From 1b940e7daa748e549ac2f928623170fa16ef1810 Mon Sep 17 00:00:00 2001
From: kurokobo <kuro664@gmail.com>
Date: Thu, 9 Jan 2025 01:04:58 +0900
Subject: [PATCH 001/217] feat: add ci job to test template for docker compose
 (#12514)

---
 .github/workflows/style.yml | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
index b5e63a8870..12213380bd 100644
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -82,6 +82,33 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         run: yarn run lint
 
+  docker-compose-template:
+    name: Docker Compose Template
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v45
+        with:
+          files: |
+            docker/generate_docker_compose
+            docker/.env.example
+            docker/docker-compose-template.yaml
+            docker/docker-compose.yaml
+
+      - name: Generate Docker Compose
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: |
+          cd docker
+          ./generate_docker_compose
+
+      - name: Check for changes
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: git diff --exit-code
 
   superlinter:
     name: SuperLinter

From b4c1c2f73100c942090bff951d8c5125e55fa4ec Mon Sep 17 00:00:00 2001
From: Hiroshi Fujita <fujita-h@users.noreply.github.com>
Date: Thu, 9 Jan 2025 11:21:22 +0900
Subject: [PATCH 002/217] fix: Reverse sync docker-compose-template.yaml
 (#12509)

---
 docker/.env.example                 |  2 +-
 docker/docker-compose-template.yaml | 12 ++++++++++--
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/docker/.env.example b/docker/.env.example
index 333050a892..b21bdc7085 100644
--- a/docker/.env.example
+++ b/docker/.env.example
@@ -513,7 +513,7 @@ TENCENT_VECTOR_DB_SHARD=1
 TENCENT_VECTOR_DB_REPLICAS=2
 
 # ElasticSearch configuration, only available when VECTOR_STORE is `elasticsearch`
-ELASTICSEARCH_HOST=elasticsearch
+ELASTICSEARCH_HOST=0.0.0.0
 ELASTICSEARCH_PORT=9200
 ELASTICSEARCH_USERNAME=elastic
 ELASTICSEARCH_PASSWORD=elastic
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index c96b0538ca..6d70f14424 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -409,7 +409,7 @@ services:
 
   milvus-standalone:
     container_name: milvus-standalone
-    image: milvusdb/milvus:v2.3.1
+    image: milvusdb/milvus:v2.5.0-beta
     profiles:
       - milvus
     command: [ 'milvus', 'run', 'standalone' ]
@@ -493,20 +493,28 @@ services:
     container_name: elasticsearch
     profiles:
       - elasticsearch
+      - elasticsearch-ja
     restart: always
     volumes:
+      - ./elasticsearch/docker-entrypoint.sh:/docker-entrypoint-mount.sh
       - dify_es01_data:/usr/share/elasticsearch/data
     environment:
       ELASTIC_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic}
+      VECTOR_STORE: ${VECTOR_STORE:-}
       cluster.name: dify-es-cluster
       node.name: dify-es0
       discovery.type: single-node
-      xpack.license.self_generated.type: trial
+      xpack.license.self_generated.type: basic
       xpack.security.enabled: 'true'
       xpack.security.enrollment.enabled: 'false'
       xpack.security.http.ssl.enabled: 'false'
     ports:
       - ${ELASTICSEARCH_PORT:-9200}:9200
+    deploy:
+      resources:
+        limits:
+          memory: 2g
+    entrypoint: [ 'sh', '-c', "sh /docker-entrypoint-mount.sh" ]
     healthcheck:
       test: [ 'CMD', 'curl', '-s', 'http://localhost:9200/_cluster/health?pretty' ]
       interval: 30s

From b7a4e3903e4e3ab2e2c1d4d8ca8dd6879ef0712e Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Thu, 9 Jan 2025 10:40:45 +0800
Subject: [PATCH 003/217] fix: add last_refresh_time to track the validity of
 is_other_tab_refreshing (#12517)

---
 web/service/refresh-token.ts | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/web/service/refresh-token.ts b/web/service/refresh-token.ts
index b193779629..f42b10cc8e 100644
--- a/web/service/refresh-token.ts
+++ b/web/service/refresh-token.ts
@@ -21,16 +21,23 @@ function waitUntilTokenRefreshed() {
   })
 }
 
+const isRefreshingSignAvailable = function (delta: number) {
+  const nowTime = new Date().getTime()
+  const lastTime = globalThis.localStorage.getItem('last_refresh_time') || '0'
+  return nowTime - parseInt(lastTime) <= delta
+}
+
 // only one request can send
-async function getNewAccessToken(): Promise<void> {
+async function getNewAccessToken(timeout: number): Promise<void> {
   try {
     const isRefreshingSign = globalThis.localStorage.getItem(LOCAL_STORAGE_KEY)
-    if ((isRefreshingSign && isRefreshingSign === '1') || isRefreshing) {
+    if ((isRefreshingSign && isRefreshingSign === '1' && isRefreshingSignAvailable(timeout)) || isRefreshing) {
       await waitUntilTokenRefreshed()
     }
     else {
       isRefreshing = true
       globalThis.localStorage.setItem(LOCAL_STORAGE_KEY, '1')
+      globalThis.localStorage.setItem('last_refresh_time', new Date().getTime().toString())
       globalThis.addEventListener('beforeunload', releaseRefreshLock)
       const refresh_token = globalThis.localStorage.getItem('refresh_token')
 
@@ -72,6 +79,7 @@ function releaseRefreshLock() {
   if (isRefreshing) {
     isRefreshing = false
     globalThis.localStorage.removeItem(LOCAL_STORAGE_KEY)
+    globalThis.localStorage.removeItem('last_refresh_time')
     globalThis.removeEventListener('beforeunload', releaseRefreshLock)
   }
 }
@@ -80,5 +88,5 @@ export async function refreshAccessTokenOrRelogin(timeout: number) {
   return Promise.race([new Promise<void>((resolve, reject) => setTimeout(() => {
     releaseRefreshLock()
     reject(new Error('request timeout'))
-  }, timeout)), getNewAccessToken()])
+  }, timeout)), getNewAccessToken(timeout)])
 }

From dbe7a7c4fd96330005fc81864a50fe1f84ac8bda Mon Sep 17 00:00:00 2001
From: Gen Sato <52241300+halogen22@users.noreply.github.com>
Date: Thu, 9 Jan 2025 15:37:46 +0900
Subject: [PATCH 004/217] Fix: Add a INFO-level log when fallback to
 gpt2tokenizer (#12508)

---
 .../model_providers/__base/tokenizers/gpt2_tokenzier.py       | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py
index 7f3c4a61e4..2f6f4fbbef 100644
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py
+++ b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py
@@ -1,6 +1,9 @@
+import logging
 from threading import Lock
 from typing import Any
 
+logger = logging.getLogger(__name__)
+
 _tokenizer: Any = None
 _lock = Lock()
 
@@ -43,5 +46,6 @@ class GPT2Tokenizer:
                     base_path = abspath(__file__)
                     gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
                     _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
+                    logger.info("Fallback to Transformers' GPT-2 tokenizer from tiktoken")
 
             return _tokenizer

From 20f090537ff0071975dccd158d8b10a86968d6cb Mon Sep 17 00:00:00 2001
From: eux <euxuuu@gmail.com>
Date: Thu, 9 Jan 2025 14:52:09 +0800
Subject: [PATCH 005/217] feat: add GET upload file API endpoint to dataset
 service api (#11899)

---
 api/controllers/service_api/__init__.py       |  2 +-
 .../service_api/dataset/upload_file.py        | 54 +++++++++++++++++++
 .../datasets/template/template.en.mdx         | 51 ++++++++++++++++++
 .../datasets/template/template.zh.mdx         | 51 ++++++++++++++++++
 4 files changed, 157 insertions(+), 1 deletion(-)
 create mode 100644 api/controllers/service_api/dataset/upload_file.py

diff --git a/api/controllers/service_api/__init__.py b/api/controllers/service_api/__init__.py
index d6ab96c329..aba9e3ecbb 100644
--- a/api/controllers/service_api/__init__.py
+++ b/api/controllers/service_api/__init__.py
@@ -7,4 +7,4 @@ api = ExternalApi(bp)
 
 from . import index
 from .app import app, audio, completion, conversation, file, message, workflow
-from .dataset import dataset, document, hit_testing, segment
+from .dataset import dataset, document, hit_testing, segment, upload_file
diff --git a/api/controllers/service_api/dataset/upload_file.py b/api/controllers/service_api/dataset/upload_file.py
new file mode 100644
index 0000000000..6382b63ea9
--- /dev/null
+++ b/api/controllers/service_api/dataset/upload_file.py
@@ -0,0 +1,54 @@
+from werkzeug.exceptions import NotFound
+
+from controllers.service_api import api
+from controllers.service_api.wraps import (
+    DatasetApiResource,
+)
+from core.file import helpers as file_helpers
+from extensions.ext_database import db
+from models.dataset import Dataset
+from models.model import UploadFile
+from services.dataset_service import DocumentService
+
+
+class UploadFileApi(DatasetApiResource):
+    def get(self, tenant_id, dataset_id, document_id):
+        """Get upload file."""
+        # check dataset
+        dataset_id = str(dataset_id)
+        tenant_id = str(tenant_id)
+        dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
+        if not dataset:
+            raise NotFound("Dataset not found.")
+        # check document
+        document_id = str(document_id)
+        document = DocumentService.get_document(dataset.id, document_id)
+        if not document:
+            raise NotFound("Document not found.")
+        # check upload file
+        if document.data_source_type != "upload_file":
+            raise ValueError(f"Document data source type ({document.data_source_type}) is not upload_file.")
+        data_source_info = document.data_source_info_dict
+        if data_source_info and "upload_file_id" in data_source_info:
+            file_id = data_source_info["upload_file_id"]
+            upload_file = db.session.query(UploadFile).filter(UploadFile.id == file_id).first()
+            if not upload_file:
+                raise NotFound("UploadFile not found.")
+        else:
+            raise ValueError("Upload file id not found in document data source info.")
+
+        url = file_helpers.get_signed_file_url(upload_file_id=upload_file.id)
+        return {
+            "id": upload_file.id,
+            "name": upload_file.name,
+            "size": upload_file.size,
+            "extension": upload_file.extension,
+            "url": url,
+            "download_url": f"{url}&as_attachment=true",
+            "mime_type": upload_file.mime_type,
+            "created_by": upload_file.created_by,
+            "created_at": upload_file.created_at.timestamp(),
+        }, 200
+
+
+api.add_resource(UploadFileApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/upload-file")
diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx
index 81b7842da4..b38cf38b9a 100644
--- a/web/app/(commonLayout)/datasets/template/template.en.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.en.mdx
@@ -1106,6 +1106,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 
 <hr className='ml-0 mr-0' />
 
+<Heading
+  url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
+  method='GET'
+  title='Get Upload File'
+  name='#get_upload_file'
+/>
+<Row>
+  <Col>
+    ### Path
+    <Properties>
+      <Property name='dataset_id' type='string' key='dataset_id'>
+        Knowledge ID
+      </Property>
+      <Property name='document_id' type='string' key='document_id'>
+        Document ID
+      </Property>
+    </Properties>
+  </Col>
+  <Col sticky>
+    <CodeGroup
+      title="Request"
+      tag="GET"
+      label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
+      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
+    >
+    ```bash {{ title: 'cURL' }}
+    curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
+    --header 'Authorization: Bearer {api_key}' \
+    --header 'Content-Type: application/json'
+    ```
+    </CodeGroup>
+    <CodeGroup title="Response">
+    ```json {{ title: 'Response' }}
+    {
+      "id": "file_id",
+      "name": "file_name",
+      "size": 1024,
+      "extension": "txt",
+      "url": "preview_url",
+      "download_url": "download_url",
+      "mime_type": "text/plain",
+      "created_by": "user_id",
+      "created_at": 1728734540,
+    }
+    ```
+    </CodeGroup>
+  </Col>
+</Row>
+
+<hr className='ml-0 mr-0' />
+
 <Heading
   url='/datasets/{dataset_id}/retrieve'
   method='POST'
diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx
index 0d8540b225..7bb773eee9 100644
--- a/web/app/(commonLayout)/datasets/template/template.zh.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx
@@ -1107,6 +1107,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 
 <hr className='ml-0 mr-0' />
 
+<Heading
+  url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
+  method='GET'
+  title='获取上传文件'
+  name='#get_upload_file'
+/>
+<Row>
+  <Col>
+    ### Path
+    <Properties>
+      <Property name='dataset_id' type='string' key='dataset_id'>
+        知识库 ID
+      </Property>
+      <Property name='document_id' type='string' key='document_id'>
+        文档 ID
+      </Property>
+    </Properties>
+  </Col>
+  <Col sticky>
+    <CodeGroup
+      title="Request"
+      tag="GET"
+      label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
+      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
+    >
+    ```bash {{ title: 'cURL' }}
+    curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
+    --header 'Authorization: Bearer {api_key}' \
+    --header 'Content-Type: application/json'
+    ```
+    </CodeGroup>
+    <CodeGroup title="Response">
+    ```json {{ title: 'Response' }}
+    {
+      "id": "file_id",
+      "name": "file_name",
+      "size": 1024,
+      "extension": "txt",
+      "url": "preview_url",
+      "download_url": "download_url",
+      "mime_type": "text/plain",
+      "created_by": "user_id",
+      "created_at": 1728734540,
+    }
+    ```
+    </CodeGroup>
+  </Col>
+</Row>
+
+<hr className='ml-0 mr-0' />
+
 <Heading
   url='/datasets/{dataset_id}/retrieve'
   method='POST'

From e84bf35e2acd1bb24036e8a7b617e0efc344be67 Mon Sep 17 00:00:00 2001
From: huangzhuo1949 <167434202+huangzhuo1949@users.noreply.github.com>
Date: Thu, 9 Jan 2025 15:16:41 +0800
Subject: [PATCH 006/217] fix: same chunk insert deadlock (#12502)

Co-authored-by: huangzhuo <huangzhuo1@xiaomi.com>
---
 api/core/indexing_runner.py | 18 ++++++++++++++----
 1 file changed, 14 insertions(+), 4 deletions(-)

diff --git a/api/core/indexing_runner.py b/api/core/indexing_runner.py
index 05000c5400..1bc4baf9c0 100644
--- a/api/core/indexing_runner.py
+++ b/api/core/indexing_runner.py
@@ -530,7 +530,6 @@ class IndexingRunner:
         # chunk nodes by chunk size
         indexing_start_at = time.perf_counter()
         tokens = 0
-        chunk_size = 10
         if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
             # create keyword index
             create_keyword_thread = threading.Thread(
@@ -539,11 +538,22 @@ class IndexingRunner:
             )
             create_keyword_thread.start()
 
+        max_workers = 10
         if dataset.indexing_technique == "high_quality":
-            with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
+            with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
                 futures = []
-                for i in range(0, len(documents), chunk_size):
-                    chunk_documents = documents[i : i + chunk_size]
+
+                # Distribute documents into multiple groups based on the hash values of page_content
+                # This is done to prevent multiple threads from processing the same document,
+                # Thereby avoiding potential database insertion deadlocks
+                document_groups: list[list[Document]] = [[] for _ in range(max_workers)]
+                for document in documents:
+                    hash = helper.generate_text_hash(document.page_content)
+                    group_index = int(hash, 16) % max_workers
+                    document_groups[group_index].append(document)
+                for chunk_documents in document_groups:
+                    if len(chunk_documents) == 0:
+                        continue
                     futures.append(
                         executor.submit(
                             self._process_chunk,

From f230a9232e00f0c4288ba3f1959d84fe06cc35e3 Mon Sep 17 00:00:00 2001
From: lotsik <lotsik@mail.ru>
Date: Thu, 9 Jan 2025 10:30:43 +0300
Subject: [PATCH 007/217] fix: Parsing OpenAPI spec for external tools (#12518)
 (#12530)

---
 api/core/tools/utils/parser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py
index f1dc1123b9..30e4fdcf06 100644
--- a/api/core/tools/utils/parser.py
+++ b/api/core/tools/utils/parser.py
@@ -112,7 +112,7 @@ class ApiBasedToolSchemaParser:
                                 llm_description=property.get("description", ""),
                                 default=property.get("default", None),
                                 placeholder=I18nObject(
-                                    en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
+                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
                                 ),
                             )
 

From a085ad47192b5a76f2d5587e226cf13d3f8a35bc Mon Sep 17 00:00:00 2001
From: crazywoola <100913391+crazywoola@users.noreply.github.com>
Date: Thu, 9 Jan 2025 15:36:13 +0800
Subject: [PATCH 008/217] feat: show workflow running status (#12531)

---
 web/app/components/app/text-generate/item/index.tsx    | 10 ++++++++--
 web/app/components/base/chat/chat/answer/index.tsx     |  9 +++++----
 .../base/chat/chat/answer/workflow-process.tsx         | 10 ++++++----
 3 files changed, 19 insertions(+), 10 deletions(-)

diff --git a/web/app/components/app/text-generate/item/index.tsx b/web/app/components/app/text-generate/item/index.tsx
index ac868e6ee3..3e2f837685 100644
--- a/web/app/components/app/text-generate/item/index.tsx
+++ b/web/app/components/app/text-generate/item/index.tsx
@@ -306,8 +306,14 @@ const GenerationItem: FC<IGenerationItemProps> = ({
             }
             <div className={`flex ${contentClassName}`}>
               <div className='grow w-0'>
-                {siteInfo && siteInfo.show_workflow_steps && workflowProcessData && (
-                  <WorkflowProcessItem data={workflowProcessData} expand={workflowProcessData.expand} hideProcessDetail={hideProcessDetail} />
+                {siteInfo && workflowProcessData && (
+                  <WorkflowProcessItem
+                    data={workflowProcessData}
+                    expand={workflowProcessData.expand}
+                    hideProcessDetail={hideProcessDetail}
+                    hideInfo={hideProcessDetail}
+                    readonly={!siteInfo.show_workflow_steps}
+                  />
                 )}
                 {workflowProcessData && !isError && (
                   <ResultTab data={workflowProcessData} content={content} currentTab={currentTab} onCurrentTabChange={setCurrentTab} />
diff --git a/web/app/components/base/chat/chat/answer/index.tsx b/web/app/components/base/chat/chat/answer/index.tsx
index c6d14ddead..2ceaf81e78 100644
--- a/web/app/components/base/chat/chat/answer/index.tsx
+++ b/web/app/components/base/chat/chat/answer/index.tsx
@@ -13,7 +13,7 @@ import AgentContent from './agent-content'
 import BasicContent from './basic-content'
 import SuggestedQuestions from './suggested-questions'
 import More from './more'
-import WorkflowProcess from './workflow-process'
+import WorkflowProcessItem from './workflow-process'
 import LoadingAnim from '@/app/components/base/chat/chat/loading-anim'
 import Citation from '@/app/components/base/chat/chat/citation'
 import { EditTitle } from '@/app/components/app/annotation/edit-annotation-modal/edit-item'
@@ -133,7 +133,7 @@ const Answer: FC<AnswerProps> = ({
             {/** Render the normal steps */}
             {
               workflowProcess && !hideProcessDetail && (
-                <WorkflowProcess
+                <WorkflowProcessItem
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
@@ -142,11 +142,12 @@ const Answer: FC<AnswerProps> = ({
             }
             {/** Hide workflow steps by it's settings in siteInfo */}
             {
-              workflowProcess && hideProcessDetail && appData && appData.site.show_workflow_steps && (
-                <WorkflowProcess
+              workflowProcess && hideProcessDetail && appData && (
+                <WorkflowProcessItem
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
+                  readonly={!appData.site.show_workflow_steps}
                 />
               )
             }
diff --git a/web/app/components/base/chat/chat/answer/workflow-process.tsx b/web/app/components/base/chat/chat/answer/workflow-process.tsx
index bb9abdb6fc..4dcac1aafc 100644
--- a/web/app/components/base/chat/chat/answer/workflow-process.tsx
+++ b/web/app/components/base/chat/chat/answer/workflow-process.tsx
@@ -23,6 +23,7 @@ type WorkflowProcessProps = {
   expand?: boolean
   hideInfo?: boolean
   hideProcessDetail?: boolean
+  readonly?: boolean
 }
 const WorkflowProcessItem = ({
   data,
@@ -30,6 +31,7 @@ const WorkflowProcessItem = ({
   expand = false,
   hideInfo = false,
   hideProcessDetail = false,
+  readonly = false,
 }: WorkflowProcessProps) => {
   const { t } = useTranslation()
   const [collapse, setCollapse] = useState(!expand)
@@ -81,8 +83,8 @@ const WorkflowProcessItem = ({
       }}
     >
       <div
-        className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5')}
-        onClick={() => setCollapse(!collapse)}
+        className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5', readonly && 'cursor-default')}
+        onClick={() => !readonly && setCollapse(!collapse)}
       >
         {
           running && (
@@ -102,10 +104,10 @@ const WorkflowProcessItem = ({
         <div className={cn('system-xs-medium text-text-secondary', !collapse && 'grow')}>
           {t('workflow.common.workflowProcess')}
         </div>
-        <RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />
+        {!readonly && <RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />}
       </div>
       {
-        !collapse && (
+        !collapse && !readonly && (
           <div className='mt-1.5'>
             {
               <TracingPanel

From f549d53b682c09fcf2cfa65655b0b25489eceb2a Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Thu, 9 Jan 2025 16:04:14 +0800
Subject: [PATCH 009/217] fix: sum costs return error value on overview page
 (#12534)

---
 web/app/components/app/overview/appChart.tsx | 7 +++----
 web/package.json                             | 1 +
 web/yarn.lock                                | 5 +++++
 3 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/web/app/components/app/overview/appChart.tsx b/web/app/components/app/overview/appChart.tsx
index e0788bcda3..43b1cb6afe 100644
--- a/web/app/components/app/overview/appChart.tsx
+++ b/web/app/components/app/overview/appChart.tsx
@@ -6,6 +6,7 @@ import type { EChartsOption } from 'echarts'
 import useSWR from 'swr'
 import dayjs from 'dayjs'
 import { get } from 'lodash-es'
+import Decimal from 'decimal.js'
 import { useTranslation } from 'react-i18next'
 import { formatNumber } from '@/utils/format'
 import Basic from '@/app/components/app-sidebar/basic'
@@ -60,10 +61,8 @@ const CHART_TYPE_CONFIG: Record<string, IChartConfigType> = {
   },
 }
 
-const sum = (arr: number[]): number => {
-  return arr.reduce((acr, cur) => {
-    return acr + cur
-  })
+const sum = (arr: Decimal.Value[]): number => {
+  return Decimal.sum(...arr).toNumber()
 }
 
 const defaultPeriod = {
diff --git a/web/package.json b/web/package.json
index 304a42871b..7afb766d87 100644
--- a/web/package.json
+++ b/web/package.json
@@ -50,6 +50,7 @@
     "copy-to-clipboard": "^3.3.3",
     "crypto-js": "^4.2.0",
     "dayjs": "^1.11.7",
+    "decimal.js": "^10.4.3",
     "echarts": "^5.5.1",
     "echarts-for-react": "^3.0.2",
     "elkjs": "^0.9.3",
diff --git a/web/yarn.lock b/web/yarn.lock
index 339f47c236..6eed53dd39 100644
--- a/web/yarn.lock
+++ b/web/yarn.lock
@@ -5568,6 +5568,11 @@ decimal.js@^10.4.2:
   resolved "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz"
   integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
 
+decimal.js@^10.4.3:
+  version "10.4.3"
+  resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.4.3.tgz#1044092884d245d1b7f65725fa4ad4c6f781cc23"
+  integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
+
 decode-named-character-reference@^1.0.0:
   version "1.0.2"
   resolved "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz"

From 2e97ba5700d7a166373805cf4307ca2477f55a1b Mon Sep 17 00:00:00 2001
From: Wu Tianwei <30284043+WTW0313@users.noreply.github.com>
Date: Thu, 9 Jan 2025 17:44:11 +0800
Subject: [PATCH 010/217] fix: Add datasets list access control and fix
 datasets config display issue (#12533)

Co-authored-by: nite-knite <nkCoding@gmail.com>
---
 web/app/(commonLayout)/datasets/Container.tsx | 21 +++++--
 web/app/(commonLayout)/datasets/Datasets.tsx  | 10 +++-
 .../datasets/template/template.en.mdx         | 48 +++++++++++++++-
 .../datasets/template/template.zh.mdx         | 50 +++++++++++++++--
 .../datasets/create/step-two/index.tsx        | 14 +++--
 .../datasets/settings/form/index.tsx          | 56 ++++++++++---------
 web/app/components/develop/md.tsx             |  7 +++
 web/i18n/en-US/dataset.ts                     |  2 +
 web/i18n/zh-Hans/dataset.ts                   |  2 +
 web/models/datasets.ts                        | 11 ++++
 web/service/datasets.ts                       |  3 +-
 11 files changed, 174 insertions(+), 50 deletions(-)

diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx
index a0edb1cd61..c39d9c5dbf 100644
--- a/web/app/(commonLayout)/datasets/Container.tsx
+++ b/web/app/(commonLayout)/datasets/Container.tsx
@@ -4,7 +4,8 @@
 import { useEffect, useMemo, useRef, useState } from 'react'
 import { useRouter } from 'next/navigation'
 import { useTranslation } from 'react-i18next'
-import { useDebounceFn } from 'ahooks'
+import { useBoolean, useDebounceFn } from 'ahooks'
+import { useQuery } from '@tanstack/react-query'
 
 // Components
 import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel'
@@ -16,7 +17,9 @@ import TabSliderNew from '@/app/components/base/tab-slider-new'
 import TagManagementModal from '@/app/components/base/tag-management'
 import TagFilter from '@/app/components/base/tag-management/filter'
 import Button from '@/app/components/base/button'
+import Input from '@/app/components/base/input'
 import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development'
+import CheckboxWithLabel from '@/app/components/datasets/create/website/base/checkbox-with-label'
 
 // Services
 import { fetchDatasetApiBaseUrl } from '@/service/datasets'
@@ -26,16 +29,14 @@ import { useTabSearchParams } from '@/hooks/use-tab-searchparams'
 import { useStore as useTagStore } from '@/app/components/base/tag-management/store'
 import { useAppContext } from '@/context/app-context'
 import { useExternalApiPanel } from '@/context/external-api-panel-context'
-// eslint-disable-next-line import/order
-import { useQuery } from '@tanstack/react-query'
-import Input from '@/app/components/base/input'
 
 const Container = () => {
   const { t } = useTranslation()
   const router = useRouter()
-  const { currentWorkspace } = useAppContext()
+  const { currentWorkspace, isCurrentWorkspaceOwner } = useAppContext()
   const showTagManagementModal = useTagStore(s => s.showTagManagementModal)
   const { showExternalApiPanel, setShowExternalApiPanel } = useExternalApiPanel()
+  const [includeAll, { toggle: toggleIncludeAll }] = useBoolean(false)
 
   const options = useMemo(() => {
     return [
@@ -90,6 +91,14 @@ const Container = () => {
         />
         {activeTab === 'dataset' && (
           <div className='flex items-center justify-center gap-2'>
+            {isCurrentWorkspaceOwner && <CheckboxWithLabel
+              isChecked={includeAll}
+              onChange={toggleIncludeAll}
+              label={t('dataset.allKnowledge')}
+              labelClassName='system-md-regular text-text-secondary'
+              className='mr-2'
+              tooltip={t('dataset.allKnowledgeDescription') as string}
+            />}
             <TagFilter type='knowledge' value={tagFilterValue} onChange={handleTagsChange} />
             <Input
               showLeftIcon
@@ -113,7 +122,7 @@ const Container = () => {
       </div>
       {activeTab === 'dataset' && (
         <>
-          <Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} />
+          <Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} includeAll={includeAll} />
           <DatasetFooter />
           {showTagManagementModal && (
             <TagManagementModal type='knowledge' show={showTagManagementModal} />
diff --git a/web/app/(commonLayout)/datasets/Datasets.tsx b/web/app/(commonLayout)/datasets/Datasets.tsx
index db6cb4a518..ea918a2b17 100644
--- a/web/app/(commonLayout)/datasets/Datasets.tsx
+++ b/web/app/(commonLayout)/datasets/Datasets.tsx
@@ -6,7 +6,7 @@ import { debounce } from 'lodash-es'
 import { useTranslation } from 'react-i18next'
 import NewDatasetCard from './NewDatasetCard'
 import DatasetCard from './DatasetCard'
-import type { DataSetListResponse } from '@/models/datasets'
+import type { DataSetListResponse, FetchDatasetsParams } from '@/models/datasets'
 import { fetchDatasets } from '@/service/datasets'
 import { useAppContext } from '@/context/app-context'
 
@@ -15,13 +15,15 @@ const getKey = (
   previousPageData: DataSetListResponse,
   tags: string[],
   keyword: string,
+  includeAll: boolean,
 ) => {
   if (!pageIndex || previousPageData.has_more) {
-    const params: any = {
+    const params: FetchDatasetsParams = {
       url: 'datasets',
       params: {
         page: pageIndex + 1,
         limit: 30,
+        include_all: includeAll,
       },
     }
     if (tags.length)
@@ -37,16 +39,18 @@ type Props = {
   containerRef: React.RefObject<HTMLDivElement>
   tags: string[]
   keywords: string
+  includeAll: boolean
 }
 
 const Datasets = ({
   containerRef,
   tags,
   keywords,
+  includeAll,
 }: Props) => {
   const { isCurrentWorkspaceEditor } = useAppContext()
   const { data, isLoading, setSize, mutate } = useSWRInfinite(
-    (pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords),
+    (pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords, includeAll),
     fetchDatasets,
     { revalidateFirstPage: false, revalidateAll: true },
   )
diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx
index b38cf38b9a..3fa22a1620 100644
--- a/web/app/(commonLayout)/datasets/template/template.en.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.en.mdx
@@ -1,5 +1,5 @@
 import { CodeGroup } from '@/app/components/develop/code.tsx'
-import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
+import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
 
 # Knowledge API
 
@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
               - <code>max_tokens</code> The maximum length (tokens) must be validated to be shorter than the length of the parent chunk
               - <code>chunk_overlap</code> Define the overlap between adjacent chunks (optional)
       </Property>
+      <PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        Retrieval model
+          - <code>search_method</code> (string) Search method
+            - <code>hybrid_search</code> Hybrid search
+            - <code>semantic_search</code> Semantic search
+            - <code>full_text_search</code> Full-text search
+          - <code>reranking_enable</code> (bool) Whether to enable reranking
+          - <code>reranking_mode</code> (object) Rerank model configuration
+            - <code>reranking_provider_name</code> (string) Rerank model provider
+            - <code>reranking_model_name</code> (string) Rerank model name
+          - <code>top_k</code> (int) Number of results to return
+          - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
+          - <code>score_threshold</code> (float) Score threshold
+      </Property>
+      <Property name='embedding_model' type='string' key='embedding_model'>
+        Embedding model name
+      </Property>
+      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
+        Embedding model provider
+      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
       <Property name='file' type='multipart/form-data' key='file'>
         Files that need to be uploaded.
       </Property>
+      <PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        Retrieval model
+          - <code>search_method</code> (string) Search method
+            - <code>hybrid_search</code> Hybrid search
+            - <code>semantic_search</code> Semantic search
+            - <code>full_text_search</code> Full-text search
+          - <code>reranking_enable</code> (bool) Whether to enable reranking
+          - <code>reranking_mode</code> (object) Rerank model configuration
+            - <code>reranking_provider_name</code> (string) Rerank model provider
+            - <code>reranking_model_name</code> (string) Rerank model name
+          - <code>top_k</code> (int) Number of results to return
+          - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
+          - <code>score_threshold</code> (float) Score threshold
+      </Property>
+      <Property name='embedding_model' type='string' key='embedding_model'>
+        Embedding model name
+      </Property>
+      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
+        Embedding model provider
+      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -1188,10 +1230,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
         - <code>reranking_mode</code> (object) Rerank model configuration, required if reranking is enabled
             - <code>reranking_provider_name</code> (string) Rerank model provider
             - <code>reranking_model_name</code> (string) Rerank model name
-        - <code>weights</code> (double) Semantic search weight setting in hybrid search mode
+        - <code>weights</code> (float) Semantic search weight setting in hybrid search mode
         - <code>top_k</code> (integer) Number of results to return (optional)
         - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
-        - <code>score_threshold</code> (double) Score threshold
+        - <code>score_threshold</code> (float) Score threshold
       </Property>
       <Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
           Unused field
diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx
index 7bb773eee9..334591743f 100644
--- a/web/app/(commonLayout)/datasets/template/template.zh.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx
@@ -1,5 +1,5 @@
 import { CodeGroup } from '@/app/components/develop/code.tsx'
-import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
+import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
 
 # 知识库 API
 
@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
               - <code>max_tokens</code> 最大长度 (token) 需要校验小于父级的长度
               - <code>chunk_overlap</code> 分段重叠指的是在对数据进行分段时，段与段之间存在一定的重叠部分（选填）
       </Property>
+      <PropertyInstruction>当知识库未设置任何参数的时候，首次上传需要提供以下参数，未提供则使用默认选项：</PropertyInstruction>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        检索模式
+          - <code>search_method</code> (string) 检索方法
+            - <code>hybrid_search</code> 混合检索
+            - <code>semantic_search</code> 语义检索
+            - <code>full_text_search</code> 全文检索
+          - <code>reranking_enable</code> (bool) 是否开启rerank
+          - <code>reranking_model</code> (object) Rerank 模型配置
+            - <code>reranking_provider_name</code> (string) Rerank 模型的提供商
+            - <code>reranking_model_name</code> (string) Rerank 模型的名称
+          - <code>top_k</code> (int) 召回条数
+          - <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
+          - <code>score_threshold</code> (float) 召回分数限制
+      </Property>
+      <Property name='embedding_model' type='string' key='embedding_model'>
+        Embedding 模型名称
+      </Property>
+      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
+        Embedding 模型供应商
+      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
       <Property name='file' type='multipart/form-data' key='file'>
         需要上传的文件。
       </Property>
+      <PropertyInstruction>当知识库未设置任何参数的时候，首次上传需要提供以下参数，未提供则使用默认选项：</PropertyInstruction>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        检索模式
+          - <code>search_method</code> (string) 检索方法
+            - <code>hybrid_search</code> 混合检索
+            - <code>semantic_search</code> 语义检索
+            - <code>full_text_search</code> 全文检索
+          - <code>reranking_enable</code> (bool) 是否开启rerank
+          - <code>reranking_model</code> (object) Rerank 模型配置
+            - <code>reranking_provider_name</code> (string) Rerank 模型的提供商
+            - <code>reranking_model_name</code> (string) Rerank 模型的名称
+          - <code>top_k</code> (int) 召回条数
+          - <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
+          - <code>score_threshold</code> (float) 召回分数限制
+      </Property>
+      <Property name='embedding_model' type='string' key='embedding_model'>
+        Embedding 模型名称
+      </Property>
+      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
+        Embedding 模型供应商
+      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -1186,13 +1228,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
           - <code>full_text_search</code> 全文检索
           - <code>hybrid_search</code> 混合检索
         - <code>reranking_enable</code> (bool) 是否启用 Reranking，非必填，如果检索模式为 semantic_search 模式或者 hybrid_search 则传值
-        - <code>reranking_mode</code> (object) Rerank模型配置，非必填，如果启用了 reranking 则传值
+        - <code>reranking_mode</code> (object) Rerank 模型配置，非必填，如果启用了 reranking 则传值
             - <code>reranking_provider_name</code> (string) Rerank 模型提供商
             - <code>reranking_model_name</code> (string) Rerank 模型名称
-        - <code>weights</code> (double) 混合检索模式下语意检索的权重设置
+        - <code>weights</code> (float) 混合检索模式下语意检索的权重设置
         - <code>top_k</code> (integer) 返回结果数量，非必填
         - <code>score_threshold_enabled</code> (bool) 是否开启 score 阈值
-        - <code>score_threshold</code> (double) Score 阈值
+        - <code>score_threshold</code> (float) Score 阈值
       </Property>
       <Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
           未启用字段
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx
index 27ca16579b..11984d71c6 100644
--- a/web/app/components/datasets/create/step-two/index.tsx
+++ b/web/app/components/datasets/create/step-two/index.tsx
@@ -575,6 +575,8 @@ const StepTwo = ({
   const economyDomRef = useRef<HTMLDivElement>(null)
   const isHoveringEconomy = useHover(economyDomRef)
 
+  const isModelAndRetrievalConfigDisabled = !!datasetId && !!currentDataset?.data_source_type
+
   return (
     <div className='flex w-full h-full'>
       <div className={cn('relative h-full w-1/2 py-6 overflow-y-auto', isMobile ? 'px-4' : 'px-12')}>
@@ -931,15 +933,15 @@ const StepTwo = ({
           <div className='mt-5'>
             <div className={cn('system-md-semibold mb-1', datasetId && 'flex justify-between items-center')}>{t('datasetSettings.form.embeddingModel')}</div>
             <ModelSelector
-              readonly={!!datasetId}
-              triggerClassName={datasetId ? 'opacity-50' : ''}
+              readonly={isModelAndRetrievalConfigDisabled}
+              triggerClassName={isModelAndRetrievalConfigDisabled ? 'opacity-50' : ''}
               defaultModel={embeddingModel}
               modelList={embeddingModelList}
               onSelect={(model: DefaultModel) => {
                 setEmbeddingModel(model)
               }}
             />
-            {!!datasetId && (
+            {isModelAndRetrievalConfigDisabled && (
               <div className='mt-2 system-xs-medium'>
                 {t('datasetCreation.stepTwo.indexSettingTip')}
                 <Link className='text-text-accent' href={`/datasets/${datasetId}/settings`}>{t('datasetCreation.stepTwo.datasetSettingLink')}</Link>
@@ -950,7 +952,7 @@ const StepTwo = ({
         <Divider className='my-5' />
         {/* Retrieval Method Config */}
         <div>
-          {!datasetId
+          {!isModelAndRetrievalConfigDisabled
             ? (
               <div className={'mb-1'}>
                 <div className='system-md-semibold mb-0.5'>{t('datasetSettings.form.retrievalSetting.title')}</div>
@@ -971,14 +973,14 @@ const StepTwo = ({
               getIndexing_technique() === IndexingType.QUALIFIED
                 ? (
                   <RetrievalMethodConfig
-                    disabled={!!datasetId}
+                    disabled={isModelAndRetrievalConfigDisabled}
                     value={retrievalConfig}
                     onChange={setRetrievalConfig}
                   />
                 )
                 : (
                   <EconomicalRetrievalMethodConfig
-                    disabled={!!datasetId}
+                    disabled={isModelAndRetrievalConfigDisabled}
                     value={retrievalConfig}
                     onChange={setRetrievalConfig}
                   />
diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx
index 760954d6cb..42ea7d637b 100644
--- a/web/app/components/datasets/settings/form/index.tsx
+++ b/web/app/components/datasets/settings/form/index.tsx
@@ -223,7 +223,7 @@ const Form = () => {
               <IndexMethodRadio
                 disable={!currentDataset?.embedding_available}
                 value={indexMethod}
-                onChange={v => setIndexMethod(v)}
+                onChange={v => setIndexMethod(v!)}
                 docForm={currentDataset.doc_form}
                 currentValue={currentDataset.indexing_technique}
               />
@@ -300,35 +300,37 @@ const Form = () => {
             </div>
           </div>
         </>
-        : <>
-          <div className='w-full h-0 border-b border-divider-subtle my-1' />
-          <div className={rowClass}>
-            <div className={labelClass}>
-              <div>
-                <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
-                <div className='body-xs-regular text-text-tertiary'>
-                  <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
-                  {t('datasetSettings.form.retrievalSetting.description')}
+        : indexMethod
+          ? <>
+            <div className='w-full h-0 border-b border-divider-subtle my-1' />
+            <div className={rowClass}>
+              <div className={labelClass}>
+                <div>
+                  <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
+                  <div className='body-xs-regular text-text-tertiary'>
+                    <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
+                    {t('datasetSettings.form.retrievalSetting.description')}
+                  </div>
                 </div>
               </div>
+              <div className='grow'>
+                {indexMethod === IndexingType.QUALIFIED
+                  ? (
+                    <RetrievalMethodConfig
+                      value={retrievalConfig}
+                      onChange={setRetrievalConfig}
+                    />
+                  )
+                  : (
+                    <EconomicalRetrievalMethodConfig
+                      value={retrievalConfig}
+                      onChange={setRetrievalConfig}
+                    />
+                  )}
+              </div>
             </div>
-            <div className='grow'>
-              {indexMethod === 'high_quality'
-                ? (
-                  <RetrievalMethodConfig
-                    value={retrievalConfig}
-                    onChange={setRetrievalConfig}
-                  />
-                )
-                : (
-                  <EconomicalRetrievalMethodConfig
-                    value={retrievalConfig}
-                    onChange={setRetrievalConfig}
-                  />
-                )}
-            </div>
-          </div>
-        </>
+          </>
+          : null
       }
       <div className='w-full h-0 border-b border-divider-subtle my-1' />
       <div className={rowClass}>
diff --git a/web/app/components/develop/md.tsx b/web/app/components/develop/md.tsx
index 26b4007c87..c75798fcfe 100644
--- a/web/app/components/develop/md.tsx
+++ b/web/app/components/develop/md.tsx
@@ -1,4 +1,5 @@
 'use client'
+import type { PropsWithChildren } from 'react'
 import classNames from '@/utils/classnames'
 
 type IChildrenProps = {
@@ -139,3 +140,9 @@ export function SubProperty({ name, type, children }: ISubProperty) {
     </li>
   )
 }
+
+export function PropertyInstruction({ children }: PropsWithChildren<{}>) {
+  return (
+    <li className="m-0 px-0 py-4 first:pt-0 italic">{children}</li>
+  )
+}
diff --git a/web/i18n/en-US/dataset.ts b/web/i18n/en-US/dataset.ts
index 6a6df700d7..4e1f2549d8 100644
--- a/web/i18n/en-US/dataset.ts
+++ b/web/i18n/en-US/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
     cancel: 'Cancel',
   },
   preprocessDocument: '{{num}} Preprocess Documents',
+  allKnowledge: 'All Knowledge',
+  allKnowledgeDescription: 'Select to display all knowledge in this workspace. Only the Workspace Owner can manage all knowledge.',
 }
 
 export default translation
diff --git a/web/i18n/zh-Hans/dataset.ts b/web/i18n/zh-Hans/dataset.ts
index d7834b4116..bedd114b73 100644
--- a/web/i18n/zh-Hans/dataset.ts
+++ b/web/i18n/zh-Hans/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
     cancel: '取消',
   },
   preprocessDocument: '{{num}} 个预处理文档',
+  allKnowledge: '所有知识库',
+  allKnowledgeDescription: '选择以显示该工作区内所有知识库。只有工作区所有者才能管理所有知识库。',
 }
 
 export default translation
diff --git a/web/models/datasets.ts b/web/models/datasets.ts
index 9d4768b67c..673fb5fb15 100644
--- a/web/models/datasets.ts
+++ b/web/models/datasets.ts
@@ -132,6 +132,17 @@ export type FileItem = {
   progress: number
 }
 
+export type FetchDatasetsParams = {
+  url: string
+  params: {
+    page: number
+    tag_ids?: string[]
+    limit: number
+    include_all: boolean
+    keyword?: string
+  }
+}
+
 export type DataSetListResponse = {
   data: DataSet[]
   has_more: boolean
diff --git a/web/service/datasets.ts b/web/service/datasets.ts
index 87f4e3a638..f2065de382 100644
--- a/web/service/datasets.ts
+++ b/web/service/datasets.ts
@@ -13,6 +13,7 @@ import type {
   ExternalAPIUsage,
   ExternalKnowledgeBaseHitTestingResponse,
   ExternalKnowledgeItem,
+  FetchDatasetsParams,
   FileIndexingEstimateResponse,
   HitTestingRecordsResponse,
   HitTestingResponse,
@@ -67,7 +68,7 @@ export const fetchDatasetRelatedApps: Fetcher<RelatedAppResponse, string> = (dat
   return get<RelatedAppResponse>(`/datasets/${datasetId}/related-apps`)
 }
 
-export const fetchDatasets: Fetcher<DataSetListResponse, { url: string; params: { page: number; ids?: string[]; limit?: number } }> = ({ url, params }) => {
+export const fetchDatasets: Fetcher<DataSetListResponse, FetchDatasetsParams> = ({ url, params }) => {
   const urlParams = qs.stringify(params, { indices: false })
   return get<DataSetListResponse>(`${url}?${urlParams}`)
 }

From 14ee51aeadee5ecf45a5ac6b99be248f2e76bd30 Mon Sep 17 00:00:00 2001
From: Jyong <76649700+JohnJyong@users.noreply.github.com>
Date: Thu, 9 Jan 2025 20:21:25 +0800
Subject: [PATCH 011/217] Feat/add knowledge include all filter (#12537)

---
 api/controllers/console/datasets/datasets.py   | 4 ++--
 api/controllers/service_api/dataset/dataset.py | 5 ++++-
 api/services/dataset_service.py                | 4 ++--
 3 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 2da45a7bb6..386e45c58e 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -52,12 +52,12 @@ class DatasetListApi(Resource):
         # provider = request.args.get("provider", default="vendor")
         search = request.args.get("keyword", default=None, type=str)
         tag_ids = request.args.getlist("tag_ids")
-
+        include_all = request.args.get("include_all", default="false").lower() == "true"
         if ids:
             datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
         else:
             datasets, total = DatasetService.get_datasets(
-                page, limit, current_user.current_tenant_id, current_user, search, tag_ids
+                page, limit, current_user.current_tenant_id, current_user, search, tag_ids, include_all
             )
 
         # check embedding setting
diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py
index d6a3beb6b8..49acdd693a 100644
--- a/api/controllers/service_api/dataset/dataset.py
+++ b/api/controllers/service_api/dataset/dataset.py
@@ -31,8 +31,11 @@ class DatasetListApi(DatasetApiResource):
         # provider = request.args.get("provider", default="vendor")
         search = request.args.get("keyword", default=None, type=str)
         tag_ids = request.args.getlist("tag_ids")
+        include_all = request.args.get("include_all", default="false").lower() == "true"
 
-        datasets, total = DatasetService.get_datasets(page, limit, tenant_id, current_user, search, tag_ids)
+        datasets, total = DatasetService.get_datasets(
+            page, limit, tenant_id, current_user, search, tag_ids, include_all
+        )
         # check embedding setting
         provider_manager = ProviderManager()
         configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id)
diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index 82433b64ff..dac0a6a772 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -71,7 +71,7 @@ from tasks.sync_website_document_indexing_task import sync_website_document_inde
 
 class DatasetService:
     @staticmethod
-    def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None):
+    def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None, include_all=False):
         query = Dataset.query.filter(Dataset.tenant_id == tenant_id).order_by(Dataset.created_at.desc())
 
         if user:
@@ -86,7 +86,7 @@ class DatasetService:
                 else:
                     return [], 0
             else:
-                if user.current_role != TenantAccountRole.OWNER:
+                if user.current_role != TenantAccountRole.OWNER or not include_all:
                     # show all datasets that the user has permission to access
                     if permitted_dataset_ids:
                         query = query.filter(

From 140965b738fd5eec13b4f92caf5e84e86c6c45a3 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 9 Jan 2025 20:30:06 +0800
Subject: [PATCH 012/217] chore: translate i18n files (#12543)

Co-authored-by: WTW0313 <30284043+WTW0313@users.noreply.github.com>
---
 web/i18n/de-DE/common.ts    | 1 +
 web/i18n/de-DE/dataset.ts   | 2 ++
 web/i18n/es-ES/common.ts    | 1 +
 web/i18n/es-ES/dataset.ts   | 2 ++
 web/i18n/fa-IR/common.ts    | 1 +
 web/i18n/fa-IR/dataset.ts   | 2 ++
 web/i18n/fr-FR/common.ts    | 1 +
 web/i18n/fr-FR/dataset.ts   | 2 ++
 web/i18n/hi-IN/common.ts    | 1 +
 web/i18n/hi-IN/dataset.ts   | 2 ++
 web/i18n/it-IT/common.ts    | 1 +
 web/i18n/it-IT/dataset.ts   | 2 ++
 web/i18n/ja-JP/common.ts    | 1 +
 web/i18n/ja-JP/dataset.ts   | 2 ++
 web/i18n/ko-KR/common.ts    | 1 +
 web/i18n/ko-KR/dataset.ts   | 2 ++
 web/i18n/pl-PL/common.ts    | 1 +
 web/i18n/pl-PL/dataset.ts   | 2 ++
 web/i18n/pt-BR/common.ts    | 1 +
 web/i18n/pt-BR/dataset.ts   | 2 ++
 web/i18n/ro-RO/common.ts    | 1 +
 web/i18n/ro-RO/dataset.ts   | 2 ++
 web/i18n/ru-RU/common.ts    | 1 +
 web/i18n/ru-RU/dataset.ts   | 2 ++
 web/i18n/sl-SI/common.ts    | 1 +
 web/i18n/sl-SI/dataset.ts   | 2 ++
 web/i18n/th-TH/common.ts    | 1 +
 web/i18n/th-TH/dataset.ts   | 2 ++
 web/i18n/tr-TR/common.ts    | 1 +
 web/i18n/tr-TR/dataset.ts   | 2 ++
 web/i18n/uk-UA/common.ts    | 1 +
 web/i18n/uk-UA/dataset.ts   | 2 ++
 web/i18n/vi-VN/common.ts    | 1 +
 web/i18n/vi-VN/dataset.ts   | 2 ++
 web/i18n/zh-Hant/common.ts  | 1 +
 web/i18n/zh-Hant/dataset.ts | 2 ++
 36 files changed, 54 insertions(+)

diff --git a/web/i18n/de-DE/common.ts b/web/i18n/de-DE/common.ts
index f97403ed5e..915fc2a277 100644
--- a/web/i18n/de-DE/common.ts
+++ b/web/i18n/de-DE/common.ts
@@ -49,6 +49,7 @@ const translation = {
     view: 'Ansehen',
     submit: 'Senden',
     skip: 'Schiff',
+    imageCopied: 'Kopiertes Bild',
   },
   placeholder: {
     input: 'Bitte eingeben',
diff --git a/web/i18n/de-DE/dataset.ts b/web/i18n/de-DE/dataset.ts
index e0bc91723c..3d3535b32c 100644
--- a/web/i18n/de-DE/dataset.ts
+++ b/web/i18n/de-DE/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   localDocs: 'Lokale Dokumente',
   preprocessDocument: '{{num}} Vorverarbeiten von Dokumenten',
   documentsDisabled: '{{num}} Dokumente deaktiviert - seit über 30 Tagen inaktiv',
+  allKnowledge: 'Alles Wissen',
+  allKnowledgeDescription: 'Wählen Sie diese Option aus, um das gesamte Wissen in diesem Arbeitsbereich anzuzeigen. Nur der Workspace-Besitzer kann das gesamte Wissen verwalten.',
 }
 
 export default translation
diff --git a/web/i18n/es-ES/common.ts b/web/i18n/es-ES/common.ts
index 074f9385c2..936da90200 100644
--- a/web/i18n/es-ES/common.ts
+++ b/web/i18n/es-ES/common.ts
@@ -49,6 +49,7 @@ const translation = {
     view: 'Vista',
     submit: 'Enviar',
     skip: 'Navío',
+    imageCopied: 'Imagen copiada',
   },
   errorMsg: {
     fieldRequired: '{{field}} es requerido',
diff --git a/web/i18n/es-ES/dataset.ts b/web/i18n/es-ES/dataset.ts
index 5fb668f1f3..3bfdd8f46c 100644
--- a/web/i18n/es-ES/dataset.ts
+++ b/web/i18n/es-ES/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: '{{num}} Documentos desactivados - inactivos durante más de 30 días',
   preprocessDocument: '{{num}} Documentos de preprocesamiento',
   localDocs: 'Documentos locales',
+  allKnowledgeDescription: 'Seleccione esta opción para mostrar todos los conocimientos de este espacio de trabajo. Solo el propietario del espacio de trabajo puede administrar todo el conocimiento.',
+  allKnowledge: 'Todo el conocimiento',
 }
 
 export default translation
diff --git a/web/i18n/fa-IR/common.ts b/web/i18n/fa-IR/common.ts
index aed3152465..53086071aa 100644
--- a/web/i18n/fa-IR/common.ts
+++ b/web/i18n/fa-IR/common.ts
@@ -49,6 +49,7 @@ const translation = {
     saveAndRegenerate: 'ذخیره و بازسازی تکه های فرزند',
     submit: 'ارسال',
     skip: 'کشتی',
+    imageCopied: 'تصویر کپی شده',
   },
   errorMsg: {
     fieldRequired: '{{field}} الزامی است',
diff --git a/web/i18n/fa-IR/dataset.ts b/web/i18n/fa-IR/dataset.ts
index c8cc83ae9c..70012a0590 100644
--- a/web/i18n/fa-IR/dataset.ts
+++ b/web/i18n/fa-IR/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: '{{num}} اسناد غیرفعال - غیرفعال برای بیش از 30 روز',
   preprocessDocument: '{{عدد}} اسناد پیش پردازش',
   localDocs: 'اسناد محلی',
+  allKnowledge: 'همه دانش ها',
+  allKnowledgeDescription: 'برای نمایش تمام دانش در این فضای کاری انتخاب کنید. فقط مالک فضای کاری می تواند تمام دانش را مدیریت کند.',
 }
 
 export default translation
diff --git a/web/i18n/fr-FR/common.ts b/web/i18n/fr-FR/common.ts
index 38aeafebab..662f53ab66 100644
--- a/web/i18n/fr-FR/common.ts
+++ b/web/i18n/fr-FR/common.ts
@@ -49,6 +49,7 @@ const translation = {
     regenerate: 'Régénérer',
     submit: 'Envoyer',
     skip: 'Bateau',
+    imageCopied: 'Image copied',
   },
   placeholder: {
     input: 'Veuillez entrer',
diff --git a/web/i18n/fr-FR/dataset.ts b/web/i18n/fr-FR/dataset.ts
index bdaea09eec..b288e513ef 100644
--- a/web/i18n/fr-FR/dataset.ts
+++ b/web/i18n/fr-FR/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: '{{num}} documents désactivés - inactifs depuis plus de 30 jours',
   localDocs: 'Docs locaux',
   enable: 'Activer',
+  allKnowledge: 'Toutes les connaissances',
+  allKnowledgeDescription: 'Sélectionnez cette option pour afficher toutes les connaissances dans cet espace de travail. Seul le propriétaire de l’espace de travail peut gérer toutes les connaissances.',
 }
 
 export default translation
diff --git a/web/i18n/hi-IN/common.ts b/web/i18n/hi-IN/common.ts
index 109a295fa1..2a14cd0279 100644
--- a/web/i18n/hi-IN/common.ts
+++ b/web/i18n/hi-IN/common.ts
@@ -49,6 +49,7 @@ const translation = {
     saveAndRegenerate: 'सहेजें और पुन: उत्पन्न करें बाल विखंडू',
     skip: 'जहाज़',
     submit: 'जमा करें',
+    imageCopied: 'कॉपी की गई छवि',
   },
   errorMsg: {
     fieldRequired: '{{field}} आवश्यक है',
diff --git a/web/i18n/hi-IN/dataset.ts b/web/i18n/hi-IN/dataset.ts
index d3838e3dd0..b95f13088c 100644
--- a/web/i18n/hi-IN/dataset.ts
+++ b/web/i18n/hi-IN/dataset.ts
@@ -173,6 +173,8 @@ const translation = {
   preprocessDocument: '{{num}} प्रीप्रोसेस दस्तावेज़',
   enable: 'योग्य बनाना',
   documentsDisabled: '{{num}} दस्तावेज़ अक्षम - 30 दिनों से अधिक समय से निष्क्रिय',
+  allKnowledge: 'सर्व ज्ञान',
+  allKnowledgeDescription: 'इस कार्यस्थान में सभी ज्ञान प्रदर्शित करने के लिए चयन करें. केवल कार्यस्थान स्वामी ही सभी ज्ञान का प्रबंधन कर सकता है.',
 }
 
 export default translation
diff --git a/web/i18n/it-IT/common.ts b/web/i18n/it-IT/common.ts
index 9f5ec24dc3..c764a93dac 100644
--- a/web/i18n/it-IT/common.ts
+++ b/web/i18n/it-IT/common.ts
@@ -49,6 +49,7 @@ const translation = {
     viewMore: 'SCOPRI DI PIÙ',
     submit: 'Invia',
     skip: 'Nave',
+    imageCopied: 'Immagine copiata',
   },
   errorMsg: {
     fieldRequired: '{{field}} è obbligatorio',
diff --git a/web/i18n/it-IT/dataset.ts b/web/i18n/it-IT/dataset.ts
index fc15ca5929..dec41bec42 100644
--- a/web/i18n/it-IT/dataset.ts
+++ b/web/i18n/it-IT/dataset.ts
@@ -173,6 +173,8 @@ const translation = {
   enable: 'Abilitare',
   documentsDisabled: '{{num}} documenti disabilitati - inattivi da oltre 30 giorni',
   localDocs: 'Documenti locali',
+  allKnowledge: 'Tutta la conoscenza',
+  allKnowledgeDescription: 'Selezionare questa opzione per visualizzare tutte le informazioni in questa area di lavoro. Solo il proprietario dell\'area di lavoro può gestire tutte le conoscenze.',
 }
 
 export default translation
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index 8944bda2fb..e176f5d139 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -49,6 +49,7 @@ const translation = {
     regenerate: '再生成',
     submit: '送信',
     skip: 'スキップ',
+    imageCopied: 'コピーした画像',
   },
   errorMsg: {
     fieldRequired: '{{field}}は必要です',
diff --git a/web/i18n/ja-JP/dataset.ts b/web/i18n/ja-JP/dataset.ts
index f7a6968c10..f589d97b75 100644
--- a/web/i18n/ja-JP/dataset.ts
+++ b/web/i18n/ja-JP/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
     cancel: 'キャンセル',
   },
   preprocessDocument: '{{num}}件のドキュメントを前処理',
+  allKnowledge: 'すべての知識',
+  allKnowledgeDescription: 'このワークスペースにすべてのナレッジを表示する場合に選択します。ワークスペースのオーナーのみがすべてのナレッジを管理できます。',
 }
 
 export default translation
diff --git a/web/i18n/ko-KR/common.ts b/web/i18n/ko-KR/common.ts
index 207ffa44cc..a11af1ba31 100644
--- a/web/i18n/ko-KR/common.ts
+++ b/web/i18n/ko-KR/common.ts
@@ -49,6 +49,7 @@ const translation = {
     saveAndRegenerate: '저장 및 자식 청크 재생성',
     submit: '전송',
     skip: '배',
+    imageCopied: '복사된 이미지',
   },
   placeholder: {
     input: '입력해주세요',
diff --git a/web/i18n/ko-KR/dataset.ts b/web/i18n/ko-KR/dataset.ts
index db187ec421..4d622cf7f2 100644
--- a/web/i18n/ko-KR/dataset.ts
+++ b/web/i18n/ko-KR/dataset.ts
@@ -165,6 +165,8 @@ const translation = {
   preprocessDocument: '{{숫자}} 문서 전처리',
   enable: '사용',
   documentsDisabled: '{{num}} 문서 사용 안 함 - 30일 이상 비활성 상태',
+  allKnowledge: '모든 지식',
+  allKnowledgeDescription: '이 작업 영역의 모든 정보를 표시하려면 선택합니다. 워크스페이스 소유자만 모든 기술 자료를 관리할 수 있습니다.',
 }
 
 export default translation
diff --git a/web/i18n/pl-PL/common.ts b/web/i18n/pl-PL/common.ts
index 87e3dfe48e..d6502416c3 100644
--- a/web/i18n/pl-PL/common.ts
+++ b/web/i18n/pl-PL/common.ts
@@ -49,6 +49,7 @@ const translation = {
     close: 'Zamykać',
     submit: 'Prześlij',
     skip: 'Statek',
+    imageCopied: 'Skopiowany obraz',
   },
   placeholder: {
     input: 'Proszę wprowadzić',
diff --git a/web/i18n/pl-PL/dataset.ts b/web/i18n/pl-PL/dataset.ts
index 3db197bd76..9a5ed10a5a 100644
--- a/web/i18n/pl-PL/dataset.ts
+++ b/web/i18n/pl-PL/dataset.ts
@@ -172,6 +172,8 @@ const translation = {
   localDocs: 'Lokalne dokumenty',
   documentsDisabled: '{{num}} dokumenty wyłączone - nieaktywne przez ponad 30 dni',
   enable: 'Umożliwiać',
+  allKnowledge: 'Cała wiedza',
+  allKnowledgeDescription: 'Wybierz tę opcję, aby wyświetlić całą wiedzę w tym obszarze roboczym. Tylko właściciel obszaru roboczego może zarządzać całą wiedzą.',
 }
 
 export default translation
diff --git a/web/i18n/pt-BR/common.ts b/web/i18n/pt-BR/common.ts
index ec1203a648..d0327de642 100644
--- a/web/i18n/pt-BR/common.ts
+++ b/web/i18n/pt-BR/common.ts
@@ -49,6 +49,7 @@ const translation = {
     view: 'Vista',
     submit: 'Enviar',
     skip: 'Navio',
+    imageCopied: 'Imagem copiada',
   },
   placeholder: {
     input: 'Por favor, insira',
diff --git a/web/i18n/pt-BR/dataset.ts b/web/i18n/pt-BR/dataset.ts
index c3c3e3b631..c8214e1645 100644
--- a/web/i18n/pt-BR/dataset.ts
+++ b/web/i18n/pt-BR/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   enable: 'Habilitar',
   preprocessDocument: '{{num}} Documentos de pré-processamento',
   localDocs: 'Documentos locais',
+  allKnowledgeDescription: 'Selecione para exibir todo o conhecimento neste espaço de trabalho. Somente o proprietário do espaço de trabalho pode gerenciar todo o conhecimento.',
+  allKnowledge: 'Todo o conhecimento',
 }
 
 export default translation
diff --git a/web/i18n/ro-RO/common.ts b/web/i18n/ro-RO/common.ts
index 39ecc896c6..8f0cbc64cb 100644
--- a/web/i18n/ro-RO/common.ts
+++ b/web/i18n/ro-RO/common.ts
@@ -49,6 +49,7 @@ const translation = {
     view: 'Vedere',
     submit: 'Prezinte',
     skip: 'Navă',
+    imageCopied: 'Imagine copiată',
   },
   placeholder: {
     input: 'Vă rugăm să introduceți',
diff --git a/web/i18n/ro-RO/dataset.ts b/web/i18n/ro-RO/dataset.ts
index b73230f4c5..2feff67596 100644
--- a/web/i18n/ro-RO/dataset.ts
+++ b/web/i18n/ro-RO/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   preprocessDocument: '{{num}} Procesarea prealabilă a documentelor',
   enable: 'Activa',
   localDocs: 'Documente locale',
+  allKnowledge: 'Toate cunoștințele',
+  allKnowledgeDescription: 'Selectați pentru a afișa toate cunoștințele din acest spațiu de lucru. Doar proprietarul spațiului de lucru poate gestiona toate cunoștințele.',
 }
 
 export default translation
diff --git a/web/i18n/ru-RU/common.ts b/web/i18n/ru-RU/common.ts
index 4c606a1f65..2d8535e6a0 100644
--- a/web/i18n/ru-RU/common.ts
+++ b/web/i18n/ru-RU/common.ts
@@ -49,6 +49,7 @@ const translation = {
     saveAndRegenerate: 'Сохранение и повторное создание дочерних блоков',
     submit: 'Отправить',
     skip: 'Корабль',
+    imageCopied: 'Скопированное изображение',
   },
   errorMsg: {
     fieldRequired: '{{field}} обязательно',
diff --git a/web/i18n/ru-RU/dataset.ts b/web/i18n/ru-RU/dataset.ts
index c2831756f1..41da4333f4 100644
--- a/web/i18n/ru-RU/dataset.ts
+++ b/web/i18n/ru-RU/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: 'Документы {{num}} отключены - неактивны более 30 дней',
   localDocs: 'Местная документация',
   enable: 'Давать возможность',
+  allKnowledge: 'Все знания',
+  allKnowledgeDescription: 'Выберите, чтобы отобразить все знания в этой рабочей области. Только владелец рабочего пространства может управлять всеми знаниями.',
 }
 
 export default translation
diff --git a/web/i18n/sl-SI/common.ts b/web/i18n/sl-SI/common.ts
index cde5bf034e..2d30e0b76c 100644
--- a/web/i18n/sl-SI/common.ts
+++ b/web/i18n/sl-SI/common.ts
@@ -49,6 +49,7 @@ const translation = {
     viewMore: 'POGLEJ VEČ',
     submit: 'Predložiti',
     skip: 'Ladja',
+    imageCopied: 'Kopirana slika',
   },
   errorMsg: {
     fieldRequired: '{{field}} je obvezno',
diff --git a/web/i18n/sl-SI/dataset.ts b/web/i18n/sl-SI/dataset.ts
index e0d46be82f..0161a0ad8d 100644
--- a/web/i18n/sl-SI/dataset.ts
+++ b/web/i18n/sl-SI/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: '{{num}} dokumenti onemogočeni - neaktivni več kot 30 dni',
   preprocessDocument: '{{num}} Predobdelava dokumentov',
   enable: 'Omogočiti',
+  allKnowledge: 'Vse znanje',
+  allKnowledgeDescription: 'Izberite, če želite prikazati vse znanje v tem delovnem prostoru. Samo lastnik delovnega prostora lahko upravlja vse znanje.',
 }
 
 export default translation
diff --git a/web/i18n/th-TH/common.ts b/web/i18n/th-TH/common.ts
index ea8d5e5b1d..ab6def82c5 100644
--- a/web/i18n/th-TH/common.ts
+++ b/web/i18n/th-TH/common.ts
@@ -49,6 +49,7 @@ const translation = {
     close: 'ปิด',
     skip: 'เรือ',
     submit: 'ส่ง',
+    imageCopied: 'ภาพที่คัดลอก',
   },
   errorMsg: {
     fieldRequired: '{{field}} เป็นสิ่งจําเป็น',
diff --git a/web/i18n/th-TH/dataset.ts b/web/i18n/th-TH/dataset.ts
index a2a07bf5a1..1877226dc4 100644
--- a/web/i18n/th-TH/dataset.ts
+++ b/web/i18n/th-TH/dataset.ts
@@ -165,6 +165,8 @@ const translation = {
   preprocessDocument: '{{num}} เอกสารการประมวลผลล่วงหน้า',
   documentsDisabled: '{{num}} เอกสารถูกปิดใช้งาน - ไม่ได้ใช้งานนานกว่า 30 วัน',
   enable: 'เปิด',
+  allKnowledge: 'ความรู้ทั้งหมด',
+  allKnowledgeDescription: 'เลือกเพื่อแสดงความรู้ทั้งหมดในพื้นที่ทํางานนี้ เฉพาะเจ้าของพื้นที่ทํางานเท่านั้นที่สามารถจัดการความรู้ทั้งหมดได้',
 }
 
 export default translation
diff --git a/web/i18n/tr-TR/common.ts b/web/i18n/tr-TR/common.ts
index a427537a7b..ea764ebd29 100644
--- a/web/i18n/tr-TR/common.ts
+++ b/web/i18n/tr-TR/common.ts
@@ -49,6 +49,7 @@ const translation = {
     close: 'Kapatmak',
     submit: 'Gönder',
     skip: 'Gemi',
+    imageCopied: 'Kopyalanan görüntü',
   },
   errorMsg: {
     fieldRequired: '{{field}} gereklidir',
diff --git a/web/i18n/tr-TR/dataset.ts b/web/i18n/tr-TR/dataset.ts
index facaf3ee5b..6183849ebc 100644
--- a/web/i18n/tr-TR/dataset.ts
+++ b/web/i18n/tr-TR/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   localDocs: 'Yerel Dokümanlar',
   documentsDisabled: '{{num}} belge devre dışı - 30 günden uzun süre etkin değil',
   enable: 'Etkinleştirmek',
+  allKnowledge: 'Tüm Bilgiler',
+  allKnowledgeDescription: 'Bu çalışma alanındaki tüm bilgileri görüntülemek için seçin. Yalnızca Çalışma Alanı Sahibi tüm bilgileri yönetebilir.',
 }
 
 export default translation
diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts
index 38929f13d5..bfdaf7c7ca 100644
--- a/web/i18n/uk-UA/common.ts
+++ b/web/i18n/uk-UA/common.ts
@@ -49,6 +49,7 @@ const translation = {
     saveAndRegenerate: 'Збереження та регенерація дочірніх фрагментів',
     submit: 'Представити',
     skip: 'Корабель',
+    imageCopied: 'Скопійоване зображення',
   },
   placeholder: {
     input: 'Будь ласка, введіть текст',
diff --git a/web/i18n/uk-UA/dataset.ts b/web/i18n/uk-UA/dataset.ts
index e4ec8851ae..20948e7b99 100644
--- a/web/i18n/uk-UA/dataset.ts
+++ b/web/i18n/uk-UA/dataset.ts
@@ -167,6 +167,8 @@ const translation = {
   documentsDisabled: 'Документи {{num}} вимкнені - неактивні понад 30 днів',
   localDocs: 'Локальні документи',
   enable: 'Вмикати',
+  allKnowledge: 'Всі знання',
+  allKnowledgeDescription: 'Виберіть, щоб відобразити всі знання в цій робочій області. Тільки власник робочої області може керувати всіма знаннями.',
 }
 
 export default translation
diff --git a/web/i18n/vi-VN/common.ts b/web/i18n/vi-VN/common.ts
index 7115a86eae..9fd1af1d44 100644
--- a/web/i18n/vi-VN/common.ts
+++ b/web/i18n/vi-VN/common.ts
@@ -49,6 +49,7 @@ const translation = {
     viewMore: 'XEM THÊM',
     submit: 'Trình',
     skip: 'Tàu',
+    imageCopied: 'Hình ảnh sao chép',
   },
   placeholder: {
     input: 'Vui lòng nhập',
diff --git a/web/i18n/vi-VN/dataset.ts b/web/i18n/vi-VN/dataset.ts
index 0e9ab77d0f..1ab84bb85f 100644
--- a/web/i18n/vi-VN/dataset.ts
+++ b/web/i18n/vi-VN/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   enable: 'Kích hoạt',
   preprocessDocument: '{{số}} Tiền xử lý tài liệu',
   documentsDisabled: '{{num}} tài liệu bị vô hiệu hóa - không hoạt động trong hơn 30 ngày',
+  allKnowledge: 'Tất cả kiến thức',
+  allKnowledgeDescription: 'Chọn để hiển thị tất cả kiến thức trong không gian làm việc này. Chỉ Chủ sở hữu không gian làm việc mới có thể quản lý tất cả kiến thức.',
 }
 
 export default translation
diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts
index 32d5e7318d..8317fca4ea 100644
--- a/web/i18n/zh-Hant/common.ts
+++ b/web/i18n/zh-Hant/common.ts
@@ -49,6 +49,7 @@ const translation = {
     regenerate: '再生',
     submit: '提交',
     skip: '船',
+    imageCopied: '複製的圖片',
   },
   placeholder: {
     input: '請輸入',
diff --git a/web/i18n/zh-Hant/dataset.ts b/web/i18n/zh-Hant/dataset.ts
index 1aaeb50cd2..6a0d9cab21 100644
--- a/web/i18n/zh-Hant/dataset.ts
+++ b/web/i18n/zh-Hant/dataset.ts
@@ -166,6 +166,8 @@ const translation = {
   documentsDisabled: '已禁用 {{num}} 個文檔 - 處於非活動狀態超過 30 天',
   localDocs: '本地文件',
   preprocessDocument: '{{num}}預處理文件',
+  allKnowledge: '所有知識',
+  allKnowledgeDescription: '選擇以顯示此工作區中的所有知識。只有 Workspace 擁有者可以管理所有知識。',
 }
 
 export default translation

From 989fb11fd715a96576333207189a12d8594c60f1 Mon Sep 17 00:00:00 2001
From: gakkiyomi <gakkiyomi@aliyun.com>
Date: Thu, 9 Jan 2025 21:30:17 +0800
Subject: [PATCH 013/217] improve the readability of the function
 generate_api_key (#12552)

---
 api/models/model.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/api/models/model.py b/api/models/model.py
index d2d4d5853f..d6f73c5ede 100644
--- a/api/models/model.py
+++ b/api/models/model.py
@@ -1405,9 +1405,8 @@ class ApiToken(db.Model):  # type: ignore[name-defined]
     def generate_api_key(prefix, n):
         while True:
             result = prefix + generate_string(n)
-            while db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
-                result = prefix + generate_string(n)
-
+            if db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
+                continue
             return result
 
 

From d8f57bf8992148b0dad65a9c304308cc62f6d65c Mon Sep 17 00:00:00 2001
From: Jyong <76649700+JohnJyong@users.noreply.github.com>
Date: Sun, 12 Jan 2025 14:50:46 +0800
Subject: [PATCH 014/217] Feat/new saas billing (#12591)

---
 api/controllers/console/datasets/datasets.py  | 10 +++++-
 .../console/datasets/datasets_document.py     | 10 ++++++
 .../console/datasets/datasets_segments.py     | 11 +++++++
 .../console/datasets/hit_testing.py           |  7 +++-
 api/controllers/console/wraps.py              | 33 ++++++++++++++++++-
 api/controllers/service_api/wraps.py          | 31 +++++++++++++++++
 .../knowledge_retrieval_node.py               | 20 +++++++++++
 api/services/billing_service.py               |  8 +++++
 api/services/feature_service.py               | 17 ++++++++++
 9 files changed, 144 insertions(+), 3 deletions(-)

diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 386e45c58e..45c38dba3e 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -10,7 +10,12 @@ from controllers.console import api
 from controllers.console.apikey import api_key_fields, api_key_list
 from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError, IndexingEstimateError
-from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
+from controllers.console.wraps import (
+    account_initialization_required,
+    cloud_edition_billing_rate_limit_check,
+    enterprise_license_required,
+    setup_required,
+)
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
@@ -93,6 +98,7 @@ class DatasetListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument(
@@ -207,6 +213,7 @@ class DatasetApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id):
         dataset_id_str = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id_str)
@@ -310,6 +317,7 @@ class DatasetApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id):
         dataset_id_str = str(dataset_id)
 
diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py
index c11beaeee1..c625b640a7 100644
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -27,6 +27,7 @@ from controllers.console.datasets.error import (
 )
 from controllers.console.wraps import (
     account_initialization_required,
+    cloud_edition_billing_rate_limit_check,
     cloud_edition_billing_resource_check,
     setup_required,
 )
@@ -230,6 +231,7 @@ class DatasetDocumentListApi(Resource):
     @account_initialization_required
     @marshal_with(documents_and_batch_fields)
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         dataset_id = str(dataset_id)
 
@@ -285,6 +287,7 @@ class DatasetDocumentListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -308,6 +311,7 @@ class DatasetInitApi(Resource):
     @account_initialization_required
     @marshal_with(dataset_and_document_fields)
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
         # The role of the current user in the ta table must be admin, owner, or editor
         if not current_user.is_editor:
@@ -680,6 +684,7 @@ class DocumentProcessingApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
@@ -716,6 +721,7 @@ class DocumentDeleteApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
@@ -784,6 +790,7 @@ class DocumentStatusApi(DocumentResource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -879,6 +886,7 @@ class DocumentPauseApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id):
         """pause document."""
         dataset_id = str(dataset_id)
@@ -911,6 +919,7 @@ class DocumentRecoverApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id):
         """recover document."""
         dataset_id = str(dataset_id)
@@ -940,6 +949,7 @@ class DocumentRetryApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         """retry document."""
 
diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py
index 96654c09fd..034fe9cfe2 100644
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -19,6 +19,7 @@ from controllers.console.datasets.error import (
 from controllers.console.wraps import (
     account_initialization_required,
     cloud_edition_billing_knowledge_limit_check,
+    cloud_edition_billing_rate_limit_check,
     cloud_edition_billing_resource_check,
     setup_required,
 )
@@ -106,6 +107,7 @@ class DatasetDocumentSegmentListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -137,6 +139,7 @@ class DatasetDocumentSegmentApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -192,6 +195,7 @@ class DatasetDocumentSegmentAddApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -242,6 +246,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -302,6 +307,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -339,6 +345,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -405,6 +412,7 @@ class ChildChunkAddApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -503,6 +511,7 @@ class ChildChunkAddApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -546,6 +555,7 @@ class ChildChunkUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id, segment_id, child_chunk_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -590,6 +600,7 @@ class ChildChunkUpdateApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id, child_chunk_id):
         # check dataset
         dataset_id = str(dataset_id)
diff --git a/api/controllers/console/datasets/hit_testing.py b/api/controllers/console/datasets/hit_testing.py
index 18b746f547..d344e9d126 100644
--- a/api/controllers/console/datasets/hit_testing.py
+++ b/api/controllers/console/datasets/hit_testing.py
@@ -2,7 +2,11 @@ from flask_restful import Resource  # type: ignore
 
 from controllers.console import api
 from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import (
+    account_initialization_required,
+    cloud_edition_billing_rate_limit_check,
+    setup_required,
+)
 from libs.login import login_required
 
 
@@ -10,6 +14,7 @@ class HitTestingApi(Resource, DatasetsHitTestingBase):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         dataset_id_str = str(dataset_id)
 
diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py
index 111db7ccf2..e92c0ae952 100644
--- a/api/controllers/console/wraps.py
+++ b/api/controllers/console/wraps.py
@@ -1,5 +1,6 @@
 import json
 import os
+import time
 from functools import wraps
 
 from flask import abort, request
@@ -7,6 +8,7 @@ from flask_login import current_user  # type: ignore
 
 from configs import dify_config
 from controllers.console.workspace.error import AccountNotInitializedError
+from extensions.ext_redis import redis_client
 from models.model import DifySetup
 from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService
@@ -66,7 +68,9 @@ def cloud_edition_billing_resource_check(resource: str):
                 elif resource == "apps" and 0 < apps.limit <= apps.size:
                     abort(403, "The number of apps has reached the limit of your subscription.")
                 elif resource == "vector_space" and 0 < vector_space.limit <= vector_space.size:
-                    abort(403, "The capacity of the vector space has reached the limit of your subscription.")
+                    abort(
+                        403, "The capacity of the knowledge storage space has reached the limit of your subscription."
+                    )
                 elif resource == "documents" and 0 < documents_upload_quota.limit <= documents_upload_quota.size:
                     # The api of file upload is used in the multiple places,
                     # so we need to check the source of the request from datasets
@@ -111,6 +115,33 @@ def cloud_edition_billing_knowledge_limit_check(resource: str):
     return interceptor
 
 
+def cloud_edition_billing_rate_limit_check(resource: str):
+    def interceptor(view):
+        @wraps(view)
+        def decorated(*args, **kwargs):
+            if resource == "knowledge":
+                knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(current_user.current_tenant_id)
+                if knowledge_rate_limit.enabled:
+                    current_time = int(time.time() * 1000)
+                    key = f"rate_limit_{current_user.current_tenant_id}"
+
+                    redis_client.zadd(key, {current_time: current_time})
+
+                    redis_client.zremrangebyscore(key, 0, current_time - 60000)
+
+                    request_count = redis_client.zcard(key)
+
+                    if request_count > knowledge_rate_limit.limit:
+                        abort(
+                            403, "Sorry, you have reached the knowledge base request rate limit of your subscription."
+                        )
+            return view(*args, **kwargs)
+
+        return decorated
+
+    return interceptor
+
+
 def cloud_utm_record(view):
     @wraps(view)
     def decorated(*args, **kwargs):
diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py
index 976db1eb46..8314a8240c 100644
--- a/api/controllers/service_api/wraps.py
+++ b/api/controllers/service_api/wraps.py
@@ -1,3 +1,4 @@
+import time
 from collections.abc import Callable
 from datetime import UTC, datetime, timedelta
 from enum import Enum
@@ -13,6 +14,7 @@ from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, Unauthorized
 
 from extensions.ext_database import db
+from extensions.ext_redis import redis_client
 from libs.login import _get_user
 from models.account import Account, Tenant, TenantAccountJoin, TenantStatus
 from models.model import ApiToken, App, EndUser
@@ -139,6 +141,35 @@ def cloud_edition_billing_knowledge_limit_check(resource: str, api_token_type: s
     return interceptor
 
 
+def cloud_edition_billing_rate_limit_check(resource: str, api_token_type: str):
+    def interceptor(view):
+        @wraps(view)
+        def decorated(*args, **kwargs):
+            api_token = validate_and_get_api_token(api_token_type)
+
+            if resource == "knowledge":
+                knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(api_token.tenant_id)
+                if knowledge_rate_limit.enabled:
+                    current_time = int(time.time() * 1000)
+                    key = f"rate_limit_{api_token.tenant_id}"
+
+                    redis_client.zadd(key, {current_time: current_time})
+
+                    redis_client.zremrangebyscore(key, 0, current_time - 60000)
+
+                    request_count = redis_client.zcard(key)
+
+                    if request_count > knowledge_rate_limit.limit:
+                        raise Forbidden(
+                            "Sorry, you have reached the knowledge base request rate limit of your subscription."
+                        )
+            return view(*args, **kwargs)
+
+        return decorated
+
+    return interceptor
+
+
 def validate_dataset_token(view=None):
     def decorator(view):
         @wraps(view)
diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
index 0f239af51a..be82ad2a82 100644
--- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
+++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
@@ -1,4 +1,5 @@
 import logging
+import time
 from collections.abc import Mapping, Sequence
 from typing import Any, cast
 
@@ -19,8 +20,10 @@ from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.enums import NodeType
 from extensions.ext_database import db
+from extensions.ext_redis import redis_client
 from models.dataset import Dataset, Document
 from models.workflow import WorkflowNodeExecutionStatus
+from services.feature_service import FeatureService
 
 from .entities import KnowledgeRetrievalNodeData
 from .exc import (
@@ -61,6 +64,23 @@ class KnowledgeRetrievalNode(BaseNode[KnowledgeRetrievalNodeData]):
             return NodeRunResult(
                 status=WorkflowNodeExecutionStatus.FAILED, inputs=variables, error="Query is required."
             )
+        # check rate limit
+        if self.tenant_id:
+            knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(self.tenant_id)
+            if knowledge_rate_limit.enabled:
+                current_time = int(time.time() * 1000)
+                key = f"rate_limit_{self.tenant_id}"
+                redis_client.zadd(key, {current_time: current_time})
+                redis_client.zremrangebyscore(key, 0, current_time - 60000)
+                request_count = redis_client.zcard(key)
+                if request_count > knowledge_rate_limit.limit:
+                    return NodeRunResult(
+                        status=WorkflowNodeExecutionStatus.FAILED,
+                        inputs=variables,
+                        error="Sorry, you have reached the knowledge base request rate limit of your subscription.",
+                        error_type="RateLimitExceeded",
+                    )
+
         # retrieve knowledge
         try:
             results = self._fetch_dataset_retriever(node_data=self.node_data, query=query)
diff --git a/api/services/billing_service.py b/api/services/billing_service.py
index 0d50a2aa8c..9d9dd8a368 100644
--- a/api/services/billing_service.py
+++ b/api/services/billing_service.py
@@ -19,6 +19,14 @@ class BillingService:
         billing_info = cls._send_request("GET", "/subscription/info", params=params)
         return billing_info
 
+    @classmethod
+    def get_knowledge_rate_limit(cls, tenant_id: str):
+        params = {"tenant_id": tenant_id}
+
+        knowledge_rate_limit = cls._send_request("GET", "/subscription/knowledge-rate-limit", params=params)
+
+        return knowledge_rate_limit.get("limit", 10)
+
     @classmethod
     def get_subscription(cls, plan: str, interval: str, prefilled_email: str = "", tenant_id: str = ""):
         params = {"plan": plan, "interval": interval, "prefilled_email": prefilled_email, "tenant_id": tenant_id}
diff --git a/api/services/feature_service.py b/api/services/feature_service.py
index b9261d19d7..52cfe4f2cb 100644
--- a/api/services/feature_service.py
+++ b/api/services/feature_service.py
@@ -41,6 +41,7 @@ class FeatureModel(BaseModel):
     members: LimitationModel = LimitationModel(size=0, limit=1)
     apps: LimitationModel = LimitationModel(size=0, limit=10)
     vector_space: LimitationModel = LimitationModel(size=0, limit=5)
+    knowledge_rate_limit: int = 10
     annotation_quota_limit: LimitationModel = LimitationModel(size=0, limit=10)
     documents_upload_quota: LimitationModel = LimitationModel(size=0, limit=50)
     docs_processing: str = "standard"
@@ -52,6 +53,11 @@ class FeatureModel(BaseModel):
     model_config = ConfigDict(protected_namespaces=())
 
 
+class KnowledgeRateLimitModel(BaseModel):
+    enabled: bool = False
+    limit: int = 10
+
+
 class SystemFeatureModel(BaseModel):
     sso_enforced_for_signin: bool = False
     sso_enforced_for_signin_protocol: str = ""
@@ -79,6 +85,14 @@ class FeatureService:
 
         return features
 
+    @classmethod
+    def get_knowledge_rate_limit(cls, tenant_id: str):
+        knowledge_rate_limit = KnowledgeRateLimitModel()
+        if dify_config.BILLING_ENABLED and tenant_id:
+            knowledge_rate_limit.enabled = True
+            knowledge_rate_limit.limit = BillingService.get_knowledge_rate_limit(tenant_id)
+        return knowledge_rate_limit
+
     @classmethod
     def get_system_features(cls) -> SystemFeatureModel:
         system_features = SystemFeatureModel()
@@ -144,6 +158,9 @@ class FeatureService:
         if "model_load_balancing_enabled" in billing_info:
             features.model_load_balancing_enabled = billing_info["model_load_balancing_enabled"]
 
+        if "knowledge_rate_limit" in billing_info:
+            features.knowledge_rate_limit = billing_info["knowledge_rate_limit"]["limit"]
+
     @classmethod
     def _fulfill_params_from_enterprise(cls, features):
         enterprise_info = EnterpriseService.get_info()

From cd257b91c54231d1a4f32c1ad7ff8a0db67b586b Mon Sep 17 00:00:00 2001
From: CN-P5 <heibai2006@gmail.com>
Date: Mon, 13 Jan 2025 09:06:59 +0800
Subject: [PATCH 015/217] Fix pandas indexing method for knowledge base imports
 (#12637) (#12638)

Co-authored-by: CN-P5 <heibai2006@qq.com>
---
 api/controllers/console/datasets/datasets_segments.py        | 4 ++--
 api/core/rag/index_processor/processor/qa_index_processor.py | 2 +-
 api/services/annotation_service.py                           | 2 +-
 api/tasks/batch_create_segment_to_index_task.py              | 4 ++--
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py
index 034fe9cfe2..2dd86a1b32 100644
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -375,9 +375,9 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
             result = []
             for index, row in df.iterrows():
                 if document.doc_form == "qa_model":
-                    data = {"content": row[0], "answer": row[1]}
+                    data = {"content": row.iloc[0], "answer": row.iloc[1]}
                 else:
-                    data = {"content": row[0]}
+                    data = {"content": row.iloc[0]}
                 result.append(data)
             if len(result) == 0:
                 raise ValueError("The CSV file is empty.")
diff --git a/api/core/rag/index_processor/processor/qa_index_processor.py b/api/core/rag/index_processor/processor/qa_index_processor.py
index 58b50a9fcb..0055625e13 100644
--- a/api/core/rag/index_processor/processor/qa_index_processor.py
+++ b/api/core/rag/index_processor/processor/qa_index_processor.py
@@ -112,7 +112,7 @@ class QAIndexProcessor(BaseIndexProcessor):
             df = pd.read_csv(file)
             text_docs = []
             for index, row in df.iterrows():
-                data = Document(page_content=row[0], metadata={"answer": row[1]})
+                data = Document(page_content=row.iloc[0], metadata={"answer": row.iloc[1]})
                 text_docs.append(data)
             if len(text_docs) == 0:
                 raise ValueError("The CSV file is empty.")
diff --git a/api/services/annotation_service.py b/api/services/annotation_service.py
index a946405c95..45ec1e9b5a 100644
--- a/api/services/annotation_service.py
+++ b/api/services/annotation_service.py
@@ -286,7 +286,7 @@ class AppAnnotationService:
             df = pd.read_csv(file)
             result = []
             for index, row in df.iterrows():
-                content = {"question": row[0], "answer": row[1]}
+                content = {"question": row.iloc[0], "answer": row.iloc[1]}
                 result.append(content)
             if len(result) == 0:
                 raise ValueError("The CSV file is empty.")
diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py
index 05a0f0a407..dbef6b708e 100644
--- a/api/tasks/batch_create_segment_to_index_task.py
+++ b/api/tasks/batch_create_segment_to_index_task.py
@@ -77,8 +77,8 @@ def batch_create_segment_to_index_task(
                 index_node_id=doc_id,
                 index_node_hash=segment_hash,
                 position=max_position + 1 if max_position else 1,
-                content=content,
-                word_count=len(content),
+                content=content_str,
+                word_count=len(content_str),
                 tokens=tokens,
                 created_by=user_id,
                 indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),

From a6455269f001cf584de8c1b2104eb3f97d4b739e Mon Sep 17 00:00:00 2001
From: Chuehnone <1897025+chuehnone@users.noreply.github.com>
Date: Mon, 13 Jan 2025 09:12:43 +0800
Subject: [PATCH 016/217] chore: Adjust translations to align with Taiwanese
 Mandarin conventions (#12633)

---
 web/i18n/zh-Hant/app.ts | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/web/i18n/zh-Hant/app.ts b/web/i18n/zh-Hant/app.ts
index 99de5042c2..0cf916f3ff 100644
--- a/web/i18n/zh-Hant/app.ts
+++ b/web/i18n/zh-Hant/app.ts
@@ -17,7 +17,7 @@ const translation = {
   createFromConfigFile: '透過 DSL 檔案建立',
   deleteAppConfirmTitle: '確認刪除應用?',
   deleteAppConfirmContent:
-    '刪除應用將無法撤銷。使用者將不能訪問你的應用，所有 Prompt 編排配置和日誌均將一併被刪除。',
+    '刪除應用將無法復原。使用者將無法存取你的應用，所有 Prompt 設定和日誌都將一併被刪除。',
   appDeleted: '應用已刪除',
   appDeleteFailed: '應用刪除失敗',
   join: '參與社群',
@@ -26,12 +26,12 @@ const translation = {
   newApp: {
     startFromBlank: '建立空白應用',
     startFromTemplate: '從應用模版建立',
-    captionAppType: '想要哪種應用型別？',
-    chatbotDescription: '使用大型語言模型構建基於聊天的助手',
-    completionDescription: '構建一個根據提示生成高質量文字的應用程式，例如生成文章、摘要、翻譯等。',
-    completionWarning: '該型別不久後將不再支援建立',
+    captionAppType: '想要哪種應用類型？',
+    chatbotDescription: '使用大型語言模型構建聊天助手',
+    completionDescription: '構建一個根據提示生成高品質文字的應用程式，例如生成文章、摘要、翻譯等。',
+    completionWarning: '該類型不久後將不再支援建立',
     agentDescription: '構建一個智慧Agent，可以自主選擇工具來完成任務',
-    workflowDescription: '以工作流的形式編排生成型應用，提供更多的自定義能力。 它適合有經驗的使用者。',
+    workflowDescription: '以工作流的形式編排生成型應用，提供更多的自訂設定。 它適合有經驗的使用者。',
     workflowWarning: '正在進行 Beta 測試',
     chatbotType: '聊天助手編排方法',
     basic: '基礎編排',
@@ -40,7 +40,7 @@ const translation = {
     basicDescription: '基本編排允許使用簡單的設定編排聊天機器人應用程式，而無需修改內建提示。 它適合初學者。',
     advanced: '工作流編排',
     advancedFor: '進階使用者適用',
-    advancedDescription: '工作流編排以工作流的形式編排聊天機器人，提供高度的自定義，包括編輯內建提示的能力。 它適合有經驗的使用者。',
+    advancedDescription: '工作流編排以工作流的形式編排聊天機器人，提供自訂設定，包括編輯內建提示的能力。 它適合有經驗的使用者。',
     captionName: '應用名稱 & 圖示',
     appNamePlaceholder: '給你的應用起個名字',
     captionDescription: '描述',
@@ -53,14 +53,14 @@ const translation = {
     agentAssistant: '新的智慧助手',
     completeApp: '文字生成應用',
     completeAppIntro:
-      '我要構建一個根據提示生成高質量文字的應用，例如生成文章、摘要、翻譯等',
+      '我要構建一個根據提示生成高品質文字的應用，例如生成文章、摘要、翻譯等',
     showTemplates: '我想從範例模板中選擇',
-    hideTemplates: '返回應用型別選擇',
+    hideTemplates: '返回應用類型選擇',
     Create: '建立',
     Cancel: '取消',
     nameNotEmpty: '名稱不能為空',
     appTemplateNotSelected: '請選擇應用模版',
-    appTypeRequired: '請選擇應用型別',
+    appTypeRequired: '請選擇應用類型',
     appCreated: '應用已建立',
     appCreateFailed: '應用建立失敗',
     caution: '謹慎',
@@ -111,7 +111,7 @@ const translation = {
   removeOriginal: '刪除原應用',
   switchStart: '開始遷移',
   typeSelector: {
-    all: '所有型別',
+    all: '所有類型',
     chatbot: '聊天助手',
     agent: 'Agent',
     workflow: '工作流',
@@ -150,7 +150,7 @@ const translation = {
       project: '專案',
       publicKey: '公鑰',
       secretKey: '密鑰',
-      viewDocsLink: '查看{{key}}文檔',
+      viewDocsLink: '查看{{key}}文件',
       removeConfirmTitle: '移除{{key}}配置？',
       removeConfirmContent: '當前配置正在使用中，移除它將關閉追蹤功能。',
     },
@@ -163,7 +163,7 @@ const translation = {
   importFromDSLUrl: '寄件者 URL',
   importFromDSL: '從 DSL 導入',
   importFromDSLFile: '從 DSL 檔',
-  importFromDSLUrlPlaceholder: '在此處粘貼 DSL 連結',
+  importFromDSLUrlPlaceholder: '在此處貼上 DSL 連結',
   mermaid: {
     handDrawn: '手繪',
     classic: '經典',
@@ -182,7 +182,7 @@ const translation = {
     searchAllTemplate: '搜尋所有樣本...',
     byCategories: '按類別',
   },
-  showMyCreatedAppsOnly: '我创建的',
+  showMyCreatedAppsOnly: '我建立的',
 }
 
 export default translation

From 4e101604c350bce9305c3e4c8a6e9c0d5c77e230 Mon Sep 17 00:00:00 2001
From: yihong <zouzou0208@gmail.com>
Date: Mon, 13 Jan 2025 09:38:48 +0800
Subject: [PATCH 017/217] fix: ruff check for True if ... else (#12576)

Signed-off-by: yihong0618 <zouzou0208@gmail.com>
---
 api/.ruff.toml                                               | 1 -
 api/controllers/console/explore/conversation.py              | 2 +-
 api/controllers/service_api/wraps.py                         | 2 +-
 api/controllers/web/conversation.py                          | 2 +-
 api/core/model_runtime/schema_validators/common_validator.py | 2 +-
 api/core/rag/datasource/vdb/lindorm/lindorm_vector.py        | 4 ++--
 6 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/api/.ruff.toml b/api/.ruff.toml
index 89a2da35d6..e319ed4d54 100644
--- a/api/.ruff.toml
+++ b/api/.ruff.toml
@@ -69,7 +69,6 @@ ignore = [
     "SIM108", # if-else-block-instead-of-if-exp
     "SIM113", # enumerate-for-loop
     "SIM117", # multiple-with-statements
-    "SIM210", # if-expr-with-true-false
 ]
 
 [lint.per-file-ignores]
diff --git a/api/controllers/console/explore/conversation.py b/api/controllers/console/explore/conversation.py
index 91916cbc1e..600e78e09e 100644
--- a/api/controllers/console/explore/conversation.py
+++ b/api/controllers/console/explore/conversation.py
@@ -32,7 +32,7 @@ class ConversationListApi(InstalledAppResource):
 
         pinned = None
         if "pinned" in args and args["pinned"] is not None:
-            pinned = True if args["pinned"] == "true" else False
+            pinned = args["pinned"] == "true"
 
         try:
             with Session(db.engine) as session:
diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py
index 8314a8240c..43f718306b 100644
--- a/api/controllers/service_api/wraps.py
+++ b/api/controllers/service_api/wraps.py
@@ -267,7 +267,7 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
             tenant_id=app_model.tenant_id,
             app_id=app_model.id,
             type="service_api",
-            is_anonymous=True if user_id == "DEFAULT-USER" else False,
+            is_anonymous=user_id == "DEFAULT-USER",
             session_id=user_id,
         )
         db.session.add(end_user)
diff --git a/api/controllers/web/conversation.py b/api/controllers/web/conversation.py
index 28feb1ca47..419247ea14 100644
--- a/api/controllers/web/conversation.py
+++ b/api/controllers/web/conversation.py
@@ -39,7 +39,7 @@ class ConversationListApi(WebApiResource):
 
         pinned = None
         if "pinned" in args and args["pinned"] is not None:
-            pinned = True if args["pinned"] == "true" else False
+            pinned = args["pinned"] == "true"
 
         try:
             with Session(db.engine) as session:
diff --git a/api/core/model_runtime/schema_validators/common_validator.py b/api/core/model_runtime/schema_validators/common_validator.py
index 8cc8adfc36..810a7c4c44 100644
--- a/api/core/model_runtime/schema_validators/common_validator.py
+++ b/api/core/model_runtime/schema_validators/common_validator.py
@@ -87,6 +87,6 @@ class CommonValidator:
             if value.lower() not in {"true", "false"}:
                 raise ValueError(f"Variable {credential_form_schema.variable} should be true or false")
 
-            value = True if value.lower() == "true" else False
+            value = value.lower() == "true"
 
         return value
diff --git a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
index d7a14207e9..66fba763e7 100644
--- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
+++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
@@ -258,7 +258,7 @@ class LindormVectorStore(BaseVector):
             hnsw_ef_construction = kwargs.pop("hnsw_ef_construction", 500)
             ivfpq_m = kwargs.pop("ivfpq_m", dimension)
             nlist = kwargs.pop("nlist", 1000)
-            centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", True if nlist >= 5000 else False)
+            centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", nlist >= 5000)
             centroids_hnsw_m = kwargs.pop("centroids_hnsw_m", 24)
             centroids_hnsw_ef_construct = kwargs.pop("centroids_hnsw_ef_construct", 500)
             centroids_hnsw_ef_search = kwargs.pop("centroids_hnsw_ef_search", 100)
@@ -305,7 +305,7 @@ def default_text_mapping(dimension: int, method_name: str, **kwargs: Any) -> dic
     if method_name == "ivfpq":
         ivfpq_m = kwargs["ivfpq_m"]
         nlist = kwargs["nlist"]
-        centroids_use_hnsw = True if nlist > 10000 else False
+        centroids_use_hnsw = nlist > 10000
         centroids_hnsw_m = 24
         centroids_hnsw_ef_construct = 500
         centroids_hnsw_ef_search = 100

From 831459b895c62437702b8f46594e0f18ab41f00f Mon Sep 17 00:00:00 2001
From: yihong <zouzou0208@gmail.com>
Date: Mon, 13 Jan 2025 09:55:55 +0800
Subject: [PATCH 018/217] fix: ruff with statements (#12578)

Signed-off-by: yihong0618 <zouzou0208@gmail.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
---
 api/.ruff.toml                                             | 1 +
 .../integration_tests/controllers/test_controllers.py      | 7 +++----
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/api/.ruff.toml b/api/.ruff.toml
index e319ed4d54..89a2da35d6 100644
--- a/api/.ruff.toml
+++ b/api/.ruff.toml
@@ -69,6 +69,7 @@ ignore = [
     "SIM108", # if-else-block-instead-of-if-exp
     "SIM113", # enumerate-for-loop
     "SIM117", # multiple-with-statements
+    "SIM210", # if-expr-with-true-false
 ]
 
 [lint.per-file-ignores]
diff --git a/api/tests/integration_tests/controllers/test_controllers.py b/api/tests/integration_tests/controllers/test_controllers.py
index 5e3ee6bedc..276ad3a7ed 100644
--- a/api/tests/integration_tests/controllers/test_controllers.py
+++ b/api/tests/integration_tests/controllers/test_controllers.py
@@ -4,7 +4,6 @@ from app_fixture import mock_user  # type: ignore
 
 
 def test_post_requires_login(app):
-    with app.test_client() as client:
-        with patch("flask_login.utils._get_user", mock_user):
-            response = client.get("/console/api/data-source/integrates")
-            assert response.status_code == 200
+    with app.test_client() as client, patch("flask_login.utils._get_user", mock_user):
+        response = client.get("/console/api/data-source/integrates")
+        assert response.status_code == 200

From 54b5b80a07c117237c199279f19b0ed7e4bf4ce9 Mon Sep 17 00:00:00 2001
From: Kevin9703 <51311316+Kevin9703@users.noreply.github.com>
Date: Mon, 13 Jan 2025 14:54:21 +0800
Subject: [PATCH 019/217] fix(workflow): fix answer node stream processing in
 conditional branches (#12510)

---
 .../nodes/answer/base_stream_processor.py     | 25 +++++++++++++------
 1 file changed, 18 insertions(+), 7 deletions(-)

diff --git a/api/core/workflow/nodes/answer/base_stream_processor.py b/api/core/workflow/nodes/answer/base_stream_processor.py
index f22ea078fb..4759356ae1 100644
--- a/api/core/workflow/nodes/answer/base_stream_processor.py
+++ b/api/core/workflow/nodes/answer/base_stream_processor.py
@@ -1,6 +1,7 @@
 import logging
 from abc import ABC, abstractmethod
 from collections.abc import Generator
+from typing import Optional
 
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine.entities.event import GraphEngineEvent, NodeRunExceptionEvent, NodeRunSucceededEvent
@@ -48,25 +49,35 @@ class StreamProcessor(ABC):
                     # we remove the node maybe shortcut the answer node, so comment this code for now
                     # there is not effect on the answer node and the workflow, when we have a better solution
                     # we can open this code. Issues: #11542 #9560 #10638 #10564
-                    ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
-                    if "answer" in ids:
-                        continue
-                    else:
-                        reachable_node_ids.extend(ids)
+                    # ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
+                    # if "answer" in ids:
+                    #     continue
+                    # else:
+                    #     reachable_node_ids.extend(ids)
+
+                    # The branch_identify parameter is added to ensure that
+                    # only nodes in the correct logical branch are included.
+                    ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id, run_result.edge_source_handle)
+                    reachable_node_ids.extend(ids)
                 else:
                     unreachable_first_node_ids.append(edge.target_node_id)
 
             for node_id in unreachable_first_node_ids:
                 self._remove_node_ids_in_unreachable_branch(node_id, reachable_node_ids)
 
-    def _fetch_node_ids_in_reachable_branch(self, node_id: str) -> list[str]:
+    def _fetch_node_ids_in_reachable_branch(self, node_id: str, branch_identify: Optional[str] = None) -> list[str]:
         node_ids = []
         for edge in self.graph.edge_mapping.get(node_id, []):
             if edge.target_node_id == self.graph.root_node_id:
                 continue
 
+            # Only follow edges that match the branch_identify or have no run_condition
+            if edge.run_condition and edge.run_condition.branch_identify:
+                if not branch_identify or edge.run_condition.branch_identify != branch_identify:
+                    continue
+
             node_ids.append(edge.target_node_id)
-            node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id))
+            node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id, branch_identify))
         return node_ids
 
     def _remove_node_ids_in_unreachable_branch(self, node_id: str, reachable_node_ids: list[str]) -> None:

From 9a6b1dc3a1ea50e7b053f6b5f5a8d0021bedddcb Mon Sep 17 00:00:00 2001
From: Jyong <76649700+JohnJyong@users.noreply.github.com>
Date: Mon, 13 Jan 2025 15:17:43 +0800
Subject: [PATCH 020/217] Revert "Feat/new saas billing" (#12673)

---
 api/controllers/console/datasets/datasets.py  | 10 +-----
 .../console/datasets/datasets_document.py     | 10 ------
 .../console/datasets/datasets_segments.py     | 11 -------
 .../console/datasets/hit_testing.py           |  7 +---
 api/controllers/console/wraps.py              | 33 +------------------
 api/controllers/service_api/wraps.py          | 31 -----------------
 .../knowledge_retrieval_node.py               | 20 -----------
 api/services/billing_service.py               |  8 -----
 api/services/feature_service.py               | 17 ----------
 9 files changed, 3 insertions(+), 144 deletions(-)

diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 45c38dba3e..386e45c58e 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -10,12 +10,7 @@ from controllers.console import api
 from controllers.console.apikey import api_key_fields, api_key_list
 from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError, IndexingEstimateError
-from controllers.console.wraps import (
-    account_initialization_required,
-    cloud_edition_billing_rate_limit_check,
-    enterprise_license_required,
-    setup_required,
-)
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
@@ -98,7 +93,6 @@ class DatasetListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument(
@@ -213,7 +207,6 @@ class DatasetApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id):
         dataset_id_str = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id_str)
@@ -317,7 +310,6 @@ class DatasetApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id):
         dataset_id_str = str(dataset_id)
 
diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py
index c625b640a7..c11beaeee1 100644
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -27,7 +27,6 @@ from controllers.console.datasets.error import (
 )
 from controllers.console.wraps import (
     account_initialization_required,
-    cloud_edition_billing_rate_limit_check,
     cloud_edition_billing_resource_check,
     setup_required,
 )
@@ -231,7 +230,6 @@ class DatasetDocumentListApi(Resource):
     @account_initialization_required
     @marshal_with(documents_and_batch_fields)
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         dataset_id = str(dataset_id)
 
@@ -287,7 +285,6 @@ class DatasetDocumentListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -311,7 +308,6 @@ class DatasetInitApi(Resource):
     @account_initialization_required
     @marshal_with(dataset_and_document_fields)
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
         # The role of the current user in the ta table must be admin, owner, or editor
         if not current_user.is_editor:
@@ -684,7 +680,6 @@ class DocumentProcessingApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
@@ -721,7 +716,6 @@ class DocumentDeleteApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
@@ -790,7 +784,6 @@ class DocumentStatusApi(DocumentResource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -886,7 +879,6 @@ class DocumentPauseApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id):
         """pause document."""
         dataset_id = str(dataset_id)
@@ -919,7 +911,6 @@ class DocumentRecoverApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id):
         """recover document."""
         dataset_id = str(dataset_id)
@@ -949,7 +940,6 @@ class DocumentRetryApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         """retry document."""
 
diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py
index 2dd86a1b32..d48dbe1772 100644
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -19,7 +19,6 @@ from controllers.console.datasets.error import (
 from controllers.console.wraps import (
     account_initialization_required,
     cloud_edition_billing_knowledge_limit_check,
-    cloud_edition_billing_rate_limit_check,
     cloud_edition_billing_resource_check,
     setup_required,
 )
@@ -107,7 +106,6 @@ class DatasetDocumentSegmentListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -139,7 +137,6 @@ class DatasetDocumentSegmentApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
@@ -195,7 +192,6 @@ class DatasetDocumentSegmentAddApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -246,7 +242,6 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -307,7 +302,6 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -345,7 +339,6 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -412,7 +405,6 @@ class ChildChunkAddApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -511,7 +503,6 @@ class ChildChunkAddApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -555,7 +546,6 @@ class ChildChunkUpdateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def delete(self, dataset_id, document_id, segment_id, child_chunk_id):
         # check dataset
         dataset_id = str(dataset_id)
@@ -600,7 +590,6 @@ class ChildChunkUpdateApi(Resource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def patch(self, dataset_id, document_id, segment_id, child_chunk_id):
         # check dataset
         dataset_id = str(dataset_id)
diff --git a/api/controllers/console/datasets/hit_testing.py b/api/controllers/console/datasets/hit_testing.py
index d344e9d126..18b746f547 100644
--- a/api/controllers/console/datasets/hit_testing.py
+++ b/api/controllers/console/datasets/hit_testing.py
@@ -2,11 +2,7 @@ from flask_restful import Resource  # type: ignore
 
 from controllers.console import api
 from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase
-from controllers.console.wraps import (
-    account_initialization_required,
-    cloud_edition_billing_rate_limit_check,
-    setup_required,
-)
+from controllers.console.wraps import account_initialization_required, setup_required
 from libs.login import login_required
 
 
@@ -14,7 +10,6 @@ class HitTestingApi(Resource, DatasetsHitTestingBase):
     @setup_required
     @login_required
     @account_initialization_required
-    @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self, dataset_id):
         dataset_id_str = str(dataset_id)
 
diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py
index e92c0ae952..111db7ccf2 100644
--- a/api/controllers/console/wraps.py
+++ b/api/controllers/console/wraps.py
@@ -1,6 +1,5 @@
 import json
 import os
-import time
 from functools import wraps
 
 from flask import abort, request
@@ -8,7 +7,6 @@ from flask_login import current_user  # type: ignore
 
 from configs import dify_config
 from controllers.console.workspace.error import AccountNotInitializedError
-from extensions.ext_redis import redis_client
 from models.model import DifySetup
 from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService
@@ -68,9 +66,7 @@ def cloud_edition_billing_resource_check(resource: str):
                 elif resource == "apps" and 0 < apps.limit <= apps.size:
                     abort(403, "The number of apps has reached the limit of your subscription.")
                 elif resource == "vector_space" and 0 < vector_space.limit <= vector_space.size:
-                    abort(
-                        403, "The capacity of the knowledge storage space has reached the limit of your subscription."
-                    )
+                    abort(403, "The capacity of the vector space has reached the limit of your subscription.")
                 elif resource == "documents" and 0 < documents_upload_quota.limit <= documents_upload_quota.size:
                     # The api of file upload is used in the multiple places,
                     # so we need to check the source of the request from datasets
@@ -115,33 +111,6 @@ def cloud_edition_billing_knowledge_limit_check(resource: str):
     return interceptor
 
 
-def cloud_edition_billing_rate_limit_check(resource: str):
-    def interceptor(view):
-        @wraps(view)
-        def decorated(*args, **kwargs):
-            if resource == "knowledge":
-                knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(current_user.current_tenant_id)
-                if knowledge_rate_limit.enabled:
-                    current_time = int(time.time() * 1000)
-                    key = f"rate_limit_{current_user.current_tenant_id}"
-
-                    redis_client.zadd(key, {current_time: current_time})
-
-                    redis_client.zremrangebyscore(key, 0, current_time - 60000)
-
-                    request_count = redis_client.zcard(key)
-
-                    if request_count > knowledge_rate_limit.limit:
-                        abort(
-                            403, "Sorry, you have reached the knowledge base request rate limit of your subscription."
-                        )
-            return view(*args, **kwargs)
-
-        return decorated
-
-    return interceptor
-
-
 def cloud_utm_record(view):
     @wraps(view)
     def decorated(*args, **kwargs):
diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py
index 43f718306b..fc4cce4876 100644
--- a/api/controllers/service_api/wraps.py
+++ b/api/controllers/service_api/wraps.py
@@ -1,4 +1,3 @@
-import time
 from collections.abc import Callable
 from datetime import UTC, datetime, timedelta
 from enum import Enum
@@ -14,7 +13,6 @@ from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, Unauthorized
 
 from extensions.ext_database import db
-from extensions.ext_redis import redis_client
 from libs.login import _get_user
 from models.account import Account, Tenant, TenantAccountJoin, TenantStatus
 from models.model import ApiToken, App, EndUser
@@ -141,35 +139,6 @@ def cloud_edition_billing_knowledge_limit_check(resource: str, api_token_type: s
     return interceptor
 
 
-def cloud_edition_billing_rate_limit_check(resource: str, api_token_type: str):
-    def interceptor(view):
-        @wraps(view)
-        def decorated(*args, **kwargs):
-            api_token = validate_and_get_api_token(api_token_type)
-
-            if resource == "knowledge":
-                knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(api_token.tenant_id)
-                if knowledge_rate_limit.enabled:
-                    current_time = int(time.time() * 1000)
-                    key = f"rate_limit_{api_token.tenant_id}"
-
-                    redis_client.zadd(key, {current_time: current_time})
-
-                    redis_client.zremrangebyscore(key, 0, current_time - 60000)
-
-                    request_count = redis_client.zcard(key)
-
-                    if request_count > knowledge_rate_limit.limit:
-                        raise Forbidden(
-                            "Sorry, you have reached the knowledge base request rate limit of your subscription."
-                        )
-            return view(*args, **kwargs)
-
-        return decorated
-
-    return interceptor
-
-
 def validate_dataset_token(view=None):
     def decorator(view):
         @wraps(view)
diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
index be82ad2a82..0f239af51a 100644
--- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
+++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
@@ -1,5 +1,4 @@
 import logging
-import time
 from collections.abc import Mapping, Sequence
 from typing import Any, cast
 
@@ -20,10 +19,8 @@ from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.enums import NodeType
 from extensions.ext_database import db
-from extensions.ext_redis import redis_client
 from models.dataset import Dataset, Document
 from models.workflow import WorkflowNodeExecutionStatus
-from services.feature_service import FeatureService
 
 from .entities import KnowledgeRetrievalNodeData
 from .exc import (
@@ -64,23 +61,6 @@ class KnowledgeRetrievalNode(BaseNode[KnowledgeRetrievalNodeData]):
             return NodeRunResult(
                 status=WorkflowNodeExecutionStatus.FAILED, inputs=variables, error="Query is required."
             )
-        # check rate limit
-        if self.tenant_id:
-            knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(self.tenant_id)
-            if knowledge_rate_limit.enabled:
-                current_time = int(time.time() * 1000)
-                key = f"rate_limit_{self.tenant_id}"
-                redis_client.zadd(key, {current_time: current_time})
-                redis_client.zremrangebyscore(key, 0, current_time - 60000)
-                request_count = redis_client.zcard(key)
-                if request_count > knowledge_rate_limit.limit:
-                    return NodeRunResult(
-                        status=WorkflowNodeExecutionStatus.FAILED,
-                        inputs=variables,
-                        error="Sorry, you have reached the knowledge base request rate limit of your subscription.",
-                        error_type="RateLimitExceeded",
-                    )
-
         # retrieve knowledge
         try:
             results = self._fetch_dataset_retriever(node_data=self.node_data, query=query)
diff --git a/api/services/billing_service.py b/api/services/billing_service.py
index 9d9dd8a368..0d50a2aa8c 100644
--- a/api/services/billing_service.py
+++ b/api/services/billing_service.py
@@ -19,14 +19,6 @@ class BillingService:
         billing_info = cls._send_request("GET", "/subscription/info", params=params)
         return billing_info
 
-    @classmethod
-    def get_knowledge_rate_limit(cls, tenant_id: str):
-        params = {"tenant_id": tenant_id}
-
-        knowledge_rate_limit = cls._send_request("GET", "/subscription/knowledge-rate-limit", params=params)
-
-        return knowledge_rate_limit.get("limit", 10)
-
     @classmethod
     def get_subscription(cls, plan: str, interval: str, prefilled_email: str = "", tenant_id: str = ""):
         params = {"plan": plan, "interval": interval, "prefilled_email": prefilled_email, "tenant_id": tenant_id}
diff --git a/api/services/feature_service.py b/api/services/feature_service.py
index 52cfe4f2cb..b9261d19d7 100644
--- a/api/services/feature_service.py
+++ b/api/services/feature_service.py
@@ -41,7 +41,6 @@ class FeatureModel(BaseModel):
     members: LimitationModel = LimitationModel(size=0, limit=1)
     apps: LimitationModel = LimitationModel(size=0, limit=10)
     vector_space: LimitationModel = LimitationModel(size=0, limit=5)
-    knowledge_rate_limit: int = 10
     annotation_quota_limit: LimitationModel = LimitationModel(size=0, limit=10)
     documents_upload_quota: LimitationModel = LimitationModel(size=0, limit=50)
     docs_processing: str = "standard"
@@ -53,11 +52,6 @@ class FeatureModel(BaseModel):
     model_config = ConfigDict(protected_namespaces=())
 
 
-class KnowledgeRateLimitModel(BaseModel):
-    enabled: bool = False
-    limit: int = 10
-
-
 class SystemFeatureModel(BaseModel):
     sso_enforced_for_signin: bool = False
     sso_enforced_for_signin_protocol: str = ""
@@ -85,14 +79,6 @@ class FeatureService:
 
         return features
 
-    @classmethod
-    def get_knowledge_rate_limit(cls, tenant_id: str):
-        knowledge_rate_limit = KnowledgeRateLimitModel()
-        if dify_config.BILLING_ENABLED and tenant_id:
-            knowledge_rate_limit.enabled = True
-            knowledge_rate_limit.limit = BillingService.get_knowledge_rate_limit(tenant_id)
-        return knowledge_rate_limit
-
     @classmethod
     def get_system_features(cls) -> SystemFeatureModel:
         system_features = SystemFeatureModel()
@@ -158,9 +144,6 @@ class FeatureService:
         if "model_load_balancing_enabled" in billing_info:
             features.model_load_balancing_enabled = billing_info["model_load_balancing_enabled"]
 
-        if "knowledge_rate_limit" in billing_info:
-            features.knowledge_rate_limit = billing_info["knowledge_rate_limit"]["limit"]
-
     @classmethod
     def _fulfill_params_from_enterprise(cls, features):
         enterprise_info = EnterpriseService.get_info()

From c700364e1ccd61da79e9b03c993e9eb38348eea3 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Mon, 13 Jan 2025 15:54:26 +0800
Subject: [PATCH 021/217] fix: Update variable handling in VariableAssignerNode
 and clean up app_dsl_service (#12672)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../workflow/nodes/variable_assigner/v2/node.py  | 16 ++++++++++++----
 api/services/app_dsl_service.py                  | 11 +----------
 2 files changed, 13 insertions(+), 14 deletions(-)

diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py
index 0c4aae827c..afa5656f46 100644
--- a/api/core/workflow/nodes/variable_assigner/v2/node.py
+++ b/api/core/workflow/nodes/variable_assigner/v2/node.py
@@ -1,4 +1,5 @@
 import json
+from collections.abc import Sequence
 from typing import Any, cast
 
 from core.variables import SegmentType, Variable
@@ -31,7 +32,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
         inputs = self.node_data.model_dump()
         process_data: dict[str, Any] = {}
         # NOTE: This node has no outputs
-        updated_variables: list[Variable] = []
+        updated_variable_selectors: list[Sequence[str]] = []
 
         try:
             for item in self.node_data.items:
@@ -98,7 +99,8 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
                     value=item.value,
                 )
                 variable = variable.model_copy(update={"value": updated_value})
-                updated_variables.append(variable)
+                self.graph_runtime_state.variable_pool.add(variable.selector, variable)
+                updated_variable_selectors.append(variable.selector)
         except VariableOperatorNodeError as e:
             return NodeRunResult(
                 status=WorkflowNodeExecutionStatus.FAILED,
@@ -107,9 +109,15 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
                 error=str(e),
             )
 
+        # The `updated_variable_selectors` is a list contains list[str] which not hashable,
+        # remove the duplicated items first.
+        updated_variable_selectors = list(set(map(tuple, updated_variable_selectors)))
+
         # Update variables
-        for variable in updated_variables:
-            self.graph_runtime_state.variable_pool.add(variable.selector, variable)
+        for selector in updated_variable_selectors:
+            variable = self.graph_runtime_state.variable_pool.get(selector)
+            if not isinstance(variable, Variable):
+                raise VariableNotFoundError(variable_selector=selector)
             process_data[variable.name] = variable.value
 
             if variable.selector[0] == CONVERSATION_VARIABLE_NODE_ID:
diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py
index f81ce8393e..15119247f8 100644
--- a/api/services/app_dsl_service.py
+++ b/api/services/app_dsl_service.py
@@ -1,7 +1,7 @@
 import logging
 import uuid
 from enum import StrEnum
-from typing import Optional, cast
+from typing import Optional
 from urllib.parse import urlparse
 from uuid import uuid4
 
@@ -139,15 +139,6 @@ class AppDslService:
                         status=ImportStatus.FAILED,
                         error="Empty content from url",
                     )
-
-                try:
-                    content = cast(bytes, content).decode("utf-8")
-                except UnicodeDecodeError as e:
-                    return Import(
-                        id=import_id,
-                        status=ImportStatus.FAILED,
-                        error=f"Error decoding content: {e}",
-                    )
             except Exception as e:
                 return Import(
                     id=import_id,

From cb3499166355d4b715a2fb5092d878581f7482ee Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Mon, 13 Jan 2025 15:55:16 +0800
Subject: [PATCH 022/217] fix: add type hints for App model and improve error
 handling in audio services (#12677)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/controllers/console/app/audio.py | 8 ++++++--
 api/services/audio_service.py        | 4 +++-
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/api/controllers/console/app/audio.py b/api/controllers/console/app/audio.py
index 9d26af276d..12d9157dda 100644
--- a/api/controllers/console/app/audio.py
+++ b/api/controllers/console/app/audio.py
@@ -22,7 +22,7 @@ from controllers.console.wraps import account_initialization_required, setup_req
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from libs.login import login_required
-from models.model import AppMode
+from models import App, AppMode
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -79,7 +79,7 @@ class ChatMessageTextApi(Resource):
     @login_required
     @account_initialization_required
     @get_app_model
-    def post(self, app_model):
+    def post(self, app_model: App):
         from werkzeug.exceptions import InternalServerError
 
         try:
@@ -98,9 +98,13 @@ class ChatMessageTextApi(Resource):
                 and app_model.workflow.features_dict
             ):
                 text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
+                if text_to_speech is None:
+                    raise ValueError("TTS is not enabled")
                 voice = args.get("voice") or text_to_speech.get("voice")
             else:
                 try:
+                    if app_model.app_model_config is None:
+                        raise ValueError("AppModelConfig not found")
                     voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
                 except Exception:
                     voice = None
diff --git a/api/services/audio_service.py b/api/services/audio_service.py
index f4178a69a4..294dfe4c8c 100644
--- a/api/services/audio_service.py
+++ b/api/services/audio_service.py
@@ -82,7 +82,7 @@ class AudioService:
         from app import app
         from extensions.ext_database import db
 
-        def invoke_tts(text_content: str, app_model, voice: Optional[str] = None):
+        def invoke_tts(text_content: str, app_model: App, voice: Optional[str] = None):
             with app.app_context():
                 if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
                     workflow = app_model.workflow
@@ -95,6 +95,8 @@ class AudioService:
 
                     voice = features_dict["text_to_speech"].get("voice") if voice is None else voice
                 else:
+                    if app_model.app_model_config is None:
+                        raise ValueError("AppModelConfig not found")
                     text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
 
                     if not text_to_speech_dict.get("enabled"):

From 69d58fbb50a0aca9ed42001db19c18a716b813ac Mon Sep 17 00:00:00 2001
From: Boris Feld <lothiraldan@gmail.com>
Date: Mon, 13 Jan 2025 10:41:44 +0100
Subject: [PATCH 023/217] Add new integration with Opik Tracking tool (#11501)

---
 api/core/ops/entities/config_entity.py        |  32 ++
 api/core/ops/opik_trace/__init__.py           |   0
 api/core/ops/opik_trace/opik_trace.py         | 469 ++++++++++++++++++
 api/core/ops/ops_trace_manager.py             |   8 +
 api/poetry.lock                               | 168 ++++++-
 api/pyproject.toml                            |   1 +
 api/services/ops_service.py                   |  11 +-
 .../[appId]/overview/tracing/config-popup.tsx |  76 ++-
 .../[appId]/overview/tracing/config.ts        |   1 +
 .../[appId]/overview/tracing/panel.tsx        |  27 +-
 .../tracing/provider-config-modal.tsx         |  56 ++-
 .../overview/tracing/provider-panel.tsx       |   3 +-
 .../[appId]/overview/tracing/type.ts          |   8 +
 .../assets/public/tracing/opik-icon-big.svg   |  87 ++++
 .../icons/assets/public/tracing/opik-icon.svg |  88 ++++
 .../icons/src/public/tracing/OpikIcon.json    | 163 ++++++
 .../icons/src/public/tracing/OpikIcon.tsx     |  16 +
 .../icons/src/public/tracing/OpikIconBig.json | 162 ++++++
 .../icons/src/public/tracing/OpikIconBig.tsx  |  16 +
 .../base/icons/src/public/tracing/index.ts    |   2 +
 web/i18n/en-US/app.ts                         |   4 +
 web/i18n/zh-Hans/app.ts                       |   4 +
 web/models/app.ts                             |   4 +-
 23 files changed, 1380 insertions(+), 26 deletions(-)
 create mode 100644 api/core/ops/opik_trace/__init__.py
 create mode 100644 api/core/ops/opik_trace/opik_trace.py
 create mode 100644 web/app/components/base/icons/assets/public/tracing/opik-icon-big.svg
 create mode 100644 web/app/components/base/icons/assets/public/tracing/opik-icon.svg
 create mode 100644 web/app/components/base/icons/src/public/tracing/OpikIcon.json
 create mode 100644 web/app/components/base/icons/src/public/tracing/OpikIcon.tsx
 create mode 100644 web/app/components/base/icons/src/public/tracing/OpikIconBig.json
 create mode 100644 web/app/components/base/icons/src/public/tracing/OpikIconBig.tsx

diff --git a/api/core/ops/entities/config_entity.py b/api/core/ops/entities/config_entity.py
index ef0f9c708f..b484242b61 100644
--- a/api/core/ops/entities/config_entity.py
+++ b/api/core/ops/entities/config_entity.py
@@ -6,6 +6,7 @@ from pydantic import BaseModel, ValidationInfo, field_validator
 class TracingProviderEnum(Enum):
     LANGFUSE = "langfuse"
     LANGSMITH = "langsmith"
+    OPIK = "opik"
 
 
 class BaseTracingConfig(BaseModel):
@@ -56,5 +57,36 @@ class LangSmithConfig(BaseTracingConfig):
         return v
 
 
+class OpikConfig(BaseTracingConfig):
+    """
+    Model class for Opik tracing config.
+    """
+
+    api_key: str | None = None
+    project: str | None = None
+    workspace: str | None = None
+    url: str = "https://www.comet.com/opik/api/"
+
+    @field_validator("project")
+    @classmethod
+    def project_validator(cls, v, info: ValidationInfo):
+        if v is None or v == "":
+            v = "Default Project"
+
+        return v
+
+    @field_validator("url")
+    @classmethod
+    def url_validator(cls, v, info: ValidationInfo):
+        if v is None or v == "":
+            v = "https://www.comet.com/opik/api/"
+        if not v.startswith(("https://", "http://")):
+            raise ValueError("url must start with https:// or http://")
+        if not v.endswith("/api/"):
+            raise ValueError("url should ends with /api/")
+
+        return v
+
+
 OPS_FILE_PATH = "ops_trace/"
 OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"
diff --git a/api/core/ops/opik_trace/__init__.py b/api/core/ops/opik_trace/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/api/core/ops/opik_trace/opik_trace.py b/api/core/ops/opik_trace/opik_trace.py
new file mode 100644
index 0000000000..fabf38fbd6
--- /dev/null
+++ b/api/core/ops/opik_trace/opik_trace.py
@@ -0,0 +1,469 @@
+import json
+import logging
+import os
+import uuid
+from datetime import datetime, timedelta
+from typing import Optional, cast
+
+from opik import Opik, Trace
+from opik.id_helpers import uuid4_to_uuid7
+
+from core.ops.base_trace_instance import BaseTraceInstance
+from core.ops.entities.config_entity import OpikConfig
+from core.ops.entities.trace_entity import (
+    BaseTraceInfo,
+    DatasetRetrievalTraceInfo,
+    GenerateNameTraceInfo,
+    MessageTraceInfo,
+    ModerationTraceInfo,
+    SuggestedQuestionTraceInfo,
+    ToolTraceInfo,
+    TraceTaskName,
+    WorkflowTraceInfo,
+)
+from extensions.ext_database import db
+from models.model import EndUser, MessageFile
+from models.workflow import WorkflowNodeExecution
+
+logger = logging.getLogger(__name__)
+
+
+def wrap_dict(key_name, data):
+    """Make sure that the input data is a dict"""
+    if not isinstance(data, dict):
+        return {key_name: data}
+
+    return data
+
+
+def wrap_metadata(metadata, **kwargs):
+    """Add common metatada to all Traces and Spans"""
+    metadata["created_from"] = "dify"
+
+    metadata.update(kwargs)
+
+    return metadata
+
+
+def prepare_opik_uuid(user_datetime: Optional[datetime], user_uuid: Optional[str]):
+    """Opik needs UUIDv7 while Dify uses UUIDv4 for identifier of most
+    messages and objects. The type-hints of BaseTraceInfo indicates that
+    objects start_time and message_id could be null which means we cannot map
+    it to a UUIDv7. Given that we have no way to identify that object
+    uniquely, generate a new random one UUIDv7 in that case.
+    """
+
+    if user_datetime is None:
+        user_datetime = datetime.now()
+
+    if user_uuid is None:
+        user_uuid = str(uuid.uuid4())
+
+    return uuid4_to_uuid7(user_datetime, user_uuid)
+
+
+class OpikDataTrace(BaseTraceInstance):
+    def __init__(
+        self,
+        opik_config: OpikConfig,
+    ):
+        super().__init__(opik_config)
+        self.opik_client = Opik(
+            project_name=opik_config.project,
+            workspace=opik_config.workspace,
+            host=opik_config.url,
+            api_key=opik_config.api_key,
+        )
+        self.project = opik_config.project
+        self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001")
+
+    def trace(self, trace_info: BaseTraceInfo):
+        if isinstance(trace_info, WorkflowTraceInfo):
+            self.workflow_trace(trace_info)
+        if isinstance(trace_info, MessageTraceInfo):
+            self.message_trace(trace_info)
+        if isinstance(trace_info, ModerationTraceInfo):
+            self.moderation_trace(trace_info)
+        if isinstance(trace_info, SuggestedQuestionTraceInfo):
+            self.suggested_question_trace(trace_info)
+        if isinstance(trace_info, DatasetRetrievalTraceInfo):
+            self.dataset_retrieval_trace(trace_info)
+        if isinstance(trace_info, ToolTraceInfo):
+            self.tool_trace(trace_info)
+        if isinstance(trace_info, GenerateNameTraceInfo):
+            self.generate_name_trace(trace_info)
+
+    def workflow_trace(self, trace_info: WorkflowTraceInfo):
+        dify_trace_id = trace_info.workflow_run_id
+        opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
+        workflow_metadata = wrap_metadata(
+            trace_info.metadata, message_id=trace_info.message_id, workflow_app_log_id=trace_info.workflow_app_log_id
+        )
+        root_span_id = None
+
+        if trace_info.message_id:
+            dify_trace_id = trace_info.message_id
+            opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
+
+            trace_data = {
+                "id": opik_trace_id,
+                "name": TraceTaskName.MESSAGE_TRACE.value,
+                "start_time": trace_info.start_time,
+                "end_time": trace_info.end_time,
+                "metadata": workflow_metadata,
+                "input": wrap_dict("input", trace_info.workflow_run_inputs),
+                "output": wrap_dict("output", trace_info.workflow_run_outputs),
+                "tags": ["message", "workflow"],
+                "project_name": self.project,
+            }
+            self.add_trace(trace_data)
+
+            root_span_id = prepare_opik_uuid(trace_info.start_time, trace_info.workflow_run_id)
+            span_data = {
+                "id": root_span_id,
+                "parent_span_id": None,
+                "trace_id": opik_trace_id,
+                "name": TraceTaskName.WORKFLOW_TRACE.value,
+                "input": wrap_dict("input", trace_info.workflow_run_inputs),
+                "output": wrap_dict("output", trace_info.workflow_run_outputs),
+                "start_time": trace_info.start_time,
+                "end_time": trace_info.end_time,
+                "metadata": workflow_metadata,
+                "tags": ["workflow"],
+                "project_name": self.project,
+            }
+            self.add_span(span_data)
+        else:
+            trace_data = {
+                "id": opik_trace_id,
+                "name": TraceTaskName.MESSAGE_TRACE.value,
+                "start_time": trace_info.start_time,
+                "end_time": trace_info.end_time,
+                "metadata": workflow_metadata,
+                "input": wrap_dict("input", trace_info.workflow_run_inputs),
+                "output": wrap_dict("output", trace_info.workflow_run_outputs),
+                "tags": ["workflow"],
+                "project_name": self.project,
+            }
+            self.add_trace(trace_data)
+
+        # through workflow_run_id get all_nodes_execution
+        workflow_nodes_execution_id_records = (
+            db.session.query(WorkflowNodeExecution.id)
+            .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id)
+            .all()
+        )
+
+        for node_execution_id_record in workflow_nodes_execution_id_records:
+            node_execution = (
+                db.session.query(
+                    WorkflowNodeExecution.id,
+                    WorkflowNodeExecution.tenant_id,
+                    WorkflowNodeExecution.app_id,
+                    WorkflowNodeExecution.title,
+                    WorkflowNodeExecution.node_type,
+                    WorkflowNodeExecution.status,
+                    WorkflowNodeExecution.inputs,
+                    WorkflowNodeExecution.outputs,
+                    WorkflowNodeExecution.created_at,
+                    WorkflowNodeExecution.elapsed_time,
+                    WorkflowNodeExecution.process_data,
+                    WorkflowNodeExecution.execution_metadata,
+                )
+                .filter(WorkflowNodeExecution.id == node_execution_id_record.id)
+                .first()
+            )
+
+            if not node_execution:
+                continue
+
+            node_execution_id = node_execution.id
+            tenant_id = node_execution.tenant_id
+            app_id = node_execution.app_id
+            node_name = node_execution.title
+            node_type = node_execution.node_type
+            status = node_execution.status
+            if node_type == "llm":
+                inputs = (
+                    json.loads(node_execution.process_data).get("prompts", {}) if node_execution.process_data else {}
+                )
+            else:
+                inputs = json.loads(node_execution.inputs) if node_execution.inputs else {}
+            outputs = json.loads(node_execution.outputs) if node_execution.outputs else {}
+            created_at = node_execution.created_at or datetime.now()
+            elapsed_time = node_execution.elapsed_time
+            finished_at = created_at + timedelta(seconds=elapsed_time)
+
+            execution_metadata = (
+                json.loads(node_execution.execution_metadata) if node_execution.execution_metadata else {}
+            )
+            metadata = execution_metadata.copy()
+            metadata.update(
+                {
+                    "workflow_run_id": trace_info.workflow_run_id,
+                    "node_execution_id": node_execution_id,
+                    "tenant_id": tenant_id,
+                    "app_id": app_id,
+                    "app_name": node_name,
+                    "node_type": node_type,
+                    "status": status,
+                }
+            )
+
+            process_data = json.loads(node_execution.process_data) if node_execution.process_data else {}
+
+            provider = None
+            model = None
+            total_tokens = 0
+            completion_tokens = 0
+            prompt_tokens = 0
+
+            if process_data and process_data.get("model_mode") == "chat":
+                run_type = "llm"
+                provider = process_data.get("model_provider", None)
+                model = process_data.get("model_name", "")
+                metadata.update(
+                    {
+                        "ls_provider": provider,
+                        "ls_model_name": model,
+                    }
+                )
+
+                try:
+                    if outputs.get("usage"):
+                        total_tokens = outputs["usage"].get("total_tokens", 0)
+                        prompt_tokens = outputs["usage"].get("prompt_tokens", 0)
+                        completion_tokens = outputs["usage"].get("completion_tokens", 0)
+                except Exception:
+                    logger.error("Failed to extract usage", exc_info=True)
+
+            else:
+                run_type = "tool"
+
+            parent_span_id = trace_info.workflow_app_log_id or trace_info.workflow_run_id
+
+            if not total_tokens:
+                total_tokens = execution_metadata.get("total_tokens", 0)
+
+            span_data = {
+                "trace_id": opik_trace_id,
+                "id": prepare_opik_uuid(created_at, node_execution_id),
+                "parent_span_id": prepare_opik_uuid(trace_info.start_time, parent_span_id),
+                "name": node_type,
+                "type": run_type,
+                "start_time": created_at,
+                "end_time": finished_at,
+                "metadata": wrap_metadata(metadata),
+                "input": wrap_dict("input", inputs),
+                "output": wrap_dict("output", outputs),
+                "tags": ["node_execution"],
+                "project_name": self.project,
+                "usage": {
+                    "total_tokens": total_tokens,
+                    "completion_tokens": completion_tokens,
+                    "prompt_tokens": prompt_tokens,
+                },
+                "model": model,
+                "provider": provider,
+            }
+
+            self.add_span(span_data)
+
+    def message_trace(self, trace_info: MessageTraceInfo):
+        # get message file data
+        file_list = cast(list[str], trace_info.file_list) or []
+        message_file_data: Optional[MessageFile] = trace_info.message_file_data
+
+        if message_file_data is not None:
+            file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else ""
+            file_list.append(file_url)
+
+        message_data = trace_info.message_data
+        if message_data is None:
+            return
+
+        metadata = trace_info.metadata
+        message_id = trace_info.message_id
+
+        user_id = message_data.from_account_id
+        metadata["user_id"] = user_id
+        metadata["file_list"] = file_list
+
+        if message_data.from_end_user_id:
+            end_user_data: Optional[EndUser] = (
+                db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first()
+            )
+            if end_user_data is not None:
+                end_user_id = end_user_data.session_id
+                metadata["end_user_id"] = end_user_id
+
+        trace_data = {
+            "id": prepare_opik_uuid(trace_info.start_time, message_id),
+            "name": TraceTaskName.MESSAGE_TRACE.value,
+            "start_time": trace_info.start_time,
+            "end_time": trace_info.end_time,
+            "metadata": wrap_metadata(metadata),
+            "input": trace_info.inputs,
+            "output": message_data.answer,
+            "tags": ["message", str(trace_info.conversation_mode)],
+            "project_name": self.project,
+        }
+        trace = self.add_trace(trace_data)
+
+        span_data = {
+            "trace_id": trace.id,
+            "name": "llm",
+            "type": "llm",
+            "start_time": trace_info.start_time,
+            "end_time": trace_info.end_time,
+            "metadata": wrap_metadata(metadata),
+            "input": {"input": trace_info.inputs},
+            "output": {"output": message_data.answer},
+            "tags": ["llm", str(trace_info.conversation_mode)],
+            "usage": {
+                "completion_tokens": trace_info.answer_tokens,
+                "prompt_tokens": trace_info.message_tokens,
+                "total_tokens": trace_info.total_tokens,
+            },
+            "project_name": self.project,
+        }
+        self.add_span(span_data)
+
+    def moderation_trace(self, trace_info: ModerationTraceInfo):
+        if trace_info.message_data is None:
+            return
+
+        start_time = trace_info.start_time or trace_info.message_data.created_at
+
+        span_data = {
+            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
+            "name": TraceTaskName.MODERATION_TRACE.value,
+            "type": "tool",
+            "start_time": start_time,
+            "end_time": trace_info.end_time or trace_info.message_data.updated_at,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": wrap_dict("input", trace_info.inputs),
+            "output": {
+                "action": trace_info.action,
+                "flagged": trace_info.flagged,
+                "preset_response": trace_info.preset_response,
+                "inputs": trace_info.inputs,
+            },
+            "tags": ["moderation"],
+        }
+
+        self.add_span(span_data)
+
+    def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo):
+        message_data = trace_info.message_data
+        if message_data is None:
+            return
+
+        start_time = trace_info.start_time or message_data.created_at
+
+        span_data = {
+            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
+            "name": TraceTaskName.SUGGESTED_QUESTION_TRACE.value,
+            "type": "tool",
+            "start_time": start_time,
+            "end_time": trace_info.end_time or message_data.updated_at,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": wrap_dict("input", trace_info.inputs),
+            "output": wrap_dict("output", trace_info.suggested_question),
+            "tags": ["suggested_question"],
+        }
+
+        self.add_span(span_data)
+
+    def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo):
+        if trace_info.message_data is None:
+            return
+
+        start_time = trace_info.start_time or trace_info.message_data.created_at
+
+        span_data = {
+            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
+            "name": TraceTaskName.DATASET_RETRIEVAL_TRACE.value,
+            "type": "tool",
+            "start_time": start_time,
+            "end_time": trace_info.end_time or trace_info.message_data.updated_at,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": wrap_dict("input", trace_info.inputs),
+            "output": {"documents": trace_info.documents},
+            "tags": ["dataset_retrieval"],
+        }
+
+        self.add_span(span_data)
+
+    def tool_trace(self, trace_info: ToolTraceInfo):
+        span_data = {
+            "trace_id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
+            "name": trace_info.tool_name,
+            "type": "tool",
+            "start_time": trace_info.start_time,
+            "end_time": trace_info.end_time,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": wrap_dict("input", trace_info.tool_inputs),
+            "output": wrap_dict("output", trace_info.tool_outputs),
+            "tags": ["tool", trace_info.tool_name],
+        }
+
+        self.add_span(span_data)
+
+    def generate_name_trace(self, trace_info: GenerateNameTraceInfo):
+        trace_data = {
+            "id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
+            "name": TraceTaskName.GENERATE_NAME_TRACE.value,
+            "start_time": trace_info.start_time,
+            "end_time": trace_info.end_time,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": trace_info.inputs,
+            "output": trace_info.outputs,
+            "tags": ["generate_name"],
+            "project_name": self.project,
+        }
+
+        trace = self.add_trace(trace_data)
+
+        span_data = {
+            "trace_id": trace.id,
+            "name": TraceTaskName.GENERATE_NAME_TRACE.value,
+            "start_time": trace_info.start_time,
+            "end_time": trace_info.end_time,
+            "metadata": wrap_metadata(trace_info.metadata),
+            "input": wrap_dict("input", trace_info.inputs),
+            "output": wrap_dict("output", trace_info.outputs),
+            "tags": ["generate_name"],
+        }
+
+        self.add_span(span_data)
+
+    def add_trace(self, opik_trace_data: dict) -> Trace:
+        try:
+            trace = self.opik_client.trace(**opik_trace_data)
+            logger.debug("Opik Trace created successfully")
+            return trace
+        except Exception as e:
+            raise ValueError(f"Opik Failed to create trace: {str(e)}")
+
+    def add_span(self, opik_span_data: dict):
+        try:
+            self.opik_client.span(**opik_span_data)
+            logger.debug("Opik Span created successfully")
+        except Exception as e:
+            raise ValueError(f"Opik Failed to create span: {str(e)}")
+
+    def api_check(self):
+        try:
+            self.opik_client.auth_check()
+            return True
+        except Exception as e:
+            logger.info(f"Opik API check failed: {str(e)}", exc_info=True)
+            raise ValueError(f"Opik API check failed: {str(e)}")
+
+    def get_project_url(self):
+        try:
+            return self.opik_client.get_project_url(project_name=self.project)
+        except Exception as e:
+            logger.info(f"Opik get run url failed: {str(e)}", exc_info=True)
+            raise ValueError(f"Opik get run url failed: {str(e)}")
diff --git a/api/core/ops/ops_trace_manager.py b/api/core/ops/ops_trace_manager.py
index 691cb8d400..c153e3f9dd 100644
--- a/api/core/ops/ops_trace_manager.py
+++ b/api/core/ops/ops_trace_manager.py
@@ -17,6 +17,7 @@ from core.ops.entities.config_entity import (
     OPS_FILE_PATH,
     LangfuseConfig,
     LangSmithConfig,
+    OpikConfig,
     TracingProviderEnum,
 )
 from core.ops.entities.trace_entity import (
@@ -32,6 +33,7 @@ from core.ops.entities.trace_entity import (
 )
 from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
 from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
+from core.ops.opik_trace.opik_trace import OpikDataTrace
 from core.ops.utils import get_message_data
 from extensions.ext_database import db
 from extensions.ext_storage import storage
@@ -52,6 +54,12 @@ provider_config_map: dict[str, dict[str, Any]] = {
         "other_keys": ["project", "endpoint"],
         "trace_instance": LangSmithDataTrace,
     },
+    TracingProviderEnum.OPIK.value: {
+        "config_class": OpikConfig,
+        "secret_keys": ["api_key"],
+        "other_keys": ["project", "url", "workspace"],
+        "trace_instance": OpikDataTrace,
+    },
 }
 
 
diff --git a/api/poetry.lock b/api/poetry.lock
index fe80545e7c..7feb942a7f 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -4693,6 +4693,134 @@ requests-toolbelt = ">=1.0.0,<2.0.0"
 [package.extras]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
 
+[[package]]
+name = "levenshtein"
+version = "0.26.1"
+description = "Python extension for computing string edit distances and similarities."
+optional = false
+python-versions = ">=3.9"
+files = [
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+    {file = "levenshtein-0.26.1-cp39-cp39-win_arm64.whl", hash = "sha256:c1d8f85b2672939f85086ed75effcf768f6077516a3e299c2ba1f91bc4644c22"},
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+    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b952b3732c4631c49917d4b15d78cb4a2aa006c1d5c12e2a23ba8e18a307a055"},
+    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07227281e12071168e6ae59238918a56d2a0682e529f747b5431664f302c0b42"},
+    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8191241cd8934feaf4d05d0cc0e5e72877cbb17c53bbf8c92af9f1aedaa247e9"},
+    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9e70d7ee157a9b698c73014f6e2b160830e7d2d64d2e342fefc3079af3c356fc"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0eb3059f826f6cb0a5bca4a85928070f01e8202e7ccafcba94453470f83e49d4"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:6c389e44da12d6fb1d7ba0a709a32a96c9391e9be4160ccb9269f37e040599ee"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e9de292f2c51a7d34a0ae23bec05391b8f61f35781cd3e4c6d0533e06250c55"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d87215113259efdca8716e53b6d59ab6d6009e119d95d45eccc083148855f33"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18f00a3eebf68a82fb651d8d0e810c10bfaa60c555d21dde3ff81350c74fb4c2"},
+    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b3554c1b59de63d05075577380340c185ff41b028e541c0888fddab3c259a2b4"},
+    {file = "levenshtein-0.26.1.tar.gz", hash = "sha256:0d19ba22330d50609b2349021ec3cf7d905c6fe21195a2d0d876a146e7ed2575"},
+]
+
+[package.dependencies]
+rapidfuzz = ">=3.9.0,<4.0.0"
+
+[[package]]
+name = "litellm"
+version = "1.51.3"
+description = "Library to easily interface with LLM API providers"
+optional = false
+python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+files = [
+    {file = "litellm-1.51.3-py3-none-any.whl", hash = "sha256:440d3c7cc5ab8eeb12cee8f4d806bff05b7db834ebc11117d7fa070a1142ced5"},
+    {file = "litellm-1.51.3.tar.gz", hash = "sha256:31eff9fcbf7b058bac0fd7432c4ea0487e8555f12446a1f30e5862e33716f44d"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+click = "*"
+importlib-metadata = ">=6.8.0"
+jinja2 = ">=3.1.2,<4.0.0"
+jsonschema = ">=4.22.0,<5.0.0"
+openai = ">=1.52.0"
+pydantic = ">=2.0.0,<3.0.0"
+python-dotenv = ">=0.2.0"
+requests = ">=2.31.0,<3.0.0"
+tiktoken = ">=0.7.0"
+tokenizers = "*"
+
+[package.extras]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
+
 [[package]]
 name = "llvmlite"
 version = "0.43.0"
@@ -6265,6 +6393,31 @@ files = [
     {file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
 ]
 
+[[package]]
+name = "opik"
+version = "1.3.4"
+description = "Comet tool for logging and evaluating LLM traces"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opik-1.3.4-py3-none-any.whl", hash = "sha256:c5e10a9f1fb18188471cce2ae8b841e8b187d04ee3b1aed01c643102bae588fb"},
+    {file = "opik-1.3.4.tar.gz", hash = "sha256:6013d3af4aea61f38b9e7121aa5d8cf4305a5ed3807b3f43d9ab91602b2a5785"},
+]
+
+[package.dependencies]
+click = "*"
+httpx = "<0.28.0"
+levenshtein = "<1.0.0"
+litellm = "*"
+openai = "<2.0.0"
+pydantic = ">=2.0.0,<3.0.0"
+pydantic-settings = ">=2.0.0,<3.0.0"
+pytest = "*"
+rich = "*"
+tenacity = "*"
+tqdm = "*"
+uuid6 = "*"
+
 [[package]]
 name = "oracledb"
 version = "2.2.1"
@@ -10230,6 +10383,17 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uuid6"
+version = "2024.7.10"
+description = "New time-based UUID formats which are suited for use as a database key"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "uuid6-2024.7.10-py3-none-any.whl", hash = "sha256:93432c00ba403751f722829ad21759ff9db051dea140bf81493271e8e4dd18b7"},
+    {file = "uuid6-2024.7.10.tar.gz", hash = "sha256:2d29d7f63f593caaeea0e0d0dd0ad8129c9c663b29e19bdf882e864bedf18fb0"},
+]
+
 [[package]]
 name = "uvicorn"
 version = "0.34.0"
@@ -11220,4 +11384,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "907718f7ca775ad226c1f668f4bb6c6dbfa6cacc556fce43a8ad0b6f3c35095a"
+content-hash = "3bb0ce64c87712cf105c75105a0ca75c0523d6b27001ff6a623bb2a0d1343003"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index f8c6f599d1..6e2ba4cdb4 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -59,6 +59,7 @@ numpy = "~1.26.4"
 oci = "~2.135.1"
 openai = "~1.52.0"
 openpyxl = "~3.1.5"
+opik = "~1.3.4"
 pandas = { version = "~2.2.2", extras = ["performance", "excel"] }
 pandas-stubs = "~2.2.3.241009"
 psycogreen = "~1.0.2"
diff --git a/api/services/ops_service.py b/api/services/ops_service.py
index fc1e08518b..78340d2bcc 100644
--- a/api/services/ops_service.py
+++ b/api/services/ops_service.py
@@ -59,6 +59,15 @@ class OpsService:
             except Exception:
                 new_decrypt_tracing_config.update({"project_url": "https://smith.langchain.com/"})
 
+        if tracing_provider == "opik" and (
+            "project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url")
+        ):
+            try:
+                project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider)
+                new_decrypt_tracing_config.update({"project_url": project_url})
+            except Exception:
+                new_decrypt_tracing_config.update({"project_url": "https://www.comet.com/opik/"})
+
         trace_config_data.tracing_config = new_decrypt_tracing_config
         return trace_config_data.to_dict()
 
@@ -92,7 +101,7 @@ class OpsService:
         if tracing_provider == "langfuse":
             project_key = OpsTraceManager.get_trace_config_project_key(tracing_config, tracing_provider)
             project_url = "{host}/project/{key}".format(host=tracing_config.get("host"), key=project_key)
-        elif tracing_provider == "langsmith":
+        elif tracing_provider in ("langsmith", "opik"):
             project_url = OpsTraceManager.get_trace_config_project_url(tracing_config, tracing_provider)
         else:
             project_url = None
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
index 8e3d8f9ec6..17f46c258d 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
 import TracingIcon from './tracing-icon'
 import ProviderPanel from './provider-panel'
-import type { LangFuseConfig, LangSmithConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
 import { TracingProvider } from './type'
 import ProviderConfigModal from './provider-config-modal'
 import Indicator from '@/app/components/header/indicator'
@@ -23,7 +23,8 @@ export type PopupProps = {
   onChooseProvider: (provider: TracingProvider) => void
   langSmithConfig: LangSmithConfig | null
   langFuseConfig: LangFuseConfig | null
-  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig) => void
+  opikConfig: OpikConfig | null
+  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
   onConfigRemoved: (provider: TracingProvider) => void
 }
 
@@ -36,6 +37,7 @@ const ConfigPopup: FC<PopupProps> = ({
   onChooseProvider,
   langSmithConfig,
   langFuseConfig,
+  opikConfig,
   onConfigUpdated,
   onConfigRemoved,
 }) => {
@@ -59,7 +61,7 @@ const ConfigPopup: FC<PopupProps> = ({
     }
   }, [onChooseProvider])
 
-  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig) => {
+  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig) => {
     onConfigUpdated(currentProvider!, payload)
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigUpdated])
@@ -69,8 +71,8 @@ const ConfigPopup: FC<PopupProps> = ({
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigRemoved])
 
-  const providerAllConfigured = langSmithConfig && langFuseConfig
-  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig
+  const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig
+  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig
 
   const switchContent = (
     <Switch
@@ -90,6 +92,7 @@ const ConfigPopup: FC<PopupProps> = ({
       onConfig={handleOnConfig(TracingProvider.langSmith)}
       isChosen={chosenProvider === TracingProvider.langSmith}
       onChoose={handleOnChoose(TracingProvider.langSmith)}
+      key="langSmith-provider-panel"
     />
   )
 
@@ -102,9 +105,61 @@ const ConfigPopup: FC<PopupProps> = ({
       onConfig={handleOnConfig(TracingProvider.langfuse)}
       isChosen={chosenProvider === TracingProvider.langfuse}
       onChoose={handleOnChoose(TracingProvider.langfuse)}
+      key="langfuse-provider-panel"
     />
   )
 
+  const opikPanel = (
+    <ProviderPanel
+      type={TracingProvider.opik}
+      readOnly={readOnly}
+      config={opikConfig}
+      hasConfigured={!!opikConfig}
+      onConfig={handleOnConfig(TracingProvider.opik)}
+      isChosen={chosenProvider === TracingProvider.opik}
+      onChoose={handleOnChoose(TracingProvider.opik)}
+      key="opik-provider-panel"
+    />
+  )
+
+  const configuredProviderPanel = () => {
+    const configuredPanels: ProviderPanel[] = []
+
+    if (langSmithConfig)
+      configuredPanels.push(langSmithPanel)
+
+    if (langFuseConfig)
+      configuredPanels.push(langfusePanel)
+
+    if (opikConfig)
+      configuredPanels.push(opikPanel)
+
+    return configuredPanels
+  }
+
+  const moreProviderPanel = () => {
+    const notConfiguredPanels: ProviderPanel[] = []
+
+    if (!langSmithConfig)
+      notConfiguredPanels.push(langSmithPanel)
+
+    if (!langFuseConfig)
+      notConfiguredPanels.push(langfusePanel)
+
+    if (!opikConfig)
+      notConfiguredPanels.push(opikPanel)
+
+    return notConfiguredPanels
+  }
+
+  const configuredProviderConfig = () => {
+    if (currentProvider === TracingProvider.langSmith)
+      return langSmithConfig
+    if (currentProvider === TracingProvider.langfuse)
+      return langFuseConfig
+    return opikConfig
+  }
+
   return (
     <div className='w-[420px] p-4 rounded-2xl bg-white border-[0.5px] border-black/5 shadow-lg'>
       <div className='flex justify-between items-center'>
@@ -146,18 +201,19 @@ const ConfigPopup: FC<PopupProps> = ({
               <div className='mt-2 space-y-2'>
                 {langSmithPanel}
                 {langfusePanel}
+                {opikPanel}
               </div>
             </>
           )
           : (
             <>
               <div className='leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
-              <div className='mt-2'>
-                {langSmithConfig ? langSmithPanel : langfusePanel}
+              <div className='mt-2 space-y-2'>
+                {configuredProviderPanel()}
               </div>
               <div className='mt-3 leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
-              <div className='mt-2'>
-                {!langSmithConfig ? langSmithPanel : langfusePanel}
+              <div className='mt-2 space-y-2'>
+                {moreProviderPanel()}
               </div>
             </>
           )}
@@ -167,7 +223,7 @@ const ConfigPopup: FC<PopupProps> = ({
         <ProviderConfigModal
           appId={appId}
           type={currentProvider!}
-          payload={currentProvider === TracingProvider.langSmith ? langSmithConfig : langFuseConfig}
+          payload={configuredProviderConfig()}
           onCancel={hideConfigModal}
           onSaved={handleConfigUpdated}
           onChosen={onChooseProvider}
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts
index bbc1f0f220..0f3f280b30 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts
@@ -3,4 +3,5 @@ import { TracingProvider } from './type'
 export const docURL = {
   [TracingProvider.langSmith]: 'https://docs.smith.langchain.com/',
   [TracingProvider.langfuse]: 'https://docs.langfuse.com',
+  [TracingProvider.opik]: 'https://www.comet.com/docs/opik/tracing/integrations/dify#setup-instructions',
 }
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
index bc724c1449..b62bb1d6d7 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
@@ -9,7 +9,7 @@ import { TracingProvider } from './type'
 import TracingIcon from './tracing-icon'
 import ConfigButton from './config-button'
 import cn from '@/utils/classnames'
-import { LangfuseIcon, LangsmithIcon } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIcon, LangsmithIcon, OpikIcon } from '@/app/components/base/icons/src/public/tracing'
 import Indicator from '@/app/components/header/indicator'
 import { fetchTracingConfig as doFetchTracingConfig, fetchTracingStatus, updateTracingStatus } from '@/service/apps'
 import type { TracingStatus } from '@/models/app'
@@ -70,11 +70,20 @@ const Panel: FC = () => {
     })
   }
   const inUseTracingProvider: TracingProvider | null = tracingStatus?.tracing_provider || null
-  const InUseProviderIcon = inUseTracingProvider === TracingProvider.langSmith ? LangsmithIcon : LangfuseIcon
+
+  const InUseProviderIcon
+    = inUseTracingProvider === TracingProvider.langSmith
+      ? LangsmithIcon
+      : inUseTracingProvider === TracingProvider.langfuse
+        ? LangfuseIcon
+        : inUseTracingProvider === TracingProvider.opik
+          ? OpikIcon
+          : null
 
   const [langSmithConfig, setLangSmithConfig] = useState<LangSmithConfig | null>(null)
   const [langFuseConfig, setLangFuseConfig] = useState<LangFuseConfig | null>(null)
-  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig)
+  const [opikConfig, setOpikConfig] = useState<OpikConfig | null>(null)
+  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig)
 
   const fetchTracingConfig = async () => {
     const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith })
@@ -83,6 +92,9 @@ const Panel: FC = () => {
     const { tracing_config: langFuseConfig, has_not_configured: langFuseHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langfuse })
     if (!langFuseHasNotConfig)
       setLangFuseConfig(langFuseConfig as LangFuseConfig)
+    const { tracing_config: opikConfig, has_not_configured: OpikHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.opik })
+    if (!OpikHasNotConfig)
+      setOpikConfig(opikConfig as OpikConfig)
   }
 
   const handleTracingConfigUpdated = async (provider: TracingProvider) => {
@@ -90,15 +102,19 @@ const Panel: FC = () => {
     const { tracing_config } = await doFetchTracingConfig({ appId, provider })
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(tracing_config as LangSmithConfig)
-    else
+    else if (provider === TracingProvider.langSmith)
       setLangFuseConfig(tracing_config as LangFuseConfig)
+    else if (provider === TracingProvider.opik)
+      setOpikConfig(tracing_config as OpikConfig)
   }
 
   const handleTracingConfigRemoved = (provider: TracingProvider) => {
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(null)
-    else
+    else if (provider === TracingProvider.langSmith)
       setLangFuseConfig(null)
+    else if (provider === TracingProvider.opik)
+      setOpikConfig(null)
     if (provider === inUseTracingProvider) {
       handleTracingStatusChange({
         enabled: false,
@@ -167,6 +183,7 @@ const Panel: FC = () => {
             onChooseProvider={handleChooseProvider}
             langSmithConfig={langSmithConfig}
             langFuseConfig={langFuseConfig}
+            opikConfig={opikConfig}
             onConfigUpdated={handleTracingConfigUpdated}
             onConfigRemoved={handleTracingConfigRemoved}
             controlShowPopup={controlShowPopup}
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
index e7ecd2f4ce..b813e9b134 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
@@ -4,7 +4,7 @@ import React, { useCallback, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
 import Field from './field'
-import type { LangFuseConfig, LangSmithConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
 import { TracingProvider } from './type'
 import { docURL } from './config'
 import {
@@ -21,10 +21,10 @@ import Toast from '@/app/components/base/toast'
 type Props = {
   appId: string
   type: TracingProvider
-  payload?: LangSmithConfig | LangFuseConfig | null
+  payload?: LangSmithConfig | LangFuseConfig | OpikConfig | null
   onRemoved: () => void
   onCancel: () => void
-  onSaved: (payload: LangSmithConfig | LangFuseConfig) => void
+  onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
   onChosen: (provider: TracingProvider) => void
 }
 
@@ -42,6 +42,13 @@ const langFuseConfigTemplate = {
   host: '',
 }
 
+const opikConfigTemplate = {
+  api_key: '',
+  project: '',
+  url: '',
+  workspace: '',
+}
+
 const ProviderConfigModal: FC<Props> = ({
   appId,
   type,
@@ -55,14 +62,17 @@ const ProviderConfigModal: FC<Props> = ({
   const isEdit = !!payload
   const isAdd = !isEdit
   const [isSaving, setIsSaving] = useState(false)
-  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig>((() => {
+  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig>((() => {
     if (isEdit)
       return payload
 
     if (type === TracingProvider.langSmith)
       return langSmithConfigTemplate
 
-    return langFuseConfigTemplate
+    else if (type === TracingProvider.langfuse)
+      return langFuseConfigTemplate
+
+    return opikConfigTemplate
   })())
   const [isShowRemoveConfirm, {
     setTrue: showRemoveConfirm,
@@ -111,6 +121,10 @@ const ProviderConfigModal: FC<Props> = ({
         errorMessage = t('common.errorMsg.fieldRequired', { field: 'Host' })
     }
 
+    if (type === TracingProvider.opik) {
+      const postData = config as OpikConfig
+    }
+
     return errorMessage
   }, [config, t, type])
   const handleSave = useCallback(async () => {
@@ -215,6 +229,38 @@ const ProviderConfigModal: FC<Props> = ({
                           />
                         </>
                       )}
+                      {type === TracingProvider.opik && (
+                        <>
+                          <Field
+                            label='API Key'
+                            labelClassName='!text-sm'
+                            value={(config as OpikConfig).api_key}
+                            onChange={handleConfigChange('api_key')}
+                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'API Key' })!}
+                          />
+                          <Field
+                            label={t(`${I18N_PREFIX}.project`)!}
+                            labelClassName='!text-sm'
+                            value={(config as OpikConfig).project}
+                            onChange={handleConfigChange('project')}
+                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
+                          />
+                          <Field
+                            label='Workspace'
+                            labelClassName='!text-sm'
+                            value={(config as OpikConfig).workspace}
+                            onChange={handleConfigChange('workspace')}
+                            placeholder={'default'}
+                          />
+                          <Field
+                            label='Url'
+                            labelClassName='!text-sm'
+                            value={(config as OpikConfig).url}
+                            onChange={handleConfigChange('url')}
+                            placeholder={'https://www.comet.com/opik/api/'}
+                          />
+                        </>
+                      )}
 
                     </div>
                     <div className='my-8 flex justify-between items-center h-8'>
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
index 6e5046ecf8..34e5bbeb0f 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
@@ -4,7 +4,7 @@ import React, { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import { TracingProvider } from './type'
 import cn from '@/utils/classnames'
-import { LangfuseIconBig, LangsmithIconBig } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing'
 import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
 import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general'
 
@@ -24,6 +24,7 @@ const getIcon = (type: TracingProvider) => {
   return ({
     [TracingProvider.langSmith]: LangsmithIconBig,
     [TracingProvider.langfuse]: LangfuseIconBig,
+    [TracingProvider.opik]: OpikIconBig,
   })[type]
 }
 
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts
index e07cf37c9d..982d01ffb3 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts
@@ -1,6 +1,7 @@
 export enum TracingProvider {
   langSmith = 'langsmith',
   langfuse = 'langfuse',
+  opik = 'opik',
 }
 
 export type LangSmithConfig = {
@@ -14,3 +15,10 @@ export type LangFuseConfig = {
   secret_key: string
   host: string
 }
+
+export type OpikConfig = {
+  api_key: string
+  project: string
+  workspace: string
+  url: string
+}
diff --git a/web/app/components/base/icons/assets/public/tracing/opik-icon-big.svg b/web/app/components/base/icons/assets/public/tracing/opik-icon-big.svg
new file mode 100644
index 0000000000..99aa2da1a4
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/tracing/opik-icon-big.svg
@@ -0,0 +1,87 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg
+   width="70.700851"
+   height="24"
+   viewBox="0 0 70.700851 24"
+   fill="none"
+   version="1.1"
+   id="svg6"
+   sodipodi:docname="opik-icon-big.svg"
+   inkscape:version="1.3.2 (091e20ef0f, 2023-11-25)"
+   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:svg="http://www.w3.org/2000/svg">
+  <sodipodi:namedview
+     id="namedview6"
+     pagecolor="#ffffff"
+     bordercolor="#666666"
+     borderopacity="1.0"
+     inkscape:showpageshadow="2"
+     inkscape:pageopacity="0.0"
+     inkscape:pagecheckerboard="0"
+     inkscape:deskcolor="#d1d1d1"
+     inkscape:zoom="18.615088"
+     inkscape:cx="36.314629"
+     inkscape:cy="18.989972"
+     inkscape:window-width="2560"
+     inkscape:window-height="1371"
+     inkscape:window-x="0"
+     inkscape:window-y="0"
+     inkscape:window-maximized="1"
+     inkscape:current-layer="svg6" />
+  <rect
+     width="70.700851"
+     height="24"
+     fill="#ffffff"
+     id="rect1"
+     x="0"
+     y="0"
+     style="stroke-width:0.0683761;fill:none" />
+  <path
+     fill-rule="evenodd"
+     clip-rule="evenodd"
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+     fill="#3a3a3a"
+     id="path2"
+     style="stroke-width:0.0683761" />
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+     id="defs6">
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+       y1="269.78299"
+       x2="88.645203"
+       y2="75.4571"
+       gradientUnits="userSpaceOnUse"
+       gradientTransform="scale(0.06837607)">
+      <stop
+         stop-color="#FB9341"
+         id="stop5" />
+      <stop
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+         stop-color="#E30D3E"
+         id="stop6" />
+    </linearGradient>
+  </defs>
+</svg>
diff --git a/web/app/components/base/icons/assets/public/tracing/opik-icon.svg b/web/app/components/base/icons/assets/public/tracing/opik-icon.svg
new file mode 100644
index 0000000000..fb49254862
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/tracing/opik-icon.svg
@@ -0,0 +1,88 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg
+   width="47.133904"
+   height="16"
+   viewBox="0 0 47.133904 16"
+   fill="none"
+   version="1.1"
+   id="svg6"
+   sodipodi:docname="opik-icon.svg"
+   inkscape:version="1.3.2 (091e20ef0f, 2023-11-25)"
+   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:svg="http://www.w3.org/2000/svg">
+  <sodipodi:namedview
+     id="namedview6"
+     pagecolor="#b95d5d"
+     bordercolor="#666666"
+     borderopacity="1.0"
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index 0000000000..5bab796c78
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+					"d": "m 35.841594,11.76485 c -0.422659,0 -0.765298,-0.342365 -0.765298,-0.764686 V 5.4859892 c 0,-0.4223213 0.342639,-0.7646408 0.765298,-0.7646408 h 0.119484 c 0.422659,0 0.765298,0.3423195 0.765298,0.7646408 v 5.5141748 c 0,0.422321 -0.342639,0.764686 -0.765298,0.764686 z m 0.06635,-8.2042457 c -0.308006,0 -0.563241,-0.096726 -0.765662,-0.2901837 -0.19358,-0.1934528 -0.290371,-0.4264787 -0.290371,-0.6990729 0,-0.2813867 0.0968,-0.5144125 0.290371,-0.6990728 0.202421,-0.1934528 0.457656,-0.2901838 0.765662,-0.2901838 0.308006,0 0.558822,0.092332 0.752448,0.2769928 0.202375,0.1758678 0.303585,0.4001011 0.303585,0.6726954 0,0.2901792 -0.0968,0.536396 -0.290415,0.7386413 -0.19358,0.1934573 -0.448817,0.2901837 -0.765618,0.2901837 z",
+					"fill": "#3a3a3a",
+					"id": "path4",
+					"style": "stroke-width:0.0455515"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m 40.238571,10.195226 0.0396,-2.0708549 3.479613,-3.2151067 c 0.130739,-0.1208454 0.302264,-0.187916 0.480351,-0.187916 v 0 c 0.629636,0 0.945662,0.7599964 0.501357,1.2058131 l -1.926779,1.9333896 -0.871247,0.7254822 z m -0.581195,1.569624 c -0.42266,0 -0.765253,-0.342365 -0.765253,-0.764686 V 2.7424664 c 0,-0.4223168 0.342593,-0.7646726 0.765253,-0.7646726 h 0.119528 c 0.42266,0 0.765298,0.3423558 0.765298,0.7646726 v 8.2576976 c 0,0.422321 -0.342638,0.764686 -0.765298,0.764686 z m 4.919799,0 c -0.230994,0 -0.449637,-0.104271 -0.594959,-0.283718 l -2.34438,-2.8950987 1.042863,-1.3190088 2.564664,3.2606405 c 0.394542,0.501685 0.03692,1.237185 -0.601702,1.237185 z",
+					"fill": "#3a3a3a",
+					"id": "path5",
+					"style": "stroke-width:0.0455515"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {
+					"id": "defs6"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "linearGradient",
+						"attributes": {
+							"id": "paint0_linear_3874_31725",
+							"x1": "258.13101",
+							"y1": "269.78299",
+							"x2": "88.645203",
+							"y2": "75.4571",
+							"gradientUnits": "userSpaceOnUse",
+							"gradientTransform": "scale(0.04556973,0.04553331)"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"stop-color": "#FB9341",
+									"id": "stop5"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "1",
+									"stop-color": "#E30D3E",
+									"id": "stop6"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "OpikIcon"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/tracing/OpikIcon.tsx b/web/app/components/base/icons/src/public/tracing/OpikIcon.tsx
new file mode 100644
index 0000000000..4729baae79
--- /dev/null
+++ b/web/app/components/base/icons/src/public/tracing/OpikIcon.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './OpikIcon.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'OpikIcon'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/tracing/OpikIconBig.json b/web/app/components/base/icons/src/public/tracing/OpikIconBig.json
new file mode 100644
index 0000000000..1372a92c0e
--- /dev/null
+++ b/web/app/components/base/icons/src/public/tracing/OpikIconBig.json
@@ -0,0 +1,162 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "70.700851",
+			"height": "24",
+			"viewBox": "0 0 70.700851 24",
+			"fill": "none",
+			"version": "1.1",
+			"id": "svg6",
+			"sodipodi:docname": "opik-icon-big.svg",
+			"inkscape:version": "1.3.2 (091e20ef0f, 2023-11-25)",
+			"xmlns:inkscape": "http://www.inkscape.org/namespaces/inkscape",
+			"xmlns:sodipodi": "http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd",
+			"xmlns": "http://www.w3.org/2000/svg",
+			"xmlns:svg": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "sodipodi:namedview",
+				"attributes": {
+					"id": "namedview6",
+					"pagecolor": "#ffffff",
+					"bordercolor": "#666666",
+					"borderopacity": "1.0",
+					"inkscape:showpageshadow": "2",
+					"inkscape:pageopacity": "0.0",
+					"inkscape:pagecheckerboard": "0",
+					"inkscape:deskcolor": "#d1d1d1",
+					"inkscape:zoom": "18.615088",
+					"inkscape:cx": "36.314629",
+					"inkscape:cy": "18.989972",
+					"inkscape:window-width": "2560",
+					"inkscape:window-height": "1371",
+					"inkscape:window-x": "0",
+					"inkscape:window-y": "0",
+					"inkscape:window-maximized": "1",
+					"inkscape:current-layer": "svg6"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "rect",
+				"attributes": {
+					"width": "70.700851",
+					"height": "24",
+					"fill": "#ffffff",
+					"id": "rect1",
+					"x": "0",
+					"y": "0",
+					"style": "stroke-width:0.0683761;fill:none"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"fill-rule": "evenodd",
+					"clip-rule": "evenodd",
+					"d": "M 14.463316,5.8949744 C 11.191179,4.456547 7.3065299,5.9932444 5.8118769,9.3932308 4.3172308,12.793231 5.8113846,16.694496 9.0834872,18.132923 c 1.3197948,0.580171 2.7316238,0.676855 4.0492308,0.364923 0.567179,-0.13429 1.135863,0.216684 1.270085,0.783863 0.134291,0.56718 -0.216615,1.135864 -0.783863,1.270154 C 11.873983,20.964923 9.9916581,20.83788 8.2340513,20.065231 3.8540444,18.139761 1.9338872,12.969778 3.8795692,8.5437949 5.8252581,4.1177778 10.932786,2.0372103 15.312752,3.9626667 c 2.672342,1.1747624 4.432069,3.564376 4.952137,6.2470423 0.110974,0.57224 -0.262974,1.126017 -0.835214,1.236992 -0.572171,0.110906 -1.126017,-0.263043 -1.236923,-0.835282 C 17.796308,8.5668376 16.46359,6.7742906 14.463316,5.8949744 Z M 18.01388,17.557812 c 0.20424,0.856752 -0.324786,1.716786 -1.181538,1.921026 -0.856752,0.204171 -1.716855,-0.324787 -1.921026,-1.181539 -0.204239,-0.856752 0.324787,-1.716855 1.181539,-1.921025 0.856752,-0.20424 1.716854,0.324786 1.921025,1.181538 z m 1.329368,-1.216547 c 1.144615,-0.272821 1.85135,-1.42188 1.57853,-2.566427 -0.272821,-1.144616 -1.421881,-1.851351 -2.566428,-1.57853 -1.144615,0.27282 -1.85135,1.421812 -1.578529,2.566427 0.27282,1.144615 1.42188,1.85135 2.566427,1.57853 z",
+					"fill": "url(#paint0_linear_3874_31725)",
+					"id": "path1",
+					"style": "fill:url(#paint0_linear_3874_31725);stroke-width:0.0683761"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m 31.039658,17.805538 c -1.082803,0 -2.046769,-0.231042 -2.891897,-0.693196 -0.84506,-0.475419 -1.511932,-1.122462 -2.000479,-1.941128 -0.488615,-0.818667 -0.732855,-1.749607 -0.732855,-2.792821 0,-1.056342 0.24424,-1.987282 0.732855,-2.7928204 0.488547,-0.8186666 1.155419,-1.4590769 2.000479,-1.9212991 0.845128,-0.4621538 1.809094,-0.6931966 2.891897,-0.6931966 1.096,0 2.06653,0.2310428 2.911658,0.6931966 0.858257,0.4622222 1.525128,1.096 2.000479,1.9015385 0.488615,0.80547 0.732855,1.742974 0.732855,2.812581 0,1.043214 -0.24424,1.974154 -0.732855,2.792821 -0.475351,0.818666 -1.142222,1.465709 -2.000479,1.941128 -0.845128,0.462154 -1.815658,0.693196 -2.911658,0.693196 z m 0,-2.119316 c 0.607385,0 1.148786,-0.132102 1.624137,-0.396171 0.475419,-0.264068 0.845128,-0.647042 1.109196,-1.148786 0.277334,-0.501812 0.416,-1.089436 0.416,-1.762872 0,-0.686632 -0.138666,-1.274256 -0.416,-1.762803 -0.264068,-0.501812 -0.633777,-0.8847182 -1.109196,-1.148855 -0.475351,-0.2640683 -1.01012,-0.3961025 -1.604376,-0.3961025 -0.607385,0 -1.148787,0.1320342 -1.624137,0.3961025 -0.462222,0.2641368 -0.831932,0.647043 -1.109265,1.148855 -0.277265,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138667,1.26106 0.415932,1.762872 0.277333,0.501744 0.647043,0.884718 1.109265,1.148786 0.47535,0.264069 1.01012,0.396171 1.604376,0.396171 z",
+					"fill": "#3a3a3a",
+					"id": "path2",
+					"style": "stroke-width:0.0683761"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m 44.915145,17.805538 c -0.858256,0 -1.643966,-0.198017 -2.35706,-0.594188 -0.699829,-0.396171 -1.261059,-0.990359 -1.683555,-1.782632 -0.409368,-0.805539 -0.614017,-1.822291 -0.614017,-3.050325 0,-1.241231 0.198017,-2.257983 0.594188,-3.0503246 0.409367,-0.7922735 0.963966,-1.3798975 1.663795,-1.7628034 0.699829,-0.396171 1.498735,-0.5941881 2.396649,-0.5941881 1.043214,0 1.960958,0.2244787 2.753231,0.6734359 0.80547,0.4489573 1.439316,1.076171 1.90147,1.881641 0.475351,0.8055382 0.713026,1.7562392 0.713026,2.8522392 0,1.096 -0.237675,2.053333 -0.713026,2.872069 -0.462154,0.80547 -1.096,1.432683 -1.90147,1.881641 -0.792273,0.448957 -1.710017,0.673435 -2.753231,0.673435 z m -4.714598,3.703932 c -0.634188,0 -1.148308,-0.514051 -1.148308,-1.148239 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.06044 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 1.3474188 l -0.07925,2.8126494 0.198086,2.812581 v 5.150428 c 0,0.634188 -0.51412,1.148239 -1.148308,1.148239 z m 4.437333,-5.823248 c 0.594188,0 1.122394,-0.132102 1.584547,-0.396171 0.475351,-0.264068 0.851693,-0.647042 1.129026,-1.148786 0.277265,-0.501812 0.415932,-1.089436 0.415932,-1.762872 0,-0.686632 -0.138667,-1.274256 -0.415932,-1.762803 C 47.07412,10.113778 46.697778,9.7308718 46.222427,9.466735 45.760274,9.2026667 45.232068,9.0706325 44.63788,9.0706325 c -0.594256,0 -1.129025,0.1320342 -1.604376,0.3961025 -0.475419,0.2641368 -0.85176,0.647043 -1.129025,1.148855 -0.277334,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138598,1.26106 0.415932,1.762872 0.277265,0.501744 0.653606,0.884718 1.129025,1.148786 0.475351,0.264069 1.01012,0.396171 1.604376,0.396171 z",
+					"fill": "#3a3a3a",
+					"id": "path3",
+					"style": "stroke-width:0.0683761"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m 53.779282,17.66694 c -0.634188,0 -1.148308,-0.514119 -1.148308,-1.148308 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.179282 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 8.2804782 c 0,0.634189 -0.51412,1.148308 -1.148308,1.148308 z m 0.09956,-12.3200819 c -0.462154,0 -0.845129,-0.1452513 -1.148855,-0.4357607 -0.290462,-0.2905025 -0.435692,-0.6404307 -0.435692,-1.0497777 0,-0.4225505 0.14523,-0.7724787 0.435692,-1.0497778 0.303726,-0.2905026 0.686701,-0.4357607 1.148855,-0.4357607 0.462153,0 0.838495,0.138653 1.129025,0.4159521 0.303658,0.2640958 0.455522,0.6008205 0.455522,1.0101676 0,0.4357538 -0.145231,0.8054906 -0.435761,1.1091965 -0.290462,0.2905094 -0.673436,0.4357607 -1.148786,0.4357607 z",
+					"fill": "#3a3a3a",
+					"id": "path4",
+					"style": "stroke-width:0.0683761"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m 60.376821,15.30988 0.05942,-3.109743 5.22106,-4.8280344 c 0.196169,-0.1814701 0.453537,-0.2821881 0.72075,-0.2821881 v 0 c 0.944752,0 1.41894,1.141265 0.752274,1.8107351 l -2.891077,2.9033164 -1.307282,1.089436 z m -0.872069,2.35706 c -0.634188,0 -1.148239,-0.514119 -1.148239,-1.148308 V 4.1182838 c 0,-0.6341812 0.514051,-1.1482872 1.148239,-1.1482872 h 0.179351 c 0.634188,0 1.148307,0.514106 1.148307,1.1482872 V 16.518632 c 0,0.634189 -0.514119,1.148308 -1.148307,1.148308 z m 7.382017,0 c -0.346598,0 -0.674666,-0.156581 -0.892718,-0.426051 l -3.517675,-4.347487 1.564786,-1.980718 3.848206,4.89641 c 0.592,0.753368 0.05538,1.857846 -0.902838,1.857846 z",
+					"fill": "#3a3a3a",
+					"id": "path5",
+					"style": "stroke-width:0.0683761"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {
+					"id": "defs6"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "linearGradient",
+						"attributes": {
+							"id": "paint0_linear_3874_31725",
+							"x1": "258.13101",
+							"y1": "269.78299",
+							"x2": "88.645203",
+							"y2": "75.4571",
+							"gradientUnits": "userSpaceOnUse",
+							"gradientTransform": "scale(0.06837607)"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"stop-color": "#FB9341",
+									"id": "stop5"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "1",
+									"stop-color": "#E30D3E",
+									"id": "stop6"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "OpikIconBig"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/tracing/OpikIconBig.tsx b/web/app/components/base/icons/src/public/tracing/OpikIconBig.tsx
new file mode 100644
index 0000000000..10b41b961c
--- /dev/null
+++ b/web/app/components/base/icons/src/public/tracing/OpikIconBig.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './OpikIconBig.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'OpikIconBig'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/tracing/index.ts b/web/app/components/base/icons/src/public/tracing/index.ts
index 9cedf9cec3..09ffd54bd4 100644
--- a/web/app/components/base/icons/src/public/tracing/index.ts
+++ b/web/app/components/base/icons/src/public/tracing/index.ts
@@ -2,4 +2,6 @@ export { default as LangfuseIconBig } from './LangfuseIconBig'
 export { default as LangfuseIcon } from './LangfuseIcon'
 export { default as LangsmithIconBig } from './LangsmithIconBig'
 export { default as LangsmithIcon } from './LangsmithIcon'
+export { default as OpikIconBig } from './OpikIconBig'
+export { default as OpikIcon } from './OpikIcon'
 export { default as TracingIcon } from './TracingIcon'
diff --git a/web/i18n/en-US/app.ts b/web/i18n/en-US/app.ts
index 861827d3e3..343b01e9b5 100644
--- a/web/i18n/en-US/app.ts
+++ b/web/i18n/en-US/app.ts
@@ -157,6 +157,10 @@ const translation = {
       title: 'Langfuse',
       description: 'Traces, evals, prompt management and metrics to debug and improve your LLM application.',
     },
+    opik: {
+      title: 'Opik',
+      description: 'Opik is an open-source platform for evaluating, testing, and monitoring LLM applications.',
+    },
     inUse: 'In use',
     configProvider: {
       title: 'Config ',
diff --git a/web/i18n/zh-Hans/app.ts b/web/i18n/zh-Hans/app.ts
index 3d3e95130d..be93a84195 100644
--- a/web/i18n/zh-Hans/app.ts
+++ b/web/i18n/zh-Hans/app.ts
@@ -157,6 +157,10 @@ const translation = {
       title: 'Langfuse',
       description: '跟踪、评估、提示管理和指标，以调试和改进您的 LLM 应用程序。',
     },
+    opik: {
+      title: 'Opik',
+      description: '一个全方位的开发者平台，适用于 LLM 驱动应用程序生命周期的每个步骤。',
+    },
     inUse: '使用中',
     configProvider: {
       title: '配置 ',
diff --git a/web/models/app.ts b/web/models/app.ts
index acb1c09622..edf8554457 100644
--- a/web/models/app.ts
+++ b/web/models/app.ts
@@ -1,4 +1,4 @@
-import type { LangFuseConfig, LangSmithConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
 import type { App, AppSSO, AppTemplate, SiteConfig } from '@/types/app'
 
 /* export type App = {
@@ -165,5 +165,5 @@ export type TracingStatus = {
 
 export type TracingConfig = {
   tracing_provider: TracingProvider
-  tracing_config: LangSmithConfig | LangFuseConfig
+  tracing_config: LangSmithConfig | LangFuseConfig | OpikConfig
 }

From 1859d57784b15faa68e01313f4c139da1c39c1c0 Mon Sep 17 00:00:00 2001
From: mbo <himabo@gmail.com>
Date: Mon, 13 Jan 2025 17:49:30 +0800
Subject: [PATCH 024/217] api tool support multiple env url (#12249)

Co-authored-by: mabo <mabo@aeyes.ai>
---
 api/core/tools/utils/parser.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py
index 30e4fdcf06..9d88d6d6ef 100644
--- a/api/core/tools/utils/parser.py
+++ b/api/core/tools/utils/parser.py
@@ -5,6 +5,7 @@ from json import loads as json_loads
 from json.decoder import JSONDecodeError
 from typing import Optional
 
+from flask import request
 from requests import get
 from yaml import YAMLError, safe_load  # type: ignore
 
@@ -29,6 +30,10 @@ class ApiBasedToolSchemaParser:
             raise ToolProviderNotFoundError("No server found in the openapi yaml.")
 
         server_url = openapi["servers"][0]["url"]
+        request_env = request.headers.get("X-Request-Env")
+        if request_env:
+            matched_servers = [server["url"] for server in openapi["servers"] if server["env"] == request_env]
+            server_url = matched_servers[0] if matched_servers else server_url
 
         # list all interfaces
         interfaces = []

From b4873ecb435c79ac1385157efac8843d33781da5 Mon Sep 17 00:00:00 2001
From: Warren Chen <warren.chen830@gmail.com>
Date: Mon, 13 Jan 2025 18:29:06 +0800
Subject: [PATCH 025/217] [fix] support feature restore (#12563)

---
 .../workflow/hooks/use-workflow-run.ts           | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/web/app/components/workflow/hooks/use-workflow-run.ts b/web/app/components/workflow/hooks/use-workflow-run.ts
index 11f0a1973f..53a6b58465 100644
--- a/web/app/components/workflow/hooks/use-workflow-run.ts
+++ b/web/app/components/workflow/hooks/use-workflow-run.ts
@@ -760,7 +760,21 @@ export const useWorkflowRun = () => {
       edges,
       viewport,
     })
-    featuresStore?.setState({ features: publishedWorkflow.features })
+    const mappedFeatures = {
+      opening: {
+        enabled: !!publishedWorkflow.features.opening_statement || !!publishedWorkflow.features.suggested_questions.length,
+        opening_statement: publishedWorkflow.features.opening_statement,
+        suggested_questions: publishedWorkflow.features.suggested_questions,
+      },
+      suggested: publishedWorkflow.features.suggested_questions_after_answer,
+      text2speech: publishedWorkflow.features.text_to_speech,
+      speech2text: publishedWorkflow.features.speech_to_text,
+      citation: publishedWorkflow.features.retriever_resource,
+      moderation: publishedWorkflow.features.sensitive_word_avoidance,
+      file: publishedWorkflow.features.file_upload,
+    }
+
+    featuresStore?.setState({ features: mappedFeatures })
     workflowStore.getState().setPublishedAt(publishedWorkflow.created_at)
     workflowStore.getState().setEnvironmentVariables(publishedWorkflow.environment_variables || [])
   }, [featuresStore, handleUpdateWorkflowCanvas, workflowStore])

From 1e9ac7ffebec3827d4d9c459c5de5636e6f71ea5 Mon Sep 17 00:00:00 2001
From: eux <euxuuu@gmail.com>
Date: Mon, 13 Jan 2025 18:31:43 +0800
Subject: [PATCH 026/217] feat: add table of contents to Knowledge API doc
 (#12688)

---
 web/app/(commonLayout)/datasets/Container.tsx |   2 +-
 web/app/(commonLayout)/datasets/Doc.tsx       | 109 +++++++++++++++---
 2 files changed, 97 insertions(+), 14 deletions(-)

diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx
index c39d9c5dbf..f484d30a3d 100644
--- a/web/app/(commonLayout)/datasets/Container.tsx
+++ b/web/app/(commonLayout)/datasets/Container.tsx
@@ -82,7 +82,7 @@ const Container = () => {
   }, [currentWorkspace, router])
 
   return (
-    <div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto'>
+    <div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto scroll-container'>
       <div className='sticky top-0 flex justify-between pt-4 px-12 pb-2 leading-[56px] bg-background-body z-10 flex-wrap gap-y-2'>
         <TabSliderNew
           value={activeTab}
diff --git a/web/app/(commonLayout)/datasets/Doc.tsx b/web/app/(commonLayout)/datasets/Doc.tsx
index 553dca5008..f7a7e8b063 100644
--- a/web/app/(commonLayout)/datasets/Doc.tsx
+++ b/web/app/(commonLayout)/datasets/Doc.tsx
@@ -1,7 +1,9 @@
 'use client'
 
-import { type FC, useEffect } from 'react'
+import { useEffect, useState } from 'react'
 import { useContext } from 'use-context-selector'
+import { useTranslation } from 'react-i18next'
+import { RiListUnordered } from '@remixicon/react'
 import TemplateEn from './template/template.en.mdx'
 import TemplateZh from './template/template.zh.mdx'
 import I18n from '@/context/i18n'
@@ -10,25 +12,106 @@ import { LanguagesSupported } from '@/i18n/language'
 type DocProps = {
   apiBaseUrl: string
 }
-const Doc: FC<DocProps> = ({
-  apiBaseUrl,
-}) => {
-  const { locale } = useContext(I18n)
 
+const Doc = ({ apiBaseUrl }: DocProps) => {
+  const { locale } = useContext(I18n)
+  const { t } = useTranslation()
+  const [toc, setToc] = useState<Array<{ href: string; text: string }>>([])
+  const [isTocExpanded, setIsTocExpanded] = useState(false)
+
+  // Set initial TOC expanded state based on screen width
   useEffect(() => {
-    const hash = location.hash
-    if (hash)
-      document.querySelector(hash)?.scrollIntoView()
+    const mediaQuery = window.matchMedia('(min-width: 1280px)')
+    setIsTocExpanded(mediaQuery.matches)
   }, [])
 
+  // Extract TOC from article content
+  useEffect(() => {
+    const extractTOC = () => {
+      const article = document.querySelector('article')
+      if (article) {
+        const headings = article.querySelectorAll('h2')
+        const tocItems = Array.from(headings).map((heading) => {
+          const anchor = heading.querySelector('a')
+          if (anchor) {
+            return {
+              href: anchor.getAttribute('href') || '',
+              text: anchor.textContent || '',
+            }
+          }
+          return null
+        }).filter((item): item is { href: string; text: string } => item !== null)
+        setToc(tocItems)
+      }
+    }
+
+    setTimeout(extractTOC, 0)
+  }, [locale])
+
+  // Handle TOC item click
+  const handleTocClick = (e: React.MouseEvent<HTMLAnchorElement>, item: { href: string; text: string }) => {
+    e.preventDefault()
+    const targetId = item.href.replace('#', '')
+    const element = document.getElementById(targetId)
+    if (element) {
+      const scrollContainer = document.querySelector('.scroll-container')
+      if (scrollContainer) {
+        const headerOffset = -40
+        const elementTop = element.offsetTop - headerOffset
+        scrollContainer.scrollTo({
+          top: elementTop,
+          behavior: 'smooth',
+        })
+      }
+    }
+  }
+
   return (
-    <article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
-      {
-        locale !== LanguagesSupported[1]
+    <div className="flex">
+      <div className={`fixed right-16 top-32 z-10 transition-all ${isTocExpanded ? 'w-64' : 'w-10'}`}>
+        {isTocExpanded
+          ? (
+            <nav className="toc w-full bg-gray-50 p-4 rounded-lg shadow-md max-h-[calc(100vh-150px)] overflow-y-auto">
+              <div className="flex justify-between items-center mb-4">
+                <h3 className="text-lg font-semibold">{t('appApi.develop.toc')}</h3>
+                <button
+                  onClick={() => setIsTocExpanded(false)}
+                  className="text-gray-500 hover:text-gray-700"
+                >
+                ✕
+                </button>
+              </div>
+              <ul className="space-y-2">
+                {toc.map((item, index) => (
+                  <li key={index}>
+                    <a
+                      href={item.href}
+                      className="text-gray-600 hover:text-gray-900 hover:underline transition-colors duration-200"
+                      onClick={e => handleTocClick(e, item)}
+                    >
+                      {item.text}
+                    </a>
+                  </li>
+                ))}
+              </ul>
+            </nav>
+          )
+          : (
+            <button
+              onClick={() => setIsTocExpanded(true)}
+              className="w-10 h-10 bg-gray-50 rounded-full shadow-md flex items-center justify-center hover:bg-gray-100 transition-colors duration-200"
+            >
+              <RiListUnordered className="w-6 h-6" />
+            </button>
+          )}
+      </div>
+      <article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
+        {locale !== LanguagesSupported[1]
           ? <TemplateEn apiBaseUrl={apiBaseUrl} />
           : <TemplateZh apiBaseUrl={apiBaseUrl} />
-      }
-    </article>
+        }
+      </article>
+    </div>
   )
 }
 

From 6e0fb055d18969eb923e719ad92ecac3a5c5d534 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Mon, 13 Jan 2025 19:21:06 +0800
Subject: [PATCH 027/217] chore: bump version to 0.15.1 (#12690)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/configs/packaging/__init__.py   | 2 +-
 docker-legacy/docker-compose.yaml   | 6 +++---
 docker/docker-compose-template.yaml | 6 +++---
 docker/docker-compose.yaml          | 6 +++---
 web/package.json                    | 2 +-
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py
index 278b1d3b8f..a54c5bf5ee 100644
--- a/api/configs/packaging/__init__.py
+++ b/api/configs/packaging/__init__.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.0",
+        default="0.15.1",
     )
 
     COMMIT_SHA: str = Field(
diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml
index c8bf382bcd..6e4c8a748e 100644
--- a/docker-legacy/docker-compose.yaml
+++ b/docker-legacy/docker-compose.yaml
@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       # Startup mode, 'api' starts the API server.
@@ -227,7 +227,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.0
+    image: langgenius/dify-web:0.15.1
     restart: always
     environment:
       # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index 6d70f14424..e2daead92e 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -25,7 +25,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -47,7 +47,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.0
+    image: langgenius/dify-web:0.15.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 173a88bc4c..f60fcdbcfc 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -393,7 +393,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -416,7 +416,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:0.15.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -438,7 +438,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.0
+    image: langgenius/dify-web:0.15.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/web/package.json b/web/package.json
index 7afb766d87..879b87c596 100644
--- a/web/package.json
+++ b/web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "dify-web",
-  "version": "0.15.0",
+  "version": "0.15.1",
   "private": true,
   "engines": {
     "node": ">=18.17.0"

From 435eddd8676ecdcad079e03625a0239ba13bcee1 Mon Sep 17 00:00:00 2001
From: KVOJJJin <jzongcode@gmail.com>
Date: Tue, 14 Jan 2025 10:00:57 +0800
Subject: [PATCH 028/217] Feat: copyright modification (#12707)

---
 .../app/overview/settings/index.tsx           | 374 ++++++++++++------
 .../app/overview/settings/style.module.css    |  18 -
 .../chat/chat-with-history/sidebar/index.tsx  |   8 +-
 .../icons/assets/public/common/highlight.svg  |   9 +
 .../assets/public/common/sparkles-soft.svg    |   6 +
 .../icons/src/public/common/Highlight.json    |  67 ++++
 .../icons/src/public/common/Highlight.tsx     |  16 +
 .../icons/src/public/common/SparklesSoft.json |  47 +++
 .../icons/src/public/common/SparklesSoft.tsx  |  16 +
 .../base/icons/src/public/common/index.ts     |   2 +
 .../components/base/premium-badge/index.css   |  48 +++
 .../components/base/premium-badge/index.tsx   |  78 ++++
 .../share/text-generation/index.tsx           |   6 +-
 web/i18n/en-US/app-overview.ts                |   7 +-
 web/i18n/zh-Hans/app-overview.ts              |   3 +
 15 files changed, 550 insertions(+), 155 deletions(-)
 delete mode 100644 web/app/components/app/overview/settings/style.module.css
 create mode 100644 web/app/components/base/icons/assets/public/common/highlight.svg
 create mode 100644 web/app/components/base/icons/assets/public/common/sparkles-soft.svg
 create mode 100644 web/app/components/base/icons/src/public/common/Highlight.json
 create mode 100644 web/app/components/base/icons/src/public/common/Highlight.tsx
 create mode 100644 web/app/components/base/icons/src/public/common/SparklesSoft.json
 create mode 100644 web/app/components/base/icons/src/public/common/SparklesSoft.tsx
 create mode 100644 web/app/components/base/premium-badge/index.css
 create mode 100644 web/app/components/base/premium-badge/index.tsx

diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx
index e7cc4148ef..f9d13b9272 100644
--- a/web/app/components/app/overview/settings/index.tsx
+++ b/web/app/components/app/overview/settings/index.tsx
@@ -1,26 +1,33 @@
 'use client'
 import type { FC } from 'react'
-import React, { useEffect, useState } from 'react'
-import { ChevronRightIcon } from '@heroicons/react/20/solid'
+import React, { useCallback, useEffect, useState } from 'react'
+import { RiArrowRightSLine, RiCloseLine } from '@remixicon/react'
 import Link from 'next/link'
 import { Trans, useTranslation } from 'react-i18next'
-import { useContextSelector } from 'use-context-selector'
-import s from './style.module.css'
+import { useContext, useContextSelector } from 'use-context-selector'
+import { SparklesSoft } from '@/app/components/base/icons/src/public/common'
 import Modal from '@/app/components/base/modal'
+import ActionButton from '@/app/components/base/action-button'
 import Button from '@/app/components/base/button'
+import Divider from '@/app/components/base/divider'
 import Input from '@/app/components/base/input'
 import Textarea from '@/app/components/base/textarea'
 import AppIcon from '@/app/components/base/app-icon'
 import Switch from '@/app/components/base/switch'
+import PremiumBadge from '@/app/components/base/premium-badge'
 import { SimpleSelect } from '@/app/components/base/select'
 import type { AppDetailResponse } from '@/models/app'
 import type { AppIconType, AppSSO, Language } from '@/types/app'
 import { useToastContext } from '@/app/components/base/toast'
-import { languages } from '@/i18n/language'
+import { LanguagesSupported, languages } from '@/i18n/language'
 import Tooltip from '@/app/components/base/tooltip'
 import AppContext, { useAppContext } from '@/context/app-context'
+import { useProviderContext } from '@/context/provider-context'
+import { useModalContext } from '@/context/modal-context'
 import type { AppIconSelection } from '@/app/components/base/app-icon-picker'
 import AppIconPicker from '@/app/components/base/app-icon-picker'
+import I18n from '@/context/i18n'
+import cn from '@/utils/classnames'
 
 export type ISettingsModalProps = {
   isChat: boolean
@@ -84,6 +91,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({
     chatColorTheme: chat_color_theme,
     chatColorThemeInverted: chat_color_theme_inverted,
     copyright,
+    copyrightSwitchValue: !!copyright,
     privacyPolicy: privacy_policy,
     customDisclaimer: custom_disclaimer,
     show_workflow_steps,
@@ -93,6 +101,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({
   const [language, setLanguage] = useState(default_language)
   const [saveLoading, setSaveLoading] = useState(false)
   const { t } = useTranslation()
+  const { locale } = useContext(I18n)
 
   const [showAppIconPicker, setShowAppIconPicker] = useState(false)
   const [appIcon, setAppIcon] = useState<AppIconSelection>(
@@ -100,7 +109,16 @@ const SettingsModal: FC<ISettingsModalProps> = ({
       ? { type: 'image', url: icon_url!, fileId: icon }
       : { type: 'emoji', icon, background: icon_background! },
   )
-  const isChatBot = appInfo.mode === 'chat' || appInfo.mode === 'advanced-chat' || appInfo.mode === 'agent-chat'
+
+  const { enableBilling, plan } = useProviderContext()
+  const { setShowPricingModal, setShowAccountSettingModal } = useModalContext()
+  const isFreePlan = plan.type === 'sandbox'
+  const handlePlanClick = useCallback(() => {
+    if (isFreePlan)
+      setShowPricingModal()
+    else
+      setShowAccountSettingModal({ payload: 'billing' })
+  }, [isFreePlan, setShowAccountSettingModal, setShowPricingModal])
 
   useEffect(() => {
     setInputInfo({
@@ -109,6 +127,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({
       chatColorTheme: chat_color_theme,
       chatColorThemeInverted: chat_color_theme_inverted,
       copyright,
+      copyrightSwitchValue: !!copyright,
       privacyPolicy: privacy_policy,
       customDisclaimer: custom_disclaimer,
       show_workflow_steps,
@@ -158,7 +177,11 @@ const SettingsModal: FC<ISettingsModalProps> = ({
       chat_color_theme: inputInfo.chatColorTheme,
       chat_color_theme_inverted: inputInfo.chatColorThemeInverted,
       prompt_public: false,
-      copyright: inputInfo.copyright,
+      copyright: isFreePlan
+        ? ''
+        : inputInfo.copyrightSwitchValue
+          ? inputInfo.copyright
+          : '',
       privacy_policy: inputInfo.privacyPolicy,
       custom_disclaimer: inputInfo.customDisclaimer,
       icon_type: appIcon.type,
@@ -192,141 +215,232 @@ const SettingsModal: FC<ISettingsModalProps> = ({
   return (
     <>
       <Modal
-        title={t(`${prefixSettings}.title`)}
         isShow={isShow}
+        closable={false}
         onClose={onHide}
-        className={`${s.settingsModal}`}
+        className='max-w-[520px] p-0'
       >
-        <div className={`mt-6 font-medium ${s.settingTitle} text-gray-900`}>{t(`${prefixSettings}.webName`)}</div>
-        <div className='flex mt-2'>
-          <AppIcon size='large'
-            onClick={() => { setShowAppIconPicker(true) }}
-            className='cursor-pointer !mr-3 self-center'
-            iconType={appIcon.type}
-            icon={appIcon.type === 'image' ? appIcon.fileId : appIcon.icon}
-            background={appIcon.type === 'image' ? undefined : appIcon.background}
-            imageUrl={appIcon.type === 'image' ? appIcon.url : undefined}
-          />
-          <Input
-            className='grow h-10'
-            value={inputInfo.title}
-            onChange={onChange('title')}
-            placeholder={t('app.appNamePlaceholder') || ''}
-          />
+        {/* header */}
+        <div className='pl-6 pt-5 pr-5 pb-3'>
+          <div className='flex items-center gap-1'>
+            <div className='grow text-text-primary title-2xl-semi-bold'>{t(`${prefixSettings}.title`)}</div>
+            <ActionButton className='shrink-0' onClick={onHide}>
+              <RiCloseLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+          <div className='mt-0.5 text-text-tertiary system-xs-regular'>
+            <span>{t(`${prefixSettings}.modalTip`)}</span>
+            <Link href={`${locale === LanguagesSupported[1] ? 'https://docs.dify.ai/zh-hans/guides/application-publishing/launch-your-webapp-quickly#she-zhi-ni-de-ai-zhan-dian' : 'https://docs.dify.ai/guides/application-publishing/launch-your-webapp-quickly#setting-up-your-ai-site'}`} target='_blank' rel='noopener noreferrer' className='text-text-accent'>{t('common.operation.learnMore')}</Link>
+          </div>
         </div>
-        <div className={`mt-6 font-medium ${s.settingTitle} text-gray-900 `}>{t(`${prefixSettings}.webDesc`)}</div>
-        <p className={`mt-1 ${s.settingsTip} text-gray-500`}>{t(`${prefixSettings}.webDescTip`)}</p>
-        <Textarea
-          className='mt-2'
-          value={inputInfo.desc}
-          onChange={e => onDesChange(e.target.value)}
-          placeholder={t(`${prefixSettings}.webDescPlaceholder`) as string}
-        />
-        {isChatBot && (
-          <div className='w-full mt-4'>
-            <div className='flex justify-between items-center'>
-              <div className={`font-medium ${s.settingTitle} text-gray-900 `}>{t('app.answerIcon.title')}</div>
-              <Switch
-                defaultValue={inputInfo.use_icon_as_answer_icon}
-                onChange={v => setInputInfo({ ...inputInfo, use_icon_as_answer_icon: v })}
+        {/* form body */}
+        <div className='px-6 py-3 space-y-5'>
+          {/* name & icon */}
+          <div className='flex gap-4'>
+            <div className='grow'>
+              <div className={cn('mb-1 py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.webName`)}</div>
+              <Input
+                className='w-full'
+                value={inputInfo.title}
+                onChange={onChange('title')}
+                placeholder={t('app.appNamePlaceholder') || ''}
               />
             </div>
-            <p className='body-xs-regular text-gray-500'>{t('app.answerIcon.description')}</p>
-          </div>
-        )}
-        <div className={`mt-6 mb-2 font-medium ${s.settingTitle} text-gray-900 `}>{t(`${prefixSettings}.language`)}</div>
-        <SimpleSelect
-          items={languages.filter(item => item.supported)}
-          defaultValue={language}
-          onSelect={item => setLanguage(item.value as Language)}
-        />
-        <div className='w-full mt-8'>
-          <p className='system-xs-medium text-gray-500'>{t(`${prefixSettings}.workflow.title`)}</p>
-          <div className='flex justify-between items-center'>
-            <div className='font-medium system-sm-semibold flex-grow text-gray-900'>{t(`${prefixSettings}.workflow.subTitle`)}</div>
-            <Switch
-              disabled={!(appInfo.mode === 'workflow' || appInfo.mode === 'advanced-chat')}
-              defaultValue={inputInfo.show_workflow_steps}
-              onChange={v => setInputInfo({ ...inputInfo, show_workflow_steps: v })}
+            <AppIcon
+              size='xxl'
+              onClick={() => { setShowAppIconPicker(true) }}
+              className='mt-2 cursor-pointer'
+              iconType={appIcon.type}
+              icon={appIcon.type === 'image' ? appIcon.fileId : appIcon.icon}
+              background={appIcon.type === 'image' ? undefined : appIcon.background}
+              imageUrl={appIcon.type === 'image' ? appIcon.url : undefined}
             />
           </div>
-          <p className='body-xs-regular text-gray-500'>{t(`${prefixSettings}.workflow.showDesc`)}</p>
-        </div>
-
-        {isChat && <> <div className={`mt-8 font-medium ${s.settingTitle} text-gray-900`}>{t(`${prefixSettings}.chatColorTheme`)}</div>
-          <p className={`mt-1 ${s.settingsTip} text-gray-500`}>{t(`${prefixSettings}.chatColorThemeDesc`)}</p>
-          <Input
-            className='mt-2 h-10'
-            value={inputInfo.chatColorTheme ?? ''}
-            onChange={onChange('chatColorTheme')}
-            placeholder='E.g #A020F0'
-          />
-          <div className="mt-1 flex justify-between items-center">
-            <p className={`ml-2 ${s.settingsTip} text-gray-500`}>{t(`${prefixSettings}.chatColorThemeInverted`)}</p>
-            <Switch defaultValue={inputInfo.chatColorThemeInverted} onChange={v => setInputInfo({ ...inputInfo, chatColorThemeInverted: v })}></Switch>
+          {/* description */}
+          <div className='relative'>
+            <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.webDesc`)}</div>
+            <Textarea
+              className='mt-1'
+              value={inputInfo.desc}
+              onChange={e => onDesChange(e.target.value)}
+              placeholder={t(`${prefixSettings}.webDescPlaceholder`) as string}
+            />
+            <p className={cn('pb-0.5 text-text-tertiary body-xs-regular')}>{t(`${prefixSettings}.webDescTip`)}</p>
           </div>
-        </>}
-        {systemFeatures.enable_web_sso_switch_component && <div className='w-full mt-8'>
-          <p className='system-xs-medium text-gray-500'>{t(`${prefixSettings}.sso.label`)}</p>
-          <div className='flex justify-between items-center'>
-            <div className='font-medium system-sm-semibold flex-grow text-gray-900'>{t(`${prefixSettings}.sso.title`)}</div>
-            <Tooltip
-              disabled={systemFeatures.sso_enforced_for_web}
-              popupContent={
-                <div className='w-[180px]'>{t(`${prefixSettings}.sso.tooltip`)}</div>
-              }
-              asChild={false}
-            >
-              <Switch disabled={!systemFeatures.sso_enforced_for_web || !isCurrentWorkspaceEditor} defaultValue={systemFeatures.sso_enforced_for_web && inputInfo.enable_sso} onChange={v => setInputInfo({ ...inputInfo, enable_sso: v })}></Switch>
-            </Tooltip>
-          </div>
-          <p className='body-xs-regular text-gray-500'>{t(`${prefixSettings}.sso.description`)}</p>
-        </div>}
-        {!isShowMore && <div className='w-full cursor-pointer mt-8' onClick={() => setIsShowMore(true)}>
-          <div className='flex justify-between'>
-            <div className={`font-medium ${s.settingTitle} flex-grow text-gray-900`}>{t(`${prefixSettings}.more.entry`)}</div>
-            <div className='flex-shrink-0 w-4 h-4 text-gray-500'>
-              <ChevronRightIcon />
+          <Divider className="h-px my-0" />
+          {/* answer icon */}
+          {isChat && (
+            <div className='w-full'>
+              <div className='flex justify-between items-center'>
+                <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t('app.answerIcon.title')}</div>
+                <Switch
+                  defaultValue={inputInfo.use_icon_as_answer_icon}
+                  onChange={v => setInputInfo({ ...inputInfo, use_icon_as_answer_icon: v })}
+                />
+              </div>
+              <p className='pb-0.5 text-text-tertiary body-xs-regular'>{t('app.answerIcon.description')}</p>
             </div>
-          </div>
-          <p className={`mt-1 ${s.policy} text-gray-500`}>{t(`${prefixSettings}.more.copyright`)} & {t(`${prefixSettings}.more.privacyPolicy`)}</p>
-        </div>}
-        {isShowMore && <>
-          <hr className='w-full mt-6' />
-          <div className={`mt-6 font-medium ${s.settingTitle} text-gray-900`}>{t(`${prefixSettings}.more.copyright`)}</div>
-          <Input
-            className='mt-2 h-10'
-            value={inputInfo.copyright}
-            onChange={onChange('copyright')}
-            placeholder={t(`${prefixSettings}.more.copyRightPlaceholder`) as string}
-          />
-          <div className={`mt-8 font-medium ${s.settingTitle} text-gray-900`}>{t(`${prefixSettings}.more.privacyPolicy`)}</div>
-          <p className={`mt-1 ${s.settingsTip} text-gray-500`}>
-            <Trans
-              i18nKey={`${prefixSettings}.more.privacyPolicyTip`}
-              components={{ privacyPolicyLink: <Link href={'https://docs.dify.ai/user-agreement/privacy-policy'} target='_blank' rel='noopener noreferrer' className='text-primary-600' /> }}
+          )}
+          {/* language */}
+          <div className='flex items-center'>
+            <div className={cn('grow py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.language`)}</div>
+            <SimpleSelect
+              wrapperClassName='w-[200px]'
+              items={languages.filter(item => item.supported)}
+              defaultValue={language}
+              onSelect={item => setLanguage(item.value as Language)}
             />
-          </p>
-          <Input
-            className='mt-2 h-10'
-            value={inputInfo.privacyPolicy}
-            onChange={onChange('privacyPolicy')}
-            placeholder={t(`${prefixSettings}.more.privacyPolicyPlaceholder`) as string}
-          />
-          <div className={`mt-8 font-medium ${s.settingTitle} text-gray-900`}>{t(`${prefixSettings}.more.customDisclaimer`)}</div>
-          <p className={`mt-1 ${s.settingsTip} text-gray-500`}>{t(`${prefixSettings}.more.customDisclaimerTip`)}</p>
-          <Input
-            className='mt-2 h-10'
-            value={inputInfo.customDisclaimer}
-            onChange={onChange('customDisclaimer')}
-            placeholder={t(`${prefixSettings}.more.customDisclaimerPlaceholder`) as string}
-          />
-        </>}
-        <div className='mt-10 flex justify-end'>
+          </div>
+          {/* theme color */}
+          {isChat && (
+            <div className='flex items-center'>
+              <div className='grow'>
+                <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.chatColorTheme`)}</div>
+                <div className='pb-0.5 body-xs-regular text-text-tertiary'>{t(`${prefixSettings}.chatColorThemeDesc`)}</div>
+              </div>
+              <div className='shrink-0'>
+                <Input
+                  className='mb-1 w-[200px]'
+                  value={inputInfo.chatColorTheme ?? ''}
+                  onChange={onChange('chatColorTheme')}
+                  placeholder='E.g #A020F0'
+                />
+                <div className='flex justify-between items-center'>
+                  <p className={cn('body-xs-regular text-text-tertiary')}>{t(`${prefixSettings}.chatColorThemeInverted`)}</p>
+                  <Switch defaultValue={inputInfo.chatColorThemeInverted} onChange={v => setInputInfo({ ...inputInfo, chatColorThemeInverted: v })}></Switch>
+                </div>
+              </div>
+            </div>
+          )}
+          {/* workflow detail */}
+          <div className='w-full'>
+            <div className='flex justify-between items-center'>
+              <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.workflow.subTitle`)}</div>
+              <Switch
+                disabled={!(appInfo.mode === 'workflow' || appInfo.mode === 'advanced-chat')}
+                defaultValue={inputInfo.show_workflow_steps}
+                onChange={v => setInputInfo({ ...inputInfo, show_workflow_steps: v })}
+              />
+            </div>
+            <p className='pb-0.5 text-text-tertiary body-xs-regular'>{t(`${prefixSettings}.workflow.showDesc`)}</p>
+          </div>
+          {/* SSO */}
+          {systemFeatures.enable_web_sso_switch_component && (
+            <>
+              <Divider className="h-px my-0" />
+              <div className='w-full'>
+                <p className='mb-1 system-xs-medium-uppercase text-text-tertiary'>{t(`${prefixSettings}.sso.label`)}</p>
+                <div className='flex justify-between items-center'>
+                  <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.sso.title`)}</div>
+                  <Tooltip
+                    disabled={systemFeatures.sso_enforced_for_web}
+                    popupContent={
+                      <div className='w-[180px]'>{t(`${prefixSettings}.sso.tooltip`)}</div>
+                    }
+                    asChild={false}
+                  >
+                    <Switch disabled={!systemFeatures.sso_enforced_for_web || !isCurrentWorkspaceEditor} defaultValue={systemFeatures.sso_enforced_for_web && inputInfo.enable_sso} onChange={v => setInputInfo({ ...inputInfo, enable_sso: v })}></Switch>
+                  </Tooltip>
+                </div>
+                <p className='pb-0.5 body-xs-regular text-text-tertiary'>{t(`${prefixSettings}.sso.description`)}</p>
+              </div>
+            </>
+          )}
+          {/* more settings switch */}
+          <Divider className="h-px my-0" />
+          {!isShowMore && (
+            <div className='flex items-center cursor-pointer' onClick={() => setIsShowMore(true)}>
+              <div className='grow'>
+                <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.entry`)}</div>
+                <p className={cn('pb-0.5 text-text-tertiary body-xs-regular')}>{t(`${prefixSettings}.more.copyRightPlaceholder`)} & {t(`${prefixSettings}.more.privacyPolicyPlaceholder`)}</p>
+              </div>
+              <RiArrowRightSLine className='shrink-0 ml-1 w-4 h-4 text-text-secondary'/>
+            </div>
+          )}
+          {/* more settings */}
+          {isShowMore && (
+            <>
+              {/* copyright */}
+              <div className='w-full'>
+                <div className='flex items-center'>
+                  <div className='grow flex items-center'>
+                    <div className={cn('mr-1 py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.copyright`)}</div>
+                    {/* upgrade button */}
+                    {enableBilling && isFreePlan && (
+                      <div className='select-none h-[18px]'>
+                        <PremiumBadge size='s' color='blue' allowHover={true} onClick={handlePlanClick}>
+                          <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
+                          <div className='system-xs-medium'>
+                            <span className='p-1'>
+                              {t('billing.upgradeBtn.encourageShort')}
+                            </span>
+                          </div>
+                        </PremiumBadge>
+                      </div>
+                    )}
+                  </div>
+                  <Tooltip
+                    disabled={!isFreePlan}
+                    popupContent={
+                      <div className='w-[260px]'>{t(`${prefixSettings}.more.copyrightTooltip`)}</div>
+                    }
+                    asChild={false}
+                  >
+                    <Switch
+                      disabled={isFreePlan}
+                      defaultValue={inputInfo.copyrightSwitchValue}
+                      onChange={v => setInputInfo({ ...inputInfo, copyrightSwitchValue: v })}
+                    />
+                  </Tooltip>
+                </div>
+                <p className='pb-0.5 text-text-tertiary body-xs-regular'>{t(`${prefixSettings}.more.copyrightTip`)}</p>
+                {inputInfo.copyrightSwitchValue && (
+                  <Input
+                    className='mt-2 h-10'
+                    value={inputInfo.copyright}
+                    onChange={onChange('copyright')}
+                    placeholder={t(`${prefixSettings}.more.copyRightPlaceholder`) as string}
+                  />
+                )}
+              </div>
+              {/* privacy policy */}
+              <div className='w-full'>
+                <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.privacyPolicy`)}</div>
+                <p className={cn('pb-0.5 body-xs-regular text-text-tertiary')}>
+                  <Trans
+                    i18nKey={`${prefixSettings}.more.privacyPolicyTip`}
+                    components={{ privacyPolicyLink: <Link href={'https://docs.dify.ai/user-agreement/privacy-policy'} target='_blank' rel='noopener noreferrer' className='text-text-accent' /> }}
+                  />
+                </p>
+                <Input
+                  className='mt-1'
+                  value={inputInfo.privacyPolicy}
+                  onChange={onChange('privacyPolicy')}
+                  placeholder={t(`${prefixSettings}.more.privacyPolicyPlaceholder`) as string}
+                />
+              </div>
+              {/* custom disclaimer */}
+              <div className='w-full'>
+                <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.customDisclaimer`)}</div>
+                <p className={cn('pb-0.5 body-xs-regular text-text-tertiary')}>{t(`${prefixSettings}.more.customDisclaimerTip`)}</p>
+                <Textarea
+                  className='mt-1'
+                  value={inputInfo.customDisclaimer}
+                  onChange={onChange('customDisclaimer')}
+                  placeholder={t(`${prefixSettings}.more.customDisclaimerPlaceholder`) as string}
+                />
+              </div>
+            </>
+          )}
+        </div>
+        {/* footer */}
+        <div className='p-6 pt-5 flex justify-end'>
           <Button className='mr-2' onClick={onHide}>{t('common.operation.cancel')}</Button>
           <Button variant='primary' onClick={onClickSave} loading={saveLoading}>{t('common.operation.save')}</Button>
         </div>
-        {showAppIconPicker && <AppIconPicker
+      </Modal >
+      {showAppIconPicker && (
+        <AppIconPicker
           onSelect={(payload) => {
             setAppIcon(payload)
             setShowAppIconPicker(false)
@@ -337,8 +451,8 @@ const SettingsModal: FC<ISettingsModalProps> = ({
               : { type: 'emoji', icon, background: icon_background! })
             setShowAppIconPicker(false)
           }}
-        />}
-      </Modal >
+        />
+      )}
     </>
 
   )
diff --git a/web/app/components/app/overview/settings/style.module.css b/web/app/components/app/overview/settings/style.module.css
deleted file mode 100644
index 4a3e5a483d..0000000000
--- a/web/app/components/app/overview/settings/style.module.css
+++ /dev/null
@@ -1,18 +0,0 @@
-.settingsModal {
-	max-width: 32.5rem !important;
-}
-
-.settingTitle {
-	line-height: 21px;
-	font-size: 0.875rem;
-}
-
-.settingsTip {
-	line-height: 1.125rem;
-	font-size: 0.75rem;
-}
-
-.policy {
-	font-size: 0.75rem;
-	line-height: 1.125rem;
-}
\ No newline at end of file
diff --git a/web/app/components/base/chat/chat-with-history/sidebar/index.tsx b/web/app/components/base/chat/chat-with-history/sidebar/index.tsx
index 17a2751f11..69716f9ed8 100644
--- a/web/app/components/base/chat/chat-with-history/sidebar/index.tsx
+++ b/web/app/components/base/chat/chat-with-history/sidebar/index.tsx
@@ -115,9 +115,11 @@ const Sidebar = () => {
           )
         }
       </div>
-      <div className='px-4 pb-4 text-xs text-gray-400'>
-        © {appData?.site.copyright || appData?.site.title} {(new Date()).getFullYear()}
-      </div>
+      {appData?.site.copyright && (
+        <div className='px-4 pb-4 text-xs text-gray-400'>
+          © {(new Date()).getFullYear()} {appData?.site.copyright}
+        </div>
+      )}
       {!!showConfirm && (
         <Confirm
           title={t('share.chat.deleteConversation.title')}
diff --git a/web/app/components/base/icons/assets/public/common/highlight.svg b/web/app/components/base/icons/assets/public/common/highlight.svg
new file mode 100644
index 0000000000..f4b809040b
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/common/highlight.svg
@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="46" height="24" viewBox="0 0 46 24" fill="none">
+  <path opacity="0.5" d="M-6.5 8C-6.5 3.58172 -2.91828 0 1.5 0H45.5L33.0248 24H1.49999C-2.91829 24 -6.5 20.4183 -6.5 16V8Z" fill="url(#paint0_linear_6333_42118)"/>
+  <defs>
+    <linearGradient id="paint0_linear_6333_42118" x1="1.81679" y1="5.47784e-07" x2="101.257" y2="30.3866" gradientUnits="userSpaceOnUse">
+      <stop stop-color="white" stop-opacity="0.12"/>
+      <stop offset="1" stop-color="white" stop-opacity="0.3"/>
+    </linearGradient>
+  </defs>
+</svg>
\ No newline at end of file
diff --git a/web/app/components/base/icons/assets/public/common/sparkles-soft.svg b/web/app/components/base/icons/assets/public/common/sparkles-soft.svg
new file mode 100644
index 0000000000..37f3072df7
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/common/sparkles-soft.svg
@@ -0,0 +1,6 @@
+<svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="sparkles-soft">
+<path id="Vector" opacity="0.5" d="M10.9963 1.36798C10.9839 1.25339 10.8909 1.16677 10.7802 1.16666C10.6695 1.16654 10.5763 1.25295 10.5636 1.36752C10.5045 1.90085 10.3525 2.26673 10.1143 2.5149C9.87599 2.76307 9.52476 2.92145 9.01275 2.98296C8.90277 2.99618 8.81983 3.09324 8.81995 3.20856C8.82006 3.32388 8.90322 3.42076 9.0132 3.43373C9.51653 3.49312 9.87583 3.65148 10.1201 3.90135C10.3631 4.14986 10.518 4.51523 10.563 5.04321C10.573 5.16035 10.6673 5.25012 10.7802 5.24999C10.8931 5.24986 10.9872 5.15987 10.9969 5.0427C11.0401 4.52364 11.1949 4.15004 11.4394 3.89528C11.684 3.64052 12.0426 3.47926 12.5409 3.43433C12.6534 3.42419 12.7398 3.32619 12.7399 3.20858C12.7401 3.09097 12.6539 2.99277 12.5414 2.98236C12.0346 2.93546 11.6838 2.77407 11.4452 2.52098C11.2054 2.2665 11.0533 1.89229 10.9963 1.36798Z" fill="#F5F8FF"/>
+<path id="Vector_2" d="M7.13646 2.85102C7.10442 2.55638 6.8653 2.33365 6.5806 2.33334C6.29595 2.33304 6.05633 2.55526 6.02374 2.84984C5.87186 4.22127 5.48089 5.1621 4.86827 5.80025C4.25565 6.43838 3.35245 6.84566 2.03587 7.00386C1.75307 7.03781 1.53975 7.28742 1.54004 7.58393C1.54033 7.88049 1.75415 8.12958 2.03701 8.16294C3.33132 8.31566 4.25509 8.72289 4.88328 9.36543C5.50807 10.0045 5.90647 10.9439 6.02222 12.3016C6.04793 12.6029 6.29035 12.8337 6.58066 12.8333C6.87102 12.833 7.11294 12.6016 7.13797 12.3003C7.24885 10.9656 7.64695 10.0049 8.27583 9.34979C8.90477 8.69471 9.82698 8.28002 11.1083 8.16452C11.3976 8.13844 11.6197 7.88644 11.62 7.58399C11.6204 7.28159 11.3988 7.02906 11.1096 7.00229C9.8062 6.88171 8.90432 6.46673 8.29084 5.81589C7.674 5.16152 7.28306 4.19926 7.13646 2.85102Z" fill="#F5F8FF"/>
+</g>
+</svg>
diff --git a/web/app/components/base/icons/src/public/common/Highlight.json b/web/app/components/base/icons/src/public/common/Highlight.json
new file mode 100644
index 0000000000..d18386eb01
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Highlight.json
@@ -0,0 +1,67 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"xmlns": "http://www.w3.org/2000/svg",
+			"width": "46",
+			"height": "24",
+			"viewBox": "0 0 46 24",
+			"fill": "none"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"opacity": "0.5",
+					"d": "M-6.5 8C-6.5 3.58172 -2.91828 0 1.5 0H45.5L33.0248 24H1.49999C-2.91829 24 -6.5 20.4183 -6.5 16V8Z",
+					"fill": "url(#paint0_linear_6333_42118)"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {},
+				"children": [
+					{
+						"type": "element",
+						"name": "linearGradient",
+						"attributes": {
+							"id": "paint0_linear_6333_42118",
+							"x1": "1.81679",
+							"y1": "5.47784e-07",
+							"x2": "101.257",
+							"y2": "30.3866",
+							"gradientUnits": "userSpaceOnUse"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"stop-color": "white",
+									"stop-opacity": "0.12"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "1",
+									"stop-color": "white",
+									"stop-opacity": "0.3"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "Highlight"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Highlight.tsx b/web/app/components/base/icons/src/public/common/Highlight.tsx
new file mode 100644
index 0000000000..379f38f78e
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Highlight.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Highlight.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Highlight'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/common/SparklesSoft.json b/web/app/components/base/icons/src/public/common/SparklesSoft.json
new file mode 100644
index 0000000000..e22cec82a3
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/SparklesSoft.json
@@ -0,0 +1,47 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "14",
+			"height": "14",
+			"viewBox": "0 0 14 14",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "sparkles-soft"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"opacity": "0.5",
+							"d": "M10.9963 1.36798C10.9839 1.25339 10.8909 1.16677 10.7802 1.16666C10.6695 1.16654 10.5763 1.25295 10.5636 1.36752C10.5045 1.90085 10.3525 2.26673 10.1143 2.5149C9.87599 2.76307 9.52476 2.92145 9.01275 2.98296C8.90277 2.99618 8.81983 3.09324 8.81995 3.20856C8.82006 3.32388 8.90322 3.42076 9.0132 3.43373C9.51653 3.49312 9.87583 3.65148 10.1201 3.90135C10.3631 4.14986 10.518 4.51523 10.563 5.04321C10.573 5.16035 10.6673 5.25012 10.7802 5.24999C10.8931 5.24986 10.9872 5.15987 10.9969 5.0427C11.0401 4.52364 11.1949 4.15004 11.4394 3.89528C11.684 3.64052 12.0426 3.47926 12.5409 3.43433C12.6534 3.42419 12.7398 3.32619 12.7399 3.20858C12.7401 3.09097 12.6539 2.99277 12.5414 2.98236C12.0346 2.93546 11.6838 2.77407 11.4452 2.52098C11.2054 2.2665 11.0533 1.89229 10.9963 1.36798Z",
+							"fill": "#F5F8FF"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_2",
+							"d": "M7.13646 2.85102C7.10442 2.55638 6.8653 2.33365 6.5806 2.33334C6.29595 2.33304 6.05633 2.55526 6.02374 2.84984C5.87186 4.22127 5.48089 5.1621 4.86827 5.80025C4.25565 6.43838 3.35245 6.84566 2.03587 7.00386C1.75307 7.03781 1.53975 7.28742 1.54004 7.58393C1.54033 7.88049 1.75415 8.12958 2.03701 8.16294C3.33132 8.31566 4.25509 8.72289 4.88328 9.36543C5.50807 10.0045 5.90647 10.9439 6.02222 12.3016C6.04793 12.6029 6.29035 12.8337 6.58066 12.8333C6.87102 12.833 7.11294 12.6016 7.13797 12.3003C7.24885 10.9656 7.64695 10.0049 8.27583 9.34979C8.90477 8.69471 9.82698 8.28002 11.1083 8.16452C11.3976 8.13844 11.6197 7.88644 11.62 7.58399C11.6204 7.28159 11.3988 7.02906 11.1096 7.00229C9.8062 6.88171 8.90432 6.46673 8.29084 5.81589C7.674 5.16152 7.28306 4.19926 7.13646 2.85102Z",
+							"fill": "#F5F8FF"
+						},
+						"children": []
+					}
+				]
+			}
+		]
+	},
+	"name": "SparklesSoft"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/SparklesSoft.tsx b/web/app/components/base/icons/src/public/common/SparklesSoft.tsx
new file mode 100644
index 0000000000..dd422c400f
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/SparklesSoft.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './SparklesSoft.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'SparklesSoft'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/common/index.ts b/web/app/components/base/icons/src/public/common/index.ts
index e581cff751..788d275f92 100644
--- a/web/app/components/base/icons/src/public/common/index.ts
+++ b/web/app/components/base/icons/src/public/common/index.ts
@@ -2,9 +2,11 @@ export { default as D } from './D'
 export { default as DiagonalDividingLine } from './DiagonalDividingLine'
 export { default as Dify } from './Dify'
 export { default as Github } from './Github'
+export { default as Highlight } from './Highlight'
 export { default as Line3 } from './Line3'
 export { default as Lock } from './Lock'
 export { default as MessageChatSquare } from './MessageChatSquare'
 export { default as MultiPathRetrieval } from './MultiPathRetrieval'
 export { default as NTo1Retrieval } from './NTo1Retrieval'
 export { default as Notion } from './Notion'
+export { default as SparklesSoft } from './SparklesSoft'
diff --git a/web/app/components/base/premium-badge/index.css b/web/app/components/base/premium-badge/index.css
new file mode 100644
index 0000000000..be8f9e6ae6
--- /dev/null
+++ b/web/app/components/base/premium-badge/index.css
@@ -0,0 +1,48 @@
+@tailwind components;
+
+@layer components {
+  .premium-badge {
+    @apply inline-flex justify-center items-center rounded-full border box-border border-[rgba(255,255,255,0.8)] text-white
+  }
+
+  /* m is for the regular button */
+  .premium-badge-m {
+    @apply border shadow-lg !p-1 h-6 w-auto
+  }
+
+  .premium-badge-s {
+    @apply border-[0.5px] shadow-xs !px-1 !py-[3px] h-[18px] w-auto
+  }
+
+  .premium-badge-blue {
+    @apply bg-gradient-to-r from-[#5289ffe6] to-[#155aefe6] bg-util-colors-blue-blue-200
+  }
+
+  .premium-badge-indigo {
+    @apply bg-gradient-to-r from-[#8098f9e6] to-[#444ce7e6] bg-util-colors-indigo-indigo-200
+  }
+
+  .premium-badge-gray {
+    @apply bg-gradient-to-r from-[#98a2b2e6] to-[#676f83e6] bg-util-colors-gray-gray-200
+  }
+
+  .premium-badge-orange {
+    @apply bg-gradient-to-r from-[#ff692ee6] to-[#e04f16e6] bg-util-colors-orange-orange-200
+  }
+
+  .premium-badge-blue.allowHover:hover {
+    @apply bg-gradient-to-r from-[#296dffe6] to-[#004aebe6] bg-util-colors-blue-blue-300 cursor-pointer
+  }
+
+  .premium-badge-indigo.allowHover:hover {
+    @apply bg-gradient-to-r from-[#6172f3e6] to-[#2d31a6e6] bg-util-colors-indigo-indigo-300 cursor-pointer
+  }
+
+  .premium-badge-gray.allowHover:hover {
+    @apply bg-gradient-to-r from-[#676f83e6] to-[#354052e6] bg-util-colors-gray-gray-300 cursor-pointer
+  }
+
+  .premium-badge-orange.allowHover:hover {
+    @apply bg-gradient-to-r from-[#ff4405e6] to-[#b93815e6] bg-util-colors-orange-orange-300 cursor-pointer
+  }
+}
\ No newline at end of file
diff --git a/web/app/components/base/premium-badge/index.tsx b/web/app/components/base/premium-badge/index.tsx
new file mode 100644
index 0000000000..5ab1f80a83
--- /dev/null
+++ b/web/app/components/base/premium-badge/index.tsx
@@ -0,0 +1,78 @@
+import type { CSSProperties, ReactNode } from 'react'
+import React from 'react'
+import { type VariantProps, cva } from 'class-variance-authority'
+import { Highlight } from '@/app/components/base/icons/src/public/common'
+import classNames from '@/utils/classnames'
+import './index.css'
+
+const PremiumBadgeVariants = cva(
+  'premium-badge',
+  {
+    variants: {
+      size: {
+        s: 'premium-badge-s',
+        m: 'premium-badge-m',
+      },
+      color: {
+        blue: 'premium-badge-blue',
+        indigo: 'premium-badge-indigo',
+        gray: 'premium-badge-gray',
+        orange: 'premium-badge-orange',
+      },
+      allowHover: {
+        true: 'allowHover',
+        false: '',
+      },
+    },
+    defaultVariants: {
+      size: 'm',
+      color: 'blue',
+      allowHover: false,
+    },
+  },
+)
+
+type PremiumBadgeProps = {
+  size?: 's' | 'm'
+  color?: 'blue' | 'indigo' | 'gray' | 'orange'
+  allowHover?: boolean
+  styleCss?: CSSProperties
+  children?: ReactNode
+} & React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof PremiumBadgeVariants>
+
+const PremiumBadge: React.FC<PremiumBadgeProps> = ({
+  className,
+  size,
+  color,
+  allowHover,
+  styleCss,
+  children,
+  ...props
+}) => {
+  return (
+    <div
+      className={classNames(
+        PremiumBadgeVariants({ size, color, allowHover, className }),
+        'relative text-nowrap',
+      )}
+      style={styleCss}
+      {...props}
+    >
+      {children}
+      <Highlight
+        className={classNames(
+          'absolute top-0 opacity-50 hover:opacity-80',
+          size === 's' ? 'h-4.5 w-12' : 'h-6 w-12',
+        )}
+        style={{
+          right: '50%',
+          transform: 'translateX(10%)',
+        }}
+      />
+    </div>
+  )
+}
+PremiumBadge.displayName = 'PremiumBadge'
+
+export default PremiumBadge
+export { PremiumBadge, PremiumBadgeVariants }
diff --git a/web/app/components/share/text-generation/index.tsx b/web/app/components/share/text-generation/index.tsx
index 16571b6451..c54601aa7c 100644
--- a/web/app/components/share/text-generation/index.tsx
+++ b/web/app/components/share/text-generation/index.tsx
@@ -644,10 +644,12 @@ const TextGeneration: FC<IMainProps> = ({
             isInstalledApp ? 'left-[248px]' : 'left-8',
             'fixed  bottom-4  flex space-x-2 text-gray-400 font-normal text-xs',
           )}>
-            <div className="">© {siteInfo.copyright || siteInfo.title} {(new Date()).getFullYear()}</div>
+            {siteInfo.copyright && (
+              <div className="">© {(new Date()).getFullYear()} {siteInfo.copyright}</div>
+            )}
             {siteInfo.privacy_policy && (
               <>
-                <div>·</div>
+                {siteInfo.copyright && <div>·</div>}
                 <div>{t('share.chat.privacyPolicyLeft')}
                   <a
                     className='text-gray-500 px-1'
diff --git a/web/i18n/en-US/app-overview.ts b/web/i18n/en-US/app-overview.ts
index 7c41d456bb..15801d1504 100644
--- a/web/i18n/en-US/app-overview.ts
+++ b/web/i18n/en-US/app-overview.ts
@@ -38,7 +38,8 @@ const translation = {
       preUseReminder: 'Please enable WebApp before continuing.',
       settings: {
         entry: 'Settings',
-        title: 'WebApp Settings',
+        title: 'Web App Settings',
+        modalTip: 'Client-side web app settings. ',
         webName: 'WebApp Name',
         webDesc: 'WebApp Description',
         webDescTip: 'This text will be displayed on the client side, providing basic guidance on how to use the application',
@@ -56,7 +57,7 @@ const translation = {
         chatColorThemeInverted: 'Inverted',
         invalidHexMessage: 'Invalid hex value',
         sso: {
-          label: 'SSO Authentication',
+          label: 'SSO Enforcement',
           title: 'WebApp SSO',
           description: 'All users are required to login with SSO before using WebApp',
           tooltip: 'Contact the administrator to enable WebApp SSO',
@@ -64,6 +65,8 @@ const translation = {
         more: {
           entry: 'Show more settings',
           copyright: 'Copyright',
+          copyrightTip: 'Display copyright information in the webapp',
+          copyrightTooltip: 'Please upgrade to Professional plan or above',
           copyRightPlaceholder: 'Enter the name of the author or organization',
           privacyPolicy: 'Privacy Policy',
           privacyPolicyPlaceholder: 'Enter the privacy policy link',
diff --git a/web/i18n/zh-Hans/app-overview.ts b/web/i18n/zh-Hans/app-overview.ts
index 4167337e10..a337058d07 100644
--- a/web/i18n/zh-Hans/app-overview.ts
+++ b/web/i18n/zh-Hans/app-overview.ts
@@ -39,6 +39,7 @@ const translation = {
       settings: {
         entry: '设置',
         title: 'WebApp 设置',
+        modalTip: '客户端 WebApp 设置。',
         webName: 'WebApp 名称',
         webDesc: 'WebApp 描述',
         webDescTip: '以下文字将展示在客户端中，对应用进行说明和使用上的基本引导',
@@ -64,6 +65,8 @@ const translation = {
         more: {
           entry: '展示更多设置',
           copyright: '版权',
+          copyrightTip: '在 WebApp 中展示版权信息',
+          copyrightTooltip: '请升级到专业版或者更高',
           copyRightPlaceholder: '请输入作者或组织名称',
           privacyPolicy: '隐私政策',
           privacyPolicyPlaceholder: '请输入隐私政策链接',

From 0800021a2d5a033a9cbcb51312e2dcb94b9e31a6 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Tue, 14 Jan 2025 13:35:23 +0800
Subject: [PATCH 029/217] chore: translate i18n files (#12708)

Co-authored-by: JzoNgKVO <27049666+JzoNgKVO@users.noreply.github.com>
---
 web/i18n/de-DE/app-overview.ts   | 3 +++
 web/i18n/de-DE/app.ts            | 4 ++++
 web/i18n/es-ES/app-overview.ts   | 3 +++
 web/i18n/es-ES/app.ts            | 4 ++++
 web/i18n/fa-IR/app-overview.ts   | 3 +++
 web/i18n/fa-IR/app.ts            | 4 ++++
 web/i18n/fr-FR/app-overview.ts   | 3 +++
 web/i18n/fr-FR/app.ts            | 4 ++++
 web/i18n/hi-IN/app-overview.ts   | 3 +++
 web/i18n/hi-IN/app.ts            | 4 ++++
 web/i18n/it-IT/app-overview.ts   | 3 +++
 web/i18n/it-IT/app.ts            | 4 ++++
 web/i18n/ja-JP/app-overview.ts   | 3 +++
 web/i18n/ja-JP/app.ts            | 4 ++++
 web/i18n/ko-KR/app-overview.ts   | 3 +++
 web/i18n/ko-KR/app.ts            | 4 ++++
 web/i18n/pl-PL/app-overview.ts   | 3 +++
 web/i18n/pl-PL/app.ts            | 4 ++++
 web/i18n/pt-BR/app-overview.ts   | 3 +++
 web/i18n/pt-BR/app.ts            | 4 ++++
 web/i18n/ro-RO/app-overview.ts   | 3 +++
 web/i18n/ro-RO/app.ts            | 4 ++++
 web/i18n/ru-RU/app-overview.ts   | 3 +++
 web/i18n/ru-RU/app.ts            | 4 ++++
 web/i18n/sl-SI/app-overview.ts   | 3 +++
 web/i18n/sl-SI/app.ts            | 4 ++++
 web/i18n/th-TH/app-overview.ts   | 3 +++
 web/i18n/th-TH/app.ts            | 4 ++++
 web/i18n/tr-TR/app-overview.ts   | 3 +++
 web/i18n/tr-TR/app.ts            | 4 ++++
 web/i18n/uk-UA/app-overview.ts   | 3 +++
 web/i18n/uk-UA/app.ts            | 4 ++++
 web/i18n/vi-VN/app-overview.ts   | 3 +++
 web/i18n/vi-VN/app.ts            | 4 ++++
 web/i18n/zh-Hant/app-overview.ts | 3 +++
 web/i18n/zh-Hant/app.ts          | 4 ++++
 36 files changed, 126 insertions(+)

diff --git a/web/i18n/de-DE/app-overview.ts b/web/i18n/de-DE/app-overview.ts
index a44baec82e..7cc82dd38a 100644
--- a/web/i18n/de-DE/app-overview.ts
+++ b/web/i18n/de-DE/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Benutzerdefinierte Haftungsausschluss',
           customDisclaimerPlaceholder: 'Geben Sie den benutzerdefinierten Haftungsausschluss-Text ein',
           customDisclaimerTip: 'Der ben userdefinierte Haftungsausschluss-Text wird auf der Clientseite angezeigt und bietet zusätzliche Informationen über die Anwendung',
+          copyrightTip: 'Copyright-Informationen in der Webapp anzeigen',
+          copyrightTooltip: 'Bitte führen Sie ein Upgrade auf den Professional-Plan oder höher durch',
         },
         sso: {
           title: 'WebApp-SSO',
@@ -72,6 +74,7 @@ const translation = {
           label: 'SSO-Authentifizierung',
           tooltip: 'Wenden Sie sich an den Administrator, um WebApp-SSO zu aktivieren',
         },
+        modalTip: 'Einstellungen für clientseitige Web-Apps.',
       },
       embedded: {
         entry: 'Eingebettet',
diff --git a/web/i18n/de-DE/app.ts b/web/i18n/de-DE/app.ts
index 4429db34bc..b403a59f2d 100644
--- a/web/i18n/de-DE/app.ts
+++ b/web/i18n/de-DE/app.ts
@@ -157,6 +157,10 @@ const translation = {
       removeConfirmContent: 'Die aktuelle Konfiguration wird verwendet. Das Entfernen wird die Nachverfolgungsfunktion ausschalten.',
     },
     view: 'Ansehen',
+    opik: {
+      description: 'Opik ist eine Open-Source-Plattform zum Bewerten, Testen und Überwachen von LLM-Anwendungen.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     descriptionInExplore: 'Gibt an, ob das WebApp-Symbol zum Ersetzen 🤖 in Explore verwendet werden soll',
diff --git a/web/i18n/es-ES/app-overview.ts b/web/i18n/es-ES/app-overview.ts
index 8beb7545dc..4b2769ca29 100644
--- a/web/i18n/es-ES/app-overview.ts
+++ b/web/i18n/es-ES/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Descargo de responsabilidad personalizado',
           customDisclaimerPlaceholder: 'Ingresa el texto de descargo de responsabilidad personalizado',
           customDisclaimerTip: 'El texto de descargo de responsabilidad personalizado se mostrará en el lado del cliente, proporcionando información adicional sobre la aplicación',
+          copyrightTip: 'Mostrar información de derechos de autor en la aplicación web',
+          copyrightTooltip: 'Actualice al plan Profesional o superior',
         },
         sso: {
           description: 'Todos los usuarios deben iniciar sesión con SSO antes de usar WebApp',
@@ -72,6 +74,7 @@ const translation = {
           label: 'Autenticación SSO',
           title: 'WebApp SSO',
         },
+        modalTip: 'Configuración de la aplicación web del lado del cliente.',
       },
       embedded: {
         entry: 'Incrustado',
diff --git a/web/i18n/es-ES/app.ts b/web/i18n/es-ES/app.ts
index 6d0cdf8fbd..068b3bed34 100644
--- a/web/i18n/es-ES/app.ts
+++ b/web/i18n/es-ES/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'La configuración actual está en uso, eliminarla desactivará la función de rastreo.',
     },
     view: 'Vista',
+    opik: {
+      description: 'Opik es una plataforma de código abierto para evaluar, probar y monitorear aplicaciones LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     title: 'Usar el icono de la aplicación web para reemplazar 🤖',
diff --git a/web/i18n/fa-IR/app-overview.ts b/web/i18n/fa-IR/app-overview.ts
index 8a0057fb82..6386362a54 100644
--- a/web/i18n/fa-IR/app-overview.ts
+++ b/web/i18n/fa-IR/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'سلب مسئولیت سفارشی',
           customDisclaimerPlaceholder: 'متن سلب مسئولیت سفارشی را وارد کنید',
           customDisclaimerTip: 'متن سلب مسئولیت سفارشی در سمت مشتری نمایش داده می‌شود و اطلاعات بیشتری درباره برنامه ارائه می‌دهد',
+          copyrightTip: 'نمایش اطلاعات حق نسخه برداری در برنامه وب',
+          copyrightTooltip: 'لطفا به طرح حرفه ای یا بالاتر ارتقا دهید',
         },
         sso: {
           title: 'WebApp SSO',
@@ -72,6 +74,7 @@ const translation = {
           description: 'همه کاربران باید قبل از استفاده از WebApp با SSO وارد شوند',
           tooltip: 'برای فعال کردن WebApp SSO با سرپرست تماس بگیرید',
         },
+        modalTip: 'تنظیمات برنامه وب سمت مشتری.',
       },
       embedded: {
         entry: 'جاسازی شده',
diff --git a/web/i18n/fa-IR/app.ts b/web/i18n/fa-IR/app.ts
index b387799fda..799fa2c641 100644
--- a/web/i18n/fa-IR/app.ts
+++ b/web/i18n/fa-IR/app.ts
@@ -159,6 +159,10 @@ const translation = {
       removeConfirmContent: 'پیکربندی فعلی در حال استفاده است، حذف آن ویژگی ردیابی را غیرفعال خواهد کرد.',
     },
     view: 'مشاهده',
+    opik: {
+      title: 'اوپیک',
+      description: 'Opik یک پلت فرم منبع باز برای ارزیابی، آزمایش و نظارت بر برنامه های LLM است.',
+    },
   },
   answerIcon: {
     descriptionInExplore: 'آیا از نماد WebApp برای جایگزینی 🤖 در Explore استفاده کنیم یا خیر',
diff --git a/web/i18n/fr-FR/app-overview.ts b/web/i18n/fr-FR/app-overview.ts
index 26d538e903..dfc87379d8 100644
--- a/web/i18n/fr-FR/app-overview.ts
+++ b/web/i18n/fr-FR/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Clause de non-responsabilité personnalisée',
           customDisclaimerPlaceholder: 'Entrez le texte de la clause de non-responsabilité personnalisée',
           customDisclaimerTip: 'Le texte de la clause de non-responsabilité personnalisée sera affiché côté client, fournissant des informations supplémentaires sur l\'application',
+          copyrightTip: 'Afficher les informations de copyright dans l’application web',
+          copyrightTooltip: 'Veuillez passer à l’abonnement professionnel ou supérieur',
         },
         sso: {
           label: 'Authentification SSO',
@@ -72,6 +74,7 @@ const translation = {
           tooltip: 'Contactez l’administrateur pour activer l’authentification unique WebApp',
           description: 'Tous les utilisateurs doivent se connecter avec l’authentification unique avant d’utiliser WebApp',
         },
+        modalTip: 'Paramètres de l’application web côté client.',
       },
       embedded: {
         entry: 'Intégré',
diff --git a/web/i18n/fr-FR/app.ts b/web/i18n/fr-FR/app.ts
index f55a548ae7..bdafc94bc6 100644
--- a/web/i18n/fr-FR/app.ts
+++ b/web/i18n/fr-FR/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'La configuration actuelle est en cours d\'utilisation, sa suppression désactivera la fonction de Traçage.',
     },
     view: 'Vue',
+    opik: {
+      description: 'Opik est une plate-forme open-source pour l’évaluation, le test et la surveillance des applications LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     description: 'S’il faut utiliser l’icône WebApp pour remplacer 🤖 dans l’application partagée',
diff --git a/web/i18n/hi-IN/app-overview.ts b/web/i18n/hi-IN/app-overview.ts
index b930fd413a..d7de14c6c6 100644
--- a/web/i18n/hi-IN/app-overview.ts
+++ b/web/i18n/hi-IN/app-overview.ts
@@ -71,6 +71,8 @@ const translation = {
           customDisclaimerPlaceholder: 'कस्टम अस्वीकरण टेक्स्ट दर्ज करें',
           customDisclaimerTip:
             'कस्टम अस्वीकरण टेक्स्ट क्लाइंट साइड पर प्रदर्शित होगा, जो एप्लिकेशन के बारे में अतिरिक्त जानकारी प्रदान करेगा',
+          copyrightTip: 'वेबपैप में कॉपीराइट जानकारी प्रदर्शित करें',
+          copyrightTooltip: 'कृपया व्यावसायिक योजना या उससे ऊपर के संस्करण में अपग्रेड करें',
         },
         sso: {
           title: 'वेबएप एसएसओ',
@@ -78,6 +80,7 @@ const translation = {
           description: 'WebApp का उपयोग करने से पहले सभी उपयोगकर्ताओं को SSO के साथ लॉगिन करना आवश्यक है',
           tooltip: 'WebApp SSO को सक्षम करने के लिए व्यवस्थापक से संपर्क करें',
         },
+        modalTip: 'क्लाइंट-साइड वेब अनुप्रयोग सेटिंग्स.',
       },
       embedded: {
         entry: 'एम्बेडेड',
diff --git a/web/i18n/hi-IN/app.ts b/web/i18n/hi-IN/app.ts
index d79d5b9771..93f6c3c8d6 100644
--- a/web/i18n/hi-IN/app.ts
+++ b/web/i18n/hi-IN/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'वर्तमान कॉन्फ़िगरेशन उपयोग में है, इसे हटाने से ट्रेसिंग सुविधा बंद हो जाएगी।',
     },
     view: 'देखना',
+    opik: {
+      title: 'ओपिक',
+      description: 'ओपिक एलएलएम अनुप्रयोगों के मूल्यांकन, परीक्षण और निगरानी के लिए एक ओपन-सोर्स प्लेटफॉर्म है।',
+    },
   },
   answerIcon: {
     title: 'बदलने 🤖 के लिए WebApp चिह्न का उपयोग करें',
diff --git a/web/i18n/it-IT/app-overview.ts b/web/i18n/it-IT/app-overview.ts
index cd545df6c6..7e4dce194b 100644
--- a/web/i18n/it-IT/app-overview.ts
+++ b/web/i18n/it-IT/app-overview.ts
@@ -73,6 +73,8 @@ const translation = {
             'Inserisci il testo del disclaimer personalizzato',
           customDisclaimerTip:
             'Il testo del disclaimer personalizzato verrà visualizzato sul lato client, fornendo informazioni aggiuntive sull\'applicazione',
+          copyrightTip: 'Visualizzare le informazioni sul copyright nella webapp',
+          copyrightTooltip: 'Si prega di eseguire l\'upgrade al piano Professional o superiore',
         },
         sso: {
           label: 'Autenticazione SSO',
@@ -80,6 +82,7 @@ const translation = {
           description: 'Tutti gli utenti devono effettuare l\'accesso con SSO prima di utilizzare WebApp',
           tooltip: 'Contattare l\'amministratore per abilitare l\'SSO di WebApp',
         },
+        modalTip: 'Impostazioni dell\'app Web lato client.',
       },
       embedded: {
         entry: 'Incorporato',
diff --git a/web/i18n/it-IT/app.ts b/web/i18n/it-IT/app.ts
index ec01516018..554ce89f11 100644
--- a/web/i18n/it-IT/app.ts
+++ b/web/i18n/it-IT/app.ts
@@ -167,6 +167,10 @@ const translation = {
         'La configurazione attuale è in uso, rimuovendola disattiverà la funzione di Tracciamento.',
     },
     view: 'Vista',
+    opik: {
+      description: 'Opik è una piattaforma open source per la valutazione, il test e il monitoraggio delle applicazioni LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     description: 'Se utilizzare l\'icona WebApp per la sostituzione 🤖 nell\'applicazione condivisa',
diff --git a/web/i18n/ja-JP/app-overview.ts b/web/i18n/ja-JP/app-overview.ts
index 1fcd9d21c4..0895d691c3 100644
--- a/web/i18n/ja-JP/app-overview.ts
+++ b/web/i18n/ja-JP/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'カスタム免責事項',
           customDisclaimerPlaceholder: '免責事項を入力してください',
           customDisclaimerTip: 'アプリケーションの使用に関する免責事項を提供します。',
+          copyrightTooltip: 'プロフェッショナルプラン以上にアップグレードしてください',
+          copyrightTip: 'ウェブアプリに著作権情報を表示する',
         },
         sso: {
           title: 'WebアプリのSSO',
@@ -72,6 +74,7 @@ const translation = {
           label: 'SSO認証',
           description: 'すべてのユーザーは、Webアプリを使用する前にSSOでログインする必要があります',
         },
+        modalTip: 'クライアント側の Web アプリ設定。',
       },
       embedded: {
         entry: '埋め込み',
diff --git a/web/i18n/ja-JP/app.ts b/web/i18n/ja-JP/app.ts
index 27d6bf6787..2c67d33b33 100644
--- a/web/i18n/ja-JP/app.ts
+++ b/web/i18n/ja-JP/app.ts
@@ -161,6 +161,10 @@ const translation = {
       removeConfirmContent: '現在の設定は使用中です。これを削除すると、トレース機能が無効になります。',
     },
     view: '見る',
+    opik: {
+      title: 'オピック',
+      description: 'Opik は、LLM アプリケーションを評価、テスト、監視するためのオープンソース プラットフォームです。',
+    },
   },
   answerIcon: {
     title: 'Webアプリアイコンを使用して🤖を置き換える',
diff --git a/web/i18n/ko-KR/app-overview.ts b/web/i18n/ko-KR/app-overview.ts
index b06e84587b..0acec73c44 100644
--- a/web/i18n/ko-KR/app-overview.ts
+++ b/web/i18n/ko-KR/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: '사용자 지정 면책 조항',
           customDisclaimerPlaceholder: '사용자 지정 면책 조항 텍스트를 입력합니다.',
           customDisclaimerTip: '사용자 지정 고지 사항 텍스트는 클라이언트 쪽에 표시되어 응용 프로그램에 대한 추가 정보를 제공합니다',
+          copyrightTip: '웹앱에 저작권 정보 표시',
+          copyrightTooltip: '프로페셔널 플랜 이상으로 업그레이드하세요.',
         },
         sso: {
           label: 'SSO 인증',
@@ -72,6 +74,7 @@ const translation = {
           tooltip: '관리자에게 문의하여 WebApp SSO를 사용하도록 설정합니다.',
           description: '모든 사용자는 WebApp을 사용하기 전에 SSO로 로그인해야 합니다.',
         },
+        modalTip: '클라이언트 쪽 웹앱 설정.',
       },
       embedded: {
         entry: '임베드',
diff --git a/web/i18n/ko-KR/app.ts b/web/i18n/ko-KR/app.ts
index 365fecc5ee..6e6f762d43 100644
--- a/web/i18n/ko-KR/app.ts
+++ b/web/i18n/ko-KR/app.ts
@@ -151,6 +151,10 @@ const translation = {
       removeConfirmContent: '현재 구성이 사용 중입니다. 제거하면 추적 기능이 꺼집니다.',
     },
     view: '보기',
+    opik: {
+      title: '오픽',
+      description: 'Opik은 LLM 애플리케이션을 평가, 테스트 및 모니터링하기 위한 오픈 소스 플랫폼입니다.',
+    },
   },
   answerIcon: {
     description: 'WebApp 아이콘을 사용하여 공유 응용 프로그램에서 바꿀🤖지 여부',
diff --git a/web/i18n/pl-PL/app-overview.ts b/web/i18n/pl-PL/app-overview.ts
index 9f8bcd34dc..7e25b014a0 100644
--- a/web/i18n/pl-PL/app-overview.ts
+++ b/web/i18n/pl-PL/app-overview.ts
@@ -70,6 +70,8 @@ const translation = {
           customDisclaimer: 'Oświadczenie o ochronie danych',
           customDisclaimerPlaceholder: 'Wprowadź oświadczenie o ochronie danych',
           customDisclaimerTip: 'Niestandardowy tekst oświadczenia będzie wyświetlany po stronie klienta, dostarczając dodatkowych informacji o aplikacji.',
+          copyrightTip: 'Wyświetlanie informacji o prawach autorskich w aplikacji internetowej',
+          copyrightTooltip: 'Uaktualnij do planu Professional lub wyższego',
         },
         sso: {
           tooltip: 'Skontaktuj się z administratorem, aby włączyć logowanie jednokrotne w aplikacji internetowej',
@@ -77,6 +79,7 @@ const translation = {
           label: 'Uwierzytelnianie logowania jednokrotnego',
           description: 'Wszyscy użytkownicy muszą zalogować się za pomocą logowania jednokrotnego przed użyciem aplikacji internetowej',
         },
+        modalTip: 'Ustawienia aplikacji internetowej po stronie klienta.',
       },
       embedded: {
         entry: 'Osadzone',
diff --git a/web/i18n/pl-PL/app.ts b/web/i18n/pl-PL/app.ts
index c2d921bfd9..686f56fa03 100644
--- a/web/i18n/pl-PL/app.ts
+++ b/web/i18n/pl-PL/app.ts
@@ -162,6 +162,10 @@ const translation = {
       removeConfirmContent: 'Obecna konfiguracja jest w użyciu, jej usunięcie wyłączy funkcję Śledzenia.',
     },
     view: 'Widok',
+    opik: {
+      description: 'Opik to platforma typu open source do oceny, testowania i monitorowania aplikacji LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     description: 'Czy w aplikacji udostępnionej ma być używana ikona aplikacji internetowej do zamiany 🤖.',
diff --git a/web/i18n/pt-BR/app-overview.ts b/web/i18n/pt-BR/app-overview.ts
index a717ca259c..1431fa13ce 100644
--- a/web/i18n/pt-BR/app-overview.ts
+++ b/web/i18n/pt-BR/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Aviso Legal Personalizado',
           customDisclaimerPlaceholder: 'Insira o texto do aviso legal',
           customDisclaimerTip: 'O texto do aviso legal personalizado será exibido no lado do cliente, fornecendo informações adicionais sobre o aplicativo',
+          copyrightTip: 'Exibir informações de direitos autorais no webapp',
+          copyrightTooltip: 'Por favor, atualize para o plano Professional ou superior',
         },
         sso: {
           tooltip: 'Entre em contato com o administrador para habilitar o SSO do WebApp',
@@ -72,6 +74,7 @@ const translation = {
           title: 'WebApp SSO',
           description: 'Todos os usuários devem fazer login com SSO antes de usar o WebApp',
         },
+        modalTip: 'Configurações do aplicativo Web do lado do cliente.',
       },
       embedded: {
         entry: 'Embutido',
diff --git a/web/i18n/pt-BR/app.ts b/web/i18n/pt-BR/app.ts
index bf0ad15ea8..79346d8c0d 100644
--- a/web/i18n/pt-BR/app.ts
+++ b/web/i18n/pt-BR/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'A configuração atual está em uso, removê-la desligará o recurso de Rastreamento.',
     },
     view: 'Vista',
+    opik: {
+      description: 'Opik é uma plataforma de código aberto para avaliar, testar e monitorar aplicativos LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     descriptionInExplore: 'Se o ícone do WebApp deve ser usado para substituir 🤖 no Explore',
diff --git a/web/i18n/ro-RO/app-overview.ts b/web/i18n/ro-RO/app-overview.ts
index 9a9c9be35b..07f28425e2 100644
--- a/web/i18n/ro-RO/app-overview.ts
+++ b/web/i18n/ro-RO/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimerPlaceholder: 'Introduceți textul personalizat de declinare a responsabilității',
           customDisclaimerTip: 'Textul personalizat de declinare a responsabilității va fi afișat pe partea clientului, oferind informații suplimentare despre aplicație',
           customDisclaimer: 'Declinarea responsabilității personalizate',
+          copyrightTip: 'Afișați informații despre drepturile de autor în aplicația web',
+          copyrightTooltip: 'Vă rugăm să faceți upgrade la planul Professional sau la o versiune ulterioară',
         },
         sso: {
           label: 'Autentificare SSO',
@@ -72,6 +74,7 @@ const translation = {
           description: 'Toți utilizatorii trebuie să se conecteze cu SSO înainte de a utiliza WebApp',
           tooltip: 'Contactați administratorul pentru a activa WebApp SSO',
         },
+        modalTip: 'Setările aplicației web pe partea clientului.',
       },
       embedded: {
         entry: 'Încorporat',
diff --git a/web/i18n/ro-RO/app.ts b/web/i18n/ro-RO/app.ts
index cab1556520..e53fbb72b7 100644
--- a/web/i18n/ro-RO/app.ts
+++ b/web/i18n/ro-RO/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'Configurația curentă este în uz, eliminarea acesteia va dezactiva funcția de Urmărire.',
     },
     view: 'Vedere',
+    opik: {
+      description: 'Opik este o platformă open-source pentru evaluarea, testarea și monitorizarea aplicațiilor LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     descriptionInExplore: 'Dacă să utilizați pictograma WebApp pentru a înlocui 🤖 în Explore',
diff --git a/web/i18n/ru-RU/app-overview.ts b/web/i18n/ru-RU/app-overview.ts
index 2969ddd6e7..c26c1d5ec6 100644
--- a/web/i18n/ru-RU/app-overview.ts
+++ b/web/i18n/ru-RU/app-overview.ts
@@ -71,7 +71,10 @@ const translation = {
           customDisclaimer: 'Пользовательский отказ от ответственности',
           customDisclaimerPlaceholder: 'Введите текст пользовательского отказа от ответственности',
           customDisclaimerTip: 'Текст пользовательского отказа от ответственности будет отображаться на стороне клиента, предоставляя дополнительную информацию о приложении',
+          copyrightTooltip: 'Пожалуйста, перейдите на тарифный план Professional или выше',
+          copyrightTip: 'Отображение информации об авторских правах в веб-приложении',
         },
+        modalTip: 'Настройки веб-приложения на стороне клиента.',
       },
       embedded: {
         entry: 'Встраивание',
diff --git a/web/i18n/ru-RU/app.ts b/web/i18n/ru-RU/app.ts
index 59d79020d7..5f57f64ffc 100644
--- a/web/i18n/ru-RU/app.ts
+++ b/web/i18n/ru-RU/app.ts
@@ -159,6 +159,10 @@ const translation = {
       removeConfirmTitle: 'Удалить конфигурацию {{key}}?',
       removeConfirmContent: 'Текущая конфигурация используется, ее удаление отключит функцию трассировки.',
     },
+    opik: {
+      title: 'Опик',
+      description: 'Opik — это платформа с открытым исходным кодом для оценки, тестирования и мониторинга LLM-приложений.',
+    },
   },
   answerIcon: {
     title: 'Использование значка WebApp для замены 🤖',
diff --git a/web/i18n/sl-SI/app-overview.ts b/web/i18n/sl-SI/app-overview.ts
index ced27cc779..458a5c4245 100644
--- a/web/i18n/sl-SI/app-overview.ts
+++ b/web/i18n/sl-SI/app-overview.ts
@@ -71,7 +71,10 @@ const translation = {
           customDisclaimer: 'Prilagojena izjava o omejitvi odgovornosti',
           customDisclaimerPlaceholder: 'Vnesite prilagojeno izjavo o omejitvi odgovornosti',
           customDisclaimerTip: 'Prilagojeno izjavo o omejitvi odgovornosti bo prikazano na strani za stranke, ki bo zagotavljala dodatne informacije o aplikaciji',
+          copyrightTip: 'Prikaz informacij o avtorskih pravicah v spletni aplikaciji',
+          copyrightTooltip: 'Prosimo, nadgradite na paket Professional ali višji',
         },
+        modalTip: 'Nastavitve spletne aplikacije na strani odjemalca.',
       },
       embedded: {
         entry: 'Vdelano',
diff --git a/web/i18n/sl-SI/app.ts b/web/i18n/sl-SI/app.ts
index 65421aa0f6..2c2c6e2355 100644
--- a/web/i18n/sl-SI/app.ts
+++ b/web/i18n/sl-SI/app.ts
@@ -164,6 +164,10 @@ const translation = {
       removeConfirmTitle: 'Odstraniti konfiguracijo {{key}}?',
       removeConfirmContent: 'Trenutna konfiguracija je v uporabi, odstranitev bo onemogočila funkcijo sledenja.',
     },
+    opik: {
+      description: 'Opik je odprtokodna platforma za ocenjevanje, testiranje in spremljanje aplikacij LLM.',
+      title: 'Opik',
+    },
   },
   mermaid: {
     handDrawn: 'Ročno narisano',
diff --git a/web/i18n/th-TH/app-overview.ts b/web/i18n/th-TH/app-overview.ts
index 81f95e1f8e..e8bc0a64a4 100644
--- a/web/i18n/th-TH/app-overview.ts
+++ b/web/i18n/th-TH/app-overview.ts
@@ -71,7 +71,10 @@ const translation = {
           customDisclaimer: 'ข้อจํากัดความรับผิดชอบที่กําหนดเอง',
           customDisclaimerPlaceholder: 'ป้อนข้อความข้อจํากัดความรับผิดชอบที่กําหนดเอง',
           customDisclaimerTip: 'ข้อความปฏิเสธความรับผิดชอบที่กําหนดเองจะแสดงที่ฝั่งไคลเอ็นต์ โดยให้ข้อมูลเพิ่มเติมเกี่ยวกับแอปพลิเคชัน',
+          copyrightTip: 'แสดงข้อมูลลิขสิทธิ์ในเว็บแอป',
+          copyrightTooltip: 'โปรดอัปเกรดเป็นแผน Professional หรือสูงกว่า',
         },
+        modalTip: 'การตั้งค่าเว็บแอปฝั่งไคลเอ็นต์',
       },
       embedded: {
         entry: 'ฝัง ตัว',
diff --git a/web/i18n/th-TH/app.ts b/web/i18n/th-TH/app.ts
index a05bec8aa6..83d2151f69 100644
--- a/web/i18n/th-TH/app.ts
+++ b/web/i18n/th-TH/app.ts
@@ -160,6 +160,10 @@ const translation = {
       removeConfirmTitle: 'ลบการกําหนดค่า {{key}} หรือไม่?',
       removeConfirmContent: 'การกําหนดค่าปัจจุบันกําลังใช้งาน การลบออกจะเป็นการปิดคุณสมบัติการติดตาม',
     },
+    opik: {
+      title: 'โอปิก',
+      description: 'Opik เป็นแพลตฟอร์มโอเพ่นซอร์สสําหรับการประเมิน ทดสอบ และตรวจสอบแอปพลิเคชัน LLM',
+    },
   },
   mermaid: {
     handDrawn: 'วาดด้วยมือ',
diff --git a/web/i18n/tr-TR/app-overview.ts b/web/i18n/tr-TR/app-overview.ts
index 721bac0000..14a057a723 100644
--- a/web/i18n/tr-TR/app-overview.ts
+++ b/web/i18n/tr-TR/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Özel İfşa',
           customDisclaimerPlaceholder: 'Özel ifşa metnini girin',
           customDisclaimerTip: 'Özel ifşa metni istemci tarafında görüntülenecek ve uygulama hakkında ek bilgiler sağlayacak',
+          copyrightTip: 'Web uygulamasında telif hakkı bilgilerini görüntüleme',
+          copyrightTooltip: 'Lütfen Profesyonel plana veya daha yüksek bir plana yükseltin',
         },
         sso: {
           title: 'WebApp SSO\'su',
@@ -72,6 +74,7 @@ const translation = {
           label: 'SSO Kimlik Doğrulaması',
           description: 'Tüm kullanıcıların WebApp\'i kullanmadan önce SSO ile oturum açmaları gerekir',
         },
+        modalTip: 'İstemci tarafı web uygulaması ayarları.',
       },
       embedded: {
         entry: 'Gömülü',
diff --git a/web/i18n/tr-TR/app.ts b/web/i18n/tr-TR/app.ts
index 3c4c379740..cedf1e2eab 100644
--- a/web/i18n/tr-TR/app.ts
+++ b/web/i18n/tr-TR/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'Mevcut yapılandırma kullanımda, kaldırılması İzleme özelliğini kapatacaktır.',
     },
     view: 'Görünüm',
+    opik: {
+      title: 'Opik Belediyesi',
+      description: 'Opik, LLM uygulamalarını değerlendirmek, test etmek ve izlemek için açık kaynaklı bir platformdur.',
+    },
   },
   answerIcon: {
     descriptionInExplore: 'Keşfet\'te değiştirilecek 🤖 WebApp simgesinin kullanılıp kullanılmayacağı',
diff --git a/web/i18n/uk-UA/app-overview.ts b/web/i18n/uk-UA/app-overview.ts
index 11c88c5699..97b3569340 100644
--- a/web/i18n/uk-UA/app-overview.ts
+++ b/web/i18n/uk-UA/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Відмова від відповідальності',
           customDisclaimerPlaceholder: 'Введіть відмову від відповідальності',
           customDisclaimerTip: 'Відображається на клієнтському боці, щоб визначити відповідальність за використання додатка',
+          copyrightTip: 'Відображення інформації про авторські права у веб-програмі',
+          copyrightTooltip: 'Будь ласка, перейдіть на тарифний план «Professional» або вище',
         },
         sso: {
           title: 'Єдиний вхід для WebApp',
@@ -72,6 +74,7 @@ const translation = {
           tooltip: 'Зверніться до адміністратора, щоб увімкнути єдиний вхід WebApp',
           label: 'Автентифікація за допомогою єдиного входу',
         },
+        modalTip: 'Налаштування веб-додатку на стороні клієнта.',
       },
       embedded: {
         entry: 'Вбудоване',
diff --git a/web/i18n/uk-UA/app.ts b/web/i18n/uk-UA/app.ts
index 6600622a63..06dd3e109d 100644
--- a/web/i18n/uk-UA/app.ts
+++ b/web/i18n/uk-UA/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'Поточне налаштування використовується, його видалення вимкне функцію Відстеження.',
     },
     view: 'Вид',
+    opik: {
+      title: 'Опік',
+      description: 'Opik — це платформа з відкритим вихідним кодом для оцінки, тестування та моніторингу додатків LLM.',
+    },
   },
   answerIcon: {
     title: 'Використовуйте піктограму WebApp для заміни 🤖',
diff --git a/web/i18n/vi-VN/app-overview.ts b/web/i18n/vi-VN/app-overview.ts
index 7cc7428906..3d86652d9e 100644
--- a/web/i18n/vi-VN/app-overview.ts
+++ b/web/i18n/vi-VN/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: 'Tuyên bố từ chối trách nhiệm tùy chỉnh',
           customDisclaimerPlaceholder: 'Nhập liên kết tuyên bố từ chối trách nhiệm',
           customDisclaimerTip: 'Liên kết này sẽ hiển thị ở phía người dùng, cung cấp thông tin về trách nhiệm của ứng dụng',
+          copyrightTip: 'Hiển thị thông tin bản quyền trong ứng dụng web',
+          copyrightTooltip: 'Vui lòng nâng cấp lên gói Professional trở lên',
         },
         sso: {
           title: 'SSO ứng dụng web',
@@ -72,6 +74,7 @@ const translation = {
           tooltip: 'Liên hệ với quản trị viên để bật SSO WebApp',
           label: 'Xác thực SSO',
         },
+        modalTip: 'Cài đặt ứng dụng web phía máy khách.',
       },
       embedded: {
         entry: 'Nhúng',
diff --git a/web/i18n/vi-VN/app.ts b/web/i18n/vi-VN/app.ts
index e0ffaa84d5..52893625da 100644
--- a/web/i18n/vi-VN/app.ts
+++ b/web/i18n/vi-VN/app.ts
@@ -155,6 +155,10 @@ const translation = {
       removeConfirmContent: 'Cấu hình hiện tại đang được sử dụng, việc xóa nó sẽ tắt tính năng Theo dõi.',
     },
     view: 'Cảnh',
+    opik: {
+      description: 'Opik là một nền tảng mã nguồn mở để đánh giá, thử nghiệm và giám sát các ứng dụng LLM.',
+      title: 'Opik',
+    },
   },
   answerIcon: {
     description: 'Có nên sử dụng biểu tượng WebApp để thay thế 🤖 trong ứng dụng được chia sẻ hay không',
diff --git a/web/i18n/zh-Hant/app-overview.ts b/web/i18n/zh-Hant/app-overview.ts
index 7ad7fc86d9..f60b3b7ace 100644
--- a/web/i18n/zh-Hant/app-overview.ts
+++ b/web/i18n/zh-Hant/app-overview.ts
@@ -65,6 +65,8 @@ const translation = {
           customDisclaimer: '自定義免責聲明',
           customDisclaimerPlaceholder: '請輸入免責聲明',
           customDisclaimerTip: '客製化的免責聲明文字將在客戶端顯示，提供有關應用程式的額外資訊。',
+          copyrightTip: '在 Web 應用程式中顯示版權資訊',
+          copyrightTooltip: '請升級至專業計劃或以上',
         },
         sso: {
           description: '所有使用者在使用 WebApp 之前都需要使用 SSO 登錄',
@@ -72,6 +74,7 @@ const translation = {
           tooltip: '聯繫管理員以啟用 WebApp SSO',
           label: 'SSO 身份驗證',
         },
+        modalTip: '用戶端 Web 應用程式設置。',
       },
       embedded: {
         entry: '嵌入',
diff --git a/web/i18n/zh-Hant/app.ts b/web/i18n/zh-Hant/app.ts
index 0cf916f3ff..05c87d176c 100644
--- a/web/i18n/zh-Hant/app.ts
+++ b/web/i18n/zh-Hant/app.ts
@@ -154,6 +154,10 @@ const translation = {
       removeConfirmTitle: '移除{{key}}配置？',
       removeConfirmContent: '當前配置正在使用中，移除它將關閉追蹤功能。',
     },
+    opik: {
+      title: '奧皮克',
+      description: 'Opik 是一個用於評估、測試和監控 LLM 應用程式的開源平臺。',
+    },
   },
   answerIcon: {
     descriptionInExplore: '是否使用 WebApp 圖示在 Explore 中取代 🤖',

From bc3a570dda37cbb8539d9a5c1494e3a4317fc090 Mon Sep 17 00:00:00 2001
From: Wu Tianwei <30284043+WTW0313@users.noreply.github.com>
Date: Tue, 14 Jan 2025 15:42:45 +0800
Subject: [PATCH 030/217] fix: Fix rerank model switching issue (#12721)

ok
---
 .../workflow/nodes/knowledge-retrieval/utils.ts        | 10 +++-------
 1 file changed, 3 insertions(+), 7 deletions(-)

diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
index c7b48c1eaa..fd4a5806eb 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
@@ -167,6 +167,9 @@ export const getMultipleRetrievalConfig = (
         }
       }
     }
+    else {
+      result.reranking_enable = true
+    }
   }
 
   if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {
@@ -205,13 +208,6 @@ export const getMultipleRetrievalConfig = (
       result.reranking_mode = RerankingModeEnum.WeightedScore
       setDefaultWeights()
     }
-    if (reranking_mode === RerankingModeEnum.RerankingModel && rerankModelIsValid) {
-      result.reranking_enable = true
-      result.reranking_model = {
-        provider: validRerankModel.provider || '',
-        model: validRerankModel.model || '',
-      }
-    }
   }
 
   return result

From e3c996688dc564106715e9da358ecb58b5362889 Mon Sep 17 00:00:00 2001
From: Hiroshi Fujita <fujita-h@users.noreply.github.com>
Date: Mon, 20 Jan 2025 22:59:22 +0900
Subject: [PATCH 031/217] feat: enhance credential extraction logic based on
 configurate method (#12853)

---
 api/core/provider_manager.py | 24 ++++++++++++++++++------
 1 file changed, 18 insertions(+), 6 deletions(-)

diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py
index 010abd12d2..2430d598ff 100644
--- a/api/core/provider_manager.py
+++ b/api/core/provider_manager.py
@@ -22,7 +22,12 @@ from core.helper import encrypter
 from core.helper.model_provider_cache import ProviderCredentialsCache, ProviderCredentialsCacheType
 from core.helper.position_helper import is_filtered
 from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.entities.provider_entities import CredentialFormSchema, FormType, ProviderEntity
+from core.model_runtime.entities.provider_entities import (
+    ConfigurateMethod,
+    CredentialFormSchema,
+    FormType,
+    ProviderEntity,
+)
 from core.model_runtime.model_providers import model_provider_factory
 from extensions import ext_hosting_provider
 from extensions.ext_database import db
@@ -835,11 +840,18 @@ class ProviderManager:
         :return:
         """
         # Get provider model credential secret variables
-        model_credential_secret_variables = self._extract_secret_variables(
-            provider_entity.model_credential_schema.credential_form_schemas
-            if provider_entity.model_credential_schema
-            else []
-        )
+        if ConfigurateMethod.PREDEFINED_MODEL in provider_entity.configurate_methods:
+            model_credential_secret_variables = self._extract_secret_variables(
+                provider_entity.provider_credential_schema.credential_form_schemas
+                if provider_entity.provider_credential_schema
+                else []
+            )
+        else:
+            model_credential_secret_variables = self._extract_secret_variables(
+                provider_entity.model_credential_schema.credential_form_schemas
+                if provider_entity.model_credential_schema
+                else []
+            )
 
         model_settings: list[ModelSettings] = []
         if not provider_model_settings:

From 6ea77ab4cdc0238cb13ccbf9925cdf6a42c6d09c Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Mon, 20 Jan 2025 22:04:18 +0800
Subject: [PATCH 032/217]  fix: DeepSeek API Error with response format active
 (text and json_object)  (#12747)

---
 api/core/model_runtime/model_providers/deepseek/llm/llm.py    | 3 ---
 api/core/model_runtime/model_providers/moonshot/llm/llm.py    | 3 ---
 api/core/model_runtime/model_providers/siliconflow/llm/llm.py | 3 ---
 3 files changed, 9 deletions(-)

diff --git a/api/core/model_runtime/model_providers/deepseek/llm/llm.py b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
index 0a81f0c094..610dc7b458 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/llm.py
+++ b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
@@ -24,9 +24,6 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
         self._add_custom_parameters(credentials)
-        # {"response_format": "xx"} need convert to {"response_format": {"type": "xx"}}
-        if "response_format" in model_parameters:
-            model_parameters["response_format"] = {"type": model_parameters.get("response_format")}
         return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/llm.py b/api/core/model_runtime/model_providers/moonshot/llm/llm.py
index cfee0b91e7..33fa02f0bd 100644
--- a/api/core/model_runtime/model_providers/moonshot/llm/llm.py
+++ b/api/core/model_runtime/model_providers/moonshot/llm/llm.py
@@ -44,9 +44,6 @@ class MoonshotLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         self._add_custom_parameters(credentials)
         self._add_function_call(model, credentials)
         user = user[:32] if user else None
-        # {"response_format": "json_object"} need convert to {"response_format": {"type": "json_object"}}
-        if "response_format" in model_parameters:
-            model_parameters["response_format"] = {"type": model_parameters.get("response_format")}
         return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
index f61e8b82e4..7a8aac9ca7 100644
--- a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
@@ -29,9 +29,6 @@ class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
         self._add_custom_parameters(credentials)
-        # {"response_format": "json_object"} need convert to {"response_format": {"type": "json_object"}}
-        if "response_format" in model_parameters:
-            model_parameters["response_format"] = {"type": model_parameters.get("response_format")}
         return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:

From 8dfdee21ce3a671a1a871de30e5874c6f09e32c5 Mon Sep 17 00:00:00 2001
From: zhu-an <70234959+xhdd123321@users.noreply.github.com>
Date: Mon, 20 Jan 2025 22:15:26 +0800
Subject: [PATCH 033/217] chore: fix chinese translation for 'recall' (#12772)

Co-authored-by: zhaoqingyu.1075 <zhaoqingyu.1075@bytedance.com>
---
 web/i18n/zh-Hans/dataset-creation.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/i18n/zh-Hans/dataset-creation.ts b/web/i18n/zh-Hans/dataset-creation.ts
index c61e75eb98..3b3824d2cb 100644
--- a/web/i18n/zh-Hans/dataset-creation.ts
+++ b/web/i18n/zh-Hans/dataset-creation.ts
@@ -101,7 +101,7 @@ const translation = {
     custom: '自定义',
     customDescription: '自定义分段规则、分段长度以及预处理规则等参数',
     general: '通用',
-    generalTip: '通用文本分块模式，检索和回忆的块是相同的',
+    generalTip: '通用文本分块模式，检索和召回的块是相同的',
     parentChild: '父子分段',
     parentChildTip: '使用父子模式时，子块用于检索，父块用作上下文',
     parentChunkForContext: '父块用作上下文',

From 677a69deed47222d86427bcb050540ddd3c62ffc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=B5=B7=E7=8B=B8=E5=A4=A7=E5=B8=AB?=
 <86974027+yenslife@users.noreply.github.com>
Date: Mon, 20 Jan 2025 22:15:41 +0800
Subject: [PATCH 034/217] fix(i18n): correct typo in zh-Hant translation
 (#12852)

---
 web/i18n/zh-Hant/common.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts
index 8317fca4ea..735af54a89 100644
--- a/web/i18n/zh-Hant/common.ts
+++ b/web/i18n/zh-Hant/common.ts
@@ -607,7 +607,7 @@ const translation = {
     pasteFileLink: '粘貼文件連結',
     pasteFileLinkInputPlaceholder: '輸入網址...',
     uploadFromComputerReadError: '檔案讀取失敗，請重試。',
-    uploadFromComputerUploadError: '檔上傳失敗，請重新上傳。',
+    uploadFromComputerUploadError: '檔案上傳失敗，請重新上傳。',
     pasteFileLinkInvalid: '無效的文件連結',
     uploadFromComputer: '本地上傳',
     fileExtensionNotSupport: '不支援檔擴展名',

From 210926cd915b01b27b532953d765d8bde1fff447 Mon Sep 17 00:00:00 2001
From: Xu Song <xusong.vip@gmail.com>
Date: Mon, 20 Jan 2025 22:16:30 +0800
Subject: [PATCH 035/217] Fix suggested_question_prompt (#12738)

---
 api/core/llm_generator/prompts.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/llm_generator/prompts.py b/api/core/llm_generator/prompts.py
index 7c0f247052..f9411e9ec7 100644
--- a/api/core/llm_generator/prompts.py
+++ b/api/core/llm_generator/prompts.py
@@ -131,7 +131,7 @@ JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE = (
 SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
     "Please help me predict the three most likely questions that human would ask, "
     "and keeping each question under 20 characters.\n"
-    "MAKE SURE your output is the SAME language as the Assistant's latest response"
+    "MAKE SURE your output is the SAME language as the Assistant's latest response. "
     "The output must be an array in JSON format following the specified schema:\n"
     '["question1","question2","question3"]\n'
 )

From 80801ac4ab981c3c86384bdce055dba7126c1fca Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Mon, 20 Jan 2025 22:18:30 +0800
Subject: [PATCH 036/217] fix: "parmas" spelling mistake. (#12875)

---
 .../provider/builtin/email/tools/send.py      | 28 +++++++++----------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/api/core/tools/provider/builtin/email/tools/send.py b/api/core/tools/provider/builtin/email/tools/send.py
index bf9e63e1ef..2012d8b115 100644
--- a/api/core/tools/provider/builtin/email/tools/send.py
+++ b/api/core/tools/provider/builtin/email/tools/send.py
@@ -20,33 +20,33 @@ class SendEmailToolParameters(BaseModel):
     encrypt_method: str
 
 
-def send_mail(parmas: SendEmailToolParameters):
+def send_mail(params: SendEmailToolParameters):
     timeout = 60
     msg = MIMEMultipart("alternative")
-    msg["From"] = parmas.email_account
-    msg["To"] = parmas.sender_to
-    msg["Subject"] = parmas.subject
-    msg.attach(MIMEText(parmas.email_content, "plain"))
-    msg.attach(MIMEText(parmas.email_content, "html"))
+    msg["From"] = params.email_account
+    msg["To"] = params.sender_to
+    msg["Subject"] = params.subject
+    msg.attach(MIMEText(params.email_content, "plain"))
+    msg.attach(MIMEText(params.email_content, "html"))
 
     ctx = ssl.create_default_context()
 
-    if parmas.encrypt_method.upper() == "SSL":
+    if params.encrypt_method.upper() == "SSL":
         try:
-            with smtplib.SMTP_SSL(parmas.smtp_server, parmas.smtp_port, context=ctx, timeout=timeout) as server:
-                server.login(parmas.email_account, parmas.email_password)
-                server.sendmail(parmas.email_account, parmas.sender_to, msg.as_string())
+            with smtplib.SMTP_SSL(params.smtp_server, params.smtp_port, context=ctx, timeout=timeout) as server:
+                server.login(params.email_account, params.email_password)
+                server.sendmail(params.email_account, params.sender_to, msg.as_string())
                 return True
         except Exception as e:
             logging.exception("send email failed")
             return False
     else:  # NONE or TLS
         try:
-            with smtplib.SMTP(parmas.smtp_server, parmas.smtp_port, timeout=timeout) as server:
-                if parmas.encrypt_method.upper() == "TLS":
+            with smtplib.SMTP(params.smtp_server, params.smtp_port, timeout=timeout) as server:
+                if params.encrypt_method.upper() == "TLS":
                     server.starttls(context=ctx)
-                server.login(parmas.email_account, parmas.email_password)
-                server.sendmail(parmas.email_account, parmas.sender_to, msg.as_string())
+                server.login(params.email_account, params.email_password)
+                server.sendmail(params.email_account, params.sender_to, msg.as_string())
                 return True
         except Exception as e:
             logging.exception("send email failed")

From 9d86147d20e51d7fefd2c88c987144223ee08ddb Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Mon, 20 Jan 2025 22:21:21 +0800
Subject: [PATCH 037/217] fix: SparkLite API Auth error (#12781) (#12790)

---
 api/core/model_runtime/model_providers/spark/llm/_client.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/spark/llm/_client.py b/api/core/model_runtime/model_providers/spark/llm/_client.py
index 48911f657a..d8421cd7a0 100644
--- a/api/core/model_runtime/model_providers/spark/llm/_client.py
+++ b/api/core/model_runtime/model_providers/spark/llm/_client.py
@@ -21,7 +21,7 @@ class SparkLLMClient:
             domain = api_domain
 
         model_api_configs = {
-            "spark-lite": {"version": "v1.1", "chat_domain": "general"},
+            "spark-lite": {"version": "v1.1", "chat_domain": "lite"},
             "spark-pro": {"version": "v3.1", "chat_domain": "generalv3"},
             "spark-pro-128k": {"version": "pro-128k", "chat_domain": "pro-128k"},
             "spark-max": {"version": "v3.5", "chat_domain": "generalv3.5"},

From 3defd2408734e37b0c3eaa22d40b850154e321dc Mon Sep 17 00:00:00 2001
From: kurokobo <kuro664@gmail.com>
Date: Tue, 21 Jan 2025 10:25:40 +0900
Subject: [PATCH 038/217] feat: allow updating chunk settings for the existing
 documents (#12833)

---
 api/services/dataset_service.py               | 32 +++++++++----------
 .../knowledge_entities/knowledge_entities.py  |  2 +-
 .../datasets/create/step-two/index.tsx        |  2 +-
 .../documents/detail/completed/index.tsx      |  6 ++++
 4 files changed, 24 insertions(+), 18 deletions(-)

diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index dac0a6a772..c55555451b 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -859,7 +859,7 @@ class DocumentService:
                 position = DocumentService.get_documents_position(dataset.id)
                 document_ids = []
                 duplicate_document_ids = []
-                if knowledge_config.data_source.info_list.data_source_type == "upload_file":
+                if knowledge_config.data_source.info_list.data_source_type == "upload_file":  # type: ignore
                     upload_file_list = knowledge_config.data_source.info_list.file_info_list.file_ids  # type: ignore
                     for file_id in upload_file_list:
                         file = (
@@ -901,7 +901,7 @@ class DocumentService:
                         document = DocumentService.build_document(
                             dataset,
                             dataset_process_rule.id,  # type: ignore
-                            knowledge_config.data_source.info_list.data_source_type,
+                            knowledge_config.data_source.info_list.data_source_type,  # type: ignore
                             knowledge_config.doc_form,
                             knowledge_config.doc_language,
                             data_source_info,
@@ -916,8 +916,8 @@ class DocumentService:
                         document_ids.append(document.id)
                         documents.append(document)
                         position += 1
-                elif knowledge_config.data_source.info_list.data_source_type == "notion_import":
-                    notion_info_list = knowledge_config.data_source.info_list.notion_info_list
+                elif knowledge_config.data_source.info_list.data_source_type == "notion_import":  # type: ignore
+                    notion_info_list = knowledge_config.data_source.info_list.notion_info_list  # type: ignore
                     if not notion_info_list:
                         raise ValueError("No notion info list found.")
                     exist_page_ids = []
@@ -956,7 +956,7 @@ class DocumentService:
                                 document = DocumentService.build_document(
                                     dataset,
                                     dataset_process_rule.id,  # type: ignore
-                                    knowledge_config.data_source.info_list.data_source_type,
+                                    knowledge_config.data_source.info_list.data_source_type,  # type: ignore
                                     knowledge_config.doc_form,
                                     knowledge_config.doc_language,
                                     data_source_info,
@@ -976,8 +976,8 @@ class DocumentService:
                     # delete not selected documents
                     if len(exist_document) > 0:
                         clean_notion_document_task.delay(list(exist_document.values()), dataset.id)
-                elif knowledge_config.data_source.info_list.data_source_type == "website_crawl":
-                    website_info = knowledge_config.data_source.info_list.website_info_list
+                elif knowledge_config.data_source.info_list.data_source_type == "website_crawl":  # type: ignore
+                    website_info = knowledge_config.data_source.info_list.website_info_list  # type: ignore
                     if not website_info:
                         raise ValueError("No website info list found.")
                     urls = website_info.urls
@@ -996,7 +996,7 @@ class DocumentService:
                         document = DocumentService.build_document(
                             dataset,
                             dataset_process_rule.id,  # type: ignore
-                            knowledge_config.data_source.info_list.data_source_type,
+                            knowledge_config.data_source.info_list.data_source_type,  # type: ignore
                             knowledge_config.doc_form,
                             knowledge_config.doc_language,
                             data_source_info,
@@ -1195,20 +1195,20 @@ class DocumentService:
 
         if features.billing.enabled:
             count = 0
-            if knowledge_config.data_source.info_list.data_source_type == "upload_file":
+            if knowledge_config.data_source.info_list.data_source_type == "upload_file":  # type: ignore
                 upload_file_list = (
-                    knowledge_config.data_source.info_list.file_info_list.file_ids
-                    if knowledge_config.data_source.info_list.file_info_list
+                    knowledge_config.data_source.info_list.file_info_list.file_ids  # type: ignore
+                    if knowledge_config.data_source.info_list.file_info_list  # type: ignore
                     else []
                 )
                 count = len(upload_file_list)
-            elif knowledge_config.data_source.info_list.data_source_type == "notion_import":
-                notion_info_list = knowledge_config.data_source.info_list.notion_info_list
+            elif knowledge_config.data_source.info_list.data_source_type == "notion_import":  # type: ignore
+                notion_info_list = knowledge_config.data_source.info_list.notion_info_list  # type: ignore
                 if notion_info_list:
                     for notion_info in notion_info_list:
                         count = count + len(notion_info.pages)
-            elif knowledge_config.data_source.info_list.data_source_type == "website_crawl":
-                website_info = knowledge_config.data_source.info_list.website_info_list
+            elif knowledge_config.data_source.info_list.data_source_type == "website_crawl":  # type: ignore
+                website_info = knowledge_config.data_source.info_list.website_info_list  # type: ignore
                 if website_info:
                     count = len(website_info.urls)
             batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
@@ -1239,7 +1239,7 @@ class DocumentService:
         dataset = Dataset(
             tenant_id=tenant_id,
             name="",
-            data_source_type=knowledge_config.data_source.info_list.data_source_type,
+            data_source_type=knowledge_config.data_source.info_list.data_source_type,  # type: ignore
             indexing_technique=knowledge_config.indexing_technique,
             created_by=account.id,
             embedding_model=knowledge_config.embedding_model,
diff --git a/api/services/entities/knowledge_entities/knowledge_entities.py b/api/services/entities/knowledge_entities/knowledge_entities.py
index 76d9c28812..8d6a246b64 100644
--- a/api/services/entities/knowledge_entities/knowledge_entities.py
+++ b/api/services/entities/knowledge_entities/knowledge_entities.py
@@ -97,7 +97,7 @@ class KnowledgeConfig(BaseModel):
     original_document_id: Optional[str] = None
     duplicate: bool = True
     indexing_technique: Literal["high_quality", "economy"]
-    data_source: DataSource
+    data_source: Optional[DataSource] = None
     process_rule: Optional[ProcessRule] = None
     retrieval_model: Optional[RetrievalModel] = None
     doc_form: str = "text_model"
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx
index 11984d71c6..d6fa45b4fb 100644
--- a/web/app/components/datasets/create/step-two/index.tsx
+++ b/web/app/components/datasets/create/step-two/index.tsx
@@ -1001,7 +1001,7 @@ const StepTwo = ({
           )
           : (
             <div className='flex items-center mt-8 py-2'>
-              {!datasetId && <Button loading={isCreating} variant='primary' onClick={createHandle}>{t('datasetCreation.stepTwo.save')}</Button>}
+              <Button loading={isCreating} variant='primary' onClick={createHandle}>{t('datasetCreation.stepTwo.save')}</Button>
               <Button className='ml-2' onClick={onCancel}>{t('datasetCreation.stepTwo.cancel')}</Button>
             </div>
           )}
diff --git a/web/app/components/datasets/documents/detail/completed/index.tsx b/web/app/components/datasets/documents/detail/completed/index.tsx
index 69cba1d8cd..d4a4f03578 100644
--- a/web/app/components/datasets/documents/detail/completed/index.tsx
+++ b/web/app/components/datasets/documents/detail/completed/index.tsx
@@ -4,6 +4,7 @@ import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react'
 import { useDebounceFn } from 'ahooks'
 import { useTranslation } from 'react-i18next'
 import { createContext, useContext, useContextSelector } from 'use-context-selector'
+import { usePathname } from 'next/navigation'
 import { useDocumentContext } from '../index'
 import { ProcessStatus } from '../segment-add'
 import s from './style.module.css'
@@ -99,6 +100,7 @@ const Completed: FC<ICompletedProps> = ({
 }) => {
   const { t } = useTranslation()
   const { notify } = useContext(ToastContext)
+  const pathname = usePathname()
   const datasetId = useDocumentContext(s => s.datasetId) || ''
   const documentId = useDocumentContext(s => s.documentId) || ''
   const docForm = useDocumentContext(s => s.docForm)
@@ -374,6 +376,10 @@ const Completed: FC<ICompletedProps> = ({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [segments, datasetId, documentId])
 
+  useEffect(() => {
+    resetList()
+  }, [pathname])
+
   useEffect(() => {
     if (importStatus === ProcessStatus.COMPLETED)
       resetList()

From 5ff08e241a906c7adcedc62c0ac80210ec3d4f66 Mon Sep 17 00:00:00 2001
From: rayshaw001 <396301947@163.com>
Date: Tue, 21 Jan 2025 09:38:56 +0800
Subject: [PATCH 039/217] fix: serply credential check query might return empty
 records (#12784)

---
 api/core/tools/provider/builtin/websearch/tools/job_search.py   | 2 +-
 api/core/tools/provider/builtin/websearch/tools/news_search.py  | 2 +-
 .../tools/provider/builtin/websearch/tools/scholar_search.py    | 2 +-
 api/core/tools/provider/builtin/websearch/tools/web_search.py   | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/api/core/tools/provider/builtin/websearch/tools/job_search.py b/api/core/tools/provider/builtin/websearch/tools/job_search.py
index 293f4f6329..13eb403391 100644
--- a/api/core/tools/provider/builtin/websearch/tools/job_search.py
+++ b/api/core/tools/provider/builtin/websearch/tools/job_search.py
@@ -43,7 +43,7 @@ class SerplyApi:
     def parse_results(res: dict) -> str:
         """Process response from Serply Job Search."""
         jobs = res.get("jobs", [])
-        if not jobs:
+        if not res or "jobs" not in res:
             raise ValueError(f"Got error from Serply: {res}")
 
         string = []
diff --git a/api/core/tools/provider/builtin/websearch/tools/news_search.py b/api/core/tools/provider/builtin/websearch/tools/news_search.py
index 9b5482fe18..7a8a732ff3 100644
--- a/api/core/tools/provider/builtin/websearch/tools/news_search.py
+++ b/api/core/tools/provider/builtin/websearch/tools/news_search.py
@@ -43,7 +43,7 @@ class SerplyApi:
     def parse_results(res: dict) -> str:
         """Process response from Serply News Search."""
         news = res.get("entries", [])
-        if not news:
+        if not res or "entries" not in res:
             raise ValueError(f"Got error from Serply: {res}")
 
         string = []
diff --git a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py b/api/core/tools/provider/builtin/websearch/tools/scholar_search.py
index 798d059b51..32c5d39e5b 100644
--- a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py
+++ b/api/core/tools/provider/builtin/websearch/tools/scholar_search.py
@@ -43,7 +43,7 @@ class SerplyApi:
     def parse_results(res: dict) -> str:
         """Process response from Serply News Search."""
         articles = res.get("articles", [])
-        if not articles:
+        if not res or "articles" not in res:
             raise ValueError(f"Got error from Serply: {res}")
 
         string = []
diff --git a/api/core/tools/provider/builtin/websearch/tools/web_search.py b/api/core/tools/provider/builtin/websearch/tools/web_search.py
index fe363ac7a4..d0e93cb0fa 100644
--- a/api/core/tools/provider/builtin/websearch/tools/web_search.py
+++ b/api/core/tools/provider/builtin/websearch/tools/web_search.py
@@ -42,7 +42,7 @@ class SerplyApi:
     def parse_results(res: dict) -> str:
         """Process response from Serply Web Search."""
         results = res.get("results", [])
-        if not results:
+        if not res or "results" not in res:
             raise ValueError(f"Got error from Serply: {res}")
 
         string = []

From 925d69a2ee7b1a1b91f2d44b512634c2bfd81127 Mon Sep 17 00:00:00 2001
From: Ding Jiatong <dingjiatong@gmail.com>
Date: Tue, 21 Jan 2025 10:08:53 +0800
Subject: [PATCH 040/217] feat:Support Minimax-Text-01 (#12763)

---
 .../model_providers/minimax/llm/llm.py        |  1 +
 .../minimax/llm/minimax-text-01.yaml          | 46 +++++++++++++++++++
 2 files changed, 47 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml

diff --git a/api/core/model_runtime/model_providers/minimax/llm/llm.py b/api/core/model_runtime/model_providers/minimax/llm/llm.py
index ca9b243c92..6ca32d8b24 100644
--- a/api/core/model_runtime/model_providers/minimax/llm/llm.py
+++ b/api/core/model_runtime/model_providers/minimax/llm/llm.py
@@ -34,6 +34,7 @@ from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage
 
 class MinimaxLargeLanguageModel(LargeLanguageModel):
     model_apis = {
+        "minimax-text-01": MinimaxChatCompletionPro,
         "abab7-chat-preview": MinimaxChatCompletionPro,
         "abab6.5t-chat": MinimaxChatCompletionPro,
         "abab6.5s-chat": MinimaxChatCompletionPro,
diff --git a/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml b/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml
new file mode 100644
index 0000000000..8f31aa872e
--- /dev/null
+++ b/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml
@@ -0,0 +1,46 @@
+model: minimax-text-01
+label:
+  en_US: Minimax-Text-01
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 1000192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0.01
+    max: 1
+    default: 0.1
+  - name: top_p
+    use_template: top_p
+    min: 0.01
+    max: 1
+    default: 0.95
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 1000192
+  - name: mask_sensitive_info
+    type: boolean
+    default: true
+    label:
+      zh_Hans: 隐私保护
+      en_US: Moderate
+    help:
+      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
+      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+pricing:
+  input: '0.001'
+  output: '0.008'
+  unit: '0.001'
+  currency: RMB

From 166221d784fb6199050dedf8498397f236734f66 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Tue, 21 Jan 2025 10:12:29 +0800
Subject: [PATCH 041/217] chore(lint): fix quotes for f-string formatting by
 bumping ruff to 0.9.x (#12702)

---
 api/.ruff.toml                                |  2 +
 api/configs/feature/__init__.py               |  2 +-
 .../feature/hosted_service/__init__.py        |  2 +-
 api/controllers/console/admin.py              |  2 +-
 api/controllers/console/datasets/datasets.py  |  2 +-
 .../console/datasets/datasets_document.py     |  6 +--
 .../console/datasets/datasets_segments.py     | 12 ++----
 .../service_api/dataset/segment.py            |  9 ++---
 api/core/app/apps/base_app_queue_manager.py   |  3 +-
 .../app/task_pipeline/message_cycle_manage.py |  2 +-
 api/core/external_data_tool/api/api.py        |  5 ++-
 api/core/file/models.py                       |  2 +-
 .../model_providers/azure_openai/llm/llm.py   |  2 +-
 .../text_embedding/text_embedding.py          |  2 +-
 .../text_embedding/text_embedding.py          |  4 +-
 .../model_providers/tongyi/llm/llm.py         |  3 +-
 .../triton_inference_server/llm/llm.py        |  2 +-
 .../model_providers/wenxin/_common.py         | 10 ++---
 .../model_providers/xinference/llm/llm.py     |  4 +-
 .../rag/extractor/firecrawl/firecrawl_app.py  |  2 +-
 api/core/rag/extractor/notion_extractor.py    |  3 +-
 .../provider/builtin/aippt/tools/aippt.py     | 22 +++++-----
 .../provider/builtin/aws/tools/nova_reel.py   |  3 +-
 .../baidu_translate/tools/fieldtranslate.py   |  2 +-
 .../builtin/baidu_translate/tools/language.py |  2 +-
 .../baidu_translate/tools/translate.py        |  2 +-
 .../builtin/bing/tools/bing_web_search.py     | 34 ++++++++--------
 .../tools/provider/builtin/did/did_appx.py    |  2 +-
 .../builtin/firecrawl/firecrawl_appx.py       |  4 +-
 .../builtin/gaode/tools/gaode_weather.py      |  5 ++-
 .../hap/tools/list_worksheet_records.py       |  2 +-
 .../provider/builtin/stability/tools/base.py  |  2 +-
 .../tools/provider/builtin/vanna/vanna.py     |  2 +-
 api/core/tools/tool/api_tool.py               |  4 +-
 api/core/tools/utils/message_transformer.py   |  4 +-
 api/core/tools/utils/parser.py                |  2 +-
 .../workflow/nodes/http_request/executor.py   |  8 ++--
 ...rameters_cache_when_sync_draft_workflow.py |  2 +-
 api/poetry.lock                               | 40 +++++++++----------
 api/pyproject.toml                            |  2 +-
 api/services/dataset_service.py               |  3 +-
 api/services/external_knowledge_service.py    |  2 +-
 .../dependencies/test_dependencies_sorted.py  |  6 +--
 .../vdb/opensearch/test_opensearch.py         |  6 +--
 .../core/workflow/nodes/llm/test_node.py      |  6 +--
 .../workflow/test_workflow_converter.py       |  3 +-
 46 files changed, 120 insertions(+), 131 deletions(-)

diff --git a/api/.ruff.toml b/api/.ruff.toml
index 89a2da35d6..800c592f1d 100644
--- a/api/.ruff.toml
+++ b/api/.ruff.toml
@@ -53,10 +53,12 @@ ignore = [
     "FURB152", # math-constant
     "UP007", # non-pep604-annotation
     "UP032", # f-string
+    "UP045", # non-pep604-annotation-optional
     "B005", # strip-with-multi-characters
     "B006", # mutable-argument-default
     "B007", # unused-loop-control-variable
     "B026", # star-arg-unpacking-after-keyword-arg
+    "B903", # class-as-data-structure
     "B904", # raise-without-from-inside-except
     "B905", # zip-without-explicit-strict
     "N806", # non-lowercase-variable-in-function
diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index 59309fd25c..9e2ba41780 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -146,7 +146,7 @@ class EndpointConfig(BaseSettings):
     )
 
     CONSOLE_WEB_URL: str = Field(
-        description="Base URL for the console web interface," "used for frontend references and CORS configuration",
+        description="Base URL for the console web interface,used for frontend references and CORS configuration",
         default="",
     )
 
diff --git a/api/configs/feature/hosted_service/__init__.py b/api/configs/feature/hosted_service/__init__.py
index 7f103be8f4..7dd47e3658 100644
--- a/api/configs/feature/hosted_service/__init__.py
+++ b/api/configs/feature/hosted_service/__init__.py
@@ -181,7 +181,7 @@ class HostedFetchAppTemplateConfig(BaseSettings):
     """
 
     HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching app templates: remote, db, or builtin" " default to remote,",
+        description="Mode for fetching app templates: remote, db, or builtin default to remote,",
         default="remote",
     )
 
diff --git a/api/controllers/console/admin.py b/api/controllers/console/admin.py
index 52e0bb6c56..1286188f7f 100644
--- a/api/controllers/console/admin.py
+++ b/api/controllers/console/admin.py
@@ -56,7 +56,7 @@ class InsertExploreAppListApi(Resource):
 
         app = App.query.filter(App.id == args["app_id"]).first()
         if not app:
-            raise NotFound(f'App \'{args["app_id"]}\' is not found')
+            raise NotFound(f"App '{args['app_id']}' is not found")
 
         site = app.site
         if not site:
diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 386e45c58e..814b4ad6ff 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -457,7 +457,7 @@ class DatasetIndexingEstimateApi(Resource):
             )
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                "No Embedding Model available. Please configure a valid provider " "in the Settings -> Model Provider."
+                "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
             )
         except ProviderTokenNotInitError as ex:
             raise ProviderNotInitializeError(ex.description)
diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py
index c11beaeee1..c95214e9fb 100644
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -350,8 +350,7 @@ class DatasetInitApi(Resource):
                 )
             except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -526,8 +525,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 return response.model_dump(), 200
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py
index d48dbe1772..d2c94045ad 100644
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -168,8 +168,7 @@ class DatasetDocumentSegmentApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -217,8 +216,7 @@ class DatasetDocumentSegmentAddApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -267,8 +265,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -437,8 +434,7 @@ class ChildChunkAddApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
diff --git a/api/controllers/service_api/dataset/segment.py b/api/controllers/service_api/dataset/segment.py
index 1c500f51bf..25ae43f2ad 100644
--- a/api/controllers/service_api/dataset/segment.py
+++ b/api/controllers/service_api/dataset/segment.py
@@ -53,8 +53,7 @@ class SegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -95,8 +94,7 @@ class SegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
@@ -175,8 +173,7 @@ class DatasetSegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
diff --git a/api/core/app/apps/base_app_queue_manager.py b/api/core/app/apps/base_app_queue_manager.py
index 1842fc4303..ce2222a14e 100644
--- a/api/core/app/apps/base_app_queue_manager.py
+++ b/api/core/app/apps/base_app_queue_manager.py
@@ -167,8 +167,7 @@ class AppQueueManager:
         else:
             if isinstance(data, DeclarativeMeta) or hasattr(data, "_sa_instance_state"):
                 raise TypeError(
-                    "Critical Error: Passing SQLAlchemy Model instances "
-                    "that cause thread safety issues is not allowed."
+                    "Critical Error: Passing SQLAlchemy Model instances that cause thread safety issues is not allowed."
                 )
 
 
diff --git a/api/core/app/task_pipeline/message_cycle_manage.py b/api/core/app/task_pipeline/message_cycle_manage.py
index 6a4ab259ba..ef3a52442f 100644
--- a/api/core/app/task_pipeline/message_cycle_manage.py
+++ b/api/core/app/task_pipeline/message_cycle_manage.py
@@ -145,7 +145,7 @@ class MessageCycleManage:
 
             # get extension
             if "." in message_file.url:
-                extension = f'.{message_file.url.split(".")[-1]}'
+                extension = f".{message_file.url.split('.')[-1]}"
                 if len(extension) > 10:
                     extension = ".bin"
             else:
diff --git a/api/core/external_data_tool/api/api.py b/api/core/external_data_tool/api/api.py
index 9989c8a090..53acdf075f 100644
--- a/api/core/external_data_tool/api/api.py
+++ b/api/core/external_data_tool/api/api.py
@@ -62,8 +62,9 @@ class ApiExternalDataTool(ExternalDataTool):
 
         if not api_based_extension:
             raise ValueError(
-                "[External data tool] API query failed, variable: {}, "
-                "error: api_based_extension_id is invalid".format(self.variable)
+                "[External data tool] API query failed, variable: {}, error: api_based_extension_id is invalid".format(
+                    self.variable
+                )
             )
 
         # decrypt api_key
diff --git a/api/core/file/models.py b/api/core/file/models.py
index 4b4674da09..0de0089430 100644
--- a/api/core/file/models.py
+++ b/api/core/file/models.py
@@ -90,7 +90,7 @@ class File(BaseModel):
     def markdown(self) -> str:
         url = self.generate_url()
         if self.type == FileType.IMAGE:
-            text = f'![{self.filename or ""}]({url})'
+            text = f"![{self.filename or ''}]({url})"
         else:
             text = f"[{self.filename or url}]({url})"
 
diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
index 03818741f6..be6f90bc07 100644
--- a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
@@ -108,7 +108,7 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
         ai_model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)
 
         if not ai_model_entity:
-            raise CredentialsValidateFailedError(f'Base Model Name {credentials["base_model_name"]} is invalid')
+            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
 
         try:
             client = AzureOpenAI(**self._to_credential_kwargs(credentials))
diff --git a/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
index 69d2cfaded..05f1b5b557 100644
--- a/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
+++ b/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
@@ -130,7 +130,7 @@ class AzureOpenAITextEmbeddingModel(_CommonAzureOpenAI, TextEmbeddingModel):
             raise CredentialsValidateFailedError("Base Model Name is required")
 
         if not self._get_ai_model_entity(credentials["base_model_name"], model):
-            raise CredentialsValidateFailedError(f'Base Model Name {credentials["base_model_name"]} is invalid')
+            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
 
         try:
             credentials_kwargs = self._to_credential_kwargs(credentials)
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py
index 4ca5379405..93a1b40f73 100644
--- a/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py
+++ b/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py
@@ -162,9 +162,9 @@ class HuggingfaceHubTextEmbeddingModel(_CommonHuggingfaceHub, TextEmbeddingModel
     @staticmethod
     def _check_endpoint_url_model_repository_name(credentials: dict, model_name: str):
         try:
-            url = f'{HUGGINGFACE_ENDPOINT_API}{credentials["huggingface_namespace"]}'
+            url = f"{HUGGINGFACE_ENDPOINT_API}{credentials['huggingface_namespace']}"
             headers = {
-                "Authorization": f'Bearer {credentials["huggingfacehub_api_token"]}',
+                "Authorization": f"Bearer {credentials['huggingfacehub_api_token']}",
                 "Content-Type": "application/json",
             }
 
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
index 61ebd45ed6..8214667427 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
@@ -257,8 +257,7 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         for index, response in enumerate(responses):
             if response.status_code not in {200, HTTPStatus.OK}:
                 raise ServiceUnavailableError(
-                    f"Failed to invoke model {model}, status code: {response.status_code}, "
-                    f"message: {response.message}"
+                    f"Failed to invoke model {model}, status code: {response.status_code}, message: {response.message}"
                 )
 
             resp_finish_reason = response.output.choices[0].finish_reason
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py b/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py
index 47a4b99214..3fb3012ae4 100644
--- a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py
+++ b/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py
@@ -146,7 +146,7 @@ class TritonInferenceAILargeLanguageModel(LargeLanguageModel):
             elif credentials["completion_type"] == "completion":
                 completion_type = LLMMode.COMPLETION.value
             else:
-                raise ValueError(f'completion_type {credentials["completion_type"]} is not supported')
+                raise ValueError(f"completion_type {credentials['completion_type']} is not supported")
 
         entity = AIModelEntity(
             model=model,
diff --git a/api/core/model_runtime/model_providers/wenxin/_common.py b/api/core/model_runtime/model_providers/wenxin/_common.py
index 1247a11fe8..957cfce436 100644
--- a/api/core/model_runtime/model_providers/wenxin/_common.py
+++ b/api/core/model_runtime/model_providers/wenxin/_common.py
@@ -41,15 +41,15 @@ class BaiduAccessToken:
         resp = response.json()
         if "error" in resp:
             if resp["error"] == "invalid_client":
-                raise InvalidAPIKeyError(f'Invalid API key or secret key: {resp["error_description"]}')
+                raise InvalidAPIKeyError(f"Invalid API key or secret key: {resp['error_description']}")
             elif resp["error"] == "unknown_error":
-                raise InternalServerError(f'Internal server error: {resp["error_description"]}')
+                raise InternalServerError(f"Internal server error: {resp['error_description']}")
             elif resp["error"] == "invalid_request":
-                raise BadRequestError(f'Bad request: {resp["error_description"]}')
+                raise BadRequestError(f"Bad request: {resp['error_description']}")
             elif resp["error"] == "rate_limit_exceeded":
-                raise RateLimitReachedError(f'Rate limit reached: {resp["error_description"]}')
+                raise RateLimitReachedError(f"Rate limit reached: {resp['error_description']}")
             else:
-                raise Exception(f'Unknown error: {resp["error_description"]}')
+                raise Exception(f"Unknown error: {resp['error_description']}")
 
         return resp["access_token"]
 
diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py
index 7db1203641..e89b3ab613 100644
--- a/api/core/model_runtime/model_providers/xinference/llm/llm.py
+++ b/api/core/model_runtime/model_providers/xinference/llm/llm.py
@@ -406,7 +406,7 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
             elif credentials["completion_type"] == "completion":
                 completion_type = LLMMode.COMPLETION.value
             else:
-                raise ValueError(f'completion_type {credentials["completion_type"]} is not supported')
+                raise ValueError(f"completion_type {credentials['completion_type']} is not supported")
         else:
             extra_args = XinferenceHelper.get_xinference_extra_parameter(
                 server_url=credentials["server_url"],
@@ -472,7 +472,7 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
         api_key = credentials.get("api_key") or "abc"
 
         client = OpenAI(
-            base_url=f'{credentials["server_url"]}/v1',
+            base_url=f"{credentials['server_url']}/v1",
             api_key=api_key,
             max_retries=int(credentials.get("max_retries") or DEFAULT_MAX_RETRIES),
             timeout=int(credentials.get("invoke_timeout") or DEFAULT_INVOKE_TIMEOUT),
diff --git a/api/core/rag/extractor/firecrawl/firecrawl_app.py b/api/core/rag/extractor/firecrawl/firecrawl_app.py
index 8ae4579c7c..eac08aeb8b 100644
--- a/api/core/rag/extractor/firecrawl/firecrawl_app.py
+++ b/api/core/rag/extractor/firecrawl/firecrawl_app.py
@@ -31,7 +31,7 @@ class FirecrawlApp:
                     "markdown": data.get("markdown"),
                 }
             else:
-                raise Exception(f'Failed to scrape URL. Error: {response_data["error"]}')
+                raise Exception(f"Failed to scrape URL. Error: {response_data['error']}")
 
         elif response.status_code in {402, 409, 500}:
             error_message = response.json().get("error", "Unknown error occurred")
diff --git a/api/core/rag/extractor/notion_extractor.py b/api/core/rag/extractor/notion_extractor.py
index 41355d3fac..7ab248199a 100644
--- a/api/core/rag/extractor/notion_extractor.py
+++ b/api/core/rag/extractor/notion_extractor.py
@@ -358,8 +358,7 @@ class NotionExtractor(BaseExtractor):
 
         if not data_source_binding:
             raise Exception(
-                f"No notion data source binding found for tenant {tenant_id} "
-                f"and notion workspace {notion_workspace_id}"
+                f"No notion data source binding found for tenant {tenant_id} and notion workspace {notion_workspace_id}"
             )
 
         return cast(str, data_source_binding.access_token)
diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.py b/api/core/tools/provider/builtin/aippt/tools/aippt.py
index cf10f5d255..0430a6654c 100644
--- a/api/core/tools/provider/builtin/aippt/tools/aippt.py
+++ b/api/core/tools/provider/builtin/aippt/tools/aippt.py
@@ -127,7 +127,7 @@ class AIPPTGenerateToolAdapter:
 
         response = response.json()
         if response.get("code") != 0:
-            raise Exception(f'Failed to create task: {response.get("msg")}')
+            raise Exception(f"Failed to create task: {response.get('msg')}")
 
         return response.get("data", {}).get("id")
 
@@ -222,7 +222,7 @@ class AIPPTGenerateToolAdapter:
         elif model == "wenxin":
             response = response.json()
             if response.get("code") != 0:
-                raise Exception(f'Failed to generate content: {response.get("msg")}')
+                raise Exception(f"Failed to generate content: {response.get('msg')}")
 
             return response.get("data", "")
 
@@ -254,7 +254,7 @@ class AIPPTGenerateToolAdapter:
 
         response = response.json()
         if response.get("code") != 0:
-            raise Exception(f'Failed to generate ppt: {response.get("msg")}')
+            raise Exception(f"Failed to generate ppt: {response.get('msg')}")
 
         id = response.get("data", {}).get("id")
         cover_url = response.get("data", {}).get("cover_url")
@@ -270,7 +270,7 @@ class AIPPTGenerateToolAdapter:
 
         response = response.json()
         if response.get("code") != 0:
-            raise Exception(f'Failed to generate ppt: {response.get("msg")}')
+            raise Exception(f"Failed to generate ppt: {response.get('msg')}")
 
         export_code = response.get("data")
         if not export_code:
@@ -290,7 +290,7 @@ class AIPPTGenerateToolAdapter:
 
             response = response.json()
             if response.get("code") != 0:
-                raise Exception(f'Failed to generate ppt: {response.get("msg")}')
+                raise Exception(f"Failed to generate ppt: {response.get('msg')}")
 
             if response.get("msg") == "导出中":
                 current_iteration += 1
@@ -343,7 +343,7 @@ class AIPPTGenerateToolAdapter:
             raise Exception(f"Failed to connect to aippt: {response.text}")
         response = response.json()
         if response.get("code") != 0:
-            raise Exception(f'Failed to connect to aippt: {response.get("msg")}')
+            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
 
         token = response.get("data", {}).get("token")
         expire = response.get("data", {}).get("time_expire")
@@ -379,7 +379,7 @@ class AIPPTGenerateToolAdapter:
                 if cls._style_cache[key]["expire"] < now:
                     del cls._style_cache[key]
 
-            key = f'{credentials["aippt_access_key"]}#@#{user_id}'
+            key = f"{credentials['aippt_access_key']}#@#{user_id}"
             if key in cls._style_cache:
                 return cls._style_cache[key]["colors"], cls._style_cache[key]["styles"]
 
@@ -396,11 +396,11 @@ class AIPPTGenerateToolAdapter:
         response = response.json()
 
         if response.get("code") != 0:
-            raise Exception(f'Failed to connect to aippt: {response.get("msg")}')
+            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
 
         colors = [
             {
-                "id": f'id-{item.get("id")}',
+                "id": f"id-{item.get('id')}",
                 "name": item.get("name"),
                 "en_name": item.get("en_name", item.get("name")),
             }
@@ -408,7 +408,7 @@ class AIPPTGenerateToolAdapter:
         ]
         styles = [
             {
-                "id": f'id-{item.get("id")}',
+                "id": f"id-{item.get('id')}",
                 "name": item.get("title"),
             }
             for item in response.get("data", {}).get("suit_style") or []
@@ -454,7 +454,7 @@ class AIPPTGenerateToolAdapter:
         response = response.json()
 
         if response.get("code") != 0:
-            raise Exception(f'Failed to connect to aippt: {response.get("msg")}')
+            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
 
         if len(response.get("data", {}).get("list") or []) > 0:
             return response.get("data", {}).get("list")[0].get("id")
diff --git a/api/core/tools/provider/builtin/aws/tools/nova_reel.py b/api/core/tools/provider/builtin/aws/tools/nova_reel.py
index bfd3d302b2..848df0b36b 100644
--- a/api/core/tools/provider/builtin/aws/tools/nova_reel.py
+++ b/api/core/tools/provider/builtin/aws/tools/nova_reel.py
@@ -229,8 +229,7 @@ class NovaReelTool(BuiltinTool):
 
         if async_mode:
             return self.create_text_message(
-                f"Video generation started.\nInvocation ARN: {invocation_arn}\n"
-                f"Video will be available at: {video_uri}"
+                f"Video generation started.\nInvocation ARN: {invocation_arn}\nVideo will be available at: {video_uri}"
             )
 
         return self._wait_for_completion(bedrock, s3_client, invocation_arn)
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py
index bce259f31d..ff5cf32ddc 100644
--- a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py
+++ b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py
@@ -65,7 +65,7 @@ class BaiduFieldTranslateTool(BuiltinTool, BaiduTranslateToolBase):
             if "trans_result" in result:
                 result_text = result["trans_result"][0]["dst"]
             else:
-                result_text = f'{result["error_code"]}: {result["error_msg"]}'
+                result_text = f"{result['error_code']}: {result['error_msg']}"
 
             return self.create_text_message(str(result_text))
         except requests.RequestException as e:
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/language.py b/api/core/tools/provider/builtin/baidu_translate/tools/language.py
index 3bbaee88b3..b7fd692b7d 100644
--- a/api/core/tools/provider/builtin/baidu_translate/tools/language.py
+++ b/api/core/tools/provider/builtin/baidu_translate/tools/language.py
@@ -52,7 +52,7 @@ class BaiduLanguageTool(BuiltinTool, BaiduTranslateToolBase):
 
             result_text = ""
             if result["error_code"] != 0:
-                result_text = f'{result["error_code"]}: {result["error_msg"]}'
+                result_text = f"{result['error_code']}: {result['error_msg']}"
             else:
                 result_text = result["data"]["src"]
                 result_text = self.mapping_result(description_language, result_text)
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py b/api/core/tools/provider/builtin/baidu_translate/tools/translate.py
index 7cd816a3bc..0d25466a70 100644
--- a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py
+++ b/api/core/tools/provider/builtin/baidu_translate/tools/translate.py
@@ -58,7 +58,7 @@ class BaiduTranslateTool(BuiltinTool, BaiduTranslateToolBase):
             if "trans_result" in result:
                 result_text = result["trans_result"][0]["dst"]
             else:
-                result_text = f'{result["error_code"]}: {result["error_msg"]}'
+                result_text = f"{result['error_code']}: {result['error_msg']}"
 
             return self.create_text_message(str(result_text))
         except requests.RequestException as e:
diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py
index 1afe2f8385..0de6936983 100644
--- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py
+++ b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py
@@ -30,7 +30,7 @@ class BingSearchTool(BuiltinTool):
         headers = {"Ocp-Apim-Subscription-Key": subscription_key, "Accept-Language": accept_language}
 
         query = quote(query)
-        server_url = f'{server_url}?q={query}&mkt={market_code}&count={limit}&responseFilter={",".join(filters)}'
+        server_url = f"{server_url}?q={query}&mkt={market_code}&count={limit}&responseFilter={','.join(filters)}"
         response = get(server_url, headers=headers)
 
         if response.status_code != 200:
@@ -47,23 +47,23 @@ class BingSearchTool(BuiltinTool):
             results = []
             if search_results:
                 for result in search_results:
-                    url = f': {result["url"]}' if "url" in result else ""
-                    results.append(self.create_text_message(text=f'{result["name"]}{url}'))
+                    url = f": {result['url']}" if "url" in result else ""
+                    results.append(self.create_text_message(text=f"{result['name']}{url}"))
 
             if entities:
                 for entity in entities:
-                    url = f': {entity["url"]}' if "url" in entity else ""
-                    results.append(self.create_text_message(text=f'{entity.get("name", "")}{url}'))
+                    url = f": {entity['url']}" if "url" in entity else ""
+                    results.append(self.create_text_message(text=f"{entity.get('name', '')}{url}"))
 
             if news:
                 for news_item in news:
-                    url = f': {news_item["url"]}' if "url" in news_item else ""
-                    results.append(self.create_text_message(text=f'{news_item.get("name", "")}{url}'))
+                    url = f": {news_item['url']}" if "url" in news_item else ""
+                    results.append(self.create_text_message(text=f"{news_item.get('name', '')}{url}"))
 
             if related_searches:
                 for related in related_searches:
-                    url = f': {related["displayText"]}' if "displayText" in related else ""
-                    results.append(self.create_text_message(text=f'{related.get("displayText", "")}{url}'))
+                    url = f": {related['displayText']}" if "displayText" in related else ""
+                    results.append(self.create_text_message(text=f"{related.get('displayText', '')}{url}"))
 
             return results
         elif result_type == "json":
@@ -106,29 +106,29 @@ class BingSearchTool(BuiltinTool):
             text = ""
             if search_results:
                 for i, result in enumerate(search_results):
-                    text += f'{i + 1}: {result.get("name", "")} - {result.get("snippet", "")}\n'
+                    text += f"{i + 1}: {result.get('name', '')} - {result.get('snippet', '')}\n"
 
             if computation and "expression" in computation and "value" in computation:
                 text += "\nComputation:\n"
-                text += f'{computation["expression"]} = {computation["value"]}\n'
+                text += f"{computation['expression']} = {computation['value']}\n"
 
             if entities:
                 text += "\nEntities:\n"
                 for entity in entities:
-                    url = f'- {entity["url"]}' if "url" in entity else ""
-                    text += f'{entity.get("name", "")}{url}\n'
+                    url = f"- {entity['url']}" if "url" in entity else ""
+                    text += f"{entity.get('name', '')}{url}\n"
 
             if news:
                 text += "\nNews:\n"
                 for news_item in news:
-                    url = f'- {news_item["url"]}' if "url" in news_item else ""
-                    text += f'{news_item.get("name", "")}{url}\n'
+                    url = f"- {news_item['url']}" if "url" in news_item else ""
+                    text += f"{news_item.get('name', '')}{url}\n"
 
             if related_searches:
                 text += "\n\nRelated Searches:\n"
                 for related in related_searches:
-                    url = f'- {related["webSearchUrl"]}' if "webSearchUrl" in related else ""
-                    text += f'{related.get("displayText", "")}{url}\n'
+                    url = f"- {related['webSearchUrl']}" if "webSearchUrl" in related else ""
+                    text += f"{related.get('displayText', '')}{url}\n"
 
             return self.create_text_message(text=self.summary(user_id=user_id, content=text))
 
diff --git a/api/core/tools/provider/builtin/did/did_appx.py b/api/core/tools/provider/builtin/did/did_appx.py
index c68878630d..dca62f9e19 100644
--- a/api/core/tools/provider/builtin/did/did_appx.py
+++ b/api/core/tools/provider/builtin/did/did_appx.py
@@ -83,5 +83,5 @@ class DIDApp:
             if status["status"] == "done":
                 return status
             elif status["status"] == "error" or status["status"] == "rejected":
-                raise HTTPError(f'Talks {id} failed: {status["status"]} {status.get("error", {}).get("description")}')
+                raise HTTPError(f"Talks {id} failed: {status['status']} {status.get('error', {}).get('description')}")
             time.sleep(poll_interval)
diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py b/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py
index d9fb6f04bc..14596bf93f 100644
--- a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py
+++ b/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py
@@ -74,7 +74,7 @@ class FirecrawlApp:
         if response is None:
             raise HTTPError("Failed to initiate crawl after multiple retries")
         elif response.get("success") == False:
-            raise HTTPError(f'Failed to crawl: {response.get("error")}')
+            raise HTTPError(f"Failed to crawl: {response.get('error')}")
         job_id: str = response["id"]
         if wait:
             return self._monitor_job_status(job_id=job_id, poll_interval=poll_interval)
@@ -100,7 +100,7 @@ class FirecrawlApp:
             if status["status"] == "completed":
                 return status
             elif status["status"] == "failed":
-                raise HTTPError(f'Job {job_id} failed: {status["error"]}')
+                raise HTTPError(f"Job {job_id} failed: {status['error']}")
             time.sleep(poll_interval)
 
 
diff --git a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py
index ea06e2ce61..4642415e6d 100644
--- a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py
+++ b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py
@@ -37,8 +37,9 @@ class GaodeRepositoriesTool(BuiltinTool):
                     CityCode = City_data["districts"][0]["adcode"]
                     weatherInfo_response = s.request(
                         method="GET",
-                        url="{url}/weather/weatherInfo?city={citycode}&extensions=all&key={apikey}&output=json"
-                        "".format(url=api_domain, citycode=CityCode, apikey=self.runtime.credentials.get("api_key")),
+                        url="{url}/weather/weatherInfo?city={citycode}&extensions=all&key={apikey}&output=json".format(
+                            url=api_domain, citycode=CityCode, apikey=self.runtime.credentials.get("api_key")
+                        ),
                     )
                     weatherInfo_data = weatherInfo_response.json()
                     if weatherInfo_response.status_code == 200 and weatherInfo_data.get("info") == "OK":
diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py
index d6ac3688b7..9e43d5c532 100644
--- a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py
+++ b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py
@@ -110,7 +110,7 @@ class ListWorksheetRecordsTool(BuiltinTool):
                             result["rows"].append(self.get_row_field_value(row, schema))
                         return self.create_text_message(json.dumps(result, ensure_ascii=False))
                     else:
-                        result_text = f"Found {result['total']} rows in worksheet \"{worksheet_name}\"."
+                        result_text = f'Found {result["total"]} rows in worksheet "{worksheet_name}".'
                         if result["total"] > 0:
                             result_text += (
                                 f" The following are {min(limit, result['total'])}"
diff --git a/api/core/tools/provider/builtin/stability/tools/base.py b/api/core/tools/provider/builtin/stability/tools/base.py
index c3b7edbefa..2d1cd92870 100644
--- a/api/core/tools/provider/builtin/stability/tools/base.py
+++ b/api/core/tools/provider/builtin/stability/tools/base.py
@@ -28,4 +28,4 @@ class BaseStabilityAuthorization:
         """
         This method is responsible for generating the authorization headers.
         """
-        return {"Authorization": f'Bearer {credentials.get("api_key", "")}'}
+        return {"Authorization": f"Bearer {credentials.get('api_key', '')}"}
diff --git a/api/core/tools/provider/builtin/vanna/vanna.py b/api/core/tools/provider/builtin/vanna/vanna.py
index 1d71414bf3..4f9cac2beb 100644
--- a/api/core/tools/provider/builtin/vanna/vanna.py
+++ b/api/core/tools/provider/builtin/vanna/vanna.py
@@ -38,7 +38,7 @@ class VannaProvider(BuiltinToolProviderController):
                 tool_parameters={
                     "model": "chinook",
                     "db_type": "SQLite",
-                    "url": f'{self._get_protocol_and_main_domain(credentials["base_url"])}/Chinook.sqlite',
+                    "url": f"{self._get_protocol_and_main_domain(credentials['base_url'])}/Chinook.sqlite",
                     "query": "What are the top 10 customers by sales?",
                 },
             )
diff --git a/api/core/tools/tool/api_tool.py b/api/core/tools/tool/api_tool.py
index 7d27c4fcf1..6904fecb46 100644
--- a/api/core/tools/tool/api_tool.py
+++ b/api/core/tools/tool/api_tool.py
@@ -84,9 +84,9 @@ class ApiTool(Tool):
             if "api_key_header_prefix" in credentials:
                 api_key_header_prefix = credentials["api_key_header_prefix"]
                 if api_key_header_prefix == "basic" and credentials["api_key_value"]:
-                    credentials["api_key_value"] = f'Basic {credentials["api_key_value"]}'
+                    credentials["api_key_value"] = f"Basic {credentials['api_key_value']}"
                 elif api_key_header_prefix == "bearer" and credentials["api_key_value"]:
-                    credentials["api_key_value"] = f'Bearer {credentials["api_key_value"]}'
+                    credentials["api_key_value"] = f"Bearer {credentials['api_key_value']}"
                 elif api_key_header_prefix == "custom":
                     pass
 
diff --git a/api/core/tools/utils/message_transformer.py b/api/core/tools/utils/message_transformer.py
index 3509f1e6e5..b28953264c 100644
--- a/api/core/tools/utils/message_transformer.py
+++ b/api/core/tools/utils/message_transformer.py
@@ -29,7 +29,7 @@ class ToolFileMessageTransformer:
                         user_id=user_id, tenant_id=tenant_id, conversation_id=conversation_id, file_url=message.message
                     )
 
-                    url = f'/files/tools/{file.id}{guess_extension(file.mimetype) or ".png"}'
+                    url = f"/files/tools/{file.id}{guess_extension(file.mimetype) or '.png'}"
 
                     result.append(
                         ToolInvokeMessage(
@@ -122,4 +122,4 @@ class ToolFileMessageTransformer:
 
     @classmethod
     def get_tool_file_url(cls, tool_file_id: str, extension: Optional[str]) -> str:
-        return f'/files/tools/{tool_file_id}{extension or ".bin"}'
+        return f"/files/tools/{tool_file_id}{extension or '.bin'}"
diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py
index 9d88d6d6ef..b15a86b5c0 100644
--- a/api/core/tools/utils/parser.py
+++ b/api/core/tools/utils/parser.py
@@ -149,7 +149,7 @@ class ApiBasedToolSchemaParser:
                 if not path:
                     path = str(uuid.uuid4())
 
-                interface["operation"]["operationId"] = f'{path}_{interface["method"]}'
+                interface["operation"]["operationId"] = f"{path}_{interface['method']}"
 
             bundles.append(
                 ApiToolBundle(
diff --git a/api/core/workflow/nodes/http_request/executor.py b/api/core/workflow/nodes/http_request/executor.py
index 87b71394e4..5ed2cd6164 100644
--- a/api/core/workflow/nodes/http_request/executor.py
+++ b/api/core/workflow/nodes/http_request/executor.py
@@ -253,9 +253,9 @@ class Executor:
         )
         if executor_response.size > threshold_size:
             raise ResponseSizeError(
-                f'{"File" if executor_response.is_file else "Text"} size is too large,'
-                f' max size is {threshold_size / 1024 / 1024:.2f} MB,'
-                f' but current size is {executor_response.readable_size}.'
+                f"{'File' if executor_response.is_file else 'Text'} size is too large,"
+                f" max size is {threshold_size / 1024 / 1024:.2f} MB,"
+                f" but current size is {executor_response.readable_size}."
             )
 
         return executor_response
@@ -338,7 +338,7 @@ class Executor:
                 if self.auth.config and self.auth.config.header:
                     authorization_header = self.auth.config.header
                 if k.lower() == authorization_header.lower():
-                    raw += f'{k}: {"*" * len(v)}\r\n'
+                    raw += f"{k}: {'*' * len(v)}\r\n"
                     continue
             raw += f"{k}: {v}\r\n"
 
diff --git a/api/events/event_handlers/delete_tool_parameters_cache_when_sync_draft_workflow.py b/api/events/event_handlers/delete_tool_parameters_cache_when_sync_draft_workflow.py
index f89fae24a5..249bd14429 100644
--- a/api/events/event_handlers/delete_tool_parameters_cache_when_sync_draft_workflow.py
+++ b/api/events/event_handlers/delete_tool_parameters_cache_when_sync_draft_workflow.py
@@ -26,7 +26,7 @@ def handle(sender, **kwargs):
                     tool_runtime=tool_runtime,
                     provider_name=tool_entity.provider_name,
                     provider_type=tool_entity.provider_type,
-                    identity_id=f'WORKFLOW.{app.id}.{node_data.get("id")}',
+                    identity_id=f"WORKFLOW.{app.id}.{node_data.get('id')}",
                 )
                 manager.delete_tool_parameters_cache()
             except:
diff --git a/api/poetry.lock b/api/poetry.lock
index 7feb942a7f..55dbee2d53 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -8846,29 +8846,29 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruff"
-version = "0.8.6"
+version = "0.9.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.8.6-py3-none-linux_armv6l.whl", hash = "sha256:defed167955d42c68b407e8f2e6f56ba52520e790aba4ca707a9c88619e580e3"},
-    {file = "ruff-0.8.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:54799ca3d67ae5e0b7a7ac234baa657a9c1784b48ec954a094da7c206e0365b1"},
-    {file = "ruff-0.8.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e88b8f6d901477c41559ba540beeb5a671e14cd29ebd5683903572f4b40a9807"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0509e8da430228236a18a677fcdb0c1f102dd26d5520f71f79b094963322ed25"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91a7ddb221779871cf226100e677b5ea38c2d54e9e2c8ed847450ebbdf99b32d"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:248b1fb3f739d01d528cc50b35ee9c4812aa58cc5935998e776bf8ed5b251e75"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:bc3c083c50390cf69e7e1b5a5a7303898966be973664ec0c4a4acea82c1d4315"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52d587092ab8df308635762386f45f4638badb0866355b2b86760f6d3c076188"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:61323159cf21bc3897674e5adb27cd9e7700bab6b84de40d7be28c3d46dc67cf"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ae4478b1471fc0c44ed52a6fb787e641a2ac58b1c1f91763bafbc2faddc5117"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:0c000a471d519b3e6cfc9c6680025d923b4ca140ce3e4612d1a2ef58e11f11fe"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9257aa841e9e8d9b727423086f0fa9a86b6b420fbf4bf9e1465d1250ce8e4d8d"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:45a56f61b24682f6f6709636949ae8cc82ae229d8d773b4c76c09ec83964a95a"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:496dd38a53aa173481a7d8866bcd6451bd934d06976a2505028a50583e001b76"},
-    {file = "ruff-0.8.6-py3-none-win32.whl", hash = "sha256:e169ea1b9eae61c99b257dc83b9ee6c76f89042752cb2d83486a7d6e48e8f764"},
-    {file = "ruff-0.8.6-py3-none-win_amd64.whl", hash = "sha256:f1d70bef3d16fdc897ee290d7d20da3cbe4e26349f62e8a0274e7a3f4ce7a905"},
-    {file = "ruff-0.8.6-py3-none-win_arm64.whl", hash = "sha256:7d7fc2377a04b6e04ffe588caad613d0c460eb2ecba4c0ccbbfe2bc973cbc162"},
-    {file = "ruff-0.8.6.tar.gz", hash = "sha256:dcad24b81b62650b0eb8814f576fc65cfee8674772a6e24c9b747911801eeaa5"},
+    {file = "ruff-0.9.2-py3-none-linux_armv6l.whl", hash = "sha256:80605a039ba1454d002b32139e4970becf84b5fee3a3c3bf1c2af6f61a784347"},
+    {file = "ruff-0.9.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b9aab82bb20afd5f596527045c01e6ae25a718ff1784cb92947bff1f83068b00"},
+    {file = "ruff-0.9.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fbd337bac1cfa96be615f6efcd4bc4d077edbc127ef30e2b8ba2a27e18c054d4"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82b35259b0cbf8daa22a498018e300b9bb0174c2bbb7bcba593935158a78054d"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8b6a9701d1e371bf41dca22015c3f89769da7576884d2add7317ec1ec8cb9c3c"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9cc53e68b3c5ae41e8faf83a3b89f4a5d7b2cb666dff4b366bb86ed2a85b481f"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:8efd9da7a1ee314b910da155ca7e8953094a7c10d0c0a39bfde3fcfd2a015684"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3292c5a22ea9a5f9a185e2d131dc7f98f8534a32fb6d2ee7b9944569239c648d"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a605fdcf6e8b2d39f9436d343d1f0ff70c365a1e681546de0104bef81ce88df"},
+    {file = "ruff-0.9.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c547f7f256aa366834829a08375c297fa63386cbe5f1459efaf174086b564247"},
+    {file = "ruff-0.9.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:d18bba3d3353ed916e882521bc3e0af403949dbada344c20c16ea78f47af965e"},
+    {file = "ruff-0.9.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:b338edc4610142355ccf6b87bd356729b62bf1bc152a2fad5b0c7dc04af77bfe"},
+    {file = "ruff-0.9.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:492a5e44ad9b22a0ea98cf72e40305cbdaf27fac0d927f8bc9e1df316dcc96eb"},
+    {file = "ruff-0.9.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:af1e9e9fe7b1f767264d26b1075ac4ad831c7db976911fa362d09b2d0356426a"},
+    {file = "ruff-0.9.2-py3-none-win32.whl", hash = "sha256:71cbe22e178c5da20e1514e1e01029c73dc09288a8028a5d3446e6bba87a5145"},
+    {file = "ruff-0.9.2-py3-none-win_amd64.whl", hash = "sha256:c5e1d6abc798419cf46eed03f54f2e0c3adb1ad4b801119dedf23fcaf69b55b5"},
+    {file = "ruff-0.9.2-py3-none-win_arm64.whl", hash = "sha256:a1b63fa24149918f8b37cef2ee6fff81f24f0d74b6f0bdc37bc3e1f2143e41c6"},
+    {file = "ruff-0.9.2.tar.gz", hash = "sha256:b5eceb334d55fae5f316f783437392642ae18e16dcf4f1858d55d3c2a0f8f5d0"},
 ]
 
 [[package]]
@@ -11384,4 +11384,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "3bb0ce64c87712cf105c75105a0ca75c0523d6b27001ff6a623bb2a0d1343003"
+content-hash = "3ac10f0687162281a0cd083a52cba5508b086dd42d63dd68175209e88b249142"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 6e2ba4cdb4..77b7c13f5a 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -191,4 +191,4 @@ pytest-mock = "~3.14.0"
 optional = true
 [tool.poetry.group.lint.dependencies]
 dotenv-linter = "~0.5.0"
-ruff = "~0.8.1"
+ruff = "~0.9.2"
diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index c55555451b..9459be64c5 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -221,8 +221,7 @@ class DatasetService:
                 )
             except LLMBadRequestError:
                 raise ValueError(
-                    "No Embedding Model available. Please configure a valid provider "
-                    "in the Settings -> Model Provider."
+                    "No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
                 )
             except ProviderTokenNotInitError as ex:
                 raise ValueError(f"The dataset in unavailable, due to: {ex.description}")
diff --git a/api/services/external_knowledge_service.py b/api/services/external_knowledge_service.py
index 898624066b..8916a951c7 100644
--- a/api/services/external_knowledge_service.py
+++ b/api/services/external_knowledge_service.py
@@ -155,7 +155,7 @@ class ExternalDatasetService:
             if custom_parameters:
                 for parameter in custom_parameters:
                     if parameter.get("required", False) and not process_parameter.get(parameter.get("name")):
-                        raise ValueError(f'{parameter.get("name")} is required')
+                        raise ValueError(f"{parameter.get('name')} is required")
 
     @staticmethod
     def process_external_api(
diff --git a/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py b/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py
index 57fba31763..0ec0783112 100644
--- a/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py
+++ b/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py
@@ -44,6 +44,6 @@ def test_duplicated_dependency_crossing_groups() -> None:
         dependency_names = list(dependencies.keys())
         all_dependency_names.extend(dependency_names)
     expected_all_dependency_names = set(all_dependency_names)
-    assert sorted(expected_all_dependency_names) == sorted(
-        all_dependency_names
-    ), "Duplicated dependencies crossing groups are found"
+    assert sorted(expected_all_dependency_names) == sorted(all_dependency_names), (
+        "Duplicated dependencies crossing groups are found"
+    )
diff --git a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py
index 2666ce2e1e..35eed75c2f 100644
--- a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py
+++ b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py
@@ -89,9 +89,9 @@ class TestOpenSearchVector:
         print("Actual document ID:", hits_by_vector[0].metadata["document_id"] if hits_by_vector else "No hits")
 
         assert len(hits_by_vector) > 0, f"Expected at least one hit, got {len(hits_by_vector)}"
-        assert (
-            hits_by_vector[0].metadata["document_id"] == self.example_doc_id
-        ), f"Expected document ID {self.example_doc_id}, got {hits_by_vector[0].metadata['document_id']}"
+        assert hits_by_vector[0].metadata["document_id"] == self.example_doc_id, (
+            f"Expected document ID {self.example_doc_id}, got {hits_by_vector[0].metadata['document_id']}"
+        )
 
     def test_get_ids_by_metadata_field(self):
         mock_response = {"hits": {"total": {"value": 1}, "hits": [{"_id": "mock_id"}]}}
diff --git a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
index 7e979bcaa8..74af5eb56b 100644
--- a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
+++ b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
@@ -438,9 +438,9 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
 
         # Verify the result
         assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
-        assert (
-            prompt_messages == scenario.expected_messages
-        ), f"Message content mismatch in scenario: {scenario.description}"
+        assert prompt_messages == scenario.expected_messages, (
+            f"Message content mismatch in scenario: {scenario.description}"
+        )
 
 
 def test_handle_list_messages_basic(llm_node):
diff --git a/api/tests/unit_tests/services/workflow/test_workflow_converter.py b/api/tests/unit_tests/services/workflow/test_workflow_converter.py
index 805d92dfc9..0a09167349 100644
--- a/api/tests/unit_tests/services/workflow/test_workflow_converter.py
+++ b/api/tests/unit_tests/services/workflow/test_workflow_converter.py
@@ -401,8 +401,7 @@ def test__convert_to_llm_node_for_workflow_advanced_completion_model(default_var
     prompt_template = PromptTemplateEntity(
         prompt_type=PromptTemplateEntity.PromptType.ADVANCED,
         advanced_completion_prompt_template=AdvancedCompletionPromptTemplateEntity(
-            prompt="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}\n\n"
-            "Human: hi\nAssistant: ",
+            prompt="You are a helpful assistant named {{name}}.\n\nContext:\n{{#context#}}\n\nHuman: hi\nAssistant: ",
             role_prefix=AdvancedCompletionPromptTemplateEntity.RolePrefixEntity(user="Human", assistant="Assistant"),
         ),
     )

From 9aaee8ee47bd18d8917dfe783f89a7b2fbffe3b6 Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Tue, 21 Jan 2025 10:25:35 +0800
Subject: [PATCH 042/217] fix: Issues related to the deletion of
 conversation_id (#12488) (#12665)

---
 api/core/app/apps/message_based_app_generator.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/api/core/app/apps/message_based_app_generator.py b/api/core/app/apps/message_based_app_generator.py
index 4e3aa840ce..cccd62cd5b 100644
--- a/api/core/app/apps/message_based_app_generator.py
+++ b/api/core/app/apps/message_based_app_generator.py
@@ -89,6 +89,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
             Conversation.id == conversation_id,
             Conversation.app_id == app_model.id,
             Conversation.status == "normal",
+            Conversation.is_deleted.is_(False),
         ]
 
         if isinstance(user, Account):

From 6fad719e4205d757a37acb2d5ddb8a87787b9097 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Tue, 21 Jan 2025 10:38:44 +0800
Subject: [PATCH 043/217] chore(fix): Invalid quotes for using Array[String] in
 HTTP request node as JSON body (#12761)

---
 api/core/variables/segments.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/api/core/variables/segments.py b/api/core/variables/segments.py
index 69bd5567a4..a9f5651692 100644
--- a/api/core/variables/segments.py
+++ b/api/core/variables/segments.py
@@ -134,6 +134,10 @@ class ArrayStringSegment(ArraySegment):
     value_type: SegmentType = SegmentType.ARRAY_STRING
     value: Sequence[str]
 
+    @property
+    def text(self) -> str:
+        return json.dumps(self.value)
+
 
 class ArrayNumberSegment(ArraySegment):
     value_type: SegmentType = SegmentType.ARRAY_NUMBER

From 9903f1e703489c895d82ff2cad4e107a2b7714e0 Mon Sep 17 00:00:00 2001
From: JasonVV <jasonwangiii@outlook.com>
Date: Tue, 21 Jan 2025 12:40:58 +0800
Subject: [PATCH 044/217] add deepseek-reasoner (#12898)

---
 .../model_providers/deepseek/llm/_position.yaml  |  1 +
 .../deepseek/llm/deepseek-reasoner.yaml          | 16 ++++++++++++++++
 2 files changed, 17 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml

diff --git a/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml b/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml
index 43d03f2ee9..eeac8aa405 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml
@@ -1,2 +1,3 @@
 - deepseek-chat
 - deepseek-coder
+- deepseek-reasoner
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
new file mode 100644
index 0000000000..4a025d5ae9
--- /dev/null
+++ b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
@@ -0,0 +1,16 @@
+model: deepseek-reasoner
+label:
+  zh_Hans: deepseek-reasoner
+  en_US: deepseek-reasoner
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096

From 0c6a8a130ec8da06ed396a18dfb07719a906896b Mon Sep 17 00:00:00 2001
From: le0zh <newlight@qq.com>
Date: Tue, 21 Jan 2025 14:31:45 +0800
Subject: [PATCH 045/217] fix: external dataset hit test display issue(#12564)
 (#12612)

Co-authored-by: zhuxinliang <zhuxinliang@didiglobal.com>
---
 .../components/result-item-external.tsx       | 60 +++++++++++++++++++
 .../components/result-item-footer.tsx         | 42 +++++++++++++
 .../components/result-item-meta.tsx           | 45 ++++++++++++++
 .../hit-testing/components/result-item.tsx    | 41 +++----------
 .../components/datasets/hit-testing/index.tsx | 31 ++++++----
 .../datasets/hit-testing/textarea.tsx         |  1 +
 6 files changed, 174 insertions(+), 46 deletions(-)
 create mode 100644 web/app/components/datasets/hit-testing/components/result-item-external.tsx
 create mode 100644 web/app/components/datasets/hit-testing/components/result-item-footer.tsx
 create mode 100644 web/app/components/datasets/hit-testing/components/result-item-meta.tsx

diff --git a/web/app/components/datasets/hit-testing/components/result-item-external.tsx b/web/app/components/datasets/hit-testing/components/result-item-external.tsx
new file mode 100644
index 0000000000..000b56d914
--- /dev/null
+++ b/web/app/components/datasets/hit-testing/components/result-item-external.tsx
@@ -0,0 +1,60 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import { useBoolean } from 'ahooks'
+import ResultItemMeta from './result-item-meta'
+import ResultItemFooter from './result-item-footer'
+import type { ExternalKnowledgeBaseHitTesting } from '@/models/datasets'
+import cn from '@/utils/classnames'
+import Modal from '@/app/components/base/modal'
+import { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types'
+
+const i18nPrefix = 'datasetHitTesting'
+type Props = {
+  payload: ExternalKnowledgeBaseHitTesting
+  positionId: number
+}
+
+const ResultItemExternal: FC<Props> = ({ payload, positionId }) => {
+  const { t } = useTranslation()
+  const { content, title, score } = payload
+  const [
+    isShowDetailModal,
+    { setTrue: showDetailModal, setFalse: hideDetailModal },
+  ] = useBoolean(false)
+
+  return (
+    <div className={cn('pt-3 bg-chat-bubble-bg rounded-xl hover:shadow-lg cursor-pointer')} onClick={showDetailModal}>
+      {/* Meta info */}
+      <ResultItemMeta className='px-3' labelPrefix={'Chunk'} positionId={positionId} wordCount={content.length} score={score} />
+
+      {/* Main */}
+      <div className='mt-1 px-3'>
+        <div className='line-clamp-2 body-md-regular break-all'>{content}</div>
+      </div>
+
+      {/* Foot */}
+      <ResultItemFooter docType={FileAppearanceTypeEnum.custom} docTitle={title} showDetailModal={showDetailModal} />
+
+      {isShowDetailModal && (
+        <Modal
+          title={t(`${i18nPrefix}.chunkDetail`)}
+          className={'!min-w-[800px]'}
+          closable
+          onClose={hideDetailModal}
+          isShow={isShowDetailModal}
+        >
+          <div className='mt-4 flex-1'>
+            <ResultItemMeta labelPrefix={'Chunk'} positionId={positionId} wordCount={content.length} score={score} />
+            <div className={cn('mt-2 body-md-regular text-text-secondary break-all', 'h-[min(539px,_80vh)] overflow-y-auto')}>
+              {content}
+            </div>
+          </div>
+        </Modal>
+      )}
+    </div>
+  )
+}
+
+export default React.memo(ResultItemExternal)
diff --git a/web/app/components/datasets/hit-testing/components/result-item-footer.tsx b/web/app/components/datasets/hit-testing/components/result-item-footer.tsx
new file mode 100644
index 0000000000..66b053ba0b
--- /dev/null
+++ b/web/app/components/datasets/hit-testing/components/result-item-footer.tsx
@@ -0,0 +1,42 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import { RiArrowRightUpLine } from '@remixicon/react'
+import FileIcon from '@/app/components/base/file-uploader/file-type-icon'
+import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types'
+
+type Props = {
+  docType: FileAppearanceTypeEnum
+  docTitle: string
+  showDetailModal: () => void
+}
+const i18nPrefix = 'datasetHitTesting'
+
+const ResultItemFooter: FC<Props> = ({
+  docType,
+  docTitle,
+  showDetailModal,
+}) => {
+  const { t } = useTranslation()
+
+  return (
+    <div className="mt-3 flex justify-between items-center h-10 pl-3 pr-2 border-t border-divider-subtle">
+      <div className="grow flex items-center space-x-1">
+        <FileIcon type={docType} size="sm" />
+        <span className="grow w-0 truncate text-text-secondary text-[13px] font-normal">
+          {docTitle}
+        </span>
+      </div>
+      <div
+        className="flex items-center space-x-1 cursor-pointer text-text-tertiary"
+        onClick={showDetailModal}
+      >
+        <div className="text-xs uppercase">{t(`${i18nPrefix}.open`)}</div>
+        <RiArrowRightUpLine className="size-3.5" />
+      </div>
+    </div>
+  )
+}
+
+export default React.memo(ResultItemFooter)
diff --git a/web/app/components/datasets/hit-testing/components/result-item-meta.tsx b/web/app/components/datasets/hit-testing/components/result-item-meta.tsx
new file mode 100644
index 0000000000..87267aa8b8
--- /dev/null
+++ b/web/app/components/datasets/hit-testing/components/result-item-meta.tsx
@@ -0,0 +1,45 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import { SegmentIndexTag } from '../../documents/detail/completed/common/segment-index-tag'
+import Dot from '../../documents/detail/completed/common/dot'
+import Score from './score'
+import cn from '@/utils/classnames'
+
+type Props = {
+  labelPrefix: string
+  positionId: number
+  wordCount: number
+  score: number
+  className?: string
+}
+
+const ResultItemMeta: FC<Props> = ({
+  labelPrefix,
+  positionId,
+  wordCount,
+  score,
+  className,
+}) => {
+  const { t } = useTranslation()
+
+  return (
+    <div className={cn('flex justify-between items-center', className)}>
+      <div className="flex items-center space-x-2">
+        <SegmentIndexTag
+          labelPrefix={labelPrefix}
+          positionId={positionId}
+          className={cn('w-fit group-hover:opacity-100')}
+        />
+        <Dot />
+        <div className="system-xs-medium text-text-tertiary">
+          {wordCount} {t('datasetDocuments.segment.characters', { count: wordCount })}
+        </div>
+      </div>
+      <Score value={score} />
+    </div>
+  )
+}
+
+export default React.memo(ResultItemMeta)
diff --git a/web/app/components/datasets/hit-testing/components/result-item.tsx b/web/app/components/datasets/hit-testing/components/result-item.tsx
index 3c8c146d53..16bc40f67c 100644
--- a/web/app/components/datasets/hit-testing/components/result-item.tsx
+++ b/web/app/components/datasets/hit-testing/components/result-item.tsx
@@ -2,33 +2,29 @@
 import type { FC } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
-import { RiArrowDownSLine, RiArrowRightSLine, RiArrowRightUpLine } from '@remixicon/react'
+import { RiArrowDownSLine, RiArrowRightSLine } from '@remixicon/react'
 import { useBoolean } from 'ahooks'
-import { SegmentIndexTag } from '../../documents/detail/completed/common/segment-index-tag'
-import Dot from '../../documents/detail/completed/common/dot'
-import Score from './score'
 import ChildChunkItem from './child-chunks-item'
 import ChunkDetailModal from './chunk-detail-modal'
+import ResultItemMeta from './result-item-meta'
+import ResultItemFooter from './result-item-footer'
 import type { HitTesting } from '@/models/datasets'
 import cn from '@/utils/classnames'
-import FileIcon from '@/app/components/base/file-uploader/file-type-icon'
 import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types'
 import Tag from '@/app/components/datasets/documents/detail/completed/common/tag'
 import { extensionToFileType } from '@/app/components/datasets/hit-testing/utils/extension-to-file-type'
 
 const i18nPrefix = 'datasetHitTesting'
 type Props = {
-  isExternal: boolean
   payload: HitTesting
 }
 
 const ResultItem: FC<Props> = ({
-  isExternal,
   payload,
 }) => {
   const { t } = useTranslation()
-  const { segment, content: externalContent, score, child_chunks } = payload
-  const data = isExternal ? externalContent : segment
+  const { segment, score, child_chunks } = payload
+  const data = segment
   const { position, word_count, content, keywords, document } = data
   const isParentChildRetrieval = !!(child_chunks && child_chunks.length > 0)
   const extension = document.name.split('.').slice(-1)[0] as FileAppearanceTypeEnum
@@ -46,18 +42,7 @@ const ResultItem: FC<Props> = ({
   return (
     <div className={cn('pt-3 bg-chat-bubble-bg rounded-xl hover:shadow-lg cursor-pointer')} onClick={showDetailModal}>
       {/* Meta info */}
-      <div className='flex justify-between items-center px-3'>
-        <div className='flex items-center space-x-2'>
-          <SegmentIndexTag
-            labelPrefix={`${isParentChildRetrieval ? 'Parent-' : ''}Chunk`}
-            positionId={position}
-            className={cn('w-fit group-hover:opacity-100')}
-          />
-          <Dot />
-          <div className='system-xs-medium text-text-tertiary'>{word_count} {t('datasetDocuments.segment.characters', { count: word_count })}</div>
-        </div>
-        <Score value={score} />
-      </div>
+      <ResultItemMeta className='px-3' labelPrefix={`${isParentChildRetrieval ? 'Parent-' : ''}Chunk`} positionId={position} wordCount={word_count} score={score} />
 
       {/* Main */}
       <div className='mt-1 px-3'>
@@ -88,19 +73,7 @@ const ResultItem: FC<Props> = ({
         )}
       </div>
       {/* Foot */}
-      <div className='mt-3 flex justify-between items-center h-10 pl-3 pr-2 border-t border-divider-subtle'>
-        <div className='grow flex items-center space-x-1'>
-          <FileIcon type={fileType} size='sm' />
-          <span className='grow w-0 truncate text-text-secondary text-[13px] font-normal'>{document.name}</span>
-        </div>
-        <div
-          className='flex items-center space-x-1 cursor-pointer text-text-tertiary'
-          onClick={showDetailModal}
-        >
-          <div className='text-xs uppercase'>{t(`${i18nPrefix}.open`)}</div>
-          <RiArrowRightUpLine className='size-3.5' />
-        </div>
-      </div>
+      <ResultItemFooter docType={fileType} docTitle={document.name} showDetailModal={showDetailModal} />
 
       {
         isShowDetailModal && (
diff --git a/web/app/components/datasets/hit-testing/index.tsx b/web/app/components/datasets/hit-testing/index.tsx
index ccc200bbe6..33f2acc65b 100644
--- a/web/app/components/datasets/hit-testing/index.tsx
+++ b/web/app/components/datasets/hit-testing/index.tsx
@@ -12,8 +12,9 @@ import Textarea from './textarea'
 import s from './style.module.css'
 import ModifyRetrievalModal from './modify-retrieval-modal'
 import ResultItem from './components/result-item'
+import ResultItemExternal from './components/result-item-external'
 import cn from '@/utils/classnames'
-import type { ExternalKnowledgeBaseHitTestingResponse, HitTestingResponse } from '@/models/datasets'
+import type { ExternalKnowledgeBaseHitTesting, ExternalKnowledgeBaseHitTestingResponse, HitTesting, HitTestingResponse } from '@/models/datasets'
 import Loading from '@/app/components/base/loading'
 import Drawer from '@/app/components/base/drawer'
 import Pagination from '@/app/components/base/pagination'
@@ -41,7 +42,7 @@ const RecordsEmpty: FC = () => {
   </div>
 }
 
-const HitTesting: FC<Props> = ({ datasetId }: Props) => {
+const HitTestingPage: FC<Props> = ({ datasetId }: Props) => {
   const { t } = useTranslation()
   const { formatTime } = useTimestamp()
 
@@ -68,19 +69,25 @@ const HitTesting: FC<Props> = ({ datasetId }: Props) => {
   const [retrievalConfig, setRetrievalConfig] = useState(currentDataset?.retrieval_model_dict as RetrievalConfig)
   const [isShowModifyRetrievalModal, setIsShowModifyRetrievalModal] = useState(false)
   const [isShowRightPanel, { setTrue: showRightPanel, setFalse: hideRightPanel, set: setShowRightPanel }] = useBoolean(!isMobile)
-  const renderHitResults = (results: any[]) => (
+  const renderHitResults = (results: HitTesting[] | ExternalKnowledgeBaseHitTesting[]) => (
     <div className='h-full flex flex-col py-3 px-4 rounded-t-2xl bg-background-body'>
       <div className='shrink-0 pl-2 text-text-primary font-semibold leading-6 mb-2'>
         {t('datasetHitTesting.hit.title', { num: results.length })}
       </div>
       <div className='grow overflow-y-auto space-y-2'>
-        {results.map((record, idx) => (
-          <ResultItem
-            key={idx}
-            payload={record}
-            isExternal={isExternal}
-          />
-        ))}
+        {results.map((record, idx) =>
+          isExternal
+            ? (
+              <ResultItemExternal
+                key={idx}
+                positionId={idx + 1}
+                payload={record as ExternalKnowledgeBaseHitTesting}
+              />
+            )
+            : (
+              <ResultItem key={idx} payload={record as HitTesting} />
+            ),
+        )}
       </div>
     </div>
   )
@@ -130,7 +137,7 @@ const HitTesting: FC<Props> = ({ datasetId }: Props) => {
               <>
                 <div className='grow overflow-y-auto'>
                   <table className={'w-full border-collapse border-0 text-[13px] leading-4 text-text-secondary '}>
-                    <thead className="sticky top-0 h-7 leading-7  text-xs text-text-tertiary font-medium uppercase">
+                    <thead className='sticky top-0 h-7 leading-7  text-xs text-text-tertiary font-medium uppercase'>
                       <tr>
                         <td className='pl-3 w-[128px] rounded-l-lg bg-background-section-burn'>{t('datasetHitTesting.table.header.source')}</td>
                         <td className='bg-background-section-burn'>{t('datasetHitTesting.table.header.text')}</td>
@@ -208,4 +215,4 @@ const HitTesting: FC<Props> = ({ datasetId }: Props) => {
   )
 }
 
-export default HitTesting
+export default HitTestingPage
diff --git a/web/app/components/datasets/hit-testing/textarea.tsx b/web/app/components/datasets/hit-testing/textarea.tsx
index fcd72a2f1b..43366754fe 100644
--- a/web/app/components/datasets/hit-testing/textarea.tsx
+++ b/web/app/components/datasets/hit-testing/textarea.tsx
@@ -84,6 +84,7 @@ const TextAreaWithButton = ({
   }
 
   const externalRetrievalTestingOnSubmit = async () => {
+    setLoading(true)
     const [e, res] = await asyncRunSafe<ExternalKnowledgeBaseHitTestingResponse>(
       externalKnowledgeBaseHitTesting({
         datasetId,

From a7b93758778e07574f05e30493104c39cb87359d Mon Sep 17 00:00:00 2001
From: JasonVV <jasonwangiii@outlook.com>
Date: Tue, 21 Jan 2025 15:28:11 +0800
Subject: [PATCH 046/217] Update deepseek model configuration (#12899)

---
 .../model_providers/deepseek/llm/deepseek-chat.yaml        | 2 +-
 .../model_providers/deepseek/llm/deepseek-coder.yaml       | 2 +-
 .../model_providers/deepseek/llm/deepseek-reasoner.yaml    | 7 ++++++-
 3 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml
index 0bbd27ad74..a87f964a9e 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml
+++ b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml
@@ -10,7 +10,7 @@ features:
   - stream-tool-call
 model_properties:
   mode: chat
-  context_size: 128000
+  context_size: 64000
 parameter_rules:
   - name: temperature
     use_template: temperature
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml
index 97310e76b9..ca9ba8cbf1 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml
+++ b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml
@@ -10,7 +10,7 @@ features:
   - stream-tool-call
 model_properties:
   mode: chat
-  context_size: 128000
+  context_size: 64000
 parameter_rules:
   - name: temperature
     use_template: temperature
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
index 4a025d5ae9..a62bd7e7aa 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
+++ b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
@@ -7,10 +7,15 @@ features:
   - agent-thought
 model_properties:
   mode: chat
-  context_size: 128000
+  context_size: 64000
 parameter_rules:
   - name: max_tokens
     use_template: max_tokens
     min: 1
     max: 8192
     default: 4096
+pricing:
+  input: "4"
+  output: "16"
+  unit: "0.000001"
+  currency: RMB

From 46e95e83091dcbb5e33572befdddd06cefd8edaa Mon Sep 17 00:00:00 2001
From: k-zaku <zaku99@outlook.jp>
Date: Tue, 21 Jan 2025 16:29:13 +0900
Subject: [PATCH 047/217] fix: OpenAI o1 Bad Request Error (#12839)

---
 .../model_providers/openai/llm/llm.py         | 49 ++++++++++++++++++-
 1 file changed, 48 insertions(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py
index 86042de6f4..634dbc5535 100644
--- a/api/core/model_runtime/model_providers/openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai/llm/llm.py
@@ -1,5 +1,6 @@
 import json
 import logging
+import re
 from collections.abc import Generator
 from typing import Any, Optional, Union, cast
 
@@ -621,11 +622,19 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
         prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
 
         # o1 compatibility
+        block_as_stream = False
         if model.startswith("o1"):
             if "max_tokens" in model_parameters:
                 model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
                 del model_parameters["max_tokens"]
 
+            if re.match(r"^o1(-\d{4}-\d{2}-\d{2})?$", model):
+                if stream:
+                    block_as_stream = True
+                    stream = False
+                    if "stream_options" in extra_model_kwargs:
+                        del extra_model_kwargs["stream_options"]
+
             if "stop" in extra_model_kwargs:
                 del extra_model_kwargs["stop"]
 
@@ -642,7 +651,45 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
         if stream:
             return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)
 
-        return self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
+        block_result = self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
+
+        if block_as_stream:
+            return self._handle_chat_block_as_stream_response(block_result, prompt_messages, stop)
+
+        return block_result
+
+    def _handle_chat_block_as_stream_response(
+        self,
+        block_result: LLMResult,
+        prompt_messages: list[PromptMessage],
+        stop: Optional[list[str]] = None,
+    ) -> Generator[LLMResultChunk, None, None]:
+        """
+        Handle llm chat response
+        :param model: model name
+        :param credentials: credentials
+        :param response: response
+        :param prompt_messages: prompt messages
+        :param tools: tools for tool calling
+        :return: llm response chunk generator
+        """
+        text = block_result.message.content
+        text = cast(str, text)
+
+        if stop:
+            text = self.enforce_stop_tokens(text, stop)
+
+        yield LLMResultChunk(
+            model=block_result.model,
+            prompt_messages=prompt_messages,
+            system_fingerprint=block_result.system_fingerprint,
+            delta=LLMResultChunkDelta(
+                index=0,
+                message=block_result.message,
+                finish_reason="stop",
+                usage=block_result.usage,
+            ),
+        )
 
     def _handle_chat_generate_response(
         self,

From 6d0cb9dc333a1810cfd1ec7fd5aa027b1ca73852 Mon Sep 17 00:00:00 2001
From: zhu-an <70234959+xhdd123321@users.noreply.github.com>
Date: Tue, 21 Jan 2025 17:50:42 +0800
Subject: [PATCH 048/217] fix: variable panel scrollable (#12769)

Co-authored-by: zhaoqingyu.1075 <zhaoqingyu.1075@bytedance.com>
---
 web/app/components/app/log/var-panel.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/app/log/var-panel.tsx b/web/app/components/app/log/var-panel.tsx
index 3ae4bfb5c6..eef1a1a4c0 100644
--- a/web/app/components/app/log/var-panel.tsx
+++ b/web/app/components/app/log/var-panel.tsx
@@ -39,7 +39,7 @@ const VarPanel: FC<Props> = ({
         }
       </div>
       {!isCollapse && (
-        <div className='p-3 flex flex-col gap-2'>
+        <div className='p-3 flex flex-col gap-2 max-h-[500px] overflow-y-auto'>
           {varList.map(({ label, value }, index) => (
             <div key={index} className='flex py-2 system-xs-medium'>
               <div className='shrink-0 w-[128px] flex text-text-accent'>

From 6db3ae9b8ec2f8491e2c9355056a8693ecd67f47 Mon Sep 17 00:00:00 2001
From: Joel <iamjoel007@gmail.com>
Date: Tue, 21 Jan 2025 18:38:33 +0800
Subject: [PATCH 049/217] chore: remove webapp ga (#12909)

---
 web/app/(shareLayout)/layout.tsx | 2 --
 1 file changed, 2 deletions(-)

diff --git a/web/app/(shareLayout)/layout.tsx b/web/app/(shareLayout)/layout.tsx
index 259af2bc2d..94ac1deb0b 100644
--- a/web/app/(shareLayout)/layout.tsx
+++ b/web/app/(shareLayout)/layout.tsx
@@ -1,7 +1,6 @@
 import React from 'react'
 import type { FC } from 'react'
 import type { Metadata } from 'next'
-import GA, { GaType } from '@/app/components/base/ga'
 
 export const metadata: Metadata = {
   icons: 'data:,', // prevent browser from using default favicon
@@ -12,7 +11,6 @@ const Layout: FC<{
 }> = ({ children }) => {
   return (
     <div className="min-w-[300px] h-full pb-[env(safe-area-inset-bottom)]">
-      <GA gaType={GaType.webapp} />
       {children}
     </div>
   )

From 3d1ce4c53f0d38163d1073a5a178a16b7ab7ffbb Mon Sep 17 00:00:00 2001
From: luckylhb90 <luckylhb90@gmail.com>
Date: Tue, 21 Jan 2025 14:09:36 +0300
Subject: [PATCH 050/217] bug: fixed bedrock rerank bug (#12774)

Co-authored-by: hobo.l <hobo.l@binance.com>
---
 api/core/model_runtime/model_providers/bedrock/rerank/rerank.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py
index 9da23ba1b0..fc08852c1a 100644
--- a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py
+++ b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py
@@ -70,7 +70,7 @@ class BedrockRerankModel(RerankModel):
         rerankingConfiguration = {
             "type": "BEDROCK_RERANKING_MODEL",
             "bedrockRerankingConfiguration": {
-                "numberOfResults": top_n,
+                "numberOfResults": min(top_n, len(text_sources)),
                 "modelConfiguration": {
                     "modelArn": model_package_arn,
                 },

From 162a8c43932cdabd0de66dd42da4e42ecee6f16a Mon Sep 17 00:00:00 2001
From: Jyong <76649700+JohnJyong@users.noreply.github.com>
Date: Tue, 21 Jan 2025 19:19:32 +0800
Subject: [PATCH 051/217] fix update segment keyword with same content (#12908)

---
 api/services/dataset_service.py | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index 9459be64c5..c405933736 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -4,6 +4,7 @@ import logging
 import random
 import time
 import uuid
+from collections import Counter
 from typing import Any, Optional
 
 from flask_login import current_user  # type: ignore
@@ -1610,8 +1611,11 @@ class SegmentService:
                     segment.answer = args.answer
                     segment.word_count += len(args.answer) if args.answer else 0
                 word_count_change = segment.word_count - word_count_change
+                keyword_changed = False
                 if args.keywords:
-                    segment.keywords = args.keywords
+                    if Counter(segment.keywords) != Counter(args.keywords):
+                        segment.keywords = args.keywords
+                        keyword_changed = True
                 segment.enabled = True
                 segment.disabled_at = None
                 segment.disabled_by = None
@@ -1622,13 +1626,6 @@ class SegmentService:
                     document.word_count = max(0, document.word_count + word_count_change)
                     db.session.add(document)
                 # update segment index task
-                if args.enabled:
-                    VectorService.create_segments_vector(
-                        [args.keywords] if args.keywords else None,
-                        [segment],
-                        dataset,
-                        document.doc_form,
-                    )
                 if document.doc_form == IndexType.PARENT_CHILD_INDEX and args.regenerate_child_chunks:
                     # regenerate child chunks
                     # get embedding model instance
@@ -1661,6 +1658,14 @@ class SegmentService:
                     VectorService.generate_child_chunks(
                         segment, document, dataset, embedding_model_instance, processing_rule, True
                     )
+                elif document.doc_form in (IndexType.PARAGRAPH_INDEX, IndexType.QA_INDEX):
+                    if args.enabled or keyword_changed:
+                        VectorService.create_segments_vector(
+                            [args.keywords] if args.keywords else None,
+                            [segment],
+                            dataset,
+                            document.doc_form,
+                        )
             else:
                 segment_hash = helper.generate_text_hash(content)
                 tokens = 0

From 2f41bd495d0b6a8cd5999d047e74c7731f1e5aa6 Mon Sep 17 00:00:00 2001
From: jiangbo721 <365065261@qq.com>
Date: Wed, 22 Jan 2025 10:10:03 +0800
Subject: [PATCH 052/217] fix:Fix a bug that returns null when the passed path
 is a file. (#12775)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: 刘江波 <jiangbo721@163.com>
---
 .../builtin/gitlab/tools/gitlab_files.py      | 82 +++++++++----------
 .../builtin/gitlab/tools/gitlab_files.yaml    | 15 +++-
 2 files changed, 52 insertions(+), 45 deletions(-)

diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py
index ebcf13dc99..0ac9e2777d 100644
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py
+++ b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py
@@ -11,19 +11,21 @@ class GitlabFilesTool(BuiltinTool):
     def _invoke(
         self, user_id: str, tool_parameters: dict[str, Any]
     ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        project = tool_parameters.get("project", "")
         repository = tool_parameters.get("repository", "")
+        project = tool_parameters.get("project", "")
         branch = tool_parameters.get("branch", "")
         path = tool_parameters.get("path", "")
+        file_path = tool_parameters.get("file_path", "")
 
-        if not project and not repository:
-            return self.create_text_message("Either project or repository is required")
+        if not repository and not project:
+            return self.create_text_message("Either repository or project is required")
         if not branch:
             return self.create_text_message("Branch is required")
-        if not path:
-            return self.create_text_message("Path is required")
+        if not path and not file_path:
+            return self.create_text_message("Either path or file_path is required")
 
         access_token = self.runtime.credentials.get("access_tokens")
+        headers = {"PRIVATE-TOKEN": access_token}
         site_url = self.runtime.credentials.get("site_url")
 
         if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"):
@@ -31,33 +33,45 @@ class GitlabFilesTool(BuiltinTool):
         if "site_url" not in self.runtime.credentials or not self.runtime.credentials.get("site_url"):
             site_url = "https://gitlab.com"
 
-        # Get file content
         if repository:
-            result = self.fetch_files(site_url, access_token, repository, branch, path, is_repository=True)
+            # URL encode the repository path
+            identifier = urllib.parse.quote(repository, safe="")
         else:
-            result = self.fetch_files(site_url, access_token, project, branch, path, is_repository=False)
+            identifier = self.get_project_id(site_url, access_token, project)
+            if not identifier:
+                raise Exception(f"Project '{project}' not found.)")
 
-        return [self.create_json_message(item) for item in result]
+        # Get file content
+        if path:
+            results = self.fetch_files(site_url, headers, identifier, branch, path)
+            return [self.create_json_message(item) for item in results]
+        else:
+            result = self.fetch_file(site_url, headers, identifier, branch, file_path)
+            return [self.create_json_message(result)]
+
+    @staticmethod
+    def fetch_file(
+        site_url: str,
+        headers: dict[str, str],
+        identifier: str,
+        branch: str,
+        path: str,
+    ) -> dict[str, Any]:
+        encoded_file_path = urllib.parse.quote(path, safe="")
+        file_url = f"{site_url}/api/v4/projects/{identifier}/repository/files/{encoded_file_path}/raw?ref={branch}"
+
+        file_response = requests.get(file_url, headers=headers)
+        file_response.raise_for_status()
+        file_content = file_response.text
+        return {"path": path, "branch": branch, "content": file_content}
 
     def fetch_files(
-        self, site_url: str, access_token: str, identifier: str, branch: str, path: str, is_repository: bool
+        self, site_url: str, headers: dict[str, str], identifier: str, branch: str, path: str
     ) -> list[dict[str, Any]]:
-        domain = site_url
-        headers = {"PRIVATE-TOKEN": access_token}
         results = []
 
         try:
-            if is_repository:
-                # URL encode the repository path
-                encoded_identifier = urllib.parse.quote(identifier, safe="")
-                tree_url = f"{domain}/api/v4/projects/{encoded_identifier}/repository/tree?path={path}&ref={branch}"
-            else:
-                # Get project ID from project name
-                project_id = self.get_project_id(site_url, access_token, identifier)
-                if not project_id:
-                    return self.create_text_message(f"Project '{identifier}' not found.")
-                tree_url = f"{domain}/api/v4/projects/{project_id}/repository/tree?path={path}&ref={branch}"
-
+            tree_url = f"{site_url}/api/v4/projects/{identifier}/repository/tree?path={path}&ref={branch}"
             response = requests.get(tree_url, headers=headers)
             response.raise_for_status()
             items = response.json()
@@ -65,26 +79,10 @@ class GitlabFilesTool(BuiltinTool):
             for item in items:
                 item_path = item["path"]
                 if item["type"] == "tree":  # It's a directory
-                    results.extend(
-                        self.fetch_files(site_url, access_token, identifier, branch, item_path, is_repository)
-                    )
+                    results.extend(self.fetch_files(site_url, headers, identifier, branch, item_path))
                 else:  # It's a file
-                    encoded_item_path = urllib.parse.quote(item_path, safe="")
-                    if is_repository:
-                        file_url = (
-                            f"{domain}/api/v4/projects/{encoded_identifier}/repository/files"
-                            f"/{encoded_item_path}/raw?ref={branch}"
-                        )
-                    else:
-                        file_url = (
-                            f"{domain}/api/v4/projects/{project_id}/repository/files"
-                            f"{encoded_item_path}/raw?ref={branch}"
-                        )
-
-                    file_response = requests.get(file_url, headers=headers)
-                    file_response.raise_for_status()
-                    file_content = file_response.text
-                    results.append({"path": item_path, "branch": branch, "content": file_content})
+                    result = self.fetch_file(site_url, headers, identifier, branch, item_path)
+                    results.append(result)
         except requests.RequestException as e:
             print(f"Error fetching data from GitLab: {e}")
 
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml
index 4c733673f1..3371f62fa8 100644
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml
+++ b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml
@@ -29,7 +29,7 @@ parameters:
       zh_Hans: 项目
     human_description:
       en_US: project
-      zh_Hans: 项目
+      zh_Hans: 项目(和仓库路径二选一,都填写以仓库路径优先)
     llm_description: Project for GitLab
     form: llm
   - name: branch
@@ -45,12 +45,21 @@ parameters:
     form: llm
   - name: path
     type: string
-    required: true
     label:
       en_US: path
-      zh_Hans: 文件路径
+      zh_Hans: 文件夹
     human_description:
       en_US: path
+      zh_Hans: 文件夹
+    llm_description: Dir path for GitLab
+    form: llm
+  - name: file_path
+    type: string
+    label:
+      en_US: file_path
       zh_Hans: 文件路径
+    human_description:
+      en_US: file_path
+      zh_Hans: 文件路径(和文件夹二选一,都填写以文件夹优先)
     llm_description: File path for GitLab
     form: llm

From f582d4a13e90e9e41d574211ab9fad57945900f9 Mon Sep 17 00:00:00 2001
From: Shun Miyazawa <34241526+miya@users.noreply.github.com>
Date: Wed, 22 Jan 2025 11:11:31 +0900
Subject: [PATCH 053/217] feat: Add ability to change profile avatar (#12642)

---
 api/fields/member_fields.py                   |   4 +-
 api/libs/helper.py                            |  12 ++
 .../account/account-page/AvatarWithEdit.tsx   | 122 ++++++++++++++++++
 web/app/account/account-page/index.tsx        |   4 +-
 web/app/account/avatar.tsx                    |   4 +-
 .../debug-with-multiple-model/chat-item.tsx   |   2 +-
 .../debug/debug-with-single-model/index.tsx   |   2 +-
 .../base/app-icon-picker/ImageInput.tsx       |   6 +-
 web/app/components/base/avatar/index.tsx      |   4 +-
 .../settings/permission-selector/index.tsx    |   8 +-
 .../header/account-dropdown/index.tsx         |   4 +-
 .../account-setting/members-page/index.tsx    |   2 +-
 web/models/common.ts                          |   3 +-
 13 files changed, 158 insertions(+), 19 deletions(-)
 create mode 100644 web/app/account/account-page/AvatarWithEdit.tsx

diff --git a/api/fields/member_fields.py b/api/fields/member_fields.py
index 0c854c640c..0900bffb8a 100644
--- a/api/fields/member_fields.py
+++ b/api/fields/member_fields.py
@@ -1,6 +1,6 @@
 from flask_restful import fields  # type: ignore
 
-from libs.helper import TimestampField
+from libs.helper import AvatarUrlField, TimestampField
 
 simple_account_fields = {"id": fields.String, "name": fields.String, "email": fields.String}
 
@@ -8,6 +8,7 @@ account_fields = {
     "id": fields.String,
     "name": fields.String,
     "avatar": fields.String,
+    "avatar_url": AvatarUrlField,
     "email": fields.String,
     "is_password_set": fields.Boolean,
     "interface_language": fields.String,
@@ -22,6 +23,7 @@ account_with_role_fields = {
     "id": fields.String,
     "name": fields.String,
     "avatar": fields.String,
+    "avatar_url": AvatarUrlField,
     "email": fields.String,
     "last_login_at": TimestampField,
     "last_active_at": TimestampField,
diff --git a/api/libs/helper.py b/api/libs/helper.py
index eaa4efdb71..4f14f010f4 100644
--- a/api/libs/helper.py
+++ b/api/libs/helper.py
@@ -41,6 +41,18 @@ class AppIconUrlField(fields.Raw):
         return None
 
 
+class AvatarUrlField(fields.Raw):
+    def output(self, key, obj):
+        if obj is None:
+            return None
+
+        from models.account import Account
+
+        if isinstance(obj, Account) and obj.avatar is not None:
+            return file_helpers.get_signed_file_url(obj.avatar)
+        return None
+
+
 class TimestampField(fields.Raw):
     def format(self, value) -> int:
         return int(value.timestamp())
diff --git a/web/app/account/account-page/AvatarWithEdit.tsx b/web/app/account/account-page/AvatarWithEdit.tsx
new file mode 100644
index 0000000000..97f6ba8da6
--- /dev/null
+++ b/web/app/account/account-page/AvatarWithEdit.tsx
@@ -0,0 +1,122 @@
+'use client'
+
+import type { Area } from 'react-easy-crop'
+import React, { useCallback, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useContext } from 'use-context-selector'
+import { RiPencilLine } from '@remixicon/react'
+import { updateUserProfile } from '@/service/common'
+import { ToastContext } from '@/app/components/base/toast'
+import ImageInput, { type OnImageInput } from '@/app/components/base/app-icon-picker/ImageInput'
+import Modal from '@/app/components/base/modal'
+import Divider from '@/app/components/base/divider'
+import Button from '@/app/components/base/button'
+import Avatar, { type AvatarProps } from '@/app/components/base/avatar'
+import { useLocalFileUploader } from '@/app/components/base/image-uploader/hooks'
+import type { ImageFile } from '@/types/app'
+import getCroppedImg from '@/app/components/base/app-icon-picker/utils'
+import { DISABLE_UPLOAD_IMAGE_AS_ICON } from '@/config'
+
+type InputImageInfo = { file: File } | { tempUrl: string; croppedAreaPixels: Area; fileName: string }
+type AvatarWithEditProps = AvatarProps & { onSave?: () => void }
+
+const AvatarWithEdit = ({ onSave, ...props }: AvatarWithEditProps) => {
+  const { t } = useTranslation()
+  const { notify } = useContext(ToastContext)
+
+  const [inputImageInfo, setInputImageInfo] = useState<InputImageInfo>()
+  const [isShowAvatarPicker, setIsShowAvatarPicker] = useState(false)
+  const [uploading, setUploading] = useState(false)
+
+  const handleImageInput: OnImageInput = useCallback(async (isCropped: boolean, fileOrTempUrl: string | File, croppedAreaPixels?: Area, fileName?: string) => {
+    setInputImageInfo(
+      isCropped
+        ? { tempUrl: fileOrTempUrl as string, croppedAreaPixels: croppedAreaPixels!, fileName: fileName! }
+        : { file: fileOrTempUrl as File },
+    )
+  }, [setInputImageInfo])
+
+  const handleSaveAvatar = useCallback(async (uploadedFileId: string) => {
+    try {
+      await updateUserProfile({ url: 'account/avatar', body: { avatar: uploadedFileId } })
+      notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') })
+      setIsShowAvatarPicker(false)
+      onSave?.()
+    }
+    catch (e) {
+      notify({ type: 'error', message: (e as Error).message })
+    }
+  }, [notify, onSave, t])
+
+  const { handleLocalFileUpload } = useLocalFileUploader({
+    limit: 3,
+    disabled: false,
+    onUpload: (imageFile: ImageFile) => {
+      if (imageFile.progress === 100) {
+        setUploading(false)
+        setInputImageInfo(undefined)
+        handleSaveAvatar(imageFile.fileId)
+      }
+
+      // Error
+      if (imageFile.progress === -1)
+        setUploading(false)
+    },
+  })
+
+  const handleSelect = useCallback(async () => {
+    if (!inputImageInfo)
+      return
+    setUploading(true)
+    if ('file' in inputImageInfo) {
+      handleLocalFileUpload(inputImageInfo.file)
+      return
+    }
+    const blob = await getCroppedImg(inputImageInfo.tempUrl, inputImageInfo.croppedAreaPixels, inputImageInfo.fileName)
+    const file = new File([blob], inputImageInfo.fileName, { type: blob.type })
+    handleLocalFileUpload(file)
+  }, [handleLocalFileUpload, inputImageInfo])
+
+  if (DISABLE_UPLOAD_IMAGE_AS_ICON)
+    return <Avatar {...props} />
+
+  return (
+    <>
+      <div>
+        <div className="relative group">
+          <Avatar {...props} />
+          <div
+            onClick={() => { setIsShowAvatarPicker(true) }}
+            className="absolute inset-0 bg-black bg-opacity-50 rounded-full opacity-0 group-hover:opacity-100 transition-opacity cursor-pointer flex items-center justify-center"
+          >
+            <span className="text-white text-xs">
+              <RiPencilLine />
+            </span>
+          </div>
+        </div>
+      </div>
+
+      <Modal
+        closable
+        className="!w-[362px] !p-0"
+        isShow={isShowAvatarPicker}
+        onClose={() => setIsShowAvatarPicker(false)}
+      >
+        <ImageInput onImageInput={handleImageInput} cropShape='round' />
+        <Divider className='m-0' />
+
+        <div className='w-full flex items-center justify-center p-3 gap-2'>
+          <Button className='w-full' onClick={() => setIsShowAvatarPicker(false)}>
+            {t('app.iconPicker.cancel')}
+          </Button>
+
+          <Button variant="primary" className='w-full' disabled={uploading || !inputImageInfo} loading={uploading} onClick={handleSelect}>
+            {t('app.iconPicker.ok')}
+          </Button>
+        </div>
+      </Modal>
+    </>
+  )
+}
+
+export default AvatarWithEdit
diff --git a/web/app/account/account-page/index.tsx b/web/app/account/account-page/index.tsx
index 4435019561..16d826a7c2 100644
--- a/web/app/account/account-page/index.tsx
+++ b/web/app/account/account-page/index.tsx
@@ -5,6 +5,7 @@ import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
 import DeleteAccount from '../delete-account'
 import s from './index.module.css'
+import AvatarWithEdit from './AvatarWithEdit'
 import Collapse from '@/app/components/header/account-setting/collapse'
 import type { IItem } from '@/app/components/header/account-setting/collapse'
 import Modal from '@/app/components/base/modal'
@@ -13,7 +14,6 @@ import { updateUserProfile } from '@/service/common'
 import { useAppContext } from '@/context/app-context'
 import { ToastContext } from '@/app/components/base/toast'
 import AppIcon from '@/app/components/base/app-icon'
-import Avatar from '@/app/components/base/avatar'
 import { IS_CE_EDITION } from '@/config'
 import Input from '@/app/components/base/input'
 
@@ -133,7 +133,7 @@ export default function AccountPage() {
         <h4 className='title-2xl-semi-bold text-text-primary'>{t('common.account.myAccount')}</h4>
       </div>
       <div className='mb-8 p-6 rounded-xl flex items-center bg-gradient-to-r from-background-gradient-bg-fill-chat-bg-2 to-background-gradient-bg-fill-chat-bg-1'>
-        <Avatar name={userProfile.name} size={64} />
+        <AvatarWithEdit avatar={userProfile.avatar_url} name={userProfile.name} onSave={ mutateUserProfile } size={64} />
         <div className='ml-4'>
           <p className='system-xl-semibold text-text-primary'>{userProfile.name}</p>
           <p className='system-xs-regular text-text-tertiary'>{userProfile.email}</p>
diff --git a/web/app/account/avatar.tsx b/web/app/account/avatar.tsx
index 8fdecc07bf..47e8e75747 100644
--- a/web/app/account/avatar.tsx
+++ b/web/app/account/avatar.tsx
@@ -45,7 +45,7 @@ export default function AppSelector() {
                     ${open && 'bg-components-panel-bg-blur'}
                   `}
               >
-                <Avatar name={userProfile.name} size={32} />
+                <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={32} />
               </Menu.Button>
             </div>
             <Transition
@@ -71,7 +71,7 @@ export default function AppSelector() {
                         <div className='system-md-medium text-text-primary break-all'>{userProfile.name}</div>
                         <div className='system-xs-regular text-text-tertiary break-all'>{userProfile.email}</div>
                       </div>
-                      <Avatar name={userProfile.name} size={32} />
+                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={32} />
                     </div>
                   </div>
                 </Menu.Item>
diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
index 1144c323d1..119db34b16 100644
--- a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
@@ -149,7 +149,7 @@ const ChatItem: FC<ChatItemProps> = ({
       suggestedQuestions={suggestedQuestions}
       onSend={doSend}
       showPromptLog
-      questionIcon={<Avatar name={userProfile.name} size={40} />}
+      questionIcon={<Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={40} />}
       allToolIcons={allToolIcons}
       hideLogModal
       noSpacing
diff --git a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
index 2cbfe91f16..48e1e55de4 100644
--- a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
@@ -175,7 +175,7 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
       onRegenerate={doRegenerate}
       onStopResponding={handleStop}
       showPromptLog
-      questionIcon={<Avatar name={userProfile.name} size={40} />}
+      questionIcon={<Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={40} />}
       allToolIcons={allToolIcons}
       onAnnotationEdited={handleAnnotationEdited}
       onAnnotationAdded={handleAnnotationAdded}
diff --git a/web/app/components/base/app-icon-picker/ImageInput.tsx b/web/app/components/base/app-icon-picker/ImageInput.tsx
index f26f5a1fcb..0111b3c68d 100644
--- a/web/app/components/base/app-icon-picker/ImageInput.tsx
+++ b/web/app/components/base/app-icon-picker/ImageInput.tsx
@@ -2,8 +2,7 @@
 
 import type { ChangeEvent, FC } from 'react'
 import { createRef, useEffect, useState } from 'react'
-import type { Area } from 'react-easy-crop'
-import Cropper from 'react-easy-crop'
+import Cropper, { type Area, type CropperProps } from 'react-easy-crop'
 import classNames from 'classnames'
 
 import { ImagePlus } from '../icons/src/vender/line/images'
@@ -18,11 +17,13 @@ export type OnImageInput = {
 
 type UploaderProps = {
   className?: string
+  cropShape?: CropperProps['cropShape']
   onImageInput?: OnImageInput
 }
 
 const ImageInput: FC<UploaderProps> = ({
   className,
+  cropShape,
   onImageInput,
 }) => {
   const [inputImage, setInputImage] = useState<{ file: File; url: string }>()
@@ -78,6 +79,7 @@ const ImageInput: FC<UploaderProps> = ({
         crop={crop}
         zoom={zoom}
         aspect={1}
+        cropShape={cropShape}
         onCropChange={setCrop}
         onCropComplete={onCropComplete}
         onZoomChange={setZoom}
diff --git a/web/app/components/base/avatar/index.tsx b/web/app/components/base/avatar/index.tsx
index fd7fb58687..af406555bf 100644
--- a/web/app/components/base/avatar/index.tsx
+++ b/web/app/components/base/avatar/index.tsx
@@ -2,9 +2,9 @@
 import { useState } from 'react'
 import cn from '@/utils/classnames'
 
-type AvatarProps = {
+export type AvatarProps = {
   name: string
-  avatar?: string
+  avatar: string | null
   size?: number
   className?: string
   textClassName?: string
diff --git a/web/app/components/datasets/settings/permission-selector/index.tsx b/web/app/components/datasets/settings/permission-selector/index.tsx
index f70e41d46f..1668421772 100644
--- a/web/app/components/datasets/settings/permission-selector/index.tsx
+++ b/web/app/components/datasets/settings/permission-selector/index.tsx
@@ -74,7 +74,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
         >
           {permission === 'only_me' && (
             <div className={cn('flex items-center px-3 py-[6px] rounded-lg bg-gray-100 cursor-pointer hover:bg-gray-200', open && 'bg-gray-200', disabled && 'hover:!bg-gray-100 !cursor-default')}>
-              <Avatar name={userProfile.name} className='shrink-0 mr-2' size={24} />
+              <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0 mr-2' size={24} />
               <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsOnlyMe')}</div>
               {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />}
             </div>
@@ -106,7 +106,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
                 setOpen(false)
               }}>
                 <div className='flex items-center gap-2'>
-                  <Avatar name={userProfile.name} className='shrink-0 mr-2' size={24} />
+                  <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0 mr-2' size={24} />
                   <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsOnlyMe')}</div>
                   {permission === 'only_me' && <Check className='w-4 h-4 text-primary-600' />}
                 </div>
@@ -149,7 +149,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
                 </div>
                 {showMe && (
                   <div className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg'>
-                    <Avatar name={userProfile.name} className='shrink-0' size={24} />
+                    <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0' size={24} />
                     <div className='grow'>
                       <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'>
                         {userProfile.name}
@@ -162,7 +162,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
                 )}
                 {filteredMemberList.map(member => (
                   <div key={member.id} className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg hover:bg-gray-100 cursor-pointer' onClick={() => selectMember(member)}>
-                    <Avatar name={member.name} className='shrink-0' size={24} />
+                    <Avatar avatar={userProfile.avatar_url} name={member.name} className='shrink-0' size={24} />
                     <div className='grow'>
                       <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'>{member.name}</div>
                       <div className='text-xs text-gray-500 leading-[18px] truncate'>{member.email}</div>
diff --git a/web/app/components/header/account-dropdown/index.tsx b/web/app/components/header/account-dropdown/index.tsx
index e92b16fd67..d9065f3141 100644
--- a/web/app/components/header/account-dropdown/index.tsx
+++ b/web/app/components/header/account-dropdown/index.tsx
@@ -68,7 +68,7 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                     ${open && 'bg-gray-200'}
                   `}
               >
-                <Avatar name={userProfile.name} className='sm:mr-2 mr-0' size={32} />
+                <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='sm:mr-2 mr-0' size={32} />
                 {!isMobile && <>
                   {userProfile.name}
                   <RiArrowDownSLine className="w-3 h-3 ml-1 text-gray-700" />
@@ -92,7 +92,7 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                 >
                   <Menu.Item disabled>
                     <div className='flex flex-nowrap items-center px-4 py-[13px]'>
-                      <Avatar name={userProfile.name} size={36} className='mr-3' />
+                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={36} className='mr-3' />
                       <div className='grow'>
                         <div className='system-md-medium text-text-primary break-all'>{userProfile.name}</div>
                         <div className='system-xs-regular text-text-tertiary break-all'>{userProfile.email}</div>
diff --git a/web/app/components/header/account-setting/members-page/index.tsx b/web/app/components/header/account-setting/members-page/index.tsx
index 808da454d1..de3fef9b95 100644
--- a/web/app/components/header/account-setting/members-page/index.tsx
+++ b/web/app/components/header/account-setting/members-page/index.tsx
@@ -95,7 +95,7 @@ const MembersPage = () => {
               accounts.map(account => (
                 <div key={account.id} className='flex border-b border-divider-subtle'>
                   <div className='grow flex items-center py-2 px-3'>
-                    <Avatar size={24} className='mr-2' name={account.name} />
+                    <Avatar avatar={account.avatar_url} size={24} className='mr-2' name={account.name} />
                     <div className=''>
                       <div className='text-text-secondary system-sm-medium'>
                         {account.name}
diff --git a/web/models/common.ts b/web/models/common.ts
index dc2b1120b9..16acbc5337 100644
--- a/web/models/common.ts
+++ b/web/models/common.ts
@@ -22,6 +22,7 @@ export type UserProfileResponse = {
   name: string
   email: string
   avatar: string
+  avatar_url: string | null
   is_password_set: boolean
   interface_language?: string
   interface_theme?: string
@@ -62,7 +63,7 @@ export type TenantInfoResponse = {
   trial_end_reason: null | 'trial_exceeded' | 'using_custom'
 }
 
-export type Member = Pick<UserProfileResponse, 'id' | 'name' | 'email' | 'last_login_at' | 'last_active_at' | 'created_at'> & {
+export type Member = Pick<UserProfileResponse, 'id' | 'name' | 'email' | 'last_login_at' | 'last_active_at' | 'created_at' | 'avatar_url'> & {
   avatar: string
   status: 'pending' | 'active' | 'banned' | 'closed'
   role: 'owner' | 'admin' | 'editor' | 'normal' | 'dataset_operator'

From e23f4b026566f0ee1894bb6b6ee90ccb970eaa79 Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Wed, 22 Jan 2025 10:14:37 +0800
Subject: [PATCH 054/217] feat: add gemini-2.0-flash-thinking-exp-01-21
 (#12924)

---
 .../model_providers/google/llm/_position.yaml |  1 +
 .../gemini-2.0-flash-thinking-exp-01-21.yaml  | 39 +++++++++++++++++++
 2 files changed, 40 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml

diff --git a/api/core/model_runtime/model_providers/google/llm/_position.yaml b/api/core/model_runtime/model_providers/google/llm/_position.yaml
index 4ad0670e11..c65831c8f9 100644
--- a/api/core/model_runtime/model_providers/google/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/_position.yaml
@@ -1,5 +1,6 @@
 - gemini-2.0-flash-exp
 - gemini-2.0-flash-thinking-exp-1219
+- gemini-2.0-flash-thinking-exp-01-21
 - gemini-1.5-pro
 - gemini-1.5-pro-latest
 - gemini-1.5-pro-001
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
new file mode 100644
index 0000000000..7167626494
--- /dev/null
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
@@ -0,0 +1,39 @@
+model: gemini-2.0-flash-thinking-exp-01-21
+label:
+  en_US: Gemini 2.0 Flash Thinking Exp 01-21
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From e09f6e49879bbab8c01a90870629820757568d95 Mon Sep 17 00:00:00 2001
From: Joel <iamjoel007@gmail.com>
Date: Wed, 22 Jan 2025 10:43:40 +0800
Subject: [PATCH 055/217] feat: support config chunk length by env (#12925)

---
 docker/docker-compose-template.yaml                    | 3 ++-
 docker/docker-compose.yaml                             | 1 +
 web/.env.example                                       | 3 +++
 web/app/components/datasets/create/step-two/index.tsx  | 9 +++++----
 web/app/components/datasets/create/step-two/inputs.tsx | 6 ++++--
 web/app/layout.tsx                                     | 1 +
 web/docker/entrypoint.sh                               | 1 +
 7 files changed, 17 insertions(+), 7 deletions(-)

diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index e2daead92e..c2984fe868 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -1,4 +1,4 @@
-x-shared-env: &shared-api-worker-env
+x-shared-env: &shared-api-worker-env 
 services:
   # API service
   api:
@@ -57,6 +57,7 @@ services:
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
+      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-}
 
   # The postgres database.
   db:
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index f60fcdbcfc..21e72a4cd6 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -448,6 +448,7 @@ services:
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
+      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-}
 
   # The postgres database.
   db:
diff --git a/web/.env.example b/web/.env.example
index 2decef02fa..e2117ddfd8 100644
--- a/web/.env.example
+++ b/web/.env.example
@@ -28,3 +28,6 @@ NEXT_PUBLIC_CSP_WHITELIST=
 
 # The maximum number of top-k value for RAG.
 NEXT_PUBLIC_TOP_K_MAX_VALUE=10
+
+# The maximum number of tokens for segmentation
+NEXT_PUBLIC_INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx
index d6fa45b4fb..ec9b3a5b42 100644
--- a/web/app/components/datasets/create/step-two/index.tsx
+++ b/web/app/components/datasets/create/step-two/index.tsx
@@ -98,6 +98,7 @@ export enum IndexingType {
 const DEFAULT_SEGMENT_IDENTIFIER = '\\n\\n'
 const DEFAULT_MAXIMUM_CHUNK_LENGTH = 500
 const DEFAULT_OVERLAP = 50
+const MAXIMUM_CHUNK_TOKEN_LENGTH = parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10)
 
 type ParentChildConfig = {
   chunkForContext: ParentMode
@@ -163,7 +164,7 @@ const StepTwo = ({
     doSetSegmentIdentifier(value ? escape(value) : (canEmpty ? '' : DEFAULT_SEGMENT_IDENTIFIER))
   }, [])
   const [maxChunkLength, setMaxChunkLength] = useState(DEFAULT_MAXIMUM_CHUNK_LENGTH) // default chunk length
-  const [limitMaxChunkLength, setLimitMaxChunkLength] = useState(4000)
+  const [limitMaxChunkLength, setLimitMaxChunkLength] = useState(MAXIMUM_CHUNK_TOKEN_LENGTH)
   const [overlap, setOverlap] = useState(DEFAULT_OVERLAP)
   const [rules, setRules] = useState<PreProcessingRule[]>([])
   const [defaultConfig, setDefaultConfig] = useState<Rules>()
@@ -342,8 +343,8 @@ const StepTwo = ({
   }
 
   const updatePreview = () => {
-    if (segmentationType === ProcessMode.general && maxChunkLength > 4000) {
-      Toast.notify({ type: 'error', message: t('datasetCreation.stepTwo.maxLengthCheck') })
+    if (segmentationType === ProcessMode.general && maxChunkLength > MAXIMUM_CHUNK_TOKEN_LENGTH) {
+      Toast.notify({ type: 'error', message: t('datasetCreation.stepTwo.maxLengthCheck', { limit: MAXIMUM_CHUNK_TOKEN_LENGTH }) })
       return
     }
     fetchEstimate()
@@ -393,7 +394,7 @@ const StepTwo = ({
       score_threshold_enabled: false,
       score_threshold: 0.5,
     })
-  // eslint-disable-next-line react-hooks/exhaustive-deps
+    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [rerankDefaultModel, isRerankDefaultModelValid])
 
   const getCreationParams = () => {
diff --git a/web/app/components/datasets/create/step-two/inputs.tsx b/web/app/components/datasets/create/step-two/inputs.tsx
index 4231f6242d..acd4e3ae43 100644
--- a/web/app/components/datasets/create/step-two/inputs.tsx
+++ b/web/app/components/datasets/create/step-two/inputs.tsx
@@ -39,6 +39,8 @@ export const DelimiterInput: FC<InputProps & { tooltip?: string }> = (props) =>
 }
 
 export const MaxLengthInput: FC<InputNumberProps> = (props) => {
+  const maxValue = parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10)
+
   const { t } = useTranslation()
   return <FormField label={<div className='system-sm-semibold mb-1'>
     {t('datasetCreation.stepTwo.maxLength')}
@@ -46,8 +48,8 @@ export const MaxLengthInput: FC<InputNumberProps> = (props) => {
     <InputNumber
       type="number"
       className='h-9'
-      placeholder={'≤ 4000'}
-      max={4000}
+      placeholder={`≤ ${maxValue}`}
+      max={maxValue}
       min={1}
       {...props}
     />
diff --git a/web/app/layout.tsx b/web/app/layout.tsx
index b52c904561..da659e6467 100644
--- a/web/app/layout.tsx
+++ b/web/app/layout.tsx
@@ -45,6 +45,7 @@ const LocaleLayout = ({
         data-public-site-about={process.env.NEXT_PUBLIC_SITE_ABOUT}
         data-public-text-generation-timeout-ms={process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS}
         data-public-top-k-max-value={process.env.NEXT_PUBLIC_TOP_K_MAX_VALUE}
+        data-public-indexing-max-segmentation-tokens-length={process.env.NEXT_PUBLIC_INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH}
       >
         <BrowserInitor>
           <SentryInitor>
diff --git a/web/docker/entrypoint.sh b/web/docker/entrypoint.sh
index 8c6de0eb79..bad95b6cbe 100755
--- a/web/docker/entrypoint.sh
+++ b/web/docker/entrypoint.sh
@@ -24,5 +24,6 @@ export NEXT_TELEMETRY_DISABLED=${NEXT_TELEMETRY_DISABLED}
 export NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS=${TEXT_GENERATION_TIMEOUT_MS}
 export NEXT_PUBLIC_CSP_WHITELIST=${CSP_WHITELIST}
 export NEXT_PUBLIC_TOP_K_MAX_VALUE=${TOP_K_MAX_VALUE}
+export NEXT_PUBLIC_INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH}
 
 pm2 start ./pm2.json --no-daemon

From 05a0faff6ac3854f8d7f105040820c31466a7396 Mon Sep 17 00:00:00 2001
From: EricPan <30651140+Egfly@users.noreply.github.com>
Date: Wed, 22 Jan 2025 11:01:45 +0800
Subject: [PATCH 056/217] fix: app token's last_used_at can't be updated when
 last_used_at is null (#12770)

---
 api/controllers/service_api/wraps.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py
index fc4cce4876..c746944be1 100644
--- a/api/controllers/service_api/wraps.py
+++ b/api/controllers/service_api/wraps.py
@@ -195,7 +195,11 @@ def validate_and_get_api_token(scope: str | None = None):
     with Session(db.engine, expire_on_commit=False) as session:
         update_stmt = (
             update(ApiToken)
-            .where(ApiToken.token == auth_token, ApiToken.last_used_at < cutoff_time, ApiToken.type == scope)
+            .where(
+                ApiToken.token == auth_token,
+                (ApiToken.last_used_at.is_(None) | (ApiToken.last_used_at < cutoff_time)),
+                ApiToken.type == scope,
+            )
             .values(last_used_at=current_time)
             .returning(ApiToken)
         )

From 8429877b024d2fd718feb7127a1525aa49a9591a Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Wed, 22 Jan 2025 13:20:32 +0800
Subject: [PATCH 057/217] fix: Agent is configured for ReAct inference mode, an
 error is reported when viewing the agent log (#12920)

Co-authored-by: crazywoola <427733928@qq.com>
---
 api/core/agent/cot_agent_runner.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py
index e936acb605..bbe1865daf 100644
--- a/api/core/agent/cot_agent_runner.py
+++ b/api/core/agent/cot_agent_runner.py
@@ -172,7 +172,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
 
             self.save_agent_thought(
                 agent_thought=agent_thought,
-                tool_name=scratchpad.action.action_name if scratchpad.action else "",
+                tool_name=(scratchpad.action.action_name if scratchpad.action and not scratchpad.is_final() else ""),
                 tool_input={scratchpad.action.action_name: scratchpad.action.action_input} if scratchpad.action else {},
                 tool_invoke_meta={},
                 thought=scratchpad.thought or "",

From 3ee213ddca60753a2f7062e3fc9f967d395e841f Mon Sep 17 00:00:00 2001
From: Jyong <76649700+JohnJyong@users.noreply.github.com>
Date: Wed, 22 Jan 2025 13:36:39 +0800
Subject: [PATCH 058/217] add milvus full text search setting (#12930)

---
 api/controllers/console/datasets/datasets.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 814b4ad6ff..abb817b244 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -619,8 +619,7 @@ class DatasetRetrievalSettingApi(Resource):
         vector_type = dify_config.VECTOR_STORE
         match vector_type:
             case (
-                VectorType.MILVUS
-                | VectorType.RELYT
+                VectorType.RELYT
                 | VectorType.PGVECTOR
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
@@ -645,6 +644,7 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.TIDB_ON_QDRANT
                 | VectorType.LINDORM
                 | VectorType.COUCHBASE
+                | VectorType.MILVUS
             ):
                 return {
                     "retrieval_method": [

From c62b7cc6797e0db50f7c8ad22a8ca429beb3a30c Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Wed, 22 Jan 2025 13:38:24 +0800
Subject: [PATCH 059/217] chore(build): bump poetry from 1.x to 2.x (#12369)

---
 .github/actions/setup-poetry/action.yml |   2 +-
 .github/workflows/api-tests.yml         |  16 +-
 .github/workflows/style.yml             |   6 +-
 .github/workflows/vdb-tests.yml         |   2 +-
 api/Dockerfile                          |   2 +-
 api/README.md                           |   2 +-
 api/poetry.lock                         | 872 +++++++++++++++++++++++-
 api/pyproject.toml                      |   3 +-
 dev/reformat                            |   6 +-
 dev/sync-poetry                         |   2 +-
 docker/docker-compose-template.yaml     |   2 +-
 11 files changed, 889 insertions(+), 26 deletions(-)

diff --git a/.github/actions/setup-poetry/action.yml b/.github/actions/setup-poetry/action.yml
index 2e76676f37..a15eb25327 100644
--- a/.github/actions/setup-poetry/action.yml
+++ b/.github/actions/setup-poetry/action.yml
@@ -8,7 +8,7 @@ inputs:
   poetry-version:
     description: Poetry version to set up
     required: true
-    default: '1.8.4'
+    default: '2.0.1'
   poetry-lockfile:
     description: Path to the Poetry lockfile to restore cache from
     required: true
diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml
index fd98db24b9..98075c97cd 100644
--- a/.github/workflows/api-tests.yml
+++ b/.github/workflows/api-tests.yml
@@ -42,25 +42,23 @@ jobs:
         run: poetry install -C api --with dev
 
       - name: Check dependencies in pyproject.toml
-        run: poetry run -C api bash dev/pytest/pytest_artifacts.sh
+        run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
 
       - name: Run Unit tests
-        run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
+        run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
 
       - name: Run ModelRuntime
-        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
+        run: poetry run -P api bash dev/pytest/pytest_model_runtime.sh
 
       - name: Run dify config tests
-        run: poetry run -C api python dev/pytest/pytest_config_tests.py
+        run: poetry run -P api python dev/pytest/pytest_config_tests.py
 
       - name: Run Tool
-        run: poetry run -C api bash dev/pytest/pytest_tools.sh
+        run: poetry run -P api bash dev/pytest/pytest_tools.sh
 
       - name: Run mypy
         run: |
-          pushd api
-          poetry run python -m mypy --install-types --non-interactive .
-          popd
+          poetry run -C api python -m mypy --install-types --non-interactive .
 
       - name: Set up dotenvs
         run: |
@@ -80,4 +78,4 @@ jobs:
             ssrf_proxy
 
       - name: Run Workflow
-        run: poetry run -C api bash dev/pytest/pytest_workflow.sh
+        run: poetry run -P api bash dev/pytest/pytest_workflow.sh
diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
index 12213380bd..c80037195a 100644
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -38,12 +38,12 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         run: |
           poetry run -C api ruff --version
-          poetry run -C api ruff check ./api
-          poetry run -C api ruff format --check ./api
+          poetry run -C api ruff check ./
+          poetry run -C api ruff format --check ./
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
+        run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
 
       - name: Lint hints
         if: failure()
diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml
index 146bee95f2..fab0b8c426 100644
--- a/.github/workflows/vdb-tests.yml
+++ b/.github/workflows/vdb-tests.yml
@@ -70,4 +70,4 @@ jobs:
             tidb
 
       - name: Test Vector Stores
-        run: poetry run -C api bash dev/pytest/pytest_vdb.sh
+        run: poetry run -P api bash dev/pytest/pytest_vdb.sh
diff --git a/api/Dockerfile b/api/Dockerfile
index df676f1926..fd3532e32d 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
 WORKDIR /app/api
 
 # Install Poetry
-ENV POETRY_VERSION=1.8.4
+ENV POETRY_VERSION=2.0.1
 
 # if you located in China, you can use aliyun mirror to speed up
 # RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
diff --git a/api/README.md b/api/README.md
index 461dac4759..6e9f2e8fbb 100644
--- a/api/README.md
+++ b/api/README.md
@@ -79,5 +79,5 @@
 2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
 
    ```bash
-   poetry run -C api bash dev/pytest/pytest_all_tests.sh
+   poetry run -P api bash dev/pytest/pytest_all_tests.sh
    ```
diff --git a/api/poetry.lock b/api/poetry.lock
index 55dbee2d53..038979330f 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -6,6 +6,8 @@ version = "24.1.0"
 description = "File support for asyncio."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
     {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
@@ -17,6 +19,8 @@ version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
     {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -28,6 +32,8 @@ version = "3.11.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"},
     {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"},
@@ -125,6 +131,8 @@ version = "2.9.1"
 description = "Simple retry client for aiohttp"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohttp_retry-2.9.1-py3-none-any.whl", hash = "sha256:66d2759d1921838256a05a3f80ad7e724936f083e35be5abb5e16eed6be6dc54"},
     {file = "aiohttp_retry-2.9.1.tar.gz", hash = "sha256:8eb75e904ed4ee5c2ec242fefe85bf04240f685391c4879d8f541d6028ff01f1"},
@@ -139,6 +147,8 @@ version = "0.2.0"
 description = "MySQL driver for asyncio."
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiomysql-0.2.0-py3-none-any.whl", hash = "sha256:b7c26da0daf23a5ec5e0b133c03d20657276e4eae9b73e040b72787f6f6ade0a"},
     {file = "aiomysql-0.2.0.tar.gz", hash = "sha256:558b9c26d580d08b8c5fd1be23c5231ce3aeff2dadad989540fee740253deb67"},
@@ -157,6 +167,8 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -171,6 +183,8 @@ version = "1.14.0"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"},
     {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"},
@@ -190,6 +204,8 @@ version = "0.3.6"
 description = "The alibabacloud credentials module of alibabaCloud Python SDK."
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_credentials-0.3.6.tar.gz", hash = "sha256:caa82cf258648dcbe1ca14aeba50ba21845567d6ac3cd48d318e0a445fff7f96"},
 ]
@@ -203,6 +219,8 @@ version = "0.0.3"
 description = "The endpoint-util module of alibabaCloud Python SDK."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_endpoint_util-0.0.3.tar.gz", hash = "sha256:8c0efb76fdcc3af4ca716ef24bbce770201a3f83f98c0afcf81655f684b9c7d2"},
 ]
@@ -216,6 +234,8 @@ version = "0.0.2"
 description = "Alibaba Cloud Gateway SPI SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_gateway_spi-0.0.2.tar.gz", hash = "sha256:f932c8ba67291531dfbee6ca521dcf3523eb4ff93512bf0aaf135f2d4fc4704d"},
 ]
@@ -229,6 +249,8 @@ version = "3.8.3"
 description = "Alibaba Cloud AnalyticDB for PostgreSQL (20160503) SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_gpdb20160503-3.8.3-py3-none-any.whl", hash = "sha256:06e1c46ce5e4e9d1bcae76e76e51034196c625799d06b2efec8d46a7df323fe8"},
     {file = "alibabacloud_gpdb20160503-3.8.3.tar.gz", hash = "sha256:4dfcc0d9cff5a921d529d76f4bf97e2ceb9dc2fa53f00ab055f08509423d8e30"},
@@ -250,6 +272,8 @@ version = "0.2.2"
 description = "Aliyun Tea OpenApi Library for Python"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_openapi_util-0.2.2.tar.gz", hash = "sha256:ebbc3906f554cb4bf8f513e43e8a33e8b6a3d4a0ef13617a0e14c3dda8ef52a8"},
 ]
@@ -264,6 +288,8 @@ version = "2.0.0"
 description = "Alibaba Cloud OpenPlatform (20191219) SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_openplatform20191219-2.0.0-py3-none-any.whl", hash = "sha256:873821c45bca72a6c6ec7a906c9cb21554c122e88893bbac3986934dab30dd36"},
     {file = "alibabacloud_openplatform20191219-2.0.0.tar.gz", hash = "sha256:e67f4c337b7542538746592c6a474bd4ae3a9edccdf62e11a32ca61fad3c9020"},
@@ -281,6 +307,8 @@ version = "0.1.0"
 description = "Aliyun Tea OSS SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_oss_sdk-0.1.0.tar.gz", hash = "sha256:cc5ce36044bae758047fccb56c0cb6204cbc362d18cc3dd4ceac54c8c0897b8b"},
 ]
@@ -298,6 +326,8 @@ version = "0.0.6"
 description = "The oss util module of alibabaCloud Python SDK."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_oss_util-0.0.6.tar.gz", hash = "sha256:d3ecec36632434bd509a113e8cf327dc23e830ac8d9dd6949926f4e334c8b5d6"},
 ]
@@ -311,6 +341,8 @@ version = "0.4.0"
 description = "The tea module of alibabaCloud Python SDK."
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud-tea-0.4.0.tar.gz", hash = "sha256:bdf72d747723bab190331b3c8593109fe2807504469bc0147f78c8c4945ed396"},
     {file = "alibabacloud_tea-0.4.0-py3-none-any.whl", hash = "sha256:59fae5765e6654f884e130233df6fb61ca0fbe01a29ed0755a1cf099a3d4d863"},
@@ -326,6 +358,8 @@ version = "0.0.5"
 description = "The tea-fileform module of alibabaCloud Python SDK."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_tea_fileform-0.0.5.tar.gz", hash = "sha256:fd00a8c9d85e785a7655059e9651f9e91784678881831f60589172387b968ee8"},
 ]
@@ -339,6 +373,8 @@ version = "0.3.12"
 description = "Alibaba Cloud openapi SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_tea_openapi-0.3.12.tar.gz", hash = "sha256:2e14809f357438e62c1ef4976a7655110dd54a75bbfa7d905fa3798355cfd974"},
 ]
@@ -356,6 +392,8 @@ version = "0.3.13"
 description = "The tea-util module of alibabaCloud Python SDK."
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_tea_util-0.3.13.tar.gz", hash = "sha256:8cbdfd2a03fbbf622f901439fa08643898290dd40e1d928347f6346e43f63c90"},
 ]
@@ -369,6 +407,8 @@ version = "0.0.2"
 description = "The tea-xml module of alibabaCloud Python SDK."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "alibabacloud_tea_xml-0.0.2.tar.gz", hash = "sha256:f0135e8148fd7d9c1f029db161863f37f144f837c280cba16c2edeb2f9c549d8"},
 ]
@@ -382,6 +422,8 @@ version = "2.16.0"
 description = "The core module of Aliyun Python SDK."
 optional = false
 python-versions = ">=3.7"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aliyun-python-sdk-core-2.16.0.tar.gz", hash = "sha256:651caad597eb39d4fad6cf85133dffe92837d53bdf62db9d8f37dab6508bb8f9"},
 ]
@@ -396,6 +438,8 @@ version = "2.16.5"
 description = "The kms module of Aliyun Python sdk."
 optional = false
 python-versions = "*"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aliyun-python-sdk-kms-2.16.5.tar.gz", hash = "sha256:f328a8a19d83ecbb965ffce0ec1e9930755216d104638cd95ecd362753b813b3"},
     {file = "aliyun_python_sdk_kms-2.16.5-py2.py3-none-any.whl", hash = "sha256:24b6cdc4fd161d2942619479c8d050c63ea9cd22b044fe33b60bbb60153786f0"},
@@ -410,6 +454,8 @@ version = "5.3.1"
 description = "Low-level AMQP client for Python (fork of amqplib)."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "amqp-5.3.1-py3-none-any.whl", hash = "sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2"},
     {file = "amqp-5.3.1.tar.gz", hash = "sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432"},
@@ -424,6 +470,8 @@ version = "9.0.1"
 description = "A library for parsing ISO 8601 strings."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aniso8601-9.0.1-py2.py3-none-any.whl", hash = "sha256:1d2b7ef82963909e93c4f24ce48d4de9e66009a21bf1c1e1c85bdd0812fe412f"},
     {file = "aniso8601-9.0.1.tar.gz", hash = "sha256:72e3117667eedf66951bb2d93f4296a56b94b078a8a95905a052611fb3f1b973"},
@@ -438,6 +486,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -449,6 +499,8 @@ version = "0.23.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anthropic-0.23.1-py3-none-any.whl", hash = "sha256:6dc5779dae83a5834864f4a4af0166c972b70f4cb8fd2765e1558282cc6d6242"},
     {file = "anthropic-0.23.1.tar.gz", hash = "sha256:9325103702cbc96bb09d1b58c36bde75c726f6a01029fb4d85f41ebba07e9066"},
@@ -473,6 +525,8 @@ version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
     {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
@@ -494,6 +548,8 @@ version = "2.1.0"
 description = "Python wrapper for the arXiv API: https://arxiv.org/help/api/"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "arxiv-2.1.0-py3-none-any.whl", hash = "sha256:d634a0a59c9f05baf524eaa65563bb0a4532d2b4727a1162a1a9ba7e1e6e48cc"},
     {file = "arxiv-2.1.0.tar.gz", hash = "sha256:eb4b1d5ab9dfd66027c344bb324c20be21d56fe15f6ce216ed5b209df747dea8"},
@@ -509,6 +565,8 @@ version = "3.8.1"
 description = "ASGI specs, helper code, and adapters"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
     {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
@@ -523,6 +581,8 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" and python_full_version < \"3.11.3\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -534,6 +594,8 @@ version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "lint", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
     {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
@@ -553,6 +615,8 @@ version = "1.3.1"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377"},
     {file = "authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917"},
@@ -567,6 +631,8 @@ version = "1.0.0b6"
 description = "Microsoft Azure AI Inference Client Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure_ai_inference-1.0.0b6-py3-none-any.whl", hash = "sha256:5699ad78d70ec2d227a5eff2c1bafc845018f6624edc5b03589dfff861c54958"},
     {file = "azure_ai_inference-1.0.0b6.tar.gz", hash = "sha256:b8ac941de1e69151bad464191e18856d4e74f962ae03235da137a9a326143676"},
@@ -587,6 +653,8 @@ version = "1.20.0"
 description = "Microsoft Azure Machine Learning Client Library for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-ai-ml-1.20.0.tar.gz", hash = "sha256:6432a0da1b7250cb0db5a1c33202e0419935e19ea32d4c2b3220705f8f1d4101"},
     {file = "azure_ai_ml-1.20.0-py3-none-any.whl", hash = "sha256:c7eb3c5ccf82a6ee94403c3e5060763decd38cf03ff2620a4a6577526e605104"},
@@ -623,6 +691,8 @@ version = "1.1.28"
 description = "Microsoft Azure Client Library for Python (Common)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"},
     {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"},
@@ -634,6 +704,8 @@ version = "1.32.0"
 description = "Microsoft Azure Core Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure_core-1.32.0-py3-none-any.whl", hash = "sha256:eac191a0efb23bfa83fddf321b27b122b4ec847befa3091fa736a5c32c50d7b4"},
     {file = "azure_core-1.32.0.tar.gz", hash = "sha256:22b3c35d6b2dae14990f6c1be2912bf23ffe50b220e708a28ab1bb92b1c730e5"},
@@ -653,6 +725,8 @@ version = "1.16.1"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-identity-1.16.1.tar.gz", hash = "sha256:6d93f04468f240d59246d8afde3091494a5040d4f141cad0f49fc0c399d0d91e"},
     {file = "azure_identity-1.16.1-py3-none-any.whl", hash = "sha256:8fb07c25642cd4ac422559a8b50d3e77f73dcc2bbfaba419d06d6c9d7cff6726"},
@@ -670,6 +744,8 @@ version = "1.5.0"
 description = "Microsoft Azure Management Core Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure_mgmt_core-1.5.0-py3-none-any.whl", hash = "sha256:18aaa5a723ee8ae05bf1bfc9f6d0ffb996631c7ea3c922cc86f522973ce07b5f"},
     {file = "azure_mgmt_core-1.5.0.tar.gz", hash = "sha256:380ae3dfa3639f4a5c246a7db7ed2d08374e88230fd0da3eb899f7c11e5c441a"},
@@ -684,6 +760,8 @@ version = "12.13.0"
 description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-storage-blob-12.13.0.zip", hash = "sha256:53f0d4cd32970ac9ff9b9753f83dd2fb3f9ac30e1d01e71638c436c509bfd884"},
     {file = "azure_storage_blob-12.13.0-py3-none-any.whl", hash = "sha256:280a6ab032845bab9627582bee78a50497ca2f14772929b5c5ee8b4605af0cb3"},
@@ -700,6 +778,8 @@ version = "12.8.0"
 description = "Microsoft Azure File DataLake Storage Client Library for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-storage-file-datalake-12.8.0.zip", hash = "sha256:12e6306e5efb5ca28e0ccd9fa79a2c61acd589866d6109fe5601b18509da92f4"},
     {file = "azure_storage_file_datalake-12.8.0-py3-none-any.whl", hash = "sha256:b6cf5733fe794bf3c866efbe3ce1941409e35b6b125028ac558b436bf90f2de7"},
@@ -716,6 +796,8 @@ version = "12.20.0"
 description = "Microsoft Azure Azure File Share Storage Client Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure_storage_file_share-12.20.0-py3-none-any.whl", hash = "sha256:fd5c4f09d7784d68b8ed3de473b7525904f1c4b115f9cd200c838b0ee720cb5f"},
     {file = "azure_storage_file_share-12.20.0.tar.gz", hash = "sha256:f120fc67bae0a84c1b54d06faa70df351be14d1395b9a085350e833f7d347a65"},
@@ -736,6 +818,8 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -747,6 +831,8 @@ version = "0.9.25"
 description = "BCE SDK for python"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "bce_python_sdk-0.9.25-py3-none-any.whl", hash = "sha256:cd1ab4c887e163adba6bfb3cd40465a365e5f4255705a015b0cdbe768e649877"},
     {file = "bce_python_sdk-0.9.25.tar.gz", hash = "sha256:93a0623fbb1bf3a58b4f2d7bdbd799a3b342a538f0c72950c77168e431470e86"},
@@ -763,6 +849,8 @@ version = "4.2.1"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "bcrypt-4.2.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:1340411a0894b7d3ef562fb233e4b6ed58add185228650942bdc885362f32c17"},
     {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ee315739bc8387aa36ff127afc99120ee452924e0df517a8f3e4c0187a0f5f"},
@@ -801,6 +889,8 @@ version = "4.12.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
     {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
@@ -819,6 +909,8 @@ version = "4.2.1"
 description = "Python multiprocessing fork with improvements and bugfixes"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "billiard-4.2.1-py3-none-any.whl", hash = "sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb"},
     {file = "billiard-4.2.1.tar.gz", hash = "sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f"},
@@ -830,6 +922,8 @@ version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
     {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
@@ -841,6 +935,8 @@ version = "1.35.74"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "boto3-1.35.74-py3-none-any.whl", hash = "sha256:dab5bddbbe57dc707b6f6a1f25dc2823b8e234b6fe99fafef7fc406ab73031b9"},
     {file = "boto3-1.35.74.tar.gz", hash = "sha256:88370c6845ba71a4dae7f6b357099df29b3965da584be040c8e72c9902bc9492"},
@@ -860,6 +956,8 @@ version = "1.35.94"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "botocore-1.35.94-py3-none-any.whl", hash = "sha256:d784d944865d8279c79d2301fc09ac28b5221d4e7328fb4e23c642c253b9932c"},
     {file = "botocore-1.35.94.tar.gz", hash = "sha256:2b3309b356541faa4d88bb957dcac1d8004aa44953c0b7d4521a6cc5d3d5d6ba"},
@@ -879,6 +977,8 @@ version = "1.4.2"
 description = "Fast NumPy array functions written in C"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Bottleneck-1.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:125436df93751a226eab1732783aa8f6125e88e779587aa61be071fb66e41f9d"},
     {file = "Bottleneck-1.4.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c6df9a60ec6ab88fec934ca864266ba95edd89c490af71dc9cd8afb2a54ebd9"},
@@ -930,6 +1030,8 @@ version = "1.1.0"
 description = "Python bindings for the Brotli compression library"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\""
 files = [
     {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752"},
     {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9"},
@@ -1064,6 +1166,8 @@ version = "1.1.0.0"
 description = "Python CFFI bindings to the Brotli library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation == \"PyPy\""
 files = [
     {file = "brotlicffi-1.1.0.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9b7ae6bd1a3f0df532b6d67ff674099a96d22bc0948955cb338488c31bfb8851"},
     {file = "brotlicffi-1.1.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:19ffc919fa4fc6ace69286e0a23b3789b4219058313cf9b45625016bf7ff996b"},
@@ -1103,6 +1207,8 @@ version = "0.0.2"
 description = "Dummy package for Beautiful Soup (beautifulsoup4)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc"},
     {file = "bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925"},
@@ -1117,6 +1223,8 @@ version = "1.2.2.post1"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
     {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
@@ -1140,6 +1248,8 @@ version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
     {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
@@ -1151,6 +1261,8 @@ version = "5.4.0"
 description = "Distributed Task Queue."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "celery-5.4.0-py3-none-any.whl", hash = "sha256:369631eb580cf8c51a82721ec538684994f8277637edde2dfc0dacd73ed97f64"},
     {file = "celery-5.4.0.tar.gz", hash = "sha256:504a19140e8d3029d5acad88330c541d4c3f64c789d85f94756762d8bca7e706"},
@@ -1207,6 +1319,8 @@ version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
     {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
@@ -1218,6 +1332,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "tools", "vdb"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -1287,6 +1402,7 @@ files = [
     {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
     {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
+markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", storage = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation == \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -1297,6 +1413,8 @@ version = "5.1.0"
 description = "Universal encoding detector for Python 3"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chardet-5.1.0-py3-none-any.whl", hash = "sha256:362777fb014af596ad31334fde1e8c327dfdb076e1960d1694662d46a6917ab9"},
     {file = "chardet-5.1.0.tar.gz", hash = "sha256:0d62712b956bc154f85fb0a266e2a3c5913c2967e00348701b32411d6def31e5"},
@@ -1308,6 +1426,8 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -1409,6 +1529,8 @@ version = "0.7.6"
 description = "Chromas fork of hnswlib"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f35192fbbeadc8c0633f0a69c3d3e9f1a4eab3a46b65458bbcbcabdd9e895c36"},
     {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f007b608c96362b8f0c8b6b2ac94f67f83fcbabd857c378ae82007ec92f4d82"},
@@ -1450,6 +1572,8 @@ version = "0.5.20"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chromadb-0.5.20-py3-none-any.whl", hash = "sha256:9550ba1b6dce911e35cac2568b301badf4b42f457b99a432bdeec2b6b9dd3680"},
     {file = "chromadb-0.5.20.tar.gz", hash = "sha256:19513a23b2d20059866216bfd80195d1d4a160ffba234b8899f5e80978160ca7"},
@@ -1491,6 +1615,8 @@ version = "2.0.0"
 description = "Python Circuit Breaker pattern implementation"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "circuitbreaker-2.0.0-py2.py3-none-any.whl", hash = "sha256:c8c6f044b616cd5066368734ce4488020392c962b4bd2869d406d883c36d9859"},
     {file = "circuitbreaker-2.0.0.tar.gz", hash = "sha256:28110761ca81a2accbd6b33186bc8c433e69b0933d85e89f280028dbb8c1dd14"},
@@ -1502,6 +1628,8 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "lint", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -1516,6 +1644,8 @@ version = "1.2.4"
 description = "click_default_group"
 optional = false
 python-versions = ">=2.7"
+groups = ["lint"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click_default_group-1.2.4-py2.py3-none-any.whl", hash = "sha256:9b60486923720e7fc61731bdb32b617039aba820e22e1c88766b1125592eaa5f"},
     {file = "click_default_group-1.2.4.tar.gz", hash = "sha256:eb3f3c99ec0d456ca6cd2a7f08f7d4e91771bef51b01bdd9580cc6450fe1251e"},
@@ -1533,6 +1663,8 @@ version = "0.3.1"
 description = "Enables git-like *did-you-mean* feature in click"
 optional = false
 python-versions = ">=3.6.2"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click_didyoumean-0.3.1-py3-none-any.whl", hash = "sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c"},
     {file = "click_didyoumean-0.3.1.tar.gz", hash = "sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463"},
@@ -1547,6 +1679,8 @@ version = "1.1.1"
 description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-plugins-1.1.1.tar.gz", hash = "sha256:46ab999744a9d831159c3411bb0c79346d94a444df9a3a3742e9ed63645f264b"},
     {file = "click_plugins-1.1.1-py2.py3-none-any.whl", hash = "sha256:5d262006d3222f5057fd81e1623d4443e41dcda5dc815c06b442aa3c02889fc8"},
@@ -1564,6 +1698,8 @@ version = "0.3.0"
 description = "REPL plugin for Click"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-repl-0.3.0.tar.gz", hash = "sha256:17849c23dba3d667247dc4defe1757fff98694e90fe37474f3feebb69ced26a9"},
     {file = "click_repl-0.3.0-py3-none-any.whl", hash = "sha256:fb7e06deb8da8de86180a33a9da97ac316751c094c6899382da7feeeeb51b812"},
@@ -1582,6 +1718,8 @@ version = "0.7.19"
 description = "ClickHouse Database Core Driver for Python, Pandas, and Superset"
 optional = false
 python-versions = "~=3.8"
+groups = ["tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "clickhouse-connect-0.7.19.tar.gz", hash = "sha256:ce8f21f035781c5ef6ff57dc162e8150779c009b59f14030ba61f8c9c10c06d0"},
     {file = "clickhouse_connect-0.7.19-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6ac74eb9e8d6331bae0303d0fc6bdc2125aa4c421ef646348b588760b38c29e9"},
@@ -1672,6 +1810,8 @@ version = "2.2.1"
 description = "Extended pickling support for Python objects"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"},
     {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"},
@@ -1683,6 +1823,8 @@ version = "1.2.71"
 description = "A Python module to bypass Cloudflare's anti-bot page."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cloudscraper-1.2.71-py2.py3-none-any.whl", hash = "sha256:76f50ca529ed2279e220837befdec892626f9511708e200d48d5bb76ded679b0"},
     {file = "cloudscraper-1.2.71.tar.gz", hash = "sha256:429c6e8aa6916d5bad5c8a5eac50f3ea53c9ac22616f6cb21b18dcc71517d0d3"},
@@ -1699,6 +1841,8 @@ version = "5.2.6"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cohere-5.2.6-py3-none-any.whl", hash = "sha256:256b4ed00f47eb315401d7f28834655714f098382908e7d0ad5c98225aa6a57d"},
     {file = "cohere-5.2.6.tar.gz", hash = "sha256:15d13682706fbafc8cf700e195f628389a643eb7ebd6d7c5e9d6e1ebd3f942fb"},
@@ -1719,10 +1863,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev", "lint", "tools", "vdb"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", dev = "(python_version == \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\"", lint = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\"", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\"", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Windows\" or os_name == \"nt\" or sys_platform == \"win32\")"}
 
 [[package]]
 name = "coloredlogs"
@@ -1730,6 +1876,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -1747,6 +1895,8 @@ version = "1.3.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.10"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "contourpy-1.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a045f341a77b77e1c5de31e74e966537bba9f3c4099b35bf4c2e3939dd54cdab"},
     {file = "contourpy-1.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:500360b77259914f7805af7462e41f9cb7ca92ad38e9f94d6c8641b089338124"},
@@ -1820,6 +1970,8 @@ version = "1.9.30"
 description = "cos-python-sdk-v5"
 optional = false
 python-versions = "*"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cos-python-sdk-v5-1.9.30.tar.gz", hash = "sha256:a23fd090211bf90883066d90cd74317860aa67c6d3aa80fe5e44b18c7e9b2a81"},
 ]
@@ -1837,6 +1989,8 @@ version = "4.3.4"
 description = "Python Client for Couchbase"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "couchbase-4.3.4-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:395e7b05495132a071dce5cdd84a3ec6e803205875f8ee22e85a89a16bb1b5f4"},
     {file = "couchbase-4.3.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:263a18307d1f1a141b93ae370b19843b1160dd702559152aea19dd08768f59f5"},
@@ -1877,6 +2031,8 @@ version = "7.2.7"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coverage-7.2.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d39b5b4f2a66ccae8b7263ac3c8170994b65266797fb96cbbfd3fb5b23921db8"},
     {file = "coverage-7.2.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d040ef7c9859bb11dfeb056ff5b3872436e3b5e401817d87a31e1750b9ae2fb"},
@@ -1949,6 +2105,8 @@ version = "1.7"
 description = "CRC Generator"
 optional = false
 python-versions = "*"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "crcmod-1.7.tar.gz", hash = "sha256:dc7051a0db5f2bd48665a990d3ec1cc305a466a77358ca4492826f41f283601e"},
 ]
@@ -1959,6 +2117,8 @@ version = "44.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.7"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cryptography-44.0.0-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:84111ad4ff3f6253820e6d3e58be2cc2a00adb29335d4cacb5ab4d4d34f2a123"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15492a11f9e1b62ba9d73c210e2416724633167de94607ec6069ef724fad092"},
@@ -2010,6 +2170,8 @@ version = "1.2.0"
 description = "cssselect parses CSS3 Selectors and translates them to XPath 1.0"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cssselect-1.2.0-py2.py3-none-any.whl", hash = "sha256:da1885f0c10b60c03ed5eccbb6b68d6eff248d91976fcde348f395d54c9fd35e"},
     {file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"},
@@ -2021,6 +2183,8 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -2036,6 +2200,8 @@ version = "1.17.1"
 description = "dashscope client sdk library"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "dashscope-1.17.1-py3-none-any.whl", hash = "sha256:1e07e7ff4544684797f86ede646766b5ab8f5bd6eb43d2d01f0f757a2941efe1"},
 ]
@@ -2054,6 +2220,8 @@ version = "0.34.0"
 description = "Lightning-fast JSON wizardry for Python dataclasses — effortless serialization right out of the box!"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "dataclass-wizard-0.34.0.tar.gz", hash = "sha256:f917db2220e395806a852f7c57e9011dd783b7fe3eee763bb56ae2d48968ab03"},
     {file = "dataclass_wizard-0.34.0-py2.py3-none-any.whl", hash = "sha256:9c184edd3526c3523fec2de5b6d6cdfcdc97ed7b2c5ba8bc574284b793704f01"},
@@ -2075,6 +2243,8 @@ version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
     {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
@@ -2090,6 +2260,8 @@ version = "1.3.1"
 description = "Pandas Data Types for SQL systems (BigQuery, Spanner)"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "db_dtypes-1.3.1-py2.py3-none-any.whl", hash = "sha256:fbc9d1740d94aaf2b5ae24601cfc875a69b4635bb9d049e3c3036e9f10203af8"},
     {file = "db_dtypes-1.3.1.tar.gz", hash = "sha256:a058f05dab100891f3e76a7a3db9ad0f107f18dd3d1bdd13680749a2f07eae77"},
@@ -2107,6 +2279,8 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.5"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -2118,6 +2292,8 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -2129,6 +2305,8 @@ version = "1.2.15"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320"},
     {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"},
@@ -2146,6 +2324,8 @@ version = "2.1.0"
 description = "A library to handle automated deprecations"
 optional = false
 python-versions = "*"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"},
     {file = "deprecation-2.1.0.tar.gz", hash = "sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff"},
@@ -2160,6 +2340,8 @@ version = "0.3.9"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "dill-0.3.9-py3-none-any.whl", hash = "sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a"},
     {file = "dill-0.3.9.tar.gz", hash = "sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c"},
@@ -2175,6 +2357,8 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -2186,6 +2370,8 @@ version = "7.1.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"},
     {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"},
@@ -2208,6 +2394,8 @@ version = "0.16"
 description = "Parse Python docstrings in reST, Google and Numpydoc format"
 optional = false
 python-versions = ">=3.6,<4.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "docstring_parser-0.16-py3-none-any.whl", hash = "sha256:bf0a1387354d3691d102edef7ec124f219ef639982d096e26e3b60aeffa90637"},
     {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"},
@@ -2219,6 +2407,8 @@ version = "0.5.0"
 description = "Linting dotenv files like a charm!"
 optional = false
 python-versions = ">=3.9,<4.0"
+groups = ["lint"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "dotenv_linter-0.5.0-py3-none-any.whl", hash = "sha256:fd01cca7f2140cb1710f49cbc1bf0e62397a75a6f0522d26a8b9b2331143c8bd"},
     {file = "dotenv_linter-0.5.0.tar.gz", hash = "sha256:4862a8393e5ecdfb32982f1b32dbc006fff969a7b3c8608ba7db536108beeaea"},
@@ -2237,6 +2427,8 @@ version = "1.1.3"
 description = "DuckDB in-process database"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "duckdb-1.1.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:1c0226dc43e2ee4cc3a5a4672fddb2d76fd2cf2694443f395c02dd1bea0b7fce"},
     {file = "duckdb-1.1.3-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:7c71169fa804c0b65e49afe423ddc2dc83e198640e3b041028da8110f7cd16f7"},
@@ -2298,6 +2490,8 @@ version = "6.3.7"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "duckduckgo_search-6.3.7-py3-none-any.whl", hash = "sha256:6a831a27977751e8928222f04c99a5d069ff80e2a7c78b699c9b9ac6cb48c41b"},
     {file = "duckduckgo_search-6.3.7.tar.gz", hash = "sha256:53d84966429a6377647e2a1ea7224b657575c7a4d506729bdb837e4ee12915ed"},
@@ -2317,6 +2511,8 @@ version = "0.9"
 description = "Module for converting between datetime.timedelta and Go's Duration strings."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
     {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
@@ -2328,6 +2524,8 @@ version = "8.17.0"
 description = "Transport classes and utilities shared among Python Elastic client libraries"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "elastic_transport-8.17.0-py3-none-any.whl", hash = "sha256:59f553300866750e67a38828fede000576562a0e66930c641adb75249e0c95af"},
     {file = "elastic_transport-8.17.0.tar.gz", hash = "sha256:e755f38f99fa6ec5456e236b8e58f0eb18873ac8fe710f74b91a16dd562de2a5"},
@@ -2346,6 +2544,8 @@ version = "8.14.0"
 description = "Python client for Elasticsearch"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "elasticsearch-8.14.0-py3-none-any.whl", hash = "sha256:cef8ef70a81af027f3da74a4f7d9296b390c636903088439087b8262a468c130"},
     {file = "elasticsearch-8.14.0.tar.gz", hash = "sha256:aa2490029dd96f4015b333c1827aa21fd6c0a4d223b00dfb0fe933b8d09a511b"},
@@ -2366,6 +2566,8 @@ version = "2.14.0"
 description = "Emoji for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "emoji-2.14.0-py3-none-any.whl", hash = "sha256:fcc936bf374b1aec67dda5303ae99710ba88cc9cdce2d1a71c5f2204e6d78799"},
     {file = "emoji-2.14.0.tar.gz", hash = "sha256:f68ac28915a2221667cddb3e6c589303c3c6954c6c5af6fefaec7f9bdf72fdca"},
@@ -2380,6 +2582,8 @@ version = "3.24.6.1"
 description = "OBS Python SDK"
 optional = false
 python-versions = "*"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "esdk-obs-python-3.24.6.1.tar.gz", hash = "sha256:c45fed143e99d9256c8560c1d78f651eae0d2e809d16e962f8b286b773c33bf0"},
 ]
@@ -2393,6 +2597,8 @@ version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
     {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
@@ -2404,6 +2610,8 @@ version = "0.2.2"
 description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
     {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
@@ -2418,6 +2626,8 @@ version = "32.1.0"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Faker-32.1.0-py3-none-any.whl", hash = "sha256:c77522577863c264bdc9dad3a2a750ad3f7ee43ff8185072e482992288898814"},
     {file = "faker-32.1.0.tar.gz", hash = "sha256:aac536ba04e6b7beb2332c67df78485fc29c1880ff723beac6d1efd45e2f10f5"},
@@ -2433,6 +2643,8 @@ version = "0.5.6"
 description = "Python client for fal.ai"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fal_client-0.5.6-py3-none-any.whl", hash = "sha256:631fd857a3c44753ee46a2eea1e7276471453aca58faac9c3702f744c7c84050"},
     {file = "fal_client-0.5.6.tar.gz", hash = "sha256:d3afc4b6250023d0ee8437ec504558231d3b106d7aabc12cda8c39883faddecb"},
@@ -2453,6 +2665,8 @@ version = "0.115.6"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"},
     {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
@@ -2473,6 +2687,8 @@ version = "1.10.0"
 description = "Fast read/write of AVRO files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fastavro-1.10.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1a9fe0672d2caf0fe54e3be659b13de3cad25a267f2073d6f4b9f8862acc31eb"},
     {file = "fastavro-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86dd0410770e0c99363788f0584523709d85e57bb457372ec5c285a482c17fe6"},
@@ -2519,6 +2735,8 @@ version = "0.0.4"
 description = "Find the feed URLs for a website."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "feedfinder2-0.0.4.tar.gz", hash = "sha256:3701ee01a6c85f8b865a049c30ba0b4608858c803fe8e30d1d289fdbe89d0efe"},
 ]
@@ -2534,6 +2752,8 @@ version = "6.0.10"
 description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
 optional = false
 python-versions = ">=3.6"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "feedparser-6.0.10-py3-none-any.whl", hash = "sha256:79c257d526d13b944e965f6095700587f27388e50ea16fd245babe4dfae7024f"},
     {file = "feedparser-6.0.10.tar.gz", hash = "sha256:27da485f4637ce7163cdeab13a80312b93b7d0c1b775bef4a47629a3110bca51"},
@@ -2548,6 +2768,8 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -2564,6 +2786,8 @@ version = "1.2.0"
 description = "Infer file type and MIME type of any file/buffer. No external dependencies."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
@@ -2575,6 +2799,8 @@ version = "0.7.0"
 description = "A library for automatically generating command line interfaces."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fire-0.7.0.tar.gz", hash = "sha256:961550f07936eaf65ad1dc8360f2b2bf8408fad46abbfa4d2a3794f8d2a95cdf"},
 ]
@@ -2588,6 +2814,8 @@ version = "0.9.7.1"
 description = "Extract swagger specs from your flask project"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flasgger-0.9.7.1.tar.gz", hash = "sha256:ca098e10bfbb12f047acc6299cc70a33851943a746e550d86e65e60d4df245fb"},
 ]
@@ -2606,6 +2834,8 @@ version = "3.1.0"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flask-3.1.0-py3-none-any.whl", hash = "sha256:d667207822eb83f1c4b50949b1623c8fc8d51f2341d65f72e1a1815397551136"},
     {file = "flask-3.1.0.tar.gz", hash = "sha256:5f873c5184c897c8d9d1b05df1e3d01b14910ce69607a117bd3277098a5836ac"},
@@ -2628,6 +2858,8 @@ version = "1.17"
 description = "Compress responses in your Flask app with gzip, deflate, brotli or zstandard."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Flask_Compress-1.17-py3-none-any.whl", hash = "sha256:415131f197c41109f08e8fdfc3a6628d83d81680fb5ecd0b3a97410e02397b20"},
     {file = "flask_compress-1.17.tar.gz", hash = "sha256:1ebb112b129ea7c9e7d6ee6d5cc0d64f226cbc50c4daddf1a58b9bd02253fbd8"},
@@ -2648,6 +2880,8 @@ version = "4.0.2"
 description = "A Flask extension adding a decorator for CORS support"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Flask_Cors-4.0.2-py2.py3-none-any.whl", hash = "sha256:38364faf1a7a5d0a55bd1d2e2f83ee9e359039182f5e6a029557e1f56d92c09a"},
     {file = "flask_cors-4.0.2.tar.gz", hash = "sha256:493b98e2d1e2f1a4720a7af25693ef2fe32fbafec09a2f72c59f3e475eda61d2"},
@@ -2662,6 +2896,8 @@ version = "0.6.3"
 description = "User authentication and session management for Flask."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Flask-Login-0.6.3.tar.gz", hash = "sha256:5e23d14a607ef12806c699590b89d0f0e0d67baeec599d75947bf9c147330333"},
     {file = "Flask_Login-0.6.3-py3-none-any.whl", hash = "sha256:849b25b82a436bf830a054e74214074af59097171562ab10bfa999e6b78aae5d"},
@@ -2677,6 +2913,8 @@ version = "4.0.7"
 description = "SQLAlchemy database migrations for Flask applications using Alembic."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Flask-Migrate-4.0.7.tar.gz", hash = "sha256:dff7dd25113c210b069af280ea713b883f3840c1e3455274745d7355778c8622"},
     {file = "Flask_Migrate-4.0.7-py3-none-any.whl", hash = "sha256:5c532be17e7b43a223b7500d620edae33795df27c75811ddf32560f7d48ec617"},
@@ -2693,6 +2931,8 @@ version = "0.3.10"
 description = "Simple framework for creating REST APIs"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Flask-RESTful-0.3.10.tar.gz", hash = "sha256:fe4af2ef0027df8f9b4f797aba20c5566801b6ade995ac63b588abf1a59cec37"},
     {file = "Flask_RESTful-0.3.10-py2.py3-none-any.whl", hash = "sha256:1cf93c535172f112e080b0d4503a8d15f93a48c88bdd36dd87269bdaf405051b"},
@@ -2713,6 +2953,8 @@ version = "0.7.0"
 description = "WebSocket support for Flask"
 optional = false
 python-versions = ">=3.6"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flask-sock-0.7.0.tar.gz", hash = "sha256:e023b578284195a443b8d8bdb4469e6a6acf694b89aeb51315b1a34fcf427b7d"},
     {file = "flask_sock-0.7.0-py3-none-any.whl", hash = "sha256:caac4d679392aaf010d02fabcf73d52019f5bdaf1c9c131ec5a428cb3491204a"},
@@ -2731,6 +2973,8 @@ version = "3.1.1"
 description = "Add SQLAlchemy support to your Flask application."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flask_sqlalchemy-3.1.1-py3-none-any.whl", hash = "sha256:4ba4be7f419dc72f4efd8802d69974803c37259dd42f3913b0dcf75c9447e0a0"},
     {file = "flask_sqlalchemy-3.1.1.tar.gz", hash = "sha256:e4b68bb881802dda1a7d878b2fc84c06d1ee57fb40b874d3dc97dabfa36b8312"},
@@ -2746,6 +2990,8 @@ version = "24.12.23"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flatbuffers-24.12.23-py2.py3-none-any.whl", hash = "sha256:c418e0d48890f4142b92fd3e343e73a48f194e1f80075ddcc5793779b3585444"},
     {file = "flatbuffers-24.12.23.tar.gz", hash = "sha256:2910b0bc6ae9b6db78dd2b18d0b7a0709ba240fb5585f286a3a2b30785c22dac"},
@@ -2757,6 +3003,8 @@ version = "1.6.1"
 description = "An Utility to get ttf/otf font metadata"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fontmeta-1.6.1.tar.gz", hash = "sha256:837e5bc4da879394b41bda1428a8a480eb7c4e993799a93cfb582bab771a9c24"},
 ]
@@ -2770,6 +3018,8 @@ version = "4.55.3"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1dcc07934a2165ccdc3a5a608db56fb3c24b609658a5b340aee4ecf3ba679dc0"},
     {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f7d66c15ba875432a2d2fb419523f5d3d347f91f48f57b8b08a2dfc3c39b8a3f"},
@@ -2843,6 +3093,8 @@ version = "2.4.6"
 description = "A simple immutable dictionary"
 optional = false
 python-versions = ">=3.6"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "frozendict-2.4.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c3a05c0a50cab96b4bb0ea25aa752efbfceed5ccb24c007612bc63e51299336f"},
     {file = "frozendict-2.4.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c"},
@@ -2891,6 +3143,8 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -2992,6 +3246,8 @@ version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
     {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
@@ -3031,6 +3287,8 @@ version = "1.0.0"
 description = "Clean single-source support for Python 3 and 2"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"},
     {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
@@ -3042,6 +3300,8 @@ version = "24.11.1"
 description = "Coroutine-based network library"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gevent-24.11.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:92fe5dfee4e671c74ffaa431fd7ffd0ebb4b339363d24d0d944de532409b935e"},
     {file = "gevent-24.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7bfcfe08d038e1fa6de458891bca65c1ada6d145474274285822896a858c870"},
@@ -3102,6 +3362,8 @@ version = "2.2.1"
 description = "gmpy2 interface to GMP, MPFR, and MPC for Python 3.7+"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gmpy2-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:431d599e1542b6e0b3618d3e296702c25215c97fb461d596e27adbe69d765dc6"},
     {file = "gmpy2-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5e51848975837751d1038e82d006e8bb488b179f093ba7fc8a59e1d8a2c61663"},
@@ -3164,6 +3426,8 @@ version = "3.0.0"
 description = "Python bindings to the Google search engine."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-3.0.0-py2.py3-none-any.whl", hash = "sha256:889cf695f84e4ae2c55fbc0cfdaf4c1e729417fa52ab1db0485202ba173e4935"},
     {file = "google-3.0.0.tar.gz", hash = "sha256:143530122ee5130509ad5e989f0512f7cb218b2d4eddbafbad40fd10e8d8ccbe"},
@@ -3178,6 +3442,8 @@ version = "0.6.9"
 description = "Google Ai Generativelanguage API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_ai_generativelanguage-0.6.9-py3-none-any.whl", hash = "sha256:50360cd80015d1a8cc70952e98560f32fa06ddee2e8e9f4b4b98e431dc561e0b"},
     {file = "google_ai_generativelanguage-0.6.9.tar.gz", hash = "sha256:899f1d3a06efa9739f1cd9d2788070178db33c89d4a76f2e8f4da76f649155fa"},
@@ -3195,6 +3461,8 @@ version = "2.18.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-core-2.18.0.tar.gz", hash = "sha256:62d97417bfc674d6cef251e5c4d639a9655e00c45528c4364fbfebb478ce72a9"},
     {file = "google_api_core-2.18.0-py3-none-any.whl", hash = "sha256:5a63aa102e0049abe85b5b88cb9409234c1f70afcda21ce1e40b285b9629c1d6"},
@@ -3220,6 +3488,8 @@ version = "2.90.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-python-client-2.90.0.tar.gz", hash = "sha256:cbcb3ba8be37c6806676a49df16ac412077e5e5dc7fa967941eff977b31fba03"},
     {file = "google_api_python_client-2.90.0-py2.py3-none-any.whl", hash = "sha256:4a41ffb7797d4f28e44635fb1e7076240b741c6493e7c3233c0e4421cec7c913"},
@@ -3238,6 +3508,8 @@ version = "2.29.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-2.29.0.tar.gz", hash = "sha256:672dff332d073227550ffc7457868ac4218d6c500b155fe6cc17d2b13602c360"},
     {file = "google_auth-2.29.0-py2.py3-none-any.whl", hash = "sha256:d452ad095688cd52bae0ad6fafe027f6a6d6f560e810fec20914e17a09526415"},
@@ -3261,6 +3533,8 @@ version = "0.2.0"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
     {file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
@@ -3276,6 +3550,8 @@ version = "1.49.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-aiplatform-1.49.0.tar.gz", hash = "sha256:e6e6d01079bb5def49e4be4db4d12b13c624b5c661079c869c13c855e5807429"},
     {file = "google_cloud_aiplatform-1.49.0-py2.py3-none-any.whl", hash = "sha256:8072d9e0c18d8942c704233d1a93b8d6312fc7b278786a283247950e28ae98df"},
@@ -3323,6 +3599,8 @@ version = "3.27.0"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_cloud_bigquery-3.27.0-py2.py3-none-any.whl", hash = "sha256:b53b0431e5ba362976a4cd8acce72194b4116cdf8115030c7b339b884603fcc3"},
     {file = "google_cloud_bigquery-3.27.0.tar.gz", hash = "sha256:379c524054d7b090fa56d0c22662cc6e6458a6229b6754c0e7177e3a73421d2c"},
@@ -3354,6 +3632,8 @@ version = "2.4.1"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
     {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
@@ -3372,6 +3652,8 @@ version = "1.14.0"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_cloud_resource_manager-1.14.0-py2.py3-none-any.whl", hash = "sha256:4860c3ea9ace760b317ea90d4e27f1b32e54ededdcc340a7cb70c8ef238d8f7c"},
     {file = "google_cloud_resource_manager-1.14.0.tar.gz", hash = "sha256:daa70a3a4704759d31f812ed221e3b6f7b660af30c7862e4a0060ea91291db30"},
@@ -3390,6 +3672,8 @@ version = "2.16.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-storage-2.16.0.tar.gz", hash = "sha256:dda485fa503710a828d01246bd16ce9db0823dc51bbca742ce96a6817d58669f"},
     {file = "google_cloud_storage-2.16.0-py2.py3-none-any.whl", hash = "sha256:91a06b96fb79cf9cdfb4e759f178ce11ea885c79938f89590344d079305f5852"},
@@ -3412,6 +3696,8 @@ version = "1.6.0"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_crc32c-1.6.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5bcc90b34df28a4b38653c36bb5ada35671ad105c99cfe915fb5bed7ad6924aa"},
     {file = "google_crc32c-1.6.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d9e9913f7bd69e093b81da4535ce27af842e7bf371cde42d1ae9e9bd382dc0e9"},
@@ -3451,6 +3737,8 @@ version = "0.8.1"
 description = "Google Generative AI High level API client library and tools."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_generativeai-0.8.1-py3-none-any.whl", hash = "sha256:b031877f24d51af0945207657c085896a0a886eceec7a1cb7029327b0aa6e2f6"},
 ]
@@ -3474,6 +3762,8 @@ version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
     {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
@@ -3489,6 +3779,8 @@ version = "2.7.2"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_resumable_media-2.7.2-py2.py3-none-any.whl", hash = "sha256:3ce7551e9fe6d99e9a126101d2536612bb73486721951e9562fee0f90c6ababa"},
     {file = "google_resumable_media-2.7.2.tar.gz", hash = "sha256:5280aed4629f2b60b847b0d42f9857fd4935c11af266744df33d8074cae92fe0"},
@@ -3507,6 +3799,8 @@ version = "1.63.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
     {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
@@ -3525,6 +3819,8 @@ version = "2.11.1"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gotrue-2.11.1-py3-none-any.whl", hash = "sha256:1b2d915bdc65fd0ad608532759ce9c72fa2e910145c1e6901f2188519e7bcd2d"},
     {file = "gotrue-2.11.1.tar.gz", hash = "sha256:5594ceee60bd873e5f4fdd028b08dece3906f6013b6ed08e7786b71c0092fed0"},
@@ -3540,6 +3836,7 @@ version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "tools", "vdb"]
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -3615,6 +3912,7 @@ files = [
     {file = "greenlet-3.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:3319aa75e0e0639bc15ff54ca327e8dc7a6fe404003496e3c6925cd3142e0e22"},
     {file = "greenlet-3.1.1.tar.gz", hash = "sha256:4ce3ac6cdb6adf7946475d7ef31777c26d94bccc377e070a7986bd2d5c515467"},
 ]
+markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_python_implementation == \"CPython\")", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 
 [package.extras]
 docs = ["Sphinx", "furo"]
@@ -3626,6 +3924,8 @@ version = "0.14.0"
 description = "IAM API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpc_google_iam_v1-0.14.0-py2.py3-none-any.whl", hash = "sha256:fb4a084b30099ba3ab07d61d620a0d4429570b13ff53bd37bac75235f98b7da4"},
     {file = "grpc_google_iam_v1-0.14.0.tar.gz", hash = "sha256:c66e07aa642e39bb37950f9e7f491f70dad150ac9801263b42b2814307c2df99"},
@@ -3642,6 +3942,8 @@ version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"},
     {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"},
@@ -3709,6 +4011,8 @@ version = "1.62.3"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-status-1.62.3.tar.gz", hash = "sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485"},
     {file = "grpcio_status-1.62.3-py3-none-any.whl", hash = "sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8"},
@@ -3725,6 +4029,8 @@ version = "1.62.3"
 description = "Protobuf code generator for gRPC"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-tools-1.62.3.tar.gz", hash = "sha256:7c7136015c3d62c3eef493efabaf9e3380e3e66d24ee8e94c01cb71377f57833"},
     {file = "grpcio_tools-1.62.3-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:2f968b049c2849540751ec2100ab05e8086c24bead769ca734fdab58698408c1"},
@@ -3787,6 +4093,8 @@ version = "23.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
     {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
@@ -3808,6 +4116,8 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -3819,6 +4129,8 @@ version = "4.1.0"
 description = "HTTP/2 State-Machine based protocol implementation"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
     {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
@@ -3834,6 +4146,8 @@ version = "3.1.0"
 description = "Python wrapper for hiredis"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hiredis-3.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:2892db9db21f0cf7cc298d09f85d3e1f6dc4c4c24463ab67f79bc7a006d51867"},
     {file = "hiredis-3.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:93cfa6cc25ee2ceb0be81dc61eca9995160b9e16bdb7cca4a00607d57e998918"},
@@ -3952,6 +4266,8 @@ version = "4.0.0"
 description = "Pure-Python HPACK header compression"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
     {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
@@ -3963,6 +4279,8 @@ version = "1.1"
 description = "HTML parser based on the WHATWG HTML specification"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d"},
     {file = "html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f"},
@@ -3984,6 +4302,8 @@ version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
     {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -4005,6 +4325,8 @@ version = "0.22.0"
 description = "A comprehensive HTTP client library."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
     {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
@@ -4019,6 +4341,8 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -4074,6 +4398,8 @@ version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
     {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -4101,6 +4427,8 @@ version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
@@ -4112,6 +4440,8 @@ version = "0.16.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
     {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -4144,6 +4474,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -4158,6 +4490,8 @@ version = "6.0.1"
 description = "HTTP/2 framing layer for Python"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
     {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
@@ -4169,6 +4503,8 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -4183,6 +4519,8 @@ version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
     {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
@@ -4202,6 +4540,8 @@ version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
     {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
@@ -4221,6 +4561,8 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -4232,6 +4574,8 @@ version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
     {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
@@ -4243,6 +4587,8 @@ version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
@@ -4254,6 +4600,8 @@ version = "0.42.1"
 description = "Chinese Words Segmentation Utilities"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jieba-0.42.1.tar.gz", hash = "sha256:055ca12f62674fafed09427f176506079bc135638a14e23e25be909131928db2"},
 ]
@@ -4264,6 +4612,8 @@ version = "0.35.1"
 description = "Chinese Words Segementation Utilities"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jieba3k-0.35.1.zip", hash = "sha256:980a4f2636b778d312518066be90c7697d410dd5a472385f5afced71a2db1c10"},
 ]
@@ -4274,6 +4624,8 @@ version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
     {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
@@ -4291,6 +4643,8 @@ version = "0.8.2"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"},
     {file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"},
@@ -4376,6 +4730,8 @@ version = "0.10.0"
 description = "JSON Matching Expressions"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jmespath-0.10.0-py2.py3-none-any.whl", hash = "sha256:cdf6525904cc597730141d61b36f2e4b8ecc257c420fa2f4549bac2c2d0cb72f"},
     {file = "jmespath-0.10.0.tar.gz", hash = "sha256:b85d0567b8666149a93172712e68920734333c0ce7e89b78b3e987f71e5ed4f9"},
@@ -4387,6 +4743,8 @@ version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
@@ -4398,6 +4756,8 @@ version = "4.0.0"
 description = "Library with helpers for the jsonlines file format"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"},
     {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"},
@@ -4412,6 +4772,8 @@ version = "1.6.1"
 description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonpath-ng-1.6.1.tar.gz", hash = "sha256:086c37ba4917304850bd837aeab806670224d3f038fe2833ff593a672ef0a5fa"},
     {file = "jsonpath_ng-1.6.1-py3-none-any.whl", hash = "sha256:8f22cd8273d7772eea9aaa84d922e0841aa36fdb8a2c6b7f6c3791a16a9bc0be"},
@@ -4426,6 +4788,8 @@ version = "1.0.6"
 description = "A more powerful JSONPath implementation in modern python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
     {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
@@ -4437,6 +4801,8 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -4458,6 +4824,8 @@ version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
     {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
@@ -4472,6 +4840,8 @@ version = "0.2.1"
 description = "Static image export for web-based visualization libraries with zero dependencies"
 optional = false
 python-versions = "*"
+groups = ["indirect", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kaleido-0.2.1-py2.py3-none-macosx_10_11_x86_64.whl", hash = "sha256:ca6f73e7ff00aaebf2843f73f1d3bacde1930ef5041093fe76b83a15785049a7"},
     {file = "kaleido-0.2.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:bb9a5d1f710357d5d432ee240ef6658a6d124c3e610935817b4b42da9c787c05"},
@@ -4487,6 +4857,8 @@ version = "1.4.8"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.10"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db"},
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b"},
@@ -4576,6 +4948,8 @@ version = "5.4.2"
 description = "Messaging library for Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kombu-5.4.2-py3-none-any.whl", hash = "sha256:14212f5ccf022fc0a70453bb025a1dcc32782a588c49ea866884047d66e14763"},
     {file = "kombu-5.4.2.tar.gz", hash = "sha256:eef572dd2fd9fc614b37580e3caeafdd5af46c1eff31e7fba89138cdb406f2cf"},
@@ -4609,6 +4983,8 @@ version = "31.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
     {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
@@ -4636,6 +5012,8 @@ version = "1.0.9"
 description = "Language detection library ported from Google's language-detection."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "langdetect-1.0.9-py2-none-any.whl", hash = "sha256:7cbc0746252f19e76f77c0b1690aadf01963be835ef0cd4b56dddf2a8f1dfc2a"},
     {file = "langdetect-1.0.9.tar.gz", hash = "sha256:cbc1fef89f8d062739774bd51eda3da3274006b3661d199c2655f6b3f6d605a0"},
@@ -4650,6 +5028,8 @@ version = "2.51.5"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "langfuse-2.51.5-py3-none-any.whl", hash = "sha256:b95401ca710ef94b521afa6541933b6f93d7cfd4a97523c8fc75bca4d6d219fb"},
     {file = "langfuse-2.51.5.tar.gz", hash = "sha256:55bc37b5c5d3ae133c1a95db09117cfb3117add110ba02ebbf2ce45ac4395c5b"},
@@ -4675,6 +5055,8 @@ version = "0.1.147"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
     {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
@@ -4699,6 +5081,8 @@ version = "0.26.1"
 description = "Python extension for computing string edit distances and similarities."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "levenshtein-0.26.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8dc4a4aecad538d944a1264c12769c99e3c0bf8e741fc5e454cc954913befb2e"},
     {file = "levenshtein-0.26.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec108f368c12b25787c8b1a4537a1452bc53861c3ee4abc810cc74098278edcd"},
@@ -4799,6 +5183,8 @@ version = "1.51.3"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "litellm-1.51.3-py3-none-any.whl", hash = "sha256:440d3c7cc5ab8eeb12cee8f4d806bff05b7db834ebc11117d7fa070a1142ced5"},
     {file = "litellm-1.51.3.tar.gz", hash = "sha256:31eff9fcbf7b058bac0fd7432c4ea0487e8555f12446a1f30e5862e33716f44d"},
@@ -4827,6 +5213,8 @@ version = "0.43.0"
 description = "lightweight wrapper around basic LLVM functionality"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "llvmlite-0.43.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a289af9a1687c6cf463478f0fa8e8aa3b6fb813317b0d70bf1ed0759eab6f761"},
     {file = "llvmlite-0.43.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4fd101f571a31acb1559ae1af30f30b1dc4b3186669f92ad780e17c81e91bc"},
@@ -4857,6 +5245,8 @@ version = "0.7.3"
 description = "Python logging made (stupidly) simple"
 optional = false
 python-versions = "<4.0,>=3.5"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "loguru-0.7.3-py3-none-any.whl", hash = "sha256:31a33c10c8e1e10422bfd431aeb5d351c7cf7fa671e3c4df004162264b28220c"},
     {file = "loguru-0.7.3.tar.gz", hash = "sha256:19480589e77d47b8d85b2c827ad95d49bf31b0dcde16593892eb51dd18706eb6"},
@@ -4875,6 +5265,8 @@ version = "5.3.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "lxml-5.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:dd36439be765e2dde7660212b5275641edbc813e7b24668831a5c8ac91180656"},
     {file = "lxml-5.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ae5fe5c4b525aa82b8076c1a59d642c17b6e8739ecf852522c6321852178119d"},
@@ -5029,6 +5421,8 @@ version = "4.3.3"
 description = "LZ4 Bindings for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "lz4-4.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201"},
     {file = "lz4-4.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f"},
@@ -5079,6 +5473,8 @@ version = "1.0.56"
 description = "Mailchimp Transactional API"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mailchimp_transactional-1.0.56-py3-none-any.whl", hash = "sha256:a76ea88b90a2d47d8b5134586aabbd3a96c459f6066d8886748ab59e50de36eb"},
 ]
@@ -5096,6 +5492,8 @@ version = "1.3.8"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Mako-1.3.8-py3-none-any.whl", hash = "sha256:42f48953c7eb91332040ff567eb7eea69b22e7a4affbc5ba8e845e8f730f6627"},
     {file = "mako-1.3.8.tar.gz", hash = "sha256:577b97e414580d3e088d47c2dbbe9594aa7a5146ed2875d4dfa9075af2dd3cc8"},
@@ -5115,6 +5513,8 @@ version = "3.5.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Markdown-3.5.2-py3-none-any.whl", hash = "sha256:d43323865d89fc0cb9b20c75fc8ad313af307cc087e84b657d9eec768eddeadd"},
     {file = "Markdown-3.5.2.tar.gz", hash = "sha256:e1ac7b3dc550ee80e602e71c1d168002f062e49f1b11e26a36264dafd4df2ef8"},
@@ -5130,6 +5530,8 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -5154,6 +5556,8 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -5224,6 +5628,8 @@ version = "3.24.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "marshmallow-3.24.1-py3-none-any.whl", hash = "sha256:ddb5c9987017d37be351c184e4e867e7bf55f7331f4da730dedad6b7af662cdd"},
     {file = "marshmallow-3.24.1.tar.gz", hash = "sha256:efdcb656ac8788f0e3d1d938f8dc0f237bf1a99aff8f6dfbffa594981641cea0"},
@@ -5243,6 +5649,8 @@ version = "3.8.4"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "matplotlib-3.8.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:abc9d838f93583650c35eca41cfcec65b2e7cb50fd486da6f0c49b5e1ed23014"},
     {file = "matplotlib-3.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f65c9f002d281a6e904976007b2d46a1ee2bcea3a68a8c12dda24709ddc9106"},
@@ -5291,6 +5699,8 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -5302,6 +5712,8 @@ version = "2.4.11"
 description = "A lightweight version of Milvus wrapped with Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and sys_platform != \"win32\""
 files = [
     {file = "milvus_lite-2.4.11-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9e563ae0dca1b41bfd76b90f06b2bcc474460fe4eba142c9bab18d2747ff843b"},
     {file = "milvus_lite-2.4.11-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d21472bd24eb327542817829ce7cb51878318e6173c4d62353c77421aecf98d6"},
@@ -5318,6 +5730,8 @@ version = "3.1.0"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mistune-3.1.0-py3-none-any.whl", hash = "sha256:b05198cf6d671b3deba6c87ec6cf0d4eb7b72c524636eddb6dbf13823b52cee1"},
     {file = "mistune-3.1.0.tar.gz", hash = "sha256:dbcac2f78292b9dc066cd03b7a3a26b62d85f8159f2ea5fd28e55df79908d667"},
@@ -5329,6 +5743,8 @@ version = "5.0.1"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mmh3-5.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f0a4b4bf05778ed77d820d6e7d0e9bd6beb0c01af10e1ce9233f5d2f814fcafa"},
     {file = "mmh3-5.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac7a391039aeab95810c2d020b69a94eb6b4b37d4e2374831e92db3a0cdf71c6"},
@@ -5442,6 +5858,8 @@ version = "4.0.3"
 description = "Rolling backport of unittest.mock for all Pythons"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mock-4.0.3-py3-none-any.whl", hash = "sha256:122fcb64ee37cfad5b3f48d7a7d51875d7031aaf3d8be7c42e2bee25044eee62"},
     {file = "mock-4.0.3.tar.gz", hash = "sha256:7d3fbbde18228f4ff2f1f119a45cdffa458b4c0dee32eb4d2bb2f82554bac7bc"},
@@ -5458,6 +5876,8 @@ version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
     {file = "monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7"},
@@ -5469,6 +5889,8 @@ version = "0.0.10"
 description = "Fonts manager for matplotlib"
 optional = false
 python-versions = ">=3.9"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mplfonts-0.0.10-py3-none-any.whl", hash = "sha256:835e35ada4a6ef85ce29ea81dd589a98b92af5b5c8e8b9f4e2d79dfea9c2ba40"},
     {file = "mplfonts-0.0.10.tar.gz", hash = "sha256:5da8d1afd53b8d38a1053d61a7ebd936de08b8480fba17f9b655beb270af8089"},
@@ -5486,6 +5908,8 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -5503,6 +5927,8 @@ version = "1.31.1"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "msal-1.31.1-py3-none-any.whl", hash = "sha256:29d9882de247e96db01386496d59f29035e5e841bcac892e6d7bf4390bf6bd17"},
     {file = "msal-1.31.1.tar.gz", hash = "sha256:11b5e6a3f802ffd3a72107203e20c4eac6ef53401961b880af2835b723d80578"},
@@ -5522,6 +5948,8 @@ version = "1.2.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "msal_extensions-1.2.0-py3-none-any.whl", hash = "sha256:cf5ba83a2113fa6dc011a254a72f1c223c88d7dfad74cc30617c4679a417704d"},
     {file = "msal_extensions-1.2.0.tar.gz", hash = "sha256:6f41b320bfd2933d631a215c91ca0dd3e67d84bd1a2f50ce917d5874ec646bef"},
@@ -5537,6 +5965,8 @@ version = "0.7.1"
 description = "AutoRest swagger generator Python client runtime."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "msrest-0.7.1-py3-none-any.whl", hash = "sha256:21120a810e1233e5e6cc7fe40b474eeb4ec6f757a15d7cf86702c369f9567c32"},
     {file = "msrest-0.7.1.zip", hash = "sha256:6e7661f46f3afd88b75667b7187a92829924446c7ea1d169be8c4bb7eeb788b9"},
@@ -5558,6 +5988,8 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -5659,6 +6091,8 @@ version = "0.70.17"
 description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7ddb24e5bcdb64e90ec5543a1f05a39463068b6d3b804aa3f2a4e16ec28562d6"},
     {file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d729f55198a3579f6879766a6d9b72b42d4b320c0dcb7844afb774d75b573c62"},
@@ -5687,6 +6121,8 @@ version = "0.0.11"
 description = "Non-blocking Python methods using decorators"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multitasking-0.0.11-py3-none-any.whl", hash = "sha256:1e5b37a5f8fc1e6cfaafd1a82b6b1cc6d2ed20037d3b89c25a84f499bd7b3dd4"},
     {file = "multitasking-0.0.11.tar.gz", hash = "sha256:4d6bc3cc65f9b2dca72fb5a787850a88dae8f620c2b36ae9b55248e51bcd6026"},
@@ -5698,6 +6134,8 @@ version = "1.13.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
     {file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
@@ -5750,6 +6188,8 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["main", "dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -5761,6 +6201,8 @@ version = "0.3.1"
 description = "JsonDecoder for ndjson"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ndjson-0.3.1-py2.py3-none-any.whl", hash = "sha256:839c22275e6baa3040077b83c005ac24199b94973309a8a1809be962c753a410"},
     {file = "ndjson-0.3.1.tar.gz", hash = "sha256:bf9746cb6bb1cb53d172cda7f154c07c786d665ff28341e4e689b796b229e5d6"},
@@ -5772,6 +6214,8 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
@@ -5783,6 +6227,8 @@ version = "0.2.8"
 description = "Simplified python article discovery & extraction."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "newspaper3k-0.2.8-py3-none-any.whl", hash = "sha256:44a864222633d3081113d1030615991c3dbba87239f6bbf59d91240f71a22e3e"},
     {file = "newspaper3k-0.2.8.tar.gz", hash = "sha256:9f1bd3e1fb48f400c715abf875cc7b0a67b7ddcd87f50c9aeeb8fcbbbd9004fb"},
@@ -5809,6 +6255,8 @@ version = "3.9.1"
 description = "Natural Language Toolkit"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
     {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
@@ -5834,6 +6282,8 @@ version = "3.1.3"
 description = "The official Nomic python client."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nomic-3.1.3.tar.gz", hash = "sha256:b06744b79fbe47451874ca7b272cafa1bb272cfb82acc79c64abfc943a98e035"},
 ]
@@ -5864,6 +6314,8 @@ version = "0.5.7"
 description = "novita SDK for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "novita_client-0.5.7-py3-none-any.whl", hash = "sha256:844a4c09c98328c8d4f72e1d3f63f76285c2963dcc37ccb2de41cbfdbe7fa51d"},
     {file = "novita_client-0.5.7.tar.gz", hash = "sha256:65baf748757aafd8ab080a64f9ab069a40c0810fc1fa9be9c26596988a0aa4b4"},
@@ -5880,6 +6332,8 @@ version = "0.60.0"
 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numba-0.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d761de835cd38fb400d2c26bb103a2726f548dc30368853121d66201672e651"},
     {file = "numba-0.60.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:159e618ef213fba758837f9837fb402bbe65326e60ba0633dbe6c7f274d42c1b"},
@@ -5914,6 +6368,8 @@ version = "2.9.0"
 description = "Fast numerical expression evaluator for NumPy"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numexpr-2.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c52b4ac54514f5d4d8ead66768810cd5f77aa198e6064213d9b5c7b2e1c97c35"},
     {file = "numexpr-2.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:50f57bc333f285e8c46b1ce61c6e94ec9bb74e4ea0d674d1c6c6f4a286f64fe4"},
@@ -5955,6 +6411,8 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "indirect", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -6000,6 +6458,8 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -6016,6 +6476,8 @@ version = "2.135.2"
 description = "Oracle Cloud Infrastructure Python SDK"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oci-2.135.2-py3-none-any.whl", hash = "sha256:5213319244e1c7f108bcb417322f33f01f043fd9636d4063574039f5fdf4e4f7"},
     {file = "oci-2.135.2.tar.gz", hash = "sha256:520f78983c5246eae80dd5ecfd05e3a565c8b98d02ef0c1b11ba1f61bcccb61d"},
@@ -6035,6 +6497,8 @@ version = "1.4.1"
 description = "Python API and tools to manipulate OpenDocument files"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "odfpy-1.4.1.tar.gz", hash = "sha256:db766a6e59c5103212f3cc92ec8dd50a0f3a02790233ed0b52148b70d3c438ec"},
 ]
@@ -6048,6 +6512,8 @@ version = "0.47"
 description = "Python package to parse, read and write Microsoft OLE2 files (Structured Storage or Compound Document, Microsoft Office)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "olefile-0.47-py2.py3-none-any.whl", hash = "sha256:543c7da2a7adadf21214938bb79c83ea12b473a4b6ee4ad4bf854e7715e13d1f"},
     {file = "olefile-0.47.zip", hash = "sha256:599383381a0bf3dfbd932ca0ca6515acd174ed48870cbf7fee123d698c192c1c"},
@@ -6062,6 +6528,8 @@ version = "1.20.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "onnxruntime-1.20.1-cp310-cp310-macosx_13_0_universal2.whl", hash = "sha256:e50ba5ff7fed4f7d9253a6baf801ca2883cc08491f9d32d78a80da57256a5439"},
     {file = "onnxruntime-1.20.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7b2908b50101a19e99c4d4e97ebb9905561daf61829403061c1adc1b588bc0de"},
@@ -6100,6 +6568,8 @@ version = "1.52.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "openai-1.52.2-py3-none-any.whl", hash = "sha256:57e9e37bc407f39bb6ec3a27d7e8fb9728b2779936daa1fcf95df17d3edfaccc"},
     {file = "openai-1.52.2.tar.gz", hash = "sha256:87b7d0f69d85f5641678d414b7ee3082363647a5c66a462ed7f3ccb59582da0d"},
@@ -6124,6 +6594,8 @@ version = "0.11.4"
 description = "A stats collection and distributed tracing framework"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opencensus-0.11.4-py2.py3-none-any.whl", hash = "sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864"},
     {file = "opencensus-0.11.4.tar.gz", hash = "sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2"},
@@ -6140,6 +6612,8 @@ version = "0.1.3"
 description = "OpenCensus Runtime Context"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opencensus-context-0.1.3.tar.gz", hash = "sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c"},
     {file = "opencensus_context-0.1.3-py2.py3-none-any.whl", hash = "sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039"},
@@ -6151,6 +6625,8 @@ version = "1.1.14"
 description = "OpenCensus Azure Monitor Exporter"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opencensus-ext-azure-1.1.14.tar.gz", hash = "sha256:c9c6ebad542aeb61813322e627d5889a563e7b8c4e024bf58469d06db73ab148"},
     {file = "opencensus_ext_azure-1.1.14-py2.py3-none-any.whl", hash = "sha256:a1f6870d6e4e312832e6ebd95df28ed499ac637c36cbd77665fe06e24ddeb2f1"},
@@ -6169,6 +6645,8 @@ version = "0.1.1"
 description = "OpenCensus logging Integration"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opencensus-ext-logging-0.1.1.tar.gz", hash = "sha256:c203b70f034151dada529f543af330ba17aaffec27d8a5267d03c713eb1de334"},
     {file = "opencensus_ext_logging-0.1.1-py2.py3-none-any.whl", hash = "sha256:cfdaf5da5d8b195ff3d1af87a4066a6621a28046173f6be4b0b6caec4a3ca89f"},
@@ -6183,6 +6661,8 @@ version = "0.45.13"
 description = "Apache OpenDAL™ Python Binding"
 optional = false
 python-versions = ">=3.10"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opendal-0.45.13-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:3afe389215249b1d067cace6b8d1259ab1a2a74bc963d1c7e47dac5e85c8ffc5"},
     {file = "opendal-0.45.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a0062482d348617abdc89515fa9cea5c17ae8ac28694b8b5a704530eb91c90e"},
@@ -6209,6 +6689,8 @@ version = "3.1.5"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"},
     {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"},
@@ -6223,6 +6705,8 @@ version = "2.4.0"
 description = "Python client for OpenSearch"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opensearch-py-2.4.0.tar.gz", hash = "sha256:7eba2b6ed2ddcf33225bfebfba2aee026877838cc39f760ec80f27827308cc4b"},
     {file = "opensearch_py-2.4.0-py2.py3-none-any.whl", hash = "sha256:316077235437c8ceac970232261f3393c65fb92a80f33c5b106f50f1dab24fd9"},
@@ -6247,6 +6731,8 @@ version = "1.29.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"},
     {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"},
@@ -6262,6 +6748,8 @@ version = "1.15.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.15.0-py3-none-any.whl", hash = "sha256:c2a5492ba7d140109968135d641d06ce3c5bd73c50665f787526065d57d7fd1d"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.15.0.tar.gz", hash = "sha256:844f2a4bb9bcda34e4eb6fe36765e5031aacb36dc60ed88c90fc246942ea26e7"},
@@ -6284,6 +6772,8 @@ version = "0.50b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation-0.50b0-py3-none-any.whl", hash = "sha256:b8f9fc8812de36e1c6dffa5bfc6224df258841fb387b6dfe5df15099daa10630"},
     {file = "opentelemetry_instrumentation-0.50b0.tar.gz", hash = "sha256:7d98af72de8dec5323e5202e46122e5f908592b22c6d24733aad619f07d82979"},
@@ -6301,6 +6791,8 @@ version = "0.50b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_asgi-0.50b0-py3-none-any.whl", hash = "sha256:2ba1297f746e55dec5a17fe825689da0613662fb25c004c3965a6c54b1d5be22"},
     {file = "opentelemetry_instrumentation_asgi-0.50b0.tar.gz", hash = "sha256:3ca4cb5616ae6a3e8ce86e7d5c360a8d8cc8ed722cf3dc8a5e44300774e87d49"},
@@ -6322,6 +6814,8 @@ version = "0.50b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_fastapi-0.50b0-py3-none-any.whl", hash = "sha256:8f03b738495e4705fbae51a2826389c7369629dace89d0f291c06ffefdff5e52"},
     {file = "opentelemetry_instrumentation_fastapi-0.50b0.tar.gz", hash = "sha256:16b9181682136da210295def2bb304a32fb9bdee9a935cdc9da43567f7c1149e"},
@@ -6343,6 +6837,8 @@ version = "1.15.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_proto-1.15.0-py3-none-any.whl", hash = "sha256:044b6d044b4d10530f250856f933442b8753a17f94ae37c207607f733fb9a844"},
     {file = "opentelemetry_proto-1.15.0.tar.gz", hash = "sha256:9c4008e40ac8cab359daac283fbe7002c5c29c77ea2674ad5626a249e64e0101"},
@@ -6357,6 +6853,8 @@ version = "1.29.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"},
     {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"},
@@ -6373,6 +6871,8 @@ version = "0.50b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.50b0-py3-none-any.whl", hash = "sha256:e87efba8fdb67fb38113efea6a349531e75ed7ffc01562f65b802fcecb5e115e"},
     {file = "opentelemetry_semantic_conventions-0.50b0.tar.gz", hash = "sha256:02dc6dbcb62f082de9b877ff19a3f1ffaa3c306300fa53bfac761c4567c83d38"},
@@ -6388,6 +6888,8 @@ version = "0.50b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_util_http-0.50b0-py3-none-any.whl", hash = "sha256:21f8aedac861ffa3b850f8c0a6c373026189eb8630ac6e14a2bf8c55695cc090"},
     {file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
@@ -6399,6 +6901,8 @@ version = "1.3.4"
 description = "Comet tool for logging and evaluating LLM traces"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opik-1.3.4-py3-none-any.whl", hash = "sha256:c5e10a9f1fb18188471cce2ae8b841e8b187d04ee3b1aed01c643102bae588fb"},
     {file = "opik-1.3.4.tar.gz", hash = "sha256:6013d3af4aea61f38b9e7121aa5d8cf4305a5ed3807b3f43d9ab91602b2a5785"},
@@ -6424,6 +6928,8 @@ version = "2.2.1"
 description = "Python interface to Oracle Database"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oracledb-2.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3dacef7c4dd3fca94728f05336076e063450bb57ea569e8dd67fae960aaf537e"},
     {file = "oracledb-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd8fdc93a65ae2e1c934a0e3e64cb01997ba004c48a986a37583f670dd344802"},
@@ -6467,6 +6973,7 @@ version = "3.10.13"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
 files = [
     {file = "orjson-3.10.13-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1232c5e873a4d1638ef957c5564b4b0d6f2a6ab9e207a9b3de9de05a09d1d920"},
     {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d26a0eca3035619fa366cbaf49af704c7cb1d4a0e6c79eced9f6a3f2437964b6"},
@@ -6544,6 +7051,7 @@ files = [
     {file = "orjson-3.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:5385935a73adce85cc7faac9d396683fd813566d3857fa95a0b521ef84a5b588"},
     {file = "orjson-3.10.13.tar.gz", hash = "sha256:eb9bfb14ab8f68d9d9492d4817ae497788a15fd7da72e14dfabc289c3bb088ec"},
 ]
+markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
 [[package]]
 name = "oss2"
@@ -6551,6 +7059,8 @@ version = "2.18.5"
 description = "Aliyun OSS (Object Storage Service) SDK"
 optional = false
 python-versions = "*"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oss2-2.18.5.tar.gz", hash = "sha256:555c857f4441ae42a2c0abab8fc9482543fba35d65a4a4be73101c959a2b4011"},
 ]
@@ -6569,6 +7079,8 @@ version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
     {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
@@ -6580,6 +7092,8 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -6591,6 +7105,8 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -6685,6 +7201,8 @@ version = "2.2.3.241126"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pandas_stubs-2.2.3.241126-py3-none-any.whl", hash = "sha256:74aa79c167af374fe97068acc90776c0ebec5266a6e5c69fe11e9c2cf51f2267"},
     {file = "pandas_stubs-2.2.3.241126.tar.gz", hash = "sha256:cf819383c6d9ae7d4dabf34cd47e1e45525bb2f312e6ad2939c2c204cb708acd"},
@@ -6700,6 +7218,8 @@ version = "0.3.3"
 description = "parallel graph management and execution in heterogeneous computing"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pathos-0.3.3-py3-none-any.whl", hash = "sha256:e04616c6448608ad1f809360be22e3f2078d949a36a81e6991da6c2dd1f82513"},
     {file = "pathos-0.3.3.tar.gz", hash = "sha256:dcb2a5f321aa34ca541c1c1861011ea49df357bb908379c21dd5741f666e0a58"},
@@ -6717,6 +7237,8 @@ version = "3.17.8"
 description = "a little orm"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "peewee-3.17.8.tar.gz", hash = "sha256:ce1d05db3438830b989a1b9d0d0aa4e7f6134d5f6fd57686eeaa26a3e6485a8c"},
 ]
@@ -6727,6 +7249,8 @@ version = "0.2.2"
 description = "Python binding for pgvecto.rs"
 optional = false
 python-versions = "<3.13,>=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pgvecto_rs-0.2.2-py3-none-any.whl", hash = "sha256:5f3f7f806813de408c45dc10a9eb418b986c4d7b7723e8fce9298f2f7d8fbbd5"},
     {file = "pgvecto_rs-0.2.2.tar.gz", hash = "sha256:edaa913d1747152b1407cbdf6337d51ac852547b54953ef38997433be3a75a3b"},
@@ -6749,6 +7273,8 @@ version = "0.2.5"
 description = "pgvector support for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pgvector-0.2.5-py2.py3-none-any.whl", hash = "sha256:5e5e93ec4d3c45ab1fa388729d56c602f6966296e19deee8878928c6d567e41b"},
 ]
@@ -6762,6 +7288,8 @@ version = "11.1.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pillow-11.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:e1abe69aca89514737465752b4bcaf8016de61b3be1397a8fc260ba33321b3a8"},
     {file = "pillow-11.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c640e5a06869c75994624551f45e5506e4256562ead981cce820d5ab39ae2192"},
@@ -6850,6 +7378,8 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -6866,6 +7396,8 @@ version = "5.24.1"
 description = "An open-source, interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "plotly-5.24.1-py3-none-any.whl", hash = "sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089"},
     {file = "plotly-5.24.1.tar.gz", hash = "sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae"},
@@ -6881,6 +7413,8 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -6896,6 +7430,8 @@ version = "3.11"
 description = "Python Lex & Yacc"
 optional = false
 python-versions = "*"
+groups = ["lint", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
     {file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"},
@@ -6907,6 +7443,8 @@ version = "2.10.1"
 description = "Wraps the portalocker recipe for easy usage"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"},
     {file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"},
@@ -6926,6 +7464,8 @@ version = "0.17.2"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "postgrest-0.17.2-py3-none-any.whl", hash = "sha256:f7c4f448e5a5e2d4c1dcf192edae9d1007c4261e9a6fb5116783a0046846ece2"},
     {file = "postgrest-0.17.2.tar.gz", hash = "sha256:445cd4e4a191e279492549df0c4e827d32f9d01d0852599bb8a6efb0f07fcf78"},
@@ -6942,6 +7482,8 @@ version = "3.7.5"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "posthog-3.7.5-py2.py3-none-any.whl", hash = "sha256:022132c17069dde03c5c5904e2ae1b9bd68d5059cbc5a8dffc5c1537a1b71cb5"},
     {file = "posthog-3.7.5.tar.gz", hash = "sha256:8ba40ab623da35db72715fc87fe7dccb7fc272ced92581fe31db2d4dbe7ad761"},
@@ -6965,6 +7507,8 @@ version = "0.3.5"
 description = "utilities for filesystem exploration and automated builds"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pox-0.3.5-py3-none-any.whl", hash = "sha256:9e82bcc9e578b43e80a99cad80f0d8f44f4d424f0ee4ee8d4db27260a6aa365a"},
     {file = "pox-0.3.5.tar.gz", hash = "sha256:8120ee4c94e950e6e0483e050a4f0e56076e590ba0a9add19524c254bd23c2d1"},
@@ -6976,6 +7520,8 @@ version = "1.7.6.9"
 description = "distributed and parallel Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ppft-1.7.6.9-py3-none-any.whl", hash = "sha256:dab36548db5ca3055067fbe6b1a17db5fee29f3c366c579a9a27cebb52ed96f0"},
     {file = "ppft-1.7.6.9.tar.gz", hash = "sha256:73161c67474ea9d81d04bcdad166d399cff3f084d5d2dc21ebdd46c075bbc265"},
@@ -6990,6 +7536,8 @@ version = "0.10.0"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "primp-0.10.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:7a91a089bf2962b5b56c8d83d09535eb81cf55b53c09d83208b9e5a715cf2c17"},
     {file = "primp-0.10.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0128453cce81552f7aa6ac2bf9b8741b7816cdb2d10536e62c77daaf6483b9af"},
@@ -7011,6 +7559,8 @@ version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"},
     {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"},
@@ -7025,6 +7575,8 @@ version = "0.2.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6b3f39a85d671436ee3d12c017f8fdea38509e4f25b28eb25877293c98c243f6"},
     {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d51fbe4285d5db5d92a929e3e21536ea3dd43732c5b177c7ef03f918dff9f2"},
@@ -7116,6 +7668,8 @@ version = "1.25.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "proto_plus-1.25.0-py3-none-any.whl", hash = "sha256:c91fc4a65074ade8e458e95ef8bac34d4008daa7cce4a12d6707066fca648961"},
     {file = "proto_plus-1.25.0.tar.gz", hash = "sha256:fbb17f57f7bd05a68b7707e745e26528b0b3c34e378db91eef93912c54982d91"},
@@ -7133,6 +7687,8 @@ version = "4.25.5"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "protobuf-4.25.5-cp310-abi3-win32.whl", hash = "sha256:5e61fd921603f58d2f5acb2806a929b4675f8874ff5f330b7d6f7e2e784bbcd8"},
     {file = "protobuf-4.25.5-cp310-abi3-win_amd64.whl", hash = "sha256:4be0571adcbe712b282a330c6e89eae24281344429ae95c6d85e79e84780f5ea"},
@@ -7153,6 +7709,8 @@ version = "6.1.1"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "psutil-6.1.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:9ccc4316f24409159897799b83004cb1e24f9819b0dcf9c0b68bdcb6cefee6a8"},
     {file = "psutil-6.1.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ca9609c77ea3b8481ab005da74ed894035936223422dc591d6772b147421f777"},
@@ -7183,6 +7741,8 @@ version = "1.0.2"
 description = "psycopg2 integration with coroutine libraries"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "psycogreen-1.0.2.tar.gz", hash = "sha256:c429845a8a49cf2f76b71265008760bcd7c7c77d80b806db4dc81116dbcd130d"},
 ]
@@ -7193,6 +7753,8 @@ version = "2.9.10"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "psycopg2-binary-2.9.10.tar.gz", hash = "sha256:4b3df0e6990aa98acda57d983942eff13d824135fe2250e6522edaa782a06de2"},
     {file = "psycopg2_binary-2.9.10-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:0ea8e3d0ae83564f2fc554955d327fa081d065c8ca5cc6d2abb643e2c9c1200f"},
@@ -7269,6 +7831,8 @@ version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
     {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"},
@@ -7280,6 +7844,8 @@ version = "9.0.0"
 description = "Get CPU info with pure Python"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "py-cpuinfo-9.0.0.tar.gz", hash = "sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690"},
     {file = "py_cpuinfo-9.0.0-py3-none-any.whl", hash = "sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5"},
@@ -7291,6 +7857,8 @@ version = "18.1.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyarrow-18.1.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e21488d5cfd3d8b500b3238a6c4b075efabc18f0f6d80b29239737ebd69caa6c"},
     {file = "pyarrow-18.1.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:b516dad76f258a702f7ca0250885fc93d1fa5ac13ad51258e39d402bd9e2e1e4"},
@@ -7345,6 +7913,8 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -7356,6 +7926,8 @@ version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
     {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
@@ -7370,10 +7942,12 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "tools", "vdb"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
+markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", storage = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation == \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
 [[package]]
 name = "pycryptodome"
@@ -7381,6 +7955,8 @@ version = "3.19.1"
 description = "Cryptographic library for Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pycryptodome-3.19.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:694020d2ff985cd714381b9da949a21028c24b86f562526186f6af7c7547e986"},
     {file = "pycryptodome-3.19.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:4464b0e8fd5508bff9baf18e6fd4c6548b1ac2ce9862d6965ff6a84ec9cb302a"},
@@ -7422,6 +7998,8 @@ version = "2.9.2"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
     {file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
@@ -7442,6 +8020,8 @@ version = "2.23.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
@@ -7543,6 +8123,8 @@ version = "2.9.0"
 description = "Extra Pydantic types."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_extra_types-2.9.0-py3-none-any.whl", hash = "sha256:f0bb975508572ba7bf3390b7337807588463b7248587e69f43b1ad7c797530d0"},
     {file = "pydantic_extra_types-2.9.0.tar.gz", hash = "sha256:e061c01636188743bb69f368dcd391f327b8cfbfede2fe1cbb1211b06601ba3b"},
@@ -7565,6 +8147,8 @@ version = "2.6.1"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_settings-2.6.1-py3-none-any.whl", hash = "sha256:7fb0637c786a558d3103436278a7c4f1cfd29ba8973238a50c5bb9a55387da87"},
     {file = "pydantic_settings-2.6.1.tar.gz", hash = "sha256:e0f92546d8a9923cb8941689abf85d6601a8c19a23e97a34b2964a2e3f813ca0"},
@@ -7585,6 +8169,8 @@ version = "8.0.4"
 description = "The kitchen sink of Python utility libraries for doing \"stuff\" in a functional way. Based on the Lo-Dash Javascript library."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydash-8.0.4-py3-none-any.whl", hash = "sha256:59d0c9ca0d22b4f8bcfab01bfe2e89b49f4c9e9fa75961caf156094670260999"},
     {file = "pydash-8.0.4.tar.gz", hash = "sha256:a33fb17b4b06c617da5c57c711605d2dc8723311ee5388c8371f87cd44bf4112"},
@@ -7602,6 +8188,8 @@ version = "0.25.1"
 description = "Manipulate audio with an simple and easy high level interface"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydub-0.25.1-py2.py3-none-any.whl", hash = "sha256:65617e33033874b59d87db603aa1ed450633288aefead953b30bded59cb599a6"},
     {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"},
@@ -7613,6 +8201,8 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
@@ -7627,6 +8217,8 @@ version = "2.8.0"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
     {file = "PyJWT-2.8.0.tar.gz", hash = "sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de"},
@@ -7647,6 +8239,8 @@ version = "2.5.3"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pymilvus-2.5.3-py3-none-any.whl", hash = "sha256:64ca63594284586937274800be27a402f3be2d078130bf81d94ab8d7798ac9c8"},
     {file = "pymilvus-2.5.3.tar.gz", hash = "sha256:68bc3797b7a14c494caf116cee888894ffd6eba7b96a3ac841be85d60694cc5d"},
@@ -7672,6 +8266,8 @@ version = "1.3.1"
 description = "Python SDK for mochow"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pymochow-1.3.1-py3-none-any.whl", hash = "sha256:a7f3b34fd6ea5d1d8413650bb6678365aa148fc396ae945e4ccb4f2365a52327"},
     {file = "pymochow-1.3.1.tar.gz", hash = "sha256:1693d10cd0bb7bce45327890a90adafb503155922ccc029acb257699a73a20ba"},
@@ -7688,6 +8284,8 @@ version = "1.1.1"
 description = "Pure Python MySQL Driver"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyMySQL-1.1.1-py3-none-any.whl", hash = "sha256:4de15da4c61dc132f4fb9ab763063e693d521a80fd0e87943b9a453dd4c19d6c"},
     {file = "pymysql-1.1.1.tar.gz", hash = "sha256:e127611aaf2b417403c60bf4dc570124aeb4a57f5f37b8e95ae399a42f904cd0"},
@@ -7703,6 +8301,8 @@ version = "0.1.18"
 description = "A python SDK for OceanBase Vector Store, based on SQLAlchemy, compatible with Milvus API."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyobvector-0.1.18-py3-none-any.whl", hash = "sha256:9ca4098fd58f87e9c6ff1cd4a5631c666d51d0607933dd3656b7274eacc36428"},
     {file = "pyobvector-0.1.18.tar.gz", hash = "sha256:0497764dc8f60ab2ce8b8d738b05dea946df5679e773049620da5a339091ed92"},
@@ -7720,6 +8320,8 @@ version = "24.3.0"
 description = "Python wrapper module around the OpenSSL library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyOpenSSL-24.3.0-py3-none-any.whl", hash = "sha256:e474f5a473cd7f92221cc04976e48f4d11502804657a08a989fb3be5514c904a"},
     {file = "pyopenssl-24.3.0.tar.gz", hash = "sha256:49f7a019577d834746bc55c5fce6ecbcec0f2b4ec5ce1cf43a9a173b8138bb36"},
@@ -7738,6 +8340,8 @@ version = "1.14"
 description = "Thin wrapper for pandoc."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypandoc-1.14-py3-none-any.whl", hash = "sha256:1315c7ad7fac7236dacf69a05b521ed2c3f1d0177f70e9b92bfffce6c023df22"},
     {file = "pypandoc-1.14.tar.gz", hash = "sha256:6b4c45f5f1b9fb5bb562079164806bdbbc3e837b5402bcf3f1139edc5730a197"},
@@ -7749,6 +8353,8 @@ version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
     {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
@@ -7763,6 +8369,8 @@ version = "5.1.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypdf-5.1.0-py3-none-any.whl", hash = "sha256:3bd4f503f4ebc58bae40d81e81a9176c400cbbac2ba2d877367595fb524dfdfc"},
     {file = "pypdf-5.1.0.tar.gz", hash = "sha256:425a129abb1614183fd1aca6982f650b47f8026867c0ce7c4b9f281c443d2740"},
@@ -7782,6 +8390,8 @@ version = "4.30.1"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypdfium2-4.30.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:e07c47633732cc18d890bb7e965ad28a9c5a932e548acb928596f86be2e5ae37"},
     {file = "pypdfium2-4.30.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:5ea2d44e96d361123b67b00f527017aa9c847c871b5714e013c01c3eb36a79fe"},
@@ -7804,6 +8414,8 @@ version = "0.48.9"
 description = "A SQL query builder API for Python"
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
 ]
@@ -7814,6 +8426,8 @@ version = "0.20220715.0"
 description = "Pure Python library for saving and loading PNG images"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypng-0.20220715.0-py3-none-any.whl", hash = "sha256:4a43e969b8f5aaafb2a415536c1a8ec7e341cd6a3f957fd5b5f32a4cfeed902c"},
     {file = "pypng-0.20220715.0.tar.gz", hash = "sha256:739c433ba96f078315de54c0db975aee537cbc3e1d0ae4ed9aab0ca1e427e2c1"},
@@ -7825,6 +8439,8 @@ version = "1.2.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913"},
     {file = "pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8"},
@@ -7836,6 +8452,8 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -7850,6 +8468,8 @@ version = "8.3.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"},
     {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
@@ -7870,6 +8490,8 @@ version = "4.0.0"
 description = "A ``pytest`` fixture for benchmarking code. It will group the tests into rounds that are calibrated to the chosen timer."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-benchmark-4.0.0.tar.gz", hash = "sha256:fb0785b83efe599a6a956361c0691ae1dbb5318018561af10f3e915caa0048d1"},
     {file = "pytest_benchmark-4.0.0-py3-none-any.whl", hash = "sha256:fdb7db64e31c8b277dff9850d2a2556d8b60bcb0ea6524e36e28ffd7c87f71d6"},
@@ -7890,6 +8512,8 @@ version = "1.1.5"
 description = "pytest plugin that allows you to add environment variables."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_env-1.1.5-py3-none-any.whl", hash = "sha256:ce90cf8772878515c24b31cd97c7fa1f4481cd68d588419fd45f10ecaee6bc30"},
     {file = "pytest_env-1.1.5.tar.gz", hash = "sha256:91209840aa0e43385073ac464a554ad2947cc2fd663a9debf88d03b01e0cc1cf"},
@@ -7907,6 +8531,8 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
     {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
@@ -7924,6 +8550,8 @@ version = "0.3.1"
 description = "Python binding for Rust's library for reading excel and odf file - calamine"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_calamine-0.3.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2822c39ad52f289732981cee59b4985388624b54e124e41436bb37565ed32f15"},
     {file = "python_calamine-0.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f2786751cfe4e81f9170b843741b39a325cf9f49db8d51fc3cd16d6139e0ac60"},
@@ -8036,6 +8664,8 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "dev", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -8050,6 +8680,8 @@ version = "1.1.2"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
     {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
@@ -8065,6 +8697,8 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -8079,6 +8713,8 @@ version = "2024.10.22"
 description = "ISO 639 language codes, names, and other associated information"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_iso639-2024.10.22-py3-none-any.whl", hash = "sha256:02d3ce2e01c6896b30b9cbbd3e1c8ee0d7221250b5d63ea9803e0d2a81fd1047"},
     {file = "python_iso639-2024.10.22.tar.gz", hash = "sha256:750f21b6a0bc6baa24253a3d8aae92b582bf93aa40988361cd96852c2c6d9a52"},
@@ -8093,6 +8729,8 @@ version = "0.4.27"
 description = "File type identification using libmagic"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-magic-0.4.27.tar.gz", hash = "sha256:c1ba14b08e4a5f5c31a302b7721239695b2f0f058d125bd5ce1ee36b9d9d3c3b"},
     {file = "python_magic-0.4.27-py2.py3-none-any.whl", hash = "sha256:c212960ad306f700aa0d01e5d7a325d20548ff97eb9920dcd29513174f0294d3"},
@@ -8104,6 +8742,8 @@ version = "0.0.1"
 description = "Extract attachments from Outlook .msg files."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_oxmsg-0.0.1-py3-none-any.whl", hash = "sha256:8ea7d5dda1bc161a413213da9e18ed152927c1fda2feaf5d1f02192d8ad45eea"},
     {file = "python_oxmsg-0.0.1.tar.gz", hash = "sha256:b65c1f93d688b85a9410afa824192a1ddc39da359b04a0bd2cbd3874e84d4994"},
@@ -8120,6 +8760,8 @@ version = "1.0.2"
 description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba"},
     {file = "python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095"},
@@ -8137,6 +8779,8 @@ version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"},
     {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"},
@@ -8148,6 +8792,7 @@ version = "308"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["main", "vdb"]
 files = [
     {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"},
     {file = "pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e"},
@@ -8168,6 +8813,7 @@ files = [
     {file = "pywin32-308-cp39-cp39-win32.whl", hash = "sha256:7873ca4dc60ab3287919881a7d4f88baee4a6e639aa6962de25a98ba6b193341"},
     {file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"},
 ]
+markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Windows\" or sys_platform == \"win32\")", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\""}
 
 [[package]]
 name = "pyxlsb"
@@ -8175,6 +8821,8 @@ version = "1.0.10"
 description = "Excel 2007-2010 Binary Workbook (xlsb) parser"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyxlsb-1.0.10-py2.py3-none-any.whl", hash = "sha256:87c122a9a622e35ca5e741d2e541201d28af00fb46bec492cfa9586890b120b4"},
     {file = "pyxlsb-1.0.10.tar.gz", hash = "sha256:8062d1ea8626d3f1980e8b1cfe91a4483747449242ecb61013bc2df85435f685"},
@@ -8186,6 +8834,8 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -8248,6 +8898,8 @@ version = "1.7.3"
 description = "Client library for the Qdrant vector search engine"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "qdrant_client-1.7.3-py3-none-any.whl", hash = "sha256:b062420ba55eb847652c7d2a26404fb1986bea13aa785763024013f96a7a915c"},
     {file = "qdrant_client-1.7.3.tar.gz", hash = "sha256:7b809be892cdc5137ae80ea3335da40c06499ad0b0072b5abc6bad79da1d29fc"},
@@ -8274,6 +8926,8 @@ version = "7.4.2"
 description = "QR Code image generator"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "qrcode-7.4.2-py3-none-any.whl", hash = "sha256:581dca7a029bcb2deef5d01068e39093e80ef00b4a61098a2182eac59d01643a"},
     {file = "qrcode-7.4.2.tar.gz", hash = "sha256:9dd969454827e127dbd93696b20747239e6d540e082937c90f14ac95b30f5845"},
@@ -8297,6 +8951,8 @@ version = "0.2.2"
 description = "Various BM25 algorithms for document ranking"
 optional = false
 python-versions = "*"
+groups = ["indirect"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rank_bm25-0.2.2-py3-none-any.whl", hash = "sha256:7bd4a95571adadfc271746fa146a4bcfd89c0cf731e49c3d1ad863290adbe8ae"},
     {file = "rank_bm25-0.2.2.tar.gz", hash = "sha256:096ccef76f8188563419aaf384a02f0ea459503fdf77901378d4fd9d87e5e51d"},
@@ -8314,6 +8970,8 @@ version = "3.11.0"
 description = "rapid fuzzy string matching"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rapidfuzz-3.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eb8a54543d16ab1b69e2c5ed96cabbff16db044a50eddfc028000138ca9ddf33"},
     {file = "rapidfuzz-3.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:231c8b2efbd7f8d2ecd1ae900363ba168b8870644bb8f2b5aa96e4a7573bde19"},
@@ -8414,6 +9072,8 @@ version = "0.2.0"
 description = "Python wrapper for Mozilla's Readability.js"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "readabilipy-0.2.0-py3-none-any.whl", hash = "sha256:0050853cd6ab012ac75bb4d8f06427feb7dc32054da65060da44654d049802d0"},
     {file = "readabilipy-0.2.0.tar.gz", hash = "sha256:098bf347b19f362042fb6c08864ad776588bf844ac2261fb230f7f9c250fdae5"},
@@ -8436,6 +9096,8 @@ version = "2.1.0"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "realtime-2.1.0-py3-none-any.whl", hash = "sha256:e2d4f28bb2a08c1cf80e40fbf31e6116544ad29d67dd4093093e511ad738708c"},
     {file = "realtime-2.1.0.tar.gz", hash = "sha256:ca3ae6be47667a3cf3a307fec982ec1bf60313c38a8e29f016ab0380b76d7adb"},
@@ -8453,6 +9115,8 @@ version = "5.0.8"
 description = "Python client for Redis database and key-value store"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "redis-5.0.8-py3-none-any.whl", hash = "sha256:56134ee08ea909106090934adc36f65c9bcbbaecea5b21ba704ba6fb561f8eb4"},
     {file = "redis-5.0.8.tar.gz", hash = "sha256:0c5b10d387568dfe0698c6fad6615750c24170e548ca2deac10c649d463e9870"},
@@ -8472,6 +9136,8 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -8487,6 +9153,8 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -8590,6 +9258,8 @@ version = "0.22.0"
 description = "Python client for Replicate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "replicate-0.22.0-py3-none-any.whl", hash = "sha256:a11e20e9589981a96bee6f3817494b5cc29735a108c71aff4515a81863ad9996"},
     {file = "replicate-0.22.0.tar.gz", hash = "sha256:cab48c15ede619d5aa7d023a241626d504c70ea2b7db5792ebfb5ae9fa373cbc"},
@@ -8610,6 +9280,8 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -8631,6 +9303,8 @@ version = "2.1.0"
 description = "File transport adapter for Requests"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests_file-2.1.0-py2.py3-none-any.whl", hash = "sha256:cf270de5a4c5874e84599fc5778303d496c10ae5e870bfa378818f35d21bda5c"},
     {file = "requests_file-2.1.0.tar.gz", hash = "sha256:0f549a3f3b0699415ac04d167e9cb39bccfb730cb832b4d20be3d9867356e658"},
@@ -8645,6 +9319,8 @@ version = "2.0.0"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=3.4"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
     {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
@@ -8663,6 +9339,8 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -8677,6 +9355,8 @@ version = "0.7.2"
 description = "Resend Python SDK"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "resend-0.7.2-py2.py3-none-any.whl", hash = "sha256:4f16711e11b007da7f8826283af6cdc34c99bd77c1dfad92afe9466a90d06c61"},
     {file = "resend-0.7.2.tar.gz", hash = "sha256:bb10522a5ef1235b6cc2d74902df39c4863ac12b89dc48b46dd5c6f980574622"},
@@ -8691,6 +9371,8 @@ version = "0.9.2"
 description = "Easy to use retry decorator."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "retry-0.9.2-py2.py3-none-any.whl", hash = "sha256:ccddf89761fa2c726ab29391837d4327f819ea14d244c232a1d24c67a2f98606"},
     {file = "retry-0.9.2.tar.gz", hash = "sha256:f8bfa8b99b69c4506d6f5bd3b0aabf77f98cdb17f3c9fc3f5ca820033336fba4"},
@@ -8706,6 +9388,8 @@ version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
     {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
@@ -8724,6 +9408,8 @@ version = "0.22.3"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rpds_py-0.22.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:6c7b99ca52c2c1752b544e310101b98a659b720b21db00e65edca34483259967"},
     {file = "rpds_py-0.22.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:be2eb3f2495ba669d2a985f9b426c1797b7d48d6963899276d22f23e33d47e37"},
@@ -8836,6 +9522,8 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -8850,6 +9538,8 @@ version = "0.9.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["lint"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ruff-0.9.2-py3-none-linux_armv6l.whl", hash = "sha256:80605a039ba1454d002b32139e4970becf84b5fee3a3c3bf1c2af6f61a784347"},
     {file = "ruff-0.9.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b9aab82bb20afd5f596527045c01e6ae25a718ff1784cb92947bff1f83068b00"},
@@ -8877,6 +9567,8 @@ version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"},
     {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
@@ -8894,6 +9586,8 @@ version = "0.4.5"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "indirect"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "safetensors-0.4.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a63eaccd22243c67e4f2b1c3e258b257effc4acd78f3b9d397edc8cf8f1298a7"},
     {file = "safetensors-0.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:23fc9b4ec7b602915cbb4ec1a7c1ad96d2743c322f20ab709e2c35d1b66dad27"},
@@ -9026,6 +9720,8 @@ version = "2.231.0"
 description = "Open source library for training and deploying models on Amazon SageMaker."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sagemaker-2.231.0-py3-none-any.whl", hash = "sha256:5b6d84484a58c6ac8b22af42c6c5e0ea3c5f42d719345fe6aafba42f93635000"},
     {file = "sagemaker-2.231.0.tar.gz", hash = "sha256:d49ee9c35725832dd9810708938af723201b831e82924a3a6ac1c4260a3d8239"},
@@ -9069,6 +9765,8 @@ version = "1.0.16"
 description = "An python package for sagemaker core functionalities"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sagemaker_core-1.0.16-py3-none-any.whl", hash = "sha256:603f70552c63d7a798b76749cad00a06af4b7362604a0f965d04b1c97f7a7128"},
     {file = "sagemaker_core-1.0.16.tar.gz", hash = "sha256:a5e7325bb2d5ad84e9a34fa81ea9a6d36a3b6aa0f02bf9c356a7973476951def"},
@@ -9093,6 +9791,8 @@ version = "0.7.7"
 description = "Simple data validation library"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "schema-0.7.7-py2.py3-none-any.whl", hash = "sha256:5d976a5b50f36e74e2157b47097b60002bd4d42e65425fcc9c9befadb4255dde"},
     {file = "schema-0.7.7.tar.gz", hash = "sha256:7da553abd2958a19dc2547c388cde53398b39196175a9be59ea1caf5ab0a1807"},
@@ -9104,6 +9804,8 @@ version = "1.5.2"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "scikit_learn-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:299406827fb9a4f862626d0fe6c122f5f87f8910b86fe5daa4c32dcd742139b6"},
     {file = "scikit_learn-1.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:2d4cad1119c77930b235579ad0dc25e65c917e756fe80cab96aa3b9428bd3fb0"},
@@ -9154,6 +9856,8 @@ version = "1.15.0"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "scipy-1.15.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:aeac60d3562a7bf2f35549bdfdb6b1751c50590f55ce7322b4b2fc821dc27fca"},
     {file = "scipy-1.15.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5abbdc6ede5c5fed7910cf406a948e2c0869231c0db091593a6b2fa78be77e5d"},
@@ -9211,6 +9915,8 @@ version = "1.44.1"
 description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sentry-sdk-1.44.1.tar.gz", hash = "sha256:24e6a53eeabffd2f95d952aa35ca52f0f4201d17f820ac9d3ff7244c665aaf68"},
     {file = "sentry_sdk-1.44.1-py2.py3-none-any.whl", hash = "sha256:5f75eb91d8ab6037c754a87b8501cc581b2827e923682f593bed3539ce5b3999"},
@@ -9261,6 +9967,8 @@ version = "75.7.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "setuptools-75.7.0-py3-none-any.whl", hash = "sha256:84fb203f278ebcf5cd08f97d3fb96d3fbed4b629d500b29ad60d11e00769b183"},
     {file = "setuptools-75.7.0.tar.gz", hash = "sha256:886ff7b16cd342f1d1defc16fc98c9ce3fde69e087a4e1983d7ab634e5f41f4f"},
@@ -9281,6 +9989,8 @@ version = "1.0.0"
 description = "Py3k port of sgmllib."
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sgmllib3k-1.0.0.tar.gz", hash = "sha256:7868fb1c8bfa764c1ac563d3cf369c381d1325d36124933a726f29fcdaa812e9"},
 ]
@@ -9291,6 +10001,8 @@ version = "2.0.6"
 description = "Manipulation and analysis of geometric objects"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "shapely-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29a34e068da2d321e926b5073539fd2a1d4429a2c656bd63f0bd4c8f5b236d0b"},
     {file = "shapely-2.0.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c84c3f53144febf6af909d6b581bc05e8785d57e27f35ebaa5c1ab9baba13b"},
@@ -9349,6 +10061,8 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -9360,6 +10074,8 @@ version = "1.1.0"
 description = "Simple WebSocket server and client for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "simple_websocket-1.1.0-py3-none-any.whl", hash = "sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c"},
     {file = "simple_websocket-1.1.0.tar.gz", hash = "sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"},
@@ -9378,6 +10094,8 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "dev", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -9389,6 +10107,8 @@ version = "1.0.1"
 description = "SMDebug RulesConfig"
 optional = false
 python-versions = ">=2.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smdebug_rulesconfig-1.0.1-py2.py3-none-any.whl", hash = "sha256:104da3e6931ecf879dfc687ca4bbb3bee5ea2bc27f4478e9dbb3ee3655f1ae61"},
     {file = "smdebug_rulesconfig-1.0.1.tar.gz", hash = "sha256:7a19e6eb2e6bcfefbc07e4a86ef7a88f32495001a038bf28c7d8e77ab793fcd6"},
@@ -9400,6 +10120,8 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -9411,6 +10133,8 @@ version = "1.0.0"
 description = "Sans-I/O implementation of SOCKS4, SOCKS4A, and SOCKS5."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "socksio-1.0.0-py3-none-any.whl", hash = "sha256:95dc1f15f9b34e8d7b16f06d74b8ccf48f609af32ab33c608d08761c5dcbb1f3"},
     {file = "socksio-1.0.0.tar.gz", hash = "sha256:f88beb3da5b5c38b9890469de67d0cb0f9d494b78b106ca1845f96c10b91c4ac"},
@@ -9422,6 +10146,8 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
@@ -9433,6 +10159,8 @@ version = "2.0.35"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "SQLAlchemy-2.0.35-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67219632be22f14750f0d1c70e62f204ba69d28f62fd6432ba05ab295853de9b"},
     {file = "SQLAlchemy-2.0.35-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4668bd8faf7e5b71c0319407b608f278f279668f358857dbfd10ef1954ac9f90"},
@@ -9520,6 +10248,8 @@ version = "0.5.3"
 description = "A non-validating SQL parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sqlparse-0.5.3-py3-none-any.whl", hash = "sha256:cf2196ed3418f3ba5de6af7e82c694a9fbdbfecccdfc72e281548517081f16ca"},
     {file = "sqlparse-0.5.3.tar.gz", hash = "sha256:09f67787f56a0b16ecdbde1bfc7f5d9c3371ca683cfeaa8e6ff60b4807ec9272"},
@@ -9535,6 +10265,8 @@ version = "0.41.0"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "starlette-0.41.0-py3-none-any.whl", hash = "sha256:a0193a3c413ebc9c78bff1c3546a45bb8c8bcb4a84cae8747d650a65bd37210a"},
     {file = "starlette-0.41.0.tar.gz", hash = "sha256:39cbd8768b107d68bfe1ff1672b38a2c38b49777de46d2a592841d58e3bf7c2a"},
@@ -9552,6 +10284,8 @@ version = "0.8.2"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "storage3-0.8.2-py3-none-any.whl", hash = "sha256:f2e995b18c77a2a9265d1a33047d43e4d6abb11eb3ca5067959f68281c305de3"},
     {file = "storage3-0.8.2.tar.gz", hash = "sha256:db05d3fe8fb73bd30c814c4c4749664f37a5dfc78b629e8c058ef558c2b89f5a"},
@@ -9568,6 +10302,8 @@ version = "1.7.3"
 description = "Strict, typed YAML parser"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "strictyaml-1.7.3-py3-none-any.whl", hash = "sha256:fb5c8a4edb43bebb765959e420f9b3978d7f1af88c80606c03fb420888f5d1c7"},
     {file = "strictyaml-1.7.3.tar.gz", hash = "sha256:22f854a5fcab42b5ddba8030a0e4be51ca89af0267961c8d6cfa86395586c407"},
@@ -9582,6 +10318,8 @@ version = "2.8.1"
 description = "Supabase client for Python."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "supabase-2.8.1-py3-none-any.whl", hash = "sha256:dfa8bef89b54129093521d5bba2136ff765baf67cd76d8ad0aa4984d61a7815c"},
     {file = "supabase-2.8.1.tar.gz", hash = "sha256:711c70e6acd9e2ff48ca0dc0b1bb70c01c25378cc5189ec9f5ed9655b30bc41d"},
@@ -9602,6 +10340,8 @@ version = "0.6.2"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "supafunc-0.6.2-py3-none-any.whl", hash = "sha256:101b30616b0a1ce8cf938eca1df362fa4cf1deacb0271f53ebbd674190fb0da5"},
     {file = "supafunc-0.6.2.tar.gz", hash = "sha256:c7dfa20db7182f7fe4ae436e94e05c06cd7ed98d697fed75d68c7b9792822adc"},
@@ -9616,6 +10356,8 @@ version = "1.13.3"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
     {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
@@ -9633,6 +10375,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -9647,6 +10391,8 @@ version = "3.0.0"
 description = "Traceback serialization library."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tblib-3.0.0-py3-none-any.whl", hash = "sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129"},
     {file = "tblib-3.0.0.tar.gz", hash = "sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6"},
@@ -9658,6 +10404,8 @@ version = "1.3.2"
 description = "Tencent VectorDB Python SDK"
 optional = false
 python-versions = ">=3"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tcvectordb-1.3.2-py3-none-any.whl", hash = "sha256:c4b6922d5df4cf14fcd3e61220d9374d1d53ec7270c254216ae35f8a752908f3"},
     {file = "tcvectordb-1.3.2.tar.gz", hash = "sha256:2772f5871a69744ffc7c970b321312d626078533a721de3c744059a81aab419e"},
@@ -9673,6 +10421,8 @@ version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
     {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
@@ -9688,6 +10438,8 @@ version = "3.0.1298"
 description = "Tencent Cloud Common SDK for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tencentcloud-sdk-python-common-3.0.1298.tar.gz", hash = "sha256:0f0f182410c1ceda5764ff8bcbef27aa6139caf1c5f5985d94ec731a41c8a59f"},
     {file = "tencentcloud_sdk_python_common-3.0.1298-py2.py3-none-any.whl", hash = "sha256:c80929a0ff57ebee4ceec749dc82d5f2d1105b888e55175a7e9c722afc3a5d7a"},
@@ -9702,6 +10454,8 @@ version = "3.0.1298"
 description = "Tencent Cloud Hunyuan SDK for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tencentcloud-sdk-python-hunyuan-3.0.1298.tar.gz", hash = "sha256:c3d86a577de02046d25682a3804955453555fa641082bb8765238460bded3f03"},
     {file = "tencentcloud_sdk_python_hunyuan-3.0.1298-py2.py3-none-any.whl", hash = "sha256:f01e33318b6a4152ac88c500fda77f2cda1864eeca000cdd29c41e4f92f8de65"},
@@ -9716,6 +10470,8 @@ version = "2.5.0"
 description = "ANSI color formatting for output in terminal"
 optional = false
 python-versions = ">=3.9"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
     {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
@@ -9730,6 +10486,8 @@ version = "3.5.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
     {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
@@ -9741,6 +10499,8 @@ version = "0.0.9"
 description = "A Python client for TiDB Vector"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tidb_vector-0.0.9-py3-none-any.whl", hash = "sha256:db060ee1c981326d3882d0810e0b8b57811f278668f9381168997b360c4296c2"},
     {file = "tidb_vector-0.0.9.tar.gz", hash = "sha256:e10680872532808e1bcffa7a92dd2b05bb65d63982f833edb3c6cd590dec7709"},
@@ -9758,6 +10518,8 @@ version = "0.8.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"},
     {file = "tiktoken-0.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9269348cb650726f44dd3bbb3f9110ac19a8dcc8f54949ad3ef652ca22a38e21"},
@@ -9805,6 +10567,8 @@ version = "0.3"
 description = "Very compact Japanese tokenizer"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tinysegmenter-0.3.tar.gz", hash = "sha256:ed1f6d2e806a4758a73be589754384cbadadc7e1a414c81a166fc9adf2d40c6d"},
 ]
@@ -9815,6 +10579,8 @@ version = "5.1.3"
 description = "Accurately separates a URL's subdomain, domain, and public suffix, using the Public Suffix List (PSL). By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
 optional = false
 python-versions = ">=3.9"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tldextract-5.1.3-py3-none-any.whl", hash = "sha256:78de310cc2ca018692de5ddf320f9d6bd7c5cf857d0fd4f2175f0cdf4440ea75"},
     {file = "tldextract-5.1.3.tar.gz", hash = "sha256:d43c7284c23f5dc8a42fd0fee2abede2ff74cc622674e4cb07f514ab3330c338"},
@@ -9836,6 +10602,8 @@ version = "0.15.2"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tokenizers-0.15.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012"},
     {file = "tokenizers-0.15.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee"},
@@ -9963,6 +10731,8 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -9974,6 +10744,8 @@ version = "2.7.2"
 description = "Volc TOS (Tinder Object Storage) SDK"
 optional = false
 python-versions = "*"
+groups = ["storage"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tos-2.7.2.tar.gz", hash = "sha256:3c31257716785bca7b2cac51474ff32543cda94075a7b7aff70d769c15c7b7ed"},
 ]
@@ -9991,6 +10763,8 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -10012,6 +10786,8 @@ version = "4.35.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "transformers-4.35.2-py3-none-any.whl", hash = "sha256:9dfa76f8692379544ead84d98f537be01cd1070de75c74efb13abcbc938fbe2f"},
     {file = "transformers-4.35.2.tar.gz", hash = "sha256:2d125e197d77b0cdb6c9201df9fa7e2101493272e448b9fba9341c695bee2f52"},
@@ -10080,6 +10856,8 @@ version = "9.0.5"
 description = "Twilio API client and TwiML generator"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "twilio-9.0.5-py2.py3-none-any.whl", hash = "sha256:5e09e910b9368f50f23cb3c3dd5ba77164d80a81e9d97db955cbac322deb2a4e"},
     {file = "twilio-9.0.5.tar.gz", hash = "sha256:e9b5727943584d25d618fe502f0100fc5283215f31c863f80b5c64581b4702b0"},
@@ -10097,6 +10875,8 @@ version = "0.15.1"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typer-0.15.1-py3-none-any.whl", hash = "sha256:7994fb7b8155b64d3402518560648446072864beefd44aa2dc36972a5972e847"},
     {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"},
@@ -10114,6 +10894,8 @@ version = "2024.2.0.20241221"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types_pytz-2024.2.0.20241221-py3-none-any.whl", hash = "sha256:8fc03195329c43637ed4f593663df721fef919b60a969066e22606edf0b53ad5"},
     {file = "types_pytz-2024.2.0.20241221.tar.gz", hash = "sha256:06d7cde9613e9f7504766a0554a270c369434b50e00975b3a4a0f6eed0f2c1a9"},
@@ -10125,6 +10907,8 @@ version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
     {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
@@ -10139,6 +10923,8 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "lint", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -10150,6 +10936,8 @@ version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
     {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
@@ -10165,6 +10953,8 @@ version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -10176,6 +10966,8 @@ version = "5.10.0"
 description = "Ultra fast JSON encoder and decoder for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"},
     {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"},
@@ -10263,6 +11055,8 @@ version = "0.16.12"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "unstructured-0.16.12-py3-none-any.whl", hash = "sha256:bcac29ac1b38fba4228c5a1a7721d1aa7c48220f7c1dd43b563645c56e978c49"},
     {file = "unstructured-0.16.12.tar.gz", hash = "sha256:c3133731c6edb9c2f474e62cb2b560cd0a8d578c4532ec14d8c0941e401770b0"},
@@ -10323,6 +11117,8 @@ version = "0.28.1"
 description = "Python Client SDK for Unstructured API"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "unstructured_client-0.28.1-py3-none-any.whl", hash = "sha256:0112688908f544681a67abf314e0d2023dfa120c8e5d9fa6d31390b914a06d72"},
     {file = "unstructured_client-0.28.1.tar.gz", hash = "sha256:aac11fe5dd6b8dfdbc15aad3205fe791a3834dac29bb9f499fd515643554f709"},
@@ -10347,6 +11143,8 @@ version = "0.6.0"
 description = "Serverless Vector SDK from Upstash"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "upstash_vector-0.6.0-py3-none-any.whl", hash = "sha256:d0bdad7765b8a7f5c205b7a9c81ca4b9a4cee3ee4952afc7d5ea5fb76c3f3c3c"},
     {file = "upstash_vector-0.6.0.tar.gz", hash = "sha256:a716ed4d0251362208518db8b194158a616d37d1ccbb1155f619df690599e39b"},
@@ -10361,6 +11159,8 @@ version = "4.1.1"
 description = "Implementation of RFC 6570 URI Templates"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
     {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
@@ -10372,6 +11172,8 @@ version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
     {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
@@ -10389,6 +11191,8 @@ version = "2024.7.10"
 description = "New time-based UUID formats which are suited for use as a database key"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uuid6-2024.7.10-py3-none-any.whl", hash = "sha256:93432c00ba403751f722829ad21759ff9db051dea140bf81493271e8e4dd18b7"},
     {file = "uuid6-2024.7.10.tar.gz", hash = "sha256:2d29d7f63f593caaeea0e0d0dd0ad8129c9c663b29e19bdf882e864bedf18fb0"},
@@ -10400,6 +11204,8 @@ version = "0.34.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
     {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
@@ -10425,6 +11231,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["vdb"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\" and (sys_platform != \"win32\" and sys_platform != \"cygwin\")"
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -10476,6 +11284,8 @@ version = "0.21.0"
 description = "Python Data Validation for Humans™"
 optional = false
 python-versions = ">=3.8,<4.0"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"},
     {file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"},
@@ -10487,6 +11297,8 @@ version = "0.7.5"
 description = "Generate SQL queries from natural language"
 optional = false
 python-versions = ">=3.9"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "vanna-0.7.5-py3-none-any.whl", hash = "sha256:07458c7befa49de517a8760c2d80a13147278b484c515d49a906acc88edcb835"},
     {file = "vanna-0.7.5.tar.gz", hash = "sha256:2fdffc58832898e4fc8e93c45b173424db59a22773b22ca348640161d391eacf"},
@@ -10548,6 +11360,8 @@ version = "5.1.0"
 description = "Python promises."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "vine-5.1.0-py3-none-any.whl", hash = "sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc"},
     {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
@@ -10559,6 +11373,8 @@ version = "1.0.156"
 description = "Be Compatible with the Volcengine SDK for Python, The version of package dependencies has been modified. like pycryptodome, pytz."
 optional = false
 python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "volcengine_compat-1.0.156-py3-none-any.whl", hash = "sha256:4abc149a7601ebad8fa2d28fab50c7945145cf74daecb71bca797b0bdc82c5a5"},
     {file = "volcengine_compat-1.0.156.tar.gz", hash = "sha256:e357d096828e31a202dc6047bbc5bf6fff3f54a98cd35a99ab5f965ea741a267"},
@@ -10579,6 +11395,8 @@ version = "1.0.103"
 description = "Volcengine SDK for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "volcengine-python-sdk-1.0.103.tar.gz", hash = "sha256:49fa8572802724972e1cb47a7e692b184b055f41b09099358c1a0fad1d146af5"},
 ]
@@ -10601,6 +11419,8 @@ version = "1.0.3"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "watchfiles-1.0.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:1da46bb1eefb5a37a8fb6fd52ad5d14822d67c498d99bda8754222396164ae42"},
     {file = "watchfiles-1.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2b961b86cd3973f5822826017cad7f5a75795168cb645c3a6b30c349094e02e3"},
@@ -10684,6 +11504,8 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -10695,6 +11517,8 @@ version = "3.21.0"
 description = "A python native Weaviate client"
 optional = false
 python-versions = ">=3.8"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "weaviate-client-3.21.0.tar.gz", hash = "sha256:ec94ac554883c765e94da8b2947c4f0fa4a0378ed3bbe9f3653df3a5b1745a6d"},
     {file = "weaviate_client-3.21.0-py3-none-any.whl", hash = "sha256:420444ded7106fb000f4f8b2321b5f5fa2387825aa7a303d702accf61026f9d2"},
@@ -10715,6 +11539,8 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -10726,6 +11552,8 @@ version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
     {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
@@ -10742,6 +11570,8 @@ version = "13.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.8"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f48c749857f8fb598fb890a75f540e3221d0976ed0bf879cf3c7eef34151acee"},
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c7e72ce6bda6fb9409cc1e8164dd41d7c91466fb599eb047cfda72fe758a34a7"},
@@ -10837,6 +11667,8 @@ version = "3.1.3"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
     {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
@@ -10854,6 +11686,8 @@ version = "1.4.0"
 description = "Wikipedia API for Python"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wikipedia-1.4.0.tar.gz", hash = "sha256:db0fad1829fdd441b1852306e9856398204dc0786d2996dd2e0c8bb8e26133b2"},
 ]
@@ -10868,6 +11702,8 @@ version = "1.2.0"
 description = "A small Python utility to set file creation time on Windows"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "win32_setctime-1.2.0-py3-none-any.whl", hash = "sha256:95d644c4e708aba81dc3704a116d8cbc974d70b3bdb8be1d150e36be6e9d1390"},
     {file = "win32_setctime-1.2.0.tar.gz", hash = "sha256:ae1fdf948f5640aae05c511ade119313fb6a30d7eabe25fef9764dca5873c4c0"},
@@ -10882,6 +11718,8 @@ version = "1.17.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wrapt-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a0c23b8319848426f305f9cb0c98a6e32ee68a36264f45948ccf8e7d2b941f8"},
     {file = "wrapt-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ca5f060e205f72bec57faae5bd817a1560fcfc4af03f414b08fa29106b7e2d"},
@@ -10956,6 +11794,8 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -10970,6 +11810,8 @@ version = "0.15.2"
 description = "Client for Xinference"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "xinference-client-0.15.2.tar.gz", hash = "sha256:5c2259bb133148d1cc9bd2b8ec6eb8b5bbeba7f11d6252959f4e6cd79baa53ed"},
     {file = "xinference_client-0.15.2-py3-none-any.whl", hash = "sha256:b6275adab695e75e75a33e21e0ad212488fc2d5a4d0f693d544c0e78469abbe3"},
@@ -10989,6 +11831,8 @@ version = "2.0.1"
 description = "Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "xlrd-2.0.1-py2.py3-none-any.whl", hash = "sha256:6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd"},
     {file = "xlrd-2.0.1.tar.gz", hash = "sha256:f72f148f54442c6b056bf931dbc34f986fd0c3b0b6b5a58d013c9aef274d0c88"},
@@ -11005,6 +11849,8 @@ version = "3.2.0"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
     {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
@@ -11016,6 +11862,8 @@ version = "0.14.2"
 description = "Makes working with XML feel like you are working with JSON"
 optional = false
 python-versions = ">=3.6"
+groups = ["storage", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "xmltodict-0.14.2-py2.py3-none-any.whl", hash = "sha256:20cc7d723ed729276e808f26fb6b3599f786cbc37e06c65e192ba77c40f20aac"},
     {file = "xmltodict-0.14.2.tar.gz", hash = "sha256:201e7c28bb210e374999d1dde6382923ab0ed1a8a5faeece48ab525b7810a553"},
@@ -11027,6 +11875,8 @@ version = "1.18.3"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "storage", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"},
@@ -11123,6 +11973,8 @@ version = "0.2.51"
 description = "Download market data from Yahoo! Finance API"
 optional = false
 python-versions = "*"
+groups = ["tools"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yfinance-0.2.51-py2.py3-none-any.whl", hash = "sha256:d5cc7a970bb4bb43e4deee853514cbaa3c2b070a0dee6b2861c1ab5076f21dc1"},
     {file = "yfinance-0.2.51.tar.gz", hash = "sha256:7902cc9b23699a51efa50f1cc7a965220a56beccc00d189f929b4c7c5c189a60"},
@@ -11151,6 +12003,8 @@ version = "0.6.3"
 description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
 optional = false
 python-versions = "<3.14,>=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "youtube_transcript_api-0.6.3-py3-none-any.whl", hash = "sha256:297a74c1863d9df88f6885229f33a7eda61493d73ecb13ec80e876b65423e9b4"},
     {file = "youtube_transcript_api-0.6.3.tar.gz", hash = "sha256:4d1f6451ae508390a5279f98519efb45e091bf60d3cca5ea0bb122800ab6a011"},
@@ -11166,6 +12020,8 @@ version = "2.1.5.20250106"
 description = "A SDK library for accessing big model apis from ZhipuAI"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zhipuai-2.1.5.20250106-py3-none-any.whl", hash = "sha256:ca76095f32db501e36038fc1ac4b287b88ed90c4cdd28902d3b1a9365fff879b"},
     {file = "zhipuai-2.1.5.20250106.tar.gz", hash = "sha256:45d391be336a210b360f126443f07882fa6d8184a148c46a8c7d0b7607d6d1f8"},
@@ -11184,6 +12040,8 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
@@ -11203,6 +12061,8 @@ version = "5.0"
 description = "Very basic event publishing system"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zope.event-5.0-py3-none-any.whl", hash = "sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26"},
     {file = "zope.event-5.0.tar.gz", hash = "sha256:bac440d8d9891b4068e2b5a2c5e2c9765a9df762944bda6955f96bb9b91e67cd"},
@@ -11221,6 +12081,8 @@ version = "7.2"
 description = "Interfaces for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zope.interface-7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ce290e62229964715f1011c3dbeab7a4a1e4971fd6f31324c4519464473ef9f2"},
     {file = "zope.interface-7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:05b910a5afe03256b58ab2ba6288960a2892dfeef01336dc4be6f1b9ed02ab0a"},
@@ -11275,6 +12137,8 @@ version = "0.23.0"
 description = "Zstandard bindings for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "tools", "vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"},
     {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"},
@@ -11376,12 +12240,12 @@ files = [
 ]
 
 [package.dependencies]
-cffi = {version = ">=1.11", optional = true, markers = "platform_python_implementation == \"PyPy\" or extra == \"cffi\""}
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
 
 [package.extras]
 cffi = ["cffi (>=1.11)"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "3ac10f0687162281a0cd083a52cba5508b086dd42d63dd68175209e88b249142"
+content-hash = "fdc2199389f0e4b6d81b4b7fe2c1d303b1995643fe802ad3a28b196e68c258ae"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 77b7c13f5a..12455a0e63 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -1,9 +1,10 @@
 [project]
 name = "dify-api"
 requires-python = ">=3.11,<3.13"
+dynamic = [ "dependencies" ]
 
 [build-system]
-requires = ["poetry-core"]
+requires = ["poetry-core>=2.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
diff --git a/dev/reformat b/dev/reformat
index 94a7f3e6fe..82f96b8e8f 100755
--- a/dev/reformat
+++ b/dev/reformat
@@ -9,10 +9,10 @@ if ! command -v ruff &> /dev/null || ! command -v dotenv-linter &> /dev/null; th
 fi
 
 # run ruff linter
-poetry run -C api ruff check --fix ./api
+poetry run -C api ruff check --fix ./
 
 # run ruff formatter
-poetry run -C api ruff format ./api
+poetry run -C api ruff format ./
 
 # run dotenv-linter linter
-poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
+poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
diff --git a/dev/sync-poetry b/dev/sync-poetry
index 23d5d79e90..766382da01 100755
--- a/dev/sync-poetry
+++ b/dev/sync-poetry
@@ -12,7 +12,7 @@ if [ $? -ne 0 ]; then
     # update poetry.lock
     # refreshing lockfile only without updating locked versions
     echo "poetry.lock is outdated, refreshing without updating locked versions ..."
-    poetry lock -C api --no-update
+    poetry lock -C api
 else
   echo "poetry.lock is ready."
 fi
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index c2984fe868..d24e7c181f 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -1,4 +1,4 @@
-x-shared-env: &shared-api-worker-env 
+x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:

From f91f5c7401a0e320e930225d0d39ff0ab57211bb Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Wed, 22 Jan 2025 13:39:02 +0800
Subject: [PATCH 060/217] fix(batch_create_segment_to_index_task): count
 max_position in memory. (#12929)

---
 api/models/dataset.py                         |   3 +-
 .../batch_create_segment_to_index_task.py     | 137 ++++++++++--------
 2 files changed, 78 insertions(+), 62 deletions(-)

diff --git a/api/models/dataset.py b/api/models/dataset.py
index 567f7db432..1cf3dc42fe 100644
--- a/api/models/dataset.py
+++ b/api/models/dataset.py
@@ -13,6 +13,7 @@ from typing import Any, cast
 
 from sqlalchemy import func
 from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped
 
 from configs import dify_config
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
@@ -515,7 +516,7 @@ class DocumentSegment(db.Model):  # type: ignore[name-defined]
     tenant_id = db.Column(StringUUID, nullable=False)
     dataset_id = db.Column(StringUUID, nullable=False)
     document_id = db.Column(StringUUID, nullable=False)
-    position = db.Column(db.Integer, nullable=False)
+    position: Mapped[int]
     content = db.Column(db.Text, nullable=False)
     answer = db.Column(db.Text, nullable=True)
     word_count = db.Column(db.Integer, nullable=False)
diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py
index dbef6b708e..e2d2392797 100644
--- a/api/tasks/batch_create_segment_to_index_task.py
+++ b/api/tasks/batch_create_segment_to_index_task.py
@@ -5,7 +5,8 @@ import uuid
 
 import click
 from celery import shared_task  # type: ignore
-from sqlalchemy import func
+from sqlalchemy import func, select
+from sqlalchemy.orm import Session
 
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
@@ -18,7 +19,12 @@ from services.vector_service import VectorService
 
 @shared_task(queue="dataset")
 def batch_create_segment_to_index_task(
-    job_id: str, content: list, dataset_id: str, document_id: str, tenant_id: str, user_id: str
+    job_id: str,
+    content: list,
+    dataset_id: str,
+    document_id: str,
+    tenant_id: str,
+    user_id: str,
 ):
     """
     Async batch create segment to index
@@ -37,71 +43,80 @@ def batch_create_segment_to_index_task(
     indexing_cache_key = "segment_batch_import_{}".format(job_id)
 
     try:
-        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
-        if not dataset:
-            raise ValueError("Dataset not exist.")
+        with Session(db.engine) as session:
+            dataset = session.get(Dataset, dataset_id)
+            if not dataset:
+                raise ValueError("Dataset not exist.")
 
-        dataset_document = db.session.query(Document).filter(Document.id == document_id).first()
-        if not dataset_document:
-            raise ValueError("Document not exist.")
+            dataset_document = session.get(Document, document_id)
+            if not dataset_document:
+                raise ValueError("Document not exist.")
 
-        if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != "completed":
-            raise ValueError("Document is not available.")
-        document_segments = []
-        embedding_model = None
-        if dataset.indexing_technique == "high_quality":
-            model_manager = ModelManager()
-            embedding_model = model_manager.get_model_instance(
-                tenant_id=dataset.tenant_id,
-                provider=dataset.embedding_model_provider,
-                model_type=ModelType.TEXT_EMBEDDING,
-                model=dataset.embedding_model,
+            if (
+                not dataset_document.enabled
+                or dataset_document.archived
+                or dataset_document.indexing_status != "completed"
+            ):
+                raise ValueError("Document is not available.")
+            document_segments = []
+            embedding_model = None
+            if dataset.indexing_technique == "high_quality":
+                model_manager = ModelManager()
+                embedding_model = model_manager.get_model_instance(
+                    tenant_id=dataset.tenant_id,
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model,
+                )
+            word_count_change = 0
+            segments_to_insert: list[str] = []
+            max_position_stmt = select(func.max(DocumentSegment.position)).where(
+                DocumentSegment.document_id == dataset_document.id
             )
-        word_count_change = 0
-        segments_to_insert: list[str] = []  # Explicitly type hint the list as List[str]
-        for segment in content:
-            content_str = segment["content"]
-            doc_id = str(uuid.uuid4())
-            segment_hash = helper.generate_text_hash(content_str)
-            # calc embedding use tokens
-            tokens = embedding_model.get_text_embedding_num_tokens(texts=[content_str]) if embedding_model else 0
-            max_position = (
-                db.session.query(func.max(DocumentSegment.position))
-                .filter(DocumentSegment.document_id == dataset_document.id)
-                .scalar()
-            )
-            segment_document = DocumentSegment(
-                tenant_id=tenant_id,
-                dataset_id=dataset_id,
-                document_id=document_id,
-                index_node_id=doc_id,
-                index_node_hash=segment_hash,
-                position=max_position + 1 if max_position else 1,
-                content=content_str,
-                word_count=len(content_str),
-                tokens=tokens,
-                created_by=user_id,
-                indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
-                status="completed",
-                completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
-            )
-            if dataset_document.doc_form == "qa_model":
-                segment_document.answer = segment["answer"]
-                segment_document.word_count += len(segment["answer"])
-            word_count_change += segment_document.word_count
-            db.session.add(segment_document)
-            document_segments.append(segment_document)
-            segments_to_insert.append(str(segment))  # Cast to string if needed
-        # update document word count
-        dataset_document.word_count += word_count_change
-        db.session.add(dataset_document)
-        # add index to db
-        VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form)
-        db.session.commit()
+            max_position = session.scalar(max_position_stmt) or 1
+            for segment in content:
+                content_str = segment["content"]
+                doc_id = str(uuid.uuid4())
+                segment_hash = helper.generate_text_hash(content_str)
+                # calc embedding use tokens
+                tokens = embedding_model.get_text_embedding_num_tokens(texts=[content_str]) if embedding_model else 0
+                segment_document = DocumentSegment(
+                    tenant_id=tenant_id,
+                    dataset_id=dataset_id,
+                    document_id=document_id,
+                    index_node_id=doc_id,
+                    index_node_hash=segment_hash,
+                    position=max_position,
+                    content=content_str,
+                    word_count=len(content_str),
+                    tokens=tokens,
+                    created_by=user_id,
+                    indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
+                    status="completed",
+                    completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
+                )
+                max_position += 1
+                if dataset_document.doc_form == "qa_model":
+                    segment_document.answer = segment["answer"]
+                    segment_document.word_count += len(segment["answer"])
+                word_count_change += segment_document.word_count
+                session.add(segment_document)
+                document_segments.append(segment_document)
+                segments_to_insert.append(str(segment))  # Cast to string if needed
+            # update document word count
+            dataset_document.word_count += word_count_change
+            session.add(dataset_document)
+            # add index to db
+            VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form)
+            session.commit()
+
         redis_client.setex(indexing_cache_key, 600, "completed")
         end_at = time.perf_counter()
         logging.info(
-            click.style("Segment batch created job: {} latency: {}".format(job_id, end_at - start_at), fg="green")
+            click.style(
+                "Segment batch created job: {} latency: {}".format(job_id, end_at - start_at),
+                fg="green",
+            )
         )
     except Exception as e:
         logging.exception("Segments batch created index failed")

From 8dd1873e7653eb7e53e2b8a0b8a1267bb23d4c07 Mon Sep 17 00:00:00 2001
From: zxhlyh <jasonapring2015@outlook.com>
Date: Wed, 22 Jan 2025 14:22:33 +0800
Subject: [PATCH 061/217] feat: workflow note dark theme (#12932)

---
 .../workflow/note-node/constants.ts           | 48 +++++++++----------
 .../components/workflow/note-node/index.tsx   | 12 +++--
 .../workflow/note-node/note-editor/editor.tsx |  2 +-
 .../plugins/link-editor-plugin/component.tsx  | 16 +++----
 .../note-node/note-editor/theme/theme.css     |  2 +-
 .../note-editor/toolbar/color-picker.tsx      | 20 +++++---
 .../note-node/note-editor/toolbar/command.tsx | 12 ++---
 .../note-node/note-editor/toolbar/divider.tsx |  2 +-
 .../toolbar/font-size-selector.tsx            | 10 ++--
 .../note-node/note-editor/toolbar/index.tsx   |  2 +-
 .../note-editor/toolbar/operator.tsx          | 20 ++++----
 11 files changed, 78 insertions(+), 68 deletions(-)

diff --git a/web/app/components/workflow/note-node/constants.ts b/web/app/components/workflow/note-node/constants.ts
index efd1e01b3c..223ce72e77 100644
--- a/web/app/components/workflow/note-node/constants.ts
+++ b/web/app/components/workflow/note-node/constants.ts
@@ -4,39 +4,39 @@ export const CUSTOM_NOTE_NODE = 'custom-note'
 
 export const THEME_MAP: Record<string, { outer: string; title: string; bg: string; border: string }> = {
   [NoteTheme.blue]: {
-    outer: '#2E90FA',
-    title: '#D1E9FF',
-    bg: '#EFF8FF',
-    border: '#84CAFF',
+    outer: 'border-util-colors-blue-blue-500',
+    title: 'bg-util-colors-blue-blue-100',
+    bg: 'bg-util-colors-blue-blue-50',
+    border: 'border-util-colors-blue-blue-300',
   },
   [NoteTheme.cyan]: {
-    outer: '#06AED4',
-    title: '#CFF9FE',
-    bg: '#ECFDFF',
-    border: '#67E3F9',
+    outer: 'border-util-colors-cyan-cyan-500',
+    title: 'bg-util-colors-cyan-cyan-100',
+    bg: 'bg-util-colors-cyan-cyan-50',
+    border: 'border-util-colors-cyan-cyan-300',
   },
   [NoteTheme.green]: {
-    outer: '#16B364',
-    title: '#D3F8DF',
-    bg: '#EDFCF2',
-    border: '#73E2A3',
+    outer: 'border-util-colors-green-green-500',
+    title: 'bg-util-colors-green-green-100',
+    bg: 'bg-util-colors-green-green-50',
+    border: 'border-util-colors-green-green-300',
   },
   [NoteTheme.yellow]: {
-    outer: '#EAAA08',
-    title: '#FEF7C3',
-    bg: '#FEFBE8',
-    border: '#FDE272',
+    outer: 'border-util-colors-yellow-yellow-500',
+    title: 'bg-util-colors-yellow-yellow-100',
+    bg: 'bg-util-colors-yellow-yellow-50',
+    border: 'border-util-colors-yellow-yellow-300',
   },
   [NoteTheme.pink]: {
-    outer: '#EE46BC',
-    title: '#FCE7F6',
-    bg: '#FDF2FA',
-    border: '#FAA7E0',
+    outer: 'border-util-colors-pink-pink-500',
+    title: 'bg-util-colors-pink-pink-100',
+    bg: 'bg-util-colors-pink-pink-50',
+    border: 'border-util-colors-pink-pink-300',
   },
   [NoteTheme.violet]: {
-    outer: '#875BF7',
-    title: '#ECE9FE',
-    bg: '#F5F3FF',
-    border: '#C3B5FD',
+    outer: 'border-util-colors-violet-violet-500',
+    title: 'bg-util-colors-violet-violet-100',
+    bg: 'bg-util-colors-violet-violet-100',
+    border: 'border-util-colors-violet-violet-300',
   },
 }
diff --git a/web/app/components/workflow/note-node/index.tsx b/web/app/components/workflow/note-node/index.tsx
index 6d62b452e4..e1691bd08c 100644
--- a/web/app/components/workflow/note-node/index.tsx
+++ b/web/app/components/workflow/note-node/index.tsx
@@ -62,10 +62,10 @@ const NoteNode = ({
     <div
       className={cn(
         'flex flex-col relative rounded-md shadow-xs border hover:shadow-md',
+        THEME_MAP[theme].bg,
+        data.selected ? THEME_MAP[theme].border : 'border-black/5',
       )}
       style={{
-        background: THEME_MAP[theme].bg,
-        borderColor: data.selected ? THEME_MAP[theme].border : 'rgba(0, 0, 0, 0.05)',
         width: data.width,
         height: data.height,
       }}
@@ -83,7 +83,11 @@ const NoteNode = ({
             minWidth={240}
             minHeight={88}
           />
-          <div className='shrink-0 h-2 opacity-50 rounded-t-md' style={{ background: THEME_MAP[theme].title }}></div>
+          <div
+            className={cn(
+              'shrink-0 h-2 opacity-50 rounded-t-md',
+              THEME_MAP[theme].title,
+            )}></div>
           {
             data.selected && (
               <div className='absolute -top-[41px] left-1/2 -translate-x-1/2'>
@@ -112,7 +116,7 @@ const NoteNode = ({
           </div>
           {
             data.showAuthor && (
-              <div className='p-3 pt-0 text-xs text-black/[0.32]'>
+              <div className='p-3 pt-0 text-xs text-text-tertiary'>
                 {data.author}
               </div>
             )
diff --git a/web/app/components/workflow/note-node/note-editor/editor.tsx b/web/app/components/workflow/note-node/note-editor/editor.tsx
index a065278722..2ab133557e 100644
--- a/web/app/components/workflow/note-node/note-editor/editor.tsx
+++ b/web/app/components/workflow/note-node/note-editor/editor.tsx
@@ -44,7 +44,7 @@ const Editor = ({
               onFocus={() => setShortcutsEnabled(false)}
               onBlur={() => setShortcutsEnabled(true)}
               spellCheck={false}
-              className='w-full h-full outline-none caret-primary-600'
+              className='w-full h-full outline-none text-text-secondary caret-primary-600'
               placeholder={placeholder}
             />
           </div>
diff --git a/web/app/components/workflow/note-node/note-editor/plugins/link-editor-plugin/component.tsx b/web/app/components/workflow/note-node/note-editor/plugins/link-editor-plugin/component.tsx
index c9f4562941..1bc8885933 100644
--- a/web/app/components/workflow/note-node/note-editor/plugins/link-editor-plugin/component.tsx
+++ b/web/app/components/workflow/note-node/note-editor/plugins/link-editor-plugin/component.tsx
@@ -69,9 +69,9 @@ const LinkEditorComponent = ({
           <FloatingPortal root={containerElement}>
             <div
               className={cn(
-                'nodrag nopan inline-flex items-center w-max rounded-md border-[0.5px] border-black/5 bg-white z-10',
+                'nodrag nopan inline-flex items-center w-max rounded-md border-[0.5px] border-components-actionbar-border bg-components-actionbar-bg z-10',
                 !linkOperatorShow && 'p-1 shadow-md',
-                linkOperatorShow && 'p-0.5 shadow-sm text-xs text-gray-500 font-medium',
+                linkOperatorShow && 'p-0.5 shadow-sm system-xs-medium text-text-tertiary',
               )}
               style={floatingStyles}
               ref={refs.setFloating}
@@ -80,7 +80,7 @@ const LinkEditorComponent = ({
                 !linkOperatorShow && (
                   <>
                     <input
-                      className='mr-0.5 p-1 w-[196px] h-6 rounded-sm text-[13px] appearance-none outline-none'
+                      className='mr-0.5 p-1 w-[196px] h-6 rounded-sm text-[13px] appearance-none outline-none bg-transparent text-components-input-text-filled'
                       value={url}
                       onChange={e => setUrl(e.target.value)}
                       placeholder={t('workflow.nodes.note.editor.enterUrl') || ''}
@@ -101,7 +101,7 @@ const LinkEditorComponent = ({
                 linkOperatorShow && (
                   <>
                     <a
-                      className='flex items-center px-2 h-6 rounded-md hover:bg-gray-50'
+                      className='flex items-center px-2 h-6 rounded-md hover:bg-state-base-hover'
                       href={escape(url)}
                       target='_blank'
                       rel='noreferrer'
@@ -112,14 +112,14 @@ const LinkEditorComponent = ({
                       </div>
                       <div
                         title={escape(url)}
-                        className='text-primary-600 max-w-[140px] truncate'
+                        className='text-text-accent max-w-[140px] truncate'
                       >
                         {escape(url)}
                       </div>
                     </a>
-                    <div className='mx-1 w-[1px] h-3.5 bg-gray-100'></div>
+                    <div className='mx-1 w-[1px] h-3.5 bg-divider-regular'></div>
                     <div
-                      className='flex items-center mr-0.5 px-2 h-6 rounded-md cursor-pointer hover:bg-gray-50'
+                      className='flex items-center mr-0.5 px-2 h-6 rounded-md cursor-pointer hover:bg-state-base-hover'
                       onClick={(e) => {
                         e.stopPropagation()
                         setLinkOperatorShow(false)
@@ -129,7 +129,7 @@ const LinkEditorComponent = ({
                       {t('common.operation.edit')}
                     </div>
                     <div
-                      className='flex items-center px-2 h-6 rounded-md cursor-pointer hover:bg-gray-50'
+                      className='flex items-center px-2 h-6 rounded-md cursor-pointer hover:bg-state-base-hover'
                       onClick={handleUnlink}
                     >
                       <RiLinkUnlinkM className='mr-1 w-3 h-3' />
diff --git a/web/app/components/workflow/note-node/note-editor/theme/theme.css b/web/app/components/workflow/note-node/note-editor/theme/theme.css
index a256bc3199..25c0cdeaad 100644
--- a/web/app/components/workflow/note-node/note-editor/theme/theme.css
+++ b/web/app/components/workflow/note-node/note-editor/theme/theme.css
@@ -16,7 +16,7 @@
 
 .note-editor-theme_link {
   cursor: pointer;
-  color: #155eef;
+  color: var(--text-text-selected);
 }
 
 .note-editor-theme_link:hover {
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/color-picker.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/color-picker.tsx
index 75565e7d4f..8da85ae548 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/color-picker.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/color-picker.tsx
@@ -67,13 +67,15 @@ const ColorPicker = ({
           open && 'bg-black/5',
         )}>
           <div
-            className='w-4 h-4 rounded-full border border-black/5'
-            style={{ backgroundColor: THEME_MAP[theme].title }}
+            className={cn(
+              'w-4 h-4 rounded-full border border-black/5',
+              THEME_MAP[theme].title,
+            )}
           ></div>
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent>
-        <div className='grid grid-cols-3 grid-rows-2 gap-0.5 p-0.5 rounded-lg border-[0.5px] border-black/8 bg-white shadow-lg'>
+        <div className='grid grid-cols-3 grid-rows-2 gap-0.5 p-0.5 rounded-lg border-[0.5px] border-components-actionbar-border bg-components-actionbar-bg shadow-lg'>
           {
             COLOR_LIST.map(color => (
               <div
@@ -86,12 +88,16 @@ const ColorPicker = ({
                 }}
               >
                 <div
-                  className='hidden group-hover:block absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-5 h-5 rounded-full border-[1.5px]'
-                  style={{ borderColor: color.outer }}
+                  className={cn(
+                    'hidden group-hover:block absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-5 h-5 rounded-full border-[1.5px]',
+                    color.outer,
+                  )}
                 ></div>
                 <div
-                  className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-4 h-4 rounded-full border border-black/5'
-                  style={{ backgroundColor: color.inner }}
+                  className={cn(
+                    'absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-4 h-4 rounded-full border border-black/5',
+                    color.inner,
+                  )}
                 ></div>
               </div>
             ))
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/command.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/command.tsx
index ad9a62a5ec..43953cfe95 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/command.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/command.tsx
@@ -65,12 +65,12 @@ const Command = ({
     >
       <div
         className={cn(
-          'flex items-center justify-center w-8 h-8 cursor-pointer rounded-md text-gray-500 hover:text-gray-800 hover:bg-black/5',
-          type === 'bold' && selectedIsBold && 'bg-primary-50',
-          type === 'italic' && selectedIsItalic && 'bg-primary-50',
-          type === 'strikethrough' && selectedIsStrikeThrough && 'bg-primary-50',
-          type === 'link' && selectedIsLink && 'bg-primary-50',
-          type === 'bullet' && selectedIsBullet && 'bg-primary-50',
+          'flex items-center justify-center w-8 h-8 cursor-pointer rounded-md text-text-tertiary hover:text-text-accent hover:bg-state-accent-active',
+          type === 'bold' && selectedIsBold && 'bg-state-accent-active',
+          type === 'italic' && selectedIsItalic && 'bg-state-accent-active',
+          type === 'strikethrough' && selectedIsStrikeThrough && 'bg-state-accent-active',
+          type === 'link' && selectedIsLink && 'bg-state-accent-active',
+          type === 'bullet' && selectedIsBullet && 'bg-state-accent-active',
         )}
         onClick={() => handleCommand(type)}
       >
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/divider.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/divider.tsx
index aefdb46b0a..740aa63c48 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/divider.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/divider.tsx
@@ -1,6 +1,6 @@
 const Divider = () => {
   return (
-    <div className='mx-1 w-[1px] h-3.5 bg-gray-200'></div>
+    <div className='mx-1 w-[1px] h-3.5 bg-divider-regular'></div>
   )
 }
 
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/font-size-selector.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/font-size-selector.tsx
index 38cff5361f..6ceccdebbe 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/font-size-selector.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/font-size-selector.tsx
@@ -42,20 +42,20 @@ const FontSizeSelector = () => {
     >
       <PortalToFollowElemTrigger onClick={() => handleOpenFontSizeSelector(!fontSizeSelectorShow)}>
         <div className={cn(
-          'flex items-center pl-2 pr-1.5 h-8 rounded-md text-[13px] font-medium text-gray-700 cursor-pointer hover:bg-gray-50',
-          fontSizeSelectorShow && 'bg-gray-50',
+          'flex items-center pl-2 pr-1.5 h-8 rounded-md text-[13px] font-medium text-text-tertiary hover:text-text-secondary cursor-pointer hover:bg-state-base-hover',
+          fontSizeSelectorShow && 'bg-state-base-hover text-text-secondary',
         )}>
           <RiFontSize className='mr-1 w-4 h-4' />
           {FONT_SIZE_LIST.find(font => font.key === fontSize)?.value || t('workflow.nodes.note.editor.small')}
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent>
-        <div className='p-1 w-[120px] bg-white border-[0.5px] border-gray-200 rounded-md shadow-xl text-gray-700'>
+        <div className='p-1 w-[120px] bg-components-panel-bg-blur border-[0.5px] border-components-panel-border rounded-md shadow-xl text-text-secondary'>
           {
             FONT_SIZE_LIST.map(font => (
               <div
                 key={font.key}
-                className='flex items-center justify-between pl-3 pr-2 h-8 rounded-md cursor-pointer hover:bg-gray-50'
+                className='flex items-center justify-between pl-3 pr-2 h-8 rounded-md cursor-pointer hover:bg-state-base-hover'
                 onClick={(e) => {
                   e.stopPropagation()
                   handleFontSize(font.key)
@@ -69,7 +69,7 @@ const FontSizeSelector = () => {
                 </div>
                 {
                   fontSize === font.key && (
-                    <Check className='w-4 h-4 text-primary-500' />
+                    <Check className='w-4 h-4 text-text-accent' />
                   )
                 }
               </div>
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/index.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/index.tsx
index 98ee0cdf0e..d9e327ae0c 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/index.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/index.tsx
@@ -18,7 +18,7 @@ const Toolbar = ({
   onShowAuthorChange,
 }: ToolbarProps) => {
   return (
-    <div className='inline-flex items-center p-0.5 bg-white rounded-lg border-[0.5px] border-black/5 shadow-sm'>
+    <div className='inline-flex items-center p-0.5 bg-components-actionbar-bg rounded-lg border-[0.5px] border-components-actionbar-border shadow-sm'>
       <ColorPicker
         theme={theme}
         onThemeChange={onThemeChange}
diff --git a/web/app/components/workflow/note-node/note-editor/toolbar/operator.tsx b/web/app/components/workflow/note-node/note-editor/toolbar/operator.tsx
index f22d699935..4439b006cd 100644
--- a/web/app/components/workflow/note-node/note-editor/toolbar/operator.tsx
+++ b/web/app/components/workflow/note-node/note-editor/toolbar/operator.tsx
@@ -40,18 +40,18 @@ const Operator = ({
       <PortalToFollowElemTrigger onClick={() => setOpen(!open)}>
         <div
           className={cn(
-            'flex items-center justify-center w-8 h-8 cursor-pointer rounded-lg hover:bg-black/5',
-            open && 'bg-black/5',
+            'flex items-center justify-center w-8 h-8 cursor-pointer rounded-lg text-text-tertiary hover:text-text-secondary hover:bg-state-base-hover',
+            open && 'bg-state-base-hover text-text-secondary',
           )}
         >
-          <RiMoreFill className='w-4 h-4 text-gray-500' />
+          <RiMoreFill className='w-4 h-4' />
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent>
-        <div className='min-w-[192px] bg-white rounded-md border-[0.5px] border-gray-200 shadow-xl'>
+        <div className='min-w-[192px] bg-components-panel-bg-blur rounded-md border-[0.5px] border-components-panel-border shadow-xl'>
           <div className='p-1'>
             <div
-              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-gray-700 hover:bg-black/5'
+              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-text-secondary hover:bg-state-base-hover'
               onClick={() => {
                 onCopy()
                 setOpen(false)
@@ -61,7 +61,7 @@ const Operator = ({
               <ShortcutsName keys={['ctrl', 'c']} />
             </div>
             <div
-              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-gray-700 hover:bg-black/5'
+              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-text-secondary hover:bg-state-base-hover'
               onClick={() => {
                 onDuplicate()
                 setOpen(false)
@@ -71,10 +71,10 @@ const Operator = ({
               <ShortcutsName keys={['ctrl', 'd']} />
             </div>
           </div>
-          <div className='h-[1px] bg-gray-100'></div>
+          <div className='h-[1px] bg-divider-subtle'></div>
           <div className='p-1'>
             <div
-              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-gray-700 hover:bg-black/5'
+              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-text-secondary hover:bg-state-base-hover'
               onClick={e => e.stopPropagation()}
             >
               <div>{t('workflow.nodes.note.editor.showAuthor')}</div>
@@ -85,10 +85,10 @@ const Operator = ({
               />
             </div>
           </div>
-          <div className='h-[1px] bg-gray-100'></div>
+          <div className='h-[1px] bg-divider-subtle'></div>
           <div className='p-1'>
             <div
-              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-gray-700 hover:text-[#D92D20] hover:bg-[#FEF3F2]'
+              className='flex items-center justify-between px-3 h-8 cursor-pointer rounded-md text-sm text-text-secondary hover:text-text-destructive hover:bg-state-destructive-hover'
               onClick={() => {
                 onDelete()
                 setOpen(false)

From 71fa14f7915ce39bb2f8b51d6aac993b602a1c8a Mon Sep 17 00:00:00 2001
From: le0zh <newlight@qq.com>
Date: Wed, 22 Jan 2025 15:18:23 +0800
Subject: [PATCH 062/217] fix: resolve clipboard.writeText failure under HTTP
 protocol (#12936)

---
 web/app/components/develop/code.tsx |  3 ++-
 web/utils/clipboard.ts              | 35 +++++++++++++++++++++++++++++
 2 files changed, 37 insertions(+), 1 deletion(-)
 create mode 100644 web/utils/clipboard.ts

diff --git a/web/app/components/develop/code.tsx b/web/app/components/develop/code.tsx
index c1fbaa1cf8..7716cd4c93 100644
--- a/web/app/components/develop/code.tsx
+++ b/web/app/components/develop/code.tsx
@@ -10,6 +10,7 @@ import {
 import { Tab } from '@headlessui/react'
 import { Tag } from './tag'
 import classNames from '@/utils/classnames'
+import { writeTextToClipboard } from '@/utils/clipboard'
 
 const languageNames = {
   js: 'JavaScript',
@@ -71,7 +72,7 @@ function CopyButton({ code }: { code: string }) {
           : 'bg-white/5 hover:bg-white/7.5 dark:bg-white/2.5 dark:hover:bg-white/5',
       )}
       onClick={() => {
-        window.navigator.clipboard.writeText(code).then(() => {
+        writeTextToClipboard(code).then(() => {
           setCopyCount(count => count + 1)
         })
       }}
diff --git a/web/utils/clipboard.ts b/web/utils/clipboard.ts
new file mode 100644
index 0000000000..8e7a4495b3
--- /dev/null
+++ b/web/utils/clipboard.ts
@@ -0,0 +1,35 @@
+export async function writeTextToClipboard(text: string): Promise<void> {
+  if (navigator.clipboard && navigator.clipboard.writeText)
+    return navigator.clipboard.writeText(text)
+
+  return fallbackCopyTextToClipboard(text)
+}
+
+async function fallbackCopyTextToClipboard(text: string): Promise<void> {
+  const textArea = document.createElement('textarea')
+  textArea.value = text
+  textArea.style.position = 'fixed' // Avoid scrolling to bottom
+  document.body.appendChild(textArea)
+  textArea.focus()
+  textArea.select()
+  try {
+    const successful = document.execCommand('copy')
+    if (successful)
+      return Promise.resolve()
+
+    return Promise.reject(new Error('document.execCommand failed'))
+  }
+  catch (err) {
+    return Promise.reject(convertAnyToError(err))
+  }
+  finally {
+    document.body.removeChild(textArea)
+  }
+}
+
+function convertAnyToError(err: any): Error {
+  if (err instanceof Error)
+    return err
+
+  return new Error(`Caught: ${String(err)}`)
+}

From d167d5b1be67d0c32e808fc975d2dd1007a21f45 Mon Sep 17 00:00:00 2001
From: sino <sino2322@gmail.com>
Date: Wed, 22 Jan 2025 15:25:57 +0800
Subject: [PATCH 063/217] feat(ark): support doubao 1.5 series of models
 (#12935)

---
 .../volcengine_maas/llm/models.py             | 57 +++++++++++++------
 .../volcengine_maas/volcengine_maas.yaml      | 24 ++++++++
 2 files changed, 63 insertions(+), 18 deletions(-)

diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
index 7c37368086..94315cd026 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
@@ -18,72 +18,93 @@ class ModelConfig(BaseModel):
 
 
 configs: dict[str, ModelConfig] = {
+    "Doubao-1.5-vision-pro-32k": ModelConfig(
+        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
+    ),
+    "Doubao-1.5-pro-32k": ModelConfig(
+        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
+    "Doubao-1.5-lite-32k": ModelConfig(
+        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
+    "Doubao-1.5-pro-256k": ModelConfig(
+        properties=ModelProperties(context_size=262144, max_tokens=12288, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
     "Doubao-vision-pro-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.VISION],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
     ),
     "Doubao-vision-lite-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.VISION],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
     ),
     "Doubao-pro-4k": ModelConfig(
         properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Doubao-lite-4k": ModelConfig(
         properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Doubao-pro-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Doubao-lite-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Doubao-pro-256k": ModelConfig(
         properties=ModelProperties(context_size=262144, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[],
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
     "Doubao-pro-128k": ModelConfig(
         properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Doubao-lite-128k": ModelConfig(
-        properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT), features=[]
+        properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
     "Skylark2-pro-4k": ModelConfig(
-        properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), features=[]
+        properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
     "Llama3-8B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT), features=[]
+        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
     "Llama3-70B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT), features=[]
+        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
     "Moonshot-v1-8k": ModelConfig(
         properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Moonshot-v1-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=16384, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Moonshot-v1-128k": ModelConfig(
         properties=ModelProperties(context_size=131072, max_tokens=65536, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "GLM3-130B": ModelConfig(
         properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "GLM3-130B-Fin": ModelConfig(
         properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.TOOL_CALL],
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
     ),
     "Mistral-7B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=2048, mode=LLMMode.CHAT), features=[]
+        properties=ModelProperties(context_size=8192, max_tokens=2048, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
     ),
 }
 
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
index 2ddb612546..976cd26ac9 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
+++ b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
@@ -118,6 +118,30 @@ model_credential_schema:
       type: select
       required: true
       options:
+        - label:
+            en_US: Doubao-1.5-vision-pro-32k
+          value: Doubao-1.5-vision-pro-32k
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: Doubao-1.5-pro-32k
+          value: Doubao-1.5-pro-32k
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: Doubao-1.5-lite-32k
+          value: Doubao-1.5-lite-32k
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: Doubao-1.5-pro-256k
+          value: Doubao-1.5-pro-256k
+          show_on:
+            - variable: __model_type
+              value: llm
         - label:
             en_US: Doubao-vision-pro-32k
           value: Doubao-vision-pro-32k

From 1e73f63ff8b6181963244cf72f3841ab70de11a4 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Wed, 22 Jan 2025 16:40:44 +0800
Subject: [PATCH 064/217] chore: update version to 0.15.2 in packaging and
 docker configurations (#12940)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/configs/packaging/__init__.py   | 2 +-
 docker-legacy/docker-compose.yaml   | 6 +++---
 docker/docker-compose-template.yaml | 6 +++---
 docker/docker-compose.yaml          | 6 +++---
 web/package.json                    | 2 +-
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py
index a54c5bf5ee..20c1f58c99 100644
--- a/api/configs/packaging/__init__.py
+++ b/api/configs/packaging/__init__.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.1",
+        default="0.15.2",
     )
 
     COMMIT_SHA: str = Field(
diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml
index 6e4c8a748e..d2b6689453 100644
--- a/docker-legacy/docker-compose.yaml
+++ b/docker-legacy/docker-compose.yaml
@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       # Startup mode, 'api' starts the API server.
@@ -227,7 +227,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.15.2
     restart: always
     environment:
       # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index d24e7c181f..8aafc61888 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -25,7 +25,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -47,7 +47,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.15.2
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 21e72a4cd6..a11ec261f3 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -393,7 +393,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -416,7 +416,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.15.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -438,7 +438,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.15.2
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/web/package.json b/web/package.json
index 879b87c596..6ae11d71b4 100644
--- a/web/package.json
+++ b/web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "dify-web",
-  "version": "0.15.1",
+  "version": "0.15.2",
   "private": true,
   "engines": {
     "node": ">=18.17.0"

From 4c3076f2a474fd66233a1a0f9fe0331423aea546 Mon Sep 17 00:00:00 2001
From: huangzhuo1949 <167434202+huangzhuo1949@users.noreply.github.com>
Date: Wed, 22 Jan 2025 17:07:18 +0800
Subject: [PATCH 065/217] feat: add pg vector index (#12338)

Co-authored-by: huangzhuo <huangzhuo1@xiaomi.com>
---
 api/core/rag/datasource/vdb/pgvector/pgvector.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py
index de443ba580..c8a1e4f90c 100644
--- a/api/core/rag/datasource/vdb/pgvector/pgvector.py
+++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py
@@ -57,6 +57,11 @@ CREATE TABLE IF NOT EXISTS {table_name} (
 ) using heap;
 """
 
+SQL_CREATE_INDEX = """
+CREATE INDEX IF NOT EXISTS embedding_cosine_v1_idx ON {table_name} 
+USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64);
+"""
+
 
 class PGVector(BaseVector):
     def __init__(self, collection_name: str, config: PGVectorConfig):
@@ -205,7 +210,10 @@ class PGVector(BaseVector):
             with self._get_cursor() as cur:
                 cur.execute("CREATE EXTENSION IF NOT EXISTS vector")
                 cur.execute(SQL_CREATE_TABLE.format(table_name=self.table_name, dimension=dimension))
-                # TODO: create index https://github.com/pgvector/pgvector?tab=readme-ov-file#indexing
+                # PG hnsw index only support 2000 dimension or less
+                # ref: https://github.com/pgvector/pgvector?tab=readme-ov-file#indexing
+                if dimension <= 2000:
+                    cur.execute(SQL_CREATE_INDEX.format(table_name=self.table_name))
             redis_client.set(collection_exist_cache_key, 1, ex=3600)
 
 

From dd0904f95c97dab8404f71e06212ee182db9c554 Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Wed, 22 Jan 2025 19:26:25 +0800
Subject: [PATCH 066/217] feat: add giteeAI risk control identification.
 (#12946)

---
 .../builtin/gitee_ai/tools/risk-control.py    | 26 +++++++++++++++
 .../builtin/gitee_ai/tools/risk-control.yaml  | 32 +++++++++++++++++++
 2 files changed, 58 insertions(+)
 create mode 100644 api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py
 create mode 100644 api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml

diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py
new file mode 100644
index 0000000000..e3558ce699
--- /dev/null
+++ b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py
@@ -0,0 +1,26 @@
+from typing import Any, Union
+
+import requests
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+
+class GiteeAIToolRiskControl(BuiltinTool):
+    def _invoke(
+        self, user_id: str, tool_parameters: dict[str, Any]
+    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        headers = {
+            "content-type": "application/json",
+            "authorization": f"Bearer {self.runtime.credentials['api_key']}",
+        }
+
+        inputs = [{"type": "text", "text": tool_parameters.get("input-text")}]
+        model = tool_parameters.get("model", "Security-semantic-filtering")
+        payload = {"model": model, "input": inputs}
+        url = "https://ai.gitee.com/v1/moderations"
+        response = requests.post(url, json=payload, headers=headers)
+        if response.status_code != 200:
+            return self.create_text_message(f"Got Error Response:{response.text}")
+
+        return [self.create_text_message(response.content.decode("utf-8"))]
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml
new file mode 100644
index 0000000000..6e7229dc1c
--- /dev/null
+++ b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml
@@ -0,0 +1,32 @@
+identity:
+  name: risk control
+  author: gitee_ai
+  label:
+    en_US: risk control identification
+    zh_Hans: 风控识别
+  icon: icon.svg
+description:
+  human:
+    en_US: Ensuring the protection and compliance of sensitive information through the filtering and analysis of data semantics
+    zh_Hans: 通过对数据语义的过滤和分析，确保敏感信息的保护和合规性
+  llm: This tool is used to risk control identification.
+parameters:
+  - name: model
+    type: string
+    required: true
+    default: Security-semantic-filtering
+    label:
+      en_US: Service Model
+      zh_Hans: 服务模型
+    form: form
+  - name: input-text
+    type: string
+    required: true
+    label:
+      en_US: Input Text
+      zh_Hans: 输入文本
+    human_description:
+      en_US: The text input for filtering and analysis.
+      zh_Hans: 用于分析过滤的文本
+    llm_description: The text input for filtering and analysis.
+    form: llm

From fd4afe09f877255d672ab20113471e52acc73fe1 Mon Sep 17 00:00:00 2001
From: Jhvcc <37662342+Jhvcc@users.noreply.github.com>
Date: Wed, 22 Jan 2025 19:27:02 +0800
Subject: [PATCH 067/217] fix: tools translate search (#12950)

Co-authored-by: lowell <lowell.hu@zkteco.in>
---
 web/app/components/tools/provider-list.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/tools/provider-list.tsx b/web/app/components/tools/provider-list.tsx
index 6f17835589..73c7363641 100644
--- a/web/app/components/tools/provider-list.tsx
+++ b/web/app/components/tools/provider-list.tsx
@@ -46,7 +46,7 @@ const ProviderList = () => {
       if (tagFilterValue.length > 0 && (!collection.labels || collection.labels.every(label => !tagFilterValue.includes(label))))
         return false
       if (keywords)
-        return collection.name.toLowerCase().includes(keywords.toLowerCase())
+        return Object.values(collection.label).some(value => value.toLowerCase().includes(keywords.toLowerCase()))
       return true
     })
   }, [activeTab, tagFilterValue, keywords, collectionList])

From f565f08aa0793eaa75adbf9392d1ecd68dc53bfc Mon Sep 17 00:00:00 2001
From: Joel <iamjoel007@gmail.com>
Date: Thu, 23 Jan 2025 11:02:29 +0800
Subject: [PATCH 068/217] fix: get property of string type variable caused page
 crash (#12969)

---
 .../workflow/nodes/_base/components/variable/utils.ts         | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/web/app/components/workflow/nodes/_base/components/variable/utils.ts b/web/app/components/workflow/nodes/_base/components/variable/utils.ts
index 715ad1c7b1..24c2b73fed 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/utils.ts
+++ b/web/app/components/workflow/nodes/_base/components/variable/utils.ts
@@ -546,7 +546,9 @@ export const getVarType = ({
   else {
     (valueSelector as ValueSelector).slice(1).forEach((key, i) => {
       const isLast = i === valueSelector.length - 2
-      curr = curr?.find((v: any) => v.variable === key)
+      if (Array.isArray(curr))
+        curr = curr?.find((v: any) => v.variable === key)
+
       if (isLast) {
         type = curr?.type
       }

From 6024d8a42d1a39d3e0d6b81df806e3d624839519 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Adem=C3=ADlson=20Tonato?= <ademilsonft@outlook.com>
Date: Thu, 23 Jan 2025 03:14:48 +0000
Subject: [PATCH 069/217] refactor: Update Firecrawl to use v1 API (#12574)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: Ademílson Tonato <ademilson.tonato@refurbed.com>
---
 .../rag/extractor/firecrawl/firecrawl_app.py  | 105 +++++++++---------
 api/services/auth/firecrawl/firecrawl.py      |   8 +-
 api/services/website_service.py               |  30 ++---
 .../rag/extractor/firecrawl/test_firecrawl.py |  19 ++--
 4 files changed, 81 insertions(+), 81 deletions(-)

diff --git a/api/core/rag/extractor/firecrawl/firecrawl_app.py b/api/core/rag/extractor/firecrawl/firecrawl_app.py
index eac08aeb8b..836a1398bf 100644
--- a/api/core/rag/extractor/firecrawl/firecrawl_app.py
+++ b/api/core/rag/extractor/firecrawl/firecrawl_app.py
@@ -1,6 +1,6 @@
 import json
 import time
-from typing import cast
+from typing import Any, cast
 
 import requests
 
@@ -14,48 +14,47 @@ class FirecrawlApp:
         if self.api_key is None and self.base_url == "https://api.firecrawl.dev":
             raise ValueError("No API key provided")
 
-    def scrape_url(self, url, params=None) -> dict:
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
-        json_data = {"url": url}
+    def scrape_url(self, url, params=None) -> dict[str, Any]:
+        # Documentation: https://docs.firecrawl.dev/api-reference/endpoint/scrape
+        headers = self._prepare_headers()
+        json_data = {
+            "url": url,
+            "formats": ["markdown"],
+            "onlyMainContent": True,
+            "timeout": 30000,
+        }
         if params:
             json_data.update(params)
-        response = requests.post(f"{self.base_url}/v0/scrape", headers=headers, json=json_data)
+        response = self._post_request(f"{self.base_url}/v1/scrape", json_data, headers)
         if response.status_code == 200:
             response_data = response.json()
-            if response_data["success"] == True:
-                data = response_data["data"]
-                return {
-                    "title": data.get("metadata").get("title"),
-                    "description": data.get("metadata").get("description"),
-                    "source_url": data.get("metadata").get("sourceURL"),
-                    "markdown": data.get("markdown"),
-                }
-            else:
-                raise Exception(f"Failed to scrape URL. Error: {response_data['error']}")
-
-        elif response.status_code in {402, 409, 500}:
-            error_message = response.json().get("error", "Unknown error occurred")
-            raise Exception(f"Failed to scrape URL. Status code: {response.status_code}. Error: {error_message}")
+            data = response_data["data"]
+            return self._extract_common_fields(data)
+        elif response.status_code in {402, 409, 500, 429, 408}:
+            self._handle_error(response, "scrape URL")
+            return {}  # Avoid additional exception after handling error
         else:
             raise Exception(f"Failed to scrape URL. Status code: {response.status_code}")
 
     def crawl_url(self, url, params=None) -> str:
+        # Documentation: https://docs.firecrawl.dev/api-reference/endpoint/crawl-post
         headers = self._prepare_headers()
         json_data = {"url": url}
         if params:
             json_data.update(params)
-        response = self._post_request(f"{self.base_url}/v0/crawl", json_data, headers)
+        response = self._post_request(f"{self.base_url}/v1/crawl", json_data, headers)
         if response.status_code == 200:
-            job_id = response.json().get("jobId")
+            # There's also another two fields in the response: "success" (bool) and "url" (str)
+            job_id = response.json().get("id")
             return cast(str, job_id)
         else:
             self._handle_error(response, "start crawl job")
             # FIXME: unreachable code for mypy
             return ""  # unreachable
 
-    def check_crawl_status(self, job_id) -> dict:
+    def check_crawl_status(self, job_id) -> dict[str, Any]:
         headers = self._prepare_headers()
-        response = self._get_request(f"{self.base_url}/v0/crawl/status/{job_id}", headers)
+        response = self._get_request(f"{self.base_url}/v1/crawl/{job_id}", headers)
         if response.status_code == 200:
             crawl_status_response = response.json()
             if crawl_status_response.get("status") == "completed":
@@ -66,42 +65,48 @@ class FirecrawlApp:
                 url_data_list = []
                 for item in data:
                     if isinstance(item, dict) and "metadata" in item and "markdown" in item:
-                        url_data = {
-                            "title": item.get("metadata", {}).get("title"),
-                            "description": item.get("metadata", {}).get("description"),
-                            "source_url": item.get("metadata", {}).get("sourceURL"),
-                            "markdown": item.get("markdown"),
-                        }
+                        url_data = self._extract_common_fields(item)
                         url_data_list.append(url_data)
                 if url_data_list:
                     file_key = "website_files/" + job_id + ".txt"
-                    if storage.exists(file_key):
-                        storage.delete(file_key)
-                    storage.save(file_key, json.dumps(url_data_list).encode("utf-8"))
-                return {
-                    "status": "completed",
-                    "total": crawl_status_response.get("total"),
-                    "current": crawl_status_response.get("current"),
-                    "data": url_data_list,
-                }
-
+                    try:
+                        if storage.exists(file_key):
+                            storage.delete(file_key)
+                        storage.save(file_key, json.dumps(url_data_list).encode("utf-8"))
+                    except Exception as e:
+                        raise Exception(f"Error saving crawl data: {e}")
+                return self._format_crawl_status_response("completed", crawl_status_response, url_data_list)
             else:
-                return {
-                    "status": crawl_status_response.get("status"),
-                    "total": crawl_status_response.get("total"),
-                    "current": crawl_status_response.get("current"),
-                    "data": [],
-                }
-
+                return self._format_crawl_status_response(
+                    crawl_status_response.get("status"), crawl_status_response, []
+                )
         else:
             self._handle_error(response, "check crawl status")
             # FIXME: unreachable code for mypy
             return {}  # unreachable
 
-    def _prepare_headers(self):
+    def _format_crawl_status_response(
+        self, status: str, crawl_status_response: dict[str, Any], url_data_list: list[dict[str, Any]]
+    ) -> dict[str, Any]:
+        return {
+            "status": status,
+            "total": crawl_status_response.get("total"),
+            "current": crawl_status_response.get("completed"),
+            "data": url_data_list,
+        }
+
+    def _extract_common_fields(self, item: dict[str, Any]) -> dict[str, Any]:
+        return {
+            "title": item.get("metadata", {}).get("title"),
+            "description": item.get("metadata", {}).get("description"),
+            "source_url": item.get("metadata", {}).get("sourceURL"),
+            "markdown": item.get("markdown"),
+        }
+
+    def _prepare_headers(self) -> dict[str, Any]:
         return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
 
-    def _post_request(self, url, data, headers, retries=3, backoff_factor=0.5):
+    def _post_request(self, url, data, headers, retries=3, backoff_factor=0.5) -> requests.Response:
         for attempt in range(retries):
             response = requests.post(url, headers=headers, json=data)
             if response.status_code == 502:
@@ -110,7 +115,7 @@ class FirecrawlApp:
                 return response
         return response
 
-    def _get_request(self, url, headers, retries=3, backoff_factor=0.5):
+    def _get_request(self, url, headers, retries=3, backoff_factor=0.5) -> requests.Response:
         for attempt in range(retries):
             response = requests.get(url, headers=headers)
             if response.status_code == 502:
@@ -119,6 +124,6 @@ class FirecrawlApp:
                 return response
         return response
 
-    def _handle_error(self, response, action):
+    def _handle_error(self, response, action) -> None:
         error_message = response.json().get("error", "Unknown error occurred")
         raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}")
diff --git a/api/services/auth/firecrawl/firecrawl.py b/api/services/auth/firecrawl/firecrawl.py
index 50e4edff14..cc6eaaa42a 100644
--- a/api/services/auth/firecrawl/firecrawl.py
+++ b/api/services/auth/firecrawl/firecrawl.py
@@ -21,10 +21,12 @@ class FirecrawlAuth(ApiKeyAuthBase):
         headers = self._prepare_headers()
         options = {
             "url": "https://example.com",
-            "crawlerOptions": {"excludes": [], "includes": [], "limit": 1},
-            "pageOptions": {"onlyMainContent": True},
+            "excludes": [],
+            "includes": [],
+            "limit": 1,
+            "scrapeOptions": {"onlyMainContent": True},
         }
-        response = self._post_request(f"{self.base_url}/v0/crawl", options, headers)
+        response = self._post_request(f"{self.base_url}/v1/crawl", options, headers)
         if response.status_code == 200:
             return True
         else:
diff --git a/api/services/website_service.py b/api/services/website_service.py
index 1ad7d0399d..b30e2205f7 100644
--- a/api/services/website_service.py
+++ b/api/services/website_service.py
@@ -38,30 +38,24 @@ class WebsiteService:
             only_main_content = options.get("only_main_content", False)
             if not crawl_sub_pages:
                 params = {
-                    "crawlerOptions": {
-                        "includes": [],
-                        "excludes": [],
-                        "generateImgAltText": True,
-                        "limit": 1,
-                        "returnOnlyUrls": False,
-                        "pageOptions": {"onlyMainContent": only_main_content, "includeHtml": False},
-                    }
+                    "includes": [],
+                    "excludes": [],
+                    "generateImgAltText": True,
+                    "limit": 1,
+                    "scrapeOptions": {"onlyMainContent": only_main_content},
                 }
             else:
                 includes = options.get("includes").split(",") if options.get("includes") else []
                 excludes = options.get("excludes").split(",") if options.get("excludes") else []
                 params = {
-                    "crawlerOptions": {
-                        "includes": includes,
-                        "excludes": excludes,
-                        "generateImgAltText": True,
-                        "limit": options.get("limit", 1),
-                        "returnOnlyUrls": False,
-                        "pageOptions": {"onlyMainContent": only_main_content, "includeHtml": False},
-                    }
+                    "includes": includes,
+                    "excludes": excludes,
+                    "generateImgAltText": True,
+                    "limit": options.get("limit", 1),
+                    "scrapeOptions": {"onlyMainContent": only_main_content},
                 }
                 if options.get("max_depth"):
-                    params["crawlerOptions"]["maxDepth"] = options.get("max_depth")
+                    params["maxDepth"] = options.get("max_depth")
             job_id = firecrawl_app.crawl_url(url, params)
             website_crawl_time_cache_key = f"website_crawl_{job_id}"
             time = str(datetime.datetime.now().timestamp())
@@ -228,7 +222,7 @@ class WebsiteService:
             # decrypt api_key
             api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key"))
             firecrawl_app = FirecrawlApp(api_key=api_key, base_url=credentials.get("config").get("base_url", None))
-            params = {"pageOptions": {"onlyMainContent": only_main_content, "includeHtml": False}}
+            params = {"onlyMainContent": only_main_content}
             result = firecrawl_app.scrape_url(url, params)
             return result
         else:
diff --git a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
index 8fcdf2e8e5..120ca9c8ea 100644
--- a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
+++ b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
@@ -10,19 +10,18 @@ def test_firecrawl_web_extractor_crawl_mode(mocker):
     base_url = "https://api.firecrawl.dev"
     firecrawl_app = FirecrawlApp(api_key=api_key, base_url=base_url)
     params = {
-        "crawlerOptions": {
-            "includes": [],
-            "excludes": [],
-            "generateImgAltText": True,
-            "maxDepth": 1,
-            "limit": 1,
-            "returnOnlyUrls": False,
-        }
+        "includes": [],
+        "excludes": [],
+        "generateImgAltText": True,
+        "maxDepth": 1,
+        "limit": 1,
     }
     mocked_firecrawl = {
-        "jobId": "test",
+        "id": "test",
     }
     mocker.patch("requests.post", return_value=_mock_response(mocked_firecrawl))
     job_id = firecrawl_app.crawl_url(url, params)
-    print(job_id)
+    print(f"job_id: {job_id}")
+
+    assert job_id is not None
     assert isinstance(job_id, str)

From e54ce479ad21905e423ce091bf8d83391c1a54d9 Mon Sep 17 00:00:00 2001
From: zxhlyh <jasonapring2015@outlook.com>
Date: Thu, 23 Jan 2025 16:20:00 +0800
Subject: [PATCH 070/217] Feat/prompt editor dark theme (#12976)

---
 .../components/base/prompt-editor/index.tsx   |  2 +-
 .../plugins/component-picker-block/hooks.tsx  | 10 ++++-----
 .../plugins/component-picker-block/index.tsx  |  6 +++---
 .../component-picker-block/prompt-option.tsx  |  8 +++----
 .../variable-option.tsx                       |  8 +++----
 .../prompt-editor/plugins/placeholder.tsx     |  2 +-
 .../plugins/variable-value-block/node.tsx     |  2 +-
 .../workflow-variable-block/component.tsx     | 21 ++++++++++++-------
 8 files changed, 32 insertions(+), 27 deletions(-)

diff --git a/web/app/components/base/prompt-editor/index.tsx b/web/app/components/base/prompt-editor/index.tsx
index 4a718527b8..b09109ef3f 100644
--- a/web/app/components/base/prompt-editor/index.tsx
+++ b/web/app/components/base/prompt-editor/index.tsx
@@ -149,7 +149,7 @@ const PromptEditor: FC<PromptEditorProps> = ({
     <LexicalComposer initialConfig={{ ...initialConfig, editable }}>
       <div className='relative min-h-5'>
         <RichTextPlugin
-          contentEditable={<ContentEditable className={`${className} outline-none ${compact ? 'leading-5 text-[13px]' : 'leading-6 text-sm'} text-gray-700`} style={style || {}} />}
+          contentEditable={<ContentEditable className={`${className} outline-none ${compact ? 'leading-5 text-[13px]' : 'leading-6 text-sm'} text-text-secondary`} style={style || {}} />}
           placeholder={<Placeholder value={placeholder} className={cn('truncate', placeholderClassName)} compact={compact} />}
           ErrorBoundary={LexicalErrorBoundary}
         />
diff --git a/web/app/components/base/prompt-editor/plugins/component-picker-block/hooks.tsx b/web/app/components/base/prompt-editor/plugins/component-picker-block/hooks.tsx
index b14bf8112b..f39d56f72b 100644
--- a/web/app/components/base/prompt-editor/plugins/component-picker-block/hooks.tsx
+++ b/web/app/components/base/prompt-editor/plugins/component-picker-block/hooks.tsx
@@ -133,7 +133,7 @@ export const useVariableOptions = (
           return (
             <VariableMenuItem
               title={item.value}
-              icon={<BracketsX className='w-[14px] h-[14px] text-[#2970FF]' />}
+              icon={<BracketsX className='w-[14px] h-[14px] text-text-accent' />}
               queryString={queryString}
               isSelected={isSelected}
               onClick={onSelect}
@@ -162,7 +162,7 @@ export const useVariableOptions = (
         return (
           <VariableMenuItem
             title={t('common.promptEditor.variable.modal.add')}
-            icon={<BracketsX className='mr-2 w-[14px] h-[14px] text-[#2970FF]' />}
+            icon={<BracketsX className='w-[14px] h-[14px] text-text-accent' />}
             queryString={queryString}
             isSelected={isSelected}
             onClick={onSelect}
@@ -211,7 +211,7 @@ export const useExternalToolOptions = (
                   background={item.icon_background}
                 />
               }
-              extraElement={<div className='text-xs text-gray-400'>{item.variableName}</div>}
+              extraElement={<div className='text-xs text-text-tertiary'>{item.variableName}</div>}
               queryString={queryString}
               isSelected={isSelected}
               onClick={onSelect}
@@ -240,8 +240,8 @@ export const useExternalToolOptions = (
         return (
           <VariableMenuItem
             title={t('common.promptEditor.variable.modal.addTool')}
-            icon={<Tool03 className='mr-2 w-[14px] h-[14px] text-[#444CE7]' />}
-            extraElement={< ArrowUpRight className='w-3 h-3 text-gray-400' />}
+            icon={<Tool03 className='w-[14px] h-[14px] text-text-accent' />}
+            extraElement={< ArrowUpRight className='w-3 h-3 text-text-tertiary' />}
             queryString={queryString}
             isSelected={isSelected}
             onClick={onSelect}
diff --git a/web/app/components/base/prompt-editor/plugins/component-picker-block/index.tsx b/web/app/components/base/prompt-editor/plugins/component-picker-block/index.tsx
index a5cb39f383..752458278b 100644
--- a/web/app/components/base/prompt-editor/plugins/component-picker-block/index.tsx
+++ b/web/app/components/base/prompt-editor/plugins/component-picker-block/index.tsx
@@ -135,7 +135,7 @@ const ComponentPicker = ({
             // See https://github.com/facebook/lexical/blob/ac97dfa9e14a73ea2d6934ff566282d7f758e8bb/packages/lexical-react/src/shared/LexicalMenu.ts#L493
             <div className='w-0 h-0'>
               <div
-                className='p-1 w-[260px] bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg'
+                className='p-1 w-[260px] bg-components-panel-bg-blur rounded-lg border-[0.5px] border-components-panel-border shadow-lg'
                 style={{
                   ...floatingStyles,
                   visibility: isPositioned ? 'visible' : 'hidden',
@@ -148,7 +148,7 @@ const ComponentPicker = ({
                       {
                         // Divider
                         index !== 0 && options.at(index - 1)?.group !== option.group && (
-                          <div className='h-px bg-gray-100 my-1 w-full -translate-x-1'></div>
+                          <div className='h-px bg-divider-subtle my-1 w-full -translate-x-1'></div>
                         )
                       }
                       {option.renderMenuOption({
@@ -169,7 +169,7 @@ const ComponentPicker = ({
                     <>
                       {
                         (!!options.length) && (
-                          <div className='h-px bg-gray-100 my-1 w-full -translate-x-1'></div>
+                          <div className='h-px bg-divider-subtle my-1 w-full -translate-x-1'></div>
                         )
                       }
                       <div className='p-1'>
diff --git a/web/app/components/base/prompt-editor/plugins/component-picker-block/prompt-option.tsx b/web/app/components/base/prompt-editor/plugins/component-picker-block/prompt-option.tsx
index 7aabbe4b26..985e195848 100644
--- a/web/app/components/base/prompt-editor/plugins/component-picker-block/prompt-option.tsx
+++ b/web/app/components/base/prompt-editor/plugins/component-picker-block/prompt-option.tsx
@@ -21,9 +21,9 @@ export const PromptMenuItem = memo(({
   return (
     <div
       className={`
-        flex items-center px-3 h-6 cursor-pointer hover:bg-gray-50 rounded-md
-        ${isSelected && !disabled && '!bg-gray-50'}
-        ${disabled ? 'cursor-not-allowed opacity-30' : 'hover:bg-gray-50 cursor-pointer'}
+        flex items-center px-3 h-6 cursor-pointer hover:bg-state-base-hover rounded-md
+        ${isSelected && !disabled && '!bg-state-base-hover'}
+        ${disabled ? 'cursor-not-allowed opacity-30' : 'hover:bg-state-base-hover cursor-pointer'}
       `}
       tabIndex={-1}
       ref={setRefElement}
@@ -38,7 +38,7 @@ export const PromptMenuItem = memo(({
         onClick()
       }}>
       {icon}
-      <div className='ml-1 text-[13px] text-gray-900'>{title}</div>
+      <div className='ml-1 text-[13px] text-text-secondary'>{title}</div>
     </div>
   )
 })
diff --git a/web/app/components/base/prompt-editor/plugins/component-picker-block/variable-option.tsx b/web/app/components/base/prompt-editor/plugins/component-picker-block/variable-option.tsx
index 27a88ab665..ae0cdfb44b 100644
--- a/web/app/components/base/prompt-editor/plugins/component-picker-block/variable-option.tsx
+++ b/web/app/components/base/prompt-editor/plugins/component-picker-block/variable-option.tsx
@@ -38,8 +38,8 @@ export const VariableMenuItem = memo(({
   return (
     <div
       className={`
-        flex items-center px-3 h-6 rounded-md hover:bg-primary-50 cursor-pointer
-        ${isSelected && 'bg-primary-50'}
+        flex items-center px-3 h-6 rounded-md hover:bg-state-base-hover cursor-pointer
+        ${isSelected && 'bg-state-base-hover'}
       `}
       tabIndex={-1}
       ref={setRefElement}
@@ -48,9 +48,9 @@ export const VariableMenuItem = memo(({
       <div className='mr-2'>
         {icon}
       </div>
-      <div className='grow text-[13px] text-gray-900 truncate' title={title}>
+      <div className='grow text-[13px] text-text-secondary truncate' title={title}>
         {before}
-        <span className='text-[#2970FF]'>{middle}</span>
+        <span className='text-text-accent'>{middle}</span>
         {after}
       </div>
       {extraElement}
diff --git a/web/app/components/base/prompt-editor/plugins/placeholder.tsx b/web/app/components/base/prompt-editor/plugins/placeholder.tsx
index f5a45faa77..2ad87917d2 100644
--- a/web/app/components/base/prompt-editor/plugins/placeholder.tsx
+++ b/web/app/components/base/prompt-editor/plugins/placeholder.tsx
@@ -16,7 +16,7 @@ const Placeholder = ({
   return (
     <div className={cn(
       className,
-      'absolute top-0 left-0 h-full w-full text-sm text-gray-300 select-none pointer-events-none',
+      'absolute top-0 left-0 h-full w-full text-sm text-components-input-text-placeholder select-none pointer-events-none',
       compact ? 'leading-5 text-[13px]' : 'leading-6 text-sm',
     )}>
       {value || t('common.promptEditor.placeholder')}
diff --git a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
index 163d4bfac4..9dd76fc1fa 100644
--- a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
+++ b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
@@ -24,7 +24,7 @@ export class VariableValueBlockNode extends TextNode {
 
   createDOM(config: EditorConfig): HTMLElement {
     const element = super.createDOM(config)
-    element.classList.add('inline-flex', 'items-center', 'px-0.5', 'h-[22px]', 'text-[#155EEF]', 'rounded-[5px]', 'align-middle')
+    element.classList.add('inline-flex', 'items-center', 'px-0.5', 'h-[22px]', 'text-text-accent', 'rounded-[5px]', 'align-middle')
     return element
   }
 
diff --git a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx
index 0073ac300b..fc6e589807 100644
--- a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx
+++ b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/component.tsx
@@ -77,8 +77,8 @@ const WorkflowVariableBlockComponent = ({
     <div
       className={cn(
         'mx-0.5 relative group/wrap flex items-center h-[18px] pl-0.5 pr-[3px] rounded-[5px] border select-none',
-        isSelected ? ' border-[#84ADFF] bg-[#F5F8FF]' : ' border-black/5 bg-white',
-        !node && !isEnv && !isChatVar && '!border-[#F04438] !bg-[#FEF3F2]',
+        isSelected ? ' border-state-accent-solid bg-state-accent-hover' : ' border-components-panel-border-subtle bg-components-badge-white-to-dark',
+        !node && !isEnv && !isChatVar && '!border-state-destructive-solid !bg-state-destructive-hover',
       )}
       ref={ref}
     >
@@ -88,25 +88,30 @@ const WorkflowVariableBlockComponent = ({
             node?.type && (
               <div className='p-[1px]'>
                 <VarBlockIcon
-                  className='!text-gray-500'
+                  className='!text-text-secondary'
                   type={node?.type}
                 />
               </div>
             )
           }
-          <div className='shrink-0 mx-0.5 max-w-[60px] text-xs font-medium text-gray-500 truncate' title={node?.title} style={{
+          <div className='shrink-0 mx-0.5 max-w-[60px] text-xs font-medium text-text-secondary truncate' title={node?.title} style={{
           }}>{node?.title}</div>
-          <Line3 className='mr-0.5 text-gray-300'></Line3>
+          <Line3 className='mr-0.5 text-divider-deep'></Line3>
         </div>
       )}
-      <div className='flex items-center text-primary-600'>
+      <div className='flex items-center text-text-accent'>
         {!isEnv && !isChatVar && <Variable02 className={cn('shrink-0 w-3.5 h-3.5', isException && 'text-text-warning')} />}
         {isEnv && <Env className='shrink-0 w-3.5 h-3.5 text-util-colors-violet-violet-600' />}
         {isChatVar && <BubbleX className='w-3.5 h-3.5 text-util-colors-teal-teal-700' />}
-        <div className={cn('shrink-0 ml-0.5 text-xs font-medium truncate', (isEnv || isChatVar) && 'text-gray-900', isException && 'text-text-warning')} title={varName}>{varName}</div>
+        <div className={cn(
+          'shrink-0 ml-0.5 text-xs font-medium truncate',
+          isEnv && 'text-util-colors-violet-violet-600',
+          isChatVar && 'text-util-colors-teal-teal-700',
+          isException && 'text-text-warning',
+        )} title={varName}>{varName}</div>
         {
           !node && !isEnv && !isChatVar && (
-            <RiErrorWarningFill className='ml-0.5 w-3 h-3 text-[#D92D20]' />
+            <RiErrorWarningFill className='ml-0.5 w-3 h-3 text-text-destructive' />
           )
         }
       </div>

From da67916843249390ee75438207042b215e752183 Mon Sep 17 00:00:00 2001
From: lowell <37662342+Jhvcc@users.noreply.github.com>
Date: Fri, 24 Jan 2025 10:04:46 +0800
Subject: [PATCH 071/217] feat: add glm-4-air-0111 (#12997)

Co-authored-by: lowell <lowell.hu@zkteco.in>
---
 .../zhipuai/llm/glm-4-air-0111.yaml           | 66 +++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air-0111.yaml

diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air-0111.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air-0111.yaml
new file mode 100644
index 0000000000..8d301fc69d
--- /dev/null
+++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air-0111.yaml
@@ -0,0 +1,66 @@
+model: glm-4-air-0111
+label:
+  en_US: glm-4-air-0111
+model_type: llm
+features:
+  - multi-tool-call
+  - agent-thought
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.95
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: top_p
+    use_template: top_p
+    default: 0.7
+    help:
+      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
+      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
+  - name: do_sample
+    label:
+      zh_Hans: 采样策略
+      en_US: Sampling strategy
+    type: boolean
+    help:
+      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
+      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
+    default: true
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 4095
+  - name: web_search
+    type: boolean
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    default: false
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.0005'
+  output: '0.0005'
+  unit: '0.001'
+  currency: RMB

From 28067640b55cebf17ca3f3abe9b0e79c6a4b046d Mon Sep 17 00:00:00 2001
From: "IWAI, Masaharu" <iwaim.sub@gmail.com>
Date: Fri, 24 Jan 2025 14:41:20 +0900
Subject: [PATCH 072/217] fix: wrong zh_Hans translation: Ohio (#13006)

---
 api/core/model_runtime/model_providers/bedrock/bedrock.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
index 99013a95d2..0d28d02cca 100644
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
+++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
@@ -54,7 +54,7 @@ provider_credential_schema:
         - value: us-east-2
           label:
             en_US: US East (Ohio)
-            zh_Hans: 美国东部 (弗吉尼亚北部)
+            zh_Hans: 美国东部 (俄亥俄)
         - value: us-west-2
           label:
             en_US: US West (Oregon)

From a2b9adb3a20ec17dcd025a4c90477c26a476a859 Mon Sep 17 00:00:00 2001
From: "Yueh-Po Peng (Yabi)" <94939112+y10ab1@users.noreply.github.com>
Date: Fri, 24 Jan 2025 13:48:21 +0800
Subject: [PATCH 073/217] Change typo in translation (#13004)

---
 web/i18n/zh-Hant/workflow.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/i18n/zh-Hant/workflow.ts b/web/i18n/zh-Hant/workflow.ts
index 54599d23ff..1bfc258317 100644
--- a/web/i18n/zh-Hant/workflow.ts
+++ b/web/i18n/zh-Hant/workflow.ts
@@ -335,7 +335,7 @@ const translation = {
         retryFailed: '重試失敗',
         retryFailedTimes: '{{times}} 次重試失敗',
         times: '次',
-        ms: '女士',
+        ms: '毫秒',
         retries: '{{num}}重試',
       },
     },

From a2f8bce8f5cee9d450b6350da9b565940e30b9c7 Mon Sep 17 00:00:00 2001
From: "IWAI, Masaharu" <iwaim.sub@gmail.com>
Date: Fri, 24 Jan 2025 19:43:33 +0900
Subject: [PATCH 074/217] chore: add Japanese translation:
 model_providers/bedrock (#13016)

---
 .../model_providers/bedrock/bedrock.yaml         | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
index 0d28d02cca..63d6640348 100644
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
+++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
@@ -44,6 +44,7 @@ provider_credential_schema:
       label:
         en_US: AWS Region
         zh_Hans: AWS 地区
+        ja_JP: AWS リージョン
       type: select
       default: us-east-1
       options:
@@ -51,62 +52,77 @@ provider_credential_schema:
           label:
             en_US: US East (N. Virginia)
             zh_Hans: 美国东部 (弗吉尼亚北部)
+            ja_JP: 米国 (バージニア北部)
         - value: us-east-2
           label:
             en_US: US East (Ohio)
             zh_Hans: 美国东部 (俄亥俄)
+            ja_JP: 米国 (オハイオ)
         - value: us-west-2
           label:
             en_US: US West (Oregon)
             zh_Hans: 美国西部 (俄勒冈州)
+            ja_JP: 米国 (オレゴン)
         - value: ap-south-1
           label:
             en_US: Asia Pacific (Mumbai)
             zh_Hans: 亚太地区（孟买）
+            ja_JP: アジアパシフィック (ムンバイ)
         - value: ap-southeast-1
           label:
             en_US: Asia Pacific (Singapore)
             zh_Hans: 亚太地区 (新加坡)
+            ja_JP: アジアパシフィック (シンガポール)
         - value: ap-southeast-2
           label:
             en_US: Asia Pacific (Sydney)
             zh_Hans: 亚太地区 (悉尼)
+            ja_JP: アジアパシフィック (シドニー)
         - value: ap-northeast-1
           label:
             en_US: Asia Pacific (Tokyo)
             zh_Hans: 亚太地区 (东京)
+            ja_JP: アジアパシフィック (東京)
         - value: ap-northeast-2
           label:
             en_US: Asia Pacific (Seoul)
             zh_Hans: 亚太地区（首尔）
+            ja_JP: アジアパシフィック (ソウル)
         - value: ca-central-1
           label:
             en_US: Canada (Central)
             zh_Hans: 加拿大（中部）
+            ja_JP: カナダ (中部)
         - value: eu-central-1
           label:
             en_US: Europe (Frankfurt)
             zh_Hans: 欧洲 (法兰克福)
+            ja_JP: 欧州 (フランクフルト)
         - value: eu-west-1
           label:
             en_US: Europe (Ireland)
             zh_Hans: 欧洲（爱尔兰）
+            ja_JP: 欧州 (アイルランド)
         - value: eu-west-2
           label:
             en_US: Europe (London)
             zh_Hans: 欧洲西部 (伦敦)
+            ja_JP: 欧州 (ロンドン)
         - value: eu-west-3
           label:
             en_US: Europe (Paris)
             zh_Hans: 欧洲（巴黎）
+            ja_JP: 欧州 (パリ)
         - value: sa-east-1
           label:
             en_US: South America (São Paulo)
             zh_Hans: 南美洲（圣保罗）
+            ja_JP: 南米 (サンパウロ)
         - value: us-gov-west-1
           label:
             en_US: AWS GovCloud (US-West)
             zh_Hans: AWS GovCloud (US-West)
+            ja_JP: AWS GovCloud (米国西部)
     - variable: model_for_validation
       required: false
       label:

From 59b3e672aa5fab4effedf72296a9e6ec7facb02d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= <hjlarry@163.com>
Date: Fri, 24 Jan 2025 20:13:42 +0800
Subject: [PATCH 075/217] feat: add agent thinking content display of deepseek
 R1 (#12949)

---
 .../model_providers/deepseek/llm/llm.py       | 210 +++++++++++++++++-
 1 file changed, 209 insertions(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/deepseek/llm/llm.py b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
index 610dc7b458..b280856c05 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/llm.py
+++ b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
@@ -1,10 +1,13 @@
+import json
 from collections.abc import Generator
 from typing import Optional, Union
 
+import requests
 from yarl import URL
 
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
 from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
     PromptMessage,
     PromptMessageTool,
 )
@@ -36,3 +39,208 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         credentials["mode"] = LLMMode.CHAT.value
         credentials["function_calling_type"] = "tool_call"
         credentials["stream_function_calling"] = "support"
+
+    def _handle_generate_stream_response(
+        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
+    ) -> Generator:
+        """
+        Handle llm stream response
+
+        :param model: model name
+        :param credentials: model credentials
+        :param response: streamed response
+        :param prompt_messages: prompt messages
+        :return: llm response chunk generator
+        """
+        full_assistant_content = ""
+        chunk_index = 0
+        is_reasoning_started = False  # Add flag to track reasoning state
+
+        def create_final_llm_result_chunk(
+            id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
+        ) -> LLMResultChunk:
+            # calculate num tokens
+            prompt_tokens = usage and usage.get("prompt_tokens")
+            if prompt_tokens is None:
+                prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
+            completion_tokens = usage and usage.get("completion_tokens")
+            if completion_tokens is None:
+                completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
+
+            # transform usage
+            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
+
+            return LLMResultChunk(
+                id=id,
+                model=model,
+                prompt_messages=prompt_messages,
+                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
+            )
+
+        # delimiter for stream response, need unicode_escape
+        import codecs
+
+        delimiter = credentials.get("stream_mode_delimiter", "\n\n")
+        delimiter = codecs.decode(delimiter, "unicode_escape")
+
+        tools_calls: list[AssistantPromptMessage.ToolCall] = []
+
+        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
+            def get_tool_call(tool_call_id: str):
+                if not tool_call_id:
+                    return tools_calls[-1]
+
+                tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
+                if tool_call is None:
+                    tool_call = AssistantPromptMessage.ToolCall(
+                        id=tool_call_id,
+                        type="function",
+                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
+                    )
+                    tools_calls.append(tool_call)
+
+                return tool_call
+
+            for new_tool_call in new_tool_calls:
+                # get tool call
+                tool_call = get_tool_call(new_tool_call.function.name)
+                # update tool call
+                if new_tool_call.id:
+                    tool_call.id = new_tool_call.id
+                if new_tool_call.type:
+                    tool_call.type = new_tool_call.type
+                if new_tool_call.function.name:
+                    tool_call.function.name = new_tool_call.function.name
+                if new_tool_call.function.arguments:
+                    tool_call.function.arguments += new_tool_call.function.arguments
+
+        finish_reason = None  # The default value of finish_reason is None
+        message_id, usage = None, None
+        for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
+            chunk = chunk.strip()
+            if chunk:
+                # ignore sse comments
+                if chunk.startswith(":"):
+                    continue
+                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
+                if decoded_chunk == "[DONE]":  # Some provider returns "data: [DONE]"
+                    continue
+
+                try:
+                    chunk_json: dict = json.loads(decoded_chunk)
+                # stream ended
+                except json.JSONDecodeError as e:
+                    yield create_final_llm_result_chunk(
+                        id=message_id,
+                        index=chunk_index + 1,
+                        message=AssistantPromptMessage(content=""),
+                        finish_reason="Non-JSON encountered.",
+                        usage=usage,
+                    )
+                    break
+                # handle the error here. for issue #11629
+                if chunk_json.get("error") and chunk_json.get("choices") is None:
+                    raise ValueError(chunk_json.get("error"))
+
+                if chunk_json:
+                    if u := chunk_json.get("usage"):
+                        usage = u
+                if not chunk_json or len(chunk_json["choices"]) == 0:
+                    continue
+
+                choice = chunk_json["choices"][0]
+                finish_reason = chunk_json["choices"][0].get("finish_reason")
+                message_id = chunk_json.get("id")
+                chunk_index += 1
+
+                if "delta" in choice:
+                    delta = choice["delta"]
+                    is_reasoning = delta.get("reasoning_content")
+                    delta_content = delta.get("content") or delta.get("reasoning_content")
+
+                    assistant_message_tool_calls = None
+
+                    if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
+                        assistant_message_tool_calls = delta.get("tool_calls", None)
+                    elif (
+                        "function_call" in delta
+                        and credentials.get("function_calling_type", "no_call") == "function_call"
+                    ):
+                        assistant_message_tool_calls = [
+                            {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
+                        ]
+
+                    # assistant_message_function_call = delta.delta.function_call
+
+                    # extract tool calls from response
+                    if assistant_message_tool_calls:
+                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
+                        increase_tool_call(tool_calls)
+
+                    if delta_content is None or delta_content == "":
+                        continue
+
+                    # Add markdown quote markers for reasoning content
+                    if is_reasoning:
+                        if not is_reasoning_started:
+                            delta_content = "> 💭 " + delta_content
+                            is_reasoning_started = True
+                        elif "\n\n" in delta_content:
+                            delta_content = delta_content.replace("\n\n", "\n> ")
+                        elif "\n" in delta_content:
+                            delta_content = delta_content.replace("\n", "\n> ")
+                    elif is_reasoning_started:
+                        # If we were in reasoning mode but now getting regular content,
+                        # add \n\n to close the reasoning block
+                        delta_content = "\n\n" + delta_content
+                        is_reasoning_started = False
+
+                    # transform assistant message to prompt message
+                    assistant_prompt_message = AssistantPromptMessage(
+                        content=delta_content,
+                    )
+
+                    # reset tool calls
+                    tool_calls = []
+                    full_assistant_content += delta_content
+                elif "text" in choice:
+                    choice_text = choice.get("text", "")
+                    if choice_text == "":
+                        continue
+
+                    # transform assistant message to prompt message
+                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
+                    full_assistant_content += choice_text
+                else:
+                    continue
+
+                yield LLMResultChunk(
+                    id=message_id,
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=chunk_index,
+                        message=assistant_prompt_message,
+                    ),
+                )
+
+            chunk_index += 1
+
+        if tools_calls:
+            yield LLMResultChunk(
+                id=message_id,
+                model=model,
+                prompt_messages=prompt_messages,
+                delta=LLMResultChunkDelta(
+                    index=chunk_index,
+                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
+                ),
+            )
+
+        yield create_final_llm_result_chunk(
+            id=message_id,
+            index=chunk_index,
+            message=AssistantPromptMessage(content=""),
+            finish_reason=finish_reason,
+            usage=usage,
+        )

From b2bbc285802692552332ade472ca28b28fc5f531 Mon Sep 17 00:00:00 2001
From: Warren Chen <warren.chen830@gmail.com>
Date: Sat, 25 Jan 2025 17:28:06 +0800
Subject: [PATCH 076/217] support bedrock kb: retrieve and generate (#13027)

---
 .../builtin/aws/tools/bedrock_config.py       | 114 ++++++
 .../tools/bedrock_retrieve_and_generate.py    | 324 ++++++++++++++++
 .../tools/bedrock_retrieve_and_generate.yaml  | 358 ++++++++++++++++++
 api/poetry.lock                               |  33 +-
 api/pyproject.toml                            |   2 +-
 5 files changed, 813 insertions(+), 18 deletions(-)
 create mode 100644 api/core/tools/provider/builtin/aws/tools/bedrock_config.py
 create mode 100644 api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
 create mode 100644 api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml

diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_config.py b/api/core/tools/provider/builtin/aws/tools/bedrock_config.py
new file mode 100644
index 0000000000..ec6a15cdb6
--- /dev/null
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_config.py
@@ -0,0 +1,114 @@
+"""
+Configuration classes for AWS Bedrock retrieve and generate API
+"""
+
+from dataclasses import dataclass
+from typing import Any, Literal, Optional
+
+
+@dataclass
+class TextInferenceConfig:
+    """Text inference configuration"""
+
+    maxTokens: Optional[int] = None
+    stopSequences: Optional[list[str]] = None
+    temperature: Optional[float] = None
+    topP: Optional[float] = None
+
+
+@dataclass
+class PerformanceConfig:
+    """Performance configuration"""
+
+    latency: Literal["standard", "optimized"]
+
+
+@dataclass
+class PromptTemplate:
+    """Prompt template configuration"""
+
+    textPromptTemplate: str
+
+
+@dataclass
+class GuardrailConfig:
+    """Guardrail configuration"""
+
+    guardrailId: str
+    guardrailVersion: str
+
+
+@dataclass
+class GenerationConfig:
+    """Generation configuration"""
+
+    additionalModelRequestFields: Optional[dict[str, Any]] = None
+    guardrailConfiguration: Optional[GuardrailConfig] = None
+    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
+    performanceConfig: Optional[PerformanceConfig] = None
+    promptTemplate: Optional[PromptTemplate] = None
+
+
+@dataclass
+class VectorSearchConfig:
+    """Vector search configuration"""
+
+    filter: Optional[dict[str, Any]] = None
+    numberOfResults: Optional[int] = None
+    overrideSearchType: Optional[Literal["HYBRID", "SEMANTIC"]] = None
+
+
+@dataclass
+class RetrievalConfig:
+    """Retrieval configuration"""
+
+    vectorSearchConfiguration: VectorSearchConfig
+
+
+@dataclass
+class OrchestrationConfig:
+    """Orchestration configuration"""
+
+    additionalModelRequestFields: Optional[dict[str, Any]] = None
+    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
+    performanceConfig: Optional[PerformanceConfig] = None
+    promptTemplate: Optional[PromptTemplate] = None
+
+
+@dataclass
+class KnowledgeBaseConfig:
+    """Knowledge base configuration"""
+
+    generationConfiguration: GenerationConfig
+    knowledgeBaseId: str
+    modelArn: str
+    orchestrationConfiguration: Optional[OrchestrationConfig] = None
+    retrievalConfiguration: Optional[RetrievalConfig] = None
+
+
+@dataclass
+class SessionConfig:
+    """Session configuration"""
+
+    kmsKeyArn: Optional[str] = None
+    sessionId: Optional[str] = None
+
+
+@dataclass
+class RetrieveAndGenerateConfiguration:
+    """Retrieve and generate configuration
+    The use of knowledgeBaseConfiguration or externalSourcesConfiguration depends on the type value
+    """
+
+    type: str = "KNOWLEDGE_BASE"
+    knowledgeBaseConfiguration: Optional[KnowledgeBaseConfig] = None
+
+
+@dataclass
+class RetrieveAndGenerateConfig:
+    """Retrieve and generate main configuration"""
+
+    input: dict[str, str]
+    retrieveAndGenerateConfiguration: RetrieveAndGenerateConfiguration
+    sessionConfiguration: Optional[SessionConfig] = None
+    sessionId: Optional[str] = None
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
new file mode 100644
index 0000000000..2713cf7546
--- /dev/null
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
@@ -0,0 +1,324 @@
+import json
+from typing import Any, Optional
+
+import boto3
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+
+class BedrockRetrieveAndGenerateTool(BuiltinTool):
+    bedrock_client: Any = None
+
+    def _create_text_inference_config(
+        self,
+        max_tokens: Optional[int] = None,
+        stop_sequences: Optional[str] = None,
+        temperature: Optional[float] = None,
+        top_p: Optional[float] = None,
+    ) -> Optional[dict]:
+        """Create text inference configuration"""
+        if any([max_tokens, stop_sequences, temperature, top_p]):
+            config = {}
+            if max_tokens is not None:
+                config["maxTokens"] = max_tokens
+            if stop_sequences:
+                try:
+                    config["stopSequences"] = json.loads(stop_sequences)
+                except json.JSONDecodeError:
+                    config["stopSequences"] = []
+            if temperature is not None:
+                config["temperature"] = temperature
+            if top_p is not None:
+                config["topP"] = top_p
+            return config
+        return None
+
+    def _create_guardrail_config(
+        self,
+        guardrail_id: Optional[str] = None,
+        guardrail_version: Optional[str] = None,
+    ) -> Optional[dict]:
+        """Create guardrail configuration"""
+        if guardrail_id and guardrail_version:
+            return {"guardrailId": guardrail_id, "guardrailVersion": guardrail_version}
+        return None
+
+    def _create_generation_config(
+        self,
+        additional_model_fields: Optional[str] = None,
+        guardrail_config: Optional[dict] = None,
+        text_inference_config: Optional[dict] = None,
+        performance_mode: Optional[str] = None,
+        prompt_template: Optional[str] = None,
+    ) -> dict:
+        """Create generation configuration"""
+        config = {}
+
+        if additional_model_fields:
+            try:
+                config["additionalModelRequestFields"] = json.loads(additional_model_fields)
+            except json.JSONDecodeError:
+                pass
+
+        if guardrail_config:
+            config["guardrailConfiguration"] = guardrail_config
+
+        if text_inference_config:
+            config["inferenceConfig"] = {"textInferenceConfig": text_inference_config}
+
+        if performance_mode:
+            config["performanceConfig"] = {"latency": performance_mode}
+
+        if prompt_template:
+            config["promptTemplate"] = {"textPromptTemplate": prompt_template}
+
+        return config
+
+    def _create_orchestration_config(
+        self,
+        orchestration_additional_model_fields: Optional[str] = None,
+        orchestration_text_inference_config: Optional[dict] = None,
+        orchestration_performance_mode: Optional[str] = None,
+        orchestration_prompt_template: Optional[str] = None,
+    ) -> dict:
+        """Create orchestration configuration"""
+        config = {}
+
+        if orchestration_additional_model_fields:
+            try:
+                config["additionalModelRequestFields"] = json.loads(orchestration_additional_model_fields)
+            except json.JSONDecodeError:
+                pass
+
+        if orchestration_text_inference_config:
+            config["inferenceConfig"] = {"textInferenceConfig": orchestration_text_inference_config}
+
+        if orchestration_performance_mode:
+            config["performanceConfig"] = {"latency": orchestration_performance_mode}
+
+        if orchestration_prompt_template:
+            config["promptTemplate"] = {"textPromptTemplate": orchestration_prompt_template}
+
+        return config
+
+    def _create_vector_search_config(
+        self,
+        number_of_results: int = 5,
+        search_type: str = "SEMANTIC",
+        metadata_filter: Optional[dict] = None,
+    ) -> dict:
+        """Create vector search configuration"""
+        config = {
+            "numberOfResults": number_of_results,
+            "overrideSearchType": search_type,
+        }
+
+        # Only add filter if metadata_filter is not empty
+        if metadata_filter:
+            config["filter"] = metadata_filter
+
+        return config
+
+    def _bedrock_retrieve_and_generate(
+        self,
+        query: str,
+        knowledge_base_id: str,
+        model_arn: str,
+        # Generation Configuration
+        additional_model_fields: Optional[str] = None,
+        guardrail_id: Optional[str] = None,
+        guardrail_version: Optional[str] = None,
+        max_tokens: Optional[int] = None,
+        stop_sequences: Optional[str] = None,
+        temperature: Optional[float] = None,
+        top_p: Optional[float] = None,
+        performance_mode: str = "standard",
+        prompt_template: Optional[str] = None,
+        # Orchestration Configuration
+        orchestration_additional_model_fields: Optional[str] = None,
+        orchestration_max_tokens: Optional[int] = None,
+        orchestration_stop_sequences: Optional[str] = None,
+        orchestration_temperature: Optional[float] = None,
+        orchestration_top_p: Optional[float] = None,
+        orchestration_performance_mode: Optional[str] = None,
+        orchestration_prompt_template: Optional[str] = None,
+        # Retrieval Configuration
+        number_of_results: int = 5,
+        search_type: str = "SEMANTIC",
+        metadata_filter: Optional[dict] = None,
+        # Additional Configuration
+        session_id: Optional[str] = None,
+    ) -> dict[str, Any]:
+        try:
+            # Create text inference configurations
+            text_inference_config = self._create_text_inference_config(max_tokens, stop_sequences, temperature, top_p)
+            orchestration_text_inference_config = self._create_text_inference_config(
+                orchestration_max_tokens, orchestration_stop_sequences, orchestration_temperature, orchestration_top_p
+            )
+
+            # Create guardrail configuration
+            guardrail_config = self._create_guardrail_config(guardrail_id, guardrail_version)
+
+            # Create vector search configuration
+            vector_search_config = self._create_vector_search_config(number_of_results, search_type, metadata_filter)
+
+            # Create generation configuration
+            generation_config = self._create_generation_config(
+                additional_model_fields, guardrail_config, text_inference_config, performance_mode, prompt_template
+            )
+
+            # Create orchestration configuration
+            orchestration_config = self._create_orchestration_config(
+                orchestration_additional_model_fields,
+                orchestration_text_inference_config,
+                orchestration_performance_mode,
+                orchestration_prompt_template,
+            )
+
+            # Create knowledge base configuration
+            knowledge_base_config = {
+                "knowledgeBaseId": knowledge_base_id,
+                "modelArn": model_arn,
+                "generationConfiguration": generation_config,
+                "orchestrationConfiguration": orchestration_config,
+                "retrievalConfiguration": {"vectorSearchConfiguration": vector_search_config},
+            }
+
+            # Create request configuration
+            request_config = {
+                "input": {"text": query},
+                "retrieveAndGenerateConfiguration": {
+                    "type": "KNOWLEDGE_BASE",
+                    "knowledgeBaseConfiguration": knowledge_base_config,
+                },
+            }
+
+            # Add session configuration if provided
+            if session_id and len(session_id) >= 2:
+                request_config["sessionConfiguration"] = {"sessionId": session_id}
+                request_config["sessionId"] = session_id
+
+            # Send request
+            response = self.bedrock_client.retrieve_and_generate(**request_config)
+
+            # Process response
+            result = {"output": response.get("output", {}).get("text", ""), "citations": []}
+
+            # Process citations
+            for citation in response.get("citations", []):
+                citation_info = {
+                    "text": citation.get("generatedResponsePart", {}).get("textResponsePart", {}).get("text", ""),
+                    "references": [],
+                }
+
+                for ref in citation.get("retrievedReferences", []):
+                    reference = {
+                        "content": ref.get("content", {}).get("text", ""),
+                        "metadata": ref.get("metadata", {}),
+                        "location": None,
+                    }
+
+                    location = ref.get("location", {})
+                    if location.get("type") == "S3":
+                        reference["location"] = location.get("s3Location", {}).get("uri")
+
+                    citation_info["references"].append(reference)
+
+                result["citations"].append(citation_info)
+
+            return result
+
+        except Exception as e:
+            raise Exception(f"Error calling Bedrock service: {str(e)}")
+
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+    ) -> ToolInvokeMessage:
+        try:
+            # Initialize Bedrock client if not already initialized
+            if not self.bedrock_client:
+                aws_region = tool_parameters.get("aws_region")
+                aws_access_key_id = tool_parameters.get("aws_access_key_id")
+                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
+
+                client_kwargs = {
+                    "service_name": "bedrock-agent-runtime",
+                }
+                if aws_region:
+                    client_kwargs["region_name"] = aws_region
+                # Only add credentials if both access key and secret key are provided
+                if aws_access_key_id and aws_secret_access_key:
+                    client_kwargs.update(
+                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
+                    )
+
+                try:
+                    self.bedrock_client = boto3.client(**client_kwargs)
+                except Exception as e:
+                    return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
+
+            # Parse metadata filter if provided
+            metadata_filter = None
+            if metadata_filter_str := tool_parameters.get("metadata_filter"):
+                try:
+                    parsed_filter = json.loads(metadata_filter_str)
+                    if parsed_filter:  # Only set if not empty
+                        metadata_filter = parsed_filter
+                except json.JSONDecodeError:
+                    return self.create_text_message("metadata_filter must be a valid JSON string")
+
+            try:
+                response = self._bedrock_retrieve_and_generate(
+                    query=tool_parameters["query"],
+                    knowledge_base_id=tool_parameters["knowledge_base_id"],
+                    model_arn=tool_parameters["model_arn"],
+                    # Generation Configuration
+                    additional_model_fields=tool_parameters.get("additional_model_fields"),
+                    guardrail_id=tool_parameters.get("guardrail_id"),
+                    guardrail_version=tool_parameters.get("guardrail_version"),
+                    max_tokens=tool_parameters.get("max_tokens"),
+                    stop_sequences=tool_parameters.get("stop_sequences"),
+                    temperature=tool_parameters.get("temperature"),
+                    top_p=tool_parameters.get("top_p"),
+                    performance_mode=tool_parameters.get("performance_mode", "standard"),
+                    prompt_template=tool_parameters.get("prompt_template"),
+                    # Orchestration Configuration
+                    orchestration_additional_model_fields=tool_parameters.get("orchestration_additional_model_fields"),
+                    orchestration_max_tokens=tool_parameters.get("orchestration_max_tokens"),
+                    orchestration_stop_sequences=tool_parameters.get("orchestration_stop_sequences"),
+                    orchestration_temperature=tool_parameters.get("orchestration_temperature"),
+                    orchestration_top_p=tool_parameters.get("orchestration_top_p"),
+                    orchestration_performance_mode=tool_parameters.get("orchestration_performance_mode"),
+                    orchestration_prompt_template=tool_parameters.get("orchestration_prompt_template"),
+                    # Retrieval Configuration
+                    number_of_results=tool_parameters.get("number_of_results", 5),
+                    search_type=tool_parameters.get("search_type", "SEMANTIC"),
+                    metadata_filter=metadata_filter,
+                    # Additional Configuration
+                    session_id=tool_parameters.get("session_id"),
+                )
+                return self.create_json_message(response)
+
+            except Exception as e:
+                return self.create_text_message(f"Tool invocation error: {str(e)}")
+
+        except Exception as e:
+            return self.create_text_message(f"Tool execution error: {str(e)}")
+
+    def validate_parameters(self, parameters: dict[str, Any]) -> None:
+        """Validate the parameters"""
+        required_params = ["query", "model_arn", "knowledge_base_id"]
+        for param in required_params:
+            if not parameters.get(param):
+                raise ValueError(f"{param} is required")
+
+        # Validate metadata filter if provided
+        if metadata_filter_str := parameters.get("metadata_filter"):
+            try:
+                if not isinstance(json.loads(metadata_filter_str), dict):
+                    raise ValueError("metadata_filter must be a valid JSON object")
+            except json.JSONDecodeError:
+                raise ValueError("metadata_filter must be a valid JSON string")
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
new file mode 100644
index 0000000000..f8a3b76aba
--- /dev/null
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
@@ -0,0 +1,358 @@
+identity:
+  name: bedrock_retrieve_and_generate
+  author: AWS
+  label:
+    en_US: Bedrock Retrieve and Generate
+    zh_Hans: Bedrock检索和生成
+  icon: icon.svg
+
+description:
+  human:
+    en_US: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base
+    zh_Hans: 使用Amazon Bedrock知识库进行信息检索和生成的工具
+  llm: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base
+
+parameters:
+# Additional Configuration
+  - name: session_id
+    type: string
+    required: false
+    label:
+      en_US: Session ID
+      zh_Hans: 会话ID
+    human_description:
+      en_US: Optional session ID for continuous conversations
+      zh_Hans: 用于连续对话的可选会话ID
+    form: form
+
+  # AWS Configuration
+  - name: aws_region
+    type: string
+    required: false
+    label:
+      en_US: AWS Region
+      zh_Hans: AWS区域
+    human_description:
+      en_US: AWS region for the Bedrock service
+      zh_Hans: Bedrock服务的AWS区域
+    form: form
+
+  - name: aws_access_key_id
+    type: string
+    required: false
+    label:
+      en_US: AWS Access Key ID
+      zh_Hans: AWS访问密钥ID
+    human_description:
+      en_US: AWS access key ID for authentication (optional)
+      zh_Hans: 用于身份验证的AWS访问密钥ID（可选）
+    form: form
+
+  - name: aws_secret_access_key
+    type: string
+    required: false
+    label:
+      en_US: AWS Secret Access Key
+      zh_Hans: AWS秘密访问密钥
+    human_description:
+      en_US: AWS secret access key for authentication (optional)
+      zh_Hans: 用于身份验证的AWS秘密访问密钥（可选）
+    form: form
+
+  # Knowledge Base Configuration
+  - name: knowledge_base_id
+    type: string
+    required: true
+    label:
+      en_US: Knowledge Base ID
+      zh_Hans: 知识库ID
+    human_description:
+      en_US: ID of the Bedrock Knowledge Base
+      zh_Hans: Bedrock知识库的ID
+    form: form
+
+  - name: model_arn
+    type: string
+    required: true
+    label:
+      en_US: Model ARN
+      zh_Hans: 模型ARN
+    human_description:
+      en_US: The ARN of the model to use
+      zh_Hans: 要使用的模型ARN
+    form: form
+
+  # Retrieval Configuration
+  - name: query
+    type: string
+    required: true
+    label:
+      en_US: Query
+      zh_Hans: 查询
+    human_description:
+      en_US: The search query to retrieve information
+      zh_Hans: 用于检索信息的查询语句
+    form: llm
+
+  - name: number_of_results
+    type: number
+    required: false
+    label:
+      en_US: Number of Results
+      zh_Hans: 结果数量
+    human_description:
+      en_US: Number of results to retrieve (1-10)
+      zh_Hans: 要检索的结果数量（1-10）
+    default: 5
+    min: 1
+    max: 10
+    form: form
+
+  - name: search_type
+    type: select
+    required: false
+    label:
+      en_US: Search Type
+      zh_Hans: 搜索类型
+    human_description:
+      en_US: Type of search to perform
+      zh_Hans: 要执行的搜索类型
+    default: SEMANTIC
+    options:
+      - value: SEMANTIC
+        label:
+          en_US: Semantic Search
+          zh_Hans: 语义搜索
+      - value: HYBRID
+        label:
+          en_US: Hybrid Search
+          zh_Hans: 混合搜索
+    form: form
+
+  - name: metadata_filter
+    type: string
+    required: false
+    label:
+      en_US: Metadata Filter
+      zh_Hans: 元数据过滤器
+    human_description:
+      en_US: JSON formatted filter conditions for metadata, supporting operations like equals, greaterThan, lessThan, etc.
+      zh_Hans: 元数据的JSON格式过滤条件，支持等于、大于、小于等操作
+    default: "{}"
+    form: form
+
+# Generation Configuration
+  - name: guardrail_id
+    type: string
+    required: false
+    label:
+      en_US: Guardrail ID
+      zh_Hans: 防护栏ID
+    human_description:
+      en_US: ID of the guardrail to apply
+      zh_Hans: 要应用的防护栏ID
+    form: form
+
+  - name: guardrail_version
+    type: string
+    required: false
+    label:
+      en_US: Guardrail Version
+      zh_Hans: 防护栏版本
+    human_description:
+      en_US: Version of the guardrail to apply
+      zh_Hans: 要应用的防护栏版本
+    form: form
+
+  - name: max_tokens
+    type: number
+    required: false
+    label:
+      en_US: Maximum Tokens
+      zh_Hans: 最大令牌数
+    human_description:
+      en_US: Maximum number of tokens to generate
+      zh_Hans: 生成的最大令牌数
+    default: 2048
+    form: form
+
+  - name: stop_sequences
+    type: string
+    required: false
+    label:
+      en_US: Stop Sequences
+      zh_Hans: 停止序列
+    human_description:
+      en_US: JSON array of strings that will stop generation when encountered
+      zh_Hans: JSON数组格式的字符串，遇到这些序列时将停止生成
+    default: "[]"
+    form: form
+
+  - name: temperature
+    type: number
+    required: false
+    label:
+      en_US: Temperature
+      zh_Hans: 温度
+    human_description:
+      en_US: Controls randomness in the output (0-1)
+      zh_Hans: 控制输出的随机性（0-1）
+    default: 0.7
+    min: 0
+    max: 1
+    form: form
+
+  - name: top_p
+    type: number
+    required: false
+    label:
+      en_US: Top P
+      zh_Hans: Top P值
+    human_description:
+      en_US: Controls diversity via nucleus sampling (0-1)
+      zh_Hans: 通过核采样控制多样性（0-1）
+    default: 0.95
+    min: 0
+    max: 1
+    form: form
+
+  - name: performance_mode
+    type: select
+    required: false
+    label:
+      en_US: Performance Mode
+      zh_Hans: 性能模式
+    human_description:
+      en_US: Select performance optimization mode(performanceConfig.latency)
+      zh_Hans: 选择性能优化模式(performanceConfig.latency)
+    default: standard
+    options:
+      - value: standard
+        label:
+          en_US: Standard
+          zh_Hans: 标准
+      - value: optimized
+        label:
+          en_US: Optimized
+          zh_Hans: 优化
+    form: form
+
+  - name: prompt_template
+    type: string
+    required: false
+    label:
+      en_US: Prompt Template
+      zh_Hans: 提示模板
+    human_description:
+      en_US: Custom prompt template for generation
+      zh_Hans: 用于生成的自定义提示模板
+    form: form
+
+  - name: additional_model_fields
+    type: string
+    required: false
+    label:
+      en_US: Additional Model Fields
+      zh_Hans: 额外模型字段
+    human_description:
+      en_US: JSON formatted additional fields for model configuration
+      zh_Hans: JSON格式的额外模型配置字段
+    default: "{}"
+    form: form
+
+# Orchestration Configuration
+  - name: orchestration_max_tokens
+    type: number
+    required: false
+    label:
+      en_US: Orchestration Maximum Tokens
+      zh_Hans: 编排最大令牌数
+    human_description:
+      en_US: Maximum number of tokens for orchestration
+      zh_Hans: 编排过程的最大令牌数
+    default: 2048
+    form: form
+
+  - name: orchestration_stop_sequences
+    type: string
+    required: false
+    label:
+      en_US: Orchestration Stop Sequences
+      zh_Hans: 编排停止序列
+    human_description:
+      en_US: JSON array of strings that will stop orchestration when encountered
+      zh_Hans: JSON数组格式的字符串，遇到这些序列时将停止编排
+    default: "[]"
+    form: form
+
+  - name: orchestration_temperature
+    type: number
+    required: false
+    label:
+      en_US: Orchestration Temperature
+      zh_Hans: 编排温度
+    human_description:
+      en_US: Controls randomness in the orchestration output (0-1)
+      zh_Hans: 控制编排输出的随机性（0-1）
+    default: 0.7
+    min: 0
+    max: 1
+    form: form
+
+  - name: orchestration_top_p
+    type: number
+    required: false
+    label:
+      en_US: Orchestration Top P
+      zh_Hans: 编排Top P值
+    human_description:
+      en_US: Controls diversity via nucleus sampling in orchestration (0-1)
+      zh_Hans: 通过核采样控制编排的多样性（0-1）
+    default: 0.95
+    min: 0
+    max: 1
+    form: form
+
+  - name: orchestration_performance_mode
+    type: select
+    required: false
+    label:
+      en_US: Orchestration Performance Mode
+      zh_Hans: 编排性能模式
+    human_description:
+      en_US: Select performance optimization mode for orchestration
+      zh_Hans: 选择编排的性能优化模式
+    default: standard
+    options:
+      - value: standard
+        label:
+          en_US: Standard
+          zh_Hans: 标准
+      - value: optimized
+        label:
+          en_US: Optimized
+          zh_Hans: 优化
+    form: form
+
+  - name: orchestration_prompt_template
+    type: string
+    required: false
+    label:
+      en_US: Orchestration Prompt Template
+      zh_Hans: 编排提示模板
+    human_description:
+      en_US: Custom prompt template for orchestration
+      zh_Hans: 用于编排的自定义提示模板
+    form: form
+
+  - name: orchestration_additional_model_fields
+    type: string
+    required: false
+    label:
+      en_US: Orchestration Additional Model Fields
+      zh_Hans: 编排额外模型字段
+    human_description:
+      en_US: JSON formatted additional fields for orchestration model configuration
+      zh_Hans: JSON格式的编排模型额外配置字段
+    default: "{}"
+    form: form
diff --git a/api/poetry.lock b/api/poetry.lock
index 038979330f..1f72270dd4 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -931,36 +931,36 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.35.74"
+version = "1.36.4"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "boto3-1.35.74-py3-none-any.whl", hash = "sha256:dab5bddbbe57dc707b6f6a1f25dc2823b8e234b6fe99fafef7fc406ab73031b9"},
-    {file = "boto3-1.35.74.tar.gz", hash = "sha256:88370c6845ba71a4dae7f6b357099df29b3965da584be040c8e72c9902bc9492"},
+    {file = "boto3-1.36.4-py3-none-any.whl", hash = "sha256:9f8f699e75ec63fcc98c4dd7290997c7c06c68d3ac8161ad4735fe71f5fe945c"},
+    {file = "boto3-1.36.4.tar.gz", hash = "sha256:eeceeb74ef8b65634d358c27aa074917f4449dc828f79301f1075232618eb502"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.74,<1.36.0"
+botocore = ">=1.36.4,<1.37.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.10.0,<0.11.0"
+s3transfer = ">=0.11.0,<0.12.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.94"
+version = "1.36.5"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "botocore-1.35.94-py3-none-any.whl", hash = "sha256:d784d944865d8279c79d2301fc09ac28b5221d4e7328fb4e23c642c253b9932c"},
-    {file = "botocore-1.35.94.tar.gz", hash = "sha256:2b3309b356541faa4d88bb957dcac1d8004aa44953c0b7d4521a6cc5d3d5d6ba"},
+    {file = "botocore-1.36.5-py3-none-any.whl", hash = "sha256:6d9f70afa9bf9d21407089dc22b8cc8ec6fa44866d4660858c062c74fc8555eb"},
+    {file = "botocore-1.36.5.tar.gz", hash = "sha256:234ed3d29a8954c37a551c933453bf14c6ae44a69a4f273ffef377a2612ca6a6"},
 ]
 
 [package.dependencies]
@@ -969,7 +969,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.22.0)"]
+crt = ["awscrt (==0.23.4)"]
 
 [[package]]
 name = "bottleneck"
@@ -2126,7 +2126,6 @@ files = [
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543"},
-    {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e"},
     {file = "cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053"},
@@ -2137,7 +2136,6 @@ files = [
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c"},
-    {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285"},
     {file = "cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417"},
@@ -7803,6 +7801,7 @@ files = [
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bb89f0a835bcfc1d42ccd5f41f04870c1b936d8507c6df12b7737febc40f0909"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0c2d907a1e102526dd2986df638343388b94c33860ff3bbe1384130828714b1"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f8157bed2f51db683f31306aa497311b560f2265998122abe1dce6428bd86567"},
+    {file = "psycopg2_binary-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:27422aa5f11fbcd9b18da48373eb67081243662f9b46e6fd07c3eb46e4535142"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:eb09aa7f9cecb45027683bb55aebaaf45a0df8bf6de68801a6afdc7947bb09d4"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b73d6d7f0ccdad7bc43e6d34273f70d587ef62f824d7261c4ae9b8b1b6af90e8"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce5ab4bf46a211a8e924d307c1b1fcda82368586a19d0a24f8ae166f5c784864"},
@@ -9563,22 +9562,22 @@ files = [
 
 [[package]]
 name = "s3transfer"
-version = "0.10.4"
+version = "0.11.2"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"},
-    {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
+    {file = "s3transfer-0.11.2-py3-none-any.whl", hash = "sha256:be6ecb39fadd986ef1701097771f87e4d2f821f27f6071c872143884d2950fbc"},
+    {file = "s3transfer-0.11.2.tar.gz", hash = "sha256:3b39185cb72f5acc77db1a58b6e25b977f28d20496b6e58d6813d75f464d632f"},
 ]
 
 [package.dependencies]
-botocore = ">=1.33.2,<2.0a.0"
+botocore = ">=1.36.0,<2.0a.0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
+crt = ["botocore[crt] (>=1.36.0,<2.0a.0)"]
 
 [[package]]
 name = "safetensors"
@@ -12248,4 +12247,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "fdc2199389f0e4b6d81b4b7fe2c1d303b1995643fe802ad3a28b196e68c258ae"
+content-hash = "a8fff72e974a1bd5c28f4ae326d120410a5628ad0bc65d87adca4e943130ec8f"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 12455a0e63..8c4d5fd283 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -21,7 +21,7 @@ azure-ai-inference = "~1.0.0b3"
 azure-ai-ml = "~1.20.0"
 azure-identity = "1.16.1"
 beautifulsoup4 = "4.12.2"
-boto3 = "1.35.74"
+boto3 = "1.36.4"
 bs4 = "~0.0.1"
 cachetools = "~5.3.0"
 celery = "~5.4.0"

From 1374be5a315d06ea9fee733a7c4c960c405885c5 Mon Sep 17 00:00:00 2001
From: Shun Miyazawa <34241526+miya@users.noreply.github.com>
Date: Sat, 25 Jan 2025 20:30:26 +0900
Subject: [PATCH 077/217] fix: Unexpected tag creation when pressing enter
 during tag conversion (#13041)

---
 web/app/components/base/tag-management/index.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/base/tag-management/index.tsx b/web/app/components/base/tag-management/index.tsx
index 9a747910d2..1b859db910 100644
--- a/web/app/components/base/tag-management/index.tsx
+++ b/web/app/components/base/tag-management/index.tsx
@@ -75,7 +75,7 @@ const TagManagementModal = ({ show, type }: TagManagementModalProps) => {
           autoFocus
           value={name}
           onChange={e => setName(e.target.value)}
-          onKeyDown={e => e.key === 'Enter' && createNewTag()}
+          onKeyDown={e => e.key === 'Enter' && !e.nativeEvent.isComposing && createNewTag()}
           onBlur={createNewTag}
         />
         {tagList.map(tag => (

From d4be5ef9de3b9e963586709c99e3d54fe36e2a79 Mon Sep 17 00:00:00 2001
From: Jason <ggbbddjm@gmail.com>
Date: Sun, 26 Jan 2025 09:25:29 +0800
Subject: [PATCH 078/217] Update Novita AI predefined models (#13045)

---
 .../novita/_assets/icon_l_en.svg              | 24 ++++-------
 .../novita/_assets/icon_s_en.svg              | 11 +----
 .../novita/llm/L3-8B-Stheno-v3.2.yaml         | 41 +++++++++++++++++++
 .../model_providers/novita/llm/_position.yaml | 40 ++++++++++++++++++
 .../novita/llm/deepseek_v3.yaml               | 41 +++++++++++++++++++
 .../novita/llm/l3-8b-lunaris.yaml             | 41 +++++++++++++++++++
 .../novita/llm/l31-70b-euryale-v2.2.yaml      | 41 +++++++++++++++++++
 .../novita/llm/llama-3-8b-instruct.yaml       |  4 +-
 .../novita/llm/llama-3.1-70b-instruct.yaml    |  6 +--
 .../llm/llama-3.1-8b-instruct-bf16.yaml       | 41 +++++++++++++++++++
 .../novita/llm/llama-3.1-8b-instruct-max.yaml | 41 +++++++++++++++++++
 .../novita/llm/llama-3.1-8b-instruct.yaml     |  6 +--
 .../llm/llama-3.2-11b-vision-instruct.yaml    | 41 +++++++++++++++++++
 .../novita/llm/llama-3.2-1b-instruct.yaml     | 41 +++++++++++++++++++
 ...struct.yaml => llama-3.2-3b-instruct.yaml} | 10 ++---
 .../novita/llm/llama-3.3-70b-instruct.yaml    | 41 +++++++++++++++++++
 .../novita/llm/mistral-nemo.yaml              | 41 +++++++++++++++++++
 .../novita/llm/mythomax-l2-13b.yaml           |  4 +-
 .../llm/{lzlv_70b.yaml => openchat-7b.yaml}   | 10 ++---
 ...8x7B-DPO.yaml => qwen-2-72b-instruct.yaml} | 10 ++---
 .../novita/llm/qwen-2-7b-instruct.yaml        | 41 +++++++++++++++++++
 .../novita/llm/qwen-2-vl-72b-instruct.yaml    | 41 +++++++++++++++++++
 .../novita/llm/qwen-2.5-72b-instruct.yaml     | 41 +++++++++++++++++++
 .../novita/llm/wizardlm-2-8x22b.yaml          |  4 +-
 .../model_providers/novita/novita.yaml        |  8 ++--
 25 files changed, 614 insertions(+), 56 deletions(-)
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/_position.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
 rename api/core/model_runtime/model_providers/novita/llm/{llama-3.1-405b-instruct.yaml => llama-3.2-3b-instruct.yaml} (79%)
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
 rename api/core/model_runtime/model_providers/novita/llm/{lzlv_70b.yaml => openchat-7b.yaml} (83%)
 rename api/core/model_runtime/model_providers/novita/llm/{Nous-Hermes-2-Mixtral-8x7B-DPO.yaml => qwen-2-72b-instruct.yaml} (79%)
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml

diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg
index 5c92cdbc6d..c27089a2ac 100644
--- a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg
+++ b/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg
@@ -1,19 +1,11 @@
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diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg
index 798c1d6348..ae2d4815c4 100644
--- a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg
+++ b/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg
@@ -1,10 +1,3 @@
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-<stop offset="1" stop-color="#A717FF"/>
-</linearGradient>
-</defs>
+<svg width="24" height="15" viewBox="0 0 24 15" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M24 14.8323V14.8326H14.3246L9.16716 9.67507V14.8326H0V14.8314L9.16716 5.66422V0H9.16774L24 14.8323Z" fill="black"/>
 </svg>
diff --git a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
new file mode 100644
index 0000000000..443cbef4b3
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
@@ -0,0 +1,41 @@
+model: Sao10K/L3-8B-Stheno-v3.2
+label:
+  zh_Hans: Sao10K/L3-8B-Stheno-v3.2
+  en_US: Sao10K/L3-8B-Stheno-v3.2
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0005'
+  output: '0.0005'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/_position.yaml b/api/core/model_runtime/model_providers/novita/llm/_position.yaml
new file mode 100644
index 0000000000..4176fc19ca
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/_position.yaml
@@ -0,0 +1,40 @@
+# Deepseek Models
+- deepseek/deepseek_v3
+
+# LLaMA Models
+- meta-llama/llama-3.3-70b-instruct
+- meta-llama/llama-3.2-11b-vision-instruct
+- meta-llama/llama-3.2-3b-instruct
+- meta-llama/llama-3.2-1b-instruct
+- meta-llama/llama-3.1-70b-instruct
+- meta-llama/llama-3.1-8b-instruct
+- meta-llama/llama-3.1-8b-instruct-max
+- meta-llama/llama-3.1-8b-instruct-bf16
+- meta-llama/llama-3-70b-instruct
+- meta-llama/llama-3-8b-instruct
+
+# Mistral Models
+- mistralai/mistral-nemo
+- mistralai/mistral-7b-instruct
+
+# Qwen Models
+- qwen/qwen-2.5-72b-instruct
+- qwen/qwen-2-72b-instruct
+- qwen/qwen-2-vl-72b-instruct
+- qwen/qwen-2-7b-instruct
+
+# Other Models
+- sao10k/L3-8B-Stheno-v3.2
+- sao10k/l3-70b-euryale-v2.1
+- sao10k/l31-70b-euryale-v2.2
+- sao10k/l3-8b-lunaris
+- jondurbin/airoboros-l2-70b
+- cognitivecomputations/dolphin-mixtral-8x22b
+- google/gemma-2-9b-it
+- nousresearch/hermes-2-pro-llama-3-8b
+- sophosympatheia/midnight-rose-70b
+- gryphe/mythomax-l2-13b
+- nousresearch/nous-hermes-llama2-13b
+- openchat/openchat-7b
+- teknium/openhermes-2.5-mistral-7b
+- microsoft/wizardlm-2-8x22b
diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
new file mode 100644
index 0000000000..b18746622c
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
@@ -0,0 +1,41 @@
+model: deepseek/deepseek_v3
+label:
+  zh_Hans: deepseek/deepseek_v3
+  en_US: deepseek/deepseek_v3
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0089'
+  output: '0.0089'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
new file mode 100644
index 0000000000..d28c84084a
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
@@ -0,0 +1,41 @@
+model: sao10k/l3-8b-lunaris
+label:
+  zh_Hans: sao10k/l3-8b-lunaris
+  en_US: sao10k/l3-8b-lunaris
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0005'
+  output: '0.0005'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
new file mode 100644
index 0000000000..9c39ce51c3
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
@@ -0,0 +1,41 @@
+model: sao10k/l31-70b-euryale-v2.2
+label:
+  zh_Hans: sao10k/l31-70b-euryale-v2.2
+  en_US: sao10k/l31-70b-euryale-v2.2
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 16000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0148'
+  output: '0.0148'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
index 9b5e5df4d0..7a754dfc11 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.00063'
-  output: '0.00063'
+  input: '0.0004'
+  output: '0.0004'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
index 3a5c29c40f..96ef12a41c 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
@@ -7,7 +7,7 @@ features:
   - agent-thought
 model_properties:
   mode: chat
-  context_size: 8192
+  context_size: 32768
 parameter_rules:
   - name: temperature
     use_template: temperature
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.0055'
-  output: '0.0076'
+  input: '0.0034'
+  output: '0.0039'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
new file mode 100644
index 0000000000..5ef72c770f
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
@@ -0,0 +1,41 @@
+model: meta-llama/llama-3.1-8b-instruct-bf16
+label:
+  zh_Hans: meta-llama/llama-3.1-8b-instruct-bf16
+  en_US: meta-llama/llama-3.1-8b-instruct-bf16
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0006'
+  output: '0.0006'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
new file mode 100644
index 0000000000..d75b3e461f
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
@@ -0,0 +1,41 @@
+model: meta-llama/llama-3.1-8b-instruct-max
+label:
+  zh_Hans: meta-llama/llama-3.1-8b-instruct-max
+  en_US: meta-llama/llama-3.1-8b-instruct-max
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 16384
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0005'
+  output: '0.0005'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
index e6ef772a3f..49d9393e4d 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
@@ -7,7 +7,7 @@ features:
   - agent-thought
 model_properties:
   mode: chat
-  context_size: 8192
+  context_size: 16384
 parameter_rules:
   - name: temperature
     use_template: temperature
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.001'
-  output: '0.001'
+  input: '0.0005'
+  output: '0.0005'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
new file mode 100644
index 0000000000..3952a86cac
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
@@ -0,0 +1,41 @@
+model: meta-llama/llama-3.2-11b-vision-instruct
+label:
+  zh_Hans: meta-llama/llama-3.2-11b-vision-instruct
+  en_US: meta-llama/llama-3.2-11b-vision-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0006'
+  output: '0.0006'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
new file mode 100644
index 0000000000..bf73b5cfc2
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
@@ -0,0 +1,41 @@
+model: meta-llama/llama-3.2-1b-instruct
+label:
+  zh_Hans: meta-llama/llama-3.2-1b-instruct
+  en_US: meta-llama/llama-3.2-1b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0002'
+  output: '0.0002'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-405b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
similarity index 79%
rename from api/core/model_runtime/model_providers/novita/llm/llama-3.1-405b-instruct.yaml
rename to api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
index c5a45271ae..66b4842faf 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-405b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
@@ -1,7 +1,7 @@
-model: meta-llama/llama-3.1-405b-instruct
+model: meta-llama/llama-3.2-3b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.1-405b-instruct
-  en_US: meta-llama/llama-3.1-405b-instruct
+  zh_Hans: meta-llama/llama-3.2-3b-instruct
+  en_US: meta-llama/llama-3.2-3b-instruct
 model_type: llm
 features:
   - agent-thought
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.03'
-  output: '0.05'
+  input: '0.0003'
+  output: '0.0005'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
new file mode 100644
index 0000000000..0046dc92f1
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
@@ -0,0 +1,41 @@
+model: meta-llama/llama-3.3-70b-instruct
+label:
+  zh_Hans: meta-llama/llama-3.3-70b-instruct
+  en_US: meta-llama/llama-3.3-70b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0039'
+  output: '0.0039'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
new file mode 100644
index 0000000000..cb11ebbf94
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
@@ -0,0 +1,41 @@
+model: mistralai/mistral-nemo
+label:
+  zh_Hans: mistralai/mistral-nemo
+  en_US: mistralai/mistral-nemo
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0017'
+  output: '0.0017'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
index 7e4ac3ffe0..fd859dcb39 100644
--- a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.00119'
-  output: '0.00119'
+  input: '0.0009'
+  output: '0.0009'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/lzlv_70b.yaml b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
similarity index 83%
rename from api/core/model_runtime/model_providers/novita/llm/lzlv_70b.yaml
rename to api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
index 0cc68a8c45..cad52a4408 100644
--- a/api/core/model_runtime/model_providers/novita/llm/lzlv_70b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
@@ -1,7 +1,7 @@
-model: lzlv_70b
+model: openchat/openchat-7b
 label:
-  zh_Hans: lzlv_70b
-  en_US: lzlv_70b
+  zh_Hans: openchat/openchat-7b
+  en_US: openchat/openchat-7b
 model_type: llm
 features:
   - agent-thought
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.0058'
-  output: '0.0078'
+  input: '0.0006'
+  output: '0.0006'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/Nous-Hermes-2-Mixtral-8x7B-DPO.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
similarity index 79%
rename from api/core/model_runtime/model_providers/novita/llm/Nous-Hermes-2-Mixtral-8x7B-DPO.yaml
rename to api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
index 7ff30458e2..bb2e935c01 100644
--- a/api/core/model_runtime/model_providers/novita/llm/Nous-Hermes-2-Mixtral-8x7B-DPO.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
@@ -1,7 +1,7 @@
-model: Nous-Hermes-2-Mixtral-8x7B-DPO
+model: qwen/qwen-2-72b-instruct
 label:
-  zh_Hans: Nous-Hermes-2-Mixtral-8x7B-DPO
-  en_US: Nous-Hermes-2-Mixtral-8x7B-DPO
+  zh_Hans: qwen/qwen-2-72b-instruct
+  en_US: qwen/qwen-2-72b-instruct
 model_type: llm
 features:
   - agent-thought
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.0027'
-  output: '0.0027'
+  input: '0.0034'
+  output: '0.0039'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
new file mode 100644
index 0000000000..ff93d2eb11
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
@@ -0,0 +1,41 @@
+model: qwen/qwen-2-7b-instruct
+label:
+  zh_Hans: qwen/qwen-2-7b-instruct
+  en_US: qwen/qwen-2-7b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.00054'
+  output: '0.00054'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
new file mode 100644
index 0000000000..97097778c3
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
@@ -0,0 +1,41 @@
+model: qwen/qwen-2-vl-72b-instruct
+label:
+  zh_Hans: qwen/qwen-2-vl-72b-instruct
+  en_US: qwen/qwen-2-vl-72b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0045'
+  output: '0.0045'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
new file mode 100644
index 0000000000..729fac1da9
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
@@ -0,0 +1,41 @@
+model: qwen/qwen-2.5-72b-instruct
+label:
+  zh_Hans: qwen/qwen-2.5-72b-instruct
+  en_US: qwen/qwen-2.5-72b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.0038'
+  output: '0.004'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
index ef42568e8f..6da4c7eca0 100644
--- a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
@@ -35,7 +35,7 @@ parameter_rules:
     max: 2
     default: 0
 pricing:
-  input: '0.0064'
-  output: '0.0064'
+  input: '0.0062'
+  output: '0.0062'
   unit: '0.0001'
   currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/novita.yaml b/api/core/model_runtime/model_providers/novita/novita.yaml
index f634197989..b90d64c951 100644
--- a/api/core/model_runtime/model_providers/novita/novita.yaml
+++ b/api/core/model_runtime/model_providers/novita/novita.yaml
@@ -1,6 +1,6 @@
 provider: novita
 label:
-  en_US: novita.ai
+  en_US: Novita AI
 description:
   en_US: An LLM API that matches various application scenarios with high cost-effectiveness.
   zh_Hans: 适配多种海外应用场景的高性价比 LLM API
@@ -11,10 +11,10 @@ icon_large:
 background: "#eadeff"
 help:
   title:
-    en_US: Get your API key from novita.ai
-    zh_Hans: 从 novita.ai 获取 API Key
+    en_US: Get your API key from Novita AI
+    zh_Hans: 从 Novita AI 获取 API Key
   url:
-    en_US: https://novita.ai/settings#key-management?utm_source=dify&utm_medium=ch&utm_campaign=api
+    en_US: https://novita.ai/settings/key-management?utm_source=dify&utm_medium=ch&utm_campaign=api
 supported_model_types:
   - llm
 configurate_methods:

From d1fc65fabc12a2fb53b0be3e41610024e3874b52 Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Sun, 26 Jan 2025 11:19:41 +0800
Subject: [PATCH 079/217] fix: adjust iteration node dark style (#13051)

---
 .../workflow/nodes/_base/components/node-control.tsx   |  4 ++--
 .../nodes/_base/components/panel-operator/index.tsx    |  6 +++---
 .../nodes/_base/components/title-description-input.tsx | 10 ++++------
 .../_base/components/variable/var-reference-picker.tsx |  2 +-
 web/app/components/workflow/nodes/_base/node.tsx       |  4 ++--
 .../workflow/nodes/iteration-start/index.tsx           |  2 +-
 .../components/workflow/nodes/iteration/add-block.tsx  |  6 +++---
 web/app/components/workflow/nodes/iteration/node.tsx   |  4 ++--
 web/app/components/workflow/nodes/iteration/panel.tsx  |  7 +++----
 9 files changed, 21 insertions(+), 24 deletions(-)

diff --git a/web/app/components/workflow/nodes/_base/components/node-control.tsx b/web/app/components/workflow/nodes/_base/components/node-control.tsx
index 1ce78220a1..781b66af6b 100644
--- a/web/app/components/workflow/nodes/_base/components/node-control.tsx
+++ b/web/app/components/workflow/nodes/_base/components/node-control.tsx
@@ -45,13 +45,13 @@ const NodeControl: FC<NodeControlProps> = ({
       `}
     >
       <div
-        className='flex items-center px-0.5 h-6 bg-white rounded-lg border-[0.5px] border-gray-100 shadow-xs text-gray-500'
+        className='flex items-center px-0.5 h-6 bg-components-actionbar-bg rounded-lg border-[0.5px] border-components-actionbar-border backdrop-blur-[5px] shadow-md text-text-tertiary'
         onClick={e => e.stopPropagation()}
       >
         {
           canRunBySingle(data.type) && (
             <div
-              className='flex items-center justify-center w-5 h-5 rounded-md cursor-pointer hover:bg-black/5'
+              className='flex items-center justify-center w-5 h-5 rounded-md cursor-pointer hover:bg-state-base-hover'
               onClick={() => {
                 handleNodeDataUpdate({
                   id,
diff --git a/web/app/components/workflow/nodes/_base/components/panel-operator/index.tsx b/web/app/components/workflow/nodes/_base/components/panel-operator/index.tsx
index 4c19236716..43d65d3439 100644
--- a/web/app/components/workflow/nodes/_base/components/panel-operator/index.tsx
+++ b/web/app/components/workflow/nodes/_base/components/panel-operator/index.tsx
@@ -54,12 +54,12 @@ const PanelOperator = ({
         <div
           className={`
             flex items-center justify-center w-6 h-6 rounded-md cursor-pointer
-            hover:bg-black/5
-            ${open && 'bg-black/5'}
+            hover:bg-state-base-hover
+            ${open && 'bg-state-base-hover'}
             ${triggerClassName}
           `}
         >
-          <RiMoreFill className={`w-4 h-4 ${inNode ? 'text-gray-500' : 'text-gray-700'}`} />
+          <RiMoreFill className={'w-4 h-4 text-text-tertiary'} />
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='z-[11]'>
diff --git a/web/app/components/workflow/nodes/_base/components/title-description-input.tsx b/web/app/components/workflow/nodes/_base/components/title-description-input.tsx
index a5718ba2b6..f17d34af8a 100644
--- a/web/app/components/workflow/nodes/_base/components/title-description-input.tsx
+++ b/web/app/components/workflow/nodes/_base/components/title-description-input.tsx
@@ -33,10 +33,8 @@ export const TitleInput = memo(({
       value={localValue}
       onChange={e => setLocalValue(e.target.value)}
       className={`
-        grow mr-2 px-1 h-6 text-base text-gray-900 font-semibold rounded-lg border border-transparent appearance-none outline-none
-        hover:bg-gray-50 
-        focus:border-gray-300 focus:shadow-xs focus:bg-white caret-[#295EFF]
-        min-w-0
+        grow mr-2 px-1 h-7 text-text-primary system-xl-semibold rounded-md border border-transparent appearance-none outline-none
+        focus:shadow-xs min-w-0
       `}
       placeholder={t('workflow.common.addTitle') || ''}
       onBlur={handleBlur}
@@ -66,8 +64,8 @@ export const DescriptionInput = memo(({
     <div
       className={`
         group flex px-2 py-[5px] max-h-[60px] rounded-lg overflow-y-auto
-        border border-transparent hover:bg-gray-50 leading-0
-        ${focus && '!border-gray-300 shadow-xs !bg-gray-50'}
+        leading-0 bg-components-panel-bg
+        ${focus && '!shadow-xs'}
       `}
     >
       <Textarea
diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
index 3a4cece35c..cdcea647aa 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
@@ -270,7 +270,7 @@ const VarReferencePicker: FC<Props> = ({
                   <AddButton onClick={() => { }}></AddButton>
                 </div>
               )
-              : (<div ref={!isSupportConstantValue ? triggerRef : null} className={cn((open || isFocus) ? 'border-gray-300' : 'border-gray-100', 'relative group/wrap flex items-center w-full h-8', !isSupportConstantValue && 'p-1 rounded-lg bg-gray-100 border', isInTable && 'bg-transparent border-none', readonly && 'bg-components-input-bg-disabled')}>
+              : (<div ref={!isSupportConstantValue ? triggerRef : null} className={cn((open || isFocus) ? 'border-gray-300' : 'border-gray-100', 'relative group/wrap flex items-center w-full h-8', !isSupportConstantValue && 'p-1 rounded-lg bg-components-input-bg-normal', isInTable && 'bg-transparent border-none', readonly && 'bg-components-input-bg-disabled')}>
                 {isSupportConstantValue
                   ? <div onClick={(e) => {
                     e.stopPropagation()
diff --git a/web/app/components/workflow/nodes/_base/node.tsx b/web/app/components/workflow/nodes/_base/node.tsx
index 4807fa3b2b..e13a7a4117 100644
--- a/web/app/components/workflow/nodes/_base/node.tsx
+++ b/web/app/components/workflow/nodes/_base/node.tsx
@@ -107,7 +107,7 @@ const BaseNode: FC<BaseNodeProps> = ({
           'group relative pb-1 shadow-xs',
           'border border-transparent rounded-[15px]',
           data.type !== BlockEnum.Iteration && 'w-[240px] bg-workflow-block-bg',
-          data.type === BlockEnum.Iteration && 'flex flex-col w-full h-full bg-[#fcfdff]/80',
+          data.type === BlockEnum.Iteration && 'flex flex-col w-full h-full bg-workflow-block-bg-transparent border-workflow-block-border',
           !data._runningStatus && 'hover:shadow-lg',
           showRunningBorder && '!border-state-accent-solid',
           showSuccessBorder && '!border-state-success-solid',
@@ -169,7 +169,7 @@ const BaseNode: FC<BaseNodeProps> = ({
         }
         <div className={cn(
           'flex items-center px-3 pt-3 pb-2 rounded-t-2xl',
-          data.type === BlockEnum.Iteration && 'bg-[rgba(250,252,255,0.9)]',
+          data.type === BlockEnum.Iteration && 'bg-transparent',
         )}>
           <BlockIcon
             className='shrink-0 mr-2'
diff --git a/web/app/components/workflow/nodes/iteration-start/index.tsx b/web/app/components/workflow/nodes/iteration-start/index.tsx
index a765f82733..58174e1262 100644
--- a/web/app/components/workflow/nodes/iteration-start/index.tsx
+++ b/web/app/components/workflow/nodes/iteration-start/index.tsx
@@ -9,7 +9,7 @@ const IterationStartNode = ({ id, data }: NodeProps) => {
   const { t } = useTranslation()
 
   return (
-    <div className='group flex nodrag items-center justify-center w-11 h-11 mt-1 rounded-2xl border border-workflow-block-border bg-white'>
+    <div className='group flex nodrag items-center justify-center w-11 h-11 mt-1 rounded-2xl border border-workflow-block-border bg-workflow-block-bg shadow-xs'>
       <Tooltip popupContent={t('workflow.blocks.iteration-start')} asChild={false}>
         <div className='flex items-center justify-center w-6 h-6 rounded-full border-[0.5px] border-components-panel-border-subtle bg-util-colors-blue-brand-blue-brand-500'>
           <RiHome5Fill className='w-3 h-3 text-text-primary-on-surface' />
diff --git a/web/app/components/workflow/nodes/iteration/add-block.tsx b/web/app/components/workflow/nodes/iteration/add-block.tsx
index 07e2b5daf0..5328ed2732 100644
--- a/web/app/components/workflow/nodes/iteration/add-block.tsx
+++ b/web/app/components/workflow/nodes/iteration/add-block.tsx
@@ -49,9 +49,9 @@ const AddBlock = ({
   const renderTriggerElement = useCallback((open: boolean) => {
     return (
       <div className={cn(
-        'relative inline-flex items-center px-3 h-8 rounded-lg border-[0.5px] border-gray-50 bg-white shadow-xs cursor-pointer hover:bg-gray-200 text-[13px] font-medium text-gray-700',
-        `${nodesReadOnly && '!cursor-not-allowed opacity-50'}`,
-        open && '!bg-gray-50',
+        'relative inline-flex items-center px-3 h-8 rounded-lg border-[0.5px] border-components-button-secondary-border bg-components-button-secondary-bg shadow-xs cursor-pointer hover:bg-components-button-secondary-bg-hover system-sm-medium text-components-button-secondary-text backdrop-blur-[5px]',
+        `${nodesReadOnly && '!cursor-not-allowed bg-components-button-secondary-bg-disabled'}`,
+        open && 'bg-components-button-secondary-bg-hover',
       )}>
         <RiAddLine className='mr-1 w-4 h-4' />
         {t('workflow.common.addBlock')}
diff --git a/web/app/components/workflow/nodes/iteration/node.tsx b/web/app/components/workflow/nodes/iteration/node.tsx
index fda033b87a..63874f7d6c 100644
--- a/web/app/components/workflow/nodes/iteration/node.tsx
+++ b/web/app/components/workflow/nodes/iteration/node.tsx
@@ -43,14 +43,14 @@ const Node: FC<NodeProps<IterationNodeType>> = ({
 
   return (
     <div className={cn(
-      'relative min-w-[240px] min-h-[90px] w-full h-full rounded-2xl bg-[#F0F2F7]/90',
+      'relative min-w-[240px] min-h-[90px] w-full h-full rounded-2xl',
     )}>
       <Background
         id={`iteration-background-${id}`}
         className='rounded-2xl !z-0'
         gap={[14 / zoom, 14 / zoom]}
         size={2 / zoom}
-        color='#E4E5E7'
+        color='var(--color-workflow-canvas-workflow-dot-color)'
       />
       {
         data._isCandidate && (
diff --git a/web/app/components/workflow/nodes/iteration/panel.tsx b/web/app/components/workflow/nodes/iteration/panel.tsx
index 9b6b3d3790..b21f11fc7a 100644
--- a/web/app/components/workflow/nodes/iteration/panel.tsx
+++ b/web/app/components/workflow/nodes/iteration/panel.tsx
@@ -76,7 +76,7 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
         <Field
           title={t(`${i18nPrefix}.input`)}
           operations={(
-            <div className='flex items-center h-[18px] px-1 border border-black/8 rounded-[5px] text-xs font-medium text-gray-500 capitalize'>Array</div>
+            <div className='flex items-center h-[18px] px-1 border border-divider-deep rounded-[5px] system-2xs-medium-uppercase text-text-tertiary capitalize'>Array</div>
           )}
         >
           <VarReferencePicker
@@ -94,7 +94,7 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
         <Field
           title={t(`${i18nPrefix}.output`)}
           operations={(
-            <div className='flex items-center h-[18px] px-1 border border-black/8 rounded-[5px] text-xs font-medium text-gray-500 capitalize'>Array</div>
+            <div className='flex items-center h-[18px] px-1 border border-divider-deep rounded-[5px] system-2xs-medium-uppercase text-text-tertiary capitalize'>Array</div>
           )}
         >
           <VarReferencePicker
@@ -134,8 +134,7 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
 
       <div className='px-4 py-2'>
         <Field title={t(`${i18nPrefix}.errorResponseMethod`)} >
-          <Select items={responseMethod} defaultValue={inputs.error_handle_mode} onSelect={changeErrorResponseMode} allowSearch={false}>
-          </Select>
+          <Select items={responseMethod} defaultValue={inputs.error_handle_mode} onSelect={changeErrorResponseMode} allowSearch={false} />
         </Field>
       </div>
 

From a6a727e8a4cebf45c0a698cca2eefcf52799d088 Mon Sep 17 00:00:00 2001
From: Xin Zhang <sjhpzx@gmail.com>
Date: Sun, 26 Jan 2025 15:36:56 +0800
Subject: [PATCH 080/217] feat: add inner API to create workspace without
 requiring email (#13021)

---
 .../inner_api/workspace/workspace.py          | 32 +++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/api/controllers/inner_api/workspace/workspace.py b/api/controllers/inner_api/workspace/workspace.py
index d7346b13b1..8b2a7c0c4e 100644
--- a/api/controllers/inner_api/workspace/workspace.py
+++ b/api/controllers/inner_api/workspace/workspace.py
@@ -1,3 +1,5 @@
+import json
+
 from flask_restful import Resource, reqparse  # type: ignore
 
 from controllers.console.wraps import setup_required
@@ -29,4 +31,34 @@ class EnterpriseWorkspace(Resource):
         return {"message": "enterprise workspace created."}
 
 
+class EnterpriseWorkspaceNoOwnerEmail(Resource):
+    @setup_required
+    @inner_api_only
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("name", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
+
+        tenant_was_created.send(tenant)
+
+        resp = {
+            "id": tenant.id,
+            "name": tenant.name,
+            "encrypt_public_key": tenant.encrypt_public_key,
+            "plan": tenant.plan,
+            "status": tenant.status,
+            "custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
+            "created_at": tenant.created_at.isoformat() if tenant.created_at else None,
+            "updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
+        }
+
+        return {
+            "message": "enterprise workspace created.",
+            "tenant": resp,
+        }
+
+
 api.add_resource(EnterpriseWorkspace, "/enterprise/workspace")
+api.add_resource(EnterpriseWorkspaceNoOwnerEmail, "/enterprise/workspace/ownerless")

From aad7e4dd1c0cacb8318aa0177281c8ad6755d25d Mon Sep 17 00:00:00 2001
From: yjc980121 <3898524+yjc980121@users.noreply.github.com>
Date: Mon, 27 Jan 2025 11:33:03 +0800
Subject: [PATCH 081/217] fix:Improve MIME type detection for remote URL
 uploads using python-magic (#12693)

---
 api/controllers/common/helpers.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/api/controllers/common/helpers.py b/api/controllers/common/helpers.py
index 2bae203712..fa42ce4c43 100644
--- a/api/controllers/common/helpers.py
+++ b/api/controllers/common/helpers.py
@@ -7,6 +7,7 @@ from typing import Any
 from uuid import uuid4
 
 import httpx
+import magic
 from pydantic import BaseModel
 
 from configs import dify_config
@@ -47,6 +48,13 @@ def guess_file_info_from_response(response: httpx.Response):
         # If guessing fails, use Content-Type from response headers
         mimetype = response.headers.get("Content-Type", "application/octet-stream")
 
+    # Use python-magic to guess MIME type if still unknown or generic
+    if mimetype == "application/octet-stream":
+        try:
+            mimetype = magic.from_buffer(response.content[:1024], mime=True)
+        except magic.MagicException:
+            pass
+
     extension = os.path.splitext(filename)[1]
 
     # Ensure filename has an extension

From edc29780ed2be2f3a658bba4995a79654371087e Mon Sep 17 00:00:00 2001
From: jiandanfeng <chenjh3@wangsu.com>
Date: Mon, 27 Jan 2025 11:33:13 +0800
Subject: [PATCH 082/217] fix: "Model schema not found" error only in agents
 (#12655) (#12760)

---
 api/core/app/apps/agent_chat/app_runner.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/app/apps/agent_chat/app_runner.py b/api/core/app/apps/agent_chat/app_runner.py
index ac71f02b6d..c670536140 100644
--- a/api/core/app/apps/agent_chat/app_runner.py
+++ b/api/core/app/apps/agent_chat/app_runner.py
@@ -202,7 +202,7 @@ class AgentChatAppRunner(AppRunner):
         # change function call strategy based on LLM model
         llm_model = cast(LargeLanguageModel, model_instance.model_type_instance)
         model_schema = llm_model.get_model_schema(model_instance.model, model_instance.credentials)
-        if not model_schema or not model_schema.features:
+        if not model_schema:
             raise ValueError("Model schema not found")
 
         if {ModelFeature.MULTI_TOOL_CALL, ModelFeature.TOOL_CALL}.intersection(model_schema.features or []):

From 6c31ee36cdd02869a914c4f338cef64569e6be39 Mon Sep 17 00:00:00 2001
From: heyszt <36215648+hieheihei@users.noreply.github.com>
Date: Mon, 27 Jan 2025 11:35:23 +0800
Subject: [PATCH 083/217] fix qwen-vl blocking mode (#13052)

---
 api/core/model_runtime/model_providers/tongyi/llm/llm.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
index 8214667427..75c62a9080 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
@@ -219,8 +219,12 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         if response.status_code not in {200, HTTPStatus.OK}:
             raise ServiceUnavailableError(response.message)
         # transform assistant message to prompt message
+        resp_content = response.output.choices[0].message.content
+        # special for qwen-vl
+        if isinstance(resp_content, list):
+            resp_content = resp_content[0]["text"]
         assistant_prompt_message = AssistantPromptMessage(
-            content=response.output.choices[0].message.content,
+            content=resp_content,
         )
 
         # transform usage

From 5d91dbd000b94df3a12c579e14a2f29e6e0516cf Mon Sep 17 00:00:00 2001
From: Abdullah AlOsaimi <osaimiacc@gmail.com>
Date: Mon, 27 Jan 2025 12:09:41 +0300
Subject: [PATCH 084/217] Set default LOG_LEVEL to INFO for celery workers and
 beat (#13066)

Co-authored-by: Abdullah AlOsaimi <189027247+osaimi@users.noreply.github.com>
---
 api/docker/entrypoint.sh | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/docker/entrypoint.sh b/api/docker/entrypoint.sh
index f0c6ca61d9..68f3c65a4b 100755
--- a/api/docker/entrypoint.sh
+++ b/api/docker/entrypoint.sh
@@ -20,11 +20,11 @@ if [[ "${MODE}" == "worker" ]]; then
     CONCURRENCY_OPTION="-c ${CELERY_WORKER_AMOUNT:-1}"
   fi
 
-  exec celery -A app.celery worker -P ${CELERY_WORKER_CLASS:-gevent} $CONCURRENCY_OPTION --loglevel ${LOG_LEVEL} \
+  exec celery -A app.celery worker -P ${CELERY_WORKER_CLASS:-gevent} $CONCURRENCY_OPTION --loglevel ${LOG_LEVEL:-INFO} \
     -Q ${CELERY_QUEUES:-dataset,mail,ops_trace,app_deletion}
 
 elif [[ "${MODE}" == "beat" ]]; then
-  exec celery -A app.celery beat --loglevel ${LOG_LEVEL}
+  exec celery -A app.celery beat --loglevel ${LOG_LEVEL:-INFO}
 else
   if [[ "${DEBUG}" == "true" ]]; then
     exec flask run --host=${DIFY_BIND_ADDRESS:-0.0.0.0} --port=${DIFY_PORT:-5001} --debug

From 560c5de1b735a47186bf3a955730bf1a5f70fbc6 Mon Sep 17 00:00:00 2001
From: Jason <ggbbddjm@gmail.com>
Date: Tue, 28 Jan 2025 10:38:54 +0800
Subject: [PATCH 085/217] Fixed Novita AI color and added DeepSeek R1 model
 (#13074)

---
 .../novita/llm/L3-8B-Stheno-v3.2.yaml         |  4 +-
 .../model_providers/novita/llm/_position.yaml |  1 +
 .../novita/llm/airoboros-l2-70b.yaml          |  4 +-
 .../novita/llm/deepseek-r1.yaml               | 41 +++++++++++++++++++
 .../novita/llm/deepseek_v3.yaml               |  4 +-
 .../novita/llm/dolphin-mixtral-8x22b.yaml     |  4 +-
 .../novita/llm/gemma-2-9b-it.yaml             |  4 +-
 .../novita/llm/hermes-2-pro-llama-3-8b.yaml   |  4 +-
 .../novita/llm/l3-70b-euryale-v2.1.yaml       |  4 +-
 .../novita/llm/l3-8b-lunaris.yaml             |  4 +-
 .../novita/llm/l31-70b-euryale-v2.2.yaml      |  4 +-
 .../novita/llm/llama-3-70b-instruct.yaml      |  4 +-
 .../novita/llm/llama-3-8b-instruct.yaml       |  4 +-
 .../novita/llm/llama-3.1-70b-instruct.yaml    |  4 +-
 .../llm/llama-3.1-8b-instruct-bf16.yaml       |  4 +-
 .../novita/llm/llama-3.1-8b-instruct-max.yaml |  4 +-
 .../novita/llm/llama-3.1-8b-instruct.yaml     |  4 +-
 .../llm/llama-3.2-11b-vision-instruct.yaml    |  4 +-
 .../novita/llm/llama-3.2-1b-instruct.yaml     |  4 +-
 .../novita/llm/llama-3.2-3b-instruct.yaml     |  4 +-
 .../novita/llm/llama-3.3-70b-instruct.yaml    |  4 +-
 .../novita/llm/midnight-rose-70b.yaml         |  4 +-
 .../novita/llm/mistral-7b-instruct.yaml       |  4 +-
 .../novita/llm/mistral-nemo.yaml              |  4 +-
 .../novita/llm/mythomax-l2-13b.yaml           |  4 +-
 .../novita/llm/nous-hermes-llama2-13b.yaml    |  4 +-
 .../novita/llm/openchat-7b.yaml               |  4 +-
 .../novita/llm/openhermes-2.5-mistral-7b.yaml |  4 +-
 .../novita/llm/qwen-2-72b-instruct.yaml       |  4 +-
 .../novita/llm/qwen-2-7b-instruct.yaml        |  4 +-
 .../novita/llm/qwen-2-vl-72b-instruct.yaml    |  4 +-
 .../novita/llm/qwen-2.5-72b-instruct.yaml     |  4 +-
 .../novita/llm/wizardlm-2-8x22b.yaml          |  4 +-
 .../model_providers/novita/novita.yaml        |  2 +-
 34 files changed, 105 insertions(+), 63 deletions(-)
 create mode 100644 api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml

diff --git a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
index 443cbef4b3..34e0374770 100644
--- a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
@@ -1,7 +1,7 @@
 model: Sao10K/L3-8B-Stheno-v3.2
 label:
-  zh_Hans: Sao10K/L3-8B-Stheno-v3.2
-  en_US: Sao10K/L3-8B-Stheno-v3.2
+  zh_Hans: L3 8B Stheno V3.2
+  en_US: L3 8B Stheno V3.2
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/_position.yaml b/api/core/model_runtime/model_providers/novita/llm/_position.yaml
index 4176fc19ca..9550dcba62 100644
--- a/api/core/model_runtime/model_providers/novita/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/_position.yaml
@@ -1,4 +1,5 @@
 # Deepseek Models
+- deepseek/deepseek-r1
 - deepseek/deepseek_v3
 
 # LLaMA Models
diff --git a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml
index b599418461..bcf9fa1b44 100644
--- a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml
@@ -1,7 +1,7 @@
 model: jondurbin/airoboros-l2-70b
 label:
-  zh_Hans: jondurbin/airoboros-l2-70b
-  en_US: jondurbin/airoboros-l2-70b
+  zh_Hans: Airoboros L2 70B
+  en_US: Airoboros L2 70B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml
new file mode 100644
index 0000000000..ce80aa8243
--- /dev/null
+++ b/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml
@@ -0,0 +1,41 @@
+model: deepseek/deepseek-r1
+label:
+  zh_Hans: DeepSeek R1
+  en_US: DeepSeek R1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 2
+    default: 1
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 2048
+    default: 512
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+pricing:
+  input: '0.04'
+  output: '0.04'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
index b18746622c..261a0a67c2 100644
--- a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
@@ -1,7 +1,7 @@
 model: deepseek/deepseek_v3
 label:
-  zh_Hans: deepseek/deepseek_v3
-  en_US: deepseek/deepseek_v3
+  zh_Hans: DeepSeek V3
+  en_US: DeepSeek V3
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml
index 72a181f5d3..708c51aeb5 100644
--- a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml
@@ -1,7 +1,7 @@
 model: cognitivecomputations/dolphin-mixtral-8x22b
 label:
-  zh_Hans: cognitivecomputations/dolphin-mixtral-8x22b
-  en_US: cognitivecomputations/dolphin-mixtral-8x22b
+  zh_Hans: Dolphin Mixtral 8x22B
+  en_US: Dolphin Mixtral 8x22B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml b/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml
index d1749bc882..f23e369498 100644
--- a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml
@@ -1,7 +1,7 @@
 model: google/gemma-2-9b-it
 label:
-  zh_Hans: google/gemma-2-9b-it
-  en_US: google/gemma-2-9b-it
+  zh_Hans: Gemma 2 9B
+  en_US: Gemma 2 9B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml b/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml
index 8b3228e56a..4b5fe4ab95 100644
--- a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml
@@ -1,7 +1,7 @@
 model: nousresearch/hermes-2-pro-llama-3-8b
 label:
-  zh_Hans: nousresearch/hermes-2-pro-llama-3-8b
-  en_US: nousresearch/hermes-2-pro-llama-3-8b
+  zh_Hans: Hermes 2 Pro Llama 3 8B
+  en_US: Hermes 2 Pro Llama 3 8B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml
index 5e27941c52..f294c2e452 100644
--- a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml
@@ -1,7 +1,7 @@
 model: sao10k/l3-70b-euryale-v2.1
 label:
-  zh_Hans: sao10k/l3-70b-euryale-v2.1
-  en_US: sao10k/l3-70b-euryale-v2.1
+  zh_Hans: "L3 70B Euryale V2.1\t"
+  en_US: "L3 70B Euryale V2.1\t"
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
index d28c84084a..d22ecaedf9 100644
--- a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
@@ -1,7 +1,7 @@
 model: sao10k/l3-8b-lunaris
 label:
-  zh_Hans: sao10k/l3-8b-lunaris
-  en_US: sao10k/l3-8b-lunaris
+  zh_Hans: "Sao10k L3 8B Lunaris"
+  en_US: "Sao10k L3 8B Lunaris"
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
index 9c39ce51c3..19cfe31a06 100644
--- a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
@@ -1,7 +1,7 @@
 model: sao10k/l31-70b-euryale-v2.2
 label:
-  zh_Hans: sao10k/l31-70b-euryale-v2.2
-  en_US: sao10k/l31-70b-euryale-v2.2
+  zh_Hans: L31 70B Euryale V2.2
+  en_US: L31 70B Euryale V2.2
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml
index 39709e1063..1c6a78257b 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3-70b-instruct
 label:
-  zh_Hans: meta-llama/llama-3-70b-instruct
-  en_US: meta-llama/llama-3-70b-instruct
+  zh_Hans: Llama3 70b Instruct
+  en_US: Llama3 70b Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
index 7a754dfc11..98ca0ff571 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3-8b-instruct
 label:
-  zh_Hans: meta-llama/llama-3-8b-instruct
-  en_US: meta-llama/llama-3-8b-instruct
+  zh_Hans: Llama 3 8B Instruct
+  en_US: Llama 3 8B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
index 96ef12a41c..be374abad3 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.1-70b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.1-70b-instruct
-  en_US: meta-llama/llama-3.1-70b-instruct
+  zh_Hans: Llama 3.1 70B Instruct
+  en_US: Llama 3.1 70B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
index 5ef72c770f..b172084fff 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.1-8b-instruct-bf16
 label:
-  zh_Hans: meta-llama/llama-3.1-8b-instruct-bf16
-  en_US: meta-llama/llama-3.1-8b-instruct-bf16
+  zh_Hans: Llama 3.1 8B Instruct BF16
+  en_US: Llama 3.1 8B Instruct BF16
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
index d75b3e461f..1ddd8e2d44 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.1-8b-instruct-max
 label:
-  zh_Hans: meta-llama/llama-3.1-8b-instruct-max
-  en_US: meta-llama/llama-3.1-8b-instruct-max
+  zh_Hans: "Llama3.1 8B Instruct Max\t"
+  en_US: "Llama3.1 8B Instruct Max\t"
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
index 49d9393e4d..a4ca86df9f 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.1-8b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.1-8b-instruct
-  en_US: meta-llama/llama-3.1-8b-instruct
+  zh_Hans: Llama 3.1 8B Instruct
+  en_US: Llama 3.1 8B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
index 3952a86cac..f33fa6e507 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.2-11b-vision-instruct
 label:
-  zh_Hans: meta-llama/llama-3.2-11b-vision-instruct
-  en_US: meta-llama/llama-3.2-11b-vision-instruct
+  zh_Hans: "Llama 3.2 11B Vision Instruct\t"
+  en_US: "Llama 3.2 11B Vision Instruct\t"
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
index bf73b5cfc2..f09750f8ca 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.2-1b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.2-1b-instruct
-  en_US: meta-llama/llama-3.2-1b-instruct
+  zh_Hans: "Llama 3.2 1B Instruct\t"
+  en_US: "Llama 3.2 1B Instruct\t"
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
index 66b4842faf..7a19ef475a 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.2-3b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.2-3b-instruct
-  en_US: meta-llama/llama-3.2-3b-instruct
+  zh_Hans: Llama 3.2 3B Instruct
+  en_US: Llama 3.2 3B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
index 0046dc92f1..efdc2cc9ee 100644
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
@@ -1,7 +1,7 @@
 model: meta-llama/llama-3.3-70b-instruct
 label:
-  zh_Hans: meta-llama/llama-3.3-70b-instruct
-  en_US: meta-llama/llama-3.3-70b-instruct
+  zh_Hans: Llama 3.3 70B Instruct
+  en_US: Llama 3.3 70B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml
index 19876bee17..26f06868a9 100644
--- a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml
@@ -1,7 +1,7 @@
 model: sophosympatheia/midnight-rose-70b
 label:
-  zh_Hans: sophosympatheia/midnight-rose-70b
-  en_US: sophosympatheia/midnight-rose-70b
+  zh_Hans: Midnight Rose 70B
+  en_US: Midnight Rose 70B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml
index 6fba47bcf0..237542554f 100644
--- a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml
@@ -1,7 +1,7 @@
 model: mistralai/mistral-7b-instruct
 label:
-  zh_Hans: mistralai/mistral-7b-instruct
-  en_US: mistralai/mistral-7b-instruct
+  zh_Hans: Mistral 7B Instruct
+  en_US: Mistral 7B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
index cb11ebbf94..6f1167385f 100644
--- a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
@@ -1,7 +1,7 @@
 model: mistralai/mistral-nemo
 label:
-  zh_Hans: mistralai/mistral-nemo
-  en_US: mistralai/mistral-nemo
+  zh_Hans: Mistral Nemo
+  en_US: Mistral Nemo
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
index fd859dcb39..4c32e106a0 100644
--- a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
@@ -1,7 +1,7 @@
 model: gryphe/mythomax-l2-13b
 label:
-  zh_Hans: gryphe/mythomax-l2-13b
-  en_US: gryphe/mythomax-l2-13b
+  zh_Hans: Mythomax L2 13B
+  en_US: Mythomax L2 13B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml
index 75671c414c..21a5ee8c0b 100644
--- a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml
@@ -1,7 +1,7 @@
 model: nousresearch/nous-hermes-llama2-13b
 label:
-  zh_Hans: nousresearch/nous-hermes-llama2-13b
-  en_US: nousresearch/nous-hermes-llama2-13b
+  zh_Hans: Nous Hermes Llama2 13B
+  en_US: Nous Hermes Llama2 13B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
index cad52a4408..b21ea30153 100644
--- a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
@@ -1,7 +1,7 @@
 model: openchat/openchat-7b
 label:
-  zh_Hans: openchat/openchat-7b
-  en_US: openchat/openchat-7b
+  zh_Hans: OpenChat 7B
+  en_US: OpenChat 7B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml
index 8b0deba4f7..272a4ed868 100644
--- a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml
@@ -1,7 +1,7 @@
 model: teknium/openhermes-2.5-mistral-7b
 label:
-  zh_Hans: teknium/openhermes-2.5-mistral-7b
-  en_US: teknium/openhermes-2.5-mistral-7b
+  zh_Hans: Openhermes2.5 Mistral 7B
+  en_US: Openhermes2.5 Mistral 7B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
index bb2e935c01..069f9096bc 100644
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
@@ -1,7 +1,7 @@
 model: qwen/qwen-2-72b-instruct
 label:
-  zh_Hans: qwen/qwen-2-72b-instruct
-  en_US: qwen/qwen-2-72b-instruct
+  zh_Hans: Qwen2 72B Instruct
+  en_US: Qwen2 72B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
index ff93d2eb11..afc627f193 100644
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
@@ -1,7 +1,7 @@
 model: qwen/qwen-2-7b-instruct
 label:
-  zh_Hans: qwen/qwen-2-7b-instruct
-  en_US: qwen/qwen-2-7b-instruct
+  zh_Hans: Qwen 2 7B Instruct
+  en_US: Qwen 2 7B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
index 97097778c3..06bdf0c837 100644
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
@@ -1,7 +1,7 @@
 model: qwen/qwen-2-vl-72b-instruct
 label:
-  zh_Hans: qwen/qwen-2-vl-72b-instruct
-  en_US: qwen/qwen-2-vl-72b-instruct
+  zh_Hans: Qwen 2 VL 72B Instruct
+  en_US: Qwen 2 VL 72B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
index 729fac1da9..97f5af35b7 100644
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
@@ -1,7 +1,7 @@
 model: qwen/qwen-2.5-72b-instruct
 label:
-  zh_Hans: qwen/qwen-2.5-72b-instruct
-  en_US: qwen/qwen-2.5-72b-instruct
+  zh_Hans: Qwen 2.5 72B Instruct
+  en_US: Qwen 2.5 72B Instruct
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
index 6da4c7eca0..126670dda6 100644
--- a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
+++ b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
@@ -1,7 +1,7 @@
 model: microsoft/wizardlm-2-8x22b
 label:
-  zh_Hans: microsoft/wizardlm-2-8x22b
-  en_US: microsoft/wizardlm-2-8x22b
+  zh_Hans: Wizardlm 2 8x22B
+  en_US: Wizardlm 2 8x22B
 model_type: llm
 features:
   - agent-thought
diff --git a/api/core/model_runtime/model_providers/novita/novita.yaml b/api/core/model_runtime/model_providers/novita/novita.yaml
index b90d64c951..223085453d 100644
--- a/api/core/model_runtime/model_providers/novita/novita.yaml
+++ b/api/core/model_runtime/model_providers/novita/novita.yaml
@@ -8,7 +8,7 @@ icon_small:
   en_US: icon_s_en.svg
 icon_large:
   en_US: icon_l_en.svg
-background: "#eadeff"
+background: "#c7fce2"
 help:
   title:
     en_US: Get your API key from Novita AI

From 23c68efa2d3a66d083aa59c430f6f69b5428a0fc Mon Sep 17 00:00:00 2001
From: Yingchun Lai <laiyingchun@apache.org>
Date: Tue, 28 Jan 2025 10:49:58 +0800
Subject: [PATCH 086/217] fix: fix the formatter is not applied on log file
 (#12704)

---
 api/extensions/ext_logging.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/api/extensions/ext_logging.py b/api/extensions/ext_logging.py
index 1b9e78828d..bf9b492a50 100644
--- a/api/extensions/ext_logging.py
+++ b/api/extensions/ext_logging.py
@@ -27,12 +27,11 @@ def init_app(app: DifyApp):
     # Always add StreamHandler to log to console
     sh = logging.StreamHandler(sys.stdout)
     sh.addFilter(RequestIdFilter())
-    log_formatter = logging.Formatter(fmt=dify_config.LOG_FORMAT)
-    sh.setFormatter(log_formatter)
     log_handlers.append(sh)
 
     logging.basicConfig(
         level=dify_config.LOG_LEVEL,
+        format=dify_config.LOG_FORMAT,
         datefmt=dify_config.LOG_DATEFORMAT,
         handlers=log_handlers,
         force=True,

From d44882c1b5aa8ec59c73d5393ef677024a5e7e1a Mon Sep 17 00:00:00 2001
From: Yingchun Lai <laiyingchun@apache.org>
Date: Tue, 28 Jan 2025 10:52:01 +0800
Subject: [PATCH 087/217] refactor: reduce duplciate code by inheritance
 (#13073)

---
 .../text_embedding/text_embedding.py          | 196 +-----------------
 1 file changed, 9 insertions(+), 187 deletions(-)

diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py
index 40ea4dc011..b3d9167bc6 100644
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py
+++ b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py
@@ -1,29 +1,13 @@
-import json
-import time
-from decimal import Decimal
 from typing import Optional
-from urllib.parse import urljoin
-
-import numpy as np
-import requests
 
 from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    PriceConfig,
-    PriceType,
+from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
+from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
+    OAICompatEmbeddingModel,
 )
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
 
 
-class OAICompatEmbeddingModel(_CommonOaiApiCompat, TextEmbeddingModel):
+class PerfXCloudEmbeddingModel(OAICompatEmbeddingModel):
     """
     Model class for an OpenAI API-compatible text embedding model.
     """
@@ -47,86 +31,10 @@ class OAICompatEmbeddingModel(_CommonOaiApiCompat, TextEmbeddingModel):
         :return: embeddings result
         """
 
-        # Prepare headers and payload for the request
-        headers = {"Content-Type": "application/json"}
-
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-        endpoint_url: Optional[str]
         if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            endpoint_url = "https://cloud.perfxlab.cn/v1/"
-        else:
-            endpoint_url = credentials.get("endpoint_url")
-            assert endpoint_url is not None, "endpoint_url is required in credentials"
-            if not endpoint_url.endswith("/"):
-                endpoint_url += "/"
+            credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/"
 
-        assert isinstance(endpoint_url, str)
-        endpoint_url = urljoin(endpoint_url, "embeddings")
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-
-        extra_model_kwargs["encoding_format"] = "float"
-
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            # TODO: Optimize for better token estimation and chunking
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        for i in _iter:
-            # Prepare the payload for the request
-            payload = {"input": inputs[i : i + max_chunks], "model": model, **extra_model_kwargs}
-
-            # Make the request to the OpenAI API
-            response = requests.post(endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300))
-
-            response.raise_for_status()  # Raise an exception for HTTP errors
-            response_data = response.json()
-
-            # Extract embeddings and used tokens from the response
-            embeddings_batch = [data["embedding"] for data in response_data["data"]]
-            embedding_used_tokens = response_data["usage"]["total_tokens"]
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Approximate number of tokens for given messages using GPT2 tokenizer
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
+        return OAICompatEmbeddingModel._invoke(self, model, credentials, texts, user, input_type)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:
         """
@@ -136,93 +44,7 @@ class OAICompatEmbeddingModel(_CommonOaiApiCompat, TextEmbeddingModel):
         :param credentials: model credentials
         :return:
         """
-        try:
-            headers = {"Content-Type": "application/json"}
+        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
+            credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/"
 
-            api_key = credentials.get("api_key")
-
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            endpoint_url: Optional[str]
-            if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-                endpoint_url = "https://cloud.perfxlab.cn/v1/"
-            else:
-                endpoint_url = credentials.get("endpoint_url")
-                assert endpoint_url is not None, "endpoint_url is required in credentials"
-                if not endpoint_url.endswith("/"):
-                    endpoint_url += "/"
-
-            assert isinstance(endpoint_url, str)
-            endpoint_url = urljoin(endpoint_url, "embeddings")
-
-            payload = {"input": "ping", "model": model}
-
-            response = requests.post(url=endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300))
-
-            if response.status_code != 200:
-                raise CredentialsValidateFailedError(
-                    f"Credentials validation failed with status code {response.status_code}"
-                )
-
-            try:
-                json_result = response.json()
-            except json.JSONDecodeError as e:
-                raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error")
-
-            if "model" not in json_result:
-                raise CredentialsValidateFailedError("Credentials validation failed: invalid response")
-        except CredentialsValidateFailedError:
-            raise
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-                ModelPropertyKey.MAX_CHUNKS: 1,
-            },
-            parameter_rules=[],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        return entity
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
+        OAICompatEmbeddingModel.validate_credentials(self, model, credentials)

From d0a21086bd8d164c518f286674a64bc40104ce3b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Adem=C3=ADlson=20Tonato?= <ademilsonft@outlook.com>
Date: Wed, 29 Jan 2025 03:21:05 +0000
Subject: [PATCH 088/217] refactor: Update Firecrawl API parameters and default
 settings (#13082)

---
 .../rag/extractor/firecrawl/firecrawl_web_extractor.py |  3 ++-
 api/services/auth/firecrawl/firecrawl.py               |  4 ++--
 api/services/website_service.py                        | 10 ++++------
 .../core/rag/extractor/firecrawl/test_firecrawl.py     |  5 ++---
 4 files changed, 10 insertions(+), 12 deletions(-)

diff --git a/api/core/rag/extractor/firecrawl/firecrawl_web_extractor.py b/api/core/rag/extractor/firecrawl/firecrawl_web_extractor.py
index b33ce167c2..355a2fb204 100644
--- a/api/core/rag/extractor/firecrawl/firecrawl_web_extractor.py
+++ b/api/core/rag/extractor/firecrawl/firecrawl_web_extractor.py
@@ -13,9 +13,10 @@ class FirecrawlWebExtractor(BaseExtractor):
         api_key: The API key for Firecrawl.
         base_url: The base URL for the Firecrawl API. Defaults to 'https://api.firecrawl.dev'.
         mode: The mode of operation. Defaults to 'scrape'. Options are 'crawl', 'scrape' and 'crawl_return_urls'.
+        only_main_content: Only return the main content of the page excluding headers, navs, footers, etc.
     """
 
-    def __init__(self, url: str, job_id: str, tenant_id: str, mode: str = "crawl", only_main_content: bool = False):
+    def __init__(self, url: str, job_id: str, tenant_id: str, mode: str = "crawl", only_main_content: bool = True):
         """Initialize with url, api_key, base_url and mode."""
         self._url = url
         self.job_id = job_id
diff --git a/api/services/auth/firecrawl/firecrawl.py b/api/services/auth/firecrawl/firecrawl.py
index cc6eaaa42a..6ef034f292 100644
--- a/api/services/auth/firecrawl/firecrawl.py
+++ b/api/services/auth/firecrawl/firecrawl.py
@@ -21,8 +21,8 @@ class FirecrawlAuth(ApiKeyAuthBase):
         headers = self._prepare_headers()
         options = {
             "url": "https://example.com",
-            "excludes": [],
-            "includes": [],
+            "includePaths": [],
+            "excludePaths": [],
             "limit": 1,
             "scrapeOptions": {"onlyMainContent": True},
         }
diff --git a/api/services/website_service.py b/api/services/website_service.py
index b30e2205f7..85d32c9e8a 100644
--- a/api/services/website_service.py
+++ b/api/services/website_service.py
@@ -38,9 +38,8 @@ class WebsiteService:
             only_main_content = options.get("only_main_content", False)
             if not crawl_sub_pages:
                 params = {
-                    "includes": [],
-                    "excludes": [],
-                    "generateImgAltText": True,
+                    "includePaths": [],
+                    "excludePaths": [],
                     "limit": 1,
                     "scrapeOptions": {"onlyMainContent": only_main_content},
                 }
@@ -48,9 +47,8 @@ class WebsiteService:
                 includes = options.get("includes").split(",") if options.get("includes") else []
                 excludes = options.get("excludes").split(",") if options.get("excludes") else []
                 params = {
-                    "includes": includes,
-                    "excludes": excludes,
-                    "generateImgAltText": True,
+                    "includePaths": includes,
+                    "excludePaths": excludes,
                     "limit": options.get("limit", 1),
                     "scrapeOptions": {"onlyMainContent": only_main_content},
                 }
diff --git a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
index 120ca9c8ea..607728efd8 100644
--- a/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
+++ b/api/tests/unit_tests/core/rag/extractor/firecrawl/test_firecrawl.py
@@ -10,9 +10,8 @@ def test_firecrawl_web_extractor_crawl_mode(mocker):
     base_url = "https://api.firecrawl.dev"
     firecrawl_app = FirecrawlApp(api_key=api_key, base_url=base_url)
     params = {
-        "includes": [],
-        "excludes": [],
-        "generateImgAltText": True,
+        "includePaths": [],
+        "excludePaths": [],
         "maxDepth": 1,
         "limit": 1,
     }

From b4b09ddc3c2649a27d44b395ea1ba5823f9289c2 Mon Sep 17 00:00:00 2001
From: heyszt <36215648+hieheihei@users.noreply.github.com>
Date: Wed, 29 Jan 2025 11:58:01 +0800
Subject: [PATCH 089/217] add tongyi qwen2.5-14b/7b-instruct-1m model (#13089)

---
 .../model_providers/tongyi/llm/_position.yaml |  2 +
 .../tongyi/llm/qwen2.5-14b-instruct-1m.yaml   | 75 +++++++++++++++++++
 .../tongyi/llm/qwen2.5-7b-instruct-1m.yaml    | 75 +++++++++++++++++++
 3 files changed, 152 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml

diff --git a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
index 8ce336d60c..d7ba51e1d9 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
@@ -33,6 +33,8 @@
 - qwen2.5-3b-instruct
 - qwen2.5-1.5b-instruct
 - qwen2.5-0.5b-instruct
+- qwen2.5-14b-instruct-1m
+- qwen2.5-7b-instruct-1m
 - qwen2.5-coder-7b-instruct
 - qwen2-math-72b-instruct
 - qwen2-math-7b-instruct
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml
new file mode 100644
index 0000000000..c3d72ec47f
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml
@@ -0,0 +1,75 @@
+# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
+model: qwen2.5-14b-instruct-1m
+label:
+  en_US: qwen2.5-14b-instruct-1m
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 1000000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
+      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 0.8
+    min: 0.1
+    max: 0.9
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: top_k
+    type: int
+    min: 0
+    max: 99
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
+  - name: seed
+    required: false
+    type: int
+    default: 1234
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    help:
+      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
+      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
+  - name: repetition_penalty
+    required: false
+    type: float
+    default: 1.1
+    label:
+      zh_Hans: 重复惩罚
+      en_US: Repetition penalty
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.001'
+  output: '0.003'
+  unit: '0.001'
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml
new file mode 100644
index 0000000000..44968e54d2
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml
@@ -0,0 +1,75 @@
+# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
+model: qwen2.5-7b-instruct-1m
+label:
+  en_US: qwen2.5-7b-instruct-1m
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 1000000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
+      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 0.8
+    min: 0.1
+    max: 0.9
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: top_k
+    type: int
+    min: 0
+    max: 99
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
+  - name: seed
+    required: false
+    type: int
+    default: 1234
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    help:
+      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
+      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
+  - name: repetition_penalty
+    required: false
+    type: float
+    default: 1.1
+    label:
+      zh_Hans: 重复惩罚
+      en_US: Repetition penalty
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.0005'
+  output: '0.001'
+  unit: '0.001'
+  currency: RMB

From b09c39c8dc774178a81c4e805b0a925fd7319496 Mon Sep 17 00:00:00 2001
From: Yingchun Lai <laiyingchun@apache.org>
Date: Thu, 30 Jan 2025 15:08:29 +0800
Subject: [PATCH 090/217] refactor: avoid to use extra space when finding model
 by name (#13043)

---
 .../model_providers/__base/ai_model.py        | 11 +++++-----
 .../model_providers/cohere/llm/llm.py         | 17 ++++++++--------
 .../model_providers/openai/llm/llm.py         | 20 +++++++++----------
 3 files changed, 24 insertions(+), 24 deletions(-)

diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py
index e2b9560337..4cac66ac4a 100644
--- a/api/core/model_runtime/model_providers/__base/ai_model.py
+++ b/api/core/model_runtime/model_providers/__base/ai_model.py
@@ -221,13 +221,12 @@ class AIModel(ABC):
         :param credentials: model credentials
         :return: model schema
         """
-        # get predefined models (predefined_models)
-        models = self.predefined_models()
-
-        model_map = {model.model: model for model in models}
-        if model in model_map:
-            return model_map[model]
+        # Try to get model schema from predefined models
+        for predefined_model in self.predefined_models():
+            if model == predefined_model.model:
+                return predefined_model
 
+        # Try to get model schema from credentials
         if credentials:
             model_schema = self.get_customizable_model_schema_from_credentials(model, credentials)
             if model_schema:
diff --git a/api/core/model_runtime/model_providers/cohere/llm/llm.py b/api/core/model_runtime/model_providers/cohere/llm/llm.py
index f230157a34..a39eb56f71 100644
--- a/api/core/model_runtime/model_providers/cohere/llm/llm.py
+++ b/api/core/model_runtime/model_providers/cohere/llm/llm.py
@@ -677,16 +677,17 @@ class CohereLargeLanguageModel(LargeLanguageModel):
 
         :return: model schema
         """
-        # get model schema
-        models = self.predefined_models()
-        model_map = {model.model: model for model in models}
-
         mode = credentials.get("mode")
+        base_model_schema = None
+        for predefined_model in self.predefined_models():
+            if (
+                mode == "chat" and predefined_model.model == "command-light-chat"
+            ) or predefined_model.model == "command-light":
+                base_model_schema = predefined_model
+                break
 
-        if mode == "chat":
-            base_model_schema = model_map["command-light-chat"]
-        else:
-            base_model_schema = model_map["command-light"]
+        if not base_model_schema:
+            raise ValueError("Model not found")
 
         base_model_schema = cast(AIModelEntity, base_model_schema)
 
diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py
index 634dbc5535..0587202058 100644
--- a/api/core/model_runtime/model_providers/openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai/llm/llm.py
@@ -341,9 +341,6 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
         :param credentials: provider credentials
         :return:
         """
-        # get predefined models
-        predefined_models = self.predefined_models()
-        predefined_models_map = {model.model: model for model in predefined_models}
 
         # transform credentials to kwargs for model instance
         credentials_kwargs = self._to_credential_kwargs(credentials)
@@ -359,9 +356,10 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
             base_model = model.id.split(":")[1]
 
             base_model_schema = None
-            for predefined_model_name, predefined_model in predefined_models_map.items():
-                if predefined_model_name in base_model:
+            for predefined_model in self.predefined_models():
+                if predefined_model.model in base_model:
                     base_model_schema = predefined_model
+                    break
 
             if not base_model_schema:
                 continue
@@ -1186,12 +1184,14 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
             base_model = model.split(":")[1]
 
         # get model schema
-        models = self.predefined_models()
-        model_map = {model.model: model for model in models}
-        if base_model not in model_map:
-            raise ValueError(f"Base model {base_model} not found")
+        base_model_schema = None
+        for predefined_model in self.predefined_models():
+            if base_model == predefined_model.model:
+                base_model_schema = predefined_model
+                break
 
-        base_model_schema = model_map[base_model]
+        if not base_model_schema:
+            raise ValueError(f"Base model {base_model} not found")
 
         base_model_schema_features = base_model_schema.features or []
         base_model_schema_model_properties = base_model_schema.model_properties

From c0d0c63592bba0de5a8319376a53f3116dfa3193 Mon Sep 17 00:00:00 2001
From: Hash Brown <hi@xzd.me>
Date: Fri, 31 Jan 2025 13:05:10 +0800
Subject: [PATCH 091/217] feat: switch to chat messages before regenerated
 (#11301)

Co-authored-by: zuodongxu <192560071+zuodongxu@users.noreply.github.com>
---
 api/controllers/console/explore/message.py    |   2 +-
 api/controllers/web/message.py                |   2 +-
 .../debug-with-multiple-model/chat-item.tsx   |   5 +-
 .../debug/debug-with-single-model/index.tsx   |  34 +-
 .../chat/chat-with-history/chat-wrapper.tsx   |  41 +-
 .../base/chat/chat-with-history/context.tsx   |   6 +-
 .../base/chat/chat-with-history/hooks.tsx     |  37 +-
 .../base/chat/chat-with-history/index.tsx     |  12 +-
 .../base/chat/chat/answer/index.tsx           |  10 +-
 web/app/components/base/chat/chat/hooks.ts    | 555 +++++++++---------
 .../chat/embedded-chatbot/chat-wrapper.tsx    |  40 +-
 web/app/components/base/chat/types.ts         |   7 +-
 web/app/components/base/chat/utils.ts         |  65 +-
 .../panel/debug-and-preview/chat-wrapper.tsx  |  36 +-
 .../workflow/panel/debug-and-preview/hooks.ts | 303 +++++-----
 15 files changed, 576 insertions(+), 579 deletions(-)

diff --git a/api/controllers/console/explore/message.py b/api/controllers/console/explore/message.py
index 405d5ed607..ff12959a65 100644
--- a/api/controllers/console/explore/message.py
+++ b/api/controllers/console/explore/message.py
@@ -50,7 +50,7 @@ class MessageListApi(InstalledAppResource):
 
         try:
             return MessageService.pagination_by_first_id(
-                app_model, current_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
+                app_model, current_user, args["conversation_id"], args["first_id"], args["limit"]
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
diff --git a/api/controllers/web/message.py b/api/controllers/web/message.py
index 2afc11f601..e6e546690c 100644
--- a/api/controllers/web/message.py
+++ b/api/controllers/web/message.py
@@ -91,7 +91,7 @@ class MessageListApi(WebApiResource):
 
         try:
             return MessageService.pagination_by_first_id(
-                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
+                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
index 119db34b16..5d2f33a005 100644
--- a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx
@@ -67,7 +67,6 @@ const ChatItem: FC<ChatItemProps> = ({
   }, [modelConfig.configs.prompt_variables])
   const {
     chatList,
-    chatListRef,
     isResponding,
     handleSend,
     suggestedQuestions,
@@ -102,7 +101,7 @@ const ChatItem: FC<ChatItemProps> = ({
       query: message,
       inputs,
       model_config: configData,
-      parent_message_id: getLastAnswer(chatListRef.current)?.id || null,
+      parent_message_id: getLastAnswer(chatList)?.id || null,
     }
 
     if ((config.file_upload as any).enabled && files?.length && supportVision)
@@ -116,7 +115,7 @@ const ChatItem: FC<ChatItemProps> = ({
         onGetSuggestedQuestions: (responseItemId, getAbortController) => fetchSuggestedQuestions(appId, responseItemId, getAbortController),
       },
     )
-  }, [appId, config, handleSend, inputs, modelAndParameter, textGenerationModelList, chatListRef])
+  }, [appId, chatList, config, handleSend, inputs, modelAndParameter.model, modelAndParameter.parameters, modelAndParameter.provider, textGenerationModelList])
 
   const { eventEmitter } = useEventEmitterContextContext()
   eventEmitter?.useSubscription((v: any) => {
diff --git a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
index 48e1e55de4..2b3c3b8fe2 100644
--- a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx
@@ -12,7 +12,7 @@ import {
 import Chat from '@/app/components/base/chat/chat'
 import { useChat } from '@/app/components/base/chat/chat/hooks'
 import { useDebugConfigurationContext } from '@/context/debug-configuration'
-import type { ChatConfig, ChatItem, OnSend } from '@/app/components/base/chat/types'
+import type { ChatConfig, ChatItem, ChatItemInTree, OnSend } from '@/app/components/base/chat/types'
 import { useProviderContext } from '@/context/provider-context'
 import {
   fetchConversationMessages,
@@ -24,7 +24,7 @@ import { useAppContext } from '@/context/app-context'
 import { ModelFeatureEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import { useFeatures } from '@/app/components/base/features/hooks'
-import { getLastAnswer } from '@/app/components/base/chat/utils'
+import { getLastAnswer, isValidGeneratedAnswer } from '@/app/components/base/chat/utils'
 import type { InputForm } from '@/app/components/base/chat/chat/type'
 
 type DebugWithSingleModelProps = {
@@ -68,12 +68,11 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
   }, [modelConfig.configs.prompt_variables])
   const {
     chatList,
-    chatListRef,
+    setTargetMessageId,
     isResponding,
     handleSend,
     suggestedQuestions,
     handleStop,
-    handleUpdateChatList,
     handleRestart,
     handleAnnotationAdded,
     handleAnnotationEdited,
@@ -89,7 +88,7 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
   )
   useFormattingChangedSubscription(chatList)
 
-  const doSend: OnSend = useCallback((message, files, last_answer) => {
+  const doSend: OnSend = useCallback((message, files, isRegenerate = false, parentAnswer: ChatItem | null = null) => {
     if (checkCanSend && !checkCanSend())
       return
     const currentProvider = textGenerationModelList.find(item => item.provider === modelConfig.provider)
@@ -110,7 +109,7 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
       query: message,
       inputs,
       model_config: configData,
-      parent_message_id: last_answer?.id || getLastAnswer(chatListRef.current)?.id || null,
+      parent_message_id: (isRegenerate ? parentAnswer?.id : getLastAnswer(chatList)?.id) || null,
     }
 
     if ((config.file_upload as any)?.enabled && files?.length && supportVision)
@@ -124,23 +123,13 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
         onGetSuggestedQuestions: (responseItemId, getAbortController) => fetchSuggestedQuestions(appId, responseItemId, getAbortController),
       },
     )
-  }, [chatListRef, appId, checkCanSend, completionParams, config, handleSend, inputs, modelConfig, textGenerationModelList])
+  }, [appId, chatList, checkCanSend, completionParams, config, handleSend, inputs, modelConfig.mode, modelConfig.model_id, modelConfig.provider, textGenerationModelList])
 
-  const doRegenerate = useCallback((chatItem: ChatItem) => {
-    const index = chatList.findIndex(item => item.id === chatItem.id)
-    if (index === -1)
-      return
-
-    const prevMessages = chatList.slice(0, index)
-    const question = prevMessages.pop()
-    const lastAnswer = getLastAnswer(prevMessages)
-
-    if (!question)
-      return
-
-    handleUpdateChatList(prevMessages)
-    doSend(question.content, question.message_files, lastAnswer)
-  }, [chatList, handleUpdateChatList, doSend])
+  const doRegenerate = useCallback((chatItem: ChatItemInTree) => {
+    const question = chatList.find(item => item.id === chatItem.parentMessageId)!
+    const parentAnswer = chatList.find(item => item.id === question.parentMessageId)
+    doSend(question.content, question.message_files, true, isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null)
+  }, [chatList, doSend])
 
   const allToolIcons = useMemo(() => {
     const icons: Record<string, any> = {}
@@ -173,6 +162,7 @@ const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSi
       inputs={inputs}
       inputsForm={inputsForm}
       onRegenerate={doRegenerate}
+      switchSibling={siblingMessageId => setTargetMessageId(siblingMessageId)}
       onStopResponding={handleStop}
       showPromptLog
       questionIcon={<Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={40} />}
diff --git a/web/app/components/base/chat/chat-with-history/chat-wrapper.tsx b/web/app/components/base/chat/chat-with-history/chat-wrapper.tsx
index 724ef78e75..77259201ba 100644
--- a/web/app/components/base/chat/chat-with-history/chat-wrapper.tsx
+++ b/web/app/components/base/chat/chat-with-history/chat-wrapper.tsx
@@ -3,10 +3,11 @@ import Chat from '../chat'
 import type {
   ChatConfig,
   ChatItem,
+  ChatItemInTree,
   OnSend,
 } from '../types'
 import { useChat } from '../chat/hooks'
-import { getLastAnswer } from '../utils'
+import { getLastAnswer, isValidGeneratedAnswer } from '../utils'
 import { useChatWithHistoryContext } from './context'
 import Header from './header'
 import ConfigPanel from './config-panel'
@@ -20,7 +21,7 @@ import AnswerIcon from '@/app/components/base/answer-icon'
 const ChatWrapper = () => {
   const {
     appParams,
-    appPrevChatList,
+    appPrevChatTree,
     currentConversationId,
     currentConversationItem,
     inputsForms,
@@ -50,8 +51,7 @@ const ChatWrapper = () => {
   }, [appParams, currentConversationItem?.introduction, currentConversationId])
   const {
     chatList,
-    chatListRef,
-    handleUpdateChatList,
+    setTargetMessageId,
     handleSend,
     handleStop,
     isResponding,
@@ -62,7 +62,7 @@ const ChatWrapper = () => {
       inputs: (currentConversationId ? currentConversationItem?.inputs : newConversationInputs) as any,
       inputsForm: inputsForms,
     },
-    appPrevChatList,
+    appPrevChatTree,
     taskId => stopChatMessageResponding('', taskId, isInstalledApp, appId),
   )
 
@@ -72,13 +72,13 @@ const ChatWrapper = () => {
   // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [])
 
-  const doSend: OnSend = useCallback((message, files, last_answer) => {
+  const doSend: OnSend = useCallback((message, files, isRegenerate = false, parentAnswer: ChatItem | null = null) => {
     const data: any = {
       query: message,
       files,
       inputs: currentConversationId ? currentConversationItem?.inputs : newConversationInputs,
       conversation_id: currentConversationId,
-      parent_message_id: last_answer?.id || getLastAnswer(chatListRef.current)?.id || null,
+      parent_message_id: (isRegenerate ? parentAnswer?.id : getLastAnswer(chatList)?.id) || null,
     }
 
     handleSend(
@@ -91,31 +91,21 @@ const ChatWrapper = () => {
       },
     )
   }, [
-    chatListRef,
+    chatList,
+    handleNewConversationCompleted,
+    handleSend,
     currentConversationId,
     currentConversationItem,
-    handleSend,
     newConversationInputs,
-    handleNewConversationCompleted,
     isInstalledApp,
     appId,
   ])
 
-  const doRegenerate = useCallback((chatItem: ChatItem) => {
-    const index = chatList.findIndex(item => item.id === chatItem.id)
-    if (index === -1)
-      return
-
-    const prevMessages = chatList.slice(0, index)
-    const question = prevMessages.pop()
-    const lastAnswer = getLastAnswer(prevMessages)
-
-    if (!question)
-      return
-
-    handleUpdateChatList(prevMessages)
-    doSend(question.content, question.message_files, lastAnswer)
-  }, [chatList, handleUpdateChatList, doSend])
+  const doRegenerate = useCallback((chatItem: ChatItemInTree) => {
+    const question = chatList.find(item => item.id === chatItem.parentMessageId)!
+    const parentAnswer = chatList.find(item => item.id === question.parentMessageId)
+    doSend(question.content, question.message_files, true, isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null)
+  }, [chatList, doSend])
 
   const chatNode = useMemo(() => {
     if (inputsForms.length) {
@@ -187,6 +177,7 @@ const ChatWrapper = () => {
         answerIcon={answerIcon}
         hideProcessDetail
         themeBuilder={themeBuilder}
+        switchSibling={siblingMessageId => setTargetMessageId(siblingMessageId)}
       />
     </div>
   )
diff --git a/web/app/components/base/chat/chat-with-history/context.tsx b/web/app/components/base/chat/chat-with-history/context.tsx
index 060c178993..4b5817c726 100644
--- a/web/app/components/base/chat/chat-with-history/context.tsx
+++ b/web/app/components/base/chat/chat-with-history/context.tsx
@@ -5,7 +5,7 @@ import { createContext, useContext } from 'use-context-selector'
 import type {
   Callback,
   ChatConfig,
-  ChatItem,
+  ChatItemInTree,
   Feedback,
 } from '../types'
 import type { ThemeBuilder } from '../embedded-chatbot/theme/theme-context'
@@ -25,7 +25,7 @@ export type ChatWithHistoryContextValue = {
   appChatListDataLoading?: boolean
   currentConversationId: string
   currentConversationItem?: ConversationItem
-  appPrevChatList: ChatItem[]
+  appPrevChatTree: ChatItemInTree[]
   pinnedConversationList: AppConversationData['data']
   conversationList: AppConversationData['data']
   showConfigPanelBeforeChat: boolean
@@ -53,7 +53,7 @@ export type ChatWithHistoryContextValue = {
 
 export const ChatWithHistoryContext = createContext<ChatWithHistoryContextValue>({
   currentConversationId: '',
-  appPrevChatList: [],
+  appPrevChatTree: [],
   pinnedConversationList: [],
   conversationList: [],
   showConfigPanelBeforeChat: false,
diff --git a/web/app/components/base/chat/chat-with-history/hooks.tsx b/web/app/components/base/chat/chat-with-history/hooks.tsx
index a67cc3cd88..64dbb13acf 100644
--- a/web/app/components/base/chat/chat-with-history/hooks.tsx
+++ b/web/app/components/base/chat/chat-with-history/hooks.tsx
@@ -12,10 +12,13 @@ import produce from 'immer'
 import type {
   Callback,
   ChatConfig,
+  ChatItem,
   Feedback,
 } from '../types'
 import { CONVERSATION_ID_INFO } from '../constants'
-import { getPrevChatList } from '../utils'
+import { buildChatItemTree } from '../utils'
+import { addFileInfos, sortAgentSorts } from '../../../tools/utils'
+import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils'
 import {
   delConversation,
   fetchAppInfo,
@@ -40,6 +43,32 @@ import { useAppFavicon } from '@/hooks/use-app-favicon'
 import { InputVarType } from '@/app/components/workflow/types'
 import { TransferMethod } from '@/types/app'
 
+function getFormattedChatList(messages: any[]) {
+  const newChatList: ChatItem[] = []
+  messages.forEach((item) => {
+    const questionFiles = item.message_files?.filter((file: any) => file.belongs_to === 'user') || []
+    newChatList.push({
+      id: `question-${item.id}`,
+      content: item.query,
+      isAnswer: false,
+      message_files: getProcessedFilesFromResponse(questionFiles.map((item: any) => ({ ...item, related_id: item.id }))),
+      parentMessageId: item.parent_message_id || undefined,
+    })
+    const answerFiles = item.message_files?.filter((file: any) => file.belongs_to === 'assistant') || []
+    newChatList.push({
+      id: item.id,
+      content: item.answer,
+      agent_thoughts: addFileInfos(item.agent_thoughts ? sortAgentSorts(item.agent_thoughts) : item.agent_thoughts, item.message_files),
+      feedback: item.feedback,
+      isAnswer: true,
+      citation: item.retriever_resources,
+      message_files: getProcessedFilesFromResponse(answerFiles.map((item: any) => ({ ...item, related_id: item.id }))),
+      parentMessageId: `question-${item.id}`,
+    })
+  })
+  return newChatList
+}
+
 export const useChatWithHistory = (installedAppInfo?: InstalledApp) => {
   const isInstalledApp = useMemo(() => !!installedAppInfo, [installedAppInfo])
   const { data: appInfo, isLoading: appInfoLoading, error: appInfoError } = useSWR(installedAppInfo ? null : 'appInfo', fetchAppInfo)
@@ -109,9 +138,9 @@ export const useChatWithHistory = (installedAppInfo?: InstalledApp) => {
   const { data: appConversationData, isLoading: appConversationDataLoading, mutate: mutateAppConversationData } = useSWR(['appConversationData', isInstalledApp, appId, false], () => fetchConversations(isInstalledApp, appId, undefined, false, 100))
   const { data: appChatListData, isLoading: appChatListDataLoading } = useSWR(chatShouldReloadKey ? ['appChatList', chatShouldReloadKey, isInstalledApp, appId] : null, () => fetchChatList(chatShouldReloadKey, isInstalledApp, appId))
 
-  const appPrevChatList = useMemo(
+  const appPrevChatTree = useMemo(
     () => (currentConversationId && appChatListData?.data.length)
-      ? getPrevChatList(appChatListData.data)
+      ? buildChatItemTree(getFormattedChatList(appChatListData.data))
       : [],
     [appChatListData, currentConversationId],
   )
@@ -403,7 +432,7 @@ export const useChatWithHistory = (installedAppInfo?: InstalledApp) => {
     appConversationDataLoading,
     appChatListData,
     appChatListDataLoading,
-    appPrevChatList,
+    appPrevChatTree,
     pinnedConversationList,
     conversationList,
     showConfigPanelBeforeChat,
diff --git a/web/app/components/base/chat/chat-with-history/index.tsx b/web/app/components/base/chat/chat-with-history/index.tsx
index 16524406d4..7282dd4216 100644
--- a/web/app/components/base/chat/chat-with-history/index.tsx
+++ b/web/app/components/base/chat/chat-with-history/index.tsx
@@ -30,7 +30,7 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
     appInfoError,
     appData,
     appInfoLoading,
-    appPrevChatList,
+    appPrevChatTree,
     showConfigPanelBeforeChat,
     appChatListDataLoading,
     chatShouldReloadKey,
@@ -38,7 +38,7 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
     themeBuilder,
   } = useChatWithHistoryContext()
 
-  const chatReady = (!showConfigPanelBeforeChat || !!appPrevChatList.length)
+  const chatReady = (!showConfigPanelBeforeChat || !!appPrevChatTree.length)
   const customConfig = appData?.custom_config
   const site = appData?.site
 
@@ -76,9 +76,9 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
           <HeaderInMobile />
         )
       }
-      <div className={`grow overflow-hidden ${showConfigPanelBeforeChat && !appPrevChatList.length && 'flex items-center justify-center'}`}>
+      <div className={`grow overflow-hidden ${showConfigPanelBeforeChat && !appPrevChatTree.length && 'flex items-center justify-center'}`}>
         {
-          showConfigPanelBeforeChat && !appChatListDataLoading && !appPrevChatList.length && (
+          showConfigPanelBeforeChat && !appChatListDataLoading && !appPrevChatTree.length && (
             <div className={`flex w-full items-center justify-center h-full ${isMobile && 'px-4'}`}>
               <ConfigPanel />
             </div>
@@ -120,7 +120,7 @@ const ChatWithHistoryWrap: FC<ChatWithHistoryWrapProps> = ({
     appChatListDataLoading,
     currentConversationId,
     currentConversationItem,
-    appPrevChatList,
+    appPrevChatTree,
     pinnedConversationList,
     conversationList,
     showConfigPanelBeforeChat,
@@ -154,7 +154,7 @@ const ChatWithHistoryWrap: FC<ChatWithHistoryWrapProps> = ({
       appChatListDataLoading,
       currentConversationId,
       currentConversationItem,
-      appPrevChatList,
+      appPrevChatTree,
       pinnedConversationList,
       conversationList,
       showConfigPanelBeforeChat,
diff --git a/web/app/components/base/chat/chat/answer/index.tsx b/web/app/components/base/chat/chat/answer/index.tsx
index 2ceaf81e78..3217a3f4dd 100644
--- a/web/app/components/base/chat/chat/answer/index.tsx
+++ b/web/app/components/base/chat/chat/answer/index.tsx
@@ -209,19 +209,19 @@ const Answer: FC<AnswerProps> = ({
             }
             {item.siblingCount && item.siblingCount > 1 && item.siblingIndex !== undefined && <div className="pt-3.5 flex justify-center items-center text-sm">
               <button
-                className={`${item.prevSibling ? 'opacity-100' : 'opacity-65'}`}
+                className={`${item.prevSibling ? 'opacity-100' : 'opacity-30'}`}
                 disabled={!item.prevSibling}
                 onClick={() => item.prevSibling && switchSibling?.(item.prevSibling)}
               >
-                <ChevronRight className="w-[14px] h-[14px] rotate-180 text-text-tertiary" />
+                <ChevronRight className="w-[14px] h-[14px] rotate-180 text-text-primary" />
               </button>
-              <span className="px-2 text-xs text-text-quaternary">{item.siblingIndex + 1} / {item.siblingCount}</span>
+              <span className="px-2 text-xs text-text-primary">{item.siblingIndex + 1} / {item.siblingCount}</span>
               <button
-                className={`${item.nextSibling ? 'opacity-100' : 'opacity-65'}`}
+                className={`${item.nextSibling ? 'opacity-100' : 'opacity-30'}`}
                 disabled={!item.nextSibling}
                 onClick={() => item.nextSibling && switchSibling?.(item.nextSibling)}
               >
-                <ChevronRight className="w-[14px] h-[14px] text-text-tertiary" />
+                <ChevronRight className="w-[14px] h-[14px] text-text-primary" />
               </button>
             </div>}
           </div>
diff --git a/web/app/components/base/chat/chat/hooks.ts b/web/app/components/base/chat/chat/hooks.ts
index fa923ca009..bcd08c8ce6 100644
--- a/web/app/components/base/chat/chat/hooks.ts
+++ b/web/app/components/base/chat/chat/hooks.ts
@@ -1,6 +1,7 @@
 import {
   useCallback,
   useEffect,
+  useMemo,
   useRef,
   useState,
 } from 'react'
@@ -12,8 +13,10 @@ import { v4 as uuidV4 } from 'uuid'
 import type {
   ChatConfig,
   ChatItem,
+  ChatItemInTree,
   Inputs,
 } from '../types'
+import { getThreadMessages } from '../utils'
 import type { InputForm } from './type'
 import {
   getProcessedInputs,
@@ -46,7 +49,7 @@ export const useChat = (
     inputs: Inputs
     inputsForm: InputForm[]
   },
-  prevChatList?: ChatItem[],
+  prevChatTree?: ChatItemInTree[],
   stopChat?: (taskId: string) => void,
 ) => {
   const { t } = useTranslation()
@@ -56,14 +59,48 @@ export const useChat = (
   const hasStopResponded = useRef(false)
   const [isResponding, setIsResponding] = useState(false)
   const isRespondingRef = useRef(false)
-  const [chatList, setChatList] = useState<ChatItem[]>(prevChatList || [])
-  const chatListRef = useRef<ChatItem[]>(prevChatList || [])
   const taskIdRef = useRef('')
   const [suggestedQuestions, setSuggestQuestions] = useState<string[]>([])
   const conversationMessagesAbortControllerRef = useRef<AbortController | null>(null)
   const suggestedQuestionsAbortControllerRef = useRef<AbortController | null>(null)
   const params = useParams()
   const pathname = usePathname()
+
+  const [chatTree, setChatTree] = useState<ChatItemInTree[]>(prevChatTree || [])
+  const chatTreeRef = useRef<ChatItemInTree[]>(chatTree)
+  const [targetMessageId, setTargetMessageId] = useState<string>()
+  const threadMessages = useMemo(() => getThreadMessages(chatTree, targetMessageId), [chatTree, targetMessageId])
+
+  const getIntroduction = useCallback((str: string) => {
+    return processOpeningStatement(str, formSettings?.inputs || {}, formSettings?.inputsForm || [])
+  }, [formSettings?.inputs, formSettings?.inputsForm])
+
+  /** Final chat list that will be rendered */
+  const chatList = useMemo(() => {
+    const ret = [...threadMessages]
+    if (config?.opening_statement) {
+      const index = threadMessages.findIndex(item => item.isOpeningStatement)
+
+      if (index > -1) {
+        ret[index] = {
+          ...ret[index],
+          content: getIntroduction(config.opening_statement),
+          suggestedQuestions: config.suggested_questions,
+        }
+      }
+      else {
+        ret.unshift({
+          id: `${Date.now()}`,
+          content: getIntroduction(config.opening_statement),
+          isAnswer: true,
+          isOpeningStatement: true,
+          suggestedQuestions: config.suggested_questions,
+        })
+      }
+    }
+    return ret
+  }, [threadMessages, config?.opening_statement, getIntroduction, config?.suggested_questions])
+
   useEffect(() => {
     setAutoFreeze(false)
     return () => {
@@ -71,43 +108,50 @@ export const useChat = (
     }
   }, [])
 
-  const handleUpdateChatList = useCallback((newChatList: ChatItem[]) => {
-    setChatList(newChatList)
-    chatListRef.current = newChatList
+  /** Find the target node by bfs and then operate on it */
+  const produceChatTreeNode = useCallback((targetId: string, operation: (node: ChatItemInTree) => void) => {
+    return produce(chatTreeRef.current, (draft) => {
+      const queue: ChatItemInTree[] = [...draft]
+      while (queue.length > 0) {
+        const current = queue.shift()!
+        if (current.id === targetId) {
+          operation(current)
+          break
+        }
+        if (current.children)
+          queue.push(...current.children)
+      }
+    })
   }, [])
+
+  type UpdateChatTreeNode = {
+    (id: string, fields: Partial<ChatItemInTree>): void
+    (id: string, update: (node: ChatItemInTree) => void): void
+  }
+
+  const updateChatTreeNode: UpdateChatTreeNode = useCallback((
+    id: string,
+    fieldsOrUpdate: Partial<ChatItemInTree> | ((node: ChatItemInTree) => void),
+  ) => {
+    const nextState = produceChatTreeNode(id, (node) => {
+      if (typeof fieldsOrUpdate === 'function') {
+        fieldsOrUpdate(node)
+      }
+      else {
+        Object.keys(fieldsOrUpdate).forEach((key) => {
+          (node as any)[key] = (fieldsOrUpdate as any)[key]
+        })
+      }
+    })
+    setChatTree(nextState)
+    chatTreeRef.current = nextState
+  }, [produceChatTreeNode])
+
   const handleResponding = useCallback((isResponding: boolean) => {
     setIsResponding(isResponding)
     isRespondingRef.current = isResponding
   }, [])
 
-  const getIntroduction = useCallback((str: string) => {
-    return processOpeningStatement(str, formSettings?.inputs || {}, formSettings?.inputsForm || [])
-  }, [formSettings?.inputs, formSettings?.inputsForm])
-  useEffect(() => {
-    if (config?.opening_statement) {
-      handleUpdateChatList(produce(chatListRef.current, (draft) => {
-        const index = draft.findIndex(item => item.isOpeningStatement)
-
-        if (index > -1) {
-          draft[index] = {
-            ...draft[index],
-            content: getIntroduction(config.opening_statement),
-            suggestedQuestions: config.suggested_questions,
-          }
-        }
-        else {
-          draft.unshift({
-            id: `${Date.now()}`,
-            content: getIntroduction(config.opening_statement),
-            isAnswer: true,
-            isOpeningStatement: true,
-            suggestedQuestions: config.suggested_questions,
-          })
-        }
-      }))
-    }
-  }, [config?.opening_statement, getIntroduction, config?.suggested_questions, handleUpdateChatList])
-
   const handleStop = useCallback(() => {
     hasStopResponded.current = true
     handleResponding(false)
@@ -123,50 +167,50 @@ export const useChat = (
     conversationId.current = ''
     taskIdRef.current = ''
     handleStop()
-    const newChatList = config?.opening_statement
-      ? [{
-        id: `${Date.now()}`,
-        content: config.opening_statement,
-        isAnswer: true,
-        isOpeningStatement: true,
-        suggestedQuestions: config.suggested_questions,
-      }]
-      : []
-    handleUpdateChatList(newChatList)
+    setChatTree([])
     setSuggestQuestions([])
-  }, [
-    config,
-    handleStop,
-    handleUpdateChatList,
-  ])
+  }, [handleStop])
 
-  const updateCurrentQA = useCallback(({
+  const updateCurrentQAOnTree = useCallback(({
+    parentId,
     responseItem,
-    questionId,
-    placeholderAnswerId,
+    placeholderQuestionId,
     questionItem,
   }: {
+    parentId?: string
     responseItem: ChatItem
-    questionId: string
-    placeholderAnswerId: string
+    placeholderQuestionId: string
     questionItem: ChatItem
   }) => {
-    const newListWithAnswer = produce(
-      chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId),
-      (draft) => {
-        if (!draft.find(item => item.id === questionId))
-          draft.push({ ...questionItem })
-
-        draft.push({ ...responseItem })
+    let nextState: ChatItemInTree[]
+    const currentQA = { ...questionItem, children: [{ ...responseItem, children: [] }] }
+    if (!parentId && !chatTree.some(item => [placeholderQuestionId, questionItem.id].includes(item.id))) {
+      // QA whose parent is not provided is considered as a first message of the conversation,
+      // and it should be a root node of the chat tree
+      nextState = produce(chatTree, (draft) => {
+        draft.push(currentQA)
       })
-    handleUpdateChatList(newListWithAnswer)
-  }, [handleUpdateChatList])
+    }
+    else {
+      // find the target QA in the tree and update it; if not found, insert it to its parent node
+      nextState = produceChatTreeNode(parentId!, (parentNode) => {
+        const questionNodeIndex = parentNode.children!.findIndex(item => [placeholderQuestionId, questionItem.id].includes(item.id))
+        if (questionNodeIndex === -1)
+          parentNode.children!.push(currentQA)
+        else
+          parentNode.children![questionNodeIndex] = currentQA
+      })
+    }
+    setChatTree(nextState)
+    chatTreeRef.current = nextState
+  }, [chatTree, produceChatTreeNode])
 
   const handleSend = useCallback(async (
     url: string,
     data: {
       query: string
       files?: FileEntity[]
+      parent_message_id?: string
       [key: string]: any
     },
     {
@@ -183,12 +227,15 @@ export const useChat = (
       return false
     }
 
-    const questionId = `question-${Date.now()}`
+    const parentMessage = threadMessages.find(item => item.id === data.parent_message_id)
+
+    const placeholderQuestionId = `question-${Date.now()}`
     const questionItem = {
-      id: questionId,
+      id: placeholderQuestionId,
       content: data.query,
       isAnswer: false,
       message_files: data.files,
+      parentMessageId: data.parent_message_id,
     }
 
     const placeholderAnswerId = `answer-placeholder-${Date.now()}`
@@ -196,18 +243,27 @@ export const useChat = (
       id: placeholderAnswerId,
       content: '',
       isAnswer: true,
+      parentMessageId: questionItem.id,
+      siblingIndex: parentMessage?.children?.length ?? chatTree.length,
     }
 
-    const newList = [...chatListRef.current, questionItem, placeholderAnswerItem]
-    handleUpdateChatList(newList)
+    setTargetMessageId(parentMessage?.id)
+    updateCurrentQAOnTree({
+      parentId: data.parent_message_id,
+      responseItem: placeholderAnswerItem,
+      placeholderQuestionId,
+      questionItem,
+    })
 
     // answer
-    const responseItem: ChatItem = {
+    const responseItem: ChatItemInTree = {
       id: placeholderAnswerId,
       content: '',
       agent_thoughts: [],
       message_files: [],
       isAnswer: true,
+      parentMessageId: questionItem.id,
+      siblingIndex: parentMessage?.children?.length ?? chatTree.length,
     }
 
     handleResponding(true)
@@ -268,7 +324,9 @@ export const useChat = (
           }
 
           if (messageId && !hasSetResponseId) {
+            questionItem.id = `question-${messageId}`
             responseItem.id = messageId
+            responseItem.parentMessageId = questionItem.id
             hasSetResponseId = true
           }
 
@@ -279,11 +337,11 @@ export const useChat = (
           if (messageId)
             responseItem.id = messageId
 
-          updateCurrentQA({
-            responseItem,
-            questionId,
-            placeholderAnswerId,
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
             questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
           })
         },
         async onCompleted(hasError?: boolean) {
@@ -304,43 +362,32 @@ export const useChat = (
             if (!newResponseItem)
               return
 
-            const newChatList = produce(chatListRef.current, (draft) => {
-              const index = draft.findIndex(item => item.id === responseItem.id)
-              if (index !== -1) {
-                const question = draft[index - 1]
-                draft[index - 1] = {
-                  ...question,
-                }
-                draft[index] = {
-                  ...draft[index],
-                  content: newResponseItem.answer,
-                  log: [
-                    ...newResponseItem.message,
-                    ...(newResponseItem.message[newResponseItem.message.length - 1].role !== 'assistant'
-                      ? [
-                        {
-                          role: 'assistant',
-                          text: newResponseItem.answer,
-                          files: newResponseItem.message_files?.filter((file: any) => file.belongs_to === 'assistant') || [],
-                        },
-                      ]
-                      : []),
-                  ],
-                  more: {
-                    time: formatTime(newResponseItem.created_at, 'hh:mm A'),
-                    tokens: newResponseItem.answer_tokens + newResponseItem.message_tokens,
-                    latency: newResponseItem.provider_response_latency.toFixed(2),
-                  },
-                  // for agent log
-                  conversationId: conversationId.current,
-                  input: {
-                    inputs: newResponseItem.inputs,
-                    query: newResponseItem.query,
-                  },
-                }
-              }
+            updateChatTreeNode(responseItem.id, {
+              content: newResponseItem.answer,
+              log: [
+                ...newResponseItem.message,
+                ...(newResponseItem.message[newResponseItem.message.length - 1].role !== 'assistant'
+                  ? [
+                    {
+                      role: 'assistant',
+                      text: newResponseItem.answer,
+                      files: newResponseItem.message_files?.filter((file: any) => file.belongs_to === 'assistant') || [],
+                    },
+                  ]
+                  : []),
+              ],
+              more: {
+                time: formatTime(newResponseItem.created_at, 'hh:mm A'),
+                tokens: newResponseItem.answer_tokens + newResponseItem.message_tokens,
+                latency: newResponseItem.provider_response_latency.toFixed(2),
+              },
+              // for agent log
+              conversationId: conversationId.current,
+              input: {
+                inputs: newResponseItem.inputs,
+                query: newResponseItem.query,
+              },
             })
-            handleUpdateChatList(newChatList)
           }
           if (config?.suggested_questions_after_answer?.enabled && !hasStopResponded.current && onGetSuggestedQuestions) {
             try {
@@ -360,11 +407,11 @@ export const useChat = (
           if (lastThought)
             responseItem.agent_thoughts![responseItem.agent_thoughts!.length - 1].message_files = [...(lastThought as any).message_files, file]
 
-          updateCurrentQA({
-            responseItem,
-            questionId,
-            placeholderAnswerId,
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
             questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
           })
         },
         onThought(thought) {
@@ -372,6 +419,7 @@ export const useChat = (
           const response = responseItem as any
           if (thought.message_id && !hasSetResponseId)
             response.id = thought.message_id
+
           if (response.agent_thoughts.length === 0) {
             response.agent_thoughts.push(thought)
           }
@@ -387,11 +435,11 @@ export const useChat = (
               responseItem.agent_thoughts!.push(thought)
             }
           }
-          updateCurrentQA({
-            responseItem,
-            questionId,
-            placeholderAnswerId,
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
             questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
           })
         },
         onMessageEnd: (messageEnd) => {
@@ -401,43 +449,36 @@ export const useChat = (
               id: messageEnd.metadata.annotation_reply.id,
               authorName: messageEnd.metadata.annotation_reply.account.name,
             })
-            const baseState = chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId)
-            const newListWithAnswer = produce(
-              baseState,
-              (draft) => {
-                if (!draft.find(item => item.id === questionId))
-                  draft.push({ ...questionItem })
-
-                draft.push({
-                  ...responseItem,
-                })
-              })
-            handleUpdateChatList(newListWithAnswer)
+            updateCurrentQAOnTree({
+              placeholderQuestionId,
+              questionItem,
+              responseItem,
+              parentId: data.parent_message_id,
+            })
             return
           }
           responseItem.citation = messageEnd.metadata?.retriever_resources || []
           const processedFilesFromResponse = getProcessedFilesFromResponse(messageEnd.files || [])
           responseItem.allFiles = uniqBy([...(responseItem.allFiles || []), ...(processedFilesFromResponse || [])], 'id')
 
-          const newListWithAnswer = produce(
-            chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId),
-            (draft) => {
-              if (!draft.find(item => item.id === questionId))
-                draft.push({ ...questionItem })
-
-              draft.push({ ...responseItem })
-            })
-          handleUpdateChatList(newListWithAnswer)
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
         onMessageReplace: (messageReplace) => {
           responseItem.content = messageReplace.answer
         },
         onError() {
           handleResponding(false)
-          const newChatList = produce(chatListRef.current, (draft) => {
-            draft.splice(draft.findIndex(item => item.id === placeholderAnswerId), 1)
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
           })
-          handleUpdateChatList(newChatList)
         },
         onWorkflowStarted: ({ workflow_run_id, task_id }) => {
           taskIdRef.current = task_id
@@ -446,89 +487,84 @@ export const useChat = (
             status: WorkflowRunningStatus.Running,
             tracing: [],
           }
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
-        onWorkflowFinished: ({ data }) => {
-          responseItem.workflowProcess!.status = data.status as WorkflowRunningStatus
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+        onWorkflowFinished: ({ data: workflowFinishedData }) => {
+          responseItem.workflowProcess!.status = workflowFinishedData.status as WorkflowRunningStatus
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
-        onIterationStart: ({ data }) => {
+        onIterationStart: ({ data: iterationStartedData }) => {
           responseItem.workflowProcess!.tracing!.push({
-            ...data,
+            ...iterationStartedData,
             status: WorkflowRunningStatus.Running,
           } as any)
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
-        onIterationFinish: ({ data }) => {
+        onIterationFinish: ({ data: iterationFinishedData }) => {
           const tracing = responseItem.workflowProcess!.tracing!
-          const iterationIndex = tracing.findIndex(item => item.node_id === data.node_id
-            && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))!
+          const iterationIndex = tracing.findIndex(item => item.node_id === iterationFinishedData.node_id
+            && (item.execution_metadata?.parallel_id === iterationFinishedData.execution_metadata?.parallel_id || item.parallel_id === iterationFinishedData.execution_metadata?.parallel_id))!
           tracing[iterationIndex] = {
             ...tracing[iterationIndex],
-            ...data,
+            ...iterationFinishedData,
             status: WorkflowRunningStatus.Succeeded,
           } as any
 
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
-        onNodeStarted: ({ data }) => {
-          if (data.iteration_id)
+        onNodeStarted: ({ data: nodeStartedData }) => {
+          if (nodeStartedData.iteration_id)
             return
 
           responseItem.workflowProcess!.tracing!.push({
-            ...data,
+            ...nodeStartedData,
             status: WorkflowRunningStatus.Running,
           } as any)
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
+          })
         },
-        onNodeFinished: ({ data }) => {
-          if (data.iteration_id)
+        onNodeFinished: ({ data: nodeFinishedData }) => {
+          if (nodeFinishedData.iteration_id)
             return
 
           const currentIndex = responseItem.workflowProcess!.tracing!.findIndex((item) => {
             if (!item.execution_metadata?.parallel_id)
-              return item.node_id === data.node_id
+              return item.node_id === nodeFinishedData.node_id
 
-            return item.node_id === data.node_id && (item.execution_metadata?.parallel_id === data.execution_metadata.parallel_id)
+            return item.node_id === nodeFinishedData.node_id && (item.execution_metadata?.parallel_id === nodeFinishedData.execution_metadata.parallel_id)
+          })
+          responseItem.workflowProcess!.tracing[currentIndex] = nodeFinishedData as any
+
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: data.parent_message_id,
           })
-          responseItem.workflowProcess!.tracing[currentIndex] = data as any
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
         },
         onTTSChunk: (messageId: string, audio: string) => {
           if (!audio || audio === '')
@@ -542,11 +578,13 @@ export const useChat = (
       })
     return true
   }, [
-    config?.suggested_questions_after_answer,
-    updateCurrentQA,
     t,
+    chatTree.length,
+    threadMessages,
+    config?.suggested_questions_after_answer,
+    updateCurrentQAOnTree,
+    updateChatTreeNode,
     notify,
-    handleUpdateChatList,
     handleResponding,
     formatTime,
     params.token,
@@ -556,76 +594,61 @@ export const useChat = (
   ])
 
   const handleAnnotationEdited = useCallback((query: string, answer: string, index: number) => {
-    handleUpdateChatList(chatListRef.current.map((item, i) => {
-      if (i === index - 1) {
-        return {
-          ...item,
-          content: query,
-        }
-      }
-      if (i === index) {
-        return {
-          ...item,
-          content: answer,
-          annotation: {
-            ...item.annotation,
-            logAnnotation: undefined,
-          } as any,
-        }
-      }
-      return item
-    }))
-  }, [handleUpdateChatList])
+    const targetQuestionId = chatList[index - 1].id
+    const targetAnswerId = chatList[index].id
+
+    updateChatTreeNode(targetQuestionId, {
+      content: query,
+    })
+    updateChatTreeNode(targetAnswerId, {
+      content: answer,
+      annotation: {
+        ...chatList[index].annotation,
+        logAnnotation: undefined,
+      } as any,
+    })
+  }, [chatList, updateChatTreeNode])
+
   const handleAnnotationAdded = useCallback((annotationId: string, authorName: string, query: string, answer: string, index: number) => {
-    handleUpdateChatList(chatListRef.current.map((item, i) => {
-      if (i === index - 1) {
-        return {
-          ...item,
-          content: query,
-        }
-      }
-      if (i === index) {
-        const answerItem = {
-          ...item,
-          content: item.content,
-          annotation: {
-            id: annotationId,
-            authorName,
-            logAnnotation: {
-              content: answer,
-              account: {
-                id: '',
-                name: authorName,
-                email: '',
-              },
-            },
-          } as Annotation,
-        }
-        return answerItem
-      }
-      return item
-    }))
-  }, [handleUpdateChatList])
-  const handleAnnotationRemoved = useCallback((index: number) => {
-    handleUpdateChatList(chatListRef.current.map((item, i) => {
-      if (i === index) {
-        return {
-          ...item,
-          content: item.content,
-          annotation: {
-            ...(item.annotation || {}),
+    const targetQuestionId = chatList[index - 1].id
+    const targetAnswerId = chatList[index].id
+
+    updateChatTreeNode(targetQuestionId, {
+      content: query,
+    })
+
+    updateChatTreeNode(targetAnswerId, {
+      content: chatList[index].content,
+      annotation: {
+        id: annotationId,
+        authorName,
+        logAnnotation: {
+          content: answer,
+          account: {
             id: '',
-          } as Annotation,
-        }
-      }
-      return item
-    }))
-  }, [handleUpdateChatList])
+            name: authorName,
+            email: '',
+          },
+        },
+      } as Annotation,
+    })
+  }, [chatList, updateChatTreeNode])
+
+  const handleAnnotationRemoved = useCallback((index: number) => {
+    const targetAnswerId = chatList[index].id
+
+    updateChatTreeNode(targetAnswerId, {
+      content: chatList[index].content,
+      annotation: {
+        ...(chatList[index].annotation || {}),
+        id: '',
+      } as Annotation,
+    })
+  }, [chatList, updateChatTreeNode])
 
   return {
     chatList,
-    chatListRef,
-    handleUpdateChatList,
+    setTargetMessageId,
     conversationId: conversationId.current,
     isResponding,
     setIsResponding,
diff --git a/web/app/components/base/chat/embedded-chatbot/chat-wrapper.tsx b/web/app/components/base/chat/embedded-chatbot/chat-wrapper.tsx
index 04f65b549c..8d0af02f8f 100644
--- a/web/app/components/base/chat/embedded-chatbot/chat-wrapper.tsx
+++ b/web/app/components/base/chat/embedded-chatbot/chat-wrapper.tsx
@@ -3,10 +3,11 @@ import Chat from '../chat'
 import type {
   ChatConfig,
   ChatItem,
+  ChatItemInTree,
   OnSend,
 } from '../types'
 import { useChat } from '../chat/hooks'
-import { getLastAnswer } from '../utils'
+import { getLastAnswer, isValidGeneratedAnswer } from '../utils'
 import { useEmbeddedChatbotContext } from './context'
 import ConfigPanel from './config-panel'
 import { isDify } from './utils'
@@ -51,13 +52,12 @@ const ChatWrapper = () => {
     } as ChatConfig
   }, [appParams, currentConversationItem?.introduction, currentConversationId])
   const {
-    chatListRef,
     chatList,
+    setTargetMessageId,
     handleSend,
     handleStop,
     isResponding,
     suggestedQuestions,
-    handleUpdateChatList,
   } = useChat(
     appConfig,
     {
@@ -71,15 +71,15 @@ const ChatWrapper = () => {
   useEffect(() => {
     if (currentChatInstanceRef.current)
       currentChatInstanceRef.current.handleStop = handleStop
-  }, [])
+  }, [currentChatInstanceRef, handleStop])
 
-  const doSend: OnSend = useCallback((message, files, last_answer) => {
+  const doSend: OnSend = useCallback((message, files, isRegenerate = false, parentAnswer: ChatItem | null = null) => {
     const data: any = {
       query: message,
       files,
       inputs: currentConversationId ? currentConversationItem?.inputs : newConversationInputs,
       conversation_id: currentConversationId,
-      parent_message_id: last_answer?.id || getLastAnswer(chatListRef.current)?.id || null,
+      parent_message_id: (isRegenerate ? parentAnswer?.id : getLastAnswer(chatList)?.id) || null,
     }
 
     handleSend(
@@ -92,32 +92,21 @@ const ChatWrapper = () => {
       },
     )
   }, [
-    chatListRef,
-    appConfig,
+    chatList,
+    handleNewConversationCompleted,
+    handleSend,
     currentConversationId,
     currentConversationItem,
-    handleSend,
     newConversationInputs,
-    handleNewConversationCompleted,
     isInstalledApp,
     appId,
   ])
 
-  const doRegenerate = useCallback((chatItem: ChatItem) => {
-    const index = chatList.findIndex(item => item.id === chatItem.id)
-    if (index === -1)
-      return
-
-    const prevMessages = chatList.slice(0, index)
-    const question = prevMessages.pop()
-    const lastAnswer = getLastAnswer(prevMessages)
-
-    if (!question)
-      return
-
-    handleUpdateChatList(prevMessages)
-    doSend(question.content, question.message_files, lastAnswer)
-  }, [chatList, handleUpdateChatList, doSend])
+  const doRegenerate = useCallback((chatItem: ChatItemInTree) => {
+    const question = chatList.find(item => item.id === chatItem.parentMessageId)!
+    const parentAnswer = chatList.find(item => item.id === question.parentMessageId)
+    doSend(question.content, question.message_files, true, isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null)
+  }, [chatList, doSend])
 
   const chatNode = useMemo(() => {
     if (inputsForms.length) {
@@ -172,6 +161,7 @@ const ChatWrapper = () => {
       answerIcon={answerIcon}
       hideProcessDetail
       themeBuilder={themeBuilder}
+      switchSibling={siblingMessageId => setTargetMessageId(siblingMessageId)}
     />
   )
 }
diff --git a/web/app/components/base/chat/types.ts b/web/app/components/base/chat/types.ts
index 8d9dacdcd7..851c82d8e4 100644
--- a/web/app/components/base/chat/types.ts
+++ b/web/app/components/base/chat/types.ts
@@ -67,9 +67,12 @@ export type ChatItem = IChatItem & {
 
 export type ChatItemInTree = {
   children?: ChatItemInTree[]
-} & IChatItem
+} & ChatItem
 
-export type OnSend = (message: string, files?: FileEntity[], last_answer?: ChatItem | null) => void
+export type OnSend = {
+  (message: string, files?: FileEntity[]): void
+  (message: string, files: FileEntity[] | undefined, isRegenerate: boolean, lastAnswer?: ChatItem | null): void
+}
 
 export type OnRegenerate = (chatItem: ChatItem) => void
 
diff --git a/web/app/components/base/chat/utils.ts b/web/app/components/base/chat/utils.ts
index 326805c930..ce7a7c09b3 100644
--- a/web/app/components/base/chat/utils.ts
+++ b/web/app/components/base/chat/utils.ts
@@ -1,8 +1,6 @@
-import { addFileInfos, sortAgentSorts } from '../../tools/utils'
 import { UUID_NIL } from './constants'
 import type { IChatItem } from './chat/type'
 import type { ChatItem, ChatItemInTree } from './types'
-import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils'
 
 async function decodeBase64AndDecompress(base64String: string) {
   const binaryString = atob(base64String)
@@ -21,67 +19,24 @@ function getProcessedInputsFromUrlParams(): Record<string, any> {
   return inputs
 }
 
-function getLastAnswer(chatList: ChatItem[]) {
+function isValidGeneratedAnswer(item?: ChatItem | ChatItemInTree): boolean {
+  return !!item && item.isAnswer && !item.id.startsWith('answer-placeholder-') && !item.isOpeningStatement
+}
+
+function getLastAnswer<T extends ChatItem | ChatItemInTree>(chatList: T[]): T | null {
   for (let i = chatList.length - 1; i >= 0; i--) {
     const item = chatList[i]
-    if (item.isAnswer && !item.id.startsWith('answer-placeholder-') && !item.isOpeningStatement)
+    if (isValidGeneratedAnswer(item))
       return item
   }
   return null
 }
 
-function appendQAToChatList(chatList: ChatItem[], item: any) {
-  // we append answer first and then question since will reverse the whole chatList later
-  const answerFiles = item.message_files?.filter((file: any) => file.belongs_to === 'assistant') || []
-  chatList.push({
-    id: item.id,
-    content: item.answer,
-    agent_thoughts: addFileInfos(item.agent_thoughts ? sortAgentSorts(item.agent_thoughts) : item.agent_thoughts, item.message_files),
-    feedback: item.feedback,
-    isAnswer: true,
-    citation: item.retriever_resources,
-    message_files: getProcessedFilesFromResponse(answerFiles.map((item: any) => ({ ...item, related_id: item.id }))),
-  })
-  const questionFiles = item.message_files?.filter((file: any) => file.belongs_to === 'user') || []
-  chatList.push({
-    id: `question-${item.id}`,
-    content: item.query,
-    isAnswer: false,
-    message_files: getProcessedFilesFromResponse(questionFiles.map((item: any) => ({ ...item, related_id: item.id }))),
-  })
-}
-
 /**
- * Computes the latest thread messages from all messages of the conversation.
- * Same logic as backend codebase `api/core/prompt/utils/extract_thread_messages.py`
- *
- * @param fetchedMessages - The history chat list data from the backend, sorted by created_at in descending order. This includes all flattened history messages of the conversation.
- * @returns An array of ChatItems representing the latest thread.
+ * Build a chat item tree from a chat list
+ * @param allMessages - The chat list, sorted from oldest to newest
+ * @returns The chat item tree
  */
-function getPrevChatList(fetchedMessages: any[]) {
-  const ret: ChatItem[] = []
-  let nextMessageId = null
-
-  for (const item of fetchedMessages) {
-    if (!item.parent_message_id) {
-      appendQAToChatList(ret, item)
-      break
-    }
-
-    if (!nextMessageId) {
-      appendQAToChatList(ret, item)
-      nextMessageId = item.parent_message_id
-    }
-    else {
-      if (item.id === nextMessageId || nextMessageId === UUID_NIL) {
-        appendQAToChatList(ret, item)
-        nextMessageId = item.parent_message_id
-      }
-    }
-  }
-  return ret.reverse()
-}
-
 function buildChatItemTree(allMessages: IChatItem[]): ChatItemInTree[] {
   const map: Record<string, ChatItemInTree> = {}
   const rootNodes: ChatItemInTree[] = []
@@ -208,7 +163,7 @@ function getThreadMessages(tree: ChatItemInTree[], targetMessageId?: string): Ch
 
 export {
   getProcessedInputsFromUrlParams,
-  getPrevChatList,
+  isValidGeneratedAnswer,
   getLastAnswer,
   buildChatItemTree,
   getThreadMessages,
diff --git a/web/app/components/workflow/panel/debug-and-preview/chat-wrapper.tsx b/web/app/components/workflow/panel/debug-and-preview/chat-wrapper.tsx
index 42c30df7cf..9285516935 100644
--- a/web/app/components/workflow/panel/debug-and-preview/chat-wrapper.tsx
+++ b/web/app/components/workflow/panel/debug-and-preview/chat-wrapper.tsx
@@ -19,14 +19,14 @@ import ConversationVariableModal from './conversation-variable-modal'
 import { useChat } from './hooks'
 import type { ChatWrapperRefType } from './index'
 import Chat from '@/app/components/base/chat/chat'
-import type { ChatItem, OnSend } from '@/app/components/base/chat/types'
+import type { ChatItem, ChatItemInTree, OnSend } from '@/app/components/base/chat/types'
 import { useFeatures } from '@/app/components/base/features/hooks'
 import {
   fetchSuggestedQuestions,
   stopChatMessageResponding,
 } from '@/service/debug'
 import { useStore as useAppStore } from '@/app/components/app/store'
-import { getLastAnswer } from '@/app/components/base/chat/utils'
+import { getLastAnswer, isValidGeneratedAnswer } from '@/app/components/base/chat/utils'
 
 type ChatWrapperProps = {
   showConversationVariableModal: boolean
@@ -65,13 +65,12 @@ const ChatWrapper = forwardRef<ChatWrapperRefType, ChatWrapperProps>(({
   const {
     conversationId,
     chatList,
-    chatListRef,
-    handleUpdateChatList,
     handleStop,
     isResponding,
     suggestedQuestions,
     handleSend,
     handleRestart,
+    setTargetMessageId,
   } = useChat(
     config,
     {
@@ -82,36 +81,26 @@ const ChatWrapper = forwardRef<ChatWrapperRefType, ChatWrapperProps>(({
     taskId => stopChatMessageResponding(appDetail!.id, taskId),
   )
 
-  const doSend = useCallback<OnSend>((query, files, last_answer) => {
+  const doSend: OnSend = useCallback((message, files, isRegenerate = false, parentAnswer: ChatItem | null = null) => {
     handleSend(
       {
-        query,
+        query: message,
         files,
         inputs: workflowStore.getState().inputs,
         conversation_id: conversationId,
-        parent_message_id: last_answer?.id || getLastAnswer(chatListRef.current)?.id || null,
+        parent_message_id: (isRegenerate ? parentAnswer?.id : getLastAnswer(chatList)?.id) || undefined,
       },
       {
         onGetSuggestedQuestions: (messageId, getAbortController) => fetchSuggestedQuestions(appDetail!.id, messageId, getAbortController),
       },
     )
-  }, [chatListRef, conversationId, handleSend, workflowStore, appDetail])
+  }, [handleSend, workflowStore, conversationId, chatList, appDetail])
 
-  const doRegenerate = useCallback((chatItem: ChatItem) => {
-    const index = chatList.findIndex(item => item.id === chatItem.id)
-    if (index === -1)
-      return
-
-    const prevMessages = chatList.slice(0, index)
-    const question = prevMessages.pop()
-    const lastAnswer = getLastAnswer(prevMessages)
-
-    if (!question)
-      return
-
-    handleUpdateChatList(prevMessages)
-    doSend(question.content, question.message_files, lastAnswer)
-  }, [chatList, handleUpdateChatList, doSend])
+  const doRegenerate = useCallback((chatItem: ChatItemInTree) => {
+    const question = chatList.find(item => item.id === chatItem.parentMessageId)!
+    const parentAnswer = chatList.find(item => item.id === question.parentMessageId)
+    doSend(question.content, question.message_files, true, isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null)
+  }, [chatList, doSend])
 
   useImperativeHandle(ref, () => {
     return {
@@ -159,6 +148,7 @@ const ChatWrapper = forwardRef<ChatWrapperRefType, ChatWrapperProps>(({
         suggestedQuestions={suggestedQuestions}
         showPromptLog
         chatAnswerContainerInner='!pr-2'
+        switchSibling={setTargetMessageId}
       />
       {showConversationVariableModal && (
         <ConversationVariableModal
diff --git a/web/app/components/workflow/panel/debug-and-preview/hooks.ts b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
index ebd5e7a99d..d3e4e90327 100644
--- a/web/app/components/workflow/panel/debug-and-preview/hooks.ts
+++ b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
@@ -1,6 +1,7 @@
 import {
   useCallback,
   useEffect,
+  useMemo,
   useRef,
   useState,
 } from 'react'
@@ -13,6 +14,7 @@ import { useWorkflowStore } from '../../store'
 import { DEFAULT_ITER_TIMES } from '../../constants'
 import type {
   ChatItem,
+  ChatItemInTree,
   Inputs,
 } from '@/app/components/base/chat/types'
 import type { InputForm } from '@/app/components/base/chat/chat/type'
@@ -27,6 +29,7 @@ import {
   getProcessedFilesFromResponse,
 } from '@/app/components/base/file-uploader/utils'
 import type { FileEntity } from '@/app/components/base/file-uploader/types'
+import { getThreadMessages } from '@/app/components/base/chat/utils'
 import type { NodeTracing } from '@/types/workflow'
 
 type GetAbortController = (abortController: AbortController) => void
@@ -39,7 +42,7 @@ export const useChat = (
     inputs: Inputs
     inputsForm: InputForm[]
   },
-  prevChatList?: ChatItem[],
+  prevChatTree?: ChatItemInTree[],
   stopChat?: (taskId: string) => void,
 ) => {
   const { t } = useTranslation()
@@ -49,16 +52,54 @@ export const useChat = (
   const workflowStore = useWorkflowStore()
   const conversationId = useRef('')
   const taskIdRef = useRef('')
-  const [chatList, setChatList] = useState<ChatItem[]>(prevChatList || [])
-  const chatListRef = useRef<ChatItem[]>(prevChatList || [])
   const [isResponding, setIsResponding] = useState(false)
   const isRespondingRef = useRef(false)
   const [suggestedQuestions, setSuggestQuestions] = useState<string[]>([])
   const suggestedQuestionsAbortControllerRef = useRef<AbortController | null>(null)
-
   const {
     setIterTimes,
   } = workflowStore.getState()
+
+  const handleResponding = useCallback((isResponding: boolean) => {
+    setIsResponding(isResponding)
+    isRespondingRef.current = isResponding
+  }, [])
+
+  const [chatTree, setChatTree] = useState<ChatItemInTree[]>(prevChatTree || [])
+  const chatTreeRef = useRef<ChatItemInTree[]>(chatTree)
+  const [targetMessageId, setTargetMessageId] = useState<string>()
+  const threadMessages = useMemo(() => getThreadMessages(chatTree, targetMessageId), [chatTree, targetMessageId])
+
+  const getIntroduction = useCallback((str: string) => {
+    return processOpeningStatement(str, formSettings?.inputs || {}, formSettings?.inputsForm || [])
+  }, [formSettings?.inputs, formSettings?.inputsForm])
+
+  /** Final chat list that will be rendered */
+  const chatList = useMemo(() => {
+    const ret = [...threadMessages]
+    if (config?.opening_statement) {
+      const index = threadMessages.findIndex(item => item.isOpeningStatement)
+
+      if (index > -1) {
+        ret[index] = {
+          ...ret[index],
+          content: getIntroduction(config.opening_statement),
+          suggestedQuestions: config.suggested_questions,
+        }
+      }
+      else {
+        ret.unshift({
+          id: `${Date.now()}`,
+          content: getIntroduction(config.opening_statement),
+          isAnswer: true,
+          isOpeningStatement: true,
+          suggestedQuestions: config.suggested_questions,
+        })
+      }
+    }
+    return ret
+  }, [threadMessages, config?.opening_statement, getIntroduction, config?.suggested_questions])
+
   useEffect(() => {
     setAutoFreeze(false)
     return () => {
@@ -66,43 +107,21 @@ export const useChat = (
     }
   }, [])
 
-  const handleUpdateChatList = useCallback((newChatList: ChatItem[]) => {
-    setChatList(newChatList)
-    chatListRef.current = newChatList
-  }, [])
-
-  const handleResponding = useCallback((isResponding: boolean) => {
-    setIsResponding(isResponding)
-    isRespondingRef.current = isResponding
-  }, [])
-
-  const getIntroduction = useCallback((str: string) => {
-    return processOpeningStatement(str, formSettings?.inputs || {}, formSettings?.inputsForm || [])
-  }, [formSettings?.inputs, formSettings?.inputsForm])
-  useEffect(() => {
-    if (config?.opening_statement) {
-      handleUpdateChatList(produce(chatListRef.current, (draft) => {
-        const index = draft.findIndex(item => item.isOpeningStatement)
-
-        if (index > -1) {
-          draft[index] = {
-            ...draft[index],
-            content: getIntroduction(config.opening_statement),
-            suggestedQuestions: config.suggested_questions,
-          }
+  /** Find the target node by bfs and then operate on it */
+  const produceChatTreeNode = useCallback((targetId: string, operation: (node: ChatItemInTree) => void) => {
+    return produce(chatTreeRef.current, (draft) => {
+      const queue: ChatItemInTree[] = [...draft]
+      while (queue.length > 0) {
+        const current = queue.shift()!
+        if (current.id === targetId) {
+          operation(current)
+          break
         }
-        else {
-          draft.unshift({
-            id: `${Date.now()}`,
-            content: getIntroduction(config.opening_statement),
-            isAnswer: true,
-            isOpeningStatement: true,
-            suggestedQuestions: config.suggested_questions,
-          })
-        }
-      }))
-    }
-  }, [config?.opening_statement, getIntroduction, config?.suggested_questions, handleUpdateChatList])
+        if (current.children)
+          queue.push(...current.children)
+      }
+    })
+  }, [])
 
   const handleStop = useCallback(() => {
     hasStopResponded.current = true
@@ -119,50 +138,52 @@ export const useChat = (
     taskIdRef.current = ''
     handleStop()
     setIterTimes(DEFAULT_ITER_TIMES)
-    const newChatList = config?.opening_statement
-      ? [{
-        id: `${Date.now()}`,
-        content: config.opening_statement,
-        isAnswer: true,
-        isOpeningStatement: true,
-        suggestedQuestions: config.suggested_questions,
-      }]
-      : []
-    handleUpdateChatList(newChatList)
+    setChatTree([])
     setSuggestQuestions([])
   }, [
-    config,
     handleStop,
-    handleUpdateChatList,
     setIterTimes,
   ])
 
-  const updateCurrentQA = useCallback(({
+  const updateCurrentQAOnTree = useCallback(({
+    parentId,
     responseItem,
-    questionId,
-    placeholderAnswerId,
+    placeholderQuestionId,
     questionItem,
   }: {
+    parentId?: string
     responseItem: ChatItem
-    questionId: string
-    placeholderAnswerId: string
+    placeholderQuestionId: string
     questionItem: ChatItem
   }) => {
-    const newListWithAnswer = produce(
-      chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId),
-      (draft) => {
-        if (!draft.find(item => item.id === questionId))
-          draft.push({ ...questionItem })
-
-        draft.push({ ...responseItem })
+    let nextState: ChatItemInTree[]
+    const currentQA = { ...questionItem, children: [{ ...responseItem, children: [] }] }
+    if (!parentId && !chatTree.some(item => [placeholderQuestionId, questionItem.id].includes(item.id))) {
+      // QA whose parent is not provided is considered as a first message of the conversation,
+      // and it should be a root node of the chat tree
+      nextState = produce(chatTree, (draft) => {
+        draft.push(currentQA)
       })
-    handleUpdateChatList(newListWithAnswer)
-  }, [handleUpdateChatList])
+    }
+    else {
+      // find the target QA in the tree and update it; if not found, insert it to its parent node
+      nextState = produceChatTreeNode(parentId!, (parentNode) => {
+        const questionNodeIndex = parentNode.children!.findIndex(item => [placeholderQuestionId, questionItem.id].includes(item.id))
+        if (questionNodeIndex === -1)
+          parentNode.children!.push(currentQA)
+        else
+          parentNode.children![questionNodeIndex] = currentQA
+      })
+    }
+    setChatTree(nextState)
+    chatTreeRef.current = nextState
+  }, [chatTree, produceChatTreeNode])
 
   const handleSend = useCallback((
     params: {
       query: string
       files?: FileEntity[]
+      parent_message_id?: string
       [key: string]: any
     },
     {
@@ -174,12 +195,15 @@ export const useChat = (
       return false
     }
 
-    const questionId = `question-${Date.now()}`
+    const parentMessage = threadMessages.find(item => item.id === params.parent_message_id)
+
+    const placeholderQuestionId = `question-${Date.now()}`
     const questionItem = {
-      id: questionId,
+      id: placeholderQuestionId,
       content: params.query,
       isAnswer: false,
       message_files: params.files,
+      parentMessageId: params.parent_message_id,
     }
 
     const placeholderAnswerId = `answer-placeholder-${Date.now()}`
@@ -187,10 +211,17 @@ export const useChat = (
       id: placeholderAnswerId,
       content: '',
       isAnswer: true,
+      parentMessageId: questionItem.id,
+      siblingIndex: parentMessage?.children?.length ?? chatTree.length,
     }
 
-    const newList = [...chatListRef.current, questionItem, placeholderAnswerItem]
-    handleUpdateChatList(newList)
+    setTargetMessageId(parentMessage?.id)
+    updateCurrentQAOnTree({
+      parentId: params.parent_message_id,
+      responseItem: placeholderAnswerItem,
+      placeholderQuestionId,
+      questionItem,
+    })
 
     // answer
     const responseItem: ChatItem = {
@@ -199,6 +230,8 @@ export const useChat = (
       agent_thoughts: [],
       message_files: [],
       isAnswer: true,
+      parentMessageId: questionItem.id,
+      siblingIndex: parentMessage?.children?.length ?? chatTree.length,
     }
 
     handleResponding(true)
@@ -230,7 +263,9 @@ export const useChat = (
           responseItem.content = responseItem.content + message
 
           if (messageId && !hasSetResponseId) {
+            questionItem.id = `question-${messageId}`
             responseItem.id = messageId
+            responseItem.parentMessageId = questionItem.id
             hasSetResponseId = true
           }
 
@@ -241,11 +276,11 @@ export const useChat = (
           if (messageId)
             responseItem.id = messageId
 
-          updateCurrentQA({
-            responseItem,
-            questionId,
-            placeholderAnswerId,
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
             questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
           })
         },
         async onCompleted(hasError?: boolean, errorMessage?: string) {
@@ -255,15 +290,12 @@ export const useChat = (
             if (errorMessage) {
               responseItem.content = errorMessage
               responseItem.isError = true
-              const newListWithAnswer = produce(
-                chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId),
-                (draft) => {
-                  if (!draft.find(item => item.id === questionId))
-                    draft.push({ ...questionItem })
-
-                  draft.push({ ...responseItem })
-                })
-              handleUpdateChatList(newListWithAnswer)
+              updateCurrentQAOnTree({
+                placeholderQuestionId,
+                questionItem,
+                responseItem,
+                parentId: params.parent_message_id,
+              })
             }
             return
           }
@@ -286,15 +318,12 @@ export const useChat = (
           const processedFilesFromResponse = getProcessedFilesFromResponse(messageEnd.files || [])
           responseItem.allFiles = uniqBy([...(responseItem.allFiles || []), ...(processedFilesFromResponse || [])], 'id')
 
-          const newListWithAnswer = produce(
-            chatListRef.current.filter(item => item.id !== responseItem.id && item.id !== placeholderAnswerId),
-            (draft) => {
-              if (!draft.find(item => item.id === questionId))
-                draft.push({ ...questionItem })
-
-              draft.push({ ...responseItem })
-            })
-          handleUpdateChatList(newListWithAnswer)
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onMessageReplace: (messageReplace) => {
           responseItem.content = messageReplace.answer
@@ -309,23 +338,21 @@ export const useChat = (
             status: WorkflowRunningStatus.Running,
             tracing: [],
           }
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onWorkflowFinished: ({ data }) => {
           responseItem.workflowProcess!.status = data.status as WorkflowRunningStatus
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onIterationStart: ({ data }) => {
           responseItem.workflowProcess!.tracing!.push({
@@ -333,13 +360,12 @@ export const useChat = (
             status: NodeRunningStatus.Running,
             details: [],
           } as any)
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onIterationNext: ({ data }) => {
           const tracing = responseItem.workflowProcess!.tracing!
@@ -347,10 +373,12 @@ export const useChat = (
             && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))!
           iterations.details!.push([])
 
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.length - 1
-            draft[currentIndex] = responseItem
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onIterationFinish: ({ data }) => {
           const tracing = responseItem.workflowProcess!.tracing!
@@ -361,10 +389,12 @@ export const useChat = (
             ...data,
             status: NodeRunningStatus.Succeeded,
           } as any
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.length - 1
-            draft[currentIndex] = responseItem
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onNodeStarted: ({ data }) => {
           if (data.iteration_id)
@@ -374,13 +404,12 @@ export const useChat = (
             ...data,
             status: NodeRunningStatus.Running,
           } as any)
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onNodeRetry: ({ data }) => {
           if (data.iteration_id)
@@ -422,23 +451,21 @@ export const useChat = (
               : {}),
             ...data,
           } as any
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
       },
     )
-  }, [handleRun, handleResponding, handleUpdateChatList, notify, t, updateCurrentQA, config.suggested_questions_after_answer?.enabled, formSettings])
+  }, [threadMessages, chatTree.length, updateCurrentQAOnTree, handleResponding, formSettings?.inputsForm, handleRun, notify, t, config?.suggested_questions_after_answer?.enabled])
 
   return {
     conversationId: conversationId.current,
     chatList,
-    chatListRef,
-    handleUpdateChatList,
+    setTargetMessageId,
     handleSend,
     handleStop,
     handleRestart,

From b47669b80bbef8e753d74d0859c127069be66218 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Sun, 2 Feb 2025 12:05:11 +0800
Subject: [PATCH 092/217] fix: deduct LLM quota after processing invoke result
 (#13075)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/core/workflow/nodes/llm/node.py | 14 +++-----------
 1 file changed, 3 insertions(+), 11 deletions(-)

diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py
index 6909b30c9e..6a4f8c4e20 100644
--- a/api/core/workflow/nodes/llm/node.py
+++ b/api/core/workflow/nodes/llm/node.py
@@ -185,6 +185,8 @@ class LLMNode(BaseNode[LLMNodeData]):
                     result_text = event.text
                     usage = event.usage
                     finish_reason = event.finish_reason
+                    # deduct quota
+                    self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
                     break
         except LLMNodeError as e:
             yield RunCompletedEvent(
@@ -240,17 +242,7 @@ class LLMNode(BaseNode[LLMNodeData]):
             user=self.user_id,
         )
 
-        # handle invoke result
-        generator = self._handle_invoke_result(invoke_result=invoke_result)
-
-        usage = LLMUsage.empty_usage()
-        for event in generator:
-            yield event
-            if isinstance(event, ModelInvokeCompletedEvent):
-                usage = event.usage
-
-        # deduct quota
-        self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
+        return self._handle_invoke_result(invoke_result=invoke_result)
 
     def _handle_invoke_result(self, invoke_result: LLMResult | Generator) -> Generator[NodeEvent, None, None]:
         if isinstance(invoke_result, LLMResult):

From ee61cede4ebd7e97363c4fcb77be225d59087843 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Sun, 2 Feb 2025 14:47:26 +0800
Subject: [PATCH 093/217] test(huggingface_hub): Skip the failed test
 temporarily. (#13142)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../integration_tests/model_runtime/huggingface_hub/test_llm.py  | 1 +
 1 file changed, 1 insertion(+)

diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
index 6a6cc874fa..8f90c68029 100644
--- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
+++ b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
@@ -10,6 +10,7 @@ from core.model_runtime.model_providers.huggingface_hub.llm.llm import Huggingfa
 from tests.integration_tests.model_runtime.__mock.huggingface import setup_huggingface_mock
 
 
+@pytest.mark.skip
 @pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
 def test_hosted_inference_api_validate_credentials(setup_huggingface_mock):
     model = HuggingfaceHubLargeLanguageModel()

From c2664e0283bd45233be75043a3e3647fdc3fcf06 Mon Sep 17 00:00:00 2001
From: Masashi Tomooka <tmokmss@users.noreply.github.com>
Date: Sun, 2 Feb 2025 16:26:59 +0900
Subject: [PATCH 094/217] chore: fix wrong VectorType match case (#13123)

---
 api/controllers/console/datasets/datasets.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index abb817b244..fee651480a 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -620,7 +620,6 @@ class DatasetRetrievalSettingApi(Resource):
         match vector_type:
             case (
                 VectorType.RELYT
-                | VectorType.PGVECTOR
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
                 | VectorType.TENCENT

From d73d191f999461e6027711de6a76ba5607fddb5d Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Sun, 2 Feb 2025 16:27:12 +0900
Subject: [PATCH 095/217] feature. add feat to modify metadata via dataset api
 (#13116)

---
 .../service_api/dataset/document.py           |  98 +++++++++
 api/services/dataset_service.py               |  15 ++
 .../knowledge_entities/knowledge_entities.py  |   6 +
 .../datasets/template/template.en.mdx         | 199 +++++++++++++++++
 .../datasets/template/template.zh.mdx         | 204 ++++++++++++++++++
 5 files changed, 522 insertions(+)

diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py
index 2e148dd84c..b4c3a4c607 100644
--- a/api/controllers/service_api/dataset/document.py
+++ b/api/controllers/service_api/dataset/document.py
@@ -18,6 +18,7 @@ from controllers.service_api.app.error import (
 from controllers.service_api.dataset.error import (
     ArchivedDocumentImmutableError,
     DocumentIndexingError,
+    InvalidMetadataError,
 )
 from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
 from core.errors.error import ProviderTokenNotInitError
@@ -50,6 +51,9 @@ class DocumentAddByTextApi(DatasetApiResource):
             "indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
         )
         parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
+        parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
+        parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
+
         args = parser.parse_args()
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
@@ -61,6 +65,28 @@ class DocumentAddByTextApi(DatasetApiResource):
         if not dataset.indexing_technique and not args["indexing_technique"]:
             raise ValueError("indexing_technique is required.")
 
+        # Validate metadata if provided
+        if args.get("doc_type") or args.get("doc_metadata"):
+            if not args.get("doc_type") or not args.get("doc_metadata"):
+                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
+
+            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
+                raise InvalidMetadataError(
+                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
+                )
+
+            if not isinstance(args["doc_metadata"], dict):
+                raise InvalidMetadataError("doc_metadata must be a dictionary")
+
+            # Validate metadata schema based on doc_type
+            if args["doc_type"] != "others":
+                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
+                for key, value in args["doc_metadata"].items():
+                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
+                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
+            # set to MetaDataConfig
+            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
+
         text = args.get("text")
         name = args.get("name")
         if text is None or name is None:
@@ -107,6 +133,8 @@ class DocumentUpdateByTextApi(DatasetApiResource):
             "doc_language", type=str, default="English", required=False, nullable=False, location="json"
         )
         parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
+        parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
+        parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
         args = parser.parse_args()
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
@@ -115,6 +143,29 @@ class DocumentUpdateByTextApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset is not exist.")
 
+        # Validate metadata if provided
+        if args.get("doc_type") or args.get("doc_metadata"):
+            if not args.get("doc_type") or not args.get("doc_metadata"):
+                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
+
+            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
+                raise InvalidMetadataError(
+                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
+                )
+
+            if not isinstance(args["doc_metadata"], dict):
+                raise InvalidMetadataError("doc_metadata must be a dictionary")
+
+            # Validate metadata schema based on doc_type
+            if args["doc_type"] != "others":
+                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
+                for key, value in args["doc_metadata"].items():
+                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
+                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
+
+            # set to MetaDataConfig
+            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
+
         if args["text"]:
             text = args.get("text")
             name = args.get("name")
@@ -161,6 +212,30 @@ class DocumentAddByFileApi(DatasetApiResource):
             args["doc_form"] = "text_model"
         if "doc_language" not in args:
             args["doc_language"] = "English"
+
+        # Validate metadata if provided
+        if args.get("doc_type") or args.get("doc_metadata"):
+            if not args.get("doc_type") or not args.get("doc_metadata"):
+                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
+
+            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
+                raise InvalidMetadataError(
+                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
+                )
+
+            if not isinstance(args["doc_metadata"], dict):
+                raise InvalidMetadataError("doc_metadata must be a dictionary")
+
+            # Validate metadata schema based on doc_type
+            if args["doc_type"] != "others":
+                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
+                for key, value in args["doc_metadata"].items():
+                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
+                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
+
+            # set to MetaDataConfig
+            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
+
         # get dataset info
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
@@ -228,6 +303,29 @@ class DocumentUpdateByFileApi(DatasetApiResource):
         if "doc_language" not in args:
             args["doc_language"] = "English"
 
+        # Validate metadata if provided
+        if args.get("doc_type") or args.get("doc_metadata"):
+            if not args.get("doc_type") or not args.get("doc_metadata"):
+                raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
+
+            if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
+                raise InvalidMetadataError(
+                    "Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
+                )
+
+            if not isinstance(args["doc_metadata"], dict):
+                raise InvalidMetadataError("doc_metadata must be a dictionary")
+
+            # Validate metadata schema based on doc_type
+            if args["doc_type"] != "others":
+                metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
+                for key, value in args["doc_metadata"].items():
+                    if key in metadata_schema and not isinstance(value, metadata_schema[key]):
+                        raise InvalidMetadataError(f"Invalid type for metadata field {key}")
+
+            # set to MetaDataConfig
+            args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
+
         # get dataset info
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index c405933736..38025b5213 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -42,6 +42,7 @@ from models.source import DataSourceOauthBinding
 from services.entities.knowledge_entities.knowledge_entities import (
     ChildChunkUpdateArgs,
     KnowledgeConfig,
+    MetaDataConfig,
     RerankingModel,
     RetrievalModel,
     SegmentUpdateArgs,
@@ -894,6 +895,9 @@ class DocumentService:
                                 document.data_source_info = json.dumps(data_source_info)
                                 document.batch = batch
                                 document.indexing_status = "waiting"
+                                if knowledge_config.metadata:
+                                    document.doc_type = knowledge_config.metadata.doc_type
+                                    document.metadata = knowledge_config.metadata.doc_metadata
                                 db.session.add(document)
                                 documents.append(document)
                                 duplicate_document_ids.append(document.id)
@@ -910,6 +914,7 @@ class DocumentService:
                             account,
                             file_name,
                             batch,
+                            knowledge_config.metadata,
                         )
                         db.session.add(document)
                         db.session.flush()
@@ -965,6 +970,7 @@ class DocumentService:
                                     account,
                                     page.page_name,
                                     batch,
+                                    knowledge_config.metadata,
                                 )
                                 db.session.add(document)
                                 db.session.flush()
@@ -1005,6 +1011,7 @@ class DocumentService:
                             account,
                             document_name,
                             batch,
+                            knowledge_config.metadata,
                         )
                         db.session.add(document)
                         db.session.flush()
@@ -1042,6 +1049,7 @@ class DocumentService:
         account: Account,
         name: str,
         batch: str,
+        metadata: Optional[MetaDataConfig] = None,
     ):
         document = Document(
             tenant_id=dataset.tenant_id,
@@ -1057,6 +1065,9 @@ class DocumentService:
             doc_form=document_form,
             doc_language=document_language,
         )
+        if metadata is not None:
+            document.doc_metadata = metadata.doc_metadata
+            document.doc_type = metadata.doc_type
         return document
 
     @staticmethod
@@ -1169,6 +1180,10 @@ class DocumentService:
         # update document name
         if document_data.name:
             document.name = document_data.name
+        # update doc_type and doc_metadata if provided
+        if document_data.metadata is not None:
+            document.doc_metadata = document_data.metadata.doc_type
+            document.doc_type = document_data.metadata.doc_type
         # update document to be waiting
         document.indexing_status = "waiting"
         document.completed_at = None
diff --git a/api/services/entities/knowledge_entities/knowledge_entities.py b/api/services/entities/knowledge_entities/knowledge_entities.py
index 8d6a246b64..f14c5b513a 100644
--- a/api/services/entities/knowledge_entities/knowledge_entities.py
+++ b/api/services/entities/knowledge_entities/knowledge_entities.py
@@ -93,6 +93,11 @@ class RetrievalModel(BaseModel):
     score_threshold: Optional[float] = None
 
 
+class MetaDataConfig(BaseModel):
+    doc_type: str
+    doc_metadata: dict
+
+
 class KnowledgeConfig(BaseModel):
     original_document_id: Optional[str] = None
     duplicate: bool = True
@@ -105,6 +110,7 @@ class KnowledgeConfig(BaseModel):
     embedding_model: Optional[str] = None
     embedding_model_provider: Optional[str] = None
     name: Optional[str] = None
+    metadata: Optional[MetaDataConfig] = None
 
 
 class SegmentUpdateArgs(BaseModel):
diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx
index 3fa22a1620..ac57e3aef2 100644
--- a/web/app/(commonLayout)/datasets/template/template.en.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.en.mdx
@@ -47,6 +47,44 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='text' type='string' key='text'>
         Document content
       </Property>
+      <Property name='doc_type' type='string' key='doc_type'>
+        Type of document (optional):
+          - <code>book</code> Book
+          - <code>web_page</code> Web page
+          - <code>paper</code> Academic paper/article 
+          - <code>social_media_post</code> Social media post
+          - <code>wikipedia_entry</code> Wikipedia entry
+          - <code>personal_document</code> Personal document
+          - <code>business_document</code> Business document
+          - <code>im_chat_log</code> Chat log
+          - <code>synced_from_notion</code> Notion document
+          - <code>synced_from_github</code> GitHub document
+          - <code>others</code> Other document types
+      </Property>
+      <Property name='doc_metadata' type='object' key='doc_metadata'>
+        Document metadata (required if doc_type is provided). Fields vary by doc_type:
+          For <code>book</code>:
+          - <code>title</code> Book title 
+          - <code>language</code> Book language
+          - <code>author</code> Book author
+          - <code>publisher</code> Publisher name
+          - <code>publication_date</code> Publication date
+          - <code>isbn</code> ISBN number
+          - <code>category</code> Book category
+
+          For <code>web_page</code>:
+          - <code>title</code> Page title
+          - <code>url</code> Page URL
+          - <code>language</code> Page language
+          - <code>publish_date</code> Publish date
+          - <code>author/publisher</code> Author or publisher
+          - <code>topic/keywords</code> Topic or keywords
+          - <code>description</code> Page description
+
+          Please check [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) for more details on the fields required for each doc_type.
+
+          For doc_type "others", any valid JSON object is accepted
+      </Property>
       <Property name='indexing_technique' type='string' key='indexing_technique'>
         Index mode
           - <code>high_quality</code> High quality: embedding using embedding model, built as vector database index
@@ -195,6 +233,68 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
           - <code>hierarchical_model</code> Parent-child mode
           - <code>qa_model</code> Q&A Mode: Generates Q&A pairs for segmented documents and then embeds the questions
 
+        - <code>doc_type</code> Type of document (optional)
+          - <code>book</code> Book
+            Document records a book or publication
+          - <code>web_page</code> Web page 
+            Document records web page content
+          - <code>paper</code> Academic paper/article
+            Document records academic paper or research article
+          - <code>social_media_post</code> Social media post
+            Content from social media posts
+          - <code>wikipedia_entry</code> Wikipedia entry
+            Content from Wikipedia entries
+          - <code>personal_document</code> Personal document
+            Documents related to personal content
+          - <code>business_document</code> Business document
+            Documents related to business content
+          - <code>im_chat_log</code> Chat log
+            Records of instant messaging chats
+          - <code>synced_from_notion</code> Notion document
+            Documents synchronized from Notion
+          - <code>synced_from_github</code> GitHub document
+            Documents synchronized from GitHub
+          - <code>others</code> Other document types
+            Other document types not listed above
+
+        - <code>doc_metadata</code> Document metadata (required if doc_type is provided)
+          Fields vary by doc_type:
+
+          For <code>book</code>:
+          - <code>title</code> Book title
+            Title of the book
+          - <code>language</code> Book language
+            Language of the book
+          - <code>author</code> Book author
+            Author of the book
+          - <code>publisher</code> Publisher name
+            Name of the publishing house
+          - <code>publication_date</code> Publication date
+            Date when the book was published
+          - <code>isbn</code> ISBN number
+            International Standard Book Number
+          - <code>category</code> Book category
+            Category or genre of the book
+
+          For <code>web_page</code>:
+          - <code>title</code> Page title
+            Title of the web page
+          - <code>url</code> Page URL
+            URL address of the web page
+          - <code>language</code> Page language
+            Language of the web page
+          - <code>publish_date</code> Publish date
+            Date when the web page was published
+          - <code>author/publisher</code> Author or publisher
+            Author or publisher of the web page
+          - <code>topic/keywords</code> Topic or keywords
+            Topics or keywords of the web page
+          - <code>description</code> Page description
+            Description of the web page content
+
+          Please check [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) for more details on the fields required for each doc_type.
+          For doc_type "others", any valid JSON object is accepted
+
         - <code>doc_language</code> In Q&A mode, specify the language of the document, for example: <code>English</code>, <code>Chinese</code>
 
         - <code>process_rule</code> Processing rules
@@ -307,6 +407,44 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='description' type='string' key='description'>
         Knowledge description (optional)
       </Property>
+      <Property name='doc_type' type='string' key='doc_type'>
+        Type of document (optional):
+          - <code>book</code> Book
+          - <code>web_page</code> Web page
+          - <code>paper</code> Academic paper/article 
+          - <code>social_media_post</code> Social media post
+          - <code>wikipedia_entry</code> Wikipedia entry
+          - <code>personal_document</code> Personal document
+          - <code>business_document</code> Business document
+          - <code>im_chat_log</code> Chat log
+          - <code>synced_from_notion</code> Notion document
+          - <code>synced_from_github</code> GitHub document
+          - <code>others</code> Other document types
+      </Property>
+      <Property name='doc_metadata' type='object' key='doc_metadata'>
+        Document metadata (required if doc_type is provided). Fields vary by doc_type:
+          For <code>book</code>:
+          - <code>title</code> Book title 
+          - <code>language</code> Book language
+          - <code>author</code> Book author
+          - <code>publisher</code> Publisher name
+          - <code>publication_date</code> Publication date
+          - <code>isbn</code> ISBN number
+          - <code>category</code> Book category
+
+          For <code>web_page</code>:
+          - <code>title</code> Page title
+          - <code>url</code> Page URL
+          - <code>language</code> Page language
+          - <code>publish_date</code> Publish date
+          - <code>author/publisher</code> Author or publisher
+          - <code>topic/keywords</code> Topic or keywords
+          - <code>description</code> Page description
+
+          Please check [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) for more details on the fields required for each doc_type.
+
+          For doc_type "others", any valid JSON object is accepted
+      </Property>
       <Property name='indexing_technique' type='string' key='indexing_technique'>
         Index technique (optional)
           - <code>high_quality</code> High quality
@@ -624,6 +762,67 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
               - <code>separator</code> Segmentation identifier. Currently, only one delimiter is allowed. The default is <code>***</code>
               - <code>max_tokens</code> The maximum length (tokens) must be validated to be shorter than the length of the parent chunk
               - <code>chunk_overlap</code> Define the overlap between adjacent chunks (optional)
+            - <code>doc_type</code> Type of document (optional)
+              - <code>book</code> Book
+                Document records a book or publication
+              - <code>web_page</code> Web page 
+                Document records web page content
+              - <code>paper</code> Academic paper/article
+                Document records academic paper or research article
+              - <code>social_media_post</code> Social media post
+                Content from social media posts
+              - <code>wikipedia_entry</code> Wikipedia entry
+                Content from Wikipedia entries
+              - <code>personal_document</code> Personal document
+                Documents related to personal content
+              - <code>business_document</code> Business document
+                Documents related to business content
+              - <code>im_chat_log</code> Chat log
+                Records of instant messaging chats
+              - <code>synced_from_notion</code> Notion document
+                Documents synchronized from Notion
+              - <code>synced_from_github</code> GitHub document
+                Documents synchronized from GitHub
+              - <code>others</code> Other document types
+                Other document types not listed above
+
+            - <code>doc_metadata</code> Document metadata (required if doc_type is provided)
+              Fields vary by doc_type:
+
+              For <code>book</code>:
+              - <code>title</code> Book title
+                Title of the book
+              - <code>language</code> Book language
+                Language of the book
+              - <code>author</code> Book author
+                Author of the book
+              - <code>publisher</code> Publisher name
+                Name of the publishing house
+              - <code>publication_date</code> Publication date
+                Date when the book was published
+              - <code>isbn</code> ISBN number
+                International Standard Book Number
+              - <code>category</code> Book category
+                Category or genre of the book
+
+              For <code>web_page</code>:
+              - <code>title</code> Page title
+                Title of the web page
+              - <code>url</code> Page URL
+                URL address of the web page
+              - <code>language</code> Page language
+                Language of the web page
+              - <code>publish_date</code> Publish date
+                Date when the web page was published
+              - <code>author/publisher</code> Author or publisher
+                Author or publisher of the web page
+              - <code>topic/keywords</code> Topic or keywords
+                Topics or keywords of the web page
+              - <code>description</code> Page description
+                Description of the web page content
+
+              Please check [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) for more details on the fields required for each doc_type.
+              For doc_type "others", any valid JSON object is accepted
       </Property>
     </Properties>
   </Col>
diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx
index 334591743f..0e5857c446 100644
--- a/web/app/(commonLayout)/datasets/template/template.zh.mdx
+++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx
@@ -47,6 +47,46 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='text' type='string' key='text'>
         文档内容
       </Property>
+      <Property name='doc_type' type='string' key='doc_type'>
+        文档类型（选填）
+          - <code>book</code> 图书 Book
+          - <code>web_page</code> 网页 Web page
+          - <code>paper</code> 学术论文/文章 Academic paper/article 
+          - <code>social_media_post</code> 社交媒体帖子 Social media post
+          - <code>wikipedia_entry</code> 维基百科条目 Wikipedia entry
+          - <code>personal_document</code> 个人文档 Personal document
+          - <code>business_document</code> 商业文档 Business document
+          - <code>im_chat_log</code> 即时通讯记录 Chat log
+          - <code>synced_from_notion</code> Notion同步文档 Notion document
+          - <code>synced_from_github</code> GitHub同步文档 GitHub document
+          - <code>others</code> 其他文档类型 Other document types
+      </Property>
+      <Property name='doc_metadata' type='object' key='doc_metadata'>
+      
+        文档元数据（如提供文档类型则必填）。字段因文档类型而异：
+          
+          针对图书 For <code>book</code>:
+          - <code>title</code> 书名 Book title 
+          - <code>language</code> 图书语言 Book language
+          - <code>author</code> 作者 Book author
+          - <code>publisher</code> 出版社 Publisher name
+          - <code>publication_date</code> 出版日期 Publication date
+          - <code>isbn</code> ISBN号码 ISBN number
+          - <code>category</code> 图书分类 Book category
+
+          针对网页 For <code>web_page</code>:
+          - <code>title</code> 页面标题 Page title
+          - <code>url</code> 页面网址 Page URL
+          - <code>language</code> 页面语言 Page language
+          - <code>publish_date</code> 发布日期 Publish date
+          - <code>author/publisher</code> 作者/发布者 Author or publisher
+          - <code>topic/keywords</code> 主题/关键词 Topic or keywords
+          - <code>description</code> 页面描述 Page description
+
+          请查看 [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) 了解各文档类型所需字段的详细信息。
+
+          针对"其他"类型文档，接受任何有效的JSON对象
+      </Property>
       <Property name='indexing_technique' type='string' key='indexing_technique'>
         索引方式
           - <code>high_quality</code> 高质量：使用  embedding 模型进行嵌入，构建为向量数据库索引
@@ -194,6 +234,68 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
           - <code>text_model</code> text 文档直接 embedding，经济模式默认为该模式
           - <code>hierarchical_model</code> parent-child 模式
           - <code>qa_model</code> Q&A 模式：为分片文档生成 Q&A 对，然后对问题进行 embedding
+        - <code>doc_type</code> 文档类型（选填）Type of document (optional)
+          - <code>book</code> 图书
+            文档记录一本书籍或出版物
+          - <code>web_page</code> 网页
+            网页内容的文档记录
+          - <code>paper</code> 学术论文/文章
+            学术论文或研究文章的记录
+          - <code>social_media_post</code> 社交媒体帖子
+            社交媒体上的帖子内容
+          - <code>wikipedia_entry</code> 维基百科条目
+            维基百科的词条内容
+          - <code>personal_document</code> 个人文档
+            个人相关的文档记录
+          - <code>business_document</code> 商业文档
+            商业相关的文档记录
+          - <code>im_chat_log</code> 即时通讯记录
+            即时通讯的聊天记录
+          - <code>synced_from_notion</code> Notion同步文档
+            从Notion同步的文档内容
+          - <code>synced_from_github</code> GitHub同步文档
+            从GitHub同步的文档内容
+          - <code>others</code> 其他文档类型
+            其他未列出的文档类型
+
+        - <code>doc_metadata</code> 文档元数据（如提供文档类型则必填
+          字段因文档类型而异
+
+          针对图书类型 For <code>book</code>:
+          - <code>title</code> 书名
+            书籍的标题
+          - <code>language</code> 图书语言
+            书籍的语言
+          - <code>author</code> 作者
+            书籍的作者
+          - <code>publisher</code> 出版社
+            出版社的名称
+          - <code>publication_date</code> 出版日期
+            书籍的出版日期
+          - <code>isbn</code> ISBN号码
+            书籍的ISBN编号
+          - <code>category</code> 图书分类
+            书籍的分类类别
+
+          针对网页类型 For <code>web_page</code>:
+          - <code>title</code> 页面标题
+            网页的标题
+          - <code>url</code> 页面网址
+            网页的URL地址
+          - <code>language</code> 页面语言
+            网页的语言
+          - <code>publish_date</code> 发布日期
+            网页的发布日期
+          - <code>author/publisher</code> 作者/发布者
+            网页的作者或发布者
+          - <code>topic/keywords</code> 主题/关键词
+            网页的主题或关键词
+          - <code>description</code> 页面描述
+            网页的描述信息
+
+          请查看 [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) 了解各文档类型所需字段的详细信息。
+
+          针对"其他"类型文档，接受任何有效的JSON对象
 
         - <code>doc_language</code> 在 Q&A 模式下，指定文档的语言，例如：<code>English</code>、<code>Chinese</code>
 
@@ -504,6 +606,46 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='text' type='string' key='text'>
         文档内容（选填）
       </Property>
+      <Property name='doc_type' type='string' key='doc_type'>
+        文档类型（选填）
+          - <code>book</code> 图书 Book
+          - <code>web_page</code> 网页 Web page
+          - <code>paper</code> 学术论文/文章 Academic paper/article 
+          - <code>social_media_post</code> 社交媒体帖子 Social media post
+          - <code>wikipedia_entry</code> 维基百科条目 Wikipedia entry
+          - <code>personal_document</code> 个人文档 Personal document
+          - <code>business_document</code> 商业文档 Business document
+          - <code>im_chat_log</code> 即时通讯记录 Chat log
+          - <code>synced_from_notion</code> Notion同步文档 Notion document
+          - <code>synced_from_github</code> GitHub同步文档 GitHub document
+          - <code>others</code> 其他文档类型 Other document types
+      </Property>
+      <Property name='doc_metadata' type='object' key='doc_metadata'>
+      
+        文档元数据（如提供文档类型则必填）。字段因文档类型而异：
+          
+          针对图书 For <code>book</code>:
+          - <code>title</code> 书名 Book title 
+          - <code>language</code> 图书语言 Book language
+          - <code>author</code> 作者 Book author
+          - <code>publisher</code> 出版社 Publisher name
+          - <code>publication_date</code> 出版日期 Publication date
+          - <code>isbn</code> ISBN号码 ISBN number
+          - <code>category</code> 图书分类 Book category
+
+          针对网页 For <code>web_page</code>:
+          - <code>title</code> 页面标题 Page title
+          - <code>url</code> 页面网址 Page URL
+          - <code>language</code> 页面语言 Page language
+          - <code>publish_date</code> 发布日期 Publish date
+          - <code>author/publisher</code> 作者/发布者 Author or publisher
+          - <code>topic/keywords</code> 主题/关键词 Topic or keywords
+          - <code>description</code> 页面描述 Page description
+
+          请查看 [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) 了解各文档类型所需字段的详细信息。
+
+          针对"其他"类型文档，接受任何有效的JSON对象
+      </Property>
       <Property name='process_rule' type='object' key='process_rule'>
         处理规则（选填）
           - <code>mode</code> (string) 清洗、分段模式 ，automatic 自动 / custom 自定义
@@ -624,6 +766,68 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
               - <code>separator</code> 分段标识符，目前仅允许设置一个分隔符。默认为 <code>***</code>
               - <code>max_tokens</code> 最大长度 (token) 需要校验小于父级的长度
               - <code>chunk_overlap</code> 分段重叠指的是在对数据进行分段时，段与段之间存在一定的重叠部分（选填）
+            - <code>doc_type</code> 文档类型（选填）Type of document (optional)
+              - <code>book</code> 图书
+                文档记录一本书籍或出版物
+              - <code>web_page</code> 网页
+                网页内容的文档记录
+              - <code>paper</code> 学术论文/文章
+                学术论文或研究文章的记录
+              - <code>social_media_post</code> 社交媒体帖子
+                社交媒体上的帖子内容
+              - <code>wikipedia_entry</code> 维基百科条目
+                维基百科的词条内容
+              - <code>personal_document</code> 个人文档
+                个人相关的文档记录
+              - <code>business_document</code> 商业文档
+                商业相关的文档记录
+              - <code>im_chat_log</code> 即时通讯记录
+                即时通讯的聊天记录
+              - <code>synced_from_notion</code> Notion同步文档
+                从Notion同步的文档内容
+              - <code>synced_from_github</code> GitHub同步文档
+                从GitHub同步的文档内容
+              - <code>others</code> 其他文档类型
+                其他未列出的文档类型
+
+            - <code>doc_metadata</code> 文档元数据（如提供文档类型则必填
+              字段因文档类型而异
+
+              针对图书类型 For <code>book</code>:
+              - <code>title</code> 书名
+                书籍的标题
+              - <code>language</code> 图书语言
+                书籍的语言
+              - <code>author</code> 作者
+                书籍的作者
+              - <code>publisher</code> 出版社
+                出版社的名称
+              - <code>publication_date</code> 出版日期
+                书籍的出版日期
+              - <code>isbn</code> ISBN号码
+                书籍的ISBN编号
+              - <code>category</code> 图书分类
+                书籍的分类类别
+
+              针对网页类型 For <code>web_page</code>:
+              - <code>title</code> 页面标题
+                网页的标题
+              - <code>url</code> 页面网址
+                网页的URL地址
+              - <code>language</code> 页面语言
+                网页的语言
+              - <code>publish_date</code> 发布日期
+                网页的发布日期
+              - <code>author/publisher</code> 作者/发布者
+                网页的作者或发布者
+              - <code>topic/keywords</code> 主题/关键词
+                网页的主题或关键词
+              - <code>description</code> 页面描述
+                网页的描述信息
+
+              请查看 [api/services/dataset_service.py](https://github.com/langgenius/dify/blob/main/api/services/dataset_service.py#L475) 了解各文档类型所需字段的详细信息。
+
+              针对"其他"类型文档，接受任何有效的JSON对象
       </Property>
     </Properties>
   </Col>

From 941ad03f3c27951345fc60884c60dd5235143d8f Mon Sep 17 00:00:00 2001
From: Obada Khalili <54270856+obadakhalili@users.noreply.github.com>
Date: Sun, 2 Feb 2025 09:27:27 +0200
Subject: [PATCH 096/217] pass model and cost so that langfuse can show cost
 (#13117)

---
 api/models/model.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/api/models/model.py b/api/models/model.py
index d6f73c5ede..2780b79c98 100644
--- a/api/models/model.py
+++ b/api/models/model.py
@@ -1066,8 +1066,10 @@ class Message(db.Model):  # type: ignore[name-defined]
             "id": self.id,
             "app_id": self.app_id,
             "conversation_id": self.conversation_id,
+            "model_id": self.model_id,
             "inputs": self.inputs,
             "query": self.query,
+            "total_price": self.total_price,
             "message": self.message,
             "answer": self.answer,
             "status": self.status,
@@ -1088,7 +1090,9 @@ class Message(db.Model):  # type: ignore[name-defined]
             id=data["id"],
             app_id=data["app_id"],
             conversation_id=data["conversation_id"],
+            model_id=data["model_id"],
             inputs=data["inputs"],
+            total_price=data["total_price"],
             query=data["query"],
             message=data["message"],
             answer=data["answer"],

From 840729afa57f5fdd39d9f433b26578181e143ede Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= <hjlarry@163.com>
Date: Sun, 2 Feb 2025 21:55:13 +0800
Subject: [PATCH 097/217] feat: the think tag display of siliconflow's deepseek
 r1 (#13153)

---
 .../model_providers/siliconflow/llm/llm.py    | 216 +++++++++++++++++-
 1 file changed, 214 insertions(+), 2 deletions(-)

diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
index 7a8aac9ca7..4109fafab9 100644
--- a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
@@ -1,9 +1,16 @@
+import json
 from collections.abc import Generator
 from typing import Optional, Union
 
+import requests
+
 from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    PromptMessage,
+    PromptMessageTool,
+)
 from core.model_runtime.entities.model_entities import (
     AIModelEntity,
     FetchFrom,
@@ -89,3 +96,208 @@ class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel):
                 ),
             ],
         )
+
+    def _handle_generate_stream_response(
+        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
+    ) -> Generator:
+        """
+        Handle llm stream response
+
+        :param model: model name
+        :param credentials: model credentials
+        :param response: streamed response
+        :param prompt_messages: prompt messages
+        :return: llm response chunk generator
+        """
+        full_assistant_content = ""
+        chunk_index = 0
+        is_reasoning_started = False  # Add flag to track reasoning state
+
+        def create_final_llm_result_chunk(
+            id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
+        ) -> LLMResultChunk:
+            # calculate num tokens
+            prompt_tokens = usage and usage.get("prompt_tokens")
+            if prompt_tokens is None:
+                prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
+            completion_tokens = usage and usage.get("completion_tokens")
+            if completion_tokens is None:
+                completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
+
+            # transform usage
+            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
+
+            return LLMResultChunk(
+                id=id,
+                model=model,
+                prompt_messages=prompt_messages,
+                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
+            )
+
+        # delimiter for stream response, need unicode_escape
+        import codecs
+
+        delimiter = credentials.get("stream_mode_delimiter", "\n\n")
+        delimiter = codecs.decode(delimiter, "unicode_escape")
+
+        tools_calls: list[AssistantPromptMessage.ToolCall] = []
+
+        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
+            def get_tool_call(tool_call_id: str):
+                if not tool_call_id:
+                    return tools_calls[-1]
+
+                tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
+                if tool_call is None:
+                    tool_call = AssistantPromptMessage.ToolCall(
+                        id=tool_call_id,
+                        type="function",
+                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
+                    )
+                    tools_calls.append(tool_call)
+
+                return tool_call
+
+            for new_tool_call in new_tool_calls:
+                # get tool call
+                tool_call = get_tool_call(new_tool_call.function.name)
+                # update tool call
+                if new_tool_call.id:
+                    tool_call.id = new_tool_call.id
+                if new_tool_call.type:
+                    tool_call.type = new_tool_call.type
+                if new_tool_call.function.name:
+                    tool_call.function.name = new_tool_call.function.name
+                if new_tool_call.function.arguments:
+                    tool_call.function.arguments += new_tool_call.function.arguments
+
+        finish_reason = None  # The default value of finish_reason is None
+        message_id, usage = None, None
+        for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
+            chunk = chunk.strip()
+            if chunk:
+                # ignore sse comments
+                if chunk.startswith(":"):
+                    continue
+                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
+                if decoded_chunk == "[DONE]":  # Some provider returns "data: [DONE]"
+                    continue
+
+                try:
+                    chunk_json: dict = json.loads(decoded_chunk)
+                # stream ended
+                except json.JSONDecodeError as e:
+                    yield create_final_llm_result_chunk(
+                        id=message_id,
+                        index=chunk_index + 1,
+                        message=AssistantPromptMessage(content=""),
+                        finish_reason="Non-JSON encountered.",
+                        usage=usage,
+                    )
+                    break
+                # handle the error here. for issue #11629
+                if chunk_json.get("error") and chunk_json.get("choices") is None:
+                    raise ValueError(chunk_json.get("error"))
+
+                if chunk_json:
+                    if u := chunk_json.get("usage"):
+                        usage = u
+                if not chunk_json or len(chunk_json["choices"]) == 0:
+                    continue
+
+                choice = chunk_json["choices"][0]
+                finish_reason = chunk_json["choices"][0].get("finish_reason")
+                message_id = chunk_json.get("id")
+                chunk_index += 1
+
+                if "delta" in choice:
+                    delta = choice["delta"]
+                    delta_content = delta.get("content")
+
+                    assistant_message_tool_calls = None
+
+                    if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
+                        assistant_message_tool_calls = delta.get("tool_calls", None)
+                    elif (
+                        "function_call" in delta
+                        and credentials.get("function_calling_type", "no_call") == "function_call"
+                    ):
+                        assistant_message_tool_calls = [
+                            {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
+                        ]
+
+                    # assistant_message_function_call = delta.delta.function_call
+
+                    # extract tool calls from response
+                    if assistant_message_tool_calls:
+                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
+                        increase_tool_call(tool_calls)
+
+                    if delta_content is None or delta_content == "":
+                        continue
+
+                    # Check for think tags
+                    if "<think>" in delta_content:
+                        is_reasoning_started = True
+                        # Remove <think> tag and add markdown quote
+                        delta_content = "> 💭 " + delta_content.replace("<think>", "")
+                    elif "</think>" in delta_content:
+                        # Remove </think> tag and add newlines to end quote block
+                        delta_content = delta_content.replace("</think>", "") + "\n\n"
+                        is_reasoning_started = False
+                    elif is_reasoning_started:
+                        # Add quote markers for content within thinking block
+                        if "\n\n" in delta_content:
+                            delta_content = delta_content.replace("\n\n", "\n> ")
+                        elif "\n" in delta_content:
+                            delta_content = delta_content.replace("\n", "\n> ")
+
+                    # transform assistant message to prompt message
+                    assistant_prompt_message = AssistantPromptMessage(
+                        content=delta_content,
+                    )
+
+                    # reset tool calls
+                    tool_calls = []
+                    full_assistant_content += delta_content
+                elif "text" in choice:
+                    choice_text = choice.get("text", "")
+                    if choice_text == "":
+                        continue
+
+                    # transform assistant message to prompt message
+                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
+                    full_assistant_content += choice_text
+                else:
+                    continue
+
+                yield LLMResultChunk(
+                    id=message_id,
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=chunk_index,
+                        message=assistant_prompt_message,
+                    ),
+                )
+
+            chunk_index += 1
+
+        if tools_calls:
+            yield LLMResultChunk(
+                id=message_id,
+                model=model,
+                prompt_messages=prompt_messages,
+                delta=LLMResultChunkDelta(
+                    index=chunk_index,
+                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
+                ),
+            )
+
+        yield create_final_llm_result_chunk(
+            id=message_id,
+            index=chunk_index,
+            message=AssistantPromptMessage(content=""),
+            finish_reason=finish_reason,
+            usage=usage,
+        )

From d876084392a06ade0d00566cd6147abc6aea8cdc Mon Sep 17 00:00:00 2001
From: Nam Vu <zuzoovn@gmail.com>
Date: Mon, 3 Feb 2025 10:02:14 +0700
Subject: [PATCH 098/217] chore: upgrade libldap2 (#13158)

---
 api/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/Dockerfile b/api/Dockerfile
index fd3532e32d..ee6199c8f7 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -55,7 +55,7 @@ RUN apt-get update \
     && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
     && apt-get update \
     # For Security
-    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.19+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
+    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap2=2.6.9+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
     # install a chinese font to support the use of tools like matplotlib
     && apt-get install -y fonts-noto-cjk \
     && apt-get autoremove -y \

From 87e2048f1b1c49a24cd98632a85ab5ce47fa3219 Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Mon, 3 Feb 2025 12:03:11 +0900
Subject: [PATCH 099/217] nitpick: fix small typos in template.en.mdx (#13156)

---
 web/app/components/develop/template/template.en.mdx | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/web/app/components/develop/template/template.en.mdx b/web/app/components/develop/template/template.en.mdx
index ea3b7f3d23..31c812958f 100755
--- a/web/app/components/develop/template/template.en.mdx
+++ b/web/app/components/develop/template/template.en.mdx
@@ -192,8 +192,8 @@ The text generation application offers non-session support and is ideal for tran
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -400,7 +400,7 @@ The text generation application offers non-session support and is ideal for tran
         For text messages generated by Dify, simply pass the generated message-id directly. The backend will use the message-id to look up the corresponding content and synthesize the voice information directly. If both message_id and text are provided simultaneously, the message_id is given priority.
       </Property>
       <Property name='text' type='str' key='text'>
-        Speech generated content。
+        Speech generated content.
       </Property>
       <Property name='user' type='string' key='user'>
         The user identifier, defined by the developer, must ensure uniqueness within the app.

From 7452032d81ec1ee800bb4bb0a838aef481412e0b Mon Sep 17 00:00:00 2001
From: Kei YAMAZAKI <1715090+kei-yamazaki@users.noreply.github.com>
Date: Mon, 3 Feb 2025 12:04:20 +0900
Subject: [PATCH 100/217] add azure openai api version 2024-12-01-preview
 (#13135)

---
 .../model_providers/azure_openai/azure_openai.yaml             | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
index a6ae47b28e..970b386b08 100644
--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
+++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
@@ -53,6 +53,9 @@ model_credential_schema:
       type: select
       required: true
       options:
+        - label:
+            en_US: 2024-12-01-preview
+          value: 2024-12-01-preview
         - label:
             en_US: 2024-10-01-preview
           value: 2024-10-01-preview

From 304467e3f515c1ff00ded5da3a25867972ee3127 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= <hjlarry@163.com>
Date: Mon, 3 Feb 2025 11:05:20 +0800
Subject: [PATCH 101/217] fix: not install libmagic raise error (#13146)

---
 api/Dockerfile                    |  2 ++
 api/controllers/common/helpers.py | 23 +++++++++++++++++++++--
 2 files changed, 23 insertions(+), 2 deletions(-)

diff --git a/api/Dockerfile b/api/Dockerfile
index ee6199c8f7..85a7349c9b 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -58,6 +58,8 @@ RUN apt-get update \
     && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap2=2.6.9+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
     # install a chinese font to support the use of tools like matplotlib
     && apt-get install -y fonts-noto-cjk \
+    # install libmagic to support the use of python-magic guess MIMETYPE
+    && apt-get install -y libmagic1 \
     && apt-get autoremove -y \
     && rm -rf /var/lib/apt/lists/*
 
diff --git a/api/controllers/common/helpers.py b/api/controllers/common/helpers.py
index fa42ce4c43..2979375169 100644
--- a/api/controllers/common/helpers.py
+++ b/api/controllers/common/helpers.py
@@ -1,13 +1,32 @@
 import mimetypes
 import os
+import platform
 import re
 import urllib.parse
+import warnings
 from collections.abc import Mapping
 from typing import Any
 from uuid import uuid4
 
 import httpx
-import magic
+
+try:
+    import magic
+except ImportError:
+    if platform.system() == "Windows":
+        warnings.warn(
+            "To use python-magic guess MIMETYPE, you need to run `pip install python-magic-bin`", stacklevel=2
+        )
+    elif platform.system() == "Darwin":
+        warnings.warn("To use python-magic guess MIMETYPE, you need to run `brew install libmagic`", stacklevel=2)
+    elif platform.system() == "Linux":
+        warnings.warn(
+            "To use python-magic guess MIMETYPE, you need to run `sudo apt-get install libmagic1`", stacklevel=2
+        )
+    else:
+        warnings.warn("To use python-magic guess MIMETYPE, you need to install `libmagic`", stacklevel=2)
+    magic = None  # type: ignore
+
 from pydantic import BaseModel
 
 from configs import dify_config
@@ -49,7 +68,7 @@ def guess_file_info_from_response(response: httpx.Response):
         mimetype = response.headers.get("Content-Type", "application/octet-stream")
 
     # Use python-magic to guess MIME type if still unknown or generic
-    if mimetype == "application/octet-stream":
+    if mimetype == "application/octet-stream" and magic is not None:
         try:
             mimetype = magic.from_buffer(response.content[:1024], mime=True)
         except magic.MagicException:

From 1b6fd9dfe8bffd231a54096685dfc055e2da781f Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Mon, 3 Feb 2025 12:06:03 +0900
Subject: [PATCH 102/217] fix: set indexing technique from dataset during
 update-by-text (#13155)

---
 api/controllers/service_api/dataset/document.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py
index b4c3a4c607..3053e75a0c 100644
--- a/api/controllers/service_api/dataset/document.py
+++ b/api/controllers/service_api/dataset/document.py
@@ -143,6 +143,9 @@ class DocumentUpdateByTextApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset is not exist.")
 
+        # indexing_technique is already set in dataset since this is an update
+        args["indexing_technique"] = dataset.indexing_technique
+
         # Validate metadata if provided
         if args.get("doc_type") or args.get("doc_metadata"):
             if not args.get("doc_type") or not args.get("doc_metadata"):

From 8fbc9c9342bad65126772983cf634e19540149be Mon Sep 17 00:00:00 2001
From: Obada Khalili <54270856+obadakhalili@users.noreply.github.com>
Date: Tue, 4 Feb 2025 03:26:01 +0200
Subject: [PATCH 103/217] Solve circular dependency issue between
 `workflow/constants.ts` file and `default.ts` file (#13165)

---
 web/app/components/workflow/blocks.tsx                       | 5 +++++
 web/app/components/workflow/constants.ts                     | 3 ---
 web/app/components/workflow/nodes/answer/default.ts          | 2 +-
 web/app/components/workflow/nodes/assigner/default.ts        | 2 +-
 web/app/components/workflow/nodes/code/default.ts            | 2 +-
 .../components/workflow/nodes/document-extractor/default.ts  | 2 +-
 web/app/components/workflow/nodes/end/default.ts             | 2 +-
 web/app/components/workflow/nodes/http/default.ts            | 2 +-
 web/app/components/workflow/nodes/if-else/default.ts         | 2 +-
 web/app/components/workflow/nodes/iteration-start/default.ts | 2 +-
 web/app/components/workflow/nodes/iteration/default.ts       | 2 +-
 .../components/workflow/nodes/knowledge-retrieval/default.ts | 2 +-
 web/app/components/workflow/nodes/list-operator/default.ts   | 2 +-
 web/app/components/workflow/nodes/llm/default.ts             | 2 +-
 .../components/workflow/nodes/parameter-extractor/default.ts | 2 +-
 .../components/workflow/nodes/question-classifier/default.ts | 2 +-
 web/app/components/workflow/nodes/start/default.ts           | 2 +-
 .../components/workflow/nodes/template-transform/default.ts  | 2 +-
 web/app/components/workflow/nodes/tool/default.ts            | 2 +-
 .../components/workflow/nodes/variable-assigner/default.ts   | 2 +-
 20 files changed, 23 insertions(+), 21 deletions(-)
 create mode 100644 web/app/components/workflow/blocks.tsx

diff --git a/web/app/components/workflow/blocks.tsx b/web/app/components/workflow/blocks.tsx
new file mode 100644
index 0000000000..334ddbf087
--- /dev/null
+++ b/web/app/components/workflow/blocks.tsx
@@ -0,0 +1,5 @@
+import { BlockEnum } from './types'
+
+export const ALL_AVAILABLE_BLOCKS = Object.values(BlockEnum)
+export const ALL_CHAT_AVAILABLE_BLOCKS = ALL_AVAILABLE_BLOCKS.filter(key => key !== BlockEnum.End && key !== BlockEnum.Start) as BlockEnum[]
+export const ALL_COMPLETION_AVAILABLE_BLOCKS = ALL_AVAILABLE_BLOCKS.filter(key => key !== BlockEnum.Answer && key !== BlockEnum.Start) as BlockEnum[]
diff --git a/web/app/components/workflow/constants.ts b/web/app/components/workflow/constants.ts
index d04163b853..5f52a75464 100644
--- a/web/app/components/workflow/constants.ts
+++ b/web/app/components/workflow/constants.ts
@@ -203,9 +203,6 @@ export const NODES_EXTRA_DATA: Record<BlockEnum, NodesExtraData> = {
 
 }
 
-export const ALL_CHAT_AVAILABLE_BLOCKS = Object.keys(NODES_EXTRA_DATA).filter(key => key !== BlockEnum.End && key !== BlockEnum.Start) as BlockEnum[]
-export const ALL_COMPLETION_AVAILABLE_BLOCKS = Object.keys(NODES_EXTRA_DATA).filter(key => key !== BlockEnum.Answer && key !== BlockEnum.Start) as BlockEnum[]
-
 export const NODES_INITIAL_DATA = {
   [BlockEnum.Start]: {
     type: BlockEnum.Start,
diff --git a/web/app/components/workflow/nodes/answer/default.ts b/web/app/components/workflow/nodes/answer/default.ts
index 431c03ab94..4ff6e49d7e 100644
--- a/web/app/components/workflow/nodes/answer/default.ts
+++ b/web/app/components/workflow/nodes/answer/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import type { AnswerNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<AnswerNodeType> = {
   defaultValue: {
diff --git a/web/app/components/workflow/nodes/assigner/default.ts b/web/app/components/workflow/nodes/assigner/default.ts
index 99f0a1c3d1..f443ae1d3b 100644
--- a/web/app/components/workflow/nodes/assigner/default.ts
+++ b/web/app/components/workflow/nodes/assigner/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import { type AssignerNodeType, WriteMode } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
 const nodeDefault: NodeDefault<AssignerNodeType> = {
diff --git a/web/app/components/workflow/nodes/code/default.ts b/web/app/components/workflow/nodes/code/default.ts
index fa9b9398a4..5f90c18716 100644
--- a/web/app/components/workflow/nodes/code/default.ts
+++ b/web/app/components/workflow/nodes/code/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import { CodeLanguage, type CodeNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const i18nPrefix = 'workflow.errorMsg'
 
diff --git a/web/app/components/workflow/nodes/document-extractor/default.ts b/web/app/components/workflow/nodes/document-extractor/default.ts
index 54045cc52e..4ffc64b72b 100644
--- a/web/app/components/workflow/nodes/document-extractor/default.ts
+++ b/web/app/components/workflow/nodes/document-extractor/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import { type DocExtractorNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
 const nodeDefault: NodeDefault<DocExtractorNodeType> = {
diff --git a/web/app/components/workflow/nodes/end/default.ts b/web/app/components/workflow/nodes/end/default.ts
index ceeda5b43b..25abfb5849 100644
--- a/web/app/components/workflow/nodes/end/default.ts
+++ b/web/app/components/workflow/nodes/end/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import { type EndNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<EndNodeType> = {
   defaultValue: {
diff --git a/web/app/components/workflow/nodes/http/default.ts b/web/app/components/workflow/nodes/http/default.ts
index f506c934a2..1bd584eeb9 100644
--- a/web/app/components/workflow/nodes/http/default.ts
+++ b/web/app/components/workflow/nodes/http/default.ts
@@ -5,7 +5,7 @@ import type { BodyPayload, HttpNodeType } from './types'
 import {
   ALL_CHAT_AVAILABLE_BLOCKS,
   ALL_COMPLETION_AVAILABLE_BLOCKS,
-} from '@/app/components/workflow/constants'
+} from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<HttpNodeType> = {
   defaultValue: {
diff --git a/web/app/components/workflow/nodes/if-else/default.ts b/web/app/components/workflow/nodes/if-else/default.ts
index 1c994a37d4..8d98f694bd 100644
--- a/web/app/components/workflow/nodes/if-else/default.ts
+++ b/web/app/components/workflow/nodes/if-else/default.ts
@@ -2,7 +2,7 @@ import { BlockEnum, type NodeDefault } from '../../types'
 import { type IfElseNodeType, LogicalOperator } from './types'
 import { isEmptyRelatedOperator } from './utils'
 import { TransferMethod } from '@/types/app'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
 const nodeDefault: NodeDefault<IfElseNodeType> = {
diff --git a/web/app/components/workflow/nodes/iteration-start/default.ts b/web/app/components/workflow/nodes/iteration-start/default.ts
index d98efa7ba2..c93b472259 100644
--- a/web/app/components/workflow/nodes/iteration-start/default.ts
+++ b/web/app/components/workflow/nodes/iteration-start/default.ts
@@ -1,6 +1,6 @@
 import type { NodeDefault } from '../../types'
 import type { IterationStartNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<IterationStartNodeType> = {
   defaultValue: {},
diff --git a/web/app/components/workflow/nodes/iteration/default.ts b/web/app/components/workflow/nodes/iteration/default.ts
index cdef268adb..0ef8382abe 100644
--- a/web/app/components/workflow/nodes/iteration/default.ts
+++ b/web/app/components/workflow/nodes/iteration/default.ts
@@ -4,7 +4,7 @@ import type { IterationNodeType } from './types'
 import {
   ALL_CHAT_AVAILABLE_BLOCKS,
   ALL_COMPLETION_AVAILABLE_BLOCKS,
-} from '@/app/components/workflow/constants'
+} from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow'
 
 const nodeDefault: NodeDefault<IterationNodeType> = {
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/default.ts b/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
index e902d29b96..09da8dd789 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
@@ -2,7 +2,7 @@ import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import type { KnowledgeRetrievalNodeType } from './types'
 import { checkoutRerankModelConfigedInRetrievalSettings } from './utils'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 import { DATASET_DEFAULT } from '@/config'
 import { RETRIEVE_TYPE } from '@/types/app'
 const i18nPrefix = 'workflow'
diff --git a/web/app/components/workflow/nodes/list-operator/default.ts b/web/app/components/workflow/nodes/list-operator/default.ts
index fe8773a914..0256cb8673 100644
--- a/web/app/components/workflow/nodes/list-operator/default.ts
+++ b/web/app/components/workflow/nodes/list-operator/default.ts
@@ -2,7 +2,7 @@ import { BlockEnum, VarType } from '../../types'
 import type { NodeDefault } from '../../types'
 import { comparisonOperatorNotRequireValue } from '../if-else/utils'
 import { type ListFilterNodeType, OrderBy } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
 const nodeDefault: NodeDefault<ListFilterNodeType> = {
diff --git a/web/app/components/workflow/nodes/llm/default.ts b/web/app/components/workflow/nodes/llm/default.ts
index cddfafcb12..92377f74b8 100644
--- a/web/app/components/workflow/nodes/llm/default.ts
+++ b/web/app/components/workflow/nodes/llm/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum, EditionType } from '../../types'
 import { type NodeDefault, type PromptItem, PromptRole } from '../../types'
 import type { LLMNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const i18nPrefix = 'workflow.errorMsg'
 
diff --git a/web/app/components/workflow/nodes/parameter-extractor/default.ts b/web/app/components/workflow/nodes/parameter-extractor/default.ts
index 69bb67eb9b..0e3b707d30 100644
--- a/web/app/components/workflow/nodes/parameter-extractor/default.ts
+++ b/web/app/components/workflow/nodes/parameter-extractor/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import { type ParameterExtractorNodeType, ReasoningModeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow'
 
 const nodeDefault: NodeDefault<ParameterExtractorNodeType> = {
diff --git a/web/app/components/workflow/nodes/question-classifier/default.ts b/web/app/components/workflow/nodes/question-classifier/default.ts
index b01db041da..2729c53f29 100644
--- a/web/app/components/workflow/nodes/question-classifier/default.ts
+++ b/web/app/components/workflow/nodes/question-classifier/default.ts
@@ -1,7 +1,7 @@
 import type { NodeDefault } from '../../types'
 import { BlockEnum } from '../../types'
 import type { QuestionClassifierNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const i18nPrefix = 'workflow'
 
diff --git a/web/app/components/workflow/nodes/start/default.ts b/web/app/components/workflow/nodes/start/default.ts
index a3c7ae1560..98f24c5d98 100644
--- a/web/app/components/workflow/nodes/start/default.ts
+++ b/web/app/components/workflow/nodes/start/default.ts
@@ -1,6 +1,6 @@
 import type { NodeDefault } from '../../types'
 import type { StartNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<StartNodeType> = {
   defaultValue: {
diff --git a/web/app/components/workflow/nodes/template-transform/default.ts b/web/app/components/workflow/nodes/template-transform/default.ts
index 14dd6989ed..c698680342 100644
--- a/web/app/components/workflow/nodes/template-transform/default.ts
+++ b/web/app/components/workflow/nodes/template-transform/default.ts
@@ -1,7 +1,7 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import type { TemplateTransformNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
 const nodeDefault: NodeDefault<TemplateTransformNodeType> = {
diff --git a/web/app/components/workflow/nodes/tool/default.ts b/web/app/components/workflow/nodes/tool/default.ts
index 3b7f990a9f..f245929684 100644
--- a/web/app/components/workflow/nodes/tool/default.ts
+++ b/web/app/components/workflow/nodes/tool/default.ts
@@ -2,7 +2,7 @@ import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
 import type { ToolNodeType } from './types'
 import { VarType as VarKindType } from '@/app/components/workflow/nodes/tool/types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const i18nPrefix = 'workflow.errorMsg'
 
diff --git a/web/app/components/workflow/nodes/variable-assigner/default.ts b/web/app/components/workflow/nodes/variable-assigner/default.ts
index b30e64961d..49e497e2c9 100644
--- a/web/app/components/workflow/nodes/variable-assigner/default.ts
+++ b/web/app/components/workflow/nodes/variable-assigner/default.ts
@@ -1,7 +1,7 @@
 import { type NodeDefault, VarType } from '../../types'
 import { BlockEnum } from '../../types'
 import type { VariableAssignerNodeType } from './types'
-import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/constants'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const i18nPrefix = 'workflow'
 

From d4c916b496cd0520686ca9704009ba8411597763 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Tue, 4 Feb 2025 12:01:28 +0800
Subject: [PATCH 104/217] chore(pyproject): Add type stubs into
 `pyproject.toml` (#13145)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/poetry.lock    | 259 ++++++++++++++++++++++++++++++++++-----------
 api/pyproject.toml |  16 ++-
 2 files changed, 215 insertions(+), 60 deletions(-)

diff --git a/api/poetry.lock b/api/poetry.lock
index 1f72270dd4..5e8a4e06ee 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -922,7 +922,7 @@ version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools"]
+groups = ["main", "dev", "tools"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
@@ -1043,10 +1043,6 @@ files = [
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
     {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
     {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
     {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"},
@@ -1059,14 +1055,8 @@ files = [
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
     {file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"},
     {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
-    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
-    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
     {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"},
@@ -1077,24 +1067,8 @@ files = [
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180"},
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248"},
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966"},
-    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"},
-    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"},
-    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111"},
-    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839"},
     {file = "Brotli-1.1.0-cp312-cp312-win32.whl", hash = "sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0"},
     {file = "Brotli-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951"},
-    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"},
-    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8"},
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-    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284"},
-    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7"},
-    {file = "Brotli-1.1.0-cp313-cp313-win32.whl", hash = "sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0"},
-    {file = "Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b"},
     {file = "Brotli-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b"},
@@ -1104,10 +1078,6 @@ files = [
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 python-versions = ">=3.7"
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 python-versions = ">=3.9"
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 python-versions = ">=3.7"
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 [package.extras]
 docs = ["Sphinx", "furo"]
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 optional = false
 python-versions = ">=3.8"
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 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "tools"]
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 optional = false
 python-versions = ">=3.9"
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 optional = false
 python-versions = ">=3.7"
-groups = ["main", "tools", "vdb"]
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 files = [
     {file = "SQLAlchemy-2.0.35-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67219632be22f14750f0d1c70e62f204ba69d28f62fd6432ba05ab295853de9b"},
@@ -10887,26 +10846,179 @@ rich = ">=10.11.0"
 shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
+[[package]]
+name = "types-beautifulsoup4"
+version = "4.12.0.20241020"
+description = "Typing stubs for beautifulsoup4"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types-beautifulsoup4-4.12.0.20241020.tar.gz", hash = "sha256:158370d08d0cd448bd11b132a50ff5279237a5d4b5837beba074de152a513059"},
+    {file = "types_beautifulsoup4-4.12.0.20241020-py3-none-any.whl", hash = "sha256:c95e66ce15a4f5f0835f7fbc5cd886321ae8294f977c495424eaf4225307fd30"},
+]
+
+[package.dependencies]
+types-html5lib = "*"
+
+[[package]]
+name = "types-flask-cors"
+version = "5.0.0.20240902"
+description = "Typing stubs for Flask-Cors"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types-Flask-Cors-5.0.0.20240902.tar.gz", hash = "sha256:8921b273bf7cd9636df136b66408efcfa6338a935e5c8f53f5eff1cee03f3394"},
+    {file = "types_Flask_Cors-5.0.0.20240902-py3-none-any.whl", hash = "sha256:595e5f36056cd128ab905832e055f2e5d116fbdc685356eea4490bc77df82137"},
+]
+
+[package.dependencies]
+Flask = ">=2.0.0"
+
+[[package]]
+name = "types-flask-migrate"
+version = "4.1.0.20250112"
+description = "Typing stubs for Flask-Migrate"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_Flask_Migrate-4.1.0.20250112-py3-none-any.whl", hash = "sha256:1814fffc609c2ead784affd011de92f0beecd48044963a8c898dd107dc1b5969"},
+    {file = "types_flask_migrate-4.1.0.20250112.tar.gz", hash = "sha256:f2d2c966378ae7bb0660ec810e9af0a56ca03108235364c2a7b5e90418b0ff67"},
+]
+
+[package.dependencies]
+Flask = ">=2.0.0"
+Flask-SQLAlchemy = ">=3.0.1"
+
+[[package]]
+name = "types-html5lib"
+version = "1.1.11.20241018"
+description = "Typing stubs for html5lib"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types-html5lib-1.1.11.20241018.tar.gz", hash = "sha256:98042555ff78d9e3a51c77c918b1041acbb7eb6c405408d8a9e150ff5beccafa"},
+    {file = "types_html5lib-1.1.11.20241018-py3-none-any.whl", hash = "sha256:3f1e064d9ed2c289001ae6392c84c93833abb0816165c6ff0abfc304a779f403"},
+]
+
+[[package]]
+name = "types-openpyxl"
+version = "3.1.5.20241225"
+description = "Typing stubs for openpyxl"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_openpyxl-3.1.5.20241225-py3-none-any.whl", hash = "sha256:903d92f58f42135b0614d609868c619aee12e1c7b65ccf8472dfd2706bcc6f47"},
+    {file = "types_openpyxl-3.1.5.20241225.tar.gz", hash = "sha256:3c076f4c6f114e1859b6857ffd486e96c938c0434451c60dc54c2bcb62750d78"},
+]
+
+[[package]]
+name = "types-protobuf"
+version = "5.29.1.20241207"
+description = "Typing stubs for protobuf"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_protobuf-5.29.1.20241207-py3-none-any.whl", hash = "sha256:92893c42083e9b718c678badc0af7a9a1307b92afe1599e5cba5f3d35b668b2f"},
+    {file = "types_protobuf-5.29.1.20241207.tar.gz", hash = "sha256:2ebcadb8ab3ef2e3e2f067e0882906d64ba0dc65fc5b0fd7a8b692315b4a0be9"},
+]
+
+[[package]]
+name = "types-psutil"
+version = "6.1.0.20241221"
+description = "Typing stubs for psutil"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_psutil-6.1.0.20241221-py3-none-any.whl", hash = "sha256:8498dbe13285a9ba7d4b2fa934c569cc380efc74e3dacdb34ae16d2cdf389ec3"},
+    {file = "types_psutil-6.1.0.20241221.tar.gz", hash = "sha256:600f5a36bd5e0eb8887f0e3f3ff2cf154d90690ad8123c8a707bba4ab94d3185"},
+]
+
+[[package]]
+name = "types-psycopg2"
+version = "2.9.21.20250121"
+description = "Typing stubs for psycopg2"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_psycopg2-2.9.21.20250121-py3-none-any.whl", hash = "sha256:b890dc6f5a08b6433f0ff73a4ec9a834deedad3e914f2a4a6fd43df021f745f1"},
+    {file = "types_psycopg2-2.9.21.20250121.tar.gz", hash = "sha256:2b0e2cd0f3747af1ae25a7027898716d80209604770ef3cbf350fe055b9c349b"},
+]
+
+[[package]]
+name = "types-python-dateutil"
+version = "2.9.0.20241206"
+description = "Typing stubs for python-dateutil"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
+    {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
+]
+
 [[package]]
 name = "types-pytz"
 version = "2024.2.0.20241221"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types_pytz-2024.2.0.20241221-py3-none-any.whl", hash = "sha256:8fc03195329c43637ed4f593663df721fef919b60a969066e22606edf0b53ad5"},
     {file = "types_pytz-2024.2.0.20241221.tar.gz", hash = "sha256:06d7cde9613e9f7504766a0554a270c369434b50e00975b3a4a0f6eed0f2c1a9"},
 ]
 
+[[package]]
+name = "types-pyyaml"
+version = "6.0.12.20241230"
+description = "Typing stubs for PyYAML"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
+    {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
+]
+
+[[package]]
+name = "types-regex"
+version = "2024.11.6.20241221"
+description = "Typing stubs for regex"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_regex-2024.11.6.20241221-py3-none-any.whl", hash = "sha256:9d29ab639df22a86e15e2cc037e92ad100a4e8f4ecd2ad261d6f0c6d8d87f54e"},
+    {file = "types_regex-2024.11.6.20241221.tar.gz", hash = "sha256:903c7b557d935363ba01f07a75981c78ada7df66623e415f32bda2afecfa5cca"},
+]
+
 [[package]]
 name = "types-requests"
 version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
@@ -10916,6 +11028,35 @@ files = [
 [package.dependencies]
 urllib3 = ">=2"
 
+[[package]]
+name = "types-six"
+version = "1.17.0.20241205"
+description = "Typing stubs for six"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_six-1.17.0.20241205-py3-none-any.whl", hash = "sha256:a4947c2bdcd9ab69d44466a533a15839ff48ddc27223615cb8145d73ab805bc2"},
+    {file = "types_six-1.17.0.20241205.tar.gz", hash = "sha256:1f662347a8f3b2bf30517d629d82f591420df29811794b0bf3804e14d716f6e0"},
+]
+
+[[package]]
+name = "types-tqdm"
+version = "4.67.0.20241221"
+description = "Typing stubs for tqdm"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "types_tqdm-4.67.0.20241221-py3-none-any.whl", hash = "sha256:a1f1c9cda5c2d8482d2c73957a5398bfdedda10f6bc7b3b4e812d5c910486d29"},
+    {file = "types_tqdm-4.67.0.20241221.tar.gz", hash = "sha256:e56046631056922385abe89aeb18af5611f471eadd7918a0ad7f34d84cd4c8cc"},
+]
+
+[package.dependencies]
+types-requests = "*"
+
 [[package]]
 name = "typing-extensions"
 version = "4.12.2"
@@ -11171,7 +11312,7 @@ version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "dev", "storage", "tools", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
@@ -11666,7 +11807,7 @@ version = "3.1.3"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools"]
+groups = ["main", "dev", "tools"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
@@ -12247,4 +12388,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "a8fff72e974a1bd5c28f4ae326d120410a5628ad0bc65d87adca4e943130ec8f"
+content-hash = "6243573a26b9aa03558eb2c176d2477a08b1033a17065e870e4be83af0af644d"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 8c4d5fd283..90819ef23f 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -88,7 +88,6 @@ tencentcloud-sdk-python-hunyuan = "~3.0.1294"
 tiktoken = "~0.8.0"
 tokenizers = "~0.15.0"
 transformers = "~4.35.0"
-types-pytz = "~2024.2.0.20241003"
 unstructured = { version = "~0.16.1", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] }
 validators = "0.21.0"
 volcengine-python-sdk = {extras = ["ark"], version = "~1.0.98"}
@@ -183,6 +182,21 @@ pytest = "~8.3.2"
 pytest-benchmark = "~4.0.0"
 pytest-env = "~1.1.3"
 pytest-mock = "~3.14.0"
+types-beautifulsoup4 = "~4.12.0.20241020"
+types-flask-cors = "~5.0.0.20240902"
+types-flask-migrate = "~4.1.0.20250112"
+types-html5lib = "~1.1.11.20241018"
+types-openpyxl = "~3.1.5.20241225"
+types-protobuf = "~5.29.1.20241207"
+types-psutil = "~6.1.0.20241221"
+types-psycopg2 = "~2.9.21.20250121"
+types-python-dateutil = "~2.9.0.20241206"
+types-pytz = "~2024.2.0.20241221"
+types-pyyaml = "~6.0.12.20241230"
+types-regex = "~2024.11.6.20241221"
+types-requests = "~2.32.0.20241016"
+types-six = "~1.17.0.20241205"
+types-tqdm = "~4.67.0.20241221"
 
 ############################################################
 # [ Lint ] dependency group

From e9e34c1ab24154dd666156d0231d800ecbe3bdfd Mon Sep 17 00:00:00 2001
From: TechnoHouse <13776377+deephbz@users.noreply.github.com>
Date: Wed, 5 Feb 2025 10:07:22 +0800
Subject: [PATCH 105/217] Install apt dependencies using bookworm source,
 consistent with base image. Remove unnecessary, error-prone pins (#13176)

---
 api/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/Dockerfile b/api/Dockerfile
index 85a7349c9b..bcd2b3fd3b 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -52,10 +52,10 @@ RUN apt-get update \
     && apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
     # if you located in China, you can use aliyun mirror to speed up
     # && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
-    && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
+    && echo "deb http://deb.debian.org/debian bookworm main" > /etc/apt/sources.list \
     && apt-get update \
     # For Security
-    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap2=2.6.9+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
+    && apt-get install -y --no-install-recommends expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
     # install a chinese font to support the use of tools like matplotlib
     && apt-get install -y fonts-noto-cjk \
     # install libmagic to support the use of python-magic guess MIMETYPE

From 55ce3618ce9ca4852be44561ec3d2d7d396fd973 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Tue, 4 Feb 2025 22:00:56 -0500
Subject: [PATCH 106/217] fix: Dollar Sign Handling in Markdown (#13178)

Co-authored-by: crazywoola <427733928@qq.com>
---
 web/app/components/base/markdown.tsx | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx
index b77dee9a61..b26d9df30e 100644
--- a/web/app/components/base/markdown.tsx
+++ b/web/app/components/base/markdown.tsx
@@ -229,7 +229,11 @@ export function Markdown(props: { content: string; className?: string }) {
   return (
     <div className={cn(props.className, 'markdown-body')}>
       <ReactMarkdown
-        remarkPlugins={[RemarkGfm, RemarkMath, RemarkBreaks]}
+        remarkPlugins={[
+          RemarkGfm,
+          [RemarkMath, { singleDollarTextMath: false }],
+          RemarkBreaks,
+        ]}
         rehypePlugins={[
           RehypeKatex,
           RehypeRaw as any,

From 2ad7ee034421cc77ff10e9067769a5c372b7b475 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Wed, 5 Feb 2025 11:40:22 +0800
Subject: [PATCH 107/217] chore: add tests for build docker image when
 dockerfile changed (#10732)

---
 .github/workflows/docker-build.yml | 47 ++++++++++++++++++++++++++++++
 api/Dockerfile                     |  1 -
 web/Dockerfile                     |  1 -
 3 files changed, 47 insertions(+), 2 deletions(-)
 create mode 100644 .github/workflows/docker-build.yml

diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml
new file mode 100644
index 0000000000..cf7e77b4b8
--- /dev/null
+++ b/.github/workflows/docker-build.yml
@@ -0,0 +1,47 @@
+name: Build docker image
+
+on:
+  pull_request:
+    branches:
+      - "main"
+    paths:
+      - api/Dockerfile
+      - web/Dockerfile
+
+concurrency:
+  group: docker-build-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  build-docker:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        include:
+          - service_name: "api-amd64"
+            platform: linux/amd64
+            context: "api"
+          - service_name: "api-arm64"
+            platform: linux/arm64
+            context: "api"
+          - service_name: "web-amd64"
+            platform: linux/amd64
+            context: "web"
+          - service_name: "web-arm64"
+            platform: linux/arm64
+            context: "web"
+    steps:
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build Docker Image
+        uses: docker/build-push-action@v6
+        with:
+          push: false
+          context: "{{defaultContext}}:${{ matrix.context }}"
+          platforms: ${{ matrix.platform }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
diff --git a/api/Dockerfile b/api/Dockerfile
index bcd2b3fd3b..cf18ad8c89 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -78,7 +78,6 @@ COPY . /app/api/
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
-
 ARG COMMIT_SHA
 ENV COMMIT_SHA=${COMMIT_SHA}
 
diff --git a/web/Dockerfile b/web/Dockerfile
index 6118adbca4..6c341fac4e 100644
--- a/web/Dockerfile
+++ b/web/Dockerfile
@@ -63,7 +63,6 @@ RUN yarn global add pm2 \
     && chown -R 1001:0 /.pm2 /app/web \
     && chmod -R g=u /.pm2 /app/web
 
-
 ARG COMMIT_SHA
 ENV COMMIT_SHA=${COMMIT_SHA}
 

From 03243cb422766236d2227fc456acdc55c89316da Mon Sep 17 00:00:00 2001
From: Warren Chen <warren.chen830@gmail.com>
Date: Wed, 5 Feb 2025 12:17:42 +0800
Subject: [PATCH 108/217] Modify params for bedrock retrieve generate (#13182)

---
 .../builtin/aws/tools/bedrock_config.py       | 114 ------
 .../builtin/aws/tools/bedrock_retrieve.py     |  32 +-
 .../builtin/aws/tools/bedrock_retrieve.yaml   |  69 +++-
 .../tools/bedrock_retrieve_and_generate.py    | 353 ++++--------------
 .../tools/bedrock_retrieve_and_generate.yaml  | 330 +++-------------
 api/poetry.lock                               |  63 +++-
 api/pyproject.toml                            |   2 +-
 sdks/python-client/tests/test_client.py       |   2 +-
 8 files changed, 277 insertions(+), 688 deletions(-)
 delete mode 100644 api/core/tools/provider/builtin/aws/tools/bedrock_config.py

diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_config.py b/api/core/tools/provider/builtin/aws/tools/bedrock_config.py
deleted file mode 100644
index ec6a15cdb6..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_config.py
+++ /dev/null
@@ -1,114 +0,0 @@
-"""
-Configuration classes for AWS Bedrock retrieve and generate API
-"""
-
-from dataclasses import dataclass
-from typing import Any, Literal, Optional
-
-
-@dataclass
-class TextInferenceConfig:
-    """Text inference configuration"""
-
-    maxTokens: Optional[int] = None
-    stopSequences: Optional[list[str]] = None
-    temperature: Optional[float] = None
-    topP: Optional[float] = None
-
-
-@dataclass
-class PerformanceConfig:
-    """Performance configuration"""
-
-    latency: Literal["standard", "optimized"]
-
-
-@dataclass
-class PromptTemplate:
-    """Prompt template configuration"""
-
-    textPromptTemplate: str
-
-
-@dataclass
-class GuardrailConfig:
-    """Guardrail configuration"""
-
-    guardrailId: str
-    guardrailVersion: str
-
-
-@dataclass
-class GenerationConfig:
-    """Generation configuration"""
-
-    additionalModelRequestFields: Optional[dict[str, Any]] = None
-    guardrailConfiguration: Optional[GuardrailConfig] = None
-    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
-    performanceConfig: Optional[PerformanceConfig] = None
-    promptTemplate: Optional[PromptTemplate] = None
-
-
-@dataclass
-class VectorSearchConfig:
-    """Vector search configuration"""
-
-    filter: Optional[dict[str, Any]] = None
-    numberOfResults: Optional[int] = None
-    overrideSearchType: Optional[Literal["HYBRID", "SEMANTIC"]] = None
-
-
-@dataclass
-class RetrievalConfig:
-    """Retrieval configuration"""
-
-    vectorSearchConfiguration: VectorSearchConfig
-
-
-@dataclass
-class OrchestrationConfig:
-    """Orchestration configuration"""
-
-    additionalModelRequestFields: Optional[dict[str, Any]] = None
-    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
-    performanceConfig: Optional[PerformanceConfig] = None
-    promptTemplate: Optional[PromptTemplate] = None
-
-
-@dataclass
-class KnowledgeBaseConfig:
-    """Knowledge base configuration"""
-
-    generationConfiguration: GenerationConfig
-    knowledgeBaseId: str
-    modelArn: str
-    orchestrationConfiguration: Optional[OrchestrationConfig] = None
-    retrievalConfiguration: Optional[RetrievalConfig] = None
-
-
-@dataclass
-class SessionConfig:
-    """Session configuration"""
-
-    kmsKeyArn: Optional[str] = None
-    sessionId: Optional[str] = None
-
-
-@dataclass
-class RetrieveAndGenerateConfiguration:
-    """Retrieve and generate configuration
-    The use of knowledgeBaseConfiguration or externalSourcesConfiguration depends on the type value
-    """
-
-    type: str = "KNOWLEDGE_BASE"
-    knowledgeBaseConfiguration: Optional[KnowledgeBaseConfig] = None
-
-
-@dataclass
-class RetrieveAndGenerateConfig:
-    """Retrieve and generate main configuration"""
-
-    input: dict[str, str]
-    retrieveAndGenerateConfiguration: RetrieveAndGenerateConfiguration
-    sessionConfiguration: Optional[SessionConfig] = None
-    sessionId: Optional[str] = None
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py
index 2e6a9740c2..19e7bfa76e 100644
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py
@@ -77,15 +77,27 @@ class BedrockRetrieveTool(BuiltinTool):
         """
         invoke tools
         """
-        line = 0
         try:
+            line = 0
+            # Initialize Bedrock client if not already initialized
             if not self.bedrock_client:
                 aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.bedrock_client = boto3.client("bedrock-agent-runtime", region_name=aws_region)
-                else:
-                    self.bedrock_client = boto3.client("bedrock-agent-runtime")
+                aws_access_key_id = tool_parameters.get("aws_access_key_id")
+                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
 
+                client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None}
+
+                # Only add credentials if both access key and secret key are provided
+                if aws_access_key_id and aws_secret_access_key:
+                    client_kwargs.update(
+                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
+                    )
+
+                self.bedrock_client = boto3.client(**client_kwargs)
+        except Exception as e:
+            return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
+
+        try:
             line = 1
             if not self.knowledge_base_id:
                 self.knowledge_base_id = tool_parameters.get("knowledge_base_id")
@@ -123,7 +135,14 @@ class BedrockRetrieveTool(BuiltinTool):
             sorted_docs = sorted(retrieved_docs, key=operator.itemgetter("score"), reverse=True)
 
             line = 6
-            return [self.create_json_message(res) for res in sorted_docs]
+            result_type = tool_parameters.get("result_type")
+            if result_type == "json":
+                return [self.create_json_message(res) for res in sorted_docs]
+            else:
+                text = ""
+                for i, res in enumerate(sorted_docs):
+                    text += f"{i + 1}: {res['content']}\n"
+                return self.create_text_message(text)
 
         except Exception as e:
             return self.create_text_message(f"Exception {str(e)}, line : {line}")
@@ -138,7 +157,6 @@ class BedrockRetrieveTool(BuiltinTool):
         if not parameters.get("query"):
             raise ValueError("query is required")
 
-        # 可选：可以验证元数据过滤条件是否为有效的 JSON 字符串（如果提供）
         metadata_filter_str = parameters.get("metadata_filter")
         if metadata_filter_str and not isinstance(json.loads(metadata_filter_str), dict):
             raise ValueError("metadata_filter must be a valid JSON object")
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml
index f8d1d1d49d..d0c520b392 100644
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml
@@ -15,6 +15,60 @@ description:
   llm: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. You can find deploy instructions on Github Repo - https://github.com/aws-samples/dify-aws-tool
 
 parameters:
+  - name: aws_region
+    type: string
+    required: false
+    label:
+      en_US: AWS Region
+      zh_Hans: AWS区域
+    human_description:
+      en_US: AWS region for the Bedrock service
+      zh_Hans: Bedrock服务的AWS区域
+    form: form
+
+  - name: aws_access_key_id
+    type: string
+    required: false
+    label:
+      en_US: AWS Access Key ID
+      zh_Hans: AWS访问密钥ID
+    human_description:
+      en_US: AWS access key ID for authentication (optional)
+      zh_Hans: 用于身份验证的AWS访问密钥ID（可选）
+    form: form
+
+  - name: aws_secret_access_key
+    type: string
+    required: false
+    label:
+      en_US: AWS Secret Access Key
+      zh_Hans: AWS秘密访问密钥
+    human_description:
+      en_US: AWS secret access key for authentication (optional)
+      zh_Hans: 用于身份验证的AWS秘密访问密钥（可选）
+    form: form
+
+  - name: result_type
+    type: select
+    required: true
+    label:
+      en_US: result type
+      zh_Hans: 结果类型
+    human_description:
+      en_US: return a list of json or texts
+      zh_Hans: 返回一个列表，内容是json还是纯文本
+    default: text
+    options:
+      - value: json
+        label:
+          en_US: JSON
+          zh_Hans: JSON
+      - value: text
+        label:
+          en_US: Text
+          zh_Hans: 文本
+    form: form
+
   - name: knowledge_base_id
     type: string
     required: true
@@ -95,6 +149,7 @@ parameters:
       zh_Hans: 重拍模型ID
       pt_BR: rerank model id
     llm_description: rerank model id
+    default: default
     options:
       - value: default
         label:
@@ -110,20 +165,6 @@ parameters:
           zh_Hans: amazon.rerank-v1:0
     form: form
 
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS 区域
-      pt_BR: AWS Region
-    human_description:
-      en_US: AWS region where the Bedrock Knowledge Base is located
-      zh_Hans: Bedrock知识库所在的AWS区域
-      pt_BR: AWS region where the Bedrock Knowledge Base is located
-    llm_description: AWS region where the Bedrock Knowledge Base is located
-    form: form
-
   - name: metadata_filter   # Additional parameter for metadata filtering
     type: string            # String type, expects JSON-formatted filter conditions
     required: false         # Optional field - can be omitted
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
index 2713cf7546..3717aac344 100644
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
@@ -1,5 +1,5 @@
 import json
-from typing import Any, Optional
+from typing import Any
 
 import boto3
 
@@ -10,193 +10,63 @@ from core.tools.tool.builtin_tool import BuiltinTool
 class BedrockRetrieveAndGenerateTool(BuiltinTool):
     bedrock_client: Any = None
 
-    def _create_text_inference_config(
+    def _invoke(
         self,
-        max_tokens: Optional[int] = None,
-        stop_sequences: Optional[str] = None,
-        temperature: Optional[float] = None,
-        top_p: Optional[float] = None,
-    ) -> Optional[dict]:
-        """Create text inference configuration"""
-        if any([max_tokens, stop_sequences, temperature, top_p]):
-            config = {}
-            if max_tokens is not None:
-                config["maxTokens"] = max_tokens
-            if stop_sequences:
-                try:
-                    config["stopSequences"] = json.loads(stop_sequences)
-                except json.JSONDecodeError:
-                    config["stopSequences"] = []
-            if temperature is not None:
-                config["temperature"] = temperature
-            if top_p is not None:
-                config["topP"] = top_p
-            return config
-        return None
-
-    def _create_guardrail_config(
-        self,
-        guardrail_id: Optional[str] = None,
-        guardrail_version: Optional[str] = None,
-    ) -> Optional[dict]:
-        """Create guardrail configuration"""
-        if guardrail_id and guardrail_version:
-            return {"guardrailId": guardrail_id, "guardrailVersion": guardrail_version}
-        return None
-
-    def _create_generation_config(
-        self,
-        additional_model_fields: Optional[str] = None,
-        guardrail_config: Optional[dict] = None,
-        text_inference_config: Optional[dict] = None,
-        performance_mode: Optional[str] = None,
-        prompt_template: Optional[str] = None,
-    ) -> dict:
-        """Create generation configuration"""
-        config = {}
-
-        if additional_model_fields:
-            try:
-                config["additionalModelRequestFields"] = json.loads(additional_model_fields)
-            except json.JSONDecodeError:
-                pass
-
-        if guardrail_config:
-            config["guardrailConfiguration"] = guardrail_config
-
-        if text_inference_config:
-            config["inferenceConfig"] = {"textInferenceConfig": text_inference_config}
-
-        if performance_mode:
-            config["performanceConfig"] = {"latency": performance_mode}
-
-        if prompt_template:
-            config["promptTemplate"] = {"textPromptTemplate": prompt_template}
-
-        return config
-
-    def _create_orchestration_config(
-        self,
-        orchestration_additional_model_fields: Optional[str] = None,
-        orchestration_text_inference_config: Optional[dict] = None,
-        orchestration_performance_mode: Optional[str] = None,
-        orchestration_prompt_template: Optional[str] = None,
-    ) -> dict:
-        """Create orchestration configuration"""
-        config = {}
-
-        if orchestration_additional_model_fields:
-            try:
-                config["additionalModelRequestFields"] = json.loads(orchestration_additional_model_fields)
-            except json.JSONDecodeError:
-                pass
-
-        if orchestration_text_inference_config:
-            config["inferenceConfig"] = {"textInferenceConfig": orchestration_text_inference_config}
-
-        if orchestration_performance_mode:
-            config["performanceConfig"] = {"latency": orchestration_performance_mode}
-
-        if orchestration_prompt_template:
-            config["promptTemplate"] = {"textPromptTemplate": orchestration_prompt_template}
-
-        return config
-
-    def _create_vector_search_config(
-        self,
-        number_of_results: int = 5,
-        search_type: str = "SEMANTIC",
-        metadata_filter: Optional[dict] = None,
-    ) -> dict:
-        """Create vector search configuration"""
-        config = {
-            "numberOfResults": number_of_results,
-            "overrideSearchType": search_type,
-        }
-
-        # Only add filter if metadata_filter is not empty
-        if metadata_filter:
-            config["filter"] = metadata_filter
-
-        return config
-
-    def _bedrock_retrieve_and_generate(
-        self,
-        query: str,
-        knowledge_base_id: str,
-        model_arn: str,
-        # Generation Configuration
-        additional_model_fields: Optional[str] = None,
-        guardrail_id: Optional[str] = None,
-        guardrail_version: Optional[str] = None,
-        max_tokens: Optional[int] = None,
-        stop_sequences: Optional[str] = None,
-        temperature: Optional[float] = None,
-        top_p: Optional[float] = None,
-        performance_mode: str = "standard",
-        prompt_template: Optional[str] = None,
-        # Orchestration Configuration
-        orchestration_additional_model_fields: Optional[str] = None,
-        orchestration_max_tokens: Optional[int] = None,
-        orchestration_stop_sequences: Optional[str] = None,
-        orchestration_temperature: Optional[float] = None,
-        orchestration_top_p: Optional[float] = None,
-        orchestration_performance_mode: Optional[str] = None,
-        orchestration_prompt_template: Optional[str] = None,
-        # Retrieval Configuration
-        number_of_results: int = 5,
-        search_type: str = "SEMANTIC",
-        metadata_filter: Optional[dict] = None,
-        # Additional Configuration
-        session_id: Optional[str] = None,
-    ) -> dict[str, Any]:
+        user_id: str,
+        tool_parameters: dict[str, Any],
+    ) -> ToolInvokeMessage:
         try:
-            # Create text inference configurations
-            text_inference_config = self._create_text_inference_config(max_tokens, stop_sequences, temperature, top_p)
-            orchestration_text_inference_config = self._create_text_inference_config(
-                orchestration_max_tokens, orchestration_stop_sequences, orchestration_temperature, orchestration_top_p
-            )
+            # Initialize Bedrock client if not already initialized
+            if not self.bedrock_client:
+                aws_region = tool_parameters.get("aws_region")
+                aws_access_key_id = tool_parameters.get("aws_access_key_id")
+                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
 
-            # Create guardrail configuration
-            guardrail_config = self._create_guardrail_config(guardrail_id, guardrail_version)
+                client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None}
 
-            # Create vector search configuration
-            vector_search_config = self._create_vector_search_config(number_of_results, search_type, metadata_filter)
+                # Only add credentials if both access key and secret key are provided
+                if aws_access_key_id and aws_secret_access_key:
+                    client_kwargs.update(
+                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
+                    )
 
-            # Create generation configuration
-            generation_config = self._create_generation_config(
-                additional_model_fields, guardrail_config, text_inference_config, performance_mode, prompt_template
-            )
+                self.bedrock_client = boto3.client(**client_kwargs)
+        except Exception as e:
+            return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
 
-            # Create orchestration configuration
-            orchestration_config = self._create_orchestration_config(
-                orchestration_additional_model_fields,
-                orchestration_text_inference_config,
-                orchestration_performance_mode,
-                orchestration_prompt_template,
-            )
+        try:
+            request_config = {}
 
-            # Create knowledge base configuration
-            knowledge_base_config = {
-                "knowledgeBaseId": knowledge_base_id,
-                "modelArn": model_arn,
-                "generationConfiguration": generation_config,
-                "orchestrationConfiguration": orchestration_config,
-                "retrievalConfiguration": {"vectorSearchConfiguration": vector_search_config},
-            }
+            # Set input configuration
+            input_text = tool_parameters.get("input")
+            if input_text:
+                request_config["input"] = {"text": input_text}
 
-            # Create request configuration
-            request_config = {
-                "input": {"text": query},
-                "retrieveAndGenerateConfiguration": {
-                    "type": "KNOWLEDGE_BASE",
-                    "knowledgeBaseConfiguration": knowledge_base_config,
-                },
-            }
+            # Build retrieve and generate configuration
+            config_type = tool_parameters.get("type")
+            retrieve_generate_config = {"type": config_type}
 
-            # Add session configuration if provided
-            if session_id and len(session_id) >= 2:
-                request_config["sessionConfiguration"] = {"sessionId": session_id}
+            # Add configuration based on type
+            if config_type == "KNOWLEDGE_BASE":
+                kb_config_str = tool_parameters.get("knowledge_base_configuration")
+                kb_config = json.loads(kb_config_str) if kb_config_str else None
+                retrieve_generate_config["knowledgeBaseConfiguration"] = kb_config
+            else:  # EXTERNAL_SOURCES
+                es_config_str = tool_parameters.get("external_sources_configuration")
+                es_config = json.loads(kb_config_str) if es_config_str else None
+                retrieve_generate_config["externalSourcesConfiguration"] = es_config
+
+            request_config["retrieveAndGenerateConfiguration"] = retrieve_generate_config
+
+            # Parse session configuration
+            session_config_str = tool_parameters.get("session_configuration")
+            session_config = json.loads(session_config_str) if session_config_str else None
+            if session_config:
+                request_config["sessionConfiguration"] = session_config
+
+            # Add session ID if provided
+            session_id = tool_parameters.get("session_id")
+            if session_id:
                 request_config["sessionId"] = session_id
 
             # Send request
@@ -226,99 +96,42 @@ class BedrockRetrieveAndGenerateTool(BuiltinTool):
                     citation_info["references"].append(reference)
 
                 result["citations"].append(citation_info)
-
-            return result
-
+            result_type = tool_parameters.get("result_type")
+            if result_type == "json":
+                return self.create_json_message(result)
+            elif result_type == "text-with-citations":
+                return self.create_text_message(result)
+            else:
+                return self.create_text_message(result.get("output"))
+        except json.JSONDecodeError as e:
+            return self.create_text_message(f"Invalid JSON format: {str(e)}")
         except Exception as e:
-            raise Exception(f"Error calling Bedrock service: {str(e)}")
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> ToolInvokeMessage:
-        try:
-            # Initialize Bedrock client if not already initialized
-            if not self.bedrock_client:
-                aws_region = tool_parameters.get("aws_region")
-                aws_access_key_id = tool_parameters.get("aws_access_key_id")
-                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
-
-                client_kwargs = {
-                    "service_name": "bedrock-agent-runtime",
-                }
-                if aws_region:
-                    client_kwargs["region_name"] = aws_region
-                # Only add credentials if both access key and secret key are provided
-                if aws_access_key_id and aws_secret_access_key:
-                    client_kwargs.update(
-                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
-                    )
-
-                try:
-                    self.bedrock_client = boto3.client(**client_kwargs)
-                except Exception as e:
-                    return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
-
-            # Parse metadata filter if provided
-            metadata_filter = None
-            if metadata_filter_str := tool_parameters.get("metadata_filter"):
-                try:
-                    parsed_filter = json.loads(metadata_filter_str)
-                    if parsed_filter:  # Only set if not empty
-                        metadata_filter = parsed_filter
-                except json.JSONDecodeError:
-                    return self.create_text_message("metadata_filter must be a valid JSON string")
-
-            try:
-                response = self._bedrock_retrieve_and_generate(
-                    query=tool_parameters["query"],
-                    knowledge_base_id=tool_parameters["knowledge_base_id"],
-                    model_arn=tool_parameters["model_arn"],
-                    # Generation Configuration
-                    additional_model_fields=tool_parameters.get("additional_model_fields"),
-                    guardrail_id=tool_parameters.get("guardrail_id"),
-                    guardrail_version=tool_parameters.get("guardrail_version"),
-                    max_tokens=tool_parameters.get("max_tokens"),
-                    stop_sequences=tool_parameters.get("stop_sequences"),
-                    temperature=tool_parameters.get("temperature"),
-                    top_p=tool_parameters.get("top_p"),
-                    performance_mode=tool_parameters.get("performance_mode", "standard"),
-                    prompt_template=tool_parameters.get("prompt_template"),
-                    # Orchestration Configuration
-                    orchestration_additional_model_fields=tool_parameters.get("orchestration_additional_model_fields"),
-                    orchestration_max_tokens=tool_parameters.get("orchestration_max_tokens"),
-                    orchestration_stop_sequences=tool_parameters.get("orchestration_stop_sequences"),
-                    orchestration_temperature=tool_parameters.get("orchestration_temperature"),
-                    orchestration_top_p=tool_parameters.get("orchestration_top_p"),
-                    orchestration_performance_mode=tool_parameters.get("orchestration_performance_mode"),
-                    orchestration_prompt_template=tool_parameters.get("orchestration_prompt_template"),
-                    # Retrieval Configuration
-                    number_of_results=tool_parameters.get("number_of_results", 5),
-                    search_type=tool_parameters.get("search_type", "SEMANTIC"),
-                    metadata_filter=metadata_filter,
-                    # Additional Configuration
-                    session_id=tool_parameters.get("session_id"),
-                )
-                return self.create_json_message(response)
-
-            except Exception as e:
-                return self.create_text_message(f"Tool invocation error: {str(e)}")
-
-        except Exception as e:
-            return self.create_text_message(f"Tool execution error: {str(e)}")
+            return self.create_text_message(f"Tool invocation error: {str(e)}")
 
     def validate_parameters(self, parameters: dict[str, Any]) -> None:
         """Validate the parameters"""
-        required_params = ["query", "model_arn", "knowledge_base_id"]
-        for param in required_params:
-            if not parameters.get(param):
-                raise ValueError(f"{param} is required")
+        # Validate required parameters
+        if not parameters.get("input"):
+            raise ValueError("input is required")
+        if not parameters.get("type"):
+            raise ValueError("type is required")
 
-        # Validate metadata filter if provided
-        if metadata_filter_str := parameters.get("metadata_filter"):
-            try:
-                if not isinstance(json.loads(metadata_filter_str), dict):
-                    raise ValueError("metadata_filter must be a valid JSON object")
-            except json.JSONDecodeError:
-                raise ValueError("metadata_filter must be a valid JSON string")
+        # Validate JSON configurations
+        json_configs = ["knowledge_base_configuration", "external_sources_configuration", "session_configuration"]
+        for config in json_configs:
+            if config_value := parameters.get(config):
+                try:
+                    json.loads(config_value)
+                except json.JSONDecodeError:
+                    raise ValueError(f"{config} must be a valid JSON string")
+
+        # Validate configuration type
+        config_type = parameters.get("type")
+        if config_type not in ["KNOWLEDGE_BASE", "EXTERNAL_SOURCES"]:
+            raise ValueError("type must be either KNOWLEDGE_BASE or EXTERNAL_SOURCES")
+
+        # Validate type-specific configuration
+        if config_type == "KNOWLEDGE_BASE" and not parameters.get("knowledge_base_configuration"):
+            raise ValueError("knowledge_base_configuration is required when type is KNOWLEDGE_BASE")
+        elif config_type == "EXTERNAL_SOURCES" and not parameters.get("external_sources_configuration"):
+            raise ValueError("external_sources_configuration is required when type is EXTERNAL_SOURCES")
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
index f8a3b76aba..68f418fc5c 100644
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
+++ b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
@@ -8,24 +8,11 @@ identity:
 
 description:
   human:
-    en_US: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base
-    zh_Hans: 使用Amazon Bedrock知识库进行信息检索和生成的工具
+    en_US: "This is an advanced usage of Bedrock Retrieve. Please refer to the API documentation for detailed parameters and paste them into the corresponding Knowledge Base Configuration or External Sources Configuration"
+    zh_Hans: "这个工具为Bedrock Retrieve的高级用法，请参考API设置详细的参数，并粘贴到对应的知识库配置或者外部源配置"
   llm: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base
 
 parameters:
-# Additional Configuration
-  - name: session_id
-    type: string
-    required: false
-    label:
-      en_US: Session ID
-      zh_Hans: 会话ID
-    human_description:
-      en_US: Optional session ID for continuous conversations
-      zh_Hans: 用于连续对话的可选会话ID
-    form: form
-
-  # AWS Configuration
   - name: aws_region
     type: string
     required: false
@@ -59,300 +46,103 @@ parameters:
       zh_Hans: 用于身份验证的AWS秘密访问密钥（可选）
     form: form
 
-  # Knowledge Base Configuration
-  - name: knowledge_base_id
-    type: string
+  - name: result_type
+    type: select
     required: true
     label:
-      en_US: Knowledge Base ID
-      zh_Hans: 知识库ID
+      en_US: result type
+      zh_Hans: 结果类型
     human_description:
-      en_US: ID of the Bedrock Knowledge Base
-      zh_Hans: Bedrock知识库的ID
+      en_US: return a list of json or texts
+      zh_Hans: 返回一个列表，内容是json还是纯文本
+    default: text
+    options:
+      - value: json
+        label:
+          en_US: JSON
+          zh_Hans: JSON
+      - value: text
+        label:
+          en_US: Text
+          zh_Hans: 文本
+      - value: text-with-citations
+        label:
+          en_US: Text With Citations
+          zh_Hans: 文本（包含引用）
     form: form
 
-  - name: model_arn
+  - name: input
     type: string
     required: true
     label:
-      en_US: Model ARN
-      zh_Hans: 模型ARN
+      en_US: Input Text
+      zh_Hans: 输入文本
     human_description:
-      en_US: The ARN of the model to use
-      zh_Hans: 要使用的模型ARN
-    form: form
-
-  # Retrieval Configuration
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-    human_description:
-      en_US: The search query to retrieve information
-      zh_Hans: 用于检索信息的查询语句
+      en_US: The text query to retrieve information
+      zh_Hans: 用于检索信息的文本查询
     form: llm
 
-  - name: number_of_results
-    type: number
-    required: false
-    label:
-      en_US: Number of Results
-      zh_Hans: 结果数量
-    human_description:
-      en_US: Number of results to retrieve (1-10)
-      zh_Hans: 要检索的结果数量（1-10）
-    default: 5
-    min: 1
-    max: 10
-    form: form
-
-  - name: search_type
+  - name: type
     type: select
-    required: false
+    required: true
     label:
-      en_US: Search Type
-      zh_Hans: 搜索类型
+      en_US: Configuration Type
+      zh_Hans: 配置类型
     human_description:
-      en_US: Type of search to perform
-      zh_Hans: 要执行的搜索类型
-    default: SEMANTIC
+      en_US: Type of retrieve and generate configuration
+      zh_Hans: 检索和生成配置的类型
     options:
-      - value: SEMANTIC
+      - value: KNOWLEDGE_BASE
         label:
-          en_US: Semantic Search
-          zh_Hans: 语义搜索
-      - value: HYBRID
+          en_US: Knowledge Base
+          zh_Hans: 知识库
+      - value: EXTERNAL_SOURCES
         label:
-          en_US: Hybrid Search
-          zh_Hans: 混合搜索
+          en_US: External Sources
+          zh_Hans: 外部源
     form: form
 
-  - name: metadata_filter
+  - name: knowledge_base_configuration
     type: string
     required: false
     label:
-      en_US: Metadata Filter
-      zh_Hans: 元数据过滤器
+      en_US: Knowledge Base Configuration
+      zh_Hans: 知识库配置
     human_description:
-      en_US: JSON formatted filter conditions for metadata, supporting operations like equals, greaterThan, lessThan, etc.
-      zh_Hans: 元数据的JSON格式过滤条件，支持等于、大于、小于等操作
-    default: "{}"
+      en_US: Please refer to @https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here
+      zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里
     form: form
 
-# Generation Configuration
-  - name: guardrail_id
+  - name: external_sources_configuration
     type: string
     required: false
     label:
-      en_US: Guardrail ID
-      zh_Hans: 防护栏ID
+      en_US: External Sources Configuration
+      zh_Hans: 外部源配置
     human_description:
-      en_US: ID of the guardrail to apply
-      zh_Hans: 要应用的防护栏ID
+      en_US: Please refer to https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here
+      zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里
     form: form
 
-  - name: guardrail_version
+  - name: session_configuration
     type: string
     required: false
     label:
-      en_US: Guardrail Version
-      zh_Hans: 防护栏版本
+      en_US: Session Configuration
+      zh_Hans: 会话配置
     human_description:
-      en_US: Version of the guardrail to apply
-      zh_Hans: 要应用的防护栏版本
+      en_US: JSON formatted session configuration
+      zh_Hans: JSON格式的会话配置
+    default: ""
     form: form
 
-  - name: max_tokens
-    type: number
-    required: false
-    label:
-      en_US: Maximum Tokens
-      zh_Hans: 最大令牌数
-    human_description:
-      en_US: Maximum number of tokens to generate
-      zh_Hans: 生成的最大令牌数
-    default: 2048
-    form: form
-
-  - name: stop_sequences
+  - name: session_id
     type: string
     required: false
     label:
-      en_US: Stop Sequences
-      zh_Hans: 停止序列
+      en_US: Session ID
+      zh_Hans: 会话ID
     human_description:
-      en_US: JSON array of strings that will stop generation when encountered
-      zh_Hans: JSON数组格式的字符串，遇到这些序列时将停止生成
-    default: "[]"
-    form: form
-
-  - name: temperature
-    type: number
-    required: false
-    label:
-      en_US: Temperature
-      zh_Hans: 温度
-    human_description:
-      en_US: Controls randomness in the output (0-1)
-      zh_Hans: 控制输出的随机性（0-1）
-    default: 0.7
-    min: 0
-    max: 1
-    form: form
-
-  - name: top_p
-    type: number
-    required: false
-    label:
-      en_US: Top P
-      zh_Hans: Top P值
-    human_description:
-      en_US: Controls diversity via nucleus sampling (0-1)
-      zh_Hans: 通过核采样控制多样性（0-1）
-    default: 0.95
-    min: 0
-    max: 1
-    form: form
-
-  - name: performance_mode
-    type: select
-    required: false
-    label:
-      en_US: Performance Mode
-      zh_Hans: 性能模式
-    human_description:
-      en_US: Select performance optimization mode(performanceConfig.latency)
-      zh_Hans: 选择性能优化模式(performanceConfig.latency)
-    default: standard
-    options:
-      - value: standard
-        label:
-          en_US: Standard
-          zh_Hans: 标准
-      - value: optimized
-        label:
-          en_US: Optimized
-          zh_Hans: 优化
-    form: form
-
-  - name: prompt_template
-    type: string
-    required: false
-    label:
-      en_US: Prompt Template
-      zh_Hans: 提示模板
-    human_description:
-      en_US: Custom prompt template for generation
-      zh_Hans: 用于生成的自定义提示模板
-    form: form
-
-  - name: additional_model_fields
-    type: string
-    required: false
-    label:
-      en_US: Additional Model Fields
-      zh_Hans: 额外模型字段
-    human_description:
-      en_US: JSON formatted additional fields for model configuration
-      zh_Hans: JSON格式的额外模型配置字段
-    default: "{}"
-    form: form
-
-# Orchestration Configuration
-  - name: orchestration_max_tokens
-    type: number
-    required: false
-    label:
-      en_US: Orchestration Maximum Tokens
-      zh_Hans: 编排最大令牌数
-    human_description:
-      en_US: Maximum number of tokens for orchestration
-      zh_Hans: 编排过程的最大令牌数
-    default: 2048
-    form: form
-
-  - name: orchestration_stop_sequences
-    type: string
-    required: false
-    label:
-      en_US: Orchestration Stop Sequences
-      zh_Hans: 编排停止序列
-    human_description:
-      en_US: JSON array of strings that will stop orchestration when encountered
-      zh_Hans: JSON数组格式的字符串，遇到这些序列时将停止编排
-    default: "[]"
-    form: form
-
-  - name: orchestration_temperature
-    type: number
-    required: false
-    label:
-      en_US: Orchestration Temperature
-      zh_Hans: 编排温度
-    human_description:
-      en_US: Controls randomness in the orchestration output (0-1)
-      zh_Hans: 控制编排输出的随机性（0-1）
-    default: 0.7
-    min: 0
-    max: 1
-    form: form
-
-  - name: orchestration_top_p
-    type: number
-    required: false
-    label:
-      en_US: Orchestration Top P
-      zh_Hans: 编排Top P值
-    human_description:
-      en_US: Controls diversity via nucleus sampling in orchestration (0-1)
-      zh_Hans: 通过核采样控制编排的多样性（0-1）
-    default: 0.95
-    min: 0
-    max: 1
-    form: form
-
-  - name: orchestration_performance_mode
-    type: select
-    required: false
-    label:
-      en_US: Orchestration Performance Mode
-      zh_Hans: 编排性能模式
-    human_description:
-      en_US: Select performance optimization mode for orchestration
-      zh_Hans: 选择编排的性能优化模式
-    default: standard
-    options:
-      - value: standard
-        label:
-          en_US: Standard
-          zh_Hans: 标准
-      - value: optimized
-        label:
-          en_US: Optimized
-          zh_Hans: 优化
-    form: form
-
-  - name: orchestration_prompt_template
-    type: string
-    required: false
-    label:
-      en_US: Orchestration Prompt Template
-      zh_Hans: 编排提示模板
-    human_description:
-      en_US: Custom prompt template for orchestration
-      zh_Hans: 用于编排的自定义提示模板
-    form: form
-
-  - name: orchestration_additional_model_fields
-    type: string
-    required: false
-    label:
-      en_US: Orchestration Additional Model Fields
-      zh_Hans: 编排额外模型字段
-    human_description:
-      en_US: JSON formatted additional fields for orchestration model configuration
-      zh_Hans: JSON格式的编排模型额外配置字段
-    default: "{}"
+      en_US: Session ID for continuous conversations
+      zh_Hans: 用于连续对话的会话ID
     form: form
diff --git a/api/poetry.lock b/api/poetry.lock
index 5e8a4e06ee..eb6a2b5b80 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -931,19 +931,19 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.36.4"
+version = "1.36.12"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "boto3-1.36.4-py3-none-any.whl", hash = "sha256:9f8f699e75ec63fcc98c4dd7290997c7c06c68d3ac8161ad4735fe71f5fe945c"},
-    {file = "boto3-1.36.4.tar.gz", hash = "sha256:eeceeb74ef8b65634d358c27aa074917f4449dc828f79301f1075232618eb502"},
+    {file = "boto3-1.36.12-py3-none-any.whl", hash = "sha256:32cdf0967287f3ec25a9dc09df0d29cb86b8900c3e0546a63d672775d8127abf"},
+    {file = "boto3-1.36.12.tar.gz", hash = "sha256:287d84f49bba3255a17b374578127d42b6251e72f55914a62e0ad9ca78c0954b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.36.4,<1.37.0"
+botocore = ">=1.36.12,<1.37.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.11.0,<0.12.0"
 
@@ -952,15 +952,15 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.36.5"
+version = "1.36.12"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "botocore-1.36.5-py3-none-any.whl", hash = "sha256:6d9f70afa9bf9d21407089dc22b8cc8ec6fa44866d4660858c062c74fc8555eb"},
-    {file = "botocore-1.36.5.tar.gz", hash = "sha256:234ed3d29a8954c37a551c933453bf14c6ae44a69a4f273ffef377a2612ca6a6"},
+    {file = "botocore-1.36.12-py3-none-any.whl", hash = "sha256:5ae1ed362c8ed908a6ced8cdd12b21e2196c100bc79f9e95c9c1fc7f9ea74f5a"},
+    {file = "botocore-1.36.12.tar.gz", hash = "sha256:86ed88beb4f244c96529435c868d3940073c2774116f0023fb7691f6e7053bd9"},
 ]
 
 [package.dependencies]
@@ -969,7 +969,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.23.4)"]
+crt = ["awscrt (==0.23.8)"]
 
 [[package]]
 name = "bottleneck"
@@ -1043,6 +1043,10 @@ files = [
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     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
     {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
     {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
     {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"},
@@ -1055,8 +1059,14 @@ files = [
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     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
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+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
     {file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"},
     {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
     {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"},
@@ -1067,8 +1077,24 @@ files = [
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     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248"},
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839"},
     {file = "Brotli-1.1.0-cp312-cp312-win32.whl", hash = "sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0"},
     {file = "Brotli-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951"},
+    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"},
+    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7"},
+    {file = "Brotli-1.1.0-cp313-cp313-win32.whl", hash = "sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0"},
+    {file = "Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b"},
     {file = "Brotli-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b"},
@@ -1078,6 +1104,10 @@ files = [
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2"},
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354"},
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_i686.whl", hash = "sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52"},
     {file = "Brotli-1.1.0-cp36-cp36m-win32.whl", hash = "sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460"},
     {file = "Brotli-1.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579"},
     {file = "Brotli-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c"},
@@ -1089,6 +1119,10 @@ files = [
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"},
     {file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"},
     {file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"},
     {file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"},
@@ -1101,6 +1135,10 @@ files = [
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"},
     {file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"},
     {file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"},
     {file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"},
@@ -1113,6 +1151,10 @@ files = [
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"},
     {file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"},
     {file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"},
     {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
@@ -2084,7 +2126,6 @@ files = [
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543"},
-    {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e"},
     {file = "cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053"},
@@ -2095,7 +2136,6 @@ files = [
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c"},
-    {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285"},
     {file = "cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417"},
@@ -7761,6 +7801,7 @@ files = [
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bb89f0a835bcfc1d42ccd5f41f04870c1b936d8507c6df12b7737febc40f0909"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0c2d907a1e102526dd2986df638343388b94c33860ff3bbe1384130828714b1"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f8157bed2f51db683f31306aa497311b560f2265998122abe1dce6428bd86567"},
+    {file = "psycopg2_binary-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:27422aa5f11fbcd9b18da48373eb67081243662f9b46e6fd07c3eb46e4535142"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:eb09aa7f9cecb45027683bb55aebaaf45a0df8bf6de68801a6afdc7947bb09d4"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b73d6d7f0ccdad7bc43e6d34273f70d587ef62f824d7261c4ae9b8b1b6af90e8"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce5ab4bf46a211a8e924d307c1b1fcda82368586a19d0a24f8ae166f5c784864"},
@@ -12388,4 +12429,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "6243573a26b9aa03558eb2c176d2477a08b1033a17065e870e4be83af0af644d"
+content-hash = "14896fb8a4495238d70515986341128d0096ba130c3acce127a29a903a59a811"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 90819ef23f..f887b82be2 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -21,7 +21,7 @@ azure-ai-inference = "~1.0.0b3"
 azure-ai-ml = "~1.20.0"
 azure-identity = "1.16.1"
 beautifulsoup4 = "4.12.2"
-boto3 = "1.36.4"
+boto3 = "1.36.12"
 bs4 = "~0.0.1"
 cachetools = "~5.3.0"
 celery = "~5.4.0"
diff --git a/sdks/python-client/tests/test_client.py b/sdks/python-client/tests/test_client.py
index 0e8913c5f0..52032417c0 100644
--- a/sdks/python-client/tests/test_client.py
+++ b/sdks/python-client/tests/test_client.py
@@ -87,7 +87,7 @@ class TestKnowledgeBaseClient(unittest.TestCase):
     def _test_005_batch_indexing_status(self):
         client = self._get_dataset_kb_client()
         response = client.batch_indexing_status(self.batch_id)
-        data = response.json()
+        response.json()
         self.assertEqual(response.status_code, 200)
 
     def _test_006_update_document_by_file(self):

From 1a2523fd158282df89ba875ddc84193c3e81515e Mon Sep 17 00:00:00 2001
From: MaFee921 <31881301+2284730142@users.noreply.github.com>
Date: Wed, 5 Feb 2025 12:24:24 +0800
Subject: [PATCH 109/217] feat: bedrock_endpoint_url (#12838)

---
 .../model_runtime/model_providers/bedrock/bedrock.yaml   | 9 +++++++++
 .../model_providers/bedrock/get_bedrock_client.py        | 2 ++
 2 files changed, 11 insertions(+)

diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
index 63d6640348..358c942c3f 100644
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
+++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
@@ -123,6 +123,15 @@ provider_credential_schema:
             en_US: AWS GovCloud (US-West)
             zh_Hans: AWS GovCloud (US-West)
             ja_JP: AWS GovCloud (米国西部)
+    - variable: bedrock_endpoint_url
+      label:
+        zh_Hans: Bedrock Endpoint URL
+        en_US: Bedrock Endpoint URL
+      type: text-input
+      required: false
+      placeholder:
+        zh_Hans: 在此输入您的 Bedrock Endpoint URL, 如：https://123456.cloudfront.net
+        en_US: Enter your Bedrock Endpoint URL, e.g. https://123456.cloudfront.net
     - variable: model_for_validation
       required: false
       label:
diff --git a/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py b/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
index 2ad37cef3b..61cd72889e 100644
--- a/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
+++ b/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
@@ -13,6 +13,7 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
     client_config = Config(region_name=region_name)
     aws_access_key_id = credentials.get("aws_access_key_id")
     aws_secret_access_key = credentials.get("aws_secret_access_key")
+    bedrock_endpoint_url = credentials.get("bedrock_endpoint_url")
 
     if aws_access_key_id and aws_secret_access_key:
         # use aksk to call bedrock
@@ -21,6 +22,7 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
             config=client_config,
             aws_access_key_id=aws_access_key_id,
             aws_secret_access_key=aws_secret_access_key,
+            **({"endpoint_url": bedrock_endpoint_url} if bedrock_endpoint_url else {}),
         )
     else:
         # use iam without aksk to call

From 38c10b47d3be80b97d68759ffa8e7d77acabf73b Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Tue, 4 Feb 2025 23:27:58 -0500
Subject: [PATCH 110/217] Feat: add linkedin to readme (#13203)

---
 README.md    | 3 +++
 README_AR.md | 3 +++
 README_CN.md | 3 +++
 README_ES.md | 3 +++
 README_FR.md | 3 +++
 README_JA.md | 3 +++
 README_KL.md | 3 +++
 README_KR.md | 3 +++
 README_PT.md | 3 +++
 README_SI.md | 3 +++
 README_TR.md | 3 +++
 README_VI.md | 3 +++
 12 files changed, 36 insertions(+)

diff --git a/README.md b/README.md
index df6c481e78..3920ff107c 100644
--- a/README.md
+++ b/README.md
@@ -25,6 +25,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_AR.md b/README_AR.md
index d42c7508b1..ceb0be4b8f 100644
--- a/README_AR.md
+++ b/README_AR.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_CN.md b/README_CN.md
index 8d1cfbf274..ca94db87b0 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_ES.md b/README_ES.md
index 9763de69fb..bbbd6f854d 100644
--- a/README_ES.md
+++ b/README_ES.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="seguir en X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="seguir en LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_FR.md b/README_FR.md
index 974c0b9297..3890c2a996 100644
--- a/README_FR.md
+++ b/README_FR.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="suivre sur X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="suivre sur LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_JA.md b/README_JA.md
index 9651219157..c4266c66f8 100644
--- a/README_JA.md
+++ b/README_JA.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="X(Twitter)でフォロー"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="LinkedInでフォロー"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_KL.md b/README_KL.md
index dd37b8243b..852382284b 100644
--- a/README_KL.md
+++ b/README_KL.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_KR.md b/README_KR.md
index 8edbb99226..7be18b2312 100644
--- a/README_KR.md
+++ b/README_KR.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_PT.md b/README_PT.md
index f947538952..16f3d4041a 100644
--- a/README_PT.md
+++ b/README_PT.md
@@ -25,6 +25,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_SI.md b/README_SI.md
index 6badf47f01..8e4f0fa6a6 100644
--- a/README_SI.md
+++ b/README_SI.md
@@ -22,6 +22,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_TR.md b/README_TR.md
index 24ed0c9a08..a83aa3fd19 100644
--- a/README_TR.md
+++ b/README_TR.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="X(Twitter)'da takip et"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="LinkedIn'da takip et"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
diff --git a/README_VI.md b/README_VI.md
index 9076fcaae7..730a415ebe 100644
--- a/README_VI.md
+++ b/README_VI.md
@@ -21,6 +21,9 @@
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
             alt="theo dõi trên X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="theo dõi trên LinkedIn"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">

From a97cec57e4d5254e40f3c9cca2b6e5cff160264d Mon Sep 17 00:00:00 2001
From: Nam Vu <zuzoovn@gmail.com>
Date: Wed, 5 Feb 2025 12:10:27 +0700
Subject: [PATCH 111/217] fix: SSRF proxy file descriptor leak in concurrent
 requests (#13108)

---
 api/core/helper/ssrf_proxy.py | 15 +++++----------
 1 file changed, 5 insertions(+), 10 deletions(-)

diff --git a/api/core/helper/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py
index 424983a819..af1e527eb5 100644
--- a/api/core/helper/ssrf_proxy.py
+++ b/api/core/helper/ssrf_proxy.py
@@ -11,15 +11,6 @@ from configs import dify_config
 
 SSRF_DEFAULT_MAX_RETRIES = dify_config.SSRF_DEFAULT_MAX_RETRIES
 
-proxy_mounts = (
-    {
-        "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
-        "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
-    }
-    if dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL
-    else None
-)
-
 BACKOFF_FACTOR = 0.5
 STATUS_FORCELIST = [429, 500, 502, 503, 504]
 
@@ -51,7 +42,11 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
             if dify_config.SSRF_PROXY_ALL_URL:
                 with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL) as client:
                     response = client.request(method=method, url=url, **kwargs)
-            elif proxy_mounts:
+            elif dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL:
+                proxy_mounts = {
+                    "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
+                    "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
+                }
                 with httpx.Client(mounts=proxy_mounts) as client:
                     response = client.request(method=method, url=url, **kwargs)
             else:

From fac83e14bc655695e0db58654acbfac5a8fab5b4 Mon Sep 17 00:00:00 2001
From: te-chan <t-nakanome@sakura-is.co.jp>
Date: Wed, 5 Feb 2025 14:43:43 +0900
Subject: [PATCH 112/217] Use DefaultAzureCredential for managed identity in
 azure blob extention (#11559)

---
 api/extensions/storage/azure_blob_storage.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/api/extensions/storage/azure_blob_storage.py b/api/extensions/storage/azure_blob_storage.py
index 2f8532f4f8..eff7743cc2 100644
--- a/api/extensions/storage/azure_blob_storage.py
+++ b/api/extensions/storage/azure_blob_storage.py
@@ -1,6 +1,7 @@
 from collections.abc import Generator
 from datetime import UTC, datetime, timedelta
 
+from azure.identity import DefaultAzureCredential
 from azure.storage.blob import AccountSasPermissions, BlobServiceClient, ResourceTypes, generate_account_sas
 
 from configs import dify_config
@@ -18,6 +19,11 @@ class AzureBlobStorage(BaseStorage):
         self.account_name = dify_config.AZURE_BLOB_ACCOUNT_NAME
         self.account_key = dify_config.AZURE_BLOB_ACCOUNT_KEY
 
+        if self.account_key == "managedidentity":
+            self.credential = DefaultAzureCredential()
+        else:
+            self.credential = None
+
     def save(self, filename, data):
         client = self._sync_client()
         blob_container = client.get_container_client(container=self.bucket_name)
@@ -57,6 +63,9 @@ class AzureBlobStorage(BaseStorage):
         blob_container.delete_blob(filename)
 
     def _sync_client(self):
+        if self.account_key == "managedidentity":
+            return BlobServiceClient(account_url=self.account_url, credential=self.credential)
+
         cache_key = "azure_blob_sas_token_{}_{}".format(self.account_name, self.account_key)
         cache_result = redis_client.get(cache_key)
         if cache_result is not None:

From 9e1457c2c31b56caa79cc4d928a9fdcd67510042 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Wed, 5 Feb 2025 15:56:23 +0800
Subject: [PATCH 113/217] fix: mypy checks violation in AzureBlobStorage
 (#13215)

---
 api/extensions/storage/azure_blob_storage.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/api/extensions/storage/azure_blob_storage.py b/api/extensions/storage/azure_blob_storage.py
index eff7743cc2..7448fd4a6b 100644
--- a/api/extensions/storage/azure_blob_storage.py
+++ b/api/extensions/storage/azure_blob_storage.py
@@ -1,7 +1,8 @@
 from collections.abc import Generator
 from datetime import UTC, datetime, timedelta
+from typing import Optional
 
-from azure.identity import DefaultAzureCredential
+from azure.identity import ChainedTokenCredential, DefaultAzureCredential
 from azure.storage.blob import AccountSasPermissions, BlobServiceClient, ResourceTypes, generate_account_sas
 
 from configs import dify_config
@@ -19,6 +20,7 @@ class AzureBlobStorage(BaseStorage):
         self.account_name = dify_config.AZURE_BLOB_ACCOUNT_NAME
         self.account_key = dify_config.AZURE_BLOB_ACCOUNT_KEY
 
+        self.credential: Optional[ChainedTokenCredential] = None
         if self.account_key == "managedidentity":
             self.credential = DefaultAzureCredential()
         else:
@@ -64,7 +66,7 @@ class AzureBlobStorage(BaseStorage):
 
     def _sync_client(self):
         if self.account_key == "managedidentity":
-            return BlobServiceClient(account_url=self.account_url, credential=self.credential)
+            return BlobServiceClient(account_url=self.account_url, credential=self.credential)  # type: ignore
 
         cache_key = "azure_blob_sas_token_{}_{}".format(self.account_name, self.account_key)
         cache_result = redis_client.get(cache_key)

From 59ca44f4936dca26fb3ddece6cf7f67acfbf39d4 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Wed, 5 Feb 2025 16:08:28 +0800
Subject: [PATCH 114/217] chore(model_runtime): Move deepseek ahead in the
 providers list. (#13197)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/core/model_runtime/model_providers/_position.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/_position.yaml b/api/core/model_runtime/model_providers/_position.yaml
index 89fccef659..fb02de3a67 100644
--- a/api/core/model_runtime/model_providers/_position.yaml
+++ b/api/core/model_runtime/model_providers/_position.yaml
@@ -1,4 +1,5 @@
 - openai
+- deepseek
 - anthropic
 - azure_openai
 - google
@@ -32,7 +33,6 @@
 - localai
 - volcengine_maas
 - openai_api_compatible
-- deepseek
 - hunyuan
 - siliconflow
 - perfxcloud

From e8b3b7e578cce125971aed5c9958943d38fd01f2 Mon Sep 17 00:00:00 2001
From: HQidea <HQidea@users.noreply.github.com>
Date: Wed, 5 Feb 2025 16:16:00 +0800
Subject: [PATCH 115/217] Fix new variables in the conversation opener would
 override prompt_variables (#13191)

---
 web/app/components/app/configuration/index.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx
index b4289a105a..3a5ee386bb 100644
--- a/web/app/components/app/configuration/index.tsx
+++ b/web/app/components/app/configuration/index.tsx
@@ -491,7 +491,7 @@ const Configuration: FC = () => {
   }, [formattingChangedDispatcher, setShowAppConfigureFeaturesModal])
   const handleAddPromptVariable = useCallback((variable: PromptVariable[]) => {
     const newModelConfig = produce(modelConfig, (draft: ModelConfig) => {
-      draft.configs.prompt_variables = variable
+      draft.configs.prompt_variables = [...draft.configs.prompt_variables, ...variable]
     })
     setModelConfig(newModelConfig)
   }, [modelConfig])

From 8fbb355cd279219bfa289f95c00f320a11748b52 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Wed, 5 Feb 2025 16:42:53 +0800
Subject: [PATCH 116/217] chore: squash system dependencies installation steps
 (#13206)

---
 api/Dockerfile | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/api/Dockerfile b/api/Dockerfile
index cf18ad8c89..8207c66f83 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -48,18 +48,18 @@ ENV TZ=UTC
 
 WORKDIR /app/api
 
-RUN apt-get update \
-    && apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
-    # if you located in China, you can use aliyun mirror to speed up
-    # && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
-    && echo "deb http://deb.debian.org/debian bookworm main" > /etc/apt/sources.list \
-    && apt-get update \
-    # For Security
-    && apt-get install -y --no-install-recommends expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
-    # install a chinese font to support the use of tools like matplotlib
-    && apt-get install -y fonts-noto-cjk \
-    # install libmagic to support the use of python-magic guess MIMETYPE
-    && apt-get install -y libmagic1 \
+RUN \
+    apt-get update \
+    # Install dependencies
+    && apt-get install -y --no-install-recommends \
+        # basic environment
+        curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
+        # For Security
+        expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
+        # install a chinese font to support the use of tools like matplotlib
+        fonts-noto-cjk \
+        # install libmagic to support the use of python-magic guess MIMETYPE
+        libmagic1 \
     && apt-get autoremove -y \
     && rm -rf /var/lib/apt/lists/*
 

From 34b21b3065c8f881bf64a4e4fa5b44d08f93bf42 Mon Sep 17 00:00:00 2001
From: Joshbly <36315710+Joshbly@users.noreply.github.com>
Date: Wed, 5 Feb 2025 04:04:45 -0500
Subject: [PATCH 117/217] feat: Add o3-mini and o3-mini-2025-01-31 model
 variants (#13129)

Co-authored-by: crazywoola <427733928@qq.com>
---
 .../azure_openai/azure_openai.yaml            | 12 +++++
 .../model_providers/openai/llm/_position.yaml |  2 +
 .../openai/llm/o3-mini-2025-01-31.yaml        | 33 +++++++++++++
 .../model_providers/openai/llm/o3-mini.yaml   | 33 +++++++++++++
 .../openrouter/llm/_position.yaml             |  2 +
 .../openrouter/llm/o3-mini-2025-01-31.yaml    | 49 +++++++++++++++++++
 .../openrouter/llm/o3-mini.yaml               | 49 +++++++++++++++++++
 7 files changed, 180 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
 create mode 100644 api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
 create mode 100644 api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml
 create mode 100644 api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml

diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
index 970b386b08..c3ba180aae 100644
--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
+++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
@@ -138,6 +138,18 @@ model_credential_schema:
           show_on:
             - variable: __model_type
               value: llm
+        - label:
+            en_US: o3-mini
+          value: o3-mini
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: o3-mini-2025-01-31
+          value: o3-mini-2025-01-31
+          show_on:
+            - variable: __model_type
+              value: llm
         - label:
             en_US: o1-preview
           value: o1-preview
diff --git a/api/core/model_runtime/model_providers/openai/llm/_position.yaml b/api/core/model_runtime/model_providers/openai/llm/_position.yaml
index be279d9520..0d3143c2ae 100644
--- a/api/core/model_runtime/model_providers/openai/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/_position.yaml
@@ -2,6 +2,8 @@
 - o1-2024-12-17
 - o1-mini
 - o1-mini-2024-09-12
+- o3-mini
+- o3-mini-2025-01-31
 - gpt-4
 - gpt-4o
 - gpt-4o-2024-05-13
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
new file mode 100644
index 0000000000..25f1d262c0
--- /dev/null
+++ b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
@@ -0,0 +1,33 @@
+model: o3-mini-2025-01-31
+label:
+  zh_Hans: o3-mini-2025-01-31
+  en_US: o3-mini-2025-01-31
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    default: 100000
+    min: 1
+    max: 100000
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '1.10'
+  output: '4.40'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
new file mode 100644
index 0000000000..2a717aea8e
--- /dev/null
+++ b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
@@ -0,0 +1,33 @@
+model: o3-mini
+label:
+  zh_Hans: o3-mini
+  en_US: o3-mini
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    default: 100000
+    min: 1
+    max: 100000
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '1.10'
+  output: '4.40'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
index 5a25c84c34..dd4f3fde51 100644
--- a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
@@ -1,5 +1,7 @@
 - openai/o1-preview
 - openai/o1-mini
+- openai/o3-mini
+- openai/o3-mini-2025-01-31
 - openai/gpt-4o
 - openai/gpt-4o-mini
 - openai/gpt-4
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml
new file mode 100644
index 0000000000..0cb38c11e4
--- /dev/null
+++ b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml
@@ -0,0 +1,49 @@
+model: openai/o3-mini-2025-01-31
+label:
+  en_US: o3-mini-2025-01-31
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 100000
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: "1.10"
+  output: "4.40"
+  unit: "0.000001"
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml
new file mode 100644
index 0000000000..6fe38bd3f5
--- /dev/null
+++ b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml
@@ -0,0 +1,49 @@
+model: openai/o3-mini
+label:
+  en_US: o3-mini
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 100000
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: response_format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: "1.10"
+  output: "4.40"
+  unit: "0.000001"
+  currency: USD

From c6ddf6d6ccd65a12c77a5344cd3c66c020be3179 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Wed, 5 Feb 2025 19:15:29 +0800
Subject: [PATCH 118/217] feat(model_providers): Add Groq
 DeepSeek-R1-Distill-Llama-70b (#13229)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../model_providers/groq/llm/_position.yaml   |  1 +
 .../llm/deepseek-r1-distill-llama-70b.yaml    | 36 +++++++++++++++++++
 2 files changed, 37 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml

diff --git a/api/core/model_runtime/model_providers/groq/llm/_position.yaml b/api/core/model_runtime/model_providers/groq/llm/_position.yaml
index 279c1bcbe5..7e0261699d 100644
--- a/api/core/model_runtime/model_providers/groq/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/groq/llm/_position.yaml
@@ -1,3 +1,4 @@
+- deepseek-r1-distill-llama-70b
 - llama-3.1-405b-reasoning
 - llama-3.3-70b-versatile
 - llama-3.1-70b-versatile
diff --git a/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml b/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml
new file mode 100644
index 0000000000..4947897c23
--- /dev/null
+++ b/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml
@@ -0,0 +1,36 @@
+model: deepseek-r1-distill-llama-70b
+label:
+  en_US: DeepSeek R1 Distill Llama 70b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '3.00'
+  output: '3.00'
+  unit: '0.000001'
+  currency: USD

From 00458a31d58624d51ea5c7dff255902ecd6ff865 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Wed, 5 Feb 2025 08:59:18 -0500
Subject: [PATCH 119/217] feat: added deepseek r1 and v3 to siliconflow
 (#13238)

---
 .../siliconflow/llm/deepseek-r1.yaml          | 21 ++++++++
 .../siliconflow/llm/deepseek-v3.yaml          | 53 +++++++++++++++++++
 2 files changed, 74 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml

diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml
new file mode 100644
index 0000000000..44c6a9d55e
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1
+  en_US: deepseek-ai/DeepSeek-R1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "4"
+  output: "16"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml
new file mode 100644
index 0000000000..ed1a5f0099
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml
@@ -0,0 +1,53 @@
+model: deepseek-ai/DeepSeek-V3
+label:
+  en_US: deepseek-ai/DeepSeek-V3
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 512
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: "1"
+  output: "2"
+  unit: "0.000001"
+  currency: RMB

From a6a25030ad5635d2fff263f5d17ddd7ccc604ed1 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Wed, 5 Feb 2025 20:21:51 -0500
Subject: [PATCH 120/217] =?UTF-8?q?fix:=20updated=20=5Fposition.yaml=20to?=
 =?UTF-8?q?=20include=20the=20latest=20model=20already=20integ=E2=80=A6=20?=
 =?UTF-8?q?(#13245)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../model_providers/siliconflow/llm/_position.yaml           | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
index 8361be91ba..1ec9aee641 100644
--- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
@@ -12,7 +12,11 @@
 - Pro/Qwen/Qwen2-VL-7B-Instruct
 - OpenGVLab/InternVL2-26B
 - Pro/OpenGVLab/InternVL2-8B
+- deepseek-ai/DeepSeek-R1
+- deepseek-ai/DeepSeek-V2-Chat
 - deepseek-ai/DeepSeek-V2.5
+- deepseek-ai/DeepSeek-V3
+- deepseek-ai/DeepSeek-Coder-V2-Instruct
 - THUDM/glm-4-9b-chat
 - 01-ai/Yi-1.5-34B-Chat-16K
 - 01-ai/Yi-1.5-9B-Chat-16K
@@ -25,3 +29,4 @@
 - meta-llama/Meta-Llama-3.1-8B-Instruct
 - google/gemma-2-27b-it
 - google/gemma-2-9b-it
+- Tencent/Hunyuan-A52B-Instruct

From 5a685f715628bcf34890cf632e1365ff7d48b369 Mon Sep 17 00:00:00 2001
From: xhe <xw897002528@gmail.com>
Date: Thu, 6 Feb 2025 09:24:40 +0800
Subject: [PATCH 121/217] feat: add think display for volcengine and generic
 openapi  (#13234)

Signed-off-by: xhe <xw897002528@gmail.com>
---
 .../openai_api_compatible/llm/llm.py          | 29 +++++++++++++++++++
 .../volcengine_maas/llm/llm.py                | 27 +++++++++++++++--
 2 files changed, 53 insertions(+), 3 deletions(-)

diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
index 734cf28b15..a0d9c450d5 100644
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
@@ -473,6 +473,8 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
         finish_reason = None  # The default value of finish_reason is None
         message_id, usage = None, None
+        is_reasoning_started = False
+        is_reasoning_started_tag = False
         for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
             chunk = chunk.strip()
             if chunk:
@@ -514,6 +516,33 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                     delta = choice["delta"]
                     delta_content = delta.get("content")
 
+                    if not is_reasoning_started_tag and "<think>" in delta_content:
+                        is_reasoning_started_tag = True
+                        delta_content = "> 💭 " + delta_content.replace("<think>", "")
+                    elif is_reasoning_started_tag and "</think>" in delta_content:
+                        delta_content = delta_content.replace("</think>", "") + "\n\n"
+                        is_reasoning_started_tag = False
+                    elif is_reasoning_started_tag:
+                        if "\n\n" in delta_content:
+                            delta_content = delta_content.replace("\n\n", "\n> ")
+                        elif "\n" in delta_content:
+                            delta_content = delta_content.replace("\n", "\n> ")
+
+                    reasoning_content = delta.get("reasoning_content")
+                    if reasoning_content:
+                        if not is_reasoning_started:
+                            delta_content = "> 💭 " + reasoning_content
+                            is_reasoning_started = True
+                        elif "\n\n" in delta_content:
+                            delta_content = reasoning_content.replace("\n\n", "\n> ")
+                        elif "\n" in delta_content:
+                            delta_content = reasoning_content.replace("\n", "\n> ")
+                    elif is_reasoning_started:
+                        # If we were in reasoning mode but now getting regular content,
+                        # add \n\n to close the reasoning block
+                        delta_content = "\n\n" + delta_content
+                        is_reasoning_started = False
+
                     assistant_message_tool_calls = None
 
                     if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
index f0b2b101b7..40c3777c5c 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
@@ -247,15 +247,36 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
             req_params["tools"] = tools
 
         def _handle_stream_chat_response(chunks: Generator[ChatCompletionChunk]) -> Generator:
+            is_reasoning_started = False
             for chunk in chunks:
+                content = ""
+                if chunk.choices:
+                    if hasattr(chunk.choices[0].delta, "reasoning_content"):
+                        delta_content = ""
+                        if not is_reasoning_started:
+                            is_reasoning_started = True
+                            delta_content = "> 💭 " + chunk.choices[0].delta.reasoning_content
+                        else:
+                            delta_content = chunk.choices[0].delta.reasoning_content
+
+                        if "\n\n" in delta_content:
+                            delta_content = delta_content.replace("\n\n", "\n> ")
+                        elif "\n" in delta_content:
+                            delta_content = delta_content.replace("\n", "\n> ")
+
+                        content = delta_content
+                    elif is_reasoning_started:
+                        content = "\n\n" + chunk.choices[0].delta.content
+                        is_reasoning_started = False
+                    else:
+                        content = chunk.choices[0].delta.content
+
                 yield LLMResultChunk(
                     model=model,
                     prompt_messages=prompt_messages,
                     delta=LLMResultChunkDelta(
                         index=0,
-                        message=AssistantPromptMessage(
-                            content=chunk.choices[0].delta.content if chunk.choices else "", tool_calls=[]
-                        ),
+                        message=AssistantPromptMessage(content=content, tool_calls=[]),
                         usage=self._calc_response_usage(
                             model=model,
                             credentials=credentials,

From 72039910329afce1d4c2ced360f42ea4842791fb Mon Sep 17 00:00:00 2001
From: k-zaku <zaku99@outlook.jp>
Date: Thu, 6 Feb 2025 10:29:48 +0900
Subject: [PATCH 122/217] feat: add parameter "reasoning_effort" and Openai
 o3-mini  (#13243)

---
 .../model_runtime/model_providers/openai/llm/llm.py | 10 +++++-----
 .../model_providers/openai/llm/o1-2024-12-17.yaml   | 13 +++++++++++++
 .../model_providers/openai/llm/o1.yaml              | 13 +++++++++++++
 .../openai/llm/o3-mini-2025-01-31.yaml              | 13 +++++++++++++
 .../model_providers/openai/llm/o3-mini.yaml         | 13 +++++++++++++
 api/poetry.lock                                     | 11 ++++++-----
 api/pyproject.toml                                  |  2 +-
 7 files changed, 64 insertions(+), 11 deletions(-)

diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py
index 0587202058..e9d59a4ae4 100644
--- a/api/core/model_runtime/model_providers/openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai/llm/llm.py
@@ -619,9 +619,9 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
         # clear illegal prompt messages
         prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
 
-        # o1 compatibility
+        # o1, o3 compatibility
         block_as_stream = False
-        if model.startswith("o1"):
+        if model.startswith(("o1", "o3")):
             if "max_tokens" in model_parameters:
                 model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
                 del model_parameters["max_tokens"]
@@ -941,7 +941,7 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
                                 ]
                             )
 
-        if model.startswith("o1"):
+        if model.startswith(("o1", "o3")):
             system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
             if system_message_count > 0:
                 new_prompt_messages = []
@@ -1053,7 +1053,7 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
             model = model.split(":")[1]
 
         # Currently, we can use gpt4o to calculate chatgpt-4o-latest's token.
-        if model == "chatgpt-4o-latest" or model.startswith("o1"):
+        if model == "chatgpt-4o-latest" or model.startswith(("o1", "o3")):
             model = "gpt-4o"
 
         try:
@@ -1068,7 +1068,7 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
             tokens_per_message = 4
             # if there's a name, the role is omitted
             tokens_per_name = -1
-        elif model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4") or model.startswith("o1"):
+        elif model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4") or model.startswith(("o1", "o3")):
             tokens_per_message = 3
             tokens_per_name = 1
         else:
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml
index 7acbd0e2b1..643258a23e 100644
--- a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml
@@ -16,6 +16,19 @@ parameter_rules:
     default: 50000
     min: 1
     max: 50000
+  - name: reasoning_effort
+    label:
+      zh_Hans: 推理工作
+      en_US: reasoning_effort
+    type: string
+    help:
+      zh_Hans: 限制推理模型的推理工作
+      en_US: constrains effort on reasoning for reasoning models
+    required: false
+    options:
+      - low
+      - medium
+      - high
   - name: response_format
     label:
       zh_Hans: 回复格式
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1.yaml b/api/core/model_runtime/model_providers/openai/llm/o1.yaml
index 3a84cf418e..53d5f719cc 100644
--- a/api/core/model_runtime/model_providers/openai/llm/o1.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/o1.yaml
@@ -17,6 +17,19 @@ parameter_rules:
     default: 50000
     min: 1
     max: 50000
+  - name: reasoning_effort
+    label:
+      zh_Hans: 推理工作
+      en_US: reasoning_effort
+    type: string
+    help:
+      zh_Hans: 限制推理模型的推理工作
+      en_US: constrains effort on reasoning for reasoning models
+    required: false
+    options:
+      - low
+      - medium
+      - high
   - name: response_format
     label:
       zh_Hans: 回复格式
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
index 25f1d262c0..3f717bf08d 100644
--- a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
@@ -14,6 +14,19 @@ parameter_rules:
     default: 100000
     min: 1
     max: 100000
+  - name: reasoning_effort
+    label:
+      zh_Hans: 推理工作
+      en_US: reasoning_effort
+    type: string
+    help:
+      zh_Hans: 限制推理模型的推理工作
+      en_US: constrains effort on reasoning for reasoning models
+    required: false
+    options:
+      - low
+      - medium
+      - high
   - name: response_format
     label:
       zh_Hans: 回复格式
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
index 2a717aea8e..755fc00595 100644
--- a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
@@ -14,6 +14,19 @@ parameter_rules:
     default: 100000
     min: 1
     max: 100000
+  - name: reasoning_effort
+    label:
+      zh_Hans: 推理工作
+      en_US: reasoning_effort
+    type: string
+    help:
+      zh_Hans: 限制推理模型的推理工作
+      en_US: constrains effort on reasoning for reasoning models
+    required: false
+    options:
+      - low
+      - medium
+      - high
   - name: response_format
     label:
       zh_Hans: 回复格式
diff --git a/api/poetry.lock b/api/poetry.lock
index eb6a2b5b80..8868940762 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -6562,15 +6562,15 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.52.2"
+version = "1.61.0"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "openai-1.52.2-py3-none-any.whl", hash = "sha256:57e9e37bc407f39bb6ec3a27d7e8fb9728b2779936daa1fcf95df17d3edfaccc"},
-    {file = "openai-1.52.2.tar.gz", hash = "sha256:87b7d0f69d85f5641678d414b7ee3082363647a5c66a462ed7f3ccb59582da0d"},
+    {file = "openai-1.61.0-py3-none-any.whl", hash = "sha256:e8c512c0743accbdbe77f3429a1490d862f8352045de8dc81969301eb4a4f666"},
+    {file = "openai-1.61.0.tar.gz", hash = "sha256:216f325a24ed8578e929b0f1b3fb2052165f3b04b0461818adaa51aa29c71f8a"},
 ]
 
 [package.dependencies]
@@ -6585,6 +6585,7 @@ typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<15)"]
 
 [[package]]
 name = "opencensus"
@@ -12429,4 +12430,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "14896fb8a4495238d70515986341128d0096ba130c3acce127a29a903a59a811"
+content-hash = "786f04736264fce986f53ea41aa0f5b94e18df807a9aad0aa621cc0ac7078065"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index f887b82be2..2c93f36324 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -58,7 +58,7 @@ nomic = "~3.1.2"
 novita-client = "~0.5.7"
 numpy = "~1.26.4"
 oci = "~2.135.1"
-openai = "~1.52.0"
+openai = "~1.61.0"
 openpyxl = "~3.1.5"
 opik = "~1.3.4"
 pandas = { version = "~2.2.2", extras = ["performance", "excel"] }

From 9457b2af2f99fd5528ae7f7a0760e95f749f2c61 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Wed, 5 Feb 2025 20:58:39 -0500
Subject: [PATCH 123/217] feat: added models :gemini 2.0 flash 001 and gemini
 2.0 pro exp 02-05 (#13247)

---
 .../model_providers/google/llm/_position.yaml |  2 +
 .../google/llm/gemini-2.0-flash-001.yml       | 41 +++++++++++++++++++
 .../google/llm/gemini-2.0-pro-exp-02-05.yaml  | 41 +++++++++++++++++++
 3 files changed, 84 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml
 create mode 100644 api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml

diff --git a/api/core/model_runtime/model_providers/google/llm/_position.yaml b/api/core/model_runtime/model_providers/google/llm/_position.yaml
index c65831c8f9..07ede384b0 100644
--- a/api/core/model_runtime/model_providers/google/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/_position.yaml
@@ -1,4 +1,6 @@
+- gemini-2.0-flash-001
 - gemini-2.0-flash-exp
+- gemini-2.0-pro-exp-02-05
 - gemini-2.0-flash-thinking-exp-1219
 - gemini-2.0-flash-thinking-exp-01-21
 - gemini-1.5-pro
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml
new file mode 100644
index 0000000000..bef7ca5eef
--- /dev/null
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml
@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-001
+label:
+  en_US: Gemini 2.0 Flash 001
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml
new file mode 100644
index 0000000000..fb571f08cb
--- /dev/null
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml
@@ -0,0 +1,41 @@
+model: gemini-2.0-pro-exp-02-05
+label:
+  en_US: Gemini 2.0 pro exp 02-05
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From 7673c36af3a657ba102c63c84275628813860f6c Mon Sep 17 00:00:00 2001
From: JasonVV <jasonwangiii@outlook.com>
Date: Thu, 6 Feb 2025 10:01:00 +0800
Subject: [PATCH 124/217] feat(model): add gemini-2.0-flash-thinking-exp-01-21
 (#13230)

---
 .../gemini-2.0-flash-thinking-exp-01-21.yaml  | 39 +++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml

diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
new file mode 100644
index 0000000000..6e2fc7678e
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
@@ -0,0 +1,39 @@
+model: gemini-2.0-flash-thinking-exp-01-21
+label:
+  en_US: Gemini 2.0 Flash Thinking Exp 0121
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From da2ee04fce02fe168fff2e63bd7f31b6039e8c34 Mon Sep 17 00:00:00 2001
From: xhe <xw897002528@gmail.com>
Date: Thu, 6 Feb 2025 10:53:08 +0800
Subject: [PATCH 125/217] fix: correct linewrap think display in generic openai
 api (#13260)

Signed-off-by: xhe <xw897002528@gmail.com>
---
 .../model_providers/deepseek/llm/llm.py       | 210 +----------------
 .../openai_api_compatible/llm/llm.py          |  22 +-
 .../model_providers/siliconflow/llm/llm.py    | 211 +-----------------
 .../volcengine_maas/llm/llm.py                |  23 +-
 4 files changed, 26 insertions(+), 440 deletions(-)

diff --git a/api/core/model_runtime/model_providers/deepseek/llm/llm.py b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
index b280856c05..610dc7b458 100644
--- a/api/core/model_runtime/model_providers/deepseek/llm/llm.py
+++ b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
@@ -1,13 +1,10 @@
-import json
 from collections.abc import Generator
 from typing import Optional, Union
 
-import requests
 from yarl import URL
 
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
 from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
     PromptMessage,
     PromptMessageTool,
 )
@@ -39,208 +36,3 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         credentials["mode"] = LLMMode.CHAT.value
         credentials["function_calling_type"] = "tool_call"
         credentials["stream_function_calling"] = "support"
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: streamed response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        chunk_index = 0
-        is_reasoning_started = False  # Add flag to track reasoning state
-
-        def create_final_llm_result_chunk(
-            id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = usage and usage.get("prompt_tokens")
-            if prompt_tokens is None:
-                prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = usage and usage.get("completion_tokens")
-            if completion_tokens is None:
-                completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                id=id,
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-            )
-
-        # delimiter for stream response, need unicode_escape
-        import codecs
-
-        delimiter = credentials.get("stream_mode_delimiter", "\n\n")
-        delimiter = codecs.decode(delimiter, "unicode_escape")
-
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-
-        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
-            def get_tool_call(tool_call_id: str):
-                if not tool_call_id:
-                    return tools_calls[-1]
-
-                tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
-                if tool_call is None:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=tool_call_id,
-                        type="function",
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
-                    )
-                    tools_calls.append(tool_call)
-
-                return tool_call
-
-            for new_tool_call in new_tool_calls:
-                # get tool call
-                tool_call = get_tool_call(new_tool_call.function.name)
-                # update tool call
-                if new_tool_call.id:
-                    tool_call.id = new_tool_call.id
-                if new_tool_call.type:
-                    tool_call.type = new_tool_call.type
-                if new_tool_call.function.name:
-                    tool_call.function.name = new_tool_call.function.name
-                if new_tool_call.function.arguments:
-                    tool_call.function.arguments += new_tool_call.function.arguments
-
-        finish_reason = None  # The default value of finish_reason is None
-        message_id, usage = None, None
-        for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
-            chunk = chunk.strip()
-            if chunk:
-                # ignore sse comments
-                if chunk.startswith(":"):
-                    continue
-                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
-                if decoded_chunk == "[DONE]":  # Some provider returns "data: [DONE]"
-                    continue
-
-                try:
-                    chunk_json: dict = json.loads(decoded_chunk)
-                # stream ended
-                except json.JSONDecodeError as e:
-                    yield create_final_llm_result_chunk(
-                        id=message_id,
-                        index=chunk_index + 1,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason="Non-JSON encountered.",
-                        usage=usage,
-                    )
-                    break
-                # handle the error here. for issue #11629
-                if chunk_json.get("error") and chunk_json.get("choices") is None:
-                    raise ValueError(chunk_json.get("error"))
-
-                if chunk_json:
-                    if u := chunk_json.get("usage"):
-                        usage = u
-                if not chunk_json or len(chunk_json["choices"]) == 0:
-                    continue
-
-                choice = chunk_json["choices"][0]
-                finish_reason = chunk_json["choices"][0].get("finish_reason")
-                message_id = chunk_json.get("id")
-                chunk_index += 1
-
-                if "delta" in choice:
-                    delta = choice["delta"]
-                    is_reasoning = delta.get("reasoning_content")
-                    delta_content = delta.get("content") or delta.get("reasoning_content")
-
-                    assistant_message_tool_calls = None
-
-                    if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
-                        assistant_message_tool_calls = delta.get("tool_calls", None)
-                    elif (
-                        "function_call" in delta
-                        and credentials.get("function_calling_type", "no_call") == "function_call"
-                    ):
-                        assistant_message_tool_calls = [
-                            {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
-                        ]
-
-                    # assistant_message_function_call = delta.delta.function_call
-
-                    # extract tool calls from response
-                    if assistant_message_tool_calls:
-                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        increase_tool_call(tool_calls)
-
-                    if delta_content is None or delta_content == "":
-                        continue
-
-                    # Add markdown quote markers for reasoning content
-                    if is_reasoning:
-                        if not is_reasoning_started:
-                            delta_content = "> 💭 " + delta_content
-                            is_reasoning_started = True
-                        elif "\n\n" in delta_content:
-                            delta_content = delta_content.replace("\n\n", "\n> ")
-                        elif "\n" in delta_content:
-                            delta_content = delta_content.replace("\n", "\n> ")
-                    elif is_reasoning_started:
-                        # If we were in reasoning mode but now getting regular content,
-                        # add \n\n to close the reasoning block
-                        delta_content = "\n\n" + delta_content
-                        is_reasoning_started = False
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=delta_content,
-                    )
-
-                    # reset tool calls
-                    tool_calls = []
-                    full_assistant_content += delta_content
-                elif "text" in choice:
-                    choice_text = choice.get("text", "")
-                    if choice_text == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
-                    full_assistant_content += choice_text
-                else:
-                    continue
-
-                yield LLMResultChunk(
-                    id=message_id,
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-        if tools_calls:
-            yield LLMResultChunk(
-                id=message_id,
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
-                ),
-            )
-
-        yield create_final_llm_result_chunk(
-            id=message_id,
-            index=chunk_index,
-            message=AssistantPromptMessage(content=""),
-            finish_reason=finish_reason,
-            usage=usage,
-        )
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
index a0d9c450d5..17aefc7efc 100644
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
@@ -1,5 +1,6 @@
 import json
 import logging
+import re
 from collections.abc import Generator
 from decimal import Decimal
 from typing import Optional, Union, cast
@@ -515,6 +516,8 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                 if "delta" in choice:
                     delta = choice["delta"]
                     delta_content = delta.get("content")
+                    if not delta_content:
+                        delta_content = ""
 
                     if not is_reasoning_started_tag and "<think>" in delta_content:
                         is_reasoning_started_tag = True
@@ -523,20 +526,21 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                         delta_content = delta_content.replace("</think>", "") + "\n\n"
                         is_reasoning_started_tag = False
                     elif is_reasoning_started_tag:
-                        if "\n\n" in delta_content:
-                            delta_content = delta_content.replace("\n\n", "\n> ")
-                        elif "\n" in delta_content:
-                            delta_content = delta_content.replace("\n", "\n> ")
+                        if "\n" in delta_content:
+                            delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
 
                     reasoning_content = delta.get("reasoning_content")
-                    if reasoning_content:
+                    if is_reasoning_started and not reasoning_content and not delta_content:
+                        delta_content = ""
+                    elif reasoning_content:
                         if not is_reasoning_started:
                             delta_content = "> 💭 " + reasoning_content
                             is_reasoning_started = True
-                        elif "\n\n" in delta_content:
-                            delta_content = reasoning_content.replace("\n\n", "\n> ")
-                        elif "\n" in delta_content:
-                            delta_content = reasoning_content.replace("\n", "\n> ")
+                        else:
+                            delta_content = reasoning_content
+
+                        if "\n" in delta_content:
+                            delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
                     elif is_reasoning_started:
                         # If we were in reasoning mode but now getting regular content,
                         # add \n\n to close the reasoning block
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
index 4109fafab9..dffe321496 100644
--- a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
@@ -1,13 +1,9 @@
-import json
 from collections.abc import Generator
 from typing import Optional, Union
 
-import requests
-
 from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
 from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
     PromptMessage,
     PromptMessageTool,
 )
@@ -96,208 +92,3 @@ class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel):
                 ),
             ],
         )
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: streamed response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        chunk_index = 0
-        is_reasoning_started = False  # Add flag to track reasoning state
-
-        def create_final_llm_result_chunk(
-            id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = usage and usage.get("prompt_tokens")
-            if prompt_tokens is None:
-                prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = usage and usage.get("completion_tokens")
-            if completion_tokens is None:
-                completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                id=id,
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-            )
-
-        # delimiter for stream response, need unicode_escape
-        import codecs
-
-        delimiter = credentials.get("stream_mode_delimiter", "\n\n")
-        delimiter = codecs.decode(delimiter, "unicode_escape")
-
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-
-        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
-            def get_tool_call(tool_call_id: str):
-                if not tool_call_id:
-                    return tools_calls[-1]
-
-                tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
-                if tool_call is None:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=tool_call_id,
-                        type="function",
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
-                    )
-                    tools_calls.append(tool_call)
-
-                return tool_call
-
-            for new_tool_call in new_tool_calls:
-                # get tool call
-                tool_call = get_tool_call(new_tool_call.function.name)
-                # update tool call
-                if new_tool_call.id:
-                    tool_call.id = new_tool_call.id
-                if new_tool_call.type:
-                    tool_call.type = new_tool_call.type
-                if new_tool_call.function.name:
-                    tool_call.function.name = new_tool_call.function.name
-                if new_tool_call.function.arguments:
-                    tool_call.function.arguments += new_tool_call.function.arguments
-
-        finish_reason = None  # The default value of finish_reason is None
-        message_id, usage = None, None
-        for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
-            chunk = chunk.strip()
-            if chunk:
-                # ignore sse comments
-                if chunk.startswith(":"):
-                    continue
-                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
-                if decoded_chunk == "[DONE]":  # Some provider returns "data: [DONE]"
-                    continue
-
-                try:
-                    chunk_json: dict = json.loads(decoded_chunk)
-                # stream ended
-                except json.JSONDecodeError as e:
-                    yield create_final_llm_result_chunk(
-                        id=message_id,
-                        index=chunk_index + 1,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason="Non-JSON encountered.",
-                        usage=usage,
-                    )
-                    break
-                # handle the error here. for issue #11629
-                if chunk_json.get("error") and chunk_json.get("choices") is None:
-                    raise ValueError(chunk_json.get("error"))
-
-                if chunk_json:
-                    if u := chunk_json.get("usage"):
-                        usage = u
-                if not chunk_json or len(chunk_json["choices"]) == 0:
-                    continue
-
-                choice = chunk_json["choices"][0]
-                finish_reason = chunk_json["choices"][0].get("finish_reason")
-                message_id = chunk_json.get("id")
-                chunk_index += 1
-
-                if "delta" in choice:
-                    delta = choice["delta"]
-                    delta_content = delta.get("content")
-
-                    assistant_message_tool_calls = None
-
-                    if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
-                        assistant_message_tool_calls = delta.get("tool_calls", None)
-                    elif (
-                        "function_call" in delta
-                        and credentials.get("function_calling_type", "no_call") == "function_call"
-                    ):
-                        assistant_message_tool_calls = [
-                            {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
-                        ]
-
-                    # assistant_message_function_call = delta.delta.function_call
-
-                    # extract tool calls from response
-                    if assistant_message_tool_calls:
-                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        increase_tool_call(tool_calls)
-
-                    if delta_content is None or delta_content == "":
-                        continue
-
-                    # Check for think tags
-                    if "<think>" in delta_content:
-                        is_reasoning_started = True
-                        # Remove <think> tag and add markdown quote
-                        delta_content = "> 💭 " + delta_content.replace("<think>", "")
-                    elif "</think>" in delta_content:
-                        # Remove </think> tag and add newlines to end quote block
-                        delta_content = delta_content.replace("</think>", "") + "\n\n"
-                        is_reasoning_started = False
-                    elif is_reasoning_started:
-                        # Add quote markers for content within thinking block
-                        if "\n\n" in delta_content:
-                            delta_content = delta_content.replace("\n\n", "\n> ")
-                        elif "\n" in delta_content:
-                            delta_content = delta_content.replace("\n", "\n> ")
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=delta_content,
-                    )
-
-                    # reset tool calls
-                    tool_calls = []
-                    full_assistant_content += delta_content
-                elif "text" in choice:
-                    choice_text = choice.get("text", "")
-                    if choice_text == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
-                    full_assistant_content += choice_text
-                else:
-                    continue
-
-                yield LLMResultChunk(
-                    id=message_id,
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-        if tools_calls:
-            yield LLMResultChunk(
-                id=message_id,
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
-                ),
-            )
-
-        yield create_final_llm_result_chunk(
-            id=message_id,
-            index=chunk_index,
-            message=AssistantPromptMessage(content=""),
-            finish_reason=finish_reason,
-            usage=usage,
-        )
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
index 40c3777c5c..83c534add8 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
@@ -1,4 +1,5 @@
 import logging
+import re
 from collections.abc import Generator
 from typing import Optional
 
@@ -251,25 +252,23 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
             for chunk in chunks:
                 content = ""
                 if chunk.choices:
-                    if hasattr(chunk.choices[0].delta, "reasoning_content"):
-                        delta_content = ""
+                    delta = chunk.choices[0].delta
+                    if is_reasoning_started and not hasattr(delta, "reasoning_content") and not delta.content:
+                        content = ""
+                    elif hasattr(delta, "reasoning_content"):
                         if not is_reasoning_started:
                             is_reasoning_started = True
-                            delta_content = "> 💭 " + chunk.choices[0].delta.reasoning_content
+                            content = "> 💭 " + delta.reasoning_content
                         else:
-                            delta_content = chunk.choices[0].delta.reasoning_content
+                            content = delta.reasoning_content
 
-                        if "\n\n" in delta_content:
-                            delta_content = delta_content.replace("\n\n", "\n> ")
-                        elif "\n" in delta_content:
-                            delta_content = delta_content.replace("\n", "\n> ")
-
-                        content = delta_content
+                        if "\n" in content:
+                            content = re.sub(r"\n(?!(>|\n))", "\n> ", content)
                     elif is_reasoning_started:
-                        content = "\n\n" + chunk.choices[0].delta.content
+                        content = "\n\n" + delta.content
                         is_reasoning_started = False
                     else:
-                        content = chunk.choices[0].delta.content
+                        content = delta.content
 
                 yield LLMResultChunk(
                     model=model,

From f6c44cae2ea20df81b3970e982d47ed42cd43748 Mon Sep 17 00:00:00 2001
From: JasonVV <jasonwangiii@outlook.com>
Date: Thu, 6 Feb 2025 12:28:59 +0800
Subject: [PATCH 126/217] feat(model): add gemini-2.0 model (#13266)

---
 .../vertex_ai/llm/gemini-2.0-flash-001.yaml   | 41 +++++++++++++++++++
 .../gemini-2.0-flash-lite-preview-02-05.yaml  | 41 +++++++++++++++++++
 .../llm/gemini-2.0-pro-exp-02-05.yaml         | 37 +++++++++++++++++
 3 files changed, 119 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-001.yaml
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml

diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-001.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-001.yaml
new file mode 100644
index 0000000000..bef7ca5eef
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-001.yaml
@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-001
+label:
+  en_US: Gemini 2.0 Flash 001
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml
new file mode 100644
index 0000000000..9c0a1e0620
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml
@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-lite-preview-02-05
+label:
+  en_US: Gemini 2.0 Flash Lite Preview 0205
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml
new file mode 100644
index 0000000000..96926a1756
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml
@@ -0,0 +1,37 @@
+model: gemini-2.0-pro-exp-02-05
+label:
+  en_US: Gemini 2.0 Pro Exp 0205
+model_type: llm
+features:
+  - agent-thought
+  - document
+model_properties:
+  mode: chat
+  context_size: 2000000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      en_US: Top k
+    type: int
+    help:
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_output_tokens
+    use_template: max_tokens
+    required: true
+    default: 8192
+    min: 1
+    max: 8192
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From 87763fc234e67b8615b936ef2db33f7adb819453 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Thu, 6 Feb 2025 12:45:48 +0800
Subject: [PATCH 127/217] feat(model_providers): Support deepseek for Azure AI
 Foundry (#13267)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../azure_ai_studio/llm/llm.py                | 27 ++++++----
 api/poetry.lock                               | 53 +++----------------
 api/pyproject.toml                            |  2 +-
 3 files changed, 24 insertions(+), 58 deletions(-)

diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
index 53030bad83..393f8494dc 100644
--- a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
@@ -1,9 +1,9 @@
 import logging
-from collections.abc import Generator
+from collections.abc import Generator, Sequence
 from typing import Any, Optional, Union
 
 from azure.ai.inference import ChatCompletionsClient
-from azure.ai.inference.models import StreamingChatCompletionsUpdate
+from azure.ai.inference.models import StreamingChatCompletionsUpdate, SystemMessage, UserMessage
 from azure.core.credentials import AzureKeyCredential
 from azure.core.exceptions import (
     ClientAuthenticationError,
@@ -60,10 +60,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
         self,
         model: str,
         credentials: dict,
-        prompt_messages: list[PromptMessage],
+        prompt_messages: Sequence[PromptMessage],
         model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        tools: Optional[Sequence[PromptMessageTool]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
@@ -82,8 +82,8 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
         """
 
         if not self.client:
-            endpoint = credentials.get("endpoint")
-            api_key = credentials.get("api_key")
+            endpoint = str(credentials.get("endpoint"))
+            api_key = str(credentials.get("api_key"))
             self.client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
 
         messages = [{"role": msg.role.value, "content": msg.content} for msg in prompt_messages]
@@ -94,6 +94,7 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
             "temperature": model_parameters.get("temperature", 0),
             "top_p": model_parameters.get("top_p", 1),
             "stream": stream,
+            "model": model,
         }
 
         if stop:
@@ -255,10 +256,16 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
         :return:
         """
         try:
-            endpoint = credentials.get("endpoint")
-            api_key = credentials.get("api_key")
+            endpoint = str(credentials.get("endpoint"))
+            api_key = str(credentials.get("api_key"))
             client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
-            client.get_model_info()
+            client.complete(
+                messages=[
+                    SystemMessage(content="I say 'ping', you say 'pong'"),
+                    UserMessage(content="ping"),
+                ],
+                model=model,
+            )
         except Exception as ex:
             raise CredentialsValidateFailedError(str(ex))
 
diff --git a/api/poetry.lock b/api/poetry.lock
index 8868940762..1fdc292b92 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -627,15 +627,15 @@ cryptography = "*"
 
 [[package]]
 name = "azure-ai-inference"
-version = "1.0.0b6"
+version = "1.0.0b8"
 description = "Microsoft Azure AI Inference Client Library for Python"
 optional = false
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     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543"},
+    {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e"},
     {file = "cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053"},
@@ -2136,6 +2095,7 @@ files = [
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c"},
+    {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285"},
     {file = "cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417"},
@@ -7802,7 +7762,6 @@ files = [
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bb89f0a835bcfc1d42ccd5f41f04870c1b936d8507c6df12b7737febc40f0909"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0c2d907a1e102526dd2986df638343388b94c33860ff3bbe1384130828714b1"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f8157bed2f51db683f31306aa497311b560f2265998122abe1dce6428bd86567"},
-    {file = "psycopg2_binary-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:27422aa5f11fbcd9b18da48373eb67081243662f9b46e6fd07c3eb46e4535142"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:eb09aa7f9cecb45027683bb55aebaaf45a0df8bf6de68801a6afdc7947bb09d4"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b73d6d7f0ccdad7bc43e6d34273f70d587ef62f824d7261c4ae9b8b1b6af90e8"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce5ab4bf46a211a8e924d307c1b1fcda82368586a19d0a24f8ae166f5c784864"},
@@ -12430,4 +12389,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "786f04736264fce986f53ea41aa0f5b94e18df807a9aad0aa621cc0ac7078065"
+content-hash = "d197cdff507a70323c1d6aca11609188f54970f67715af744fe6def15b7776fd"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 2c93f36324..72ec6d287e 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -17,7 +17,7 @@ package-mode = false
 [tool.poetry.dependencies]
 anthropic = "~0.23.1"
 authlib = "1.3.1"
-azure-ai-inference = "~1.0.0b3"
+azure-ai-inference = "~1.0.0b8"
 azure-ai-ml = "~1.20.0"
 azure-identity = "1.16.1"
 beautifulsoup4 = "4.12.2"

From 03ec3513f3bae6be9679ad5ce20ed8529d682c87 Mon Sep 17 00:00:00 2001
From: weiwenyan-dev <154779315+weiwenyan-dev@users.noreply.github.com>
Date: Thu, 6 Feb 2025 13:00:04 +0800
Subject: [PATCH 128/217] Fix bug large data no render (#12683)

Co-authored-by: ex_wenyan.wei <ex_wenyan.wei@tcl.com>
---
 .../components/workflow/run/output-panel.tsx  | 23 +++++++++++++++----
 1 file changed, 18 insertions(+), 5 deletions(-)

diff --git a/web/app/components/workflow/run/output-panel.tsx b/web/app/components/workflow/run/output-panel.tsx
index a1667d9b45..ee508572c5 100644
--- a/web/app/components/workflow/run/output-panel.tsx
+++ b/web/app/components/workflow/run/output-panel.tsx
@@ -23,7 +23,14 @@ const OutputPanel: FC<OutputPanelProps> = ({
   height,
 }) => {
   const isTextOutput = useMemo(() => {
-    return outputs && Object.keys(outputs).length === 1 && typeof outputs[Object.keys(outputs)[0]] === 'string'
+    if (!outputs || typeof outputs !== 'object')
+      return false
+    const keys = Object.keys(outputs)
+    const value = outputs[keys[0]]
+    return keys.length === 1 && (
+      typeof value === 'string'
+      || (Array.isArray(value) && value.every(item => typeof item === 'string'))
+    )
   }, [outputs])
 
   const fileList = useMemo(() => {
@@ -65,7 +72,13 @@ const OutputPanel: FC<OutputPanelProps> = ({
       )}
       {isTextOutput && (
         <div className='px-4 py-2'>
-          <Markdown content={outputs[Object.keys(outputs)[0]] || ''} />
+          <Markdown
+            content={
+              Array.isArray(outputs[Object.keys(outputs)[0]])
+                ? outputs[Object.keys(outputs)[0]].join('\n')
+                : (outputs[Object.keys(outputs)[0]] || '')
+            }
+          />
         </div>
       )}
       {fileList.length > 0 && (
@@ -78,14 +91,14 @@ const OutputPanel: FC<OutputPanelProps> = ({
           />
         </div>
       )}
-      {outputs && Object.keys(outputs).length > 1 && height! > 0 && (
+      {!isTextOutput && outputs && Object.keys(outputs).length > 0 && height! > 0 && (
         <div className='flex flex-col gap-2'>
           <CodeEditor
             showFileList
             readOnly
-            title={<div></div>}
+            title={<div tabIndex={0}>Output</div>}
             language={CodeLanguage.json}
-            value={outputs}
+            value={JSON.stringify(outputs, null, 2)}
             isJSONStringifyBeauty
             height={height ? (height - 16) / 2 : undefined}
           />

From 6d66d6da1556e1828d2d99937ce5fffdfd8f8320 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Thu, 6 Feb 2025 13:03:19 +0800
Subject: [PATCH 129/217] feat(model_providers): Support deepseek-r1 for Nvidia
 Catalog (#13269)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../model_providers/nvidia/llm/_position.yaml |  1 +
 .../nvidia/llm/deepseek-r1.yaml               | 35 +++++++++++++++++++
 .../model_providers/nvidia/llm/llm.py         |  2 +-
 3 files changed, 37 insertions(+), 1 deletion(-)
 create mode 100644 api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml

diff --git a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml b/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
index ad01d430d6..36ec25fa2d 100644
--- a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
@@ -1,3 +1,4 @@
+- deepseek-ai/deepseek-r1
 - google/gemma-7b
 - google/codegemma-7b
 - google/recurrentgemma-2b
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml
new file mode 100644
index 0000000000..159941eca4
--- /dev/null
+++ b/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml
@@ -0,0 +1,35 @@
+model: deepseek-ai/deepseek-r1
+label:
+  en_US: deepseek-ai/deepseek-r1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0
+    max: 1
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    min: 0
+    max: 1
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 1024
+    default: 1024
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: presence_penalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llm.py b/api/core/model_runtime/model_providers/nvidia/llm/llm.py
index 1c98c6be6c..fb57202798 100644
--- a/api/core/model_runtime/model_providers/nvidia/llm/llm.py
+++ b/api/core/model_runtime/model_providers/nvidia/llm/llm.py
@@ -83,7 +83,7 @@ class NVIDIALargeLanguageModel(OAIAPICompatLargeLanguageModel):
     def _add_custom_parameters(self, credentials: dict, model: str) -> None:
         credentials["mode"] = "chat"
 
-        if self.MODEL_SUFFIX_MAP[model]:
+        if self.MODEL_SUFFIX_MAP.get(model):
             credentials["server_url"] = f"https://ai.api.nvidia.com/v1/{self.MODEL_SUFFIX_MAP[model]}"
             credentials.pop("endpoint_url")
         else:

From 40dd63ecef93c478f4a7ffe58c9a077711e1c1d1 Mon Sep 17 00:00:00 2001
From: engchina <12236799+engchina@users.noreply.github.com>
Date: Thu, 6 Feb 2025 13:24:27 +0800
Subject: [PATCH 130/217] Upgrade oracle models (#13174)

Co-authored-by: engchina <atjapan2015@gmail.com>
---
 .../oci/llm/cohere.command-r-08-2024.yaml     | 52 +++++++++++++++++++
 .../oci/llm/cohere.command-r-16k.yaml         |  1 +
 .../llm/cohere.command-r-plus-08-2024.yaml    | 52 +++++++++++++++++++
 .../oci/llm/cohere.command-r-plus.yaml        |  1 +
 .../model_providers/oci/llm/llm.py            |  8 +--
 .../oci/llm/meta.llama-3-70b-instruct.yaml    |  1 +
 .../oci/llm/meta.llama-3.1-70b-instruct.yaml  | 51 ++++++++++++++++++
 .../model_runtime/model_providers/oci/oci.py  |  4 +-
 8 files changed, 164 insertions(+), 6 deletions(-)
 create mode 100644 api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml
 create mode 100644 api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml
 create mode 100644 api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml

diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml
new file mode 100644
index 0000000000..adfd7543b2
--- /dev/null
+++ b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml
@@ -0,0 +1,52 @@
+model: cohere.command-r-08-2024
+label:
+  en_US: cohere.command-r-08-2024 v1.7
+model_type: llm
+features:
+  - multi-tool-call
+  - agent-thought
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 1
+    max: 1.0
+  - name: topP
+    use_template: top_p
+    default: 0.75
+    min: 0
+    max: 1
+  - name: topK
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+    default: 0
+    min: 0
+    max: 500
+  - name: presencePenalty
+    use_template: presence_penalty
+    min: 0
+    max: 1
+    default: 0
+  - name: frequencyPenalty
+    use_template: frequency_penalty
+    min: 0
+    max: 1
+    default: 0
+  - name: maxTokens
+    use_template: max_tokens
+    default: 600
+    max: 4000
+pricing:
+  input: '0.0009'
+  output: '0.0009'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml
index eb60cbcd90..152c09ce6c 100644
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml
+++ b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml
@@ -50,3 +50,4 @@ pricing:
   output: '0.004'
   unit: '0.0001'
   currency: USD
+deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml
new file mode 100644
index 0000000000..9db0a08496
--- /dev/null
+++ b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml
@@ -0,0 +1,52 @@
+model: cohere.command-r-plus-08-2024
+label:
+  en_US: cohere.command-r-plus-08-2024 v1.6
+model_type: llm
+features:
+  - multi-tool-call
+  - agent-thought
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 1
+    max: 1.0
+  - name: topP
+    use_template: top_p
+    default: 0.75
+    min: 0
+    max: 1
+  - name: topK
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+    default: 0
+    min: 0
+    max: 500
+  - name: presencePenalty
+    use_template: presence_penalty
+    min: 0
+    max: 1
+    default: 0
+  - name: frequencyPenalty
+    use_template: frequency_penalty
+    min: 0
+    max: 1
+    default: 0
+  - name: maxTokens
+    use_template: max_tokens
+    default: 600
+    max: 4000
+pricing:
+  input: '0.0156'
+  output: '0.0156'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml
index df31b0d0df..e819fe05d4 100644
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml
+++ b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml
@@ -50,3 +50,4 @@ pricing:
   output: '0.0219'
   unit: '0.0001'
   currency: USD
+deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/llm.py b/api/core/model_runtime/model_providers/oci/llm/llm.py
index 9f676573fc..ad40530222 100644
--- a/api/core/model_runtime/model_providers/oci/llm/llm.py
+++ b/api/core/model_runtime/model_providers/oci/llm/llm.py
@@ -33,7 +33,7 @@ logger = logging.getLogger(__name__)
 
 request_template = {
     "compartmentId": "",
-    "servingMode": {"modelId": "cohere.command-r-plus", "servingType": "ON_DEMAND"},
+    "servingMode": {"modelId": "cohere.command-r-plus-08-2024", "servingType": "ON_DEMAND"},
     "chatRequest": {
         "apiFormat": "COHERE",
         # "preambleOverride": "You are a helpful assistant.",
@@ -60,19 +60,19 @@ oci_config_template = {
 class OCILargeLanguageModel(LargeLanguageModel):
     # https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm
     _supported_models = {
-        "meta.llama-3-70b-instruct": {
+        "meta.llama-3.1-70b-instruct": {
             "system": True,
             "multimodal": False,
             "tool_call": False,
             "stream_tool_call": False,
         },
-        "cohere.command-r-16k": {
+        "cohere.command-r-08-2024": {
             "system": True,
             "multimodal": False,
             "tool_call": True,
             "stream_tool_call": False,
         },
-        "cohere.command-r-plus": {
+        "cohere.command-r-plus-08-2024": {
             "system": True,
             "multimodal": False,
             "tool_call": True,
diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml
index dd5be107c0..0917fe19a2 100644
--- a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml
@@ -49,3 +49,4 @@ pricing:
   output: '0.015'
   unit: '0.0001'
   currency: USD
+deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml
new file mode 100644
index 0000000000..2cf5666f89
--- /dev/null
+++ b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml
@@ -0,0 +1,51 @@
+model: meta.llama-3.1-70b-instruct
+label:
+  zh_Hans: meta.llama-3.1-70b-instruct
+  en_US: meta.llama-3.1-70b-instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 1
+    max: 2.0
+  - name: topP
+    use_template: top_p
+    default: 0.75
+    min: 0
+    max: 1
+  - name: topK
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+    default: 0
+    min: 0
+    max: 500
+  - name: presencePenalty
+    use_template: presence_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: frequencyPenalty
+    use_template: frequency_penalty
+    min: -2
+    max: 2
+    default: 0
+  - name: maxTokens
+    use_template: max_tokens
+    default: 600
+    max: 4000
+pricing:
+  input: '0.0075'
+  output: '0.0075'
+  unit: '0.0001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/oci.py b/api/core/model_runtime/model_providers/oci/oci.py
index e182d2d043..a3321cb9fd 100644
--- a/api/core/model_runtime/model_providers/oci/oci.py
+++ b/api/core/model_runtime/model_providers/oci/oci.py
@@ -19,8 +19,8 @@ class OCIGENAIProvider(ModelProvider):
         try:
             model_instance = self.get_model_instance(ModelType.LLM)
 
-            # Use `cohere.command-r-plus` model for validate,
-            model_instance.validate_credentials(model="cohere.command-r-plus", credentials=credentials)
+            # Use `cohere.command-r-plus-08-2024` model for validate,
+            model_instance.validate_credentials(model="cohere.command-r-plus-08-2024", credentials=credentials)
         except CredentialsValidateFailedError as ex:
             raise ex
         except Exception as ex:

From 186e2d972ef77cf397f77af7613c1f8f2c5ad67d Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Thu, 6 Feb 2025 13:27:07 +0800
Subject: [PATCH 131/217] chore(deps): bump katex from 0.16.10 to 0.16.21 in
 /web (#13270)

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 web/package.json |  2 +-
 web/yarn.lock    | 15 +++++----------
 2 files changed, 6 insertions(+), 11 deletions(-)

diff --git a/web/package.json b/web/package.json
index 6ae11d71b4..952fac4a5f 100644
--- a/web/package.json
+++ b/web/package.json
@@ -62,7 +62,7 @@
     "js-audio-recorder": "^1.0.7",
     "js-cookie": "^3.0.1",
     "jwt-decode": "^4.0.0",
-    "katex": "^0.16.10",
+    "katex": "^0.16.21",
     "lamejs": "^1.2.1",
     "lexical": "^0.16.0",
     "line-clamp": "^1.0.0",
diff --git a/web/yarn.lock b/web/yarn.lock
index 6eed53dd39..9e64831e3e 100644
--- a/web/yarn.lock
+++ b/web/yarn.lock
@@ -5563,12 +5563,7 @@ debug@^4.4.0:
   dependencies:
     ms "^2.1.3"
 
-decimal.js@^10.4.2:
-  version "10.4.3"
-  resolved "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz"
-  integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
-
-decimal.js@^10.4.3:
+decimal.js@^10.4.2, decimal.js@^10.4.3:
   version "10.4.3"
   resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.4.3.tgz#1044092884d245d1b7f65725fa4ad4c6f781cc23"
   integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
@@ -8641,10 +8636,10 @@ jwt-decode@^4.0.0:
   resolved "https://registry.npmjs.org/jwt-decode/-/jwt-decode-4.0.0.tgz"
   integrity sha512-+KJGIyHgkGuIq3IEBNftfhW/LfWhXUIY6OmyVWjliu5KH1y0fw7VQ8YndE2O4qZdMSd9SqbnC8GOcZEy0Om7sA==
 
-katex@^0.16.0, katex@^0.16.10, katex@^0.16.9:
-  version "0.16.10"
-  resolved "https://registry.npmjs.org/katex/-/katex-0.16.10.tgz"
-  integrity sha512-ZiqaC04tp2O5utMsl2TEZTXxa6WSC4yo0fv5ML++D3QZv/vx2Mct0mTlRx3O+uUkjfuAgOkzsCmq5MiUEsDDdA==
+katex@^0.16.0, katex@^0.16.21, katex@^0.16.9:
+  version "0.16.21"
+  resolved "https://registry.yarnpkg.com/katex/-/katex-0.16.21.tgz#8f63c659e931b210139691f2cc7bb35166b792a3"
+  integrity sha512-XvqR7FgOHtWupfMiigNzmh+MgUVmDGU2kXZm899ZkPfcuoPuFxyHmXsgATDpFZDAXCI8tvinaVcDo8PIIJSo4A==
   dependencies:
     commander "^8.3.0"
 

From 49b4144ffddac5ae702321032f79aef034e9706e Mon Sep 17 00:00:00 2001
From: Wu Tianwei <30284043+WTW0313@users.noreply.github.com>
Date: Thu, 6 Feb 2025 14:26:16 +0800
Subject: [PATCH 132/217] fix: add dataset edit permissions (#13223)

---
 .../dataset-config/card-item/item.tsx         | 18 +++--
 .../configuration/dataset-config/index.tsx    | 22 ++++++-
 .../dataset-config/settings-modal/index.tsx   |  4 +-
 .../datasets/settings/form/index.tsx          |  4 +-
 .../settings/permission-selector/index.tsx    | 30 +++++----
 .../settings/permissions-radio/index.tsx      | 66 -------------------
 .../components/dataset-item.tsx               | 22 ++++---
 .../components/dataset-list.tsx               | 26 +++++++-
 web/models/datasets.ts                        |  8 ++-
 web/utils/permission.ts                       | 18 +++++
 10 files changed, 112 insertions(+), 106 deletions(-)
 delete mode 100644 web/app/components/datasets/settings/permissions-radio/index.tsx
 create mode 100644 web/utils/permission.ts

diff --git a/web/app/components/app/configuration/dataset-config/card-item/item.tsx b/web/app/components/app/configuration/dataset-config/card-item/item.tsx
index 9c5e6fa785..7036ae8c8a 100644
--- a/web/app/components/app/configuration/dataset-config/card-item/item.tsx
+++ b/web/app/components/app/configuration/dataset-config/card-item/item.tsx
@@ -23,12 +23,14 @@ type ItemProps = {
   onRemove: (id: string) => void
   readonly?: boolean
   onSave: (newDataset: DataSet) => void
+  editable?: boolean
 }
 
 const Item: FC<ItemProps> = ({
   config,
   onSave,
   onRemove,
+  editable = true,
 }) => {
   const media = useBreakpoints()
   const isMobile = media === MediaType.mobile
@@ -68,19 +70,21 @@ const Item: FC<ItemProps> = ({
         <div className='flex items-center h-[18px]'>
           <div className='grow text-[13px] font-medium text-gray-800 truncate' title={config.name}>{config.name}</div>
           {config.provider === 'external'
-            ? <Badge text={t('dataset.externalTag')}></Badge>
+            ? <Badge text={t('dataset.externalTag') as string} />
             : <Badge
               text={formatIndexingTechniqueAndMethod(config.indexing_technique, config.retrieval_model_dict?.search_method)}
             />}
         </div>
       </div>
       <div className='hidden rounded-lg group-hover:flex items-center justify-end absolute right-0 top-0 bottom-0 pr-2 w-[124px] bg-gradient-to-r from-white/50 to-white to-50%'>
-        <div
-          className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer'
-          onClick={() => setShowSettingsModal(true)}
-        >
-          <RiEditLine className='w-4 h-4 text-gray-500' />
-        </div>
+        {
+          editable && <div
+            className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer'
+            onClick={() => setShowSettingsModal(true)}
+          >
+            <RiEditLine className='w-4 h-4 text-gray-500' />
+          </div>
+        }
         <div
           className='group/action flex items-center justify-center w-6 h-6 hover:bg-[#FEE4E2] rounded-md cursor-pointer'
           onClick={() => onRemove(config.id)}
diff --git a/web/app/components/app/configuration/dataset-config/index.tsx b/web/app/components/app/configuration/dataset-config/index.tsx
index 78b49f81d0..ecbc52c5fd 100644
--- a/web/app/components/app/configuration/dataset-config/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/index.tsx
@@ -1,6 +1,6 @@
 'use client'
 import type { FC } from 'react'
-import React from 'react'
+import React, { useMemo } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
 import produce from 'immer'
@@ -19,6 +19,8 @@ import {
 } from '@/app/components/workflow/nodes/knowledge-retrieval/utils'
 import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
 import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import { hasEditPermissionForDataset } from '@/utils/permission'
 
 const Icon = (
   <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
@@ -29,6 +31,7 @@ const Icon = (
 
 const DatasetConfig: FC = () => {
   const { t } = useTranslation()
+  const userProfile = useAppContextSelector(s => s.userProfile)
   const {
     mode,
     dataSets: dataSet,
@@ -105,6 +108,20 @@ const DatasetConfig: FC = () => {
     setModelConfig(newModelConfig)
   }
 
+  const formattedDataset = useMemo(() => {
+    return dataSet.map((item) => {
+      const datasetConfig = {
+        createdBy: item.created_by,
+        partialMemberList: item.partial_member_list || [],
+        permission: item.permission,
+      }
+      return {
+        ...item,
+        editable: hasEditPermissionForDataset(userProfile?.id || '', datasetConfig),
+      }
+    })
+  }, [dataSet, userProfile?.id])
+
   return (
     <FeaturePanel
       className='mt-2'
@@ -122,12 +139,13 @@ const DatasetConfig: FC = () => {
       {hasData
         ? (
           <div className='flex flex-wrap mt-1 px-3 pb-3 justify-between'>
-            {dataSet.map(item => (
+            {formattedDataset.map(item => (
               <CardItem
                 key={item.id}
                 config={item}
                 onRemove={onRemove}
                 onSave={handleSave}
+                editable={item.editable}
               />
             ))}
           </div>
diff --git a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
index 506406cfe0..e00eb40341 100644
--- a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
@@ -12,7 +12,7 @@ import Divider from '@/app/components/base/divider'
 import Button from '@/app/components/base/button'
 import Input from '@/app/components/base/input'
 import Textarea from '@/app/components/base/textarea'
-import { type DataSet } from '@/models/datasets'
+import { type DataSet, DatasetPermission } from '@/models/datasets'
 import { useToastContext } from '@/app/components/base/toast'
 import { updateDatasetSetting } from '@/service/datasets'
 import { useAppContext } from '@/context/app-context'
@@ -134,7 +134,7 @@ const SettingsModal: FC<SettingsModalProps> = ({
           }),
         },
       } as any
-      if (permission === 'partial_members') {
+      if (permission === DatasetPermission.partialMembers) {
         requestParams.body.partial_member_list = selectedMemberIDs.map((id) => {
           return {
             user_id: id,
diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx
index 42ea7d637b..c25c9827a7 100644
--- a/web/app/components/datasets/settings/form/index.tsx
+++ b/web/app/components/datasets/settings/form/index.tsx
@@ -17,7 +17,7 @@ import Input from '@/app/components/base/input'
 import Textarea from '@/app/components/base/textarea'
 import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development'
 import { updateDatasetSetting } from '@/service/datasets'
-import { type DataSetListResponse } from '@/models/datasets'
+import { type DataSetListResponse, DatasetPermission } from '@/models/datasets'
 import DatasetDetailContext from '@/context/dataset-detail'
 import { type RetrievalConfig } from '@/types/app'
 import { useAppContext } from '@/context/app-context'
@@ -145,7 +145,7 @@ const Form = () => {
           }),
         },
       } as any
-      if (permission === 'partial_members') {
+      if (permission === DatasetPermission.partialMembers) {
         requestParams.body.partial_member_list = selectedMemberIDs.map((id) => {
           return {
             user_id: id,
diff --git a/web/app/components/datasets/settings/permission-selector/index.tsx b/web/app/components/datasets/settings/permission-selector/index.tsx
index 1668421772..62ec947f12 100644
--- a/web/app/components/datasets/settings/permission-selector/index.tsx
+++ b/web/app/components/datasets/settings/permission-selector/index.tsx
@@ -12,7 +12,7 @@ import Avatar from '@/app/components/base/avatar'
 import Input from '@/app/components/base/input'
 import { Check } from '@/app/components/base/icons/src/vender/line/general'
 import { Users01, UsersPlus } from '@/app/components/base/icons/src/vender/solid/users'
-import type { DatasetPermission } from '@/models/datasets'
+import { DatasetPermission } from '@/models/datasets'
 import { useAppContext } from '@/context/app-context'
 import type { Member } from '@/models/common'
 export type RoleSelectorProps = {
@@ -60,6 +60,10 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
     return memberList.filter(member => (member.name.includes(searchKeywords) || member.email.includes(searchKeywords)) && member.id !== userProfile.id && ['owner', 'admin', 'editor', 'dataset_operator'].includes(member.role))
   }, [memberList, searchKeywords, userProfile])
 
+  const isOnlyMe = permission === DatasetPermission.onlyMe
+  const isAllTeamMembers = permission === DatasetPermission.allTeamMembers
+  const isPartialMembers = permission === DatasetPermission.partialMembers
+
   return (
     <PortalToFollowElem
       open={open}
@@ -72,14 +76,14 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
           onClick={() => !disabled && setOpen(v => !v)}
           className='block'
         >
-          {permission === 'only_me' && (
+          {isOnlyMe && (
             <div className={cn('flex items-center px-3 py-[6px] rounded-lg bg-gray-100 cursor-pointer hover:bg-gray-200', open && 'bg-gray-200', disabled && 'hover:!bg-gray-100 !cursor-default')}>
               <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0 mr-2' size={24} />
               <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsOnlyMe')}</div>
               {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />}
             </div>
           )}
-          {permission === 'all_team_members' && (
+          {isAllTeamMembers && (
             <div className={cn('flex items-center px-3 py-[6px] rounded-lg bg-gray-100 cursor-pointer hover:bg-gray-200', open && 'bg-gray-200')}>
               <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'>
                 <Users01 className='w-3.5 h-3.5 text-[#444CE7]' />
@@ -88,7 +92,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
               {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />}
             </div>
           )}
-          {permission === 'partial_members' && (
+          {isPartialMembers && (
             <div className={cn('flex items-center px-3 py-[6px] rounded-lg bg-gray-100 cursor-pointer hover:bg-gray-200', open && 'bg-gray-200')}>
               <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'>
                 <Users01 className='w-3.5 h-3.5 text-[#444CE7]' />
@@ -102,17 +106,17 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
           <div className='relative w-[480px] rounded-lg border-[0.5px] bg-white shadow-lg'>
             <div className='p-1'>
               <div className='pl-3 pr-2 py-1 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => {
-                onChange('only_me')
+                onChange(DatasetPermission.onlyMe)
                 setOpen(false)
               }}>
                 <div className='flex items-center gap-2'>
                   <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0 mr-2' size={24} />
                   <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsOnlyMe')}</div>
-                  {permission === 'only_me' && <Check className='w-4 h-4 text-primary-600' />}
+                  {isOnlyMe && <Check className='w-4 h-4 text-primary-600' />}
                 </div>
               </div>
               <div className='pl-3 pr-2 py-1 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => {
-                onChange('all_team_members')
+                onChange(DatasetPermission.allTeamMembers)
                 setOpen(false)
               }}>
                 <div className='flex items-center gap-2'>
@@ -120,23 +124,23 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
                     <Users01 className='w-3.5 h-3.5 text-[#444CE7]' />
                   </div>
                   <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsAllMember')}</div>
-                  {permission === 'all_team_members' && <Check className='w-4 h-4 text-primary-600' />}
+                  {isAllTeamMembers && <Check className='w-4 h-4 text-primary-600' />}
                 </div>
               </div>
               <div className='pl-3 pr-2 py-1 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => {
-                onChange('partial_members')
+                onChange(DatasetPermission.partialMembers)
                 onMemberSelect([userProfile.id])
               }}>
                 <div className='flex items-center gap-2'>
-                  <div className={cn('mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#FFF6ED]', permission === 'partial_members' && '!bg-[#EEF4FF]')}>
-                    <UsersPlus className={cn('w-3.5 h-3.5 text-[#FB6514]', permission === 'partial_members' && '!text-[#444CE7]')} />
+                  <div className={cn('mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#FFF6ED]', isPartialMembers && '!bg-[#EEF4FF]')}>
+                    <UsersPlus className={cn('w-3.5 h-3.5 text-[#FB6514]', isPartialMembers && '!text-[#444CE7]')} />
                   </div>
                   <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsInvitedMembers')}</div>
-                  {permission === 'partial_members' && <Check className='w-4 h-4 text-primary-600' />}
+                  {isPartialMembers && <Check className='w-4 h-4 text-primary-600' />}
                 </div>
               </div>
             </div>
-            {permission === 'partial_members' && (
+            {isPartialMembers && (
               <div className='max-h-[360px] border-t-[1px] border-gray-100 p-1 overflow-y-auto'>
                 <div className='sticky left-0 top-0 p-2 pb-1 bg-white'>
                   <Input
diff --git a/web/app/components/datasets/settings/permissions-radio/index.tsx b/web/app/components/datasets/settings/permissions-radio/index.tsx
deleted file mode 100644
index 5270cfad81..0000000000
--- a/web/app/components/datasets/settings/permissions-radio/index.tsx
+++ /dev/null
@@ -1,66 +0,0 @@
-'use client'
-import { useTranslation } from 'react-i18next'
-import s from './index.module.css'
-import classNames from '@/utils/classnames'
-import type { DataSet } from '@/models/datasets'
-
-const itemClass = `
-  flex items-center w-full sm:w-[234px] h-12 px-3 rounded-xl bg-gray-25 border border-gray-100 cursor-pointer
-`
-const radioClass = `
-  w-4 h-4 border-[2px] border-gray-200 rounded-full
-`
-type IPermissionsRadioProps = {
-  value?: DataSet['permission']
-  onChange: (v?: DataSet['permission']) => void
-  itemClassName?: string
-  disable?: boolean
-}
-
-const PermissionsRadio = ({
-  value,
-  onChange,
-  itemClassName,
-  disable,
-}: IPermissionsRadioProps) => {
-  const { t } = useTranslation()
-  const options = [
-    {
-      key: 'only_me',
-      text: t('datasetSettings.form.permissionsOnlyMe'),
-    },
-    {
-      key: 'all_team_members',
-      text: t('datasetSettings.form.permissionsAllMember'),
-    },
-  ]
-
-  return (
-    <div className={classNames(s.wrapper, 'flex justify-between w-full flex-wrap gap-y-2')}>
-      {
-        options.map(option => (
-          <div
-            key={option.key}
-            className={classNames(
-              itemClass,
-              itemClassName,
-              s.item,
-              option.key === value && s['item-active'],
-              disable && s.disable,
-            )}
-            onClick={() => {
-              if (!disable)
-                onChange(option.key as DataSet['permission'])
-            }}
-          >
-            <div className={classNames(s['user-icon'], 'mr-3')} />
-            <div className='grow text-sm text-gray-900'>{option.text}</div>
-            <div className={classNames(radioClass, s.radio)} />
-          </div>
-        ))
-      }
-    </div>
-  )
-}
-
-export default PermissionsRadio
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
index 3e9be6485b..e65495d370 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
@@ -23,6 +23,7 @@ type Props = {
   onRemove: () => void
   onChange: (dataSet: DataSet) => void
   readonly?: boolean
+  editable?: boolean
 }
 
 const DatasetItem: FC<Props> = ({
@@ -30,6 +31,7 @@ const DatasetItem: FC<Props> = ({
   onRemove,
   onChange,
   readonly,
+  editable = true,
 }) => {
   const media = useBreakpoints()
   const { t } = useTranslation()
@@ -75,14 +77,16 @@ const DatasetItem: FC<Props> = ({
       </div>
       {!readonly && (
         <div className='hidden group-hover/dataset-item:flex shrink-0 ml-2  items-center space-x-1'>
-          <ActionButton
-            onClick={(e) => {
-              e.stopPropagation()
-              showSettingsModal()
-            }}
-          >
-            <RiEditLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' />
-          </ActionButton>
+          {
+            editable && <ActionButton
+              onClick={(e) => {
+                e.stopPropagation()
+                showSettingsModal()
+              }}
+            >
+              <RiEditLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' />
+            </ActionButton>
+          }
           <ActionButton
             onClick={handleRemove}
             state={ActionButtonState.Destructive}
@@ -102,7 +106,7 @@ const DatasetItem: FC<Props> = ({
       {
         payload.provider === 'external' && <Badge
           className='group-hover/dataset-item:hidden shrink-0'
-          text={t('dataset.externalTag')}
+          text={t('dataset.externalTag') as string}
         />
       }
 
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-list.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-list.tsx
index 3a31cddbce..a30de8b104 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-list.tsx
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-list.tsx
@@ -1,10 +1,13 @@
 'use client'
 import type { FC } from 'react'
-import React, { useCallback } from 'react'
+import React, { useCallback, useMemo } from 'react'
 import produce from 'immer'
 import { useTranslation } from 'react-i18next'
 import Item from './dataset-item'
 import type { DataSet } from '@/models/datasets'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import { hasEditPermissionForDataset } from '@/utils/permission'
+
 type Props = {
   list: DataSet[]
   onChange: (list: DataSet[]) => void
@@ -17,6 +20,7 @@ const DatasetList: FC<Props> = ({
   readonly,
 }) => {
   const { t } = useTranslation()
+  const userProfile = useAppContextSelector(s => s.userProfile)
 
   const handleRemove = useCallback((index: number) => {
     return () => {
@@ -35,10 +39,25 @@ const DatasetList: FC<Props> = ({
       onChange(newList)
     }
   }, [list, onChange])
+
+  const formattedList = useMemo(() => {
+    return list.map((item) => {
+      const datasetConfig = {
+        createdBy: item.created_by,
+        partialMemberList: item.partial_member_list || [],
+        permission: item.permission,
+      }
+      return {
+        ...item,
+        editable: hasEditPermissionForDataset(userProfile?.id || '', datasetConfig),
+      }
+    })
+  }, [list, userProfile?.id])
+
   return (
     <div className='space-y-1'>
-      {list.length
-        ? list.map((item, index) => {
+      {formattedList.length
+        ? formattedList.map((item, index) => {
           return (
             <Item
               key={index}
@@ -46,6 +65,7 @@ const DatasetList: FC<Props> = ({
               onRemove={handleRemove(index)}
               onChange={handleChange(index)}
               readonly={readonly}
+              editable={item.editable}
             />
           )
         })
diff --git a/web/models/datasets.ts b/web/models/datasets.ts
index 673fb5fb15..170fe1911f 100644
--- a/web/models/datasets.ts
+++ b/web/models/datasets.ts
@@ -9,7 +9,11 @@ export enum DataSourceType {
   WEB = 'website_crawl',
 }
 
-export type DatasetPermission = 'only_me' | 'all_team_members' | 'partial_members'
+export enum DatasetPermission {
+  'onlyMe' = 'only_me',
+  'allTeamMembers' = 'all_team_members',
+  'partialMembers' = 'partial_members',
+}
 
 export enum ChunkingMode {
   'text' = 'text_model', // General text
@@ -40,7 +44,7 @@ export type DataSet = {
   retrieval_model_dict: RetrievalConfig
   retrieval_model: RetrievalConfig
   tags: Tag[]
-  partial_member_list?: any[]
+  partial_member_list?: string[]
   external_knowledge_info: {
     external_knowledge_id: string
     external_knowledge_api_id: string
diff --git a/web/utils/permission.ts b/web/utils/permission.ts
new file mode 100644
index 0000000000..8a7b9f5fa1
--- /dev/null
+++ b/web/utils/permission.ts
@@ -0,0 +1,18 @@
+import { DatasetPermission } from '@/models/datasets'
+
+type DatasetConfig = {
+  createdBy: string
+  partialMemberList: string[]
+  permission: DatasetPermission
+}
+
+export const hasEditPermissionForDataset = (userId: string, datasetConfig: DatasetConfig) => {
+  const { createdBy, partialMemberList, permission } = datasetConfig
+  if (permission === DatasetPermission.onlyMe)
+    return userId === createdBy
+  if (permission === DatasetPermission.allTeamMembers)
+    return true
+  if (permission === DatasetPermission.partialMembers)
+    return partialMemberList.includes(userId)
+  return false
+}

From 0d13aee15cdcf748324056f58ca9cea9888dd3b4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=91=86=E8=90=8C=E9=97=B7=E6=B2=B9=E7=93=B6?=
 <253605712@qq.com>
Date: Thu, 6 Feb 2025 15:32:10 +0800
Subject: [PATCH 133/217] feat:add deepseek r1 think display for ollama
 provider (#13272)

---
 api/core/model_runtime/model_providers/ollama/llm/llm.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py
index 3ae728d4b3..0377731175 100644
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py
@@ -314,6 +314,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
         """
         full_text = ""
         chunk_index = 0
+        is_reasoning_started = False
 
         def create_final_llm_result_chunk(
             index: int, message: AssistantPromptMessage, finish_reason: str
@@ -367,6 +368,14 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
 
                 # transform assistant message to prompt message
                 text = chunk_json["response"]
+            if "<think>" in text:
+                is_reasoning_started = True
+                text = text.replace("<think>", "> 💭 ")
+            elif "</think>" in text:
+                is_reasoning_started = False
+                text = text.replace("</think>", "") + "\n\n"
+            elif is_reasoning_started:
+                text = text.replace("\n", "\n> ")
 
             assistant_prompt_message = AssistantPromptMessage(content=text)
 

From 16865d43a8195053a5f1fe45d414e5332a568c1d Mon Sep 17 00:00:00 2001
From: zhu-an <70234959+xhdd123321@users.noreply.github.com>
Date: Thu, 6 Feb 2025 18:20:03 +0800
Subject: [PATCH 134/217] feat: add deepseek models for volcengine provider
 (#13283)

Co-authored-by: zhaoqingyu.1075 <zhaoqingyu.1075@bytedance.com>
---
 .../volcengine_maas/llm/models.py             | 16 +++++++++++++
 .../volcengine_maas/volcengine_maas.yaml      | 24 +++++++++++++++++++
 2 files changed, 40 insertions(+)

diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
index 94315cd026..6a2b0e5087 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
@@ -18,6 +18,22 @@ class ModelConfig(BaseModel):
 
 
 configs: dict[str, ModelConfig] = {
+    "DeepSeek-R1-Distill-Qwen-32B": ModelConfig(
+        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
+    "DeepSeek-R1-Distill-Qwen-7B": ModelConfig(
+        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
+    "DeepSeek-R1": ModelConfig(
+        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT],
+    ),
+    "DeepSeek-V3": ModelConfig(
+        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
+        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL, ModelFeature.STREAM_TOOL_CALL],
+    ),
     "Doubao-1.5-vision-pro-32k": ModelConfig(
         properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
         features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
index 976cd26ac9..210ac1cdf1 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
+++ b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
@@ -118,6 +118,30 @@ model_credential_schema:
       type: select
       required: true
       options:
+        - label:
+            en_US: DeepSeek-R1-Distill-Qwen-32B
+          value: DeepSeek-R1-Distill-Qwen-32B
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: DeepSeek-R1-Distill-Qwen-7B
+          value: DeepSeek-R1-Distill-Qwen-7B
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: DeepSeek-R1
+          value: DeepSeek-R1
+          show_on:
+            - variable: __model_type
+              value: llm
+        - label:
+            en_US: DeepSeek-V3
+          value: DeepSeek-V3
+          show_on:
+            - variable: __model_type
+              value: llm
         - label:
             en_US: Doubao-1.5-vision-pro-32k
           value: Doubao-1.5-vision-pro-32k

From ba91f34636cbc3e5beb1894b544902695dcfcbac Mon Sep 17 00:00:00 2001
From: le0zh <newlight@qq.com>
Date: Thu, 6 Feb 2025 19:32:21 +0800
Subject: [PATCH 135/217] fix: incorrect transferMethod assignment for remote
 file (#13286)

---
 web/app/components/base/file-uploader/hooks.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/base/file-uploader/hooks.ts b/web/app/components/base/file-uploader/hooks.ts
index 256202d783..b4c8fe1008 100644
--- a/web/app/components/base/file-uploader/hooks.ts
+++ b/web/app/components/base/file-uploader/hooks.ts
@@ -211,7 +211,7 @@ export const useFile = (fileConfig: FileUpload) => {
       type: '',
       size: 0,
       progress: 0,
-      transferMethod: TransferMethod.local_file,
+      transferMethod: TransferMethod.remote_url,
       supportFileType: '',
       url,
       isRemote: true,

From f7e7a399d91c6b7dbde53b39b996b3b85b181ad9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=91=86=E8=90=8C=E9=97=B7=E6=B2=B9=E7=93=B6?=
 <253605712@qq.com>
Date: Thu, 6 Feb 2025 22:04:58 +0800
Subject: [PATCH 136/217] feat:add think tag display for xinference deepseek r1
 (#13291)

---
 .../model_providers/xinference/llm/llm.py     | 22 ++++++++++++++-----
 1 file changed, 16 insertions(+), 6 deletions(-)

diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py
index e89b3ab613..87f89ed061 100644
--- a/api/core/model_runtime/model_providers/xinference/llm/llm.py
+++ b/api/core/model_runtime/model_providers/xinference/llm/llm.py
@@ -1,3 +1,4 @@
+import re
 from collections.abc import Generator, Iterator
 from typing import Optional, cast
 
@@ -635,16 +636,16 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
         handle stream chat generate response
         """
         full_response = ""
-
+        is_reasoning_started_tag = False
         for chunk in resp:
             if len(chunk.choices) == 0:
                 continue
-
             delta = chunk.choices[0]
-
             if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
                 continue
-
+            delta_content = delta.delta.content
+            if not delta_content:
+                delta_content = ""
             # check if there is a tool call in the response
             function_call = None
             tool_calls = []
@@ -657,9 +658,18 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
             if function_call:
                 assistant_message_tool_calls += [self._extract_response_function_call(function_call)]
 
+            if not is_reasoning_started_tag and "<think>" in delta_content:
+                is_reasoning_started_tag = True
+                delta_content = "> 💭 " + delta_content.replace("<think>", "")
+            elif is_reasoning_started_tag and "</think>" in delta_content:
+                delta_content = delta_content.replace("</think>", "") + "\n\n"
+                is_reasoning_started_tag = False
+            elif is_reasoning_started_tag:
+                if "\n" in delta_content:
+                    delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
             # transform assistant message to prompt message
             assistant_prompt_message = AssistantPromptMessage(
-                content=delta.delta.content or "", tool_calls=assistant_message_tool_calls
+                content=delta_content or "", tool_calls=assistant_message_tool_calls
             )
 
             if delta.finish_reason is not None:
@@ -697,7 +707,7 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
                     ),
                 )
 
-                full_response += delta.delta.content
+                full_response += delta_content
 
     def _handle_completion_generate_response(
         self,

From 2348abe4bfa189e79c35e0e2f113f7a7eea8c734 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Thu, 6 Feb 2025 20:11:25 -0500
Subject: [PATCH 137/217] =?UTF-8?q?feat:=20added=20a=20couple=20of=20model?=
 =?UTF-8?q?s=20not=20defined=20in=20vertex=20ai,=20that=20were=20already?=
 =?UTF-8?q?=20=E2=80=A6=20(#13296)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../gemini-2.0-flash-thinking-exp-1219.yaml   | 39 ++++++++++++++++++
 .../vertex_ai/llm/gemini-exp-1114.yaml        | 41 +++++++++++++++++++
 .../vertex_ai/llm/gemini-exp-1121.yaml        | 41 +++++++++++++++++++
 .../vertex_ai/llm/gemini-exp-1206.yaml        | 41 +++++++++++++++++++
 4 files changed, 162 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1114.yaml
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1121.yaml
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1206.yaml

diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml
new file mode 100644
index 0000000000..dfcf8fd050
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml
@@ -0,0 +1,39 @@
+model: gemini-2.0-flash-thinking-exp-1219
+label:
+  en_US: Gemini 2.0 Flash Thinking Exp 1219
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1114.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1114.yaml
new file mode 100644
index 0000000000..bd49b47693
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1114.yaml
@@ -0,0 +1,41 @@
+model: gemini-exp-1114
+label:
+  en_US: Gemini exp 1114
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1121.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1121.yaml
new file mode 100644
index 0000000000..8e3f218df4
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1121.yaml
@@ -0,0 +1,41 @@
+model: gemini-exp-1121
+label:
+  en_US: Gemini exp 1121
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1206.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1206.yaml
new file mode 100644
index 0000000000..7a7c361c43
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-exp-1206.yaml
@@ -0,0 +1,41 @@
+model: gemini-exp-1206
+label:
+  en_US: Gemini exp 1206
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From e638ede3f2f05a6e06e7acb39f5da12d425634be Mon Sep 17 00:00:00 2001
From: Kemal <kemalmeler@outlook.com>
Date: Fri, 7 Feb 2025 08:11:39 +0700
Subject: [PATCH 138/217] Update README_TR.md (#13294)

---
 README_TR.md | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/README_TR.md b/README_TR.md
index a83aa3fd19..d858618eaa 100644
--- a/README_TR.md
+++ b/README_TR.md
@@ -65,8 +65,6 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
 
-Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
-
 **3. Prompt IDE**: 
   Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
 
@@ -153,8 +151,6 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 ## Dify'ı Kullanma
 
 - **Cloud </br>**
-İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
-- 
 Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
 
 - **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
@@ -180,8 +176,6 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
 >- RAM >= 4GB
 
 </br>
-İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
-
 Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
 
 ```bash

From 04d13a81168d2142fb1f3faefb992f814fb3d040 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 11:01:31 +0800
Subject: [PATCH 139/217] feat(credits): Allow to configure model-credit
 mapping (#13274)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../feature/hosted_service/__init__.py        | 35 ++++++++++++++++++-
 api/core/workflow/nodes/llm/node.py           |  6 ++--
 .../deduct_quota_when_message_created.py      |  6 ++--
 3 files changed, 38 insertions(+), 9 deletions(-)

diff --git a/api/configs/feature/hosted_service/__init__.py b/api/configs/feature/hosted_service/__init__.py
index 7dd47e3658..63aec89038 100644
--- a/api/configs/feature/hosted_service/__init__.py
+++ b/api/configs/feature/hosted_service/__init__.py
@@ -1,9 +1,40 @@
 from typing import Optional
 
-from pydantic import Field, NonNegativeInt
+from pydantic import Field, NonNegativeInt, computed_field
 from pydantic_settings import BaseSettings
 
 
+class HostedCreditConfig(BaseSettings):
+    HOSTED_MODEL_CREDIT_CONFIG: str = Field(
+        description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
+        default="",
+    )
+
+    def get_model_credits(self, model_name: str) -> int:
+        """
+        Get credit value for a specific model name.
+        Returns 1 if model is not found in configuration (default credit).
+
+        :param model_name: The name of the model to search for
+        :return: The credit value for the model
+        """
+        if not self.HOSTED_MODEL_CREDIT_CONFIG:
+            return 1
+
+        try:
+            credit_map = dict(
+                item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
+            )
+
+            # Search for matching model pattern
+            for pattern, credit in credit_map.items():
+                if pattern.strip() in model_name:
+                    return int(credit)
+            return 1  # Default quota if no match found
+        except (ValueError, AttributeError):
+            return 1  # Return default quota if parsing fails
+
+
 class HostedOpenAiConfig(BaseSettings):
     """
     Configuration for hosted OpenAI service
@@ -202,5 +233,7 @@ class HostedServiceConfig(
     HostedZhipuAIConfig,
     # moderation
     HostedModerationConfig,
+    # credit config
+    HostedCreditConfig,
 ):
     pass
diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py
index 6a4f8c4e20..7e28aa7a3f 100644
--- a/api/core/workflow/nodes/llm/node.py
+++ b/api/core/workflow/nodes/llm/node.py
@@ -3,6 +3,7 @@ import logging
 from collections.abc import Generator, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Optional, cast
 
+from configs import dify_config
 from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
 from core.entities.model_entities import ModelStatus
 from core.entities.provider_entities import QuotaUnit
@@ -732,10 +733,7 @@ class LLMNode(BaseNode[LLMNodeData]):
             if quota_unit == QuotaUnit.TOKENS:
                 used_quota = usage.total_tokens
             elif quota_unit == QuotaUnit.CREDITS:
-                used_quota = 1
-
-                if "gpt-4" in model_instance.model:
-                    used_quota = 20
+                used_quota = dify_config.get_model_credits(model_instance.model)
             else:
                 used_quota = 1
 
diff --git a/api/events/event_handlers/deduct_quota_when_message_created.py b/api/events/event_handlers/deduct_quota_when_message_created.py
index 1ed37efba0..d196a48620 100644
--- a/api/events/event_handlers/deduct_quota_when_message_created.py
+++ b/api/events/event_handlers/deduct_quota_when_message_created.py
@@ -1,3 +1,4 @@
+from configs import dify_config
 from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, ChatAppGenerateEntity
 from core.entities.provider_entities import QuotaUnit
 from events.message_event import message_was_created
@@ -37,10 +38,7 @@ def handle(sender, **kwargs):
         if quota_unit == QuotaUnit.TOKENS:
             used_quota = message.message_tokens + message.answer_tokens
         elif quota_unit == QuotaUnit.CREDITS:
-            used_quota = 1
-
-            if "gpt-4" in model_config.model:
-                used_quota = 20
+            used_quota = dify_config.get_model_credits(model_config.model)
         else:
             used_quota = 1
 

From 6e5c915f96b4b52a770ca51bec0b7baa2dc1abac Mon Sep 17 00:00:00 2001
From: sino <sino2322@gmail.com>
Date: Fri, 7 Feb 2025 12:39:13 +0800
Subject: [PATCH 140/217] feat(model): add deepseek-r1 for openrouter (#13312)

---
 .../openrouter/llm/_position.yaml             |  1 +
 .../openrouter/llm/deepseek-chat.yaml         |  4 +-
 .../openrouter/llm/deepseek-r1.yaml           | 59 +++++++++++++++++++
 3 files changed, 62 insertions(+), 2 deletions(-)
 create mode 100644 api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml

diff --git a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
index dd4f3fde51..c404cc6ed3 100644
--- a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
@@ -30,5 +30,6 @@
 - mistralai/mistral-7b-instruct
 - qwen/qwen-2.5-72b-instruct
 - qwen/qwen-2-72b-instruct
+- deepseek/deepseek-r1
 - deepseek/deepseek-chat
 - deepseek/deepseek-coder
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml
index 6743bfcad6..c7982ec135 100644
--- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml
+++ b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml
@@ -53,7 +53,7 @@ parameter_rules:
       zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
       en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content.
 pricing:
-  input: "0.14"
-  output: "0.28"
+  input: "0.49"
+  output: "0.89"
   unit: "0.000001"
   currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml
new file mode 100644
index 0000000000..488b7dd4ab
--- /dev/null
+++ b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml
@@ -0,0 +1,59 @@
+model: deepseek/deepseek-r1
+label:
+  en_US: deepseek-r1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 163840
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 1
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
+      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 4096
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 1
+    min: 0.01
+    max: 1.00
+    help:
+      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
+      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    default: 0
+    min: -2.0
+    max: 2.0
+    help:
+      zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
+      en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content.
+pricing:
+  input: "3"
+  output: "8"
+  unit: "0.000001"
+  currency: USD

From be46f32056bb745ae9a339d410ca56ffe35dc517 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 13:28:17 +0800
Subject: [PATCH 141/217] fix(credits): require model name equals (#13314)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/configs/feature/hosted_service/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/configs/feature/hosted_service/__init__.py b/api/configs/feature/hosted_service/__init__.py
index 63aec89038..71d06f4623 100644
--- a/api/configs/feature/hosted_service/__init__.py
+++ b/api/configs/feature/hosted_service/__init__.py
@@ -28,7 +28,7 @@ class HostedCreditConfig(BaseSettings):
 
             # Search for matching model pattern
             for pattern, credit in credit_map.items():
-                if pattern.strip() in model_name:
+                if pattern.strip() == model_name:
                     return int(credit)
             return 1  # Default quota if no match found
         except (ValueError, AttributeError):

From 3eb3db0663ab54ec6ef743d5352bd2c049c13771 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= <hjlarry@163.com>
Date: Fri, 7 Feb 2025 13:28:46 +0800
Subject: [PATCH 142/217] chore: refactor the OpenAICompatible and improve
 thinking display (#13299)

---
 .../__base/large_language_model.py            |  39 ++++
 .../openai_api_compatible/llm/llm.py          | 200 ++++++++----------
 2 files changed, 129 insertions(+), 110 deletions(-)

diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py
index 402a30376b..780a55681a 100644
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -30,6 +30,11 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel
 
 logger = logging.getLogger(__name__)
 
+HTML_THINKING_TAG = (
+    '<details style="color:gray;background-color: #f5f5f5;padding: 8px;border-radius: 4px;" open> '
+    "<summary> Thinking... </summary>"
+)
+
 
 class LargeLanguageModel(AIModel):
     """
@@ -400,6 +405,40 @@ if you are not sure about the structure.
                     ),
                 )
 
+    def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
+        """
+        If the reasoning response is from delta.get("reasoning_content"), we wrap
+        it with HTML details tag.
+
+        :param delta: delta dictionary from LLM streaming response
+        :param is_reasoning: is reasoning
+        :return: tuple of (processed_content, is_reasoning)
+        """
+
+        content = delta.get("content") or ""
+        reasoning_content = delta.get("reasoning_content")
+
+        if reasoning_content:
+            if not is_reasoning:
+                content = HTML_THINKING_TAG + reasoning_content
+                is_reasoning = True
+            else:
+                content = reasoning_content
+        elif is_reasoning:
+            content = "</details>" + content
+            is_reasoning = False
+        return content, is_reasoning
+
+    def _wrap_thinking_by_tag(self, content: str) -> str:
+        """
+        if the reasoning response is a <think>...</think> block from delta.get("content"),
+        we replace <think> to <detail>.
+
+        :param content: delta.get("content")
+        :return: processed_content
+        """
+        return content.replace("<think>", HTML_THINKING_TAG).replace("</think>", "</details>")
+
     def _invoke_result_generator(
         self,
         model: str,
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
index 17aefc7efc..7f79da267f 100644
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
@@ -1,6 +1,5 @@
+import codecs
 import json
-import logging
-import re
 from collections.abc import Generator
 from decimal import Decimal
 from typing import Optional, Union, cast
@@ -39,8 +38,6 @@ from core.model_runtime.model_providers.__base.large_language_model import Large
 from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
 from core.model_runtime.utils import helper
 
-logger = logging.getLogger(__name__)
-
 
 class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
     """
@@ -100,7 +97,7 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
         :param tools: tools for tool calling
         :return:
         """
-        return self._num_tokens_from_messages(model, prompt_messages, tools, credentials)
+        return self._num_tokens_from_messages(prompt_messages, tools, credentials)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:
         """
@@ -399,6 +396,73 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
         return self._handle_generate_response(model, credentials, response, prompt_messages)
 
+    def _create_final_llm_result_chunk(
+        self,
+        index: int,
+        message: AssistantPromptMessage,
+        finish_reason: str,
+        usage: dict,
+        model: str,
+        prompt_messages: list[PromptMessage],
+        credentials: dict,
+        full_content: str,
+    ) -> LLMResultChunk:
+        # calculate num tokens
+        prompt_tokens = usage and usage.get("prompt_tokens")
+        if prompt_tokens is None:
+            prompt_tokens = self._num_tokens_from_string(text=prompt_messages[0].content)
+        completion_tokens = usage and usage.get("completion_tokens")
+        if completion_tokens is None:
+            completion_tokens = self._num_tokens_from_string(text=full_content)
+
+        # transform usage
+        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
+
+        return LLMResultChunk(
+            model=model,
+            prompt_messages=prompt_messages,
+            delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
+        )
+
+    def _get_tool_call(self, tool_call_id: str, tools_calls: list[AssistantPromptMessage.ToolCall]):
+        """
+        Get or create a tool call by ID
+
+        :param tool_call_id: tool call ID
+        :param tools_calls: list of existing tool calls
+        :return: existing or new tool call, updated tools_calls
+        """
+        if not tool_call_id:
+            return tools_calls[-1], tools_calls
+
+        tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
+        if tool_call is None:
+            tool_call = AssistantPromptMessage.ToolCall(
+                id=tool_call_id,
+                type="function",
+                function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
+            )
+            tools_calls.append(tool_call)
+
+        return tool_call, tools_calls
+
+    def _increase_tool_call(
+        self, new_tool_calls: list[AssistantPromptMessage.ToolCall], tools_calls: list[AssistantPromptMessage.ToolCall]
+    ) -> list[AssistantPromptMessage.ToolCall]:
+        for new_tool_call in new_tool_calls:
+            # get tool call
+            tool_call, tools_calls = self._get_tool_call(new_tool_call.function.name, tools_calls)
+            # update tool call
+            if new_tool_call.id:
+                tool_call.id = new_tool_call.id
+            if new_tool_call.type:
+                tool_call.type = new_tool_call.type
+            if new_tool_call.function.name:
+                tool_call.function.name = new_tool_call.function.name
+            if new_tool_call.function.arguments:
+                tool_call.function.arguments += new_tool_call.function.arguments
+        return tools_calls
+
     def _handle_generate_stream_response(
         self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
     ) -> Generator:
@@ -411,71 +475,15 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
         :param prompt_messages: prompt messages
         :return: llm response chunk generator
         """
-        full_assistant_content = ""
         chunk_index = 0
-
-        def create_final_llm_result_chunk(
-            id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = usage and usage.get("prompt_tokens")
-            if prompt_tokens is None:
-                prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = usage and usage.get("completion_tokens")
-            if completion_tokens is None:
-                completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                id=id,
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-            )
-
+        full_assistant_content = ""
+        tools_calls: list[AssistantPromptMessage.ToolCall] = []
+        finish_reason = None
+        usage = None
+        is_reasoning_started = False
         # delimiter for stream response, need unicode_escape
-        import codecs
-
         delimiter = credentials.get("stream_mode_delimiter", "\n\n")
         delimiter = codecs.decode(delimiter, "unicode_escape")
-
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-
-        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
-            def get_tool_call(tool_call_id: str):
-                if not tool_call_id:
-                    return tools_calls[-1]
-
-                tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
-                if tool_call is None:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=tool_call_id,
-                        type="function",
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
-                    )
-                    tools_calls.append(tool_call)
-
-                return tool_call
-
-            for new_tool_call in new_tool_calls:
-                # get tool call
-                tool_call = get_tool_call(new_tool_call.function.name)
-                # update tool call
-                if new_tool_call.id:
-                    tool_call.id = new_tool_call.id
-                if new_tool_call.type:
-                    tool_call.type = new_tool_call.type
-                if new_tool_call.function.name:
-                    tool_call.function.name = new_tool_call.function.name
-                if new_tool_call.function.arguments:
-                    tool_call.function.arguments += new_tool_call.function.arguments
-
-        finish_reason = None  # The default value of finish_reason is None
-        message_id, usage = None, None
-        is_reasoning_started = False
-        is_reasoning_started_tag = False
         for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
             chunk = chunk.strip()
             if chunk:
@@ -490,12 +498,15 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                     chunk_json: dict = json.loads(decoded_chunk)
                 # stream ended
                 except json.JSONDecodeError as e:
-                    yield create_final_llm_result_chunk(
-                        id=message_id,
+                    yield self._create_final_llm_result_chunk(
                         index=chunk_index + 1,
                         message=AssistantPromptMessage(content=""),
                         finish_reason="Non-JSON encountered.",
                         usage=usage,
+                        model=model,
+                        credentials=credentials,
+                        prompt_messages=prompt_messages,
+                        full_content=full_assistant_content,
                     )
                     break
                 # handle the error here. for issue #11629
@@ -510,42 +521,14 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
                 choice = chunk_json["choices"][0]
                 finish_reason = chunk_json["choices"][0].get("finish_reason")
-                message_id = chunk_json.get("id")
                 chunk_index += 1
 
                 if "delta" in choice:
                     delta = choice["delta"]
-                    delta_content = delta.get("content")
-                    if not delta_content:
-                        delta_content = ""
-
-                    if not is_reasoning_started_tag and "<think>" in delta_content:
-                        is_reasoning_started_tag = True
-                        delta_content = "> 💭 " + delta_content.replace("<think>", "")
-                    elif is_reasoning_started_tag and "</think>" in delta_content:
-                        delta_content = delta_content.replace("</think>", "") + "\n\n"
-                        is_reasoning_started_tag = False
-                    elif is_reasoning_started_tag:
-                        if "\n" in delta_content:
-                            delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
-
-                    reasoning_content = delta.get("reasoning_content")
-                    if is_reasoning_started and not reasoning_content and not delta_content:
-                        delta_content = ""
-                    elif reasoning_content:
-                        if not is_reasoning_started:
-                            delta_content = "> 💭 " + reasoning_content
-                            is_reasoning_started = True
-                        else:
-                            delta_content = reasoning_content
-
-                        if "\n" in delta_content:
-                            delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
-                    elif is_reasoning_started:
-                        # If we were in reasoning mode but now getting regular content,
-                        # add \n\n to close the reasoning block
-                        delta_content = "\n\n" + delta_content
-                        is_reasoning_started = False
+                    delta_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
+                        delta, is_reasoning_started
+                    )
+                    delta_content = self._wrap_thinking_by_tag(delta_content)
 
                     assistant_message_tool_calls = None
 
@@ -559,12 +542,10 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                             {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
                         ]
 
-                    # assistant_message_function_call = delta.delta.function_call
-
                     # extract tool calls from response
                     if assistant_message_tool_calls:
                         tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        increase_tool_call(tool_calls)
+                        tools_calls = self._increase_tool_call(tool_calls, tools_calls)
 
                     if delta_content is None or delta_content == "":
                         continue
@@ -589,7 +570,6 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                     continue
 
                 yield LLMResultChunk(
-                    id=message_id,
                     model=model,
                     prompt_messages=prompt_messages,
                     delta=LLMResultChunkDelta(
@@ -602,7 +582,6 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
         if tools_calls:
             yield LLMResultChunk(
-                id=message_id,
                 model=model,
                 prompt_messages=prompt_messages,
                 delta=LLMResultChunkDelta(
@@ -611,12 +590,15 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                 ),
             )
 
-        yield create_final_llm_result_chunk(
-            id=message_id,
+        yield self._create_final_llm_result_chunk(
             index=chunk_index,
             message=AssistantPromptMessage(content=""),
             finish_reason=finish_reason,
             usage=usage,
+            model=model,
+            credentials=credentials,
+            prompt_messages=prompt_messages,
+            full_content=full_assistant_content,
         )
 
     def _handle_generate_response(
@@ -730,12 +712,11 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
         return message_dict
 
     def _num_tokens_from_string(
-        self, model: str, text: Union[str, list[PromptMessageContent]], tools: Optional[list[PromptMessageTool]] = None
+        self, text: Union[str, list[PromptMessageContent]], tools: Optional[list[PromptMessageTool]] = None
     ) -> int:
         """
         Approximate num tokens for model with gpt2 tokenizer.
 
-        :param model: model name
         :param text: prompt text
         :param tools: tools for tool calling
         :return: number of tokens
@@ -758,7 +739,6 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
     def _num_tokens_from_messages(
         self,
-        model: str,
         messages: list[PromptMessage],
         tools: Optional[list[PromptMessageTool]] = None,
         credentials: Optional[dict] = None,

From b7c11c1818c9e710e09c5a7b742bc9b65fac2b5c Mon Sep 17 00:00:00 2001
From: Lazy_Frog <4590648+lazyFrogLOL@users.noreply.github.com>
Date: Fri, 7 Feb 2025 13:56:08 +0800
Subject: [PATCH 143/217] Fix the problem of Workflow terminates after parallel
 tasks execution, merge node not triggered (#12498)

Co-authored-by: Novice Lee <novicelee@NoviPro.local>
---
 api/core/workflow/graph_engine/entities/graph.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/api/core/workflow/graph_engine/entities/graph.py b/api/core/workflow/graph_engine/entities/graph.py
index 5c672c985b..1c6b4b6618 100644
--- a/api/core/workflow/graph_engine/entities/graph.py
+++ b/api/core/workflow/graph_engine/entities/graph.py
@@ -590,6 +590,8 @@ class Graph(BaseModel):
                             start_node_id=node_id,
                             routes_node_ids=routes_node_ids,
                         )
+                        # Exclude conditional branch nodes
+                        and all(edge.run_condition is None for edge in reverse_edge_mapping.get(node_id, []))
                     ):
                         if node_id not in merge_branch_node_ids:
                             merge_branch_node_ids[node_id] = []

From 1caa578771f75d469502bd94a05f14ace58bdef4 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 14:06:35 +0800
Subject: [PATCH 144/217] chore(*): Update style of thinking (#13319)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 .../model_providers/__base/large_language_model.py              | 2 +-
 web/app/styles/markdown.scss                                    | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py
index 780a55681a..b45b2ca025 100644
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -31,7 +31,7 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel
 logger = logging.getLogger(__name__)
 
 HTML_THINKING_TAG = (
-    '<details style="color:gray;background-color: #f5f5f5;padding: 8px;border-radius: 4px;" open> '
+    '<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> '
     "<summary> Thinking... </summary>"
 )
 
diff --git a/web/app/styles/markdown.scss b/web/app/styles/markdown.scss
index 214d8d2782..92331505ec 100644
--- a/web/app/styles/markdown.scss
+++ b/web/app/styles/markdown.scss
@@ -47,7 +47,7 @@
 .markdown-body {
   -ms-text-size-adjust: 100%;
   -webkit-text-size-adjust: 100%;
-  margin: 0;
+  margin: 4px 0 0 0;
   color: #101828;
   background-color: var(--color-canvas-default);
   font-size: 14px;

From 3f42fabff837b06a167ca2d0c5f864a6de9a4752 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=91=86=E8=90=8C=E9=97=B7=E6=B2=B9=E7=93=B6?=
 <253605712@qq.com>
Date: Fri, 7 Feb 2025 14:29:29 +0800
Subject: [PATCH 145/217] =?UTF-8?q?chore:improve=20thinking=20display=20fo?=
 =?UTF-8?q?r=20llm=20from=20xinference=20and=20ollama=20pro=E2=80=A6=20(#1?=
 =?UTF-8?q?3318)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../model_providers/ollama/llm/llm.py            | 10 +---------
 .../model_providers/xinference/llm/llm.py        | 16 ++--------------
 2 files changed, 3 insertions(+), 23 deletions(-)

diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py
index 0377731175..b640914b39 100644
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py
@@ -314,7 +314,6 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
         """
         full_text = ""
         chunk_index = 0
-        is_reasoning_started = False
 
         def create_final_llm_result_chunk(
             index: int, message: AssistantPromptMessage, finish_reason: str
@@ -368,14 +367,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
 
                 # transform assistant message to prompt message
                 text = chunk_json["response"]
-            if "<think>" in text:
-                is_reasoning_started = True
-                text = text.replace("<think>", "> 💭 ")
-            elif "</think>" in text:
-                is_reasoning_started = False
-                text = text.replace("</think>", "") + "\n\n"
-            elif is_reasoning_started:
-                text = text.replace("\n", "\n> ")
+            text = self._wrap_thinking_by_tag(text)
 
             assistant_prompt_message = AssistantPromptMessage(content=text)
 
diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py
index 87f89ed061..fcf452d627 100644
--- a/api/core/model_runtime/model_providers/xinference/llm/llm.py
+++ b/api/core/model_runtime/model_providers/xinference/llm/llm.py
@@ -1,4 +1,3 @@
-import re
 from collections.abc import Generator, Iterator
 from typing import Optional, cast
 
@@ -636,16 +635,13 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
         handle stream chat generate response
         """
         full_response = ""
-        is_reasoning_started_tag = False
         for chunk in resp:
             if len(chunk.choices) == 0:
                 continue
             delta = chunk.choices[0]
             if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
                 continue
-            delta_content = delta.delta.content
-            if not delta_content:
-                delta_content = ""
+            delta_content = delta.delta.content or ""
             # check if there is a tool call in the response
             function_call = None
             tool_calls = []
@@ -658,15 +654,7 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
             if function_call:
                 assistant_message_tool_calls += [self._extract_response_function_call(function_call)]
 
-            if not is_reasoning_started_tag and "<think>" in delta_content:
-                is_reasoning_started_tag = True
-                delta_content = "> 💭 " + delta_content.replace("<think>", "")
-            elif is_reasoning_started_tag and "</think>" in delta_content:
-                delta_content = delta_content.replace("</think>", "") + "\n\n"
-                is_reasoning_started_tag = False
-            elif is_reasoning_started_tag:
-                if "\n" in delta_content:
-                    delta_content = re.sub(r"\n(?!(>|\n))", "\n> ", delta_content)
+            delta_content = self._wrap_thinking_by_tag(delta_content)
             # transform assistant message to prompt message
             assistant_prompt_message = AssistantPromptMessage(
                 content=delta_content or "", tool_calls=assistant_message_tool_calls

From f9515901ccc1012f7559df06b7fa6719438cce85 Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 14:52:57 +0800
Subject: [PATCH 146/217] fix: Azure AI Foundry model cannot be used in the
 workflow (#13323)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/core/model_runtime/entities/llm_entities.py | 4 ++--
 api/core/workflow/nodes/llm/entities.py         | 3 ++-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/api/core/model_runtime/entities/llm_entities.py b/api/core/model_runtime/entities/llm_entities.py
index 88531d8ae0..4523da4388 100644
--- a/api/core/model_runtime/entities/llm_entities.py
+++ b/api/core/model_runtime/entities/llm_entities.py
@@ -1,5 +1,5 @@
 from decimal import Decimal
-from enum import Enum
+from enum import StrEnum
 from typing import Optional
 
 from pydantic import BaseModel
@@ -8,7 +8,7 @@ from core.model_runtime.entities.message_entities import AssistantPromptMessage,
 from core.model_runtime.entities.model_entities import ModelUsage, PriceInfo
 
 
-class LLMMode(Enum):
+class LLMMode(StrEnum):
     """
     Enum class for large language model mode.
     """
diff --git a/api/core/workflow/nodes/llm/entities.py b/api/core/workflow/nodes/llm/entities.py
index 505068104c..d6fff2a793 100644
--- a/api/core/workflow/nodes/llm/entities.py
+++ b/api/core/workflow/nodes/llm/entities.py
@@ -4,6 +4,7 @@ from typing import Any, Optional
 from pydantic import BaseModel, Field, field_validator
 
 from core.model_runtime.entities import ImagePromptMessageContent
+from core.model_runtime.entities.llm_entities import LLMMode
 from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig
 from core.workflow.entities.variable_entities import VariableSelector
 from core.workflow.nodes.base import BaseNodeData
@@ -12,7 +13,7 @@ from core.workflow.nodes.base import BaseNodeData
 class ModelConfig(BaseModel):
     provider: str
     name: str
-    mode: str
+    mode: LLMMode = LLMMode.COMPLETION
     completion_params: dict[str, Any] = {}
 
 

From 413dfd56283febdedf5ebb25ce27ff07fd86363b Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 15:08:53 +0800
Subject: [PATCH 147/217] feat: add completion mode and context size options
 for LLM configuration (#13325)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/core/model_runtime/entities/__init__.py   |  3 +-
 .../azure_ai_studio/azure_ai_studio.yaml      | 34 +++++++++++++++++++
 .../azure_ai_studio/llm/llm.py                |  8 +++--
 api/core/workflow/nodes/llm/entities.py       |  5 ++-
 4 files changed, 44 insertions(+), 6 deletions(-)

diff --git a/api/core/model_runtime/entities/__init__.py b/api/core/model_runtime/entities/__init__.py
index c3e1351e3b..4746ddedcf 100644
--- a/api/core/model_runtime/entities/__init__.py
+++ b/api/core/model_runtime/entities/__init__.py
@@ -1,4 +1,4 @@
-from .llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from .llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
 from .message_entities import (
     AssistantPromptMessage,
     AudioPromptMessageContent,
@@ -23,6 +23,7 @@ __all__ = [
     "AudioPromptMessageContent",
     "DocumentPromptMessageContent",
     "ImagePromptMessageContent",
+    "LLMMode",
     "LLMResult",
     "LLMResultChunk",
     "LLMResultChunkDelta",
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml b/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
index 9e17ba0884..6d9516b671 100644
--- a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
@@ -51,6 +51,40 @@ model_credential_schema:
       show_on:
         - variable: __model_type
           value: llm
+    - variable: mode
+      show_on:
+        - variable: __model_type
+          value: llm
+      label:
+        en_US: Completion mode
+      type: select
+      required: false
+      default: chat
+      placeholder:
+        zh_Hans: 选择对话类型
+        en_US: Select completion mode
+      options:
+        - value: completion
+          label:
+            en_US: Completion
+            zh_Hans: 补全
+        - value: chat
+          label:
+            en_US: Chat
+            zh_Hans: 对话
+    - variable: context_size
+      label:
+        zh_Hans: 模型上下文长度
+        en_US: Model context size
+      required: true
+      show_on:
+        - variable: __model_type
+          value: llm
+      type: text-input
+      default: "4096"
+      placeholder:
+        zh_Hans: 在此输入您的模型上下文长度
+        en_US: Enter your Model context size
     - variable: jwt_token
       required: true
       label:
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
index 393f8494dc..97c88d0756 100644
--- a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
@@ -20,7 +20,7 @@ from azure.core.exceptions import (
 )
 
 from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
     PromptMessage,
@@ -30,6 +30,7 @@ from core.model_runtime.entities.model_entities import (
     AIModelEntity,
     FetchFrom,
     I18nObject,
+    ModelPropertyKey,
     ModelType,
     ParameterRule,
     ParameterType,
@@ -334,7 +335,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
             fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
             model_type=ModelType.LLM,
             features=[],
-            model_properties={},
+            model_properties={
+                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")),
+                ModelPropertyKey.MODE: credentials.get("mode", LLMMode.CHAT),
+            },
             parameter_rules=rules,
         )
 
diff --git a/api/core/workflow/nodes/llm/entities.py b/api/core/workflow/nodes/llm/entities.py
index d6fff2a793..bf54fdb80c 100644
--- a/api/core/workflow/nodes/llm/entities.py
+++ b/api/core/workflow/nodes/llm/entities.py
@@ -3,8 +3,7 @@ from typing import Any, Optional
 
 from pydantic import BaseModel, Field, field_validator
 
-from core.model_runtime.entities import ImagePromptMessageContent
-from core.model_runtime.entities.llm_entities import LLMMode
+from core.model_runtime.entities import ImagePromptMessageContent, LLMMode
 from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig
 from core.workflow.entities.variable_entities import VariableSelector
 from core.workflow.nodes.base import BaseNodeData
@@ -13,7 +12,7 @@ from core.workflow.nodes.base import BaseNodeData
 class ModelConfig(BaseModel):
     provider: str
     name: str
-    mode: LLMMode = LLMMode.COMPLETION
+    mode: LLMMode
     completion_params: dict[str, Any] = {}
 
 

From ca19bd31d42fb87c83b91541c473ebae85e9d14e Mon Sep 17 00:00:00 2001
From: -LAN- <laipz8200@outlook.com>
Date: Fri, 7 Feb 2025 15:20:05 +0800
Subject: [PATCH 148/217] chore(*): Bump version to 0.15.3 (#13308)

Signed-off-by: -LAN- <laipz8200@outlook.com>
---
 api/configs/packaging/__init__.py   | 2 +-
 docker-legacy/docker-compose.yaml   | 6 +++---
 docker/docker-compose-template.yaml | 6 +++---
 docker/docker-compose.yaml          | 6 +++---
 web/package.json                    | 2 +-
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py
index 20c1f58c99..fd3d6afb3a 100644
--- a/api/configs/packaging/__init__.py
+++ b/api/configs/packaging/__init__.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.2",
+        default="0.15.3",
     )
 
     COMMIT_SHA: str = Field(
diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml
index d2b6689453..0a071e80b3 100644
--- a/docker-legacy/docker-compose.yaml
+++ b/docker-legacy/docker-compose.yaml
@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       # Startup mode, 'api' starts the API server.
@@ -227,7 +227,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.2
+    image: langgenius/dify-web:0.15.3
     restart: always
     environment:
       # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index 8aafc61888..c10c4d80d8 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       # Use the shared environment variables.
@@ -25,7 +25,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       # Use the shared environment variables.
@@ -47,7 +47,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.2
+    image: langgenius/dify-web:0.15.3
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index a11ec261f3..67207fd466 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -393,7 +393,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       # Use the shared environment variables.
@@ -416,7 +416,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.2
+    image: langgenius/dify-api:0.15.3
     restart: always
     environment:
       # Use the shared environment variables.
@@ -438,7 +438,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.2
+    image: langgenius/dify-web:0.15.3
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/web/package.json b/web/package.json
index 952fac4a5f..bd98a14337 100644
--- a/web/package.json
+++ b/web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "dify-web",
-  "version": "0.15.2",
+  "version": "0.15.3",
   "private": true,
   "engines": {
     "node": ">=18.17.0"

From ae6f67420c451b7c2a11e40d46e5a39c5aeb0b74 Mon Sep 17 00:00:00 2001
From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com>
Date: Fri, 7 Feb 2025 18:56:43 +0800
Subject: [PATCH 149/217] Chore: update app detail panel (#13337)

---
 .../app/(appDetailLayout)/[appId]/layout.tsx  |   4 +-
 .../[appId]/overview/cardView.tsx             |   8 +-
 web/app/(commonLayout)/datasets/ApiServer.tsx |   2 -
 web/app/components/app-sidebar/app-info.tsx   | 476 +++++++-----------
 web/app/components/app-sidebar/basic.tsx      |   9 +-
 web/app/components/app-sidebar/index.tsx      |   2 +-
 web/app/components/app/overview/appCard.tsx   | 116 +++--
 .../components/base/content-dialog/index.tsx  |  59 +++
 .../components/base/copy-feedback/index.tsx   |   2 +-
 web/app/components/base/qrcode/index.tsx      |  12 +-
 .../develop/secret-key/secret-key-button.tsx  |  20 +-
 web/i18n/en-US/app-overview.ts                |   1 +
 web/i18n/en-US/common.ts                      |   1 +
 web/i18n/zh-Hans/app-overview.ts              |   1 +
 web/i18n/zh-Hans/common.ts                    |   1 +
 web/tailwind.config.js                        |   2 +
 web/themes/manual-dark.css                    |  11 +
 web/themes/manual-light.css                   |  11 +
 18 files changed, 368 insertions(+), 370 deletions(-)
 create mode 100644 web/app/components/base/content-dialog/index.tsx

diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
index 1d96320309..91b305dc8c 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
@@ -161,9 +161,9 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
   }
 
   return (
-    <div className={cn(s.app, 'flex', 'overflow-hidden')}>
+    <div className={cn(s.app, 'flex relative', 'overflow-hidden')}>
       {appDetail && (
-        <AppSideBar title={appDetail.name} icon={appDetail.icon} icon_background={appDetail.icon_background} desc={appDetail.mode} navigation={navigation} />
+        <AppSideBar title={appDetail.name} icon={appDetail.icon} icon_background={appDetail.icon_background as string} desc={appDetail.mode} navigation={navigation} />
       )}
       <div className="bg-components-panel-bg grow overflow-hidden">
         {children}
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx
index 8f3ee510b8..208078f612 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView.tsx
@@ -24,9 +24,11 @@ import AppContext from '@/context/app-context'
 
 export type ICardViewProps = {
   appId: string
+  isInPanel?: boolean
+  className?: string
 }
 
-const CardView: FC<ICardViewProps> = ({ appId }) => {
+const CardView: FC<ICardViewProps> = ({ appId, isInPanel, className }) => {
   const { t } = useTranslation()
   const { notify } = useContext(ToastContext)
   const appDetail = useAppStore(state => state.appDetail)
@@ -120,10 +122,11 @@ const CardView: FC<ICardViewProps> = ({ appId }) => {
     return <Loading />
 
   return (
-    <div className="grid gap-6 grid-cols-1 xl:grid-cols-2 w-full mb-6">
+    <div className={className || 'grid gap-6 grid-cols-1 xl:grid-cols-2 w-full mb-6'}>
       <AppCard
         appInfo={appDetail}
         cardType="webapp"
+        isInPanel={isInPanel}
         onChangeStatus={onChangeSiteStatus}
         onGenerateCode={onGenerateCode}
         onSaveSiteConfig={onSaveSiteConfig}
@@ -131,6 +134,7 @@ const CardView: FC<ICardViewProps> = ({ appId }) => {
       <AppCard
         cardType="api"
         appInfo={appDetail}
+        isInPanel={isInPanel}
         onChangeStatus={onChangeApiStatus}
       />
     </div>
diff --git a/web/app/(commonLayout)/datasets/ApiServer.tsx b/web/app/(commonLayout)/datasets/ApiServer.tsx
index 7baa342a62..0ed2663088 100644
--- a/web/app/(commonLayout)/datasets/ApiServer.tsx
+++ b/web/app/(commonLayout)/datasets/ApiServer.tsx
@@ -31,8 +31,6 @@ const ApiServer: FC<ApiServerProps> = ({
       </div>
       <SecretKeyButton
         className='flex-shrink-0 !h-8 bg-white'
-        textCls='!text-gray-700 font-medium'
-        iconCls='stroke-[1.2px]'
       />
     </div>
   )
diff --git a/web/app/components/app-sidebar/app-info.tsx b/web/app/components/app-sidebar/app-info.tsx
index 12f9c59cd1..57eb013be7 100644
--- a/web/app/components/app-sidebar/app-info.tsx
+++ b/web/app/components/app-sidebar/app-info.tsx
@@ -1,18 +1,18 @@
 import { useTranslation } from 'react-i18next'
 import { useRouter } from 'next/navigation'
 import { useContext, useContextSelector } from 'use-context-selector'
-import { RiArrowDownSLine } from '@remixicon/react'
 import React, { useCallback, useState } from 'react'
+import {
+  RiDeleteBinLine,
+  RiEditLine,
+  RiEqualizer2Line,
+  RiFileCopy2Line,
+  RiFileDownloadLine,
+  RiFileUploadLine,
+} from '@remixicon/react'
 import AppIcon from '../base/app-icon'
 import SwitchAppModal from '../app/switch-app-modal'
-import s from './style.module.css'
 import cn from '@/utils/classnames'
-import {
-  PortalToFollowElem,
-  PortalToFollowElemContent,
-  PortalToFollowElemTrigger,
-} from '@/app/components/base/portal-to-follow-elem'
-import Divider from '@/app/components/base/divider'
 import Confirm from '@/app/components/base/confirm'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import { ToastContext } from '@/app/components/base/toast'
@@ -22,8 +22,6 @@ import { copyApp, deleteApp, exportAppConfig, updateAppInfo } from '@/service/ap
 import DuplicateAppModal from '@/app/components/app/duplicate-modal'
 import type { DuplicateAppModalProps } from '@/app/components/app/duplicate-modal'
 import CreateAppModal from '@/app/components/explore/create-app-modal'
-import { AiText, ChatBot, CuteRobot } from '@/app/components/base/icons/src/vender/solid/communication'
-import { Route } from '@/app/components/base/icons/src/vender/solid/mapsAndTravel'
 import type { CreateAppModalProps } from '@/app/components/explore/create-app-modal'
 import { NEED_REFRESH_APP_LIST_KEY } from '@/config'
 import { getRedirection } from '@/utils/app-redirection'
@@ -31,6 +29,9 @@ import UpdateDSLModal from '@/app/components/workflow/update-dsl-modal'
 import type { EnvironmentVariable } from '@/app/components/workflow/types'
 import DSLExportConfirmModal from '@/app/components/workflow/dsl-export-confirm-modal'
 import { fetchWorkflowDraft } from '@/service/workflow'
+import ContentDialog from '@/app/components/base/content-dialog'
+import Button from '@/app/components/base/button'
+import CardView from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView'
 
 export type IAppInfoProps = {
   expand: boolean
@@ -47,7 +48,6 @@ const AppInfo = ({ expand }: IAppInfoProps) => {
   const [showEditModal, setShowEditModal] = useState(false)
   const [showDuplicateModal, setShowDuplicateModal] = useState(false)
   const [showConfirmDelete, setShowConfirmDelete] = useState(false)
-  const [showSwitchTip, setShowSwitchTip] = useState<string>('')
   const [showSwitchModal, setShowSwitchModal] = useState<boolean>(false)
   const [showImportDSLModal, setShowImportDSLModal] = useState<boolean>(false)
   const [secretEnvList, setSecretEnvList] = useState<EnvironmentVariable[]>([])
@@ -183,291 +183,199 @@ const AppInfo = ({ expand }: IAppInfoProps) => {
     return null
 
   return (
-    <PortalToFollowElem
-      open={open}
-      onOpenChange={setOpen}
-      placement='bottom-start'
-      offset={4}
-    >
-      <div className='relative'>
-        <PortalToFollowElemTrigger
-          onClick={() => {
-            if (isCurrentWorkspaceEditor)
-              setOpen(v => !v)
-          }}
-          className='block'
-        >
-          <div className={cn('flex p-1 rounded-lg', open && 'bg-gray-100', isCurrentWorkspaceEditor && 'hover:bg-gray-100 cursor-pointer')}>
-            <div className='relative shrink-0 mr-2'>
-              <AppIcon
-                size={expand ? 'large' : 'small'}
-                iconType={appDetail.icon_type}
-                icon={appDetail.icon}
-                background={appDetail.icon_background}
-                imageUrl={appDetail.icon_url}
-              />
-              <span className={cn(
-                'absolute bottom-[-3px] right-[-3px] w-4 h-4 p-0.5 bg-white rounded border-[0.5px] border-[rgba(0,0,0,0.02)] shadow-sm',
-                !expand && '!w-3.5 !h-3.5 !bottom-[-2px] !right-[-2px]',
-              )}>
-                {appDetail.mode === 'advanced-chat' && (
-                  <ChatBot className={cn('w-3 h-3 text-[#1570EF]', !expand && '!w-2.5 !h-2.5')} />
-                )}
-                {appDetail.mode === 'agent-chat' && (
-                  <CuteRobot className={cn('w-3 h-3 text-indigo-600', !expand && '!w-2.5 !h-2.5')} />
-                )}
-                {appDetail.mode === 'chat' && (
-                  <ChatBot className={cn('w-3 h-3 text-[#1570EF]', !expand && '!w-2.5 !h-2.5')} />
-                )}
-                {appDetail.mode === 'completion' && (
-                  <AiText className={cn('w-3 h-3 text-[#0E9384]', !expand && '!w-2.5 !h-2.5')} />
-                )}
-                {appDetail.mode === 'workflow' && (
-                  <Route className={cn('w-3 h-3 text-[#f79009]', !expand && '!w-2.5 !h-2.5')} />
-                )}
-              </span>
-            </div>
-            {expand && (
-              <div className="grow w-0">
-                <div className='flex justify-between items-center text-sm leading-5 font-medium text-text-secondary'>
-                  <div className='truncate' title={appDetail.name}>{appDetail.name}</div>
-                  {isCurrentWorkspaceEditor && <RiArrowDownSLine className='shrink-0 ml-[2px] w-3 h-3 text-gray-500' />}
-                </div>
-                <div className='flex items-center text-[10px] leading-[18px] font-medium text-gray-500 gap-1'>
-                  {appDetail.mode === 'advanced-chat' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
-                      <div title={t('app.types.advanced') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.advanced').toUpperCase()}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'agent-chat' && (
-                    <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.agent').toUpperCase()}</div>
-                  )}
-                  {appDetail.mode === 'chat' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
-                      <div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'completion' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.completion').toUpperCase()}</div>
-                      <div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'workflow' && (
-                    <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.workflow').toUpperCase()}</div>
-                  )}
-                </div>
+    <div>
+      <button
+        onClick={() => {
+          if (isCurrentWorkspaceEditor)
+            setOpen(v => !v)
+        }}
+        className='block w-full'
+      >
+        <div className={cn('flex rounded-lg', expand ? 'p-2 pb-2.5 flex-col gap-2' : 'p-1 gap-1 justify-center items-start', open && 'bg-state-base-hover', isCurrentWorkspaceEditor && 'hover:bg-state-base-hover cursor-pointer')}>
+          <div className={`flex items-center self-stretch ${expand ? 'justify-between' : 'flex-col gap-1'}`}>
+            <AppIcon
+              size={expand ? 'large' : 'small'}
+              iconType={appDetail.icon_type}
+              icon={appDetail.icon}
+              background={appDetail.icon_background}
+              imageUrl={appDetail.icon_url}
+            />
+            <div className='flex p-0.5 justify-center items-center rounded-md'>
+              <div className='flex w-5 h-5 justify-center items-center'>
+                <RiEqualizer2Line className='w-4 h-4 text-text-tertiary' />
               </div>
-            )}
+            </div>
           </div>
-        </PortalToFollowElemTrigger>
-        <PortalToFollowElemContent className='z-[1002]'>
-          <div className='relative w-[320px] bg-white rounded-2xl shadow-xl'>
-            {/* header */}
-            <div className={cn('flex pl-4 pt-3 pr-3', !appDetail.description && 'pb-2')}>
-              <div className='relative shrink-0 mr-2'>
-                <AppIcon
-                  size="large"
-                  iconType={appDetail.icon_type}
-                  icon={appDetail.icon}
-                  background={appDetail.icon_background}
-                  imageUrl={appDetail.icon_url}
-                />
-                <span className='absolute bottom-[-3px] right-[-3px] w-4 h-4 p-0.5 bg-white rounded border-[0.5px] border-[rgba(0,0,0,0.02)] shadow-sm'>
-                  {appDetail.mode === 'advanced-chat' && (
-                    <ChatBot className='w-3 h-3 text-[#1570EF]' />
-                  )}
-                  {appDetail.mode === 'agent-chat' && (
-                    <CuteRobot className='w-3 h-3 text-indigo-600' />
-                  )}
-                  {appDetail.mode === 'chat' && (
-                    <ChatBot className='w-3 h-3 text-[#1570EF]' />
-                  )}
-                  {appDetail.mode === 'completion' && (
-                    <AiText className='w-3 h-3 text-[#0E9384]' />
-                  )}
-                  {appDetail.mode === 'workflow' && (
-                    <Route className='w-3 h-3 text-[#f79009]' />
-                  )}
-                </span>
-              </div>
-              <div className='grow w-0'>
-                <div title={appDetail.name} className='flex justify-between items-center text-sm leading-5 font-medium text-gray-900 truncate'>{appDetail.name}</div>
-                <div className='flex items-center text-[10px] leading-[18px] font-medium text-gray-500 gap-1'>
-                  {appDetail.mode === 'advanced-chat' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
-                      <div title={t('app.types.advanced') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.advanced').toUpperCase()}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'agent-chat' && (
-                    <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.agent').toUpperCase()}</div>
-                  )}
-                  {appDetail.mode === 'chat' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
-                      <div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'completion' && (
-                    <>
-                      <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.completion').toUpperCase()}</div>
-                      <div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
-                    </>
-                  )}
-                  {appDetail.mode === 'workflow' && (
-                    <div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.workflow').toUpperCase()}</div>
-                  )}
+          {
+            expand && (
+              <div className='flex flex-col items-start gap-1'>
+                <div className='flex w-full'>
+                  <div className='text-text-secondary system-md-semibold truncate'>{appDetail.name}</div>
                 </div>
+                <div className='text-text-tertiary system-2xs-medium-uppercase'>{appDetail.mode === 'advanced-chat' ? t('app.types.chatbot') : appDetail.mode === 'agent-chat' ? t('app.types.agent') : appDetail.mode === 'chat' ? t('app.types.chatbot') : appDetail.mode === 'completion' ? t('app.types.completion') : t('app.types.workflow')}</div>
               </div>
+            )
+          }
+        </div>
+      </button>
+      <ContentDialog
+        show={open}
+        onClose={() => setOpen(false)}
+        className='!p-0 flex flex-col absolute left-2 top-2 bottom-2 w-[420px] rounded-2xl'
+      >
+        <div className='flex p-4 flex-col justify-center items-start gap-3 self-stretch shrink-0'>
+          <div className='flex items-center gap-3 self-stretch'>
+            <AppIcon
+              size="large"
+              iconType={appDetail.icon_type}
+              icon={appDetail.icon}
+              background={appDetail.icon_background}
+              imageUrl={appDetail.icon_url}
+            />
+            <div className='flex flex-col justify-center items-start grow w-full'>
+              <div className='text-text-secondary system-md-semibold truncate w-full'>{appDetail.name}</div>
+              <div className='text-text-tertiary system-2xs-medium-uppercase'>{appDetail.mode === 'advanced-chat' ? t('app.types.chatbot') : appDetail.mode === 'agent-chat' ? t('app.types.agent') : appDetail.mode === 'chat' ? t('app.types.chatbot') : appDetail.mode === 'completion' ? t('app.types.completion') : t('app.types.workflow')}</div>
             </div>
-            {/* description */}
-            {appDetail.description && (
-              <div className='px-4 py-2 text-gray-500 text-xs leading-[18px]'>{appDetail.description}</div>
-            )}
-            {/* operations */}
-            <Divider className="!my-1" />
-            <div className="w-full py-1">
-              <div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={() => {
+          </div>
+          {/* description */}
+          {appDetail.description && (
+            <div className='text-text-tertiary system-xs-regular'>{appDetail.description}</div>
+          )}
+          {/* operations */}
+          <div className='flex items-center gap-1 self-stretch'>
+            <Button
+              size={'small'}
+              variant={'secondary'}
+              className='gap-[1px]'
+              onClick={() => {
                 setOpen(false)
                 setShowEditModal(true)
-              }}>
-                <span className='text-gray-700 text-sm leading-5'>{t('app.editApp')}</span>
-              </div>
-              <div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={() => {
+              }}
+            >
+              <RiEditLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
+              <span className='text-components-button-secondary-text system-xs-medium'>{t('app.editApp')}</span>
+            </Button>
+            <Button
+              size={'small'}
+              variant={'secondary'}
+              className='gap-[1px]'
+              onClick={() => {
                 setOpen(false)
                 setShowDuplicateModal(true)
-              }}>
-                <span className='text-gray-700 text-sm leading-5'>{t('app.duplicate')}</span>
-              </div>
-              {(appDetail.mode === 'completion' || appDetail.mode === 'chat') && (
-                <>
-                  <Divider className="!my-1" />
-                  <div
-                    className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer'
-                    onMouseEnter={() => setShowSwitchTip(appDetail.mode)}
-                    onMouseLeave={() => setShowSwitchTip('')}
-                    onClick={() => {
-                      setOpen(false)
-                      setShowSwitchModal(true)
-                    }}
-                  >
-                    <span className='text-gray-700 text-sm leading-5'>{t('app.switch')}</span>
-                  </div>
-                </>
-              )}
-              <Divider className="!my-1" />
-              <div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={exportCheck}>
-                <span className='text-gray-700 text-sm leading-5'>{t('app.export')}</span>
-              </div>
-              {
-                (appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (
-                  <div
-                    className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer'
-                    onClick={() => {
-                      setOpen(false)
-                      setShowImportDSLModal(true)
-                    }}>
-                    <span className='text-gray-700 text-sm leading-5'>{t('workflow.common.importDSL')}</span>
-                  </div>
-                )
-              }
-              <Divider className="!my-1" />
-              <div className='group h-9 py-2 px-3 mx-1 flex items-center hover:bg-red-50 rounded-lg cursor-pointer' onClick={() => {
-                setOpen(false)
-                setShowConfirmDelete(true)
-              }}>
-                <span className='text-gray-700 text-sm leading-5 group-hover:text-red-500'>
-                  {t('common.operation.delete')}
-                </span>
-              </div>
-            </div>
-            {/* switch tip */}
-            <div
-              className={cn(
-                'hidden absolute left-[324px] top-0 w-[376px] rounded-xl bg-white border-[0.5px] border-[rgba(0,0,0,0.05)] shadow-lg',
-                showSwitchTip && '!block',
-              )}
+              }}
             >
-              <div className={cn(
-                'w-full h-[256px] bg-center bg-no-repeat bg-contain rounded-xl',
-                showSwitchTip === 'chat' && s.expertPic,
-                showSwitchTip === 'completion' && s.completionPic,
-              )} />
-              <div className='px-4 pb-2'>
-                <div className='flex items-center gap-1 text-gray-700 text-md leading-6 font-semibold'>
-                  {showSwitchTip === 'chat' ? t('app.types.advanced') : t('app.types.workflow')}
-                  <span className='px-1 rounded-[5px] bg-white border border-black/8 text-gray-500 text-[10px] leading-[18px] font-medium'>BETA</span>
-                </div>
-                <div className='text-orange-500 text-xs leading-[18px] font-medium'>{t('app.newApp.advancedFor').toLocaleUpperCase()}</div>
-                <div className='mt-1 text-gray-500 text-sm leading-5'>{t('app.newApp.advancedDescription')}</div>
-              </div>
-            </div>
+              <RiFileCopy2Line className='w-3.5 h-3.5 text-components-button-secondary-text' />
+              <span className='text-components-button-secondary-text system-xs-medium'>{t('app.duplicate')}</span>
+            </Button>
+            <Button
+              size={'small'}
+              variant={'secondary'}
+              className='gap-[1px]'
+              onClick={exportCheck}
+            >
+              <RiFileDownloadLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
+              <span className='text-components-button-secondary-text system-xs-medium'>{t('app.export')}</span>
+            </Button>
+            {
+              (appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (
+                <Button
+                  size={'small'}
+                  variant={'secondary'}
+                  className='gap-[1px]'
+                  onClick={() => {
+                    setOpen(false)
+                    setShowImportDSLModal(true)
+                  }}
+                >
+                  <RiFileUploadLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
+                  <span className='text-components-button-secondary-text system-xs-medium'>{t('workflow.common.importDSL')}</span>
+                </Button>
+              )
+            }
           </div>
-        </PortalToFollowElemContent>
-        {showSwitchModal && (
-          <SwitchAppModal
-            inAppDetail
-            show={showSwitchModal}
-            appDetail={appDetail}
-            onClose={() => setShowSwitchModal(false)}
-            onSuccess={() => setShowSwitchModal(false)}
+        </div>
+        <div className='flex flex-1'>
+          <CardView
+            appId={appDetail.id}
+            isInPanel={true}
+            className='flex flex-col px-2 py-1 gap-2 grow overflow-auto'
           />
-        )}
-        {showEditModal && (
-          <CreateAppModal
-            isEditModal
-            appName={appDetail.name}
-            appIconType={appDetail.icon_type}
-            appIcon={appDetail.icon}
-            appIconBackground={appDetail.icon_background}
-            appIconUrl={appDetail.icon_url}
-            appDescription={appDetail.description}
-            appMode={appDetail.mode}
-            appUseIconAsAnswerIcon={appDetail.use_icon_as_answer_icon}
-            show={showEditModal}
-            onConfirm={onEdit}
-            onHide={() => setShowEditModal(false)}
-          />
-        )}
-        {showDuplicateModal && (
-          <DuplicateAppModal
-            appName={appDetail.name}
-            icon_type={appDetail.icon_type}
-            icon={appDetail.icon}
-            icon_background={appDetail.icon_background}
-            icon_url={appDetail.icon_url}
-            show={showDuplicateModal}
-            onConfirm={onCopy}
-            onHide={() => setShowDuplicateModal(false)}
-          />
-        )}
-        {showConfirmDelete && (
-          <Confirm
-            title={t('app.deleteAppConfirmTitle')}
-            content={t('app.deleteAppConfirmContent')}
-            isShow={showConfirmDelete}
-            onConfirm={onConfirmDelete}
-            onCancel={() => setShowConfirmDelete(false)}
-          />
-        )}
-        {showImportDSLModal && (
-          <UpdateDSLModal
-            onCancel={() => setShowImportDSLModal(false)}
-            onBackup={exportCheck}
-          />
-        )}
-        {secretEnvList.length > 0 && (
-          <DSLExportConfirmModal
-            envList={secretEnvList}
-            onConfirm={onExport}
-            onClose={() => setSecretEnvList([])}
-          />
-        )}
-      </div>
-    </PortalToFollowElem>
+        </div>
+        <div className='flex p-2 flex-col justify-center items-start gap-3 self-stretch border-t-[0.5px] border-divider-subtle shrink-0 min-h-fit'>
+          <Button
+            size={'medium'}
+            variant={'ghost'}
+            className='gap-0.5'
+            onClick={() => {
+              setOpen(false)
+              setShowConfirmDelete(true)
+            }}
+          >
+            <RiDeleteBinLine className='w-4 h-4 text-text-tertiary' />
+            <span className='text-text-tertiary system-sm-medium'>{t('common.operation.deleteApp')}</span>
+          </Button>
+        </div>
+      </ContentDialog>
+      {showSwitchModal && (
+        <SwitchAppModal
+          inAppDetail
+          show={showSwitchModal}
+          appDetail={appDetail}
+          onClose={() => setShowSwitchModal(false)}
+          onSuccess={() => setShowSwitchModal(false)}
+        />
+      )}
+      {showEditModal && (
+        <CreateAppModal
+          isEditModal
+          appName={appDetail.name}
+          appIconType={appDetail.icon_type}
+          appIcon={appDetail.icon}
+          appIconBackground={appDetail.icon_background}
+          appIconUrl={appDetail.icon_url}
+          appDescription={appDetail.description}
+          appMode={appDetail.mode}
+          appUseIconAsAnswerIcon={appDetail.use_icon_as_answer_icon}
+          show={showEditModal}
+          onConfirm={onEdit}
+          onHide={() => setShowEditModal(false)}
+        />
+      )}
+      {showDuplicateModal && (
+        <DuplicateAppModal
+          appName={appDetail.name}
+          icon_type={appDetail.icon_type}
+          icon={appDetail.icon}
+          icon_background={appDetail.icon_background}
+          icon_url={appDetail.icon_url}
+          show={showDuplicateModal}
+          onConfirm={onCopy}
+          onHide={() => setShowDuplicateModal(false)}
+        />
+      )}
+      {showConfirmDelete && (
+        <Confirm
+          title={t('app.deleteAppConfirmTitle')}
+          content={t('app.deleteAppConfirmContent')}
+          isShow={showConfirmDelete}
+          onConfirm={onConfirmDelete}
+          onCancel={() => setShowConfirmDelete(false)}
+        />
+      )}
+      {showImportDSLModal && (
+        <UpdateDSLModal
+          onCancel={() => setShowImportDSLModal(false)}
+          onBackup={exportCheck}
+        />
+      )}
+      {secretEnvList.length > 0 && (
+        <DSLExportConfirmModal
+          envList={secretEnvList}
+          onConfirm={onExport}
+          onClose={() => setSecretEnvList([])}
+        />
+      )}
+    </div>
   )
 }
 
diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx
index 51fc10721e..6600920ba7 100644
--- a/web/app/components/app-sidebar/basic.tsx
+++ b/web/app/components/app-sidebar/basic.tsx
@@ -58,7 +58,7 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
   const { t } = useTranslation()
 
   return (
-    <div className="flex items-start p-1">
+    <div className="flex items-center grow">
       {icon && icon_background && iconType === 'app' && (
         <div className='flex-shrink-0 mr-3'>
           <AppIcon icon={icon} background={icon_background} />
@@ -71,8 +71,10 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
 
       }
       {mode === 'expand' && <div className="group">
-        <div className={`flex flex-row items-center text-sm font-semibold text-gray-700 group-hover:text-gray-900 break-all ${textStyle?.main ?? ''}`}>
-          {name}
+        <div className={`flex flex-row items-center system-md-semibold text-text-secondary group-hover:text-text-primary ${textStyle?.main ?? ''}`}>
+          <div className="max-w-[180px] truncate">
+            {name}
+          </div>
           {hoverTip
             && <Tooltip
               popupContent={
@@ -86,7 +88,6 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
             />
           }
         </div>
-        <div className={`text-xs font-normal text-gray-500 group-hover:text-gray-700 break-all ${textStyle?.extra ?? ''}`}>{type}</div>
         <div className='text-text-tertiary system-2xs-medium-uppercase'>{isExternal ? t('dataset.externalTag') : ''}</div>
       </div>}
     </div>
diff --git a/web/app/components/app-sidebar/index.tsx b/web/app/components/app-sidebar/index.tsx
index 61e4bf8330..dec8499eb5 100644
--- a/web/app/components/app-sidebar/index.tsx
+++ b/web/app/components/app-sidebar/index.tsx
@@ -57,7 +57,7 @@ const AppDetailNav = ({ title, desc, isExternal, icon, icon_background, navigati
       <div
         className={`
           shrink-0
-          ${expand ? 'p-3' : 'p-2'}
+          ${expand ? 'p-2' : 'p-1'}
         `}
       >
         {iconType === 'app' && (
diff --git a/web/app/components/app/overview/appCard.tsx b/web/app/components/app/overview/appCard.tsx
index f9f5c1fbff..72b9671f2d 100644
--- a/web/app/components/app/overview/appCard.tsx
+++ b/web/app/components/app/overview/appCard.tsx
@@ -1,14 +1,14 @@
 'use client'
-import type { HTMLProps } from 'react'
 import React, { useMemo, useState } from 'react'
-import {
-  Cog8ToothIcon,
-  DocumentTextIcon,
-  PaintBrushIcon,
-  RocketLaunchIcon,
-} from '@heroicons/react/24/outline'
 import { usePathname, useRouter } from 'next/navigation'
 import { useTranslation } from 'react-i18next'
+import {
+  RiBookOpenLine,
+  RiEqualizer2Line,
+  RiExternalLinkLine,
+  RiPaintBrushLine,
+  RiWindowLine,
+} from '@remixicon/react'
 import SettingsModal from './settings'
 import EmbeddedModal from './embedded'
 import CustomizeModal from './customize'
@@ -18,7 +18,6 @@ import Tooltip from '@/app/components/base/tooltip'
 import AppBasic from '@/app/components/app-sidebar/basic'
 import { asyncRunSafe, randomString } from '@/utils'
 import Button from '@/app/components/base/button'
-import Tag from '@/app/components/base/tag'
 import Switch from '@/app/components/base/switch'
 import Divider from '@/app/components/base/divider'
 import CopyFeedback from '@/app/components/base/copy-feedback'
@@ -28,10 +27,12 @@ import SecretKeyButton from '@/app/components/develop/secret-key/secret-key-butt
 import type { AppDetailResponse } from '@/models/app'
 import { useAppContext } from '@/context/app-context'
 import type { AppSSO } from '@/types/app'
+import Indicator from '@/app/components/header/indicator'
 
 export type IAppCardProps = {
   className?: string
   appInfo: AppDetailResponse & Partial<AppSSO>
+  isInPanel?: boolean
   cardType?: 'api' | 'webapp'
   customBgColor?: string
   onChangeStatus: (val: boolean) => Promise<void>
@@ -39,12 +40,9 @@ export type IAppCardProps = {
   onGenerateCode?: () => Promise<void>
 }
 
-const EmbedIcon = ({ className = '' }: HTMLProps<HTMLDivElement>) => {
-  return <div className={`${style.codeBrowserIcon} ${className}`}></div>
-}
-
 function AppCard({
   appInfo,
+  isInPanel,
   cardType = 'webapp',
   customBgColor,
   onChangeStatus,
@@ -66,17 +64,18 @@ function AppCard({
   const OPERATIONS_MAP = useMemo(() => {
     const operationsMap = {
       webapp: [
-        { opName: t('appOverview.overview.appInfo.preview'), opIcon: RocketLaunchIcon },
-        { opName: t('appOverview.overview.appInfo.customize.entry'), opIcon: PaintBrushIcon },
+        { opName: t('appOverview.overview.appInfo.launch'), opIcon: RiExternalLinkLine },
       ] as { opName: string; opIcon: any }[],
-      api: [{ opName: t('appOverview.overview.apiInfo.doc'), opIcon: DocumentTextIcon }],
+      api: [{ opName: t('appOverview.overview.apiInfo.doc'), opIcon: RiBookOpenLine }],
       app: [],
     }
     if (appInfo.mode !== 'completion' && appInfo.mode !== 'workflow')
-      operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.embedded.entry'), opIcon: EmbedIcon })
+      operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.embedded.entry'), opIcon: RiWindowLine })
+
+    operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.customize.entry'), opIcon: RiPaintBrushLine })
 
     if (isCurrentWorkspaceEditor)
-      operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.settings.entry'), opIcon: Cog8ToothIcon })
+      operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.settings.entry'), opIcon: RiEqualizer2Line })
 
     return operationsMap
   }, [isCurrentWorkspaceEditor, appInfo, t])
@@ -92,13 +91,9 @@ function AppCard({
   const appUrl = `${app_base_url}/${appMode}/${access_token}`
   const apiUrl = appInfo?.api_base_url
 
-  let bgColor = 'bg-primary-50 bg-opacity-40'
-  if (cardType === 'api')
-    bgColor = 'bg-purple-50'
-
   const genClickFuncByName = (opName: string) => {
     switch (opName) {
-      case t('appOverview.overview.appInfo.preview'):
+      case t('appOverview.overview.appInfo.launch'):
         return () => {
           window.open(appUrl, '_blank')
         }
@@ -135,49 +130,50 @@ function AppCard({
   return (
     <div
       className={
-        `shadow-xs border-[0.5px] rounded-lg border-gray-200 ${className ?? ''}`}
+        `${isInPanel ? 'border-l-[0.5px] border-t' : 'shadow-xs border-[0.5px]'} rounded-xl border-effects-highlight w-full max-w-full ${className ?? ''}`}
     >
-      <div className={`px-6 py-5 ${customBgColor ?? bgColor} rounded-lg`}>
-        <div className="mb-2.5 flex flex-row items-start justify-between">
-          <AppBasic
-            iconType={cardType}
-            icon={appInfo.icon}
-            icon_background={appInfo.icon_background}
-            name={basicName}
-            type={
-              isApp
-                ? t('appOverview.overview.appInfo.explanation')
-                : t('appOverview.overview.apiInfo.explanation')
-            }
-          />
-          <div className="flex flex-row items-center h-9">
-            <Tag className="mr-2" color={runningStatus ? 'green' : 'yellow'}>
-              {runningStatus
-                ? t('appOverview.overview.status.running')
-                : t('appOverview.overview.status.disable')}
-            </Tag>
+      <div className={`${customBgColor ?? 'bg-background-default'} rounded-xl`}>
+        <div className='flex flex-col p-3 justify-center items-start gap-3 self-stretch border-b-[0.5px] border-divider-subtle w-full'>
+          <div className='flex items-center gap-3 self-stretch w-full'>
+            <AppBasic
+              iconType={cardType}
+              icon={appInfo.icon}
+              icon_background={appInfo.icon_background}
+              name={basicName}
+              type={
+                isApp
+                  ? t('appOverview.overview.appInfo.explanation')
+                  : t('appOverview.overview.apiInfo.explanation')
+              }
+            />
+            <div className='flex items-center gap-1'>
+              <Indicator color={runningStatus ? 'green' : 'yellow'} />
+              <div className={`${runningStatus ? 'text-text-success' : 'text-text-warning'} system-xs-semibold-uppercase`}>
+                {runningStatus
+                  ? t('appOverview.overview.status.running')
+                  : t('appOverview.overview.status.disable')}
+              </div>
+            </div>
             <Switch defaultValue={runningStatus} onChange={onChangeStatus} disabled={toggleDisabled} />
           </div>
-        </div>
-        <div className="flex flex-col justify-center py-2">
-          <div className="py-1">
-            <div className="pb-1 text-xs text-gray-500">
+          <div className='flex flex-col justify-center items-start self-stretch'>
+            <div className="pb-1 system-xs-medium text-text-tertiary">
               {isApp
                 ? t('appOverview.overview.appInfo.accessibleAddress')
                 : t('appOverview.overview.apiInfo.accessibleAddress')}
             </div>
-            <div className="w-full h-9 pl-2 pr-0.5 py-0.5 bg-black bg-opacity-2 rounded-lg border border-black border-opacity-5 justify-start items-center inline-flex">
-              <div className="h-4 px-2 justify-start items-start gap-2 flex flex-1 min-w-0">
-                <div className="text-gray-700 text-xs font-medium text-ellipsis overflow-hidden whitespace-nowrap">
+            <div className="w-full h-9 pl-2 p-1 bg-components-input-bg-normal rounded-lg items-center inline-flex gap-0.5">
+              <div className="h-4 px-1 justify-start items-start gap-2 flex flex-1 min-w-0">
+                <div className="text-text-secondary text-xs font-medium text-ellipsis overflow-hidden whitespace-nowrap">
                   {isApp ? appUrl : apiUrl}
                 </div>
               </div>
-              <Divider type="vertical" className="!h-3.5 shrink-0 !mx-0.5" />
-              {isApp && <ShareQRCode content={isApp ? appUrl : apiUrl} selectorId={randomString(8)} className={'hover:bg-gray-200'} />}
               <CopyFeedback
                 content={isApp ? appUrl : apiUrl}
-                className={'hover:bg-gray-200'}
+                className={'!size-6'}
               />
+              {isApp && <ShareQRCode content={isApp ? appUrl : apiUrl} className='z-50 !size-6 hover:bg-state-base-hover rounded-md' selectorId={randomString(8)} />}
+              {isApp && <Divider type="vertical" className="!h-3.5 shrink-0 !mx-0.5" />}
               {/* button copy link/ button regenerate */}
               {showConfirmDelete && (
                 <Confirm
@@ -197,7 +193,7 @@ function AppCard({
                   popupContent={t('appOverview.overview.appInfo.regenerate') || ''}
                 >
                   <div
-                    className="w-8 h-8 ml-0.5 cursor-pointer hover:bg-gray-200 rounded-lg"
+                    className="w-6 h-6 cursor-pointer hover:bg-state-base-hover rounded-md"
                     onClick={() => setShowConfirmDelete(true)}
                   >
                     <div
@@ -210,8 +206,8 @@ function AppCard({
             </div>
           </div>
         </div>
-        <div className={'pt-2 flex flex-row items-center flex-wrap gap-y-2'}>
-          {!isApp && <SecretKeyButton className='flex-shrink-0 !h-8 bg-white mr-2' textCls='!text-gray-700 font-medium' iconCls='stroke-[1.2px]' appId={appInfo.id} />}
+        <div className={'flex p-3 items-center gap-1 self-stretch'}>
+          {!isApp && <SecretKeyButton appId={appInfo.id} />}
           {OPERATIONS_MAP[cardType].map((op) => {
             const disabled
               = op.opName === t('appOverview.overview.appInfo.settings.entry')
@@ -219,7 +215,9 @@ function AppCard({
                 : !runningStatus
             return (
               <Button
-                className="mr-2"
+                className="mr-1 min-w-[88px]"
+                size="small"
+                variant={'ghost'}
                 key={op.opName}
                 onClick={genClickFuncByName(op.opName)}
                 disabled={disabled}
@@ -230,9 +228,9 @@ function AppCard({
                   }
                   popupClassName={disabled ? 'mt-[-8px]' : '!hidden'}
                 >
-                  <div className="flex flex-row items-center">
-                    <op.opIcon className="h-4 w-4 mr-1.5 stroke-[1.8px]" />
-                    <span className="text-[13px]">{op.opName}</span>
+                  <div className="flex items-center justify-center gap-[1px]">
+                    <op.opIcon className="h-3.5 w-3.5" />
+                    <div className={`${runningStatus ? 'text-text-tertiary' : 'text-components-button-ghost-text-disabled'} system-xs-medium px-[3px]`}>{op.opName}</div>
                   </div>
                 </Tooltip>
               </Button>
diff --git a/web/app/components/base/content-dialog/index.tsx b/web/app/components/base/content-dialog/index.tsx
new file mode 100644
index 0000000000..9e6726b1f6
--- /dev/null
+++ b/web/app/components/base/content-dialog/index.tsx
@@ -0,0 +1,59 @@
+import { Fragment, type ReactNode } from 'react'
+import { Transition } from '@headlessui/react'
+import classNames from '@/utils/classnames'
+
+type ContentDialogProps = {
+  className?: string
+  show: boolean
+  onClose?: () => void
+  children: ReactNode
+}
+
+const ContentDialog = ({
+  className,
+  show,
+  onClose,
+  children,
+}: ContentDialogProps) => {
+  return (
+    <Transition
+      show={show}
+      as="div"
+      className="absolute left-0 top-0 w-full h-full z-20 p-2 box-border"
+    >
+      <Transition.Child
+        as={Fragment}
+        enter="ease-out duration-300"
+        enterFrom="opacity-0"
+        enterTo="opacity-100"
+        leave="ease-in duration-200"
+        leaveFrom="opacity-100"
+        leaveTo="opacity-0"
+      >
+        <div
+          className="absolute left-0 inset-0 w-full bg-app-detail-overlay-bg"
+          onClick={onClose}
+        />
+      </Transition.Child>
+
+      <Transition.Child
+        as={Fragment}
+        enter="transform transition ease-out duration-300"
+        enterFrom="-translate-x-full"
+        enterTo="translate-x-0"
+        leave="transform transition ease-in duration-200"
+        leaveFrom="translate-x-0"
+        leaveTo="-translate-x-full"
+      >
+        <div className={classNames(
+          'absolute left-0 w-full bg-app-detail-bg border-r border-divider-burn',
+          className,
+        )}>
+          {children}
+        </div>
+      </Transition.Child>
+    </Transition>
+  )
+}
+
+export default ContentDialog
diff --git a/web/app/components/base/copy-feedback/index.tsx b/web/app/components/base/copy-feedback/index.tsx
index ead1eb1d18..ec6b6ddb31 100644
--- a/web/app/components/base/copy-feedback/index.tsx
+++ b/web/app/components/base/copy-feedback/index.tsx
@@ -35,7 +35,7 @@ const CopyFeedback = ({ content, className }: Props) => {
       }
     >
       <div
-        className={`w-8 h-8 cursor-pointer hover:bg-gray-100 rounded-lg ${
+        className={`w-8 h-8 cursor-pointer hover:bg-state-base-hover rounded-md ${
           className ?? ''
         }`}
       >
diff --git a/web/app/components/base/qrcode/index.tsx b/web/app/components/base/qrcode/index.tsx
index c9323992e9..75d4831db7 100644
--- a/web/app/components/base/qrcode/index.tsx
+++ b/web/app/components/base/qrcode/index.tsx
@@ -1,7 +1,7 @@
 'use client'
 import React, { useEffect, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import QRCode from 'qrcode.react'
+import { QRCodeSVG } from 'qrcode.react'
 import QrcodeStyle from './style.module.css'
 import Tooltip from '@/app/components/base/tooltip'
 
@@ -54,20 +54,20 @@ const ShareQRCode = ({ content, selectorId, className }: Props) => {
       popupContent={t(`${prefixEmbedded}`) || ''}
     >
       <div
-        className={`w-8 h-8 cursor-pointer rounded-lg ${className ?? ''}`}
+        className={`w-8 h-8 cursor-pointer rounded-lg relative ${className ?? ''}`}
         onClick={toggleQRCode}
       >
         <div className={`w-full h-full ${QrcodeStyle.QrcodeIcon} ${isShow ? QrcodeStyle.show : ''}`} />
         {isShow && (
           <div
             ref={qrCodeRef}
-            className={QrcodeStyle.qrcodeform}
+            className={`${QrcodeStyle.qrcodeform} !absolute right-0 top-0`}
             onClick={handlePanelClick}
           >
-            <QRCode size={160} value={content} className={QrcodeStyle.qrcodeimage}/>
+            <QRCodeSVG size={160} value={content} className={QrcodeStyle.qrcodeimage}/>
             <div className={QrcodeStyle.text}>
-              <div className={`text-gray-500 ${QrcodeStyle.scan}`}>{t('appOverview.overview.appInfo.qrcode.scan')}</div>
-              <div className={`text-gray-500 ${QrcodeStyle.scan}`}>·</div>
+              <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>{t('appOverview.overview.appInfo.qrcode.scan')}</div>
+              <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>·</div>
               <div className={QrcodeStyle.download} onClick={downloadQR}>{t('appOverview.overview.appInfo.qrcode.download')}</div>
             </div>
           </div>
diff --git a/web/app/components/develop/secret-key/secret-key-button.tsx b/web/app/components/develop/secret-key/secret-key-button.tsx
index dab319bab4..e1845330ae 100644
--- a/web/app/components/develop/secret-key/secret-key-button.tsx
+++ b/web/app/components/develop/secret-key/secret-key-button.tsx
@@ -1,29 +1,31 @@
 'use client'
 import { useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import { RiKey2Line } from '@remixicon/react'
 import Button from '@/app/components/base/button'
 import SecretKeyModal from '@/app/components/develop/secret-key/secret-key-modal'
-// import { KeyIcon } from '@heroicons/react/20/solid'
 
 type ISecretKeyButtonProps = {
   className?: string
   appId?: string
-  iconCls?: string
   textCls?: string
 }
 
-const SecretKeyButton = ({ className, appId, iconCls, textCls }: ISecretKeyButtonProps) => {
+const SecretKeyButton = ({ className, appId, textCls }: ISecretKeyButtonProps) => {
   const [isVisible, setVisible] = useState(false)
   const { t } = useTranslation()
   return (
     <>
-      <Button className={`px-3 ${className}`} onClick={() => setVisible(true)}>
-        <div className={'flex items-center justify-center w-4 h-4 mr-2'}>
-          <svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg" className={iconCls}>
-            <path d="M9 3.66672C9.35362 3.66672 9.69276 3.80719 9.94281 4.05724C10.1929 4.30729 10.3333 4.64643 10.3333 5.00005M13 5.00005C13.0002 5.62483 12.854 6.24097 12.5732 6.79908C12.2924 7.3572 11.8847 7.84177 11.3829 8.21397C10.8811 8.58617 10.2991 8.83564 9.68347 8.94239C9.06788 9.04915 8.43584 9.01022 7.838 8.82872L6.33333 10.3334H5V11.6667H3.66667V13.0001H1.66667C1.48986 13.0001 1.32029 12.9298 1.19526 12.8048C1.07024 12.6798 1 12.5102 1 12.3334V10.6094C1.00004 10.4326 1.0703 10.263 1.19533 10.1381L5.17133 6.16205C5.00497 5.61206 4.95904 5.03268 5.0367 4.46335C5.11435 3.89402 5.31375 3.3481 5.62133 2.86275C5.92891 2.3774 6.33744 1.96401 6.81913 1.65073C7.30082 1.33745 7.84434 1.13162 8.41272 1.04725C8.9811 0.96289 9.56098 1.00197 10.1129 1.16184C10.6648 1.32171 11.1758 1.59861 11.6111 1.97369C12.0464 2.34878 12.3958 2.81324 12.6354 3.33548C12.8751 3.85771 12.9994 4.42545 13 5.00005Z" stroke="#1F2A37" strokeLinecap="round" strokeLinejoin="round" />
-          </svg>
+      <Button
+        className={`px-3 ${className}`}
+        onClick={() => setVisible(true)}
+        size='small'
+        variant='ghost'
+      >
+        <div className={'flex items-center justify-center w-3.5 h-3.5'}>
+          <RiKey2Line className='w-3.5 h-3.5 text-text-tertiary' />
         </div>
-        <div className={`text-[13px] text-gray-800 ${textCls}`}>{t('appApi.apiKey')}</div>
+        <div className={`text-text-tertiary system-xs-medium px-[3px] ${textCls}`}>{t('appApi.apiKey')}</div>
       </Button>
       <SecretKeyModal isShow={isVisible} onClose={() => setVisible(false)} appId={appId} />
     </>
diff --git a/web/i18n/en-US/app-overview.ts b/web/i18n/en-US/app-overview.ts
index 15801d1504..565805a271 100644
--- a/web/i18n/en-US/app-overview.ts
+++ b/web/i18n/en-US/app-overview.ts
@@ -33,6 +33,7 @@ const translation = {
       explanation: 'Ready-to-use AI WebApp',
       accessibleAddress: 'Public URL',
       preview: 'Preview',
+      launch: 'Launch',
       regenerate: 'Regenerate',
       regenerateNotice: 'Do you want to regenerate the public URL?',
       preUseReminder: 'Please enable WebApp before continuing.',
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index c116e080b4..018401aa56 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -27,6 +27,7 @@ const translation = {
     sure: 'I\'m sure',
     download: 'Download',
     delete: 'Delete',
+    deleteApp: 'Delete App',
     settings: 'Settings',
     setup: 'Setup',
     getForFree: 'Get for free',
diff --git a/web/i18n/zh-Hans/app-overview.ts b/web/i18n/zh-Hans/app-overview.ts
index a337058d07..6274a64f13 100644
--- a/web/i18n/zh-Hans/app-overview.ts
+++ b/web/i18n/zh-Hans/app-overview.ts
@@ -33,6 +33,7 @@ const translation = {
       explanation: '开箱即用的 AI WebApp',
       accessibleAddress: '公开访问 URL',
       preview: '预览',
+      launch: '启动',
       regenerate: '重新生成',
       regenerateNotice: '您是否要重新生成公开访问 URL？',
       preUseReminder: '使用前请先打开开关',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 53c5337cab..5ce1cb1385 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -27,6 +27,7 @@ const translation = {
     sure: '我确定',
     download: '下载',
     delete: '删除',
+    deleteApp: '删除应用',
     settings: '设置',
     setup: '设置',
     getForFree: '免费获取',
diff --git a/web/tailwind.config.js b/web/tailwind.config.js
index 0da4968a7f..99d85bf32a 100644
--- a/web/tailwind.config.js
+++ b/web/tailwind.config.js
@@ -99,6 +99,8 @@ const config = {
         'chatbot-bg': 'var(--color-chatbot-bg)',
         'chat-bubble-bg': 'var(--color-chat-bubble-bg)',
         'workflow-process-bg': 'var(--color-workflow-process-bg)',
+        'app-detail-bg': 'var(--color-app-detail-bg)',
+        'app-detail-overlay-bg': 'var(--color-app-detail-overlay-bg)',
         'dataset-chunk-process-success-bg': 'var(--color-dataset-chunk-process-success-bg)',
         'dataset-chunk-process-error-bg': 'var(--color-dataset-chunk-process-error-bg)',
         'dataset-chunk-detail-card-hover-bg': 'var(--color-dataset-chunk-detail-card-hover-bg)',
diff --git a/web/themes/manual-dark.css b/web/themes/manual-dark.css
index 6d4c5f3908..052a080fa9 100644
--- a/web/themes/manual-dark.css
+++ b/web/themes/manual-dark.css
@@ -19,6 +19,17 @@ html[data-theme="dark"] {
     rgba(34, 34, 37, 0.9) -0.1%,
     rgba(29, 29, 32, 0.9) 98.26%
   );
+  --color-app-detail-bg: linear-gradient(
+    169deg,
+    #1D1D20 1.18%,
+    #222225 99.52%
+  );
+  --color-app-detail-overlay-bg: linear-gradient(
+    270deg,
+    rgba(0, 0, 0, 0.00) 0%,
+    rgba(24, 24, 27, 0.02) 8%,
+    rgba(24, 24, 27, 0.54) 100%
+  );
   --color-dataset-chunk-process-success-bg: linear-gradient(92deg, rgba(23, 178, 106, 0.30) 0%, rgba(0, 0, 0, 0.00) 100%);
   --color-dataset-chunk-process-error-bg: linear-gradient(92deg, rgba(240, 68, 56, 0.30) 0%, rgba(0, 0, 0, 0.00) 100%);
   --color-dataset-chunk-detail-card-hover-bg: linear-gradient(180deg, #1D1D20 0%, #222225 100%);
diff --git a/web/themes/manual-light.css b/web/themes/manual-light.css
index 501f9f1d1f..0566f4b1cd 100644
--- a/web/themes/manual-light.css
+++ b/web/themes/manual-light.css
@@ -19,6 +19,17 @@ html[data-theme="light"] {
     rgba(249, 250, 251, 0.9) -0.1%,
     rgba(242, 244, 247, 0.9) 98.26%
   );
+  --color-app-detail-bg: linear-gradient(
+    169deg,
+    #F2F4F7 1.18%,
+    #F9FAFB 99.52%
+  );
+  --color-app-detail-overlay-bg: linear-gradient(
+    270deg,
+    rgba(0, 0, 0, 0.00) 0%,
+    rgba(16, 24, 40, 0.01) 8%,
+    rgba(16, 24, 40, 0.18) 100%
+  );
   --color-dataset-chunk-process-success-bg: linear-gradient(92deg, rgba(23, 178, 106, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%);
   --color-dataset-chunk-process-error-bg: linear-gradient(92deg, rgba(240, 68, 56, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%);
   --color-dataset-chunk-detail-card-hover-bg: linear-gradient(180deg, #F2F4F7 0%, #F9FAFB 100%);

From 38c31e64db3792e53924442d4318d2e801a1c0f8 Mon Sep 17 00:00:00 2001
From: Steven sun <98230804+Tuyohai@users.noreply.github.com>
Date: Fri, 7 Feb 2025 22:16:26 +0800
Subject: [PATCH 150/217] add enable_search parameter to qwen_max, plus, turbo
 (#13335)

Co-authored-by: steven <sunzwj@digitalchina.com>
---
 .../model_providers/tongyi/llm/qwen-max-0107.yaml        | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-0403.yaml        | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-0428.yaml        | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-0919.yaml        | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-1201.yaml        | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-latest.yaml      | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-max-longcontext.yaml | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-0206.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-0624.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-0723.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-0806.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-0919.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-chat.yaml       | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-plus-latest.yaml     | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-turbo-0206.yaml      | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-turbo-0624.yaml      | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-turbo-0919.yaml      | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-turbo-chat.yaml      | 9 +++++++++
 .../model_providers/tongyi/llm/qwen-turbo-latest.yaml    | 9 +++++++++
 19 files changed, 171 insertions(+)

diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml
index ef1841b517..661311f178 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml
index a2ea5df130..76b739a92b 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml
index a467665f11..334b41257f 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml
index 78661eaea0..bfa70ca935 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml
index 6f4674576b..83c5732cd6 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml
@@ -68,6 +68,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml
index 8b5f005473..538bfb0448 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml
index cc0bb7a117..52bd758702 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml
index 0b1a6f81df..d37052f560 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml
index 7706005bb5..0025db9bd1 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml
index 348276fc08..401a15b690 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml
index 29f125135e..39154708a1 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml
index 905fa1e102..2ed2949a45 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml
index c7a3549727..d891796bac 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml
index 608f52c296..7ef5c04975 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml
index 7ee0d44f2f..09bc797465 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml
@@ -68,6 +68,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml
index 20a3f7eb64..036a96d1ae 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml
index ba73dec363..866efa3248 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml
index d785b7fe85..98c78ba8ac 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml
@@ -69,6 +69,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml
index fe38a4283c..e1193aeb7f 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml
@@ -67,6 +67,15 @@ parameter_rules:
     help:
       zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
       en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: enable_search
+    type: boolean
+    default: false
+    label:
+      zh_Hans: 联网搜索
+      en_US: Web Search
+    help:
+      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
+      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
   - name: response_format
     use_template: response_format
 pricing:

From a081b1e79e932b5dd06f12baadca38e067edf471 Mon Sep 17 00:00:00 2001
From: zhu-an <70234959+xhdd123321@users.noreply.github.com>
Date: Fri, 7 Feb 2025 22:35:24 +0800
Subject: [PATCH 151/217] fix: add compatibility config for third-party
 S3-compatible providers (#13354)

Co-authored-by: zhaoqingyu.1075 <zhaoqingyu.1075@bytedance.com>
---
 api/extensions/storage/aws_s3_storage.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/api/extensions/storage/aws_s3_storage.py b/api/extensions/storage/aws_s3_storage.py
index 7b6b2eedd6..ce6b194f40 100644
--- a/api/extensions/storage/aws_s3_storage.py
+++ b/api/extensions/storage/aws_s3_storage.py
@@ -32,7 +32,11 @@ class AwsS3Storage(BaseStorage):
                 aws_access_key_id=dify_config.S3_ACCESS_KEY,
                 endpoint_url=dify_config.S3_ENDPOINT,
                 region_name=dify_config.S3_REGION,
-                config=Config(s3={"addressing_style": dify_config.S3_ADDRESS_STYLE}),
+                config=Config(
+                    s3={"addressing_style": dify_config.S3_ADDRESS_STYLE},
+                    request_checksum_calculation="when_required",
+                    response_checksum_validation="when_required",
+                ),
             )
         # create bucket
         try:

From ebdbaf34e6c13561c507d9a80082290094a5ff99 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Fri, 7 Feb 2025 22:41:25 +0800
Subject: [PATCH 152/217] chore: translate i18n files (#13349)

Co-authored-by: JzoNgKVO <27049666+JzoNgKVO@users.noreply.github.com>
---
 web/i18n/de-DE/app-overview.ts   | 1 +
 web/i18n/de-DE/common.ts         | 1 +
 web/i18n/es-ES/app-overview.ts   | 1 +
 web/i18n/es-ES/common.ts         | 1 +
 web/i18n/fa-IR/app-overview.ts   | 1 +
 web/i18n/fa-IR/common.ts         | 1 +
 web/i18n/fr-FR/app-overview.ts   | 1 +
 web/i18n/fr-FR/common.ts         | 1 +
 web/i18n/hi-IN/app-overview.ts   | 1 +
 web/i18n/hi-IN/common.ts         | 1 +
 web/i18n/it-IT/app-overview.ts   | 1 +
 web/i18n/it-IT/common.ts         | 1 +
 web/i18n/ja-JP/app-overview.ts   | 1 +
 web/i18n/ja-JP/common.ts         | 1 +
 web/i18n/ko-KR/app-overview.ts   | 1 +
 web/i18n/ko-KR/common.ts         | 1 +
 web/i18n/pl-PL/app-overview.ts   | 1 +
 web/i18n/pl-PL/common.ts         | 1 +
 web/i18n/pt-BR/app-overview.ts   | 1 +
 web/i18n/pt-BR/common.ts         | 1 +
 web/i18n/ro-RO/app-overview.ts   | 1 +
 web/i18n/ro-RO/common.ts         | 1 +
 web/i18n/ru-RU/app-overview.ts   | 1 +
 web/i18n/ru-RU/common.ts         | 1 +
 web/i18n/sl-SI/app-overview.ts   | 1 +
 web/i18n/sl-SI/common.ts         | 1 +
 web/i18n/th-TH/app-overview.ts   | 1 +
 web/i18n/th-TH/common.ts         | 1 +
 web/i18n/tr-TR/app-overview.ts   | 1 +
 web/i18n/tr-TR/common.ts         | 1 +
 web/i18n/uk-UA/app-overview.ts   | 1 +
 web/i18n/uk-UA/common.ts         | 1 +
 web/i18n/vi-VN/app-overview.ts   | 1 +
 web/i18n/vi-VN/common.ts         | 1 +
 web/i18n/zh-Hant/app-overview.ts | 1 +
 web/i18n/zh-Hant/common.ts       | 1 +
 36 files changed, 36 insertions(+)

diff --git a/web/i18n/de-DE/app-overview.ts b/web/i18n/de-DE/app-overview.ts
index 7cc82dd38a..018925720f 100644
--- a/web/i18n/de-DE/app-overview.ts
+++ b/web/i18n/de-DE/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Dokumentation',
         },
       },
+      launch: 'Abschießen',
     },
     apiInfo: {
       title: 'Backend-Service-API',
diff --git a/web/i18n/de-DE/common.ts b/web/i18n/de-DE/common.ts
index 915fc2a277..782d80330b 100644
--- a/web/i18n/de-DE/common.ts
+++ b/web/i18n/de-DE/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Senden',
     skip: 'Schiff',
     imageCopied: 'Kopiertes Bild',
+    deleteApp: 'App löschen',
   },
   placeholder: {
     input: 'Bitte eingeben',
diff --git a/web/i18n/es-ES/app-overview.ts b/web/i18n/es-ES/app-overview.ts
index 4b2769ca29..62be19f6d8 100644
--- a/web/i18n/es-ES/app-overview.ts
+++ b/web/i18n/es-ES/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Documentación',
         },
       },
+      launch: 'Lanzar',
     },
     apiInfo: {
       title: 'API del servicio backend',
diff --git a/web/i18n/es-ES/common.ts b/web/i18n/es-ES/common.ts
index 936da90200..469acd73b0 100644
--- a/web/i18n/es-ES/common.ts
+++ b/web/i18n/es-ES/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Enviar',
     skip: 'Navío',
     imageCopied: 'Imagen copiada',
+    deleteApp: 'Eliminar aplicación',
   },
   errorMsg: {
     fieldRequired: '{{field}} es requerido',
diff --git a/web/i18n/fa-IR/app-overview.ts b/web/i18n/fa-IR/app-overview.ts
index 6386362a54..018336cb2a 100644
--- a/web/i18n/fa-IR/app-overview.ts
+++ b/web/i18n/fa-IR/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'مستندات',
         },
       },
+      launch: 'راه اندازی',
     },
     apiInfo: {
       title: 'API سرویس بک‌اند',
diff --git a/web/i18n/fa-IR/common.ts b/web/i18n/fa-IR/common.ts
index 53086071aa..fb8cad28c2 100644
--- a/web/i18n/fa-IR/common.ts
+++ b/web/i18n/fa-IR/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'ارسال',
     skip: 'کشتی',
     imageCopied: 'تصویر کپی شده',
+    deleteApp: 'حذف برنامه',
   },
   errorMsg: {
     fieldRequired: '{{field}} الزامی است',
diff --git a/web/i18n/fr-FR/app-overview.ts b/web/i18n/fr-FR/app-overview.ts
index dfc87379d8..5252bb86b5 100644
--- a/web/i18n/fr-FR/app-overview.ts
+++ b/web/i18n/fr-FR/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Documentation',
         },
       },
+      launch: 'Lancer',
     },
     apiInfo: {
       title: 'API de service Backend',
diff --git a/web/i18n/fr-FR/common.ts b/web/i18n/fr-FR/common.ts
index 662f53ab66..2d6c68e04b 100644
--- a/web/i18n/fr-FR/common.ts
+++ b/web/i18n/fr-FR/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Envoyer',
     skip: 'Bateau',
     imageCopied: 'Image copied',
+    deleteApp: 'Supprimer l’application',
   },
   placeholder: {
     input: 'Veuillez entrer',
diff --git a/web/i18n/hi-IN/app-overview.ts b/web/i18n/hi-IN/app-overview.ts
index d7de14c6c6..c8848d6331 100644
--- a/web/i18n/hi-IN/app-overview.ts
+++ b/web/i18n/hi-IN/app-overview.ts
@@ -123,6 +123,7 @@ const translation = {
           operation: 'प्रलेखन',
         },
       },
+      launch: 'लॉन्च',
     },
     apiInfo: {
       title: 'बैकएंड सेवा एपीआई',
diff --git a/web/i18n/hi-IN/common.ts b/web/i18n/hi-IN/common.ts
index 2a14cd0279..bd87012944 100644
--- a/web/i18n/hi-IN/common.ts
+++ b/web/i18n/hi-IN/common.ts
@@ -50,6 +50,7 @@ const translation = {
     skip: 'जहाज़',
     submit: 'जमा करें',
     imageCopied: 'कॉपी की गई छवि',
+    deleteApp: 'ऐप हटाएं',
   },
   errorMsg: {
     fieldRequired: '{{field}} आवश्यक है',
diff --git a/web/i18n/it-IT/app-overview.ts b/web/i18n/it-IT/app-overview.ts
index 7e4dce194b..8021bb1976 100644
--- a/web/i18n/it-IT/app-overview.ts
+++ b/web/i18n/it-IT/app-overview.ts
@@ -125,6 +125,7 @@ const translation = {
           operation: 'Documentazione',
         },
       },
+      launch: 'Lanciare',
     },
     apiInfo: {
       title: 'API del servizio backend',
diff --git a/web/i18n/it-IT/common.ts b/web/i18n/it-IT/common.ts
index c764a93dac..1a30229fb7 100644
--- a/web/i18n/it-IT/common.ts
+++ b/web/i18n/it-IT/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Invia',
     skip: 'Nave',
     imageCopied: 'Immagine copiata',
+    deleteApp: 'Elimina app',
   },
   errorMsg: {
     fieldRequired: '{{field}} è obbligatorio',
diff --git a/web/i18n/ja-JP/app-overview.ts b/web/i18n/ja-JP/app-overview.ts
index 0895d691c3..7e750a4775 100644
--- a/web/i18n/ja-JP/app-overview.ts
+++ b/web/i18n/ja-JP/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'ドキュメント',
         },
       },
+      launch: '発射',
     },
     apiInfo: {
       title: 'バックエンドサービスAPI',
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index e176f5d139..87ed2afc94 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: '送信',
     skip: 'スキップ',
     imageCopied: 'コピーした画像',
+    deleteApp: 'アプリを削除',
   },
   errorMsg: {
     fieldRequired: '{{field}}は必要です',
diff --git a/web/i18n/ko-KR/app-overview.ts b/web/i18n/ko-KR/app-overview.ts
index 0acec73c44..775818909a 100644
--- a/web/i18n/ko-KR/app-overview.ts
+++ b/web/i18n/ko-KR/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: '문서',
         },
       },
+      launch: '발사',
     },
     apiInfo: {
       title: '백엔드 서비스 API',
diff --git a/web/i18n/ko-KR/common.ts b/web/i18n/ko-KR/common.ts
index a11af1ba31..fcdd93c78e 100644
--- a/web/i18n/ko-KR/common.ts
+++ b/web/i18n/ko-KR/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: '전송',
     skip: '배',
     imageCopied: '복사된 이미지',
+    deleteApp: '앱 삭제',
   },
   placeholder: {
     input: '입력해주세요',
diff --git a/web/i18n/pl-PL/app-overview.ts b/web/i18n/pl-PL/app-overview.ts
index 7e25b014a0..7726927565 100644
--- a/web/i18n/pl-PL/app-overview.ts
+++ b/web/i18n/pl-PL/app-overview.ts
@@ -123,6 +123,7 @@ const translation = {
           operation: 'Dokumentacja',
         },
       },
+      launch: 'Uruchomić',
     },
     apiInfo: {
       title: 'API usługi w tle',
diff --git a/web/i18n/pl-PL/common.ts b/web/i18n/pl-PL/common.ts
index d6502416c3..5f31e5bfad 100644
--- a/web/i18n/pl-PL/common.ts
+++ b/web/i18n/pl-PL/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Prześlij',
     skip: 'Statek',
     imageCopied: 'Skopiowany obraz',
+    deleteApp: 'Usuń aplikację',
   },
   placeholder: {
     input: 'Proszę wprowadzić',
diff --git a/web/i18n/pt-BR/app-overview.ts b/web/i18n/pt-BR/app-overview.ts
index 1431fa13ce..a23163fc89 100644
--- a/web/i18n/pt-BR/app-overview.ts
+++ b/web/i18n/pt-BR/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Documentação',
         },
       },
+      launch: 'Lançar',
     },
     apiInfo: {
       title: 'API de Serviço de Back-end',
diff --git a/web/i18n/pt-BR/common.ts b/web/i18n/pt-BR/common.ts
index d0327de642..42e606deb3 100644
--- a/web/i18n/pt-BR/common.ts
+++ b/web/i18n/pt-BR/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Enviar',
     skip: 'Navio',
     imageCopied: 'Imagem copiada',
+    deleteApp: 'Excluir aplicativo',
   },
   placeholder: {
     input: 'Por favor, insira',
diff --git a/web/i18n/ro-RO/app-overview.ts b/web/i18n/ro-RO/app-overview.ts
index 07f28425e2..a5dee76508 100644
--- a/web/i18n/ro-RO/app-overview.ts
+++ b/web/i18n/ro-RO/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Documentație',
         },
       },
+      launch: 'Lansa',
     },
     apiInfo: {
       title: 'API serviciu backend',
diff --git a/web/i18n/ro-RO/common.ts b/web/i18n/ro-RO/common.ts
index 8f0cbc64cb..e7e573fba6 100644
--- a/web/i18n/ro-RO/common.ts
+++ b/web/i18n/ro-RO/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Prezinte',
     skip: 'Navă',
     imageCopied: 'Imagine copiată',
+    deleteApp: 'Ștergeți aplicația',
   },
   placeholder: {
     input: 'Vă rugăm să introduceți',
diff --git a/web/i18n/ru-RU/app-overview.ts b/web/i18n/ru-RU/app-overview.ts
index c26c1d5ec6..7de8a47526 100644
--- a/web/i18n/ru-RU/app-overview.ts
+++ b/web/i18n/ru-RU/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Документация',
         },
       },
+      launch: 'Баркас',
     },
     apiInfo: {
       title: 'API серверной части',
diff --git a/web/i18n/ru-RU/common.ts b/web/i18n/ru-RU/common.ts
index 2d8535e6a0..bad5c99c65 100644
--- a/web/i18n/ru-RU/common.ts
+++ b/web/i18n/ru-RU/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Отправить',
     skip: 'Корабль',
     imageCopied: 'Скопированное изображение',
+    deleteApp: 'Удалить приложение',
   },
   errorMsg: {
     fieldRequired: '{{field}} обязательно',
diff --git a/web/i18n/sl-SI/app-overview.ts b/web/i18n/sl-SI/app-overview.ts
index 458a5c4245..94fb788a94 100644
--- a/web/i18n/sl-SI/app-overview.ts
+++ b/web/i18n/sl-SI/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Dokumentacija',
         },
       },
+      launch: 'Začetek',
     },
     apiInfo: {
       title: 'API storitev v ozadju',
diff --git a/web/i18n/sl-SI/common.ts b/web/i18n/sl-SI/common.ts
index 2d30e0b76c..5b7d79b6fd 100644
--- a/web/i18n/sl-SI/common.ts
+++ b/web/i18n/sl-SI/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Predložiti',
     skip: 'Ladja',
     imageCopied: 'Kopirana slika',
+    deleteApp: 'Izbriši aplikacijo',
   },
   errorMsg: {
     fieldRequired: '{{field}} je obvezno',
diff --git a/web/i18n/th-TH/app-overview.ts b/web/i18n/th-TH/app-overview.ts
index e8bc0a64a4..27792e16c9 100644
--- a/web/i18n/th-TH/app-overview.ts
+++ b/web/i18n/th-TH/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'เอกสาร',
         },
       },
+      launch: 'เรือยนต์',
     },
     apiInfo: {
       title: 'API บริการแบ็กเอนด์',
diff --git a/web/i18n/th-TH/common.ts b/web/i18n/th-TH/common.ts
index ab6def82c5..e510c8e009 100644
--- a/web/i18n/th-TH/common.ts
+++ b/web/i18n/th-TH/common.ts
@@ -50,6 +50,7 @@ const translation = {
     skip: 'เรือ',
     submit: 'ส่ง',
     imageCopied: 'ภาพที่คัดลอก',
+    deleteApp: 'ลบแอพ',
   },
   errorMsg: {
     fieldRequired: '{{field}} เป็นสิ่งจําเป็น',
diff --git a/web/i18n/tr-TR/app-overview.ts b/web/i18n/tr-TR/app-overview.ts
index 14a057a723..0b4311ae45 100644
--- a/web/i18n/tr-TR/app-overview.ts
+++ b/web/i18n/tr-TR/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Dokümantasyon',
         },
       },
+      launch: 'Başlat',
     },
     apiInfo: {
       title: 'Arka Uç Servis API\'si',
diff --git a/web/i18n/tr-TR/common.ts b/web/i18n/tr-TR/common.ts
index ea764ebd29..35c40ca475 100644
--- a/web/i18n/tr-TR/common.ts
+++ b/web/i18n/tr-TR/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Gönder',
     skip: 'Gemi',
     imageCopied: 'Kopyalanan görüntü',
+    deleteApp: 'Uygulamayı Sil',
   },
   errorMsg: {
     fieldRequired: '{{field}} gereklidir',
diff --git a/web/i18n/uk-UA/app-overview.ts b/web/i18n/uk-UA/app-overview.ts
index 97b3569340..e6a1485480 100644
--- a/web/i18n/uk-UA/app-overview.ts
+++ b/web/i18n/uk-UA/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Документація',
         },
       },
+      launch: 'Запуску',
     },
     apiInfo: {
       title: 'API сервісу Backend',
diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts
index bfdaf7c7ca..318b8e2fdd 100644
--- a/web/i18n/uk-UA/common.ts
+++ b/web/i18n/uk-UA/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Представити',
     skip: 'Корабель',
     imageCopied: 'Скопійоване зображення',
+    deleteApp: 'Видалити програму',
   },
   placeholder: {
     input: 'Будь ласка, введіть текст',
diff --git a/web/i18n/vi-VN/app-overview.ts b/web/i18n/vi-VN/app-overview.ts
index 3d86652d9e..5f060c869a 100644
--- a/web/i18n/vi-VN/app-overview.ts
+++ b/web/i18n/vi-VN/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: 'Tài liệu',
         },
       },
+      launch: 'Phóng',
     },
     apiInfo: {
       title: 'API dịch vụ backend',
diff --git a/web/i18n/vi-VN/common.ts b/web/i18n/vi-VN/common.ts
index 9fd1af1d44..1fbe8ac832 100644
--- a/web/i18n/vi-VN/common.ts
+++ b/web/i18n/vi-VN/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: 'Trình',
     skip: 'Tàu',
     imageCopied: 'Hình ảnh sao chép',
+    deleteApp: 'Xóa ứng dụng',
   },
   placeholder: {
     input: 'Vui lòng nhập',
diff --git a/web/i18n/zh-Hant/app-overview.ts b/web/i18n/zh-Hant/app-overview.ts
index f60b3b7ace..956fa9a1c9 100644
--- a/web/i18n/zh-Hant/app-overview.ts
+++ b/web/i18n/zh-Hant/app-overview.ts
@@ -112,6 +112,7 @@ const translation = {
           operation: '檢視文件',
         },
       },
+      launch: '發射',
     },
     apiInfo: {
       title: '後端服務 API',
diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts
index 735af54a89..a402db6a3a 100644
--- a/web/i18n/zh-Hant/common.ts
+++ b/web/i18n/zh-Hant/common.ts
@@ -50,6 +50,7 @@ const translation = {
     submit: '提交',
     skip: '船',
     imageCopied: '複製的圖片',
+    deleteApp: '刪除應用程式',
   },
   placeholder: {
     input: '請輸入',

From 8f9db61688810ed720012fee2dd0c2d72a8ef518 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Fri, 7 Feb 2025 20:12:22 -0500
Subject: [PATCH 153/217] feat: added new silicon flow models (#13369)

---
 .../siliconflow/llm/_position.yaml            |  7 ++++++
 .../llm/deepseek-r1-distill-llama-70B.yaml    | 21 ++++++++++++++++++
 .../llm/deepseek-r1-distill-llama-8B.yaml     | 21 ++++++++++++++++++
 .../llm/deepseek-r1-distill-qwen-1.5B.yaml    | 21 ++++++++++++++++++
 .../llm/deepseek-r1-distill-qwen-14B.yaml     | 21 ++++++++++++++++++
 .../llm/deepseek-r1-distill-qwen-32B.yaml     | 21 ++++++++++++++++++
 .../llm/deepseek-r1-distill-qwen-7B.yaml      | 21 ++++++++++++++++++
 .../siliconflow/llm/janus-pro-7B.yaml         | 22 +++++++++++++++++++
 8 files changed, 155 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml
 create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml

diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
index 1ec9aee641..2da670d4df 100644
--- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
@@ -17,6 +17,13 @@
 - deepseek-ai/DeepSeek-V2.5
 - deepseek-ai/DeepSeek-V3
 - deepseek-ai/DeepSeek-Coder-V2-Instruct
+- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+- deepseek-ai/Janus-Pro-7B
 - THUDM/glm-4-9b-chat
 - 01-ai/Yi-1.5-34B-Chat-16K
 - 01-ai/Yi-1.5-9B-Chat-16K
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml
new file mode 100644
index 0000000000..59e0b4d68e
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "4.3"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml
new file mode 100644
index 0000000000..f3256aa5a0
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "0.00"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml
new file mode 100644
index 0000000000..7297278654
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "1.26"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml
new file mode 100644
index 0000000000..24b5c89ebf
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "0.70"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml
new file mode 100644
index 0000000000..2a8cce1f96
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "1.26"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml
new file mode 100644
index 0000000000..cde1c14aae
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+label:
+  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "0.00"
+  unit: "0.000001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml
new file mode 100644
index 0000000000..dabbd745e5
--- /dev/null
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml
@@ -0,0 +1,22 @@
+model: deepseek-ai/Janus-Pro-7B
+label:
+  zh_Hans: deepseek-ai/Janus-Pro-7B
+  en_US: deepseek-ai/Janus-Pro-7B
+model_type: llm
+features:
+  - agent-thought
+  - vision
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.00"
+  output: "0.00"
+  unit: "0.000001"
+  currency: RMB

From c8dcde6cd0d1f255d69d78e67657760b8d5d7359 Mon Sep 17 00:00:00 2001
From: Kalo Chin <91766386+fdb02983rhy@users.noreply.github.com>
Date: Sat, 8 Feb 2025 10:12:42 +0900
Subject: [PATCH 154/217] fix: Gemini 2.0 Flash 001 model yaml file naming
 (#13372)

---
 .../llm/{gemini-2.0-flash-001.yml => gemini-2.0-flash-001.yaml}   | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename api/core/model_runtime/model_providers/google/llm/{gemini-2.0-flash-001.yml => gemini-2.0-flash-001.yaml} (100%)

diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yaml
similarity index 100%
rename from api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yml
rename to api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yaml

From 982bca5d40943ffc7ac2c183592556e676796fdf Mon Sep 17 00:00:00 2001
From: Xin Zhang <sjhpzx@gmail.com>
Date: Sat, 8 Feb 2025 10:28:31 +0800
Subject: [PATCH 155/217] fix: add rate limiting to prevent brute force on
 password reset (#13292)

---
 api/configs/feature/__init__.py               |  5 ++++
 api/controllers/console/auth/error.py         |  6 +++++
 .../console/auth/forgot_password.py           | 14 +++++++++-
 api/services/account_service.py               | 27 +++++++++++++++++++
 4 files changed, 51 insertions(+), 1 deletion(-)

diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index 9e2ba41780..ba3542baf3 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -498,6 +498,11 @@ class AuthConfig(BaseSettings):
         default=86400,
     )
 
+    FORGOT_PASSWORD_LOCKOUT_DURATION: PositiveInt = Field(
+        description="Time (in seconds) a user must wait before retrying password reset after exceeding the rate limit.",
+        default=86400,
+    )
+
 
 class ModerationConfig(BaseSettings):
     """
diff --git a/api/controllers/console/auth/error.py b/api/controllers/console/auth/error.py
index 8ef10c7bbb..b40934dbf5 100644
--- a/api/controllers/console/auth/error.py
+++ b/api/controllers/console/auth/error.py
@@ -59,3 +59,9 @@ class EmailCodeAccountDeletionRateLimitExceededError(BaseHTTPException):
     error_code = "email_code_account_deletion_rate_limit_exceeded"
     description = "Too many account deletion emails have been sent. Please try again in 5 minutes."
     code = 429
+
+
+class EmailPasswordResetLimitError(BaseHTTPException):
+    error_code = "email_password_reset_limit"
+    description = "Too many failed password reset attempts. Please try again in 24 hours."
+    code = 429
diff --git a/api/controllers/console/auth/forgot_password.py b/api/controllers/console/auth/forgot_password.py
index a9c4300b9a..241ecdbd53 100644
--- a/api/controllers/console/auth/forgot_password.py
+++ b/api/controllers/console/auth/forgot_password.py
@@ -6,7 +6,13 @@ from flask_restful import Resource, reqparse  # type: ignore
 
 from constants.languages import languages
 from controllers.console import api
-from controllers.console.auth.error import EmailCodeError, InvalidEmailError, InvalidTokenError, PasswordMismatchError
+from controllers.console.auth.error import (
+    EmailCodeError,
+    EmailPasswordResetLimitError,
+    InvalidEmailError,
+    InvalidTokenError,
+    PasswordMismatchError,
+)
 from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
 from controllers.console.wraps import setup_required
 from events.tenant_event import tenant_was_created
@@ -62,6 +68,10 @@ class ForgotPasswordCheckApi(Resource):
 
         user_email = args["email"]
 
+        is_forgot_password_error_rate_limit = AccountService.is_forgot_password_error_rate_limit(args["email"])
+        if is_forgot_password_error_rate_limit:
+            raise EmailPasswordResetLimitError()
+
         token_data = AccountService.get_reset_password_data(args["token"])
         if token_data is None:
             raise InvalidTokenError()
@@ -70,8 +80,10 @@ class ForgotPasswordCheckApi(Resource):
             raise InvalidEmailError()
 
         if args["code"] != token_data.get("code"):
+            AccountService.add_forgot_password_error_rate_limit(args["email"])
             raise EmailCodeError()
 
+        AccountService.reset_forgot_password_error_rate_limit(args["email"])
         return {"is_valid": True, "email": token_data.get("email")}
 
 
diff --git a/api/services/account_service.py b/api/services/account_service.py
index dd1cc5f94f..5388e1878e 100644
--- a/api/services/account_service.py
+++ b/api/services/account_service.py
@@ -77,6 +77,7 @@ class AccountService:
         prefix="email_code_account_deletion_rate_limit", max_attempts=1, time_window=60 * 1
     )
     LOGIN_MAX_ERROR_LIMITS = 5
+    FORGOT_PASSWORD_MAX_ERROR_LIMITS = 5
 
     @staticmethod
     def _get_refresh_token_key(refresh_token: str) -> str:
@@ -503,6 +504,32 @@ class AccountService:
         key = f"login_error_rate_limit:{email}"
         redis_client.delete(key)
 
+    @staticmethod
+    def add_forgot_password_error_rate_limit(email: str) -> None:
+        key = f"forgot_password_error_rate_limit:{email}"
+        count = redis_client.get(key)
+        if count is None:
+            count = 0
+        count = int(count) + 1
+        redis_client.setex(key, dify_config.FORGOT_PASSWORD_LOCKOUT_DURATION, count)
+
+    @staticmethod
+    def is_forgot_password_error_rate_limit(email: str) -> bool:
+        key = f"forgot_password_error_rate_limit:{email}"
+        count = redis_client.get(key)
+        if count is None:
+            return False
+
+        count = int(count)
+        if count > AccountService.FORGOT_PASSWORD_MAX_ERROR_LIMITS:
+            return True
+        return False
+
+    @staticmethod
+    def reset_forgot_password_error_rate_limit(email: str):
+        key = f"forgot_password_error_rate_limit:{email}"
+        redis_client.delete(key)
+
     @staticmethod
     def is_email_send_ip_limit(ip_address: str):
         minute_key = f"email_send_ip_limit_minute:{ip_address}"

From b3ae6b634fa8211b1f73c48fd2a962ba4638deed Mon Sep 17 00:00:00 2001
From: Katy Tao <34019945+KatyTao@users.noreply.github.com>
Date: Sat, 8 Feb 2025 11:57:41 +0800
Subject: [PATCH 156/217] feat: add pan and zoom support for MiniMap (#13382)

---
 web/app/components/workflow/operator/index.tsx | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/web/app/components/workflow/operator/index.tsx b/web/app/components/workflow/operator/index.tsx
index 1ee5fef337..39b39f8cc6 100644
--- a/web/app/components/workflow/operator/index.tsx
+++ b/web/app/components/workflow/operator/index.tsx
@@ -13,6 +13,8 @@ const Operator = ({ handleUndo, handleRedo }: OperatorProps) => {
   return (
     <>
       <MiniMap
+        pannable
+        zoomable
         style={{
           width: 102,
           height: 72,

From 3112b74527caa9cee7bf7b4307770f2c6ada9c64 Mon Sep 17 00:00:00 2001
From: Hash Brown <hi@xzd.me>
Date: Sat, 8 Feb 2025 11:59:02 +0800
Subject: [PATCH 157/217] fix: build failed due to `getPrevChatList` no longer
 exists (#13383)

---
 .../base/chat/embedded-chatbot/hooks.tsx      | 33 +++++++++++++++++--
 1 file changed, 31 insertions(+), 2 deletions(-)

diff --git a/web/app/components/base/chat/embedded-chatbot/hooks.tsx b/web/app/components/base/chat/embedded-chatbot/hooks.tsx
index 0a8bc0993f..077eefc325 100644
--- a/web/app/components/base/chat/embedded-chatbot/hooks.tsx
+++ b/web/app/components/base/chat/embedded-chatbot/hooks.tsx
@@ -11,10 +11,12 @@ import { useLocalStorageState } from 'ahooks'
 import produce from 'immer'
 import type {
   ChatConfig,
+  ChatItem,
   Feedback,
 } from '../types'
 import { CONVERSATION_ID_INFO } from '../constants'
-import { getPrevChatList, getProcessedInputsFromUrlParams } from '../utils'
+import { buildChatItemTree, getProcessedInputsFromUrlParams } from '../utils'
+import { getProcessedFilesFromResponse } from '../../file-uploader/utils'
 import {
   fetchAppInfo,
   fetchAppMeta,
@@ -32,6 +34,33 @@ import { useToastContext } from '@/app/components/base/toast'
 import { changeLanguage } from '@/i18n/i18next-config'
 import { InputVarType } from '@/app/components/workflow/types'
 import { TransferMethod } from '@/types/app'
+import { addFileInfos, sortAgentSorts } from '@/app/components/tools/utils'
+
+function getFormattedChatList(messages: any[]) {
+  const newChatList: ChatItem[] = []
+  messages.forEach((item) => {
+    const questionFiles = item.message_files?.filter((file: any) => file.belongs_to === 'user') || []
+    newChatList.push({
+      id: `question-${item.id}`,
+      content: item.query,
+      isAnswer: false,
+      message_files: getProcessedFilesFromResponse(questionFiles.map((item: any) => ({ ...item, related_id: item.id }))),
+      parentMessageId: item.parent_message_id || undefined,
+    })
+    const answerFiles = item.message_files?.filter((file: any) => file.belongs_to === 'assistant') || []
+    newChatList.push({
+      id: item.id,
+      content: item.answer,
+      agent_thoughts: addFileInfos(item.agent_thoughts ? sortAgentSorts(item.agent_thoughts) : item.agent_thoughts, item.message_files),
+      feedback: item.feedback,
+      isAnswer: true,
+      citation: item.retriever_resources,
+      message_files: getProcessedFilesFromResponse(answerFiles.map((item: any) => ({ ...item, related_id: item.id }))),
+      parentMessageId: `question-${item.id}`,
+    })
+  })
+  return newChatList
+}
 
 export const useEmbeddedChatbot = () => {
   const isInstalledApp = false
@@ -77,7 +106,7 @@ export const useEmbeddedChatbot = () => {
 
   const appPrevChatList = useMemo(
     () => (currentConversationId && appChatListData?.data.length)
-      ? getPrevChatList(appChatListData.data)
+      ? buildChatItemTree(getFormattedChatList(appChatListData.data))
       : [],
     [appChatListData, currentConversationId],
   )

From 6622c7f98d835c79e1f9d908d378a2ec2c3ceabf Mon Sep 17 00:00:00 2001
From: depy <42985524+h4ckdepy@users.noreply.github.com>
Date: Sat, 8 Feb 2025 12:00:45 +0800
Subject: [PATCH 158/217] fix: Fix HTTP request node non 443 port SSL site
 inaccessible (#13376)

---
 docker/ssrf_proxy/squid.conf.template | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docker/ssrf_proxy/squid.conf.template b/docker/ssrf_proxy/squid.conf.template
index a0875a8826..676fe7379c 100644
--- a/docker/ssrf_proxy/squid.conf.template
+++ b/docker/ssrf_proxy/squid.conf.template
@@ -7,6 +7,7 @@ acl localnet src 192.168.0.0/16		# RFC 1918 local private network (LAN)
 acl localnet src fc00::/7       	# RFC 4193 local private network range
 acl localnet src fe80::/10      	# RFC 4291 link-local (directly plugged) machines
 acl SSL_ports port 443
+# acl SSL_ports port 1025-65535   # Enable the configuration to resolve this issue: https://github.com/langgenius/dify/issues/12792
 acl Safe_ports port 80		# http
 acl Safe_ports port 21		# ftp
 acl Safe_ports port 443		# https

From cf36745770730e8088b77ab662f8a91541df13ac Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E8=83=A1=E6=98=A5=E4=B8=9C?= <gycm520@gmail.com>
Date: Sat, 8 Feb 2025 12:30:00 +0800
Subject: [PATCH 159/217] fix(workflow_tool): enable File parameter support
 after workflow is published as a tool (#13175)

---
 api/core/tools/tool/workflow_tool.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/api/core/tools/tool/workflow_tool.py b/api/core/tools/tool/workflow_tool.py
index eea66ee4ed..9d13e2c49a 100644
--- a/api/core/tools/tool/workflow_tool.py
+++ b/api/core/tools/tool/workflow_tool.py
@@ -195,14 +195,14 @@ class WorkflowTool(Tool):
             if isinstance(value, list):
                 for item in value:
                     if isinstance(item, dict) and item.get("dify_model_identity") == FILE_MODEL_IDENTITY:
-                        item["tool_file_id"] = item.get("related_id")
+                        item = self._update_file_mapping(item)
                         file = build_from_mapping(
                             mapping=item,
                             tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
                         )
                         files.append(file)
             elif isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY:
-                value["tool_file_id"] = value.get("related_id")
+                value = self._update_file_mapping(value)
                 file = build_from_mapping(
                     mapping=value,
                     tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
@@ -211,3 +211,11 @@ class WorkflowTool(Tool):
 
             result[key] = value
         return result, files
+
+    def _update_file_mapping(self, file_dict: dict) -> dict:
+        transfer_method = FileTransferMethod.value_of(file_dict.get("transfer_method"))
+        if transfer_method == FileTransferMethod.TOOL_FILE:
+            file_dict["tool_file_id"] = file_dict.get("related_id")
+        elif transfer_method == FileTransferMethod.LOCAL_FILE:
+            file_dict["upload_file_id"] = file_dict.get("related_id")
+        return file_dict

From 78708eb5d539c824b19069784eb85980303cd3c0 Mon Sep 17 00:00:00 2001
From: Hash Brown <hi@xzd.me>
Date: Sat, 8 Feb 2025 14:38:10 +0800
Subject: [PATCH 160/217] fix: merge conflict between #11301 and #11885
 (#13391)

---
 .../workflow/panel/debug-and-preview/hooks.ts       | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/web/app/components/workflow/panel/debug-and-preview/hooks.ts b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
index d3e4e90327..a730d0a198 100644
--- a/web/app/components/workflow/panel/debug-and-preview/hooks.ts
+++ b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
@@ -425,13 +425,12 @@ export const useChat = (
           else
             responseItem.workflowProcess!.tracing[currentIndex].retryDetail = [data as NodeTracing]
 
-          handleUpdateChatList(produce(chatListRef.current, (draft) => {
-            const currentIndex = draft.findIndex(item => item.id === responseItem.id)
-            draft[currentIndex] = {
-              ...draft[currentIndex],
-              ...responseItem,
-            }
-          }))
+          updateCurrentQAOnTree({
+            placeholderQuestionId,
+            questionItem,
+            responseItem,
+            parentId: params.parent_message_id,
+          })
         },
         onNodeFinished: ({ data }) => {
           if (data.iteration_id)

From 286cdc41ab3637044a266de53d4ffaef7313514c Mon Sep 17 00:00:00 2001
From: "Junjie.M" <118170653@qq.com>
Date: Sat, 8 Feb 2025 16:19:41 +0800
Subject: [PATCH 161/217] reasoning model unified think tag is <think></think>
 (#13392)

Co-authored-by: crazywoola <427733928@qq.com>
---
 .../__base/large_language_model.py            | 21 +++------------
 .../model_providers/ollama/llm/llm.py         |  1 -
 .../openai_api_compatible/llm/llm.py          |  1 -
 .../model_providers/xinference/llm/llm.py     |  1 -
 web/app/components/base/markdown.tsx          | 27 ++++++++++++++++---
 5 files changed, 26 insertions(+), 25 deletions(-)

diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py
index b45b2ca025..f377f12919 100644
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -30,11 +30,6 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel
 
 logger = logging.getLogger(__name__)
 
-HTML_THINKING_TAG = (
-    '<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> '
-    "<summary> Thinking... </summary>"
-)
-
 
 class LargeLanguageModel(AIModel):
     """
@@ -408,7 +403,7 @@ if you are not sure about the structure.
     def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
         """
         If the reasoning response is from delta.get("reasoning_content"), we wrap
-        it with HTML details tag.
+        it with HTML think tag.
 
         :param delta: delta dictionary from LLM streaming response
         :param is_reasoning: is reasoning
@@ -420,25 +415,15 @@ if you are not sure about the structure.
 
         if reasoning_content:
             if not is_reasoning:
-                content = HTML_THINKING_TAG + reasoning_content
+                content = "<think>\n" + reasoning_content
                 is_reasoning = True
             else:
                 content = reasoning_content
         elif is_reasoning:
-            content = "</details>" + content
+            content = "\n</think>" + content
             is_reasoning = False
         return content, is_reasoning
 
-    def _wrap_thinking_by_tag(self, content: str) -> str:
-        """
-        if the reasoning response is a <think>...</think> block from delta.get("content"),
-        we replace <think> to <detail>.
-
-        :param content: delta.get("content")
-        :return: processed_content
-        """
-        return content.replace("<think>", HTML_THINKING_TAG).replace("</think>", "</details>")
-
     def _invoke_result_generator(
         self,
         model: str,
diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py
index b640914b39..3ae728d4b3 100644
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py
@@ -367,7 +367,6 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
 
                 # transform assistant message to prompt message
                 text = chunk_json["response"]
-            text = self._wrap_thinking_by_tag(text)
 
             assistant_prompt_message = AssistantPromptMessage(content=text)
 
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
index 7f79da267f..cab552af25 100644
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
@@ -528,7 +528,6 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
                     delta_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
                         delta, is_reasoning_started
                     )
-                    delta_content = self._wrap_thinking_by_tag(delta_content)
 
                     assistant_message_tool_calls = None
 
diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py
index fcf452d627..7c77f7a0e1 100644
--- a/api/core/model_runtime/model_providers/xinference/llm/llm.py
+++ b/api/core/model_runtime/model_providers/xinference/llm/llm.py
@@ -654,7 +654,6 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
             if function_call:
                 assistant_message_tool_calls += [self._extract_response_function_call(function_call)]
 
-            delta_content = self._wrap_thinking_by_tag(delta_content)
             # transform assistant message to prompt message
             assistant_prompt_message = AssistantPromptMessage(
                 content=delta_content or "", tool_calls=assistant_message_tool_calls
diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx
index b26d9df30e..b98df4b7b2 100644
--- a/web/app/components/base/markdown.tsx
+++ b/web/app/components/base/markdown.tsx
@@ -10,6 +10,7 @@ import SyntaxHighlighter from 'react-syntax-highlighter'
 import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs'
 import { Component, memo, useMemo, useRef, useState } from 'react'
 import type { CodeComponent } from 'react-markdown/lib/ast-to-react'
+import { flow } from 'lodash/fp'
 import cn from '@/utils/classnames'
 import CopyBtn from '@/app/components/base/copy-btn'
 import SVGBtn from '@/app/components/base/svg'
@@ -58,9 +59,24 @@ const getCorrectCapitalizationLanguageName = (language: string) => {
 const preprocessLaTeX = (content: string) => {
   if (typeof content !== 'string')
     return content
-  return content.replace(/\\\[(.*?)\\\]/g, (_, equation) => `$$${equation}$$`)
-    .replace(/\\\((.*?)\\\)/g, (_, equation) => `$$${equation}$$`)
-    .replace(/(^|[^\\])\$(.+?)\$/g, (_, prefix, equation) => `${prefix}$${equation}$`)
+
+  return flow([
+    (str: string) => str.replace(/\\\[(.*?)\\\]/g, (_, equation) => `$$${equation}$$`),
+    (str: string) => str.replace(/\\\((.*?)\\\)/g, (_, equation) => `$$${equation}$$`),
+    (str: string) => str.replace(/(^|[^\\])\$(.+?)\$/g, (_, prefix, equation) => `${prefix}$${equation}$`),
+  ])(content)
+}
+
+const preprocessThinkTag = (content: string) => {
+  if (!content.trim().startsWith('<think>\n'))
+    return content
+
+  return flow([
+    (str: string) => str.replace('<think>\n', '<details open><summary class="text-gray-500 font-bold">Thinking</summary><div class="text-gray-500 p-3 ml-2 bg-gray-50 border-l border-gray-300">\n'),
+    (str: string) => str.includes('\n</think>')
+      ? str.replace('\n</think>', '\n</div></details>')
+      : `${str}\n</div></details>`,
+  ])(content)
 }
 
 export function PreCode(props: { children: any }) {
@@ -225,7 +241,10 @@ const Link = ({ node, ...props }: any) => {
 }
 
 export function Markdown(props: { content: string; className?: string }) {
-  const latexContent = preprocessLaTeX(props.content)
+  const latexContent = flow([
+    preprocessThinkTag,
+    preprocessLaTeX,
+  ])(props.content)
   return (
     <div className={cn(props.className, 'markdown-body')}>
       <ReactMarkdown

From 45874c699d937b1b78c482ca43fc4c856abd4d1b Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Sat, 8 Feb 2025 21:33:45 +0900
Subject: [PATCH 162/217] Nitpick/fix typos in document (#13413)

---
 web/app/components/develop/template/template.en.mdx  |  2 +-
 web/app/components/develop/template/template.ja.mdx  |  6 +++---
 web/app/components/develop/template/template.zh.mdx  |  2 +-
 .../develop/template/template_advanced_chat.en.mdx   |  8 ++++----
 .../develop/template/template_advanced_chat.ja.mdx   |  8 ++++----
 .../develop/template/template_advanced_chat.zh.mdx   |  6 +++---
 .../components/develop/template/template_chat.en.mdx | 12 ++++++------
 .../components/develop/template/template_chat.ja.mdx | 12 ++++++------
 .../components/develop/template/template_chat.zh.mdx |  6 +++---
 9 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/web/app/components/develop/template/template.en.mdx b/web/app/components/develop/template/template.en.mdx
index 31c812958f..75f044f780 100755
--- a/web/app/components/develop/template/template.en.mdx
+++ b/web/app/components/develop/template/template.en.mdx
@@ -396,7 +396,7 @@ The text generation application offers non-session support and is ideal for tran
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         For text messages generated by Dify, simply pass the generated message-id directly. The backend will use the message-id to look up the corresponding content and synthesize the voice information directly. If both message_id and text are provided simultaneously, the message_id is given priority.
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template.ja.mdx b/web/app/components/develop/template/template.ja.mdx
index 4670404277..50bf1e234b 100755
--- a/web/app/components/develop/template/template.ja.mdx
+++ b/web/app/components/develop/template/template.ja.mdx
@@ -192,8 +192,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -394,7 +394,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     ### リクエストボディ
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Difyが生成したテキストメッセージの場合、生成されたmessage-idを直接渡すだけです。バックエンドはmessage-idを使用して対応するコンテンツを検索し、音声情報を直接合成します。message_idとtextの両方が同時に提供された場合、message_idが優先されます。
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template.zh.mdx b/web/app/components/develop/template/template.zh.mdx
index d8cabb536d..ab4bbea477 100755
--- a/web/app/components/develop/template/template.zh.mdx
+++ b/web/app/components/develop/template/template.zh.mdx
@@ -370,7 +370,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Dify 生成的文本消息，那么直接传递生成的message-id 即可，后台会通过 message_id 查找相应的内容直接合成语音信息。如果同时传 message_id 和 text，优先使用 message_id。
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_advanced_chat.en.mdx b/web/app/components/develop/template/template_advanced_chat.en.mdx
index e905e9e0c6..c445164de4 100644
--- a/web/app/components/develop/template/template_advanced_chat.en.mdx
+++ b/web/app/components/develop/template/template_advanced_chat.en.mdx
@@ -290,8 +290,8 @@ Chat applications support session persistence, allowing previous chat history to
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -880,7 +880,7 @@ Chat applications support session persistence, allowing previous chat history to
     </CodeGroup>
 
     <CodeGroup title="Response">
-    ```json {{ text: 'hello' }}
+    ```json {{ title: 'Response' }}
     {
       "text": ""
     }
@@ -904,7 +904,7 @@ Chat applications support session persistence, allowing previous chat history to
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         For text messages generated by Dify, simply pass the generated message-id directly. The backend will use the message-id to look up the corresponding content and synthesize the voice information directly. If both message_id and text are provided simultaneously, the message_id is given priority.
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_advanced_chat.ja.mdx b/web/app/components/develop/template/template_advanced_chat.ja.mdx
index 08255b8882..a3d858ae7e 100644
--- a/web/app/components/develop/template/template_advanced_chat.ja.mdx
+++ b/web/app/components/develop/template/template_advanced_chat.ja.mdx
@@ -290,8 +290,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -879,7 +879,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     </CodeGroup>
 
     <CodeGroup title="応答">
-    ```json {{ text: 'hello' }}
+    ```json {{ title: '応答' }}
     {
       "text": ""
     }
@@ -903,7 +903,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     ### リクエストボディ
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Difyによって生成されたテキストメッセージの場合、生成されたメッセージIDを直接渡します。バックエンドはメッセージIDを使用して対応する内容を検索し、音声情報を直接合成します。message_idとtextが同時に提供される場合、message_idが優先されます。
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_advanced_chat.zh.mdx b/web/app/components/develop/template/template_advanced_chat.zh.mdx
index 8d181d7e0b..0a487a8a3e 100755
--- a/web/app/components/develop/template/template_advanced_chat.zh.mdx
+++ b/web/app/components/develop/template/template_advanced_chat.zh.mdx
@@ -300,8 +300,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -937,7 +937,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Dify 生成的文本消息，那么直接传递生成的message-id 即可，后台会通过 message_id 查找相应的内容直接合成语音信息。如果同时传 message_id 和 text，优先使用 message_id。
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_chat.en.mdx b/web/app/components/develop/template/template_chat.en.mdx
index 7de329a7a0..7331dda54b 100644
--- a/web/app/components/develop/template/template_chat.en.mdx
+++ b/web/app/components/develop/template/template_chat.en.mdx
@@ -240,8 +240,8 @@ Chat applications support session persistence, allowing previous chat history to
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -254,8 +254,8 @@ Chat applications support session persistence, allowing previous chat history to
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-    data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-    data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+    data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+    data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
     data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
     data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
     data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -913,7 +913,7 @@ Chat applications support session persistence, allowing previous chat history to
     </CodeGroup>
 
     <CodeGroup title="Response">
-    ```json {{ text: 'hello' }}
+    ```json {{ title: 'Response' }}
     {
       "text": ""
     }
@@ -937,7 +937,7 @@ Chat applications support session persistence, allowing previous chat history to
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         For text messages generated by Dify, simply pass the generated message-id directly. The backend will use the message-id to look up the corresponding content and synthesize the voice information directly. If both message_id and text are provided simultaneously, the message_id is given priority.
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_chat.ja.mdx b/web/app/components/develop/template/template_chat.ja.mdx
index 8107f6260a..78f21476ab 100644
--- a/web/app/components/develop/template/template_chat.ja.mdx
+++ b/web/app/components/develop/template/template_chat.ja.mdx
@@ -240,8 +240,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -254,8 +254,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
     data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-    data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-    data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+    data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+    data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
     data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
     data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
     data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -911,7 +911,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     </CodeGroup>
 
     <CodeGroup title="応答">
-    ```json {{ text: 'hello' }}
+    ```json {{ title: '応答' }}
     {
       "text": ""
     }
@@ -935,7 +935,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
     ### リクエストボディ
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Difyによって生成されたテキストメッセージの場合、生成されたメッセージIDを直接渡します。バックエンドはメッセージIDを使用して対応するコンテンツを検索し、音声情報を直接合成します。message_idとtextが同時に提供される場合、message_idが優先されます。
       </Property>
       <Property name='text' type='str' key='text'>
diff --git a/web/app/components/develop/template/template_chat.zh.mdx b/web/app/components/develop/template/template_chat.zh.mdx
index ec845970b4..e4a426462e 100644
--- a/web/app/components/develop/template/template_chat.zh.mdx
+++ b/web/app/components/develop/template/template_chat.zh.mdx
@@ -253,8 +253,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
       data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
-      data: {"event": "message", "message_id": : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
+      data: {"event": "message", "message_id" : "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
       data: {"event": "message_end", "id": "5e52ce04-874b-4d27-9045-b3bc80def685", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "metadata": {"usage": {"prompt_tokens": 1033, "prompt_unit_price": "0.001", "prompt_price_unit": "0.001", "prompt_price": "0.0010330", "completion_tokens": 135, "completion_unit_price": "0.002", "completion_price_unit": "0.001", "completion_price": "0.0002700", "total_tokens": 1168, "total_price": "0.0013030", "currency": "USD", "latency": 1.381760165997548}, "retriever_resources": [{"position": 1, "dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb", "dataset_name": "iPhone", "document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00", "document_name": "iPhone List", "segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a", "score": 0.98457545, "content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""}]}}
       data: {"event": "tts_message", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": "qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq"}
       data: {"event": "tts_message_end", "conversation_id": "23dd85f3-1a41-4ea0-b7a9-062734ccfaf9", "message_id": "a8bdc41c-13b2-4c18-bfd9-054b9803038c", "created_at": 1721205487, "task_id": "3bf8a0bb-e73b-4690-9e66-4e429bad8ee7", "audio": ""}
@@ -950,7 +950,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     ### Request Body
 
     <Properties>
-      <Property name='message_id' type='str' key='text'>
+      <Property name='message_id' type='str' key='message_id'>
         Dify 生成的文本消息，那么直接传递生成的message-id 即可，后台会通过 message_id 查找相应的内容直接合成语音信息。如果同时传 message_id 和 text，优先使用 message_id。
       </Property>
       <Property name='text' type='str' key='text'>

From f7959bc887934f5f35b7884ba2b1a7005b953d17 Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Sat, 8 Feb 2025 21:34:37 +0900
Subject: [PATCH 163/217] fix(chatbot): update button class to include text
 color for better visibility (#13411)

---
 .../base/chat/embedded-chatbot/config-panel/index.tsx           | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx b/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx
index 2cc46cadf8..375f61dec0 100644
--- a/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx
+++ b/web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx
@@ -78,7 +78,7 @@ const ConfigPanel = () => {
                   styleCss={CssTransform(themeBuilder.theme?.backgroundButtonDefaultColorStyle ?? '')}
                   variant='secondary-accent'
                   size='small'
-                  className='shrink-0'
+                  className='shrink-0 text-white'
                   onClick={() => setCollapsed(false)}
                 >
                   <Edit02 className='mr-1 w-3 h-3' />

From ab2e6c19a4178bdd4094542e5e2893c3c97fc4d1 Mon Sep 17 00:00:00 2001
From: MuYu <mr.muzea@gmail.com>
Date: Sat, 8 Feb 2025 20:34:52 +0800
Subject: [PATCH 164/217] Fixes #13415 reset model-provider-page form value use
 schema.default  (#13416)

---
 .../account-setting/model-provider-page/model-modal/Form.tsx   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
index c0a7be68a6..e8e92ca800 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
@@ -61,7 +61,8 @@ const Form: FC<FormProps> = ({
     const shouldClearVariable: Record<string, string | undefined> = {}
     if (showOnVariableMap[key]?.length) {
       showOnVariableMap[key].forEach((clearVariable) => {
-        shouldClearVariable[clearVariable] = undefined
+        const schema = formSchemas.find(it => it.variable === clearVariable)
+        shouldClearVariable[clearVariable] = schema ? schema.default : undefined
       })
     }
     onChange({ ...value, [key]: val, ...shouldClearVariable })

From 04513339909f0f2fc80366334548f065cc65543a Mon Sep 17 00:00:00 2001
From: aplio <ryo.091219@gmail.com>
Date: Sat, 8 Feb 2025 21:36:23 +0900
Subject: [PATCH 165/217] fix(settings): add notClearable prop to language
 selection (#13406)

---
 web/app/components/app/overview/settings/index.tsx | 1 +
 1 file changed, 1 insertion(+)

diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx
index f9d13b9272..b798be31c7 100644
--- a/web/app/components/app/overview/settings/index.tsx
+++ b/web/app/components/app/overview/settings/index.tsx
@@ -289,6 +289,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({
               items={languages.filter(item => item.supported)}
               defaultValue={language}
               onSelect={item => setLanguage(item.value as Language)}
+              notClearable
             />
           </div>
           {/* theme color */}

From b05e9d2ab4a871acea01a38cca2b2d3f7b40e988 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Sat, 8 Feb 2025 07:36:33 -0500
Subject: [PATCH 166/217] feat: update backend documentation (#13374)

---
 api/README.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/api/README.md b/api/README.md
index 6e9f2e8fbb..c3abc25be1 100644
--- a/api/README.md
+++ b/api/README.md
@@ -37,7 +37,13 @@
 
 4. Create environment.
 
-   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
+   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
+
+   ```bash
+   poetry self add poetry-plugin-shell
+   ```
+   
+   Then, You can execute `poetry shell` to activate the environment.
 
 5. Install dependencies
 

From 37117c22d4e7613bcee99dbb1a4f109daa122b14 Mon Sep 17 00:00:00 2001
From: Naoki Takashima <39912547+takatea@users.noreply.github.com>
Date: Sun, 9 Feb 2025 11:22:33 +0900
Subject: [PATCH 167/217] feat(model): support Gemini 2.0 Flash Lite Preview
 model (02-05) in Google's model provider (#13399)

---
 .../model_providers/google/llm/_position.yaml |  1 +
 .../gemini-2.0-flash-lite-preview-02-05.yaml  | 41 +++++++++++++++++++
 2 files changed, 42 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml

diff --git a/api/core/model_runtime/model_providers/google/llm/_position.yaml b/api/core/model_runtime/model_providers/google/llm/_position.yaml
index 07ede384b0..2b865834e1 100644
--- a/api/core/model_runtime/model_providers/google/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/_position.yaml
@@ -1,5 +1,6 @@
 - gemini-2.0-flash-001
 - gemini-2.0-flash-exp
+- gemini-2.0-flash-lite-preview-02-05
 - gemini-2.0-pro-exp-02-05
 - gemini-2.0-flash-thinking-exp-1219
 - gemini-2.0-flash-thinking-exp-01-21
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml
new file mode 100644
index 0000000000..9c0a1e0620
--- /dev/null
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml
@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-lite-preview-02-05
+label:
+  en_US: Gemini 2.0 Flash Lite Preview 0205
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

From c189629eca15657ec4d9b4fe00a5a6355d6159f8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=B5=B7=E7=8B=B8=E5=A4=A7=E5=B8=AB?=
 <86974027+yenslife@users.noreply.github.com>
Date: Sun, 9 Feb 2025 10:24:45 +0800
Subject: [PATCH 168/217] Fix(i18n): Refine zh-Hant workflow translations
 (#13421)

---
 web/i18n/zh-Hant/workflow.ts | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/web/i18n/zh-Hant/workflow.ts b/web/i18n/zh-Hant/workflow.ts
index 1bfc258317..c588c0748c 100644
--- a/web/i18n/zh-Hant/workflow.ts
+++ b/web/i18n/zh-Hant/workflow.ts
@@ -545,17 +545,17 @@ const translation = {
       'setVariable': '設定變數',
       'variable': '變數',
       'operations': {
-        'overwrite': '改寫',
+        'overwrite': '覆寫',
         '/=': '/=',
         'title': '操作',
         '*=': '*=',
         'extend': '擴展',
         '+=': '+=',
         'set': '設置',
-        'over-write': '改寫',
+        'over-write': '覆寫',
         '-=': '-=',
         'append': '附加',
-        'clear': '清楚',
+        'clear': '清除',
       },
       'noAssignedVars': '沒有可用的已分配變數',
       'variables': '變數',

From c3c575c2e1a8411ee4cb732a216443edb1b5078d Mon Sep 17 00:00:00 2001
From: Yi Xiao <54782454+YIXIAO0@users.noreply.github.com>
Date: Sun, 9 Feb 2025 10:24:57 +0800
Subject: [PATCH 169/217] Fix: model selector UI hover issue (#13396)

---
 .../model-provider-page/model-parameter-modal/trigger.tsx   | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
index ba632179d1..2f4552de0b 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
@@ -45,9 +45,9 @@ const Trigger: FC<TriggerProps> = ({
     <div
       className={cn(
         'relative flex items-center px-2 h-8 rounded-lg  cursor-pointer',
-        !isInWorkflow && 'border hover:border-[1.5px]',
-        !isInWorkflow && (disabled ? 'border-[#F79009] bg-[#FFFAEB]' : 'border-[#444CE7] bg-primary-50'),
-        isInWorkflow && 'pr-[30px] bg-gray-100 border border-gray-100  hover:border-gray-200',
+        !isInWorkflow && 'border ring-inset hover:ring-[0.5px]',
+        !isInWorkflow && (disabled ? 'border-text-warning ring-text-warning bg-state-warning-hover' : 'border-util-colors-indigo-indigo-600 ring-util-colors-indigo-indigo-600 bg-state-accent-hover'),
+        isInWorkflow && 'pr-[30px] bg-workflow-block-parma-bg border border-workflow-block-parma-bg  hover:border-gray-200',
       )}
     >
       {

From 811d72a727d68d0f329f083f3ac532f273e294e8 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Sat, 8 Feb 2025 21:29:07 -0500
Subject: [PATCH 170/217] feat: added a _position.yaml for vertex ai provider
 (#13367)

---
 .../vertex_ai/llm/_position.yaml              | 22 +++++++++++++++++++
 1 file changed, 22 insertions(+)
 create mode 100644 api/core/model_runtime/model_providers/vertex_ai/llm/_position.yaml

diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/_position.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/_position.yaml
new file mode 100644
index 0000000000..321a492323
--- /dev/null
+++ b/api/core/model_runtime/model_providers/vertex_ai/llm/_position.yaml
@@ -0,0 +1,22 @@
+- claude-3-haiku@20240307
+- claude-3-opus@20240229
+- claude-3-sonnet@20240229
+- claude-3-5-sonnet-v2@20241022
+- claude-3-5-sonnet@20240620
+- gemini-1.0-pro-vision-001
+- gemini-1.0-pro-002
+- gemini-1.5-flash-001
+- gemini-1.5-flash-002
+- gemini-1.5-pro-001
+- gemini-1.5-pro-002
+- gemini-2.0-flash-001
+- gemini-2.0-flash-exp
+- gemini-2.0-flash-lite-preview-02-05
+- gemini-2.0-flash-thinking-exp-01-21
+- gemini-2.0-flash-thinking-exp-1219
+- gemini-2.0-pro-exp-02-05
+- gemini-exp-1114
+- gemini-exp-1121
+- gemini-exp-1206
+- gemini-flash-experimental
+- gemini-pro-experimental

From e0d1cab07949c4b64e6d64856631c602290265d2 Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 10 Feb 2025 10:04:56 +0800
Subject: [PATCH 171/217] fix: add missed background color to iteration node
 (#13448)

---
 web/app/components/workflow/nodes/iteration/node.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/web/app/components/workflow/nodes/iteration/node.tsx b/web/app/components/workflow/nodes/iteration/node.tsx
index 63874f7d6c..7fe4a87803 100644
--- a/web/app/components/workflow/nodes/iteration/node.tsx
+++ b/web/app/components/workflow/nodes/iteration/node.tsx
@@ -43,7 +43,7 @@ const Node: FC<NodeProps<IterationNodeType>> = ({
 
   return (
     <div className={cn(
-      'relative min-w-[240px] min-h-[90px] w-full h-full rounded-2xl',
+      'relative min-w-[240px] min-h-[90px] w-full h-full rounded-2xl bg-workflow-canvas-workflow-bg',
     )}>
       <Background
         id={`iteration-background-${id}`}

From 33ecceb90c82446872a92ccb56c2c7b9d1dfd6d6 Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Sun, 9 Feb 2025 21:13:46 -0500
Subject: [PATCH 172/217] Feat: add comparison table to main readme (#13435)

---
 README.md    | 67 ++++++++++++++++++++++++++++++++++++++++++++++++++
 README_KL.md |  4 +--
 README_SI.md | 69 +++++++++++++++++++++++++++++++++++++++++++++++++++-
 3 files changed, 136 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 3920ff107c..8fbc5e55f1 100644
--- a/README.md
+++ b/README.md
@@ -108,7 +108,74 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
 **7. Backend-as-a-Service**: 
   All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
 
+## Feature Comparison
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Feature</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programming Approach</td>
+    <td align="center">API + App-oriented</td>
+    <td align="center">Python Code</td>
+    <td align="center">App-oriented</td>
+    <td align="center">API-oriented</td>
+  </tr>
+  <tr>
+    <td align="center">Supported LLMs</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">OpenAI-only</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observability</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Enterprise Feature (SSO/Access control)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Local Deployment</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
 
+You can copy and paste this into your Markdown file.
 ## Using Dify
 
 - **Cloud </br>**
diff --git a/README_KL.md b/README_KL.md
index 852382284b..c8cd22810e 100644
--- a/README_KL.md
+++ b/README_KL.md
@@ -87,9 +87,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
 
 ## Feature Comparison
 <table style="width: 100%;">
-  <tr
-
->
+  <tr>
     <th align="center">Feature</th>
     <th align="center">Dify.AI</th>
     <th align="center">LangChain</th>
diff --git a/README_SI.md b/README_SI.md
index 8e4f0fa6a6..29e2ad4fb5 100644
--- a/README_SI.md
+++ b/README_SI.md
@@ -106,6 +106,73 @@ Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-star
 **7. Backend-as-a-Service**: 
   AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
 
+## Primerjava Funkcij
+
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Funkcija</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programski pristop</td>
+    <td align="center">API + usmerjeno v aplikacije</td>
+    <td align="center">Python koda</td>
+    <td align="center">Usmerjeno v aplikacije</td>
+    <td align="center">Usmerjeno v API</td>
+  </tr>
+  <tr>
+    <td align="center">Podprti LLM-ji</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Samo OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG pogon</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Potek dela</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Spremljanje</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Lokalna namestitev</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
 
 ## Uporaba Dify
 
@@ -187,4 +254,4 @@ Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj
 
 ## Licenca
 
-To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
\ No newline at end of file
+To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

From f307c7cd889b0d8a6a13afb2f1113b0161d2e951 Mon Sep 17 00:00:00 2001
From: Summer-Gu <37869445+gubinjie@users.noreply.github.com>
Date: Mon, 10 Feb 2025 10:21:31 +0800
Subject: [PATCH 173/217] feat: Docker adds SSRF-related timeout settings
 (#13395)

---
 docker/.env.example        | 4 ++++
 docker/docker-compose.yaml | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/docker/.env.example b/docker/.env.example
index b21bdc7085..3bc79059dc 100644
--- a/docker/.env.example
+++ b/docker/.env.example
@@ -887,6 +887,10 @@ SSRF_HTTP_PORT=3128
 SSRF_COREDUMP_DIR=/var/spool/squid
 SSRF_REVERSE_PROXY_PORT=8194
 SSRF_SANDBOX_HOST=sandbox
+SSRF_DEFAULT_TIME_OUT=5
+SSRF_DEFAULT_CONNECT_TIME_OUT=5
+SSRF_DEFAULT_READ_TIME_OUT=5
+SSRF_DEFAULT_WRITE_TIME_OUT=5
 
 # ------------------------------
 # docker env var for specifying vector db type at startup
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 67207fd466..33379e4b8c 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -377,6 +377,10 @@ x-shared-env: &shared-api-worker-env
   SSRF_COREDUMP_DIR: ${SSRF_COREDUMP_DIR:-/var/spool/squid}
   SSRF_REVERSE_PROXY_PORT: ${SSRF_REVERSE_PROXY_PORT:-8194}
   SSRF_SANDBOX_HOST: ${SSRF_SANDBOX_HOST:-sandbox}
+  SSRF_DEFAULT_TIME_OUT: ${SSRF_DEFAULT_TIME_OUT:-5}
+  SSRF_DEFAULT_CONNECT_TIME_OUT: ${SSRF_DEFAULT_CONNECT_TIME_OUT:-5}
+  SSRF_DEFAULT_READ_TIME_OUT: ${SSRF_DEFAULT_READ_TIME_OUT:-5}
+  SSRF_DEFAULT_WRITE_TIME_OUT: ${SSRF_DEFAULT_WRITE_TIME_OUT:-5}
   EXPOSE_NGINX_PORT: ${EXPOSE_NGINX_PORT:-80}
   EXPOSE_NGINX_SSL_PORT: ${EXPOSE_NGINX_SSL_PORT:-443}
   POSITION_TOOL_PINS: ${POSITION_TOOL_PINS:-}

From 939a9ecd210c522b9935a8fb42a790e2173d97fb Mon Sep 17 00:00:00 2001
From: xhe <xw897002528@gmail.com>
Date: Mon, 10 Feb 2025 10:25:07 +0800
Subject: [PATCH 174/217] chore: use the wrap thinking api for volcengine
 (#13432)

Signed-off-by: xhe <xw897002528@gmail.com>
---
 .../__base/large_language_model.py            |  4 ++-
 .../volcengine_maas/llm/llm.py                | 29 ++++++++-----------
 2 files changed, 15 insertions(+), 18 deletions(-)

diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py
index f377f12919..710e168e4f 100644
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -419,7 +419,9 @@ if you are not sure about the structure.
                 is_reasoning = True
             else:
                 content = reasoning_content
-        elif is_reasoning:
+        elif is_reasoning and content:
+            # do not end reasoning when content is empty
+            # there may be more reasoning_content later that follows previous reasoning closely
             content = "\n</think>" + content
             is_reasoning = False
         return content, is_reasoning
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
index 83c534add8..d513d6b548 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
@@ -1,5 +1,4 @@
 import logging
-import re
 from collections.abc import Generator
 from typing import Optional
 
@@ -231,6 +230,17 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
             return _handle_chat_response()
         return _handle_stream_chat_response()
 
+    def wrap_thinking(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
+        content = ""
+        reasoning_content = None
+        if hasattr(delta, "content"):
+            content = delta.content
+        if hasattr(delta, "reasoning_content"):
+            reasoning_content = delta.reasoning_content
+        return self._wrap_thinking_by_reasoning_content(
+            {"content": content, "reasoning_content": reasoning_content}, is_reasoning
+        )
+
     def _generate_v3(
         self,
         model: str,
@@ -253,22 +263,7 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
                 content = ""
                 if chunk.choices:
                     delta = chunk.choices[0].delta
-                    if is_reasoning_started and not hasattr(delta, "reasoning_content") and not delta.content:
-                        content = ""
-                    elif hasattr(delta, "reasoning_content"):
-                        if not is_reasoning_started:
-                            is_reasoning_started = True
-                            content = "> 💭 " + delta.reasoning_content
-                        else:
-                            content = delta.reasoning_content
-
-                        if "\n" in content:
-                            content = re.sub(r"\n(?!(>|\n))", "\n> ", content)
-                    elif is_reasoning_started:
-                        content = "\n\n" + delta.content
-                        is_reasoning_started = False
-                    else:
-                        content = delta.content
+                    content, is_reasoning_started = self.wrap_thinking(delta, is_reasoning_started)
 
                 yield LLMResultChunk(
                     model=model,

From 75113c26c668084f5725d076b06537c4f0bc4e6e Mon Sep 17 00:00:00 2001
From: Fei He <droxer.he@gmail.com>
Date: Mon, 10 Feb 2025 10:26:03 +0800
Subject: [PATCH 175/217] Feat : add deepseek support for tongyi (#13445)

---
 .../model_providers/tongyi/llm/_position.yaml |  4 ++
 .../llm/deepseek-r1-distill-qwen-14B.yaml     | 21 ++++++++
 .../llm/deepseek-r1-distill-qwen-32B.yaml     | 21 ++++++++
 .../tongyi/llm/deepseek-r1.yaml               | 21 ++++++++
 .../tongyi/llm/deepseek-v3.yaml               | 52 +++++++++++++++++++
 .../model_providers/tongyi/llm/llm.py         | 12 +++--
 6 files changed, 128 insertions(+), 3 deletions(-)
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml
 create mode 100644 api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml

diff --git a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
index d7ba51e1d9..785ddeb494 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
@@ -1,3 +1,7 @@
+- deepseek-r1
+- deepseek-r1-distill-qwen-14b
+- deepseek-r1-distill-qwen-32b
+- deepseek-v3
 - qwen-vl-max-0809
 - qwen-vl-max-0201
 - qwen-vl-max
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml
new file mode 100644
index 0000000000..2bce8805c6
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-r1-distill-qwen-14b
+label:
+  zh_Hans: DeepSeek-R1-Distill-Qwen-14B
+  en_US: DeepSeek-R1-Distill-Qwen-14B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.001"
+  output: "0.003"
+  unit: "0.001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml
new file mode 100644
index 0000000000..dfc155ff6a
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml
@@ -0,0 +1,21 @@
+model: deepseek-r1-distill-qwen-32b
+label:
+  zh_Hans: DeepSeek-R1-Distill-Qwen-32B
+  en_US: DeepSeek-R1-Distill-Qwen-32B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.002"
+  output: "0.006"
+  unit: "0.001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml
new file mode 100644
index 0000000000..742e7f0001
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml
@@ -0,0 +1,21 @@
+model: deepseek-r1
+label:
+  zh_Hans: DeepSeek-R1
+  en_US: DeepSeek-R1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "0.004"
+  output: "0.016"
+  unit: '0.001'
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml
new file mode 100644
index 0000000000..23f38d60d3
--- /dev/null
+++ b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml
@@ -0,0 +1,52 @@
+model: deepseek-v3
+label:
+  zh_Hans: DeepSeek-V3
+  en_US: DeepSeek-V3
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 512
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: "0.002"
+  output: "0.008"
+  unit: "0.001"
+  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
index 75c62a9080..1dce372bba 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
@@ -197,8 +197,7 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         else:
             # nothing different between chat model and completion model in tongyi
             params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages)
-            response = Generation.call(**params, result_format="message", stream=stream)
-
+            response = Generation.call(**params, result_format="message", stream=stream, incremental_output=True)
         if stream:
             return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
 
@@ -258,6 +257,9 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         """
         full_text = ""
         tool_calls = []
+        is_reasoning_started = False
+        # for index, response in enumerate(responses):
+        index = 0
         for index, response in enumerate(responses):
             if response.status_code not in {200, HTTPStatus.OK}:
                 raise ServiceUnavailableError(
@@ -311,7 +313,11 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
                     ),
                 )
             else:
-                resp_content = response.output.choices[0].message.content
+                message = response.output.choices[0].message
+
+                resp_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
+                    message, is_reasoning_started
+                )
                 if not resp_content:
                     if "tool_calls" in response.output.choices[0].message:
                         tool_calls = response.output.choices[0].message["tool_calls"]

From 7796984444191c639bd3c541a44e832b17ad1cae Mon Sep 17 00:00:00 2001
From: Fei He <droxer.he@gmail.com>
Date: Mon, 10 Feb 2025 10:26:26 +0800
Subject: [PATCH 176/217] Fix: Removed model params except max_token for
 deepseek r1 in volcengine (#13446)

---
 .../volcengine_maas/llm/llm.py                | 109 ++++++++++--------
 1 file changed, 63 insertions(+), 46 deletions(-)

diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
index d513d6b548..ac2805f7d4 100644
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
+++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
@@ -328,54 +328,71 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
         """
         model_config = get_model_config(credentials)
 
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="top_k", type=ParameterType.INT, min=1, default=1, label=I18nObject(zh_Hans="Top K", en_US="Top K")
-            ),
-            ParameterRule(
-                name="presence_penalty",
-                type=ParameterType.FLOAT,
-                use_template="presence_penalty",
-                label=I18nObject(
-                    en_US="Presence Penalty",
-                    zh_Hans="存在惩罚",
+        if model.startswith("DeepSeek-R1"):
+            rules = [
+                ParameterRule(
+                    name="max_tokens",
+                    type=ParameterType.INT,
+                    use_template="max_tokens",
+                    min=1,
+                    max=model_config.properties.max_tokens,
+                    default=512,
+                    label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
                 ),
-                min=-2.0,
-                max=2.0,
-            ),
-            ParameterRule(
-                name="frequency_penalty",
-                type=ParameterType.FLOAT,
-                use_template="frequency_penalty",
-                label=I18nObject(
-                    en_US="Frequency Penalty",
-                    zh_Hans="频率惩罚",
+            ]
+        else:
+            rules = [
+                ParameterRule(
+                    name="temperature",
+                    type=ParameterType.FLOAT,
+                    use_template="temperature",
+                    label=I18nObject(zh_Hans="温度", en_US="Temperature"),
                 ),
-                min=-2.0,
-                max=2.0,
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                max=model_config.properties.max_tokens,
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
+                ParameterRule(
+                    name="top_p",
+                    type=ParameterType.FLOAT,
+                    use_template="top_p",
+                    label=I18nObject(zh_Hans="Top P", en_US="Top P"),
+                ),
+                ParameterRule(
+                    name="top_k",
+                    type=ParameterType.INT,
+                    min=1,
+                    default=1,
+                    label=I18nObject(zh_Hans="Top K", en_US="Top K"),
+                ),
+                ParameterRule(
+                    name="presence_penalty",
+                    type=ParameterType.FLOAT,
+                    use_template="presence_penalty",
+                    label=I18nObject(
+                        en_US="Presence Penalty",
+                        zh_Hans="存在惩罚",
+                    ),
+                    min=-2.0,
+                    max=2.0,
+                ),
+                ParameterRule(
+                    name="frequency_penalty",
+                    type=ParameterType.FLOAT,
+                    use_template="frequency_penalty",
+                    label=I18nObject(
+                        en_US="Frequency Penalty",
+                        zh_Hans="频率惩罚",
+                    ),
+                    min=-2.0,
+                    max=2.0,
+                ),
+                ParameterRule(
+                    name="max_tokens",
+                    type=ParameterType.INT,
+                    use_template="max_tokens",
+                    min=1,
+                    max=model_config.properties.max_tokens,
+                    default=512,
+                    label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
+                ),
+            ]
 
         model_properties = {}
         model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size

From 2290f14fb1cb718a93ed346878ce73c8008ac66f Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 10 Feb 2025 10:44:20 +0800
Subject: [PATCH 177/217] feat: add tooltip if user's anthropic trial quota
 still available (#13418)

---
 web/app/components/base/toast/index.tsx |  7 ++++--
 web/context/provider-context.tsx        | 30 +++++++++++++++++++++++++
 web/i18n/en-US/common.ts                |  1 +
 web/i18n/ja-JP/common.ts                |  1 +
 web/i18n/zh-Hans/common.ts              |  1 +
 5 files changed, 38 insertions(+), 2 deletions(-)

diff --git a/web/app/components/base/toast/index.tsx b/web/app/components/base/toast/index.tsx
index ba7d8af518..3b2004aab3 100644
--- a/web/app/components/base/toast/index.tsx
+++ b/web/app/components/base/toast/index.tsx
@@ -122,7 +122,8 @@ Toast.notify = ({
   duration,
   className,
   customComponent,
-}: Pick<IToastProps, 'type' | 'size' | 'message' | 'duration' | 'className' | 'customComponent'>) => {
+  onClose,
+}: Pick<IToastProps, 'type' | 'size' | 'message' | 'duration' | 'className' | 'customComponent' | 'onClose'>) => {
   const defaultDuring = (type === 'success' || type === 'info') ? 3000 : 6000
   if (typeof window === 'object') {
     const holder = document.createElement('div')
@@ -130,12 +131,13 @@ Toast.notify = ({
 
     root.render(
       <ToastContext.Provider value={{
-        notify: () => {},
+        notify: () => { },
         close: () => {
           if (holder) {
             root.unmount()
             holder.remove()
           }
+          onClose?.()
         },
       }}>
         <Toast type={type} size={size} message={message} duration={duration} className={className} customComponent={customComponent} />
@@ -147,6 +149,7 @@ Toast.notify = ({
         root.unmount()
         holder.remove()
       }
+      onClose?.()
     }, duration || defaultDuring)
   }
 }
diff --git a/web/context/provider-context.tsx b/web/context/provider-context.tsx
index 75747ba79c..b24c023661 100644
--- a/web/context/provider-context.tsx
+++ b/web/context/provider-context.tsx
@@ -3,12 +3,15 @@
 import { createContext, useContext, useContextSelector } from 'use-context-selector'
 import useSWR from 'swr'
 import { useEffect, useState } from 'react'
+import dayjs from 'dayjs'
+import { useTranslation } from 'react-i18next'
 import {
   fetchModelList,
   fetchModelProviders,
   fetchSupportRetrievalMethods,
 } from '@/service/common'
 import {
+  CurrentSystemQuotaTypeEnum,
   ModelStatusEnum,
   ModelTypeEnum,
 } from '@/app/components/header/account-setting/model-provider-page/declarations'
@@ -18,6 +21,7 @@ import { Plan, type UsagePlanInfo } from '@/app/components/billing/type'
 import { fetchCurrentPlanInfo } from '@/service/billing'
 import { parseCurrentPlan } from '@/app/components/billing/utils'
 import { defaultPlan } from '@/app/components/billing/config'
+import Toast from '@/app/components/base/toast'
 
 type ProviderContextState = {
   modelProviders: ModelProvider[]
@@ -110,6 +114,32 @@ export const ProviderContextProvider = ({
     fetchPlan()
   }, [])
 
+  const { t } = useTranslation()
+  useEffect(() => {
+    if (localStorage.getItem('anthropic_quota_notice') === 'true')
+      return
+
+    if (dayjs().isAfter(dayjs('2025-03-10')))
+      return
+
+    if (providersData?.data && providersData.data.length > 0) {
+      const anthropic = providersData.data.find(provider => provider.provider === 'anthropic')
+      if (anthropic && anthropic.system_configuration.current_quota_type === CurrentSystemQuotaTypeEnum.trial) {
+        const quota = anthropic.system_configuration.quota_configurations.find(item => item.quota_type === anthropic.system_configuration.current_quota_type)
+        if (quota && quota.is_valid && quota.quota_used < quota.quota_limit) {
+          Toast.notify({
+            type: 'info',
+            message: t('common.provider.anthropicHosted.trialQuotaTip'),
+            duration: 6000,
+            onClose: () => {
+              localStorage.setItem('anthropic_quota_notice', 'true')
+            },
+          })
+        }
+      }
+    }
+  }, [providersData, t])
+
   return (
     <ProviderContext.Provider value={{
       modelProviders: providersData?.data || [],
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index 018401aa56..90b562362a 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -290,6 +290,7 @@ const translation = {
       usedUp: 'Trial quota used up. Add own Model Provider.',
       useYourModel: 'Currently using own Model Provider.',
       close: 'Close',
+      trialQuotaTip: 'Your Anthropic trial quota will expire on 2025/03/10 and will no longer be available thereafter. Please make use of it in time.',
     },
     anthropic: {
       using: 'The embedding capability is using',
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index 87ed2afc94..e54c3af509 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'トライアルクォータが使い果たされました。独自のモデルプロバイダを追加してください。',
       useYourModel: '現在、独自のモデルプロバイダを使用しています。',
       close: '閉じる',
+      trialQuotaTip: 'お客様の Anthropic 試用枠は 2025/03/10 に失効し、その後は利用できなくなります。お早めにご利用ください。',
     },
     anthropic: {
       using: '埋め込み機能は使用中です',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 5ce1cb1385..1a2c96b17e 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -290,6 +290,7 @@ const translation = {
       usedUp: '试用额度已用完，请在下方添加自己的模型供应商',
       useYourModel: '当前正在使用你自己的模型供应商。',
       close: '关闭',
+      trialQuotaTip: '您的 Anthropic 体验额度将于 2025/03/10 过期，过期后将无法使用，请尽快体验。',
     },
     anthropic: {
       using: '嵌入能力正在使用',

From c8357da13ba867730a85671c032403ac1da75c10 Mon Sep 17 00:00:00 2001
From: ybalbert001 <120714773+ybalbert001@users.noreply.github.com>
Date: Mon, 10 Feb 2025 12:25:04 +0800
Subject: [PATCH 178/217] =?UTF-8?q?[Fix]=20Sagemaker=20LLM=20Provider=20ca?=
 =?UTF-8?q?n't=20adjust=20context=20size,=20it'a=20always=202=E2=80=A6=20(?=
 =?UTF-8?q?#13462)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: Yuanbo Li <ybalbert@amazon.com>
---
 .../model_providers/sagemaker/llm/llm.py            |  4 ++--
 .../model_providers/sagemaker/sagemaker.yaml        | 13 +++++++++++++
 2 files changed, 15 insertions(+), 2 deletions(-)

diff --git a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py b/api/core/model_runtime/model_providers/sagemaker/llm/llm.py
index b8c979b1f5..3f12a68201 100644
--- a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py
+++ b/api/core/model_runtime/model_providers/sagemaker/llm/llm.py
@@ -430,7 +430,7 @@ class SageMakerLargeLanguageModel(LargeLanguageModel):
                 type=ParameterType.INT,
                 use_template="max_tokens",
                 min=1,
-                max=credentials.get("context_length", 2048),
+                max=int(credentials.get("context_length", 2048)),
                 default=512,
                 label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
             ),
@@ -448,7 +448,7 @@ class SageMakerLargeLanguageModel(LargeLanguageModel):
         if support_vision:
             features.append(ModelFeature.VISION)
 
-        context_length = credentials.get("context_length", 2048)
+        context_length = int(credentials.get("context_length", 2048))
 
         entity = AIModelEntity(
             model=model,
diff --git a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml b/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml
index 87cd50f50c..c4c94ea409 100644
--- a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml
+++ b/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml
@@ -59,6 +59,19 @@ model_credential_schema:
       placeholder:
         zh_Hans: 请输出你的Sagemaker推理端点
         en_US: Enter your Sagemaker Inference endpoint
+    - variable: context_length
+      show_on:
+        - variable: __model_type
+          value: llm
+      label:
+        zh_Hans: 模型上下文长度
+        en_US: Model context size
+      type: text-input
+      default: '4096'
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的模型上下文长度
+        en_US: Enter your Model context size
     - variable: audio_s3_cache_bucket
       show_on:
         - variable: __model_type

From 9f3fc7ebf8c3b89426e25768604485e2402a6900 Mon Sep 17 00:00:00 2001
From: yihong <zouzou0208@gmail.com>
Date: Mon, 10 Feb 2025 12:26:08 +0800
Subject: [PATCH 179/217] ci: make ci safe using zizmor (#13397)

Signed-off-by: yihong0618 <zouzou0208@gmail.com>
---
 .github/workflows/api-tests.yml                   |  3 +++
 .github/workflows/build-push.yml                  | 15 +++++++++++----
 .github/workflows/db-migration-test.yml           |  3 +++
 .github/workflows/style.yml                       | 12 ++++++++++++
 .github/workflows/tool-test-sdks.yaml             |  3 +++
 .../workflows/translate-i18n-base-on-english.yml  |  1 +
 .github/workflows/vdb-tests.yml                   |  3 +++
 .github/workflows/web-tests.yml                   |  3 +++
 8 files changed, 39 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml
index 98075c97cd..b6f6012760 100644
--- a/.github/workflows/api-tests.yml
+++ b/.github/workflows/api-tests.yml
@@ -26,6 +26,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Setup Poetry and Python ${{ matrix.python-version }}
         uses: ./.github/actions/setup-poetry
diff --git a/.github/workflows/build-push.yml b/.github/workflows/build-push.yml
index 8e5279fb67..49ab983778 100644
--- a/.github/workflows/build-push.yml
+++ b/.github/workflows/build-push.yml
@@ -79,10 +79,12 @@ jobs:
           cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
 
       - name: Export digest
+        env:
+          DIGEST: ${{ steps.build.outputs.digest }}
         run: |
           mkdir -p /tmp/digests
-          digest="${{ steps.build.outputs.digest }}"
-          touch "/tmp/digests/${digest#sha256:}"
+          sanitized_digest=${DIGEST#sha256:}
+          touch "/tmp/digests/${sanitized_digest}"
 
       - name: Upload digest
         uses: actions/upload-artifact@v4
@@ -132,10 +134,15 @@ jobs:
 
       - name: Create manifest list and push
         working-directory: /tmp/digests
+        env:
+          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
         run: |
           docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
-            $(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
+            $(printf "$IMAGE_NAME@sha256:%s " *)
 
       - name: Inspect image
+        env:
+          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
+          IMAGE_VERSION: ${{ steps.meta.outputs.version }}
         run: |
-          docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}
+          docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml
index 3d881c4c3d..3328e4890a 100644
--- a/.github/workflows/db-migration-test.yml
+++ b/.github/workflows/db-migration-test.yml
@@ -19,6 +19,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Setup Poetry and Python
         uses: ./.github/actions/setup-poetry
diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
index c80037195a..76486b68e7 100644
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -17,6 +17,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
@@ -59,6 +62,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
@@ -89,6 +95,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
@@ -117,6 +126,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
diff --git a/.github/workflows/tool-test-sdks.yaml b/.github/workflows/tool-test-sdks.yaml
index fb4bcb9d66..76d8501451 100644
--- a/.github/workflows/tool-test-sdks.yaml
+++ b/.github/workflows/tool-test-sdks.yaml
@@ -26,6 +26,9 @@ jobs:
 
     steps:
       - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Use Node.js ${{ matrix.node-version }}
         uses: actions/setup-node@v4
diff --git a/.github/workflows/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml
index 3f51b3b2c7..c63a8f5d6c 100644
--- a/.github/workflows/translate-i18n-base-on-english.yml
+++ b/.github/workflows/translate-i18n-base-on-english.yml
@@ -16,6 +16,7 @@ jobs:
       - uses: actions/checkout@v4
         with:
           fetch-depth: 2 # last 2 commits
+          persist-credentials: false
 
       - name: Check for file changes in i18n/en-US
         id: check_files
diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml
index fab0b8c426..b18316bcd6 100644
--- a/.github/workflows/vdb-tests.yml
+++ b/.github/workflows/vdb-tests.yml
@@ -28,6 +28,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Setup Poetry and Python ${{ matrix.python-version }}
         uses: ./.github/actions/setup-poetry
diff --git a/.github/workflows/web-tests.yml b/.github/workflows/web-tests.yml
index 5aee64b8e6..81968d7b71 100644
--- a/.github/workflows/web-tests.yml
+++ b/.github/workflows/web-tests.yml
@@ -22,6 +22,9 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
 
       - name: Check changed files
         id: changed-files

From 33990426c139730045295c6a0bd9a15844031f15 Mon Sep 17 00:00:00 2001
From: Wu Tianwei <30284043+WTW0313@users.noreply.github.com>
Date: Mon, 10 Feb 2025 12:28:36 +0800
Subject: [PATCH 180/217] fix: add ids in FetchDatasetsParams (#13459)

---
 web/models/datasets.ts | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/web/models/datasets.ts b/web/models/datasets.ts
index 170fe1911f..0a5a7eccfe 100644
--- a/web/models/datasets.ts
+++ b/web/models/datasets.ts
@@ -140,9 +140,10 @@ export type FetchDatasetsParams = {
   url: string
   params: {
     page: number
+    ids?: string[]
     tag_ids?: string[]
-    limit: number
-    include_all: boolean
+    limit?: number
+    include_all?: boolean
     keyword?: string
   }
 }

From 7d958635f095e11dd442ed24eeea6a120bdb3ce0 Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 10 Feb 2025 12:53:59 +0800
Subject: [PATCH 181/217] Fix/add trial expire tip time (#13464)

---
 web/context/provider-context.tsx | 4 ++--
 web/i18n/en-US/common.ts         | 2 +-
 web/i18n/ja-JP/common.ts         | 2 +-
 web/i18n/zh-Hans/common.ts       | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/web/context/provider-context.tsx b/web/context/provider-context.tsx
index b24c023661..913a95d6a1 100644
--- a/web/context/provider-context.tsx
+++ b/web/context/provider-context.tsx
@@ -119,7 +119,7 @@ export const ProviderContextProvider = ({
     if (localStorage.getItem('anthropic_quota_notice') === 'true')
       return
 
-    if (dayjs().isAfter(dayjs('2025-03-10')))
+    if (dayjs().isAfter(dayjs('2025-03-11')))
       return
 
     if (providersData?.data && providersData.data.length > 0) {
@@ -130,7 +130,7 @@ export const ProviderContextProvider = ({
           Toast.notify({
             type: 'info',
             message: t('common.provider.anthropicHosted.trialQuotaTip'),
-            duration: 6000,
+            duration: 60000,
             onClose: () => {
               localStorage.setItem('anthropic_quota_notice', 'true')
             },
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index 90b562362a..822c4030fc 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -290,7 +290,7 @@ const translation = {
       usedUp: 'Trial quota used up. Add own Model Provider.',
       useYourModel: 'Currently using own Model Provider.',
       close: 'Close',
-      trialQuotaTip: 'Your Anthropic trial quota will expire on 2025/03/10 and will no longer be available thereafter. Please make use of it in time.',
+      trialQuotaTip: 'Your Anthropic trial quota will expire on 2025/03/11 and will no longer be available thereafter. Please make use of it in time.',
     },
     anthropic: {
       using: 'The embedding capability is using',
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index e54c3af509..ba52dfcf1e 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -291,7 +291,7 @@ const translation = {
       usedUp: 'トライアルクォータが使い果たされました。独自のモデルプロバイダを追加してください。',
       useYourModel: '現在、独自のモデルプロバイダを使用しています。',
       close: '閉じる',
-      trialQuotaTip: 'お客様の Anthropic 試用枠は 2025/03/10 に失効し、その後は利用できなくなります。お早めにご利用ください。',
+      trialQuotaTip: 'お客様の Anthropic 試用枠は 2025/03/11 に失効し、その後は利用できなくなります。お早めにご利用ください。',
     },
     anthropic: {
       using: '埋め込み機能は使用中です',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 1a2c96b17e..1022155c89 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -290,7 +290,7 @@ const translation = {
       usedUp: '试用额度已用完，请在下方添加自己的模型供应商',
       useYourModel: '当前正在使用你自己的模型供应商。',
       close: '关闭',
-      trialQuotaTip: '您的 Anthropic 体验额度将于 2025/03/10 过期，过期后将无法使用，请尽快体验。',
+      trialQuotaTip: '您的 Anthropic 体验额度将于 2025/03/11 过期，过期后将无法使用，请尽快体验。',
     },
     anthropic: {
       using: '嵌入能力正在使用',

From 5ffc58d6ca3473b958185e312abecfbde0d63c62 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= <hjlarry@163.com>
Date: Mon, 10 Feb 2025 14:08:17 +0800
Subject: [PATCH 182/217] feat: improve think content display (#13431)

---
 .../base/markdown-blocks/think-block.tsx      | 98 +++++++++++++++++++
 web/app/components/base/markdown.tsx          |  8 +-
 web/i18n/en-US/common.ts                      |  2 +
 web/i18n/zh-Hans/common.ts                    |  2 +
 4 files changed, 106 insertions(+), 4 deletions(-)
 create mode 100644 web/app/components/base/markdown-blocks/think-block.tsx

diff --git a/web/app/components/base/markdown-blocks/think-block.tsx b/web/app/components/base/markdown-blocks/think-block.tsx
new file mode 100644
index 0000000000..fbe453db86
--- /dev/null
+++ b/web/app/components/base/markdown-blocks/think-block.tsx
@@ -0,0 +1,98 @@
+import React, { useEffect, useRef, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+
+const hasEndThink = (children: any): boolean => {
+  if (typeof children === 'string')
+    return children.includes('[ENDTHINKFLAG]')
+
+  if (Array.isArray(children))
+    return children.some(child => hasEndThink(child))
+
+  if (children?.props?.children)
+    return hasEndThink(children.props.children)
+
+  return false
+}
+
+const removeEndThink = (children: any): any => {
+  if (typeof children === 'string')
+    return children.replace('[ENDTHINKFLAG]', '')
+
+  if (Array.isArray(children))
+    return children.map(child => removeEndThink(child))
+
+  if (children?.props?.children) {
+    return React.cloneElement(
+      children,
+      {
+        ...children.props,
+        children: removeEndThink(children.props.children),
+      },
+    )
+  }
+
+  return children
+}
+
+const useThinkTimer = (children: any) => {
+  const [startTime] = useState(Date.now())
+  const [elapsedTime, setElapsedTime] = useState(0)
+  const [isComplete, setIsComplete] = useState(false)
+  const timerRef = useRef<NodeJS.Timeout>()
+
+  useEffect(() => {
+    timerRef.current = setInterval(() => {
+      if (!isComplete)
+        setElapsedTime(Math.floor((Date.now() - startTime) / 100) / 10)
+    }, 100)
+
+    return () => {
+      if (timerRef.current)
+        clearInterval(timerRef.current)
+    }
+  }, [startTime, isComplete])
+
+  useEffect(() => {
+    if (hasEndThink(children)) {
+      setIsComplete(true)
+      if (timerRef.current)
+        clearInterval(timerRef.current)
+    }
+  }, [children])
+
+  return { elapsedTime, isComplete }
+}
+
+export const ThinkBlock = ({ children, ...props }: any) => {
+  const { elapsedTime, isComplete } = useThinkTimer(children)
+  const displayContent = removeEndThink(children)
+  const { t } = useTranslation()
+
+  return (
+    <details {...(!isComplete && { open: true })} className="group">
+      <summary className="text-gray-500 font-bold list-none pl-2 flex items-center cursor-pointer select-none whitespace-nowrap">
+        <div className="flex-shrink-0 flex items-center">
+          <svg
+            className="w-3 h-3 mr-2 transform transition-transform duration-500 group-open:rotate-90"
+            fill="none"
+            stroke="currentColor"
+            viewBox="0 0 24 24"
+          >
+            <path
+              strokeLinecap="round"
+              strokeLinejoin="round"
+              strokeWidth={2}
+              d="M9 5l7 7-7 7"
+            />
+          </svg>
+          {isComplete ? `${t('common.chat.thought')}(${elapsedTime.toFixed(1)}s)` : `${t('common.chat.thinking')}(${elapsedTime.toFixed(1)}s)`}
+        </div>
+      </summary>
+      <div className="text-gray-500 p-3 ml-2 bg-gray-50 border-l border-gray-300">
+        {displayContent}
+      </div>
+    </details>
+  )
+}
+
+export default ThinkBlock
diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx
index b98df4b7b2..fc2e4184db 100644
--- a/web/app/components/base/markdown.tsx
+++ b/web/app/components/base/markdown.tsx
@@ -22,6 +22,7 @@ import AudioGallery from '@/app/components/base/audio-gallery'
 import SVGRenderer from '@/app/components/base/svg-gallery'
 import MarkdownButton from '@/app/components/base/markdown-blocks/button'
 import MarkdownForm from '@/app/components/base/markdown-blocks/form'
+import ThinkBlock from '@/app/components/base/markdown-blocks/think-block'
 
 // Available language https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_HLJS.MD
 const capitalizationLanguageNameMap: Record<string, string> = {
@@ -72,10 +73,8 @@ const preprocessThinkTag = (content: string) => {
     return content
 
   return flow([
-    (str: string) => str.replace('<think>\n', '<details open><summary class="text-gray-500 font-bold">Thinking</summary><div class="text-gray-500 p-3 ml-2 bg-gray-50 border-l border-gray-300">\n'),
-    (str: string) => str.includes('\n</think>')
-      ? str.replace('\n</think>', '\n</div></details>')
-      : `${str}\n</div></details>`,
+    (str: string) => str.replace('<think>\n', '<details>\n'),
+    (str: string) => str.replace('\n</think>', '\n[ENDTHINKFLAG]</details>'),
   ])(content)
 }
 
@@ -281,6 +280,7 @@ export function Markdown(props: { content: string; className?: string }) {
           button: MarkdownButton,
           form: MarkdownForm,
           script: ScriptBlock,
+          details: ThinkBlock,
         }}
         linkTarget='_blank'
       >
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index 822c4030fc..b66b1d1cb4 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -531,6 +531,8 @@ const translation = {
       hitScore: 'Retrieval Score:',
     },
     inputPlaceholder: 'Talk to Bot',
+    thinking: 'Thinking...',
+    thought: 'Thought',
   },
   promptEditor: {
     placeholder: 'Write your prompt word here, enter \'{\' to insert a variable, enter \'/\' to insert a prompt content block',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 1022155c89..ea5d82b73e 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -531,6 +531,8 @@ const translation = {
       hitScore: '召回得分：',
     },
     inputPlaceholder: '和机器人聊天',
+    thinking: '深度思考中...',
+    thought: '已深度思考',
   },
   promptEditor: {
     placeholder: '在这里写你的提示词，输入\'{\' 插入变量、输入\'/\' 插入提示内容块',

From f48fa3e4e89446d098b329bef20b68a9e6b4a82f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 10 Feb 2025 14:14:15 +0800
Subject: [PATCH 183/217] chore: translate i18n files (#13452)

Co-authored-by: douxc <7553076+douxc@users.noreply.github.com>
---
 web/i18n/de-DE/common.ts   | 1 +
 web/i18n/es-ES/common.ts   | 1 +
 web/i18n/fa-IR/common.ts   | 1 +
 web/i18n/fr-FR/common.ts   | 1 +
 web/i18n/hi-IN/common.ts   | 1 +
 web/i18n/it-IT/common.ts   | 1 +
 web/i18n/ko-KR/common.ts   | 1 +
 web/i18n/pl-PL/common.ts   | 1 +
 web/i18n/pt-BR/common.ts   | 1 +
 web/i18n/ro-RO/common.ts   | 1 +
 web/i18n/ru-RU/common.ts   | 1 +
 web/i18n/sl-SI/common.ts   | 1 +
 web/i18n/th-TH/common.ts   | 1 +
 web/i18n/tr-TR/common.ts   | 1 +
 web/i18n/uk-UA/common.ts   | 1 +
 web/i18n/vi-VN/common.ts   | 1 +
 web/i18n/zh-Hant/common.ts | 1 +
 17 files changed, 17 insertions(+)

diff --git a/web/i18n/de-DE/common.ts b/web/i18n/de-DE/common.ts
index 782d80330b..f96fdcb430 100644
--- a/web/i18n/de-DE/common.ts
+++ b/web/i18n/de-DE/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Testkontingent aufgebraucht. Eigenen Modellanbieter hinzufügen.',
       useYourModel: 'Derzeit wird eigener Modellanbieter verwendet.',
       close: 'Schließen',
+      trialQuotaTip: 'Ihr Anthropic-Testkontingent läuft am 11.03.2025 ab und steht danach nicht mehr zur Verfügung. Bitte machen Sie rechtzeitig davon Gebrauch.',
     },
     anthropic: {
       using: 'Die Einbettungsfähigkeit verwendet',
diff --git a/web/i18n/es-ES/common.ts b/web/i18n/es-ES/common.ts
index 469acd73b0..e84ecdd116 100644
--- a/web/i18n/es-ES/common.ts
+++ b/web/i18n/es-ES/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'Cuota de prueba agotada. Agrega tu propio proveedor de modelos.',
       useYourModel: 'Actualmente usando tu propio proveedor de modelos.',
       close: 'Cerrar',
+      trialQuotaTip: 'Su cuota de prueba antrópica caducará el 11/03/2025 y ya no estará disponible a partir de entonces. Por favor, aprovéchelo a tiempo.',
     },
     anthropic: {
       using: 'La capacidad de incrustación está usando',
diff --git a/web/i18n/fa-IR/common.ts b/web/i18n/fa-IR/common.ts
index fb8cad28c2..4e2ae0076a 100644
--- a/web/i18n/fa-IR/common.ts
+++ b/web/i18n/fa-IR/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'سهمیه آزمایشی تمام شده است. ارائه‌دهنده مدل خود را اضافه کنید.',
       useYourModel: 'در حال حاضر از ارائه‌دهنده مدل خود استفاده می‌کنید.',
       close: 'بستن',
+      trialQuotaTip: 'سهمیه آزمایشی Anthropic شما در تاریخ 2025/03/11 منقضی می شود و پس از آن دیگر در دسترس نخواهد بود. لطفا به موقع از آن استفاده کنید.',
     },
     anthropic: {
       using: 'قابلیت تعبیه از این استفاده می‌کند',
diff --git a/web/i18n/fr-FR/common.ts b/web/i18n/fr-FR/common.ts
index 2d6c68e04b..cc92c7e8d2 100644
--- a/web/i18n/fr-FR/common.ts
+++ b/web/i18n/fr-FR/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Quota d\'essai épuisé. Ajoutez votre propre fournisseur de modèle.',
       useYourModel: 'Utilise actuellement son propre fournisseur de modèle.',
       close: 'Fermer',
+      trialQuotaTip: 'Votre quota d’essai Anthropic expirera le 11/03/2025 et ne sera plus disponible par la suite. Veuillez l’utiliser à temps.',
     },
     anthropic: {
       using: 'La capacité d\'embedding est utilisée',
diff --git a/web/i18n/hi-IN/common.ts b/web/i18n/hi-IN/common.ts
index bd87012944..c617066b64 100644
--- a/web/i18n/hi-IN/common.ts
+++ b/web/i18n/hi-IN/common.ts
@@ -300,6 +300,7 @@ const translation = {
       usedUp: 'परीक्षण कोटा समाप्त हो गया। अपना मॉडल प्रदाता जोड़ें।',
       useYourModel: 'वर्तमान में अपना मॉडल प्रदाता उपयोग कर रहे हैं।',
       close: 'बंद करें',
+      trialQuotaTip: 'आपका एंथ्रोपिक परीक्षण कोटा 2025/03/11 को समाप्त हो जाएगा और उसके बाद उपलब्ध नहीं रहेगा। कृपया इसका समय पर उपयोग करें।',
     },
     anthropic: {
       using: 'एम्बेडिंग क्षमता का उपयोग कर रहा है',
diff --git a/web/i18n/it-IT/common.ts b/web/i18n/it-IT/common.ts
index 1a30229fb7..7c9bb4b707 100644
--- a/web/i18n/it-IT/common.ts
+++ b/web/i18n/it-IT/common.ts
@@ -303,6 +303,7 @@ const translation = {
       usedUp: 'Quota di prova esaurita. Aggiungi il tuo fornitore di modelli.',
       useYourModel: 'Attualmente utilizzando il proprio fornitore di modelli.',
       close: 'Chiudi',
+      trialQuotaTip: 'La tua quota di prova di Anthropic scadrà l\'11/03/2025 e non sarà più disponibile in seguito. Sfruttalo in tempo.',
     },
     anthropic: {
       using: 'La capacità di embedding è in uso',
diff --git a/web/i18n/ko-KR/common.ts b/web/i18n/ko-KR/common.ts
index fcdd93c78e..fc03cd7742 100644
--- a/web/i18n/ko-KR/common.ts
+++ b/web/i18n/ko-KR/common.ts
@@ -283,6 +283,7 @@ const translation = {
       usedUp: '트라이얼 할당량이 다 사용되었습니다. 다른 모델 제공자를 추가하세요.',
       useYourModel: '현재 사용자 정의 모델 제공자를 사용 중입니다.',
       close: '닫기',
+      trialQuotaTip: 'Anthropic 평가판 할당량은 2025/03/11에 만료되며 그 이후에는 더 이상 사용할 수 없습니다. 제때 활용하시기 바랍니다.',
     },
     anthropic: {
       using: '임베드 기능을 사용 중입니다',
diff --git a/web/i18n/pl-PL/common.ts b/web/i18n/pl-PL/common.ts
index 5f31e5bfad..a26d5fe930 100644
--- a/web/i18n/pl-PL/common.ts
+++ b/web/i18n/pl-PL/common.ts
@@ -296,6 +296,7 @@ const translation = {
       usedUp: 'Limit próbny został wyczerpany. Dodaj własnego dostawcę modeli.',
       useYourModel: 'Aktualnie używany jest własny dostawca modeli.',
       close: 'Zamknij',
+      trialQuotaTip: 'Twój limit próbny Anthropic wygaśnie w dniu 11.03.2025 i nie będzie już dostępny po tym czasie. Prosimy o skorzystanie z niego w odpowiednim czasie.',
     },
     anthropic: {
       using: 'Zdolność do osadzania jest używana',
diff --git a/web/i18n/pt-BR/common.ts b/web/i18n/pt-BR/common.ts
index 42e606deb3..a5837dfab0 100644
--- a/web/i18n/pt-BR/common.ts
+++ b/web/i18n/pt-BR/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Cota de teste esgotada. Adicione seu próprio Fornecedor de Modelo.',
       useYourModel: 'Atualmente usando seu próprio Fornecedor de Modelo.',
       close: 'Fechar',
+      trialQuotaTip: 'Sua cota de teste do Anthropic expirará em 11/03/2025 e não estará mais disponível depois disso. Por favor, use-o a tempo.',
     },
     anthropic: {
       using: 'A capacidade de incorporação está sendo utilizada',
diff --git a/web/i18n/ro-RO/common.ts b/web/i18n/ro-RO/common.ts
index e7e573fba6..3a6a80e2a9 100644
--- a/web/i18n/ro-RO/common.ts
+++ b/web/i18n/ro-RO/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Cota de probă a fost epuizată. Adăugați propriul furnizor de modele.',
       useYourModel: 'În prezent se utilizează propriul furnizor de modele.',
       close: 'Închide',
+      trialQuotaTip: 'Cota de încercare Anthropic va expira pe 11.03.2025 și nu va mai fi disponibilă ulterior. Vă rugăm să o utilizați la timp.',
     },
     anthropic: {
       using: 'Capacitatea de încorporare utilizează',
diff --git a/web/i18n/ru-RU/common.ts b/web/i18n/ru-RU/common.ts
index bad5c99c65..7cd02a5bca 100644
--- a/web/i18n/ru-RU/common.ts
+++ b/web/i18n/ru-RU/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'Пробная квота исчерпана. Добавьте собственного поставщика модели.',
       useYourModel: 'В настоящее время используется собственный поставщик модели.',
       close: 'Закрыть',
+      trialQuotaTip: 'Ваша квота на пробную версию Anthropic истечет 11.03.2025 и больше не будет доступна. Пожалуйста, используйте его вовремя.',
     },
     anthropic: {
       using: 'Возможность встраивания использует',
diff --git a/web/i18n/sl-SI/common.ts b/web/i18n/sl-SI/common.ts
index 5b7d79b6fd..e076c97bb1 100644
--- a/web/i18n/sl-SI/common.ts
+++ b/web/i18n/sl-SI/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'Kvota za preizkus porabljena. Dodajte svojega ponudnika modelov.',
       useYourModel: 'Trenutno uporabljate svojega ponudnika modelov.',
       close: 'Zapri',
+      trialQuotaTip: 'Vaša kvota za preskušanje antropičnih izdelkov bo potekla 11.3.2025 in po tem datumu ne bo več na voljo. Prosimo, da jo pravočasno izkoristite.',
     },
     anthropic: {
       using: 'Zmožnost vdelave uporablja',
diff --git a/web/i18n/th-TH/common.ts b/web/i18n/th-TH/common.ts
index e510c8e009..db42a57714 100644
--- a/web/i18n/th-TH/common.ts
+++ b/web/i18n/th-TH/common.ts
@@ -286,6 +286,7 @@ const translation = {
       usedUp: 'โควต้าทดลองใช้หมด เพิ่มผู้ให้บริการโมเดลของตัวเอง',
       useYourModel: 'ปัจจุบันใช้ผู้ให้บริการโมเดลของตัวเอง',
       close: 'ปิด',
+      trialQuotaTip: 'โควต้าการทดลองใช้ Anthropic ของคุณจะหมดอายุในวันที่ 2025/03/11 และจะไม่สามารถใช้งานได้อีกต่อไปหลังจากนั้นโปรดใช้มันให้ทันเวลา',
     },
     anthropic: {
       using: 'ความสามารถในการฝังกําลังใช้',
diff --git a/web/i18n/tr-TR/common.ts b/web/i18n/tr-TR/common.ts
index 35c40ca475..c16d36aa45 100644
--- a/web/i18n/tr-TR/common.ts
+++ b/web/i18n/tr-TR/common.ts
@@ -291,6 +291,7 @@ const translation = {
       usedUp: 'Deneme kotası kullanıldı. Kendi Model Sağlayıcınızı ekleyin.',
       useYourModel: 'Şu anda kendi Model Sağlayıcınızı kullanıyorsunuz.',
       close: 'Kapat',
+      trialQuotaTip: 'Antropik deneme kotanız 11/03/2025 tarihinde sona erecek ve bu tarihten sonra kullanılamayacaktır. Lütfen zamanında kullanın.',
     },
     anthropic: {
       using: 'Yerleştirme yeteneği,',
diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts
index 318b8e2fdd..9c78b73038 100644
--- a/web/i18n/uk-UA/common.ts
+++ b/web/i18n/uk-UA/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Пробна квота використана. Додайте власного постачальника моделі.',
       useYourModel: 'Наразі використовується власний постачальника моделі.',
       close: 'Закрити',
+      trialQuotaTip: 'Ваша квота на антропічні пробні випробування закінчується 11.03.2025 і після цього більше не буде доступна. Будь ласка, скористайтеся ним вчасно.',
     },
     anthropic: {
       using: 'Функція вбудовування використовує',
diff --git a/web/i18n/vi-VN/common.ts b/web/i18n/vi-VN/common.ts
index 1fbe8ac832..9d05ab30ba 100644
--- a/web/i18n/vi-VN/common.ts
+++ b/web/i18n/vi-VN/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: 'Quota dùng thử đã hết. Thêm nhà cung cấp Mô hình của riêng bạn.',
       useYourModel: 'Hiện đang sử dụng nhà cung cấp Mô hình của riêng bạn.',
       close: 'Đóng',
+      trialQuotaTip: 'Hạn ngạch dùng thử Anthropic của bạn sẽ hết hạn vào 2025/03/11 và sẽ không còn khả dụng sau đó. Vui lòng sử dụng nó kịp thời.',
     },
     anthropic: {
       using: 'Khả năng nhúng đang sử dụng',
diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts
index a402db6a3a..ff1048a16e 100644
--- a/web/i18n/zh-Hant/common.ts
+++ b/web/i18n/zh-Hant/common.ts
@@ -287,6 +287,7 @@ const translation = {
       usedUp: '試用額度已用完，請在下方新增自己的模型供應商',
       useYourModel: '當前正在使用你自己的模型供應商。',
       close: '關閉',
+      trialQuotaTip: '您的 Anthropic 試用配額將於 2025 年 3 月 11 日到期，此後將不再可用。請及時利用。',
     },
     anthropic: {
       using: '嵌入能力正在使用',

From 0957119550bad1550bbbc313a0fa0d44a51e4ee0 Mon Sep 17 00:00:00 2001
From: Xin Zhang <sjhpzx@gmail.com>
Date: Mon, 10 Feb 2025 19:37:50 +0800
Subject: [PATCH 184/217] fix: update UTC time format for consistency (#13471)

---
 api/controllers/inner_api/workspace/workspace.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/controllers/inner_api/workspace/workspace.py b/api/controllers/inner_api/workspace/workspace.py
index 8b2a7c0c4e..f6c594863e 100644
--- a/api/controllers/inner_api/workspace/workspace.py
+++ b/api/controllers/inner_api/workspace/workspace.py
@@ -50,8 +50,8 @@ class EnterpriseWorkspaceNoOwnerEmail(Resource):
             "plan": tenant.plan,
             "status": tenant.status,
             "custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
-            "created_at": tenant.created_at.isoformat() if tenant.created_at else None,
-            "updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
+            "created_at": tenant.created_at.isoformat() + "Z" if tenant.created_at else None,
+            "updated_at": tenant.updated_at.isoformat() + "Z" if tenant.updated_at else None,
         }
 
         return {

From abec23118db68b25fb86c45a248665c1ac706ae9 Mon Sep 17 00:00:00 2001
From: Abdullah AlOsaimi <189027247+osaimi@users.noreply.github.com>
Date: Mon, 10 Feb 2025 09:28:29 -0500
Subject: [PATCH 185/217] feat: add support for X-Forwarded-Port in ProxyFix
 middleware (#13102)

---
 api/configs/feature/__init__.py  | 4 ++--
 api/extensions/ext_proxy_fix.py  | 2 +-
 docker/nginx/proxy.conf.template | 1 +
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index ba3542baf3..d791f51c43 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -315,8 +315,8 @@ class HttpConfig(BaseSettings):
     )
 
     RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
-        description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
-        " to respect X-* headers to redirect clients",
+        description="Enable handling of X-Forwarded-For, X-Forwarded-Proto, and X-Forwarded-Port headers"
+        " when the app is behind a single trusted reverse proxy.",
         default=False,
     )
 
diff --git a/api/extensions/ext_proxy_fix.py b/api/extensions/ext_proxy_fix.py
index 514e065825..c085aed986 100644
--- a/api/extensions/ext_proxy_fix.py
+++ b/api/extensions/ext_proxy_fix.py
@@ -6,4 +6,4 @@ def init_app(app: DifyApp):
     if dify_config.RESPECT_XFORWARD_HEADERS_ENABLED:
         from werkzeug.middleware.proxy_fix import ProxyFix
 
-        app.wsgi_app = ProxyFix(app.wsgi_app)  # type: ignore
+        app.wsgi_app = ProxyFix(app.wsgi_app, x_port=1)  # type: ignore
diff --git a/docker/nginx/proxy.conf.template b/docker/nginx/proxy.conf.template
index 6b52d23512..117f806146 100644
--- a/docker/nginx/proxy.conf.template
+++ b/docker/nginx/proxy.conf.template
@@ -3,6 +3,7 @@
 proxy_set_header Host $host;
 proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
 proxy_set_header X-Forwarded-Proto $scheme;
+proxy_set_header X-Forwarded-Port $server_port;
 proxy_http_version 1.1;
 proxy_set_header Connection "";
 proxy_buffering off;

From f0a845f0f9693bccd9677bc9a5d4d20fdb23e11b Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Mon, 10 Feb 2025 20:09:07 -0500
Subject: [PATCH 186/217] fix: removed LLM output from the main README (#13504)

---
 README.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/README.md b/README.md
index 8fbc5e55f1..2378cffe9b 100644
--- a/README.md
+++ b/README.md
@@ -175,7 +175,6 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
   </tr>
 </table>
 
-You can copy and paste this into your Markdown file.
 ## Using Dify
 
 - **Cloud </br>**

From 47a64610ca14ddd4de971dafdb3b64759294f34c Mon Sep 17 00:00:00 2001
From: liuzhenghua <1090179900@qq.com>
Date: Tue, 11 Feb 2025 09:58:31 +0800
Subject: [PATCH 187/217] Fix the issue of repeated escaping of quotes in hit
 test (#13477)

---
 api/core/rag/datasource/retrieval_service.py | 5 +++--
 api/services/hit_testing_service.py          | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py
index 3a8200bc7b..927df0efc4 100644
--- a/api/core/rag/datasource/retrieval_service.py
+++ b/api/core/rag/datasource/retrieval_service.py
@@ -1,3 +1,4 @@
+import json
 import threading
 from typing import Optional
 
@@ -171,7 +172,7 @@ class RetrievalService:
                 vector = Vector(dataset=dataset)
 
                 documents = vector.search_by_vector(
-                    cls.escape_query_for_search(query),
+                    query,
                     search_type="similarity_score_threshold",
                     top_k=top_k,
                     score_threshold=score_threshold,
@@ -250,7 +251,7 @@ class RetrievalService:
 
     @staticmethod
     def escape_query_for_search(query: str) -> str:
-        return query.replace('"', '\\"')
+        return json.dumps(query).strip('"')
 
     @staticmethod
     def format_retrieval_documents(documents: list[Document]) -> list[RetrievalSegments]:
diff --git a/api/services/hit_testing_service.py b/api/services/hit_testing_service.py
index e9176fc1c6..f8c1c1d297 100644
--- a/api/services/hit_testing_service.py
+++ b/api/services/hit_testing_service.py
@@ -47,7 +47,7 @@ class HitTestingService:
         all_documents = RetrievalService.retrieve(
             retrieval_method=retrieval_model.get("search_method", "semantic_search"),
             dataset_id=dataset.id,
-            query=cls.escape_query_for_search(query),
+            query=query,
             top_k=retrieval_model.get("top_k", 2),
             score_threshold=retrieval_model.get("score_threshold", 0.0)
             if retrieval_model["score_threshold_enabled"]

From 1f38d4846b4a184bac479ff2eb42c87a2fcb288d Mon Sep 17 00:00:00 2001
From: yihong <zouzou0208@gmail.com>
Date: Tue, 11 Feb 2025 12:45:49 +0800
Subject: [PATCH 188/217] fix: issue #13483 and #13434 (#13518)

Signed-off-by: yihong0618 <zouzou0208@gmail.com>
---
 .../openai_api_compatible/llm/llm.py          | 55 ++++++++++---------
 1 file changed, 29 insertions(+), 26 deletions(-)

diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
index cab552af25..0f4c73814b 100644
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
@@ -807,34 +807,37 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
 
             # calculate num tokens for function object
             num_tokens += self._get_num_tokens_by_gpt2("name")
-            num_tokens += self._get_num_tokens_by_gpt2(tool.name)
+            if hasattr(tool, "name"):
+                num_tokens += self._get_num_tokens_by_gpt2(tool.name)
             num_tokens += self._get_num_tokens_by_gpt2("description")
-            num_tokens += self._get_num_tokens_by_gpt2(tool.description)
-            parameters = tool.parameters
-            num_tokens += self._get_num_tokens_by_gpt2("parameters")
-            if "title" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("title")
-                num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
-            num_tokens += self._get_num_tokens_by_gpt2("type")
-            num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
-            if "properties" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("properties")
-                for key, value in parameters.get("properties").items():
-                    num_tokens += self._get_num_tokens_by_gpt2(key)
-                    for field_key, field_value in value.items():
-                        num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += self._get_num_tokens_by_gpt2(enum_field)
-                        else:
+            if hasattr(tool, "description"):
+                num_tokens += self._get_num_tokens_by_gpt2(tool.description)
+            if hasattr(tool, "parameters"):
+                parameters = tool.parameters
+                num_tokens += self._get_num_tokens_by_gpt2("parameters")
+                if "title" in parameters:
+                    num_tokens += self._get_num_tokens_by_gpt2("title")
+                    num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
+                num_tokens += self._get_num_tokens_by_gpt2("type")
+                num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
+                if "properties" in parameters:
+                    num_tokens += self._get_num_tokens_by_gpt2("properties")
+                    for key, value in parameters.get("properties", {}).items():
+                        num_tokens += self._get_num_tokens_by_gpt2(key)
+                        for field_key, field_value in value.items():
                             num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                            num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
-            if "required" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("required")
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += self._get_num_tokens_by_gpt2(required_field)
+                            if field_key == "enum":
+                                for enum_field in field_value:
+                                    num_tokens += 3
+                                    num_tokens += self._get_num_tokens_by_gpt2(enum_field)
+                            else:
+                                num_tokens += self._get_num_tokens_by_gpt2(field_key)
+                                num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
+                if "required" in parameters:
+                    num_tokens += self._get_num_tokens_by_gpt2("required")
+                    for required_field in parameters["required"]:
+                        num_tokens += 3
+                        num_tokens += self._get_num_tokens_by_gpt2(required_field)
 
         return num_tokens
 

From c00e7d3f654965eef9fd26cecbb5750d21f10791 Mon Sep 17 00:00:00 2001
From: Novice <857526207@qq.com>
Date: Tue, 11 Feb 2025 15:48:55 +0800
Subject: [PATCH 189/217] fix: retry log running error (#13472)

Co-authored-by: Novice Lee <novicelee@NoviPro.local>
---
 api/core/workflow/graph_engine/graph_engine.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py
index db1e01f14f..be7ccad4eb 100644
--- a/api/core/workflow/graph_engine/graph_engine.py
+++ b/api/core/workflow/graph_engine/graph_engine.py
@@ -648,7 +648,7 @@ class GraphEngine:
                                     retries += 1
                                     route_node_state.node_run_result = run_result
                                     yield NodeRunRetryEvent(
-                                        id=node_instance.id,
+                                        id=str(uuid.uuid4()),
                                         node_id=node_instance.node_id,
                                         node_type=node_instance.node_type,
                                         node_data=node_instance.node_data,
@@ -663,7 +663,7 @@ class GraphEngine:
                                         start_at=retry_start_at,
                                     )
                                     time.sleep(retry_interval)
-                                    continue
+                                    break
                             route_node_state.set_finished(run_result=run_result)
 
                             if run_result.status == WorkflowNodeExecutionStatus.FAILED:

From f96b4f287aa8bedd8a557290ec4bb38e21b48a36 Mon Sep 17 00:00:00 2001
From: Novice <857526207@qq.com>
Date: Tue, 11 Feb 2025 16:35:21 +0800
Subject: [PATCH 190/217] fix: iteration node log time error (#13511)

---
 api/core/app/task_pipeline/workflow_cycle_manage.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py
index dcc364d227..ad29201df3 100644
--- a/api/core/app/task_pipeline/workflow_cycle_manage.py
+++ b/api/core/app/task_pipeline/workflow_cycle_manage.py
@@ -842,4 +842,4 @@ class WorkflowCycleManage:
         if node_execution_id not in self._workflow_node_executions:
             raise ValueError(f"Workflow node execution not found: {node_execution_id}")
         cached_workflow_node_execution = self._workflow_node_executions[node_execution_id]
-        return cached_workflow_node_execution
+        return session.merge(cached_workflow_node_execution)

From 423fb2d7bce20b0211a1631a29a2a38b20d19af9 Mon Sep 17 00:00:00 2001
From: Wu Jiayang <62842862+Wu-Jiayang@users.noreply.github.com>
Date: Tue, 11 Feb 2025 18:44:56 +0800
Subject: [PATCH 191/217] Ensure the 'inputs' field in /chat-messages takes
 effect every time (#7955)

Co-authored-by: Your Name <you@example.com>
Co-authored-by: -LAN- <laipz8200@outlook.com>
---
 api/core/app/apps/advanced_chat/app_generator.py | 4 +---
 api/core/app/apps/agent_chat/app_generator.py    | 4 +---
 api/core/app/apps/chat/app_generator.py          | 4 +---
 3 files changed, 3 insertions(+), 9 deletions(-)

diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py
index 36f71fd478..930d4c80bc 100644
--- a/api/core/app/apps/advanced_chat/app_generator.py
+++ b/api/core/app/apps/advanced_chat/app_generator.py
@@ -140,9 +140,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             app_config=app_config,
             file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
-            inputs=conversation.inputs
-            if conversation
-            else self._prepare_user_inputs(
+            inputs=self._prepare_user_inputs(
                 user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
             ),
             query=query,
diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py
index e7f622263e..0b3704b018 100644
--- a/api/core/app/apps/agent_chat/app_generator.py
+++ b/api/core/app/apps/agent_chat/app_generator.py
@@ -148,9 +148,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             model_conf=ModelConfigConverter.convert(app_config),
             file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
-            inputs=conversation.inputs
-            if conversation
-            else self._prepare_user_inputs(
+            inputs=self._prepare_user_inputs(
                 user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
             ),
             query=query,
diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py
index dc7cf3667a..0f359f36d7 100644
--- a/api/core/app/apps/chat/app_generator.py
+++ b/api/core/app/apps/chat/app_generator.py
@@ -141,9 +141,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
             model_conf=ModelConfigConverter.convert(app_config),
             file_upload_config=file_extra_config,
             conversation_id=conversation.id if conversation else None,
-            inputs=conversation.inputs
-            if conversation
-            else self._prepare_user_inputs(
+            inputs=self._prepare_user_inputs(
                 user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
             ),
             query=query,

From bde756a1ab1bc2c8c71c91e5e3abc788b6a96f55 Mon Sep 17 00:00:00 2001
From: jiangbo721 <365065261@qq.com>
Date: Tue, 11 Feb 2025 22:05:29 +0800
Subject: [PATCH 192/217] chore:Remove useless brackets and format code
 (#13479)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: 刘江波 <jiangbo721@163.com>
---
 api/core/provider_manager.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py
index 2430d598ff..479074e997 100644
--- a/api/core/provider_manager.py
+++ b/api/core/provider_manager.py
@@ -452,11 +452,9 @@ class ProviderManager:
 
         provider_name_to_provider_load_balancing_model_configs_dict = defaultdict(list)
         for provider_load_balancing_config in provider_load_balancing_configs:
-            (
-                provider_name_to_provider_load_balancing_model_configs_dict[
-                    provider_load_balancing_config.provider_name
-                ].append(provider_load_balancing_config)
-            )
+            provider_name_to_provider_load_balancing_model_configs_dict[
+                provider_load_balancing_config.provider_name
+            ].append(provider_load_balancing_config)
 
         return provider_name_to_provider_load_balancing_model_configs_dict
 

From 786550bdc9014ad45979ac5b69ada71613c482ac Mon Sep 17 00:00:00 2001
From: Riddhimaan-Senapati
 <114703025+Riddhimaan-Senapati@users.noreply.github.com>
Date: Tue, 11 Feb 2025 20:15:15 -0500
Subject: [PATCH 193/217] fix: changed topics/keywords to topic/keywords
 (#13544)

---
 web/hooks/use-metadata.ts             | 8 ++++----
 web/i18n/de-DE/dataset-documents.ts   | 4 ++--
 web/i18n/en-US/dataset-documents.ts   | 2 +-
 web/i18n/es-ES/dataset-documents.ts   | 2 +-
 web/i18n/fa-IR/dataset-documents.ts   | 2 +-
 web/i18n/fr-FR/dataset-documents.ts   | 2 +-
 web/i18n/hi-IN/dataset-documents.ts   | 2 +-
 web/i18n/it-IT/dataset-documents.ts   | 2 +-
 web/i18n/ja-JP/dataset-documents.ts   | 2 +-
 web/i18n/ko-KR/dataset-documents.ts   | 2 +-
 web/i18n/pl-PL/dataset-documents.ts   | 2 +-
 web/i18n/pt-BR/dataset-documents.ts   | 2 +-
 web/i18n/ro-RO/dataset-documents.ts   | 2 +-
 web/i18n/ru-RU/dataset-documents.ts   | 2 +-
 web/i18n/sl-SI/dataset-documents.ts   | 2 +-
 web/i18n/th-TH/dataset-documents.ts   | 2 +-
 web/i18n/tr-TR/dataset-documents.ts   | 2 +-
 web/i18n/uk-UA/dataset-documents.ts   | 2 +-
 web/i18n/vi-VN/dataset-documents.ts   | 2 +-
 web/i18n/zh-Hans/dataset-documents.ts | 2 +-
 web/i18n/zh-Hant/dataset-documents.ts | 2 +-
 21 files changed, 25 insertions(+), 25 deletions(-)

diff --git a/web/hooks/use-metadata.ts b/web/hooks/use-metadata.ts
index 5d1d86c20e..92eb733e35 100644
--- a/web/hooks/use-metadata.ts
+++ b/web/hooks/use-metadata.ts
@@ -65,7 +65,7 @@ export const useMetadataMap = (): MetadataMap => {
         },
         'author/publisher': { label: t(`${fieldPrefix}.webPage.authorPublisher`) },
         'publish_date': { label: t(`${fieldPrefix}.webPage.publishDate`) },
-        'topics/keywords': { label: t(`${fieldPrefix}.webPage.topicsKeywords`) },
+        'topic/keywords': { label: t(`${fieldPrefix}.webPage.topicKeywords`) },
         'description': { label: t(`${fieldPrefix}.webPage.description`) },
       },
     },
@@ -85,7 +85,7 @@ export const useMetadataMap = (): MetadataMap => {
         },
         'volume/issue/page_numbers': { label: t(`${fieldPrefix}.paper.volumeIssuePage`) },
         'doi': { label: t(`${fieldPrefix}.paper.DOI`) },
-        'topics/keywords': { label: t(`${fieldPrefix}.paper.topicsKeywords`) },
+        'topic/keywords': { label: t(`${fieldPrefix}.paper.topicKeywords`) },
         'abstract': {
           label: t(`${fieldPrefix}.paper.abstract`),
           inputType: 'textarea',
@@ -158,8 +158,8 @@ export const useMetadataMap = (): MetadataMap => {
         'start_date': { label: t(`${fieldPrefix}.IMChat.startDate`) },
         'end_date': { label: t(`${fieldPrefix}.IMChat.endDate`) },
         'participants': { label: t(`${fieldPrefix}.IMChat.participants`) },
-        'topicsKeywords': {
-          label: t(`${fieldPrefix}.IMChat.topicsKeywords`),
+        'topicKeywords': {
+          label: t(`${fieldPrefix}.IMChat.topicKeywords`),
           inputType: 'textarea',
         },
         'fileType': { label: t(`${fieldPrefix}.IMChat.fileType`) },
diff --git a/web/i18n/de-DE/dataset-documents.ts b/web/i18n/de-DE/dataset-documents.ts
index 16bb6349cf..6cfc5147a3 100644
--- a/web/i18n/de-DE/dataset-documents.ts
+++ b/web/i18n/de-DE/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Sprache',
         authorPublisher: 'Autor/Verlag',
         publishDate: 'Veröffentlichungsdatum',
-        topicsKeywords: 'Themen/Schlüsselwörter',
+        topicKeywords: 'Themen/Schlüsselwörter',
         description: 'Beschreibung',
       },
       paper: {
@@ -144,7 +144,7 @@ const translation = {
         journalConferenceName: 'Zeitschrift/Konferenzname',
         volumeIssuePage: 'Band/Ausgabe/Seite',
         DOI: 'DOI',
-        topicsKeywords: 'Themen/Schlüsselwörter',
+        topicKeywords: 'Themen/Schlüsselwörter',
         abstract: 'Zusammenfassung',
       },
       socialMediaPost: {
diff --git a/web/i18n/en-US/dataset-documents.ts b/web/i18n/en-US/dataset-documents.ts
index d315261c36..d7fd70c089 100644
--- a/web/i18n/en-US/dataset-documents.ts
+++ b/web/i18n/en-US/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Language',
         authorPublisher: 'Author/Publisher',
         publishDate: 'Publish Date',
-        topicsKeywords: 'Topics/Keywords',
+        topicKeywords: 'Topic/Keywords',
         description: 'Description',
       },
       paper: {
diff --git a/web/i18n/es-ES/dataset-documents.ts b/web/i18n/es-ES/dataset-documents.ts
index ea4690c5f5..cd5bb36197 100644
--- a/web/i18n/es-ES/dataset-documents.ts
+++ b/web/i18n/es-ES/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Idioma',
         authorPublisher: 'Autor/Editorial',
         publishDate: 'Fecha de publicación',
-        topicsKeywords: 'Temas/Palabras clave',
+        topicKeywords: 'Temas/Palabras clave',
         description: 'Descripción',
       },
       paper: {
diff --git a/web/i18n/fa-IR/dataset-documents.ts b/web/i18n/fa-IR/dataset-documents.ts
index ff9e47f71a..85e1e0a4aa 100644
--- a/web/i18n/fa-IR/dataset-documents.ts
+++ b/web/i18n/fa-IR/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: 'زبان',
         authorPublisher: 'نویسنده/ناشر',
         publishDate: 'تاریخ انتشار',
-        topicsKeywords: 'موضوعات/کلیدواژه‌ها',
+        topicKeywords: 'موضوعات/کلیدواژه‌ها',
         description: 'توضیحات',
       },
       paper: {
diff --git a/web/i18n/fr-FR/dataset-documents.ts b/web/i18n/fr-FR/dataset-documents.ts
index 614590de53..7a795202ed 100644
--- a/web/i18n/fr-FR/dataset-documents.ts
+++ b/web/i18n/fr-FR/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Langue',
         authorPublisher: 'Auteur/Éditeur',
         publishDate: 'Date de publication',
-        topicsKeywords: 'Sujets/Mots-clés',
+        topicKeywords: 'Sujets/Mots-clés',
         description: 'Description',
       },
       paper: {
diff --git a/web/i18n/hi-IN/dataset-documents.ts b/web/i18n/hi-IN/dataset-documents.ts
index e01b3ebb13..35bcb0aad2 100644
--- a/web/i18n/hi-IN/dataset-documents.ts
+++ b/web/i18n/hi-IN/dataset-documents.ts
@@ -134,7 +134,7 @@ const translation = {
         language: 'भाषा',
         authorPublisher: 'लेखक/प्रकाशक',
         publishDate: 'प्रकाशन तिथि',
-        topicsKeywords: 'विषय/कीवर्ड्स',
+        topicKeywords: 'विषय/कीवर्ड्स',
         description: 'विवरण',
       },
       paper: {
diff --git a/web/i18n/it-IT/dataset-documents.ts b/web/i18n/it-IT/dataset-documents.ts
index 06c5a2deed..b9afb1ea75 100644
--- a/web/i18n/it-IT/dataset-documents.ts
+++ b/web/i18n/it-IT/dataset-documents.ts
@@ -134,7 +134,7 @@ const translation = {
         language: 'Lingua',
         authorPublisher: 'Autore/Editore',
         publishDate: 'Data di Pubblicazione',
-        topicsKeywords: 'Argomenti/Parole Chiave',
+        topicKeywords: 'Argomenti/Parole Chiave',
         description: 'Descrizione',
       },
       paper: {
diff --git a/web/i18n/ja-JP/dataset-documents.ts b/web/i18n/ja-JP/dataset-documents.ts
index 0ca9362433..270c619116 100644
--- a/web/i18n/ja-JP/dataset-documents.ts
+++ b/web/i18n/ja-JP/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: '言語',
         authorPublisher: '著者/出版社',
         publishDate: '公開日',
-        topicsKeywords: 'トピック/キーワード',
+        topicKeywords: 'トピック/キーワード',
         description: '説明',
       },
       paper: {
diff --git a/web/i18n/ko-KR/dataset-documents.ts b/web/i18n/ko-KR/dataset-documents.ts
index ec0b2bb62d..6f6cb451cd 100644
--- a/web/i18n/ko-KR/dataset-documents.ts
+++ b/web/i18n/ko-KR/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: '언어',
         authorPublisher: '저자/출판사',
         publishDate: '공개일',
-        topicsKeywords: '주제/키워드',
+        topicKeywords: '주제/키워드',
         description: '설명',
       },
       paper: {
diff --git a/web/i18n/pl-PL/dataset-documents.ts b/web/i18n/pl-PL/dataset-documents.ts
index d5292fd2c4..37f373ac93 100644
--- a/web/i18n/pl-PL/dataset-documents.ts
+++ b/web/i18n/pl-PL/dataset-documents.ts
@@ -134,7 +134,7 @@ const translation = {
         language: 'Język',
         authorPublisher: 'Autor/Wydawca',
         publishDate: 'Data publikacji',
-        topicsKeywords: 'Tematy/Słowa kluczowe',
+        topicKeywords: 'Tematy/Słowa kluczowe',
         description: 'Opis',
       },
       paper: {
diff --git a/web/i18n/pt-BR/dataset-documents.ts b/web/i18n/pt-BR/dataset-documents.ts
index 9acfca3029..9a3d13bcab 100644
--- a/web/i18n/pt-BR/dataset-documents.ts
+++ b/web/i18n/pt-BR/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Idioma',
         authorPublisher: 'Autor/Editor',
         publishDate: 'Data de Publicação',
-        topicsKeywords: 'Tópicos/Palavras-chave',
+        topicKeywords: 'Tópicos/Palavras-chave',
         description: 'Descrição',
       },
       paper: {
diff --git a/web/i18n/ro-RO/dataset-documents.ts b/web/i18n/ro-RO/dataset-documents.ts
index acf40ec4aa..e42be87502 100644
--- a/web/i18n/ro-RO/dataset-documents.ts
+++ b/web/i18n/ro-RO/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Limbă',
         authorPublisher: 'Autor/Editor',
         publishDate: 'Data publicării',
-        topicsKeywords: 'Subiecte/Cuvinte cheie',
+        topicKeywords: 'Subiecte/Cuvinte cheie',
         description: 'Descriere',
       },
       paper: {
diff --git a/web/i18n/ru-RU/dataset-documents.ts b/web/i18n/ru-RU/dataset-documents.ts
index f344a7e48c..735266c087 100644
--- a/web/i18n/ru-RU/dataset-documents.ts
+++ b/web/i18n/ru-RU/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Язык',
         authorPublisher: 'Автор/Издатель',
         publishDate: 'Дата публикации',
-        topicsKeywords: 'Темы/Ключевые слова',
+        topicKeywords: 'Темы/Ключевые слова',
         description: 'Описание',
       },
       paper: {
diff --git a/web/i18n/sl-SI/dataset-documents.ts b/web/i18n/sl-SI/dataset-documents.ts
index 3953e9a574..78d63c9e29 100644
--- a/web/i18n/sl-SI/dataset-documents.ts
+++ b/web/i18n/sl-SI/dataset-documents.ts
@@ -133,7 +133,7 @@ const translation = {
         language: 'Jezik',
         authorPublisher: 'Avtor/Založnik',
         publishDate: 'Datum objave',
-        topicsKeywords: 'Teme/Ključne besede',
+        topicKeywords: 'Teme/Ključne besede',
         description: 'Opis',
       },
       paper: {
diff --git a/web/i18n/th-TH/dataset-documents.ts b/web/i18n/th-TH/dataset-documents.ts
index a7ea67c11b..2f4c6d5c9c 100644
--- a/web/i18n/th-TH/dataset-documents.ts
+++ b/web/i18n/th-TH/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: 'ภาษา',
         authorPublisher: 'ผู้เขียน/สํานักพิมพ์',
         publishDate: 'วันที่เผยแพร่',
-        topicsKeywords: 'หัวข้อ/คําสําคัญ',
+        topicKeywords: 'หัวข้อ/คําสําคัญ',
         description: 'คำอธิบาย',
       },
       paper: {
diff --git a/web/i18n/tr-TR/dataset-documents.ts b/web/i18n/tr-TR/dataset-documents.ts
index 7a297d9093..f643375334 100644
--- a/web/i18n/tr-TR/dataset-documents.ts
+++ b/web/i18n/tr-TR/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: 'Dil',
         authorPublisher: 'Yazar/Yayıncı',
         publishDate: 'Yayın Tarihi',
-        topicsKeywords: 'Konular/Anahtar Kelimeler',
+        topicKeywords: 'Konular/Anahtar Kelimeler',
         description: 'Açıklama',
       },
       paper: {
diff --git a/web/i18n/uk-UA/dataset-documents.ts b/web/i18n/uk-UA/dataset-documents.ts
index 192253b264..da012cbb57 100644
--- a/web/i18n/uk-UA/dataset-documents.ts
+++ b/web/i18n/uk-UA/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: 'Мова',
         authorPublisher: 'Автор/видавець',
         publishDate: 'Дата публікації',
-        topicsKeywords: 'Теми/ключові слова',
+        topicKeywords: 'Теми/ключові слова',
         description: 'Опис',
       },
       paper: {
diff --git a/web/i18n/vi-VN/dataset-documents.ts b/web/i18n/vi-VN/dataset-documents.ts
index 07e5c5c6e3..6e13c1185f 100644
--- a/web/i18n/vi-VN/dataset-documents.ts
+++ b/web/i18n/vi-VN/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: 'Ngôn ngữ',
         authorPublisher: 'Tác giả/Nhà xuất bản',
         publishDate: 'Ngày xuất bản',
-        topicsKeywords: 'Chủ đề/Từ khóa',
+        topicKeywords: 'Chủ đề/Từ khóa',
         description: 'Mô tả',
       },
       paper: {
diff --git a/web/i18n/zh-Hans/dataset-documents.ts b/web/i18n/zh-Hans/dataset-documents.ts
index 9949f33d87..5ff1b50f85 100644
--- a/web/i18n/zh-Hans/dataset-documents.ts
+++ b/web/i18n/zh-Hans/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: '语言',
         authorPublisher: '作者/出版商',
         publishDate: '发布日期',
-        topicsKeywords: '主题/关键词',
+        topicKeywords: '主题/关键词',
         description: '描述',
       },
       paper: {
diff --git a/web/i18n/zh-Hant/dataset-documents.ts b/web/i18n/zh-Hant/dataset-documents.ts
index 8a6c1f7924..5ad2c8f61f 100644
--- a/web/i18n/zh-Hant/dataset-documents.ts
+++ b/web/i18n/zh-Hant/dataset-documents.ts
@@ -132,7 +132,7 @@ const translation = {
         language: '語言',
         authorPublisher: '作者/出版商',
         publishDate: '釋出日期',
-        topicsKeywords: '主題/關鍵詞',
+        topicKeywords: '主題/關鍵詞',
         description: '描述',
       },
       paper: {

From 0751ad1eeb901200b5c89a684e854fab10cc0300 Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Wed, 12 Feb 2025 13:53:51 +0800
Subject: [PATCH 194/217] feat(vdb): add HNSW vector index for TiDB vector
 store with TiFlash (#12043)

---
 .github/workflows/expose_service_ports.sh     |  2 +-
 .github/workflows/vdb-tests.yml               | 14 ++++-
 .gitignore                                    |  1 +
 .../datasource/vdb/tidb_vector/tidb_vector.py | 62 ++++++++++++-------
 .../vdb/tidb_vector/check_tiflash_ready.py    | 59 ++++++++++++++++++
 docker/docker-compose-template.yaml           | 10 ---
 docker/docker-compose.yaml                    | 10 ---
 docker/tidb/config/pd.toml                    |  4 ++
 docker/tidb/config/tiflash-learner.toml       | 13 ++++
 docker/tidb/config/tiflash.toml               | 19 ++++++
 docker/tidb/docker-compose.yaml               | 62 +++++++++++++++++++
 11 files changed, 211 insertions(+), 45 deletions(-)
 create mode 100644 api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
 create mode 100644 docker/tidb/config/pd.toml
 create mode 100644 docker/tidb/config/tiflash-learner.toml
 create mode 100644 docker/tidb/config/tiflash.toml
 create mode 100644 docker/tidb/docker-compose.yaml

diff --git a/.github/workflows/expose_service_ports.sh b/.github/workflows/expose_service_ports.sh
index d3146cd90d..16f24439e6 100755
--- a/.github/workflows/expose_service_ports.sh
+++ b/.github/workflows/expose_service_ports.sh
@@ -9,6 +9,6 @@ yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compos
 yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
-yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/docker-compose.yaml
+yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
 
 echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"
diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml
index b18316bcd6..5e3f7a557a 100644
--- a/.github/workflows/vdb-tests.yml
+++ b/.github/workflows/vdb-tests.yml
@@ -54,7 +54,15 @@ jobs:
       - name: Expose Service Ports
         run: sh .github/workflows/expose_service_ports.sh
 
-      - name: Set up Vector Stores (TiDB, Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
+      - name: Set up Vector Store (TiDB)
+        uses: hoverkraft-tech/compose-action@v2.0.2
+        with:
+          compose-file: docker/tidb/docker-compose.yaml
+          services: |
+            tidb
+            tiflash
+
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
         uses: hoverkraft-tech/compose-action@v2.0.2
         with:
           compose-file: |
@@ -70,7 +78,9 @@ jobs:
             pgvector
             chroma
             elasticsearch
-            tidb
+
+      - name: Check TiDB Ready
+        run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
 
       - name: Test Vector Stores
         run: poetry run -P api bash dev/pytest/pytest_vdb.sh
diff --git a/.gitignore b/.gitignore
index 1423bfee56..a6dad201e8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -163,6 +163,7 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
+docker/tidb/volumes/*
 docker/volumes/etcd/*
 docker/volumes/minio/*
 docker/volumes/milvus/*
diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py
index be3a417390..6dd4be65c8 100644
--- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py
+++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py
@@ -9,6 +9,7 @@ from sqlalchemy import text as sql_text
 from sqlalchemy.orm import Session, declarative_base
 
 from configs import dify_config
+from core.rag.datasource.vdb.field import Field
 from core.rag.datasource.vdb.vector_base import BaseVector
 from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
 from core.rag.datasource.vdb.vector_type import VectorType
@@ -54,14 +55,13 @@ class TiDBVector(BaseVector):
         return Table(
             self._collection_name,
             self._orm_base.metadata,
-            Column("id", String(36), primary_key=True, nullable=False),
+            Column(Field.PRIMARY_KEY.value, String(36), primary_key=True, nullable=False),
             Column(
-                "vector",
+                Field.VECTOR.value,
                 VectorType(dim),
                 nullable=False,
-                comment="" if self._distance_func is None else f"hnsw(distance={self._distance_func})",
             ),
-            Column("text", TEXT, nullable=False),
+            Column(Field.TEXT_KEY.value, TEXT, nullable=False),
             Column("meta", JSON, nullable=False),
             Column("create_time", DateTime, server_default=sqlalchemy.text("CURRENT_TIMESTAMP")),
             Column(
@@ -96,6 +96,7 @@ class TiDBVector(BaseVector):
             collection_exist_cache_key = "vector_indexing_{}".format(self._collection_name)
             if redis_client.get(collection_exist_cache_key):
                 return
+            tidb_dist_func = self._get_distance_func()
             with Session(self._engine) as session:
                 session.begin()
                 create_statement = sql_text(f"""
@@ -104,14 +105,14 @@ class TiDBVector(BaseVector):
                         text TEXT NOT NULL,
                         meta JSON NOT NULL,
                         doc_id VARCHAR(64) AS (JSON_UNQUOTE(JSON_EXTRACT(meta, '$.doc_id'))) STORED,
-                        KEY (doc_id),
-                        vector VECTOR<FLOAT>({dimension}) NOT NULL COMMENT "hnsw(distance={self._distance_func})",
+                        vector VECTOR<FLOAT>({dimension}) NOT NULL,
                         create_time DATETIME DEFAULT CURRENT_TIMESTAMP,
-                        update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
+                        update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+                        KEY (doc_id),
+                        VECTOR INDEX idx_vector (({tidb_dist_func}(vector))) USING HNSW
                     );
                 """)
                 session.execute(create_statement)
-                # tidb vector not support 'CREATE/ADD INDEX' now
                 session.commit()
             redis_client.set(collection_exist_cache_key, 1, ex=3600)
 
@@ -194,23 +195,30 @@ class TiDBVector(BaseVector):
         )
 
         docs = []
-        if self._distance_func == "l2":
-            tidb_func = "Vec_l2_distance"
-        elif self._distance_func == "cosine":
-            tidb_func = "Vec_Cosine_distance"
-        else:
-            tidb_func = "Vec_Cosine_distance"
+        tidb_dist_func = self._get_distance_func()
 
         with Session(self._engine) as session:
-            select_statement = sql_text(
-                f"""SELECT meta, text, distance FROM (
-                        SELECT meta, text, {tidb_func}(vector, "{query_vector_str}")  as distance
-                        FROM {self._collection_name}
-                        ORDER BY distance
-                        LIMIT {top_k}
-                    ) t WHERE distance < {distance};"""
+            select_statement = sql_text(f"""
+                SELECT meta, text, distance 
+                FROM (
+                  SELECT 
+                    meta,
+                    text,
+                    {tidb_dist_func}(vector, :query_vector_str) AS distance
+                  FROM {self._collection_name}
+                  ORDER BY distance ASC
+                  LIMIT :top_k
+                ) t
+                WHERE distance <= :distance
+                """)
+            res = session.execute(
+                select_statement,
+                params={
+                    "query_vector_str": query_vector_str,
+                    "distance": distance,
+                    "top_k": top_k,
+                },
             )
-            res = session.execute(select_statement)
             results = [(row[0], row[1], row[2]) for row in res]
             for meta, text, distance in results:
                 metadata = json.loads(meta)
@@ -227,6 +235,16 @@ class TiDBVector(BaseVector):
             session.execute(sql_text(f"""DROP TABLE IF EXISTS {self._collection_name};"""))
             session.commit()
 
+    def _get_distance_func(self) -> str:
+        match self._distance_func:
+            case "l2":
+                tidb_dist_func = "VEC_L2_DISTANCE"
+            case "cosine":
+                tidb_dist_func = "VEC_COSINE_DISTANCE"
+            case _:
+                tidb_dist_func = "VEC_COSINE_DISTANCE"
+        return tidb_dist_func
+
 
 class TiDBVectorFactory(AbstractVectorFactory):
     def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> TiDBVector:
diff --git a/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py b/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
new file mode 100644
index 0000000000..294a168310
--- /dev/null
+++ b/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
@@ -0,0 +1,59 @@
+import time
+
+import pymysql
+
+
+def check_tiflash_ready() -> bool:
+    try:
+        connection = pymysql.connect(
+            host="localhost",
+            port=4000,
+            user="root",
+            password="",
+        )
+
+        with connection.cursor() as cursor:
+            # Doc reference:
+            # https://docs.pingcap.com/zh/tidb/stable/information-schema-cluster-hardware
+            select_tiflash_query = """
+            SELECT * FROM information_schema.cluster_hardware
+            WHERE TYPE='tiflash'
+            LIMIT 1;
+            """
+            cursor.execute(select_tiflash_query)
+            result = cursor.fetchall()
+            return result is not None and len(result) > 0
+    except Exception as e:
+        print(f"TiFlash is not ready. Exception: {e}")
+        return False
+    finally:
+        if connection:
+            connection.close()
+
+
+def main():
+    max_attempts = 30
+    retry_interval_seconds = 2
+    is_tiflash_ready = False
+    for attempt in range(max_attempts):
+        try:
+            is_tiflash_ready = check_tiflash_ready()
+        except Exception as e:
+            print(f"TiFlash is not ready. Exception: {e}")
+            is_tiflash_ready = False
+
+        if is_tiflash_ready:
+            break
+        else:
+            print(f"Attempt {attempt + 1} failed，retry in {retry_interval_seconds} seconds...")
+            time.sleep(retry_interval_seconds)
+
+    if is_tiflash_ready:
+        print("TiFlash is ready in TiDB.")
+    else:
+        print(f"TiFlash is not ready in TiDB after {max_attempts} attempting checks.")
+        exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index c10c4d80d8..fc4e7d9c89 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -199,16 +199,6 @@ services:
       - '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}'
       - '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}'
 
-  # The TiDB vector store.
-  # For production use, please refer to https://github.com/pingcap/tidb-docker-compose
-  tidb:
-    image: pingcap/tidb:v8.4.0
-    profiles:
-      - tidb
-    command:
-      - --store=unistore
-    restart: always
-
   # The Weaviate vector store.
   weaviate:
     image: semitechnologies/weaviate:1.19.0
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 33379e4b8c..38e4783806 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -594,16 +594,6 @@ services:
       - '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}'
       - '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}'
 
-  # The TiDB vector store.
-  # For production use, please refer to https://github.com/pingcap/tidb-docker-compose
-  tidb:
-    image: pingcap/tidb:v8.4.0
-    profiles:
-      - tidb
-    command:
-      - --store=unistore
-    restart: always
-
   # The Weaviate vector store.
   weaviate:
     image: semitechnologies/weaviate:1.19.0
diff --git a/docker/tidb/config/pd.toml b/docker/tidb/config/pd.toml
new file mode 100644
index 0000000000..042b251e46
--- /dev/null
+++ b/docker/tidb/config/pd.toml
@@ -0,0 +1,4 @@
+# PD Configuration File reference:
+# https://docs.pingcap.com/tidb/stable/pd-configuration-file#pd-configuration-file
+[replication]
+max-replicas = 1
\ No newline at end of file
diff --git a/docker/tidb/config/tiflash-learner.toml b/docker/tidb/config/tiflash-learner.toml
new file mode 100644
index 0000000000..5098829aaa
--- /dev/null
+++ b/docker/tidb/config/tiflash-learner.toml
@@ -0,0 +1,13 @@
+# TiFlash tiflash-learner.toml Configuration File reference:
+# https://docs.pingcap.com/tidb/stable/tiflash-configuration#configure-the-tiflash-learnertoml-file
+
+log-file = "/logs/tiflash_tikv.log"
+
+[server]
+engine-addr = "tiflash:4030"
+addr = "0.0.0.0:20280"
+advertise-addr = "tiflash:20280"
+status-addr = "tiflash:20292"
+
+[storage]
+data-dir = "/data/flash"
diff --git a/docker/tidb/config/tiflash.toml b/docker/tidb/config/tiflash.toml
new file mode 100644
index 0000000000..30ac13efcb
--- /dev/null
+++ b/docker/tidb/config/tiflash.toml
@@ -0,0 +1,19 @@
+# TiFlash tiflash.toml Configuration File reference:
+# https://docs.pingcap.com/tidb/stable/tiflash-configuration#configure-the-tiflashtoml-file
+
+listen_host = "0.0.0.0"
+path = "/data"
+
+[flash]
+tidb_status_addr = "tidb:10080"
+service_addr = "tiflash:4030"
+
+[flash.proxy]
+config = "/tiflash-learner.toml"
+
+[logger]
+errorlog = "/logs/tiflash_error.log"
+log = "/logs/tiflash.log"
+
+[raft]
+pd_addr = "pd0:2379"
diff --git a/docker/tidb/docker-compose.yaml b/docker/tidb/docker-compose.yaml
new file mode 100644
index 0000000000..fa15770175
--- /dev/null
+++ b/docker/tidb/docker-compose.yaml
@@ -0,0 +1,62 @@
+services:
+  pd0:
+    image: pingcap/pd:v8.5.1
+    # ports:
+    #  - "2379"
+    volumes:
+      - ./config/pd.toml:/pd.toml:ro
+      - ./volumes/data:/data
+      - ./volumes/logs:/logs
+    command:
+      - --name=pd0
+      - --client-urls=http://0.0.0.0:2379
+      - --peer-urls=http://0.0.0.0:2380
+      - --advertise-client-urls=http://pd0:2379
+      - --advertise-peer-urls=http://pd0:2380
+      - --initial-cluster=pd0=http://pd0:2380
+      - --data-dir=/data/pd
+      - --config=/pd.toml
+      - --log-file=/logs/pd.log
+    restart: on-failure
+  tikv:
+    image: pingcap/tikv:v8.5.1
+    volumes:
+      - ./volumes/data:/data
+      - ./volumes/logs:/logs
+    command:
+      - --addr=0.0.0.0:20160
+      - --advertise-addr=tikv:20160
+      - --status-addr=tikv:20180
+      - --data-dir=/data/tikv
+      - --pd=pd0:2379
+      - --log-file=/logs/tikv.log
+    depends_on:
+      - "pd0"
+    restart: on-failure
+  tidb:
+    image: pingcap/tidb:v8.5.1
+    # ports:
+    #   - "4000:4000"
+    volumes:
+      - ./volumes/logs:/logs
+    command:
+      - --advertise-address=tidb
+      - --store=tikv
+      - --path=pd0:2379
+      - --log-file=/logs/tidb.log
+    depends_on:
+      - "tikv"
+    restart: on-failure
+  tiflash:
+    image: pingcap/tiflash:v8.5.1
+    volumes:
+      - ./config/tiflash.toml:/tiflash.toml:ro
+      - ./config/tiflash-learner.toml:/tiflash-learner.toml:ro
+      - ./volumes/data:/data
+      - ./volumes/logs:/logs
+    command:
+      - --config=/tiflash.toml
+    depends_on:
+      - "tikv"
+      - "tidb"
+    restart: on-failure

From 6529240da69c6f293779ef36b35a48bfc283306d Mon Sep 17 00:00:00 2001
From: kimjion <45935338+kimjion@users.noreply.github.com>
Date: Wed, 12 Feb 2025 15:02:11 +0800
Subject: [PATCH 195/217] fix: no longer using old app detail cover when switch
 pathname (#13585)

---
 .../(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx    | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
index 91b305dc8c..406a6642be 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
@@ -146,7 +146,8 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
         })
       }
     }
-  }, [appDetailRes, appId, getNavigations, isCurrentWorkspaceEditor, isLoadingAppDetail, isLoadingCurrentWorkspace, pathname, router, setAppDetail, systemFeatures.enable_web_sso_switch_component])
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [appDetailRes, appId, getNavigations, isCurrentWorkspaceEditor, isLoadingAppDetail, isLoadingCurrentWorkspace, router, setAppDetail, systemFeatures.enable_web_sso_switch_component])
 
   useUnmount(() => {
     setAppDetail()

From 2b86465d4ce10eb2e1f543682ff7a5d7573ec61f Mon Sep 17 00:00:00 2001
From: AugNSo <song.tiankai@icloud.com>
Date: Wed, 12 Feb 2025 18:04:28 +0800
Subject: [PATCH 196/217] fix document extractor node incorrectly processing
 doc and ppt files (#12902)

---
 api/constants/__init__.py                     |  2 +-
 .../workflow/nodes/document_extractor/node.py | 61 ++++++++++++++++---
 .../nodes/test_document_extractor_node.py     |  8 +--
 .../base/prompt-editor/constants.tsx          |  2 +-
 4 files changed, 59 insertions(+), 14 deletions(-)

diff --git a/api/constants/__init__.py b/api/constants/__init__.py
index 4500ef4306..b5dfd9cb18 100644
--- a/api/constants/__init__.py
+++ b/api/constants/__init__.py
@@ -15,7 +15,7 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
 
 if dify_config.ETL_TYPE == "Unstructured":
     DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"]
-    DOCUMENT_EXTENSIONS.extend(("docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
+    DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
     if dify_config.UNSTRUCTURED_API_URL:
         DOCUMENT_EXTENSIONS.append("ppt")
     DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
diff --git a/api/core/workflow/nodes/document_extractor/node.py b/api/core/workflow/nodes/document_extractor/node.py
index c0d8c64099..07abe345dd 100644
--- a/api/core/workflow/nodes/document_extractor/node.py
+++ b/api/core/workflow/nodes/document_extractor/node.py
@@ -107,8 +107,10 @@ def _extract_text_by_mime_type(*, file_content: bytes, mime_type: str) -> str:
             return _extract_text_from_plain_text(file_content)
         case "application/pdf":
             return _extract_text_from_pdf(file_content)
-        case "application/vnd.openxmlformats-officedocument.wordprocessingml.document" | "application/msword":
+        case "application/msword":
             return _extract_text_from_doc(file_content)
+        case "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
+            return _extract_text_from_docx(file_content)
         case "text/csv":
             return _extract_text_from_csv(file_content)
         case "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" | "application/vnd.ms-excel":
@@ -142,8 +144,10 @@ def _extract_text_by_file_extension(*, file_content: bytes, file_extension: str)
             return _extract_text_from_yaml(file_content)
         case ".pdf":
             return _extract_text_from_pdf(file_content)
-        case ".doc" | ".docx":
+        case ".doc":
             return _extract_text_from_doc(file_content)
+        case ".docx":
+            return _extract_text_from_docx(file_content)
         case ".csv":
             return _extract_text_from_csv(file_content)
         case ".xls" | ".xlsx":
@@ -203,7 +207,33 @@ def _extract_text_from_pdf(file_content: bytes) -> str:
 
 def _extract_text_from_doc(file_content: bytes) -> str:
     """
-    Extract text from a DOC/DOCX file.
+    Extract text from a DOC file.
+    """
+    from unstructured.partition.api import partition_via_api
+
+    if not (dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY):
+        raise TextExtractionError("UNSTRUCTURED_API_URL and UNSTRUCTURED_API_KEY must be set")
+
+    try:
+        with tempfile.NamedTemporaryFile(suffix=".doc", delete=False) as temp_file:
+            temp_file.write(file_content)
+            temp_file.flush()
+            with open(temp_file.name, "rb") as file:
+                elements = partition_via_api(
+                    file=file,
+                    metadata_filename=temp_file.name,
+                    api_url=dify_config.UNSTRUCTURED_API_URL,
+                    api_key=dify_config.UNSTRUCTURED_API_KEY,
+                )
+            os.unlink(temp_file.name)
+        return "\n".join([getattr(element, "text", "") for element in elements])
+    except Exception as e:
+        raise TextExtractionError(f"Failed to extract text from DOC: {str(e)}") from e
+
+
+def _extract_text_from_docx(file_content: bytes) -> str:
+    """
+    Extract text from a DOCX file.
     For now support only paragraph and table add more if needed
     """
     try:
@@ -255,13 +285,13 @@ def _extract_text_from_doc(file_content: bytes) -> str:
 
                         text.append(markdown_table)
                 except Exception as e:
-                    logger.warning(f"Failed to extract table from DOC/DOCX: {e}")
+                    logger.warning(f"Failed to extract table from DOC: {e}")
                     continue
 
         return "\n".join(text)
 
     except Exception as e:
-        raise TextExtractionError(f"Failed to extract text from DOC/DOCX: {str(e)}") from e
+        raise TextExtractionError(f"Failed to extract text from DOCX: {str(e)}") from e
 
 
 def _download_file_content(file: File) -> bytes:
@@ -329,14 +359,29 @@ def _extract_text_from_excel(file_content: bytes) -> str:
 
 
 def _extract_text_from_ppt(file_content: bytes) -> str:
+    from unstructured.partition.api import partition_via_api
     from unstructured.partition.ppt import partition_ppt
 
     try:
-        with io.BytesIO(file_content) as file:
-            elements = partition_ppt(file=file)
+        if dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY:
+            with tempfile.NamedTemporaryFile(suffix=".ppt", delete=False) as temp_file:
+                temp_file.write(file_content)
+                temp_file.flush()
+                with open(temp_file.name, "rb") as file:
+                    elements = partition_via_api(
+                        file=file,
+                        metadata_filename=temp_file.name,
+                        api_url=dify_config.UNSTRUCTURED_API_URL,
+                        api_key=dify_config.UNSTRUCTURED_API_KEY,
+                    )
+                os.unlink(temp_file.name)
+        else:
+            with io.BytesIO(file_content) as file:
+                elements = partition_ppt(file=file)
         return "\n".join([getattr(element, "text", "") for element in elements])
+
     except Exception as e:
-        raise TextExtractionError(f"Failed to extract text from PPT: {str(e)}") from e
+        raise TextExtractionError(f"Failed to extract text from PPTX: {str(e)}") from e
 
 
 def _extract_text_from_pptx(file_content: bytes) -> str:
diff --git a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py
index 1a550ec530..5dfdfc0ebd 100644
--- a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py
+++ b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py
@@ -8,7 +8,7 @@ from core.variables.variables import StringVariable
 from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.nodes.document_extractor import DocumentExtractorNode, DocumentExtractorNodeData
 from core.workflow.nodes.document_extractor.node import (
-    _extract_text_from_doc,
+    _extract_text_from_docx,
     _extract_text_from_pdf,
     _extract_text_from_plain_text,
 )
@@ -120,7 +120,7 @@ def test_run_extract_text(
         monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_pdf", mock_pdf_extract)
     elif mime_type.startswith("application/vnd.openxmlformats"):
         mock_docx_extract = Mock(return_value=expected_text[0])
-        monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_doc", mock_docx_extract)
+        monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_docx", mock_docx_extract)
 
     result = document_extractor_node._run()
 
@@ -163,14 +163,14 @@ def test_extract_text_from_pdf(mock_pdf_document):
 
 
 @patch("docx.Document")
-def test_extract_text_from_doc(mock_document):
+def test_extract_text_from_docx(mock_document):
     mock_paragraph1 = Mock()
     mock_paragraph1.text = "Paragraph 1"
     mock_paragraph2 = Mock()
     mock_paragraph2.text = "Paragraph 2"
     mock_document.return_value.paragraphs = [mock_paragraph1, mock_paragraph2]
 
-    text = _extract_text_from_doc(b"PK\x03\x04")
+    text = _extract_text_from_docx(b"PK\x03\x04")
     assert text == "Paragraph 1\nParagraph 2"
 
 
diff --git a/web/app/components/base/prompt-editor/constants.tsx b/web/app/components/base/prompt-editor/constants.tsx
index c78b2fc50a..1288e1539e 100644
--- a/web/app/components/base/prompt-editor/constants.tsx
+++ b/web/app/components/base/prompt-editor/constants.tsx
@@ -52,7 +52,7 @@ export const getInputVars = (text: string): ValueSelector[] => {
 
 export const FILE_EXTS: Record<string, string[]> = {
   [SupportUploadFileTypes.image]: ['JPG', 'JPEG', 'PNG', 'GIF', 'WEBP', 'SVG'],
-  [SupportUploadFileTypes.document]: ['TXT', 'MD', 'MDX', 'MARKDOWN', 'PDF', 'HTML', 'XLSX', 'XLS', 'DOCX', 'CSV', 'EML', 'MSG', 'PPTX', 'PPT', 'XML', 'EPUB'],
+  [SupportUploadFileTypes.document]: ['TXT', 'MD', 'MDX', 'MARKDOWN', 'PDF', 'HTML', 'XLSX', 'XLS', 'DOC', 'DOCX', 'CSV', 'EML', 'MSG', 'PPTX', 'PPT', 'XML', 'EPUB'],
   [SupportUploadFileTypes.audio]: ['MP3', 'M4A', 'WAV', 'WEBM', 'AMR', 'MPGA'],
   [SupportUploadFileTypes.video]: ['MP4', 'MOV', 'MPEG', 'MPGA'],
 }

From a3d3e30e3a884b549fbfe3386f2a81562fb81ba5 Mon Sep 17 00:00:00 2001
From: Yingchun Lai <laiyingchun@apache.org>
Date: Thu, 13 Feb 2025 10:24:05 +0800
Subject: [PATCH 197/217] fix: fix tongyi models blocking mode with
 incremental_output=stream (#13620)

---
 api/core/model_runtime/model_providers/tongyi/llm/llm.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
index 1dce372bba..bb987d4998 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
@@ -197,7 +197,7 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         else:
             # nothing different between chat model and completion model in tongyi
             params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages)
-            response = Generation.call(**params, result_format="message", stream=stream, incremental_output=True)
+            response = Generation.call(**params, result_format="message", stream=stream, incremental_output=stream)
         if stream:
             return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
 

From c398c9cb6a6dc94272fe10041420799d856abeb5 Mon Sep 17 00:00:00 2001
From: jiangbo721 <365065261@qq.com>
Date: Thu, 13 Feb 2025 14:51:38 +0800
Subject: [PATCH 198/217] chore:Remove duplicate code, lines 8 to 27, same as
 lines 29 & 45 to 62. (#13659)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: 刘江波 <jiangbo721@163.com>
---
 api/fields/message_fields.py | 21 ---------------------
 1 file changed, 21 deletions(-)

diff --git a/api/fields/message_fields.py b/api/fields/message_fields.py
index 0571faab08..76e61f0707 100644
--- a/api/fields/message_fields.py
+++ b/api/fields/message_fields.py
@@ -7,27 +7,6 @@ from .raws import FilesContainedField
 
 feedback_fields = {"rating": fields.String}
 
-retriever_resource_fields = {
-    "id": fields.String,
-    "message_id": fields.String,
-    "position": fields.Integer,
-    "dataset_id": fields.String,
-    "dataset_name": fields.String,
-    "document_id": fields.String,
-    "document_name": fields.String,
-    "data_source_type": fields.String,
-    "segment_id": fields.String,
-    "score": fields.Float,
-    "hit_count": fields.Integer,
-    "word_count": fields.Integer,
-    "segment_position": fields.Integer,
-    "index_node_hash": fields.String,
-    "content": fields.String,
-    "created_at": TimestampField,
-}
-
-feedback_fields = {"rating": fields.String}
-
 agent_thought_fields = {
     "id": fields.String,
     "chain_id": fields.String,

From f0b9257387fc70012b0a2637b23a66861e4ec879 Mon Sep 17 00:00:00 2001
From: Novice <857526207@qq.com>
Date: Thu, 13 Feb 2025 18:00:28 +0800
Subject: [PATCH 199/217] fix: error in obtaining end_to_node_id during
 conditional parallel execution (#13673)

---
 api/core/workflow/graph_engine/entities/graph.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/api/core/workflow/graph_engine/entities/graph.py b/api/core/workflow/graph_engine/entities/graph.py
index 1c6b4b6618..5c672c985b 100644
--- a/api/core/workflow/graph_engine/entities/graph.py
+++ b/api/core/workflow/graph_engine/entities/graph.py
@@ -590,8 +590,6 @@ class Graph(BaseModel):
                             start_node_id=node_id,
                             routes_node_ids=routes_node_ids,
                         )
-                        # Exclude conditional branch nodes
-                        and all(edge.run_condition is None for edge in reverse_edge_mapping.get(node_id, []))
                     ):
                         if node_id not in merge_branch_node_ids:
                             merge_branch_node_ids[node_id] = []

From 33a565a719036a99c95745944ebdff1432abddc9 Mon Sep 17 00:00:00 2001
From: llinvokerl <38915183+llinvokerl@users.noreply.github.com>
Date: Thu, 13 Feb 2025 19:35:03 +0800
Subject: [PATCH 200/217] perf: Implemented short-circuit evaluation for
 logical conditions (#13674)

Co-authored-by: liusurong.lsr <liusurong.lsr@alibaba-inc.com>
---
 api/core/workflow/utils/condition/processor.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/api/core/workflow/utils/condition/processor.py b/api/core/workflow/utils/condition/processor.py
index 19473f39d2..c61b3d1861 100644
--- a/api/core/workflow/utils/condition/processor.py
+++ b/api/core/workflow/utils/condition/processor.py
@@ -64,6 +64,10 @@ class ConditionProcessor:
                     expected=expected_value,
                 )
             group_results.append(result)
+            # Implemented short-circuit evaluation for logical conditions
+            if (operator == "and" and not result) or (operator == "or" and result):
+                final_result = result
+                return input_conditions, group_results, final_result
 
         final_result = all(group_results) if operator == "and" else any(group_results)
         return input_conditions, group_results, final_result

From 4e7e172ff3e1a9bb9f89447d0499c59a7db86033 Mon Sep 17 00:00:00 2001
From: jiangbo721 <365065261@qq.com>
Date: Fri, 14 Feb 2025 13:38:17 +0800
Subject: [PATCH 201/217] Chore/format code (#13691)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: 刘江波 <jiangbo721@163.com>
---
 api/controllers/service_api/app/message.py | 21 +-------------------
 api/controllers/web/message.py             | 23 +---------------------
 api/fields/conversation_fields.py          | 15 --------------
 3 files changed, 2 insertions(+), 57 deletions(-)

diff --git a/api/controllers/service_api/app/message.py b/api/controllers/service_api/app/message.py
index 773ea0e0c6..1869cf67c2 100644
--- a/api/controllers/service_api/app/message.py
+++ b/api/controllers/service_api/app/message.py
@@ -10,6 +10,7 @@ from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.app.entities.app_invoke_entities import InvokeFrom
 from fields.conversation_fields import message_file_fields
+from fields.message_fields import feedback_fields, retriever_resource_fields
 from fields.raws import FilesContainedField
 from libs.helper import TimestampField, uuid_value
 from models.model import App, AppMode, EndUser
@@ -18,26 +19,6 @@ from services.message_service import MessageService
 
 
 class MessageListApi(Resource):
-    feedback_fields = {"rating": fields.String}
-    retriever_resource_fields = {
-        "id": fields.String,
-        "message_id": fields.String,
-        "position": fields.Integer,
-        "dataset_id": fields.String,
-        "dataset_name": fields.String,
-        "document_id": fields.String,
-        "document_name": fields.String,
-        "data_source_type": fields.String,
-        "segment_id": fields.String,
-        "score": fields.Float,
-        "hit_count": fields.Integer,
-        "word_count": fields.Integer,
-        "segment_position": fields.Integer,
-        "index_node_hash": fields.String,
-        "content": fields.String,
-        "created_at": TimestampField,
-    }
-
     agent_thought_fields = {
         "id": fields.String,
         "chain_id": fields.String,
diff --git a/api/controllers/web/message.py b/api/controllers/web/message.py
index e6e546690c..494b357d46 100644
--- a/api/controllers/web/message.py
+++ b/api/controllers/web/message.py
@@ -21,7 +21,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from fields.conversation_fields import message_file_fields
-from fields.message_fields import agent_thought_fields
+from fields.message_fields import agent_thought_fields, feedback_fields, retriever_resource_fields
 from fields.raws import FilesContainedField
 from libs import helper
 from libs.helper import TimestampField, uuid_value
@@ -34,27 +34,6 @@ from services.message_service import MessageService
 
 
 class MessageListApi(WebApiResource):
-    feedback_fields = {"rating": fields.String}
-
-    retriever_resource_fields = {
-        "id": fields.String,
-        "message_id": fields.String,
-        "position": fields.Integer,
-        "dataset_id": fields.String,
-        "dataset_name": fields.String,
-        "document_id": fields.String,
-        "document_name": fields.String,
-        "data_source_type": fields.String,
-        "segment_id": fields.String,
-        "score": fields.Float,
-        "hit_count": fields.Integer,
-        "word_count": fields.Integer,
-        "segment_position": fields.Integer,
-        "index_node_hash": fields.String,
-        "content": fields.String,
-        "created_at": TimestampField,
-    }
-
     message_fields = {
         "id": fields.String,
         "conversation_id": fields.String,
diff --git a/api/fields/conversation_fields.py b/api/fields/conversation_fields.py
index c54554a6de..80d1f0baf5 100644
--- a/api/fields/conversation_fields.py
+++ b/api/fields/conversation_fields.py
@@ -95,10 +95,6 @@ model_config_fields = {
     "agent_mode": fields.Raw,
 }
 
-simple_configs_fields = {
-    "prompt_template": fields.String,
-}
-
 simple_model_config_fields = {
     "model": fields.Raw(attribute="model_dict"),
     "pre_prompt": fields.String,
@@ -212,14 +208,3 @@ conversation_infinite_scroll_pagination_fields = {
     "has_more": fields.Boolean,
     "data": fields.List(fields.Nested(simple_conversation_fields)),
 }
-
-conversation_with_model_config_fields = {
-    **simple_conversation_fields,
-    "model_config": fields.Raw,
-}
-
-conversation_with_model_config_infinite_scroll_pagination_fields = {
-    "limit": fields.Integer,
-    "has_more": fields.Boolean,
-    "data": fields.List(fields.Nested(conversation_with_model_config_fields)),
-}

From 62079991b761a6c9f66500cd966b3d4215409f98 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=91=86=E8=90=8C=E9=97=B7=E6=B2=B9=E7=93=B6?=
 <253605712@qq.com>
Date: Fri, 14 Feb 2025 14:34:59 +0800
Subject: [PATCH 202/217] fix:Knowledge Base with Parent-Child segment mode not
 support in Agent (#13663)

---
 .../dataset_retriever_tool.py                 | 87 ++++++++++---------
 1 file changed, 46 insertions(+), 41 deletions(-)

diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py b/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py
index b382016473..8d6e821f4c 100644
--- a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py
+++ b/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py
@@ -3,11 +3,13 @@ from typing import Any
 from pydantic import BaseModel, Field
 
 from core.rag.datasource.retrieval_service import RetrievalService
+from core.rag.entities.context_entities import DocumentContext
 from core.rag.models.document import Document as RetrievalDocument
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 from extensions.ext_database import db
-from models.dataset import Dataset, Document, DocumentSegment
+from models.dataset import Dataset
+from models.dataset import Document as DatasetDocument
 from services.external_knowledge_service import ExternalDatasetService
 
 default_retrieval_model = {
@@ -54,7 +56,6 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
 
         if not dataset:
             return ""
-
         for hit_callback in self.hit_callbacks:
             hit_callback.on_query(query, dataset.id)
         if dataset.provider == "external":
@@ -125,7 +126,6 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
                     )
                 else:
                     documents = []
-
                 for hit_callback in self.hit_callbacks:
                     hit_callback.on_tool_end(documents)
                 document_score_list = {}
@@ -134,50 +134,46 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
                         if item.metadata is not None and item.metadata.get("score"):
                             document_score_list[item.metadata["doc_id"]] = item.metadata["score"]
                 document_context_list = []
-                index_node_ids = [document.metadata["doc_id"] for document in documents]
-                segments = DocumentSegment.query.filter(
-                    DocumentSegment.dataset_id == self.dataset_id,
-                    DocumentSegment.completed_at.isnot(None),
-                    DocumentSegment.status == "completed",
-                    DocumentSegment.enabled == True,
-                    DocumentSegment.index_node_id.in_(index_node_ids),
-                ).all()
-
-                if segments:
-                    index_node_id_to_position = {id: position for position, id in enumerate(index_node_ids)}
-                    sorted_segments = sorted(
-                        segments, key=lambda segment: index_node_id_to_position.get(segment.index_node_id, float("inf"))
-                    )
-                    for segment in sorted_segments:
+                records = RetrievalService.format_retrieval_documents(documents)
+                if records:
+                    for record in records:
+                        segment = record.segment
                         if segment.answer:
                             document_context_list.append(
-                                f"question:{segment.get_sign_content()} answer:{segment.answer}"
+                                DocumentContext(
+                                    content=f"question:{segment.get_sign_content()} answer:{segment.answer}",
+                                    score=record.score,
+                                )
                             )
                         else:
-                            document_context_list.append(segment.get_sign_content())
+                            document_context_list.append(
+                                DocumentContext(
+                                    content=segment.get_sign_content(),
+                                    score=record.score,
+                                )
+                            )
+                    retrieval_resource_list = []
                     if self.return_resource:
-                        context_list = []
-                        resource_number = 1
-                        for segment in sorted_segments:
-                            document_segment = Document.query.filter(
-                                Document.id == segment.document_id,
-                                Document.enabled == True,
-                                Document.archived == False,
+                        for record in records:
+                            segment = record.segment
+                            dataset = Dataset.query.filter_by(id=segment.dataset_id).first()
+                            document = DatasetDocument.query.filter(
+                                DatasetDocument.id == segment.document_id,
+                                DatasetDocument.enabled == True,
+                                DatasetDocument.archived == False,
                             ).first()
-                            if not document_segment:
-                                continue
-                            if dataset and document_segment:
+                            if dataset and document:
                                 source = {
-                                    "position": resource_number,
                                     "dataset_id": dataset.id,
                                     "dataset_name": dataset.name,
-                                    "document_id": document_segment.id,
-                                    "document_name": document_segment.name,
-                                    "data_source_type": document_segment.data_source_type,
+                                    "document_id": document.id,  # type: ignore
+                                    "document_name": document.name,  # type: ignore
+                                    "data_source_type": document.data_source_type,  # type: ignore
                                     "segment_id": segment.id,
                                     "retriever_from": self.retriever_from,
-                                    "score": document_score_list.get(segment.index_node_id, None),
+                                    "score": record.score or 0.0,
                                 }
+
                                 if self.retriever_from == "dev":
                                     source["hit_count"] = segment.hit_count
                                     source["word_count"] = segment.word_count
@@ -187,10 +183,19 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
                                     source["content"] = f"question:{segment.content} \nanswer:{segment.answer}"
                                 else:
                                     source["content"] = segment.content
-                                context_list.append(source)
-                            resource_number += 1
+                                retrieval_resource_list.append(source)
 
-                        for hit_callback in self.hit_callbacks:
-                            hit_callback.return_retriever_resource_info(context_list)
-
-                return str("\n".join(document_context_list))
+            if self.return_resource and retrieval_resource_list:
+                retrieval_resource_list = sorted(
+                    retrieval_resource_list,
+                    key=lambda x: x.get("score") or 0.0,
+                    reverse=True,
+                )
+                for position, item in enumerate(retrieval_resource_list, start=1):  # type: ignore
+                    item["position"] = position  # type: ignore
+                for hit_callback in self.hit_callbacks:
+                    hit_callback.return_retriever_resource_info(retrieval_resource_list)
+            if document_context_list:
+                document_context_list = sorted(document_context_list, key=lambda x: x.score or 0.0, reverse=True)
+                return str("\n".join([document_context.content for document_context in document_context_list]))
+            return ""

From 8a0aa91ed7d080d6f82d1a3ea092f5c6fe1b11ca Mon Sep 17 00:00:00 2001
From: Vasu Negi <vasu-negi@users.noreply.github.com>
Date: Fri, 14 Feb 2025 03:02:04 -0600
Subject: [PATCH 203/217] Non-Streaming Models Do Not Return Results Properly
 in _handle_invoke_result (#13571)

Co-authored-by: crazywoola <427733928@qq.com>
---
 api/core/workflow/nodes/llm/node.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py
index 7e28aa7a3f..9f30048fe6 100644
--- a/api/core/workflow/nodes/llm/node.py
+++ b/api/core/workflow/nodes/llm/node.py
@@ -247,6 +247,24 @@ class LLMNode(BaseNode[LLMNodeData]):
 
     def _handle_invoke_result(self, invoke_result: LLMResult | Generator) -> Generator[NodeEvent, None, None]:
         if isinstance(invoke_result, LLMResult):
+            content = invoke_result.message.content
+            if content is None:
+                message_text = ""
+            elif isinstance(content, str):
+                message_text = content
+            elif isinstance(content, list):
+                # Assuming the list contains PromptMessageContent objects with a "data" attribute
+                message_text = "".join(
+                    item.data if hasattr(item, "data") and isinstance(item.data, str) else str(item) for item in content
+                )
+            else:
+                message_text = str(content)
+
+            yield ModelInvokeCompletedEvent(
+                text=message_text,
+                usage=invoke_result.usage,
+                finish_reason=None,
+            )
             return
 
         model = None

From 1f63028a838a9c9a2215e8d9d7366ca2d81c1489 Mon Sep 17 00:00:00 2001
From: le0zh <newlight@qq.com>
Date: Fri, 14 Feb 2025 17:42:09 +0800
Subject: [PATCH 204/217] fix: reranking_enable setting failed #13668 (#13721)

---
 web/app/components/workflow/nodes/knowledge-retrieval/utils.ts | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
index fd4a5806eb..eccafa9184 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
@@ -167,9 +167,6 @@ export const getMultipleRetrievalConfig = (
         }
       }
     }
-    else {
-      result.reranking_enable = true
-    }
   }
 
   if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {

From 284707c3a821bf466ca5127fec3e578dc2a2a715 Mon Sep 17 00:00:00 2001
From: Hundredwz <1808096180@qq.com>
Date: Sat, 15 Feb 2025 12:19:01 +0800
Subject: [PATCH 205/217] perf(message): optimize message loading and reduce
 SQL queries (#13720)

---
 api/controllers/service_api/app/message.py |  2 +-
 api/services/message_service.py            | 40 ++++++++--------------
 2 files changed, 15 insertions(+), 27 deletions(-)

diff --git a/api/controllers/service_api/app/message.py b/api/controllers/service_api/app/message.py
index 1869cf67c2..d5a5afd6a6 100644
--- a/api/controllers/service_api/app/message.py
+++ b/api/controllers/service_api/app/message.py
@@ -70,7 +70,7 @@ class MessageListApi(Resource):
 
         try:
             return MessageService.pagination_by_first_id(
-                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
+                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
diff --git a/api/services/message_service.py b/api/services/message_service.py
index c17122ef64..480d038623 100644
--- a/api/services/message_service.py
+++ b/api/services/message_service.py
@@ -46,6 +46,8 @@ class MessageService:
             app_model=app_model, user=user, conversation_id=conversation_id
         )
 
+        fetch_limit = limit + 1
+
         if first_id:
             first_message = (
                 db.session.query(Message)
@@ -64,7 +66,7 @@ class MessageService:
                     Message.id != first_message.id,
                 )
                 .order_by(Message.created_at.desc())
-                .limit(limit)
+                .limit(fetch_limit)
                 .all()
             )
         else:
@@ -72,25 +74,14 @@ class MessageService:
                 db.session.query(Message)
                 .filter(Message.conversation_id == conversation.id)
                 .order_by(Message.created_at.desc())
-                .limit(limit)
+                .limit(fetch_limit)
                 .all()
             )
 
         has_more = False
-        if len(history_messages) == limit:
-            current_page_first_message = history_messages[-1]
-            rest_count = (
-                db.session.query(Message)
-                .filter(
-                    Message.conversation_id == conversation.id,
-                    Message.created_at < current_page_first_message.created_at,
-                    Message.id != current_page_first_message.id,
-                )
-                .count()
-            )
-
-            if rest_count > 0:
-                has_more = True
+        if len(history_messages) > limit:
+            has_more = True
+            history_messages = history_messages[:-1]
 
         if order == "asc":
             history_messages = list(reversed(history_messages))
@@ -112,6 +103,8 @@ class MessageService:
 
         base_query = db.session.query(Message)
 
+        fetch_limit = limit + 1
+
         if conversation_id is not None:
             conversation = ConversationService.get_conversation(
                 app_model=app_model, user=user, conversation_id=conversation_id
@@ -131,21 +124,16 @@ class MessageService:
             history_messages = (
                 base_query.filter(Message.created_at < last_message.created_at, Message.id != last_message.id)
                 .order_by(Message.created_at.desc())
-                .limit(limit)
+                .limit(fetch_limit)
                 .all()
             )
         else:
-            history_messages = base_query.order_by(Message.created_at.desc()).limit(limit).all()
+            history_messages = base_query.order_by(Message.created_at.desc()).limit(fetch_limit).all()
 
         has_more = False
-        if len(history_messages) == limit:
-            current_page_first_message = history_messages[-1]
-            rest_count = base_query.filter(
-                Message.created_at < current_page_first_message.created_at, Message.id != current_page_first_message.id
-            ).count()
-
-            if rest_count > 0:
-                has_more = True
+        if len(history_messages) > limit:
+            has_more = True
+            history_messages = history_messages[:-1]
 
         return InfiniteScrollPagination(data=history_messages, limit=limit, has_more=has_more)
 

From 035e54ba4de153184da4f33a8a80352a30cb1f75 Mon Sep 17 00:00:00 2001
From: kurokobo <kuro664@gmail.com>
Date: Sun, 16 Feb 2025 22:39:40 +0900
Subject: [PATCH 206/217] fix: add install a package to improve the accuracy of
 guessing mime type and file extension (main) (#13752)

---
 api/Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/api/Dockerfile b/api/Dockerfile
index 8207c66f83..2c7b3bba4a 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -58,6 +58,8 @@ RUN \
         expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
         # install a chinese font to support the use of tools like matplotlib
         fonts-noto-cjk \
+        # install a package to improve the accuracy of guessing mime type and file extension
+        media-types \
         # install libmagic to support the use of python-magic guess MIMETYPE
         libmagic1 \
     && apt-get autoremove -y \

From ed7d7a74ea475400a9f4b13e148cbd16cac8cc17 Mon Sep 17 00:00:00 2001
From: Xiyuan Chen <52963600+GareArc@users.noreply.github.com>
Date: Sun, 16 Feb 2025 20:31:52 -0500
Subject: [PATCH 207/217] Feat/compliance (#13548)

---
 api/controllers/console/__init__.py           |  2 +-
 api/controllers/console/billing/compliance.py | 35 +++++++++++++++++++
 api/controllers/console/error.py              |  6 ++++
 api/services/billing_service.py               | 29 +++++++++++++++
 4 files changed, 71 insertions(+), 1 deletion(-)
 create mode 100644 api/controllers/console/billing/compliance.py

diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py
index cb6b0d097b..a630f16be7 100644
--- a/api/controllers/console/__init__.py
+++ b/api/controllers/console/__init__.py
@@ -70,7 +70,7 @@ from .app import (
 from .auth import activate, data_source_bearer_auth, data_source_oauth, forgot_password, login, oauth
 
 # Import billing controllers
-from .billing import billing
+from .billing import billing, compliance
 
 # Import datasets controllers
 from .datasets import (
diff --git a/api/controllers/console/billing/compliance.py b/api/controllers/console/billing/compliance.py
new file mode 100644
index 0000000000..6d5d668709
--- /dev/null
+++ b/api/controllers/console/billing/compliance.py
@@ -0,0 +1,35 @@
+from flask import request
+from flask_login import current_user  # type: ignore
+from flask_restful import Resource, reqparse  # type: ignore
+
+from libs.helper import extract_remote_ip
+from libs.login import login_required
+from services.billing_service import BillingService
+
+from .. import api
+from ..wraps import account_initialization_required, only_edition_cloud, setup_required
+
+
+class ComplianceApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @only_edition_cloud
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument("doc_name", type=str, required=True, location="args")
+        args = parser.parse_args()
+
+        ip_address = extract_remote_ip(request)
+        device_info = request.headers.get("User-Agent", "Unknown device")
+
+        return BillingService.get_compliance_download_link(
+            doc_name=args.doc_name,
+            account_id=current_user.id,
+            tenant_id=current_user.current_tenant_id,
+            ip=ip_address,
+            device_info=device_info,
+        )
+
+
+api.add_resource(ComplianceApi, "/compliance/download")
diff --git a/api/controllers/console/error.py b/api/controllers/console/error.py
index ee87138a44..bd4ae9dc7f 100644
--- a/api/controllers/console/error.py
+++ b/api/controllers/console/error.py
@@ -101,3 +101,9 @@ class AccountInFreezeError(BaseHTTPException):
         "This email account has been deleted within the past 30 days"
         "and is temporarily unavailable for new account registration."
     )
+
+
+class CompilanceRateLimitError(BaseHTTPException):
+    error_code = "compilance_rate_limit"
+    description = "Rate limit exceeded for downloading compliance report."
+    code = 429
diff --git a/api/services/billing_service.py b/api/services/billing_service.py
index 0d50a2aa8c..ad141035cc 100644
--- a/api/services/billing_service.py
+++ b/api/services/billing_service.py
@@ -5,6 +5,7 @@ import httpx
 from tenacity import retry, retry_if_exception_type, stop_before_delay, wait_fixed
 
 from extensions.ext_database import db
+from libs.helper import RateLimiter
 from models.account import TenantAccountJoin, TenantAccountRole
 
 
@@ -12,6 +13,8 @@ class BillingService:
     base_url = os.environ.get("BILLING_API_URL", "BILLING_API_URL")
     secret_key = os.environ.get("BILLING_API_SECRET_KEY", "BILLING_API_SECRET_KEY")
 
+    compliance_download_rate_limiter = RateLimiter("compliance_download_rate_limiter", 4, 60)
+
     @classmethod
     def get_info(cls, tenant_id: str):
         params = {"tenant_id": tenant_id}
@@ -91,3 +94,29 @@ class BillingService:
         """Update account deletion feedback."""
         json = {"email": email, "feedback": feedback}
         return cls._send_request("POST", "/account/delete-feedback", json=json)
+
+    @classmethod
+    def get_compliance_download_link(
+        cls,
+        doc_name: str,
+        account_id: str,
+        tenant_id: str,
+        ip: str,
+        device_info: str,
+    ):
+        limiter_key = f"{account_id}:{tenant_id}"
+        if cls.compliance_download_rate_limiter.is_rate_limited(limiter_key):
+            from controllers.console.error import CompilanceRateLimitError
+
+            raise CompilanceRateLimitError()
+
+        json = {
+            "doc_name": doc_name,
+            "account_id": account_id,
+            "tenant_id": tenant_id,
+            "ip_address": ip,
+            "device_info": device_info,
+        }
+        res = cls._send_request("POST", "/compliance/download", json=json)
+        cls.compliance_download_rate_limiter.increment_rate_limit(limiter_key)
+        return res

From 7f9eb35e1fb5d120a062a8c01645ba7bcea80616 Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 17 Feb 2025 09:43:41 +0800
Subject: [PATCH 208/217] Feat: compliance report download (#13282)

---
 .../base/icons/assets/public/common/gdpr.svg  |   53 +
 .../base/icons/assets/public/common/iso.svg   |    1 +
 .../base/icons/assets/public/common/soc2.svg  |  103 ++
 .../base/icons/src/public/common/Gdpr.json    |  340 +++++
 .../base/icons/src/public/common/Gdpr.tsx     |   16 +
 .../base/icons/src/public/common/Iso.json     |  121 ++
 .../base/icons/src/public/common/Iso.tsx      |   16 +
 .../base/icons/src/public/common/Soc2.json    |  938 +++++++++++++
 .../base/icons/src/public/common/Soc2.tsx     |   16 +
 .../base/icons/src/public/common/index.ts     |    3 +
 .../icons/src/public/knowledge/Chunk.json     |   18 +-
 .../icons/src/public/knowledge/Collapse.json  |    6 +-
 .../public/knowledge/LayoutRight2LineMod.json |    2 +-
 .../header/account-dropdown/compliance.tsx    |  185 +++
 .../header/account-dropdown/index.tsx         |  127 +-
 .../header/account-dropdown/support.tsx       |   94 ++
 .../workplace-selector/index.tsx              |   25 +-
 .../components/header/github-star/index.tsx   |   47 +-
 web/app/components/header/index.tsx           |    8 +-
 web/config/index.ts                           |    1 +
 web/i18n/en-US/common.ts                      |   15 +-
 web/i18n/zh-Hans/common.ts                    |   13 +
 web/service/common.ts                         |   15 +-
 web/themes/dark.css                           | 1178 ++++++++--------
 web/themes/light.css                          | 1186 +++++++++--------
 web/themes/tailwind-theme-var-define.ts       |    3 +-
 26 files changed, 3207 insertions(+), 1323 deletions(-)
 create mode 100644 web/app/components/base/icons/assets/public/common/gdpr.svg
 create mode 100644 web/app/components/base/icons/assets/public/common/iso.svg
 create mode 100644 web/app/components/base/icons/assets/public/common/soc2.svg
 create mode 100644 web/app/components/base/icons/src/public/common/Gdpr.json
 create mode 100644 web/app/components/base/icons/src/public/common/Gdpr.tsx
 create mode 100644 web/app/components/base/icons/src/public/common/Iso.json
 create mode 100644 web/app/components/base/icons/src/public/common/Iso.tsx
 create mode 100644 web/app/components/base/icons/src/public/common/Soc2.json
 create mode 100644 web/app/components/base/icons/src/public/common/Soc2.tsx
 create mode 100644 web/app/components/header/account-dropdown/compliance.tsx
 create mode 100644 web/app/components/header/account-dropdown/support.tsx

diff --git a/web/app/components/base/icons/assets/public/common/gdpr.svg b/web/app/components/base/icons/assets/public/common/gdpr.svg
new file mode 100644
index 0000000000..163a983ed3
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/common/gdpr.svg
@@ -0,0 +1,53 @@
+<svg width="23" height="28" viewBox="0 0 23 28" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="Group">
+<g id="Group_2">
+<path id="Vector" d="M11.0371 28L10.7001 27.8596C8.90271 27.1013 0 23.001 0 16.8786V4.32497L11.0371 0L22.0742 4.32497V16.8786C22.0742 23.001 13.1434 27.1013 11.3741 27.8596L11.0371 28ZM1.71314 5.47643V16.8786C1.71314 18.9569 3.11735 21.0632 5.86961 23.1414C7.89167 24.658 10.0822 25.7252 11.0652 26.1464C12.0481 25.6971 14.2387 24.658 16.2608 23.1414C19.013 21.0632 20.4173 18.9569 20.4173 16.8786V5.47643L11.0652 1.82548L1.71314 5.47643Z" fill="white"/>
+</g>
+<g id="Group_3">
+<g id="Group_4">
+<path id="Vector_2" d="M11.0371 0.898682V27.0732C12.666 26.3711 21.2317 22.4674 21.2317 16.8786C21.2317 10.672 21.2317 4.88664 21.2317 4.88664L11.0371 0.898682Z" fill="#1611D3"/>
+</g>
+<g id="Group_5">
+<path id="Vector_3" d="M11.0371 0.898682V27.0732C9.40823 26.3711 0.842529 22.4674 0.842529 16.8786C0.842529 10.672 0.842529 4.88664 0.842529 4.88664L11.0371 0.898682Z" fill="#0D00A0"/>
+</g>
+</g>
+<g id="Group_6">
+<path id="Vector_4" d="M7.1333 15.5306C7.04905 15.5867 6.93671 15.6429 6.82437 15.671C6.71204 15.7272 6.5997 15.7552 6.48736 15.7833C6.37503 15.8114 6.23461 15.8395 6.0661 15.8676C5.92568 15.8957 5.72909 15.8957 5.56058 15.8957C5.33591 15.8957 5.1674 15.8676 4.97081 15.8114C4.80231 15.7552 4.6338 15.671 4.52147 15.5867C4.40913 15.5025 4.26871 15.3621 4.18445 15.2216C4.07212 15.0812 4.01595 14.9408 3.9317 14.7723C3.84745 14.6038 3.81936 14.4353 3.79128 14.2668C3.76319 14.0983 3.73511 13.9017 3.73511 13.7332C3.73511 13.5366 3.76319 13.34 3.79128 13.1715C3.81936 12.9749 3.87553 12.8064 3.95978 12.6379C4.04403 12.4694 4.12829 12.329 4.24062 12.1885C4.35296 12.0481 4.4653 11.9358 4.60572 11.8235C4.74614 11.7111 4.91465 11.6549 5.08315 11.5988C5.25166 11.5426 5.44825 11.5145 5.64484 11.5145C5.75717 11.5145 5.84143 11.5145 5.92568 11.5145C6.00993 11.5145 6.09418 11.5426 6.15035 11.5426C6.2346 11.5426 6.29077 11.5707 6.34694 11.5988C6.40311 11.6269 6.48736 11.6549 6.54353 11.683C6.5997 11.7111 6.68395 11.7673 6.74012 11.8235C6.79629 11.8796 6.88054 11.9358 6.9648 11.992L6.57162 12.5256C6.48736 12.4413 6.40311 12.3571 6.31886 12.3009C6.23461 12.2447 6.15035 12.1885 6.09418 12.1605C6.00993 12.1324 5.92568 12.1043 5.84143 12.1043C5.75717 12.1043 5.67292 12.0762 5.56058 12.0762C5.39208 12.0762 5.22357 12.1043 5.08315 12.1885C4.94273 12.2728 4.83039 12.3851 4.74614 12.5256C4.66189 12.666 4.57764 12.8345 4.52147 13.003C4.4653 13.1715 4.43721 13.3962 4.43721 13.6208C4.43721 13.8455 4.4653 14.0702 4.49338 14.2668C4.52147 14.4634 4.60572 14.66 4.68997 14.8004C4.77422 14.9408 4.88656 15.0812 5.05507 15.1655C5.19549 15.2497 5.36399 15.3059 5.58867 15.3059C5.64484 15.3059 5.70101 15.3059 5.75717 15.3059C5.81334 15.3059 5.89759 15.3059 5.95376 15.2778C6.00993 15.2778 6.09418 15.2497 6.15035 15.2497C6.20652 15.2497 6.26269 15.2216 6.31886 15.2216V13.7894H7.04905V15.5306H7.1333Z" fill="white"/>
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diff --git a/web/app/components/base/icons/src/public/common/Gdpr.json b/web/app/components/base/icons/src/public/common/Gdpr.json
new file mode 100644
index 0000000000..3605030eb8
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Gdpr.json
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+							}
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+					},
+					{
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+										"children": []
+									}
+								]
+							},
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+								"name": "g",
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+								},
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+											"fill": "#F7BC37"
+										},
+										"children": []
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"id": "Group_15"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "path",
+										"attributes": {
+											"id": "Vector_15",
+											"d": "M5.05529 7.9198L4.77444 8.81849H3.81958L4.57785 9.38018L4.29701 10.307L5.05529 9.74528L5.84165 10.307L5.53272 9.38018L6.31908 8.81849H5.36421L5.05529 7.9198Z",
+											"fill": "#F7BC37"
+										},
+										"children": []
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"id": "Group_16"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "path",
+										"attributes": {
+											"id": "Vector_16",
+											"d": "M7.77942 18.985L7.47049 19.8837H6.51562L7.30199 20.4454L6.99306 21.3721L7.77942 20.8105L8.53769 21.3721L8.25685 20.4454L9.01512 19.8837H8.06026L7.77942 18.985Z",
+											"fill": "#F7BC37"
+										},
+										"children": []
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"id": "Group_17"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "path",
+										"attributes": {
+											"id": "Vector_17",
+											"d": "M5.05529 17.019L4.77444 17.9458H3.81958L4.57785 18.5075L4.29701 19.4062L5.05529 18.8445L5.84165 19.4062L5.53272 18.5075L6.31908 17.9458H5.36421L5.05529 17.019Z",
+											"fill": "#F7BC37"
+										},
+										"children": []
+									}
+								]
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "Gdpr"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Gdpr.tsx b/web/app/components/base/icons/src/public/common/Gdpr.tsx
new file mode 100644
index 0000000000..106299da8a
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Gdpr.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Gdpr.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Gdpr'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/common/Iso.json b/web/app/components/base/icons/src/public/common/Iso.json
new file mode 100644
index 0000000000..6864a591c4
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Iso.json
@@ -0,0 +1,121 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"fill": "none",
+			"height": "64",
+			"viewBox": "0 0 64 64",
+			"width": "64",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "m8 9.82143c0-2.6628 2.2386-4.82143 5-4.82143h38c2.7614 0 5 2.15863 5 4.82143v44.35717c0 2.6628-2.2386 4.8214-5 4.8214h-38c-2.7614 0-5-2.1586-5-4.8214z",
+					"fill": "#2a3e92"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"fill": "#fff"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m43.4424 46.9899v-1.84h3.08v7.31h-2.05v-5.47z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m36.5801 48.7c0-1.1467.2333-2.05.7-2.71.4666-.66 1.2-.99 2.2-.99s1.7333.33 2.2.99c.4733.66.71 1.5633.71 2.71 0 1.16-.2334 2.07-.7 2.73-.4667.66-1.2034.99-2.21.99-1.0067 0-1.7434-.33-2.21-.99-.46-.66-.69-1.57-.69-2.73zm3.87 0c0-.6-.0634-1.0567-.19-1.37-.1267-.32-.3867-.48-.78-.48-.3934 0-.6534.16-.78.48-.1267.3133-.19.77-.19 1.37 0 .6133.06 1.08.18 1.4.1266.3133.39.47.79.47s.66-.1567.78-.47c.1266-.32.19-.7867.19-1.4z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
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+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m28.4533 46.6099-2.4 5.85h-2.01l2.42-5.62h-2.85v-1.68h4.84z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m17.52 50.89c.6467-.5067 1.1767-.9433 1.59-1.31s.76-.7433 1.04-1.13c.28-.3933.42-.7667.42-1.12 0-.2133-.05-.38-.15-.5-.0933-.12-.2333-.18-.42-.18-.1933 0-.3433.0833-.45.25-.1067.16-.1567.3967-.15.71h-1.9c.02-.5933.15-1.0833.39-1.47.24-.3933.5533-.68.94-.86.3867-.1867.8167-.28 1.29-.28.82 0 1.43.2033 1.83.61s.6.9333.6 1.58c0 .6933-.2333 1.3433-.7 1.95-.46.6067-1.0367 1.15-1.73 1.63h2.5v1.59h-5.1z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"clip-rule": "evenodd",
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+							"fill-rule": "evenodd"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m30.8906 19.1863c.5565.0678.8704.082 2.365.0927l1.7194.0143v3.849h-3.0642l-.0214-.8383-.214-.0856c-.6136-.2426-1.4376-.3746-2.3544-.3781-.9025 0-1.3091.0784-1.6979.3388-.3996.2605-.4566.792-.1249 1.1201.346.3496.7705.4602 2.6611.6956 1.6338.2069 2.2652.3389 3.0571.6493.3817.1498.8633.4316 1.1629.6849.4423.3674.8062.9738.9738 1.6159.1249.478.1606 1.3983.0714 1.887-.1534.8348-.4673 1.434-1.0416 1.9798-.6207.5922-1.4198.981-2.522 1.2271-1.2164.2747-2.9394.3175-4.6659.1213-.5922-.0642-.9346-.0785-2.3579-.0892l-1.6694-.0142v-3.8133h3.0677v.7847l.1391.0714c.4531.2283 1.3841.3959 2.3651.4173 1.6908.0428 2.4506-.2568 2.4542-.9702 0-.2783-.0785-.4281-.3139-.5922-.3425-.2426-.824-.3531-2.3615-.5493-1.8478-.239-2.579-.4067-3.3817-.7848-1.2806-.6064-1.912-1.5303-2.0404-2.9857-.0713-.7706.0535-1.4911.3567-2.1189.6814-1.4091 2.2402-2.2188 4.6552-2.4186.4851-.0392 2.1617.0143 2.7824.0892z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"clip-rule": "evenodd",
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+							"fill-rule": "evenodd"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"d": "m22.2402 22.5002h-2.069v6.4209h2.069v3.1748l-8.2224-.0178-.0107-1.5803-.0071-1.5767h2.069v-6.4209l-1.0238-.0071-1.0274-.0107-.0107-1.5803-.0071-1.5767h8.2402z"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"clip-rule": "evenodd",
+							"d": "m22.5684 35.9913c-.5601-.4852-1.5518-1.5874-2.0048-2.2295l-.1177-.1677h-.5315c-.4174 0-.528.0107-.5066.0428.4495.767 1.4769 2.0012 2.2973 2.7646 2.3865 2.2188 5.1367 3.503 8.4007 3.9239.6278.0785 2.547.0892 3.2105.0178 4.0202-.4459 7.6551-2.472 10.1165-5.6432.2747-.3532.7455-1.031.7455-1.0773 0-.0143-.2318-.0286-.5136-.0286h-.5101l-.3104.4067c-.1676.2247-.4816.6064-.6956.8525-.371.4174-1.1415 1.1843-1.3127 1.2985-.0713.0464-.132.0392-.6421-.0928-.9845-.2497-2.283-.4958-3.3282-.6278-.2461-.0285-.4958-.0642-.56-.0749l-.1142-.0178.0892-.2569c.0963-.2782.4067-1.3912.4067-1.4518 0-.025-.1499-.0357-.4495-.0285l-.4495.0107-.1177.428c-.0642.2355-.1712.5957-.239.8026l-.1213.3746h-.2318c-.1249 0-.5886-.025-1.0309-.0535-1.4091-.0928-4.4126-.0607-5.5648.0571l-.1998.0214-.1498-.4745-.0158-.053c-.0769-.2586-.1768-.5945-.2268-.7746l-.0963-.346h-.4388c-.3995 0-.4423.0072-.4423.0642 0 .0785.2105.8419.3567 1.3021.0607.1962.107.3567.0999.3602-.0071.0036-.2997.0428-.6528.0857-1.1415.1391-2.2473.3424-3.3639.6171l-.5814.1427zm7.698.0141c-.9631.0535-1.623.0927-1.6337.1034-.0286.0286.4209.9525.6563 1.3591.5066.8704 1.006 1.4554 1.5196 1.7907.3354.2176.5387.289.8704.3175.3246.025.5601-.0285.9239-.214.4103-.2105 1.0024-.8062 1.4055-1.4162.2675-.4031.931-1.6694.931-1.7764 0-.0571-.0749-.0678-.7669-.1142-.585-.0392-3.4352-.0749-3.9061-.0499zm-3.7032.3211c.3603-.0499.7027-.0963.7598-.1035.0606-.0107.1676-.0142.2425-.0107l.1356.0036.1712.3924c.4424 1.0166.9881 1.9156 1.566 2.5755.107.1249.1748.2247.1534.2247s-.264-.0463-.5386-.107c-1.327-.2782-2.654-.7812-3.874-1.4625-.4709-.2604-1.409-.8633-1.4732-.9418-.0286-.0356.0998-.0749.5778-.1783.7527-.1605 1.4233-.2747 2.2795-.3924zm9.2354.0962c-.132.3353-.5743 1.2129-.8062 1.5946-.2497.4137-.5529.8347-.8169 1.1379-.1105.1284-.1926.2354-.1855.2461.0393.0393 1.2521-.2532 1.9014-.4601 1.1664-.371 2.6361-1.0987 3.6991-1.83l.3139-.2176-.189-.0428c-.956-.2212-2.1011-.4281-3.0107-.5458-.3139-.0392-.6279-.0785-.6956-.0892-.0483-.0055-.0779-.0089-.101.0018-.0367.017-.057.0694-.1095.2051z",
+							"fill-rule": "evenodd"
+						},
+						"children": []
+					}
+				]
+			}
+		]
+	},
+	"name": "Iso"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Iso.tsx b/web/app/components/base/icons/src/public/common/Iso.tsx
new file mode 100644
index 0000000000..3c24746829
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Iso.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Iso.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Iso'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/common/Soc2.json b/web/app/components/base/icons/src/public/common/Soc2.json
new file mode 100644
index 0000000000..34080b0adb
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Soc2.json
@@ -0,0 +1,938 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "28",
+			"height": "28",
+			"viewBox": "0 0 28 28",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Group 7"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"d": "M14 28C21.732 28 28 21.732 28 14C28 6.26801 21.732 0 14 0C6.26801 0 0 6.26801 0 14C0 21.732 6.26801 28 14 28Z",
+							"fill": "url(#paint0_linear_6186_11887)"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_2",
+							"d": "M13.9999 24.8636C19.9997 24.8636 24.8636 19.9997 24.8636 13.9999C24.8636 8.00006 19.9997 3.13623 13.9999 3.13623C8.00006 3.13623 3.13623 8.00006 3.13623 13.9999C3.13623 19.9997 8.00006 24.8636 13.9999 24.8636Z",
+							"fill": "url(#paint1_linear_6186_11887)"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"id": "Group"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"id": "Vector_3",
+									"d": "M5.43048 23.2492C5.46819 23.2107 5.48424 23.1666 5.47862 23.1177C5.473 23.0687 5.44412 22.9997 5.39197 22.909C5.33901 22.8192 5.30772 22.7462 5.29809 22.69C5.28365 22.6106 5.30291 22.5432 5.35586 22.4878C5.40721 22.4341 5.4714 22.4124 5.54762 22.4212C5.62384 22.43 5.69605 22.4678 5.76425 22.5344C5.81079 22.5793 5.84368 22.6282 5.86294 22.6812C5.8822 22.7341 5.88621 22.7871 5.87578 22.8384C5.86535 22.8898 5.84048 22.9355 5.80277 22.9748L5.74339 22.9171C5.78993 22.8689 5.80999 22.8152 5.80597 22.755C5.80116 22.6948 5.77147 22.6379 5.71692 22.5841C5.66316 22.5327 5.6094 22.5031 5.55484 22.4966C5.50028 22.4902 5.45455 22.5055 5.41684 22.544C5.38234 22.5793 5.3687 22.6226 5.37512 22.6724C5.38154 22.7221 5.40802 22.7863 5.45455 22.8641C5.50028 22.9419 5.53077 23.0053 5.54521 23.0551C5.55966 23.1048 5.56287 23.1497 5.55404 23.1915C5.54522 23.2332 5.52435 23.2709 5.49066 23.3054C5.4377 23.3608 5.37271 23.3832 5.29649 23.3736C5.22027 23.364 5.14645 23.3247 5.07424 23.2557C5.0253 23.2083 4.98839 23.1554 4.96432 23.0984C4.94025 23.0414 4.93303 22.9861 4.94186 22.9339C4.95148 22.8818 4.97555 22.8352 5.01487 22.7943L5.07424 22.8513C5.0269 22.9002 5.00765 22.9572 5.01647 23.0214C5.0261 23.0856 5.0606 23.1465 5.12158 23.2059C5.17614 23.2581 5.2315 23.2885 5.28686 23.2966C5.34303 23.3046 5.39036 23.2885 5.42888 23.2492H5.43048Z",
+									"fill": "white"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"id": "Vector_4",
+									"d": "M6.31617 23.7556C6.2584 23.8238 6.19662 23.8744 6.12923 23.9065C6.06183 23.9386 5.99524 23.9498 5.92784 23.941C5.86044 23.9321 5.79786 23.9033 5.74009 23.8551C5.65344 23.7821 5.60931 23.6922 5.60771 23.5855C5.6061 23.4788 5.65023 23.3721 5.73849 23.267L5.80268 23.19C5.85964 23.1226 5.92223 23.072 5.98962 23.0399C6.05702 23.0078 6.12522 22.9958 6.19261 23.0046C6.26001 23.0135 6.32259 23.0415 6.37956 23.0897C6.43652 23.1378 6.47584 23.194 6.4967 23.2582C6.51756 23.3224 6.51836 23.3898 6.49991 23.4604C6.48145 23.531 6.44455 23.6 6.38999 23.6666L6.31537 23.7556H6.31617ZM6.32099 23.6224C6.39641 23.5326 6.43492 23.4459 6.43652 23.3609C6.43893 23.2758 6.40443 23.2044 6.33382 23.145C6.26482 23.0873 6.1886 23.0664 6.10436 23.0825C6.02091 23.0993 5.94068 23.1531 5.86365 23.2437L5.79866 23.3216C5.72485 23.4098 5.68634 23.4965 5.68393 23.5823C5.68152 23.6682 5.71522 23.7404 5.78583 23.7998C5.85724 23.8591 5.93426 23.8808 6.0161 23.8631C6.09874 23.8455 6.17817 23.7917 6.25439 23.7003L6.32018 23.6216L6.32099 23.6224Z",
+									"fill": "white"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"id": "Vector_5",
+									"d": "M6.97267 24.3966C6.90367 24.4728 6.82825 24.5153 6.74641 24.5226C6.66457 24.5306 6.58113 24.5041 6.49769 24.4439C6.43912 24.4022 6.3982 24.3501 6.37413 24.2883C6.35006 24.2265 6.34524 24.1599 6.35969 24.0893C6.37413 24.0187 6.40542 23.9481 6.45516 23.8791L6.52898 23.7772C6.57953 23.7074 6.63649 23.6536 6.69988 23.6175C6.76326 23.5814 6.82905 23.5646 6.89565 23.5686C6.96304 23.5726 7.02643 23.5959 7.0866 23.6392C7.17085 23.7002 7.2214 23.7708 7.23744 23.8518C7.25349 23.9328 7.23664 24.0155 7.1869 24.1021L7.1195 24.054C7.19973 23.908 7.17486 23.7892 7.04649 23.6961C6.97508 23.6448 6.89886 23.6304 6.81782 23.6536C6.73678 23.6769 6.66217 23.7347 6.59477 23.8293L6.52497 23.9256C6.45918 24.0163 6.42788 24.1037 6.43029 24.188C6.4327 24.2722 6.4688 24.3388 6.53941 24.3902C6.60921 24.4407 6.6734 24.4616 6.73277 24.4536C6.79215 24.4455 6.84991 24.411 6.90608 24.3509L6.97347 24.399L6.97267 24.3966Z",
+									"fill": "white"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"id": "Vector_6",
+									"d": "M7.31909 24.9735L7.65768 24.4119L7.55578 24.3501L7.58948 24.2939L7.69138 24.3557L7.73631 24.2811C7.77482 24.2177 7.81975 24.1792 7.87271 24.1648C7.92566 24.1503 7.98022 24.1607 8.03799 24.1952C8.06366 24.2105 8.08613 24.2289 8.10458 24.249L8.06527 24.3028C8.04922 24.2867 8.02996 24.2723 8.0075 24.2586C7.96979 24.2362 7.93368 24.2297 7.89838 24.241C7.86308 24.2522 7.83259 24.2787 7.80691 24.322L7.76038 24.399L7.90801 24.4881L7.87431 24.5443L7.72668 24.4552L7.38809 25.0168L7.31989 24.9751L7.31909 24.9735Z",
+									"fill": "white"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
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+									"d": "M18.814 21.5035C18.814 21.4649 18.7995 21.4345 18.7698 21.4128C18.7402 21.3911 18.6896 21.3727 18.6174 21.3574C18.5444 21.3422 18.4874 21.3229 18.4441 21.3013C18.4016 21.2796 18.3703 21.2539 18.3494 21.2234C18.3294 21.1938 18.3189 21.1577 18.3189 21.1167C18.3189 21.0477 18.3478 20.99 18.4064 20.9426C18.4649 20.8953 18.5388 20.8712 18.6294 20.8712C18.7249 20.8712 18.8019 20.8961 18.8605 20.945C18.9199 20.994 18.9496 21.0574 18.9496 21.1336H18.8051C18.8051 21.0943 18.7883 21.0606 18.7554 21.0317C18.7217 21.0036 18.68 20.9892 18.6294 20.9892C18.5789 20.9892 18.5364 21.0004 18.5067 21.0237C18.477 21.0461 18.4625 21.0758 18.4625 21.1127C18.4625 21.1472 18.4762 21.1737 18.5035 21.1913C18.5307 21.209 18.5805 21.2258 18.6519 21.2419C18.7233 21.2579 18.7819 21.2772 18.826 21.2997C18.8701 21.3221 18.903 21.3486 18.9247 21.3799C18.9464 21.4112 18.9568 21.4489 18.9568 21.4946C18.9568 21.5692 18.9271 21.6294 18.8669 21.6752C18.8067 21.7201 18.7289 21.7434 18.6334 21.7434C18.566 21.7434 18.5067 21.7313 18.4553 21.7081C18.404 21.684 18.3631 21.6511 18.3342 21.6086C18.3053 21.566 18.29 21.5195 18.29 21.4698H18.4337C18.4361 21.5179 18.4553 21.5556 18.4914 21.5845C18.5275 21.6126 18.5749 21.627 18.6334 21.627C18.688 21.627 18.7313 21.6158 18.7642 21.5941C18.7971 21.5725 18.8132 21.5428 18.8132 21.5059L18.814 21.5035Z",
+									"fill": "white"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"id": "Vector_74",
+									"d": "M19.0664 21.2988C19.0664 21.217 19.0825 21.1423 19.1145 21.0773C19.1466 21.0116 19.1916 20.961 19.2493 20.9257C19.3071 20.8904 19.3729 20.8719 19.4467 20.8719C19.5606 20.8719 19.6537 20.9113 19.7243 20.9907C19.7949 21.0701 19.8302 21.1752 19.8302 21.306V21.3164C19.8302 21.3983 19.815 21.4713 19.7837 21.5363C19.7524 21.6013 19.7075 21.6518 19.6497 21.6879C19.5911 21.724 19.5245 21.7425 19.4491 21.7425C19.3352 21.7425 19.2429 21.7032 19.1723 21.6237C19.1017 21.5443 19.0664 21.44 19.0664 21.31V21.2996V21.2988ZM19.21 21.3156C19.21 21.4087 19.2317 21.4833 19.275 21.5395C19.3183 21.5957 19.3761 21.6237 19.4483 21.6237C19.5205 21.6237 19.5791 21.5949 19.6216 21.5379C19.665 21.4809 19.6858 21.4007 19.6858 21.298C19.6858 21.2057 19.6641 21.1311 19.62 21.0741C19.5767 21.0172 19.5181 20.9883 19.4459 20.9883C19.3737 20.9883 19.3183 21.0164 19.2742 21.0725C19.2301 21.1287 19.2092 21.2097 19.2092 21.3148L19.21 21.3156Z",
+									"fill": "white"
+								},
+								"children": []
+							}
+						]
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_75",
+							"d": "M25.8569 25.0298V25.1269H25.67V25.6147H25.5536V25.1269H25.3667V25.0298H25.8569ZM26.4892 25.6147L26.4675 25.2713C26.4651 25.2264 26.4651 25.1702 26.4635 25.1076H26.4571C26.4418 25.159 26.425 25.228 26.4073 25.2817L26.3022 25.6059H26.1819L26.0768 25.2729C26.0663 25.228 26.0487 25.159 26.0358 25.1076H26.0294C26.0294 25.1614 26.027 25.2175 26.0254 25.2713L26.0038 25.6147H25.8922L25.9356 25.0306H26.1097L26.2108 25.3162C26.2236 25.3612 26.234 25.4045 26.2493 25.4647H26.2517C26.2669 25.4109 26.2798 25.3612 26.2926 25.3186L26.3937 25.0306H26.5614L26.6063 25.6147H26.49H26.4892Z",
+							"fill": "#231F20"
+						},
+						"children": []
+					}
+				]
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {},
+				"children": [
+					{
+						"type": "element",
+						"name": "linearGradient",
+						"attributes": {
+							"id": "paint0_linear_6186_11887",
+							"x1": "28",
+							"y1": "14",
+							"x2": "0",
+							"y2": "14",
+							"gradientUnits": "userSpaceOnUse"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"stop-color": "#2161AD"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.18",
+									"stop-color": "#1F69B3"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.47",
+									"stop-color": "#1C82C4"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.84",
+									"stop-color": "#16A9E1"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "1",
+									"stop-color": "#14BDEF"
+								},
+								"children": []
+							}
+						]
+					},
+					{
+						"type": "element",
+						"name": "linearGradient",
+						"attributes": {
+							"id": "paint1_linear_6186_11887",
+							"x1": "3.13623",
+							"y1": "13.9999",
+							"x2": "24.8636",
+							"y2": "13.9999",
+							"gradientUnits": "userSpaceOnUse"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"stop-color": "#2161AD"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.18",
+									"stop-color": "#1F69B3"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.47",
+									"stop-color": "#1C82C4"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "0.84",
+									"stop-color": "#16A9E1"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "stop",
+								"attributes": {
+									"offset": "1",
+									"stop-color": "#14BDEF"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "Soc2"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Soc2.tsx b/web/app/components/base/icons/src/public/common/Soc2.tsx
new file mode 100644
index 0000000000..63b6a4ca65
--- /dev/null
+++ b/web/app/components/base/icons/src/public/common/Soc2.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Soc2.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Soc2'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/common/index.ts b/web/app/components/base/icons/src/public/common/index.ts
index 788d275f92..dba789a7a6 100644
--- a/web/app/components/base/icons/src/public/common/index.ts
+++ b/web/app/components/base/icons/src/public/common/index.ts
@@ -1,12 +1,15 @@
 export { default as D } from './D'
 export { default as DiagonalDividingLine } from './DiagonalDividingLine'
 export { default as Dify } from './Dify'
+export { default as Gdpr } from './Gdpr'
 export { default as Github } from './Github'
 export { default as Highlight } from './Highlight'
+export { default as Iso } from './Iso'
 export { default as Line3 } from './Line3'
 export { default as Lock } from './Lock'
 export { default as MessageChatSquare } from './MessageChatSquare'
 export { default as MultiPathRetrieval } from './MultiPathRetrieval'
 export { default as NTo1Retrieval } from './NTo1Retrieval'
 export { default as Notion } from './Notion'
+export { default as Soc2 } from './Soc2'
 export { default as SparklesSoft } from './SparklesSoft'
diff --git a/web/app/components/base/icons/src/public/knowledge/Chunk.json b/web/app/components/base/icons/src/public/knowledge/Chunk.json
index 7bd5668810..469d85d1a7 100644
--- a/web/app/components/base/icons/src/public/knowledge/Chunk.json
+++ b/web/app/components/base/icons/src/public/knowledge/Chunk.json
@@ -24,7 +24,7 @@
 						"attributes": {
 							"id": "Vector",
 							"d": "M2.5 10H0V7.5H2.5V10Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -34,7 +34,7 @@
 						"attributes": {
 							"id": "Vector_2",
 							"d": "M6.25 6.25H3.75V3.75H6.25V6.25Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -44,7 +44,7 @@
 						"attributes": {
 							"id": "Vector_3",
 							"d": "M2.5 6.25H0V3.75H2.5V6.25Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -54,7 +54,7 @@
 						"attributes": {
 							"id": "Vector_4",
 							"d": "M6.25 2.5H3.75V0H6.25V2.5Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -64,7 +64,7 @@
 						"attributes": {
 							"id": "Vector_5",
 							"d": "M2.5 2.5H0V0H2.5V2.5Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -74,7 +74,7 @@
 						"attributes": {
 							"id": "Vector_6",
 							"d": "M10 2.5H7.5V0H10V2.5Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -84,7 +84,7 @@
 						"attributes": {
 							"id": "Vector_7",
 							"d": "M9.58342 7.91663H7.91675V9.58329H9.58342V7.91663Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -94,7 +94,7 @@
 						"attributes": {
 							"id": "Vector_8",
 							"d": "M9.58342 4.16663H7.91675V5.83329H9.58342V4.16663Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					},
@@ -104,7 +104,7 @@
 						"attributes": {
 							"id": "Vector_9",
 							"d": "M5.83341 7.91663H4.16675V9.58329H5.83341V7.91663Z",
-							"fill": "currentColor"
+							"fill": "#676F83"
 						},
 						"children": []
 					}
diff --git a/web/app/components/base/icons/src/public/knowledge/Collapse.json b/web/app/components/base/icons/src/public/knowledge/Collapse.json
index 5e3cf08ce0..66d457155d 100644
--- a/web/app/components/base/icons/src/public/knowledge/Collapse.json
+++ b/web/app/components/base/icons/src/public/knowledge/Collapse.json
@@ -30,7 +30,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M2.66602 11.3333H0.666016L3.33268 8.66667L5.99935 11.3333H3.99935L3.99935 14H2.66602L2.66602 11.3333Z",
-									"fill": "currentColor"
+									"fill": "#354052"
 								},
 								"children": []
 							},
@@ -39,7 +39,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M2.66602 4.66667L2.66602 2L3.99935 2L3.99935 4.66667L5.99935 4.66667L3.33268 7.33333L0.666016 4.66667L2.66602 4.66667Z",
-									"fill": "currentColor"
+									"fill": "#354052"
 								},
 								"children": []
 							},
@@ -48,7 +48,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M7.33268 2.66667H13.9993V4H7.33268V2.66667ZM7.33268 12H13.9993V13.3333H7.33268V12ZM5.99935 7.33333H13.9993V8.66667H5.99935V7.33333Z",
-									"fill": "currentColor"
+									"fill": "#354052"
 								},
 								"children": []
 							}
diff --git a/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json b/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
index 6f5b00eb54..26c5cf1d4f 100644
--- a/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
+++ b/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
@@ -24,7 +24,7 @@
 						"attributes": {
 							"id": "Vector",
 							"d": "M14.0002 2C14.3684 2 14.6668 2.29848 14.6668 2.66667V13.3333C14.6668 13.7015 14.3684 14 14.0002 14H2.00016C1.63198 14 1.3335 13.7015 1.3335 13.3333V2.66667C1.3335 2.29848 1.63198 2 2.00016 2H14.0002ZM13.3335 3.33333H2.66683V12.6667H13.3335V3.33333ZM14.0002 2.66667V13.3333H10.0002V2.66667H14.0002Z",
-							"fill": "currentColor"
+							"fill": "#354052"
 						},
 						"children": []
 					}
diff --git a/web/app/components/header/account-dropdown/compliance.tsx b/web/app/components/header/account-dropdown/compliance.tsx
new file mode 100644
index 0000000000..74c688ea92
--- /dev/null
+++ b/web/app/components/header/account-dropdown/compliance.tsx
@@ -0,0 +1,185 @@
+import { Menu, Transition } from '@headlessui/react'
+import { RiArrowDownCircleLine, RiArrowRightSLine, RiVerifiedBadgeLine } from '@remixicon/react'
+import type { FC, MouseEvent } from 'react'
+import { Fragment, useCallback } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useMutation } from '@tanstack/react-query'
+import PremiumBadge from '../../base/premium-badge'
+import SparklesSoft from '../../base/icons/src/public/common/SparklesSoft'
+import Button from '../../base/button'
+import Soc2 from '../../base/icons/src/public/common/Soc2'
+import Iso from '../../base/icons/src/public/common/Iso'
+import Gdpr from '../../base/icons/src/public/common/Gdpr'
+import Toast from '../../base/toast'
+import Tooltip from '../../base/tooltip'
+import cn from '@/utils/classnames'
+import { useProviderContext } from '@/context/provider-context'
+import { Plan } from '@/app/components/billing/type'
+import { useModalContext } from '@/context/modal-context'
+import { getDocDownloadUrl } from '@/service/common'
+
+enum DocName {
+  'SOC2_Type_I' = 'SOC2_Type_I',
+  'SOC2_Type_II' = 'SOC2_Type_II',
+  'ISO_27001' = 'ISO_27001',
+  'GDPR' = 'GDPR',
+}
+
+type UpgradeOrDownloadProps = {
+  doc_name: DocName
+}
+const UpgradeOrDownload: FC<UpgradeOrDownloadProps> = ({ doc_name }) => {
+  const { t } = useTranslation()
+  const { plan } = useProviderContext()
+  const { setShowPricingModal, setShowAccountSettingModal } = useModalContext()
+  const isFreePlan = plan.type === Plan.sandbox
+
+  const handlePlanClick = useCallback(() => {
+    if (isFreePlan)
+      setShowPricingModal()
+    else
+      setShowAccountSettingModal({ payload: 'billing' })
+  }, [isFreePlan, setShowAccountSettingModal, setShowPricingModal])
+
+  const { isPending, mutate: downloadCompliance } = useMutation({
+    mutationKey: ['downloadCompliance', doc_name],
+    mutationFn: async () => {
+      try {
+        const ret = await getDocDownloadUrl(doc_name)
+        const a = document.createElement('a')
+        a.href = ret.url
+        a.click()
+        Toast.notify({
+          type: 'success',
+          message: t('common.operation.downloadSuccess'),
+        })
+      }
+      catch (error) {
+        console.error(error)
+        Toast.notify({
+          type: 'error',
+          message: t('common.operation.downloadFailed'),
+        })
+      }
+    },
+  })
+  const whichPlanCanDownloadCompliance = {
+    [DocName.SOC2_Type_I]: [Plan.professional, Plan.team],
+    [DocName.SOC2_Type_II]: [Plan.team],
+    [DocName.ISO_27001]: [Plan.team],
+    [DocName.GDPR]: [Plan.team, Plan.professional, Plan.sandbox],
+  }
+
+  const isCurrentPlanCanDownload = whichPlanCanDownloadCompliance[doc_name].includes(plan.type)
+  const handleDownloadClick = useCallback((e: MouseEvent<HTMLButtonElement>) => {
+    e.preventDefault()
+    downloadCompliance()
+  }, [downloadCompliance])
+  if (isCurrentPlanCanDownload) {
+    return <Button loading={isPending} disabled={isPending} size='small' variant='secondary' className='flex gap-[1px] items-center' onClick={handleDownloadClick}>
+      <RiArrowDownCircleLine className='size-[14px] text-components-button-secondary-text-disabled' />
+      <span className='px-[3px] system-xs-medium text-components-button-secondary-text'>{t('common.operation.download')}</span>
+    </Button>
+  }
+  const upgradeTooltip: Record<Plan, string> = {
+    [Plan.sandbox]: t('common.compliance.sandboxUpgradeTooltip'),
+    [Plan.professional]: t('common.compliance.professionalUpgradeTooltip'),
+    [Plan.team]: '',
+    [Plan.enterprise]: '',
+  }
+  return <Tooltip asChild={false} popupContent={upgradeTooltip[plan.type]}>
+    <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}>
+      <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
+      <div className='system-xs-medium'>
+        <span className='p-1'>
+          {t('billing.upgradeBtn.encourageShort')}
+        </span>
+      </div>
+    </PremiumBadge>
+  </Tooltip>
+}
+
+export default function Compliance() {
+  const itemClassName = `
+  flex items-center w-full h-10 pl-1 pr-2 py-1 text-text-secondary system-md-regular
+  rounded-lg hover:bg-state-base-hover gap-1
+`
+  const { t } = useTranslation()
+
+  return <Menu as="div" className="relative w-full h-full">
+    {
+      ({ open }) => (
+        <>
+          <Menu.Button className={
+            cn('flex items-center pl-3 pr-2 py-2 h-9 w-full group hover:bg-state-base-hover rounded-lg gap-1',
+              open && 'bg-state-base-hover',
+            )}>
+            <RiVerifiedBadgeLine className='flex-shrink-0 size-4 text-text-tertiary' />
+            <div className='flex-grow text-left system-md-regular text-text-secondary px-1'>{t('common.userProfile.compliance')}</div>
+            <RiArrowRightSLine className='shrink-0 size-[14px] text-text-tertiary' />
+          </Menu.Button>
+          <Transition
+            as={Fragment}
+            enter="transition ease-out duration-100"
+            enterFrom="transform opacity-0 scale-95"
+            enterTo="transform opacity-100 scale-100"
+            leave="transition ease-in duration-75"
+            leaveFrom="transform opacity-100 scale-100"
+            leaveTo="transform opacity-0 scale-95"
+          >
+            <Menu.Items
+              className={cn(
+                `absolute top-[1px] w-[337px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
+                divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none shadow-lg -translate-x-full
+              `,
+              )}
+            >
+              <div className="px-1 py-1">
+                <Menu.Item>
+                  {({ active }) => <div
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}>
+                    <Soc2 className='flex-shrink-0 size-7' />
+                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.soc2Type1')}</div>
+                    <UpgradeOrDownload doc_name={DocName.SOC2_Type_I} />
+                  </div>}
+                </Menu.Item>
+                <Menu.Item>
+                  {({ active }) => <div
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}>
+                    <Soc2 className='flex-shrink-0 size-7' />
+                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.soc2Type2')}</div>
+                    <UpgradeOrDownload doc_name={DocName.SOC2_Type_II} />
+                  </div>}
+                </Menu.Item>
+                <Menu.Item>
+                  {({ active }) => <div
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}>
+                    <Iso className='flex-shrink-0 size-7' />
+                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.iso27001')}</div>
+                    <UpgradeOrDownload doc_name={DocName.ISO_27001} />
+                  </div>}
+                </Menu.Item>
+                <Menu.Item>
+                  {({ active }) => <div
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}>
+                    <Gdpr className='flex-shrink-0 size-7' />
+                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.gdpr')}</div>
+                    <UpgradeOrDownload doc_name={DocName.GDPR} />
+                  </div>}
+                </Menu.Item>
+              </div>
+            </Menu.Items>
+          </Transition>
+        </>
+      )
+    }
+  </Menu>
+}
diff --git a/web/app/components/header/account-dropdown/index.tsx b/web/app/components/header/account-dropdown/index.tsx
index d9065f3141..69906f11cb 100644
--- a/web/app/components/header/account-dropdown/index.tsx
+++ b/web/app/components/header/account-dropdown/index.tsx
@@ -2,24 +2,25 @@
 import { useTranslation } from 'react-i18next'
 import { Fragment, useState } from 'react'
 import { useRouter } from 'next/navigation'
-import { useContext } from 'use-context-selector'
-import { RiArrowDownSLine, RiLogoutBoxRLine } from '@remixicon/react'
+import { useContext, useContextSelector } from 'use-context-selector'
+import { RiAccountCircleLine, RiArrowDownSLine, RiArrowRightUpLine, RiBookOpenLine, RiGithubLine, RiInformation2Line, RiLogoutBoxRLine, RiMap2Line, RiSettings3Line, RiStarLine } from '@remixicon/react'
 import Link from 'next/link'
 import { Menu, Transition } from '@headlessui/react'
 import Indicator from '../indicator'
 import AccountAbout from '../account-about'
-import { mailToSupport } from '../utils/util'
+import GithubStar from '../github-star'
 import WorkplaceSelector from './workplace-selector'
+import Support from './support'
+import Compliance from './compliance'
 import classNames from '@/utils/classnames'
 import I18n from '@/context/i18n'
 import Avatar from '@/app/components/base/avatar'
 import { logout } from '@/service/common'
-import { useAppContext } from '@/context/app-context'
-import { ArrowUpRight } from '@/app/components/base/icons/src/vender/line/arrows'
+import AppContext, { useAppContext } from '@/context/app-context'
 import { useModalContext } from '@/context/modal-context'
 import { LanguagesSupported } from '@/i18n/language'
-import { useProviderContext } from '@/context/provider-context'
-import { Plan } from '@/app/components/billing/type'
+import { LicenseStatus } from '@/types/feature'
+import { IS_CLOUD_EDITION } from '@/config'
 
 export type IAppSelector = {
   isMobile: boolean
@@ -27,18 +28,17 @@ export type IAppSelector = {
 
 export default function AppSelector({ isMobile }: IAppSelector) {
   const itemClassName = `
-    flex items-center w-full h-9 px-3 text-text-secondary system-md-regular
-    rounded-lg hover:bg-state-base-hover cursor-pointer
+    flex items-center w-full h-9 pl-3 pr-2 text-text-secondary system-md-regular
+    rounded-lg hover:bg-state-base-hover cursor-pointer gap-1
   `
   const router = useRouter()
   const [aboutVisible, setAboutVisible] = useState(false)
+  const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures)
 
   const { locale } = useContext(I18n)
   const { t } = useTranslation()
-  const { userProfile, langeniusVersionInfo } = useAppContext()
+  const { userProfile, langeniusVersionInfo, isCurrentWorkspaceOwner } = useAppContext()
   const { setShowAccountSettingModal } = useModalContext()
-  const { plan } = useProviderContext()
-  const canEmailSupport = plan.type === Plan.professional || plan.type === Plan.team || plan.type === Plan.enterprise
 
   const handleLogout = async () => {
     await logout({
@@ -63,15 +63,15 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                 className={`
                     inline-flex items-center
                     rounded-[20px] py-1 pr-2.5 pl-1 text-sm
-                  text-gray-700 hover:bg-gray-200
+                  text-text-secondary hover:bg-state-base-hover
                     mobile:px-1
-                    ${open && 'bg-gray-200'}
+                    ${open && 'bg-state-base-hover'}
                   `}
               >
                 <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='sm:mr-2 mr-0' size={32} />
                 {!isMobile && <>
                   {userProfile.name}
-                  <RiArrowDownSLine className="w-3 h-3 ml-1 text-gray-700" />
+                  <RiArrowDownSLine className="w-3 h-3 ml-1 text-text-tertiary" />
                 </>}
               </Menu.Button>
               <Transition
@@ -91,70 +91,41 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                   "
                 >
                   <Menu.Item disabled>
-                    <div className='flex flex-nowrap items-center px-4 py-[13px]'>
-                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={36} className='mr-3' />
+                    <div className='flex flex-nowrap items-center pl-3 pr-2 py-[13px]'>
                       <div className='grow'>
                         <div className='system-md-medium text-text-primary break-all'>{userProfile.name}</div>
                         <div className='system-xs-regular text-text-tertiary break-all'>{userProfile.email}</div>
                       </div>
+                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={36} className='mr-3' />
                     </div>
                   </Menu.Item>
-                  <div className='px-1 py-1'>
+                  <div className='p-1'>
                     <div className='mt-2 px-3 text-xs font-medium text-text-tertiary'>{t('common.userProfile.workspace')}</div>
                     <WorkplaceSelector />
                   </div>
-                  <div className="px-1 py-1">
+                  <div className="p-1">
                     <Menu.Item>
                       {({ active }) => <Link
-                        className={classNames(itemClassName, 'group justify-between',
+                        className={classNames(itemClassName, 'group',
                           active && 'bg-state-base-hover',
                         )}
                         href='/account'
                         target='_self' rel='noopener noreferrer'>
-                        <div>{t('common.account.account')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                        <RiAccountCircleLine className='size-4 flex-shrink-0 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.account.account')}</div>
+                        <RiArrowRightUpLine className='size-[14px] flex-shrink-0 text-text-tertiary' />
                       </Link>}
                     </Menu.Item>
                     <Menu.Item>
                       {({ active }) => <div className={classNames(itemClassName,
                         active && 'bg-state-base-hover',
                       )} onClick={() => setShowAccountSettingModal({ payload: 'members' })}>
-                        <div>{t('common.userProfile.settings')}</div>
+                        <RiSettings3Line className='size-4 flex-shrink-0 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.settings')}</div>
                       </div>}
                     </Menu.Item>
-                    {canEmailSupport && <Menu.Item>
-                      {({ active }) => <a
-                        className={classNames(itemClassName, 'group justify-between',
-                          active && 'bg-state-base-hover',
-                        )}
-                        href={mailToSupport(userProfile.email, plan.type, langeniusVersionInfo.current_version)}
-                        target='_blank' rel='noopener noreferrer'>
-                        <div>{t('common.userProfile.emailSupport')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
-                      </a>}
-                    </Menu.Item>}
-                    <Menu.Item>
-                      {({ active }) => <Link
-                        className={classNames(itemClassName, 'group justify-between',
-                          active && 'bg-state-base-hover',
-                        )}
-                        href='https://github.com/langgenius/dify/discussions/categories/feedbacks'
-                        target='_blank' rel='noopener noreferrer'>
-                        <div>{t('common.userProfile.communityFeedback')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
-                      </Link>}
-                    </Menu.Item>
-                    <Menu.Item>
-                      {({ active }) => <Link
-                        className={classNames(itemClassName, 'group justify-between',
-                          active && 'bg-state-base-hover',
-                        )}
-                        href='https://discord.gg/5AEfbxcd9k'
-                        target='_blank' rel='noopener noreferrer'>
-                        <div>{t('common.userProfile.community')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
-                      </Link>}
-                    </Menu.Item>
+                  </div>
+                  <div className='p-1'>
                     <Menu.Item>
                       {({ active }) => <Link
                         className={classNames(itemClassName, 'group justify-between',
@@ -164,10 +135,15 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                           locale !== LanguagesSupported[1] ? 'https://docs.dify.ai/' : `https://docs.dify.ai/v/${locale.toLowerCase()}/`
                         }
                         target='_blank' rel='noopener noreferrer'>
-                        <div>{t('common.userProfile.helpCenter')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                        <RiBookOpenLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.helpCenter')}</div>
+                        <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
                       </Link>}
                     </Menu.Item>
+                    <Support />
+                    {IS_CLOUD_EDITION && isCurrentWorkspaceOwner && <Compliance />}
+                  </div>
+                  <div className='p-1'>
                     <Menu.Item>
                       {({ active }) => <Link
                         className={classNames(itemClassName, 'group justify-between',
@@ -175,18 +151,35 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                         )}
                         href='https://roadmap.dify.ai'
                         target='_blank' rel='noopener noreferrer'>
-                        <div>{t('common.userProfile.roadmap')}</div>
-                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                        <RiMap2Line className='flex-shrink-0 size-4 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.roadmap')}</div>
+                        <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
                       </Link>}
                     </Menu.Item>
+                    {systemFeatures.license.status === LicenseStatus.NONE && <Menu.Item>
+                      {({ active }) => <Link
+                        className={classNames(itemClassName, 'group justify-between',
+                          active && 'bg-state-base-hover',
+                        )}
+                        href='https://github.com/langgenius/dify/stargazers'
+                        target='_blank' rel='noopener noreferrer'>
+                        <RiGithubLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.github')}</div>
+                        <div className='flex items-center gap-0.5 px-[5px] py-[3px] border border-divider-deep rounded-[5px] bg-components-badge-bg-dimm'>
+                          <RiStarLine className='flex-shrink-0 size-3 text-text-tertiary' />
+                          <GithubStar className='system-2xs-medium-uppercase text-text-tertiary' />
+                        </div>
+                      </Link>}
+                    </Menu.Item>}
                     {
                       document?.body?.getAttribute('data-public-site-about') !== 'hide' && (
                         <Menu.Item>
                           {({ active }) => <div className={classNames(itemClassName, 'justify-between',
                             active && 'bg-state-base-hover',
                           )} onClick={() => setAboutVisible(true)}>
-                            <div>{t('common.userProfile.about')}</div>
-                            <div className='flex items-center'>
+                            <RiInformation2Line className='flex-shrink-0 size-4 text-text-tertiary' />
+                            <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.about')}</div>
+                            <div className='flex-shrink-0 flex items-center'>
                               <div className='mr-2 system-xs-regular text-text-tertiary'>{langeniusVersionInfo.current_version}</div>
                               <Indicator color={langeniusVersionInfo.current_version === langeniusVersionInfo.latest_version ? 'green' : 'orange'} />
                             </div>
@@ -198,12 +191,12 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                   <Menu.Item>
                     {({ active }) => <div className='p-1' onClick={() => handleLogout()}>
                       <div
-                        className={
-                          classNames('flex items-center justify-between h-9 px-3 rounded-lg cursor-pointer group hover:bg-state-base-hover',
-                            active && 'bg-state-base-hover')}
+                        className={classNames(itemClassName, 'group justify-between',
+                          active && 'bg-state-base-hover',
+                        )}
                       >
-                        <div className='system-md-regular text-text-secondary'>{t('common.userProfile.logout')}</div>
-                        <RiLogoutBoxRLine className='hidden w-4 h-4 text-text-tertiary group-hover:flex' />
+                        <RiLogoutBoxRLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.logout')}</div>
                       </div>
                     </div>}
                   </Menu.Item>
diff --git a/web/app/components/header/account-dropdown/support.tsx b/web/app/components/header/account-dropdown/support.tsx
new file mode 100644
index 0000000000..b306058919
--- /dev/null
+++ b/web/app/components/header/account-dropdown/support.tsx
@@ -0,0 +1,94 @@
+import { Menu, Transition } from '@headlessui/react'
+import { RiArrowRightSLine, RiArrowRightUpLine, RiDiscordLine, RiFeedbackLine, RiMailSendLine, RiQuestionLine } from '@remixicon/react'
+import { Fragment } from 'react'
+import Link from 'next/link'
+import { useTranslation } from 'react-i18next'
+import { mailToSupport } from '../utils/util'
+import cn from '@/utils/classnames'
+import { useProviderContext } from '@/context/provider-context'
+import { Plan } from '@/app/components/billing/type'
+import { useAppContext } from '@/context/app-context'
+
+export default function Support() {
+  const itemClassName = `
+  flex items-center w-full h-9 pl-3 pr-2 text-text-secondary system-md-regular
+  rounded-lg hover:bg-state-base-hover cursor-pointer gap-1
+`
+  const { t } = useTranslation()
+  const { plan } = useProviderContext()
+  const { userProfile, langeniusVersionInfo } = useAppContext()
+  const canEmailSupport = plan.type === Plan.professional || plan.type === Plan.team || plan.type === Plan.enterprise
+
+  return <Menu as="div" className="relative w-full h-full">
+    {
+      ({ open }) => (
+        <>
+          <Menu.Button className={
+            cn('flex items-center pl-3 pr-2 py-2 h-9 w-full group hover:bg-state-base-hover rounded-lg gap-1',
+              open && 'bg-state-base-hover',
+            )}>
+            <RiQuestionLine className='flex-shrink-0 size-4 text-text-tertiary' />
+            <div className='flex-grow text-left system-md-regular text-text-secondary px-1'>{t('common.userProfile.support')}</div>
+            <RiArrowRightSLine className='shrink-0 size-[14px] text-text-tertiary' />
+          </Menu.Button>
+          <Transition
+            as={Fragment}
+            enter="transition ease-out duration-100"
+            enterFrom="transform opacity-0 scale-95"
+            enterTo="transform opacity-100 scale-100"
+            leave="transition ease-in duration-75"
+            leaveFrom="transform opacity-100 scale-100"
+            leaveTo="transform opacity-0 scale-95"
+          >
+            <Menu.Items
+              className={cn(
+                `absolute top-[1px] w-[216px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
+                divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none shadow-lg -translate-x-full
+              `,
+              )}
+            >
+              <div className="px-1 py-1">
+                {canEmailSupport && <Menu.Item>
+                  {({ active }) => <a
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}
+                    href={mailToSupport(userProfile.email, plan.type, langeniusVersionInfo.current_version)}
+                    target='_blank' rel='noopener noreferrer'>
+                    <RiMailSendLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.emailSupport')}</div>
+                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
+                  </a>}
+                </Menu.Item>}
+                <Menu.Item>
+                  {({ active }) => <Link
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}
+                    href='https://github.com/langgenius/dify/discussions/categories/feedbacks'
+                    target='_blank' rel='noopener noreferrer'>
+                    <RiFeedbackLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.communityFeedback')}</div>
+                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
+                  </Link>}
+                </Menu.Item>
+                <Menu.Item>
+                  {({ active }) => <Link
+                    className={cn(itemClassName, 'group justify-between',
+                      active && 'bg-state-base-hover',
+                    )}
+                    href='https://discord.gg/5AEfbxcd9k'
+                    target='_blank' rel='noopener noreferrer'>
+                    <RiDiscordLine className='flex-shrink-0 size-4 text-text-tertiary' />
+                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.community')}</div>
+                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
+                  </Link>}
+                </Menu.Item>
+              </div>
+            </Menu.Items>
+          </Transition>
+        </>
+      )
+    }
+  </Menu>
+}
diff --git a/web/app/components/header/account-dropdown/workplace-selector/index.tsx b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
index bcc72a7bb3..5188c18026 100644
--- a/web/app/components/header/account-dropdown/workplace-selector/index.tsx
+++ b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
@@ -9,19 +9,18 @@ import { useWorkspacesContext } from '@/context/workspace-context'
 import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows'
 import { Check } from '@/app/components/base/icons/src/vender/line/general'
 import { ToastContext } from '@/app/components/base/toast'
-import classNames from '@/utils/classnames'
 
 const itemClassName = `
-  flex items-center px-3 py-2 h-10 cursor-pointer
+  flex items-center px-3 py-2 h-9 cursor-pointer rounded-lg
 `
 const itemIconClassName = `
-  shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600
+  shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-text-accent
 `
 const itemNameClassName = `
-  grow mr-2 text-sm text-gray-700 text-left
+  grow mr-2 text-sm text-text-secondary text-left
 `
 const itemCheckClassName = `
-  shrink-0 w-4 h-4 text-primary-600
+  shrink-0 w-4 h-4 text-text-accent
 `
 
 const WorkplaceSelector = () => {
@@ -48,15 +47,15 @@ const WorkplaceSelector = () => {
       {
         ({ open }) => (
           <>
-            <Menu.Button className={cn(
+            <Menu.Button className={cn(itemClassName,
               `
-                ${itemClassName} w-full
-                group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-lg
+                w-full group hover:bg-state-base-hover pl-3 pr-2
               `,
+              open && 'bg-state-base-hover',
             )}>
               <div className={itemIconClassName}>{currentWorkspace?.name[0].toLocaleUpperCase()}</div>
-              <div className={`${itemNameClassName} truncate`}>{currentWorkspace?.name}</div>
-              <ChevronRight className='shrink-0 w-[14px] h-[14px] text-gray-500' />
+              <div className={`${itemNameClassName} truncate px-1`}>{currentWorkspace?.name}</div>
+              <ChevronRight className='shrink-0 size-[14px] text-text-tertiary' />
             </Menu.Button>
             <Transition
               as={Fragment}
@@ -70,8 +69,8 @@ const WorkplaceSelector = () => {
               <Menu.Items
                 className={cn(
                   `
-                    absolute top-[1px] min-w-[200px] max-h-[70vh] overflow-y-scroll z-10 bg-white border-[0.5px] border-gray-200
-                    divide-y divide-gray-100 origin-top-right rounded-xl focus:outline-none
+                    absolute top-[1px] w-[216px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
+                    divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none
                   `,
                   s.popup,
                 )}
@@ -80,7 +79,7 @@ const WorkplaceSelector = () => {
                   {
                     workspaces.map(workspace => (
                       <Menu.Item key={workspace.id}>
-                        {({ active }) => <div className={classNames(itemClassName,
+                        {({ active }) => <div className={cn(itemClassName,
                           active && 'bg-state-base-hover',
                         )} key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}>
                           <div className={itemIconClassName}>{workspace.name[0].toLocaleUpperCase()}</div>
diff --git a/web/app/components/header/github-star/index.tsx b/web/app/components/header/github-star/index.tsx
index 75af9907d6..328fa8ec7c 100644
--- a/web/app/components/header/github-star/index.tsx
+++ b/web/app/components/header/github-star/index.tsx
@@ -1,50 +1,27 @@
 'use client'
-import React, { useEffect, useState } from 'react'
-import { Github } from '@/app/components/base/icons/src/public/common'
+import { useQuery } from '@tanstack/react-query'
+import type { FC } from 'react'
 import type { GithubRepo } from '@/models/common'
 
 const getStar = async () => {
   const res = await fetch('https://api.github.com/repos/langgenius/dify')
 
   if (!res.ok)
-    throw new Error('Failed to fetch data')
+    throw new Error('Failed to fetch github star')
 
   return res.json()
 }
 
-const GithubStar = () => {
-  const [githubRepo, setGithubRepo] = useState<GithubRepo>({ stargazers_count: 6000 })
-  const [isFetched, setIsFetched] = useState(false)
-  useEffect(() => {
-    (async () => {
-      try {
-        if (process.env.NODE_ENV === 'development')
-          return
-
-        await setGithubRepo(await getStar())
-        setIsFetched(true)
-      }
-      catch (e) {
-
-      }
-    })()
-  }, [])
-
-  if (!isFetched)
+const GithubStar: FC<{ className: string }> = (props) => {
+  const { isFetching, data } = useQuery<GithubRepo>({
+    queryKey: ['github-star'],
+    queryFn: getStar,
+    enabled: process.env.NODE_ENV !== 'development',
+    initialData: { stargazers_count: 6000 },
+  })
+  if (isFetching)
     return null
-
-  return (
-    <a
-      href='https://github.com/langgenius/dify'
-      target='_blank' rel='noopener noreferrer'
-      className='flex items-center leading-[18px] border border-gray-200 rounded-md text-xs text-gray-700 font-semibold overflow-hidden'>
-      <div className='flex items-center px-2 py-1 bg-gray-100'>
-        <Github className='mr-1 w-[18px] h-[18px]' />
-        Star
-      </div>
-      <div className='px-2 py-1 bg-white border-l border-gray-200'>{`${githubRepo.stargazers_count}`.replace(/\B(?=(\d{3})+(?!\d))/g, ',')}</div>
-    </a>
-  )
+  return <span {...props}>{data.stargazers_count.toLocaleString()}</span>
 }
 
 export default GithubStar
diff --git a/web/app/components/header/index.tsx b/web/app/components/header/index.tsx
index 9a32bbb37a..2c7c64cf63 100644
--- a/web/app/components/header/index.tsx
+++ b/web/app/components/header/index.tsx
@@ -4,7 +4,6 @@ import Link from 'next/link'
 import { useBoolean } from 'ahooks'
 import { useSelectedLayoutSegment } from 'next/navigation'
 import { Bars3Icon } from '@heroicons/react/20/solid'
-import { useContextSelector } from 'use-context-selector'
 import HeaderBillingBtn from '../billing/header-billing-btn'
 import AccountDropdown from './account-dropdown'
 import AppNav from './app-nav'
@@ -12,15 +11,13 @@ import DatasetNav from './dataset-nav'
 import EnvNav from './env-nav'
 import ExploreNav from './explore-nav'
 import ToolsNav from './tools-nav'
-import GithubStar from './github-star'
 import LicenseNav from './license-env'
 import { WorkspaceProvider } from '@/context/workspace-context'
-import AppContext, { useAppContext } from '@/context/app-context'
+import { useAppContext } from '@/context/app-context'
 import LogoSite from '@/app/components/base/logo/logo-site'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import { useProviderContext } from '@/context/provider-context'
 import { useModalContext } from '@/context/modal-context'
-import { LicenseStatus } from '@/types/feature'
 
 const navClassName = `
   flex items-center relative mr-0 sm:mr-3 px-3 h-8 rounded-xl
@@ -30,7 +27,6 @@ const navClassName = `
 
 const Header = () => {
   const { isCurrentWorkspaceEditor, isCurrentWorkspaceDatasetOperator } = useAppContext()
-  const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures)
   const selectedSegment = useSelectedLayoutSegment()
   const media = useBreakpoints()
   const isMobile = media === MediaType.mobile
@@ -62,7 +58,6 @@ const Header = () => {
           <Link href="/apps" className='flex items-center mr-4'>
             <LogoSite className='object-contain' />
           </Link>
-          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
         </>}
       </div>
       {isMobile && (
@@ -70,7 +65,6 @@ const Header = () => {
           <Link href="/apps" className='flex items-center mr-4'>
             <LogoSite />
           </Link>
-          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
         </div>
       )}
       {!isMobile && (
diff --git a/web/config/index.ts b/web/config/index.ts
index b87c027de1..4a6f4fc4f7 100644
--- a/web/config/index.ts
+++ b/web/config/index.ts
@@ -32,6 +32,7 @@ export const PUBLIC_API_PREFIX: string = publicApiPrefix
 
 const EDITION = process.env.NEXT_PUBLIC_EDITION || globalThis.document?.body?.getAttribute('data-public-edition') || 'SELF_HOSTED'
 export const IS_CE_EDITION = EDITION === 'SELF_HOSTED'
+export const IS_CLOUD_EDITION = EDITION === 'CLOUD'
 
 export const SUPPORT_MAIL_LOGIN = !!(process.env.NEXT_PUBLIC_SUPPORT_MAIL_LOGIN || globalThis.document?.body?.getAttribute('data-public-support-mail-login'))
 
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index b66b1d1cb4..8b21451b2a 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -26,6 +26,8 @@ const translation = {
     lineBreak: 'Line break',
     sure: 'I\'m sure',
     download: 'Download',
+    downloadSuccess: 'Download Completed.',
+    downloadFailed: 'Download failed. Please try again later.',
     delete: 'Delete',
     deleteApp: 'Delete App',
     settings: 'Settings',
@@ -145,13 +147,24 @@ const translation = {
     emailSupport: 'Email Support',
     workspace: 'Workspace',
     createWorkspace: 'Create Workspace',
-    helpCenter: 'Help',
+    helpCenter: 'Docs',
+    support: 'Support',
+    compliance: 'Compliance',
     communityFeedback: 'Feedback',
     roadmap: 'Roadmap',
+    github: 'GitHub',
     community: 'Community',
     about: 'About',
     logout: 'Log out',
   },
+  compliance: {
+    soc2Type1: 'SOC 2 Type I Report',
+    soc2Type2: 'SOC 2 Type II Report',
+    iso27001: 'ISO 27001:2022 Certification',
+    gdpr: 'GDPR DPA',
+    sandboxUpgradeTooltip: 'Only available with a Professional or Team plan.',
+    professionalUpgradeTooltip: 'Only available with a Team plan or above.',
+  },
   settings: {
     accountGroup: 'GENERAL',
     workplaceGroup: 'WORKSPACE',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index ea5d82b73e..227334c030 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -26,6 +26,8 @@ const translation = {
     lineBreak: '换行',
     sure: '我确定',
     download: '下载',
+    downloadSuccess: '下载完毕',
+    downloadFailed: '下载失败，请稍后重试。',
     delete: '删除',
     deleteApp: '删除应用',
     settings: '设置',
@@ -146,12 +148,23 @@ const translation = {
     workspace: '工作空间',
     createWorkspace: '创建工作空间',
     helpCenter: '帮助文档',
+    support: '支持',
+    compliance: '合规',
     communityFeedback: '用户反馈',
     roadmap: '路线图',
+    github: 'GitHub',
     community: '社区',
     about: '关于',
     logout: '登出',
   },
+  compliance: {
+    soc2Type1: 'SOC 2 Type I Report',
+    soc2Type2: 'SOC 2 Type II Report',
+    iso27001: 'ISO 27001:2022 Certification',
+    gdpr: 'GDPR DPA',
+    sandboxUpgradeTooltip: '仅适用于 Professional 或 Team 版计划。',
+    professionalUpgradeTooltip: '仅适用于 Team 版计划或以上。',
+  },
   settings: {
     accountGroup: '通用',
     workplaceGroup: '工作空间',
diff --git a/web/service/common.ts b/web/service/common.ts
index 5910965ec2..bbed9993b2 100644
--- a/web/service/common.ts
+++ b/web/service/common.ts
@@ -40,7 +40,7 @@ import type { SystemFeatures } from '@/types/feature'
 
 type LoginSuccess = {
   result: 'success'
-  data: { access_token: string;refresh_token: string }
+  data: { access_token: string; refresh_token: string }
 }
 type LoginFail = {
   result: 'fail'
@@ -331,20 +331,23 @@ export const uploadRemoteFileInfo = (url: string, isPublic?: boolean) => {
 export const sendEMailLoginCode = (email: string, language = 'en-US') =>
   post<CommonResponse & { data: string }>('/email-code-login', { body: { email, language } })
 
-export const emailLoginWithCode = (data: { email: string;code: string;token: string }) =>
+export const emailLoginWithCode = (data: { email: string; code: string; token: string }) =>
   post<LoginResponse>('/email-code-login/validity', { body: data })
 
 export const sendResetPasswordCode = (email: string, language = 'en-US') =>
-  post<CommonResponse & { data: string;message?: string ;code?: string }>('/forgot-password', { body: { email, language } })
+  post<CommonResponse & { data: string; message?: string; code?: string }>('/forgot-password', { body: { email, language } })
 
-export const verifyResetPasswordCode = (body: { email: string;code: string;token: string }) =>
+export const verifyResetPasswordCode = (body: { email: string; code: string; token: string }) =>
   post<CommonResponse & { is_valid: boolean }>('/forgot-password/validity', { body })
 
 export const sendDeleteAccountCode = () =>
   get<CommonResponse & { data: string }>('/account/delete/verify')
 
-export const verifyDeleteAccountCode = (body: { code: string;token: string }) =>
+export const verifyDeleteAccountCode = (body: { code: string; token: string }) =>
   post<CommonResponse & { is_valid: boolean }>('/account/delete', { body })
 
-export const submitDeleteAccountFeedback = (body: { feedback: string;email: string }) =>
+export const submitDeleteAccountFeedback = (body: { feedback: string; email: string }) =>
   post<CommonResponse>('/account/delete/feedback', { body })
+
+export const getDocDownloadUrl = (doc_name: string) =>
+  get<{ url: string }>('/compliance/download', { params: { doc_name } }, { silent: true })
diff --git a/web/themes/dark.css b/web/themes/dark.css
index 892f48fa48..5b191d1a3d 100644
--- a/web/themes/dark.css
+++ b/web/themes/dark.css
@@ -1,737 +1,739 @@
 /* Attention: Generate by code. Don't update by hand!!! */
 html[data-theme="dark"] {
-  --color-components-input-bg-normal: #FFFFFF14;
-  --color-components-input-text-placeholder: #C8CEDA4D;
-  --color-components-input-bg-hover: #FFFFFF08;
-  --color-components-input-bg-active: #FFFFFF0D;
+  --color-components-input-bg-normal: #ffffff14;
+  --color-components-input-text-placeholder: #c8ceda4d;
+  --color-components-input-bg-hover: #ffffff08;
+  --color-components-input-bg-active: #ffffff0d;
   --color-components-input-border-active: #747481;
-  --color-components-input-border-destructive: #F97066;
-  --color-components-input-text-filled: #F4F4F5;
-  --color-components-input-bg-destructive: #FFFFFF03;
-  --color-components-input-bg-disabled: #FFFFFF08;
-  --color-components-input-text-disabled: #C8CEDA4D;
-  --color-components-input-text-filled-disabled: #C8CEDA99;
-  --color-components-input-border-hover: #3A3A40;
-  --color-components-input-border-active-prompt-1: #36BFFA;
-  --color-components-input-border-active-prompt-2: #296DFF;
+  --color-components-input-border-destructive: #f97066;
+  --color-components-input-text-filled: #f4f4f5;
+  --color-components-input-bg-destructive: #ffffff03;
+  --color-components-input-bg-disabled: #ffffff08;
+  --color-components-input-text-disabled: #c8ceda4d;
+  --color-components-input-text-filled-disabled: #c8ceda99;
+  --color-components-input-border-hover: #3a3a40;
+  --color-components-input-border-active-prompt-1: #36bffa;
+  --color-components-input-border-active-prompt-2: #296dff;
 
-  --color-components-kbd-bg-gray: #FFFFFF08;
-  --color-components-kbd-bg-white: #FFFFFF1F;
+  --color-components-kbd-bg-gray: #ffffff08;
+  --color-components-kbd-bg-white: #ffffff1f;
 
-  --color-components-tooltip-bg: #18181BF2;
+  --color-components-tooltip-bg: #18181bf2;
 
-  --color-components-button-primary-text: #FFFFFFF2;
-  --color-components-button-primary-bg: #155AEF;
-  --color-components-button-primary-border: #FFFFFF1F;
-  --color-components-button-primary-bg-hover: #296DFF;
-  --color-components-button-primary-border-hover: #FFFFFF33;
-  --color-components-button-primary-bg-disabled: #FFFFFF08;
-  --color-components-button-primary-border-disabled: #FFFFFF14;
-  --color-components-button-primary-text-disabled: #FFFFFF33;
+  --color-components-button-primary-text: #fffffff2;
+  --color-components-button-primary-bg: #155aef;
+  --color-components-button-primary-border: #ffffff1f;
+  --color-components-button-primary-bg-hover: #296dff;
+  --color-components-button-primary-border-hover: #ffffff33;
+  --color-components-button-primary-bg-disabled: #ffffff08;
+  --color-components-button-primary-border-disabled: #ffffff14;
+  --color-components-button-primary-text-disabled: #ffffff33;
 
-  --color-components-button-secondary-text: #FFFFFFCC;
-  --color-components-button-secondary-text-disabled: #FFFFFF33;
-  --color-components-button-secondary-bg: #FFFFFF1F;
-  --color-components-button-secondary-bg-hover: #FFFFFF33;
-  --color-components-button-secondary-bg-disabled: #FFFFFF08;
-  --color-components-button-secondary-border: #FFFFFF14;
-  --color-components-button-secondary-border-hover: #FFFFFF1F;
-  --color-components-button-secondary-border-disabled: #FFFFFF0D;
+  --color-components-button-secondary-text: #ffffffcc;
+  --color-components-button-secondary-text-disabled: #ffffff33;
+  --color-components-button-secondary-bg: #ffffff1f;
+  --color-components-button-secondary-bg-hover: #ffffff33;
+  --color-components-button-secondary-bg-disabled: #ffffff08;
+  --color-components-button-secondary-border: #ffffff14;
+  --color-components-button-secondary-border-hover: #ffffff1f;
+  --color-components-button-secondary-border-disabled: #ffffff0d;
 
-  --color-components-button-tertiary-text: #D9D9DE;
-  --color-components-button-tertiary-text-disabled: #FFFFFF33;
-  --color-components-button-tertiary-bg: #FFFFFF14;
-  --color-components-button-tertiary-bg-hover: #FFFFFF1F;
-  --color-components-button-tertiary-bg-disabled: #FFFFFF08;
+  --color-components-button-tertiary-text: #d9d9de;
+  --color-components-button-tertiary-text-disabled: #ffffff33;
+  --color-components-button-tertiary-bg: #ffffff14;
+  --color-components-button-tertiary-bg-hover: #ffffff1f;
+  --color-components-button-tertiary-bg-disabled: #ffffff08;
 
-  --color-components-button-ghost-text: #D9D9DE;
-  --color-components-button-ghost-text-disabled: #FFFFFF33;
-  --color-components-button-ghost-bg-hover: #C8CEDA14;
+  --color-components-button-ghost-text: #d9d9de;
+  --color-components-button-ghost-text-disabled: #ffffff33;
+  --color-components-button-ghost-bg-hover: #c8ceda14;
 
-  --color-components-button-destructive-primary-text: #FFFFFFF2;
-  --color-components-button-destructive-primary-text-disabled: #FFFFFF33;
-  --color-components-button-destructive-primary-bg: #D92D20;
-  --color-components-button-destructive-primary-bg-hover: #F04438;
-  --color-components-button-destructive-primary-bg-disabled: #F0443824;
-  --color-components-button-destructive-primary-border: #FFFFFF1F;
-  --color-components-button-destructive-primary-border-hover: #FFFFFF33;
-  --color-components-button-destructive-primary-border-disabled: #FFFFFF14;
+  --color-components-button-destructive-primary-text: #fffffff2;
+  --color-components-button-destructive-primary-text-disabled: #ffffff33;
+  --color-components-button-destructive-primary-bg: #d92d20;
+  --color-components-button-destructive-primary-bg-hover: #f04438;
+  --color-components-button-destructive-primary-bg-disabled: #f0443824;
+  --color-components-button-destructive-primary-border: #ffffff1f;
+  --color-components-button-destructive-primary-border-hover: #ffffff33;
+  --color-components-button-destructive-primary-border-disabled: #ffffff14;
 
-  --color-components-button-destructive-secondary-text: #F97066;
-  --color-components-button-destructive-secondary-text-disabled: #F0443833;
-  --color-components-button-destructive-secondary-bg: #FFFFFF1F;
-  --color-components-button-destructive-secondary-bg-hover: #F0443824;
-  --color-components-button-destructive-secondary-bg-disabled: #F0443814;
-  --color-components-button-destructive-secondary-border: #FFFFFF14;
-  --color-components-button-destructive-secondary-border-hover: #FFFFFF1F;
-  --color-components-button-destructive-secondary-border-disabled: #F0443814;
+  --color-components-button-destructive-secondary-text: #f97066;
+  --color-components-button-destructive-secondary-text-disabled: #f0443833;
+  --color-components-button-destructive-secondary-bg: #ffffff1f;
+  --color-components-button-destructive-secondary-bg-hover: #f0443824;
+  --color-components-button-destructive-secondary-bg-disabled: #f0443814;
+  --color-components-button-destructive-secondary-border: #ffffff14;
+  --color-components-button-destructive-secondary-border-hover: #ffffff1f;
+  --color-components-button-destructive-secondary-border-disabled: #f0443814;
 
-  --color-components-button-destructive-tertiary-text: #F97066;
-  --color-components-button-destructive-tertiary-text-disabled: #F0443833;
-  --color-components-button-destructive-tertiary-bg: #F0443824;
-  --color-components-button-destructive-tertiary-bg-hover: #F0443840;
-  --color-components-button-destructive-tertiary-bg-disabled: #F0443814;
+  --color-components-button-destructive-tertiary-text: #f97066;
+  --color-components-button-destructive-tertiary-text-disabled: #f0443833;
+  --color-components-button-destructive-tertiary-bg: #f0443824;
+  --color-components-button-destructive-tertiary-bg-hover: #f0443840;
+  --color-components-button-destructive-tertiary-bg-disabled: #f0443814;
 
-  --color-components-button-destructive-ghost-text: #F97066;
-  --color-components-button-destructive-ghost-text-disabled: #F0443833;
-  --color-components-button-destructive-ghost-bg-hover: #F0443824;
+  --color-components-button-destructive-ghost-text: #f97066;
+  --color-components-button-destructive-ghost-text-disabled: #f0443833;
+  --color-components-button-destructive-ghost-bg-hover: #f0443824;
 
-  --color-components-button-secondary-accent-text: #FFFFFFCC;
-  --color-components-button-secondary-accent-text-disabled: #FFFFFF33;
-  --color-components-button-secondary-accent-bg: #FFFFFF0D;
-  --color-components-button-secondary-accent-bg-hover: #FFFFFF14;
-  --color-components-button-secondary-accent-bg-disabled: #FFFFFF08;
-  --color-components-button-secondary-accent-border: #FFFFFF14;
-  --color-components-button-secondary-accent-border-hover: #FFFFFF1F;
-  --color-components-button-secondary-accent-border-disabled: #FFFFFF0D;
+  --color-components-button-secondary-accent-text: #ffffffcc;
+  --color-components-button-secondary-accent-text-disabled: #ffffff33;
+  --color-components-button-secondary-accent-bg: #ffffff0d;
+  --color-components-button-secondary-accent-bg-hover: #ffffff14;
+  --color-components-button-secondary-accent-bg-disabled: #ffffff08;
+  --color-components-button-secondary-accent-border: #ffffff14;
+  --color-components-button-secondary-accent-border-hover: #ffffff1f;
+  --color-components-button-secondary-accent-border-disabled: #ffffff0d;
 
-  --color-components-button-indigo-bg: #444CE7;
-  --color-components-button-indigo-bg-hover: #6172F3;
-  --color-components-button-indigo-bg-disabled: #FFFFFF08;
+  --color-components-button-indigo-bg: #444ce7;
+  --color-components-button-indigo-bg-hover: #6172f3;
+  --color-components-button-indigo-bg-disabled: #ffffff08;
 
-  --color-components-checkbox-icon: #FFFFFFF2;
-  --color-components-checkbox-icon-disabled: #FFFFFF33;
-  --color-components-checkbox-bg: #296DFF;
-  --color-components-checkbox-bg-hover: #5289FF;
-  --color-components-checkbox-bg-disabled: #FFFFFF08;
-  --color-components-checkbox-border: #FFFFFF66;
-  --color-components-checkbox-border-hover: #FFFFFF99;
-  --color-components-checkbox-border-disabled: #FFFFFF03;
-  --color-components-checkbox-bg-unchecked: #FFFFFF08;
-  --color-components-checkbox-bg-unchecked-hover: #FFFFFF0D;
-  --color-components-checkbox-bg-disabled-checked: #155AEF33;
+  --color-components-checkbox-icon: #fffffff2;
+  --color-components-checkbox-icon-disabled: #ffffff33;
+  --color-components-checkbox-bg: #296dff;
+  --color-components-checkbox-bg-hover: #5289ff;
+  --color-components-checkbox-bg-disabled: #ffffff08;
+  --color-components-checkbox-border: #ffffff66;
+  --color-components-checkbox-border-hover: #ffffff99;
+  --color-components-checkbox-border-disabled: #ffffff03;
+  --color-components-checkbox-bg-unchecked: #ffffff08;
+  --color-components-checkbox-bg-unchecked-hover: #ffffff0d;
+  --color-components-checkbox-bg-disabled-checked: #155aef33;
 
-  --color-components-radio-border-checked: #296DFF;
-  --color-components-radio-border-checked-hover: #5289FF;
-  --color-components-radio-border-checked-disabled: #155AEF33;
-  --color-components-radio-bg-disabled: #FFFFFF08;
-  --color-components-radio-border: #FFFFFF66;
-  --color-components-radio-border-hover: #FFFFFF99;
-  --color-components-radio-border-disabled: #FFFFFF03;
-  --color-components-radio-bg: #FFFFFF00;
-  --color-components-radio-bg-hover: #FFFFFF0D;
+  --color-components-radio-border-checked: #296dff;
+  --color-components-radio-border-checked-hover: #5289ff;
+  --color-components-radio-border-checked-disabled: #155aef33;
+  --color-components-radio-bg-disabled: #ffffff08;
+  --color-components-radio-border: #ffffff66;
+  --color-components-radio-border-hover: #ffffff99;
+  --color-components-radio-border-disabled: #ffffff03;
+  --color-components-radio-bg: #ffffff00;
+  --color-components-radio-bg-hover: #ffffff0d;
 
-  --color-components-toggle-knob: #F4F4F5;
-  --color-components-toggle-knob-disabled: #FFFFFF33;
-  --color-components-toggle-bg: #296DFF;
-  --color-components-toggle-bg-hover: #5289FF;
-  --color-components-toggle-bg-disabled: #FFFFFF14;
-  --color-components-toggle-bg-unchecked: #FFFFFF33;
-  --color-components-toggle-bg-unchecked-hover: #FFFFFF4D;
-  --color-components-toggle-bg-unchecked-disabled: #FFFFFF14;
-  --color-components-toggle-knob-hover: #FEFEFE;
+  --color-components-toggle-knob: #f4f4f5;
+  --color-components-toggle-knob-disabled: #ffffff33;
+  --color-components-toggle-bg: #296dff;
+  --color-components-toggle-bg-hover: #5289ff;
+  --color-components-toggle-bg-disabled: #ffffff14;
+  --color-components-toggle-bg-unchecked: #ffffff33;
+  --color-components-toggle-bg-unchecked-hover: #ffffff4d;
+  --color-components-toggle-bg-unchecked-disabled: #ffffff14;
+  --color-components-toggle-knob-hover: #fefefe;
 
   --color-components-card-bg: #222225;
-  --color-components-card-border: #FFFFFF08;
-  --color-components-card-bg-alt: #27272B;
+  --color-components-card-border: #ffffff08;
+  --color-components-card-bg-alt: #27272b;
 
-  --color-components-menu-item-text: #C8CEDA99;
-  --color-components-menu-item-text-active: #FFFFFFF2;
-  --color-components-menu-item-text-hover: #C8CEDACC;
-  --color-components-menu-item-text-active-accent: #FFFFFFF2;
+  --color-components-menu-item-text: #c8ceda99;
+  --color-components-menu-item-text-active: #fffffff2;
+  --color-components-menu-item-text-hover: #c8cedacc;
+  --color-components-menu-item-text-active-accent: #fffffff2;
 
   --color-components-panel-bg: #222225;
-  --color-components-panel-bg-blur: #2C2C30F2;
-  --color-components-panel-border: #C8CEDA24;
-  --color-components-panel-border-subtle: #C8CEDA14;
+  --color-components-panel-bg-blur: #2c2c30f2;
+  --color-components-panel-border: #c8ceda24;
+  --color-components-panel-border-subtle: #c8ceda14;
   --color-components-panel-gradient-2: #222225;
-  --color-components-panel-gradient-1: #27272B;
+  --color-components-panel-gradient-1: #27272b;
   --color-components-panel-bg-alt: #222225;
-  --color-components-panel-on-panel-item-bg: #27272B;
-  --color-components-panel-on-panel-item-bg-hover: #3A3A40;
-  --color-components-panel-on-panel-item-bg-alt: #3A3A40;
-  --color-components-panel-on-panel-item-bg-transparent: #2C2C30F2;
-  --color-components-panel-on-panel-item-bg-hover-transparent: #3A3A4000;
-  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #FFFBFA00;
+  --color-components-panel-on-panel-item-bg: #27272b;
+  --color-components-panel-on-panel-item-bg-hover: #3a3a40;
+  --color-components-panel-on-panel-item-bg-alt: #3a3a40;
+  --color-components-panel-on-panel-item-bg-transparent: #2c2c30f2;
+  --color-components-panel-on-panel-item-bg-hover-transparent: #3a3a4000;
+  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #fffbfa00;
 
   --color-components-panel-bg-transparent: #22222500;
 
-  --color-components-main-nav-nav-button-text: #C8CEDA99;
-  --color-components-main-nav-nav-button-text-active: #F4F4F5;
-  --color-components-main-nav-nav-button-bg: #FFFFFF00;
-  --color-components-main-nav-nav-button-bg-active: #C8CEDA24;
-  --color-components-main-nav-nav-button-border: #FFFFFF14;
-  --color-components-main-nav-nav-button-bg-hover: #C8CEDA0A;
+  --color-components-main-nav-nav-button-text: #c8ceda99;
+  --color-components-main-nav-nav-button-text-active: #f4f4f5;
+  --color-components-main-nav-nav-button-bg: #ffffff00;
+  --color-components-main-nav-nav-button-bg-active: #c8ceda24;
+  --color-components-main-nav-nav-button-border: #ffffff14;
+  --color-components-main-nav-nav-button-bg-hover: #c8ceda0a;
 
-  --color-components-main-nav-nav-user-border: #FFFFFF0D;
+  --color-components-main-nav-nav-user-border: #ffffff0d;
 
-  --color-components-slider-knob: #F4F4F5;
-  --color-components-slider-knob-hover: #FEFEFE;
-  --color-components-slider-knob-disabled: #FFFFFF33;
-  --color-components-slider-range: #296DFF;
-  --color-components-slider-track: #FFFFFF33;
-  --color-components-slider-knob-border-hover: #1018284D;
+  --color-components-slider-knob: #f4f4f5;
+  --color-components-slider-knob-hover: #fefefe;
+  --color-components-slider-knob-disabled: #ffffff33;
+  --color-components-slider-range: #296dff;
+  --color-components-slider-track: #ffffff33;
+  --color-components-slider-knob-border-hover: #1018284d;
   --color-components-slider-knob-border: #10182833;
 
-  --color-components-segmented-control-item-active-bg: #FFFFFF14;
-  --color-components-segmented-control-item-active-border: #C8CEDA14;
-  --color-components-segmented-control-bg-normal: #18181BB2;
-  --color-components-segmented-control-item-active-accent-bg: #155AEF33;
-  --color-components-segmented-control-item-active-accent-border: #155AEF4D;
+  --color-components-segmented-control-item-active-bg: #ffffff14;
+  --color-components-segmented-control-item-active-border: #c8ceda14;
+  --color-components-segmented-control-bg-normal: #18181bb3;
+  --color-components-segmented-control-item-active-accent-bg: #155aef33;
+  --color-components-segmented-control-item-active-accent-border: #155aef4d;
 
-  --color-components-option-card-option-bg: #C8CEDA0A;
-  --color-components-option-card-option-selected-bg: #FFFFFF0D;
-  --color-components-option-card-option-selected-border: #5289FF;
-  --color-components-option-card-option-border: #C8CEDA33;
-  --color-components-option-card-option-bg-hover: #C8CEDA24;
-  --color-components-option-card-option-border-hover: #C8CEDA4D;
+  --color-components-option-card-option-bg: #c8ceda0a;
+  --color-components-option-card-option-selected-bg: #ffffff0d;
+  --color-components-option-card-option-selected-border: #5289ff;
+  --color-components-option-card-option-border: #c8ceda33;
+  --color-components-option-card-option-bg-hover: #c8ceda24;
+  --color-components-option-card-option-border-hover: #c8ceda4d;
 
-  --color-components-tab-active: #296DFF;
+  --color-components-tab-active: #296dff;
 
-  --color-components-badge-white-to-dark: #18181BCC;
-  --color-components-badge-status-light-success-bg: #17B26A;
-  --color-components-badge-status-light-success-border-inner: #47CD89;
-  --color-components-badge-status-light-success-halo: #17B26A4D;
+  --color-components-badge-white-to-dark: #18181bcc;
+  --color-components-badge-status-light-success-bg: #17b26a;
+  --color-components-badge-status-light-success-border-inner: #47cd89;
+  --color-components-badge-status-light-success-halo: #17b26a4d;
 
   --color-components-badge-status-light-border-outer: #222225;
-  --color-components-badge-status-light-high-light: #FFFFFF4D;
-  --color-components-badge-status-light-warning-bg: #F79009;
-  --color-components-badge-status-light-warning-border-inner: #FDB022;
-  --color-components-badge-status-light-warning-halo: #F790094D;
+  --color-components-badge-status-light-high-light: #ffffff4d;
+  --color-components-badge-status-light-warning-bg: #f79009;
+  --color-components-badge-status-light-warning-border-inner: #fdb022;
+  --color-components-badge-status-light-warning-halo: #f790094d;
 
-  --color-components-badge-status-light-error-bg: #F04438;
-  --color-components-badge-status-light-error-border-inner: #F97066;
-  --color-components-badge-status-light-error-halo: #F044384D;
+  --color-components-badge-status-light-error-bg: #f04438;
+  --color-components-badge-status-light-error-border-inner: #f97066;
+  --color-components-badge-status-light-error-halo: #f044384d;
 
-  --color-components-badge-status-light-normal-bg: #0BA5EC;
-  --color-components-badge-status-light-normal-border-inner: #36BFFA;
-  --color-components-badge-status-light-normal-halo: #0BA5EC4D;
+  --color-components-badge-status-light-normal-bg: #0ba5ec;
+  --color-components-badge-status-light-normal-border-inner: #36bffa;
+  --color-components-badge-status-light-normal-halo: #0ba5ec4d;
 
-  --color-components-badge-status-light-disabled-bg: #676F83;
-  --color-components-badge-status-light-disabled-border-inner: #98A2B2;
-  --color-components-badge-status-light-disabled-halo: #C8CEDA14;
+  --color-components-badge-status-light-disabled-bg: #676f83;
+  --color-components-badge-status-light-disabled-border-inner: #98a2b2;
+  --color-components-badge-status-light-disabled-halo: #c8ceda14;
 
-  --color-components-badge-bg-green-soft: #17B26A24;
-  --color-components-badge-bg-orange-soft: #F7900924;
-  --color-components-badge-bg-red-soft: #F0443824;
-  --color-components-badge-bg-blue-light-soft: #0BA5EC24;
-  --color-components-badge-bg-gray-soft: #C8CEDA14;
+  --color-components-badge-bg-green-soft: #17b26a24;
+  --color-components-badge-bg-orange-soft: #f7900924;
+  --color-components-badge-bg-red-soft: #f0443824;
+  --color-components-badge-bg-blue-light-soft: #0ba5ec24;
+  --color-components-badge-bg-gray-soft: #c8ceda14;
+  --color-components-badge-bg-dimm: #ffffff08;
 
-  --color-components-chart-line: #5289FF;
-  --color-components-chart-area-1: #155AEF33;
-  --color-components-chart-area-2: #155AEF0A;
-  --color-components-chart-current-1: #5289FF;
-  --color-components-chart-current-2: #155AEF4D;
-  --color-components-chart-bg: #18181BF2;
+  --color-components-chart-line: #5289ff;
+  --color-components-chart-area-1: #155aef33;
+  --color-components-chart-area-2: #155aef0a;
+  --color-components-chart-current-1: #5289ff;
+  --color-components-chart-current-2: #155aef4d;
+  --color-components-chart-bg: #18181bf2;
 
   --color-components-actionbar-bg: #222225;
-  --color-components-actionbar-border: #C8CEDA14;
-  --color-components-actionbar-bg-accent: #27272B;
-  --color-components-actionbar-border-accent: #5289FF;
+  --color-components-actionbar-border: #c8ceda14;
+  --color-components-actionbar-bg-accent: #27272b;
+  --color-components-actionbar-border-accent: #5289ff;
 
-  --color-components-dropzone-bg-alt: #18181BCC;
-  --color-components-dropzone-bg: #18181B66;
-  --color-components-dropzone-bg-accent: #155AEF33;
-  --color-components-dropzone-border: #C8CEDA24;
-  --color-components-dropzone-border-alt: #C8CEDA33;
-  --color-components-dropzone-border-accent: #84ABFF;
+  --color-components-dropzone-bg-alt: #18181bcc;
+  --color-components-dropzone-bg: #18181b66;
+  --color-components-dropzone-bg-accent: #155aef33;
+  --color-components-dropzone-border: #c8ceda24;
+  --color-components-dropzone-border-alt: #c8ceda33;
+  --color-components-dropzone-border-accent: #84abff;
 
-  --color-components-progress-brand-progress: #5289FF;
-  --color-components-progress-brand-border: #5289FF;
-  --color-components-progress-brand-bg: #155AEF0A;
+  --color-components-progress-brand-progress: #5289ff;
+  --color-components-progress-brand-border: #5289ff;
+  --color-components-progress-brand-bg: #155aef0a;
 
-  --color-components-progress-white-progress: #FFFFFF;
-  --color-components-progress-white-border: #FFFFFFF2;
-  --color-components-progress-white-bg: #FFFFFF03;
+  --color-components-progress-white-progress: #ffffff;
+  --color-components-progress-white-border: #fffffff2;
+  --color-components-progress-white-bg: #ffffff03;
 
-  --color-components-progress-gray-progress: #98A2B2;
-  --color-components-progress-gray-border: #98A2B2;
-  --color-components-progress-gray-bg: #C8CEDA05;
+  --color-components-progress-gray-progress: #98a2b2;
+  --color-components-progress-gray-border: #98a2b2;
+  --color-components-progress-gray-bg: #c8ceda05;
 
-  --color-components-progress-warning-progress: #FDB022;
-  --color-components-progress-warning-border: #FDB022;
-  --color-components-progress-warning-bg: #F790090A;
+  --color-components-progress-warning-progress: #fdb022;
+  --color-components-progress-warning-border: #fdb022;
+  --color-components-progress-warning-bg: #f790090a;
 
-  --color-components-progress-error-progress: #F97066;
-  --color-components-progress-error-border: #F97066;
-  --color-components-progress-error-bg: #F044380A;
+  --color-components-progress-error-progress: #f97066;
+  --color-components-progress-error-border: #f97066;
+  --color-components-progress-error-bg: #f044380a;
 
-  --color-components-chat-input-audio-bg: #155AEF33;
-  --color-components-chat-input-audio-wave-default: #C8CEDA24;
-  --color-components-chat-input-bg-mask-1: #18181B0A;
-  --color-components-chat-input-bg-mask-2: #18181B99;
-  --color-components-chat-input-border: #C8CEDA33;
-  --color-components-chat-input-audio-wave-active: #84ABFF;
-  --color-components-chat-input-audio-bg-alt: #18181BE5;
+  --color-components-chat-input-audio-bg: #155aef33;
+  --color-components-chat-input-audio-wave-default: #c8ceda24;
+  --color-components-chat-input-bg-mask-1: #18181b0a;
+  --color-components-chat-input-bg-mask-2: #18181b99;
+  --color-components-chat-input-border: #c8ceda33;
+  --color-components-chat-input-audio-wave-active: #84abff;
+  --color-components-chat-input-audio-bg-alt: #18181be6;
 
-  --color-components-avatar-shape-fill-stop-0: #FFFFFFF2;
-  --color-components-avatar-shape-fill-stop-100: #FFFFFFCC;
+  --color-components-avatar-shape-fill-stop-0: #fffffff2;
+  --color-components-avatar-shape-fill-stop-100: #ffffffcc;
 
-  --color-components-avatar-bg-mask-stop-0: #FFFFFF33;
-  --color-components-avatar-bg-mask-stop-100: #FFFFFF08;
+  --color-components-avatar-bg-mask-stop-0: #ffffff33;
+  --color-components-avatar-bg-mask-stop-100: #ffffff08;
 
   --color-components-avatar-default-avatar-bg: #222225;
-  --color-components-avatar-mask-darkmode-dimmed: #0000001F;
+  --color-components-avatar-mask-darkmode-dimmed: #0000001f;
 
-  --color-components-label-gray: #C8CEDA24;
+  --color-components-label-gray: #c8ceda24;
 
-  --color-components-premium-badge-blue-bg-stop-0: #5289FF;
-  --color-components-premium-badge-blue-bg-stop-100: #296DFF;
-  --color-components-premium-badge-blue-stroke-stop-0: #FFFFFF33;
-  --color-components-premium-badge-blue-stroke-stop-100: #296DFF;
-  --color-components-premium-badge-blue-text-stop-0: #EFF4FF;
-  --color-components-premium-badge-blue-text-stop-100: #B2CAFF;
-  --color-components-premium-badge-blue-glow: #004AEB;
-  --color-components-premium-badge-blue-bg-stop-0-hover: #84ABFF;
-  --color-components-premium-badge-blue-bg-stop-100-hover: #004AEB;
-  --color-components-premium-badge-blue-glow-hover: #D1E0FF;
-  --color-components-premium-badge-blue-stroke-stop-0-hover: #FFFFFF80;
-  --color-components-premium-badge-blue-stroke-stop-100-hover: #296DFF;
+  --color-components-premium-badge-blue-bg-stop-0: #5289ff;
+  --color-components-premium-badge-blue-bg-stop-100: #296dff;
+  --color-components-premium-badge-blue-stroke-stop-0: #ffffff33;
+  --color-components-premium-badge-blue-stroke-stop-100: #296dff;
+  --color-components-premium-badge-blue-text-stop-0: #eff4ff;
+  --color-components-premium-badge-blue-text-stop-100: #b2caff;
+  --color-components-premium-badge-blue-glow: #004aeb;
+  --color-components-premium-badge-blue-bg-stop-0-hover: #84abff;
+  --color-components-premium-badge-blue-bg-stop-100-hover: #004aeb;
+  --color-components-premium-badge-blue-glow-hover: #d1e0ff;
+  --color-components-premium-badge-blue-stroke-stop-0-hover: #ffffff80;
+  --color-components-premium-badge-blue-stroke-stop-100-hover: #296dff;
 
-  --color-components-premium-badge-highlight-stop-0: #FFFFFF1F;
-  --color-components-premium-badge-highlight-stop-100: #FFFFFF33;
-  --color-components-premium-badge-indigo-bg-stop-0: #6172F3;
-  --color-components-premium-badge-indigo-bg-stop-100: #3538CD;
-  --color-components-premium-badge-indigo-stroke-stop-0: #FFFFFF33;
-  --color-components-premium-badge-indigo-stroke-stop-100: #444CE7;
-  --color-components-premium-badge-indigo-text-stop-0: #EEF4FF;
-  --color-components-premium-badge-indigo-text-stop-100: #C7D7FE;
-  --color-components-premium-badge-indigo-glow: #3538CD;
-  --color-components-premium-badge-indigo-glow-hover: #E0EAFF;
-  --color-components-premium-badge-indigo-bg-stop-0-hover: #A4BCFD;
-  --color-components-premium-badge-indigo-bg-stop-100-hover: #3538CD;
-  --color-components-premium-badge-indigo-stroke-stop-0-hover: #FFFFFF80;
-  --color-components-premium-badge-indigo-stroke-stop-100-hover: #444CE7;
+  --color-components-premium-badge-highlight-stop-0: #ffffff1f;
+  --color-components-premium-badge-highlight-stop-100: #ffffff33;
+  --color-components-premium-badge-indigo-bg-stop-0: #6172f3;
+  --color-components-premium-badge-indigo-bg-stop-100: #3538cd;
+  --color-components-premium-badge-indigo-stroke-stop-0: #ffffff33;
+  --color-components-premium-badge-indigo-stroke-stop-100: #444ce7;
+  --color-components-premium-badge-indigo-text-stop-0: #eef4ff;
+  --color-components-premium-badge-indigo-text-stop-100: #c7d7fe;
+  --color-components-premium-badge-indigo-glow: #3538cd;
+  --color-components-premium-badge-indigo-glow-hover: #e0eaff;
+  --color-components-premium-badge-indigo-bg-stop-0-hover: #a4bcfd;
+  --color-components-premium-badge-indigo-bg-stop-100-hover: #3538cd;
+  --color-components-premium-badge-indigo-stroke-stop-0-hover: #ffffff80;
+  --color-components-premium-badge-indigo-stroke-stop-100-hover: #444ce7;
 
-  --color-components-premium-badge-grey-bg-stop-0: #676F83;
+  --color-components-premium-badge-grey-bg-stop-0: #676f83;
   --color-components-premium-badge-grey-bg-stop-100: #495464;
-  --color-components-premium-badge-grey-stroke-stop-0: #FFFFFF1F;
+  --color-components-premium-badge-grey-stroke-stop-0: #ffffff1f;
   --color-components-premium-badge-grey-stroke-stop-100: #495464;
-  --color-components-premium-badge-grey-text-stop-0: #F9FAFB;
-  --color-components-premium-badge-grey-text-stop-100: #E9EBF0;
+  --color-components-premium-badge-grey-text-stop-0: #f9fafb;
+  --color-components-premium-badge-grey-text-stop-100: #e9ebf0;
   --color-components-premium-badge-grey-glow: #354052;
-  --color-components-premium-badge-grey-glow-hover: #F2F4F7;
-  --color-components-premium-badge-grey-bg-stop-0-hover: #98A2B2;
+  --color-components-premium-badge-grey-glow-hover: #f2f4f7;
+  --color-components-premium-badge-grey-bg-stop-0-hover: #98a2b2;
   --color-components-premium-badge-grey-bg-stop-100-hover: #354052;
-  --color-components-premium-badge-grey-stroke-stop-0-hover: #FFFFFF80;
-  --color-components-premium-badge-grey-stroke-stop-100-hover: #676F83;
+  --color-components-premium-badge-grey-stroke-stop-0-hover: #ffffff80;
+  --color-components-premium-badge-grey-stroke-stop-100-hover: #676f83;
 
-  --color-components-premium-badge-orange-bg-stop-0: #FF692E;
-  --color-components-premium-badge-orange-bg-stop-100: #E04F16;
-  --color-components-premium-badge-orange-stroke-stop-0: #FFFFFF33;
-  --color-components-premium-badge-orange-stroke-stop-100: #FF4405;
-  --color-components-premium-badge-orange-text-stop-0: #FEF6EE;
-  --color-components-premium-badge-orange-text-stop-100: #F9DBAF;
-  --color-components-premium-badge-orange-glow: #B93815;
-  --color-components-premium-badge-orange-glow-hover: #FDEAD7;
-  --color-components-premium-badge-orange-bg-stop-0-hover: #FF692E;
-  --color-components-premium-badge-orange-bg-stop-100-hover: #B93815;
-  --color-components-premium-badge-orange-stroke-stop-0-hover: #FFFFFF80;
-  --color-components-premium-badge-orange-stroke-stop-100-hover: #FF4405;
+  --color-components-premium-badge-orange-bg-stop-0: #ff692e;
+  --color-components-premium-badge-orange-bg-stop-100: #e04f16;
+  --color-components-premium-badge-orange-stroke-stop-0: #ffffff33;
+  --color-components-premium-badge-orange-stroke-stop-100: #ff4405;
+  --color-components-premium-badge-orange-text-stop-0: #fef6ee;
+  --color-components-premium-badge-orange-text-stop-100: #f9dbaf;
+  --color-components-premium-badge-orange-glow: #b93815;
+  --color-components-premium-badge-orange-glow-hover: #fdead7;
+  --color-components-premium-badge-orange-bg-stop-0-hover: #ff692e;
+  --color-components-premium-badge-orange-bg-stop-100-hover: #b93815;
+  --color-components-premium-badge-orange-stroke-stop-0-hover: #ffffff80;
+  --color-components-premium-badge-orange-stroke-stop-100-hover: #ff4405;
 
-  --color-components-progress-bar-bg: #C8CEDA14;
-  --color-components-progress-bar-progress: #C8CEDA24;
-  --color-components-progress-bar-border: #FFFFFF08;
-  --color-components-progress-bar-progress-solid: #FFFFFFF2;
-  --color-components-progress-bar-progress-highlight: #C8CEDA33;
+  --color-components-progress-bar-bg: #c8ceda14;
+  --color-components-progress-bar-progress: #c8ceda24;
+  --color-components-progress-bar-border: #ffffff08;
+  --color-components-progress-bar-progress-solid: #fffffff2;
+  --color-components-progress-bar-progress-highlight: #c8ceda33;
 
-  --color-components-icon-bg-red-solid: #D92D20;
-  --color-components-icon-bg-rose-solid: #E31B54;
-  --color-components-icon-bg-pink-solid: #DD2590;
-  --color-components-icon-bg-orange-dark-solid: #FF4405;
-  --color-components-icon-bg-yellow-solid: #EAAA08;
-  --color-components-icon-bg-green-solid: #4CA30D;
-  --color-components-icon-bg-teal-solid: #0E9384;
-  --color-components-icon-bg-blue-light-solid: #0BA5EC;
-  --color-components-icon-bg-blue-solid: #155AEF;
-  --color-components-icon-bg-indigo-solid: #444CE7;
-  --color-components-icon-bg-violet-solid: #7839EE;
-  --color-components-icon-bg-midnight-solid: #5D698D;
-  --color-components-icon-bg-rose-soft: #F63D6833;
-  --color-components-icon-bg-pink-soft: #EE46BC33;
-  --color-components-icon-bg-orange-dark-soft: #FF440533;
-  --color-components-icon-bg-yellow-soft: #EAAA0833;
-  --color-components-icon-bg-green-soft: #66C61C33;
-  --color-components-icon-bg-teal-soft: #15B79E33;
-  --color-components-icon-bg-blue-light-soft: #0BA5EC33;
-  --color-components-icon-bg-blue-soft: #155AEF33;
-  --color-components-icon-bg-indigo-soft: #6172F333;
-  --color-components-icon-bg-violet-soft: #875BF733;
-  --color-components-icon-bg-midnight-soft: #828DAD33;
-  --color-components-icon-bg-red-soft: #F0443833;
-  --color-components-icon-bg-orange-solid: #F79009;
-  --color-components-icon-bg-orange-soft: #F7900933;
+  --color-components-icon-bg-red-solid: #d92d20;
+  --color-components-icon-bg-rose-solid: #e31b54;
+  --color-components-icon-bg-pink-solid: #dd2590;
+  --color-components-icon-bg-orange-dark-solid: #ff4405;
+  --color-components-icon-bg-yellow-solid: #eaaa08;
+  --color-components-icon-bg-green-solid: #4ca30d;
+  --color-components-icon-bg-teal-solid: #0e9384;
+  --color-components-icon-bg-blue-light-solid: #0ba5ec;
+  --color-components-icon-bg-blue-solid: #155aef;
+  --color-components-icon-bg-indigo-solid: #444ce7;
+  --color-components-icon-bg-violet-solid: #7839ee;
+  --color-components-icon-bg-midnight-solid: #5d698d;
+  --color-components-icon-bg-rose-soft: #f63d6833;
+  --color-components-icon-bg-pink-soft: #ee46bc33;
+  --color-components-icon-bg-orange-dark-soft: #ff440533;
+  --color-components-icon-bg-yellow-soft: #eaaa0833;
+  --color-components-icon-bg-green-soft: #66c61c33;
+  --color-components-icon-bg-teal-soft: #15b79e33;
+  --color-components-icon-bg-blue-light-soft: #0ba5ec33;
+  --color-components-icon-bg-blue-soft: #155aef33;
+  --color-components-icon-bg-indigo-soft: #6172f333;
+  --color-components-icon-bg-violet-soft: #875bf733;
+  --color-components-icon-bg-midnight-soft: #828dad33;
+  --color-components-icon-bg-red-soft: #f0443833;
+  --color-components-icon-bg-orange-solid: #f79009;
+  --color-components-icon-bg-orange-soft: #f7900933;
 
-  --color-text-primary: #FBFBFC;
-  --color-text-secondary: #D9D9DE;
-  --color-text-tertiary: #C8CEDA99;
-  --color-text-quaternary: #C8CEDA66;
-  --color-text-destructive: #F97066;
-  --color-text-success: #17B26A;
-  --color-text-warning: #F79009;
-  --color-text-destructive-secondary: #F97066;
-  --color-text-success-secondary: #47CD89;
-  --color-text-warning-secondary: #FDB022;
-  --color-text-accent: #5289FF;
-  --color-text-primary-on-surface: #FFFFFFF2;
-  --color-text-placeholder: #C8CEDA4D;
-  --color-text-disabled: #C8CEDA4D;
-  --color-text-accent-secondary: #84ABFF;
-  --color-text-accent-light-mode-only: #D9D9DE;
-  --color-text-text-selected: #155AEF4D;
-  --color-text-secondary-on-surface: #FFFFFFE5;
-  --color-text-logo-text: #E9E9EC;
-  --color-text-empty-state-icon: #C8CEDA4D;
-  --color-text-inverted: #FFFFFF;
-  --color-text-inverted-dimmed: #FFFFFFCC;
+  --color-text-primary: #fbfbfc;
+  --color-text-secondary: #d9d9de;
+  --color-text-tertiary: #c8ceda99;
+  --color-text-quaternary: #c8ceda66;
+  --color-text-destructive: #f97066;
+  --color-text-success: #17b26a;
+  --color-text-warning: #f79009;
+  --color-text-destructive-secondary: #f97066;
+  --color-text-success-secondary: #47cd89;
+  --color-text-warning-secondary: #fdb022;
+  --color-text-accent: #5289ff;
+  --color-text-primary-on-surface: #fffffff2;
+  --color-text-placeholder: #c8ceda4d;
+  --color-text-disabled: #c8ceda4d;
+  --color-text-accent-secondary: #84abff;
+  --color-text-accent-light-mode-only: #d9d9de;
+  --color-text-text-selected: #155aef4d;
+  --color-text-secondary-on-surface: #ffffffe6;
+  --color-text-logo-text: #e9e9ec;
+  --color-text-empty-state-icon: #c8ceda4d;
+  --color-text-inverted: #ffffff;
+  --color-text-inverted-dimmed: #ffffffcc;
 
-  --color-background-body: #1D1D20;
+  --color-background-body: #1d1d20;
   --color-background-default-subtle: #222225;
-  --color-background-neutral-subtle: #1D1D20;
-  --color-background-sidenav-bg: #27272AEB;
+  --color-background-neutral-subtle: #1d1d20;
+  --color-background-sidenav-bg: #27272aeb;
   --color-background-default: #222225;
-  --color-background-soft: #18181B40;
+  --color-background-soft: #18181b40;
   --color-background-gradient-bg-fill-chat-bg-1: #222225;
-  --color-background-gradient-bg-fill-chat-bg-2: #1D1D20;
-  --color-background-gradient-bg-fill-chat-bubble-bg-1: #C8CEDA14;
-  --color-background-gradient-bg-fill-chat-bubble-bg-2: #C8CEDA05;
-  --color-background-gradient-bg-fill-debug-bg-1: #C8CEDA14;
-  --color-background-gradient-bg-fill-debug-bg-2: #18181B0A;
+  --color-background-gradient-bg-fill-chat-bg-2: #1d1d20;
+  --color-background-gradient-bg-fill-chat-bubble-bg-1: #c8ceda14;
+  --color-background-gradient-bg-fill-chat-bubble-bg-2: #c8ceda05;
+  --color-background-gradient-bg-fill-debug-bg-1: #c8ceda14;
+  --color-background-gradient-bg-fill-debug-bg-2: #18181b0a;
 
-  --color-background-gradient-mask-gray: #18181B14;
+  --color-background-gradient-mask-gray: #18181b14;
   --color-background-gradient-mask-transparent: #00000000;
-  --color-background-gradient-mask-input-clear-2: #393A3E00;
-  --color-background-gradient-mask-input-clear-1: #393A3E;
+  --color-background-gradient-mask-input-clear-2: #393a3e00;
+  --color-background-gradient-mask-input-clear-1: #393a3e;
   --color-background-gradient-mask-transparent-dark: #00000000;
-  --color-background-gradient-mask-side-panel-2: #18181BE5;
-  --color-background-gradient-mask-side-panel-1: #18181B0A;
+  --color-background-gradient-mask-side-panel-2: #18181be6;
+  --color-background-gradient-mask-side-panel-1: #18181b0a;
 
-  --color-background-default-burn: #1D1D20;
-  --color-background-overlay-fullscreen: #27272AF7;
-  --color-background-default-lighter: #C8CEDA0A;
-  --color-background-section: #18181B66;
-  --color-background-interaction-from-bg-1: #18181B66;
-  --color-background-interaction-from-bg-2: #18181B24;
-  --color-background-section-burn: #18181B99;
-  --color-background-default-dodge: #3A3A40;
-  --color-background-overlay: #18181BCC;
-  --color-background-default-dimmed: #27272B;
-  --color-background-default-hover: #27272B;
-  --color-background-overlay-alt: #18181B66;
-  --color-background-surface-white: #FFFFFFE5;
-  --color-background-overlay-destructive: #F044384D;
-  --color-background-overlay-backdrop: #18181BF2;
+  --color-background-default-burn: #1d1d20;
+  --color-background-overlay-fullscreen: #27272af7;
+  --color-background-default-lighter: #c8ceda0a;
+  --color-background-section: #18181b66;
+  --color-background-interaction-from-bg-1: #18181b66;
+  --color-background-interaction-from-bg-2: #18181b24;
+  --color-background-section-burn: #18181b99;
+  --color-background-default-dodge: #3a3a40;
+  --color-background-overlay: #18181bcc;
+  --color-background-default-dimmed: #27272b;
+  --color-background-default-hover: #27272b;
+  --color-background-overlay-alt: #18181b66;
+  --color-background-surface-white: #ffffffe6;
+  --color-background-overlay-destructive: #f044384d;
+  --color-background-overlay-backdrop: #18181bf2;
 
-  --color-shadow-shadow-1: #0000000D;
-  --color-shadow-shadow-3: #0000001A;
-  --color-shadow-shadow-4: #0000001F;
+  --color-shadow-shadow-1: #0000000d;
+  --color-shadow-shadow-3: #0000001a;
+  --color-shadow-shadow-4: #0000001f;
   --color-shadow-shadow-5: #00000029;
   --color-shadow-shadow-6: #00000033;
-  --color-shadow-shadow-7: #0000003D;
+  --color-shadow-shadow-7: #0000003d;
   --color-shadow-shadow-8: #00000047;
-  --color-shadow-shadow-9: #0000005C;
+  --color-shadow-shadow-9: #0000005c;
   --color-shadow-shadow-2: #00000014;
   --color-shadow-shadow-10: #00000066;
 
-  --color-workflow-block-border: #FFFFFF14;
-  --color-workflow-block-parma-bg: #FFFFFF0D;
-  --color-workflow-block-bg: #27272B;
-  --color-workflow-block-bg-transparent: #27272BF5;
-  --color-workflow-block-border-highlight: #C8CEDA33;
+  --color-workflow-block-border: #ffffff14;
+  --color-workflow-block-parma-bg: #ffffff0d;
+  --color-workflow-block-bg: #27272b;
+  --color-workflow-block-bg-transparent: #27272bf5;
+  --color-workflow-block-border-highlight: #c8ceda33;
 
-  --color-workflow-canvas-workflow-dot-color: #8585AD26;
-  --color-workflow-canvas-workflow-bg: #1D1D20;
+  --color-workflow-canvas-workflow-dot-color: #8585ad1c;
+  --color-workflow-canvas-workflow-bg: #1d1d20;
 
-  --color-workflow-link-line-active: #5289FF;
-  --color-workflow-link-line-normal: #676F83;
-  --color-workflow-link-line-handle: #5289FF;
-  --color-workflow-link-line-normal-transparent: #676F8333;
-  --color-workflow-link-line-failure-active: #FDB022;
-  --color-workflow-link-line-failure-handle: #FDB022;
-  --color-workflow-link-line-failure-button-bg: #F79009;
-  --color-workflow-link-line-failure-button-hover: #DC6803;
+  --color-workflow-link-line-active: #5289ff;
+  --color-workflow-link-line-normal: #676f83;
+  --color-workflow-link-line-handle: #5289ff;
+  --color-workflow-link-line-normal-transparent: #676f8333;
+  --color-workflow-link-line-failure-active: #fdb022;
+  --color-workflow-link-line-failure-handle: #fdb022;
+  --color-workflow-link-line-failure-button-bg: #f79009;
+  --color-workflow-link-line-failure-button-hover: #dc6803;
 
-  --color-workflow-link-line-success-active: #47CD89;
-  --color-workflow-link-line-success-handle: #47CD89;
+  --color-workflow-link-line-success-active: #47cd89;
+  --color-workflow-link-line-success-handle: #47cd89;
 
-  --color-workflow-link-line-error-active: #F97066;
-  --color-workflow-link-line-error-handle: #F97066;
+  --color-workflow-link-line-error-active: #f97066;
+  --color-workflow-link-line-error-handle: #f97066;
 
-  --color-workflow-minimap-bg: #27272B;
-  --color-workflow-minimap-block: #C8CEDA14;
+  --color-workflow-minimap-bg: #27272b;
+  --color-workflow-minimap-block: #c8ceda14;
 
-  --color-workflow-display-success-bg: #17B26A33;
-  --color-workflow-display-success-border-1: #17B26AE5;
-  --color-workflow-display-success-border-2: #17B26ACC;
-  --color-workflow-display-success-vignette-color: #17B26A40;
-  --color-workflow-display-success-bg-line-pattern: #18181BCC;
+  --color-workflow-display-success-bg: #17b26a33;
+  --color-workflow-display-success-border-1: #17b26ae6;
+  --color-workflow-display-success-border-2: #17b26acc;
+  --color-workflow-display-success-vignette-color: #17b26a40;
+  --color-workflow-display-success-bg-line-pattern: #18181bcc;
 
-  --color-workflow-display-glass-1: #FFFFFF08;
-  --color-workflow-display-glass-2: #FFFFFF0D;
+  --color-workflow-display-glass-1: #ffffff08;
+  --color-workflow-display-glass-2: #ffffff0d;
   --color-workflow-display-vignette-dark: #00000066;
-  --color-workflow-display-highlight: #FFFFFF1F;
-  --color-workflow-display-outline: #18181BF2;
-  --color-workflow-display-error-bg: #F0443833;
-  --color-workflow-display-error-bg-line-pattern: #18181BCC;
-  --color-workflow-display-error-border-1: #F04438E5;
-  --color-workflow-display-error-border-2: #F04438CC;
-  --color-workflow-display-error-vignette-color: #F0443840;
+  --color-workflow-display-highlight: #ffffff1f;
+  --color-workflow-display-outline: #18181bf2;
+  --color-workflow-display-error-bg: #f0443833;
+  --color-workflow-display-error-bg-line-pattern: #18181bcc;
+  --color-workflow-display-error-border-1: #f04438e6;
+  --color-workflow-display-error-border-2: #f04438cc;
+  --color-workflow-display-error-vignette-color: #f0443840;
 
-  --color-workflow-display-warning-bg: #F7900933;
-  --color-workflow-display-warning-bg-line-pattern: #18181BCC;
-  --color-workflow-display-warning-border-1: #F79009E5;
-  --color-workflow-display-warning-border-2: #F79009CC;
-  --color-workflow-display-warning-vignette-color: #F7900940;
+  --color-workflow-display-warning-bg: #f7900933;
+  --color-workflow-display-warning-bg-line-pattern: #18181bcc;
+  --color-workflow-display-warning-border-1: #f79009e6;
+  --color-workflow-display-warning-border-2: #f79009cc;
+  --color-workflow-display-warning-vignette-color: #f7900940;
 
-  --color-workflow-display-normal-bg: #0BA5EC33;
-  --color-workflow-display-normal-bg-line-pattern: #18181BCC;
-  --color-workflow-display-normal-border-1: #0BA5ECE5;
-  --color-workflow-display-normal-border-2: #0BA5ECCC;
-  --color-workflow-display-normal-vignette-color: #0BA5EC40;
+  --color-workflow-display-normal-bg: #0ba5ec33;
+  --color-workflow-display-normal-bg-line-pattern: #18181bcc;
+  --color-workflow-display-normal-border-1: #0ba5ece6;
+  --color-workflow-display-normal-border-2: #0ba5eccc;
+  --color-workflow-display-normal-vignette-color: #0ba5ec40;
 
-  --color-workflow-display-disabled-bg: #C8CEDA33;
-  --color-workflow-display-disabled-bg-line-pattern: #18181BCC;
-  --color-workflow-display-disabled-border-1: #C8CEDA99;
-  --color-workflow-display-disabled-border-2: #C8CEDA40;
-  --color-workflow-display-disabled-vignette-color: #C8CEDA40;
-  --color-workflow-display-disabled-outline: #18181BF2;
+  --color-workflow-display-disabled-bg: #c8ceda33;
+  --color-workflow-display-disabled-bg-line-pattern: #18181bcc;
+  --color-workflow-display-disabled-border-1: #c8ceda99;
+  --color-workflow-display-disabled-border-2: #c8ceda40;
+  --color-workflow-display-disabled-vignette-color: #c8ceda40;
+  --color-workflow-display-disabled-outline: #18181bf2;
 
-  --color-workflow-workflow-progress-bg-1: #18181B40;
-  --color-workflow-workflow-progress-bg-2: #18181B0A;
+  --color-workflow-workflow-progress-bg-1: #18181b40;
+  --color-workflow-workflow-progress-bg-2: #18181b0a;
 
-  --color-divider-subtle: #C8CEDA14;
-  --color-divider-regular: #C8CEDA24;
-  --color-divider-deep: #C8CEDA33;
-  --color-divider-burn: #18181BF2;
-  --color-divider-intense: #C8CEDA66;
-  --color-divider-solid: #3A3A40;
+  --color-divider-subtle: #c8ceda14;
+  --color-divider-regular: #c8ceda24;
+  --color-divider-deep: #c8ceda33;
+  --color-divider-burn: #18181bf2;
+  --color-divider-intense: #c8ceda66;
+  --color-divider-solid: #3a3a40;
   --color-divider-solid-alt: #747481;
 
-  --color-state-base-hover: #C8CEDA14;
-  --color-state-base-active: #C8CEDA33;
-  --color-state-base-hover-alt: #C8CEDA24;
-  --color-state-base-handle: #C8CEDA4D;
-  --color-state-base-handle-hover: #C8CEDA80;
+  --color-state-base-hover: #c8ceda14;
+  --color-state-base-active: #c8ceda33;
+  --color-state-base-hover-alt: #c8ceda24;
+  --color-state-base-handle: #c8ceda4d;
+  --color-state-base-handle-hover: #c8ceda80;
+  --color-state-base-hover-subtle: #c8ceda0a;
 
-  --color-state-accent-hover: #155AEF24;
-  --color-state-accent-active: #155AEF24;
-  --color-state-accent-hover-alt: #155AEF40;
-  --color-state-accent-solid: #5289FF;
-  --color-state-accent-active-alt: #155AEF33;
+  --color-state-accent-hover: #155aef24;
+  --color-state-accent-active: #155aef24;
+  --color-state-accent-hover-alt: #155aef40;
+  --color-state-accent-solid: #5289ff;
+  --color-state-accent-active-alt: #155aef33;
 
-  --color-state-destructive-hover: #F0443824;
-  --color-state-destructive-hover-alt: #F0443840;
-  --color-state-destructive-active: #F044384D;
-  --color-state-destructive-solid: #F97066;
-  --color-state-destructive-border: #F97066;
+  --color-state-destructive-hover: #f0443824;
+  --color-state-destructive-hover-alt: #f0443840;
+  --color-state-destructive-active: #f044384d;
+  --color-state-destructive-solid: #f97066;
+  --color-state-destructive-border: #f97066;
 
-  --color-state-success-hover: #17B26A24;
-  --color-state-success-hover-alt: #17B26A40;
-  --color-state-success-active: #17B26A4D;
-  --color-state-success-solid: #47CD89;
+  --color-state-success-hover: #17b26a24;
+  --color-state-success-hover-alt: #17b26a40;
+  --color-state-success-active: #17b26a4d;
+  --color-state-success-solid: #47cd89;
 
-  --color-state-warning-hover: #F7900924;
-  --color-state-warning-hover-alt: #F7900940;
-  --color-state-warning-active: #F790094D;
-  --color-state-warning-solid: #F79009;
+  --color-state-warning-hover: #f7900924;
+  --color-state-warning-hover-alt: #f7900940;
+  --color-state-warning-active: #f790094d;
+  --color-state-warning-solid: #f79009;
 
-  --color-effects-highlight: #C8CEDA14;
-  --color-effects-highlight-lightmode-off: #C8CEDA14;
-  --color-effects-image-frame: #FFFFFF;
+  --color-effects-highlight: #c8ceda14;
+  --color-effects-highlight-lightmode-off: #c8ceda14;
+  --color-effects-image-frame: #ffffff;
 
-  --color-util-colors-orange-dark-orange-dark-50: #57130A;
-  --color-util-colors-orange-dark-orange-dark-100: #771A0D;
-  --color-util-colors-orange-dark-orange-dark-200: #97180C;
-  --color-util-colors-orange-dark-orange-dark-300: #BC1B06;
-  --color-util-colors-orange-dark-orange-dark-400: #E62E05;
-  --color-util-colors-orange-dark-orange-dark-500: #FF4405;
-  --color-util-colors-orange-dark-orange-dark-600: #FF692E;
-  --color-util-colors-orange-dark-orange-dark-700: #FF9C66;
+  --color-util-colors-orange-dark-orange-dark-50: #57130a;
+  --color-util-colors-orange-dark-orange-dark-100: #771a0d;
+  --color-util-colors-orange-dark-orange-dark-200: #97180c;
+  --color-util-colors-orange-dark-orange-dark-300: #bc1b06;
+  --color-util-colors-orange-dark-orange-dark-400: #e62e05;
+  --color-util-colors-orange-dark-orange-dark-500: #ff4405;
+  --color-util-colors-orange-dark-orange-dark-600: #ff692e;
+  --color-util-colors-orange-dark-orange-dark-700: #ff9c66;
 
-  --color-util-colors-orange-orange-50: #511C10;
+  --color-util-colors-orange-orange-50: #511c10;
   --color-util-colors-orange-orange-100: #772917;
-  --color-util-colors-orange-orange-200: #932F19;
-  --color-util-colors-orange-orange-300: #B93815;
-  --color-util-colors-orange-orange-400: #E04F16;
-  --color-util-colors-orange-orange-500: #EF6820;
-  --color-util-colors-orange-orange-600: #F38744;
-  --color-util-colors-orange-orange-700: #F7B27A;
+  --color-util-colors-orange-orange-200: #932f19;
+  --color-util-colors-orange-orange-300: #b93815;
+  --color-util-colors-orange-orange-400: #e04f16;
+  --color-util-colors-orange-orange-500: #ef6820;
+  --color-util-colors-orange-orange-600: #f38744;
+  --color-util-colors-orange-orange-700: #f7b27a;
   --color-util-colors-orange-orange-100-transparent: #77291700;
 
-  --color-util-colors-pink-pink-50: #4E0D30;
+  --color-util-colors-pink-pink-50: #4e0d30;
   --color-util-colors-pink-pink-100: #851651;
-  --color-util-colors-pink-pink-200: #9E165F;
-  --color-util-colors-pink-pink-300: #C11574;
-  --color-util-colors-pink-pink-400: #DD2590;
-  --color-util-colors-pink-pink-500: #EE46BC;
-  --color-util-colors-pink-pink-600: #F670C7;
-  --color-util-colors-pink-pink-700: #FAA7E0;
+  --color-util-colors-pink-pink-200: #9e165f;
+  --color-util-colors-pink-pink-300: #c11574;
+  --color-util-colors-pink-pink-400: #dd2590;
+  --color-util-colors-pink-pink-500: #ee46bc;
+  --color-util-colors-pink-pink-600: #f670c7;
+  --color-util-colors-pink-pink-700: #faa7e0;
 
-  --color-util-colors-fuchsia-fuchsia-50: #47104C;
-  --color-util-colors-fuchsia-fuchsia-100: #6F1877;
+  --color-util-colors-fuchsia-fuchsia-50: #47104c;
+  --color-util-colors-fuchsia-fuchsia-100: #6f1877;
   --color-util-colors-fuchsia-fuchsia-200: #821890;
-  --color-util-colors-fuchsia-fuchsia-300: #9F1AB1;
-  --color-util-colors-fuchsia-fuchsia-400: #BA24D5;
-  --color-util-colors-fuchsia-fuchsia-500: #D444F1;
-  --color-util-colors-fuchsia-fuchsia-600: #E478FA;
-  --color-util-colors-fuchsia-fuchsia-700: #EEAAFD;
+  --color-util-colors-fuchsia-fuchsia-300: #9f1ab1;
+  --color-util-colors-fuchsia-fuchsia-400: #ba24d5;
+  --color-util-colors-fuchsia-fuchsia-500: #d444f1;
+  --color-util-colors-fuchsia-fuchsia-600: #e478fa;
+  --color-util-colors-fuchsia-fuchsia-700: #eeaafd;
 
-  --color-util-colors-purple-purple-50: #27115F;
-  --color-util-colors-purple-purple-100: #3E1C96;
-  --color-util-colors-purple-purple-200: #4A1FB8;
-  --color-util-colors-purple-purple-300: #5925DC;
-  --color-util-colors-purple-purple-400: #6938EF;
-  --color-util-colors-purple-purple-500: #7A5AF8;
-  --color-util-colors-purple-purple-600: #9B8AFB;
-  --color-util-colors-purple-purple-700: #BDB4FE;
+  --color-util-colors-purple-purple-50: #27115f;
+  --color-util-colors-purple-purple-100: #3e1c96;
+  --color-util-colors-purple-purple-200: #4a1fb8;
+  --color-util-colors-purple-purple-300: #5925dc;
+  --color-util-colors-purple-purple-400: #6938ef;
+  --color-util-colors-purple-purple-500: #7a5af8;
+  --color-util-colors-purple-purple-600: #9b8afb;
+  --color-util-colors-purple-purple-700: #bdb4fe;
 
-  --color-util-colors-indigo-indigo-50: #1F235B;
-  --color-util-colors-indigo-indigo-100: #2D3282;
-  --color-util-colors-indigo-indigo-200: #2D31A6;
-  --color-util-colors-indigo-indigo-300: #3538CD;
-  --color-util-colors-indigo-indigo-400: #444CE7;
-  --color-util-colors-indigo-indigo-500: #6172F3;
-  --color-util-colors-indigo-indigo-600: #8098F9;
-  --color-util-colors-indigo-indigo-700: #A4BCFD;
+  --color-util-colors-indigo-indigo-50: #1f235b;
+  --color-util-colors-indigo-indigo-100: #2d3282;
+  --color-util-colors-indigo-indigo-200: #2d31a6;
+  --color-util-colors-indigo-indigo-300: #3538cd;
+  --color-util-colors-indigo-indigo-400: #444ce7;
+  --color-util-colors-indigo-indigo-500: #6172f3;
+  --color-util-colors-indigo-indigo-600: #8098f9;
+  --color-util-colors-indigo-indigo-700: #a4bcfd;
 
-  --color-util-colors-blue-blue-50: #102A56;
+  --color-util-colors-blue-blue-50: #102a56;
   --color-util-colors-blue-blue-100: #194185;
-  --color-util-colors-blue-blue-200: #1849A9;
-  --color-util-colors-blue-blue-300: #175CD3;
-  --color-util-colors-blue-blue-400: #1570EF;
-  --color-util-colors-blue-blue-500: #2E90FA;
-  --color-util-colors-blue-blue-600: #53B1FD;
-  --color-util-colors-blue-blue-700: #84CAFF;
+  --color-util-colors-blue-blue-200: #1849a9;
+  --color-util-colors-blue-blue-300: #175cd3;
+  --color-util-colors-blue-blue-400: #1570ef;
+  --color-util-colors-blue-blue-500: #2e90fa;
+  --color-util-colors-blue-blue-600: #53b1fd;
+  --color-util-colors-blue-blue-700: #84caff;
 
-  --color-util-colors-blue-light-blue-light-50: #062C41;
-  --color-util-colors-blue-light-blue-light-100: #0B4A6F;
+  --color-util-colors-blue-light-blue-light-50: #062c41;
+  --color-util-colors-blue-light-blue-light-100: #0b4a6f;
   --color-util-colors-blue-light-blue-light-200: #065986;
-  --color-util-colors-blue-light-blue-light-300: #026AA2;
-  --color-util-colors-blue-light-blue-light-400: #0086C9;
-  --color-util-colors-blue-light-blue-light-500: #0BA5EC;
-  --color-util-colors-blue-light-blue-light-600: #36BFFA;
-  --color-util-colors-blue-light-blue-light-700: #7CD4FD;
+  --color-util-colors-blue-light-blue-light-300: #026aa2;
+  --color-util-colors-blue-light-blue-light-400: #0086c9;
+  --color-util-colors-blue-light-blue-light-500: #0ba5ec;
+  --color-util-colors-blue-light-blue-light-600: #36bffa;
+  --color-util-colors-blue-light-blue-light-700: #7cd4fd;
 
-  --color-util-colors-gray-blue-gray-blue-50: #0D0F1C;
+  --color-util-colors-gray-blue-gray-blue-50: #0d0f1c;
   --color-util-colors-gray-blue-gray-blue-100: #101323;
   --color-util-colors-gray-blue-gray-blue-200: #293056;
-  --color-util-colors-gray-blue-gray-blue-300: #363F72;
-  --color-util-colors-gray-blue-gray-blue-400: #3E4784;
-  --color-util-colors-gray-blue-gray-blue-500: #4E5BA6;
-  --color-util-colors-gray-blue-gray-blue-600: #717BBC;
-  --color-util-colors-gray-blue-gray-blue-700: #B3B8DB;
+  --color-util-colors-gray-blue-gray-blue-300: #363f72;
+  --color-util-colors-gray-blue-gray-blue-400: #3e4784;
+  --color-util-colors-gray-blue-gray-blue-500: #4e5ba6;
+  --color-util-colors-gray-blue-gray-blue-600: #717bbc;
+  --color-util-colors-gray-blue-gray-blue-700: #b3b8db;
 
   --color-util-colors-blue-brand-blue-brand-50: #002066;
-  --color-util-colors-blue-brand-blue-brand-100: #00329E;
-  --color-util-colors-blue-brand-blue-brand-200: #003DC1;
-  --color-util-colors-blue-brand-blue-brand-300: #004AEB;
-  --color-util-colors-blue-brand-blue-brand-400: #155AEF;
-  --color-util-colors-blue-brand-blue-brand-500: #296DFF;
-  --color-util-colors-blue-brand-blue-brand-600: #5289FF;
-  --color-util-colors-blue-brand-blue-brand-700: #84ABFF;
+  --color-util-colors-blue-brand-blue-brand-100: #00329e;
+  --color-util-colors-blue-brand-blue-brand-200: #003dc1;
+  --color-util-colors-blue-brand-blue-brand-300: #004aeb;
+  --color-util-colors-blue-brand-blue-brand-400: #155aef;
+  --color-util-colors-blue-brand-blue-brand-500: #296dff;
+  --color-util-colors-blue-brand-blue-brand-600: #5289ff;
+  --color-util-colors-blue-brand-blue-brand-700: #84abff;
 
-  --color-util-colors-red-red-50: #55160C;
-  --color-util-colors-red-red-100: #7A271A;
+  --color-util-colors-red-red-50: #55160c;
+  --color-util-colors-red-red-100: #7a271a;
   --color-util-colors-red-red-200: #912018;
-  --color-util-colors-red-red-300: #B42318;
-  --color-util-colors-red-red-400: #D92D20;
-  --color-util-colors-red-red-500: #F04438;
-  --color-util-colors-red-red-600: #F97066;
-  --color-util-colors-red-red-700: #FDA29B;
+  --color-util-colors-red-red-300: #b42318;
+  --color-util-colors-red-red-400: #d92d20;
+  --color-util-colors-red-red-500: #f04438;
+  --color-util-colors-red-red-600: #f97066;
+  --color-util-colors-red-red-700: #fda29b;
 
   --color-util-colors-green-green-50: #053321;
-  --color-util-colors-green-green-100: #074D31;
-  --color-util-colors-green-green-200: #085D3A;
+  --color-util-colors-green-green-100: #074d31;
+  --color-util-colors-green-green-200: #085d3a;
   --color-util-colors-green-green-300: #067647;
   --color-util-colors-green-green-400: #079455;
-  --color-util-colors-green-green-500: #17B26A;
-  --color-util-colors-green-green-600: #47CD89;
-  --color-util-colors-green-green-700: #75E0A7;
+  --color-util-colors-green-green-500: #17b26a;
+  --color-util-colors-green-green-600: #47cd89;
+  --color-util-colors-green-green-700: #75e0a7;
 
-  --color-util-colors-warning-warning-50: #4E1D09;
-  --color-util-colors-warning-warning-100: #7A2E0E;
-  --color-util-colors-warning-warning-200: #93370D;
-  --color-util-colors-warning-warning-300: #B54708;
-  --color-util-colors-warning-warning-400: #DC6803;
-  --color-util-colors-warning-warning-500: #F79009;
-  --color-util-colors-warning-warning-600: #FDB022;
-  --color-util-colors-warning-warning-700: #FEC84B;
+  --color-util-colors-warning-warning-50: #4e1d09;
+  --color-util-colors-warning-warning-100: #7a2e0e;
+  --color-util-colors-warning-warning-200: #93370d;
+  --color-util-colors-warning-warning-300: #b54708;
+  --color-util-colors-warning-warning-400: #dc6803;
+  --color-util-colors-warning-warning-500: #f79009;
+  --color-util-colors-warning-warning-600: #fdb022;
+  --color-util-colors-warning-warning-700: #fec84b;
 
-  --color-util-colors-yellow-yellow-50: #542C0D;
-  --color-util-colors-yellow-yellow-100: #713B12;
-  --color-util-colors-yellow-yellow-200: #854A0E;
-  --color-util-colors-yellow-yellow-300: #A15C07;
-  --color-util-colors-yellow-yellow-400: #CA8504;
-  --color-util-colors-yellow-yellow-500: #EAAA08;
-  --color-util-colors-yellow-yellow-600: #FAC515;
-  --color-util-colors-yellow-yellow-700: #FDE272;
+  --color-util-colors-yellow-yellow-50: #542c0d;
+  --color-util-colors-yellow-yellow-100: #713b12;
+  --color-util-colors-yellow-yellow-200: #854a0e;
+  --color-util-colors-yellow-yellow-300: #a15c07;
+  --color-util-colors-yellow-yellow-400: #ca8504;
+  --color-util-colors-yellow-yellow-500: #eaaa08;
+  --color-util-colors-yellow-yellow-600: #fac515;
+  --color-util-colors-yellow-yellow-700: #fde272;
 
-  --color-util-colors-teal-teal-50: #0A2926;
-  --color-util-colors-teal-teal-100: #134E48;
-  --color-util-colors-teal-teal-200: #125D56;
+  --color-util-colors-teal-teal-50: #0a2926;
+  --color-util-colors-teal-teal-100: #134e48;
+  --color-util-colors-teal-teal-200: #125d56;
   --color-util-colors-teal-teal-300: #107569;
-  --color-util-colors-teal-teal-400: #0E9384;
-  --color-util-colors-teal-teal-500: #15B79E;
-  --color-util-colors-teal-teal-600: #2ED3B7;
-  --color-util-colors-teal-teal-700: #5FE9D0;
+  --color-util-colors-teal-teal-400: #0e9384;
+  --color-util-colors-teal-teal-500: #15b79e;
+  --color-util-colors-teal-teal-600: #2ed3b7;
+  --color-util-colors-teal-teal-700: #5fe9d0;
 
-  --color-util-colors-cyan-cyan-50: #0D2D3A;
-  --color-util-colors-cyan-cyan-100: #164C63;
-  --color-util-colors-cyan-cyan-200: #155B75;
-  --color-util-colors-cyan-cyan-300: #0E7090;
-  --color-util-colors-cyan-cyan-400: #088AB2;
-  --color-util-colors-cyan-cyan-500: #06AED4;
-  --color-util-colors-cyan-cyan-600: #22CCEE;
-  --color-util-colors-cyan-cyan-700: #67E3F9;
+  --color-util-colors-cyan-cyan-50: #0d2d3a;
+  --color-util-colors-cyan-cyan-100: #164c63;
+  --color-util-colors-cyan-cyan-200: #155b75;
+  --color-util-colors-cyan-cyan-300: #0e7090;
+  --color-util-colors-cyan-cyan-400: #088ab2;
+  --color-util-colors-cyan-cyan-500: #06aed4;
+  --color-util-colors-cyan-cyan-600: #22ccee;
+  --color-util-colors-cyan-cyan-700: #67e3f9;
 
-  --color-util-colors-violet-violet-50: #2E125E;
-  --color-util-colors-violet-violet-100: #491C96;
-  --color-util-colors-violet-violet-200: #5720B7;
-  --color-util-colors-violet-violet-300: #6927DA;
-  --color-util-colors-violet-violet-400: #7839EE;
-  --color-util-colors-violet-violet-500: #875BF7;
-  --color-util-colors-violet-violet-600: #A48AFB;
-  --color-util-colors-violet-violet-700: #C3B5FD;
+  --color-util-colors-violet-violet-50: #2e125e;
+  --color-util-colors-violet-violet-100: #491c96;
+  --color-util-colors-violet-violet-200: #5720b7;
+  --color-util-colors-violet-violet-300: #6927da;
+  --color-util-colors-violet-violet-400: #7839ee;
+  --color-util-colors-violet-violet-500: #875bf7;
+  --color-util-colors-violet-violet-600: #a48afb;
+  --color-util-colors-violet-violet-700: #c3b5fd;
 
-  --color-util-colors-gray-gray-50: #0C111C;
+  --color-util-colors-gray-gray-50: #0c111c;
   --color-util-colors-gray-gray-100: #101828;
-  --color-util-colors-gray-gray-200: #18222F;
+  --color-util-colors-gray-gray-200: #18222f;
   --color-util-colors-gray-gray-300: #354052;
   --color-util-colors-gray-gray-400: #495464;
-  --color-util-colors-gray-gray-500: #676F83;
-  --color-util-colors-gray-gray-600: #98A2B2;
-  --color-util-colors-gray-gray-700: #D0D5DC;
+  --color-util-colors-gray-gray-500: #676f83;
+  --color-util-colors-gray-gray-600: #98a2b2;
+  --color-util-colors-gray-gray-700: #d0d5dc;
 
-  --color-util-colors-green-light-green-light-50: #15290A;
-  --color-util-colors-green-light-green-light-100: #2B5314;
+  --color-util-colors-green-light-green-light-50: #15290a;
+  --color-util-colors-green-light-green-light-100: #2b5314;
   --color-util-colors-green-light-green-light-200: #326212;
-  --color-util-colors-green-light-green-light-300: #3B7C0F;
-  --color-util-colors-green-light-green-light-500: #66C61C;
-  --color-util-colors-green-light-green-light-400: #4CA30D;
-  --color-util-colors-green-light-green-light-600: #85E13A;
-  --color-util-colors-green-light-green-light-700: #A6EF67;
+  --color-util-colors-green-light-green-light-300: #3b7c0f;
+  --color-util-colors-green-light-green-light-500: #66c61c;
+  --color-util-colors-green-light-green-light-400: #4ca30d;
+  --color-util-colors-green-light-green-light-600: #85e13a;
+  --color-util-colors-green-light-green-light-700: #a6ef67;
 
-  --color-util-colors-rose-rose-50: #510B24;
-  --color-util-colors-rose-rose-100: #89123E;
-  --color-util-colors-rose-rose-200: #A11043;
-  --color-util-colors-rose-rose-300: #C01048;
-  --color-util-colors-rose-rose-400: #E31B54;
-  --color-util-colors-rose-rose-500: #F63D68;
-  --color-util-colors-rose-rose-600: #FD6F8E;
-  --color-util-colors-rose-rose-700: #FEA3B4;
+  --color-util-colors-rose-rose-50: #510b24;
+  --color-util-colors-rose-rose-100: #89123e;
+  --color-util-colors-rose-rose-200: #a11043;
+  --color-util-colors-rose-rose-300: #c01048;
+  --color-util-colors-rose-rose-400: #e31b54;
+  --color-util-colors-rose-rose-500: #f63d68;
+  --color-util-colors-rose-rose-600: #fd6f8e;
+  --color-util-colors-rose-rose-700: #fea3b4;
 
-  --color-util-colors-midnight-midnight-50: #171C22;
+  --color-util-colors-midnight-midnight-50: #171c22;
   --color-util-colors-midnight-midnight-100: #202431;
-  --color-util-colors-midnight-midnight-200: #2F3648;
-  --color-util-colors-midnight-midnight-300: #3E465E;
-  --color-util-colors-midnight-midnight-400: #5D698D;
-  --color-util-colors-midnight-midnight-500: #828DAD;
-  --color-util-colors-midnight-midnight-600: #A7AEC5;
-  --color-util-colors-midnight-midnight-700: #C6CBD9;
+  --color-util-colors-midnight-midnight-200: #2f3648;
+  --color-util-colors-midnight-midnight-300: #3e465e;
+  --color-util-colors-midnight-midnight-400: #5d698d;
+  --color-util-colors-midnight-midnight-500: #828dad;
+  --color-util-colors-midnight-midnight-600: #a7aec5;
+  --color-util-colors-midnight-midnight-700: #c6cbd9;
 
-  --color-third-party-LangChain: #FFFFFF;
-  --color-third-party-Langfuse: #FFFFFF;
-  --color-third-party-Github: #FFFFFF;
-  --color-third-party-Github-tertiary: #C8CEDA99;
-  --color-third-party-Github-secondary: #D9D9DE;
+  --color-third-party-LangChain: #ffffff;
+  --color-third-party-Langfuse: #ffffff;
+  --color-third-party-Github: #ffffff;
+  --color-third-party-Github-tertiary: #c8ceda99;
+  --color-third-party-Github-secondary: #d9d9de;
   --color-third-party-model-bg-openai: #121212;
-  --color-third-party-model-bg-anthropic: #1D1917;
-  --color-third-party-model-bg-default: #0B0B0E;
+  --color-third-party-model-bg-anthropic: #1d1917;
+  --color-third-party-model-bg-default: #0b0b0e;
 
-  --color-third-party-aws: #141F2E;
+  --color-third-party-aws: #141f2e;
   --color-third-party-aws-alt: #192639;
 
-  --color-saas-background: #0B0B0E;
-  --color-saas-pricing-grid-bg: #C8CEDA33;
+  --color-saas-background: #0b0b0e;
+  --color-saas-pricing-grid-bg: #c8ceda33;
 
 }
\ No newline at end of file
diff --git a/web/themes/light.css b/web/themes/light.css
index 6fb2a6b00c..9c0952433d 100644
--- a/web/themes/light.css
+++ b/web/themes/light.css
@@ -1,737 +1,739 @@
 /* Attention: Generate by code. Don't update by hand!!! */
 html[data-theme="light"] {
-  --color-components-input-bg-normal: #C8CEDA40;
-  --color-components-input-text-placeholder: #98A2B2;
-  --color-components-input-bg-hover: #C8CEDA24;
-  --color-components-input-bg-active: #F9FAFB;
-  --color-components-input-border-active: #D0D5DC;
-  --color-components-input-border-destructive: #FDA29B;
+  --color-components-input-bg-normal: #c8ceda40;
+  --color-components-input-text-placeholder: #98a2b2;
+  --color-components-input-bg-hover: #c8ceda24;
+  --color-components-input-bg-active: #f9fafb;
+  --color-components-input-border-active: #d0d5dc;
+  --color-components-input-border-destructive: #fda29b;
   --color-components-input-text-filled: #101828;
-  --color-components-input-bg-destructive: #FFFFFF;
-  --color-components-input-bg-disabled: #C8CEDA24;
-  --color-components-input-text-disabled: #D0D5DC;
-  --color-components-input-text-filled-disabled: #676F83;
-  --color-components-input-border-hover: #D0D5DC;
-  --color-components-input-border-active-prompt-1: #0BA5EC;
-  --color-components-input-border-active-prompt-2: #155AEF;
+  --color-components-input-bg-destructive: #ffffff;
+  --color-components-input-bg-disabled: #c8ceda24;
+  --color-components-input-text-disabled: #d0d5dc;
+  --color-components-input-text-filled-disabled: #676f83;
+  --color-components-input-border-hover: #d0d5dc;
+  --color-components-input-border-active-prompt-1: #0ba5ec;
+  --color-components-input-border-active-prompt-2: #155aef;
 
-  --color-components-kbd-bg-gray: #1018280A;
-  --color-components-kbd-bg-white: #FFFFFF1F;
+  --color-components-kbd-bg-gray: #1018280a;
+  --color-components-kbd-bg-white: #ffffff1f;
 
-  --color-components-tooltip-bg: #FFFFFFF2;
+  --color-components-tooltip-bg: #fffffff2;
 
-  --color-components-button-primary-text: #FFFFFF;
-  --color-components-button-primary-bg: #155AEF;
-  --color-components-button-primary-border: #1018280A;
-  --color-components-button-primary-bg-hover: #004AEB;
+  --color-components-button-primary-text: #ffffff;
+  --color-components-button-primary-bg: #155aef;
+  --color-components-button-primary-border: #1018280a;
+  --color-components-button-primary-bg-hover: #004aeb;
   --color-components-button-primary-border-hover: #10182814;
-  --color-components-button-primary-bg-disabled: #155AEF24;
-  --color-components-button-primary-border-disabled: #FFFFFF00;
-  --color-components-button-primary-text-disabled: #FFFFFF99;
+  --color-components-button-primary-bg-disabled: #155aef24;
+  --color-components-button-primary-border-disabled: #ffffff00;
+  --color-components-button-primary-text-disabled: #ffffff99;
 
   --color-components-button-secondary-text: #354052;
   --color-components-button-secondary-text-disabled: #10182840;
-  --color-components-button-secondary-bg: #FFFFFF;
-  --color-components-button-secondary-bg-hover: #F9FAFB;
-  --color-components-button-secondary-bg-disabled: #F9FAFB;
+  --color-components-button-secondary-bg: #ffffff;
+  --color-components-button-secondary-bg-hover: #f9fafb;
+  --color-components-button-secondary-bg-disabled: #f9fafb;
   --color-components-button-secondary-border: #10182824;
   --color-components-button-secondary-border-hover: #10182833;
-  --color-components-button-secondary-border-disabled: #1018280A;
+  --color-components-button-secondary-border-disabled: #1018280a;
 
   --color-components-button-tertiary-text: #354052;
   --color-components-button-tertiary-text-disabled: #10182840;
-  --color-components-button-tertiary-bg: #F2F4F7;
-  --color-components-button-tertiary-bg-hover: #E9EBF0;
-  --color-components-button-tertiary-bg-disabled: #F9FAFB;
+  --color-components-button-tertiary-bg: #f2f4f7;
+  --color-components-button-tertiary-bg-hover: #e9ebf0;
+  --color-components-button-tertiary-bg-disabled: #f9fafb;
 
   --color-components-button-ghost-text: #354052;
   --color-components-button-ghost-text-disabled: #10182840;
-  --color-components-button-ghost-bg-hover: #C8CEDA33;
+  --color-components-button-ghost-bg-hover: #c8ceda33;
 
-  --color-components-button-destructive-primary-text: #FFFFFF;
-  --color-components-button-destructive-primary-text-disabled: #FFFFFF99;
-  --color-components-button-destructive-primary-bg: #D92D20;
-  --color-components-button-destructive-primary-bg-hover: #B42318;
-  --color-components-button-destructive-primary-bg-disabled: #FEE4E2;
-  --color-components-button-destructive-primary-border: #18181B0A;
-  --color-components-button-destructive-primary-border-hover: #18181B14;
-  --color-components-button-destructive-primary-border-disabled: #FFFFFF00;
+  --color-components-button-destructive-primary-text: #ffffff;
+  --color-components-button-destructive-primary-text-disabled: #ffffff99;
+  --color-components-button-destructive-primary-bg: #d92d20;
+  --color-components-button-destructive-primary-bg-hover: #b42318;
+  --color-components-button-destructive-primary-bg-disabled: #fee4e2;
+  --color-components-button-destructive-primary-border: #18181b0a;
+  --color-components-button-destructive-primary-border-hover: #18181b14;
+  --color-components-button-destructive-primary-border-disabled: #ffffff00;
 
-  --color-components-button-destructive-secondary-text: #D92D20;
-  --color-components-button-destructive-secondary-text-disabled: #F0443833;
-  --color-components-button-destructive-secondary-bg: #FFFFFF;
-  --color-components-button-destructive-secondary-bg-hover: #FEF3F2;
-  --color-components-button-destructive-secondary-bg-disabled: #FEF3F2;
-  --color-components-button-destructive-secondary-border: #18181B14;
-  --color-components-button-destructive-secondary-border-hover: #F0443840;
-  --color-components-button-destructive-secondary-border-disabled: #F044380A;
+  --color-components-button-destructive-secondary-text: #d92d20;
+  --color-components-button-destructive-secondary-text-disabled: #f0443833;
+  --color-components-button-destructive-secondary-bg: #ffffff;
+  --color-components-button-destructive-secondary-bg-hover: #fef3f2;
+  --color-components-button-destructive-secondary-bg-disabled: #fef3f2;
+  --color-components-button-destructive-secondary-border: #18181b14;
+  --color-components-button-destructive-secondary-border-hover: #f0443840;
+  --color-components-button-destructive-secondary-border-disabled: #f044380a;
 
-  --color-components-button-destructive-tertiary-text: #D92D20;
-  --color-components-button-destructive-tertiary-text-disabled: #F0443833;
-  --color-components-button-destructive-tertiary-bg: #FEE4E2;
-  --color-components-button-destructive-tertiary-bg-hover: #FECDCA;
-  --color-components-button-destructive-tertiary-bg-disabled: #F044380A;
+  --color-components-button-destructive-tertiary-text: #d92d20;
+  --color-components-button-destructive-tertiary-text-disabled: #f0443833;
+  --color-components-button-destructive-tertiary-bg: #fee4e2;
+  --color-components-button-destructive-tertiary-bg-hover: #fecdca;
+  --color-components-button-destructive-tertiary-bg-disabled: #f044380a;
 
-  --color-components-button-destructive-ghost-text: #D92D20;
-  --color-components-button-destructive-ghost-text-disabled: #F0443833;
-  --color-components-button-destructive-ghost-bg-hover: #FEE4E2;
+  --color-components-button-destructive-ghost-text: #d92d20;
+  --color-components-button-destructive-ghost-text-disabled: #f0443833;
+  --color-components-button-destructive-ghost-bg-hover: #fee4e2;
 
-  --color-components-button-secondary-accent-text: #155AEF;
-  --color-components-button-secondary-accent-text-disabled: #B2CAFF;
-  --color-components-button-secondary-accent-bg: #FFFFFF;
-  --color-components-button-secondary-accent-bg-hover: #F2F4F7;
-  --color-components-button-secondary-accent-bg-disabled: #F9FAFB;
+  --color-components-button-secondary-accent-text: #155aef;
+  --color-components-button-secondary-accent-text-disabled: #b2caff;
+  --color-components-button-secondary-accent-bg: #ffffff;
+  --color-components-button-secondary-accent-bg-hover: #f2f4f7;
+  --color-components-button-secondary-accent-bg-disabled: #f9fafb;
   --color-components-button-secondary-accent-border: #10182824;
   --color-components-button-secondary-accent-border-hover: #10182824;
-  --color-components-button-secondary-accent-border-disabled: #1018280A;
+  --color-components-button-secondary-accent-border-disabled: #1018280a;
 
-  --color-components-button-indigo-bg: #444CE7;
-  --color-components-button-indigo-bg-hover: #3538CD;
-  --color-components-button-indigo-bg-disabled: #6172F324;
+  --color-components-button-indigo-bg: #444ce7;
+  --color-components-button-indigo-bg-hover: #3538cd;
+  --color-components-button-indigo-bg-disabled: #6172f324;
 
-  --color-components-checkbox-icon: #FFFFFF;
-  --color-components-checkbox-icon-disabled: #FFFFFF80;
-  --color-components-checkbox-bg: #155AEF;
-  --color-components-checkbox-bg-hover: #004AEB;
-  --color-components-checkbox-bg-disabled: #F2F4F7;
-  --color-components-checkbox-border: #D0D5DC;
-  --color-components-checkbox-border-hover: #98A2B2;
-  --color-components-checkbox-border-disabled: #18181B0A;
-  --color-components-checkbox-bg-unchecked: #FFFFFF;
-  --color-components-checkbox-bg-unchecked-hover: #FFFFFF;
-  --color-components-checkbox-bg-disabled-checked: #B2CAFF;
+  --color-components-checkbox-icon: #ffffff;
+  --color-components-checkbox-icon-disabled: #ffffff80;
+  --color-components-checkbox-bg: #155aef;
+  --color-components-checkbox-bg-hover: #004aeb;
+  --color-components-checkbox-bg-disabled: #f2f4f7;
+  --color-components-checkbox-border: #d0d5dc;
+  --color-components-checkbox-border-hover: #98a2b2;
+  --color-components-checkbox-border-disabled: #18181b0a;
+  --color-components-checkbox-bg-unchecked: #ffffff;
+  --color-components-checkbox-bg-unchecked-hover: #ffffff;
+  --color-components-checkbox-bg-disabled-checked: #b2caff;
 
-  --color-components-radio-border-checked: #155AEF;
-  --color-components-radio-border-checked-hover: #004AEB;
-  --color-components-radio-border-checked-disabled: #B2CAFF;
-  --color-components-radio-bg-disabled: #FFFFFF00;
-  --color-components-radio-border: #D0D5DC;
-  --color-components-radio-border-hover: #98A2B2;
-  --color-components-radio-border-disabled: #18181B0A;
-  --color-components-radio-bg: #FFFFFF00;
-  --color-components-radio-bg-hover: #FFFFFF00;
+  --color-components-radio-border-checked: #155aef;
+  --color-components-radio-border-checked-hover: #004aeb;
+  --color-components-radio-border-checked-disabled: #b2caff;
+  --color-components-radio-bg-disabled: #ffffff00;
+  --color-components-radio-border: #d0d5dc;
+  --color-components-radio-border-hover: #98a2b2;
+  --color-components-radio-border-disabled: #18181b0a;
+  --color-components-radio-bg: #ffffff00;
+  --color-components-radio-bg-hover: #ffffff00;
 
-  --color-components-toggle-knob: #FFFFFF;
-  --color-components-toggle-knob-disabled: #FFFFFFF2;
-  --color-components-toggle-bg: #155AEF;
-  --color-components-toggle-bg-hover: #004AEB;
-  --color-components-toggle-bg-disabled: #D1E0FF;
-  --color-components-toggle-bg-unchecked: #E9EBF0;
-  --color-components-toggle-bg-unchecked-hover: #D0D5DC;
-  --color-components-toggle-bg-unchecked-disabled: #F2F4F7;
-  --color-components-toggle-knob-hover: #FFFFFF;
+  --color-components-toggle-knob: #ffffff;
+  --color-components-toggle-knob-disabled: #fffffff2;
+  --color-components-toggle-bg: #155aef;
+  --color-components-toggle-bg-hover: #004aeb;
+  --color-components-toggle-bg-disabled: #d1e0ff;
+  --color-components-toggle-bg-unchecked: #e9ebf0;
+  --color-components-toggle-bg-unchecked-hover: #d0d5dc;
+  --color-components-toggle-bg-unchecked-disabled: #f2f4f7;
+  --color-components-toggle-knob-hover: #ffffff;
 
-  --color-components-card-bg: #FCFCFD;
-  --color-components-card-border: #FFFFFF;
-  --color-components-card-bg-alt: #FFFFFF;
+  --color-components-card-bg: #fcfcfd;
+  --color-components-card-border: #ffffff;
+  --color-components-card-bg-alt: #ffffff;
 
   --color-components-menu-item-text: #495464;
-  --color-components-menu-item-text-active: #18222F;
+  --color-components-menu-item-text-active: #18222f;
   --color-components-menu-item-text-hover: #354052;
-  --color-components-menu-item-text-active-accent: #18222F;
+  --color-components-menu-item-text-active-accent: #18222f;
 
-  --color-components-panel-bg: #FFFFFF;
-  --color-components-panel-bg-blur: #FFFFFFF2;
+  --color-components-panel-bg: #ffffff;
+  --color-components-panel-bg-blur: #fffffff2;
   --color-components-panel-border: #10182814;
   --color-components-panel-border-subtle: #10182814;
-  --color-components-panel-gradient-2: #F9FAFB;
-  --color-components-panel-gradient-1: #FFFFFF;
-  --color-components-panel-bg-alt: #F9FAFB;
-  --color-components-panel-on-panel-item-bg: #FFFFFF;
-  --color-components-panel-on-panel-item-bg-hover: #F9FAFB;
-  --color-components-panel-on-panel-item-bg-alt: #F9FAFB;
-  --color-components-panel-on-panel-item-bg-transparent: #FFFFFFF2;
-  --color-components-panel-on-panel-item-bg-hover-transparent: #F9FAFB00;
-  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #FEF3F200;
+  --color-components-panel-gradient-2: #f9fafb;
+  --color-components-panel-gradient-1: #ffffff;
+  --color-components-panel-bg-alt: #f9fafb;
+  --color-components-panel-on-panel-item-bg: #ffffff;
+  --color-components-panel-on-panel-item-bg-hover: #f9fafb;
+  --color-components-panel-on-panel-item-bg-alt: #f9fafb;
+  --color-components-panel-on-panel-item-bg-transparent: #fffffff2;
+  --color-components-panel-on-panel-item-bg-hover-transparent: #f9fafb00;
+  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #fef3f200;
 
-  --color-components-panel-bg-transparent: #FFFFFF00;
+  --color-components-panel-bg-transparent: #ffffff00;
 
   --color-components-main-nav-nav-button-text: #495464;
-  --color-components-main-nav-nav-button-text-active: #155AEF;
-  --color-components-main-nav-nav-button-bg: #FFFFFF00;
-  --color-components-main-nav-nav-button-bg-active: #FCFCFD;
-  --color-components-main-nav-nav-button-border: #FFFFFFF2;
-  --color-components-main-nav-nav-button-bg-hover: #1018280A;
+  --color-components-main-nav-nav-button-text-active: #155aef;
+  --color-components-main-nav-nav-button-bg: #ffffff00;
+  --color-components-main-nav-nav-button-bg-active: #fcfcfd;
+  --color-components-main-nav-nav-button-border: #fffffff2;
+  --color-components-main-nav-nav-button-bg-hover: #1018280a;
 
-  --color-components-main-nav-nav-user-border: #FFFFFF;
+  --color-components-main-nav-nav-user-border: #ffffff;
 
-  --color-components-slider-knob: #FFFFFF;
-  --color-components-slider-knob-hover: #FFFFFF;
-  --color-components-slider-knob-disabled: #FFFFFFF2;
-  --color-components-slider-range: #296DFF;
-  --color-components-slider-track: #E9EBF0;
+  --color-components-slider-knob: #ffffff;
+  --color-components-slider-knob-hover: #ffffff;
+  --color-components-slider-knob-disabled: #fffffff2;
+  --color-components-slider-range: #296dff;
+  --color-components-slider-track: #e9ebf0;
   --color-components-slider-knob-border-hover: #10182833;
   --color-components-slider-knob-border: #10182824;
 
-  --color-components-segmented-control-item-active-bg: #FFFFFF;
-  --color-components-segmented-control-item-active-border: #FFFFFF;
-  --color-components-segmented-control-bg-normal: #C8CEDA33;
-  --color-components-segmented-control-item-active-accent-bg: #FFFFFF;
-  --color-components-segmented-control-item-active-accent-border: #FFFFFF;
+  --color-components-segmented-control-item-active-bg: #ffffff;
+  --color-components-segmented-control-item-active-border: #ffffff;
+  --color-components-segmented-control-bg-normal: #c8ceda33;
+  --color-components-segmented-control-item-active-accent-bg: #ffffff;
+  --color-components-segmented-control-item-active-accent-border: #ffffff;
 
-  --color-components-option-card-option-bg: #FCFCFD;
-  --color-components-option-card-option-selected-bg: #FFFFFF;
-  --color-components-option-card-option-selected-border: #296DFF;
-  --color-components-option-card-option-border: #E9EBF0;
-  --color-components-option-card-option-bg-hover: #FFFFFF;
-  --color-components-option-card-option-border-hover: #D0D5DC;
+  --color-components-option-card-option-bg: #fcfcfd;
+  --color-components-option-card-option-selected-bg: #ffffff;
+  --color-components-option-card-option-selected-border: #296dff;
+  --color-components-option-card-option-border: #e9ebf0;
+  --color-components-option-card-option-bg-hover: #ffffff;
+  --color-components-option-card-option-border-hover: #d0d5dc;
 
-  --color-components-tab-active: #155AEF;
+  --color-components-tab-active: #155aef;
 
-  --color-components-badge-white-to-dark: #FFFFFF;
-  --color-components-badge-status-light-success-bg: #47CD89;
-  --color-components-badge-status-light-success-border-inner: #17B26A;
-  --color-components-badge-status-light-success-halo: #17B26A40;
+  --color-components-badge-white-to-dark: #ffffff;
+  --color-components-badge-status-light-success-bg: #47cd89;
+  --color-components-badge-status-light-success-border-inner: #17b26a;
+  --color-components-badge-status-light-success-halo: #17b26a40;
 
-  --color-components-badge-status-light-border-outer: #FFFFFF;
-  --color-components-badge-status-light-high-light: #FFFFFF4D;
-  --color-components-badge-status-light-warning-bg: #FDB022;
-  --color-components-badge-status-light-warning-border-inner: #F79009;
-  --color-components-badge-status-light-warning-halo: #F7900940;
+  --color-components-badge-status-light-border-outer: #ffffff;
+  --color-components-badge-status-light-high-light: #ffffff4d;
+  --color-components-badge-status-light-warning-bg: #fdb022;
+  --color-components-badge-status-light-warning-border-inner: #f79009;
+  --color-components-badge-status-light-warning-halo: #f7900940;
 
-  --color-components-badge-status-light-error-bg: #F97066;
-  --color-components-badge-status-light-error-border-inner: #F04438;
-  --color-components-badge-status-light-error-halo: #F0443840;
+  --color-components-badge-status-light-error-bg: #f97066;
+  --color-components-badge-status-light-error-border-inner: #f04438;
+  --color-components-badge-status-light-error-halo: #f0443840;
 
-  --color-components-badge-status-light-normal-bg: #36BFFA;
-  --color-components-badge-status-light-normal-border-inner: #0BA5EC;
-  --color-components-badge-status-light-normal-halo: #0BA5EC40;
+  --color-components-badge-status-light-normal-bg: #36bffa;
+  --color-components-badge-status-light-normal-border-inner: #0ba5ec;
+  --color-components-badge-status-light-normal-halo: #0ba5ec40;
 
-  --color-components-badge-status-light-disabled-bg: #98A2B2;
-  --color-components-badge-status-light-disabled-border-inner: #676F83;
-  --color-components-badge-status-light-disabled-halo: #1018280A;
+  --color-components-badge-status-light-disabled-bg: #98a2b2;
+  --color-components-badge-status-light-disabled-border-inner: #676f83;
+  --color-components-badge-status-light-disabled-halo: #1018280a;
 
-  --color-components-badge-bg-green-soft: #17B26A14;
-  --color-components-badge-bg-orange-soft: #F7900914;
-  --color-components-badge-bg-red-soft: #F0443814;
-  --color-components-badge-bg-blue-light-soft: #0BA5EC14;
-  --color-components-badge-bg-gray-soft: #1018280A;
+  --color-components-badge-bg-green-soft: #17b26a14;
+  --color-components-badge-bg-orange-soft: #f7900914;
+  --color-components-badge-bg-red-soft: #f0443814;
+  --color-components-badge-bg-blue-light-soft: #0ba5ec14;
+  --color-components-badge-bg-gray-soft: #1018280a;
+  --color-components-badge-bg-dimm: #ffffff0d;
 
-  --color-components-chart-line: #296DFF;
-  --color-components-chart-area-1: #155AEF24;
-  --color-components-chart-area-2: #155AEF0A;
-  --color-components-chart-current-1: #155AEF;
-  --color-components-chart-current-2: #D1E0FF;
-  --color-components-chart-bg: #FFFFFF;
+  --color-components-chart-line: #296dff;
+  --color-components-chart-area-1: #155aef24;
+  --color-components-chart-area-2: #155aef0a;
+  --color-components-chart-current-1: #155aef;
+  --color-components-chart-current-2: #d1e0ff;
+  --color-components-chart-bg: #ffffff;
 
-  --color-components-actionbar-bg: #FFFFFFF2;
-  --color-components-actionbar-border: #1018280A;
-  --color-components-actionbar-bg-accent: #F5F7FF;
-  --color-components-actionbar-border-accent: #B2CAFF;
+  --color-components-actionbar-bg: #fffffff2;
+  --color-components-actionbar-border: #1018280a;
+  --color-components-actionbar-bg-accent: #f5f7ff;
+  --color-components-actionbar-border-accent: #b2caff;
 
-  --color-components-dropzone-bg-alt: #F2F4F7;
-  --color-components-dropzone-bg: #F9FAFB;
-  --color-components-dropzone-bg-accent: #155AEF24;
+  --color-components-dropzone-bg-alt: #f2f4f7;
+  --color-components-dropzone-bg: #f9fafb;
+  --color-components-dropzone-bg-accent: #155aef24;
   --color-components-dropzone-border: #10182814;
   --color-components-dropzone-border-alt: #10182833;
-  --color-components-dropzone-border-accent: #84ABFF;
+  --color-components-dropzone-border-accent: #84abff;
 
-  --color-components-progress-brand-progress: #296DFF;
-  --color-components-progress-brand-border: #296DFF;
-  --color-components-progress-brand-bg: #155AEF0A;
+  --color-components-progress-brand-progress: #296dff;
+  --color-components-progress-brand-border: #296dff;
+  --color-components-progress-brand-bg: #155aef0a;
 
-  --color-components-progress-white-progress: #FFFFFF;
-  --color-components-progress-white-border: #FFFFFFF2;
-  --color-components-progress-white-bg: #FFFFFF03;
+  --color-components-progress-white-progress: #ffffff;
+  --color-components-progress-white-border: #fffffff2;
+  --color-components-progress-white-bg: #ffffff03;
 
-  --color-components-progress-gray-progress: #98A2B2;
-  --color-components-progress-gray-border: #98A2B2;
-  --color-components-progress-gray-bg: #C8CEDA05;
+  --color-components-progress-gray-progress: #98a2b2;
+  --color-components-progress-gray-border: #98a2b2;
+  --color-components-progress-gray-bg: #c8ceda05;
 
-  --color-components-progress-warning-progress: #F79009;
-  --color-components-progress-warning-border: #F79009;
-  --color-components-progress-warning-bg: #F790090A;
+  --color-components-progress-warning-progress: #f79009;
+  --color-components-progress-warning-border: #f79009;
+  --color-components-progress-warning-bg: #f790090a;
 
-  --color-components-progress-error-progress: #F04438;
-  --color-components-progress-error-border: #F04438;
-  --color-components-progress-error-bg: #F044380A;
+  --color-components-progress-error-progress: #f04438;
+  --color-components-progress-error-border: #f04438;
+  --color-components-progress-error-bg: #f044380a;
 
-  --color-components-chat-input-audio-bg: #EFF4FF;
-  --color-components-chat-input-audio-wave-default: #155AEF33;
-  --color-components-chat-input-bg-mask-1: #FFFFFF03;
-  --color-components-chat-input-bg-mask-2: #F2F4F7;
-  --color-components-chat-input-border: #FFFFFF;
-  --color-components-chat-input-audio-wave-active: #296DFF;
-  --color-components-chat-input-audio-bg-alt: #FCFCFD;
+  --color-components-chat-input-audio-bg: #eff4ff;
+  --color-components-chat-input-audio-wave-default: #155aef33;
+  --color-components-chat-input-bg-mask-1: #ffffff03;
+  --color-components-chat-input-bg-mask-2: #f2f4f7;
+  --color-components-chat-input-border: #ffffff;
+  --color-components-chat-input-audio-wave-active: #296dff;
+  --color-components-chat-input-audio-bg-alt: #fcfcfd;
 
-  --color-components-avatar-shape-fill-stop-0: #FFFFFF;
-  --color-components-avatar-shape-fill-stop-100: #FFFFFFE5;
+  --color-components-avatar-shape-fill-stop-0: #ffffff;
+  --color-components-avatar-shape-fill-stop-100: #ffffffe6;
 
-  --color-components-avatar-bg-mask-stop-0: #FFFFFF1F;
-  --color-components-avatar-bg-mask-stop-100: #FFFFFF14;
+  --color-components-avatar-bg-mask-stop-0: #ffffff1f;
+  --color-components-avatar-bg-mask-stop-100: #ffffff14;
 
-  --color-components-avatar-default-avatar-bg: #D0D5DC;
-  --color-components-avatar-mask-darkmode-dimmed: #FFFFFF00;
+  --color-components-avatar-default-avatar-bg: #d0d5dc;
+  --color-components-avatar-mask-darkmode-dimmed: #ffffff00;
 
-  --color-components-label-gray: #F2F4F7;
+  --color-components-label-gray: #f2f4f7;
 
-  --color-components-premium-badge-blue-bg-stop-0: #5289FF;
-  --color-components-premium-badge-blue-bg-stop-100: #155AEF;
-  --color-components-premium-badge-blue-stroke-stop-0: #FFFFFFF2;
-  --color-components-premium-badge-blue-stroke-stop-100: #155AEF;
-  --color-components-premium-badge-blue-text-stop-0: #F5F7FF;
-  --color-components-premium-badge-blue-text-stop-100: #D1E0FF;
-  --color-components-premium-badge-blue-glow: #00329E;
-  --color-components-premium-badge-blue-bg-stop-0-hover: #296DFF;
-  --color-components-premium-badge-blue-bg-stop-100-hover: #004AEB;
-  --color-components-premium-badge-blue-glow-hover: #84ABFF;
-  --color-components-premium-badge-blue-stroke-stop-0-hover: #FFFFFFF2;
-  --color-components-premium-badge-blue-stroke-stop-100-hover: #00329E;
+  --color-components-premium-badge-blue-bg-stop-0: #5289ff;
+  --color-components-premium-badge-blue-bg-stop-100: #155aef;
+  --color-components-premium-badge-blue-stroke-stop-0: #fffffff2;
+  --color-components-premium-badge-blue-stroke-stop-100: #155aef;
+  --color-components-premium-badge-blue-text-stop-0: #f5f7ff;
+  --color-components-premium-badge-blue-text-stop-100: #d1e0ff;
+  --color-components-premium-badge-blue-glow: #00329e;
+  --color-components-premium-badge-blue-bg-stop-0-hover: #296dff;
+  --color-components-premium-badge-blue-bg-stop-100-hover: #004aeb;
+  --color-components-premium-badge-blue-glow-hover: #84abff;
+  --color-components-premium-badge-blue-stroke-stop-0-hover: #fffffff2;
+  --color-components-premium-badge-blue-stroke-stop-100-hover: #00329e;
 
-  --color-components-premium-badge-highlight-stop-0: #FFFFFF1F;
-  --color-components-premium-badge-highlight-stop-100: #FFFFFF4D;
-  --color-components-premium-badge-indigo-bg-stop-0: #8098F9;
-  --color-components-premium-badge-indigo-bg-stop-100: #444CE7;
-  --color-components-premium-badge-indigo-stroke-stop-0: #FFFFFFF2;
-  --color-components-premium-badge-indigo-stroke-stop-100: #6172F3;
-  --color-components-premium-badge-indigo-text-stop-0: #F5F8FF;
-  --color-components-premium-badge-indigo-text-stop-100: #E0EAFF;
-  --color-components-premium-badge-indigo-glow: #2D3282;
-  --color-components-premium-badge-indigo-glow-hover: #A4BCFD;
-  --color-components-premium-badge-indigo-bg-stop-0-hover: #6172F3;
-  --color-components-premium-badge-indigo-bg-stop-100-hover: #2D31A6;
-  --color-components-premium-badge-indigo-stroke-stop-0-hover: #FFFFFFF2;
-  --color-components-premium-badge-indigo-stroke-stop-100-hover: #2D31A6;
+  --color-components-premium-badge-highlight-stop-0: #ffffff1f;
+  --color-components-premium-badge-highlight-stop-100: #ffffff4d;
+  --color-components-premium-badge-indigo-bg-stop-0: #8098f9;
+  --color-components-premium-badge-indigo-bg-stop-100: #444ce7;
+  --color-components-premium-badge-indigo-stroke-stop-0: #fffffff2;
+  --color-components-premium-badge-indigo-stroke-stop-100: #6172f3;
+  --color-components-premium-badge-indigo-text-stop-0: #f5f8ff;
+  --color-components-premium-badge-indigo-text-stop-100: #e0eaff;
+  --color-components-premium-badge-indigo-glow: #2d3282;
+  --color-components-premium-badge-indigo-glow-hover: #a4bcfd;
+  --color-components-premium-badge-indigo-bg-stop-0-hover: #6172f3;
+  --color-components-premium-badge-indigo-bg-stop-100-hover: #2d31a6;
+  --color-components-premium-badge-indigo-stroke-stop-0-hover: #fffffff2;
+  --color-components-premium-badge-indigo-stroke-stop-100-hover: #2d31a6;
 
-  --color-components-premium-badge-grey-bg-stop-0: #98A2B2;
-  --color-components-premium-badge-grey-bg-stop-100: #676F83;
-  --color-components-premium-badge-grey-stroke-stop-0: #FFFFFFF2;
-  --color-components-premium-badge-grey-stroke-stop-100: #676F83;
-  --color-components-premium-badge-grey-text-stop-0: #FCFCFD;
-  --color-components-premium-badge-grey-text-stop-100: #F2F4F7;
+  --color-components-premium-badge-grey-bg-stop-0: #98a2b2;
+  --color-components-premium-badge-grey-bg-stop-100: #676f83;
+  --color-components-premium-badge-grey-stroke-stop-0: #fffffff2;
+  --color-components-premium-badge-grey-stroke-stop-100: #676f83;
+  --color-components-premium-badge-grey-text-stop-0: #fcfcfd;
+  --color-components-premium-badge-grey-text-stop-100: #f2f4f7;
   --color-components-premium-badge-grey-glow: #101828;
-  --color-components-premium-badge-grey-glow-hover: #D0D5DC;
-  --color-components-premium-badge-grey-bg-stop-0-hover: #676F83;
+  --color-components-premium-badge-grey-glow-hover: #d0d5dc;
+  --color-components-premium-badge-grey-bg-stop-0-hover: #676f83;
   --color-components-premium-badge-grey-bg-stop-100-hover: #354052;
-  --color-components-premium-badge-grey-stroke-stop-0-hover: #FFFFFFF2;
+  --color-components-premium-badge-grey-stroke-stop-0-hover: #fffffff2;
   --color-components-premium-badge-grey-stroke-stop-100-hover: #354052;
 
-  --color-components-premium-badge-orange-bg-stop-0: #FF692E;
-  --color-components-premium-badge-orange-bg-stop-100: #E04F16;
-  --color-components-premium-badge-orange-stroke-stop-0: #FFFFFFF2;
-  --color-components-premium-badge-orange-stroke-stop-100: #E62E05;
-  --color-components-premium-badge-orange-text-stop-0: #FEFAF5;
-  --color-components-premium-badge-orange-text-stop-100: #FDEAD7;
+  --color-components-premium-badge-orange-bg-stop-0: #ff692e;
+  --color-components-premium-badge-orange-bg-stop-100: #e04f16;
+  --color-components-premium-badge-orange-stroke-stop-0: #fffffff2;
+  --color-components-premium-badge-orange-stroke-stop-100: #e62e05;
+  --color-components-premium-badge-orange-text-stop-0: #fefaf5;
+  --color-components-premium-badge-orange-text-stop-100: #fdead7;
   --color-components-premium-badge-orange-glow: #772917;
-  --color-components-premium-badge-orange-glow-hover: #F7B27A;
-  --color-components-premium-badge-orange-bg-stop-0-hover: #FF4405;
-  --color-components-premium-badge-orange-bg-stop-100-hover: #B93815;
-  --color-components-premium-badge-orange-stroke-stop-0-hover: #FFFFFFF2;
-  --color-components-premium-badge-orange-stroke-stop-100-hover: #BC1B06;
+  --color-components-premium-badge-orange-glow-hover: #f7b27a;
+  --color-components-premium-badge-orange-bg-stop-0-hover: #ff4405;
+  --color-components-premium-badge-orange-bg-stop-100-hover: #b93815;
+  --color-components-premium-badge-orange-stroke-stop-0-hover: #fffffff2;
+  --color-components-premium-badge-orange-stroke-stop-100-hover: #bc1b06;
 
-  --color-components-progress-bar-bg: #155AEF0A;
-  --color-components-progress-bar-progress: #155AEF24;
-  --color-components-progress-bar-border: #1018280A;
-  --color-components-progress-bar-progress-solid: #296DFF;
-  --color-components-progress-bar-progress-highlight: #155AEF33;
+  --color-components-progress-bar-bg: #155aef0a;
+  --color-components-progress-bar-progress: #155aef24;
+  --color-components-progress-bar-border: #1018280a;
+  --color-components-progress-bar-progress-solid: #296dff;
+  --color-components-progress-bar-progress-highlight: #155aef33;
 
-  --color-components-icon-bg-red-solid: #D92D20;
-  --color-components-icon-bg-rose-solid: #E31B54;
-  --color-components-icon-bg-pink-solid: #DD2590;
-  --color-components-icon-bg-orange-dark-solid: #FF4405;
-  --color-components-icon-bg-yellow-solid: #EAAA08;
-  --color-components-icon-bg-green-solid: #4CA30D;
-  --color-components-icon-bg-teal-solid: #0E9384;
-  --color-components-icon-bg-blue-light-solid: #0BA5EC;
-  --color-components-icon-bg-blue-solid: #155AEF;
-  --color-components-icon-bg-indigo-solid: #444CE7;
-  --color-components-icon-bg-violet-solid: #7839EE;
-  --color-components-icon-bg-midnight-solid: #828DAD;
-  --color-components-icon-bg-rose-soft: #FFF1F3;
-  --color-components-icon-bg-pink-soft: #FDF2FA;
-  --color-components-icon-bg-orange-dark-soft: #FFF4ED;
-  --color-components-icon-bg-yellow-soft: #FEFBE8;
-  --color-components-icon-bg-green-soft: #F3FEE7;
-  --color-components-icon-bg-teal-soft: #F0FDF9;
-  --color-components-icon-bg-blue-light-soft: #F0F9FF;
-  --color-components-icon-bg-blue-soft: #EFF4FF;
-  --color-components-icon-bg-indigo-soft: #EEF4FF;
-  --color-components-icon-bg-violet-soft: #F5F3FF;
-  --color-components-icon-bg-midnight-soft: #F0F2F5;
-  --color-components-icon-bg-red-soft: #FEF3F2;
-  --color-components-icon-bg-orange-solid: #F79009;
-  --color-components-icon-bg-orange-soft: #FFFAEB;
+  --color-components-icon-bg-red-solid: #d92d20;
+  --color-components-icon-bg-rose-solid: #e31b54;
+  --color-components-icon-bg-pink-solid: #dd2590;
+  --color-components-icon-bg-orange-dark-solid: #ff4405;
+  --color-components-icon-bg-yellow-solid: #eaaa08;
+  --color-components-icon-bg-green-solid: #4ca30d;
+  --color-components-icon-bg-teal-solid: #0e9384;
+  --color-components-icon-bg-blue-light-solid: #0ba5ec;
+  --color-components-icon-bg-blue-solid: #155aef;
+  --color-components-icon-bg-indigo-solid: #444ce7;
+  --color-components-icon-bg-violet-solid: #7839ee;
+  --color-components-icon-bg-midnight-solid: #828dad;
+  --color-components-icon-bg-rose-soft: #fff1f3;
+  --color-components-icon-bg-pink-soft: #fdf2fa;
+  --color-components-icon-bg-orange-dark-soft: #fff4ed;
+  --color-components-icon-bg-yellow-soft: #fefbe8;
+  --color-components-icon-bg-green-soft: #f3fee7;
+  --color-components-icon-bg-teal-soft: #f0fdf9;
+  --color-components-icon-bg-blue-light-soft: #f0f9ff;
+  --color-components-icon-bg-blue-soft: #eff4ff;
+  --color-components-icon-bg-indigo-soft: #eef4ff;
+  --color-components-icon-bg-violet-soft: #f5f3ff;
+  --color-components-icon-bg-midnight-soft: #f0f2f5;
+  --color-components-icon-bg-red-soft: #fef3f2;
+  --color-components-icon-bg-orange-solid: #f79009;
+  --color-components-icon-bg-orange-soft: #fffaeb;
 
   --color-text-primary: #101828;
   --color-text-secondary: #354052;
-  --color-text-tertiary: #676F83;
-  --color-text-quaternary: #1018284D;
-  --color-text-destructive: #D92D20;
+  --color-text-tertiary: #676f83;
+  --color-text-quaternary: #1018284d;
+  --color-text-destructive: #d92d20;
   --color-text-success: #079455;
-  --color-text-warning: #DC6803;
-  --color-text-destructive-secondary: #F04438;
-  --color-text-success-secondary: #17B26A;
-  --color-text-warning-secondary: #F79009;
-  --color-text-accent: #155AEF;
-  --color-text-primary-on-surface: #FFFFFF;
-  --color-text-placeholder: #98A2B2;
-  --color-text-disabled: #D0D5DC;
-  --color-text-accent-secondary: #296DFF;
-  --color-text-accent-light-mode-only: #155AEF;
-  --color-text-text-selected: #155AEF24;
-  --color-text-secondary-on-surface: #FFFFFFE5;
-  --color-text-logo-text: #18222F;
-  --color-text-empty-state-icon: #D0D5DC;
+  --color-text-warning: #dc6803;
+  --color-text-destructive-secondary: #f04438;
+  --color-text-success-secondary: #17b26a;
+  --color-text-warning-secondary: #f79009;
+  --color-text-accent: #155aef;
+  --color-text-primary-on-surface: #ffffff;
+  --color-text-placeholder: #98a2b2;
+  --color-text-disabled: #d0d5dc;
+  --color-text-accent-secondary: #296dff;
+  --color-text-accent-light-mode-only: #155aef;
+  --color-text-text-selected: #155aef24;
+  --color-text-secondary-on-surface: #ffffffe6;
+  --color-text-logo-text: #18222f;
+  --color-text-empty-state-icon: #d0d5dc;
   --color-text-inverted: #000000;
-  --color-text-inverted-dimmed: #000000F2;
+  --color-text-inverted-dimmed: #000000f2;
 
-  --color-background-body: #F2F4F7;
-  --color-background-default-subtle: #FCFCFD;
-  --color-background-neutral-subtle: #F9FAFB;
-  --color-background-sidenav-bg: #FFFFFFCC;
-  --color-background-default: #FFFFFF;
-  --color-background-soft: #F9FAFB;
-  --color-background-gradient-bg-fill-chat-bg-1: #F9FAFB;
-  --color-background-gradient-bg-fill-chat-bg-2: #F2F4F7;
-  --color-background-gradient-bg-fill-chat-bubble-bg-1: #FFFFFF;
-  --color-background-gradient-bg-fill-chat-bubble-bg-2: #FFFFFF99;
-  --color-background-gradient-bg-fill-debug-bg-1: #FFFFFF00;
-  --color-background-gradient-bg-fill-debug-bg-2: #C8CEDA24;
+  --color-background-body: #f2f4f7;
+  --color-background-default-subtle: #fcfcfd;
+  --color-background-neutral-subtle: #f9fafb;
+  --color-background-sidenav-bg: #ffffffcc;
+  --color-background-default: #ffffff;
+  --color-background-soft: #f9fafb;
+  --color-background-gradient-bg-fill-chat-bg-1: #f9fafb;
+  --color-background-gradient-bg-fill-chat-bg-2: #f2f4f7;
+  --color-background-gradient-bg-fill-chat-bubble-bg-1: #ffffff;
+  --color-background-gradient-bg-fill-chat-bubble-bg-2: #ffffff99;
+  --color-background-gradient-bg-fill-debug-bg-1: #ffffff00;
+  --color-background-gradient-bg-fill-debug-bg-2: #c8ceda24;
 
-  --color-background-gradient-mask-gray: #C8CEDA33;
-  --color-background-gradient-mask-transparent: #FFFFFF00;
-  --color-background-gradient-mask-input-clear-2: #E9EBF000;
-  --color-background-gradient-mask-input-clear-1: #E9EBF0;
+  --color-background-gradient-mask-gray: #c8ceda33;
+  --color-background-gradient-mask-transparent: #ffffff00;
+  --color-background-gradient-mask-input-clear-2: #e9ebf000;
+  --color-background-gradient-mask-input-clear-1: #e9ebf0;
   --color-background-gradient-mask-transparent-dark: #00000000;
-  --color-background-gradient-mask-side-panel-2: #1018284D;
+  --color-background-gradient-mask-side-panel-2: #1018284d;
   --color-background-gradient-mask-side-panel-1: #10182805;
 
-  --color-background-default-burn: #E9EBF0;
-  --color-background-overlay-fullscreen: #F9FAFBF2;
-  --color-background-default-lighter: #FFFFFF80;
-  --color-background-section: #F9FAFB;
-  --color-background-interaction-from-bg-1: #C8CEDA33;
-  --color-background-interaction-from-bg-2: #C8CEDA24;
-  --color-background-section-burn: #F2F4F7;
-  --color-background-default-dodge: #FFFFFF;
+  --color-background-default-burn: #e9ebf0;
+  --color-background-overlay-fullscreen: #f9fafbf2;
+  --color-background-default-lighter: #ffffff80;
+  --color-background-section: #f9fafb;
+  --color-background-interaction-from-bg-1: #c8ceda33;
+  --color-background-interaction-from-bg-2: #c8ceda24;
+  --color-background-section-burn: #f2f4f7;
+  --color-background-default-dodge: #ffffff;
   --color-background-overlay: #10182899;
-  --color-background-default-dimmed: #E9EBF0;
-  --color-background-default-hover: #F9FAFB;
+  --color-background-default-dimmed: #e9ebf0;
+  --color-background-default-hover: #f9fafb;
   --color-background-overlay-alt: #10182866;
-  --color-background-surface-white: #FFFFFFF2;
-  --color-background-overlay-destructive: #F044384D;
-  --color-background-overlay-backdrop: #F2F4F7F2;
+  --color-background-surface-white: #fffffff2;
+  --color-background-overlay-destructive: #f044384d;
+  --color-background-overlay-backdrop: #f2f4f7f2;
 
-  --color-shadow-shadow-1: #09090B08;
-  --color-shadow-shadow-3: #09090B0D;
-  --color-shadow-shadow-4: #09090B0F;
-  --color-shadow-shadow-5: #09090B14;
-  --color-shadow-shadow-6: #09090B1A;
-  --color-shadow-shadow-7: #09090B1F;
-  --color-shadow-shadow-8: #09090B24;
-  --color-shadow-shadow-9: #09090B2E;
-  --color-shadow-shadow-2: #09090B0A;
-  --color-shadow-shadow-10: #09090B0D;
+  --color-shadow-shadow-1: #09090b08;
+  --color-shadow-shadow-3: #09090b0d;
+  --color-shadow-shadow-4: #09090b0f;
+  --color-shadow-shadow-5: #09090b14;
+  --color-shadow-shadow-6: #09090b1a;
+  --color-shadow-shadow-7: #09090b1f;
+  --color-shadow-shadow-8: #09090b24;
+  --color-shadow-shadow-9: #09090b2e;
+  --color-shadow-shadow-2: #09090b0a;
+  --color-shadow-shadow-10: #09090b0d;
 
-  --color-workflow-block-border: #FFFFFF;
-  --color-workflow-block-parma-bg: #F2F4F7;
-  --color-workflow-block-bg: #FCFCFD;
-  --color-workflow-block-bg-transparent: #FCFCFDE5;
-  --color-workflow-block-border-highlight: #155AEF24;
+  --color-workflow-block-border: #ffffff;
+  --color-workflow-block-parma-bg: #f2f4f7;
+  --color-workflow-block-bg: #fcfcfd;
+  --color-workflow-block-bg-transparent: #fcfcfde6;
+  --color-workflow-block-border-highlight: #155aef24;
 
-  --color-workflow-canvas-workflow-dot-color: #8585AD26;
-  --color-workflow-canvas-workflow-bg: #F2F4F7;
+  --color-workflow-canvas-workflow-dot-color: #8585ad26;
+  --color-workflow-canvas-workflow-bg: #f2f4f7;
 
-  --color-workflow-link-line-active: #296DFF;
-  --color-workflow-link-line-normal: #D0D5DC;
-  --color-workflow-link-line-handle: #296DFF;
-  --color-workflow-link-line-normal-transparent: #D0D5DC33;
-  --color-workflow-link-line-failure-active: #F79009;
-  --color-workflow-link-line-failure-handle: #F79009;
-  --color-workflow-link-line-failure-button-bg: #DC6803;
-  --color-workflow-link-line-failure-button-hover: #B54708;
+  --color-workflow-link-line-active: #296dff;
+  --color-workflow-link-line-normal: #d0d5dc;
+  --color-workflow-link-line-handle: #296dff;
+  --color-workflow-link-line-normal-transparent: #d0d5dc33;
+  --color-workflow-link-line-failure-active: #f79009;
+  --color-workflow-link-line-failure-handle: #f79009;
+  --color-workflow-link-line-failure-button-bg: #dc6803;
+  --color-workflow-link-line-failure-button-hover: #b54708;
 
-  --color-workflow-link-line-success-active: #17B26A;
-  --color-workflow-link-line-success-handle: #17B26A;
+  --color-workflow-link-line-success-active: #17b26a;
+  --color-workflow-link-line-success-handle: #17b26a;
 
-  --color-workflow-link-line-error-active: #F04438;
-  --color-workflow-link-line-error-handle: #F04438;
+  --color-workflow-link-line-error-active: #f04438;
+  --color-workflow-link-line-error-handle: #f04438;
 
-  --color-workflow-minimap-bg: #E9EBF0;
-  --color-workflow-minimap-block: #C8CEDA4D;
+  --color-workflow-minimap-bg: #e9ebf0;
+  --color-workflow-minimap-block: #c8ceda4d;
 
-  --color-workflow-display-success-bg: #ECFDF3;
-  --color-workflow-display-success-border-1: #17B26ACC;
-  --color-workflow-display-success-border-2: #17B26A80;
-  --color-workflow-display-success-vignette-color: #17B26A33;
-  --color-workflow-display-success-bg-line-pattern: #17B26A4D;
+  --color-workflow-display-success-bg: #ecfdf3;
+  --color-workflow-display-success-border-1: #17b26acc;
+  --color-workflow-display-success-border-2: #17b26a80;
+  --color-workflow-display-success-vignette-color: #17b26a33;
+  --color-workflow-display-success-bg-line-pattern: #17b26a4d;
 
-  --color-workflow-display-glass-1: #FFFFFF1F;
-  --color-workflow-display-glass-2: #FFFFFF80;
-  --color-workflow-display-vignette-dark: #0000001F;
-  --color-workflow-display-highlight: #FFFFFF80;
-  --color-workflow-display-outline: #0000000D;
-  --color-workflow-display-error-bg: #FEF3F2;
-  --color-workflow-display-error-bg-line-pattern: #F044384D;
-  --color-workflow-display-error-border-1: #F04438CC;
-  --color-workflow-display-error-border-2: #F0443880;
-  --color-workflow-display-error-vignette-color: #F0443833;
+  --color-workflow-display-glass-1: #ffffff1f;
+  --color-workflow-display-glass-2: #ffffff80;
+  --color-workflow-display-vignette-dark: #0000001f;
+  --color-workflow-display-highlight: #ffffff80;
+  --color-workflow-display-outline: #0000000d;
+  --color-workflow-display-error-bg: #fef3f2;
+  --color-workflow-display-error-bg-line-pattern: #f044384d;
+  --color-workflow-display-error-border-1: #f04438cc;
+  --color-workflow-display-error-border-2: #f0443880;
+  --color-workflow-display-error-vignette-color: #f0443833;
 
-  --color-workflow-display-warning-bg: #FFFAEB;
-  --color-workflow-display-warning-bg-line-pattern: #F790094D;
-  --color-workflow-display-warning-border-1: #F79009CC;
-  --color-workflow-display-warning-border-2: #F7900980;
-  --color-workflow-display-warning-vignette-color: #F7900933;
+  --color-workflow-display-warning-bg: #fffaeb;
+  --color-workflow-display-warning-bg-line-pattern: #f790094d;
+  --color-workflow-display-warning-border-1: #f79009cc;
+  --color-workflow-display-warning-border-2: #f7900980;
+  --color-workflow-display-warning-vignette-color: #f7900933;
 
-  --color-workflow-display-normal-bg: #F0F9FF;
-  --color-workflow-display-normal-bg-line-pattern: #0BA5EC4D;
-  --color-workflow-display-normal-border-1: #0BA5ECCC;
-  --color-workflow-display-normal-border-2: #0BA5EC80;
-  --color-workflow-display-normal-vignette-color: #0BA5EC33;
+  --color-workflow-display-normal-bg: #f0f9ff;
+  --color-workflow-display-normal-bg-line-pattern: #0ba5ec4d;
+  --color-workflow-display-normal-border-1: #0ba5eccc;
+  --color-workflow-display-normal-border-2: #0ba5ec80;
+  --color-workflow-display-normal-vignette-color: #0ba5ec33;
 
-  --color-workflow-display-disabled-bg: #F9FAFB;
-  --color-workflow-display-disabled-bg-line-pattern: #C8CEDA4D;
-  --color-workflow-display-disabled-border-1: #C8CEDA99;
-  --color-workflow-display-disabled-border-2: #C8CEDA66;
-  --color-workflow-display-disabled-vignette-color: #C8CEDA66;
+  --color-workflow-display-disabled-bg: #f9fafb;
+  --color-workflow-display-disabled-bg-line-pattern: #c8ceda4d;
+  --color-workflow-display-disabled-border-1: #c8ceda99;
+  --color-workflow-display-disabled-border-2: #c8ceda66;
+  --color-workflow-display-disabled-vignette-color: #c8ceda66;
   --color-workflow-display-disabled-outline: #00000000;
 
-  --color-workflow-workflow-progress-bg-1: #C8CEDA33;
-  --color-workflow-workflow-progress-bg-2: #C8CEDA0A;
+  --color-workflow-workflow-progress-bg-1: #c8ceda33;
+  --color-workflow-workflow-progress-bg-2: #c8ceda0a;
 
-  --color-divider-subtle: #1018280A;
+  --color-divider-subtle: #1018280a;
   --color-divider-regular: #10182814;
   --color-divider-deep: #10182824;
-  --color-divider-burn: #1018280A;
-  --color-divider-intense: #1018284D;
-  --color-divider-solid: #D0D5DC;
-  --color-divider-solid-alt: #98A2B2;
+  --color-divider-burn: #1018280a;
+  --color-divider-intense: #1018284d;
+  --color-divider-solid: #d0d5dc;
+  --color-divider-solid-alt: #98a2b2;
 
-  --color-state-base-hover: #C8CEDA33;
-  --color-state-base-active: #C8CEDA66;
-  --color-state-base-hover-alt: #C8CEDA66;
+  --color-state-base-hover: #c8ceda33;
+  --color-state-base-active: #c8ceda66;
+  --color-state-base-hover-alt: #c8ceda66;
   --color-state-base-handle: #10182833;
-  --color-state-base-handle-hover: #1018284D;
+  --color-state-base-handle-hover: #1018284d;
+  --color-state-base-hover-subtle: #c8ceda14;
 
-  --color-state-accent-hover: #EFF4FF;
-  --color-state-accent-active: #155AEF14;
-  --color-state-accent-hover-alt: #D1E0FF;
-  --color-state-accent-solid: #296DFF;
-  --color-state-accent-active-alt: #155AEF24;
+  --color-state-accent-hover: #eff4ff;
+  --color-state-accent-active: #155aef14;
+  --color-state-accent-hover-alt: #d1e0ff;
+  --color-state-accent-solid: #296dff;
+  --color-state-accent-active-alt: #155aef24;
 
-  --color-state-destructive-hover: #FEF3F2;
-  --color-state-destructive-hover-alt: #FEE4E2;
-  --color-state-destructive-active: #FECDCA;
-  --color-state-destructive-solid: #F04438;
-  --color-state-destructive-border: #FDA29B;
+  --color-state-destructive-hover: #fef3f2;
+  --color-state-destructive-hover-alt: #fee4e2;
+  --color-state-destructive-active: #fecdca;
+  --color-state-destructive-solid: #f04438;
+  --color-state-destructive-border: #fda29b;
 
-  --color-state-success-hover: #ECFDF3;
-  --color-state-success-hover-alt: #DCFAE6;
-  --color-state-success-active: #ABEFC6;
-  --color-state-success-solid: #17B26A;
+  --color-state-success-hover: #ecfdf3;
+  --color-state-success-hover-alt: #dcfae6;
+  --color-state-success-active: #abefc6;
+  --color-state-success-solid: #17b26a;
 
-  --color-state-warning-hover: #FFFAEB;
-  --color-state-warning-hover-alt: #FEF0C7;
-  --color-state-warning-active: #FEDF89;
-  --color-state-warning-solid: #F79009;
+  --color-state-warning-hover: #fffaeb;
+  --color-state-warning-hover-alt: #fef0c7;
+  --color-state-warning-active: #fedf89;
+  --color-state-warning-solid: #f79009;
 
-  --color-effects-highlight: #FFFFFF;
-  --color-effects-highlight-lightmode-off: #FFFFFF00;
-  --color-effects-image-frame: #FFFFFF;
+  --color-effects-highlight: #ffffff;
+  --color-effects-highlight-lightmode-off: #ffffff00;
+  --color-effects-image-frame: #ffffff;
 
-  --color-util-colors-orange-dark-orange-dark-50: #FFF4ED;
-  --color-util-colors-orange-dark-orange-dark-100: #FFE6D5;
-  --color-util-colors-orange-dark-orange-dark-200: #FFD6AE;
-  --color-util-colors-orange-dark-orange-dark-300: #FF9C66;
-  --color-util-colors-orange-dark-orange-dark-400: #FF692E;
-  --color-util-colors-orange-dark-orange-dark-500: #FF4405;
-  --color-util-colors-orange-dark-orange-dark-600: #E62E05;
-  --color-util-colors-orange-dark-orange-dark-700: #BC1B06;
+  --color-util-colors-orange-dark-orange-dark-50: #fff4ed;
+  --color-util-colors-orange-dark-orange-dark-100: #ffe6d5;
+  --color-util-colors-orange-dark-orange-dark-200: #ffd6ae;
+  --color-util-colors-orange-dark-orange-dark-300: #ff9c66;
+  --color-util-colors-orange-dark-orange-dark-400: #ff692e;
+  --color-util-colors-orange-dark-orange-dark-500: #ff4405;
+  --color-util-colors-orange-dark-orange-dark-600: #e62e05;
+  --color-util-colors-orange-dark-orange-dark-700: #bc1b06;
 
-  --color-util-colors-orange-orange-50: #FEF6EE;
-  --color-util-colors-orange-orange-100: #FDEAD7;
-  --color-util-colors-orange-orange-200: #F9DBAF;
-  --color-util-colors-orange-orange-300: #F7B27A;
-  --color-util-colors-orange-orange-400: #F38744;
-  --color-util-colors-orange-orange-500: #EF6820;
-  --color-util-colors-orange-orange-600: #E04F16;
-  --color-util-colors-orange-orange-700: #B93815;
-  --color-util-colors-orange-orange-100-transparent: #FDEAD700;
+  --color-util-colors-orange-orange-50: #fef6ee;
+  --color-util-colors-orange-orange-100: #fdead7;
+  --color-util-colors-orange-orange-200: #f9dbaf;
+  --color-util-colors-orange-orange-300: #f7b27a;
+  --color-util-colors-orange-orange-400: #f38744;
+  --color-util-colors-orange-orange-500: #ef6820;
+  --color-util-colors-orange-orange-600: #e04f16;
+  --color-util-colors-orange-orange-700: #b93815;
+  --color-util-colors-orange-orange-100-transparent: #fdead700;
 
-  --color-util-colors-pink-pink-50: #FDF2FA;
-  --color-util-colors-pink-pink-100: #FCE7F6;
-  --color-util-colors-pink-pink-200: #FCCEEE;
-  --color-util-colors-pink-pink-300: #FAA7E0;
-  --color-util-colors-pink-pink-400: #F670C7;
-  --color-util-colors-pink-pink-500: #EE46BC;
-  --color-util-colors-pink-pink-600: #DD2590;
-  --color-util-colors-pink-pink-700: #C11574;
+  --color-util-colors-pink-pink-50: #fdf2fa;
+  --color-util-colors-pink-pink-100: #fce7f6;
+  --color-util-colors-pink-pink-200: #fcceee;
+  --color-util-colors-pink-pink-300: #faa7e0;
+  --color-util-colors-pink-pink-400: #f670c7;
+  --color-util-colors-pink-pink-500: #ee46bc;
+  --color-util-colors-pink-pink-600: #dd2590;
+  --color-util-colors-pink-pink-700: #c11574;
 
-  --color-util-colors-fuchsia-fuchsia-50: #FDF4FF;
-  --color-util-colors-fuchsia-fuchsia-100: #FBE8FF;
-  --color-util-colors-fuchsia-fuchsia-200: #F6D0FE;
-  --color-util-colors-fuchsia-fuchsia-300: #EEAAFD;
-  --color-util-colors-fuchsia-fuchsia-400: #E478FA;
-  --color-util-colors-fuchsia-fuchsia-500: #D444F1;
-  --color-util-colors-fuchsia-fuchsia-600: #BA24D5;
-  --color-util-colors-fuchsia-fuchsia-700: #9F1AB1;
+  --color-util-colors-fuchsia-fuchsia-50: #fdf4ff;
+  --color-util-colors-fuchsia-fuchsia-100: #fbe8ff;
+  --color-util-colors-fuchsia-fuchsia-200: #f6d0fe;
+  --color-util-colors-fuchsia-fuchsia-300: #eeaafd;
+  --color-util-colors-fuchsia-fuchsia-400: #e478fa;
+  --color-util-colors-fuchsia-fuchsia-500: #d444f1;
+  --color-util-colors-fuchsia-fuchsia-600: #ba24d5;
+  --color-util-colors-fuchsia-fuchsia-700: #9f1ab1;
 
-  --color-util-colors-purple-purple-50: #F4F3FF;
-  --color-util-colors-purple-purple-100: #EBE9FE;
-  --color-util-colors-purple-purple-200: #D9D6FE;
-  --color-util-colors-purple-purple-300: #BDB4FE;
-  --color-util-colors-purple-purple-400: #9B8AFB;
-  --color-util-colors-purple-purple-500: #7A5AF8;
-  --color-util-colors-purple-purple-600: #6938EF;
-  --color-util-colors-purple-purple-700: #5925DC;
+  --color-util-colors-purple-purple-50: #f4f3ff;
+  --color-util-colors-purple-purple-100: #ebe9fe;
+  --color-util-colors-purple-purple-200: #d9d6fe;
+  --color-util-colors-purple-purple-300: #bdb4fe;
+  --color-util-colors-purple-purple-400: #9b8afb;
+  --color-util-colors-purple-purple-500: #7a5af8;
+  --color-util-colors-purple-purple-600: #6938ef;
+  --color-util-colors-purple-purple-700: #5925dc;
 
-  --color-util-colors-indigo-indigo-50: #EEF4FF;
-  --color-util-colors-indigo-indigo-100: #E0EAFF;
-  --color-util-colors-indigo-indigo-200: #C7D7FE;
-  --color-util-colors-indigo-indigo-300: #A4BCFD;
-  --color-util-colors-indigo-indigo-400: #8098F9;
-  --color-util-colors-indigo-indigo-500: #6172F3;
-  --color-util-colors-indigo-indigo-600: #444CE7;
-  --color-util-colors-indigo-indigo-700: #3538CD;
+  --color-util-colors-indigo-indigo-50: #eef4ff;
+  --color-util-colors-indigo-indigo-100: #e0eaff;
+  --color-util-colors-indigo-indigo-200: #c7d7fe;
+  --color-util-colors-indigo-indigo-300: #a4bcfd;
+  --color-util-colors-indigo-indigo-400: #8098f9;
+  --color-util-colors-indigo-indigo-500: #6172f3;
+  --color-util-colors-indigo-indigo-600: #444ce7;
+  --color-util-colors-indigo-indigo-700: #3538cd;
 
-  --color-util-colors-blue-blue-50: #EFF8FF;
-  --color-util-colors-blue-blue-100: #D1E9FF;
-  --color-util-colors-blue-blue-200: #B2DDFF;
-  --color-util-colors-blue-blue-300: #84CAFF;
-  --color-util-colors-blue-blue-400: #53B1FD;
-  --color-util-colors-blue-blue-500: #2E90FA;
-  --color-util-colors-blue-blue-600: #1570EF;
-  --color-util-colors-blue-blue-700: #175CD3;
+  --color-util-colors-blue-blue-50: #eff8ff;
+  --color-util-colors-blue-blue-100: #d1e9ff;
+  --color-util-colors-blue-blue-200: #b2ddff;
+  --color-util-colors-blue-blue-300: #84caff;
+  --color-util-colors-blue-blue-400: #53b1fd;
+  --color-util-colors-blue-blue-500: #2e90fa;
+  --color-util-colors-blue-blue-600: #1570ef;
+  --color-util-colors-blue-blue-700: #175cd3;
 
-  --color-util-colors-blue-light-blue-light-50: #F0F9FF;
-  --color-util-colors-blue-light-blue-light-100: #E0F2FE;
-  --color-util-colors-blue-light-blue-light-200: #B9E6FE;
-  --color-util-colors-blue-light-blue-light-300: #7CD4FD;
-  --color-util-colors-blue-light-blue-light-400: #36BFFA;
-  --color-util-colors-blue-light-blue-light-500: #0BA5EC;
-  --color-util-colors-blue-light-blue-light-600: #0086C9;
-  --color-util-colors-blue-light-blue-light-700: #026AA2;
+  --color-util-colors-blue-light-blue-light-50: #f0f9ff;
+  --color-util-colors-blue-light-blue-light-100: #e0f2fe;
+  --color-util-colors-blue-light-blue-light-200: #b9e6fe;
+  --color-util-colors-blue-light-blue-light-300: #7cd4fd;
+  --color-util-colors-blue-light-blue-light-400: #36bffa;
+  --color-util-colors-blue-light-blue-light-500: #0ba5ec;
+  --color-util-colors-blue-light-blue-light-600: #0086c9;
+  --color-util-colors-blue-light-blue-light-700: #026aa2;
 
-  --color-util-colors-gray-blue-gray-blue-50: #F8F9FC;
-  --color-util-colors-gray-blue-gray-blue-100: #EAECF5;
-  --color-util-colors-gray-blue-gray-blue-200: #D5D9EB;
-  --color-util-colors-gray-blue-gray-blue-300: #B3B8DB;
-  --color-util-colors-gray-blue-gray-blue-400: #717BBC;
-  --color-util-colors-gray-blue-gray-blue-500: #4E5BA6;
-  --color-util-colors-gray-blue-gray-blue-600: #3E4784;
-  --color-util-colors-gray-blue-gray-blue-700: #363F72;
+  --color-util-colors-gray-blue-gray-blue-50: #f8f9fc;
+  --color-util-colors-gray-blue-gray-blue-100: #eaecf5;
+  --color-util-colors-gray-blue-gray-blue-200: #d5d9eb;
+  --color-util-colors-gray-blue-gray-blue-300: #b3b8db;
+  --color-util-colors-gray-blue-gray-blue-400: #717bbc;
+  --color-util-colors-gray-blue-gray-blue-500: #4e5ba6;
+  --color-util-colors-gray-blue-gray-blue-600: #3e4784;
+  --color-util-colors-gray-blue-gray-blue-700: #363f72;
 
-  --color-util-colors-blue-brand-blue-brand-50: #F5F7FF;
-  --color-util-colors-blue-brand-blue-brand-100: #D1E0FF;
-  --color-util-colors-blue-brand-blue-brand-200: #B2CAFF;
-  --color-util-colors-blue-brand-blue-brand-300: #84ABFF;
-  --color-util-colors-blue-brand-blue-brand-400: #5289FF;
-  --color-util-colors-blue-brand-blue-brand-500: #296DFF;
-  --color-util-colors-blue-brand-blue-brand-600: #155AEF;
-  --color-util-colors-blue-brand-blue-brand-700: #004AEB;
+  --color-util-colors-blue-brand-blue-brand-50: #f5f7ff;
+  --color-util-colors-blue-brand-blue-brand-100: #d1e0ff;
+  --color-util-colors-blue-brand-blue-brand-200: #b2caff;
+  --color-util-colors-blue-brand-blue-brand-300: #84abff;
+  --color-util-colors-blue-brand-blue-brand-400: #5289ff;
+  --color-util-colors-blue-brand-blue-brand-500: #296dff;
+  --color-util-colors-blue-brand-blue-brand-600: #155aef;
+  --color-util-colors-blue-brand-blue-brand-700: #004aeb;
 
-  --color-util-colors-red-red-50: #FEF3F2;
-  --color-util-colors-red-red-100: #FEE4E2;
-  --color-util-colors-red-red-200: #FECDCA;
-  --color-util-colors-red-red-300: #FDA29B;
-  --color-util-colors-red-red-400: #F97066;
-  --color-util-colors-red-red-500: #F04438;
-  --color-util-colors-red-red-600: #D92D20;
-  --color-util-colors-red-red-700: #B42318;
+  --color-util-colors-red-red-50: #fef3f2;
+  --color-util-colors-red-red-100: #fee4e2;
+  --color-util-colors-red-red-200: #fecdca;
+  --color-util-colors-red-red-300: #fda29b;
+  --color-util-colors-red-red-400: #f97066;
+  --color-util-colors-red-red-500: #f04438;
+  --color-util-colors-red-red-600: #d92d20;
+  --color-util-colors-red-red-700: #b42318;
 
-  --color-util-colors-green-green-50: #ECFDF3;
-  --color-util-colors-green-green-100: #DCFAE6;
-  --color-util-colors-green-green-200: #ABEFC6;
-  --color-util-colors-green-green-300: #75E0A7;
-  --color-util-colors-green-green-400: #47CD89;
-  --color-util-colors-green-green-500: #17B26A;
+  --color-util-colors-green-green-50: #ecfdf3;
+  --color-util-colors-green-green-100: #dcfae6;
+  --color-util-colors-green-green-200: #abefc6;
+  --color-util-colors-green-green-300: #75e0a7;
+  --color-util-colors-green-green-400: #47cd89;
+  --color-util-colors-green-green-500: #17b26a;
   --color-util-colors-green-green-600: #079455;
   --color-util-colors-green-green-700: #067647;
 
-  --color-util-colors-warning-warning-50: #FFFAEB;
-  --color-util-colors-warning-warning-100: #FEF0C7;
-  --color-util-colors-warning-warning-200: #FEDF89;
-  --color-util-colors-warning-warning-300: #FEC84B;
-  --color-util-colors-warning-warning-400: #FDB022;
-  --color-util-colors-warning-warning-500: #F79009;
-  --color-util-colors-warning-warning-600: #DC6803;
-  --color-util-colors-warning-warning-700: #B54708;
+  --color-util-colors-warning-warning-50: #fffaeb;
+  --color-util-colors-warning-warning-100: #fef0c7;
+  --color-util-colors-warning-warning-200: #fedf89;
+  --color-util-colors-warning-warning-300: #fec84b;
+  --color-util-colors-warning-warning-400: #fdb022;
+  --color-util-colors-warning-warning-500: #f79009;
+  --color-util-colors-warning-warning-600: #dc6803;
+  --color-util-colors-warning-warning-700: #b54708;
 
-  --color-util-colors-yellow-yellow-50: #FEFBE8;
-  --color-util-colors-yellow-yellow-100: #FEF7C3;
-  --color-util-colors-yellow-yellow-200: #FEEE95;
-  --color-util-colors-yellow-yellow-300: #FDE272;
-  --color-util-colors-yellow-yellow-400: #FAC515;
-  --color-util-colors-yellow-yellow-500: #EAAA08;
-  --color-util-colors-yellow-yellow-600: #CA8504;
-  --color-util-colors-yellow-yellow-700: #A15C07;
+  --color-util-colors-yellow-yellow-50: #fefbe8;
+  --color-util-colors-yellow-yellow-100: #fef7c3;
+  --color-util-colors-yellow-yellow-200: #feee95;
+  --color-util-colors-yellow-yellow-300: #fde272;
+  --color-util-colors-yellow-yellow-400: #fac515;
+  --color-util-colors-yellow-yellow-500: #eaaa08;
+  --color-util-colors-yellow-yellow-600: #ca8504;
+  --color-util-colors-yellow-yellow-700: #a15c07;
 
-  --color-util-colors-teal-teal-50: #F0FDF9;
-  --color-util-colors-teal-teal-100: #CCFBEF;
-  --color-util-colors-teal-teal-200: #99F6E0;
-  --color-util-colors-teal-teal-300: #5FE9D0;
-  --color-util-colors-teal-teal-400: #2ED3B7;
-  --color-util-colors-teal-teal-500: #15B79E;
-  --color-util-colors-teal-teal-600: #0E9384;
+  --color-util-colors-teal-teal-50: #f0fdf9;
+  --color-util-colors-teal-teal-100: #ccfbef;
+  --color-util-colors-teal-teal-200: #99f6e0;
+  --color-util-colors-teal-teal-300: #5fe9d0;
+  --color-util-colors-teal-teal-400: #2ed3b7;
+  --color-util-colors-teal-teal-500: #15b79e;
+  --color-util-colors-teal-teal-600: #0e9384;
   --color-util-colors-teal-teal-700: #107569;
 
-  --color-util-colors-cyan-cyan-50: #ECFDFF;
-  --color-util-colors-cyan-cyan-100: #CFF9FE;
-  --color-util-colors-cyan-cyan-200: #A5F0FC;
-  --color-util-colors-cyan-cyan-300: #67E3F9;
-  --color-util-colors-cyan-cyan-400: #22CCEE;
-  --color-util-colors-cyan-cyan-500: #06AED4;
-  --color-util-colors-cyan-cyan-600: #088AB2;
-  --color-util-colors-cyan-cyan-700: #0E7090;
+  --color-util-colors-cyan-cyan-50: #ecfdff;
+  --color-util-colors-cyan-cyan-100: #cff9fe;
+  --color-util-colors-cyan-cyan-200: #a5f0fc;
+  --color-util-colors-cyan-cyan-300: #67e3f9;
+  --color-util-colors-cyan-cyan-400: #22ccee;
+  --color-util-colors-cyan-cyan-500: #06aed4;
+  --color-util-colors-cyan-cyan-600: #088ab2;
+  --color-util-colors-cyan-cyan-700: #0e7090;
 
-  --color-util-colors-violet-violet-50: #F5F3FF;
-  --color-util-colors-violet-violet-100: #ECE9FE;
-  --color-util-colors-violet-violet-200: #DDD6FE;
-  --color-util-colors-violet-violet-300: #C3B5FD;
-  --color-util-colors-violet-violet-400: #A48AFB;
-  --color-util-colors-violet-violet-500: #875BF7;
-  --color-util-colors-violet-violet-600: #7839EE;
-  --color-util-colors-violet-violet-700: #6927DA;
+  --color-util-colors-violet-violet-50: #f5f3ff;
+  --color-util-colors-violet-violet-100: #ece9fe;
+  --color-util-colors-violet-violet-200: #ddd6fe;
+  --color-util-colors-violet-violet-300: #c3b5fd;
+  --color-util-colors-violet-violet-400: #a48afb;
+  --color-util-colors-violet-violet-500: #875bf7;
+  --color-util-colors-violet-violet-600: #7839ee;
+  --color-util-colors-violet-violet-700: #6927da;
 
-  --color-util-colors-gray-gray-50: #F9FAFB;
-  --color-util-colors-gray-gray-100: #F2F4F7;
-  --color-util-colors-gray-gray-200: #E9EBF0;
-  --color-util-colors-gray-gray-300: #D0D5DC;
-  --color-util-colors-gray-gray-400: #98A2B2;
-  --color-util-colors-gray-gray-500: #676F83;
+  --color-util-colors-gray-gray-50: #f9fafb;
+  --color-util-colors-gray-gray-100: #f2f4f7;
+  --color-util-colors-gray-gray-200: #e9ebf0;
+  --color-util-colors-gray-gray-300: #d0d5dc;
+  --color-util-colors-gray-gray-400: #98a2b2;
+  --color-util-colors-gray-gray-500: #676f83;
   --color-util-colors-gray-gray-600: #495464;
   --color-util-colors-gray-gray-700: #354052;
 
-  --color-util-colors-green-light-green-light-50: #F3FEE7;
-  --color-util-colors-green-light-green-light-100: #E3FBCC;
-  --color-util-colors-green-light-green-light-200: #D0F8AB;
-  --color-util-colors-green-light-green-light-300: #A6EF67;
-  --color-util-colors-green-light-green-light-500: #66C61C;
-  --color-util-colors-green-light-green-light-400: #85E13A;
-  --color-util-colors-green-light-green-light-600: #4CA30D;
-  --color-util-colors-green-light-green-light-700: #3B7C0F;
+  --color-util-colors-green-light-green-light-50: #f3fee7;
+  --color-util-colors-green-light-green-light-100: #e3fbcc;
+  --color-util-colors-green-light-green-light-200: #d0f8ab;
+  --color-util-colors-green-light-green-light-300: #a6ef67;
+  --color-util-colors-green-light-green-light-500: #66c61c;
+  --color-util-colors-green-light-green-light-400: #85e13a;
+  --color-util-colors-green-light-green-light-600: #4ca30d;
+  --color-util-colors-green-light-green-light-700: #3b7c0f;
 
-  --color-util-colors-rose-rose-50: #FFF1F3;
-  --color-util-colors-rose-rose-100: #FFE4E8;
-  --color-util-colors-rose-rose-200: #FECDD6;
-  --color-util-colors-rose-rose-300: #FEA3B4;
-  --color-util-colors-rose-rose-400: #FD6F8E;
-  --color-util-colors-rose-rose-500: #F63D68;
-  --color-util-colors-rose-rose-600: #E31B54;
-  --color-util-colors-rose-rose-700: #C01048;
+  --color-util-colors-rose-rose-50: #fff1f3;
+  --color-util-colors-rose-rose-100: #ffe4e8;
+  --color-util-colors-rose-rose-200: #fecdd6;
+  --color-util-colors-rose-rose-300: #fea3b4;
+  --color-util-colors-rose-rose-400: #fd6f8e;
+  --color-util-colors-rose-rose-500: #f63d68;
+  --color-util-colors-rose-rose-600: #e31b54;
+  --color-util-colors-rose-rose-700: #c01048;
 
-  --color-util-colors-midnight-midnight-50: #FBFBFC;
-  --color-util-colors-midnight-midnight-100: #F0F2F5;
-  --color-util-colors-midnight-midnight-200: #DFE1EA;
-  --color-util-colors-midnight-midnight-300: #C6CBD9;
-  --color-util-colors-midnight-midnight-400: #A7AEC5;
-  --color-util-colors-midnight-midnight-500: #828DAD;
-  --color-util-colors-midnight-midnight-600: #5D698D;
-  --color-util-colors-midnight-midnight-700: #3E465E;
+  --color-util-colors-midnight-midnight-50: #fbfbfc;
+  --color-util-colors-midnight-midnight-100: #f0f2f5;
+  --color-util-colors-midnight-midnight-200: #dfe1ea;
+  --color-util-colors-midnight-midnight-300: #c6cbd9;
+  --color-util-colors-midnight-midnight-400: #a7aec5;
+  --color-util-colors-midnight-midnight-500: #828dad;
+  --color-util-colors-midnight-midnight-600: #5d698d;
+  --color-util-colors-midnight-midnight-700: #3e465e;
 
-  --color-third-party-LangChain: #1C3C3C;
+  --color-third-party-LangChain: #1c3c3c;
   --color-third-party-Langfuse: #000000;
-  --color-third-party-Github: #1B1F24;
-  --color-third-party-Github-tertiary: #1B1F24;
-  --color-third-party-Github-secondary: #1B1F24;
-  --color-third-party-model-bg-openai: #E3E5E8;
-  --color-third-party-model-bg-anthropic: #EEEDE7;
-  --color-third-party-model-bg-default: #F9FAFB;
+  --color-third-party-Github: #1b1f24;
+  --color-third-party-Github-tertiary: #1b1f24;
+  --color-third-party-Github-secondary: #1b1f24;
+  --color-third-party-model-bg-openai: #e3e5e8;
+  --color-third-party-model-bg-anthropic: #eeede7;
+  --color-third-party-model-bg-default: #f9fafb;
 
-  --color-third-party-aws: #141F2E;
-  --color-third-party-aws-alt: #0F1824;
+  --color-third-party-aws: #141f2e;
+  --color-third-party-aws-alt: #0f1824;
 
-  --color-saas-background: #FCFCFD;
-  --color-saas-pricing-grid-bg: #C8CEDA80;
+  --color-saas-background: #fcfcfd;
+  --color-saas-pricing-grid-bg: #c8ceda80;
 
 }
\ No newline at end of file
diff --git a/web/themes/tailwind-theme-var-define.ts b/web/themes/tailwind-theme-var-define.ts
index ea5f80b88b..62c0ed82c7 100644
--- a/web/themes/tailwind-theme-var-define.ts
+++ b/web/themes/tailwind-theme-var-define.ts
@@ -206,6 +206,7 @@ const vars = {
   'components-badge-bg-red-soft': 'var(--color-components-badge-bg-red-soft)',
   'components-badge-bg-blue-light-soft': 'var(--color-components-badge-bg-blue-light-soft)',
   'components-badge-bg-gray-soft': 'var(--color-components-badge-bg-gray-soft)',
+  'components-badge-bg-dimm': 'var(--color-components-badge-bg-dimm)',
 
   'components-chart-line': 'var(--color-components-chart-line)',
   'components-chart-area-1': 'var(--color-components-chart-area-1)',
@@ -399,7 +400,6 @@ const vars = {
   'background-default-burn': 'var(--color-background-default-burn)',
   'background-overlay-fullscreen': 'var(--color-background-overlay-fullscreen)',
   'background-default-lighter': 'var(--color-background-default-lighter)',
-  'background-account-teams-bg': 'var(--color-account-teams-bg)',
   'background-section': 'var(--color-background-section)',
   'background-interaction-from-bg-1': 'var(--color-background-interaction-from-bg-1)',
   'background-interaction-from-bg-2': 'var(--color-background-interaction-from-bg-2)',
@@ -503,6 +503,7 @@ const vars = {
   'state-base-hover-alt': 'var(--color-state-base-hover-alt)',
   'state-base-handle': 'var(--color-state-base-handle)',
   'state-base-handle-hover': 'var(--color-state-base-handle-hover)',
+  'state-base-hover-subtle': 'var(--color-state-base-hover-subtle)',
 
   'state-accent-hover': 'var(--color-state-accent-hover)',
   'state-accent-active': 'var(--color-state-accent-active)',

From 4229d0f9a72c1a556b916d9f0702f7201b88dfa4 Mon Sep 17 00:00:00 2001
From: Xiyuan Chen <52963600+GareArc@users.noreply.github.com>
Date: Sun, 16 Feb 2025 20:58:25 -0500
Subject: [PATCH 209/217] Revert "Feat/compliance" (#13798)

---
 api/controllers/console/__init__.py           |  2 +-
 api/controllers/console/billing/compliance.py | 35 -------------------
 api/controllers/console/error.py              |  6 ----
 api/services/billing_service.py               | 29 ---------------
 4 files changed, 1 insertion(+), 71 deletions(-)
 delete mode 100644 api/controllers/console/billing/compliance.py

diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py
index a630f16be7..cb6b0d097b 100644
--- a/api/controllers/console/__init__.py
+++ b/api/controllers/console/__init__.py
@@ -70,7 +70,7 @@ from .app import (
 from .auth import activate, data_source_bearer_auth, data_source_oauth, forgot_password, login, oauth
 
 # Import billing controllers
-from .billing import billing, compliance
+from .billing import billing
 
 # Import datasets controllers
 from .datasets import (
diff --git a/api/controllers/console/billing/compliance.py b/api/controllers/console/billing/compliance.py
deleted file mode 100644
index 6d5d668709..0000000000
--- a/api/controllers/console/billing/compliance.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from flask import request
-from flask_login import current_user  # type: ignore
-from flask_restful import Resource, reqparse  # type: ignore
-
-from libs.helper import extract_remote_ip
-from libs.login import login_required
-from services.billing_service import BillingService
-
-from .. import api
-from ..wraps import account_initialization_required, only_edition_cloud, setup_required
-
-
-class ComplianceApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @only_edition_cloud
-    def get(self):
-        parser = reqparse.RequestParser()
-        parser.add_argument("doc_name", type=str, required=True, location="args")
-        args = parser.parse_args()
-
-        ip_address = extract_remote_ip(request)
-        device_info = request.headers.get("User-Agent", "Unknown device")
-
-        return BillingService.get_compliance_download_link(
-            doc_name=args.doc_name,
-            account_id=current_user.id,
-            tenant_id=current_user.current_tenant_id,
-            ip=ip_address,
-            device_info=device_info,
-        )
-
-
-api.add_resource(ComplianceApi, "/compliance/download")
diff --git a/api/controllers/console/error.py b/api/controllers/console/error.py
index bd4ae9dc7f..ee87138a44 100644
--- a/api/controllers/console/error.py
+++ b/api/controllers/console/error.py
@@ -101,9 +101,3 @@ class AccountInFreezeError(BaseHTTPException):
         "This email account has been deleted within the past 30 days"
         "and is temporarily unavailable for new account registration."
     )
-
-
-class CompilanceRateLimitError(BaseHTTPException):
-    error_code = "compilance_rate_limit"
-    description = "Rate limit exceeded for downloading compliance report."
-    code = 429
diff --git a/api/services/billing_service.py b/api/services/billing_service.py
index ad141035cc..0d50a2aa8c 100644
--- a/api/services/billing_service.py
+++ b/api/services/billing_service.py
@@ -5,7 +5,6 @@ import httpx
 from tenacity import retry, retry_if_exception_type, stop_before_delay, wait_fixed
 
 from extensions.ext_database import db
-from libs.helper import RateLimiter
 from models.account import TenantAccountJoin, TenantAccountRole
 
 
@@ -13,8 +12,6 @@ class BillingService:
     base_url = os.environ.get("BILLING_API_URL", "BILLING_API_URL")
     secret_key = os.environ.get("BILLING_API_SECRET_KEY", "BILLING_API_SECRET_KEY")
 
-    compliance_download_rate_limiter = RateLimiter("compliance_download_rate_limiter", 4, 60)
-
     @classmethod
     def get_info(cls, tenant_id: str):
         params = {"tenant_id": tenant_id}
@@ -94,29 +91,3 @@ class BillingService:
         """Update account deletion feedback."""
         json = {"email": email, "feedback": feedback}
         return cls._send_request("POST", "/account/delete-feedback", json=json)
-
-    @classmethod
-    def get_compliance_download_link(
-        cls,
-        doc_name: str,
-        account_id: str,
-        tenant_id: str,
-        ip: str,
-        device_info: str,
-    ):
-        limiter_key = f"{account_id}:{tenant_id}"
-        if cls.compliance_download_rate_limiter.is_rate_limited(limiter_key):
-            from controllers.console.error import CompilanceRateLimitError
-
-            raise CompilanceRateLimitError()
-
-        json = {
-            "doc_name": doc_name,
-            "account_id": account_id,
-            "tenant_id": tenant_id,
-            "ip_address": ip,
-            "device_info": device_info,
-        }
-        res = cls._send_request("POST", "/compliance/download", json=json)
-        cls.compliance_download_rate_limiter.increment_rate_limit(limiter_key)
-        return res

From 1434d54e7a3de84ecc033ffff5ccb558d1c9d16e Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 17 Feb 2025 09:58:56 +0800
Subject: [PATCH 210/217] Revert "Feat: compliance report download" (#13799)

---
 .../base/icons/assets/public/common/gdpr.svg  |   53 -
 .../base/icons/assets/public/common/iso.svg   |    1 -
 .../base/icons/assets/public/common/soc2.svg  |  103 --
 .../base/icons/src/public/common/Gdpr.json    |  340 -----
 .../base/icons/src/public/common/Gdpr.tsx     |   16 -
 .../base/icons/src/public/common/Iso.json     |  121 --
 .../base/icons/src/public/common/Iso.tsx      |   16 -
 .../base/icons/src/public/common/Soc2.json    |  938 -------------
 .../base/icons/src/public/common/Soc2.tsx     |   16 -
 .../base/icons/src/public/common/index.ts     |    3 -
 .../icons/src/public/knowledge/Chunk.json     |   18 +-
 .../icons/src/public/knowledge/Collapse.json  |    6 +-
 .../public/knowledge/LayoutRight2LineMod.json |    2 +-
 .../header/account-dropdown/compliance.tsx    |  185 ---
 .../header/account-dropdown/index.tsx         |  127 +-
 .../header/account-dropdown/support.tsx       |   94 --
 .../workplace-selector/index.tsx              |   25 +-
 .../components/header/github-star/index.tsx   |   47 +-
 web/app/components/header/index.tsx           |    8 +-
 web/config/index.ts                           |    1 -
 web/i18n/en-US/common.ts                      |   15 +-
 web/i18n/zh-Hans/common.ts                    |   13 -
 web/service/common.ts                         |   15 +-
 web/themes/dark.css                           | 1178 ++++++++--------
 web/themes/light.css                          | 1186 ++++++++---------
 web/themes/tailwind-theme-var-define.ts       |    3 +-
 26 files changed, 1323 insertions(+), 3207 deletions(-)
 delete mode 100644 web/app/components/base/icons/assets/public/common/gdpr.svg
 delete mode 100644 web/app/components/base/icons/assets/public/common/iso.svg
 delete mode 100644 web/app/components/base/icons/assets/public/common/soc2.svg
 delete mode 100644 web/app/components/base/icons/src/public/common/Gdpr.json
 delete mode 100644 web/app/components/base/icons/src/public/common/Gdpr.tsx
 delete mode 100644 web/app/components/base/icons/src/public/common/Iso.json
 delete mode 100644 web/app/components/base/icons/src/public/common/Iso.tsx
 delete mode 100644 web/app/components/base/icons/src/public/common/Soc2.json
 delete mode 100644 web/app/components/base/icons/src/public/common/Soc2.tsx
 delete mode 100644 web/app/components/header/account-dropdown/compliance.tsx
 delete mode 100644 web/app/components/header/account-dropdown/support.tsx

diff --git a/web/app/components/base/icons/assets/public/common/gdpr.svg b/web/app/components/base/icons/assets/public/common/gdpr.svg
deleted file mode 100644
index 163a983ed3..0000000000
--- a/web/app/components/base/icons/assets/public/common/gdpr.svg
+++ /dev/null
@@ -1,53 +0,0 @@
-<svg width="23" height="28" viewBox="0 0 23 28" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g id="Group">
-<g id="Group_2">
-<path id="Vector" d="M11.0371 28L10.7001 27.8596C8.90271 27.1013 0 23.001 0 16.8786V4.32497L11.0371 0L22.0742 4.32497V16.8786C22.0742 23.001 13.1434 27.1013 11.3741 27.8596L11.0371 28ZM1.71314 5.47643V16.8786C1.71314 18.9569 3.11735 21.0632 5.86961 23.1414C7.89167 24.658 10.0822 25.7252 11.0652 26.1464C12.0481 25.6971 14.2387 24.658 16.2608 23.1414C19.013 21.0632 20.4173 18.9569 20.4173 16.8786V5.47643L11.0652 1.82548L1.71314 5.47643Z" fill="white"/>
-</g>
-<g id="Group_3">
-<g id="Group_4">
-<path id="Vector_2" d="M11.0371 0.898682V27.0732C12.666 26.3711 21.2317 22.4674 21.2317 16.8786C21.2317 10.672 21.2317 4.88664 21.2317 4.88664L11.0371 0.898682Z" fill="#1611D3"/>
-</g>
-<g id="Group_5">
-<path id="Vector_3" d="M11.0371 0.898682V27.0732C9.40823 26.3711 0.842529 22.4674 0.842529 16.8786C0.842529 10.672 0.842529 4.88664 0.842529 4.88664L11.0371 0.898682Z" fill="#0D00A0"/>
-</g>
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diff --git a/web/app/components/base/icons/src/public/common/Gdpr.json b/web/app/components/base/icons/src/public/common/Gdpr.json
deleted file mode 100644
index 3605030eb8..0000000000
--- a/web/app/components/base/icons/src/public/common/Gdpr.json
+++ /dev/null
@@ -1,340 +0,0 @@
-{
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-											"d": "M14.3231 18.985L14.632 19.8837H15.5869L14.8005 20.4454L15.1095 21.3721L14.3231 20.8105L13.5648 21.3721L13.8457 20.4454L13.0593 19.8837H14.0423L14.3231 18.985Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							},
-							{
-								"type": "element",
-								"name": "g",
-								"attributes": {
-									"id": "Group_13"
-								},
-								"children": [
-									{
-										"type": "element",
-										"name": "path",
-										"attributes": {
-											"id": "Vector_13",
-											"d": "M17.0472 17.019L17.3281 17.9458H18.2829L17.5247 18.5075L17.8055 19.4062L17.0472 18.8445L16.2609 19.4062L16.5698 18.5075L15.7834 17.9458H16.7383L17.0472 17.019Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							},
-							{
-								"type": "element",
-								"name": "g",
-								"attributes": {
-									"id": "Group_14"
-								},
-								"children": [
-									{
-										"type": "element",
-										"name": "path",
-										"attributes": {
-											"id": "Vector_14",
-											"d": "M7.77942 5.53259L7.47049 6.43129H6.51562L7.30199 6.99297L6.99306 7.91975L7.77942 7.35807L8.53769 7.91975L8.25685 6.99297L9.01512 6.43129H8.06026L7.77942 5.53259Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							},
-							{
-								"type": "element",
-								"name": "g",
-								"attributes": {
-									"id": "Group_15"
-								},
-								"children": [
-									{
-										"type": "element",
-										"name": "path",
-										"attributes": {
-											"id": "Vector_15",
-											"d": "M5.05529 7.9198L4.77444 8.81849H3.81958L4.57785 9.38018L4.29701 10.307L5.05529 9.74528L5.84165 10.307L5.53272 9.38018L6.31908 8.81849H5.36421L5.05529 7.9198Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							},
-							{
-								"type": "element",
-								"name": "g",
-								"attributes": {
-									"id": "Group_16"
-								},
-								"children": [
-									{
-										"type": "element",
-										"name": "path",
-										"attributes": {
-											"id": "Vector_16",
-											"d": "M7.77942 18.985L7.47049 19.8837H6.51562L7.30199 20.4454L6.99306 21.3721L7.77942 20.8105L8.53769 21.3721L8.25685 20.4454L9.01512 19.8837H8.06026L7.77942 18.985Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							},
-							{
-								"type": "element",
-								"name": "g",
-								"attributes": {
-									"id": "Group_17"
-								},
-								"children": [
-									{
-										"type": "element",
-										"name": "path",
-										"attributes": {
-											"id": "Vector_17",
-											"d": "M5.05529 17.019L4.77444 17.9458H3.81958L4.57785 18.5075L4.29701 19.4062L5.05529 18.8445L5.84165 19.4062L5.53272 18.5075L6.31908 17.9458H5.36421L5.05529 17.019Z",
-											"fill": "#F7BC37"
-										},
-										"children": []
-									}
-								]
-							}
-						]
-					}
-				]
-			}
-		]
-	},
-	"name": "Gdpr"
-}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Gdpr.tsx b/web/app/components/base/icons/src/public/common/Gdpr.tsx
deleted file mode 100644
index 106299da8a..0000000000
--- a/web/app/components/base/icons/src/public/common/Gdpr.tsx
+++ /dev/null
@@ -1,16 +0,0 @@
-// GENERATE BY script
-// DON NOT EDIT IT MANUALLY
-
-import * as React from 'react'
-import data from './Gdpr.json'
-import IconBase from '@/app/components/base/icons/IconBase'
-import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
-
-const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
-  props,
-  ref,
-) => <IconBase {...props} ref={ref} data={data as IconData} />)
-
-Icon.displayName = 'Gdpr'
-
-export default Icon
diff --git a/web/app/components/base/icons/src/public/common/Iso.json b/web/app/components/base/icons/src/public/common/Iso.json
deleted file mode 100644
index 6864a591c4..0000000000
--- a/web/app/components/base/icons/src/public/common/Iso.json
+++ /dev/null
@@ -1,121 +0,0 @@
-{
-	"icon": {
-		"type": "element",
-		"isRootNode": true,
-		"name": "svg",
-		"attributes": {
-			"fill": "none",
-			"height": "64",
-			"viewBox": "0 0 64 64",
-			"width": "64",
-			"xmlns": "http://www.w3.org/2000/svg"
-		},
-		"children": [
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m8 9.82143c0-2.6628 2.2386-4.82143 5-4.82143h38c2.7614 0 5 2.15863 5 4.82143v44.35717c0 2.6628-2.2386 4.8214-5 4.8214h-38c-2.7614 0-5-2.1586-5-4.8214z",
-					"fill": "#2a3e92"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "g",
-				"attributes": {
-					"fill": "#fff"
-				},
-				"children": [
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m43.4424 46.9899v-1.84h3.08v7.31h-2.05v-5.47z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m36.5801 48.7c0-1.1467.2333-2.05.7-2.71.4666-.66 1.2-.99 2.2-.99s1.7333.33 2.2.99c.4733.66.71 1.5633.71 2.71 0 1.16-.2334 2.07-.7 2.73-.4667.66-1.2034.99-2.21.99-1.0067 0-1.7434-.33-2.21-.99-.46-.66-.69-1.57-.69-2.73zm3.87 0c0-.6-.0634-1.0567-.19-1.37-.1267-.32-.3867-.48-.78-.48-.3934 0-.6534.16-.78.48-.1267.3133-.19.77-.19 1.37 0 .6133.06 1.08.18 1.4.1266.3133.39.47.79.47s.66-.1567.78-.47c.1266-.32.19-.7867.19-1.4z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m29.5078 48.7c0-1.1467.2333-2.05.7-2.71s1.2-.99 2.2-.99 1.7333.33 2.2.99c.4733.66.71 1.5633.71 2.71 0 1.16-.2333 2.07-.7 2.73s-1.2033.99-2.21.99-1.7433-.33-2.21-.99c-.46-.66-.69-1.57-.69-2.73zm3.87 0c0-.6-.0633-1.0567-.19-1.37-.1267-.32-.3867-.48-.78-.48s-.6533.16-.78.48c-.1267.3133-.19.77-.19 1.37 0 .6133.06 1.08.18 1.4.1267.3133.39.47.79.47s.66-.1567.78-.47c.1267-.32.19-.7867.19-1.4z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m28.4533 46.6099-2.4 5.85h-2.01l2.42-5.62h-2.85v-1.68h4.84z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m17.52 50.89c.6467-.5067 1.1767-.9433 1.59-1.31s.76-.7433 1.04-1.13c.28-.3933.42-.7667.42-1.12 0-.2133-.05-.38-.15-.5-.0933-.12-.2333-.18-.42-.18-.1933 0-.3433.0833-.45.25-.1067.16-.1567.3967-.15.71h-1.9c.02-.5933.15-1.0833.39-1.47.24-.3933.5533-.68.94-.86.3867-.1867.8167-.28 1.29-.28.82 0 1.43.2033 1.83.61s.6.9333.6 1.58c0 .6933-.2333 1.3433-.7 1.95-.46.6067-1.0367 1.15-1.73 1.63h2.5v1.59h-5.1z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"clip-rule": "evenodd",
-							"d": "m32.5672 11.0281c1.0059.0357 2.2045.2319 3.2746.5387 3.289.9417 6.1071 2.9857 8.1332 5.8894.1106.1605.2033.3103.2033.3317 0 .0286-.1605.0393-.5136.0393h-.5137l-.1641-.2319c-.453-.6278-1.3377-1.6123-1.9191-2.1296l-.2497-.2212-.61.1534c-1.0916.2676-2.2937.4852-3.4923.6314-.2711.0357-.4923.0749-.4923.0856 0 .0143.05.1855.1106.3782.1391.4601.3532 1.2306.3532 1.2877 0 .0357-.1106.0464-.4459.0464h-.4424l-.0606-.2069c-.0144-.0559-.0371-.1365-.0606-.22-.0229-.0816-.0466-.1661-.0643-.233-.1141-.3924-.2889-.9239-.3174-.956-.0143-.0179-.2497-.0143-.5208.0071-.2676.0214-1.0274.0571-1.6838.082-1.2592.0428-3.0321.0036-4.2164-.0963-.3032-.0249-.5636-.0357-.5778-.0214-.0286.0286-.2854.8312-.4067 1.2842l-.0963.3603h-.4388c-.4031 0-.4423-.0071-.4423-.0642 0-.0785.2033-.8347.3567-1.3234.0607-.1855.0963-.3496.0785-.3639-.0143-.0107-.1926-.0428-.3995-.0642-.9739-.1106-2.3865-.371-3.4673-.635l-.6671-.1641-.1891.1606c-.5743.4922-1.4982 1.5053-1.9726 2.1581l-.214.2961h-.5244c-.2925 0-.528-.0107-.528-.0214 0-.0464.5708-.8383.8918-1.245 1.3698-1.7158 3.0464-3.0642 5.0298-4.0451 1.5124-.7492 2.9893-1.1879 4.7265-1.4126.4387-.0571 1.6016-.1178 1.8727-.0999.0678.0035.3675.0178.66.0249zm-1.2702.8884c-.824.2818-1.6088 1.1736-2.3293 2.6468-.1641.3318-.3068.635-.3175.6671-.0179.0499.0107.0642.1641.0821.8846.0963 3.2033.1462 4.4661.0927 1.516-.0642 1.6587-.0749 1.6587-.1427 0-.0892-.5351-1.1629-.7634-1.5267-.4637-.7491-.9239-1.27-1.3947-1.5803-.4959-.321-.9988-.4031-1.484-.239zm-1.9937.139c-1.912.4031-3.4745 1.0487-5.1082 2.1189-.3996.2604-.528.371-.4281.371.0123 0 .1824.0368.3973.0833l.1093.0237c.8632.1962 2.6646.4922 3.2925.5422l.1355.0107.1498-.3567c.4352-1.0167 1.113-2.1261 1.6623-2.704.1213-.1284.1213-.1319.0393-.1284-.05.0036-.1605.0179-.2497.0393zm5.6573 1.2843c-.2069-.3318-.6135-.8918-.8597-1.1772l-.0035-.004c-.0584-.0664-.0945-.1073-.0853-.126.0148-.0301.1474-.0021.4938.0711l.0088.0018c1.673.3532 3.3567 1.0666 4.8764 2.069.2782.1819.5065.346.5065.3639 0 .0891-2.6576.5564-3.7812.667l-.2319.0214-.1248-.3103c-.1641-.4174-.5458-1.1665-.7991-1.5767z",
-							"fill-rule": "evenodd"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m30.8906 19.1863c.5565.0678.8704.082 2.365.0927l1.7194.0143v3.849h-3.0642l-.0214-.8383-.214-.0856c-.6136-.2426-1.4376-.3746-2.3544-.3781-.9025 0-1.3091.0784-1.6979.3388-.3996.2605-.4566.792-.1249 1.1201.346.3496.7705.4602 2.6611.6956 1.6338.2069 2.2652.3389 3.0571.6493.3817.1498.8633.4316 1.1629.6849.4423.3674.8062.9738.9738 1.6159.1249.478.1606 1.3983.0714 1.887-.1534.8348-.4673 1.434-1.0416 1.9798-.6207.5922-1.4198.981-2.522 1.2271-1.2164.2747-2.9394.3175-4.6659.1213-.5922-.0642-.9346-.0785-2.3579-.0892l-1.6694-.0142v-3.8133h3.0677v.7847l.1391.0714c.4531.2283 1.3841.3959 2.3651.4173 1.6908.0428 2.4506-.2568 2.4542-.9702 0-.2783-.0785-.4281-.3139-.5922-.3425-.2426-.824-.3531-2.3615-.5493-1.8478-.239-2.579-.4067-3.3817-.7848-1.2806-.6064-1.912-1.5303-2.0404-2.9857-.0713-.7706.0535-1.4911.3567-2.1189.6814-1.4091 2.2402-2.2188 4.6552-2.4186.4851-.0392 2.1617.0143 2.7824.0892z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"clip-rule": "evenodd",
-							"d": "m48.2307 20.9806c-.981-.9774-2.2474-1.5767-3.8383-1.8157-.3924-.0607-1.8371-.1035-2.1938-.0678-1.0631.1106-1.9228.3353-2.7182.7099-1.9049.9025-3.0892 2.579-3.3817 4.7907-.0607.4673-.0714 1.5945-.0179 2.0404.1356 1.1166.4745 2.0726 1.0238 2.9073.4531.6849 1.2913 1.4375 2.0797 1.8656 1.1665.635 2.7967.9524 4.3983.8597 3.0571-.1819 5.2295-1.6873 6.0678-4.2057.2461-.742.3496-1.4483.3496-2.39.0035-1.9655-.5743-3.4994-1.7693-4.6944zm-7.7841 3.6847c.214-1.5268.906-2.3722 2.0939-2.5541.2961-.0464.9132-.0179 1.2093.0499.5279.1284 1.0023.4566 1.2949.9025.4209.635.5957 1.4019.5957 2.6112-.0036 1.4732-.2533 2.3258-.874 2.9429-.4459.4495-.8561.6136-1.6088.6492-1.4447.0678-2.3187-.6635-2.6575-2.2259-.1071-.4994-.1356-1.78-.0535-2.3757z",
-							"fill-rule": "evenodd"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"d": "m22.2402 22.5002h-2.069v6.4209h2.069v3.1748l-8.2224-.0178-.0107-1.5803-.0071-1.5767h2.069v-6.4209l-1.0238-.0071-1.0274-.0107-.0107-1.5803-.0071-1.5767h8.2402z"
-						},
-						"children": []
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"clip-rule": "evenodd",
-							"d": "m22.5684 35.9913c-.5601-.4852-1.5518-1.5874-2.0048-2.2295l-.1177-.1677h-.5315c-.4174 0-.528.0107-.5066.0428.4495.767 1.4769 2.0012 2.2973 2.7646 2.3865 2.2188 5.1367 3.503 8.4007 3.9239.6278.0785 2.547.0892 3.2105.0178 4.0202-.4459 7.6551-2.472 10.1165-5.6432.2747-.3532.7455-1.031.7455-1.0773 0-.0143-.2318-.0286-.5136-.0286h-.5101l-.3104.4067c-.1676.2247-.4816.6064-.6956.8525-.371.4174-1.1415 1.1843-1.3127 1.2985-.0713.0464-.132.0392-.6421-.0928-.9845-.2497-2.283-.4958-3.3282-.6278-.2461-.0285-.4958-.0642-.56-.0749l-.1142-.0178.0892-.2569c.0963-.2782.4067-1.3912.4067-1.4518 0-.025-.1499-.0357-.4495-.0285l-.4495.0107-.1177.428c-.0642.2355-.1712.5957-.239.8026l-.1213.3746h-.2318c-.1249 0-.5886-.025-1.0309-.0535-1.4091-.0928-4.4126-.0607-5.5648.0571l-.1998.0214-.1498-.4745-.0158-.053c-.0769-.2586-.1768-.5945-.2268-.7746l-.0963-.346h-.4388c-.3995 0-.4423.0072-.4423.0642 0 .0785.2105.8419.3567 1.3021.0607.1962.107.3567.0999.3602-.0071.0036-.2997.0428-.6528.0857-1.1415.1391-2.2473.3424-3.3639.6171l-.5814.1427zm7.698.0141c-.9631.0535-1.623.0927-1.6337.1034-.0286.0286.4209.9525.6563 1.3591.5066.8704 1.006 1.4554 1.5196 1.7907.3354.2176.5387.289.8704.3175.3246.025.5601-.0285.9239-.214.4103-.2105 1.0024-.8062 1.4055-1.4162.2675-.4031.931-1.6694.931-1.7764 0-.0571-.0749-.0678-.7669-.1142-.585-.0392-3.4352-.0749-3.9061-.0499zm-3.7032.3211c.3603-.0499.7027-.0963.7598-.1035.0606-.0107.1676-.0142.2425-.0107l.1356.0036.1712.3924c.4424 1.0166.9881 1.9156 1.566 2.5755.107.1249.1748.2247.1534.2247s-.264-.0463-.5386-.107c-1.327-.2782-2.654-.7812-3.874-1.4625-.4709-.2604-1.409-.8633-1.4732-.9418-.0286-.0356.0998-.0749.5778-.1783.7527-.1605 1.4233-.2747 2.2795-.3924zm9.2354.0962c-.132.3353-.5743 1.2129-.8062 1.5946-.2497.4137-.5529.8347-.8169 1.1379-.1105.1284-.1926.2354-.1855.2461.0393.0393 1.2521-.2532 1.9014-.4601 1.1664-.371 2.6361-1.0987 3.6991-1.83l.3139-.2176-.189-.0428c-.956-.2212-2.1011-.4281-3.0107-.5458-.3139-.0392-.6279-.0785-.6956-.0892-.0483-.0055-.0779-.0089-.101.0018-.0367.017-.057.0694-.1095.2051z",
-							"fill-rule": "evenodd"
-						},
-						"children": []
-					}
-				]
-			}
-		]
-	},
-	"name": "Iso"
-}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Iso.tsx b/web/app/components/base/icons/src/public/common/Iso.tsx
deleted file mode 100644
index 3c24746829..0000000000
--- a/web/app/components/base/icons/src/public/common/Iso.tsx
+++ /dev/null
@@ -1,16 +0,0 @@
-// GENERATE BY script
-// DON NOT EDIT IT MANUALLY
-
-import * as React from 'react'
-import data from './Iso.json'
-import IconBase from '@/app/components/base/icons/IconBase'
-import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
-
-const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
-  props,
-  ref,
-) => <IconBase {...props} ref={ref} data={data as IconData} />)
-
-Icon.displayName = 'Iso'
-
-export default Icon
diff --git a/web/app/components/base/icons/src/public/common/Soc2.json b/web/app/components/base/icons/src/public/common/Soc2.json
deleted file mode 100644
index 34080b0adb..0000000000
--- a/web/app/components/base/icons/src/public/common/Soc2.json
+++ /dev/null
@@ -1,938 +0,0 @@
-{
-	"icon": {
-		"type": "element",
-		"isRootNode": true,
-		"name": "svg",
-		"attributes": {
-			"width": "28",
-			"height": "28",
-			"viewBox": "0 0 28 28",
-			"fill": "none",
-			"xmlns": "http://www.w3.org/2000/svg"
-		},
-		"children": [
-			{
-				"type": "element",
-				"name": "g",
-				"attributes": {
-					"id": "Group 7"
-				},
-				"children": [
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
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-									"fill": "white"
-								},
-								"children": []
-							},
-							{
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-									"fill": "white"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "path",
-								"attributes": {
-									"id": "Vector_71",
-									"d": "M17.0182 21.6246C17.0695 21.6246 17.1137 21.6094 17.1522 21.5781C17.1907 21.5468 17.2115 21.5083 17.2156 21.4618H17.3511C17.3487 21.5099 17.3319 21.5556 17.3014 21.599C17.2709 21.6423 17.23 21.6768 17.1794 21.7025C17.1289 21.7281 17.0743 21.741 17.0182 21.741C16.9042 21.741 16.8128 21.7025 16.7454 21.6262C16.678 21.55 16.6443 21.4457 16.6443 21.3133V21.2893C16.6443 21.2074 16.6595 21.1352 16.6892 21.071C16.7189 21.0076 16.7622 20.9579 16.8184 20.9226C16.8746 20.8873 16.9412 20.8696 17.0174 20.8696C17.1112 20.8696 17.1899 20.8977 17.2517 20.9539C17.3142 21.01 17.3471 21.0831 17.3511 21.1737H17.2156C17.2115 21.1192 17.1907 21.075 17.1538 21.0397C17.1169 21.0052 17.0711 20.9876 17.0166 20.9876C16.9436 20.9876 16.8874 21.0141 16.8473 21.0662C16.8072 21.1184 16.7871 21.1946 16.7871 21.2941V21.3213C16.7871 21.4184 16.8072 21.4922 16.8465 21.5444C16.8866 21.5965 16.9436 21.623 17.0174 21.623L17.0182 21.6246Z",
-									"fill": "white"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "path",
-								"attributes": {
-									"id": "Vector_72",
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-									"fill": "white"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "path",
-								"attributes": {
-									"id": "Vector_73",
-									"d": "M18.814 21.5035C18.814 21.4649 18.7995 21.4345 18.7698 21.4128C18.7402 21.3911 18.6896 21.3727 18.6174 21.3574C18.5444 21.3422 18.4874 21.3229 18.4441 21.3013C18.4016 21.2796 18.3703 21.2539 18.3494 21.2234C18.3294 21.1938 18.3189 21.1577 18.3189 21.1167C18.3189 21.0477 18.3478 20.99 18.4064 20.9426C18.4649 20.8953 18.5388 20.8712 18.6294 20.8712C18.7249 20.8712 18.8019 20.8961 18.8605 20.945C18.9199 20.994 18.9496 21.0574 18.9496 21.1336H18.8051C18.8051 21.0943 18.7883 21.0606 18.7554 21.0317C18.7217 21.0036 18.68 20.9892 18.6294 20.9892C18.5789 20.9892 18.5364 21.0004 18.5067 21.0237C18.477 21.0461 18.4625 21.0758 18.4625 21.1127C18.4625 21.1472 18.4762 21.1737 18.5035 21.1913C18.5307 21.209 18.5805 21.2258 18.6519 21.2419C18.7233 21.2579 18.7819 21.2772 18.826 21.2997C18.8701 21.3221 18.903 21.3486 18.9247 21.3799C18.9464 21.4112 18.9568 21.4489 18.9568 21.4946C18.9568 21.5692 18.9271 21.6294 18.8669 21.6752C18.8067 21.7201 18.7289 21.7434 18.6334 21.7434C18.566 21.7434 18.5067 21.7313 18.4553 21.7081C18.404 21.684 18.3631 21.6511 18.3342 21.6086C18.3053 21.566 18.29 21.5195 18.29 21.4698H18.4337C18.4361 21.5179 18.4553 21.5556 18.4914 21.5845C18.5275 21.6126 18.5749 21.627 18.6334 21.627C18.688 21.627 18.7313 21.6158 18.7642 21.5941C18.7971 21.5725 18.8132 21.5428 18.8132 21.5059L18.814 21.5035Z",
-									"fill": "white"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "path",
-								"attributes": {
-									"id": "Vector_74",
-									"d": "M19.0664 21.2988C19.0664 21.217 19.0825 21.1423 19.1145 21.0773C19.1466 21.0116 19.1916 20.961 19.2493 20.9257C19.3071 20.8904 19.3729 20.8719 19.4467 20.8719C19.5606 20.8719 19.6537 20.9113 19.7243 20.9907C19.7949 21.0701 19.8302 21.1752 19.8302 21.306V21.3164C19.8302 21.3983 19.815 21.4713 19.7837 21.5363C19.7524 21.6013 19.7075 21.6518 19.6497 21.6879C19.5911 21.724 19.5245 21.7425 19.4491 21.7425C19.3352 21.7425 19.2429 21.7032 19.1723 21.6237C19.1017 21.5443 19.0664 21.44 19.0664 21.31V21.2996V21.2988ZM19.21 21.3156C19.21 21.4087 19.2317 21.4833 19.275 21.5395C19.3183 21.5957 19.3761 21.6237 19.4483 21.6237C19.5205 21.6237 19.5791 21.5949 19.6216 21.5379C19.665 21.4809 19.6858 21.4007 19.6858 21.298C19.6858 21.2057 19.6641 21.1311 19.62 21.0741C19.5767 21.0172 19.5181 20.9883 19.4459 20.9883C19.3737 20.9883 19.3183 21.0164 19.2742 21.0725C19.2301 21.1287 19.2092 21.2097 19.2092 21.3148L19.21 21.3156Z",
-									"fill": "white"
-								},
-								"children": []
-							}
-						]
-					},
-					{
-						"type": "element",
-						"name": "path",
-						"attributes": {
-							"id": "Vector_75",
-							"d": "M25.8569 25.0298V25.1269H25.67V25.6147H25.5536V25.1269H25.3667V25.0298H25.8569ZM26.4892 25.6147L26.4675 25.2713C26.4651 25.2264 26.4651 25.1702 26.4635 25.1076H26.4571C26.4418 25.159 26.425 25.228 26.4073 25.2817L26.3022 25.6059H26.1819L26.0768 25.2729C26.0663 25.228 26.0487 25.159 26.0358 25.1076H26.0294C26.0294 25.1614 26.027 25.2175 26.0254 25.2713L26.0038 25.6147H25.8922L25.9356 25.0306H26.1097L26.2108 25.3162C26.2236 25.3612 26.234 25.4045 26.2493 25.4647H26.2517C26.2669 25.4109 26.2798 25.3612 26.2926 25.3186L26.3937 25.0306H26.5614L26.6063 25.6147H26.49H26.4892Z",
-							"fill": "#231F20"
-						},
-						"children": []
-					}
-				]
-			},
-			{
-				"type": "element",
-				"name": "defs",
-				"attributes": {},
-				"children": [
-					{
-						"type": "element",
-						"name": "linearGradient",
-						"attributes": {
-							"id": "paint0_linear_6186_11887",
-							"x1": "28",
-							"y1": "14",
-							"x2": "0",
-							"y2": "14",
-							"gradientUnits": "userSpaceOnUse"
-						},
-						"children": [
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"stop-color": "#2161AD"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.18",
-									"stop-color": "#1F69B3"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.47",
-									"stop-color": "#1C82C4"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.84",
-									"stop-color": "#16A9E1"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "1",
-									"stop-color": "#14BDEF"
-								},
-								"children": []
-							}
-						]
-					},
-					{
-						"type": "element",
-						"name": "linearGradient",
-						"attributes": {
-							"id": "paint1_linear_6186_11887",
-							"x1": "3.13623",
-							"y1": "13.9999",
-							"x2": "24.8636",
-							"y2": "13.9999",
-							"gradientUnits": "userSpaceOnUse"
-						},
-						"children": [
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"stop-color": "#2161AD"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.18",
-									"stop-color": "#1F69B3"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.47",
-									"stop-color": "#1C82C4"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "0.84",
-									"stop-color": "#16A9E1"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "1",
-									"stop-color": "#14BDEF"
-								},
-								"children": []
-							}
-						]
-					}
-				]
-			}
-		]
-	},
-	"name": "Soc2"
-}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/common/Soc2.tsx b/web/app/components/base/icons/src/public/common/Soc2.tsx
deleted file mode 100644
index 63b6a4ca65..0000000000
--- a/web/app/components/base/icons/src/public/common/Soc2.tsx
+++ /dev/null
@@ -1,16 +0,0 @@
-// GENERATE BY script
-// DON NOT EDIT IT MANUALLY
-
-import * as React from 'react'
-import data from './Soc2.json'
-import IconBase from '@/app/components/base/icons/IconBase'
-import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
-
-const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
-  props,
-  ref,
-) => <IconBase {...props} ref={ref} data={data as IconData} />)
-
-Icon.displayName = 'Soc2'
-
-export default Icon
diff --git a/web/app/components/base/icons/src/public/common/index.ts b/web/app/components/base/icons/src/public/common/index.ts
index dba789a7a6..788d275f92 100644
--- a/web/app/components/base/icons/src/public/common/index.ts
+++ b/web/app/components/base/icons/src/public/common/index.ts
@@ -1,15 +1,12 @@
 export { default as D } from './D'
 export { default as DiagonalDividingLine } from './DiagonalDividingLine'
 export { default as Dify } from './Dify'
-export { default as Gdpr } from './Gdpr'
 export { default as Github } from './Github'
 export { default as Highlight } from './Highlight'
-export { default as Iso } from './Iso'
 export { default as Line3 } from './Line3'
 export { default as Lock } from './Lock'
 export { default as MessageChatSquare } from './MessageChatSquare'
 export { default as MultiPathRetrieval } from './MultiPathRetrieval'
 export { default as NTo1Retrieval } from './NTo1Retrieval'
 export { default as Notion } from './Notion'
-export { default as Soc2 } from './Soc2'
 export { default as SparklesSoft } from './SparklesSoft'
diff --git a/web/app/components/base/icons/src/public/knowledge/Chunk.json b/web/app/components/base/icons/src/public/knowledge/Chunk.json
index 469d85d1a7..7bd5668810 100644
--- a/web/app/components/base/icons/src/public/knowledge/Chunk.json
+++ b/web/app/components/base/icons/src/public/knowledge/Chunk.json
@@ -24,7 +24,7 @@
 						"attributes": {
 							"id": "Vector",
 							"d": "M2.5 10H0V7.5H2.5V10Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -34,7 +34,7 @@
 						"attributes": {
 							"id": "Vector_2",
 							"d": "M6.25 6.25H3.75V3.75H6.25V6.25Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -44,7 +44,7 @@
 						"attributes": {
 							"id": "Vector_3",
 							"d": "M2.5 6.25H0V3.75H2.5V6.25Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -54,7 +54,7 @@
 						"attributes": {
 							"id": "Vector_4",
 							"d": "M6.25 2.5H3.75V0H6.25V2.5Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -64,7 +64,7 @@
 						"attributes": {
 							"id": "Vector_5",
 							"d": "M2.5 2.5H0V0H2.5V2.5Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -74,7 +74,7 @@
 						"attributes": {
 							"id": "Vector_6",
 							"d": "M10 2.5H7.5V0H10V2.5Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -84,7 +84,7 @@
 						"attributes": {
 							"id": "Vector_7",
 							"d": "M9.58342 7.91663H7.91675V9.58329H9.58342V7.91663Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -94,7 +94,7 @@
 						"attributes": {
 							"id": "Vector_8",
 							"d": "M9.58342 4.16663H7.91675V5.83329H9.58342V4.16663Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					},
@@ -104,7 +104,7 @@
 						"attributes": {
 							"id": "Vector_9",
 							"d": "M5.83341 7.91663H4.16675V9.58329H5.83341V7.91663Z",
-							"fill": "#676F83"
+							"fill": "currentColor"
 						},
 						"children": []
 					}
diff --git a/web/app/components/base/icons/src/public/knowledge/Collapse.json b/web/app/components/base/icons/src/public/knowledge/Collapse.json
index 66d457155d..5e3cf08ce0 100644
--- a/web/app/components/base/icons/src/public/knowledge/Collapse.json
+++ b/web/app/components/base/icons/src/public/knowledge/Collapse.json
@@ -30,7 +30,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M2.66602 11.3333H0.666016L3.33268 8.66667L5.99935 11.3333H3.99935L3.99935 14H2.66602L2.66602 11.3333Z",
-									"fill": "#354052"
+									"fill": "currentColor"
 								},
 								"children": []
 							},
@@ -39,7 +39,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M2.66602 4.66667L2.66602 2L3.99935 2L3.99935 4.66667L5.99935 4.66667L3.33268 7.33333L0.666016 4.66667L2.66602 4.66667Z",
-									"fill": "#354052"
+									"fill": "currentColor"
 								},
 								"children": []
 							},
@@ -48,7 +48,7 @@
 								"name": "path",
 								"attributes": {
 									"d": "M7.33268 2.66667H13.9993V4H7.33268V2.66667ZM7.33268 12H13.9993V13.3333H7.33268V12ZM5.99935 7.33333H13.9993V8.66667H5.99935V7.33333Z",
-									"fill": "#354052"
+									"fill": "currentColor"
 								},
 								"children": []
 							}
diff --git a/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json b/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
index 26c5cf1d4f..6f5b00eb54 100644
--- a/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
+++ b/web/app/components/base/icons/src/public/knowledge/LayoutRight2LineMod.json
@@ -24,7 +24,7 @@
 						"attributes": {
 							"id": "Vector",
 							"d": "M14.0002 2C14.3684 2 14.6668 2.29848 14.6668 2.66667V13.3333C14.6668 13.7015 14.3684 14 14.0002 14H2.00016C1.63198 14 1.3335 13.7015 1.3335 13.3333V2.66667C1.3335 2.29848 1.63198 2 2.00016 2H14.0002ZM13.3335 3.33333H2.66683V12.6667H13.3335V3.33333ZM14.0002 2.66667V13.3333H10.0002V2.66667H14.0002Z",
-							"fill": "#354052"
+							"fill": "currentColor"
 						},
 						"children": []
 					}
diff --git a/web/app/components/header/account-dropdown/compliance.tsx b/web/app/components/header/account-dropdown/compliance.tsx
deleted file mode 100644
index 74c688ea92..0000000000
--- a/web/app/components/header/account-dropdown/compliance.tsx
+++ /dev/null
@@ -1,185 +0,0 @@
-import { Menu, Transition } from '@headlessui/react'
-import { RiArrowDownCircleLine, RiArrowRightSLine, RiVerifiedBadgeLine } from '@remixicon/react'
-import type { FC, MouseEvent } from 'react'
-import { Fragment, useCallback } from 'react'
-import { useTranslation } from 'react-i18next'
-import { useMutation } from '@tanstack/react-query'
-import PremiumBadge from '../../base/premium-badge'
-import SparklesSoft from '../../base/icons/src/public/common/SparklesSoft'
-import Button from '../../base/button'
-import Soc2 from '../../base/icons/src/public/common/Soc2'
-import Iso from '../../base/icons/src/public/common/Iso'
-import Gdpr from '../../base/icons/src/public/common/Gdpr'
-import Toast from '../../base/toast'
-import Tooltip from '../../base/tooltip'
-import cn from '@/utils/classnames'
-import { useProviderContext } from '@/context/provider-context'
-import { Plan } from '@/app/components/billing/type'
-import { useModalContext } from '@/context/modal-context'
-import { getDocDownloadUrl } from '@/service/common'
-
-enum DocName {
-  'SOC2_Type_I' = 'SOC2_Type_I',
-  'SOC2_Type_II' = 'SOC2_Type_II',
-  'ISO_27001' = 'ISO_27001',
-  'GDPR' = 'GDPR',
-}
-
-type UpgradeOrDownloadProps = {
-  doc_name: DocName
-}
-const UpgradeOrDownload: FC<UpgradeOrDownloadProps> = ({ doc_name }) => {
-  const { t } = useTranslation()
-  const { plan } = useProviderContext()
-  const { setShowPricingModal, setShowAccountSettingModal } = useModalContext()
-  const isFreePlan = plan.type === Plan.sandbox
-
-  const handlePlanClick = useCallback(() => {
-    if (isFreePlan)
-      setShowPricingModal()
-    else
-      setShowAccountSettingModal({ payload: 'billing' })
-  }, [isFreePlan, setShowAccountSettingModal, setShowPricingModal])
-
-  const { isPending, mutate: downloadCompliance } = useMutation({
-    mutationKey: ['downloadCompliance', doc_name],
-    mutationFn: async () => {
-      try {
-        const ret = await getDocDownloadUrl(doc_name)
-        const a = document.createElement('a')
-        a.href = ret.url
-        a.click()
-        Toast.notify({
-          type: 'success',
-          message: t('common.operation.downloadSuccess'),
-        })
-      }
-      catch (error) {
-        console.error(error)
-        Toast.notify({
-          type: 'error',
-          message: t('common.operation.downloadFailed'),
-        })
-      }
-    },
-  })
-  const whichPlanCanDownloadCompliance = {
-    [DocName.SOC2_Type_I]: [Plan.professional, Plan.team],
-    [DocName.SOC2_Type_II]: [Plan.team],
-    [DocName.ISO_27001]: [Plan.team],
-    [DocName.GDPR]: [Plan.team, Plan.professional, Plan.sandbox],
-  }
-
-  const isCurrentPlanCanDownload = whichPlanCanDownloadCompliance[doc_name].includes(plan.type)
-  const handleDownloadClick = useCallback((e: MouseEvent<HTMLButtonElement>) => {
-    e.preventDefault()
-    downloadCompliance()
-  }, [downloadCompliance])
-  if (isCurrentPlanCanDownload) {
-    return <Button loading={isPending} disabled={isPending} size='small' variant='secondary' className='flex gap-[1px] items-center' onClick={handleDownloadClick}>
-      <RiArrowDownCircleLine className='size-[14px] text-components-button-secondary-text-disabled' />
-      <span className='px-[3px] system-xs-medium text-components-button-secondary-text'>{t('common.operation.download')}</span>
-    </Button>
-  }
-  const upgradeTooltip: Record<Plan, string> = {
-    [Plan.sandbox]: t('common.compliance.sandboxUpgradeTooltip'),
-    [Plan.professional]: t('common.compliance.professionalUpgradeTooltip'),
-    [Plan.team]: '',
-    [Plan.enterprise]: '',
-  }
-  return <Tooltip asChild={false} popupContent={upgradeTooltip[plan.type]}>
-    <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}>
-      <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
-      <div className='system-xs-medium'>
-        <span className='p-1'>
-          {t('billing.upgradeBtn.encourageShort')}
-        </span>
-      </div>
-    </PremiumBadge>
-  </Tooltip>
-}
-
-export default function Compliance() {
-  const itemClassName = `
-  flex items-center w-full h-10 pl-1 pr-2 py-1 text-text-secondary system-md-regular
-  rounded-lg hover:bg-state-base-hover gap-1
-`
-  const { t } = useTranslation()
-
-  return <Menu as="div" className="relative w-full h-full">
-    {
-      ({ open }) => (
-        <>
-          <Menu.Button className={
-            cn('flex items-center pl-3 pr-2 py-2 h-9 w-full group hover:bg-state-base-hover rounded-lg gap-1',
-              open && 'bg-state-base-hover',
-            )}>
-            <RiVerifiedBadgeLine className='flex-shrink-0 size-4 text-text-tertiary' />
-            <div className='flex-grow text-left system-md-regular text-text-secondary px-1'>{t('common.userProfile.compliance')}</div>
-            <RiArrowRightSLine className='shrink-0 size-[14px] text-text-tertiary' />
-          </Menu.Button>
-          <Transition
-            as={Fragment}
-            enter="transition ease-out duration-100"
-            enterFrom="transform opacity-0 scale-95"
-            enterTo="transform opacity-100 scale-100"
-            leave="transition ease-in duration-75"
-            leaveFrom="transform opacity-100 scale-100"
-            leaveTo="transform opacity-0 scale-95"
-          >
-            <Menu.Items
-              className={cn(
-                `absolute top-[1px] w-[337px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
-                divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none shadow-lg -translate-x-full
-              `,
-              )}
-            >
-              <div className="px-1 py-1">
-                <Menu.Item>
-                  {({ active }) => <div
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}>
-                    <Soc2 className='flex-shrink-0 size-7' />
-                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.soc2Type1')}</div>
-                    <UpgradeOrDownload doc_name={DocName.SOC2_Type_I} />
-                  </div>}
-                </Menu.Item>
-                <Menu.Item>
-                  {({ active }) => <div
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}>
-                    <Soc2 className='flex-shrink-0 size-7' />
-                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.soc2Type2')}</div>
-                    <UpgradeOrDownload doc_name={DocName.SOC2_Type_II} />
-                  </div>}
-                </Menu.Item>
-                <Menu.Item>
-                  {({ active }) => <div
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}>
-                    <Iso className='flex-shrink-0 size-7' />
-                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.iso27001')}</div>
-                    <UpgradeOrDownload doc_name={DocName.ISO_27001} />
-                  </div>}
-                </Menu.Item>
-                <Menu.Item>
-                  {({ active }) => <div
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}>
-                    <Gdpr className='flex-shrink-0 size-7' />
-                    <div className='system-md-regular flex-grow text-text-secondary px-1 truncate'>{t('common.compliance.gdpr')}</div>
-                    <UpgradeOrDownload doc_name={DocName.GDPR} />
-                  </div>}
-                </Menu.Item>
-              </div>
-            </Menu.Items>
-          </Transition>
-        </>
-      )
-    }
-  </Menu>
-}
diff --git a/web/app/components/header/account-dropdown/index.tsx b/web/app/components/header/account-dropdown/index.tsx
index 69906f11cb..d9065f3141 100644
--- a/web/app/components/header/account-dropdown/index.tsx
+++ b/web/app/components/header/account-dropdown/index.tsx
@@ -2,25 +2,24 @@
 import { useTranslation } from 'react-i18next'
 import { Fragment, useState } from 'react'
 import { useRouter } from 'next/navigation'
-import { useContext, useContextSelector } from 'use-context-selector'
-import { RiAccountCircleLine, RiArrowDownSLine, RiArrowRightUpLine, RiBookOpenLine, RiGithubLine, RiInformation2Line, RiLogoutBoxRLine, RiMap2Line, RiSettings3Line, RiStarLine } from '@remixicon/react'
+import { useContext } from 'use-context-selector'
+import { RiArrowDownSLine, RiLogoutBoxRLine } from '@remixicon/react'
 import Link from 'next/link'
 import { Menu, Transition } from '@headlessui/react'
 import Indicator from '../indicator'
 import AccountAbout from '../account-about'
-import GithubStar from '../github-star'
+import { mailToSupport } from '../utils/util'
 import WorkplaceSelector from './workplace-selector'
-import Support from './support'
-import Compliance from './compliance'
 import classNames from '@/utils/classnames'
 import I18n from '@/context/i18n'
 import Avatar from '@/app/components/base/avatar'
 import { logout } from '@/service/common'
-import AppContext, { useAppContext } from '@/context/app-context'
+import { useAppContext } from '@/context/app-context'
+import { ArrowUpRight } from '@/app/components/base/icons/src/vender/line/arrows'
 import { useModalContext } from '@/context/modal-context'
 import { LanguagesSupported } from '@/i18n/language'
-import { LicenseStatus } from '@/types/feature'
-import { IS_CLOUD_EDITION } from '@/config'
+import { useProviderContext } from '@/context/provider-context'
+import { Plan } from '@/app/components/billing/type'
 
 export type IAppSelector = {
   isMobile: boolean
@@ -28,17 +27,18 @@ export type IAppSelector = {
 
 export default function AppSelector({ isMobile }: IAppSelector) {
   const itemClassName = `
-    flex items-center w-full h-9 pl-3 pr-2 text-text-secondary system-md-regular
-    rounded-lg hover:bg-state-base-hover cursor-pointer gap-1
+    flex items-center w-full h-9 px-3 text-text-secondary system-md-regular
+    rounded-lg hover:bg-state-base-hover cursor-pointer
   `
   const router = useRouter()
   const [aboutVisible, setAboutVisible] = useState(false)
-  const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures)
 
   const { locale } = useContext(I18n)
   const { t } = useTranslation()
-  const { userProfile, langeniusVersionInfo, isCurrentWorkspaceOwner } = useAppContext()
+  const { userProfile, langeniusVersionInfo } = useAppContext()
   const { setShowAccountSettingModal } = useModalContext()
+  const { plan } = useProviderContext()
+  const canEmailSupport = plan.type === Plan.professional || plan.type === Plan.team || plan.type === Plan.enterprise
 
   const handleLogout = async () => {
     await logout({
@@ -63,15 +63,15 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                 className={`
                     inline-flex items-center
                     rounded-[20px] py-1 pr-2.5 pl-1 text-sm
-                  text-text-secondary hover:bg-state-base-hover
+                  text-gray-700 hover:bg-gray-200
                     mobile:px-1
-                    ${open && 'bg-state-base-hover'}
+                    ${open && 'bg-gray-200'}
                   `}
               >
                 <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='sm:mr-2 mr-0' size={32} />
                 {!isMobile && <>
                   {userProfile.name}
-                  <RiArrowDownSLine className="w-3 h-3 ml-1 text-text-tertiary" />
+                  <RiArrowDownSLine className="w-3 h-3 ml-1 text-gray-700" />
                 </>}
               </Menu.Button>
               <Transition
@@ -91,41 +91,70 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                   "
                 >
                   <Menu.Item disabled>
-                    <div className='flex flex-nowrap items-center pl-3 pr-2 py-[13px]'>
+                    <div className='flex flex-nowrap items-center px-4 py-[13px]'>
+                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={36} className='mr-3' />
                       <div className='grow'>
                         <div className='system-md-medium text-text-primary break-all'>{userProfile.name}</div>
                         <div className='system-xs-regular text-text-tertiary break-all'>{userProfile.email}</div>
                       </div>
-                      <Avatar avatar={userProfile.avatar_url} name={userProfile.name} size={36} className='mr-3' />
                     </div>
                   </Menu.Item>
-                  <div className='p-1'>
+                  <div className='px-1 py-1'>
                     <div className='mt-2 px-3 text-xs font-medium text-text-tertiary'>{t('common.userProfile.workspace')}</div>
                     <WorkplaceSelector />
                   </div>
-                  <div className="p-1">
+                  <div className="px-1 py-1">
                     <Menu.Item>
                       {({ active }) => <Link
-                        className={classNames(itemClassName, 'group',
+                        className={classNames(itemClassName, 'group justify-between',
                           active && 'bg-state-base-hover',
                         )}
                         href='/account'
                         target='_self' rel='noopener noreferrer'>
-                        <RiAccountCircleLine className='size-4 flex-shrink-0 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.account.account')}</div>
-                        <RiArrowRightUpLine className='size-[14px] flex-shrink-0 text-text-tertiary' />
+                        <div>{t('common.account.account')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
                       </Link>}
                     </Menu.Item>
                     <Menu.Item>
                       {({ active }) => <div className={classNames(itemClassName,
                         active && 'bg-state-base-hover',
                       )} onClick={() => setShowAccountSettingModal({ payload: 'members' })}>
-                        <RiSettings3Line className='size-4 flex-shrink-0 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.settings')}</div>
+                        <div>{t('common.userProfile.settings')}</div>
                       </div>}
                     </Menu.Item>
-                  </div>
-                  <div className='p-1'>
+                    {canEmailSupport && <Menu.Item>
+                      {({ active }) => <a
+                        className={classNames(itemClassName, 'group justify-between',
+                          active && 'bg-state-base-hover',
+                        )}
+                        href={mailToSupport(userProfile.email, plan.type, langeniusVersionInfo.current_version)}
+                        target='_blank' rel='noopener noreferrer'>
+                        <div>{t('common.userProfile.emailSupport')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                      </a>}
+                    </Menu.Item>}
+                    <Menu.Item>
+                      {({ active }) => <Link
+                        className={classNames(itemClassName, 'group justify-between',
+                          active && 'bg-state-base-hover',
+                        )}
+                        href='https://github.com/langgenius/dify/discussions/categories/feedbacks'
+                        target='_blank' rel='noopener noreferrer'>
+                        <div>{t('common.userProfile.communityFeedback')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                      </Link>}
+                    </Menu.Item>
+                    <Menu.Item>
+                      {({ active }) => <Link
+                        className={classNames(itemClassName, 'group justify-between',
+                          active && 'bg-state-base-hover',
+                        )}
+                        href='https://discord.gg/5AEfbxcd9k'
+                        target='_blank' rel='noopener noreferrer'>
+                        <div>{t('common.userProfile.community')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
+                      </Link>}
+                    </Menu.Item>
                     <Menu.Item>
                       {({ active }) => <Link
                         className={classNames(itemClassName, 'group justify-between',
@@ -135,15 +164,10 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                           locale !== LanguagesSupported[1] ? 'https://docs.dify.ai/' : `https://docs.dify.ai/v/${locale.toLowerCase()}/`
                         }
                         target='_blank' rel='noopener noreferrer'>
-                        <RiBookOpenLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.helpCenter')}</div>
-                        <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
+                        <div>{t('common.userProfile.helpCenter')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
                       </Link>}
                     </Menu.Item>
-                    <Support />
-                    {IS_CLOUD_EDITION && isCurrentWorkspaceOwner && <Compliance />}
-                  </div>
-                  <div className='p-1'>
                     <Menu.Item>
                       {({ active }) => <Link
                         className={classNames(itemClassName, 'group justify-between',
@@ -151,35 +175,18 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                         )}
                         href='https://roadmap.dify.ai'
                         target='_blank' rel='noopener noreferrer'>
-                        <RiMap2Line className='flex-shrink-0 size-4 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.roadmap')}</div>
-                        <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
+                        <div>{t('common.userProfile.roadmap')}</div>
+                        <ArrowUpRight className='hidden w-[14px] h-[14px] text-text-tertiary group-hover:flex' />
                       </Link>}
                     </Menu.Item>
-                    {systemFeatures.license.status === LicenseStatus.NONE && <Menu.Item>
-                      {({ active }) => <Link
-                        className={classNames(itemClassName, 'group justify-between',
-                          active && 'bg-state-base-hover',
-                        )}
-                        href='https://github.com/langgenius/dify/stargazers'
-                        target='_blank' rel='noopener noreferrer'>
-                        <RiGithubLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.github')}</div>
-                        <div className='flex items-center gap-0.5 px-[5px] py-[3px] border border-divider-deep rounded-[5px] bg-components-badge-bg-dimm'>
-                          <RiStarLine className='flex-shrink-0 size-3 text-text-tertiary' />
-                          <GithubStar className='system-2xs-medium-uppercase text-text-tertiary' />
-                        </div>
-                      </Link>}
-                    </Menu.Item>}
                     {
                       document?.body?.getAttribute('data-public-site-about') !== 'hide' && (
                         <Menu.Item>
                           {({ active }) => <div className={classNames(itemClassName, 'justify-between',
                             active && 'bg-state-base-hover',
                           )} onClick={() => setAboutVisible(true)}>
-                            <RiInformation2Line className='flex-shrink-0 size-4 text-text-tertiary' />
-                            <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.about')}</div>
-                            <div className='flex-shrink-0 flex items-center'>
+                            <div>{t('common.userProfile.about')}</div>
+                            <div className='flex items-center'>
                               <div className='mr-2 system-xs-regular text-text-tertiary'>{langeniusVersionInfo.current_version}</div>
                               <Indicator color={langeniusVersionInfo.current_version === langeniusVersionInfo.latest_version ? 'green' : 'orange'} />
                             </div>
@@ -191,12 +198,12 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                   <Menu.Item>
                     {({ active }) => <div className='p-1' onClick={() => handleLogout()}>
                       <div
-                        className={classNames(itemClassName, 'group justify-between',
-                          active && 'bg-state-base-hover',
-                        )}
+                        className={
+                          classNames('flex items-center justify-between h-9 px-3 rounded-lg cursor-pointer group hover:bg-state-base-hover',
+                            active && 'bg-state-base-hover')}
                       >
-                        <RiLogoutBoxRLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                        <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.logout')}</div>
+                        <div className='system-md-regular text-text-secondary'>{t('common.userProfile.logout')}</div>
+                        <RiLogoutBoxRLine className='hidden w-4 h-4 text-text-tertiary group-hover:flex' />
                       </div>
                     </div>}
                   </Menu.Item>
diff --git a/web/app/components/header/account-dropdown/support.tsx b/web/app/components/header/account-dropdown/support.tsx
deleted file mode 100644
index b306058919..0000000000
--- a/web/app/components/header/account-dropdown/support.tsx
+++ /dev/null
@@ -1,94 +0,0 @@
-import { Menu, Transition } from '@headlessui/react'
-import { RiArrowRightSLine, RiArrowRightUpLine, RiDiscordLine, RiFeedbackLine, RiMailSendLine, RiQuestionLine } from '@remixicon/react'
-import { Fragment } from 'react'
-import Link from 'next/link'
-import { useTranslation } from 'react-i18next'
-import { mailToSupport } from '../utils/util'
-import cn from '@/utils/classnames'
-import { useProviderContext } from '@/context/provider-context'
-import { Plan } from '@/app/components/billing/type'
-import { useAppContext } from '@/context/app-context'
-
-export default function Support() {
-  const itemClassName = `
-  flex items-center w-full h-9 pl-3 pr-2 text-text-secondary system-md-regular
-  rounded-lg hover:bg-state-base-hover cursor-pointer gap-1
-`
-  const { t } = useTranslation()
-  const { plan } = useProviderContext()
-  const { userProfile, langeniusVersionInfo } = useAppContext()
-  const canEmailSupport = plan.type === Plan.professional || plan.type === Plan.team || plan.type === Plan.enterprise
-
-  return <Menu as="div" className="relative w-full h-full">
-    {
-      ({ open }) => (
-        <>
-          <Menu.Button className={
-            cn('flex items-center pl-3 pr-2 py-2 h-9 w-full group hover:bg-state-base-hover rounded-lg gap-1',
-              open && 'bg-state-base-hover',
-            )}>
-            <RiQuestionLine className='flex-shrink-0 size-4 text-text-tertiary' />
-            <div className='flex-grow text-left system-md-regular text-text-secondary px-1'>{t('common.userProfile.support')}</div>
-            <RiArrowRightSLine className='shrink-0 size-[14px] text-text-tertiary' />
-          </Menu.Button>
-          <Transition
-            as={Fragment}
-            enter="transition ease-out duration-100"
-            enterFrom="transform opacity-0 scale-95"
-            enterTo="transform opacity-100 scale-100"
-            leave="transition ease-in duration-75"
-            leaveFrom="transform opacity-100 scale-100"
-            leaveTo="transform opacity-0 scale-95"
-          >
-            <Menu.Items
-              className={cn(
-                `absolute top-[1px] w-[216px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
-                divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none shadow-lg -translate-x-full
-              `,
-              )}
-            >
-              <div className="px-1 py-1">
-                {canEmailSupport && <Menu.Item>
-                  {({ active }) => <a
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}
-                    href={mailToSupport(userProfile.email, plan.type, langeniusVersionInfo.current_version)}
-                    target='_blank' rel='noopener noreferrer'>
-                    <RiMailSendLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.emailSupport')}</div>
-                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
-                  </a>}
-                </Menu.Item>}
-                <Menu.Item>
-                  {({ active }) => <Link
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}
-                    href='https://github.com/langgenius/dify/discussions/categories/feedbacks'
-                    target='_blank' rel='noopener noreferrer'>
-                    <RiFeedbackLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.communityFeedback')}</div>
-                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
-                  </Link>}
-                </Menu.Item>
-                <Menu.Item>
-                  {({ active }) => <Link
-                    className={cn(itemClassName, 'group justify-between',
-                      active && 'bg-state-base-hover',
-                    )}
-                    href='https://discord.gg/5AEfbxcd9k'
-                    target='_blank' rel='noopener noreferrer'>
-                    <RiDiscordLine className='flex-shrink-0 size-4 text-text-tertiary' />
-                    <div className='flex-grow system-md-regular text-text-secondary px-1'>{t('common.userProfile.community')}</div>
-                    <RiArrowRightUpLine className='flex-shrink-0 size-[14px] text-text-tertiary' />
-                  </Link>}
-                </Menu.Item>
-              </div>
-            </Menu.Items>
-          </Transition>
-        </>
-      )
-    }
-  </Menu>
-}
diff --git a/web/app/components/header/account-dropdown/workplace-selector/index.tsx b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
index 5188c18026..bcc72a7bb3 100644
--- a/web/app/components/header/account-dropdown/workplace-selector/index.tsx
+++ b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
@@ -9,18 +9,19 @@ import { useWorkspacesContext } from '@/context/workspace-context'
 import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows'
 import { Check } from '@/app/components/base/icons/src/vender/line/general'
 import { ToastContext } from '@/app/components/base/toast'
+import classNames from '@/utils/classnames'
 
 const itemClassName = `
-  flex items-center px-3 py-2 h-9 cursor-pointer rounded-lg
+  flex items-center px-3 py-2 h-10 cursor-pointer
 `
 const itemIconClassName = `
-  shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-text-accent
+  shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600
 `
 const itemNameClassName = `
-  grow mr-2 text-sm text-text-secondary text-left
+  grow mr-2 text-sm text-gray-700 text-left
 `
 const itemCheckClassName = `
-  shrink-0 w-4 h-4 text-text-accent
+  shrink-0 w-4 h-4 text-primary-600
 `
 
 const WorkplaceSelector = () => {
@@ -47,15 +48,15 @@ const WorkplaceSelector = () => {
       {
         ({ open }) => (
           <>
-            <Menu.Button className={cn(itemClassName,
+            <Menu.Button className={cn(
               `
-                w-full group hover:bg-state-base-hover pl-3 pr-2
+                ${itemClassName} w-full
+                group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-lg
               `,
-              open && 'bg-state-base-hover',
             )}>
               <div className={itemIconClassName}>{currentWorkspace?.name[0].toLocaleUpperCase()}</div>
-              <div className={`${itemNameClassName} truncate px-1`}>{currentWorkspace?.name}</div>
-              <ChevronRight className='shrink-0 size-[14px] text-text-tertiary' />
+              <div className={`${itemNameClassName} truncate`}>{currentWorkspace?.name}</div>
+              <ChevronRight className='shrink-0 w-[14px] h-[14px] text-gray-500' />
             </Menu.Button>
             <Transition
               as={Fragment}
@@ -69,8 +70,8 @@ const WorkplaceSelector = () => {
               <Menu.Items
                 className={cn(
                   `
-                    absolute top-[1px] w-[216px] max-h-[70vh] overflow-y-scroll z-10 bg-components-panel-bg-blur backdrop-blur-[5px] border-[0.5px] border-components-panel-border
-                    divide-y divide-divider-subtle origin-top-right rounded-xl focus:outline-none
+                    absolute top-[1px] min-w-[200px] max-h-[70vh] overflow-y-scroll z-10 bg-white border-[0.5px] border-gray-200
+                    divide-y divide-gray-100 origin-top-right rounded-xl focus:outline-none
                   `,
                   s.popup,
                 )}
@@ -79,7 +80,7 @@ const WorkplaceSelector = () => {
                   {
                     workspaces.map(workspace => (
                       <Menu.Item key={workspace.id}>
-                        {({ active }) => <div className={cn(itemClassName,
+                        {({ active }) => <div className={classNames(itemClassName,
                           active && 'bg-state-base-hover',
                         )} key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}>
                           <div className={itemIconClassName}>{workspace.name[0].toLocaleUpperCase()}</div>
diff --git a/web/app/components/header/github-star/index.tsx b/web/app/components/header/github-star/index.tsx
index 328fa8ec7c..75af9907d6 100644
--- a/web/app/components/header/github-star/index.tsx
+++ b/web/app/components/header/github-star/index.tsx
@@ -1,27 +1,50 @@
 'use client'
-import { useQuery } from '@tanstack/react-query'
-import type { FC } from 'react'
+import React, { useEffect, useState } from 'react'
+import { Github } from '@/app/components/base/icons/src/public/common'
 import type { GithubRepo } from '@/models/common'
 
 const getStar = async () => {
   const res = await fetch('https://api.github.com/repos/langgenius/dify')
 
   if (!res.ok)
-    throw new Error('Failed to fetch github star')
+    throw new Error('Failed to fetch data')
 
   return res.json()
 }
 
-const GithubStar: FC<{ className: string }> = (props) => {
-  const { isFetching, data } = useQuery<GithubRepo>({
-    queryKey: ['github-star'],
-    queryFn: getStar,
-    enabled: process.env.NODE_ENV !== 'development',
-    initialData: { stargazers_count: 6000 },
-  })
-  if (isFetching)
+const GithubStar = () => {
+  const [githubRepo, setGithubRepo] = useState<GithubRepo>({ stargazers_count: 6000 })
+  const [isFetched, setIsFetched] = useState(false)
+  useEffect(() => {
+    (async () => {
+      try {
+        if (process.env.NODE_ENV === 'development')
+          return
+
+        await setGithubRepo(await getStar())
+        setIsFetched(true)
+      }
+      catch (e) {
+
+      }
+    })()
+  }, [])
+
+  if (!isFetched)
     return null
-  return <span {...props}>{data.stargazers_count.toLocaleString()}</span>
+
+  return (
+    <a
+      href='https://github.com/langgenius/dify'
+      target='_blank' rel='noopener noreferrer'
+      className='flex items-center leading-[18px] border border-gray-200 rounded-md text-xs text-gray-700 font-semibold overflow-hidden'>
+      <div className='flex items-center px-2 py-1 bg-gray-100'>
+        <Github className='mr-1 w-[18px] h-[18px]' />
+        Star
+      </div>
+      <div className='px-2 py-1 bg-white border-l border-gray-200'>{`${githubRepo.stargazers_count}`.replace(/\B(?=(\d{3})+(?!\d))/g, ',')}</div>
+    </a>
+  )
 }
 
 export default GithubStar
diff --git a/web/app/components/header/index.tsx b/web/app/components/header/index.tsx
index 2c7c64cf63..9a32bbb37a 100644
--- a/web/app/components/header/index.tsx
+++ b/web/app/components/header/index.tsx
@@ -4,6 +4,7 @@ import Link from 'next/link'
 import { useBoolean } from 'ahooks'
 import { useSelectedLayoutSegment } from 'next/navigation'
 import { Bars3Icon } from '@heroicons/react/20/solid'
+import { useContextSelector } from 'use-context-selector'
 import HeaderBillingBtn from '../billing/header-billing-btn'
 import AccountDropdown from './account-dropdown'
 import AppNav from './app-nav'
@@ -11,13 +12,15 @@ import DatasetNav from './dataset-nav'
 import EnvNav from './env-nav'
 import ExploreNav from './explore-nav'
 import ToolsNav from './tools-nav'
+import GithubStar from './github-star'
 import LicenseNav from './license-env'
 import { WorkspaceProvider } from '@/context/workspace-context'
-import { useAppContext } from '@/context/app-context'
+import AppContext, { useAppContext } from '@/context/app-context'
 import LogoSite from '@/app/components/base/logo/logo-site'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import { useProviderContext } from '@/context/provider-context'
 import { useModalContext } from '@/context/modal-context'
+import { LicenseStatus } from '@/types/feature'
 
 const navClassName = `
   flex items-center relative mr-0 sm:mr-3 px-3 h-8 rounded-xl
@@ -27,6 +30,7 @@ const navClassName = `
 
 const Header = () => {
   const { isCurrentWorkspaceEditor, isCurrentWorkspaceDatasetOperator } = useAppContext()
+  const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures)
   const selectedSegment = useSelectedLayoutSegment()
   const media = useBreakpoints()
   const isMobile = media === MediaType.mobile
@@ -58,6 +62,7 @@ const Header = () => {
           <Link href="/apps" className='flex items-center mr-4'>
             <LogoSite className='object-contain' />
           </Link>
+          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
         </>}
       </div>
       {isMobile && (
@@ -65,6 +70,7 @@ const Header = () => {
           <Link href="/apps" className='flex items-center mr-4'>
             <LogoSite />
           </Link>
+          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
         </div>
       )}
       {!isMobile && (
diff --git a/web/config/index.ts b/web/config/index.ts
index 4a6f4fc4f7..b87c027de1 100644
--- a/web/config/index.ts
+++ b/web/config/index.ts
@@ -32,7 +32,6 @@ export const PUBLIC_API_PREFIX: string = publicApiPrefix
 
 const EDITION = process.env.NEXT_PUBLIC_EDITION || globalThis.document?.body?.getAttribute('data-public-edition') || 'SELF_HOSTED'
 export const IS_CE_EDITION = EDITION === 'SELF_HOSTED'
-export const IS_CLOUD_EDITION = EDITION === 'CLOUD'
 
 export const SUPPORT_MAIL_LOGIN = !!(process.env.NEXT_PUBLIC_SUPPORT_MAIL_LOGIN || globalThis.document?.body?.getAttribute('data-public-support-mail-login'))
 
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index 8b21451b2a..b66b1d1cb4 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -26,8 +26,6 @@ const translation = {
     lineBreak: 'Line break',
     sure: 'I\'m sure',
     download: 'Download',
-    downloadSuccess: 'Download Completed.',
-    downloadFailed: 'Download failed. Please try again later.',
     delete: 'Delete',
     deleteApp: 'Delete App',
     settings: 'Settings',
@@ -147,24 +145,13 @@ const translation = {
     emailSupport: 'Email Support',
     workspace: 'Workspace',
     createWorkspace: 'Create Workspace',
-    helpCenter: 'Docs',
-    support: 'Support',
-    compliance: 'Compliance',
+    helpCenter: 'Help',
     communityFeedback: 'Feedback',
     roadmap: 'Roadmap',
-    github: 'GitHub',
     community: 'Community',
     about: 'About',
     logout: 'Log out',
   },
-  compliance: {
-    soc2Type1: 'SOC 2 Type I Report',
-    soc2Type2: 'SOC 2 Type II Report',
-    iso27001: 'ISO 27001:2022 Certification',
-    gdpr: 'GDPR DPA',
-    sandboxUpgradeTooltip: 'Only available with a Professional or Team plan.',
-    professionalUpgradeTooltip: 'Only available with a Team plan or above.',
-  },
   settings: {
     accountGroup: 'GENERAL',
     workplaceGroup: 'WORKSPACE',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 227334c030..ea5d82b73e 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -26,8 +26,6 @@ const translation = {
     lineBreak: '换行',
     sure: '我确定',
     download: '下载',
-    downloadSuccess: '下载完毕',
-    downloadFailed: '下载失败，请稍后重试。',
     delete: '删除',
     deleteApp: '删除应用',
     settings: '设置',
@@ -148,23 +146,12 @@ const translation = {
     workspace: '工作空间',
     createWorkspace: '创建工作空间',
     helpCenter: '帮助文档',
-    support: '支持',
-    compliance: '合规',
     communityFeedback: '用户反馈',
     roadmap: '路线图',
-    github: 'GitHub',
     community: '社区',
     about: '关于',
     logout: '登出',
   },
-  compliance: {
-    soc2Type1: 'SOC 2 Type I Report',
-    soc2Type2: 'SOC 2 Type II Report',
-    iso27001: 'ISO 27001:2022 Certification',
-    gdpr: 'GDPR DPA',
-    sandboxUpgradeTooltip: '仅适用于 Professional 或 Team 版计划。',
-    professionalUpgradeTooltip: '仅适用于 Team 版计划或以上。',
-  },
   settings: {
     accountGroup: '通用',
     workplaceGroup: '工作空间',
diff --git a/web/service/common.ts b/web/service/common.ts
index bbed9993b2..5910965ec2 100644
--- a/web/service/common.ts
+++ b/web/service/common.ts
@@ -40,7 +40,7 @@ import type { SystemFeatures } from '@/types/feature'
 
 type LoginSuccess = {
   result: 'success'
-  data: { access_token: string; refresh_token: string }
+  data: { access_token: string;refresh_token: string }
 }
 type LoginFail = {
   result: 'fail'
@@ -331,23 +331,20 @@ export const uploadRemoteFileInfo = (url: string, isPublic?: boolean) => {
 export const sendEMailLoginCode = (email: string, language = 'en-US') =>
   post<CommonResponse & { data: string }>('/email-code-login', { body: { email, language } })
 
-export const emailLoginWithCode = (data: { email: string; code: string; token: string }) =>
+export const emailLoginWithCode = (data: { email: string;code: string;token: string }) =>
   post<LoginResponse>('/email-code-login/validity', { body: data })
 
 export const sendResetPasswordCode = (email: string, language = 'en-US') =>
-  post<CommonResponse & { data: string; message?: string; code?: string }>('/forgot-password', { body: { email, language } })
+  post<CommonResponse & { data: string;message?: string ;code?: string }>('/forgot-password', { body: { email, language } })
 
-export const verifyResetPasswordCode = (body: { email: string; code: string; token: string }) =>
+export const verifyResetPasswordCode = (body: { email: string;code: string;token: string }) =>
   post<CommonResponse & { is_valid: boolean }>('/forgot-password/validity', { body })
 
 export const sendDeleteAccountCode = () =>
   get<CommonResponse & { data: string }>('/account/delete/verify')
 
-export const verifyDeleteAccountCode = (body: { code: string; token: string }) =>
+export const verifyDeleteAccountCode = (body: { code: string;token: string }) =>
   post<CommonResponse & { is_valid: boolean }>('/account/delete', { body })
 
-export const submitDeleteAccountFeedback = (body: { feedback: string; email: string }) =>
+export const submitDeleteAccountFeedback = (body: { feedback: string;email: string }) =>
   post<CommonResponse>('/account/delete/feedback', { body })
-
-export const getDocDownloadUrl = (doc_name: string) =>
-  get<{ url: string }>('/compliance/download', { params: { doc_name } }, { silent: true })
diff --git a/web/themes/dark.css b/web/themes/dark.css
index 5b191d1a3d..892f48fa48 100644
--- a/web/themes/dark.css
+++ b/web/themes/dark.css
@@ -1,739 +1,737 @@
 /* Attention: Generate by code. Don't update by hand!!! */
 html[data-theme="dark"] {
-  --color-components-input-bg-normal: #ffffff14;
-  --color-components-input-text-placeholder: #c8ceda4d;
-  --color-components-input-bg-hover: #ffffff08;
-  --color-components-input-bg-active: #ffffff0d;
+  --color-components-input-bg-normal: #FFFFFF14;
+  --color-components-input-text-placeholder: #C8CEDA4D;
+  --color-components-input-bg-hover: #FFFFFF08;
+  --color-components-input-bg-active: #FFFFFF0D;
   --color-components-input-border-active: #747481;
-  --color-components-input-border-destructive: #f97066;
-  --color-components-input-text-filled: #f4f4f5;
-  --color-components-input-bg-destructive: #ffffff03;
-  --color-components-input-bg-disabled: #ffffff08;
-  --color-components-input-text-disabled: #c8ceda4d;
-  --color-components-input-text-filled-disabled: #c8ceda99;
-  --color-components-input-border-hover: #3a3a40;
-  --color-components-input-border-active-prompt-1: #36bffa;
-  --color-components-input-border-active-prompt-2: #296dff;
+  --color-components-input-border-destructive: #F97066;
+  --color-components-input-text-filled: #F4F4F5;
+  --color-components-input-bg-destructive: #FFFFFF03;
+  --color-components-input-bg-disabled: #FFFFFF08;
+  --color-components-input-text-disabled: #C8CEDA4D;
+  --color-components-input-text-filled-disabled: #C8CEDA99;
+  --color-components-input-border-hover: #3A3A40;
+  --color-components-input-border-active-prompt-1: #36BFFA;
+  --color-components-input-border-active-prompt-2: #296DFF;
 
-  --color-components-kbd-bg-gray: #ffffff08;
-  --color-components-kbd-bg-white: #ffffff1f;
+  --color-components-kbd-bg-gray: #FFFFFF08;
+  --color-components-kbd-bg-white: #FFFFFF1F;
 
-  --color-components-tooltip-bg: #18181bf2;
+  --color-components-tooltip-bg: #18181BF2;
 
-  --color-components-button-primary-text: #fffffff2;
-  --color-components-button-primary-bg: #155aef;
-  --color-components-button-primary-border: #ffffff1f;
-  --color-components-button-primary-bg-hover: #296dff;
-  --color-components-button-primary-border-hover: #ffffff33;
-  --color-components-button-primary-bg-disabled: #ffffff08;
-  --color-components-button-primary-border-disabled: #ffffff14;
-  --color-components-button-primary-text-disabled: #ffffff33;
+  --color-components-button-primary-text: #FFFFFFF2;
+  --color-components-button-primary-bg: #155AEF;
+  --color-components-button-primary-border: #FFFFFF1F;
+  --color-components-button-primary-bg-hover: #296DFF;
+  --color-components-button-primary-border-hover: #FFFFFF33;
+  --color-components-button-primary-bg-disabled: #FFFFFF08;
+  --color-components-button-primary-border-disabled: #FFFFFF14;
+  --color-components-button-primary-text-disabled: #FFFFFF33;
 
-  --color-components-button-secondary-text: #ffffffcc;
-  --color-components-button-secondary-text-disabled: #ffffff33;
-  --color-components-button-secondary-bg: #ffffff1f;
-  --color-components-button-secondary-bg-hover: #ffffff33;
-  --color-components-button-secondary-bg-disabled: #ffffff08;
-  --color-components-button-secondary-border: #ffffff14;
-  --color-components-button-secondary-border-hover: #ffffff1f;
-  --color-components-button-secondary-border-disabled: #ffffff0d;
+  --color-components-button-secondary-text: #FFFFFFCC;
+  --color-components-button-secondary-text-disabled: #FFFFFF33;
+  --color-components-button-secondary-bg: #FFFFFF1F;
+  --color-components-button-secondary-bg-hover: #FFFFFF33;
+  --color-components-button-secondary-bg-disabled: #FFFFFF08;
+  --color-components-button-secondary-border: #FFFFFF14;
+  --color-components-button-secondary-border-hover: #FFFFFF1F;
+  --color-components-button-secondary-border-disabled: #FFFFFF0D;
 
-  --color-components-button-tertiary-text: #d9d9de;
-  --color-components-button-tertiary-text-disabled: #ffffff33;
-  --color-components-button-tertiary-bg: #ffffff14;
-  --color-components-button-tertiary-bg-hover: #ffffff1f;
-  --color-components-button-tertiary-bg-disabled: #ffffff08;
+  --color-components-button-tertiary-text: #D9D9DE;
+  --color-components-button-tertiary-text-disabled: #FFFFFF33;
+  --color-components-button-tertiary-bg: #FFFFFF14;
+  --color-components-button-tertiary-bg-hover: #FFFFFF1F;
+  --color-components-button-tertiary-bg-disabled: #FFFFFF08;
 
-  --color-components-button-ghost-text: #d9d9de;
-  --color-components-button-ghost-text-disabled: #ffffff33;
-  --color-components-button-ghost-bg-hover: #c8ceda14;
+  --color-components-button-ghost-text: #D9D9DE;
+  --color-components-button-ghost-text-disabled: #FFFFFF33;
+  --color-components-button-ghost-bg-hover: #C8CEDA14;
 
-  --color-components-button-destructive-primary-text: #fffffff2;
-  --color-components-button-destructive-primary-text-disabled: #ffffff33;
-  --color-components-button-destructive-primary-bg: #d92d20;
-  --color-components-button-destructive-primary-bg-hover: #f04438;
-  --color-components-button-destructive-primary-bg-disabled: #f0443824;
-  --color-components-button-destructive-primary-border: #ffffff1f;
-  --color-components-button-destructive-primary-border-hover: #ffffff33;
-  --color-components-button-destructive-primary-border-disabled: #ffffff14;
+  --color-components-button-destructive-primary-text: #FFFFFFF2;
+  --color-components-button-destructive-primary-text-disabled: #FFFFFF33;
+  --color-components-button-destructive-primary-bg: #D92D20;
+  --color-components-button-destructive-primary-bg-hover: #F04438;
+  --color-components-button-destructive-primary-bg-disabled: #F0443824;
+  --color-components-button-destructive-primary-border: #FFFFFF1F;
+  --color-components-button-destructive-primary-border-hover: #FFFFFF33;
+  --color-components-button-destructive-primary-border-disabled: #FFFFFF14;
 
-  --color-components-button-destructive-secondary-text: #f97066;
-  --color-components-button-destructive-secondary-text-disabled: #f0443833;
-  --color-components-button-destructive-secondary-bg: #ffffff1f;
-  --color-components-button-destructive-secondary-bg-hover: #f0443824;
-  --color-components-button-destructive-secondary-bg-disabled: #f0443814;
-  --color-components-button-destructive-secondary-border: #ffffff14;
-  --color-components-button-destructive-secondary-border-hover: #ffffff1f;
-  --color-components-button-destructive-secondary-border-disabled: #f0443814;
+  --color-components-button-destructive-secondary-text: #F97066;
+  --color-components-button-destructive-secondary-text-disabled: #F0443833;
+  --color-components-button-destructive-secondary-bg: #FFFFFF1F;
+  --color-components-button-destructive-secondary-bg-hover: #F0443824;
+  --color-components-button-destructive-secondary-bg-disabled: #F0443814;
+  --color-components-button-destructive-secondary-border: #FFFFFF14;
+  --color-components-button-destructive-secondary-border-hover: #FFFFFF1F;
+  --color-components-button-destructive-secondary-border-disabled: #F0443814;
 
-  --color-components-button-destructive-tertiary-text: #f97066;
-  --color-components-button-destructive-tertiary-text-disabled: #f0443833;
-  --color-components-button-destructive-tertiary-bg: #f0443824;
-  --color-components-button-destructive-tertiary-bg-hover: #f0443840;
-  --color-components-button-destructive-tertiary-bg-disabled: #f0443814;
+  --color-components-button-destructive-tertiary-text: #F97066;
+  --color-components-button-destructive-tertiary-text-disabled: #F0443833;
+  --color-components-button-destructive-tertiary-bg: #F0443824;
+  --color-components-button-destructive-tertiary-bg-hover: #F0443840;
+  --color-components-button-destructive-tertiary-bg-disabled: #F0443814;
 
-  --color-components-button-destructive-ghost-text: #f97066;
-  --color-components-button-destructive-ghost-text-disabled: #f0443833;
-  --color-components-button-destructive-ghost-bg-hover: #f0443824;
+  --color-components-button-destructive-ghost-text: #F97066;
+  --color-components-button-destructive-ghost-text-disabled: #F0443833;
+  --color-components-button-destructive-ghost-bg-hover: #F0443824;
 
-  --color-components-button-secondary-accent-text: #ffffffcc;
-  --color-components-button-secondary-accent-text-disabled: #ffffff33;
-  --color-components-button-secondary-accent-bg: #ffffff0d;
-  --color-components-button-secondary-accent-bg-hover: #ffffff14;
-  --color-components-button-secondary-accent-bg-disabled: #ffffff08;
-  --color-components-button-secondary-accent-border: #ffffff14;
-  --color-components-button-secondary-accent-border-hover: #ffffff1f;
-  --color-components-button-secondary-accent-border-disabled: #ffffff0d;
+  --color-components-button-secondary-accent-text: #FFFFFFCC;
+  --color-components-button-secondary-accent-text-disabled: #FFFFFF33;
+  --color-components-button-secondary-accent-bg: #FFFFFF0D;
+  --color-components-button-secondary-accent-bg-hover: #FFFFFF14;
+  --color-components-button-secondary-accent-bg-disabled: #FFFFFF08;
+  --color-components-button-secondary-accent-border: #FFFFFF14;
+  --color-components-button-secondary-accent-border-hover: #FFFFFF1F;
+  --color-components-button-secondary-accent-border-disabled: #FFFFFF0D;
 
-  --color-components-button-indigo-bg: #444ce7;
-  --color-components-button-indigo-bg-hover: #6172f3;
-  --color-components-button-indigo-bg-disabled: #ffffff08;
+  --color-components-button-indigo-bg: #444CE7;
+  --color-components-button-indigo-bg-hover: #6172F3;
+  --color-components-button-indigo-bg-disabled: #FFFFFF08;
 
-  --color-components-checkbox-icon: #fffffff2;
-  --color-components-checkbox-icon-disabled: #ffffff33;
-  --color-components-checkbox-bg: #296dff;
-  --color-components-checkbox-bg-hover: #5289ff;
-  --color-components-checkbox-bg-disabled: #ffffff08;
-  --color-components-checkbox-border: #ffffff66;
-  --color-components-checkbox-border-hover: #ffffff99;
-  --color-components-checkbox-border-disabled: #ffffff03;
-  --color-components-checkbox-bg-unchecked: #ffffff08;
-  --color-components-checkbox-bg-unchecked-hover: #ffffff0d;
-  --color-components-checkbox-bg-disabled-checked: #155aef33;
+  --color-components-checkbox-icon: #FFFFFFF2;
+  --color-components-checkbox-icon-disabled: #FFFFFF33;
+  --color-components-checkbox-bg: #296DFF;
+  --color-components-checkbox-bg-hover: #5289FF;
+  --color-components-checkbox-bg-disabled: #FFFFFF08;
+  --color-components-checkbox-border: #FFFFFF66;
+  --color-components-checkbox-border-hover: #FFFFFF99;
+  --color-components-checkbox-border-disabled: #FFFFFF03;
+  --color-components-checkbox-bg-unchecked: #FFFFFF08;
+  --color-components-checkbox-bg-unchecked-hover: #FFFFFF0D;
+  --color-components-checkbox-bg-disabled-checked: #155AEF33;
 
-  --color-components-radio-border-checked: #296dff;
-  --color-components-radio-border-checked-hover: #5289ff;
-  --color-components-radio-border-checked-disabled: #155aef33;
-  --color-components-radio-bg-disabled: #ffffff08;
-  --color-components-radio-border: #ffffff66;
-  --color-components-radio-border-hover: #ffffff99;
-  --color-components-radio-border-disabled: #ffffff03;
-  --color-components-radio-bg: #ffffff00;
-  --color-components-radio-bg-hover: #ffffff0d;
+  --color-components-radio-border-checked: #296DFF;
+  --color-components-radio-border-checked-hover: #5289FF;
+  --color-components-radio-border-checked-disabled: #155AEF33;
+  --color-components-radio-bg-disabled: #FFFFFF08;
+  --color-components-radio-border: #FFFFFF66;
+  --color-components-radio-border-hover: #FFFFFF99;
+  --color-components-radio-border-disabled: #FFFFFF03;
+  --color-components-radio-bg: #FFFFFF00;
+  --color-components-radio-bg-hover: #FFFFFF0D;
 
-  --color-components-toggle-knob: #f4f4f5;
-  --color-components-toggle-knob-disabled: #ffffff33;
-  --color-components-toggle-bg: #296dff;
-  --color-components-toggle-bg-hover: #5289ff;
-  --color-components-toggle-bg-disabled: #ffffff14;
-  --color-components-toggle-bg-unchecked: #ffffff33;
-  --color-components-toggle-bg-unchecked-hover: #ffffff4d;
-  --color-components-toggle-bg-unchecked-disabled: #ffffff14;
-  --color-components-toggle-knob-hover: #fefefe;
+  --color-components-toggle-knob: #F4F4F5;
+  --color-components-toggle-knob-disabled: #FFFFFF33;
+  --color-components-toggle-bg: #296DFF;
+  --color-components-toggle-bg-hover: #5289FF;
+  --color-components-toggle-bg-disabled: #FFFFFF14;
+  --color-components-toggle-bg-unchecked: #FFFFFF33;
+  --color-components-toggle-bg-unchecked-hover: #FFFFFF4D;
+  --color-components-toggle-bg-unchecked-disabled: #FFFFFF14;
+  --color-components-toggle-knob-hover: #FEFEFE;
 
   --color-components-card-bg: #222225;
-  --color-components-card-border: #ffffff08;
-  --color-components-card-bg-alt: #27272b;
+  --color-components-card-border: #FFFFFF08;
+  --color-components-card-bg-alt: #27272B;
 
-  --color-components-menu-item-text: #c8ceda99;
-  --color-components-menu-item-text-active: #fffffff2;
-  --color-components-menu-item-text-hover: #c8cedacc;
-  --color-components-menu-item-text-active-accent: #fffffff2;
+  --color-components-menu-item-text: #C8CEDA99;
+  --color-components-menu-item-text-active: #FFFFFFF2;
+  --color-components-menu-item-text-hover: #C8CEDACC;
+  --color-components-menu-item-text-active-accent: #FFFFFFF2;
 
   --color-components-panel-bg: #222225;
-  --color-components-panel-bg-blur: #2c2c30f2;
-  --color-components-panel-border: #c8ceda24;
-  --color-components-panel-border-subtle: #c8ceda14;
+  --color-components-panel-bg-blur: #2C2C30F2;
+  --color-components-panel-border: #C8CEDA24;
+  --color-components-panel-border-subtle: #C8CEDA14;
   --color-components-panel-gradient-2: #222225;
-  --color-components-panel-gradient-1: #27272b;
+  --color-components-panel-gradient-1: #27272B;
   --color-components-panel-bg-alt: #222225;
-  --color-components-panel-on-panel-item-bg: #27272b;
-  --color-components-panel-on-panel-item-bg-hover: #3a3a40;
-  --color-components-panel-on-panel-item-bg-alt: #3a3a40;
-  --color-components-panel-on-panel-item-bg-transparent: #2c2c30f2;
-  --color-components-panel-on-panel-item-bg-hover-transparent: #3a3a4000;
-  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #fffbfa00;
+  --color-components-panel-on-panel-item-bg: #27272B;
+  --color-components-panel-on-panel-item-bg-hover: #3A3A40;
+  --color-components-panel-on-panel-item-bg-alt: #3A3A40;
+  --color-components-panel-on-panel-item-bg-transparent: #2C2C30F2;
+  --color-components-panel-on-panel-item-bg-hover-transparent: #3A3A4000;
+  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #FFFBFA00;
 
   --color-components-panel-bg-transparent: #22222500;
 
-  --color-components-main-nav-nav-button-text: #c8ceda99;
-  --color-components-main-nav-nav-button-text-active: #f4f4f5;
-  --color-components-main-nav-nav-button-bg: #ffffff00;
-  --color-components-main-nav-nav-button-bg-active: #c8ceda24;
-  --color-components-main-nav-nav-button-border: #ffffff14;
-  --color-components-main-nav-nav-button-bg-hover: #c8ceda0a;
+  --color-components-main-nav-nav-button-text: #C8CEDA99;
+  --color-components-main-nav-nav-button-text-active: #F4F4F5;
+  --color-components-main-nav-nav-button-bg: #FFFFFF00;
+  --color-components-main-nav-nav-button-bg-active: #C8CEDA24;
+  --color-components-main-nav-nav-button-border: #FFFFFF14;
+  --color-components-main-nav-nav-button-bg-hover: #C8CEDA0A;
 
-  --color-components-main-nav-nav-user-border: #ffffff0d;
+  --color-components-main-nav-nav-user-border: #FFFFFF0D;
 
-  --color-components-slider-knob: #f4f4f5;
-  --color-components-slider-knob-hover: #fefefe;
-  --color-components-slider-knob-disabled: #ffffff33;
-  --color-components-slider-range: #296dff;
-  --color-components-slider-track: #ffffff33;
-  --color-components-slider-knob-border-hover: #1018284d;
+  --color-components-slider-knob: #F4F4F5;
+  --color-components-slider-knob-hover: #FEFEFE;
+  --color-components-slider-knob-disabled: #FFFFFF33;
+  --color-components-slider-range: #296DFF;
+  --color-components-slider-track: #FFFFFF33;
+  --color-components-slider-knob-border-hover: #1018284D;
   --color-components-slider-knob-border: #10182833;
 
-  --color-components-segmented-control-item-active-bg: #ffffff14;
-  --color-components-segmented-control-item-active-border: #c8ceda14;
-  --color-components-segmented-control-bg-normal: #18181bb3;
-  --color-components-segmented-control-item-active-accent-bg: #155aef33;
-  --color-components-segmented-control-item-active-accent-border: #155aef4d;
+  --color-components-segmented-control-item-active-bg: #FFFFFF14;
+  --color-components-segmented-control-item-active-border: #C8CEDA14;
+  --color-components-segmented-control-bg-normal: #18181BB2;
+  --color-components-segmented-control-item-active-accent-bg: #155AEF33;
+  --color-components-segmented-control-item-active-accent-border: #155AEF4D;
 
-  --color-components-option-card-option-bg: #c8ceda0a;
-  --color-components-option-card-option-selected-bg: #ffffff0d;
-  --color-components-option-card-option-selected-border: #5289ff;
-  --color-components-option-card-option-border: #c8ceda33;
-  --color-components-option-card-option-bg-hover: #c8ceda24;
-  --color-components-option-card-option-border-hover: #c8ceda4d;
+  --color-components-option-card-option-bg: #C8CEDA0A;
+  --color-components-option-card-option-selected-bg: #FFFFFF0D;
+  --color-components-option-card-option-selected-border: #5289FF;
+  --color-components-option-card-option-border: #C8CEDA33;
+  --color-components-option-card-option-bg-hover: #C8CEDA24;
+  --color-components-option-card-option-border-hover: #C8CEDA4D;
 
-  --color-components-tab-active: #296dff;
+  --color-components-tab-active: #296DFF;
 
-  --color-components-badge-white-to-dark: #18181bcc;
-  --color-components-badge-status-light-success-bg: #17b26a;
-  --color-components-badge-status-light-success-border-inner: #47cd89;
-  --color-components-badge-status-light-success-halo: #17b26a4d;
+  --color-components-badge-white-to-dark: #18181BCC;
+  --color-components-badge-status-light-success-bg: #17B26A;
+  --color-components-badge-status-light-success-border-inner: #47CD89;
+  --color-components-badge-status-light-success-halo: #17B26A4D;
 
   --color-components-badge-status-light-border-outer: #222225;
-  --color-components-badge-status-light-high-light: #ffffff4d;
-  --color-components-badge-status-light-warning-bg: #f79009;
-  --color-components-badge-status-light-warning-border-inner: #fdb022;
-  --color-components-badge-status-light-warning-halo: #f790094d;
+  --color-components-badge-status-light-high-light: #FFFFFF4D;
+  --color-components-badge-status-light-warning-bg: #F79009;
+  --color-components-badge-status-light-warning-border-inner: #FDB022;
+  --color-components-badge-status-light-warning-halo: #F790094D;
 
-  --color-components-badge-status-light-error-bg: #f04438;
-  --color-components-badge-status-light-error-border-inner: #f97066;
-  --color-components-badge-status-light-error-halo: #f044384d;
+  --color-components-badge-status-light-error-bg: #F04438;
+  --color-components-badge-status-light-error-border-inner: #F97066;
+  --color-components-badge-status-light-error-halo: #F044384D;
 
-  --color-components-badge-status-light-normal-bg: #0ba5ec;
-  --color-components-badge-status-light-normal-border-inner: #36bffa;
-  --color-components-badge-status-light-normal-halo: #0ba5ec4d;
+  --color-components-badge-status-light-normal-bg: #0BA5EC;
+  --color-components-badge-status-light-normal-border-inner: #36BFFA;
+  --color-components-badge-status-light-normal-halo: #0BA5EC4D;
 
-  --color-components-badge-status-light-disabled-bg: #676f83;
-  --color-components-badge-status-light-disabled-border-inner: #98a2b2;
-  --color-components-badge-status-light-disabled-halo: #c8ceda14;
+  --color-components-badge-status-light-disabled-bg: #676F83;
+  --color-components-badge-status-light-disabled-border-inner: #98A2B2;
+  --color-components-badge-status-light-disabled-halo: #C8CEDA14;
 
-  --color-components-badge-bg-green-soft: #17b26a24;
-  --color-components-badge-bg-orange-soft: #f7900924;
-  --color-components-badge-bg-red-soft: #f0443824;
-  --color-components-badge-bg-blue-light-soft: #0ba5ec24;
-  --color-components-badge-bg-gray-soft: #c8ceda14;
-  --color-components-badge-bg-dimm: #ffffff08;
+  --color-components-badge-bg-green-soft: #17B26A24;
+  --color-components-badge-bg-orange-soft: #F7900924;
+  --color-components-badge-bg-red-soft: #F0443824;
+  --color-components-badge-bg-blue-light-soft: #0BA5EC24;
+  --color-components-badge-bg-gray-soft: #C8CEDA14;
 
-  --color-components-chart-line: #5289ff;
-  --color-components-chart-area-1: #155aef33;
-  --color-components-chart-area-2: #155aef0a;
-  --color-components-chart-current-1: #5289ff;
-  --color-components-chart-current-2: #155aef4d;
-  --color-components-chart-bg: #18181bf2;
+  --color-components-chart-line: #5289FF;
+  --color-components-chart-area-1: #155AEF33;
+  --color-components-chart-area-2: #155AEF0A;
+  --color-components-chart-current-1: #5289FF;
+  --color-components-chart-current-2: #155AEF4D;
+  --color-components-chart-bg: #18181BF2;
 
   --color-components-actionbar-bg: #222225;
-  --color-components-actionbar-border: #c8ceda14;
-  --color-components-actionbar-bg-accent: #27272b;
-  --color-components-actionbar-border-accent: #5289ff;
+  --color-components-actionbar-border: #C8CEDA14;
+  --color-components-actionbar-bg-accent: #27272B;
+  --color-components-actionbar-border-accent: #5289FF;
 
-  --color-components-dropzone-bg-alt: #18181bcc;
-  --color-components-dropzone-bg: #18181b66;
-  --color-components-dropzone-bg-accent: #155aef33;
-  --color-components-dropzone-border: #c8ceda24;
-  --color-components-dropzone-border-alt: #c8ceda33;
-  --color-components-dropzone-border-accent: #84abff;
+  --color-components-dropzone-bg-alt: #18181BCC;
+  --color-components-dropzone-bg: #18181B66;
+  --color-components-dropzone-bg-accent: #155AEF33;
+  --color-components-dropzone-border: #C8CEDA24;
+  --color-components-dropzone-border-alt: #C8CEDA33;
+  --color-components-dropzone-border-accent: #84ABFF;
 
-  --color-components-progress-brand-progress: #5289ff;
-  --color-components-progress-brand-border: #5289ff;
-  --color-components-progress-brand-bg: #155aef0a;
+  --color-components-progress-brand-progress: #5289FF;
+  --color-components-progress-brand-border: #5289FF;
+  --color-components-progress-brand-bg: #155AEF0A;
 
-  --color-components-progress-white-progress: #ffffff;
-  --color-components-progress-white-border: #fffffff2;
-  --color-components-progress-white-bg: #ffffff03;
+  --color-components-progress-white-progress: #FFFFFF;
+  --color-components-progress-white-border: #FFFFFFF2;
+  --color-components-progress-white-bg: #FFFFFF03;
 
-  --color-components-progress-gray-progress: #98a2b2;
-  --color-components-progress-gray-border: #98a2b2;
-  --color-components-progress-gray-bg: #c8ceda05;
+  --color-components-progress-gray-progress: #98A2B2;
+  --color-components-progress-gray-border: #98A2B2;
+  --color-components-progress-gray-bg: #C8CEDA05;
 
-  --color-components-progress-warning-progress: #fdb022;
-  --color-components-progress-warning-border: #fdb022;
-  --color-components-progress-warning-bg: #f790090a;
+  --color-components-progress-warning-progress: #FDB022;
+  --color-components-progress-warning-border: #FDB022;
+  --color-components-progress-warning-bg: #F790090A;
 
-  --color-components-progress-error-progress: #f97066;
-  --color-components-progress-error-border: #f97066;
-  --color-components-progress-error-bg: #f044380a;
+  --color-components-progress-error-progress: #F97066;
+  --color-components-progress-error-border: #F97066;
+  --color-components-progress-error-bg: #F044380A;
 
-  --color-components-chat-input-audio-bg: #155aef33;
-  --color-components-chat-input-audio-wave-default: #c8ceda24;
-  --color-components-chat-input-bg-mask-1: #18181b0a;
-  --color-components-chat-input-bg-mask-2: #18181b99;
-  --color-components-chat-input-border: #c8ceda33;
-  --color-components-chat-input-audio-wave-active: #84abff;
-  --color-components-chat-input-audio-bg-alt: #18181be6;
+  --color-components-chat-input-audio-bg: #155AEF33;
+  --color-components-chat-input-audio-wave-default: #C8CEDA24;
+  --color-components-chat-input-bg-mask-1: #18181B0A;
+  --color-components-chat-input-bg-mask-2: #18181B99;
+  --color-components-chat-input-border: #C8CEDA33;
+  --color-components-chat-input-audio-wave-active: #84ABFF;
+  --color-components-chat-input-audio-bg-alt: #18181BE5;
 
-  --color-components-avatar-shape-fill-stop-0: #fffffff2;
-  --color-components-avatar-shape-fill-stop-100: #ffffffcc;
+  --color-components-avatar-shape-fill-stop-0: #FFFFFFF2;
+  --color-components-avatar-shape-fill-stop-100: #FFFFFFCC;
 
-  --color-components-avatar-bg-mask-stop-0: #ffffff33;
-  --color-components-avatar-bg-mask-stop-100: #ffffff08;
+  --color-components-avatar-bg-mask-stop-0: #FFFFFF33;
+  --color-components-avatar-bg-mask-stop-100: #FFFFFF08;
 
   --color-components-avatar-default-avatar-bg: #222225;
-  --color-components-avatar-mask-darkmode-dimmed: #0000001f;
+  --color-components-avatar-mask-darkmode-dimmed: #0000001F;
 
-  --color-components-label-gray: #c8ceda24;
+  --color-components-label-gray: #C8CEDA24;
 
-  --color-components-premium-badge-blue-bg-stop-0: #5289ff;
-  --color-components-premium-badge-blue-bg-stop-100: #296dff;
-  --color-components-premium-badge-blue-stroke-stop-0: #ffffff33;
-  --color-components-premium-badge-blue-stroke-stop-100: #296dff;
-  --color-components-premium-badge-blue-text-stop-0: #eff4ff;
-  --color-components-premium-badge-blue-text-stop-100: #b2caff;
-  --color-components-premium-badge-blue-glow: #004aeb;
-  --color-components-premium-badge-blue-bg-stop-0-hover: #84abff;
-  --color-components-premium-badge-blue-bg-stop-100-hover: #004aeb;
-  --color-components-premium-badge-blue-glow-hover: #d1e0ff;
-  --color-components-premium-badge-blue-stroke-stop-0-hover: #ffffff80;
-  --color-components-premium-badge-blue-stroke-stop-100-hover: #296dff;
+  --color-components-premium-badge-blue-bg-stop-0: #5289FF;
+  --color-components-premium-badge-blue-bg-stop-100: #296DFF;
+  --color-components-premium-badge-blue-stroke-stop-0: #FFFFFF33;
+  --color-components-premium-badge-blue-stroke-stop-100: #296DFF;
+  --color-components-premium-badge-blue-text-stop-0: #EFF4FF;
+  --color-components-premium-badge-blue-text-stop-100: #B2CAFF;
+  --color-components-premium-badge-blue-glow: #004AEB;
+  --color-components-premium-badge-blue-bg-stop-0-hover: #84ABFF;
+  --color-components-premium-badge-blue-bg-stop-100-hover: #004AEB;
+  --color-components-premium-badge-blue-glow-hover: #D1E0FF;
+  --color-components-premium-badge-blue-stroke-stop-0-hover: #FFFFFF80;
+  --color-components-premium-badge-blue-stroke-stop-100-hover: #296DFF;
 
-  --color-components-premium-badge-highlight-stop-0: #ffffff1f;
-  --color-components-premium-badge-highlight-stop-100: #ffffff33;
-  --color-components-premium-badge-indigo-bg-stop-0: #6172f3;
-  --color-components-premium-badge-indigo-bg-stop-100: #3538cd;
-  --color-components-premium-badge-indigo-stroke-stop-0: #ffffff33;
-  --color-components-premium-badge-indigo-stroke-stop-100: #444ce7;
-  --color-components-premium-badge-indigo-text-stop-0: #eef4ff;
-  --color-components-premium-badge-indigo-text-stop-100: #c7d7fe;
-  --color-components-premium-badge-indigo-glow: #3538cd;
-  --color-components-premium-badge-indigo-glow-hover: #e0eaff;
-  --color-components-premium-badge-indigo-bg-stop-0-hover: #a4bcfd;
-  --color-components-premium-badge-indigo-bg-stop-100-hover: #3538cd;
-  --color-components-premium-badge-indigo-stroke-stop-0-hover: #ffffff80;
-  --color-components-premium-badge-indigo-stroke-stop-100-hover: #444ce7;
+  --color-components-premium-badge-highlight-stop-0: #FFFFFF1F;
+  --color-components-premium-badge-highlight-stop-100: #FFFFFF33;
+  --color-components-premium-badge-indigo-bg-stop-0: #6172F3;
+  --color-components-premium-badge-indigo-bg-stop-100: #3538CD;
+  --color-components-premium-badge-indigo-stroke-stop-0: #FFFFFF33;
+  --color-components-premium-badge-indigo-stroke-stop-100: #444CE7;
+  --color-components-premium-badge-indigo-text-stop-0: #EEF4FF;
+  --color-components-premium-badge-indigo-text-stop-100: #C7D7FE;
+  --color-components-premium-badge-indigo-glow: #3538CD;
+  --color-components-premium-badge-indigo-glow-hover: #E0EAFF;
+  --color-components-premium-badge-indigo-bg-stop-0-hover: #A4BCFD;
+  --color-components-premium-badge-indigo-bg-stop-100-hover: #3538CD;
+  --color-components-premium-badge-indigo-stroke-stop-0-hover: #FFFFFF80;
+  --color-components-premium-badge-indigo-stroke-stop-100-hover: #444CE7;
 
-  --color-components-premium-badge-grey-bg-stop-0: #676f83;
+  --color-components-premium-badge-grey-bg-stop-0: #676F83;
   --color-components-premium-badge-grey-bg-stop-100: #495464;
-  --color-components-premium-badge-grey-stroke-stop-0: #ffffff1f;
+  --color-components-premium-badge-grey-stroke-stop-0: #FFFFFF1F;
   --color-components-premium-badge-grey-stroke-stop-100: #495464;
-  --color-components-premium-badge-grey-text-stop-0: #f9fafb;
-  --color-components-premium-badge-grey-text-stop-100: #e9ebf0;
+  --color-components-premium-badge-grey-text-stop-0: #F9FAFB;
+  --color-components-premium-badge-grey-text-stop-100: #E9EBF0;
   --color-components-premium-badge-grey-glow: #354052;
-  --color-components-premium-badge-grey-glow-hover: #f2f4f7;
-  --color-components-premium-badge-grey-bg-stop-0-hover: #98a2b2;
+  --color-components-premium-badge-grey-glow-hover: #F2F4F7;
+  --color-components-premium-badge-grey-bg-stop-0-hover: #98A2B2;
   --color-components-premium-badge-grey-bg-stop-100-hover: #354052;
-  --color-components-premium-badge-grey-stroke-stop-0-hover: #ffffff80;
-  --color-components-premium-badge-grey-stroke-stop-100-hover: #676f83;
+  --color-components-premium-badge-grey-stroke-stop-0-hover: #FFFFFF80;
+  --color-components-premium-badge-grey-stroke-stop-100-hover: #676F83;
 
-  --color-components-premium-badge-orange-bg-stop-0: #ff692e;
-  --color-components-premium-badge-orange-bg-stop-100: #e04f16;
-  --color-components-premium-badge-orange-stroke-stop-0: #ffffff33;
-  --color-components-premium-badge-orange-stroke-stop-100: #ff4405;
-  --color-components-premium-badge-orange-text-stop-0: #fef6ee;
-  --color-components-premium-badge-orange-text-stop-100: #f9dbaf;
-  --color-components-premium-badge-orange-glow: #b93815;
-  --color-components-premium-badge-orange-glow-hover: #fdead7;
-  --color-components-premium-badge-orange-bg-stop-0-hover: #ff692e;
-  --color-components-premium-badge-orange-bg-stop-100-hover: #b93815;
-  --color-components-premium-badge-orange-stroke-stop-0-hover: #ffffff80;
-  --color-components-premium-badge-orange-stroke-stop-100-hover: #ff4405;
+  --color-components-premium-badge-orange-bg-stop-0: #FF692E;
+  --color-components-premium-badge-orange-bg-stop-100: #E04F16;
+  --color-components-premium-badge-orange-stroke-stop-0: #FFFFFF33;
+  --color-components-premium-badge-orange-stroke-stop-100: #FF4405;
+  --color-components-premium-badge-orange-text-stop-0: #FEF6EE;
+  --color-components-premium-badge-orange-text-stop-100: #F9DBAF;
+  --color-components-premium-badge-orange-glow: #B93815;
+  --color-components-premium-badge-orange-glow-hover: #FDEAD7;
+  --color-components-premium-badge-orange-bg-stop-0-hover: #FF692E;
+  --color-components-premium-badge-orange-bg-stop-100-hover: #B93815;
+  --color-components-premium-badge-orange-stroke-stop-0-hover: #FFFFFF80;
+  --color-components-premium-badge-orange-stroke-stop-100-hover: #FF4405;
 
-  --color-components-progress-bar-bg: #c8ceda14;
-  --color-components-progress-bar-progress: #c8ceda24;
-  --color-components-progress-bar-border: #ffffff08;
-  --color-components-progress-bar-progress-solid: #fffffff2;
-  --color-components-progress-bar-progress-highlight: #c8ceda33;
+  --color-components-progress-bar-bg: #C8CEDA14;
+  --color-components-progress-bar-progress: #C8CEDA24;
+  --color-components-progress-bar-border: #FFFFFF08;
+  --color-components-progress-bar-progress-solid: #FFFFFFF2;
+  --color-components-progress-bar-progress-highlight: #C8CEDA33;
 
-  --color-components-icon-bg-red-solid: #d92d20;
-  --color-components-icon-bg-rose-solid: #e31b54;
-  --color-components-icon-bg-pink-solid: #dd2590;
-  --color-components-icon-bg-orange-dark-solid: #ff4405;
-  --color-components-icon-bg-yellow-solid: #eaaa08;
-  --color-components-icon-bg-green-solid: #4ca30d;
-  --color-components-icon-bg-teal-solid: #0e9384;
-  --color-components-icon-bg-blue-light-solid: #0ba5ec;
-  --color-components-icon-bg-blue-solid: #155aef;
-  --color-components-icon-bg-indigo-solid: #444ce7;
-  --color-components-icon-bg-violet-solid: #7839ee;
-  --color-components-icon-bg-midnight-solid: #5d698d;
-  --color-components-icon-bg-rose-soft: #f63d6833;
-  --color-components-icon-bg-pink-soft: #ee46bc33;
-  --color-components-icon-bg-orange-dark-soft: #ff440533;
-  --color-components-icon-bg-yellow-soft: #eaaa0833;
-  --color-components-icon-bg-green-soft: #66c61c33;
-  --color-components-icon-bg-teal-soft: #15b79e33;
-  --color-components-icon-bg-blue-light-soft: #0ba5ec33;
-  --color-components-icon-bg-blue-soft: #155aef33;
-  --color-components-icon-bg-indigo-soft: #6172f333;
-  --color-components-icon-bg-violet-soft: #875bf733;
-  --color-components-icon-bg-midnight-soft: #828dad33;
-  --color-components-icon-bg-red-soft: #f0443833;
-  --color-components-icon-bg-orange-solid: #f79009;
-  --color-components-icon-bg-orange-soft: #f7900933;
+  --color-components-icon-bg-red-solid: #D92D20;
+  --color-components-icon-bg-rose-solid: #E31B54;
+  --color-components-icon-bg-pink-solid: #DD2590;
+  --color-components-icon-bg-orange-dark-solid: #FF4405;
+  --color-components-icon-bg-yellow-solid: #EAAA08;
+  --color-components-icon-bg-green-solid: #4CA30D;
+  --color-components-icon-bg-teal-solid: #0E9384;
+  --color-components-icon-bg-blue-light-solid: #0BA5EC;
+  --color-components-icon-bg-blue-solid: #155AEF;
+  --color-components-icon-bg-indigo-solid: #444CE7;
+  --color-components-icon-bg-violet-solid: #7839EE;
+  --color-components-icon-bg-midnight-solid: #5D698D;
+  --color-components-icon-bg-rose-soft: #F63D6833;
+  --color-components-icon-bg-pink-soft: #EE46BC33;
+  --color-components-icon-bg-orange-dark-soft: #FF440533;
+  --color-components-icon-bg-yellow-soft: #EAAA0833;
+  --color-components-icon-bg-green-soft: #66C61C33;
+  --color-components-icon-bg-teal-soft: #15B79E33;
+  --color-components-icon-bg-blue-light-soft: #0BA5EC33;
+  --color-components-icon-bg-blue-soft: #155AEF33;
+  --color-components-icon-bg-indigo-soft: #6172F333;
+  --color-components-icon-bg-violet-soft: #875BF733;
+  --color-components-icon-bg-midnight-soft: #828DAD33;
+  --color-components-icon-bg-red-soft: #F0443833;
+  --color-components-icon-bg-orange-solid: #F79009;
+  --color-components-icon-bg-orange-soft: #F7900933;
 
-  --color-text-primary: #fbfbfc;
-  --color-text-secondary: #d9d9de;
-  --color-text-tertiary: #c8ceda99;
-  --color-text-quaternary: #c8ceda66;
-  --color-text-destructive: #f97066;
-  --color-text-success: #17b26a;
-  --color-text-warning: #f79009;
-  --color-text-destructive-secondary: #f97066;
-  --color-text-success-secondary: #47cd89;
-  --color-text-warning-secondary: #fdb022;
-  --color-text-accent: #5289ff;
-  --color-text-primary-on-surface: #fffffff2;
-  --color-text-placeholder: #c8ceda4d;
-  --color-text-disabled: #c8ceda4d;
-  --color-text-accent-secondary: #84abff;
-  --color-text-accent-light-mode-only: #d9d9de;
-  --color-text-text-selected: #155aef4d;
-  --color-text-secondary-on-surface: #ffffffe6;
-  --color-text-logo-text: #e9e9ec;
-  --color-text-empty-state-icon: #c8ceda4d;
-  --color-text-inverted: #ffffff;
-  --color-text-inverted-dimmed: #ffffffcc;
+  --color-text-primary: #FBFBFC;
+  --color-text-secondary: #D9D9DE;
+  --color-text-tertiary: #C8CEDA99;
+  --color-text-quaternary: #C8CEDA66;
+  --color-text-destructive: #F97066;
+  --color-text-success: #17B26A;
+  --color-text-warning: #F79009;
+  --color-text-destructive-secondary: #F97066;
+  --color-text-success-secondary: #47CD89;
+  --color-text-warning-secondary: #FDB022;
+  --color-text-accent: #5289FF;
+  --color-text-primary-on-surface: #FFFFFFF2;
+  --color-text-placeholder: #C8CEDA4D;
+  --color-text-disabled: #C8CEDA4D;
+  --color-text-accent-secondary: #84ABFF;
+  --color-text-accent-light-mode-only: #D9D9DE;
+  --color-text-text-selected: #155AEF4D;
+  --color-text-secondary-on-surface: #FFFFFFE5;
+  --color-text-logo-text: #E9E9EC;
+  --color-text-empty-state-icon: #C8CEDA4D;
+  --color-text-inverted: #FFFFFF;
+  --color-text-inverted-dimmed: #FFFFFFCC;
 
-  --color-background-body: #1d1d20;
+  --color-background-body: #1D1D20;
   --color-background-default-subtle: #222225;
-  --color-background-neutral-subtle: #1d1d20;
-  --color-background-sidenav-bg: #27272aeb;
+  --color-background-neutral-subtle: #1D1D20;
+  --color-background-sidenav-bg: #27272AEB;
   --color-background-default: #222225;
-  --color-background-soft: #18181b40;
+  --color-background-soft: #18181B40;
   --color-background-gradient-bg-fill-chat-bg-1: #222225;
-  --color-background-gradient-bg-fill-chat-bg-2: #1d1d20;
-  --color-background-gradient-bg-fill-chat-bubble-bg-1: #c8ceda14;
-  --color-background-gradient-bg-fill-chat-bubble-bg-2: #c8ceda05;
-  --color-background-gradient-bg-fill-debug-bg-1: #c8ceda14;
-  --color-background-gradient-bg-fill-debug-bg-2: #18181b0a;
+  --color-background-gradient-bg-fill-chat-bg-2: #1D1D20;
+  --color-background-gradient-bg-fill-chat-bubble-bg-1: #C8CEDA14;
+  --color-background-gradient-bg-fill-chat-bubble-bg-2: #C8CEDA05;
+  --color-background-gradient-bg-fill-debug-bg-1: #C8CEDA14;
+  --color-background-gradient-bg-fill-debug-bg-2: #18181B0A;
 
-  --color-background-gradient-mask-gray: #18181b14;
+  --color-background-gradient-mask-gray: #18181B14;
   --color-background-gradient-mask-transparent: #00000000;
-  --color-background-gradient-mask-input-clear-2: #393a3e00;
-  --color-background-gradient-mask-input-clear-1: #393a3e;
+  --color-background-gradient-mask-input-clear-2: #393A3E00;
+  --color-background-gradient-mask-input-clear-1: #393A3E;
   --color-background-gradient-mask-transparent-dark: #00000000;
-  --color-background-gradient-mask-side-panel-2: #18181be6;
-  --color-background-gradient-mask-side-panel-1: #18181b0a;
+  --color-background-gradient-mask-side-panel-2: #18181BE5;
+  --color-background-gradient-mask-side-panel-1: #18181B0A;
 
-  --color-background-default-burn: #1d1d20;
-  --color-background-overlay-fullscreen: #27272af7;
-  --color-background-default-lighter: #c8ceda0a;
-  --color-background-section: #18181b66;
-  --color-background-interaction-from-bg-1: #18181b66;
-  --color-background-interaction-from-bg-2: #18181b24;
-  --color-background-section-burn: #18181b99;
-  --color-background-default-dodge: #3a3a40;
-  --color-background-overlay: #18181bcc;
-  --color-background-default-dimmed: #27272b;
-  --color-background-default-hover: #27272b;
-  --color-background-overlay-alt: #18181b66;
-  --color-background-surface-white: #ffffffe6;
-  --color-background-overlay-destructive: #f044384d;
-  --color-background-overlay-backdrop: #18181bf2;
+  --color-background-default-burn: #1D1D20;
+  --color-background-overlay-fullscreen: #27272AF7;
+  --color-background-default-lighter: #C8CEDA0A;
+  --color-background-section: #18181B66;
+  --color-background-interaction-from-bg-1: #18181B66;
+  --color-background-interaction-from-bg-2: #18181B24;
+  --color-background-section-burn: #18181B99;
+  --color-background-default-dodge: #3A3A40;
+  --color-background-overlay: #18181BCC;
+  --color-background-default-dimmed: #27272B;
+  --color-background-default-hover: #27272B;
+  --color-background-overlay-alt: #18181B66;
+  --color-background-surface-white: #FFFFFFE5;
+  --color-background-overlay-destructive: #F044384D;
+  --color-background-overlay-backdrop: #18181BF2;
 
-  --color-shadow-shadow-1: #0000000d;
-  --color-shadow-shadow-3: #0000001a;
-  --color-shadow-shadow-4: #0000001f;
+  --color-shadow-shadow-1: #0000000D;
+  --color-shadow-shadow-3: #0000001A;
+  --color-shadow-shadow-4: #0000001F;
   --color-shadow-shadow-5: #00000029;
   --color-shadow-shadow-6: #00000033;
-  --color-shadow-shadow-7: #0000003d;
+  --color-shadow-shadow-7: #0000003D;
   --color-shadow-shadow-8: #00000047;
-  --color-shadow-shadow-9: #0000005c;
+  --color-shadow-shadow-9: #0000005C;
   --color-shadow-shadow-2: #00000014;
   --color-shadow-shadow-10: #00000066;
 
-  --color-workflow-block-border: #ffffff14;
-  --color-workflow-block-parma-bg: #ffffff0d;
-  --color-workflow-block-bg: #27272b;
-  --color-workflow-block-bg-transparent: #27272bf5;
-  --color-workflow-block-border-highlight: #c8ceda33;
+  --color-workflow-block-border: #FFFFFF14;
+  --color-workflow-block-parma-bg: #FFFFFF0D;
+  --color-workflow-block-bg: #27272B;
+  --color-workflow-block-bg-transparent: #27272BF5;
+  --color-workflow-block-border-highlight: #C8CEDA33;
 
-  --color-workflow-canvas-workflow-dot-color: #8585ad1c;
-  --color-workflow-canvas-workflow-bg: #1d1d20;
+  --color-workflow-canvas-workflow-dot-color: #8585AD26;
+  --color-workflow-canvas-workflow-bg: #1D1D20;
 
-  --color-workflow-link-line-active: #5289ff;
-  --color-workflow-link-line-normal: #676f83;
-  --color-workflow-link-line-handle: #5289ff;
-  --color-workflow-link-line-normal-transparent: #676f8333;
-  --color-workflow-link-line-failure-active: #fdb022;
-  --color-workflow-link-line-failure-handle: #fdb022;
-  --color-workflow-link-line-failure-button-bg: #f79009;
-  --color-workflow-link-line-failure-button-hover: #dc6803;
+  --color-workflow-link-line-active: #5289FF;
+  --color-workflow-link-line-normal: #676F83;
+  --color-workflow-link-line-handle: #5289FF;
+  --color-workflow-link-line-normal-transparent: #676F8333;
+  --color-workflow-link-line-failure-active: #FDB022;
+  --color-workflow-link-line-failure-handle: #FDB022;
+  --color-workflow-link-line-failure-button-bg: #F79009;
+  --color-workflow-link-line-failure-button-hover: #DC6803;
 
-  --color-workflow-link-line-success-active: #47cd89;
-  --color-workflow-link-line-success-handle: #47cd89;
+  --color-workflow-link-line-success-active: #47CD89;
+  --color-workflow-link-line-success-handle: #47CD89;
 
-  --color-workflow-link-line-error-active: #f97066;
-  --color-workflow-link-line-error-handle: #f97066;
+  --color-workflow-link-line-error-active: #F97066;
+  --color-workflow-link-line-error-handle: #F97066;
 
-  --color-workflow-minimap-bg: #27272b;
-  --color-workflow-minimap-block: #c8ceda14;
+  --color-workflow-minimap-bg: #27272B;
+  --color-workflow-minimap-block: #C8CEDA14;
 
-  --color-workflow-display-success-bg: #17b26a33;
-  --color-workflow-display-success-border-1: #17b26ae6;
-  --color-workflow-display-success-border-2: #17b26acc;
-  --color-workflow-display-success-vignette-color: #17b26a40;
-  --color-workflow-display-success-bg-line-pattern: #18181bcc;
+  --color-workflow-display-success-bg: #17B26A33;
+  --color-workflow-display-success-border-1: #17B26AE5;
+  --color-workflow-display-success-border-2: #17B26ACC;
+  --color-workflow-display-success-vignette-color: #17B26A40;
+  --color-workflow-display-success-bg-line-pattern: #18181BCC;
 
-  --color-workflow-display-glass-1: #ffffff08;
-  --color-workflow-display-glass-2: #ffffff0d;
+  --color-workflow-display-glass-1: #FFFFFF08;
+  --color-workflow-display-glass-2: #FFFFFF0D;
   --color-workflow-display-vignette-dark: #00000066;
-  --color-workflow-display-highlight: #ffffff1f;
-  --color-workflow-display-outline: #18181bf2;
-  --color-workflow-display-error-bg: #f0443833;
-  --color-workflow-display-error-bg-line-pattern: #18181bcc;
-  --color-workflow-display-error-border-1: #f04438e6;
-  --color-workflow-display-error-border-2: #f04438cc;
-  --color-workflow-display-error-vignette-color: #f0443840;
+  --color-workflow-display-highlight: #FFFFFF1F;
+  --color-workflow-display-outline: #18181BF2;
+  --color-workflow-display-error-bg: #F0443833;
+  --color-workflow-display-error-bg-line-pattern: #18181BCC;
+  --color-workflow-display-error-border-1: #F04438E5;
+  --color-workflow-display-error-border-2: #F04438CC;
+  --color-workflow-display-error-vignette-color: #F0443840;
 
-  --color-workflow-display-warning-bg: #f7900933;
-  --color-workflow-display-warning-bg-line-pattern: #18181bcc;
-  --color-workflow-display-warning-border-1: #f79009e6;
-  --color-workflow-display-warning-border-2: #f79009cc;
-  --color-workflow-display-warning-vignette-color: #f7900940;
+  --color-workflow-display-warning-bg: #F7900933;
+  --color-workflow-display-warning-bg-line-pattern: #18181BCC;
+  --color-workflow-display-warning-border-1: #F79009E5;
+  --color-workflow-display-warning-border-2: #F79009CC;
+  --color-workflow-display-warning-vignette-color: #F7900940;
 
-  --color-workflow-display-normal-bg: #0ba5ec33;
-  --color-workflow-display-normal-bg-line-pattern: #18181bcc;
-  --color-workflow-display-normal-border-1: #0ba5ece6;
-  --color-workflow-display-normal-border-2: #0ba5eccc;
-  --color-workflow-display-normal-vignette-color: #0ba5ec40;
+  --color-workflow-display-normal-bg: #0BA5EC33;
+  --color-workflow-display-normal-bg-line-pattern: #18181BCC;
+  --color-workflow-display-normal-border-1: #0BA5ECE5;
+  --color-workflow-display-normal-border-2: #0BA5ECCC;
+  --color-workflow-display-normal-vignette-color: #0BA5EC40;
 
-  --color-workflow-display-disabled-bg: #c8ceda33;
-  --color-workflow-display-disabled-bg-line-pattern: #18181bcc;
-  --color-workflow-display-disabled-border-1: #c8ceda99;
-  --color-workflow-display-disabled-border-2: #c8ceda40;
-  --color-workflow-display-disabled-vignette-color: #c8ceda40;
-  --color-workflow-display-disabled-outline: #18181bf2;
+  --color-workflow-display-disabled-bg: #C8CEDA33;
+  --color-workflow-display-disabled-bg-line-pattern: #18181BCC;
+  --color-workflow-display-disabled-border-1: #C8CEDA99;
+  --color-workflow-display-disabled-border-2: #C8CEDA40;
+  --color-workflow-display-disabled-vignette-color: #C8CEDA40;
+  --color-workflow-display-disabled-outline: #18181BF2;
 
-  --color-workflow-workflow-progress-bg-1: #18181b40;
-  --color-workflow-workflow-progress-bg-2: #18181b0a;
+  --color-workflow-workflow-progress-bg-1: #18181B40;
+  --color-workflow-workflow-progress-bg-2: #18181B0A;
 
-  --color-divider-subtle: #c8ceda14;
-  --color-divider-regular: #c8ceda24;
-  --color-divider-deep: #c8ceda33;
-  --color-divider-burn: #18181bf2;
-  --color-divider-intense: #c8ceda66;
-  --color-divider-solid: #3a3a40;
+  --color-divider-subtle: #C8CEDA14;
+  --color-divider-regular: #C8CEDA24;
+  --color-divider-deep: #C8CEDA33;
+  --color-divider-burn: #18181BF2;
+  --color-divider-intense: #C8CEDA66;
+  --color-divider-solid: #3A3A40;
   --color-divider-solid-alt: #747481;
 
-  --color-state-base-hover: #c8ceda14;
-  --color-state-base-active: #c8ceda33;
-  --color-state-base-hover-alt: #c8ceda24;
-  --color-state-base-handle: #c8ceda4d;
-  --color-state-base-handle-hover: #c8ceda80;
-  --color-state-base-hover-subtle: #c8ceda0a;
+  --color-state-base-hover: #C8CEDA14;
+  --color-state-base-active: #C8CEDA33;
+  --color-state-base-hover-alt: #C8CEDA24;
+  --color-state-base-handle: #C8CEDA4D;
+  --color-state-base-handle-hover: #C8CEDA80;
 
-  --color-state-accent-hover: #155aef24;
-  --color-state-accent-active: #155aef24;
-  --color-state-accent-hover-alt: #155aef40;
-  --color-state-accent-solid: #5289ff;
-  --color-state-accent-active-alt: #155aef33;
+  --color-state-accent-hover: #155AEF24;
+  --color-state-accent-active: #155AEF24;
+  --color-state-accent-hover-alt: #155AEF40;
+  --color-state-accent-solid: #5289FF;
+  --color-state-accent-active-alt: #155AEF33;
 
-  --color-state-destructive-hover: #f0443824;
-  --color-state-destructive-hover-alt: #f0443840;
-  --color-state-destructive-active: #f044384d;
-  --color-state-destructive-solid: #f97066;
-  --color-state-destructive-border: #f97066;
+  --color-state-destructive-hover: #F0443824;
+  --color-state-destructive-hover-alt: #F0443840;
+  --color-state-destructive-active: #F044384D;
+  --color-state-destructive-solid: #F97066;
+  --color-state-destructive-border: #F97066;
 
-  --color-state-success-hover: #17b26a24;
-  --color-state-success-hover-alt: #17b26a40;
-  --color-state-success-active: #17b26a4d;
-  --color-state-success-solid: #47cd89;
+  --color-state-success-hover: #17B26A24;
+  --color-state-success-hover-alt: #17B26A40;
+  --color-state-success-active: #17B26A4D;
+  --color-state-success-solid: #47CD89;
 
-  --color-state-warning-hover: #f7900924;
-  --color-state-warning-hover-alt: #f7900940;
-  --color-state-warning-active: #f790094d;
-  --color-state-warning-solid: #f79009;
+  --color-state-warning-hover: #F7900924;
+  --color-state-warning-hover-alt: #F7900940;
+  --color-state-warning-active: #F790094D;
+  --color-state-warning-solid: #F79009;
 
-  --color-effects-highlight: #c8ceda14;
-  --color-effects-highlight-lightmode-off: #c8ceda14;
-  --color-effects-image-frame: #ffffff;
+  --color-effects-highlight: #C8CEDA14;
+  --color-effects-highlight-lightmode-off: #C8CEDA14;
+  --color-effects-image-frame: #FFFFFF;
 
-  --color-util-colors-orange-dark-orange-dark-50: #57130a;
-  --color-util-colors-orange-dark-orange-dark-100: #771a0d;
-  --color-util-colors-orange-dark-orange-dark-200: #97180c;
-  --color-util-colors-orange-dark-orange-dark-300: #bc1b06;
-  --color-util-colors-orange-dark-orange-dark-400: #e62e05;
-  --color-util-colors-orange-dark-orange-dark-500: #ff4405;
-  --color-util-colors-orange-dark-orange-dark-600: #ff692e;
-  --color-util-colors-orange-dark-orange-dark-700: #ff9c66;
+  --color-util-colors-orange-dark-orange-dark-50: #57130A;
+  --color-util-colors-orange-dark-orange-dark-100: #771A0D;
+  --color-util-colors-orange-dark-orange-dark-200: #97180C;
+  --color-util-colors-orange-dark-orange-dark-300: #BC1B06;
+  --color-util-colors-orange-dark-orange-dark-400: #E62E05;
+  --color-util-colors-orange-dark-orange-dark-500: #FF4405;
+  --color-util-colors-orange-dark-orange-dark-600: #FF692E;
+  --color-util-colors-orange-dark-orange-dark-700: #FF9C66;
 
-  --color-util-colors-orange-orange-50: #511c10;
+  --color-util-colors-orange-orange-50: #511C10;
   --color-util-colors-orange-orange-100: #772917;
-  --color-util-colors-orange-orange-200: #932f19;
-  --color-util-colors-orange-orange-300: #b93815;
-  --color-util-colors-orange-orange-400: #e04f16;
-  --color-util-colors-orange-orange-500: #ef6820;
-  --color-util-colors-orange-orange-600: #f38744;
-  --color-util-colors-orange-orange-700: #f7b27a;
+  --color-util-colors-orange-orange-200: #932F19;
+  --color-util-colors-orange-orange-300: #B93815;
+  --color-util-colors-orange-orange-400: #E04F16;
+  --color-util-colors-orange-orange-500: #EF6820;
+  --color-util-colors-orange-orange-600: #F38744;
+  --color-util-colors-orange-orange-700: #F7B27A;
   --color-util-colors-orange-orange-100-transparent: #77291700;
 
-  --color-util-colors-pink-pink-50: #4e0d30;
+  --color-util-colors-pink-pink-50: #4E0D30;
   --color-util-colors-pink-pink-100: #851651;
-  --color-util-colors-pink-pink-200: #9e165f;
-  --color-util-colors-pink-pink-300: #c11574;
-  --color-util-colors-pink-pink-400: #dd2590;
-  --color-util-colors-pink-pink-500: #ee46bc;
-  --color-util-colors-pink-pink-600: #f670c7;
-  --color-util-colors-pink-pink-700: #faa7e0;
+  --color-util-colors-pink-pink-200: #9E165F;
+  --color-util-colors-pink-pink-300: #C11574;
+  --color-util-colors-pink-pink-400: #DD2590;
+  --color-util-colors-pink-pink-500: #EE46BC;
+  --color-util-colors-pink-pink-600: #F670C7;
+  --color-util-colors-pink-pink-700: #FAA7E0;
 
-  --color-util-colors-fuchsia-fuchsia-50: #47104c;
-  --color-util-colors-fuchsia-fuchsia-100: #6f1877;
+  --color-util-colors-fuchsia-fuchsia-50: #47104C;
+  --color-util-colors-fuchsia-fuchsia-100: #6F1877;
   --color-util-colors-fuchsia-fuchsia-200: #821890;
-  --color-util-colors-fuchsia-fuchsia-300: #9f1ab1;
-  --color-util-colors-fuchsia-fuchsia-400: #ba24d5;
-  --color-util-colors-fuchsia-fuchsia-500: #d444f1;
-  --color-util-colors-fuchsia-fuchsia-600: #e478fa;
-  --color-util-colors-fuchsia-fuchsia-700: #eeaafd;
+  --color-util-colors-fuchsia-fuchsia-300: #9F1AB1;
+  --color-util-colors-fuchsia-fuchsia-400: #BA24D5;
+  --color-util-colors-fuchsia-fuchsia-500: #D444F1;
+  --color-util-colors-fuchsia-fuchsia-600: #E478FA;
+  --color-util-colors-fuchsia-fuchsia-700: #EEAAFD;
 
-  --color-util-colors-purple-purple-50: #27115f;
-  --color-util-colors-purple-purple-100: #3e1c96;
-  --color-util-colors-purple-purple-200: #4a1fb8;
-  --color-util-colors-purple-purple-300: #5925dc;
-  --color-util-colors-purple-purple-400: #6938ef;
-  --color-util-colors-purple-purple-500: #7a5af8;
-  --color-util-colors-purple-purple-600: #9b8afb;
-  --color-util-colors-purple-purple-700: #bdb4fe;
+  --color-util-colors-purple-purple-50: #27115F;
+  --color-util-colors-purple-purple-100: #3E1C96;
+  --color-util-colors-purple-purple-200: #4A1FB8;
+  --color-util-colors-purple-purple-300: #5925DC;
+  --color-util-colors-purple-purple-400: #6938EF;
+  --color-util-colors-purple-purple-500: #7A5AF8;
+  --color-util-colors-purple-purple-600: #9B8AFB;
+  --color-util-colors-purple-purple-700: #BDB4FE;
 
-  --color-util-colors-indigo-indigo-50: #1f235b;
-  --color-util-colors-indigo-indigo-100: #2d3282;
-  --color-util-colors-indigo-indigo-200: #2d31a6;
-  --color-util-colors-indigo-indigo-300: #3538cd;
-  --color-util-colors-indigo-indigo-400: #444ce7;
-  --color-util-colors-indigo-indigo-500: #6172f3;
-  --color-util-colors-indigo-indigo-600: #8098f9;
-  --color-util-colors-indigo-indigo-700: #a4bcfd;
+  --color-util-colors-indigo-indigo-50: #1F235B;
+  --color-util-colors-indigo-indigo-100: #2D3282;
+  --color-util-colors-indigo-indigo-200: #2D31A6;
+  --color-util-colors-indigo-indigo-300: #3538CD;
+  --color-util-colors-indigo-indigo-400: #444CE7;
+  --color-util-colors-indigo-indigo-500: #6172F3;
+  --color-util-colors-indigo-indigo-600: #8098F9;
+  --color-util-colors-indigo-indigo-700: #A4BCFD;
 
-  --color-util-colors-blue-blue-50: #102a56;
+  --color-util-colors-blue-blue-50: #102A56;
   --color-util-colors-blue-blue-100: #194185;
-  --color-util-colors-blue-blue-200: #1849a9;
-  --color-util-colors-blue-blue-300: #175cd3;
-  --color-util-colors-blue-blue-400: #1570ef;
-  --color-util-colors-blue-blue-500: #2e90fa;
-  --color-util-colors-blue-blue-600: #53b1fd;
-  --color-util-colors-blue-blue-700: #84caff;
+  --color-util-colors-blue-blue-200: #1849A9;
+  --color-util-colors-blue-blue-300: #175CD3;
+  --color-util-colors-blue-blue-400: #1570EF;
+  --color-util-colors-blue-blue-500: #2E90FA;
+  --color-util-colors-blue-blue-600: #53B1FD;
+  --color-util-colors-blue-blue-700: #84CAFF;
 
-  --color-util-colors-blue-light-blue-light-50: #062c41;
-  --color-util-colors-blue-light-blue-light-100: #0b4a6f;
+  --color-util-colors-blue-light-blue-light-50: #062C41;
+  --color-util-colors-blue-light-blue-light-100: #0B4A6F;
   --color-util-colors-blue-light-blue-light-200: #065986;
-  --color-util-colors-blue-light-blue-light-300: #026aa2;
-  --color-util-colors-blue-light-blue-light-400: #0086c9;
-  --color-util-colors-blue-light-blue-light-500: #0ba5ec;
-  --color-util-colors-blue-light-blue-light-600: #36bffa;
-  --color-util-colors-blue-light-blue-light-700: #7cd4fd;
+  --color-util-colors-blue-light-blue-light-300: #026AA2;
+  --color-util-colors-blue-light-blue-light-400: #0086C9;
+  --color-util-colors-blue-light-blue-light-500: #0BA5EC;
+  --color-util-colors-blue-light-blue-light-600: #36BFFA;
+  --color-util-colors-blue-light-blue-light-700: #7CD4FD;
 
-  --color-util-colors-gray-blue-gray-blue-50: #0d0f1c;
+  --color-util-colors-gray-blue-gray-blue-50: #0D0F1C;
   --color-util-colors-gray-blue-gray-blue-100: #101323;
   --color-util-colors-gray-blue-gray-blue-200: #293056;
-  --color-util-colors-gray-blue-gray-blue-300: #363f72;
-  --color-util-colors-gray-blue-gray-blue-400: #3e4784;
-  --color-util-colors-gray-blue-gray-blue-500: #4e5ba6;
-  --color-util-colors-gray-blue-gray-blue-600: #717bbc;
-  --color-util-colors-gray-blue-gray-blue-700: #b3b8db;
+  --color-util-colors-gray-blue-gray-blue-300: #363F72;
+  --color-util-colors-gray-blue-gray-blue-400: #3E4784;
+  --color-util-colors-gray-blue-gray-blue-500: #4E5BA6;
+  --color-util-colors-gray-blue-gray-blue-600: #717BBC;
+  --color-util-colors-gray-blue-gray-blue-700: #B3B8DB;
 
   --color-util-colors-blue-brand-blue-brand-50: #002066;
-  --color-util-colors-blue-brand-blue-brand-100: #00329e;
-  --color-util-colors-blue-brand-blue-brand-200: #003dc1;
-  --color-util-colors-blue-brand-blue-brand-300: #004aeb;
-  --color-util-colors-blue-brand-blue-brand-400: #155aef;
-  --color-util-colors-blue-brand-blue-brand-500: #296dff;
-  --color-util-colors-blue-brand-blue-brand-600: #5289ff;
-  --color-util-colors-blue-brand-blue-brand-700: #84abff;
+  --color-util-colors-blue-brand-blue-brand-100: #00329E;
+  --color-util-colors-blue-brand-blue-brand-200: #003DC1;
+  --color-util-colors-blue-brand-blue-brand-300: #004AEB;
+  --color-util-colors-blue-brand-blue-brand-400: #155AEF;
+  --color-util-colors-blue-brand-blue-brand-500: #296DFF;
+  --color-util-colors-blue-brand-blue-brand-600: #5289FF;
+  --color-util-colors-blue-brand-blue-brand-700: #84ABFF;
 
-  --color-util-colors-red-red-50: #55160c;
-  --color-util-colors-red-red-100: #7a271a;
+  --color-util-colors-red-red-50: #55160C;
+  --color-util-colors-red-red-100: #7A271A;
   --color-util-colors-red-red-200: #912018;
-  --color-util-colors-red-red-300: #b42318;
-  --color-util-colors-red-red-400: #d92d20;
-  --color-util-colors-red-red-500: #f04438;
-  --color-util-colors-red-red-600: #f97066;
-  --color-util-colors-red-red-700: #fda29b;
+  --color-util-colors-red-red-300: #B42318;
+  --color-util-colors-red-red-400: #D92D20;
+  --color-util-colors-red-red-500: #F04438;
+  --color-util-colors-red-red-600: #F97066;
+  --color-util-colors-red-red-700: #FDA29B;
 
   --color-util-colors-green-green-50: #053321;
-  --color-util-colors-green-green-100: #074d31;
-  --color-util-colors-green-green-200: #085d3a;
+  --color-util-colors-green-green-100: #074D31;
+  --color-util-colors-green-green-200: #085D3A;
   --color-util-colors-green-green-300: #067647;
   --color-util-colors-green-green-400: #079455;
-  --color-util-colors-green-green-500: #17b26a;
-  --color-util-colors-green-green-600: #47cd89;
-  --color-util-colors-green-green-700: #75e0a7;
+  --color-util-colors-green-green-500: #17B26A;
+  --color-util-colors-green-green-600: #47CD89;
+  --color-util-colors-green-green-700: #75E0A7;
 
-  --color-util-colors-warning-warning-50: #4e1d09;
-  --color-util-colors-warning-warning-100: #7a2e0e;
-  --color-util-colors-warning-warning-200: #93370d;
-  --color-util-colors-warning-warning-300: #b54708;
-  --color-util-colors-warning-warning-400: #dc6803;
-  --color-util-colors-warning-warning-500: #f79009;
-  --color-util-colors-warning-warning-600: #fdb022;
-  --color-util-colors-warning-warning-700: #fec84b;
+  --color-util-colors-warning-warning-50: #4E1D09;
+  --color-util-colors-warning-warning-100: #7A2E0E;
+  --color-util-colors-warning-warning-200: #93370D;
+  --color-util-colors-warning-warning-300: #B54708;
+  --color-util-colors-warning-warning-400: #DC6803;
+  --color-util-colors-warning-warning-500: #F79009;
+  --color-util-colors-warning-warning-600: #FDB022;
+  --color-util-colors-warning-warning-700: #FEC84B;
 
-  --color-util-colors-yellow-yellow-50: #542c0d;
-  --color-util-colors-yellow-yellow-100: #713b12;
-  --color-util-colors-yellow-yellow-200: #854a0e;
-  --color-util-colors-yellow-yellow-300: #a15c07;
-  --color-util-colors-yellow-yellow-400: #ca8504;
-  --color-util-colors-yellow-yellow-500: #eaaa08;
-  --color-util-colors-yellow-yellow-600: #fac515;
-  --color-util-colors-yellow-yellow-700: #fde272;
+  --color-util-colors-yellow-yellow-50: #542C0D;
+  --color-util-colors-yellow-yellow-100: #713B12;
+  --color-util-colors-yellow-yellow-200: #854A0E;
+  --color-util-colors-yellow-yellow-300: #A15C07;
+  --color-util-colors-yellow-yellow-400: #CA8504;
+  --color-util-colors-yellow-yellow-500: #EAAA08;
+  --color-util-colors-yellow-yellow-600: #FAC515;
+  --color-util-colors-yellow-yellow-700: #FDE272;
 
-  --color-util-colors-teal-teal-50: #0a2926;
-  --color-util-colors-teal-teal-100: #134e48;
-  --color-util-colors-teal-teal-200: #125d56;
+  --color-util-colors-teal-teal-50: #0A2926;
+  --color-util-colors-teal-teal-100: #134E48;
+  --color-util-colors-teal-teal-200: #125D56;
   --color-util-colors-teal-teal-300: #107569;
-  --color-util-colors-teal-teal-400: #0e9384;
-  --color-util-colors-teal-teal-500: #15b79e;
-  --color-util-colors-teal-teal-600: #2ed3b7;
-  --color-util-colors-teal-teal-700: #5fe9d0;
+  --color-util-colors-teal-teal-400: #0E9384;
+  --color-util-colors-teal-teal-500: #15B79E;
+  --color-util-colors-teal-teal-600: #2ED3B7;
+  --color-util-colors-teal-teal-700: #5FE9D0;
 
-  --color-util-colors-cyan-cyan-50: #0d2d3a;
-  --color-util-colors-cyan-cyan-100: #164c63;
-  --color-util-colors-cyan-cyan-200: #155b75;
-  --color-util-colors-cyan-cyan-300: #0e7090;
-  --color-util-colors-cyan-cyan-400: #088ab2;
-  --color-util-colors-cyan-cyan-500: #06aed4;
-  --color-util-colors-cyan-cyan-600: #22ccee;
-  --color-util-colors-cyan-cyan-700: #67e3f9;
+  --color-util-colors-cyan-cyan-50: #0D2D3A;
+  --color-util-colors-cyan-cyan-100: #164C63;
+  --color-util-colors-cyan-cyan-200: #155B75;
+  --color-util-colors-cyan-cyan-300: #0E7090;
+  --color-util-colors-cyan-cyan-400: #088AB2;
+  --color-util-colors-cyan-cyan-500: #06AED4;
+  --color-util-colors-cyan-cyan-600: #22CCEE;
+  --color-util-colors-cyan-cyan-700: #67E3F9;
 
-  --color-util-colors-violet-violet-50: #2e125e;
-  --color-util-colors-violet-violet-100: #491c96;
-  --color-util-colors-violet-violet-200: #5720b7;
-  --color-util-colors-violet-violet-300: #6927da;
-  --color-util-colors-violet-violet-400: #7839ee;
-  --color-util-colors-violet-violet-500: #875bf7;
-  --color-util-colors-violet-violet-600: #a48afb;
-  --color-util-colors-violet-violet-700: #c3b5fd;
+  --color-util-colors-violet-violet-50: #2E125E;
+  --color-util-colors-violet-violet-100: #491C96;
+  --color-util-colors-violet-violet-200: #5720B7;
+  --color-util-colors-violet-violet-300: #6927DA;
+  --color-util-colors-violet-violet-400: #7839EE;
+  --color-util-colors-violet-violet-500: #875BF7;
+  --color-util-colors-violet-violet-600: #A48AFB;
+  --color-util-colors-violet-violet-700: #C3B5FD;
 
-  --color-util-colors-gray-gray-50: #0c111c;
+  --color-util-colors-gray-gray-50: #0C111C;
   --color-util-colors-gray-gray-100: #101828;
-  --color-util-colors-gray-gray-200: #18222f;
+  --color-util-colors-gray-gray-200: #18222F;
   --color-util-colors-gray-gray-300: #354052;
   --color-util-colors-gray-gray-400: #495464;
-  --color-util-colors-gray-gray-500: #676f83;
-  --color-util-colors-gray-gray-600: #98a2b2;
-  --color-util-colors-gray-gray-700: #d0d5dc;
+  --color-util-colors-gray-gray-500: #676F83;
+  --color-util-colors-gray-gray-600: #98A2B2;
+  --color-util-colors-gray-gray-700: #D0D5DC;
 
-  --color-util-colors-green-light-green-light-50: #15290a;
-  --color-util-colors-green-light-green-light-100: #2b5314;
+  --color-util-colors-green-light-green-light-50: #15290A;
+  --color-util-colors-green-light-green-light-100: #2B5314;
   --color-util-colors-green-light-green-light-200: #326212;
-  --color-util-colors-green-light-green-light-300: #3b7c0f;
-  --color-util-colors-green-light-green-light-500: #66c61c;
-  --color-util-colors-green-light-green-light-400: #4ca30d;
-  --color-util-colors-green-light-green-light-600: #85e13a;
-  --color-util-colors-green-light-green-light-700: #a6ef67;
+  --color-util-colors-green-light-green-light-300: #3B7C0F;
+  --color-util-colors-green-light-green-light-500: #66C61C;
+  --color-util-colors-green-light-green-light-400: #4CA30D;
+  --color-util-colors-green-light-green-light-600: #85E13A;
+  --color-util-colors-green-light-green-light-700: #A6EF67;
 
-  --color-util-colors-rose-rose-50: #510b24;
-  --color-util-colors-rose-rose-100: #89123e;
-  --color-util-colors-rose-rose-200: #a11043;
-  --color-util-colors-rose-rose-300: #c01048;
-  --color-util-colors-rose-rose-400: #e31b54;
-  --color-util-colors-rose-rose-500: #f63d68;
-  --color-util-colors-rose-rose-600: #fd6f8e;
-  --color-util-colors-rose-rose-700: #fea3b4;
+  --color-util-colors-rose-rose-50: #510B24;
+  --color-util-colors-rose-rose-100: #89123E;
+  --color-util-colors-rose-rose-200: #A11043;
+  --color-util-colors-rose-rose-300: #C01048;
+  --color-util-colors-rose-rose-400: #E31B54;
+  --color-util-colors-rose-rose-500: #F63D68;
+  --color-util-colors-rose-rose-600: #FD6F8E;
+  --color-util-colors-rose-rose-700: #FEA3B4;
 
-  --color-util-colors-midnight-midnight-50: #171c22;
+  --color-util-colors-midnight-midnight-50: #171C22;
   --color-util-colors-midnight-midnight-100: #202431;
-  --color-util-colors-midnight-midnight-200: #2f3648;
-  --color-util-colors-midnight-midnight-300: #3e465e;
-  --color-util-colors-midnight-midnight-400: #5d698d;
-  --color-util-colors-midnight-midnight-500: #828dad;
-  --color-util-colors-midnight-midnight-600: #a7aec5;
-  --color-util-colors-midnight-midnight-700: #c6cbd9;
+  --color-util-colors-midnight-midnight-200: #2F3648;
+  --color-util-colors-midnight-midnight-300: #3E465E;
+  --color-util-colors-midnight-midnight-400: #5D698D;
+  --color-util-colors-midnight-midnight-500: #828DAD;
+  --color-util-colors-midnight-midnight-600: #A7AEC5;
+  --color-util-colors-midnight-midnight-700: #C6CBD9;
 
-  --color-third-party-LangChain: #ffffff;
-  --color-third-party-Langfuse: #ffffff;
-  --color-third-party-Github: #ffffff;
-  --color-third-party-Github-tertiary: #c8ceda99;
-  --color-third-party-Github-secondary: #d9d9de;
+  --color-third-party-LangChain: #FFFFFF;
+  --color-third-party-Langfuse: #FFFFFF;
+  --color-third-party-Github: #FFFFFF;
+  --color-third-party-Github-tertiary: #C8CEDA99;
+  --color-third-party-Github-secondary: #D9D9DE;
   --color-third-party-model-bg-openai: #121212;
-  --color-third-party-model-bg-anthropic: #1d1917;
-  --color-third-party-model-bg-default: #0b0b0e;
+  --color-third-party-model-bg-anthropic: #1D1917;
+  --color-third-party-model-bg-default: #0B0B0E;
 
-  --color-third-party-aws: #141f2e;
+  --color-third-party-aws: #141F2E;
   --color-third-party-aws-alt: #192639;
 
-  --color-saas-background: #0b0b0e;
-  --color-saas-pricing-grid-bg: #c8ceda33;
+  --color-saas-background: #0B0B0E;
+  --color-saas-pricing-grid-bg: #C8CEDA33;
 
 }
\ No newline at end of file
diff --git a/web/themes/light.css b/web/themes/light.css
index 9c0952433d..6fb2a6b00c 100644
--- a/web/themes/light.css
+++ b/web/themes/light.css
@@ -1,739 +1,737 @@
 /* Attention: Generate by code. Don't update by hand!!! */
 html[data-theme="light"] {
-  --color-components-input-bg-normal: #c8ceda40;
-  --color-components-input-text-placeholder: #98a2b2;
-  --color-components-input-bg-hover: #c8ceda24;
-  --color-components-input-bg-active: #f9fafb;
-  --color-components-input-border-active: #d0d5dc;
-  --color-components-input-border-destructive: #fda29b;
+  --color-components-input-bg-normal: #C8CEDA40;
+  --color-components-input-text-placeholder: #98A2B2;
+  --color-components-input-bg-hover: #C8CEDA24;
+  --color-components-input-bg-active: #F9FAFB;
+  --color-components-input-border-active: #D0D5DC;
+  --color-components-input-border-destructive: #FDA29B;
   --color-components-input-text-filled: #101828;
-  --color-components-input-bg-destructive: #ffffff;
-  --color-components-input-bg-disabled: #c8ceda24;
-  --color-components-input-text-disabled: #d0d5dc;
-  --color-components-input-text-filled-disabled: #676f83;
-  --color-components-input-border-hover: #d0d5dc;
-  --color-components-input-border-active-prompt-1: #0ba5ec;
-  --color-components-input-border-active-prompt-2: #155aef;
+  --color-components-input-bg-destructive: #FFFFFF;
+  --color-components-input-bg-disabled: #C8CEDA24;
+  --color-components-input-text-disabled: #D0D5DC;
+  --color-components-input-text-filled-disabled: #676F83;
+  --color-components-input-border-hover: #D0D5DC;
+  --color-components-input-border-active-prompt-1: #0BA5EC;
+  --color-components-input-border-active-prompt-2: #155AEF;
 
-  --color-components-kbd-bg-gray: #1018280a;
-  --color-components-kbd-bg-white: #ffffff1f;
+  --color-components-kbd-bg-gray: #1018280A;
+  --color-components-kbd-bg-white: #FFFFFF1F;
 
-  --color-components-tooltip-bg: #fffffff2;
+  --color-components-tooltip-bg: #FFFFFFF2;
 
-  --color-components-button-primary-text: #ffffff;
-  --color-components-button-primary-bg: #155aef;
-  --color-components-button-primary-border: #1018280a;
-  --color-components-button-primary-bg-hover: #004aeb;
+  --color-components-button-primary-text: #FFFFFF;
+  --color-components-button-primary-bg: #155AEF;
+  --color-components-button-primary-border: #1018280A;
+  --color-components-button-primary-bg-hover: #004AEB;
   --color-components-button-primary-border-hover: #10182814;
-  --color-components-button-primary-bg-disabled: #155aef24;
-  --color-components-button-primary-border-disabled: #ffffff00;
-  --color-components-button-primary-text-disabled: #ffffff99;
+  --color-components-button-primary-bg-disabled: #155AEF24;
+  --color-components-button-primary-border-disabled: #FFFFFF00;
+  --color-components-button-primary-text-disabled: #FFFFFF99;
 
   --color-components-button-secondary-text: #354052;
   --color-components-button-secondary-text-disabled: #10182840;
-  --color-components-button-secondary-bg: #ffffff;
-  --color-components-button-secondary-bg-hover: #f9fafb;
-  --color-components-button-secondary-bg-disabled: #f9fafb;
+  --color-components-button-secondary-bg: #FFFFFF;
+  --color-components-button-secondary-bg-hover: #F9FAFB;
+  --color-components-button-secondary-bg-disabled: #F9FAFB;
   --color-components-button-secondary-border: #10182824;
   --color-components-button-secondary-border-hover: #10182833;
-  --color-components-button-secondary-border-disabled: #1018280a;
+  --color-components-button-secondary-border-disabled: #1018280A;
 
   --color-components-button-tertiary-text: #354052;
   --color-components-button-tertiary-text-disabled: #10182840;
-  --color-components-button-tertiary-bg: #f2f4f7;
-  --color-components-button-tertiary-bg-hover: #e9ebf0;
-  --color-components-button-tertiary-bg-disabled: #f9fafb;
+  --color-components-button-tertiary-bg: #F2F4F7;
+  --color-components-button-tertiary-bg-hover: #E9EBF0;
+  --color-components-button-tertiary-bg-disabled: #F9FAFB;
 
   --color-components-button-ghost-text: #354052;
   --color-components-button-ghost-text-disabled: #10182840;
-  --color-components-button-ghost-bg-hover: #c8ceda33;
+  --color-components-button-ghost-bg-hover: #C8CEDA33;
 
-  --color-components-button-destructive-primary-text: #ffffff;
-  --color-components-button-destructive-primary-text-disabled: #ffffff99;
-  --color-components-button-destructive-primary-bg: #d92d20;
-  --color-components-button-destructive-primary-bg-hover: #b42318;
-  --color-components-button-destructive-primary-bg-disabled: #fee4e2;
-  --color-components-button-destructive-primary-border: #18181b0a;
-  --color-components-button-destructive-primary-border-hover: #18181b14;
-  --color-components-button-destructive-primary-border-disabled: #ffffff00;
+  --color-components-button-destructive-primary-text: #FFFFFF;
+  --color-components-button-destructive-primary-text-disabled: #FFFFFF99;
+  --color-components-button-destructive-primary-bg: #D92D20;
+  --color-components-button-destructive-primary-bg-hover: #B42318;
+  --color-components-button-destructive-primary-bg-disabled: #FEE4E2;
+  --color-components-button-destructive-primary-border: #18181B0A;
+  --color-components-button-destructive-primary-border-hover: #18181B14;
+  --color-components-button-destructive-primary-border-disabled: #FFFFFF00;
 
-  --color-components-button-destructive-secondary-text: #d92d20;
-  --color-components-button-destructive-secondary-text-disabled: #f0443833;
-  --color-components-button-destructive-secondary-bg: #ffffff;
-  --color-components-button-destructive-secondary-bg-hover: #fef3f2;
-  --color-components-button-destructive-secondary-bg-disabled: #fef3f2;
-  --color-components-button-destructive-secondary-border: #18181b14;
-  --color-components-button-destructive-secondary-border-hover: #f0443840;
-  --color-components-button-destructive-secondary-border-disabled: #f044380a;
+  --color-components-button-destructive-secondary-text: #D92D20;
+  --color-components-button-destructive-secondary-text-disabled: #F0443833;
+  --color-components-button-destructive-secondary-bg: #FFFFFF;
+  --color-components-button-destructive-secondary-bg-hover: #FEF3F2;
+  --color-components-button-destructive-secondary-bg-disabled: #FEF3F2;
+  --color-components-button-destructive-secondary-border: #18181B14;
+  --color-components-button-destructive-secondary-border-hover: #F0443840;
+  --color-components-button-destructive-secondary-border-disabled: #F044380A;
 
-  --color-components-button-destructive-tertiary-text: #d92d20;
-  --color-components-button-destructive-tertiary-text-disabled: #f0443833;
-  --color-components-button-destructive-tertiary-bg: #fee4e2;
-  --color-components-button-destructive-tertiary-bg-hover: #fecdca;
-  --color-components-button-destructive-tertiary-bg-disabled: #f044380a;
+  --color-components-button-destructive-tertiary-text: #D92D20;
+  --color-components-button-destructive-tertiary-text-disabled: #F0443833;
+  --color-components-button-destructive-tertiary-bg: #FEE4E2;
+  --color-components-button-destructive-tertiary-bg-hover: #FECDCA;
+  --color-components-button-destructive-tertiary-bg-disabled: #F044380A;
 
-  --color-components-button-destructive-ghost-text: #d92d20;
-  --color-components-button-destructive-ghost-text-disabled: #f0443833;
-  --color-components-button-destructive-ghost-bg-hover: #fee4e2;
+  --color-components-button-destructive-ghost-text: #D92D20;
+  --color-components-button-destructive-ghost-text-disabled: #F0443833;
+  --color-components-button-destructive-ghost-bg-hover: #FEE4E2;
 
-  --color-components-button-secondary-accent-text: #155aef;
-  --color-components-button-secondary-accent-text-disabled: #b2caff;
-  --color-components-button-secondary-accent-bg: #ffffff;
-  --color-components-button-secondary-accent-bg-hover: #f2f4f7;
-  --color-components-button-secondary-accent-bg-disabled: #f9fafb;
+  --color-components-button-secondary-accent-text: #155AEF;
+  --color-components-button-secondary-accent-text-disabled: #B2CAFF;
+  --color-components-button-secondary-accent-bg: #FFFFFF;
+  --color-components-button-secondary-accent-bg-hover: #F2F4F7;
+  --color-components-button-secondary-accent-bg-disabled: #F9FAFB;
   --color-components-button-secondary-accent-border: #10182824;
   --color-components-button-secondary-accent-border-hover: #10182824;
-  --color-components-button-secondary-accent-border-disabled: #1018280a;
+  --color-components-button-secondary-accent-border-disabled: #1018280A;
 
-  --color-components-button-indigo-bg: #444ce7;
-  --color-components-button-indigo-bg-hover: #3538cd;
-  --color-components-button-indigo-bg-disabled: #6172f324;
+  --color-components-button-indigo-bg: #444CE7;
+  --color-components-button-indigo-bg-hover: #3538CD;
+  --color-components-button-indigo-bg-disabled: #6172F324;
 
-  --color-components-checkbox-icon: #ffffff;
-  --color-components-checkbox-icon-disabled: #ffffff80;
-  --color-components-checkbox-bg: #155aef;
-  --color-components-checkbox-bg-hover: #004aeb;
-  --color-components-checkbox-bg-disabled: #f2f4f7;
-  --color-components-checkbox-border: #d0d5dc;
-  --color-components-checkbox-border-hover: #98a2b2;
-  --color-components-checkbox-border-disabled: #18181b0a;
-  --color-components-checkbox-bg-unchecked: #ffffff;
-  --color-components-checkbox-bg-unchecked-hover: #ffffff;
-  --color-components-checkbox-bg-disabled-checked: #b2caff;
+  --color-components-checkbox-icon: #FFFFFF;
+  --color-components-checkbox-icon-disabled: #FFFFFF80;
+  --color-components-checkbox-bg: #155AEF;
+  --color-components-checkbox-bg-hover: #004AEB;
+  --color-components-checkbox-bg-disabled: #F2F4F7;
+  --color-components-checkbox-border: #D0D5DC;
+  --color-components-checkbox-border-hover: #98A2B2;
+  --color-components-checkbox-border-disabled: #18181B0A;
+  --color-components-checkbox-bg-unchecked: #FFFFFF;
+  --color-components-checkbox-bg-unchecked-hover: #FFFFFF;
+  --color-components-checkbox-bg-disabled-checked: #B2CAFF;
 
-  --color-components-radio-border-checked: #155aef;
-  --color-components-radio-border-checked-hover: #004aeb;
-  --color-components-radio-border-checked-disabled: #b2caff;
-  --color-components-radio-bg-disabled: #ffffff00;
-  --color-components-radio-border: #d0d5dc;
-  --color-components-radio-border-hover: #98a2b2;
-  --color-components-radio-border-disabled: #18181b0a;
-  --color-components-radio-bg: #ffffff00;
-  --color-components-radio-bg-hover: #ffffff00;
+  --color-components-radio-border-checked: #155AEF;
+  --color-components-radio-border-checked-hover: #004AEB;
+  --color-components-radio-border-checked-disabled: #B2CAFF;
+  --color-components-radio-bg-disabled: #FFFFFF00;
+  --color-components-radio-border: #D0D5DC;
+  --color-components-radio-border-hover: #98A2B2;
+  --color-components-radio-border-disabled: #18181B0A;
+  --color-components-radio-bg: #FFFFFF00;
+  --color-components-radio-bg-hover: #FFFFFF00;
 
-  --color-components-toggle-knob: #ffffff;
-  --color-components-toggle-knob-disabled: #fffffff2;
-  --color-components-toggle-bg: #155aef;
-  --color-components-toggle-bg-hover: #004aeb;
-  --color-components-toggle-bg-disabled: #d1e0ff;
-  --color-components-toggle-bg-unchecked: #e9ebf0;
-  --color-components-toggle-bg-unchecked-hover: #d0d5dc;
-  --color-components-toggle-bg-unchecked-disabled: #f2f4f7;
-  --color-components-toggle-knob-hover: #ffffff;
+  --color-components-toggle-knob: #FFFFFF;
+  --color-components-toggle-knob-disabled: #FFFFFFF2;
+  --color-components-toggle-bg: #155AEF;
+  --color-components-toggle-bg-hover: #004AEB;
+  --color-components-toggle-bg-disabled: #D1E0FF;
+  --color-components-toggle-bg-unchecked: #E9EBF0;
+  --color-components-toggle-bg-unchecked-hover: #D0D5DC;
+  --color-components-toggle-bg-unchecked-disabled: #F2F4F7;
+  --color-components-toggle-knob-hover: #FFFFFF;
 
-  --color-components-card-bg: #fcfcfd;
-  --color-components-card-border: #ffffff;
-  --color-components-card-bg-alt: #ffffff;
+  --color-components-card-bg: #FCFCFD;
+  --color-components-card-border: #FFFFFF;
+  --color-components-card-bg-alt: #FFFFFF;
 
   --color-components-menu-item-text: #495464;
-  --color-components-menu-item-text-active: #18222f;
+  --color-components-menu-item-text-active: #18222F;
   --color-components-menu-item-text-hover: #354052;
-  --color-components-menu-item-text-active-accent: #18222f;
+  --color-components-menu-item-text-active-accent: #18222F;
 
-  --color-components-panel-bg: #ffffff;
-  --color-components-panel-bg-blur: #fffffff2;
+  --color-components-panel-bg: #FFFFFF;
+  --color-components-panel-bg-blur: #FFFFFFF2;
   --color-components-panel-border: #10182814;
   --color-components-panel-border-subtle: #10182814;
-  --color-components-panel-gradient-2: #f9fafb;
-  --color-components-panel-gradient-1: #ffffff;
-  --color-components-panel-bg-alt: #f9fafb;
-  --color-components-panel-on-panel-item-bg: #ffffff;
-  --color-components-panel-on-panel-item-bg-hover: #f9fafb;
-  --color-components-panel-on-panel-item-bg-alt: #f9fafb;
-  --color-components-panel-on-panel-item-bg-transparent: #fffffff2;
-  --color-components-panel-on-panel-item-bg-hover-transparent: #f9fafb00;
-  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #fef3f200;
+  --color-components-panel-gradient-2: #F9FAFB;
+  --color-components-panel-gradient-1: #FFFFFF;
+  --color-components-panel-bg-alt: #F9FAFB;
+  --color-components-panel-on-panel-item-bg: #FFFFFF;
+  --color-components-panel-on-panel-item-bg-hover: #F9FAFB;
+  --color-components-panel-on-panel-item-bg-alt: #F9FAFB;
+  --color-components-panel-on-panel-item-bg-transparent: #FFFFFFF2;
+  --color-components-panel-on-panel-item-bg-hover-transparent: #F9FAFB00;
+  --color-components-panel-on-panel-item-bg-destructive-hover-transparent: #FEF3F200;
 
-  --color-components-panel-bg-transparent: #ffffff00;
+  --color-components-panel-bg-transparent: #FFFFFF00;
 
   --color-components-main-nav-nav-button-text: #495464;
-  --color-components-main-nav-nav-button-text-active: #155aef;
-  --color-components-main-nav-nav-button-bg: #ffffff00;
-  --color-components-main-nav-nav-button-bg-active: #fcfcfd;
-  --color-components-main-nav-nav-button-border: #fffffff2;
-  --color-components-main-nav-nav-button-bg-hover: #1018280a;
+  --color-components-main-nav-nav-button-text-active: #155AEF;
+  --color-components-main-nav-nav-button-bg: #FFFFFF00;
+  --color-components-main-nav-nav-button-bg-active: #FCFCFD;
+  --color-components-main-nav-nav-button-border: #FFFFFFF2;
+  --color-components-main-nav-nav-button-bg-hover: #1018280A;
 
-  --color-components-main-nav-nav-user-border: #ffffff;
+  --color-components-main-nav-nav-user-border: #FFFFFF;
 
-  --color-components-slider-knob: #ffffff;
-  --color-components-slider-knob-hover: #ffffff;
-  --color-components-slider-knob-disabled: #fffffff2;
-  --color-components-slider-range: #296dff;
-  --color-components-slider-track: #e9ebf0;
+  --color-components-slider-knob: #FFFFFF;
+  --color-components-slider-knob-hover: #FFFFFF;
+  --color-components-slider-knob-disabled: #FFFFFFF2;
+  --color-components-slider-range: #296DFF;
+  --color-components-slider-track: #E9EBF0;
   --color-components-slider-knob-border-hover: #10182833;
   --color-components-slider-knob-border: #10182824;
 
-  --color-components-segmented-control-item-active-bg: #ffffff;
-  --color-components-segmented-control-item-active-border: #ffffff;
-  --color-components-segmented-control-bg-normal: #c8ceda33;
-  --color-components-segmented-control-item-active-accent-bg: #ffffff;
-  --color-components-segmented-control-item-active-accent-border: #ffffff;
+  --color-components-segmented-control-item-active-bg: #FFFFFF;
+  --color-components-segmented-control-item-active-border: #FFFFFF;
+  --color-components-segmented-control-bg-normal: #C8CEDA33;
+  --color-components-segmented-control-item-active-accent-bg: #FFFFFF;
+  --color-components-segmented-control-item-active-accent-border: #FFFFFF;
 
-  --color-components-option-card-option-bg: #fcfcfd;
-  --color-components-option-card-option-selected-bg: #ffffff;
-  --color-components-option-card-option-selected-border: #296dff;
-  --color-components-option-card-option-border: #e9ebf0;
-  --color-components-option-card-option-bg-hover: #ffffff;
-  --color-components-option-card-option-border-hover: #d0d5dc;
+  --color-components-option-card-option-bg: #FCFCFD;
+  --color-components-option-card-option-selected-bg: #FFFFFF;
+  --color-components-option-card-option-selected-border: #296DFF;
+  --color-components-option-card-option-border: #E9EBF0;
+  --color-components-option-card-option-bg-hover: #FFFFFF;
+  --color-components-option-card-option-border-hover: #D0D5DC;
 
-  --color-components-tab-active: #155aef;
+  --color-components-tab-active: #155AEF;
 
-  --color-components-badge-white-to-dark: #ffffff;
-  --color-components-badge-status-light-success-bg: #47cd89;
-  --color-components-badge-status-light-success-border-inner: #17b26a;
-  --color-components-badge-status-light-success-halo: #17b26a40;
+  --color-components-badge-white-to-dark: #FFFFFF;
+  --color-components-badge-status-light-success-bg: #47CD89;
+  --color-components-badge-status-light-success-border-inner: #17B26A;
+  --color-components-badge-status-light-success-halo: #17B26A40;
 
-  --color-components-badge-status-light-border-outer: #ffffff;
-  --color-components-badge-status-light-high-light: #ffffff4d;
-  --color-components-badge-status-light-warning-bg: #fdb022;
-  --color-components-badge-status-light-warning-border-inner: #f79009;
-  --color-components-badge-status-light-warning-halo: #f7900940;
+  --color-components-badge-status-light-border-outer: #FFFFFF;
+  --color-components-badge-status-light-high-light: #FFFFFF4D;
+  --color-components-badge-status-light-warning-bg: #FDB022;
+  --color-components-badge-status-light-warning-border-inner: #F79009;
+  --color-components-badge-status-light-warning-halo: #F7900940;
 
-  --color-components-badge-status-light-error-bg: #f97066;
-  --color-components-badge-status-light-error-border-inner: #f04438;
-  --color-components-badge-status-light-error-halo: #f0443840;
+  --color-components-badge-status-light-error-bg: #F97066;
+  --color-components-badge-status-light-error-border-inner: #F04438;
+  --color-components-badge-status-light-error-halo: #F0443840;
 
-  --color-components-badge-status-light-normal-bg: #36bffa;
-  --color-components-badge-status-light-normal-border-inner: #0ba5ec;
-  --color-components-badge-status-light-normal-halo: #0ba5ec40;
+  --color-components-badge-status-light-normal-bg: #36BFFA;
+  --color-components-badge-status-light-normal-border-inner: #0BA5EC;
+  --color-components-badge-status-light-normal-halo: #0BA5EC40;
 
-  --color-components-badge-status-light-disabled-bg: #98a2b2;
-  --color-components-badge-status-light-disabled-border-inner: #676f83;
-  --color-components-badge-status-light-disabled-halo: #1018280a;
+  --color-components-badge-status-light-disabled-bg: #98A2B2;
+  --color-components-badge-status-light-disabled-border-inner: #676F83;
+  --color-components-badge-status-light-disabled-halo: #1018280A;
 
-  --color-components-badge-bg-green-soft: #17b26a14;
-  --color-components-badge-bg-orange-soft: #f7900914;
-  --color-components-badge-bg-red-soft: #f0443814;
-  --color-components-badge-bg-blue-light-soft: #0ba5ec14;
-  --color-components-badge-bg-gray-soft: #1018280a;
-  --color-components-badge-bg-dimm: #ffffff0d;
+  --color-components-badge-bg-green-soft: #17B26A14;
+  --color-components-badge-bg-orange-soft: #F7900914;
+  --color-components-badge-bg-red-soft: #F0443814;
+  --color-components-badge-bg-blue-light-soft: #0BA5EC14;
+  --color-components-badge-bg-gray-soft: #1018280A;
 
-  --color-components-chart-line: #296dff;
-  --color-components-chart-area-1: #155aef24;
-  --color-components-chart-area-2: #155aef0a;
-  --color-components-chart-current-1: #155aef;
-  --color-components-chart-current-2: #d1e0ff;
-  --color-components-chart-bg: #ffffff;
+  --color-components-chart-line: #296DFF;
+  --color-components-chart-area-1: #155AEF24;
+  --color-components-chart-area-2: #155AEF0A;
+  --color-components-chart-current-1: #155AEF;
+  --color-components-chart-current-2: #D1E0FF;
+  --color-components-chart-bg: #FFFFFF;
 
-  --color-components-actionbar-bg: #fffffff2;
-  --color-components-actionbar-border: #1018280a;
-  --color-components-actionbar-bg-accent: #f5f7ff;
-  --color-components-actionbar-border-accent: #b2caff;
+  --color-components-actionbar-bg: #FFFFFFF2;
+  --color-components-actionbar-border: #1018280A;
+  --color-components-actionbar-bg-accent: #F5F7FF;
+  --color-components-actionbar-border-accent: #B2CAFF;
 
-  --color-components-dropzone-bg-alt: #f2f4f7;
-  --color-components-dropzone-bg: #f9fafb;
-  --color-components-dropzone-bg-accent: #155aef24;
+  --color-components-dropzone-bg-alt: #F2F4F7;
+  --color-components-dropzone-bg: #F9FAFB;
+  --color-components-dropzone-bg-accent: #155AEF24;
   --color-components-dropzone-border: #10182814;
   --color-components-dropzone-border-alt: #10182833;
-  --color-components-dropzone-border-accent: #84abff;
+  --color-components-dropzone-border-accent: #84ABFF;
 
-  --color-components-progress-brand-progress: #296dff;
-  --color-components-progress-brand-border: #296dff;
-  --color-components-progress-brand-bg: #155aef0a;
+  --color-components-progress-brand-progress: #296DFF;
+  --color-components-progress-brand-border: #296DFF;
+  --color-components-progress-brand-bg: #155AEF0A;
 
-  --color-components-progress-white-progress: #ffffff;
-  --color-components-progress-white-border: #fffffff2;
-  --color-components-progress-white-bg: #ffffff03;
+  --color-components-progress-white-progress: #FFFFFF;
+  --color-components-progress-white-border: #FFFFFFF2;
+  --color-components-progress-white-bg: #FFFFFF03;
 
-  --color-components-progress-gray-progress: #98a2b2;
-  --color-components-progress-gray-border: #98a2b2;
-  --color-components-progress-gray-bg: #c8ceda05;
+  --color-components-progress-gray-progress: #98A2B2;
+  --color-components-progress-gray-border: #98A2B2;
+  --color-components-progress-gray-bg: #C8CEDA05;
 
-  --color-components-progress-warning-progress: #f79009;
-  --color-components-progress-warning-border: #f79009;
-  --color-components-progress-warning-bg: #f790090a;
+  --color-components-progress-warning-progress: #F79009;
+  --color-components-progress-warning-border: #F79009;
+  --color-components-progress-warning-bg: #F790090A;
 
-  --color-components-progress-error-progress: #f04438;
-  --color-components-progress-error-border: #f04438;
-  --color-components-progress-error-bg: #f044380a;
+  --color-components-progress-error-progress: #F04438;
+  --color-components-progress-error-border: #F04438;
+  --color-components-progress-error-bg: #F044380A;
 
-  --color-components-chat-input-audio-bg: #eff4ff;
-  --color-components-chat-input-audio-wave-default: #155aef33;
-  --color-components-chat-input-bg-mask-1: #ffffff03;
-  --color-components-chat-input-bg-mask-2: #f2f4f7;
-  --color-components-chat-input-border: #ffffff;
-  --color-components-chat-input-audio-wave-active: #296dff;
-  --color-components-chat-input-audio-bg-alt: #fcfcfd;
+  --color-components-chat-input-audio-bg: #EFF4FF;
+  --color-components-chat-input-audio-wave-default: #155AEF33;
+  --color-components-chat-input-bg-mask-1: #FFFFFF03;
+  --color-components-chat-input-bg-mask-2: #F2F4F7;
+  --color-components-chat-input-border: #FFFFFF;
+  --color-components-chat-input-audio-wave-active: #296DFF;
+  --color-components-chat-input-audio-bg-alt: #FCFCFD;
 
-  --color-components-avatar-shape-fill-stop-0: #ffffff;
-  --color-components-avatar-shape-fill-stop-100: #ffffffe6;
+  --color-components-avatar-shape-fill-stop-0: #FFFFFF;
+  --color-components-avatar-shape-fill-stop-100: #FFFFFFE5;
 
-  --color-components-avatar-bg-mask-stop-0: #ffffff1f;
-  --color-components-avatar-bg-mask-stop-100: #ffffff14;
+  --color-components-avatar-bg-mask-stop-0: #FFFFFF1F;
+  --color-components-avatar-bg-mask-stop-100: #FFFFFF14;
 
-  --color-components-avatar-default-avatar-bg: #d0d5dc;
-  --color-components-avatar-mask-darkmode-dimmed: #ffffff00;
+  --color-components-avatar-default-avatar-bg: #D0D5DC;
+  --color-components-avatar-mask-darkmode-dimmed: #FFFFFF00;
 
-  --color-components-label-gray: #f2f4f7;
+  --color-components-label-gray: #F2F4F7;
 
-  --color-components-premium-badge-blue-bg-stop-0: #5289ff;
-  --color-components-premium-badge-blue-bg-stop-100: #155aef;
-  --color-components-premium-badge-blue-stroke-stop-0: #fffffff2;
-  --color-components-premium-badge-blue-stroke-stop-100: #155aef;
-  --color-components-premium-badge-blue-text-stop-0: #f5f7ff;
-  --color-components-premium-badge-blue-text-stop-100: #d1e0ff;
-  --color-components-premium-badge-blue-glow: #00329e;
-  --color-components-premium-badge-blue-bg-stop-0-hover: #296dff;
-  --color-components-premium-badge-blue-bg-stop-100-hover: #004aeb;
-  --color-components-premium-badge-blue-glow-hover: #84abff;
-  --color-components-premium-badge-blue-stroke-stop-0-hover: #fffffff2;
-  --color-components-premium-badge-blue-stroke-stop-100-hover: #00329e;
+  --color-components-premium-badge-blue-bg-stop-0: #5289FF;
+  --color-components-premium-badge-blue-bg-stop-100: #155AEF;
+  --color-components-premium-badge-blue-stroke-stop-0: #FFFFFFF2;
+  --color-components-premium-badge-blue-stroke-stop-100: #155AEF;
+  --color-components-premium-badge-blue-text-stop-0: #F5F7FF;
+  --color-components-premium-badge-blue-text-stop-100: #D1E0FF;
+  --color-components-premium-badge-blue-glow: #00329E;
+  --color-components-premium-badge-blue-bg-stop-0-hover: #296DFF;
+  --color-components-premium-badge-blue-bg-stop-100-hover: #004AEB;
+  --color-components-premium-badge-blue-glow-hover: #84ABFF;
+  --color-components-premium-badge-blue-stroke-stop-0-hover: #FFFFFFF2;
+  --color-components-premium-badge-blue-stroke-stop-100-hover: #00329E;
 
-  --color-components-premium-badge-highlight-stop-0: #ffffff1f;
-  --color-components-premium-badge-highlight-stop-100: #ffffff4d;
-  --color-components-premium-badge-indigo-bg-stop-0: #8098f9;
-  --color-components-premium-badge-indigo-bg-stop-100: #444ce7;
-  --color-components-premium-badge-indigo-stroke-stop-0: #fffffff2;
-  --color-components-premium-badge-indigo-stroke-stop-100: #6172f3;
-  --color-components-premium-badge-indigo-text-stop-0: #f5f8ff;
-  --color-components-premium-badge-indigo-text-stop-100: #e0eaff;
-  --color-components-premium-badge-indigo-glow: #2d3282;
-  --color-components-premium-badge-indigo-glow-hover: #a4bcfd;
-  --color-components-premium-badge-indigo-bg-stop-0-hover: #6172f3;
-  --color-components-premium-badge-indigo-bg-stop-100-hover: #2d31a6;
-  --color-components-premium-badge-indigo-stroke-stop-0-hover: #fffffff2;
-  --color-components-premium-badge-indigo-stroke-stop-100-hover: #2d31a6;
+  --color-components-premium-badge-highlight-stop-0: #FFFFFF1F;
+  --color-components-premium-badge-highlight-stop-100: #FFFFFF4D;
+  --color-components-premium-badge-indigo-bg-stop-0: #8098F9;
+  --color-components-premium-badge-indigo-bg-stop-100: #444CE7;
+  --color-components-premium-badge-indigo-stroke-stop-0: #FFFFFFF2;
+  --color-components-premium-badge-indigo-stroke-stop-100: #6172F3;
+  --color-components-premium-badge-indigo-text-stop-0: #F5F8FF;
+  --color-components-premium-badge-indigo-text-stop-100: #E0EAFF;
+  --color-components-premium-badge-indigo-glow: #2D3282;
+  --color-components-premium-badge-indigo-glow-hover: #A4BCFD;
+  --color-components-premium-badge-indigo-bg-stop-0-hover: #6172F3;
+  --color-components-premium-badge-indigo-bg-stop-100-hover: #2D31A6;
+  --color-components-premium-badge-indigo-stroke-stop-0-hover: #FFFFFFF2;
+  --color-components-premium-badge-indigo-stroke-stop-100-hover: #2D31A6;
 
-  --color-components-premium-badge-grey-bg-stop-0: #98a2b2;
-  --color-components-premium-badge-grey-bg-stop-100: #676f83;
-  --color-components-premium-badge-grey-stroke-stop-0: #fffffff2;
-  --color-components-premium-badge-grey-stroke-stop-100: #676f83;
-  --color-components-premium-badge-grey-text-stop-0: #fcfcfd;
-  --color-components-premium-badge-grey-text-stop-100: #f2f4f7;
+  --color-components-premium-badge-grey-bg-stop-0: #98A2B2;
+  --color-components-premium-badge-grey-bg-stop-100: #676F83;
+  --color-components-premium-badge-grey-stroke-stop-0: #FFFFFFF2;
+  --color-components-premium-badge-grey-stroke-stop-100: #676F83;
+  --color-components-premium-badge-grey-text-stop-0: #FCFCFD;
+  --color-components-premium-badge-grey-text-stop-100: #F2F4F7;
   --color-components-premium-badge-grey-glow: #101828;
-  --color-components-premium-badge-grey-glow-hover: #d0d5dc;
-  --color-components-premium-badge-grey-bg-stop-0-hover: #676f83;
+  --color-components-premium-badge-grey-glow-hover: #D0D5DC;
+  --color-components-premium-badge-grey-bg-stop-0-hover: #676F83;
   --color-components-premium-badge-grey-bg-stop-100-hover: #354052;
-  --color-components-premium-badge-grey-stroke-stop-0-hover: #fffffff2;
+  --color-components-premium-badge-grey-stroke-stop-0-hover: #FFFFFFF2;
   --color-components-premium-badge-grey-stroke-stop-100-hover: #354052;
 
-  --color-components-premium-badge-orange-bg-stop-0: #ff692e;
-  --color-components-premium-badge-orange-bg-stop-100: #e04f16;
-  --color-components-premium-badge-orange-stroke-stop-0: #fffffff2;
-  --color-components-premium-badge-orange-stroke-stop-100: #e62e05;
-  --color-components-premium-badge-orange-text-stop-0: #fefaf5;
-  --color-components-premium-badge-orange-text-stop-100: #fdead7;
+  --color-components-premium-badge-orange-bg-stop-0: #FF692E;
+  --color-components-premium-badge-orange-bg-stop-100: #E04F16;
+  --color-components-premium-badge-orange-stroke-stop-0: #FFFFFFF2;
+  --color-components-premium-badge-orange-stroke-stop-100: #E62E05;
+  --color-components-premium-badge-orange-text-stop-0: #FEFAF5;
+  --color-components-premium-badge-orange-text-stop-100: #FDEAD7;
   --color-components-premium-badge-orange-glow: #772917;
-  --color-components-premium-badge-orange-glow-hover: #f7b27a;
-  --color-components-premium-badge-orange-bg-stop-0-hover: #ff4405;
-  --color-components-premium-badge-orange-bg-stop-100-hover: #b93815;
-  --color-components-premium-badge-orange-stroke-stop-0-hover: #fffffff2;
-  --color-components-premium-badge-orange-stroke-stop-100-hover: #bc1b06;
+  --color-components-premium-badge-orange-glow-hover: #F7B27A;
+  --color-components-premium-badge-orange-bg-stop-0-hover: #FF4405;
+  --color-components-premium-badge-orange-bg-stop-100-hover: #B93815;
+  --color-components-premium-badge-orange-stroke-stop-0-hover: #FFFFFFF2;
+  --color-components-premium-badge-orange-stroke-stop-100-hover: #BC1B06;
 
-  --color-components-progress-bar-bg: #155aef0a;
-  --color-components-progress-bar-progress: #155aef24;
-  --color-components-progress-bar-border: #1018280a;
-  --color-components-progress-bar-progress-solid: #296dff;
-  --color-components-progress-bar-progress-highlight: #155aef33;
+  --color-components-progress-bar-bg: #155AEF0A;
+  --color-components-progress-bar-progress: #155AEF24;
+  --color-components-progress-bar-border: #1018280A;
+  --color-components-progress-bar-progress-solid: #296DFF;
+  --color-components-progress-bar-progress-highlight: #155AEF33;
 
-  --color-components-icon-bg-red-solid: #d92d20;
-  --color-components-icon-bg-rose-solid: #e31b54;
-  --color-components-icon-bg-pink-solid: #dd2590;
-  --color-components-icon-bg-orange-dark-solid: #ff4405;
-  --color-components-icon-bg-yellow-solid: #eaaa08;
-  --color-components-icon-bg-green-solid: #4ca30d;
-  --color-components-icon-bg-teal-solid: #0e9384;
-  --color-components-icon-bg-blue-light-solid: #0ba5ec;
-  --color-components-icon-bg-blue-solid: #155aef;
-  --color-components-icon-bg-indigo-solid: #444ce7;
-  --color-components-icon-bg-violet-solid: #7839ee;
-  --color-components-icon-bg-midnight-solid: #828dad;
-  --color-components-icon-bg-rose-soft: #fff1f3;
-  --color-components-icon-bg-pink-soft: #fdf2fa;
-  --color-components-icon-bg-orange-dark-soft: #fff4ed;
-  --color-components-icon-bg-yellow-soft: #fefbe8;
-  --color-components-icon-bg-green-soft: #f3fee7;
-  --color-components-icon-bg-teal-soft: #f0fdf9;
-  --color-components-icon-bg-blue-light-soft: #f0f9ff;
-  --color-components-icon-bg-blue-soft: #eff4ff;
-  --color-components-icon-bg-indigo-soft: #eef4ff;
-  --color-components-icon-bg-violet-soft: #f5f3ff;
-  --color-components-icon-bg-midnight-soft: #f0f2f5;
-  --color-components-icon-bg-red-soft: #fef3f2;
-  --color-components-icon-bg-orange-solid: #f79009;
-  --color-components-icon-bg-orange-soft: #fffaeb;
+  --color-components-icon-bg-red-solid: #D92D20;
+  --color-components-icon-bg-rose-solid: #E31B54;
+  --color-components-icon-bg-pink-solid: #DD2590;
+  --color-components-icon-bg-orange-dark-solid: #FF4405;
+  --color-components-icon-bg-yellow-solid: #EAAA08;
+  --color-components-icon-bg-green-solid: #4CA30D;
+  --color-components-icon-bg-teal-solid: #0E9384;
+  --color-components-icon-bg-blue-light-solid: #0BA5EC;
+  --color-components-icon-bg-blue-solid: #155AEF;
+  --color-components-icon-bg-indigo-solid: #444CE7;
+  --color-components-icon-bg-violet-solid: #7839EE;
+  --color-components-icon-bg-midnight-solid: #828DAD;
+  --color-components-icon-bg-rose-soft: #FFF1F3;
+  --color-components-icon-bg-pink-soft: #FDF2FA;
+  --color-components-icon-bg-orange-dark-soft: #FFF4ED;
+  --color-components-icon-bg-yellow-soft: #FEFBE8;
+  --color-components-icon-bg-green-soft: #F3FEE7;
+  --color-components-icon-bg-teal-soft: #F0FDF9;
+  --color-components-icon-bg-blue-light-soft: #F0F9FF;
+  --color-components-icon-bg-blue-soft: #EFF4FF;
+  --color-components-icon-bg-indigo-soft: #EEF4FF;
+  --color-components-icon-bg-violet-soft: #F5F3FF;
+  --color-components-icon-bg-midnight-soft: #F0F2F5;
+  --color-components-icon-bg-red-soft: #FEF3F2;
+  --color-components-icon-bg-orange-solid: #F79009;
+  --color-components-icon-bg-orange-soft: #FFFAEB;
 
   --color-text-primary: #101828;
   --color-text-secondary: #354052;
-  --color-text-tertiary: #676f83;
-  --color-text-quaternary: #1018284d;
-  --color-text-destructive: #d92d20;
+  --color-text-tertiary: #676F83;
+  --color-text-quaternary: #1018284D;
+  --color-text-destructive: #D92D20;
   --color-text-success: #079455;
-  --color-text-warning: #dc6803;
-  --color-text-destructive-secondary: #f04438;
-  --color-text-success-secondary: #17b26a;
-  --color-text-warning-secondary: #f79009;
-  --color-text-accent: #155aef;
-  --color-text-primary-on-surface: #ffffff;
-  --color-text-placeholder: #98a2b2;
-  --color-text-disabled: #d0d5dc;
-  --color-text-accent-secondary: #296dff;
-  --color-text-accent-light-mode-only: #155aef;
-  --color-text-text-selected: #155aef24;
-  --color-text-secondary-on-surface: #ffffffe6;
-  --color-text-logo-text: #18222f;
-  --color-text-empty-state-icon: #d0d5dc;
+  --color-text-warning: #DC6803;
+  --color-text-destructive-secondary: #F04438;
+  --color-text-success-secondary: #17B26A;
+  --color-text-warning-secondary: #F79009;
+  --color-text-accent: #155AEF;
+  --color-text-primary-on-surface: #FFFFFF;
+  --color-text-placeholder: #98A2B2;
+  --color-text-disabled: #D0D5DC;
+  --color-text-accent-secondary: #296DFF;
+  --color-text-accent-light-mode-only: #155AEF;
+  --color-text-text-selected: #155AEF24;
+  --color-text-secondary-on-surface: #FFFFFFE5;
+  --color-text-logo-text: #18222F;
+  --color-text-empty-state-icon: #D0D5DC;
   --color-text-inverted: #000000;
-  --color-text-inverted-dimmed: #000000f2;
+  --color-text-inverted-dimmed: #000000F2;
 
-  --color-background-body: #f2f4f7;
-  --color-background-default-subtle: #fcfcfd;
-  --color-background-neutral-subtle: #f9fafb;
-  --color-background-sidenav-bg: #ffffffcc;
-  --color-background-default: #ffffff;
-  --color-background-soft: #f9fafb;
-  --color-background-gradient-bg-fill-chat-bg-1: #f9fafb;
-  --color-background-gradient-bg-fill-chat-bg-2: #f2f4f7;
-  --color-background-gradient-bg-fill-chat-bubble-bg-1: #ffffff;
-  --color-background-gradient-bg-fill-chat-bubble-bg-2: #ffffff99;
-  --color-background-gradient-bg-fill-debug-bg-1: #ffffff00;
-  --color-background-gradient-bg-fill-debug-bg-2: #c8ceda24;
+  --color-background-body: #F2F4F7;
+  --color-background-default-subtle: #FCFCFD;
+  --color-background-neutral-subtle: #F9FAFB;
+  --color-background-sidenav-bg: #FFFFFFCC;
+  --color-background-default: #FFFFFF;
+  --color-background-soft: #F9FAFB;
+  --color-background-gradient-bg-fill-chat-bg-1: #F9FAFB;
+  --color-background-gradient-bg-fill-chat-bg-2: #F2F4F7;
+  --color-background-gradient-bg-fill-chat-bubble-bg-1: #FFFFFF;
+  --color-background-gradient-bg-fill-chat-bubble-bg-2: #FFFFFF99;
+  --color-background-gradient-bg-fill-debug-bg-1: #FFFFFF00;
+  --color-background-gradient-bg-fill-debug-bg-2: #C8CEDA24;
 
-  --color-background-gradient-mask-gray: #c8ceda33;
-  --color-background-gradient-mask-transparent: #ffffff00;
-  --color-background-gradient-mask-input-clear-2: #e9ebf000;
-  --color-background-gradient-mask-input-clear-1: #e9ebf0;
+  --color-background-gradient-mask-gray: #C8CEDA33;
+  --color-background-gradient-mask-transparent: #FFFFFF00;
+  --color-background-gradient-mask-input-clear-2: #E9EBF000;
+  --color-background-gradient-mask-input-clear-1: #E9EBF0;
   --color-background-gradient-mask-transparent-dark: #00000000;
-  --color-background-gradient-mask-side-panel-2: #1018284d;
+  --color-background-gradient-mask-side-panel-2: #1018284D;
   --color-background-gradient-mask-side-panel-1: #10182805;
 
-  --color-background-default-burn: #e9ebf0;
-  --color-background-overlay-fullscreen: #f9fafbf2;
-  --color-background-default-lighter: #ffffff80;
-  --color-background-section: #f9fafb;
-  --color-background-interaction-from-bg-1: #c8ceda33;
-  --color-background-interaction-from-bg-2: #c8ceda24;
-  --color-background-section-burn: #f2f4f7;
-  --color-background-default-dodge: #ffffff;
+  --color-background-default-burn: #E9EBF0;
+  --color-background-overlay-fullscreen: #F9FAFBF2;
+  --color-background-default-lighter: #FFFFFF80;
+  --color-background-section: #F9FAFB;
+  --color-background-interaction-from-bg-1: #C8CEDA33;
+  --color-background-interaction-from-bg-2: #C8CEDA24;
+  --color-background-section-burn: #F2F4F7;
+  --color-background-default-dodge: #FFFFFF;
   --color-background-overlay: #10182899;
-  --color-background-default-dimmed: #e9ebf0;
-  --color-background-default-hover: #f9fafb;
+  --color-background-default-dimmed: #E9EBF0;
+  --color-background-default-hover: #F9FAFB;
   --color-background-overlay-alt: #10182866;
-  --color-background-surface-white: #fffffff2;
-  --color-background-overlay-destructive: #f044384d;
-  --color-background-overlay-backdrop: #f2f4f7f2;
+  --color-background-surface-white: #FFFFFFF2;
+  --color-background-overlay-destructive: #F044384D;
+  --color-background-overlay-backdrop: #F2F4F7F2;
 
-  --color-shadow-shadow-1: #09090b08;
-  --color-shadow-shadow-3: #09090b0d;
-  --color-shadow-shadow-4: #09090b0f;
-  --color-shadow-shadow-5: #09090b14;
-  --color-shadow-shadow-6: #09090b1a;
-  --color-shadow-shadow-7: #09090b1f;
-  --color-shadow-shadow-8: #09090b24;
-  --color-shadow-shadow-9: #09090b2e;
-  --color-shadow-shadow-2: #09090b0a;
-  --color-shadow-shadow-10: #09090b0d;
+  --color-shadow-shadow-1: #09090B08;
+  --color-shadow-shadow-3: #09090B0D;
+  --color-shadow-shadow-4: #09090B0F;
+  --color-shadow-shadow-5: #09090B14;
+  --color-shadow-shadow-6: #09090B1A;
+  --color-shadow-shadow-7: #09090B1F;
+  --color-shadow-shadow-8: #09090B24;
+  --color-shadow-shadow-9: #09090B2E;
+  --color-shadow-shadow-2: #09090B0A;
+  --color-shadow-shadow-10: #09090B0D;
 
-  --color-workflow-block-border: #ffffff;
-  --color-workflow-block-parma-bg: #f2f4f7;
-  --color-workflow-block-bg: #fcfcfd;
-  --color-workflow-block-bg-transparent: #fcfcfde6;
-  --color-workflow-block-border-highlight: #155aef24;
+  --color-workflow-block-border: #FFFFFF;
+  --color-workflow-block-parma-bg: #F2F4F7;
+  --color-workflow-block-bg: #FCFCFD;
+  --color-workflow-block-bg-transparent: #FCFCFDE5;
+  --color-workflow-block-border-highlight: #155AEF24;
 
-  --color-workflow-canvas-workflow-dot-color: #8585ad26;
-  --color-workflow-canvas-workflow-bg: #f2f4f7;
+  --color-workflow-canvas-workflow-dot-color: #8585AD26;
+  --color-workflow-canvas-workflow-bg: #F2F4F7;
 
-  --color-workflow-link-line-active: #296dff;
-  --color-workflow-link-line-normal: #d0d5dc;
-  --color-workflow-link-line-handle: #296dff;
-  --color-workflow-link-line-normal-transparent: #d0d5dc33;
-  --color-workflow-link-line-failure-active: #f79009;
-  --color-workflow-link-line-failure-handle: #f79009;
-  --color-workflow-link-line-failure-button-bg: #dc6803;
-  --color-workflow-link-line-failure-button-hover: #b54708;
+  --color-workflow-link-line-active: #296DFF;
+  --color-workflow-link-line-normal: #D0D5DC;
+  --color-workflow-link-line-handle: #296DFF;
+  --color-workflow-link-line-normal-transparent: #D0D5DC33;
+  --color-workflow-link-line-failure-active: #F79009;
+  --color-workflow-link-line-failure-handle: #F79009;
+  --color-workflow-link-line-failure-button-bg: #DC6803;
+  --color-workflow-link-line-failure-button-hover: #B54708;
 
-  --color-workflow-link-line-success-active: #17b26a;
-  --color-workflow-link-line-success-handle: #17b26a;
+  --color-workflow-link-line-success-active: #17B26A;
+  --color-workflow-link-line-success-handle: #17B26A;
 
-  --color-workflow-link-line-error-active: #f04438;
-  --color-workflow-link-line-error-handle: #f04438;
+  --color-workflow-link-line-error-active: #F04438;
+  --color-workflow-link-line-error-handle: #F04438;
 
-  --color-workflow-minimap-bg: #e9ebf0;
-  --color-workflow-minimap-block: #c8ceda4d;
+  --color-workflow-minimap-bg: #E9EBF0;
+  --color-workflow-minimap-block: #C8CEDA4D;
 
-  --color-workflow-display-success-bg: #ecfdf3;
-  --color-workflow-display-success-border-1: #17b26acc;
-  --color-workflow-display-success-border-2: #17b26a80;
-  --color-workflow-display-success-vignette-color: #17b26a33;
-  --color-workflow-display-success-bg-line-pattern: #17b26a4d;
+  --color-workflow-display-success-bg: #ECFDF3;
+  --color-workflow-display-success-border-1: #17B26ACC;
+  --color-workflow-display-success-border-2: #17B26A80;
+  --color-workflow-display-success-vignette-color: #17B26A33;
+  --color-workflow-display-success-bg-line-pattern: #17B26A4D;
 
-  --color-workflow-display-glass-1: #ffffff1f;
-  --color-workflow-display-glass-2: #ffffff80;
-  --color-workflow-display-vignette-dark: #0000001f;
-  --color-workflow-display-highlight: #ffffff80;
-  --color-workflow-display-outline: #0000000d;
-  --color-workflow-display-error-bg: #fef3f2;
-  --color-workflow-display-error-bg-line-pattern: #f044384d;
-  --color-workflow-display-error-border-1: #f04438cc;
-  --color-workflow-display-error-border-2: #f0443880;
-  --color-workflow-display-error-vignette-color: #f0443833;
+  --color-workflow-display-glass-1: #FFFFFF1F;
+  --color-workflow-display-glass-2: #FFFFFF80;
+  --color-workflow-display-vignette-dark: #0000001F;
+  --color-workflow-display-highlight: #FFFFFF80;
+  --color-workflow-display-outline: #0000000D;
+  --color-workflow-display-error-bg: #FEF3F2;
+  --color-workflow-display-error-bg-line-pattern: #F044384D;
+  --color-workflow-display-error-border-1: #F04438CC;
+  --color-workflow-display-error-border-2: #F0443880;
+  --color-workflow-display-error-vignette-color: #F0443833;
 
-  --color-workflow-display-warning-bg: #fffaeb;
-  --color-workflow-display-warning-bg-line-pattern: #f790094d;
-  --color-workflow-display-warning-border-1: #f79009cc;
-  --color-workflow-display-warning-border-2: #f7900980;
-  --color-workflow-display-warning-vignette-color: #f7900933;
+  --color-workflow-display-warning-bg: #FFFAEB;
+  --color-workflow-display-warning-bg-line-pattern: #F790094D;
+  --color-workflow-display-warning-border-1: #F79009CC;
+  --color-workflow-display-warning-border-2: #F7900980;
+  --color-workflow-display-warning-vignette-color: #F7900933;
 
-  --color-workflow-display-normal-bg: #f0f9ff;
-  --color-workflow-display-normal-bg-line-pattern: #0ba5ec4d;
-  --color-workflow-display-normal-border-1: #0ba5eccc;
-  --color-workflow-display-normal-border-2: #0ba5ec80;
-  --color-workflow-display-normal-vignette-color: #0ba5ec33;
+  --color-workflow-display-normal-bg: #F0F9FF;
+  --color-workflow-display-normal-bg-line-pattern: #0BA5EC4D;
+  --color-workflow-display-normal-border-1: #0BA5ECCC;
+  --color-workflow-display-normal-border-2: #0BA5EC80;
+  --color-workflow-display-normal-vignette-color: #0BA5EC33;
 
-  --color-workflow-display-disabled-bg: #f9fafb;
-  --color-workflow-display-disabled-bg-line-pattern: #c8ceda4d;
-  --color-workflow-display-disabled-border-1: #c8ceda99;
-  --color-workflow-display-disabled-border-2: #c8ceda66;
-  --color-workflow-display-disabled-vignette-color: #c8ceda66;
+  --color-workflow-display-disabled-bg: #F9FAFB;
+  --color-workflow-display-disabled-bg-line-pattern: #C8CEDA4D;
+  --color-workflow-display-disabled-border-1: #C8CEDA99;
+  --color-workflow-display-disabled-border-2: #C8CEDA66;
+  --color-workflow-display-disabled-vignette-color: #C8CEDA66;
   --color-workflow-display-disabled-outline: #00000000;
 
-  --color-workflow-workflow-progress-bg-1: #c8ceda33;
-  --color-workflow-workflow-progress-bg-2: #c8ceda0a;
+  --color-workflow-workflow-progress-bg-1: #C8CEDA33;
+  --color-workflow-workflow-progress-bg-2: #C8CEDA0A;
 
-  --color-divider-subtle: #1018280a;
+  --color-divider-subtle: #1018280A;
   --color-divider-regular: #10182814;
   --color-divider-deep: #10182824;
-  --color-divider-burn: #1018280a;
-  --color-divider-intense: #1018284d;
-  --color-divider-solid: #d0d5dc;
-  --color-divider-solid-alt: #98a2b2;
+  --color-divider-burn: #1018280A;
+  --color-divider-intense: #1018284D;
+  --color-divider-solid: #D0D5DC;
+  --color-divider-solid-alt: #98A2B2;
 
-  --color-state-base-hover: #c8ceda33;
-  --color-state-base-active: #c8ceda66;
-  --color-state-base-hover-alt: #c8ceda66;
+  --color-state-base-hover: #C8CEDA33;
+  --color-state-base-active: #C8CEDA66;
+  --color-state-base-hover-alt: #C8CEDA66;
   --color-state-base-handle: #10182833;
-  --color-state-base-handle-hover: #1018284d;
-  --color-state-base-hover-subtle: #c8ceda14;
+  --color-state-base-handle-hover: #1018284D;
 
-  --color-state-accent-hover: #eff4ff;
-  --color-state-accent-active: #155aef14;
-  --color-state-accent-hover-alt: #d1e0ff;
-  --color-state-accent-solid: #296dff;
-  --color-state-accent-active-alt: #155aef24;
+  --color-state-accent-hover: #EFF4FF;
+  --color-state-accent-active: #155AEF14;
+  --color-state-accent-hover-alt: #D1E0FF;
+  --color-state-accent-solid: #296DFF;
+  --color-state-accent-active-alt: #155AEF24;
 
-  --color-state-destructive-hover: #fef3f2;
-  --color-state-destructive-hover-alt: #fee4e2;
-  --color-state-destructive-active: #fecdca;
-  --color-state-destructive-solid: #f04438;
-  --color-state-destructive-border: #fda29b;
+  --color-state-destructive-hover: #FEF3F2;
+  --color-state-destructive-hover-alt: #FEE4E2;
+  --color-state-destructive-active: #FECDCA;
+  --color-state-destructive-solid: #F04438;
+  --color-state-destructive-border: #FDA29B;
 
-  --color-state-success-hover: #ecfdf3;
-  --color-state-success-hover-alt: #dcfae6;
-  --color-state-success-active: #abefc6;
-  --color-state-success-solid: #17b26a;
+  --color-state-success-hover: #ECFDF3;
+  --color-state-success-hover-alt: #DCFAE6;
+  --color-state-success-active: #ABEFC6;
+  --color-state-success-solid: #17B26A;
 
-  --color-state-warning-hover: #fffaeb;
-  --color-state-warning-hover-alt: #fef0c7;
-  --color-state-warning-active: #fedf89;
-  --color-state-warning-solid: #f79009;
+  --color-state-warning-hover: #FFFAEB;
+  --color-state-warning-hover-alt: #FEF0C7;
+  --color-state-warning-active: #FEDF89;
+  --color-state-warning-solid: #F79009;
 
-  --color-effects-highlight: #ffffff;
-  --color-effects-highlight-lightmode-off: #ffffff00;
-  --color-effects-image-frame: #ffffff;
+  --color-effects-highlight: #FFFFFF;
+  --color-effects-highlight-lightmode-off: #FFFFFF00;
+  --color-effects-image-frame: #FFFFFF;
 
-  --color-util-colors-orange-dark-orange-dark-50: #fff4ed;
-  --color-util-colors-orange-dark-orange-dark-100: #ffe6d5;
-  --color-util-colors-orange-dark-orange-dark-200: #ffd6ae;
-  --color-util-colors-orange-dark-orange-dark-300: #ff9c66;
-  --color-util-colors-orange-dark-orange-dark-400: #ff692e;
-  --color-util-colors-orange-dark-orange-dark-500: #ff4405;
-  --color-util-colors-orange-dark-orange-dark-600: #e62e05;
-  --color-util-colors-orange-dark-orange-dark-700: #bc1b06;
+  --color-util-colors-orange-dark-orange-dark-50: #FFF4ED;
+  --color-util-colors-orange-dark-orange-dark-100: #FFE6D5;
+  --color-util-colors-orange-dark-orange-dark-200: #FFD6AE;
+  --color-util-colors-orange-dark-orange-dark-300: #FF9C66;
+  --color-util-colors-orange-dark-orange-dark-400: #FF692E;
+  --color-util-colors-orange-dark-orange-dark-500: #FF4405;
+  --color-util-colors-orange-dark-orange-dark-600: #E62E05;
+  --color-util-colors-orange-dark-orange-dark-700: #BC1B06;
 
-  --color-util-colors-orange-orange-50: #fef6ee;
-  --color-util-colors-orange-orange-100: #fdead7;
-  --color-util-colors-orange-orange-200: #f9dbaf;
-  --color-util-colors-orange-orange-300: #f7b27a;
-  --color-util-colors-orange-orange-400: #f38744;
-  --color-util-colors-orange-orange-500: #ef6820;
-  --color-util-colors-orange-orange-600: #e04f16;
-  --color-util-colors-orange-orange-700: #b93815;
-  --color-util-colors-orange-orange-100-transparent: #fdead700;
+  --color-util-colors-orange-orange-50: #FEF6EE;
+  --color-util-colors-orange-orange-100: #FDEAD7;
+  --color-util-colors-orange-orange-200: #F9DBAF;
+  --color-util-colors-orange-orange-300: #F7B27A;
+  --color-util-colors-orange-orange-400: #F38744;
+  --color-util-colors-orange-orange-500: #EF6820;
+  --color-util-colors-orange-orange-600: #E04F16;
+  --color-util-colors-orange-orange-700: #B93815;
+  --color-util-colors-orange-orange-100-transparent: #FDEAD700;
 
-  --color-util-colors-pink-pink-50: #fdf2fa;
-  --color-util-colors-pink-pink-100: #fce7f6;
-  --color-util-colors-pink-pink-200: #fcceee;
-  --color-util-colors-pink-pink-300: #faa7e0;
-  --color-util-colors-pink-pink-400: #f670c7;
-  --color-util-colors-pink-pink-500: #ee46bc;
-  --color-util-colors-pink-pink-600: #dd2590;
-  --color-util-colors-pink-pink-700: #c11574;
+  --color-util-colors-pink-pink-50: #FDF2FA;
+  --color-util-colors-pink-pink-100: #FCE7F6;
+  --color-util-colors-pink-pink-200: #FCCEEE;
+  --color-util-colors-pink-pink-300: #FAA7E0;
+  --color-util-colors-pink-pink-400: #F670C7;
+  --color-util-colors-pink-pink-500: #EE46BC;
+  --color-util-colors-pink-pink-600: #DD2590;
+  --color-util-colors-pink-pink-700: #C11574;
 
-  --color-util-colors-fuchsia-fuchsia-50: #fdf4ff;
-  --color-util-colors-fuchsia-fuchsia-100: #fbe8ff;
-  --color-util-colors-fuchsia-fuchsia-200: #f6d0fe;
-  --color-util-colors-fuchsia-fuchsia-300: #eeaafd;
-  --color-util-colors-fuchsia-fuchsia-400: #e478fa;
-  --color-util-colors-fuchsia-fuchsia-500: #d444f1;
-  --color-util-colors-fuchsia-fuchsia-600: #ba24d5;
-  --color-util-colors-fuchsia-fuchsia-700: #9f1ab1;
+  --color-util-colors-fuchsia-fuchsia-50: #FDF4FF;
+  --color-util-colors-fuchsia-fuchsia-100: #FBE8FF;
+  --color-util-colors-fuchsia-fuchsia-200: #F6D0FE;
+  --color-util-colors-fuchsia-fuchsia-300: #EEAAFD;
+  --color-util-colors-fuchsia-fuchsia-400: #E478FA;
+  --color-util-colors-fuchsia-fuchsia-500: #D444F1;
+  --color-util-colors-fuchsia-fuchsia-600: #BA24D5;
+  --color-util-colors-fuchsia-fuchsia-700: #9F1AB1;
 
-  --color-util-colors-purple-purple-50: #f4f3ff;
-  --color-util-colors-purple-purple-100: #ebe9fe;
-  --color-util-colors-purple-purple-200: #d9d6fe;
-  --color-util-colors-purple-purple-300: #bdb4fe;
-  --color-util-colors-purple-purple-400: #9b8afb;
-  --color-util-colors-purple-purple-500: #7a5af8;
-  --color-util-colors-purple-purple-600: #6938ef;
-  --color-util-colors-purple-purple-700: #5925dc;
+  --color-util-colors-purple-purple-50: #F4F3FF;
+  --color-util-colors-purple-purple-100: #EBE9FE;
+  --color-util-colors-purple-purple-200: #D9D6FE;
+  --color-util-colors-purple-purple-300: #BDB4FE;
+  --color-util-colors-purple-purple-400: #9B8AFB;
+  --color-util-colors-purple-purple-500: #7A5AF8;
+  --color-util-colors-purple-purple-600: #6938EF;
+  --color-util-colors-purple-purple-700: #5925DC;
 
-  --color-util-colors-indigo-indigo-50: #eef4ff;
-  --color-util-colors-indigo-indigo-100: #e0eaff;
-  --color-util-colors-indigo-indigo-200: #c7d7fe;
-  --color-util-colors-indigo-indigo-300: #a4bcfd;
-  --color-util-colors-indigo-indigo-400: #8098f9;
-  --color-util-colors-indigo-indigo-500: #6172f3;
-  --color-util-colors-indigo-indigo-600: #444ce7;
-  --color-util-colors-indigo-indigo-700: #3538cd;
+  --color-util-colors-indigo-indigo-50: #EEF4FF;
+  --color-util-colors-indigo-indigo-100: #E0EAFF;
+  --color-util-colors-indigo-indigo-200: #C7D7FE;
+  --color-util-colors-indigo-indigo-300: #A4BCFD;
+  --color-util-colors-indigo-indigo-400: #8098F9;
+  --color-util-colors-indigo-indigo-500: #6172F3;
+  --color-util-colors-indigo-indigo-600: #444CE7;
+  --color-util-colors-indigo-indigo-700: #3538CD;
 
-  --color-util-colors-blue-blue-50: #eff8ff;
-  --color-util-colors-blue-blue-100: #d1e9ff;
-  --color-util-colors-blue-blue-200: #b2ddff;
-  --color-util-colors-blue-blue-300: #84caff;
-  --color-util-colors-blue-blue-400: #53b1fd;
-  --color-util-colors-blue-blue-500: #2e90fa;
-  --color-util-colors-blue-blue-600: #1570ef;
-  --color-util-colors-blue-blue-700: #175cd3;
+  --color-util-colors-blue-blue-50: #EFF8FF;
+  --color-util-colors-blue-blue-100: #D1E9FF;
+  --color-util-colors-blue-blue-200: #B2DDFF;
+  --color-util-colors-blue-blue-300: #84CAFF;
+  --color-util-colors-blue-blue-400: #53B1FD;
+  --color-util-colors-blue-blue-500: #2E90FA;
+  --color-util-colors-blue-blue-600: #1570EF;
+  --color-util-colors-blue-blue-700: #175CD3;
 
-  --color-util-colors-blue-light-blue-light-50: #f0f9ff;
-  --color-util-colors-blue-light-blue-light-100: #e0f2fe;
-  --color-util-colors-blue-light-blue-light-200: #b9e6fe;
-  --color-util-colors-blue-light-blue-light-300: #7cd4fd;
-  --color-util-colors-blue-light-blue-light-400: #36bffa;
-  --color-util-colors-blue-light-blue-light-500: #0ba5ec;
-  --color-util-colors-blue-light-blue-light-600: #0086c9;
-  --color-util-colors-blue-light-blue-light-700: #026aa2;
+  --color-util-colors-blue-light-blue-light-50: #F0F9FF;
+  --color-util-colors-blue-light-blue-light-100: #E0F2FE;
+  --color-util-colors-blue-light-blue-light-200: #B9E6FE;
+  --color-util-colors-blue-light-blue-light-300: #7CD4FD;
+  --color-util-colors-blue-light-blue-light-400: #36BFFA;
+  --color-util-colors-blue-light-blue-light-500: #0BA5EC;
+  --color-util-colors-blue-light-blue-light-600: #0086C9;
+  --color-util-colors-blue-light-blue-light-700: #026AA2;
 
-  --color-util-colors-gray-blue-gray-blue-50: #f8f9fc;
-  --color-util-colors-gray-blue-gray-blue-100: #eaecf5;
-  --color-util-colors-gray-blue-gray-blue-200: #d5d9eb;
-  --color-util-colors-gray-blue-gray-blue-300: #b3b8db;
-  --color-util-colors-gray-blue-gray-blue-400: #717bbc;
-  --color-util-colors-gray-blue-gray-blue-500: #4e5ba6;
-  --color-util-colors-gray-blue-gray-blue-600: #3e4784;
-  --color-util-colors-gray-blue-gray-blue-700: #363f72;
+  --color-util-colors-gray-blue-gray-blue-50: #F8F9FC;
+  --color-util-colors-gray-blue-gray-blue-100: #EAECF5;
+  --color-util-colors-gray-blue-gray-blue-200: #D5D9EB;
+  --color-util-colors-gray-blue-gray-blue-300: #B3B8DB;
+  --color-util-colors-gray-blue-gray-blue-400: #717BBC;
+  --color-util-colors-gray-blue-gray-blue-500: #4E5BA6;
+  --color-util-colors-gray-blue-gray-blue-600: #3E4784;
+  --color-util-colors-gray-blue-gray-blue-700: #363F72;
 
-  --color-util-colors-blue-brand-blue-brand-50: #f5f7ff;
-  --color-util-colors-blue-brand-blue-brand-100: #d1e0ff;
-  --color-util-colors-blue-brand-blue-brand-200: #b2caff;
-  --color-util-colors-blue-brand-blue-brand-300: #84abff;
-  --color-util-colors-blue-brand-blue-brand-400: #5289ff;
-  --color-util-colors-blue-brand-blue-brand-500: #296dff;
-  --color-util-colors-blue-brand-blue-brand-600: #155aef;
-  --color-util-colors-blue-brand-blue-brand-700: #004aeb;
+  --color-util-colors-blue-brand-blue-brand-50: #F5F7FF;
+  --color-util-colors-blue-brand-blue-brand-100: #D1E0FF;
+  --color-util-colors-blue-brand-blue-brand-200: #B2CAFF;
+  --color-util-colors-blue-brand-blue-brand-300: #84ABFF;
+  --color-util-colors-blue-brand-blue-brand-400: #5289FF;
+  --color-util-colors-blue-brand-blue-brand-500: #296DFF;
+  --color-util-colors-blue-brand-blue-brand-600: #155AEF;
+  --color-util-colors-blue-brand-blue-brand-700: #004AEB;
 
-  --color-util-colors-red-red-50: #fef3f2;
-  --color-util-colors-red-red-100: #fee4e2;
-  --color-util-colors-red-red-200: #fecdca;
-  --color-util-colors-red-red-300: #fda29b;
-  --color-util-colors-red-red-400: #f97066;
-  --color-util-colors-red-red-500: #f04438;
-  --color-util-colors-red-red-600: #d92d20;
-  --color-util-colors-red-red-700: #b42318;
+  --color-util-colors-red-red-50: #FEF3F2;
+  --color-util-colors-red-red-100: #FEE4E2;
+  --color-util-colors-red-red-200: #FECDCA;
+  --color-util-colors-red-red-300: #FDA29B;
+  --color-util-colors-red-red-400: #F97066;
+  --color-util-colors-red-red-500: #F04438;
+  --color-util-colors-red-red-600: #D92D20;
+  --color-util-colors-red-red-700: #B42318;
 
-  --color-util-colors-green-green-50: #ecfdf3;
-  --color-util-colors-green-green-100: #dcfae6;
-  --color-util-colors-green-green-200: #abefc6;
-  --color-util-colors-green-green-300: #75e0a7;
-  --color-util-colors-green-green-400: #47cd89;
-  --color-util-colors-green-green-500: #17b26a;
+  --color-util-colors-green-green-50: #ECFDF3;
+  --color-util-colors-green-green-100: #DCFAE6;
+  --color-util-colors-green-green-200: #ABEFC6;
+  --color-util-colors-green-green-300: #75E0A7;
+  --color-util-colors-green-green-400: #47CD89;
+  --color-util-colors-green-green-500: #17B26A;
   --color-util-colors-green-green-600: #079455;
   --color-util-colors-green-green-700: #067647;
 
-  --color-util-colors-warning-warning-50: #fffaeb;
-  --color-util-colors-warning-warning-100: #fef0c7;
-  --color-util-colors-warning-warning-200: #fedf89;
-  --color-util-colors-warning-warning-300: #fec84b;
-  --color-util-colors-warning-warning-400: #fdb022;
-  --color-util-colors-warning-warning-500: #f79009;
-  --color-util-colors-warning-warning-600: #dc6803;
-  --color-util-colors-warning-warning-700: #b54708;
+  --color-util-colors-warning-warning-50: #FFFAEB;
+  --color-util-colors-warning-warning-100: #FEF0C7;
+  --color-util-colors-warning-warning-200: #FEDF89;
+  --color-util-colors-warning-warning-300: #FEC84B;
+  --color-util-colors-warning-warning-400: #FDB022;
+  --color-util-colors-warning-warning-500: #F79009;
+  --color-util-colors-warning-warning-600: #DC6803;
+  --color-util-colors-warning-warning-700: #B54708;
 
-  --color-util-colors-yellow-yellow-50: #fefbe8;
-  --color-util-colors-yellow-yellow-100: #fef7c3;
-  --color-util-colors-yellow-yellow-200: #feee95;
-  --color-util-colors-yellow-yellow-300: #fde272;
-  --color-util-colors-yellow-yellow-400: #fac515;
-  --color-util-colors-yellow-yellow-500: #eaaa08;
-  --color-util-colors-yellow-yellow-600: #ca8504;
-  --color-util-colors-yellow-yellow-700: #a15c07;
+  --color-util-colors-yellow-yellow-50: #FEFBE8;
+  --color-util-colors-yellow-yellow-100: #FEF7C3;
+  --color-util-colors-yellow-yellow-200: #FEEE95;
+  --color-util-colors-yellow-yellow-300: #FDE272;
+  --color-util-colors-yellow-yellow-400: #FAC515;
+  --color-util-colors-yellow-yellow-500: #EAAA08;
+  --color-util-colors-yellow-yellow-600: #CA8504;
+  --color-util-colors-yellow-yellow-700: #A15C07;
 
-  --color-util-colors-teal-teal-50: #f0fdf9;
-  --color-util-colors-teal-teal-100: #ccfbef;
-  --color-util-colors-teal-teal-200: #99f6e0;
-  --color-util-colors-teal-teal-300: #5fe9d0;
-  --color-util-colors-teal-teal-400: #2ed3b7;
-  --color-util-colors-teal-teal-500: #15b79e;
-  --color-util-colors-teal-teal-600: #0e9384;
+  --color-util-colors-teal-teal-50: #F0FDF9;
+  --color-util-colors-teal-teal-100: #CCFBEF;
+  --color-util-colors-teal-teal-200: #99F6E0;
+  --color-util-colors-teal-teal-300: #5FE9D0;
+  --color-util-colors-teal-teal-400: #2ED3B7;
+  --color-util-colors-teal-teal-500: #15B79E;
+  --color-util-colors-teal-teal-600: #0E9384;
   --color-util-colors-teal-teal-700: #107569;
 
-  --color-util-colors-cyan-cyan-50: #ecfdff;
-  --color-util-colors-cyan-cyan-100: #cff9fe;
-  --color-util-colors-cyan-cyan-200: #a5f0fc;
-  --color-util-colors-cyan-cyan-300: #67e3f9;
-  --color-util-colors-cyan-cyan-400: #22ccee;
-  --color-util-colors-cyan-cyan-500: #06aed4;
-  --color-util-colors-cyan-cyan-600: #088ab2;
-  --color-util-colors-cyan-cyan-700: #0e7090;
+  --color-util-colors-cyan-cyan-50: #ECFDFF;
+  --color-util-colors-cyan-cyan-100: #CFF9FE;
+  --color-util-colors-cyan-cyan-200: #A5F0FC;
+  --color-util-colors-cyan-cyan-300: #67E3F9;
+  --color-util-colors-cyan-cyan-400: #22CCEE;
+  --color-util-colors-cyan-cyan-500: #06AED4;
+  --color-util-colors-cyan-cyan-600: #088AB2;
+  --color-util-colors-cyan-cyan-700: #0E7090;
 
-  --color-util-colors-violet-violet-50: #f5f3ff;
-  --color-util-colors-violet-violet-100: #ece9fe;
-  --color-util-colors-violet-violet-200: #ddd6fe;
-  --color-util-colors-violet-violet-300: #c3b5fd;
-  --color-util-colors-violet-violet-400: #a48afb;
-  --color-util-colors-violet-violet-500: #875bf7;
-  --color-util-colors-violet-violet-600: #7839ee;
-  --color-util-colors-violet-violet-700: #6927da;
+  --color-util-colors-violet-violet-50: #F5F3FF;
+  --color-util-colors-violet-violet-100: #ECE9FE;
+  --color-util-colors-violet-violet-200: #DDD6FE;
+  --color-util-colors-violet-violet-300: #C3B5FD;
+  --color-util-colors-violet-violet-400: #A48AFB;
+  --color-util-colors-violet-violet-500: #875BF7;
+  --color-util-colors-violet-violet-600: #7839EE;
+  --color-util-colors-violet-violet-700: #6927DA;
 
-  --color-util-colors-gray-gray-50: #f9fafb;
-  --color-util-colors-gray-gray-100: #f2f4f7;
-  --color-util-colors-gray-gray-200: #e9ebf0;
-  --color-util-colors-gray-gray-300: #d0d5dc;
-  --color-util-colors-gray-gray-400: #98a2b2;
-  --color-util-colors-gray-gray-500: #676f83;
+  --color-util-colors-gray-gray-50: #F9FAFB;
+  --color-util-colors-gray-gray-100: #F2F4F7;
+  --color-util-colors-gray-gray-200: #E9EBF0;
+  --color-util-colors-gray-gray-300: #D0D5DC;
+  --color-util-colors-gray-gray-400: #98A2B2;
+  --color-util-colors-gray-gray-500: #676F83;
   --color-util-colors-gray-gray-600: #495464;
   --color-util-colors-gray-gray-700: #354052;
 
-  --color-util-colors-green-light-green-light-50: #f3fee7;
-  --color-util-colors-green-light-green-light-100: #e3fbcc;
-  --color-util-colors-green-light-green-light-200: #d0f8ab;
-  --color-util-colors-green-light-green-light-300: #a6ef67;
-  --color-util-colors-green-light-green-light-500: #66c61c;
-  --color-util-colors-green-light-green-light-400: #85e13a;
-  --color-util-colors-green-light-green-light-600: #4ca30d;
-  --color-util-colors-green-light-green-light-700: #3b7c0f;
+  --color-util-colors-green-light-green-light-50: #F3FEE7;
+  --color-util-colors-green-light-green-light-100: #E3FBCC;
+  --color-util-colors-green-light-green-light-200: #D0F8AB;
+  --color-util-colors-green-light-green-light-300: #A6EF67;
+  --color-util-colors-green-light-green-light-500: #66C61C;
+  --color-util-colors-green-light-green-light-400: #85E13A;
+  --color-util-colors-green-light-green-light-600: #4CA30D;
+  --color-util-colors-green-light-green-light-700: #3B7C0F;
 
-  --color-util-colors-rose-rose-50: #fff1f3;
-  --color-util-colors-rose-rose-100: #ffe4e8;
-  --color-util-colors-rose-rose-200: #fecdd6;
-  --color-util-colors-rose-rose-300: #fea3b4;
-  --color-util-colors-rose-rose-400: #fd6f8e;
-  --color-util-colors-rose-rose-500: #f63d68;
-  --color-util-colors-rose-rose-600: #e31b54;
-  --color-util-colors-rose-rose-700: #c01048;
+  --color-util-colors-rose-rose-50: #FFF1F3;
+  --color-util-colors-rose-rose-100: #FFE4E8;
+  --color-util-colors-rose-rose-200: #FECDD6;
+  --color-util-colors-rose-rose-300: #FEA3B4;
+  --color-util-colors-rose-rose-400: #FD6F8E;
+  --color-util-colors-rose-rose-500: #F63D68;
+  --color-util-colors-rose-rose-600: #E31B54;
+  --color-util-colors-rose-rose-700: #C01048;
 
-  --color-util-colors-midnight-midnight-50: #fbfbfc;
-  --color-util-colors-midnight-midnight-100: #f0f2f5;
-  --color-util-colors-midnight-midnight-200: #dfe1ea;
-  --color-util-colors-midnight-midnight-300: #c6cbd9;
-  --color-util-colors-midnight-midnight-400: #a7aec5;
-  --color-util-colors-midnight-midnight-500: #828dad;
-  --color-util-colors-midnight-midnight-600: #5d698d;
-  --color-util-colors-midnight-midnight-700: #3e465e;
+  --color-util-colors-midnight-midnight-50: #FBFBFC;
+  --color-util-colors-midnight-midnight-100: #F0F2F5;
+  --color-util-colors-midnight-midnight-200: #DFE1EA;
+  --color-util-colors-midnight-midnight-300: #C6CBD9;
+  --color-util-colors-midnight-midnight-400: #A7AEC5;
+  --color-util-colors-midnight-midnight-500: #828DAD;
+  --color-util-colors-midnight-midnight-600: #5D698D;
+  --color-util-colors-midnight-midnight-700: #3E465E;
 
-  --color-third-party-LangChain: #1c3c3c;
+  --color-third-party-LangChain: #1C3C3C;
   --color-third-party-Langfuse: #000000;
-  --color-third-party-Github: #1b1f24;
-  --color-third-party-Github-tertiary: #1b1f24;
-  --color-third-party-Github-secondary: #1b1f24;
-  --color-third-party-model-bg-openai: #e3e5e8;
-  --color-third-party-model-bg-anthropic: #eeede7;
-  --color-third-party-model-bg-default: #f9fafb;
+  --color-third-party-Github: #1B1F24;
+  --color-third-party-Github-tertiary: #1B1F24;
+  --color-third-party-Github-secondary: #1B1F24;
+  --color-third-party-model-bg-openai: #E3E5E8;
+  --color-third-party-model-bg-anthropic: #EEEDE7;
+  --color-third-party-model-bg-default: #F9FAFB;
 
-  --color-third-party-aws: #141f2e;
-  --color-third-party-aws-alt: #0f1824;
+  --color-third-party-aws: #141F2E;
+  --color-third-party-aws-alt: #0F1824;
 
-  --color-saas-background: #fcfcfd;
-  --color-saas-pricing-grid-bg: #c8ceda80;
+  --color-saas-background: #FCFCFD;
+  --color-saas-pricing-grid-bg: #C8CEDA80;
 
 }
\ No newline at end of file
diff --git a/web/themes/tailwind-theme-var-define.ts b/web/themes/tailwind-theme-var-define.ts
index 62c0ed82c7..ea5f80b88b 100644
--- a/web/themes/tailwind-theme-var-define.ts
+++ b/web/themes/tailwind-theme-var-define.ts
@@ -206,7 +206,6 @@ const vars = {
   'components-badge-bg-red-soft': 'var(--color-components-badge-bg-red-soft)',
   'components-badge-bg-blue-light-soft': 'var(--color-components-badge-bg-blue-light-soft)',
   'components-badge-bg-gray-soft': 'var(--color-components-badge-bg-gray-soft)',
-  'components-badge-bg-dimm': 'var(--color-components-badge-bg-dimm)',
 
   'components-chart-line': 'var(--color-components-chart-line)',
   'components-chart-area-1': 'var(--color-components-chart-area-1)',
@@ -400,6 +399,7 @@ const vars = {
   'background-default-burn': 'var(--color-background-default-burn)',
   'background-overlay-fullscreen': 'var(--color-background-overlay-fullscreen)',
   'background-default-lighter': 'var(--color-background-default-lighter)',
+  'background-account-teams-bg': 'var(--color-account-teams-bg)',
   'background-section': 'var(--color-background-section)',
   'background-interaction-from-bg-1': 'var(--color-background-interaction-from-bg-1)',
   'background-interaction-from-bg-2': 'var(--color-background-interaction-from-bg-2)',
@@ -503,7 +503,6 @@ const vars = {
   'state-base-hover-alt': 'var(--color-state-base-hover-alt)',
   'state-base-handle': 'var(--color-state-base-handle)',
   'state-base-handle-hover': 'var(--color-state-base-handle-hover)',
-  'state-base-hover-subtle': 'var(--color-state-base-hover-subtle)',
 
   'state-accent-hover': 'var(--color-state-accent-hover)',
   'state-accent-active': 'var(--color-state-accent-active)',

From 566e5487138fa2c0828be50ba782bab8c943dc2d Mon Sep 17 00:00:00 2001
From: NFish <douxc512@gmail.com>
Date: Mon, 17 Feb 2025 10:02:21 +0800
Subject: [PATCH 211/217] fix: update trial expire time to 3/17 (#13796)

---
 web/i18n/en-US/common.ts   | 2 +-
 web/i18n/ja-JP/common.ts   | 2 +-
 web/i18n/zh-Hans/common.ts | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index b66b1d1cb4..76f0c2e54b 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -290,7 +290,7 @@ const translation = {
       usedUp: 'Trial quota used up. Add own Model Provider.',
       useYourModel: 'Currently using own Model Provider.',
       close: 'Close',
-      trialQuotaTip: 'Your Anthropic trial quota will expire on 2025/03/11 and will no longer be available thereafter. Please make use of it in time.',
+      trialQuotaTip: 'Your Anthropic trial quota will expire on 2025/03/17 and will no longer be available thereafter. Please make use of it in time.',
     },
     anthropic: {
       using: 'The embedding capability is using',
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index ba52dfcf1e..c9a0bc6dad 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -291,7 +291,7 @@ const translation = {
       usedUp: 'トライアルクォータが使い果たされました。独自のモデルプロバイダを追加してください。',
       useYourModel: '現在、独自のモデルプロバイダを使用しています。',
       close: '閉じる',
-      trialQuotaTip: 'お客様の Anthropic 試用枠は 2025/03/11 に失効し、その後は利用できなくなります。お早めにご利用ください。',
+      trialQuotaTip: 'お客様の Anthropic 試用枠は 2025/03/17 に失効し、その後は利用できなくなります。お早めにご利用ください。',
     },
     anthropic: {
       using: '埋め込み機能は使用中です',
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index ea5d82b73e..54cfce4242 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -290,7 +290,7 @@ const translation = {
       usedUp: '试用额度已用完，请在下方添加自己的模型供应商',
       useYourModel: '当前正在使用你自己的模型供应商。',
       close: '关闭',
-      trialQuotaTip: '您的 Anthropic 体验额度将于 2025/03/11 过期，过期后将无法使用，请尽快体验。',
+      trialQuotaTip: '您的 Anthropic 体验额度将于 2025/03/17 过期，过期后将无法使用，请尽快体验。',
     },
     anthropic: {
       using: '嵌入能力正在使用',

From 222df44d21db746bcf073a4891191851da3fd5ef Mon Sep 17 00:00:00 2001
From: "Charlie.Wei" <luowei@cvte.com>
Date: Mon, 17 Feb 2025 14:09:57 +0800
Subject: [PATCH 212/217] Retrieval Service efficiency optimization (#13543)

---
 api/configs/middleware/__init__.py           |   6 +
 api/core/rag/datasource/retrieval_service.py | 288 +++++++++++--------
 2 files changed, 170 insertions(+), 124 deletions(-)

diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py
index f6a44eaa47..af1d5d7497 100644
--- a/api/configs/middleware/__init__.py
+++ b/api/configs/middleware/__init__.py
@@ -1,3 +1,4 @@
+import os
 from typing import Any, Literal, Optional
 from urllib.parse import quote_plus
 
@@ -166,6 +167,11 @@ class DatabaseConfig(BaseSettings):
         default=False,
     )
 
+    RETRIEVAL_SERVICE_WORKER: NonNegativeInt = Field(
+        description="If True, enables the retrieval service worker.",
+        default=os.cpu_count(),
+    )
+
     @computed_field
     def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
         return {
diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py
index 927df0efc4..07a9055944 100644
--- a/api/core/rag/datasource/retrieval_service.py
+++ b/api/core/rag/datasource/retrieval_service.py
@@ -1,9 +1,11 @@
+import concurrent.futures
 import json
-import threading
 from typing import Optional
 
 from flask import Flask, current_app
+from sqlalchemy.orm import load_only
 
+from configs import dify_config
 from core.rag.data_post_processor.data_post_processor import DataPostProcessor
 from core.rag.datasource.keyword.keyword_factory import Keyword
 from core.rag.datasource.vdb.vector_factory import Vector
@@ -27,6 +29,7 @@ default_retrieval_model = {
 
 
 class RetrievalService:
+    # Cache precompiled regular expressions to avoid repeated compilation
     @classmethod
     def retrieve(
         cls,
@@ -41,74 +44,62 @@ class RetrievalService:
     ):
         if not query:
             return []
-        dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
-        if not dataset:
-            return []
-
+        dataset = cls._get_dataset(dataset_id)
         if not dataset or dataset.available_document_count == 0 or dataset.available_segment_count == 0:
             return []
+
         all_documents: list[Document] = []
-        threads: list[threading.Thread] = []
         exceptions: list[str] = []
-        # retrieval_model source with keyword
-        if retrieval_method == "keyword_search":
-            keyword_thread = threading.Thread(
-                target=RetrievalService.keyword_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),  # type: ignore
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "top_k": top_k,
-                    "all_documents": all_documents,
-                    "exceptions": exceptions,
-                },
-            )
-            threads.append(keyword_thread)
-            keyword_thread.start()
-        # retrieval_model source with semantic
-        if RetrievalMethod.is_support_semantic_search(retrieval_method):
-            embedding_thread = threading.Thread(
-                target=RetrievalService.embedding_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),  # type: ignore
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "top_k": top_k,
-                    "score_threshold": score_threshold,
-                    "reranking_model": reranking_model,
-                    "all_documents": all_documents,
-                    "retrieval_method": retrieval_method,
-                    "exceptions": exceptions,
-                },
-            )
-            threads.append(embedding_thread)
-            embedding_thread.start()
 
-        # retrieval source with full text
-        if RetrievalMethod.is_support_fulltext_search(retrieval_method):
-            full_text_index_thread = threading.Thread(
-                target=RetrievalService.full_text_index_search,
-                kwargs={
-                    "flask_app": current_app._get_current_object(),  # type: ignore
-                    "dataset_id": dataset_id,
-                    "query": query,
-                    "retrieval_method": retrieval_method,
-                    "score_threshold": score_threshold,
-                    "top_k": top_k,
-                    "reranking_model": reranking_model,
-                    "all_documents": all_documents,
-                    "exceptions": exceptions,
-                },
-            )
-            threads.append(full_text_index_thread)
-            full_text_index_thread.start()
-
-        for thread in threads:
-            thread.join()
+        # Optimize multithreading with thread pools
+        with concurrent.futures.ThreadPoolExecutor(max_workers=dify_config.RETRIEVAL_SERVICE_WORKER) as executor:  # type: ignore
+            futures = []
+            if retrieval_method == "keyword_search":
+                futures.append(
+                    executor.submit(
+                        cls.keyword_search,
+                        flask_app=current_app._get_current_object(),  # type: ignore
+                        dataset_id=dataset_id,
+                        query=query,
+                        top_k=top_k,
+                        all_documents=all_documents,
+                        exceptions=exceptions,
+                    )
+                )
+            if RetrievalMethod.is_support_semantic_search(retrieval_method):
+                futures.append(
+                    executor.submit(
+                        cls.embedding_search,
+                        flask_app=current_app._get_current_object(),  # type: ignore
+                        dataset_id=dataset_id,
+                        query=query,
+                        top_k=top_k,
+                        score_threshold=score_threshold,
+                        reranking_model=reranking_model,
+                        all_documents=all_documents,
+                        retrieval_method=retrieval_method,
+                        exceptions=exceptions,
+                    )
+                )
+            if RetrievalMethod.is_support_fulltext_search(retrieval_method):
+                futures.append(
+                    executor.submit(
+                        cls.full_text_index_search,
+                        flask_app=current_app._get_current_object(),  # type: ignore
+                        dataset_id=dataset_id,
+                        query=query,
+                        top_k=top_k,
+                        score_threshold=score_threshold,
+                        reranking_model=reranking_model,
+                        all_documents=all_documents,
+                        retrieval_method=retrieval_method,
+                        exceptions=exceptions,
+                    )
+                )
+            concurrent.futures.wait(futures, timeout=30, return_when=concurrent.futures.ALL_COMPLETED)
 
         if exceptions:
-            exception_message = ";\n".join(exceptions)
-            raise ValueError(exception_message)
+            raise ValueError(";\n".join(exceptions))
 
         if retrieval_method == RetrievalMethod.HYBRID_SEARCH.value:
             data_post_processor = DataPostProcessor(
@@ -133,18 +124,21 @@ class RetrievalService:
         )
         return all_documents
 
+    @classmethod
+    def _get_dataset(cls, dataset_id: str) -> Optional[Dataset]:
+        return db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+
     @classmethod
     def keyword_search(
         cls, flask_app: Flask, dataset_id: str, query: str, top_k: int, all_documents: list, exceptions: list
     ):
         with flask_app.app_context():
             try:
-                dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+                dataset = cls._get_dataset(dataset_id)
                 if not dataset:
                     raise ValueError("dataset not found")
 
                 keyword = Keyword(dataset=dataset)
-
                 documents = keyword.search(cls.escape_query_for_search(query), top_k=top_k)
                 all_documents.extend(documents)
             except Exception as e:
@@ -165,12 +159,11 @@ class RetrievalService:
     ):
         with flask_app.app_context():
             try:
-                dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+                dataset = cls._get_dataset(dataset_id)
                 if not dataset:
                     raise ValueError("dataset not found")
 
                 vector = Vector(dataset=dataset)
-
                 documents = vector.search_by_vector(
                     query,
                     search_type="similarity_score_threshold",
@@ -187,7 +180,7 @@ class RetrievalService:
                         and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH.value
                     ):
                         data_post_processor = DataPostProcessor(
-                            str(dataset.tenant_id), RerankMode.RERANKING_MODEL.value, reranking_model, None, False
+                            str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL.value), reranking_model, None, False
                         )
                         all_documents.extend(
                             data_post_processor.invoke(
@@ -217,13 +210,11 @@ class RetrievalService:
     ):
         with flask_app.app_context():
             try:
-                dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
+                dataset = cls._get_dataset(dataset_id)
                 if not dataset:
                     raise ValueError("dataset not found")
 
-                vector_processor = Vector(
-                    dataset=dataset,
-                )
+                vector_processor = Vector(dataset=dataset)
 
                 documents = vector_processor.search_by_full_text(cls.escape_query_for_search(query), top_k=top_k)
                 if documents:
@@ -234,7 +225,7 @@ class RetrievalService:
                         and retrieval_method == RetrievalMethod.FULL_TEXT_SEARCH.value
                     ):
                         data_post_processor = DataPostProcessor(
-                            str(dataset.tenant_id), RerankMode.RERANKING_MODEL.value, reranking_model, None, False
+                            str(dataset.tenant_id), str(RerankMode.RERANKING_MODEL.value), reranking_model, None, False
                         )
                         all_documents.extend(
                             data_post_processor.invoke(
@@ -253,64 +244,105 @@ class RetrievalService:
     def escape_query_for_search(query: str) -> str:
         return json.dumps(query).strip('"')
 
-    @staticmethod
-    def format_retrieval_documents(documents: list[Document]) -> list[RetrievalSegments]:
-        records = []
-        include_segment_ids = []
-        segment_child_map = {}
-        for document in documents:
-            document_id = document.metadata.get("document_id")
-            dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == document_id).first()
-            if dataset_document:
+    @classmethod
+    def format_retrieval_documents(cls, documents: list[Document]) -> list[RetrievalSegments]:
+        """Format retrieval documents with optimized batch processing"""
+        if not documents:
+            return []
+
+        try:
+            # Collect document IDs
+            document_ids = {doc.metadata.get("document_id") for doc in documents if "document_id" in doc.metadata}
+            if not document_ids:
+                return []
+
+            # Batch query dataset documents
+            dataset_documents = {
+                doc.id: doc
+                for doc in db.session.query(DatasetDocument)
+                .filter(DatasetDocument.id.in_(document_ids))
+                .options(load_only(DatasetDocument.id, DatasetDocument.doc_form, DatasetDocument.dataset_id))
+                .all()
+            }
+
+            records = []
+            include_segment_ids = set()
+            segment_child_map = {}
+
+            # Process documents
+            for document in documents:
+                document_id = document.metadata.get("document_id")
+                if document_id not in dataset_documents:
+                    continue
+
+                dataset_document = dataset_documents[document_id]
+
                 if dataset_document.doc_form == IndexType.PARENT_CHILD_INDEX:
+                    # Handle parent-child documents
                     child_index_node_id = document.metadata.get("doc_id")
-                    result = (
-                        db.session.query(ChildChunk, DocumentSegment)
-                        .join(DocumentSegment, ChildChunk.segment_id == DocumentSegment.id)
+
+                    child_chunk = (
+                        db.session.query(ChildChunk).filter(ChildChunk.index_node_id == child_index_node_id).first()
+                    )
+
+                    if not child_chunk:
+                        continue
+
+                    segment = (
+                        db.session.query(DocumentSegment)
                         .filter(
-                            ChildChunk.index_node_id == child_index_node_id,
                             DocumentSegment.dataset_id == dataset_document.dataset_id,
                             DocumentSegment.enabled == True,
                             DocumentSegment.status == "completed",
+                            DocumentSegment.id == child_chunk.segment_id,
+                        )
+                        .options(
+                            load_only(
+                                DocumentSegment.id,
+                                DocumentSegment.content,
+                                DocumentSegment.answer,
+                                DocumentSegment.doc_metadata,
+                            )
                         )
                         .first()
                     )
-                    if result:
-                        child_chunk, segment = result
-                        if not segment:
-                            continue
-                        if segment.id not in include_segment_ids:
-                            include_segment_ids.append(segment.id)
-                            child_chunk_detail = {
-                                "id": child_chunk.id,
-                                "content": child_chunk.content,
-                                "position": child_chunk.position,
-                                "score": document.metadata.get("score", 0.0),
-                            }
-                            map_detail = {
-                                "max_score": document.metadata.get("score", 0.0),
-                                "child_chunks": [child_chunk_detail],
-                            }
-                            segment_child_map[segment.id] = map_detail
-                            record = {
-                                "segment": segment,
-                            }
-                            records.append(record)
-                        else:
-                            child_chunk_detail = {
-                                "id": child_chunk.id,
-                                "content": child_chunk.content,
-                                "position": child_chunk.position,
-                                "score": document.metadata.get("score", 0.0),
-                            }
-                            segment_child_map[segment.id]["child_chunks"].append(child_chunk_detail)
-                            segment_child_map[segment.id]["max_score"] = max(
-                                segment_child_map[segment.id]["max_score"], document.metadata.get("score", 0.0)
-                            )
-                    else:
+
+                    if not segment:
                         continue
+
+                    if segment.id not in include_segment_ids:
+                        include_segment_ids.add(segment.id)
+                        child_chunk_detail = {
+                            "id": child_chunk.id,
+                            "content": child_chunk.content,
+                            "position": child_chunk.position,
+                            "score": document.metadata.get("score", 0.0),
+                        }
+                        map_detail = {
+                            "max_score": document.metadata.get("score", 0.0),
+                            "child_chunks": [child_chunk_detail],
+                        }
+                        segment_child_map[segment.id] = map_detail
+                        record = {
+                            "segment": segment,
+                        }
+                        records.append(record)
+                    else:
+                        child_chunk_detail = {
+                            "id": child_chunk.id,
+                            "content": child_chunk.content,
+                            "position": child_chunk.position,
+                            "score": document.metadata.get("score", 0.0),
+                        }
+                        segment_child_map[segment.id]["child_chunks"].append(child_chunk_detail)
+                        segment_child_map[segment.id]["max_score"] = max(
+                            segment_child_map[segment.id]["max_score"], document.metadata.get("score", 0.0)
+                        )
                 else:
-                    index_node_id = document.metadata["doc_id"]
+                    # Handle normal documents
+                    index_node_id = document.metadata.get("doc_id")
+                    if not index_node_id:
+                        continue
 
                     segment = (
                         db.session.query(DocumentSegment)
@@ -325,16 +357,24 @@ class RetrievalService:
 
                     if not segment:
                         continue
-                    include_segment_ids.append(segment.id)
+
+                    include_segment_ids.add(segment.id)
                     record = {
                         "segment": segment,
-                        "score": document.metadata.get("score", None),
+                        "score": document.metadata.get("score"),  # type: ignore
+                        "segment_metadata": segment.doc_metadata,
                     }
-
                     records.append(record)
+
+            # Add child chunks information to records
             for record in records:
                 if record["segment"].id in segment_child_map:
-                    record["child_chunks"] = segment_child_map[record["segment"].id].get("child_chunks", None)
+                    record["child_chunks"] = segment_child_map[record["segment"].id].get("child_chunks")  # type: ignore
                     record["score"] = segment_child_map[record["segment"].id]["max_score"]
 
-        return [RetrievalSegments(**record) for record in records]
+            return [RetrievalSegments(**record) for record in records]
+        except Exception as e:
+            db.session.rollback()
+            raise e
+        finally:
+            db.session.close()

From 403e2d58b96794727789609e41505c33374f9079 Mon Sep 17 00:00:00 2001
From: Yeuoly <45712896+Yeuoly@users.noreply.github.com>
Date: Mon, 17 Feb 2025 17:05:13 +0800
Subject: [PATCH 213/217] Introduce Plugins (#13836)
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Co-authored-by: Junjie.M <118170653@qq.com>
Co-authored-by: MuYu <mr.muzea@gmail.com>
Co-authored-by: Naoki Takashima <39912547+takatea@users.noreply.github.com>
Co-authored-by: Summer-Gu <37869445+gubinjie@users.noreply.github.com>
Co-authored-by: Fei He <droxer.he@gmail.com>
Co-authored-by: ybalbert001 <120714773+ybalbert001@users.noreply.github.com>
Co-authored-by: Yuanbo Li <ybalbert@amazon.com>
Co-authored-by: douxc <7553076+douxc@users.noreply.github.com>
Co-authored-by: liuzhenghua <1090179900@qq.com>
Co-authored-by: Wu Jiayang <62842862+Wu-Jiayang@users.noreply.github.com>
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Co-authored-by: Vasu Negi <vasu-negi@users.noreply.github.com>
Co-authored-by: Hundredwz <1808096180@qq.com>
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diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh
index e80f9d30aa..d879876d8a 100755
--- a/.devcontainer/post_create_command.sh
+++ b/.devcontainer/post_create_command.sh
@@ -1,11 +1,12 @@
 #!/bin/bash
 
-cd web && npm install
+npm add -g pnpm@9.12.2
+cd web && pnpm install
 pipx install poetry
 
 echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
 echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
-echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
+echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
 echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
 echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc
 
diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml
index b6f6012760..b9547b6452 100644
--- a/.github/workflows/api-tests.yml
+++ b/.github/workflows/api-tests.yml
@@ -50,15 +50,9 @@ jobs:
       - name: Run Unit tests
         run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
 
-      - name: Run ModelRuntime
-        run: poetry run -P api bash dev/pytest/pytest_model_runtime.sh
-
       - name: Run dify config tests
         run: poetry run -P api python dev/pytest/pytest_config_tests.py
 
-      - name: Run Tool
-        run: poetry run -P api bash dev/pytest/pytest_tools.sh
-
       - name: Run mypy
         run: |
           poetry run -C api python -m mypy --install-types --non-interactive .
diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml
index 3328e4890a..69bff839a6 100644
--- a/.github/workflows/db-migration-test.yml
+++ b/.github/workflows/db-migration-test.yml
@@ -4,6 +4,7 @@ on:
   pull_request:
     branches:
       - main
+      - plugins/beta
     paths:
       - api/migrations/**
       - .github/workflows/db-migration-test.yml
diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
index 76486b68e7..c795db9569 100644
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -72,17 +72,23 @@ jobs:
         with:
           files: web/**
 
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+          run_install: false
+
       - name: Setup NodeJS
         uses: actions/setup-node@v4
         if: steps.changed-files.outputs.any_changed == 'true'
         with:
           node-version: 20
-          cache: yarn
+          cache: pnpm
           cache-dependency-path: ./web/package.json
 
       - name: Web dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn install --frozen-lockfile
+        run: pnpm install --frozen-lockfile
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
diff --git a/.github/workflows/tool-test-sdks.yaml b/.github/workflows/tool-test-sdks.yaml
index 76d8501451..d97d21c923 100644
--- a/.github/workflows/tool-test-sdks.yaml
+++ b/.github/workflows/tool-test-sdks.yaml
@@ -35,10 +35,10 @@ jobs:
         with:
           node-version: ${{ matrix.node-version }}
           cache: ''
-          cache-dependency-path: 'yarn.lock'
+          cache-dependency-path: 'pnpm-lock.yaml'
 
       - name: Install Dependencies
-        run: yarn install
+        run: pnpm install
 
       - name: Test
-        run: yarn test
+        run: pnpm test
diff --git a/.github/workflows/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml
index c63a8f5d6c..80b78a1311 100644
--- a/.github/workflows/translate-i18n-base-on-english.yml
+++ b/.github/workflows/translate-i18n-base-on-english.yml
@@ -39,11 +39,11 @@ jobs:
 
       - name: Install dependencies
         if: env.FILES_CHANGED == 'true'
-        run: yarn install --frozen-lockfile
+        run: pnpm install --frozen-lockfile
 
       - name: Run npm script
         if: env.FILES_CHANGED == 'true'
-        run: npm run auto-gen-i18n
+        run: pnpm run auto-gen-i18n
 
       - name: Create Pull Request
         if: env.FILES_CHANGED == 'true'
diff --git a/.github/workflows/web-tests.yml b/.github/workflows/web-tests.yml
index 81968d7b71..655b6ddb5d 100644
--- a/.github/workflows/web-tests.yml
+++ b/.github/workflows/web-tests.yml
@@ -37,13 +37,13 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         with:
           node-version: 20
-          cache: yarn
+          cache: pnpm
           cache-dependency-path: ./web/package.json
 
       - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn install --frozen-lockfile
+        run: pnpm install --frozen-lockfile
 
       - name: Run tests
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn test
+        run: pnpm test
diff --git a/.gitignore b/.gitignore
index a6dad201e8..296aeee873 100644
--- a/.gitignore
+++ b/.gitignore
@@ -176,6 +176,7 @@ docker/volumes/pgvector/data/*
 docker/volumes/pgvecto_rs/data/*
 docker/volumes/couchbase/*
 docker/volumes/oceanbase/*
+docker/volumes/plugin_daemon/*
 !docker/volumes/oceanbase/init.d
 
 docker/nginx/conf.d/default.conf
@@ -194,3 +195,9 @@ api/.vscode
 
 .idea/
 .vscode
+
+# pnpm
+/.pnpm-store
+
+# plugin migrate
+plugins.jsonl
diff --git a/api/.dockerignore b/api/.dockerignore
index 91a5254ea7..447edcda08 100644
--- a/api/.dockerignore
+++ b/api/.dockerignore
@@ -1,7 +1,10 @@
 .env
 *.env.*
 
+storage/generate_files/*
 storage/privkeys/*
+storage/tools/*
+storage/upload_files/*
 
 # Logs
 logs
@@ -9,6 +12,8 @@ logs
 
 # jetbrains
 .idea
+.mypy_cache
+.ruff_cache
 
 # venv
 .venv
\ No newline at end of file
diff --git a/api/.env.example b/api/.env.example
index 95da531a1d..39eb7ad766 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -409,7 +409,6 @@ MAX_VARIABLE_SIZE=204800
 APP_MAX_EXECUTION_TIME=1200
 APP_MAX_ACTIVE_REQUESTS=0
 
-
 # Celery beat configuration
 CELERY_BEAT_SCHEDULER_TIME=1
 
@@ -422,6 +421,22 @@ POSITION_PROVIDER_PINS=
 POSITION_PROVIDER_INCLUDES=
 POSITION_PROVIDER_EXCLUDES=
 
+# Plugin configuration
+PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
+PLUGIN_DAEMON_URL=http://127.0.0.1:5002
+PLUGIN_REMOTE_INSTALL_PORT=5003
+PLUGIN_REMOTE_INSTALL_HOST=localhost
+PLUGIN_MAX_PACKAGE_SIZE=15728640
+INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+
+# Marketplace configuration
+MARKETPLACE_ENABLED=true
+MARKETPLACE_API_URL=https://marketplace.dify.ai
+
+# Endpoint configuration
+ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
+
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
 
diff --git a/api/Dockerfile b/api/Dockerfile
index 2c7b3bba4a..0d4679b76a 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -73,6 +73,10 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
 # Download nltk data
 RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
 
+ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
+
+RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')"
+
 # Copy source code
 COPY . /app/api/
 
diff --git a/api/commands.py b/api/commands.py
index 334e7daab5..9146075cf2 100644
--- a/api/commands.py
+++ b/api/commands.py
@@ -25,6 +25,8 @@ from models.dataset import Document as DatasetDocument
 from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
 from models.provider import Provider, ProviderModel
 from services.account_service import RegisterService, TenantService
+from services.plugin.data_migration import PluginDataMigration
+from services.plugin.plugin_migration import PluginMigration
 
 
 @click.command("reset-password", help="Reset the account password.")
@@ -524,7 +526,7 @@ def add_qdrant_doc_id_index(field: str):
                         )
                     )
 
-    except Exception as e:
+    except Exception:
         click.echo(click.style("Failed to create Qdrant client.", fg="red"))
 
     click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
@@ -593,7 +595,7 @@ def upgrade_db():
 
             click.echo(click.style("Database migration successful!", fg="green"))
 
-        except Exception as e:
+        except Exception:
             logging.exception("Failed to execute database migration")
         finally:
             lock.release()
@@ -639,7 +641,7 @@ where sites.id is null limit 1000"""
                         account = accounts[0]
                         print("Fixing missing site for app {}".format(app.id))
                         app_was_created.send(app, account=account)
-                except Exception as e:
+                except Exception:
                     failed_app_ids.append(app_id)
                     click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
                     logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
@@ -649,3 +651,68 @@ where sites.id is null limit 1000"""
                 break
 
     click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green"))
+
+
+@click.command("migrate-data-for-plugin", help="Migrate data for plugin.")
+def migrate_data_for_plugin():
+    """
+    Migrate data for plugin.
+    """
+    click.echo(click.style("Starting migrate data for plugin.", fg="white"))
+
+    PluginDataMigration.migrate()
+
+    click.echo(click.style("Migrate data for plugin completed.", fg="green"))
+
+
+@click.command("extract-plugins", help="Extract plugins.")
+@click.option("--output_file", prompt=True, help="The file to store the extracted plugins.", default="plugins.jsonl")
+@click.option("--workers", prompt=True, help="The number of workers to extract plugins.", default=10)
+def extract_plugins(output_file: str, workers: int):
+    """
+    Extract plugins.
+    """
+    click.echo(click.style("Starting extract plugins.", fg="white"))
+
+    PluginMigration.extract_plugins(output_file, workers)
+
+    click.echo(click.style("Extract plugins completed.", fg="green"))
+
+
+@click.command("extract-unique-identifiers", help="Extract unique identifiers.")
+@click.option(
+    "--output_file",
+    prompt=True,
+    help="The file to store the extracted unique identifiers.",
+    default="unique_identifiers.json",
+)
+@click.option(
+    "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
+)
+def extract_unique_plugins(output_file: str, input_file: str):
+    """
+    Extract unique plugins.
+    """
+    click.echo(click.style("Starting extract unique plugins.", fg="white"))
+
+    PluginMigration.extract_unique_plugins_to_file(input_file, output_file)
+
+    click.echo(click.style("Extract unique plugins completed.", fg="green"))
+
+
+@click.command("install-plugins", help="Install plugins.")
+@click.option(
+    "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
+)
+@click.option(
+    "--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl"
+)
+def install_plugins(input_file: str, output_file: str):
+    """
+    Install plugins.
+    """
+    click.echo(click.style("Starting install plugins.", fg="white"))
+
+    PluginMigration.install_plugins(input_file, output_file)
+
+    click.echo(click.style("Install plugins completed.", fg="green"))
diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index d791f51c43..2af9729073 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -134,6 +134,60 @@ class CodeExecutionSandboxConfig(BaseSettings):
     )
 
 
+class PluginConfig(BaseSettings):
+    """
+    Plugin configs
+    """
+
+    PLUGIN_DAEMON_URL: HttpUrl = Field(
+        description="Plugin API URL",
+        default="http://localhost:5002",
+    )
+
+    PLUGIN_DAEMON_KEY: str = Field(
+        description="Plugin API key",
+        default="plugin-api-key",
+    )
+
+    INNER_API_KEY_FOR_PLUGIN: str = Field(description="Inner api key for plugin", default="inner-api-key")
+
+    PLUGIN_REMOTE_INSTALL_HOST: str = Field(
+        description="Plugin Remote Install Host",
+        default="localhost",
+    )
+
+    PLUGIN_REMOTE_INSTALL_PORT: PositiveInt = Field(
+        description="Plugin Remote Install Port",
+        default=5003,
+    )
+
+    PLUGIN_MAX_PACKAGE_SIZE: PositiveInt = Field(
+        description="Maximum allowed size for plugin packages in bytes",
+        default=15728640,
+    )
+
+    PLUGIN_MAX_BUNDLE_SIZE: PositiveInt = Field(
+        description="Maximum allowed size for plugin bundles in bytes",
+        default=15728640 * 12,
+    )
+
+
+class MarketplaceConfig(BaseSettings):
+    """
+    Configuration for marketplace
+    """
+
+    MARKETPLACE_ENABLED: bool = Field(
+        description="Enable or disable marketplace",
+        default=True,
+    )
+
+    MARKETPLACE_API_URL: HttpUrl = Field(
+        description="Marketplace API URL",
+        default="https://marketplace.dify.ai",
+    )
+
+
 class EndpointConfig(BaseSettings):
     """
     Configuration for various application endpoints and URLs
@@ -160,6 +214,10 @@ class EndpointConfig(BaseSettings):
         default="",
     )
 
+    ENDPOINT_URL_TEMPLATE: str = Field(
+        description="Template url for endpoint plugin", default="http://localhost:5002/e/{hook_id}"
+    )
+
 
 class FileAccessConfig(BaseSettings):
     """
@@ -793,6 +851,8 @@ class FeatureConfig(
     AuthConfig,  # Changed from OAuthConfig to AuthConfig
     BillingConfig,
     CodeExecutionSandboxConfig,
+    PluginConfig,
+    MarketplaceConfig,
     DataSetConfig,
     EndpointConfig,
     FileAccessConfig,
diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py
index fd3d6afb3a..8473f7bad5 100644
--- a/api/configs/packaging/__init__.py
+++ b/api/configs/packaging/__init__.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.3",
+        default="1.0.0",
     )
 
     COMMIT_SHA: str = Field(
diff --git a/api/contexts/__init__.py b/api/contexts/__init__.py
index 85380b7330..64dae3a2d2 100644
--- a/api/contexts/__init__.py
+++ b/api/contexts/__init__.py
@@ -1,9 +1,19 @@
 from contextvars import ContextVar
+from threading import Lock
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
+    from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+    from core.tools.plugin_tool.provider import PluginToolProviderController
     from core.workflow.entities.variable_pool import VariablePool
 
+
 tenant_id: ContextVar[str] = ContextVar("tenant_id")
 
 workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool")
+
+plugin_tool_providers: ContextVar[dict[str, "PluginToolProviderController"]] = ContextVar("plugin_tool_providers")
+plugin_tool_providers_lock: ContextVar[Lock] = ContextVar("plugin_tool_providers_lock")
+
+plugin_model_providers: ContextVar[list["PluginModelProviderEntity"] | None] = ContextVar("plugin_model_providers")
+plugin_model_providers_lock: ContextVar[Lock] = ContextVar("plugin_model_providers_lock")
diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py
index cb6b0d097b..8b5378c132 100644
--- a/api/controllers/console/__init__.py
+++ b/api/controllers/console/__init__.py
@@ -2,7 +2,7 @@ from flask import Blueprint
 
 from libs.external_api import ExternalApi
 
-from .app.app_import import AppImportApi, AppImportConfirmApi
+from .app.app_import import AppImportApi, AppImportCheckDependenciesApi, AppImportConfirmApi
 from .explore.audio import ChatAudioApi, ChatTextApi
 from .explore.completion import ChatApi, ChatStopApi, CompletionApi, CompletionStopApi
 from .explore.conversation import (
@@ -40,6 +40,7 @@ api.add_resource(RemoteFileUploadApi, "/remote-files/upload")
 # Import App
 api.add_resource(AppImportApi, "/apps/imports")
 api.add_resource(AppImportConfirmApi, "/apps/imports/<string:import_id>/confirm")
+api.add_resource(AppImportCheckDependenciesApi, "/apps/imports/<string:app_id>/check-dependencies")
 
 # Import other controllers
 from . import admin, apikey, extension, feature, ping, setup, version
@@ -166,4 +167,15 @@ api.add_resource(
 from .tag import tags
 
 # Import workspace controllers
-from .workspace import account, load_balancing_config, members, model_providers, models, tool_providers, workspace
+from .workspace import (
+    account,
+    agent_providers,
+    endpoint,
+    load_balancing_config,
+    members,
+    model_providers,
+    models,
+    plugin,
+    tool_providers,
+    workspace,
+)
diff --git a/api/controllers/console/admin.py b/api/controllers/console/admin.py
index 1286188f7f..6e3273f5d4 100644
--- a/api/controllers/console/admin.py
+++ b/api/controllers/console/admin.py
@@ -2,6 +2,8 @@ from functools import wraps
 
 from flask import request
 from flask_restful import Resource, reqparse  # type: ignore
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import NotFound, Unauthorized
 
 from configs import dify_config
@@ -54,7 +56,8 @@ class InsertExploreAppListApi(Resource):
         parser.add_argument("position", type=int, required=True, nullable=False, location="json")
         args = parser.parse_args()
 
-        app = App.query.filter(App.id == args["app_id"]).first()
+        with Session(db.engine) as session:
+            app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
         if not app:
             raise NotFound(f"App '{args['app_id']}' is not found")
 
@@ -70,7 +73,10 @@ class InsertExploreAppListApi(Resource):
             privacy_policy = site.privacy_policy or args["privacy_policy"] or ""
             custom_disclaimer = site.custom_disclaimer or args["custom_disclaimer"] or ""
 
-        recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args["app_id"]).first()
+        with Session(db.engine) as session:
+            recommended_app = session.execute(
+                select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"])
+            ).scalar_one_or_none()
 
         if not recommended_app:
             recommended_app = RecommendedApp(
@@ -110,17 +116,27 @@ class InsertExploreAppApi(Resource):
     @only_edition_cloud
     @admin_required
     def delete(self, app_id):
-        recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == str(app_id)).first()
+        with Session(db.engine) as session:
+            recommended_app = session.execute(
+                select(RecommendedApp).filter(RecommendedApp.app_id == str(app_id))
+            ).scalar_one_or_none()
+
         if not recommended_app:
             return {"result": "success"}, 204
 
-        app = App.query.filter(App.id == recommended_app.app_id).first()
+        with Session(db.engine) as session:
+            app = session.execute(select(App).filter(App.id == recommended_app.app_id)).scalar_one_or_none()
+
         if app:
             app.is_public = False
 
-        installed_apps = InstalledApp.query.filter(
-            InstalledApp.app_id == recommended_app.app_id, InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id
-        ).all()
+        with Session(db.engine) as session:
+            installed_apps = session.execute(
+                select(InstalledApp).filter(
+                    InstalledApp.app_id == recommended_app.app_id,
+                    InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
+                )
+            ).all()
 
         for installed_app in installed_apps:
             db.session.delete(installed_app)
diff --git a/api/controllers/console/apikey.py b/api/controllers/console/apikey.py
index ca8ddc3209..eb42507c63 100644
--- a/api/controllers/console/apikey.py
+++ b/api/controllers/console/apikey.py
@@ -3,6 +3,8 @@ from typing import Any
 import flask_restful  # type: ignore
 from flask_login import current_user  # type: ignore
 from flask_restful import Resource, fields, marshal_with
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden
 
 from extensions.ext_database import db
@@ -26,7 +28,16 @@ api_key_list = {"data": fields.List(fields.Nested(api_key_fields), attribute="it
 
 
 def _get_resource(resource_id, tenant_id, resource_model):
-    resource = resource_model.query.filter_by(id=resource_id, tenant_id=tenant_id).first()
+    if resource_model == App:
+        with Session(db.engine) as session:
+            resource = session.execute(
+                select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
+            ).scalar_one_or_none()
+    else:
+        with Session(db.engine) as session:
+            resource = session.execute(
+                select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
+            ).scalar_one_or_none()
 
     if resource is None:
         flask_restful.abort(404, message=f"{resource_model.__name__} not found.")
diff --git a/api/controllers/console/app/app_import.py b/api/controllers/console/app/app_import.py
index 7e2888d71c..47acb47a2c 100644
--- a/api/controllers/console/app/app_import.py
+++ b/api/controllers/console/app/app_import.py
@@ -5,14 +5,16 @@ from flask_restful import Resource, marshal_with, reqparse  # type: ignore
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden
 
+from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import (
     account_initialization_required,
     setup_required,
 )
 from extensions.ext_database import db
-from fields.app_fields import app_import_fields
+from fields.app_fields import app_import_check_dependencies_fields, app_import_fields
 from libs.login import login_required
 from models import Account
+from models.model import App
 from services.app_dsl_service import AppDslService, ImportStatus
 
 
@@ -88,3 +90,20 @@ class AppImportConfirmApi(Resource):
         if result.status == ImportStatus.FAILED.value:
             return result.model_dump(mode="json"), 400
         return result.model_dump(mode="json"), 200
+
+
+class AppImportCheckDependenciesApi(Resource):
+    @setup_required
+    @login_required
+    @get_app_model
+    @account_initialization_required
+    @marshal_with(app_import_check_dependencies_fields)
+    def get(self, app_model: App):
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        with Session(db.engine) as session:
+            import_service = AppDslService(session)
+            result = import_service.check_dependencies(app_model=app_model)
+
+        return result.model_dump(mode="json"), 200
diff --git a/api/controllers/console/app/site.py b/api/controllers/console/app/site.py
index db29b95c41..c5a9c4d76e 100644
--- a/api/controllers/console/app/site.py
+++ b/api/controllers/console/app/site.py
@@ -2,6 +2,7 @@ from datetime import UTC, datetime
 
 from flask_login import current_user  # type: ignore
 from flask_restful import Resource, marshal_with, reqparse  # type: ignore
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, NotFound
 
 from constants.languages import supported_language
@@ -50,33 +51,37 @@ class AppSite(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
-        site = Site.query.filter(Site.app_id == app_model.id).one_or_404()
+        with Session(db.engine) as session:
+            site = session.query(Site).filter(Site.app_id == app_model.id).first()
 
-        for attr_name in [
-            "title",
-            "icon_type",
-            "icon",
-            "icon_background",
-            "description",
-            "default_language",
-            "chat_color_theme",
-            "chat_color_theme_inverted",
-            "customize_domain",
-            "copyright",
-            "privacy_policy",
-            "custom_disclaimer",
-            "customize_token_strategy",
-            "prompt_public",
-            "show_workflow_steps",
-            "use_icon_as_answer_icon",
-        ]:
-            value = args.get(attr_name)
-            if value is not None:
-                setattr(site, attr_name, value)
+            if not site:
+                raise NotFound
 
-        site.updated_by = current_user.id
-        site.updated_at = datetime.now(UTC).replace(tzinfo=None)
-        db.session.commit()
+            for attr_name in [
+                "title",
+                "icon_type",
+                "icon",
+                "icon_background",
+                "description",
+                "default_language",
+                "chat_color_theme",
+                "chat_color_theme_inverted",
+                "customize_domain",
+                "copyright",
+                "privacy_policy",
+                "custom_disclaimer",
+                "customize_token_strategy",
+                "prompt_public",
+                "show_workflow_steps",
+                "use_icon_as_answer_icon",
+            ]:
+                value = args.get(attr_name)
+                if value is not None:
+                    setattr(site, attr_name, value)
+
+            site.updated_by = current_user.id
+            site.updated_at = datetime.now(UTC).replace(tzinfo=None)
+            session.commit()
 
         return site
 
diff --git a/api/controllers/console/app/workflow.py b/api/controllers/console/app/workflow.py
index 6942ac6fbe..0cc5f31ddd 100644
--- a/api/controllers/console/app/workflow.py
+++ b/api/controllers/console/app/workflow.py
@@ -20,6 +20,7 @@ from libs import helper
 from libs.helper import TimestampField, uuid_value
 from libs.login import current_user, login_required
 from models import App
+from models.account import Account
 from models.model import AppMode
 from services.app_generate_service import AppGenerateService
 from services.errors.app import WorkflowHashNotEqualError
@@ -96,6 +97,9 @@ class DraftWorkflowApi(Resource):
         else:
             abort(415)
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         workflow_service = WorkflowService()
 
         try:
@@ -139,6 +143,9 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         parser = reqparse.RequestParser()
         parser.add_argument("inputs", type=dict, location="json")
         parser.add_argument("query", type=str, required=True, location="json", default="")
@@ -160,7 +167,7 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
             raise ConversationCompletedError()
         except ValueError as e:
             raise e
-        except Exception as e:
+        except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()
 
@@ -178,38 +185,7 @@ class AdvancedChatDraftRunIterationNodeApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
-        parser = reqparse.RequestParser()
-        parser.add_argument("inputs", type=dict, location="json")
-        args = parser.parse_args()
-
-        try:
-            response = AppGenerateService.generate_single_iteration(
-                app_model=app_model, user=current_user, node_id=node_id, args=args, streaming=True
-            )
-
-            return helper.compact_generate_response(response)
-        except services.errors.conversation.ConversationNotExistsError:
-            raise NotFound("Conversation Not Exists.")
-        except services.errors.conversation.ConversationCompletedError:
-            raise ConversationCompletedError()
-        except ValueError as e:
-            raise e
-        except Exception as e:
-            logging.exception("internal server error.")
-            raise InternalServerError()
-
-
-class WorkflowDraftRunIterationNodeApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @get_app_model(mode=[AppMode.WORKFLOW])
-    def post(self, app_model: App, node_id: str):
-        """
-        Run draft workflow iteration node
-        """
-        # The role of the current user in the ta table must be admin, owner, or editor
-        if not current_user.is_editor:
+        if not isinstance(current_user, Account):
             raise Forbidden()
 
         parser = reqparse.RequestParser()
@@ -228,7 +204,44 @@ class WorkflowDraftRunIterationNodeApi(Resource):
             raise ConversationCompletedError()
         except ValueError as e:
             raise e
-        except Exception as e:
+        except Exception:
+            logging.exception("internal server error.")
+            raise InternalServerError()
+
+
+class WorkflowDraftRunIterationNodeApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.WORKFLOW])
+    def post(self, app_model: App, node_id: str):
+        """
+        Run draft workflow iteration node
+        """
+        # The role of the current user in the ta table must be admin, owner, or editor
+        if not current_user.is_editor:
+            raise Forbidden()
+
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("inputs", type=dict, location="json")
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate_single_iteration(
+                app_model=app_model, user=current_user, node_id=node_id, args=args, streaming=True
+            )
+
+            return helper.compact_generate_response(response)
+        except services.errors.conversation.ConversationNotExistsError:
+            raise NotFound("Conversation Not Exists.")
+        except services.errors.conversation.ConversationCompletedError:
+            raise ConversationCompletedError()
+        except ValueError as e:
+            raise e
+        except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()
 
@@ -246,6 +259,9 @@ class DraftWorkflowRunApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         parser = reqparse.RequestParser()
         parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
         parser.add_argument("files", type=list, required=False, location="json")
@@ -294,13 +310,20 @@ class DraftWorkflowNodeRunApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         parser = reqparse.RequestParser()
         parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
         args = parser.parse_args()
 
+        inputs = args.get("inputs")
+        if inputs == None:
+            raise ValueError("missing inputs")
+
         workflow_service = WorkflowService()
         workflow_node_execution = workflow_service.run_draft_workflow_node(
-            app_model=app_model, node_id=node_id, user_inputs=args.get("inputs"), account=current_user
+            app_model=app_model, node_id=node_id, user_inputs=inputs, account=current_user
         )
 
         return workflow_node_execution
@@ -339,6 +362,9 @@ class PublishedWorkflowApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         workflow_service = WorkflowService()
         workflow = workflow_service.publish_workflow(app_model=app_model, account=current_user)
 
@@ -376,12 +402,17 @@ class DefaultBlockConfigApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         parser = reqparse.RequestParser()
         parser.add_argument("q", type=str, location="args")
         args = parser.parse_args()
 
+        q = args.get("q")
+
         filters = None
-        if args.get("q"):
+        if q:
             try:
                 filters = json.loads(args.get("q", ""))
             except json.JSONDecodeError:
@@ -407,6 +438,9 @@ class ConvertToWorkflowApi(Resource):
         if not current_user.is_editor:
             raise Forbidden()
 
+        if not isinstance(current_user, Account):
+            raise Forbidden()
+
         if request.data:
             parser = reqparse.RequestParser()
             parser.add_argument("name", type=str, required=False, nullable=True, location="json")
diff --git a/api/controllers/console/auth/forgot_password.py b/api/controllers/console/auth/forgot_password.py
index 241ecdbd53..773ee65727 100644
--- a/api/controllers/console/auth/forgot_password.py
+++ b/api/controllers/console/auth/forgot_password.py
@@ -3,6 +3,8 @@ import secrets
 
 from flask import request
 from flask_restful import Resource, reqparse  # type: ignore
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 
 from constants.languages import languages
 from controllers.console import api
@@ -43,7 +45,8 @@ class ForgotPasswordSendEmailApi(Resource):
         else:
             language = "en-US"
 
-        account = Account.query.filter_by(email=args["email"]).first()
+        with Session(db.engine) as session:
+            account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none()
         token = None
         if account is None:
             if FeatureService.get_system_features().is_allow_register:
@@ -116,7 +119,8 @@ class ForgotPasswordResetApi(Resource):
         password_hashed = hash_password(new_password, salt)
         base64_password_hashed = base64.b64encode(password_hashed).decode()
 
-        account = Account.query.filter_by(email=reset_data.get("email")).first()
+        with Session(db.engine) as session:
+            account = session.execute(select(Account).filter_by(email=reset_data.get("email"))).scalar_one_or_none()
         if account:
             account.password = base64_password_hashed
             account.password_salt = base64_salt
@@ -137,7 +141,7 @@ class ForgotPasswordResetApi(Resource):
                 )
             except WorkSpaceNotAllowedCreateError:
                 pass
-            except AccountRegisterError as are:
+            except AccountRegisterError:
                 raise AccountInFreezeError()
 
         return {"result": "success"}
diff --git a/api/controllers/console/auth/oauth.py b/api/controllers/console/auth/oauth.py
index 2a08362c6d..33bafbf463 100644
--- a/api/controllers/console/auth/oauth.py
+++ b/api/controllers/console/auth/oauth.py
@@ -5,6 +5,8 @@ from typing import Optional
 import requests
 from flask import current_app, redirect, request
 from flask_restful import Resource  # type: ignore
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import Unauthorized
 
 from configs import dify_config
@@ -135,7 +137,8 @@ def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) ->
     account: Optional[Account] = Account.get_by_openid(provider, user_info.id)
 
     if not account:
-        account = Account.query.filter_by(email=user_info.email).first()
+        with Session(db.engine) as session:
+            account = session.execute(select(Account).filter_by(email=user_info.email)).scalar_one_or_none()
 
     return account
 
diff --git a/api/controllers/console/datasets/data_source.py b/api/controllers/console/datasets/data_source.py
index 3a4a6d75e1..5e180b5cf1 100644
--- a/api/controllers/console/datasets/data_source.py
+++ b/api/controllers/console/datasets/data_source.py
@@ -4,6 +4,8 @@ import json
 from flask import request
 from flask_login import current_user  # type: ignore
 from flask_restful import Resource, marshal_with, reqparse  # type: ignore
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import NotFound
 
 from controllers.console import api
@@ -76,7 +78,10 @@ class DataSourceApi(Resource):
     def patch(self, binding_id, action):
         binding_id = str(binding_id)
         action = str(action)
-        data_source_binding = DataSourceOauthBinding.query.filter_by(id=binding_id).first()
+        with Session(db.engine) as session:
+            data_source_binding = session.execute(
+                select(DataSourceOauthBinding).filter_by(id=binding_id)
+            ).scalar_one_or_none()
         if data_source_binding is None:
             raise NotFound("Data source binding not found.")
         # enable binding
@@ -108,47 +113,53 @@ class DataSourceNotionListApi(Resource):
     def get(self):
         dataset_id = request.args.get("dataset_id", default=None, type=str)
         exist_page_ids = []
-        # import notion in the exist dataset
-        if dataset_id:
-            dataset = DatasetService.get_dataset(dataset_id)
-            if not dataset:
-                raise NotFound("Dataset not found.")
-            if dataset.data_source_type != "notion_import":
-                raise ValueError("Dataset is not notion type.")
-            documents = Document.query.filter_by(
-                dataset_id=dataset_id,
-                tenant_id=current_user.current_tenant_id,
-                data_source_type="notion_import",
-                enabled=True,
+        with Session(db.engine) as session:
+            # import notion in the exist dataset
+            if dataset_id:
+                dataset = DatasetService.get_dataset(dataset_id)
+                if not dataset:
+                    raise NotFound("Dataset not found.")
+                if dataset.data_source_type != "notion_import":
+                    raise ValueError("Dataset is not notion type.")
+
+                documents = session.execute(
+                    select(Document).filter_by(
+                        dataset_id=dataset_id,
+                        tenant_id=current_user.current_tenant_id,
+                        data_source_type="notion_import",
+                        enabled=True,
+                    )
+                ).all()
+                if documents:
+                    for document in documents:
+                        data_source_info = json.loads(document.data_source_info)
+                        exist_page_ids.append(data_source_info["notion_page_id"])
+            # get all authorized pages
+            data_source_bindings = session.scalars(
+                select(DataSourceOauthBinding).filter_by(
+                    tenant_id=current_user.current_tenant_id, provider="notion", disabled=False
+                )
             ).all()
-            if documents:
-                for document in documents:
-                    data_source_info = json.loads(document.data_source_info)
-                    exist_page_ids.append(data_source_info["notion_page_id"])
-        # get all authorized pages
-        data_source_bindings = DataSourceOauthBinding.query.filter_by(
-            tenant_id=current_user.current_tenant_id, provider="notion", disabled=False
-        ).all()
-        if not data_source_bindings:
-            return {"notion_info": []}, 200
-        pre_import_info_list = []
-        for data_source_binding in data_source_bindings:
-            source_info = data_source_binding.source_info
-            pages = source_info["pages"]
-            # Filter out already bound pages
-            for page in pages:
-                if page["page_id"] in exist_page_ids:
-                    page["is_bound"] = True
-                else:
-                    page["is_bound"] = False
-            pre_import_info = {
-                "workspace_name": source_info["workspace_name"],
-                "workspace_icon": source_info["workspace_icon"],
-                "workspace_id": source_info["workspace_id"],
-                "pages": pages,
-            }
-            pre_import_info_list.append(pre_import_info)
-        return {"notion_info": pre_import_info_list}, 200
+            if not data_source_bindings:
+                return {"notion_info": []}, 200
+            pre_import_info_list = []
+            for data_source_binding in data_source_bindings:
+                source_info = data_source_binding.source_info
+                pages = source_info["pages"]
+                # Filter out already bound pages
+                for page in pages:
+                    if page["page_id"] in exist_page_ids:
+                        page["is_bound"] = True
+                    else:
+                        page["is_bound"] = False
+                pre_import_info = {
+                    "workspace_name": source_info["workspace_name"],
+                    "workspace_icon": source_info["workspace_icon"],
+                    "workspace_id": source_info["workspace_id"],
+                    "pages": pages,
+                }
+                pre_import_info_list.append(pre_import_info)
+            return {"notion_info": pre_import_info_list}, 200
 
 
 class DataSourceNotionApi(Resource):
@@ -158,14 +169,17 @@ class DataSourceNotionApi(Resource):
     def get(self, workspace_id, page_id, page_type):
         workspace_id = str(workspace_id)
         page_id = str(page_id)
-        data_source_binding = DataSourceOauthBinding.query.filter(
-            db.and_(
-                DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
-                DataSourceOauthBinding.provider == "notion",
-                DataSourceOauthBinding.disabled == False,
-                DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"',
-            )
-        ).first()
+        with Session(db.engine) as session:
+            data_source_binding = session.execute(
+                select(DataSourceOauthBinding).filter(
+                    db.and_(
+                        DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
+                        DataSourceOauthBinding.provider == "notion",
+                        DataSourceOauthBinding.disabled == False,
+                        DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"',
+                    )
+                )
+            ).scalar_one_or_none()
         if not data_source_binding:
             raise NotFound("Data source binding not found.")
 
diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index fee651480a..e934903910 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -14,6 +14,7 @@ from controllers.console.wraps import account_initialization_required, enterpris
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.plugin import ModelProviderID
 from core.provider_manager import ProviderManager
 from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.extractor.entity.extract_setting import ExtractSetting
@@ -72,7 +73,9 @@ class DatasetListApi(Resource):
 
         data = marshal(datasets, dataset_detail_fields)
         for item in data:
+            # convert embedding_model_provider to plugin standard format
             if item["indexing_technique"] == "high_quality":
+                item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"]))
                 item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
                 if item_model in model_names:
                     item["embedding_available"] = True
diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py
index c95214e9fb..7ba9f5e121 100644
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -7,7 +7,6 @@ from flask import request
 from flask_login import current_user  # type: ignore
 from flask_restful import Resource, fields, marshal, marshal_with, reqparse  # type: ignore
 from sqlalchemy import asc, desc
-from transformers.hf_argparser import string_to_bool  # type: ignore
 from werkzeug.exceptions import Forbidden, NotFound
 
 import services
@@ -40,6 +39,7 @@ from core.indexing_runner import IndexingRunner
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.plugin.manager.exc import PluginDaemonClientSideError
 from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
@@ -150,8 +150,20 @@ class DatasetDocumentListApi(Resource):
         sort = request.args.get("sort", default="-created_at", type=str)
         # "yes", "true", "t", "y", "1" convert to True, while others convert to False.
         try:
-            fetch = string_to_bool(request.args.get("fetch", default="false"))
-        except (ArgumentTypeError, ValueError, Exception) as e:
+            fetch_val = request.args.get("fetch", default="false")
+            if isinstance(fetch_val, bool):
+                fetch = fetch_val
+            else:
+                if fetch_val.lower() in ("yes", "true", "t", "y", "1"):
+                    fetch = True
+                elif fetch_val.lower() in ("no", "false", "f", "n", "0"):
+                    fetch = False
+                else:
+                    raise ArgumentTypeError(
+                        f"Truthy value expected: got {fetch_val} but expected one of yes/no, true/false, t/f, y/n, 1/0 "
+                        f"(case insensitive)."
+                    )
+        except (ArgumentTypeError, ValueError, Exception):
             fetch = False
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
@@ -429,6 +441,8 @@ class DocumentIndexingEstimateApi(DocumentResource):
                     )
                 except ProviderTokenNotInitError as ex:
                     raise ProviderNotInitializeError(ex.description)
+                except PluginDaemonClientSideError as ex:
+                    raise ProviderNotInitializeError(ex.description)
                 except Exception as e:
                     raise IndexingEstimateError(str(e))
 
@@ -529,6 +543,8 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 )
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
+            except PluginDaemonClientSideError as ex:
+                raise ProviderNotInitializeError(ex.description)
             except Exception as e:
                 raise IndexingEstimateError(str(e))
 
diff --git a/api/controllers/console/init_validate.py b/api/controllers/console/init_validate.py
index d9ae5cf29f..cfed5fe7a4 100644
--- a/api/controllers/console/init_validate.py
+++ b/api/controllers/console/init_validate.py
@@ -2,8 +2,11 @@ import os
 
 from flask import session
 from flask_restful import Resource, reqparse  # type: ignore
+from sqlalchemy import select
+from sqlalchemy.orm import Session
 
 from configs import dify_config
+from extensions.ext_database import db
 from libs.helper import StrLen
 from models.model import DifySetup
 from services.account_service import TenantService
@@ -42,7 +45,11 @@ class InitValidateAPI(Resource):
 def get_init_validate_status():
     if dify_config.EDITION == "SELF_HOSTED":
         if os.environ.get("INIT_PASSWORD"):
-            return session.get("is_init_validated") or DifySetup.query.first()
+            if session.get("is_init_validated"):
+                return True
+
+            with Session(db.engine) as db_session:
+                return db_session.execute(select(DifySetup)).scalar_one_or_none()
 
     return True
 
diff --git a/api/controllers/console/setup.py b/api/controllers/console/setup.py
index aba6f0aad9..3b47f8f12f 100644
--- a/api/controllers/console/setup.py
+++ b/api/controllers/console/setup.py
@@ -4,7 +4,7 @@ from flask_restful import Resource, reqparse  # type: ignore
 from configs import dify_config
 from libs.helper import StrLen, email, extract_remote_ip
 from libs.password import valid_password
-from models.model import DifySetup
+from models.model import DifySetup, db
 from services.account_service import RegisterService, TenantService
 
 from . import api
@@ -52,8 +52,9 @@ class SetupApi(Resource):
 
 def get_setup_status():
     if dify_config.EDITION == "SELF_HOSTED":
-        return DifySetup.query.first()
-    return True
+        return db.session.query(DifySetup).first()
+    else:
+        return True
 
 
 api.add_resource(SetupApi, "/setup")
diff --git a/api/controllers/console/workspace/__init__.py b/api/controllers/console/workspace/__init__.py
index e69de29bb2..7af2b44a4a 100644
--- a/api/controllers/console/workspace/__init__.py
+++ b/api/controllers/console/workspace/__init__.py
@@ -0,0 +1,56 @@
+from functools import wraps
+
+from flask_login import current_user  # type: ignore
+from sqlalchemy.orm import Session
+from werkzeug.exceptions import Forbidden
+
+from extensions.ext_database import db
+from models.account import TenantPluginPermission
+
+
+def plugin_permission_required(
+    install_required: bool = False,
+    debug_required: bool = False,
+):
+    def interceptor(view):
+        @wraps(view)
+        def decorated(*args, **kwargs):
+            user = current_user
+            tenant_id = user.current_tenant_id
+
+            with Session(db.engine) as session:
+                permission = (
+                    session.query(TenantPluginPermission)
+                    .filter(
+                        TenantPluginPermission.tenant_id == tenant_id,
+                    )
+                    .first()
+                )
+
+                if not permission:
+                    # no permission set, allow access for everyone
+                    return view(*args, **kwargs)
+
+                if install_required:
+                    if permission.install_permission == TenantPluginPermission.InstallPermission.NOBODY:
+                        raise Forbidden()
+                    if permission.install_permission == TenantPluginPermission.InstallPermission.ADMINS:
+                        if not user.is_admin_or_owner:
+                            raise Forbidden()
+                    if permission.install_permission == TenantPluginPermission.InstallPermission.EVERYONE:
+                        pass
+
+                if debug_required:
+                    if permission.debug_permission == TenantPluginPermission.DebugPermission.NOBODY:
+                        raise Forbidden()
+                    if permission.debug_permission == TenantPluginPermission.DebugPermission.ADMINS:
+                        if not user.is_admin_or_owner:
+                            raise Forbidden()
+                    if permission.debug_permission == TenantPluginPermission.DebugPermission.EVERYONE:
+                        pass
+
+            return view(*args, **kwargs)
+
+        return decorated
+
+    return interceptor
diff --git a/api/controllers/console/workspace/agent_providers.py b/api/controllers/console/workspace/agent_providers.py
new file mode 100644
index 0000000000..a41d6c501c
--- /dev/null
+++ b/api/controllers/console/workspace/agent_providers.py
@@ -0,0 +1,36 @@
+from flask_login import current_user  # type: ignore
+from flask_restful import Resource  # type: ignore
+
+from controllers.console import api
+from controllers.console.wraps import account_initialization_required, setup_required
+from core.model_runtime.utils.encoders import jsonable_encoder
+from libs.login import login_required
+from services.agent_service import AgentService
+
+
+class AgentProviderListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
+
+        return jsonable_encoder(AgentService.list_agent_providers(user_id, tenant_id))
+
+
+class AgentProviderApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider_name: str):
+        user = current_user
+        user_id = user.id
+        tenant_id = user.current_tenant_id
+        return jsonable_encoder(AgentService.get_agent_provider(user_id, tenant_id, provider_name))
+
+
+api.add_resource(AgentProviderListApi, "/workspaces/current/agent-providers")
+api.add_resource(AgentProviderApi, "/workspaces/current/agent-provider/<path:provider_name>")
diff --git a/api/controllers/console/workspace/endpoint.py b/api/controllers/console/workspace/endpoint.py
new file mode 100644
index 0000000000..a5bd2a4bcf
--- /dev/null
+++ b/api/controllers/console/workspace/endpoint.py
@@ -0,0 +1,205 @@
+from flask_login import current_user  # type: ignore
+from flask_restful import Resource, reqparse  # type: ignore
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
+from controllers.console.wraps import account_initialization_required, setup_required
+from core.model_runtime.utils.encoders import jsonable_encoder
+from libs.login import login_required
+from services.plugin.endpoint_service import EndpointService
+
+
+class EndpointCreateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_unique_identifier", type=str, required=True)
+        parser.add_argument("settings", type=dict, required=True)
+        parser.add_argument("name", type=str, required=True)
+        args = parser.parse_args()
+
+        plugin_unique_identifier = args["plugin_unique_identifier"]
+        settings = args["settings"]
+        name = args["name"]
+
+        return {
+            "success": EndpointService.create_endpoint(
+                tenant_id=user.current_tenant_id,
+                user_id=user.id,
+                plugin_unique_identifier=plugin_unique_identifier,
+                name=name,
+                settings=settings,
+            )
+        }
+
+
+class EndpointListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("page", type=int, required=True, location="args")
+        parser.add_argument("page_size", type=int, required=True, location="args")
+        args = parser.parse_args()
+
+        page = args["page"]
+        page_size = args["page_size"]
+
+        return jsonable_encoder(
+            {
+                "endpoints": EndpointService.list_endpoints(
+                    tenant_id=user.current_tenant_id,
+                    user_id=user.id,
+                    page=page,
+                    page_size=page_size,
+                )
+            }
+        )
+
+
+class EndpointListForSinglePluginApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("page", type=int, required=True, location="args")
+        parser.add_argument("page_size", type=int, required=True, location="args")
+        parser.add_argument("plugin_id", type=str, required=True, location="args")
+        args = parser.parse_args()
+
+        page = args["page"]
+        page_size = args["page_size"]
+        plugin_id = args["plugin_id"]
+
+        return jsonable_encoder(
+            {
+                "endpoints": EndpointService.list_endpoints_for_single_plugin(
+                    tenant_id=user.current_tenant_id,
+                    user_id=user.id,
+                    plugin_id=plugin_id,
+                    page=page,
+                    page_size=page_size,
+                )
+            }
+        )
+
+
+class EndpointDeleteApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("endpoint_id", type=str, required=True)
+        args = parser.parse_args()
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        endpoint_id = args["endpoint_id"]
+
+        return {
+            "success": EndpointService.delete_endpoint(
+                tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
+            )
+        }
+
+
+class EndpointUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("endpoint_id", type=str, required=True)
+        parser.add_argument("settings", type=dict, required=True)
+        parser.add_argument("name", type=str, required=True)
+        args = parser.parse_args()
+
+        endpoint_id = args["endpoint_id"]
+        settings = args["settings"]
+        name = args["name"]
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        return {
+            "success": EndpointService.update_endpoint(
+                tenant_id=user.current_tenant_id,
+                user_id=user.id,
+                endpoint_id=endpoint_id,
+                name=name,
+                settings=settings,
+            )
+        }
+
+
+class EndpointEnableApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("endpoint_id", type=str, required=True)
+        args = parser.parse_args()
+
+        endpoint_id = args["endpoint_id"]
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        return {
+            "success": EndpointService.enable_endpoint(
+                tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
+            )
+        }
+
+
+class EndpointDisableApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("endpoint_id", type=str, required=True)
+        args = parser.parse_args()
+
+        endpoint_id = args["endpoint_id"]
+
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        return {
+            "success": EndpointService.disable_endpoint(
+                tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
+            )
+        }
+
+
+api.add_resource(EndpointCreateApi, "/workspaces/current/endpoints/create")
+api.add_resource(EndpointListApi, "/workspaces/current/endpoints/list")
+api.add_resource(EndpointListForSinglePluginApi, "/workspaces/current/endpoints/list/plugin")
+api.add_resource(EndpointDeleteApi, "/workspaces/current/endpoints/delete")
+api.add_resource(EndpointUpdateApi, "/workspaces/current/endpoints/update")
+api.add_resource(EndpointEnableApi, "/workspaces/current/endpoints/enable")
+api.add_resource(EndpointDisableApi, "/workspaces/current/endpoints/disable")
diff --git a/api/controllers/console/workspace/load_balancing_config.py b/api/controllers/console/workspace/load_balancing_config.py
index 7009343d99..6e1d87cb12 100644
--- a/api/controllers/console/workspace/load_balancing_config.py
+++ b/api/controllers/console/workspace/load_balancing_config.py
@@ -112,10 +112,10 @@ class LoadBalancingConfigCredentialsValidateApi(Resource):
 # Load Balancing Config
 api.add_resource(
     LoadBalancingCredentialsValidateApi,
-    "/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/credentials-validate",
+    "/workspaces/current/model-providers/<path:provider>/models/load-balancing-configs/credentials-validate",
 )
 
 api.add_resource(
     LoadBalancingConfigCredentialsValidateApi,
-    "/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/<string:config_id>/credentials-validate",
+    "/workspaces/current/model-providers/<path:provider>/models/load-balancing-configs/<string:config_id>/credentials-validate",
 )
diff --git a/api/controllers/console/workspace/model_providers.py b/api/controllers/console/workspace/model_providers.py
index 2d11295b0f..d7d1cc8d00 100644
--- a/api/controllers/console/workspace/model_providers.py
+++ b/api/controllers/console/workspace/model_providers.py
@@ -79,7 +79,7 @@ class ModelProviderValidateApi(Resource):
         response = {"result": "success" if result else "error"}
 
         if not result:
-            response["error"] = error
+            response["error"] = error or "Unknown error"
 
         return response
 
@@ -125,9 +125,10 @@ class ModelProviderIconApi(Resource):
     Get model provider icon
     """
 
-    def get(self, provider: str, icon_type: str, lang: str):
+    def get(self, tenant_id: str, provider: str, icon_type: str, lang: str):
         model_provider_service = ModelProviderService()
         icon, mimetype = model_provider_service.get_model_provider_icon(
+            tenant_id=tenant_id,
             provider=provider,
             icon_type=icon_type,
             lang=lang,
@@ -183,53 +184,17 @@ class ModelProviderPaymentCheckoutUrlApi(Resource):
         return data
 
 
-class ModelProviderFreeQuotaSubmitApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, provider: str):
-        model_provider_service = ModelProviderService()
-        result = model_provider_service.free_quota_submit(tenant_id=current_user.current_tenant_id, provider=provider)
-
-        return result
-
-
-class ModelProviderFreeQuotaQualificationVerifyApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, provider: str):
-        parser = reqparse.RequestParser()
-        parser.add_argument("token", type=str, required=False, nullable=True, location="args")
-        args = parser.parse_args()
-
-        model_provider_service = ModelProviderService()
-        result = model_provider_service.free_quota_qualification_verify(
-            tenant_id=current_user.current_tenant_id, provider=provider, token=args["token"]
-        )
-
-        return result
-
-
 api.add_resource(ModelProviderListApi, "/workspaces/current/model-providers")
 
-api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers/<string:provider>/credentials")
-api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers/<string:provider>/credentials/validate")
-api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/<string:provider>")
-api.add_resource(
-    ModelProviderIconApi, "/workspaces/current/model-providers/<string:provider>/<string:icon_type>/<string:lang>"
-)
+api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers/<path:provider>/credentials")
+api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers/<path:provider>/credentials/validate")
+api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/<path:provider>")
 
 api.add_resource(
-    PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers/<string:provider>/preferred-provider-type"
+    PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers/<path:provider>/preferred-provider-type"
 )
+api.add_resource(ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers/<path:provider>/checkout-url")
 api.add_resource(
-    ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers/<string:provider>/checkout-url"
-)
-api.add_resource(
-    ModelProviderFreeQuotaSubmitApi, "/workspaces/current/model-providers/<string:provider>/free-quota-submit"
-)
-api.add_resource(
-    ModelProviderFreeQuotaQualificationVerifyApi,
-    "/workspaces/current/model-providers/<string:provider>/free-quota-qualification-verify",
+    ModelProviderIconApi,
+    "/workspaces/<string:tenant_id>/model-providers/<path:provider>/<string:icon_type>/<string:lang>",
 )
diff --git a/api/controllers/console/workspace/models.py b/api/controllers/console/workspace/models.py
index 618262e502..8b72a1ea3d 100644
--- a/api/controllers/console/workspace/models.py
+++ b/api/controllers/console/workspace/models.py
@@ -325,7 +325,7 @@ class ModelProviderModelValidateApi(Resource):
         response = {"result": "success" if result else "error"}
 
         if not result:
-            response["error"] = error
+            response["error"] = error or ""
 
         return response
 
@@ -362,26 +362,26 @@ class ModelProviderAvailableModelApi(Resource):
         return jsonable_encoder({"data": models})
 
 
-api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers/<string:provider>/models")
+api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers/<path:provider>/models")
 api.add_resource(
     ModelProviderModelEnableApi,
-    "/workspaces/current/model-providers/<string:provider>/models/enable",
+    "/workspaces/current/model-providers/<path:provider>/models/enable",
     endpoint="model-provider-model-enable",
 )
 api.add_resource(
     ModelProviderModelDisableApi,
-    "/workspaces/current/model-providers/<string:provider>/models/disable",
+    "/workspaces/current/model-providers/<path:provider>/models/disable",
     endpoint="model-provider-model-disable",
 )
 api.add_resource(
-    ModelProviderModelCredentialApi, "/workspaces/current/model-providers/<string:provider>/models/credentials"
+    ModelProviderModelCredentialApi, "/workspaces/current/model-providers/<path:provider>/models/credentials"
 )
 api.add_resource(
-    ModelProviderModelValidateApi, "/workspaces/current/model-providers/<string:provider>/models/credentials/validate"
+    ModelProviderModelValidateApi, "/workspaces/current/model-providers/<path:provider>/models/credentials/validate"
 )
 
 api.add_resource(
-    ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers/<string:provider>/models/parameter-rules"
+    ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers/<path:provider>/models/parameter-rules"
 )
 api.add_resource(ModelProviderAvailableModelApi, "/workspaces/current/models/model-types/<string:model_type>")
 api.add_resource(DefaultModelApi, "/workspaces/current/default-model")
diff --git a/api/controllers/console/workspace/plugin.py b/api/controllers/console/workspace/plugin.py
new file mode 100644
index 0000000000..f4c32ede2b
--- /dev/null
+++ b/api/controllers/console/workspace/plugin.py
@@ -0,0 +1,475 @@
+import io
+
+from flask import request, send_file
+from flask_login import current_user  # type: ignore
+from flask_restful import Resource, reqparse  # type: ignore
+from werkzeug.exceptions import Forbidden
+
+from configs import dify_config
+from controllers.console import api
+from controllers.console.workspace import plugin_permission_required
+from controllers.console.wraps import account_initialization_required, setup_required
+from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.manager.exc import PluginDaemonClientSideError
+from libs.login import login_required
+from models.account import TenantPluginPermission
+from services.plugin.plugin_permission_service import PluginPermissionService
+from services.plugin.plugin_service import PluginService
+
+
+class PluginDebuggingKeyApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return {
+                "key": PluginService.get_debugging_key(tenant_id),
+                "host": dify_config.PLUGIN_REMOTE_INSTALL_HOST,
+                "port": dify_config.PLUGIN_REMOTE_INSTALL_PORT,
+            }
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+        try:
+            plugins = PluginService.list(tenant_id)
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder({"plugins": plugins})
+
+
+class PluginListInstallationsFromIdsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_ids", type=list, required=True, location="json")
+        args = parser.parse_args()
+
+        try:
+            plugins = PluginService.list_installations_from_ids(tenant_id, args["plugin_ids"])
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder({"plugins": plugins})
+
+
+class PluginIconApi(Resource):
+    @setup_required
+    def get(self):
+        req = reqparse.RequestParser()
+        req.add_argument("tenant_id", type=str, required=True, location="args")
+        req.add_argument("filename", type=str, required=True, location="args")
+        args = req.parse_args()
+
+        try:
+            icon_bytes, mimetype = PluginService.get_asset(args["tenant_id"], args["filename"])
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        icon_cache_max_age = dify_config.TOOL_ICON_CACHE_MAX_AGE
+        return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age)
+
+
+class PluginUploadFromPkgApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        file = request.files["pkg"]
+
+        # check file size
+        if file.content_length > dify_config.PLUGIN_MAX_PACKAGE_SIZE:
+            raise ValueError("File size exceeds the maximum allowed size")
+
+        content = file.read()
+        try:
+            response = PluginService.upload_pkg(tenant_id, content)
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginUploadFromGithubApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("repo", type=str, required=True, location="json")
+        parser.add_argument("version", type=str, required=True, location="json")
+        parser.add_argument("package", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        try:
+            response = PluginService.upload_pkg_from_github(tenant_id, args["repo"], args["version"], args["package"])
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginUploadFromBundleApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        file = request.files["bundle"]
+
+        # check file size
+        if file.content_length > dify_config.PLUGIN_MAX_BUNDLE_SIZE:
+            raise ValueError("File size exceeds the maximum allowed size")
+
+        content = file.read()
+        try:
+            response = PluginService.upload_bundle(tenant_id, content)
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginInstallFromPkgApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json")
+        args = parser.parse_args()
+
+        # check if all plugin_unique_identifiers are valid string
+        for plugin_unique_identifier in args["plugin_unique_identifiers"]:
+            if not isinstance(plugin_unique_identifier, str):
+                raise ValueError("Invalid plugin unique identifier")
+
+        try:
+            response = PluginService.install_from_local_pkg(tenant_id, args["plugin_unique_identifiers"])
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginInstallFromGithubApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("repo", type=str, required=True, location="json")
+        parser.add_argument("version", type=str, required=True, location="json")
+        parser.add_argument("package", type=str, required=True, location="json")
+        parser.add_argument("plugin_unique_identifier", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        try:
+            response = PluginService.install_from_github(
+                tenant_id,
+                args["plugin_unique_identifier"],
+                args["repo"],
+                args["version"],
+                args["package"],
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginInstallFromMarketplaceApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(install_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json")
+        args = parser.parse_args()
+
+        # check if all plugin_unique_identifiers are valid string
+        for plugin_unique_identifier in args["plugin_unique_identifiers"]:
+            if not isinstance(plugin_unique_identifier, str):
+                raise ValueError("Invalid plugin unique identifier")
+
+        try:
+            response = PluginService.install_from_marketplace_pkg(tenant_id, args["plugin_unique_identifiers"])
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+        return jsonable_encoder(response)
+
+
+class PluginFetchManifestApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args")
+        args = parser.parse_args()
+
+        try:
+            return jsonable_encoder(
+                {
+                    "manifest": PluginService.fetch_plugin_manifest(
+                        tenant_id, args["plugin_unique_identifier"]
+                    ).model_dump()
+                }
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginFetchInstallTasksApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("page", type=int, required=True, location="args")
+        parser.add_argument("page_size", type=int, required=True, location="args")
+        args = parser.parse_args()
+
+        try:
+            return jsonable_encoder(
+                {"tasks": PluginService.fetch_install_tasks(tenant_id, args["page"], args["page_size"])}
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginFetchInstallTaskApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def get(self, task_id: str):
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return jsonable_encoder({"task": PluginService.fetch_install_task(tenant_id, task_id)})
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginDeleteInstallTaskApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self, task_id: str):
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return {"success": PluginService.delete_install_task(tenant_id, task_id)}
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginDeleteAllInstallTaskItemsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return {"success": PluginService.delete_all_install_task_items(tenant_id)}
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginDeleteInstallTaskItemApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self, task_id: str, identifier: str):
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return {"success": PluginService.delete_install_task_item(tenant_id, task_id, identifier)}
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginUpgradeFromMarketplaceApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json")
+        parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        try:
+            return jsonable_encoder(
+                PluginService.upgrade_plugin_with_marketplace(
+                    tenant_id, args["original_plugin_unique_identifier"], args["new_plugin_unique_identifier"]
+                )
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginUpgradeFromGithubApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self):
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json")
+        parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json")
+        parser.add_argument("repo", type=str, required=True, location="json")
+        parser.add_argument("version", type=str, required=True, location="json")
+        parser.add_argument("package", type=str, required=True, location="json")
+        args = parser.parse_args()
+
+        try:
+            return jsonable_encoder(
+                PluginService.upgrade_plugin_with_github(
+                    tenant_id,
+                    args["original_plugin_unique_identifier"],
+                    args["new_plugin_unique_identifier"],
+                    args["repo"],
+                    args["version"],
+                    args["package"],
+                )
+            )
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginUninstallApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @plugin_permission_required(debug_required=True)
+    def post(self):
+        req = reqparse.RequestParser()
+        req.add_argument("plugin_installation_id", type=str, required=True, location="json")
+        args = req.parse_args()
+
+        tenant_id = current_user.current_tenant_id
+
+        try:
+            return {"success": PluginService.uninstall(tenant_id, args["plugin_installation_id"])}
+        except PluginDaemonClientSideError as e:
+            raise ValueError(e)
+
+
+class PluginChangePermissionApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        user = current_user
+        if not user.is_admin_or_owner:
+            raise Forbidden()
+
+        req = reqparse.RequestParser()
+        req.add_argument("install_permission", type=str, required=True, location="json")
+        req.add_argument("debug_permission", type=str, required=True, location="json")
+        args = req.parse_args()
+
+        install_permission = TenantPluginPermission.InstallPermission(args["install_permission"])
+        debug_permission = TenantPluginPermission.DebugPermission(args["debug_permission"])
+
+        tenant_id = user.current_tenant_id
+
+        return {"success": PluginPermissionService.change_permission(tenant_id, install_permission, debug_permission)}
+
+
+class PluginFetchPermissionApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+
+        permission = PluginPermissionService.get_permission(tenant_id)
+        if not permission:
+            return jsonable_encoder(
+                {
+                    "install_permission": TenantPluginPermission.InstallPermission.EVERYONE,
+                    "debug_permission": TenantPluginPermission.DebugPermission.EVERYONE,
+                }
+            )
+
+        return jsonable_encoder(
+            {
+                "install_permission": permission.install_permission,
+                "debug_permission": permission.debug_permission,
+            }
+        )
+
+
+api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key")
+api.add_resource(PluginListApi, "/workspaces/current/plugin/list")
+api.add_resource(PluginListInstallationsFromIdsApi, "/workspaces/current/plugin/list/installations/ids")
+api.add_resource(PluginIconApi, "/workspaces/current/plugin/icon")
+api.add_resource(PluginUploadFromPkgApi, "/workspaces/current/plugin/upload/pkg")
+api.add_resource(PluginUploadFromGithubApi, "/workspaces/current/plugin/upload/github")
+api.add_resource(PluginUploadFromBundleApi, "/workspaces/current/plugin/upload/bundle")
+api.add_resource(PluginInstallFromPkgApi, "/workspaces/current/plugin/install/pkg")
+api.add_resource(PluginInstallFromGithubApi, "/workspaces/current/plugin/install/github")
+api.add_resource(PluginUpgradeFromMarketplaceApi, "/workspaces/current/plugin/upgrade/marketplace")
+api.add_resource(PluginUpgradeFromGithubApi, "/workspaces/current/plugin/upgrade/github")
+api.add_resource(PluginInstallFromMarketplaceApi, "/workspaces/current/plugin/install/marketplace")
+api.add_resource(PluginFetchManifestApi, "/workspaces/current/plugin/fetch-manifest")
+api.add_resource(PluginFetchInstallTasksApi, "/workspaces/current/plugin/tasks")
+api.add_resource(PluginFetchInstallTaskApi, "/workspaces/current/plugin/tasks/<task_id>")
+api.add_resource(PluginDeleteInstallTaskApi, "/workspaces/current/plugin/tasks/<task_id>/delete")
+api.add_resource(PluginDeleteAllInstallTaskItemsApi, "/workspaces/current/plugin/tasks/delete_all")
+api.add_resource(PluginDeleteInstallTaskItemApi, "/workspaces/current/plugin/tasks/<task_id>/delete/<path:identifier>")
+api.add_resource(PluginUninstallApi, "/workspaces/current/plugin/uninstall")
+
+api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change")
+api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch")
diff --git a/api/controllers/console/workspace/tool_providers.py b/api/controllers/console/workspace/tool_providers.py
index 964f386229..39ab454922 100644
--- a/api/controllers/console/workspace/tool_providers.py
+++ b/api/controllers/console/workspace/tool_providers.py
@@ -25,8 +25,10 @@ class ToolProviderListApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         req = reqparse.RequestParser()
         req.add_argument(
@@ -47,28 +49,43 @@ class ToolBuiltinProviderListToolsApi(Resource):
     @login_required
     @account_initialization_required
     def get(self, provider):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        tenant_id = user.current_tenant_id
 
         return jsonable_encoder(
             BuiltinToolManageService.list_builtin_tool_provider_tools(
-                user_id,
                 tenant_id,
                 provider,
             )
         )
 
 
+class ToolBuiltinProviderInfoApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider):
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
+
+        return jsonable_encoder(BuiltinToolManageService.get_builtin_tool_provider_info(user_id, tenant_id, provider))
+
+
 class ToolBuiltinProviderDeleteApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
     def post(self, provider):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         return BuiltinToolManageService.delete_builtin_tool_provider(
             user_id,
@@ -82,11 +99,13 @@ class ToolBuiltinProviderUpdateApi(Resource):
     @login_required
     @account_initialization_required
     def post(self, provider):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@@ -131,11 +150,13 @@ class ToolApiProviderAddApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@@ -168,6 +189,11 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
+
         parser = reqparse.RequestParser()
 
         parser.add_argument("url", type=str, required=True, nullable=False, location="args")
@@ -175,8 +201,8 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
         args = parser.parse_args()
 
         return ApiToolManageService.get_api_tool_provider_remote_schema(
-            current_user.id,
-            current_user.current_tenant_id,
+            user_id,
+            tenant_id,
             args["url"],
         )
 
@@ -186,8 +212,10 @@ class ToolApiProviderListToolsApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
 
@@ -209,11 +237,13 @@ class ToolApiProviderUpdateApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@@ -248,11 +278,13 @@ class ToolApiProviderDeleteApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
 
@@ -272,8 +304,10 @@ class ToolApiProviderGetApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
 
@@ -293,7 +327,11 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource):
     @login_required
     @account_initialization_required
     def get(self, provider):
-        return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider)
+        user = current_user
+
+        tenant_id = user.current_tenant_id
+
+        return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider, tenant_id)
 
 
 class ToolApiProviderSchemaApi(Resource):
@@ -344,11 +382,13 @@ class ToolWorkflowProviderCreateApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         reqparser = reqparse.RequestParser()
         reqparser.add_argument("workflow_app_id", type=uuid_value, required=True, nullable=False, location="json")
@@ -381,11 +421,13 @@ class ToolWorkflowProviderUpdateApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         reqparser = reqparse.RequestParser()
         reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json")
@@ -421,11 +463,13 @@ class ToolWorkflowProviderDeleteApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        if not current_user.is_admin_or_owner:
+        user = current_user
+
+        if not user.is_admin_or_owner:
             raise Forbidden()
 
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         reqparser = reqparse.RequestParser()
         reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json")
@@ -444,8 +488,10 @@ class ToolWorkflowProviderGetApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument("workflow_tool_id", type=uuid_value, required=False, nullable=True, location="args")
@@ -476,8 +522,10 @@ class ToolWorkflowProviderListToolApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         parser = reqparse.RequestParser()
         parser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="args")
@@ -498,8 +546,10 @@ class ToolBuiltinListApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         return jsonable_encoder(
             [
@@ -517,8 +567,10 @@ class ToolApiListApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         return jsonable_encoder(
             [
@@ -536,8 +588,10 @@ class ToolWorkflowListApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
-        user_id = current_user.id
-        tenant_id = current_user.current_tenant_id
+        user = current_user
+
+        user_id = user.id
+        tenant_id = user.current_tenant_id
 
         return jsonable_encoder(
             [
@@ -563,16 +617,18 @@ class ToolLabelsApi(Resource):
 api.add_resource(ToolProviderListApi, "/workspaces/current/tool-providers")
 
 # builtin tool provider
-api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin/<provider>/tools")
-api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin/<provider>/delete")
-api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin/<provider>/update")
+api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/tools")
+api.add_resource(ToolBuiltinProviderInfoApi, "/workspaces/current/tool-provider/builtin/<path:provider>/info")
+api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin/<path:provider>/delete")
+api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin/<path:provider>/update")
 api.add_resource(
-    ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin/<provider>/credentials"
+    ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/credentials"
 )
 api.add_resource(
-    ToolBuiltinProviderCredentialsSchemaApi, "/workspaces/current/tool-provider/builtin/<provider>/credentials_schema"
+    ToolBuiltinProviderCredentialsSchemaApi,
+    "/workspaces/current/tool-provider/builtin/<path:provider>/credentials_schema",
 )
-api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin/<provider>/icon")
+api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin/<path:provider>/icon")
 
 # api tool provider
 api.add_resource(ToolApiProviderAddApi, "/workspaces/current/tool-provider/api/add")
diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py
index 111db7ccf2..a6f64700f2 100644
--- a/api/controllers/console/wraps.py
+++ b/api/controllers/console/wraps.py
@@ -7,6 +7,7 @@ from flask_login import current_user  # type: ignore
 
 from configs import dify_config
 from controllers.console.workspace.error import AccountNotInitializedError
+from extensions.ext_database import db
 from models.model import DifySetup
 from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService
@@ -134,9 +135,13 @@ def setup_required(view):
     @wraps(view)
     def decorated(*args, **kwargs):
         # check setup
-        if dify_config.EDITION == "SELF_HOSTED" and os.environ.get("INIT_PASSWORD") and not DifySetup.query.first():
+        if (
+            dify_config.EDITION == "SELF_HOSTED"
+            and os.environ.get("INIT_PASSWORD")
+            and not db.session.query(DifySetup).first()
+        ):
             raise NotInitValidateError()
-        elif dify_config.EDITION == "SELF_HOSTED" and not DifySetup.query.first():
+        elif dify_config.EDITION == "SELF_HOSTED" and not db.session.query(DifySetup).first():
             raise NotSetupError()
 
         return view(*args, **kwargs)
diff --git a/api/controllers/files/__init__.py b/api/controllers/files/__init__.py
index 97d5c3f88f..d4c3245708 100644
--- a/api/controllers/files/__init__.py
+++ b/api/controllers/files/__init__.py
@@ -6,4 +6,4 @@ bp = Blueprint("files", __name__)
 api = ExternalApi(bp)
 
 
-from . import image_preview, tool_files
+from . import image_preview, tool_files, upload
diff --git a/api/controllers/files/upload.py b/api/controllers/files/upload.py
new file mode 100644
index 0000000000..ca5ea54435
--- /dev/null
+++ b/api/controllers/files/upload.py
@@ -0,0 +1,69 @@
+from flask import request
+from flask_restful import Resource, marshal_with  # type: ignore
+from werkzeug.exceptions import Forbidden
+
+import services
+from controllers.console.wraps import setup_required
+from controllers.files import api
+from controllers.files.error import UnsupportedFileTypeError
+from controllers.inner_api.plugin.wraps import get_user
+from controllers.service_api.app.error import FileTooLargeError
+from core.file.helpers import verify_plugin_file_signature
+from fields.file_fields import file_fields
+from services.file_service import FileService
+
+
+class PluginUploadFileApi(Resource):
+    @setup_required
+    @marshal_with(file_fields)
+    def post(self):
+        # get file from request
+        file = request.files["file"]
+
+        timestamp = request.args.get("timestamp")
+        nonce = request.args.get("nonce")
+        sign = request.args.get("sign")
+        tenant_id = request.args.get("tenant_id")
+        if not tenant_id:
+            raise Forbidden("Invalid request.")
+
+        user_id = request.args.get("user_id")
+        user = get_user(tenant_id, user_id)
+
+        filename = file.filename
+        mimetype = file.mimetype
+
+        if not filename or not mimetype:
+            raise Forbidden("Invalid request.")
+
+        if not timestamp or not nonce or not sign:
+            raise Forbidden("Invalid request.")
+
+        if not verify_plugin_file_signature(
+            filename=filename,
+            mimetype=mimetype,
+            tenant_id=tenant_id,
+            user_id=user_id,
+            timestamp=timestamp,
+            nonce=nonce,
+            sign=sign,
+        ):
+            raise Forbidden("Invalid request.")
+
+        try:
+            upload_file = FileService.upload_file(
+                filename=filename,
+                content=file.read(),
+                mimetype=mimetype,
+                user=user,
+                source=None,
+            )
+        except services.errors.file.FileTooLargeError as file_too_large_error:
+            raise FileTooLargeError(file_too_large_error.description)
+        except services.errors.file.UnsupportedFileTypeError:
+            raise UnsupportedFileTypeError()
+
+        return upload_file, 201
+
+
+api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin")
diff --git a/api/controllers/inner_api/__init__.py b/api/controllers/inner_api/__init__.py
index 9f124736a9..f147a3453f 100644
--- a/api/controllers/inner_api/__init__.py
+++ b/api/controllers/inner_api/__init__.py
@@ -5,4 +5,5 @@ from libs.external_api import ExternalApi
 bp = Blueprint("inner_api", __name__, url_prefix="/inner/api")
 api = ExternalApi(bp)
 
+from .plugin import plugin
 from .workspace import workspace
diff --git a/api/core/model_runtime/model_providers/anthropic/__init__.py b/api/controllers/inner_api/plugin/__init__.py
similarity index 100%
rename from api/core/model_runtime/model_providers/anthropic/__init__.py
rename to api/controllers/inner_api/plugin/__init__.py
diff --git a/api/controllers/inner_api/plugin/plugin.py b/api/controllers/inner_api/plugin/plugin.py
new file mode 100644
index 0000000000..fe892922e9
--- /dev/null
+++ b/api/controllers/inner_api/plugin/plugin.py
@@ -0,0 +1,293 @@
+from flask_restful import Resource  # type: ignore
+
+from controllers.console.wraps import setup_required
+from controllers.inner_api import api
+from controllers.inner_api.plugin.wraps import get_user_tenant, plugin_data
+from controllers.inner_api.wraps import plugin_inner_api_only
+from core.file.helpers import get_signed_file_url_for_plugin
+from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.backwards_invocation.app import PluginAppBackwardsInvocation
+from core.plugin.backwards_invocation.base import BaseBackwardsInvocationResponse
+from core.plugin.backwards_invocation.encrypt import PluginEncrypter
+from core.plugin.backwards_invocation.model import PluginModelBackwardsInvocation
+from core.plugin.backwards_invocation.node import PluginNodeBackwardsInvocation
+from core.plugin.backwards_invocation.tool import PluginToolBackwardsInvocation
+from core.plugin.entities.request import (
+    RequestInvokeApp,
+    RequestInvokeEncrypt,
+    RequestInvokeLLM,
+    RequestInvokeModeration,
+    RequestInvokeParameterExtractorNode,
+    RequestInvokeQuestionClassifierNode,
+    RequestInvokeRerank,
+    RequestInvokeSpeech2Text,
+    RequestInvokeSummary,
+    RequestInvokeTextEmbedding,
+    RequestInvokeTool,
+    RequestInvokeTTS,
+    RequestRequestUploadFile,
+)
+from core.tools.entities.tool_entities import ToolProviderType
+from libs.helper import compact_generate_response
+from models.account import Account, Tenant
+from models.model import EndUser
+
+
+class PluginInvokeLLMApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeLLM)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeLLM):
+        def generator():
+            response = PluginModelBackwardsInvocation.invoke_llm(user_model.id, tenant_model, payload)
+            return PluginModelBackwardsInvocation.convert_to_event_stream(response)
+
+        return compact_generate_response(generator())
+
+
+class PluginInvokeTextEmbeddingApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeTextEmbedding)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTextEmbedding):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginModelBackwardsInvocation.invoke_text_embedding(
+                        user_id=user_model.id,
+                        tenant=tenant_model,
+                        payload=payload,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeRerankApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeRerank)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeRerank):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginModelBackwardsInvocation.invoke_rerank(
+                        user_id=user_model.id,
+                        tenant=tenant_model,
+                        payload=payload,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeTTSApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeTTS)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTTS):
+        def generator():
+            response = PluginModelBackwardsInvocation.invoke_tts(
+                user_id=user_model.id,
+                tenant=tenant_model,
+                payload=payload,
+            )
+            return PluginModelBackwardsInvocation.convert_to_event_stream(response)
+
+        return compact_generate_response(generator())
+
+
+class PluginInvokeSpeech2TextApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeSpeech2Text)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSpeech2Text):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginModelBackwardsInvocation.invoke_speech2text(
+                        user_id=user_model.id,
+                        tenant=tenant_model,
+                        payload=payload,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeModerationApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeModeration)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeModeration):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginModelBackwardsInvocation.invoke_moderation(
+                        user_id=user_model.id,
+                        tenant=tenant_model,
+                        payload=payload,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeToolApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeTool)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTool):
+        def generator():
+            return PluginToolBackwardsInvocation.convert_to_event_stream(
+                PluginToolBackwardsInvocation.invoke_tool(
+                    tenant_id=tenant_model.id,
+                    user_id=user_model.id,
+                    tool_type=ToolProviderType.value_of(payload.tool_type),
+                    provider=payload.provider,
+                    tool_name=payload.tool,
+                    tool_parameters=payload.tool_parameters,
+                ),
+            )
+
+        return compact_generate_response(generator())
+
+
+class PluginInvokeParameterExtractorNodeApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeParameterExtractorNode)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeParameterExtractorNode):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginNodeBackwardsInvocation.invoke_parameter_extractor(
+                        tenant_id=tenant_model.id,
+                        user_id=user_model.id,
+                        parameters=payload.parameters,
+                        model_config=payload.model,
+                        instruction=payload.instruction,
+                        query=payload.query,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeQuestionClassifierNodeApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeQuestionClassifierNode)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeQuestionClassifierNode):
+        try:
+            return jsonable_encoder(
+                BaseBackwardsInvocationResponse(
+                    data=PluginNodeBackwardsInvocation.invoke_question_classifier(
+                        tenant_id=tenant_model.id,
+                        user_id=user_model.id,
+                        query=payload.query,
+                        model_config=payload.model,
+                        classes=payload.classes,
+                        instruction=payload.instruction,
+                    )
+                )
+            )
+        except Exception as e:
+            return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
+
+
+class PluginInvokeAppApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeApp)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeApp):
+        response = PluginAppBackwardsInvocation.invoke_app(
+            app_id=payload.app_id,
+            user_id=user_model.id,
+            tenant_id=tenant_model.id,
+            conversation_id=payload.conversation_id,
+            query=payload.query,
+            stream=payload.response_mode == "streaming",
+            inputs=payload.inputs,
+            files=payload.files,
+        )
+
+        return compact_generate_response(PluginAppBackwardsInvocation.convert_to_event_stream(response))
+
+
+class PluginInvokeEncryptApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeEncrypt)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeEncrypt):
+        """
+        encrypt or decrypt data
+        """
+        try:
+            return BaseBackwardsInvocationResponse(
+                data=PluginEncrypter.invoke_encrypt(tenant_model, payload)
+            ).model_dump()
+        except Exception as e:
+            return BaseBackwardsInvocationResponse(error=str(e)).model_dump()
+
+
+class PluginInvokeSummaryApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestInvokeSummary)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSummary):
+        try:
+            return BaseBackwardsInvocationResponse(
+                data={
+                    "summary": PluginModelBackwardsInvocation.invoke_summary(
+                        user_id=user_model.id,
+                        tenant=tenant_model,
+                        payload=payload,
+                    )
+                }
+            ).model_dump()
+        except Exception as e:
+            return BaseBackwardsInvocationResponse(error=str(e)).model_dump()
+
+
+class PluginUploadFileRequestApi(Resource):
+    @setup_required
+    @plugin_inner_api_only
+    @get_user_tenant
+    @plugin_data(payload_type=RequestRequestUploadFile)
+    def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestRequestUploadFile):
+        # generate signed url
+        url = get_signed_file_url_for_plugin(payload.filename, payload.mimetype, tenant_model.id, user_model.id)
+        return BaseBackwardsInvocationResponse(data={"url": url}).model_dump()
+
+
+api.add_resource(PluginInvokeLLMApi, "/invoke/llm")
+api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding")
+api.add_resource(PluginInvokeRerankApi, "/invoke/rerank")
+api.add_resource(PluginInvokeTTSApi, "/invoke/tts")
+api.add_resource(PluginInvokeSpeech2TextApi, "/invoke/speech2text")
+api.add_resource(PluginInvokeModerationApi, "/invoke/moderation")
+api.add_resource(PluginInvokeToolApi, "/invoke/tool")
+api.add_resource(PluginInvokeParameterExtractorNodeApi, "/invoke/parameter-extractor")
+api.add_resource(PluginInvokeQuestionClassifierNodeApi, "/invoke/question-classifier")
+api.add_resource(PluginInvokeAppApi, "/invoke/app")
+api.add_resource(PluginInvokeEncryptApi, "/invoke/encrypt")
+api.add_resource(PluginInvokeSummaryApi, "/invoke/summary")
+api.add_resource(PluginUploadFileRequestApi, "/upload/file/request")
diff --git a/api/controllers/inner_api/plugin/wraps.py b/api/controllers/inner_api/plugin/wraps.py
new file mode 100644
index 0000000000..c31f9d22ed
--- /dev/null
+++ b/api/controllers/inner_api/plugin/wraps.py
@@ -0,0 +1,116 @@
+from collections.abc import Callable
+from functools import wraps
+from typing import Optional
+
+from flask import request
+from flask_restful import reqparse  # type: ignore
+from pydantic import BaseModel
+from sqlalchemy.orm import Session
+
+from extensions.ext_database import db
+from models.account import Account, Tenant
+from models.model import EndUser
+from services.account_service import AccountService
+
+
+def get_user(tenant_id: str, user_id: str | None) -> Account | EndUser:
+    try:
+        with Session(db.engine) as session:
+            if not user_id:
+                user_id = "DEFAULT-USER"
+
+            if user_id == "DEFAULT-USER":
+                user_model = session.query(EndUser).filter(EndUser.session_id == "DEFAULT-USER").first()
+                if not user_model:
+                    user_model = EndUser(
+                        tenant_id=tenant_id,
+                        type="service_api",
+                        is_anonymous=True if user_id == "DEFAULT-USER" else False,
+                        session_id=user_id,
+                    )
+                    session.add(user_model)
+                    session.commit()
+            else:
+                user_model = AccountService.load_user(user_id)
+                if not user_model:
+                    user_model = session.query(EndUser).filter(EndUser.id == user_id).first()
+                if not user_model:
+                    raise ValueError("user not found")
+    except Exception:
+        raise ValueError("user not found")
+
+    return user_model
+
+
+def get_user_tenant(view: Optional[Callable] = None):
+    def decorator(view_func):
+        @wraps(view_func)
+        def decorated_view(*args, **kwargs):
+            # fetch json body
+            parser = reqparse.RequestParser()
+            parser.add_argument("tenant_id", type=str, required=True, location="json")
+            parser.add_argument("user_id", type=str, required=True, location="json")
+
+            kwargs = parser.parse_args()
+
+            user_id = kwargs.get("user_id")
+            tenant_id = kwargs.get("tenant_id")
+
+            if not tenant_id:
+                raise ValueError("tenant_id is required")
+
+            if not user_id:
+                user_id = "DEFAULT-USER"
+
+            del kwargs["tenant_id"]
+            del kwargs["user_id"]
+
+            try:
+                tenant_model = (
+                    db.session.query(Tenant)
+                    .filter(
+                        Tenant.id == tenant_id,
+                    )
+                    .first()
+                )
+            except Exception:
+                raise ValueError("tenant not found")
+
+            if not tenant_model:
+                raise ValueError("tenant not found")
+
+            kwargs["tenant_model"] = tenant_model
+            kwargs["user_model"] = get_user(tenant_id, user_id)
+
+            return view_func(*args, **kwargs)
+
+        return decorated_view
+
+    if view is None:
+        return decorator
+    else:
+        return decorator(view)
+
+
+def plugin_data(view: Optional[Callable] = None, *, payload_type: type[BaseModel]):
+    def decorator(view_func):
+        def decorated_view(*args, **kwargs):
+            try:
+                data = request.get_json()
+            except Exception:
+                raise ValueError("invalid json")
+
+            try:
+                payload = payload_type(**data)
+            except Exception as e:
+                raise ValueError(f"invalid payload: {str(e)}")
+
+            kwargs["payload"] = payload
+            return view_func(*args, **kwargs)
+
+        return decorated_view
+
+    if view is None:
+        return decorator
+    else:
+        return decorator(view)
diff --git a/api/controllers/inner_api/workspace/workspace.py b/api/controllers/inner_api/workspace/workspace.py
index f6c594863e..436854698e 100644
--- a/api/controllers/inner_api/workspace/workspace.py
+++ b/api/controllers/inner_api/workspace/workspace.py
@@ -4,7 +4,7 @@ from flask_restful import Resource, reqparse  # type: ignore
 
 from controllers.console.wraps import setup_required
 from controllers.inner_api import api
-from controllers.inner_api.wraps import inner_api_only
+from controllers.inner_api.wraps import enterprise_inner_api_only
 from events.tenant_event import tenant_was_created
 from models.account import Account
 from services.account_service import TenantService
@@ -12,7 +12,7 @@ from services.account_service import TenantService
 
 class EnterpriseWorkspace(Resource):
     @setup_required
-    @inner_api_only
+    @enterprise_inner_api_only
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument("name", type=str, required=True, location="json")
@@ -33,7 +33,7 @@ class EnterpriseWorkspace(Resource):
 
 class EnterpriseWorkspaceNoOwnerEmail(Resource):
     @setup_required
-    @inner_api_only
+    @enterprise_inner_api_only
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument("name", type=str, required=True, location="json")
diff --git a/api/controllers/inner_api/wraps.py b/api/controllers/inner_api/wraps.py
index d4587235f6..86d3ad3dc5 100644
--- a/api/controllers/inner_api/wraps.py
+++ b/api/controllers/inner_api/wraps.py
@@ -10,7 +10,7 @@ from extensions.ext_database import db
 from models.model import EndUser
 
 
-def inner_api_only(view):
+def enterprise_inner_api_only(view):
     @wraps(view)
     def decorated(*args, **kwargs):
         if not dify_config.INNER_API:
@@ -18,7 +18,7 @@ def inner_api_only(view):
 
         # get header 'X-Inner-Api-Key'
         inner_api_key = request.headers.get("X-Inner-Api-Key")
-        if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY:
+        if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN:
             abort(401)
 
         return view(*args, **kwargs)
@@ -26,7 +26,7 @@ def inner_api_only(view):
     return decorated
 
 
-def inner_api_user_auth(view):
+def enterprise_inner_api_user_auth(view):
     @wraps(view)
     def decorated(*args, **kwargs):
         if not dify_config.INNER_API:
@@ -60,3 +60,19 @@ def inner_api_user_auth(view):
         return view(*args, **kwargs)
 
     return decorated
+
+
+def plugin_inner_api_only(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        if not dify_config.PLUGIN_DAEMON_KEY:
+            abort(404)
+
+        # get header 'X-Inner-Api-Key'
+        inner_api_key = request.headers.get("X-Inner-Api-Key")
+        if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN:
+            abort(404)
+
+        return view(*args, **kwargs)
+
+    return decorated
diff --git a/api/core/agent/base_agent_runner.py b/api/core/agent/base_agent_runner.py
index ae086ba8ed..13c4e4c3d1 100644
--- a/api/core/agent/base_agent_runner.py
+++ b/api/core/agent/base_agent_runner.py
@@ -1,7 +1,6 @@
 import json
 import logging
 import uuid
-from datetime import UTC, datetime
 from typing import Optional, Union, cast
 
 from core.agent.entities import AgentEntity, AgentToolEntity
@@ -32,19 +31,16 @@ from core.model_runtime.entities import (
 from core.model_runtime.entities.message_entities import ImagePromptMessageContent
 from core.model_runtime.entities.model_entities import ModelFeature
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.utils.encoders import jsonable_encoder
 from core.prompt.utils.extract_thread_messages import extract_thread_messages
+from core.tools.__base.tool import Tool
 from core.tools.entities.tool_entities import (
     ToolParameter,
-    ToolRuntimeVariablePool,
 )
-from core.tools.tool.dataset_retriever_tool import DatasetRetrieverTool
-from core.tools.tool.tool import Tool
 from core.tools.tool_manager import ToolManager
+from core.tools.utils.dataset_retriever_tool import DatasetRetrieverTool
 from extensions.ext_database import db
 from factories import file_factory
 from models.model import Conversation, Message, MessageAgentThought, MessageFile
-from models.tools import ToolConversationVariables
 
 logger = logging.getLogger(__name__)
 
@@ -62,11 +58,9 @@ class BaseAgentRunner(AppRunner):
         queue_manager: AppQueueManager,
         message: Message,
         user_id: str,
+        model_instance: ModelInstance,
         memory: Optional[TokenBufferMemory] = None,
         prompt_messages: Optional[list[PromptMessage]] = None,
-        variables_pool: Optional[ToolRuntimeVariablePool] = None,
-        db_variables: Optional[ToolConversationVariables] = None,
-        model_instance: ModelInstance,
     ) -> None:
         self.tenant_id = tenant_id
         self.application_generate_entity = application_generate_entity
@@ -79,8 +73,6 @@ class BaseAgentRunner(AppRunner):
         self.user_id = user_id
         self.memory = memory
         self.history_prompt_messages = self.organize_agent_history(prompt_messages=prompt_messages or [])
-        self.variables_pool = variables_pool
-        self.db_variables_pool = db_variables
         self.model_instance = model_instance
 
         # init callback
@@ -141,11 +133,10 @@ class BaseAgentRunner(AppRunner):
             agent_tool=tool,
             invoke_from=self.application_generate_entity.invoke_from,
         )
-        tool_entity.load_variables(self.variables_pool)
-
+        assert tool_entity.entity.description
         message_tool = PromptMessageTool(
             name=tool.tool_name,
-            description=tool_entity.description.llm if tool_entity.description else "",
+            description=tool_entity.entity.description.llm,
             parameters={
                 "type": "object",
                 "properties": {},
@@ -153,7 +144,7 @@ class BaseAgentRunner(AppRunner):
             },
         )
 
-        parameters = tool_entity.get_all_runtime_parameters()
+        parameters = tool_entity.get_merged_runtime_parameters()
         for parameter in parameters:
             if parameter.form != ToolParameter.ToolParameterForm.LLM:
                 continue
@@ -186,9 +177,11 @@ class BaseAgentRunner(AppRunner):
         """
         convert dataset retriever tool to prompt message tool
         """
+        assert tool.entity.description
+
         prompt_tool = PromptMessageTool(
-            name=tool.identity.name if tool.identity else "unknown",
-            description=tool.description.llm if tool.description else "",
+            name=tool.entity.identity.name,
+            description=tool.entity.description.llm,
             parameters={
                 "type": "object",
                 "properties": {},
@@ -234,8 +227,7 @@ class BaseAgentRunner(AppRunner):
             # save prompt tool
             prompt_messages_tools.append(prompt_tool)
             # save tool entity
-            if dataset_tool.identity is not None:
-                tool_instances[dataset_tool.identity.name] = dataset_tool
+            tool_instances[dataset_tool.entity.identity.name] = dataset_tool
 
         return tool_instances, prompt_messages_tools
 
@@ -320,24 +312,24 @@ class BaseAgentRunner(AppRunner):
     def save_agent_thought(
         self,
         agent_thought: MessageAgentThought,
-        tool_name: str,
-        tool_input: Union[str, dict],
-        thought: str,
+        tool_name: str | None,
+        tool_input: Union[str, dict, None],
+        thought: str | None,
         observation: Union[str, dict, None],
         tool_invoke_meta: Union[str, dict, None],
-        answer: str,
+        answer: str | None,
         messages_ids: list[str],
         llm_usage: LLMUsage | None = None,
     ):
         """
         Save agent thought
         """
-        queried_thought = (
+        updated_agent_thought = (
             db.session.query(MessageAgentThought).filter(MessageAgentThought.id == agent_thought.id).first()
         )
-        if not queried_thought:
-            raise ValueError(f"Agent thought {agent_thought.id} not found")
-        agent_thought = queried_thought
+        if not updated_agent_thought:
+            raise ValueError("agent thought not found")
+        agent_thought = updated_agent_thought
 
         if thought:
             agent_thought.thought = thought
@@ -349,39 +341,39 @@ class BaseAgentRunner(AppRunner):
             if isinstance(tool_input, dict):
                 try:
                     tool_input = json.dumps(tool_input, ensure_ascii=False)
-                except Exception as e:
+                except Exception:
                     tool_input = json.dumps(tool_input)
 
-            agent_thought.tool_input = tool_input
+            updated_agent_thought.tool_input = tool_input
 
         if observation:
             if isinstance(observation, dict):
                 try:
                     observation = json.dumps(observation, ensure_ascii=False)
-                except Exception as e:
+                except Exception:
                     observation = json.dumps(observation)
 
-            agent_thought.observation = observation
+            updated_agent_thought.observation = observation
 
         if answer:
             agent_thought.answer = answer
 
         if messages_ids is not None and len(messages_ids) > 0:
-            agent_thought.message_files = json.dumps(messages_ids)
+            updated_agent_thought.message_files = json.dumps(messages_ids)
 
         if llm_usage:
-            agent_thought.message_token = llm_usage.prompt_tokens
-            agent_thought.message_price_unit = llm_usage.prompt_price_unit
-            agent_thought.message_unit_price = llm_usage.prompt_unit_price
-            agent_thought.answer_token = llm_usage.completion_tokens
-            agent_thought.answer_price_unit = llm_usage.completion_price_unit
-            agent_thought.answer_unit_price = llm_usage.completion_unit_price
-            agent_thought.tokens = llm_usage.total_tokens
-            agent_thought.total_price = llm_usage.total_price
+            updated_agent_thought.message_token = llm_usage.prompt_tokens
+            updated_agent_thought.message_price_unit = llm_usage.prompt_price_unit
+            updated_agent_thought.message_unit_price = llm_usage.prompt_unit_price
+            updated_agent_thought.answer_token = llm_usage.completion_tokens
+            updated_agent_thought.answer_price_unit = llm_usage.completion_price_unit
+            updated_agent_thought.answer_unit_price = llm_usage.completion_unit_price
+            updated_agent_thought.tokens = llm_usage.total_tokens
+            updated_agent_thought.total_price = llm_usage.total_price
 
         # check if tool labels is not empty
-        labels = agent_thought.tool_labels or {}
-        tools = agent_thought.tool.split(";") if agent_thought.tool else []
+        labels = updated_agent_thought.tool_labels or {}
+        tools = updated_agent_thought.tool.split(";") if updated_agent_thought.tool else []
         for tool in tools:
             if not tool:
                 continue
@@ -392,42 +384,20 @@ class BaseAgentRunner(AppRunner):
                 else:
                     labels[tool] = {"en_US": tool, "zh_Hans": tool}
 
-        agent_thought.tool_labels_str = json.dumps(labels)
+        updated_agent_thought.tool_labels_str = json.dumps(labels)
 
         if tool_invoke_meta is not None:
             if isinstance(tool_invoke_meta, dict):
                 try:
                     tool_invoke_meta = json.dumps(tool_invoke_meta, ensure_ascii=False)
-                except Exception as e:
+                except Exception:
                     tool_invoke_meta = json.dumps(tool_invoke_meta)
 
-            agent_thought.tool_meta_str = tool_invoke_meta
+            updated_agent_thought.tool_meta_str = tool_invoke_meta
 
         db.session.commit()
         db.session.close()
 
-    def update_db_variables(self, tool_variables: ToolRuntimeVariablePool, db_variables: ToolConversationVariables):
-        """
-        convert tool variables to db variables
-        """
-        queried_variables = (
-            db.session.query(ToolConversationVariables)
-            .filter(
-                ToolConversationVariables.conversation_id == self.message.conversation_id,
-            )
-            .first()
-        )
-
-        if not queried_variables:
-            return
-
-        db_variables = queried_variables
-
-        db_variables.updated_at = datetime.now(UTC).replace(tzinfo=None)
-        db_variables.variables_str = json.dumps(jsonable_encoder(tool_variables.pool))
-        db.session.commit()
-        db.session.close()
-
     def organize_agent_history(self, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
         """
         Organize agent history
@@ -464,11 +434,11 @@ class BaseAgentRunner(AppRunner):
                         tool_call_response: list[ToolPromptMessage] = []
                         try:
                             tool_inputs = json.loads(agent_thought.tool_input)
-                        except Exception as e:
+                        except Exception:
                             tool_inputs = {tool: {} for tool in tools}
                         try:
                             tool_responses = json.loads(agent_thought.observation)
-                        except Exception as e:
+                        except Exception:
                             tool_responses = dict.fromkeys(tools, agent_thought.observation)
 
                         for tool in tools:
@@ -515,7 +485,11 @@ class BaseAgentRunner(AppRunner):
         files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
         if not files:
             return UserPromptMessage(content=message.query)
-        file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
+        if message.app_model_config:
+            file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
+        else:
+            file_extra_config = None
+
         if not file_extra_config:
             return UserPromptMessage(content=message.query)
 
diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py
index bbe1865daf..ae70ff2bf1 100644
--- a/api/core/agent/cot_agent_runner.py
+++ b/api/core/agent/cot_agent_runner.py
@@ -1,6 +1,6 @@
 import json
 from abc import ABC, abstractmethod
-from collections.abc import Generator, Mapping
+from collections.abc import Generator, Mapping, Sequence
 from typing import Any, Optional
 
 from core.agent.base_agent_runner import BaseAgentRunner
@@ -18,8 +18,8 @@ from core.model_runtime.entities.message_entities import (
 )
 from core.ops.ops_trace_manager import TraceQueueManager
 from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
+from core.tools.__base.tool import Tool
 from core.tools.entities.tool_entities import ToolInvokeMeta
-from core.tools.tool.tool import Tool
 from core.tools.tool_engine import ToolEngine
 from models.model import Message
 
@@ -27,11 +27,11 @@ from models.model import Message
 class CotAgentRunner(BaseAgentRunner, ABC):
     _is_first_iteration = True
     _ignore_observation_providers = ["wenxin"]
-    _historic_prompt_messages: list[PromptMessage] | None = None
-    _agent_scratchpad: list[AgentScratchpadUnit] | None = None
-    _instruction: str = ""  # FIXME this must be str for now
-    _query: str | None = None
-    _prompt_messages_tools: list[PromptMessageTool] = []
+    _historic_prompt_messages: list[PromptMessage]
+    _agent_scratchpad: list[AgentScratchpadUnit]
+    _instruction: str
+    _query: str
+    _prompt_messages_tools: Sequence[PromptMessageTool]
 
     def run(
         self,
@@ -42,6 +42,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
         """
         Run Cot agent application
         """
+
         app_generate_entity = self.application_generate_entity
         self._repack_app_generate_entity(app_generate_entity)
         self._init_react_state(query)
@@ -54,17 +55,19 @@ class CotAgentRunner(BaseAgentRunner, ABC):
                 app_generate_entity.model_conf.stop.append("Observation")
 
         app_config = self.app_config
+        assert app_config.agent
 
         # init instruction
         inputs = inputs or {}
-        instruction = app_config.prompt_template.simple_prompt_template
-        self._instruction = self._fill_in_inputs_from_external_data_tools(instruction=instruction or "", inputs=inputs)
+        instruction = app_config.prompt_template.simple_prompt_template or ""
+        self._instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs)
 
         iteration_step = 1
         max_iteration_steps = min(app_config.agent.max_iteration if app_config.agent else 5, 5) + 1
 
         # convert tools into ModelRuntime Tool format
-        tool_instances, self._prompt_messages_tools = self._init_prompt_tools()
+        tool_instances, prompt_messages_tools = self._init_prompt_tools()
+        self._prompt_messages_tools = prompt_messages_tools
 
         function_call_state = True
         llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None}
@@ -116,14 +119,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
                 callbacks=[],
             )
 
-            if not isinstance(chunks, Generator):
-                raise ValueError("Expected streaming response from LLM")
-
-            # check llm result
-            if not chunks:
-                raise ValueError("failed to invoke llm")
-
-            usage_dict: dict[str, Optional[LLMUsage]] = {"usage": None}
+            usage_dict: dict[str, Optional[LLMUsage]] = {}
             react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks, usage_dict)
             scratchpad = AgentScratchpadUnit(
                 agent_response="",
@@ -143,25 +139,25 @@ class CotAgentRunner(BaseAgentRunner, ABC):
                 if isinstance(chunk, AgentScratchpadUnit.Action):
                     action = chunk
                     # detect action
-                    if scratchpad.agent_response is not None:
-                        scratchpad.agent_response += json.dumps(chunk.model_dump())
+                    assert scratchpad.agent_response is not None
+                    scratchpad.agent_response += json.dumps(chunk.model_dump())
                     scratchpad.action_str = json.dumps(chunk.model_dump())
                     scratchpad.action = action
                 else:
-                    if scratchpad.agent_response is not None:
-                        scratchpad.agent_response += chunk
-                    if scratchpad.thought is not None:
-                        scratchpad.thought += chunk
+                    assert scratchpad.agent_response is not None
+                    scratchpad.agent_response += chunk
+                    assert scratchpad.thought is not None
+                    scratchpad.thought += chunk
                     yield LLMResultChunk(
                         model=self.model_config.model,
                         prompt_messages=prompt_messages,
                         system_fingerprint="",
                         delta=LLMResultChunkDelta(index=0, message=AssistantPromptMessage(content=chunk), usage=None),
                     )
-            if scratchpad.thought is not None:
-                scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you"
-            if self._agent_scratchpad is not None:
-                self._agent_scratchpad.append(scratchpad)
+
+            assert scratchpad.thought is not None
+            scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you"
+            self._agent_scratchpad.append(scratchpad)
 
             # get llm usage
             if "usage" in usage_dict:
@@ -256,8 +252,6 @@ class CotAgentRunner(BaseAgentRunner, ABC):
             answer=final_answer,
             messages_ids=[],
         )
-        if self.variables_pool is not None and self.db_variables_pool is not None:
-            self.update_db_variables(self.variables_pool, self.db_variables_pool)
         # publish end event
         self.queue_manager.publish(
             QueueMessageEndEvent(
@@ -275,7 +269,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
     def _handle_invoke_action(
         self,
         action: AgentScratchpadUnit.Action,
-        tool_instances: dict[str, Tool],
+        tool_instances: Mapping[str, Tool],
         message_file_ids: list[str],
         trace_manager: Optional[TraceQueueManager] = None,
     ) -> tuple[str, ToolInvokeMeta]:
@@ -315,11 +309,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
         )
 
         # publish files
-        for message_file_id, save_as in message_files:
-            if save_as is not None and self.variables_pool:
-                # FIXME the save_as type is confusing, it should be a string or not
-                self.variables_pool.set_file(tool_name=tool_call_name, value=message_file_id, name=str(save_as))
-
+        for message_file_id in message_files:
             # publish message file
             self.queue_manager.publish(
                 QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER
@@ -342,7 +332,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
         for key, value in inputs.items():
             try:
                 instruction = instruction.replace(f"{{{{{key}}}}}", str(value))
-            except Exception as e:
+            except Exception:
                 continue
 
         return instruction
@@ -379,7 +369,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
         return message
 
     def _organize_historic_prompt_messages(
-        self, current_session_messages: Optional[list[PromptMessage]] = None
+        self, current_session_messages: list[PromptMessage] | None = None
     ) -> list[PromptMessage]:
         """
         organize historic prompt messages
@@ -391,8 +381,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
         for message in self.history_prompt_messages:
             if isinstance(message, AssistantPromptMessage):
                 if not current_scratchpad:
-                    if not isinstance(message.content, str | None):
-                        raise NotImplementedError("expected str type")
+                    assert isinstance(message.content, str)
                     current_scratchpad = AgentScratchpadUnit(
                         agent_response=message.content,
                         thought=message.content or "I am thinking about how to help you",
@@ -411,9 +400,8 @@ class CotAgentRunner(BaseAgentRunner, ABC):
                     except:
                         pass
             elif isinstance(message, ToolPromptMessage):
-                if not current_scratchpad:
-                    continue
-                if isinstance(message.content, str):
+                if current_scratchpad:
+                    assert isinstance(message.content, str)
                     current_scratchpad.observation = message.content
                 else:
                     raise NotImplementedError("expected str type")
diff --git a/api/core/agent/cot_chat_agent_runner.py b/api/core/agent/cot_chat_agent_runner.py
index 6a96c349b2..7d407a4976 100644
--- a/api/core/agent/cot_chat_agent_runner.py
+++ b/api/core/agent/cot_chat_agent_runner.py
@@ -19,8 +19,8 @@ class CotChatAgentRunner(CotAgentRunner):
         """
         Organize system prompt
         """
-        if not self.app_config.agent:
-            raise ValueError("Agent configuration is not set")
+        assert self.app_config.agent
+        assert self.app_config.agent.prompt
 
         prompt_entity = self.app_config.agent.prompt
         if not prompt_entity:
@@ -83,8 +83,10 @@ class CotChatAgentRunner(CotAgentRunner):
             assistant_message.content = ""  # FIXME: type check tell mypy that assistant_message.content is str
             for unit in agent_scratchpad:
                 if unit.is_final():
+                    assert isinstance(assistant_message.content, str)
                     assistant_message.content += f"Final Answer: {unit.agent_response}"
                 else:
+                    assert isinstance(assistant_message.content, str)
                     assistant_message.content += f"Thought: {unit.thought}\n\n"
                     if unit.action_str:
                         assistant_message.content += f"Action: {unit.action_str}\n\n"
diff --git a/api/core/agent/entities.py b/api/core/agent/entities.py
index 2ae87dca3f..5c7cee3a78 100644
--- a/api/core/agent/entities.py
+++ b/api/core/agent/entities.py
@@ -1,18 +1,21 @@
-from enum import Enum
-from typing import Any, Literal, Optional, Union
+from enum import StrEnum
+from typing import Any, Optional, Union
 
 from pydantic import BaseModel
 
+from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType
+
 
 class AgentToolEntity(BaseModel):
     """
     Agent Tool Entity.
     """
 
-    provider_type: Literal["builtin", "api", "workflow"]
+    provider_type: ToolProviderType
     provider_id: str
     tool_name: str
     tool_parameters: dict[str, Any] = {}
+    plugin_unique_identifier: str | None = None
 
 
 class AgentPromptEntity(BaseModel):
@@ -66,7 +69,7 @@ class AgentEntity(BaseModel):
     Agent Entity.
     """
 
-    class Strategy(Enum):
+    class Strategy(StrEnum):
         """
         Agent Strategy.
         """
@@ -78,5 +81,13 @@ class AgentEntity(BaseModel):
     model: str
     strategy: Strategy
     prompt: Optional[AgentPromptEntity] = None
-    tools: list[AgentToolEntity] | None = None
+    tools: Optional[list[AgentToolEntity]] = None
     max_iteration: int = 5
+
+
+class AgentInvokeMessage(ToolInvokeMessage):
+    """
+    Agent Invoke Message.
+    """
+
+    pass
diff --git a/api/core/agent/fc_agent_runner.py b/api/core/agent/fc_agent_runner.py
index b862c96072..f45fa5c66e 100644
--- a/api/core/agent/fc_agent_runner.py
+++ b/api/core/agent/fc_agent_runner.py
@@ -46,18 +46,20 @@ class FunctionCallAgentRunner(BaseAgentRunner):
         # convert tools into ModelRuntime Tool format
         tool_instances, prompt_messages_tools = self._init_prompt_tools()
 
+        assert app_config.agent
+
         iteration_step = 1
         max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1
 
         # continue to run until there is not any tool call
         function_call_state = True
-        llm_usage: dict[str, LLMUsage] = {"usage": LLMUsage.empty_usage()}
+        llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None}
         final_answer = ""
 
         # get tracing instance
         trace_manager = app_generate_entity.trace_manager
 
-        def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage):
+        def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: LLMUsage):
             if not final_llm_usage_dict["usage"]:
                 final_llm_usage_dict["usage"] = usage
             else:
@@ -107,7 +109,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
 
             current_llm_usage = None
 
-            if self.stream_tool_call and isinstance(chunks, Generator):
+            if isinstance(chunks, Generator):
                 is_first_chunk = True
                 for chunk in chunks:
                     if is_first_chunk:
@@ -124,7 +126,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
                             tool_call_inputs = json.dumps(
                                 {tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False
                             )
-                        except json.JSONDecodeError as e:
+                        except json.JSONDecodeError:
                             # ensure ascii to avoid encoding error
                             tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls})
 
@@ -140,7 +142,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
                         current_llm_usage = chunk.delta.usage
 
                     yield chunk
-            elif not self.stream_tool_call and isinstance(chunks, LLMResult):
+            else:
                 result = chunks
                 # check if there is any tool call
                 if self.check_blocking_tool_calls(result):
@@ -151,7 +153,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
                         tool_call_inputs = json.dumps(
                             {tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False
                         )
-                    except json.JSONDecodeError as e:
+                    except json.JSONDecodeError:
                         # ensure ascii to avoid encoding error
                         tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls})
 
@@ -183,8 +185,6 @@ class FunctionCallAgentRunner(BaseAgentRunner):
                         usage=result.usage,
                     ),
                 )
-            else:
-                raise RuntimeError(f"invalid chunks type: {type(chunks)}")
 
             assistant_message = AssistantPromptMessage(content="", tool_calls=[])
             if tool_calls:
@@ -243,15 +243,12 @@ class FunctionCallAgentRunner(BaseAgentRunner):
                         invoke_from=self.application_generate_entity.invoke_from,
                         agent_tool_callback=self.agent_callback,
                         trace_manager=trace_manager,
+                        app_id=self.application_generate_entity.app_config.app_id,
+                        message_id=self.message.id,
+                        conversation_id=self.conversation.id,
                     )
                     # publish files
-                    for message_file_id, save_as in message_files:
-                        if save_as:
-                            if self.variables_pool:
-                                self.variables_pool.set_file(
-                                    tool_name=tool_call_name, value=message_file_id, name=save_as
-                                )
-
+                    for message_file_id in message_files:
                         # publish message file
                         self.queue_manager.publish(
                             QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER
@@ -303,8 +300,6 @@ class FunctionCallAgentRunner(BaseAgentRunner):
 
             iteration_step += 1
 
-        if self.variables_pool and self.db_variables_pool:
-            self.update_db_variables(self.variables_pool, self.db_variables_pool)
         # publish end event
         self.queue_manager.publish(
             QueueMessageEndEvent(
@@ -335,9 +330,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
             return True
         return False
 
-    def extract_tool_calls(
-        self, llm_result_chunk: LLMResultChunk
-    ) -> Union[None, list[tuple[str, str, dict[str, Any]]]]:
+    def extract_tool_calls(self, llm_result_chunk: LLMResultChunk) -> list[tuple[str, str, dict[str, Any]]]:
         """
         Extract tool calls from llm result chunk
 
@@ -360,7 +353,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
 
         return tool_calls
 
-    def extract_blocking_tool_calls(self, llm_result: LLMResult) -> Union[None, list[tuple[str, str, dict[str, Any]]]]:
+    def extract_blocking_tool_calls(self, llm_result: LLMResult) -> list[tuple[str, str, dict[str, Any]]]:
         """
         Extract blocking tool calls from llm result
 
@@ -383,9 +376,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
 
         return tool_calls
 
-    def _init_system_message(
-        self, prompt_template: str, prompt_messages: Optional[list[PromptMessage]] = None
-    ) -> list[PromptMessage]:
+    def _init_system_message(self, prompt_template: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
         """
         Initialize system message
         """
diff --git a/api/core/agent/plugin_entities.py b/api/core/agent/plugin_entities.py
new file mode 100644
index 0000000000..92bd5500ef
--- /dev/null
+++ b/api/core/agent/plugin_entities.py
@@ -0,0 +1,89 @@
+import enum
+from typing import Any, Optional
+
+from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validator
+
+from core.entities.parameter_entities import CommonParameterType
+from core.plugin.entities.parameters import (
+    PluginParameter,
+    as_normal_type,
+    cast_parameter_value,
+    init_frontend_parameter,
+)
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_entities import (
+    ToolIdentity,
+    ToolProviderIdentity,
+)
+
+
+class AgentStrategyProviderIdentity(ToolProviderIdentity):
+    """
+    Inherits from ToolProviderIdentity, without any additional fields.
+    """
+
+    pass
+
+
+class AgentStrategyParameter(PluginParameter):
+    class AgentStrategyParameterType(enum.StrEnum):
+        """
+        Keep all the types from PluginParameterType
+        """
+
+        STRING = CommonParameterType.STRING.value
+        NUMBER = CommonParameterType.NUMBER.value
+        BOOLEAN = CommonParameterType.BOOLEAN.value
+        SELECT = CommonParameterType.SELECT.value
+        SECRET_INPUT = CommonParameterType.SECRET_INPUT.value
+        FILE = CommonParameterType.FILE.value
+        FILES = CommonParameterType.FILES.value
+        APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
+        MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
+        TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value
+
+        # deprecated, should not use.
+        SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value
+
+        def as_normal_type(self):
+            return as_normal_type(self)
+
+        def cast_value(self, value: Any):
+            return cast_parameter_value(self, value)
+
+    type: AgentStrategyParameterType = Field(..., description="The type of the parameter")
+
+    def init_frontend_parameter(self, value: Any):
+        return init_frontend_parameter(self, self.type, value)
+
+
+class AgentStrategyProviderEntity(BaseModel):
+    identity: AgentStrategyProviderIdentity
+    plugin_id: Optional[str] = Field(None, description="The id of the plugin")
+
+
+class AgentStrategyIdentity(ToolIdentity):
+    """
+    Inherits from ToolIdentity, without any additional fields.
+    """
+
+    pass
+
+
+class AgentStrategyEntity(BaseModel):
+    identity: AgentStrategyIdentity
+    parameters: list[AgentStrategyParameter] = Field(default_factory=list)
+    description: I18nObject = Field(..., description="The description of the agent strategy")
+    output_schema: Optional[dict] = None
+
+    # pydantic configs
+    model_config = ConfigDict(protected_namespaces=())
+
+    @field_validator("parameters", mode="before")
+    @classmethod
+    def set_parameters(cls, v, validation_info: ValidationInfo) -> list[AgentStrategyParameter]:
+        return v or []
+
+
+class AgentProviderEntityWithPlugin(AgentStrategyProviderEntity):
+    strategies: list[AgentStrategyEntity] = Field(default_factory=list)
diff --git a/api/core/agent/strategy/base.py b/api/core/agent/strategy/base.py
new file mode 100644
index 0000000000..ead81a7a0e
--- /dev/null
+++ b/api/core/agent/strategy/base.py
@@ -0,0 +1,42 @@
+from abc import ABC, abstractmethod
+from collections.abc import Generator, Sequence
+from typing import Any, Optional
+
+from core.agent.entities import AgentInvokeMessage
+from core.agent.plugin_entities import AgentStrategyParameter
+
+
+class BaseAgentStrategy(ABC):
+    """
+    Agent Strategy
+    """
+
+    def invoke(
+        self,
+        params: dict[str, Any],
+        user_id: str,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[AgentInvokeMessage, None, None]:
+        """
+        Invoke the agent strategy.
+        """
+        yield from self._invoke(params, user_id, conversation_id, app_id, message_id)
+
+    def get_parameters(self) -> Sequence[AgentStrategyParameter]:
+        """
+        Get the parameters for the agent strategy.
+        """
+        return []
+
+    @abstractmethod
+    def _invoke(
+        self,
+        params: dict[str, Any],
+        user_id: str,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[AgentInvokeMessage, None, None]:
+        pass
diff --git a/api/core/agent/strategy/plugin.py b/api/core/agent/strategy/plugin.py
new file mode 100644
index 0000000000..a4b25f46e6
--- /dev/null
+++ b/api/core/agent/strategy/plugin.py
@@ -0,0 +1,59 @@
+from collections.abc import Generator, Sequence
+from typing import Any, Optional
+
+from core.agent.entities import AgentInvokeMessage
+from core.agent.plugin_entities import AgentStrategyEntity, AgentStrategyParameter
+from core.agent.strategy.base import BaseAgentStrategy
+from core.plugin.manager.agent import PluginAgentManager
+from core.plugin.utils.converter import convert_parameters_to_plugin_format
+
+
+class PluginAgentStrategy(BaseAgentStrategy):
+    """
+    Agent Strategy
+    """
+
+    tenant_id: str
+    declaration: AgentStrategyEntity
+
+    def __init__(self, tenant_id: str, declaration: AgentStrategyEntity):
+        self.tenant_id = tenant_id
+        self.declaration = declaration
+
+    def get_parameters(self) -> Sequence[AgentStrategyParameter]:
+        return self.declaration.parameters
+
+    def initialize_parameters(self, params: dict[str, Any]) -> dict[str, Any]:
+        """
+        Initialize the parameters for the agent strategy.
+        """
+        for parameter in self.declaration.parameters:
+            params[parameter.name] = parameter.init_frontend_parameter(params.get(parameter.name))
+        return params
+
+    def _invoke(
+        self,
+        params: dict[str, Any],
+        user_id: str,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[AgentInvokeMessage, None, None]:
+        """
+        Invoke the agent strategy.
+        """
+        manager = PluginAgentManager()
+
+        initialized_params = self.initialize_parameters(params)
+        params = convert_parameters_to_plugin_format(initialized_params)
+
+        yield from manager.invoke(
+            tenant_id=self.tenant_id,
+            user_id=user_id,
+            agent_provider=self.declaration.identity.provider,
+            agent_strategy=self.declaration.identity.name,
+            agent_params=params,
+            conversation_id=conversation_id,
+            app_id=app_id,
+            message_id=message_id,
+        )
diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py
index cdc82860c6..ecb045a30a 100644
--- a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py
+++ b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py
@@ -4,7 +4,8 @@ from core.app.app_config.entities import EasyUIBasedAppConfig
 from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
 from core.entities.model_entities import ModelStatus
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
-from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.entities.llm_entities import LLMMode
+from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.provider_manager import ProviderManager
 
@@ -63,14 +64,14 @@ class ModelConfigConverter:
             stop = completion_params["stop"]
             del completion_params["stop"]
 
+        model_schema = model_type_instance.get_model_schema(model_config.model, model_credentials)
+
         # get model mode
         model_mode = model_config.mode
         if not model_mode:
-            mode_enum = model_type_instance.get_model_mode(model=model_config.model, credentials=model_credentials)
-
-            model_mode = mode_enum.value
-
-        model_schema = model_type_instance.get_model_schema(model_config.model, model_credentials)
+            model_mode = LLMMode.CHAT.value
+            if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE):
+                model_mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE]).value
 
         if not model_schema:
             raise ValueError(f"Model {model_name} not exist.")
diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py
index 6426865115..b19865ff4c 100644
--- a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py
+++ b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py
@@ -2,8 +2,9 @@ from collections.abc import Mapping
 from typing import Any
 
 from core.app.app_config.entities import ModelConfigEntity
+from core.entities import DEFAULT_PLUGIN_ID
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
-from core.model_runtime.model_providers import model_provider_factory
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
 from core.provider_manager import ProviderManager
 
 
@@ -53,9 +54,18 @@ class ModelConfigManager:
             raise ValueError("model must be of object type")
 
         # model.provider
+        model_provider_factory = ModelProviderFactory(tenant_id)
         provider_entities = model_provider_factory.get_providers()
         model_provider_names = [provider.provider for provider in provider_entities]
-        if "provider" not in config["model"] or config["model"]["provider"] not in model_provider_names:
+        if "provider" not in config["model"]:
+            raise ValueError(f"model.provider is required and must be in {str(model_provider_names)}")
+
+        if "/" not in config["model"]["provider"]:
+            config["model"]["provider"] = (
+                f"{DEFAULT_PLUGIN_ID}/{config['model']['provider']}/{config['model']['provider']}"
+            )
+
+        if config["model"]["provider"] not in model_provider_names:
             raise ValueError(f"model.provider is required and must be in {str(model_provider_names)}")
 
         # model.name
diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py
index 930d4c80bc..5cc4b2b0e4 100644
--- a/api/core/app/apps/advanced_chat/app_generator.py
+++ b/api/core/app/apps/advanced_chat/app_generator.py
@@ -37,17 +37,6 @@ logger = logging.getLogger(__name__)
 class AdvancedChatAppGenerator(MessageBasedAppGenerator):
     _dialogue_count: int
 
-    @overload
-    def generate(
-        self,
-        app_model: App,
-        workflow: Workflow,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: Literal[True],
-    ) -> Generator[str, None, None]: ...
-
     @overload
     def generate(
         self,
@@ -65,20 +54,31 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         app_model: App,
         workflow: Workflow,
         user: Union[Account, EndUser],
-        args: Mapping[str, Any],
+        args: Mapping,
         invoke_from: InvokeFrom,
-        streaming: bool = True,
-    ) -> Union[Mapping[str, Any], Generator[str, None, None]]: ...
+        streaming: Literal[True],
+    ) -> Generator[Mapping | str, None, None]: ...
+
+    @overload
+    def generate(
+        self,
+        app_model: App,
+        workflow: Workflow,
+        user: Union[Account, EndUser],
+        args: Mapping,
+        invoke_from: InvokeFrom,
+        streaming: bool,
+    ) -> Mapping[str, Any] | Generator[str | Mapping, None, None]: ...
 
     def generate(
         self,
         app_model: App,
         workflow: Workflow,
         user: Union[Account, EndUser],
-        args: Mapping[str, Any],
+        args: Mapping,
         invoke_from: InvokeFrom,
         streaming: bool = True,
-    ):
+    ) -> Mapping[str, Any] | Generator[str | Mapping, None, None]:
         """
         Generate App response.
 
@@ -154,6 +154,8 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             workflow_run_id=workflow_run_id,
         )
         contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
 
         return self._generate(
             workflow=workflow,
@@ -165,8 +167,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         )
 
     def single_iteration_generate(
-        self, app_model: App, workflow: Workflow, node_id: str, user: Account, args: dict, streaming: bool = True
-    ) -> Mapping[str, Any] | Generator[str, None, None]:
+        self,
+        app_model: App,
+        workflow: Workflow,
+        node_id: str,
+        user: Account | EndUser,
+        args: Mapping,
+        streaming: bool = True,
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
         """
         Generate App response.
 
@@ -203,6 +211,8 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             ),
         )
         contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
 
         return self._generate(
             workflow=workflow,
@@ -222,7 +232,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         application_generate_entity: AdvancedChatAppGenerateEntity,
         conversation: Optional[Conversation] = None,
         stream: bool = True,
-    ) -> Mapping[str, Any] | Generator[str, None, None]:
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
         """
         Generate App response.
 
diff --git a/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py b/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py
index a506447671..4e6422e2df 100644
--- a/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py
+++ b/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py
@@ -56,7 +56,7 @@ def _process_future(
 
 
 class AppGeneratorTTSPublisher:
-    def __init__(self, tenant_id: str, voice: str):
+    def __init__(self, tenant_id: str, voice: str, language: Optional[str] = None):
         self.logger = logging.getLogger(__name__)
         self.tenant_id = tenant_id
         self.msg_text = ""
@@ -67,7 +67,7 @@ class AppGeneratorTTSPublisher:
         self.model_instance = self.model_manager.get_default_model_instance(
             tenant_id=self.tenant_id, model_type=ModelType.TTS
         )
-        self.voices = self.model_instance.get_tts_voices()
+        self.voices = self.model_instance.get_tts_voices(language=language)
         values = [voice.get("value") for voice in self.voices]
         self.voice = voice
         if not voice or voice not in values:
diff --git a/api/core/app/apps/advanced_chat/app_runner.py b/api/core/app/apps/advanced_chat/app_runner.py
index 6339d79898..0e918e4929 100644
--- a/api/core/app/apps/advanced_chat/app_runner.py
+++ b/api/core/app/apps/advanced_chat/app_runner.py
@@ -77,7 +77,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
                 workflow=workflow,
                 node_id=self.application_generate_entity.single_iteration_run.node_id,
-                user_inputs=self.application_generate_entity.single_iteration_run.inputs,
+                user_inputs=dict(self.application_generate_entity.single_iteration_run.inputs),
             )
         else:
             inputs = self.application_generate_entity.inputs
diff --git a/api/core/app/apps/advanced_chat/generate_response_converter.py b/api/core/app/apps/advanced_chat/generate_response_converter.py
index 5fbd3e9a94..b2bff43208 100644
--- a/api/core/app/apps/advanced_chat/generate_response_converter.py
+++ b/api/core/app/apps/advanced_chat/generate_response_converter.py
@@ -1,4 +1,3 @@
-import json
 from collections.abc import Generator
 from typing import Any, cast
 
@@ -58,7 +57,7 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
     @classmethod
     def convert_stream_full_response(
         cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[str, Any, None]:
+    ) -> Generator[dict | str, Any, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -84,12 +83,12 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(data)
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
 
     @classmethod
     def convert_stream_simple_response(
         cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[str, Any, None]:
+    ) -> Generator[dict | str, Any, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response
@@ -123,4 +122,4 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 
-            yield json.dumps(response_chunk)
+            yield response_chunk
diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py
index 6aad805034..3d6ba5ce37 100644
--- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py
+++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py
@@ -17,6 +17,7 @@ from core.app.entities.app_invoke_entities import (
 )
 from core.app.entities.queue_entities import (
     QueueAdvancedChatMessageEndEvent,
+    QueueAgentLogEvent,
     QueueAnnotationReplyEvent,
     QueueErrorEvent,
     QueueIterationCompletedEvent,
@@ -219,7 +220,9 @@ class AdvancedChatAppGenerateTaskPipeline:
             and features_dict["text_to_speech"].get("enabled")
             and features_dict["text_to_speech"].get("autoPlay") == "enabled"
         ):
-            tts_publisher = AppGeneratorTTSPublisher(tenant_id, features_dict["text_to_speech"].get("voice"))
+            tts_publisher = AppGeneratorTTSPublisher(
+                tenant_id, features_dict["text_to_speech"].get("voice"), features_dict["text_to_speech"].get("language")
+            )
 
         for response in self._process_stream_response(tts_publisher=tts_publisher, trace_manager=trace_manager):
             while True:
@@ -247,7 +250,7 @@ class AdvancedChatAppGenerateTaskPipeline:
                 else:
                     start_listener_time = time.time()
                     yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
-            except Exception as e:
+            except Exception:
                 logger.exception(f"Failed to listen audio message, task_id: {task_id}")
                 break
         if tts_publisher:
@@ -640,6 +643,10 @@ class AdvancedChatAppGenerateTaskPipeline:
                     session.commit()
 
                 yield self._message_end_to_stream_response()
+            elif isinstance(event, QueueAgentLogEvent):
+                yield self._workflow_cycle_manager._handle_agent_log(
+                    task_id=self._application_generate_entity.task_id, event=event
+                )
             else:
                 continue
 
diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py
index 0b3704b018..e47428b557 100644
--- a/api/core/app/apps/agent_chat/app_generator.py
+++ b/api/core/app/apps/agent_chat/app_generator.py
@@ -1,3 +1,4 @@
+import contextvars
 import logging
 import threading
 import uuid
@@ -29,17 +30,6 @@ logger = logging.getLogger(__name__)
 
 
 class AgentChatAppGenerator(MessageBasedAppGenerator):
-    @overload
-    def generate(
-        self,
-        *,
-        app_model: App,
-        user: Union[Account, EndUser],
-        args: Mapping[str, Any],
-        invoke_from: InvokeFrom,
-        streaming: Literal[True],
-    ) -> Generator[str, None, None]: ...
-
     @overload
     def generate(
         self,
@@ -51,6 +41,17 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
         streaming: Literal[False],
     ) -> Mapping[str, Any]: ...
 
+    @overload
+    def generate(
+        self,
+        *,
+        app_model: App,
+        user: Union[Account, EndUser],
+        args: Mapping[str, Any],
+        invoke_from: InvokeFrom,
+        streaming: Literal[True],
+    ) -> Generator[Mapping | str, None, None]: ...
+
     @overload
     def generate(
         self,
@@ -60,7 +61,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool,
-    ) -> Mapping[str, Any] | Generator[str, None, None]: ...
+    ) -> Union[Mapping, Generator[Mapping | str, None, None]]: ...
 
     def generate(
         self,
@@ -70,7 +71,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool = True,
-    ):
+    ) -> Union[Mapping, Generator[Mapping | str, None, None]]:
         """
         Generate App response.
 
@@ -180,6 +181,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
             target=self._generate_worker,
             kwargs={
                 "flask_app": current_app._get_current_object(),  # type: ignore
+                "context": contextvars.copy_context(),
                 "application_generate_entity": application_generate_entity,
                 "queue_manager": queue_manager,
                 "conversation_id": conversation.id,
@@ -204,6 +206,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
     def _generate_worker(
         self,
         flask_app: Flask,
+        context: contextvars.Context,
         application_generate_entity: AgentChatAppGenerateEntity,
         queue_manager: AppQueueManager,
         conversation_id: str,
@@ -218,6 +221,9 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
         :param message_id: message ID
         :return:
         """
+        for var, val in context.items():
+            var.set(val)
+
         with flask_app.app_context():
             try:
                 # get conversation and message
diff --git a/api/core/app/apps/agent_chat/app_runner.py b/api/core/app/apps/agent_chat/app_runner.py
index c670536140..72a1717112 100644
--- a/api/core/app/apps/agent_chat/app_runner.py
+++ b/api/core/app/apps/agent_chat/app_runner.py
@@ -8,18 +8,16 @@ from core.agent.fc_agent_runner import FunctionCallAgentRunner
 from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfig
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.apps.base_app_runner import AppRunner
-from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, ModelConfigWithCredentialsEntity
+from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity
 from core.app.entities.queue_entities import QueueAnnotationReplyEvent
 from core.memory.token_buffer_memory import TokenBufferMemory
 from core.model_manager import ModelInstance
-from core.model_runtime.entities.llm_entities import LLMMode, LLMUsage
+from core.model_runtime.entities.llm_entities import LLMMode
 from core.model_runtime.entities.model_entities import ModelFeature, ModelPropertyKey
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.moderation.base import ModerationError
-from core.tools.entities.tool_entities import ToolRuntimeVariablePool
 from extensions.ext_database import db
-from models.model import App, Conversation, Message, MessageAgentThought
-from models.tools import ToolConversationVariables
+from models.model import App, Conversation, Message
 
 logger = logging.getLogger(__name__)
 
@@ -64,8 +62,8 @@ class AgentChatAppRunner(AppRunner):
             app_record=app_record,
             model_config=application_generate_entity.model_conf,
             prompt_template_entity=app_config.prompt_template,
-            inputs=inputs,
-            files=files,
+            inputs=dict(inputs),
+            files=list(files),
             query=query,
         )
 
@@ -86,8 +84,8 @@ class AgentChatAppRunner(AppRunner):
             app_record=app_record,
             model_config=application_generate_entity.model_conf,
             prompt_template_entity=app_config.prompt_template,
-            inputs=inputs,
-            files=files,
+            inputs=dict(inputs),
+            files=list(files),
             query=query,
             memory=memory,
         )
@@ -99,8 +97,8 @@ class AgentChatAppRunner(AppRunner):
                 app_id=app_record.id,
                 tenant_id=app_config.tenant_id,
                 app_generate_entity=application_generate_entity,
-                inputs=inputs,
-                query=query,
+                inputs=dict(inputs),
+                query=query or "",
                 message_id=message.id,
             )
         except ModerationError as e:
@@ -156,9 +154,9 @@ class AgentChatAppRunner(AppRunner):
             app_record=app_record,
             model_config=application_generate_entity.model_conf,
             prompt_template_entity=app_config.prompt_template,
-            inputs=inputs,
-            files=files,
-            query=query,
+            inputs=dict(inputs),
+            files=list(files),
+            query=query or "",
             memory=memory,
         )
 
@@ -173,16 +171,7 @@ class AgentChatAppRunner(AppRunner):
             return
 
         agent_entity = app_config.agent
-        if not agent_entity:
-            raise ValueError("Agent entity not found")
-
-        # load tool variables
-        tool_conversation_variables = self._load_tool_variables(
-            conversation_id=conversation.id, user_id=application_generate_entity.user_id, tenant_id=app_config.tenant_id
-        )
-
-        # convert db variables to tool variables
-        tool_variables = self._convert_db_variables_to_tool_variables(tool_conversation_variables)
+        assert agent_entity is not None
 
         # init model instance
         model_instance = ModelInstance(
@@ -193,9 +182,9 @@ class AgentChatAppRunner(AppRunner):
             app_record=app_record,
             model_config=application_generate_entity.model_conf,
             prompt_template_entity=app_config.prompt_template,
-            inputs=inputs,
-            files=files,
-            query=query,
+            inputs=dict(inputs),
+            files=list(files),
+            query=query or "",
             memory=memory,
         )
 
@@ -243,8 +232,6 @@ class AgentChatAppRunner(AppRunner):
             user_id=application_generate_entity.user_id,
             memory=memory,
             prompt_messages=prompt_message,
-            variables_pool=tool_variables,
-            db_variables=tool_conversation_variables,
             model_instance=model_instance,
         )
 
@@ -261,73 +248,3 @@ class AgentChatAppRunner(AppRunner):
             stream=application_generate_entity.stream,
             agent=True,
         )
-
-    def _load_tool_variables(self, conversation_id: str, user_id: str, tenant_id: str) -> ToolConversationVariables:
-        """
-        load tool variables from database
-        """
-        tool_variables: ToolConversationVariables | None = (
-            db.session.query(ToolConversationVariables)
-            .filter(
-                ToolConversationVariables.conversation_id == conversation_id,
-                ToolConversationVariables.tenant_id == tenant_id,
-            )
-            .first()
-        )
-
-        if tool_variables:
-            # save tool variables to session, so that we can update it later
-            db.session.add(tool_variables)
-        else:
-            # create new tool variables
-            tool_variables = ToolConversationVariables(
-                conversation_id=conversation_id,
-                user_id=user_id,
-                tenant_id=tenant_id,
-                variables_str="[]",
-            )
-            db.session.add(tool_variables)
-            db.session.commit()
-
-        return tool_variables
-
-    def _convert_db_variables_to_tool_variables(
-        self, db_variables: ToolConversationVariables
-    ) -> ToolRuntimeVariablePool:
-        """
-        convert db variables to tool variables
-        """
-        return ToolRuntimeVariablePool(
-            **{
-                "conversation_id": db_variables.conversation_id,
-                "user_id": db_variables.user_id,
-                "tenant_id": db_variables.tenant_id,
-                "pool": db_variables.variables,
-            }
-        )
-
-    def _get_usage_of_all_agent_thoughts(
-        self, model_config: ModelConfigWithCredentialsEntity, message: Message
-    ) -> LLMUsage:
-        """
-        Get usage of all agent thoughts
-        :param model_config: model config
-        :param message: message
-        :return:
-        """
-        agent_thoughts = (
-            db.session.query(MessageAgentThought).filter(MessageAgentThought.message_id == message.id).all()
-        )
-
-        all_message_tokens = 0
-        all_answer_tokens = 0
-        for agent_thought in agent_thoughts:
-            all_message_tokens += agent_thought.message_tokens
-            all_answer_tokens += agent_thought.answer_tokens
-
-        model_type_instance = model_config.provider_model_bundle.model_type_instance
-        model_type_instance = cast(LargeLanguageModel, model_type_instance)
-
-        return model_type_instance._calc_response_usage(
-            model_config.model, model_config.credentials, all_message_tokens, all_answer_tokens
-        )
diff --git a/api/core/app/apps/agent_chat/generate_response_converter.py b/api/core/app/apps/agent_chat/generate_response_converter.py
index ce331d904c..0eea135167 100644
--- a/api/core/app/apps/agent_chat/generate_response_converter.py
+++ b/api/core/app/apps/agent_chat/generate_response_converter.py
@@ -1,9 +1,9 @@
-import json
 from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
 from core.app.entities.task_entities import (
+    AppStreamResponse,
     ChatbotAppBlockingResponse,
     ChatbotAppStreamResponse,
     ErrorStreamResponse,
@@ -51,10 +51,9 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
         return response
 
     @classmethod
-    def convert_stream_full_response(  # type: ignore[override]
-        cls,
-        stream_response: Generator[ChatbotAppStreamResponse, None, None],
-    ) -> Generator[str, None, None]:
+    def convert_stream_full_response(
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -80,13 +79,12 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(data)
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
 
     @classmethod
-    def convert_stream_simple_response(  # type: ignore[override]
-        cls,
-        stream_response: Generator[ChatbotAppStreamResponse, None, None],
-    ) -> Generator[str, None, None]:
+    def convert_stream_simple_response(
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response
@@ -118,4 +116,4 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 
-            yield json.dumps(response_chunk)
+            yield response_chunk
diff --git a/api/core/app/apps/base_app_generate_response_converter.py b/api/core/app/apps/base_app_generate_response_converter.py
index be4027132b..29c1ad598e 100644
--- a/api/core/app/apps/base_app_generate_response_converter.py
+++ b/api/core/app/apps/base_app_generate_response_converter.py
@@ -14,21 +14,15 @@ class AppGenerateResponseConverter(ABC):
 
     @classmethod
     def convert(
-        cls,
-        response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]],
-        invoke_from: InvokeFrom,
-    ) -> Mapping[str, Any] | Generator[str, None, None]:
+        cls, response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], invoke_from: InvokeFrom
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
         if invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.SERVICE_API}:
             if isinstance(response, AppBlockingResponse):
                 return cls.convert_blocking_full_response(response)
             else:
 
-                def _generate_full_response() -> Generator[str, Any, None]:
-                    for chunk in cls.convert_stream_full_response(response):
-                        if chunk == "ping":
-                            yield f"event: {chunk}\n\n"
-                        else:
-                            yield f"data: {chunk}\n\n"
+                def _generate_full_response() -> Generator[dict | str, Any, None]:
+                    yield from cls.convert_stream_full_response(response)
 
                 return _generate_full_response()
         else:
@@ -36,12 +30,8 @@ class AppGenerateResponseConverter(ABC):
                 return cls.convert_blocking_simple_response(response)
             else:
 
-                def _generate_simple_response() -> Generator[str, Any, None]:
-                    for chunk in cls.convert_stream_simple_response(response):
-                        if chunk == "ping":
-                            yield f"event: {chunk}\n\n"
-                        else:
-                            yield f"data: {chunk}\n\n"
+                def _generate_simple_response() -> Generator[dict | str, Any, None]:
+                    yield from cls.convert_stream_simple_response(response)
 
                 return _generate_simple_response()
 
@@ -59,14 +49,14 @@ class AppGenerateResponseConverter(ABC):
     @abstractmethod
     def convert_stream_full_response(
         cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[str, None, None]:
+    ) -> Generator[dict | str, None, None]:
         raise NotImplementedError
 
     @classmethod
     @abstractmethod
     def convert_stream_simple_response(
         cls, stream_response: Generator[AppStreamResponse, None, None]
-    ) -> Generator[str, None, None]:
+    ) -> Generator[dict | str, None, None]:
         raise NotImplementedError
 
     @classmethod
diff --git a/api/core/app/apps/base_app_generator.py b/api/core/app/apps/base_app_generator.py
index 85b7aced55..00159c858d 100644
--- a/api/core/app/apps/base_app_generator.py
+++ b/api/core/app/apps/base_app_generator.py
@@ -1,5 +1,6 @@
-from collections.abc import Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Optional
+import json
+from collections.abc import Generator, Mapping, Sequence
+from typing import TYPE_CHECKING, Any, Optional, Union
 
 from core.app.app_config.entities import VariableEntityType
 from core.file import File, FileUploadConfig
@@ -138,3 +139,21 @@ class BaseAppGenerator:
         if isinstance(value, str):
             return value.replace("\x00", "")
         return value
+
+    @classmethod
+    def convert_to_event_stream(cls, generator: Union[Mapping, Generator[Mapping | str, None, None]]):
+        """
+        Convert messages into event stream
+        """
+        if isinstance(generator, dict):
+            return generator
+        else:
+
+            def gen():
+                for message in generator:
+                    if isinstance(message, (Mapping, dict)):
+                        yield f"data: {json.dumps(message)}\n\n"
+                    else:
+                        yield f"event: {message}\n\n"
+
+            return gen()
diff --git a/api/core/app/apps/base_app_queue_manager.py b/api/core/app/apps/base_app_queue_manager.py
index ce2222a14e..0ba33fbe0d 100644
--- a/api/core/app/apps/base_app_queue_manager.py
+++ b/api/core/app/apps/base_app_queue_manager.py
@@ -2,7 +2,7 @@ import queue
 import time
 from abc import abstractmethod
 from enum import Enum
-from typing import Any
+from typing import Any, Optional
 
 from sqlalchemy.orm import DeclarativeMeta
 
@@ -115,7 +115,7 @@ class AppQueueManager:
         Set task stop flag
         :return:
         """
-        result = redis_client.get(cls._generate_task_belong_cache_key(task_id))
+        result: Optional[Any] = redis_client.get(cls._generate_task_belong_cache_key(task_id))
         if result is None:
             return
 
diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py
index 0f359f36d7..213fb79b7d 100644
--- a/api/core/app/apps/chat/app_generator.py
+++ b/api/core/app/apps/chat/app_generator.py
@@ -38,7 +38,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: Literal[True],
-    ) -> Generator[str, None, None]: ...
+    ) -> Generator[Mapping | str, None, None]: ...
 
     @overload
     def generate(
@@ -58,7 +58,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool,
-    ) -> Union[Mapping[str, Any], Generator[str, None, None]]: ...
+    ) -> Union[Mapping[str, Any], Generator[Mapping[str, Any] | str, None, None]]: ...
 
     def generate(
         self,
@@ -67,7 +67,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool = True,
-    ):
+    ) -> Union[Mapping[str, Any], Generator[Mapping[str, Any] | str, None, None]]:
         """
         Generate App response.
 
diff --git a/api/core/app/apps/chat/generate_response_converter.py b/api/core/app/apps/chat/generate_response_converter.py
index 9024c3a982..13a6be167c 100644
--- a/api/core/app/apps/chat/generate_response_converter.py
+++ b/api/core/app/apps/chat/generate_response_converter.py
@@ -1,9 +1,9 @@
-import json
 from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
 from core.app.entities.task_entities import (
+    AppStreamResponse,
     ChatbotAppBlockingResponse,
     ChatbotAppStreamResponse,
     ErrorStreamResponse,
@@ -52,9 +52,8 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls,
-        stream_response: Generator[ChatbotAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -80,13 +79,12 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(data)
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
 
     @classmethod
     def convert_stream_simple_response(
-        cls,
-        stream_response: Generator[ChatbotAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response
@@ -118,4 +116,4 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 
-            yield json.dumps(response_chunk)
+            yield response_chunk
diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py
index be50d496d2..ac9ad346eb 100644
--- a/api/core/app/apps/completion/app_generator.py
+++ b/api/core/app/apps/completion/app_generator.py
@@ -37,7 +37,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: Literal[True],
-    ) -> Generator[str, None, None]: ...
+    ) -> Generator[str | Mapping[str, Any], None, None]: ...
 
     @overload
     def generate(
@@ -56,8 +56,8 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         user: Union[Account, EndUser],
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
-        streaming: bool,
-    ) -> Mapping[str, Any] | Generator[str, None, None]: ...
+        streaming: bool = False,
+    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: ...
 
     def generate(
         self,
@@ -66,7 +66,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool = True,
-    ):
+    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
         """
         Generate App response.
 
@@ -231,7 +231,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
         user: Union[Account, EndUser],
         invoke_from: InvokeFrom,
         stream: bool = True,
-    ) -> Union[Mapping[str, Any], Generator[str, None, None]]:
+    ) -> Union[Mapping, Generator[Mapping | str, None, None]]:
         """
         Generate App response.
 
diff --git a/api/core/app/apps/completion/generate_response_converter.py b/api/core/app/apps/completion/generate_response_converter.py
index 73f38c3d0b..c2b78e8176 100644
--- a/api/core/app/apps/completion/generate_response_converter.py
+++ b/api/core/app/apps/completion/generate_response_converter.py
@@ -1,9 +1,9 @@
-import json
 from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
 from core.app.entities.task_entities import (
+    AppStreamResponse,
     CompletionAppBlockingResponse,
     CompletionAppStreamResponse,
     ErrorStreamResponse,
@@ -51,9 +51,8 @@ class CompletionAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls,
-        stream_response: Generator[CompletionAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -78,13 +77,12 @@ class CompletionAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(data)
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
 
     @classmethod
     def convert_stream_simple_response(
-        cls,
-        stream_response: Generator[CompletionAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response
@@ -115,4 +113,4 @@ class CompletionAppGenerateResponseConverter(AppGenerateResponseConverter):
             else:
                 response_chunk.update(sub_stream_response.to_dict())
 
-            yield json.dumps(response_chunk)
+            yield response_chunk
diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py
index 3e65fd56c8..f13cb53009 100644
--- a/api/core/app/apps/workflow/app_generator.py
+++ b/api/core/app/apps/workflow/app_generator.py
@@ -36,13 +36,13 @@ class WorkflowAppGenerator(BaseAppGenerator):
         *,
         app_model: App,
         workflow: Workflow,
-        user: Account | EndUser,
+        user: Union[Account, EndUser],
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: Literal[True],
-        call_depth: int = 0,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> Generator[str, None, None]: ...
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
+    ) -> Generator[Mapping | str, None, None]: ...
 
     @overload
     def generate(
@@ -50,12 +50,12 @@ class WorkflowAppGenerator(BaseAppGenerator):
         *,
         app_model: App,
         workflow: Workflow,
-        user: Account | EndUser,
+        user: Union[Account, EndUser],
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: Literal[False],
-        call_depth: int = 0,
-        workflow_thread_pool_id: Optional[str] = None,
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
     ) -> Mapping[str, Any]: ...
 
     @overload
@@ -64,26 +64,26 @@ class WorkflowAppGenerator(BaseAppGenerator):
         *,
         app_model: App,
         workflow: Workflow,
-        user: Account | EndUser,
+        user: Union[Account, EndUser],
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
-        streaming: bool = True,
-        call_depth: int = 0,
-        workflow_thread_pool_id: Optional[str] = None,
-    ) -> Mapping[str, Any] | Generator[str, None, None]: ...
+        streaming: bool,
+        call_depth: int,
+        workflow_thread_pool_id: Optional[str],
+    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
 
     def generate(
         self,
         *,
         app_model: App,
         workflow: Workflow,
-        user: Account | EndUser,
+        user: Union[Account, EndUser],
         args: Mapping[str, Any],
         invoke_from: InvokeFrom,
         streaming: bool = True,
         call_depth: int = 0,
         workflow_thread_pool_id: Optional[str] = None,
-    ):
+    ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]:
         files: Sequence[Mapping[str, Any]] = args.get("files") or []
 
         # parse files
@@ -124,7 +124,10 @@ class WorkflowAppGenerator(BaseAppGenerator):
             trace_manager=trace_manager,
             workflow_run_id=workflow_run_id,
         )
+
         contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
 
         return self._generate(
             app_model=app_model,
@@ -146,7 +149,18 @@ class WorkflowAppGenerator(BaseAppGenerator):
         invoke_from: InvokeFrom,
         streaming: bool = True,
         workflow_thread_pool_id: Optional[str] = None,
-    ) -> Mapping[str, Any] | Generator[str, None, None]:
+    ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
+        """
+        Generate App response.
+
+        :param app_model: App
+        :param workflow: Workflow
+        :param user: account or end user
+        :param application_generate_entity: application generate entity
+        :param invoke_from: invoke from source
+        :param stream: is stream
+        :param workflow_thread_pool_id: workflow thread pool id
+        """
         # init queue manager
         queue_manager = WorkflowAppQueueManager(
             task_id=application_generate_entity.task_id,
@@ -185,10 +199,10 @@ class WorkflowAppGenerator(BaseAppGenerator):
         app_model: App,
         workflow: Workflow,
         node_id: str,
-        user: Account,
+        user: Account | EndUser,
         args: Mapping[str, Any],
         streaming: bool = True,
-    ) -> Mapping[str, Any] | Generator[str, None, None]:
+    ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
         """
         Generate App response.
 
@@ -224,6 +238,8 @@ class WorkflowAppGenerator(BaseAppGenerator):
             workflow_run_id=str(uuid.uuid4()),
         )
         contexts.tenant_id.set(application_generate_entity.app_config.tenant_id)
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
 
         return self._generate(
             app_model=app_model,
diff --git a/api/core/app/apps/workflow/generate_response_converter.py b/api/core/app/apps/workflow/generate_response_converter.py
index 5cdac6ad28..10ec73a7d2 100644
--- a/api/core/app/apps/workflow/generate_response_converter.py
+++ b/api/core/app/apps/workflow/generate_response_converter.py
@@ -1,9 +1,9 @@
-import json
 from collections.abc import Generator
 from typing import cast
 
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
 from core.app.entities.task_entities import (
+    AppStreamResponse,
     ErrorStreamResponse,
     NodeFinishStreamResponse,
     NodeStartStreamResponse,
@@ -36,9 +36,8 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
 
     @classmethod
     def convert_stream_full_response(
-        cls,
-        stream_response: Generator[WorkflowAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream full response.
         :param stream_response: stream response
@@ -62,13 +61,12 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(data)
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
 
     @classmethod
     def convert_stream_simple_response(
-        cls,
-        stream_response: Generator[WorkflowAppStreamResponse, None, None],  # type: ignore[override]
-    ) -> Generator[str, None, None]:
+        cls, stream_response: Generator[AppStreamResponse, None, None]
+    ) -> Generator[dict | str, None, None]:
         """
         Convert stream simple response.
         :param stream_response: stream response
@@ -94,4 +92,4 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
                 response_chunk.update(sub_stream_response.to_ignore_detail_dict())
             else:
                 response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+            yield response_chunk
diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py
index f89f456916..9837cf9975 100644
--- a/api/core/app/apps/workflow/generate_task_pipeline.py
+++ b/api/core/app/apps/workflow/generate_task_pipeline.py
@@ -13,6 +13,7 @@ from core.app.entities.app_invoke_entities import (
     WorkflowAppGenerateEntity,
 )
 from core.app.entities.queue_entities import (
+    QueueAgentLogEvent,
     QueueErrorEvent,
     QueueIterationCompletedEvent,
     QueueIterationNextEvent,
@@ -190,7 +191,9 @@ class WorkflowAppGenerateTaskPipeline:
             and features_dict["text_to_speech"].get("enabled")
             and features_dict["text_to_speech"].get("autoPlay") == "enabled"
         ):
-            tts_publisher = AppGeneratorTTSPublisher(tenant_id, features_dict["text_to_speech"].get("voice"))
+            tts_publisher = AppGeneratorTTSPublisher(
+                tenant_id, features_dict["text_to_speech"].get("voice"), features_dict["text_to_speech"].get("language")
+            )
 
         for response in self._process_stream_response(tts_publisher=tts_publisher, trace_manager=trace_manager):
             while True:
@@ -527,6 +530,10 @@ class WorkflowAppGenerateTaskPipeline:
                 yield self._text_chunk_to_stream_response(
                     delta_text, from_variable_selector=event.from_variable_selector
                 )
+            elif isinstance(event, QueueAgentLogEvent):
+                yield self._workflow_cycle_manager._handle_agent_log(
+                    task_id=self._application_generate_entity.task_id, event=event
+                )
             else:
                 continue
 
diff --git a/api/core/app/apps/workflow_app_runner.py b/api/core/app/apps/workflow_app_runner.py
index 63f516bcc6..6d3b8a996b 100644
--- a/api/core/app/apps/workflow_app_runner.py
+++ b/api/core/app/apps/workflow_app_runner.py
@@ -5,6 +5,7 @@ from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.apps.base_app_runner import AppRunner
 from core.app.entities.queue_entities import (
     AppQueueEvent,
+    QueueAgentLogEvent,
     QueueIterationCompletedEvent,
     QueueIterationNextEvent,
     QueueIterationStartEvent,
@@ -27,6 +28,7 @@ from core.app.entities.queue_entities import (
 from core.workflow.entities.node_entities import NodeRunMetadataKey
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine.entities.event import (
+    AgentLogEvent,
     GraphEngineEvent,
     GraphRunFailedEvent,
     GraphRunPartialSucceededEvent,
@@ -239,6 +241,7 @@ class WorkflowBasedAppRunner(AppRunner):
                     predecessor_node_id=event.predecessor_node_id,
                     in_iteration_id=event.in_iteration_id,
                     parallel_mode_run_id=event.parallel_mode_run_id,
+                    agent_strategy=event.agent_strategy,
                 )
             )
         elif isinstance(event, NodeRunSucceededEvent):
@@ -373,6 +376,19 @@ class WorkflowBasedAppRunner(AppRunner):
                     retriever_resources=event.retriever_resources, in_iteration_id=event.in_iteration_id
                 )
             )
+        elif isinstance(event, AgentLogEvent):
+            self._publish_event(
+                QueueAgentLogEvent(
+                    id=event.id,
+                    label=event.label,
+                    node_execution_id=event.node_execution_id,
+                    parent_id=event.parent_id,
+                    error=event.error,
+                    status=event.status,
+                    data=event.data,
+                    metadata=event.metadata,
+                )
+            )
         elif isinstance(event, ParallelBranchRunStartedEvent):
             self._publish_event(
                 QueueParallelBranchRunStartedEvent(
diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py
index 7cb4e59032..df5da61927 100644
--- a/api/core/app/entities/app_invoke_entities.py
+++ b/api/core/app/entities/app_invoke_entities.py
@@ -183,7 +183,7 @@ class AdvancedChatAppGenerateEntity(ConversationAppGenerateEntity):
         """
 
         node_id: str
-        inputs: dict
+        inputs: Mapping
 
     single_iteration_run: Optional[SingleIterationRunEntity] = None
 
diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py
index a93e533ff4..f1cc3ac221 100644
--- a/api/core/app/entities/queue_entities.py
+++ b/api/core/app/entities/queue_entities.py
@@ -6,7 +6,7 @@ from typing import Any, Optional
 from pydantic import BaseModel
 
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
-from core.workflow.entities.node_entities import NodeRunMetadataKey
+from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey
 from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.nodes import NodeType
 from core.workflow.nodes.base import BaseNodeData
@@ -41,6 +41,7 @@ class QueueEvent(StrEnum):
     PARALLEL_BRANCH_RUN_STARTED = "parallel_branch_run_started"
     PARALLEL_BRANCH_RUN_SUCCEEDED = "parallel_branch_run_succeeded"
     PARALLEL_BRANCH_RUN_FAILED = "parallel_branch_run_failed"
+    AGENT_LOG = "agent_log"
     ERROR = "error"
     PING = "ping"
     STOP = "stop"
@@ -280,6 +281,7 @@ class QueueNodeStartedEvent(AppQueueEvent):
     start_at: datetime
     parallel_mode_run_id: Optional[str] = None
     """iteratoin run in parallel mode run id"""
+    agent_strategy: Optional[AgentNodeStrategyInit] = None
 
 
 class QueueNodeSucceededEvent(AppQueueEvent):
@@ -315,6 +317,22 @@ class QueueNodeSucceededEvent(AppQueueEvent):
     iteration_duration_map: Optional[dict[str, float]] = None
 
 
+class QueueAgentLogEvent(AppQueueEvent):
+    """
+    QueueAgentLogEvent entity
+    """
+
+    event: QueueEvent = QueueEvent.AGENT_LOG
+    id: str
+    label: str
+    node_execution_id: str
+    parent_id: str | None
+    error: str | None
+    status: str
+    data: Mapping[str, Any]
+    metadata: Optional[Mapping[str, Any]] = None
+
+
 class QueueNodeRetryEvent(QueueNodeStartedEvent):
     """QueueNodeRetryEvent entity"""
 
diff --git a/api/core/app/entities/task_entities.py b/api/core/app/entities/task_entities.py
index 5e845eba2d..e64bd416e0 100644
--- a/api/core/app/entities/task_entities.py
+++ b/api/core/app/entities/task_entities.py
@@ -6,6 +6,7 @@ from pydantic import BaseModel, ConfigDict
 
 from core.model_runtime.entities.llm_entities import LLMResult
 from core.model_runtime.utils.encoders import jsonable_encoder
+from core.workflow.entities.node_entities import AgentNodeStrategyInit
 from models.workflow import WorkflowNodeExecutionStatus
 
 
@@ -60,6 +61,7 @@ class StreamEvent(Enum):
     ITERATION_COMPLETED = "iteration_completed"
     TEXT_CHUNK = "text_chunk"
     TEXT_REPLACE = "text_replace"
+    AGENT_LOG = "agent_log"
 
 
 class StreamResponse(BaseModel):
@@ -247,6 +249,7 @@ class NodeStartStreamResponse(StreamResponse):
         parent_parallel_start_node_id: Optional[str] = None
         iteration_id: Optional[str] = None
         parallel_run_id: Optional[str] = None
+        agent_strategy: Optional[AgentNodeStrategyInit] = None
 
     event: StreamEvent = StreamEvent.NODE_STARTED
     workflow_run_id: str
@@ -696,3 +699,26 @@ class WorkflowAppBlockingResponse(AppBlockingResponse):
 
     workflow_run_id: str
     data: Data
+
+
+class AgentLogStreamResponse(StreamResponse):
+    """
+    AgentLogStreamResponse entity
+    """
+
+    class Data(BaseModel):
+        """
+        Data entity
+        """
+
+        node_execution_id: str
+        id: str
+        label: str
+        parent_id: str | None
+        error: str | None
+        status: str
+        data: Mapping[str, Any]
+        metadata: Optional[Mapping[str, Any]] = None
+
+    event: StreamEvent = StreamEvent.AGENT_LOG
+    data: Data
diff --git a/api/core/app/features/hosting_moderation/hosting_moderation.py b/api/core/app/features/hosting_moderation/hosting_moderation.py
index ba14b61201..a5a5486581 100644
--- a/api/core/app/features/hosting_moderation/hosting_moderation.py
+++ b/api/core/app/features/hosting_moderation/hosting_moderation.py
@@ -24,6 +24,8 @@ class HostingModerationFeature:
             if isinstance(prompt_message.content, str):
                 text += prompt_message.content + "\n"
 
-        moderation_result = moderation.check_moderation(model_config, text)
+        moderation_result = moderation.check_moderation(
+            tenant_id=application_generate_entity.app_config.tenant_id, model_config=model_config, text=text
+        )
 
         return moderation_result
diff --git a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py
index c84f8ba3e4..8c9c26d36e 100644
--- a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py
+++ b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py
@@ -215,7 +215,9 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
             and text_to_speech_dict.get("autoPlay") == "enabled"
             and text_to_speech_dict.get("enabled")
         ):
-            publisher = AppGeneratorTTSPublisher(tenant_id, text_to_speech_dict.get("voice", None))
+            publisher = AppGeneratorTTSPublisher(
+                tenant_id, text_to_speech_dict.get("voice", None), text_to_speech_dict.get("language", None)
+            )
         for response in self._process_stream_response(publisher=publisher, trace_manager=trace_manager):
             while True:
                 audio_response = self._listen_audio_msg(publisher, task_id)
diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py
index ad29201df3..4710bc3221 100644
--- a/api/core/app/task_pipeline/workflow_cycle_manage.py
+++ b/api/core/app/task_pipeline/workflow_cycle_manage.py
@@ -10,6 +10,7 @@ from sqlalchemy.orm import Session
 
 from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom, WorkflowAppGenerateEntity
 from core.app.entities.queue_entities import (
+    QueueAgentLogEvent,
     QueueIterationCompletedEvent,
     QueueIterationNextEvent,
     QueueIterationStartEvent,
@@ -24,6 +25,7 @@ from core.app.entities.queue_entities import (
     QueueParallelBranchRunSucceededEvent,
 )
 from core.app.entities.task_entities import (
+    AgentLogStreamResponse,
     IterationNodeCompletedStreamResponse,
     IterationNodeNextStreamResponse,
     IterationNodeStartStreamResponse,
@@ -320,9 +322,8 @@ class WorkflowCycleManage:
         inputs = WorkflowEntry.handle_special_values(event.inputs)
         process_data = WorkflowEntry.handle_special_values(event.process_data)
         outputs = WorkflowEntry.handle_special_values(event.outputs)
-        execution_metadata = (
-            json.dumps(jsonable_encoder(event.execution_metadata)) if event.execution_metadata else None
-        )
+        execution_metadata_dict = dict(event.execution_metadata or {})
+        execution_metadata = json.dumps(jsonable_encoder(execution_metadata_dict)) if execution_metadata_dict else None
         finished_at = datetime.now(UTC).replace(tzinfo=None)
         elapsed_time = (finished_at - event.start_at).total_seconds()
 
@@ -540,6 +541,7 @@ class WorkflowCycleManage:
                 parent_parallel_start_node_id=event.parent_parallel_start_node_id,
                 iteration_id=event.in_iteration_id,
                 parallel_run_id=event.parallel_mode_run_id,
+                agent_strategy=event.agent_strategy,
             ),
         )
 
@@ -843,3 +845,24 @@ class WorkflowCycleManage:
             raise ValueError(f"Workflow node execution not found: {node_execution_id}")
         cached_workflow_node_execution = self._workflow_node_executions[node_execution_id]
         return session.merge(cached_workflow_node_execution)
+
+    def _handle_agent_log(self, task_id: str, event: QueueAgentLogEvent) -> AgentLogStreamResponse:
+        """
+        Handle agent log
+        :param task_id: task id
+        :param event: agent log event
+        :return:
+        """
+        return AgentLogStreamResponse(
+            task_id=task_id,
+            data=AgentLogStreamResponse.Data(
+                node_execution_id=event.node_execution_id,
+                id=event.id,
+                parent_id=event.parent_id,
+                label=event.label,
+                error=event.error,
+                status=event.status,
+                data=event.data,
+                metadata=event.metadata,
+            ),
+        )
diff --git a/api/core/callback_handler/agent_tool_callback_handler.py b/api/core/callback_handler/agent_tool_callback_handler.py
index effc7eff91..65d899a002 100644
--- a/api/core/callback_handler/agent_tool_callback_handler.py
+++ b/api/core/callback_handler/agent_tool_callback_handler.py
@@ -1,4 +1,4 @@
-from collections.abc import Mapping, Sequence
+from collections.abc import Iterable, Mapping
 from typing import Any, Optional, TextIO, Union
 
 from pydantic import BaseModel
@@ -57,7 +57,7 @@ class DifyAgentCallbackHandler(BaseModel):
         self,
         tool_name: str,
         tool_inputs: Mapping[str, Any],
-        tool_outputs: Sequence[ToolInvokeMessage] | str,
+        tool_outputs: Iterable[ToolInvokeMessage] | str,
         message_id: Optional[str] = None,
         timer: Optional[Any] = None,
         trace_manager: Optional[TraceQueueManager] = None,
diff --git a/api/core/callback_handler/workflow_tool_callback_handler.py b/api/core/callback_handler/workflow_tool_callback_handler.py
index 8ac12f72f2..350b18772b 100644
--- a/api/core/callback_handler/workflow_tool_callback_handler.py
+++ b/api/core/callback_handler/workflow_tool_callback_handler.py
@@ -1,5 +1,26 @@
-from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler
+from collections.abc import Generator, Iterable, Mapping
+from typing import Any, Optional
+
+from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler, print_text
+from core.ops.ops_trace_manager import TraceQueueManager
+from core.tools.entities.tool_entities import ToolInvokeMessage
 
 
 class DifyWorkflowCallbackHandler(DifyAgentCallbackHandler):
     """Callback Handler that prints to std out."""
+
+    def on_tool_execution(
+        self,
+        tool_name: str,
+        tool_inputs: Mapping[str, Any],
+        tool_outputs: Iterable[ToolInvokeMessage],
+        message_id: Optional[str] = None,
+        timer: Optional[Any] = None,
+        trace_manager: Optional[TraceQueueManager] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        for tool_output in tool_outputs:
+            print_text("\n[on_tool_execution]\n", color=self.color)
+            print_text("Tool: " + tool_name + "\n", color=self.color)
+            print_text("Outputs: " + tool_output.model_dump_json()[:1000] + "\n", color=self.color)
+            print_text("\n")
+            yield tool_output
diff --git a/api/core/entities/__init__.py b/api/core/entities/__init__.py
index e69de29bb2..b848da3664 100644
--- a/api/core/entities/__init__.py
+++ b/api/core/entities/__init__.py
@@ -0,0 +1 @@
+DEFAULT_PLUGIN_ID = "langgenius"
diff --git a/api/core/entities/parameter_entities.py b/api/core/entities/parameter_entities.py
new file mode 100644
index 0000000000..36800bc263
--- /dev/null
+++ b/api/core/entities/parameter_entities.py
@@ -0,0 +1,42 @@
+from enum import StrEnum
+
+
+class CommonParameterType(StrEnum):
+    SECRET_INPUT = "secret-input"
+    TEXT_INPUT = "text-input"
+    SELECT = "select"
+    STRING = "string"
+    NUMBER = "number"
+    FILE = "file"
+    FILES = "files"
+    SYSTEM_FILES = "system-files"
+    BOOLEAN = "boolean"
+    APP_SELECTOR = "app-selector"
+    MODEL_SELECTOR = "model-selector"
+    TOOLS_SELECTOR = "array[tools]"
+
+    # TOOL_SELECTOR = "tool-selector"
+
+
+class AppSelectorScope(StrEnum):
+    ALL = "all"
+    CHAT = "chat"
+    WORKFLOW = "workflow"
+    COMPLETION = "completion"
+
+
+class ModelSelectorScope(StrEnum):
+    LLM = "llm"
+    TEXT_EMBEDDING = "text-embedding"
+    RERANK = "rerank"
+    TTS = "tts"
+    SPEECH2TEXT = "speech2text"
+    MODERATION = "moderation"
+    VISION = "vision"
+
+
+class ToolSelectorScope(StrEnum):
+    ALL = "all"
+    CUSTOM = "custom"
+    BUILTIN = "builtin"
+    WORKFLOW = "workflow"
diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py
index bff5a0ec9c..6ed065d925 100644
--- a/api/core/entities/provider_configuration.py
+++ b/api/core/entities/provider_configuration.py
@@ -2,13 +2,14 @@ import datetime
 import json
 import logging
 from collections import defaultdict
-from collections.abc import Iterator
+from collections.abc import Iterator, Sequence
 from json import JSONDecodeError
 from typing import Optional
 
 from pydantic import BaseModel, ConfigDict
 
 from constants import HIDDEN_VALUE
+from core.entities import DEFAULT_PLUGIN_ID
 from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, SimpleModelProviderEntity
 from core.entities.provider_entities import (
     CustomConfiguration,
@@ -18,16 +19,15 @@ from core.entities.provider_entities import (
 )
 from core.helper import encrypter
 from core.helper.model_provider_cache import ProviderCredentialsCache, ProviderCredentialsCacheType
-from core.model_runtime.entities.model_entities import FetchFrom, ModelType
+from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
 from core.model_runtime.entities.provider_entities import (
     ConfigurateMethod,
     CredentialFormSchema,
     FormType,
     ProviderEntity,
 )
-from core.model_runtime.model_providers import model_provider_factory
 from core.model_runtime.model_providers.__base.ai_model import AIModel
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
 from extensions.ext_database import db
 from models.provider import (
     LoadBalancingModelConfig,
@@ -99,9 +99,10 @@ class ProviderConfiguration(BaseModel):
                     continue
 
                 restrict_models = quota_configuration.restrict_models
-            if self.system_configuration.credentials is None:
-                return None
-            copy_credentials = self.system_configuration.credentials.copy()
+
+            copy_credentials = (
+                self.system_configuration.credentials.copy() if self.system_configuration.credentials else {}
+            )
             if restrict_models:
                 for restrict_model in restrict_models:
                     if (
@@ -140,6 +141,9 @@ class ProviderConfiguration(BaseModel):
         if current_quota_configuration is None:
             return None
 
+        if not current_quota_configuration:
+            return SystemConfigurationStatus.UNSUPPORTED
+
         return (
             SystemConfigurationStatus.ACTIVE
             if current_quota_configuration.is_valid
@@ -153,7 +157,7 @@ class ProviderConfiguration(BaseModel):
         """
         return self.custom_configuration.provider is not None or len(self.custom_configuration.models) > 0
 
-    def get_custom_credentials(self, obfuscated: bool = False):
+    def get_custom_credentials(self, obfuscated: bool = False) -> dict | None:
         """
         Get custom credentials.
 
@@ -175,7 +179,7 @@ class ProviderConfiguration(BaseModel):
             else [],
         )
 
-    def custom_credentials_validate(self, credentials: dict) -> tuple[Optional[Provider], dict]:
+    def custom_credentials_validate(self, credentials: dict) -> tuple[Provider | None, dict]:
         """
         Validate custom credentials.
         :param credentials: provider credentials
@@ -219,6 +223,7 @@ class ProviderConfiguration(BaseModel):
                     if value == HIDDEN_VALUE and key in original_credentials:
                         credentials[key] = encrypter.decrypt_token(self.tenant_id, original_credentials[key])
 
+        model_provider_factory = ModelProviderFactory(self.tenant_id)
         credentials = model_provider_factory.provider_credentials_validate(
             provider=self.provider.provider, credentials=credentials
         )
@@ -246,13 +251,13 @@ class ProviderConfiguration(BaseModel):
             provider_record.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            provider_record = Provider(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                provider_type=ProviderType.CUSTOM.value,
-                encrypted_config=json.dumps(credentials),
-                is_valid=True,
-            )
+            provider_record = Provider()
+            provider_record.tenant_id = self.tenant_id
+            provider_record.provider_name = self.provider.provider
+            provider_record.provider_type = ProviderType.CUSTOM.value
+            provider_record.encrypted_config = json.dumps(credentials)
+            provider_record.is_valid = True
+
             db.session.add(provider_record)
             db.session.commit()
 
@@ -327,7 +332,7 @@ class ProviderConfiguration(BaseModel):
 
     def custom_model_credentials_validate(
         self, model_type: ModelType, model: str, credentials: dict
-    ) -> tuple[Optional[ProviderModel], dict]:
+    ) -> tuple[ProviderModel | None, dict]:
         """
         Validate custom model credentials.
 
@@ -370,6 +375,7 @@ class ProviderConfiguration(BaseModel):
                     if value == HIDDEN_VALUE and key in original_credentials:
                         credentials[key] = encrypter.decrypt_token(self.tenant_id, original_credentials[key])
 
+        model_provider_factory = ModelProviderFactory(self.tenant_id)
         credentials = model_provider_factory.model_credentials_validate(
             provider=self.provider.provider, model_type=model_type, model=model, credentials=credentials
         )
@@ -400,14 +406,13 @@ class ProviderConfiguration(BaseModel):
             provider_model_record.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            provider_model_record = ProviderModel(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                model_name=model,
-                model_type=model_type.to_origin_model_type(),
-                encrypted_config=json.dumps(credentials),
-                is_valid=True,
-            )
+            provider_model_record = ProviderModel()
+            provider_model_record.tenant_id = self.tenant_id
+            provider_model_record.provider_name = self.provider.provider
+            provider_model_record.model_name = model
+            provider_model_record.model_type = model_type.to_origin_model_type()
+            provider_model_record.encrypted_config = json.dumps(credentials)
+            provider_model_record.is_valid = True
             db.session.add(provider_model_record)
             db.session.commit()
 
@@ -474,13 +479,12 @@ class ProviderConfiguration(BaseModel):
             model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            model_setting = ProviderModelSetting(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                model_type=model_type.to_origin_model_type(),
-                model_name=model,
-                enabled=True,
-            )
+            model_setting = ProviderModelSetting()
+            model_setting.tenant_id = self.tenant_id
+            model_setting.provider_name = self.provider.provider
+            model_setting.model_type = model_type.to_origin_model_type()
+            model_setting.model_name = model
+            model_setting.enabled = True
             db.session.add(model_setting)
             db.session.commit()
 
@@ -509,13 +513,12 @@ class ProviderConfiguration(BaseModel):
             model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            model_setting = ProviderModelSetting(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                model_type=model_type.to_origin_model_type(),
-                model_name=model,
-                enabled=False,
-            )
+            model_setting = ProviderModelSetting()
+            model_setting.tenant_id = self.tenant_id
+            model_setting.provider_name = self.provider.provider
+            model_setting.model_type = model_type.to_origin_model_type()
+            model_setting.model_name = model
+            model_setting.enabled = False
             db.session.add(model_setting)
             db.session.commit()
 
@@ -576,13 +579,12 @@ class ProviderConfiguration(BaseModel):
             model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            model_setting = ProviderModelSetting(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                model_type=model_type.to_origin_model_type(),
-                model_name=model,
-                load_balancing_enabled=True,
-            )
+            model_setting = ProviderModelSetting()
+            model_setting.tenant_id = self.tenant_id
+            model_setting.provider_name = self.provider.provider
+            model_setting.model_type = model_type.to_origin_model_type()
+            model_setting.model_name = model
+            model_setting.load_balancing_enabled = True
             db.session.add(model_setting)
             db.session.commit()
 
@@ -611,25 +613,17 @@ class ProviderConfiguration(BaseModel):
             model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None)
             db.session.commit()
         else:
-            model_setting = ProviderModelSetting(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                model_type=model_type.to_origin_model_type(),
-                model_name=model,
-                load_balancing_enabled=False,
-            )
+            model_setting = ProviderModelSetting()
+            model_setting.tenant_id = self.tenant_id
+            model_setting.provider_name = self.provider.provider
+            model_setting.model_type = model_type.to_origin_model_type()
+            model_setting.model_name = model
+            model_setting.load_balancing_enabled = False
             db.session.add(model_setting)
             db.session.commit()
 
         return model_setting
 
-    def get_provider_instance(self) -> ModelProvider:
-        """
-        Get provider instance.
-        :return:
-        """
-        return model_provider_factory.get_provider_instance(self.provider.provider)
-
     def get_model_type_instance(self, model_type: ModelType) -> AIModel:
         """
         Get current model type instance.
@@ -637,11 +631,19 @@ class ProviderConfiguration(BaseModel):
         :param model_type: model type
         :return:
         """
-        # Get provider instance
-        provider_instance = self.get_provider_instance()
+        model_provider_factory = ModelProviderFactory(self.tenant_id)
 
         # Get model instance of LLM
-        return provider_instance.get_model_instance(model_type)
+        return model_provider_factory.get_model_type_instance(provider=self.provider.provider, model_type=model_type)
+
+    def get_model_schema(self, model_type: ModelType, model: str, credentials: dict) -> AIModelEntity | None:
+        """
+        Get model schema
+        """
+        model_provider_factory = ModelProviderFactory(self.tenant_id)
+        return model_provider_factory.get_model_schema(
+            provider=self.provider.provider, model_type=model_type, model=model, credentials=credentials
+        )
 
     def switch_preferred_provider_type(self, provider_type: ProviderType) -> None:
         """
@@ -668,11 +670,10 @@ class ProviderConfiguration(BaseModel):
         if preferred_model_provider:
             preferred_model_provider.preferred_provider_type = provider_type.value
         else:
-            preferred_model_provider = TenantPreferredModelProvider(
-                tenant_id=self.tenant_id,
-                provider_name=self.provider.provider,
-                preferred_provider_type=provider_type.value,
-            )
+            preferred_model_provider = TenantPreferredModelProvider()
+            preferred_model_provider.tenant_id = self.tenant_id
+            preferred_model_provider.provider_name = self.provider.provider
+            preferred_model_provider.preferred_provider_type = provider_type.value
             db.session.add(preferred_model_provider)
 
         db.session.commit()
@@ -737,13 +738,14 @@ class ProviderConfiguration(BaseModel):
         :param only_active: only active models
         :return:
         """
-        provider_instance = self.get_provider_instance()
+        model_provider_factory = ModelProviderFactory(self.tenant_id)
+        provider_schema = model_provider_factory.get_provider_schema(self.provider.provider)
 
-        model_types = []
+        model_types: list[ModelType] = []
         if model_type:
             model_types.append(model_type)
         else:
-            model_types = list(provider_instance.get_provider_schema().supported_model_types)
+            model_types = list(provider_schema.supported_model_types)
 
         # Group model settings by model type and model
         model_setting_map: defaultdict[ModelType, dict[str, ModelSettings]] = defaultdict(dict)
@@ -752,11 +754,11 @@ class ProviderConfiguration(BaseModel):
 
         if self.using_provider_type == ProviderType.SYSTEM:
             provider_models = self._get_system_provider_models(
-                model_types=model_types, provider_instance=provider_instance, model_setting_map=model_setting_map
+                model_types=model_types, provider_schema=provider_schema, model_setting_map=model_setting_map
             )
         else:
             provider_models = self._get_custom_provider_models(
-                model_types=model_types, provider_instance=provider_instance, model_setting_map=model_setting_map
+                model_types=model_types, provider_schema=provider_schema, model_setting_map=model_setting_map
             )
 
         if only_active:
@@ -767,23 +769,26 @@ class ProviderConfiguration(BaseModel):
 
     def _get_system_provider_models(
         self,
-        model_types: list[ModelType],
-        provider_instance: ModelProvider,
+        model_types: Sequence[ModelType],
+        provider_schema: ProviderEntity,
         model_setting_map: dict[ModelType, dict[str, ModelSettings]],
     ) -> list[ModelWithProviderEntity]:
         """
         Get system provider models.
 
         :param model_types: model types
-        :param provider_instance: provider instance
+        :param provider_schema: provider schema
         :param model_setting_map: model setting map
         :return:
         """
         provider_models = []
         for model_type in model_types:
-            for m in provider_instance.models(model_type):
+            for m in provider_schema.models:
+                if m.model_type != model_type:
+                    continue
+
                 status = ModelStatus.ACTIVE
-                if m.model_type in model_setting_map and m.model in model_setting_map[m.model_type]:
+                if m.model in model_setting_map:
                     model_setting = model_setting_map[m.model_type][m.model]
                     if model_setting.enabled is False:
                         status = ModelStatus.DISABLED
@@ -804,7 +809,7 @@ class ProviderConfiguration(BaseModel):
 
         if self.provider.provider not in original_provider_configurate_methods:
             original_provider_configurate_methods[self.provider.provider] = []
-            for configurate_method in provider_instance.get_provider_schema().configurate_methods:
+            for configurate_method in provider_schema.configurate_methods:
                 original_provider_configurate_methods[self.provider.provider].append(configurate_method)
 
         should_use_custom_model = False
@@ -825,18 +830,22 @@ class ProviderConfiguration(BaseModel):
                 ]:
                     # only customizable model
                     for restrict_model in restrict_models:
-                        if self.system_configuration.credentials is not None:
-                            copy_credentials = self.system_configuration.credentials.copy()
-                            if restrict_model.base_model_name:
-                                copy_credentials["base_model_name"] = restrict_model.base_model_name
+                        copy_credentials = (
+                            self.system_configuration.credentials.copy()
+                            if self.system_configuration.credentials
+                            else {}
+                        )
+                        if restrict_model.base_model_name:
+                            copy_credentials["base_model_name"] = restrict_model.base_model_name
 
-                            try:
-                                custom_model_schema = provider_instance.get_model_instance(
-                                    restrict_model.model_type
-                                ).get_customizable_model_schema_from_credentials(restrict_model.model, copy_credentials)
-                            except Exception as ex:
-                                logger.warning(f"get custom model schema failed, {ex}")
-                                continue
+                        try:
+                            custom_model_schema = self.get_model_schema(
+                                model_type=restrict_model.model_type,
+                                model=restrict_model.model,
+                                credentials=copy_credentials,
+                            )
+                        except Exception as ex:
+                            logger.warning(f"get custom model schema failed, {ex}")
 
                             if not custom_model_schema:
                                 continue
@@ -881,15 +890,15 @@ class ProviderConfiguration(BaseModel):
 
     def _get_custom_provider_models(
         self,
-        model_types: list[ModelType],
-        provider_instance: ModelProvider,
+        model_types: Sequence[ModelType],
+        provider_schema: ProviderEntity,
         model_setting_map: dict[ModelType, dict[str, ModelSettings]],
     ) -> list[ModelWithProviderEntity]:
         """
         Get custom provider models.
 
         :param model_types: model types
-        :param provider_instance: provider instance
+        :param provider_schema: provider schema
         :param model_setting_map: model setting map
         :return:
         """
@@ -903,8 +912,10 @@ class ProviderConfiguration(BaseModel):
             if model_type not in self.provider.supported_model_types:
                 continue
 
-            models = provider_instance.models(model_type)
-            for m in models:
+            for m in provider_schema.models:
+                if m.model_type != model_type:
+                    continue
+
                 status = ModelStatus.ACTIVE if credentials else ModelStatus.NO_CONFIGURE
                 load_balancing_enabled = False
                 if m.model_type in model_setting_map and m.model in model_setting_map[m.model_type]:
@@ -936,10 +947,10 @@ class ProviderConfiguration(BaseModel):
                 continue
 
             try:
-                custom_model_schema = provider_instance.get_model_instance(
-                    model_configuration.model_type
-                ).get_customizable_model_schema_from_credentials(
-                    model_configuration.model, model_configuration.credentials
+                custom_model_schema = self.get_model_schema(
+                    model_type=model_configuration.model_type,
+                    model=model_configuration.model,
+                    credentials=model_configuration.credentials,
                 )
             except Exception as ex:
                 logger.warning(f"get custom model schema failed, {ex}")
@@ -967,7 +978,7 @@ class ProviderConfiguration(BaseModel):
                     label=custom_model_schema.label,
                     model_type=custom_model_schema.model_type,
                     features=custom_model_schema.features,
-                    fetch_from=custom_model_schema.fetch_from,
+                    fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
                     model_properties=custom_model_schema.model_properties,
                     deprecated=custom_model_schema.deprecated,
                     provider=SimpleModelProviderEntity(self.provider),
@@ -1040,6 +1051,9 @@ class ProviderConfigurations(BaseModel):
         return list(self.values())
 
     def __getitem__(self, key):
+        if "/" not in key:
+            key = f"{DEFAULT_PLUGIN_ID}/{key}/{key}"
+
         return self.configurations[key]
 
     def __setitem__(self, key, value):
@@ -1051,8 +1065,11 @@ class ProviderConfigurations(BaseModel):
     def values(self) -> Iterator[ProviderConfiguration]:
         return iter(self.configurations.values())
 
-    def get(self, key, default=None):
-        return self.configurations.get(key, default)
+    def get(self, key, default=None) -> ProviderConfiguration | None:
+        if "/" not in key:
+            key = f"{DEFAULT_PLUGIN_ID}/{key}/{key}"
+
+        return self.configurations.get(key, default)  # type: ignore
 
 
 class ProviderModelBundle(BaseModel):
@@ -1061,7 +1078,6 @@ class ProviderModelBundle(BaseModel):
     """
 
     configuration: ProviderConfiguration
-    provider_instance: ModelProvider
     model_type_instance: AIModel
 
     # pydantic configs
diff --git a/api/core/entities/provider_entities.py b/api/core/entities/provider_entities.py
index 44725623dc..e04e2a42fd 100644
--- a/api/core/entities/provider_entities.py
+++ b/api/core/entities/provider_entities.py
@@ -1,10 +1,34 @@
 from enum import Enum
-from typing import Optional
+from typing import Optional, Union
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, Field
 
+from core.entities.parameter_entities import (
+    AppSelectorScope,
+    CommonParameterType,
+    ModelSelectorScope,
+    ToolSelectorScope,
+)
 from core.model_runtime.entities.model_entities import ModelType
-from models.provider import ProviderQuotaType
+from core.tools.entities.common_entities import I18nObject
+
+
+class ProviderQuotaType(Enum):
+    PAID = "paid"
+    """hosted paid quota"""
+
+    FREE = "free"
+    """third-party free quota"""
+
+    TRIAL = "trial"
+    """hosted trial quota"""
+
+    @staticmethod
+    def value_of(value):
+        for member in ProviderQuotaType:
+            if member.value == value:
+                return member
+        raise ValueError(f"No matching enum found for value '{value}'")
 
 
 class QuotaUnit(Enum):
@@ -108,3 +132,55 @@ class ModelSettings(BaseModel):
 
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
+
+
+class BasicProviderConfig(BaseModel):
+    """
+    Base model class for common provider settings like credentials
+    """
+
+    class Type(Enum):
+        SECRET_INPUT = CommonParameterType.SECRET_INPUT.value
+        TEXT_INPUT = CommonParameterType.TEXT_INPUT.value
+        SELECT = CommonParameterType.SELECT.value
+        BOOLEAN = CommonParameterType.BOOLEAN.value
+        APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
+        MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
+
+        @classmethod
+        def value_of(cls, value: str) -> "ProviderConfig.Type":
+            """
+            Get value of given mode.
+
+            :param value: mode value
+            :return: mode
+            """
+            for mode in cls:
+                if mode.value == value:
+                    return mode
+            raise ValueError(f"invalid mode value {value}")
+
+    type: Type = Field(..., description="The type of the credentials")
+    name: str = Field(..., description="The name of the credentials")
+
+
+class ProviderConfig(BasicProviderConfig):
+    """
+    Model class for common provider settings like credentials
+    """
+
+    class Option(BaseModel):
+        value: str = Field(..., description="The value of the option")
+        label: I18nObject = Field(..., description="The label of the option")
+
+    scope: AppSelectorScope | ModelSelectorScope | ToolSelectorScope | None = None
+    required: bool = False
+    default: Optional[Union[int, str]] = None
+    options: Optional[list[Option]] = None
+    label: Optional[I18nObject] = None
+    help: Optional[I18nObject] = None
+    url: Optional[str] = None
+    placeholder: Optional[I18nObject] = None
+
+    def to_basic_provider_config(self) -> BasicProviderConfig:
+        return BasicProviderConfig(type=self.type, name=self.name)
diff --git a/api/core/file/helpers.py b/api/core/file/helpers.py
index 12123cf3f7..73fabdb11b 100644
--- a/api/core/file/helpers.py
+++ b/api/core/file/helpers.py
@@ -20,6 +20,41 @@ def get_signed_file_url(upload_file_id: str) -> str:
     return f"{url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}"
 
 
+def get_signed_file_url_for_plugin(filename: str, mimetype: str, tenant_id: str, user_id: str) -> str:
+    url = f"{dify_config.FILES_URL}/files/upload/for-plugin"
+
+    if user_id is None:
+        user_id = "DEFAULT-USER"
+
+    timestamp = str(int(time.time()))
+    nonce = os.urandom(16).hex()
+    key = dify_config.SECRET_KEY.encode()
+    msg = f"upload|{filename}|{mimetype}|{tenant_id}|{user_id}|{timestamp}|{nonce}"
+    sign = hmac.new(key, msg.encode(), hashlib.sha256).digest()
+    encoded_sign = base64.urlsafe_b64encode(sign).decode()
+
+    return f"{url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}&user_id={user_id}&tenant_id={tenant_id}"
+
+
+def verify_plugin_file_signature(
+    *, filename: str, mimetype: str, tenant_id: str, user_id: str | None, timestamp: str, nonce: str, sign: str
+) -> bool:
+    if user_id is None:
+        user_id = "DEFAULT-USER"
+
+    data_to_sign = f"upload|{filename}|{mimetype}|{tenant_id}|{user_id}|{timestamp}|{nonce}"
+    secret_key = dify_config.SECRET_KEY.encode()
+    recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
+    recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode()
+
+    # verify signature
+    if sign != recalculated_encoded_sign:
+        return False
+
+    current_time = int(time.time())
+    return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT
+
+
 def verify_image_signature(*, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
     data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}"
     secret_key = dify_config.SECRET_KEY.encode()
diff --git a/api/core/file/models.py b/api/core/file/models.py
index 0de0089430..2f0026a203 100644
--- a/api/core/file/models.py
+++ b/api/core/file/models.py
@@ -1,5 +1,5 @@
 from collections.abc import Mapping, Sequence
-from typing import Optional
+from typing import Any, Optional
 
 from pydantic import BaseModel, Field, model_validator
 
@@ -124,6 +124,17 @@ class File(BaseModel):
                     tool_file_id=self.related_id, extension=self.extension
                 )
 
+    def to_plugin_parameter(self) -> dict[str, Any]:
+        return {
+            "dify_model_identity": FILE_MODEL_IDENTITY,
+            "mime_type": self.mime_type,
+            "filename": self.filename,
+            "extension": self.extension,
+            "size": self.size,
+            "type": self.type,
+            "url": self.generate_url(),
+        }
+
     @model_validator(mode="after")
     def validate_after(self):
         match self.transfer_method:
diff --git a/api/core/file/upload_file_parser.py b/api/core/file/upload_file_parser.py
new file mode 100644
index 0000000000..062a0b6d22
--- /dev/null
+++ b/api/core/file/upload_file_parser.py
@@ -0,0 +1,69 @@
+import base64
+import logging
+import time
+from typing import Optional
+
+from configs import dify_config
+from core.helper.url_signer import UrlSigner
+from extensions.ext_storage import storage
+
+IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"]
+IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS])
+
+
+class UploadFileParser:
+    @classmethod
+    def get_image_data(cls, upload_file, force_url: bool = False) -> Optional[str]:
+        if not upload_file:
+            return None
+
+        if upload_file.extension not in IMAGE_EXTENSIONS:
+            return None
+
+        if dify_config.MULTIMODAL_SEND_FORMAT == "url" or force_url:
+            return cls.get_signed_temp_image_url(upload_file.id)
+        else:
+            # get image file base64
+            try:
+                data = storage.load(upload_file.key)
+            except FileNotFoundError:
+                logging.exception(f"File not found: {upload_file.key}")
+                return None
+
+            encoded_string = base64.b64encode(data).decode("utf-8")
+            return f"data:{upload_file.mime_type};base64,{encoded_string}"
+
+    @classmethod
+    def get_signed_temp_image_url(cls, upload_file_id) -> str:
+        """
+        get signed url from upload file
+
+        :param upload_file: UploadFile object
+        :return:
+        """
+        base_url = dify_config.FILES_URL
+        image_preview_url = f"{base_url}/files/{upload_file_id}/image-preview"
+
+        return UrlSigner.get_signed_url(url=image_preview_url, sign_key=upload_file_id, prefix="image-preview")
+
+    @classmethod
+    def verify_image_file_signature(cls, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
+        """
+        verify signature
+
+        :param upload_file_id: file id
+        :param timestamp: timestamp
+        :param nonce: nonce
+        :param sign: signature
+        :return:
+        """
+        result = UrlSigner.verify(
+            sign_key=upload_file_id, timestamp=timestamp, nonce=nonce, sign=sign, prefix="image-preview"
+        )
+
+        # verify signature
+        if not result:
+            return False
+
+        current_time = int(time.time())
+        return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT
diff --git a/api/core/helper/download.py b/api/core/helper/download.py
new file mode 100644
index 0000000000..96400e8ba5
--- /dev/null
+++ b/api/core/helper/download.py
@@ -0,0 +1,17 @@
+from core.helper import ssrf_proxy
+
+
+def download_with_size_limit(url, max_download_size: int, **kwargs):
+    response = ssrf_proxy.get(url, follow_redirects=True, **kwargs)
+    if response.status_code == 404:
+        raise ValueError("file not found")
+
+    total_size = 0
+    chunks = []
+    for chunk in response.iter_bytes():
+        total_size += len(chunk)
+        if total_size > max_download_size:
+            raise ValueError("Max file size reached")
+        chunks.append(chunk)
+    content = b"".join(chunks)
+    return content
diff --git a/api/core/helper/marketplace.py b/api/core/helper/marketplace.py
new file mode 100644
index 0000000000..f4129b88ed
--- /dev/null
+++ b/api/core/helper/marketplace.py
@@ -0,0 +1,35 @@
+from collections.abc import Sequence
+
+import requests
+from yarl import URL
+
+from configs import dify_config
+from core.helper.download import download_with_size_limit
+from core.plugin.entities.marketplace import MarketplacePluginDeclaration
+
+
+def get_plugin_pkg_url(plugin_unique_identifier: str):
+    return (URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/download").with_query(
+        unique_identifier=plugin_unique_identifier
+    )
+
+
+def download_plugin_pkg(plugin_unique_identifier: str):
+    url = str(get_plugin_pkg_url(plugin_unique_identifier))
+    return download_with_size_limit(url, dify_config.PLUGIN_MAX_PACKAGE_SIZE)
+
+
+def batch_fetch_plugin_manifests(plugin_ids: list[str]) -> Sequence[MarketplacePluginDeclaration]:
+    if len(plugin_ids) == 0:
+        return []
+
+    url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/batch")
+    response = requests.post(url, json={"plugin_ids": plugin_ids})
+    response.raise_for_status()
+    return [MarketplacePluginDeclaration(**plugin) for plugin in response.json()["data"]["plugins"]]
+
+
+def record_install_plugin_event(plugin_unique_identifier: str):
+    url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/stats/plugins/install_count")
+    response = requests.post(url, json={"unique_identifier": plugin_unique_identifier})
+    response.raise_for_status()
diff --git a/api/core/helper/moderation.py b/api/core/helper/moderation.py
index 543444463b..6a5982eca4 100644
--- a/api/core/helper/moderation.py
+++ b/api/core/helper/moderation.py
@@ -1,28 +1,35 @@
 import logging
 import random
+from typing import cast
 
 from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
+from core.entities import DEFAULT_PLUGIN_ID
+from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.model_providers.openai.moderation.moderation import OpenAIModerationModel
+from core.model_runtime.model_providers.__base.moderation_model import ModerationModel
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
 from extensions.ext_hosting_provider import hosting_configuration
 from models.provider import ProviderType
 
 logger = logging.getLogger(__name__)
 
 
-def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str) -> bool:
+def check_moderation(tenant_id: str, model_config: ModelConfigWithCredentialsEntity, text: str) -> bool:
     moderation_config = hosting_configuration.moderation_config
+    openai_provider_name = f"{DEFAULT_PLUGIN_ID}/openai/openai"
     if (
         moderation_config
         and moderation_config.enabled is True
-        and "openai" in hosting_configuration.provider_map
-        and hosting_configuration.provider_map["openai"].enabled is True
+        and openai_provider_name in hosting_configuration.provider_map
+        and hosting_configuration.provider_map[openai_provider_name].enabled is True
     ):
         using_provider_type = model_config.provider_model_bundle.configuration.using_provider_type
         provider_name = model_config.provider
         if using_provider_type == ProviderType.SYSTEM and provider_name in moderation_config.providers:
-            hosting_openai_config = hosting_configuration.provider_map["openai"]
-            assert hosting_openai_config is not None
+            hosting_openai_config = hosting_configuration.provider_map[openai_provider_name]
+
+            if hosting_openai_config.credentials is None:
+                return False
 
             # 2000 text per chunk
             length = 2000
@@ -34,15 +41,20 @@ def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str)
             text_chunk = random.choice(text_chunks)
 
             try:
-                model_type_instance = OpenAIModerationModel()
-                # FIXME, for type hint using assert or raise ValueError is better here?
+                model_provider_factory = ModelProviderFactory(tenant_id)
+
+                # Get model instance of LLM
+                model_type_instance = model_provider_factory.get_model_type_instance(
+                    provider=openai_provider_name, model_type=ModelType.MODERATION
+                )
+                model_type_instance = cast(ModerationModel, model_type_instance)
                 moderation_result = model_type_instance.invoke(
-                    model="text-moderation-stable", credentials=hosting_openai_config.credentials or {}, text=text_chunk
+                    model="omni-moderation-latest", credentials=hosting_openai_config.credentials, text=text_chunk
                 )
 
                 if moderation_result is True:
                     return True
-            except Exception as ex:
+            except Exception:
                 logger.exception(f"Fails to check moderation, provider_name: {provider_name}")
                 raise InvokeBadRequestError("Rate limit exceeded, please try again later.")
 
diff --git a/api/core/helper/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py
index af1e527eb5..c8243b29d0 100644
--- a/api/core/helper/ssrf_proxy.py
+++ b/api/core/helper/ssrf_proxy.py
@@ -36,7 +36,6 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
         )
 
     retries = 0
-    stream = kwargs.pop("stream", False)
     while retries <= max_retries:
         try:
             if dify_config.SSRF_PROXY_ALL_URL:
diff --git a/api/core/helper/tool_provider_cache.py b/api/core/helper/tool_provider_cache.py
index 6de5e704ab..2e4a04c579 100644
--- a/api/core/helper/tool_provider_cache.py
+++ b/api/core/helper/tool_provider_cache.py
@@ -8,6 +8,7 @@ from extensions.ext_redis import redis_client
 
 class ToolProviderCredentialsCacheType(Enum):
     PROVIDER = "tool_provider"
+    ENDPOINT = "endpoint"
 
 
 class ToolProviderCredentialsCache:
diff --git a/api/core/helper/url_signer.py b/api/core/helper/url_signer.py
new file mode 100644
index 0000000000..dfb143f4c4
--- /dev/null
+++ b/api/core/helper/url_signer.py
@@ -0,0 +1,52 @@
+import base64
+import hashlib
+import hmac
+import os
+import time
+
+from pydantic import BaseModel, Field
+
+from configs import dify_config
+
+
+class SignedUrlParams(BaseModel):
+    sign_key: str = Field(..., description="The sign key")
+    timestamp: str = Field(..., description="Timestamp")
+    nonce: str = Field(..., description="Nonce")
+    sign: str = Field(..., description="Signature")
+
+
+class UrlSigner:
+    @classmethod
+    def get_signed_url(cls, url: str, sign_key: str, prefix: str) -> str:
+        signed_url_params = cls.get_signed_url_params(sign_key, prefix)
+        return (
+            f"{url}?timestamp={signed_url_params.timestamp}"
+            f"&nonce={signed_url_params.nonce}&sign={signed_url_params.sign}"
+        )
+
+    @classmethod
+    def get_signed_url_params(cls, sign_key: str, prefix: str) -> SignedUrlParams:
+        timestamp = str(int(time.time()))
+        nonce = os.urandom(16).hex()
+        sign = cls._sign(sign_key, timestamp, nonce, prefix)
+
+        return SignedUrlParams(sign_key=sign_key, timestamp=timestamp, nonce=nonce, sign=sign)
+
+    @classmethod
+    def verify(cls, sign_key: str, timestamp: str, nonce: str, sign: str, prefix: str) -> bool:
+        recalculated_sign = cls._sign(sign_key, timestamp, nonce, prefix)
+
+        return sign == recalculated_sign
+
+    @classmethod
+    def _sign(cls, sign_key: str, timestamp: str, nonce: str, prefix: str) -> str:
+        if not dify_config.SECRET_KEY:
+            raise Exception("SECRET_KEY is not set")
+
+        data_to_sign = f"{prefix}|{sign_key}|{timestamp}|{nonce}"
+        secret_key = dify_config.SECRET_KEY.encode()
+        sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest()
+        encoded_sign = base64.urlsafe_b64encode(sign).decode()
+
+        return encoded_sign
diff --git a/api/core/hosting_configuration.py b/api/core/hosting_configuration.py
index f9fb7275f3..67fd355ee9 100644
--- a/api/core/hosting_configuration.py
+++ b/api/core/hosting_configuration.py
@@ -4,9 +4,9 @@ from flask import Flask
 from pydantic import BaseModel
 
 from configs import dify_config
-from core.entities.provider_entities import QuotaUnit, RestrictModel
+from core.entities import DEFAULT_PLUGIN_ID
+from core.entities.provider_entities import ProviderQuotaType, QuotaUnit, RestrictModel
 from core.model_runtime.entities.model_entities import ModelType
-from models.provider import ProviderQuotaType
 
 
 class HostingQuota(BaseModel):
@@ -48,12 +48,12 @@ class HostingConfiguration:
         if dify_config.EDITION != "CLOUD":
             return
 
-        self.provider_map["azure_openai"] = self.init_azure_openai()
-        self.provider_map["openai"] = self.init_openai()
-        self.provider_map["anthropic"] = self.init_anthropic()
-        self.provider_map["minimax"] = self.init_minimax()
-        self.provider_map["spark"] = self.init_spark()
-        self.provider_map["zhipuai"] = self.init_zhipuai()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/azure_openai/azure_openai"] = self.init_azure_openai()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/openai/openai"] = self.init_openai()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/anthropic/anthropic"] = self.init_anthropic()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/minimax/minimax"] = self.init_minimax()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/spark/spark"] = self.init_spark()
+        self.provider_map[f"{DEFAULT_PLUGIN_ID}/zhipuai/zhipuai"] = self.init_zhipuai()
 
         self.moderation_config = self.init_moderation_config()
 
@@ -240,7 +240,14 @@ class HostingConfiguration:
     @staticmethod
     def init_moderation_config() -> HostedModerationConfig:
         if dify_config.HOSTED_MODERATION_ENABLED and dify_config.HOSTED_MODERATION_PROVIDERS:
-            return HostedModerationConfig(enabled=True, providers=dify_config.HOSTED_MODERATION_PROVIDERS.split(","))
+            providers = dify_config.HOSTED_MODERATION_PROVIDERS.split(",")
+            hosted_providers = []
+            for provider in providers:
+                if "/" not in provider:
+                    provider = f"{DEFAULT_PLUGIN_ID}/{provider}/{provider}"
+                hosted_providers.append(provider)
+
+            return HostedModerationConfig(enabled=True, providers=hosted_providers)
 
         return HostedModerationConfig(enabled=False)
 
diff --git a/api/core/indexing_runner.py b/api/core/indexing_runner.py
index 1bc4baf9c0..8206a8d3ec 100644
--- a/api/core/indexing_runner.py
+++ b/api/core/indexing_runner.py
@@ -30,7 +30,7 @@ from core.rag.splitter.fixed_text_splitter import (
     FixedRecursiveCharacterTextSplitter,
 )
 from core.rag.splitter.text_splitter import TextSplitter
-from core.tools.utils.web_reader_tool import get_image_upload_file_ids
+from core.tools.utils.rag_web_reader import get_image_upload_file_ids
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from extensions.ext_storage import storage
@@ -618,10 +618,8 @@ class IndexingRunner:
 
             tokens = 0
             if embedding_model_instance:
-                tokens += sum(
-                    embedding_model_instance.get_text_embedding_num_tokens([document.page_content])
-                    for document in chunk_documents
-                )
+                page_content_list = [document.page_content for document in chunk_documents]
+                tokens += sum(embedding_model_instance.get_text_embedding_num_tokens(page_content_list))
 
             # load index
             index_processor.load(dataset, chunk_documents, with_keywords=False)
diff --git a/api/core/llm_generator/llm_generator.py b/api/core/llm_generator/llm_generator.py
index 9fe3f68f2a..75687f9ae3 100644
--- a/api/core/llm_generator/llm_generator.py
+++ b/api/core/llm_generator/llm_generator.py
@@ -48,7 +48,7 @@ class LLMGenerator:
             response = cast(
                 LLMResult,
                 model_instance.invoke_llm(
-                    prompt_messages=prompts, model_parameters={"max_tokens": 100, "temperature": 1}, stream=False
+                    prompt_messages=list(prompts), model_parameters={"max_tokens": 100, "temperature": 1}, stream=False
                 ),
             )
         answer = cast(str, response.message.content)
@@ -101,7 +101,7 @@ class LLMGenerator:
             response = cast(
                 LLMResult,
                 model_instance.invoke_llm(
-                    prompt_messages=prompt_messages,
+                    prompt_messages=list(prompt_messages),
                     model_parameters={"max_tokens": 256, "temperature": 0},
                     stream=False,
                 ),
@@ -110,7 +110,7 @@ class LLMGenerator:
             questions = output_parser.parse(cast(str, response.message.content))
         except InvokeError:
             questions = []
-        except Exception as e:
+        except Exception:
             logging.exception("Failed to generate suggested questions after answer")
             questions = []
 
@@ -150,7 +150,7 @@ class LLMGenerator:
                 response = cast(
                     LLMResult,
                     model_instance.invoke_llm(
-                        prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False
+                        prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
                     ),
                 )
 
@@ -200,7 +200,7 @@ class LLMGenerator:
                 prompt_content = cast(
                     LLMResult,
                     model_instance.invoke_llm(
-                        prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False
+                        prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
                     ),
                 )
             except InvokeError as e:
@@ -236,7 +236,7 @@ class LLMGenerator:
                 parameter_content = cast(
                     LLMResult,
                     model_instance.invoke_llm(
-                        prompt_messages=parameter_messages, model_parameters=model_parameters, stream=False
+                        prompt_messages=list(parameter_messages), model_parameters=model_parameters, stream=False
                     ),
                 )
                 rule_config["variables"] = re.findall(r'"\s*([^"]+)\s*"', cast(str, parameter_content.message.content))
@@ -248,7 +248,7 @@ class LLMGenerator:
                 statement_content = cast(
                     LLMResult,
                     model_instance.invoke_llm(
-                        prompt_messages=statement_messages, model_parameters=model_parameters, stream=False
+                        prompt_messages=list(statement_messages), model_parameters=model_parameters, stream=False
                     ),
                 )
                 rule_config["opening_statement"] = cast(str, statement_content.message.content)
@@ -301,7 +301,7 @@ class LLMGenerator:
             response = cast(
                 LLMResult,
                 model_instance.invoke_llm(
-                    prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False
+                    prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
                 ),
             )
 
diff --git a/api/core/model_manager.py b/api/core/model_manager.py
index d1e71148cd..0d5e8a3e4b 100644
--- a/api/core/model_manager.py
+++ b/api/core/model_manager.py
@@ -1,6 +1,6 @@
 import logging
 from collections.abc import Callable, Generator, Iterable, Sequence
-from typing import IO, Any, Optional, Union, cast
+from typing import IO, Any, Literal, Optional, Union, cast, overload
 
 from configs import dify_config
 from core.entities.embedding_type import EmbeddingInputType
@@ -98,6 +98,42 @@ class ModelInstance:
 
         return None
 
+    @overload
+    def invoke_llm(
+        self,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Sequence[PromptMessageTool] | None = None,
+        stop: Optional[list[str]] = None,
+        stream: Literal[True] = True,
+        user: Optional[str] = None,
+        callbacks: Optional[list[Callback]] = None,
+    ) -> Generator: ...
+
+    @overload
+    def invoke_llm(
+        self,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Sequence[PromptMessageTool] | None = None,
+        stop: Optional[list[str]] = None,
+        stream: Literal[False] = False,
+        user: Optional[str] = None,
+        callbacks: Optional[list[Callback]] = None,
+    ) -> LLMResult: ...
+
+    @overload
+    def invoke_llm(
+        self,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Sequence[PromptMessageTool] | None = None,
+        stop: Optional[list[str]] = None,
+        stream: bool = True,
+        user: Optional[str] = None,
+        callbacks: Optional[list[Callback]] = None,
+    ) -> Union[LLMResult, Generator]: ...
+
     def invoke_llm(
         self,
         prompt_messages: Sequence[PromptMessage],
@@ -192,7 +228,7 @@ class ModelInstance:
             ),
         )
 
-    def get_text_embedding_num_tokens(self, texts: list[str]) -> int:
+    def get_text_embedding_num_tokens(self, texts: list[str]) -> list[int]:
         """
         Get number of tokens for text embedding
 
@@ -204,7 +240,7 @@ class ModelInstance:
 
         self.model_type_instance = cast(TextEmbeddingModel, self.model_type_instance)
         return cast(
-            int,
+            list[int],
             self._round_robin_invoke(
                 function=self.model_type_instance.get_num_tokens,
                 model=self.model,
@@ -397,7 +433,7 @@ class ModelManager:
 
         return ModelInstance(provider_model_bundle, model)
 
-    def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]:
+    def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str | None, str | None]:
         """
         Return first provider and the first model in the provider
         :param tenant_id: tenant id
diff --git a/api/core/model_runtime/entities/model_entities.py b/api/core/model_runtime/entities/model_entities.py
index edc6eac517..3225f03fbd 100644
--- a/api/core/model_runtime/entities/model_entities.py
+++ b/api/core/model_runtime/entities/model_entities.py
@@ -18,7 +18,6 @@ class ModelType(Enum):
     SPEECH2TEXT = "speech2text"
     MODERATION = "moderation"
     TTS = "tts"
-    TEXT2IMG = "text2img"
 
     @classmethod
     def value_of(cls, origin_model_type: str) -> "ModelType":
@@ -37,8 +36,6 @@ class ModelType(Enum):
             return cls.SPEECH2TEXT
         elif origin_model_type in {"tts", cls.TTS.value}:
             return cls.TTS
-        elif origin_model_type in {"text2img", cls.TEXT2IMG.value}:
-            return cls.TEXT2IMG
         elif origin_model_type == cls.MODERATION.value:
             return cls.MODERATION
         else:
@@ -62,8 +59,6 @@ class ModelType(Enum):
             return "tts"
         elif self == self.MODERATION:
             return "moderation"
-        elif self == self.TEXT2IMG:
-            return "text2img"
         else:
             raise ValueError(f"invalid model type {self}")
 
diff --git a/api/core/model_runtime/entities/provider_entities.py b/api/core/model_runtime/entities/provider_entities.py
index bfe861a97f..85321bed94 100644
--- a/api/core/model_runtime/entities/provider_entities.py
+++ b/api/core/model_runtime/entities/provider_entities.py
@@ -2,10 +2,10 @@ from collections.abc import Sequence
 from enum import Enum
 from typing import Optional
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, Field, field_validator
 
 from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import ModelType, ProviderModel
+from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
 
 
 class ConfigurateMethod(Enum):
@@ -101,7 +101,7 @@ class SimpleProviderEntity(BaseModel):
     icon_small: Optional[I18nObject] = None
     icon_large: Optional[I18nObject] = None
     supported_model_types: Sequence[ModelType]
-    models: list[ProviderModel] = []
+    models: list[AIModelEntity] = []
 
 
 class ProviderHelpEntity(BaseModel):
@@ -127,13 +127,21 @@ class ProviderEntity(BaseModel):
     help: Optional[ProviderHelpEntity] = None
     supported_model_types: Sequence[ModelType]
     configurate_methods: list[ConfigurateMethod]
-    models: list[ProviderModel] = []
+    models: list[AIModelEntity] = Field(default_factory=list)
     provider_credential_schema: Optional[ProviderCredentialSchema] = None
     model_credential_schema: Optional[ModelCredentialSchema] = None
 
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
 
+    @field_validator("models", mode="before")
+    @classmethod
+    def validate_models(cls, v):
+        # returns EmptyList if v is empty
+        if not v:
+            return []
+        return v
+
     def to_simple_provider(self) -> SimpleProviderEntity:
         """
         Convert to simple provider.
diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py
index 4cac66ac4a..abc8c83e19 100644
--- a/api/core/model_runtime/model_providers/__base/ai_model.py
+++ b/api/core/model_runtime/model_providers/__base/ai_model.py
@@ -1,53 +1,48 @@
 import decimal
-import os
-from abc import ABC, abstractmethod
 from typing import Optional
 
-from pydantic import ConfigDict
+from pydantic import BaseModel, ConfigDict, Field
 
-from core.helper.position_helper import get_position_map, sort_by_position_map
 from core.model_runtime.entities.common_entities import I18nObject
 from core.model_runtime.entities.defaults import PARAMETER_RULE_TEMPLATE
 from core.model_runtime.entities.model_entities import (
     AIModelEntity,
     DefaultParameterName,
-    FetchFrom,
     ModelType,
     PriceConfig,
     PriceInfo,
     PriceType,
 )
-from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
+from core.model_runtime.errors.invoke import (
+    InvokeAuthorizationError,
+    InvokeBadRequestError,
+    InvokeConnectionError,
+    InvokeError,
+    InvokeRateLimitError,
+    InvokeServerUnavailableError,
+)
 from core.model_runtime.model_providers.__base.tokenizers.gpt2_tokenzier import GPT2Tokenizer
-from core.tools.utils.yaml_utils import load_yaml_file
+from core.plugin.entities.plugin_daemon import PluginDaemonInnerError, PluginModelProviderEntity
+from core.plugin.manager.model import PluginModelManager
 
 
-class AIModel(ABC):
+class AIModel(BaseModel):
     """
     Base class for all models.
     """
 
-    model_type: ModelType
-    model_schemas: Optional[list[AIModelEntity]] = None
-    started_at: float = 0
+    tenant_id: str = Field(description="Tenant ID")
+    model_type: ModelType = Field(description="Model type")
+    plugin_id: str = Field(description="Plugin ID")
+    provider_name: str = Field(description="Provider")
+    plugin_model_provider: PluginModelProviderEntity = Field(description="Plugin model provider")
+    started_at: float = Field(description="Invoke start time", default=0)
 
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
 
-    @abstractmethod
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        raise NotImplementedError
-
     @property
-    @abstractmethod
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
+    def _invoke_error_mapping(self) -> dict[type[Exception], list[type[Exception]]]:
         """
         Map model invoke error to unified error
         The key is the error type thrown to the caller
@@ -56,29 +51,37 @@ class AIModel(ABC):
 
         :return: Invoke error mapping
         """
-        raise NotImplementedError
+        return {
+            InvokeConnectionError: [InvokeConnectionError],
+            InvokeServerUnavailableError: [InvokeServerUnavailableError],
+            InvokeRateLimitError: [InvokeRateLimitError],
+            InvokeAuthorizationError: [InvokeAuthorizationError],
+            InvokeBadRequestError: [InvokeBadRequestError],
+            PluginDaemonInnerError: [PluginDaemonInnerError],
+            ValueError: [ValueError],
+        }
 
-    def _transform_invoke_error(self, error: Exception) -> InvokeError:
+    def _transform_invoke_error(self, error: Exception) -> Exception:
         """
         Transform invoke error to unified error
 
         :param error: model invoke error
         :return: unified error
         """
-        provider_name = self.__class__.__module__.split(".")[-3]
-
         for invoke_error, model_errors in self._invoke_error_mapping.items():
             if isinstance(error, tuple(model_errors)):
                 if invoke_error == InvokeAuthorizationError:
-                    return invoke_error(
+                    return InvokeAuthorizationError(
                         description=(
-                            f"[{provider_name}] Incorrect model credentials provided, please check and try again."
+                            f"[{self.provider_name}] Incorrect model credentials provided, please check and try again."
                         )
                     )
+                elif isinstance(invoke_error, InvokeError):
+                    return invoke_error(description=f"[{self.provider_name}] {invoke_error.description}, {str(error)}")
+                else:
+                    return error
 
-                return invoke_error(description=f"[{provider_name}] {invoke_error.description}, {str(error)}")
-
-        return InvokeError(description=f"[{provider_name}] Error: {str(error)}")
+        return InvokeError(description=f"[{self.provider_name}] Error: {str(error)}")
 
     def get_price(self, model: str, credentials: dict, price_type: PriceType, tokens: int) -> PriceInfo:
         """
@@ -127,92 +130,6 @@ class AIModel(ABC):
             currency=price_config.currency,
         )
 
-    def predefined_models(self) -> list[AIModelEntity]:
-        """
-        Get all predefined models for given provider.
-
-        :return:
-        """
-        if self.model_schemas:
-            return self.model_schemas
-
-        model_schemas = []
-
-        # get module name
-        model_type = self.__class__.__module__.split(".")[-1]
-
-        # get provider name
-        provider_name = self.__class__.__module__.split(".")[-3]
-
-        # get the path of current classes
-        current_path = os.path.abspath(__file__)
-        # get parent path of the current path
-        provider_model_type_path = os.path.join(
-            os.path.dirname(os.path.dirname(current_path)), provider_name, model_type
-        )
-
-        # get all yaml files path under provider_model_type_path that do not start with __
-        model_schema_yaml_paths = [
-            os.path.join(provider_model_type_path, model_schema_yaml)
-            for model_schema_yaml in os.listdir(provider_model_type_path)
-            if not model_schema_yaml.startswith("__")
-            and not model_schema_yaml.startswith("_")
-            and os.path.isfile(os.path.join(provider_model_type_path, model_schema_yaml))
-            and model_schema_yaml.endswith(".yaml")
-        ]
-
-        # get _position.yaml file path
-        position_map = get_position_map(provider_model_type_path)
-
-        # traverse all model_schema_yaml_paths
-        for model_schema_yaml_path in model_schema_yaml_paths:
-            # read yaml data from yaml file
-            yaml_data = load_yaml_file(model_schema_yaml_path)
-
-            new_parameter_rules = []
-            for parameter_rule in yaml_data.get("parameter_rules", []):
-                if "use_template" in parameter_rule:
-                    try:
-                        default_parameter_name = DefaultParameterName.value_of(parameter_rule["use_template"])
-                        default_parameter_rule = self._get_default_parameter_rule_variable_map(default_parameter_name)
-                        copy_default_parameter_rule = default_parameter_rule.copy()
-                        copy_default_parameter_rule.update(parameter_rule)
-                        parameter_rule = copy_default_parameter_rule
-                    except ValueError:
-                        pass
-
-                if "label" not in parameter_rule:
-                    parameter_rule["label"] = {"zh_Hans": parameter_rule["name"], "en_US": parameter_rule["name"]}
-
-                new_parameter_rules.append(parameter_rule)
-
-            yaml_data["parameter_rules"] = new_parameter_rules
-
-            if "label" not in yaml_data:
-                yaml_data["label"] = {"zh_Hans": yaml_data["model"], "en_US": yaml_data["model"]}
-
-            yaml_data["fetch_from"] = FetchFrom.PREDEFINED_MODEL.value
-
-            try:
-                # yaml_data to entity
-                model_schema = AIModelEntity(**yaml_data)
-            except Exception as e:
-                model_schema_yaml_file_name = os.path.basename(model_schema_yaml_path).rstrip(".yaml")
-                raise Exception(
-                    f"Invalid model schema for {provider_name}.{model_type}.{model_schema_yaml_file_name}: {str(e)}"
-                )
-
-            # cache model schema
-            model_schemas.append(model_schema)
-
-        # resort model schemas by position
-        model_schemas = sort_by_position_map(position_map, model_schemas, lambda x: x.model)
-
-        # cache model schemas
-        self.model_schemas = model_schemas
-
-        return model_schemas
-
     def get_model_schema(self, model: str, credentials: Optional[dict] = None) -> Optional[AIModelEntity]:
         """
         Get model schema by model name and credentials
@@ -221,18 +138,16 @@ class AIModel(ABC):
         :param credentials: model credentials
         :return: model schema
         """
-        # Try to get model schema from predefined models
-        for predefined_model in self.predefined_models():
-            if model == predefined_model.model:
-                return predefined_model
-
-        # Try to get model schema from credentials
-        if credentials:
-            model_schema = self.get_customizable_model_schema_from_credentials(model, credentials)
-            if model_schema:
-                return model_schema
-
-        return None
+        plugin_model_manager = PluginModelManager()
+        return plugin_model_manager.get_model_schema(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=self.plugin_id,
+            provider=self.provider_name,
+            model_type=self.model_type.value,
+            model=model,
+            credentials=credentials or {},
+        )
 
     def get_customizable_model_schema_from_credentials(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
         """
diff --git a/api/core/model_runtime/model_providers/__base/audio.mp3 b/api/core/model_runtime/model_providers/__base/audio.mp3
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py
index 710e168e4f..7f8de7cbab 100644
--- a/api/core/model_runtime/model_providers/__base/large_language_model.py
+++ b/api/core/model_runtime/model_providers/__base/large_language_model.py
@@ -1,7 +1,5 @@
 import logging
-import re
 import time
-from abc import abstractmethod
 from collections.abc import Generator, Sequence
 from typing import Optional, Union
 
@@ -10,23 +8,18 @@ from pydantic import ConfigDict
 from configs import dify_config
 from core.model_runtime.callbacks.base_callback import Callback
 from core.model_runtime.callbacks.logging_callback import LoggingCallback
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMUsage
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
     PromptMessage,
-    PromptMessageContentType,
     PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
 )
 from core.model_runtime.entities.model_entities import (
-    ModelPropertyKey,
     ModelType,
-    ParameterRule,
-    ParameterType,
     PriceType,
 )
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 logger = logging.getLogger(__name__)
 
@@ -71,8 +64,6 @@ class LargeLanguageModel(AIModel):
         if model_parameters is None:
             model_parameters = {}
 
-        model_parameters = self._validate_and_filter_model_parameters(model, model_parameters, credentials)
-
         self.started_at = time.perf_counter()
 
         callbacks = callbacks or []
@@ -93,29 +84,83 @@ class LargeLanguageModel(AIModel):
             callbacks=callbacks,
         )
 
+        result: Union[LLMResult, Generator[LLMResultChunk, None, None]]
+
         try:
-            if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}:
-                result = self._code_block_mode_wrapper(
+            plugin_model_manager = PluginModelManager()
+            result = plugin_model_manager.invoke_llm(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
+                model=model,
+                credentials=credentials,
+                model_parameters=model_parameters,
+                prompt_messages=prompt_messages,
+                tools=tools,
+                stop=list(stop) if stop else None,
+                stream=stream,
+            )
+
+            if not stream:
+                content = ""
+                content_list = []
+                usage = LLMUsage.empty_usage()
+                system_fingerprint = None
+                tools_calls: list[AssistantPromptMessage.ToolCall] = []
+
+                def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
+                    def get_tool_call(tool_name: str):
+                        if not tool_name:
+                            return tools_calls[-1]
+
+                        tool_call = next(
+                            (tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None
+                        )
+                        if tool_call is None:
+                            tool_call = AssistantPromptMessage.ToolCall(
+                                id="",
+                                type="",
+                                function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""),
+                            )
+                            tools_calls.append(tool_call)
+
+                        return tool_call
+
+                    for new_tool_call in new_tool_calls:
+                        # get tool call
+                        tool_call = get_tool_call(new_tool_call.function.name)
+                        # update tool call
+                        if new_tool_call.id:
+                            tool_call.id = new_tool_call.id
+                        if new_tool_call.type:
+                            tool_call.type = new_tool_call.type
+                        if new_tool_call.function.name:
+                            tool_call.function.name = new_tool_call.function.name
+                        if new_tool_call.function.arguments:
+                            tool_call.function.arguments += new_tool_call.function.arguments
+
+                for chunk in result:
+                    if isinstance(chunk.delta.message.content, str):
+                        content += chunk.delta.message.content
+                    elif isinstance(chunk.delta.message.content, list):
+                        content_list.extend(chunk.delta.message.content)
+                    if chunk.delta.message.tool_calls:
+                        increase_tool_call(chunk.delta.message.tool_calls)
+
+                    usage = chunk.delta.usage or LLMUsage.empty_usage()
+                    system_fingerprint = chunk.system_fingerprint
+                    break
+
+                result = LLMResult(
                     model=model,
-                    credentials=credentials,
                     prompt_messages=prompt_messages,
-                    model_parameters=model_parameters,
-                    tools=tools,
-                    stop=stop,
-                    stream=stream,
-                    user=user,
-                    callbacks=callbacks,
-                )
-            else:
-                result = self._invoke(
-                    model=model,
-                    credentials=credentials,
-                    prompt_messages=prompt_messages,
-                    model_parameters=model_parameters,
-                    tools=tools,
-                    stop=stop,
-                    stream=stream,
-                    user=user,
+                    message=AssistantPromptMessage(
+                        content=content or content_list,
+                        tool_calls=tools_calls,
+                    ),
+                    usage=usage,
+                    system_fingerprint=system_fingerprint,
                 )
         except Exception as e:
             self._trigger_invoke_error_callbacks(
@@ -131,6 +176,7 @@ class LargeLanguageModel(AIModel):
                 callbacks=callbacks,
             )
 
+            # TODO
             raise self._transform_invoke_error(e)
 
         if stream and isinstance(result, Generator):
@@ -162,270 +208,6 @@ class LargeLanguageModel(AIModel):
 
         return result
 
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[Sequence[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper, ensure the response is a code block with output markdown quote
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :param callbacks: callbacks
-        :return: full response or stream response chunk generator result
-        """
-
-        block_prompts = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-        code_block = model_parameters.get("response_format", "")
-        if not code_block:
-            return self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-        model_parameters.pop("response_format")
-        stop = list(stop) if stop is not None else []
-        stop.extend(["\n```", "```\n"])
-        block_prompts = block_prompts.replace("{{block}}", code_block)
-
-        # check if there is a system message
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            # override the system message
-            prompt_messages[0] = SystemPromptMessage(
-                content=block_prompts.replace("{{instructions}}", str(prompt_messages[0].content))
-            )
-        else:
-            # insert the system message
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=block_prompts.replace("{{instructions}}", f"Please output a valid {code_block} object.")
-                ),
-            )
-
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage):
-            # add ```JSON\n to the last text message
-            if isinstance(prompt_messages[-1].content, str):
-                prompt_messages[-1].content += f"\n```{code_block}\n"
-            elif isinstance(prompt_messages[-1].content, list):
-                for i in range(len(prompt_messages[-1].content) - 1, -1, -1):
-                    if prompt_messages[-1].content[i].type == PromptMessageContentType.TEXT:
-                        prompt_messages[-1].content[i].data += f"\n```{code_block}\n"
-                        break
-        else:
-            # append a user message
-            prompt_messages.append(UserPromptMessage(content=f"```{code_block}\n"))
-
-        response = self._invoke(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-        if isinstance(response, Generator):
-            first_chunk = next(response)
-
-            def new_generator():
-                yield first_chunk
-                yield from response
-
-            if first_chunk.delta.message.content and first_chunk.delta.message.content.startswith("`"):
-                return self._code_block_mode_stream_processor_with_backtick(
-                    model=model, prompt_messages=prompt_messages, input_generator=new_generator()
-                )
-            else:
-                return self._code_block_mode_stream_processor(
-                    model=model, prompt_messages=prompt_messages, input_generator=new_generator()
-                )
-
-        return response
-
-    def _code_block_mode_stream_processor(
-        self, model: str, prompt_messages: list[PromptMessage], input_generator: Generator[LLMResultChunk, None, None]
-    ) -> Generator[LLMResultChunk, None, None]:
-        """
-        Code block mode stream processor, ensure the response is a code block with output markdown quote
-
-        :param model: model name
-        :param prompt_messages: prompt messages
-        :param input_generator: input generator
-        :return: output generator
-        """
-        state = "normal"
-        backtick_count = 0
-        for piece in input_generator:
-            if piece.delta.message.content:
-                content = piece.delta.message.content
-                piece.delta.message.content = ""
-                yield piece
-                content_piece = content
-            else:
-                yield piece
-                continue
-            new_piece: str = ""
-            for char in content_piece:
-                char = str(char)
-                if state == "normal":
-                    if char == "`":
-                        state = "in_backticks"
-                        backtick_count = 1
-                    else:
-                        new_piece += char
-                elif state == "in_backticks":
-                    if char == "`":
-                        backtick_count += 1
-                        if backtick_count == 3:
-                            state = "skip_content"
-                            backtick_count = 0
-                    else:
-                        new_piece += "`" * backtick_count + char
-                        state = "normal"
-                        backtick_count = 0
-                elif state == "skip_content":
-                    if char.isspace():
-                        state = "normal"
-
-            if new_piece:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=new_piece, tool_calls=[]),
-                    ),
-                )
-
-    def _code_block_mode_stream_processor_with_backtick(
-        self, model: str, prompt_messages: list, input_generator: Generator[LLMResultChunk, None, None]
-    ) -> Generator[LLMResultChunk, None, None]:
-        """
-        Code block mode stream processor, ensure the response is a code block with output markdown quote.
-        This version skips the language identifier that follows the opening triple backticks.
-
-        :param model: model name
-        :param prompt_messages: prompt messages
-        :param input_generator: input generator
-        :return: output generator
-        """
-        state = "search_start"
-        backtick_count = 0
-
-        for piece in input_generator:
-            if piece.delta.message.content:
-                content = piece.delta.message.content
-                # Reset content to ensure we're only processing and yielding the relevant parts
-                piece.delta.message.content = ""
-                # Yield a piece with cleared content before processing it to maintain the generator structure
-                yield piece
-                content_piece = content
-            else:
-                # Yield pieces without content directly
-                yield piece
-                continue
-
-            if state == "done":
-                continue
-
-            new_piece: str = ""
-            for char in content_piece:
-                if state == "search_start":
-                    if char == "`":
-                        backtick_count += 1
-                        if backtick_count == 3:
-                            state = "skip_language"
-                            backtick_count = 0
-                    else:
-                        backtick_count = 0
-                elif state == "skip_language":
-                    # Skip everything until the first newline, marking the end of the language identifier
-                    if char == "\n":
-                        state = "in_code_block"
-                elif state == "in_code_block":
-                    if char == "`":
-                        backtick_count += 1
-                        if backtick_count == 3:
-                            state = "done"
-                            break
-                    else:
-                        if backtick_count > 0:
-                            # If backticks were counted but we're still collecting content, it was a false start
-                            new_piece += "`" * backtick_count
-                            backtick_count = 0
-                        new_piece += str(char)
-
-                elif state == "done":
-                    break
-
-            if new_piece:
-                # Only yield content collected within the code block
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=new_piece, tool_calls=[]),
-                    ),
-                )
-
-    def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
-        """
-        If the reasoning response is from delta.get("reasoning_content"), we wrap
-        it with HTML think tag.
-
-        :param delta: delta dictionary from LLM streaming response
-        :param is_reasoning: is reasoning
-        :return: tuple of (processed_content, is_reasoning)
-        """
-
-        content = delta.get("content") or ""
-        reasoning_content = delta.get("reasoning_content")
-
-        if reasoning_content:
-            if not is_reasoning:
-                content = "<think>\n" + reasoning_content
-                is_reasoning = True
-            else:
-                content = reasoning_content
-        elif is_reasoning and content:
-            # do not end reasoning when content is empty
-            # there may be more reasoning_content later that follows previous reasoning closely
-            content = "\n</think>" + content
-            is_reasoning = False
-        return content, is_reasoning
-
     def _invoke_result_generator(
         self,
         model: str,
@@ -497,34 +279,6 @@ if you are not sure about the structure.
             callbacks=callbacks,
         )
 
-    @abstractmethod
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[Sequence[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        raise NotImplementedError
-
-    @abstractmethod
     def get_num_tokens(
         self,
         model: str,
@@ -541,41 +295,18 @@ if you are not sure about the structure.
         :param tools: tools for tool calling
         :return:
         """
-        raise NotImplementedError
-
-    def enforce_stop_tokens(self, text: str, stop: list[str]) -> str:
-        """Cut off the text as soon as any stop words occur."""
-        return re.split("|".join(stop), text, maxsplit=1)[0]
-
-    def get_parameter_rules(self, model: str, credentials: dict) -> list[ParameterRule]:
-        """
-        Get parameter rules
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: parameter rules
-        """
-        model_schema = self.get_model_schema(model, credentials)
-        if model_schema:
-            return model_schema.parameter_rules
-
-        return []
-
-    def get_model_mode(self, model: str, credentials: Optional[dict] = None) -> LLMMode:
-        """
-        Get model mode
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: model mode
-        """
-        model_schema = self.get_model_schema(model, credentials)
-
-        mode = LLMMode.CHAT
-        if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE):
-            mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE])
-
-        return mode
+        plugin_model_manager = PluginModelManager()
+        return plugin_model_manager.get_llm_num_tokens(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=self.plugin_id,
+            provider=self.provider_name,
+            model_type=self.model_type.value,
+            model=model,
+            credentials=credentials,
+            prompt_messages=prompt_messages,
+            tools=tools,
+        )
 
     def _calc_response_usage(
         self, model: str, credentials: dict, prompt_tokens: int, completion_tokens: int
@@ -807,98 +538,3 @@ if you are not sure about the structure.
                         raise e
                     else:
                         logger.warning(f"Callback {callback.__class__.__name__} on_invoke_error failed with error {e}")
-
-    def _validate_and_filter_model_parameters(self, model: str, model_parameters: dict, credentials: dict) -> dict:
-        """
-        Validate model parameters
-
-        :param model: model name
-        :param model_parameters: model parameters
-        :param credentials: model credentials
-        :return:
-        """
-        parameter_rules = self.get_parameter_rules(model, credentials)
-
-        # validate model parameters
-        filtered_model_parameters = {}
-        for parameter_rule in parameter_rules:
-            parameter_name = parameter_rule.name
-            parameter_value = model_parameters.get(parameter_name)
-            if parameter_value is None:
-                if parameter_rule.use_template and parameter_rule.use_template in model_parameters:
-                    # if parameter value is None, use template value variable name instead
-                    parameter_value = model_parameters[parameter_rule.use_template]
-                else:
-                    if parameter_rule.required:
-                        if parameter_rule.default is not None:
-                            filtered_model_parameters[parameter_name] = parameter_rule.default
-                            continue
-                        else:
-                            raise ValueError(f"Model Parameter {parameter_name} is required.")
-                    else:
-                        continue
-
-            # validate parameter value type
-            if parameter_rule.type == ParameterType.INT:
-                if not isinstance(parameter_value, int):
-                    raise ValueError(f"Model Parameter {parameter_name} should be int.")
-
-                # validate parameter value range
-                if parameter_rule.min is not None and parameter_value < parameter_rule.min:
-                    raise ValueError(
-                        f"Model Parameter {parameter_name} should be greater than or equal to {parameter_rule.min}."
-                    )
-
-                if parameter_rule.max is not None and parameter_value > parameter_rule.max:
-                    raise ValueError(
-                        f"Model Parameter {parameter_name} should be less than or equal to {parameter_rule.max}."
-                    )
-            elif parameter_rule.type == ParameterType.FLOAT:
-                if not isinstance(parameter_value, float | int):
-                    raise ValueError(f"Model Parameter {parameter_name} should be float.")
-
-                # validate parameter value precision
-                if parameter_rule.precision is not None:
-                    if parameter_rule.precision == 0:
-                        if parameter_value != int(parameter_value):
-                            raise ValueError(f"Model Parameter {parameter_name} should be int.")
-                    else:
-                        if parameter_value != round(parameter_value, parameter_rule.precision):
-                            raise ValueError(
-                                f"Model Parameter {parameter_name} should be round to {parameter_rule.precision}"
-                                f" decimal places."
-                            )
-
-                # validate parameter value range
-                if parameter_rule.min is not None and parameter_value < parameter_rule.min:
-                    raise ValueError(
-                        f"Model Parameter {parameter_name} should be greater than or equal to {parameter_rule.min}."
-                    )
-
-                if parameter_rule.max is not None and parameter_value > parameter_rule.max:
-                    raise ValueError(
-                        f"Model Parameter {parameter_name} should be less than or equal to {parameter_rule.max}."
-                    )
-            elif parameter_rule.type == ParameterType.BOOLEAN:
-                if not isinstance(parameter_value, bool):
-                    raise ValueError(f"Model Parameter {parameter_name} should be bool.")
-            elif parameter_rule.type == ParameterType.STRING:
-                if not isinstance(parameter_value, str):
-                    raise ValueError(f"Model Parameter {parameter_name} should be string.")
-
-                # validate options
-                if parameter_rule.options and parameter_value not in parameter_rule.options:
-                    raise ValueError(f"Model Parameter {parameter_name} should be one of {parameter_rule.options}.")
-            elif parameter_rule.type == ParameterType.TEXT:
-                if not isinstance(parameter_value, str):
-                    raise ValueError(f"Model Parameter {parameter_name} should be text.")
-
-                # validate options
-                if parameter_rule.options and parameter_value not in parameter_rule.options:
-                    raise ValueError(f"Model Parameter {parameter_name} should be one of {parameter_rule.options}.")
-            else:
-                raise ValueError(f"Model Parameter {parameter_name} type {parameter_rule.type} is not supported.")
-
-            filtered_model_parameters[parameter_name] = parameter_value
-
-        return filtered_model_parameters
diff --git a/api/core/model_runtime/model_providers/__base/model_provider.py b/api/core/model_runtime/model_providers/__base/model_provider.py
deleted file mode 100644
index 36e3e7bd55..0000000000
--- a/api/core/model_runtime/model_providers/__base/model_provider.py
+++ /dev/null
@@ -1,121 +0,0 @@
-import os
-from abc import ABC, abstractmethod
-from typing import Optional
-
-from core.helper.module_import_helper import get_subclasses_from_module, import_module_from_source
-from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
-from core.model_runtime.entities.provider_entities import ProviderEntity
-from core.model_runtime.model_providers.__base.ai_model import AIModel
-from core.tools.utils.yaml_utils import load_yaml_file
-
-
-class ModelProvider(ABC):
-    provider_schema: Optional[ProviderEntity] = None
-    model_instance_map: dict[str, AIModel] = {}
-
-    @abstractmethod
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        You can choose any validate_credentials method of model type or implement validate method by yourself,
-        such as: get model list api
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        raise NotImplementedError
-
-    def get_provider_schema(self) -> ProviderEntity:
-        """
-        Get provider schema
-
-        :return: provider schema
-        """
-        if self.provider_schema:
-            return self.provider_schema
-
-        # get dirname of the current path
-        provider_name = self.__class__.__module__.split(".")[-1]
-
-        # get the path of the model_provider classes
-        base_path = os.path.abspath(__file__)
-        current_path = os.path.join(os.path.dirname(os.path.dirname(base_path)), provider_name)
-
-        # read provider schema from yaml file
-        yaml_path = os.path.join(current_path, f"{provider_name}.yaml")
-        yaml_data = load_yaml_file(yaml_path)
-
-        try:
-            # yaml_data to entity
-            provider_schema = ProviderEntity(**yaml_data)
-        except Exception as e:
-            raise Exception(f"Invalid provider schema for {provider_name}: {str(e)}")
-
-        # cache schema
-        self.provider_schema = provider_schema
-
-        return provider_schema
-
-    def models(self, model_type: ModelType) -> list[AIModelEntity]:
-        """
-        Get all models for given model type
-
-        :param model_type: model type defined in `ModelType`
-        :return: list of models
-        """
-        provider_schema = self.get_provider_schema()
-        if model_type not in provider_schema.supported_model_types:
-            return []
-
-        # get model instance of the model type
-        model_instance = self.get_model_instance(model_type)
-
-        # get predefined models (predefined_models)
-        models = model_instance.predefined_models()
-
-        # return models
-        return models
-
-    def get_model_instance(self, model_type: ModelType) -> AIModel:
-        """
-        Get model instance
-
-        :param model_type: model type defined in `ModelType`
-        :return:
-        """
-        # get dirname of the current path
-        provider_name = self.__class__.__module__.split(".")[-1]
-
-        if f"{provider_name}.{model_type.value}" in self.model_instance_map:
-            return self.model_instance_map[f"{provider_name}.{model_type.value}"]
-
-        # get the path of the model type classes
-        base_path = os.path.abspath(__file__)
-        model_type_name = model_type.value.replace("-", "_")
-        model_type_path = os.path.join(os.path.dirname(os.path.dirname(base_path)), provider_name, model_type_name)
-        model_type_py_path = os.path.join(model_type_path, f"{model_type_name}.py")
-
-        if not os.path.isdir(model_type_path) or not os.path.exists(model_type_py_path):
-            raise Exception(f"Invalid model type {model_type} for provider {provider_name}")
-
-        # Dynamic loading {model_type_name}.py file and find the subclass of AIModel
-        parent_module = ".".join(self.__class__.__module__.split(".")[:-1])
-        mod = import_module_from_source(
-            module_name=f"{parent_module}.{model_type_name}.{model_type_name}", py_file_path=model_type_py_path
-        )
-        # FIXME "type" has no attribute "__abstractmethods__" ignore it for now fix it later
-        model_class = next(
-            filter(
-                lambda x: x.__module__ == mod.__name__ and not x.__abstractmethods__,  # type: ignore
-                get_subclasses_from_module(mod, AIModel),
-            ),
-            None,
-        )
-        if not model_class:
-            raise Exception(f"Missing AIModel Class for model type {model_type} in {model_type_py_path}")
-
-        model_instance_map = model_class()
-        self.model_instance_map[f"{provider_name}.{model_type.value}"] = model_instance_map
-
-        return model_instance_map
diff --git a/api/core/model_runtime/model_providers/__base/moderation_model.py b/api/core/model_runtime/model_providers/__base/moderation_model.py
index d04414ccb8..f98d7572c7 100644
--- a/api/core/model_runtime/model_providers/__base/moderation_model.py
+++ b/api/core/model_runtime/model_providers/__base/moderation_model.py
@@ -1,11 +1,11 @@
 import time
-from abc import abstractmethod
 from typing import Optional
 
 from pydantic import ConfigDict
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 
 class ModerationModel(AIModel):
@@ -31,19 +31,15 @@ class ModerationModel(AIModel):
         self.started_at = time.perf_counter()
 
         try:
-            return self._invoke(model, credentials, text, user)
+            plugin_model_manager = PluginModelManager()
+            return plugin_model_manager.invoke_moderation(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
+                model=model,
+                credentials=credentials,
+                text=text,
+            )
         except Exception as e:
             raise self._transform_invoke_error(e)
-
-    @abstractmethod
-    def _invoke(self, model: str, credentials: dict, text: str, user: Optional[str] = None) -> bool:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param text: text to moderate
-        :param user: unique user id
-        :return: false if text is safe, true otherwise
-        """
-        raise NotImplementedError
diff --git a/api/core/model_runtime/model_providers/__base/rerank_model.py b/api/core/model_runtime/model_providers/__base/rerank_model.py
index 5fb9604742..e905cb18d4 100644
--- a/api/core/model_runtime/model_providers/__base/rerank_model.py
+++ b/api/core/model_runtime/model_providers/__base/rerank_model.py
@@ -1,10 +1,9 @@
-import time
-from abc import abstractmethod
 from typing import Optional
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.entities.rerank_entities import RerankResult
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 
 class RerankModel(AIModel):
@@ -36,34 +35,19 @@ class RerankModel(AIModel):
         :param user: unique user id
         :return: rerank result
         """
-        self.started_at = time.perf_counter()
-
         try:
-            return self._invoke(model, credentials, query, docs, score_threshold, top_n, user)
+            plugin_model_manager = PluginModelManager()
+            return plugin_model_manager.invoke_rerank(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
+                model=model,
+                credentials=credentials,
+                query=query,
+                docs=docs,
+                score_threshold=score_threshold,
+                top_n=top_n,
+            )
         except Exception as e:
             raise self._transform_invoke_error(e)
-
-    @abstractmethod
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        raise NotImplementedError
diff --git a/api/core/model_runtime/model_providers/__base/speech2text_model.py b/api/core/model_runtime/model_providers/__base/speech2text_model.py
index b6b0b73743..97ff322f09 100644
--- a/api/core/model_runtime/model_providers/__base/speech2text_model.py
+++ b/api/core/model_runtime/model_providers/__base/speech2text_model.py
@@ -1,11 +1,10 @@
-import os
-from abc import abstractmethod
 from typing import IO, Optional
 
 from pydantic import ConfigDict
 
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 
 class Speech2TextModel(AIModel):
@@ -20,7 +19,7 @@ class Speech2TextModel(AIModel):
 
     def invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
         """
-        Invoke large language model
+        Invoke speech to text model
 
         :param model: model name
         :param credentials: model credentials
@@ -29,31 +28,15 @@ class Speech2TextModel(AIModel):
         :return: text for given audio file
         """
         try:
-            return self._invoke(model, credentials, file, user)
+            plugin_model_manager = PluginModelManager()
+            return plugin_model_manager.invoke_speech_to_text(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
+                model=model,
+                credentials=credentials,
+                file=file,
+            )
         except Exception as e:
             raise self._transform_invoke_error(e)
-
-    @abstractmethod
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        raise NotImplementedError
-
-    def _get_demo_file_path(self) -> str:
-        """
-        Get demo file for given model
-
-        :return: demo file
-        """
-        # Get the directory of the current file
-        current_dir = os.path.dirname(os.path.abspath(__file__))
-
-        # Construct the path to the audio file
-        return os.path.join(current_dir, "audio.mp3")
diff --git a/api/core/model_runtime/model_providers/__base/text2img_model.py b/api/core/model_runtime/model_providers/__base/text2img_model.py
deleted file mode 100644
index a5810e2f0e..0000000000
--- a/api/core/model_runtime/model_providers/__base/text2img_model.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from abc import abstractmethod
-from typing import IO, Optional
-
-from pydantic import ConfigDict
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers.__base.ai_model import AIModel
-
-
-class Text2ImageModel(AIModel):
-    """
-    Model class for text2img model.
-    """
-
-    model_type: ModelType = ModelType.TEXT2IMG
-
-    # pydantic configs
-    model_config = ConfigDict(protected_namespaces=())
-
-    def invoke(
-        self, model: str, credentials: dict, prompt: str, model_parameters: dict, user: Optional[str] = None
-    ) -> list[IO[bytes]]:
-        """
-        Invoke Text2Image model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt: prompt for image generation
-        :param model_parameters: model parameters
-        :param user: unique user id
-
-        :return: image bytes
-        """
-        try:
-            return self._invoke(model, credentials, prompt, model_parameters, user)
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-    @abstractmethod
-    def _invoke(
-        self, model: str, credentials: dict, prompt: str, model_parameters: dict, user: Optional[str] = None
-    ) -> list[IO[bytes]]:
-        """
-        Invoke Text2Image model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt: prompt for image generation
-        :param model_parameters: model parameters
-        :param user: unique user id
-
-        :return: image bytes
-        """
-        raise NotImplementedError
diff --git a/api/core/model_runtime/model_providers/__base/text_embedding_model.py b/api/core/model_runtime/model_providers/__base/text_embedding_model.py
index 3313512908..c4c1f92177 100644
--- a/api/core/model_runtime/model_providers/__base/text_embedding_model.py
+++ b/api/core/model_runtime/model_providers/__base/text_embedding_model.py
@@ -1,5 +1,3 @@
-import time
-from abc import abstractmethod
 from typing import Optional
 
 from pydantic import ConfigDict
@@ -8,6 +6,7 @@ from core.entities.embedding_type import EmbeddingInputType
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 
 class TextEmbeddingModel(AIModel):
@@ -38,36 +37,22 @@ class TextEmbeddingModel(AIModel):
         :param input_type: input type
         :return: embeddings result
         """
-        self.started_at = time.perf_counter()
-
         try:
-            return self._invoke(model, credentials, texts, user, input_type)
+            plugin_model_manager = PluginModelManager()
+            return plugin_model_manager.invoke_text_embedding(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
+                model=model,
+                credentials=credentials,
+                texts=texts,
+                input_type=input_type.value,
+            )
         except Exception as e:
             raise self._transform_invoke_error(e)
 
-    @abstractmethod
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        raise NotImplementedError
-
-    @abstractmethod
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
+    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> list[int]:
         """
         Get number of tokens for given prompt messages
 
@@ -76,7 +61,16 @@ class TextEmbeddingModel(AIModel):
         :param texts: texts to embed
         :return:
         """
-        raise NotImplementedError
+        plugin_model_manager = PluginModelManager()
+        return plugin_model_manager.get_text_embedding_num_tokens(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=self.plugin_id,
+            provider=self.provider_name,
+            model=model,
+            credentials=credentials,
+            texts=texts,
+        )
 
     def _get_context_size(self, model: str, credentials: dict) -> int:
         """
diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt
deleted file mode 100644
index 226b0752ca..0000000000
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt
+++ /dev/null
@@ -1,50001 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/special_tokens_map.json b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/special_tokens_map.json
deleted file mode 100644
index 773bd68cf0..0000000000
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/special_tokens_map.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
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-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
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-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}
diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/tokenizer_config.json b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/tokenizer_config.json
deleted file mode 100644
index 48314a4d09..0000000000
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/tokenizer_config.json
+++ /dev/null
@@ -1,33 +0,0 @@
-{
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-  "add_prefix_space": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
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-    "single_word": false
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-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "errors": "replace",
-  "model_max_length": 1024,
-  "pad_token": null,
-  "tokenizer_class": "GPT2Tokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}
diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/vocab.json b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/vocab.json
deleted file mode 100644
index a15dd0028a..0000000000
--- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/vocab.json
+++ /dev/null
@@ -1,50259 +0,0 @@
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-}
diff --git a/api/core/model_runtime/model_providers/__base/tts_model.py b/api/core/model_runtime/model_providers/__base/tts_model.py
index 6ce316b137..4feaa6f042 100644
--- a/api/core/model_runtime/model_providers/__base/tts_model.py
+++ b/api/core/model_runtime/model_providers/__base/tts_model.py
@@ -1,13 +1,12 @@
 import logging
-import re
-from abc import abstractmethod
 from collections.abc import Iterable
-from typing import Any, Optional
+from typing import Optional
 
 from pydantic import ConfigDict
 
-from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
+from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.plugin.manager.model import PluginModelManager
 
 logger = logging.getLogger(__name__)
 
@@ -44,42 +43,21 @@ class TTSModel(AIModel):
         :return: translated audio file
         """
         try:
-            return self._invoke(
+            plugin_model_manager = PluginModelManager()
+            return plugin_model_manager.invoke_tts(
+                tenant_id=self.tenant_id,
+                user_id=user or "unknown",
+                plugin_id=self.plugin_id,
+                provider=self.provider_name,
                 model=model,
                 credentials=credentials,
-                user=user,
                 content_text=content_text,
                 voice=voice,
-                tenant_id=tenant_id,
             )
         except Exception as e:
             raise self._transform_invoke_error(e)
 
-    @abstractmethod
-    def _invoke(
-        self,
-        model: str,
-        tenant_id: str,
-        credentials: dict,
-        content_text: str,
-        voice: str,
-        user: Optional[str] = None,
-    ) -> Iterable[bytes]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :param streaming: output is streaming
-        :param user: unique user id
-        :return: translated audio file
-        """
-        raise NotImplementedError
-
-    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
+    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list[dict]:
         """
         Retrieves the list of voices supported by a given text-to-speech (TTS) model.
 
@@ -88,92 +66,13 @@ class TTSModel(AIModel):
         :param credentials: The credentials required to access the TTS model.
         :return: A list of voices supported by the TTS model.
         """
-        model_schema = self.get_model_schema(model, credentials)
-
-        if not model_schema or ModelPropertyKey.VOICES not in model_schema.model_properties:
-            raise ValueError("this model does not support voice")
-
-        voices = model_schema.model_properties[ModelPropertyKey.VOICES]
-        if language:
-            return [
-                {"name": d["name"], "value": d["mode"]} for d in voices if language and language in d.get("language")
-            ]
-        else:
-            return [{"name": d["name"], "value": d["mode"]} for d in voices]
-
-    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
-        """
-        Get voice for given tts model
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: voice
-        """
-        model_schema = self.get_model_schema(model, credentials)
-
-        if model_schema and ModelPropertyKey.DEFAULT_VOICE in model_schema.model_properties:
-            return model_schema.model_properties[ModelPropertyKey.DEFAULT_VOICE]
-
-    def _get_model_audio_type(self, model: str, credentials: dict) -> str:
-        """
-        Get audio type for given tts model
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: voice
-        """
-        model_schema = self.get_model_schema(model, credentials)
-
-        if not model_schema or ModelPropertyKey.AUDIO_TYPE not in model_schema.model_properties:
-            raise ValueError("this model does not support audio type")
-
-        audio_type: str = model_schema.model_properties[ModelPropertyKey.AUDIO_TYPE]
-        return audio_type
-
-    def _get_model_word_limit(self, model: str, credentials: dict) -> int:
-        """
-        Get audio type for given tts model
-        :return: audio type
-        """
-        model_schema = self.get_model_schema(model, credentials)
-
-        if not model_schema or ModelPropertyKey.WORD_LIMIT not in model_schema.model_properties:
-            raise ValueError("this model does not support word limit")
-        world_limit: int = model_schema.model_properties[ModelPropertyKey.WORD_LIMIT]
-
-        return world_limit
-
-    def _get_model_workers_limit(self, model: str, credentials: dict) -> int:
-        """
-        Get audio max workers for given tts model
-        :return: audio type
-        """
-        model_schema = self.get_model_schema(model, credentials)
-
-        if not model_schema or ModelPropertyKey.MAX_WORKERS not in model_schema.model_properties:
-            raise ValueError("this model does not support max workers")
-        workers_limit: int = model_schema.model_properties[ModelPropertyKey.MAX_WORKERS]
-
-        return workers_limit
-
-    @staticmethod
-    def _split_text_into_sentences(org_text, max_length=2000, pattern=r"[。.!?]"):
-        match = re.compile(pattern)
-        tx = match.finditer(org_text)
-        start = 0
-        result = []
-        one_sentence = ""
-        for i in tx:
-            end = i.regs[0][1]
-            tmp = org_text[start:end]
-            if len(one_sentence + tmp) > max_length:
-                result.append(one_sentence)
-                one_sentence = ""
-            one_sentence += tmp
-            start = end
-        last_sens = org_text[start:]
-        if last_sens:
-            one_sentence += last_sens
-        if one_sentence != "":
-            result.append(one_sentence)
-        return result
+        plugin_model_manager = PluginModelManager()
+        return plugin_model_manager.get_tts_model_voices(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=self.plugin_id,
+            provider=self.provider_name,
+            model=model,
+            credentials=credentials,
+            language=language,
+        )
diff --git a/api/core/model_runtime/model_providers/__init__.py b/api/core/model_runtime/model_providers/__init__.py
index 9d71013dbf..e69de29bb2 100644
--- a/api/core/model_runtime/model_providers/__init__.py
+++ b/api/core/model_runtime/model_providers/__init__.py
@@ -1,3 +0,0 @@
-from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
-
-model_provider_factory = ModelProviderFactory()
diff --git a/api/core/model_runtime/model_providers/anthropic/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/anthropic/_assets/icon_s_en.svg
deleted file mode 100644
index d852f04401..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="24" height="24" rx="6" fill="#CA9F7B"/>
-<path d="M15.3843 6.43481H12.9687L17.3739 17.5652H19.7896L15.3843 6.43481ZM8.40522 6.43481L4 17.5652H6.4633L7.36417 15.2279H11.9729L12.8737 17.5652H15.337L10.9318 6.43481H8.40522ZM8.16104 13.1607L9.66852 9.24907L11.176 13.1607H8.16104Z" fill="#191918"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/anthropic/anthropic.py b/api/core/model_runtime/model_providers/anthropic/anthropic.py
deleted file mode 100644
index 5b12f04a3e..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/anthropic.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class AnthropicProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `claude-3-opus-20240229` model for validate,
-            model_instance.validate_credentials(model="claude-3-opus-20240229", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/anthropic/anthropic.yaml b/api/core/model_runtime/model_providers/anthropic/anthropic.yaml
deleted file mode 100644
index cf41f544ef..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/anthropic.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-provider: anthropic
-label:
-  en_US: Anthropic
-description:
-  en_US: Anthropic’s powerful models, such as Claude 3.
-  zh_Hans: Anthropic 的强大模型，例如 Claude 3。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#F0F0EB"
-help:
-  title:
-    en_US: Get your API Key from Anthropic
-    zh_Hans: 从 Anthropic 获取 API Key
-  url:
-    en_US: https://console.anthropic.com/account/keys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: anthropic_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: anthropic_api_url
-      label:
-        en_US: API URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API URL
-        en_US: Enter your API URL
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/_position.yaml b/api/core/model_runtime/model_providers/anthropic/llm/_position.yaml
deleted file mode 100644
index b7b28a70d4..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/_position.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-- claude-3-5-haiku-20241022
-- claude-3-5-sonnet-20241022
-- claude-3-5-sonnet-20240620
-- claude-3-haiku-20240307
-- claude-3-opus-20240229
-- claude-3-sonnet-20240229
-- claude-2.1
-- claude-instant-1.2
-- claude-2
-- claude-instant-1
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-2.1.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-2.1.yaml
deleted file mode 100644
index 6707c34594..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-2.1.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: claude-2.1
-label:
-  en_US: claude-2.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens_to_sample
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '8.00'
-  output: '24.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-2.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-2.yaml
deleted file mode 100644
index 1986947129..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-2.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: claude-2
-label:
-  en_US: claude-2
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens_to_sample
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '8.00'
-  output: '24.00'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-haiku-20241022.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-haiku-20241022.yaml
deleted file mode 100644
index 892146f6a5..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-haiku-20241022.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: claude-3-5-haiku-20241022
-label:
-  en_US: claude-3-5-haiku-20241022
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '1.00'
-  output: '5.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20240620.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20240620.yaml
deleted file mode 100644
index 4eb56bbc0e..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20240620.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: claude-3-5-sonnet-20240620
-label:
-  en_US: claude-3-5-sonnet-20240620
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '3.00'
-  output: '15.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20241022.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20241022.yaml
deleted file mode 100644
index 81822b162e..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-5-sonnet-20241022.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: claude-3-5-sonnet-20241022
-label:
-  en_US: claude-3-5-sonnet-20241022
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '3.00'
-  output: '15.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-haiku-20240307.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-haiku-20240307.yaml
deleted file mode 100644
index cb2af1308a..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-haiku-20240307.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: claude-3-haiku-20240307
-label:
-  en_US: claude-3-haiku-20240307
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.25'
-  output: '1.25'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-opus-20240229.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-opus-20240229.yaml
deleted file mode 100644
index 101f54c3f8..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-opus-20240229.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: claude-3-opus-20240229
-label:
-  en_US: claude-3-opus-20240229
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '15.00'
-  output: '75.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-sonnet-20240229.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-sonnet-20240229.yaml
deleted file mode 100644
index daf55553f8..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-sonnet-20240229.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: claude-3-sonnet-20240229
-label:
-  en_US: claude-3-sonnet-20240229
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '3.00'
-  output: '15.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.2.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.2.yaml
deleted file mode 100644
index ac69bbf4d2..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.2.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: claude-instant-1.2
-label:
-  en_US: claude-instant-1.2
-model_type: llm
-features: [ ]
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '1.63'
-  output: '5.51'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.yaml b/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.yaml
deleted file mode 100644
index 5e76d5b1c2..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: claude-instant-1
-label:
-  en_US: claude-instant-1
-model_type: llm
-features: [ ]
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens_to_sample
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '1.63'
-  output: '5.51'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/llm.py b/api/core/model_runtime/model_providers/anthropic/llm/llm.py
deleted file mode 100644
index c0ea8c6325..0000000000
--- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py
+++ /dev/null
@@ -1,654 +0,0 @@
-import base64
-import json
-from collections.abc import Generator, Sequence
-from typing import Optional, Union, cast
-
-import anthropic
-import requests
-from anthropic import Anthropic, Stream
-from anthropic.types import (
-    ContentBlockDeltaEvent,
-    Message,
-    MessageDeltaEvent,
-    MessageStartEvent,
-    MessageStopEvent,
-    MessageStreamEvent,
-    completion_create_params,
-)
-from anthropic.types.beta.tools import ToolsBetaMessage
-from httpx import Timeout
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities import (
-    AssistantPromptMessage,
-    DocumentPromptMessageContent,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-ANTHROPIC_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-
-class AnthropicLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke model
-        return self._chat_generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: Sequence[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[Sequence[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm chat model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # transform model parameters from completion api of anthropic to chat api
-        if "max_tokens_to_sample" in model_parameters:
-            model_parameters["max_tokens"] = model_parameters.pop("max_tokens_to_sample")
-
-        # init model client
-        client = Anthropic(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-        if stop:
-            extra_model_kwargs["stop_sequences"] = stop
-
-        if user:
-            extra_model_kwargs["metadata"] = completion_create_params.Metadata(user_id=user)
-
-        system, prompt_message_dicts = self._convert_prompt_messages(prompt_messages)
-
-        if system:
-            extra_model_kwargs["system"] = system
-
-        # Add the new header for claude-3-5-sonnet-20240620 model
-        extra_headers = {}
-        if model == "claude-3-5-sonnet-20240620":
-            if model_parameters.get("max_tokens", 0) > 4096:
-                extra_headers["anthropic-beta"] = "max-tokens-3-5-sonnet-2024-07-15"
-
-        if any(
-            isinstance(content, DocumentPromptMessageContent)
-            for prompt_message in prompt_messages
-            if isinstance(prompt_message.content, list)
-            for content in prompt_message.content
-        ):
-            extra_headers["anthropic-beta"] = "pdfs-2024-09-25"
-
-        if tools:
-            extra_model_kwargs["tools"] = [self._transform_tool_prompt(tool) for tool in tools]
-            response = client.beta.tools.messages.create(
-                model=model,
-                messages=prompt_message_dicts,
-                stream=stream,
-                extra_headers=extra_headers,
-                **model_parameters,
-                **extra_model_kwargs,
-            )
-        else:
-            # chat model
-            response = client.messages.create(
-                model=model,
-                messages=prompt_message_dicts,
-                stream=stream,
-                extra_headers=extra_headers,
-                **model_parameters,
-                **extra_model_kwargs,
-            )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_chat_generate_response(model, credentials, response, prompt_messages)
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        if model_parameters.get("response_format"):
-            stop = stop or []
-            # chat model
-            self._transform_chat_json_prompts(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-                response_format=model_parameters["response_format"],
-            )
-            model_parameters.pop("response_format")
-
-        return self._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _transform_tool_prompt(self, tool: PromptMessageTool) -> dict:
-        return {"name": tool.name, "description": tool.description, "input_schema": tool.parameters}
-
-    def _transform_chat_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts
-        """
-        if "```\n" not in stop:
-            stop.append("```\n")
-        if "\n```" not in stop:
-            stop.append("\n```")
-
-        # check if there is a system message
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            # override the system message
-            prompt_messages[0] = SystemPromptMessage(
-                content=ANTHROPIC_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-        else:
-            # insert the system message
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=ANTHROPIC_BLOCK_MODE_PROMPT.replace(
-                        "{{instructions}}", f"Please output a valid {response_format} object."
-                    ).replace("{{block}}", response_format)
-                ),
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        prompt = self._convert_messages_to_prompt_anthropic(prompt_messages)
-
-        client = Anthropic(api_key="")
-        tokens = client.count_tokens(prompt)
-
-        tool_call_inner_prompts_tokens_map = {
-            "claude-3-opus-20240229": 395,
-            "claude-3-haiku-20240307": 264,
-            "claude-3-sonnet-20240229": 159,
-        }
-
-        if model in tool_call_inner_prompts_tokens_map and tools:
-            tokens += tool_call_inner_prompts_tokens_map[model]
-
-        return tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._chat_generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[
-                    UserPromptMessage(content="ping"),
-                ],
-                model_parameters={
-                    "temperature": 0,
-                    "max_tokens": 20,
-                },
-                stream=False,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Union[Message, ToolsBetaMessage],
-        prompt_messages: list[PromptMessage],
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content="", tool_calls=[])
-
-        for content in response.content:
-            if content.type == "text":
-                assistant_prompt_message.content += content.text
-            elif content.type == "tool_use":
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=content.id,
-                    type="function",
-                    function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                        name=content.name, arguments=json.dumps(content.input)
-                    ),
-                )
-                assistant_prompt_message.tool_calls.append(tool_call)
-
-        # calculate num tokens
-        prompt_tokens = (response.usage and response.usage.input_tokens) or self.get_num_tokens(
-            model, credentials, prompt_messages
-        )
-
-        completion_tokens = (response.usage and response.usage.output_tokens) or self.get_num_tokens(
-            model, credentials, [assistant_prompt_message]
-        )
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=response.model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage
-        )
-
-        return response
-
-    def _handle_chat_generate_stream_response(
-        self, model: str, credentials: dict, response: Stream[MessageStreamEvent], prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        return_model = None
-        input_tokens = 0
-        output_tokens = 0
-        finish_reason = None
-        index = 0
-
-        tool_calls: list[AssistantPromptMessage.ToolCall] = []
-
-        for chunk in response:
-            if isinstance(chunk, MessageStartEvent):
-                if hasattr(chunk, "content_block"):
-                    content_block = chunk.content_block
-                    if isinstance(content_block, dict):
-                        if content_block.get("type") == "tool_use":
-                            tool_call = AssistantPromptMessage.ToolCall(
-                                id=content_block.get("id"),
-                                type="function",
-                                function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                    name=content_block.get("name"), arguments=""
-                                ),
-                            )
-                            tool_calls.append(tool_call)
-                elif hasattr(chunk, "delta"):
-                    delta = chunk.delta
-                    if isinstance(delta, dict) and len(tool_calls) > 0:
-                        if delta.get("type") == "input_json_delta":
-                            tool_calls[-1].function.arguments += delta.get("partial_json", "")
-                elif chunk.message:
-                    return_model = chunk.message.model
-                    input_tokens = chunk.message.usage.input_tokens
-            elif isinstance(chunk, MessageDeltaEvent):
-                output_tokens = chunk.usage.output_tokens
-                finish_reason = chunk.delta.stop_reason
-            elif isinstance(chunk, MessageStopEvent):
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, input_tokens, output_tokens)
-
-                # transform empty tool call arguments to {}
-                for tool_call in tool_calls:
-                    if not tool_call.function.arguments:
-                        tool_call.function.arguments = "{}"
-
-                yield LLMResultChunk(
-                    model=return_model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index + 1,
-                        message=AssistantPromptMessage(content="", tool_calls=tool_calls),
-                        finish_reason=finish_reason,
-                        usage=usage,
-                    ),
-                )
-            elif isinstance(chunk, ContentBlockDeltaEvent):
-                chunk_text = chunk.delta.text or ""
-                full_assistant_content += chunk_text
-
-                # transform assistant message to prompt message
-                assistant_prompt_message = AssistantPromptMessage(content=chunk_text)
-
-                index = chunk.index
-
-                yield LLMResultChunk(
-                    model=return_model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["anthropic_api_key"],
-            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
-            "max_retries": 1,
-        }
-
-        if credentials.get("anthropic_api_url"):
-            credentials["anthropic_api_url"] = credentials["anthropic_api_url"].rstrip("/")
-            credentials_kwargs["base_url"] = credentials["anthropic_api_url"]
-
-        return credentials_kwargs
-
-    def _convert_prompt_messages(self, prompt_messages: Sequence[PromptMessage]) -> tuple[str, list[dict]]:
-        """
-        Convert prompt messages to dict list and system
-        """
-        system = ""
-        first_loop = True
-        for message in prompt_messages:
-            if isinstance(message, SystemPromptMessage):
-                if isinstance(message.content, str):
-                    message.content = message.content.strip()
-                elif isinstance(message.content, list):
-                    # System prompt only support text
-                    message.content = "".join(
-                        c.data.strip() for c in message.content if isinstance(c, TextPromptMessageContent)
-                    )
-                else:
-                    raise ValueError(f"Unknown system prompt message content type {type(message.content)}")
-                if first_loop:
-                    system = message.content
-                    first_loop = False
-                else:
-                    system += "\n"
-                    system += message.content
-
-        prompt_message_dicts = []
-        for message in prompt_messages:
-            if not isinstance(message, SystemPromptMessage):
-                if isinstance(message, UserPromptMessage):
-                    message = cast(UserPromptMessage, message)
-                    if isinstance(message.content, str):
-                        # handle empty user prompt see #10013 #10520
-                        # responses, ignore user prompts containing only whitespace, the Claude API can't handle it.
-                        if not message.content.strip():
-                            continue
-                        message_dict = {"role": "user", "content": message.content}
-                        prompt_message_dicts.append(message_dict)
-                    else:
-                        sub_messages = []
-                        for message_content in message.content:
-                            if message_content.type == PromptMessageContentType.TEXT:
-                                message_content = cast(TextPromptMessageContent, message_content)
-                                sub_message_dict = {"type": "text", "text": message_content.data}
-                                sub_messages.append(sub_message_dict)
-                            elif message_content.type == PromptMessageContentType.IMAGE:
-                                message_content = cast(ImagePromptMessageContent, message_content)
-                                if not message_content.base64_data:
-                                    # fetch image data from url
-                                    try:
-                                        image_content = requests.get(message_content.url).content
-                                        base64_data = base64.b64encode(image_content).decode("utf-8")
-                                    except Exception as ex:
-                                        raise ValueError(
-                                            f"Failed to fetch image data from url {message_content.data}, {ex}"
-                                        )
-                                else:
-                                    base64_data = message_content.base64_data
-
-                                mime_type = message_content.mime_type
-                                if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}:
-                                    raise ValueError(
-                                        f"Unsupported image type {mime_type}, "
-                                        f"only support image/jpeg, image/png, image/gif, and image/webp"
-                                    )
-
-                                sub_message_dict = {
-                                    "type": "image",
-                                    "source": {"type": "base64", "media_type": mime_type, "data": base64_data},
-                                }
-                                sub_messages.append(sub_message_dict)
-                            elif isinstance(message_content, DocumentPromptMessageContent):
-                                if message_content.mime_type != "application/pdf":
-                                    raise ValueError(
-                                        f"Unsupported document type {message_content.mime_type}, "
-                                        "only support application/pdf"
-                                    )
-                                sub_message_dict = {
-                                    "type": "document",
-                                    "source": {
-                                        "type": "base64",
-                                        "media_type": message_content.mime_type,
-                                        "data": message_content.base64_data,
-                                    },
-                                }
-                                sub_messages.append(sub_message_dict)
-                        prompt_message_dicts.append({"role": "user", "content": sub_messages})
-                elif isinstance(message, AssistantPromptMessage):
-                    message = cast(AssistantPromptMessage, message)
-                    content = []
-                    if message.tool_calls:
-                        for tool_call in message.tool_calls:
-                            content.append(
-                                {
-                                    "type": "tool_use",
-                                    "id": tool_call.id,
-                                    "name": tool_call.function.name,
-                                    "input": json.loads(tool_call.function.arguments),
-                                }
-                            )
-                    if message.content:
-                        content.append({"type": "text", "text": message.content})
-
-                    if prompt_message_dicts[-1]["role"] == "assistant":
-                        prompt_message_dicts[-1]["content"].extend(content)
-                    else:
-                        prompt_message_dicts.append({"role": "assistant", "content": content})
-                elif isinstance(message, ToolPromptMessage):
-                    message = cast(ToolPromptMessage, message)
-                    message_dict = {
-                        "role": "user",
-                        "content": [
-                            {"type": "tool_result", "tool_use_id": message.tool_call_id, "content": message.content}
-                        ],
-                    }
-                    prompt_message_dicts.append(message_dict)
-                else:
-                    raise ValueError(f"Got unknown type {message}")
-
-        return system, prompt_message_dicts
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-            if not isinstance(message.content, list):
-                message_text = f"{ai_prompt} {content}"
-            else:
-                message_text = ""
-                for sub_message in message.content:
-                    if sub_message.type == PromptMessageContentType.TEXT:
-                        message_text += f"{human_prompt} {sub_message.data}"
-                    elif sub_message.type == PromptMessageContentType.IMAGE:
-                        message_text += f"{human_prompt} [IMAGE]"
-        elif isinstance(message, AssistantPromptMessage):
-            if not isinstance(message.content, list):
-                message_text = f"{ai_prompt} {content}"
-            else:
-                message_text = ""
-                for sub_message in message.content:
-                    if sub_message.type == PromptMessageContentType.TEXT:
-                        message_text += f"{ai_prompt} {sub_message.data}"
-                    elif sub_message.type == PromptMessageContentType.IMAGE:
-                        message_text += f"{ai_prompt} [IMAGE]"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = content
-        elif isinstance(message, ToolPromptMessage):
-            message_text = f"{human_prompt} {message.content}"
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _convert_messages_to_prompt_anthropic(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Anthropic model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        if not messages:
-            return ""
-
-        messages = messages.copy()  # don't mutate the original list
-        if not isinstance(messages[-1], AssistantPromptMessage):
-            messages.append(AssistantPromptMessage(content=""))
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [anthropic.APIConnectionError, anthropic.APITimeoutError],
-            InvokeServerUnavailableError: [anthropic.InternalServerError],
-            InvokeRateLimitError: [anthropic.RateLimitError],
-            InvokeAuthorizationError: [anthropic.AuthenticationError, anthropic.PermissionDeniedError],
-            InvokeBadRequestError: [
-                anthropic.BadRequestError,
-                anthropic.NotFoundError,
-                anthropic.UnprocessableEntityError,
-                anthropic.APIError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/azure_ai_studio/_assets/icon_l_en.png
deleted file mode 100644
index 4b941654a78c1593450d336c2d784d45179f0e3e..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.py b/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.py
deleted file mode 100644
index 75d21d1ce9..0000000000
--- a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class AzureAIStudioProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        pass
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml b/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
deleted file mode 100644
index 6d9516b671..0000000000
--- a/api/core/model_runtime/model_providers/azure_ai_studio/azure_ai_studio.yaml
+++ /dev/null
@@ -1,99 +0,0 @@
-provider: azure_ai_studio
-label:
-  zh_Hans: Azure AI Studio
-  en_US: Azure AI Studio
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-description:
-  en_US: Azure AI Studio
-  zh_Hans: Azure AI Studio
-background: "#93c5fd"
-help:
-  title:
-    en_US: How to deploy customized model on Azure AI Studio
-    zh_Hans: 如何在Azure AI Studio上的私有化部署的模型
-  url:
-    en_US: https://learn.microsoft.com/en-us/azure/ai-studio/how-to/deploy-models
-    zh_Hans: https://learn.microsoft.com/zh-cn/azure/ai-studio/how-to/deploy-models
-supported_model_types:
-  - llm
-  - rerank
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: endpoint
-      label:
-        en_US: Azure AI Studio Endpoint
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 请输入你的Azure AI Studio推理端点
-        en_US: 'Enter your API Endpoint, eg: https://example.com'
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-        zh_Hans: API Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Azure AI Studio API Key
-        zh_Hans: 在此输入您的 Azure AI Studio API Key
-      show_on:
-        - variable: __model_type
-          value: llm
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      show_on:
-        - variable: __model_type
-          value: llm
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: jwt_token
-      required: true
-      label:
-        en_US: JWT Token
-        zh_Hans: JWT令牌
-      type: secret-input
-      placeholder:
-        en_US: Enter your Azure AI Studio JWT Token
-        zh_Hans: 在此输入您的 Azure AI Studio 推理 API Key
-      show_on:
-        - variable: __model_type
-          value: rerank
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py b/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
deleted file mode 100644
index 97c88d0756..0000000000
--- a/api/core/model_runtime/model_providers/azure_ai_studio/llm/llm.py
+++ /dev/null
@@ -1,345 +0,0 @@
-import logging
-from collections.abc import Generator, Sequence
-from typing import Any, Optional, Union
-
-from azure.ai.inference import ChatCompletionsClient
-from azure.ai.inference.models import StreamingChatCompletionsUpdate, SystemMessage, UserMessage
-from azure.core.credentials import AzureKeyCredential
-from azure.core.exceptions import (
-    ClientAuthenticationError,
-    DecodeError,
-    DeserializationError,
-    HttpResponseError,
-    ResourceExistsError,
-    ResourceModifiedError,
-    ResourceNotFoundError,
-    ResourceNotModifiedError,
-    SerializationError,
-    ServiceRequestError,
-    ServiceResponseError,
-)
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    I18nObject,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-
-class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
-    """
-    Model class for Azure AI Studio large language model.
-    """
-
-    client: Any = None
-
-    from azure.ai.inference.models import StreamingChatCompletionsUpdate
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: Sequence[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[Sequence[PromptMessageTool]] = None,
-        stop: Optional[Sequence[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        if not self.client:
-            endpoint = str(credentials.get("endpoint"))
-            api_key = str(credentials.get("api_key"))
-            self.client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
-
-        messages = [{"role": msg.role.value, "content": msg.content} for msg in prompt_messages]
-
-        payload = {
-            "messages": messages,
-            "max_tokens": model_parameters.get("max_tokens", 4096),
-            "temperature": model_parameters.get("temperature", 0),
-            "top_p": model_parameters.get("top_p", 1),
-            "stream": stream,
-            "model": model,
-        }
-
-        if stop:
-            payload["stop"] = stop
-
-        if tools:
-            payload["tools"] = [tool.model_dump() for tool in tools]
-
-        try:
-            response = self.client.complete(**payload)
-
-            if stream:
-                return self._handle_stream_response(response, model, prompt_messages)
-            else:
-                return self._handle_non_stream_response(response, model, prompt_messages, credentials)
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-    def _handle_stream_response(self, response, model: str, prompt_messages: list[PromptMessage]) -> Generator:
-        for chunk in response:
-            if isinstance(chunk, StreamingChatCompletionsUpdate):
-                if chunk.choices:
-                    delta = chunk.choices[0].delta
-                    if delta.content:
-                        yield LLMResultChunk(
-                            model=model,
-                            prompt_messages=prompt_messages,
-                            delta=LLMResultChunkDelta(
-                                index=0,
-                                message=AssistantPromptMessage(content=delta.content, tool_calls=[]),
-                            ),
-                        )
-
-    def _handle_non_stream_response(
-        self, response, model: str, prompt_messages: list[PromptMessage], credentials: dict
-    ) -> LLMResult:
-        assistant_text = response.choices[0].message.content
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_text)
-        usage = self._calc_response_usage(
-            model, credentials, response.usage.prompt_tokens, response.usage.completion_tokens
-        )
-        result = LLMResult(model=model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage)
-
-        if hasattr(response, "system_fingerprint"):
-            result.system_fingerprint = response.system_fingerprint
-
-        return result
-
-    def _invoke_result_generator(
-        self,
-        model: str,
-        result: Generator,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Generator:
-        """
-        Invoke result generator
-
-        :param result: result generator
-        :return: result generator
-        """
-        callbacks = callbacks or []
-        prompt_message = AssistantPromptMessage(content="")
-        usage = None
-        system_fingerprint = None
-        real_model = model
-
-        try:
-            for chunk in result:
-                if isinstance(chunk, dict):
-                    content = chunk["choices"][0]["message"]["content"]
-                    usage = chunk["usage"]
-                    chunk = LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=0,
-                            message=AssistantPromptMessage(content=content, tool_calls=[]),
-                        ),
-                        system_fingerprint=chunk.get("system_fingerprint"),
-                    )
-
-                yield chunk
-
-                self._trigger_new_chunk_callbacks(
-                    chunk=chunk,
-                    model=model,
-                    credentials=credentials,
-                    prompt_messages=prompt_messages,
-                    model_parameters=model_parameters,
-                    tools=tools,
-                    stop=stop,
-                    stream=stream,
-                    user=user,
-                    callbacks=callbacks,
-                )
-
-                prompt_message.content += chunk.delta.message.content
-                real_model = chunk.model
-                if hasattr(chunk.delta, "usage"):
-                    usage = chunk.delta.usage
-
-                if chunk.system_fingerprint:
-                    system_fingerprint = chunk.system_fingerprint
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-        self._trigger_after_invoke_callbacks(
-            model=model,
-            result=LLMResult(
-                model=real_model,
-                prompt_messages=prompt_messages,
-                message=prompt_message,
-                usage=usage or LLMUsage.empty_usage(),
-                system_fingerprint=system_fingerprint,
-            ),
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-            callbacks=callbacks,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # Implement token counting logic here
-        # Might need to use a tokenizer specific to the Azure AI Studio model
-        return 0
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            endpoint = str(credentials.get("endpoint"))
-            api_key = str(credentials.get("api_key"))
-            client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
-            client.complete(
-                messages=[
-                    SystemMessage(content="I say 'ping', you say 'pong'"),
-                    UserMessage(content="ping"),
-                ],
-                model=model,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                ServiceRequestError,
-            ],
-            InvokeServerUnavailableError: [
-                ServiceResponseError,
-            ],
-            InvokeAuthorizationError: [
-                ClientAuthenticationError,
-            ],
-            InvokeBadRequestError: [
-                HttpResponseError,
-                DecodeError,
-                ResourceExistsError,
-                ResourceNotFoundError,
-                ResourceModifiedError,
-                ResourceNotModifiedError,
-                SerializationError,
-                DeserializationError,
-            ],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        Used to define customizable model schema
-        """
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            features=[],
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")),
-                ModelPropertyKey.MODE: credentials.get("mode", LLMMode.CHAT),
-            },
-            parameter_rules=rules,
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py b/api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py
deleted file mode 100644
index 9b75285e40..0000000000
--- a/api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py
+++ /dev/null
@@ -1,164 +0,0 @@
-import json
-import logging
-import os
-import ssl
-import urllib.request
-from typing import Optional
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-logger = logging.getLogger(__name__)
-
-
-class AzureRerankModel(RerankModel):
-    """
-    Model class for Azure AI Studio rerank model.
-    """
-
-    def _allow_self_signed_https(self, allowed):
-        # bypass the server certificate verification on client side
-        if allowed and not os.environ.get("PYTHONHTTPSVERIFY", "") and getattr(ssl, "_create_unverified_context", None):
-            ssl._create_default_https_context = ssl._create_unverified_context
-
-    def _azure_rerank(self, query_input: str, docs: list[str], endpoint: str, api_key: str):
-        #   self._allow_self_signed_https(True)  # Enable if using self-signed certificate
-
-        data = {"inputs": query_input, "docs": docs}
-
-        body = json.dumps(data).encode("utf-8")
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
-
-        req = urllib.request.Request(endpoint, body, headers)
-
-        try:
-            with urllib.request.urlopen(req) as response:
-                result = response.read()
-                return json.loads(result)
-        except urllib.error.HTTPError as error:
-            logger.exception(f"The request failed with status code: {error.code}")
-            logger.exception(error.info())
-            logger.exception(error.read().decode("utf8", "ignore"))
-            raise
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        try:
-            if len(docs) == 0:
-                return RerankResult(model=model, docs=[])
-
-            endpoint = credentials.get("endpoint")
-            api_key = credentials.get("jwt_token")
-
-            if not endpoint or not api_key:
-                raise ValueError("Azure endpoint and API key must be provided in credentials")
-
-            result = self._azure_rerank(query, docs, endpoint, api_key)
-            logger.info(f"Azure rerank result: {result}")
-
-            rerank_documents = []
-            for idx, (doc, score_dict) in enumerate(zip(docs, result)):
-                score = score_dict["score"]
-                rerank_document = RerankDocument(index=idx, text=doc, score=score)
-
-                if score_threshold is None or score >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            rerank_documents.sort(key=lambda x: x.score, reverse=True)
-
-            if top_n:
-                rerank_documents = rerank_documents[:top_n]
-
-            return RerankResult(model=model, docs=rerank_documents)
-
-        except Exception as e:
-            logger.exception(f"Failed to invoke rerank model, model: {model}")
-            raise
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [urllib.error.URLError],
-            InvokeServerUnavailableError: [urllib.error.HTTPError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError, json.JSONDecodeError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.RERANK,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/azure_openai/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/azure_openai/_assets/icon_l_en.png
deleted file mode 100644
index 0791a67911ec40247c40bf13a2ba2d2512e013b9..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/model_runtime/model_providers/azure_openai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/azure_openai/_assets/icon_s_en.svg
deleted file mode 100644
index df1f54f36e..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<svg width="21" height="22" viewBox="0 0 21 22" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g id="Microsoft">
-<rect id="Rectangle 1010" y="0.5" width="10" height="10" fill="#EF4F21"/>
-<rect id="Rectangle 1012" y="11.5" width="10" height="10" fill="#03A4EE"/>
-<rect id="Rectangle 1011" x="11" y="0.5" width="10" height="10" fill="#7EB903"/>
-<rect id="Rectangle 1013" x="11" y="11.5" width="10" height="10" fill="#FBB604"/>
-</g>
-</svg>
diff --git a/api/core/model_runtime/model_providers/azure_openai/_common.py b/api/core/model_runtime/model_providers/azure_openai/_common.py
deleted file mode 100644
index 32a0269af4..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/_common.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import openai
-from httpx import Timeout
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.model_providers.azure_openai._constant import AZURE_OPENAI_API_VERSION
-
-
-class _CommonAzureOpenAI:
-    @staticmethod
-    def _to_credential_kwargs(credentials: dict) -> dict:
-        api_version = credentials.get("openai_api_version", AZURE_OPENAI_API_VERSION)
-        credentials_kwargs = {
-            "api_key": credentials["openai_api_key"],
-            "azure_endpoint": credentials["openai_api_base"],
-            "api_version": api_version,
-            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
-            "max_retries": 1,
-        }
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
-            InvokeServerUnavailableError: [openai.InternalServerError],
-            InvokeRateLimitError: [openai.RateLimitError],
-            InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
-            InvokeBadRequestError: [
-                openai.BadRequestError,
-                openai.NotFoundError,
-                openai.UnprocessableEntityError,
-                openai.APIError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/azure_openai/_constant.py b/api/core/model_runtime/model_providers/azure_openai/_constant.py
deleted file mode 100644
index 3bd6375aa9..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/_constant.py
+++ /dev/null
@@ -1,1422 +0,0 @@
-from pydantic import BaseModel
-
-from core.model_runtime.entities.defaults import PARAMETER_RULE_TEMPLATE
-from core.model_runtime.entities.llm_entities import LLMMode
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    I18nObject,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    PriceConfig,
-)
-
-AZURE_OPENAI_API_VERSION = "2024-02-15-preview"
-
-AZURE_DEFAULT_PARAM_SEED_HELP = I18nObject(
-    zh_Hans="如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，"
-    "您应该参考 system_fingerprint 响应参数来监视变化。",
-    en_US="If specified, model will make a best effort to sample deterministically,"
-    " such that repeated requests with the same seed and parameters should return the same result."
-    " Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter"
-    " to monitor changes in the backend.",
-)
-
-
-def _get_max_tokens(default: int, min_val: int, max_val: int) -> ParameterRule:
-    rule = ParameterRule(
-        name="max_tokens",
-        **PARAMETER_RULE_TEMPLATE[DefaultParameterName.MAX_TOKENS],
-    )
-    rule.default = default
-    rule.min = min_val
-    rule.max = max_val
-    return rule
-
-
-def _get_o1_max_tokens(default: int, min_val: int, max_val: int) -> ParameterRule:
-    rule = ParameterRule(
-        name="max_completion_tokens",
-        **PARAMETER_RULE_TEMPLATE[DefaultParameterName.MAX_TOKENS],
-    )
-    rule.default = default
-    rule.min = min_val
-    rule.max = max_val
-    return rule
-
-
-class AzureBaseModel(BaseModel):
-    base_model_name: str
-    entity: AIModelEntity
-
-
-LLM_BASE_MODELS = [
-    AzureBaseModel(
-        base_model_name="gpt-35-turbo",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 16385,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.0005,
-                output=0.0015,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-35-turbo-16k",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 16385,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=16385),
-            ],
-            pricing=PriceConfig(
-                input=0.003,
-                output=0.004,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-35-turbo-0125",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 16385,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.0005,
-                output=0.0015,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 8192,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=8192),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.03,
-                output=0.06,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-32k",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 32768,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=32768),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.06,
-                output=0.12,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-0125-preview",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.01,
-                output=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-1106-preview",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.01,
-                output=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o-mini",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=16384),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.150,
-                output=0.600,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o-mini-2024-07-18",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=16384),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object", "json_schema"],
-                ),
-                ParameterRule(
-                    name="json_schema",
-                    label=I18nObject(en_US="JSON Schema"),
-                    type="text",
-                    help=I18nObject(
-                        zh_Hans="设置返回的json schema，llm将按照它返回",
-                        en_US="Set a response json schema will ensure LLM to adhere it.",
-                    ),
-                    required=False,
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.150,
-                output=0.600,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=5.00,
-                output=15.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o-2024-05-13",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=5.00,
-                output=15.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o-2024-08-06",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=16384),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object", "json_schema"],
-                ),
-                ParameterRule(
-                    name="json_schema",
-                    label=I18nObject(en_US="JSON Schema"),
-                    type="text",
-                    help=I18nObject(
-                        zh_Hans="设置返回的json schema，llm将按照它返回",
-                        en_US="Set a response json schema will ensure LLM to adhere it.",
-                    ),
-                    required=False,
-                ),
-            ],
-            pricing=PriceConfig(
-                input=5.00,
-                output=15.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4o-2024-11-20",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=16384),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object", "json_schema"],
-                ),
-                ParameterRule(
-                    name="json_schema",
-                    label=I18nObject(en_US="JSON Schema"),
-                    type="text",
-                    help=I18nObject(
-                        zh_Hans="设置返回的json schema，llm将按照它返回",
-                        en_US="Set a response json schema will ensure LLM to adhere it.",
-                    ),
-                    required=False,
-                ),
-            ],
-            pricing=PriceConfig(
-                input=5.00,
-                output=15.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-turbo",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.01,
-                output=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-turbo-2024-04-09",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.01,
-                output=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-4-vision-preview",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.VISION],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(zh_Hans="种子", en_US="Seed"),
-                    type="int",
-                    help=AZURE_DEFAULT_PARAM_SEED_HELP,
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.01,
-                output=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="gpt-35-turbo-instruct",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.COMPLETION.value,
-                ModelPropertyKey.CONTEXT_SIZE: 4096,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-            ],
-            pricing=PriceConfig(
-                input=0.0015,
-                output=0.002,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="text-davinci-003",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.COMPLETION.value,
-                ModelPropertyKey.CONTEXT_SIZE: 4096,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name="top_p",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-            ],
-            pricing=PriceConfig(
-                input=0.02,
-                output=0.02,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="o1-preview",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-                _get_o1_max_tokens(default=512, min_val=1, max_val=32768),
-            ],
-            pricing=PriceConfig(
-                input=15.00,
-                output=60.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="o1-mini",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(
-                en_US="fake-deployment-name-label",
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="response_format",
-                    label=I18nObject(zh_Hans="回复格式", en_US="response_format"),
-                    type="string",
-                    help=I18nObject(
-                        zh_Hans="指定模型必须输出的格式", en_US="specifying the format that the model must output"
-                    ),
-                    required=False,
-                    options=["text", "json_object"],
-                ),
-                _get_o1_max_tokens(default=512, min_val=1, max_val=65536),
-            ],
-            pricing=PriceConfig(
-                input=3.00,
-                output=12.00,
-                unit=0.000001,
-                currency="USD",
-            ),
-        ),
-    ),
-]
-EMBEDDING_BASE_MODELS = [
-    AzureBaseModel(
-        base_model_name="text-embedding-ada-002",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: 8097,
-                ModelPropertyKey.MAX_CHUNKS: 32,
-            },
-            pricing=PriceConfig(
-                input=0.0001,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="text-embedding-3-small",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: 8191,
-                ModelPropertyKey.MAX_CHUNKS: 32,
-            },
-            pricing=PriceConfig(
-                input=0.00002,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="text-embedding-3-large",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: 8191,
-                ModelPropertyKey.MAX_CHUNKS: 32,
-            },
-            pricing=PriceConfig(
-                input=0.00013,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-]
-SPEECH2TEXT_BASE_MODELS = [
-    AzureBaseModel(
-        base_model_name="whisper-1",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={
-                ModelPropertyKey.FILE_UPLOAD_LIMIT: 25,
-                ModelPropertyKey.SUPPORTED_FILE_EXTENSIONS: "flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm",
-            },
-        ),
-    )
-]
-TTS_BASE_MODELS = [
-    AzureBaseModel(
-        base_model_name="tts-1",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TTS,
-            model_properties={
-                ModelPropertyKey.DEFAULT_VOICE: "alloy",
-                ModelPropertyKey.VOICES: [
-                    {
-                        "mode": "alloy",
-                        "name": "Alloy",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "echo",
-                        "name": "Echo",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "fable",
-                        "name": "Fable",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "onyx",
-                        "name": "Onyx",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "nova",
-                        "name": "Nova",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "shimmer",
-                        "name": "Shimmer",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                ],
-                ModelPropertyKey.WORD_LIMIT: 120,
-                ModelPropertyKey.AUDIO_TYPE: "mp3",
-                ModelPropertyKey.MAX_WORKERS: 5,
-            },
-            pricing=PriceConfig(
-                input=0.015,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-    AzureBaseModel(
-        base_model_name="tts-1-hd",
-        entity=AIModelEntity(
-            model="fake-deployment-name",
-            label=I18nObject(en_US="fake-deployment-name-label"),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TTS,
-            model_properties={
-                ModelPropertyKey.DEFAULT_VOICE: "alloy",
-                ModelPropertyKey.VOICES: [
-                    {
-                        "mode": "alloy",
-                        "name": "Alloy",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "echo",
-                        "name": "Echo",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "fable",
-                        "name": "Fable",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "onyx",
-                        "name": "Onyx",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "nova",
-                        "name": "Nova",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                    {
-                        "mode": "shimmer",
-                        "name": "Shimmer",
-                        "language": ["zh-Hans", "en-US", "de-DE", "fr-FR", "es-ES", "it-IT", "th-TH", "id-ID"],
-                    },
-                ],
-                ModelPropertyKey.WORD_LIMIT: 120,
-                ModelPropertyKey.AUDIO_TYPE: "mp3",
-                ModelPropertyKey.MAX_WORKERS: 5,
-            },
-            pricing=PriceConfig(
-                input=0.03,
-                unit=0.001,
-                currency="USD",
-            ),
-        ),
-    ),
-]
diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.py b/api/core/model_runtime/model_providers/azure_openai/azure_openai.py
deleted file mode 100644
index 2e3c6aab05..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class AzureOpenAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
deleted file mode 100644
index c3ba180aae..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
+++ /dev/null
@@ -1,269 +0,0 @@
-provider: azure_openai
-label:
-  en_US: Azure OpenAI Service Model
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#E3F0FF"
-help:
-  title:
-    en_US: Get your API key from Azure
-    zh_Hans: 从 Azure 获取 API Key
-  url:
-    en_US: https://azure.microsoft.com/en-us/products/ai-services/openai-service
-supported_model_types:
-  - llm
-  - text-embedding
-  - speech2text
-  - tts
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Deployment Name
-      zh_Hans: 部署名称
-    placeholder:
-      en_US: Enter your Deployment Name here, matching the Azure deployment name.
-      zh_Hans: 在此输入您的部署名称，与 Azure 部署名称匹配。
-  credential_form_schemas:
-    - variable: openai_api_base
-      label:
-        en_US: API Endpoint URL
-        zh_Hans: API 域名
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: '在此输入您的 API 域名，如：https://example.com/xxx'
-        en_US: 'Enter your API Endpoint, eg: https://example.com/xxx'
-    - variable: openai_api_key
-      label:
-        en_US: API Key
-        zh_Hans: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API key here
-    - variable: openai_api_version
-      label:
-        zh_Hans: API 版本
-        en_US: API Version
-      type: select
-      required: true
-      options:
-        - label:
-            en_US: 2024-12-01-preview
-          value: 2024-12-01-preview
-        - label:
-            en_US: 2024-10-01-preview
-          value: 2024-10-01-preview
-        - label:
-            en_US: 2024-09-01-preview
-          value: 2024-09-01-preview
-        - label:
-            en_US: 2024-08-01-preview
-          value: 2024-08-01-preview
-        - label:
-            en_US: 2024-07-01-preview
-          value: 2024-07-01-preview
-        - label:
-            en_US: 2024-05-01-preview
-          value: 2024-05-01-preview
-        - label:
-            en_US: 2024-04-01-preview
-          value: 2024-04-01-preview
-        - label:
-            en_US: 2024-03-01-preview
-          value: 2024-03-01-preview
-        - label:
-            en_US: 2024-02-15-preview
-          value: 2024-02-15-preview
-        - label:
-            en_US: 2023-12-01-preview
-          value: 2023-12-01-preview
-        - label:
-            en_US: '2024-02-01'
-          value: '2024-02-01'
-        - label:
-            en_US: '2024-06-01'
-          value: '2024-06-01'
-        - label:
-            en_US: '2024-10-21'
-          value: '2024-10-21'
-      placeholder:
-        zh_Hans: 在此选择您的 API 版本
-        en_US: Select your API Version here
-    - variable: base_model_name
-      label:
-        en_US: Base Model
-        zh_Hans: 基础模型
-      type: select
-      required: true
-      options:
-        - label:
-            en_US: gpt-35-turbo
-          value: gpt-35-turbo
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-35-turbo-0125
-          value: gpt-35-turbo-0125
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-35-turbo-16k
-          value: gpt-35-turbo-16k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4
-          value: gpt-4
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-32k
-          value: gpt-4-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: o1-mini
-          value: o1-mini
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: o3-mini
-          value: o3-mini
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: o3-mini-2025-01-31
-          value: o3-mini-2025-01-31
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: o1-preview
-          value: o1-preview
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o-mini
-          value: gpt-4o-mini
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o-mini-2024-07-18
-          value: gpt-4o-mini-2024-07-18
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o
-          value: gpt-4o
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o-2024-05-13
-          value: gpt-4o-2024-05-13
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o-2024-08-06
-          value: gpt-4o-2024-08-06
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4o-2024-11-20
-          value: gpt-4o-2024-11-20
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-turbo
-          value: gpt-4-turbo
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-turbo-2024-04-09
-          value: gpt-4-turbo-2024-04-09
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-0125-preview
-          value: gpt-4-0125-preview
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-1106-preview
-          value: gpt-4-1106-preview
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-4-vision-preview
-          value: gpt-4-vision-preview
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: gpt-35-turbo-instruct
-          value: gpt-35-turbo-instruct
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: text-embedding-ada-002
-          value: text-embedding-ada-002
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-        - label:
-            en_US: text-embedding-3-small
-          value: text-embedding-3-small
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-        - label:
-            en_US: text-embedding-3-large
-          value: text-embedding-3-large
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-        - label:
-            en_US: whisper-1
-          value: whisper-1
-          show_on:
-            - variable: __model_type
-              value: speech2text
-        - label:
-            en_US: tts-1
-          value: tts-1
-          show_on:
-            - variable: __model_type
-              value: tts
-        - label:
-            en_US: tts-1-hd
-          value: tts-1-hd
-          show_on:
-            - variable: __model_type
-              value: tts
-      placeholder:
-        zh_Hans: 在此输入您的模型版本
-        en_US: Enter your model version
diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
deleted file mode 100644
index be6f90bc07..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py
+++ /dev/null
@@ -1,770 +0,0 @@
-import copy
-import json
-import logging
-from collections.abc import Generator, Sequence
-from typing import Optional, Union, cast
-
-import tiktoken
-from openai import AzureOpenAI, Stream
-from openai.types import Completion
-from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall
-from openai.types.chat.chat_completion_chunk import ChoiceDeltaToolCall
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageFunction,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.azure_openai._common import _CommonAzureOpenAI
-from core.model_runtime.model_providers.azure_openai._constant import LLM_BASE_MODELS
-from core.model_runtime.utils import helper
-
-logger = logging.getLogger(__name__)
-
-
-class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        base_model_name = self._get_base_model_name(credentials)
-        ai_model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)
-
-        if ai_model_entity and ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value:
-            # chat model
-            return self._chat_generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-        else:
-            # text completion model
-            return self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        base_model_name = self._get_base_model_name(credentials)
-        model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)
-        if not model_entity:
-            raise ValueError(f"Base Model Name {base_model_name} is invalid")
-        model_mode = model_entity.entity.model_properties.get(ModelPropertyKey.MODE)
-
-        if model_mode == LLMMode.CHAT.value:
-            # chat model
-            return self._num_tokens_from_messages(credentials, prompt_messages, tools)
-        else:
-            # text completion model, do not support tool calling
-            content = prompt_messages[0].content
-            assert isinstance(content, str)
-            return self._num_tokens_from_string(credentials, content)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        if "openai_api_base" not in credentials:
-            raise CredentialsValidateFailedError("Azure OpenAI API Base Endpoint is required")
-
-        if "openai_api_key" not in credentials:
-            raise CredentialsValidateFailedError("Azure OpenAI API key is required")
-
-        if "base_model_name" not in credentials:
-            raise CredentialsValidateFailedError("Base Model Name is required")
-
-        base_model_name = self._get_base_model_name(credentials)
-        ai_model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)
-
-        if not ai_model_entity:
-            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
-
-        try:
-            client = AzureOpenAI(**self._to_credential_kwargs(credentials))
-
-            if model.startswith("o1"):
-                client.chat.completions.create(
-                    messages=[{"role": "user", "content": "ping"}],
-                    model=model,
-                    temperature=1,
-                    max_completion_tokens=20,
-                    stream=False,
-                )
-            elif ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value:
-                # chat model
-                client.chat.completions.create(
-                    messages=[{"role": "user", "content": "ping"}],
-                    model=model,
-                    temperature=0,
-                    max_tokens=20,
-                    stream=False,
-                )
-            else:
-                # text completion model
-                client.completions.create(
-                    prompt="ping",
-                    model=model,
-                    temperature=0,
-                    max_tokens=20,
-                    stream=False,
-                )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        base_model_name = self._get_base_model_name(credentials)
-        ai_model_entity = self._get_ai_model_entity(base_model_name=base_model_name, model=model)
-        return ai_model_entity.entity if ai_model_entity else None
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        client = AzureOpenAI(**self._to_credential_kwargs(credentials))
-
-        extra_model_kwargs = {}
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        # text completion model
-        response = client.completions.create(
-            prompt=prompt_messages[0].content, model=model, stream=stream, **model_parameters, **extra_model_kwargs
-        )
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: Completion, prompt_messages: list[PromptMessage]
-    ):
-        assistant_text = response.choices[0].text
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_text)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            content = prompt_messages[0].content
-            assert isinstance(content, str)
-            prompt_tokens = self._num_tokens_from_string(credentials, content)
-            completion_tokens = self._num_tokens_from_string(credentials, assistant_text)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=response.model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: Stream[Completion], prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        full_text = ""
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            if delta.finish_reason is None and (delta.text is None or delta.text == ""):
-                continue
-
-            # transform assistant message to prompt message
-            text = delta.text or ""
-            assistant_prompt_message = AssistantPromptMessage(content=text)
-
-            full_text += text
-
-            if delta.finish_reason is not None:
-                # calculate num tokens
-                if chunk.usage:
-                    # transform usage
-                    prompt_tokens = chunk.usage.prompt_tokens
-                    completion_tokens = chunk.usage.completion_tokens
-                else:
-                    # calculate num tokens
-                    content = prompt_messages[0].content
-                    assert isinstance(content, str)
-                    prompt_tokens = self._num_tokens_from_string(credentials, content)
-                    completion_tokens = self._num_tokens_from_string(credentials, full_text)
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        client = AzureOpenAI(**self._to_credential_kwargs(credentials))
-
-        response_format = model_parameters.get("response_format")
-        if response_format:
-            if response_format == "json_schema":
-                json_schema = model_parameters.get("json_schema")
-                if not json_schema:
-                    raise ValueError("Must define JSON Schema when the response format is json_schema")
-                try:
-                    schema = json.loads(json_schema)
-                except:
-                    raise ValueError(f"not correct json_schema format: {json_schema}")
-                model_parameters.pop("json_schema")
-                model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema}
-            else:
-                model_parameters["response_format"] = {"type": response_format}
-
-        extra_model_kwargs = {}
-
-        if tools:
-            extra_model_kwargs["tools"] = [helper.dump_model(PromptMessageFunction(function=tool)) for tool in tools]
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        # clear illegal prompt messages
-        prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
-
-        block_as_stream = False
-        if model.startswith("o1"):
-            if "max_tokens" in model_parameters:
-                model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
-                del model_parameters["max_tokens"]
-            if stream:
-                block_as_stream = True
-                stream = False
-
-                if "stream_options" in extra_model_kwargs:
-                    del extra_model_kwargs["stream_options"]
-
-            if "stop" in extra_model_kwargs:
-                del extra_model_kwargs["stop"]
-
-        # chat model
-        response = client.chat.completions.create(
-            messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)
-
-        block_result = self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
-
-        if block_as_stream:
-            return self._handle_chat_block_as_stream_response(block_result, prompt_messages, stop)
-
-        return block_result
-
-    def _handle_chat_block_as_stream_response(
-        self,
-        block_result: LLMResult,
-        prompt_messages: list[PromptMessage],
-        stop: Optional[list[str]] = None,
-    ) -> Generator[LLMResultChunk, None, None]:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :return: llm response chunk generator
-        """
-        text = block_result.message.content
-        text = cast(str, text)
-
-        if stop:
-            text = self.enforce_stop_tokens(text, stop)
-
-        yield LLMResultChunk(
-            model=block_result.model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=block_result.system_fingerprint,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=text),
-                finish_reason="stop",
-                usage=block_result.usage,
-            ),
-        )
-
-    def _clear_illegal_prompt_messages(self, model: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
-        """
-        Clear illegal prompt messages for OpenAI API
-
-        :param model: model name
-        :param prompt_messages: prompt messages
-        :return: cleaned prompt messages
-        """
-        checklist = ["gpt-4-turbo", "gpt-4-turbo-2024-04-09"]
-
-        if model in checklist:
-            # count how many user messages are there
-            user_message_count = len([m for m in prompt_messages if isinstance(m, UserPromptMessage)])
-            if user_message_count > 1:
-                for prompt_message in prompt_messages:
-                    if isinstance(prompt_message, UserPromptMessage):
-                        if isinstance(prompt_message.content, list):
-                            prompt_message.content = "\n".join(
-                                [
-                                    item.data
-                                    if item.type == PromptMessageContentType.TEXT
-                                    else "[IMAGE]"
-                                    if item.type == PromptMessageContentType.IMAGE
-                                    else ""
-                                    for item in prompt_message.content
-                                ]
-                            )
-
-        if model.startswith("o1"):
-            system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
-            if system_message_count > 0:
-                new_prompt_messages = []
-                for prompt_message in prompt_messages:
-                    if isinstance(prompt_message, SystemPromptMessage):
-                        prompt_message = UserPromptMessage(
-                            content=prompt_message.content,
-                            name=prompt_message.name,
-                        )
-
-                    new_prompt_messages.append(prompt_message)
-                prompt_messages = new_prompt_messages
-
-        return prompt_messages
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: ChatCompletion,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ):
-        assistant_message = response.choices[0].message
-        assistant_message_tool_calls = assistant_message.tool_calls
-
-        # extract tool calls from response
-        tool_calls = []
-        self._update_tool_calls(tool_calls=tool_calls, tool_calls_response=assistant_message_tool_calls)
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(credentials, prompt_messages, tools)
-            completion_tokens = self._num_tokens_from_messages(credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=response.model or model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return result
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ):
-        index = 0
-        full_assistant_content = ""
-        real_model = model
-        system_fingerprint = None
-        completion = ""
-        tool_calls = []
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-            # NOTE: For fix https://github.com/langgenius/dify/issues/5790
-            if delta.delta is None:
-                continue
-
-            # extract tool calls from response
-            self._update_tool_calls(tool_calls=tool_calls, tool_calls_response=delta.delta.tool_calls)
-
-            # Handling exceptions when content filters' streaming mode is set to asynchronous modified filter
-            if delta.finish_reason is None and not delta.delta.content:
-                continue
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls)
-
-            full_assistant_content += delta.delta.content or ""
-
-            real_model = chunk.model
-            system_fingerprint = chunk.system_fingerprint
-            completion += delta.delta.content or ""
-
-            yield LLMResultChunk(
-                model=real_model,
-                prompt_messages=prompt_messages,
-                system_fingerprint=system_fingerprint,
-                delta=LLMResultChunkDelta(
-                    index=index,
-                    message=assistant_prompt_message,
-                ),
-            )
-
-            index += 1
-
-        # calculate num tokens
-        prompt_tokens = self._num_tokens_from_messages(credentials, prompt_messages, tools)
-
-        full_assistant_prompt_message = AssistantPromptMessage(content=completion)
-        completion_tokens = self._num_tokens_from_messages(credentials, [full_assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        yield LLMResultChunk(
-            model=real_model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=system_fingerprint,
-            delta=LLMResultChunkDelta(
-                index=index, message=AssistantPromptMessage(content=""), finish_reason="stop", usage=usage
-            ),
-        )
-
-    @staticmethod
-    def _update_tool_calls(
-        tool_calls: list[AssistantPromptMessage.ToolCall],
-        tool_calls_response: Optional[Sequence[ChatCompletionMessageToolCall | ChoiceDeltaToolCall]],
-    ) -> None:
-        if tool_calls_response:
-            for response_tool_call in tool_calls_response:
-                if isinstance(response_tool_call, ChatCompletionMessageToolCall):
-                    function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                        name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                    )
-
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=response_tool_call.id, type=response_tool_call.type, function=function
-                    )
-                    tool_calls.append(tool_call)
-                elif isinstance(response_tool_call, ChoiceDeltaToolCall):
-                    index = response_tool_call.index
-                    if index < len(tool_calls):
-                        tool_calls[index].id = response_tool_call.id or tool_calls[index].id
-                        tool_calls[index].type = response_tool_call.type or tool_calls[index].type
-                        if response_tool_call.function:
-                            tool_calls[index].function.name = (
-                                response_tool_call.function.name or tool_calls[index].function.name
-                            )
-                            tool_calls[index].function.arguments += response_tool_call.function.arguments or ""
-                    else:
-                        assert response_tool_call.id is not None
-                        assert response_tool_call.type is not None
-                        assert response_tool_call.function is not None
-                        assert response_tool_call.function.name is not None
-                        assert response_tool_call.function.arguments is not None
-
-                        function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                            name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                        )
-                        tool_call = AssistantPromptMessage.ToolCall(
-                            id=response_tool_call.id, type=response_tool_call.type, function=function
-                        )
-                        tool_calls.append(tool_call)
-
-    @staticmethod
-    def _convert_prompt_message_to_dict(message: PromptMessage):
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                assert message.content is not None
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            # message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                # fix azure when enable json schema cant process content = "" in assistant fix with None
-                if not message.content:
-                    message_dict["content"] = None
-                message_dict["tool_calls"] = [helper.dump_model(tool_call) for tool_call in message.tool_calls]
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {
-                "role": "tool",
-                "name": message.name,
-                "content": message.content,
-                "tool_call_id": message.tool_call_id,
-            }
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _num_tokens_from_string(
-        self, credentials: dict, text: str, tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        try:
-            encoding = tiktoken.encoding_for_model(credentials["base_model_name"])
-        except KeyError:
-            encoding = tiktoken.get_encoding("cl100k_base")
-
-        num_tokens = len(encoding.encode(text))
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    def _num_tokens_from_messages(
-        self, credentials: dict, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
-
-        Official documentation: https://github.com/openai/openai-cookbook/blob/
-        main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
-        model = credentials["base_model_name"]
-        try:
-            encoding = tiktoken.encoding_for_model(model)
-        except KeyError:
-            logger.warning("Warning: model not found. Using cl100k_base encoding.")
-            model = "cl100k_base"
-            encoding = tiktoken.get_encoding(model)
-
-        if model.startswith("gpt-35-turbo-0301"):
-            # every message follows <im_start>{role/name}\n{content}<im_end>\n
-            tokens_per_message = 4
-            # if there's a name, the role is omitted
-            tokens_per_name = -1
-        elif model.startswith("gpt-35-turbo") or model.startswith("gpt-4") or "o1" in model:
-            tokens_per_message = 3
-            tokens_per_name = 1
-        else:
-            raise NotImplementedError(
-                f"get_num_tokens_from_messages() is not presently implemented "
-                f"for model {model}."
-                "See https://github.com/openai/openai-python/blob/main/chatml.md for "
-                "information on how messages are converted to tokens."
-            )
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        assert isinstance(tool_call, dict)
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += len(encoding.encode(t_key))
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += len(encoding.encode(f_key))
-                                    num_tokens += len(encoding.encode(f_value))
-                            else:
-                                num_tokens += len(encoding.encode(t_key))
-                                num_tokens += len(encoding.encode(t_value))
-                else:
-                    num_tokens += len(encoding.encode(str(value)))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    @staticmethod
-    def _num_tokens_for_tools(encoding: tiktoken.Encoding, tools: list[PromptMessageTool]) -> int:
-        num_tokens = 0
-        for tool in tools:
-            num_tokens += len(encoding.encode("type"))
-            num_tokens += len(encoding.encode("function"))
-
-            # calculate num tokens for function object
-            num_tokens += len(encoding.encode("name"))
-            num_tokens += len(encoding.encode(tool.name))
-            num_tokens += len(encoding.encode("description"))
-            num_tokens += len(encoding.encode(tool.description))
-            parameters = tool.parameters
-            num_tokens += len(encoding.encode("parameters"))
-            if "title" in parameters:
-                num_tokens += len(encoding.encode("title"))
-                num_tokens += len(encoding.encode(parameters["title"]))
-            num_tokens += len(encoding.encode("type"))
-            num_tokens += len(encoding.encode(parameters["type"]))
-            if "properties" in parameters:
-                num_tokens += len(encoding.encode("properties"))
-                for key, value in parameters["properties"].items():
-                    num_tokens += len(encoding.encode(key))
-                    for field_key, field_value in value.items():
-                        num_tokens += len(encoding.encode(field_key))
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += len(encoding.encode(enum_field))
-                        else:
-                            num_tokens += len(encoding.encode(field_key))
-                            num_tokens += len(encoding.encode(str(field_value)))
-            if "required" in parameters:
-                num_tokens += len(encoding.encode("required"))
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += len(encoding.encode(required_field))
-
-        return num_tokens
-
-    @staticmethod
-    def _get_ai_model_entity(base_model_name: str, model: str):
-        for ai_model_entity in LLM_BASE_MODELS:
-            if ai_model_entity.base_model_name == base_model_name:
-                ai_model_entity_copy = copy.deepcopy(ai_model_entity)
-                ai_model_entity_copy.entity.model = model
-                ai_model_entity_copy.entity.label.en_US = model
-                ai_model_entity_copy.entity.label.zh_Hans = model
-                return ai_model_entity_copy
-
-    def _get_base_model_name(self, credentials: dict) -> str:
-        base_model_name = credentials.get("base_model_name")
-        if not base_model_name:
-            raise ValueError("Base Model Name is required")
-        return base_model_name
diff --git a/api/core/model_runtime/model_providers/azure_openai/speech2text/__init__.py b/api/core/model_runtime/model_providers/azure_openai/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/azure_openai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/azure_openai/speech2text/speech2text.py
deleted file mode 100644
index 4aa09e61fd..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/speech2text/speech2text.py
+++ /dev/null
@@ -1,81 +0,0 @@
-import copy
-from typing import IO, Optional
-
-from openai import AzureOpenAI
-
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.azure_openai._common import _CommonAzureOpenAI
-from core.model_runtime.model_providers.azure_openai._constant import SPEECH2TEXT_BASE_MODELS, AzureBaseModel
-
-
-class AzureOpenAISpeech2TextModel(_CommonAzureOpenAI, Speech2TextModel):
-    """
-    Model class for OpenAI Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        return self._speech2text_invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._speech2text_invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _speech2text_invoke(self, model: str, credentials: dict, file: IO[bytes]) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :return: text for given audio file
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # init model client
-        client = AzureOpenAI(**credentials_kwargs)
-
-        response = client.audio.transcriptions.create(model=model, file=file)
-
-        return response.text
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        ai_model_entity = self._get_ai_model_entity(credentials["base_model_name"], model)
-        if not ai_model_entity:
-            return None
-        return ai_model_entity.entity
-
-    @staticmethod
-    def _get_ai_model_entity(base_model_name: str, model: str) -> Optional[AzureBaseModel]:
-        for ai_model_entity in SPEECH2TEXT_BASE_MODELS:
-            if ai_model_entity.base_model_name == base_model_name:
-                ai_model_entity_copy = copy.deepcopy(ai_model_entity)
-                ai_model_entity_copy.entity.model = model
-                ai_model_entity_copy.entity.label.en_US = model
-                ai_model_entity_copy.entity.label.zh_Hans = model
-                return ai_model_entity_copy
-
-        return None
diff --git a/api/core/model_runtime/model_providers/azure_openai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/azure_openai/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
deleted file mode 100644
index 05f1b5b557..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,194 +0,0 @@
-import base64
-import copy
-import time
-from typing import Optional, Union
-
-import numpy as np
-import tiktoken
-from openai import AzureOpenAI
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import AIModelEntity, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.azure_openai._common import _CommonAzureOpenAI
-from core.model_runtime.model_providers.azure_openai._constant import EMBEDDING_BASE_MODELS, AzureBaseModel
-
-
-class AzureOpenAITextEmbeddingModel(_CommonAzureOpenAI, TextEmbeddingModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        base_model_name = credentials["base_model_name"]
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = AzureOpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-
-        extra_model_kwargs["encoding_format"] = "base64"
-
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        embeddings: list[list[float]] = [[] for _ in range(len(texts))]
-        tokens = []
-        indices = []
-        used_tokens = 0
-
-        try:
-            enc = tiktoken.encoding_for_model(base_model_name)
-        except KeyError:
-            enc = tiktoken.get_encoding("cl100k_base")
-
-        for i, text in enumerate(texts):
-            token = enc.encode(text)
-            for j in range(0, len(token), context_size):
-                tokens += [token[j : j + context_size]]
-                indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(tokens), max_chunks)
-
-        for i in _iter:
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model, client=client, texts=tokens[i : i + max_chunks], extra_model_kwargs=extra_model_kwargs
-            )
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        results: list[list[list[float]]] = [[] for _ in range(len(texts))]
-        num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))]
-        for i in range(len(indices)):
-            results[indices[i]].append(batched_embeddings[i])
-            num_tokens_in_batch[indices[i]].append(len(tokens[i]))
-
-        for i in range(len(texts)):
-            _result = results[i]
-            if len(_result) == 0:
-                embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                    model=model, client=client, texts="", extra_model_kwargs=extra_model_kwargs
-                )
-
-                used_tokens += embedding_used_tokens
-                average = embeddings_batch[0]
-            else:
-                average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
-            embedding = (average / np.linalg.norm(average)).tolist()
-            if np.isnan(embedding).any():
-                raise ValueError("Normalized embedding is nan please try again")
-            embeddings[i] = embedding
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=base_model_name)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        if len(texts) == 0:
-            return 0
-
-        try:
-            enc = tiktoken.encoding_for_model(credentials["base_model_name"])
-        except KeyError:
-            enc = tiktoken.get_encoding("cl100k_base")
-
-        total_num_tokens = 0
-        for text in texts:
-            # calculate the number of tokens in the encoded text
-            tokenized_text = enc.encode(text)
-            total_num_tokens += len(tokenized_text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        if "openai_api_base" not in credentials:
-            raise CredentialsValidateFailedError("Azure OpenAI API Base Endpoint is required")
-
-        if "openai_api_key" not in credentials:
-            raise CredentialsValidateFailedError("Azure OpenAI API key is required")
-
-        if "base_model_name" not in credentials:
-            raise CredentialsValidateFailedError("Base Model Name is required")
-
-        if not self._get_ai_model_entity(credentials["base_model_name"], model):
-            raise CredentialsValidateFailedError(f"Base Model Name {credentials['base_model_name']} is invalid")
-
-        try:
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = AzureOpenAI(**credentials_kwargs)
-
-            self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={})
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        ai_model_entity = self._get_ai_model_entity(credentials["base_model_name"], model)
-        return ai_model_entity.entity
-
-    @staticmethod
-    def _embedding_invoke(
-        model: str, client: AzureOpenAI, texts: Union[list[str], str], extra_model_kwargs: dict
-    ) -> tuple[list[list[float]], int]:
-        response = client.embeddings.create(
-            input=texts,
-            model=model,
-            **extra_model_kwargs,
-        )
-
-        if "encoding_format" in extra_model_kwargs and extra_model_kwargs["encoding_format"] == "base64":
-            # decode base64 embedding
-            return (
-                [list(np.frombuffer(base64.b64decode(data.embedding), dtype="float32")) for data in response.data],
-                response.usage.total_tokens,
-            )
-
-        return [data.embedding for data in response.data], response.usage.total_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @staticmethod
-    def _get_ai_model_entity(base_model_name: str, model: str) -> AzureBaseModel:
-        for ai_model_entity in EMBEDDING_BASE_MODELS:
-            if ai_model_entity.base_model_name == base_model_name:
-                ai_model_entity_copy = copy.deepcopy(ai_model_entity)
-                ai_model_entity_copy.entity.model = model
-                ai_model_entity_copy.entity.label.en_US = model
-                ai_model_entity_copy.entity.label.zh_Hans = model
-                return ai_model_entity_copy
-
-        return None
diff --git a/api/core/model_runtime/model_providers/azure_openai/tts/__init__.py b/api/core/model_runtime/model_providers/azure_openai/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/azure_openai/tts/tts.py b/api/core/model_runtime/model_providers/azure_openai/tts/tts.py
deleted file mode 100644
index 6d50ba9163..0000000000
--- a/api/core/model_runtime/model_providers/azure_openai/tts/tts.py
+++ /dev/null
@@ -1,130 +0,0 @@
-import concurrent.futures
-import copy
-from typing import Any, Optional
-
-from openai import AzureOpenAI
-
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.azure_openai._common import _CommonAzureOpenAI
-from core.model_runtime.model_providers.azure_openai._constant import TTS_BASE_MODELS, AzureBaseModel
-
-
-class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
-    """
-    Model class for OpenAI text2speech model.
-    """
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        if not voice or voice not in [
-            d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials)
-        ]:
-            voice = self._get_model_default_voice(model, credentials)
-
-        return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        validate credentials text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: text translated to audio file
-        """
-        try:
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello Dify!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        try:
-            # doc: https://platform.openai.com/docs/guides/text-to-speech
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = AzureOpenAI(**credentials_kwargs)
-            # max length is 4096 characters, there is 3500 limit for each request
-            max_length = 3500
-            if len(content_text) > max_length:
-                sentences = self._split_text_into_sentences(content_text, max_length=max_length)
-                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
-                futures = [
-                    executor.submit(
-                        client.audio.speech.with_streaming_response.create,
-                        model=model,
-                        response_format="mp3",
-                        input=sentences[i],
-                        voice=voice,
-                    )
-                    for i in range(len(sentences))
-                ]
-                for future in futures:
-                    yield from future.result().__enter__().iter_bytes(1024)  # noqa:PLC2801
-
-            else:
-                response = client.audio.speech.with_streaming_response.create(
-                    model=model, voice=voice, response_format="mp3", input=content_text.strip()
-                )
-
-                yield from response.__enter__().iter_bytes(1024)  # noqa:PLC2801
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
-
-    def _process_sentence(self, sentence: str, model: str, voice, credentials: dict):
-        """
-        _tts_invoke openai text2speech model api
-
-        :param model: model name
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param sentence: text content to be translated
-        :return: text translated to audio file
-        """
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = AzureOpenAI(**credentials_kwargs)
-        response = client.audio.speech.create(model=model, voice=voice, input=sentence.strip())
-        if isinstance(response.read(), bytes):
-            return response.read()
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        ai_model_entity = self._get_ai_model_entity(credentials["base_model_name"], model)
-        if not ai_model_entity:
-            return None
-        return ai_model_entity.entity
-
-    @staticmethod
-    def _get_ai_model_entity(base_model_name: str, model: str) -> AzureBaseModel | None:
-        for ai_model_entity in TTS_BASE_MODELS:
-            if ai_model_entity.base_model_name == base_model_name:
-                ai_model_entity_copy = copy.deepcopy(ai_model_entity)
-                ai_model_entity_copy.entity.model = model
-                ai_model_entity_copy.entity.label.en_US = model
-                ai_model_entity_copy.entity.label.zh_Hans = model
-                return ai_model_entity_copy
-        return None
diff --git a/api/core/model_runtime/model_providers/baichuan/__init__.py b/api/core/model_runtime/model_providers/baichuan/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/baichuan/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/baichuan/_assets/icon_l_en.svg
deleted file mode 100644
index 7ff6b5a67a..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,19 +0,0 @@
-<svg width="130" height="24" viewBox="0 0 130 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M9.58154 1.7793H6.52779L4.34655 6.20409V17.7335L1.91602 22.2206H7.21333L9.58154 17.7335V1.7793ZM11.5761 1.7793H16.8111V22.2206H11.5761V1.7793ZM23.9166 1.7793H18.6816V6.01712H23.9166V1.7793ZM23.9166 7.38818H18.6816V22.2206H23.9166V7.38818Z" fill="url(#paint0_radial_11622_96091)"/>
-<path d="M129.722 6.83203V18H127.482V6.83203H129.722Z" fill="#FF6A34"/>
-<path d="M123.196 15.872H118.748L118.012 18H115.66L119.676 6.81604H122.284L126.3 18H123.932L123.196 15.872ZM122.588 14.08L120.972 9.40804L119.356 14.08H122.588Z" fill="#FF6A34"/>
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-<defs>
-<radialGradient id="paint0_radial_11622_96091" cx="0" cy="0" r="1" gradientUnits="userSpaceOnUse" gradientTransform="translate(6.5 5.5) rotate(45) scale(20.5061 22.0704)">
-<stop stop-color="#FEBD3F"/>
-<stop offset="0.77608" stop-color="#FF6933"/>
-</radialGradient>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/baichuan/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/baichuan/_assets/icon_s_en.svg
deleted file mode 100644
index 4ddcd26726..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g id="Baichuan">
-<path id="Union" fill-rule="evenodd" clip-rule="evenodd" d="M8.58154 1.7793H5.52779L3.34655 6.20409V17.7335L0.916016 22.2206H6.21333L8.58154 17.7335V1.7793ZM10.5761 1.7793H15.8111V22.2206H10.5761V1.7793ZM22.9166 1.7793H17.6816V6.01712H22.9166V1.7793ZM22.9166 7.38818H17.6816V22.2206H22.9166V7.38818Z" fill="url(#paint0_radial_11622_96084)"/>
-</g>
-<defs>
-<radialGradient id="paint0_radial_11622_96084" cx="0" cy="0" r="1" gradientUnits="userSpaceOnUse" gradientTransform="translate(5.5 5.5) rotate(45) scale(20.5061 22.0704)">
-<stop stop-color="#FEBD3F"/>
-<stop offset="0.77608" stop-color="#FF6933"/>
-</radialGradient>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/baichuan/baichuan.py b/api/core/model_runtime/model_providers/baichuan/baichuan.py
deleted file mode 100644
index 626fc811cf..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/baichuan.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class BaichuanProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `baichuan2-turbo` model for validate,
-            model_instance.validate_credentials(model="baichuan2-turbo", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/baichuan/baichuan.yaml b/api/core/model_runtime/model_providers/baichuan/baichuan.yaml
deleted file mode 100644
index 81e6e36215..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/baichuan.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-provider: baichuan
-label:
-  en_US: Baichuan
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FFF6F2"
-help:
-  title:
-    en_US: Get your API Key from BAICHUAN AI
-    zh_Hans: 从百川智能获取您的 API Key
-  url:
-    en_US: https://www.baichuan-ai.com
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/__init__.py b/api/core/model_runtime/model_providers/baichuan/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-53b.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-53b.yaml
deleted file mode 100644
index 8360dd5faf..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-53b.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: baichuan2-53b
-label:
-  en_US: Baichuan2-53B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 1000
-    min: 1
-    max: 4000
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    default: 1
-    min: 1
-    max: 2
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo-192k.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo-192k.yaml
deleted file mode 100644
index 0ce0265cfe..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo-192k.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: baichuan2-turbo-192k
-label:
-  en_US: Baichuan2-Turbo-192K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 192000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8000
-    min: 1
-    max: 192000
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    default: 1
-    min: 1
-    max: 2
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo.yaml
deleted file mode 100644
index ccb4ee8b92..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: baichuan2-turbo
-label:
-  en_US: Baichuan2-Turbo
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.3
-  - name: top_p
-    use_template: top_p
-    default: 0.85
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    min: 0
-    max: 20
-    default: 5
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo-128k.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo-128k.yaml
deleted file mode 100644
index d9cd086e82..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo-128k.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: baichuan3-turbo-128k
-label:
-  en_US: Baichuan3-Turbo-128k
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.3
-  - name: top_p
-    use_template: top_p
-    default: 0.85
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    min: 0
-    max: 20
-    default: 5
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-  - name: res_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo.yaml
deleted file mode 100644
index 58f9b39a43..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan3-turbo.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: baichuan3-turbo
-label:
-  en_US: Baichuan3-Turbo
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.3
-  - name: top_p
-    use_template: top_p
-    default: 0.85
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    min: 0
-    max: 20
-    default: 5
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-  - name: res_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan4.yaml b/api/core/model_runtime/model_providers/baichuan/llm/baichuan4.yaml
deleted file mode 100644
index 6a1135e165..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan4.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: baichuan4
-label:
-  en_US: Baichuan4
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.3
-  - name: top_p
-    use_template: top_p
-    default: 0.85
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    min: 0
-    max: 20
-    default: 5
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-  - name: res_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-  - name: with_search_enhance
-    label:
-      zh_Hans: 搜索增强
-      en_US: Search Enhance
-    type: boolean
-    help:
-      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_tokenizer.py b/api/core/model_runtime/model_providers/baichuan/llm/baichuan_tokenizer.py
deleted file mode 100644
index a7ca28d49d..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_tokenizer.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import re
-
-
-class BaichuanTokenizer:
-    @classmethod
-    def count_chinese_characters(cls, text: str) -> int:
-        return len(re.findall(r"[\u4e00-\u9fa5]", text))
-
-    @classmethod
-    def count_english_vocabularies(cls, text: str) -> int:
-        # remove all non-alphanumeric characters but keep spaces and other symbols like !, ., etc.
-        text = re.sub(r"[^a-zA-Z0-9\s]", "", text)
-        # count the number of words not characters
-        return len(text.split())
-
-    @classmethod
-    def _get_num_tokens(cls, text: str) -> int:
-        # tokens = number of Chinese characters + number of English words * 1.3
-        # (for estimation only, subject to actual return)
-        # https://platform.baichuan-ai.com/docs/text-Embedding
-        return int(cls.count_chinese_characters(text) + cls.count_english_vocabularies(text) * 1.3)
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo.py b/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo.py
deleted file mode 100644
index d5fda73009..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo.py
+++ /dev/null
@@ -1,144 +0,0 @@
-import json
-from collections.abc import Iterator
-from typing import Any, Optional, Union
-
-from requests import post
-
-from core.model_runtime.entities.message_entities import PromptMessageTool
-from core.model_runtime.model_providers.baichuan.llm.baichuan_turbo_errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-
-class BaichuanModel:
-    api_key: str
-
-    def __init__(self, api_key: str) -> None:
-        self.api_key = api_key
-
-    @property
-    def _model_mapping(self) -> dict:
-        return {
-            "baichuan2-turbo": "Baichuan2-Turbo",
-            "baichuan3-turbo": "Baichuan3-Turbo",
-            "baichuan3-turbo-128k": "Baichuan3-Turbo-128k",
-            "baichuan4": "Baichuan4",
-        }
-
-    @property
-    def request_headers(self) -> dict[str, Any]:
-        return {
-            "Content-Type": "application/json",
-            "Authorization": "Bearer " + self.api_key,
-        }
-
-    def _build_parameters(
-        self,
-        model: str,
-        stream: bool,
-        messages: list[dict],
-        parameters: dict[str, Any],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> dict[str, Any]:
-        if model in self._model_mapping:
-            # the LargeLanguageModel._code_block_mode_wrapper() method will remove the response_format of parameters.
-            # we need to rename it to res_format to get its value
-            if parameters.get("res_format") == "json_object":
-                parameters["response_format"] = {"type": "json_object"}
-
-            if tools or parameters.get("with_search_enhance") is True:
-                parameters["tools"] = []
-
-            # with_search_enhance is deprecated, use web_search instead
-            if parameters.get("with_search_enhance") is True:
-                parameters["tools"].append(
-                    {
-                        "type": "web_search",
-                        "web_search": {"enable": True},
-                    }
-                )
-            if tools:
-                for tool in tools:
-                    parameters["tools"].append(
-                        {
-                            "type": "function",
-                            "function": {
-                                "name": tool.name,
-                                "description": tool.description,
-                                "parameters": tool.parameters,
-                            },
-                        }
-                    )
-
-            # turbo api accepts flat parameters
-            return {
-                "model": self._model_mapping.get(model),
-                "stream": stream,
-                "messages": messages,
-                **parameters,
-            }
-        else:
-            raise BadRequestError(f"Unknown model: {model}")
-
-    def generate(
-        self,
-        model: str,
-        stream: bool,
-        messages: list[dict],
-        parameters: dict[str, Any],
-        timeout: int,
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Union[Iterator, dict]:
-        if model in self._model_mapping:
-            api_base = "https://api.baichuan-ai.com/v1/chat/completions"
-        else:
-            raise BadRequestError(f"Unknown model: {model}")
-
-        data = self._build_parameters(model, stream, messages, parameters, tools)
-
-        try:
-            response = post(
-                url=api_base,
-                headers=self.request_headers,
-                data=json.dumps(data),
-                timeout=timeout,
-                stream=stream,
-            )
-        except Exception as e:
-            raise InternalServerError(f"Failed to invoke model: {e}")
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                # try to parse error message
-                err = resp["error"]["type"]
-                msg = resp["error"]["message"]
-            except Exception as e:
-                raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-            if err == "invalid_api_key":
-                raise InvalidAPIKeyError(msg)
-            elif err == "insufficient_quota":
-                raise InsufficientAccountBalanceError(msg)
-            elif err == "invalid_authentication":
-                raise InvalidAuthenticationError(msg)
-            elif err == "invalid_request_error":
-                raise BadRequestError(msg)
-            elif "rate" in err:
-                raise RateLimitReachedError(msg)
-            elif "internal" in err:
-                raise InternalServerError(msg)
-            elif err == "api_key_empty":
-                raise InvalidAPIKeyError(msg)
-            else:
-                raise InternalServerError(f"Unknown error: {err} with message: {msg}")
-
-        if stream:
-            return response.iter_lines()
-        else:
-            return response.json()
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo_errors.py b/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo_errors.py
deleted file mode 100644
index 309b5cf413..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo_errors.py
+++ /dev/null
@@ -1,22 +0,0 @@
-class InvalidAuthenticationError(Exception):
-    pass
-
-
-class InvalidAPIKeyError(Exception):
-    pass
-
-
-class RateLimitReachedError(Exception):
-    pass
-
-
-class InsufficientAccountBalanceError(Exception):
-    pass
-
-
-class InternalServerError(Exception):
-    pass
-
-
-class BadRequestError(Exception):
-    pass
diff --git a/api/core/model_runtime/model_providers/baichuan/llm/llm.py b/api/core/model_runtime/model_providers/baichuan/llm/llm.py
deleted file mode 100644
index e8d18cfff1..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/llm/llm.py
+++ /dev/null
@@ -1,301 +0,0 @@
-import json
-from collections.abc import Generator, Iterator
-from typing import cast
-
-from core.model_runtime.entities.llm_entities import (
-    LLMResult,
-    LLMResultChunk,
-    LLMResultChunkDelta,
-)
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.baichuan.llm.baichuan_tokenizer import BaichuanTokenizer
-from core.model_runtime.model_providers.baichuan.llm.baichuan_turbo import BaichuanModel
-from core.model_runtime.model_providers.baichuan.llm.baichuan_turbo_errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-
-class BaichuanLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stream=stream,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        return self._num_tokens_from_messages(prompt_messages)
-
-    def _num_tokens_from_messages(
-        self,
-        messages: list[PromptMessage],
-    ) -> int:
-        """Calculate num tokens for baichuan model"""
-
-        def tokens(text: str):
-            return BaichuanTokenizer._get_num_tokens(text)
-
-        tokens_per_message = 3
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                num_tokens += tokens(str(value))
-        num_tokens += 3
-
-        return num_tokens
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for Baichuan
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_dict = {"role": "user", "content": message_content.data}
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        raise ValueError("Content object type not support image_url")
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                message_dict["tool_calls"] = [tool_call.dict() for tool_call in message.tool_calls]
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id}
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        # ping
-        instance = BaichuanModel(api_key=credentials["api_key"])
-
-        try:
-            instance.generate(
-                model=model,
-                stream=False,
-                messages=[{"content": "ping", "role": "user"}],
-                parameters={
-                    "max_tokens": 1,
-                },
-                timeout=60,
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Invalid API key: {e}")
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stream: bool = True,
-    ) -> LLMResult | Generator:
-        instance = BaichuanModel(api_key=credentials["api_key"])
-        messages = [self._convert_prompt_message_to_dict(m) for m in prompt_messages]
-
-        # invoke model
-        response = instance.generate(
-            model=model,
-            stream=stream,
-            messages=messages,
-            parameters=model_parameters,
-            timeout=60,
-            tools=tools,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, prompt_messages, credentials, response)
-
-        return self._handle_chat_generate_response(model, prompt_messages, credentials, response)
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: dict,
-    ) -> LLMResult:
-        choices = response.get("choices", [])
-        assistant_message = AssistantPromptMessage(content="", tool_calls=[])
-        if choices and choices[0]["finish_reason"] == "tool_calls":
-            for choice in choices:
-                for tool_call in choice["message"]["tool_calls"]:
-                    tool = AssistantPromptMessage.ToolCall(
-                        id=tool_call.get("id", ""),
-                        type=tool_call.get("type", ""),
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                            name=tool_call.get("function", {}).get("name", ""),
-                            arguments=tool_call.get("function", {}).get("arguments", ""),
-                        ),
-                    )
-                    assistant_message.tool_calls.append(tool)
-        else:
-            for choice in choices:
-                assistant_message.content += choice["message"]["content"]
-                assistant_message.role = choice["message"]["role"]
-
-        usage = response.get("usage")
-        if usage:
-            # transform usage
-            prompt_tokens = usage["prompt_tokens"]
-            completion_tokens = usage["completion_tokens"]
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(prompt_messages)
-            completion_tokens = self._num_tokens_from_messages([assistant_message])
-
-        usage = self._calc_response_usage(
-            model=model,
-            credentials=credentials,
-            prompt_tokens=prompt_tokens,
-            completion_tokens=completion_tokens,
-        )
-
-        return LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_message,
-            usage=usage,
-        )
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Iterator,
-    ) -> Generator:
-        for line in response:
-            if not line:
-                continue
-            line = line.decode("utf-8")
-            # remove the first `data: ` prefix
-            if line.startswith("data:"):
-                line = line[5:].strip()
-            try:
-                data = json.loads(line)
-            except Exception as e:
-                if line.strip() == "[DONE]":
-                    return
-            choices = data.get("choices", [])
-
-            stop_reason = ""
-            for choice in choices:
-                if choice.get("finish_reason"):
-                    stop_reason = choice["finish_reason"]
-
-                if len(choice["delta"]["content"]) == 0:
-                    continue
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=choice["delta"]["content"], tool_calls=[]),
-                        finish_reason=stop_reason,
-                    ),
-                )
-
-            # if there is usage, the response is the last one, yield it and return
-            if "usage" in data:
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=data["usage"]["prompt_tokens"],
-                    completion_tokens=data["usage"]["completion_tokens"],
-                )
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content="", tool_calls=[]),
-                        usage=usage,
-                        finish_reason=stop_reason,
-                    ),
-                )
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [InternalServerError],
-            InvokeRateLimitError: [RateLimitReachedError],
-            InvokeAuthorizationError: [
-                InvalidAuthenticationError,
-                InsufficientAccountBalanceError,
-                InvalidAPIKeyError,
-            ],
-            InvokeBadRequestError: [BadRequestError, KeyError],
-        }
diff --git a/api/core/model_runtime/model_providers/baichuan/text_embedding/__init__.py b/api/core/model_runtime/model_providers/baichuan/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/baichuan/text_embedding/baichuan-text-embedding.yaml b/api/core/model_runtime/model_providers/baichuan/text_embedding/baichuan-text-embedding.yaml
deleted file mode 100644
index 67e5fcc47c..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/text_embedding/baichuan-text-embedding.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: baichuan-text-embedding
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 16
diff --git a/api/core/model_runtime/model_providers/baichuan/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/baichuan/text_embedding/text_embedding.py
deleted file mode 100644
index 1ace68d2b9..0000000000
--- a/api/core/model_runtime/model_providers/baichuan/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,207 +0,0 @@
-import time
-from json import dumps
-from typing import Optional
-
-from requests import post
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.baichuan.llm.baichuan_tokenizer import BaichuanTokenizer
-from core.model_runtime.model_providers.baichuan.llm.baichuan_turbo_errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-
-class BaichuanTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for BaiChuan text embedding model.
-    """
-
-    api_base: str = "http://api.baichuan-ai.com/v1/embeddings"
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["api_key"]
-        if model != "baichuan-text-embedding":
-            raise ValueError("Invalid model name")
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-
-        # split into chunks of batch size 16
-        chunks = []
-        for i in range(0, len(texts), 16):
-            chunks.append(texts[i : i + 16])
-
-        embeddings = []
-        token_usage = 0
-
-        for chunk in chunks:
-            # embedding chunk
-            chunk_embeddings, chunk_usage = self.embedding(model=model, api_key=api_key, texts=chunk, user=user)
-
-            embeddings.extend(chunk_embeddings)
-            token_usage += chunk_usage
-
-        result = TextEmbeddingResult(
-            model=model,
-            embeddings=embeddings,
-            usage=self._calc_response_usage(model=model, credentials=credentials, tokens=token_usage),
-        )
-
-        return result
-
-    def embedding(
-        self, model: str, api_key, texts: list[str], user: Optional[str] = None
-    ) -> tuple[list[list[float]], int]:
-        """
-        Embed given texts
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :return: embeddings result
-        """
-        url = self.api_base
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        data = {"model": "Baichuan-Text-Embedding", "input": texts}
-
-        try:
-            response = post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                # try to parse error message
-                err = resp["error"]["code"]
-                msg = resp["error"]["message"]
-            except Exception as e:
-                raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-            if err == "invalid_api_key":
-                raise InvalidAPIKeyError(msg)
-            elif err == "insufficient_quota":
-                raise InsufficientAccountBalanceError(msg)
-            elif err == "invalid_authentication":
-                raise InvalidAuthenticationError(msg)
-            elif err and "rate" in err:
-                raise RateLimitReachedError(msg)
-            elif err and "internal" in err:
-                raise InternalServerError(msg)
-            elif err == "api_key_empty":
-                raise InvalidAPIKeyError(msg)
-            else:
-                raise InternalServerError(f"Unknown error: {err} with message: {msg}")
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        return [data["embedding"] for data in embeddings], usage["total_tokens"]
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use BaichuanTokenizer to get num tokens
-            num_tokens += BaichuanTokenizer._get_num_tokens(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvalidAPIKeyError:
-            raise CredentialsValidateFailedError("Invalid api key")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [InternalServerError],
-            InvokeRateLimitError: [RateLimitReachedError],
-            InvokeAuthorizationError: [
-                InvalidAuthenticationError,
-                InsufficientAccountBalanceError,
-                InvalidAPIKeyError,
-            ],
-            InvokeBadRequestError: [BadRequestError, KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/bedrock/__init__.py b/api/core/model_runtime/model_providers/bedrock/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/bedrock/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/bedrock/_assets/icon_l_en.svg
deleted file mode 100644
index 667db50800..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,14 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/bedrock/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/bedrock/_assets/icon_s_en.svg
deleted file mode 100644
index 6a0235af92..0000000000
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diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.py b/api/core/model_runtime/model_providers/bedrock/bedrock.py
deleted file mode 100644
index 1cfc1d199c..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class BedrockProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `amazon.titan-text-lite-v1` model by default for validating credentials
-            model_for_validation = credentials.get("model_for_validation", "amazon.titan-text-lite-v1")
-            model_instance.validate_credentials(model=model_for_validation, credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
deleted file mode 100644
index 358c942c3f..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml
+++ /dev/null
@@ -1,143 +0,0 @@
-provider: bedrock
-label:
-  en_US: AWS
-description:
-  en_US: AWS Bedrock's models.
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FCFDFF"
-help:
-  title:
-    en_US: Get your Access Key and Secret Access Key from AWS Console
-  url:
-    en_US: https://console.aws.amazon.com/
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: aws_access_key_id
-      required: false
-      label:
-        en_US: Access Key (If not provided, credentials are obtained from the running environment.)
-        zh_Hans: Access Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Access Key
-        zh_Hans: 在此输入您的 Access Key
-    - variable: aws_secret_access_key
-      required: false
-      label:
-        en_US: Secret Access Key
-        zh_Hans: Secret Access Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Secret Access Key
-        zh_Hans: 在此输入您的 Secret Access Key
-    - variable: aws_region
-      required: true
-      label:
-        en_US: AWS Region
-        zh_Hans: AWS 地区
-        ja_JP: AWS リージョン
-      type: select
-      default: us-east-1
-      options:
-        - value: us-east-1
-          label:
-            en_US: US East (N. Virginia)
-            zh_Hans: 美国东部 (弗吉尼亚北部)
-            ja_JP: 米国 (バージニア北部)
-        - value: us-east-2
-          label:
-            en_US: US East (Ohio)
-            zh_Hans: 美国东部 (俄亥俄)
-            ja_JP: 米国 (オハイオ)
-        - value: us-west-2
-          label:
-            en_US: US West (Oregon)
-            zh_Hans: 美国西部 (俄勒冈州)
-            ja_JP: 米国 (オレゴン)
-        - value: ap-south-1
-          label:
-            en_US: Asia Pacific (Mumbai)
-            zh_Hans: 亚太地区（孟买）
-            ja_JP: アジアパシフィック (ムンバイ)
-        - value: ap-southeast-1
-          label:
-            en_US: Asia Pacific (Singapore)
-            zh_Hans: 亚太地区 (新加坡)
-            ja_JP: アジアパシフィック (シンガポール)
-        - value: ap-southeast-2
-          label:
-            en_US: Asia Pacific (Sydney)
-            zh_Hans: 亚太地区 (悉尼)
-            ja_JP: アジアパシフィック (シドニー)
-        - value: ap-northeast-1
-          label:
-            en_US: Asia Pacific (Tokyo)
-            zh_Hans: 亚太地区 (东京)
-            ja_JP: アジアパシフィック (東京)
-        - value: ap-northeast-2
-          label:
-            en_US: Asia Pacific (Seoul)
-            zh_Hans: 亚太地区（首尔）
-            ja_JP: アジアパシフィック (ソウル)
-        - value: ca-central-1
-          label:
-            en_US: Canada (Central)
-            zh_Hans: 加拿大（中部）
-            ja_JP: カナダ (中部)
-        - value: eu-central-1
-          label:
-            en_US: Europe (Frankfurt)
-            zh_Hans: 欧洲 (法兰克福)
-            ja_JP: 欧州 (フランクフルト)
-        - value: eu-west-1
-          label:
-            en_US: Europe (Ireland)
-            zh_Hans: 欧洲（爱尔兰）
-            ja_JP: 欧州 (アイルランド)
-        - value: eu-west-2
-          label:
-            en_US: Europe (London)
-            zh_Hans: 欧洲西部 (伦敦)
-            ja_JP: 欧州 (ロンドン)
-        - value: eu-west-3
-          label:
-            en_US: Europe (Paris)
-            zh_Hans: 欧洲（巴黎）
-            ja_JP: 欧州 (パリ)
-        - value: sa-east-1
-          label:
-            en_US: South America (São Paulo)
-            zh_Hans: 南美洲（圣保罗）
-            ja_JP: 南米 (サンパウロ)
-        - value: us-gov-west-1
-          label:
-            en_US: AWS GovCloud (US-West)
-            zh_Hans: AWS GovCloud (US-West)
-            ja_JP: AWS GovCloud (米国西部)
-    - variable: bedrock_endpoint_url
-      label:
-        zh_Hans: Bedrock Endpoint URL
-        en_US: Bedrock Endpoint URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Bedrock Endpoint URL, 如：https://123456.cloudfront.net
-        en_US: Enter your Bedrock Endpoint URL, e.g. https://123456.cloudfront.net
-    - variable: model_for_validation
-      required: false
-      label:
-        en_US: Available Model Name
-        zh_Hans: 可用模型名称
-      type: text-input
-      placeholder:
-        en_US: A model you have access to (e.g. amazon.titan-text-lite-v1) for validation.
-        zh_Hans: 为了进行验证，请输入一个您可用的模型名称 (例如：amazon.titan-text-lite-v1)
diff --git a/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py b/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
deleted file mode 100644
index 61cd72889e..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/get_bedrock_client.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from collections.abc import Mapping
-
-import boto3
-from botocore.config import Config
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-
-
-def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
-    region_name = credentials.get("aws_region")
-    if not region_name:
-        raise InvokeBadRequestError("aws_region is required")
-    client_config = Config(region_name=region_name)
-    aws_access_key_id = credentials.get("aws_access_key_id")
-    aws_secret_access_key = credentials.get("aws_secret_access_key")
-    bedrock_endpoint_url = credentials.get("bedrock_endpoint_url")
-
-    if aws_access_key_id and aws_secret_access_key:
-        # use aksk to call bedrock
-        client = boto3.client(
-            service_name=service_name,
-            config=client_config,
-            aws_access_key_id=aws_access_key_id,
-            aws_secret_access_key=aws_secret_access_key,
-            **({"endpoint_url": bedrock_endpoint_url} if bedrock_endpoint_url else {}),
-        )
-    else:
-        # use iam without aksk to call
-        client = boto3.client(service_name=service_name, config=client_config)
-
-    return client
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/__init__.py b/api/core/model_runtime/model_providers/bedrock/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml b/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml
deleted file mode 100644
index 47e2b020fd..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/_position.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-- amazon.titan-text-express-v1
-- amazon.titan-text-lite-v1
-- anthropic.claude-instant-v1
-- anthropic.claude-v1
-- anthropic.claude-v2
-- anthropic.claude-v2:1
-- anthropic.claude-3-sonnet-v1:0
-- anthropic.claude-3-haiku-v1:0
-- ai21.jamba-1-5-large-v1:0
-- ai21.jamba-1-5-mini-v1:0
-- cohere.command-light-text-v14
-- cohere.command-text-v14
-- cohere.command-r-plus-v1.0
-- cohere.command-r-v1.0
-- meta.llama3-1-8b-instruct-v1:0
-- meta.llama3-1-70b-instruct-v1:0
-- meta.llama3-1-405b-instruct-v1:0
-- meta.llama3-8b-instruct-v1:0
-- meta.llama3-70b-instruct-v1:0
-- us.meta.llama3-2-1b-instruct-v1:0
-- us.meta.llama3-2-3b-instruct-v1:0
-- us.meta.llama3-2-11b-instruct-v1:0
-- us.meta.llama3-2-90b-instruct-v1:0
-- meta.llama2-13b-chat-v1
-- meta.llama2-70b-chat-v1
-- mistral.mistral-large-2407-v1:0
-- mistral.mistral-small-2402-v1:0
-- mistral.mistral-large-2402-v1:0
-- mistral.mixtral-8x7b-instruct-v0:1
-- mistral.mistral-7b-instruct-v0:2
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-mid-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-mid-v1.yaml
deleted file mode 100644
index 65dad02969..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-mid-v1.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: ai21.j2-mid-v1
-label:
-  en_US: J2 Mid V1
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8191
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: topP
-    use_template: top_p
-  - name: maxTokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-  - name: count_penalty
-    label:
-      en_US: Count Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 1
-  - name: presence_penalty
-    label:
-      en_US: Presence Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 5
-  - name: frequency_penalty
-    label:
-      en_US: Frequency Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 500
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-ultra-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-ultra-v1.yaml
deleted file mode 100644
index b72f8064bd..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/ai21.j2-ultra-v1.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: ai21.j2-ultra-v1
-label:
-  en_US: J2 Ultra V1
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8191
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: topP
-    use_template: top_p
-  - name: maxTokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-  - name: count_penalty
-    label:
-      en_US: Count Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 1
-  - name: presence_penalty
-    label:
-      en_US: Presence Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 5
-  - name: frequency_penalty
-    label:
-      en_US: Frequency Penalty
-    required: false
-    type: float
-    default: 0
-    min: 0
-    max: 500
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml
deleted file mode 100644
index 276c7312ce..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-model: ai21.jamba-1-5-large-v1:0
-label:
-  en_US: Jamba 1.5 Large
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    min: 0.0
-    max: 2.0
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-pricing:
-  input: '0.002'
-  output: '0.008'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml
deleted file mode 100644
index 3461d8ab71..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-model: ai21.jamba-1-5-mini-v1:0
-label:
-  en_US: Jamba 1.5 Mini
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    min: 0.0
-    max: 2.0
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-pricing:
-  input: '0.0002'
-  output: '0.0004'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml
deleted file mode 100644
index 41a7f96d80..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: amazon.nova-lite-v1:0
-label:
-  en_US: Nova Lite V1
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 300000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.00006'
-  output: '0.00024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml
deleted file mode 100644
index 4ba8da660b..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: amazon.nova-micro-v1:0
-label:
-  en_US: Nova Micro V1
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.000035'
-  output: '0.00014'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml
deleted file mode 100644
index 53cf560610..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: amazon.nova-pro-v1:0
-label:
-  en_US: Nova Pro V1
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 300000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.0008'
-  output: '0.0032'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-express-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-express-v1.yaml
deleted file mode 100644
index 543c16d5cd..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-express-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: amazon.titan-text-express-v1
-label:
-  en_US: Titan Text G1 - Express
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: topP
-    use_template: top_p
-  - name: maxTokenCount
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 8000
-pricing:
-  input: '0.0008'
-  output: '0.0016'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-lite-v1.yaml
deleted file mode 100644
index 2c6151c239..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-lite-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: amazon.titan-text-lite-v1
-label:
-  en_US: Titan Text G1 - Lite
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: topP
-    use_template: top_p
-  - name: maxTokenCount
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-pricing:
-  input: '0.0003'
-  output: '0.0004'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml
deleted file mode 100644
index 9d693dcd48..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: anthropic.claude-3-5-haiku-20241022-v1:0
-label:
-  en_US: Claude 3.5 Haiku
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.001'
-  output: '0.005'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-haiku-v1.yaml
deleted file mode 100644
index c2d5eb6471..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-haiku-v1.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: anthropic.claude-3-haiku-20240307-v1:0
-label:
-  en_US: Claude 3 Haiku
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.00025'
-  output: '0.00125'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-opus-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-opus-v1.yaml
deleted file mode 100644
index f90fa04266..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-opus-v1.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: anthropic.claude-3-opus-20240229-v1:0
-label:
-  en_US: Claude 3 Opus
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.015'
-  output: '0.075'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.5.yaml
deleted file mode 100644
index dad0d6b6b6..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.5.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: anthropic.claude-3-5-sonnet-20240620-v1:0
-label:
-  en_US: Claude 3.5 Sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.yaml
deleted file mode 100644
index 962def8011..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v1.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: anthropic.claude-3-sonnet-20240229-v1:0
-label:
-  en_US: Claude 3 Sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml
deleted file mode 100644
index d30dd5d6cf..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: anthropic.claude-3-5-sonnet-20241022-v2:0
-label:
-  en_US: Claude 3.5 Sonnet V2
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-instant-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-instant-v1.yaml
deleted file mode 100644
index 8422f079c5..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-instant-v1.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: anthropic.claude-instant-v1
-label:
-  en_US: Claude Instant 1
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.0008'
-  output: '0.0024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v1.yaml
deleted file mode 100644
index 6a714b1055..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v1.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: anthropic.claude-v1
-label:
-  en_US: Claude 1
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.1.yaml
deleted file mode 100644
index 70294e4ad3..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.1.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-model: anthropic.claude-v2:1
-label:
-  en_US: Claude 2.1
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.yaml b/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.yaml
deleted file mode 100644
index 0a8ea61b6d..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v2.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-model: anthropic.claude-v2
-label:
-  en_US: Claude 2
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 100000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-light-text-v14.yaml b/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-light-text-v14.yaml
deleted file mode 100644
index 7450009551..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-light-text-v14.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-model: cohere.command-light-text-v14
-label:
-  en_US: Command Light Text V14
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: p
-    use_template: top_p
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    min: 0
-    max: 500
-    default: 0
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-pricing:
-  input: '0.0003'
-  output: '0.0006'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-plus-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-plus-v1.0.yaml
deleted file mode 100644
index 3c0bb4e8d5..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-plus-v1.0.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: cohere.command-r-plus-v1:0
-label:
-  en_US: Command R+
-model_type: llm
-features:
-  - tool-call
-  #- stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '3'
-  output: '15'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-v1.0.yaml
deleted file mode 100644
index a34f48319f..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-r-v1.0.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: cohere.command-r-v1:0
-label:
-  en_US: Command R
-model_type: llm
-features:
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '0.5'
-  output: '1.5'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-text-v14.yaml b/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-text-v14.yaml
deleted file mode 100644
index 6aea5be170..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/cohere.command-text-v14.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: cohere.command-text-v14
-label:
-  en_US: Command Text V14
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: p
-    use_template: top_p
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-pricing:
-  input: '0.0015'
-  output: '0.0020'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml
deleted file mode 100644
index 22bd927d1d..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: eu.anthropic.claude-3-haiku-20240307-v1:0
-label:
-  en_US: Claude 3 Haiku(EU.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.00025'
-  output: '0.00125'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml
deleted file mode 100644
index 0dc596432b..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: eu.anthropic.claude-3-5-sonnet-20240620-v1:0
-label:
-  en_US: Claude 3.5 Sonnet(EU.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml
deleted file mode 100644
index c003fa3908..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: eu.anthropic.claude-3-sonnet-20240229-v1:0
-label:
-  en_US: Claude 3 Sonnet(EU.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml
deleted file mode 100644
index 8d831e6fcb..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: eu.anthropic.claude-3-5-sonnet-20241022-v2:0
-label:
-  en_US: Claude 3.5 Sonnet V2(EU.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/llm.py b/api/core/model_runtime/model_providers/bedrock/llm/llm.py
deleted file mode 100644
index 29bd673d57..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py
+++ /dev/null
@@ -1,895 +0,0 @@
-# standard import
-import base64
-import json
-import logging
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-# 3rd import
-import boto3  # type: ignore
-from botocore.config import Config  # type: ignore
-from botocore.exceptions import (  # type: ignore
-    ClientError,
-    EndpointConnectionError,
-    NoRegionError,
-    ServiceNotInRegionError,
-    UnknownServiceError,
-)
-
-# local import
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.bedrock.get_bedrock_client import get_bedrock_client
-
-logger = logging.getLogger(__name__)
-ANTHROPIC_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-
-class BedrockLargeLanguageModel(LargeLanguageModel):
-    # please refer to the documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html
-    # TODO There is invoke issue: context limit on Cohere Model, will add them after fixed.
-    CONVERSE_API_ENABLED_MODEL_INFO = [
-        {"prefix": "anthropic.claude-v2", "support_system_prompts": True, "support_tool_use": False},
-        {"prefix": "anthropic.claude-v1", "support_system_prompts": True, "support_tool_use": False},
-        {"prefix": "us.anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "eu.anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "anthropic.claude-3", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "us.meta.llama3-2", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "meta.llama", "support_system_prompts": True, "support_tool_use": False},
-        {"prefix": "mistral.mistral-7b-instruct", "support_system_prompts": False, "support_tool_use": False},
-        {"prefix": "mistral.mixtral-8x7b-instruct", "support_system_prompts": False, "support_tool_use": False},
-        {"prefix": "mistral.mistral-large", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "mistral.mistral-small", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "cohere.command-r", "support_system_prompts": True, "support_tool_use": True},
-        {"prefix": "amazon.titan", "support_system_prompts": False, "support_tool_use": False},
-        {"prefix": "ai21.jamba-1-5", "support_system_prompts": True, "support_tool_use": False},
-        {"prefix": "amazon.nova", "support_system_prompts": True, "support_tool_use": False},
-        {"prefix": "us.amazon.nova", "support_system_prompts": True, "support_tool_use": False},
-    ]
-
-    @staticmethod
-    def _find_model_info(model_id):
-        for model in BedrockLargeLanguageModel.CONVERSE_API_ENABLED_MODEL_INFO:
-            if model_id.startswith(model["prefix"]):
-                return model
-        logger.info(f"current model id: {model_id} did not support by Converse API")
-        return None
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        if model_parameters.get("response_format"):
-            stop = stop or []
-            if "```\n" not in stop:
-                stop.append("```\n")
-            if "\n```" not in stop:
-                stop.append("\n```")
-            response_format = model_parameters.pop("response_format")
-            format_prompt = SystemPromptMessage(
-                content=ANTHROPIC_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-            if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-                prompt_messages[0] = format_prompt
-            else:
-                prompt_messages.insert(0, format_prompt)
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-        return self._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        model_info = BedrockLargeLanguageModel._find_model_info(model)
-        if model_info:
-            model_info["model"] = model
-            # invoke models via boto3 converse API
-            return self._generate_with_converse(
-                model_info, credentials, prompt_messages, model_parameters, stop, stream, user, tools
-            )
-        # invoke other models via boto3 client
-        return self._generate(model, credentials, prompt_messages, model_parameters, stop, stream, user)
-
-    def _generate_with_converse(
-        self,
-        model_info: dict,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model with converse API
-
-        :param model_info: model information
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :return: full response or stream response chunk generator result
-        """
-        bedrock_client = get_bedrock_client("bedrock-runtime", credentials)
-        system, prompt_message_dicts = self._convert_converse_prompt_messages(prompt_messages)
-        inference_config, additional_model_fields = self._convert_converse_api_model_parameters(model_parameters, stop)
-
-        parameters = {
-            "modelId": model_info["model"],
-            "messages": prompt_message_dicts,
-            "inferenceConfig": inference_config,
-            "additionalModelRequestFields": additional_model_fields,
-        }
-
-        if model_info["support_system_prompts"] and system and len(system) > 0:
-            parameters["system"] = system
-
-        if model_info["support_tool_use"] and tools:
-            parameters["toolConfig"] = self._convert_converse_tool_config(tools=tools)
-        try:
-            # for issue #10976
-            conversations_list = parameters["messages"]
-            # if two consecutive user messages found, combine them into one message
-            for i in range(len(conversations_list) - 2, -1, -1):
-                if conversations_list[i]["role"] == conversations_list[i + 1]["role"]:
-                    conversations_list[i]["content"].extend(conversations_list.pop(i + 1)["content"])
-
-            if stream:
-                response = bedrock_client.converse_stream(**parameters)
-                return self._handle_converse_stream_response(
-                    model_info["model"], credentials, response, prompt_messages
-                )
-            else:
-                response = bedrock_client.converse(**parameters)
-                return self._handle_converse_response(model_info["model"], credentials, response, prompt_messages)
-        except ClientError as ex:
-            error_code = ex.response["Error"]["Code"]
-            full_error_msg = f"{error_code}: {ex.response['Error']['Message']}"
-            raise self._map_client_to_invoke_error(error_code, full_error_msg)
-        except (EndpointConnectionError, NoRegionError, ServiceNotInRegionError) as ex:
-            raise InvokeConnectionError(str(ex))
-
-        except UnknownServiceError as ex:
-            raise InvokeServerUnavailableError(str(ex))
-
-        except Exception as ex:
-            raise InvokeError(str(ex))
-
-    def _handle_converse_response(
-        self, model: str, credentials: dict, response: dict, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: full response chunk generator result
-        """
-        response_content = response["output"]["message"]["content"]
-        # transform assistant message to prompt message
-        if response["stopReason"] == "tool_use":
-            tool_calls = []
-            text, tool_use = self._extract_tool_use(response_content)
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=tool_use["toolUseId"],
-                type="function",
-                function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=tool_use["name"], arguments=json.dumps(tool_use["input"])
-                ),
-            )
-            tool_calls.append(tool_call)
-
-            assistant_prompt_message = AssistantPromptMessage(content=text, tool_calls=tool_calls)
-        else:
-            assistant_prompt_message = AssistantPromptMessage(content=response_content[0]["text"])
-
-        # calculate num tokens
-        if response["usage"]:
-            # transform usage
-            prompt_tokens = response["usage"]["inputTokens"]
-            completion_tokens = response["usage"]["outputTokens"]
-        else:
-            # calculate num tokens
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-        return result
-
-    def _extract_tool_use(self, content: dict) -> tuple[str, dict]:
-        tool_use = {}
-        text = ""
-        for item in content:
-            if "toolUse" in item:
-                tool_use = item["toolUse"]
-            elif "text" in item:
-                text = item["text"]
-            else:
-                raise ValueError(f"Got unknown item: {item}")
-        return text, tool_use
-
-    def _handle_converse_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: dict,
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: full response or stream response chunk generator result
-        """
-
-        try:
-            full_assistant_content = ""
-            return_model = None
-            input_tokens = 0
-            output_tokens = 0
-            finish_reason = None
-            index = 0
-            tool_calls: list[AssistantPromptMessage.ToolCall] = []
-            tool_use = {}
-
-            for chunk in response["stream"]:
-                if "messageStart" in chunk:
-                    return_model = model
-                elif "messageStop" in chunk:
-                    finish_reason = chunk["messageStop"]["stopReason"]
-                elif "contentBlockStart" in chunk:
-                    tool = chunk["contentBlockStart"]["start"]["toolUse"]
-                    tool_use["toolUseId"] = tool["toolUseId"]
-                    tool_use["name"] = tool["name"]
-                elif "metadata" in chunk:
-                    input_tokens = chunk["metadata"]["usage"]["inputTokens"]
-                    output_tokens = chunk["metadata"]["usage"]["outputTokens"]
-                    usage = self._calc_response_usage(model, credentials, input_tokens, output_tokens)
-                    yield LLMResultChunk(
-                        model=return_model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=index,
-                            message=AssistantPromptMessage(content="", tool_calls=tool_calls),
-                            finish_reason=finish_reason,
-                            usage=usage,
-                        ),
-                    )
-                elif "contentBlockDelta" in chunk:
-                    delta = chunk["contentBlockDelta"]["delta"]
-                    if "text" in delta:
-                        chunk_text = delta["text"] or ""
-                        full_assistant_content += chunk_text
-                        assistant_prompt_message = AssistantPromptMessage(
-                            content=chunk_text or "",
-                        )
-                        index = chunk["contentBlockDelta"]["contentBlockIndex"]
-                        yield LLMResultChunk(
-                            model=model,
-                            prompt_messages=prompt_messages,
-                            delta=LLMResultChunkDelta(
-                                index=index + 1,
-                                message=assistant_prompt_message,
-                            ),
-                        )
-                    elif "toolUse" in delta:
-                        if "input" not in tool_use:
-                            tool_use["input"] = ""
-                        tool_use["input"] += delta["toolUse"]["input"]
-                elif "contentBlockStop" in chunk:
-                    if "input" in tool_use:
-                        tool_call = AssistantPromptMessage.ToolCall(
-                            id=tool_use["toolUseId"],
-                            type="function",
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=tool_use["name"], arguments=tool_use["input"]
-                            ),
-                        )
-                        tool_calls.append(tool_call)
-                        tool_use = {}
-
-        except Exception as ex:
-            raise InvokeError(str(ex))
-
-    def _convert_converse_api_model_parameters(
-        self, model_parameters: dict, stop: Optional[list[str]] = None
-    ) -> tuple[dict, dict]:
-        inference_config = {}
-        additional_model_fields = {}
-        if "max_tokens" in model_parameters:
-            inference_config["maxTokens"] = model_parameters["max_tokens"]
-
-        if "temperature" in model_parameters:
-            inference_config["temperature"] = model_parameters["temperature"]
-
-        if "top_p" in model_parameters:
-            inference_config["topP"] = model_parameters["temperature"]
-
-        if stop:
-            inference_config["stopSequences"] = stop
-
-        if "top_k" in model_parameters:
-            additional_model_fields["top_k"] = model_parameters["top_k"]
-
-        return inference_config, additional_model_fields
-
-    def _convert_converse_prompt_messages(self, prompt_messages: list[PromptMessage]) -> tuple[str, list[dict]]:
-        """
-        Convert prompt messages to dict list and system
-        """
-
-        system = []
-        prompt_message_dicts = []
-        for message in prompt_messages:
-            if isinstance(message, SystemPromptMessage):
-                message.content = message.content.strip()
-                system.append({"text": message.content})
-            else:
-                prompt_message_dicts.append(self._convert_prompt_message_to_dict(message))
-
-        return system, prompt_message_dicts
-
-    def _convert_converse_tool_config(self, tools: Optional[list[PromptMessageTool]] = None) -> dict:
-        tool_config = {}
-        configs = []
-        if tools:
-            for tool in tools:
-                configs.append(
-                    {
-                        "toolSpec": {
-                            "name": tool.name,
-                            "description": tool.description,
-                            "inputSchema": {"json": tool.parameters},
-                        }
-                    }
-                )
-            tool_config["tools"] = configs
-            return tool_config
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": [{"text": message.content}]}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_dict = {"text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        data_split = message_content.data.split(";base64,")
-                        mime_type = data_split[0].replace("data:", "")
-                        base64_data = data_split[1]
-                        image_content = base64.b64decode(base64_data)
-
-                        if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}:
-                            raise ValueError(
-                                f"Unsupported image type {mime_type}, "
-                                f"only support image/jpeg, image/png, image/gif, and image/webp"
-                            )
-
-                        sub_message_dict = {
-                            "image": {"format": mime_type.replace("image/", ""), "source": {"bytes": image_content}}
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            if message.tool_calls:
-                message_dict = {
-                    "role": "assistant",
-                    "content": [
-                        {
-                            "toolUse": {
-                                "toolUseId": message.tool_calls[0].id,
-                                "name": message.tool_calls[0].function.name,
-                                "input": json.loads(message.tool_calls[0].function.arguments),
-                            }
-                        }
-                    ],
-                }
-            else:
-                message_dict = {"role": "assistant", "content": [{"text": message.content}]}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = [{"text": message.content}]
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {
-                "role": "user",
-                "content": [
-                    {
-                        "toolResult": {
-                            "toolUseId": message.tool_call_id,
-                            "content": [{"json": {"text": message.content}}],
-                        }
-                    }
-                ],
-            }
-        else:
-            raise ValueError(f"Got unknown type {message}")
-        return message_dict
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage] | str,
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages or message string
-        :param tools: tools for tool calling
-        :return:md = genai.GenerativeModel(model)
-        """
-        prefix = model.split(".")[0]
-        model_name = model.split(".")[1]
-
-        if isinstance(prompt_messages, str):
-            prompt = prompt_messages
-        else:
-            prompt = self._convert_messages_to_prompt(prompt_messages, prefix, model_name)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        required_params = {}
-        if "anthropic" in model:
-            required_params = {
-                "max_tokens": 32,
-            }
-        elif "ai21" in model:
-            # ValidationException: Malformed input request: #/temperature: expected type: Number,
-            # found: Null#/maxTokens: expected type: Integer, found: Null#/topP: expected type: Number, found: Null,
-            # please reformat your input and try again.
-            required_params = {
-                "temperature": 0.7,
-                "topP": 0.9,
-                "maxTokens": 32,
-            }
-
-        try:
-            ping_message = UserPromptMessage(content="ping")
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[ping_message],
-                model_parameters=required_params,
-                stream=False,
-            )
-
-        except ClientError as ex:
-            error_code = ex.response["Error"]["Code"]
-            full_error_msg = f"{error_code}: {ex.response['Error']['Message']}"
-            raise CredentialsValidateFailedError(str(self._map_client_to_invoke_error(error_code, full_error_msg)))
-
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _convert_one_message_to_text(
-        self, message: PromptMessage, model_prefix: str, model_name: Optional[str] = None
-    ) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt_prefix = ""
-        human_prompt_postfix = ""
-        ai_prompt = ""
-
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            body = content
-            if isinstance(content, list):
-                body = "".join([c.data for c in content if c.type == PromptMessageContentType.TEXT])
-            message_text = f"{human_prompt_prefix} {body} {human_prompt_postfix}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = content
-        elif isinstance(message, ToolPromptMessage):
-            message_text = f"{human_prompt_prefix} {message.content}"
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _convert_messages_to_prompt(
-        self, messages: list[PromptMessage], model_prefix: str, model_name: Optional[str] = None
-    ) -> str:
-        """
-        Format a list of messages into a full prompt for the Anthropic, Amazon and Llama models
-
-        :param messages: List of PromptMessage to combine.
-        :param model_name: specific model name.Optional,just to distinguish llama2 and llama3
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        if not messages:
-            return ""
-
-        messages = messages.copy()  # don't mutate the original list
-        if not isinstance(messages[-1], AssistantPromptMessage):
-            messages.append(AssistantPromptMessage(content=""))
-
-        text = "".join(self._convert_one_message_to_text(message, model_prefix, model_name) for message in messages)
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
-
-    def _create_payload(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-    ):
-        """
-        Create payload for bedrock api call depending on model provider
-        """
-        payload = {}
-        model_prefix = model.split(".")[0]
-        model_name = model.split(".")[1]
-
-        if model_prefix == "ai21":
-            payload["temperature"] = model_parameters.get("temperature")
-            payload["topP"] = model_parameters.get("topP")
-            payload["maxTokens"] = model_parameters.get("maxTokens")
-            payload["prompt"] = self._convert_messages_to_prompt(prompt_messages, model_prefix)
-
-            if model_parameters.get("presencePenalty"):
-                payload["presencePenalty"] = {model_parameters.get("presencePenalty")}
-            if model_parameters.get("frequencyPenalty"):
-                payload["frequencyPenalty"] = {model_parameters.get("frequencyPenalty")}
-            if model_parameters.get("countPenalty"):
-                payload["countPenalty"] = {model_parameters.get("countPenalty")}
-
-        elif model_prefix == "cohere":
-            payload = {**model_parameters}
-            payload["prompt"] = prompt_messages[0].content
-            payload["stream"] = stream
-
-        else:
-            raise ValueError(f"Got unknown model prefix {model_prefix}")
-
-        return payload
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        client_config = Config(region_name=credentials["aws_region"])
-
-        runtime_client = boto3.client(
-            service_name="bedrock-runtime",
-            config=client_config,
-            aws_access_key_id=credentials.get("aws_access_key_id"),
-            aws_secret_access_key=credentials.get("aws_secret_access_key"),
-        )
-
-        model_prefix = model.split(".")[0]
-        payload = self._create_payload(model, prompt_messages, model_parameters, stop, stream)
-
-        # need workaround for ai21 models which doesn't support streaming
-        if stream and model_prefix != "ai21":
-            invoke = runtime_client.invoke_model_with_response_stream
-        else:
-            invoke = runtime_client.invoke_model
-
-        try:
-            body_jsonstr = json.dumps(payload)
-            response = invoke(modelId=model, contentType="application/json", accept="*/*", body=body_jsonstr)
-        except ClientError as ex:
-            error_code = ex.response["Error"]["Code"]
-            full_error_msg = f"{error_code}: {ex.response['Error']['Message']}"
-            raise self._map_client_to_invoke_error(error_code, full_error_msg)
-
-        except (EndpointConnectionError, NoRegionError, ServiceNotInRegionError) as ex:
-            raise InvokeConnectionError(str(ex))
-
-        except UnknownServiceError as ex:
-            raise InvokeServerUnavailableError(str(ex))
-
-        except Exception as ex:
-            raise InvokeError(str(ex))
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: dict, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        response_body = json.loads(response.get("body").read().decode("utf-8"))
-
-        finish_reason = response_body.get("error")
-
-        if finish_reason is not None:
-            raise InvokeError(finish_reason)
-
-        # get output text and calculate num tokens based on model / provider
-        model_prefix = model.split(".")[0]
-
-        if model_prefix == "ai21":
-            output = response_body.get("completions")[0].get("data").get("text")
-            prompt_tokens = len(response_body.get("prompt").get("tokens"))
-            completion_tokens = len(response_body.get("completions")[0].get("data").get("tokens"))
-
-        elif model_prefix == "cohere":
-            output = response_body.get("generations")[0].get("text")
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, output or "")
-
-        else:
-            raise ValueError(f"Got unknown model prefix {model_prefix} when handling block response")
-
-        # construct assistant message from output
-        assistant_prompt_message = AssistantPromptMessage(content=output)
-
-        # calculate usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # construct response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: dict, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        model_prefix = model.split(".")[0]
-        if model_prefix == "ai21":
-            response_body = json.loads(response.get("body").read().decode("utf-8"))
-
-            content = response_body.get("completions")[0].get("data").get("text")
-            finish_reason = response_body.get("completions")[0].get("finish_reason")
-
-            prompt_tokens = len(response_body.get("prompt").get("tokens"))
-            completion_tokens = len(response_body.get("completions")[0].get("data").get("tokens"))
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=0, message=AssistantPromptMessage(content=content), finish_reason=finish_reason, usage=usage
-                ),
-            )
-            return
-
-        stream = response.get("body")
-        if not stream:
-            raise InvokeError("No response body")
-
-        index = -1
-        for event in stream:
-            chunk = event.get("chunk")
-
-            if not chunk:
-                exception_name = next(iter(event))
-                full_ex_msg = f"{exception_name}: {event[exception_name]['message']}"
-                raise self._map_client_to_invoke_error(exception_name, full_ex_msg)
-
-            payload = json.loads(chunk.get("bytes").decode())
-
-            model_prefix = model.split(".")[0]
-            if model_prefix == "cohere":
-                content_delta = payload.get("text")
-                finish_reason = payload.get("finish_reason")
-
-            else:
-                raise ValueError(f"Got unknown model prefix {model_prefix} when handling stream response")
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(
-                content=content_delta or "",
-            )
-            index += 1
-
-            if not finish_reason:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                )
-
-            else:
-                # get num tokens from metrics in last chunk
-                prompt_tokens = payload["amazon-bedrock-invocationMetrics"]["inputTokenCount"]
-                completion_tokens = payload["amazon-bedrock-invocationMetrics"]["outputTokenCount"]
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index, message=assistant_prompt_message, finish_reason=finish_reason, usage=usage
-                    ),
-                )
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller
-        The value is the md = genai.GenerativeModel(model) error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke emd = genai.GenerativeModel(model) error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
-
-    def _map_client_to_invoke_error(self, error_code: str, error_msg: str) -> type[InvokeError]:
-        """
-        Map client error to invoke error
-
-        :param error_code: error code
-        :param error_msg: error message
-        :return: invoke error
-        """
-
-        if error_code == "AccessDeniedException":
-            return InvokeAuthorizationError(error_msg)
-        elif error_code in {"ResourceNotFoundException", "ValidationException"}:
-            return InvokeBadRequestError(error_msg)
-        elif error_code in {"ThrottlingException", "ServiceQuotaExceededException"}:
-            return InvokeRateLimitError(error_msg)
-        elif error_code in {
-            "ModelTimeoutException",
-            "ModelErrorException",
-            "InternalServerException",
-            "ModelNotReadyException",
-        }:
-            return InvokeServerUnavailableError(error_msg)
-        elif error_code == "ModelStreamErrorException":
-            return InvokeConnectionError(error_msg)
-
-        return InvokeError(error_msg)
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-13b-chat-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-13b-chat-v1.yaml
deleted file mode 100644
index a8d3704c15..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-13b-chat-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: meta.llama2-13b-chat-v1
-label:
-  en_US: Llama 2 Chat 13B
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00075'
-  output: '0.00100'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-70b-chat-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-70b-chat-v1.yaml
deleted file mode 100644
index 77525e630b..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama2-70b-chat-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: meta.llama2-70b-chat-v1
-label:
-  en_US: Llama 2 Chat 70B
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00195'
-  output: '0.00256'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-405b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-405b-instruct-v1.0.yaml
deleted file mode 100644
index 401de65f89..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-405b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: meta.llama3-1-405b-instruct-v1:0
-label:
-  en_US: Llama 3.1 405B Instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    default: 0.9
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00532'
-  output: '0.016'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-70b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-70b-instruct-v1.0.yaml
deleted file mode 100644
index 10bfa7b1d5..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-70b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: meta.llama3-1-70b-instruct-v1:0
-label:
-  en_US: Llama 3.1 Instruct 70B
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    default: 0.9
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00265'
-  output: '0.0035'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-8b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-8b-instruct-v1.0.yaml
deleted file mode 100644
index 81cd53243f..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-1-8b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: meta.llama3-1-8b-instruct-v1:0
-label:
-  en_US: Llama 3.1 Instruct 8B
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    default: 0.9
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.0003'
-  output: '0.0006'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-70b-instruct-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-70b-instruct-v1.yaml
deleted file mode 100644
index 204662690e..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-70b-instruct-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: meta.llama3-70b-instruct-v1:0
-label:
-  en_US: Llama 3 Instruct 70B
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00265'
-  output: '0.0035'
-  unit: '0.00001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-8b-instruct-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-8b-instruct-v1.yaml
deleted file mode 100644
index dd4f666a5f..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/meta.llama3-8b-instruct-v1.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-model: meta.llama3-8b-instruct-v1:0
-label:
-  en_US: Llama 3 Instruct 8B
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.0004'
-  output: '0.0006'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-7b-instruct-v0.2.yaml b/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-7b-instruct-v0.2.yaml
deleted file mode 100644
index 175c14da37..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-7b-instruct-v0.2.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: mistral.mistral-7b-instruct-v0:2
-label:
-  en_US: Mistral 7B Instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    required: false
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    required: false
-    default: 0.9
-  - name: top_k
-    use_template: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 50
-    max: 200
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00015'
-  output: '0.0002'
-  unit: '0.00001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2402-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2402-v1.0.yaml
deleted file mode 100644
index 65eed5926b..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2402-v1.0.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: mistral.mistral-large-2402-v1:0
-label:
-  en_US: Mistral Large
-model_type: llm
-features:
-  - tool-call
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    required: false
-    default: 0.7
-  - name: top_p
-    use_template: top_p
-    required: false
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 4096
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2407-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2407-v1.0.yaml
deleted file mode 100644
index 19d7843a57..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-large-2407-v1.0.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-model: mistral.mistral-large-2407-v1:0
-label:
-  en_US: Mistral Large 2 (24.07)
-model_type: llm
-features:
-  - tool-call
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    required: false
-    default: 0.7
-  - name: top_p
-    use_template: top_p
-    required: false
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 8192
-pricing:
-  input: '0.003'
-  output: '0.009'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-small-2402-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-small-2402-v1.0.yaml
deleted file mode 100644
index b97c2a9493..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mistral-small-2402-v1.0.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-model: mistral.mistral-small-2402-v1:0
-label:
-  en_US: Mistral Small
-model_type: llm
-features:
-  - tool-call
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    required: false
-    default: 0.7
-  - name: top_p
-    use_template: top_p
-    required: false
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 4096
-pricing:
-  input: '0.001'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mixtral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/mistral.mixtral-8x7b-instruct-v0.1.yaml
deleted file mode 100644
index 03ec7eddaf..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/mistral.mixtral-8x7b-instruct-v0.1.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: mistral.mixtral-8x7b-instruct-v0:1
-label:
-  en_US: Mixtral 8X7B Instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    required: false
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    required: false
-    default: 0.9
-  - name: top_k
-    use_template: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 50
-    max: 200
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00045'
-  output: '0.0007'
-  unit: '0.00001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml
deleted file mode 100644
index 522353489d..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: us.amazon.nova-lite-v1:0
-label:
-  en_US: Nova Lite V1 (US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 300000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.00006'
-  output: '0.00024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml
deleted file mode 100644
index 4662d0a203..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: us.amazon.nova-micro-v1:0
-label:
-  en_US: Nova Micro V1 (US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.000035'
-  output: '0.00014'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml
deleted file mode 100644
index 20e9d233e1..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: us.amazon.nova-pro-v1:0
-label:
-  en_US: Nova Pro V1 (US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 300000
-parameter_rules:
-  - name: max_new_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 5000
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.0008'
-  output: '0.0032'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml
deleted file mode 100644
index e5e0244a87..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: us.anthropic.claude-3-5-haiku-20241022-v1:0
-label:
-  en_US: Claude 3.5 Haiku(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.001'
-  output: '0.005'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml
deleted file mode 100644
index 14f2450e0a..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: us.anthropic.claude-3-haiku-20240307-v1:0
-label:
-  en_US: Claude 3 Haiku(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.00025'
-  output: '0.00125'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml
deleted file mode 100644
index eef7b766d9..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: us.anthropic.claude-3-opus-20240229-v1:0
-label:
-  en_US: Claude 3 Opus(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.015'
-  output: '0.075'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml
deleted file mode 100644
index a02fc350d1..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: us.anthropic.claude-3-5-sonnet-20240620-v1:0
-label:
-  en_US: Claude 3.5 Sonnet(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml
deleted file mode 100644
index 7db3527761..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: us.anthropic.claude-3-sonnet-20240229-v1:0
-label:
-  en_US: Claude 3 Sonnet(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml
deleted file mode 100644
index 61f73276ee..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-model: us.anthropic.claude-3-5-sonnet-20241022-v2:0
-label:
-  en_US: Claude 3.5 Sonnet V2(US.Cross Region Inference)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml
deleted file mode 100644
index 029f428776..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-model: us.meta.llama3-2-11b-instruct-v1:0
-label:
-  en_US: US Meta Llama 3.2 11B Instruct
-model_type: llm
-features:
-  - vision
-  - tool-call
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    min: 0.0
-    max: 1
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00035'
-  output: '0.00035'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml
deleted file mode 100644
index 51c8474e54..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-model: us.meta.llama3-2-1b-instruct-v1:0
-label:
-  en_US: US Meta Llama 3.2 1B Instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    min: 0.0
-    max: 1
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.0001'
-  output: '0.0001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml
deleted file mode 100644
index 472cc7403e..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-model: us.meta.llama3-2-3b-instruct-v1:0
-label:
-  en_US: US Meta Llama 3.2 3B Instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    min: 0.0
-    max: 1
-  - name: top_p
-    use_template: top_p
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00015'
-  output: '0.00015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml
deleted file mode 100644
index cecd0236ca..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: us.meta.llama3-2-90b-instruct-v1:0
-label:
-  en_US: US Meta Llama 3.2 90B Instruct
-model_type: llm
-features:
-  - tool-call
-model_properties:
-  mode: completion
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    min: 0.0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 0.9
-    min: 0
-    max: 1
-  - name: max_gen_len
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: '0.002'
-  output: '0.002'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py b/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml
deleted file mode 100644
index 6109b25786..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml
+++ /dev/null
@@ -1,2 +0,0 @@
-- amazon.rerank-v1
-- cohere.rerank-v3-5
diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml
deleted file mode 100644
index b91dc3308b..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: amazon.rerank-v1:0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml
deleted file mode 100644
index c250c8f0a1..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: cohere.rerank-v3-5:0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py
deleted file mode 100644
index fc08852c1a..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py
+++ /dev/null
@@ -1,142 +0,0 @@
-from typing import Optional
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-from core.model_runtime.model_providers.bedrock.get_bedrock_client import get_bedrock_client
-
-
-class BedrockRerankModel(RerankModel):
-    """
-    Model class for Cohere rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=docs)
-
-        # initialize client
-        bedrock_runtime = get_bedrock_client("bedrock-agent-runtime", credentials)
-        queries = [{"type": "TEXT", "textQuery": {"text": query}}]
-        text_sources = []
-        for text in docs:
-            text_sources.append(
-                {
-                    "type": "INLINE",
-                    "inlineDocumentSource": {
-                        "type": "TEXT",
-                        "textDocument": {
-                            "text": text,
-                        },
-                    },
-                }
-            )
-        modelId = model
-        region = credentials.get("aws_region")
-        # region is a required field
-        if not region:
-            raise InvokeBadRequestError("aws_region is required in credentials")
-        model_package_arn = f"arn:aws:bedrock:{region}::foundation-model/{modelId}"
-        rerankingConfiguration = {
-            "type": "BEDROCK_RERANKING_MODEL",
-            "bedrockRerankingConfiguration": {
-                "numberOfResults": min(top_n, len(text_sources)),
-                "modelConfiguration": {
-                    "modelArn": model_package_arn,
-                },
-            },
-        }
-        response = bedrock_runtime.rerank(
-            queries=queries, sources=text_sources, rerankingConfiguration=rerankingConfiguration
-        )
-
-        rerank_documents = []
-        for idx, result in enumerate(response["results"]):
-            # format document
-            index = result["index"]
-            rerank_document = RerankDocument(
-                index=index,
-                text=docs[index],
-                score=result["relevanceScore"],
-            )
-
-            # score threshold check
-            if score_threshold is not None:
-                if rerank_document.score >= score_threshold:
-                    rerank_documents.append(rerank_document)
-            else:
-                rerank_documents.append(rerank_document)
-
-        return RerankResult(model=model, docs=rerank_documents)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self.invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller
-        The value is the md = genai.GenerativeModel(model) error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke emd = genai.GenerativeModel(model) error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/__init__.py b/api/core/model_runtime/model_providers/bedrock/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/bedrock/text_embedding/_position.yaml
deleted file mode 100644
index afbea06a3e..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/_position.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-- amazon.titan-embed-text-v1
-- amazon.titan-embed-text-v2:0
-- cohere.embed-english-v3
-- cohere.embed-multilingual-v3
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v1.yaml b/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v1.yaml
deleted file mode 100644
index e5a55971a1..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v1.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: amazon.titan-embed-text-v1
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: '0.0001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v2.yaml b/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v2.yaml
deleted file mode 100644
index 5069efeb10..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/amazon.titan-embed-text-v2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: amazon.titan-embed-text-v2:0
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: '0.00002'
-  unit: '0.00001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-english-v3.yaml b/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-english-v3.yaml
deleted file mode 100644
index d49aa2a99c..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-english-v3.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: cohere.embed-english-v3
-model_type: text-embedding
-model_properties:
-  context_size: 512
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-multilingual-v3.yaml b/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-multilingual-v3.yaml
deleted file mode 100644
index 63bab59d2c..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/cohere.embed-multilingual-v3.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: cohere.embed-multilingual-v3
-model_type: text-embedding
-model_properties:
-  context_size: 512
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/bedrock/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/bedrock/text_embedding/text_embedding.py
deleted file mode 100644
index 5505797f76..0000000000
--- a/api/core/model_runtime/model_providers/bedrock/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,230 +0,0 @@
-import json
-import logging
-import time
-from typing import Optional
-
-from botocore.exceptions import (
-    ClientError,
-    EndpointConnectionError,
-    NoRegionError,
-    ServiceNotInRegionError,
-    UnknownServiceError,
-)
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.bedrock.get_bedrock_client import get_bedrock_client
-
-logger = logging.getLogger(__name__)
-
-
-class BedrockTextEmbeddingModel(TextEmbeddingModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        bedrock_runtime = get_bedrock_client("bedrock-runtime", credentials)
-
-        embeddings = []
-        token_usage = 0
-
-        model_prefix = model.split(".")[0]
-
-        if model_prefix == "amazon":
-            for text in texts:
-                body = {
-                    "inputText": text,
-                }
-                response_body = self._invoke_bedrock_embedding(model, bedrock_runtime, body)
-                embeddings.extend([response_body.get("embedding")])
-                token_usage += response_body.get("inputTextTokenCount")
-            logger.warning(f"Total Tokens: {token_usage}")
-            result = TextEmbeddingResult(
-                model=model,
-                embeddings=embeddings,
-                usage=self._calc_response_usage(model=model, credentials=credentials, tokens=token_usage),
-            )
-            return result
-
-        if model_prefix == "cohere":
-            input_type = "search_document" if len(texts) > 1 else "search_query"
-            for text in texts:
-                body = {
-                    "texts": [text],
-                    "input_type": input_type,
-                }
-                response_body = self._invoke_bedrock_embedding(model, bedrock_runtime, body)
-                embeddings.extend(response_body.get("embeddings"))
-                token_usage += len(text)
-            result = TextEmbeddingResult(
-                model=model,
-                embeddings=embeddings,
-                usage=self._calc_response_usage(model=model, credentials=credentials, tokens=token_usage),
-            )
-            return result
-
-        # others
-        raise ValueError(f"Got unknown model prefix {model_prefix} when handling block response")
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller
-        The value is the md = genai.GenerativeModel(model) error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke emd = genai.GenerativeModel(model) error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
-
-    def _create_payload(
-        self,
-        model_prefix: str,
-        texts: list[str],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-    ):
-        """
-        Create payload for bedrock api call depending on model provider
-        """
-        payload = {}
-
-        if model_prefix == "amazon":
-            payload["inputText"] = texts
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def _map_client_to_invoke_error(self, error_code: str, error_msg: str) -> type[InvokeError]:
-        """
-        Map client error to invoke error
-
-        :param error_code: error code
-        :param error_msg: error message
-        :return: invoke error
-        """
-
-        if error_code == "AccessDeniedException":
-            return InvokeAuthorizationError(error_msg)
-        elif error_code in {"ResourceNotFoundException", "ValidationException"}:
-            return InvokeBadRequestError(error_msg)
-        elif error_code in {"ThrottlingException", "ServiceQuotaExceededException"}:
-            return InvokeRateLimitError(error_msg)
-        elif error_code in {
-            "ModelTimeoutException",
-            "ModelErrorException",
-            "InternalServerException",
-            "ModelNotReadyException",
-        }:
-            return InvokeServerUnavailableError(error_msg)
-        elif error_code == "ModelStreamErrorException":
-            return InvokeConnectionError(error_msg)
-
-        return InvokeError(error_msg)
-
-    def _invoke_bedrock_embedding(
-        self,
-        model: str,
-        bedrock_runtime,
-        body: dict,
-    ):
-        accept = "application/json"
-        content_type = "application/json"
-        try:
-            response = bedrock_runtime.invoke_model(
-                body=json.dumps(body), modelId=model, accept=accept, contentType=content_type
-            )
-            response_body = json.loads(response.get("body").read().decode("utf-8"))
-            return response_body
-        except ClientError as ex:
-            error_code = ex.response["Error"]["Code"]
-            full_error_msg = f"{error_code}: {ex.response['Error']['Message']}"
-            raise self._map_client_to_invoke_error(error_code, full_error_msg)
-
-        except (EndpointConnectionError, NoRegionError, ServiceNotInRegionError) as ex:
-            raise InvokeConnectionError(str(ex))
-
-        except UnknownServiceError as ex:
-            raise InvokeServerUnavailableError(str(ex))
-
-        except Exception as ex:
-            raise InvokeError(str(ex))
diff --git a/api/core/model_runtime/model_providers/chatglm/__init__.py b/api/core/model_runtime/model_providers/chatglm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/chatglm/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/chatglm/_assets/icon_l_en.svg
deleted file mode 100644
index a824d43d6f..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/_assets/icon_l_en.svg
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/chatglm/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/chatglm/_assets/icon_s_en.svg
deleted file mode 100644
index 466b4fce57..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,9 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/chatglm/chatglm.py b/api/core/model_runtime/model_providers/chatglm/chatglm.py
deleted file mode 100644
index 71d9a15322..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/chatglm.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class ChatGLMProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `chatglm3-6b` model for validate,
-            model_instance.validate_credentials(model="chatglm3-6b", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/chatglm/chatglm.yaml b/api/core/model_runtime/model_providers/chatglm/chatglm.yaml
deleted file mode 100644
index 0c1688c350..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/chatglm.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-provider: chatglm
-label:
-  en_US: ChatGLM
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#F4F7FF"
-help:
-  title:
-    en_US: Deploy ChatGLM to your local
-    zh_Hans: 部署您的本地 ChatGLM
-  url:
-    en_US: https://github.com/THUDM/ChatGLM3
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_base
-      label:
-        en_US: API URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API URL
-        en_US: Enter your API URL
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/__init__.py b/api/core/model_runtime/model_providers/chatglm/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b-32k.yaml b/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b-32k.yaml
deleted file mode 100644
index d1075d74b5..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b-32k.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: chatglm2-6b-32k
-label:
-  en_US: ChatGLM2-6B-32K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2000
-    min: 1
-    max: 32000
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b.yaml b/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b.yaml
deleted file mode 100644
index e3cfeb9001..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: chatglm2-6b
-label:
-  en_US: ChatGLM2-6B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 256
-    min: 1
-    max: 2000
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b-32k.yaml b/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b-32k.yaml
deleted file mode 100644
index 6f34743513..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b-32k.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm3-6b-32k
-label:
-  en_US: ChatGLM3-6B-32K
-model_type: llm
-features:
-  - tool-call
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8000
-    min: 1
-    max: 32000
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b.yaml b/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b.yaml
deleted file mode 100644
index d6d87e2e09..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm3-6b
-label:
-  en_US: ChatGLM3-6B
-model_type: llm
-features:
-  - tool-call
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 256
-    min: 1
-    max: 8000
diff --git a/api/core/model_runtime/model_providers/chatglm/llm/llm.py b/api/core/model_runtime/model_providers/chatglm/llm/llm.py
deleted file mode 100644
index b3eeb48e22..0000000000
--- a/api/core/model_runtime/model_providers/chatglm/llm/llm.py
+++ /dev/null
@@ -1,507 +0,0 @@
-import logging
-from collections.abc import Generator
-from typing import Optional, cast
-
-from httpx import Timeout
-from openai import (
-    APIConnectionError,
-    APITimeoutError,
-    AuthenticationError,
-    ConflictError,
-    InternalServerError,
-    NotFoundError,
-    OpenAI,
-    PermissionDeniedError,
-    RateLimitError,
-    Stream,
-    UnprocessableEntityError,
-)
-from openai.types.chat import ChatCompletion, ChatCompletionChunk
-from openai.types.chat.chat_completion_message import FunctionCall
-from yarl import URL
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.utils import helper
-
-logger = logging.getLogger(__name__)
-
-
-class ChatGLMLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke model
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        return self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[
-                    UserPromptMessage(content="ping"),
-                ],
-                model_parameters={
-                    "max_tokens": 16,
-                },
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(str(e))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                APIConnectionError,
-                APITimeoutError,
-            ],
-            InvokeServerUnavailableError: [
-                InternalServerError,
-                ConflictError,
-                NotFoundError,
-                UnprocessableEntityError,
-                PermissionDeniedError,
-            ],
-            InvokeRateLimitError: [RateLimitError],
-            InvokeAuthorizationError: [AuthenticationError],
-            InvokeBadRequestError: [ValueError],
-        }
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        self._check_chatglm_parameters(model=model, model_parameters=model_parameters, tools=tools)
-
-        kwargs = self._to_client_kwargs(credentials)
-        # init model client
-        client = OpenAI(**kwargs)
-
-        extra_model_kwargs = {}
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        if tools and len(tools) > 0:
-            extra_model_kwargs["functions"] = [helper.dump_model(tool) for tool in tools]
-
-        result = client.chat.completions.create(
-            messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(
-                model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages
-            )
-
-        return self._handle_chat_generate_response(
-            model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages
-        )
-
-    def _check_chatglm_parameters(self, model: str, model_parameters: dict, tools: list[PromptMessageTool]) -> None:
-        if model.find("chatglm2") != -1 and tools is not None and len(tools) > 0:
-            raise InvokeBadRequestError("ChatGLM2 does not support function calling")
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI Compatibility API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                raise ValueError("User message content must be str")
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls and len(message.tool_calls) > 0:
-                message_dict["function_call"] = {
-                    "name": message.tool_calls[0].function.name,
-                    "arguments": message.tool_calls[0].function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            # check if last message is user message
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": "function", "content": message.content}
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def _extract_response_tool_calls(
-        self, response_function_calls: list[FunctionCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_function_calls:
-            for response_tool_call in response_function_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.name, arguments=response_tool_call.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(id=0, type="function", function=function)
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _to_client_kwargs(self, credentials: dict) -> dict:
-        """
-        Convert invoke kwargs to client kwargs
-
-        :param stream: is stream response
-        :param model_name: model name
-        :param credentials: credentials dict
-        :param model_parameters: model parameters
-        :return: client kwargs
-        """
-        client_kwargs = {
-            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
-            "api_key": "1",
-            "base_url": str(URL(credentials["api_base"]) / "v1"),
-        }
-
-        return client_kwargs
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Generator:
-        full_response = ""
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
-                continue
-
-            # check if there is a tool call in the response
-            function_calls = None
-            if delta.delta.function_call:
-                function_calls = [delta.delta.function_call]
-
-            assistant_message_tool_calls = self._extract_response_tool_calls(function_calls or [])
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(
-                content=delta.delta.content or "", tool_calls=assistant_message_tool_calls
-            )
-
-            if delta.finish_reason is not None:
-                # temp_assistant_prompt_message is used to calculate usage
-                temp_assistant_prompt_message = AssistantPromptMessage(
-                    content=full_response, tool_calls=assistant_message_tool_calls
-                )
-
-                prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-                completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[])
-
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens,
-                )
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                full_response += delta.delta.content
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: ChatCompletion,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        if len(response.choices) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-        assistant_message = response.choices[0].message
-
-        # convert function call to tool call
-        function_calls = assistant_message.function_call
-        tool_calls = self._extract_response_tool_calls([function_calls] if function_calls else [])
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-        completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools)
-
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=response.system_fingerprint,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _num_tokens_from_string(self, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int:
-        """
-        Calculate num tokens for text completion model with tiktoken package.
-
-        :param model: model name
-        :param text: prompt text
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        num_tokens = self._get_num_tokens_by_gpt2(text)
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_from_messages(
-        self, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """Calculate num tokens for chatglm2 and chatglm3 with GPT2 tokenizer.
-
-        it's too complex to calculate num tokens for chatglm2 and chatglm3 with ChatGLM tokenizer,
-        As a temporary solution we use GPT2 tokenizer instead.
-
-        """
-
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-                    value = text
-
-                if key == "function_call":
-                    for t_key, t_value in value.items():
-                        num_tokens += tokens(t_key)
-                        if t_key == "function":
-                            for f_key, f_value in t_value.items():
-                                num_tokens += tokens(f_key)
-                                num_tokens += tokens(f_value)
-                        else:
-                            num_tokens += tokens(t_key)
-                            num_tokens += tokens(t_value)
-                else:
-                    num_tokens += tokens(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling
-
-        :param encoding: encoding
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        num_tokens = 0
-        for tool in tools:
-            # calculate num tokens for function object
-            num_tokens += tokens("name")
-            num_tokens += tokens(tool.name)
-            num_tokens += tokens("description")
-            num_tokens += tokens(tool.description)
-            parameters = tool.parameters
-            num_tokens += tokens("parameters")
-            num_tokens += tokens("type")
-            num_tokens += tokens(parameters.get("type"))
-            if "properties" in parameters:
-                num_tokens += tokens("properties")
-                for key, value in parameters.get("properties").items():
-                    num_tokens += tokens(key)
-                    for field_key, field_value in value.items():
-                        num_tokens += tokens(field_key)
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += tokens(enum_field)
-                        else:
-                            num_tokens += tokens(field_key)
-                            num_tokens += tokens(str(field_value))
-            if "required" in parameters:
-                num_tokens += tokens("required")
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += tokens(required_field)
-
-        return num_tokens
diff --git a/api/core/model_runtime/model_providers/cohere/__init__.py b/api/core/model_runtime/model_providers/cohere/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/cohere/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/cohere/_assets/icon_l_en.svg
deleted file mode 100644
index 9c176896fe..0000000000
--- a/api/core/model_runtime/model_providers/cohere/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/cohere/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/cohere/_assets/icon_s_en.svg
deleted file mode 100644
index 28fe96d390..0000000000
--- a/api/core/model_runtime/model_providers/cohere/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,16 +0,0 @@
-<svg width="22" height="22" viewBox="0 0 22 22" fill="none" xmlns="http://www.w3.org/2000/svg">
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-<g id="clip0_2207_90691">
-<path id="Vector" d="M21.5 0.5H0.5V21.5H21.5V0.5Z" fill="white"/>
-</g>
-</mask>
-<g mask="url(#mask0_13224_9519)">
-<g id="Group">
-<path id="Vector_2" fill-rule="evenodd" clip-rule="evenodd" d="M7.30367 13.0035C7.8689 13.0035 8.99327 12.9725 10.5474 12.3326C12.3585 11.587 15.9617 10.2334 18.561 8.84305C20.3788 7.8706 21.1757 6.58448 21.1757 4.85248C21.1757 2.44869 19.2271 0.5 16.8233 0.5H6.75176C3.299 0.5 0.5 3.299 0.5 6.75176C0.5 10.2045 3.12069 13.0035 7.30367 13.0035Z" fill="#39594D"/>
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diff --git a/api/core/model_runtime/model_providers/cohere/cohere.py b/api/core/model_runtime/model_providers/cohere/cohere.py
deleted file mode 100644
index 8394a45fcf..0000000000
--- a/api/core/model_runtime/model_providers/cohere/cohere.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class CohereProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.RERANK)
-
-            # Use `rerank-english-v2.0` model for validate,
-            model_instance.validate_credentials(model="rerank-english-v2.0", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/cohere/cohere.yaml b/api/core/model_runtime/model_providers/cohere/cohere.yaml
deleted file mode 100644
index bd40057fe9..0000000000
--- a/api/core/model_runtime/model_providers/cohere/cohere.yaml
+++ /dev/null
@@ -1,90 +0,0 @@
-provider: cohere
-label:
-  zh_Hans: Cohere
-  en_US: Cohere
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#ECE9E3"
-help:
-  title:
-    en_US: Get your API key from cohere
-    zh_Hans: 从 cohere 获取 API Key
-  url:
-    en_US: https://dashboard.cohere.com/api-keys
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        zh_Hans: API Key
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-      show_on: [ ]
-    - variable: base_url
-      label:
-        zh_Hans: API Base
-        en_US: API Base
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Base，如 https://api.cohere.ai/v1
-        en_US: Enter your API Base, e.g. https://api.cohere.ai/v1
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
-      label:
-        zh_Hans: API Base
-        en_US: API Base
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Base，如 https://api.cohere.ai/v1
-        en_US: Enter your API Base, e.g. https://api.cohere.ai/v1
diff --git a/api/core/model_runtime/model_providers/cohere/llm/__init__.py b/api/core/model_runtime/model_providers/cohere/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/cohere/llm/_position.yaml b/api/core/model_runtime/model_providers/cohere/llm/_position.yaml
deleted file mode 100644
index 42d06f49a2..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/_position.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-- command-r
-- command-r-plus
-- command-chat
-- command-light-chat
-- command-nightly-chat
-- command-light-nightly-chat
-- command
-- command-light
-- command-nightly
-- command-light-nightly
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-chat.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-chat.yaml
deleted file mode 100644
index 5f233f35ce..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: command-chat
-label:
-  zh_Hans: command-chat
-  en_US: command-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-  - name: preamble_override
-    label:
-      zh_Hans: 前导文本
-      en_US: Preamble
-    type: string
-    help:
-      zh_Hans: 当指定时，将使用提供的前导文本替换默认的 Cohere 前导文本。
-      en_US: When specified, the default Cohere preamble will be replaced with the provided one.
-    required: false
-  - name: prompt_truncation
-    label:
-      zh_Hans: 提示截断
-      en_US: Prompt Truncation
-    type: string
-    help:
-      zh_Hans: 指定如何构造 Prompt。当 prompt_truncation 设置为 "AUTO" 时，将会丢弃一些来自聊天记录的元素，以尝试构造一个符合模型上下文长度限制的 Prompt。
-      en_US: Dictates how the prompt will be constructed. With prompt_truncation set to "AUTO", some elements from chat histories will be dropped in an attempt to construct a prompt that fits within the model's context length limit.
-    required: true
-    default: 'AUTO'
-    options:
-      - 'AUTO'
-      - 'OFF'
-pricing:
-  input: '1.0'
-  output: '2.0'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-light-chat.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-light-chat.yaml
deleted file mode 100644
index b5f0048770..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-light-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: command-light-chat
-label:
-  zh_Hans: command-light-chat
-  en_US: command-light-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-  - name: preamble_override
-    label:
-      zh_Hans: 前导文本
-      en_US: Preamble
-    type: string
-    help:
-      zh_Hans: 当指定时，将使用提供的前导文本替换默认的 Cohere 前导文本。
-      en_US: When specified, the default Cohere preamble will be replaced with the provided one.
-    required: false
-  - name: prompt_truncation
-    label:
-      zh_Hans: 提示截断
-      en_US: Prompt Truncation
-    type: string
-    help:
-      zh_Hans: 指定如何构造 Prompt。当 prompt_truncation 设置为 "AUTO" 时，将会丢弃一些来自聊天记录的元素，以尝试构造一个符合模型上下文长度限制的 Prompt。
-      en_US: Dictates how the prompt will be constructed. With prompt_truncation set to "AUTO", some elements from chat histories will be dropped in an attempt to construct a prompt that fits within the model's context length limit.
-    required: true
-    default: 'AUTO'
-    options:
-      - 'AUTO'
-      - 'OFF'
-pricing:
-  input: '0.3'
-  output: '0.6'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly-chat.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly-chat.yaml
deleted file mode 100644
index 1c96b24030..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: command-light-nightly-chat
-label:
-  zh_Hans: command-light-nightly-chat
-  en_US: command-light-nightly-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-  - name: preamble_override
-    label:
-      zh_Hans: 前导文本
-      en_US: Preamble
-    type: string
-    help:
-      zh_Hans: 当指定时，将使用提供的前导文本替换默认的 Cohere 前导文本。
-      en_US: When specified, the default Cohere preamble will be replaced with the provided one.
-    required: false
-  - name: prompt_truncation
-    label:
-      zh_Hans: 提示截断
-      en_US: Prompt Truncation
-    type: string
-    help:
-      zh_Hans: 指定如何构造 Prompt。当 prompt_truncation 设置为 "AUTO" 时，将会丢弃一些来自聊天记录的元素，以尝试构造一个符合模型上下文长度限制的 Prompt。
-      en_US: Dictates how the prompt will be constructed. With prompt_truncation set to "AUTO", some elements from chat histories will be dropped in an attempt to construct a prompt that fits within the model's context length limit.
-    required: true
-    default: 'AUTO'
-    options:
-      - 'AUTO'
-      - 'OFF'
-pricing:
-  input: '0.3'
-  output: '0.6'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly.yaml
deleted file mode 100644
index 4616f76689..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-light-nightly.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: command-light-nightly
-label:
-  zh_Hans: command-light-nightly
-  en_US: command-light-nightly
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '0.3'
-  output: '0.6'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-light.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-light.yaml
deleted file mode 100644
index 161756b322..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-light.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: command-light
-label:
-  zh_Hans: command-light
-  en_US: command-light
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '0.3'
-  output: '0.6'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-nightly-chat.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-nightly-chat.yaml
deleted file mode 100644
index 739e09e72e..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-nightly-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: command-nightly-chat
-label:
-  zh_Hans: command-nightly-chat
-  en_US: command-nightly-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-  - name: preamble_override
-    label:
-      zh_Hans: 前导文本
-      en_US: Preamble
-    type: string
-    help:
-      zh_Hans: 当指定时，将使用提供的前导文本替换默认的 Cohere 前导文本。
-      en_US: When specified, the default Cohere preamble will be replaced with the provided one.
-    required: false
-  - name: prompt_truncation
-    label:
-      zh_Hans: 提示截断
-      en_US: Prompt Truncation
-    type: string
-    help:
-      zh_Hans: 指定如何构造 Prompt。当 prompt_truncation 设置为 "AUTO" 时，将会丢弃一些来自聊天记录的元素，以尝试构造一个符合模型上下文长度限制的 Prompt。
-      en_US: Dictates how the prompt will be constructed. With prompt_truncation set to "AUTO", some elements from chat histories will be dropped in an attempt to construct a prompt that fits within the model's context length limit.
-    required: true
-    default: 'AUTO'
-    options:
-      - 'AUTO'
-      - 'OFF'
-pricing:
-  input: '1.0'
-  output: '2.0'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-nightly.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-nightly.yaml
deleted file mode 100644
index 1e025e40c4..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-nightly.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: command-nightly
-label:
-  zh_Hans: command-nightly
-  en_US: command-nightly
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '1.0'
-  output: '2.0'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-r-plus.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-r-plus.yaml
deleted file mode 100644
index 617e6853ea..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-r-plus.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: command-r-plus
-label:
-  en_US: command-r-plus
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '3'
-  output: '15'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command-r.yaml b/api/core/model_runtime/model_providers/cohere/llm/command-r.yaml
deleted file mode 100644
index c36680443b..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command-r.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: command-r
-label:
-  en_US: command-r
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '0.5'
-  output: '1.5'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/command.yaml b/api/core/model_runtime/model_providers/cohere/llm/command.yaml
deleted file mode 100644
index 0cac7c35ea..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/command.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: command
-label:
-  zh_Hans: command
-  en_US: command
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: '1.0'
-  output: '2.0'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/llm/llm.py b/api/core/model_runtime/model_providers/cohere/llm/llm.py
deleted file mode 100644
index a39eb56f71..0000000000
--- a/api/core/model_runtime/model_providers/cohere/llm/llm.py
+++ /dev/null
@@ -1,734 +0,0 @@
-import json
-import logging
-from collections.abc import Generator, Iterator
-from typing import Optional, Union, cast
-
-import cohere
-from cohere import (
-    ChatMessage,
-    ChatStreamRequestToolResultsItem,
-    GenerateStreamedResponse,
-    GenerateStreamedResponse_StreamEnd,
-    GenerateStreamedResponse_StreamError,
-    GenerateStreamedResponse_TextGeneration,
-    Generation,
-    NonStreamedChatResponse,
-    StreamedChatResponse,
-    StreamedChatResponse_StreamEnd,
-    StreamedChatResponse_TextGeneration,
-    StreamedChatResponse_ToolCallsGeneration,
-    Tool,
-    ToolCall,
-    ToolParameterDefinitionsValue,
-)
-from cohere.core import RequestOptions
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageRole,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, I18nObject, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-
-class CohereLargeLanguageModel(LargeLanguageModel):
-    """
-    Model class for Cohere large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # get model mode
-        model_mode = self.get_model_mode(model, credentials)
-
-        if model_mode == LLMMode.CHAT:
-            return self._chat_generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-        else:
-            return self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # get model mode
-        model_mode = self.get_model_mode(model)
-
-        try:
-            if model_mode == LLMMode.CHAT:
-                return self._num_tokens_from_messages(model, credentials, prompt_messages)
-            else:
-                return self._num_tokens_from_string(model, credentials, prompt_messages[0].content)
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # get model mode
-            model_mode = self.get_model_mode(model)
-
-            if model_mode == LLMMode.CHAT:
-                self._chat_generate(
-                    model=model,
-                    credentials=credentials,
-                    prompt_messages=[UserPromptMessage(content="ping")],
-                    model_parameters={
-                        "max_tokens": 20,
-                        "temperature": 0,
-                    },
-                    stream=False,
-                )
-            else:
-                self._generate(
-                    model=model,
-                    credentials=credentials,
-                    prompt_messages=[UserPromptMessage(content="ping")],
-                    model_parameters={
-                        "max_tokens": 20,
-                        "temperature": 0,
-                    },
-                    stream=False,
-                )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-
-        if stop:
-            model_parameters["end_sequences"] = stop
-
-        if stream:
-            response = client.generate_stream(
-                prompt=prompt_messages[0].content,
-                model=model,
-                **model_parameters,
-                request_options=RequestOptions(max_retries=0),
-            )
-
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-        else:
-            response = client.generate(
-                prompt=prompt_messages[0].content,
-                model=model,
-                **model_parameters,
-                request_options=RequestOptions(max_retries=0),
-            )
-
-            return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: Generation, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        assistant_text = response.generations[0].text
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_text)
-
-        # calculate num tokens
-        prompt_tokens = int(response.meta.billed_units.input_tokens)
-        completion_tokens = int(response.meta.billed_units.output_tokens)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage
-        )
-
-        return response
-
-    def _handle_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Iterator[GenerateStreamedResponse],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        index = 1
-        full_assistant_content = ""
-        for chunk in response:
-            if isinstance(chunk, GenerateStreamedResponse_TextGeneration):
-                chunk = cast(GenerateStreamedResponse_TextGeneration, chunk)
-                text = chunk.text
-
-                if text is None:
-                    continue
-
-                # transform assistant message to prompt message
-                assistant_prompt_message = AssistantPromptMessage(content=text)
-
-                full_assistant_content += text
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                index += 1
-            elif isinstance(chunk, GenerateStreamedResponse_StreamEnd):
-                chunk = cast(GenerateStreamedResponse_StreamEnd, chunk)
-
-                # calculate num tokens
-                prompt_tokens = self._num_tokens_from_messages(model, credentials, prompt_messages)
-                completion_tokens = self._num_tokens_from_messages(
-                    model, credentials, [AssistantPromptMessage(content=full_assistant_content)]
-                )
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason=chunk.finish_reason,
-                        usage=usage,
-                    ),
-                )
-                break
-            elif isinstance(chunk, GenerateStreamedResponse_StreamError):
-                chunk = cast(GenerateStreamedResponse_StreamError, chunk)
-                raise InvokeBadRequestError(chunk.err)
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm chat model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-
-        if stop:
-            model_parameters["stop_sequences"] = stop
-
-        if tools:
-            if len(tools) == 1:
-                raise ValueError("Cohere tool call requires at least two tools to be specified.")
-
-            model_parameters["tools"] = self._convert_tools(tools)
-
-        message, chat_histories, tool_results = self._convert_prompt_messages_to_message_and_chat_histories(
-            prompt_messages
-        )
-
-        if tool_results:
-            model_parameters["tool_results"] = tool_results
-
-        # chat model
-        real_model = model
-        if self.get_model_schema(model, credentials).fetch_from == FetchFrom.PREDEFINED_MODEL:
-            real_model = model.removesuffix("-chat")
-
-        if stream:
-            response = client.chat_stream(
-                message=message,
-                chat_history=chat_histories,
-                model=real_model,
-                **model_parameters,
-                request_options=RequestOptions(max_retries=0),
-            )
-
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages)
-        else:
-            response = client.chat(
-                message=message,
-                chat_history=chat_histories,
-                model=real_model,
-                **model_parameters,
-                request_options=RequestOptions(max_retries=0),
-            )
-
-            return self._handle_chat_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_chat_generate_response(
-        self, model: str, credentials: dict, response: NonStreamedChatResponse, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        assistant_text = response.text
-
-        tool_calls = []
-        if response.tool_calls:
-            for cohere_tool_call in response.tool_calls:
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=cohere_tool_call.name,
-                    type="function",
-                    function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                        name=cohere_tool_call.name, arguments=json.dumps(cohere_tool_call.parameters)
-                    ),
-                )
-                tool_calls.append(tool_call)
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_text, tool_calls=tool_calls)
-
-        # calculate num tokens
-        prompt_tokens = self._num_tokens_from_messages(model, credentials, prompt_messages)
-        completion_tokens = self._num_tokens_from_messages(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage
-        )
-
-        return response
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Iterator[StreamedChatResponse],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-
-        def final_response(
-            full_text: str,
-            tool_calls: list[AssistantPromptMessage.ToolCall],
-            index: int,
-            finish_reason: Optional[str] = None,
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(model, credentials, prompt_messages)
-
-            full_assistant_prompt_message = AssistantPromptMessage(content=full_text, tool_calls=tool_calls)
-            completion_tokens = self._num_tokens_from_messages(model, credentials, [full_assistant_prompt_message])
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=index,
-                    message=AssistantPromptMessage(content="", tool_calls=tool_calls),
-                    finish_reason=finish_reason,
-                    usage=usage,
-                ),
-            )
-
-        index = 1
-        full_assistant_content = ""
-        tool_calls = []
-        for chunk in response:
-            if isinstance(chunk, StreamedChatResponse_TextGeneration):
-                chunk = cast(StreamedChatResponse_TextGeneration, chunk)
-                text = chunk.text
-
-                if text is None:
-                    continue
-
-                # transform assistant message to prompt message
-                assistant_prompt_message = AssistantPromptMessage(content=text)
-
-                full_assistant_content += text
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                index += 1
-            elif isinstance(chunk, StreamedChatResponse_ToolCallsGeneration):
-                chunk = cast(StreamedChatResponse_ToolCallsGeneration, chunk)
-                if chunk.tool_calls:
-                    for cohere_tool_call in chunk.tool_calls:
-                        tool_call = AssistantPromptMessage.ToolCall(
-                            id=cohere_tool_call.name,
-                            type="function",
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=cohere_tool_call.name, arguments=json.dumps(cohere_tool_call.parameters)
-                            ),
-                        )
-                        tool_calls.append(tool_call)
-            elif isinstance(chunk, StreamedChatResponse_StreamEnd):
-                chunk = cast(StreamedChatResponse_StreamEnd, chunk)
-                yield final_response(full_assistant_content, tool_calls, index, chunk.finish_reason)
-                index += 1
-
-    def _convert_prompt_messages_to_message_and_chat_histories(
-        self, prompt_messages: list[PromptMessage]
-    ) -> tuple[str, list[ChatMessage], list[ChatStreamRequestToolResultsItem]]:
-        """
-        Convert prompt messages to message and chat histories
-        :param prompt_messages: prompt messages
-        :return:
-        """
-        chat_histories = []
-        latest_tool_call_n_outputs = []
-        for prompt_message in prompt_messages:
-            if prompt_message.role == PromptMessageRole.ASSISTANT:
-                prompt_message = cast(AssistantPromptMessage, prompt_message)
-                if prompt_message.tool_calls:
-                    for tool_call in prompt_message.tool_calls:
-                        latest_tool_call_n_outputs.append(
-                            ChatStreamRequestToolResultsItem(
-                                call=ToolCall(
-                                    name=tool_call.function.name, parameters=json.loads(tool_call.function.arguments)
-                                ),
-                                outputs=[],
-                            )
-                        )
-                else:
-                    cohere_prompt_message = self._convert_prompt_message_to_dict(prompt_message)
-                    if cohere_prompt_message:
-                        chat_histories.append(cohere_prompt_message)
-            elif prompt_message.role == PromptMessageRole.TOOL:
-                prompt_message = cast(ToolPromptMessage, prompt_message)
-                if latest_tool_call_n_outputs:
-                    i = 0
-                    for tool_call_n_outputs in latest_tool_call_n_outputs:
-                        if tool_call_n_outputs.call.name == prompt_message.tool_call_id:
-                            latest_tool_call_n_outputs[i] = ChatStreamRequestToolResultsItem(
-                                call=ToolCall(
-                                    name=tool_call_n_outputs.call.name, parameters=tool_call_n_outputs.call.parameters
-                                ),
-                                outputs=[{"result": prompt_message.content}],
-                            )
-                            break
-                        i += 1
-            else:
-                cohere_prompt_message = self._convert_prompt_message_to_dict(prompt_message)
-                if cohere_prompt_message:
-                    chat_histories.append(cohere_prompt_message)
-
-        if latest_tool_call_n_outputs:
-            new_latest_tool_call_n_outputs = []
-            for tool_call_n_outputs in latest_tool_call_n_outputs:
-                if tool_call_n_outputs.outputs:
-                    new_latest_tool_call_n_outputs.append(tool_call_n_outputs)
-
-            latest_tool_call_n_outputs = new_latest_tool_call_n_outputs
-
-        # get latest message from chat histories and pop it
-        if len(chat_histories) > 0:
-            latest_message = chat_histories.pop()
-            message = latest_message.message
-        else:
-            raise ValueError("Prompt messages is empty")
-
-        return message, chat_histories, latest_tool_call_n_outputs
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> Optional[ChatMessage]:
-        """
-        Convert PromptMessage to dict for Cohere model
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                chat_message = ChatMessage(role="USER", message=message.content)
-            else:
-                sub_message_text = ""
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_text += message_content.data
-
-                chat_message = ChatMessage(role="USER", message=sub_message_text)
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            if not message.content:
-                return None
-            chat_message = ChatMessage(role="CHATBOT", message=message.content)
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            chat_message = ChatMessage(role="USER", message=message.content)
-        elif isinstance(message, ToolPromptMessage):
-            return None
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return chat_message
-
-    def _convert_tools(self, tools: list[PromptMessageTool]) -> list[Tool]:
-        """
-        Convert tools to Cohere model
-        """
-        cohere_tools = []
-        for tool in tools:
-            properties = tool.parameters["properties"]
-            required_properties = tool.parameters["required"]
-
-            parameter_definitions = {}
-            for p_key, p_val in properties.items():
-                required = False
-                if p_key in required_properties:
-                    required = True
-
-                desc = p_val["description"]
-                if "enum" in p_val:
-                    desc += f"; Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]"
-
-                parameter_definitions[p_key] = ToolParameterDefinitionsValue(
-                    description=desc, type=p_val["type"], required=required
-                )
-
-            cohere_tool = Tool(
-                name=tool.name, description=tool.description, parameter_definitions=parameter_definitions
-            )
-
-            cohere_tools.append(cohere_tool)
-
-        return cohere_tools
-
-    def _num_tokens_from_string(self, model: str, credentials: dict, text: str) -> int:
-        """
-        Calculate num tokens for text completion model.
-
-        :param model: model name
-        :param credentials: credentials
-        :param text: prompt text
-        :return: number of tokens
-        """
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-
-        response = client.tokenize(text=text, model=model)
-
-        return len(response.tokens)
-
-    def _num_tokens_from_messages(self, model: str, credentials: dict, messages: list[PromptMessage]) -> int:
-        """Calculate num tokens Cohere model."""
-        calc_messages = []
-        for message in messages:
-            cohere_message = self._convert_prompt_message_to_dict(message)
-            if cohere_message:
-                calc_messages.append(cohere_message)
-        message_strs = [f"{message.role}: {message.message}" for message in calc_messages]
-        message_str = "\n".join(message_strs)
-
-        real_model = model
-        if self.get_model_schema(model, credentials).fetch_from == FetchFrom.PREDEFINED_MODEL:
-            real_model = model.removesuffix("-chat")
-
-        return self._num_tokens_from_string(real_model, credentials, message_str)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        Cohere supports fine-tuning of their models. This method returns the schema of the base model
-        but renamed to the fine-tuned model name.
-
-        :param model: model name
-        :param credentials: credentials
-
-        :return: model schema
-        """
-        mode = credentials.get("mode")
-        base_model_schema = None
-        for predefined_model in self.predefined_models():
-            if (
-                mode == "chat" and predefined_model.model == "command-light-chat"
-            ) or predefined_model.model == "command-light":
-                base_model_schema = predefined_model
-                break
-
-        if not base_model_schema:
-            raise ValueError("Model not found")
-
-        base_model_schema = cast(AIModelEntity, base_model_schema)
-
-        base_model_schema_features = base_model_schema.features or []
-        base_model_schema_model_properties = base_model_schema.model_properties
-        base_model_schema_parameters_rules = base_model_schema.parameter_rules
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(zh_Hans=model, en_US=model),
-            model_type=ModelType.LLM,
-            features=list(base_model_schema_features),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties=dict(base_model_schema_model_properties.items()),
-            parameter_rules=list(base_model_schema_parameters_rules),
-            pricing=base_model_schema.pricing,
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [cohere.errors.service_unavailable_error.ServiceUnavailableError],
-            InvokeServerUnavailableError: [cohere.errors.internal_server_error.InternalServerError],
-            InvokeRateLimitError: [cohere.errors.too_many_requests_error.TooManyRequestsError],
-            InvokeAuthorizationError: [
-                cohere.errors.unauthorized_error.UnauthorizedError,
-                cohere.errors.forbidden_error.ForbiddenError,
-            ],
-            InvokeBadRequestError: [
-                cohere.core.api_error.ApiError,
-                cohere.errors.bad_request_error.BadRequestError,
-                cohere.errors.not_found_error.NotFoundError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/__init__.py b/api/core/model_runtime/model_providers/cohere/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml b/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml
deleted file mode 100644
index 2f6f80ab74..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-- rerank-english-v2.0
-- rerank-english-v3.0
-- rerank-multilingual-v2.0
-- rerank-multilingual-v3.0
-- rerank-v3.5
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v2.0.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v2.0.yaml
deleted file mode 100644
index 70b4a91a0d..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v2.0.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-english-v2.0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v3.0.yaml
deleted file mode 100644
index 3779f0b6c2..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank-english-v3.0.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-english-v3.0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v2.0.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v2.0.yaml
deleted file mode 100644
index c9b90387cf..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v2.0.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-multilingual-v2.0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v3.0.yaml
deleted file mode 100644
index 4f6690ba76..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank-multilingual-v3.0.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-multilingual-v3.0
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml
deleted file mode 100644
index 5de71fb989..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-v3.5
-model_type: rerank
-model_properties:
-  context_size: 5120
diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank.py b/api/core/model_runtime/model_providers/cohere/rerank/rerank.py
deleted file mode 100644
index 3a0a241f7e..0000000000
--- a/api/core/model_runtime/model_providers/cohere/rerank/rerank.py
+++ /dev/null
@@ -1,125 +0,0 @@
-from typing import Optional
-
-import cohere
-from cohere.core import RequestOptions
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class CohereRerankModel(RerankModel):
-    """
-    Model class for Cohere rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-        response = client.rerank(
-            query=query,
-            documents=docs,
-            model=model,
-            top_n=top_n,
-            return_documents=True,
-            request_options=RequestOptions(max_retries=0),
-        )
-
-        rerank_documents = []
-        for idx, result in enumerate(response.results):
-            # format document
-            rerank_document = RerankDocument(
-                index=result.index,
-                text=result.document.text if result.document else "",
-                score=result.relevance_score,
-            )
-
-            # score threshold check
-            if score_threshold is not None:
-                if result.relevance_score >= score_threshold:
-                    rerank_documents.append(rerank_document)
-            else:
-                rerank_documents.append(rerank_document)
-
-        return RerankResult(model=model, docs=rerank_documents)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self.invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [cohere.errors.service_unavailable_error.ServiceUnavailableError],
-            InvokeServerUnavailableError: [cohere.errors.internal_server_error.InternalServerError],
-            InvokeRateLimitError: [cohere.errors.too_many_requests_error.TooManyRequestsError],
-            InvokeAuthorizationError: [
-                cohere.errors.unauthorized_error.UnauthorizedError,
-                cohere.errors.forbidden_error.ForbiddenError,
-            ],
-            InvokeBadRequestError: [
-                cohere.core.api_error.ApiError,
-                cohere.errors.bad_request_error.BadRequestError,
-                cohere.errors.not_found_error.NotFoundError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/__init__.py b/api/core/model_runtime/model_providers/cohere/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/_position.yaml
deleted file mode 100644
index 967a946f34..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/_position.yaml
+++ /dev/null
@@ -1,7 +0,0 @@
-- embed-multilingual-v3.0
-- embed-multilingual-light-v3.0
-- embed-english-v3.0
-- embed-english-light-v3.0
-- embed-multilingual-v2.0
-- embed-english-v2.0
-- embed-english-light-v2.0
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v2.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v2.0.yaml
deleted file mode 100644
index 8d2aaf1737..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v2.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-english-light-v2.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v3.0.yaml
deleted file mode 100644
index 43b79922e3..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-light-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-english-light-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 384
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v2.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v2.0.yaml
deleted file mode 100644
index acee82b202..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v2.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-english-v2.0
-model_type: text-embedding
-model_properties:
-  context_size: 4096
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v3.0.yaml
deleted file mode 100644
index 0ad713253e..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-english-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-english-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-light-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-light-v3.0.yaml
deleted file mode 100644
index c253067233..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-light-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-multilingual-light-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 384
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v2.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v2.0.yaml
deleted file mode 100644
index 4dbc37d5e8..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v2.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-multilingual-v2.0
-model_type: text-embedding
-model_properties:
-  context_size: 768
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v3.0.yaml b/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v3.0.yaml
deleted file mode 100644
index ec689ada1b..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/embed-multilingual-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embed-multilingual-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/cohere/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/cohere/text_embedding/text_embedding.py
deleted file mode 100644
index 9e4df27060..0000000000
--- a/api/core/model_runtime/model_providers/cohere/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,226 +0,0 @@
-import time
-from typing import Optional
-
-import cohere
-import numpy as np
-from cohere.core import RequestOptions
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class CohereTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Cohere text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        embeddings: list[list[float]] = [[] for _ in range(len(texts))]
-        tokens = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            tokenize_response = self._tokenize(model=model, credentials=credentials, text=text)
-
-            for j in range(0, len(tokenize_response), context_size):
-                tokens += [tokenize_response[j : j + context_size]]
-                indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(tokens), max_chunks)
-
-        for i in _iter:
-            # call embedding model
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model, credentials=credentials, texts=["".join(token) for token in tokens[i : i + max_chunks]]
-            )
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        results: list[list[list[float]]] = [[] for _ in range(len(texts))]
-        num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))]
-        for i in range(len(indices)):
-            results[indices[i]].append(batched_embeddings[i])
-            num_tokens_in_batch[indices[i]].append(len(tokens[i]))
-
-        for i in range(len(texts)):
-            _result = results[i]
-            if len(_result) == 0:
-                embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                    model=model, credentials=credentials, texts=[" "]
-                )
-
-                used_tokens += embedding_used_tokens
-                average = embeddings_batch[0]
-            else:
-                average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
-            embedding = (average / np.linalg.norm(average)).tolist()
-            if np.isnan(embedding).any():
-                raise ValueError("Normalized embedding is nan please try again")
-            embeddings[i] = embedding
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-
-        full_text = " ".join(texts)
-
-        try:
-            response = self._tokenize(model=model, credentials=credentials, text=full_text)
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-        return len(response)
-
-    def _tokenize(self, model: str, credentials: dict, text: str) -> list[str]:
-        """
-        Tokenize text
-        :param model: model name
-        :param credentials: model credentials
-        :param text: text to tokenize
-        :return:
-        """
-        if not text:
-            return []
-
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-
-        response = client.tokenize(text=text, model=model, offline=False, request_options=RequestOptions(max_retries=0))
-
-        return response.token_strings
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # call embedding model
-            self._embedding_invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int]:
-        """
-        Invoke embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return: embeddings and used tokens
-        """
-        # initialize client
-        client = cohere.Client(credentials.get("api_key"), base_url=credentials.get("base_url"))
-
-        # call embedding model
-        response = client.embed(
-            texts=texts,
-            model=model,
-            input_type="search_document" if len(texts) > 1 else "search_query",
-            request_options=RequestOptions(max_retries=1),
-        )
-
-        return response.embeddings, int(response.meta.billed_units.input_tokens)
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [cohere.errors.service_unavailable_error.ServiceUnavailableError],
-            InvokeServerUnavailableError: [cohere.errors.internal_server_error.InternalServerError],
-            InvokeRateLimitError: [cohere.errors.too_many_requests_error.TooManyRequestsError],
-            InvokeAuthorizationError: [
-                cohere.errors.unauthorized_error.UnauthorizedError,
-                cohere.errors.forbidden_error.ForbiddenError,
-            ],
-            InvokeBadRequestError: [
-                cohere.core.api_error.ApiError,
-                cohere.errors.bad_request_error.BadRequestError,
-                cohere.errors.not_found_error.NotFoundError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/deepseek/__init__.py b/api/core/model_runtime/model_providers/deepseek/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/deepseek/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/deepseek/_assets/icon_l_en.svg
deleted file mode 100644
index 425494404f..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,22 +0,0 @@
-<svg width="195.000000" height="41.359375" viewBox="0 0 195 41.3594" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-	<desc>
-			Created with Pixso.
-	</desc>
-	<defs>
-		<clipPath id="clip30_2029">
-			<rect id="_图层_1" width="134.577469" height="25.511124" transform="translate(60.422485 10.022217)" fill="white"/>
-		</clipPath>
-	</defs>
-	<g clip-path="url(#clip30_2029)">
-		<path id="path" d="M119.508 30.113L117.562 30.113L117.562 27.0967L119.508 27.0967C120.713 27.0967 121.931 26.7961 122.715 25.9614C123.5 25.1265 123.796 23.8464 123.796 22.5664C123.796 21.2864 123.512 20.0063 122.715 19.1716C121.919 18.3369 120.713 18.0364 119.508 18.0364C118.302 18.0364 117.085 18.3369 116.3 19.1716C115.515 20.0063 115.219 21.2864 115.219 22.5664L115.219 34.9551L111.806 34.9551L111.806 15.031L115.219 15.031L115.219 16.2998L115.845 16.2998C115.913 16.2219 115.981 16.1553 116.049 16.0884C116.903 15.3093 118.211 15.031 119.496 15.031C121.51 15.031 123.523 15.532 124.843 16.9233C126.162 18.3145 126.629 20.4517 126.629 22.5776C126.629 24.7036 126.151 26.8296 124.843 28.2319C123.535 29.6345 121.51 30.113 119.508 30.113Z" fill-rule="nonzero" fill="#4D6BFE"/>
-		<path id="path" d="M67.5664 15.5654L69.5117 15.5654L69.5117 18.5818L67.5664 18.5818C66.3606 18.5818 65.1434 18.8823 64.3585 19.717C63.5736 20.552 63.2778 21.832 63.2778 23.1121C63.2778 24.3921 63.5623 25.6721 64.3585 26.5068C65.1548 27.3418 66.3606 27.6423 67.5664 27.6423C68.7722 27.6423 69.9895 27.3418 70.7744 26.5068C71.5593 25.6721 71.8551 24.3921 71.8551 23.1121L71.8551 10.7124L75.2677 10.7124L75.2677 30.6475L71.8551 30.6475L71.8551 29.3787L71.2294 29.3787C71.1611 29.4565 71.0929 29.5234 71.0247 29.5901C70.1715 30.3691 68.8633 30.6475 67.5779 30.6475C65.5643 30.6475 63.5509 30.1467 62.2313 28.7554C60.9117 27.364 60.4453 25.2268 60.4453 23.1008C60.4453 20.9749 60.9231 18.8489 62.2313 17.4465C63.5509 16.0552 65.5643 15.5654 67.5664 15.5654Z" fill-rule="nonzero" fill="#4D6BFE"/>
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diff --git a/api/core/model_runtime/model_providers/deepseek/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/deepseek/_assets/icon_s_en.svg
deleted file mode 100644
index aa854a7504..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="60" height="50" viewBox="0 0 60 50" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
-    <path id="path" d="M55.613,3.471C55.018,3.179 54.761,3.735 54.413,4.018C54.294,4.109 54.193,4.227 54.092,4.337C53.222,5.266 52.206,5.876 50.878,5.803C48.936,5.694 47.278,6.305 45.813,7.79C45.501,5.959 44.466,4.865 42.891,4.164C42.067,3.799 41.233,3.435 40.656,2.642C40.253,2.077 40.143,1.448 39.942,0.829C39.814,0.455 39.685,0.073 39.255,0.009C38.788,-0.064 38.605,0.328 38.421,0.656C37.689,1.995 37.405,3.471 37.432,4.965C37.496,8.327 38.916,11.006 41.737,12.91C42.058,13.129 42.14,13.347 42.039,13.666C41.847,14.323 41.618,14.96 41.416,15.616C41.288,16.035 41.096,16.127 40.647,15.944C39.099,15.297 37.762,14.341 36.58,13.184C34.575,11.243 32.761,9.102 30.499,7.425C29.968,7.033 29.436,6.669 28.887,6.323C26.579,4.082 29.189,2.241 29.794,2.022C30.425,1.795 30.013,1.011 27.971,1.02C25.928,1.029 24.06,1.713 21.679,2.624C21.331,2.761 20.964,2.861 20.589,2.943C18.427,2.533 16.183,2.441 13.838,2.706C9.424,3.198 5.898,5.284 3.306,8.847C0.191,13.129 -0.541,17.994 0.356,23.069C1.3,28.417 4.029,32.845 8.224,36.308C12.575,39.897 17.584,41.656 23.3,41.319C26.771,41.118 30.636,40.654 34.996,36.964C36.095,37.51 37.249,37.729 39.163,37.893C40.638,38.03 42.058,37.82 43.157,37.592C44.878,37.228 44.759,35.633 44.137,35.342C39.09,32.991 40.198,33.948 39.191,33.173C41.755,30.139 45.62,26.987 47.132,16.773C47.251,15.962 47.15,15.452 47.132,14.796C47.122,14.395 47.214,14.241 47.672,14.195C48.936,14.049 50.163,13.703 51.29,13.083C54.56,11.298 55.878,8.364 56.19,4.847C56.236,4.309 56.181,3.753 55.613,3.471ZM27.119,35.123C22.228,31.278 19.856,30.012 18.876,30.066C17.96,30.121 18.125,31.169 18.326,31.852C18.537,32.526 18.812,32.991 19.196,33.583C19.462,33.975 19.645,34.558 18.931,34.996C17.356,35.971 14.617,34.667 14.489,34.604C11.301,32.727 8.636,30.249 6.758,26.859C4.945,23.597 3.892,20.099 3.718,16.363C3.672,15.461 3.938,15.142 4.835,14.979C6.017,14.76 7.235,14.714 8.416,14.887C13.408,15.616 17.658,17.848 21.221,21.384C23.254,23.397 24.793,25.802 26.377,28.153C28.062,30.649 29.876,33.028 32.184,34.977C32.999,35.661 33.649,36.18 34.272,36.563C32.395,36.772 29.262,36.818 27.119,35.123ZM29.464,20.044C29.464,19.643 29.784,19.325 30.187,19.325C30.279,19.325 30.361,19.343 30.435,19.37C30.535,19.407 30.627,19.461 30.7,19.543C30.828,19.671 30.902,19.853 30.902,20.044C30.902,20.445 30.581,20.764 30.178,20.764C29.775,20.764 29.464,20.445 29.464,20.044ZM36.745,23.78C36.278,23.971 35.811,24.135 35.362,24.153C34.666,24.19 33.906,23.907 33.494,23.561C32.853,23.023 32.395,22.723 32.202,21.784C32.12,21.384 32.166,20.764 32.239,20.409C32.404,19.643 32.221,19.151 31.68,18.705C31.241,18.34 30.682,18.24 30.068,18.24C29.839,18.24 29.629,18.14 29.473,18.058C29.216,17.93 29.006,17.612 29.207,17.22C29.271,17.092 29.583,16.783 29.656,16.728C30.49,16.254 31.451,16.409 32.34,16.764C33.164,17.101 33.787,17.721 34.684,18.596C35.6,19.652 35.765,19.944 36.287,20.737C36.7,21.356 37.075,21.994 37.331,22.723C37.487,23.179 37.286,23.552 36.745,23.78Z" style="fill:rgb(77,107,254);fill-rule:nonzero;"/>
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diff --git a/api/core/model_runtime/model_providers/deepseek/deepseek.py b/api/core/model_runtime/model_providers/deepseek/deepseek.py
deleted file mode 100644
index 10feef8972..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/deepseek.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class DeepSeekProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `deepseek-chat` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="deepseek-chat", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/deepseek/deepseek.yaml b/api/core/model_runtime/model_providers/deepseek/deepseek.yaml
deleted file mode 100644
index 16abd358d6..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/deepseek.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-provider: deepseek
-label:
-  en_US: deepseek
-  zh_Hans: 深度求索
-description:
-  en_US: Models provided by deepseek, such as deepseek-chat、deepseek-coder.
-  zh_Hans: 深度求索提供的模型，例如 deepseek-chat、deepseek-coder 。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#c0cdff"
-help:
-  title:
-    en_US: Get your API Key from deepseek
-    zh_Hans: 从深度求索获取 API Key
-  url:
-    en_US: https://platform.deepseek.com/api_keys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        zh_Hans: 自定义 API endpoint 地址
-        en_US: Custom API endpoint URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: Base URL, e.g. https://api.deepseek.com/v1 or https://api.deepseek.com
-        en_US: Base URL, e.g. https://api.deepseek.com/v1 or https://api.deepseek.com
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/__init__.py b/api/core/model_runtime/model_providers/deepseek/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml b/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml
deleted file mode 100644
index eeac8aa405..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/llm/_position.yaml
+++ /dev/null
@@ -1,3 +0,0 @@
-- deepseek-chat
-- deepseek-coder
-- deepseek-reasoner
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml
deleted file mode 100644
index a87f964a9e..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-chat.yaml
+++ /dev/null
@@ -1,79 +0,0 @@
-model: deepseek-chat
-label:
-  zh_Hans: deepseek-chat
-  en_US: deepseek-chat
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 1
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 1
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-  - name: logprobs
-    help:
-      zh_Hans: 是否返回所输出 token 的对数概率。如果为 true，则在 message 的 content 中返回每个输出 token 的对数概率。
-      en_US: Whether to return the log probability of the output token. If true, returns the log probability of each output token in the content of message .
-    type: boolean
-  - name: top_logprobs
-    type: int
-    default: 0
-    min: 0
-    max: 20
-    help:
-      zh_Hans: 一个介于 0 到 20 之间的整数 N，指定每个输出位置返回输出概率 top N 的 token，且返回这些 token 的对数概率。指定此参数时，logprobs 必须为 true。
-      en_US: An integer N between 0 and 20, specifying that each output position returns the top N tokens with output probability, and returns the logarithmic probability of these tokens. When specifying this parameter, logprobs must be true.
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    default: 0
-    min: -2.0
-    max: 2.0
-    help:
-      zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
-      en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "1"
-  output: "2"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml
deleted file mode 100644
index ca9ba8cbf1..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-coder.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-model: deepseek-coder
-label:
-  zh_Hans: deepseek-coder
-  en_US: deepseek-coder
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml b/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
deleted file mode 100644
index a62bd7e7aa..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/llm/deepseek-reasoner.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-reasoner
-label:
-  zh_Hans: deepseek-reasoner
-  en_US: deepseek-reasoner
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "4"
-  output: "16"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/deepseek/llm/llm.py b/api/core/model_runtime/model_providers/deepseek/llm/llm.py
deleted file mode 100644
index 610dc7b458..0000000000
--- a/api/core/model_runtime/model_providers/deepseek/llm/llm.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from yarl import URL
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @staticmethod
-    def _add_custom_parameters(credentials) -> None:
-        credentials["endpoint_url"] = str(URL(credentials.get("endpoint_url", "https://api.deepseek.com")))
-        credentials["mode"] = LLMMode.CHAT.value
-        credentials["function_calling_type"] = "tool_call"
-        credentials["stream_function_calling"] = "support"
diff --git a/api/core/model_runtime/model_providers/fireworks/__init__.py b/api/core/model_runtime/model_providers/fireworks/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/fireworks/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/fireworks/_assets/icon_l_en.svg
deleted file mode 100644
index 582605cc42..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="130" role="graphics-symbol" aria-label="Fireworks AI Home" viewBox="0 0 835 130" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M112.65 0L91.33 51.09L69.99 0H56.3L79.69 55.85C81.63 60.51 86.18 63.52 91.25 63.52C96.32 63.52 100.86 60.51 102.81 55.87L126.34 0H112.65ZM121.76 77.84L160.76 38.41L155.44 25.86L112.84 69.01C109.28 72.62 108.26 77.94 110.23 82.6C112.19 87.22 116.72 90.21 121.77 90.21L121.79 90.23L182.68 90.08L177.36 77.53L121.77 77.84H121.76ZM21.92 38.38L27.24 25.83L69.84 68.98C73.4 72.58 74.43 77.92 72.45 82.57C70.49 87.2 65.94 90.18 60.91 90.18L0.02 90.04L0 90.06L5.32 77.51L60.91 77.82L21.92 38.38Z" fill="#6720FF"></path>
-<path d="M231.32 85.2198L231.33 85.2298H241.8V49.1698H275.62V39.8198H241.8V16.3598H279V7.00977H231.32V85.2198Z" class="fill-black dark:fill-white"></path><path d="M299.68 28.73H289.86V85.22H299.68V28.73Z" class="fill-black dark:fill-white"></path><path d="M324.58 36.2198H324.59C324.37 36.7598 324.16 37.0898 323.5 37.0898C322.95 37.0898 322.74 36.8798 322.74 36.3398V28.7298H312.92V85.2198H322.72V53.1598C322.72 42.3098 327.75 38.0698 337.24 38.0698H345.1V28.5098H338.77C331.03 28.5098 327.1 30.7898 324.58 36.2198Z" class="fill-black dark:fill-white"></path><path d="M377.76 78.3996C367.23 78.3996 359.37 72.4196 358.71 59.7196H404.6V54.2796C404.6 38.5296 395 27.1196 377.53 27.1196C360.06 27.1196 348.93 38.5296 348.93 56.9896C348.93 75.4496 359.73 86.8596 377.74 86.8596C395.75 86.8596 403.15 75.8996 404.81 67.3196H394.57C392.98 73.7396 388.29 78.3996 377.76 78.3996ZM377.53 35.5696C387.91 35.5696 394.33 41.1196 394.78 51.5496H358.98C360.61 40.8896 368.14 35.5696 377.53 35.5696Z" class="fill-black dark:fill-white"></path><path d="M474.29 74.68C474.05 75.66 473.75 75.99 472.97 75.99C472.19 75.99 471.86 75.66 471.65 74.68L460.73 28.73H443.81L432.89 74.68C432.65 75.66 432.35 75.99 431.57 75.99C430.79 75.99 430.46 75.66 430.25 74.68L419.33 28.73H409.73V30.91H409.79L423.11 85.22H439.97L451.22 37.85C451.43 37.08 451.64 36.87 452.3 36.87C452.84 36.87 453.17 37.1 453.38 37.85L464.63 85.22H481.49L494.81 30.91V28.73H485.21L474.29 74.68Z" class="fill-black dark:fill-white"></path><path d="M529.05 27.1099C512.56 27.1099 499.47 37.4199 499.47 56.9799C499.47 76.5399 512.55 86.8499 529.05 86.8499C545.55 86.8499 558.64 76.5399 558.64 56.9799C558.64 37.4199 545.54 27.1099 529.05 27.1099ZM529.07 78.1599C517.61 78.1599 509.42 70.5699 509.42 56.9799C509.42 43.3899 517.61 35.7999 529.07 35.7999C540.53 35.7999 548.72 43.4099 548.72 56.9799C548.72 70.5499 540.53 78.1599 529.07 78.1599Z" class="fill-black dark:fill-white"></path><path d="M580.68 36.2198C580.47 36.7598 580.26 37.0898 579.6 37.0898C579.05 37.0898 578.841 36.8798 578.841 36.3398V28.7298H569.021V85.2098H578.82V53.1598C578.82 42.3098 583.851 38.0698 593.341 38.0698H601.201V28.5098H594.87C587.13 28.5098 583.2 30.7898 580.68 36.2198Z" class="fill-black dark:fill-white"></path><path d="M618.591 55.0198V7.00977H608.771V85.2698H618.591V67.2298L629.24 58.1498L650.42 85.2498H661.16V83.0698L636.49 51.9398L661.16 30.9098V28.7298H648.54L618.591 55.0198Z" class="fill-black dark:fill-white"></path><path d="M695.19 52.8899L687.12 51.3699C679.38 49.8999 675.99 48.2799 675.99 43.5999C675.99 38.9199 679.82 35.4499 688.98 35.4499C698.14 35.4499 703.38 38.9399 704.14 46.6499H714.14C713.03 32.8799 702.34 27.1299 688.94 27.1299C675.54 27.1299 666.13 32.8899 666.13 43.7399C666.13 54.5899 673.83 58.3499 684.91 60.4099L692.98 61.9299C700.84 63.3999 704.77 65.0899 704.77 69.9699C704.77 74.8499 700.83 78.4899 691.35 78.4899C681.87 78.4899 675.58 74.5799 674.82 67.0799H664.83C665.76 80.5499 676.73 86.8499 691.36 86.8499C705.99 86.8499 714.61 80.6099 714.61 69.4099C714.61 58.2099 705.55 54.8399 695.19 52.8899Z" class="fill-black dark:fill-white"></path><path d="M834.64 7.00977H823.63V85.2698H834.64V7.00977Z" class="fill-black dark:fill-white"></path><path d="M770.23 7.77L739.71 83.8398V85.2698H750.61L758.34 64.8398H795.08L802.81 85.2698H814.04V83.8598L783.3 7.00977H770.23ZM761.97 55.3798L775.09 21.0098H775.08C775.3 20.4198 775.87 20.0298 776.5 20.0298H777.04C777.67 20.0298 778.24 20.4198 778.46 21.0098L791.48 55.3798H761.97Z" class="fill-black dark:fill-white"></path><path d="M299.68 7.00977H289.86V18.5298H299.68V7.00977Z" class="fill-black dark:fill-white"></path></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/fireworks/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/fireworks/_assets/icon_s_en.svg
deleted file mode 100644
index 86eeba66f9..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,5 +0,0 @@
-<svg width="638" height="315" viewBox="0 0 638 315" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M318.563 221.755C300.863 221.755 284.979 211.247 278.206 194.978L196.549 0H244.342L318.842 178.361L393.273 0H441.066L358.92 195.048C352.112 211.247 336.263 221.755 318.563 221.755Z" fill="#6720FF"/>
-<path d="M425.111 314.933C407.481 314.933 391.667 304.494 384.824 288.366C377.947 272.097 381.507 253.524 393.936 240.921L542.657 90.2803L561.229 134.094L425.076 271.748L619.147 270.666L637.72 314.479L425.146 315.003L425.076 314.933H425.111Z" fill="#6720FF"/>
-<path d="M0 314.408L18.5727 270.595L212.643 271.677L76.525 133.988L95.0977 90.1748L243.819 240.816C256.247 253.384 259.843 272.026 252.93 288.26C246.088 304.424 230.203 314.827 212.643 314.827L0.0698221 314.339L0 314.408Z" fill="#6720FF"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/fireworks/_common.py b/api/core/model_runtime/model_providers/fireworks/_common.py
deleted file mode 100644
index 38d0a9dfbc..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/_common.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import openai
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonFireworks:
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["fireworks_api_key"],
-            "base_url": "https://api.fireworks.ai/inference/v1",
-            "max_retries": 1,
-        }
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
-            InvokeServerUnavailableError: [openai.InternalServerError],
-            InvokeRateLimitError: [openai.RateLimitError],
-            InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
-            InvokeBadRequestError: [
-                openai.BadRequestError,
-                openai.NotFoundError,
-                openai.UnprocessableEntityError,
-                openai.APIError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/fireworks/fireworks.py b/api/core/model_runtime/model_providers/fireworks/fireworks.py
deleted file mode 100644
index 15f25badab..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/fireworks.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class FireworksProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-            model_instance.validate_credentials(
-                model="accounts/fireworks/models/llama-v3p1-8b-instruct", credentials=credentials
-            )
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml b/api/core/model_runtime/model_providers/fireworks/fireworks.yaml
deleted file mode 100644
index ddbaa54eb1..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml
+++ /dev/null
@@ -1,103 +0,0 @@
-provider: fireworks
-label:
-  zh_Hans: Fireworks AI
-  en_US: Fireworks AI
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FCFDFF"
-help:
-  title:
-    en_US: Get your API Key from Fireworks AI
-    zh_Hans: 从 Fireworks AI 获取 API Key
-  url:
-    en_US: https://fireworks.ai/account/api-keys
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: fireworks_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-model_credential_schema:
-  model:
-    label:
-      en_US: Model URL
-      zh_Hans: 模型URL
-    placeholder:
-      en_US: Enter your Model URL
-      zh_Hans: 输入模型URL
-  credential_form_schemas:
-    - variable: model_label_zh_Hanns
-      label:
-        zh_Hans: 模型中文名称
-        en_US: The zh_Hans of Model
-      required: true
-      type: text-input
-      placeholder:
-        zh_Hans: 在此输入您的模型中文名称
-        en_US: Enter your zh_Hans of Model
-    - variable: model_label_en_US
-      label:
-        zh_Hans: 模型英文名称
-        en_US: The en_US of Model
-      required: true
-      type: text-input
-      placeholder:
-        zh_Hans: 在此输入您的模型英文名称
-        en_US: Enter your en_US of Model
-    - variable: fireworks_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '4096'
-      type: text-input
-      show_on:
-        - variable: __model_type
-          value: llm
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-        - value: function_call
-          label:
-            en_US: Support
-            zh_Hans: 支持
-      show_on:
-        - variable: __model_type
-          value: llm
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/__init__.py b/api/core/model_runtime/model_providers/fireworks/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/_position.yaml b/api/core/model_runtime/model_providers/fireworks/llm/_position.yaml
deleted file mode 100644
index 9f7c1af68c..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/_position.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-- llama-v3p1-405b-instruct
-- llama-v3p1-70b-instruct
-- llama-v3p1-8b-instruct
-- llama-v3-70b-instruct
-- mixtral-8x22b-instruct
-- mixtral-8x7b-instruct
-- firefunction-v2
-- firefunction-v1
-- gemma2-9b-it
-- llama-v3-70b-instruct-hf
-- llama-v3-8b-instruct
-- llama-v3-8b-instruct-hf
-- mixtral-8x7b-instruct-hf
-- mythomax-l2-13b
-- phi-3-vision-128k-instruct
-- yi-large
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v1.yaml b/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v1.yaml
deleted file mode 100644
index f6bac12832..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v1.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/firefunction-v1
-label:
-  zh_Hans: Firefunction V1
-  en_US: Firefunction V1
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.5'
-  output: '0.5'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v2.yaml b/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v2.yaml
deleted file mode 100644
index 2979cb46d5..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/firefunction-v2.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/firefunction-v2
-label:
-  zh_Hans: Firefunction V2
-  en_US: Firefunction V2
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.9'
-  output: '0.9'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml b/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml
deleted file mode 100644
index 61ab39482b..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/gemma2-9b-it
-label:
-  zh_Hans: Gemma2 9B Instruct
-  en_US: Gemma2 9B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct-hf.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct-hf.yaml
deleted file mode 100644
index 2ae89b8816..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct-hf.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3-70b-instruct-hf
-label:
-  zh_Hans: Llama3 70B Instruct(HF version)
-  en_US: Llama3 70B Instruct(HF version)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.9'
-  output: '0.9'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct.yaml
deleted file mode 100644
index 7c24b08ca5..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-70b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3-70b-instruct
-label:
-  zh_Hans: Llama3 70B Instruct
-  en_US: Llama3 70B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.9'
-  output: '0.9'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct-hf.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct-hf.yaml
deleted file mode 100644
index 83507ef3e5..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct-hf.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3-8b-instruct-hf
-label:
-  zh_Hans: Llama3 8B Instruct(HF version)
-  en_US: Llama3 8B Instruct(HF version)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct.yaml
deleted file mode 100644
index d8ac9537b8..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3-8b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3-8b-instruct
-label:
-  zh_Hans: Llama3 8B Instruct
-  en_US: Llama3 8B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-405b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-405b-instruct.yaml
deleted file mode 100644
index c4ddb3e924..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-405b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p1-405b-instruct
-label:
-  zh_Hans: Llama3.1 405B Instruct
-  en_US: Llama3.1 405B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '3'
-  output: '3'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-70b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-70b-instruct.yaml
deleted file mode 100644
index 62f84f87fa..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-70b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p1-70b-instruct
-label:
-  zh_Hans: Llama3.1 70B Instruct
-  en_US: Llama3.1 70B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-8b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-8b-instruct.yaml
deleted file mode 100644
index 9bb99c91b6..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p1-8b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p1-8b-instruct
-label:
-  zh_Hans: Llama3.1 8B Instruct
-  en_US: Llama3.1 8B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml
deleted file mode 100644
index 31415a24fa..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p2-11b-vision-instruct
-label:
-  zh_Hans: Llama 3.2 11B Vision Instruct
-  en_US: Llama 3.2 11B Vision Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-1b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-1b-instruct.yaml
deleted file mode 100644
index c2fd77d256..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-1b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p2-1b-instruct
-label:
-  zh_Hans: Llama 3.2 1B Instruct
-  en_US: Llama 3.2 1B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-3b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-3b-instruct.yaml
deleted file mode 100644
index 4b3c459c7b..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-3b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p2-3b-instruct
-label:
-  zh_Hans: Llama 3.2 3B Instruct
-  en_US: Llama 3.2 3B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml
deleted file mode 100644
index 0aece7455d..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/llama-v3p2-90b-vision-instruct
-label:
-  zh_Hans: Llama 3.2 90B Vision Instruct
-  en_US: Llama 3.2 90B Vision Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.9'
-  output: '0.9'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llm.py b/api/core/model_runtime/model_providers/fireworks/llm/llm.py
deleted file mode 100644
index ffe1ad5fcb..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/llm.py
+++ /dev/null
@@ -1,667 +0,0 @@
-import logging
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-from openai import OpenAI, Stream
-from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall
-from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall
-from openai.types.chat.chat_completion_message import FunctionCall
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.fireworks._common import _CommonFireworks
-
-logger = logging.getLogger(__name__)
-
-FIREWORKS_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-
-class FireworksLargeLanguageModel(_CommonFireworks, LargeLanguageModel):
-    """
-    Model class for Fireworks large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        return self._chat_generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}:
-            stop = stop or []
-            self._transform_chat_json_prompts(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-                response_format=model_parameters["response_format"],
-            )
-            model_parameters.pop("response_format")
-
-            return self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-    def _transform_chat_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts
-        """
-        if stop is None:
-            stop = []
-        if "```\n" not in stop:
-            stop.append("```\n")
-        if "\n```" not in stop:
-            stop.append("\n```")
-
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            prompt_messages[0] = SystemPromptMessage(
-                content=FIREWORKS_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}\n"))
-        else:
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=FIREWORKS_BLOCK_MODE_PROMPT.replace(
-                        "{{instructions}}", f"Please output a valid {response_format} object."
-                    ).replace("{{block}}", response_format)
-                ),
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        return self._num_tokens_from_messages(model, prompt_messages, tools)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            client.chat.completions.create(
-                messages=[{"role": "user", "content": "ping"}], model=model, temperature=0, max_tokens=10, stream=False
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(str(e))
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-
-        if tools:
-            extra_model_kwargs["functions"] = [
-                {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools
-            ]
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        # chat model
-        response = client.chat.completions.create(
-            messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)
-        return self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: ChatCompletion,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        assistant_message = response.choices[0].message
-        # assistant_message_tool_calls = assistant_message.tool_calls
-        assistant_message_function_call = assistant_message.function_call
-
-        # extract tool calls from response
-        # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-        function_call = self._extract_response_function_call(assistant_message_function_call)
-        tool_calls = [function_call] if function_call else []
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-            completion_tokens = self._num_tokens_from_messages(model, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=response.model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return response
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        delta_assistant_message_function_call_storage: Optional[ChoiceDeltaFunctionCall] = None
-        prompt_tokens = 0
-        completion_tokens = 0
-        final_tool_calls = []
-        final_chunk = LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=""),
-            ),
-        )
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                if chunk.usage:
-                    # calculate num tokens
-                    prompt_tokens = chunk.usage.prompt_tokens
-                    completion_tokens = chunk.usage.completion_tokens
-                continue
-
-            delta = chunk.choices[0]
-            has_finish_reason = delta.finish_reason is not None
-
-            if (
-                not has_finish_reason
-                and (delta.delta.content is None or delta.delta.content == "")
-                and delta.delta.function_call is None
-            ):
-                continue
-
-            # assistant_message_tool_calls = delta.delta.tool_calls
-            assistant_message_function_call = delta.delta.function_call
-
-            # extract tool calls from response
-            if delta_assistant_message_function_call_storage is not None:
-                # handle process of stream function call
-                if assistant_message_function_call:
-                    # message has not ended ever
-                    delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments
-                    continue
-                else:
-                    # message has ended
-                    assistant_message_function_call = delta_assistant_message_function_call_storage
-                    delta_assistant_message_function_call_storage = None
-            else:
-                if assistant_message_function_call:
-                    # start of stream function call
-                    delta_assistant_message_function_call_storage = assistant_message_function_call
-                    if delta_assistant_message_function_call_storage.arguments is None:
-                        delta_assistant_message_function_call_storage.arguments = ""
-                    if not has_finish_reason:
-                        continue
-
-            # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-            function_call = self._extract_response_function_call(assistant_message_function_call)
-            tool_calls = [function_call] if function_call else []
-            if tool_calls:
-                final_tool_calls.extend(tool_calls)
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls)
-
-            full_assistant_content += delta.delta.content or ""
-
-            if has_finish_reason:
-                final_chunk = LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-        if not prompt_tokens:
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-
-        if not completion_tokens:
-            full_assistant_prompt_message = AssistantPromptMessage(
-                content=full_assistant_content, tool_calls=final_tool_calls
-            )
-            completion_tokens = self._num_tokens_from_messages(model, [full_assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-        final_chunk.delta.usage = usage
-
-        yield final_chunk
-
-    def _extract_response_tool_calls(
-        self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.id, type=response_tool_call.type, function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _extract_response_function_call(
-        self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall
-    ) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract function call from response
-
-        :param response_function_call: response function call
-        :return: tool call
-        """
-        tool_call = None
-        if response_function_call:
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_function_call.name, arguments=response_function_call.arguments
-            )
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_function_call.name, type="function", function=function
-            )
-
-        return tool_call
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for Fireworks API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                # message_dict["tool_calls"] = [tool_call.dict() for tool_call in
-                #                               message.tool_calls]
-                function_call = message.tool_calls[0]
-                message_dict["function_call"] = {
-                    "name": function_call.function.name,
-                    "arguments": function_call.function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            # message_dict = {
-            #     "role": "tool",
-            #     "content": message.content,
-            #     "tool_call_id": message.tool_call_id
-            # }
-            message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _num_tokens_from_messages(
-        self,
-        model: str,
-        messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-        credentials: Optional[dict] = None,
-    ) -> int:
-        """
-        Approximate num tokens with GPT2 tokenizer.
-        """
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += self._get_num_tokens_by_gpt2(t_key)
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += self._get_num_tokens_by_gpt2(f_key)
-                                    num_tokens += self._get_num_tokens_by_gpt2(f_value)
-                            else:
-                                num_tokens += self._get_num_tokens_by_gpt2(t_key)
-                                num_tokens += self._get_num_tokens_by_gpt2(t_value)
-                else:
-                    num_tokens += self._get_num_tokens_by_gpt2(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling with tiktoken package.
-
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        num_tokens = 0
-        for tool in tools:
-            num_tokens += self._get_num_tokens_by_gpt2("type")
-            num_tokens += self._get_num_tokens_by_gpt2("function")
-            num_tokens += self._get_num_tokens_by_gpt2("function")
-
-            # calculate num tokens for function object
-            num_tokens += self._get_num_tokens_by_gpt2("name")
-            num_tokens += self._get_num_tokens_by_gpt2(tool.name)
-            num_tokens += self._get_num_tokens_by_gpt2("description")
-            num_tokens += self._get_num_tokens_by_gpt2(tool.description)
-            parameters = tool.parameters
-            num_tokens += self._get_num_tokens_by_gpt2("parameters")
-            if "title" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("title")
-                num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
-            num_tokens += self._get_num_tokens_by_gpt2("type")
-            num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
-            if "properties" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("properties")
-                for key, value in parameters.get("properties").items():
-                    num_tokens += self._get_num_tokens_by_gpt2(key)
-                    for field_key, field_value in value.items():
-                        num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += self._get_num_tokens_by_gpt2(enum_field)
-                        else:
-                            num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                            num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
-            if "required" in parameters:
-                num_tokens += self._get_num_tokens_by_gpt2("required")
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += self._get_num_tokens_by_gpt2(required_field)
-
-        return num_tokens
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(
-                en_US=credentials.get("model_label_en_US", model),
-                zh_Hans=credentials.get("model_label_zh_Hanns", model),
-            ),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "function_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 4096)),
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="top_k",
-                    use_template="top_k",
-                    label=I18nObject(en_US="Top K", zh_Hans="Top K"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x22b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x22b-instruct.yaml
deleted file mode 100644
index 87d977e26c..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x22b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/mixtral-8x22b-instruct
-label:
-  zh_Hans: Mixtral MoE 8x22B Instruct
-  en_US: Mixtral MoE 8x22B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 65536
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '1.2'
-  output: '1.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct-hf.yaml b/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct-hf.yaml
deleted file mode 100644
index e3d5a90858..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct-hf.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/mixtral-8x7b-instruct-hf
-label:
-  zh_Hans: Mixtral MoE 8x7B Instruct(HF version)
-  en_US: Mixtral MoE 8x7B Instruct(HF version)
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.5'
-  output: '0.5'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct.yaml
deleted file mode 100644
index 45f632ceff..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/mixtral-8x7b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/mixtral-8x7b-instruct
-label:
-  zh_Hans: Mixtral MoE 8x7B Instruct
-  en_US: Mixtral MoE 8x7B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.5'
-  output: '0.5'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/mythomax-l2-13b.yaml b/api/core/model_runtime/model_providers/fireworks/llm/mythomax-l2-13b.yaml
deleted file mode 100644
index 9c3486ba10..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/mythomax-l2-13b.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/mythomax-l2-13b
-label:
-  zh_Hans: MythoMax L2 13b
-  en_US: MythoMax L2 13b
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/phi-3-vision-128k-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/phi-3-vision-128k-instruct.yaml
deleted file mode 100644
index e399f2edb1..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/phi-3-vision-128k-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/phi-3-vision-128k-instruct
-label:
-  zh_Hans: Phi3.5 Vision Instruct
-  en_US: Phi3.5 Vision Instruct
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.2'
-  output: '0.2'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml
deleted file mode 100644
index 9728364340..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: accounts/fireworks/models/qwen2p5-72b-instruct
-label:
-  zh_Hans: Qwen2.5 72B Instruct
-  en_US: Qwen2.5 72B Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.9'
-  output: '0.9'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/llm/yi-large.yaml b/api/core/model_runtime/model_providers/fireworks/llm/yi-large.yaml
deleted file mode 100644
index bb4b6f994e..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/llm/yi-large.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: accounts/yi-01-ai/models/yi-large
-label:
-  zh_Hans: Yi-Large
-  en_US: Yi-Large
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '3'
-  output: '3'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/UAE-Large-V1.yaml b/api/core/model_runtime/model_providers/fireworks/text_embedding/UAE-Large-V1.yaml
deleted file mode 100644
index d7c11691cf..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/UAE-Large-V1.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-model: WhereIsAI/UAE-Large-V1
-label:
-  zh_Hans: UAE-Large-V1
-  en_US: UAE-Large-V1
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
-pricing:
-  input: '0.008'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/__init__.py b/api/core/model_runtime/model_providers/fireworks/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-base.yaml b/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-base.yaml
deleted file mode 100644
index d09bafb4d3..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-base.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-model: thenlper/gte-base
-label:
-  zh_Hans: GTE-base
-  en_US: GTE-base
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
-pricing:
-  input: '0.008'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-large.yaml b/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-large.yaml
deleted file mode 100644
index c41fa2f9d3..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/gte-large.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-model: thenlper/gte-large
-label:
-  zh_Hans: GTE-large
-  en_US: GTE-large
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
-pricing:
-  input: '0.008'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.5.yaml b/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.5.yaml
deleted file mode 100644
index c9098503d9..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.5.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-model: nomic-ai/nomic-embed-text-v1.5
-label:
-  zh_Hans: nomic-embed-text-v1.5
-  en_US: nomic-embed-text-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 16
-pricing:
-  input: '0.008'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.yaml b/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.yaml
deleted file mode 100644
index 89078d3ff6..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/nomic-embed-text-v1.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-model: nomic-ai/nomic-embed-text-v1
-label:
-  zh_Hans: nomic-embed-text-v1
-  en_US: nomic-embed-text-v1
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 16
-pricing:
-  input: '0.008'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/fireworks/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/fireworks/text_embedding/text_embedding.py
deleted file mode 100644
index 4c03628389..0000000000
--- a/api/core/model_runtime/model_providers/fireworks/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,150 +0,0 @@
-import time
-from typing import Optional, Union
-
-import numpy as np
-from openai import OpenAI
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.fireworks._common import _CommonFireworks
-
-
-class FireworksTextEmbeddingModel(_CommonFireworks, TextEmbeddingModel):
-    """
-    Model class for Fireworks text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-
-        extra_model_kwargs["encoding_format"] = "float"
-
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            # TODO: Optimize for better token estimation and chunking
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        for i in _iter:
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model,
-                client=client,
-                texts=inputs[i : i + max_chunks],
-                extra_model_kwargs=extra_model_kwargs,
-            )
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-        return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            # call embedding model
-            self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={})
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(
-        self, model: str, client: OpenAI, texts: Union[list[str], str], extra_model_kwargs: dict
-    ) -> tuple[list[list[float]], int]:
-        """
-        Invoke embedding model
-        :param model: model name
-        :param client: model client
-        :param texts: texts to embed
-        :param extra_model_kwargs: extra model kwargs
-        :return: embeddings and used tokens
-        """
-        response = client.embeddings.create(model=model, input=texts, **extra_model_kwargs)
-        return [data.embedding for data in response.data], response.usage.total_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, tokens=tokens, price_type=PriceType.INPUT
-        )
-
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/fishaudio/__init__.py b/api/core/model_runtime/model_providers/fishaudio/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_l_en.svg b/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_l_en.svg
deleted file mode 100644
index d6f7723bd5..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_l_en.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="61.1 180.15 377.8 139.718"><path d="M431.911 245.181c3.842 0 6.989 1.952 6.989 4.337v14.776c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.952-6.99-4.337v-14.776c0-2.385 3.144-4.337 6.99-4.337ZM404.135 250.955c3.846 0 6.989 1.952 6.989 4.337v32.528c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-32.528c0-2.385 3.147-4.337 6.989-4.337ZM376.363 257.688c3.842 0 6.989 1.952 6.989 4.337v36.562c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.993-1.952-6.993-4.337v-36.562c0-2.386 3.147-4.337 6.993-4.337ZM348.587 263.26c3.846 0 6.989 1.952 6.989 4.337v36.159c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-36.159c0-2.385 3.147-4.337 6.989-4.337ZM320.811 268.177c3.846 0 6.989 1.952 6.989 4.337v31.318c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-31.318c0-2.385 3.147-4.337 6.989-4.337ZM293.179 288.148c3.846 0 6.989 1.952 6.989 4.337v9.935c0 2.384-3.147 4.336-6.989 4.336s-6.99-1.951-6.99-4.336v-9.935c0-2.386 3.144-4.337 6.99-4.337Z" style="fill:#b1b3b4;fill-rule:evenodd"></path><path d="M431.911 205.441c3.842 0 6.989 1.952 6.989 4.337v24.459c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.952-6.99-4.337v-24.459c0-2.385 3.144-4.337 6.99-4.337ZM404.135 189.026c3.846 0 6.989 1.952 6.989 4.337v43.622c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.951-6.989-4.337v-43.622c0-2.385 3.147-4.337 6.989-4.337ZM376.363 182.848c3.842 0 6.989 1.953 6.989 4.337v56.937c0 2.384-3.147 4.337-6.989 4.337-3.846 0-6.993-1.952-6.993-4.337v-56.937c0-2.385 3.147-4.337 6.993-4.337ZM348.587 180.15c3.846 0 6.989 1.952 6.989 4.337v66.619c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-66.619c0-2.385 3.147-4.337 6.989-4.337ZM320.811 181.84c3.846 0 6.989 1.952 6.989 4.337v67.627c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.951-6.989-4.337v-67.627c0-2.386 3.147-4.337 6.989-4.337ZM293.179 186.076c3.846 0 6.989 1.952 6.989 4.337v84.37c0 2.385-3.147 4.337-6.989 4.337s-6.99-1.951-6.99-4.337v-84.37c0-2.386 3.144-4.337 6.99-4.337ZM264.829 193.262c3.846 0 6.989 1.953 6.989 4.337v95.667c0 2.385-3.143 4.337-6.989 4.337-3.843 0-6.99-1.951-6.99-4.337v-95.667c0-2.385 3.147-4.337 6.99-4.337ZM237.057 205.441c3.842 0 6.989 1.953 6.989 4.337v92.036c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.951-6.99-4.337v-92.036c0-2.385 3.144-4.337 6.99-4.337ZM209.281 221.302c3.846 0 6.989 1.952 6.989 4.337v80.134c0 2.385-3.147 4.337-6.989 4.337s-6.99-1.952-6.99-4.337v-80.134c0-2.386 3.144-4.337 6.99-4.337ZM181.505 232.271c3.846 0 6.993 1.952 6.993 4.336v78.924c0 2.385-3.147 4.337-6.993 4.337-3.842 0-6.989-1.951-6.989-4.337v-78.924c0-2.385 3.147-4.336 6.989-4.336ZM153.873 241.348c3.846 0 6.989 1.953 6.989 4.337v42.009c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.952-6.99-4.337v-42.009c0-2.385 3.147-4.337 6.99-4.337ZM125.266 200.398c3.842 0 6.989 1.953 6.989 4.337v58.55c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.951-6.99-4.337v-58.55c0-2.385 3.144-4.337 6.99-4.337ZM96.7 204.231c3.842 0 6.989 1.953 6.989 4.337v18.004c0 2.384-3.147 4.337-6.989 4.337s-6.989-1.952-6.989-4.337v-18.004c0-2.385 3.143-4.337 6.989-4.337ZM68.089 201.81c3.846 0 6.99 1.953 6.99 4.337v8.12c0 2.384-3.147 4.336-6.99 4.336-3.842 0-6.989-1.951-6.989-4.336v-8.12c0-2.385 3.143-4.337 6.989-4.337ZM153.873 194.94c3.846 0 6.989 1.953 6.989 4.337v6.102c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.952-6.99-4.337v-6.102c0-2.385 3.147-4.337 6.99-4.337Z" style="fill:#000;fill-rule:evenodd"></path></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_s_en.svg b/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_s_en.svg
deleted file mode 100644
index d6f7723bd5..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/_assets/fishaudio_s_en.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="61.1 180.15 377.8 139.718"><path d="M431.911 245.181c3.842 0 6.989 1.952 6.989 4.337v14.776c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.952-6.99-4.337v-14.776c0-2.385 3.144-4.337 6.99-4.337ZM404.135 250.955c3.846 0 6.989 1.952 6.989 4.337v32.528c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-32.528c0-2.385 3.147-4.337 6.989-4.337ZM376.363 257.688c3.842 0 6.989 1.952 6.989 4.337v36.562c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.993-1.952-6.993-4.337v-36.562c0-2.386 3.147-4.337 6.993-4.337ZM348.587 263.26c3.846 0 6.989 1.952 6.989 4.337v36.159c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-36.159c0-2.385 3.147-4.337 6.989-4.337ZM320.811 268.177c3.846 0 6.989 1.952 6.989 4.337v31.318c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-31.318c0-2.385 3.147-4.337 6.989-4.337ZM293.179 288.148c3.846 0 6.989 1.952 6.989 4.337v9.935c0 2.384-3.147 4.336-6.989 4.336s-6.99-1.951-6.99-4.336v-9.935c0-2.386 3.144-4.337 6.99-4.337Z" style="fill:#b1b3b4;fill-rule:evenodd"></path><path d="M431.911 205.441c3.842 0 6.989 1.952 6.989 4.337v24.459c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.952-6.99-4.337v-24.459c0-2.385 3.144-4.337 6.99-4.337ZM404.135 189.026c3.846 0 6.989 1.952 6.989 4.337v43.622c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.951-6.989-4.337v-43.622c0-2.385 3.147-4.337 6.989-4.337ZM376.363 182.848c3.842 0 6.989 1.953 6.989 4.337v56.937c0 2.384-3.147 4.337-6.989 4.337-3.846 0-6.993-1.952-6.993-4.337v-56.937c0-2.385 3.147-4.337 6.993-4.337ZM348.587 180.15c3.846 0 6.989 1.952 6.989 4.337v66.619c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.952-6.989-4.337v-66.619c0-2.385 3.147-4.337 6.989-4.337ZM320.811 181.84c3.846 0 6.989 1.952 6.989 4.337v67.627c0 2.385-3.143 4.337-6.989 4.337-3.842 0-6.989-1.951-6.989-4.337v-67.627c0-2.386 3.147-4.337 6.989-4.337ZM293.179 186.076c3.846 0 6.989 1.952 6.989 4.337v84.37c0 2.385-3.147 4.337-6.989 4.337s-6.99-1.951-6.99-4.337v-84.37c0-2.386 3.144-4.337 6.99-4.337ZM264.829 193.262c3.846 0 6.989 1.953 6.989 4.337v95.667c0 2.385-3.143 4.337-6.989 4.337-3.843 0-6.99-1.951-6.99-4.337v-95.667c0-2.385 3.147-4.337 6.99-4.337ZM237.057 205.441c3.842 0 6.989 1.953 6.989 4.337v92.036c0 2.385-3.147 4.337-6.989 4.337-3.846 0-6.99-1.951-6.99-4.337v-92.036c0-2.385 3.144-4.337 6.99-4.337ZM209.281 221.302c3.846 0 6.989 1.952 6.989 4.337v80.134c0 2.385-3.147 4.337-6.989 4.337s-6.99-1.952-6.99-4.337v-80.134c0-2.386 3.144-4.337 6.99-4.337ZM181.505 232.271c3.846 0 6.993 1.952 6.993 4.336v78.924c0 2.385-3.147 4.337-6.993 4.337-3.842 0-6.989-1.951-6.989-4.337v-78.924c0-2.385 3.147-4.336 6.989-4.336ZM153.873 241.348c3.846 0 6.989 1.953 6.989 4.337v42.009c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.952-6.99-4.337v-42.009c0-2.385 3.147-4.337 6.99-4.337ZM125.266 200.398c3.842 0 6.989 1.953 6.989 4.337v58.55c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.951-6.99-4.337v-58.55c0-2.385 3.144-4.337 6.99-4.337ZM96.7 204.231c3.842 0 6.989 1.953 6.989 4.337v18.004c0 2.384-3.147 4.337-6.989 4.337s-6.989-1.952-6.989-4.337v-18.004c0-2.385 3.143-4.337 6.989-4.337ZM68.089 201.81c3.846 0 6.99 1.953 6.99 4.337v8.12c0 2.384-3.147 4.336-6.99 4.336-3.842 0-6.989-1.951-6.989-4.336v-8.12c0-2.385 3.143-4.337 6.989-4.337ZM153.873 194.94c3.846 0 6.989 1.953 6.989 4.337v6.102c0 2.384-3.147 4.337-6.989 4.337-3.843 0-6.99-1.952-6.99-4.337v-6.102c0-2.385 3.147-4.337 6.99-4.337Z" style="fill:#000;fill-rule:evenodd"></path></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/fishaudio/fishaudio.py b/api/core/model_runtime/model_providers/fishaudio/fishaudio.py
deleted file mode 100644
index a99803eeea..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/fishaudio.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class FishAudioProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        For debugging purposes, this method now always passes validation.
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.TTS)
-            # FIXME fish tts do not have model for now, so set it to empty string instead
-            model_instance.validate_credentials(model="", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/fishaudio/fishaudio.yaml b/api/core/model_runtime/model_providers/fishaudio/fishaudio.yaml
deleted file mode 100644
index 479eb7fb85..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/fishaudio.yaml
+++ /dev/null
@@ -1,76 +0,0 @@
-provider: fishaudio
-label:
-  en_US: Fish Audio
-description:
-  en_US: Models provided by Fish Audio, currently only support TTS.
-  zh_Hans: Fish Audio 提供的模型，目前仅支持 TTS。
-icon_small:
-  en_US: fishaudio_s_en.svg
-icon_large:
-  en_US: fishaudio_l_en.svg
-background: "#E5E7EB"
-help:
-  title:
-    en_US: Get your API key from Fish Audio
-    zh_Hans: 从 Fish Audio 获取你的 API Key
-  url:
-    en_US: https://fish.audio/go-api/
-supported_model_types:
-  - tts
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: api_base
-      label:
-        en_US: API URL
-      type: text-input
-      required: false
-      default: https://api.fish.audio
-      placeholder:
-        en_US: Enter your API URL
-        zh_Hans: 在此输入您的 API URL
-    - variable: use_public_models
-      label:
-        en_US: Use Public Models
-      type: select
-      required: false
-      default: "false"
-      placeholder:
-        en_US: Toggle to use public models
-        zh_Hans: 切换以使用公共模型
-      options:
-        - value: "true"
-          label:
-            en_US: Allow Public Models
-            zh_Hans: 使用公共模型
-        - value: "false"
-          label:
-            en_US: Private Models Only
-            zh_Hans: 仅使用私有模型
-    - variable: latency
-      label:
-        en_US: Latency
-      type: select
-      required: false
-      default: "normal"
-      placeholder:
-        en_US: Toggle to choice latency
-        zh_Hans: 切换以调整延迟
-      options:
-        - value: "balanced"
-          label:
-            en_US: Low (may affect quality)
-            zh_Hans: 低延迟 (可能降低质量)
-        - value: "normal"
-          label:
-            en_US: Normal
-            zh_Hans: 标准
diff --git a/api/core/model_runtime/model_providers/fishaudio/tts/__init__.py b/api/core/model_runtime/model_providers/fishaudio/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/fishaudio/tts/tts.py b/api/core/model_runtime/model_providers/fishaudio/tts/tts.py
deleted file mode 100644
index 43a34cb090..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/tts/tts.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from typing import Any, Optional
-
-import httpx
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError, InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-
-
-class FishAudioText2SpeechModel(TTSModel):
-    """
-    Model class for Fish.audio Text to Speech model.
-    """
-
-    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
-        api_base = credentials.get("api_base", "https://api.fish.audio")
-        api_key = credentials.get("api_key")
-        use_public_models = credentials.get("use_public_models", "false") == "true"
-
-        params = {
-            "self": str(not use_public_models).lower(),
-            "page_size": "100",
-        }
-
-        if language is not None:
-            if "-" in language:
-                language = language.split("-")[0]
-            params["language"] = language
-
-        results = httpx.get(
-            f"{api_base}/model",
-            headers={"Authorization": f"Bearer {api_key}"},
-            params=params,
-        )
-
-        results.raise_for_status()
-        data = results.json()
-
-        return [{"name": i["title"], "value": i["_id"]} for i in data["items"]]
-
-    def _invoke(
-        self,
-        model: str,
-        tenant_id: str,
-        credentials: dict,
-        content_text: str,
-        voice: str,
-        user: Optional[str] = None,
-    ) -> Any:
-        """
-        Invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :param user: unique user id
-        :return: generator yielding audio chunks
-        """
-
-        return self._tts_invoke_streaming(
-            model=model,
-            credentials=credentials,
-            content_text=content_text,
-            voice=voice,
-        )
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
-        """
-        Validate credentials for text2speech model
-
-        :param credentials: model credentials
-        :param user: unique user id
-        """
-
-        try:
-            self.get_tts_model_voices(
-                "",
-                credentials={
-                    "api_key": credentials["api_key"],
-                    "api_base": credentials["api_base"],
-                    # Disable public models will trigger a 403 error if user is not logged in
-                    "use_public_models": "false",
-                },
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        Invoke streaming text2speech model
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: ID of the reference audio (if any)
-        :return: generator yielding audio chunks
-        """
-
-        try:
-            word_limit = self._get_model_word_limit(model, credentials)
-            if len(content_text) > word_limit:
-                sentences = self._split_text_into_sentences(content_text, max_length=word_limit)
-            else:
-                sentences = [content_text.strip()]
-
-            for i in range(len(sentences)):
-                yield from self._tts_invoke_streaming_sentence(
-                    credentials=credentials, content_text=sentences[i], voice=voice
-                )
-
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
-
-    def _tts_invoke_streaming_sentence(self, credentials: dict, content_text: str, voice: Optional[str] = None) -> Any:
-        """
-        Invoke streaming text2speech model
-
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: ID of the reference audio (if any)
-        :return: generator yielding audio chunks
-        """
-        api_key = credentials.get("api_key")
-        api_url = credentials.get("api_base", "https://api.fish.audio")
-        latency = credentials.get("latency")
-
-        if not api_key:
-            raise InvokeBadRequestError("API key is required")
-
-        with httpx.stream(
-            "POST",
-            api_url + "/v1/tts",
-            json={"text": content_text, "reference_id": voice, "latency": latency},
-            headers={
-                "Authorization": f"Bearer {api_key}",
-            },
-            timeout=None,
-        ) as response:
-            if response.status_code != 200:
-                raise InvokeBadRequestError(f"Error: {response.status_code} - {response.text}")
-            yield from response.iter_bytes()
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeBadRequestError: [
-                httpx.HTTPStatusError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/fishaudio/tts/tts.yaml b/api/core/model_runtime/model_providers/fishaudio/tts/tts.yaml
deleted file mode 100644
index b4a446a957..0000000000
--- a/api/core/model_runtime/model_providers/fishaudio/tts/tts.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: tts-default
-model_type: tts
-model_properties:
-  word_limit: 1000
-  audio_type: 'mp3'
diff --git a/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo-full.svg b/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo-full.svg
deleted file mode 100644
index f9738b585b..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo-full.svg
+++ /dev/null
@@ -1,6 +0,0 @@
-<svg width="145" height="40" viewBox="0 0 145 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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-</svg>
diff --git a/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo.svg b/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo.svg
deleted file mode 100644
index 1f51187f19..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/_assets/Gitee-AI-Logo.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M25.132 24.3947C25.497 25.7527 25.8984 27.1413 26.3334 28.5834C26.7302 29.8992 25.5459 30.4167 25.0752 29.1758C24.571 27.8466 24.0885 26.523 23.6347 25.1729C21.065 26.4654 18.5025 27.5424 15.5961 28.7541C16.7581 33.0256 17.8309 36.5984 19.4952 39.9935C19.4953 39.9936 19.4953 39.9937 19.4954 39.9938C19.6631 39.9979 19.8313 40 20 40C31.0457 40 40 31.0457 40 20C40 16.0335 38.8453 12.3366 36.8537 9.22729C31.6585 9.69534 27.0513 10.4562 22.8185 11.406C22.8882 12.252 22.9677 13.0739 23.0555 13.855C23.3824 16.7604 23.9112 19.5281 24.6137 22.3836C27.0581 21.2848 29.084 20.3225 30.6816 19.522C32.2154 18.7535 33.6943 18.7062 31.2018 20.6594C29.0388 22.1602 27.0644 23.3566 25.132 24.3947ZM36.1559 8.20846C33.0001 3.89184 28.1561 0.887462 22.5955 0.166882C22.4257 2.86234 22.4785 6.26344 22.681 9.50447C26.7473 8.88859 31.1721 8.46032 36.1559 8.20846ZM19.9369 9.73661e-05C19.7594 2.92694 19.8384 6.65663 20.19 9.91293C17.3748 10.4109 14.7225 11.0064 12.1592 11.7038C12.0486 10.4257 11.9927 9.25764 11.9927 8.24178C11.9927 7.5054 11.3957 6.90844 10.6593 6.90844C9.92296 6.90844 9.32601 7.5054 9.32601 8.24178C9.32601 9.47868 9.42873 10.898 9.61402 12.438C8.33567 12.8278 7.07397 13.2443 5.81918 13.688C5.12493 13.9336 4.76118 14.6954 5.0067 15.3896C5.25223 16.0839 6.01406 16.4476 6.7083 16.2021C7.7931 15.8185 8.88482 15.4388 9.98927 15.0659C10.5222 18.3344 11.3344 21.9428 12.2703 25.4156C12.4336 26.0218 12.6062 26.6262 12.7863 27.2263C9.34168 28.4135 5.82612 29.3782 2.61128 29.8879C0.949407 26.9716 0 23.5967 0 20C0 8.97534 8.92023 0.0341108 19.9369 9.73661e-05ZM4.19152 32.2527C7.45069 36.4516 12.3458 39.3173 17.9204 39.8932C16.5916 37.455 14.9338 33.717 13.5405 29.5901C10.4404 30.7762 7.25883 31.6027 4.19152 32.2527ZM22.9735 23.1135C22.1479 20.41 21.4462 17.5441 20.9225 14.277C20.746 13.5841 20.5918 12.8035 20.4593 11.9636C17.6508 12.6606 14.9992 13.4372 12.4356 14.2598C12.8479 17.4766 13.5448 21.1334 14.5118 24.7218C14.662 25.2792 14.8081 25.8248 14.9514 26.3594L14.9516 26.3603L14.9524 26.3634L14.9526 26.3639L14.973 26.4401C16.1833 25.9872 17.3746 25.5123 18.53 25.0259C20.1235 24.3552 21.6051 23.7165 22.9735 23.1135Z" fill="#141519"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/gitee_ai/_common.py b/api/core/model_runtime/model_providers/gitee_ai/_common.py
deleted file mode 100644
index ad6600faf7..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/_common.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from dashscope.common.error import (  # type: ignore
-    AuthenticationError,
-    InvalidParameter,
-    RequestFailure,
-    ServiceUnavailableError,
-    UnsupportedHTTPMethod,
-    UnsupportedModel,
-)
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonGiteeAI:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                RequestFailure,
-            ],
-            InvokeServerUnavailableError: [
-                ServiceUnavailableError,
-            ],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [
-                AuthenticationError,
-            ],
-            InvokeBadRequestError: [
-                InvalidParameter,
-                UnsupportedModel,
-                UnsupportedHTTPMethod,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.py b/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.py
deleted file mode 100644
index 14aa811905..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import logging
-
-import requests
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class GiteeAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            api_key = credentials.get("api_key")
-            if not api_key:
-                raise CredentialsValidateFailedError("Credentials validation failed: api_key not given")
-
-            # send a get request to validate the credentials
-            headers = {"Authorization": f"Bearer {api_key}"}
-            response = requests.get("https://ai.gitee.com/api/base/account/me", headers=headers, timeout=(10, 300))
-
-            if response.status_code != 200:
-                raise CredentialsValidateFailedError(
-                    f"Credentials validation failed with status code {response.status_code}"
-                )
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.yaml b/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.yaml
deleted file mode 100644
index 7f7d0f2e53..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/gitee_ai.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-provider: gitee_ai
-label:
-  en_US: Gitee AI
-  zh_Hans: Gitee AI
-description:
-  en_US: 快速体验大模型，领先探索 AI 开源世界
-  zh_Hans: 快速体验大模型，领先探索 AI 开源世界
-icon_small:
-  en_US: Gitee-AI-Logo.svg
-icon_large:
-  en_US: Gitee-AI-Logo-full.svg
-help:
-  title:
-    en_US: Get your token from Gitee AI
-    zh_Hans: 从 Gitee AI 获取 token
-  url:
-    en_US: https://ai.gitee.com/dashboard/settings/tokens
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-  - tts
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml
deleted file mode 100644
index d288c3dd39..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml
+++ /dev/null
@@ -1,93 +0,0 @@
-model: InternVL2-8B
-label:
-  en_US: InternVL2-8B
-model_type: llm
-features:
-  - vision
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml
deleted file mode 100644
index b2dee88c02..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml
+++ /dev/null
@@ -1,93 +0,0 @@
-model: InternVL2.5-26B
-label:
-  en_US: InternVL2.5-26B
-model_type: llm
-features:
-  - vision
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-72B-Instruct.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-72B-Instruct.yaml
deleted file mode 100644
index 0348438a75..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-72B-Instruct.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: Qwen2-72B-Instruct
-label:
-  zh_Hans: Qwen2-72B-Instruct
-  en_US: Qwen2-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 6400
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-7B-Instruct.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-7B-Instruct.yaml
deleted file mode 100644
index ba1ad788f5..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2-7B-Instruct.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: Qwen2-7B-Instruct
-label:
-  zh_Hans: Qwen2-7B-Instruct
-  en_US: Qwen2-7B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2.5-72B-Instruct.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2.5-72B-Instruct.yaml
deleted file mode 100644
index cb300e5ddf..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/Qwen2.5-72B-Instruct.yaml
+++ /dev/null
@@ -1,95 +0,0 @@
-model: Qwen2.5-72B-Instruct
-label:
-  zh_Hans: Qwen2.5-72B-Instruct
-  en_US: Qwen2.5-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/Yi-1.5-34B-Chat.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/Yi-1.5-34B-Chat.yaml
deleted file mode 100644
index f7260c987b..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/Yi-1.5-34B-Chat.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: Yi-1.5-34B-Chat
-label:
-  zh_Hans: Yi-1.5-34B-Chat
-  en_US: Yi-1.5-34B-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml
deleted file mode 100644
index c942cda3b2..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-- Qwen2.5-72B-Instruct
-- Qwen2-7B-Instruct
-- Qwen2-72B-Instruct
-- Yi-1.5-34B-Chat
-- glm-4-9b-chat
-- deepseek-coder-33B-instruct-chat
-- deepseek-coder-33B-instruct-completions
-- codegeex4-all-9b
-- InternVL2.5-26B
-- InternVL2-8B
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/codegeex4-all-9b.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/codegeex4-all-9b.yaml
deleted file mode 100644
index 8632cd92ab..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/codegeex4-all-9b.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: codegeex4-all-9b
-label:
-  zh_Hans: codegeex4-all-9b
-  en_US: codegeex4-all-9b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 40960
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-chat.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-chat.yaml
deleted file mode 100644
index 2ac00761d5..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-chat.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: deepseek-coder-33B-instruct-chat
-label:
-  zh_Hans: deepseek-coder-33B-instruct-chat
-  en_US: deepseek-coder-33B-instruct-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 9000
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-completions.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-completions.yaml
deleted file mode 100644
index 7c364d89f7..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/deepseek-coder-33B-instruct-completions.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-model: deepseek-coder-33B-instruct-completions
-label:
-  zh_Hans: deepseek-coder-33B-instruct-completions
-  en_US: deepseek-coder-33B-instruct-completions
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 9000
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/glm-4-9b-chat.yaml b/api/core/model_runtime/model_providers/gitee_ai/llm/glm-4-9b-chat.yaml
deleted file mode 100644
index 2afe1cf959..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/glm-4-9b-chat.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-model: glm-4-9b-chat
-label:
-  zh_Hans: glm-4-9b-chat
-  en_US: glm-4-9b-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: stream
-    use_template: boolean
-    label:
-      en_US: "Stream"
-      zh_Hans: "流式"
-    type: boolean
-    default: true
-    required: true
-    help:
-      en_US: "Whether to return the results in batches through streaming. If set to true, the generated text will be pushed to the user in real time during the generation process."
-      zh_Hans: "是否通过流式分批返回结果。如果设置为 true，生成过程中实时地向用户推送每一部分生成的文本。"
-
-  - name: max_tokens
-    use_template: max_tokens
-    label:
-      en_US: "Max Tokens"
-      zh_Hans: "最大Token数"
-    type: int
-    default: 512
-    min: 1
-    required: true
-    help:
-      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
-      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
-
-  - name: temperature
-    use_template: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    use_template: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_k
-    use_template: top_k
-    label:
-      en_US: "Top K"
-      zh_Hans: "Top K"
-    type: int
-    default: 50
-    min: 0
-    max: 100
-    required: true
-    help:
-      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
-      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: -1.0
-    max: 1.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
-      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py b/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py
deleted file mode 100644
index 68aaad2e3f..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/llm/llm.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.entities.model_entities import ModelFeature
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class GiteeAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    MODEL_TO_IDENTITY: dict[str, str] = {
-        "Yi-1.5-34B-Chat": "Yi-34B-Chat",
-        "deepseek-coder-33B-instruct-completions": "deepseek-coder-33B-instruct",
-        "deepseek-coder-33B-instruct-chat": "deepseek-coder-33B-instruct",
-    }
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials, model, model_parameters)
-        return super()._invoke(
-            GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model),
-            credentials,
-            prompt_messages,
-            model_parameters,
-            tools,
-            stop,
-            stream,
-            user,
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials, model, None)
-        super().validate_credentials(GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model), credentials)
-
-    def _add_custom_parameters(self, credentials: dict, model: Optional[str], model_parameters: dict) -> None:
-        if model is None:
-            model = "Qwen2-72B-Instruct"
-
-        credentials["endpoint_url"] = "https://ai.gitee.com/v1"
-        if model.endswith("completions"):
-            credentials["mode"] = LLMMode.COMPLETION.value
-        else:
-            credentials["mode"] = LLMMode.CHAT.value
-
-        schema = self.get_model_schema(model, credentials)
-        assert schema is not None, f"Model schema not found for model {model}"
-        assert schema.features is not None, f"Model features not found for model {model}"
-        if ModelFeature.TOOL_CALL in schema.features or ModelFeature.MULTI_TOOL_CALL in schema.features:
-            credentials["function_calling_type"] = "tool_call"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/rerank/__init__.py b/api/core/model_runtime/model_providers/gitee_ai/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gitee_ai/rerank/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/rerank/_position.yaml
deleted file mode 100644
index 83162fd338..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/rerank/_position.yaml
+++ /dev/null
@@ -1 +0,0 @@
-- bge-reranker-v2-m3
diff --git a/api/core/model_runtime/model_providers/gitee_ai/rerank/bge-reranker-v2-m3.yaml b/api/core/model_runtime/model_providers/gitee_ai/rerank/bge-reranker-v2-m3.yaml
deleted file mode 100644
index f0681641e1..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/rerank/bge-reranker-v2-m3.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: bge-reranker-v2-m3
-model_type: rerank
-model_properties:
-  context_size: 1024
diff --git a/api/core/model_runtime/model_providers/gitee_ai/rerank/rerank.py b/api/core/model_runtime/model_providers/gitee_ai/rerank/rerank.py
deleted file mode 100644
index 737d3d5c93..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/rerank/rerank.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from typing import Any, Optional
-
-import httpx
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class GiteeAIRerankModel(RerankModel):
-    """
-    Model class for rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        base_url = credentials.get("base_url", "https://ai.gitee.com/api/serverless")
-        base_url = base_url.removesuffix("/")
-
-        try:
-            body: dict[str, Any] = {"model": model, "query": query, "documents": docs}
-            if top_n is not None:
-                body["top_n"] = top_n
-            response = httpx.post(
-                f"{base_url}/{model}/rerank",
-                json=body,
-                headers={"Authorization": f"Bearer {credentials.get('api_key')}"},
-            )
-
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["results"]:
-                rerank_document = RerankDocument(
-                    index=result["index"],
-                    text=result["document"]["text"],
-                    score=result["relevance_score"],
-                )
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.01,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/gitee_ai/speech2text/__init__.py b/api/core/model_runtime/model_providers/gitee_ai/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gitee_ai/speech2text/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/speech2text/_position.yaml
deleted file mode 100644
index 8e9b47598b..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/speech2text/_position.yaml
+++ /dev/null
@@ -1,2 +0,0 @@
-- whisper-base
-- whisper-large
diff --git a/api/core/model_runtime/model_providers/gitee_ai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/gitee_ai/speech2text/speech2text.py
deleted file mode 100644
index 5597f5b43e..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/speech2text/speech2text.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import os
-from typing import IO, Optional
-
-import requests
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.gitee_ai._common import _CommonGiteeAI
-
-
-class GiteeAISpeech2TextModel(_CommonGiteeAI, Speech2TextModel):
-    """
-    Model class for OpenAI Compatible Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        # doc: https://ai.gitee.com/docs/openapi/serverless#tag/serverless/POST/{service}/speech-to-text
-
-        endpoint_url = f"https://ai.gitee.com/api/serverless/{model}/speech-to-text"
-        files = [("file", file)]
-        _, file_ext = os.path.splitext(file.name)
-        headers = {"Content-Type": f"audio/{file_ext}", "Authorization": f"Bearer {credentials.get('api_key')}"}
-        response = requests.post(endpoint_url, headers=headers, files=files)
-        if response.status_code != 200:
-            raise InvokeBadRequestError(response.text)
-        response_data = response.json()
-        return response_data["text"]
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
diff --git a/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-base.yaml b/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-base.yaml
deleted file mode 100644
index a50bf5fc2d..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-base.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: whisper-base
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-large.yaml b/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-large.yaml
deleted file mode 100644
index 1be7b1a391..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/speech2text/whisper-large.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: whisper-large
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/text_embedding/_position.yaml
deleted file mode 100644
index e8abe6440d..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/_position.yaml
+++ /dev/null
@@ -1,3 +0,0 @@
-- bge-large-zh-v1.5
-- bge-small-zh-v1.5
-- bge-m3
diff --git a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-large-zh-v1.5.yaml b/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-large-zh-v1.5.yaml
deleted file mode 100644
index 9e3ca76e88..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-large-zh-v1.5.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: bge-large-zh-v1.5
-label:
-  zh_Hans: bge-large-zh-v1.5
-  en_US: bge-large-zh-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 200000
-  max_chunks: 20
diff --git a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-m3.yaml b/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-m3.yaml
deleted file mode 100644
index a7a99a98a3..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-m3.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: bge-m3
-label:
-  zh_Hans: bge-m3
-  en_US: bge-m3
-model_type: text-embedding
-model_properties:
-  context_size: 200000
-  max_chunks: 20
diff --git a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-small-zh-v1.5.yaml b/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-small-zh-v1.5.yaml
deleted file mode 100644
index bd760408fa..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/bge-small-zh-v1.5.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: bge-small-zh-v1.5
-label:
-  zh_Hans: bge-small-zh-v1.5
-  en_US: bge-small-zh-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 200000
-  max_chunks: 20
diff --git a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/gitee_ai/text_embedding/text_embedding.py
deleted file mode 100644
index 97d5ecc249..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
-    OAICompatEmbeddingModel,
-)
-
-
-class GiteeAIEmbeddingModel(OAICompatEmbeddingModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        self._add_custom_parameters(credentials, model)
-        return super()._invoke(model, credentials, texts, user, input_type)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials, None)
-        super().validate_credentials(model, credentials)
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict, model: str) -> None:
-        credentials["endpoint_url"] = "https://ai.gitee.com/v1"
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/ChatTTS.yaml b/api/core/model_runtime/model_providers/gitee_ai/tts/ChatTTS.yaml
deleted file mode 100644
index 940391dfab..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/ChatTTS.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-model: ChatTTS
-model_type: tts
-model_properties:
-  default_voice: 'default'
-  voices:
-    - mode: 'default'
-      name: 'Default'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/FunAudioLLM-CosyVoice-300M.yaml b/api/core/model_runtime/model_providers/gitee_ai/tts/FunAudioLLM-CosyVoice-300M.yaml
deleted file mode 100644
index 8fc5734801..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/FunAudioLLM-CosyVoice-300M.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-model: FunAudioLLM-CosyVoice-300M
-model_type: tts
-model_properties:
-  default_voice: 'default'
-  voices:
-    - mode: 'default'
-      name: 'Default'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/__init__.py b/api/core/model_runtime/model_providers/gitee_ai/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/_position.yaml b/api/core/model_runtime/model_providers/gitee_ai/tts/_position.yaml
deleted file mode 100644
index 13c6ec8454..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/_position.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-- speecht5_tts
-- ChatTTS
-- fish-speech-1.2-sft
-- FunAudioLLM-CosyVoice-300M
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/fish-speech-1.2-sft.yaml b/api/core/model_runtime/model_providers/gitee_ai/tts/fish-speech-1.2-sft.yaml
deleted file mode 100644
index 93cc28bc9d..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/fish-speech-1.2-sft.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-model: fish-speech-1.2-sft
-model_type: tts
-model_properties:
-  default_voice: 'default'
-  voices:
-    - mode: 'default'
-      name: 'Default'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/speecht5_tts.yaml b/api/core/model_runtime/model_providers/gitee_ai/tts/speecht5_tts.yaml
deleted file mode 100644
index f9c843bd41..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/speecht5_tts.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-model: speecht5_tts
-model_type: tts
-model_properties:
-  default_voice: 'default'
-  voices:
-    - mode: 'default'
-      name: 'Default'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
diff --git a/api/core/model_runtime/model_providers/gitee_ai/tts/tts.py b/api/core/model_runtime/model_providers/gitee_ai/tts/tts.py
deleted file mode 100644
index dc91257daf..0000000000
--- a/api/core/model_runtime/model_providers/gitee_ai/tts/tts.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from typing import Any, Optional
-
-import requests
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.gitee_ai._common import _CommonGiteeAI
-
-
-class GiteeAIText2SpeechModel(_CommonGiteeAI, TTSModel):
-    """
-    Model class for OpenAI text2speech model.
-    """
-
-    # FIXME this Any return will be better type
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        validate credentials text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: text translated to audio file
-        """
-        try:
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello Dify!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    # FIXME this Any return will be better type
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        try:
-            # doc: https://ai.gitee.com/docs/openapi/serverless#tag/serverless/POST/{service}/text-to-speech
-            endpoint_url = "https://ai.gitee.com/api/serverless/" + model + "/text-to-speech"
-
-            headers = {"Content-Type": "application/json"}
-            api_key = credentials.get("api_key")
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            payload = {"inputs": content_text}
-            response = requests.post(endpoint_url, headers=headers, json=payload)
-
-            if response.status_code != 200:
-                raise InvokeBadRequestError(response.text)
-
-            data = response.content
-
-            for i in range(0, len(data), 1024):
-                yield data[i : i + 1024]
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
diff --git a/api/core/model_runtime/model_providers/google/__init__.py b/api/core/model_runtime/model_providers/google/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/google/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/google/_assets/icon_l_en.svg
deleted file mode 100644
index bb23bffcf1..0000000000
--- a/api/core/model_runtime/model_providers/google/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,15 +0,0 @@
-<svg width="68" height="24" viewBox="0 0 68 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g id="Gemini">
-<path id="Union" fill-rule="evenodd" clip-rule="evenodd" d="M50.6875 4.37014C48.3498 4.59292 46.5349 6.41319 46.3337 8.72764C46.1446 6.44662 44.2677 4.56074 41.9805 4.3737C44.2762 4.1997 46.152 2.28299 46.3373 0C46.4882 2.28911 48.405 4.20047 50.6875 4.37014ZM15.4567 9.41141L13.9579 10.9076C9.92941 6.64892 2.69298 9.97287 3.17317 15.8112C3.22394 23.108 14.5012 24.4317 15.3628 16.8809H9.52096L9.50061 14.9149H17.3595C18.8163 23.1364 8.44367 27.0292 3.19453 21.238C0.847044 18.7556 0.363651 14.7682 1.83717 11.7212C4.1129 6.62089 11.6505 5.29845 15.4567 9.41141ZM45.5915 23.5989H47.6945C47.6944 22.9155 47.6945 22.2307 47.6946 21.5452V21.5325C47.6948 19.8907 47.695 18.2453 47.6924 16.6072C47.6914 15.9407 47.6161 15.2823 47.4024 14.647C46.4188 11.2828 41.4255 11.4067 39.8332 14.214C38.5637 11.4171 34.4009 11.5236 32.8538 14.0084L32.8082 13.9976V12.4806L32.4233 12.4804H32.4224C31.8687 12.4801 31.3324 12.4798 30.7949 12.4811V23.5848L32.8977 23.5672C32.8981 22.9411 32.8979 22.3122 32.8977 21.6822V21.6812V21.6802V21.6791V21.6781V21.6771V21.676V21.676V21.6759V21.6758V21.6757V21.6757V21.6756C32.8973 20.204 32.8969 18.7261 32.904 17.2614C32.8889 15.3646 34.5674 13.5687 36.5358 14.124C37.7794 14.3298 38.1851 15.6148 38.1761 16.7257C38.1821 17.7019 38.18 18.6824 38.178 19.6633V19.6638C38.1752 20.9756 38.1724 22.2881 38.1891 23.5919L40.2846 23.5731C40.2929 22.7511 40.2881 21.9245 40.2832 21.0966C40.2753 19.7402 40.2674 18.3805 40.317 17.0328C40.4418 15.2122 42.0141 13.6186 43.9064 14.1168C45.2685 14.3231 45.6136 15.7748 45.5882 16.9545C45.5938 18.4959 45.5929 20.0492 45.5921 21.5968V21.5991V21.6014V21.6037V21.606V21.6083V21.6106C45.5917 22.2749 45.5913 22.9382 45.5915 23.5989ZM20.6167 18.4408C20.5625 21.9486 25.2121 23.6996 27.2993 20.0558L29.1566 20.9592C27.8157 23.7067 24.2337 24.7424 21.5381 23.4213C18.0052 21.7253 17.41 16.5007 20.0334 13.7517C21.4609 12.1752 23.7291 11.7901 25.7206 12.3653C28.3408 13.1257 29.4974 15.8937 29.326 18.4399C27.5547 18.4415 25.7971 18.4412 24.0364 18.4409C22.8993 18.4407 21.7609 18.4405 20.6167 18.4408ZM27.1041 16.6957C26.7048 13.1033 21.2867 13.2256 20.7494 16.6957H27.1041ZM53.543 23.5999H55.6206L55.6206 22.4361C55.6205 20.7877 55.6205 19.1443 55.6207 17.4939C55.6208 16.8853 55.7234 16.297 56.0063 15.7531C56.6115 14.3862 58.1745 13.7002 59.5927 14.1774C60.7512 14.4455 61.2852 15.6069 61.2762 16.7154C61.2774 18.3497 61.2771 19.9826 61.2769 21.6162V21.6166V21.617V21.6174V21.6179L61.2766 23.6007H63.3698C63.3913 22.0924 63.3869 20.584 63.3826 19.0755V19.0754V19.0753V19.0753V19.0752C63.3799 18.1682 63.3773 17.2612 63.3803 16.3541C63.3796 15.8622 63.3103 15.3765 63.1698 14.9052C62.3248 11.5142 57.3558 11.2385 55.5828 14.0038L55.5336 13.9905V12.4917H53.539C53.4898 12.7313 53.4934 23.4113 53.543 23.5999ZM49.6211 12.4944H51.7065V23.5994H49.6211V12.4944ZM65.1035 23.5991H67.1831C67.2367 23.2198 67.2133 12.6566 67.1634 12.4983H65.1035V23.5991ZM52.1504 8.67829C52.1709 10.4847 49.2418 10.7058 49.1816 8.65714C49.2189 6.5948 52.2437 6.81331 52.1504 8.67829ZM66.1387 10.1324C64.2712 10.1609 64.1316 7.19881 66.1559 7.17114C68.1709 7.19817 68.0215 10.2087 66.1387 10.1324Z" fill="url(#paint0_linear_14286_118464)"/>
-</g>
-<defs>
-<linearGradient id="paint0_linear_14286_118464" x1="-2" y1="0.999998" x2="67.9999" y2="27.5002" gradientUnits="userSpaceOnUse">
-<stop stop-color="#7798E0"/>
-<stop offset="0.210002" stop-color="#086FFF"/>
-<stop offset="0.345945" stop-color="#086FFF"/>
-<stop offset="0.591777" stop-color="#479AFF"/>
-<stop offset="0.895892" stop-color="#B7C4FA"/>
-<stop offset="1" stop-color="#B5C5F9"/>
-</linearGradient>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/google/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/google/_assets/icon_s_en.svg
deleted file mode 100644
index c5c608cd7c..0000000000
--- a/api/core/model_runtime/model_providers/google/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="24" height="24" rx="6" fill="url(#paint0_linear_7301_16076)"/>
-<path d="M20 12.0116C15.7043 12.42 12.3692 15.757 11.9995 20C11.652 15.8183 8.20301 12.361 4 12.0181C8.21855 11.6991 11.6656 8.1853 12.006 4C12.2833 8.19653 15.8057 11.7005 20 12.0116Z" fill="white" fill-opacity="0.88"/>
-<defs>
-<linearGradient id="paint0_linear_7301_16076" x1="-9" y1="29.5" x2="19.4387" y2="1.43791" gradientUnits="userSpaceOnUse">
-<stop offset="0.192878" stop-color="#1C7DFF"/>
-<stop offset="0.520213" stop-color="#1C69FF"/>
-<stop offset="1" stop-color="#F0DCD6"/>
-</linearGradient>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/google/google.py b/api/core/model_runtime/model_providers/google/google.py
deleted file mode 100644
index 70f56a8337..0000000000
--- a/api/core/model_runtime/model_providers/google/google.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class GoogleProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `gemini-pro` model for validate,
-            model_instance.validate_credentials(model="gemini-pro", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/google/google.yaml b/api/core/model_runtime/model_providers/google/google.yaml
deleted file mode 100644
index 69d4e371c4..0000000000
--- a/api/core/model_runtime/model_providers/google/google.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: google
-label:
-  en_US: Google
-description:
-  en_US: Google's Gemini model.
-  zh_Hans: 谷歌提供的 Gemini 模型.
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FCFDFF"
-help:
-  title:
-    en_US: Get your API Key from Google
-    zh_Hans: 从 Google 获取 API Key
-  url:
-    en_US: https://ai.google.dev/
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: google_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/google/llm/__init__.py b/api/core/model_runtime/model_providers/google/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/google/llm/_position.yaml b/api/core/model_runtime/model_providers/google/llm/_position.yaml
deleted file mode 100644
index 2b865834e1..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/_position.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-- gemini-2.0-flash-001
-- gemini-2.0-flash-exp
-- gemini-2.0-flash-lite-preview-02-05
-- gemini-2.0-pro-exp-02-05
-- gemini-2.0-flash-thinking-exp-1219
-- gemini-2.0-flash-thinking-exp-01-21
-- gemini-1.5-pro
-- gemini-1.5-pro-latest
-- gemini-1.5-pro-001
-- gemini-1.5-pro-002
-- gemini-1.5-pro-exp-0801
-- gemini-1.5-pro-exp-0827
-- gemini-1.5-flash
-- gemini-1.5-flash-latest
-- gemini-1.5-flash-001
-- gemini-1.5-flash-002
-- gemini-1.5-flash-exp-0827
-- gemini-1.5-flash-8b-exp-0827
-- gemini-1.5-flash-8b-exp-0924
-- gemini-exp-1206
-- gemini-exp-1121
-- gemini-exp-1114
-- gemini-pro
-- gemini-pro-vision
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml
deleted file mode 100644
index 86bba2154a..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-001
-label:
-  en_US: Gemini 1.5 Flash 001
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml
deleted file mode 100644
index 9ad57a1933..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-002
-label:
-  en_US: Gemini 1.5 Flash 002
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml
deleted file mode 100644
index 72205f15a8..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-8b-exp-0827
-label:
-  en_US: Gemini 1.5 Flash 8B 0827
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml
deleted file mode 100644
index 1193e60669..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-8b-exp-0924
-label:
-  en_US: Gemini 1.5 Flash 8B 0924
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml
deleted file mode 100644
index 7eba1f3d4d..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-exp-0827
-label:
-  en_US: Gemini 1.5 Flash 0827
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml
deleted file mode 100644
index b8c5024158..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash-latest
-label:
-  en_US: Gemini 1.5 Flash Latest
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml
deleted file mode 100644
index ea0c42dda8..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-flash
-label:
-  en_US: Gemini 1.5 Flash
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml
deleted file mode 100644
index 16df30857c..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro-001
-label:
-  en_US: Gemini 1.5 Pro 001
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml
deleted file mode 100644
index 717d9481b9..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro-002
-label:
-  en_US: Gemini 1.5 Pro 002
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml
deleted file mode 100644
index bf9704f0d5..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro-exp-0801
-label:
-  en_US: Gemini 1.5 Pro 0801
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml
deleted file mode 100644
index 714ff35f34..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro-exp-0827
-label:
-  en_US: Gemini 1.5 Pro 0827
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml
deleted file mode 100644
index bbca2ba385..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro-latest
-label:
-  en_US: Gemini 1.5 Pro Latest
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml
deleted file mode 100644
index ae127fb4e2..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-1.5-pro
-label:
-  en_US: Gemini 1.5 Pro
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yaml
deleted file mode 100644
index bef7ca5eef..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-001.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-2.0-flash-001
-label:
-  en_US: Gemini 2.0 Flash 001
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml
deleted file mode 100644
index 966617e902..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-exp.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-2.0-flash-exp
-label:
-  en_US: Gemini 2.0 Flash Exp
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml
deleted file mode 100644
index 9c0a1e0620..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-2.0-flash-lite-preview-02-05
-label:
-  en_US: Gemini 2.0 Flash Lite Preview 0205
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
deleted file mode 100644
index 7167626494..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: gemini-2.0-flash-thinking-exp-01-21
-label:
-  en_US: Gemini 2.0 Flash Thinking Exp 01-21
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 32767
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml
deleted file mode 100644
index dfcf8fd050..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: gemini-2.0-flash-thinking-exp-1219
-label:
-  en_US: Gemini 2.0 Flash Thinking Exp 1219
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 32767
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml
deleted file mode 100644
index fb571f08cb..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-2.0-pro-exp-02-05.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-2.0-pro-exp-02-05
-label:
-  en_US: Gemini 2.0 pro exp 02-05
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml
deleted file mode 100644
index bd49b47693..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-exp-1114
-label:
-  en_US: Gemini exp 1114
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 32767
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml
deleted file mode 100644
index 8e3f218df4..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1121.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-exp-1121
-label:
-  en_US: Gemini exp 1121
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 32767
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml
deleted file mode 100644
index 7a7c361c43..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gemini-exp-1206
-label:
-  en_US: Gemini exp 1206
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 2097152
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml
deleted file mode 100644
index 5b589745d7..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-model: gemini-pro-vision
-label:
-  en_US: Gemini Pro Vision
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 12288
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens_to_sample
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml
deleted file mode 100644
index f05fec8c5d..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: gemini-pro
-label:
-  en_US: Gemini Pro
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 30720
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens_to_sample
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml b/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml
deleted file mode 100644
index f6d90d52ec..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/learnlm-1.5-pro-experimental.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: learnlm-1.5-pro-experimental
-label:
-  en_US: LearnLM 1.5 Pro Experimental
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-  - video
-  - audio
-model_properties:
-  mode: chat
-  context_size: 32767
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/google/llm/llm.py b/api/core/model_runtime/model_providers/google/llm/llm.py
deleted file mode 100644
index 98273f60a4..0000000000
--- a/api/core/model_runtime/model_providers/google/llm/llm.py
+++ /dev/null
@@ -1,473 +0,0 @@
-import base64
-import json
-import os
-import tempfile
-import time
-from collections.abc import Generator
-from typing import Optional, Union
-
-import google.ai.generativelanguage as glm
-import google.generativeai as genai  # type: ignore
-import requests
-from google.api_core import exceptions
-from google.generativeai.types import ContentType, File, GenerateContentResponse
-from google.generativeai.types.content_types import to_part
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from extensions.ext_redis import redis_client
-
-
-class GoogleLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke model
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:md = genai.GenerativeModel(model)
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Google model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        return text.rstrip()
-
-    def _convert_tools_to_glm_tool(self, tools: list[PromptMessageTool]) -> glm.Tool:
-        """
-        Convert tool messages to glm tools
-
-        :param tools: tool messages
-        :return: glm tools
-        """
-        function_declarations = []
-        for tool in tools:
-            properties = {}
-            for key, value in tool.parameters.get("properties", {}).items():
-                properties[key] = {
-                    "type_": glm.Type.STRING,
-                    "description": value.get("description", ""),
-                    "enum": value.get("enum", []),
-                }
-
-            if properties:
-                parameters = glm.Schema(
-                    type=glm.Type.OBJECT,
-                    properties=properties,
-                    required=tool.parameters.get("required", []),
-                )
-            else:
-                parameters = None
-
-            function_declaration = glm.FunctionDeclaration(
-                name=tool.name,
-                parameters=parameters,
-                description=tool.description,
-            )
-            function_declarations.append(function_declaration)
-
-        return glm.Tool(function_declarations=function_declarations)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-
-        try:
-            ping_message = UserPromptMessage(content="ping")
-            self._generate(model, credentials, [ping_message], {"max_output_tokens": 5})
-
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        config_kwargs = model_parameters.copy()
-        if schema := config_kwargs.pop("json_schema", None):
-            try:
-                schema = json.loads(schema)
-            except:
-                raise exceptions.InvalidArgument("Invalid JSON Schema")
-            if tools:
-                raise exceptions.InvalidArgument("gemini not support use Tools and JSON Schema at same time")
-            config_kwargs["response_schema"] = schema
-            config_kwargs["response_mime_type"] = "application/json"
-
-        if stop:
-            config_kwargs["stop_sequences"] = stop
-
-        genai.configure(api_key=credentials["google_api_key"])
-
-        history = []
-        system_instruction = None
-
-        for msg in prompt_messages:  # makes message roles strictly alternating
-            content = self._format_message_to_glm_content(msg)
-            if history and history[-1]["role"] == content["role"]:
-                history[-1]["parts"].extend(content["parts"])
-            elif content["role"] == "system":
-                system_instruction = content["parts"][0]
-            else:
-                history.append(content)
-
-        if not history:
-            raise InvokeError("The user prompt message is required. You only add a system prompt message.")
-
-        google_model = genai.GenerativeModel(model_name=model, system_instruction=system_instruction)
-        response = google_model.generate_content(
-            contents=history,
-            generation_config=genai.types.GenerationConfig(**config_kwargs),
-            stream=stream,
-            tools=self._convert_tools_to_glm_tool(tools) if tools else None,
-            request_options={"timeout": 600},
-        )
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: GenerateContentResponse, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=response.text)
-
-        # calculate num tokens
-        if response.usage_metadata:
-            prompt_tokens = response.usage_metadata.prompt_token_count
-            completion_tokens = response.usage_metadata.candidates_token_count
-        else:
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: GenerateContentResponse, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        index = -1
-        for chunk in response:
-            for part in chunk.parts:
-                assistant_prompt_message = AssistantPromptMessage(content="")
-
-                if part.text:
-                    assistant_prompt_message.content += part.text
-
-                if part.function_call:
-                    assistant_prompt_message.tool_calls = [
-                        AssistantPromptMessage.ToolCall(
-                            id=part.function_call.name,
-                            type="function",
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=part.function_call.name,
-                                arguments=json.dumps(dict(part.function_call.args.items())),
-                            ),
-                        )
-                    ]
-
-                index += 1
-
-                if not response._done:
-                    # transform assistant message to prompt message
-                    yield LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                    )
-                else:
-                    # calculate num tokens
-                    if hasattr(response, "usage_metadata") and response.usage_metadata:
-                        prompt_tokens = response.usage_metadata.prompt_token_count
-                        completion_tokens = response.usage_metadata.candidates_token_count
-                    else:
-                        prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-                        completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-                    # transform usage
-                    usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                    yield LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=index,
-                            message=assistant_prompt_message,
-                            finish_reason=str(chunk.candidates[0].finish_reason),
-                            usage=usage,
-                        ),
-                    )
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nuser:"
-        ai_prompt = "\n\nmodel:"
-
-        content = message.content
-        if isinstance(content, list):
-            content = "".join(c.data for c in content if c.type == PromptMessageContentType.TEXT)
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage | ToolPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _upload_file_content_to_google(self, message_content: PromptMessageContent) -> File:
-        key = f"{message_content.type.value}:{hash(message_content.data)}"
-        if redis_client.exists(key):
-            try:
-                return genai.get_file(redis_client.get(key).decode())
-            except:
-                pass
-        with tempfile.NamedTemporaryFile(delete=False) as temp_file:
-            if message_content.base64_data:
-                file_content = base64.b64decode(message_content.base64_data)
-                temp_file.write(file_content)
-            else:
-                try:
-                    response = requests.get(message_content.url)
-                    response.raise_for_status()
-                    temp_file.write(response.content)
-                except Exception as ex:
-                    raise ValueError(f"Failed to fetch data from url {message_content.url}, {ex}")
-            temp_file.flush()
-
-        file = genai.upload_file(path=temp_file.name, mime_type=message_content.mime_type)
-        while file.state.name == "PROCESSING":
-            time.sleep(5)
-            file = genai.get_file(file.name)
-        # google will delete your upload files in 2 days.
-        redis_client.setex(key, 47 * 60 * 60, file.name)
-
-        try:
-            os.unlink(temp_file.name)
-        except PermissionError:
-            # windows may raise permission error
-            pass
-        return file
-
-    def _format_message_to_glm_content(self, message: PromptMessage) -> ContentType:
-        """
-        Format a single message into glm.Content for Google API
-
-        :param message: one PromptMessage
-        :return: glm Content representation of message
-        """
-        if isinstance(message, UserPromptMessage):
-            glm_content = {"role": "user", "parts": []}
-            if isinstance(message.content, str):
-                glm_content["parts"].append(to_part(message.content))
-            else:
-                for c in message.content:
-                    if c.type == PromptMessageContentType.TEXT:
-                        glm_content["parts"].append(to_part(c.data))
-                    else:
-                        glm_content["parts"].append(self._upload_file_content_to_google(c))
-
-            return glm_content
-        elif isinstance(message, AssistantPromptMessage):
-            glm_content = {"role": "model", "parts": []}
-            if message.content:
-                glm_content["parts"].append(to_part(message.content))
-            if message.tool_calls:
-                glm_content["parts"].append(
-                    to_part(
-                        glm.FunctionCall(
-                            name=message.tool_calls[0].function.name,
-                            args=json.loads(message.tool_calls[0].function.arguments),
-                        )
-                    )
-                )
-            return glm_content
-        elif isinstance(message, SystemPromptMessage):
-            if isinstance(message.content, list):
-                text_contents = filter(lambda c: isinstance(c, TextPromptMessageContent), message.content)
-                message.content = "".join(c.data for c in text_contents)
-            return {"role": "system", "parts": [to_part(message.content)]}
-        elif isinstance(message, ToolPromptMessage):
-            return {
-                "role": "function",
-                "parts": [
-                    glm.Part(
-                        function_response=glm.FunctionResponse(
-                            name=message.name, response={"response": message.content}
-                        )
-                    )
-                ],
-            }
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller
-        The value is the md = genai.GenerativeModel(model) error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke emd = genai.GenerativeModel(model) error mapping
-        """
-        return {
-            InvokeConnectionError: [exceptions.RetryError],
-            InvokeServerUnavailableError: [
-                exceptions.ServiceUnavailable,
-                exceptions.InternalServerError,
-                exceptions.BadGateway,
-                exceptions.GatewayTimeout,
-                exceptions.DeadlineExceeded,
-            ],
-            InvokeRateLimitError: [exceptions.ResourceExhausted, exceptions.TooManyRequests],
-            InvokeAuthorizationError: [
-                exceptions.Unauthenticated,
-                exceptions.PermissionDenied,
-                exceptions.Unauthenticated,
-                exceptions.Forbidden,
-            ],
-            InvokeBadRequestError: [
-                exceptions.BadRequest,
-                exceptions.InvalidArgument,
-                exceptions.FailedPrecondition,
-                exceptions.OutOfRange,
-                exceptions.NotFound,
-                exceptions.MethodNotAllowed,
-                exceptions.Conflict,
-                exceptions.AlreadyExists,
-                exceptions.Aborted,
-                exceptions.LengthRequired,
-                exceptions.PreconditionFailed,
-                exceptions.RequestRangeNotSatisfiable,
-                exceptions.Cancelled,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/gpustack/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/gpustack/_assets/icon_l_en.png
deleted file mode 100644
index dfe8e78049c4dec13e8516565780f2ec9e239f91..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/api/core/model_runtime/model_providers/gpustack/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/gpustack/_assets/icon_s_en.svg
deleted file mode 100644
index c5c608cd7c..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="24" height="24" rx="6" fill="url(#paint0_linear_7301_16076)"/>
-<path d="M20 12.0116C15.7043 12.42 12.3692 15.757 11.9995 20C11.652 15.8183 8.20301 12.361 4 12.0181C8.21855 11.6991 11.6656 8.1853 12.006 4C12.2833 8.19653 15.8057 11.7005 20 12.0116Z" fill="white" fill-opacity="0.88"/>
-<defs>
-<linearGradient id="paint0_linear_7301_16076" x1="-9" y1="29.5" x2="19.4387" y2="1.43791" gradientUnits="userSpaceOnUse">
-<stop offset="0.192878" stop-color="#1C7DFF"/>
-<stop offset="0.520213" stop-color="#1C69FF"/>
-<stop offset="1" stop-color="#F0DCD6"/>
-</linearGradient>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/gpustack/gpustack.py b/api/core/model_runtime/model_providers/gpustack/gpustack.py
deleted file mode 100644
index 321100167e..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/gpustack.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class GPUStackProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/gpustack/gpustack.yaml b/api/core/model_runtime/model_providers/gpustack/gpustack.yaml
deleted file mode 100644
index 6a1673fa2e..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/gpustack.yaml
+++ /dev/null
@@ -1,138 +0,0 @@
-provider: gpustack
-label:
-  en_US: GPUStack
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-  - tts
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: endpoint_url
-      label:
-        zh_Hans: 服务器地址
-        en_US: Server URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 输入 GPUStack 的服务器地址，如 http://192.168.1.100
-        en_US: Enter the GPUStack server URL, e.g. http://192.168.1.100
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 输入您的 API Key
-        en_US: Enter your API Key
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择补全类型
-        en_US: Select completion type
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: "8192"
-      placeholder:
-        zh_Hans: 输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens_to_sample
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: "8192"
-      type: text-input
-    - variable: function_calling_type
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: function_call
-          label:
-            en_US: Function Call
-            zh_Hans: Function Call
-        - value: tool_call
-          label:
-            en_US: Tool Call
-            zh_Hans: Tool Call
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-    - variable: vision_support
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: Vision 支持
-        en_US: Vision Support
-      type: select
-      required: false
-      default: no_support
-      options:
-        - value: support
-          label:
-            en_US: Support
-            zh_Hans: 支持
-        - value: no_support
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-    - variable: voices
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: Available Voices (comma-separated)
-        zh_Hans: 可用声音（用英文逗号分隔）
-      type: text-input
-      required: false
-      default: "Chinese Female"
-      placeholder:
-        en_US: "Chinese Female, Chinese Male, Japanese Male, Cantonese Female, English Female, English Male, Korean Female"
-        zh_Hans: "Chinese Female, Chinese Male, Japanese Male, Cantonese Female, English Female, English Male, Korean Female"
-      help:
-        en_US: "List voice names separated by commas. First voice will be used as default."
-        zh_Hans: "用英文逗号分隔的声音列表。第一个声音将作为默认值。"
diff --git a/api/core/model_runtime/model_providers/gpustack/llm/__init__.py b/api/core/model_runtime/model_providers/gpustack/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gpustack/llm/llm.py b/api/core/model_runtime/model_providers/gpustack/llm/llm.py
deleted file mode 100644
index 429c761837..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/llm/llm.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from collections.abc import Generator
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import (
-    OAIAPICompatLargeLanguageModel,
-)
-
-
-class GPUStackLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        return super()._invoke(
-            model,
-            compatible_credentials,
-            prompt_messages,
-            model_parameters,
-            tools,
-            stop,
-            stream,
-            user,
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        super().validate_credentials(model, compatible_credentials)
-
-    def _get_compatible_credentials(self, credentials: dict) -> dict:
-        credentials = credentials.copy()
-        base_url = credentials["endpoint_url"].rstrip("/").removesuffix("/v1-openai")
-        credentials["endpoint_url"] = f"{base_url}/v1-openai"
-        return credentials
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict) -> None:
-        credentials["mode"] = "chat"
diff --git a/api/core/model_runtime/model_providers/gpustack/rerank/__init__.py b/api/core/model_runtime/model_providers/gpustack/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gpustack/rerank/rerank.py b/api/core/model_runtime/model_providers/gpustack/rerank/rerank.py
deleted file mode 100644
index feb5777028..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/rerank/rerank.py
+++ /dev/null
@@ -1,146 +0,0 @@
-from json import dumps
-from typing import Optional
-
-import httpx
-from requests import post
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-)
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class GPUStackRerankModel(RerankModel):
-    """
-    Model class for GPUStack rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        endpoint_url = credentials["endpoint_url"]
-        headers = {
-            "Authorization": f"Bearer {credentials.get('api_key')}",
-            "Content-Type": "application/json",
-        }
-
-        data = {"model": model, "query": query, "documents": docs, "top_n": top_n}
-
-        try:
-            response = post(
-                str(URL(endpoint_url) / "v1" / "rerank"),
-                headers=headers,
-                data=dumps(data),
-                timeout=10,
-            )
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["results"]:
-                index = result["index"]
-                if "document" in result:
-                    text = result["document"]["text"]
-                else:
-                    text = docs[index]
-
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=text,
-                    score=result["relevance_score"],
-                )
-
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/gpustack/speech2text/__init__.py b/api/core/model_runtime/model_providers/gpustack/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gpustack/speech2text/speech2text.py b/api/core/model_runtime/model_providers/gpustack/speech2text/speech2text.py
deleted file mode 100644
index e8ee90db6c..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/speech2text/speech2text.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import IO, Optional
-
-from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import OAICompatSpeech2TextModel
-
-
-class GPUStackSpeech2TextModel(OAICompatSpeech2TextModel):
-    """
-    Model class for GPUStack Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        return super()._invoke(model, compatible_credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        """
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        super().validate_credentials(model, compatible_credentials)
-
-    def _get_compatible_credentials(self, credentials: dict) -> dict:
-        """
-        Get compatible credentials
-
-        :param credentials: model credentials
-        :return: compatible credentials
-        """
-        compatible_credentials = credentials.copy()
-        base_url = credentials["endpoint_url"].rstrip("/").removesuffix("/v1-openai")
-        compatible_credentials["endpoint_url"] = f"{base_url}/v1-openai"
-        return compatible_credentials
diff --git a/api/core/model_runtime/model_providers/gpustack/text_embedding/__init__.py b/api/core/model_runtime/model_providers/gpustack/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gpustack/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/gpustack/text_embedding/text_embedding.py
deleted file mode 100644
index 35b499e51a..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.text_embedding_entities import (
-    TextEmbeddingResult,
-)
-from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
-    OAICompatEmbeddingModel,
-)
-
-
-class GPUStackTextEmbeddingModel(OAICompatEmbeddingModel):
-    """
-    Model class for GPUStack text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        return super()._invoke(model, compatible_credentials, texts, user, input_type)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        super().validate_credentials(model, compatible_credentials)
-
-    def _get_compatible_credentials(self, credentials: dict) -> dict:
-        credentials = credentials.copy()
-        base_url = credentials["endpoint_url"].rstrip("/").removesuffix("/v1-openai")
-        credentials["endpoint_url"] = f"{base_url}/v1-openai"
-        return credentials
diff --git a/api/core/model_runtime/model_providers/gpustack/tts/__init__.py b/api/core/model_runtime/model_providers/gpustack/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/gpustack/tts/tts.py b/api/core/model_runtime/model_providers/gpustack/tts/tts.py
deleted file mode 100644
index f144ddff4b..0000000000
--- a/api/core/model_runtime/model_providers/gpustack/tts/tts.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from typing import Any, Optional
-
-from core.model_runtime.model_providers.openai_api_compatible.tts.tts import OAICompatText2SpeechModel
-
-
-class GPUStackText2SpeechModel(OAICompatText2SpeechModel):
-    """
-    Model class for GPUStack Text to Speech model.
-    """
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        Invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        return super()._invoke(
-            model=model,
-            tenant_id=tenant_id,
-            credentials=compatible_credentials,
-            content_text=content_text,
-            voice=voice,
-            user=user,
-        )
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :param user: unique user id
-        """
-        compatible_credentials = self._get_compatible_credentials(credentials)
-        super().validate_credentials(model, compatible_credentials)
-
-    def _get_compatible_credentials(self, credentials: dict) -> dict:
-        """
-        Get compatible credentials
-
-        :param credentials: model credentials
-        :return: compatible credentials
-        """
-        compatible_credentials = credentials.copy()
-        base_url = credentials["endpoint_url"].rstrip("/").removesuffix("/v1-openai")
-        compatible_credentials["endpoint_url"] = f"{base_url}/v1-openai"
-
-        return compatible_credentials
diff --git a/api/core/model_runtime/model_providers/groq/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/groq/_assets/icon_l_en.svg
deleted file mode 100644
index 2505a5f493..0000000000
--- a/api/core/model_runtime/model_providers/groq/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg width="112" height="24" viewBox="0 0 112 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M57.4336 17.092C56.4746 16.5453 55.7216 15.7924 55.1749 14.8244C54.6283 13.8564 54.3594 12.763 54.3594 11.544C54.3594 10.3251 54.6283 9.2137 55.1749 8.24571C55.7216 7.27772 56.4746 6.52485 57.4336 5.98708C58.3926 5.4493 59.4861 5.18042 60.6961 5.18042C61.6999 5.18042 62.623 5.3776 63.4476 5.77197C64.2722 6.16633 64.9445 6.73995 65.4554 7.49284L64.568 8.13816C64.1199 7.51076 63.5642 7.04469 62.9009 6.731C62.2377 6.41729 61.5027 6.26492 60.705 6.26492C59.7281 6.26492 58.8498 6.48899 58.0789 6.92818C57.2992 7.36736 56.6986 7.98579 56.2505 8.79244C55.8113 9.59014 55.5872 10.5133 55.5872 11.553C55.5872 12.5926 55.8113 13.5159 56.2505 14.3136C56.6896 15.1112 57.2992 15.7297 58.0789 16.1778C58.8587 16.617 59.7281 16.8411 60.705 16.8411C61.5027 16.8411 62.2377 16.6888 62.9009 16.375C63.5642 16.0613 64.1199 15.5953 64.568 14.9678L65.4554 15.6132C64.9445 16.366 64.2722 16.9396 63.4476 17.334C62.623 17.7284 61.7089 17.9255 60.6961 17.9255C59.4771 17.9255 58.3926 17.6568 57.4336 17.11V17.092Z" fill="#F55036"/>
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diff --git a/api/core/model_runtime/model_providers/groq/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/groq/_assets/icon_s_en.svg
deleted file mode 100644
index 087f37e471..0000000000
--- a/api/core/model_runtime/model_providers/groq/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="24" height="24" rx="12" fill="#F55036"/>
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diff --git a/api/core/model_runtime/model_providers/groq/groq.py b/api/core/model_runtime/model_providers/groq/groq.py
deleted file mode 100644
index d0d5ff68f8..0000000000
--- a/api/core/model_runtime/model_providers/groq/groq.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class GroqProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="llama3-8b-8192", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/groq/groq.yaml b/api/core/model_runtime/model_providers/groq/groq.yaml
deleted file mode 100644
index d6534e1bf1..0000000000
--- a/api/core/model_runtime/model_providers/groq/groq.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-provider: groq
-label:
-  zh_Hans: GroqCloud
-  en_US: GroqCloud
-description:
-  en_US: GroqCloud provides access to the Groq Cloud API, which hosts models like LLama2 and Mixtral.
-  zh_Hans: GroqCloud 提供对 Groq Cloud API 的访问，其中托管了 LLama2 和 Mixtral 等模型。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#F5F5F4"
-help:
-  title:
-    en_US: Get your API Key from GroqCloud
-    zh_Hans: 从 GroqCloud 获取 API Key
-  url:
-    en_US: https://console.groq.com/
-supported_model_types:
-  - llm
-  - speech2text
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/groq/llm/_position.yaml b/api/core/model_runtime/model_providers/groq/llm/_position.yaml
deleted file mode 100644
index 7e0261699d..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/_position.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-- deepseek-r1-distill-llama-70b
-- llama-3.1-405b-reasoning
-- llama-3.3-70b-versatile
-- llama-3.1-70b-versatile
-- llama-3.1-8b-instant
-- llama3-70b-8192
-- llama3-8b-8192
-- mixtral-8x7b-32768
-- llama2-70b-4096
-- llama-guard-3-8b
diff --git a/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml b/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml
deleted file mode 100644
index 4947897c23..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/deepseek-r1-distill-llama-70b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: deepseek-r1-distill-llama-70b
-label:
-  en_US: DeepSeek R1 Distill Llama 70b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '3.00'
-  output: '3.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/gemma-7b-it.yaml b/api/core/model_runtime/model_providers/groq/llm/gemma-7b-it.yaml
deleted file mode 100644
index 157baaf315..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/gemma-7b-it.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemma-7b-it
-label:
-  zh_Hans: Gemma 7B Instruction Tuned
-  en_US: Gemma 7B Instruction Tuned
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/gemma2-9b-it.yaml b/api/core/model_runtime/model_providers/groq/llm/gemma2-9b-it.yaml
deleted file mode 100644
index d0294ac6aa..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/gemma2-9b-it.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemma2-9b-it
-label:
-  zh_Hans: Gemma 2 9B Instruction Tuned
-  en_US: Gemma 2 9B Instruction Tuned
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-405b-reasoning.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.1-405b-reasoning.yaml
deleted file mode 100644
index 3cbce0c053..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-405b-reasoning.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama-3.1-405b-reasoning
-label:
-  zh_Hans: Llama-3.1-405b-reasoning
-  en_US: Llama-3.1-405b-reasoning
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-70b-versatile.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.1-70b-versatile.yaml
deleted file mode 100644
index 07a0187e47..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-70b-versatile.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: llama-3.1-70b-versatile
-deprecated: true
-label:
-  zh_Hans: Llama-3.1-70b-versatile (DEPRECATED)
-  en_US: Llama-3.1-70b-versatile (DEPRECATED)
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-8b-instant.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.1-8b-instant.yaml
deleted file mode 100644
index 04eae49b96..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.1-8b-instant.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.1-8b-instant
-label:
-  zh_Hans: Llama-3.1-8b-instant
-  en_US: Llama-3.1-8b-instant
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-text-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-text-preview.yaml
deleted file mode 100644
index e6eadeb072..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-text-preview.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.2-11b-text-preview
-deprecated: true
-label:
-  zh_Hans: Llama 3.2 11B Text (Preview)
-  en_US: Llama 3.2 11B Text (Preview)
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-vision-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-vision-preview.yaml
deleted file mode 100644
index 241a7bed10..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-11b-vision-preview.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.2-11b-vision-preview
-label:
-  zh_Hans: Llama 3.2 11B Vision (Preview)
-  en_US: Llama 3.2 11B Vision (Preview)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-1b-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-1b-preview.yaml
deleted file mode 100644
index a6087d3443..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-1b-preview.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama-3.2-1b-preview
-label:
-  zh_Hans: Llama 3.2 1B Text (Preview)
-  en_US: Llama 3.2 1B Text (Preview)
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-3b-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-3b-preview.yaml
deleted file mode 100644
index 93a8127ec6..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-3b-preview.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama-3.2-3b-preview
-label:
-  zh_Hans: Llama 3.2 3B Text (Preview)
-  en_US: Llama 3.2 3B Text (Preview)
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-text-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-text-preview.yaml
deleted file mode 100644
index f9361bff62..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-text-preview.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.2-90b-text-preview
-depraceted: true
-label:
-  zh_Hans: Llama 3.2 90B Text (Preview)
-  en_US: Llama 3.2 90B Text (Preview)
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-vision-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-vision-preview.yaml
deleted file mode 100644
index 145b457924..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.2-90b-vision-preview.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.2-90b-vision-preview
-label:
-  zh_Hans: Llama 3.2 90B Vision (Preview)
-  en_US: Llama 3.2 90B Vision (Preview)
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.1'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-specdec.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-specdec.yaml
deleted file mode 100644
index 916dfee391..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-specdec.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.3-70b-specdec
-label:
-  zh_Hans: Llama 3.3 70B Specdec
-  en_US: Llama 3.3 70B Specdec
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32768
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "0.05"
-  output: "0.1"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-versatile.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-versatile.yaml
deleted file mode 100644
index a5de4e752f..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-3.3-70b-versatile.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama-3.3-70b-versatile
-label:
-  zh_Hans: Llama 3.3 70B Versatile
-  en_US: Llama 3.3 70B Versatile
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32768
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "0.05"
-  output: "0.1"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama-guard-3-8b.yaml b/api/core/model_runtime/model_providers/groq/llm/llama-guard-3-8b.yaml
deleted file mode 100644
index bd8e5d2a3a..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama-guard-3-8b.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama-guard-3-8b
-label:
-  zh_Hans: Llama-Guard-3-8B
-  en_US: Llama-Guard-3-8B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.20'
-  output: '0.20'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama2-70b-4096.yaml b/api/core/model_runtime/model_providers/groq/llm/llama2-70b-4096.yaml
deleted file mode 100644
index 6e7ffd7a94..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama2-70b-4096.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama2-70b-4096
-label:
-  zh_Hans: Llama-2-70B-4096
-  en_US: Llama-2-70B-4096
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.7'
-  output: '0.8'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama3-70b-8192.yaml b/api/core/model_runtime/model_providers/groq/llm/llama3-70b-8192.yaml
deleted file mode 100644
index 2c25bb7433..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama3-70b-8192.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: llama3-70b-8192
-label:
-  zh_Hans: Llama-3-70B-8192
-  en_US: Llama-3-70B-8192
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.59'
-  output: '0.79'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama3-8b-8192.yaml b/api/core/model_runtime/model_providers/groq/llm/llama3-8b-8192.yaml
deleted file mode 100644
index d8a708eaf4..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama3-8b-8192.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama3-8b-8192
-label:
-  zh_Hans: Llama-3-8B-8192
-  en_US: Llama-3-8B-8192
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.08'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml b/api/core/model_runtime/model_providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml
deleted file mode 100644
index 61c83c980c..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: llama3-groq-70b-8192-tool-use-preview
-label:
-  zh_Hans: Llama3-groq-70b-8192-tool-use (PREVIEW)
-  en_US: Llama3-groq-70b-8192-tool-use (PREVIEW)
-model_type: llm
-features:
-  - agent-thought
-  - multi-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.08'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/llm/llm.py b/api/core/model_runtime/model_providers/groq/llm/llm.py
deleted file mode 100644
index 352a7b519e..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/llm.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class GroqLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = "https://api.groq.com/openai/v1"
diff --git a/api/core/model_runtime/model_providers/groq/llm/mixtral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/groq/llm/mixtral-8x7b-instruct-v0.1.yaml
deleted file mode 100644
index 0dc6678fa2..0000000000
--- a/api/core/model_runtime/model_providers/groq/llm/mixtral-8x7b-instruct-v0.1.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: mixtral-8x7b-32768
-label:
-  zh_Hans: Mixtral-8x7b-Instruct-v0.1
-  en_US: Mixtral-8x7b-Instruct-v0.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 20480
-pricing:
-  input: '0.27'
-  output: '0.27'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/groq/speech2text/__init__.py b/api/core/model_runtime/model_providers/groq/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/groq/speech2text/distil-whisper-large-v3-en.yaml b/api/core/model_runtime/model_providers/groq/speech2text/distil-whisper-large-v3-en.yaml
deleted file mode 100644
index 202d006a66..0000000000
--- a/api/core/model_runtime/model_providers/groq/speech2text/distil-whisper-large-v3-en.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: distil-whisper-large-v3-en
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/groq/speech2text/speech2text.py b/api/core/model_runtime/model_providers/groq/speech2text/speech2text.py
deleted file mode 100644
index 75feeb9cb9..0000000000
--- a/api/core/model_runtime/model_providers/groq/speech2text/speech2text.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from typing import IO, Optional
-
-from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import OAICompatSpeech2TextModel
-
-
-class GroqSpeech2TextModel(OAICompatSpeech2TextModel):
-    """
-    Model class for Groq Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        return super().validate_credentials(model, credentials)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["endpoint_url"] = "https://api.groq.com/openai/v1"
diff --git a/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3-turbo.yaml b/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3-turbo.yaml
deleted file mode 100644
index 3882a3f4f2..0000000000
--- a/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3-turbo.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: whisper-large-v3-turbo
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3.yaml b/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3.yaml
deleted file mode 100644
index ed02477d70..0000000000
--- a/api/core/model_runtime/model_providers/groq/speech2text/whisper-large-v3.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: whisper-large-v3
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/__init__.py b/api/core/model_runtime/model_providers/huggingface_hub/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/huggingface_hub/_assets/icon_l_en.svg
deleted file mode 100644
index 70135a08de..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/_assets/icon_l_en.svg
+++ /dev/null
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diff --git a/api/core/model_runtime/model_providers/huggingface_hub/_common.py b/api/core/model_runtime/model_providers/huggingface_hub/_common.py
deleted file mode 100644
index d8a09265e2..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/_common.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from huggingface_hub.utils import BadRequestError, HfHubHTTPError  # type: ignore
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError, InvokeError
-
-
-class _CommonHuggingfaceHub:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {InvokeBadRequestError: [HfHubHTTPError, BadRequestError]}
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.py b/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.py
deleted file mode 100644
index 54d2a2bf39..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class HuggingfaceHubProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.yaml b/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.yaml
deleted file mode 100644
index 1df234cf26..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-provider: huggingface_hub
-label:
-  en_US: Hugging Face Model
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FFF8DC"
-help:
-  title:
-    en_US: Get your API key from Hugging Face Hub
-    zh_Hans: 从 Hugging Face Hub 获取 API Key
-  url:
-    en_US: https://huggingface.co/settings/tokens
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-  credential_form_schemas:
-    - variable: huggingfacehub_api_type
-      label:
-        en_US: Endpoint Type
-        zh_Hans: 端点类型
-      type: radio
-      required: true
-      default: hosted_inference_api
-      options:
-        - value: hosted_inference_api
-          label:
-            en_US: Hosted Inference API
-        - value: inference_endpoints
-          label:
-            en_US: Inference Endpoints
-    - variable: huggingfacehub_api_token
-      label:
-        en_US: API Token
-        zh_Hans: API Token
-      type: secret-input
-      required: true
-      placeholder:
-        en_US: Enter your Hugging Face Hub API Token here
-        zh_Hans: 在此输入您的 Hugging Face Hub API Token
-    - variable: huggingface_namespace
-      label:
-        en_US: 'User Name / Organization Name'
-        zh_Hans: '用户名 / 组织名称'
-      type: text-input
-      required: true
-      placeholder:
-        en_US: 'Enter your User Name / Organization Name here'
-        zh_Hans: '在此输入您的用户名 / 组织名称'
-      show_on:
-        - variable: __model_type
-          value: text-embedding
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
-    - variable: huggingfacehub_endpoint_url
-      label:
-        en_US: Endpoint URL
-        zh_Hans: 端点 URL
-      type: text-input
-      required: true
-      placeholder:
-        en_US: Enter your Endpoint URL here
-        zh_Hans: 在此输入您的端点 URL
-      show_on:
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
-    - variable: task_type
-      label:
-        en_US: Task
-        zh_Hans: Task
-      type: select
-      options:
-        - value: text2text-generation
-          label:
-            en_US: Text-to-Text Generation
-          show_on:
-            - variable: __model_type
-              value: llm
-        - value: text-generation
-          label:
-            en_US: Text Generation
-            zh_Hans: 文本生成
-          show_on:
-            - variable: __model_type
-              value: llm
-        - value: feature-extraction
-          label:
-            en_US: Feature Extraction
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-      show_on:
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/llm/__init__.py b/api/core/model_runtime/model_providers/huggingface_hub/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/llm/llm.py b/api/core/model_runtime/model_providers/huggingface_hub/llm/llm.py
deleted file mode 100644
index cdb4103cd8..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/llm/llm.py
+++ /dev/null
@@ -1,313 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from huggingface_hub import InferenceClient  # type: ignore
-from huggingface_hub.hf_api import HfApi  # type: ignore
-from huggingface_hub.utils import BadRequestError  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.defaults import PARAMETER_RULE_TEMPLATE
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.huggingface_hub._common import _CommonHuggingfaceHub
-
-
-class HuggingfaceHubLargeLanguageModel(_CommonHuggingfaceHub, LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        client = InferenceClient(token=credentials["huggingfacehub_api_token"])
-
-        if credentials["huggingfacehub_api_type"] == "inference_endpoints":
-            model = credentials["huggingfacehub_endpoint_url"]
-
-        if "baichuan" in model.lower():
-            stream = False
-
-        response = client.text_generation(
-            prompt=prompt_messages[0].content,
-            details=True,
-            stream=stream,
-            model=model,
-            stop_sequences=stop,
-            **model_parameters,
-        )
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, prompt_messages, response)
-
-        return self._handle_generate_response(model, credentials, prompt_messages, response)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        try:
-            if "huggingfacehub_api_type" not in credentials:
-                raise CredentialsValidateFailedError("Huggingface Hub Endpoint Type must be provided.")
-
-            if credentials["huggingfacehub_api_type"] not in {"inference_endpoints", "hosted_inference_api"}:
-                raise CredentialsValidateFailedError("Huggingface Hub Endpoint Type is invalid.")
-
-            if "huggingfacehub_api_token" not in credentials:
-                raise CredentialsValidateFailedError("Huggingface Hub Access Token must be provided.")
-
-            if credentials["huggingfacehub_api_type"] == "inference_endpoints":
-                if "huggingfacehub_endpoint_url" not in credentials:
-                    raise CredentialsValidateFailedError("Huggingface Hub Endpoint URL must be provided.")
-
-                if "task_type" not in credentials:
-                    raise CredentialsValidateFailedError("Huggingface Hub Task Type must be provided.")
-            elif credentials["huggingfacehub_api_type"] == "hosted_inference_api":
-                credentials["task_type"] = self._get_hosted_model_task_type(
-                    credentials["huggingfacehub_api_token"], model
-                )
-
-            if credentials["task_type"] not in {"text2text-generation", "text-generation"}:
-                raise CredentialsValidateFailedError(
-                    "Huggingface Hub Task Type must be one of text2text-generation, text-generation."
-                )
-
-            client = InferenceClient(token=credentials["huggingfacehub_api_token"])
-
-            if credentials["huggingfacehub_api_type"] == "inference_endpoints":
-                model = credentials["huggingfacehub_endpoint_url"]
-
-            try:
-                client.text_generation(prompt="Who are you?", stream=True, model=model)
-            except BadRequestError as e:
-                raise CredentialsValidateFailedError(
-                    "Only available for models running on with the `text-generation-inference`. "
-                    "To learn more about the TGI project, please refer to https://github.com/huggingface/text-generation-inference."
-                )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties={ModelPropertyKey.MODE: LLMMode.COMPLETION.value},
-            parameter_rules=self._get_customizable_model_parameter_rules(),
-        )
-
-        return entity
-
-    @staticmethod
-    def _get_customizable_model_parameter_rules() -> list[ParameterRule]:
-        temperature_rule_dict = PARAMETER_RULE_TEMPLATE.get(DefaultParameterName.TEMPERATURE).copy()
-        temperature_rule_dict["name"] = "temperature"
-        temperature_rule = ParameterRule(**temperature_rule_dict)
-        temperature_rule.default = 0.5
-
-        top_p_rule_dict = PARAMETER_RULE_TEMPLATE.get(DefaultParameterName.TOP_P).copy()
-        top_p_rule_dict["name"] = "top_p"
-        top_p_rule = ParameterRule(**top_p_rule_dict)
-        top_p_rule.default = 0.5
-
-        top_k_rule = ParameterRule(
-            name="top_k",
-            label={
-                "en_US": "Top K",
-                "zh_Hans": "Top K",
-            },
-            type="int",
-            help={
-                "en_US": "The number of highest probability vocabulary tokens to keep for top-k-filtering.",
-                "zh_Hans": "保留的最高概率词汇标记的数量。",
-            },
-            required=False,
-            default=2,
-            min=1,
-            max=10,
-            precision=0,
-        )
-
-        max_new_tokens = ParameterRule(
-            name="max_new_tokens",
-            label={
-                "en_US": "Max New Tokens",
-                "zh_Hans": "最大新标记",
-            },
-            type="int",
-            help={
-                "en_US": "Maximum number of generated tokens.",
-                "zh_Hans": "生成的标记的最大数量。",
-            },
-            required=False,
-            default=20,
-            min=1,
-            max=4096,
-            precision=0,
-        )
-
-        seed = ParameterRule(
-            name="seed",
-            label={
-                "en_US": "Random sampling seed",
-                "zh_Hans": "随机采样种子",
-            },
-            type="int",
-            help={
-                "en_US": "Random sampling seed.",
-                "zh_Hans": "随机采样种子。",
-            },
-            required=False,
-            precision=0,
-        )
-
-        repetition_penalty = ParameterRule(
-            name="repetition_penalty",
-            label={
-                "en_US": "Repetition Penalty",
-                "zh_Hans": "重复惩罚",
-            },
-            type="float",
-            help={
-                "en_US": "The parameter for repetition penalty. 1.0 means no penalty.",
-                "zh_Hans": "重复惩罚的参数。1.0 表示没有惩罚。",
-            },
-            required=False,
-            precision=1,
-        )
-
-        return [temperature_rule, top_k_rule, top_p_rule, max_new_tokens, seed, repetition_penalty]
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, prompt_messages: list[PromptMessage], response: Generator
-    ) -> Generator:
-        index = -1
-        for chunk in response:
-            # skip special tokens
-            if chunk.token.special:
-                continue
-
-            index += 1
-
-            assistant_prompt_message = AssistantPromptMessage(content=chunk.token.text)
-
-            if chunk.details:
-                prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-                completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=assistant_prompt_message,
-                        usage=usage,
-                        finish_reason=chunk.details.finish_reason,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, prompt_messages: list[PromptMessage], response: any
-    ) -> LLMResult:
-        if isinstance(response, str):
-            content = response
-        else:
-            content = response.generated_text
-
-        assistant_prompt_message = AssistantPromptMessage(content=content)
-
-        prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-        return result
-
-    @staticmethod
-    def _get_hosted_model_task_type(huggingfacehub_api_token: str, model_name: str):
-        hf_api = HfApi(token=huggingfacehub_api_token)
-        model_info = hf_api.model_info(repo_id=model_name)
-
-        try:
-            if not model_info:
-                raise ValueError(f"Model {model_name} not found.")
-
-            if "inference" in model_info.cardData and not model_info.cardData["inference"]:
-                raise ValueError(f"Inference API has been turned off for this model {model_name}.")
-
-            valid_tasks = ("text2text-generation", "text-generation")
-            if model_info.pipeline_tag not in valid_tasks:
-                raise ValueError(f"Model {model_name} is not a valid task, must be one of {valid_tasks}.")
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"{str(e)}")
-
-        return model_info.pipeline_tag
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        return text.rstrip()
-
-    @staticmethod
-    def _convert_one_message_to_text(message: PromptMessage) -> str:
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = content
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/__init__.py b/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py
deleted file mode 100644
index 93a1b40f73..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_hub/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,189 +0,0 @@
-import json
-import time
-from typing import Optional
-
-import numpy as np
-import requests
-from huggingface_hub import HfApi, InferenceClient  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.huggingface_hub._common import _CommonHuggingfaceHub
-
-HUGGINGFACE_ENDPOINT_API = "https://api.endpoints.huggingface.cloud/v2/endpoint/"
-
-
-class HuggingfaceHubTextEmbeddingModel(_CommonHuggingfaceHub, TextEmbeddingModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        client = InferenceClient(token=credentials["huggingfacehub_api_token"])
-
-        execute_model = model
-
-        if credentials["huggingfacehub_api_type"] == "inference_endpoints":
-            execute_model = credentials["huggingfacehub_endpoint_url"]
-
-        output = client.post(
-            json={"inputs": texts, "options": {"wait_for_model": False, "use_cache": False}}, model=execute_model
-        )
-
-        embeddings = json.loads(output.decode())
-
-        tokens = self.get_num_tokens(model, credentials, texts)
-        usage = self._calc_response_usage(model, credentials, tokens)
-
-        return TextEmbeddingResult(embeddings=self._mean_pooling(embeddings), usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        num_tokens = 0
-        for text in texts:
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        try:
-            if "huggingfacehub_api_type" not in credentials:
-                raise CredentialsValidateFailedError("Huggingface Hub Endpoint Type must be provided.")
-
-            if "huggingfacehub_api_token" not in credentials:
-                raise CredentialsValidateFailedError("Huggingface Hub API Token must be provided.")
-
-            if credentials["huggingfacehub_api_type"] == "inference_endpoints":
-                if "huggingface_namespace" not in credentials:
-                    raise CredentialsValidateFailedError(
-                        "Huggingface Hub User Name / Organization Name must be provided."
-                    )
-
-                if "huggingfacehub_endpoint_url" not in credentials:
-                    raise CredentialsValidateFailedError("Huggingface Hub Endpoint URL must be provided.")
-
-                if "task_type" not in credentials:
-                    raise CredentialsValidateFailedError("Huggingface Hub Task Type must be provided.")
-
-                if credentials["task_type"] != "feature-extraction":
-                    raise CredentialsValidateFailedError("Huggingface Hub Task Type is invalid.")
-
-                self._check_endpoint_url_model_repository_name(credentials, model)
-
-                model = credentials["huggingfacehub_endpoint_url"]
-
-            elif credentials["huggingfacehub_api_type"] == "hosted_inference_api":
-                self._check_hosted_model_task_type(credentials["huggingfacehub_api_token"], model)
-            else:
-                raise CredentialsValidateFailedError("Huggingface Hub Endpoint Type is invalid.")
-
-            client = InferenceClient(token=credentials["huggingfacehub_api_token"])
-            client.feature_extraction(text="hello world", model=model)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={"context_size": 10000, "max_chunks": 1},
-        )
-        return entity
-
-    # https://huggingface.co/docs/api-inference/detailed_parameters#feature-extraction-task
-    # Returned values are a list of floats, or a list[list[floats]]
-    # (depending on if you sent a string or a list of string,
-    # and if the automatic reduction, usually mean_pooling for instance was applied for you or not.
-    # This should be explained on the model's README.)
-    @staticmethod
-    def _mean_pooling(embeddings: list) -> list[float]:
-        # If automatic reduction by giving model, no need to mean_pooling.
-        # For example one: List[List[float]]
-        if not isinstance(embeddings[0][0], list):
-            return embeddings
-
-        # For example two: List[List[List[float]]], need to mean_pooling.
-        sentence_embeddings = [np.mean(embedding[0], axis=0).tolist() for embedding in embeddings]
-        return sentence_embeddings
-
-    @staticmethod
-    def _check_hosted_model_task_type(huggingfacehub_api_token: str, model_name: str) -> None:
-        hf_api = HfApi(token=huggingfacehub_api_token)
-        model_info = hf_api.model_info(repo_id=model_name)
-
-        try:
-            if not model_info:
-                raise ValueError(f"Model {model_name} not found.")
-
-            if "inference" in model_info.cardData and not model_info.cardData["inference"]:
-                raise ValueError(f"Inference API has been turned off for this model {model_name}.")
-
-            valid_tasks = "feature-extraction"
-            if model_info.pipeline_tag not in valid_tasks:
-                raise ValueError(f"Model {model_name} is not a valid task, must be one of {valid_tasks}.")
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"{str(e)}")
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @staticmethod
-    def _check_endpoint_url_model_repository_name(credentials: dict, model_name: str):
-        try:
-            url = f"{HUGGINGFACE_ENDPOINT_API}{credentials['huggingface_namespace']}"
-            headers = {
-                "Authorization": f"Bearer {credentials['huggingfacehub_api_token']}",
-                "Content-Type": "application/json",
-            }
-
-            response = requests.get(url=url, headers=headers)
-
-            if response.status_code != 200:
-                raise ValueError("User Name or Organization Name is invalid.")
-
-            model_repository_name = ""
-
-            for item in response.json().get("items", []):
-                if item.get("status", {}).get("url") == credentials["huggingfacehub_endpoint_url"]:
-                    model_repository_name = item.get("model", {}).get("repository")
-                    break
-
-            if model_repository_name != model_name:
-                raise ValueError(
-                    f"Model Name {model_name} is invalid. Please check it on the inference endpoints console."
-                )
-
-        except Exception as e:
-            raise ValueError(str(e))
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/__init__.py b/api/core/model_runtime/model_providers/huggingface_tei/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.py b/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.py
deleted file mode 100644
index 97d7e28dc6..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class HuggingfaceTeiProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.yaml b/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.yaml
deleted file mode 100644
index e81da51048..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_tei/huggingface_tei.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-provider: huggingface_tei
-label:
-  en_US: Text Embedding Inference
-description:
-  en_US: A blazing fast inference solution for text embeddings models.
-  zh_Hans: 用于文本嵌入模型的超快速推理解决方案。
-background: "#FFF8DC"
-help:
-  title:
-    en_US: How to deploy Text Embedding Inference
-    zh_Hans: 如何部署 Text Embedding Inference
-  url:
-    en_US: https://github.com/huggingface/text-embeddings-inference
-supported_model_types:
-  - text-embedding
-  - rerank
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: server_url
-      label:
-        zh_Hans: 服务器URL
-        en_US: Server url
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入Text Embedding Inference的服务器地址，如 http://192.168.1.100:8080
-        en_US: Enter the url of your Text Embedding Inference, e.g. http://192.168.1.100:8080
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/rerank/__init__.py b/api/core/model_runtime/model_providers/huggingface_tei/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/rerank/rerank.py b/api/core/model_runtime/model_providers/huggingface_tei/rerank/rerank.py
deleted file mode 100644
index 06f76c2d85..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_tei/rerank/rerank.py
+++ /dev/null
@@ -1,145 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-from core.model_runtime.model_providers.huggingface_tei.tei_helper import TeiHelper
-
-
-class HuggingfaceTeiRerankModel(RerankModel):
-    """
-    Model class for Text Embedding Inference rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-        server_url = credentials["server_url"]
-
-        server_url = server_url.removesuffix("/")
-
-        headers = {"Content-Type": "application/json"}
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        try:
-            results = TeiHelper.invoke_rerank(server_url, query, docs, headers)
-
-            rerank_documents = []
-            for result in results:
-                rerank_document = RerankDocument(
-                    index=result["index"],
-                    text=result["text"],
-                    score=result["score"],
-                )
-                if score_threshold is None or result["score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-                if top_n is not None and len(rerank_documents) >= top_n:
-                    break
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            server_url = credentials["server_url"]
-            headers = {"Content-Type": "application/json"}
-            api_key = credentials.get("api_key")
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-            extra_args = TeiHelper.get_tei_extra_parameter(server_url, model, headers)
-            if extra_args.model_type != "reranker":
-                raise CredentialsValidateFailedError("Current model is not a rerank model")
-
-            credentials["context_size"] = extra_args.max_input_length
-
-            self.invoke(
-                model=model,
-                credentials=credentials,
-                query="Whose kasumi",
-                docs=[
-                    'Kasumi is a girl\'s name of Japanese origin meaning "mist".',
-                    "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",
-                    "and she leads a team named PopiParty.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.RERANK,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-            },
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/tei_helper.py b/api/core/model_runtime/model_providers/huggingface_tei/tei_helper.py
deleted file mode 100644
index 3ffcf4175e..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_tei/tei_helper.py
+++ /dev/null
@@ -1,180 +0,0 @@
-from threading import Lock
-from time import time
-from typing import Optional
-
-import httpx
-from requests.adapters import HTTPAdapter
-from requests.exceptions import ConnectionError, MissingSchema, Timeout
-from requests.sessions import Session
-from yarl import URL
-
-
-class TeiModelExtraParameter:
-    model_type: str
-    max_input_length: int
-    max_client_batch_size: int
-
-    def __init__(self, model_type: str, max_input_length: int, max_client_batch_size: Optional[int] = None) -> None:
-        self.model_type = model_type
-        self.max_input_length = max_input_length
-        self.max_client_batch_size = max_client_batch_size
-
-
-cache = {}
-cache_lock = Lock()
-
-
-class TeiHelper:
-    @staticmethod
-    def get_tei_extra_parameter(
-        server_url: str, model_name: str, headers: Optional[dict] = None
-    ) -> TeiModelExtraParameter:
-        TeiHelper._clean_cache()
-        with cache_lock:
-            if model_name not in cache:
-                cache[model_name] = {
-                    "expires": time() + 300,
-                    "value": TeiHelper._get_tei_extra_parameter(server_url, headers),
-                }
-            return cache[model_name]["value"]
-
-    @staticmethod
-    def _clean_cache() -> None:
-        try:
-            with cache_lock:
-                expired_keys = [model_uid for model_uid, model in cache.items() if model["expires"] < time()]
-                for model_uid in expired_keys:
-                    del cache[model_uid]
-        except RuntimeError as e:
-            pass
-
-    @staticmethod
-    def _get_tei_extra_parameter(server_url: str, headers: Optional[dict] = None) -> TeiModelExtraParameter:
-        """
-        get tei model extra parameter like model_type, max_input_length, max_batch_requests
-        """
-
-        url = str(URL(server_url) / "info")
-
-        # this method is surrounded by a lock, and default requests may hang forever,
-        # so we just set a Adapter with max_retries=3
-        session = Session()
-        session.mount("http://", HTTPAdapter(max_retries=3))
-        session.mount("https://", HTTPAdapter(max_retries=3))
-
-        try:
-            response = session.get(url, headers=headers, timeout=10)
-        except (MissingSchema, ConnectionError, Timeout) as e:
-            raise RuntimeError(f"get tei model extra parameter failed, url: {url}, error: {e}")
-        if response.status_code != 200:
-            raise RuntimeError(
-                f"get tei model extra parameter failed, status code: {response.status_code}, response: {response.text}"
-            )
-
-        response_json = response.json()
-
-        model_type = response_json.get("model_type", {})
-        if len(model_type.keys()) < 1:
-            raise RuntimeError("model_type is empty")
-        model_type = list(model_type.keys())[0]
-        if model_type not in {"embedding", "reranker"}:
-            raise RuntimeError(f"invalid model_type: {model_type}")
-
-        max_input_length = response_json.get("max_input_length", 512)
-        max_client_batch_size = response_json.get("max_client_batch_size", 1)
-
-        return TeiModelExtraParameter(
-            model_type=model_type, max_input_length=max_input_length, max_client_batch_size=max_client_batch_size
-        )
-
-    @staticmethod
-    def invoke_tokenize(server_url: str, texts: list[str], headers: Optional[dict] = None) -> list[list[dict]]:
-        """
-        Invoke tokenize endpoint
-
-        Example response:
-        [
-            [
-                {
-                    "id": 0,
-                    "text": "<s>",
-                    "special": true,
-                    "start": null,
-                    "stop": null
-                },
-                {
-                    "id": 7704,
-                    "text": "str",
-                    "special": false,
-                    "start": 0,
-                    "stop": 3
-                },
-                < MORE TOKENS >
-            ]
-        ]
-
-        :param server_url: server url
-        :param texts: texts to tokenize
-        """
-        url = f"{server_url}/tokenize"
-        json_data = {"inputs": texts}
-        resp = httpx.post(url, json=json_data, headers=headers)
-
-        resp.raise_for_status()
-        return resp.json()
-
-    @staticmethod
-    def invoke_embeddings(server_url: str, texts: list[str], headers: Optional[dict] = None) -> dict:
-        """
-        Invoke embeddings endpoint
-
-        Example response:
-        {
-            "object": "list",
-            "data": [
-                {
-                    "object": "embedding",
-                    "embedding": [...],
-                    "index": 0
-                }
-            ],
-            "model": "MODEL_NAME",
-            "usage": {
-                "prompt_tokens": 3,
-                "total_tokens": 3
-            }
-        }
-
-        :param server_url: server url
-        :param texts: texts to embed
-        """
-        # Use OpenAI compatible API here, which has usage tracking
-        url = f"{server_url}/v1/embeddings"
-        json_data = {"input": texts}
-        resp = httpx.post(url, json=json_data, headers=headers)
-        resp.raise_for_status()
-        return resp.json()
-
-    @staticmethod
-    def invoke_rerank(server_url: str, query: str, docs: list[str], headers: Optional[dict] = None) -> list[dict]:
-        """
-        Invoke rerank endpoint
-
-        Example response:
-        [
-            {
-                "index": 0,
-                "text": "Deep Learning is ...",
-                "score": 0.9950755
-            }
-        ]
-
-        :param server_url: server url
-        :param texts: texts to rerank
-        :param candidates: candidates to rerank
-        """
-        params = {"query": query, "texts": docs, "return_text": True}
-        url = f"{server_url}/rerank"
-        response = httpx.post(url, json=params, headers=headers)
-        response.raise_for_status()
-        return response.json()
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/text_embedding/__init__.py b/api/core/model_runtime/model_providers/huggingface_tei/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/huggingface_tei/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/huggingface_tei/text_embedding/text_embedding.py
deleted file mode 100644
index a8a13313db..0000000000
--- a/api/core/model_runtime/model_providers/huggingface_tei/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,223 +0,0 @@
-import time
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.huggingface_tei.tei_helper import TeiHelper
-
-
-class HuggingfaceTeiTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Text Embedding Inference text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        credentials should be like:
-        {
-            'server_url': 'server url',
-            'model_uid': 'model uid',
-        }
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        server_url = credentials["server_url"]
-
-        server_url = server_url.removesuffix("/")
-
-        headers = {"Content-Type": "application/json"}
-        api_key = credentials["api_key"]
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        # get tokenized results from TEI
-        batched_tokenize_result = TeiHelper.invoke_tokenize(server_url, texts, headers)
-
-        for i, (text, tokenize_result) in enumerate(zip(texts, batched_tokenize_result)):
-            # Check if the number of tokens is larger than the context size
-            num_tokens = len(tokenize_result)
-
-            if num_tokens >= context_size:
-                # Find the best cutoff point
-                pre_special_token_count = 0
-                for token in tokenize_result:
-                    if token["special"]:
-                        pre_special_token_count += 1
-                    else:
-                        break
-                rest_special_token_count = (
-                    len([token for token in tokenize_result if token["special"]]) - pre_special_token_count
-                )
-
-                # Calculate the cutoff point, leave 20 extra space to avoid exceeding the limit
-                token_cutoff = context_size - rest_special_token_count - 20
-
-                # Find the cutoff index
-                cutpoint_token = tokenize_result[token_cutoff]
-                cutoff = cutpoint_token["start"]
-
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        try:
-            used_tokens = 0
-            for i in _iter:
-                iter_texts = inputs[i : i + max_chunks]
-                results = TeiHelper.invoke_embeddings(server_url, iter_texts, headers)
-                embeddings = results["data"]
-                embeddings = [embedding["embedding"] for embedding in embeddings]
-                batched_embeddings.extend(embeddings)
-
-                usage = results["usage"]
-                used_tokens += usage["total_tokens"]
-        except RuntimeError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        result = TextEmbeddingResult(model=model, embeddings=batched_embeddings, usage=usage)
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        server_url = credentials["server_url"]
-
-        server_url = server_url.removesuffix("/")
-
-        headers = {
-            "Authorization": f"Bearer {credentials.get('api_key')}",
-        }
-
-        batch_tokens = TeiHelper.invoke_tokenize(server_url, texts, headers)
-        num_tokens = sum(len(tokens) for tokens in batch_tokens)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            server_url = credentials["server_url"]
-            headers = {"Content-Type": "application/json"}
-
-            api_key = credentials.get("api_key")
-
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            extra_args = TeiHelper.get_tei_extra_parameter(server_url, model, headers)
-            if extra_args.model_type != "embedding":
-                raise CredentialsValidateFailedError("Current model is not a embedding model")
-
-            credentials["context_size"] = extra_args.max_input_length
-            credentials["max_chunks"] = extra_args.max_client_batch_size
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.MAX_CHUNKS: int(credentials.get("max_chunks", 1)),
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-            },
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/hunyuan/__init__.py b/api/core/model_runtime/model_providers/hunyuan/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/hunyuan/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/hunyuan/_assets/icon_l_en.png
deleted file mode 100644
index 1303055ef8d1ee2b7bd127fa55c8f28a47a2ca4f..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/model_runtime/model_providers/hunyuan/hunyuan.py b/api/core/model_runtime/model_providers/hunyuan/hunyuan.py
deleted file mode 100644
index e65772e7dd..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/hunyuan.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class HunyuanProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `hunyuan-standard` model for validate,
-            model_instance.validate_credentials(model="hunyuan-standard", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml b/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml
deleted file mode 100644
index e0d95a830c..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-provider: hunyuan
-label:
-  zh_Hans: 腾讯混元
-  en_US: Hunyuan
-description:
-  en_US: Models provided by Tencent Hunyuan, such as hunyuan-standard, hunyuan-standard-256k, hunyuan-pro, hunyuan-role, hunyuan-large, hunyuan-large-role, hunyuan-turbo-latest, hunyuan-large-longcontext, hunyuan-turbo, hunyuan-vision, hunyuan-turbo-vision, hunyuan-functioncall and hunyuan-lite.
-  zh_Hans: 腾讯混元提供的模型，例如 hunyuan-standard、 hunyuan-standard-256k, hunyuan-pro, hunyuan-role, hunyuan-large, hunyuan-large-role, hunyuan-turbo-latest, hunyuan-large-longcontext, hunyuan-turbo, hunyuan-vision, hunyuan-turbo-vision, hunyuan-functioncall 和 hunyuan-lite。
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#F6F7F7"
-help:
-  title:
-    en_US: Get your API Key from Tencent Hunyuan
-    zh_Hans: 从腾讯混元获取 API Key
-  url:
-    en_US: https://console.cloud.tencent.com/cam/capi
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: secret_id
-      label:
-        en_US: Secret ID
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 Secret ID
-        en_US: Enter your Secret ID
-    - variable: secret_key
-      label:
-        en_US: Secret Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 Secret Key
-        en_US: Enter your Secret Key
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py b/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml
deleted file mode 100644
index 6f589b3094..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-- hunyuan-lite
-- hunyuan-standard
-- hunyuan-standard-256k
-- hunyuan-pro
-- hunyuan-turbo
-- hunyuan-vision
-- hunyuan-role
-- hunyuan-large
-- hunyuan-large-role
-- hunyuan-large-longcontext
-- hunyuan-turbo-latest
-- hunyuan-turbo-vision
-- hunyuan-functioncall
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml
deleted file mode 100644
index eb8656917c..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-functioncall
-label:
-  zh_Hans: hunyuan-functioncall
-  en_US: hunyuan-functioncall
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.004'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml
deleted file mode 100644
index c39724a3a9..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-large-longcontext
-label:
-  zh_Hans: hunyuan-large-longcontext
-  en_US: hunyuan-large-longcontext
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 134000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 134000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.006'
-  output: '0.018'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml
deleted file mode 100644
index 1b40b35ed5..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-large-role
-label:
-  zh_Hans: hunyuan-large-role
-  en_US: hunyuan-large-role
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.004'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml
deleted file mode 100644
index 87dc104e11..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-large
-label:
-  zh_Hans: hunyuan-large
-  en_US: hunyuan-large
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml
deleted file mode 100644
index 4f5a5dfb48..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: hunyuan-lite
-label:
-  zh_Hans: hunyuan-lite
-  en_US: hunyuan-lite
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 256000
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml
deleted file mode 100644
index b173ffbe77..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-pro
-label:
-  zh_Hans: hunyuan-pro
-  en_US: hunyuan-pro
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.03'
-  output: '0.10'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml
deleted file mode 100644
index 0f6d2c5c44..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-role
-label:
-  zh_Hans: hunyuan-role
-  en_US: hunyuan-role
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.004'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml
deleted file mode 100644
index 8504b90eb3..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-standard-256K
-label:
-  zh_Hans: hunyuan-standard-256K
-  en_US: hunyuan-standard-256K
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 256000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.015'
-  output: '0.06'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml
deleted file mode 100644
index 1db25930fc..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-standard
-label:
-  zh_Hans: hunyuan-standard
-  en_US: hunyuan-standard
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.0045'
-  output: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml
deleted file mode 100644
index adfa3a4c1b..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-turbo-latest
-label:
-  zh_Hans: hunyuan-turbo-latest
-  en_US: hunyuan-turbo-latest
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.015'
-  output: '0.05'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml
deleted file mode 100644
index 5b9b17cc50..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: hunyuan-turbo-vision
-label:
-  zh_Hans: hunyuan-turbo-vision
-  en_US: hunyuan-turbo-vision
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.08'
-  output: '0.08'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml
deleted file mode 100644
index 4837fed4ba..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: hunyuan-turbo
-label:
-  zh_Hans: hunyuan-turbo
-  en_US: hunyuan-turbo
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.015'
-  output: '0.05'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml
deleted file mode 100644
index 9edc7f4710..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: hunyuan-vision
-label:
-  zh_Hans: hunyuan-vision
-  en_US: hunyuan-vision
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: enable_enhance
-    label:
-      zh_Hans: 功能增强
-      en_US: Enable Enhancement
-    type: boolean
-    help:
-      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
-      en_US: Allow the model to perform external search to enhance the generation results.
-    required: false
-    default: true
-pricing:
-  input: '0.018'
-  output: '0.018'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/llm.py b/api/core/model_runtime/model_providers/hunyuan/llm/llm.py
deleted file mode 100644
index 9b7686ded2..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/llm/llm.py
+++ /dev/null
@@ -1,349 +0,0 @@
-import json
-import logging
-from collections.abc import Generator
-from typing import cast
-
-from tencentcloud.common import credential  # type: ignore
-from tencentcloud.common.exception import TencentCloudSDKException  # type: ignore
-from tencentcloud.common.profile.client_profile import ClientProfile  # type: ignore
-from tencentcloud.common.profile.http_profile import HttpProfile  # type: ignore
-from tencentcloud.hunyuan.v20230901 import hunyuan_client, models  # type: ignore
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-
-class HunyuanLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        client = self._setup_hunyuan_client(credentials)
-        request = models.ChatCompletionsRequest()
-        messages_dict = self._convert_prompt_messages_to_dicts(prompt_messages)
-
-        custom_parameters = {
-            "Temperature": model_parameters.get("temperature", 0.0),
-            "TopP": model_parameters.get("top_p", 1.0),
-            "EnableEnhancement": model_parameters.get("enable_enhance", True),
-        }
-
-        params = {
-            "Model": model,
-            "Messages": messages_dict,
-            "Stream": stream,
-            "Stop": stop,
-            **custom_parameters,
-        }
-        # add Tools and ToolChoice
-        if tools and len(tools) > 0:
-            params["ToolChoice"] = "auto"
-            params["Tools"] = [
-                {
-                    "Type": "function",
-                    "Function": {
-                        "Name": tool.name,
-                        "Description": tool.description,
-                        "Parameters": json.dumps(tool.parameters),
-                    },
-                }
-                for tool in tools
-            ]
-
-        request.from_json_string(json.dumps(params))
-        response = client.ChatCompletions(request)
-
-        if stream:
-            return self._handle_stream_chat_response(model, credentials, prompt_messages, response)
-
-        return self._handle_chat_response(credentials, model, prompt_messages, response)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate credentials
-        """
-        try:
-            client = self._setup_hunyuan_client(credentials)
-
-            req = models.ChatCompletionsRequest()
-            params = {
-                "Model": model,
-                "Messages": [{"Role": "user", "Content": "hello"}],
-                "TopP": 1,
-                "Temperature": 0,
-                "Stream": False,
-            }
-            req.from_json_string(json.dumps(params))
-            client.ChatCompletions(req)
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    def _setup_hunyuan_client(self, credentials):
-        secret_id = credentials["secret_id"]
-        secret_key = credentials["secret_key"]
-        cred = credential.Credential(secret_id, secret_key)
-        httpProfile = HttpProfile()
-        httpProfile.endpoint = "hunyuan.tencentcloudapi.com"
-        clientProfile = ClientProfile()
-        clientProfile.httpProfile = httpProfile
-        client = hunyuan_client.HunyuanClient(cred, "", clientProfile)
-        return client
-
-    def _convert_prompt_messages_to_dicts(self, prompt_messages: list[PromptMessage]) -> list[dict]:
-        """Convert a list of PromptMessage objects to a list of dictionaries with 'Role' and 'Content' keys."""
-        dict_list = []
-        for message in prompt_messages:
-            if isinstance(message, AssistantPromptMessage):
-                tool_calls = message.tool_calls
-                if tool_calls and len(tool_calls) > 0:
-                    dict_tool_calls = [
-                        {
-                            "Id": tool_call.id,
-                            "Type": tool_call.type,
-                            "Function": {
-                                "Name": tool_call.function.name,
-                                "Arguments": tool_call.function.arguments
-                                if (tool_call.function.arguments == "")
-                                else "{}",
-                            },
-                        }
-                        for tool_call in tool_calls
-                    ]
-
-                    dict_list.append(
-                        {
-                            "Role": message.role.value,
-                            # fix set content = "" while tool_call request
-                            # fix [hunyuan] None, [TencentCloudSDKException] code:InvalidParameter
-                            # message:Messages Content and Contents not allowed empty at the same time.
-                            "Content": " ",  # message.content if (message.content is not None) else "",
-                            "ToolCalls": dict_tool_calls,
-                        }
-                    )
-                else:
-                    dict_list.append({"Role": message.role.value, "Content": message.content})
-            elif isinstance(message, ToolPromptMessage):
-                tool_execute_result = {"result": message.content}
-                content = json.dumps(tool_execute_result, ensure_ascii=False)
-                dict_list.append({"Role": message.role.value, "Content": content, "ToolCallId": message.tool_call_id})
-            elif isinstance(message, UserPromptMessage):
-                message = cast(UserPromptMessage, message)
-                if isinstance(message.content, str):
-                    dict_list.append({"Role": message.role.value, "Content": message.content})
-                else:
-                    sub_messages = []
-                    for message_content in message.content:
-                        if message_content.type == PromptMessageContentType.TEXT:
-                            message_content = cast(TextPromptMessageContent, message_content)
-                            sub_message_dict = {"Type": "text", "Text": message_content.data}
-                            sub_messages.append(sub_message_dict)
-                        elif message_content.type == PromptMessageContentType.IMAGE:
-                            message_content = cast(ImagePromptMessageContent, message_content)
-                            sub_message_dict = {
-                                "Type": "image_url",
-                                "ImageUrl": {"Url": message_content.data},
-                            }
-                            sub_messages.append(sub_message_dict)
-                    dict_list.append({"Role": message.role.value, "Contents": sub_messages})
-            else:
-                dict_list.append({"Role": message.role.value, "Content": message.content})
-        return dict_list
-
-    def _handle_stream_chat_response(self, model, credentials, prompt_messages, resp):
-        tool_call = None
-        tool_calls = []
-
-        for index, event in enumerate(resp):
-            logging.debug("_handle_stream_chat_response, event: %s", event)
-
-            data_str = event["data"]
-            data = json.loads(data_str)
-
-            choices = data.get("Choices", [])
-            if not choices:
-                continue
-            choice = choices[0]
-            delta = choice.get("Delta", {})
-            message_content = delta.get("Content", "")
-            finish_reason = choice.get("FinishReason", "")
-
-            usage = data.get("Usage", {})
-            prompt_tokens = usage.get("PromptTokens", 0)
-            completion_tokens = usage.get("CompletionTokens", 0)
-
-            response_tool_calls = delta.get("ToolCalls")
-            if response_tool_calls is not None:
-                new_tool_calls = self._extract_response_tool_calls(response_tool_calls)
-                if len(new_tool_calls) > 0:
-                    new_tool_call = new_tool_calls[0]
-                    if tool_call is None:
-                        tool_call = new_tool_call
-                    elif tool_call.id != new_tool_call.id:
-                        tool_calls.append(tool_call)
-                        tool_call = new_tool_call
-                    else:
-                        tool_call.function.name += new_tool_call.function.name
-                        tool_call.function.arguments += new_tool_call.function.arguments
-                if tool_call is not None and len(tool_call.function.name) > 0 and len(tool_call.function.arguments) > 0:
-                    tool_calls.append(tool_call)
-                    tool_call = None
-
-            assistant_prompt_message = AssistantPromptMessage(content=message_content, tool_calls=[])
-            # rewrite content = "" while tool_call to avoid show content on web page
-            if len(tool_calls) > 0:
-                assistant_prompt_message.content = ""
-
-            # add tool_calls to assistant_prompt_message
-            if finish_reason == "tool_calls":
-                assistant_prompt_message.tool_calls = tool_calls
-                tool_call = None
-                tool_calls = []
-
-            if len(finish_reason) > 0:
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                delta_chunk = LLMResultChunkDelta(
-                    index=index,
-                    role=delta.get("Role", "assistant"),
-                    message=assistant_prompt_message,
-                    usage=usage,
-                    finish_reason=finish_reason,
-                )
-                tool_call = None
-                tool_calls = []
-
-            else:
-                delta_chunk = LLMResultChunkDelta(
-                    index=index,
-                    message=assistant_prompt_message,
-                )
-
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=delta_chunk,
-            )
-
-    def _handle_chat_response(self, credentials, model, prompt_messages, response):
-        usage = self._calc_response_usage(
-            model, credentials, response.Usage.PromptTokens, response.Usage.CompletionTokens
-        )
-        assistant_prompt_message = AssistantPromptMessage()
-        assistant_prompt_message.content = response.Choices[0].Message.Content
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        if len(prompt_messages) == 0:
-            return 0
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Anthropic model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        tool_prompt = "\n\nTool:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, ToolPromptMessage):
-            message_text = f"{tool_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = content if isinstance(content, str) else ""
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeError: [TencentCloudSDKException],
-        }
-
-    def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                response_function = response_tool_call.get("Function", {})
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_function.get("Name", ""), arguments=response_function.get("Arguments", "")
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.get("Id", 0), type="function", function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/__init__.py b/api/core/model_runtime/model_providers/hunyuan/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml b/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml
deleted file mode 100644
index ab014e4344..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: hunyuan-embedding
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py
deleted file mode 100644
index 856cda90d3..0000000000
--- a/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,169 +0,0 @@
-import json
-import logging
-import time
-from typing import Optional
-
-from tencentcloud.common import credential  # type: ignore
-from tencentcloud.common.exception import TencentCloudSDKException  # type: ignore
-from tencentcloud.common.profile.client_profile import ClientProfile  # type: ignore
-from tencentcloud.common.profile.http_profile import HttpProfile  # type: ignore
-from tencentcloud.hunyuan.v20230901 import hunyuan_client, models  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-logger = logging.getLogger(__name__)
-
-
-class HunyuanTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Hunyuan text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        if model != "hunyuan-embedding":
-            raise ValueError("Invalid model name")
-
-        client = self._setup_hunyuan_client(credentials)
-
-        embeddings = []
-        token_usage = 0
-
-        for input in texts:
-            request = models.GetEmbeddingRequest()
-            params = {"Input": input}
-            request.from_json_string(json.dumps(params))
-            response = client.GetEmbedding(request)
-            usage = response.Usage.TotalTokens
-
-            embeddings.extend([data.Embedding for data in response.Data])
-            token_usage += usage
-
-        result = TextEmbeddingResult(
-            model=model,
-            embeddings=embeddings,
-            usage=self._calc_response_usage(model=model, credentials=credentials, tokens=token_usage),
-        )
-
-        return result
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate credentials
-        """
-        try:
-            client = self._setup_hunyuan_client(credentials)
-
-            req = models.ChatCompletionsRequest()
-            params = {
-                "Model": model,
-                "Messages": [{"Role": "user", "Content": "hello"}],
-                "TopP": 1,
-                "Temperature": 0,
-                "Stream": False,
-            }
-            req.from_json_string(json.dumps(params))
-            client.ChatCompletions(req)
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    def _setup_hunyuan_client(self, credentials):
-        secret_id = credentials["secret_id"]
-        secret_key = credentials["secret_key"]
-        cred = credential.Credential(secret_id, secret_key)
-        httpProfile = HttpProfile()
-        httpProfile.endpoint = "hunyuan.tencentcloudapi.com"
-        clientProfile = ClientProfile()
-        clientProfile.httpProfile = httpProfile
-        client = hunyuan_client.HunyuanClient(cred, "", clientProfile)
-        return client
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeError: [TencentCloudSDKException],
-        }
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        # client = self._setup_hunyuan_client(credentials)
-
-        num_tokens = 0
-        for text in texts:
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-            # use client.GetTokenCount to get num tokens
-            # request = models.GetTokenCountRequest()
-            # params = {
-            #     "Prompt": text
-            # }
-            # request.from_json_string(json.dumps(params))
-            # response = client.GetTokenCount(request)
-            # num_tokens += response.TokenCount
-
-        return num_tokens
diff --git a/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg
deleted file mode 100644
index 6a241fc9ae..0000000000
--- a/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<svg width="58" height="24" viewBox="0 0 58 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g clip-path="url(#clip0_13814_61529)">
-<path d="M4.47132 23.952C6.49932 23.952 8.14332 22.308 8.14332 20.28C8.14332 18.252 6.49932 16.608 4.47132 16.608C2.44332 16.608 0.799316 18.252 0.799316 20.28C0.799316 22.308 2.44332 23.952 4.47132 23.952Z" fill="#EB6161"/>
-<path fill-rule="evenodd" clip-rule="evenodd" d="M16.0387 8.71204C16.5187 8.71204 16.9027 9.09604 16.9027 9.57604L16.8547 16.608C16.8547 20.616 13.6387 23.88 9.63074 23.952H9.51074V16.632H9.53474L9.55874 9.60004C9.55874 9.12004 9.94274 8.73604 10.4227 8.73604H16.0387V8.71204ZM27.3187 8.71204C27.7987 8.71204 28.1827 9.09604 28.1827 9.57604V19.416C28.1827 19.896 27.7987 20.28 27.3187 20.28H21.7027C21.2227 20.28 20.8387 19.896 20.8387 19.416V9.57604C20.8387 9.09604 21.2227 8.71204 21.7027 8.71204H27.3187ZM36.1507 8.68804H36.2707C39.8707 8.73604 42.7987 11.64 42.8947 15.24V19.392C42.8947 19.872 42.5107 20.256 42.0307 20.256H32.9587C32.4787 20.256 32.0947 19.872 32.0947 19.392V9.55204C32.0947 9.07204 32.4787 8.68804 32.9587 8.68804H36.1507ZM51.0067 20.16C47.9827 19.968 45.5587 17.448 45.5587 14.376C45.5587 11.184 48.1507 8.59204 51.3427 8.59204C54.4147 8.59204 56.9347 10.992 57.1267 14.04V19.296C57.1267 19.776 56.7427 20.16 56.2627 20.16H51.0067Z" fill="#009191"/>
-<path d="M24.4987 7.344C26.5267 7.344 28.1707 5.7 28.1707 3.672C28.1707 1.644 26.5267 0 24.4987 0C22.4707 0 20.8267 1.644 20.8267 3.672C20.8267 5.7 22.4707 7.344 24.4987 7.344Z" fill="#FBCB67"/>
-</g>
-<defs>
-<clipPath id="clip0_13814_61529">
-<rect width="56.4" height="24" fill="white" transform="translate(0.800781)"/>
-</clipPath>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg
deleted file mode 100644
index 2e1b00fa52..0000000000
--- a/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M6.56053 21.4486C9.07925 21.4486 11.1211 19.4068 11.1211 16.8882C11.1211 14.3696 9.07925 12.3279 6.56053 12.3279C4.04182 12.3279 2 14.3696 2 16.8882C2 19.4068 4.04182 21.4486 6.56053 21.4486Z" fill="#EB6161"/>
-<path d="M22.0002 3.59467L21.9406 12.3279C21.9406 17.3055 17.9464 21.3591 12.9685 21.4485L12.8789 12.3577L12.8791 3.62447C12.8791 3.02835 13.356 2.55145 13.9522 2.55145H20.9271C21.5233 2.55145 22.0002 2.99854 22.0002 3.59467Z" fill="#009191"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/jina/jina.py b/api/core/model_runtime/model_providers/jina/jina.py
deleted file mode 100644
index 186a0a0fa7..0000000000
--- a/api/core/model_runtime/model_providers/jina/jina.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class JinaProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING)
-
-            # Use `jina-embeddings-v3` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="jina-embeddings-v3", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/jina/jina.yaml b/api/core/model_runtime/model_providers/jina/jina.yaml
deleted file mode 100644
index 970b22965b..0000000000
--- a/api/core/model_runtime/model_providers/jina/jina.yaml
+++ /dev/null
@@ -1,69 +0,0 @@
-provider: jina
-label:
-  en_US: Jina AI
-description:
-  en_US: Embedding and Rerank Model Supported
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#EFFDFD"
-help:
-  title:
-    en_US: Get your API key from Jina AI
-    zh_Hans: 从 Jina AI 获取 API Key
-  url:
-    en_US: https://jina.ai/
-supported_model_types:
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
-      label:
-        zh_Hans: 服务器 URL
-        en_US: Base URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: Base URL, e.g. https://api.jina.ai/v1
-        en_US: Base URL, e.g. https://api.jina.ai/v1
-      default: 'https://api.jina.ai/v1'
-    - variable: context_size
-      label:
-        zh_Hans: 上下文大小
-        en_US: Context size
-      placeholder:
-        zh_Hans: 输入上下文大小
-        en_US: Enter context size
-      required: false
-      type: text-input
-      default: '8192'
diff --git a/api/core/model_runtime/model_providers/jina/rerank/__init__.py b/api/core/model_runtime/model_providers/jina/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/jina/rerank/_position.yaml b/api/core/model_runtime/model_providers/jina/rerank/_position.yaml
deleted file mode 100644
index c9ddaad758..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/_position.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-- jina-reranker-v2-base-multilingual
-- jina-reranker-v1-base-en
-- jina-reranker-v1-turbo-en
-- jina-colbert-v1-en
-- jina-reranker-v1-tiny-en
diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml
deleted file mode 100644
index 320370f242..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: jina-colbert-v1-en
-model_type: rerank
-model_properties:
-  context_size: 8192
diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml
deleted file mode 100644
index bd3f31fbd1..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: jina-reranker-v1-base-en
-model_type: rerank
-model_properties:
-  context_size: 8192
diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml
deleted file mode 100644
index b81711195b..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: jina-reranker-v1-tiny-en
-model_type: rerank
-model_properties:
-  context_size: 8192
diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml
deleted file mode 100644
index d05f4bb4a2..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: jina-reranker-v1-turbo-en
-model_type: rerank
-model_properties:
-  context_size: 8192
diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml
deleted file mode 100644
index e6af62107e..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: jina-reranker-v2-base-multilingual
-model_type: rerank
-model_properties:
-  context_size: 1024
diff --git a/api/core/model_runtime/model_providers/jina/rerank/rerank.py b/api/core/model_runtime/model_providers/jina/rerank/rerank.py
deleted file mode 100644
index 22f882be6b..0000000000
--- a/api/core/model_runtime/model_providers/jina/rerank/rerank.py
+++ /dev/null
@@ -1,134 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class JinaRerankModel(RerankModel):
-    """
-    Model class for Jina rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        base_url = credentials.get("base_url", "https://api.jina.ai/v1")
-        base_url = base_url.removesuffix("/")
-
-        try:
-            response = httpx.post(
-                base_url + "/rerank",
-                json={"model": model, "query": query, "documents": docs, "top_n": top_n},
-                headers={"Authorization": f"Bearer {credentials.get('api_key')}"},
-                timeout=20,
-            )
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["results"]:
-                index = result["index"]
-                if "document" in result:
-                    text = result["document"]["text"]
-                else:
-                    # llama.cpp rerank maynot return original documents
-                    text = docs[index]
-
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=text,
-                    score=result["relevance_score"],
-                )
-
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml
deleted file mode 100644
index c06bfd7ebe..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-clip-v1
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml
deleted file mode 100644
index 09f7023acb..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-embeddings-v2-base-de
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml
deleted file mode 100644
index a9b2cd4efb..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-embeddings-v2-base-en
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml
deleted file mode 100644
index 2a66b4729b..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-embeddings-v2-base-zh
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml
deleted file mode 100644
index c92779d499..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-embeddings-v2-small-en
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml
deleted file mode 100644
index 4e5374dc9d..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: jina-embeddings-v3
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 2048
-pricing:
-  input: '0.001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py b/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py
deleted file mode 100644
index 1fc0f8c028..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from os.path import abspath, dirname, join
-from threading import Lock
-
-from transformers import AutoTokenizer  # type: ignore
-
-
-class JinaTokenizer:
-    _tokenizer: AutoTokenizer | None = None
-    _lock = Lock()
-
-    @classmethod
-    def _get_tokenizer(cls):
-        if cls._tokenizer is None:
-            with cls._lock:
-                if cls._tokenizer is None:
-                    base_path = abspath(__file__)
-                    gpt2_tokenizer_path = join(dirname(base_path), "tokenizer")
-                    cls._tokenizer = AutoTokenizer.from_pretrained(gpt2_tokenizer_path)
-        return cls._tokenizer
-
-    @classmethod
-    def _get_num_tokens_by_jina_base(cls, text: str) -> int:
-        """
-        use jina tokenizer to get num tokens
-        """
-        tokenizer = cls._get_tokenizer()
-        tokens = tokenizer.encode(text)
-        return len(tokens)
-
-    @classmethod
-    def get_num_tokens(cls, text: str) -> int:
-        return cls._get_num_tokens_by_jina_base(text)
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py
deleted file mode 100644
index f5be7a9828..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,199 +0,0 @@
-import time
-from json import JSONDecodeError, dumps
-from typing import Optional
-
-from requests import post
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.jina.text_embedding.jina_tokenizer import JinaTokenizer
-
-
-class JinaTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Jina text embedding model.
-    """
-
-    api_base: str = "https://api.jina.ai/v1"
-
-    def _to_payload(self, model: str, texts: list[str], credentials: dict, input_type: EmbeddingInputType) -> dict:
-        """
-        Parse model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return: parsed credentials
-        """
-
-        def transform_jina_input_text(model, text):
-            if model == "jina-clip-v1":
-                return {"text": text}
-            return text
-
-        data = {"model": model, "input": [transform_jina_input_text(model, text) for text in texts]}
-
-        # model specific parameters
-        if model == "jina-embeddings-v3":
-            # set `task` type according to input type for the best performance
-            data["task"] = "retrieval.query" if input_type == EmbeddingInputType.QUERY else "retrieval.passage"
-
-        return data
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["api_key"]
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-
-        base_url = credentials.get("base_url", self.api_base)
-        base_url = base_url.removesuffix("/")
-
-        url = base_url + "/embeddings"
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        data = self._to_payload(model=model, texts=texts, credentials=credentials, input_type=input_type)
-
-        try:
-            response = post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                msg = resp["detail"]
-                if response.status_code == 401:
-                    raise InvokeAuthorizationError(msg)
-                elif response.status_code == 429:
-                    raise InvokeRateLimitError(msg)
-                elif response.status_code == 500:
-                    raise InvokeServerUnavailableError(msg)
-                else:
-                    raise InvokeBadRequestError(msg)
-            except JSONDecodeError as e:
-                raise InvokeServerUnavailableError(
-                    f"Failed to convert response to json: {e} with text: {response.text}"
-                )
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use JinaTokenizer to get num tokens
-            num_tokens += JinaTokenizer.get_num_tokens(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError, InvokeBadRequestError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json b/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json
deleted file mode 100644
index 65f2b2bc19..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json
+++ /dev/null
@@ -1,30678 +0,0 @@
-{
-  "version": "1.0",
-  "truncation": null,
-  "padding": null,
-  "added_tokens": [
-    {
-      "id": 0,
-      "content": "[PAD]",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 100,
-      "content": "[UNK]",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 101,
-      "content": "[CLS]",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 102,
-      "content": "[SEP]",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 103,
-      "content": "[MASK]",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    }
-  ],
-  "normalizer": {
-    "type": "BertNormalizer",
-    "clean_text": true,
-    "handle_chinese_chars": true,
-    "strip_accents": null,
-    "lowercase": true
-  },
-  "pre_tokenizer": {
-    "type": "BertPreTokenizer"
-  },
-  "post_processor": {
-    "type": "TemplateProcessing",
-    "single": [
-      {
-        "SpecialToken": {
-          "id": "[CLS]",
-          "type_id": 0
-        }
-      },
-      {
-        "Sequence": {
-          "id": "A",
-          "type_id": 0
-        }
-      },
-      {
-        "SpecialToken": {
-          "id": "[SEP]",
-          "type_id": 0
-        }
-      }
-    ],
-    "pair": [
-      {
-        "SpecialToken": {
-          "id": "[CLS]",
-          "type_id": 0
-        }
-      },
-      {
-        "Sequence": {
-          "id": "A",
-          "type_id": 0
-        }
-      },
-      {
-        "SpecialToken": {
-          "id": "[SEP]",
-          "type_id": 0
-        }
-      },
-      {
-        "Sequence": {
-          "id": "B",
-          "type_id": 1
-        }
-      },
-      {
-        "SpecialToken": {
-          "id": "[SEP]",
-          "type_id": 1
-        }
-      }
-    ],
-    "special_tokens": {
-      "[CLS]": {
-        "id": "[CLS]",
-        "ids": [
-          101
-        ],
-        "tokens": [
-          "[CLS]"
-        ]
-      },
-      "[SEP]": {
-        "id": "[SEP]",
-        "ids": [
-          102
-        ],
-        "tokens": [
-          "[SEP]"
-        ]
-      }
-    }
-  },
-  "decoder": {
-    "type": "WordPiece",
-    "prefix": "##",
-    "cleanup": true
-  },
-  "model": {
-    "type": "WordPiece",
-    "unk_token": "[UNK]",
-    "continuing_subword_prefix": "##",
-    "max_input_chars_per_word": 100,
-    "vocab": {
-      "[PAD]": 0,
-      "[unused0]": 1,
-      "[unused1]": 2,
-      "[unused2]": 3,
-      "[unused3]": 4,
-      "[unused4]": 5,
-      "[unused5]": 6,
-      "[unused6]": 7,
-      "[unused7]": 8,
-      "[unused8]": 9,
-      "[unused9]": 10,
-      "[unused10]": 11,
-      "[unused11]": 12,
-      "[unused12]": 13,
-      "[unused13]": 14,
-      "[unused14]": 15,
-      "[unused15]": 16,
-      "[unused16]": 17,
-      "[unused17]": 18,
-      "[unused18]": 19,
-      "[unused19]": 20,
-      "[unused20]": 21,
-      "[unused21]": 22,
-      "[unused22]": 23,
-      "[unused23]": 24,
-      "[unused24]": 25,
-      "[unused25]": 26,
-      "[unused26]": 27,
-      "[unused27]": 28,
-      "[unused28]": 29,
-      "[unused29]": 30,
-      "[unused30]": 31,
-      "[unused31]": 32,
-      "[unused32]": 33,
-      "[unused33]": 34,
-      "[unused34]": 35,
-      "[unused35]": 36,
-      "[unused36]": 37,
-      "[unused37]": 38,
-      "[unused38]": 39,
-      "[unused39]": 40,
-      "[unused40]": 41,
-      "[unused41]": 42,
-      "[unused42]": 43,
-      "[unused43]": 44,
-      "[unused44]": 45,
-      "[unused45]": 46,
-      "[unused46]": 47,
-      "[unused47]": 48,
-      "[unused48]": 49,
-      "[unused49]": 50,
-      "[unused50]": 51,
-      "[unused51]": 52,
-      "[unused52]": 53,
-      "[unused53]": 54,
-      "[unused54]": 55,
-      "[unused55]": 56,
-      "[unused56]": 57,
-      "[unused57]": 58,
-      "[unused58]": 59,
-      "[unused59]": 60,
-      "[unused60]": 61,
-      "[unused61]": 62,
-      "[unused62]": 63,
-      "[unused63]": 64,
-      "[unused64]": 65,
-      "[unused65]": 66,
-      "[unused66]": 67,
-      "[unused67]": 68,
-      "[unused68]": 69,
-      "[unused69]": 70,
-      "[unused70]": 71,
-      "[unused71]": 72,
-      "[unused72]": 73,
-      "[unused73]": 74,
-      "[unused74]": 75,
-      "[unused75]": 76,
-      "[unused76]": 77,
-      "[unused77]": 78,
-      "[unused78]": 79,
-      "[unused79]": 80,
-      "[unused80]": 81,
-      "[unused81]": 82,
-      "[unused82]": 83,
-      "[unused83]": 84,
-      "[unused84]": 85,
-      "[unused85]": 86,
-      "[unused86]": 87,
-      "[unused87]": 88,
-      "[unused88]": 89,
-      "[unused89]": 90,
-      "[unused90]": 91,
-      "[unused91]": 92,
-      "[unused92]": 93,
-      "[unused93]": 94,
-      "[unused94]": 95,
-      "[unused95]": 96,
-      "[unused96]": 97,
-      "[unused97]": 98,
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\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer_config.json b/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer_config.json
deleted file mode 100644
index 91f9e357cc..0000000000
--- a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer_config.json
+++ /dev/null
@@ -1,15 +0,0 @@
-{
-  "clean_up_tokenization_spaces": true,
-  "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
-  "do_lower_case": true,
-  "mask_token": "[MASK]",
-  "model_max_length": 2147483648,
-  "never_split": null,
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}
diff --git a/api/core/model_runtime/model_providers/leptonai/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/leptonai/_assets/icon_l_en.png
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/leptonai/leptonai.py b/api/core/model_runtime/model_providers/leptonai/leptonai.py
deleted file mode 100644
index 34a55ff192..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/leptonai.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class LeptonAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="llama2-7b", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/leptonai/leptonai.yaml b/api/core/model_runtime/model_providers/leptonai/leptonai.yaml
deleted file mode 100644
index a246ff5356..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/leptonai.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-provider: leptonai
-label:
-  zh_Hans: Lepton AI
-  en_US: Lepton AI
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#F5F5F4"
-help:
-  title:
-    en_US: Get your API Key from Lepton AI
-    zh_Hans: 从 Lepton AI 获取 API Key
-  url:
-    en_US: https://dashboard.lepton.ai
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml b/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml
deleted file mode 100644
index a85e8e65ba..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-- gemma-7b
-- mistral-7b
-- mixtral-8x7b
-- llama2-7b
-- llama2-13b
-- llama3-70b
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml
deleted file mode 100644
index 2d69067a23..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: gemma-7b
-label:
-  zh_Hans: gemma-7b
-  en_US: gemma-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml
deleted file mode 100644
index 307f1ea88f..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: llama2-13b
-label:
-  zh_Hans: llama2-13b
-  en_US: llama2-13b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml
deleted file mode 100644
index bd471e59cd..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: llama2-7b
-label:
-  zh_Hans: llama2-7b
-  en_US: llama2-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml
deleted file mode 100644
index 9c20eb6cdb..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: llama3-70b
-label:
-  zh_Hans: llama3-70b
-  en_US: llama3-70b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llm.py b/api/core/model_runtime/model_providers/leptonai/llm/llm.py
deleted file mode 100644
index 3d69417e45..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/llm.py
+++ /dev/null
@@ -1,40 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class LeptonAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    MODEL_PREFIX_MAP = {
-        "llama2-7b": "llama2-7b",
-        "gemma-7b": "gemma-7b",
-        "mistral-7b": "mistral-7b",
-        "mixtral-8x7b": "mixtral-8x7b",
-        "llama3-70b": "llama3-70b",
-        "llama2-13b": "llama2-13b",
-    }
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials, model)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials, model)
-        super().validate_credentials(model, credentials)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict, model: str) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = f"https://{cls.MODEL_PREFIX_MAP[model]}.lepton.run/api/v1"
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml
deleted file mode 100644
index f2b46ff917..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: mistral-7b
-label:
-  zh_Hans: mistral-7b
-  en_US: mistral-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml
deleted file mode 100644
index de788ac256..0000000000
--- a/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-model: mixtral-8x7b
-label:
-  zh_Hans: mixtral-8x7b
-  en_US: mixtral-8x7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/localai/__init__.py b/api/core/model_runtime/model_providers/localai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg
deleted file mode 100644
index 251a37fdc7..0000000000
--- a/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,22 +0,0 @@
-<svg width="90" height="24" viewBox="0 0 90 24" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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"/>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/localai/llm/__init__.py b/api/core/model_runtime/model_providers/localai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/localai/llm/llm.py b/api/core/model_runtime/model_providers/localai/llm/llm.py
deleted file mode 100644
index 756c5571d4..0000000000
--- a/api/core/model_runtime/model_providers/localai/llm/llm.py
+++ /dev/null
@@ -1,674 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, cast
-
-from httpx import Timeout
-from openai import (
-    APIConnectionError,
-    APITimeoutError,
-    AuthenticationError,
-    ConflictError,
-    InternalServerError,
-    NotFoundError,
-    OpenAI,
-    PermissionDeniedError,
-    RateLimitError,
-    Stream,
-    UnprocessableEntityError,
-)
-from openai.types.chat import ChatCompletion, ChatCompletionChunk
-from openai.types.chat.chat_completion_message import FunctionCall
-from openai.types.completion import Completion
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.utils import helper
-
-
-class LocalAILanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        # tools is not supported yet
-        return self._num_tokens_from_messages(prompt_messages, tools=tools)
-
-    def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for baichuan model
-        LocalAI does not supports
-        """
-
-        def tokens(text: str):
-            """
-            We could not determine which tokenizer to use, cause the model is customized.
-            So we use gpt2 tokenizer to calculate the num tokens for convenience.
-            """
-            return self._get_num_tokens_by_gpt2(text)
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += tokens(t_key)
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += tokens(f_key)
-                                    num_tokens += tokens(f_value)
-                            else:
-                                num_tokens += tokens(t_key)
-                                num_tokens += tokens(t_value)
-                if key == "function_call":
-                    for t_key, t_value in value.items():
-                        num_tokens += tokens(t_key)
-                        if t_key == "function":
-                            for f_key, f_value in t_value.items():
-                                num_tokens += tokens(f_key)
-                                num_tokens += tokens(f_value)
-                        else:
-                            num_tokens += tokens(t_key)
-                            num_tokens += tokens(t_value)
-                else:
-                    num_tokens += tokens(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling
-
-        :param encoding: encoding
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        num_tokens = 0
-        for tool in tools:
-            # calculate num tokens for function object
-            num_tokens += tokens("name")
-            num_tokens += tokens(tool.name)
-            num_tokens += tokens("description")
-            num_tokens += tokens(tool.description)
-            parameters = tool.parameters
-            num_tokens += tokens("parameters")
-            num_tokens += tokens("type")
-            num_tokens += tokens(parameters.get("type"))
-            if "properties" in parameters:
-                num_tokens += tokens("properties")
-                for key, value in parameters.get("properties").items():
-                    num_tokens += tokens(key)
-                    for field_key, field_value in value.items():
-                        num_tokens += tokens(field_key)
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += tokens(enum_field)
-                        else:
-                            num_tokens += tokens(field_key)
-                            num_tokens += tokens(str(field_value))
-            if "required" in parameters:
-                num_tokens += tokens("required")
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += tokens(required_field)
-
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[UserPromptMessage(content="ping")],
-                model_parameters={
-                    "max_tokens": 10,
-                },
-                stop=[],
-                stream=False,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(f"Invalid credentials {str(ex)}")
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        completion_model = None
-        if credentials["completion_type"] == "chat_completion":
-            completion_model = LLMMode.CHAT.value
-        elif credentials["completion_type"] == "completion":
-            completion_model = LLMMode.COMPLETION.value
-        else:
-            raise ValueError(f"Unknown completion type {credentials['completion_type']}")
-
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                max=2048,
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
-
-        model_properties = (
-            {
-                ModelPropertyKey.MODE: completion_model,
-            }
-            if completion_model
-            else {}
-        )
-
-        model_properties[ModelPropertyKey.CONTEXT_SIZE] = int(credentials.get("context_size", "2048"))
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties=model_properties,
-            parameter_rules=rules,
-        )
-
-        return entity
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        kwargs = self._to_client_kwargs(credentials)
-        # init model client
-        client = OpenAI(**kwargs)
-
-        model_name = model
-        completion_type = credentials["completion_type"]
-
-        extra_model_kwargs = {
-            "timeout": 60,
-        }
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        if tools and len(tools) > 0:
-            extra_model_kwargs["functions"] = [helper.dump_model(tool) for tool in tools]
-
-        if completion_type == "chat_completion":
-            result = client.chat.completions.create(
-                messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
-                model=model_name,
-                stream=stream,
-                **model_parameters,
-                **extra_model_kwargs,
-            )
-        elif completion_type == "completion":
-            result = client.completions.create(
-                prompt=self._convert_prompt_message_to_completion_prompts(prompt_messages),
-                model=model,
-                stream=stream,
-                **model_parameters,
-                **extra_model_kwargs,
-            )
-        else:
-            raise ValueError(f"Unknown completion type {completion_type}")
-
-        if stream:
-            if completion_type == "completion":
-                return self._handle_completion_generate_stream_response(
-                    model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages
-                )
-            return self._handle_chat_generate_stream_response(
-                model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages
-            )
-
-        if completion_type == "completion":
-            return self._handle_completion_generate_response(
-                model=model, credentials=credentials, response=result, prompt_messages=prompt_messages
-            )
-        return self._handle_chat_generate_response(
-            model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages
-        )
-
-    def _to_client_kwargs(self, credentials: dict) -> dict:
-        """
-        Convert invoke kwargs to client kwargs
-
-        :param credentials: credentials dict
-        :return: client kwargs
-        """
-        if not credentials["server_url"].endswith("/"):
-            credentials["server_url"] += "/"
-
-        client_kwargs = {
-            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
-            "api_key": "1",
-            "base_url": str(URL(credentials["server_url"]) / "v1"),
-        }
-
-        return client_kwargs
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI Compatibility API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                raise ValueError("User message content must be str")
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls and len(message.tool_calls) > 0:
-                message_dict["function_call"] = {
-                    "name": message.tool_calls[0].function.name,
-                    "arguments": message.tool_calls[0].function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            # copy from core/model_runtime/model_providers/anthropic/llm/llm.py
-            message = cast(ToolPromptMessage, message)
-            message_dict = {
-                "role": "user",
-                "content": [{"type": "tool_result", "tool_use_id": message.tool_call_id, "content": message.content}],
-            }
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def _convert_prompt_message_to_completion_prompts(self, messages: list[PromptMessage]) -> str:
-        """
-        Convert PromptMessage to completion prompts
-        """
-        prompts = ""
-        for message in messages:
-            if isinstance(message, UserPromptMessage):
-                message = cast(UserPromptMessage, message)
-                prompts += f"{message.content}\n"
-            elif isinstance(message, AssistantPromptMessage):
-                message = cast(AssistantPromptMessage, message)
-                prompts += f"{message.content}\n"
-            elif isinstance(message, SystemPromptMessage):
-                message = cast(SystemPromptMessage, message)
-                prompts += f"{message.content}\n"
-            else:
-                raise ValueError(f"Unknown message type {type(message)}")
-
-        return prompts
-
-    def _handle_completion_generate_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Completion,
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        if len(response.choices) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-
-        assistant_message = response.choices[0].text
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message, tool_calls=[])
-
-        prompt_tokens = self._get_num_tokens_by_gpt2(
-            self._convert_prompt_message_to_completion_prompts(prompt_messages)
-        )
-        completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=[])
-
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=response.system_fingerprint,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: ChatCompletion,
-        tools: list[PromptMessageTool],
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        if len(response.choices) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-
-        assistant_message = response.choices[0].message
-
-        # convert function call to tool call
-        function_calls = assistant_message.function_call
-        tool_calls = self._extract_response_tool_calls([function_calls] if function_calls else [])
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-        completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools)
-
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=response.system_fingerprint,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _handle_completion_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Stream[Completion],
-        tools: list[PromptMessageTool],
-    ) -> Generator:
-        full_response = ""
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.text or "", tool_calls=[])
-
-            if delta.finish_reason is not None:
-                # temp_assistant_prompt_message is used to calculate usage
-                temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[])
-
-                prompt_tokens = self._get_num_tokens_by_gpt2(
-                    self._convert_prompt_message_to_completion_prompts(prompt_messages)
-                )
-
-                completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[])
-
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens,
-                )
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                full_response += delta.text
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        tools: list[PromptMessageTool],
-    ) -> Generator:
-        full_response = ""
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
-                continue
-
-            # check if there is a tool call in the response
-            function_calls = None
-            if delta.delta.function_call:
-                function_calls = [delta.delta.function_call]
-
-            assistant_message_tool_calls = self._extract_response_tool_calls(function_calls or [])
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(
-                content=delta.delta.content or "", tool_calls=assistant_message_tool_calls
-            )
-
-            if delta.finish_reason is not None:
-                # temp_assistant_prompt_message is used to calculate usage
-                temp_assistant_prompt_message = AssistantPromptMessage(
-                    content=full_response, tool_calls=assistant_message_tool_calls
-                )
-
-                prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-                completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[])
-
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens,
-                )
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                full_response += delta.delta.content
-
-    def _extract_response_tool_calls(
-        self, response_function_calls: list[FunctionCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_function_calls:
-            for response_tool_call in response_function_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.name, arguments=response_tool_call.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(id=0, type="function", function=function)
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                APIConnectionError,
-                APITimeoutError,
-            ],
-            InvokeServerUnavailableError: [
-                InternalServerError,
-                ConflictError,
-                NotFoundError,
-                UnprocessableEntityError,
-                PermissionDeniedError,
-            ],
-            InvokeRateLimitError: [RateLimitError],
-            InvokeAuthorizationError: [AuthenticationError],
-            InvokeBadRequestError: [ValueError],
-        }
diff --git a/api/core/model_runtime/model_providers/localai/localai.py b/api/core/model_runtime/model_providers/localai/localai.py
deleted file mode 100644
index 4ff898052b..0000000000
--- a/api/core/model_runtime/model_providers/localai/localai.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class LocalAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/localai/localai.yaml b/api/core/model_runtime/model_providers/localai/localai.yaml
deleted file mode 100644
index 864dd7a30c..0000000000
--- a/api/core/model_runtime/model_providers/localai/localai.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-provider: localai
-label:
-  en_US: LocalAI
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#F3F4F6"
-help:
-  title:
-    en_US: How to deploy LocalAI
-    zh_Hans: 如何部署 LocalAI
-  url:
-    en_US: https://github.com/go-skynet/LocalAI
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: completion_type
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion type
-      type: select
-      required: false
-      default: chat_completion
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion type
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat_completion
-          label:
-            en_US: ChatCompletion
-            zh_Hans: 对话
-    - variable: server_url
-      label:
-        zh_Hans: 服务器URL
-        en_US: Server url
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入LocalAI的服务器地址，如 http://192.168.1.100:8080
-        en_US: Enter the url of your LocalAI, e.g. http://192.168.1.100:8080
-    - variable: context_size
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: 上下文大小
-        en_US: Context size
-      placeholder:
-        zh_Hans: 输入上下文大小
-        en_US: Enter context size
-      required: false
-      type: text-input
diff --git a/api/core/model_runtime/model_providers/localai/rerank/__init__.py b/api/core/model_runtime/model_providers/localai/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/localai/rerank/rerank.py b/api/core/model_runtime/model_providers/localai/rerank/rerank.py
deleted file mode 100644
index 075b44658d..0000000000
--- a/api/core/model_runtime/model_providers/localai/rerank/rerank.py
+++ /dev/null
@@ -1,142 +0,0 @@
-from json import dumps
-from typing import Optional
-
-import httpx
-from requests import post
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class LocalaiRerankModel(RerankModel):
-    """
-    LocalAI rerank model API is compatible with Jina rerank model API. So just copy the JinaRerankModel class code here.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        server_url = credentials["server_url"]
-        model_name = model
-
-        if not server_url:
-            raise CredentialsValidateFailedError("server_url is required")
-        if not model_name:
-            raise CredentialsValidateFailedError("model_name is required")
-
-        url = server_url
-        headers = {"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"}
-
-        data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n}
-
-        try:
-            response = post(str(URL(url) / "rerank"), headers=headers, data=dumps(data), timeout=10)
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["results"]:
-                index = result["index"]
-                if "document" in result:
-                    text = result["document"]["text"]
-                else:
-                    # llama.cpp rerank maynot return original documents
-                    text = docs[index]
-
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=text,
-                    score=result["relevance_score"],
-                )
-
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/localai/speech2text/__init__.py b/api/core/model_runtime/model_providers/localai/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py
deleted file mode 100644
index 260a35d9d4..0000000000
--- a/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py
+++ /dev/null
@@ -1,89 +0,0 @@
-from typing import IO, Optional
-
-from requests import Request, Session
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-
-
-class LocalAISpeech2text(Speech2TextModel):
-    """
-    Model class for Local AI Text to speech model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-
-        url = str(URL(credentials["server_url"]) / "v1/audio/transcriptions")
-        data = {"model": model}
-        files = {"file": file}
-
-        session = Session()
-        request = Request("POST", url, data=data, files=files)
-        prepared_request = session.prepare_request(request)
-        response = session.send(prepared_request)
-
-        if "error" in response.json():
-            raise InvokeServerUnavailableError("Empty response")
-
-        return response.json()["text"]
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/localai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/localai/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py
deleted file mode 100644
index 0111c3362a..0000000000
--- a/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,189 +0,0 @@
-import time
-from json import JSONDecodeError, dumps
-from typing import Optional
-
-from requests import post
-from yarl import URL
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class LocalAITextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for LocalAI text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        if len(texts) != 1:
-            raise InvokeBadRequestError("Only one text is supported")
-
-        server_url = credentials["server_url"]
-        model_name = model
-        if not server_url:
-            raise CredentialsValidateFailedError("server_url is required")
-        if not model_name:
-            raise CredentialsValidateFailedError("model_name is required")
-
-        url = server_url
-        headers = {"Authorization": "Bearer 123", "Content-Type": "application/json"}
-
-        data = {"model": model_name, "input": texts[0]}
-
-        try:
-            response = post(str(URL(url) / "embeddings"), headers=headers, data=dumps(data), timeout=10)
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                code = resp["error"]["code"]
-                msg = resp["error"]["message"]
-                if code == 500:
-                    raise InvokeServerUnavailableError(msg)
-
-                if response.status_code == 401:
-                    raise InvokeAuthorizationError(msg)
-                elif response.status_code == 429:
-                    raise InvokeRateLimitError(msg)
-                elif response.status_code == 500:
-                    raise InvokeServerUnavailableError(msg)
-                else:
-                    raise InvokeError(msg)
-            except JSONDecodeError as e:
-                raise InvokeServerUnavailableError(
-                    f"Failed to convert response to json: {e} with text: {response.text}"
-                )
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use GPT2Tokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def _get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        Get customizable model schema
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: model schema
-        """
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(zh_Hans=model, en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            features=[],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512")),
-                ModelPropertyKey.MAX_CHUNKS: 1,
-            },
-            parameter_rules=[],
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvokeAuthorizationError:
-            raise CredentialsValidateFailedError("Invalid credentials")
-        except InvokeConnectionError as e:
-            raise CredentialsValidateFailedError(f"Invalid credentials: {e}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/minimax/__init__.py b/api/core/model_runtime/model_providers/minimax/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/minimax/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/minimax/_assets/icon_l_en.png
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/minimax/llm/__init__.py b/api/core/model_runtime/model_providers/minimax/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml
deleted file mode 100644
index 2c1f79e2b7..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: abab5-chat
-label:
-  en_US: Abab5-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 6144
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 6144
-    min: 1
-    max: 6144
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.015'
-  output: '0.015'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml
deleted file mode 100644
index 6d29be0d0e..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: abab5.5-chat
-label:
-  en_US: Abab5.5-Chat
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.9
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 6144
-    min: 1
-    max: 16384
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: plugin_web_search
-    required: false
-    default: false
-    type: boolean
-    label:
-      en_US: Enable Web Search
-      zh_Hans: 开启网页搜索
-pricing:
-  input: '0.015'
-  output: '0.015'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml
deleted file mode 100644
index aa42bb5739..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: abab5.5s-chat
-label:
-  en_US: Abab5.5s-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.9
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 3072
-    min: 1
-    max: 8192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.005'
-  output: '0.005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml
deleted file mode 100644
index 9188b6b53f..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: abab6-chat
-label:
-  en_US: Abab6-Chat
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.1
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.9
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 32768
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml
deleted file mode 100644
index 5d717d5f8c..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: abab6.5-chat
-label:
-  en_US: Abab6.5-Chat
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.1
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 8192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.03'
-  output: '0.03'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml
deleted file mode 100644
index 4631fe67e4..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: abab6.5s-chat
-label:
-  en_US: Abab6.5s-Chat
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 245760
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.1
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 245760
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.01'
-  output: '0.01'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml
deleted file mode 100644
index cc8a3aa0ec..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: abab6.5t-chat
-label:
-  en_US: Abab6.5t-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.9
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 3072
-    min: 1
-    max: 8192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.005'
-  output: '0.005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml
deleted file mode 100644
index bb9899d580..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: abab7-chat-preview
-label:
-  en_US: Abab7-chat-preview
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 245760
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.1
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 245760
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py b/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py
deleted file mode 100644
index 357631b2db..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py
+++ /dev/null
@@ -1,166 +0,0 @@
-from collections.abc import Generator
-from json import dumps, loads
-from typing import Any, Union
-
-from requests import Response, post
-
-from core.model_runtime.model_providers.minimax.llm.errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage
-
-
-class MinimaxChatCompletion:
-    """
-    Minimax Chat Completion API
-    """
-
-    def generate(
-        self,
-        model: str,
-        api_key: str,
-        group_id: str,
-        prompt_messages: list[MinimaxMessage],
-        model_parameters: dict,
-        tools: list[dict[str, Any]],
-        stop: list[str] | None,
-        stream: bool,
-        user: str,
-    ) -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]:
-        """
-        generate chat completion
-        """
-        if not api_key or not group_id:
-            raise InvalidAPIKeyError("Invalid API key or group ID")
-
-        url = f"https://api.minimax.chat/v1/text/chatcompletion?GroupId={group_id}"
-
-        extra_kwargs: dict[str, Any] = {}
-
-        if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int:
-            extra_kwargs["tokens_to_generate"] = model_parameters["max_tokens"]
-
-        if "temperature" in model_parameters and type(model_parameters["temperature"]) == float:
-            extra_kwargs["temperature"] = model_parameters["temperature"]
-
-        if "top_p" in model_parameters and type(model_parameters["top_p"]) == float:
-            extra_kwargs["top_p"] = model_parameters["top_p"]
-
-        prompt = "你是一个什么都懂的专家"
-
-        role_meta = {"user_name": "我", "bot_name": "专家"}
-
-        # check if there is a system message
-        if len(prompt_messages) == 0:
-            raise BadRequestError("At least one message is required")
-
-        if prompt_messages[0].role == MinimaxMessage.Role.SYSTEM.value:
-            if prompt_messages[0].content:
-                prompt = prompt_messages[0].content
-            prompt_messages = prompt_messages[1:]
-
-        # check if there is a user message
-        if len(prompt_messages) == 0:
-            raise BadRequestError("At least one user message is required")
-
-        messages = [
-            {
-                "sender_type": message.role,
-                "text": message.content,
-            }
-            for message in prompt_messages
-        ]
-
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        body = {
-            "model": model,
-            "messages": messages,
-            "prompt": prompt,
-            "role_meta": role_meta,
-            "stream": stream,
-            **extra_kwargs,
-        }
-
-        try:
-            response = post(url=url, data=dumps(body), headers=headers, stream=stream, timeout=(10, 300))
-        except Exception as e:
-            raise InternalServerError(e)
-
-        if response.status_code != 200:
-            raise InternalServerError(response.text)
-
-        if stream:
-            return self._handle_stream_chat_generate_response(response)
-        return self._handle_chat_generate_response(response)
-
-    def _handle_error(self, code: int, msg: str):
-        if code in {1000, 1001, 1013, 1027}:
-            raise InternalServerError(msg)
-        elif code in {1002, 1039}:
-            raise RateLimitReachedError(msg)
-        elif code == 1004:
-            raise InvalidAuthenticationError(msg)
-        elif code == 1008:
-            raise InsufficientAccountBalanceError(msg)
-        elif code == 2013:
-            raise BadRequestError(msg)
-        else:
-            raise InternalServerError(msg)
-
-    def _handle_chat_generate_response(self, response: Response) -> MinimaxMessage:
-        """
-        handle chat generate response
-        """
-        response_data = response.json()
-        if "base_resp" in response_data and response_data["base_resp"]["status_code"] != 0:
-            code = response_data["base_resp"]["status_code"]
-            msg = response_data["base_resp"]["status_msg"]
-            self._handle_error(code, msg)
-
-        message = MinimaxMessage(content=response_data["reply"], role=MinimaxMessage.Role.ASSISTANT.value)
-        message.usage = {
-            "prompt_tokens": 0,
-            "completion_tokens": response_data["usage"]["total_tokens"],
-            "total_tokens": response_data["usage"]["total_tokens"],
-        }
-        message.stop_reason = response_data["choices"][0]["finish_reason"]
-        return message
-
-    def _handle_stream_chat_generate_response(self, response: Response) -> Generator[MinimaxMessage, None, None]:
-        """
-        handle stream chat generate response
-        """
-        for line in response.iter_lines():
-            if not line:
-                continue
-            line_str: str = line.decode("utf-8")
-            if line_str.startswith("data: "):
-                line_str = line_str[6:].strip()
-            data = loads(line_str)
-
-            if "base_resp" in data and data["base_resp"]["status_code"] != 0:
-                code = data["base_resp"]["status_code"]
-                msg = data["base_resp"]["status_msg"]
-                self._handle_error(code, msg)
-
-            if data["reply"]:
-                total_tokens = data["usage"]["total_tokens"]
-                message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="")
-                message.usage = {"prompt_tokens": 0, "completion_tokens": total_tokens, "total_tokens": total_tokens}
-                message.stop_reason = data["choices"][0]["finish_reason"]
-                yield message
-                return
-
-            choices = data.get("choices", [])
-            if len(choices) == 0:
-                continue
-
-            for choice in choices:
-                message_choice = choice["delta"]
-                yield MinimaxMessage(content=message_choice, role=MinimaxMessage.Role.ASSISTANT.value)
diff --git a/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py b/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py
deleted file mode 100644
index 284b61829f..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py
+++ /dev/null
@@ -1,191 +0,0 @@
-from collections.abc import Generator
-from json import dumps, loads
-from typing import Any, Union
-
-from requests import Response, post
-
-from core.model_runtime.model_providers.minimax.llm.errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage
-
-
-class MinimaxChatCompletionPro:
-    """
-    Minimax Chat Completion Pro API, supports function calling
-    however, we do not have enough time and energy to implement it, but the parameters are reserved
-    """
-
-    def generate(
-        self,
-        model: str,
-        api_key: str,
-        group_id: str,
-        prompt_messages: list[MinimaxMessage],
-        model_parameters: dict,
-        tools: list[dict[str, Any]],
-        stop: list[str] | None,
-        stream: bool,
-        user: str,
-    ) -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]:
-        """
-        generate chat completion
-        """
-        if not api_key or not group_id:
-            raise InvalidAPIKeyError("Invalid API key or group ID")
-
-        url = f"https://api.minimax.chat/v1/text/chatcompletion_pro?GroupId={group_id}"
-
-        extra_kwargs: dict[str, Any] = {}
-
-        if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int:
-            extra_kwargs["tokens_to_generate"] = model_parameters["max_tokens"]
-
-        if "temperature" in model_parameters and type(model_parameters["temperature"]) == float:
-            extra_kwargs["temperature"] = model_parameters["temperature"]
-
-        if "top_p" in model_parameters and type(model_parameters["top_p"]) == float:
-            extra_kwargs["top_p"] = model_parameters["top_p"]
-
-        if "mask_sensitive_info" in model_parameters and type(model_parameters["mask_sensitive_info"]) == bool:
-            extra_kwargs["mask_sensitive_info"] = model_parameters["mask_sensitive_info"]
-
-        if model_parameters.get("plugin_web_search"):
-            extra_kwargs["plugins"] = ["plugin_web_search"]
-
-        bot_setting = {"bot_name": "专家", "content": "你是一个什么都懂的专家"}
-
-        reply_constraints = {"sender_type": "BOT", "sender_name": "专家"}
-
-        # check if there is a system message
-        if len(prompt_messages) == 0:
-            raise BadRequestError("At least one message is required")
-
-        if prompt_messages[0].role == MinimaxMessage.Role.SYSTEM.value:
-            if prompt_messages[0].content:
-                bot_setting["content"] = prompt_messages[0].content
-            prompt_messages = prompt_messages[1:]
-
-        # check if there is a user message
-        if len(prompt_messages) == 0:
-            raise BadRequestError("At least one user message is required")
-
-        messages = [message.to_dict() for message in prompt_messages]
-
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        body = {
-            "model": model,
-            "messages": messages,
-            "bot_setting": [bot_setting],
-            "reply_constraints": reply_constraints,
-            "stream": stream,
-            **extra_kwargs,
-        }
-
-        if tools:
-            body["functions"] = tools
-            body["function_call"] = {"type": "auto"}
-
-        try:
-            response = post(url=url, data=dumps(body), headers=headers, stream=stream, timeout=(10, 300))
-        except Exception as e:
-            raise InternalServerError(e)
-
-        if response.status_code != 200:
-            raise InternalServerError(response.text)
-
-        if stream:
-            return self._handle_stream_chat_generate_response(response)
-        return self._handle_chat_generate_response(response)
-
-    def _handle_error(self, code: int, msg: str):
-        if code in {1000, 1001, 1013, 1027}:
-            raise InternalServerError(msg)
-        elif code in {1002, 1039}:
-            raise RateLimitReachedError(msg)
-        elif code == 1004:
-            raise InvalidAuthenticationError(msg)
-        elif code == 1008:
-            raise InsufficientAccountBalanceError(msg)
-        elif code == 2013:
-            raise BadRequestError(msg)
-        else:
-            raise InternalServerError(msg)
-
-    def _handle_chat_generate_response(self, response: Response) -> MinimaxMessage:
-        """
-        handle chat generate response
-        """
-        response_data = response.json()
-        if "base_resp" in response_data and response_data["base_resp"]["status_code"] != 0:
-            code = response_data["base_resp"]["status_code"]
-            msg = response_data["base_resp"]["status_msg"]
-            self._handle_error(code, msg)
-
-        message = MinimaxMessage(content=response_data["reply"], role=MinimaxMessage.Role.ASSISTANT.value)
-        message.usage = {
-            "prompt_tokens": 0,
-            "completion_tokens": response_data["usage"]["total_tokens"],
-            "total_tokens": response_data["usage"]["total_tokens"],
-        }
-        message.stop_reason = response_data["choices"][0]["finish_reason"]
-        return message
-
-    def _handle_stream_chat_generate_response(self, response: Response) -> Generator[MinimaxMessage, None, None]:
-        """
-        handle stream chat generate response
-        """
-        for line in response.iter_lines():
-            if not line:
-                continue
-            line_str: str = line.decode("utf-8")
-            if line_str.startswith("data: "):
-                line_str = line_str[6:].strip()
-            data = loads(line_str)
-
-            if "base_resp" in data and data["base_resp"]["status_code"] != 0:
-                code = data["base_resp"]["status_code"]
-                msg = data["base_resp"]["status_msg"]
-                self._handle_error(code, msg)
-
-            # final chunk
-            if data["reply"] or data.get("usage"):
-                total_tokens = data["usage"]["total_tokens"]
-                minimax_message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="")
-                minimax_message.usage = {
-                    "prompt_tokens": 0,
-                    "completion_tokens": total_tokens,
-                    "total_tokens": total_tokens,
-                }
-                minimax_message.stop_reason = data["choices"][0]["finish_reason"]
-
-                choices = data.get("choices", [])
-                if len(choices) > 0:
-                    for choice in choices:
-                        message = choice["messages"][0]
-                        # append function_call message
-                        if "function_call" in message:
-                            function_call_message = MinimaxMessage(content="", role=MinimaxMessage.Role.ASSISTANT.value)
-                            function_call_message.function_call = message["function_call"]
-                            yield function_call_message
-
-                yield minimax_message
-                return
-
-            # partial chunk
-            choices = data.get("choices", [])
-            if len(choices) == 0:
-                continue
-
-            for choice in choices:
-                message = choice["messages"][0]
-                # append text message
-                if "text" in message:
-                    minimax_message = MinimaxMessage(content=message["text"], role=MinimaxMessage.Role.ASSISTANT.value)
-                    yield minimax_message
diff --git a/api/core/model_runtime/model_providers/minimax/llm/errors.py b/api/core/model_runtime/model_providers/minimax/llm/errors.py
deleted file mode 100644
index 309b5cf413..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/errors.py
+++ /dev/null
@@ -1,22 +0,0 @@
-class InvalidAuthenticationError(Exception):
-    pass
-
-
-class InvalidAPIKeyError(Exception):
-    pass
-
-
-class RateLimitReachedError(Exception):
-    pass
-
-
-class InsufficientAccountBalanceError(Exception):
-    pass
-
-
-class InternalServerError(Exception):
-    pass
-
-
-class BadRequestError(Exception):
-    pass
diff --git a/api/core/model_runtime/model_providers/minimax/llm/llm.py b/api/core/model_runtime/model_providers/minimax/llm/llm.py
deleted file mode 100644
index 6ca32d8b24..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/llm.py
+++ /dev/null
@@ -1,274 +0,0 @@
-from collections.abc import Generator
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.minimax.llm.chat_completion import MinimaxChatCompletion
-from core.model_runtime.model_providers.minimax.llm.chat_completion_pro import MinimaxChatCompletionPro
-from core.model_runtime.model_providers.minimax.llm.errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage
-
-
-class MinimaxLargeLanguageModel(LargeLanguageModel):
-    model_apis = {
-        "minimax-text-01": MinimaxChatCompletionPro,
-        "abab7-chat-preview": MinimaxChatCompletionPro,
-        "abab6.5t-chat": MinimaxChatCompletionPro,
-        "abab6.5s-chat": MinimaxChatCompletionPro,
-        "abab6.5-chat": MinimaxChatCompletionPro,
-        "abab6-chat": MinimaxChatCompletionPro,
-        "abab5.5s-chat": MinimaxChatCompletionPro,
-        "abab5.5-chat": MinimaxChatCompletionPro,
-        "abab5-chat": MinimaxChatCompletion,
-    }
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate credentials for Baichuan model
-        """
-        if model not in self.model_apis:
-            raise CredentialsValidateFailedError(f"Invalid model: {model}")
-
-        if not credentials.get("minimax_api_key"):
-            raise CredentialsValidateFailedError("Invalid API key")
-
-        if not credentials.get("minimax_group_id"):
-            raise CredentialsValidateFailedError("Invalid group ID")
-
-        # ping
-        instance = MinimaxChatCompletionPro()
-        try:
-            instance.generate(
-                model=model,
-                api_key=credentials["minimax_api_key"],
-                group_id=credentials["minimax_group_id"],
-                prompt_messages=[MinimaxMessage(content="ping", role="USER")],
-                model_parameters={},
-                tools=[],
-                stop=[],
-                stream=False,
-                user="",
-            )
-        except (InvalidAuthenticationError, InsufficientAccountBalanceError) as e:
-            raise CredentialsValidateFailedError(f"Invalid API key: {e}")
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        return self._num_tokens_from_messages(prompt_messages, tools)
-
-    def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for minimax model
-
-        not like ChatGLM, Minimax has a special prompt structure, we could not find a proper way
-        to calculate the num tokens, so we use str() to convert the prompt to string
-
-        Minimax does not provide their own tokenizer of adab5.5 and abab5 model
-        therefore, we use gpt2 tokenizer instead
-        """
-        messages_dict = [self._convert_prompt_message_to_minimax_message(m).to_dict() for m in messages]
-        return self._get_num_tokens_by_gpt2(str(messages_dict))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        use MinimaxChatCompletionPro as the type of client, anyway,  MinimaxChatCompletion has the same interface
-        """
-        client: MinimaxChatCompletionPro = self.model_apis[model]()
-
-        if tools:
-            tools = [
-                {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools
-            ]
-
-        response = client.generate(
-            model=model,
-            api_key=credentials["minimax_api_key"],
-            group_id=credentials["minimax_group_id"],
-            prompt_messages=[self._convert_prompt_message_to_minimax_message(message) for message in prompt_messages],
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(
-                model=model, prompt_messages=prompt_messages, credentials=credentials, response=response
-            )
-        return self._handle_chat_generate_response(
-            model=model, prompt_messages=prompt_messages, credentials=credentials, response=response
-        )
-
-    def _convert_prompt_message_to_minimax_message(self, prompt_message: PromptMessage) -> MinimaxMessage:
-        """
-        convert PromptMessage to MinimaxMessage so that we can use MinimaxChatCompletionPro interface
-        """
-        if isinstance(prompt_message, SystemPromptMessage):
-            return MinimaxMessage(role=MinimaxMessage.Role.SYSTEM.value, content=prompt_message.content)
-        elif isinstance(prompt_message, UserPromptMessage):
-            return MinimaxMessage(role=MinimaxMessage.Role.USER.value, content=prompt_message.content)
-        elif isinstance(prompt_message, AssistantPromptMessage):
-            if prompt_message.tool_calls:
-                message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="")
-                message.function_call = {
-                    "name": prompt_message.tool_calls[0].function.name,
-                    "arguments": prompt_message.tool_calls[0].function.arguments,
-                }
-                return message
-            return MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content=prompt_message.content)
-        elif isinstance(prompt_message, ToolPromptMessage):
-            return MinimaxMessage(role=MinimaxMessage.Role.FUNCTION.value, content=prompt_message.content)
-        else:
-            raise NotImplementedError(f"Prompt message type {type(prompt_message)} is not supported")
-
-    def _handle_chat_generate_response(
-        self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: MinimaxMessage
-    ) -> LLMResult:
-        usage = self._calc_response_usage(
-            model=model,
-            credentials=credentials,
-            prompt_tokens=response.usage["prompt_tokens"],
-            completion_tokens=response.usage["completion_tokens"],
-        )
-        return LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=AssistantPromptMessage(
-                content=response.content,
-                tool_calls=[],
-            ),
-            usage=usage,
-        )
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Generator[MinimaxMessage, None, None],
-    ) -> Generator[LLMResultChunk, None, None]:
-        for message in response:
-            if message.usage:
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=message.usage["prompt_tokens"],
-                    completion_tokens=message.usage["completion_tokens"],
-                )
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        usage=usage,
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-            elif message.function_call:
-                if "name" not in message.function_call or "arguments" not in message.function_call:
-                    continue
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(
-                            content="",
-                            tool_calls=[
-                                AssistantPromptMessage.ToolCall(
-                                    id="",
-                                    type="function",
-                                    function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                        name=message.function_call["name"], arguments=message.function_call["arguments"]
-                                    ),
-                                )
-                            ],
-                        ),
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [InternalServerError],
-            InvokeRateLimitError: [RateLimitReachedError],
-            InvokeAuthorizationError: [
-                InvalidAuthenticationError,
-                InsufficientAccountBalanceError,
-                InvalidAPIKeyError,
-            ],
-            InvokeBadRequestError: [BadRequestError, KeyError],
-        }
diff --git a/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml b/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml
deleted file mode 100644
index 8f31aa872e..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: minimax-text-01
-label:
-  en_US: Minimax-Text-01
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 1000192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.01
-    max: 1
-    default: 0.1
-  - name: top_p
-    use_template: top_p
-    min: 0.01
-    max: 1
-    default: 0.95
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 1000192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0.001'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/llm/types.py b/api/core/model_runtime/model_providers/minimax/llm/types.py
deleted file mode 100644
index c248db374a..0000000000
--- a/api/core/model_runtime/model_providers/minimax/llm/types.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from enum import Enum
-from typing import Any
-
-
-class MinimaxMessage:
-    class Role(Enum):
-        USER = "USER"
-        ASSISTANT = "BOT"
-        SYSTEM = "SYSTEM"
-        FUNCTION = "FUNCTION"
-
-    role: str = Role.USER.value
-    content: str
-    usage: dict[str, int] | None = None
-    stop_reason: str = ""
-    function_call: dict[str, Any] | None = None
-
-    def to_dict(self) -> dict[str, Any]:
-        if self.function_call and self.role == MinimaxMessage.Role.ASSISTANT.value:
-            return {"sender_type": "BOT", "sender_name": "专家", "text": "", "function_call": self.function_call}
-
-        return {
-            "sender_type": self.role,
-            "sender_name": "我" if self.role == "USER" else "专家",
-            "text": self.content,
-        }
-
-    def __init__(self, content: str, role: str = "USER") -> None:
-        self.content = content
-        self.role = role
diff --git a/api/core/model_runtime/model_providers/minimax/minimax.py b/api/core/model_runtime/model_providers/minimax/minimax.py
deleted file mode 100644
index 5a761903a1..0000000000
--- a/api/core/model_runtime/model_providers/minimax/minimax.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class MinimaxProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `abab5.5-chat` model for validate,
-            model_instance.validate_credentials(model="abab5.5-chat", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise CredentialsValidateFailedError(f"{ex}")
diff --git a/api/core/model_runtime/model_providers/minimax/minimax.yaml b/api/core/model_runtime/model_providers/minimax/minimax.yaml
deleted file mode 100644
index 0a97ff9bb9..0000000000
--- a/api/core/model_runtime/model_providers/minimax/minimax.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-provider: minimax
-label:
-  en_US: Minimax
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#FFEFEF"
-help:
-  title:
-    en_US: Get your API Key from Minimax
-    zh_Hans: 从 Minimax 获取您的 API Key
-  url:
-    en_US: https://api.minimax.chat/user-center/basic-information/interface-key
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: minimax_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: minimax_group_id
-      label:
-        en_US: Group ID
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 Group ID
-        en_US: Enter your group ID
diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/__init__.py b/api/core/model_runtime/model_providers/minimax/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml b/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml
deleted file mode 100644
index 33546eafd3..0000000000
--- a/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embo-01
-model_type: text-embedding
-model_properties:
-  context_size: 4096
-  max_chunks: 1
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py
deleted file mode 100644
index 29be5888af..0000000000
--- a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,185 +0,0 @@
-import time
-from json import dumps
-from typing import Optional
-
-from requests import post
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.minimax.llm.errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-
-class MinimaxTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Minimax text embedding model.
-    """
-
-    api_base: str = "https://api.minimax.chat/v1/embeddings"
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["minimax_api_key"]
-        group_id = credentials["minimax_group_id"]
-        if model != "embo-01":
-            raise ValueError("Invalid model name")
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-        url = f"{self.api_base}?GroupId={group_id}"
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        embedding_type = "db" if input_type == EmbeddingInputType.DOCUMENT else "query"
-        data = {"model": "embo-01", "texts": texts, "type": embedding_type}
-
-        try:
-            response = post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            raise InvokeServerUnavailableError(response.text)
-
-        try:
-            resp = response.json()
-            # check if there is an error
-            if resp["base_resp"]["status_code"] != 0:
-                code = resp["base_resp"]["status_code"]
-                msg = resp["base_resp"]["status_msg"]
-                self._handle_error(code, msg)
-
-            embeddings = resp["vectors"]
-            total_tokens = resp["total_tokens"]
-        except InvalidAuthenticationError:
-            raise InvalidAPIKeyError("Invalid api key")
-        except KeyError as e:
-            raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=total_tokens)
-
-        result = TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage)
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use MinimaxTokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvalidAPIKeyError:
-            raise CredentialsValidateFailedError("Invalid api key")
-
-    def _handle_error(self, code: int, msg: str):
-        if code in {1000, 1001}:
-            raise InternalServerError(msg)
-        elif code == 1002:
-            raise RateLimitReachedError(msg)
-        elif code == 1004:
-            raise InvalidAuthenticationError(msg)
-        elif code == 1008:
-            raise InsufficientAccountBalanceError(msg)
-        elif code == 2013:
-            raise BadRequestError(msg)
-        else:
-            raise InternalServerError(msg)
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [InternalServerError],
-            InvokeRateLimitError: [RateLimitReachedError],
-            InvokeAuthorizationError: [
-                InvalidAuthenticationError,
-                InsufficientAccountBalanceError,
-                InvalidAPIKeyError,
-            ],
-            InvokeBadRequestError: [BadRequestError, KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/mistralai/__init__.py b/api/core/model_runtime/model_providers/mistralai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/mistralai/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/mistralai/_assets/icon_l_en.png
deleted file mode 100644
index f019b1edceac20bb838c9be16985b4e8767344d8..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml b/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml
deleted file mode 100644
index 5702797ac4..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-- pixtral-large-latest
-- pixtral-large-2411
-- pixtral-12b-2409
-- codestral-latest
-- mistral-embed
-- open-mistral-nemo
-- open-codestral-mamba
-- open-mistral-7b
-- open-mixtral-8x7b
-- open-mixtral-8x22b
-- mistral-small-latest
-- mistral-medium-latest
-- mistral-large-latest
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml
deleted file mode 100644
index 5f1260233f..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: codestral-latest
-label:
-  zh_Hans: codestral-latest
-  en_US: codestral-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4096
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/llm.py b/api/core/model_runtime/model_providers/mistralai/llm/llm.py
deleted file mode 100644
index da60bd7661..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/llm.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class MistralAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-
-        # mistral dose not support user/stop arguments
-        stop = []
-        user = None
-
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = "https://api.mistral.ai/v1"
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml
deleted file mode 100644
index d759103d08..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: mistral-embed
-label:
-  zh_Hans: mistral-embed
-  en_US: mistral-embed
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml
deleted file mode 100644
index a0d07a2bf8..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: mistral-large-latest
-label:
-  zh_Hans: mistral-large-latest
-  en_US: mistral-large-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml
deleted file mode 100644
index 7c7440894c..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: mistral-medium-latest
-label:
-  zh_Hans: mistral-medium-latest
-  en_US: mistral-medium-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.0027'
-  output: '0.0081'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml
deleted file mode 100644
index 865e610226..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: mistral-small-latest
-label:
-  zh_Hans: mistral-small-latest
-  en_US: mistral-small-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml
deleted file mode 100644
index d7ffb9ea02..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: open-codestral-mamba
-label:
-  zh_Hans: open-codestral-mamba
-  en_US: open-codestral-mamba
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 16384
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml
deleted file mode 100644
index ac29226959..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: open-mistral-7b
-label:
-  zh_Hans: open-mistral-7b
-  en_US: open-mistral-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 2048
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.00025'
-  output: '0.00025'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml
deleted file mode 100644
index dcda4fbce7..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: open-mistral-nemo
-label:
-  zh_Hans: open-mistral-nemo
-  en_US: open-mistral-nemo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8192
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml
deleted file mode 100644
index 325fafd497..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: open-mixtral-8x22b
-label:
-  zh_Hans: open-mixtral-8x22b
-  en_US: open-mixtral-8x22b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml
deleted file mode 100644
index d217e5e7e9..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: open-mixtral-8x7b
-label:
-  zh_Hans: open-mixtral-8x7b
-  en_US: open-mixtral-8x7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.0007'
-  output: '0.0007'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml
deleted file mode 100644
index 9eb663bc31..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: pixtral-12b-2409
-label:
-  zh_Hans: pixtral-12b-2409
-  en_US: pixtral-12b-2409
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml
deleted file mode 100644
index 606c9aa331..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: pixtral-large-2411
-label:
-  zh_Hans: pixtral-large-2411
-  en_US: pixtral-large-2411
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml
deleted file mode 100644
index 4f0ed5ae5d..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: pixtral-large-latest
-label:
-  zh_Hans: pixtral-large-latest
-  en_US: pixtral-large-latest
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: safe_prompt
-    default: false
-    type: boolean
-    help:
-      en_US: Whether to inject a safety prompt before all conversations.
-      zh_Hans: 是否开启提示词审查
-    label:
-      en_US: SafePrompt
-      zh_Hans: 提示词审查
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: RandomSeed
-      zh_Hans: 随机数种子
-    default: 0
-    min: 0
-    max: 2147483647
-pricing:
-  input: '0.008'
-  output: '0.024'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mistralai/mistralai.py b/api/core/model_runtime/model_providers/mistralai/mistralai.py
deleted file mode 100644
index 7f9db8da1c..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/mistralai.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class MistralAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="open-mistral-7b", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/mistralai/mistralai.yaml b/api/core/model_runtime/model_providers/mistralai/mistralai.yaml
deleted file mode 100644
index c9b4226ea6..0000000000
--- a/api/core/model_runtime/model_providers/mistralai/mistralai.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: mistralai
-label:
-  en_US: MistralAI
-description:
-  en_US: Models provided by MistralAI, such as open-mistral-7b and mistral-large-latest.
-  zh_Hans: MistralAI 提供的模型，例如 open-mistral-7b 和 mistral-large-latest。
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#FFFFFF"
-help:
-  title:
-    en_US: Get your API Key from MistralAI
-    zh_Hans: 从 MistralAI 获取 API Key
-  url:
-    en_US: https://console.mistral.ai/api-keys/
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/mixedbread/__init__.py b/api/core/model_runtime/model_providers/mixedbread/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/mixedbread/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/mixedbread/_assets/icon_l_en.png
deleted file mode 100644
index 2027611bd5e8b4c7d06a5d00e515a0db70e67a17..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/api/core/model_runtime/model_providers/mixedbread/mixedbread.py b/api/core/model_runtime/model_providers/mixedbread/mixedbread.py
deleted file mode 100644
index 3c78150e6f..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/mixedbread.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class MixedBreadProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING)
-
-            # Use `mxbai-embed-large-v1` model for validate,
-            model_instance.validate_credentials(model="mxbai-embed-large-v1", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml b/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml
deleted file mode 100644
index 2f43aea6ad..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: mixedbread
-label:
-  en_US: MixedBread
-description:
-  en_US: Embedding and Rerank Model Supported
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#EFFDFD"
-help:
-  title:
-    en_US: Get your API key from MixedBread AI
-    zh_Hans: 从 MixedBread 获取 API Key
-  url:
-    en_US: https://www.mixedbread.ai/
-supported_model_types:
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/__init__.py b/api/core/model_runtime/model_providers/mixedbread/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml
deleted file mode 100644
index beda219953..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: mxbai-rerank-large-v1
-model_type: rerank
-model_properties:
-  context_size: 512
diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py b/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py
deleted file mode 100644
index bf3c12fd86..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py
+++ /dev/null
@@ -1,125 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class MixedBreadRerankModel(RerankModel):
-    """
-    Model class for MixedBread rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        base_url = credentials.get("base_url", "https://api.mixedbread.ai/v1")
-        base_url = base_url.removesuffix("/")
-
-        try:
-            response = httpx.post(
-                base_url + "/reranking",
-                json={"model": model, "query": query, "input": docs, "top_k": top_n, "return_input": True},
-                headers={"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"},
-            )
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["data"]:
-                rerank_document = RerankDocument(
-                    index=result["index"],
-                    text=result["input"],
-                    score=result["score"],
-                )
-                if score_threshold is None or result["score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512"))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/__init__.py b/api/core/model_runtime/model_providers/mixedbread/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml
deleted file mode 100644
index 0c3c863d06..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: mxbai-embed-2d-large-v1
-model_type: text-embedding
-model_properties:
-  context_size: 512
-pricing:
-  input: '0.0001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml
deleted file mode 100644
index 0c5cda2a72..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: mxbai-embed-large-v1
-model_type: text-embedding
-model_properties:
-  context_size: 512
-pricing:
-  input: '0.0001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py
deleted file mode 100644
index ca949cb953..0000000000
--- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,170 +0,0 @@
-import time
-from json import JSONDecodeError, dumps
-from typing import Optional
-
-import requests
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class MixedBreadTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for MixedBread text embedding model.
-    """
-
-    api_base: str = "https://api.mixedbread.ai/v1"
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["api_key"]
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-
-        base_url = credentials.get("base_url", self.api_base)
-        base_url = base_url.removesuffix("/")
-
-        url = base_url + "/embeddings"
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        data = {"model": model, "input": texts}
-
-        try:
-            response = requests.post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                msg = resp["detail"]
-                if response.status_code == 401:
-                    raise InvokeAuthorizationError(msg)
-                elif response.status_code == 429:
-                    raise InvokeRateLimitError(msg)
-                elif response.status_code == 500:
-                    raise InvokeServerUnavailableError(msg)
-                else:
-                    raise InvokeBadRequestError(msg)
-            except JSONDecodeError as e:
-                raise InvokeServerUnavailableError(
-                    f"Failed to convert response to json: {e} with text: {response.text}"
-                )
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError, InvokeBadRequestError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512"))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/model_provider_factory.py b/api/core/model_runtime/model_providers/model_provider_factory.py
index e2d17e3257..b311f069a8 100644
--- a/api/core/model_runtime/model_providers/model_provider_factory.py
+++ b/api/core/model_runtime/model_providers/model_provider_factory.py
@@ -1,63 +1,134 @@
 import logging
 import os
 from collections.abc import Sequence
+from threading import Lock
 from typing import Optional
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel
 
-from core.helper.module_import_helper import load_single_subclass_from_source
+import contexts
+from core.entities import DEFAULT_PLUGIN_ID
 from core.helper.position_helper import get_provider_position_map, sort_to_dict_by_position_map
-from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
 from core.model_runtime.entities.provider_entities import ProviderConfig, ProviderEntity, SimpleProviderEntity
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
+from core.model_runtime.model_providers.__base.ai_model import AIModel
+from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+from core.model_runtime.model_providers.__base.moderation_model import ModerationModel
+from core.model_runtime.model_providers.__base.rerank_model import RerankModel
+from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
+from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
+from core.model_runtime.model_providers.__base.tts_model import TTSModel
 from core.model_runtime.schema_validators.model_credential_schema_validator import ModelCredentialSchemaValidator
 from core.model_runtime.schema_validators.provider_credential_schema_validator import ProviderCredentialSchemaValidator
+from core.plugin.entities.plugin import ModelProviderID
+from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+from core.plugin.manager.asset import PluginAssetManager
+from core.plugin.manager.model import PluginModelManager
 
 logger = logging.getLogger(__name__)
 
 
 class ModelProviderExtension(BaseModel):
-    model_config = ConfigDict(arbitrary_types_allowed=True)
-
-    provider_instance: ModelProvider
-    name: str
+    plugin_model_provider_entity: PluginModelProviderEntity
     position: Optional[int] = None
 
 
 class ModelProviderFactory:
-    model_provider_extensions: Optional[dict[str, ModelProviderExtension]] = None
+    provider_position_map: dict[str, int] = {}
 
-    def __init__(self) -> None:
-        # for cache in memory
-        self.get_providers()
+    def __init__(self, tenant_id: str) -> None:
+        self.tenant_id = tenant_id
+        self.plugin_model_manager = PluginModelManager()
+
+        if not self.provider_position_map:
+            # get the path of current classes
+            current_path = os.path.abspath(__file__)
+            model_providers_path = os.path.dirname(current_path)
+
+            # get _position.yaml file path
+            self.provider_position_map = get_provider_position_map(model_providers_path)
 
     def get_providers(self) -> Sequence[ProviderEntity]:
         """
         Get all providers
         :return: list of providers
         """
-        # scan all providers
-        model_provider_extensions = self._get_model_provider_map()
+        # Fetch plugin model providers
+        plugin_providers = self.get_plugin_model_providers()
 
-        # traverse all model_provider_extensions
-        providers = []
-        for model_provider_extension in model_provider_extensions.values():
-            # get model_provider instance
-            model_provider_instance = model_provider_extension.provider_instance
+        # Convert PluginModelProviderEntity to ModelProviderExtension
+        model_provider_extensions = []
+        for provider in plugin_providers:
+            model_provider_extensions.append(ModelProviderExtension(plugin_model_provider_entity=provider))
 
-            # get provider schema
-            provider_schema = model_provider_instance.get_provider_schema()
+        sorted_extensions = sort_to_dict_by_position_map(
+            position_map=self.provider_position_map,
+            data=model_provider_extensions,
+            name_func=lambda x: x.plugin_model_provider_entity.declaration.provider,
+        )
 
-            for model_type in provider_schema.supported_model_types:
-                # get predefined models for given model type
-                models = model_provider_instance.models(model_type)
-                if models:
-                    provider_schema.models.extend(models)
+        return [extension.plugin_model_provider_entity.declaration for extension in sorted_extensions.values()]
 
-            providers.append(provider_schema)
+    def get_plugin_model_providers(self) -> Sequence[PluginModelProviderEntity]:
+        """
+        Get all plugin model providers
+        :return: list of plugin model providers
+        """
+        # check if context is set
+        try:
+            contexts.plugin_model_providers.get()
+        except LookupError:
+            contexts.plugin_model_providers.set(None)
+            contexts.plugin_model_providers_lock.set(Lock())
 
-        # return providers
-        return providers
+        with contexts.plugin_model_providers_lock.get():
+            plugin_model_providers = contexts.plugin_model_providers.get()
+            if plugin_model_providers is not None:
+                return plugin_model_providers
+
+            plugin_model_providers = []
+            contexts.plugin_model_providers.set(plugin_model_providers)
+
+            # Fetch plugin model providers
+            plugin_providers = self.plugin_model_manager.fetch_model_providers(self.tenant_id)
+
+            for provider in plugin_providers:
+                provider.declaration.provider = provider.plugin_id + "/" + provider.declaration.provider
+                plugin_model_providers.append(provider)
+
+            return plugin_model_providers
+
+    def get_provider_schema(self, provider: str) -> ProviderEntity:
+        """
+        Get provider schema
+        :param provider: provider name
+        :return: provider schema
+        """
+        plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider)
+        return plugin_model_provider_entity.declaration
+
+    def get_plugin_model_provider(self, provider: str) -> PluginModelProviderEntity:
+        """
+        Get plugin model provider
+        :param provider: provider name
+        :return: provider schema
+        """
+        if "/" not in provider:
+            provider = str(ModelProviderID(provider))
+
+        # fetch plugin model providers
+        plugin_model_provider_entities = self.get_plugin_model_providers()
+
+        # get the provider
+        plugin_model_provider_entity = next(
+            (p for p in plugin_model_provider_entities if p.declaration.provider == provider),
+            None,
+        )
+
+        if not plugin_model_provider_entity:
+            raise ValueError(f"Invalid provider: {provider}")
+
+        return plugin_model_provider_entity
 
     def provider_credentials_validate(self, *, provider: str, credentials: dict) -> dict:
         """
@@ -67,15 +138,11 @@ class ModelProviderFactory:
         :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
         :return:
         """
-        # get the provider instance
-        model_provider_instance = self.get_provider_instance(provider)
-
-        # get provider schema
-        provider_schema = model_provider_instance.get_provider_schema()
+        # fetch plugin model provider
+        plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider)
 
         # get provider_credential_schema and validate credentials according to the rules
-        provider_credential_schema = provider_schema.provider_credential_schema
-
+        provider_credential_schema = plugin_model_provider_entity.declaration.provider_credential_schema
         if not provider_credential_schema:
             raise ValueError(f"Provider {provider} does not have provider_credential_schema")
 
@@ -84,7 +151,13 @@ class ModelProviderFactory:
         filtered_credentials = validator.validate_and_filter(credentials)
 
         # validate the credentials, raise exception if validation failed
-        model_provider_instance.validate_provider_credentials(filtered_credentials)
+        self.plugin_model_manager.validate_provider_credentials(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=plugin_model_provider_entity.plugin_id,
+            provider=plugin_model_provider_entity.provider,
+            credentials=filtered_credentials,
+        )
 
         return filtered_credentials
 
@@ -100,15 +173,11 @@ class ModelProviderFactory:
         :param credentials: model credentials, credentials form defined in `model_credential_schema`.
         :return:
         """
-        # get the provider instance
-        model_provider_instance = self.get_provider_instance(provider)
-
-        # get provider schema
-        provider_schema = model_provider_instance.get_provider_schema()
+        # fetch plugin model provider
+        plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider)
 
         # get model_credential_schema and validate credentials according to the rules
-        model_credential_schema = provider_schema.model_credential_schema
-
+        model_credential_schema = plugin_model_provider_entity.declaration.model_credential_schema
         if not model_credential_schema:
             raise ValueError(f"Provider {provider} does not have model_credential_schema")
 
@@ -116,14 +185,38 @@ class ModelProviderFactory:
         validator = ModelCredentialSchemaValidator(model_type, model_credential_schema)
         filtered_credentials = validator.validate_and_filter(credentials)
 
-        # get model instance of the model type
-        model_instance = model_provider_instance.get_model_instance(model_type)
-
         # call validate_credentials method of model type to validate credentials, raise exception if validation failed
-        model_instance.validate_credentials(model, filtered_credentials)
+        self.plugin_model_manager.validate_model_credentials(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=plugin_model_provider_entity.plugin_id,
+            provider=plugin_model_provider_entity.provider,
+            model_type=model_type.value,
+            model=model,
+            credentials=filtered_credentials,
+        )
 
         return filtered_credentials
 
+    def get_model_schema(
+        self, *, provider: str, model_type: ModelType, model: str, credentials: dict
+    ) -> AIModelEntity | None:
+        """
+        Get model schema
+        """
+        plugin_id, provider_name = self.get_plugin_id_and_provider_name_from_provider(provider)
+        model_schema = self.plugin_model_manager.get_model_schema(
+            tenant_id=self.tenant_id,
+            user_id="unknown",
+            plugin_id=plugin_id,
+            provider=provider_name,
+            model_type=model_type.value,
+            model=model,
+            credentials=credentials,
+        )
+
+        return model_schema
+
     def get_models(
         self,
         *,
@@ -142,7 +235,7 @@ class ModelProviderFactory:
         provider_configs = provider_configs or []
 
         # scan all providers
-        model_provider_extensions = self._get_model_provider_map()
+        plugin_model_provider_entities = self.get_plugin_model_providers()
 
         # convert provider_configs to dict
         provider_credentials_dict = {}
@@ -151,16 +244,13 @@ class ModelProviderFactory:
 
         # traverse all model_provider_extensions
         providers = []
-        for name, model_provider_extension in model_provider_extensions.items():
+        for plugin_model_provider_entity in plugin_model_provider_entities:
             # filter by provider if provider is present
-            if provider and name != provider:
+            if provider and plugin_model_provider_entity.declaration.provider != provider:
                 continue
 
-            # get model_provider instance
-            model_provider_instance = model_provider_extension.provider_instance
-
             # get provider schema
-            provider_schema = model_provider_instance.get_provider_schema()
+            provider_schema = plugin_model_provider_entity.declaration
 
             model_types = provider_schema.supported_model_types
             if model_type:
@@ -170,13 +260,11 @@ class ModelProviderFactory:
                 model_types = [model_type]
 
             all_model_type_models = []
-            for model_type in model_types:
-                # get predefined models for given model type
-                models = model_provider_instance.models(
-                    model_type=model_type,
-                )
+            for model_schema in provider_schema.models:
+                if model_schema.model_type != model_type:
+                    continue
 
-                all_model_type_models.extend(models)
+                all_model_type_models.append(model_schema)
 
             simple_provider_schema = provider_schema.to_simple_provider()
             simple_provider_schema.models.extend(all_model_type_models)
@@ -185,95 +273,98 @@ class ModelProviderFactory:
 
         return providers
 
-    def get_provider_instance(self, provider: str) -> ModelProvider:
+    def get_model_type_instance(self, provider: str, model_type: ModelType) -> AIModel:
         """
-        Get provider instance by provider name
+        Get model type instance by provider name and model type
         :param provider: provider name
-        :return: provider instance
+        :param model_type: model type
+        :return: model type instance
         """
-        # scan all providers
-        model_provider_extensions = self._get_model_provider_map()
+        plugin_id, provider_name = self.get_plugin_id_and_provider_name_from_provider(provider)
+        init_params = {
+            "tenant_id": self.tenant_id,
+            "plugin_id": plugin_id,
+            "provider_name": provider_name,
+            "plugin_model_provider": self.get_plugin_model_provider(provider),
+        }
 
-        # get the provider extension
-        model_provider_extension = model_provider_extensions.get(provider)
-        if not model_provider_extension:
-            raise Exception(f"Invalid provider: {provider}")
+        if model_type == ModelType.LLM:
+            return LargeLanguageModel(**init_params)  # type: ignore
+        elif model_type == ModelType.TEXT_EMBEDDING:
+            return TextEmbeddingModel(**init_params)  # type: ignore
+        elif model_type == ModelType.RERANK:
+            return RerankModel(**init_params)  # type: ignore
+        elif model_type == ModelType.SPEECH2TEXT:
+            return Speech2TextModel(**init_params)  # type: ignore
+        elif model_type == ModelType.MODERATION:
+            return ModerationModel(**init_params)  # type: ignore
+        elif model_type == ModelType.TTS:
+            return TTSModel(**init_params)  # type: ignore
 
-        # get the provider instance
-        model_provider_instance = model_provider_extension.provider_instance
-
-        return model_provider_instance
-
-    def _get_model_provider_map(self) -> dict[str, ModelProviderExtension]:
+    def get_provider_icon(self, provider: str, icon_type: str, lang: str) -> tuple[bytes, str]:
         """
-        Retrieves the model provider map.
-
-        This method retrieves the model provider map, which is a dictionary containing the model provider names as keys
-        and instances of `ModelProviderExtension` as values. The model provider map is used to store information about
-        available model providers.
-
-        Returns:
-            A dictionary containing the model provider map.
-
-        Raises:
-            None.
+        Get provider icon
+        :param provider: provider name
+        :param icon_type: icon type (icon_small or icon_large)
+        :param lang: language (zh_Hans or en_US)
+        :return: provider icon
         """
-        if self.model_provider_extensions:
-            return self.model_provider_extensions
+        # get the provider schema
+        provider_schema = self.get_provider_schema(provider)
 
-        # get the path of current classes
-        current_path = os.path.abspath(__file__)
-        model_providers_path = os.path.dirname(current_path)
+        if icon_type.lower() == "icon_small":
+            if not provider_schema.icon_small:
+                raise ValueError(f"Provider {provider} does not have small icon.")
 
-        # get all folders path under model_providers_path that do not start with __
-        model_provider_dir_paths = [
-            os.path.join(model_providers_path, model_provider_dir)
-            for model_provider_dir in os.listdir(model_providers_path)
-            if not model_provider_dir.startswith("__")
-            and os.path.isdir(os.path.join(model_providers_path, model_provider_dir))
-        ]
+            if lang.lower() == "zh_hans":
+                file_name = provider_schema.icon_small.zh_Hans
+            else:
+                file_name = provider_schema.icon_small.en_US
+        else:
+            if not provider_schema.icon_large:
+                raise ValueError(f"Provider {provider} does not have large icon.")
 
-        # get _position.yaml file path
-        position_map = get_provider_position_map(model_providers_path)
+            if lang.lower() == "zh_hans":
+                file_name = provider_schema.icon_large.zh_Hans
+            else:
+                file_name = provider_schema.icon_large.en_US
 
-        # traverse all model_provider_dir_paths
-        model_providers: list[ModelProviderExtension] = []
-        for model_provider_dir_path in model_provider_dir_paths:
-            # get model_provider dir name
-            model_provider_name = os.path.basename(model_provider_dir_path)
+        if not file_name:
+            raise ValueError(f"Provider {provider} does not have icon.")
 
-            file_names = os.listdir(model_provider_dir_path)
+        image_mime_types = {
+            "jpg": "image/jpeg",
+            "jpeg": "image/jpeg",
+            "png": "image/png",
+            "gif": "image/gif",
+            "bmp": "image/bmp",
+            "tiff": "image/tiff",
+            "tif": "image/tiff",
+            "webp": "image/webp",
+            "svg": "image/svg+xml",
+            "ico": "image/vnd.microsoft.icon",
+            "heif": "image/heif",
+            "heic": "image/heic",
+        }
 
-            if (model_provider_name + ".py") not in file_names:
-                logger.warning(f"Missing {model_provider_name}.py file in {model_provider_dir_path}, Skip.")
-                continue
+        extension = file_name.split(".")[-1]
+        mime_type = image_mime_types.get(extension, "image/png")
 
-            # Dynamic loading {model_provider_name}.py file and find the subclass of ModelProvider
-            py_path = os.path.join(model_provider_dir_path, model_provider_name + ".py")
-            model_provider_class = load_single_subclass_from_source(
-                module_name=f"core.model_runtime.model_providers.{model_provider_name}.{model_provider_name}",
-                script_path=py_path,
-                parent_type=ModelProvider,
-            )
+        # get icon bytes from plugin asset manager
+        plugin_asset_manager = PluginAssetManager()
+        return plugin_asset_manager.fetch_asset(tenant_id=self.tenant_id, id=file_name), mime_type
 
-            if not model_provider_class:
-                logger.warning(f"Missing Model Provider Class that extends ModelProvider in {py_path}, Skip.")
-                continue
+    def get_plugin_id_and_provider_name_from_provider(self, provider: str) -> tuple[str, str]:
+        """
+        Get plugin id and provider name from provider name
+        :param provider: provider name
+        :return: plugin id and provider name
+        """
+        plugin_id = DEFAULT_PLUGIN_ID
+        provider_name = provider
+        if "/" in provider:
+            # get the plugin_id before provider
+            plugin_id = "/".join(provider.split("/")[:-1])
+            provider_name = provider.split("/")[-1]
 
-            if f"{model_provider_name}.yaml" not in file_names:
-                logger.warning(f"Missing {model_provider_name}.yaml file in {model_provider_dir_path}, Skip.")
-                continue
-
-            model_providers.append(
-                ModelProviderExtension(
-                    name=model_provider_name,
-                    provider_instance=model_provider_class(),
-                    position=position_map.get(model_provider_name),
-                )
-            )
-
-        sorted_extensions = sort_to_dict_by_position_map(position_map, model_providers, lambda x: x.name)
-
-        self.model_provider_extensions = sorted_extensions
-
-        return sorted_extensions
+        return str(plugin_id), provider_name
diff --git a/api/core/model_runtime/model_providers/moonshot/__init__.py b/api/core/model_runtime/model_providers/moonshot/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/moonshot/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/moonshot/_assets/icon_l_en.png
deleted file mode 100644
index a411526d3d69117dc37e7859666e639d3cda433e..0000000000000000000000000000000000000000
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diff --git a/api/core/model_runtime/model_providers/moonshot/llm/__init__.py b/api/core/model_runtime/model_providers/moonshot/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml b/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml
deleted file mode 100644
index 1810ec61d6..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml
+++ /dev/null
@@ -1,3 +0,0 @@
-- moonshot-v1-8k
-- moonshot-v1-32k
-- moonshot-v1-128k
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/llm.py b/api/core/model_runtime/model_providers/moonshot/llm/llm.py
deleted file mode 100644
index 33fa02f0bd..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/llm/llm.py
+++ /dev/null
@@ -1,327 +0,0 @@
-import json
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class MoonshotLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        self._add_function_call(model, credentials)
-        user = user[:32] if user else None
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model, zh_Hans=model),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "tool_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 4096)),
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
-
-    def _add_custom_parameters(self, credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            credentials["endpoint_url"] = "https://api.moonshot.cn/v1"
-
-    def _add_function_call(self, model: str, credentials: dict) -> None:
-        model_schema = self.get_model_schema(model, credentials)
-        if model_schema and {ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL}.intersection(
-            model_schema.features or []
-        ):
-            credentials["function_calling_type"] = "tool_call"
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI API format
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(PromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                message_dict["tool_calls"] = []
-                for function_call in message.tool_calls:
-                    message_dict["tool_calls"].append(
-                        {
-                            "id": function_call.id,
-                            "type": function_call.type,
-                            "function": {
-                                "name": function_call.function.name,
-                                "arguments": function_call.function.arguments,
-                            },
-                        }
-                    )
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call["function"]["name"]
-                    if response_tool_call.get("function", {}).get("name")
-                    else "",
-                    arguments=response_tool_call["function"]["arguments"]
-                    if response_tool_call.get("function", {}).get("arguments")
-                    else "",
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call["id"] if response_tool_call.get("id") else "",
-                    type=response_tool_call["type"] if response_tool_call.get("type") else "",
-                    function=function,
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: streamed response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        chunk_index = 0
-
-        def create_final_llm_result_chunk(
-            index: int, message: AssistantPromptMessage, finish_reason: str
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-            )
-
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-        finish_reason = "Unknown"
-
-        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
-            def get_tool_call(tool_name: str):
-                if not tool_name:
-                    return tools_calls[-1]
-
-                tool_call = next((tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None)
-                if tool_call is None:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id="",
-                        type="",
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""),
-                    )
-                    tools_calls.append(tool_call)
-
-                return tool_call
-
-            for new_tool_call in new_tool_calls:
-                # get tool call
-                tool_call = get_tool_call(new_tool_call.function.name)
-                # update tool call
-                if new_tool_call.id:
-                    tool_call.id = new_tool_call.id
-                if new_tool_call.type:
-                    tool_call.type = new_tool_call.type
-                if new_tool_call.function.name:
-                    tool_call.function.name = new_tool_call.function.name
-                if new_tool_call.function.arguments:
-                    tool_call.function.arguments += new_tool_call.function.arguments
-
-        for chunk in response.iter_lines(decode_unicode=True, delimiter="\n\n"):
-            if chunk:
-                # ignore sse comments
-                if chunk.startswith(":"):
-                    continue
-                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
-                chunk_json = None
-                try:
-                    chunk_json = json.loads(decoded_chunk)
-                # stream ended
-                except json.JSONDecodeError as e:
-                    yield create_final_llm_result_chunk(
-                        index=chunk_index + 1,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason="Non-JSON encountered.",
-                    )
-                    break
-                if not chunk_json or len(chunk_json["choices"]) == 0:
-                    continue
-
-                choice = chunk_json["choices"][0]
-                finish_reason = chunk_json["choices"][0].get("finish_reason")
-                chunk_index += 1
-
-                if "delta" in choice:
-                    delta = choice["delta"]
-                    delta_content = delta.get("content")
-
-                    assistant_message_tool_calls = delta.get("tool_calls", None)
-                    # assistant_message_function_call = delta.delta.function_call
-
-                    # extract tool calls from response
-                    if assistant_message_tool_calls:
-                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        increase_tool_call(tool_calls)
-
-                    if delta_content is None or delta_content == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=delta_content, tool_calls=tool_calls if assistant_message_tool_calls else []
-                    )
-
-                    full_assistant_content += delta_content
-                elif "text" in choice:
-                    choice_text = choice.get("text", "")
-                    if choice_text == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
-                    full_assistant_content += choice_text
-                else:
-                    continue
-
-                # check payload indicator for completion
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-        if tools_calls:
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
-                ),
-            )
-
-        yield create_final_llm_result_chunk(
-            index=chunk_index, message=AssistantPromptMessage(content=""), finish_reason=finish_reason
-        )
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml
deleted file mode 100644
index 59c0915ee9..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: moonshot-v1-128k
-label:
-  zh_Hans: moonshot-v1-128k
-  en_US: moonshot-v1-128k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 128000
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.06'
-  output: '0.06'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml
deleted file mode 100644
index 724f2aa5a2..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: moonshot-v1-32k
-label:
-  zh_Hans: moonshot-v1-32k
-  en_US: moonshot-v1-32k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.024'
-  output: '0.024'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml
deleted file mode 100644
index 5872295bfa..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: moonshot-v1-8k
-label:
-  zh_Hans: moonshot-v1-8k
-  en_US: moonshot-v1-8k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.012'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/moonshot/moonshot.py b/api/core/model_runtime/model_providers/moonshot/moonshot.py
deleted file mode 100644
index 4995e235f5..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/moonshot.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class MoonshotProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="moonshot-v1-8k", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/moonshot/moonshot.yaml b/api/core/model_runtime/model_providers/moonshot/moonshot.yaml
deleted file mode 100644
index 41e9c2e808..0000000000
--- a/api/core/model_runtime/model_providers/moonshot/moonshot.yaml
+++ /dev/null
@@ -1,89 +0,0 @@
-provider: moonshot
-label:
-  zh_Hans: 月之暗面
-  en_US: Moonshot
-description:
-  en_US: Models provided by Moonshot, such as moonshot-v1-8k, moonshot-v1-32k, and moonshot-v1-128k.
-  zh_Hans: Moonshot 提供的模型，例如 moonshot-v1-8k、moonshot-v1-32k 和 moonshot-v1-128k。
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#FFFFFF"
-help:
-  title:
-    en_US: Get your API Key from Moonshot
-    zh_Hans: 从 Moonshot 获取 API Key
-  url:
-    en_US: https://platform.moonshot.cn/console/api-keys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        en_US: API Base
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: Base URL, 如：https://api.moonshot.cn/v1
-        en_US: Base URL, e.g. https://api.moonshot.cn/v1
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '4096'
-      type: text-input
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not supported
-            zh_Hans: 不支持
-        - value: tool_call
-          label:
-            en_US: Tool Call
-            zh_Hans: Tool Call
diff --git a/api/core/model_runtime/model_providers/nomic/__init__.py b/api/core/model_runtime/model_providers/nomic/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nomic/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/nomic/_assets/icon_l_en.svg
deleted file mode 100644
index 6c4a1058ab..0000000000
--- a/api/core/model_runtime/model_providers/nomic/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,13 +0,0 @@
-<svg width="93" height="31" viewBox="0 0 93 31" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M89.6037 29.888C88.9464 29.888 88.3667 29.7302 87.8647 29.4145C87.3626 29.0936 86.9719 28.6407 86.6924 28.0559L87.2979 27.4037C87.5464 27.9109 87.8698 28.3069 88.2684 28.5915C88.6669 28.871 89.1094 29.0108 89.5959 29.0108C89.922 29.0108 90.2196 28.9435 90.4887 28.8089C90.763 28.6744 90.9804 28.4829 91.1408 28.2344C91.3064 27.9808 91.3892 27.6806 91.3892 27.3339C91.3892 27.0182 91.3116 26.7697 91.1563 26.5886C91.0062 26.4074 90.7837 26.2522 90.4887 26.1228C90.1988 25.9882 89.8366 25.8381 89.4018 25.6725C89.0654 25.5379 88.7393 25.3853 88.4236 25.2145C88.1079 25.0437 87.8465 24.8289 87.6395 24.5701C87.4377 24.3061 87.3367 23.9723 87.3367 23.5686C87.3367 23.1598 87.4454 22.7975 87.6628 22.4817C87.8802 22.1609 88.1804 21.9098 88.5634 21.7287C88.9464 21.5424 89.3811 21.4492 89.8676 21.4492C90.3127 21.4492 90.7293 21.545 91.1175 21.7365C91.5109 21.928 91.8628 22.1997 92.1733 22.5516L91.6532 23.2115C91.177 22.5853 90.5844 22.2721 89.8754 22.2721C89.4406 22.2721 89.0861 22.386 88.8118 22.6137C88.5427 22.8415 88.4081 23.1391 88.4081 23.5065C88.4081 23.7705 88.4935 23.9904 88.6643 24.1664C88.8351 24.3424 89.0576 24.4925 89.3319 24.6167C89.6114 24.7409 89.9116 24.8651 90.2325 24.9893C90.6983 25.1653 91.102 25.3413 91.4436 25.5172C91.7903 25.6932 92.0595 25.9183 92.251 26.1927C92.4425 26.4618 92.5382 26.8293 92.5382 27.2951C92.5382 27.8281 92.414 28.2888 92.1656 28.6769C91.9171 29.0651 91.5704 29.3653 91.1253 29.5775C90.6854 29.7845 90.1781 29.888 89.6037 29.888Z" fill="#3C593D"/>
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diff --git a/api/core/model_runtime/model_providers/nomic/_assets/icon_s_en.png b/api/core/model_runtime/model_providers/nomic/_assets/icon_s_en.png
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/nomic/_common.py b/api/core/model_runtime/model_providers/nomic/_common.py
deleted file mode 100644
index 406577dcd7..0000000000
--- a/api/core/model_runtime/model_providers/nomic/_common.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonNomic:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError, InvokeBadRequestError],
-        }
diff --git a/api/core/model_runtime/model_providers/nomic/nomic.py b/api/core/model_runtime/model_providers/nomic/nomic.py
deleted file mode 100644
index d4e5da2e98..0000000000
--- a/api/core/model_runtime/model_providers/nomic/nomic.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class NomicAtlasProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING)
-            model_instance.validate_credentials(model="nomic-embed-text-v1.5", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/nomic/nomic.yaml b/api/core/model_runtime/model_providers/nomic/nomic.yaml
deleted file mode 100644
index 60dcf1facb..0000000000
--- a/api/core/model_runtime/model_providers/nomic/nomic.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-provider: nomic
-label:
-  zh_Hans: Nomic Atlas
-  en_US: Nomic Atlas
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.svg
-background: "#EFF1FE"
-help:
-  title:
-    en_US: Get your API key from Nomic Atlas
-    zh_Hans: 从Nomic Atlas获取 API Key
-  url:
-    en_US: https://atlas.nomic.ai/data
-supported_model_types:
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: nomic_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/__init__.py b/api/core/model_runtime/model_providers/nomic/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml b/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml
deleted file mode 100644
index 111452df57..0000000000
--- a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: nomic-embed-text-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: "0.1"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml b/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml
deleted file mode 100644
index ac59f106ed..0000000000
--- a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: nomic-embed-text-v1
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: "0.1"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py
deleted file mode 100644
index 8a4c19d4d8..0000000000
--- a/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,165 +0,0 @@
-import time
-from functools import wraps
-from typing import Optional
-
-from nomic import embed  # type: ignore
-from nomic import login as nomic_login  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import (
-    EmbeddingUsage,
-    TextEmbeddingResult,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import (
-    TextEmbeddingModel,
-)
-from core.model_runtime.model_providers.nomic._common import _CommonNomic
-
-
-def nomic_login_required(func):
-    @wraps(func)
-    def wrapper(*args, **kwargs):
-        try:
-            if not kwargs.get("credentials"):
-                raise ValueError("missing credentials parameters")
-            credentials = kwargs.get("credentials")
-            if "nomic_api_key" not in credentials:
-                raise ValueError("missing nomic_api_key in credentials parameters")
-            # nomic login
-            nomic_login(credentials["nomic_api_key"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-        return func(*args, **kwargs)
-
-    return wrapper
-
-
-class NomicTextEmbeddingModel(_CommonNomic, TextEmbeddingModel):
-    """
-    Model class for nomic text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        embeddings, prompt_tokens, total_tokens = self.embed_text(
-            model=model,
-            credentials=credentials,
-            texts=texts,
-        )
-
-        # calc usage
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, tokens=prompt_tokens, total_tokens=total_tokens
-        )
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # call embedding model
-            self.embed_text(model=model, credentials=credentials, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @nomic_login_required
-    def embed_text(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int, int]:
-        """Call out to Nomic's embedding endpoint.
-
-        Args:
-            model: The model to use for embedding.
-            texts: The list of texts to embed.
-
-        Returns:
-            List of embeddings, one for each text, and tokens usage.
-        """
-        embeddings: list[list[float]] = []
-        prompt_tokens = 0
-        total_tokens = 0
-
-        response = embed.text(
-            model=model,
-            texts=texts,
-        )
-
-        if not (response and "embeddings" in response):
-            raise ValueError("Embedding data is missing in the response.")
-
-        if not (response and "usage" in response):
-            raise ValueError("Response usage is missing.")
-
-        if "prompt_tokens" not in response["usage"]:
-            raise ValueError("Response usage does not contain prompt tokens.")
-
-        if "total_tokens" not in response["usage"]:
-            raise ValueError("Response usage does not contain total tokens.")
-
-        embeddings = [list(map(float, e)) for e in response["embeddings"]]
-        total_tokens = response["usage"]["total_tokens"]
-        prompt_tokens = response["usage"]["prompt_tokens"]
-        return embeddings, prompt_tokens, total_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int, total_tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: prompt tokens
-        :param total_tokens: total tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model,
-            credentials=credentials,
-            price_type=PriceType.INPUT,
-            tokens=tokens,
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=total_tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg
deleted file mode 100644
index c27089a2ac..0000000000
--- a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg width="88" height="24" viewBox="0 0 88 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g clip-path="url(#clip0_1923_1287)">
-<path d="M24 18.8323V18.8326H14.3246L9.16716 13.6751V18.8326H0V18.8314L9.16716 9.66422V4H9.16774L24 18.8323Z" fill="black"/>
-</g>
-<path fill-rule="evenodd" clip-rule="evenodd" d="M73.2505 16.8061H76.5869V18.9145H73.9391C72.0857 18.9145 70.9202 17.8952 70.9202 15.9977V10.3921H69.0316V8.26609H70.9202L71.4677 5.47209H73.2329V8.26609H76.5869V10.3921H73.2505V16.8061ZM33.8133 4.85699L38.6679 15.681H38.809V4.85699H41.3333V18.9145H37.52L32.6654 8.09046H32.5243V18.9145H30V4.85699H33.8133ZM47.812 19.1254C44.7225 19.1254 42.7457 16.9641 42.7457 13.6079C42.7457 10.2517 44.6873 8.05518 47.812 8.05518C50.9367 8.05518 52.8429 10.1635 52.8429 13.6079C52.8429 17.0523 50.9014 19.1254 47.812 19.1254ZM47.812 17.017C49.1891 17.017 50.3363 16.5423 50.3715 15.1894V12.0265C50.3715 10.6383 49.2068 10.1635 47.812 10.1635C46.4172 10.1635 45.2171 10.6383 45.2171 12.0265V15.1894C45.2524 16.5599 46.4348 17.017 47.812 17.017ZM55.5444 8.24846L58.2979 16.6826H58.439L61.1926 8.24846H63.7346L59.9389 18.8968H56.7966L53.0186 8.24846H55.5429H55.5444ZM65.0419 8.26609H67.3722V18.9145H65.0419V8.26609ZM64.9001 4.85699H67.5126V6.86027H64.9001V4.85699ZM82.3064 19.143C79.4639 19.143 77.6458 16.9817 77.6458 13.6079C77.6458 10.2341 79.4286 8.07282 82.3064 8.07282C83.6483 8.07282 84.7425 8.59973 85.3958 9.58373H85.5369L85.9962 8.26609H87.7614V18.9145H85.9962L85.5369 17.6314H85.3958C84.6896 18.5625 83.5072 19.1423 82.3064 19.1423V19.143ZM82.7826 17.017C84.1774 17.017 85.3951 16.5776 85.4304 15.1894V12.0265C85.4304 10.603 84.159 10.1988 82.7297 10.1988C81.3004 10.1988 80.1172 10.6383 80.1172 12.0265V15.1894C80.1525 16.5952 81.3709 17.017 82.7826 17.017Z" fill="black"/>
-<defs>
-<clipPath id="clip0_1923_1287">
-<rect width="24" height="14.8326" fill="white" transform="translate(0 4)"/>
-</clipPath>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg
deleted file mode 100644
index ae2d4815c4..0000000000
--- a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="24" height="15" viewBox="0 0 24 15" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M24 14.8323V14.8326H14.3246L9.16716 9.67507V14.8326H0V14.8314L9.16716 5.66422V0H9.16774L24 14.8323Z" fill="black"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
deleted file mode 100644
index 34e0374770..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: Sao10K/L3-8B-Stheno-v3.2
-label:
-  zh_Hans: L3 8B Stheno V3.2
-  en_US: L3 8B Stheno V3.2
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0005'
-  output: '0.0005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/_position.yaml b/api/core/model_runtime/model_providers/novita/llm/_position.yaml
deleted file mode 100644
index 9550dcba62..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/_position.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-# Deepseek Models
-- deepseek/deepseek-r1
-- deepseek/deepseek_v3
-
-# LLaMA Models
-- meta-llama/llama-3.3-70b-instruct
-- meta-llama/llama-3.2-11b-vision-instruct
-- meta-llama/llama-3.2-3b-instruct
-- meta-llama/llama-3.2-1b-instruct
-- meta-llama/llama-3.1-70b-instruct
-- meta-llama/llama-3.1-8b-instruct
-- meta-llama/llama-3.1-8b-instruct-max
-- meta-llama/llama-3.1-8b-instruct-bf16
-- meta-llama/llama-3-70b-instruct
-- meta-llama/llama-3-8b-instruct
-
-# Mistral Models
-- mistralai/mistral-nemo
-- mistralai/mistral-7b-instruct
-
-# Qwen Models
-- qwen/qwen-2.5-72b-instruct
-- qwen/qwen-2-72b-instruct
-- qwen/qwen-2-vl-72b-instruct
-- qwen/qwen-2-7b-instruct
-
-# Other Models
-- sao10k/L3-8B-Stheno-v3.2
-- sao10k/l3-70b-euryale-v2.1
-- sao10k/l31-70b-euryale-v2.2
-- sao10k/l3-8b-lunaris
-- jondurbin/airoboros-l2-70b
-- cognitivecomputations/dolphin-mixtral-8x22b
-- google/gemma-2-9b-it
-- nousresearch/hermes-2-pro-llama-3-8b
-- sophosympatheia/midnight-rose-70b
-- gryphe/mythomax-l2-13b
-- nousresearch/nous-hermes-llama2-13b
-- openchat/openchat-7b
-- teknium/openhermes-2.5-mistral-7b
-- microsoft/wizardlm-2-8x22b
diff --git a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml
deleted file mode 100644
index bcf9fa1b44..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: jondurbin/airoboros-l2-70b
-label:
-  zh_Hans: Airoboros L2 70B
-  en_US: Airoboros L2 70B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.005'
-  output: '0.005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml
deleted file mode 100644
index ce80aa8243..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: deepseek/deepseek-r1
-label:
-  zh_Hans: DeepSeek R1
-  en_US: DeepSeek R1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.04'
-  output: '0.04'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
deleted file mode 100644
index 261a0a67c2..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: deepseek/deepseek_v3
-label:
-  zh_Hans: DeepSeek V3
-  en_US: DeepSeek V3
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0089'
-  output: '0.0089'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml
deleted file mode 100644
index 708c51aeb5..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: cognitivecomputations/dolphin-mixtral-8x22b
-label:
-  zh_Hans: Dolphin Mixtral 8x22B
-  en_US: Dolphin Mixtral 8x22B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.009'
-  output: '0.009'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml b/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml
deleted file mode 100644
index f23e369498..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: google/gemma-2-9b-it
-label:
-  zh_Hans: Gemma 2 9B
-  en_US: Gemma 2 9B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0008'
-  output: '0.0008'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml b/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml
deleted file mode 100644
index 4b5fe4ab95..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: nousresearch/hermes-2-pro-llama-3-8b
-label:
-  zh_Hans: Hermes 2 Pro Llama 3 8B
-  en_US: Hermes 2 Pro Llama 3 8B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0014'
-  output: '0.0014'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml
deleted file mode 100644
index f294c2e452..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: sao10k/l3-70b-euryale-v2.1
-label:
-  zh_Hans: "L3 70B Euryale V2.1\t"
-  en_US: "L3 70B Euryale V2.1\t"
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0148'
-  output: '0.0148'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
deleted file mode 100644
index d22ecaedf9..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: sao10k/l3-8b-lunaris
-label:
-  zh_Hans: "Sao10k L3 8B Lunaris"
-  en_US: "Sao10k L3 8B Lunaris"
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0005'
-  output: '0.0005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
deleted file mode 100644
index 19cfe31a06..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: sao10k/l31-70b-euryale-v2.2
-label:
-  zh_Hans: L31 70B Euryale V2.2
-  en_US: L31 70B Euryale V2.2
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0148'
-  output: '0.0148'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml
deleted file mode 100644
index 1c6a78257b..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3-70b-instruct
-label:
-  zh_Hans: Llama3 70b Instruct
-  en_US: Llama3 70b Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0051'
-  output: '0.0074'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
deleted file mode 100644
index 98ca0ff571..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3-8b-instruct
-label:
-  zh_Hans: Llama 3 8B Instruct
-  en_US: Llama 3 8B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0004'
-  output: '0.0004'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
deleted file mode 100644
index be374abad3..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.1-70b-instruct
-label:
-  zh_Hans: Llama 3.1 70B Instruct
-  en_US: Llama 3.1 70B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0034'
-  output: '0.0039'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
deleted file mode 100644
index b172084fff..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.1-8b-instruct-bf16
-label:
-  zh_Hans: Llama 3.1 8B Instruct BF16
-  en_US: Llama 3.1 8B Instruct BF16
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0006'
-  output: '0.0006'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
deleted file mode 100644
index 1ddd8e2d44..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.1-8b-instruct-max
-label:
-  zh_Hans: "Llama3.1 8B Instruct Max\t"
-  en_US: "Llama3.1 8B Instruct Max\t"
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0005'
-  output: '0.0005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
deleted file mode 100644
index a4ca86df9f..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.1-8b-instruct
-label:
-  zh_Hans: Llama 3.1 8B Instruct
-  en_US: Llama 3.1 8B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0005'
-  output: '0.0005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
deleted file mode 100644
index f33fa6e507..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.2-11b-vision-instruct
-label:
-  zh_Hans: "Llama 3.2 11B Vision Instruct\t"
-  en_US: "Llama 3.2 11B Vision Instruct\t"
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0006'
-  output: '0.0006'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
deleted file mode 100644
index f09750f8ca..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.2-1b-instruct
-label:
-  zh_Hans: "Llama 3.2 1B Instruct\t"
-  en_US: "Llama 3.2 1B Instruct\t"
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0002'
-  output: '0.0002'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
deleted file mode 100644
index 7a19ef475a..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.2-3b-instruct
-label:
-  zh_Hans: Llama 3.2 3B Instruct
-  en_US: Llama 3.2 3B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0003'
-  output: '0.0005'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
deleted file mode 100644
index efdc2cc9ee..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: meta-llama/llama-3.3-70b-instruct
-label:
-  zh_Hans: Llama 3.3 70B Instruct
-  en_US: Llama 3.3 70B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0039'
-  output: '0.0039'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/llm.py b/api/core/model_runtime/model_providers/novita/llm/llm.py
deleted file mode 100644
index 23367ed1b4..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/llm.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class NovitaLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _update_endpoint_url(self, credentials: dict):
-        credentials["endpoint_url"] = "https://api.novita.ai/v3/openai"
-        credentials["extra_headers"] = {"X-Novita-Source": "dify.ai"}
-        return credentials
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-        return super()._invoke(model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-        self._add_custom_parameters(credentials, model)
-        return super().validate_credentials(model, cred_with_endpoint)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict, model: str) -> None:
-        credentials["mode"] = "chat"
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-        return super()._generate(
-            model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user
-        )
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super().get_customizable_model_schema(model, cred_with_endpoint)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super().get_num_tokens(model, cred_with_endpoint, prompt_messages, tools)
diff --git a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml
deleted file mode 100644
index 26f06868a9..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: sophosympatheia/midnight-rose-70b
-label:
-  zh_Hans: Midnight Rose 70B
-  en_US: Midnight Rose 70B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.008'
-  output: '0.008'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml
deleted file mode 100644
index 237542554f..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: mistralai/mistral-7b-instruct
-label:
-  zh_Hans: Mistral 7B Instruct
-  en_US: Mistral 7B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.00059'
-  output: '0.00059'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
deleted file mode 100644
index 6f1167385f..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: mistralai/mistral-nemo
-label:
-  zh_Hans: Mistral Nemo
-  en_US: Mistral Nemo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0017'
-  output: '0.0017'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
deleted file mode 100644
index 4c32e106a0..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: gryphe/mythomax-l2-13b
-label:
-  zh_Hans: Mythomax L2 13B
-  en_US: Mythomax L2 13B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0009'
-  output: '0.0009'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml
deleted file mode 100644
index 21a5ee8c0b..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: nousresearch/nous-hermes-llama2-13b
-label:
-  zh_Hans: Nous Hermes Llama2 13B
-  en_US: Nous Hermes Llama2 13B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0017'
-  output: '0.0017'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
deleted file mode 100644
index b21ea30153..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: openchat/openchat-7b
-label:
-  zh_Hans: OpenChat 7B
-  en_US: OpenChat 7B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0006'
-  output: '0.0006'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml
deleted file mode 100644
index 272a4ed868..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: teknium/openhermes-2.5-mistral-7b
-label:
-  zh_Hans: Openhermes2.5 Mistral 7B
-  en_US: Openhermes2.5 Mistral 7B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0017'
-  output: '0.0017'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
deleted file mode 100644
index 069f9096bc..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: qwen/qwen-2-72b-instruct
-label:
-  zh_Hans: Qwen2 72B Instruct
-  en_US: Qwen2 72B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0034'
-  output: '0.0039'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
deleted file mode 100644
index afc627f193..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: qwen/qwen-2-7b-instruct
-label:
-  zh_Hans: Qwen 2 7B Instruct
-  en_US: Qwen 2 7B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.00054'
-  output: '0.00054'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
deleted file mode 100644
index 06bdf0c837..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: qwen/qwen-2-vl-72b-instruct
-label:
-  zh_Hans: Qwen 2 VL 72B Instruct
-  en_US: Qwen 2 VL 72B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0045'
-  output: '0.0045'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
deleted file mode 100644
index 97f5af35b7..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: qwen/qwen-2.5-72b-instruct
-label:
-  zh_Hans: Qwen 2.5 72B Instruct
-  en_US: Qwen 2.5 72B Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0038'
-  output: '0.004'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
deleted file mode 100644
index 126670dda6..0000000000
--- a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-model: microsoft/wizardlm-2-8x22b
-label:
-  zh_Hans: Wizardlm 2 8x22B
-  en_US: Wizardlm 2 8x22B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 65535
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 2
-    default: 1
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 512
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-pricing:
-  input: '0.0062'
-  output: '0.0062'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/novita/novita.py b/api/core/model_runtime/model_providers/novita/novita.py
deleted file mode 100644
index 76a75b01e2..0000000000
--- a/api/core/model_runtime/model_providers/novita/novita.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class NovitaProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `meta-llama/llama-3-8b-instruct` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="meta-llama/llama-3-8b-instruct", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/novita/novita.yaml b/api/core/model_runtime/model_providers/novita/novita.yaml
deleted file mode 100644
index 223085453d..0000000000
--- a/api/core/model_runtime/model_providers/novita/novita.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: novita
-label:
-  en_US: Novita AI
-description:
-  en_US: An LLM API that matches various application scenarios with high cost-effectiveness.
-  zh_Hans: 适配多种海外应用场景的高性价比 LLM API
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#c7fce2"
-help:
-  title:
-    en_US: Get your API key from Novita AI
-    zh_Hans: 从 Novita AI 获取 API Key
-  url:
-    en_US: https://novita.ai/settings/key-management?utm_source=dify&utm_medium=ch&utm_campaign=api
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/nvidia/__init__.py b/api/core/model_runtime/model_providers/nvidia/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nvidia/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/nvidia/_assets/icon_l_en.png
deleted file mode 100644
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@@ -1,3 +0,0 @@
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-<path d="M58.0366 161.868C58.0366 161.868 109.261 86.2912 211.538 78.4724V51.053C98.2528 60.1511 0.152344 156.098 0.152344 156.098C0.152344 156.098 55.7148 316.717 211.538 331.426V302.282C97.1876 287.896 58.0366 161.868 58.0366 161.868ZM211.538 244.32V271.013C125.114 255.603 101.125 165.768 101.125 165.768C101.125 165.768 142.621 119.799 211.538 112.345V141.633C211.486 141.633 211.449 141.617 211.406 141.617C175.235 137.276 146.978 171.067 146.978 171.067C146.978 171.067 162.816 227.949 211.538 244.32ZM211.538 0.47998V51.053C214.864 50.7981 218.189 50.5818 221.533 50.468C350.326 46.1273 434.243 156.098 434.243 156.098C434.243 156.098 337.861 273.296 237.448 273.296C228.245 273.296 219.63 272.443 211.538 271.009V302.282C218.695 303.201 225.903 303.667 233.119 303.675C326.56 303.675 394.134 255.954 459.566 199.474C470.415 208.162 514.828 229.299 523.958 238.55C461.745 290.639 316.752 332.626 234.551 332.626C226.627 332.626 219.018 332.148 211.538 331.426V375.369H566.701V0.47998H211.538ZM211.538 112.345V78.4724C214.829 78.2425 218.146 78.0672 221.533 77.9602C314.148 75.0512 374.909 157.548 374.909 157.548C374.909 157.548 309.281 248.693 238.914 248.693C228.787 248.693 219.707 247.065 211.536 244.318V141.631C247.591 145.987 254.848 161.914 276.524 198.049L324.737 157.398C324.737 157.398 289.544 111.243 230.219 111.243C223.768 111.241 217.597 111.696 211.538 112.345Z" fill="#77B900"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml b/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
deleted file mode 100644
index 36ec25fa2d..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
+++ /dev/null
@@ -1,18 +0,0 @@
-- deepseek-ai/deepseek-r1
-- google/gemma-7b
-- google/codegemma-7b
-- google/recurrentgemma-2b
-- meta/llama2-70b
-- meta/llama-3.1-8b-instruct
-- meta/llama-3.1-70b-instruct
-- meta/llama-3.1-405b-instruct
-- meta/llama3-8b-instruct
-- meta/llama3-70b-instruct
-- mistralai/mistral-large
-- mistralai/mixtral-8x7b-instruct-v0.1
-- mistralai/mixtral-8x22b-instruct-v0.1
-- nvidia/nemotron-4-340b-instruct
-- microsoft/phi-3-medium-128k-instruct
-- microsoft/phi-3-mini-128k-instruct
-- fuyu-8b
-- snowflake/arctic
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml b/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml
deleted file mode 100644
index 7f53ae58e6..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: snowflake/arctic
-label:
-  zh_Hans: snowflake/arctic
-  en_US: snowflake/arctic
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml
deleted file mode 100644
index 57446224a8..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: google/codegemma-7b
-label:
-  zh_Hans: google/codegemma-7b
-  en_US: google/codegemma-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml
deleted file mode 100644
index 159941eca4..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-model: deepseek-ai/deepseek-r1
-label:
-  en_US: deepseek-ai/deepseek-r1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml
deleted file mode 100644
index 6ae524c6d8..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-model: fuyu-8b
-label:
-  zh_Hans: fuyu-8b
-  en_US: fuyu-8b
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 16000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.2
-    min: 0.1
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    min: 0.1
-    max: 1
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml
deleted file mode 100644
index 794b820bf4..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: google/gemma-7b
-label:
-  zh_Hans: google/gemma-7b
-  en_US: google/gemma-7b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml
deleted file mode 100644
index 5472de9902..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama-3.1-405b-instruct
-label:
-  zh_Hans: meta/llama-3.1-405b-instruct
-  en_US: meta/llama-3.1-405b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalt
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml
deleted file mode 100644
index 16af0554a1..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama-3.1-70b-instruct
-label:
-  zh_Hans: meta/llama-3.1-70b-instruct
-  en_US: meta/llama-3.1-70b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml
deleted file mode 100644
index f2d43dc30e..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama-3.1-8b-instruct
-label:
-  zh_Hans: meta/llama-3.1-8b-instruct
-  en_US: meta/llama-3.1-8b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml
deleted file mode 100644
index 9fba816b7f..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama2-70b
-label:
-  zh_Hans: meta/llama2-70b
-  en_US: meta/llama2-70b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml
deleted file mode 100644
index 4d591d4226..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama3-70b-instruct
-label:
-  zh_Hans: meta/llama3-70b-instruct
-  en_US: meta/llama3-70b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml
deleted file mode 100644
index 0139566674..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: meta/llama3-8b-instruct
-label:
-  zh_Hans: meta/llama3-8b-instruct
-  en_US: meta/llama3-8b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llm.py b/api/core/model_runtime/model_providers/nvidia/llm/llm.py
deleted file mode 100644
index fb57202798..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/llm.py
+++ /dev/null
@@ -1,247 +0,0 @@
-import json
-from collections.abc import Generator
-from typing import Optional, Union
-
-import requests
-from yarl import URL
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageFunction,
-    PromptMessageTool,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-from core.model_runtime.utils import helper
-
-
-class NVIDIALargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    MODEL_SUFFIX_MAP = {
-        "fuyu-8b": "vlm/adept/fuyu-8b",
-        "mistralai/mistral-large": "",
-        "mistralai/mixtral-8x7b-instruct-v0.1": "",
-        "mistralai/mixtral-8x22b-instruct-v0.1": "",
-        "google/gemma-7b": "",
-        "google/codegemma-7b": "",
-        "snowflake/arctic": "",
-        "meta/llama2-70b": "",
-        "meta/llama3-8b-instruct": "",
-        "meta/llama3-70b-instruct": "",
-        "meta/llama-3.1-8b-instruct": "",
-        "meta/llama-3.1-70b-instruct": "",
-        "meta/llama-3.1-405b-instruct": "",
-        "google/recurrentgemma-2b": "",
-        "nvidia/nemotron-4-340b-instruct": "",
-        "microsoft/phi-3-medium-128k-instruct": "",
-        "microsoft/phi-3-mini-128k-instruct": "",
-    }
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials, model)
-        prompt_messages = self._transform_prompt_messages(prompt_messages)
-        stop = []
-        user = None
-
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _transform_prompt_messages(self, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
-        """
-        Handle Image transform
-        """
-        for i, p in enumerate(prompt_messages):
-            if isinstance(p, UserPromptMessage) and isinstance(p.content, list):
-                content = p.content
-                content_text = ""
-                for prompt_content in content:
-                    if prompt_content.type == PromptMessageContentType.TEXT:
-                        content_text += prompt_content.data
-                    else:
-                        content_text += f' <img src="{prompt_content.data}" />'
-
-                prompt_message = UserPromptMessage(content=content_text)
-                prompt_messages[i] = prompt_message
-        return prompt_messages
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials, model)
-        self._validate_credentials(model, credentials)
-
-    def _add_custom_parameters(self, credentials: dict, model: str) -> None:
-        credentials["mode"] = "chat"
-
-        if self.MODEL_SUFFIX_MAP.get(model):
-            credentials["server_url"] = f"https://ai.api.nvidia.com/v1/{self.MODEL_SUFFIX_MAP[model]}"
-            credentials.pop("endpoint_url")
-        else:
-            credentials["endpoint_url"] = "https://integrate.api.nvidia.com/v1"
-
-        credentials["stream_mode_delimiter"] = "\n"
-
-    def _validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials using requests to ensure compatibility with all providers following
-        OpenAI's API standard.
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            headers = {"Content-Type": "application/json"}
-
-            api_key = credentials.get("api_key")
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            endpoint_url = credentials.get("endpoint_url")
-            if endpoint_url and not endpoint_url.endswith("/"):
-                endpoint_url += "/"
-            server_url = credentials.get("server_url")
-
-            # prepare the payload for a simple ping to the model
-            data = {"model": model, "max_tokens": 5}
-
-            completion_type = LLMMode.value_of(credentials["mode"])
-
-            if completion_type is LLMMode.CHAT:
-                data["messages"] = [
-                    {"role": "user", "content": "ping"},
-                ]
-                if "endpoint_url" in credentials:
-                    endpoint_url = str(URL(endpoint_url) / "chat" / "completions")
-                elif "server_url" in credentials:
-                    endpoint_url = server_url
-            elif completion_type is LLMMode.COMPLETION:
-                data["prompt"] = "ping"
-                if "endpoint_url" in credentials:
-                    endpoint_url = str(URL(endpoint_url) / "completions")
-                elif "server_url" in credentials:
-                    endpoint_url = server_url
-            else:
-                raise ValueError("Unsupported completion type for model configuration.")
-
-            # send a post request to validate the credentials
-            response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300))
-
-            if response.status_code != 200:
-                raise CredentialsValidateFailedError(
-                    f"Credentials validation failed with status code {response.status_code}"
-                )
-
-            try:
-                json_result = response.json()
-            except json.JSONDecodeError as e:
-                raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error")
-        except CredentialsValidateFailedError:
-            raise
-        except Exception as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}")
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm completion model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        headers = {
-            "Content-Type": "application/json",
-            "Accept-Charset": "utf-8",
-        }
-
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        if stream:
-            headers["Accept"] = "text/event-stream"
-
-        endpoint_url = credentials.get("endpoint_url")
-        if endpoint_url and not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-        server_url = credentials.get("server_url")
-
-        data = {"model": model, "stream": stream, **model_parameters}
-
-        completion_type = LLMMode.value_of(credentials["mode"])
-
-        if completion_type is LLMMode.CHAT:
-            if "endpoint_url" in credentials:
-                endpoint_url = str(URL(endpoint_url) / "chat" / "completions")
-            elif "server_url" in credentials:
-                endpoint_url = server_url
-            data["messages"] = [self._convert_prompt_message_to_dict(m, credentials) for m in prompt_messages]
-        elif completion_type is LLMMode.COMPLETION:
-            data["prompt"] = "ping"
-            if "endpoint_url" in credentials:
-                endpoint_url = str(URL(endpoint_url) / "completions")
-            elif "server_url" in credentials:
-                endpoint_url = server_url
-        else:
-            raise ValueError("Unsupported completion type for model configuration.")
-
-        # annotate tools with names, descriptions, etc.
-        function_calling_type = credentials.get("function_calling_type", "no_call")
-        formatted_tools = []
-        if tools:
-            if function_calling_type == "function_call":
-                data["functions"] = [
-                    {"name": tool.name, "description": tool.description, "parameters": tool.parameters}
-                    for tool in tools
-                ]
-            elif function_calling_type == "tool_call":
-                data["tool_choice"] = "auto"
-
-                for tool in tools:
-                    formatted_tools.append(helper.dump_model(PromptMessageFunction(function=tool)))
-
-                data["tools"] = formatted_tools
-
-        if stop:
-            data["stop"] = stop
-
-        if user:
-            data["user"] = user
-
-        response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream)
-
-        if response.encoding is None or response.encoding == "ISO-8859-1":
-            response.encoding = "utf-8"
-
-        if not response.ok:
-            raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}")
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml
deleted file mode 100644
index 3e14d22141..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: mistralai/mistral-large
-label:
-  zh_Hans: mistralai/mistral-large
-  en_US: mistralai/mistral-large
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml
deleted file mode 100644
index d2c4dc5d93..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: mistralai/mixtral-8x7b-instruct-v0.1
-label:
-  zh_Hans: mistralai/mixtral-8x7b-instruct-v0.1
-  en_US: mistralai/mixtral-8x7b-instruct-v0.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml
deleted file mode 100644
index 05500c0336..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: mistralai/mixtral-8x22b-instruct-v0.1
-label:
-  zh_Hans: mistralai/mixtral-8x22b-instruct-v0.1
-  en_US: mistralai/mixtral-8x22b-instruct-v0.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml
deleted file mode 100644
index e5537cd2fd..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: nvidia/nemotron-4-340b-instruct
-label:
-  zh_Hans: nvidia/nemotron-4-340b-instruct
-  en_US: nvidia/nemotron-4-340b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml
deleted file mode 100644
index 0c5538d135..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: microsoft/phi-3-medium-128k-instruct
-label:
-  zh_Hans: microsoft/phi-3-medium-128k-instruct
-  en_US: microsoft/phi-3-medium-128k-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml
deleted file mode 100644
index 1eb1c51d01..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: microsoft/phi-3-mini-128k-instruct
-label:
-  zh_Hans: microsoft/phi-3-mini-128k-instruct
-  en_US: microsoft/phi-3-mini-128k-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml
deleted file mode 100644
index 73fcce3930..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: google/recurrentgemma-2b
-label:
-  zh_Hans: google/recurrentgemma-2b
-  en_US: google/recurrentgemma-2b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.2
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    default: 0
-    min: 0
-    max: 2147483647
diff --git a/api/core/model_runtime/model_providers/nvidia/nvidia.py b/api/core/model_runtime/model_providers/nvidia/nvidia.py
deleted file mode 100644
index 058fa00346..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/nvidia.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class MistralAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="mistralai/mixtral-8x7b-instruct-v0.1", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/nvidia/nvidia.yaml b/api/core/model_runtime/model_providers/nvidia/nvidia.yaml
deleted file mode 100644
index ce894a3372..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/nvidia.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-provider: nvidia
-label:
-  en_US: API Catalog
-description:
-  en_US: API Catalog
-  zh_Hans: API Catalog
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#FFFFFF"
-help:
-  title:
-    en_US: Get your API Key from NVIDIA
-    zh_Hans: 从 NVIDIA 获取 API Key
-  url:
-    en_US: https://build.nvidia.com/explore/discover
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/__init__.py b/api/core/model_runtime/model_providers/nvidia/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml b/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml
deleted file mode 100644
index 461f4e1cbe..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: nv-rerank-qa-mistral-4b:1
-model_type: rerank
-model_properties:
-  context_size: 512
diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py b/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py
deleted file mode 100644
index fabebc67ab..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py
+++ /dev/null
@@ -1,121 +0,0 @@
-from math import exp
-from typing import Optional
-
-import requests
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class NvidiaRerankModel(RerankModel):
-    """
-    Model class for NVIDIA rerank model.
-    """
-
-    def _sigmoid(self, logit: float) -> float:
-        return 1 / (1 + exp(-logit))
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        try:
-            invoke_url = "https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking"
-
-            headers = {
-                "Authorization": f"Bearer {credentials.get('api_key')}",
-                "Accept": "application/json",
-            }
-            payload = {
-                "model": model,
-                "query": {"text": query},
-                "passages": [{"text": doc} for doc in docs],
-            }
-            session = requests.Session()
-            response = session.post(invoke_url, headers=headers, json=payload)
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["rankings"]:
-                index = result["index"]
-                logit = result["logit"]
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=docs[index],
-                    score=self._sigmoid(logit),
-                )
-
-                rerank_documents.append(rerank_document)
-            if rerank_documents:
-                rerank_documents = sorted(rerank_documents, key=lambda x: x.score, reverse=True)
-                if top_n:
-                    rerank_documents = rerank_documents[:top_n]
-            return RerankResult(model=model, docs=rerank_documents)
-        except requests.HTTPError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the GPU memory bandwidth of H100 SXM?",
-                docs=[
-                    "Example doc 1",
-                    "Example doc 2",
-                    "Example doc 3",
-                ],
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [requests.ConnectionError],
-            InvokeServerUnavailableError: [requests.HTTPError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [requests.HTTPError],
-            InvokeBadRequestError: [requests.RequestException],
-        }
diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/__init__.py b/api/core/model_runtime/model_providers/nvidia/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml b/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml
deleted file mode 100644
index a9b5e25c3c..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: NV-Embed-QA
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py
deleted file mode 100644
index 04363e11be..0000000000
--- a/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,158 +0,0 @@
-import time
-from json import JSONDecodeError, dumps
-from typing import Optional
-
-from requests import post
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class NvidiaTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Nvidia text embedding model.
-    """
-
-    api_base: str = "https://ai.api.nvidia.com/v1/retrieval/nvidia/embeddings"
-    models: list[str] = ["NV-Embed-QA"]
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["api_key"]
-        if model not in self.models:
-            raise InvokeBadRequestError("Invalid model name")
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-        url = self.api_base
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-
-        data = {"model": model, "input": texts[0], "input_type": "query"}
-
-        try:
-            response = post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                msg = resp["detail"]
-                if response.status_code == 401:
-                    raise InvokeAuthorizationError(msg)
-                elif response.status_code == 429:
-                    raise InvokeRateLimitError(msg)
-                elif response.status_code == 500:
-                    raise InvokeServerUnavailableError(msg)
-                else:
-                    raise InvokeError(msg)
-            except JSONDecodeError as e:
-                raise InvokeServerUnavailableError(
-                    f"Failed to convert response to json: {e} with text: {response.text}"
-                )
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use JinaTokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvokeAuthorizationError:
-            raise CredentialsValidateFailedError("Invalid api key")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/nvidia_nim/__init__.py b/api/core/model_runtime/model_providers/nvidia_nim/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nvidia_nim/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/nvidia_nim/_assets/icon_l_en.png
deleted file mode 100644
index 5a7f42e61792b7b8be0529f6ae0ad4f3ba5fa7f9..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/api/core/model_runtime/model_providers/nvidia_nim/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/nvidia_nim/_assets/icon_s_en.svg
deleted file mode 100644
index 9fc02f9164..0000000000
--- a/api/core/model_runtime/model_providers/nvidia_nim/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="567" height="376" viewBox="0 0 567 376" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M58.0366 161.868C58.0366 161.868 109.261 86.2912 211.538 78.4724V51.053C98.2528 60.1511 0.152344 156.098 0.152344 156.098C0.152344 156.098 55.7148 316.717 211.538 331.426V302.282C97.1876 287.896 58.0366 161.868 58.0366 161.868ZM211.538 244.32V271.013C125.114 255.603 101.125 165.768 101.125 165.768C101.125 165.768 142.621 119.799 211.538 112.345V141.633C211.486 141.633 211.449 141.617 211.406 141.617C175.235 137.276 146.978 171.067 146.978 171.067C146.978 171.067 162.816 227.949 211.538 244.32ZM211.538 0.47998V51.053C214.864 50.7981 218.189 50.5818 221.533 50.468C350.326 46.1273 434.243 156.098 434.243 156.098C434.243 156.098 337.861 273.296 237.448 273.296C228.245 273.296 219.63 272.443 211.538 271.009V302.282C218.695 303.201 225.903 303.667 233.119 303.675C326.56 303.675 394.134 255.954 459.566 199.474C470.415 208.162 514.828 229.299 523.958 238.55C461.745 290.639 316.752 332.626 234.551 332.626C226.627 332.626 219.018 332.148 211.538 331.426V375.369H566.701V0.47998H211.538ZM211.538 112.345V78.4724C214.829 78.2425 218.146 78.0672 221.533 77.9602C314.148 75.0512 374.909 157.548 374.909 157.548C374.909 157.548 309.281 248.693 238.914 248.693C228.787 248.693 219.707 247.065 211.536 244.318V141.631C247.591 145.987 254.848 161.914 276.524 198.049L324.737 157.398C324.737 157.398 289.544 111.243 230.219 111.243C223.768 111.241 217.597 111.696 211.538 112.345Z" fill="#77B900"/>
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diff --git a/api/core/model_runtime/model_providers/nvidia_nim/llm/__init__.py b/api/core/model_runtime/model_providers/nvidia_nim/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py b/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py
deleted file mode 100644
index 6ff380bdd9..0000000000
--- a/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-
-class NVIDIANIMProvider(OAIAPICompatLargeLanguageModel):
-    """
-    Model class for NVIDIA NIM large language model.
-    """
-
-    pass
diff --git a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py b/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py
deleted file mode 100644
index ad890ada22..0000000000
--- a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class NVIDIANIMProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml b/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml
deleted file mode 100644
index 0e892665d7..0000000000
--- a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml
+++ /dev/null
@@ -1,79 +0,0 @@
-provider: nvidia_nim
-label:
-  en_US: NVIDIA NIM
-description:
-  en_US: NVIDIA NIM, a set of easy-to-use inference microservices.
-  zh_Hans: NVIDIA NIM，一组易于使用的模型推理微服务。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#EFFDFD"
-help:
-  title:
-    en_US: Learn more about NVIDIA NIM
-    zh_Hans: 了解 NVIDIA NIM 更多信息
-  url:
-    en_US: https://www.nvidia.com/en-us/ai/
-supported_model_types:
-  - llm
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter full model name
-      zh_Hans: 输入模型全称
-  credential_form_schemas:
-    - variable: endpoint_url
-      label:
-        zh_Hans: API endpoint URL
-        en_US: API endpoint URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: Base URL, e.g. http://192.168.1.100:8000/v1
-        en_US: Base URL, e.g. http://192.168.1.100:8000/v1
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens_to_sample
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: '4096'
-      type: text-input
diff --git a/api/core/model_runtime/model_providers/oci/__init__.py b/api/core/model_runtime/model_providers/oci/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg
deleted file mode 100644
index 0981dfcff2..0000000000
--- a/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 231 30' preserveAspectRatio='xMinYMid'><path d='M99.61,19.52h15.24l-8.05-13L92,30H85.27l18-28.17a4.29,4.29,0,0,1,7-.05L128.32,30h-6.73l-3.17-5.25H103l-3.36-5.23m69.93,5.23V0.28h-5.72V27.16a2.76,2.76,0,0,0,.85,2,2.89,2.89,0,0,0,2.08.87h26l3.39-5.25H169.54M75,20.38A10,10,0,0,0,75,.28H50V30h5.71V5.54H74.65a4.81,4.81,0,0,1,0,9.62H58.54L75.6,30h8.29L72.43,20.38H75M14.88,30H32.15a14.86,14.86,0,0,0,0-29.71H14.88a14.86,14.86,0,1,0,0,29.71m16.88-5.23H15.26a9.62,9.62,0,0,1,0-19.23h16.5a9.62,9.62,0,1,1,0,19.23M140.25,30h17.63l3.34-5.23H140.64a9.62,9.62,0,1,1,0-19.23h16.75l3.38-5.25H140.25a14.86,14.86,0,1,0,0,29.71m69.87-5.23a9.62,9.62,0,0,1-9.26-7h24.42l3.36-5.24H200.86a9.61,9.61,0,0,1,9.26-7h16.76l3.35-5.25h-20.5a14.86,14.86,0,0,0,0,29.71h17.63l3.35-5.23h-20.6' transform='translate(-0.02 0)' style='fill:#C74634'/></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg
deleted file mode 100644
index 0981dfcff2..0000000000
--- a/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 231 30' preserveAspectRatio='xMinYMid'><path d='M99.61,19.52h15.24l-8.05-13L92,30H85.27l18-28.17a4.29,4.29,0,0,1,7-.05L128.32,30h-6.73l-3.17-5.25H103l-3.36-5.23m69.93,5.23V0.28h-5.72V27.16a2.76,2.76,0,0,0,.85,2,2.89,2.89,0,0,0,2.08.87h26l3.39-5.25H169.54M75,20.38A10,10,0,0,0,75,.28H50V30h5.71V5.54H74.65a4.81,4.81,0,0,1,0,9.62H58.54L75.6,30h8.29L72.43,20.38H75M14.88,30H32.15a14.86,14.86,0,0,0,0-29.71H14.88a14.86,14.86,0,1,0,0,29.71m16.88-5.23H15.26a9.62,9.62,0,0,1,0-19.23h16.5a9.62,9.62,0,1,1,0,19.23M140.25,30h17.63l3.34-5.23H140.64a9.62,9.62,0,1,1,0-19.23h16.75l3.38-5.25H140.25a14.86,14.86,0,1,0,0,29.71m69.87-5.23a9.62,9.62,0,0,1-9.26-7h24.42l3.36-5.24H200.86a9.61,9.61,0,0,1,9.26-7h16.76l3.35-5.25h-20.5a14.86,14.86,0,0,0,0,29.71h17.63l3.35-5.23h-20.6' transform='translate(-0.02 0)' style='fill:#C74634'/></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml
deleted file mode 100644
index adfd7543b2..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: cohere.command-r-08-2024
-label:
-  en_US: cohere.command-r-08-2024 v1.7
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 1.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 4000
-pricing:
-  input: '0.0009'
-  output: '0.0009'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml
deleted file mode 100644
index 152c09ce6c..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: cohere.command-r-16k
-label:
-  en_US: cohere.command-r-16k v1.2
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 1.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 4000
-pricing:
-  input: '0.004'
-  output: '0.004'
-  unit: '0.0001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml
deleted file mode 100644
index 9db0a08496..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: cohere.command-r-plus-08-2024
-label:
-  en_US: cohere.command-r-plus-08-2024 v1.6
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 1.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 4000
-pricing:
-  input: '0.0156'
-  output: '0.0156'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml
deleted file mode 100644
index e819fe05d4..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: cohere.command-r-plus
-label:
-  en_US: cohere.command-r-plus v1.2
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 1.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: 0
-    max: 1
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 4000
-pricing:
-  input: '0.0219'
-  output: '0.0219'
-  unit: '0.0001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/llm.py b/api/core/model_runtime/model_providers/oci/llm/llm.py
deleted file mode 100644
index ad40530222..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/llm.py
+++ /dev/null
@@ -1,469 +0,0 @@
-import base64
-import copy
-import json
-import logging
-from collections.abc import Generator
-from typing import Optional, Union
-
-import oci  # type: ignore
-from oci.generative_ai_inference.models.base_chat_response import BaseChatResponse  # type: ignore
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-request_template = {
-    "compartmentId": "",
-    "servingMode": {"modelId": "cohere.command-r-plus-08-2024", "servingType": "ON_DEMAND"},
-    "chatRequest": {
-        "apiFormat": "COHERE",
-        # "preambleOverride": "You are a helpful assistant.",
-        # "message": "Hello!",
-        # "chatHistory": [],
-        "maxTokens": 600,
-        "isStream": False,
-        "frequencyPenalty": 0,
-        "presencePenalty": 0,
-        "temperature": 1,
-        "topP": 0.75,
-    },
-}
-oci_config_template = {
-    "user": "",
-    "fingerprint": "",
-    "tenancy": "",
-    "region": "",
-    "compartment_id": "",
-    "key_content": "",
-}
-
-
-class OCILargeLanguageModel(LargeLanguageModel):
-    # https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm
-    _supported_models = {
-        "meta.llama-3.1-70b-instruct": {
-            "system": True,
-            "multimodal": False,
-            "tool_call": False,
-            "stream_tool_call": False,
-        },
-        "cohere.command-r-08-2024": {
-            "system": True,
-            "multimodal": False,
-            "tool_call": True,
-            "stream_tool_call": False,
-        },
-        "cohere.command-r-plus-08-2024": {
-            "system": True,
-            "multimodal": False,
-            "tool_call": True,
-            "stream_tool_call": False,
-        },
-    }
-
-    def _is_tool_call_supported(self, model_id: str, stream: bool = False) -> bool:
-        feature = self._supported_models.get(model_id)
-        if not feature:
-            return False
-        return feature["stream_tool_call"] if stream else feature["tool_call"]
-
-    def _is_multimodal_supported(self, model_id: str) -> bool:
-        feature = self._supported_models.get(model_id)
-        if not feature:
-            return False
-        return feature["multimodal"]
-
-    def _is_system_prompt_supported(self, model_id: str) -> bool:
-        feature = self._supported_models.get(model_id)
-        if not feature:
-            return False
-        return feature["system"]
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # print("model"+"*"*20)
-        # print(model)
-        # print("credentials"+"*"*20)
-        # print(credentials)
-        # print("model_parameters"+"*"*20)
-        # print(model_parameters)
-        # print("prompt_messages"+"*"*200)
-        # print(prompt_messages)
-        # print("tools"+"*"*20)
-        # print(tools)
-
-        # invoke model
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:md = genai.GenerativeModel(model)
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def get_num_characters(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:md = genai.GenerativeModel(model)
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-
-        return len(prompt)
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        return text.rstrip()
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        # Setup basic variables
-        # Auth Config
-        try:
-            ping_message = SystemPromptMessage(content="ping")
-            self._generate(model, credentials, [ping_message], {"maxTokens": 5})
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # config_kwargs = model_parameters.copy()
-        # config_kwargs['max_output_tokens'] = config_kwargs.pop('max_tokens_to_sample', None)
-        # if stop:
-        #    config_kwargs["stop_sequences"] = stop
-
-        # initialize client
-        # ref: https://docs.oracle.com/en-us/iaas/api/#/en/generative-ai-inference/20231130/ChatResult/Chat
-        oci_config = copy.deepcopy(oci_config_template)
-        if "oci_config_content" in credentials:
-            oci_config_content = base64.b64decode(credentials.get("oci_config_content")).decode("utf-8")
-            config_items = oci_config_content.split("/")
-            if len(config_items) != 5:
-                raise CredentialsValidateFailedError(
-                    "oci_config_content should be base64.b64encode("
-                    "'user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid'.encode('utf-8'))"
-                )
-            oci_config["user"] = config_items[0]
-            oci_config["fingerprint"] = config_items[1]
-            oci_config["tenancy"] = config_items[2]
-            oci_config["region"] = config_items[3]
-            oci_config["compartment_id"] = config_items[4]
-        else:
-            raise CredentialsValidateFailedError("need to set oci_config_content in credentials ")
-        if "oci_key_content" in credentials:
-            oci_key_content = base64.b64decode(credentials.get("oci_key_content")).decode("utf-8")
-            oci_config["key_content"] = oci_key_content.encode(encoding="utf-8")
-        else:
-            raise CredentialsValidateFailedError("need to set oci_config_content in credentials ")
-
-        # oci_config = oci.config.from_file('~/.oci/config', credentials.get('oci_api_profile'))
-        compartment_id = oci_config["compartment_id"]
-        client = oci.generative_ai_inference.GenerativeAiInferenceClient(config=oci_config)
-        # call embedding model
-        request_args = copy.deepcopy(request_template)
-        request_args["compartmentId"] = compartment_id
-        request_args["servingMode"]["modelId"] = model
-
-        chat_history = []
-        system_prompts = []
-        # if "meta.llama" in model:
-        #    request_args["chatRequest"]["apiFormat"] = "GENERIC"
-        request_args["chatRequest"]["maxTokens"] = model_parameters.pop("maxTokens", 600)
-        request_args["chatRequest"].update(model_parameters)
-        frequency_penalty = model_parameters.get("frequencyPenalty", 0)
-        presence_penalty = model_parameters.get("presencePenalty", 0)
-        if frequency_penalty > 0 and presence_penalty > 0:
-            raise InvokeBadRequestError("Cannot set both frequency penalty and presence penalty")
-
-        # for msg in prompt_messages:  # makes message roles strictly alternating
-        #    content = self._format_message_to_glm_content(msg)
-        #    if history and history[-1]["role"] == content["role"]:
-        #        history[-1]["parts"].extend(content["parts"])
-        #    else:
-        #        history.append(content)
-
-        # temporary not implement the tool call function
-        valid_value = self._is_tool_call_supported(model, stream)
-        if tools is not None and len(tools) > 0:
-            if not valid_value:
-                raise InvokeBadRequestError("Does not support function calling")
-        if model.startswith("cohere"):
-            # print("run cohere " * 10)
-            for message in prompt_messages[:-1]:
-                text = ""
-                if isinstance(message.content, str):
-                    text = message.content
-                if isinstance(message, UserPromptMessage):
-                    chat_history.append({"role": "USER", "message": text})
-                else:
-                    chat_history.append({"role": "CHATBOT", "message": text})
-                if isinstance(message, SystemPromptMessage):
-                    if isinstance(message.content, str):
-                        system_prompts.append(message.content)
-            args = {
-                "apiFormat": "COHERE",
-                "preambleOverride": " ".join(system_prompts),
-                "message": prompt_messages[-1].content,
-                "chatHistory": chat_history,
-            }
-            request_args["chatRequest"].update(args)
-        elif model.startswith("meta"):
-            # print("run meta " * 10)
-            meta_messages = []
-            for message in prompt_messages:
-                text = message.content
-                meta_messages.append({"role": message.role.name, "content": [{"type": "TEXT", "text": text}]})
-            args = {"apiFormat": "GENERIC", "messages": meta_messages, "numGenerations": 1, "topK": -1}
-            request_args["chatRequest"].update(args)
-
-        if stream:
-            request_args["chatRequest"]["isStream"] = True
-        # print("final request" + "|" * 20)
-        # print(request_args)
-        response = client.chat(request_args)
-        # print(vars(response))
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: BaseChatResponse, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=response.data.chat_response.text)
-
-        # calculate num tokens
-        prompt_tokens = self.get_num_characters(model, credentials, prompt_messages)
-        completion_tokens = self.get_num_characters(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: BaseChatResponse, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        index = -1
-        events = response.data.events()
-        for stream in events:
-            chunk = json.loads(stream.data)
-            # print(chunk)
-            # chunk: {'apiFormat': 'COHERE', 'text': 'Hello'}
-
-            # for chunk in response:
-            # for part in chunk.parts:
-            # if part.function_call:
-            #    assistant_prompt_message.tool_calls = [
-            #        AssistantPromptMessage.ToolCall(
-            #            id=part.function_call.name,
-            #            type='function',
-            #            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-            #                name=part.function_call.name,
-            #                arguments=json.dumps(dict(part.function_call.args.items()))
-            #            )
-            #        )
-            #    ]
-
-            if "finishReason" not in chunk:
-                assistant_prompt_message = AssistantPromptMessage(content="")
-                if model.startswith("cohere"):
-                    if chunk["text"]:
-                        assistant_prompt_message.content += chunk["text"]
-                elif model.startswith("meta"):
-                    assistant_prompt_message.content += chunk["message"]["content"][0]["text"]
-                index += 1
-                # transform assistant message to prompt message
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                )
-            else:
-                # calculate num tokens
-                prompt_tokens = self.get_num_characters(model, credentials, prompt_messages)
-                completion_tokens = self.get_num_characters(model, credentials, [assistant_prompt_message])
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=assistant_prompt_message,
-                        finish_reason=str(chunk["finishReason"]),
-                        usage=usage,
-                    ),
-                )
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nuser:"
-        ai_prompt = "\n\nmodel:"
-
-        content = message.content
-        if isinstance(content, list):
-            content = "".join(c.data for c in content if c.type != PromptMessageContentType.IMAGE)
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage | ToolPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml
deleted file mode 100644
index 0917fe19a2..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: meta.llama-3-70b-instruct
-label:
-  zh_Hans: meta.llama-3-70b-instruct
-  en_US: meta.llama-3-70b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 2.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 8000
-pricing:
-  input: '0.015'
-  output: '0.015'
-  unit: '0.0001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml
deleted file mode 100644
index 2cf5666f89..0000000000
--- a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: meta.llama-3.1-70b-instruct
-label:
-  zh_Hans: meta.llama-3.1-70b-instruct
-  en_US: meta.llama-3.1-70b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 1
-    max: 2.0
-  - name: topP
-    use_template: top_p
-    default: 0.75
-    min: 0
-    max: 1
-  - name: topK
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presencePenalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: frequencyPenalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: maxTokens
-    use_template: max_tokens
-    default: 600
-    max: 4000
-pricing:
-  input: '0.0075'
-  output: '0.0075'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/oci.py b/api/core/model_runtime/model_providers/oci/oci.py
deleted file mode 100644
index a3321cb9fd..0000000000
--- a/api/core/model_runtime/model_providers/oci/oci.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OCIGENAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `cohere.command-r-plus-08-2024` model for validate,
-            model_instance.validate_credentials(model="cohere.command-r-plus-08-2024", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/oci/oci.yaml b/api/core/model_runtime/model_providers/oci/oci.yaml
deleted file mode 100644
index f2f23e18f1..0000000000
--- a/api/core/model_runtime/model_providers/oci/oci.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-provider: oci
-label:
-  en_US: OCIGenerativeAI
-description:
-  en_US: Models provided by OCI, such as Cohere Command R and Cohere Command R+.
-  zh_Hans: OCI 提供的模型，例如 Cohere Command R 和 Cohere Command R+。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FFFFFF"
-help:
-  title:
-    en_US: Get your API Key from OCI
-    zh_Hans: 从 OCI 获取 API Key
-  url:
-    en_US: https://docs.cloud.oracle.com/Content/API/Concepts/sdkconfig.htm
-supported_model_types:
-  - llm
-  - text-embedding
-  #- rerank
-configurate_methods:
-  - predefined-model
-  #- customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: oci_config_content
-      label:
-        en_US: oci api key config file's content
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 oci api key config 文件的内容(base64.b64encode("user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid".encode('utf-8')) )
-        en_US: Enter your oci api key config file's content(base64.b64encode("user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid".encode('utf-8')) )
-    - variable: oci_key_content
-      label:
-        en_US: oci api key file's content
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 oci api key 文件的内容(base64.b64encode("pem file content".encode('utf-8')))
-        en_US: Enter your oci api key file's content(base64.b64encode("pem file content".encode('utf-8')))
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/__init__.py b/api/core/model_runtime/model_providers/oci/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml
deleted file mode 100644
index 149f1e3797..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-- cohere.embed-english-light-v2.0
-- cohere.embed-english-light-v3.0
-- cohere.embed-english-v3.0
-- cohere.embed-multilingual-light-v3.0
-- cohere.embed-multilingual-v3.0
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml
deleted file mode 100644
index 259d5b45b7..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: cohere.embed-english-light-v2.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml
deleted file mode 100644
index 065e7474c0..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: cohere.embed-english-light-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 384
-  max_chunks: 48
-pricing:
-  input: '0.001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml
deleted file mode 100644
index 3e2deea16a..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: cohere.embed-english-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml
deleted file mode 100644
index 0d2b892c64..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: cohere.embed-multilingual-light-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 384
-  max_chunks: 48
-pricing:
-  input: '0.001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml
deleted file mode 100644
index 9ebe260b32..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: cohere.embed-multilingual-v3.0
-model_type: text-embedding
-model_properties:
-  context_size: 1024
-  max_chunks: 48
-pricing:
-  input: '0.001'
-  unit: '0.0001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py
deleted file mode 100644
index 5a428c9fed..0000000000
--- a/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,224 +0,0 @@
-import base64
-import copy
-import time
-from typing import Optional
-
-import numpy as np
-import oci  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-request_template = {
-    "compartmentId": "",
-    "servingMode": {"modelId": "cohere.embed-english-light-v3.0", "servingType": "ON_DEMAND"},
-    "truncate": "NONE",
-    "inputs": [""],
-}
-oci_config_template = {
-    "user": "",
-    "fingerprint": "",
-    "tenancy": "",
-    "region": "",
-    "compartment_id": "",
-    "key_content": "",
-}
-
-
-class OCITextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Cohere text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(len(text) * (np.floor(context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        for i in _iter:
-            # call embedding model
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model, credentials=credentials, texts=inputs[i : i + max_chunks]
-            )
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def get_num_characters(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        characters = 0
-        for text in texts:
-            characters += len(text)
-        return characters
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # call embedding model
-            self._embedding_invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int]:
-        """
-        Invoke embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return: embeddings and used tokens
-        """
-
-        # oci
-        # initialize client
-        oci_config = copy.deepcopy(oci_config_template)
-        if "oci_config_content" in credentials:
-            oci_config_content = base64.b64decode(credentials.get("oci_config_content")).decode("utf-8")
-            config_items = oci_config_content.split("/")
-            if len(config_items) != 5:
-                raise CredentialsValidateFailedError(
-                    "oci_config_content should be base64.b64encode("
-                    "'user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid'.encode('utf-8'))"
-                )
-            oci_config["user"] = config_items[0]
-            oci_config["fingerprint"] = config_items[1]
-            oci_config["tenancy"] = config_items[2]
-            oci_config["region"] = config_items[3]
-            oci_config["compartment_id"] = config_items[4]
-        else:
-            raise CredentialsValidateFailedError("need to set oci_config_content in credentials ")
-        if "oci_key_content" in credentials:
-            oci_key_content = base64.b64decode(credentials.get("oci_key_content")).decode("utf-8")
-            oci_config["key_content"] = oci_key_content.encode(encoding="utf-8")
-        else:
-            raise CredentialsValidateFailedError("need to set oci_config_content in credentials ")
-        # oci_config = oci.config.from_file('~/.oci/config', credentials.get('oci_api_profile'))
-        compartment_id = oci_config["compartment_id"]
-        client = oci.generative_ai_inference.GenerativeAiInferenceClient(config=oci_config)
-        # call embedding model
-        request_args = copy.deepcopy(request_template)
-        request_args["compartmentId"] = compartment_id
-        request_args["servingMode"]["modelId"] = model
-        request_args["inputs"] = texts
-        response = client.embed_text(request_args)
-        return response.data.embeddings, self.get_num_characters(model=model, credentials=credentials, texts=texts)
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
diff --git a/api/core/model_runtime/model_providers/ollama/__init__.py b/api/core/model_runtime/model_providers/ollama/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg
deleted file mode 100644
index 39d8a1ece6..0000000000
--- a/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,15 +0,0 @@
-<svg width="82" height="24" viewBox="0 0 82 24" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-<rect x="1" width="16.9688" height="24" fill="url(#pattern0)"/>
-<path d="M71.4453 14.552C71.4453 13.6667 71.6266 12.8827 71.9893 12.2C72.3626 11.5174 72.864 10.9894 73.4933 10.616C74.1333 10.232 74.8373 10.04 75.6053 10.04C76.2986 10.04 76.9013 10.1787 77.4133 10.456C77.936 10.7227 78.352 11.0587 78.6613 11.464V10.184H80.5013V19H78.6613V17.688C78.352 18.104 77.9306 18.4507 77.3973 18.728C76.864 19.0054 76.256 19.144 75.5733 19.144C74.816 19.144 74.1226 18.952 73.4933 18.568C72.864 18.1734 72.3626 17.6294 71.9893 16.936C71.6266 16.232 71.4453 15.4374 71.4453 14.552ZM78.6613 14.584C78.6613 13.976 78.5333 13.448 78.2773 13C78.032 12.552 77.7066 12.2107 77.3013 11.976C76.896 11.7414 76.4586 11.624 75.9893 11.624C75.52 11.624 75.0826 11.7414 74.6773 11.976C74.272 12.2 73.9413 12.536 73.6853 12.984C73.44 13.4214 73.3173 13.944 73.3173 14.552C73.3173 15.16 73.44 15.6934 73.6853 16.152C73.9413 16.6107 74.272 16.9627 74.6773 17.208C75.0933 17.4427 75.5306 17.56 75.9893 17.56C76.4586 17.56 76.896 17.4427 77.3013 17.208C77.7066 16.9734 78.032 16.632 78.2773 16.184C78.5333 15.7254 78.6613 15.192 78.6613 14.584Z" fill="black"/>
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"/>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/ollama/llm/__init__.py b/api/core/model_runtime/model_providers/ollama/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py
deleted file mode 100644
index 3ae728d4b3..0000000000
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ /dev/null
@@ -1,786 +0,0 @@
-import json
-import logging
-import re
-from collections.abc import Generator
-from decimal import Decimal
-from typing import Optional, Union, cast
-from urllib.parse import urljoin
-
-import requests
-
-from core.model_runtime.entities.llm_entities import (
-    LLMMode,
-    LLMResult,
-    LLMResultChunk,
-    LLMResultChunkDelta,
-)
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    I18nObject,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-    PriceConfig,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import (
-    LargeLanguageModel,
-)
-
-logger = logging.getLogger(__name__)
-
-
-class OllamaLargeLanguageModel(LargeLanguageModel):
-    """
-    Model class for Ollama large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # get model mode
-        model_mode = self.get_model_mode(model, credentials)
-
-        if model_mode == LLMMode.CHAT:
-            # chat model
-            return self._num_tokens_from_messages(prompt_messages)
-        else:
-            first_prompt_message = prompt_messages[0]
-            if isinstance(first_prompt_message.content, str):
-                text = first_prompt_message.content
-            else:
-                text = ""
-                for message_content in first_prompt_message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        text = message_content.data
-                        break
-            return self._get_num_tokens_by_gpt2(text)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[UserPromptMessage(content="ping")],
-                model_parameters={"num_predict": 5},
-                stream=False,
-            )
-        except InvokeError as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {ex.description}")
-        except Exception as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}")
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm completion model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        headers = {"Content-Type": "application/json"}
-
-        endpoint_url = credentials["base_url"]
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-
-        # prepare the payload for a simple ping to the model
-        data = {"model": model, "stream": stream}
-
-        if format_schema := model_parameters.pop("format", None):
-            try:
-                data["format"] = format_schema if format_schema == "json" else json.loads(format_schema)
-            except json.JSONDecodeError as e:
-                raise InvokeBadRequestError(f"Invalid format schema: {str(e)}")
-
-        if "keep_alive" in model_parameters:
-            data["keep_alive"] = model_parameters["keep_alive"]
-            del model_parameters["keep_alive"]
-
-        data["options"] = model_parameters or {}
-
-        if stop:
-            data["options"]["stop"] = stop
-
-        completion_type = LLMMode.value_of(credentials["mode"])
-
-        if completion_type is LLMMode.CHAT:
-            endpoint_url = urljoin(endpoint_url, "api/chat")
-            data["messages"] = [self._convert_prompt_message_to_dict(m) for m in prompt_messages]
-            if tools:
-                data["tools"] = [self._convert_prompt_message_tool_to_dict(tool) for tool in tools]
-        else:
-            endpoint_url = urljoin(endpoint_url, "api/generate")
-            first_prompt_message = prompt_messages[0]
-            if isinstance(first_prompt_message, UserPromptMessage):
-                first_prompt_message = cast(UserPromptMessage, first_prompt_message)
-                if isinstance(first_prompt_message.content, str):
-                    data["prompt"] = first_prompt_message.content
-                else:
-                    text = ""
-                    images = []
-                    for message_content in first_prompt_message.content:
-                        if message_content.type == PromptMessageContentType.TEXT:
-                            message_content = cast(TextPromptMessageContent, message_content)
-                            text = message_content.data
-                        elif message_content.type == PromptMessageContentType.IMAGE:
-                            message_content = cast(ImagePromptMessageContent, message_content)
-                            image_data = re.sub(
-                                r"^data:image\/[a-zA-Z]+;base64,",
-                                "",
-                                message_content.data,
-                            )
-                            images.append(image_data)
-
-                    data["prompt"] = text
-                    data["images"] = images
-
-        # send a post request to validate the credentials
-        response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream)
-
-        response.encoding = "utf-8"
-        if response.status_code != 200:
-            raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}")
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, completion_type, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, completion_type, response, prompt_messages, tools)
-
-    def _handle_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        completion_type: LLMMode,
-        response: requests.Response,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]],
-    ) -> LLMResult:
-        """
-        Handle llm completion response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param completion_type: completion type
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm result
-        """
-        response_json = response.json()
-        tool_calls = []
-        if completion_type is LLMMode.CHAT:
-            message = response_json.get("message", {})
-            response_content = message.get("content", "")
-            response_tool_calls = message.get("tool_calls", [])
-            tool_calls = [self._extract_response_tool_call(tool_call) for tool_call in response_tool_calls]
-        else:
-            response_content = response_json["response"]
-
-        assistant_message = AssistantPromptMessage(content=response_content, tool_calls=tool_calls)
-
-        if "prompt_eval_count" in response_json and "eval_count" in response_json:
-            # transform usage
-            prompt_tokens = response_json["prompt_eval_count"]
-            completion_tokens = response_json["eval_count"]
-        else:
-            # calculate num tokens
-            prompt_tokens = self._get_num_tokens_by_gpt2(prompt_messages[0].content)
-            completion_tokens = self._get_num_tokens_by_gpt2(assistant_message.content)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=response_json["model"],
-            prompt_messages=prompt_messages,
-            message=assistant_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        completion_type: LLMMode,
-        response: requests.Response,
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm completion stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param completion_type: completion type
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        full_text = ""
-        chunk_index = 0
-
-        def create_final_llm_result_chunk(
-            index: int, message: AssistantPromptMessage, finish_reason: str
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = self._get_num_tokens_by_gpt2(prompt_messages[0].content)
-            completion_tokens = self._get_num_tokens_by_gpt2(full_text)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=index,
-                    message=message,
-                    finish_reason=finish_reason,
-                    usage=usage,
-                ),
-            )
-
-        for chunk in response.iter_lines(decode_unicode=True, delimiter="\n"):
-            if not chunk:
-                continue
-
-            try:
-                chunk_json = json.loads(chunk)
-                # stream ended
-            except json.JSONDecodeError as e:
-                yield create_final_llm_result_chunk(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(content=""),
-                    finish_reason="Non-JSON encountered.",
-                )
-
-                chunk_index += 1
-                break
-
-            if completion_type is LLMMode.CHAT:
-                if not chunk_json:
-                    continue
-
-                if "message" not in chunk_json:
-                    text = ""
-                else:
-                    text = chunk_json.get("message").get("content", "")
-            else:
-                if not chunk_json:
-                    continue
-
-                # transform assistant message to prompt message
-                text = chunk_json["response"]
-
-            assistant_prompt_message = AssistantPromptMessage(content=text)
-
-            full_text += text
-
-            if chunk_json["done"]:
-                # calculate num tokens
-                if "prompt_eval_count" in chunk_json:
-                    prompt_tokens = chunk_json["prompt_eval_count"]
-                else:
-                    prompt_message_content = prompt_messages[0].content
-                    if isinstance(prompt_message_content, str):
-                        prompt_tokens = self._get_num_tokens_by_gpt2(prompt_message_content)
-                    else:
-                        content_text = ""
-                        for message_content in prompt_message_content:
-                            if message_content.type == PromptMessageContentType.TEXT:
-                                message_content = cast(TextPromptMessageContent, message_content)
-                                content_text += message_content.data
-                        prompt_tokens = self._get_num_tokens_by_gpt2(content_text)
-
-                completion_tokens = chunk_json.get("eval_count", self._get_num_tokens_by_gpt2(full_text))
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=chunk_json["model"],
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                        finish_reason="stop",
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk_json["model"],
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-    def _convert_prompt_message_tool_to_dict(self, tool: PromptMessageTool) -> dict:
-        """
-        Convert PromptMessageTool to dict for Ollama API
-
-        :param tool: tool
-        :return: tool dict
-        """
-        return {
-            "type": "function",
-            "function": {
-                "name": tool.name,
-                "description": tool.description,
-                "parameters": tool.parameters,
-            },
-        }
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for Ollama API
-
-        :param message: prompt message
-        :return: message dict
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                text = ""
-                images = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        text = message_content.data
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        image_data = re.sub(r"^data:image\/[a-zA-Z]+;base64,", "", message_content.data)
-                        images.append(image_data)
-
-                message_dict = {"role": "user", "content": text, "images": images}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": "tool", "content": message.content}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_dict
-
-    def _num_tokens_from_messages(self, messages: list[PromptMessage]) -> int:
-        """
-        Calculate num tokens.
-
-        :param messages: messages
-        """
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            for key, value in message.items():
-                num_tokens += self._get_num_tokens_by_gpt2(str(key))
-                num_tokens += self._get_num_tokens_by_gpt2(str(value))
-
-        return num_tokens
-
-    def _extract_response_tool_call(self, response_tool_call: dict) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract response tool call
-        """
-        tool_call = None
-        if response_tool_call and "function" in response_tool_call:
-            # Convert arguments to JSON string if it's a dict
-            arguments = response_tool_call.get("function").get("arguments")
-            if isinstance(arguments, dict):
-                arguments = json.dumps(arguments)
-
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_tool_call.get("function").get("name"),
-                arguments=arguments,
-            )
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_tool_call.get("function").get("name"),
-                type="function",
-                function=function,
-            )
-
-        return tool_call
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        Get customizable model schema.
-
-        :param model: model name
-        :param credentials: credentials
-
-        :return: model schema
-        """
-        extras = {
-            "features": [],
-        }
-
-        if "vision_support" in credentials and credentials["vision_support"] == "true":
-            extras["features"].append(ModelFeature.VISION)
-        if "function_call_support" in credentials and credentials["function_call_support"] == "true":
-            extras["features"].append(ModelFeature.TOOL_CALL)
-            extras["features"].append(ModelFeature.MULTI_TOOL_CALL)
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(zh_Hans=model, en_US=model),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: credentials.get("mode"),
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)),
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name=DefaultParameterName.TEMPERATURE.value,
-                    use_template=DefaultParameterName.TEMPERATURE.value,
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="The temperature of the model. "
-                        "Increasing the temperature will make the model answer "
-                        "more creatively. (Default: 0.8)",
-                        zh_Hans="模型的温度。增加温度将使模型的回答更具创造性。（默认值：0.8）",
-                    ),
-                    default=0.1,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.TOP_P.value,
-                    use_template=DefaultParameterName.TOP_P.value,
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="Works together with top-k. A higher value (e.g., 0.95) will lead to "
-                        "more diverse text, while a lower value (e.g., 0.5) will generate more "
-                        "focused and conservative text. (Default: 0.9)",
-                        zh_Hans="与top-k一起工作。较高的值（例如，0.95）会导致生成更多样化的文本，而较低的值（例如，0.5）会生成更专注和保守的文本。（默认值：0.9）",
-                    ),
-                    default=0.9,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name="top_k",
-                    label=I18nObject(en_US="Top K", zh_Hans="Top K"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Reduces the probability of generating nonsense. "
-                        "A higher value (e.g. 100) will give more diverse answers, "
-                        "while a lower value (e.g. 10) will be more conservative. (Default: 40)",
-                        zh_Hans="减少生成无意义内容的可能性。较高的值（例如100）将提供更多样化的答案，而较低的值（例如10）将更为保守。（默认值：40）",
-                    ),
-                    min=1,
-                    max=100,
-                ),
-                ParameterRule(
-                    name="repeat_penalty",
-                    label=I18nObject(en_US="Repeat Penalty"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="Sets how strongly to penalize repetitions. "
-                        "A higher value (e.g., 1.5) will penalize repetitions more strongly, "
-                        "while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1)",
-                        zh_Hans="设置对重复内容的惩罚强度。一个较高的值（例如，1.5）会更强地惩罚重复内容，而一个较低的值（例如，0.9）则会相对宽容。（默认值：1.1）",
-                    ),
-                    min=-2,
-                    max=2,
-                ),
-                ParameterRule(
-                    name="num_predict",
-                    use_template="max_tokens",
-                    label=I18nObject(en_US="Num Predict", zh_Hans="最大令牌数预测"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Maximum number of tokens to predict when generating text. "
-                        "(Default: 128, -1 = infinite generation, -2 = fill context)",
-                        zh_Hans="生成文本时预测的最大令牌数。（默认值：128，-1 = 无限生成，-2 = 填充上下文）",
-                    ),
-                    default=(512 if int(credentials.get("max_tokens", 4096)) >= 768 else 128),
-                    min=-2,
-                    max=int(credentials.get("max_tokens", 4096)),
-                ),
-                ParameterRule(
-                    name="mirostat",
-                    label=I18nObject(en_US="Mirostat sampling", zh_Hans="Mirostat 采样"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Enable Mirostat sampling for controlling perplexity. "
-                        "(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)",
-                        zh_Hans="启用 Mirostat 采样以控制困惑度。"
-                        "（默认值：0，0 = 禁用，1 = Mirostat，2 = Mirostat 2.0）",
-                    ),
-                    min=0,
-                    max=2,
-                ),
-                ParameterRule(
-                    name="mirostat_eta",
-                    label=I18nObject(en_US="Mirostat Eta", zh_Hans="学习率"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="Influences how quickly the algorithm responds to feedback from "
-                        "the generated text. A lower learning rate will result in slower adjustments, "
-                        "while a higher learning rate will make the algorithm more responsive. "
-                        "(Default: 0.1)",
-                        zh_Hans="影响算法对生成文本反馈响应的速度。较低的学习率会导致调整速度变慢，而较高的学习率会使得算法更加灵敏。（默认值：0.1）",
-                    ),
-                    precision=1,
-                ),
-                ParameterRule(
-                    name="mirostat_tau",
-                    label=I18nObject(en_US="Mirostat Tau", zh_Hans="文本连贯度"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="Controls the balance between coherence and diversity of the output. "
-                        "A lower value will result in more focused and coherent text. (Default: 5.0)",
-                        zh_Hans="控制输出的连贯性和多样性之间的平衡。较低的值会导致更专注和连贯的文本。（默认值：5.0）",
-                    ),
-                    precision=1,
-                ),
-                ParameterRule(
-                    name="num_ctx",
-                    label=I18nObject(en_US="Size of context window", zh_Hans="上下文窗口大小"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Sets the size of the context window used to generate the next token. (Default: 2048)",
-                        zh_Hans="设置用于生成下一个标记的上下文窗口大小。（默认值：2048）",
-                    ),
-                    default=2048,
-                    min=1,
-                ),
-                ParameterRule(
-                    name="num_gpu",
-                    label=I18nObject(en_US="GPU Layers", zh_Hans="GPU 层数"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="The number of layers to offload to the GPU(s). "
-                        "On macOS it defaults to 1 to enable metal support, 0 to disable."
-                        "As long as a model fits into one gpu it stays in one. "
-                        "It does not set the number of GPU(s). ",
-                        zh_Hans="加载到 GPU 的层数。在 macOS 上，默认为 1 以启用 Metal 支持，设置为 0 则禁用。"
-                        "只要模型适合一个 GPU，它就保留在其中。它不设置 GPU 的数量。",
-                    ),
-                    min=-1,
-                    default=1,
-                ),
-                ParameterRule(
-                    name="num_thread",
-                    label=I18nObject(en_US="Num Thread", zh_Hans="线程数"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Sets the number of threads to use during computation. "
-                        "By default, Ollama will detect this for optimal performance. "
-                        "It is recommended to set this value to the number of physical CPU cores "
-                        "your system has (as opposed to the logical number of cores).",
-                        zh_Hans="设置计算过程中使用的线程数。默认情况下，Ollama会检测以获得最佳性能。建议将此值设置为系统拥有的物理CPU核心数（而不是逻辑核心数）。",
-                    ),
-                    min=1,
-                ),
-                ParameterRule(
-                    name="repeat_last_n",
-                    label=I18nObject(en_US="Repeat last N", zh_Hans="回溯内容"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Sets how far back for the model to look back to prevent repetition. "
-                        "(Default: 64, 0 = disabled, -1 = num_ctx)",
-                        zh_Hans="设置模型回溯多远的内容以防止重复。（默认值：64，0 = 禁用，-1 = num_ctx）",
-                    ),
-                    min=-1,
-                ),
-                ParameterRule(
-                    name="tfs_z",
-                    label=I18nObject(en_US="TFS Z", zh_Hans="减少标记影响"),
-                    type=ParameterType.FLOAT,
-                    help=I18nObject(
-                        en_US="Tail free sampling is used to reduce the impact of less probable tokens "
-                        "from the output. A higher value (e.g., 2.0) will reduce the impact more, "
-                        "while a value of 1.0 disables this setting. (default: 1)",
-                        zh_Hans="用于减少输出中不太可能的标记的影响。较高的值（例如，2.0）会更多地减少这种影响，而1.0的值则会禁用此设置。（默认值：1）",
-                    ),
-                    precision=1,
-                ),
-                ParameterRule(
-                    name="seed",
-                    label=I18nObject(en_US="Seed", zh_Hans="随机数种子"),
-                    type=ParameterType.INT,
-                    help=I18nObject(
-                        en_US="Sets the random number seed to use for generation. Setting this to "
-                        "a specific number will make the model generate the same text for "
-                        "the same prompt. (Default: 0)",
-                        zh_Hans="设置用于生成的随机数种子。将此设置为特定数字将使模型对相同的提示生成相同的文本。（默认值：0）",
-                    ),
-                ),
-                ParameterRule(
-                    name="keep_alive",
-                    label=I18nObject(en_US="Keep Alive", zh_Hans="模型存活时间"),
-                    type=ParameterType.STRING,
-                    help=I18nObject(
-                        en_US="Sets how long the model is kept in memory after generating a response. "
-                        "This must be a duration string with a unit (e.g., '10m' for 10 minutes or '24h' for 24 hours)."
-                        " A negative number keeps the model loaded indefinitely, and '0' unloads the model"
-                        " immediately after generating a response."
-                        " Valid time units are 's','m','h'. (Default: 5m)",
-                        zh_Hans="设置模型在生成响应后在内存中保留的时间。"
-                        "这必须是一个带有单位的持续时间字符串（例如，'10m' 表示10分钟，'24h' 表示24小时）。"
-                        "负数表示无限期地保留模型，'0'表示在生成响应后立即卸载模型。"
-                        "有效的时间单位有 's'（秒）、'm'（分钟）、'h'（小时）。（默认值：5m）",
-                    ),
-                ),
-                ParameterRule(
-                    name="format",
-                    label=I18nObject(en_US="Format", zh_Hans="返回格式"),
-                    type=ParameterType.TEXT,
-                    default="json",
-                    help=I18nObject(
-                        en_US="the format to return a response in. Format can be `json` or a JSON schema.",
-                        zh_Hans="返回响应的格式。目前接受的值是字符串`json`或JSON schema.",
-                    ),
-                ),
-            ],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                output=Decimal(credentials.get("output_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-            **extras,
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeAuthorizationError: [
-                requests.exceptions.InvalidHeader,  # Missing or Invalid API Key
-            ],
-            InvokeBadRequestError: [
-                requests.exceptions.HTTPError,  # Invalid Endpoint URL or model name
-                requests.exceptions.InvalidURL,  # Misconfigured request or other API error
-            ],
-            InvokeRateLimitError: [
-                requests.exceptions.RetryError  # Too many requests sent in a short period of time
-            ],
-            InvokeServerUnavailableError: [
-                requests.exceptions.ConnectionError,  # Engine Overloaded
-                requests.exceptions.HTTPError,  # Server Error
-            ],
-            InvokeConnectionError: [
-                requests.exceptions.ConnectTimeout,  # Timeout
-                requests.exceptions.ReadTimeout,  # Timeout
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/ollama/ollama.py b/api/core/model_runtime/model_providers/ollama/ollama.py
deleted file mode 100644
index 115280193a..0000000000
--- a/api/core/model_runtime/model_providers/ollama/ollama.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OpenAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        pass
diff --git a/api/core/model_runtime/model_providers/ollama/ollama.yaml b/api/core/model_runtime/model_providers/ollama/ollama.yaml
deleted file mode 100644
index 6560fcd180..0000000000
--- a/api/core/model_runtime/model_providers/ollama/ollama.yaml
+++ /dev/null
@@ -1,117 +0,0 @@
-provider: ollama
-label:
-  en_US: Ollama
-icon_large:
-  en_US: icon_l_en.svg
-icon_small:
-  en_US: icon_s_en.svg
-background: "#F9FAFB"
-help:
-  title:
-    en_US: How to integrate with Ollama
-    zh_Hans: 如何集成 Ollama
-  url:
-    en_US: https://docs.dify.ai/tutorials/model-configuration/ollama
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: base_url
-      label:
-        zh_Hans: 基础 URL
-        en_US: Base URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: Ollama server 的基础 URL，例如 http://192.168.1.100:11434
-        en_US: Base url of Ollama server, e.g. http://192.168.1.100:11434
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: 模型类型
-        en_US: Completion mode
-      type: select
-      required: true
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: '4096'
-      type: text-input
-      required: true
-    - variable: vision_support
-      label:
-        zh_Hans: 是否支持 Vision
-        en_US: Vision support
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: 'false'
-      type: radio
-      required: false
-      options:
-        - value: 'true'
-          label:
-            en_US: 'Yes'
-            zh_Hans: 是
-        - value: 'false'
-          label:
-            en_US: 'No'
-            zh_Hans: 否
-    - variable: function_call_support
-      label:
-        zh_Hans: 是否支持函数调用
-        en_US: Function call support
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: 'false'
-      type: radio
-      required: false
-      options:
-        - value: 'true'
-          label:
-            en_US: 'Yes'
-            zh_Hans: 是
-        - value: 'false'
-          label:
-            en_US: 'No'
-            zh_Hans: 否
diff --git a/api/core/model_runtime/model_providers/ollama/text_embedding/__init__.py b/api/core/model_runtime/model_providers/ollama/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py
deleted file mode 100644
index 3543fe58bb..0000000000
--- a/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,212 +0,0 @@
-import json
-import logging
-import time
-from decimal import Decimal
-from typing import Optional
-from urllib.parse import urljoin
-
-import numpy as np
-import requests
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    PriceConfig,
-    PriceType,
-)
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-logger = logging.getLogger(__name__)
-
-
-class OllamaEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for an Ollama text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        # Prepare headers and payload for the request
-        headers = {"Content-Type": "application/json"}
-
-        endpoint_url = credentials.get("base_url")
-        assert endpoint_url is not None, "Base URL is required for Ollama API"
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-
-        endpoint_url = urljoin(endpoint_url, "api/embed")
-
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-
-        inputs = []
-        used_tokens = 0
-
-        for text in texts:
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-
-        # Prepare the payload for the request
-        payload = {"input": inputs, "model": model, "options": {"use_mmap": True}}
-
-        # Make the request to the Ollama API
-        response = requests.post(endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300))
-
-        response.raise_for_status()  # Raise an exception for HTTP errors
-        response_data = response.json()
-
-        # Extract embeddings and used tokens from the response
-        embeddings = response_data["embeddings"]
-        embedding_used_tokens = self.get_num_tokens(model, credentials, inputs)
-
-        used_tokens += embedding_used_tokens
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Approximate number of tokens for given messages using GPT2 tokenizer
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvokeError as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {ex.description}")
-        except Exception as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}")
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-                ModelPropertyKey.MAX_CHUNKS: 1,
-            },
-            parameter_rules=[],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        return entity
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeAuthorizationError: [
-                requests.exceptions.InvalidHeader,  # Missing or Invalid API Key
-            ],
-            InvokeBadRequestError: [
-                requests.exceptions.HTTPError,  # Invalid Endpoint URL or model name
-                requests.exceptions.InvalidURL,  # Misconfigured request or other API error
-            ],
-            InvokeRateLimitError: [
-                requests.exceptions.RetryError  # Too many requests sent in a short period of time
-            ],
-            InvokeServerUnavailableError: [
-                requests.exceptions.ConnectionError,  # Engine Overloaded
-                requests.exceptions.HTTPError,  # Server Error
-            ],
-            InvokeConnectionError: [
-                requests.exceptions.ConnectTimeout,  # Timeout
-                requests.exceptions.ReadTimeout,  # Timeout
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/openai/__init__.py b/api/core/model_runtime/model_providers/openai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg
deleted file mode 100644
index dae73f58d7..0000000000
--- a/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg
+++ /dev/null
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deleted file mode 100644
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-</svg>
diff --git a/api/core/model_runtime/model_providers/openai/_common.py b/api/core/model_runtime/model_providers/openai/_common.py
deleted file mode 100644
index ac2b3e6881..0000000000
--- a/api/core/model_runtime/model_providers/openai/_common.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import openai
-from httpx import Timeout
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonOpenAI:
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["openai_api_key"],
-            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
-            "max_retries": 1,
-        }
-
-        if credentials.get("openai_api_base"):
-            openai_api_base = credentials["openai_api_base"].rstrip("/")
-            credentials_kwargs["base_url"] = openai_api_base + "/v1"
-
-        if "openai_organization" in credentials:
-            credentials_kwargs["organization"] = credentials["openai_organization"]
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
-            InvokeServerUnavailableError: [openai.InternalServerError],
-            InvokeRateLimitError: [openai.RateLimitError],
-            InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
-            InvokeBadRequestError: [
-                openai.BadRequestError,
-                openai.NotFoundError,
-                openai.UnprocessableEntityError,
-                openai.APIError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/openai/llm/__init__.py b/api/core/model_runtime/model_providers/openai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/llm/_position.yaml b/api/core/model_runtime/model_providers/openai/llm/_position.yaml
deleted file mode 100644
index 0d3143c2ae..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/_position.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-- o1
-- o1-2024-12-17
-- o1-mini
-- o1-mini-2024-09-12
-- o3-mini
-- o3-mini-2025-01-31
-- gpt-4
-- gpt-4o
-- gpt-4o-2024-05-13
-- gpt-4o-2024-08-06
-- gpt-4o-2024-11-20
-- chatgpt-4o-latest
-- gpt-4o-mini
-- gpt-4o-mini-2024-07-18
-- gpt-4-turbo
-- gpt-4-turbo-2024-04-09
-- gpt-4-turbo-preview
-- gpt-4-32k
-- gpt-4-1106-preview
-- gpt-4-0125-preview
-- gpt-4-vision-preview
-- gpt-3.5-turbo
-- gpt-3.5-turbo-16k
-- gpt-3.5-turbo-16k-0613
-- gpt-3.5-turbo-0125
-- gpt-3.5-turbo-1106
-- gpt-3.5-turbo-0613
-- gpt-3.5-turbo-instruct
-- gpt-4o-audio-preview
-- o1-preview
-- o1-preview-2024-09-12
-- text-davinci-003
diff --git a/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml b/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml
deleted file mode 100644
index 19a5399a73..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: chatgpt-4o-latest
-label:
-  zh_Hans: chatgpt-4o-latest
-  en_US: chatgpt-4o-latest
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '2.50'
-  output: '10.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml
deleted file mode 100644
index ffa725ec40..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: gpt-3.5-turbo-0125
-label:
-  zh_Hans: gpt-3.5-turbo-0125
-  en_US: gpt-3.5-turbo-0125
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.0005'
-  output: '0.0015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml
deleted file mode 100644
index a1ad07d712..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: gpt-3.5-turbo-0613
-label:
-  zh_Hans: gpt-3.5-turbo-0613
-  en_US: gpt-3.5-turbo-0613
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0015'
-  output: '0.002'
-  unit: '0.001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml
deleted file mode 100644
index 21150fc3a6..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: gpt-3.5-turbo-1106
-label:
-  zh_Hans: gpt-3.5-turbo-1106
-  en_US: gpt-3.5-turbo-1106
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.001'
-  output: '0.002'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml
deleted file mode 100644
index 4e30279284..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: gpt-3.5-turbo-16k-0613
-label:
-  zh_Hans: gpt-3.5-turbo-16k-0613
-  en_US: gpt-3.5-turbo-16k-0613
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 16385
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.004'
-  unit: '0.001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml
deleted file mode 100644
index 3684c1945c..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: gpt-3.5-turbo-16k
-label:
-  zh_Hans: gpt-3.5-turbo-16k
-  en_US: gpt-3.5-turbo-16k
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 16385
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.003'
-  output: '0.004'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml
deleted file mode 100644
index ad831539e0..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: gpt-3.5-turbo-instruct
-label:
-  zh_Hans: gpt-3.5-turbo-instruct
-  en_US: gpt-3.5-turbo-instruct
-model_type: llm
-features: [ ]
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0015'
-  output: '0.002'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml
deleted file mode 100644
index d3a8ee535a..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: gpt-3.5-turbo
-label:
-  zh_Hans: gpt-3.5-turbo
-  en_US: gpt-3.5-turbo
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.0005'
-  output: '0.0015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml
deleted file mode 100644
index ac4ec5840b..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: gpt-4-0125-preview
-label:
-  zh_Hans: gpt-4-0125-preview
-  en_US: gpt-4-0125-preview
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml
deleted file mode 100644
index d775239770..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: gpt-4-1106-preview
-label:
-  zh_Hans: gpt-4-1106-preview
-  en_US: gpt-4-1106-preview
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml
deleted file mode 100644
index 8358425e6d..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: gpt-4-32k
-label:
-  zh_Hans: gpt-4-32k
-  en_US: gpt-4-32k
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 32768
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.06'
-  output: '0.12'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml
deleted file mode 100644
index 0234499164..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml
+++ /dev/null
@@ -1,57 +0,0 @@
-model: gpt-4-turbo-2024-04-09
-label:
-  zh_Hans: gpt-4-turbo-2024-04-09
-  en_US: gpt-4-turbo-2024-04-09
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml
deleted file mode 100644
index 8d29cf0c04..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: gpt-4-turbo-preview
-label:
-  zh_Hans: gpt-4-turbo-preview
-  en_US: gpt-4-turbo-preview
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml
deleted file mode 100644
index b25ff6a812..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml
+++ /dev/null
@@ -1,57 +0,0 @@
-model: gpt-4-turbo
-label:
-  zh_Hans: gpt-4-turbo
-  en_US: gpt-4-turbo
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml
deleted file mode 100644
index 07037c6643..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-model: gpt-4-vision-preview
-label:
-  zh_Hans: gpt-4-vision-preview
-  en_US: gpt-4-vision-preview
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.03'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml
deleted file mode 100644
index f7b5138b7d..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: gpt-4
-label:
-  zh_Hans: gpt-4
-  en_US: gpt-4
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US: If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.03'
-  output: '0.06'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml
deleted file mode 100644
index 2c86ec9460..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: gpt-4o-2024-05-13
-label:
-  zh_Hans: gpt-4o-2024-05-13
-  en_US: gpt-4o-2024-05-13
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '5.00'
-  output: '15.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml
deleted file mode 100644
index cabbe98717..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: gpt-4o-2024-08-06
-label:
-  zh_Hans: gpt-4o-2024-08-06
-  en_US: gpt-4o-2024-08-06
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-      - json_schema
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '2.50'
-  output: '10.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml
deleted file mode 100644
index 2c7c1c6eb5..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: gpt-4o-2024-11-20
-label:
-  zh_Hans: gpt-4o-2024-11-20
-  en_US: gpt-4o-2024-11-20
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-      - json_schema
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '2.50'
-  output: '10.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml
deleted file mode 100644
index e707acc507..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: gpt-4o-audio-preview
-label:
-  zh_Hans: gpt-4o-audio-preview
-  en_US: gpt-4o-audio-preview
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - audio
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '5.00'
-  output: '15.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml
deleted file mode 100644
index 0c1b74c513..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: gpt-4o-mini-2024-07-18
-label:
-  zh_Hans: gpt-4o-mini-2024-07-18
-  en_US: gpt-4o-mini-2024-07-18
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-      - json_schema
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.15'
-  output: '0.60'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml
deleted file mode 100644
index 0d52f06339..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: gpt-4o-mini
-label:
-  zh_Hans: gpt-4o-mini
-  en_US: gpt-4o-mini
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-      - json_schema
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.15'
-  output: '0.60'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml
deleted file mode 100644
index d6be36ad74..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-model: gpt-4o
-label:
-  zh_Hans: gpt-4o
-  en_US: gpt-4o
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 16384
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-      - json_schema
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '2.50'
-  output: '10.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py
deleted file mode 100644
index e9d59a4ae4..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/llm.py
+++ /dev/null
@@ -1,1211 +0,0 @@
-import json
-import logging
-import re
-from collections.abc import Generator
-from typing import Any, Optional, Union, cast
-
-import tiktoken
-from openai import OpenAI, Stream
-from openai.types import Completion
-from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall
-from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall
-from openai.types.chat.chat_completion_message import FunctionCall
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities import (
-    AssistantPromptMessage,
-    AudioPromptMessageContent,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, I18nObject, ModelType, PriceConfig
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-
-logger = logging.getLogger(__name__)
-
-OPENAI_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-
-class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
-    """
-    Model class for OpenAI large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # handle fine tune remote models
-        base_model = model
-        if model.startswith("ft:"):
-            base_model = model.split(":")[1]
-
-        # get model mode
-        model_mode = self.get_model_mode(base_model, credentials)
-
-        if model_mode == LLMMode.CHAT:
-            # chat model
-            return self._chat_generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-        else:
-            # text completion model
-            return self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        # handle fine tune remote models
-        base_model = model
-        if model.startswith("ft:"):
-            base_model = model.split(":")[1]
-
-        # get model mode
-        model_mode = self.get_model_mode(base_model, credentials)
-
-        # transform response format
-        if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}:
-            stop = stop or []
-            if model_mode == LLMMode.CHAT:
-                # chat model
-                self._transform_chat_json_prompts(
-                    model=base_model,
-                    credentials=credentials,
-                    prompt_messages=prompt_messages,
-                    model_parameters=model_parameters,
-                    tools=tools,
-                    stop=stop,
-                    stream=stream,
-                    user=user,
-                    response_format=model_parameters["response_format"],
-                )
-            else:
-                self._transform_completion_json_prompts(
-                    model=base_model,
-                    credentials=credentials,
-                    prompt_messages=prompt_messages,
-                    model_parameters=model_parameters,
-                    tools=tools,
-                    stop=stop,
-                    stream=stream,
-                    user=user,
-                    response_format=model_parameters["response_format"],
-                )
-            model_parameters.pop("response_format")
-
-        return self._invoke(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def _transform_chat_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts
-        """
-        if "```\n" not in stop:
-            stop.append("```\n")
-        if "\n```" not in stop:
-            stop.append("\n```")
-
-        # check if there is a system message
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            # override the system message
-            prompt_messages[0] = SystemPromptMessage(
-                content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}\n"))
-        else:
-            # insert the system message
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=OPENAI_BLOCK_MODE_PROMPT.replace(
-                        "{{instructions}}", f"Please output a valid {response_format} object."
-                    ).replace("{{block}}", response_format)
-                ),
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-
-    def _transform_completion_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts
-        """
-        if "```\n" not in stop:
-            stop.append("```\n")
-        if "\n```" not in stop:
-            stop.append("\n```")
-
-        # override the last user message
-        user_message = None
-        for i in range(len(prompt_messages) - 1, -1, -1):
-            if isinstance(prompt_messages[i], UserPromptMessage):
-                user_message = prompt_messages[i]
-                break
-
-        if user_message:
-            if prompt_messages[i].content[-11:] == "Assistant: ":
-                # now we are in the chat app, remove the last assistant message
-                prompt_messages[i].content = prompt_messages[i].content[:-11]
-                prompt_messages[i] = UserPromptMessage(
-                    content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", user_message.content).replace(
-                        "{{block}}", response_format
-                    )
-                )
-                prompt_messages[i].content += f"Assistant:\n```{response_format}\n"
-            else:
-                prompt_messages[i] = UserPromptMessage(
-                    content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", user_message.content).replace(
-                        "{{block}}", response_format
-                    )
-                )
-                prompt_messages[i].content += f"\n```{response_format}\n"
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # handle fine tune remote models
-        if model.startswith("ft:"):
-            base_model = model.split(":")[1]
-        else:
-            base_model = model
-
-        # get model mode
-        model_mode = self.get_model_mode(model)
-
-        if model_mode == LLMMode.CHAT:
-            # chat model
-            return self._num_tokens_from_messages(base_model, prompt_messages, tools)
-        else:
-            # text completion model, do not support tool calling
-            return self._num_tokens_from_string(base_model, prompt_messages[0].content)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            # handle fine tune remote models
-            base_model = model
-            # fine-tuned model name likes ft:gpt-3.5-turbo-0613:personal::xxxxx
-            if model.startswith("ft:"):
-                base_model = model.split(":")[1]
-
-                # check if model exists
-                remote_models = self.remote_models(credentials)
-                remote_model_map = {model.model: model for model in remote_models}
-                if model not in remote_model_map:
-                    raise CredentialsValidateFailedError(f"Fine-tuned model {model} not found")
-
-            # get model mode
-            model_mode = self.get_model_mode(base_model, credentials)
-
-            if model_mode == LLMMode.CHAT:
-                # chat model
-                client.chat.completions.create(
-                    messages=[{"role": "user", "content": "ping"}],
-                    model=model,
-                    temperature=0,
-                    max_tokens=20,
-                    stream=False,
-                )
-            else:
-                # text completion model
-                client.completions.create(
-                    prompt="ping",
-                    model=model,
-                    temperature=0,
-                    max_tokens=20,
-                    stream=False,
-                )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def remote_models(self, credentials: dict) -> list[AIModelEntity]:
-        """
-        Return remote models if credentials are provided.
-
-        :param credentials: provider credentials
-        :return:
-        """
-
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-
-        # get all remote models
-        remote_models = client.models.list()
-
-        fine_tune_models = [model for model in remote_models if model.id.startswith("ft:")]
-
-        ai_model_entities = []
-        for model in fine_tune_models:
-            base_model = model.id.split(":")[1]
-
-            base_model_schema = None
-            for predefined_model in self.predefined_models():
-                if predefined_model.model in base_model:
-                    base_model_schema = predefined_model
-                    break
-
-            if not base_model_schema:
-                continue
-
-            ai_model_entity = AIModelEntity(
-                model=model.id,
-                label=I18nObject(zh_Hans=model.id, en_US=model.id),
-                model_type=ModelType.LLM,
-                features=base_model_schema.features,
-                fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-                model_properties=base_model_schema.model_properties,
-                parameter_rules=base_model_schema.parameter_rules,
-                pricing=PriceConfig(input=0.003, output=0.006, unit=0.001, currency="USD"),
-            )
-
-            ai_model_entities.append(ai_model_entity)
-
-        return ai_model_entities
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm completion model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # init model client
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        if stream:
-            extra_model_kwargs["stream_options"] = {"include_usage": True}
-
-        # text completion model
-        response = client.completions.create(
-            prompt=prompt_messages[0].content,
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: Completion, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm completion response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm result
-        """
-        assistant_text = response.choices[0].text
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_text)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = self._num_tokens_from_string(model, assistant_text)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=response.model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: Stream[Completion], prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm completion stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        full_text = ""
-        prompt_tokens = 0
-        completion_tokens = 0
-
-        final_chunk = LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=""),
-            ),
-        )
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                if chunk.usage:
-                    # calculate num tokens
-                    prompt_tokens = chunk.usage.prompt_tokens
-                    completion_tokens = chunk.usage.completion_tokens
-                continue
-
-            delta = chunk.choices[0]
-
-            if delta.finish_reason is None and (delta.text is None or delta.text == ""):
-                continue
-
-            # transform assistant message to prompt message
-            text = delta.text or ""
-            assistant_prompt_message = AssistantPromptMessage(content=text)
-
-            full_text += text
-
-            if delta.finish_reason is not None:
-                final_chunk = LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-        if not prompt_tokens:
-            prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-
-        if not completion_tokens:
-            completion_tokens = self._num_tokens_from_string(model, full_text)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        final_chunk.delta.usage = usage
-
-        yield final_chunk
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm chat model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # init model client
-        client = OpenAI(**credentials_kwargs)
-
-        response_format = model_parameters.get("response_format")
-        if response_format:
-            if response_format == "json_schema":
-                json_schema = model_parameters.get("json_schema")
-                if not json_schema:
-                    raise ValueError("Must define JSON Schema when the response format is json_schema")
-                try:
-                    schema = json.loads(json_schema)
-                except:
-                    raise ValueError(f"not correct json_schema format: {json_schema}")
-                model_parameters.pop("json_schema")
-                model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema}
-            else:
-                model_parameters["response_format"] = {"type": response_format}
-        elif "json_schema" in model_parameters:
-            del model_parameters["json_schema"]
-
-        extra_model_kwargs = {}
-
-        if tools:
-            # extra_model_kwargs['tools'] = [helper.dump_model(PromptMessageFunction(function=tool)) for tool in tools]
-            extra_model_kwargs["functions"] = [
-                {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools
-            ]
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        if stream:
-            extra_model_kwargs["stream_options"] = {"include_usage": True}
-
-        # clear illegal prompt messages
-        prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)
-
-        # o1, o3 compatibility
-        block_as_stream = False
-        if model.startswith(("o1", "o3")):
-            if "max_tokens" in model_parameters:
-                model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
-                del model_parameters["max_tokens"]
-
-            if re.match(r"^o1(-\d{4}-\d{2}-\d{2})?$", model):
-                if stream:
-                    block_as_stream = True
-                    stream = False
-                    if "stream_options" in extra_model_kwargs:
-                        del extra_model_kwargs["stream_options"]
-
-            if "stop" in extra_model_kwargs:
-                del extra_model_kwargs["stop"]
-
-        # chat model
-        messages: Any = [self._convert_prompt_message_to_dict(m) for m in prompt_messages]
-        response = client.chat.completions.create(
-            messages=messages,
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)
-
-        block_result = self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
-
-        if block_as_stream:
-            return self._handle_chat_block_as_stream_response(block_result, prompt_messages, stop)
-
-        return block_result
-
-    def _handle_chat_block_as_stream_response(
-        self,
-        block_result: LLMResult,
-        prompt_messages: list[PromptMessage],
-        stop: Optional[list[str]] = None,
-    ) -> Generator[LLMResultChunk, None, None]:
-        """
-        Handle llm chat response
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response chunk generator
-        """
-        text = block_result.message.content
-        text = cast(str, text)
-
-        if stop:
-            text = self.enforce_stop_tokens(text, stop)
-
-        yield LLMResultChunk(
-            model=block_result.model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=block_result.system_fingerprint,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=block_result.message,
-                finish_reason="stop",
-                usage=block_result.usage,
-            ),
-        )
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: ChatCompletion,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        assistant_message = response.choices[0].message
-        # assistant_message_tool_calls = assistant_message.tool_calls
-        assistant_message_function_call = assistant_message.function_call
-
-        # extract tool calls from response
-        # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-        function_call = self._extract_response_function_call(assistant_message_function_call)
-        tool_calls = [function_call] if function_call else []
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-            completion_tokens = self._num_tokens_from_messages(model, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=response.model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return response
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        delta_assistant_message_function_call_storage: ChoiceDeltaFunctionCall = None
-        prompt_tokens = 0
-        completion_tokens = 0
-        final_tool_calls = []
-        final_chunk = LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=""),
-            ),
-        )
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                if chunk.usage:
-                    # calculate num tokens
-                    prompt_tokens = chunk.usage.prompt_tokens
-                    completion_tokens = chunk.usage.completion_tokens
-                continue
-
-            delta = chunk.choices[0]
-            has_finish_reason = delta.finish_reason is not None
-            # to fix issue #12215 yi model has special case for ligthing
-            # FIXME drop the case when yi model is updated
-            if model.startswith("yi-"):
-                if isinstance(delta.finish_reason, str):
-                    # doc: https://platform.lingyiwanwu.com/docs/api-reference
-                    has_finish_reason = delta.finish_reason.startswith(("length", "stop", "content_filter"))
-
-            if (
-                not has_finish_reason
-                and (delta.delta.content is None or delta.delta.content == "")
-                and delta.delta.function_call is None
-            ):
-                continue
-
-            # assistant_message_tool_calls = delta.delta.tool_calls
-            assistant_message_function_call = delta.delta.function_call
-
-            # extract tool calls from response
-            if delta_assistant_message_function_call_storage is not None:
-                # handle process of stream function call
-                if assistant_message_function_call:
-                    # message has not ended ever
-                    delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments
-                    continue
-                else:
-                    # message has ended
-                    assistant_message_function_call = delta_assistant_message_function_call_storage
-                    delta_assistant_message_function_call_storage = None
-            else:
-                if assistant_message_function_call:
-                    # start of stream function call
-                    delta_assistant_message_function_call_storage = assistant_message_function_call
-                    if delta_assistant_message_function_call_storage.arguments is None:
-                        delta_assistant_message_function_call_storage.arguments = ""
-                    if not has_finish_reason:
-                        continue
-
-            # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-            function_call = self._extract_response_function_call(assistant_message_function_call)
-            tool_calls = [function_call] if function_call else []
-            if tool_calls:
-                final_tool_calls.extend(tool_calls)
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls)
-
-            full_assistant_content += delta.delta.content or ""
-
-            if has_finish_reason:
-                final_chunk = LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-        if not prompt_tokens:
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-
-        if not completion_tokens:
-            full_assistant_prompt_message = AssistantPromptMessage(
-                content=full_assistant_content, tool_calls=final_tool_calls
-            )
-            completion_tokens = self._num_tokens_from_messages(model, [full_assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-        final_chunk.delta.usage = usage
-
-        yield final_chunk
-
-    def _extract_response_tool_calls(
-        self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.id, type=response_tool_call.type, function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _extract_response_function_call(
-        self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall
-    ) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract function call from response
-
-        :param response_function_call: response function call
-        :return: tool call
-        """
-        tool_call = None
-        if response_function_call:
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_function_call.name, arguments=response_function_call.arguments
-            )
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_function_call.name, type="function", function=function
-            )
-
-        return tool_call
-
-    def _clear_illegal_prompt_messages(self, model: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
-        """
-        Clear illegal prompt messages for OpenAI API
-
-        :param model: model name
-        :param prompt_messages: prompt messages
-        :return: cleaned prompt messages
-        """
-        checklist = ["gpt-4-turbo", "gpt-4-turbo-2024-04-09"]
-
-        if model in checklist:
-            # count how many user messages are there
-            user_message_count = len([m for m in prompt_messages if isinstance(m, UserPromptMessage)])
-            if user_message_count > 1:
-                for prompt_message in prompt_messages:
-                    if isinstance(prompt_message, UserPromptMessage):
-                        if isinstance(prompt_message.content, list):
-                            prompt_message.content = "\n".join(
-                                [
-                                    item.data
-                                    if item.type == PromptMessageContentType.TEXT
-                                    else "[IMAGE]"
-                                    if item.type == PromptMessageContentType.IMAGE
-                                    else ""
-                                    for item in prompt_message.content
-                                ]
-                            )
-
-        if model.startswith(("o1", "o3")):
-            system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)])
-            if system_message_count > 0:
-                new_prompt_messages = []
-                for prompt_message in prompt_messages:
-                    if isinstance(prompt_message, SystemPromptMessage):
-                        prompt_message = UserPromptMessage(
-                            content=prompt_message.content,
-                            name=prompt_message.name,
-                        )
-
-                    new_prompt_messages.append(prompt_message)
-                prompt_messages = new_prompt_messages
-
-        return prompt_messages
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI API
-        """
-        if isinstance(message, UserPromptMessage):
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            elif isinstance(message.content, list):
-                sub_messages = []
-                for message_content in message.content:
-                    if isinstance(message_content, TextPromptMessageContent):
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif isinstance(message_content, ImagePromptMessageContent):
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-                    elif isinstance(message_content, AudioPromptMessageContent):
-                        data_split = message_content.data.split(";base64,")
-                        base64_data = data_split[1]
-                        sub_message_dict = {
-                            "type": "input_audio",
-                            "input_audio": {
-                                "data": base64_data,
-                                "format": message_content.format,
-                            },
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                # message_dict["tool_calls"] = [tool_call.dict() for tool_call in
-                #                               message.tool_calls]
-                function_call = message.tool_calls[0]
-                message_dict["function_call"] = {
-                    "name": function_call.function.name,
-                    "arguments": function_call.function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            if isinstance(message.content, list):
-                text_contents = filter(lambda c: isinstance(c, TextPromptMessageContent), message.content)
-                message.content = "".join(c.data for c in text_contents)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            # message_dict = {
-            #     "role": "tool",
-            #     "content": message.content,
-            #     "tool_call_id": message.tool_call_id
-            # }
-            message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int:
-        """
-        Calculate num tokens for text completion model with tiktoken package.
-
-        :param model: model name
-        :param text: prompt text
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        try:
-            encoding = tiktoken.encoding_for_model(model)
-        except KeyError:
-            encoding = tiktoken.get_encoding("cl100k_base")
-
-        num_tokens = len(encoding.encode(text))
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    def _num_tokens_from_messages(
-        self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
-
-        Official documentation: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
-        if model.startswith("ft:"):
-            model = model.split(":")[1]
-
-        # Currently, we can use gpt4o to calculate chatgpt-4o-latest's token.
-        if model == "chatgpt-4o-latest" or model.startswith(("o1", "o3")):
-            model = "gpt-4o"
-
-        try:
-            encoding = tiktoken.encoding_for_model(model)
-        except KeyError:
-            logger.warning("Warning: model not found. Using cl100k_base encoding.")
-            model = "cl100k_base"
-            encoding = tiktoken.get_encoding(model)
-
-        if model.startswith("gpt-3.5-turbo-0301"):
-            # every message follows <im_start>{role/name}\n{content}<im_end>\n
-            tokens_per_message = 4
-            # if there's a name, the role is omitted
-            tokens_per_name = -1
-        elif model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4") or model.startswith(("o1", "o3")):
-            tokens_per_message = 3
-            tokens_per_name = 1
-        else:
-            raise NotImplementedError(
-                f"get_num_tokens_from_messages() is not presently implemented "
-                f"for model {model}."
-                "See https://platform.openai.com/docs/advanced-usage/managing-tokens for "
-                "information on how messages are converted to tokens."
-            )
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += len(encoding.encode(t_key))
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += len(encoding.encode(f_key))
-                                    num_tokens += len(encoding.encode(f_value))
-                            else:
-                                num_tokens += len(encoding.encode(t_key))
-                                num_tokens += len(encoding.encode(t_value))
-                else:
-                    num_tokens += len(encoding.encode(str(value)))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, encoding: tiktoken.Encoding, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling with tiktoken package.
-
-        :param encoding: encoding
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        num_tokens = 0
-        for tool in tools:
-            num_tokens += len(encoding.encode("type"))
-            num_tokens += len(encoding.encode("function"))
-
-            # calculate num tokens for function object
-            num_tokens += len(encoding.encode("name"))
-            num_tokens += len(encoding.encode(tool.name))
-            num_tokens += len(encoding.encode("description"))
-            num_tokens += len(encoding.encode(tool.description))
-            parameters = tool.parameters
-            num_tokens += len(encoding.encode("parameters"))
-            if "title" in parameters:
-                num_tokens += len(encoding.encode("title"))
-                num_tokens += len(encoding.encode(parameters.get("title")))
-            num_tokens += len(encoding.encode("type"))
-            num_tokens += len(encoding.encode(parameters.get("type")))
-            if "properties" in parameters:
-                num_tokens += len(encoding.encode("properties"))
-                for key, value in parameters.get("properties").items():
-                    num_tokens += len(encoding.encode(key))
-                    for field_key, field_value in value.items():
-                        num_tokens += len(encoding.encode(field_key))
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += len(encoding.encode(enum_field))
-                        else:
-                            num_tokens += len(encoding.encode(field_key))
-                            num_tokens += len(encoding.encode(str(field_value)))
-            if "required" in parameters:
-                num_tokens += len(encoding.encode("required"))
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += len(encoding.encode(required_field))
-
-        return num_tokens
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        OpenAI supports fine-tuning of their models. This method returns the schema of the base model
-        but renamed to the fine-tuned model name.
-
-        :param model: model name
-        :param credentials: credentials
-
-        :return: model schema
-        """
-        if not model.startswith("ft:"):
-            base_model = model
-        else:
-            # get base_model
-            base_model = model.split(":")[1]
-
-        # get model schema
-        base_model_schema = None
-        for predefined_model in self.predefined_models():
-            if base_model == predefined_model.model:
-                base_model_schema = predefined_model
-                break
-
-        if not base_model_schema:
-            raise ValueError(f"Base model {base_model} not found")
-
-        base_model_schema_features = base_model_schema.features or []
-        base_model_schema_model_properties = base_model_schema.model_properties
-        base_model_schema_parameters_rules = base_model_schema.parameter_rules
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(zh_Hans=model, en_US=model),
-            model_type=ModelType.LLM,
-            features=list(base_model_schema_features),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties=dict(base_model_schema_model_properties.items()),
-            parameter_rules=list(base_model_schema_parameters_rules),
-            pricing=base_model_schema.pricing,
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml
deleted file mode 100644
index 643258a23e..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-model: o1-2024-12-17
-label:
-  en_US: o1-2024-12-17
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 50000
-    min: 1
-    max: 50000
-  - name: reasoning_effort
-    label:
-      zh_Hans: 推理工作
-      en_US: reasoning_effort
-    type: string
-    help:
-      zh_Hans: 限制推理模型的推理工作
-      en_US: constrains effort on reasoning for reasoning models
-    required: false
-    options:
-      - low
-      - medium
-      - high
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '15.00'
-  output: '60.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml
deleted file mode 100644
index 0ade7f8ded..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: o1-mini-2024-09-12
-label:
-  zh_Hans: o1-mini-2024-09-12
-  en_US: o1-mini-2024-09-12
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 65536
-    min: 1
-    max: 65536
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '3.00'
-  output: '12.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml
deleted file mode 100644
index 60816c5d1e..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: o1-mini
-label:
-  zh_Hans: o1-mini
-  en_US: o1-mini
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 65536
-    min: 1
-    max: 65536
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '3.00'
-  output: '12.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml
deleted file mode 100644
index c9da96f611..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: o1-preview-2024-09-12
-label:
-  zh_Hans: o1-preview-2024-09-12
-  en_US: o1-preview-2024-09-12
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 32768
-    min: 1
-    max: 32768
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '15.00'
-  output: '60.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml
deleted file mode 100644
index c83874b765..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: o1-preview
-label:
-  zh_Hans: o1-preview
-  en_US: o1-preview
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 32768
-    min: 1
-    max: 32768
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '15.00'
-  output: '60.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o1.yaml b/api/core/model_runtime/model_providers/openai/llm/o1.yaml
deleted file mode 100644
index 53d5f719cc..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o1.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-model: o1
-label:
-  zh_Hans: o1
-  en_US: o1
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 50000
-    min: 1
-    max: 50000
-  - name: reasoning_effort
-    label:
-      zh_Hans: 推理工作
-      en_US: reasoning_effort
-    type: string
-    help:
-      zh_Hans: 限制推理模型的推理工作
-      en_US: constrains effort on reasoning for reasoning models
-    required: false
-    options:
-      - low
-      - medium
-      - high
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '15.00'
-  output: '60.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
deleted file mode 100644
index 3f717bf08d..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: o3-mini-2025-01-31
-label:
-  zh_Hans: o3-mini-2025-01-31
-  en_US: o3-mini-2025-01-31
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 100000
-    min: 1
-    max: 100000
-  - name: reasoning_effort
-    label:
-      zh_Hans: 推理工作
-      en_US: reasoning_effort
-    type: string
-    help:
-      zh_Hans: 限制推理模型的推理工作
-      en_US: constrains effort on reasoning for reasoning models
-    required: false
-    options:
-      - low
-      - medium
-      - high
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.10'
-  output: '4.40'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
deleted file mode 100644
index 755fc00595..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: o3-mini
-label:
-  zh_Hans: o3-mini
-  en_US: o3-mini
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    default: 100000
-    min: 1
-    max: 100000
-  - name: reasoning_effort
-    label:
-      zh_Hans: 推理工作
-      en_US: reasoning_effort
-    type: string
-    help:
-      zh_Hans: 限制推理模型的推理工作
-      en_US: constrains effort on reasoning for reasoning models
-    required: false
-    options:
-      - low
-      - medium
-      - high
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.10'
-  output: '4.40'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml b/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml
deleted file mode 100644
index 76b5d84875..0000000000
--- a/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-model: text-davinci-003
-label:
-  zh_Hans: text-davinci-003
-  en_US: text-davinci-003
-model_type: llm
-features: [ ]
-model_properties:
-  mode: completion
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-pricing:
-  input: '0.001'
-  output: '0.002'
-  unit: '0.001'
-  currency: USD
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/openai/moderation/__init__.py b/api/core/model_runtime/model_providers/openai/moderation/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/moderation/moderation.py b/api/core/model_runtime/model_providers/openai/moderation/moderation.py
index 227e4b0c15..9bf055ce6b 100644
--- a/api/core/model_runtime/model_providers/openai/moderation/moderation.py
+++ b/api/core/model_runtime/model_providers/openai/moderation/moderation.py
@@ -1,15 +1,25 @@
+from collections.abc import Mapping
 from typing import Optional
 
+import openai
+from httpx import Timeout
 from openai import OpenAI
 from openai.types import ModerationCreateResponse
 
 from core.model_runtime.entities.model_entities import ModelPropertyKey
+from core.model_runtime.errors.invoke import (
+    InvokeAuthorizationError,
+    InvokeBadRequestError,
+    InvokeConnectionError,
+    InvokeError,
+    InvokeRateLimitError,
+    InvokeServerUnavailableError,
+)
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.moderation_model import ModerationModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
 
 
-class OpenAIModerationModel(_CommonOpenAI, ModerationModel):
+class OpenAIModerationModel(ModerationModel):
     """
     Model class for OpenAI text moderation model.
     """
@@ -113,3 +123,48 @@ class OpenAIModerationModel(_CommonOpenAI, ModerationModel):
             return max_chunks
 
         return 1
+
+    def _to_credential_kwargs(self, credentials: Mapping) -> dict:
+        """
+        Transform credentials to kwargs for model instance
+
+        :param credentials:
+        :return:
+        """
+        credentials_kwargs = {
+            "api_key": credentials["openai_api_key"],
+            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
+            "max_retries": 1,
+        }
+
+        if credentials.get("openai_api_base"):
+            openai_api_base = credentials["openai_api_base"].rstrip("/")
+            credentials_kwargs["base_url"] = openai_api_base + "/v1"
+
+        if "openai_organization" in credentials:
+            credentials_kwargs["organization"] = credentials["openai_organization"]
+
+        return credentials_kwargs
+
+    @property
+    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
+        """
+        Map model invoke error to unified error
+        The key is the error type thrown to the caller
+        The value is the error type thrown by the model,
+        which needs to be converted into a unified error type for the caller.
+
+        :return: Invoke error mapping
+        """
+        return {
+            InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
+            InvokeServerUnavailableError: [openai.InternalServerError],
+            InvokeRateLimitError: [openai.RateLimitError],
+            InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
+            InvokeBadRequestError: [
+                openai.BadRequestError,
+                openai.NotFoundError,
+                openai.UnprocessableEntityError,
+                openai.APIError,
+            ],
+        }
diff --git a/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml b/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml
deleted file mode 100644
index 5ca1809167..0000000000
--- a/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: text-moderation-stable
-model_type: moderation
-model_properties:
-  max_chunks: 32
-  max_characters_per_chunk: 2000
diff --git a/api/core/model_runtime/model_providers/openai/openai.py b/api/core/model_runtime/model_providers/openai/openai.py
deleted file mode 100644
index c546441af6..0000000000
--- a/api/core/model_runtime/model_providers/openai/openai.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OpenAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `gpt-4o-mini` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="gpt-4o-mini", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/openai/openai.yaml b/api/core/model_runtime/model_providers/openai/openai.yaml
deleted file mode 100644
index b4dc8fd4f2..0000000000
--- a/api/core/model_runtime/model_providers/openai/openai.yaml
+++ /dev/null
@@ -1,89 +0,0 @@
-provider: openai
-label:
-  en_US: OpenAI
-description:
-  en_US: Models provided by OpenAI, such as GPT-3.5-Turbo and GPT-4.
-  zh_Hans: OpenAI 提供的模型，例如 GPT-3.5-Turbo 和 GPT-4。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#E5E7EB"
-help:
-  title:
-    en_US: Get your API Key from OpenAI
-    zh_Hans: 从 OpenAI 获取 API Key
-  url:
-    en_US: https://platform.openai.com/account/api-keys
-supported_model_types:
-  - llm
-  - text-embedding
-  - speech2text
-  - moderation
-  - tts
-configurate_methods:
-  - predefined-model
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: openai_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: openai_organization
-      label:
-        zh_Hans: 组织 ID
-        en_US: Organization
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的组织 ID
-        en_US: Enter your Organization ID
-    - variable: openai_api_base
-      label:
-        zh_Hans: API Base
-        en_US: API Base
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Base
-        en_US: Enter your API Base
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: openai_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: openai_organization
-      label:
-        zh_Hans: 组织 ID
-        en_US: Organization
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的组织 ID
-        en_US: Enter your Organization ID
-    - variable: openai_api_base
-      label:
-        zh_Hans: API Base
-        en_US: API Base
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Base, 如：https://api.openai.com
-        en_US: Enter your API Base, e.g. https://api.openai.com
diff --git a/api/core/model_runtime/model_providers/openai/speech2text/__init__.py b/api/core/model_runtime/model_providers/openai/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py
deleted file mode 100644
index ecf455c6fd..0000000000
--- a/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from typing import IO, Optional
-
-from openai import OpenAI
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-
-
-class OpenAISpeech2TextModel(_CommonOpenAI, Speech2TextModel):
-    """
-    Model class for OpenAI Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        return self._speech2text_invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._speech2text_invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _speech2text_invoke(self, model: str, credentials: dict, file: IO[bytes]) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :return: text for given audio file
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # init model client
-        client = OpenAI(**credentials_kwargs)
-
-        response = client.audio.transcriptions.create(model=model, file=file)
-
-        return response.text
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml b/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml
deleted file mode 100644
index 6c14c76619..0000000000
--- a/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: whisper-1
-model_type: speech2text
-model_properties:
-  file_upload_limit: 25
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openai/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml
deleted file mode 100644
index 9489170fde..0000000000
--- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: text-embedding-3-large
-model_type: text-embedding
-model_properties:
-  context_size: 8191
-  max_chunks: 32
-pricing:
-  input: '0.00013'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml
deleted file mode 100644
index 586ba2b28f..0000000000
--- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: text-embedding-3-small
-model_type: text-embedding
-model_properties:
-  context_size: 8191
-  max_chunks: 32
-pricing:
-  input: '0.00002'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml
deleted file mode 100644
index ef1c49b017..0000000000
--- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: text-embedding-ada-002
-model_type: text-embedding
-model_properties:
-  context_size: 8097
-  max_chunks: 32
-pricing:
-  input: '0.0001'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py
deleted file mode 100644
index 9c8c8d5882..0000000000
--- a/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,206 +0,0 @@
-import base64
-import time
-from typing import Optional, Union
-
-import numpy as np
-import tiktoken
-from openai import OpenAI
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-
-
-class OpenAITextEmbeddingModel(_CommonOpenAI, TextEmbeddingModel):
-    """
-    Model class for OpenAI text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        # init model client
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-
-        extra_model_kwargs["encoding_format"] = "base64"
-
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        embeddings: list[list[float]] = [[] for _ in range(len(texts))]
-        tokens = []
-        indices = []
-        used_tokens = 0
-
-        try:
-            enc = tiktoken.encoding_for_model(model)
-        except KeyError:
-            enc = tiktoken.get_encoding("cl100k_base")
-
-        for i, text in enumerate(texts):
-            token = enc.encode(text)
-            for j in range(0, len(token), context_size):
-                tokens += [token[j : j + context_size]]
-                indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(tokens), max_chunks)
-
-        for i in _iter:
-            # call embedding model
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model, client=client, texts=tokens[i : i + max_chunks], extra_model_kwargs=extra_model_kwargs
-            )
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        results: list[list[list[float]]] = [[] for _ in range(len(texts))]
-        num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))]
-        for i in range(len(indices)):
-            results[indices[i]].append(batched_embeddings[i])
-            num_tokens_in_batch[indices[i]].append(len(tokens[i]))
-
-        for i in range(len(texts)):
-            _result = results[i]
-            if len(_result) == 0:
-                embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                    model=model, client=client, texts="", extra_model_kwargs=extra_model_kwargs
-                )
-
-                used_tokens += embedding_used_tokens
-                average = embeddings_batch[0]
-            else:
-                average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
-            embedding = (average / np.linalg.norm(average)).tolist()
-            if np.isnan(embedding).any():
-                raise ValueError("Normalized embedding is nan please try again")
-            embeddings[i] = embedding
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-
-        try:
-            enc = tiktoken.encoding_for_model(model)
-        except KeyError:
-            enc = tiktoken.get_encoding("cl100k_base")
-
-        total_num_tokens = 0
-        for text in texts:
-            # calculate the number of tokens in the encoded text
-            tokenized_text = enc.encode(text)
-            total_num_tokens += len(tokenized_text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            # call embedding model
-            self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={})
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(
-        self, model: str, client: OpenAI, texts: Union[list[str], str], extra_model_kwargs: dict
-    ) -> tuple[list[list[float]], int]:
-        """
-        Invoke embedding model
-
-        :param model: model name
-        :param client: model client
-        :param texts: texts to embed
-        :param extra_model_kwargs: extra model kwargs
-        :return: embeddings and used tokens
-        """
-        # call embedding model
-        response = client.embeddings.create(
-            input=texts,
-            model=model,
-            **extra_model_kwargs,
-        )
-
-        if "encoding_format" in extra_model_kwargs and extra_model_kwargs["encoding_format"] == "base64":
-            # decode base64 embedding
-            return (
-                [list(np.frombuffer(base64.b64decode(data.embedding), dtype="float32")) for data in response.data],
-                response.usage.total_tokens,
-            )
-
-        return [data.embedding for data in response.data], response.usage.total_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/openai/tts/__init__.py b/api/core/model_runtime/model_providers/openai/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml b/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml
deleted file mode 100644
index 449c131f9d..0000000000
--- a/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: tts-1-hd
-model_type: tts
-model_properties:
-  default_voice: 'alloy'
-  voices:
-    - mode: 'alloy'
-      name: 'Alloy'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-    - mode: 'echo'
-      name: 'Echo'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-    - mode: 'fable'
-      name: 'Fable'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-    - mode: 'onyx'
-      name: 'Onyx'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-    - mode: 'nova'
-      name: 'Nova'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-    - mode: 'shimmer'
-      name: 'Shimmer'
-      language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
-pricing:
-  input: '0.03'
-  output: '0'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml b/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml
deleted file mode 100644
index 83969fb2f7..0000000000
--- a/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: tts-1
-model_type: tts
-model_properties:
-  default_voice: 'alloy'
-  voices:
-    - mode: 'alloy'
-      name: 'Alloy'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-    - mode: 'echo'
-      name: 'Echo'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-    - mode: 'fable'
-      name: 'Fable'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-    - mode: 'onyx'
-      name: 'Onyx'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-    - mode: 'nova'
-      name: 'Nova'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-    - mode: 'shimmer'
-      name: 'Shimmer'
-      language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-  word_limit: 3500
-  audio_type: 'mp3'
-  max_workers: 5
-pricing:
-  input: '0.015'
-  output: '0'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openai/tts/tts.py b/api/core/model_runtime/model_providers/openai/tts/tts.py
deleted file mode 100644
index dac37f0c7f..0000000000
--- a/api/core/model_runtime/model_providers/openai/tts/tts.py
+++ /dev/null
@@ -1,118 +0,0 @@
-import concurrent.futures
-from typing import Any, Optional
-
-from openai import OpenAI
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-
-
-class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
-    """
-    Model class for OpenAI text2speech model.
-    """
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-
-        if not voice or voice not in [
-            d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials)
-        ]:
-            voice = self._get_model_default_voice(model, credentials)
-        # if streaming:
-        return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
-        """
-        validate credentials text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        try:
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello Dify!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        try:
-            # doc: https://platform.openai.com/docs/guides/text-to-speech
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-            model_support_voice = [
-                x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials)
-            ]
-            if not voice or voice not in model_support_voice:
-                voice = self._get_model_default_voice(model, credentials)
-            word_limit = self._get_model_word_limit(model, credentials)
-            if len(content_text) > word_limit:
-                sentences = self._split_text_into_sentences(content_text, max_length=word_limit)
-                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
-                futures = [
-                    executor.submit(
-                        client.audio.speech.with_streaming_response.create,
-                        model=model,
-                        response_format="mp3",
-                        input=sentences[i],
-                        voice=voice,
-                    )
-                    for i in range(len(sentences))
-                ]
-                for future in futures:
-                    yield from future.result().__enter__().iter_bytes(1024)  # noqa:PLC2801
-
-            else:
-                response = client.audio.speech.with_streaming_response.create(
-                    model=model, voice=voice, response_format="mp3", input=content_text.strip()
-                )
-
-                yield from response.__enter__().iter_bytes(1024)  # noqa:PLC2801
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
-
-    def _process_sentence(self, sentence: str, model: str, voice, credentials: dict):
-        """
-        _tts_invoke openai text2speech model api
-
-        :param model: model name
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param sentence: text content to be translated
-        :return: text translated to audio file
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-        response = client.audio.speech.create(model=model, voice=voice, input=sentence.strip())
-        if isinstance(response.read(), bytes):
-            return response.read()
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/_common.py b/api/core/model_runtime/model_providers/openai_api_compatible/_common.py
deleted file mode 100644
index 1234e44f80..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/_common.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import requests
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonOaiApiCompat:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeAuthorizationError: [
-                requests.exceptions.InvalidHeader,  # Missing or Invalid API Key
-            ],
-            InvokeBadRequestError: [
-                requests.exceptions.HTTPError,  # Invalid Endpoint URL or model name
-                requests.exceptions.InvalidURL,  # Misconfigured request or other API error
-            ],
-            InvokeRateLimitError: [
-                requests.exceptions.RetryError  # Too many requests sent in a short period of time
-            ],
-            InvokeServerUnavailableError: [
-                requests.exceptions.ConnectionError,  # Engine Overloaded
-                requests.exceptions.HTTPError,  # Server Error
-            ],
-            InvokeConnectionError: [
-                requests.exceptions.ConnectTimeout,  # Timeout
-                requests.exceptions.ReadTimeout,  # Timeout
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
deleted file mode 100644
index 0f4c73814b..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py
+++ /dev/null
@@ -1,883 +0,0 @@
-import codecs
-import json
-from collections.abc import Generator
-from decimal import Decimal
-from typing import Optional, Union, cast
-from urllib.parse import urljoin
-
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageFunction,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-    PriceConfig,
-)
-from core.model_runtime.errors.invoke import InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
-from core.model_runtime.utils import helper
-
-
-class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
-    """
-    Model class for OpenAI large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        # text completion model
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model:
-        :param credentials:
-        :param prompt_messages:
-        :param tools: tools for tool calling
-        :return:
-        """
-        return self._num_tokens_from_messages(prompt_messages, tools, credentials)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials using requests to ensure compatibility with all providers following
-         OpenAI's API standard.
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            headers = {"Content-Type": "application/json"}
-
-            api_key = credentials.get("api_key")
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            endpoint_url = credentials["endpoint_url"]
-            if not endpoint_url.endswith("/"):
-                endpoint_url += "/"
-
-            # prepare the payload for a simple ping to the model
-            data = {"model": model, "max_tokens": 5}
-
-            completion_type = LLMMode.value_of(credentials["mode"])
-
-            if completion_type is LLMMode.CHAT:
-                data["messages"] = [
-                    {"role": "user", "content": "ping"},
-                ]
-                endpoint_url = urljoin(endpoint_url, "chat/completions")
-            elif completion_type is LLMMode.COMPLETION:
-                data["prompt"] = "ping"
-                endpoint_url = urljoin(endpoint_url, "completions")
-            else:
-                raise ValueError("Unsupported completion type for model configuration.")
-
-            # send a post request to validate the credentials
-            response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300))
-
-            if response.status_code != 200:
-                raise CredentialsValidateFailedError(
-                    f"Credentials validation failed with status code {response.status_code}"
-                )
-
-            try:
-                json_result = response.json()
-            except json.JSONDecodeError as e:
-                raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error")
-
-            if completion_type is LLMMode.CHAT and json_result.get("object", "") == "":
-                json_result["object"] = "chat.completion"
-            elif completion_type is LLMMode.COMPLETION and json_result.get("object", "") == "":
-                json_result["object"] = "text_completion"
-
-            if completion_type is LLMMode.CHAT and (
-                "object" not in json_result or json_result["object"] != "chat.completion"
-            ):
-                raise CredentialsValidateFailedError(
-                    "Credentials validation failed: invalid response object, must be 'chat.completion'"
-                )
-            elif completion_type is LLMMode.COMPLETION and (
-                "object" not in json_result or json_result["object"] != "text_completion"
-            ):
-                raise CredentialsValidateFailedError(
-                    "Credentials validation failed: invalid response object, must be 'text_completion'"
-                )
-        except CredentialsValidateFailedError:
-            raise
-        except Exception as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}")
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        features = []
-
-        function_calling_type = credentials.get("function_calling_type", "no_call")
-        if function_calling_type == "function_call":
-            features.append(ModelFeature.TOOL_CALL)
-        elif function_calling_type == "tool_call":
-            features.append(ModelFeature.MULTI_TOOL_CALL)
-
-        stream_function_calling = credentials.get("stream_function_calling", "supported")
-        if stream_function_calling == "supported":
-            features.append(ModelFeature.STREAM_TOOL_CALL)
-
-        vision_support = credentials.get("vision_support", "not_support")
-        if vision_support == "support":
-            features.append(ModelFeature.VISION)
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            features=features,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")),
-                ModelPropertyKey.MODE: credentials.get("mode"),
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name=DefaultParameterName.TEMPERATURE.value,
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    help=I18nObject(
-                        en_US="Kernel sampling threshold. Used to determine the randomness of the results."
-                        "The higher the value, the stronger the randomness."
-                        "The higher the possibility of getting different answers to the same question.",
-                        zh_Hans="核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。",
-                    ),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("temperature", 0.7)),
-                    min=0,
-                    max=2,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.TOP_P.value,
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    help=I18nObject(
-                        en_US="The probability threshold of the nucleus sampling method during the generation process."
-                        "The larger the value is, the higher the randomness of generation will be."
-                        "The smaller the value is, the higher the certainty of generation will be.",
-                        zh_Hans="生成过程中核采样方法概率阈值。取值越大，生成的随机性越高；取值越小，生成的确定性越高。",
-                    ),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("top_p", 1)),
-                    min=0,
-                    max=1,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.FREQUENCY_PENALTY.value,
-                    label=I18nObject(en_US="Frequency Penalty", zh_Hans="频率惩罚"),
-                    help=I18nObject(
-                        en_US="For controlling the repetition rate of words used by the model."
-                        "Increasing this can reduce the repetition of the same words in the model's output.",
-                        zh_Hans="用于控制模型已使用字词的重复率。 提高此项可以降低模型在输出中重复相同字词的重复度。",
-                    ),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("frequency_penalty", 0)),
-                    min=-2,
-                    max=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.PRESENCE_PENALTY.value,
-                    label=I18nObject(en_US="Presence Penalty", zh_Hans="存在惩罚"),
-                    help=I18nObject(
-                        en_US="Used to control the repetition rate when generating models."
-                        "Increasing this can reduce the repetition rate of model generation.",
-                        zh_Hans="用于控制模型生成时的重复度。提高此项可以降低模型生成的重复度。",
-                    ),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("presence_penalty", 0)),
-                    min=-2,
-                    max=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.MAX_TOKENS.value,
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    help=I18nObject(
-                        en_US="Maximum length of tokens for the model response.", zh_Hans="模型回答的tokens的最大长度。"
-                    ),
-                    type=ParameterType.INT,
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens_to_sample", 4096)),
-                ),
-            ],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                output=Decimal(credentials.get("output_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        if credentials["mode"] == "chat":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value
-        elif credentials["mode"] == "completion":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value
-        else:
-            raise ValueError(f"Unknown completion type {credentials['completion_type']}")
-
-        return entity
-
-    # validate_credentials method has been rewritten to use the requests library for compatibility with all providers
-    # following OpenAI's API standard.
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke llm completion model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        headers = {
-            "Content-Type": "application/json",
-            "Accept-Charset": "utf-8",
-        }
-        extra_headers = credentials.get("extra_headers")
-        if extra_headers is not None:
-            headers = {
-                **headers,
-                **extra_headers,
-            }
-
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        endpoint_url = credentials["endpoint_url"]
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-
-        response_format = model_parameters.get("response_format")
-        if response_format:
-            if response_format == "json_schema":
-                json_schema = model_parameters.get("json_schema")
-                if not json_schema:
-                    raise ValueError("Must define JSON Schema when the response format is json_schema")
-                try:
-                    schema = json.loads(json_schema)
-                except:
-                    raise ValueError(f"not correct json_schema format: {json_schema}")
-                model_parameters.pop("json_schema")
-                model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema}
-            else:
-                model_parameters["response_format"] = {"type": response_format}
-        elif "json_schema" in model_parameters:
-            del model_parameters["json_schema"]
-
-        data = {"model": model, "stream": stream, **model_parameters}
-
-        completion_type = LLMMode.value_of(credentials["mode"])
-
-        if completion_type is LLMMode.CHAT:
-            endpoint_url = urljoin(endpoint_url, "chat/completions")
-            data["messages"] = [self._convert_prompt_message_to_dict(m, credentials) for m in prompt_messages]
-        elif completion_type is LLMMode.COMPLETION:
-            endpoint_url = urljoin(endpoint_url, "completions")
-            data["prompt"] = prompt_messages[0].content
-        else:
-            raise ValueError("Unsupported completion type for model configuration.")
-
-        # annotate tools with names, descriptions, etc.
-        function_calling_type = credentials.get("function_calling_type", "no_call")
-        formatted_tools = []
-        if tools:
-            if function_calling_type == "function_call":
-                data["functions"] = [
-                    {"name": tool.name, "description": tool.description, "parameters": tool.parameters}
-                    for tool in tools
-                ]
-            elif function_calling_type == "tool_call":
-                data["tool_choice"] = "auto"
-
-                for tool in tools:
-                    formatted_tools.append(helper.dump_model(PromptMessageFunction(function=tool)))
-
-                data["tools"] = formatted_tools
-
-        if stop:
-            data["stop"] = stop
-
-        if user:
-            data["user"] = user
-
-        response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream)
-
-        if response.encoding is None or response.encoding == "ISO-8859-1":
-            response.encoding = "utf-8"
-
-        if response.status_code != 200:
-            raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}")
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _create_final_llm_result_chunk(
-        self,
-        index: int,
-        message: AssistantPromptMessage,
-        finish_reason: str,
-        usage: dict,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        full_content: str,
-    ) -> LLMResultChunk:
-        # calculate num tokens
-        prompt_tokens = usage and usage.get("prompt_tokens")
-        if prompt_tokens is None:
-            prompt_tokens = self._num_tokens_from_string(text=prompt_messages[0].content)
-        completion_tokens = usage and usage.get("completion_tokens")
-        if completion_tokens is None:
-            completion_tokens = self._num_tokens_from_string(text=full_content)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        return LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-        )
-
-    def _get_tool_call(self, tool_call_id: str, tools_calls: list[AssistantPromptMessage.ToolCall]):
-        """
-        Get or create a tool call by ID
-
-        :param tool_call_id: tool call ID
-        :param tools_calls: list of existing tool calls
-        :return: existing or new tool call, updated tools_calls
-        """
-        if not tool_call_id:
-            return tools_calls[-1], tools_calls
-
-        tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
-        if tool_call is None:
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=tool_call_id,
-                type="function",
-                function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
-            )
-            tools_calls.append(tool_call)
-
-        return tool_call, tools_calls
-
-    def _increase_tool_call(
-        self, new_tool_calls: list[AssistantPromptMessage.ToolCall], tools_calls: list[AssistantPromptMessage.ToolCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        for new_tool_call in new_tool_calls:
-            # get tool call
-            tool_call, tools_calls = self._get_tool_call(new_tool_call.function.name, tools_calls)
-            # update tool call
-            if new_tool_call.id:
-                tool_call.id = new_tool_call.id
-            if new_tool_call.type:
-                tool_call.type = new_tool_call.type
-            if new_tool_call.function.name:
-                tool_call.function.name = new_tool_call.function.name
-            if new_tool_call.function.arguments:
-                tool_call.function.arguments += new_tool_call.function.arguments
-        return tools_calls
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: streamed response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        chunk_index = 0
-        full_assistant_content = ""
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-        finish_reason = None
-        usage = None
-        is_reasoning_started = False
-        # delimiter for stream response, need unicode_escape
-        delimiter = credentials.get("stream_mode_delimiter", "\n\n")
-        delimiter = codecs.decode(delimiter, "unicode_escape")
-        for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
-            chunk = chunk.strip()
-            if chunk:
-                # ignore sse comments
-                if chunk.startswith(":"):
-                    continue
-                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
-                if decoded_chunk == "[DONE]":  # Some provider returns "data: [DONE]"
-                    continue
-
-                try:
-                    chunk_json: dict = json.loads(decoded_chunk)
-                # stream ended
-                except json.JSONDecodeError as e:
-                    yield self._create_final_llm_result_chunk(
-                        index=chunk_index + 1,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason="Non-JSON encountered.",
-                        usage=usage,
-                        model=model,
-                        credentials=credentials,
-                        prompt_messages=prompt_messages,
-                        full_content=full_assistant_content,
-                    )
-                    break
-                # handle the error here. for issue #11629
-                if chunk_json.get("error") and chunk_json.get("choices") is None:
-                    raise ValueError(chunk_json.get("error"))
-
-                if chunk_json:
-                    if u := chunk_json.get("usage"):
-                        usage = u
-                if not chunk_json or len(chunk_json["choices"]) == 0:
-                    continue
-
-                choice = chunk_json["choices"][0]
-                finish_reason = chunk_json["choices"][0].get("finish_reason")
-                chunk_index += 1
-
-                if "delta" in choice:
-                    delta = choice["delta"]
-                    delta_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
-                        delta, is_reasoning_started
-                    )
-
-                    assistant_message_tool_calls = None
-
-                    if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
-                        assistant_message_tool_calls = delta.get("tool_calls", None)
-                    elif (
-                        "function_call" in delta
-                        and credentials.get("function_calling_type", "no_call") == "function_call"
-                    ):
-                        assistant_message_tool_calls = [
-                            {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
-                        ]
-
-                    # extract tool calls from response
-                    if assistant_message_tool_calls:
-                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        tools_calls = self._increase_tool_call(tool_calls, tools_calls)
-
-                    if delta_content is None or delta_content == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=delta_content,
-                    )
-
-                    # reset tool calls
-                    tool_calls = []
-                    full_assistant_content += delta_content
-                elif "text" in choice:
-                    choice_text = choice.get("text", "")
-                    if choice_text == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
-                    full_assistant_content += choice_text
-                else:
-                    continue
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-        if tools_calls:
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
-                ),
-            )
-
-        yield self._create_final_llm_result_chunk(
-            index=chunk_index,
-            message=AssistantPromptMessage(content=""),
-            finish_reason=finish_reason,
-            usage=usage,
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            full_content=full_assistant_content,
-        )
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        response_json: dict = response.json()
-
-        completion_type = LLMMode.value_of(credentials["mode"])
-
-        output = response_json["choices"][0]
-        message_id = response_json.get("id")
-
-        response_content = ""
-        tool_calls = None
-        function_calling_type = credentials.get("function_calling_type", "no_call")
-        if completion_type is LLMMode.CHAT:
-            response_content = output.get("message", {})["content"]
-            if function_calling_type == "tool_call":
-                tool_calls = output.get("message", {}).get("tool_calls")
-            elif function_calling_type == "function_call":
-                tool_calls = output.get("message", {}).get("function_call")
-
-        elif completion_type is LLMMode.COMPLETION:
-            response_content = output["text"]
-
-        assistant_message = AssistantPromptMessage(content=response_content, tool_calls=[])
-
-        if tool_calls:
-            if function_calling_type == "tool_call":
-                assistant_message.tool_calls = self._extract_response_tool_calls(tool_calls)
-            elif function_calling_type == "function_call":
-                assistant_message.tool_calls = [self._extract_response_function_call(tool_calls)]
-
-        usage = response_json.get("usage")
-        if usage:
-            # transform usage
-            prompt_tokens = usage["prompt_tokens"]
-            completion_tokens = usage["completion_tokens"]
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = self._num_tokens_from_string(model, assistant_message.content)
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            id=message_id,
-            model=response_json["model"],
-            prompt_messages=prompt_messages,
-            message=assistant_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI API format
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(PromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                function_calling_type = credentials.get("function_calling_type", "no_call")
-                if function_calling_type == "tool_call":
-                    message_dict["tool_calls"] = [tool_call.dict() for tool_call in message.tool_calls]
-                elif function_calling_type == "function_call":
-                    function_call = message.tool_calls[0]
-                    message_dict["function_call"] = {
-                        "name": function_call.function.name,
-                        "arguments": function_call.function.arguments,
-                    }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            function_calling_type = credentials.get("function_calling_type", "no_call")
-            if function_calling_type == "tool_call":
-                message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id}
-            elif function_calling_type == "function_call":
-                message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name and message_dict.get("role", "") != "tool":
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _num_tokens_from_string(
-        self, text: Union[str, list[PromptMessageContent]], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """
-        Approximate num tokens for model with gpt2 tokenizer.
-
-        :param text: prompt text
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        if isinstance(text, str):
-            full_text = text
-        else:
-            full_text = ""
-            for message_content in text:
-                if message_content.type == PromptMessageContentType.TEXT:
-                    message_content = cast(PromptMessageContent, message_content)
-                    full_text += message_content.data
-
-        num_tokens = self._get_num_tokens_by_gpt2(full_text)
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_from_messages(
-        self,
-        messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-        credentials: Optional[dict] = None,
-    ) -> int:
-        """
-        Approximate num tokens with GPT2 tokenizer.
-        """
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m, credentials) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += self._get_num_tokens_by_gpt2(t_key)
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += self._get_num_tokens_by_gpt2(f_key)
-                                    num_tokens += self._get_num_tokens_by_gpt2(f_value)
-                            else:
-                                num_tokens += self._get_num_tokens_by_gpt2(t_key)
-                                num_tokens += self._get_num_tokens_by_gpt2(t_value)
-                else:
-                    num_tokens += self._get_num_tokens_by_gpt2(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling with tiktoken package.
-
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        num_tokens = 0
-        for tool in tools:
-            num_tokens += self._get_num_tokens_by_gpt2("type")
-            num_tokens += self._get_num_tokens_by_gpt2("function")
-            num_tokens += self._get_num_tokens_by_gpt2("function")
-
-            # calculate num tokens for function object
-            num_tokens += self._get_num_tokens_by_gpt2("name")
-            if hasattr(tool, "name"):
-                num_tokens += self._get_num_tokens_by_gpt2(tool.name)
-            num_tokens += self._get_num_tokens_by_gpt2("description")
-            if hasattr(tool, "description"):
-                num_tokens += self._get_num_tokens_by_gpt2(tool.description)
-            if hasattr(tool, "parameters"):
-                parameters = tool.parameters
-                num_tokens += self._get_num_tokens_by_gpt2("parameters")
-                if "title" in parameters:
-                    num_tokens += self._get_num_tokens_by_gpt2("title")
-                    num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
-                num_tokens += self._get_num_tokens_by_gpt2("type")
-                num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
-                if "properties" in parameters:
-                    num_tokens += self._get_num_tokens_by_gpt2("properties")
-                    for key, value in parameters.get("properties", {}).items():
-                        num_tokens += self._get_num_tokens_by_gpt2(key)
-                        for field_key, field_value in value.items():
-                            num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                            if field_key == "enum":
-                                for enum_field in field_value:
-                                    num_tokens += 3
-                                    num_tokens += self._get_num_tokens_by_gpt2(enum_field)
-                            else:
-                                num_tokens += self._get_num_tokens_by_gpt2(field_key)
-                                num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
-                if "required" in parameters:
-                    num_tokens += self._get_num_tokens_by_gpt2("required")
-                    for required_field in parameters["required"]:
-                        num_tokens += 3
-                        num_tokens += self._get_num_tokens_by_gpt2(required_field)
-
-        return num_tokens
-
-    def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.get("function", {}).get("name", ""),
-                    arguments=response_tool_call.get("function", {}).get("arguments", ""),
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.get("id", ""), type=response_tool_call.get("type", ""), function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _extract_response_function_call(self, response_function_call) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract function call from response
-
-        :param response_function_call: response function call
-        :return: tool call
-        """
-        tool_call = None
-        if response_function_call:
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_function_call.get("name", ""), arguments=response_function_call.get("arguments", "")
-            )
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_function_call.get("id", ""), type="function", function=function
-            )
-
-        return tool_call
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py b/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py
deleted file mode 100644
index ca6f185287..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OAICompatProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml b/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml
deleted file mode 100644
index 2b8dcb72d8..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml
+++ /dev/null
@@ -1,193 +0,0 @@
-provider: openai_api_compatible
-label:
-  en_US: OpenAI-API-compatible
-description:
-  en_US: Model providers compatible with OpenAI's API standard, such as LM Studio.
-  zh_Hans: 兼容 OpenAI API 的模型供应商，例如 LM Studio 。
-supported_model_types:
-  - llm
-  - text-embedding
-  - speech2text
-  - rerank
-  - tts
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter full model name
-      zh_Hans: 输入模型全称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        zh_Hans: API endpoint URL
-        en_US: API endpoint URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: Base URL, e.g. https://api.openai.com/v1
-        en_US: Base URL, e.g. https://api.openai.com/v1
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      show_on:
-        - variable: __model_type
-          value: llm
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      show_on:
-        - variable: __model_type
-          value: text-embedding
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      show_on:
-        - variable: __model_type
-          value: rerank
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens_to_sample
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: "4096"
-      type: text-input
-    - variable: function_calling_type
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: function_call
-          label:
-            en_US: Function Call
-            zh_Hans: Function Call
-        - value: tool_call
-          label:
-            en_US: Tool Call
-            zh_Hans: Tool Call
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-    - variable: stream_function_calling
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Stream function calling
-      type: select
-      required: false
-      default: not_supported
-      options:
-        - value: supported
-          label:
-            en_US: Support
-            zh_Hans: 支持
-        - value: not_supported
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-    - variable: vision_support
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: Vision 支持
-        en_US: Vision Support
-      type: select
-      required: false
-      default: no_support
-      options:
-        - value: support
-          label:
-            en_US: Support
-            zh_Hans: 支持
-        - value: no_support
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-    - variable: stream_mode_delimiter
-      label:
-        zh_Hans: 流模式返回结果的分隔符
-        en_US: Delimiter for streaming results
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: '\n\n'
-      type: text-input
-    - variable: voices
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: Available Voices (comma-separated)
-        zh_Hans: 可用声音（用英文逗号分隔）
-      type: text-input
-      required: false
-      default: "alloy"
-      placeholder:
-        en_US: "alloy,echo,fable,onyx,nova,shimmer"
-        zh_Hans: "alloy,echo,fable,onyx,nova,shimmer"
-      help:
-        en_US: "List voice names separated by commas. First voice will be used as default."
-        zh_Hans: "用英文逗号分隔的声音列表。第一个声音将作为默认值。"
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py b/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py
deleted file mode 100644
index 407dc7190e..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py
+++ /dev/null
@@ -1,165 +0,0 @@
-from json import dumps
-from typing import Optional
-
-import httpx
-from requests import post
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class OAICompatRerankModel(RerankModel):
-    """
-    rerank model API is compatible with Jina rerank model API. So copy the JinaRerankModel class code here.
-    we need enhance for llama.cpp , which return raw score, not normalize score 0~1.  It seems Dify need it
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        server_url = credentials["endpoint_url"]
-        model_name = model
-
-        if not server_url:
-            raise CredentialsValidateFailedError("server_url is required")
-        if not model_name:
-            raise CredentialsValidateFailedError("model_name is required")
-
-        url = server_url
-        headers = {"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"}
-
-        # TODO: Do we need truncate docs to avoid llama.cpp return error?
-
-        data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n, "return_documents": True}
-
-        try:
-            response = post(str(URL(url) / "rerank"), headers=headers, data=dumps(data), timeout=60)
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            scores = [result["relevance_score"] for result in results["results"]]
-
-            # Min-Max Normalization: Normalize scores to 0 ~ 1.0 range
-            min_score = min(scores)
-            max_score = max(scores)
-            score_range = max_score - min_score if max_score != min_score else 1.0  # Avoid division by zero
-
-            for result in results["results"]:
-                index = result["index"]
-
-                # Retrieve document text (fallback if llama.cpp rerank doesn't return it)
-                text = docs[index]
-                document = result.get("document", {})
-                if document:
-                    if isinstance(document, dict):
-                        text = document.get("text", docs[index])
-                    elif isinstance(document, str):
-                        text = document
-
-                # Normalize the score
-                normalized_score = (result["relevance_score"] - min_score) / score_range
-
-                # Create RerankDocument object with normalized score
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=text,
-                    score=normalized_score,
-                )
-
-                # Apply threshold (if defined)
-                if score_threshold is None or normalized_score >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            # Sort rerank_documents by normalized score in descending order
-            rerank_documents.sort(key=lambda doc: doc.score, reverse=True)
-
-            return RerankResult(model=model, docs=rerank_documents)
-
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py b/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py
deleted file mode 100644
index 74229a089a..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from typing import IO, Optional
-from urllib.parse import urljoin
-
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
-
-
-class OAICompatSpeech2TextModel(_CommonOaiApiCompat, Speech2TextModel):
-    """
-    Model class for OpenAI Compatible Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        headers = {}
-
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        endpoint_url = credentials.get("endpoint_url")
-        assert endpoint_url is not None, "endpoint_url is required in credentials"
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-        endpoint_url = urljoin(endpoint_url, "audio/transcriptions")
-
-        payload = {"model": model}
-        files = [("file", file)]
-        response = requests.post(endpoint_url, headers=headers, data=payload, files=files)
-
-        if response.status_code != 200:
-            raise InvokeBadRequestError(response.text)
-        response_data = response.json()
-        return response_data["text"]
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py
deleted file mode 100644
index b4d6c6c6ca..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,222 +0,0 @@
-import json
-import time
-from decimal import Decimal
-from typing import Optional
-from urllib.parse import urljoin
-
-import numpy as np
-import requests
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    PriceConfig,
-    PriceType,
-)
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
-
-
-class OAICompatEmbeddingModel(_CommonOaiApiCompat, TextEmbeddingModel):
-    """
-    Model class for an OpenAI API-compatible text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        # Prepare headers and payload for the request
-        headers = {"Content-Type": "application/json"}
-
-        api_key = credentials.get("api_key")
-        if api_key:
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        endpoint_url = credentials.get("endpoint_url")
-        assert endpoint_url is not None, "endpoint_url is required in credentials"
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-
-        endpoint_url = urljoin(endpoint_url, "embeddings")
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-
-        extra_model_kwargs["encoding_format"] = "float"
-
-        # get model properties
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            # TODO: Optimize for better token estimation and chunking
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        for i in _iter:
-            # Prepare the payload for the request
-            payload = {"input": inputs[i : i + max_chunks], "model": model, **extra_model_kwargs}
-
-            # Make the request to the OpenAI API
-            response = requests.post(endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300))
-
-            response.raise_for_status()  # Raise an exception for HTTP errors
-            response_data = response.json()
-
-            # Extract embeddings and used tokens from the response
-            embeddings_batch = [data["embedding"] for data in response_data["data"]]
-            embedding_used_tokens = response_data["usage"]["total_tokens"]
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Approximate number of tokens for given messages using GPT2 tokenizer
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            headers = {"Content-Type": "application/json"}
-
-            api_key = credentials.get("api_key")
-
-            if api_key:
-                headers["Authorization"] = f"Bearer {api_key}"
-
-            endpoint_url = credentials.get("endpoint_url", "")
-            if not endpoint_url.endswith("/"):
-                endpoint_url += "/"
-
-            endpoint_url = urljoin(endpoint_url, "embeddings")
-
-            payload = {"input": "ping", "model": model}
-            # For nvidia models, the "input_type":"query" need in the payload
-            # more to check issue #11193 or NvidiaTextEmbeddingModel
-            if model.startswith("nvidia/"):
-                payload["input_type"] = "query"
-
-            response = requests.post(url=endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300))
-
-            if response.status_code != 200:
-                raise CredentialsValidateFailedError(
-                    f"Credentials validation failed with status code {response.status_code}"
-                )
-
-            try:
-                json_result = response.json()
-            except json.JSONDecodeError as e:
-                raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error")
-
-            if "model" not in json_result:
-                raise CredentialsValidateFailedError("Credentials validation failed: invalid response")
-        except CredentialsValidateFailedError:
-            raise
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-                ModelPropertyKey.MAX_CHUNKS: 1,
-            },
-            parameter_rules=[],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        return entity
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/tts/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py b/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py
deleted file mode 100644
index 53e895b0ec..0000000000
--- a/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py
+++ /dev/null
@@ -1,146 +0,0 @@
-from collections.abc import Iterable
-from typing import Optional
-from urllib.parse import urljoin
-
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat
-
-
-class OAICompatText2SpeechModel(_CommonOaiApiCompat, TTSModel):
-    """
-    Model class for OpenAI-compatible text2speech model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        tenant_id: str,
-        credentials: dict,
-        content_text: str,
-        voice: str,
-        user: Optional[str] = None,
-    ) -> Iterable[bytes]:
-        """
-        Invoke TTS model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model voice/speaker
-        :param user: unique user id
-        :return: audio data as bytes iterator
-        """
-        # Set up headers with authentication if provided
-        headers = {}
-        if api_key := credentials.get("api_key"):
-            headers["Authorization"] = f"Bearer {api_key}"
-
-        # Construct endpoint URL
-        endpoint_url = credentials.get("endpoint_url")
-        assert endpoint_url is not None, "endpoint_url is required in credentials"
-        if not endpoint_url.endswith("/"):
-            endpoint_url += "/"
-        endpoint_url = urljoin(endpoint_url, "audio/speech")
-
-        # Get audio format from model properties
-        audio_format = self._get_model_audio_type(model, credentials)
-
-        # Split text into chunks if needed based on word limit
-        word_limit = self._get_model_word_limit(model, credentials)
-        sentences = self._split_text_into_sentences(content_text, word_limit)
-
-        for sentence in sentences:
-            # Prepare request payload
-            payload = {"model": model, "input": sentence, "voice": voice, "response_format": audio_format}
-
-            # Make POST request
-            response = requests.post(endpoint_url, headers=headers, json=payload, stream=True)
-
-            if response.status_code != 200:
-                raise InvokeBadRequestError(response.text)
-
-            # Stream the audio data
-            for chunk in response.iter_content(chunk_size=4096):
-                if chunk:
-                    yield chunk
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # Get default voice for validation
-            voice = self._get_model_default_voice(model, credentials)
-
-            # Test with a simple text
-            next(
-                self._invoke(
-                    model=model, tenant_id="validate", credentials=credentials, content_text="Test.", voice=voice
-                )
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        Get customizable model schema
-        """
-        # Parse voices from comma-separated string
-        voice_names = credentials.get("voices", "alloy").strip().split(",")
-        voices = []
-
-        for voice in voice_names:
-            voice = voice.strip()
-            if not voice:
-                continue
-
-            # Use en-US for all voices
-            voices.append(
-                {
-                    "name": voice,
-                    "mode": voice,
-                    "language": "en-US",
-                }
-            )
-
-        # If no voices provided or all voices were empty strings, use 'alloy' as default
-        if not voices:
-            voices = [{"name": "Alloy", "mode": "alloy", "language": "en-US"}]
-
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TTS,
-            model_properties={
-                ModelPropertyKey.AUDIO_TYPE: credentials.get("audio_type", "mp3"),
-                ModelPropertyKey.WORD_LIMIT: int(credentials.get("word_limit", 4096)),
-                ModelPropertyKey.DEFAULT_VOICE: voices[0]["mode"],
-                ModelPropertyKey.VOICES: voices,
-            },
-        )
-
-    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
-        """
-        Override base get_tts_model_voices to handle customizable voices
-        """
-        model_schema = self.get_customizable_model_schema(model, credentials)
-
-        if not model_schema or ModelPropertyKey.VOICES not in model_schema.model_properties:
-            raise ValueError("this model does not support voice")
-
-        voices = model_schema.model_properties[ModelPropertyKey.VOICES]
-
-        # Always return all voices regardless of language
-        return [{"name": d["name"], "value": d["mode"]} for d in voices]
diff --git a/api/core/model_runtime/model_providers/openllm/__init__.py b/api/core/model_runtime/model_providers/openllm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg
deleted file mode 100644
index 59bb57992c..0000000000
--- a/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,19 +0,0 @@
-<svg width="92" height="25" viewBox="0 0 92 25" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g clip-path="url(#clip0_9850_26886)">
-<path d="M24.9181 1.27026C24.8737 1.12859 24.813 0.994621 24.7379 0.871257C24.6473 0.721871 24.5355 0.586942 24.4073 0.470325C24.3861 0.451049 24.3639 0.431773 24.3417 0.413462C24.1856 0.284315 24.0073 0.181191 23.8136 0.109871C23.6199 0.0385512 23.4107 0 23.1929 0H6.99952C6.96289 0 6.92627 0.00192756 6.88965 0.00385512C6.87905 0.00385512 6.86748 0.00578268 6.85688 0.00674646C6.83086 0.00867402 6.80387 0.0115654 6.77785 0.0144567C6.76628 0.0154205 6.75568 0.017348 6.74508 0.0183118C6.71424 0.0231307 6.6834 0.0279496 6.65256 0.0337323C6.64774 0.0337323 6.64388 0.0356599 6.63906 0.0356599C6.60437 0.0424063 6.56967 0.0510803 6.53594 0.0597543C6.5263 0.0626457 6.51666 0.065537 6.50703 0.0674646C6.48197 0.074211 6.45691 0.0819213 6.43185 0.0905953C6.42125 0.0944504 6.41065 0.0973418 6.40101 0.101197C6.37403 0.110835 6.34704 0.120472 6.32102 0.132038C6.31524 0.134929 6.30849 0.136857 6.30271 0.139748C6.2709 0.153241 6.2391 0.167698 6.20729 0.183118C6.19958 0.186973 6.19187 0.190828 6.18416 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-<clipPath id="clip0_9866_5923">
-<rect width="24" height="24.0945" fill="white"/>
-</clipPath>
-</defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/openllm/llm/__init__.py b/api/core/model_runtime/model_providers/openllm/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openllm/llm/llm.py b/api/core/model_runtime/model_providers/openllm/llm/llm.py
deleted file mode 100644
index e5ecc748fb..0000000000
--- a/api/core/model_runtime/model_providers/openllm/llm/llm.py
+++ /dev/null
@@ -1,265 +0,0 @@
-from collections.abc import Generator
-from typing import Optional
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.openllm.llm.openllm_generate import OpenLLMGenerate, OpenLLMGenerateMessage
-from core.model_runtime.model_providers.openllm.llm.openllm_generate_errors import (
-    BadRequestError,
-    InsufficientAccountBalanceError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-
-class OpenLLMLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate credentials for Baichuan model
-        """
-        if not credentials.get("server_url"):
-            raise CredentialsValidateFailedError("Invalid server URL")
-
-        # ping
-        instance = OpenLLMGenerate()
-        try:
-            instance.generate(
-                server_url=credentials["server_url"],
-                model_name=model,
-                prompt_messages=[OpenLLMGenerateMessage(content="ping\nAnswer: ", role="user")],
-                model_parameters={
-                    "max_tokens": 64,
-                    "temperature": 0.8,
-                    "top_p": 0.9,
-                    "top_k": 15,
-                },
-                stream=False,
-                user="",
-                stop=[],
-            )
-        except InvalidAuthenticationError as e:
-            raise CredentialsValidateFailedError(f"Invalid API key: {e}")
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        return self._num_tokens_from_messages(prompt_messages, tools)
-
-    def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for OpenLLM model
-        it's a generate model, so we just join them by spe
-        """
-        messages = ",".join([message.content for message in messages])
-        return self._get_num_tokens_by_gpt2(messages)
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        client = OpenLLMGenerate()
-        response = client.generate(
-            model_name=model,
-            server_url=credentials["server_url"],
-            prompt_messages=[self._convert_prompt_message_to_openllm_message(message) for message in prompt_messages],
-            model_parameters=model_parameters,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(
-                model=model, prompt_messages=prompt_messages, credentials=credentials, response=response
-            )
-        return self._handle_chat_generate_response(
-            model=model, prompt_messages=prompt_messages, credentials=credentials, response=response
-        )
-
-    def _convert_prompt_message_to_openllm_message(self, prompt_message: PromptMessage) -> OpenLLMGenerateMessage:
-        """
-        convert PromptMessage to OpenLLMGenerateMessage so that we can use OpenLLMGenerateMessage interface
-        """
-        if isinstance(prompt_message, UserPromptMessage):
-            return OpenLLMGenerateMessage(role=OpenLLMGenerateMessage.Role.USER.value, content=prompt_message.content)
-        elif isinstance(prompt_message, AssistantPromptMessage):
-            return OpenLLMGenerateMessage(
-                role=OpenLLMGenerateMessage.Role.ASSISTANT.value, content=prompt_message.content
-            )
-        else:
-            raise NotImplementedError(f"Prompt message type {type(prompt_message)} is not supported")
-
-    def _handle_chat_generate_response(
-        self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: OpenLLMGenerateMessage
-    ) -> LLMResult:
-        usage = self._calc_response_usage(
-            model=model,
-            credentials=credentials,
-            prompt_tokens=response.usage["prompt_tokens"],
-            completion_tokens=response.usage["completion_tokens"],
-        )
-        return LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=AssistantPromptMessage(
-                content=response.content,
-                tool_calls=[],
-            ),
-            usage=usage,
-        )
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Generator[OpenLLMGenerateMessage, None, None],
-    ) -> Generator[LLMResultChunk, None, None]:
-        for message in response:
-            if message.usage:
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=message.usage["prompt_tokens"],
-                    completion_tokens=message.usage["completion_tokens"],
-                )
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        usage=usage,
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="top_k",
-                type=ParameterType.INT,
-                use_template="top_k",
-                min=1,
-                default=1,
-                label=I18nObject(zh_Hans="Top K", en_US="Top K"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.COMPLETION.value,
-            },
-            parameter_rules=rules,
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [InternalServerError],
-            InvokeRateLimitError: [RateLimitReachedError],
-            InvokeAuthorizationError: [
-                InvalidAuthenticationError,
-                InsufficientAccountBalanceError,
-                InvalidAPIKeyError,
-            ],
-            InvokeBadRequestError: [BadRequestError, KeyError],
-        }
diff --git a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py b/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py
deleted file mode 100644
index e9509b544d..0000000000
--- a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py
+++ /dev/null
@@ -1,199 +0,0 @@
-from collections.abc import Generator
-from enum import Enum
-from json import dumps, loads
-from typing import Any, Optional, Union
-
-from requests import Response, post
-from requests.exceptions import ConnectionError, InvalidSchema, MissingSchema
-
-from core.model_runtime.model_providers.openllm.llm.openllm_generate_errors import (
-    BadRequestError,
-    InternalServerError,
-    InvalidAuthenticationError,
-)
-
-
-class OpenLLMGenerateMessage:
-    class Role(Enum):
-        USER = "user"
-        ASSISTANT = "assistant"
-
-    role: str = Role.USER.value
-    content: str
-    usage: Optional[dict[str, int]] = None
-    stop_reason: str = ""
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "role": self.role,
-            "content": self.content,
-        }
-
-    def __init__(self, content: str, role: str = "user") -> None:
-        self.content = content
-        self.role = role
-
-
-class OpenLLMGenerate:
-    def generate(
-        self,
-        *,
-        server_url: str,
-        model_name: str,
-        stream: bool,
-        model_parameters: dict[str, Any],
-        stop: list[str] | None = None,
-        prompt_messages: list[OpenLLMGenerateMessage],
-        user: str | None = None,
-    ) -> Union[Generator[OpenLLMGenerateMessage, None, None], OpenLLMGenerateMessage]:
-        if not server_url:
-            raise InvalidAuthenticationError("Invalid server URL")
-
-        default_llm_config = {
-            "max_new_tokens": 128,
-            "min_length": 0,
-            "early_stopping": False,
-            "num_beams": 1,
-            "num_beam_groups": 1,
-            "use_cache": True,
-            "temperature": 0.75,
-            "top_k": 15,
-            "top_p": 0.9,
-            "typical_p": 1,
-            "epsilon_cutoff": 0,
-            "eta_cutoff": 0,
-            "diversity_penalty": 0,
-            "repetition_penalty": 1,
-            "encoder_repetition_penalty": 1,
-            "length_penalty": 1,
-            "no_repeat_ngram_size": 0,
-            "renormalize_logits": False,
-            "remove_invalid_values": False,
-            "num_return_sequences": 1,
-            "output_attentions": False,
-            "output_hidden_states": False,
-            "output_scores": False,
-            "encoder_no_repeat_ngram_size": 0,
-            "n": 1,
-            "presence_penalty": 0,
-            "frequency_penalty": 0,
-            "use_beam_search": False,
-            "ignore_eos": False,
-            "skip_special_tokens": True,
-        }
-
-        if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int:
-            default_llm_config["max_new_tokens"] = model_parameters["max_tokens"]
-
-        if "temperature" in model_parameters and type(model_parameters["temperature"]) == float:
-            default_llm_config["temperature"] = model_parameters["temperature"]
-
-        if "top_p" in model_parameters and type(model_parameters["top_p"]) == float:
-            default_llm_config["top_p"] = model_parameters["top_p"]
-
-        if "top_k" in model_parameters and type(model_parameters["top_k"]) == int:
-            default_llm_config["top_k"] = model_parameters["top_k"]
-
-        if "use_cache" in model_parameters and type(model_parameters["use_cache"]) == bool:
-            default_llm_config["use_cache"] = model_parameters["use_cache"]
-
-        headers = {"Content-Type": "application/json", "accept": "application/json"}
-
-        if stream:
-            url = f"{server_url}/v1/generate_stream"
-            timeout = 10
-        else:
-            url = f"{server_url}/v1/generate"
-            timeout = 120
-
-        data = {
-            "stop": stop or [],
-            "prompt": "\n".join([message.content for message in prompt_messages]),
-            "llm_config": default_llm_config,
-        }
-
-        try:
-            response = post(url=url, data=dumps(data), timeout=timeout, stream=stream, headers=headers)
-        except (ConnectionError, InvalidSchema, MissingSchema) as e:
-            # cloud not connect to the server
-            raise InvalidAuthenticationError(f"Invalid server URL: {e}")
-
-        if not response.ok:
-            resp = response.json()
-            msg = resp["msg"]
-            if response.status_code == 400:
-                raise BadRequestError(msg)
-            elif response.status_code == 404:
-                raise InvalidAuthenticationError(msg)
-            elif response.status_code == 500:
-                raise InternalServerError(msg)
-            else:
-                raise InternalServerError(msg)
-
-        if stream:
-            return self._handle_chat_stream_generate_response(response)
-        return self._handle_chat_generate_response(response)
-
-    def _handle_chat_generate_response(self, response: Response) -> OpenLLMGenerateMessage:
-        try:
-            data = response.json()
-        except Exception as e:
-            raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        message = data["outputs"][0]
-        text = message["text"]
-        token_ids = message["token_ids"]
-        prompt_token_ids = data["prompt_token_ids"]
-        stop_reason = message["finish_reason"]
-
-        message = OpenLLMGenerateMessage(content=text, role=OpenLLMGenerateMessage.Role.ASSISTANT.value)
-        message.stop_reason = stop_reason
-        message.usage = {
-            "prompt_tokens": len(prompt_token_ids),
-            "completion_tokens": len(token_ids),
-            "total_tokens": len(prompt_token_ids) + len(token_ids),
-        }
-
-        return message
-
-    def _handle_chat_stream_generate_response(
-        self, response: Response
-    ) -> Generator[OpenLLMGenerateMessage, None, None]:
-        completion_usage = 0
-
-        for line in response.iter_lines():
-            if not line:
-                continue
-
-            line_str: str = line.decode("utf-8")
-            if line_str.startswith("data: "):
-                line_str = line_str[6:].strip()
-
-            if line_str == "[DONE]":
-                return
-
-            try:
-                data = loads(line_str)
-            except Exception as e:
-                raise InternalServerError(f"Failed to convert response to json: {e} with text: {line_str}")
-
-            output = data["outputs"]
-
-            for choice in output:
-                text = choice["text"]
-                token_ids = choice["token_ids"]
-
-                completion_usage += len(token_ids)
-                message = OpenLLMGenerateMessage(content=text, role=OpenLLMGenerateMessage.Role.ASSISTANT.value)
-
-                if choice.get("finish_reason"):
-                    finish_reason = choice["finish_reason"]
-                    prompt_token_ids = data["prompt_token_ids"]
-                    message.stop_reason = finish_reason
-                    message.usage = {
-                        "prompt_tokens": len(prompt_token_ids),
-                        "completion_tokens": completion_usage,
-                        "total_tokens": completion_usage + len(prompt_token_ids),
-                    }
-
-                yield message
diff --git a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py b/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py
deleted file mode 100644
index 309b5cf413..0000000000
--- a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py
+++ /dev/null
@@ -1,22 +0,0 @@
-class InvalidAuthenticationError(Exception):
-    pass
-
-
-class InvalidAPIKeyError(Exception):
-    pass
-
-
-class RateLimitReachedError(Exception):
-    pass
-
-
-class InsufficientAccountBalanceError(Exception):
-    pass
-
-
-class InternalServerError(Exception):
-    pass
-
-
-class BadRequestError(Exception):
-    pass
diff --git a/api/core/model_runtime/model_providers/openllm/openllm.py b/api/core/model_runtime/model_providers/openllm/openllm.py
deleted file mode 100644
index 8014802144..0000000000
--- a/api/core/model_runtime/model_providers/openllm/openllm.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OpenLLMProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/openllm/openllm.yaml b/api/core/model_runtime/model_providers/openllm/openllm.yaml
deleted file mode 100644
index fef52695e3..0000000000
--- a/api/core/model_runtime/model_providers/openllm/openllm.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-provider: openllm
-label:
-  en_US: OpenLLM
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#F9FAFB"
-help:
-  title:
-    en_US: How to deploy OpenLLM
-    zh_Hans: 如何部署 OpenLLM
-  url:
-    en_US: https://github.com/bentoml/OpenLLM
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: server_url
-      label:
-        zh_Hans: 服务器URL
-        en_US: Server url
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入OpenLLM的服务器地址，如 http://192.168.1.100:3000
-        en_US: Enter the url of your OpenLLM, e.g. http://192.168.1.100:3000
diff --git a/api/core/model_runtime/model_providers/openllm/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openllm/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py
deleted file mode 100644
index 43a2e948e2..0000000000
--- a/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,155 +0,0 @@
-import time
-from json import dumps
-from typing import Optional
-
-from requests import post
-from requests.exceptions import ConnectionError, InvalidSchema, MissingSchema
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class OpenLLMTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for OpenLLM text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        server_url = credentials["server_url"]
-        if not server_url:
-            raise CredentialsValidateFailedError("server_url is required")
-
-        headers = {"Content-Type": "application/json", "accept": "application/json"}
-
-        url = f"{server_url}/v1/embeddings"
-
-        data = texts
-        try:
-            response = post(url, headers=headers, data=dumps(data))
-        except (ConnectionError, InvalidSchema, MissingSchema) as e:
-            # cloud not connect to the server
-            raise InvokeAuthorizationError(f"Invalid server URL: {e}")
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            if response.status_code == 400:
-                raise InvokeBadRequestError(response.text)
-            elif response.status_code == 404:
-                raise InvokeAuthorizationError(response.text)
-            elif response.status_code == 500:
-                raise InvokeServerUnavailableError(response.text)
-
-        try:
-            resp = response.json()[0]
-            embeddings = resp["embeddings"]
-            total_tokens = resp["num_tokens"]
-        except KeyError as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=total_tokens)
-
-        result = TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage)
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use GPT2Tokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvokeAuthorizationError:
-            raise CredentialsValidateFailedError("Invalid server_url")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/openrouter/__init__.py b/api/core/model_runtime/model_providers/openrouter/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg b/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg
deleted file mode 100644
index 2e9590d923..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg
+++ /dev/null
@@ -1,11 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg b/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg
deleted file mode 100644
index ed81fc041f..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg
+++ /dev/null
@@ -1,10 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/openrouter/llm/__init__.py b/api/core/model_runtime/model_providers/openrouter/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
deleted file mode 100644
index c404cc6ed3..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-- openai/o1-preview
-- openai/o1-mini
-- openai/o3-mini
-- openai/o3-mini-2025-01-31
-- openai/gpt-4o
-- openai/gpt-4o-mini
-- openai/gpt-4
-- openai/gpt-4-32k
-- openai/gpt-3.5-turbo
-- anthropic/claude-3.5-sonnet
-- anthropic/claude-3-haiku
-- anthropic/claude-3-opus
-- anthropic/claude-3-sonnet
-- google/gemini-pro-1.5
-- google/gemini-flash-1.5
-- google/gemini-pro
-- cohere/command-r-plus
-- cohere/command-r
-- meta-llama/llama-3.2-1b-instruct
-- meta-llama/llama-3.2-3b-instruct
-- meta-llama/llama-3.2-11b-vision-instruct
-- meta-llama/llama-3.2-90b-vision-instruct
-- meta-llama/llama-3.1-405b-instruct
-- meta-llama/llama-3.1-70b-instruct
-- meta-llama/llama-3.1-8b-instruct
-- meta-llama/llama-3-70b-instruct
-- meta-llama/llama-3-8b-instruct
-- mistralai/mixtral-8x22b-instruct
-- mistralai/mixtral-8x7b-instruct
-- mistralai/mistral-7b-instruct
-- qwen/qwen-2.5-72b-instruct
-- qwen/qwen-2-72b-instruct
-- deepseek/deepseek-r1
-- deepseek/deepseek-chat
-- deepseek/deepseek-coder
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml
deleted file mode 100644
index de45093a72..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: anthropic/claude-3-5-haiku
-label:
-  en_US: claude-3-5-haiku
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "1"
-  output: "5"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml
deleted file mode 100644
index caed5a901d..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: anthropic/claude-3.5-sonnet
-label:
-  en_US: claude-3.5-sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "3.00"
-  output: "15.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml
deleted file mode 100644
index ce17d4123e..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: anthropic/claude-3-haiku
-label:
-  en_US: claude-3-haiku
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "0.25"
-  output: "1.25"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml
deleted file mode 100644
index 68a92219eb..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: anthropic/claude-3-opus
-label:
-  en_US: claude-3-opus
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "15.00"
-  output: "75.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml
deleted file mode 100644
index ede88459ca..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: anthropic/claude-3-sonnet
-label:
-  en_US: claude-3-sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 4096
-    min: 1
-    max: 4096
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "3.00"
-  output: "15.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml b/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml
deleted file mode 100644
index a23eb269d1..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: cohere/command-r-plus
-label:
-  en_US: command-r-plus
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: top_p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: "3"
-  output: "15"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml b/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml
deleted file mode 100644
index 7165bf29b0..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: cohere/command-r
-label:
-  en_US: command-r
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    max: 5.0
-  - name: top_p
-    use_template: top_p
-    default: 0.75
-    min: 0.01
-    max: 0.99
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-    default: 0
-    min: 0
-    max: 500
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    max: 4096
-pricing:
-  input: "0.5"
-  output: "1.5"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml
deleted file mode 100644
index c7982ec135..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml
+++ /dev/null
@@ -1,59 +0,0 @@
-model: deepseek/deepseek-chat
-label:
-  en_US: deepseek-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 1
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 1
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    default: 0
-    min: -2.0
-    max: 2.0
-    help:
-      zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
-      en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content.
-pricing:
-  input: "0.49"
-  output: "0.89"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml
deleted file mode 100644
index 375a4d2d52..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: deepseek/deepseek-coder
-label:
-  en_US: deepseek-coder
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 4096
-    default: 1024
-pricing:
-  input: "0.14"
-  output: "0.28"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml
deleted file mode 100644
index 488b7dd4ab..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml
+++ /dev/null
@@ -1,59 +0,0 @@
-model: deepseek/deepseek-r1
-label:
-  en_US: deepseek-r1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 163840
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 1
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 1
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    default: 0
-    min: -2.0
-    max: 2.0
-    help:
-      zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。
-      en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content.
-pricing:
-  input: "3"
-  output: "8"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml
deleted file mode 100644
index 0b2f329b28..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: google/gemini-flash-1.5
-label:
-  en_US: gemini-flash-1.5
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "0.25"
-  output: "0.75"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml
deleted file mode 100644
index 679ce9bdcd..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: google/gemini-pro-1.5
-label:
-  en_US: gemini-pro-1.5
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "2.5"
-  output: "7.5"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml
deleted file mode 100644
index 9f5d96c5b8..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: google/gemini-pro
-label:
-  en_US: gemini-pro
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 30720
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: "0.125"
-  output: "0.375"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml
deleted file mode 100644
index 621ecf065e..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: openai/gpt-3.5-turbo
-label:
-  en_US: gpt-3.5-turbo
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16385
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "0.5"
-  output: "1.5"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml
deleted file mode 100644
index 887e6d60f9..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: openai/gpt-4-32k
-label:
-  en_US: gpt-4-32k
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 32768
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans:
-        如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US:
-        If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "60"
-  output: "120"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml
deleted file mode 100644
index 66d1f9ae67..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: openai/gpt-4
-label:
-  en_US: gpt-4
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans:
-        如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US:
-        If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "30"
-  output: "60"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml
deleted file mode 100644
index 695cc3eedf..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: gpt-4o-2024-08-06
-label:
-  zh_Hans: gpt-4o-2024-08-06
-  en_US: gpt-4o-2024-08-06
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '2.50'
-  output: '10.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml
deleted file mode 100644
index e1e5889085..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: openai/gpt-4o-mini
-label:
-  en_US: gpt-4o-mini
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 16384
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "0.15"
-  output: "0.60"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml
deleted file mode 100644
index 560bf9d7d0..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: openai/gpt-4o
-label:
-  en_US: gpt-4o
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "5.00"
-  output: "15.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml
deleted file mode 100644
index 04a4a90c6d..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: meta-llama/llama-3-70b-instruct
-label:
-  en_US: llama-3-70b-instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: "0.59"
-  output: "0.79"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml
deleted file mode 100644
index 066949d431..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: meta-llama/llama-3-8b-instruct
-label:
-  en_US: llama-3-8b-instruct
-model_type: llm
-model_properties:
-  mode: completion
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 2048
-pricing:
-  input: "0.07"
-  output: "0.07"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml
deleted file mode 100644
index 0cd89dea71..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: meta-llama/llama-3.1-405b-instruct
-label:
-  en_US: llama-3.1-405b-instruct
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 131072
-pricing:
-  input: "2.7"
-  output: "2.7"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml
deleted file mode 100644
index 768ab5ecbb..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: meta-llama/llama-3.1-70b-instruct
-label:
-  en_US: llama-3.1-70b-instruct
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 131072
-pricing:
-  input: "0.52"
-  output: "0.75"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml
deleted file mode 100644
index 67b6b82b5d..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-model: meta-llama/llama-3.1-8b-instruct
-label:
-  en_US: llama-3.1-8b-instruct
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 512
-    min: 1
-    max: 131072
-pricing:
-  input: "0.06"
-  output: "0.06"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml
deleted file mode 100644
index 6ad2c26cc8..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: meta-llama/llama-3.2-11b-vision-instruct
-label:
-  zh_Hans: llama-3.2-11b-vision-instruct
-  en_US: llama-3.2-11b-vision-instruct
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.055'
-  output: '0.055'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml
deleted file mode 100644
index 657ef16835..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: meta-llama/llama-3.2-1b-instruct
-label:
-  zh_Hans: llama-3.2-1b-instruct
-  en_US: llama-3.2-1b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.01'
-  output: '0.02'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml
deleted file mode 100644
index 7f6e24e591..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-model: meta-llama/llama-3.2-3b-instruct
-label:
-  zh_Hans: llama-3.2-3b-instruct
-  en_US: llama-3.2-3b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.03'
-  output: '0.05'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml
deleted file mode 100644
index c264db0f20..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-model: meta-llama/llama-3.2-90b-vision-instruct
-label:
-  zh_Hans: llama-3.2-90b-vision-instruct
-  en_US: llama-3.2-90b-vision-instruct
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-  - name: max_tokens
-    use_template: max_tokens
-  - name: context_length_exceeded_behavior
-    default: None
-    label:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    help:
-      zh_Hans: 上下文长度超出行为
-      en_US: Context Length Exceeded Behavior
-    type: string
-    options:
-      - None
-      - truncate
-      - error
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.35'
-  output: '0.4'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llm.py b/api/core/model_runtime/model_providers/openrouter/llm/llm.py
deleted file mode 100644
index 2d6ece8113..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/llm.py
+++ /dev/null
@@ -1,92 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class OpenRouterLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _update_credential(self, model: str, credentials: dict):
-        credentials["endpoint_url"] = "https://openrouter.ai/api/v1"
-        credentials["mode"] = self.get_model_mode(model).value
-        credentials["function_calling_type"] = "tool_call"
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._update_credential(model, credentials)
-
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._update_credential(model, credentials)
-
-        return super().validate_credentials(model, credentials)
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._update_credential(model, credentials)
-        return super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _generate_block_as_stream(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        user: Optional[str] = None,
-    ) -> Generator:
-        resp = super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, False, user)
-
-        yield LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=resp.message,
-                usage=self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=resp.usage.prompt_tokens,
-                    completion_tokens=resp.usage.completion_tokens,
-                ),
-                finish_reason="stop",
-            ),
-        )
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        self._update_credential(model, credentials)
-
-        return super().get_customizable_model_schema(model, credentials)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        self._update_credential(model, credentials)
-
-        return super().get_num_tokens(model, credentials, prompt_messages, tools)
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml
deleted file mode 100644
index d08c016e95..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: mistralai/mistral-7b-instruct
-label:
-  en_US: mistral-7b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 2048
-pricing:
-  input: "0.07"
-  output: "0.07"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml
deleted file mode 100644
index e3af0e64d8..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: mistralai/mixtral-8x22b-instruct
-label:
-  en_US: mixtral-8x22b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-pricing:
-  input: "0.65"
-  output: "0.65"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml
deleted file mode 100644
index 095ea5a858..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: mistralai/mixtral-8x7b-instruct
-label:
-  zh_Hans: mixtral-8x7b-instruct
-  en_US: mixtral-8x7b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_p
-    use_template: top_p
-    default: 1
-    min: 0
-    max: 1
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8000
-pricing:
-  input: "0.24"
-  output: "0.24"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml
deleted file mode 100644
index f4202ee814..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-model: openai/o1-mini
-label:
-  en_US: o1-mini
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 65536
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "3.00"
-  output: "12.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml
deleted file mode 100644
index 1281b84286..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-model: openai/o1-preview
-label:
-  en_US: o1-preview
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 32768
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "15.00"
-  output: "60.00"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml
deleted file mode 100644
index 0cb38c11e4..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-model: openai/o3-mini-2025-01-31
-label:
-  en_US: o3-mini-2025-01-31
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 100000
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "1.10"
-  output: "4.40"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml
deleted file mode 100644
index 6fe38bd3f5..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-model: openai/o3-mini
-label:
-  en_US: o3-mini
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 100000
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: response_format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "1.10"
-  output: "4.40"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml
deleted file mode 100644
index b6058138d3..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: qwen/qwen-2-72b-instruct
-label:
-  en_US: qwen-2-72b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: "0.59"
-  output: "0.79"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml
deleted file mode 100644
index 5392b11168..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: qwen/qwen-2.5-72b-instruct
-label:
-  en_US: qwen-2.5-72b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: "0.35"
-  output: "0.4"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/openrouter/openrouter.py b/api/core/model_runtime/model_providers/openrouter/openrouter.py
deleted file mode 100644
index 2e59ab5059..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/openrouter.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class OpenRouterProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="openai/gpt-3.5-turbo", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/openrouter/openrouter.yaml b/api/core/model_runtime/model_providers/openrouter/openrouter.yaml
deleted file mode 100644
index f7536609ec..0000000000
--- a/api/core/model_runtime/model_providers/openrouter/openrouter.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-provider: openrouter
-label:
-  en_US: OpenRouter
-icon_small:
-  en_US: openrouter_square.svg
-icon_large:
-  en_US: openrouter.svg
-background: "#F1EFED"
-help:
-  title:
-    en_US: Get your API key from openrouter.ai
-    zh_Hans: 从 openrouter.ai 获取 API Key
-  url:
-    en_US: https://openrouter.ai/keys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter full model name
-      zh_Hans: 输入模型全称
-  credential_form_schemas:
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens_to_sample
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: "4096"
-      type: text-input
-    - variable: vision_support
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: 是否支持 Vision
-        en_US: Vision Support
-      type: radio
-      required: false
-      default: "no_support"
-      options:
-        - value: "support"
-          label:
-            en_US: "Yes"
-            zh_Hans: 是
-        - value: "no_support"
-          label:
-            en_US: "No"
-            zh_Hans: 否
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/perfxcloud/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg
deleted file mode 100644
index 060d9de3a9..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg width="100%" height="100%" viewBox="0 0 768 152" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
-    <use id="背景" xlink:href="#_Image1" x="13" y="32" width="742px" height="90px"/>
-    <defs>
-        <image id="_Image1" width="742px" height="90px" xlink:href="data:image/png;base64,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"/>
-    </defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml
deleted file mode 100644
index bf91468fcf..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Llama3-Chinese_v2
-label:
-  en_US: Llama3-Chinese_v2
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml
deleted file mode 100644
index 781b837e8e..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Meta-Llama-3-70B-Instruct-GPTQ-Int4
-label:
-  en_US: Meta-Llama-3-70B-Instruct-GPTQ-Int4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 1024
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml
deleted file mode 100644
index 67210e9020..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Meta-Llama-3-8B-Instruct
-label:
-  en_US: Meta-Llama-3-8B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml
deleted file mode 100644
index 482632ff06..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Meta-Llama-3.1-405B-Instruct-AWQ-INT4
-label:
-  en_US: Meta-Llama-3.1-405B-Instruct-AWQ-INT4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 410960
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml
deleted file mode 100644
index bbab46344c..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Meta-Llama-3.1-8B-Instruct
-label:
-  en_US: Meta-Llama-3.1-8B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.1
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml
deleted file mode 100644
index ec6d9bcc14..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Qwen-14B-Chat-Int4
-label:
-  en_US: Qwen-14B-Chat-Int4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml
deleted file mode 100644
index b561a53039..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Qwen1.5-110B-Chat-GPTQ-Int4
-label:
-  en_US: Qwen1.5-110B-Chat-GPTQ-Int4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 128
-    min: 1
-    max: 256
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml
deleted file mode 100644
index ddb6fd977c..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Qwen1.5-72B-Chat-GPTQ-Int4
-label:
-  en_US: Qwen1.5-72B-Chat-GPTQ-Int4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml
deleted file mode 100644
index 024c79dbcf..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: Qwen1.5-7B
-label:
-  en_US: Qwen1.5-7B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml
deleted file mode 100644
index 94f661f40d..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Qwen2-72B-Instruct-AWQ-int4
-label:
-  en_US: Qwen2-72B-Instruct-AWQ-int4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml
deleted file mode 100644
index a06f8d5ab1..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: Qwen2-72B-Instruct-GPTQ-Int4
-label:
-  en_US: Qwen2-72B-Instruct-GPTQ-Int4
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml
deleted file mode 100644
index cea6560295..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Qwen2-72B-Instruct
-label:
-  en_US: Qwen2-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml
deleted file mode 100644
index 4369411399..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-model: Qwen2-7B-Instruct
-label:
-  en_US: Qwen2-7B-Instruct
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: completion
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml
deleted file mode 100644
index d549ecd227..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: Qwen2-7B
-label:
-  en_US: Qwen2-7B
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: completion
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml
deleted file mode 100644
index 15cbf01f1f..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Qwen2.5-72B-Instruct
-label:
-  en_US: Qwen2.5-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 30720
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml
deleted file mode 100644
index dadc8f8f32..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Qwen2.5-7B-Instruct
-label:
-  en_US: Qwen2.5-7B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml
deleted file mode 100644
index 649be20b48..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Reflection-Llama-3.1-70B
-label:
-  en_US: Reflection-Llama-3.1-70B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 10240
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml
deleted file mode 100644
index 92eae6804f..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Yi-1_5-9B-Chat-16K
-label:
-  en_US: Yi-1_5-9B-Chat-16K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml
deleted file mode 100644
index 0e21ce148c..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Yi-Coder-1.5B-Chat
-label:
-  en_US: Yi-Coder-1.5B-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 20480
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml
deleted file mode 100644
index 23b0841ce4..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-model: Yi-Coder-9B-Chat
-label:
-  en_US: Yi-Coder-9B-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 20480
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml
deleted file mode 100644
index c6930e54f5..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-- Qwen2.5-72B-Instruct
-- Qwen2.5-7B-Instruct
-- Qwen2-72B-Instruct
-- Qwen2-72B-Instruct-AWQ-int4
-- Qwen2-72B-Instruct-GPTQ-Int4
-- Qwen2-7B-Instruct
-- Qwen2-7B
-- Qwen1.5-110B-Chat-GPTQ-Int4
-- Qwen1.5-72B-Chat-GPTQ-Int4
-- Qwen1.5-7B
-- Qwen-14B-Chat-Int4
-- Yi-Coder-1.5B-Chat
-- Yi-Coder-9B-Chat
-- Yi-1_5-9B-Chat-16K
-- Reflection-Llama-3.1-70B
-- Meta-Llama-3.1-8B-Instruct
-- Meta-Llama-3.1-405B-Instruct-AWQ-INT4
-- Meta-Llama-3-70B-Instruct-GPTQ-Int4
-- Meta-Llama-3-8B-Instruct
-- Llama3-Chinese_v2
-- deepseek-v2-lite-chat
-- deepseek-v2-chat
-- chatglm3-6b
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml
deleted file mode 100644
index 75d80f784a..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: chatglm3-6b
-label:
-  en_US: chatglm3-6b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml
deleted file mode 100644
index fa9a7b7175..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: deepseek-v2-chat
-label:
-  en_US: deepseek-v2-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml
deleted file mode 100644
index 75a26d2505..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-model: deepseek-v2-lite-chat
-label:
-  en_US: deepseek-v2-lite-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.5
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 600
-    min: 1
-    max: 1248
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-pricing:
-  input: "0.000"
-  output: "0.000"
-  unit: "0.000"
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py b/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py
deleted file mode 100644
index 89cac665aa..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py
+++ /dev/null
@@ -1,116 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-from urllib.parse import urlparse
-
-import tiktoken
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel
-
-
-class PerfXCloudLargeLanguageModel(OpenAILargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    # refactored from openai model runtime, use cl100k_base for calculate token number
-    def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int:
-        """
-        Calculate num tokens for text completion model with tiktoken package.
-
-        :param model: model name
-        :param text: prompt text
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        encoding = tiktoken.get_encoding("cl100k_base")
-        num_tokens = len(encoding.encode(text))
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    # refactored from openai model runtime, use cl100k_base for calculate token number
-    def _num_tokens_from_messages(
-        self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
-
-        Official documentation: https://github.com/openai/openai-cookbook/blob/
-        main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
-        encoding = tiktoken.get_encoding("cl100k_base")
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += len(encoding.encode(t_key))
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += len(encoding.encode(f_key))
-                                    num_tokens += len(encoding.encode(f_value))
-                            else:
-                                num_tokens += len(encoding.encode(t_key))
-                                num_tokens += len(encoding.encode(t_value))
-                else:
-                    num_tokens += len(encoding.encode(str(value)))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["openai_api_key"] = credentials["api_key"]
-        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            credentials["openai_api_base"] = "https://cloud.perfxlab.cn"
-        else:
-            parsed_url = urlparse(credentials["endpoint_url"])
-            credentials["openai_api_base"] = f"{parsed_url.scheme}://{parsed_url.netloc}"
diff --git a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py b/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py
deleted file mode 100644
index 9a4ead031d..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class PerfXCloudProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml b/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml
deleted file mode 100644
index 10ee691ebd..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-provider: perfxcloud
-label:
-  en_US: PerfXCloud
-  zh_Hans: PerfXCloud
-description:
-  en_US: PerfXCloud (Pengfeng Technology) is an AI development and deployment platform tailored for developers and enterprises, providing reasoning capabilities for multiple models.
-  zh_Hans: PerfXCloud（澎峰科技）为开发者和企业量身打造的AI开发和部署平台，提供多种模型的的推理能力。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#e3f0ff"
-help:
-  title:
-    en_US: Get your API Key from PerfXCloud
-    zh_Hans: 从 PerfXCloud 获取 API Key
-  url:
-    en_US: https://cloud.perfxlab.cn/panel/token
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        zh_Hans: 自定义 API endpoint 地址
-        en_US: Custom API endpoint URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: Base URL, e.g. https://cloud.perfxlab.cn/v1
-        en_US: Base URL, e.g. https://cloud.perfxlab.cn/v1
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml
deleted file mode 100644
index 5756fb3d14..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: BAAI/bge-large-en-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 32768
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml
deleted file mode 100644
index 4204ab2860..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: BAAI/bge-large-zh-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 32768
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml
deleted file mode 100644
index 55488e5688..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: BAAI/bge-m3
-model_type: text-embedding
-model_properties:
-  context_size: 32768
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml
deleted file mode 100644
index 99163d4293..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-- gte-Qwen2-7B-instruct
-- BAAI/bge-large-en-v1.5
-- BAAI/bge-large-zh-v1.5
-- BAAI/bge-m3
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml
deleted file mode 100644
index 161d5ea9a2..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: gte-Qwen2-7B-instruct
-model_type: text-embedding
-model_properties:
-  context_size: 2048
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py
deleted file mode 100644
index b3d9167bc6..0000000000
--- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
-    OAICompatEmbeddingModel,
-)
-
-
-class PerfXCloudEmbeddingModel(OAICompatEmbeddingModel):
-    """
-    Model class for an OpenAI API-compatible text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/"
-
-        return OAICompatEmbeddingModel._invoke(self, model, credentials, texts, user, input_type)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/"
-
-        OAICompatEmbeddingModel.validate_credentials(self, model, credentials)
diff --git a/api/core/model_runtime/model_providers/replicate/__init__.py b/api/core/model_runtime/model_providers/replicate/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg
deleted file mode 100644
index 63c09470d5..0000000000
--- a/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,13 +0,0 @@
-<svg width="92" height="24" viewBox="0 0 92 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M18.4933 2V3.79H6.005V17.9017H4V2H18.4933Z" fill="black"/>
-<path d="M18.4974 5.39453V7.18453H9.79573V17.9012H7.78906V5.39453H18.4974Z" fill="black"/>
-<path d="M18.4936 8.77734V10.5773H13.577V17.9007H11.5703V8.77734H18.4936Z" fill="black"/>
-<path d="M24.2014 8.60156C26.588 8.60156 28.593 10.1849 28.593 13.1282C28.593 13.3232 28.593 13.4882 28.573 13.7866H21.403C21.4964 15.2782 22.6997 16.2649 24.2114 16.2649C25.4864 16.2649 26.3414 15.6782 26.813 14.8766L28.3464 15.9666C27.523 17.2632 26.1047 18.0849 24.1914 18.0849C21.4247 18.0849 19.4297 16.1199 19.4297 13.3432C19.4397 10.6582 21.4347 8.60156 24.203 8.60156M21.508 12.3149H26.5797C26.363 10.9982 25.3047 10.2882 24.1314 10.2882C22.958 10.2882 21.7764 10.9666 21.508 12.3149Z" fill="black"/>
-<path d="M30.6328 8.77656H32.6378V9.9999C33.1528 9.2699 34.2628 8.60156 35.5695 8.60156C38.0695 8.60156 39.9611 10.7316 39.9611 13.3432C39.9611 15.9549 38.0678 18.0849 35.5695 18.0849C34.2528 18.0849 33.1411 17.4066 32.6378 16.6749V21.7049H30.6328V8.77656ZM35.2095 10.4216C33.5845 10.4216 32.4728 11.6966 32.4728 13.3432C32.4728 14.9899 33.5845 16.2649 35.2095 16.2649C36.8345 16.2649 37.9245 14.9899 37.9245 13.3432C37.9245 11.6966 36.8128 10.4216 35.2095 10.4216Z" fill="black"/>
-<path d="M44.0128 4.2207H42.0078V17.8907H44.0128V4.2207Z" fill="black"/>
-<path d="M47.7139 6.79443C46.9839 6.79443 46.3672 6.19776 46.3672 5.44776C46.3672 4.69776 46.9839 4.12109 47.7139 4.12109C48.4439 4.12109 49.0405 4.72776 49.0405 5.44776C49.0405 6.19943 48.4639 6.79443 47.7139 6.79443ZM46.7155 8.77943H48.7205V17.8928H46.7155V8.77943Z" fill="black"/>
-<path d="M55.5711 18.0771C52.8345 18.0771 50.7578 16.0304 50.7578 13.3354C50.7578 10.6404 52.8361 8.59375 55.5711 8.59375C57.4528 8.59375 59.0378 9.60208 59.8195 11.1137L58.0711 12.0604C57.6295 11.1354 56.7445 10.4554 55.5711 10.4554C53.9461 10.4554 52.8045 11.7104 52.8045 13.3354C52.8045 14.9604 53.9561 16.2154 55.5711 16.2154C56.7328 16.2154 57.6278 15.5371 58.0711 14.6104L59.8195 15.5571C59.0378 17.0787 57.4428 18.0771 55.5711 18.0771Z" fill="black"/>
-<path d="M65.3995 8.60156C66.7161 8.60156 67.8061 9.2799 68.3211 9.9999V8.77656H70.3261V17.8899H68.3211V16.6666C67.8061 17.3966 66.7161 18.0766 65.3995 18.0766C62.8995 18.0766 61.0078 15.9466 61.0078 13.3349C61.0078 10.7232 62.9011 8.60323 65.3995 8.60323M65.7695 10.4232C64.1445 10.4232 63.0545 11.6982 63.0545 13.3449C63.0545 14.9916 64.1445 16.2666 65.7695 16.2666C67.3945 16.2666 68.4845 14.9916 68.4845 13.3449C68.4845 11.6982 67.3845 10.4232 65.7695 10.4232Z" fill="black"/>
-<path d="M73.7627 17.9033V10.57H71.8594V8.78H73.7627V6.25H75.7694V8.78H79.2244V10.57H75.7694V16.1033H79.2244V17.9033H73.7627Z" fill="black"/>
-<path d="M84.9435 8.60156C87.3302 8.60156 89.3352 10.1849 89.3352 13.1282C89.3352 13.3232 89.3352 13.4882 89.3152 13.7866H82.1452C82.2385 15.2782 83.4419 16.2649 84.9535 16.2649C86.2285 16.2649 87.0835 15.6782 87.5552 14.8766L89.0885 15.9666C88.2652 17.2632 86.8469 18.0849 84.9335 18.0849C82.1669 18.0849 80.1719 16.1199 80.1719 13.3432C80.1919 10.6582 82.1769 8.60156 84.9452 8.60156M82.2502 12.3149H87.3219C87.1052 10.9982 86.0469 10.2882 84.8735 10.2882C83.7002 10.2882 82.5285 10.9666 82.2502 12.3149Z" fill="black"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg
deleted file mode 100644
index 527316edb6..0000000000
--- a/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="24" height="24" rx="6" fill="black"/>
-<path fill-rule="evenodd" clip-rule="evenodd" d="M19.9961 4V5.79H7.93621V19.9017H6V4H19.9961ZM20 7.39453V9.18453H11.5969V19.9012H9.65906V7.39453H20ZM19.9964 12.5773V10.7773H13.3106V19.9007H15.2484V12.5773H19.9964Z" fill="white"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/replicate/_common.py b/api/core/model_runtime/model_providers/replicate/_common.py
deleted file mode 100644
index 3e2cf2adb3..0000000000
--- a/api/core/model_runtime/model_providers/replicate/_common.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from replicate.exceptions import ModelError, ReplicateError  # type: ignore
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError, InvokeError
-
-
-class _CommonReplicate:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {InvokeBadRequestError: [ReplicateError, ModelError]}
diff --git a/api/core/model_runtime/model_providers/replicate/llm/__init__.py b/api/core/model_runtime/model_providers/replicate/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/replicate/llm/llm.py b/api/core/model_runtime/model_providers/replicate/llm/llm.py
deleted file mode 100644
index 1e7858100b..0000000000
--- a/api/core/model_runtime/model_providers/replicate/llm/llm.py
+++ /dev/null
@@ -1,305 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from replicate import Client as ReplicateClient  # type: ignore
-from replicate.exceptions import ReplicateError  # type: ignore
-from replicate.prediction import Prediction  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageRole,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.replicate._common import _CommonReplicate
-
-
-class ReplicateLargeLanguageModel(_CommonReplicate, LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        model_version = ""
-        if "model_version" in credentials:
-            model_version = credentials["model_version"]
-
-        client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30)
-        model_info = client.models.get(model)
-
-        if model_version:
-            model_info_version = model_info.versions.get(model_version)
-        else:
-            model_info_version = model_info.latest_version
-
-        inputs = {**model_parameters}
-
-        if prompt_messages[0].role == PromptMessageRole.SYSTEM:
-            if "system_prompt" in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"]:
-                inputs["system_prompt"] = prompt_messages[0].content
-            inputs["prompt"] = prompt_messages[1].content
-        else:
-            inputs["prompt"] = prompt_messages[0].content
-
-        prediction = client.predictions.create(version=model_info_version, input=inputs)
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, prediction, stop, prompt_messages)
-        return self._handle_generate_response(model, credentials, prediction, stop, prompt_messages)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        if "replicate_api_token" not in credentials:
-            raise CredentialsValidateFailedError("Replicate Access Token must be provided.")
-
-        model_version = ""
-        if "model_version" in credentials:
-            model_version = credentials["model_version"]
-
-        if model.count("/") != 1:
-            raise CredentialsValidateFailedError(
-                "Replicate Model Name must be provided, format: {user_name}/{model_name}"
-            )
-
-        try:
-            client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30)
-            model_info = client.models.get(model)
-
-            if model_version:
-                model_info_version = model_info.versions.get(model_version)
-            else:
-                model_info_version = model_info.latest_version
-
-            self._check_text_generation_model(model_info_version, model, model_version, model_info.description)
-        except ReplicateError as e:
-            raise CredentialsValidateFailedError(
-                f"Model {model}:{model_version} not exists, cause: {e.__class__.__name__}:{str(e)}"
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(str(e))
-
-    @staticmethod
-    def _check_text_generation_model(model_info_version, model_name, version, description):
-        if "language model" in description.lower():
-            return
-
-        if (
-            "temperature" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"]
-            or "top_p" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"]
-            or "top_k" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"]
-        ):
-            raise CredentialsValidateFailedError(f"Model {model_name}:{version} is not a Text Generation model.")
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        model_type = LLMMode.CHAT if model.endswith("-chat") else LLMMode.COMPLETION
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties={ModelPropertyKey.MODE: model_type.value},
-            parameter_rules=self._get_customizable_model_parameter_rules(model, credentials),
-        )
-
-        return entity
-
-    @classmethod
-    def _get_customizable_model_parameter_rules(cls, model: str, credentials: dict) -> list[ParameterRule]:
-        model_version = ""
-        if "model_version" in credentials:
-            model_version = credentials["model_version"]
-
-        client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30)
-        model_info = client.models.get(model)
-
-        if model_version:
-            model_info_version = model_info.versions.get(model_version)
-        else:
-            model_info_version = model_info.latest_version
-
-        parameter_rules = []
-
-        input_properties = sorted(
-            model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"].items(),
-            key=lambda item: item[1].get("x-order", 0),
-        )
-
-        for key, value in input_properties:
-            if key not in {"system_prompt", "prompt"} and "stop" not in key:
-                value_type = value.get("type")
-
-                if not value_type:
-                    continue
-
-                param_type = cls._get_parameter_type(value_type)
-
-                rule = ParameterRule(
-                    name=key,
-                    label={"en_US": value["title"]},
-                    type=param_type,
-                    help={
-                        "en_US": value.get("description"),
-                    },
-                    required=False,
-                    default=value.get("default"),
-                    min=value.get("minimum"),
-                    max=value.get("maximum"),
-                )
-                parameter_rules.append(rule)
-
-        return parameter_rules
-
-    def _handle_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        prediction: Prediction,
-        stop: list[str],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        index = -1
-        current_completion: str = ""
-        stop_condition_reached = False
-
-        prediction_output_length = 10000
-        is_prediction_output_finished = False
-
-        for output in prediction.output_iterator():
-            current_completion += output
-
-            if not is_prediction_output_finished and prediction.status == "succeeded":
-                prediction_output_length = len(prediction.output) - 1
-                is_prediction_output_finished = True
-
-            if stop:
-                for s in stop:
-                    if s in current_completion:
-                        prediction.cancel()
-                        stop_index = current_completion.find(s)
-                        current_completion = current_completion[:stop_index]
-                        stop_condition_reached = True
-                        break
-
-            if stop_condition_reached:
-                break
-
-            index += 1
-
-            assistant_prompt_message = AssistantPromptMessage(content=output or "")
-
-            if index < prediction_output_length:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                )
-            else:
-                prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-                completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message, usage=usage),
-                )
-
-    def _handle_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        prediction: Prediction,
-        stop: list[str],
-        prompt_messages: list[PromptMessage],
-    ) -> LLMResult:
-        current_completion: str = ""
-        stop_condition_reached = False
-        for output in prediction.output_iterator():
-            current_completion += output
-
-            if stop:
-                for s in stop:
-                    if s in current_completion:
-                        prediction.cancel()
-                        stop_index = current_completion.find(s)
-                        current_completion = current_completion[:stop_index]
-                        stop_condition_reached = True
-                        break
-
-            if stop_condition_reached:
-                break
-
-        assistant_prompt_message = AssistantPromptMessage(content=current_completion)
-
-        prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    @classmethod
-    def _get_parameter_type(cls, param_type: str) -> str:
-        type_mapping = {"integer": "int", "number": "float", "boolean": "boolean", "string": "string"}
-        return type_mapping.get(param_type)
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        return text.rstrip()
-
-    @staticmethod
-    def _convert_one_message_to_text(message: PromptMessage) -> str:
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = content
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
diff --git a/api/core/model_runtime/model_providers/replicate/replicate.py b/api/core/model_runtime/model_providers/replicate/replicate.py
deleted file mode 100644
index ca137579c9..0000000000
--- a/api/core/model_runtime/model_providers/replicate/replicate.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class ReplicateProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/replicate/replicate.yaml b/api/core/model_runtime/model_providers/replicate/replicate.yaml
deleted file mode 100644
index 9cad6d4f0d..0000000000
--- a/api/core/model_runtime/model_providers/replicate/replicate.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-provider: replicate
-label:
-  en_US: Replicate
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#E5E7EB"
-help:
-  title:
-    en_US: Get your API Key from Replicate
-    zh_Hans: 从 Replicate 获取 API Key
-  url:
-    en_US: https://replicate.com/account/api-tokens
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-  credential_form_schemas:
-    - variable: replicate_api_token
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 Replicate API Key
-        en_US: Enter your Replicate API Key
-    - variable: model_version
-      label:
-        en_US: Model Version
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的模型版本，默认为最新版本
-        en_US: Enter your model version, default to the latest version
diff --git a/api/core/model_runtime/model_providers/replicate/text_embedding/__init__.py b/api/core/model_runtime/model_providers/replicate/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py
deleted file mode 100644
index aaf825388a..0000000000
--- a/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,152 +0,0 @@
-import json
-import time
-from typing import Optional
-
-from replicate import Client as ReplicateClient  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.replicate._common import _CommonReplicate
-
-
-class ReplicateEmbeddingModel(_CommonReplicate, TextEmbeddingModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30)
-
-        if "model_version" in credentials:
-            model_version = credentials["model_version"]
-        else:
-            model_info = client.models.get(model)
-            model_version = model_info.latest_version.id
-
-        replicate_model_version = f"{model}:{model_version}"
-
-        text_input_key = self._get_text_input_key(model, model_version, client)
-
-        embeddings = self._generate_embeddings_by_text_input_key(client, replicate_model_version, text_input_key, texts)
-
-        tokens = self.get_num_tokens(model, credentials, texts)
-        usage = self._calc_response_usage(model, credentials, tokens)
-
-        return TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        num_tokens = 0
-        for text in texts:
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        if "replicate_api_token" not in credentials:
-            raise CredentialsValidateFailedError("Replicate Access Token must be provided.")
-
-        try:
-            client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30)
-
-            if "model_version" in credentials:
-                model_version = credentials["model_version"]
-            else:
-                model_info = client.models.get(model)
-                model_version = model_info.latest_version.id
-
-            replicate_model_version = f"{model}:{model_version}"
-
-            text_input_key = self._get_text_input_key(model, model_version, client)
-
-            self._generate_embeddings_by_text_input_key(
-                client, replicate_model_version, text_input_key, ["Hello worlds!"]
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(str(e))
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: 4096, ModelPropertyKey.MAX_CHUNKS: 1},
-        )
-        return entity
-
-    @staticmethod
-    def _get_text_input_key(model: str, model_version: str, client: ReplicateClient) -> str:
-        model_info = client.models.get(model)
-        model_info_version = model_info.versions.get(model_version)
-
-        # sort through the openapi schema to get the name of text, texts or inputs
-        input_properties = sorted(
-            model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"].items(),
-            key=lambda item: item[1].get("x-order", 0),
-        )
-
-        for input_property in input_properties:
-            if input_property[0] in {"text", "texts", "inputs"}:
-                text_input_key = input_property[0]
-                return text_input_key
-
-        return ""
-
-    @staticmethod
-    def _generate_embeddings_by_text_input_key(
-        client: ReplicateClient, replicate_model_version: str, text_input_key: str, texts: list[str]
-    ) -> list[list[float]]:
-        if text_input_key in {"text", "inputs"}:
-            embeddings = []
-            for text in texts:
-                result = client.run(replicate_model_version, input={text_input_key: text})
-                embeddings.append(result[0].get("embedding"))
-
-            return [list(map(float, e)) for e in embeddings]
-        elif text_input_key == "texts":
-            result = client.run(
-                replicate_model_version,
-                input={
-                    "texts": json.dumps(texts),
-                    "batch_size": 4,
-                    "convert_to_numpy": False,
-                    "normalize_embeddings": True,
-                },
-            )
-            return result
-        else:
-            raise ValueError(f"embeddings input key is invalid: {text_input_key}")
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/sagemaker/__init__.py b/api/core/model_runtime/model_providers/sagemaker/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/sagemaker/_assets/icon_l_en.png
deleted file mode 100644
index 0abe07a78ff776018db04d84b7cc0ceb1c9ae81f..0000000000000000000000000000000000000000
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diff --git a/api/core/model_runtime/model_providers/sagemaker/llm/__init__.py b/api/core/model_runtime/model_providers/sagemaker/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py b/api/core/model_runtime/model_providers/sagemaker/llm/llm.py
deleted file mode 100644
index 3f12a68201..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py
+++ /dev/null
@@ -1,463 +0,0 @@
-import json
-import logging
-import re
-from collections.abc import Generator, Iterator
-from typing import Any, Optional, Union, cast
-
-import boto3  # type: ignore
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    I18nObject,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-logger = logging.getLogger(__name__)
-
-
-def inference(predictor, messages: list[dict[str, Any]], params: dict[str, Any], stop: list, stream=False):
-    """
-    params:
-    predictor : Sagemaker Predictor
-    messages (List[Dict[str,Any]]): message list。
-                messages = [
-                {"role": "system", "content":"please answer in Chinese"},
-                {"role": "user", "content": "who are you? what are you doing?"},
-            ]
-    params (Dict[str,Any]): model parameters for LLM。
-    stream (bool): False by default。
-
-    response:
-    result of inference if stream is False
-    Iterator of Chunks if stream is True
-    """
-    payload = {
-        "model": params.get("model_name"),
-        "stop": stop,
-        "messages": messages,
-        "stream": stream,
-        "max_tokens": params.get("max_new_tokens", params.get("max_tokens", 2048)),
-        "temperature": params.get("temperature", 0.1),
-        "top_p": params.get("top_p", 0.9),
-    }
-
-    if not stream:
-        response = predictor.predict(payload)
-        return response
-    else:
-        response_stream = predictor.predict_stream(payload)
-        return response_stream
-
-
-class SageMakerLargeLanguageModel(LargeLanguageModel):
-    """
-    Model class for Cohere large language model.
-    """
-
-    sagemaker_session: Any = None
-    predictor: Any = None
-    sagemaker_endpoint: str | None = None
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: bytes,
-    ) -> LLMResult:
-        """
-        handle normal chat generate response
-        """
-        resp_obj = json.loads(resp.decode("utf-8"))
-        resp_str = resp_obj.get("choices")[0].get("message").get("content")
-
-        if len(resp_str) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-
-        assistant_prompt_message = AssistantPromptMessage(content=resp_str, tool_calls=[])
-
-        prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-        completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools)
-
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=None,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _handle_chat_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Iterator[bytes],
-    ) -> Generator:
-        """
-        handle stream chat generate response
-        """
-        full_response = ""
-        buffer = ""
-        for chunk_bytes in resp:
-            buffer += chunk_bytes.decode("utf-8")
-            last_idx = 0
-            for match in re.finditer(r"^data:\s*(.+?)(\n\n)", buffer):
-                try:
-                    data = json.loads(match.group(1).strip())
-                    last_idx = match.span()[1]
-
-                    if "content" in data["choices"][0]["delta"]:
-                        chunk_content = data["choices"][0]["delta"]["content"]
-                        assistant_prompt_message = AssistantPromptMessage(content=chunk_content, tool_calls=[])
-
-                        if data["choices"][0]["finish_reason"] is not None:
-                            temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[])
-                            prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-                            completion_tokens = self._num_tokens_from_messages(
-                                messages=[temp_assistant_prompt_message], tools=[]
-                            )
-                            usage = self._calc_response_usage(
-                                model=model,
-                                credentials=credentials,
-                                prompt_tokens=prompt_tokens,
-                                completion_tokens=completion_tokens,
-                            )
-
-                            yield LLMResultChunk(
-                                model=model,
-                                prompt_messages=prompt_messages,
-                                system_fingerprint=None,
-                                delta=LLMResultChunkDelta(
-                                    index=0,
-                                    message=assistant_prompt_message,
-                                    finish_reason=data["choices"][0]["finish_reason"],
-                                    usage=usage,
-                                ),
-                            )
-                        else:
-                            yield LLMResultChunk(
-                                model=model,
-                                prompt_messages=prompt_messages,
-                                system_fingerprint=None,
-                                delta=LLMResultChunkDelta(index=0, message=assistant_prompt_message),
-                            )
-
-                            full_response += chunk_content
-                except (json.JSONDecodeError, KeyError, IndexError) as e:
-                    logger.info("json parse exception, content: {}".format(match.group(1).strip()))
-                    pass
-
-            buffer = buffer[last_idx:]
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        from sagemaker import Predictor, serializers  # type: ignore
-        from sagemaker.session import Session  # type: ignore
-
-        if not self.sagemaker_session:
-            access_key = credentials.get("aws_access_key_id")
-            secret_key = credentials.get("aws_secret_access_key")
-            aws_region = credentials.get("aws_region")
-            boto_session = None
-            if aws_region:
-                if access_key and secret_key:
-                    boto_session = boto3.Session(
-                        aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region
-                    )
-                else:
-                    boto_session = boto3.Session(region_name=aws_region)
-            else:
-                boto_session = boto3.Session()
-
-            sagemaker_client = boto_session.client("sagemaker")
-            self.sagemaker_session = Session(boto_session=boto_session, sagemaker_client=sagemaker_client)
-
-        if self.sagemaker_endpoint != credentials.get("sagemaker_endpoint"):
-            self.sagemaker_endpoint = credentials.get("sagemaker_endpoint")
-            self.predictor = Predictor(
-                endpoint_name=self.sagemaker_endpoint,
-                sagemaker_session=self.sagemaker_session,
-                serializer=serializers.JSONSerializer(),
-            )
-
-        messages: list[dict[str, Any]] = [{"role": p.role.value, "content": p.content} for p in prompt_messages]
-        response = inference(
-            predictor=self.predictor, messages=messages, params=model_parameters, stop=stop, stream=stream
-        )
-
-        if stream:
-            if tools and len(tools) > 0:
-                raise InvokeBadRequestError(f"{model}'s tool calls does not support stream mode")
-
-            return self._handle_chat_stream_response(
-                model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response
-            )
-        return self._handle_chat_generate_response(
-            model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response
-        )
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI Compatibility API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(PromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls and len(message.tool_calls) > 0:
-                message_dict["function_call"] = {
-                    "name": message.tool_calls[0].function.name,
-                    "arguments": message.tool_calls[0].function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"tool_call_id": message.tool_call_id, "role": "tool", "content": message.content}
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def _num_tokens_from_messages(
-        self, messages: list[PromptMessage], tools: list[PromptMessageTool], is_completion_model: bool = False
-    ) -> int:
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        if is_completion_model:
-            return sum(tokens(str(message.content)) for message in messages)
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += tokens(t_key)
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += tokens(f_key)
-                                    num_tokens += tokens(f_value)
-                            else:
-                                num_tokens += tokens(t_key)
-                                num_tokens += tokens(t_value)
-                if key == "function_call":
-                    for t_key, t_value in value.items():
-                        num_tokens += tokens(t_key)
-                        if t_key == "function":
-                            for f_key, f_value in t_value.items():
-                                num_tokens += tokens(f_key)
-                                num_tokens += tokens(f_value)
-                        else:
-                            num_tokens += tokens(t_key)
-                            num_tokens += tokens(t_value)
-                else:
-                    num_tokens += tokens(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # get model mode
-        try:
-            return self._num_tokens_from_messages(prompt_messages, tools)
-        except Exception as e:
-            raise self._transform_invoke_error(e)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # get model mode
-            pass
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                max=int(credentials.get("context_length", 2048)),
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
-
-        completion_type = LLMMode.value_of(credentials["mode"]).value
-
-        features = []
-
-        support_function_call = credentials.get("support_function_call", False)
-        if support_function_call:
-            features.append(ModelFeature.TOOL_CALL)
-
-        support_vision = credentials.get("support_vision", False)
-        if support_vision:
-            features.append(ModelFeature.VISION)
-
-        context_length = int(credentials.get("context_length", 2048))
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            features=features,
-            model_properties={ModelPropertyKey.MODE: completion_type, ModelPropertyKey.CONTEXT_SIZE: context_length},
-            parameter_rules=rules,
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/sagemaker/rerank/__init__.py b/api/core/model_runtime/model_providers/sagemaker/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py b/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py
deleted file mode 100644
index 7daab6d865..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py
+++ /dev/null
@@ -1,174 +0,0 @@
-import json
-import logging
-import operator
-from typing import Any, Optional
-
-import boto3  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-logger = logging.getLogger(__name__)
-
-
-class SageMakerRerankModel(RerankModel):
-    """
-    Model class for SageMaker rerank model.
-    """
-
-    sagemaker_client: Any = None
-
-    def _sagemaker_rerank(self, query_input: str, docs: list[str], rerank_endpoint: str):
-        inputs = [query_input] * len(docs)
-        response_model = self.sagemaker_client.invoke_endpoint(
-            EndpointName=rerank_endpoint,
-            Body=json.dumps({"inputs": inputs, "docs": docs}),
-            ContentType="application/json",
-        )
-        json_str = response_model["Body"].read().decode("utf8")
-        json_obj = json.loads(json_str)
-        scores = json_obj["scores"]
-        return scores if isinstance(scores, list) else [scores]
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        line = 0
-        try:
-            if len(docs) == 0:
-                return RerankResult(model=model, docs=docs)
-
-            line = 1
-            if not self.sagemaker_client:
-                access_key = credentials.get("aws_access_key_id")
-                secret_key = credentials.get("aws_secret_access_key")
-                aws_region = credentials.get("aws_region")
-                if aws_region:
-                    if access_key and secret_key:
-                        self.sagemaker_client = boto3.client(
-                            "sagemaker-runtime",
-                            aws_access_key_id=access_key,
-                            aws_secret_access_key=secret_key,
-                            region_name=aws_region,
-                        )
-                    else:
-                        self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-
-            line = 2
-
-            sagemaker_endpoint = credentials.get("sagemaker_endpoint")
-            candidate_docs = []
-
-            scores = self._sagemaker_rerank(query, docs, sagemaker_endpoint)
-            for idx in range(len(scores)):
-                candidate_docs.append({"content": docs[idx], "score": scores[idx]})
-
-            sorted(candidate_docs, key=operator.itemgetter("score"), reverse=True)
-
-            line = 3
-            rerank_documents = []
-            for idx, result in enumerate(candidate_docs):
-                rerank_document = RerankDocument(
-                    index=idx, text=result.get("content"), score=result.get("score", -100.0)
-                )
-
-                if score_threshold is not None:
-                    if rerank_document.score >= score_threshold:
-                        rerank_documents.append(rerank_document)
-                else:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-
-        except Exception as e:
-            logger.exception(f"Failed to invoke rerank model, model: {model}")
-            raise InvokeError(f"Failed to invoke rerank model, model: {model}, error: {str(e)}")
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.RERANK,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/sagemaker/sagemaker.py b/api/core/model_runtime/model_providers/sagemaker/sagemaker.py
deleted file mode 100644
index 042155b152..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/sagemaker.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import logging
-import uuid
-from typing import IO, Any
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class SageMakerProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        pass
-
-
-def buffer_to_s3(s3_client: Any, file: IO[bytes], bucket: str, s3_prefix: str) -> str:
-    """
-    return s3_uri of this file
-    """
-    s3_key = f"{s3_prefix}{uuid.uuid4()}.mp3"
-    s3_client.put_object(Body=file.read(), Bucket=bucket, Key=s3_key, ContentType="audio/mp3")
-    return s3_key
-
-
-def generate_presigned_url(s3_client: Any, file: IO[bytes], bucket_name: str, s3_prefix: str, expiration=600) -> str:
-    object_key = buffer_to_s3(s3_client, file, bucket_name, s3_prefix)
-    try:
-        response = s3_client.generate_presigned_url(
-            "get_object", Params={"Bucket": bucket_name, "Key": object_key}, ExpiresIn=expiration
-        )
-    except Exception as e:
-        print(f"Error generating presigned URL: {e}")
-        return None
-
-    return response
diff --git a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml b/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml
deleted file mode 100644
index c4c94ea409..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml
+++ /dev/null
@@ -1,206 +0,0 @@
-provider: sagemaker
-label:
-  zh_Hans: Sagemaker
-  en_US: Sagemaker
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-description:
-  en_US: Customized model on Sagemaker
-  zh_Hans: Sagemaker上的私有化部署的模型
-background: "#ECE9E3"
-help:
-  title:
-    en_US: How to deploy customized model on Sagemaker
-    zh_Hans: 如何在Sagemaker上的私有化部署的模型
-  url:
-    en_US: https://github.com/aws-samples/dify-aws-tool/blob/main/README.md#how-to-deploy-sagemaker-endpoint
-    zh_Hans: https://github.com/aws-samples/dify-aws-tool/blob/main/README_ZH.md#%E5%A6%82%E4%BD%95%E9%83%A8%E7%BD%B2sagemaker%E6%8E%A8%E7%90%86%E7%AB%AF%E7%82%B9
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-  - tts
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: Chat
-    - variable: sagemaker_endpoint
-      label:
-        en_US: sagemaker endpoint
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 请输出你的Sagemaker推理端点
-        en_US: Enter your Sagemaker Inference endpoint
-    - variable: context_length
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      type: text-input
-      default: '4096'
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: audio_s3_cache_bucket
-      show_on:
-        - variable: __model_type
-          value: speech2text
-      label:
-        zh_Hans: 音频缓存桶(s3 bucket)
-        en_US: audio cache bucket(s3 bucket)
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: sagemaker-us-east-1-******207838
-        en_US: sagemaker-us-east-1-*******7838
-    - variable: audio_model_type
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: Audio model type
-      type: select
-      required: true
-      placeholder:
-        zh_Hans: 语音模型类型
-        en_US: Audio model type
-      options:
-        - value: PresetVoice
-          label:
-            en_US: preset voice
-            zh_Hans: 内置音色
-        - value: CloneVoice
-          label:
-            en_US: clone voice
-            zh_Hans: 克隆音色
-        - value: CloneVoice_CrossLingual
-          label:
-            en_US: crosslingual clone voice
-            zh_Hans: 跨语种克隆音色
-        - value: InstructVoice
-          label:
-            en_US: Instruct voice
-            zh_Hans: 文字指令音色
-    - variable: prompt_audio
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: Mock Audio Source
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 被模仿的音色音频
-        en_US: source audio to be mocked
-    - variable: prompt_text
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: Prompt Audio Text
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 模仿音色的对应文本
-        en_US: text for the mocked source audio
-    - variable: instruct_text
-      show_on:
-        - variable: __model_type
-          value: tts
-      label:
-        en_US: instruct text for speaker
-      type: text-input
-      required: false
-    - variable: aws_access_key_id
-      required: false
-      label:
-        en_US: Access Key (If not provided, credentials are obtained from the running environment.)
-        zh_Hans: Access Key (如果未提供，凭证将从运行环境中获取。)
-      type: secret-input
-      placeholder:
-        en_US: Enter your Access Key
-        zh_Hans: 在此输入您的 Access Key
-    - variable: aws_secret_access_key
-      required: false
-      label:
-        en_US: Secret Access Key
-        zh_Hans: Secret Access Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Secret Access Key
-        zh_Hans: 在此输入您的 Secret Access Key
-    - variable: aws_region
-      required: false
-      label:
-        en_US: AWS Region
-        zh_Hans: AWS 地区
-      type: select
-      default: us-east-1
-      options:
-        - value: us-east-1
-          label:
-            en_US: US East (N. Virginia)
-            zh_Hans: 美国东部 (弗吉尼亚北部)
-        - value: us-west-2
-          label:
-            en_US: US West (Oregon)
-            zh_Hans: 美国西部 (俄勒冈州)
-        - value: ap-southeast-1
-          label:
-            en_US: Asia Pacific (Singapore)
-            zh_Hans: 亚太地区 (新加坡)
-        - value: ap-northeast-1
-          label:
-            en_US: Asia Pacific (Tokyo)
-            zh_Hans: 亚太地区 (东京)
-        - value: eu-central-1
-          label:
-            en_US: Europe (Frankfurt)
-            zh_Hans: 欧洲 (法兰克福)
-        - value: us-gov-west-1
-          label:
-            en_US: AWS GovCloud (US-West)
-            zh_Hans: AWS GovCloud (US-West)
-        - value: ap-southeast-2
-          label:
-            en_US: Asia Pacific (Sydney)
-            zh_Hans: 亚太地区 (悉尼)
-        - value: cn-north-1
-          label:
-            en_US: AWS Beijing (cn-north-1)
-            zh_Hans: 中国北京 (cn-north-1)
-        - value: cn-northwest-1
-          label:
-            en_US: AWS Ningxia (cn-northwest-1)
-            zh_Hans: 中国宁夏 (cn-northwest-1)
diff --git a/api/core/model_runtime/model_providers/sagemaker/speech2text/__init__.py b/api/core/model_runtime/model_providers/sagemaker/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py b/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py
deleted file mode 100644
index a6aca13045..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py
+++ /dev/null
@@ -1,128 +0,0 @@
-import json
-import logging
-from typing import IO, Any, Optional
-
-import boto3  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.sagemaker.sagemaker import generate_presigned_url
-
-logger = logging.getLogger(__name__)
-
-
-class SageMakerSpeech2TextModel(Speech2TextModel):
-    """
-    Model class for Xinference speech to text model.
-    """
-
-    sagemaker_client: Any = None
-    s3_client: Any = None
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        asr_text = None
-
-        try:
-            if not self.sagemaker_client:
-                access_key = credentials.get("aws_access_key_id")
-                secret_key = credentials.get("aws_secret_access_key")
-                aws_region = credentials.get("aws_region")
-                if aws_region:
-                    if access_key and secret_key:
-                        self.sagemaker_client = boto3.client(
-                            "sagemaker-runtime",
-                            aws_access_key_id=access_key,
-                            aws_secret_access_key=secret_key,
-                            region_name=aws_region,
-                        )
-                        self.s3_client = boto3.client(
-                            "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region
-                        )
-                    else:
-                        self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                        self.s3_client = boto3.client("s3", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-                    self.s3_client = boto3.client("s3")
-
-            s3_prefix = "dify/speech2text/"
-            sagemaker_endpoint = credentials.get("sagemaker_endpoint")
-            bucket = credentials.get("audio_s3_cache_bucket")
-            assert bucket is not None, "audio_s3_cache_bucket is required in credentials"
-
-            s3_presign_url = generate_presigned_url(self.s3_client, file, bucket, s3_prefix)
-            payload = {"audio_s3_presign_uri": s3_presign_url}
-
-            response_model = self.sagemaker_client.invoke_endpoint(
-                EndpointName=sagemaker_endpoint, Body=json.dumps(payload), ContentType="application/json"
-            )
-            json_str = response_model["Body"].read().decode("utf8")
-            json_obj = json.loads(json_str)
-            asr_text = json_obj["text"]
-        except Exception as e:
-            logger.exception(f"failed to invoke speech2text model, model: {model}")
-            raise CredentialsValidateFailedError(str(e))
-
-        return asr_text
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        pass
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/sagemaker/text_embedding/__init__.py b/api/core/model_runtime/model_providers/sagemaker/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py
deleted file mode 100644
index e7eccd997d..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,201 +0,0 @@
-import itertools
-import json
-import logging
-import time
-from typing import Any, Optional
-
-import boto3  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-BATCH_SIZE = 20
-CONTEXT_SIZE = 8192
-
-logger = logging.getLogger(__name__)
-
-
-def batch_generator(generator, batch_size):
-    while True:
-        batch = list(itertools.islice(generator, batch_size))
-        if not batch:
-            break
-        yield batch
-
-
-class SageMakerEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Cohere text embedding model.
-    """
-
-    sagemaker_client: Any = None
-
-    def _sagemaker_embedding(self, sm_client, endpoint_name, content_list: list[str]):
-        response_model = sm_client.invoke_endpoint(
-            EndpointName=endpoint_name,
-            Body=json.dumps({"inputs": content_list, "parameters": {}, "is_query": False, "instruction": ""}),
-            ContentType="application/json",
-        )
-        json_str = response_model["Body"].read().decode("utf8")
-        json_obj = json.loads(json_str)
-        embeddings = json_obj["embeddings"]
-        return embeddings
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        # get model properties
-        try:
-            line = 1
-            if not self.sagemaker_client:
-                access_key = credentials.get("aws_access_key_id")
-                secret_key = credentials.get("aws_secret_access_key")
-                aws_region = credentials.get("aws_region")
-                if aws_region:
-                    if access_key and secret_key:
-                        self.sagemaker_client = boto3.client(
-                            "sagemaker-runtime",
-                            aws_access_key_id=access_key,
-                            aws_secret_access_key=secret_key,
-                            region_name=aws_region,
-                        )
-                    else:
-                        self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-
-            line = 2
-            sagemaker_endpoint = credentials.get("sagemaker_endpoint")
-
-            line = 3
-            truncated_texts = [item[:CONTEXT_SIZE] for item in texts]
-
-            batches = batch_generator((text for text in truncated_texts), batch_size=BATCH_SIZE)
-            all_embeddings = []
-
-            line = 4
-            for batch in batches:
-                embeddings = self._sagemaker_embedding(self.sagemaker_client, sagemaker_endpoint, batch)
-                all_embeddings.extend(embeddings)
-
-            line = 5
-            # calc usage
-            usage = self._calc_response_usage(
-                model=model,
-                credentials=credentials,
-                tokens=0,  # It's not SAAS API, usage is meaningless
-            )
-            line = 6
-
-            return TextEmbeddingResult(embeddings=all_embeddings, usage=usage, model=model)
-
-        except Exception as e:
-            logger.exception(f"Failed to invoke text embedding model, model: {model}, line: {line}")
-            raise InvokeError(str(e))
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return 0
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            print("validate_credentials ok....")
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: CONTEXT_SIZE,
-                ModelPropertyKey.MAX_CHUNKS: BATCH_SIZE,
-            },
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/sagemaker/tts/__init__.py b/api/core/model_runtime/model_providers/sagemaker/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/sagemaker/tts/tts.py b/api/core/model_runtime/model_providers/sagemaker/tts/tts.py
deleted file mode 100644
index 62231c518d..0000000000
--- a/api/core/model_runtime/model_providers/sagemaker/tts/tts.py
+++ /dev/null
@@ -1,275 +0,0 @@
-import concurrent.futures
-import copy
-import json
-import logging
-from enum import Enum
-from typing import Any, Optional
-
-import boto3  # type: ignore
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-
-logger = logging.getLogger(__name__)
-
-
-class TTSModelType(Enum):
-    PresetVoice = "PresetVoice"
-    CloneVoice = "CloneVoice"
-    CloneVoice_CrossLingual = "CloneVoice_CrossLingual"
-    InstructVoice = "InstructVoice"
-
-
-class SageMakerText2SpeechModel(TTSModel):
-    sagemaker_client: Any = None
-    s3_client: Any = None
-    comprehend_client: Any = None
-
-    def __init__(self):
-        # preset voices, need support custom voice
-        self.model_voices = {
-            "__default": {
-                "all": [
-                    {"name": "Default", "value": "default"},
-                ]
-            },
-            "CosyVoice": {
-                "zh-Hans": [
-                    {"name": "中文男", "value": "中文男"},
-                    {"name": "中文女", "value": "中文女"},
-                    {"name": "粤语女", "value": "粤语女"},
-                ],
-                "zh-Hant": [
-                    {"name": "中文男", "value": "中文男"},
-                    {"name": "中文女", "value": "中文女"},
-                    {"name": "粤语女", "value": "粤语女"},
-                ],
-                "en-US": [
-                    {"name": "英文男", "value": "英文男"},
-                    {"name": "英文女", "value": "英文女"},
-                ],
-                "ja-JP": [
-                    {"name": "日语男", "value": "日语男"},
-                ],
-                "ko-KR": [
-                    {"name": "韩语女", "value": "韩语女"},
-                ],
-            },
-        }
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        pass
-
-    def _detect_lang_code(self, content: str, map_dict: Optional[dict] = None):
-        map_dict = {"zh": "<|zh|>", "en": "<|en|>", "ja": "<|jp|>", "zh-TW": "<|yue|>", "ko": "<|ko|>"}
-
-        response = self.comprehend_client.detect_dominant_language(Text=content)
-        language_code = response["Languages"][0]["LanguageCode"]
-
-        return map_dict.get(language_code, "<|zh|>")
-
-    def _build_tts_payload(
-        self,
-        model_type: str,
-        content_text: str,
-        model_role: str,
-        prompt_text: str,
-        prompt_audio: str,
-        instruct_text: str,
-    ):
-        if model_type == TTSModelType.PresetVoice.value and model_role:
-            return {"tts_text": content_text, "role": model_role}
-        if model_type == TTSModelType.CloneVoice.value and prompt_text and prompt_audio:
-            return {"tts_text": content_text, "prompt_text": prompt_text, "prompt_audio": prompt_audio}
-        if model_type == TTSModelType.CloneVoice_CrossLingual.value and prompt_audio:
-            lang_tag = self._detect_lang_code(content_text)
-            return {"tts_text": f"{content_text}", "prompt_audio": prompt_audio, "lang_tag": lang_tag}
-        if model_type == TTSModelType.InstructVoice.value and instruct_text and model_role:
-            return {"tts_text": content_text, "role": model_role, "instruct_text": instruct_text}
-
-        raise RuntimeError(f"Invalid params for {model_type}")
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ):
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        if not self.sagemaker_client:
-            access_key = credentials.get("aws_access_key_id")
-            secret_key = credentials.get("aws_secret_access_key")
-            aws_region = credentials.get("aws_region")
-            if aws_region:
-                if access_key and secret_key:
-                    self.sagemaker_client = boto3.client(
-                        "sagemaker-runtime",
-                        aws_access_key_id=access_key,
-                        aws_secret_access_key=secret_key,
-                        region_name=aws_region,
-                    )
-                    self.s3_client = boto3.client(
-                        "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region
-                    )
-                    self.comprehend_client = boto3.client(
-                        "comprehend",
-                        aws_access_key_id=access_key,
-                        aws_secret_access_key=secret_key,
-                        region_name=aws_region,
-                    )
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                    self.s3_client = boto3.client("s3", region_name=aws_region)
-                    self.comprehend_client = boto3.client("comprehend", region_name=aws_region)
-            else:
-                self.sagemaker_client = boto3.client("sagemaker-runtime")
-                self.s3_client = boto3.client("s3")
-                self.comprehend_client = boto3.client("comprehend")
-
-        model_type = credentials.get("audio_model_type", "PresetVoice")
-        prompt_text = credentials.get("prompt_text")
-        prompt_audio = credentials.get("prompt_audio")
-        instruct_text = credentials.get("instruct_text")
-        sagemaker_endpoint = credentials.get("sagemaker_endpoint")
-        payload = self._build_tts_payload(model_type, content_text, voice, prompt_text, prompt_audio, instruct_text)
-
-        return self._tts_invoke_streaming(model_type, payload, sagemaker_endpoint)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TTS,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
-        return ""
-
-    def _get_model_word_limit(self, model: str, credentials: dict) -> int:
-        return 15
-
-    def _get_model_audio_type(self, model: str, credentials: dict) -> str:
-        return "mp3"
-
-    def _get_model_workers_limit(self, model: str, credentials: dict) -> int:
-        return 5
-
-    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
-        audio_model_name = "CosyVoice"
-        for key, voices in self.model_voices.items():
-            if key in audio_model_name:
-                if language and language in voices:
-                    return voices[language]
-                elif "all" in voices:
-                    return voices["all"]
-
-        return self.model_voices["__default"]["all"]
-
-    def _invoke_sagemaker(self, payload: dict, endpoint: str):
-        response_model = self.sagemaker_client.invoke_endpoint(
-            EndpointName=endpoint,
-            Body=json.dumps(payload),
-            ContentType="application/json",
-        )
-        json_str = response_model["Body"].read().decode("utf8")
-        json_obj = json.loads(json_str)
-        return json_obj
-
-    def _tts_invoke_streaming(self, model_type: str, payload: dict, sagemaker_endpoint: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        try:
-            lang_tag = ""
-            if model_type == TTSModelType.CloneVoice_CrossLingual.value:
-                lang_tag = payload.pop("lang_tag")
-
-            word_limit = self._get_model_word_limit(model="", credentials={})
-            content_text = payload.get("tts_text")
-            if len(content_text) > word_limit:
-                split_sentences = self._split_text_into_sentences(content_text, max_length=word_limit)
-                sentences = [f"{lang_tag}{s}" for s in split_sentences if len(s)]
-                len_sent = len(sentences)
-                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(4, len_sent))
-                payloads = [copy.deepcopy(payload) for i in range(len_sent)]
-                for idx in range(len_sent):
-                    payloads[idx]["tts_text"] = sentences[idx]
-
-                futures = [
-                    executor.submit(
-                        self._invoke_sagemaker,
-                        payload=payload,
-                        endpoint=sagemaker_endpoint,
-                    )
-                    for payload in payloads
-                ]
-
-                for future in futures:
-                    resp = future.result()
-                    audio_bytes = requests.get(resp.get("s3_presign_url")).content
-                    for i in range(0, len(audio_bytes), 1024):
-                        yield audio_bytes[i : i + 1024]
-            else:
-                resp = self._invoke_sagemaker(payload, sagemaker_endpoint)
-                audio_bytes = requests.get(resp.get("s3_presign_url")).content
-
-                for i in range(0, len(audio_bytes), 1024):
-                    yield audio_bytes[i : i + 1024]
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg
deleted file mode 100644
index 16e406f030..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg
deleted file mode 100644
index ad6b384f7a..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="none" version="1.1" width="128" height="128" viewBox="0 0 128 128"><g><g style="opacity:0;"><rect x="0" y="0" width="128" height="128" rx="0" fill="#FFFFFF" fill-opacity="1"/></g><g><path d="M100.74,12L93.2335,12C69.21260000000001,12,55.3672,27.3468,55.3672,50.8672L55.3672,54.8988C52.6011,54.1056,49.7377,53.7031,46.8601,53.7031C29.816499999999998,53.7031,16,67.5196,16,84.5632C16,101.6069,29.816499999999998,115.423,46.8601,115.423C63.9037,115.423,77.72030000000001,101.6069,77.72030000000001,84.5632C77.72030000000001,82.4902,77.51140000000001,80.4223,77.0967,78.3911L77.2197,78.3911L100.74,78.3911C106.9654,78.3681,112,73.3151,112,67.08959999999999C112,60.8642,106.9654,55.8111,100.74,55.7882L100.7362,55.7882L100.6985,55.7879L100.6606,55.7882L77.2197,55.7882L77.2195,49.8663C77.2195,40.8584,83.7252,34.352900000000005,93.2335,34.352900000000005L100.5653,34.352900000000005L100.5733,34.352900000000005L100.5812,34.352900000000005L100.74,34.352900000000005L100.74,34.352900000000005C106.8469,34.2605,111.7497,29.284,111.7497,23.1764C111.7497,17.06889,106.8469,12.0923454,100.74,12L100.74,12ZM56.0347,84.5632C56.0347,79.4962,51.9271,75.3885,46.8601,75.3885C41.793099999999995,75.3885,37.6854,79.4962,37.6854,84.5632C37.6854,89.6303,41.793099999999995,93.7378,46.8601,93.7378C51.9271,93.7378,56.0347,89.6303,56.0347,84.5632Z" fill-rule="evenodd" fill="#8358F6" fill-opacity="1"/></g></g></svg>
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diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml
deleted file mode 100644
index f7b03e1254..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: OpenGVLab/InternVL2-26B
-label:
-  en_US: OpenGVLab/InternVL2-26B
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '21'
-  output: '21'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml
deleted file mode 100644
index 1e858bb4be..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: Pro/OpenGVLab/InternVL2-8B
-label:
-  en_US: Pro/OpenGVLab/InternVL2-8B
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '21'
-  output: '21'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
deleted file mode 100644
index 2da670d4df..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-- Qwen/QwQ-32B-Preview
-- Qwen/Qwen2.5-72B-Instruct
-- Qwen/Qwen2.5-32B-Instruct
-- Qwen/Qwen2.5-14B-Instruct
-- Qwen/Qwen2.5-7B-Instruct
-- Qwen/Qwen2.5-Coder-32B-Instruct
-- Qwen/Qwen2.5-Coder-7B-Instruct
-- Qwen/Qwen2-VL-72B-Instruct
-- Qwen/Qwen2-1.5B-Instruct
-- Qwen/Qwen2.5-72B-Instruct-128K
-- Vendor-A/Qwen/Qwen2.5-72B-Instruct
-- Pro/Qwen/Qwen2-VL-7B-Instruct
-- OpenGVLab/InternVL2-26B
-- Pro/OpenGVLab/InternVL2-8B
-- deepseek-ai/DeepSeek-R1
-- deepseek-ai/DeepSeek-V2-Chat
-- deepseek-ai/DeepSeek-V2.5
-- deepseek-ai/DeepSeek-V3
-- deepseek-ai/DeepSeek-Coder-V2-Instruct
-- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
-- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
-- deepseek-ai/Janus-Pro-7B
-- THUDM/glm-4-9b-chat
-- 01-ai/Yi-1.5-34B-Chat-16K
-- 01-ai/Yi-1.5-9B-Chat-16K
-- 01-ai/Yi-1.5-6B-Chat
-- internlm/internlm2_5-20b-chat
-- internlm/internlm2_5-7b-chat
-- meta-llama/Llama-3.3-70B-Instruct
-- meta-llama/Meta-Llama-3.1-405B-Instruct
-- meta-llama/Meta-Llama-3.1-70B-Instruct
-- meta-llama/Meta-Llama-3.1-8B-Instruct
-- google/gemma-2-27b-it
-- google/gemma-2-9b-it
-- Tencent/Hunyuan-A52B-Instruct
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml
deleted file mode 100644
index b13a2a751c..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: deepseek-ai/DeepSeek-Coder-V2-Instruct
-label:
-  en_US: deepseek-ai/DeepSeek-Coder-V2-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '1.33'
-  output: '1.33'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml
deleted file mode 100644
index 59e0b4d68e..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "4.3"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml
deleted file mode 100644
index f3256aa5a0..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "0.00"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml
deleted file mode 100644
index 7297278654..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "1.26"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml
deleted file mode 100644
index 24b5c89ebf..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "0.70"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml
deleted file mode 100644
index 2a8cce1f96..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "1.26"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml
deleted file mode 100644
index cde1c14aae..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-  en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "0.00"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml
deleted file mode 100644
index 44c6a9d55e..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-ai/DeepSeek-R1
-label:
-  zh_Hans: deepseek-ai/DeepSeek-R1
-  en_US: deepseek-ai/DeepSeek-R1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "4"
-  output: "16"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml
deleted file mode 100644
index 00bdb0ddf5..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: deepseek-ai/DeepSeek-V2-Chat
-label:
-  en_US: deepseek-ai/DeepSeek-V2-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '1.33'
-  output: '1.33'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml
deleted file mode 100644
index 511cc1df9f..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: deepseek-ai/DeepSeek-V2.5
-label:
-  en_US: deepseek-ai/DeepSeek-V2.5
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.33'
-  output: '1.33'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml
deleted file mode 100644
index ed1a5f0099..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: deepseek-ai/DeepSeek-V3
-label:
-  en_US: deepseek-ai/DeepSeek-V3
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "1"
-  output: "2"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml
deleted file mode 100644
index 7fd7adb753..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: google/gemma-2-27b-it
-label:
-  en_US: google/gemma-2-27b-it
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8196
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml
deleted file mode 100644
index ab548e4409..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: google/gemma-2-9b-it
-label:
-  en_US: google/gemma-2-9b-it
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8196
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml
deleted file mode 100644
index 43c5b344a0..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: THUDM/glm-4-9b-chat
-label:
-  en_US: THUDM/glm-4-9b-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml
deleted file mode 100644
index 51d6c024ff..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-model: Tencent/Hunyuan-A52B-Instruct
-label:
-  en_US: Tencent/Hunyuan-A52B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '21'
-  output: '21'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml
deleted file mode 100644
index a5ae3674c9..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: internlm/internlm2_5-20b-chat
-label:
-  en_US: internlm/internlm2_5-20b-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1'
-  output: '1'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml
deleted file mode 100644
index dec856ed2e..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: internlm/internlm2_5-7b-chat
-label:
-  en_US: internlm/internlm2_5-7b-chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml
deleted file mode 100644
index b5443df18c..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-model: OpenGVLab/InternVL2-Llama3-76B
-label:
-  en_US: OpenGVLab/InternVL2-Llama3-76B
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '21'
-  output: '21'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml
deleted file mode 100644
index dabbd745e5..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: deepseek-ai/Janus-Pro-7B
-label:
-  zh_Hans: deepseek-ai/Janus-Pro-7B
-  en_US: deepseek-ai/Janus-Pro-7B
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.00"
-  output: "0.00"
-  unit: "0.000001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
deleted file mode 100644
index dffe321496..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py
+++ /dev/null
@@ -1,94 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = "https://api.siliconflow.cn/v1"
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model, zh_Hans=model),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "tool_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 1024)),
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="top_k",
-                    use_template="top_k",
-                    label=I18nObject(en_US="Top K", zh_Hans="Top K"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    use_template="frequency_penalty",
-                    label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml
deleted file mode 100644
index 9373a8f4ca..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: meta-llama/Llama-3.3-70B-Instruct
-label:
-  en_US: meta-llama/Llama-3.3-70B-Instruct
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml
deleted file mode 100644
index 9825090759..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: meta-llama/Meta-Llama-3-70B-Instruct
-label:
-  en_US: meta-llama/Meta-Llama-3-70B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml
deleted file mode 100644
index 0133fd15d4..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: meta-llama/Meta-Llama-3-8B-Instruct
-label:
-  en_US: meta-llama/Meta-Llama-3-8B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml
deleted file mode 100644
index ceebbac515..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: meta-llama/Meta-Llama-3.1-405B-Instruct
-label:
-  en_US: meta-llama/Meta-Llama-3.1-405B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '21'
-  output: '21'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml
deleted file mode 100644
index f1fbb74cbd..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: meta-llama/Meta-Llama-3.1-70B-Instruct
-label:
-  en_US: meta-llama/Meta-Llama-3.1-70B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml
deleted file mode 100644
index a9a43545e8..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: meta-llama/Meta-Llama-3.1-8B-Instruct
-label:
-  en_US: meta-llama/Meta-Llama-3.1-8B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml
deleted file mode 100644
index a71d8688a8..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: mistralai/Mistral-7B-Instruct-v0.2
-label:
-  en_US: mistralai/Mistral-7B-Instruct-v0.2
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml
deleted file mode 100644
index db45a75c6d..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: mistralai/Mixtral-8x7B-Instruct-v0.1
-label:
-  en_US: mistralai/Mixtral-8x7B-Instruct-v0.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml
deleted file mode 100644
index dada6bb803..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-model: Qwen/QVQ-72B-Preview
-label:
-  en_US: Qwen/QVQ-72B-Preview
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 16384
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '9.90'
-  output: '9.90'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml
deleted file mode 100644
index e73c5d2030..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-model: Qwen/QwQ-32B-Preview
-label:
-  en_US: Qwen/QwQ-32B-Preview
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml
deleted file mode 100644
index bec5d37c57..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: Qwen/Qwen2-1.5B-Instruct
-label:
-  en_US: Qwen/Qwen2-1.5B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml
deleted file mode 100644
index 0f56d16d9b..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: Qwen/Qwen2-57B-A14B-Instruct
-label:
-  en_US: Qwen/Qwen2-57B-A14B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml
deleted file mode 100644
index af65cfb8ed..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: Qwen/Qwen2-72B-Instruct
-label:
-  en_US: Qwen/Qwen2-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml
deleted file mode 100644
index f0f10ae625..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: Qwen/Qwen2-7B-Instruct
-label:
-  en_US: Qwen/Qwen2-7B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml
deleted file mode 100644
index f5180b41f1..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: Qwen/Qwen2-VL-72B-Instruct
-label:
-  en_US: Qwen/Qwen2-VL-72B-Instruct
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml
deleted file mode 100644
index 0ffbaee383..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: Pro/Qwen/Qwen2-VL-7B-Instruct
-label:
-  en_US: Pro/Qwen/Qwen2-VL-7B-Instruct
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.35'
-  output: '0.35'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml
deleted file mode 100644
index 8a045b818a..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-14B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-14B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.7'
-  output: '0.7'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml
deleted file mode 100644
index 9c308d2ab4..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-32B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-32B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml
deleted file mode 100644
index 79f94da376..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-72B-Instruct-128K
-label:
-  en_US: Qwen/Qwen2.5-72B-Instruct-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml
deleted file mode 100644
index fdbe38ff21..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Vendor-A/Qwen/Qwen2.5-72B-Instruct
-label:
-  en_US: Vendor-A/Qwen/Qwen2.5-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.00'
-  output: '1.00'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml
deleted file mode 100644
index de9d9d97bf..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-72B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml
deleted file mode 100644
index bb85dbe948..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-7B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-7B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml
deleted file mode 100644
index de2224a67b..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: Qwen/Qwen2.5-Coder-32B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-Coder-32B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml
deleted file mode 100644
index c31a338cdd..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-model: Qwen/Qwen2.5-Coder-7B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-Coder-7B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml
deleted file mode 100644
index 40c9ab48ca..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-model: Qwen/Qwen2.5-Math-72B-Instruct
-label:
-  en_US: Qwen/Qwen2.5-Math-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml
deleted file mode 100644
index 3e25f82369..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: 01-ai/Yi-1.5-34B-Chat
-label:
-  en_US: 01-ai/Yi-1.5-34B-Chat-16K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '1.26'
-  output: '1.26'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml
deleted file mode 100644
index 827b2ce1e5..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: 01-ai/Yi-1.5-6B-Chat
-label:
-  en_US: 01-ai/Yi-1.5-6B-Chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml
deleted file mode 100644
index 112fcbfe97..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: 01-ai/Yi-1.5-9B-Chat-16K
-label:
-  en_US: 01-ai/Yi-1.5-9B-Chat-16K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/__init__.py b/api/core/model_runtime/model_providers/siliconflow/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml b/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml
deleted file mode 100644
index ff3635bfeb..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: netease-youdao/bce-reranker-base_v1
-model_type: rerank
-model_properties:
-  context_size: 512
diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml b/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml
deleted file mode 100644
index 807f531b08..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: BAAI/bge-reranker-v2-m3
-model_type: rerank
-model_properties:
-  context_size: 8192
diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py b/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py
deleted file mode 100644
index 58b033d28a..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py
+++ /dev/null
@@ -1,85 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class SiliconflowRerankModel(RerankModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        base_url = credentials.get("base_url", "https://api.siliconflow.cn/v1")
-        base_url = base_url.removesuffix("/")
-        try:
-            response = httpx.post(
-                base_url + "/rerank",
-                json={"model": model, "query": query, "documents": docs, "top_n": top_n, "return_documents": True},
-                headers={"Authorization": f"Bearer {credentials.get('api_key')}"},
-            )
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["results"]:
-                rerank_document = RerankDocument(
-                    index=result["index"],
-                    text=result["document"]["text"],
-                    score=result["relevance_score"],
-                )
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py
deleted file mode 100644
index 03c4306144..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class SiliconflowProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="deepseek-ai/DeepSeek-V2.5", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml b/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml
deleted file mode 100644
index 73a9e80769..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-provider: siliconflow
-label:
-  zh_Hans: 硅基流动
-  en_US: SiliconFlow
-icon_small:
-  en_US: siliconflow_square.svg
-icon_large:
-  en_US: siliconflow.svg
-background: "#ffecff"
-help:
-  title:
-    en_US: Get your API Key from SiliconFlow
-    zh_Hans: 从 SiliconFlow 获取 API Key
-  url:
-    en_US: https://cloud.siliconflow.cn/account/ak
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-  - tts
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '4096'
-      type: text-input
-      show_on:
-        - variable: __model_type
-          value: llm
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-        - value: function_call
-          label:
-            en_US: Support
-            zh_Hans: 支持
-      show_on:
-        - variable: __model_type
-          value: llm
diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/__init__.py b/api/core/model_runtime/model_providers/siliconflow/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml b/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml
deleted file mode 100644
index d4bc33c68e..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: FunAudioLLM/SenseVoiceSmall
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: mp3,wav
diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml b/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml
deleted file mode 100644
index 455b2ad467..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-model: iic/SenseVoiceSmall
-model_type: speech2text
-model_properties:
-  file_upload_limit: 1
-  supported_file_extensions: mp3,wav
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py b/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py
deleted file mode 100644
index 8d1932863e..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from typing import IO, Optional
-
-from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import OAICompatSpeech2TextModel
-
-
-class SiliconflowSpeech2TextModel(OAICompatSpeech2TextModel):
-    """
-    Model class for Siliconflow Speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        return super().validate_credentials(model, credentials)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["endpoint_url"] = "https://api.siliconflow.cn/v1"
diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml
deleted file mode 100644
index 710fbc04f6..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: netease-youdao/bce-embedding-base_v1
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml
deleted file mode 100644
index 84f69b41a0..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: BAAI/bge-large-en-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml
deleted file mode 100644
index 5248375d0b..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: BAAI/bge-large-zh-v1.5
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml
deleted file mode 100644
index f0b12dd420..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: BAAI/bge-m3
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 1
diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py
deleted file mode 100644
index 5e29a4827a..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
-    OAICompatEmbeddingModel,
-)
-
-
-class SiliconflowTextEmbeddingModel(OAICompatEmbeddingModel):
-    """
-    Model class for Siliconflow text embedding model.
-    """
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, texts, user)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        self._add_custom_parameters(credentials)
-        return super().get_num_tokens(model, credentials, texts)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["endpoint_url"] = "https://api.siliconflow.cn/v1"
diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/__init__.py b/api/core/model_runtime/model_providers/siliconflow/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml b/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml
deleted file mode 100644
index 4adfd05c60..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: fishaudio/fish-speech-1.4
-model_type: tts
-model_properties:
-  default_voice: 'fishaudio/fish-speech-1.4:alex'
-  voices:
-    - mode: "fishaudio/fish-speech-1.4:alex"
-      name: "Alex（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:benjamin"
-      name: "Benjamin（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:charles"
-      name: "Charles（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:david"
-      name: "David（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:anna"
-      name: "Anna（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:bella"
-      name: "Bella（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:claire"
-      name: "Claire（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.4:diana"
-      name: "Diana（女声）"
-      language: [ "zh-Hans", "en-US" ]
-  audio_type: 'mp3'
-  max_workers: 5
-  # stream: false
-pricing:
-  input: '0.015'
-  output: '0'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml
deleted file mode 100644
index e2cc86d060..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: fishaudio/fish-speech-1.5
-model_type: tts
-model_properties:
-  default_voice: 'fishaudio/fish-speech-1.5:alex'
-  voices:
-    - mode: "fishaudio/fish-speech-1.5:alex"
-      name: "Alex（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:benjamin"
-      name: "Benjamin（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:charles"
-      name: "Charles（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:david"
-      name: "David（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:anna"
-      name: "Anna（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:bella"
-      name: "Bella（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:claire"
-      name: "Claire（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:diana"
-      name: "Diana（女声）"
-      language: [ "zh-Hans", "en-US" ]
-  audio_type: 'mp3'
-  max_workers: 5
-  # stream: false
-pricing:
-  input: '0.015'
-  output: '0'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/tts.py b/api/core/model_runtime/model_providers/siliconflow/tts/tts.py
deleted file mode 100644
index a5554abb73..0000000000
--- a/api/core/model_runtime/model_providers/siliconflow/tts/tts.py
+++ /dev/null
@@ -1,105 +0,0 @@
-import concurrent.futures
-from typing import Any, Optional
-
-from openai import OpenAI
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-
-
-class SiliconFlowText2SpeechModel(_CommonOpenAI, TTSModel):
-    """
-    Model class for SiliconFlow Speech to text model.
-    """
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        if not voice or voice not in [
-            d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials)
-        ]:
-            voice = self._get_model_default_voice(model, credentials)
-        # if streaming:
-        return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
-        """
-        validate credentials text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        try:
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello SiliconFlow!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        try:
-            # doc: https://docs.siliconflow.cn/capabilities/text-to-speech
-            self._add_custom_parameters(credentials)
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-            model_support_voice = [
-                x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials)
-            ]
-            if not voice or voice not in model_support_voice:
-                voice = self._get_model_default_voice(model, credentials)
-            if len(content_text) > 4096:
-                sentences = self._split_text_into_sentences(content_text, max_length=4096)
-                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
-                futures = [
-                    executor.submit(
-                        client.audio.speech.with_streaming_response.create,
-                        model=model,
-                        response_format="mp3",
-                        input=sentences[i],
-                        voice=voice,
-                    )
-                    for i in range(len(sentences))
-                ]
-                for future in futures:
-                    yield from future.result().__enter__().iter_bytes(1024)  # noqa:PLC2801
-
-            else:
-                response = client.audio.speech.with_streaming_response.create(
-                    model=model, voice=voice, response_format="mp3", input=content_text.strip()
-                )
-
-                yield from response.__enter__().iter_bytes(1024)  # noqa:PLC2801
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["openai_api_base"] = "https://api.siliconflow.cn"
-        credentials["openai_api_key"] = credentials["api_key"]
diff --git a/api/core/model_runtime/model_providers/spark/__init__.py b/api/core/model_runtime/model_providers/spark/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg
deleted file mode 100644
index 521c68cae5..0000000000
--- a/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,24 +0,0 @@
-<svg width="150" height="24" viewBox="0 0 150 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g clip-path="url(#clip0_8587_60507)">
-<path d="M19.6552 16.7993C19.3116 18.0034 18.7389 19.0938 18.0059 20.048C16.9063 21.4111 13.1266 21.4111 10.8588 20.8204C8.40766 20.1616 6.64379 18.6395 6.50635 18.5259C7.46846 19.2756 8.68255 19.7072 10.0112 19.7072C13.1953 19.7072 15.7609 17.1174 15.7609 13.9368C15.7609 12.9826 15.5319 12.0966 15.1195 11.3015C15.0966 11.2561 15.1424 11.2106 15.1653 11.2333C16.975 11.5287 20.5715 13.2098 19.6552 16.7993Z" fill="#2751D0"/>
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diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg
deleted file mode 100644
index 71d85216aa..0000000000
--- a/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg
+++ /dev/null
@@ -1,11 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg
deleted file mode 100644
index ef0a9131a4..0000000000
--- a/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,5 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
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diff --git a/api/core/model_runtime/model_providers/spark/llm/__init__.py b/api/core/model_runtime/model_providers/spark/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/spark/llm/_client.py b/api/core/model_runtime/model_providers/spark/llm/_client.py
deleted file mode 100644
index d8421cd7a0..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/_client.py
+++ /dev/null
@@ -1,163 +0,0 @@
-import base64
-import hashlib
-import hmac
-import json
-import queue
-import ssl
-from datetime import datetime
-from time import mktime
-from typing import Optional
-from urllib.parse import urlencode, urlparse
-from wsgiref.handlers import format_date_time
-
-import websocket
-
-
-class SparkLLMClient:
-    def __init__(self, model: str, app_id: str, api_key: str, api_secret: str, api_domain: Optional[str] = None):
-        domain = "spark-api.xf-yun.com"
-        endpoint = "chat"
-        if api_domain:
-            domain = api_domain
-
-        model_api_configs = {
-            "spark-lite": {"version": "v1.1", "chat_domain": "lite"},
-            "spark-pro": {"version": "v3.1", "chat_domain": "generalv3"},
-            "spark-pro-128k": {"version": "pro-128k", "chat_domain": "pro-128k"},
-            "spark-max": {"version": "v3.5", "chat_domain": "generalv3.5"},
-            "spark-max-32k": {"version": "max-32k", "chat_domain": "max-32k"},
-            "spark-4.0-ultra": {"version": "v4.0", "chat_domain": "4.0Ultra"},
-        }
-
-        api_version = model_api_configs[model]["version"]
-
-        self.chat_domain = model_api_configs[model]["chat_domain"]
-
-        if model in ["spark-pro-128k", "spark-max-32k"]:
-            self.api_base = f"wss://{domain}/{endpoint}/{api_version}"
-        else:
-            self.api_base = f"wss://{domain}/{api_version}/{endpoint}"
-
-        self.app_id = app_id
-        self.ws_url = self.create_url(
-            urlparse(self.api_base).netloc, urlparse(self.api_base).path, self.api_base, api_key, api_secret
-        )
-
-        self.queue = queue.Queue()
-        self.blocking_message = ""
-
-    def create_url(self, host: str, path: str, api_base: str, api_key: str, api_secret: str) -> str:
-        # generate timestamp by RFC1123
-        now = datetime.now()
-        date = format_date_time(mktime(now.timetuple()))
-
-        signature_origin = "host: " + host + "\n"
-        signature_origin += "date: " + date + "\n"
-        signature_origin += "GET " + path + " HTTP/1.1"
-
-        # encrypt using hmac-sha256
-        signature_sha = hmac.new(
-            api_secret.encode("utf-8"), signature_origin.encode("utf-8"), digestmod=hashlib.sha256
-        ).digest()
-
-        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding="utf-8")
-
-        authorization_origin = (
-            f'api_key="{api_key}", algorithm="hmac-sha256", headers="host date request-line",'
-            f' signature="{signature_sha_base64}"'
-        )
-
-        authorization = base64.b64encode(authorization_origin.encode("utf-8")).decode(encoding="utf-8")
-
-        v = {"authorization": authorization, "date": date, "host": host}
-        # generate url
-        url = api_base + "?" + urlencode(v)
-        return url
-
-    def run(self, messages: list, user_id: str, model_kwargs: Optional[dict] = None, streaming: bool = False):
-        websocket.enableTrace(False)
-        ws = websocket.WebSocketApp(
-            self.ws_url,
-            on_message=self.on_message,
-            on_error=self.on_error,
-            on_close=self.on_close,
-            on_open=self.on_open,
-        )
-        ws.messages = messages
-        ws.user_id = user_id
-        ws.model_kwargs = model_kwargs
-        ws.streaming = streaming
-        ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
-
-    def on_error(self, ws, error):
-        self.queue.put({"status_code": error.status_code, "error": error.resp_body.decode("utf-8")})
-        ws.close()
-
-    def on_close(self, ws, close_status_code, close_reason):
-        self.queue.put({"done": True})
-
-    def on_open(self, ws):
-        self.blocking_message = ""
-        data = json.dumps(self.gen_params(messages=ws.messages, user_id=ws.user_id, model_kwargs=ws.model_kwargs))
-        ws.send(data)
-
-    def on_message(self, ws, message):
-        data = json.loads(message)
-        code = data["header"]["code"]
-        if code != 0:
-            self.queue.put({"status_code": 400, "error": f"Code: {code}, Error: {data['header']['message']}"})
-            ws.close()
-        else:
-            choices = data["payload"]["choices"]
-            status = choices["status"]
-            content = choices["text"][0]["content"]
-            if ws.streaming:
-                self.queue.put({"data": content})
-            else:
-                self.blocking_message += content
-
-            if status == 2:
-                if not ws.streaming:
-                    self.queue.put({"data": self.blocking_message})
-                ws.close()
-
-    def gen_params(self, messages: list, user_id: str, model_kwargs: Optional[dict] = None) -> dict:
-        data = {
-            "header": {
-                "app_id": self.app_id,
-                # resolve this error message => $.header.uid' length must be less or equal than 32
-                "uid": user_id[:32] if user_id else None,
-            },
-            "parameter": {"chat": {"domain": self.chat_domain}},
-            "payload": {"message": {"text": messages}},
-        }
-
-        if model_kwargs:
-            data["parameter"]["chat"].update(model_kwargs)
-
-        return data
-
-    def subscribe(self):
-        while True:
-            content = self.queue.get()
-            if "error" in content:
-                if content["status_code"] == 401:
-                    raise SparkError(
-                        "[Spark] The credentials you provided are incorrect. "
-                        "Please double-check and fill them in again."
-                    )
-                elif content["status_code"] == 403:
-                    raise SparkError(
-                        "[Spark] Sorry, the credentials you provided are access denied. "
-                        "Please try again after obtaining the necessary permissions."
-                    )
-                else:
-                    raise SparkError(f"[Spark] code: {content['status_code']}, error: {content['error']}")
-
-            if "data" not in content:
-                break
-            yield content
-
-
-class SparkError(Exception):
-    pass
diff --git a/api/core/model_runtime/model_providers/spark/llm/_position.yaml b/api/core/model_runtime/model_providers/spark/llm/_position.yaml
deleted file mode 100644
index 73f39cb119..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/_position.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-- spark-max-32k
-- spark-4.0-ultra
-- spark-max
-- spark-pro-128k
-- spark-pro
-- spark-lite
-- spark-4
-- spark-3.5
-- spark-3
-- spark-1.5
-- spark-2
diff --git a/api/core/model_runtime/model_providers/spark/llm/llm.py b/api/core/model_runtime/model_providers/spark/llm/llm.py
deleted file mode 100644
index cb6f28b6c2..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/llm.py
+++ /dev/null
@@ -1,309 +0,0 @@
-import threading
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-from ._client import SparkLLMClient
-
-
-class SparkLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke model
-        return self._generate(model, credentials, prompt_messages, model_parameters, stop, stream, user)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[
-                    UserPromptMessage(content="ping"),
-                ],
-                model_parameters={
-                    "temperature": 0.5,
-                },
-                stream=False,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        extra_model_kwargs = {}
-        if stop:
-            extra_model_kwargs["stop_sequences"] = stop
-
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        client = SparkLLMClient(
-            model=model,
-            **credentials_kwargs,
-        )
-
-        thread = threading.Thread(
-            target=client.run,
-            args=(
-                [
-                    {"role": prompt_message.role.value, "content": prompt_message.content}
-                    for prompt_message in prompt_messages
-                ],
-                user,
-                model_parameters,
-                stream,
-            ),
-        )
-        thread.start()
-
-        if stream:
-            return self._handle_generate_stream_response(thread, model, credentials, client, prompt_messages)
-
-        return self._handle_generate_response(thread, model, credentials, client, prompt_messages)
-
-    def _handle_generate_response(
-        self,
-        thread: threading.Thread,
-        model: str,
-        credentials: dict,
-        client: SparkLLMClient,
-        prompt_messages: list[PromptMessage],
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        completion = ""
-
-        for content in client.subscribe():
-            if isinstance(content, dict):
-                delta = content["data"]
-            else:
-                delta = content
-
-            completion += delta
-
-        thread.join()
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=completion)
-
-        # calculate num tokens
-        prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self,
-        thread: threading.Thread,
-        model: str,
-        credentials: dict,
-        client: SparkLLMClient,
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param thread: thread
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        completion = ""
-        for index, content in enumerate(client.subscribe()):
-            if isinstance(content, dict):
-                delta = content["data"]
-            else:
-                delta = content
-            completion += delta
-            assistant_prompt_message = AssistantPromptMessage(
-                content=delta or "",
-            )
-            temp_assistant_prompt_message = AssistantPromptMessage(
-                content=completion,
-            )
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, [temp_assistant_prompt_message])
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message, usage=usage),
-            )
-
-        thread.join()
-
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "app_id": credentials["app_id"],
-            "api_secret": credentials["api_secret"],
-            "api_key": credentials["api_key"],
-        }
-
-        return credentials_kwargs
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage):
-            message_text = cast(str, content)
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Anthropic model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml
deleted file mode 100644
index fcd65c24e0..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: spark-1.5
-deprecated: true
-label:
-  en_US: Spark V1.5
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: 模型回答的tokens的最大长度。
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml
deleted file mode 100644
index 2db6805a2e..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: spark-2
-deprecated: true
-label:
-  en_US: Spark V2.0
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: 模型回答的tokens的最大长度。
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml
deleted file mode 100644
index 86617a53d0..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: spark-3.5
-deprecated: true
-label:
-  en_US: Spark V3.5
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: 模型回答的tokens的最大长度。
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml
deleted file mode 100644
index 9f296c684d..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: spark-3
-deprecated: true
-label:
-  en_US: Spark V3.0
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 2048
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: 模型回答的tokens的最大长度。
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml
deleted file mode 100644
index bbf85764f1..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-model: spark-4.0-ultra
-label:
-  en_US: Spark 4.0 Ultra
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
-  - name: show_ref_label
-    label:
-      zh_Hans: 联网检索
-      en_US: web search
-    type: boolean
-    default: false
-    help:
-      zh_Hans: 该参数仅4.0 Ultra版本支持，当设置为true时，如果输入内容触发联网检索插件，会先返回检索信源列表，然后再返回星火回复结果，否则仅返回星火回复结果
-      en_US: The parameter is only supported in the 4.0 Ultra version. When set to true, if the input triggers the online search plugin, it will first return a list of search sources and then return the Spark response. Otherwise, it will only return the Spark response.
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml
deleted file mode 100644
index 4b5529e81c..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-model: spark-4
-deprecated: true
-label:
-  en_US: Spark V4.0
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: 模型回答的tokens的最大长度。
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml
deleted file mode 100644
index 1f6141a816..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: spark-lite
-label:
-  en_US: Spark Lite
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml
deleted file mode 100644
index 1a1ab6844c..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: spark-max-32k
-label:
-  en_US: Spark Max-32K
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml
deleted file mode 100644
index 71eb2b86d3..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: spark-max
-label:
-  en_US: Spark Max
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml
deleted file mode 100644
index da1fead6da..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: spark-pro-128k
-label:
-  en_US: Spark Pro-128K
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml
deleted file mode 100644
index 9ee479f15b..0000000000
--- a/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-model: spark-pro
-label:
-  en_US: Spark Pro
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.5
-    help:
-      zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
-      en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 模型回答的tokens的最大长度。
-      en_US: Maximum length of tokens for the model response.
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    default: 4
-    min: 1
-    max: 6
-    help:
-      zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
-      en_US: Randomly select one from k candidates (non-equal probability).
-    required: false
diff --git a/api/core/model_runtime/model_providers/spark/spark.py b/api/core/model_runtime/model_providers/spark/spark.py
deleted file mode 100644
index b3695e0501..0000000000
--- a/api/core/model_runtime/model_providers/spark/spark.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class SparkProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        # ignore credentials validation because every model has their own spark quota pool
-        pass
diff --git a/api/core/model_runtime/model_providers/spark/spark.yaml b/api/core/model_runtime/model_providers/spark/spark.yaml
deleted file mode 100644
index 3b07b30f24..0000000000
--- a/api/core/model_runtime/model_providers/spark/spark.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-provider: spark
-label:
-  zh_Hans: 讯飞星火
-  en_US: iFLYTEK SPARK
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  zh_Hans: icon_l_zh.svg
-  en_US: icon_l_en.svg
-background: "#EBF8FF"
-help:
-  title:
-    en_US: Get your API key from iFLYTEK SPARK
-    zh_Hans: 从讯飞星火获取 API Keys
-  url:
-    en_US: https://www.xfyun.cn/solutions/xinghuoAPI
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: app_id
-      label:
-        en_US: APPID
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 APPID
-        en_US: Enter your APPID
-    - variable: api_secret
-      label:
-        en_US: APISecret
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 APISecret
-        en_US: Enter your APISecret
-    - variable: api_key
-      label:
-        en_US: APIKey
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 APIKey
-        en_US: Enter your APIKey
diff --git a/api/core/model_runtime/model_providers/stepfun/__init__.py b/api/core/model_runtime/model_providers/stepfun/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/stepfun/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/stepfun/_assets/icon_l_en.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/model_runtime/model_providers/stepfun/llm/__init__.py b/api/core/model_runtime/model_providers/stepfun/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/_position.yaml b/api/core/model_runtime/model_providers/stepfun/llm/_position.yaml
deleted file mode 100644
index 2bb0c703f4..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/_position.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-- step-1-8k
-- step-1-32k
-- step-1-128k
-- step-1-256k
-- step-1-flash
-- step-2-16k
-- step-1v-8k
-- step-1v-32k
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/llm.py b/api/core/model_runtime/model_providers/stepfun/llm/llm.py
deleted file mode 100644
index b14d5ec2ec..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/llm.py
+++ /dev/null
@@ -1,328 +0,0 @@
-import json
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-import requests
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class StepfunLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        self._add_function_call(model, credentials)
-        user = user[:32] if user else None
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model, zh_Hans=model),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "tool_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 1024)),
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
-
-    def _add_custom_parameters(self, credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = "https://api.stepfun.com/v1"
-
-    def _add_function_call(self, model: str, credentials: dict) -> None:
-        model_schema = self.get_model_schema(model, credentials)
-        if model_schema and {ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL}.intersection(
-            model_schema.features or []
-        ):
-            credentials["function_calling_type"] = "tool_call"
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI API format
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(PromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {
-                                "url": message_content.data,
-                            },
-                        }
-                        sub_messages.append(sub_message_dict)
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                message_dict["tool_calls"] = []
-                for function_call in message.tool_calls:
-                    message_dict["tool_calls"].append(
-                        {
-                            "id": function_call.id,
-                            "type": function_call.type,
-                            "function": {
-                                "name": function_call.function.name,
-                                "arguments": function_call.function.arguments,
-                            },
-                        }
-                    )
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call["function"]["name"]
-                    if response_tool_call.get("function", {}).get("name")
-                    else "",
-                    arguments=response_tool_call["function"]["arguments"]
-                    if response_tool_call.get("function", {}).get("arguments")
-                    else "",
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call["id"] if response_tool_call.get("id") else "",
-                    type=response_tool_call["type"] if response_tool_call.get("type") else "",
-                    function=function,
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: model credentials
-        :param response: streamed response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        chunk_index = 0
-
-        def create_final_llm_result_chunk(
-            index: int, message: AssistantPromptMessage, finish_reason: str
-        ) -> LLMResultChunk:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
-            completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
-
-            # transform usage
-            usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-            return LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
-            )
-
-        tools_calls: list[AssistantPromptMessage.ToolCall] = []
-        finish_reason = "Unknown"
-
-        def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
-            def get_tool_call(tool_name: str):
-                if not tool_name:
-                    return tools_calls[-1]
-
-                tool_call = next((tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None)
-                if tool_call is None:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id="",
-                        type="",
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""),
-                    )
-                    tools_calls.append(tool_call)
-
-                return tool_call
-
-            for new_tool_call in new_tool_calls:
-                # get tool call
-                tool_call = get_tool_call(new_tool_call.function.name)
-                # update tool call
-                if new_tool_call.id:
-                    tool_call.id = new_tool_call.id
-                if new_tool_call.type:
-                    tool_call.type = new_tool_call.type
-                if new_tool_call.function.name:
-                    tool_call.function.name = new_tool_call.function.name
-                if new_tool_call.function.arguments:
-                    tool_call.function.arguments += new_tool_call.function.arguments
-
-        for chunk in response.iter_lines(decode_unicode=True, delimiter="\n\n"):
-            if chunk:
-                # ignore sse comments
-                if chunk.startswith(":"):
-                    continue
-                decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
-                chunk_json = None
-                try:
-                    chunk_json = json.loads(decoded_chunk)
-                # stream ended
-                except json.JSONDecodeError as e:
-                    yield create_final_llm_result_chunk(
-                        index=chunk_index + 1,
-                        message=AssistantPromptMessage(content=""),
-                        finish_reason="Non-JSON encountered.",
-                    )
-                    break
-                if not chunk_json or len(chunk_json["choices"]) == 0:
-                    continue
-
-                choice = chunk_json["choices"][0]
-                finish_reason = chunk_json["choices"][0].get("finish_reason")
-                chunk_index += 1
-
-                if "delta" in choice:
-                    delta = choice["delta"]
-                    delta_content = delta.get("content")
-
-                    assistant_message_tool_calls = delta.get("tool_calls", None)
-                    # assistant_message_function_call = delta.delta.function_call
-
-                    # extract tool calls from response
-                    if assistant_message_tool_calls:
-                        tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-                        increase_tool_call(tool_calls)
-
-                    if delta_content is None or delta_content == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=delta_content, tool_calls=tool_calls if assistant_message_tool_calls else []
-                    )
-
-                    full_assistant_content += delta_content
-                elif "text" in choice:
-                    choice_text = choice.get("text", "")
-                    if choice_text == "":
-                        continue
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message = AssistantPromptMessage(content=choice_text)
-                    full_assistant_content += choice_text
-                else:
-                    continue
-
-                # check payload indicator for completion
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=chunk_index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-            chunk_index += 1
-
-        if tools_calls:
-            yield LLMResultChunk(
-                model=model,
-                prompt_messages=prompt_messages,
-                delta=LLMResultChunkDelta(
-                    index=chunk_index,
-                    message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
-                ),
-            )
-
-        yield create_final_llm_result_chunk(
-            index=chunk_index, message=AssistantPromptMessage(content=""), finish_reason=finish_reason
-        )
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml
deleted file mode 100644
index 13f7b7fd26..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: step-1-128k
-label:
-  zh_Hans: step-1-128k
-  en_US: step-1-128k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 128000
-pricing:
-  input: '0.04'
-  output: '0.20'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml
deleted file mode 100644
index f80ec9851c..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: step-1-256k
-label:
-  zh_Hans: step-1-256k
-  en_US: step-1-256k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 256000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 256000
-pricing:
-  input: '0.095'
-  output: '0.300'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml
deleted file mode 100644
index 96132d14a8..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: step-1-32k
-label:
-  zh_Hans: step-1-32k
-  en_US: step-1-32k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-pricing:
-  input: '0.015'
-  output: '0.070'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml
deleted file mode 100644
index 4a4ba8d178..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: step-1-8k
-label:
-  zh_Hans: step-1-8k
-  en_US: step-1-8k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8000
-pricing:
-  input: '0.005'
-  output: '0.020'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml
deleted file mode 100644
index afb880f2a4..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: step-1-flash
-label:
-  zh_Hans: step-1-flash
-  en_US: step-1-flash
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8000
-pricing:
-  input: '0.001'
-  output: '0.004'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml
deleted file mode 100644
index 08d6ad245d..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: step-1v-32k
-label:
-  zh_Hans: step-1v-32k
-  en_US: step-1v-32k
-model_type: llm
-features:
-  - vision
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 32000
-pricing:
-  input: '0.015'
-  output: '0.070'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml
deleted file mode 100644
index 843d14d9c6..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: step-1v-8k
-label:
-  zh_Hans: step-1v-8k
-  en_US: step-1v-8k
-model_type: llm
-features:
-  - vision
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 8192
-pricing:
-  input: '0.005'
-  output: '0.020'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml
deleted file mode 100644
index 6f2dabbfb0..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-model: step-2-16k
-label:
-  zh_Hans: step-2-16k
-  en_US: step-2-16k
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 16000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 16000
-pricing:
-  input: '0.038'
-  output: '0.120'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/stepfun/stepfun.py b/api/core/model_runtime/model_providers/stepfun/stepfun.py
deleted file mode 100644
index e1c41a9153..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/stepfun.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class StepfunProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="step-1-8k", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/stepfun/stepfun.yaml b/api/core/model_runtime/model_providers/stepfun/stepfun.yaml
deleted file mode 100644
index ccc8455adc..0000000000
--- a/api/core/model_runtime/model_providers/stepfun/stepfun.yaml
+++ /dev/null
@@ -1,81 +0,0 @@
-provider: stepfun
-label:
-  zh_Hans: 阶跃星辰
-  en_US: Stepfun
-description:
-  en_US: Models provided by stepfun, such as step-1-8k, step-1-32k、step-1v-8k、step-1v-32k, step-1-128k and step-1-256k
-  zh_Hans: 阶跃星辰提供的模型，例如 step-1-8k、step-1-32k、step-1v-8k、step-1v-32k、step-1-128k 和 step-1-256k。
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-background: "#FFFFFF"
-help:
-  title:
-    en_US: Get your API Key from stepfun
-    zh_Hans: 从 stepfun 获取 API Key
-  url:
-    en_US: https://platform.stepfun.com/interface-key
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '8192'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '8192'
-      type: text-input
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not supported
-            zh_Hans: 不支持
-        - value: tool_call
-          label:
-            en_US: Tool Call
-            zh_Hans: Tool Call
diff --git a/api/core/model_runtime/model_providers/tencent/__init__.py b/api/core/model_runtime/model_providers/tencent/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg
deleted file mode 100644
index 63c7c8f988..0000000000
--- a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,13 +0,0 @@
-<svg viewBox="0 83.15545000000002 402.45098039215685 76.44" data-name="图层 1" id="图层_1"
-  xmlns="http://www.w3.org/2000/svg" style="max-height: 500px" width="402.45098039215685"
-  height="76.44">
-  <defs>
-    <style>.cls-1{fill:#4999d4}</style>
-  </defs>
-  <title>tencent-cloud</title>
-  <path
-    d="M27.569 113.353a17.56 17.56 0 0 1 33.148-3.743.158.158 0 0 0 .194.105 21.267 21.267 0 0 1 7.008-.729c.235.018.327-.116.25-.33a24.828 24.828 0 0 0-47.933 4.444.082.082 0 0 0 .016 0 18.537 18.537 0 0 0-9.85 31.533 18.007 18.007 0 0 0 10.325 5h-.001a43.066 43.066 0 0 0 5.266.282c1.68.011 33.725.008 35.067.008 2.7 0 4.457-.002 6.345-.14a18.245 18.245 0 0 0 11.723-5.15 18.532 18.532 0 0 0-12.901-31.789 18.06 18.06 0 0 0-11.704 4.285c-1.467 1.196-3.006 2.626-4.944 4.508-.642.625-13.336 12.94-21.67 21.028-1.16-.005-2.828-.021-4.306-.07a11.704 11.704 0 0 1-8.125-3.148A11.275 11.275 0 0 1 23.33 120.1a11.706 11.706 0 0 1 7.646 3.062c1.44 1.192 4.633 4 6.035 5.263a.17.17 0 0 0 .24.002l4.945-4.825a.176.176 0 0 0-.004-.27c-2.378-2.15-5.749-5.158-7.778-6.669a18.874 18.874 0 0 0-6.844-3.31zm46.482 26.094a11.704 11.704 0 0 1-8.125 3.147 168.92 168.92 0 0 1-5.204.073h-22.38c8.142-7.91 15.245-14.808 16.051-15.59.738-.717 2.398-2.306 3.83-3.595 3.145-2.831 5.974-3.4 7.976-3.382a11.275 11.275 0 0 1 7.852 19.347z"
-    class="cls-1" />
-  <path
-    d="M302.794 129.138a.24.24 0 0 0-.419-.163 16.062 16.062 0 0 1-11.961 5.469c-7.7 0-12.674-5.32-12.674-13.552 0-8.388 4.74-13.599 12.37-13.599a17.274 17.274 0 0 1 11.828 4.996.24.24 0 0 0 .414-.168v-4.245a18.595 18.595 0 0 0-12.243-4.502 15.358 15.358 0 0 0-11.733 4.845c-2.857 3.138-4.366 7.52-4.366 12.674 0 10.478 6.592 17.518 16.404 17.518a18.517 18.517 0 0 0 12.38-4.624zM93.47 104.248v3.638h11.506v29.657h3.982v-29.657h11.506v-3.638H93.47zM390.972 115.625c-2.059-2.232-5.501-3.043-7.978-3.043a11.24 11.24 0 0 0-8.363 3.475 13.26 13.26 0 0 0-3.277 9.243c0 8.883 5.894 12.86 11.735 12.86 3.412 0 6.228-1.22 7.883-3.38v2.812h3.971V104.3h-3.97zm-.105 9.769c0 4.545-2.639 9.147-7.683 9.147-3.788 0-7.865-2.803-7.865-8.958 0-4.522 2.388-9.389 7.63-9.389 5.844 0 7.918 4.956 7.918 9.2zM308.064 104.3h4.031v33.292h-4.031zM192.033 131.427a.24.24 0 0 0-.403-.18 13.772 13.772 0 0 1-8.006 3.255c-5.344 0-8.796-3.583-8.796-9.128 0-5.546 3.452-9.129 8.796-9.129a12.973 12.973 0 0 1 8.01 2.8.24.24 0 0 0 .399-.183v-3.668a17.567 17.567 0 0 0-8.621-2.615c-7.38 0-12.34 5.142-12.34 12.795 0 7.652 4.96 12.794 12.34 12.794a14.903 14.903 0 0 0 8.62-2.624zM139.984 130.642a.241.241 0 0 0-.436-.143 12.896 12.896 0 0 1-8.605 4.214 8.725 8.725 0 0 1-6.104-2.141 8.634 8.634 0 0 1-2.372-6.07h18.629v-.285c0-5.254-.896-8.233-3.194-10.625a10.42 10.42 0 0 0-7.849-3.01c-6.969 0-11.472 4.987-11.471 12.715.254 8.04 4.822 12.84 12.218 12.84a13.447 13.447 0 0 0 9.184-3.52zm-2.653-7.564h-14.872l.006-.075a7.37 7.37 0 0 1 7.481-6.93c4.341 0 7.17 2.657 7.38 6.933zM362.877 125.584c0 6.632-3.825 8.985-7.1 8.985a6.287 6.287 0 0 1-6.549-6.263V113.15h-3.79v15.088c0 5.842 4.172 9.922 10.145 9.922 3.308 0 5.89-1.114 7.53-3.235v2.66h3.614V113.15h-3.85zM156.747 112.583a9.79 9.79 0 0 0-7.364 2.887v-2.334h-3.762v24.456h3.846v-13.935a7.592 7.592 0 0 1 1.982-5.51 6.75 6.75 0 0 1 5.197-1.91 5.994 5.994 0 0 1 6.055 6.339v15.016h3.847v-15.197a9.756 9.756 0 0 0-2.767-7.26 9.907 9.907 0 0 0-7.034-2.552zM217.156 130.642a.241.241 0 0 0-.436-.143 12.896 12.896 0 0 1-8.605 4.214 8.725 8.725 0 0 1-6.104-2.141 8.634 8.634 0 0 1-2.372-6.07h18.629v-.285c0-5.254-.895-8.233-3.193-10.625a10.42 10.42 0 0 0-7.85-3.01c-6.968 0-11.471 4.987-11.471 12.715.254 8.04 4.822 12.84 12.218 12.84a13.447 13.447 0 0 0 9.184-3.52zm-2.653-7.564h-14.871l.005-.075a7.37 7.37 0 0 1 7.481-6.93c4.342 0 7.17 2.657 7.381 6.933zM233.857 112.583a9.79 9.79 0 0 0-7.365 2.887v-2.334h-3.762v24.456h3.847v-13.935a7.592 7.592 0 0 1 1.982-5.51 6.75 6.75 0 0 1 5.196-1.91 5.994 5.994 0 0 1 6.056 6.339v15.016h3.846v-15.197a9.756 9.756 0 0 0-2.767-7.26 9.907 9.907 0 0 0-7.033-2.552zM256.236 137.917a19.963 19.963 0 0 0 5.009-1.138v-3.683a.241.241 0 0 0-.321-.229A29.455 29.455 0 0 1 256.8 134c-.402.064-.756.12-1.02-.104a.897.897 0 0 1-.263-.777V116.69h7.04v-3.559h-7.04v-6.516h-3.997v6.516h-4.012v3.558h4.012v16.815a4.207 4.207 0 0 0 1.309 3.327 5.088 5.088 0 0 0 3.406 1.085zM329.224 112.63c-7.093 0-11.859 5.13-11.859 12.764s4.766 12.764 11.859 12.764 11.858-5.13 11.858-12.764-4.765-12.764-11.858-12.764zm-8.18 12.739l-.001-.01c.014-5.41 3.299-9.043 8.18-9.043 4.893 0 8.18 3.648 8.182 9.078-.002 5.429-3.29 9.078-8.181 9.078-4.89 0-8.175-3.678-8.18-9.103z" />
-</svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg
deleted file mode 100644
index 63c7c8f988..0000000000
--- a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg
+++ /dev/null
@@ -1,13 +0,0 @@
-<svg viewBox="0 83.15545000000002 402.45098039215685 76.44" data-name="图层 1" id="图层_1"
-  xmlns="http://www.w3.org/2000/svg" style="max-height: 500px" width="402.45098039215685"
-  height="76.44">
-  <defs>
-    <style>.cls-1{fill:#4999d4}</style>
-  </defs>
-  <title>tencent-cloud</title>
-  <path
-    d="M27.569 113.353a17.56 17.56 0 0 1 33.148-3.743.158.158 0 0 0 .194.105 21.267 21.267 0 0 1 7.008-.729c.235.018.327-.116.25-.33a24.828 24.828 0 0 0-47.933 4.444.082.082 0 0 0 .016 0 18.537 18.537 0 0 0-9.85 31.533 18.007 18.007 0 0 0 10.325 5h-.001a43.066 43.066 0 0 0 5.266.282c1.68.011 33.725.008 35.067.008 2.7 0 4.457-.002 6.345-.14a18.245 18.245 0 0 0 11.723-5.15 18.532 18.532 0 0 0-12.901-31.789 18.06 18.06 0 0 0-11.704 4.285c-1.467 1.196-3.006 2.626-4.944 4.508-.642.625-13.336 12.94-21.67 21.028-1.16-.005-2.828-.021-4.306-.07a11.704 11.704 0 0 1-8.125-3.148A11.275 11.275 0 0 1 23.33 120.1a11.706 11.706 0 0 1 7.646 3.062c1.44 1.192 4.633 4 6.035 5.263a.17.17 0 0 0 .24.002l4.945-4.825a.176.176 0 0 0-.004-.27c-2.378-2.15-5.749-5.158-7.778-6.669a18.874 18.874 0 0 0-6.844-3.31zm46.482 26.094a11.704 11.704 0 0 1-8.125 3.147 168.92 168.92 0 0 1-5.204.073h-22.38c8.142-7.91 15.245-14.808 16.051-15.59.738-.717 2.398-2.306 3.83-3.595 3.145-2.831 5.974-3.4 7.976-3.382a11.275 11.275 0 0 1 7.852 19.347z"
-    class="cls-1" />
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diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg
deleted file mode 100644
index a3299b9201..0000000000
--- a/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<svg viewBox="0 83.15545000000002 85 76.44" data-name="图层 1" id="图层_1"
-  xmlns="http://www.w3.org/2000/svg" style="max-height: 500px" width="85"
-  height="76.44">
-  <defs>
-    <style>.cls-1{fill:#4999d4}</style>
-  </defs>
-  <title>tencent-cloud</title>
-  <path
-    d="M27.569 113.353a17.56 17.56 0 0 1 33.148-3.743.158.158 0 0 0 .194.105 21.267 21.267 0 0 1 7.008-.729c.235.018.327-.116.25-.33a24.828 24.828 0 0 0-47.933 4.444.082.082 0 0 0 .016 0 18.537 18.537 0 0 0-9.85 31.533 18.007 18.007 0 0 0 10.325 5h-.001a43.066 43.066 0 0 0 5.266.282c1.68.011 33.725.008 35.067.008 2.7 0 4.457-.002 6.345-.14a18.245 18.245 0 0 0 11.723-5.15 18.532 18.532 0 0 0-12.901-31.789 18.06 18.06 0 0 0-11.704 4.285c-1.467 1.196-3.006 2.626-4.944 4.508-.642.625-13.336 12.94-21.67 21.028-1.16-.005-2.828-.021-4.306-.07a11.704 11.704 0 0 1-8.125-3.148A11.275 11.275 0 0 1 23.33 120.1a11.706 11.706 0 0 1 7.646 3.062c1.44 1.192 4.633 4 6.035 5.263a.17.17 0 0 0 .24.002l4.945-4.825a.176.176 0 0 0-.004-.27c-2.378-2.15-5.749-5.158-7.778-6.669a18.874 18.874 0 0 0-6.844-3.31zm46.482 26.094a11.704 11.704 0 0 1-8.125 3.147 168.92 168.92 0 0 1-5.204.073h-22.38c8.142-7.91 15.245-14.808 16.051-15.59.738-.717 2.398-2.306 3.83-3.595 3.145-2.831 5.974-3.4 7.976-3.382a11.275 11.275 0 0 1 7.852 19.347z"
-    class="cls-1" />
-</svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/__init__.py b/api/core/model_runtime/model_providers/tencent/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py b/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py
deleted file mode 100644
index c3c21793e8..0000000000
--- a/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py
+++ /dev/null
@@ -1,164 +0,0 @@
-import base64
-import hashlib
-import hmac
-import operator
-import time
-
-import requests
-
-
-class Credential:
-    def __init__(self, secret_id, secret_key):
-        self.secret_id = secret_id
-        self.secret_key = secret_key
-
-
-class FlashRecognitionRequest:
-    def __init__(self, voice_format="mp3", engine_type="16k_zh"):
-        self.engine_type = engine_type
-        self.speaker_diarization = 0
-        self.hotword_id = ""
-        self.customization_id = ""
-        self.filter_dirty = 0
-        self.filter_modal = 0
-        self.filter_punc = 0
-        self.convert_num_mode = 1
-        self.word_info = 0
-        self.voice_format = voice_format
-        self.first_channel_only = 1
-        self.reinforce_hotword = 0
-        self.sentence_max_length = 0
-
-    def set_first_channel_only(self, first_channel_only):
-        self.first_channel_only = first_channel_only
-
-    def set_speaker_diarization(self, speaker_diarization):
-        self.speaker_diarization = speaker_diarization
-
-    def set_filter_dirty(self, filter_dirty):
-        self.filter_dirty = filter_dirty
-
-    def set_filter_modal(self, filter_modal):
-        self.filter_modal = filter_modal
-
-    def set_filter_punc(self, filter_punc):
-        self.filter_punc = filter_punc
-
-    def set_convert_num_mode(self, convert_num_mode):
-        self.convert_num_mode = convert_num_mode
-
-    def set_word_info(self, word_info):
-        self.word_info = word_info
-
-    def set_hotword_id(self, hotword_id):
-        self.hotword_id = hotword_id
-
-    def set_customization_id(self, customization_id):
-        self.customization_id = customization_id
-
-    def set_voice_format(self, voice_format):
-        self.voice_format = voice_format
-
-    def set_sentence_max_length(self, sentence_max_length):
-        self.sentence_max_length = sentence_max_length
-
-    def set_reinforce_hotword(self, reinforce_hotword):
-        self.reinforce_hotword = reinforce_hotword
-
-
-class FlashRecognizer:
-    """
-    response:
-    request_id        string
-    status            Integer
-    message           String
-    audio_duration    Integer
-    flash_result      Result Array
-
-    Result:
-    text              String
-    channel_id        Integer
-    sentence_list     Sentence Array
-
-    Sentence:
-    text              String
-    start_time        Integer
-    end_time          Integer
-    speaker_id        Integer
-    word_list         Word Array
-
-    Word:
-    word              String
-    start_time        Integer
-    end_time          Integer
-    stable_flag：     Integer
-    """
-
-    def __init__(self, appid, credential):
-        self.credential = credential
-        self.appid = appid
-
-    def _format_sign_string(self, param):
-        signstr = "POSTasr.cloud.tencent.com/asr/flash/v1/"
-        for t in param:
-            if "appid" in t:
-                signstr += str(t[1])
-                break
-        signstr += "?"
-        for x in param:
-            tmp = x
-            if "appid" in x:
-                continue
-            for t in tmp:
-                signstr += str(t)
-                signstr += "="
-            signstr = signstr[:-1]
-            signstr += "&"
-        signstr = signstr[:-1]
-        return signstr
-
-    def _build_header(self):
-        header = {"Host": "asr.cloud.tencent.com"}
-        return header
-
-    def _sign(self, signstr, secret_key):
-        hmacstr = hmac.new(secret_key.encode("utf-8"), signstr.encode("utf-8"), hashlib.sha1).digest()
-        s = base64.b64encode(hmacstr)
-        s = s.decode("utf-8")
-        return s
-
-    def _build_req_with_signature(self, secret_key, params, header):
-        query = sorted(params.items(), key=operator.itemgetter(0))
-        signstr = self._format_sign_string(query)
-        signature = self._sign(signstr, secret_key)
-        header["Authorization"] = signature
-        req_url = "https://"
-        req_url += signstr[4::]
-        return req_url
-
-    def _create_query_arr(self, req):
-        return {
-            "appid": self.appid,
-            "secretid": self.credential.secret_id,
-            "timestamp": str(int(time.time())),
-            "engine_type": req.engine_type,
-            "voice_format": req.voice_format,
-            "speaker_diarization": req.speaker_diarization,
-            "hotword_id": req.hotword_id,
-            "customization_id": req.customization_id,
-            "filter_dirty": req.filter_dirty,
-            "filter_modal": req.filter_modal,
-            "filter_punc": req.filter_punc,
-            "convert_num_mode": req.convert_num_mode,
-            "word_info": req.word_info,
-            "first_channel_only": req.first_channel_only,
-            "reinforce_hotword": req.reinforce_hotword,
-            "sentence_max_length": req.sentence_max_length,
-        }
-
-    def recognize(self, req, data):
-        header = self._build_header()
-        query_arr = self._create_query_arr(req)
-        req_url = self._build_req_with_signature(self.credential.secret_key, query_arr, header)
-        r = requests.post(req_url, headers=header, data=data)
-        return r.text
diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py b/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py
deleted file mode 100644
index 5b427663ca..0000000000
--- a/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import json
-from typing import IO, Optional
-
-import requests
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeConnectionError,
-    InvokeError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.tencent.speech2text.flash_recognizer import (
-    Credential,
-    FlashRecognitionRequest,
-    FlashRecognizer,
-)
-
-
-class TencentSpeech2TextModel(Speech2TextModel):
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        return self._speech2text_invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self._speech2text_invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _speech2text_invoke(self, model: str, credentials: dict, file: IO[bytes]) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :return: text for given audio file
-        """
-        app_id = credentials["app_id"]
-        secret_id = credentials["secret_id"]
-        secret_key = credentials["secret_key"]
-        voice_format = file.voice_format if hasattr(file, "voice_format") else "mp3"
-        tencent_voice_recognizer = FlashRecognizer(app_id, Credential(secret_id, secret_key))
-        resp = tencent_voice_recognizer.recognize(FlashRecognitionRequest(voice_format), file)
-        resp = json.loads(resp)
-        code = resp["code"]
-        message = resp["message"]
-        if code == 4002:
-            raise CredentialsValidateFailedError(str(message))
-        elif code != 0:
-            return f"Tencent ASR Recognition failed with code {code} and message {message}"
-        return "\n".join(item["text"] for item in resp["flash_result"])
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [requests.exceptions.ConnectionError],
-            InvokeAuthorizationError: [CredentialsValidateFailedError],
-        }
diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml b/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml
deleted file mode 100644
index 618d19ac7c..0000000000
--- a/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml
+++ /dev/null
@@ -1,5 +0,0 @@
-model: tencent
-model_type: speech2text
-model_properties:
-  file_upload_limit: 25
-  supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm
diff --git a/api/core/model_runtime/model_providers/tencent/tencent.py b/api/core/model_runtime/model_providers/tencent/tencent.py
deleted file mode 100644
index 79c6f577b8..0000000000
--- a/api/core/model_runtime/model_providers/tencent/tencent.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class TencentProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.SPEECH2TEXT)
-            model_instance.validate_credentials(model="tencent", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/tencent/tencent.yaml b/api/core/model_runtime/model_providers/tencent/tencent.yaml
deleted file mode 100644
index 7d8d5a1866..0000000000
--- a/api/core/model_runtime/model_providers/tencent/tencent.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-provider: tencent
-label:
-  zh_Hans: 腾讯云
-  en_US: Tencent
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  zh_Hans: icon_l_zh.svg
-  en_US: icon_l_en.svg
-background: "#E5E7EB"
-help:
-  title:
-    en_US: Get your API key from Tencent AI
-    zh_Hans: 从腾讯云获取 API Key
-  url:
-    en_US: https://cloud.tencent.com/product/asr
-supported_model_types:
-  - speech2text
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: app_id
-      label:
-        zh_Hans: APPID
-        en_US: APPID
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的腾讯语音识别服务的 APPID
-        en_US: Enter the APPID of your Tencent Cloud ASR service
-    - variable: secret_id
-      label:
-        zh_Hans: SecretId
-        en_US: SecretId
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的腾讯语音识别服务的 SecretId
-        en_US: Enter the SecretId of your Tencent Cloud ASR service
-    - variable: secret_key
-      label:
-        zh_Hans: SecretKey
-        en_US: SecretKey
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的腾讯语音识别服务的 SecretKey
-        en_US: Enter the SecretKey of your Tencent Cloud ASR service
diff --git a/api/core/model_runtime/model_providers/togetherai/__init__.py b/api/core/model_runtime/model_providers/togetherai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg b/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg
deleted file mode 100644
index e9d918b15e..0000000000
--- a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg
+++ /dev/null
@@ -1,13 +0,0 @@
-<svg width="114" height="24" viewBox="0 0 114 24" fill="none" xmlns="http://www.w3.org/2000/svg">
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diff --git a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg b/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg
deleted file mode 100644
index 16bae5235f..0000000000
--- a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg
+++ /dev/null
@@ -1,19 +0,0 @@
-<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g clip-path="url(#clip0_15960_46917)">
-<mask id="mask0_15960_46917" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="0" width="16" height="16">
-<path d="M16 0H0V16H16V0Z" fill="white"/>
-</mask>
-<g mask="url(#mask0_15960_46917)">
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diff --git a/api/core/model_runtime/model_providers/togetherai/llm/__init__.py b/api/core/model_runtime/model_providers/togetherai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/togetherai/llm/llm.py b/api/core/model_runtime/model_providers/togetherai/llm/llm.py
deleted file mode 100644
index 03eac19423..0000000000
--- a/api/core/model_runtime/model_providers/togetherai/llm/llm.py
+++ /dev/null
@@ -1,171 +0,0 @@
-from collections.abc import Generator
-from decimal import Decimal
-from typing import Optional, Union
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-    PriceConfig,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class TogetherAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _update_endpoint_url(self, credentials: dict):
-        credentials["endpoint_url"] = "https://api.together.xyz/v1"
-        return credentials
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super()._invoke(model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super().validate_credentials(model, cred_with_endpoint)
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super()._generate(
-            model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user
-        )
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-        REPETITION_PENALTY = "repetition_penalty"
-        TOP_K = "top_k"
-        features: list[ModelFeature] = []
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            features=features,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(cred_with_endpoint.get("context_size", "4096")),
-                ModelPropertyKey.MODE: cred_with_endpoint.get("mode"),
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name=DefaultParameterName.TEMPERATURE.value,
-                    label=I18nObject(en_US="Temperature"),
-                    type=ParameterType.FLOAT,
-                    default=float(cred_with_endpoint.get("temperature", 0.7)),
-                    min=0,
-                    max=2,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.TOP_P.value,
-                    label=I18nObject(en_US="Top P"),
-                    type=ParameterType.FLOAT,
-                    default=float(cred_with_endpoint.get("top_p", 1)),
-                    min=0,
-                    max=1,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=TOP_K,
-                    label=I18nObject(en_US="Top K"),
-                    type=ParameterType.INT,
-                    default=int(cred_with_endpoint.get("top_k", 50)),
-                    min=-2147483647,
-                    max=2147483647,
-                    precision=0,
-                ),
-                ParameterRule(
-                    name=REPETITION_PENALTY,
-                    label=I18nObject(en_US="Repetition Penalty"),
-                    type=ParameterType.FLOAT,
-                    default=float(cred_with_endpoint.get("repetition_penalty", 1)),
-                    min=-3.4,
-                    max=3.4,
-                    precision=1,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.MAX_TOKENS.value,
-                    label=I18nObject(en_US="Max Tokens"),
-                    type=ParameterType.INT,
-                    default=512,
-                    min=1,
-                    max=int(cred_with_endpoint.get("max_tokens_to_sample", 4096)),
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.FREQUENCY_PENALTY.value,
-                    label=I18nObject(en_US="Frequency Penalty"),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("frequency_penalty", 0)),
-                    min=-2,
-                    max=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.PRESENCE_PENALTY.value,
-                    label=I18nObject(en_US="Presence Penalty"),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("presence_penalty", 0)),
-                    min=-2,
-                    max=2,
-                ),
-            ],
-            pricing=PriceConfig(
-                input=Decimal(cred_with_endpoint.get("input_price", 0)),
-                output=Decimal(cred_with_endpoint.get("output_price", 0)),
-                unit=Decimal(cred_with_endpoint.get("unit", 0)),
-                currency=cred_with_endpoint.get("currency", "USD"),
-            ),
-        )
-
-        if cred_with_endpoint["mode"] == "chat":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value
-        elif cred_with_endpoint["mode"] == "completion":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value
-        else:
-            raise ValueError(f"Unknown completion type {cred_with_endpoint['completion_type']}")
-
-        return entity
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        cred_with_endpoint = self._update_endpoint_url(credentials=credentials)
-
-        return super().get_num_tokens(model, cred_with_endpoint, prompt_messages, tools)
diff --git a/api/core/model_runtime/model_providers/togetherai/togetherai.py b/api/core/model_runtime/model_providers/togetherai/togetherai.py
deleted file mode 100644
index aa4100a7c9..0000000000
--- a/api/core/model_runtime/model_providers/togetherai/togetherai.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class TogetherAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/togetherai/togetherai.yaml b/api/core/model_runtime/model_providers/togetherai/togetherai.yaml
deleted file mode 100644
index e69471b15d..0000000000
--- a/api/core/model_runtime/model_providers/togetherai/togetherai.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-provider: togetherai
-label:
-  en_US: together.ai
-icon_small:
-  en_US: togetherai_square.svg
-icon_large:
-  en_US: togetherai.svg
-background: "#F1EFED"
-help:
-  title:
-    en_US: Get your API key from together.ai
-    zh_Hans: 从 together.ai 获取 API Key
-  url:
-    en_US: https://api.together.xyz/
-supported_model_types:
-  - llm
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter full model name
-      zh_Hans: 输入模型全称
-  credential_form_schemas:
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens_to_sample
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: '4096'
-      type: text-input
diff --git a/api/core/model_runtime/model_providers/tongyi/__init__.py b/api/core/model_runtime/model_providers/tongyi/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tongyi/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/tongyi/_assets/icon_l_en.png
deleted file mode 100644
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deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/tongyi/_common.py b/api/core/model_runtime/model_providers/tongyi/_common.py
deleted file mode 100644
index bb68319555..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/_common.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from dashscope.common.error import (  # type: ignore
-    AuthenticationError,
-    InvalidParameter,
-    RequestFailure,
-    ServiceUnavailableError,
-    UnsupportedHTTPMethod,
-    UnsupportedModel,
-)
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonTongyi:
-    @staticmethod
-    def _to_credential_kwargs(credentials: dict) -> dict:
-        credentials_kwargs = {
-            "dashscope_api_key": credentials["dashscope_api_key"],
-        }
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                RequestFailure,
-            ],
-            InvokeServerUnavailableError: [
-                ServiceUnavailableError,
-            ],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [
-                AuthenticationError,
-            ],
-            InvokeBadRequestError: [
-                InvalidParameter,
-                UnsupportedModel,
-                UnsupportedHTTPMethod,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/__init__.py b/api/core/model_runtime/model_providers/tongyi/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
deleted file mode 100644
index 785ddeb494..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml
+++ /dev/null
@@ -1,57 +0,0 @@
-- deepseek-r1
-- deepseek-r1-distill-qwen-14b
-- deepseek-r1-distill-qwen-32b
-- deepseek-v3
-- qwen-vl-max-0809
-- qwen-vl-max-0201
-- qwen-vl-max
-- qwen-max-latest
-- qwen-max-1201
-- qwen-max-0919
-- qwen-max-0428
-- qwen-max-0403
-- qwen-max-0107
-- qwen-max
-- qwen-max-longcontext
-- qwen-plus-latest
-- qwen-plus-0919
-- qwen-plus-0806
-- qwen-plus-0723
-- qwen-plus-0624
-- qwen-plus-0206
-- qwen-plus-chat
-- qwen-plus
-- qwen-vl-plus-0809
-- qwen-vl-plus-0201
-- qwen-vl-plus
-- qwen-turbo-latest
-- qwen-turbo-0919
-- qwen-turbo-0624
-- qwen-turbo-0206
-- qwen-turbo-chat
-- qwen-turbo
-- qwen2.5-72b-instruct
-- qwen2.5-32b-instruct
-- qwen2.5-14b-instruct
-- qwen2.5-7b-instruct
-- qwen2.5-3b-instruct
-- qwen2.5-1.5b-instruct
-- qwen2.5-0.5b-instruct
-- qwen2.5-14b-instruct-1m
-- qwen2.5-7b-instruct-1m
-- qwen2.5-coder-7b-instruct
-- qwen2-math-72b-instruct
-- qwen2-math-7b-instruct
-- qwen2-math-1.5b-instruct
-- qwen-long
-- qwen-math-plus-latest
-- qwen-math-plus-0919
-- qwen-math-plus-0816
-- qwen-math-plus
-- qwen-math-turbo-latest
-- qwen-math-turbo-0919
-- qwen-math-turbo
-- qwen-coder-turbo-latest
-- qwen-coder-turbo-0919
-- qwen-coder-turbo
-- farui-plus
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml
deleted file mode 100644
index 2bce8805c6..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-r1-distill-qwen-14b
-label:
-  zh_Hans: DeepSeek-R1-Distill-Qwen-14B
-  en_US: DeepSeek-R1-Distill-Qwen-14B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.001"
-  output: "0.003"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml
deleted file mode 100644
index dfc155ff6a..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-r1-distill-qwen-32b
-label:
-  zh_Hans: DeepSeek-R1-Distill-Qwen-32B
-  en_US: DeepSeek-R1-Distill-Qwen-32B
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.002"
-  output: "0.006"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml
deleted file mode 100644
index 742e7f0001..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-model: deepseek-r1
-label:
-  zh_Hans: DeepSeek-R1
-  en_US: DeepSeek-R1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 4096
-pricing:
-  input: "0.004"
-  output: "0.016"
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml
deleted file mode 100644
index 23f38d60d3..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-model: deepseek-v3
-label:
-  zh_Hans: DeepSeek-V3
-  en_US: DeepSeek-V3
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: "0.002"
-  output: "0.008"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml
deleted file mode 100644
index 34a57d1fc0..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: farui-plus
-label:
-  en_US: farui-plus
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 12288
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.02'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
deleted file mode 100644
index bb987d4998..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ /dev/null
@@ -1,611 +0,0 @@
-import base64
-import os
-import tempfile
-import uuid
-from collections.abc import Generator
-from http import HTTPStatus
-from pathlib import Path
-from typing import Optional, Union, cast
-
-from dashscope import Generation, MultiModalConversation, get_tokenizer  # type: ignore
-from dashscope.api_entities.dashscope_response import GenerationResponse  # type: ignore
-from dashscope.common.error import (  # type: ignore
-    AuthenticationError,
-    InvalidParameter,
-    RequestFailure,
-    ServiceUnavailableError,
-    UnsupportedHTTPMethod,
-    UnsupportedModel,
-)
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-    VideoPromptMessageContent,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    I18nObject,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-
-class TongyiLargeLanguageModel(LargeLanguageModel):
-    tokenizers = {}
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke model without code wrapper
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        # Check if the model was added via get_customizable_model_schema
-        if self.get_customizable_model_schema(model, credentials) is not None:
-            # For custom models, tokens are not calculated.
-            return 0
-
-        if model in {"qwen-turbo-chat", "qwen-plus-chat"}:
-            model = model.replace("-chat", "")
-        if model == "farui-plus":
-            model = "qwen-farui-plus"
-
-        if model in self.tokenizers:
-            tokenizer = self.tokenizers[model]
-        else:
-            tokenizer = get_tokenizer(model)
-            self.tokenizers[model] = tokenizer
-
-        # convert string to token ids
-        tokens = tokenizer.encode(self._convert_messages_to_prompt(prompt_messages))
-
-        return len(tokens)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._generate(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[
-                    UserPromptMessage(content="ping"),
-                ],
-                model_parameters={
-                    "temperature": 0.5,
-                },
-                stream=False,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        mode = self.get_model_mode(model, credentials)
-
-        if model in {"qwen-turbo-chat", "qwen-plus-chat"}:
-            model = model.replace("-chat", "")
-
-        extra_model_kwargs = {}
-        if tools:
-            extra_model_kwargs["tools"] = self._convert_tools(tools)
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        params = {
-            "model": model,
-            **model_parameters,
-            **credentials_kwargs,
-            **extra_model_kwargs,
-        }
-
-        model_schema = self.get_model_schema(model, credentials)
-        if ModelFeature.VISION in (model_schema.features or []):
-            params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages, rich_content=True)
-
-            response = MultiModalConversation.call(**params, stream=stream)
-        else:
-            # nothing different between chat model and completion model in tongyi
-            params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages)
-            response = Generation.call(**params, result_format="message", stream=stream, incremental_output=stream)
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: GenerationResponse, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        if response.status_code not in {200, HTTPStatus.OK}:
-            raise ServiceUnavailableError(response.message)
-        # transform assistant message to prompt message
-        resp_content = response.output.choices[0].message.content
-        # special for qwen-vl
-        if isinstance(resp_content, list):
-            resp_content = resp_content[0]["text"]
-        assistant_prompt_message = AssistantPromptMessage(
-            content=resp_content,
-        )
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, response.usage.input_tokens, response.usage.output_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            message=assistant_prompt_message,
-            prompt_messages=prompt_messages,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        responses: Generator[GenerationResponse, None, None],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param responses: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        full_text = ""
-        tool_calls = []
-        is_reasoning_started = False
-        # for index, response in enumerate(responses):
-        index = 0
-        for index, response in enumerate(responses):
-            if response.status_code not in {200, HTTPStatus.OK}:
-                raise ServiceUnavailableError(
-                    f"Failed to invoke model {model}, status code: {response.status_code}, message: {response.message}"
-                )
-
-            resp_finish_reason = response.output.choices[0].finish_reason
-
-            if resp_finish_reason is not None and resp_finish_reason != "null":
-                resp_content = response.output.choices[0].message.content
-
-                assistant_prompt_message = AssistantPromptMessage(
-                    content="",
-                )
-
-                if "tool_calls" in response.output.choices[0].message:
-                    tool_calls = response.output.choices[0].message["tool_calls"]
-                elif resp_content:
-                    # special for qwen-vl
-                    if isinstance(resp_content, list):
-                        resp_content = resp_content[0]["text"]
-
-                    # transform assistant message to prompt message
-                    assistant_prompt_message.content = resp_content.replace(full_text, "", 1)
-
-                    full_text = resp_content
-
-                if tool_calls:
-                    message_tool_calls = []
-                    for tool_call_obj in tool_calls:
-                        message_tool_call = AssistantPromptMessage.ToolCall(
-                            id=tool_call_obj["function"]["name"],
-                            type="function",
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=tool_call_obj["function"]["name"], arguments=tool_call_obj["function"]["arguments"]
-                            ),
-                        )
-                        message_tool_calls.append(message_tool_call)
-
-                    assistant_prompt_message.tool_calls = message_tool_calls
-
-                # transform usage
-                usage = response.usage
-                usage = self._calc_response_usage(model, credentials, usage.input_tokens, usage.output_tokens)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index, message=assistant_prompt_message, finish_reason=resp_finish_reason, usage=usage
-                    ),
-                )
-            else:
-                message = response.output.choices[0].message
-
-                resp_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
-                    message, is_reasoning_started
-                )
-                if not resp_content:
-                    if "tool_calls" in response.output.choices[0].message:
-                        tool_calls = response.output.choices[0].message["tool_calls"]
-                    continue
-
-                # special for qwen-vl
-                if isinstance(resp_content, list):
-                    resp_content = resp_content[0]["text"]
-
-                # transform assistant message to prompt message
-                assistant_prompt_message = AssistantPromptMessage(
-                    content=resp_content.replace(full_text, "", 1),
-                )
-
-                full_text = resp_content
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                )
-
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["dashscope_api_key"],
-        }
-
-        return credentials_kwargs
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-
-        if isinstance(message, UserPromptMessage):
-            if isinstance(content, str):
-                message_text = f"{human_prompt} {content}"
-            else:
-                message_text = ""
-                for sub_message in content:
-                    if sub_message.type == PromptMessageContentType.TEXT:
-                        message_text = f"{human_prompt} {sub_message.data}"
-                        break
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage | ToolPromptMessage):
-            message_text = content
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Anthropic model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
-
-    def _convert_prompt_messages_to_tongyi_messages(
-        self, prompt_messages: list[PromptMessage], rich_content: bool = False
-    ) -> list[dict]:
-        """
-        Convert prompt messages to tongyi messages
-
-        :param prompt_messages: prompt messages
-        :return: tongyi messages
-        """
-        tongyi_messages = []
-        for prompt_message in prompt_messages:
-            if isinstance(prompt_message, SystemPromptMessage):
-                tongyi_messages.append(
-                    {
-                        "role": "system",
-                        "content": prompt_message.content if not rich_content else [{"text": prompt_message.content}],
-                    }
-                )
-            elif isinstance(prompt_message, UserPromptMessage):
-                if isinstance(prompt_message.content, str):
-                    tongyi_messages.append(
-                        {
-                            "role": "user",
-                            "content": prompt_message.content
-                            if not rich_content
-                            else [{"text": prompt_message.content}],
-                        }
-                    )
-                else:
-                    sub_messages = []
-                    for message_content in prompt_message.content:
-                        if message_content.type == PromptMessageContentType.TEXT:
-                            message_content = cast(TextPromptMessageContent, message_content)
-                            sub_message_dict = {"text": message_content.data}
-                            sub_messages.append(sub_message_dict)
-                        elif message_content.type == PromptMessageContentType.IMAGE:
-                            message_content = cast(ImagePromptMessageContent, message_content)
-
-                            image_url = message_content.data
-                            if message_content.data.startswith("data:"):
-                                # convert image base64 data to file in /tmp
-                                image_url = self._save_base64_image_to_file(message_content.data)
-
-                            sub_message_dict = {"image": image_url}
-                            sub_messages.append(sub_message_dict)
-                        elif message_content.type == PromptMessageContentType.VIDEO:
-                            message_content = cast(VideoPromptMessageContent, message_content)
-                            video_url = message_content.url
-                            if not video_url:
-                                raise InvokeError("not support base64, please set MULTIMODAL_SEND_FORMAT to url")
-
-                            sub_message_dict = {"video": video_url}
-                            sub_messages.append(sub_message_dict)
-
-                    # resort sub_messages to ensure text is always at last
-                    sub_messages = sorted(sub_messages, key=lambda x: "text" in x)
-
-                    tongyi_messages.append({"role": "user", "content": sub_messages})
-            elif isinstance(prompt_message, AssistantPromptMessage):
-                content = prompt_message.content
-                if not content:
-                    content = " "
-                message = {"role": "assistant", "content": content if not rich_content else [{"text": content}]}
-                if prompt_message.tool_calls:
-                    message["tool_calls"] = [tool_call.model_dump() for tool_call in prompt_message.tool_calls]
-                tongyi_messages.append(message)
-            elif isinstance(prompt_message, ToolPromptMessage):
-                tongyi_messages.append(
-                    {"role": "tool", "content": prompt_message.content, "name": prompt_message.tool_call_id}
-                )
-            else:
-                raise ValueError(f"Got unknown type {prompt_message}")
-
-        return tongyi_messages
-
-    def _save_base64_image_to_file(self, base64_image: str) -> str:
-        """
-        Save base64 image to file
-        'data:{upload_file.mime_type};base64,{encoded_string}'
-
-        :param base64_image: base64 image data
-        :return: image file path
-        """
-        # get mime type and encoded string
-        mime_type, encoded_string = base64_image.split(",")[0].split(";")[0].split(":")[1], base64_image.split(",")[1]
-
-        # save image to file
-        temp_dir = tempfile.gettempdir()
-
-        file_path = os.path.join(temp_dir, f"{uuid.uuid4()}.{mime_type.split('/')[1]}")
-
-        Path(file_path).write_bytes(base64.b64decode(encoded_string))
-
-        return f"file://{file_path}"
-
-    def _convert_tools(self, tools: list[PromptMessageTool]) -> list[dict]:
-        """
-        Convert tools
-        """
-        tool_definitions = []
-        for tool in tools:
-            properties = tool.parameters["properties"]
-            required_properties = tool.parameters["required"]
-
-            properties_definitions = {}
-            for p_key, p_val in properties.items():
-                desc = p_val["description"]
-                if "enum" in p_val:
-                    desc += f"; Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]"
-
-                properties_definitions[p_key] = {
-                    "description": desc,
-                    "type": p_val["type"],
-                }
-
-            tool_definition = {
-                "type": "function",
-                "function": {
-                    "name": tool.name,
-                    "description": tool.description,
-                    "parameters": properties_definitions,
-                    "required": required_properties,
-                },
-            }
-
-            tool_definitions.append(tool_definition)
-
-        return tool_definitions
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                RequestFailure,
-            ],
-            InvokeServerUnavailableError: [
-                ServiceUnavailableError,
-            ],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [
-                AuthenticationError,
-            ],
-            InvokeBadRequestError: [
-                InvalidParameter,
-                UnsupportedModel,
-                UnsupportedHTTPMethod,
-            ],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        Architecture for defining customizable models
-
-        :param model: model name
-        :param credentials: model credentials
-        :return: AIModelEntity or None
-        """
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model, zh_Hans=model),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "tool_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 1024)),
-                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="top_k",
-                    use_template="top_k",
-                    label=I18nObject(en_US="Top K", zh_Hans="Top K"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    use_template="frequency_penalty",
-                    label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml
deleted file mode 100644
index 64a3f33133..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-coder-turbo-0919
-label:
-  en_US: qwen-coder-turbo-0919
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml
deleted file mode 100644
index a4c93f7047..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-coder-turbo-latest
-label:
-  en_US: qwen-coder-turbo-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml
deleted file mode 100644
index ff68faed80..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-coder-turbo
-label:
-  en_US: qwen-coder-turbo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml
deleted file mode 100644
index c3dbb3616f..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-long
-label:
-  en_US: qwen-long
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 10000000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 6000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0005'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml
deleted file mode 100644
index 42fe1f6862..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-plus-0816
-label:
-  en_US: qwen-math-plus-0816
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml
deleted file mode 100644
index 9b6567b8cd..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-plus-0919
-label:
-  en_US: qwen-math-plus-0919
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml
deleted file mode 100644
index b2a2393b36..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-plus-latest
-label:
-  en_US: qwen-math-plus-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml
deleted file mode 100644
index 63f4b7ff0a..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-plus
-label:
-  en_US: qwen-math-plus
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml
deleted file mode 100644
index 4da90eec3e..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-turbo-0919
-label:
-  en_US: qwen-math-turbo-0919
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml
deleted file mode 100644
index d29f8851dd..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-turbo-latest
-label:
-  en_US: qwen-math-turbo-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml
deleted file mode 100644
index 2a8f7f725e..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-math-turbo
-label:
-  en_US: qwen-math-turbo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 3072
-    min: 1
-    max: 3072
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml
deleted file mode 100644
index 661311f178..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-0107
-label:
-  en_US: qwen-max-0107
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.04'
-  output: '0.12'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml
deleted file mode 100644
index 76b739a92b..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max-0403, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-0403
-label:
-  en_US: qwen-max-0403
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.04'
-  output: '0.12'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml
deleted file mode 100644
index 334b41257f..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max-0428, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-0428
-label:
-  en_US: qwen-max-0428
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.04'
-  output: '0.12'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml
deleted file mode 100644
index bfa70ca935..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max-0919, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-0919
-label:
-  en_US: qwen-max-0919
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.06'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml
deleted file mode 100644
index 83c5732cd6..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-1201
-label:
-  en_US: qwen-max-1201
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.04'
-  output: '0.12'
-  unit: '0.001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml
deleted file mode 100644
index 538bfb0448..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-latest
-label:
-  en_US: qwen-max-latest
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.06'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml
deleted file mode 100644
index 52bd758702..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-# this model corresponds to qwen-max, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max-longcontext
-label:
-  en_US: qwen-max-longcontext
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8000
-    min: 1
-    max: 8000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.04'
-  output: '0.12'
-  unit: '0.001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml
deleted file mode 100644
index 4af4822e86..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-max, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf)
-model: qwen-max
-label:
-  en_US: qwen-max
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.06'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml
deleted file mode 100644
index d37052f560..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-0206, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-0206
-label:
-  en_US: qwen-plus-0206
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8000
-    min: 1
-    max: 8000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml
deleted file mode 100644
index 0025db9bd1..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-0624, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-0624
-label:
-  en_US: qwen-plus-0624
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8000
-    min: 1
-    max: 8000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml
deleted file mode 100644
index 401a15b690..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-0723, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-0723
-label:
-  en_US: qwen-plus-0723
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8000
-    min: 1
-    max: 8000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml
deleted file mode 100644
index 39154708a1..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-0806, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-0806
-label:
-  en_US: qwen-plus-0806
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml
deleted file mode 100644
index 2ed2949a45..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-0919, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-0919
-label:
-  en_US: qwen-plus-0919
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: completion
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0008'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml
deleted file mode 100644
index d891796bac..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-# this model corresponds to qwen-plus, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-chat
-label:
-  en_US: qwen-plus-chat
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml
deleted file mode 100644
index 7ef5c04975..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-plus-latest, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus-latest
-label:
-  en_US: qwen-plus-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0008'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml
deleted file mode 100644
index 529a29b1b5..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-plus, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk)
-model: qwen-plus
-label:
-  en_US: qwen-plus
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0008'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml
deleted file mode 100644
index 09bc797465..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-# this model corresponds to qwen-turbo-0206, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-
-model: qwen-turbo-0206
-label:
-  en_US: qwen-turbo-0206
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml
deleted file mode 100644
index 036a96d1ae..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-turbo-0624, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-model: qwen-turbo-0624
-label:
-  en_US: qwen-turbo-0624
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml
deleted file mode 100644
index 866efa3248..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-turbo-0919, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-model: qwen-turbo-0919
-label:
-  en_US: qwen-turbo-0919
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0003'
-  output: '0.0006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml
deleted file mode 100644
index 98c78ba8ac..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-# this model corresponds to qwen-turbo, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-model: qwen-turbo-chat
-label:
-  en_US: qwen-turbo-chat
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1500
-    min: 1
-    max: 1500
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml
deleted file mode 100644
index e1193aeb7f..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-# this model corresponds to qwen-turbo-latest, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-model: qwen-turbo-latest
-label:
-  en_US: qwen-turbo-latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0006'
-  output: '0.0003'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml
deleted file mode 100644
index a0c4ba6820..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# this model corresponds to qwen-turbo, for more details
-# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub)
-model: qwen-turbo
-label:
-  en_US: qwen-turbo
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: enable_search
-    type: boolean
-    default: false
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0006'
-  output: '0.0003'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml
deleted file mode 100644
index d80168ffc3..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-max-0201
-label:
-  en_US: qwen-vl-max-0201
-model_type: llm
-features:
-  - vision
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.02'
-  unit: '0.001'
-  currency: RMB
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml
deleted file mode 100644
index 5970fec5e6..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-max-0809
-label:
-  en_US: qwen-vl-max-0809
-model_type: llm
-features:
-  - vision
-  - agent-thought
-  - video
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: max_tokens
-    required: false
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.02'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml
deleted file mode 100644
index c5c8dc5f7c..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-max
-label:
-  en_US: qwen-vl-max
-model_type: llm
-features:
-  - vision
-  - agent-thought
-  - video
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: max_tokens
-    required: false
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.02'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml
deleted file mode 100644
index 9d9d6c6d11..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-plus-0201
-label:
-  en_US: qwen-vl-plus-0201
-model_type: llm
-features:
-  - vision
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: max_tokens
-    required: false
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.02'
-  output: '0.02'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml
deleted file mode 100644
index 2fab6db648..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-plus-0809
-label:
-  en_US: qwen-vl-plus-0809
-model_type: llm
-features:
-  - vision
-  - agent-thought
-  - video
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: max_tokens
-    required: false
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.008'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml
deleted file mode 100644
index 61820ca853..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen-vl-plus
-label:
-  en_US: qwen-vl-plus
-model_type: llm
-features:
-  - vision
-  - agent-thought
-  - video
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: max_tokens
-    required: false
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.008'
-  output: '0.008'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml
deleted file mode 100644
index ea157f42de..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2-math-1.5b-instruct
-label:
-  en_US: qwen2-math-1.5b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml
deleted file mode 100644
index 37052a9233..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2-math-72b-instruct
-label:
-  en_US: qwen2-math-72b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml
deleted file mode 100644
index e182f1c27f..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2-math-7b-instruct
-label:
-  en_US: qwen2-math-7b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 2000
-    min: 1
-    max: 2000
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml
deleted file mode 100644
index 9e75ccc1f2..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-0.5b-instruct
-label:
-  en_US: qwen2.5-0.5b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.000'
-  output: '0.000'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml
deleted file mode 100644
index 67c9d31243..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-1.5b-instruct
-label:
-  en_US: qwen2.5-1.5b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.000'
-  output: '0.000'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml
deleted file mode 100644
index c3d72ec47f..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-14b-instruct-1m
-label:
-  en_US: qwen2.5-14b-instruct-1m
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 1000000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.001'
-  output: '0.003'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml
deleted file mode 100644
index 2a38be921c..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-14b-instruct
-label:
-  en_US: qwen2.5-14b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.002'
-  output: '0.006'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml
deleted file mode 100644
index e6e4fbf978..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-32b-instruct
-label:
-  en_US: qwen2.5-32b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0035'
-  output: '0.007'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml
deleted file mode 100644
index 8f250379a7..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-3b-instruct
-label:
-  en_US: qwen2.5-3b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.000'
-  output: '0.000'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml
deleted file mode 100644
index bb3cdd6141..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-72b-instruct
-label:
-  en_US: qwen2.5-72b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.004'
-  output: '0.012'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml
deleted file mode 100644
index 44968e54d2..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-7b-instruct-1m
-label:
-  en_US: qwen2.5-7b-instruct-1m
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 1000000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.0005'
-  output: '0.001'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml
deleted file mode 100644
index fdcd3d4275..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-7b-instruct
-label:
-  en_US: qwen2.5-7b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.001'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml
deleted file mode 100644
index 7ebeec3953..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models
-model: qwen2.5-coder-7b-instruct
-label:
-  en_US: qwen2.5-coder-7b-instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
-      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
-      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.1
-    max: 0.9
-    help:
-      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
-      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-  - name: top_k
-    type: int
-    min: 0
-    max: 99
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    help:
-      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
-      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
-  - name: seed
-    required: false
-    type: int
-    default: 1234
-    label:
-      zh_Hans: 随机种子
-      en_US: Random seed
-    help:
-      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
-      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
-  - name: repetition_penalty
-    required: false
-    type: float
-    default: 1.1
-    label:
-      zh_Hans: 重复惩罚
-      en_US: Repetition penalty
-    help:
-      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
-      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
-  - name: response_format
-    use_template: response_format
-pricing:
-  input: '0.001'
-  output: '0.002'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/__init__.py b/api/core/model_runtime/model_providers/tongyi/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml b/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml
deleted file mode 100644
index 439afda992..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml
+++ /dev/null
@@ -1 +0,0 @@
-- gte-rerank
diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml b/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml
deleted file mode 100644
index 44d51b9b0d..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: gte-rerank
-model_type: rerank
-model_properties:
-  context_size: 4000
diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py b/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py
deleted file mode 100644
index ed682cb0f3..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py
+++ /dev/null
@@ -1,138 +0,0 @@
-from typing import Optional
-
-import dashscope  # type: ignore
-from dashscope.common.error import (  # type: ignore
-    AuthenticationError,
-    InvalidParameter,
-    RequestFailure,
-    ServiceUnavailableError,
-    UnsupportedHTTPMethod,
-    UnsupportedModel,
-)
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class GTERerankModel(RerankModel):
-    """
-    Model class for GTE rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        # initialize client
-        dashscope.api_key = credentials["dashscope_api_key"]
-
-        response = dashscope.TextReRank.call(
-            query=query,
-            documents=docs,
-            model=model,
-            top_n=top_n,
-            return_documents=True,
-        )
-
-        rerank_documents: list[RerankDocument] = []
-        if not response.output:
-            return RerankResult(model=model, docs=rerank_documents)
-        for _, result in enumerate(response.output.results):
-            # format document
-            rerank_document = RerankDocument(
-                index=result.index,
-                score=result.relevance_score,
-                text=result["document"]["text"],
-            )
-
-            # score threshold check
-            if score_threshold is not None:
-                if result.relevance_score >= score_threshold:
-                    rerank_documents.append(rerank_document)
-            else:
-                rerank_documents.append(rerank_document)
-
-        return RerankResult(model=model, docs=rerank_documents)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self.invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            print(ex)
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                RequestFailure,
-            ],
-            InvokeServerUnavailableError: [
-                ServiceUnavailableError,
-            ],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [
-                AuthenticationError,
-            ],
-            InvokeBadRequestError: [
-                InvalidParameter,
-                UnsupportedModel,
-                UnsupportedHTTPMethod,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/__init__.py b/api/core/model_runtime/model_providers/tongyi/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml
deleted file mode 100644
index 52e35d8b50..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw
-model: text-embedding-v1
-model_type: text-embedding
-model_properties:
-  context_size: 2048
-  max_chunks: 25
-pricing:
-  input: "0.0007"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml
deleted file mode 100644
index 5bb6a8f424..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw
-model: text-embedding-v2
-model_type: text-embedding
-model_properties:
-  context_size: 2048
-  max_chunks: 25
-pricing:
-  input: "0.0007"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml
deleted file mode 100644
index d8af0e2b63..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw
-model: text-embedding-v3
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 25
-pricing:
-  input: "0.0007"
-  unit: "0.001"
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py
deleted file mode 100644
index 8c53be4130..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,177 +0,0 @@
-import time
-from typing import Optional
-
-import dashscope  # type: ignore
-import numpy as np
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import (
-    EmbeddingUsage,
-    TextEmbeddingResult,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import (
-    TextEmbeddingModel,
-)
-from core.model_runtime.model_providers.tongyi._common import _CommonTongyi
-
-
-class TongyiTextEmbeddingModel(_CommonTongyi, TextEmbeddingModel):
-    """
-    Model class for Tongyi text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-        inputs = []
-        indices = []
-        used_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-
-        for i in _iter:
-            embeddings_batch, embedding_used_tokens = self.embed_documents(
-                credentials_kwargs=credentials_kwargs,
-                model=model,
-                texts=inputs[i : i + max_chunks],
-            )
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-        return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-        total_num_tokens = 0
-        for text in texts:
-            total_num_tokens += self._get_num_tokens_by_gpt2(text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-
-            # call embedding model
-            self.embed_documents(credentials_kwargs=credentials_kwargs, model=model, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @staticmethod
-    def embed_documents(credentials_kwargs: dict, model: str, texts: list[str]) -> tuple[list[list[float]], int]:
-        """Call out to Tongyi's embedding endpoint.
-
-        Args:
-            credentials_kwargs: The credentials to use for the call.
-            model: The model to use for embedding.
-            texts: The list of texts to embed.
-
-        Returns:
-            List of embeddings, one for each text, and tokens usage.
-        """
-        embeddings = []
-        embedding_used_tokens = 0
-        for text in texts:
-            response = dashscope.TextEmbedding.call(
-                api_key=credentials_kwargs["dashscope_api_key"],
-                model=model,
-                input=text,
-                text_type="document",
-            )
-            if response.output and "embeddings" in response.output and response.output["embeddings"]:
-                data = response.output["embeddings"][0]
-                if "embedding" in data:
-                    embeddings.append(data["embedding"])
-                else:
-                    raise ValueError("Embedding data is missing in the response.")
-            else:
-                raise ValueError("Response output is missing or does not contain embeddings.")
-
-            if response.usage and "total_tokens" in response.usage:
-                embedding_used_tokens += response.usage["total_tokens"]
-            else:
-                raise ValueError("Response usage is missing or does not contain total tokens.")
-
-        return [list(map(float, e)) for e in embeddings], embedding_used_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model,
-            credentials=credentials,
-            price_type=PriceType.INPUT,
-            tokens=tokens,
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/tongyi/tongyi.py b/api/core/model_runtime/model_providers/tongyi/tongyi.py
deleted file mode 100644
index a084512de9..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/tongyi.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class TongyiProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `qwen-turbo` model for validate,
-            model_instance.validate_credentials(model="qwen-turbo", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml b/api/core/model_runtime/model_providers/tongyi/tongyi.yaml
deleted file mode 100644
index 6349c22714..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-provider: tongyi
-label:
-  zh_Hans: 通义千问
-  en_US: TONGYI
-icon_small:
-  en_US: icon_s_en.png
-icon_large:
-  zh_Hans: icon_l_zh.png
-  en_US: icon_l_en.png
-background: "#EFF1FE"
-help:
-  title:
-    en_US: Get your API key from AliCloud
-    zh_Hans: 从阿里云百炼获取 API Key
-  url:
-    en_US: https://bailian.console.aliyun.com/?apiKey=1#/api-key
-supported_model_types:
-  - llm
-  - tts
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: dashscope_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: dashscope_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '4096'
-      type: text-input
-      show_on:
-        - variable: __model_type
-          value: llm
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-        - value: function_call
-          label:
-            en_US: Support
-            zh_Hans: 支持
-      show_on:
-        - variable: __model_type
-          value: llm
diff --git a/api/core/model_runtime/model_providers/tongyi/tts/__init__.py b/api/core/model_runtime/model_providers/tongyi/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml b/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml
deleted file mode 100644
index 4eaa0ff361..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml
+++ /dev/null
@@ -1,139 +0,0 @@
-model: tts-1
-model_type: tts
-model_properties:
-  default_voice: 'sambert-zhiru-v1'
-  voices:
-    - mode: "sambert-zhinan-v1"
-      name: "知楠（广告男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiqi-v1"
-      name: "知琪（温柔女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhichu-v1"
-      name: "知厨（新闻播报）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhide-v1"
-      name: "知德（新闻男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhijia-v1"
-      name: "知佳（标准女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiru-v1"
-      name: "知茹（新闻女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiqian-v1"
-      name: "知倩（配音解说、新闻播报）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhixiang-v1"
-      name: "知祥（配音解说）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiwei-v1"
-      name: "知薇（萝莉女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhihao-v1"
-      name: "知浩（咨询男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhijing-v1"
-      name: "知婧（严厉女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiming-v1"
-      name: "知茗（诙谐男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhimo-v1"
-      name: "知墨（情感男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhina-v1"
-      name: "知娜（浙普女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhishu-v1"
-      name: "知树（资讯男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhistella-v1"
-      name: "知莎（知性女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiting-v1"
-      name: "知婷（电台女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhixiao-v1"
-      name: "知笑（资讯女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiya-v1"
-      name: "知雅（严厉女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiye-v1"
-      name: "知晔（青年男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiying-v1"
-      name: "知颖（软萌童声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhiyuan-v1"
-      name: "知媛（知心姐姐）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhigui-v1"
-      name: "知柜（直播女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhishuo-v1"
-      name: "知硕（自然男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhimiao-emo-v1"
-      name: "知妙（多种情感女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhimao-v1"
-      name: "知猫（直播女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhilun-v1"
-      name: "知伦（悬疑解说）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhifei-v1"
-      name: "知飞（激昂解说）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-zhida-v1"
-      name: "知达（标准男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "sambert-camila-v1"
-      name: "Camila（西班牙语女声）"
-      language: [ "es-ES" ]
-    - mode: "sambert-perla-v1"
-      name: "Perla（意大利语女声）"
-      language: [ "it-IT" ]
-    - mode: "sambert-indah-v1"
-      name: "Indah（印尼语女声）"
-      language: [ "id-ID" ]
-    - mode: "sambert-clara-v1"
-      name: "Clara（法语女声）"
-      language: [ "fr-FR" ]
-    - mode: "sambert-hanna-v1"
-      name: "Hanna（德语女声）"
-      language: [ "de-DE" ]
-    - mode: "sambert-beth-v1"
-      name: "Beth（咨询女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-betty-v1"
-      name: "Betty（客服女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-cally-v1"
-      name: "Cally（自然女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-cindy-v1"
-      name: "Cindy（对话女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-eva-v1"
-      name: "Eva（陪伴女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-donna-v1"
-      name: "Donna（教育女声）"
-      language: [ "en-US" ]
-    - mode: "sambert-brian-v1"
-      name: "Brian（客服男声）"
-      language: [ "en-US" ]
-    - mode: "sambert-waan-v1"
-      name: "Waan（泰语女声）"
-      language: [ "th-TH" ]
-  word_limit: 7000
-  audio_type: 'mp3'
-  max_workers: 5
-pricing:
-  input: '1'
-  output: '0'
-  unit: '0.0001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/tongyi/tts/tts.py b/api/core/model_runtime/model_providers/tongyi/tts/tts.py
deleted file mode 100644
index a654e2d760..0000000000
--- a/api/core/model_runtime/model_providers/tongyi/tts/tts.py
+++ /dev/null
@@ -1,152 +0,0 @@
-import threading
-from queue import Queue
-from typing import Any, Optional
-
-import dashscope  # type: ignore
-from dashscope import SpeechSynthesizer  # type: ignore
-from dashscope.api_entities.dashscope_response import SpeechSynthesisResponse  # type: ignore
-from dashscope.audio.tts import ResultCallback, SpeechSynthesisResult  # type: ignore
-
-from core.model_runtime.errors.invoke import InvokeBadRequestError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.tongyi._common import _CommonTongyi
-
-
-class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
-    """
-    Model class for Tongyi Speech to text model.
-    """
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ) -> Any:
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        if not voice or voice not in [
-            d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials)
-        ]:
-            voice = self._get_model_default_voice(model, credentials)
-
-        return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
-        """
-        validate credentials text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        try:
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello Dify!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :return: text translated to audio file
-        """
-        word_limit = self._get_model_word_limit(model, credentials)
-        audio_type = self._get_model_audio_type(model, credentials)
-        try:
-            audio_queue: Queue = Queue()
-            callback = Callback(queue=audio_queue)
-
-            def invoke_remote(content, v, api_key, cb, at, wl):
-                if len(content) < word_limit:
-                    sentences = [content]
-                else:
-                    sentences = list(self._split_text_into_sentences(org_text=content, max_length=wl))
-                for sentence in sentences:
-                    SpeechSynthesizer.call(
-                        model=v,
-                        sample_rate=16000,
-                        api_key=api_key,
-                        text=sentence.strip(),
-                        callback=cb,
-                        format=at,
-                        word_timestamp_enabled=True,
-                        phoneme_timestamp_enabled=True,
-                    )
-
-            threading.Thread(
-                target=invoke_remote,
-                args=(content_text, voice, credentials.get("dashscope_api_key"), callback, audio_type, word_limit),
-            ).start()
-
-            while True:
-                audio = audio_queue.get()
-                if audio is None:
-                    break
-                yield audio
-
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
-
-    @staticmethod
-    def _process_sentence(sentence: str, credentials: dict, voice: str, audio_type: str):
-        """
-        _tts_invoke Tongyi text2speech model api
-
-        :param credentials: model credentials
-        :param sentence: text content to be translated
-        :param voice: model timbre
-        :param audio_type: audio file type
-        :return: text translated to audio file
-        """
-        response = dashscope.audio.tts.SpeechSynthesizer.call(
-            model=voice,
-            sample_rate=48000,
-            api_key=credentials.get("dashscope_api_key"),
-            text=sentence.strip(),
-            format=audio_type,
-        )
-        if isinstance(response.get_audio_data(), bytes):
-            return response.get_audio_data()
-
-
-class Callback(ResultCallback):
-    def __init__(self, queue: Queue):
-        self._queue = queue
-
-    def on_open(self):
-        pass
-
-    def on_complete(self):
-        self._queue.put(None)
-        self._queue.task_done()
-
-    def on_error(self, response: SpeechSynthesisResponse):
-        self._queue.put(None)
-        self._queue.task_done()
-
-    def on_close(self):
-        self._queue.put(None)
-        self._queue.task_done()
-
-    def on_event(self, result: SpeechSynthesisResult):
-        ad = result.get_audio_frame()
-        if ad:
-            self._queue.put(ad)
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/__init__.py b/api/core/model_runtime/model_providers/triton_inference_server/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/triton_inference_server/_assets/icon_l_en.png
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/triton_inference_server/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/triton_inference_server/_assets/icon_s_en.svg
deleted file mode 100644
index 9fc02f9164..0000000000
--- a/api/core/model_runtime/model_providers/triton_inference_server/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="567" height="376" viewBox="0 0 567 376" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M58.0366 161.868C58.0366 161.868 109.261 86.2912 211.538 78.4724V51.053C98.2528 60.1511 0.152344 156.098 0.152344 156.098C0.152344 156.098 55.7148 316.717 211.538 331.426V302.282C97.1876 287.896 58.0366 161.868 58.0366 161.868ZM211.538 244.32V271.013C125.114 255.603 101.125 165.768 101.125 165.768C101.125 165.768 142.621 119.799 211.538 112.345V141.633C211.486 141.633 211.449 141.617 211.406 141.617C175.235 137.276 146.978 171.067 146.978 171.067C146.978 171.067 162.816 227.949 211.538 244.32ZM211.538 0.47998V51.053C214.864 50.7981 218.189 50.5818 221.533 50.468C350.326 46.1273 434.243 156.098 434.243 156.098C434.243 156.098 337.861 273.296 237.448 273.296C228.245 273.296 219.63 272.443 211.538 271.009V302.282C218.695 303.201 225.903 303.667 233.119 303.675C326.56 303.675 394.134 255.954 459.566 199.474C470.415 208.162 514.828 229.299 523.958 238.55C461.745 290.639 316.752 332.626 234.551 332.626C226.627 332.626 219.018 332.148 211.538 331.426V375.369H566.701V0.47998H211.538ZM211.538 112.345V78.4724C214.829 78.2425 218.146 78.0672 221.533 77.9602C314.148 75.0512 374.909 157.548 374.909 157.548C374.909 157.548 309.281 248.693 238.914 248.693C228.787 248.693 219.707 247.065 211.536 244.318V141.631C247.591 145.987 254.848 161.914 276.524 198.049L324.737 157.398C324.737 157.398 289.544 111.243 230.219 111.243C223.768 111.241 217.597 111.696 211.538 112.345Z" fill="#77B900"/>
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diff --git a/api/core/model_runtime/model_providers/triton_inference_server/llm/__init__.py b/api/core/model_runtime/model_providers/triton_inference_server/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py b/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py
deleted file mode 100644
index 3fb3012ae4..0000000000
--- a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py
+++ /dev/null
@@ -1,281 +0,0 @@
-from collections.abc import Generator
-from typing import Optional
-
-from httpx import Response, post
-from yarl import URL
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-
-class TritonInferenceAILargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        invoke LLM
-
-        see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._invoke`
-        """
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        validate credentials
-        """
-        if "server_url" not in credentials:
-            raise CredentialsValidateFailedError("server_url is required in credentials")
-
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=[UserPromptMessage(content="ping")],
-                model_parameters={},
-                stream=False,
-            )
-        except InvokeError as ex:
-            raise CredentialsValidateFailedError(f"An error occurred during connection: {str(ex)}")
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        """
-        get number of tokens
-
-        cause TritonInference LLM is a customized model, we could net detect which tokenizer to use
-        so we just take the GPT2 tokenizer as default
-        """
-        return self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages))
-
-    def _convert_prompt_message_to_text(self, message: list[PromptMessage]) -> str:
-        """
-        convert prompt message to text
-        """
-        text = ""
-        for item in message:
-            if isinstance(item, UserPromptMessage):
-                text += f"User: {item.content}"
-            elif isinstance(item, SystemPromptMessage):
-                text += f"System: {item.content}"
-            elif isinstance(item, AssistantPromptMessage):
-                text += f"Assistant: {item.content}"
-            else:
-                raise NotImplementedError(f"PromptMessage type {type(item)} is not supported")
-        return text
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                max=int(credentials.get("context_length", 2048)),
-                default=min(512, int(credentials.get("context_length", 2048))),
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-        ]
-
-        completion_type = None
-
-        if "completion_type" in credentials:
-            if credentials["completion_type"] == "chat":
-                completion_type = LLMMode.CHAT.value
-            elif credentials["completion_type"] == "completion":
-                completion_type = LLMMode.COMPLETION.value
-            else:
-                raise ValueError(f"completion_type {credentials['completion_type']} is not supported")
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            parameter_rules=rules,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties={
-                ModelPropertyKey.MODE: completion_type,
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_length", 2048)),
-            },
-        )
-
-        return entity
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        generate text from LLM
-        """
-        if "server_url" not in credentials:
-            raise CredentialsValidateFailedError("server_url is required in credentials")
-
-        if "stream" in credentials and not bool(credentials["stream"]) and stream:
-            raise ValueError(f"stream is not supported by model {model}")
-
-        try:
-            parameters = {}
-            if "temperature" in model_parameters:
-                parameters["temperature"] = model_parameters["temperature"]
-            if "top_p" in model_parameters:
-                parameters["top_p"] = model_parameters["top_p"]
-            if "top_k" in model_parameters:
-                parameters["top_k"] = model_parameters["top_k"]
-            if "presence_penalty" in model_parameters:
-                parameters["presence_penalty"] = model_parameters["presence_penalty"]
-            if "frequency_penalty" in model_parameters:
-                parameters["frequency_penalty"] = model_parameters["frequency_penalty"]
-
-            response = post(
-                str(URL(credentials["server_url"]) / "v2" / "models" / model / "generate"),
-                json={
-                    "text_input": self._convert_prompt_message_to_text(prompt_messages),
-                    "max_tokens": model_parameters.get("max_tokens", 512),
-                    "parameters": {"stream": False, **parameters},
-                },
-                timeout=(10, 120),
-            )
-            response.raise_for_status()
-            if response.status_code != 200:
-                raise InvokeBadRequestError(f"Invoke failed with status code {response.status_code}, {response.text}")
-
-            if stream:
-                return self._handle_chat_stream_response(
-                    model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response
-                )
-            return self._handle_chat_generate_response(
-                model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response
-            )
-        except Exception as ex:
-            raise InvokeConnectionError(f"An error occurred during connection: {str(ex)}")
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Response,
-    ) -> LLMResult:
-        """
-        handle normal chat generate response
-        """
-        text = resp.json()["text_output"]
-
-        usage = LLMUsage.empty_usage()
-        usage.prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        usage.completion_tokens = self._get_num_tokens_by_gpt2(text)
-
-        return LLMResult(
-            model=model, prompt_messages=prompt_messages, message=AssistantPromptMessage(content=text), usage=usage
-        )
-
-    def _handle_chat_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Response,
-    ) -> Generator:
-        """
-        handle normal chat generate response
-        """
-        text = resp.json()["text_output"]
-
-        usage = LLMUsage.empty_usage()
-        usage.prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        usage.completion_tokens = self._get_num_tokens_by_gpt2(text)
-
-        yield LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(index=0, message=AssistantPromptMessage(content=text), usage=usage),
-        )
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [ValueError],
-        }
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py b/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py
deleted file mode 100644
index d85f7c82e7..0000000000
--- a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class XinferenceAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml b/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml
deleted file mode 100644
index 218678b883..0000000000
--- a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-provider: triton_inference_server
-label:
-  en_US: Triton Inference Server
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#EFFDFD"
-help:
-  title:
-    en_US: How to deploy Triton Inference Server
-    zh_Hans: 如何部署 Triton Inference Server
-  url:
-    en_US: https://github.com/triton-inference-server/server
-supported_model_types:
-  - llm
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: server_url
-      label:
-        zh_Hans: 服务器URL
-        en_US: Server url
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入 Triton Inference Server 的服务器地址，如 http://192.168.1.100:8000
-        en_US: Enter the url of your Triton Inference Server, e.g. http://192.168.1.100:8000
-    - variable: context_size
-      label:
-        zh_Hans: 上下文大小
-        en_US: Context size
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的上下文大小
-        en_US: Enter the context size
-      default: '2048'
-    - variable: completion_type
-      label:
-        zh_Hans: 补全类型
-        en_US: Model type
-      type: select
-      required: true
-      default: chat
-      placeholder:
-        zh_Hans: 在此输入您的补全类型
-        en_US: Enter the completion type
-      options:
-        - label:
-            zh_Hans: 补全模型
-            en_US: Completion model
-          value: completion
-        - label:
-            zh_Hans: 对话模型
-            en_US: Chat model
-          value: chat
-    - variable: stream
-      label:
-        zh_Hans: 流式输出
-        en_US: Stream output
-      type: select
-      required: true
-      default: 'true'
-      placeholder:
-        zh_Hans: 是否支持流式输出
-        en_US: Whether to support stream output
-      options:
-        - label:
-            zh_Hans: 是
-            en_US: 'Yes'
-          value: 'true'
-        - label:
-            zh_Hans: 否
-            en_US: 'No'
-          value: 'false'
diff --git a/api/core/model_runtime/model_providers/upstage/__init__.py b/api/core/model_runtime/model_providers/upstage/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg
deleted file mode 100644
index 0761f85ba6..0000000000
--- a/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg
+++ /dev/null
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diff --git a/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg
deleted file mode 100644
index 44ef12b730..0000000000
--- a/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
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-</svg>
diff --git a/api/core/model_runtime/model_providers/upstage/_common.py b/api/core/model_runtime/model_providers/upstage/_common.py
deleted file mode 100644
index f6609bba77..0000000000
--- a/api/core/model_runtime/model_providers/upstage/_common.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import openai
-from httpx import Timeout
-
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonUpstage:
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["upstage_api_key"],
-            "base_url": "https://api.upstage.ai/v1/solar",
-            "timeout": Timeout(315.0, read=300.0, write=20.0, connect=10.0),
-            "max_retries": 1,
-        }
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
-            InvokeServerUnavailableError: [openai.InternalServerError],
-            InvokeRateLimitError: [openai.RateLimitError],
-            InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
-            InvokeBadRequestError: [
-                openai.BadRequestError,
-                openai.NotFoundError,
-                openai.UnprocessableEntityError,
-                openai.APIError,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/upstage/llm/__init__.py b/api/core/model_runtime/model_providers/upstage/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/upstage/llm/_position.yaml b/api/core/model_runtime/model_providers/upstage/llm/_position.yaml
deleted file mode 100644
index 7992843dcb..0000000000
--- a/api/core/model_runtime/model_providers/upstage/llm/_position.yaml
+++ /dev/null
@@ -1 +0,0 @@
-- solar-1-mini-chat
diff --git a/api/core/model_runtime/model_providers/upstage/llm/llm.py b/api/core/model_runtime/model_providers/upstage/llm/llm.py
deleted file mode 100644
index 2bf6796ca5..0000000000
--- a/api/core/model_runtime/model_providers/upstage/llm/llm.py
+++ /dev/null
@@ -1,603 +0,0 @@
-import logging
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-from openai import OpenAI, Stream
-from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall
-from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall
-from openai.types.chat.chat_completion_message import FunctionCall
-from tokenizers import Tokenizer  # type: ignore
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.upstage._common import _CommonUpstage
-
-logger = logging.getLogger(__name__)
-
-UPSTAGE_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-
-
-class UpstageLargeLanguageModel(_CommonUpstage, LargeLanguageModel):
-    """
-    Model class for Upstage large language model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-
-        return self._chat_generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}:
-            stop = stop or []
-            self._transform_chat_json_prompts(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-                response_format=model_parameters["response_format"],
-            )
-            model_parameters.pop("response_format")
-
-            return self._invoke(
-                model=model,
-                credentials=credentials,
-                prompt_messages=prompt_messages,
-                model_parameters=model_parameters,
-                tools=tools,
-                stop=stop,
-                stream=stream,
-                user=user,
-            )
-
-    def _transform_chat_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts
-        """
-        if stop is None:
-            stop = []
-        if "```\n" not in stop:
-            stop.append("```\n")
-        if "\n```" not in stop:
-            stop.append("\n```")
-
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            prompt_messages[0] = SystemPromptMessage(
-                content=UPSTAGE_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}\n"))
-        else:
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=UPSTAGE_BLOCK_MODE_PROMPT.replace(
-                        "{{instructions}}", f"Please output a valid {response_format} object."
-                    ).replace("{{block}}", response_format)
-                ),
-            )
-            prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}"))
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        return self._num_tokens_from_messages(model, prompt_messages, tools)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            client.chat.completions.create(
-                messages=[{"role": "user", "content": "ping"}], model=model, temperature=0, max_tokens=10, stream=False
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(str(e))
-
-    def _chat_generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-
-        if tools:
-            extra_model_kwargs["functions"] = [
-                {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools
-            ]
-
-        if stop:
-            extra_model_kwargs["stop"] = stop
-
-        if user:
-            extra_model_kwargs["user"] = user
-
-        # chat model
-        response = client.chat.completions.create(
-            messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages],
-            model=model,
-            stream=stream,
-            **model_parameters,
-            **extra_model_kwargs,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)
-        return self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: ChatCompletion,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response
-        """
-        assistant_message = response.choices[0].message
-        # assistant_message_tool_calls = assistant_message.tool_calls
-        assistant_message_function_call = assistant_message.function_call
-
-        # extract tool calls from response
-        # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-        function_call = self._extract_response_function_call(assistant_message_function_call)
-        tool_calls = [function_call] if function_call else []
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-            completion_tokens = self._num_tokens_from_messages(model, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=response.model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-            system_fingerprint=response.system_fingerprint,
-        )
-
-        return response
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[ChatCompletionChunk],
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return: llm response chunk generator
-        """
-        full_assistant_content = ""
-        delta_assistant_message_function_call_storage: Optional[ChoiceDeltaFunctionCall] = None
-        prompt_tokens = 0
-        completion_tokens = 0
-        final_tool_calls = []
-        final_chunk = LLMResultChunk(
-            model=model,
-            prompt_messages=prompt_messages,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=""),
-            ),
-        )
-
-        for chunk in response:
-            if len(chunk.choices) == 0:
-                if chunk.usage:
-                    # calculate num tokens
-                    prompt_tokens = chunk.usage.prompt_tokens
-                    completion_tokens = chunk.usage.completion_tokens
-                continue
-
-            delta = chunk.choices[0]
-            has_finish_reason = delta.finish_reason is not None
-
-            if (
-                not has_finish_reason
-                and (delta.delta.content is None or delta.delta.content == "")
-                and delta.delta.function_call is None
-            ):
-                continue
-
-            # assistant_message_tool_calls = delta.delta.tool_calls
-            assistant_message_function_call = delta.delta.function_call
-
-            # extract tool calls from response
-            if delta_assistant_message_function_call_storage is not None:
-                # handle process of stream function call
-                if assistant_message_function_call:
-                    # message has not ended ever
-                    delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments
-                    continue
-                else:
-                    # message has ended
-                    assistant_message_function_call = delta_assistant_message_function_call_storage
-                    delta_assistant_message_function_call_storage = None
-            else:
-                if assistant_message_function_call:
-                    # start of stream function call
-                    delta_assistant_message_function_call_storage = assistant_message_function_call
-                    if delta_assistant_message_function_call_storage.arguments is None:
-                        delta_assistant_message_function_call_storage.arguments = ""
-                    if not has_finish_reason:
-                        continue
-
-            # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
-            function_call = self._extract_response_function_call(assistant_message_function_call)
-            tool_calls = [function_call] if function_call else []
-            if tool_calls:
-                final_tool_calls.extend(tool_calls)
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls)
-
-            full_assistant_content += delta.delta.content or ""
-
-            if has_finish_reason:
-                final_chunk = LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-        if not prompt_tokens:
-            prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools)
-
-        if not completion_tokens:
-            full_assistant_prompt_message = AssistantPromptMessage(
-                content=full_assistant_content, tool_calls=final_tool_calls
-            )
-            completion_tokens = self._num_tokens_from_messages(model, [full_assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-        final_chunk.delta.usage = usage
-
-        yield final_chunk
-
-    def _extract_response_tool_calls(
-        self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.id, type=response_tool_call.type, function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _extract_response_function_call(
-        self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall
-    ) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract function call from response
-
-        :param response_function_call: response function call
-        :return: tool call
-        """
-        tool_call = None
-        if response_function_call:
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_function_call.name, arguments=response_function_call.arguments
-            )
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_function_call.name, type="function", function=function
-            )
-
-        return tool_call
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for Upstage API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls:
-                # message_dict["tool_calls"] = [tool_call.dict() for tool_call in
-                #                               message.tool_calls]
-                function_call = message.tool_calls[0]
-                message_dict["function_call"] = {
-                    "name": function_call.function.name,
-                    "arguments": function_call.function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            # message_dict = {
-            #     "role": "tool",
-            #     "content": message.content,
-            #     "tool_call_id": message.tool_call_id
-            # }
-            message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        if message.name:
-            message_dict["name"] = message.name
-
-        return message_dict
-
-    def _get_tokenizer(self) -> Tokenizer:
-        return Tokenizer.from_pretrained("upstage/solar-1-mini-tokenizer")
-
-    def _num_tokens_from_messages(
-        self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """
-        Calculate num tokens for solar with Huggingface Solar tokenizer.
-        Solar tokenizer is opened in huggingface https://huggingface.co/upstage/solar-1-mini-tokenizer
-        """
-        tokenizer = self._get_tokenizer()
-        tokens_per_message = 5  # <|im_start|>{role}\n{message}<|im_end|>
-        tokens_prefix = 1  # <|startoftext|>
-        tokens_suffix = 3  # <|im_start|>assistant\n
-
-        num_tokens = 0
-        num_tokens += tokens_prefix
-
-        messages_dict = [self._convert_prompt_message_to_dict(message) for message in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += len(tokenizer.encode(t_key, add_special_tokens=False))
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += len(tokenizer.encode(f_key, add_special_tokens=False))
-                                    num_tokens += len(tokenizer.encode(f_value, add_special_tokens=False))
-                            else:
-                                num_tokens += len(tokenizer.encode(t_key, add_special_tokens=False))
-                                num_tokens += len(tokenizer.encode(t_value, add_special_tokens=False))
-                else:
-                    num_tokens += len(tokenizer.encode(str(value), add_special_tokens=False))
-        num_tokens += tokens_suffix
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tokenizer, tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tokenizer: Tokenizer, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling with upstage tokenizer.
-
-        :param tokenizer: huggingface tokenizer
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        num_tokens = 0
-        for tool in tools:
-            num_tokens += len(tokenizer.encode("type"))
-            num_tokens += len(tokenizer.encode("function"))
-
-            # calculate num tokens for function object
-            num_tokens += len(tokenizer.encode("name"))
-            num_tokens += len(tokenizer.encode(tool.name))
-            num_tokens += len(tokenizer.encode("description"))
-            num_tokens += len(tokenizer.encode(tool.description))
-            parameters = tool.parameters
-            num_tokens += len(tokenizer.encode("parameters"))
-            if "title" in parameters:
-                num_tokens += len(tokenizer.encode("title"))
-                num_tokens += len(tokenizer.encode(parameters.get("title")))
-            num_tokens += len(tokenizer.encode("type"))
-            num_tokens += len(tokenizer.encode(parameters.get("type")))
-            if "properties" in parameters:
-                num_tokens += len(tokenizer.encode("properties"))
-                for key, value in parameters.get("properties").items():
-                    num_tokens += len(tokenizer.encode(key))
-                    for field_key, field_value in value.items():
-                        num_tokens += len(tokenizer.encode(field_key))
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += len(tokenizer.encode(enum_field))
-                        else:
-                            num_tokens += len(tokenizer.encode(field_key))
-                            num_tokens += len(tokenizer.encode(str(field_value)))
-            if "required" in parameters:
-                num_tokens += len(tokenizer.encode("required"))
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += len(tokenizer.encode(required_field))
-
-        return num_tokens
diff --git a/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml b/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml
deleted file mode 100644
index 787ac83f8a..0000000000
--- a/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: solar-1-mini-chat
-label:
-  zh_Hans: solar-1-mini-chat
-  en_US: solar-1-mini-chat
-  ko_KR: solar-1-mini-chat
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 512
-    min: 1
-    max: 32768
-  - name: seed
-    label:
-      zh_Hans: 种子
-      en_US: Seed
-    type: int
-    help:
-      zh_Hans:
-        如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint
-        响应参数来监视变化。
-      en_US:
-        If specified, model will make a best effort to sample deterministically,
-        such that repeated requests with the same seed and parameters should return
-        the same result. Determinism is not guaranteed, and you should refer to the
-        system_fingerprint response parameter to monitor changes in the backend.
-    required: false
-pricing:
-  input: "0.5"
-  output: "0.5"
-  unit: "0.000001"
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/__init__.py b/api/core/model_runtime/model_providers/upstage/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml b/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml
deleted file mode 100644
index d838a5bbb1..0000000000
--- a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: solar-embedding-1-large-passage
-model_type: text-embedding
-model_properties:
-  context_size: 4000
-  max_chunks: 32
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml b/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml
deleted file mode 100644
index c77645cffd..0000000000
--- a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: solar-embedding-1-large-query
-model_type: text-embedding
-model_properties:
-  context_size: 4000
-  max_chunks: 32
-pricing:
-  input: '0.1'
-  unit: '0.000001'
-  currency: 'USD'
diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py
deleted file mode 100644
index 87693eca76..0000000000
--- a/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,199 +0,0 @@
-import base64
-import time
-from typing import Union
-
-import numpy as np
-from openai import OpenAI
-from tokenizers import Tokenizer  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.upstage._common import _CommonUpstage
-
-
-class UpstageTextEmbeddingModel(_CommonUpstage, TextEmbeddingModel):
-    """
-    Model class for Upstage text embedding model.
-    """
-
-    def _get_tokenizer(self) -> Tokenizer:
-        return Tokenizer.from_pretrained("upstage/solar-1-mini-tokenizer")
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: str | None = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = OpenAI(**credentials_kwargs)
-
-        extra_model_kwargs = {}
-        if user:
-            extra_model_kwargs["user"] = user
-        extra_model_kwargs["encoding_format"] = "base64"
-
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-
-        embeddings: list[list[float]] = [[] for _ in range(len(texts))]
-        tokens = []
-        indices = []
-        used_tokens = 0
-
-        tokenizer = self._get_tokenizer()
-
-        for i, text in enumerate(texts):
-            token = tokenizer.encode(text, add_special_tokens=False).tokens
-            for j in range(0, len(token), context_size):
-                tokens += [token[j : j + context_size]]
-                indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(tokens), max_chunks)
-
-        for i in _iter:
-            embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                model=model,
-                client=client,
-                texts=tokens[i : i + max_chunks],
-                extra_model_kwargs=extra_model_kwargs,
-            )
-
-            used_tokens += embedding_used_tokens
-            batched_embeddings += embeddings_batch
-
-        results: list[list[list[float]]] = [[] for _ in range(len(texts))]
-        num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))]
-
-        for i in range(len(indices)):
-            results[indices[i]].append(batched_embeddings[i])
-            num_tokens_in_batch[indices[i]].append(len(tokens[i]))
-
-        for i in range(len(texts)):
-            _result = results[i]
-            if len(_result) == 0:
-                embeddings_batch, embedding_used_tokens = self._embedding_invoke(
-                    model=model,
-                    client=client,
-                    texts=[texts[i]],
-                    extra_model_kwargs=extra_model_kwargs,
-                )
-                used_tokens += embedding_used_tokens
-                average = embeddings_batch[0]
-            else:
-                average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
-            embedding = (average / np.linalg.norm(average)).tolist()
-            if np.isnan(embedding).any():
-                raise ValueError("Normalized embedding is nan please try again")
-            embeddings[i] = embedding
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        tokenizer = self._get_tokenizer()
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-
-        tokenizer = self._get_tokenizer()
-
-        total_num_tokens = 0
-        for text in texts:
-            # calculate the number of tokens in the encoded text
-            tokenized_text = tokenizer.encode(text)
-            total_num_tokens += len(tokenized_text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = OpenAI(**credentials_kwargs)
-
-            # call embedding model
-            self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={})
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(
-        self, model: str, client: OpenAI, texts: Union[list[str], str], extra_model_kwargs: dict
-    ) -> tuple[list[list[float]], int]:
-        """
-        Invoke embedding model
-        :param model: model name
-        :param client: model client
-        :param texts: texts to embed
-        :param extra_model_kwargs: extra model kwargs
-        :return: embeddings and used tokens
-        """
-        response = client.embeddings.create(model=model, input=texts, **extra_model_kwargs)
-
-        if "encoding_format" in extra_model_kwargs and extra_model_kwargs["encoding_format"] == "base64":
-            return (
-                [
-                    list(np.frombuffer(base64.b64decode(embedding.embedding), dtype=np.float32))
-                    for embedding in response.data
-                ],
-                response.usage.total_tokens,
-            )
-
-        return [data.embedding for data in response.data], response.usage.total_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, tokens=tokens, price_type=PriceType.INPUT
-        )
-
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/upstage/upstage.py b/api/core/model_runtime/model_providers/upstage/upstage.py
deleted file mode 100644
index e45d4aae19..0000000000
--- a/api/core/model_runtime/model_providers/upstage/upstage.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class UpstageProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials from defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="solar-1-mini-chat", credentials=credentials)
-        except CredentialsValidateFailedError as e:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise e
-        except Exception as e:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise e
diff --git a/api/core/model_runtime/model_providers/upstage/upstage.yaml b/api/core/model_runtime/model_providers/upstage/upstage.yaml
deleted file mode 100644
index 837667cfa9..0000000000
--- a/api/core/model_runtime/model_providers/upstage/upstage.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-provider: upstage
-label:
-  en_US: Upstage
-description:
-  en_US: Models provided by Upstage, such as Solar-1-mini-chat.
-  zh_Hans: Upstage 提供的模型，例如 Solar-1-mini-chat.
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FFFFF"
-help:
-  title:
-    en_US: Get your API Key from Upstage
-    zh_Hans: 从 Upstage 获取 API Key
-  url:
-    en_US: https://console.upstage.ai/api-keys
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: upstage_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: upstage_api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/vertex_ai/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_l_en.png
deleted file mode 100644
index 9f8f05231a6733a138502ba7a254e2125ae8d02b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_s_en.svg
deleted file mode 100644
index efc3589c07..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_s_en.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="24px" height="24px"><path d="M20,13.89A.77.77,0,0,0,19,13.73l-7,5.14v.22a.72.72,0,1,1,0,1.43v0a.74.74,0,0,0,.45-.15l7.41-5.47A.76.76,0,0,0,20,13.89Z" style="fill:#669df6"/><path d="M12,20.52a.72.72,0,0,1,0-1.43h0v-.22L5,13.73a.76.76,0,0,0-1,.16.74.74,0,0,0,.16,1l7.41,5.47a.73.73,0,0,0,.44.15v0Z" style="fill:#aecbfa"/><path d="M12,18.34a1.47,1.47,0,1,0,1.47,1.47A1.47,1.47,0,0,0,12,18.34Zm0,2.18a.72.72,0,1,1,.72-.71A.71.71,0,0,1,12,20.52Z" style="fill:#4285f4"/><path d="M6,6.11a.76.76,0,0,1-.75-.75V3.48a.76.76,0,1,1,1.51,0V5.36A.76.76,0,0,1,6,6.11Z" style="fill:#aecbfa"/><circle cx="5.98" cy="12" r="0.76" style="fill:#aecbfa"/><circle cx="5.98" cy="9.79" r="0.76" style="fill:#aecbfa"/><circle cx="5.98" cy="7.57" r="0.76" style="fill:#aecbfa"/><path d="M18,8.31a.76.76,0,0,1-.75-.76V5.67a.75.75,0,1,1,1.5,0V7.55A.75.75,0,0,1,18,8.31Z" style="fill:#4285f4"/><circle cx="18.02" cy="12.01" r="0.76" style="fill:#4285f4"/><circle cx="18.02" cy="9.76" r="0.76" style="fill:#4285f4"/><circle cx="18.02" cy="3.48" r="0.76" style="fill:#4285f4"/><path d="M12,15a.76.76,0,0,1-.75-.75V12.34a.76.76,0,0,1,1.51,0v1.89A.76.76,0,0,1,12,15Z" style="fill:#669df6"/><circle cx="12" cy="16.45" r="0.76" style="fill:#669df6"/><circle cx="12" cy="10.14" r="0.76" style="fill:#669df6"/><circle cx="12" cy="7.92" r="0.76" style="fill:#669df6"/><path d="M15,10.54a.76.76,0,0,1-.75-.75V7.91a.76.76,0,1,1,1.51,0V9.79A.76.76,0,0,1,15,10.54Z" style="fill:#4285f4"/><circle cx="15.01" cy="5.69" r="0.76" style="fill:#4285f4"/><circle cx="15.01" cy="14.19" r="0.76" style="fill:#4285f4"/><circle cx="15.01" cy="11.97" r="0.76" style="fill:#4285f4"/><circle cx="8.99" cy="14.19" r="0.76" style="fill:#aecbfa"/><circle cx="8.99" cy="7.92" r="0.76" style="fill:#aecbfa"/><circle cx="8.99" cy="5.69" r="0.76" style="fill:#aecbfa"/><path d="M9,12.73A.76.76,0,0,1,8.24,12V10.1a.75.75,0,1,1,1.5,0V12A.75.75,0,0,1,9,12.73Z" style="fill:#aecbfa"/></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/vertex_ai/_common.py b/api/core/model_runtime/model_providers/vertex_ai/_common.py
deleted file mode 100644
index 4e3df7574e..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/_common.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from core.model_runtime.errors.invoke import InvokeError
-
-
-class _CommonVertexAi:
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        raise NotImplementedError
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml
deleted file mode 100644
index 5613348695..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: claude-3-haiku@20240307
-label:
-  en_US: Claude 3 Haiku
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.00025'
-  output: '0.00125'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml
deleted file mode 100644
index ab084636b5..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-model: claude-3-opus@20240229
-label:
-  en_US: Claude 3 Opus
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  # docs: https://docs.anthropic.com/claude/docs/system-prompts
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.015'
-  output: '0.075'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml
deleted file mode 100644
index 0be0113ffd..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml
+++ /dev/null
@@ -1,55 +0,0 @@
-model: claude-3-sonnet@20240229
-label:
-  en_US: Claude 3 Sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml
deleted file mode 100644
index 37b9f30cc3..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml
+++ /dev/null
@@ -1,55 +0,0 @@
-model: claude-3-5-sonnet-v2@20241022
-label:
-  en_US: Claude 3.5 Sonnet v2
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 8192
-    min: 1
-    max: 8192
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml
deleted file mode 100644
index c64384e6a2..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml
+++ /dev/null
@@ -1,55 +0,0 @@
-model: claude-3-5-sonnet@20240620
-label:
-  en_US: Claude 3.5 Sonnet
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    type: int
-    default: 4096
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
-      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
-  - name: temperature
-    use_template: temperature
-    required: false
-    type: float
-    default: 1
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 生成内容的随机性。
-      en_US: The amount of randomness injected into the response.
-  - name: top_p
-    required: false
-    type: float
-    default: 0.999
-    min: 0.000
-    max: 1.000
-    help:
-      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
-      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
-  - name: top_k
-    required: false
-    type: int
-    default: 0
-    min: 0
-    # tip docs from aws has error, max value is 500
-    max: 500
-    help:
-      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
-      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
-pricing:
-  input: '0.003'
-  output: '0.015'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml
deleted file mode 100644
index ebb276b8af..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-1.0-pro-vision-001
-label:
-  en_US: Gemini 1.0 Pro Vision
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 2048
-    min: 1
-    max: 2048
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml
deleted file mode 100644
index c325973846..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: gemini-1.0-pro-002
-label:
-  en_US: Gemini 1.0 Pro
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32760
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml
deleted file mode 100644
index f5386be06d..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-1.5-flash-001
-label:
-  en_US: Gemini 1.5 Flash 001
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml
deleted file mode 100644
index 97bd44f06b..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-1.5-flash-002
-label:
-  en_US: Gemini 1.5 Flash 002
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml
deleted file mode 100644
index 5e08f2294e..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-1.5-pro-001
-label:
-  en_US: Gemini 1.5 Pro 001
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml
deleted file mode 100644
index 8f327ea2f3..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-1.5-pro-002
-label:
-  en_US: Gemini 1.5 Pro 002
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml
deleted file mode 100644
index bcd59623a7..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: gemini-2.0-flash-exp
-label:
-  en_US: Gemini 2.0 Flash Exp
-model_type: llm
-features:
-  - agent-thought
-  - vision
-  - tool-call
-  - stream-tool-call
-  - document
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: max_output_tokens
-    use_template: max_tokens
-    default: 8192
-    min: 1
-    max: 8192
-  - name: json_schema
-    use_template: json_schema
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml
deleted file mode 100644
index 0f5eb34c0c..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-flash-experimental
-label:
-  en_US: Gemini Flash Experimental
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml
deleted file mode 100644
index fa31cabb85..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: gemini-pro-experimental
-label:
-  en_US: Gemini Pro Experimental
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      en_US: Top k
-    type: int
-    help:
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: max_output_tokens
-    use_template: max_tokens
-    required: true
-    default: 8192
-    min: 1
-    max: 8192
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py
deleted file mode 100644
index 85be34f3f0..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py
+++ /dev/null
@@ -1,752 +0,0 @@
-import base64
-import io
-import json
-import logging
-import time
-from collections.abc import Generator
-from typing import TYPE_CHECKING, Optional, Union, cast
-
-import google.auth.transport.requests  # type: ignore
-import requests
-from anthropic import AnthropicVertex, Stream
-from anthropic.types import (
-    ContentBlockDeltaEvent,
-    Message,
-    MessageDeltaEvent,
-    MessageStartEvent,
-    MessageStopEvent,
-    MessageStreamEvent,
-)
-from google.api_core import exceptions
-from PIL import Image
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-
-if TYPE_CHECKING:
-    import vertexai.generative_models as glm
-
-logger = logging.getLogger(__name__)
-
-
-class VertexAiLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # invoke anthropic models via anthropic official SDK
-        if "claude" in model:
-            return self._generate_anthropic(model, credentials, prompt_messages, model_parameters, stop, stream, user)
-        # invoke Gemini model
-        return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _generate_anthropic(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke Anthropic large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :return: full response or stream response chunk generator result
-        """
-        from google.oauth2 import service_account
-
-        # use Anthropic official SDK references
-        # - https://github.com/anthropics/anthropic-sdk-python
-        service_account_key = credentials.get("vertex_service_account_key", "")
-        project_id = credentials["vertex_project_id"]
-        SCOPES = ["https://www.googleapis.com/auth/cloud-platform"]
-        token = ""
-
-        # get access token from service account credential
-        if service_account_key:
-            service_account_info = json.loads(base64.b64decode(service_account_key))
-            credentials = service_account.Credentials.from_service_account_info(service_account_info, scopes=SCOPES)
-            request = google.auth.transport.requests.Request()
-            credentials.refresh(request)
-            token = credentials.token
-
-        # Vertex AI Anthropic Claude3 Opus model available in us-east5 region, Sonnet and Haiku available
-        # in us-central1 region
-        if "opus" in model or "claude-3-5-sonnet" in model:
-            location = "us-east5"
-        else:
-            location = "us-central1"
-
-        # use access token to authenticate
-        if token:
-            client = AnthropicVertex(region=location, project_id=project_id, access_token=token)
-        # When access token is empty, try to use the Google Cloud VM's built-in service account
-        # or the GOOGLE_APPLICATION_CREDENTIALS environment variable
-        else:
-            client = AnthropicVertex(
-                region=location,
-                project_id=project_id,
-            )
-
-        extra_model_kwargs = {}
-        if stop:
-            extra_model_kwargs["stop_sequences"] = stop
-
-        system, prompt_message_dicts = self._convert_claude_prompt_messages(prompt_messages)
-
-        if system:
-            extra_model_kwargs["system"] = system
-
-        response = client.messages.create(
-            model=model, messages=prompt_message_dicts, stream=stream, **model_parameters, **extra_model_kwargs
-        )
-
-        if stream:
-            return self._handle_claude_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_claude_response(model, credentials, response, prompt_messages)
-
-    def _handle_claude_response(
-        self, model: str, credentials: dict, response: Message, prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: full response chunk generator result
-        """
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=response.content[0].text)
-
-        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.input_tokens
-            completion_tokens = response.usage.output_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        response = LLMResult(
-            model=response.model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage
-        )
-
-        return response
-
-    def _handle_claude_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        response: Stream[MessageStreamEvent],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm chat stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: full response or stream response chunk generator result
-        """
-
-        try:
-            full_assistant_content = ""
-            return_model = None
-            input_tokens = 0
-            output_tokens = 0
-            finish_reason = None
-            index = 0
-
-            for chunk in response:
-                if isinstance(chunk, MessageStartEvent):
-                    return_model = chunk.message.model
-                    input_tokens = chunk.message.usage.input_tokens
-                elif isinstance(chunk, MessageDeltaEvent):
-                    output_tokens = chunk.usage.output_tokens
-                    finish_reason = chunk.delta.stop_reason
-                elif isinstance(chunk, MessageStopEvent):
-                    usage = self._calc_response_usage(model, credentials, input_tokens, output_tokens)
-                    yield LLMResultChunk(
-                        model=return_model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=index + 1,
-                            message=AssistantPromptMessage(content=""),
-                            finish_reason=finish_reason,
-                            usage=usage,
-                        ),
-                    )
-                elif isinstance(chunk, ContentBlockDeltaEvent):
-                    chunk_text = chunk.delta.text or ""
-                    full_assistant_content += chunk_text
-                    assistant_prompt_message = AssistantPromptMessage(
-                        content=chunk_text or "",
-                    )
-                    index = chunk.index
-                    yield LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=index,
-                            message=assistant_prompt_message,
-                        ),
-                    )
-        except Exception as ex:
-            raise InvokeError(str(ex))
-
-    def _calc_claude_response_usage(
-        self, model: str, credentials: dict, prompt_tokens: int, completion_tokens: int
-    ) -> LLMUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_tokens: prompt tokens
-        :param completion_tokens: completion tokens
-        :return: usage
-        """
-        # get prompt price info
-        prompt_price_info = self.get_price(
-            model=model,
-            credentials=credentials,
-            price_type=PriceType.INPUT,
-            tokens=prompt_tokens,
-        )
-
-        # get completion price info
-        completion_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.OUTPUT, tokens=completion_tokens
-        )
-
-        # transform usage
-        usage = LLMUsage(
-            prompt_tokens=prompt_tokens,
-            prompt_unit_price=prompt_price_info.unit_price,
-            prompt_price_unit=prompt_price_info.unit,
-            prompt_price=prompt_price_info.total_amount,
-            completion_tokens=completion_tokens,
-            completion_unit_price=completion_price_info.unit_price,
-            completion_price_unit=completion_price_info.unit,
-            completion_price=completion_price_info.total_amount,
-            total_tokens=prompt_tokens + completion_tokens,
-            total_price=prompt_price_info.total_amount + completion_price_info.total_amount,
-            currency=prompt_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def _convert_claude_prompt_messages(self, prompt_messages: list[PromptMessage]) -> tuple[str, list[dict]]:
-        """
-        Convert prompt messages to dict list and system
-        """
-
-        system = ""
-        first_loop = True
-        for message in prompt_messages:
-            if isinstance(message, SystemPromptMessage):
-                message.content = message.content.strip()
-                if first_loop:
-                    system = message.content
-                    first_loop = False
-                else:
-                    system += "\n"
-                    system += message.content
-
-        prompt_message_dicts = []
-        for message in prompt_messages:
-            if not isinstance(message, SystemPromptMessage):
-                prompt_message_dicts.append(self._convert_claude_prompt_message_to_dict(message))
-
-        return system, prompt_message_dicts
-
-    def _convert_claude_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(TextPromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        if not message_content.data.startswith("data:"):
-                            # fetch image data from url
-                            try:
-                                image_content = requests.get(message_content.data).content
-                                with Image.open(io.BytesIO(image_content)) as img:
-                                    mime_type = f"image/{img.format.lower()}"
-                                base64_data = base64.b64encode(image_content).decode("utf-8")
-                            except Exception as ex:
-                                raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}")
-                        else:
-                            data_split = message_content.data.split(";base64,")
-                            mime_type = data_split[0].replace("data:", "")
-                            base64_data = data_split[1]
-
-                        if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}:
-                            raise ValueError(
-                                f"Unsupported image type {mime_type}, "
-                                f"only support image/jpeg, image/png, image/gif, and image/webp"
-                            )
-
-                        sub_message_dict = {
-                            "type": "image",
-                            "source": {"type": "base64", "media_type": mime_type, "data": base64_data},
-                        }
-                        sub_messages.append(sub_message_dict)
-
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_dict
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:md = gml.GenerativeModel(model)
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str:
-        """
-        Format a list of messages into a full prompt for the Google model
-
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        return text.rstrip()
-
-    def _convert_tools_to_glm_tool(self, tools: list[PromptMessageTool]) -> "glm.Tool":
-        """
-        Convert tool messages to glm tools
-
-        :param tools: tool messages
-        :return: glm tools
-        """
-        import vertexai.generative_models as glm
-
-        return glm.Tool(
-            function_declarations=[
-                glm.FunctionDeclaration(
-                    name=tool.name,
-                    parameters=glm.Schema(
-                        type=glm.Type.OBJECT,
-                        properties={
-                            key: {
-                                "type_": value.get("type", "string").upper(),
-                                "description": value.get("description", ""),
-                                "enum": value.get("enum", []),
-                            }
-                            for key, value in tool.parameters.get("properties", {}).items()
-                        },
-                        required=tool.parameters.get("required", []),
-                    ),
-                )
-                for tool in tools
-            ]
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-
-        try:
-            ping_message = SystemPromptMessage(content="ping")
-            self._generate(model, credentials, [ping_message], {"max_tokens_to_sample": 5})
-
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        import vertexai.generative_models as glm
-        from google.cloud import aiplatform
-        from google.oauth2 import service_account
-
-        config_kwargs = model_parameters.copy()
-        config_kwargs["max_output_tokens"] = config_kwargs.pop("max_tokens_to_sample", None)
-
-        if stop:
-            config_kwargs["stop_sequences"] = stop
-
-        service_account_key = credentials.get("vertex_service_account_key", "")
-        project_id = credentials["vertex_project_id"]
-        location = credentials["vertex_location"]
-        if service_account_key:
-            service_account_info = json.loads(base64.b64decode(service_account_key))
-            service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
-            aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
-        else:
-            aiplatform.init(project=project_id, location=location)
-
-        history = []
-        system_instruction = ""
-        # hack for gemini-pro-vision, which currently does not support multi-turn chat
-        if model == "gemini-1.0-pro-vision-001":
-            last_msg = prompt_messages[-1]
-            content = self._format_message_to_glm_content(last_msg)
-            history.append(content)
-        else:
-            for msg in prompt_messages:
-                if isinstance(msg, SystemPromptMessage):
-                    system_instruction = msg.content
-                else:
-                    content = self._format_message_to_glm_content(msg)
-                    if history and history[-1].role == content.role:
-                        history[-1].parts.extend(content.parts)
-                    else:
-                        history.append(content)
-
-        google_model = glm.GenerativeModel(model_name=model, system_instruction=system_instruction)
-
-        response = google_model.generate_content(
-            contents=history,
-            generation_config=glm.GenerationConfig(**config_kwargs),
-            stream=stream,
-            tools=self._convert_tools_to_glm_tool(tools) if tools else None,
-        )
-
-        if stream:
-            return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
-
-        return self._handle_generate_response(model, credentials, response, prompt_messages)
-
-    def _handle_generate_response(
-        self, model: str, credentials: dict, response: "glm.GenerationResponse", prompt_messages: list[PromptMessage]
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=response.candidates[0].content.parts[0].text)
-
-        # calculate num tokens
-        prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-        completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=assistant_prompt_message,
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self, model: str, credentials: dict, response: "glm.GenerationResponse", prompt_messages: list[PromptMessage]
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        index = -1
-        for chunk in response:
-            for part in chunk.candidates[0].content.parts:
-                assistant_prompt_message = AssistantPromptMessage(content="")
-
-                if part.text:
-                    assistant_prompt_message.content += part.text
-
-                if part.function_call:
-                    assistant_prompt_message.tool_calls = [
-                        AssistantPromptMessage.ToolCall(
-                            id=part.function_call.name,
-                            type="function",
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=part.function_call.name,
-                                arguments=json.dumps(dict(part.function_call.args.items())),
-                            ),
-                        )
-                    ]
-
-                index += 1
-
-                if not hasattr(chunk, "finish_reason") or not chunk.finish_reason:
-                    # transform assistant message to prompt message
-                    yield LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message),
-                    )
-                else:
-                    # calculate num tokens
-                    prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-                    completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
-
-                    # transform usage
-                    usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                    yield LLMResultChunk(
-                        model=model,
-                        prompt_messages=prompt_messages,
-                        delta=LLMResultChunkDelta(
-                            index=index,
-                            message=assistant_prompt_message,
-                            finish_reason=chunk.candidates[0].finish_reason,
-                            usage=usage,
-                        ),
-                    )
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nuser:"
-        ai_prompt = "\n\nmodel:"
-
-        content = message.content
-        if isinstance(content, list):
-            content = "".join(c.data for c in content if c.type != PromptMessageContentType.IMAGE)
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage | ToolPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _format_message_to_glm_content(self, message: PromptMessage) -> "glm.Content":
-        """
-        Format a single message into glm.Content for Google API
-
-        :param message: one PromptMessage
-        :return: glm Content representation of message
-        """
-        import vertexai.generative_models as glm
-
-        if isinstance(message, UserPromptMessage):
-            glm_content = glm.Content(role="user", parts=[])
-
-            if isinstance(message.content, str):
-                glm_content = glm.Content(role="user", parts=[glm.Part.from_text(message.content)])
-            else:
-                parts = []
-                for c in message.content:
-                    if c.type == PromptMessageContentType.TEXT:
-                        parts.append(glm.Part.from_text(c.data))
-                    else:
-                        message_content = cast(ImagePromptMessageContent, c)
-                        if not message_content.data.startswith("data:"):
-                            url_arr = message_content.data.split(".")
-                            mime_type = f"image/{url_arr[-1]}"
-                            parts.append(glm.Part.from_uri(mime_type=mime_type, uri=message_content.data))
-                        else:
-                            metadata, data = c.data.split(",", 1)
-                            mime_type = metadata.split(";", 1)[0].split(":")[1]
-                            parts.append(glm.Part.from_data(mime_type=mime_type, data=data))
-                glm_content = glm.Content(role="user", parts=parts)
-            return glm_content
-        elif isinstance(message, AssistantPromptMessage):
-            if message.content:
-                glm_content = glm.Content(role="model", parts=[glm.Part.from_text(message.content)])
-            if message.tool_calls:
-                glm_content = glm.Content(
-                    role="model",
-                    parts=[
-                        glm.Part.from_function_response(
-                            glm.FunctionCall(
-                                name=message.tool_calls[0].function.name,
-                                args=json.loads(message.tool_calls[0].function.arguments),
-                            )
-                        )
-                    ],
-                )
-            return glm_content
-        elif isinstance(message, ToolPromptMessage):
-            glm_content = glm.Content(
-                role="function",
-                parts=[
-                    glm.Part(
-                        function_response=glm.FunctionResponse(
-                            name=message.name, response={"response": message.content}
-                        )
-                    )
-                ],
-            )
-            return glm_content
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the ermd = gml.GenerativeModel(model) error type thrown to the caller
-        The value is the md = gml.GenerativeModel(model) error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke emd = gml.GenerativeModel(model) error mapping
-        """
-        return {
-            InvokeConnectionError: [exceptions.RetryError],
-            InvokeServerUnavailableError: [
-                exceptions.ServiceUnavailable,
-                exceptions.InternalServerError,
-                exceptions.BadGateway,
-                exceptions.GatewayTimeout,
-                exceptions.DeadlineExceeded,
-            ],
-            InvokeRateLimitError: [exceptions.ResourceExhausted, exceptions.TooManyRequests],
-            InvokeAuthorizationError: [
-                exceptions.Unauthenticated,
-                exceptions.PermissionDenied,
-                exceptions.Unauthenticated,
-                exceptions.Forbidden,
-            ],
-            InvokeBadRequestError: [
-                exceptions.BadRequest,
-                exceptions.InvalidArgument,
-                exceptions.FailedPrecondition,
-                exceptions.OutOfRange,
-                exceptions.NotFound,
-                exceptions.MethodNotAllowed,
-                exceptions.Conflict,
-                exceptions.AlreadyExists,
-                exceptions.Aborted,
-                exceptions.LengthRequired,
-                exceptions.PreconditionFailed,
-                exceptions.RequestRangeNotSatisfiable,
-                exceptions.Cancelled,
-            ],
-        }
diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml
deleted file mode 100644
index 32db6faf89..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: text-embedding-004
-model_type: text-embedding
-model_properties:
-  context_size: 2048
-pricing:
-  input: '0.00013'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml
deleted file mode 100644
index 2ec0eea9f2..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: text-multilingual-embedding-002
-model_type: text-embedding
-model_properties:
-  context_size: 2048
-pricing:
-  input: '0.00013'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py
deleted file mode 100644
index b8b0e5f15a..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,199 +0,0 @@
-import base64
-import json
-import time
-from decimal import Decimal
-from typing import TYPE_CHECKING, Optional
-
-import tiktoken
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    PriceConfig,
-    PriceType,
-)
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.vertex_ai._common import _CommonVertexAi
-
-if TYPE_CHECKING:
-    from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel
-else:
-    VertexTextEmbeddingModel = None
-
-
-class VertexAiTextEmbeddingModel(_CommonVertexAi, TextEmbeddingModel):
-    """
-    Model class for Vertex AI text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        from google.cloud import aiplatform
-        from google.oauth2 import service_account
-        from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel
-
-        service_account_key = credentials.get("vertex_service_account_key", "")
-        project_id = credentials["vertex_project_id"]
-        location = credentials["vertex_location"]
-        if service_account_key:
-            service_account_info = json.loads(base64.b64decode(service_account_key))
-            service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
-            aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
-        else:
-            aiplatform.init(project=project_id, location=location)
-
-        client = VertexTextEmbeddingModel.from_pretrained(model)
-
-        embeddings_batch, embedding_used_tokens = self._embedding_invoke(client=client, texts=texts)
-
-        # calc usage
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=embedding_used_tokens)
-
-        return TextEmbeddingResult(embeddings=embeddings_batch, usage=usage, model=model)
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-
-        try:
-            enc = tiktoken.encoding_for_model(model)
-        except KeyError:
-            enc = tiktoken.get_encoding("cl100k_base")
-
-        total_num_tokens = 0
-        for text in texts:
-            # calculate the number of tokens in the encoded text
-            tokenized_text = enc.encode(text)
-            total_num_tokens += len(tokenized_text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        from google.cloud import aiplatform
-        from google.oauth2 import service_account
-        from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel
-
-        try:
-            service_account_key = credentials.get("vertex_service_account_key", "")
-            project_id = credentials["vertex_project_id"]
-            location = credentials["vertex_location"]
-            if service_account_key:
-                service_account_info = json.loads(base64.b64decode(service_account_key))
-                service_accountSA = service_account.Credentials.from_service_account_info(service_account_info)
-                aiplatform.init(credentials=service_accountSA, project=project_id, location=location)
-            else:
-                aiplatform.init(project=project_id, location=location)
-
-            client = VertexTextEmbeddingModel.from_pretrained(model)
-
-            # call embedding model
-            self._embedding_invoke(model=model, client=client, texts=["ping"])
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _embedding_invoke(self, client: VertexTextEmbeddingModel, texts: list[str]) -> [list[float], int]:  # type: ignore
-        """
-        Invoke embedding model
-
-        :param model: model name
-        :param client: model client
-        :param texts: texts to embed
-        :return: embeddings and used tokens
-        """
-        response = client.get_embeddings(texts)
-
-        embeddings = []
-        token_usage = 0
-
-        for i in range(len(response)):
-            embeddings.append(response[i].values)
-            token_usage += int(response[i].statistics.token_count)
-
-        return embeddings, token_usage
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)),
-                ModelPropertyKey.MAX_CHUNKS: 1,
-            },
-            parameter_rules=[],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py b/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py
deleted file mode 100644
index 466a86fd36..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class VertexAiProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `gemini-1.0-pro-002` model for validate,
-            model_instance.validate_credentials(model="gemini-1.0-pro-002", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml b/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml
deleted file mode 100644
index 27a4d03fe2..0000000000
--- a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-provider: vertex_ai
-label:
-  en_US: Vertex AI | Google Cloud Platform
-description:
-  en_US: Vertex AI in Google Cloud Platform.
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#FCFDFF"
-help:
-  title:
-    en_US: Get your Access Details from Google
-  url:
-    en_US: https://cloud.google.com/vertex-ai/
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: vertex_project_id
-      label:
-        en_US: Project ID
-      type: text-input
-      required: true
-      placeholder:
-        en_US: Enter your Google Cloud Project ID
-    - variable: vertex_location
-      label:
-        en_US: Location
-      type: text-input
-      required: true
-      placeholder:
-        en_US: Enter your Google Cloud Location
-    - variable: vertex_service_account_key
-      label:
-        en_US: Service Account Key (Leave blank if you use Application Default Credentials)
-      type: secret-input
-      required: false
-      placeholder:
-        en_US: Enter your Google Cloud Service Account Key in base64 format
diff --git a/api/core/model_runtime/model_providers/vessl_ai/__init__.py b/api/core/model_runtime/model_providers/vessl_ai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_l_en.png
deleted file mode 100644
index 18ba350fa0c98f288a0511a9793873fe68532d20..0000000000000000000000000000000000000000
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diff --git a/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_s_en.svg
deleted file mode 100644
index 242f4e82b2..0000000000
--- a/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="1200" height="925" viewBox="0 0 1200 925" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M780.152 250.999L907.882 462.174C907.882 462.174 880.925 510.854 867.43 535.21C834.845 594.039 764.171 612.49 710.442 508.333L420.376 0H0L459.926 803.307C552.303 964.663 787.366 964.663 879.743 803.307C989.874 610.952 1089.87 441.97 1200 249.646L1052.28 0H639.519L780.152 250.999Z" fill="#3366FF"/>
-</svg>
diff --git a/api/core/model_runtime/model_providers/vessl_ai/llm/__init__.py b/api/core/model_runtime/model_providers/vessl_ai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py b/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py
deleted file mode 100644
index 782e4fd623..0000000000
--- a/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from decimal import Decimal
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-    PriceConfig,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class VesslAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.LLM,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            features=[],
-            model_properties={
-                ModelPropertyKey.MODE: credentials.get("mode"),
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name=DefaultParameterName.TEMPERATURE.value,
-                    label=I18nObject(en_US="Temperature"),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("temperature", 0.7)),
-                    min=0,
-                    max=2,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.TOP_P.value,
-                    label=I18nObject(en_US="Top P"),
-                    type=ParameterType.FLOAT,
-                    default=float(credentials.get("top_p", 1)),
-                    min=0,
-                    max=1,
-                    precision=2,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.TOP_K.value,
-                    label=I18nObject(en_US="Top K"),
-                    type=ParameterType.INT,
-                    default=int(credentials.get("top_k", 50)),
-                    min=-2147483647,
-                    max=2147483647,
-                    precision=0,
-                ),
-                ParameterRule(
-                    name=DefaultParameterName.MAX_TOKENS.value,
-                    label=I18nObject(en_US="Max Tokens"),
-                    type=ParameterType.INT,
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens_to_sample", 4096)),
-                ),
-            ],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                output=Decimal(credentials.get("output_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        if credentials["mode"] == "chat":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value
-        elif credentials["mode"] == "completion":
-            entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value
-        else:
-            raise ValueError(f"Unknown completion type {credentials['completion_type']}")
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py b/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py
deleted file mode 100644
index 7a987c6710..0000000000
--- a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class VesslAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml b/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml
deleted file mode 100644
index 2138b281b9..0000000000
--- a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml
+++ /dev/null
@@ -1,56 +0,0 @@
-provider: vessl_ai
-label:
-  en_US: VESSL AI
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.png
-background: "#F1EFED"
-help:
-  title:
-    en_US: How to deploy VESSL AI LLM Model Endpoint
-  url:
-    en_US: https://docs.vessl.ai/guides/get-started/llama3-deployment
-supported_model_types:
-  - llm
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-    placeholder:
-      en_US: Enter model name
-  credential_form_schemas:
-    - variable: endpoint_url
-      label:
-        en_US: Endpoint Url
-      type: text-input
-      required: true
-      placeholder:
-        en_US: Enter VESSL AI service endpoint url
-    - variable: api_key
-      required: true
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        en_US: Enter VESSL AI secret key
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        en_US: Completion Mode
-      type: select
-      required: false
-      default: chat
-      placeholder:
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-        - value: chat
-          label:
-            en_US: Chat
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg
deleted file mode 100644
index 616e90916b..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,23 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg viewBox="540.1546 563.7749 150.5263 25" xmlns="http://www.w3.org/2000/svg">
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-    <path fill="#00e5e5" d="M542.203 530.153l-8.564-37.188c-.218-.944.499-1.844 1.467-1.844h17.135c.968 0 1.684.9 1.467 1.844l-8.565 37.188c-.359 1.561-2.581 1.561-2.94 0"/>
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diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg
deleted file mode 100644
index 24b92195bd..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg
+++ /dev/null
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-  </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg
deleted file mode 100644
index e6454a89b7..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg viewBox="-0.006 0 24.6978 24.9156" xmlns="http://www.w3.org/2000/svg">
-  <path d="M20.511 15.3019L17.2442 28.1928C17.2362 28.2282 17.2364 28.2649 17.2447 28.3001C17.2531 28.3354 17.2694 28.3683 17.2923 28.3964C17.3153 28.4244 17.3444 28.4468 17.3773 28.4619C17.4103 28.477 17.4462 28.4844 17.4825 28.4835H24.0137C24.0499 28.4844 24.0859 28.477 24.1188 28.4619C24.1518 28.4468 24.1809 28.4244 24.2038 28.3964C24.2268 28.3683 24.2431 28.3354 24.2514 28.3001C24.2598 28.2649 24.26 28.2282 24.252 28.1928L20.9685 15.3019C20.9541 15.2524 20.924 15.209 20.8827 15.178C20.8415 15.1471 20.7913 15.1304 20.7397 15.1304C20.6882 15.1304 20.638 15.1471 20.5968 15.178C20.5555 15.209 20.5254 15.2524 20.511 15.3019V15.3019Z" fill="#00E5E5" transform="matrix(1.0178890228271484, 0, 0, 1.0178890228271484, -1.952212187461555e-7, -4.077521402283104)"/>
-  <path d="M2.53051 18.2228L-5.28338e-06 28.1924C-0.00799016 28.2277 -0.00780431 28.2644 0.000538111 28.2997C0.00888053 28.335 0.0251596 28.3679 0.0481365 28.3959C0.0711133 28.4239 0.100182 28.4464 0.133131 28.4615C0.166079 28.4766 0.202039 28.484 0.238273 28.4831H5.28025C5.31649 28.484 5.35245 28.4766 5.38539 28.4615C5.41834 28.4464 5.44741 28.4239 5.47039 28.3959C5.49336 28.3679 5.50964 28.335 5.51799 28.2997C5.52633 28.2644 5.52651 28.2277 5.51853 28.1924L2.98563 18.2228C2.97054 18.1742 2.94032 18.1318 2.89938 18.1016C2.85844 18.0714 2.80892 18.0552 2.75807 18.0552C2.70722 18.0552 2.6577 18.0714 2.61676 18.1016C2.57582 18.1318 2.5456 18.1742 2.53051 18.2228V18.2228Z" fill="#00E5E5" transform="matrix(1.0178890228271484, 0, 0, 1.0178890228271484, -1.952212187461555e-7, -4.077521402283104)"/>
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diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py
deleted file mode 100644
index a8a015167e..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/client.py
+++ /dev/null
@@ -1,214 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, cast
-
-from volcenginesdkarkruntime import Ark  # type: ignore
-from volcenginesdkarkruntime.types.chat import (  # type: ignore
-    ChatCompletion,
-    ChatCompletionAssistantMessageParam,
-    ChatCompletionChunk,
-    ChatCompletionContentPartImageParam,
-    ChatCompletionContentPartTextParam,
-    ChatCompletionMessageParam,
-    ChatCompletionMessageToolCallParam,
-    ChatCompletionSystemMessageParam,
-    ChatCompletionToolMessageParam,
-    ChatCompletionToolParam,
-    ChatCompletionUserMessageParam,
-)
-from volcenginesdkarkruntime.types.chat.chat_completion_content_part_image_param import ImageURL  # type: ignore
-from volcenginesdkarkruntime.types.chat.chat_completion_message_tool_call_param import Function  # type: ignore
-from volcenginesdkarkruntime.types.create_embedding_response import CreateEmbeddingResponse  # type: ignore
-from volcenginesdkarkruntime.types.shared_params import FunctionDefinition  # type: ignore
-
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-
-DEFAULT_V2_ENDPOINT = "maas-api.ml-platform-cn-beijing.volces.com"
-DEFAULT_V3_ENDPOINT = "https://ark.cn-beijing.volces.com/api/v3"
-
-
-class ArkClientV3:
-    endpoint_id: Optional[str] = None
-    ark: Optional[Ark] = None
-
-    def __init__(self, *args, **kwargs):
-        self.ark = Ark(*args, **kwargs)
-        self.endpoint_id = None
-
-    @staticmethod
-    def is_legacy(credentials: dict) -> bool:
-        # match default v2 endpoint
-        if ArkClientV3.is_compatible_with_legacy(credentials):
-            return False
-        # match default v3 endpoint
-        if credentials.get("api_endpoint_host") == DEFAULT_V3_ENDPOINT:
-            return False
-        # only v3 support api_key
-        if credentials.get("auth_method") == "api_key":
-            return False
-        # these cases are considered as sdk v2
-        # - modified default v2 endpoint
-        # - modified default v3 endpoint and auth without api_key
-        return True
-
-    @staticmethod
-    def is_compatible_with_legacy(credentials: dict) -> bool:
-        endpoint = credentials.get("api_endpoint_host")
-        return endpoint == DEFAULT_V2_ENDPOINT
-
-    @classmethod
-    def from_credentials(cls, credentials):
-        """Initialize the client using the credentials provided."""
-        args = {
-            "base_url": credentials["api_endpoint_host"],
-            "region": credentials["volc_region"],
-        }
-        if credentials.get("auth_method") == "api_key":
-            args = {
-                **args,
-                "api_key": credentials["volc_api_key"],
-            }
-        else:
-            args = {
-                **args,
-                "ak": credentials["volc_access_key_id"],
-                "sk": credentials["volc_secret_access_key"],
-            }
-
-        if cls.is_compatible_with_legacy(credentials):
-            args = {**args, "base_url": DEFAULT_V3_ENDPOINT}
-
-        client = ArkClientV3(**args)
-        client.endpoint_id = credentials["endpoint_id"]
-        return client
-
-    @staticmethod
-    def convert_prompt_message(message: PromptMessage) -> ChatCompletionMessageParam:
-        """Converts a PromptMessage to a ChatCompletionMessageParam"""
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                content = message.content
-            else:
-                content = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        content.append(
-                            ChatCompletionContentPartTextParam(
-                                text=message_content.data,
-                                type="text",
-                            )
-                        )
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        content.append(
-                            ChatCompletionContentPartImageParam(
-                                image_url=ImageURL(
-                                    url=message_content.data,
-                                    detail=message_content.detail.value,
-                                ),
-                                type="image_url",
-                            )
-                        )
-            message_dict = ChatCompletionUserMessageParam(role="user", content=content)
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = ChatCompletionAssistantMessageParam(
-                content=message.content,
-                role="assistant",
-                tool_calls=None
-                if not message.tool_calls
-                else [
-                    ChatCompletionMessageToolCallParam(
-                        id=call.id,
-                        function=Function(name=call.function.name, arguments=call.function.arguments),
-                        type="function",
-                    )
-                    for call in message.tool_calls
-                ],
-            )
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = ChatCompletionSystemMessageParam(content=message.content, role="system")
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = ChatCompletionToolMessageParam(
-                content=message.content, role="tool", tool_call_id=message.tool_call_id
-            )
-        else:
-            raise ValueError(f"Got unknown PromptMessage type {message}")
-
-        return message_dict
-
-    @staticmethod
-    def _convert_tool_prompt(message: PromptMessageTool) -> ChatCompletionToolParam:
-        return ChatCompletionToolParam(
-            type="function",
-            function=FunctionDefinition(
-                name=message.name,
-                description=message.description,
-                parameters=message.parameters,
-            ),
-        )
-
-    def chat(
-        self,
-        messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        frequency_penalty: Optional[float] = None,
-        max_tokens: Optional[int] = None,
-        presence_penalty: Optional[float] = None,
-        top_p: Optional[float] = None,
-        temperature: Optional[float] = None,
-    ) -> ChatCompletion:
-        """Block chat"""
-        return self.ark.chat.completions.create(
-            model=self.endpoint_id,
-            messages=[self.convert_prompt_message(message) for message in messages],
-            tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None,
-            stop=stop,
-            frequency_penalty=frequency_penalty,
-            max_tokens=max_tokens,
-            presence_penalty=presence_penalty,
-            top_p=top_p,
-            temperature=temperature,
-        )
-
-    def stream_chat(
-        self,
-        messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        frequency_penalty: Optional[float] = None,
-        max_tokens: Optional[int] = None,
-        presence_penalty: Optional[float] = None,
-        top_p: Optional[float] = None,
-        temperature: Optional[float] = None,
-    ) -> Generator[ChatCompletionChunk]:
-        """Stream chat"""
-        chunks = self.ark.chat.completions.create(
-            stream=True,
-            model=self.endpoint_id,
-            messages=[self.convert_prompt_message(message) for message in messages],
-            tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None,
-            stop=stop,
-            frequency_penalty=frequency_penalty,
-            max_tokens=max_tokens,
-            presence_penalty=presence_penalty,
-            top_p=top_p,
-            temperature=temperature,
-            stream_options={"include_usage": True},
-        )
-        yield from chunks
-
-    def embeddings(self, texts: list[str]) -> CreateEmbeddingResponse:
-        return self.ark.embeddings.create(model=self.endpoint_id, input=texts)
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py
deleted file mode 100644
index 0c61e19f06..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py
+++ /dev/null
@@ -1,128 +0,0 @@
-import re
-from collections.abc import Callable, Generator
-from typing import cast
-
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.model_providers.volcengine_maas.legacy.errors import wrap_error
-from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import ChatRole, MaasError, MaasService
-
-
-class MaaSClient(MaasService):
-    def __init__(self, host: str, region: str):
-        self.endpoint_id = None
-        super().__init__(host, region)
-
-    def set_endpoint_id(self, endpoint_id: str):
-        self.endpoint_id = endpoint_id
-
-    @classmethod
-    def from_credential(cls, credentials: dict) -> "MaaSClient":
-        host = credentials["api_endpoint_host"]
-        region = credentials["volc_region"]
-        ak = credentials["volc_access_key_id"]
-        sk = credentials["volc_secret_access_key"]
-        endpoint_id = credentials["endpoint_id"]
-
-        client = cls(host, region)
-        client.set_endpoint_id(endpoint_id)
-        client.set_ak(ak)
-        client.set_sk(sk)
-        return client
-
-    def chat(self, params: dict, messages: list[PromptMessage], stream=False, **extra_model_kwargs) -> Generator | dict:
-        req = {
-            "parameters": params,
-            "messages": [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages],
-            **extra_model_kwargs,
-        }
-        if not stream:
-            return super().chat(
-                self.endpoint_id,
-                req,
-            )
-        return super().stream_chat(
-            self.endpoint_id,
-            req,
-        )
-
-    def embeddings(self, texts: list[str]) -> dict:
-        req = {"input": texts}
-        return super().embeddings(self.endpoint_id, req)
-
-    @staticmethod
-    def convert_prompt_message_to_maas_message(message: PromptMessage) -> dict:
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": ChatRole.USER, "content": message.content}
-            else:
-                content = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        content.append(
-                            {
-                                "type": "text",
-                                "text": message_content.data,
-                            }
-                        )
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        image_data = re.sub(r"^data:image\/[a-zA-Z]+;base64,", "", message_content.data)
-                        content.append(
-                            {
-                                "type": "image_url",
-                                "image_url": {
-                                    "url": "",
-                                    "image_bytes": image_data,
-                                    "detail": message_content.detail,
-                                },
-                            }
-                        )
-
-                message_dict = {"role": ChatRole.USER, "content": content}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": ChatRole.ASSISTANT, "content": message.content}
-            if message.tool_calls:
-                message_dict["tool_calls"] = [
-                    {"name": call.function.name, "arguments": call.function.arguments} for call in message.tool_calls
-                ]
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": ChatRole.SYSTEM, "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {"role": ChatRole.FUNCTION, "content": message.content, "name": message.tool_call_id}
-        else:
-            raise ValueError(f"Got unknown PromptMessage type {message}")
-
-        return message_dict
-
-    @staticmethod
-    def wrap_exception(fn: Callable[[], dict | Generator]) -> dict | Generator:
-        try:
-            resp = fn()
-        except MaasError as e:
-            raise wrap_error(e)
-
-        return resp
-
-    @staticmethod
-    def transform_tool_prompt_to_maas_config(tool: PromptMessageTool):
-        return {
-            "type": "function",
-            "function": {
-                "name": tool.name,
-                "description": tool.description,
-                "parameters": tool.parameters,
-            },
-        }
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py
deleted file mode 100644
index aa837b8318..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py
+++ /dev/null
@@ -1,157 +0,0 @@
-from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import MaasError
-
-
-class ClientSDKRequestError(MaasError):
-    pass
-
-
-class SignatureDoesNotMatchError(MaasError):
-    pass
-
-
-class RequestTimeoutError(MaasError):
-    pass
-
-
-class ServiceConnectionTimeoutError(MaasError):
-    pass
-
-
-class MissingAuthenticationHeaderError(MaasError):
-    pass
-
-
-class AuthenticationHeaderIsInvalidError(MaasError):
-    pass
-
-
-class InternalServiceError(MaasError):
-    pass
-
-
-class MissingParameterError(MaasError):
-    pass
-
-
-class InvalidParameterError(MaasError):
-    pass
-
-
-class AuthenticationExpireError(MaasError):
-    pass
-
-
-class EndpointIsInvalidError(MaasError):
-    pass
-
-
-class EndpointIsNotEnableError(MaasError):
-    pass
-
-
-class ModelNotSupportStreamModeError(MaasError):
-    pass
-
-
-class ReqTextExistRiskError(MaasError):
-    pass
-
-
-class RespTextExistRiskError(MaasError):
-    pass
-
-
-class EndpointRateLimitExceededError(MaasError):
-    pass
-
-
-class ServiceConnectionRefusedError(MaasError):
-    pass
-
-
-class ServiceConnectionClosedError(MaasError):
-    pass
-
-
-class UnauthorizedUserForEndpointError(MaasError):
-    pass
-
-
-class InvalidEndpointWithNoURLError(MaasError):
-    pass
-
-
-class EndpointAccountRpmRateLimitExceededError(MaasError):
-    pass
-
-
-class EndpointAccountTpmRateLimitExceededError(MaasError):
-    pass
-
-
-class ServiceResourceWaitQueueFullError(MaasError):
-    pass
-
-
-class EndpointIsPendingError(MaasError):
-    pass
-
-
-class ServiceNotOpenError(MaasError):
-    pass
-
-
-AuthErrors = {
-    "SignatureDoesNotMatch": SignatureDoesNotMatchError,
-    "MissingAuthenticationHeader": MissingAuthenticationHeaderError,
-    "AuthenticationHeaderIsInvalid": AuthenticationHeaderIsInvalidError,
-    "AuthenticationExpire": AuthenticationExpireError,
-    "UnauthorizedUserForEndpoint": UnauthorizedUserForEndpointError,
-}
-
-BadRequestErrors = {
-    "MissingParameter": MissingParameterError,
-    "InvalidParameter": InvalidParameterError,
-    "EndpointIsInvalid": EndpointIsInvalidError,
-    "EndpointIsNotEnable": EndpointIsNotEnableError,
-    "ModelNotSupportStreamMode": ModelNotSupportStreamModeError,
-    "ReqTextExistRisk": ReqTextExistRiskError,
-    "RespTextExistRisk": RespTextExistRiskError,
-    "InvalidEndpointWithNoURL": InvalidEndpointWithNoURLError,
-    "ServiceNotOpen": ServiceNotOpenError,
-}
-
-RateLimitErrors = {
-    "EndpointRateLimitExceeded": EndpointRateLimitExceededError,
-    "EndpointAccountRpmRateLimitExceeded": EndpointAccountRpmRateLimitExceededError,
-    "EndpointAccountTpmRateLimitExceeded": EndpointAccountTpmRateLimitExceededError,
-}
-
-ServerUnavailableErrors = {
-    "InternalServiceError": InternalServiceError,
-    "EndpointIsPending": EndpointIsPendingError,
-    "ServiceResourceWaitQueueFull": ServiceResourceWaitQueueFullError,
-}
-
-ConnectionErrors = {
-    "ClientSDKRequestError": ClientSDKRequestError,
-    "RequestTimeout": RequestTimeoutError,
-    "ServiceConnectionTimeout": ServiceConnectionTimeoutError,
-    "ServiceConnectionRefused": ServiceConnectionRefusedError,
-    "ServiceConnectionClosed": ServiceConnectionClosedError,
-}
-
-ErrorCodeMap = {
-    **AuthErrors,
-    **BadRequestErrors,
-    **RateLimitErrors,
-    **ServerUnavailableErrors,
-    **ConnectionErrors,
-}
-
-
-def wrap_error(e: MaasError) -> Exception:
-    if ErrorCodeMap.get(e.code):
-        # FIXME: mypy type error, try to fix it instead of using type: ignore
-        return ErrorCodeMap.get(e.code)(e.code_n, e.code, e.message, e.req_id)  # type: ignore
-    return e
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py
deleted file mode 100644
index 2a269557f2..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .common import ChatRole
-from .maas import MaasError, MaasService
-
-__all__ = ["ChatRole", "MaasError", "MaasService"]
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py
deleted file mode 100644
index c22bf8e76d..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py
+++ /dev/null
@@ -1,159 +0,0 @@
-# coding : utf-8
-import datetime
-from itertools import starmap
-
-import pytz
-
-from .util import Util
-
-
-class MetaData:
-    def __init__(self):
-        self.algorithm = ""
-        self.credential_scope = ""
-        self.signed_headers = ""
-        self.date = ""
-        self.region = ""
-        self.service = ""
-
-    def set_date(self, date):
-        self.date = date
-
-    def set_service(self, service):
-        self.service = service
-
-    def set_region(self, region):
-        self.region = region
-
-    def set_algorithm(self, algorithm):
-        self.algorithm = algorithm
-
-    def set_credential_scope(self, credential_scope):
-        self.credential_scope = credential_scope
-
-    def set_signed_headers(self, signed_headers):
-        self.signed_headers = signed_headers
-
-
-class SignResult:
-    def __init__(self):
-        self.xdate = ""
-        self.xCredential = ""
-        self.xAlgorithm = ""
-        self.xSignedHeaders = ""
-        self.xSignedQueries = ""
-        self.xSignature = ""
-        self.xContextSha256 = ""
-        self.xSecurityToken = ""
-
-        self.authorization = ""
-
-    def __str__(self):
-        return "\n".join(list(starmap("{}:{}".format, self.__dict__.items())))
-
-
-class Credentials:
-    def __init__(self, ak, sk, service, region, session_token=""):
-        self.ak = ak
-        self.sk = sk
-        self.service = service
-        self.region = region
-        self.session_token = session_token
-
-    def set_ak(self, ak):
-        self.ak = ak
-
-    def set_sk(self, sk):
-        self.sk = sk
-
-    def set_session_token(self, session_token):
-        self.session_token = session_token
-
-
-class Signer:
-    @staticmethod
-    def sign(request, credentials):
-        if request.path == "":
-            request.path = "/"
-        if request.method != "GET" and "Content-Type" not in request.headers:
-            request.headers["Content-Type"] = "application/x-www-form-urlencoded; charset=utf-8"
-
-        format_date = Signer.get_current_format_date()
-        request.headers["X-Date"] = format_date
-        if credentials.session_token != "":
-            request.headers["X-Security-Token"] = credentials.session_token
-
-        md = MetaData()
-        md.set_algorithm("HMAC-SHA256")
-        md.set_service(credentials.service)
-        md.set_region(credentials.region)
-        md.set_date(format_date[:8])
-
-        hashed_canon_req = Signer.hashed_canonical_request_v4(request, md)
-        md.set_credential_scope("/".join([md.date, md.region, md.service, "request"]))
-
-        signing_str = "\n".join([md.algorithm, format_date, md.credential_scope, hashed_canon_req])
-        signing_key = Signer.get_signing_secret_key_v4(credentials.sk, md.date, md.region, md.service)
-        sign = Util.to_hex(Util.hmac_sha256(signing_key, signing_str))
-        request.headers["Authorization"] = Signer.build_auth_header_v4(sign, md, credentials)
-
-    @staticmethod
-    def hashed_canonical_request_v4(request, meta):
-        body_hash = Util.sha256(request.body)
-        request.headers["X-Content-Sha256"] = body_hash
-
-        signed_headers = {}
-        for key in request.headers:
-            if key in {"Content-Type", "Content-Md5", "Host"} or key.startswith("X-"):
-                signed_headers[key.lower()] = request.headers[key]
-
-        if "host" in signed_headers:
-            v = signed_headers["host"]
-            if v.find(":") != -1:
-                split = v.split(":")
-                port = split[1]
-                if str(port) == "80" or str(port) == "443":
-                    signed_headers["host"] = split[0]
-
-        signed_str = ""
-        for key in sorted(signed_headers.keys()):
-            signed_str += key + ":" + signed_headers[key] + "\n"
-
-        meta.set_signed_headers(";".join(sorted(signed_headers.keys())))
-
-        canonical_request = "\n".join(
-            [
-                request.method,
-                Util.norm_uri(request.path),
-                Util.norm_query(request.query),
-                signed_str,
-                meta.signed_headers,
-                body_hash,
-            ]
-        )
-
-        return Util.sha256(canonical_request)
-
-    @staticmethod
-    def get_signing_secret_key_v4(sk, date, region, service):
-        date = Util.hmac_sha256(bytes(sk, encoding="utf-8"), date)
-        region = Util.hmac_sha256(date, region)
-        service = Util.hmac_sha256(region, service)
-        return Util.hmac_sha256(service, "request")
-
-    @staticmethod
-    def build_auth_header_v4(signature, meta, credentials):
-        credential = credentials.ak + "/" + meta.credential_scope
-        return (
-            meta.algorithm
-            + " Credential="
-            + credential
-            + ", SignedHeaders="
-            + meta.signed_headers
-            + ", Signature="
-            + signature
-        )
-
-    @staticmethod
-    def get_current_format_date():
-        return datetime.datetime.now(tz=pytz.timezone("UTC")).strftime("%Y%m%dT%H%M%SZ")
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py
deleted file mode 100644
index 33c41f3eb3..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py
+++ /dev/null
@@ -1,216 +0,0 @@
-import json
-from collections import OrderedDict
-from urllib.parse import urlencode
-
-import requests
-
-from .auth import Signer
-
-VERSION = "v1.0.137"
-
-
-class Service:
-    def __init__(self, service_info, api_info):
-        self.service_info = service_info
-        self.api_info = api_info
-        self.session = requests.session()
-
-    def set_ak(self, ak):
-        self.service_info.credentials.set_ak(ak)
-
-    def set_sk(self, sk):
-        self.service_info.credentials.set_sk(sk)
-
-    def set_session_token(self, session_token):
-        self.service_info.credentials.set_session_token(session_token)
-
-    def set_host(self, host):
-        self.service_info.host = host
-
-    def set_scheme(self, scheme):
-        self.service_info.scheme = scheme
-
-    def get(self, api, params, doseq=0):
-        if api not in self.api_info:
-            raise Exception("no such api")
-        api_info = self.api_info[api]
-
-        r = self.prepare_request(api_info, params, doseq)
-
-        Signer.sign(r, self.service_info.credentials)
-
-        url = r.build(doseq)
-        resp = self.session.get(
-            url, headers=r.headers, timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout)
-        )
-        if resp.status_code == 200:
-            return resp.text
-        else:
-            raise Exception(resp.text)
-
-    def post(self, api, params, form):
-        if api not in self.api_info:
-            raise Exception("no such api")
-        api_info = self.api_info[api]
-        r = self.prepare_request(api_info, params)
-        r.headers["Content-Type"] = "application/x-www-form-urlencoded"
-        r.form = self.merge(api_info.form, form)
-        r.body = urlencode(r.form, True)
-        Signer.sign(r, self.service_info.credentials)
-
-        url = r.build()
-
-        resp = self.session.post(
-            url,
-            headers=r.headers,
-            data=r.form,
-            timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout),
-        )
-        if resp.status_code == 200:
-            return resp.text
-        else:
-            raise Exception(resp.text)
-
-    def json(self, api, params, body):
-        if api not in self.api_info:
-            raise Exception("no such api")
-        api_info = self.api_info[api]
-        r = self.prepare_request(api_info, params)
-        r.headers["Content-Type"] = "application/json"
-        r.body = body
-
-        Signer.sign(r, self.service_info.credentials)
-
-        url = r.build()
-        resp = self.session.post(
-            url,
-            headers=r.headers,
-            data=r.body,
-            timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout),
-        )
-        if resp.status_code == 200:
-            return json.dumps(resp.json())
-        else:
-            raise Exception(resp.text.encode("utf-8"))
-
-    def put(self, url, file_path, headers):
-        with open(file_path, "rb") as f:
-            resp = self.session.put(url, headers=headers, data=f)
-            if resp.status_code == 200:
-                return True, resp.text.encode("utf-8")
-            else:
-                return False, resp.text.encode("utf-8")
-
-    def put_data(self, url, data, headers):
-        resp = self.session.put(url, headers=headers, data=data)
-        if resp.status_code == 200:
-            return True, resp.text.encode("utf-8")
-        else:
-            return False, resp.text.encode("utf-8")
-
-    def prepare_request(self, api_info, params, doseq=0):
-        for key in params:
-            if type(params[key]) == int or type(params[key]) == float or type(params[key]) == bool:
-                params[key] = str(params[key])
-            elif type(params[key]) == list:
-                if not doseq:
-                    params[key] = ",".join(params[key])
-
-        connection_timeout = self.service_info.connection_timeout
-        socket_timeout = self.service_info.socket_timeout
-
-        r = Request()
-        r.set_schema(self.service_info.scheme)
-        r.set_method(api_info.method)
-        r.set_connection_timeout(connection_timeout)
-        r.set_socket_timeout(socket_timeout)
-
-        headers = self.merge(api_info.header, self.service_info.header)
-        headers["Host"] = self.service_info.host
-        headers["User-Agent"] = "volc-sdk-python/" + VERSION
-        r.set_headers(headers)
-
-        query = self.merge(api_info.query, params)
-        r.set_query(query)
-
-        r.set_host(self.service_info.host)
-        r.set_path(api_info.path)
-
-        return r
-
-    @staticmethod
-    def merge(param1, param2):
-        od = OrderedDict()
-        for key in param1:
-            od[key] = param1[key]
-
-        for key in param2:
-            od[key] = param2[key]
-
-        return od
-
-
-class Request:
-    def __init__(self):
-        self.schema = ""
-        self.method = ""
-        self.host = ""
-        self.path = ""
-        self.headers = OrderedDict()
-        self.query = OrderedDict()
-        self.body = ""
-        self.form = {}
-        self.connection_timeout = 0
-        self.socket_timeout = 0
-
-    def set_schema(self, schema):
-        self.schema = schema
-
-    def set_method(self, method):
-        self.method = method
-
-    def set_host(self, host):
-        self.host = host
-
-    def set_path(self, path):
-        self.path = path
-
-    def set_headers(self, headers):
-        self.headers = headers
-
-    def set_query(self, query):
-        self.query = query
-
-    def set_body(self, body):
-        self.body = body
-
-    def set_connection_timeout(self, connection_timeout):
-        self.connection_timeout = connection_timeout
-
-    def set_socket_timeout(self, socket_timeout):
-        self.socket_timeout = socket_timeout
-
-    def build(self, doseq=0):
-        return self.schema + "://" + self.host + self.path + "?" + urlencode(self.query, doseq)
-
-
-class ServiceInfo:
-    def __init__(self, host, header, credentials, connection_timeout, socket_timeout, scheme="http"):
-        self.host = host
-        self.header = header
-        self.credentials = credentials
-        self.connection_timeout = connection_timeout
-        self.socket_timeout = socket_timeout
-        self.scheme = scheme
-
-
-class ApiInfo:
-    def __init__(self, method, path, query, form, header):
-        self.method = method
-        self.path = path
-        self.query = query
-        self.form = form
-        self.header = header
-
-    def __str__(self):
-        return "method: " + self.method + ", path: " + self.path
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py
deleted file mode 100644
index 178d63714e..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import hashlib
-import hmac
-import operator
-from functools import reduce
-from urllib.parse import quote
-
-
-class Util:
-    @staticmethod
-    def norm_uri(path):
-        return quote(path).replace("%2F", "/").replace("+", "%20")
-
-    @staticmethod
-    def norm_query(params):
-        query = ""
-        for key in sorted(params.keys()):
-            if type(params[key]) == list:
-                for k in params[key]:
-                    query = query + quote(key, safe="-_.~") + "=" + quote(k, safe="-_.~") + "&"
-            else:
-                query = query + quote(key, safe="-_.~") + "=" + quote(params[key], safe="-_.~") + "&"
-        query = query[:-1]
-        return query.replace("+", "%20")
-
-    @staticmethod
-    def hmac_sha256(key, content):
-        return hmac.new(key, bytes(content, encoding="utf-8"), hashlib.sha256).digest()
-
-    @staticmethod
-    def sha256(content):
-        if isinstance(content, str) is True:
-            return hashlib.sha256(content.encode("utf-8")).hexdigest()
-        else:
-            return hashlib.sha256(content).hexdigest()
-
-    @staticmethod
-    def to_hex(content):
-        lst = []
-        for ch in content:
-            hv = hex(ch).replace("0x", "")
-            if len(hv) == 1:
-                hv = "0" + hv
-            lst.append(hv)
-        return reduce(operator.add, lst)
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py
deleted file mode 100644
index 0bfb18cda6..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import json
-import random
-from collections import UserDict
-from datetime import datetime
-
-
-class ChatRole:
-    USER = "user"
-    ASSISTANT = "assistant"
-    SYSTEM = "system"
-    FUNCTION = "function"
-
-
-class _Dict(UserDict):
-    __setattr__ = UserDict.__setitem__
-    __getattr__ = UserDict.__getitem__
-
-    def __missing__(self, key):
-        return None
-
-
-def dict_to_object(dict_obj):
-    # 支持嵌套类型
-    if isinstance(dict_obj, list):
-        insts = []
-        for i in dict_obj:
-            insts.append(dict_to_object(i))
-        return insts
-
-    if isinstance(dict_obj, dict):
-        inst = _Dict()
-        for k, v in dict_obj.items():
-            inst[k] = dict_to_object(v)
-        return inst
-
-    return dict_obj
-
-
-def json_to_object(json_str, req_id=None):
-    obj = dict_to_object(json.loads(json_str))
-    if obj and isinstance(obj, dict) and req_id:
-        obj["req_id"] = req_id
-    return obj
-
-
-def gen_req_id():
-    return datetime.now().strftime("%Y%m%d%H%M%S") + format(random.randint(0, 2**64 - 1), "020X")
-
-
-class SSEDecoder:
-    def __init__(self, source):
-        self.source = source
-
-    def _read(self):
-        data = b""
-        for chunk in self.source:
-            for line in chunk.splitlines(True):
-                data += line
-                if data.endswith((b"\r\r", b"\n\n", b"\r\n\r\n")):
-                    yield data
-                    data = b""
-        if data:
-            yield data
-
-    def next(self):
-        for chunk in self._read():
-            for line in chunk.splitlines():
-                # skip comment
-                if line.startswith(b":"):
-                    continue
-
-                if b":" in line:
-                    field, value = line.split(b":", 1)
-                else:
-                    field, value = line, b""
-
-                if field == b"data" and len(value) > 0:
-                    yield value
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py
deleted file mode 100644
index a3836685f1..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py
+++ /dev/null
@@ -1,198 +0,0 @@
-import copy
-import json
-from collections.abc import Iterator
-
-from .base.auth import Credentials, Signer
-from .base.service import ApiInfo, Service, ServiceInfo
-from .common import SSEDecoder, dict_to_object, gen_req_id, json_to_object
-
-
-class MaasService(Service):
-    def __init__(self, host, region, connection_timeout=60, socket_timeout=60):
-        service_info = self.get_service_info(host, region, connection_timeout, socket_timeout)
-        self._apikey = None
-        api_info = self.get_api_info()
-        super().__init__(service_info, api_info)
-
-    def set_apikey(self, apikey):
-        self._apikey = apikey
-
-    @staticmethod
-    def get_service_info(host, region, connection_timeout, socket_timeout):
-        service_info = ServiceInfo(
-            host,
-            {"Accept": "application/json"},
-            Credentials("", "", "ml_maas", region),
-            connection_timeout,
-            socket_timeout,
-            "https",
-        )
-        return service_info
-
-    @staticmethod
-    def get_api_info():
-        api_info = {
-            "chat": ApiInfo("POST", "/api/v2/endpoint/{endpoint_id}/chat", {}, {}, {}),
-            "embeddings": ApiInfo("POST", "/api/v2/endpoint/{endpoint_id}/embeddings", {}, {}, {}),
-        }
-        return api_info
-
-    def chat(self, endpoint_id, req):
-        req["stream"] = False
-        return self._request(endpoint_id, "chat", req)
-
-    def stream_chat(self, endpoint_id, req):
-        req_id = gen_req_id()
-        self._validate("chat", req_id)
-        apikey = self._apikey
-
-        try:
-            req["stream"] = True
-            res = self._call(endpoint_id, "chat", req_id, {}, json.dumps(req).encode("utf-8"), apikey, stream=True)
-
-            decoder = SSEDecoder(res)
-
-            def iter_fn():
-                for data in decoder.next():
-                    if data == b"[DONE]":
-                        return
-
-                    try:
-                        res = json_to_object(str(data, encoding="utf-8"), req_id=req_id)
-                    except Exception:
-                        raise
-
-                    if res.error is not None and res.error.code_n != 0:
-                        raise MaasError(
-                            res.error.code_n,
-                            res.error.code,
-                            res.error.message,
-                            req_id,
-                        )
-                    yield res
-
-            return iter_fn()
-        except MaasError:
-            raise
-        except Exception as e:
-            raise new_client_sdk_request_error(str(e))
-
-    def embeddings(self, endpoint_id, req):
-        return self._request(endpoint_id, "embeddings", req)
-
-    def _request(self, endpoint_id, api, req, params={}):
-        req_id = gen_req_id()
-
-        self._validate(api, req_id)
-
-        apikey = self._apikey
-
-        try:
-            res = self._call(endpoint_id, api, req_id, params, json.dumps(req).encode("utf-8"), apikey)
-            resp = dict_to_object(res.json())
-            if resp and isinstance(resp, dict):
-                resp["req_id"] = req_id
-            return resp
-
-        except MaasError as e:
-            raise e
-        except Exception as e:
-            raise new_client_sdk_request_error(str(e), req_id)
-
-    def _validate(self, api, req_id):
-        credentials_exist = (
-            self.service_info.credentials is not None
-            and self.service_info.credentials.sk is not None
-            and self.service_info.credentials.ak is not None
-        )
-
-        if not self._apikey and not credentials_exist:
-            raise new_client_sdk_request_error("no valid credential", req_id)
-
-        if api not in self.api_info:
-            raise new_client_sdk_request_error("no such api", req_id)
-
-    def _call(self, endpoint_id, api, req_id, params, body, apikey=None, stream=False):
-        api_info = copy.deepcopy(self.api_info[api])
-        api_info.path = api_info.path.format(endpoint_id=endpoint_id)
-
-        r = self.prepare_request(api_info, params)
-        r.headers["x-tt-logid"] = req_id
-        r.headers["Content-Type"] = "application/json"
-        r.body = body
-
-        if apikey is None:
-            Signer.sign(r, self.service_info.credentials)
-        elif apikey is not None:
-            r.headers["Authorization"] = "Bearer " + apikey
-
-        url = r.build()
-        res = self.session.post(
-            url,
-            headers=r.headers,
-            data=r.body,
-            timeout=(
-                self.service_info.connection_timeout,
-                self.service_info.socket_timeout,
-            ),
-            stream=stream,
-        )
-
-        if res.status_code != 200:
-            raw = res.text.encode()
-            res.close()
-            try:
-                resp = json_to_object(str(raw, encoding="utf-8"), req_id=req_id)
-            except Exception:
-                raise new_client_sdk_request_error(raw, req_id)
-
-            if resp.error:
-                raise MaasError(resp.error.code_n, resp.error.code, resp.error.message, req_id)
-            else:
-                raise new_client_sdk_request_error(resp, req_id)
-
-        return res
-
-
-class MaasError(Exception):
-    def __init__(self, code_n, code, message, req_id):
-        self.code_n = code_n
-        self.code = code
-        self.message = message
-        self.req_id = req_id
-
-    def __str__(self):
-        return (
-            "Detailed exception information is listed below.\n"
-            + "req_id: {}\n"
-            + "code_n: {}\n"
-            + "code: {}\n"
-            + "message: {}"
-        ).format(self.req_id, self.code_n, self.code, self.message)
-
-
-def new_client_sdk_request_error(raw, req_id=""):
-    return MaasError(1709701, "ClientSDKRequestError", "MaaS SDK request error: {}".format(raw), req_id)
-
-
-class BinaryResponseContent:
-    def __init__(self, response, request_id) -> None:
-        self.response = response
-        self.request_id = request_id
-
-    def stream_to_file(self, file: str) -> None:
-        is_first = True
-        error_bytes = b""
-        with open(file, mode="wb") as f:
-            for data in self.response:
-                if len(error_bytes) > 0 or (is_first and '"error":' in str(data)):
-                    error_bytes += data
-                else:
-                    f.write(data)
-
-        if len(error_bytes) > 0:
-            resp = json_to_object(str(error_bytes, encoding="utf-8"), req_id=self.request_id)
-            raise MaasError(resp.error.code_n, resp.error.code, resp.error.message, self.request_id)
-
-    def iter_bytes(self) -> Iterator[bytes]:
-        yield from self.response
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
deleted file mode 100644
index ac2805f7d4..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py
+++ /dev/null
@@ -1,429 +0,0 @@
-import logging
-from collections.abc import Generator
-from typing import Optional
-
-from volcenginesdkarkruntime.types.chat import ChatCompletion, ChatCompletionChunk  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3
-from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient
-from core.model_runtime.model_providers.volcengine_maas.legacy.errors import (
-    AuthErrors,
-    BadRequestErrors,
-    ConnectionErrors,
-    MaasError,
-    RateLimitErrors,
-    ServerUnavailableErrors,
-)
-from core.model_runtime.model_providers.volcengine_maas.llm.models import (
-    get_model_config,
-    get_v2_req_params,
-    get_v3_req_params,
-)
-
-logger = logging.getLogger(__name__)
-
-
-class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        if ArkClientV3.is_legacy(credentials):
-            return self._generate_v2(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-        return self._generate_v3(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate credentials
-        """
-        if ArkClientV3.is_legacy(credentials):
-            return self._validate_credentials_v2(credentials)
-        return self._validate_credentials_v3(credentials)
-
-    @staticmethod
-    def _validate_credentials_v2(credentials: dict) -> None:
-        client = MaaSClient.from_credential(credentials)
-        try:
-            client.chat(
-                {
-                    "max_new_tokens": 16,
-                    "temperature": 0.7,
-                    "top_p": 0.9,
-                    "top_k": 15,
-                },
-                [UserPromptMessage(content="ping\nAnswer: ")],
-            )
-        except MaasError as e:
-            raise CredentialsValidateFailedError(e.message)
-
-    @staticmethod
-    def _validate_credentials_v3(credentials: dict) -> None:
-        client = ArkClientV3.from_credentials(credentials)
-        try:
-            client.chat(
-                max_tokens=16,
-                temperature=0.7,
-                top_p=0.9,
-                messages=[UserPromptMessage(content="ping\nAnswer: ")],
-            )
-        except Exception as e:
-            raise CredentialsValidateFailedError(e)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        if ArkClientV3.is_legacy(credentials):
-            return self._get_num_tokens_v2(prompt_messages)
-        return self._get_num_tokens_v3(prompt_messages)
-
-    def _get_num_tokens_v2(self, messages: list[PromptMessage]) -> int:
-        if len(messages) == 0:
-            return 0
-        num_tokens = 0
-        messages_dict = [MaaSClient.convert_prompt_message_to_maas_message(m) for m in messages]
-        for message in messages_dict:
-            for key, value in message.items():
-                num_tokens += self._get_num_tokens_by_gpt2(str(key))
-                num_tokens += self._get_num_tokens_by_gpt2(str(value))
-
-        return num_tokens
-
-    def _get_num_tokens_v3(self, messages: list[PromptMessage]) -> int:
-        if len(messages) == 0:
-            return 0
-        num_tokens = 0
-        messages_dict = [ArkClientV3.convert_prompt_message(m) for m in messages]
-        for message in messages_dict:
-            for key, value in message.items():
-                # Ignore tokens for image type
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-                num_tokens += self._get_num_tokens_by_gpt2(str(key))
-                num_tokens += self._get_num_tokens_by_gpt2(str(value))
-
-        return num_tokens
-
-    def _generate_v2(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        client = MaaSClient.from_credential(credentials)
-        req_params = get_v2_req_params(credentials, model_parameters, stop)
-        extra_model_kwargs = {}
-        if tools:
-            extra_model_kwargs["tools"] = [MaaSClient.transform_tool_prompt_to_maas_config(tool) for tool in tools]
-        resp = MaaSClient.wrap_exception(lambda: client.chat(req_params, prompt_messages, stream, **extra_model_kwargs))
-
-        def _handle_stream_chat_response() -> Generator:
-            for index, r in enumerate(resp):
-                choices = r["choices"]
-                if not choices:
-                    continue
-                choice = choices[0]
-                message = choice["message"]
-                usage = None
-                if r.get("usage"):
-                    usage = self._calc_response_usage(
-                        model=model,
-                        credentials=credentials,
-                        prompt_tokens=r["usage"]["prompt_tokens"],
-                        completion_tokens=r["usage"]["completion_tokens"],
-                    )
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=index,
-                        message=AssistantPromptMessage(content=message["content"] or "", tool_calls=[]),
-                        usage=usage,
-                        finish_reason=choice.get("finish_reason"),
-                    ),
-                )
-
-        def _handle_chat_response() -> LLMResult:
-            choices = resp["choices"]
-            if not choices:
-                raise ValueError("No choices found")
-
-            choice = choices[0]
-            message = choice["message"]
-
-            # parse tool calls
-            tool_calls = []
-            if message["tool_calls"]:
-                for call in message["tool_calls"]:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=call["function"]["name"],
-                        type=call["type"],
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                            name=call["function"]["name"], arguments=call["function"]["arguments"]
-                        ),
-                    )
-                    tool_calls.append(tool_call)
-
-            usage = resp["usage"]
-            return LLMResult(
-                model=model,
-                prompt_messages=prompt_messages,
-                message=AssistantPromptMessage(
-                    content=message["content"] or "",
-                    tool_calls=tool_calls,
-                ),
-                usage=self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=usage["prompt_tokens"],
-                    completion_tokens=usage["completion_tokens"],
-                ),
-            )
-
-        if not stream:
-            return _handle_chat_response()
-        return _handle_stream_chat_response()
-
-    def wrap_thinking(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
-        content = ""
-        reasoning_content = None
-        if hasattr(delta, "content"):
-            content = delta.content
-        if hasattr(delta, "reasoning_content"):
-            reasoning_content = delta.reasoning_content
-        return self._wrap_thinking_by_reasoning_content(
-            {"content": content, "reasoning_content": reasoning_content}, is_reasoning
-        )
-
-    def _generate_v3(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        client = ArkClientV3.from_credentials(credentials)
-        req_params = get_v3_req_params(credentials, model_parameters, stop)
-        if tools:
-            req_params["tools"] = tools
-
-        def _handle_stream_chat_response(chunks: Generator[ChatCompletionChunk]) -> Generator:
-            is_reasoning_started = False
-            for chunk in chunks:
-                content = ""
-                if chunk.choices:
-                    delta = chunk.choices[0].delta
-                    content, is_reasoning_started = self.wrap_thinking(delta, is_reasoning_started)
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=content, tool_calls=[]),
-                        usage=self._calc_response_usage(
-                            model=model,
-                            credentials=credentials,
-                            prompt_tokens=chunk.usage.prompt_tokens,
-                            completion_tokens=chunk.usage.completion_tokens,
-                        )
-                        if chunk.usage
-                        else None,
-                        finish_reason=chunk.choices[0].finish_reason if chunk.choices else None,
-                    ),
-                )
-
-        def _handle_chat_response(resp: ChatCompletion) -> LLMResult:
-            choice = resp.choices[0]
-            message = choice.message
-            # parse tool calls
-            tool_calls = []
-            if message.tool_calls:
-                for call in message.tool_calls:
-                    tool_call = AssistantPromptMessage.ToolCall(
-                        id=call.id,
-                        type=call.type,
-                        function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                            name=call.function.name, arguments=call.function.arguments
-                        ),
-                    )
-                    tool_calls.append(tool_call)
-
-            usage = resp.usage
-            return LLMResult(
-                model=model,
-                prompt_messages=prompt_messages,
-                message=AssistantPromptMessage(
-                    content=message.content or "",
-                    tool_calls=tool_calls,
-                ),
-                usage=self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=usage.prompt_tokens,
-                    completion_tokens=usage.completion_tokens,
-                ),
-            )
-
-        if not stream:
-            resp = client.chat(prompt_messages, **req_params)
-            return _handle_chat_response(resp)
-
-        chunks = client.stream_chat(prompt_messages, **req_params)
-        return _handle_stream_chat_response(chunks)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        model_config = get_model_config(credentials)
-
-        if model.startswith("DeepSeek-R1"):
-            rules = [
-                ParameterRule(
-                    name="max_tokens",
-                    type=ParameterType.INT,
-                    use_template="max_tokens",
-                    min=1,
-                    max=model_config.properties.max_tokens,
-                    default=512,
-                    label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-                ),
-            ]
-        else:
-            rules = [
-                ParameterRule(
-                    name="temperature",
-                    type=ParameterType.FLOAT,
-                    use_template="temperature",
-                    label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-                ),
-                ParameterRule(
-                    name="top_p",
-                    type=ParameterType.FLOAT,
-                    use_template="top_p",
-                    label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-                ),
-                ParameterRule(
-                    name="top_k",
-                    type=ParameterType.INT,
-                    min=1,
-                    default=1,
-                    label=I18nObject(zh_Hans="Top K", en_US="Top K"),
-                ),
-                ParameterRule(
-                    name="presence_penalty",
-                    type=ParameterType.FLOAT,
-                    use_template="presence_penalty",
-                    label=I18nObject(
-                        en_US="Presence Penalty",
-                        zh_Hans="存在惩罚",
-                    ),
-                    min=-2.0,
-                    max=2.0,
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    type=ParameterType.FLOAT,
-                    use_template="frequency_penalty",
-                    label=I18nObject(
-                        en_US="Frequency Penalty",
-                        zh_Hans="频率惩罚",
-                    ),
-                    min=-2.0,
-                    max=2.0,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    type=ParameterType.INT,
-                    use_template="max_tokens",
-                    min=1,
-                    max=model_config.properties.max_tokens,
-                    default=512,
-                    label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-                ),
-            ]
-
-        model_properties = {}
-        model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size
-        model_properties[ModelPropertyKey.MODE] = model_config.properties.mode.value
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            model_properties=model_properties,
-            parameter_rules=rules,
-            features=model_config.features,
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: ConnectionErrors.values(),
-            InvokeServerUnavailableError: ServerUnavailableErrors.values(),
-            InvokeRateLimitError: RateLimitErrors.values(),
-            InvokeAuthorizationError: AuthErrors.values(),
-            InvokeBadRequestError: BadRequestErrors.values(),
-        }
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
deleted file mode 100644
index 6a2b0e5087..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py
+++ /dev/null
@@ -1,193 +0,0 @@
-from typing import Any
-
-from pydantic import BaseModel
-
-from core.model_runtime.entities.llm_entities import LLMMode
-from core.model_runtime.entities.model_entities import ModelFeature
-
-
-class ModelProperties(BaseModel):
-    context_size: int
-    max_tokens: int
-    mode: LLMMode
-
-
-class ModelConfig(BaseModel):
-    properties: ModelProperties
-    features: list[ModelFeature]
-
-
-configs: dict[str, ModelConfig] = {
-    "DeepSeek-R1-Distill-Qwen-32B": ModelConfig(
-        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "DeepSeek-R1-Distill-Qwen-7B": ModelConfig(
-        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "DeepSeek-R1": ModelConfig(
-        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "DeepSeek-V3": ModelConfig(
-        properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL, ModelFeature.STREAM_TOOL_CALL],
-    ),
-    "Doubao-1.5-vision-pro-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
-    ),
-    "Doubao-1.5-pro-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Doubao-1.5-lite-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Doubao-1.5-pro-256k": ModelConfig(
-        properties=ModelProperties(context_size=262144, max_tokens=12288, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Doubao-vision-pro-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
-    ),
-    "Doubao-vision-lite-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION],
-    ),
-    "Doubao-pro-4k": ModelConfig(
-        properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Doubao-lite-4k": ModelConfig(
-        properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Doubao-pro-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Doubao-lite-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Doubao-pro-256k": ModelConfig(
-        properties=ModelProperties(context_size=262144, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Doubao-pro-128k": ModelConfig(
-        properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Doubao-lite-128k": ModelConfig(
-        properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Skylark2-pro-4k": ModelConfig(
-        properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Llama3-8B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Llama3-70B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-    "Moonshot-v1-8k": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Moonshot-v1-32k": ModelConfig(
-        properties=ModelProperties(context_size=32768, max_tokens=16384, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Moonshot-v1-128k": ModelConfig(
-        properties=ModelProperties(context_size=131072, max_tokens=65536, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "GLM3-130B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "GLM3-130B-Fin": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL],
-    ),
-    "Mistral-7B": ModelConfig(
-        properties=ModelProperties(context_size=8192, max_tokens=2048, mode=LLMMode.CHAT),
-        features=[ModelFeature.AGENT_THOUGHT],
-    ),
-}
-
-
-def get_model_config(credentials: dict) -> ModelConfig:
-    base_model = credentials.get("base_model_name", "")
-    model_configs = configs.get(base_model)
-    if not model_configs:
-        return ModelConfig(
-            properties=ModelProperties(
-                context_size=int(credentials.get("context_size", 0)),
-                max_tokens=int(credentials.get("max_tokens", 0)),
-                mode=LLMMode.value_of(credentials.get("mode", "chat")),
-            ),
-            features=[],
-        )
-    return model_configs
-
-
-def get_v2_req_params(credentials: dict, model_parameters: dict, stop: list[str] | None = None):
-    req_params: dict[str, Any] = {}
-    # predefined properties
-    model_configs = get_model_config(credentials)
-    if model_configs:
-        req_params["max_prompt_tokens"] = model_configs.properties.context_size
-        req_params["max_new_tokens"] = model_configs.properties.max_tokens
-
-    # model parameters
-    if model_parameters.get("max_tokens"):
-        req_params["max_new_tokens"] = model_parameters.get("max_tokens")
-    if model_parameters.get("temperature"):
-        req_params["temperature"] = model_parameters.get("temperature")
-    if model_parameters.get("top_p"):
-        req_params["top_p"] = model_parameters.get("top_p")
-    if model_parameters.get("top_k"):
-        req_params["top_k"] = model_parameters.get("top_k")
-    if model_parameters.get("presence_penalty"):
-        req_params["presence_penalty"] = model_parameters.get("presence_penalty")
-    if model_parameters.get("frequency_penalty"):
-        req_params["frequency_penalty"] = model_parameters.get("frequency_penalty")
-
-    if stop:
-        req_params["stop"] = stop
-
-    return req_params
-
-
-def get_v3_req_params(credentials: dict, model_parameters: dict, stop: list[str] | None = None):
-    req_params: dict[str, Any] = {}
-    # predefined properties
-    model_configs = get_model_config(credentials)
-    if model_configs:
-        req_params["max_tokens"] = model_configs.properties.max_tokens
-
-    # model parameters
-    if model_parameters.get("max_tokens"):
-        req_params["max_tokens"] = model_parameters.get("max_tokens")
-    if model_parameters.get("temperature"):
-        req_params["temperature"] = model_parameters.get("temperature")
-    if model_parameters.get("top_p"):
-        req_params["top_p"] = model_parameters.get("top_p")
-    if model_parameters.get("presence_penalty"):
-        req_params["presence_penalty"] = model_parameters.get("presence_penalty")
-    if model_parameters.get("frequency_penalty"):
-        req_params["frequency_penalty"] = model_parameters.get("frequency_penalty")
-
-    if stop:
-        req_params["stop"] = stop
-
-    return req_params
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py
deleted file mode 100644
index be9bba5f24..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from pydantic import BaseModel
-
-
-class ModelProperties(BaseModel):
-    context_size: int
-    max_chunks: int
-
-
-class ModelConfig(BaseModel):
-    properties: ModelProperties
-
-
-ModelConfigs = {
-    "Doubao-embedding": ModelConfig(properties=ModelProperties(context_size=4096, max_chunks=32)),
-    "Doubao-embedding-large": ModelConfig(properties=ModelProperties(context_size=4096, max_chunks=32)),
-}
-
-
-def get_model_config(credentials: dict) -> ModelConfig:
-    base_model = credentials.get("base_model_name", "")
-    model_configs = ModelConfigs.get(base_model)
-    if not model_configs:
-        return ModelConfig(
-            properties=ModelProperties(
-                context_size=int(credentials.get("context_size", 4096)),
-                max_chunks=int(credentials.get("max_chunks", 1)),
-            )
-        )
-    return model_configs
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py
deleted file mode 100644
index 4d13e4708b..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,198 +0,0 @@
-import time
-from decimal import Decimal
-from typing import Optional
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelPropertyKey,
-    ModelType,
-    PriceConfig,
-    PriceType,
-)
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3
-from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient
-from core.model_runtime.model_providers.volcengine_maas.legacy.errors import (
-    AuthErrors,
-    BadRequestErrors,
-    ConnectionErrors,
-    MaasError,
-    RateLimitErrors,
-    ServerUnavailableErrors,
-)
-from core.model_runtime.model_providers.volcengine_maas.text_embedding.models import get_model_config
-
-
-class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for VolcengineMaaS text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        if ArkClientV3.is_legacy(credentials):
-            return self._generate_v2(model, credentials, texts, user)
-
-        return self._generate_v3(model, credentials, texts, user)
-
-    def _generate_v2(
-        self, model: str, credentials: dict, texts: list[str], user: Optional[str] = None
-    ) -> TextEmbeddingResult:
-        client = MaaSClient.from_credential(credentials)
-        resp = MaaSClient.wrap_exception(lambda: client.embeddings(texts))
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=resp["usage"]["total_tokens"])
-
-        result = TextEmbeddingResult(model=model, embeddings=[v["embedding"] for v in resp["data"]], usage=usage)
-
-        return result
-
-    def _generate_v3(
-        self, model: str, credentials: dict, texts: list[str], user: Optional[str] = None
-    ) -> TextEmbeddingResult:
-        client = ArkClientV3.from_credentials(credentials)
-        resp = client.embeddings(texts)
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=resp.usage.total_tokens)
-
-        result = TextEmbeddingResult(model=model, embeddings=[v.embedding for v in resp.data], usage=usage)
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use GPT2Tokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        if ArkClientV3.is_legacy(credentials):
-            return self._validate_credentials_v2(model, credentials)
-        return self._validate_credentials_v3(model, credentials)
-
-    def _validate_credentials_v2(self, model: str, credentials: dict) -> None:
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except MaasError as e:
-            raise CredentialsValidateFailedError(e.message)
-
-    def _validate_credentials_v3(self, model: str, credentials: dict) -> None:
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as e:
-            raise CredentialsValidateFailedError(e)
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: ConnectionErrors.values(),
-            InvokeServerUnavailableError: ServerUnavailableErrors.values(),
-            InvokeRateLimitError: RateLimitErrors.values(),
-            InvokeAuthorizationError: AuthErrors.values(),
-            InvokeBadRequestError: BadRequestErrors.values(),
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        model_config = get_model_config(credentials)
-        model_properties = {
-            ModelPropertyKey.CONTEXT_SIZE: model_config.properties.context_size,
-            ModelPropertyKey.MAX_CHUNKS: model_config.properties.max_chunks,
-        }
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties=model_properties,
-            parameter_rules=[],
-            pricing=PriceConfig(
-                input=Decimal(credentials.get("input_price", 0)),
-                unit=Decimal(credentials.get("unit", 0)),
-                currency=credentials.get("currency", "USD"),
-            ),
-        )
-
-        return entity
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py
deleted file mode 100644
index 10f9be2d08..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class VolcengineMaaSProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
deleted file mode 100644
index 210ac1cdf1..0000000000
--- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml
+++ /dev/null
@@ -1,338 +0,0 @@
-provider: volcengine_maas
-label:
-  en_US: Volcengine
-description:
-  en_US: Volcengine Ark models.
-  zh_Hans: 火山方舟提供的模型，例如 Doubao-pro-4k、Doubao-pro-32k 和 Doubao-pro-128k。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-  zh_Hans: icon_l_zh.svg
-background: "#F9FAFB"
-help:
-  title:
-    en_US: Get your Access Key and Secret Access Key from Volcengine Console
-    zh_Hans: 从火山引擎控制台获取您的 Access Key 和 Secret Access Key
-  url:
-    en_US: https://console.volcengine.com/iam/keymanage/
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your Model Name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: auth_method
-      required: true
-      label:
-        en_US: Authentication Method
-        zh_Hans: 鉴权方式
-      type: select
-      default: aksk
-      options:
-        - label:
-            en_US: API Key
-          value: api_key
-        - label:
-            en_US: Access Key / Secret Access Key
-          value: aksk
-      placeholder:
-        en_US: Enter your Authentication Method
-        zh_Hans: 选择鉴权方式
-    - variable: volc_access_key_id
-      required: true
-      show_on:
-        - variable: auth_method
-          value: aksk
-      label:
-        en_US: Access Key
-        zh_Hans: Access Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Access Key
-        zh_Hans: 输入您的 Access Key
-    - variable: volc_secret_access_key
-      required: true
-      show_on:
-        - variable: auth_method
-          value: aksk
-      label:
-        en_US: Secret Access Key
-        zh_Hans: Secret Access Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your Secret Access Key
-        zh_Hans: 输入您的 Secret Access Key
-    - variable: volc_api_key
-      required: true
-      show_on:
-        - variable: auth_method
-          value: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      placeholder:
-        en_US: Enter your API Key
-        zh_Hans: 输入您的 API Key
-    - variable: volc_region
-      required: true
-      label:
-        en_US: Volcengine Region
-        zh_Hans: 火山引擎地域
-      type: text-input
-      default: cn-beijing
-      placeholder:
-        en_US: Enter Volcengine Region
-        zh_Hans: 输入火山引擎地域
-    - variable: api_endpoint_host
-      required: true
-      label:
-        en_US: API Endpoint Host
-        zh_Hans: API Endpoint Host
-      type: text-input
-      default: https://ark.cn-beijing.volces.com/api/v3
-      placeholder:
-        en_US: Enter your API Endpoint Host
-        zh_Hans: 输入 API Endpoint Host
-    - variable: endpoint_id
-      required: true
-      label:
-        en_US: Endpoint ID
-        zh_Hans: Endpoint ID
-      type: text-input
-      placeholder:
-        en_US: Enter your Endpoint ID
-        zh_Hans: 输入您的 Endpoint ID
-    - variable: base_model_name
-      label:
-        en_US: Base Model
-        zh_Hans: 基础模型
-      type: select
-      required: true
-      options:
-        - label:
-            en_US: DeepSeek-R1-Distill-Qwen-32B
-          value: DeepSeek-R1-Distill-Qwen-32B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: DeepSeek-R1-Distill-Qwen-7B
-          value: DeepSeek-R1-Distill-Qwen-7B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: DeepSeek-R1
-          value: DeepSeek-R1
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: DeepSeek-V3
-          value: DeepSeek-V3
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-1.5-vision-pro-32k
-          value: Doubao-1.5-vision-pro-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-1.5-pro-32k
-          value: Doubao-1.5-pro-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-1.5-lite-32k
-          value: Doubao-1.5-lite-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-1.5-pro-256k
-          value: Doubao-1.5-pro-256k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-vision-pro-32k
-          value: Doubao-vision-pro-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-vision-lite-32k
-          value: Doubao-vision-lite-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-pro-4k
-          value: Doubao-pro-4k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-lite-4k
-          value: Doubao-lite-4k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-pro-32k
-          value: Doubao-pro-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-lite-32k
-          value: Doubao-lite-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-pro-128k
-          value: Doubao-pro-128k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-lite-128k
-          value: Doubao-lite-128k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-pro-256k
-          value: Doubao-pro-256k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Llama3-8B
-          value: Llama3-8B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Llama3-70B
-          value: Llama3-70B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Moonshot-v1-8k
-          value: Moonshot-v1-8k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Moonshot-v1-32k
-          value: Moonshot-v1-32k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Moonshot-v1-128k
-          value: Moonshot-v1-128k
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: GLM3-130B
-          value: GLM3-130B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: GLM3-130B-Fin
-          value: GLM3-130B-Fin
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Mistral-7B
-          value: Mistral-7B
-          show_on:
-            - variable: __model_type
-              value: llm
-        - label:
-            en_US: Doubao-embedding
-          value: Doubao-embedding
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-        - label:
-            en_US: Doubao-embedding-large
-          value: Doubao-embedding-large
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-        - label:
-            en_US: Custom
-            zh_Hans: 自定义
-          value: Custom
-    - variable: mode
-      required: true
-      show_on:
-        - variable: __model_type
-          value: llm
-        - variable: base_model_name
-          value: Custom
-      label:
-        zh_Hans: 模型类型
-        en_US: Completion Mode
-      type: select
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select Completion Mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      required: true
-      show_on:
-        - variable: base_model_name
-          value: Custom
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model Context Size
-      type: text-input
-      default: "4096"
-      placeholder:
-        zh_Hans: 输入您的模型上下文长度
-        en_US: Enter your Model Context Size
-    - variable: max_tokens
-      required: true
-      show_on:
-        - variable: __model_type
-          value: llm
-        - variable: base_model_name
-          value: Custom
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper Bound for Max Tokens
-      default: "4096"
-      type: text-input
-      placeholder:
-        zh_Hans: 输入您的模型最大 token 上限
-        en_US: Enter your model Upper Bound for Max Tokens
diff --git a/api/core/model_runtime/model_providers/voyage/__init__.py b/api/core/model_runtime/model_providers/voyage/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg
deleted file mode 100644
index a961f5e435..0000000000
--- a/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,21 +0,0 @@
-<svg version="1.0" xmlns="http://www.w3.org/2000/svg" width="100.000000pt" height="19.000000pt" viewBox="0 0 300.000000 57.000000" preserveAspectRatio="xMidYMid meet"><g transform="translate(0.000000,57.000000) scale(0.100000,-0.100000)" fill="#000000" stroke="none"><path d="M2505 368 c-38 -84 -86 -188 -106 -230 l-38 -78 27 0 c24 0 30 7 55
-    75 l28 75 100 0 100 0 25 -55 c13 -31 24 -64 24 -75 0 -17 7 -20 44 -20 l43 0
-    -37 73 c-20 39 -68 143 -106 229 -38 87 -74 158 -80 158 -5 0 -41 -69 -79
-    -152z m110 -30 c22 -51 41 -95 42 -98 2 -3 -36 -6 -83 -7 -76 -1 -85 0 -81 15
-    12 40 72 182 77 182 3 0 24 -41 45 -92z"/><path d="M63 493 c19 -61 197 -438 209 -440 10 -2 147 282 216 449 2 4 -10 8
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-    3 37 8 -2 4 -39 80 -83 170 -43 89 -84 162 -92 162 -7 0 -50 -76 -96 -170z
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-    15 l-97 0 0 -170z"/></g></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg
deleted file mode 100644
index 2c4e121dd7..0000000000
--- a/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg width="64px" height="64px" viewBox="0 0 64 64" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-    <title>voyage</title>
-    <g id="voyage" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
-        <rect id="矩形" fill="#333333" x="0" y="0" width="64" height="64" rx="12"></rect>
-        <path d="M12.1128004,51.4376727 C13.8950799,45.8316747 30.5922254,11.1847688 31.7178757,11.0009656 C32.6559176,10.8171624 45.5070913,36.9172188 51.9795803,52.2647871 C52.1671887,52.6323936 51.0415384,53 49.4468672,53 C47.2893709,53 46.5389374,52.540492 46.5389374,51.4376727 C46.5389374,49.967247 33.2187427,17.8935861 32.8435259,18.3530942 C32.0930924,19.3640118 19.3357228,48.5887229 18.8667019,50.5186566 C18.3038768,52.6323936 17.7410516,53 14.926926,53 C12.2066045,53 11.7375836,52.7242952 12.1128004,51.4376727 Z" id="路径" fill="#FFFFFF" transform="translate(32, 32) scale(1, -1) translate(-32, -32)"></path>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/__init__.py b/api/core/model_runtime/model_providers/voyage/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml b/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml
deleted file mode 100644
index 32afefbe04..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-- rerank-2
-- rerank-lite-2
-- rerank-1
-- rerank-lite-1
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml
deleted file mode 100644
index 9c894eda85..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-1
-model_type: rerank
-model_properties:
-  context_size: 8000
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml
deleted file mode 100644
index b760d3c418..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-2
-model_type: rerank
-model_properties:
-  context_size: 16000
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml
deleted file mode 100644
index b052d6f000..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-lite-1
-model_type: rerank
-model_properties:
-  context_size: 4000
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml
deleted file mode 100644
index b6fa37a25b..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: rerank-lite-2
-model_type: rerank
-model_properties:
-  context_size: 8000
diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank.py b/api/core/model_runtime/model_providers/voyage/rerank/rerank.py
deleted file mode 100644
index 33fdebbb45..0000000000
--- a/api/core/model_runtime/model_providers/voyage/rerank/rerank.py
+++ /dev/null
@@ -1,123 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class VoyageRerankModel(RerankModel):
-    """
-    Model class for Voyage rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        base_url = credentials.get("base_url", "https://api.voyageai.com/v1")
-        base_url = base_url.removesuffix("/")
-
-        try:
-            response = httpx.post(
-                base_url + "/rerank",
-                json={"model": model, "query": query, "documents": docs, "top_k": top_n, "return_documents": True},
-                headers={"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"},
-            )
-            response.raise_for_status()
-            results = response.json()
-
-            rerank_documents = []
-            for result in results["data"]:
-                rerank_document = RerankDocument(
-                    index=result["index"],
-                    text=result["document"],
-                    score=result["relevance_score"],
-                )
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [httpx.HTTPStatusError],
-            InvokeBadRequestError: [httpx.RequestError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.RERANK,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "8000"))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py b/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml
deleted file mode 100644
index 595663990f..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-- voyage-3
-- voyage-3-lite
-- voyage-finance-2
-- voyage-multilingual-2
-- voyage-law-2
-- voyage-code-2
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py
deleted file mode 100644
index 16f1bd43d8..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,172 +0,0 @@
-import time
-from json import JSONDecodeError, dumps
-from typing import Optional
-
-import requests
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-
-
-class VoyageTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Voyage text embedding model.
-    """
-
-    api_base: str = "https://api.voyageai.com/v1"
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        api_key = credentials["api_key"]
-        if not api_key:
-            raise CredentialsValidateFailedError("api_key is required")
-
-        base_url = credentials.get("base_url", self.api_base)
-        base_url = base_url.removesuffix("/")
-
-        url = base_url + "/embeddings"
-        headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"}
-        voyage_input_type = "null"
-        if input_type is not None:
-            voyage_input_type = input_type.value
-        data = {"model": model, "input": texts, "input_type": voyage_input_type}
-
-        try:
-            response = requests.post(url, headers=headers, data=dumps(data))
-        except Exception as e:
-            raise InvokeConnectionError(str(e))
-
-        if response.status_code != 200:
-            try:
-                resp = response.json()
-                msg = resp["detail"]
-                if response.status_code == 401:
-                    raise InvokeAuthorizationError(msg)
-                elif response.status_code == 429:
-                    raise InvokeRateLimitError(msg)
-                elif response.status_code == 500:
-                    raise InvokeServerUnavailableError(msg)
-                else:
-                    raise InvokeBadRequestError(msg)
-            except JSONDecodeError as e:
-                raise InvokeServerUnavailableError(
-                    f"Failed to convert response to json: {e} with text: {response.text}"
-                )
-
-        try:
-            resp = response.json()
-            embeddings = resp["data"]
-            usage = resp["usage"]
-        except Exception as e:
-            raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}")
-
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        return sum(self._get_num_tokens_by_gpt2(text) for text in texts)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError, InvokeBadRequestError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        """
-        generate custom model entities from credentials
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            model_type=ModelType.TEXT_EMBEDDING,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512))},
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml
deleted file mode 100644
index a06bb7639f..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-3-lite
-model_type: text-embedding
-model_properties:
-  context_size: 32000
-pricing:
-  input: '0.00002'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml
deleted file mode 100644
index 117afbcaf3..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-3
-model_type: text-embedding
-model_properties:
-  context_size: 32000
-pricing:
-  input: '0.00006'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml
deleted file mode 100644
index 693669c82c..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-code-2
-model_type: text-embedding
-model_properties:
-  context_size: 16000
-pricing:
-  input: '0.00012'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml
deleted file mode 100644
index 555e11002a..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-finance-2
-model_type: text-embedding
-model_properties:
-  context_size: 32000
-pricing:
-  input: '0.00012'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml
deleted file mode 100644
index 032693286f..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-law-2
-model_type: text-embedding
-model_properties:
-  context_size: 16000
-pricing:
-  input: '0.00012'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml
deleted file mode 100644
index 9ecf4d5009..0000000000
--- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: voyage-multilingual-2
-model_type: text-embedding
-model_properties:
-  context_size: 32000
-pricing:
-  input: '0.00012'
-  unit: '0.001'
-  currency: USD
diff --git a/api/core/model_runtime/model_providers/voyage/voyage.py b/api/core/model_runtime/model_providers/voyage/voyage.py
deleted file mode 100644
index 3e33b45e11..0000000000
--- a/api/core/model_runtime/model_providers/voyage/voyage.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class VoyageProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING)
-
-            # Use `voyage-3` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="voyage-3", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/voyage/voyage.yaml b/api/core/model_runtime/model_providers/voyage/voyage.yaml
deleted file mode 100644
index c64707800e..0000000000
--- a/api/core/model_runtime/model_providers/voyage/voyage.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: voyage
-label:
-  en_US: Voyage
-description:
-  en_US: Embedding and Rerank Model Supported
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#EFFDFD"
-help:
-  title:
-    en_US: Get your API key from Voyage AI
-    zh_Hans: 从 Voyage 获取 API Key
-  url:
-    en_US: https://dash.voyageai.com/
-supported_model_types:
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/wenxin/__init__.py b/api/core/model_runtime/model_providers/wenxin/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/wenxin/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/wenxin/_assets/icon_l_en.png
deleted file mode 100644
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diff --git a/api/core/model_runtime/model_providers/wenxin/_common.py b/api/core/model_runtime/model_providers/wenxin/_common.py
deleted file mode 100644
index 957cfce436..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/_common.py
+++ /dev/null
@@ -1,197 +0,0 @@
-from datetime import datetime, timedelta
-from threading import Lock
-
-from requests import post
-
-from core.model_runtime.model_providers.wenxin.wenxin_errors import (
-    BadRequestError,
-    InternalServerError,
-    InvalidAPIKeyError,
-    InvalidAuthenticationError,
-    RateLimitReachedError,
-)
-
-baidu_access_tokens: dict[str, "BaiduAccessToken"] = {}
-baidu_access_tokens_lock = Lock()
-
-
-class BaiduAccessToken:
-    api_key: str
-    access_token: str
-    expires: datetime
-
-    def __init__(self, api_key: str) -> None:
-        self.api_key = api_key
-        self.access_token = ""
-        self.expires = datetime.now() + timedelta(days=3)
-
-    @staticmethod
-    def _get_access_token(api_key: str, secret_key: str) -> str:
-        """
-        request access token from Baidu
-        """
-        try:
-            response = post(
-                url=f"https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={api_key}&client_secret={secret_key}",
-                headers={"Content-Type": "application/json", "Accept": "application/json"},
-            )
-        except Exception as e:
-            raise InvalidAuthenticationError(f"Failed to get access token from Baidu: {e}")
-
-        resp = response.json()
-        if "error" in resp:
-            if resp["error"] == "invalid_client":
-                raise InvalidAPIKeyError(f"Invalid API key or secret key: {resp['error_description']}")
-            elif resp["error"] == "unknown_error":
-                raise InternalServerError(f"Internal server error: {resp['error_description']}")
-            elif resp["error"] == "invalid_request":
-                raise BadRequestError(f"Bad request: {resp['error_description']}")
-            elif resp["error"] == "rate_limit_exceeded":
-                raise RateLimitReachedError(f"Rate limit reached: {resp['error_description']}")
-            else:
-                raise Exception(f"Unknown error: {resp['error_description']}")
-
-        return resp["access_token"]
-
-    @staticmethod
-    def get_access_token(api_key: str, secret_key: str) -> "BaiduAccessToken":
-        """
-        LLM from Baidu requires access token to invoke the API.
-        however, we have api_key and secret_key, and access token is valid for 30 days.
-        so we can cache the access token for 3 days. (avoid memory leak)
-
-        it may be more efficient to use a ticker to refresh access token, but it will cause
-        more complexity, so we just refresh access tokens when get_access_token is called.
-        """
-
-        # loop up cache, remove expired access token
-        baidu_access_tokens_lock.acquire()
-        now = datetime.now()
-        for key in list(baidu_access_tokens.keys()):
-            token = baidu_access_tokens[key]
-            if token.expires < now:
-                baidu_access_tokens.pop(key)
-
-        if api_key not in baidu_access_tokens:
-            # if access token not in cache, request it
-            token = BaiduAccessToken(api_key)
-            baidu_access_tokens[api_key] = token
-            try:
-                # try to get access token
-                token_str = BaiduAccessToken._get_access_token(api_key, secret_key)
-            finally:
-                # release it to enhance performance
-                # btw, _get_access_token will raise exception if failed, release lock here to avoid deadlock
-                baidu_access_tokens_lock.release()
-            token.access_token = token_str
-            token.expires = now + timedelta(days=3)
-            return token
-        else:
-            # if access token in cache, return it
-            token = baidu_access_tokens[api_key]
-            baidu_access_tokens_lock.release()
-            return token
-
-
-class _CommonWenxin:
-    api_bases = {
-        "ernie-bot": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-4k-0205",
-        "ernie-bot-4": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro",
-        "ernie-bot-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions",
-        "ernie-bot-turbo": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant",
-        "ernie-3.5-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions",
-        "ernie-3.5-8k-0205": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-8k-0205",
-        "ernie-3.5-8k-1222": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-8k-1222",
-        "ernie-3.5-4k-0205": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-4k-0205",
-        "ernie-3.5-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-128k",
-        "ernie-4.0-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro",
-        "ernie-4.0-8k-latest": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro",
-        "ernie-speed-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie_speed",
-        "ernie-speed-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-speed-128k",
-        "ernie-speed-appbuilder": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ai_apaas",
-        "ernie-lite-8k-0922": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant",
-        "ernie-lite-8k-0308": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-lite-8k",
-        "ernie-character-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-char-8k",
-        "ernie-character-8k-0321": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-char-8k",
-        "ernie-4.0-turbo-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-8k",
-        "ernie-4.0-turbo-8k-preview": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-8k-preview",
-        "ernie-4.0-turbo-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-128k",
-        "yi_34b_chat": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/yi_34b_chat",
-        "embedding-v1": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1",
-        "bge-large-en": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/bge_large_en",
-        "bge-large-zh": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/bge_large_zh",
-        "tao-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/tao_8k",
-        "bce-reranker-base_v1": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/reranker/bce_reranker_base",
-        "ernie-lite-pro-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-lite-pro-128k",
-    }
-
-    function_calling_supports = [
-        "ernie-bot",
-        "ernie-bot-8k",
-        "ernie-3.5-8k",
-        "ernie-3.5-8k-0205",
-        "ernie-3.5-8k-1222",
-        "ernie-3.5-4k-0205",
-        "ernie-3.5-128k",
-        "ernie-4.0-8k",
-        "ernie-4.0-turbo-8k",
-        "ernie-4.0-turbo-8k-preview",
-        "yi_34b_chat",
-    ]
-
-    api_key: str = ""
-    secret_key: str = ""
-
-    def __init__(self, api_key: str, secret_key: str):
-        self.api_key = api_key
-        self.secret_key = secret_key
-
-    @staticmethod
-    def _to_credential_kwargs(credentials: dict) -> dict:
-        credentials_kwargs = {"api_key": credentials["api_key"], "secret_key": credentials["secret_key"]}
-        return credentials_kwargs
-
-    def _handle_error(self, code: int, msg: str):
-        error_map = {
-            1: InternalServerError,
-            2: InternalServerError,
-            3: BadRequestError,
-            4: RateLimitReachedError,
-            6: InvalidAuthenticationError,
-            13: InvalidAPIKeyError,
-            14: InvalidAPIKeyError,
-            15: InvalidAPIKeyError,
-            17: RateLimitReachedError,
-            18: RateLimitReachedError,
-            19: RateLimitReachedError,
-            100: InvalidAPIKeyError,
-            111: InvalidAPIKeyError,
-            200: InternalServerError,
-            336000: InternalServerError,
-            336001: BadRequestError,
-            336002: BadRequestError,
-            336003: BadRequestError,
-            336004: InvalidAuthenticationError,
-            336005: InvalidAPIKeyError,
-            336006: BadRequestError,
-            336007: BadRequestError,
-            336008: BadRequestError,
-            336100: InternalServerError,
-            336101: BadRequestError,
-            336102: BadRequestError,
-            336103: BadRequestError,
-            336104: BadRequestError,
-            336105: BadRequestError,
-            336200: InternalServerError,
-            336303: BadRequestError,
-            337006: BadRequestError,
-        }
-
-        if code in error_map:
-            raise error_map[code](msg)
-        else:
-            raise InternalServerError(f"Unknown error: {msg}")
-
-    def _get_access_token(self) -> str:
-        token = BaiduAccessToken.get_access_token(self.api_key, self.secret_key)
-        return token.access_token
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/__init__.py b/api/core/model_runtime/model_providers/wenxin/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml
deleted file mode 100644
index b1b1ba1f69..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-model: ernie-3.5-128k
-label:
-  en_US: Ernie-3.5-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 2
-    max: 4096
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml
deleted file mode 100644
index 1e8cf96440..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: ernie-3.5-4k-0205
-label:
-  en_US: Ernie-3.5-4k-0205
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml
deleted file mode 100644
index b308abcb32..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: ernie-3.5-8k-0205
-label:
-  en_US: Ernie-3.5-8K-0205
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml
deleted file mode 100644
index c43588cfe1..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-model: ernie-3.5-8k-1222
-label:
-  en_US: Ernie-3.5-8K-1222
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml
deleted file mode 100644
index 145844a4ff..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-3.5-8k
-label:
-  en_US: Ernie-3.5-8K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml
deleted file mode 100644
index d23ae0dc48..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-4.0-8k-latest
-label:
-  en_US: Ernie-4.0-8K-Latest
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml
deleted file mode 100644
index 9ebb5c8c4f..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-4.0-8k
-label:
-  en_US: Ernie-4.0-8K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml
deleted file mode 100644
index f8d56406d9..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-4.0-turbo-128k
-label:
-  en_US: Ernie-4.0-turbo-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 4096
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml
deleted file mode 100644
index 16df540220..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-4.0-turbo-8k-preview
-label:
-  en_US: Ernie-4.0-turbo-8k-preview
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml
deleted file mode 100644
index 2887a510d0..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-model: ernie-4.0-turbo-8k
-label:
-  en_US: Ernie-4.0-turbo-8K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml
deleted file mode 100644
index f352787aec..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: ernie-bot-4
-label:
-  en_US: Ernie Bot 4
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4800
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 256
-    min: 1
-    max: 4800
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml
deleted file mode 100644
index fa4b7dd800..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: ernie-bot-8k
-label:
-  en_US: Ernie Bot 8k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 1024
-    min: 1
-    max: 8000
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml
deleted file mode 100644
index c94aa2db88..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: ernie-bot-turbo
-label:
-  en_US: Ernie Bot Turbo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 11200
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 1024
-    min: 1
-    max: 11200
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    use_template: response_format
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml
deleted file mode 100644
index 13985b7483..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-model: ernie-bot
-label:
-  en_US: Ernie Bot
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4800
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: max_tokens
-    use_template: max_tokens
-    required: true
-    default: 256
-    min: 1
-    max: 4800
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: disable_search
-    label:
-      zh_Hans: 禁用搜索
-      en_US: Disable Search
-    type: boolean
-    help:
-      zh_Hans: 禁用模型自行进行外部搜索。
-      en_US: Disable the model to perform external search.
-    required: false
-  - name: response_format
-    use_template: response_format
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml
deleted file mode 100644
index 74451ff9e3..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: ernie-character-8k-0321
-label:
-  en_US: ERNIE-Character-8K-0321
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 1024
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml
deleted file mode 100644
index 4b11b3e895..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: ernie-character-8k-0321
-label:
-  en_US: ERNIE-Character-8K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 1024
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml
deleted file mode 100644
index 97ecb03f87..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: ernie-lite-8k-0308
-label:
-  en_US: ERNIE-Lite-8K-0308
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml
deleted file mode 100644
index 7410ce51df..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-model: ernie-lite-8k-0922
-label:
-  en_US: ERNIE-Lite-8K-0922
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 1024
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml
deleted file mode 100644
index 4f5832c859..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-model: ernie-lite-pro-128k
-label:
-  en_US: Ernie-Lite-Pro-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: min_output_tokens
-    label:
-      en_US: "Min Output Tokens"
-      zh_Hans: "最小输出Token数"
-    use_template: max_tokens
-    min: 2
-    max: 2048
-    help:
-      zh_Hans: 指定模型最小输出token数
-      en_US: Specifies the lower limit on the length of generated results.
-  - name: max_output_tokens
-    label:
-      en_US: "Max Output Tokens"
-      zh_Hans: "最大输出Token数"
-    use_template: max_tokens
-    min: 2
-    max: 2048
-    default: 2048
-    help:
-      zh_Hans: 指定模型最大输出token数
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml
deleted file mode 100644
index 331639624c..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: ernie-speed-128k
-label:
-  en_US: ERNIE-Speed-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 2
-    max: 4096
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml
deleted file mode 100644
index 304c6d1f7e..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: ernie-speed-8k
-label:
-  en_US: ERNIE-Speed-8K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 2
-    max: 2048
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml
deleted file mode 100644
index c254ae0260..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-model: ernie-speed-appbuilder
-label:
-  en_US: ERNIE-Speed-AppBuilder
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py b/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py
deleted file mode 100644
index d289979569..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py
+++ /dev/null
@@ -1,246 +0,0 @@
-from collections.abc import Generator
-from enum import Enum
-from json import dumps, loads
-from typing import Any, Optional, Union
-
-from requests import Response, post
-
-from core.model_runtime.entities.message_entities import PromptMessageTool
-from core.model_runtime.model_providers.wenxin._common import _CommonWenxin
-from core.model_runtime.model_providers.wenxin.wenxin_errors import (
-    BadRequestError,
-    InternalServerError,
-)
-
-
-class ErnieMessage:
-    class Role(Enum):
-        USER = "user"
-        ASSISTANT = "assistant"
-        FUNCTION = "function"
-        SYSTEM = "system"
-
-    role: str = Role.USER.value
-    content: str
-    usage: Optional[dict[str, int]] = None
-    stop_reason: str = ""
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "role": self.role,
-            "content": self.content,
-        }
-
-    def __init__(self, content: str, role: str = "user") -> None:
-        self.content = content
-        self.role = role
-
-
-class ErnieBotModel(_CommonWenxin):
-    def generate(
-        self,
-        model: str,
-        stream: bool,
-        messages: list[ErnieMessage],
-        parameters: dict[str, Any],
-        timeout: int,
-        tools: list[PromptMessageTool],
-        stop: list[str],
-        user: str,
-    ) -> Union[Generator[ErnieMessage, None, None], ErnieMessage]:
-        # check parameters
-        self._check_parameters(model, parameters, tools, stop)
-
-        # get access token
-        access_token = self._get_access_token()
-
-        # generate request body
-        url = f"{self.api_bases[model]}?access_token={access_token}"
-
-        # clone messages
-        messages_cloned = self._copy_messages(messages=messages)
-
-        # build body
-        body = self._build_request_body(
-            model, messages=messages_cloned, stream=stream, parameters=parameters, tools=tools, stop=stop, user=user
-        )
-        headers = {
-            "Content-Type": "application/json",
-        }
-
-        resp = post(url=url, data=dumps(body), headers=headers, stream=stream)
-
-        if resp.status_code != 200:
-            raise InternalServerError(f"Failed to invoke ernie bot: {resp.text}")
-
-        if stream:
-            return self._handle_chat_stream_generate_response(resp)
-        return self._handle_chat_generate_response(resp)
-
-    def _copy_messages(self, messages: list[ErnieMessage]) -> list[ErnieMessage]:
-        return [ErnieMessage(message.content, message.role) for message in messages]
-
-    def _check_parameters(
-        self, model: str, parameters: dict[str, Any], tools: list[PromptMessageTool], stop: list[str]
-    ) -> None:
-        if model not in self.api_bases:
-            raise BadRequestError(f"Invalid model: {model}")
-
-        # if model not in self.function_calling_supports and tools is not None and len(tools) > 0:
-        #     raise BadRequestError(f'Model {model} does not support calling function.')
-        # ErnieBot supports function calling, however, there is lots of limitations.
-        # such as, the messages should be ordered as user by assistant or function...
-        # so, we just disable function calling for now.
-
-        if tools is not None and len(tools) > 0:
-            raise BadRequestError("function calling is not supported yet.")
-
-        if stop is not None:
-            if len(stop) > 4:
-                raise BadRequestError("stop list should not exceed 4 items.")
-
-            for s in stop:
-                if len(s) > 20:
-                    raise BadRequestError("stop item should not exceed 20 characters.")
-
-    def _build_request_body(
-        self,
-        model: str,
-        messages: list[ErnieMessage],
-        stream: bool,
-        parameters: dict[str, Any],
-        tools: list[PromptMessageTool],
-        stop: list[str],
-        user: str,
-    ) -> dict[str, Any]:
-        # if model in self.function_calling_supports:
-        #     return self._build_function_calling_request_body(model, messages, parameters, tools, stop, user)
-        return self._build_chat_request_body(model, messages, stream, parameters, stop, user)
-
-    def _build_function_calling_request_body(
-        self,
-        model: str,
-        messages: list[ErnieMessage],
-        stream: bool,
-        parameters: dict[str, Any],
-        tools: list[PromptMessageTool],
-        stop: list[str],
-        user: str,
-    ) -> dict[str, Any]:
-        if len(messages) % 2 == 0:
-            raise BadRequestError("The number of messages should be odd.")
-        if messages[0].role == "function":
-            raise BadRequestError("The first message should be user message.")
-
-        """
-        TODO: implement function calling
-        """
-        raise NotImplementedError("Function calling is not supported yet.")
-
-    def _build_chat_request_body(
-        self,
-        model: str,
-        messages: list[ErnieMessage],
-        stream: bool,
-        parameters: dict[str, Any],
-        stop: list[str],
-        user: str,
-    ) -> dict[str, Any]:
-        if len(messages) == 0:
-            raise BadRequestError("The number of messages should not be zero.")
-
-        # check if the first element is system, shift it
-        system_message = ""
-        if messages[0].role == "system":
-            message = messages.pop(0)
-            system_message = message.content
-
-        if len(messages) % 2 == 0:
-            raise BadRequestError("The number of messages should be odd.")
-        if messages[0].role != "user":
-            raise BadRequestError("The first message should be user message.")
-        body = {
-            "messages": [message.to_dict() for message in messages],
-            "stream": stream,
-            "stop": stop,
-            "user_id": user,
-            **parameters,
-        }
-
-        if "max_tokens" in parameters and type(parameters["max_tokens"]) == int:
-            body["max_output_tokens"] = parameters["max_tokens"]
-
-        if "presence_penalty" in parameters and type(parameters["presence_penalty"]) == float:
-            body["penalty_score"] = parameters["presence_penalty"]
-
-        if system_message:
-            body["system"] = system_message
-
-        return body
-
-    def _handle_chat_generate_response(self, response: Response) -> ErnieMessage:
-        data = response.json()
-        if "error_code" in data:
-            code = data["error_code"]
-            msg = data["error_msg"]
-            # raise error
-            self._handle_error(code, msg)
-
-        result = data["result"]
-        usage = data["usage"]
-
-        message = ErnieMessage(content=result, role="assistant")
-        message.usage = {
-            "prompt_tokens": usage["prompt_tokens"],
-            "completion_tokens": usage["completion_tokens"],
-            "total_tokens": usage["total_tokens"],
-        }
-
-        return message
-
-    def _handle_chat_stream_generate_response(self, response: Response) -> Generator[ErnieMessage, None, None]:
-        for line in response.iter_lines():
-            if len(line) == 0:
-                continue
-            line = line.decode("utf-8")
-            if line[0] == "{":
-                try:
-                    data = loads(line)
-                    if "error_code" in data:
-                        code = data["error_code"]
-                        msg = data["error_msg"]
-                        # raise error
-                        self._handle_error(code, msg)
-                except Exception as e:
-                    raise InternalServerError(f"Failed to parse response: {e}")
-
-            if line.startswith("data:"):
-                line = line[5:].strip()
-            else:
-                continue
-
-            if not line:
-                continue
-            try:
-                data = loads(line)
-            except Exception as e:
-                raise InternalServerError(f"Failed to parse response: {e}")
-
-            result = data["result"]
-            is_end = data["is_end"]
-
-            if is_end:
-                usage = data["usage"]
-                finish_reason = data.get("finish_reason", None)
-                message = ErnieMessage(content=result, role="assistant")
-                message.usage = {
-                    "prompt_tokens": usage["prompt_tokens"],
-                    "completion_tokens": usage["completion_tokens"],
-                    "total_tokens": usage["total_tokens"],
-                }
-                message.stop_reason = finish_reason
-
-                yield message
-            else:
-                message = ErnieMessage(content=result, role="assistant")
-                yield message
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/llm.py b/api/core/model_runtime/model_providers/wenxin/llm/llm.py
deleted file mode 100644
index 952cbb33f4..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/llm.py
+++ /dev/null
@@ -1,316 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union, cast
-
-from core.model_runtime.callbacks.base_callback import Callback
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.wenxin._common import BaiduAccessToken
-from core.model_runtime.model_providers.wenxin.llm.ernie_bot import ErnieBotModel, ErnieMessage
-from core.model_runtime.model_providers.wenxin.wenxin_errors import invoke_error_mapping
-
-ERNIE_BOT_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-
-You should also complete the text started with ``` but not tell ``` directly.
-"""  # noqa: E501
-
-
-class ErnieBotLargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-        )
-
-    def _code_block_mode_wrapper(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-        callbacks: Optional[list[Callback]] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Code block mode wrapper for invoking large language model
-        """
-        if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}:
-            response_format = model_parameters["response_format"]
-            stop = stop or []
-            self._transform_json_prompts(
-                model, credentials, prompt_messages, model_parameters, tools, stop, stream, user, response_format
-            )
-            model_parameters.pop("response_format")
-            if stream:
-                return self._code_block_mode_stream_processor(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    input_generator=self._invoke(
-                        model=model,
-                        credentials=credentials,
-                        prompt_messages=prompt_messages,
-                        model_parameters=model_parameters,
-                        tools=tools,
-                        stop=stop,
-                        stream=stream,
-                        user=user,
-                    ),
-                )
-
-        return self._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def _transform_json_prompts(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-        response_format: str = "JSON",
-    ) -> None:
-        """
-        Transform json prompts to model prompts
-        """
-
-        # check if there is a system message
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage):
-            # override the system message
-            prompt_messages[0] = SystemPromptMessage(
-                content=ERNIE_BOT_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace(
-                    "{{block}}", response_format
-                )
-            )
-        else:
-            # insert the system message
-            prompt_messages.insert(
-                0,
-                SystemPromptMessage(
-                    content=ERNIE_BOT_BLOCK_MODE_PROMPT.replace(
-                        "{{instructions}}", f"Please output a valid {response_format} object."
-                    ).replace("{{block}}", response_format)
-                ),
-            )
-
-        if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage):
-            # add ```JSON\n to the last message
-            prompt_messages[-1].content += "\n```JSON\n{\n"
-        else:
-            # append a user message
-            prompt_messages.append(UserPromptMessage(content="```JSON\n{\n"))
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        # tools is not supported yet
-        return self._num_tokens_from_messages(prompt_messages)
-
-    def _num_tokens_from_messages(
-        self,
-        messages: list[PromptMessage],
-    ) -> int:
-        """Calculate num tokens for baichuan model"""
-
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        tokens_per_message = 3
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                num_tokens += tokens(str(value))
-        num_tokens += 3
-
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        api_key = credentials["api_key"]
-        secret_key = credentials["secret_key"]
-        try:
-            BaiduAccessToken.get_access_token(api_key, secret_key)
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        instance = ErnieBotModel(
-            api_key=credentials["api_key"],
-            secret_key=credentials["secret_key"],
-        )
-
-        user = user or "ErnieBotDefault"
-
-        # convert prompt messages to baichuan messages
-        messages = [
-            ErnieMessage(
-                content=message.content
-                if isinstance(message.content, str)
-                else "".join([content.data for content in message.content]),
-                role=message.role.value,
-            )
-            for message in prompt_messages
-        ]
-
-        # invoke model
-        response = instance.generate(
-            model=model,
-            stream=stream,
-            messages=messages,
-            parameters=model_parameters,
-            timeout=60,
-            tools=tools,
-            stop=stop,
-            user=user,
-        )
-
-        if stream:
-            return self._handle_chat_generate_stream_response(model, prompt_messages, credentials, response)
-        else:
-            return self._handle_chat_generate_response(model, prompt_messages, credentials, response)
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for Baichuan
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                raise ValueError("User message content must be str")
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def _handle_chat_generate_response(
-        self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: ErnieMessage
-    ) -> LLMResult:
-        # convert baichuan message to llm result
-        usage = self._calc_response_usage(
-            model=model,
-            credentials=credentials,
-            prompt_tokens=response.usage["prompt_tokens"],
-            completion_tokens=response.usage["completion_tokens"],
-        )
-        return LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=AssistantPromptMessage(content=response.content, tool_calls=[]),
-            usage=usage,
-        )
-
-    def _handle_chat_generate_stream_response(
-        self,
-        model: str,
-        prompt_messages: list[PromptMessage],
-        credentials: dict,
-        response: Generator[ErnieMessage, None, None],
-    ) -> Generator:
-        for message in response:
-            if message.usage:
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=message.usage["prompt_tokens"],
-                    completion_tokens=message.usage["completion_tokens"],
-                )
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        usage=usage,
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=AssistantPromptMessage(content=message.content, tool_calls=[]),
-                        finish_reason=message.stop_reason or None,
-                    ),
-                )
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return invoke_error_mapping()
diff --git a/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml b/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml
deleted file mode 100644
index 0b247fbd22..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-model: yi_34b_chat
-label:
-  en_US: yi_34b_chat
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.95
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1.0
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    default: 4096
-    min: 2
-    max: 4096
-  - name: presence_penalty
-    use_template: presence_penalty
-    default: 1.0
-    min: 1.0
-    max: 2.0
diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/__init__.py b/api/core/model_runtime/model_providers/wenxin/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml b/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml
deleted file mode 100644
index ef4b07d767..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: bce-reranker-base_v1
-model_type: rerank
-model_properties:
-  context_size: 4096
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py b/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py
deleted file mode 100644
index 1c7b949018..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py
+++ /dev/null
@@ -1,135 +0,0 @@
-from typing import Optional
-
-import httpx
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-from core.model_runtime.model_providers.wenxin._common import _CommonWenxin
-from core.model_runtime.model_providers.wenxin.wenxin_errors import (
-    InternalServerError,
-    invoke_error_mapping,
-)
-
-
-class WenxinRerank(_CommonWenxin):
-    def rerank(self, model: str, query: str, docs: list[str], top_n: Optional[int] = None):
-        access_token = self._get_access_token()
-        url = f"{self.api_bases[model]}?access_token={access_token}"
-        # For issue #11252
-        # for wenxin Rerank model top_n length should be equal or less than docs length
-        if top_n is not None and top_n > len(docs):
-            top_n = len(docs)
-        # for wenxin Rerank model, query should not be an empty string
-        if query == "":
-            query = " "  # FIXME: this is a workaround for wenxin rerank model for better user experience.
-        try:
-            response = httpx.post(
-                url,
-                json={"model": model, "query": query, "documents": docs, "top_n": top_n},
-                headers={"Content-Type": "application/json"},
-            )
-            response.raise_for_status()
-            data = response.json()
-            # wenxin error handling
-            if "error_code" in data:
-                raise InternalServerError(data["error_msg"])
-            return data
-        except httpx.HTTPStatusError as e:
-            raise InternalServerError(str(e))
-
-
-class WenxinRerankModel(RerankModel):
-    """
-    Model class for wenxin rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        api_key = credentials["api_key"]
-        secret_key = credentials["secret_key"]
-
-        wenxin_rerank: WenxinRerank = WenxinRerank(api_key, secret_key)
-
-        try:
-            results = wenxin_rerank.rerank(model, query, docs, top_n)
-
-            rerank_documents = []
-            if "results" not in results:
-                raise ValueError("results key not found in response")
-
-            for result in results["results"]:
-                index = result["index"]
-                if "document" in result:
-                    text = result["document"]
-                else:
-                    # llama.cpp rerank maynot return original documents
-                    text = docs[index]
-
-                rerank_document = RerankDocument(
-                    index=index,
-                    text=text,
-                    score=result["relevance_score"],
-                )
-
-                if score_threshold is None or result["relevance_score"] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InternalServerError(str(e))
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return invoke_error_mapping()
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/__init__.py b/api/core/model_runtime/model_providers/wenxin/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml
deleted file mode 100644
index 74fadb7f9d..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: bge-large-en
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 16
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml
deleted file mode 100644
index d4af27ec38..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: bge-large-zh
-model_type: text-embedding
-model_properties:
-  context_size: 512
-  max_chunks: 16
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml
deleted file mode 100644
index eda48d9655..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: embedding-v1
-model_type: text-embedding
-model_properties:
-  context_size: 384
-  max_chunks: 16
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml
deleted file mode 100644
index e28f253eb6..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml
+++ /dev/null
@@ -1,9 +0,0 @@
-model: tao-8k
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-  max_chunks: 1
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py
deleted file mode 100644
index 816b3b98c4..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,186 +0,0 @@
-import time
-from abc import abstractmethod
-from json import dumps
-from typing import Any, Optional
-
-import numpy as np
-from requests import Response, post
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import InvokeError
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.wenxin._common import BaiduAccessToken, _CommonWenxin
-from core.model_runtime.model_providers.wenxin.wenxin_errors import (
-    BadRequestError,
-    InternalServerError,
-    invoke_error_mapping,
-)
-
-
-class TextEmbedding:
-    @abstractmethod
-    def embed_documents(self, model: str, texts: list[str], user: str) -> tuple[list[list[float]], int, int]:
-        raise NotImplementedError
-
-
-class WenxinTextEmbedding(_CommonWenxin, TextEmbedding):
-    def embed_documents(self, model: str, texts: list[str], user: str) -> tuple[list[list[float]], int, int]:
-        access_token = self._get_access_token()
-        url = f"{self.api_bases[model]}?access_token={access_token}"
-        body = self._build_embed_request_body(model, texts, user)
-        headers = {
-            "Content-Type": "application/json",
-        }
-
-        resp = post(url, data=dumps(body), headers=headers)
-        if resp.status_code != 200:
-            raise InternalServerError(f"Failed to invoke ernie bot: {resp.text}")
-        return self._handle_embed_response(model, resp)
-
-    def _build_embed_request_body(self, model: str, texts: list[str], user: str) -> dict[str, Any]:
-        if len(texts) == 0:
-            raise BadRequestError("The number of texts should not be zero.")
-        body = {
-            "input": texts,
-            "user_id": user,
-        }
-        return body
-
-    def _handle_embed_response(self, model: str, response: Response) -> tuple[list[list[float]], int, int]:
-        data = response.json()
-        if "error_code" in data:
-            code = data["error_code"]
-            msg = data["error_msg"]
-            # raise error
-            self._handle_error(code, msg)
-
-        embeddings = [v["embedding"] for v in data["data"]]
-        _usage = data["usage"]
-        tokens = _usage["prompt_tokens"]
-        total_tokens = _usage["total_tokens"]
-
-        return embeddings, tokens, total_tokens
-
-
-class WenxinTextEmbeddingModel(TextEmbeddingModel):
-    def _create_text_embedding(self, api_key: str, secret_key: str) -> TextEmbedding:
-        return WenxinTextEmbedding(api_key, secret_key)
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-
-        api_key = credentials["api_key"]
-        secret_key = credentials["secret_key"]
-        embedding: TextEmbedding = self._create_text_embedding(api_key, secret_key)
-        user = user or "ErnieBotDefault"
-
-        context_size = self._get_context_size(model, credentials)
-        max_chunks = self._get_max_chunks(model, credentials)
-        inputs = []
-        indices = []
-        used_tokens = 0
-        used_total_tokens = 0
-
-        for i, text in enumerate(texts):
-            # Here token count is only an approximation based on the GPT2 tokenizer
-            num_tokens = self._get_num_tokens_by_gpt2(text)
-
-            if num_tokens >= context_size:
-                cutoff = int(np.floor(len(text) * (context_size / num_tokens)))
-                # if num tokens is larger than context length, only use the start
-                inputs.append(text[0:cutoff])
-            else:
-                inputs.append(text)
-            indices += [i]
-
-        batched_embeddings = []
-        _iter = range(0, len(inputs), max_chunks)
-        for i in _iter:
-            embeddings_batch, _used_tokens, _total_used_tokens = embedding.embed_documents(
-                model, inputs[i : i + max_chunks], user
-            )
-            used_tokens += _used_tokens
-            used_total_tokens += _total_used_tokens
-            batched_embeddings += embeddings_batch
-
-        usage = self._calc_response_usage(model, credentials, used_tokens, used_total_tokens)
-        return TextEmbeddingResult(
-            model=model,
-            embeddings=batched_embeddings,
-            usage=usage,
-        )
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-        total_num_tokens = 0
-        for text in texts:
-            total_num_tokens += self._get_num_tokens_by_gpt2(text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        api_key = credentials["api_key"]
-        secret_key = credentials["secret_key"]
-        try:
-            BaiduAccessToken.get_access_token(api_key, secret_key)
-        except Exception as e:
-            raise CredentialsValidateFailedError(f"Credentials validation failed: {e}")
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return invoke_error_mapping()
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int, total_tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=total_tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin.py b/api/core/model_runtime/model_providers/wenxin/wenxin.py
deleted file mode 100644
index 895af20bc8..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/wenxin.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class WenxinProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `ernie-bot` model for validate,
-            model_instance.validate_credentials(model="ernie-bot", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin.yaml b/api/core/model_runtime/model_providers/wenxin/wenxin.yaml
deleted file mode 100644
index d8acfd8120..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/wenxin.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-provider: wenxin
-label:
-  en_US: WenXin
-  zh_Hans: 文心一言
-icon_small:
-  en_US: icon_s_en.png
-  zh_Hans: icon_s_en.png
-icon_large:
-  en_US: icon_l_en.png
-  zh_Hans: icon_l_zh.png
-background: "#E8F5FE"
-help:
-  title:
-    en_US: Get your API Key from WenXin
-    zh_Hans: 从文心一言获取您的 API Key
-  url:
-    en_US: https://cloud.baidu.com/wenxin.html
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: secret_key
-      label:
-        en_US: Secret Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 Secret Key
-        en_US: Enter your Secret Key
diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py b/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py
deleted file mode 100644
index bd074e0477..0000000000
--- a/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-def invoke_error_mapping() -> dict[type[InvokeError], list[type[Exception]]]:
-    """
-    Map model invoke error to unified error
-    The key is the error type thrown to the caller
-    The value is the error type thrown by the model,
-    which needs to be converted into a unified error type for the caller.
-
-    :return: Invoke error mapping
-    """
-    return {
-        InvokeConnectionError: [],
-        InvokeServerUnavailableError: [InternalServerError],
-        InvokeRateLimitError: [RateLimitReachedError],
-        InvokeAuthorizationError: [
-            InvalidAuthenticationError,
-            InsufficientAccountBalanceError,
-            InvalidAPIKeyError,
-        ],
-        InvokeBadRequestError: [BadRequestError, KeyError],
-    }
-
-
-class InvalidAuthenticationError(Exception):
-    pass
-
-
-class InvalidAPIKeyError(Exception):
-    pass
-
-
-class RateLimitReachedError(Exception):
-    pass
-
-
-class InsufficientAccountBalanceError(Exception):
-    pass
-
-
-class InternalServerError(Exception):
-    pass
-
-
-class BadRequestError(Exception):
-    pass
diff --git a/api/core/model_runtime/model_providers/x/__init__.py b/api/core/model_runtime/model_providers/x/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg b/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg
deleted file mode 100644
index f8b745cb13..0000000000
--- a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 24 24" aria-hidden="true" class="" focusable="false" style="fill:currentColor;height:28px;width:28px"><path d="m3.005 8.858 8.783 12.544h3.904L6.908 8.858zM6.905 15.825 3 21.402h3.907l1.951-2.788zM16.585 2l-6.75 9.64 1.953 2.79L20.492 2zM17.292 7.965v13.437h3.2V3.395z"></path></svg>
\ No newline at end of file
diff --git a/api/core/model_runtime/model_providers/x/llm/__init__.py b/api/core/model_runtime/model_providers/x/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml
deleted file mode 100644
index 24ea716a98..0000000000
--- a/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: grok-2-1212
-label:
-  en_US: grok-2-1212
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 2.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: 0
-    max: 2.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
-      zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml
deleted file mode 100644
index f224fa5757..0000000000
--- a/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: grok-2-vision-1212
-label:
-  en_US: grok-2-vision-1212
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 2.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: 0
-    max: 2.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
-      zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml
deleted file mode 100644
index 7f722539d9..0000000000
--- a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: grok-beta
-label:
-  en_US: grok-beta
-model_type: llm
-features:
-  - agent-thought
-  - tool-call
-  - multi-tool-call
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 2.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: 0
-    max: 2.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
-      zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml
deleted file mode 100644
index 1d81282534..0000000000
--- a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: grok-vision-beta
-label:
-  en_US: grok-vision-beta
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    label:
-      en_US: "Temperature"
-      zh_Hans: "采样温度"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 2.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: top_p
-    label:
-      en_US: "Top P"
-      zh_Hans: "Top P"
-    type: float
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    precision: 1
-    required: true
-    help:
-      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
-      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
-
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    label:
-      en_US: "Frequency Penalty"
-      zh_Hans: "频率惩罚"
-    type: float
-    default: 0
-    min: 0
-    max: 2.0
-    precision: 1
-    required: false
-    help:
-      en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
-      zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。"
-
-  - name: user
-    use_template: text
-    label:
-      en_US: "User"
-      zh_Hans: "用户"
-    type: string
-    required: false
-    help:
-      en_US: "Used to track and differentiate conversation requests from different users."
-      zh_Hans: "用于追踪和区分不同用户的对话请求。"
diff --git a/api/core/model_runtime/model_providers/x/llm/llm.py b/api/core/model_runtime/model_providers/x/llm/llm.py
deleted file mode 100644
index eacd086fee..0000000000
--- a/api/core/model_runtime/model_providers/x/llm/llm.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from yarl import URL
-
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-)
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class XAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @staticmethod
-    def _add_custom_parameters(credentials) -> None:
-        credentials["endpoint_url"] = str(URL(credentials["endpoint_url"])) or "https://api.x.ai/v1"
-        credentials["mode"] = LLMMode.CHAT.value
-        credentials["function_calling_type"] = "tool_call"
-        credentials["stream_function_calling"] = "support"
-        credentials["vision_support"] = "support"
diff --git a/api/core/model_runtime/model_providers/x/x.py b/api/core/model_runtime/model_providers/x/x.py
deleted file mode 100644
index e3f2b8eeba..0000000000
--- a/api/core/model_runtime/model_providers/x/x.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class XAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-            model_instance.validate_credentials(model="grok-beta", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/x/x.yaml b/api/core/model_runtime/model_providers/x/x.yaml
deleted file mode 100644
index 90d1cbfe7e..0000000000
--- a/api/core/model_runtime/model_providers/x/x.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-provider: x
-label:
-  en_US: xAI
-description:
-  en_US: xAI is a company working on building artificial intelligence to accelerate human scientific discovery. We are guided by our mission to advance our collective understanding of the universe.
-icon_small:
-  en_US: x-ai-logo.svg
-icon_large:
-  en_US: x-ai-logo.svg
-help:
-  title:
-    en_US: Get your token from xAI
-    zh_Hans: 从 xAI 获取 token
-  url:
-    en_US: https://x.ai/api
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        en_US: API Base
-      type: text-input
-      required: false
-      default: https://api.x.ai/v1
-      placeholder:
-        zh_Hans: 在此输入您的 API Base
-        en_US: Enter your API Base
diff --git a/api/core/model_runtime/model_providers/xinference/__init__.py b/api/core/model_runtime/model_providers/xinference/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg
deleted file mode 100644
index 8109176543..0000000000
--- a/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,42 +0,0 @@
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diff --git a/api/core/model_runtime/model_providers/xinference/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/xinference/_assets/icon_s_en.svg
deleted file mode 100644
index f5c5f75ea8..0000000000
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diff --git a/api/core/model_runtime/model_providers/xinference/llm/__init__.py b/api/core/model_runtime/model_providers/xinference/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py
deleted file mode 100644
index 7c77f7a0e1..0000000000
--- a/api/core/model_runtime/model_providers/xinference/llm/llm.py
+++ /dev/null
@@ -1,822 +0,0 @@
-from collections.abc import Generator, Iterator
-from typing import Optional, cast
-
-from openai import (
-    APIConnectionError,
-    APITimeoutError,
-    AuthenticationError,
-    ConflictError,
-    InternalServerError,
-    NotFoundError,
-    OpenAI,
-    PermissionDeniedError,
-    RateLimitError,
-    UnprocessableEntityError,
-)
-from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall
-from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall
-from openai.types.chat.chat_completion_message import FunctionCall
-from openai.types.completion import Completion
-from xinference_client.client.restful.restful_client import (  # type: ignore
-    Client,
-    RESTfulChatModelHandle,
-    RESTfulGenerateModelHandle,
-)
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    DefaultParameterName,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.xinference.xinference_helper import (
-    XinferenceHelper,
-    XinferenceModelExtraParameter,
-    validate_model_uid,
-)
-from core.model_runtime.utils import helper
-
-DEFAULT_MAX_RETRIES = 3
-DEFAULT_INVOKE_TIMEOUT = 60
-
-
-class XinferenceAILargeLanguageModel(LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        invoke LLM
-
-        see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._invoke`
-        """
-        if "temperature" in model_parameters:
-            if model_parameters["temperature"] < 0.01:
-                model_parameters["temperature"] = 0.01
-            elif model_parameters["temperature"] > 1.0:
-                model_parameters["temperature"] = 0.99
-
-        return self._generate(
-            model=model,
-            credentials=credentials,
-            prompt_messages=prompt_messages,
-            model_parameters=model_parameters,
-            tools=tools,
-            stop=stop,
-            stream=stream,
-            user=user,
-            extra_model_kwargs=XinferenceHelper.get_xinference_extra_parameter(
-                server_url=credentials["server_url"],
-                model_uid=credentials["model_uid"],
-                api_key=credentials.get("api_key"),
-            ),
-        )
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        validate credentials
-
-        credentials should be like:
-        {
-            'model_type': 'text-generation',
-            'server_url': 'server url',
-            'model_uid': 'model uid',
-        }
-        """
-        try:
-            if not validate_model_uid(credentials):
-                raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #")
-
-            extra_param = XinferenceHelper.get_xinference_extra_parameter(
-                server_url=credentials["server_url"],
-                model_uid=credentials["model_uid"],
-                api_key=credentials.get("api_key"),
-            )
-            if "completion_type" not in credentials:
-                if "chat" in extra_param.model_ability:
-                    credentials["completion_type"] = "chat"
-                elif "generate" in extra_param.model_ability:
-                    credentials["completion_type"] = "completion"
-                else:
-                    raise ValueError(
-                        f"xinference model ability {extra_param.model_ability} is not supported,"
-                        f" check if you have the right model type"
-                    )
-
-            if extra_param.support_function_call:
-                credentials["support_function_call"] = True
-
-            if extra_param.support_vision:
-                credentials["support_vision"] = True
-
-            if extra_param.context_length:
-                credentials["context_length"] = extra_param.context_length
-
-        except RuntimeError as e:
-            raise CredentialsValidateFailedError(f"Xinference credentials validate failed: {e}")
-        except KeyError as e:
-            raise CredentialsValidateFailedError(f"Xinference credentials validate failed: {e}")
-        except Exception as e:
-            raise e
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool] | None = None,
-    ) -> int:
-        """
-        get number of tokens
-
-        cause XinferenceAI LLM is a customized model, we could net detect which tokenizer to use
-        so we just take the GPT2 tokenizer as default
-        """
-        return self._num_tokens_from_messages(prompt_messages, tools)
-
-    def _num_tokens_from_messages(
-        self, messages: list[PromptMessage], tools: list[PromptMessageTool], is_completion_model: bool = False
-    ) -> int:
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        if is_completion_model:
-            return sum(tokens(str(message.content)) for message in messages)
-
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += tokens(t_key)
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += tokens(f_key)
-                                    num_tokens += tokens(f_value)
-                            else:
-                                num_tokens += tokens(t_key)
-                                num_tokens += tokens(t_value)
-                if key == "function_call":
-                    for t_key, t_value in value.items():
-                        num_tokens += tokens(t_key)
-                        if t_key == "function":
-                            for f_key, f_value in t_value.items():
-                                num_tokens += tokens(f_key)
-                                num_tokens += tokens(f_value)
-                        else:
-                            num_tokens += tokens(t_key)
-                            num_tokens += tokens(t_value)
-                else:
-                    num_tokens += tokens(str(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(tools)
-
-        return num_tokens
-
-    def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int:
-        """
-        Calculate num tokens for tool calling
-
-        :param encoding: encoding
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-
-        def tokens(text: str):
-            return self._get_num_tokens_by_gpt2(text)
-
-        num_tokens = 0
-        for tool in tools:
-            # calculate num tokens for function object
-            num_tokens += tokens("name")
-            num_tokens += tokens(tool.name)
-            num_tokens += tokens("description")
-            num_tokens += tokens(tool.description)
-            parameters = tool.parameters
-            num_tokens += tokens("parameters")
-            num_tokens += tokens("type")
-            num_tokens += tokens(parameters.get("type"))
-            if "properties" in parameters:
-                num_tokens += tokens("properties")
-                for key, value in parameters.get("properties").items():
-                    num_tokens += tokens(key)
-                    for field_key, field_value in value.items():
-                        num_tokens += tokens(field_key)
-                        if field_key == "enum":
-                            for enum_field in field_value:
-                                num_tokens += 3
-                                num_tokens += tokens(enum_field)
-                        else:
-                            num_tokens += tokens(field_key)
-                            num_tokens += tokens(str(field_value))
-            if "required" in parameters:
-                num_tokens += tokens("required")
-                for required_field in parameters["required"]:
-                    num_tokens += 3
-                    num_tokens += tokens(required_field)
-
-        return num_tokens
-
-    def _convert_prompt_message_to_text(self, message: list[PromptMessage]) -> str:
-        """
-        convert prompt message to text
-        """
-        text = ""
-        for item in message:
-            if isinstance(item, UserPromptMessage | SystemPromptMessage | AssistantPromptMessage):
-                text += item.content
-            else:
-                raise NotImplementedError(f"PromptMessage type {type(item)} is not supported")
-        return text
-
-    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
-        """
-        Convert PromptMessage to dict for OpenAI Compatibility API
-        """
-        if isinstance(message, UserPromptMessage):
-            message = cast(UserPromptMessage, message)
-            if isinstance(message.content, str):
-                message_dict = {"role": "user", "content": message.content}
-            else:
-                sub_messages = []
-                for message_content in message.content:
-                    if message_content.type == PromptMessageContentType.TEXT:
-                        message_content = cast(PromptMessageContent, message_content)
-                        sub_message_dict = {"type": "text", "text": message_content.data}
-                        sub_messages.append(sub_message_dict)
-                    elif message_content.type == PromptMessageContentType.IMAGE:
-                        message_content = cast(ImagePromptMessageContent, message_content)
-                        sub_message_dict = {
-                            "type": "image_url",
-                            "image_url": {"url": message_content.data, "detail": message_content.detail.value},
-                        }
-                        sub_messages.append(sub_message_dict)
-                message_dict = {"role": "user", "content": sub_messages}
-        elif isinstance(message, AssistantPromptMessage):
-            message = cast(AssistantPromptMessage, message)
-            message_dict = {"role": "assistant", "content": message.content}
-            if message.tool_calls and len(message.tool_calls) > 0:
-                message_dict["function_call"] = {
-                    "name": message.tool_calls[0].function.name,
-                    "arguments": message.tool_calls[0].function.arguments,
-                }
-        elif isinstance(message, SystemPromptMessage):
-            message = cast(SystemPromptMessage, message)
-            message_dict = {"role": "system", "content": message.content}
-        elif isinstance(message, ToolPromptMessage):
-            message = cast(ToolPromptMessage, message)
-            message_dict = {
-                "tool_call_id": message.tool_call_id,
-                "role": "tool",
-                "content": message.content,
-                "name": message.name,
-            }
-        else:
-            raise ValueError(f"Unknown message type {type(message)}")
-
-        return message_dict
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        rules = [
-            ParameterRule(
-                name="temperature",
-                type=ParameterType.FLOAT,
-                use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
-            ),
-            ParameterRule(
-                name="top_p",
-                type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="max_tokens",
-                type=ParameterType.INT,
-                use_template="max_tokens",
-                min=1,
-                max=credentials.get("context_length", 2048),
-                default=512,
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-            ParameterRule(
-                name=DefaultParameterName.PRESENCE_PENALTY,
-                use_template=DefaultParameterName.PRESENCE_PENALTY,
-                type=ParameterType.FLOAT,
-                label=I18nObject(
-                    en_US="Presence Penalty",
-                    zh_Hans="存在惩罚",
-                ),
-                required=False,
-                help=I18nObject(
-                    en_US="Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they "
-                    "appear in the text so far, increasing the model's likelihood to talk about new topics.",
-                    zh_Hans="介于 -2.0 和 2.0 之间的数字。正值会根据新词是否已出现在文本中对其进行惩罚，"
-                    "从而增加模型谈论新话题的可能性。",
-                ),
-                default=0.0,
-                min=-2.0,
-                max=2.0,
-                precision=2,
-            ),
-            ParameterRule(
-                name=DefaultParameterName.FREQUENCY_PENALTY,
-                use_template=DefaultParameterName.FREQUENCY_PENALTY,
-                type=ParameterType.FLOAT,
-                label=I18nObject(
-                    en_US="Frequency Penalty",
-                    zh_Hans="频率惩罚",
-                ),
-                required=False,
-                help=I18nObject(
-                    en_US="Number between -2.0 and 2.0. Positive values penalize new tokens based on their "
-                    "existing frequency in the text so far, decreasing the model's likelihood to repeat the "
-                    "same line verbatim.",
-                    zh_Hans="介于 -2.0 和 2.0 之间的数字。正值会根据新词在文本中的现有频率对其进行惩罚，"
-                    "从而降低模型逐字重复相同内容的可能性。",
-                ),
-                default=0.0,
-                min=-2.0,
-                max=2.0,
-                precision=2,
-            ),
-        ]
-
-        completion_type = None
-
-        if "completion_type" in credentials:
-            if credentials["completion_type"] == "chat":
-                completion_type = LLMMode.CHAT.value
-            elif credentials["completion_type"] == "completion":
-                completion_type = LLMMode.COMPLETION.value
-            else:
-                raise ValueError(f"completion_type {credentials['completion_type']} is not supported")
-        else:
-            extra_args = XinferenceHelper.get_xinference_extra_parameter(
-                server_url=credentials["server_url"],
-                model_uid=credentials["model_uid"],
-                api_key=credentials.get("api_key"),
-            )
-
-            if "chat" in extra_args.model_ability:
-                completion_type = LLMMode.CHAT.value
-            elif "generate" in extra_args.model_ability:
-                completion_type = LLMMode.COMPLETION.value
-            else:
-                raise ValueError(f"xinference model ability {extra_args.model_ability} is not supported")
-
-        features = []
-
-        support_function_call = credentials.get("support_function_call", False)
-        if support_function_call:
-            features.append(ModelFeature.TOOL_CALL)
-
-        support_vision = credentials.get("support_vision", False)
-        if support_vision:
-            features.append(ModelFeature.VISION)
-
-        context_length = credentials.get("context_length", 2048)
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.LLM,
-            features=features,
-            model_properties={ModelPropertyKey.MODE: completion_type, ModelPropertyKey.CONTEXT_SIZE: context_length},
-            parameter_rules=rules,
-        )
-
-        return entity
-
-    def _generate(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        extra_model_kwargs: XinferenceModelExtraParameter,
-        tools: list[PromptMessageTool] | None = None,
-        stop: list[str] | None = None,
-        stream: bool = True,
-        user: str | None = None,
-    ) -> LLMResult | Generator:
-        """
-        generate text from LLM
-
-        see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._generate`
-
-        extra_model_kwargs can be got by `XinferenceHelper.get_xinference_extra_parameter`
-        """
-        if "server_url" not in credentials:
-            raise CredentialsValidateFailedError("server_url is required in credentials")
-
-        credentials["server_url"] = credentials["server_url"].removesuffix("/")
-
-        api_key = credentials.get("api_key") or "abc"
-
-        client = OpenAI(
-            base_url=f"{credentials['server_url']}/v1",
-            api_key=api_key,
-            max_retries=int(credentials.get("max_retries") or DEFAULT_MAX_RETRIES),
-            timeout=int(credentials.get("invoke_timeout") or DEFAULT_INVOKE_TIMEOUT),
-        )
-
-        xinference_client = Client(
-            base_url=credentials["server_url"],
-            api_key=credentials.get("api_key"),
-        )
-
-        xinference_model = xinference_client.get_model(credentials["model_uid"])
-
-        generate_config = {
-            "temperature": model_parameters.get("temperature", 1.0),
-            "top_p": model_parameters.get("top_p", 0.7),
-            "max_tokens": model_parameters.get("max_tokens", 512),
-            "presence_penalty": model_parameters.get("presence_penalty", 0.0),
-            "frequency_penalty": model_parameters.get("frequency_penalty", 0.0),
-        }
-
-        if stop:
-            generate_config["stop"] = stop
-
-        if tools and len(tools) > 0:
-            generate_config["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools]
-        vision = credentials.get("support_vision", False)
-        if isinstance(xinference_model, RESTfulChatModelHandle):
-            resp = client.chat.completions.create(
-                model=credentials["model_uid"],
-                messages=[self._convert_prompt_message_to_dict(message) for message in prompt_messages],
-                stream=stream,
-                user=user,
-                **generate_config,
-            )
-            if stream:
-                if tools and len(tools) > 0:
-                    raise InvokeBadRequestError("xinference tool calls does not support stream mode")
-                return self._handle_chat_stream_response(
-                    model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp
-                )
-            return self._handle_chat_generate_response(
-                model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp
-            )
-        elif isinstance(xinference_model, RESTfulGenerateModelHandle):
-            resp = client.completions.create(
-                model=credentials["model_uid"],
-                prompt=self._convert_prompt_message_to_text(prompt_messages),
-                stream=stream,
-                user=user,
-                **generate_config,
-            )
-            if stream:
-                return self._handle_completion_stream_response(
-                    model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp
-                )
-            return self._handle_completion_generate_response(
-                model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp
-            )
-        else:
-            raise NotImplementedError(f"xinference model handle type {type(xinference_model)} is not supported")
-
-    def _extract_response_tool_calls(
-        self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall]
-    ) -> list[AssistantPromptMessage.ToolCall]:
-        """
-        Extract tool calls from response
-
-        :param response_tool_calls: response tool calls
-        :return: list of tool calls
-        """
-        tool_calls = []
-        if response_tool_calls:
-            for response_tool_call in response_tool_calls:
-                function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                    name=response_tool_call.function.name, arguments=response_tool_call.function.arguments
-                )
-
-                tool_call = AssistantPromptMessage.ToolCall(
-                    id=response_tool_call.id, type=response_tool_call.type, function=function
-                )
-                tool_calls.append(tool_call)
-
-        return tool_calls
-
-    def _extract_response_function_call(
-        self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall
-    ) -> AssistantPromptMessage.ToolCall:
-        """
-        Extract function call from response
-
-        :param response_function_call: response function call
-        :return: tool call
-        """
-        tool_call = None
-        if response_function_call:
-            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
-                name=response_function_call.name, arguments=response_function_call.arguments
-            )
-
-            tool_call = AssistantPromptMessage.ToolCall(
-                id=response_function_call.name, type="function", function=function
-            )
-
-        return tool_call
-
-    def _handle_chat_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: ChatCompletion,
-    ) -> LLMResult:
-        """
-        handle normal chat generate response
-        """
-        if len(resp.choices) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-
-        assistant_message = resp.choices[0].message
-
-        # convert tool call to assistant message tool call
-        tool_calls = assistant_message.tool_calls
-        assistant_prompt_message_tool_calls = self._extract_response_tool_calls(tool_calls or [])
-        function_call = assistant_message.function_call
-        if function_call:
-            assistant_prompt_message_tool_calls += [self._extract_response_function_call(function_call)]
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(
-            content=assistant_message.content, tool_calls=assistant_prompt_message_tool_calls
-        )
-
-        prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-        completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools)
-
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=resp.system_fingerprint,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _handle_chat_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Iterator[ChatCompletionChunk],
-    ) -> Generator:
-        """
-        handle stream chat generate response
-        """
-        full_response = ""
-        for chunk in resp:
-            if len(chunk.choices) == 0:
-                continue
-            delta = chunk.choices[0]
-            if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
-                continue
-            delta_content = delta.delta.content or ""
-            # check if there is a tool call in the response
-            function_call = None
-            tool_calls = []
-            if delta.delta.tool_calls:
-                tool_calls += delta.delta.tool_calls
-            if delta.delta.function_call:
-                function_call = delta.delta.function_call
-
-            assistant_message_tool_calls = self._extract_response_tool_calls(tool_calls)
-            if function_call:
-                assistant_message_tool_calls += [self._extract_response_function_call(function_call)]
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(
-                content=delta_content or "", tool_calls=assistant_message_tool_calls
-            )
-
-            if delta.finish_reason is not None:
-                # temp_assistant_prompt_message is used to calculate usage
-                temp_assistant_prompt_message = AssistantPromptMessage(
-                    content=full_response, tool_calls=assistant_message_tool_calls
-                )
-
-                prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools)
-                completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[])
-
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens,
-                )
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=0, message=assistant_prompt_message, finish_reason=delta.finish_reason, usage=usage
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                full_response += delta_content
-
-    def _handle_completion_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Completion,
-    ) -> LLMResult:
-        """
-        handle normal completion generate response
-        """
-        if len(resp.choices) == 0:
-            raise InvokeServerUnavailableError("Empty response")
-
-        assistant_message = resp.choices[0].text
-
-        # transform assistant message to prompt message
-        assistant_prompt_message = AssistantPromptMessage(content=assistant_message, tool_calls=[])
-
-        prompt_tokens = self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages))
-        completion_tokens = self._num_tokens_from_messages(
-            messages=[assistant_prompt_message], tools=[], is_completion_model=True
-        )
-        usage = self._calc_response_usage(
-            model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens
-        )
-
-        response = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=resp.system_fingerprint,
-            usage=usage,
-            message=assistant_prompt_message,
-        )
-
-        return response
-
-    def _handle_completion_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: list[PromptMessageTool],
-        resp: Iterator[Completion],
-    ) -> Generator:
-        """
-        handle stream completion generate response
-        """
-        full_response = ""
-
-        for chunk in resp:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(content=delta.text or "", tool_calls=[])
-
-            if delta.finish_reason is not None:
-                # temp_assistant_prompt_message is used to calculate usage
-                temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[])
-
-                prompt_tokens = self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages))
-                completion_tokens = self._num_tokens_from_messages(
-                    messages=[temp_assistant_prompt_message], tools=[], is_completion_model=True
-                )
-                usage = self._calc_response_usage(
-                    model=model,
-                    credentials=credentials,
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens,
-                )
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=0, message=assistant_prompt_message, finish_reason=delta.finish_reason, usage=usage
-                    ),
-                )
-            else:
-                if delta.text is None or delta.text == "":
-                    continue
-
-                yield LLMResultChunk(
-                    model=model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint=chunk.system_fingerprint,
-                    delta=LLMResultChunkDelta(
-                        index=0,
-                        message=assistant_prompt_message,
-                    ),
-                )
-
-                full_response += delta.text
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [
-                APIConnectionError,
-                APITimeoutError,
-            ],
-            InvokeServerUnavailableError: [
-                InternalServerError,
-                ConflictError,
-                NotFoundError,
-                UnprocessableEntityError,
-                PermissionDeniedError,
-            ],
-            InvokeRateLimitError: [RateLimitError],
-            InvokeAuthorizationError: [AuthenticationError],
-            InvokeBadRequestError: [ValueError],
-        }
diff --git a/api/core/model_runtime/model_providers/xinference/rerank/__init__.py b/api/core/model_runtime/model_providers/xinference/rerank/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py b/api/core/model_runtime/model_providers/xinference/rerank/rerank.py
deleted file mode 100644
index 078ec0537a..0000000000
--- a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py
+++ /dev/null
@@ -1,187 +0,0 @@
-from typing import Optional
-
-from xinference_client.client.restful.restful_client import Client, RESTfulRerankModelHandle  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid
-
-
-class XinferenceRerankModel(RerankModel):
-    """
-    Model class for Xinference rerank model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        query: str,
-        docs: list[str],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
-    ) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        server_url = credentials["server_url"]
-        model_uid = credentials["model_uid"]
-        api_key = credentials.get("api_key")
-        server_url = server_url.removesuffix("/")
-        auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
-
-        params = {"documents": docs, "query": query, "top_n": top_n, "return_documents": True}
-        try:
-            handle = RESTfulRerankModelHandle(model_uid, server_url, auth_headers)
-            response = handle.rerank(**params)
-        except RuntimeError as e:
-            if "rerank hasn't support extra parameter" not in str(e):
-                raise InvokeServerUnavailableError(str(e))
-
-            # compatible xinference server between v0.10.1 - v0.12.1, not support 'return_len'
-            handle = RESTfulRerankModelHandleWithoutExtraParameter(model_uid, server_url, auth_headers)
-            response = handle.rerank(**params)
-
-        rerank_documents = []
-        for idx, result in enumerate(response["results"]):
-            # format document
-            index = result["index"]
-            page_content = result["document"] if isinstance(result["document"], str) else result["document"]["text"]
-            rerank_document = RerankDocument(
-                index=index,
-                text=page_content,
-                score=result["relevance_score"],
-            )
-
-            # score threshold check
-            if score_threshold is None or result["relevance_score"] >= score_threshold:
-                rerank_documents.append(rerank_document)
-
-        return RerankResult(model=model, docs=rerank_documents)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            if not validate_model_uid(credentials):
-                raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #")
-
-            credentials["server_url"] = credentials["server_url"].removesuffix("/")
-
-            # initialize client
-            client = Client(
-                base_url=credentials["server_url"],
-                api_key=credentials.get("api_key"),
-            )
-
-            xinference_client = client.get_model(model_uid=credentials["model_uid"])
-
-            if not isinstance(xinference_client, RESTfulRerankModelHandle):
-                raise InvokeBadRequestError(
-                    "please check model type, the model you want to invoke is not a rerank model"
-                )
-
-            self.invoke(
-                model=model,
-                credentials=credentials,
-                query="Whose kasumi",
-                docs=[
-                    'Kasumi is a girl\'s name of Japanese origin meaning "mist".',
-                    "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",
-                    "and she leads a team named PopiParty.",
-                ],
-                score_threshold=0.8,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.RERANK,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
-
-
-class RESTfulRerankModelHandleWithoutExtraParameter(RESTfulRerankModelHandle):
-    def rerank(
-        self,
-        documents: list[str],
-        query: str,
-        top_n: Optional[int] = None,
-        max_chunks_per_doc: Optional[int] = None,
-        return_documents: Optional[bool] = None,
-        **kwargs,
-    ):
-        url = f"{self._base_url}/v1/rerank"
-        request_body = {
-            "model": self._model_uid,
-            "documents": documents,
-            "query": query,
-            "top_n": top_n,
-            "max_chunks_per_doc": max_chunks_per_doc,
-            "return_documents": return_documents,
-        }
-
-        import requests
-
-        response = requests.post(url, json=request_body, headers=self.auth_headers)
-        if response.status_code != 200:
-            raise InvokeServerUnavailableError(f"Failed to rerank documents, detail: {response.json()['detail']}")
-        response_data = response.json()
-        return response_data
diff --git a/api/core/model_runtime/model_providers/xinference/speech2text/__init__.py b/api/core/model_runtime/model_providers/xinference/speech2text/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py b/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py
deleted file mode 100644
index 5f330ece1a..0000000000
--- a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py
+++ /dev/null
@@ -1,145 +0,0 @@
-from typing import IO, Optional
-
-from xinference_client.client.restful.restful_client import Client, RESTfulAudioModelHandle  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel
-from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid
-
-
-class XinferenceSpeech2TextModel(Speech2TextModel):
-    """
-    Model class for Xinference speech to text model.
-    """
-
-    def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: audio file
-        :param user: unique user id
-        :return: text for given audio file
-        """
-        return self._speech2text_invoke(model, credentials, file)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            if not validate_model_uid(credentials):
-                raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #")
-
-            credentials["server_url"] = credentials["server_url"].removesuffix("/")
-
-            # initialize client
-            client = Client(
-                base_url=credentials["server_url"],
-                api_key=credentials.get("api_key"),
-            )
-
-            xinference_client = client.get_model(model_uid=credentials["model_uid"])
-
-            if not isinstance(xinference_client, RESTfulAudioModelHandle):
-                raise InvokeBadRequestError(
-                    "please check model type, the model you want to invoke is not a audio model"
-                )
-
-            audio_file_path = self._get_demo_file_path()
-
-            with open(audio_file_path, "rb") as audio_file:
-                self.invoke(model, credentials, audio_file)
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def _speech2text_invoke(
-        self,
-        model: str,
-        credentials: dict,
-        file: IO[bytes],
-        language: Optional[str] = None,
-        prompt: Optional[str] = None,
-        response_format: Optional[str] = "json",
-        temperature: Optional[float] = 0,
-    ) -> str:
-        """
-        Invoke speech2text model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param file: The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg,
-          mpga, m4a, ogg, wav, or webm.
-        :param language: The language of the input audio. Supplying the input language in ISO-639-1
-        :param prompt: An optional text to guide the model's style or continue a previous audio segment.
-            The prompt should match the audio language.
-        :param response_format: The format of the transcript output, in one of these options: json, text, srt,
-          verbose_json, or vtt.
-        :param temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more
-          random,while lower values like 0.2 will make it more focused and deterministic.If set to 0, the model will use
-          log probability to automatically increase the temperature until certain thresholds are hit.
-        :return: text for given audio file
-        """
-        server_url = credentials["server_url"]
-        model_uid = credentials["model_uid"]
-        api_key = credentials.get("api_key")
-        server_url = server_url.removesuffix("/")
-        auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
-
-        try:
-            handle = RESTfulAudioModelHandle(model_uid, server_url, auth_headers)
-            response = handle.transcriptions(
-                audio=file, language=language, prompt=prompt, response_format=response_format, temperature=temperature
-            )
-        except RuntimeError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-        return response["text"]
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.SPEECH2TEXT,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/xinference/text_embedding/__init__.py b/api/core/model_runtime/model_providers/xinference/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py
deleted file mode 100644
index 9054aabab2..0000000000
--- a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,204 +0,0 @@
-import time
-from typing import Optional
-
-from xinference_client.client.restful.restful_client import Client, RESTfulEmbeddingModelHandle  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid
-
-
-class XinferenceTextEmbeddingModel(TextEmbeddingModel):
-    """
-    Model class for Xinference text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        credentials should be like:
-        {
-            'server_url': 'server url',
-            'model_uid': 'model uid',
-        }
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        server_url = credentials["server_url"]
-        model_uid = credentials["model_uid"]
-        api_key = credentials.get("api_key")
-        server_url = server_url.removesuffix("/")
-        auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
-
-        try:
-            handle = RESTfulEmbeddingModelHandle(model_uid, server_url, auth_headers)
-            embeddings = handle.create_embedding(input=texts)
-        except RuntimeError as e:
-            raise InvokeServerUnavailableError(str(e))
-
-        """
-        for convenience, the response json is like:
-        class Embedding(TypedDict):
-            object: Literal["list"]
-            model: str
-            data: List[EmbeddingData]
-            usage: EmbeddingUsage
-        class EmbeddingUsage(TypedDict):
-            prompt_tokens: int
-            total_tokens: int
-        class EmbeddingData(TypedDict):
-            index: int
-            object: str
-            embedding: List[float]
-        """
-
-        usage = embeddings["usage"]
-        usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"])
-
-        result = TextEmbeddingResult(
-            model=model, embeddings=[embedding["embedding"] for embedding in embeddings["data"]], usage=usage
-        )
-
-        return result
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        num_tokens = 0
-        for text in texts:
-            # use GPT2Tokenizer to get num tokens
-            num_tokens += self._get_num_tokens_by_gpt2(text)
-        return num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            if not validate_model_uid(credentials):
-                raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #")
-
-            server_url = credentials["server_url"]
-            model_uid = credentials["model_uid"]
-            api_key = credentials.get("api_key")
-            extra_args = XinferenceHelper.get_xinference_extra_parameter(
-                server_url=server_url,
-                model_uid=model_uid,
-                api_key=api_key,
-            )
-
-            if extra_args.max_tokens:
-                credentials["max_tokens"] = extra_args.max_tokens
-            server_url = server_url.removesuffix("/")
-
-            client = Client(
-                base_url=server_url,
-                api_key=api_key,
-            )
-
-            try:
-                handle = client.get_model(model_uid=model_uid)
-            except RuntimeError as e:
-                raise InvokeAuthorizationError(str(e))
-
-            if not isinstance(handle, RESTfulEmbeddingModelHandle):
-                raise InvokeBadRequestError(
-                    "please check model type, the model you want to invoke is not a text embedding model"
-                )
-
-            self._invoke(model=model, credentials=credentials, texts=["ping"])
-        except InvokeAuthorizationError as e:
-            raise CredentialsValidateFailedError(f"Failed to validate credentials for model {model}: {e}")
-        except RuntimeError as e:
-            raise CredentialsValidateFailedError(e)
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [KeyError],
-        }
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param credentials: model credentials
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TEXT_EMBEDDING,
-            model_properties={
-                ModelPropertyKey.MAX_CHUNKS: 1,
-                ModelPropertyKey.CONTEXT_SIZE: "max_tokens" in credentials and credentials["max_tokens"] or 512,
-            },
-            parameter_rules=[],
-        )
-
-        return entity
diff --git a/api/core/model_runtime/model_providers/xinference/tts/__init__.py b/api/core/model_runtime/model_providers/xinference/tts/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/xinference/tts/tts.py b/api/core/model_runtime/model_providers/xinference/tts/tts.py
deleted file mode 100644
index 8aa39d4de0..0000000000
--- a/api/core/model_runtime/model_providers/xinference/tts/tts.py
+++ /dev/null
@@ -1,231 +0,0 @@
-import concurrent.futures
-from typing import Any, Optional
-
-from xinference_client.client.restful.restful_client import RESTfulAudioModelHandle  # type: ignore
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.tts_model import TTSModel
-from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid
-
-
-class XinferenceText2SpeechModel(TTSModel):
-    def __init__(self):
-        # preset voices, need support custom voice
-        self.model_voices = {
-            "__default": {
-                "all": [
-                    {"name": "Default", "value": "default"},
-                ]
-            },
-            "ChatTTS": {
-                "all": [
-                    {"name": "Alloy", "value": "alloy"},
-                    {"name": "Echo", "value": "echo"},
-                    {"name": "Fable", "value": "fable"},
-                    {"name": "Onyx", "value": "onyx"},
-                    {"name": "Nova", "value": "nova"},
-                    {"name": "Shimmer", "value": "shimmer"},
-                ]
-            },
-            "CosyVoice": {
-                "zh-Hans": [
-                    {"name": "中文男", "value": "中文男"},
-                    {"name": "中文女", "value": "中文女"},
-                    {"name": "粤语女", "value": "粤语女"},
-                ],
-                "zh-Hant": [
-                    {"name": "中文男", "value": "中文男"},
-                    {"name": "中文女", "value": "中文女"},
-                    {"name": "粤语女", "value": "粤语女"},
-                ],
-                "en-US": [
-                    {"name": "英文男", "value": "英文男"},
-                    {"name": "英文女", "value": "英文女"},
-                ],
-                "ja-JP": [
-                    {"name": "日语男", "value": "日语男"},
-                ],
-                "ko-KR": [
-                    {"name": "韩语女", "value": "韩语女"},
-                ],
-            },
-        }
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            if not validate_model_uid(credentials):
-                raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #")
-
-            credentials["server_url"] = credentials["server_url"].removesuffix("/")
-            api_key = credentials.get("api_key")
-            if api_key is None:
-                raise CredentialsValidateFailedError("api_key is required")
-
-            extra_param = XinferenceHelper.get_xinference_extra_parameter(
-                server_url=credentials["server_url"],
-                model_uid=credentials["model_uid"],
-                api_key=api_key,
-            )
-
-            if "text-to-audio" not in extra_param.model_ability:
-                raise InvokeBadRequestError(
-                    "please check model type, the model you want to invoke is not a text-to-audio model"
-                )
-
-            if extra_param.model_family and extra_param.model_family in self.model_voices:
-                credentials["audio_model_name"] = extra_param.model_family
-            else:
-                credentials["audio_model_name"] = "__default"
-
-            self._tts_invoke_streaming(
-                model=model,
-                credentials=credentials,
-                content_text="Hello Dify!",
-                voice=self._get_model_default_voice(model, credentials),
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _invoke(
-        self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None
-    ):
-        """
-        _invoke text2speech model
-
-        :param model: model name
-        :param tenant_id: user tenant id
-        :param credentials: model credentials
-        :param voice: model timbre
-        :param content_text: text content to be translated
-        :param user: unique user id
-        :return: text translated to audio file
-        """
-        return self._tts_invoke_streaming(model, credentials, content_text, voice)
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]:
-        """
-        used to define customizable model schema
-        """
-
-        entity = AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model),
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_type=ModelType.TTS,
-            model_properties={},
-            parameter_rules=[],
-        )
-
-        return entity
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [InvokeConnectionError],
-            InvokeServerUnavailableError: [InvokeServerUnavailableError],
-            InvokeRateLimitError: [InvokeRateLimitError],
-            InvokeAuthorizationError: [InvokeAuthorizationError],
-            InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError],
-        }
-
-    def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list:
-        audio_model_name = credentials.get("audio_model_name", "__default")
-        for key, voices in self.model_voices.items():
-            if key in audio_model_name:
-                if language and language in voices:
-                    return voices[language]
-                elif "all" in voices:
-                    return voices["all"]
-                else:
-                    all_voices = []
-                    for lang, lang_voices in voices.items():
-                        all_voices.extend(lang_voices)
-                    return all_voices
-
-        return self.model_voices["__default"]["all"]
-
-    def _get_model_default_voice(self, model: str, credentials: dict) -> Any:
-        return ""
-
-    def _get_model_word_limit(self, model: str, credentials: dict) -> int:
-        return 3500
-
-    def _get_model_audio_type(self, model: str, credentials: dict) -> str:
-        return "mp3"
-
-    def _get_model_workers_limit(self, model: str, credentials: dict) -> int:
-        return 5
-
-    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any:
-        """
-        _tts_invoke_streaming text2speech model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param content_text: text content to be translated
-        :param voice: model timbre
-        :return: text translated to audio file
-        """
-        credentials["server_url"] = credentials["server_url"].removesuffix("/")
-
-        try:
-            api_key = credentials.get("api_key")
-            auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
-            handle = RESTfulAudioModelHandle(
-                credentials["model_uid"], credentials["server_url"], auth_headers=auth_headers
-            )
-
-            model_support_voice = [
-                x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials)
-            ]
-            if not voice or voice not in model_support_voice:
-                voice = self._get_model_default_voice(model, credentials)
-            word_limit = self._get_model_word_limit(model, credentials)
-            if len(content_text) > word_limit:
-                sentences = self._split_text_into_sentences(content_text, max_length=word_limit)
-                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
-                futures = [
-                    executor.submit(
-                        handle.speech, input=sentences[i], voice=voice, response_format="mp3", speed=1.0, stream=True
-                    )
-                    for i in range(len(sentences))
-                ]
-
-                for future in futures:
-                    response = future.result()
-                    for chunk in response:
-                        yield chunk
-            else:
-                response = handle.speech(
-                    input=content_text.strip(), voice=voice, response_format="mp3", speed=1.0, stream=True
-                )
-
-                for chunk in response:
-                    yield chunk
-        except Exception as ex:
-            raise InvokeBadRequestError(str(ex))
diff --git a/api/core/model_runtime/model_providers/xinference/xinference.py b/api/core/model_runtime/model_providers/xinference/xinference.py
deleted file mode 100644
index d85f7c82e7..0000000000
--- a/api/core/model_runtime/model_providers/xinference/xinference.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import logging
-
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class XinferenceAIProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/model_runtime/model_providers/xinference/xinference.yaml b/api/core/model_runtime/model_providers/xinference/xinference.yaml
deleted file mode 100644
index 3500136693..0000000000
--- a/api/core/model_runtime/model_providers/xinference/xinference.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-provider: xinference
-label:
-  en_US: Xorbits Inference
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FAF5FF"
-help:
-  title:
-    en_US: How to deploy Xinference
-    zh_Hans: 如何部署 Xinference
-  url:
-    en_US: https://github.com/xorbitsai/inference
-supported_model_types:
-  - llm
-  - text-embedding
-  - rerank
-  - speech2text
-  - tts
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: server_url
-      label:
-        zh_Hans: 服务器URL
-        en_US: Server url
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入Xinference的服务器地址，如 http://192.168.1.100:9997
-        en_US: Enter the url of your Xinference, e.g. http://192.168.1.100:9997
-    - variable: model_uid
-      label:
-        zh_Hans: 模型UID
-        en_US: Model uid
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的Model UID
-        en_US: Enter the model uid
-    - variable: api_key
-      label:
-        zh_Hans: API密钥
-        en_US: API key
-      type: secret-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的API密钥
-        en_US: Enter the api key
-    - variable: invoke_timeout
-      label:
-        zh_Hans: 调用超时时间 (单位:秒)
-        en_US: invoke timeout (unit:second)
-      type: text-input
-      required: true
-      default: '60'
-      placeholder:
-        zh_Hans: 在此输入调用超时时间
-        en_US: Enter invoke timeout value
-    - variable: max_retries
-      label:
-        zh_Hans: 调用重试次数
-        en_US: max retries
-      type: text-input
-      required: true
-      default: '3'
-      placeholder:
-        zh_Hans: 在此输入调用重试次数
-        en_US: Enter max retries
diff --git a/api/core/model_runtime/model_providers/xinference/xinference_helper.py b/api/core/model_runtime/model_providers/xinference/xinference_helper.py
deleted file mode 100644
index b51423f4ed..0000000000
--- a/api/core/model_runtime/model_providers/xinference/xinference_helper.py
+++ /dev/null
@@ -1,151 +0,0 @@
-from threading import Lock
-from time import time
-from typing import Any, Optional
-
-from requests.adapters import HTTPAdapter
-from requests.exceptions import ConnectionError, MissingSchema, Timeout
-from requests.sessions import Session
-from yarl import URL
-
-
-class XinferenceModelExtraParameter:
-    model_format: str
-    model_handle_type: str
-    model_ability: list[str]
-    max_tokens: int = 512
-    context_length: int = 2048
-    support_function_call: bool = False
-    support_vision: bool = False
-    model_family: Optional[str]
-
-    def __init__(
-        self,
-        model_format: str,
-        model_handle_type: str,
-        model_ability: list[str],
-        support_function_call: bool,
-        support_vision: bool,
-        max_tokens: int,
-        context_length: int,
-        model_family: Optional[str],
-    ) -> None:
-        self.model_format = model_format
-        self.model_handle_type = model_handle_type
-        self.model_ability = model_ability
-        self.support_function_call = support_function_call
-        self.support_vision = support_vision
-        self.max_tokens = max_tokens
-        self.context_length = context_length
-        self.model_family = model_family
-
-
-cache: dict[str, dict[str, Any]] = {}
-cache_lock = Lock()
-
-
-class XinferenceHelper:
-    @staticmethod
-    def get_xinference_extra_parameter(
-        server_url: str, model_uid: str, api_key: str | None
-    ) -> XinferenceModelExtraParameter:
-        XinferenceHelper._clean_cache()
-        with cache_lock:
-            if model_uid not in cache:
-                cache[model_uid] = {
-                    "expires": time() + 300,
-                    "value": XinferenceHelper._get_xinference_extra_parameter(server_url, model_uid, api_key),
-                }
-            return cache[model_uid]["value"]
-
-    @staticmethod
-    def _clean_cache() -> None:
-        try:
-            with cache_lock:
-                expired_keys = [model_uid for model_uid, model in cache.items() if model["expires"] < time()]
-                for model_uid in expired_keys:
-                    del cache[model_uid]
-        except RuntimeError as e:
-            pass
-
-    @staticmethod
-    def _get_xinference_extra_parameter(
-        server_url: str, model_uid: str, api_key: str | None
-    ) -> XinferenceModelExtraParameter:
-        """
-        get xinference model extra parameter like model_format and model_handle_type
-        """
-
-        if not model_uid or not model_uid.strip() or not server_url or not server_url.strip():
-            raise RuntimeError("model_uid is empty")
-
-        url = str(URL(server_url) / "v1" / "models" / model_uid)
-
-        # this method is surrounded by a lock, and default requests may hang forever,
-        # so we just set a Adapter with max_retries=3
-        session = Session()
-        session.mount("http://", HTTPAdapter(max_retries=3))
-        session.mount("https://", HTTPAdapter(max_retries=3))
-        headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
-
-        try:
-            response = session.get(url, headers=headers, timeout=10)
-        except (MissingSchema, ConnectionError, Timeout) as e:
-            raise RuntimeError(f"get xinference model extra parameter failed, url: {url}, error: {e}")
-        if response.status_code != 200:
-            raise RuntimeError(
-                f"get xinference model extra parameter failed, status code: {response.status_code},"
-                f" response: {response.text}"
-            )
-
-        response_json = response.json()
-
-        model_format = response_json.get("model_format", "ggmlv3")
-        model_ability = response_json.get("model_ability", [])
-        model_family = response_json.get("model_family", None)
-
-        if response_json.get("model_type") == "embedding":
-            model_handle_type = "embedding"
-        elif response_json.get("model_type") == "audio":
-            model_handle_type = "audio"
-            if model_family and model_family in {"ChatTTS", "CosyVoice", "FishAudio"}:
-                model_ability.append("text-to-audio")
-            else:
-                model_ability.append("audio-to-text")
-        elif model_format == "ggmlv3" and "chatglm" in response_json["model_name"]:
-            model_handle_type = "chatglm"
-        elif "generate" in model_ability:
-            model_handle_type = "generate"
-        elif "chat" in model_ability:
-            model_handle_type = "chat"
-        else:
-            raise NotImplementedError("xinference model handle type is not supported")
-
-        support_function_call = "tools" in model_ability
-        support_vision = "vision" in model_ability
-        max_tokens = response_json.get("max_tokens", 512)
-
-        context_length = response_json.get("context_length", 2048)
-
-        return XinferenceModelExtraParameter(
-            model_format=model_format,
-            model_handle_type=model_handle_type,
-            model_ability=model_ability,
-            support_function_call=support_function_call,
-            support_vision=support_vision,
-            max_tokens=max_tokens,
-            context_length=context_length,
-            model_family=model_family,
-        )
-
-
-def validate_model_uid(credentials: dict) -> bool:
-    """
-    Validate the model_uid within the credentials dictionary to ensure it does not
-    contain forbidden characters ("/", "?", "#").
-
-    param credentials: model credentials
-    :return: True if the model_uid does not contain forbidden characters ("/", "?", "#"), else False.
-    """
-    forbidden_characters = ["/", "?", "#"]
-    model_uid = credentials.get("model_uid", "")
-    return not any(char in forbidden_characters for char in model_uid)
diff --git a/api/core/model_runtime/model_providers/yi/__init__.py b/api/core/model_runtime/model_providers/yi/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg
deleted file mode 100644
index 9ce3baddaa..0000000000
--- a/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<svg width="64" height="24" viewBox="0 0 64 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-    <path fill-rule="evenodd" clip-rule="evenodd" d="M1.28808 1.39558C1.76461 1.00315 2.46905 1.07132 2.86149 1.54785L7.7517 7.48596C8.14414 7.96249 8.07597 8.66693 7.59944 9.05937C7.1229 9.45181 6.41847 9.38363 6.02603 8.9071L1.13582 2.96899C0.743382 2.49246 0.811553 1.78802 1.28808 1.39558Z" fill="#133426"/>
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diff --git a/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg
deleted file mode 100644
index eb0395a21c..0000000000
--- a/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-    <rect x="1" y="1" width="22" height="22" rx="5" fill="#133426"/>
-    <path fill-rule="evenodd" clip-rule="evenodd" d="M4.52004 4.43887C4.87945 4.1429 5.41077 4.19431 5.70676 4.55371L9.39515 9.03221C9.69114 9.39161 9.63972 9.92289 9.2803 10.2189C8.92089 10.5148 8.38957 10.4634 8.09358 10.104L4.40519 5.62553C4.1092 5.26613 4.16062 4.73485 4.52004 4.43887Z" fill="white"/>
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-    <ellipse cx="18.4761" cy="11.1782" rx="1.31008" ry="1.31" fill="#00FF00"/>
-    </svg>
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diff --git a/api/core/model_runtime/model_providers/yi/llm/__init__.py b/api/core/model_runtime/model_providers/yi/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/yi/llm/_position.yaml b/api/core/model_runtime/model_providers/yi/llm/_position.yaml
deleted file mode 100644
index 5fa098beda..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/_position.yaml
+++ /dev/null
@@ -1,10 +0,0 @@
-- yi-34b-chat-0205
-- yi-34b-chat-200k
-- yi-vl-plus
-- yi-large
-- yi-medium
-- yi-vision
-- yi-medium-200k
-- yi-spark
-- yi-large-turbo
-- yi-lightning
diff --git a/api/core/model_runtime/model_providers/yi/llm/llm.py b/api/core/model_runtime/model_providers/yi/llm/llm.py
deleted file mode 100644
index f5b61e2076..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/llm.py
+++ /dev/null
@@ -1,192 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-from urllib.parse import urlparse
-
-import tiktoken
-
-from core.model_runtime.entities.common_entities import I18nObject
-from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
-from core.model_runtime.entities.message_entities import (
-    PromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-)
-from core.model_runtime.entities.model_entities import (
-    AIModelEntity,
-    FetchFrom,
-    ModelFeature,
-    ModelPropertyKey,
-    ModelType,
-    ParameterRule,
-    ParameterType,
-)
-from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel
-
-
-class YiLargeLanguageModel(OpenAILargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-
-        # yi-vl-plus not support system prompt yet.
-        if model == "yi-vl-plus":
-            prompt_message_except_system: list[PromptMessage] = []
-            for message in prompt_messages:
-                if not isinstance(message, SystemPromptMessage):
-                    prompt_message_except_system.append(message)
-            return super()._invoke(
-                model, credentials, prompt_message_except_system, model_parameters, tools, stop, stream
-            )
-
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    # refactored from openai model runtime, use cl100k_base for calculate token number
-    def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int:
-        """
-        Calculate num tokens for text completion model with tiktoken package.
-
-        :param model: model name
-        :param text: prompt text
-        :param tools: tools for tool calling
-        :return: number of tokens
-        """
-        encoding = tiktoken.get_encoding("cl100k_base")
-        num_tokens = len(encoding.encode(text))
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    # refactored from openai model runtime, use cl100k_base for calculate token number
-    def _num_tokens_from_messages(
-        self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> int:
-        """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
-
-        Official documentation: https://github.com/openai/openai-cookbook/blob/
-        main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
-        encoding = tiktoken.get_encoding("cl100k_base")
-        tokens_per_message = 3
-        tokens_per_name = 1
-
-        num_tokens = 0
-        messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages]
-        for message in messages_dict:
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                # Cast str(value) in case the message value is not a string
-                # This occurs with function messages
-                # TODO: The current token calculation method for the image type is not implemented,
-                #  which need to download the image and then get the resolution for calculation,
-                #  and will increase the request delay
-                if isinstance(value, list):
-                    text = ""
-                    for item in value:
-                        if isinstance(item, dict) and item["type"] == "text":
-                            text += item["text"]
-
-                    value = text
-
-                if key == "tool_calls":
-                    for tool_call in value:
-                        for t_key, t_value in tool_call.items():
-                            num_tokens += len(encoding.encode(t_key))
-                            if t_key == "function":
-                                for f_key, f_value in t_value.items():
-                                    num_tokens += len(encoding.encode(f_key))
-                                    num_tokens += len(encoding.encode(f_value))
-                            else:
-                                num_tokens += len(encoding.encode(t_key))
-                                num_tokens += len(encoding.encode(t_value))
-                else:
-                    num_tokens += len(encoding.encode(str(value)))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if tools:
-            num_tokens += self._num_tokens_for_tools(encoding, tools)
-
-        return num_tokens
-
-    @staticmethod
-    def _add_custom_parameters(credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["openai_api_key"] = credentials["api_key"]
-        if "endpoint_url" not in credentials or credentials["endpoint_url"] == "":
-            credentials["openai_api_base"] = "https://api.lingyiwanwu.com"
-        else:
-            parsed_url = urlparse(credentials["endpoint_url"])
-            credentials["openai_api_base"] = f"{parsed_url.scheme}://{parsed_url.netloc}"
-
-    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
-        return AIModelEntity(
-            model=model,
-            label=I18nObject(en_US=model, zh_Hans=model),
-            model_type=ModelType.LLM,
-            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
-            if credentials.get("function_calling_type") == "tool_call"
-            else [],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)),
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name="temperature",
-                    use_template="temperature",
-                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="max_tokens",
-                    use_template="max_tokens",
-                    default=512,
-                    min=1,
-                    max=int(credentials.get("max_tokens", 8192)),
-                    label=I18nObject(
-                        en_US="Max Tokens", zh_Hans="指定生成结果长度的上限。如果生成结果截断，可以调大该参数"
-                    ),
-                    type=ParameterType.INT,
-                ),
-                ParameterRule(
-                    name="top_p",
-                    use_template="top_p",
-                    label=I18nObject(
-                        en_US="Top P",
-                        zh_Hans="控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。",
-                    ),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="top_k",
-                    use_template="top_k",
-                    label=I18nObject(en_US="Top K", zh_Hans="取样数量"),
-                    type=ParameterType.FLOAT,
-                ),
-                ParameterRule(
-                    name="frequency_penalty",
-                    use_template="frequency_penalty",
-                    label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"),
-                    type=ParameterType.FLOAT,
-                ),
-            ],
-        )
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml
deleted file mode 100644
index ea3d8f5dce..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-34b-chat-0205
-label:
-  zh_Hans: yi-34b-chat-0205
-  en_US: yi-34b-chat-0205
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4000
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '2.5'
-  output: '2.5'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml
deleted file mode 100644
index d91f984d7f..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-34b-chat-200k
-label:
-  zh_Hans: yi-34b-chat-200k
-  en_US: yi-34b-chat-200k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 200000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.6
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 4096
-    min: 1
-    max: 199950
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '12'
-  output: '12'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml
deleted file mode 100644
index 1d00eca2ca..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-large-turbo
-label:
-  zh_Hans: yi-large-turbo
-  en_US: yi-large-turbo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 16384
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '12'
-  output: '12'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml
deleted file mode 100644
index 347f511280..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-large
-label:
-  zh_Hans: yi-large
-  en_US: yi-large
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 16384
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '20'
-  output: '20'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml
deleted file mode 100644
index fccf1b3a26..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-lightning
-label:
-  zh_Hans: yi-lightning
-  en_US: yi-lightning
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 4000
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '0.99'
-  output: '0.99'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml
deleted file mode 100644
index e8ddbcba97..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-medium-200k
-label:
-  zh_Hans: yi-medium-200k
-  en_US: yi-medium-200k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 204800
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 204800
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '12'
-  output: '12'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml
deleted file mode 100644
index 4f0244d1f5..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-medium
-label:
-  zh_Hans: yi-medium
-  en_US: yi-medium
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 16384
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '2.5'
-  output: '2.5'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml
deleted file mode 100644
index e28e9fd8c0..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-spark
-label:
-  zh_Hans: yi-spark
-  en_US: yi-spark
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 16384
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 16384
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '1'
-  output: '1'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml
deleted file mode 100644
index bce34f5836..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml
+++ /dev/null
@@ -1,44 +0,0 @@
-model: yi-vision
-label:
-  zh_Hans: yi-vision
-  en_US: yi-vision
-model_type: llm
-features:
-  - agent-thought
-  - vision
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 1024
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.9
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '6'
-  output: '6'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml
deleted file mode 100644
index 461c68583f..0000000000
--- a/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: yi-vl-plus
-label:
-  zh_Hans: yi-vl-plus
-  en_US: yi-vl-plus
-model_type: llm
-features:
-  - vision
-model_properties:
-  mode: chat
-  context_size: 4096
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    type: float
-    default: 0.3
-    min: 0.0
-    max: 2.0
-    help:
-      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
-      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4000
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-    type: float
-    default: 0.8
-    min: 0.01
-    max: 1.00
-    help:
-      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
-      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
-pricing:
-  input: '6'
-  output: '6'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/yi/yi.py b/api/core/model_runtime/model_providers/yi/yi.py
deleted file mode 100644
index 9599acb22b..0000000000
--- a/api/core/model_runtime/model_providers/yi/yi.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class YiProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `yi-34b-chat-0205` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="yi-34b-chat-0205", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/yi/yi.yaml b/api/core/model_runtime/model_providers/yi/yi.yaml
deleted file mode 100644
index 393526c31e..0000000000
--- a/api/core/model_runtime/model_providers/yi/yi.yaml
+++ /dev/null
@@ -1,96 +0,0 @@
-provider: yi
-label:
-  en_US: 01.AI
-  zh_Hans: 零一万物
-description:
-  en_US: Models provided by 01.AI, such as yi-34b-chat and yi-vl-plus.
-  zh_Hans: 零一万物提供的模型，例如 yi-34b-chat 和 yi-vl-plus。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#E9F1EC"
-help:
-  title:
-    en_US: Get your API Key from 01.ai
-    zh_Hans: 从零一万物获取 API Key
-  url:
-    en_US: https://platform.lingyiwanwu.com/apikeys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: endpoint_url
-      label:
-        zh_Hans: 自定义 API endpoint 地址
-        en_US: Custom API endpoint URL
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: Base URL, e.g. https://api.lingyiwanwu.com/v1
-        en_US: Base URL, e.g. https://api.lingyiwanwu.com/v1
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      default: '4096'
-      type: text-input
-      show_on:
-        - variable: __model_type
-          value: llm
-    - variable: function_calling_type
-      label:
-        en_US: Function calling
-      type: select
-      required: false
-      default: no_call
-      options:
-        - value: no_call
-          label:
-            en_US: Not Support
-            zh_Hans: 不支持
-        - value: function_call
-          label:
-            en_US: Support
-            zh_Hans: 支持
-      show_on:
-        - variable: __model_type
-          value: llm
diff --git a/api/core/model_runtime/model_providers/zhinao/__init__.py b/api/core/model_runtime/model_providers/zhinao/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg
deleted file mode 100644
index b22b869441..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg width="100%" height="100%" viewBox="0 0 768 152" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
-    <use id="背景" xlink:href="#_Image1" x="0" y="0" width="766px" height="150px"/>
-    <defs>
-        <image id="_Image1" width="766px" height="150px" 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deleted file mode 100644
index 8fe72b7d09..0000000000
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"/>
-    </defs>
-</svg>
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml
deleted file mode 100644
index f420df0001..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: 360gpt-turbo-responsibility-8k
-label:
-  zh_Hans: 360gpt-turbo-responsibility-8k
-  en_US: 360gpt-turbo-responsibility-8k
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 8192
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml
deleted file mode 100644
index a2658fbe4f..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: 360gpt-turbo
-label:
-  zh_Hans: 360gpt-turbo
-  en_US: 360gpt-turbo
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml
deleted file mode 100644
index 00c81eb1da..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-model: 360gpt2-pro
-label:
-  zh_Hans: 360gpt2-pro
-  en_US: 360gpt2-pro
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 2048
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/__init__.py b/api/core/model_runtime/model_providers/zhinao/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml b/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml
deleted file mode 100644
index ab8dbf5182..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml
+++ /dev/null
@@ -1,3 +0,0 @@
-- 360gpt2-pro
-- 360gpt-turbo
-- 360gpt-turbo-responsibility-8k
diff --git a/api/core/model_runtime/model_providers/zhinao/llm/llm.py b/api/core/model_runtime/model_providers/zhinao/llm/llm.py
deleted file mode 100644
index befc3de021..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/llm/llm.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from collections.abc import Generator
-from typing import Optional, Union
-
-from core.model_runtime.entities.llm_entities import LLMResult
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-
-class ZhinaoLargeLanguageModel(OAIAPICompatLargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        self._add_custom_parameters(credentials)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials)
-        super().validate_credentials(model, credentials)
-
-    @classmethod
-    def _add_custom_parameters(cls, credentials: dict) -> None:
-        credentials["mode"] = "chat"
-        credentials["endpoint_url"] = "https://api.360.cn/v1"
diff --git a/api/core/model_runtime/model_providers/zhinao/zhinao.py b/api/core/model_runtime/model_providers/zhinao/zhinao.py
deleted file mode 100644
index 2a263292f9..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/zhinao.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class ZhinaoProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            # Use `360gpt-turbo` model for validate,
-            # no matter what model you pass in, text completion model or chat model
-            model_instance.validate_credentials(model="360gpt-turbo", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/zhinao/zhinao.yaml b/api/core/model_runtime/model_providers/zhinao/zhinao.yaml
deleted file mode 100644
index c5cb142c47..0000000000
--- a/api/core/model_runtime/model_providers/zhinao/zhinao.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-provider: zhinao
-label:
-  en_US: 360 AI
-  zh_Hans: 360 智脑
-description:
-  en_US: Models provided by 360 AI.
-  zh_Hans: 360 智脑提供的模型。
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#e3f0ff"
-help:
-  title:
-    en_US: Get your API Key from 360 AI.
-    zh_Hans: 从360 智脑获取 API Key
-  url:
-    en_US: https://ai.360.com/platform/keys
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
diff --git a/api/core/model_runtime/model_providers/zhipuai/__init__.py b/api/core/model_runtime/model_providers/zhipuai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg
deleted file mode 100644
index d32499917d..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg
+++ /dev/null
@@ -1,6 +0,0 @@
-<svg width="89" height="32" viewBox="0 0 89 32" fill="none" xmlns="http://www.w3.org/2000/svg">
-<g id="shape">
-<path d="M88.8045 8.82998H86.7123V22.4497H88.8045V8.82998ZM80.5485 8.82998L78.4158 22.4497H80.3339L80.5589 20.9156L80.6709 20.1853C80.6916 20.0394 80.8751 19.9142 81.0793 19.9142H82.8855C83.0897 19.9142 83.2732 20.029 83.2939 20.1853L83.4059 20.9156L83.6299 22.4497H85.7429L83.6102 8.82998H80.5485ZM82.7838 18.2963H81.181C81.1522 18.2968 81.1237 18.2909 81.0975 18.279C81.0713 18.2671 81.0481 18.2495 81.0295 18.2275C81.0109 18.2056 80.9975 18.1797 80.9902 18.1519C80.9828 18.1241 80.9818 18.095 80.9871 18.0667L81.7024 12.1175C81.7212 11.95 81.8436 11.8352 81.9772 11.8352C82.109 11.8352 82.2426 11.95 82.253 12.1175L82.9673 18.0657C82.9767 18.1919 82.8855 18.2963 82.7735 18.2963H82.7838ZM14.8563 31.3316C14.7706 31.3519 14.6961 31.4046 14.6485 31.4787C14.6009 31.5528 14.584 31.6425 14.6012 31.7288C14.6417 31.9057 14.8158 32.0309 14.989 31.9895C15.0746 31.9695 15.1491 31.9169 15.1967 31.843C15.2443 31.769 15.2613 31.6795 15.244 31.5933C15.2036 31.4154 15.0295 31.2902 14.8563 31.3316ZM19.6337 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index 067ea2c427..0000000000
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diff --git a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/zhipuai/_assets/icon_s_en.svg
deleted file mode 100644
index 016f97ddab..0000000000
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+++ /dev/null
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diff --git a/api/core/model_runtime/model_providers/zhipuai/_common.py b/api/core/model_runtime/model_providers/zhipuai/_common.py
deleted file mode 100644
index fa95232f71..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/_common.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-
-
-class _CommonZhipuaiAI:
-    def _to_credential_kwargs(self, credentials: dict) -> dict:
-        """
-        Transform credentials to kwargs for model instance
-
-        :param credentials:
-        :return:
-        """
-        credentials_kwargs = {
-            "api_key": credentials["api_key"] if "api_key" in credentials else credentials.get("zhipuai_api_key"),
-        }
-
-        return credentials_kwargs
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        The key is the error type thrown to the caller
-        The value is the error type thrown by the model,
-        which needs to be converted into a unified error type for the caller.
-
-        :return: Invoke error mapping
-        """
-        return {
-            InvokeConnectionError: [],
-            InvokeServerUnavailableError: [],
-            InvokeRateLimitError: [],
-            InvokeAuthorizationError: [],
-            InvokeBadRequestError: [],
-        }
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/__init__.py b/api/core/model_runtime/model_providers/zhipuai/llm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml
deleted file mode 100644
index 9778de1a2e..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm_lite
-label:
-  en_US: chatglm_lite
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.9
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml
deleted file mode 100644
index 7836d964c6..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm_lite_32k
-label:
-  en_US: chatglm_lite_32k
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.9
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml
deleted file mode 100644
index b3d53c812b..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm_pro
-label:
-  en_US: chatglm_pro
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.9
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml
deleted file mode 100644
index 7d8b9520a0..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-model: chatglm_std
-label:
-  en_US: chatglm_std
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.9
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml
deleted file mode 100644
index 049fae6c16..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-model: chatglm_turbo
-label:
-  en_US: chatglm_turbo
-model_type: llm
-model_properties:
-  mode: chat
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: return_type
-    label:
-      zh_Hans: 回复类型
-      en_US: Return Type
-    type: string
-    help:
-      zh_Hans: 用于控制每次返回内容的类型，空或者没有此字段时默认按照 json_string 返回，json_string 返回标准的 JSON 字符串，text 返回原始的文本内容。
-      en_US: Used to control the type of content returned each time. When it is empty or does not have this field, it will be returned as json_string by default. json_string returns a standard JSON string, and text returns the original text content.
-    required: false
-    options:
-      - text
-      - json_string
-deprecated: true
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml
deleted file mode 100644
index bf1dad81fe..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-0520
-label:
-  en_US: glm-4-0520
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml
deleted file mode 100644
index a88779ed13..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-air
-label:
-  en_US: glm-4-air
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.001'
-  output: '0.001'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml
deleted file mode 100644
index 868dab9242..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-airx
-label:
-  en_US: glm-4-airx
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 8192
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.01'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml
deleted file mode 100644
index 5ee67aadef..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-flash
-label:
-  en_US: glm-4-flash
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml
deleted file mode 100644
index abd95a3a9a..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-flashx
-label:
-  en_US: glm-4-flashx
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0'
-  output: '0'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml
deleted file mode 100644
index fa5b1e1fe9..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-model: glm-3-turbo
-label:
-  en_US: glm-3-turbo
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 8192
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-pricing:
-  input: '0.001'
-  output: '0.001'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml
deleted file mode 100644
index 127f81c5ad..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4
-label:
-  en_US: glm-4
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.1'
-  output: '0.1'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml
deleted file mode 100644
index ebcb7b4f78..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml
+++ /dev/null
@@ -1,68 +0,0 @@
-model: glm-4-long
-label:
-  en_US: glm-4-long
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 1048576
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.001'
-  output: '0.001'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml
deleted file mode 100644
index 7dd113c06f..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-model: glm-4-plus
-label:
-  en_US: glm-4-plus
-model_type: llm
-features:
-  - multi-tool-call
-  - agent-thought
-  - stream-tool-call
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.7
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 4095
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.05'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml
deleted file mode 100644
index ceeeacced2..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: glm-4v
-label:
-  en_US: glm-4v
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 2048
-features:
-  - vision
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.6
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.05'
-  output: '0.05'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml
deleted file mode 100644
index 9e3a7f203d..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-model: glm-4v-flash
-label:
-  en_US: glm-4v-flash
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 2048
-features:
-  - vision
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.6
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.00'
-  output: '0.00'
-  unit: '0.000001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml
deleted file mode 100644
index 3aa981deff..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-model: glm-4v-plus
-label:
-  en_US: glm-4v-plus
-model_type: llm
-model_properties:
-  mode: chat
-  context_size: 8192
-features:
-  - vision
-  - video
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    default: 0.95
-    min: 0.0
-    max: 1.0
-    help:
-      zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: top_p
-    use_template: top_p
-    default: 0.6
-    help:
-      zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
-      en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-  - name: do_sample
-    label:
-      zh_Hans: 采样策略
-      en_US: Sampling strategy
-    type: boolean
-    help:
-      zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。
-      en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true.
-    default: true
-  - name: max_tokens
-    use_template: max_tokens
-    default: 1024
-    min: 1
-    max: 1024
-  - name: web_search
-    type: boolean
-    label:
-      zh_Hans: 联网搜索
-      en_US: Web Search
-    default: false
-    help:
-      zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
-      en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '0.01'
-  output: '0.01'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py
deleted file mode 100644
index 6199fbb45e..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py
+++ /dev/null
@@ -1,464 +0,0 @@
-import json
-from collections.abc import Generator
-from typing import Optional, Union
-
-from zhipuai import ZhipuAI  # type: ignore
-from zhipuai.types.chat.chat_completion import Completion  # type: ignore
-from zhipuai.types.chat.chat_completion_chunk import ChatCompletionChunk  # type: ignore
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessage,
-    PromptMessageContent,
-    PromptMessageContentType,
-    PromptMessageRole,
-    PromptMessageTool,
-    SystemPromptMessage,
-    ToolPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI
-from core.model_runtime.utils import helper
-
-
-class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel):
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-
-        # invoke model
-        return self._generate(model, credentials_kwargs, prompt_messages, model_parameters, tools, stop, stream, user)
-
-    def get_num_tokens(
-        self,
-        model: str,
-        credentials: dict,
-        prompt_messages: list[PromptMessage],
-        tools: Optional[list[PromptMessageTool]] = None,
-    ) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :return:
-        """
-        prompt = self._convert_messages_to_prompt(prompt_messages, tools)
-
-        return self._get_num_tokens_by_gpt2(prompt)
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            self._generate(
-                model=model,
-                credentials_kwargs=credentials_kwargs,
-                prompt_messages=[
-                    UserPromptMessage(content="ping"),
-                ],
-                model_parameters={
-                    "temperature": 0.5,
-                },
-                tools=[],
-                stream=False,
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def _generate(
-        self,
-        model: str,
-        credentials_kwargs: dict,
-        prompt_messages: list[PromptMessage],
-        model_parameters: dict,
-        tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
-        stream: bool = True,
-        user: Optional[str] = None,
-    ) -> Union[LLMResult, Generator]:
-        """
-        Invoke large language model
-
-        :param model: model name
-        :param credentials_kwargs: credentials kwargs
-        :param prompt_messages: prompt messages
-        :param model_parameters: model parameters
-        :param stop: stop words
-        :param stream: is stream response
-        :param user: unique user id
-        :return: full response or stream response chunk generator result
-        """
-        extra_model_kwargs = {}
-        # request to glm-4v-plus with stop words will always respond "finish_reason":"network_error"
-        if stop and model != "glm-4v-plus":
-            extra_model_kwargs["stop"] = stop
-
-        client = ZhipuAI(api_key=credentials_kwargs["api_key"])
-
-        if len(prompt_messages) == 0:
-            raise ValueError("At least one message is required")
-
-        if prompt_messages[0].role == PromptMessageRole.SYSTEM:
-            if not prompt_messages[0].content:
-                prompt_messages = prompt_messages[1:]
-
-        # resolve zhipuai model not support system message and user message, assistant message must be in sequence
-        new_prompt_messages: list[PromptMessage] = []
-        for prompt_message in prompt_messages:
-            copy_prompt_message = prompt_message.model_copy()
-            if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.SYSTEM, PromptMessageRole.TOOL}:
-                if isinstance(copy_prompt_message.content, list):
-                    # check if model is 'glm-4v'
-                    if not model.startswith("glm-4v"):
-                        # not support list message
-                        continue
-                    # get image and
-                    if not isinstance(copy_prompt_message, UserPromptMessage):
-                        # not support system message
-                        continue
-                    new_prompt_messages.append(copy_prompt_message)
-
-                if not isinstance(copy_prompt_message.content, str):
-                    # not support image message
-                    continue
-
-                if (
-                    new_prompt_messages
-                    and new_prompt_messages[-1].role == PromptMessageRole.USER
-                    and copy_prompt_message.role == PromptMessageRole.USER
-                ):
-                    new_prompt_messages[-1].content += "\n\n" + copy_prompt_message.content
-                else:
-                    if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.TOOL}:
-                        new_prompt_messages.append(copy_prompt_message)
-                    elif copy_prompt_message.role == PromptMessageRole.SYSTEM:
-                        new_prompt_message = SystemPromptMessage(content=copy_prompt_message.content)
-                        new_prompt_messages.append(new_prompt_message)
-                    else:
-                        new_prompt_message = UserPromptMessage(content=copy_prompt_message.content)
-                        new_prompt_messages.append(new_prompt_message)
-            else:
-                if new_prompt_messages and new_prompt_messages[-1].role == PromptMessageRole.ASSISTANT:
-                    new_prompt_messages[-1].content += "\n\n" + copy_prompt_message.content
-                else:
-                    new_prompt_messages.append(copy_prompt_message)
-
-        # zhipuai moved web_search param to tools
-        if "web_search" in model_parameters:
-            enable_web_search = model_parameters.get("web_search")
-            model_parameters.pop("web_search")
-            web_search_params = {"type": "web_search", "web_search": {"enable": enable_web_search}}
-            if "tools" in model_parameters:
-                model_parameters["tools"].append(web_search_params)
-            else:
-                model_parameters["tools"] = [web_search_params]
-
-        response_format = model_parameters.get("response_format")
-        if response_format:
-            if response_format == "json_schema":
-                json_schema = model_parameters.get("json_schema")
-                if not json_schema:
-                    raise ValueError("Must define JSON Schema when the response format is json_schema")
-                try:
-                    schema = json.loads(json_schema)
-                except:
-                    raise ValueError(f"not correct json_schema format: {json_schema}")
-                model_parameters.pop("json_schema")
-                model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema}
-            else:
-                model_parameters["response_format"] = {"type": response_format}
-        elif "json_schema" in model_parameters:
-            del model_parameters["json_schema"]
-
-        if model.startswith("glm-4v"):
-            params = self._construct_glm_4v_parameter(model, new_prompt_messages, model_parameters)
-        else:
-            params = {"model": model, "messages": [], **model_parameters}
-            for prompt_message in new_prompt_messages:
-                if prompt_message.role == PromptMessageRole.TOOL:
-                    params["messages"].append(
-                        {
-                            "role": "tool",
-                            "content": prompt_message.content,
-                            "tool_call_id": prompt_message.tool_call_id,
-                        }
-                    )
-                elif isinstance(prompt_message, AssistantPromptMessage):
-                    if prompt_message.tool_calls:
-                        params["messages"].append(
-                            {
-                                "role": "assistant",
-                                "content": prompt_message.content,
-                                "tool_calls": [
-                                    {
-                                        "id": tool_call.id,
-                                        "type": tool_call.type,
-                                        "function": {
-                                            "name": tool_call.function.name,
-                                            "arguments": tool_call.function.arguments,
-                                        },
-                                    }
-                                    for tool_call in prompt_message.tool_calls
-                                ],
-                            }
-                        )
-                    else:
-                        params["messages"].append({"role": "assistant", "content": prompt_message.content})
-                else:
-                    params["messages"].append({"role": prompt_message.role.value, "content": prompt_message.content})
-
-        if tools and len(tools) > 0:
-            params["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools]
-
-        if stream:
-            response = client.chat.completions.create(stream=stream, **params, **extra_model_kwargs)
-            return self._handle_generate_stream_response(model, credentials_kwargs, tools, response, prompt_messages)
-
-        response = client.chat.completions.create(**params, **extra_model_kwargs)
-        return self._handle_generate_response(model, credentials_kwargs, tools, response, prompt_messages)
-
-    def _construct_glm_4v_parameter(self, model: str, prompt_messages: list[PromptMessage], model_parameters: dict):
-        messages = [
-            {"role": message.role.value, "content": self._construct_glm_4v_messages(message.content)}
-            for message in prompt_messages
-        ]
-
-        params = {"model": model, "messages": messages, **model_parameters}
-
-        return params
-
-    def _construct_glm_4v_messages(self, prompt_message: Union[str, list[PromptMessageContent]]) -> list[dict]:
-        if isinstance(prompt_message, list):
-            sub_messages = []
-            for item in prompt_message:
-                if item.type == PromptMessageContentType.IMAGE:
-                    sub_messages.append(
-                        {
-                            "type": "image_url",
-                            "image_url": {"url": self._remove_base64_header(item.data)},
-                        }
-                    )
-                elif item.type == PromptMessageContentType.VIDEO:
-                    sub_messages.append(
-                        {
-                            "type": "video_url",
-                            "video_url": {"url": self._remove_base64_header(item.data)},
-                        }
-                    )
-                else:
-                    sub_messages.append({"type": "text", "text": item.data})
-            return sub_messages
-        else:
-            return [{"type": "text", "text": prompt_message}]
-
-    def _remove_base64_header(self, file_content: str) -> str:
-        if file_content.startswith("data:"):
-            data_split = file_content.split(";base64,")
-            return data_split[1]
-
-        return file_content
-
-    def _handle_generate_response(
-        self,
-        model: str,
-        credentials: dict,
-        tools: Optional[list[PromptMessageTool]],
-        response: Completion,
-        prompt_messages: list[PromptMessage],
-    ) -> LLMResult:
-        """
-        Handle llm response
-
-        :param model: model name
-        :param response: response
-        :param prompt_messages: prompt messages
-        :return: llm response
-        """
-        text = ""
-        assistant_tool_calls: list[AssistantPromptMessage.ToolCall] = []
-        for choice in response.choices:
-            if choice.message.tool_calls:
-                for tool_call in choice.message.tool_calls:
-                    if tool_call.type == "function":
-                        assistant_tool_calls.append(
-                            AssistantPromptMessage.ToolCall(
-                                id=tool_call.id,
-                                type=tool_call.type,
-                                function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                    name=tool_call.function.name,
-                                    arguments=tool_call.function.arguments,
-                                ),
-                            )
-                        )
-
-            text += choice.message.content or ""
-
-        prompt_usage = response.usage.prompt_tokens
-        completion_usage = response.usage.completion_tokens
-
-        # transform usage
-        usage = self._calc_response_usage(model, credentials, prompt_usage, completion_usage)
-
-        # transform response
-        result = LLMResult(
-            model=model,
-            prompt_messages=prompt_messages,
-            message=AssistantPromptMessage(content=text, tool_calls=assistant_tool_calls),
-            usage=usage,
-        )
-
-        return result
-
-    def _handle_generate_stream_response(
-        self,
-        model: str,
-        credentials: dict,
-        tools: Optional[list[PromptMessageTool]],
-        responses: Generator[ChatCompletionChunk, None, None],
-        prompt_messages: list[PromptMessage],
-    ) -> Generator:
-        """
-        Handle llm stream response
-
-        :param model: model name
-        :param responses: response
-        :param prompt_messages: prompt messages
-        :return: llm response chunk generator result
-        """
-        full_assistant_content = ""
-        for chunk in responses:
-            if len(chunk.choices) == 0:
-                continue
-
-            delta = chunk.choices[0]
-
-            if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""):
-                continue
-
-            assistant_tool_calls: list[AssistantPromptMessage.ToolCall] = []
-            for tool_call in delta.delta.tool_calls or []:
-                if tool_call.type == "function":
-                    assistant_tool_calls.append(
-                        AssistantPromptMessage.ToolCall(
-                            id=tool_call.id,
-                            type=tool_call.type,
-                            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                name=tool_call.function.name,
-                                arguments=tool_call.function.arguments,
-                            ),
-                        )
-                    )
-
-            # transform assistant message to prompt message
-            assistant_prompt_message = AssistantPromptMessage(
-                content=delta.delta.content or "", tool_calls=assistant_tool_calls
-            )
-
-            full_assistant_content += delta.delta.content or ""
-
-            if delta.finish_reason is not None and chunk.usage is not None:
-                completion_tokens = chunk.usage.completion_tokens
-                prompt_tokens = chunk.usage.prompt_tokens
-
-                # transform usage
-                usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
-
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint="",
-                    delta=LLMResultChunkDelta(
-                        index=delta.index,
-                        message=assistant_prompt_message,
-                        finish_reason=delta.finish_reason,
-                        usage=usage,
-                    ),
-                )
-            else:
-                yield LLMResultChunk(
-                    model=chunk.model,
-                    prompt_messages=prompt_messages,
-                    system_fingerprint="",
-                    delta=LLMResultChunkDelta(
-                        index=delta.index, message=assistant_prompt_message, finish_reason=delta.finish_reason
-                    ),
-                )
-
-    def _convert_one_message_to_text(self, message: PromptMessage) -> str:
-        """
-        Convert a single message to a string.
-
-        :param message: PromptMessage to convert.
-        :return: String representation of the message.
-        """
-        human_prompt = "\n\nHuman:"
-        ai_prompt = "\n\nAssistant:"
-        content = message.content
-        if isinstance(content, list):
-            content = "".join(c.data for c in content if c.type == PromptMessageContentType.TEXT)
-
-        if isinstance(message, UserPromptMessage):
-            message_text = f"{human_prompt} {content}"
-        elif isinstance(message, AssistantPromptMessage):
-            message_text = f"{ai_prompt} {content}"
-        elif isinstance(message, SystemPromptMessage | ToolPromptMessage):
-            message_text = content
-        else:
-            raise ValueError(f"Got unknown type {message}")
-
-        return message_text
-
-    def _convert_messages_to_prompt(
-        self, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None
-    ) -> str:
-        """
-        :param messages: List of PromptMessage to combine.
-        :return: Combined string with necessary human_prompt and ai_prompt tags.
-        """
-        messages = messages.copy()  # don't mutate the original list
-
-        text = "".join(self._convert_one_message_to_text(message) for message in messages)
-
-        if tools and len(tools) > 0:
-            text += "\n\nTools:"
-            for tool in tools:
-                text += f"\n{tool.model_dump_json()}"
-
-        # trim off the trailing ' ' that might come from the "Assistant: "
-        return text.rstrip()
diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/zhipuai/text_embedding/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml
deleted file mode 100644
index f1b8b35602..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: embedding-2
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml
deleted file mode 100644
index 5c55c911c4..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml
+++ /dev/null
@@ -1,8 +0,0 @@
-model: embedding-3
-model_type: text-embedding
-model_properties:
-  context_size: 8192
-pricing:
-  input: '0.0005'
-  unit: '0.001'
-  currency: RMB
diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py
deleted file mode 100644
index a700304db7..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py
+++ /dev/null
@@ -1,132 +0,0 @@
-import time
-from typing import Optional
-
-from zhipuai import ZhipuAI  # type: ignore
-
-from core.entities.embedding_type import EmbeddingInputType
-from core.model_runtime.entities.model_entities import PriceType
-from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel
-from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI
-
-
-class ZhipuAITextEmbeddingModel(_CommonZhipuaiAI, TextEmbeddingModel):
-    """
-    Model class for ZhipuAI text embedding model.
-    """
-
-    def _invoke(
-        self,
-        model: str,
-        credentials: dict,
-        texts: list[str],
-        user: Optional[str] = None,
-        input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT,
-    ) -> TextEmbeddingResult:
-        """
-        Invoke text embedding model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :param user: unique user id
-        :param input_type: input type
-        :return: embeddings result
-        """
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        client = ZhipuAI(api_key=credentials_kwargs["api_key"])
-
-        embeddings, embedding_used_tokens = self.embed_documents(model, client, texts)
-
-        return TextEmbeddingResult(
-            embeddings=embeddings,
-            usage=self._calc_response_usage(model, credentials_kwargs, embedding_used_tokens),
-            model=model,
-        )
-
-    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
-        """
-        Get number of tokens for given prompt messages
-
-        :param model: model name
-        :param credentials: model credentials
-        :param texts: texts to embed
-        :return:
-        """
-        if len(texts) == 0:
-            return 0
-
-        total_num_tokens = 0
-        for text in texts:
-            total_num_tokens += self._get_num_tokens_by_gpt2(text)
-
-        return total_num_tokens
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            # transform credentials to kwargs for model instance
-            credentials_kwargs = self._to_credential_kwargs(credentials)
-            client = ZhipuAI(api_key=credentials_kwargs["api_key"])
-
-            # call embedding model
-            self.embed_documents(
-                model=model,
-                client=client,
-                texts=["ping"],
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    def embed_documents(self, model: str, client: ZhipuAI, texts: list[str]) -> tuple[list[list[float]], int]:
-        """Call out to ZhipuAI's embedding endpoint.
-
-        Args:
-            texts: The list of texts to embed.
-
-        Returns:
-            List of embeddings, one for each text.
-        """
-        embeddings = []
-        embedding_used_tokens = 0
-
-        for text in texts:
-            response = client.embeddings.create(model=model, input=text)
-            data = response.data[0]
-            embeddings.append(data.embedding)
-            embedding_used_tokens += response.usage.total_tokens
-
-        return [list(map(float, e)) for e in embeddings], embedding_used_tokens
-
-    def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage:
-        """
-        Calculate response usage
-
-        :param model: model name
-        :param tokens: input tokens
-        :return: usage
-        """
-        # get input price info
-        input_price_info = self.get_price(
-            model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens
-        )
-
-        # transform usage
-        usage = EmbeddingUsage(
-            tokens=tokens,
-            total_tokens=tokens,
-            unit_price=input_price_info.unit_price,
-            price_unit=input_price_info.unit,
-            total_price=input_price_info.total_amount,
-            currency=input_price_info.currency,
-            latency=time.perf_counter() - self.started_at,
-        )
-
-        return usage
diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml
deleted file mode 100644
index b9f5bc6397..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml
+++ /dev/null
@@ -1,4 +0,0 @@
-model: text_embedding
-model_type: text-embedding
-model_properties:
-  context_size: 512
diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai.py
deleted file mode 100644
index e75aad6eb0..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/zhipuai.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import logging
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.model_provider import ModelProvider
-
-logger = logging.getLogger(__name__)
-
-
-class ZhipuaiProvider(ModelProvider):
-    def validate_provider_credentials(self, credentials: dict) -> None:
-        """
-        Validate provider credentials
-
-        if validate failed, raise exception
-
-        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
-        """
-        try:
-            model_instance = self.get_model_instance(ModelType.LLM)
-
-            model_instance.validate_credentials(model="glm-4", credentials=credentials)
-        except CredentialsValidateFailedError as ex:
-            raise ex
-        except Exception as ex:
-            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
-            raise ex
diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml b/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml
deleted file mode 100644
index 303a549128..0000000000
--- a/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-provider: zhipuai
-label:
-  zh_Hans: 智谱 AI
-  en_US: ZHIPU AI
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  zh_Hans: icon_l_zh.svg
-  en_US: icon_l_en.svg
-background: "#EFF1FE"
-help:
-  title:
-    en_US: Get your API key from ZHIPU AI
-    zh_Hans: 从智谱 AI 获取 API Key
-  url:
-    en_US: https://open.bigmodel.cn/usercenter/apikeys
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - predefined-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: APIKey
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 APIKey
-        en_US: Enter your APIKey
diff --git a/api/core/plugin/backwards_invocation/app.py b/api/core/plugin/backwards_invocation/app.py
new file mode 100644
index 0000000000..29873b508f
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/app.py
@@ -0,0 +1,189 @@
+from collections.abc import Generator, Mapping
+from typing import Optional, Union
+
+from controllers.service_api.wraps import create_or_update_end_user_for_user_id
+from core.app.apps.advanced_chat.app_generator import AdvancedChatAppGenerator
+from core.app.apps.agent_chat.app_generator import AgentChatAppGenerator
+from core.app.apps.chat.app_generator import ChatAppGenerator
+from core.app.apps.completion.app_generator import CompletionAppGenerator
+from core.app.apps.workflow.app_generator import WorkflowAppGenerator
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.plugin.backwards_invocation.base import BaseBackwardsInvocation
+from extensions.ext_database import db
+from models.account import Account
+from models.model import App, AppMode, EndUser
+
+
+class PluginAppBackwardsInvocation(BaseBackwardsInvocation):
+    @classmethod
+    def invoke_app(
+        cls,
+        app_id: str,
+        user_id: str,
+        tenant_id: str,
+        conversation_id: Optional[str],
+        query: Optional[str],
+        stream: bool,
+        inputs: Mapping,
+        files: list[dict],
+    ) -> Generator[Mapping | str, None, None] | Mapping:
+        """
+        invoke app
+        """
+        app = cls._get_app(app_id, tenant_id)
+        if not user_id:
+            user = create_or_update_end_user_for_user_id(app)
+        else:
+            user = cls._get_user(user_id)
+
+        conversation_id = conversation_id or ""
+
+        if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.AGENT_CHAT.value, AppMode.CHAT.value}:
+            if not query:
+                raise ValueError("missing query")
+
+            return cls.invoke_chat_app(app, user, conversation_id, query, stream, inputs, files)
+        elif app.mode == AppMode.WORKFLOW.value:
+            return cls.invoke_workflow_app(app, user, stream, inputs, files)
+        elif app.mode == AppMode.COMPLETION:
+            return cls.invoke_completion_app(app, user, stream, inputs, files)
+
+        raise ValueError("unexpected app type")
+
+    @classmethod
+    def invoke_chat_app(
+        cls,
+        app: App,
+        user: Account | EndUser,
+        conversation_id: str,
+        query: str,
+        stream: bool,
+        inputs: Mapping,
+        files: list[dict],
+    ) -> Generator[Mapping | str, None, None] | Mapping:
+        """
+        invoke chat app
+        """
+        if app.mode == AppMode.ADVANCED_CHAT.value:
+            workflow = app.workflow
+            if not workflow:
+                raise ValueError("unexpected app type")
+
+            return AdvancedChatAppGenerator().generate(
+                app_model=app,
+                workflow=workflow,
+                user=user,
+                args={
+                    "inputs": inputs,
+                    "query": query,
+                    "files": files,
+                    "conversation_id": conversation_id,
+                },
+                invoke_from=InvokeFrom.SERVICE_API,
+                streaming=stream,
+            )
+        elif app.mode == AppMode.AGENT_CHAT.value:
+            return AgentChatAppGenerator().generate(
+                app_model=app,
+                user=user,
+                args={
+                    "inputs": inputs,
+                    "query": query,
+                    "files": files,
+                    "conversation_id": conversation_id,
+                },
+                invoke_from=InvokeFrom.SERVICE_API,
+                streaming=stream,
+            )
+        elif app.mode == AppMode.CHAT.value:
+            return ChatAppGenerator().generate(
+                app_model=app,
+                user=user,
+                args={
+                    "inputs": inputs,
+                    "query": query,
+                    "files": files,
+                    "conversation_id": conversation_id,
+                },
+                invoke_from=InvokeFrom.SERVICE_API,
+                streaming=stream,
+            )
+        else:
+            raise ValueError("unexpected app type")
+
+    @classmethod
+    def invoke_workflow_app(
+        cls,
+        app: App,
+        user: EndUser | Account,
+        stream: bool,
+        inputs: Mapping,
+        files: list[dict],
+    ) -> Generator[Mapping | str, None, None] | Mapping:
+        """
+        invoke workflow app
+        """
+        workflow = app.workflow
+        if not workflow:
+            raise ValueError("")
+
+        return WorkflowAppGenerator().generate(
+            app_model=app,
+            workflow=workflow,
+            user=user,
+            args={"inputs": inputs, "files": files},
+            invoke_from=InvokeFrom.SERVICE_API,
+            streaming=stream,
+            call_depth=1,
+            workflow_thread_pool_id=None,
+        )
+
+    @classmethod
+    def invoke_completion_app(
+        cls,
+        app: App,
+        user: EndUser | Account,
+        stream: bool,
+        inputs: Mapping,
+        files: list[dict],
+    ) -> Generator[Mapping | str, None, None] | Mapping:
+        """
+        invoke completion app
+        """
+        return CompletionAppGenerator().generate(
+            app_model=app,
+            user=user,
+            args={"inputs": inputs, "files": files},
+            invoke_from=InvokeFrom.SERVICE_API,
+            streaming=stream,
+        )
+
+    @classmethod
+    def _get_user(cls, user_id: str) -> Union[EndUser, Account]:
+        """
+        get the user by user id
+        """
+
+        user = db.session.query(EndUser).filter(EndUser.id == user_id).first()
+        if not user:
+            user = db.session.query(Account).filter(Account.id == user_id).first()
+
+        if not user:
+            raise ValueError("user not found")
+
+        return user
+
+    @classmethod
+    def _get_app(cls, app_id: str, tenant_id: str) -> App:
+        """
+        get app
+        """
+        try:
+            app = db.session.query(App).filter(App.id == app_id).filter(App.tenant_id == tenant_id).first()
+        except Exception:
+            raise ValueError("app not found")
+
+        if not app:
+            raise ValueError("app not found")
+
+        return app
diff --git a/api/core/plugin/backwards_invocation/base.py b/api/core/plugin/backwards_invocation/base.py
new file mode 100644
index 0000000000..3214e07469
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/base.py
@@ -0,0 +1,29 @@
+from collections.abc import Generator, Mapping
+from typing import Generic, Optional, TypeVar
+
+from pydantic import BaseModel
+
+
+class BaseBackwardsInvocation:
+    @classmethod
+    def convert_to_event_stream(cls, response: Generator[BaseModel | Mapping | str, None, None] | BaseModel | Mapping):
+        if isinstance(response, Generator):
+            try:
+                for chunk in response:
+                    if isinstance(chunk, BaseModel | dict):
+                        yield BaseBackwardsInvocationResponse(data=chunk).model_dump_json().encode() + b"\n\n"
+                    elif isinstance(chunk, str):
+                        yield f"event: {chunk}\n\n".encode()
+            except Exception as e:
+                error_message = BaseBackwardsInvocationResponse(error=str(e)).model_dump_json()
+                yield f"{error_message}\n\n".encode()
+        else:
+            yield BaseBackwardsInvocationResponse(data=response).model_dump_json().encode() + b"\n\n"
+
+
+T = TypeVar("T", bound=dict | Mapping | str | bool | int | BaseModel)
+
+
+class BaseBackwardsInvocationResponse(BaseModel, Generic[T]):
+    data: Optional[T] = None
+    error: str = ""
diff --git a/api/core/plugin/backwards_invocation/encrypt.py b/api/core/plugin/backwards_invocation/encrypt.py
new file mode 100644
index 0000000000..81a5d033a0
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/encrypt.py
@@ -0,0 +1,30 @@
+from core.plugin.entities.request import RequestInvokeEncrypt
+from core.tools.utils.configuration import ProviderConfigEncrypter
+from models.account import Tenant
+
+
+class PluginEncrypter:
+    @classmethod
+    def invoke_encrypt(cls, tenant: Tenant, payload: RequestInvokeEncrypt) -> dict:
+        encrypter = ProviderConfigEncrypter(
+            tenant_id=tenant.id,
+            config=payload.config,
+            provider_type=payload.namespace,
+            provider_identity=payload.identity,
+        )
+
+        if payload.opt == "encrypt":
+            return {
+                "data": encrypter.encrypt(payload.data),
+            }
+        elif payload.opt == "decrypt":
+            return {
+                "data": encrypter.decrypt(payload.data),
+            }
+        elif payload.opt == "clear":
+            encrypter.delete_tool_credentials_cache()
+            return {
+                "data": {},
+            }
+        else:
+            raise ValueError(f"Invalid opt: {payload.opt}")
diff --git a/api/core/plugin/backwards_invocation/model.py b/api/core/plugin/backwards_invocation/model.py
new file mode 100644
index 0000000000..61e0f12680
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/model.py
@@ -0,0 +1,321 @@
+import tempfile
+from binascii import hexlify, unhexlify
+from collections.abc import Generator
+
+from core.model_manager import ModelManager
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
+from core.model_runtime.entities.message_entities import (
+    PromptMessage,
+    SystemPromptMessage,
+    UserPromptMessage,
+)
+from core.plugin.backwards_invocation.base import BaseBackwardsInvocation
+from core.plugin.entities.request import (
+    RequestInvokeLLM,
+    RequestInvokeModeration,
+    RequestInvokeRerank,
+    RequestInvokeSpeech2Text,
+    RequestInvokeSummary,
+    RequestInvokeTextEmbedding,
+    RequestInvokeTTS,
+)
+from core.tools.entities.tool_entities import ToolProviderType
+from core.tools.utils.model_invocation_utils import ModelInvocationUtils
+from core.workflow.nodes.llm.node import LLMNode
+from models.account import Tenant
+
+
+class PluginModelBackwardsInvocation(BaseBackwardsInvocation):
+    @classmethod
+    def invoke_llm(
+        cls, user_id: str, tenant: Tenant, payload: RequestInvokeLLM
+    ) -> Generator[LLMResultChunk, None, None] | LLMResult:
+        """
+        invoke llm
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        response = model_instance.invoke_llm(
+            prompt_messages=payload.prompt_messages,
+            model_parameters=payload.completion_params,
+            tools=payload.tools,
+            stop=payload.stop,
+            stream=payload.stream or True,
+            user=user_id,
+        )
+
+        if isinstance(response, Generator):
+
+            def handle() -> Generator[LLMResultChunk, None, None]:
+                for chunk in response:
+                    if chunk.delta.usage:
+                        LLMNode.deduct_llm_quota(
+                            tenant_id=tenant.id, model_instance=model_instance, usage=chunk.delta.usage
+                        )
+                    yield chunk
+
+            return handle()
+        else:
+            if response.usage:
+                LLMNode.deduct_llm_quota(tenant_id=tenant.id, model_instance=model_instance, usage=response.usage)
+            return response
+
+    @classmethod
+    def invoke_text_embedding(cls, user_id: str, tenant: Tenant, payload: RequestInvokeTextEmbedding):
+        """
+        invoke text embedding
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        response = model_instance.invoke_text_embedding(
+            texts=payload.texts,
+            user=user_id,
+        )
+
+        return response
+
+    @classmethod
+    def invoke_rerank(cls, user_id: str, tenant: Tenant, payload: RequestInvokeRerank):
+        """
+        invoke rerank
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        response = model_instance.invoke_rerank(
+            query=payload.query,
+            docs=payload.docs,
+            score_threshold=payload.score_threshold,
+            top_n=payload.top_n,
+            user=user_id,
+        )
+
+        return response
+
+    @classmethod
+    def invoke_tts(cls, user_id: str, tenant: Tenant, payload: RequestInvokeTTS):
+        """
+        invoke tts
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        response = model_instance.invoke_tts(
+            content_text=payload.content_text,
+            tenant_id=tenant.id,
+            voice=payload.voice,
+            user=user_id,
+        )
+
+        def handle() -> Generator[dict, None, None]:
+            for chunk in response:
+                yield {"result": hexlify(chunk).decode("utf-8")}
+
+        return handle()
+
+    @classmethod
+    def invoke_speech2text(cls, user_id: str, tenant: Tenant, payload: RequestInvokeSpeech2Text):
+        """
+        invoke speech2text
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        with tempfile.NamedTemporaryFile(suffix=".mp3", mode="wb", delete=True) as temp:
+            temp.write(unhexlify(payload.file))
+            temp.flush()
+            temp.seek(0)
+
+            response = model_instance.invoke_speech2text(
+                file=temp,
+                user=user_id,
+            )
+
+            return {
+                "result": response,
+            }
+
+    @classmethod
+    def invoke_moderation(cls, user_id: str, tenant: Tenant, payload: RequestInvokeModeration):
+        """
+        invoke moderation
+        """
+        model_instance = ModelManager().get_model_instance(
+            tenant_id=tenant.id,
+            provider=payload.provider,
+            model_type=payload.model_type,
+            model=payload.model,
+        )
+
+        # invoke model
+        response = model_instance.invoke_moderation(
+            text=payload.text,
+            user=user_id,
+        )
+
+        return {
+            "result": response,
+        }
+
+    @classmethod
+    def get_system_model_max_tokens(cls, tenant_id: str) -> int:
+        """
+        get system model max tokens
+        """
+        return ModelInvocationUtils.get_max_llm_context_tokens(tenant_id=tenant_id)
+
+    @classmethod
+    def get_prompt_tokens(cls, tenant_id: str, prompt_messages: list[PromptMessage]) -> int:
+        """
+        get prompt tokens
+        """
+        return ModelInvocationUtils.calculate_tokens(tenant_id=tenant_id, prompt_messages=prompt_messages)
+
+    @classmethod
+    def invoke_system_model(
+        cls,
+        user_id: str,
+        tenant: Tenant,
+        prompt_messages: list[PromptMessage],
+    ) -> LLMResult:
+        """
+        invoke system model
+        """
+        return ModelInvocationUtils.invoke(
+            user_id=user_id,
+            tenant_id=tenant.id,
+            tool_type=ToolProviderType.PLUGIN,
+            tool_name="plugin",
+            prompt_messages=prompt_messages,
+        )
+
+    @classmethod
+    def invoke_summary(cls, user_id: str, tenant: Tenant, payload: RequestInvokeSummary):
+        """
+        invoke summary
+        """
+        max_tokens = cls.get_system_model_max_tokens(tenant_id=tenant.id)
+        content = payload.text
+
+        SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language
+and you can quickly aimed at the main point of an webpage and reproduce it in your own words but 
+retain the original meaning and keep the key points. 
+however, the text you got is too long, what you got is possible a part of the text.
+Please summarize the text you got.
+
+Here is the extra instruction you need to follow:
+<extra_instruction>
+{payload.instruction}
+</extra_instruction>
+"""
+
+        if (
+            cls.get_prompt_tokens(
+                tenant_id=tenant.id,
+                prompt_messages=[UserPromptMessage(content=content)],
+            )
+            < max_tokens * 0.6
+        ):
+            return content
+
+        def get_prompt_tokens(content: str) -> int:
+            return cls.get_prompt_tokens(
+                tenant_id=tenant.id,
+                prompt_messages=[
+                    SystemPromptMessage(content=SUMMARY_PROMPT.replace("{payload.instruction}", payload.instruction)),
+                    UserPromptMessage(content=content),
+                ],
+            )
+
+        def summarize(content: str) -> str:
+            summary = cls.invoke_system_model(
+                user_id=user_id,
+                tenant=tenant,
+                prompt_messages=[
+                    SystemPromptMessage(content=SUMMARY_PROMPT.replace("{payload.instruction}", payload.instruction)),
+                    UserPromptMessage(content=content),
+                ],
+            )
+
+            assert isinstance(summary.message.content, str)
+            return summary.message.content
+
+        lines = content.split("\n")
+        new_lines: list[str] = []
+        # split long line into multiple lines
+        for i in range(len(lines)):
+            line = lines[i]
+            if not line.strip():
+                continue
+            if len(line) < max_tokens * 0.5:
+                new_lines.append(line)
+            elif get_prompt_tokens(line) > max_tokens * 0.7:
+                while get_prompt_tokens(line) > max_tokens * 0.7:
+                    new_lines.append(line[: int(max_tokens * 0.5)])
+                    line = line[int(max_tokens * 0.5) :]
+                new_lines.append(line)
+            else:
+                new_lines.append(line)
+
+        # merge lines into messages with max tokens
+        messages: list[str] = []
+        for i in new_lines:  # type: ignore
+            if len(messages) == 0:
+                messages.append(i)  # type: ignore
+            else:
+                if len(messages[-1]) + len(i) < max_tokens * 0.5:  # type: ignore
+                    messages[-1] += i  # type: ignore
+                if get_prompt_tokens(messages[-1] + i) > max_tokens * 0.7:  # type: ignore
+                    messages.append(i)  # type: ignore
+                else:
+                    messages[-1] += i  # type: ignore
+
+        summaries = []
+        for i in range(len(messages)):
+            message = messages[i]
+            summary = summarize(message)
+            summaries.append(summary)
+
+        result = "\n".join(summaries)
+
+        if (
+            cls.get_prompt_tokens(
+                tenant_id=tenant.id,
+                prompt_messages=[UserPromptMessage(content=result)],
+            )
+            > max_tokens * 0.7
+        ):
+            return cls.invoke_summary(
+                user_id=user_id,
+                tenant=tenant,
+                payload=RequestInvokeSummary(text=result, instruction=payload.instruction),
+            )
+
+        return result
diff --git a/api/core/plugin/backwards_invocation/node.py b/api/core/plugin/backwards_invocation/node.py
new file mode 100644
index 0000000000..f402da030f
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/node.py
@@ -0,0 +1,117 @@
+from core.plugin.backwards_invocation.base import BaseBackwardsInvocation
+from core.workflow.nodes.enums import NodeType
+from core.workflow.nodes.parameter_extractor.entities import (
+    ModelConfig as ParameterExtractorModelConfig,
+)
+from core.workflow.nodes.parameter_extractor.entities import (
+    ParameterConfig,
+    ParameterExtractorNodeData,
+)
+from core.workflow.nodes.question_classifier.entities import (
+    ClassConfig,
+    QuestionClassifierNodeData,
+)
+from core.workflow.nodes.question_classifier.entities import (
+    ModelConfig as QuestionClassifierModelConfig,
+)
+from services.workflow_service import WorkflowService
+
+
+class PluginNodeBackwardsInvocation(BaseBackwardsInvocation):
+    @classmethod
+    def invoke_parameter_extractor(
+        cls,
+        tenant_id: str,
+        user_id: str,
+        parameters: list[ParameterConfig],
+        model_config: ParameterExtractorModelConfig,
+        instruction: str,
+        query: str,
+    ) -> dict:
+        """
+        Invoke parameter extractor node.
+
+        :param tenant_id: str
+        :param user_id: str
+        :param parameters: list[ParameterConfig]
+        :param model_config: ModelConfig
+        :param instruction: str
+        :param query: str
+        :return: dict
+        """
+        workflow_service = WorkflowService()
+        node_id = "1919810"
+        node_data = ParameterExtractorNodeData(
+            title="parameter_extractor",
+            desc="parameter_extractor",
+            parameters=parameters,
+            reasoning_mode="function_call",
+            query=[node_id, "query"],
+            model=model_config,
+            instruction=instruction,  # instruct with variables are not supported
+        )
+        node_data_dict = node_data.model_dump()
+        node_data_dict["type"] = NodeType.PARAMETER_EXTRACTOR.value
+        execution = workflow_service.run_free_workflow_node(
+            node_data_dict,
+            tenant_id=tenant_id,
+            user_id=user_id,
+            node_id=node_id,
+            user_inputs={
+                f"{node_id}.query": query,
+            },
+        )
+
+        return {
+            "inputs": execution.inputs_dict,
+            "outputs": execution.outputs_dict,
+            "process_data": execution.process_data_dict,
+        }
+
+    @classmethod
+    def invoke_question_classifier(
+        cls,
+        tenant_id: str,
+        user_id: str,
+        model_config: QuestionClassifierModelConfig,
+        classes: list[ClassConfig],
+        instruction: str,
+        query: str,
+    ) -> dict:
+        """
+        Invoke question classifier node.
+
+        :param tenant_id: str
+        :param user_id: str
+        :param model_config: ModelConfig
+        :param classes: list[ClassConfig]
+        :param instruction: str
+        :param query: str
+        :return: dict
+        """
+        workflow_service = WorkflowService()
+        node_id = "1919810"
+        node_data = QuestionClassifierNodeData(
+            title="question_classifier",
+            desc="question_classifier",
+            query_variable_selector=[node_id, "query"],
+            model=model_config,
+            classes=classes,
+            instruction=instruction,  # instruct with variables are not supported
+        )
+        node_data_dict = node_data.model_dump()
+        execution = workflow_service.run_free_workflow_node(
+            node_data_dict,
+            tenant_id=tenant_id,
+            user_id=user_id,
+            node_id=node_id,
+            user_inputs={
+                f"{node_id}.query": query,
+            },
+        )
+
+        return {
+            "inputs": execution.inputs_dict,
+            "outputs": execution.outputs_dict,
+            "process_data": execution.process_data_dict,
+        }
diff --git a/api/core/plugin/backwards_invocation/tool.py b/api/core/plugin/backwards_invocation/tool.py
new file mode 100644
index 0000000000..1d62743f13
--- /dev/null
+++ b/api/core/plugin/backwards_invocation/tool.py
@@ -0,0 +1,45 @@
+from collections.abc import Generator
+from typing import Any
+
+from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler
+from core.plugin.backwards_invocation.base import BaseBackwardsInvocation
+from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType
+from core.tools.tool_engine import ToolEngine
+from core.tools.tool_manager import ToolManager
+from core.tools.utils.message_transformer import ToolFileMessageTransformer
+
+
+class PluginToolBackwardsInvocation(BaseBackwardsInvocation):
+    """
+    Backwards invocation for plugin tools.
+    """
+
+    @classmethod
+    def invoke_tool(
+        cls,
+        tenant_id: str,
+        user_id: str,
+        tool_type: ToolProviderType,
+        provider: str,
+        tool_name: str,
+        tool_parameters: dict[str, Any],
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        """
+        invoke tool
+        """
+        # get tool runtime
+        try:
+            tool_runtime = ToolManager.get_tool_runtime_from_plugin(
+                tool_type, tenant_id, provider, tool_name, tool_parameters
+            )
+            response = ToolEngine.generic_invoke(
+                tool_runtime, tool_parameters, user_id, DifyWorkflowCallbackHandler(), workflow_call_depth=1
+            )
+
+            response = ToolFileMessageTransformer.transform_tool_invoke_messages(
+                response, user_id=user_id, tenant_id=tenant_id
+            )
+
+            return response
+        except Exception as e:
+            raise e
diff --git a/api/core/plugin/entities/base.py b/api/core/plugin/entities/base.py
new file mode 100644
index 0000000000..bfec0d4302
--- /dev/null
+++ b/api/core/plugin/entities/base.py
@@ -0,0 +1,9 @@
+from datetime import datetime
+
+from pydantic import BaseModel
+
+
+class BasePluginEntity(BaseModel):
+    id: str
+    created_at: datetime
+    updated_at: datetime
diff --git a/api/core/plugin/entities/bundle.py b/api/core/plugin/entities/bundle.py
new file mode 100644
index 0000000000..83d72d5dfa
--- /dev/null
+++ b/api/core/plugin/entities/bundle.py
@@ -0,0 +1,30 @@
+from enum import StrEnum
+
+from pydantic import BaseModel
+
+from core.plugin.entities.plugin import PluginDeclaration, PluginInstallationSource
+
+
+class PluginBundleDependency(BaseModel):
+    class Type(StrEnum):
+        Github = PluginInstallationSource.Github.value
+        Marketplace = PluginInstallationSource.Marketplace.value
+        Package = PluginInstallationSource.Package.value
+
+    class Github(BaseModel):
+        repo_address: str
+        repo: str
+        release: str
+        packages: str
+
+    class Marketplace(BaseModel):
+        organization: str
+        plugin: str
+        version: str
+
+    class Package(BaseModel):
+        unique_identifier: str
+        manifest: PluginDeclaration
+
+    type: Type
+    value: Github | Marketplace | Package
diff --git a/api/core/plugin/entities/endpoint.py b/api/core/plugin/entities/endpoint.py
new file mode 100644
index 0000000000..6c6c8bf9bc
--- /dev/null
+++ b/api/core/plugin/entities/endpoint.py
@@ -0,0 +1,54 @@
+from datetime import datetime
+from typing import Optional
+
+from pydantic import BaseModel, Field, model_validator
+
+from configs import dify_config
+from core.entities.provider_entities import ProviderConfig
+from core.plugin.entities.base import BasePluginEntity
+
+
+class EndpointDeclaration(BaseModel):
+    """
+    declaration of an endpoint
+    """
+
+    path: str
+    method: str
+    hidden: bool = Field(default=False)
+
+
+class EndpointProviderDeclaration(BaseModel):
+    """
+    declaration of an endpoint group
+    """
+
+    settings: list[ProviderConfig] = Field(default_factory=list)
+    endpoints: Optional[list[EndpointDeclaration]] = Field(default_factory=list)
+
+
+class EndpointEntity(BasePluginEntity):
+    """
+    entity of an endpoint
+    """
+
+    settings: dict
+    tenant_id: str
+    plugin_id: str
+    expired_at: datetime
+    declaration: EndpointProviderDeclaration = Field(default_factory=EndpointProviderDeclaration)
+
+
+class EndpointEntityWithInstance(EndpointEntity):
+    name: str
+    enabled: bool
+    url: str
+    hook_id: str
+
+    @model_validator(mode="before")
+    @classmethod
+    def render_url_template(cls, values):
+        if "url" not in values:
+            url_template = dify_config.ENDPOINT_URL_TEMPLATE
+            values["url"] = url_template.replace("{hook_id}", values["hook_id"])
+        return values
diff --git a/api/core/plugin/entities/marketplace.py b/api/core/plugin/entities/marketplace.py
new file mode 100644
index 0000000000..a19a44aa3c
--- /dev/null
+++ b/api/core/plugin/entities/marketplace.py
@@ -0,0 +1,45 @@
+from typing import Optional
+
+from pydantic import BaseModel, Field, model_validator
+
+from core.model_runtime.entities.provider_entities import ProviderEntity
+from core.plugin.entities.endpoint import EndpointProviderDeclaration
+from core.plugin.entities.plugin import PluginResourceRequirements
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_entities import ToolProviderEntity
+
+
+class MarketplacePluginDeclaration(BaseModel):
+    name: str = Field(..., description="Unique identifier for the plugin within the marketplace")
+    org: str = Field(..., description="Organization or developer responsible for creating and maintaining the plugin")
+    plugin_id: str = Field(..., description="Globally unique identifier for the plugin across all marketplaces")
+    icon: str = Field(..., description="URL or path to the plugin's visual representation")
+    label: I18nObject = Field(..., description="Localized display name for the plugin in different languages")
+    brief: I18nObject = Field(..., description="Short, localized description of the plugin's functionality")
+    resource: PluginResourceRequirements = Field(
+        ..., description="Specification of computational resources needed to run the plugin"
+    )
+    endpoint: Optional[EndpointProviderDeclaration] = Field(
+        None, description="Configuration for the plugin's API endpoint, if applicable"
+    )
+    model: Optional[ProviderEntity] = Field(None, description="Details of the AI model used by the plugin, if any")
+    tool: Optional[ToolProviderEntity] = Field(
+        None, description="Information about the tool functionality provided by the plugin, if any"
+    )
+    latest_version: str = Field(
+        ..., description="Most recent version number of the plugin available in the marketplace"
+    )
+    latest_package_identifier: str = Field(
+        ..., description="Unique identifier for the latest package release of the plugin"
+    )
+
+    @model_validator(mode="before")
+    @classmethod
+    def transform_declaration(cls, data: dict):
+        if "endpoint" in data and not data["endpoint"]:
+            del data["endpoint"]
+        if "model" in data and not data["model"]:
+            del data["model"]
+        if "tool" in data and not data["tool"]:
+            del data["tool"]
+        return data
diff --git a/api/core/plugin/entities/parameters.py b/api/core/plugin/entities/parameters.py
new file mode 100644
index 0000000000..7bfa616c11
--- /dev/null
+++ b/api/core/plugin/entities/parameters.py
@@ -0,0 +1,162 @@
+import enum
+from typing import Any, Optional, Union
+
+from pydantic import BaseModel, Field, field_validator
+
+from core.entities.parameter_entities import CommonParameterType
+from core.tools.entities.common_entities import I18nObject
+
+
+class PluginParameterOption(BaseModel):
+    value: str = Field(..., description="The value of the option")
+    label: I18nObject = Field(..., description="The label of the option")
+
+    @field_validator("value", mode="before")
+    @classmethod
+    def transform_id_to_str(cls, value) -> str:
+        if not isinstance(value, str):
+            return str(value)
+        else:
+            return value
+
+
+class PluginParameterType(enum.StrEnum):
+    """
+    all available parameter types
+    """
+
+    STRING = CommonParameterType.STRING.value
+    NUMBER = CommonParameterType.NUMBER.value
+    BOOLEAN = CommonParameterType.BOOLEAN.value
+    SELECT = CommonParameterType.SELECT.value
+    SECRET_INPUT = CommonParameterType.SECRET_INPUT.value
+    FILE = CommonParameterType.FILE.value
+    FILES = CommonParameterType.FILES.value
+    APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
+    MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
+    TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value
+
+    # deprecated, should not use.
+    SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value
+
+
+class PluginParameterAutoGenerate(BaseModel):
+    class Type(enum.StrEnum):
+        PROMPT_INSTRUCTION = "prompt_instruction"
+
+    type: Type
+
+
+class PluginParameterTemplate(BaseModel):
+    enabled: bool = Field(default=False, description="Whether the parameter is jinja enabled")
+
+
+class PluginParameter(BaseModel):
+    name: str = Field(..., description="The name of the parameter")
+    label: I18nObject = Field(..., description="The label presented to the user")
+    placeholder: Optional[I18nObject] = Field(default=None, description="The placeholder presented to the user")
+    scope: str | None = None
+    auto_generate: Optional[PluginParameterAutoGenerate] = None
+    template: Optional[PluginParameterTemplate] = None
+    required: bool = False
+    default: Optional[Union[float, int, str]] = None
+    min: Optional[Union[float, int]] = None
+    max: Optional[Union[float, int]] = None
+    precision: Optional[int] = None
+    options: list[PluginParameterOption] = Field(default_factory=list)
+
+    @field_validator("options", mode="before")
+    @classmethod
+    def transform_options(cls, v):
+        if not isinstance(v, list):
+            return []
+        return v
+
+
+def as_normal_type(typ: enum.StrEnum):
+    if typ.value in {
+        PluginParameterType.SECRET_INPUT,
+        PluginParameterType.SELECT,
+    }:
+        return "string"
+    return typ.value
+
+
+def cast_parameter_value(typ: enum.StrEnum, value: Any, /):
+    try:
+        match typ.value:
+            case PluginParameterType.STRING | PluginParameterType.SECRET_INPUT | PluginParameterType.SELECT:
+                if value is None:
+                    return ""
+                else:
+                    return value if isinstance(value, str) else str(value)
+
+            case PluginParameterType.BOOLEAN:
+                if value is None:
+                    return False
+                elif isinstance(value, str):
+                    # Allowed YAML boolean value strings: https://yaml.org/type/bool.html
+                    # and also '0' for False and '1' for True
+                    match value.lower():
+                        case "true" | "yes" | "y" | "1":
+                            return True
+                        case "false" | "no" | "n" | "0":
+                            return False
+                        case _:
+                            return bool(value)
+                else:
+                    return value if isinstance(value, bool) else bool(value)
+
+            case PluginParameterType.NUMBER:
+                if isinstance(value, int | float):
+                    return value
+                elif isinstance(value, str) and value:
+                    if "." in value:
+                        return float(value)
+                    else:
+                        return int(value)
+            case PluginParameterType.SYSTEM_FILES | PluginParameterType.FILES:
+                if not isinstance(value, list):
+                    return [value]
+                return value
+            case PluginParameterType.FILE:
+                if isinstance(value, list):
+                    if len(value) != 1:
+                        raise ValueError("This parameter only accepts one file but got multiple files while invoking.")
+                    else:
+                        return value[0]
+                return value
+            case PluginParameterType.MODEL_SELECTOR | PluginParameterType.APP_SELECTOR:
+                if not isinstance(value, dict):
+                    raise ValueError("The selector must be a dictionary.")
+                return value
+            case PluginParameterType.TOOLS_SELECTOR:
+                if not isinstance(value, list):
+                    raise ValueError("The tools selector must be a list.")
+                return value
+            case _:
+                return str(value)
+    except ValueError:
+        raise
+    except Exception:
+        raise ValueError(f"The tool parameter value {value} is not in correct type of {as_normal_type(typ)}.")
+
+
+def init_frontend_parameter(rule: PluginParameter, type: enum.StrEnum, value: Any):
+    """
+    init frontend parameter by rule
+    """
+    parameter_value = value
+    if not parameter_value and parameter_value != 0:
+        # get default value
+        parameter_value = rule.default
+        if not parameter_value and rule.required:
+            raise ValueError(f"tool parameter {rule.name} not found in tool config")
+
+    if type == PluginParameterType.SELECT:
+        # check if tool_parameter_config in options
+        options = [x.value for x in rule.options]
+        if parameter_value is not None and parameter_value not in options:
+            raise ValueError(f"tool parameter {rule.name} value {parameter_value} not in options {options}")
+
+    return cast_parameter_value(type, parameter_value)
diff --git a/api/core/plugin/entities/plugin.py b/api/core/plugin/entities/plugin.py
new file mode 100644
index 0000000000..632c9727b0
--- /dev/null
+++ b/api/core/plugin/entities/plugin.py
@@ -0,0 +1,220 @@
+import datetime
+import enum
+import re
+from collections.abc import Mapping
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field, model_validator
+
+from core.agent.plugin_entities import AgentStrategyProviderEntity
+from core.model_runtime.entities.provider_entities import ProviderEntity
+from core.plugin.entities.base import BasePluginEntity
+from core.plugin.entities.endpoint import EndpointProviderDeclaration
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_entities import ToolProviderEntity
+
+
+class PluginInstallationSource(enum.StrEnum):
+    Github = "github"
+    Marketplace = "marketplace"
+    Package = "package"
+    Remote = "remote"
+
+
+class PluginResourceRequirements(BaseModel):
+    memory: int
+
+    class Permission(BaseModel):
+        class Tool(BaseModel):
+            enabled: Optional[bool] = Field(default=False)
+
+        class Model(BaseModel):
+            enabled: Optional[bool] = Field(default=False)
+            llm: Optional[bool] = Field(default=False)
+            text_embedding: Optional[bool] = Field(default=False)
+            rerank: Optional[bool] = Field(default=False)
+            tts: Optional[bool] = Field(default=False)
+            speech2text: Optional[bool] = Field(default=False)
+            moderation: Optional[bool] = Field(default=False)
+
+        class Node(BaseModel):
+            enabled: Optional[bool] = Field(default=False)
+
+        class Endpoint(BaseModel):
+            enabled: Optional[bool] = Field(default=False)
+
+        class Storage(BaseModel):
+            enabled: Optional[bool] = Field(default=False)
+            size: int = Field(ge=1024, le=1073741824, default=1048576)
+
+        tool: Optional[Tool] = Field(default=None)
+        model: Optional[Model] = Field(default=None)
+        node: Optional[Node] = Field(default=None)
+        endpoint: Optional[Endpoint] = Field(default=None)
+        storage: Storage = Field(default=None)
+
+    permission: Optional[Permission] = Field(default=None)
+
+
+class PluginCategory(enum.StrEnum):
+    Tool = "tool"
+    Model = "model"
+    Extension = "extension"
+    AgentStrategy = "agent-strategy"
+
+
+class PluginDeclaration(BaseModel):
+    class Plugins(BaseModel):
+        tools: Optional[list[str]] = Field(default_factory=list)
+        models: Optional[list[str]] = Field(default_factory=list)
+        endpoints: Optional[list[str]] = Field(default_factory=list)
+
+    version: str = Field(..., pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$")
+    author: Optional[str] = Field(..., pattern=r"^[a-zA-Z0-9_-]{1,64}$")
+    name: str = Field(..., pattern=r"^[a-z0-9_-]{1,128}$")
+    description: I18nObject
+    icon: str
+    label: I18nObject
+    category: PluginCategory
+    created_at: datetime.datetime
+    resource: PluginResourceRequirements
+    plugins: Plugins
+    tags: list[str] = Field(default_factory=list)
+    verified: bool = Field(default=False)
+    tool: Optional[ToolProviderEntity] = None
+    model: Optional[ProviderEntity] = None
+    endpoint: Optional[EndpointProviderDeclaration] = None
+    agent_strategy: Optional[AgentStrategyProviderEntity] = None
+
+    @model_validator(mode="before")
+    @classmethod
+    def validate_category(cls, values: dict) -> dict:
+        # auto detect category
+        if values.get("tool"):
+            values["category"] = PluginCategory.Tool
+        elif values.get("model"):
+            values["category"] = PluginCategory.Model
+        elif values.get("agent_strategy"):
+            values["category"] = PluginCategory.AgentStrategy
+        else:
+            values["category"] = PluginCategory.Extension
+        return values
+
+
+class PluginInstallation(BasePluginEntity):
+    tenant_id: str
+    endpoints_setups: int
+    endpoints_active: int
+    runtime_type: str
+    source: PluginInstallationSource
+    meta: Mapping[str, Any]
+    plugin_id: str
+    plugin_unique_identifier: str
+    version: str
+    checksum: str
+    declaration: PluginDeclaration
+
+
+class PluginEntity(PluginInstallation):
+    name: str
+    installation_id: str
+    version: str
+    latest_version: Optional[str] = None
+    latest_unique_identifier: Optional[str] = None
+
+    @model_validator(mode="after")
+    def set_plugin_id(self):
+        if self.declaration.tool:
+            self.declaration.tool.plugin_id = self.plugin_id
+        return self
+
+
+class GithubPackage(BaseModel):
+    repo: str
+    version: str
+    package: str
+
+
+class GithubVersion(BaseModel):
+    repo: str
+    version: str
+
+
+class GenericProviderID:
+    organization: str
+    plugin_name: str
+    provider_name: str
+    is_hardcoded: bool
+
+    def to_string(self) -> str:
+        return str(self)
+
+    def __str__(self) -> str:
+        return f"{self.organization}/{self.plugin_name}/{self.provider_name}"
+
+    def __init__(self, value: str, is_hardcoded: bool = False) -> None:
+        # check if the value is a valid plugin id with format: $organization/$plugin_name/$provider_name
+        if not re.match(r"^[a-z0-9_-]+\/[a-z0-9_-]+\/[a-z0-9_-]+$", value):
+            # check if matches [a-z0-9_-]+, if yes, append with langgenius/$value/$value
+            if re.match(r"^[a-z0-9_-]+$", value):
+                value = f"langgenius/{value}/{value}"
+            else:
+                raise ValueError(f"Invalid plugin id {value}")
+
+        self.organization, self.plugin_name, self.provider_name = value.split("/")
+        self.is_hardcoded = is_hardcoded
+
+    @property
+    def plugin_id(self) -> str:
+        return f"{self.organization}/{self.plugin_name}"
+
+
+class ModelProviderID(GenericProviderID):
+    def __init__(self, value: str, is_hardcoded: bool = False) -> None:
+        super().__init__(value, is_hardcoded)
+        if self.organization == "langgenius" and self.provider_name == "google":
+            self.plugin_name = "gemini"
+
+
+class ToolProviderID(GenericProviderID):
+    def __init__(self, value: str, is_hardcoded: bool = False) -> None:
+        super().__init__(value, is_hardcoded)
+        if self.organization == "langgenius":
+            if self.provider_name in ["jina", "siliconflow"]:
+                self.plugin_name = f"{self.provider_name}_tool"
+
+
+class PluginDependency(BaseModel):
+    class Type(enum.StrEnum):
+        Github = PluginInstallationSource.Github.value
+        Marketplace = PluginInstallationSource.Marketplace.value
+        Package = PluginInstallationSource.Package.value
+
+    class Github(BaseModel):
+        repo: str
+        version: str
+        package: str
+        github_plugin_unique_identifier: str
+
+        @property
+        def plugin_unique_identifier(self) -> str:
+            return self.github_plugin_unique_identifier
+
+    class Marketplace(BaseModel):
+        marketplace_plugin_unique_identifier: str
+
+        @property
+        def plugin_unique_identifier(self) -> str:
+            return self.marketplace_plugin_unique_identifier
+
+    class Package(BaseModel):
+        plugin_unique_identifier: str
+
+    type: Type
+    value: Github | Marketplace | Package
+    current_identifier: Optional[str] = None
+
+
+class MissingPluginDependency(BaseModel):
+    plugin_unique_identifier: str
+    current_identifier: Optional[str] = None
diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py
new file mode 100644
index 0000000000..1588cbc3c7
--- /dev/null
+++ b/api/core/plugin/entities/plugin_daemon.py
@@ -0,0 +1,160 @@
+from datetime import datetime
+from enum import StrEnum
+from typing import Generic, Optional, TypeVar
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from core.agent.plugin_entities import AgentProviderEntityWithPlugin
+from core.model_runtime.entities.model_entities import AIModelEntity
+from core.model_runtime.entities.provider_entities import ProviderEntity
+from core.plugin.entities.base import BasePluginEntity
+from core.plugin.entities.plugin import PluginDeclaration
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin
+
+T = TypeVar("T", bound=(BaseModel | dict | list | bool | str))
+
+
+class PluginDaemonBasicResponse(BaseModel, Generic[T]):
+    """
+    Basic response from plugin daemon.
+    """
+
+    code: int
+    message: str
+    data: Optional[T]
+
+
+class InstallPluginMessage(BaseModel):
+    """
+    Message for installing a plugin.
+    """
+
+    class Event(StrEnum):
+        Info = "info"
+        Done = "done"
+        Error = "error"
+
+    event: Event
+    data: str
+
+
+class PluginToolProviderEntity(BaseModel):
+    provider: str
+    plugin_unique_identifier: str
+    plugin_id: str
+    declaration: ToolProviderEntityWithPlugin
+
+
+class PluginAgentProviderEntity(BaseModel):
+    provider: str
+    plugin_unique_identifier: str
+    plugin_id: str
+    declaration: AgentProviderEntityWithPlugin
+
+
+class PluginBasicBooleanResponse(BaseModel):
+    """
+    Basic boolean response from plugin daemon.
+    """
+
+    result: bool
+    credentials: dict | None = None
+
+
+class PluginModelSchemaEntity(BaseModel):
+    model_schema: AIModelEntity = Field(description="The model schema.")
+
+    # pydantic configs
+    model_config = ConfigDict(protected_namespaces=())
+
+
+class PluginModelProviderEntity(BaseModel):
+    id: str = Field(description="ID")
+    created_at: datetime = Field(description="The created at time of the model provider.")
+    updated_at: datetime = Field(description="The updated at time of the model provider.")
+    provider: str = Field(description="The provider of the model.")
+    tenant_id: str = Field(description="The tenant ID.")
+    plugin_unique_identifier: str = Field(description="The plugin unique identifier.")
+    plugin_id: str = Field(description="The plugin ID.")
+    declaration: ProviderEntity = Field(description="The declaration of the model provider.")
+
+
+class PluginTextEmbeddingNumTokensResponse(BaseModel):
+    """
+    Response for number of tokens.
+    """
+
+    num_tokens: list[int] = Field(description="The number of tokens.")
+
+
+class PluginLLMNumTokensResponse(BaseModel):
+    """
+    Response for number of tokens.
+    """
+
+    num_tokens: int = Field(description="The number of tokens.")
+
+
+class PluginStringResultResponse(BaseModel):
+    result: str = Field(description="The result of the string.")
+
+
+class PluginVoiceEntity(BaseModel):
+    name: str = Field(description="The name of the voice.")
+    value: str = Field(description="The value of the voice.")
+
+
+class PluginVoicesResponse(BaseModel):
+    voices: list[PluginVoiceEntity] = Field(description="The result of the voices.")
+
+
+class PluginDaemonError(BaseModel):
+    """
+    Error from plugin daemon.
+    """
+
+    error_type: str
+    message: str
+
+
+class PluginDaemonInnerError(Exception):
+    code: int
+    message: str
+
+    def __init__(self, code: int, message: str):
+        self.code = code
+        self.message = message
+
+
+class PluginInstallTaskStatus(StrEnum):
+    Pending = "pending"
+    Running = "running"
+    Success = "success"
+    Failed = "failed"
+
+
+class PluginInstallTaskPluginStatus(BaseModel):
+    plugin_unique_identifier: str = Field(description="The plugin unique identifier of the install task.")
+    plugin_id: str = Field(description="The plugin ID of the install task.")
+    status: PluginInstallTaskStatus = Field(description="The status of the install task.")
+    message: str = Field(description="The message of the install task.")
+    icon: str = Field(description="The icon of the plugin.")
+    labels: I18nObject = Field(description="The labels of the plugin.")
+
+
+class PluginInstallTask(BasePluginEntity):
+    status: PluginInstallTaskStatus = Field(description="The status of the install task.")
+    total_plugins: int = Field(description="The total number of plugins to be installed.")
+    completed_plugins: int = Field(description="The number of plugins that have been installed.")
+    plugins: list[PluginInstallTaskPluginStatus] = Field(description="The status of the plugins.")
+
+
+class PluginInstallTaskStartResponse(BaseModel):
+    all_installed: bool = Field(description="Whether all plugins are installed.")
+    task_id: str = Field(description="The ID of the install task.")
+
+
+class PluginUploadResponse(BaseModel):
+    unique_identifier: str = Field(description="The unique identifier of the plugin.")
+    manifest: PluginDeclaration
diff --git a/api/core/plugin/entities/request.py b/api/core/plugin/entities/request.py
new file mode 100644
index 0000000000..837dcf59c4
--- /dev/null
+++ b/api/core/plugin/entities/request.py
@@ -0,0 +1,206 @@
+from typing import Any, Literal, Optional
+
+from pydantic import BaseModel, ConfigDict, Field, field_validator
+
+from core.entities.provider_entities import BasicProviderConfig
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    PromptMessage,
+    PromptMessageRole,
+    PromptMessageTool,
+    SystemPromptMessage,
+    ToolPromptMessage,
+    UserPromptMessage,
+)
+from core.model_runtime.entities.model_entities import ModelType
+from core.workflow.nodes.parameter_extractor.entities import (
+    ModelConfig as ParameterExtractorModelConfig,
+)
+from core.workflow.nodes.parameter_extractor.entities import (
+    ParameterConfig,
+)
+from core.workflow.nodes.question_classifier.entities import (
+    ClassConfig,
+)
+from core.workflow.nodes.question_classifier.entities import (
+    ModelConfig as QuestionClassifierModelConfig,
+)
+
+
+class RequestInvokeTool(BaseModel):
+    """
+    Request to invoke a tool
+    """
+
+    tool_type: Literal["builtin", "workflow", "api"]
+    provider: str
+    tool: str
+    tool_parameters: dict
+
+
+class BaseRequestInvokeModel(BaseModel):
+    provider: str
+    model: str
+    model_type: ModelType
+
+    model_config = ConfigDict(protected_namespaces=())
+
+
+class RequestInvokeLLM(BaseRequestInvokeModel):
+    """
+    Request to invoke LLM
+    """
+
+    model_type: ModelType = ModelType.LLM
+    mode: str
+    completion_params: dict[str, Any] = Field(default_factory=dict)
+    prompt_messages: list[PromptMessage] = Field(default_factory=list)
+    tools: Optional[list[PromptMessageTool]] = Field(default_factory=list)
+    stop: Optional[list[str]] = Field(default_factory=list)
+    stream: Optional[bool] = False
+
+    model_config = ConfigDict(protected_namespaces=())
+
+    @field_validator("prompt_messages", mode="before")
+    @classmethod
+    def convert_prompt_messages(cls, v):
+        if not isinstance(v, list):
+            raise ValueError("prompt_messages must be a list")
+
+        for i in range(len(v)):
+            if v[i]["role"] == PromptMessageRole.USER.value:
+                v[i] = UserPromptMessage(**v[i])
+            elif v[i]["role"] == PromptMessageRole.ASSISTANT.value:
+                v[i] = AssistantPromptMessage(**v[i])
+            elif v[i]["role"] == PromptMessageRole.SYSTEM.value:
+                v[i] = SystemPromptMessage(**v[i])
+            elif v[i]["role"] == PromptMessageRole.TOOL.value:
+                v[i] = ToolPromptMessage(**v[i])
+            else:
+                v[i] = PromptMessage(**v[i])
+
+        return v
+
+
+class RequestInvokeTextEmbedding(BaseRequestInvokeModel):
+    """
+    Request to invoke text embedding
+    """
+
+    model_type: ModelType = ModelType.TEXT_EMBEDDING
+    texts: list[str]
+
+
+class RequestInvokeRerank(BaseRequestInvokeModel):
+    """
+    Request to invoke rerank
+    """
+
+    model_type: ModelType = ModelType.RERANK
+    query: str
+    docs: list[str]
+    score_threshold: float
+    top_n: int
+
+
+class RequestInvokeTTS(BaseRequestInvokeModel):
+    """
+    Request to invoke TTS
+    """
+
+    model_type: ModelType = ModelType.TTS
+    content_text: str
+    voice: str
+
+
+class RequestInvokeSpeech2Text(BaseRequestInvokeModel):
+    """
+    Request to invoke speech2text
+    """
+
+    model_type: ModelType = ModelType.SPEECH2TEXT
+    file: bytes
+
+    @field_validator("file", mode="before")
+    @classmethod
+    def convert_file(cls, v):
+        # hex string to bytes
+        if isinstance(v, str):
+            return bytes.fromhex(v)
+        else:
+            raise ValueError("file must be a hex string")
+
+
+class RequestInvokeModeration(BaseRequestInvokeModel):
+    """
+    Request to invoke moderation
+    """
+
+    model_type: ModelType = ModelType.MODERATION
+    text: str
+
+
+class RequestInvokeParameterExtractorNode(BaseModel):
+    """
+    Request to invoke parameter extractor node
+    """
+
+    parameters: list[ParameterConfig]
+    model: ParameterExtractorModelConfig
+    instruction: str
+    query: str
+
+
+class RequestInvokeQuestionClassifierNode(BaseModel):
+    """
+    Request to invoke question classifier node
+    """
+
+    query: str
+    model: QuestionClassifierModelConfig
+    classes: list[ClassConfig]
+    instruction: str
+
+
+class RequestInvokeApp(BaseModel):
+    """
+    Request to invoke app
+    """
+
+    app_id: str
+    inputs: dict[str, Any]
+    query: Optional[str] = None
+    response_mode: Literal["blocking", "streaming"]
+    conversation_id: Optional[str] = None
+    user: Optional[str] = None
+    files: list[dict] = Field(default_factory=list)
+
+
+class RequestInvokeEncrypt(BaseModel):
+    """
+    Request to encryption
+    """
+
+    opt: Literal["encrypt", "decrypt", "clear"]
+    namespace: Literal["endpoint"]
+    identity: str
+    data: dict = Field(default_factory=dict)
+    config: list[BasicProviderConfig] = Field(default_factory=list)
+
+
+class RequestInvokeSummary(BaseModel):
+    """
+    Request to summary
+    """
+
+    text: str
+    instruction: str
+
+
+class RequestRequestUploadFile(BaseModel):
+    """
+    Request to upload file
+    """
+
+    filename: str
+    mimetype: str
diff --git a/api/core/plugin/manager/agent.py b/api/core/plugin/manager/agent.py
new file mode 100644
index 0000000000..50172f12f2
--- /dev/null
+++ b/api/core/plugin/manager/agent.py
@@ -0,0 +1,113 @@
+from collections.abc import Generator
+from typing import Any, Optional
+
+from core.agent.entities import AgentInvokeMessage
+from core.plugin.entities.plugin import GenericProviderID
+from core.plugin.entities.plugin_daemon import (
+    PluginAgentProviderEntity,
+)
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginAgentManager(BasePluginManager):
+    def fetch_agent_strategy_providers(self, tenant_id: str) -> list[PluginAgentProviderEntity]:
+        """
+        Fetch agent providers for the given tenant.
+        """
+
+        def transformer(json_response: dict[str, Any]) -> dict:
+            for provider in json_response.get("data", []):
+                declaration = provider.get("declaration", {}) or {}
+                provider_name = declaration.get("identity", {}).get("name")
+                for strategy in declaration.get("strategies", []):
+                    strategy["identity"]["provider"] = provider_name
+
+            return json_response
+
+        response = self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/agent_strategies",
+            list[PluginAgentProviderEntity],
+            params={"page": 1, "page_size": 256},
+            transformer=transformer,
+        )
+
+        for provider in response:
+            provider.declaration.identity.name = f"{provider.plugin_id}/{provider.declaration.identity.name}"
+
+            # override the provider name for each tool to plugin_id/provider_name
+            for strategy in provider.declaration.strategies:
+                strategy.identity.provider = provider.declaration.identity.name
+
+        return response
+
+    def fetch_agent_strategy_provider(self, tenant_id: str, provider: str) -> PluginAgentProviderEntity:
+        """
+        Fetch tool provider for the given tenant and plugin.
+        """
+        agent_provider_id = GenericProviderID(provider)
+
+        def transformer(json_response: dict[str, Any]) -> dict:
+            # skip if error occurs
+            if json_response.get("data") is None or json_response.get("data", {}).get("declaration") is None:
+                return json_response
+
+            for strategy in json_response.get("data", {}).get("declaration", {}).get("strategies", []):
+                strategy["identity"]["provider"] = agent_provider_id.provider_name
+
+            return json_response
+
+        response = self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/agent_strategy",
+            PluginAgentProviderEntity,
+            params={"provider": agent_provider_id.provider_name, "plugin_id": agent_provider_id.plugin_id},
+            transformer=transformer,
+        )
+
+        response.declaration.identity.name = f"{response.plugin_id}/{response.declaration.identity.name}"
+
+        # override the provider name for each tool to plugin_id/provider_name
+        for strategy in response.declaration.strategies:
+            strategy.identity.provider = response.declaration.identity.name
+
+        return response
+
+    def invoke(
+        self,
+        tenant_id: str,
+        user_id: str,
+        agent_provider: str,
+        agent_strategy: str,
+        agent_params: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[AgentInvokeMessage, None, None]:
+        """
+        Invoke the agent with the given tenant, user, plugin, provider, name and parameters.
+        """
+
+        agent_provider_id = GenericProviderID(agent_provider)
+
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/agent_strategy/invoke",
+            AgentInvokeMessage,
+            data={
+                "user_id": user_id,
+                "conversation_id": conversation_id,
+                "app_id": app_id,
+                "message_id": message_id,
+                "data": {
+                    "agent_strategy_provider": agent_provider_id.provider_name,
+                    "agent_strategy": agent_strategy,
+                    "agent_strategy_params": agent_params,
+                },
+            },
+            headers={
+                "X-Plugin-ID": agent_provider_id.plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+        return response
diff --git a/api/core/plugin/manager/asset.py b/api/core/plugin/manager/asset.py
new file mode 100644
index 0000000000..17755d3561
--- /dev/null
+++ b/api/core/plugin/manager/asset.py
@@ -0,0 +1,12 @@
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginAssetManager(BasePluginManager):
+    def fetch_asset(self, tenant_id: str, id: str) -> bytes:
+        """
+        Fetch an asset by id.
+        """
+        response = self._request(method="GET", path=f"plugin/{tenant_id}/asset/{id}")
+        if response.status_code != 200:
+            raise ValueError(f"can not found asset {id}")
+        return response.content
diff --git a/api/core/plugin/manager/base.py b/api/core/plugin/manager/base.py
new file mode 100644
index 0000000000..7985aa68da
--- /dev/null
+++ b/api/core/plugin/manager/base.py
@@ -0,0 +1,237 @@
+import inspect
+import json
+import logging
+from collections.abc import Callable, Generator
+from typing import TypeVar
+
+import requests
+from pydantic import BaseModel
+from yarl import URL
+
+from configs import dify_config
+from core.model_runtime.errors.invoke import (
+    InvokeAuthorizationError,
+    InvokeBadRequestError,
+    InvokeConnectionError,
+    InvokeRateLimitError,
+    InvokeServerUnavailableError,
+)
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse, PluginDaemonError, PluginDaemonInnerError
+from core.plugin.manager.exc import (
+    PluginDaemonBadRequestError,
+    PluginDaemonInternalServerError,
+    PluginDaemonNotFoundError,
+    PluginDaemonUnauthorizedError,
+    PluginInvokeError,
+    PluginNotFoundError,
+    PluginPermissionDeniedError,
+    PluginUniqueIdentifierError,
+)
+
+plugin_daemon_inner_api_baseurl = dify_config.PLUGIN_DAEMON_URL
+plugin_daemon_inner_api_key = dify_config.PLUGIN_DAEMON_KEY
+
+T = TypeVar("T", bound=(BaseModel | dict | list | bool | str))
+
+logger = logging.getLogger(__name__)
+
+
+class BasePluginManager:
+    def _request(
+        self,
+        method: str,
+        path: str,
+        headers: dict | None = None,
+        data: bytes | dict | str | None = None,
+        params: dict | None = None,
+        files: dict | None = None,
+        stream: bool = False,
+    ) -> requests.Response:
+        """
+        Make a request to the plugin daemon inner API.
+        """
+        url = URL(str(plugin_daemon_inner_api_baseurl)) / path
+        headers = headers or {}
+        headers["X-Api-Key"] = plugin_daemon_inner_api_key
+        headers["Accept-Encoding"] = "gzip, deflate, br"
+
+        if headers.get("Content-Type") == "application/json" and isinstance(data, dict):
+            data = json.dumps(data)
+
+        try:
+            response = requests.request(
+                method=method, url=str(url), headers=headers, data=data, params=params, stream=stream, files=files
+            )
+        except requests.exceptions.ConnectionError:
+            logger.exception("Request to Plugin Daemon Service failed")
+            raise PluginDaemonInnerError(code=-500, message="Request to Plugin Daemon Service failed")
+
+        return response
+
+    def _stream_request(
+        self,
+        method: str,
+        path: str,
+        params: dict | None = None,
+        headers: dict | None = None,
+        data: bytes | dict | None = None,
+        files: dict | None = None,
+    ) -> Generator[bytes, None, None]:
+        """
+        Make a stream request to the plugin daemon inner API
+        """
+        response = self._request(method, path, headers, data, params, files, stream=True)
+        for line in response.iter_lines():
+            line = line.decode("utf-8").strip()
+            if line.startswith("data:"):
+                line = line[5:].strip()
+            if line:
+                yield line
+
+    def _stream_request_with_model(
+        self,
+        method: str,
+        path: str,
+        type: type[T],
+        headers: dict | None = None,
+        data: bytes | dict | None = None,
+        params: dict | None = None,
+        files: dict | None = None,
+    ) -> Generator[T, None, None]:
+        """
+        Make a stream request to the plugin daemon inner API and yield the response as a model.
+        """
+        for line in self._stream_request(method, path, params, headers, data, files):
+            yield type(**json.loads(line))  # type: ignore
+
+    def _request_with_model(
+        self,
+        method: str,
+        path: str,
+        type: type[T],
+        headers: dict | None = None,
+        data: bytes | None = None,
+        params: dict | None = None,
+        files: dict | None = None,
+    ) -> T:
+        """
+        Make a request to the plugin daemon inner API and return the response as a model.
+        """
+        response = self._request(method, path, headers, data, params, files)
+        return type(**response.json())  # type: ignore
+
+    def _request_with_plugin_daemon_response(
+        self,
+        method: str,
+        path: str,
+        type: type[T],
+        headers: dict | None = None,
+        data: bytes | dict | None = None,
+        params: dict | None = None,
+        files: dict | None = None,
+        transformer: Callable[[dict], dict] | None = None,
+    ) -> T:
+        """
+        Make a request to the plugin daemon inner API and return the response as a model.
+        """
+        response = self._request(method, path, headers, data, params, files)
+        json_response = response.json()
+        if transformer:
+            json_response = transformer(json_response)
+
+        rep = PluginDaemonBasicResponse[type](**json_response)  # type: ignore
+        if rep.code != 0:
+            try:
+                error = PluginDaemonError(**json.loads(rep.message))
+            except Exception:
+                raise ValueError(f"{rep.message}, code: {rep.code}")
+
+            self._handle_plugin_daemon_error(error.error_type, error.message)
+        if rep.data is None:
+            frame = inspect.currentframe()
+            raise ValueError(f"got empty data from plugin daemon: {frame.f_lineno if frame else 'unknown'}")
+
+        return rep.data
+
+    def _request_with_plugin_daemon_response_stream(
+        self,
+        method: str,
+        path: str,
+        type: type[T],
+        headers: dict | None = None,
+        data: bytes | dict | None = None,
+        params: dict | None = None,
+        files: dict | None = None,
+    ) -> Generator[T, None, None]:
+        """
+        Make a stream request to the plugin daemon inner API and yield the response as a model.
+        """
+        for line in self._stream_request(method, path, params, headers, data, files):
+            line_data = None
+            try:
+                line_data = json.loads(line)
+                rep = PluginDaemonBasicResponse[type](**line_data)  # type: ignore
+            except Exception:
+                # TODO modify this when line_data has code and message
+                if line_data and "error" in line_data:
+                    raise ValueError(line_data["error"])
+                else:
+                    raise ValueError(line)
+
+            if rep.code != 0:
+                if rep.code == -500:
+                    try:
+                        error = PluginDaemonError(**json.loads(rep.message))
+                    except Exception:
+                        raise PluginDaemonInnerError(code=rep.code, message=rep.message)
+
+                    self._handle_plugin_daemon_error(error.error_type, error.message)
+                raise ValueError(f"plugin daemon: {rep.message}, code: {rep.code}")
+            if rep.data is None:
+                frame = inspect.currentframe()
+                raise ValueError(f"got empty data from plugin daemon: {frame.f_lineno if frame else 'unknown'}")
+            yield rep.data
+
+    def _handle_plugin_daemon_error(self, error_type: str, message: str):
+        """
+        handle the error from plugin daemon
+        """
+        match error_type:
+            case PluginDaemonInnerError.__name__:
+                raise PluginDaemonInnerError(code=-500, message=message)
+            case PluginInvokeError.__name__:
+                error_object = json.loads(message)
+                invoke_error_type = error_object.get("error_type")
+                args = error_object.get("args")
+                match invoke_error_type:
+                    case InvokeRateLimitError.__name__:
+                        raise InvokeRateLimitError(description=args.get("description"))
+                    case InvokeAuthorizationError.__name__:
+                        raise InvokeAuthorizationError(description=args.get("description"))
+                    case InvokeBadRequestError.__name__:
+                        raise InvokeBadRequestError(description=args.get("description"))
+                    case InvokeConnectionError.__name__:
+                        raise InvokeConnectionError(description=args.get("description"))
+                    case InvokeServerUnavailableError.__name__:
+                        raise InvokeServerUnavailableError(description=args.get("description"))
+                    case CredentialsValidateFailedError.__name__:
+                        raise CredentialsValidateFailedError(error_object.get("message"))
+                    case _:
+                        raise PluginInvokeError(description=message)
+            case PluginDaemonInternalServerError.__name__:
+                raise PluginDaemonInternalServerError(description=message)
+            case PluginDaemonBadRequestError.__name__:
+                raise PluginDaemonBadRequestError(description=message)
+            case PluginDaemonNotFoundError.__name__:
+                raise PluginDaemonNotFoundError(description=message)
+            case PluginUniqueIdentifierError.__name__:
+                raise PluginUniqueIdentifierError(description=message)
+            case PluginNotFoundError.__name__:
+                raise PluginNotFoundError(description=message)
+            case PluginDaemonUnauthorizedError.__name__:
+                raise PluginDaemonUnauthorizedError(description=message)
+            case PluginPermissionDeniedError.__name__:
+                raise PluginPermissionDeniedError(description=message)
+            case _:
+                raise Exception(f"got unknown error from plugin daemon: {error_type}, message: {message}")
diff --git a/api/core/plugin/manager/debugging.py b/api/core/plugin/manager/debugging.py
new file mode 100644
index 0000000000..fb6bad7fa3
--- /dev/null
+++ b/api/core/plugin/manager/debugging.py
@@ -0,0 +1,17 @@
+from pydantic import BaseModel
+
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginDebuggingManager(BasePluginManager):
+    def get_debugging_key(self, tenant_id: str) -> str:
+        """
+        Get the debugging key for the given tenant.
+        """
+
+        class Response(BaseModel):
+            key: str
+
+        response = self._request_with_plugin_daemon_response("POST", f"plugin/{tenant_id}/debugging/key", Response)
+
+        return response.key
diff --git a/api/core/plugin/manager/endpoint.py b/api/core/plugin/manager/endpoint.py
new file mode 100644
index 0000000000..415b981ffb
--- /dev/null
+++ b/api/core/plugin/manager/endpoint.py
@@ -0,0 +1,116 @@
+from core.plugin.entities.endpoint import EndpointEntityWithInstance
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginEndpointManager(BasePluginManager):
+    def create_endpoint(
+        self, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict
+    ) -> bool:
+        """
+        Create an endpoint for the given plugin.
+
+        Errors will be raised if any error occurs.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/endpoint/setup",
+            bool,
+            headers={
+                "Content-Type": "application/json",
+            },
+            data={
+                "user_id": user_id,
+                "plugin_unique_identifier": plugin_unique_identifier,
+                "settings": settings,
+                "name": name,
+            },
+        )
+
+    def list_endpoints(self, tenant_id: str, user_id: str, page: int, page_size: int):
+        """
+        List all endpoints for the given tenant and user.
+        """
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/endpoint/list",
+            list[EndpointEntityWithInstance],
+            params={"page": page, "page_size": page_size},
+        )
+
+    def list_endpoints_for_single_plugin(self, tenant_id: str, user_id: str, plugin_id: str, page: int, page_size: int):
+        """
+        List all endpoints for the given tenant, user and plugin.
+        """
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/endpoint/list/plugin",
+            list[EndpointEntityWithInstance],
+            params={"plugin_id": plugin_id, "page": page, "page_size": page_size},
+        )
+
+    def update_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str, name: str, settings: dict):
+        """
+        Update the settings of the given endpoint.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/endpoint/update",
+            bool,
+            data={
+                "user_id": user_id,
+                "endpoint_id": endpoint_id,
+                "name": name,
+                "settings": settings,
+            },
+            headers={
+                "Content-Type": "application/json",
+            },
+        )
+
+    def delete_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str):
+        """
+        Delete the given endpoint.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/endpoint/remove",
+            bool,
+            data={
+                "endpoint_id": endpoint_id,
+            },
+            headers={
+                "Content-Type": "application/json",
+            },
+        )
+
+    def enable_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str):
+        """
+        Enable the given endpoint.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/endpoint/enable",
+            bool,
+            data={
+                "endpoint_id": endpoint_id,
+            },
+            headers={
+                "Content-Type": "application/json",
+            },
+        )
+
+    def disable_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str):
+        """
+        Disable the given endpoint.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/endpoint/disable",
+            bool,
+            data={
+                "endpoint_id": endpoint_id,
+            },
+            headers={
+                "Content-Type": "application/json",
+            },
+        )
diff --git a/api/core/plugin/manager/exc.py b/api/core/plugin/manager/exc.py
new file mode 100644
index 0000000000..54a0b90a8d
--- /dev/null
+++ b/api/core/plugin/manager/exc.py
@@ -0,0 +1,49 @@
+class PluginDaemonError(Exception):
+    """Base class for all plugin daemon errors."""
+
+    def __init__(self, description: str) -> None:
+        self.description = description
+
+    def __str__(self) -> str:
+        # returns the class name and description
+        return f"{self.__class__.__name__}: {self.description}"
+
+
+class PluginDaemonInternalError(PluginDaemonError):
+    pass
+
+
+class PluginDaemonClientSideError(PluginDaemonError):
+    pass
+
+
+class PluginDaemonInternalServerError(PluginDaemonInternalError):
+    description: str = "Internal Server Error"
+
+
+class PluginDaemonUnauthorizedError(PluginDaemonInternalError):
+    description: str = "Unauthorized"
+
+
+class PluginDaemonNotFoundError(PluginDaemonInternalError):
+    description: str = "Not Found"
+
+
+class PluginDaemonBadRequestError(PluginDaemonClientSideError):
+    description: str = "Bad Request"
+
+
+class PluginInvokeError(PluginDaemonClientSideError):
+    description: str = "Invoke Error"
+
+
+class PluginUniqueIdentifierError(PluginDaemonClientSideError):
+    description: str = "Unique Identifier Error"
+
+
+class PluginNotFoundError(PluginDaemonClientSideError):
+    description: str = "Plugin Not Found"
+
+
+class PluginPermissionDeniedError(PluginDaemonClientSideError):
+    description: str = "Permission Denied"
diff --git a/api/core/plugin/manager/model.py b/api/core/plugin/manager/model.py
new file mode 100644
index 0000000000..5ebc0c2320
--- /dev/null
+++ b/api/core/plugin/manager/model.py
@@ -0,0 +1,531 @@
+import binascii
+from collections.abc import Generator, Sequence
+from typing import IO, Optional
+
+from core.model_runtime.entities.llm_entities import LLMResultChunk
+from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
+from core.model_runtime.entities.model_entities import AIModelEntity
+from core.model_runtime.entities.rerank_entities import RerankResult
+from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
+from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.entities.plugin_daemon import (
+    PluginBasicBooleanResponse,
+    PluginDaemonInnerError,
+    PluginLLMNumTokensResponse,
+    PluginModelProviderEntity,
+    PluginModelSchemaEntity,
+    PluginStringResultResponse,
+    PluginTextEmbeddingNumTokensResponse,
+    PluginVoicesResponse,
+)
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginModelManager(BasePluginManager):
+    def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]:
+        """
+        Fetch model providers for the given tenant.
+        """
+        response = self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/models",
+            list[PluginModelProviderEntity],
+            params={"page": 1, "page_size": 256},
+        )
+        return response
+
+    def get_model_schema(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model_type: str,
+        model: str,
+        credentials: dict,
+    ) -> AIModelEntity | None:
+        """
+        Get model schema
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/model/schema",
+            PluginModelSchemaEntity,
+            data={
+                "user_id": user_id,
+                "data": {
+                    "provider": provider,
+                    "model_type": model_type,
+                    "model": model,
+                    "credentials": credentials,
+                },
+            },
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.model_schema
+
+        return None
+
+    def validate_provider_credentials(
+        self, tenant_id: str, user_id: str, plugin_id: str, provider: str, credentials: dict
+    ) -> bool:
+        """
+        validate the credentials of the provider
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/model/validate_provider_credentials",
+            PluginBasicBooleanResponse,
+            data={
+                "user_id": user_id,
+                "data": {
+                    "provider": provider,
+                    "credentials": credentials,
+                },
+            },
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            if resp.credentials and isinstance(resp.credentials, dict):
+                credentials.update(resp.credentials)
+
+            return resp.result
+
+        return False
+
+    def validate_model_credentials(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model_type: str,
+        model: str,
+        credentials: dict,
+    ) -> bool:
+        """
+        validate the credentials of the provider
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/model/validate_model_credentials",
+            PluginBasicBooleanResponse,
+            data={
+                "user_id": user_id,
+                "data": {
+                    "provider": provider,
+                    "model_type": model_type,
+                    "model": model,
+                    "credentials": credentials,
+                },
+            },
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            if resp.credentials and isinstance(resp.credentials, dict):
+                credentials.update(resp.credentials)
+
+            return resp.result
+
+        return False
+
+    def invoke_llm(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Optional[list[PromptMessageTool]] = None,
+        stop: Optional[list[str]] = None,
+        stream: bool = True,
+    ) -> Generator[LLMResultChunk, None, None]:
+        """
+        Invoke llm
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/llm/invoke",
+            type=LLMResultChunk,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "llm",
+                        "model": model,
+                        "credentials": credentials,
+                        "prompt_messages": prompt_messages,
+                        "model_parameters": model_parameters,
+                        "tools": tools,
+                        "stop": stop,
+                        "stream": stream,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        try:
+            yield from response
+        except PluginDaemonInnerError as e:
+            raise ValueError(e.message + str(e.code))
+
+    def get_llm_num_tokens(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model_type: str,
+        model: str,
+        credentials: dict,
+        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]] = None,
+    ) -> int:
+        """
+        Get number of tokens for llm
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/llm/num_tokens",
+            type=PluginLLMNumTokensResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": model_type,
+                        "model": model,
+                        "credentials": credentials,
+                        "prompt_messages": prompt_messages,
+                        "tools": tools,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.num_tokens
+
+        return 0
+
+    def invoke_text_embedding(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        texts: list[str],
+        input_type: str,
+    ) -> TextEmbeddingResult:
+        """
+        Invoke text embedding
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/text_embedding/invoke",
+            type=TextEmbeddingResult,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "text-embedding",
+                        "model": model,
+                        "credentials": credentials,
+                        "texts": texts,
+                        "input_type": input_type,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp
+
+        raise ValueError("Failed to invoke text embedding")
+
+    def get_text_embedding_num_tokens(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        texts: list[str],
+    ) -> list[int]:
+        """
+        Get number of tokens for text embedding
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/text_embedding/num_tokens",
+            type=PluginTextEmbeddingNumTokensResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "text-embedding",
+                        "model": model,
+                        "credentials": credentials,
+                        "texts": texts,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.num_tokens
+
+        return []
+
+    def invoke_rerank(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        query: str,
+        docs: list[str],
+        score_threshold: Optional[float] = None,
+        top_n: Optional[int] = None,
+    ) -> RerankResult:
+        """
+        Invoke rerank
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/rerank/invoke",
+            type=RerankResult,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "rerank",
+                        "model": model,
+                        "credentials": credentials,
+                        "query": query,
+                        "docs": docs,
+                        "score_threshold": score_threshold,
+                        "top_n": top_n,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp
+
+        raise ValueError("Failed to invoke rerank")
+
+    def invoke_tts(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        content_text: str,
+        voice: str,
+    ) -> Generator[bytes, None, None]:
+        """
+        Invoke tts
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/tts/invoke",
+            type=PluginStringResultResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "tts",
+                        "model": model,
+                        "credentials": credentials,
+                        "tenant_id": tenant_id,
+                        "content_text": content_text,
+                        "voice": voice,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        try:
+            for result in response:
+                hex_str = result.result
+                yield binascii.unhexlify(hex_str)
+        except PluginDaemonInnerError as e:
+            raise ValueError(e.message + str(e.code))
+
+    def get_tts_model_voices(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        language: Optional[str] = None,
+    ) -> list[dict]:
+        """
+        Get tts model voices
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/tts/model/voices",
+            type=PluginVoicesResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "tts",
+                        "model": model,
+                        "credentials": credentials,
+                        "language": language,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            voices = []
+            for voice in resp.voices:
+                voices.append({"name": voice.name, "value": voice.value})
+
+            return voices
+
+        return []
+
+    def invoke_speech_to_text(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        file: IO[bytes],
+    ) -> str:
+        """
+        Invoke speech to text
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/speech2text/invoke",
+            type=PluginStringResultResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "speech2text",
+                        "model": model,
+                        "credentials": credentials,
+                        "file": binascii.hexlify(file.read()).decode(),
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.result
+
+        raise ValueError("Failed to invoke speech to text")
+
+    def invoke_moderation(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        text: str,
+    ) -> bool:
+        """
+        Invoke moderation
+        """
+        response = self._request_with_plugin_daemon_response_stream(
+            method="POST",
+            path=f"plugin/{tenant_id}/dispatch/moderation/invoke",
+            type=PluginBasicBooleanResponse,
+            data=jsonable_encoder(
+                {
+                    "user_id": user_id,
+                    "data": {
+                        "provider": provider,
+                        "model_type": "moderation",
+                        "model": model,
+                        "credentials": credentials,
+                        "text": text,
+                    },
+                }
+            ),
+            headers={
+                "X-Plugin-ID": plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.result
+
+        raise ValueError("Failed to invoke moderation")
diff --git a/api/core/plugin/manager/plugin.py b/api/core/plugin/manager/plugin.py
new file mode 100644
index 0000000000..15dcd6cb34
--- /dev/null
+++ b/api/core/plugin/manager/plugin.py
@@ -0,0 +1,249 @@
+from collections.abc import Sequence
+
+from core.plugin.entities.bundle import PluginBundleDependency
+from core.plugin.entities.plugin import (
+    GenericProviderID,
+    MissingPluginDependency,
+    PluginDeclaration,
+    PluginEntity,
+    PluginInstallation,
+    PluginInstallationSource,
+)
+from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginInstallTaskStartResponse, PluginUploadResponse
+from core.plugin.manager.base import BasePluginManager
+
+
+class PluginInstallationManager(BasePluginManager):
+    def fetch_plugin_by_identifier(
+        self,
+        tenant_id: str,
+        identifier: str,
+    ) -> bool:
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/fetch/identifier",
+            bool,
+            params={"plugin_unique_identifier": identifier},
+        )
+
+    def list_plugins(self, tenant_id: str) -> list[PluginEntity]:
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/list",
+            list[PluginEntity],
+            params={"page": 1, "page_size": 256},
+        )
+
+    def upload_pkg(
+        self,
+        tenant_id: str,
+        pkg: bytes,
+        verify_signature: bool = False,
+    ) -> PluginUploadResponse:
+        """
+        Upload a plugin package and return the plugin unique identifier.
+        """
+        body = {
+            "dify_pkg": ("dify_pkg", pkg, "application/octet-stream"),
+        }
+
+        data = {
+            "verify_signature": "true" if verify_signature else "false",
+        }
+
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/upload/package",
+            PluginUploadResponse,
+            files=body,
+            data=data,
+        )
+
+    def upload_bundle(
+        self,
+        tenant_id: str,
+        bundle: bytes,
+        verify_signature: bool = False,
+    ) -> Sequence[PluginBundleDependency]:
+        """
+        Upload a plugin bundle and return the dependencies.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/upload/bundle",
+            list[PluginBundleDependency],
+            files={"dify_bundle": ("dify_bundle", bundle, "application/octet-stream")},
+            data={"verify_signature": "true" if verify_signature else "false"},
+        )
+
+    def install_from_identifiers(
+        self,
+        tenant_id: str,
+        identifiers: Sequence[str],
+        source: PluginInstallationSource,
+        metas: list[dict],
+    ) -> PluginInstallTaskStartResponse:
+        """
+        Install a plugin from an identifier.
+        """
+        # exception will be raised if the request failed
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/identifiers",
+            PluginInstallTaskStartResponse,
+            data={
+                "plugin_unique_identifiers": identifiers,
+                "source": source,
+                "metas": metas,
+            },
+            headers={"Content-Type": "application/json"},
+        )
+
+    def fetch_plugin_installation_tasks(self, tenant_id: str, page: int, page_size: int) -> Sequence[PluginInstallTask]:
+        """
+        Fetch plugin installation tasks.
+        """
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/install/tasks",
+            list[PluginInstallTask],
+            params={"page": page, "page_size": page_size},
+        )
+
+    def fetch_plugin_installation_task(self, tenant_id: str, task_id: str) -> PluginInstallTask:
+        """
+        Fetch a plugin installation task.
+        """
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/install/tasks/{task_id}",
+            PluginInstallTask,
+        )
+
+    def delete_plugin_installation_task(self, tenant_id: str, task_id: str) -> bool:
+        """
+        Delete a plugin installation task.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/tasks/{task_id}/delete",
+            bool,
+        )
+
+    def delete_all_plugin_installation_task_items(self, tenant_id: str) -> bool:
+        """
+        Delete all plugin installation task items.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/tasks/delete_all",
+            bool,
+        )
+
+    def delete_plugin_installation_task_item(self, tenant_id: str, task_id: str, identifier: str) -> bool:
+        """
+        Delete a plugin installation task item.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/tasks/{task_id}/delete/{identifier}",
+            bool,
+        )
+
+    def fetch_plugin_manifest(self, tenant_id: str, plugin_unique_identifier: str) -> PluginDeclaration:
+        """
+        Fetch a plugin manifest.
+        """
+
+        return self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/fetch/manifest",
+            PluginDeclaration,
+            params={"plugin_unique_identifier": plugin_unique_identifier},
+        )
+
+    def fetch_plugin_installation_by_ids(
+        self, tenant_id: str, plugin_ids: Sequence[str]
+    ) -> Sequence[PluginInstallation]:
+        """
+        Fetch plugin installations by ids.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/installation/fetch/batch",
+            list[PluginInstallation],
+            data={"plugin_ids": plugin_ids},
+            headers={"Content-Type": "application/json"},
+        )
+
+    def fetch_missing_dependencies(
+        self, tenant_id: str, plugin_unique_identifiers: list[str]
+    ) -> list[MissingPluginDependency]:
+        """
+        Fetch missing dependencies
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/installation/missing",
+            list[MissingPluginDependency],
+            data={"plugin_unique_identifiers": plugin_unique_identifiers},
+            headers={"Content-Type": "application/json"},
+        )
+
+    def uninstall(self, tenant_id: str, plugin_installation_id: str) -> bool:
+        """
+        Uninstall a plugin.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/uninstall",
+            bool,
+            data={
+                "plugin_installation_id": plugin_installation_id,
+            },
+            headers={"Content-Type": "application/json"},
+        )
+
+    def upgrade_plugin(
+        self,
+        tenant_id: str,
+        original_plugin_unique_identifier: str,
+        new_plugin_unique_identifier: str,
+        source: PluginInstallationSource,
+        meta: dict,
+    ) -> PluginInstallTaskStartResponse:
+        """
+        Upgrade a plugin.
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/install/upgrade",
+            PluginInstallTaskStartResponse,
+            data={
+                "original_plugin_unique_identifier": original_plugin_unique_identifier,
+                "new_plugin_unique_identifier": new_plugin_unique_identifier,
+                "source": source,
+                "meta": meta,
+            },
+            headers={"Content-Type": "application/json"},
+        )
+
+    def check_tools_existence(self, tenant_id: str, provider_ids: Sequence[GenericProviderID]) -> Sequence[bool]:
+        """
+        Check if the tools exist
+        """
+        return self._request_with_plugin_daemon_response(
+            "POST",
+            f"plugin/{tenant_id}/management/tools/check_existence",
+            list[bool],
+            data={
+                "provider_ids": [
+                    {
+                        "plugin_id": provider_id.plugin_id,
+                        "provider_name": provider_id.provider_name,
+                    }
+                    for provider_id in provider_ids
+                ]
+            },
+            headers={"Content-Type": "application/json"},
+        )
diff --git a/api/core/plugin/manager/tool.py b/api/core/plugin/manager/tool.py
new file mode 100644
index 0000000000..23a390f4aa
--- /dev/null
+++ b/api/core/plugin/manager/tool.py
@@ -0,0 +1,188 @@
+from collections.abc import Generator
+from typing import Any, Optional
+
+from pydantic import BaseModel
+
+from core.plugin.entities.plugin import GenericProviderID
+from core.plugin.entities.plugin_daemon import PluginBasicBooleanResponse, PluginToolProviderEntity
+from core.plugin.manager.base import BasePluginManager
+from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
+
+
+class PluginToolManager(BasePluginManager):
+    def fetch_tool_providers(self, tenant_id: str) -> list[PluginToolProviderEntity]:
+        """
+        Fetch tool providers for the given tenant.
+        """
+
+        def transformer(json_response: dict[str, Any]) -> dict:
+            for provider in json_response.get("data", []):
+                declaration = provider.get("declaration", {}) or {}
+                provider_name = declaration.get("identity", {}).get("name")
+                for tool in declaration.get("tools", []):
+                    tool["identity"]["provider"] = provider_name
+
+            return json_response
+
+        response = self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/tools",
+            list[PluginToolProviderEntity],
+            params={"page": 1, "page_size": 256},
+            transformer=transformer,
+        )
+
+        for provider in response:
+            provider.declaration.identity.name = f"{provider.plugin_id}/{provider.declaration.identity.name}"
+
+            # override the provider name for each tool to plugin_id/provider_name
+            for tool in provider.declaration.tools:
+                tool.identity.provider = provider.declaration.identity.name
+
+        return response
+
+    def fetch_tool_provider(self, tenant_id: str, provider: str) -> PluginToolProviderEntity:
+        """
+        Fetch tool provider for the given tenant and plugin.
+        """
+        tool_provider_id = GenericProviderID(provider)
+
+        def transformer(json_response: dict[str, Any]) -> dict:
+            data = json_response.get("data")
+            if data:
+                for tool in data.get("declaration", {}).get("tools", []):
+                    tool["identity"]["provider"] = tool_provider_id.provider_name
+
+            return json_response
+
+        response = self._request_with_plugin_daemon_response(
+            "GET",
+            f"plugin/{tenant_id}/management/tool",
+            PluginToolProviderEntity,
+            params={"provider": tool_provider_id.provider_name, "plugin_id": tool_provider_id.plugin_id},
+            transformer=transformer,
+        )
+
+        response.declaration.identity.name = f"{response.plugin_id}/{response.declaration.identity.name}"
+
+        # override the provider name for each tool to plugin_id/provider_name
+        for tool in response.declaration.tools:
+            tool.identity.provider = response.declaration.identity.name
+
+        return response
+
+    def invoke(
+        self,
+        tenant_id: str,
+        user_id: str,
+        tool_provider: str,
+        tool_name: str,
+        credentials: dict[str, Any],
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        """
+        Invoke the tool with the given tenant, user, plugin, provider, name, credentials and parameters.
+        """
+
+        tool_provider_id = GenericProviderID(tool_provider)
+
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/tool/invoke",
+            ToolInvokeMessage,
+            data={
+                "user_id": user_id,
+                "conversation_id": conversation_id,
+                "app_id": app_id,
+                "message_id": message_id,
+                "data": {
+                    "provider": tool_provider_id.provider_name,
+                    "tool": tool_name,
+                    "credentials": credentials,
+                    "tool_parameters": tool_parameters,
+                },
+            },
+            headers={
+                "X-Plugin-ID": tool_provider_id.plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+        return response
+
+    def validate_provider_credentials(
+        self, tenant_id: str, user_id: str, provider: str, credentials: dict[str, Any]
+    ) -> bool:
+        """
+        validate the credentials of the provider
+        """
+        tool_provider_id = GenericProviderID(provider)
+
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/tool/validate_credentials",
+            PluginBasicBooleanResponse,
+            data={
+                "user_id": user_id,
+                "data": {
+                    "provider": tool_provider_id.provider_name,
+                    "credentials": credentials,
+                },
+            },
+            headers={
+                "X-Plugin-ID": tool_provider_id.plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.result
+
+        return False
+
+    def get_runtime_parameters(
+        self,
+        tenant_id: str,
+        user_id: str,
+        provider: str,
+        credentials: dict[str, Any],
+        tool: str,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
+        """
+        get the runtime parameters of the tool
+        """
+        tool_provider_id = GenericProviderID(provider)
+
+        class RuntimeParametersResponse(BaseModel):
+            parameters: list[ToolParameter]
+
+        response = self._request_with_plugin_daemon_response_stream(
+            "POST",
+            f"plugin/{tenant_id}/dispatch/tool/get_runtime_parameters",
+            RuntimeParametersResponse,
+            data={
+                "user_id": user_id,
+                "conversation_id": conversation_id,
+                "app_id": app_id,
+                "message_id": message_id,
+                "data": {
+                    "provider": tool_provider_id.provider_name,
+                    "tool": tool,
+                    "credentials": credentials,
+                },
+            },
+            headers={
+                "X-Plugin-ID": tool_provider_id.plugin_id,
+                "Content-Type": "application/json",
+            },
+        )
+
+        for resp in response:
+            return resp.parameters
+
+        return []
diff --git a/api/core/plugin/utils/converter.py b/api/core/plugin/utils/converter.py
new file mode 100644
index 0000000000..6876285b31
--- /dev/null
+++ b/api/core/plugin/utils/converter.py
@@ -0,0 +1,21 @@
+from typing import Any
+
+from core.file.models import File
+from core.tools.entities.tool_entities import ToolSelector
+
+
+def convert_parameters_to_plugin_format(parameters: dict[str, Any]) -> dict[str, Any]:
+    for parameter_name, parameter in parameters.items():
+        if isinstance(parameter, File):
+            parameters[parameter_name] = parameter.to_plugin_parameter()
+        elif isinstance(parameter, list) and all(isinstance(p, File) for p in parameter):
+            parameters[parameter_name] = []
+            for p in parameter:
+                parameters[parameter_name].append(p.to_plugin_parameter())
+        elif isinstance(parameter, ToolSelector):
+            parameters[parameter_name] = parameter.to_plugin_parameter()
+        elif isinstance(parameter, list) and all(isinstance(p, ToolSelector) for p in parameter):
+            parameters[parameter_name] = []
+            for p in parameter:
+                parameters[parameter_name].append(p.to_plugin_parameter())
+    return parameters
diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py
index 479074e997..e3bc44cd9a 100644
--- a/api/core/provider_manager.py
+++ b/api/core/provider_manager.py
@@ -1,7 +1,7 @@
 import json
 from collections import defaultdict
 from json import JSONDecodeError
-from typing import Optional, cast
+from typing import Any, Optional, cast
 
 from sqlalchemy.exc import IntegrityError
 
@@ -14,6 +14,7 @@ from core.entities.provider_entities import (
     CustomProviderConfiguration,
     ModelLoadBalancingConfiguration,
     ModelSettings,
+    ProviderQuotaType,
     QuotaConfiguration,
     QuotaUnit,
     SystemConfiguration,
@@ -28,7 +29,8 @@ from core.model_runtime.entities.provider_entities import (
     FormType,
     ProviderEntity,
 )
-from core.model_runtime.model_providers import model_provider_factory
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.plugin.entities.plugin import ModelProviderID
 from extensions import ext_hosting_provider
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
@@ -37,7 +39,6 @@ from models.provider import (
     Provider,
     ProviderModel,
     ProviderModelSetting,
-    ProviderQuotaType,
     ProviderType,
     TenantDefaultModel,
     TenantPreferredModelProvider,
@@ -103,6 +104,7 @@ class ProviderManager:
         provider_name_to_provider_model_records_dict = self._get_all_provider_models(tenant_id)
 
         # Get all provider entities
+        model_provider_factory = ModelProviderFactory(tenant_id)
         provider_entities = model_provider_factory.get_providers()
 
         # Get All preferred provider types of the workspace
@@ -190,7 +192,7 @@ class ProviderManager:
                 model_settings=model_settings,
             )
 
-            provider_configurations[provider_name] = provider_configuration
+            provider_configurations[str(ModelProviderID(provider_name))] = provider_configuration
 
         # Return the encapsulated object
         return provider_configurations
@@ -210,12 +212,10 @@ class ProviderManager:
         if not provider_configuration:
             raise ValueError(f"Provider {provider} does not exist.")
 
-        provider_instance = provider_configuration.get_provider_instance()
-        model_type_instance = provider_instance.get_model_instance(model_type)
+        model_type_instance = provider_configuration.get_model_type_instance(model_type)
 
         return ProviderModelBundle(
             configuration=provider_configuration,
-            provider_instance=provider_instance,
             model_type_instance=model_type_instance,
         )
 
@@ -251,20 +251,19 @@ class ProviderManager:
                     (model for model in available_models if model.model == "gpt-4"), available_models[0]
                 )
 
-                default_model = TenantDefaultModel(
-                    tenant_id=tenant_id,
-                    model_type=model_type.to_origin_model_type(),
-                    provider_name=available_model.provider.provider,
-                    model_name=available_model.model,
-                )
+                default_model = TenantDefaultModel()
+                default_model.tenant_id = tenant_id
+                default_model.model_type = model_type.to_origin_model_type()
+                default_model.provider_name = available_model.provider.provider
+                default_model.model_name = available_model.model
                 db.session.add(default_model)
                 db.session.commit()
 
         if not default_model:
             return None
 
-        provider_instance = model_provider_factory.get_provider_instance(default_model.provider_name)
-        provider_schema = provider_instance.get_provider_schema()
+        model_provider_factory = ModelProviderFactory(tenant_id)
+        provider_schema = model_provider_factory.get_provider_schema(provider=default_model.provider_name)
 
         return DefaultModelEntity(
             model=default_model.model_name,
@@ -278,7 +277,7 @@ class ProviderManager:
             ),
         )
 
-    def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]:
+    def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) -> tuple[str | None, str | None]:
         """
         Get names of first model and its provider
 
@@ -291,6 +290,9 @@ class ProviderManager:
         # get available models from provider_configurations
         all_models = provider_configurations.get_models(model_type=model_type, only_active=False)
 
+        if not all_models:
+            return None, None
+
         return all_models[0].provider.provider, all_models[0].model
 
     def update_default_model_record(
@@ -737,11 +739,12 @@ class ProviderManager:
                 )
 
                 # Get cached provider credentials
+                # error occurs
                 cached_provider_credentials = provider_credentials_cache.get()
 
                 if not cached_provider_credentials:
                     try:
-                        provider_credentials = json.loads(provider_record.encrypted_config)
+                        provider_credentials: dict[str, Any] = json.loads(provider_record.encrypted_config)
                     except JSONDecodeError:
                         provider_credentials = {}
 
@@ -760,7 +763,9 @@ class ProviderManager:
                         if variable in provider_credentials:
                             try:
                                 provider_credentials[variable] = encrypter.decrypt_token_with_decoding(
-                                    provider_credentials.get(variable), self.decoding_rsa_key, self.decoding_cipher_rsa
+                                    provider_credentials.get(variable, ""),
+                                    self.decoding_rsa_key,
+                                    self.decoding_cipher_rsa,
                                 )
                             except ValueError:
                                 pass
diff --git a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
index 66fba763e7..f403337623 100644
--- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
+++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py
@@ -174,7 +174,7 @@ class LindormVectorStore(BaseVector):
             if self._using_ugc:
                 params["routing"] = self._routing
             response = self._client.search(index=self._collection_name, body=query, params=params)
-        except Exception as e:
+        except Exception:
             logger.exception(f"Error executing vector search, query: {query}")
             raise
 
@@ -347,7 +347,8 @@ def default_text_mapping(dimension: int, method_name: str, **kwargs: Any) -> dic
     }
 
     if excludes_from_source:
-        mapping["mappings"]["_source"] = {"excludes": excludes_from_source}  # e.g. {"excludes": ["vector_field"]}
+        # e.g. {"excludes": ["vector_field"]}
+        mapping["mappings"]["_source"] = {"excludes": excludes_from_source}
 
     if using_ugc and method_name == "ivfpq":
         mapping["settings"]["index"]["knn_routing"] = True
diff --git a/api/core/rag/docstore/dataset_docstore.py b/api/core/rag/docstore/dataset_docstore.py
index 8b95d81cc1..398b0daad9 100644
--- a/api/core/rag/docstore/dataset_docstore.py
+++ b/api/core/rag/docstore/dataset_docstore.py
@@ -79,7 +79,13 @@ class DatasetDocumentStore:
                 model=self._dataset.embedding_model,
             )
 
-        for doc in docs:
+        if embedding_model:
+            page_content_list = [doc.page_content for doc in docs]
+            tokens_list = embedding_model.get_text_embedding_num_tokens(page_content_list)
+        else:
+            tokens_list = [0] * len(docs)
+
+        for doc, tokens in zip(docs, tokens_list):
             if not isinstance(doc, Document):
                 raise ValueError("doc must be a Document")
 
@@ -94,12 +100,6 @@ class DatasetDocumentStore:
                     f"doc_id {doc.metadata['doc_id']} already exists. Set allow_update to True to overwrite."
                 )
 
-            # calc embedding use tokens
-            if embedding_model:
-                tokens = embedding_model.get_text_embedding_num_tokens(texts=[doc.page_content])
-            else:
-                tokens = 0
-
             if not segment_document:
                 max_position += 1
 
diff --git a/api/core/rag/embedding/cached_embedding.py b/api/core/rag/embedding/cached_embedding.py
index a2c8737da7..42fad111ce 100644
--- a/api/core/rag/embedding/cached_embedding.py
+++ b/api/core/rag/embedding/cached_embedding.py
@@ -74,7 +74,7 @@ class CacheEmbedding(Embeddings):
                             embedding_queue_embeddings.append(normalized_embedding)
                         except IntegrityError:
                             db.session.rollback()
-                        except Exception as e:
+                        except Exception:
                             logging.exception("Failed transform embedding")
                 cache_embeddings = []
                 try:
diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py
index d93de5fef9..0a6ffaa1dd 100644
--- a/api/core/rag/extractor/word_extractor.py
+++ b/api/core/rag/extractor/word_extractor.py
@@ -50,7 +50,7 @@ class WordExtractor(BaseExtractor):
 
             self.web_path = self.file_path
             # TODO: use a better way to handle the file
-            self.temp_file = tempfile.NamedTemporaryFile()  # noqa: SIM115
+            self.temp_file = tempfile.NamedTemporaryFile()  # noqa SIM115
             self.temp_file.write(r.content)
             self.file_path = self.temp_file.name
         elif not os.path.isfile(self.file_path):
@@ -234,7 +234,7 @@ class WordExtractor(BaseExtractor):
                                     continue
                                 for i in url_pattern.findall(x.text):
                                     hyperlinks_url = str(i)
-                    except Exception as e:
+                    except Exception:
                         logger.exception("Failed to parse HYPERLINK xml")
 
         def parse_paragraph(paragraph):
diff --git a/api/core/rag/index_processor/processor/parent_child_index_processor.py b/api/core/rag/index_processor/processor/parent_child_index_processor.py
index 3140122081..894b85339a 100644
--- a/api/core/rag/index_processor/processor/parent_child_index_processor.py
+++ b/api/core/rag/index_processor/processor/parent_child_index_processor.py
@@ -47,6 +47,8 @@ class ParentChildIndexProcessor(BaseIndexProcessor):
                 embedding_model_instance=kwargs.get("embedding_model_instance"),
             )
             for document in documents:
+                if kwargs.get("preview") and len(all_documents) >= 10:
+                    return all_documents
                 # document clean
                 document_text = CleanProcessor.clean(document.page_content, process_rule)
                 document.page_content = document_text
diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py
index e1d36aad1f..2193d8d3fd 100644
--- a/api/core/rag/retrieval/dataset_retrieval.py
+++ b/api/core/rag/retrieval/dataset_retrieval.py
@@ -26,9 +26,7 @@ from core.rag.rerank.rerank_type import RerankMode
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
 from core.rag.retrieval.router.multi_dataset_function_call_router import FunctionCallMultiDatasetRouter
 from core.rag.retrieval.router.multi_dataset_react_route import ReactMultiDatasetRouter
-from core.tools.tool.dataset_retriever.dataset_multi_retriever_tool import DatasetMultiRetrieverTool
-from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
-from core.tools.tool.dataset_retriever.dataset_retriever_tool import DatasetRetrieverTool
+from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 from extensions.ext_database import db
 from models.dataset import Dataset, DatasetQuery, DocumentSegment
 from models.dataset import Document as DatasetDocument
@@ -444,7 +442,7 @@ class DatasetRetrieval:
                 db.session.commit()
 
         # get tracing instance
-        trace_manager: Optional[TraceQueueManager] = (
+        trace_manager: TraceQueueManager | None = (
             self.application_generate_entity.trace_manager if self.application_generate_entity else None
         )
         if trace_manager:
@@ -588,6 +586,8 @@ class DatasetRetrieval:
                 if score_threshold_enabled:
                     score_threshold = retrieval_model_config.get("score_threshold")
 
+                from core.tools.utils.dataset_retriever.dataset_retriever_tool import DatasetRetrieverTool
+
                 tool = DatasetRetrieverTool.from_dataset(
                     dataset=dataset,
                     top_k=top_k,
@@ -599,20 +599,24 @@ class DatasetRetrieval:
 
                 tools.append(tool)
         elif retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE:
-            if retrieve_config.reranking_model is not None:
-                tool = DatasetMultiRetrieverTool.from_dataset(
-                    dataset_ids=[dataset.id for dataset in available_datasets],
-                    tenant_id=tenant_id,
-                    top_k=retrieve_config.top_k or 2,
-                    score_threshold=retrieve_config.score_threshold,
-                    hit_callbacks=[hit_callback],
-                    return_resource=return_resource,
-                    retriever_from=invoke_from.to_source(),
-                    reranking_provider_name=retrieve_config.reranking_model.get("reranking_provider_name"),
-                    reranking_model_name=retrieve_config.reranking_model.get("reranking_model_name"),
-                )
+            from core.tools.utils.dataset_retriever.dataset_multi_retriever_tool import DatasetMultiRetrieverTool
 
-                tools.append(tool)
+            if retrieve_config.reranking_model is None:
+                raise ValueError("Reranking model is required for multiple retrieval")
+
+            tool = DatasetMultiRetrieverTool.from_dataset(
+                dataset_ids=[dataset.id for dataset in available_datasets],
+                tenant_id=tenant_id,
+                top_k=retrieve_config.top_k or 2,
+                score_threshold=retrieve_config.score_threshold,
+                hit_callbacks=[hit_callback],
+                return_resource=return_resource,
+                retriever_from=invoke_from.to_source(),
+                reranking_provider_name=retrieve_config.reranking_model.get("reranking_provider_name"),
+                reranking_model_name=retrieve_config.reranking_model.get("reranking_model_name"),
+            )
+
+            tools.append(tool)
 
         return tools
 
diff --git a/api/core/rag/splitter/fixed_text_splitter.py b/api/core/rag/splitter/fixed_text_splitter.py
index 3376bd7f75..2d99cce513 100644
--- a/api/core/rag/splitter/fixed_text_splitter.py
+++ b/api/core/rag/splitter/fixed_text_splitter.py
@@ -30,14 +30,14 @@ class EnhanceRecursiveCharacterTextSplitter(RecursiveCharacterTextSplitter):
         disallowed_special: Union[Literal["all"], Collection[str]] = "all",  # noqa: UP037
         **kwargs: Any,
     ):
-        def _token_encoder(text: str) -> int:
-            if not text:
-                return 0
+        def _token_encoder(texts: list[str]) -> list[int]:
+            if not texts:
+                return []
 
             if embedding_model_instance:
-                return embedding_model_instance.get_text_embedding_num_tokens(texts=[text])
+                return embedding_model_instance.get_text_embedding_num_tokens(texts=texts)
             else:
-                return GPT2Tokenizer.get_num_tokens(text)
+                return [GPT2Tokenizer.get_num_tokens(text) for text in texts]
 
         if issubclass(cls, TokenTextSplitter):
             extra_kwargs = {
@@ -65,8 +65,9 @@ class FixedRecursiveCharacterTextSplitter(EnhanceRecursiveCharacterTextSplitter)
             chunks = [text]
 
         final_chunks = []
-        for chunk in chunks:
-            if self._length_function(chunk) > self._chunk_size:
+        chunks_lengths = self._length_function(chunks)
+        for chunk, chunk_length in zip(chunks, chunks_lengths):
+            if chunk_length > self._chunk_size:
                 final_chunks.extend(self.recursive_split_text(chunk))
             else:
                 final_chunks.append(chunk)
@@ -93,8 +94,8 @@ class FixedRecursiveCharacterTextSplitter(EnhanceRecursiveCharacterTextSplitter)
         # Now go merging things, recursively splitting longer texts.
         _good_splits = []
         _good_splits_lengths = []  # cache the lengths of the splits
-        for s in splits:
-            s_len = self._length_function(s)
+        s_lens = self._length_function(splits)
+        for s, s_len in zip(splits, s_lens):
             if s_len < self._chunk_size:
                 _good_splits.append(s)
                 _good_splits_lengths.append(s_len)
diff --git a/api/core/rag/splitter/text_splitter.py b/api/core/rag/splitter/text_splitter.py
index 4bfa541fd4..34b4056cf5 100644
--- a/api/core/rag/splitter/text_splitter.py
+++ b/api/core/rag/splitter/text_splitter.py
@@ -45,7 +45,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
         self,
         chunk_size: int = 4000,
         chunk_overlap: int = 200,
-        length_function: Callable[[str], int] = len,
+        length_function: Callable[[list[str]], list[int]] = lambda x: [len(x) for x in x],
         keep_separator: bool = False,
         add_start_index: bool = False,
     ) -> None:
@@ -106,7 +106,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
     def _merge_splits(self, splits: Iterable[str], separator: str, lengths: list[int]) -> list[str]:
         # We now want to combine these smaller pieces into medium size
         # chunks to send to the LLM.
-        separator_len = self._length_function(separator)
+        separator_len = self._length_function([separator])[0]
 
         docs = []
         current_doc: list[str] = []
@@ -129,7 +129,9 @@ class TextSplitter(BaseDocumentTransformer, ABC):
                     while total > self._chunk_overlap or (
                         total + _len + (separator_len if len(current_doc) > 0 else 0) > self._chunk_size and total > 0
                     ):
-                        total -= self._length_function(current_doc[0]) + (separator_len if len(current_doc) > 1 else 0)
+                        total -= self._length_function([current_doc[0]])[0] + (
+                            separator_len if len(current_doc) > 1 else 0
+                        )
                         current_doc = current_doc[1:]
             current_doc.append(d)
             total += _len + (separator_len if len(current_doc) > 1 else 0)
@@ -155,7 +157,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
             raise ValueError(
                 "Could not import transformers python package. Please install it with `pip install transformers`."
             )
-        return cls(length_function=_huggingface_tokenizer_length, **kwargs)
+        return cls(length_function=lambda x: [_huggingface_tokenizer_length(text) for text in x], **kwargs)
 
     @classmethod
     def from_tiktoken_encoder(
@@ -199,7 +201,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
             }
             kwargs = {**kwargs, **extra_kwargs}
 
-        return cls(length_function=_tiktoken_encoder, **kwargs)
+        return cls(length_function=lambda x: [_tiktoken_encoder(text) for text in x], **kwargs)
 
     def transform_documents(self, documents: Sequence[Document], **kwargs: Any) -> Sequence[Document]:
         """Transform sequence of documents by splitting them."""
@@ -224,8 +226,8 @@ class CharacterTextSplitter(TextSplitter):
         splits = _split_text_with_regex(text, self._separator, self._keep_separator)
         _separator = "" if self._keep_separator else self._separator
         _good_splits_lengths = []  # cache the lengths of the splits
-        for split in splits:
-            _good_splits_lengths.append(self._length_function(split))
+        if splits:
+            _good_splits_lengths.extend(self._length_function(splits))
         return self._merge_splits(splits, _separator, _good_splits_lengths)
 
 
@@ -478,9 +480,8 @@ class RecursiveCharacterTextSplitter(TextSplitter):
         _good_splits = []
         _good_splits_lengths = []  # cache the lengths of the splits
         _separator = "" if self._keep_separator else separator
-
-        for s in splits:
-            s_len = self._length_function(s)
+        s_lens = self._length_function(splits)
+        for s, s_len in zip(splits, s_lens):
             if s_len < self._chunk_size:
                 _good_splits.append(s)
                 _good_splits_lengths.append(s_len)
diff --git a/api/core/tools/__base/tool.py b/api/core/tools/__base/tool.py
new file mode 100644
index 0000000000..63937f5f76
--- /dev/null
+++ b/api/core/tools/__base/tool.py
@@ -0,0 +1,223 @@
+from abc import ABC, abstractmethod
+from collections.abc import Generator
+from copy import deepcopy
+from typing import TYPE_CHECKING, Any, Optional
+
+if TYPE_CHECKING:
+    from models.model import File
+
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.entities.tool_entities import (
+    ToolEntity,
+    ToolInvokeMessage,
+    ToolParameter,
+    ToolProviderType,
+)
+
+
+class Tool(ABC):
+    """
+    The base class of a tool
+    """
+
+    entity: ToolEntity
+    runtime: ToolRuntime
+
+    def __init__(self, entity: ToolEntity, runtime: ToolRuntime) -> None:
+        self.entity = entity
+        self.runtime = runtime
+
+    def fork_tool_runtime(self, runtime: ToolRuntime) -> "Tool":
+        """
+        fork a new tool with meta data
+
+        :param meta: the meta data of a tool call processing, tenant_id is required
+        :return: the new tool
+        """
+        return self.__class__(
+            entity=self.entity.model_copy(),
+            runtime=runtime,
+        )
+
+    @abstractmethod
+    def tool_provider_type(self) -> ToolProviderType:
+        """
+        get the tool provider type
+
+        :return: the tool provider type
+        """
+
+    def invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage]:
+        if self.runtime and self.runtime.runtime_parameters:
+            tool_parameters.update(self.runtime.runtime_parameters)
+
+        # try parse tool parameters into the correct type
+        tool_parameters = self._transform_tool_parameters_type(tool_parameters)
+
+        result = self._invoke(
+            user_id=user_id,
+            tool_parameters=tool_parameters,
+            conversation_id=conversation_id,
+            app_id=app_id,
+            message_id=message_id,
+        )
+
+        if isinstance(result, ToolInvokeMessage):
+
+            def single_generator() -> Generator[ToolInvokeMessage, None, None]:
+                yield result
+
+            return single_generator()
+        elif isinstance(result, list):
+
+            def generator() -> Generator[ToolInvokeMessage, None, None]:
+                yield from result
+
+            return generator()
+        else:
+            return result
+
+    def _transform_tool_parameters_type(self, tool_parameters: dict[str, Any]) -> dict[str, Any]:
+        """
+        Transform tool parameters type
+        """
+        # Temp fix for the issue that the tool parameters will be converted to empty while validating the credentials
+        result = deepcopy(tool_parameters)
+        for parameter in self.entity.parameters or []:
+            if parameter.name in tool_parameters:
+                result[parameter.name] = parameter.type.cast_value(tool_parameters[parameter.name])
+
+        return result
+
+    @abstractmethod
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> ToolInvokeMessage | list[ToolInvokeMessage] | Generator[ToolInvokeMessage, None, None]:
+        pass
+
+    def get_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
+        """
+        get the runtime parameters
+
+        interface for developer to dynamic change the parameters of a tool depends on the variables pool
+
+        :return: the runtime parameters
+        """
+        return self.entity.parameters
+
+    def get_merged_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
+        """
+        get merged runtime parameters
+
+        :return: merged runtime parameters
+        """
+        parameters = self.entity.parameters
+        parameters = parameters.copy()
+        user_parameters = self.get_runtime_parameters() or []
+        user_parameters = user_parameters.copy()
+
+        # override parameters
+        for parameter in user_parameters:
+            # check if parameter in tool parameters
+            for tool_parameter in parameters:
+                if tool_parameter.name == parameter.name:
+                    # override parameter
+                    tool_parameter.type = parameter.type
+                    tool_parameter.form = parameter.form
+                    tool_parameter.required = parameter.required
+                    tool_parameter.default = parameter.default
+                    tool_parameter.options = parameter.options
+                    tool_parameter.llm_description = parameter.llm_description
+                    break
+            else:
+                # add new parameter
+                parameters.append(parameter)
+
+        return parameters
+
+    def create_image_message(
+        self,
+        image: str,
+    ) -> ToolInvokeMessage:
+        """
+        create an image message
+
+        :param image: the url of the image
+        :return: the image message
+        """
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.IMAGE, message=ToolInvokeMessage.TextMessage(text=image)
+        )
+
+    def create_file_message(self, file: "File") -> ToolInvokeMessage:
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.FILE,
+            message=ToolInvokeMessage.FileMessage(),
+            meta={"file": file},
+        )
+
+    def create_link_message(self, link: str) -> ToolInvokeMessage:
+        """
+        create a link message
+
+        :param link: the url of the link
+        :return: the link message
+        """
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.LINK, message=ToolInvokeMessage.TextMessage(text=link)
+        )
+
+    def create_text_message(self, text: str) -> ToolInvokeMessage:
+        """
+        create a text message
+
+        :param text: the text
+        :return: the text message
+        """
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.TEXT,
+            message=ToolInvokeMessage.TextMessage(text=text),
+        )
+
+    def create_blob_message(self, blob: bytes, meta: Optional[dict] = None) -> ToolInvokeMessage:
+        """
+        create a blob message
+
+        :param blob: the blob
+        :return: the blob message
+        """
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.BLOB,
+            message=ToolInvokeMessage.BlobMessage(blob=blob),
+            meta=meta,
+        )
+
+    def create_json_message(self, object: dict) -> ToolInvokeMessage:
+        """
+        create a json message
+        """
+        return ToolInvokeMessage(
+            type=ToolInvokeMessage.MessageType.JSON, message=ToolInvokeMessage.JsonMessage(json_object=object)
+        )
diff --git a/api/core/tools/__base/tool_provider.py b/api/core/tools/__base/tool_provider.py
new file mode 100644
index 0000000000..d096fc7df7
--- /dev/null
+++ b/api/core/tools/__base/tool_provider.py
@@ -0,0 +1,109 @@
+from abc import ABC, abstractmethod
+from copy import deepcopy
+from typing import Any
+
+from core.entities.provider_entities import ProviderConfig
+from core.tools.__base.tool import Tool
+from core.tools.entities.tool_entities import (
+    ToolProviderEntity,
+    ToolProviderType,
+)
+from core.tools.errors import ToolProviderCredentialValidationError
+
+
+class ToolProviderController(ABC):
+    entity: ToolProviderEntity
+
+    def __init__(self, entity: ToolProviderEntity) -> None:
+        self.entity = entity
+
+    def get_credentials_schema(self) -> list[ProviderConfig]:
+        """
+        returns the credentials schema of the provider
+
+        :return: the credentials schema
+        """
+        return deepcopy(self.entity.credentials_schema)
+
+    @abstractmethod
+    def get_tool(self, tool_name: str) -> Tool:
+        """
+        returns a tool that the provider can provide
+
+        :return: tool
+        """
+        pass
+
+    @property
+    def provider_type(self) -> ToolProviderType:
+        """
+        returns the type of the provider
+
+        :return: type of the provider
+        """
+        return ToolProviderType.BUILT_IN
+
+    def validate_credentials_format(self, credentials: dict[str, Any]) -> None:
+        """
+        validate the format of the credentials of the provider and set the default value if needed
+
+        :param credentials: the credentials of the tool
+        """
+        credentials_schema = dict[str, ProviderConfig]()
+        if credentials_schema is None:
+            return
+
+        for credential in self.entity.credentials_schema:
+            credentials_schema[credential.name] = credential
+
+        credentials_need_to_validate: dict[str, ProviderConfig] = {}
+        for credential_name in credentials_schema:
+            credentials_need_to_validate[credential_name] = credentials_schema[credential_name]
+
+        for credential_name in credentials:
+            if credential_name not in credentials_need_to_validate:
+                raise ToolProviderCredentialValidationError(
+                    f"credential {credential_name} not found in provider {self.entity.identity.name}"
+                )
+
+            # check type
+            credential_schema = credentials_need_to_validate[credential_name]
+            if not credential_schema.required and credentials[credential_name] is None:
+                continue
+
+            if credential_schema.type in {ProviderConfig.Type.SECRET_INPUT, ProviderConfig.Type.TEXT_INPUT}:
+                if not isinstance(credentials[credential_name], str):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
+
+            elif credential_schema.type == ProviderConfig.Type.SELECT:
+                if not isinstance(credentials[credential_name], str):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
+
+                options = credential_schema.options
+                if not isinstance(options, list):
+                    raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list")
+
+                if credentials[credential_name] not in [x.value for x in options]:
+                    raise ToolProviderCredentialValidationError(
+                        f"credential {credential_name} should be one of {options}"
+                    )
+
+            credentials_need_to_validate.pop(credential_name)
+
+        for credential_name in credentials_need_to_validate:
+            credential_schema = credentials_need_to_validate[credential_name]
+            if credential_schema.required:
+                raise ToolProviderCredentialValidationError(f"credential {credential_name} is required")
+
+            # the credential is not set currently, set the default value if needed
+            if credential_schema.default is not None:
+                default_value = credential_schema.default
+                # parse default value into the correct type
+                if credential_schema.type in {
+                    ProviderConfig.Type.SECRET_INPUT,
+                    ProviderConfig.Type.TEXT_INPUT,
+                    ProviderConfig.Type.SELECT,
+                }:
+                    default_value = str(default_value)
+
+                credentials[credential_name] = default_value
diff --git a/api/core/tools/__base/tool_runtime.py b/api/core/tools/__base/tool_runtime.py
new file mode 100644
index 0000000000..c9e157cb77
--- /dev/null
+++ b/api/core/tools/__base/tool_runtime.py
@@ -0,0 +1,36 @@
+from typing import Any, Optional
+
+from openai import BaseModel
+from pydantic import Field
+
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.tools.entities.tool_entities import ToolInvokeFrom
+
+
+class ToolRuntime(BaseModel):
+    """
+    Meta data of a tool call processing
+    """
+
+    tenant_id: str
+    tool_id: Optional[str] = None
+    invoke_from: Optional[InvokeFrom] = None
+    tool_invoke_from: Optional[ToolInvokeFrom] = None
+    credentials: dict[str, Any] = Field(default_factory=dict)
+    runtime_parameters: dict[str, Any] = Field(default_factory=dict)
+
+
+class FakeToolRuntime(ToolRuntime):
+    """
+    Fake tool runtime for testing
+    """
+
+    def __init__(self):
+        super().__init__(
+            tenant_id="fake_tenant_id",
+            tool_id="fake_tool_id",
+            invoke_from=InvokeFrom.DEBUGGER,
+            tool_invoke_from=ToolInvokeFrom.AGENT,
+            credentials={},
+            runtime_parameters={},
+        )
diff --git a/api/core/tools/builtin_tool/_position.yaml b/api/core/tools/builtin_tool/_position.yaml
new file mode 100644
index 0000000000..b5875e2075
--- /dev/null
+++ b/api/core/tools/builtin_tool/_position.yaml
@@ -0,0 +1,3 @@
+- code
+- time
+- qrcode
diff --git a/api/core/tools/builtin_tool/provider.py b/api/core/tools/builtin_tool/provider.py
new file mode 100644
index 0000000000..e776258527
--- /dev/null
+++ b/api/core/tools/builtin_tool/provider.py
@@ -0,0 +1,173 @@
+from abc import abstractmethod
+from os import listdir, path
+from typing import Any
+
+from core.entities.provider_entities import ProviderConfig
+from core.helper.module_import_helper import load_single_subclass_from_source
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.builtin_tool.tool import BuiltinTool
+from core.tools.entities.tool_entities import ToolEntity, ToolProviderEntity, ToolProviderType
+from core.tools.entities.values import ToolLabelEnum, default_tool_label_dict
+from core.tools.errors import (
+    ToolProviderNotFoundError,
+)
+from core.tools.utils.yaml_utils import load_yaml_file
+
+
+class BuiltinToolProviderController(ToolProviderController):
+    tools: list[BuiltinTool]
+
+    def __init__(self, **data: Any) -> None:
+        self.tools = []
+
+        # load provider yaml
+        provider = self.__class__.__module__.split(".")[-1]
+        yaml_path = path.join(path.dirname(path.realpath(__file__)), "providers", provider, f"{provider}.yaml")
+        try:
+            provider_yaml = load_yaml_file(yaml_path, ignore_error=False)
+        except Exception as e:
+            raise ToolProviderNotFoundError(f"can not load provider yaml for {provider}: {e}")
+
+        if "credentials_for_provider" in provider_yaml and provider_yaml["credentials_for_provider"] is not None:
+            # set credentials name
+            for credential_name in provider_yaml["credentials_for_provider"]:
+                provider_yaml["credentials_for_provider"][credential_name]["name"] = credential_name
+
+        credentials_schema = []
+        for credential in provider_yaml.get("credentials_for_provider", {}):
+            credentials_schema.append(credential)
+
+        super().__init__(
+            entity=ToolProviderEntity(
+                identity=provider_yaml["identity"],
+                credentials_schema=credentials_schema,
+            ),
+        )
+
+        self._load_tools()
+
+    def _load_tools(self):
+        provider = self.entity.identity.name
+        tool_path = path.join(path.dirname(path.realpath(__file__)), "providers", provider, "tools")
+        # get all the yaml files in the tool path
+        tool_files = list(filter(lambda x: x.endswith(".yaml") and not x.startswith("__"), listdir(tool_path)))
+        tools = []
+        for tool_file in tool_files:
+            # get tool name
+            tool_name = tool_file.split(".")[0]
+            tool = load_yaml_file(path.join(tool_path, tool_file), ignore_error=False)
+
+            # get tool class, import the module
+            assistant_tool_class: type[BuiltinTool] = load_single_subclass_from_source(
+                module_name=f"core.tools.builtin_tool.providers.{provider}.tools.{tool_name}",
+                script_path=path.join(
+                    path.dirname(path.realpath(__file__)),
+                    "builtin_tool",
+                    "providers",
+                    provider,
+                    "tools",
+                    f"{tool_name}.py",
+                ),
+                parent_type=BuiltinTool,
+            )
+            tool["identity"]["provider"] = provider
+            tools.append(
+                assistant_tool_class(
+                    provider=provider,
+                    entity=ToolEntity(**tool),
+                    runtime=ToolRuntime(tenant_id=""),
+                )
+            )
+
+        self.tools = tools
+
+    def _get_builtin_tools(self) -> list[BuiltinTool]:
+        """
+        returns a list of tools that the provider can provide
+
+        :return: list of tools
+        """
+        return self.tools
+
+    def get_credentials_schema(self) -> list[ProviderConfig]:
+        """
+        returns the credentials schema of the provider
+
+        :return: the credentials schema
+        """
+        if not self.entity.credentials_schema:
+            return []
+
+        return self.entity.credentials_schema.copy()
+
+    def get_tools(self) -> list[BuiltinTool]:
+        """
+        returns a list of tools that the provider can provide
+
+        :return: list of tools
+        """
+        return self._get_builtin_tools()
+
+    def get_tool(self, tool_name: str) -> BuiltinTool | None:  # type: ignore
+        """
+        returns the tool that the provider can provide
+        """
+        return next(filter(lambda x: x.entity.identity.name == tool_name, self.get_tools()), None)  # type: ignore
+
+    @property
+    def need_credentials(self) -> bool:
+        """
+        returns whether the provider needs credentials
+
+        :return: whether the provider needs credentials
+        """
+        return self.entity.credentials_schema is not None and len(self.entity.credentials_schema) != 0
+
+    @property
+    def provider_type(self) -> ToolProviderType:
+        """
+        returns the type of the provider
+
+        :return: type of the provider
+        """
+        return ToolProviderType.BUILT_IN
+
+    @property
+    def tool_labels(self) -> list[str]:
+        """
+        returns the labels of the provider
+
+        :return: labels of the provider
+        """
+        label_enums = self._get_tool_labels()
+        return [default_tool_label_dict[label].name for label in label_enums]
+
+    def _get_tool_labels(self) -> list[ToolLabelEnum]:
+        """
+        returns the labels of the provider
+        """
+        return self.entity.identity.tags or []
+
+    def validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        validate the credentials of the provider
+
+        :param tool_name: the name of the tool, defined in `get_tools`
+        :param credentials: the credentials of the tool
+        """
+        # validate credentials format
+        self.validate_credentials_format(credentials)
+
+        # validate credentials
+        self._validate_credentials(user_id, credentials)
+
+    @abstractmethod
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        validate the credentials of the provider
+
+        :param tool_name: the name of the tool, defined in `get_tools`
+        :param credentials: the credentials of the tool
+        """
+        pass
diff --git a/api/core/model_runtime/model_providers/anthropic/llm/__init__.py b/api/core/tools/builtin_tool/providers/__init__.py
similarity index 100%
rename from api/core/model_runtime/model_providers/anthropic/llm/__init__.py
rename to api/core/tools/builtin_tool/providers/__init__.py
diff --git a/api/core/tools/provider/builtin/_positions.py b/api/core/tools/builtin_tool/providers/_positions.py
similarity index 67%
rename from api/core/tools/provider/builtin/_positions.py
rename to api/core/tools/builtin_tool/providers/_positions.py
index 99a062f8c3..44a90db038 100644
--- a/api/core/tools/provider/builtin/_positions.py
+++ b/api/core/tools/builtin_tool/providers/_positions.py
@@ -1,18 +1,18 @@
 import os.path
 
 from core.helper.position_helper import get_tool_position_map, sort_by_position_map
-from core.tools.entities.api_entities import UserToolProvider
+from core.tools.entities.api_entities import ToolProviderApiEntity
 
 
 class BuiltinToolProviderSort:
     _position: dict[str, int] = {}
 
     @classmethod
-    def sort(cls, providers: list[UserToolProvider]) -> list[UserToolProvider]:
+    def sort(cls, providers: list[ToolProviderApiEntity]) -> list[ToolProviderApiEntity]:
         if not cls._position:
             cls._position = get_tool_position_map(os.path.join(os.path.dirname(__file__), ".."))
 
-        def name_func(provider: UserToolProvider) -> str:
+        def name_func(provider: ToolProviderApiEntity) -> str:
             return provider.name
 
         sorted_providers = sort_by_position_map(cls._position, providers, name_func)
diff --git a/api/core/tools/provider/builtin/audio/_assets/icon.svg b/api/core/tools/builtin_tool/providers/audio/_assets/icon.svg
similarity index 100%
rename from api/core/tools/provider/builtin/audio/_assets/icon.svg
rename to api/core/tools/builtin_tool/providers/audio/_assets/icon.svg
diff --git a/api/core/tools/builtin_tool/providers/audio/audio.py b/api/core/tools/builtin_tool/providers/audio/audio.py
new file mode 100644
index 0000000000..d7d71161f1
--- /dev/null
+++ b/api/core/tools/builtin_tool/providers/audio/audio.py
@@ -0,0 +1,8 @@
+from typing import Any
+
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+
+
+class AudioToolProvider(BuiltinToolProviderController):
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        pass
diff --git a/api/core/tools/provider/builtin/audio/audio.yaml b/api/core/tools/builtin_tool/providers/audio/audio.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/audio/audio.yaml
rename to api/core/tools/builtin_tool/providers/audio/audio.yaml
diff --git a/api/core/tools/provider/builtin/audio/tools/asr.py b/api/core/tools/builtin_tool/providers/audio/tools/asr.py
similarity index 67%
rename from api/core/tools/provider/builtin/audio/tools/asr.py
rename to api/core/tools/builtin_tool/providers/audio/tools/asr.py
index 2aa409cd1a..5c24920871 100644
--- a/api/core/tools/provider/builtin/audio/tools/asr.py
+++ b/api/core/tools/builtin_tool/providers/audio/tools/asr.py
@@ -1,24 +1,34 @@
 import io
-from typing import Any
+from collections.abc import Generator
+from typing import Any, Optional
 
 from core.file.enums import FileType
 from core.file.file_manager import download
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.entities.parameters import PluginParameterOption
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption
-from core.tools.tool.builtin_tool import BuiltinTool
+from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
 from services.model_provider_service import ModelProviderService
 
 
 class ASRTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         file = tool_parameters.get("audio_file")
-        if file.type != FileType.AUDIO:
-            return [self.create_text_message("not a valid audio file")]
-        audio_binary = io.BytesIO(download(file))
+        if file.type != FileType.AUDIO:  # type: ignore
+            yield self.create_text_message("not a valid audio file")
+            return
+        audio_binary = io.BytesIO(download(file))  # type: ignore
         audio_binary.name = "temp.mp3"
-        provider, model = tool_parameters.get("model").split("#")
+        provider, model = tool_parameters.get("model").split("#")  # type: ignore
         model_manager = ModelManager()
         model_instance = model_manager.get_model_instance(
             tenant_id=self.runtime.tenant_id,
@@ -30,7 +40,7 @@ class ASRTool(BuiltinTool):
             file=audio_binary,
             user=user_id,
         )
-        return [self.create_text_message(text)]
+        yield self.create_text_message(text)
 
     def get_available_models(self) -> list[tuple[str, str]]:
         model_provider_service = ModelProviderService()
@@ -44,12 +54,17 @@ class ASRTool(BuiltinTool):
                 items.append((provider, model.model))
         return items
 
-    def get_runtime_parameters(self) -> list[ToolParameter]:
+    def get_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
         parameters = []
 
         options = []
         for provider, model in self.get_available_models():
-            option = ToolParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})"))
+            option = PluginParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})"))
             options.append(option)
 
         parameters.append(
diff --git a/api/core/tools/provider/builtin/audio/tools/asr.yaml b/api/core/tools/builtin_tool/providers/audio/tools/asr.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/audio/tools/asr.yaml
rename to api/core/tools/builtin_tool/providers/audio/tools/asr.yaml
diff --git a/api/core/tools/provider/builtin/audio/tools/tts.py b/api/core/tools/builtin_tool/providers/audio/tools/tts.py
similarity index 68%
rename from api/core/tools/provider/builtin/audio/tools/tts.py
rename to api/core/tools/builtin_tool/providers/audio/tools/tts.py
index 8a33ac405b..9b104b00f5 100644
--- a/api/core/tools/provider/builtin/audio/tools/tts.py
+++ b/api/core/tools/builtin_tool/providers/audio/tools/tts.py
@@ -1,18 +1,27 @@
 import io
-from typing import Any
+from collections.abc import Generator
+from typing import Any, Optional
 
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
+from core.plugin.entities.parameters import PluginParameterOption
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption
-from core.tools.tool.builtin_tool import BuiltinTool
+from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
 from services.model_provider_service import ModelProviderService
 
 
 class TTSTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
-        provider, model = tool_parameters.get("model", "").split("#")
-        voice = tool_parameters.get(f"voice#{provider}#{model}", "")
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        provider, model = tool_parameters.get("model").split("#")  # type: ignore
+        voice = tool_parameters.get(f"voice#{provider}#{model}")
         model_manager = ModelManager()
         if not self.runtime:
             raise ValueError("Runtime is required")
@@ -23,24 +32,21 @@ class TTSTool(BuiltinTool):
             model=model,
         )
         tts = model_instance.invoke_tts(
-            content_text=tool_parameters.get("text", ""),
+            content_text=tool_parameters.get("text"),  # type: ignore
             user=user_id,
-            tenant_id=self.runtime.tenant_id or "",
-            voice=voice,
+            tenant_id=self.runtime.tenant_id,
+            voice=voice,  # type: ignore
         )
         buffer = io.BytesIO()
         for chunk in tts:
             buffer.write(chunk)
 
         wav_bytes = buffer.getvalue()
-        return [
-            self.create_text_message("Audio generated successfully"),
-            self.create_blob_message(
-                blob=wav_bytes,
-                meta={"mime_type": "audio/x-wav"},
-                save_as=self.VariableKey.AUDIO,
-            ),
-        ]
+        yield self.create_text_message("Audio generated successfully")
+        yield self.create_blob_message(
+            blob=wav_bytes,
+            meta={"mime_type": "audio/x-wav"},
+        )
 
     def get_available_models(self) -> list[tuple[str, str, list[Any]]]:
         if not self.runtime:
@@ -56,12 +62,17 @@ class TTSTool(BuiltinTool):
                 items.append((provider, model.model, voices))
         return items
 
-    def get_runtime_parameters(self) -> list[ToolParameter]:
+    def get_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
         parameters = []
 
         options = []
         for provider, model, voices in self.get_available_models():
-            option = ToolParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})"))
+            option = PluginParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})"))
             options.append(option)
             parameters.append(
                 ToolParameter(
@@ -72,7 +83,7 @@ class TTSTool(BuiltinTool):
                     type=ToolParameter.ToolParameterType.SELECT,
                     form=ToolParameter.ToolParameterForm.FORM,
                     options=[
-                        ToolParameterOption(value=voice.get("mode"), label=I18nObject(en_US=voice.get("name")))
+                        PluginParameterOption(value=voice.get("mode"), label=I18nObject(en_US=voice.get("name")))
                         for voice in voices
                     ],
                 )
diff --git a/api/core/tools/provider/builtin/audio/tools/tts.yaml b/api/core/tools/builtin_tool/providers/audio/tools/tts.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/audio/tools/tts.yaml
rename to api/core/tools/builtin_tool/providers/audio/tools/tts.yaml
diff --git a/api/core/tools/provider/builtin/code/_assets/icon.svg b/api/core/tools/builtin_tool/providers/code/_assets/icon.svg
similarity index 100%
rename from api/core/tools/provider/builtin/code/_assets/icon.svg
rename to api/core/tools/builtin_tool/providers/code/_assets/icon.svg
diff --git a/api/core/tools/builtin_tool/providers/code/code.py b/api/core/tools/builtin_tool/providers/code/code.py
new file mode 100644
index 0000000000..18b7cd4c90
--- /dev/null
+++ b/api/core/tools/builtin_tool/providers/code/code.py
@@ -0,0 +1,8 @@
+from typing import Any
+
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+
+
+class CodeToolProvider(BuiltinToolProviderController):
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        pass
diff --git a/api/core/tools/provider/builtin/code/code.yaml b/api/core/tools/builtin_tool/providers/code/code.yaml
similarity index 93%
rename from api/core/tools/provider/builtin/code/code.yaml
rename to api/core/tools/builtin_tool/providers/code/code.yaml
index 2640a7087e..81ab6d4b45 100644
--- a/api/core/tools/provider/builtin/code/code.yaml
+++ b/api/core/tools/builtin_tool/providers/code/code.yaml
@@ -12,4 +12,3 @@ identity:
   icon: icon.svg
   tags:
     - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/code/tools/simple_code.py b/api/core/tools/builtin_tool/providers/code/tools/simple_code.py
similarity index 56%
rename from api/core/tools/provider/builtin/code/tools/simple_code.py
rename to api/core/tools/builtin_tool/providers/code/tools/simple_code.py
index 632c9fc7f1..ab0e155b98 100644
--- a/api/core/tools/provider/builtin/code/tools/simple_code.py
+++ b/api/core/tools/builtin_tool/providers/code/tools/simple_code.py
@@ -1,12 +1,20 @@
-from typing import Any
+from collections.abc import Generator
+from typing import Any, Optional
 
 from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
 
 
 class SimpleCode(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         invoke simple code
         """
@@ -19,4 +27,4 @@ class SimpleCode(BuiltinTool):
 
         result = CodeExecutor.execute_code(language, "", code)
 
-        return self.create_text_message(result)
+        yield self.create_text_message(result)
diff --git a/api/core/tools/provider/builtin/code/tools/simple_code.yaml b/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/code/tools/simple_code.yaml
rename to api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml
diff --git a/api/core/tools/provider/builtin/time/_assets/icon.svg b/api/core/tools/builtin_tool/providers/time/_assets/icon.svg
similarity index 100%
rename from api/core/tools/provider/builtin/time/_assets/icon.svg
rename to api/core/tools/builtin_tool/providers/time/_assets/icon.svg
diff --git a/api/core/tools/builtin_tool/providers/time/time.py b/api/core/tools/builtin_tool/providers/time/time.py
new file mode 100644
index 0000000000..323a7c41b8
--- /dev/null
+++ b/api/core/tools/builtin_tool/providers/time/time.py
@@ -0,0 +1,8 @@
+from typing import Any
+
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+
+
+class WikiPediaProvider(BuiltinToolProviderController):
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        pass
diff --git a/api/core/tools/provider/builtin/time/time.yaml b/api/core/tools/builtin_tool/providers/time/time.yaml
similarity index 92%
rename from api/core/tools/provider/builtin/time/time.yaml
rename to api/core/tools/builtin_tool/providers/time/time.yaml
index 1278939df5..77bdc0f87a 100644
--- a/api/core/tools/provider/builtin/time/time.yaml
+++ b/api/core/tools/builtin_tool/providers/time/time.yaml
@@ -12,4 +12,3 @@ identity:
   icon: icon.svg
   tags:
     - utilities
-credentials_for_provider:
diff --git a/api/core/tools/builtin_tool/providers/time/tools/current_time.py b/api/core/tools/builtin_tool/providers/time/tools/current_time.py
new file mode 100644
index 0000000000..d054afac96
--- /dev/null
+++ b/api/core/tools/builtin_tool/providers/time/tools/current_time.py
@@ -0,0 +1,35 @@
+from collections.abc import Generator
+from datetime import UTC, datetime
+from typing import Any, Optional
+
+from pytz import timezone as pytz_timezone
+
+from core.tools.builtin_tool.tool import BuiltinTool
+from core.tools.entities.tool_entities import ToolInvokeMessage
+
+
+class CurrentTimeTool(BuiltinTool):
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        """
+        invoke tools
+        """
+        # get timezone
+        tz = tool_parameters.get("timezone", "UTC")
+        fm = tool_parameters.get("format") or "%Y-%m-%d %H:%M:%S %Z"
+        if tz == "UTC":
+            yield self.create_text_message(f"{datetime.now(UTC).strftime(fm)}")
+            return
+
+        try:
+            tz = pytz_timezone(tz)
+        except Exception:
+            yield self.create_text_message(f"Invalid timezone: {tz}")
+            return
+        yield self.create_text_message(f"{datetime.now(tz).strftime(fm)}")
diff --git a/api/core/tools/provider/builtin/time/tools/current_time.yaml b/api/core/tools/builtin_tool/providers/time/tools/current_time.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/time/tools/current_time.yaml
rename to api/core/tools/builtin_tool/providers/time/tools/current_time.yaml
diff --git a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py
similarity index 64%
rename from api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py
rename to api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py
index e16b732d02..1639dd687f 100644
--- a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py
+++ b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py
@@ -1,11 +1,12 @@
+from collections.abc import Generator
 from datetime import datetime
-from typing import Any, Union
+from typing import Any, Optional
 
 import pytz
 
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
 from core.tools.errors import ToolInvokeError
-from core.tools.tool.builtin_tool import BuiltinTool
 
 
 class LocaltimeToTimestampTool(BuiltinTool):
@@ -13,7 +14,10 @@ class LocaltimeToTimestampTool(BuiltinTool):
         self,
         user_id: str,
         tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Convert localtime to timestamp
         """
@@ -23,11 +27,12 @@ class LocaltimeToTimestampTool(BuiltinTool):
             timezone = None
         time_format = "%Y-%m-%d %H:%M:%S"
 
-        timestamp = self.localtime_to_timestamp(localtime, time_format, timezone)
+        timestamp = self.localtime_to_timestamp(localtime, time_format, timezone)  # type: ignore
         if not timestamp:
-            return self.create_text_message(f"Invalid localtime: {localtime}")
+            yield self.create_text_message(f"Invalid localtime: {localtime}")
+            return
 
-        return self.create_text_message(f"{timestamp}")
+        yield self.create_text_message(f"{timestamp}")
 
     @staticmethod
     def localtime_to_timestamp(localtime: str, time_format: str, local_tz=None) -> int | None:
@@ -37,8 +42,8 @@ class LocaltimeToTimestampTool(BuiltinTool):
             if isinstance(local_tz, str):
                 local_tz = pytz.timezone(local_tz)
             local_time = datetime.strptime(localtime, time_format)
-            localtime = local_tz.localize(local_time)
-            timestamp = int(localtime.timestamp())
+            localtime = local_tz.localize(local_time)  # type: ignore
+            timestamp = int(localtime.timestamp())  # type: ignore
             return timestamp
         except Exception as e:
             raise ToolInvokeError(str(e))
diff --git a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.yaml b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.yaml
rename to api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml
diff --git a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py
similarity index 68%
rename from api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py
rename to api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py
index bcdd34fd4e..0ef6331530 100644
--- a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py
+++ b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py
@@ -1,11 +1,12 @@
+from collections.abc import Generator
 from datetime import datetime
-from typing import Any, Union
+from typing import Any, Optional
 
 import pytz
 
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
 from core.tools.errors import ToolInvokeError
-from core.tools.tool.builtin_tool import BuiltinTool
 
 
 class TimestampToLocaltimeTool(BuiltinTool):
@@ -13,11 +14,14 @@ class TimestampToLocaltimeTool(BuiltinTool):
         self,
         user_id: str,
         tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Convert timestamp to localtime
         """
-        timestamp = tool_parameters.get("timestamp")
+        timestamp: int = tool_parameters.get("timestamp", 0)
         timezone = tool_parameters.get("timezone", "Asia/Shanghai")
         if not timezone:
             timezone = None
@@ -25,11 +29,12 @@ class TimestampToLocaltimeTool(BuiltinTool):
 
         locatime = self.timestamp_to_localtime(timestamp, timezone)
         if not locatime:
-            return self.create_text_message(f"Invalid timestamp: {timestamp}")
+            yield self.create_text_message(f"Invalid timestamp: {timestamp}")
+            return
 
         localtime_format = locatime.strftime(time_format)
 
-        return self.create_text_message(f"{localtime_format}")
+        yield self.create_text_message(f"{localtime_format}")
 
     @staticmethod
     def timestamp_to_localtime(timestamp: int, local_tz=None) -> datetime | None:
diff --git a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.yaml b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.yaml
rename to api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml
diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py
similarity index 77%
rename from api/core/tools/provider/builtin/time/tools/timezone_conversion.py
rename to api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py
index 28e70db532..f9b776b3b9 100644
--- a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py
+++ b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py
@@ -1,11 +1,12 @@
+from collections.abc import Generator
 from datetime import datetime
-from typing import Any, Union
+from typing import Any, Optional
 
 import pytz
 
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
 from core.tools.errors import ToolInvokeError
-from core.tools.tool.builtin_tool import BuiltinTool
 
 
 class TimezoneConversionTool(BuiltinTool):
@@ -13,20 +14,24 @@ class TimezoneConversionTool(BuiltinTool):
         self,
         user_id: str,
         tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Convert time to equivalent time zone
         """
         current_time = tool_parameters.get("current_time")
         current_timezone = tool_parameters.get("current_timezone", "Asia/Shanghai")
         target_timezone = tool_parameters.get("target_timezone", "Asia/Tokyo")
-        target_time = self.timezone_convert(current_time, current_timezone, target_timezone)
+        target_time = self.timezone_convert(current_time, current_timezone, target_timezone)  # type: ignore
         if not target_time:
-            return self.create_text_message(
+            yield self.create_text_message(
                 f"Invalid datatime and timezone: {current_time},{current_timezone},{target_timezone}"
             )
+            return
 
-        return self.create_text_message(f"{target_time}")
+        yield self.create_text_message(f"{target_time}")
 
     @staticmethod
     def timezone_convert(current_time: str, source_timezone: str, target_timezone: str) -> str:
@@ -43,6 +48,6 @@ class TimezoneConversionTool(BuiltinTool):
             datetime_with_tz = input_timezone.localize(local_time)
             # timezone convert
             converted_datetime = datetime_with_tz.astimezone(output_timezone)
-            return converted_datetime.strftime(format=time_format)
+            return converted_datetime.strftime(format=time_format)  # type: ignore
         except Exception as e:
             raise ToolInvokeError(str(e))
diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml
rename to api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml
diff --git a/api/core/tools/provider/builtin/time/tools/weekday.py b/api/core/tools/builtin_tool/providers/time/tools/weekday.py
similarity index 66%
rename from api/core/tools/provider/builtin/time/tools/weekday.py
rename to api/core/tools/builtin_tool/providers/time/tools/weekday.py
index b327e54e17..158ce701c0 100644
--- a/api/core/tools/provider/builtin/time/tools/weekday.py
+++ b/api/core/tools/builtin_tool/providers/time/tools/weekday.py
@@ -1,9 +1,10 @@
 import calendar
+from collections.abc import Generator
 from datetime import datetime
-from typing import Any, Union
+from typing import Any, Optional
 
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
 
 
 class WeekdayTool(BuiltinTool):
@@ -11,22 +12,28 @@ class WeekdayTool(BuiltinTool):
         self,
         user_id: str,
         tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Calculate the day of the week for a given date
         """
         year = tool_parameters.get("year")
         month = tool_parameters.get("month")
+        if month is None:
+            raise ValueError("Month is required")
         day = tool_parameters.get("day")
 
         date_obj = self.convert_datetime(year, month, day)
         if not date_obj:
-            return self.create_text_message(f"Invalid date: Year {year}, Month {month}, Day {day}.")
+            yield self.create_text_message(f"Invalid date: Year {year}, Month {month}, Day {day}.")
+            return
 
         weekday_name = calendar.day_name[date_obj.weekday()]
         month_name = calendar.month_name[month]
         readable_date = f"{month_name} {date_obj.day}, {date_obj.year}"
-        return self.create_text_message(f"{readable_date} is {weekday_name}.")
+        yield self.create_text_message(f"{readable_date} is {weekday_name}.")
 
     @staticmethod
     def convert_datetime(year, month, day) -> datetime | None:
diff --git a/api/core/tools/provider/builtin/time/tools/weekday.yaml b/api/core/tools/builtin_tool/providers/time/tools/weekday.yaml
similarity index 100%
rename from api/core/tools/provider/builtin/time/tools/weekday.yaml
rename to api/core/tools/builtin_tool/providers/time/tools/weekday.yaml
diff --git a/api/core/tools/provider/builtin/webscraper/_assets/icon.svg b/api/core/tools/builtin_tool/providers/webscraper/_assets/icon.svg
similarity index 100%
rename from api/core/tools/provider/builtin/webscraper/_assets/icon.svg
rename to api/core/tools/builtin_tool/providers/webscraper/_assets/icon.svg
diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.py b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py
similarity index 51%
rename from api/core/tools/provider/builtin/webscraper/tools/webscraper.py
rename to api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py
index 12670b4b8b..3bee710879 100644
--- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.py
+++ b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py
@@ -1,8 +1,10 @@
-from typing import Any, Union
+from collections.abc import Generator
+from typing import Any, Optional
 
+from core.tools.builtin_tool.tool import BuiltinTool
 from core.tools.entities.tool_entities import ToolInvokeMessage
 from core.tools.errors import ToolInvokeError
-from core.tools.tool.builtin_tool import BuiltinTool
+from core.tools.utils.web_reader_tool import get_url
 
 
 class WebscraperTool(BuiltinTool):
@@ -10,7 +12,10 @@ class WebscraperTool(BuiltinTool):
         self,
         user_id: str,
         tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         invoke tools
         """
@@ -18,16 +23,17 @@ class WebscraperTool(BuiltinTool):
             url = tool_parameters.get("url", "")
             user_agent = tool_parameters.get("user_agent", "")
             if not url:
-                return self.create_text_message("Please input url")
+                yield self.create_text_message("Please input url")
+                return
 
             # get webpage
-            result = self.get_url(url, user_agent=user_agent)
+            result = get_url(url, user_agent=user_agent)
 
             if tool_parameters.get("generate_summary"):
                 # summarize and return
-                return self.create_text_message(self.summary(user_id=user_id, content=result))
+                yield self.create_text_message(self.summary(user_id=user_id, content=result))
             else:
                 # return full webpage
-                return self.create_text_message(result)
+                yield self.create_text_message(result)
         except Exception as e:
             raise ToolInvokeError(str(e))
diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml
similarity index 93%
rename from api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml
rename to api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml
index 0bb48a941d..291798c1f2 100644
--- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml
+++ b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml
@@ -49,12 +49,12 @@ parameters:
       zh_Hans: 如果启用，爬虫将仅返回页面摘要内容。
     form: form
     options:
-      - value: 'true'
+      - value: "true"
         label:
-          en_US: 'Yes'
+          en_US: "Yes"
           zh_Hans: 是
-      - value: 'false'
+      - value: "false"
         label:
-          en_US: 'No'
+          en_US: "No"
           zh_Hans: 否
-    default: 'false'
+    default: "false"
diff --git a/api/core/tools/builtin_tool/providers/webscraper/webscraper.py b/api/core/tools/builtin_tool/providers/webscraper/webscraper.py
new file mode 100644
index 0000000000..52c8370e0d
--- /dev/null
+++ b/api/core/tools/builtin_tool/providers/webscraper/webscraper.py
@@ -0,0 +1,11 @@
+from typing import Any
+
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+
+
+class WebscraperProvider(BuiltinToolProviderController):
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        Validate credentials
+        """
+        pass
diff --git a/api/core/tools/provider/builtin/webscraper/webscraper.yaml b/api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml
similarity index 92%
rename from api/core/tools/provider/builtin/webscraper/webscraper.yaml
rename to api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml
index 6c2eb97784..d6d0a0d610 100644
--- a/api/core/tools/provider/builtin/webscraper/webscraper.yaml
+++ b/api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml
@@ -12,4 +12,4 @@ identity:
   icon: icon.svg
   tags:
     - productivity
-credentials_for_provider:
+credentials_for_provider: []
diff --git a/api/core/tools/tool/builtin_tool.py b/api/core/tools/builtin_tool/tool.py
similarity index 85%
rename from api/core/tools/tool/builtin_tool.py
rename to api/core/tools/builtin_tool/tool.py
index adda4297f3..e61cda5de5 100644
--- a/api/core/tools/tool/builtin_tool.py
+++ b/api/core/tools/builtin_tool/tool.py
@@ -1,11 +1,9 @@
-from typing import Optional, cast
-
 from core.model_runtime.entities.llm_entities import LLMResult
 from core.model_runtime.entities.message_entities import PromptMessage, SystemPromptMessage, UserPromptMessage
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
 from core.tools.entities.tool_entities import ToolProviderType
-from core.tools.tool.tool import Tool
 from core.tools.utils.model_invocation_utils import ModelInvocationUtils
-from core.tools.utils.web_reader_tool import get_url
 
 _SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language
 and you can quickly aimed at the main point of an webpage and reproduce it in your own words but 
@@ -22,6 +20,25 @@ class BuiltinTool(Tool):
     :param meta: the meta data of a tool call processing
     """
 
+    provider: str
+
+    def __init__(self, provider: str, **kwargs):
+        super().__init__(**kwargs)
+        self.provider = provider
+
+    def fork_tool_runtime(self, runtime: ToolRuntime) -> "BuiltinTool":
+        """
+        fork a new tool with meta data
+
+        :param meta: the meta data of a tool call processing, tenant_id is required
+        :return: the new tool
+        """
+        return self.__class__(
+            entity=self.entity.model_copy(),
+            runtime=runtime,
+            provider=self.provider,
+        )
+
     def invoke_model(self, user_id: str, prompt_messages: list[PromptMessage], stop: list[str]) -> LLMResult:
         """
         invoke model
@@ -32,14 +49,11 @@ class BuiltinTool(Tool):
         :return: the model result
         """
         # invoke model
-        if self.runtime is None or self.identity is None:
-            raise ValueError("runtime and identity are required")
-
         return ModelInvocationUtils.invoke(
             user_id=user_id,
             tenant_id=self.runtime.tenant_id or "",
             tool_type="builtin",
-            tool_name=self.identity.name,
+            tool_name=self.entity.identity.name,
             prompt_messages=prompt_messages,
         )
 
@@ -92,7 +106,8 @@ class BuiltinTool(Tool):
                 stop=[],
             )
 
-            return cast(str, summary.message.content)
+            assert isinstance(summary.message.content, str)
+            return summary.message.content
 
         lines = content.split("\n")
         new_lines = []
@@ -136,9 +151,3 @@ class BuiltinTool(Tool):
             return self.summary(user_id=user_id, content=result)
 
         return result
-
-    def get_url(self, url: str, user_agent: Optional[str] = None) -> str:
-        """
-        get url
-        """
-        return get_url(url, user_agent=user_agent)
diff --git a/api/core/tools/provider/api_tool_provider.py b/api/core/tools/custom_tool/provider.py
similarity index 50%
rename from api/core/tools/provider/api_tool_provider.py
rename to api/core/tools/custom_tool/provider.py
index f451edbf2e..7133535313 100644
--- a/api/core/tools/provider/api_tool_provider.py
+++ b/api/core/tools/custom_tool/provider.py
@@ -1,86 +1,99 @@
-from typing import Optional
+from pydantic import Field
 
+from core.entities.provider_entities import ProviderConfig
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.custom_tool.tool import ApiTool
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_bundle import ApiToolBundle
 from core.tools.entities.tool_entities import (
     ApiProviderAuthType,
-    ToolCredentialsOption,
     ToolDescription,
+    ToolEntity,
     ToolIdentity,
-    ToolProviderCredentials,
+    ToolProviderEntity,
     ToolProviderIdentity,
     ToolProviderType,
 )
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.tool.api_tool import ApiTool
-from core.tools.tool.tool import Tool
 from extensions.ext_database import db
 from models.tools import ApiToolProvider
 
 
 class ApiToolProviderController(ToolProviderController):
     provider_id: str
+    tenant_id: str
+    tools: list[ApiTool] = Field(default_factory=list)
 
-    @staticmethod
-    def from_db(db_provider: ApiToolProvider, auth_type: ApiProviderAuthType) -> "ApiToolProviderController":
-        credentials_schema = {
-            "auth_type": ToolProviderCredentials(
+    def __init__(self, entity: ToolProviderEntity, provider_id: str, tenant_id: str) -> None:
+        super().__init__(entity)
+        self.provider_id = provider_id
+        self.tenant_id = tenant_id
+        self.tools = []
+
+    @classmethod
+    def from_db(cls, db_provider: ApiToolProvider, auth_type: ApiProviderAuthType) -> "ApiToolProviderController":
+        credentials_schema = [
+            ProviderConfig(
                 name="auth_type",
                 required=True,
-                type=ToolProviderCredentials.CredentialsType.SELECT,
+                type=ProviderConfig.Type.SELECT,
                 options=[
-                    ToolCredentialsOption(value="none", label=I18nObject(en_US="None", zh_Hans="无")),
-                    ToolCredentialsOption(value="api_key", label=I18nObject(en_US="api_key", zh_Hans="api_key")),
+                    ProviderConfig.Option(value="none", label=I18nObject(en_US="None", zh_Hans="无")),
+                    ProviderConfig.Option(value="api_key", label=I18nObject(en_US="api_key", zh_Hans="api_key")),
                 ],
                 default="none",
                 help=I18nObject(en_US="The auth type of the api provider", zh_Hans="api provider 的认证类型"),
             )
-        }
+        ]
         if auth_type == ApiProviderAuthType.API_KEY:
-            credentials_schema = {
-                **credentials_schema,
-                "api_key_header": ToolProviderCredentials(
+            credentials_schema = [
+                *credentials_schema,
+                ProviderConfig(
                     name="api_key_header",
                     required=False,
                     default="api_key",
-                    type=ToolProviderCredentials.CredentialsType.TEXT_INPUT,
+                    type=ProviderConfig.Type.TEXT_INPUT,
                     help=I18nObject(en_US="The header name of the api key", zh_Hans="携带 api key 的 header 名称"),
                 ),
-                "api_key_value": ToolProviderCredentials(
+                ProviderConfig(
                     name="api_key_value",
                     required=True,
-                    type=ToolProviderCredentials.CredentialsType.SECRET_INPUT,
+                    type=ProviderConfig.Type.SECRET_INPUT,
                     help=I18nObject(en_US="The api key", zh_Hans="api key的值"),
                 ),
-                "api_key_header_prefix": ToolProviderCredentials(
+                ProviderConfig(
                     name="api_key_header_prefix",
                     required=False,
                     default="basic",
-                    type=ToolProviderCredentials.CredentialsType.SELECT,
+                    type=ProviderConfig.Type.SELECT,
                     help=I18nObject(en_US="The prefix of the api key header", zh_Hans="api key header 的前缀"),
                     options=[
-                        ToolCredentialsOption(value="basic", label=I18nObject(en_US="Basic", zh_Hans="Basic")),
-                        ToolCredentialsOption(value="bearer", label=I18nObject(en_US="Bearer", zh_Hans="Bearer")),
-                        ToolCredentialsOption(value="custom", label=I18nObject(en_US="Custom", zh_Hans="Custom")),
+                        ProviderConfig.Option(value="basic", label=I18nObject(en_US="Basic", zh_Hans="Basic")),
+                        ProviderConfig.Option(value="bearer", label=I18nObject(en_US="Bearer", zh_Hans="Bearer")),
+                        ProviderConfig.Option(value="custom", label=I18nObject(en_US="Custom", zh_Hans="Custom")),
                     ],
                 ),
-            }
+            ]
         elif auth_type == ApiProviderAuthType.NONE:
             pass
-        else:
-            raise ValueError(f"invalid auth type {auth_type}")
-        user_name = db_provider.user.name if db_provider.user_id and db_provider.user is not None else ""
+
+        user = db_provider.user
+        user_name = user.name if user else ""
+
         return ApiToolProviderController(
-            identity=ToolProviderIdentity(
-                author=user_name,
-                name=db_provider.name,
-                label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name),
-                description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
-                icon=db_provider.icon,
+            entity=ToolProviderEntity(
+                identity=ToolProviderIdentity(
+                    author=user_name,
+                    name=db_provider.name,
+                    label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name),
+                    description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
+                    icon=db_provider.icon,
+                ),
+                credentials_schema=credentials_schema,
+                plugin_id=None,
             ),
-            credentials_schema=credentials_schema,
             provider_id=db_provider.id or "",
-            tools=None,
+            tenant_id=db_provider.tenant_id or "",
         )
 
     @property
@@ -96,21 +109,28 @@ class ApiToolProviderController(ToolProviderController):
         """
         return ApiTool(
             api_bundle=tool_bundle,
-            identity=ToolIdentity(
-                author=tool_bundle.author,
-                name=tool_bundle.operation_id or "",
-                label=I18nObject(en_US=tool_bundle.operation_id, zh_Hans=tool_bundle.operation_id),
-                icon=self.identity.icon if self.identity else None,
-                provider=self.provider_id,
+            provider_id=self.provider_id,
+            entity=ToolEntity(
+                identity=ToolIdentity(
+                    author=tool_bundle.author,
+                    name=tool_bundle.operation_id or "default_tool",
+                    label=I18nObject(
+                        en_US=tool_bundle.operation_id or "default_tool",
+                        zh_Hans=tool_bundle.operation_id or "default_tool",
+                    ),
+                    icon=self.entity.identity.icon,
+                    provider=self.provider_id,
+                ),
+                description=ToolDescription(
+                    human=I18nObject(en_US=tool_bundle.summary or "", zh_Hans=tool_bundle.summary or ""),
+                    llm=tool_bundle.summary or "",
+                ),
+                parameters=tool_bundle.parameters or [],
             ),
-            description=ToolDescription(
-                human=I18nObject(en_US=tool_bundle.summary or "", zh_Hans=tool_bundle.summary or ""),
-                llm=tool_bundle.summary or "",
-            ),
-            parameters=tool_bundle.parameters or [],
+            runtime=ToolRuntime(tenant_id=self.tenant_id),
         )
 
-    def load_bundled_tools(self, tools: list[ApiToolBundle]) -> list[Tool]:
+    def load_bundled_tools(self, tools: list[ApiToolBundle]):
         """
         load bundled tools
 
@@ -121,7 +141,7 @@ class ApiToolProviderController(ToolProviderController):
 
         return self.tools
 
-    def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]:
+    def get_tools(self, tenant_id: str) -> list[ApiTool]:
         """
         fetch tools from database
 
@@ -129,17 +149,15 @@ class ApiToolProviderController(ToolProviderController):
         :param tenant_id: the tenant id
         :return: the tools
         """
-        if self.tools is not None:
+        if len(self.tools) > 0:
             return self.tools
-        if self.identity is None:
-            return None
 
-        tools: list[Tool] = []
+        tools: list[ApiTool] = []
 
         # get tenant api providers
         db_providers: list[ApiToolProvider] = (
             db.session.query(ApiToolProvider)
-            .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.name == self.identity.name)
+            .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.name == self.entity.identity.name)
             .all()
         )
 
@@ -147,13 +165,12 @@ class ApiToolProviderController(ToolProviderController):
             for db_provider in db_providers:
                 for tool in db_provider.tools:
                     assistant_tool = self._parse_tool_bundle(tool)
-                    assistant_tool.is_team_authorization = True
                     tools.append(assistant_tool)
 
         self.tools = tools
         return tools
 
-    def get_tool(self, tool_name: str) -> Tool:
+    def get_tool(self, tool_name: str):
         """
         get tool by name
 
@@ -161,12 +178,10 @@ class ApiToolProviderController(ToolProviderController):
         :return: the tool
         """
         if self.tools is None:
-            self.get_tools()
+            self.get_tools(self.tenant_id)
 
-        for tool in self.tools or []:
-            if tool.identity is None:
-                continue
-            if tool.identity.name == tool_name:
+        for tool in self.tools:
+            if tool.entity.identity.name == tool_name:
                 return tool
 
         raise ValueError(f"tool {tool_name} not found")
diff --git a/api/core/tools/tool/api_tool.py b/api/core/tools/custom_tool/tool.py
similarity index 91%
rename from api/core/tools/tool/api_tool.py
rename to api/core/tools/custom_tool/tool.py
index 6904fecb46..f8467c54c5 100644
--- a/api/core/tools/tool/api_tool.py
+++ b/api/core/tools/custom_tool/tool.py
@@ -1,16 +1,18 @@
 import json
+from collections.abc import Generator
 from os import getenv
-from typing import Any
+from typing import Any, Optional
 from urllib.parse import urlencode
 
 import httpx
 
 from core.file.file_manager import download
 from core.helper import ssrf_proxy
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
 from core.tools.entities.tool_bundle import ApiToolBundle
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType
+from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolProviderType
 from core.tools.errors import ToolInvokeError, ToolParameterValidationError, ToolProviderCredentialValidationError
-from core.tools.tool.tool import Tool
 
 API_TOOL_DEFAULT_TIMEOUT = (
     int(getenv("API_TOOL_DEFAULT_CONNECT_TIMEOUT", "10")),
@@ -20,12 +22,18 @@ API_TOOL_DEFAULT_TIMEOUT = (
 
 class ApiTool(Tool):
     api_bundle: ApiToolBundle
+    provider_id: str
 
     """
     Api tool
     """
 
-    def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool":
+    def __init__(self, entity: ToolEntity, api_bundle: ApiToolBundle, runtime: ToolRuntime, provider_id: str):
+        super().__init__(entity, runtime)
+        self.api_bundle = api_bundle
+        self.provider_id = provider_id
+
+    def fork_tool_runtime(self, runtime: ToolRuntime):
         """
         fork a new tool with meta data
 
@@ -35,11 +43,10 @@ class ApiTool(Tool):
         if self.api_bundle is None:
             raise ValueError("api_bundle is required")
         return self.__class__(
-            identity=self.identity.model_copy() if self.identity else None,
-            parameters=self.parameters.copy() if self.parameters else None,
-            description=self.description.model_copy() if self.description else None,
+            entity=self.entity,
             api_bundle=self.api_bundle.model_copy(),
-            runtime=Tool.Runtime(**runtime),
+            runtime=runtime,
+            provider_id=self.provider_id,
         )
 
     def validate_credentials(
@@ -62,6 +69,9 @@ class ApiTool(Tool):
         return ToolProviderType.API
 
     def assembling_request(self, parameters: dict[str, Any]) -> dict[str, Any]:
+        if self.runtime is None:
+            raise ToolProviderCredentialValidationError("runtime not initialized")
+
         headers = {}
         if self.runtime is None:
             raise ValueError("runtime is required")
@@ -115,9 +125,9 @@ class ApiTool(Tool):
                 response = response.json()
                 try:
                     return json.dumps(response, ensure_ascii=False)
-                except Exception as e:
+                except Exception:
                     return json.dumps(response)
-            except Exception as e:
+            except Exception:
                 return response.text
         else:
             raise ValueError(f"Invalid response type {type(response)}")
@@ -301,10 +311,17 @@ class ApiTool(Tool):
                     raise ValueError(f"Invalid type {property['type']} for property {property}")
             elif "anyOf" in property and isinstance(property["anyOf"], list):
                 return self._convert_body_property_any_of(property, value, property["anyOf"])
-        except ValueError as e:
+        except ValueError:
             return value
 
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         invoke http request
         """
@@ -319,4 +336,4 @@ class ApiTool(Tool):
         response = self.validate_and_parse_response(response)
 
         # assemble invoke message
-        return self.create_text_message(response)
+        yield self.create_text_message(response)
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/__init__.py b/api/core/tools/entities/agent_entities.py
similarity index 100%
rename from api/core/model_runtime/model_providers/azure_ai_studio/__init__.py
rename to api/core/tools/entities/agent_entities.py
diff --git a/api/core/tools/entities/api_entities.py b/api/core/tools/entities/api_entities.py
index 975c374cae..b96c994cff 100644
--- a/api/core/tools/entities/api_entities.py
+++ b/api/core/tools/entities/api_entities.py
@@ -3,37 +3,40 @@ from typing import Literal, Optional
 from pydantic import BaseModel, Field, field_validator
 
 from core.model_runtime.utils.encoders import jsonable_encoder
+from core.tools.__base.tool import ToolParameter
 from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolProviderCredentials, ToolProviderType
-from core.tools.tool.tool import ToolParameter
+from core.tools.entities.tool_entities import ToolProviderType
 
 
-class UserTool(BaseModel):
+class ToolApiEntity(BaseModel):
     author: str
     name: str  # identifier
     label: I18nObject  # label
     description: I18nObject
     parameters: Optional[list[ToolParameter]] = None
-    labels: list[str] | None = None
+    labels: list[str] = Field(default_factory=list)
+    output_schema: Optional[dict] = None
 
 
-UserToolProviderTypeLiteral = Optional[Literal["builtin", "api", "workflow"]]
+ToolProviderTypeApiLiteral = Optional[Literal["builtin", "api", "workflow"]]
 
 
-class UserToolProvider(BaseModel):
+class ToolProviderApiEntity(BaseModel):
     id: str
     author: str
     name: str  # identifier
     description: I18nObject
-    icon: str
+    icon: str | dict
     label: I18nObject  # label
     type: ToolProviderType
     masked_credentials: Optional[dict] = None
     original_credentials: Optional[dict] = None
     is_team_authorization: bool = False
     allow_delete: bool = True
-    tools: list[UserTool] = Field(default_factory=list)
-    labels: list[str] | None = None
+    plugin_id: Optional[str] = Field(default="", description="The plugin id of the tool")
+    plugin_unique_identifier: Optional[str] = Field(default="", description="The unique identifier of the tool")
+    tools: list[ToolApiEntity] = Field(default_factory=list)
+    labels: list[str] = Field(default_factory=list)
 
     @field_validator("tools", mode="before")
     @classmethod
@@ -55,6 +58,8 @@ class UserToolProvider(BaseModel):
             "id": self.id,
             "author": self.author,
             "name": self.name,
+            "plugin_id": self.plugin_id,
+            "plugin_unique_identifier": self.plugin_unique_identifier,
             "description": self.description.to_dict(),
             "icon": self.icon,
             "label": self.label.to_dict(),
@@ -65,7 +70,3 @@ class UserToolProvider(BaseModel):
             "tools": tools,
             "labels": self.labels,
         }
-
-
-class UserToolProviderCredentials(BaseModel):
-    credentials: dict[str, ToolProviderCredentials]
diff --git a/api/core/tools/entities/constants.py b/api/core/tools/entities/constants.py
new file mode 100644
index 0000000000..199c9f0d53
--- /dev/null
+++ b/api/core/tools/entities/constants.py
@@ -0,0 +1 @@
+TOOL_SELECTOR_MODEL_IDENTITY = "__dify__tool_selector__"
diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py b/api/core/tools/entities/file_entities.py
similarity index 100%
rename from api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py
rename to api/core/tools/entities/file_entities.py
diff --git a/api/core/tools/entities/tool_bundle.py b/api/core/tools/entities/tool_bundle.py
index 7c365dc69d..ffeeabbc1c 100644
--- a/api/core/tools/entities/tool_bundle.py
+++ b/api/core/tools/entities/tool_bundle.py
@@ -18,7 +18,7 @@ class ApiToolBundle(BaseModel):
     # summary
     summary: Optional[str] = None
     # operation_id
-    operation_id: str | None = None
+    operation_id: Optional[str] = None
     # parameters
     parameters: Optional[list[ToolParameter]] = None
     # author
diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py
index c87a90c03a..b8eae600d1 100644
--- a/api/core/tools/entities/tool_entities.py
+++ b/api/core/tools/entities/tool_entities.py
@@ -1,9 +1,22 @@
-from enum import Enum, StrEnum
-from typing import Any, Optional, Union, cast
+import base64
+import enum
+from collections.abc import Mapping
+from enum import Enum
+from typing import Any, Optional, Union
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_serializer, field_validator, model_validator
 
+from core.entities.provider_entities import ProviderConfig
+from core.plugin.entities.parameters import (
+    PluginParameter,
+    PluginParameterOption,
+    PluginParameterType,
+    as_normal_type,
+    cast_parameter_value,
+    init_frontend_parameter,
+)
 from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.constants import TOOL_SELECTOR_MODEL_IDENTITY
 
 
 class ToolLabelEnum(Enum):
@@ -25,11 +38,12 @@ class ToolLabelEnum(Enum):
     OTHER = "other"
 
 
-class ToolProviderType(Enum):
+class ToolProviderType(enum.StrEnum):
     """
     Enum class for tool provider
     """
 
+    PLUGIN = "plugin"
     BUILT_IN = "builtin"
     WORKFLOW = "workflow"
     API = "api"
@@ -97,6 +111,64 @@ class ApiProviderAuthType(Enum):
 
 
 class ToolInvokeMessage(BaseModel):
+    class TextMessage(BaseModel):
+        text: str
+
+    class JsonMessage(BaseModel):
+        json_object: dict
+
+    class BlobMessage(BaseModel):
+        blob: bytes
+
+    class FileMessage(BaseModel):
+        pass
+
+    class VariableMessage(BaseModel):
+        variable_name: str = Field(..., description="The name of the variable")
+        variable_value: Any = Field(..., description="The value of the variable")
+        stream: bool = Field(default=False, description="Whether the variable is streamed")
+
+        @model_validator(mode="before")
+        @classmethod
+        def transform_variable_value(cls, values) -> Any:
+            """
+            Only basic types and lists are allowed.
+            """
+            value = values.get("variable_value")
+            if not isinstance(value, dict | list | str | int | float | bool):
+                raise ValueError("Only basic types and lists are allowed.")
+
+            # if stream is true, the value must be a string
+            if values.get("stream"):
+                if not isinstance(value, str):
+                    raise ValueError("When 'stream' is True, 'variable_value' must be a string.")
+
+            return values
+
+        @field_validator("variable_name", mode="before")
+        @classmethod
+        def transform_variable_name(cls, value: str) -> str:
+            """
+            The variable name must be a string.
+            """
+            if value in {"json", "text", "files"}:
+                raise ValueError(f"The variable name '{value}' is reserved.")
+            return value
+
+    class LogMessage(BaseModel):
+        class LogStatus(Enum):
+            START = "start"
+            ERROR = "error"
+            SUCCESS = "success"
+
+        id: str
+        label: str = Field(..., description="The label of the log")
+        parent_id: Optional[str] = Field(default=None, description="Leave empty for root log")
+        error: Optional[str] = Field(default=None, description="The error message")
+        status: LogStatus = Field(..., description="The status of the log")
+        data: Mapping[str, Any] = Field(..., description="Detailed log data")
+        metadata: Optional[Mapping[str, Any]] = Field(default=None, description="The metadata of the log")
+
     class MessageType(Enum):
         TEXT = "text"
         IMAGE = "image"
@@ -104,132 +176,86 @@ class ToolInvokeMessage(BaseModel):
         BLOB = "blob"
         JSON = "json"
         IMAGE_LINK = "image_link"
+        BINARY_LINK = "binary_link"
+        VARIABLE = "variable"
         FILE = "file"
+        LOG = "log"
 
     type: MessageType = MessageType.TEXT
     """
         plain text, image url or link url
     """
-    message: str | bytes | dict | None = None
-    # TODO: Use a BaseModel for meta
-    meta: dict[str, Any] = Field(default_factory=dict)
-    save_as: str = ""
+    message: JsonMessage | TextMessage | BlobMessage | VariableMessage | FileMessage | LogMessage | None
+    meta: dict[str, Any] | None = None
+
+    @field_validator("message", mode="before")
+    @classmethod
+    def decode_blob_message(cls, v):
+        if isinstance(v, dict) and "blob" in v:
+            try:
+                v["blob"] = base64.b64decode(v["blob"])
+            except Exception:
+                pass
+        return v
+
+    @field_serializer("message")
+    def serialize_message(self, v):
+        if isinstance(v, self.BlobMessage):
+            return {"blob": base64.b64encode(v.blob).decode("utf-8")}
+        return v
 
 
 class ToolInvokeMessageBinary(BaseModel):
     mimetype: str = Field(..., description="The mimetype of the binary")
     url: str = Field(..., description="The url of the binary")
-    save_as: str = ""
     file_var: Optional[dict[str, Any]] = None
 
 
-class ToolParameterOption(BaseModel):
-    value: str = Field(..., description="The value of the option")
-    label: I18nObject = Field(..., description="The label of the option")
+class ToolParameter(PluginParameter):
+    """
+    Overrides type
+    """
 
-    @field_validator("value", mode="before")
-    @classmethod
-    def transform_id_to_str(cls, value) -> str:
-        if not isinstance(value, str):
-            return str(value)
-        else:
-            return value
+    class ToolParameterType(enum.StrEnum):
+        """
+        removes TOOLS_SELECTOR from PluginParameterType
+        """
 
-
-class ToolParameter(BaseModel):
-    class ToolParameterType(StrEnum):
-        STRING = "string"
-        NUMBER = "number"
-        BOOLEAN = "boolean"
-        SELECT = "select"
-        SECRET_INPUT = "secret-input"
-        FILE = "file"
-        FILES = "files"
+        STRING = PluginParameterType.STRING.value
+        NUMBER = PluginParameterType.NUMBER.value
+        BOOLEAN = PluginParameterType.BOOLEAN.value
+        SELECT = PluginParameterType.SELECT.value
+        SECRET_INPUT = PluginParameterType.SECRET_INPUT.value
+        FILE = PluginParameterType.FILE.value
+        FILES = PluginParameterType.FILES.value
+        APP_SELECTOR = PluginParameterType.APP_SELECTOR.value
+        MODEL_SELECTOR = PluginParameterType.MODEL_SELECTOR.value
 
         # deprecated, should not use.
-        SYSTEM_FILES = "systme-files"
+        SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value
 
         def as_normal_type(self):
-            if self in {
-                ToolParameter.ToolParameterType.SECRET_INPUT,
-                ToolParameter.ToolParameterType.SELECT,
-            }:
-                return "string"
-            return self.value
+            return as_normal_type(self)
 
-        def cast_value(self, value: Any, /):
-            try:
-                match self:
-                    case (
-                        ToolParameter.ToolParameterType.STRING
-                        | ToolParameter.ToolParameterType.SECRET_INPUT
-                        | ToolParameter.ToolParameterType.SELECT
-                    ):
-                        if value is None:
-                            return ""
-                        else:
-                            return value if isinstance(value, str) else str(value)
-
-                    case ToolParameter.ToolParameterType.BOOLEAN:
-                        if value is None:
-                            return False
-                        elif isinstance(value, str):
-                            # Allowed YAML boolean value strings: https://yaml.org/type/bool.html
-                            # and also '0' for False and '1' for True
-                            match value.lower():
-                                case "true" | "yes" | "y" | "1":
-                                    return True
-                                case "false" | "no" | "n" | "0":
-                                    return False
-                                case _:
-                                    return bool(value)
-                        else:
-                            return value if isinstance(value, bool) else bool(value)
-
-                    case ToolParameter.ToolParameterType.NUMBER:
-                        if isinstance(value, int | float):
-                            return value
-                        elif isinstance(value, str) and value:
-                            if "." in value:
-                                return float(value)
-                            else:
-                                return int(value)
-                    case (
-                        ToolParameter.ToolParameterType.SYSTEM_FILES
-                        | ToolParameter.ToolParameterType.FILE
-                        | ToolParameter.ToolParameterType.FILES
-                    ):
-                        return value
-                    case _:
-                        return str(value)
-
-            except Exception:
-                raise ValueError(f"The tool parameter value {value} is not in correct type.")
+        def cast_value(self, value: Any):
+            return cast_parameter_value(self, value)
 
     class ToolParameterForm(Enum):
         SCHEMA = "schema"  # should be set while adding tool
         FORM = "form"  # should be set before invoking tool
         LLM = "llm"  # will be set by LLM
 
-    name: str = Field(..., description="The name of the parameter")
-    label: I18nObject = Field(..., description="The label presented to the user")
-    human_description: Optional[I18nObject] = Field(None, description="The description presented to the user")
-    placeholder: Optional[I18nObject] = Field(None, description="The placeholder presented to the user")
     type: ToolParameterType = Field(..., description="The type of the parameter")
+    human_description: Optional[I18nObject] = Field(default=None, description="The description presented to the user")
     form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm")
     llm_description: Optional[str] = None
-    required: Optional[bool] = False
-    default: Optional[Union[float, int, str]] = None
-    min: Optional[Union[float, int]] = None
-    max: Optional[Union[float, int]] = None
-    options: Optional[list[ToolParameterOption]] = None
 
     @classmethod
     def get_simple_instance(
         cls,
         name: str,
         llm_description: str,
-        type: ToolParameterType,
+        typ: ToolParameterType,
         required: bool,
         options: Optional[list[str]] = None,
     ) -> "ToolParameter":
@@ -245,22 +271,28 @@ class ToolParameter(BaseModel):
         # convert options to ToolParameterOption
         # FIXME fix the type error
         if options:
-            options = [
-                ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))  # type: ignore
-                for option in options  # type: ignore
+            option_objs = [
+                PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
+                for option in options
             ]
+        else:
+            option_objs = []
+
         return cls(
             name=name,
             label=I18nObject(en_US="", zh_Hans=""),
-            human_description=I18nObject(en_US="", zh_Hans=""),
             placeholder=None,
-            type=type,
+            human_description=I18nObject(en_US="", zh_Hans=""),
+            type=typ,
             form=cls.ToolParameterForm.LLM,
             llm_description=llm_description,
             required=required,
-            options=options,  # type: ignore
+            options=option_objs,
         )
 
+    def init_frontend_parameter(self, value: Any):
+        return init_frontend_parameter(self, self.type, value)
+
 
 class ToolProviderIdentity(BaseModel):
     author: str = Field(..., description="The author of the tool")
@@ -274,11 +306,6 @@ class ToolProviderIdentity(BaseModel):
     )
 
 
-class ToolDescription(BaseModel):
-    human: I18nObject = Field(..., description="The description presented to the user")
-    llm: str = Field(..., description="The description presented to the LLM")
-
-
 class ToolIdentity(BaseModel):
     author: str = Field(..., description="The author of the tool")
     name: str = Field(..., description="The name of the tool")
@@ -287,185 +314,35 @@ class ToolIdentity(BaseModel):
     icon: Optional[str] = None
 
 
-class ToolCredentialsOption(BaseModel):
-    value: str = Field(..., description="The value of the option")
-    label: I18nObject = Field(..., description="The label of the option")
+class ToolDescription(BaseModel):
+    human: I18nObject = Field(..., description="The description presented to the user")
+    llm: str = Field(..., description="The description presented to the LLM")
 
 
-class ToolProviderCredentials(BaseModel):
-    class CredentialsType(Enum):
-        SECRET_INPUT = "secret-input"
-        TEXT_INPUT = "text-input"
-        SELECT = "select"
-        BOOLEAN = "boolean"
+class ToolEntity(BaseModel):
+    identity: ToolIdentity
+    parameters: list[ToolParameter] = Field(default_factory=list)
+    description: Optional[ToolDescription] = None
+    output_schema: Optional[dict] = None
+    has_runtime_parameters: bool = Field(default=False, description="Whether the tool has runtime parameters")
 
-        @classmethod
-        def value_of(cls, value: str) -> "ToolProviderCredentials.CredentialsType":
-            """
-            Get value of given mode.
+    # pydantic configs
+    model_config = ConfigDict(protected_namespaces=())
 
-            :param value: mode value
-            :return: mode
-            """
-            for mode in cls:
-                if mode.value == value:
-                    return mode
-            raise ValueError(f"invalid mode value {value}")
-
-        @staticmethod
-        def default(value: str) -> str:
-            return ""
-
-    name: str = Field(..., description="The name of the credentials")
-    type: CredentialsType = Field(..., description="The type of the credentials")
-    required: bool = False
-    default: Optional[Union[int, str]] = None
-    options: Optional[list[ToolCredentialsOption]] = None
-    label: Optional[I18nObject] = None
-    help: Optional[I18nObject] = None
-    url: Optional[str] = None
-    placeholder: Optional[I18nObject] = None
-
-    def to_dict(self) -> dict:
-        return {
-            "name": self.name,
-            "type": self.type.value,
-            "required": self.required,
-            "default": self.default,
-            "options": self.options,
-            "help": self.help.to_dict() if self.help else None,
-            "label": self.label.to_dict() if self.label else None,
-            "url": self.url,
-            "placeholder": self.placeholder.to_dict() if self.placeholder else None,
-        }
+    @field_validator("parameters", mode="before")
+    @classmethod
+    def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]:
+        return v or []
 
 
-class ToolRuntimeVariableType(Enum):
-    TEXT = "text"
-    IMAGE = "image"
+class ToolProviderEntity(BaseModel):
+    identity: ToolProviderIdentity
+    plugin_id: Optional[str] = None
+    credentials_schema: list[ProviderConfig] = Field(default_factory=list)
 
 
-class ToolRuntimeVariable(BaseModel):
-    type: ToolRuntimeVariableType = Field(..., description="The type of the variable")
-    name: str = Field(..., description="The name of the variable")
-    position: int = Field(..., description="The position of the variable")
-    tool_name: str = Field(..., description="The name of the tool")
-
-
-class ToolRuntimeTextVariable(ToolRuntimeVariable):
-    value: str = Field(..., description="The value of the variable")
-
-
-class ToolRuntimeImageVariable(ToolRuntimeVariable):
-    value: str = Field(..., description="The path of the image")
-
-
-class ToolRuntimeVariablePool(BaseModel):
-    conversation_id: str = Field(..., description="The conversation id")
-    user_id: str = Field(..., description="The user id")
-    tenant_id: str = Field(..., description="The tenant id of assistant")
-
-    pool: list[ToolRuntimeVariable] = Field(..., description="The pool of variables")
-
-    def __init__(self, **data: Any):
-        pool = data.get("pool", [])
-        # convert pool into correct type
-        for index, variable in enumerate(pool):
-            if variable["type"] == ToolRuntimeVariableType.TEXT.value:
-                pool[index] = ToolRuntimeTextVariable(**variable)
-            elif variable["type"] == ToolRuntimeVariableType.IMAGE.value:
-                pool[index] = ToolRuntimeImageVariable(**variable)
-        super().__init__(**data)
-
-    def dict(self) -> dict:  # type: ignore
-        """
-        FIXME: just ignore the type check for now
-        """
-        return {
-            "conversation_id": self.conversation_id,
-            "user_id": self.user_id,
-            "tenant_id": self.tenant_id,
-            "pool": [variable.model_dump() for variable in self.pool],
-        }
-
-    def set_text(self, tool_name: str, name: str, value: str) -> None:
-        """
-        set a text variable
-        """
-        for variable in self.pool:
-            if variable.name == name:
-                if variable.type == ToolRuntimeVariableType.TEXT:
-                    variable = cast(ToolRuntimeTextVariable, variable)
-                    variable.value = value
-                    return
-
-        variable = ToolRuntimeTextVariable(
-            type=ToolRuntimeVariableType.TEXT,
-            name=name,
-            position=len(self.pool),
-            tool_name=tool_name,
-            value=value,
-        )
-
-        self.pool.append(variable)
-
-    def set_file(self, tool_name: str, value: str, name: Optional[str] = None) -> None:
-        """
-        set an image variable
-
-        :param tool_name: the name of the tool
-        :param value: the id of the file
-        """
-        # check how many image variables are there
-        image_variable_count = 0
-        for variable in self.pool:
-            if variable.type == ToolRuntimeVariableType.IMAGE:
-                image_variable_count += 1
-
-        if name is None:
-            name = f"file_{image_variable_count}"
-
-        for variable in self.pool:
-            if variable.name == name:
-                if variable.type == ToolRuntimeVariableType.IMAGE:
-                    variable = cast(ToolRuntimeImageVariable, variable)
-                    variable.value = value
-                    return
-
-        variable = ToolRuntimeImageVariable(
-            type=ToolRuntimeVariableType.IMAGE,
-            name=name,
-            position=len(self.pool),
-            tool_name=tool_name,
-            value=value,
-        )
-
-        self.pool.append(variable)
-
-
-class ModelToolPropertyKey(Enum):
-    IMAGE_PARAMETER_NAME = "image_parameter_name"
-
-
-class ModelToolConfiguration(BaseModel):
-    """
-    Model tool configuration
-    """
-
-    type: str = Field(..., description="The type of the model tool")
-    model: str = Field(..., description="The model")
-    label: I18nObject = Field(..., description="The label of the model tool")
-    properties: dict[ModelToolPropertyKey, Any] = Field(..., description="The properties of the model tool")
-
-
-class ModelToolProviderConfiguration(BaseModel):
-    """
-    Model tool provider configuration
-    """
-
-    provider: str = Field(..., description="The provider of the model tool")
-    models: list[ModelToolConfiguration] = Field(..., description="The models of the model tool")
-    label: I18nObject = Field(..., description="The label of the model tool")
+class ToolProviderEntityWithPlugin(ToolProviderEntity):
+    tools: list[ToolEntity] = Field(default_factory=list)
 
 
 class WorkflowToolParameterConfiguration(BaseModel):
@@ -526,3 +403,25 @@ class ToolInvokeFrom(Enum):
 
     WORKFLOW = "workflow"
     AGENT = "agent"
+    PLUGIN = "plugin"
+
+
+class ToolSelector(BaseModel):
+    dify_model_identity: str = TOOL_SELECTOR_MODEL_IDENTITY
+
+    class Parameter(BaseModel):
+        name: str = Field(..., description="The name of the parameter")
+        type: ToolParameter.ToolParameterType = Field(..., description="The type of the parameter")
+        required: bool = Field(..., description="Whether the parameter is required")
+        description: str = Field(..., description="The description of the parameter")
+        default: Optional[Union[int, float, str]] = None
+        options: Optional[list[PluginParameterOption]] = None
+
+    provider_id: str = Field(..., description="The id of the provider")
+    tool_name: str = Field(..., description="The name of the tool")
+    tool_description: str = Field(..., description="The description of the tool")
+    tool_configuration: Mapping[str, Any] = Field(..., description="Configuration, type form")
+    tool_parameters: Mapping[str, Parameter] = Field(..., description="Parameters, type llm")
+
+    def to_plugin_parameter(self) -> dict[str, Any]:
+        return self.model_dump()
diff --git a/api/core/tools/plugin_tool/provider.py b/api/core/tools/plugin_tool/provider.py
new file mode 100644
index 0000000000..3616e426b9
--- /dev/null
+++ b/api/core/tools/plugin_tool/provider.py
@@ -0,0 +1,79 @@
+from typing import Any
+
+from core.plugin.manager.tool import PluginToolManager
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin, ToolProviderType
+from core.tools.errors import ToolProviderCredentialValidationError
+from core.tools.plugin_tool.tool import PluginTool
+
+
+class PluginToolProviderController(BuiltinToolProviderController):
+    entity: ToolProviderEntityWithPlugin
+    tenant_id: str
+    plugin_id: str
+    plugin_unique_identifier: str
+
+    def __init__(
+        self, entity: ToolProviderEntityWithPlugin, plugin_id: str, plugin_unique_identifier: str, tenant_id: str
+    ) -> None:
+        self.entity = entity
+        self.tenant_id = tenant_id
+        self.plugin_id = plugin_id
+        self.plugin_unique_identifier = plugin_unique_identifier
+
+    @property
+    def provider_type(self) -> ToolProviderType:
+        """
+        returns the type of the provider
+
+        :return: type of the provider
+        """
+        return ToolProviderType.PLUGIN
+
+    def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        validate the credentials of the provider
+        """
+        manager = PluginToolManager()
+        if not manager.validate_provider_credentials(
+            tenant_id=self.tenant_id,
+            user_id=user_id,
+            provider=self.entity.identity.name,
+            credentials=credentials,
+        ):
+            raise ToolProviderCredentialValidationError("Invalid credentials")
+
+    def get_tool(self, tool_name: str) -> PluginTool:  # type: ignore
+        """
+        return tool with given name
+        """
+        tool_entity = next(
+            (tool_entity for tool_entity in self.entity.tools if tool_entity.identity.name == tool_name), None
+        )
+
+        if not tool_entity:
+            raise ValueError(f"Tool with name {tool_name} not found")
+
+        return PluginTool(
+            entity=tool_entity,
+            runtime=ToolRuntime(tenant_id=self.tenant_id),
+            tenant_id=self.tenant_id,
+            icon=self.entity.identity.icon,
+            plugin_unique_identifier=self.plugin_unique_identifier,
+        )
+
+    def get_tools(self) -> list[PluginTool]:  # type: ignore
+        """
+        get all tools
+        """
+        return [
+            PluginTool(
+                entity=tool_entity,
+                runtime=ToolRuntime(tenant_id=self.tenant_id),
+                tenant_id=self.tenant_id,
+                icon=self.entity.identity.icon,
+                plugin_unique_identifier=self.plugin_unique_identifier,
+            )
+            for tool_entity in self.entity.tools
+        ]
diff --git a/api/core/tools/plugin_tool/tool.py b/api/core/tools/plugin_tool/tool.py
new file mode 100644
index 0000000000..f31a9a0d3e
--- /dev/null
+++ b/api/core/tools/plugin_tool/tool.py
@@ -0,0 +1,89 @@
+from collections.abc import Generator
+from typing import Any, Optional
+
+from core.plugin.manager.tool import PluginToolManager
+from core.plugin.utils.converter import convert_parameters_to_plugin_format
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType
+
+
+class PluginTool(Tool):
+    tenant_id: str
+    icon: str
+    plugin_unique_identifier: str
+    runtime_parameters: Optional[list[ToolParameter]]
+
+    def __init__(
+        self, entity: ToolEntity, runtime: ToolRuntime, tenant_id: str, icon: str, plugin_unique_identifier: str
+    ) -> None:
+        super().__init__(entity, runtime)
+        self.tenant_id = tenant_id
+        self.icon = icon
+        self.plugin_unique_identifier = plugin_unique_identifier
+        self.runtime_parameters = None
+
+    def tool_provider_type(self) -> ToolProviderType:
+        return ToolProviderType.PLUGIN
+
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
+        manager = PluginToolManager()
+
+        tool_parameters = convert_parameters_to_plugin_format(tool_parameters)
+
+        yield from manager.invoke(
+            tenant_id=self.tenant_id,
+            user_id=user_id,
+            tool_provider=self.entity.identity.provider,
+            tool_name=self.entity.identity.name,
+            credentials=self.runtime.credentials,
+            tool_parameters=tool_parameters,
+            conversation_id=conversation_id,
+            app_id=app_id,
+            message_id=message_id,
+        )
+
+    def fork_tool_runtime(self, runtime: ToolRuntime) -> "PluginTool":
+        return PluginTool(
+            entity=self.entity,
+            runtime=runtime,
+            tenant_id=self.tenant_id,
+            icon=self.icon,
+            plugin_unique_identifier=self.plugin_unique_identifier,
+        )
+
+    def get_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
+        """
+        get the runtime parameters
+        """
+        if not self.entity.has_runtime_parameters:
+            return self.entity.parameters
+
+        if self.runtime_parameters is not None:
+            return self.runtime_parameters
+
+        manager = PluginToolManager()
+        self.runtime_parameters = manager.get_runtime_parameters(
+            tenant_id=self.tenant_id,
+            user_id="",
+            provider=self.entity.identity.provider,
+            tool=self.entity.identity.name,
+            credentials=self.runtime.credentials,
+            conversation_id=conversation_id,
+            app_id=app_id,
+            message_id=message_id,
+        )
+
+        return self.runtime_parameters
diff --git a/api/core/tools/provider/_position.yaml b/api/core/tools/provider/_position.yaml
deleted file mode 100644
index 937fb40774..0000000000
--- a/api/core/tools/provider/_position.yaml
+++ /dev/null
@@ -1,81 +0,0 @@
-- google
-- bing
-- perplexity
-- duckduckgo
-- searchapi
-- serper
-- searxng
-- websearch
-- tavily
-- stackexchange
-- pubmed
-- arxiv
-- aws
-- nominatim
-- devdocs
-- spider
-- firecrawl
-- brave
-- crossref
-- jina
-- webscraper
-- dalle
-- azuredalle
-- stability
-- stablediffusion
-- cogview
-- comfyui
-- getimgai
-- siliconflow
-- spark
-- stepfun
-- xinference
-- alphavantage
-- yahoo
-- openweather
-- gaode
-- aippt
-- chart
-- youtube
-- did
-- dingtalk
-- discord
-- feishu
-- feishu_base
-- feishu_document
-- feishu_message
-- feishu_wiki
-- feishu_task
-- feishu_calendar
-- feishu_spreadsheet
-- lark_base
-- lark_document
-- lark_message_and_group
-- lark_wiki
-- lark_task
-- lark_calendar
-- lark_spreadsheet
-- slack
-- twilio
-- wecom
-- wikipedia
-- code
-- wolframalpha
-- maths
-- github
-- gitlab
-- time
-- vectorizer
-- qrcode
-- tianditu
-- aliyuque
-- google_translate
-- hap
-- json_process
-- judge0ce
-- novitaai
-- onebot
-- regex
-- trello
-- vanna
-- fal
diff --git a/api/core/tools/provider/app_tool_provider.py b/api/core/tools/provider/app_tool_provider.py
deleted file mode 100644
index fc29920acd..0000000000
--- a/api/core/tools/provider/app_tool_provider.py
+++ /dev/null
@@ -1,106 +0,0 @@
-import logging
-from typing import Any, Optional
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolParameter, ToolParameterOption, ToolProviderType
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.tool.api_tool import ApiTool
-from core.tools.tool.tool import Tool
-from extensions.ext_database import db
-from models.model import App, AppModelConfig
-from models.tools import PublishedAppTool
-
-logger = logging.getLogger(__name__)
-
-
-class AppToolProviderEntity(ToolProviderController):
-    @property
-    def provider_type(self) -> ToolProviderType:
-        return ToolProviderType.APP
-
-    def _validate_credentials(self, tool_name: str, credentials: dict[str, Any]) -> None:
-        pass
-
-    def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None:
-        pass
-
-    def get_tools(self, user_id: str = "", tenant_id: str = "") -> list[Tool]:
-        db_tools: list[PublishedAppTool] = (
-            db.session.query(PublishedAppTool)
-            .filter(
-                PublishedAppTool.user_id == user_id,
-            )
-            .all()
-        )
-
-        if not db_tools or len(db_tools) == 0:
-            return []
-
-        tools: list[Tool] = []
-
-        for db_tool in db_tools:
-            tool: dict[str, Any] = {
-                "identity": {
-                    "author": db_tool.author,
-                    "name": db_tool.tool_name,
-                    "label": {"en_US": db_tool.tool_name, "zh_Hans": db_tool.tool_name},
-                    "icon": "",
-                },
-                "description": {
-                    "human": {"en_US": db_tool.description_i18n.en_US, "zh_Hans": db_tool.description_i18n.zh_Hans},
-                    "llm": db_tool.llm_description,
-                },
-                "parameters": [],
-            }
-            # get app from db
-            app: Optional[App] = db_tool.app
-
-            if not app:
-                logger.error(f"app {db_tool.app_id} not found")
-                continue
-
-            app_model_config: AppModelConfig = app.app_model_config
-            user_input_form_list = app_model_config.user_input_form_list
-            for input_form in user_input_form_list:
-                # get type
-                form_type = list(input_form.keys())[0]
-                default = input_form[form_type]["default"]
-                required = input_form[form_type]["required"]
-                label = input_form[form_type]["label"]
-                variable_name = input_form[form_type]["variable_name"]
-                options = input_form[form_type].get("options", [])
-                if form_type in {"paragraph", "text-input"}:
-                    tool["parameters"].append(
-                        ToolParameter(
-                            name=variable_name,
-                            label=I18nObject(en_US=label, zh_Hans=label),
-                            human_description=I18nObject(en_US=label, zh_Hans=label),
-                            llm_description=label,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            type=ToolParameter.ToolParameterType.STRING,
-                            required=required,
-                            default=default,
-                            placeholder=I18nObject(en_US="", zh_Hans=""),
-                        )
-                    )
-                elif form_type == "select":
-                    tool["parameters"].append(
-                        ToolParameter(
-                            name=variable_name,
-                            label=I18nObject(en_US=label, zh_Hans=label),
-                            human_description=I18nObject(en_US=label, zh_Hans=label),
-                            llm_description=label,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            required=required,
-                            default=default,
-                            placeholder=I18nObject(en_US="", zh_Hans=""),
-                            options=[
-                                ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
-                                for option in options
-                            ],
-                        )
-                    )
-
-            tools.append(ApiTool(**tool))
-        return tools
diff --git a/api/core/tools/provider/builtin/__init__.py b/api/core/tools/provider/builtin/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/aippt/_assets/icon.png b/api/core/tools/provider/builtin/aippt/_assets/icon.png
deleted file mode 100644
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zfT5%{@%w>p(MAdTR>V3(<#S?cV^_vh5<u6xM@xOvv&lWaQ^W_t#3fX*Z+Ggq=GOrZ
zk^|sD2mk>f00e*l5C8%|00;m9AOHkVbpT)`ONq7G2(#DDi&Z96xcUFTgl9p2=SKvx
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diff --git a/api/core/tools/provider/builtin/aippt/aippt.py b/api/core/tools/provider/builtin/aippt/aippt.py
deleted file mode 100644
index e0cbbd2992..0000000000
--- a/api/core/tools/provider/builtin/aippt/aippt.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.aippt.tools.aippt import AIPPTGenerateTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class AIPPTProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            AIPPTGenerateTool._get_api_token(credentials, user_id="__dify_system__")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/aippt/aippt.yaml b/api/core/tools/provider/builtin/aippt/aippt.yaml
deleted file mode 100644
index 9b1b45d0f2..0000000000
--- a/api/core/tools/provider/builtin/aippt/aippt.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-identity:
-  author: Dify
-  name: aippt
-  label:
-    en_US: AIPPT
-    zh_Hans: AIPPT
-  description:
-    en_US: AI-generated PPT with one click, input your content topic, and let AI serve you one-stop
-    zh_Hans: AI一键生成PPT，输入你的内容主题，让AI为你一站式服务到底
-  icon: icon.png
-  tags:
-    - productivity
-    - design
-credentials_for_provider:
-  aippt_access_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: AIPPT API key
-      zh_Hans: AIPPT API key
-      pt_BR: AIPPT API key
-    help:
-      en_US: Please input your AIPPT API key
-      zh_Hans: 请输入你的 AIPPT API key
-      pt_BR: Please input your AIPPT API key
-    placeholder:
-      en_US: Please input your AIPPT API key
-      zh_Hans: 请输入你的 AIPPT API key
-      pt_BR: Please input your AIPPT API key
-    url: https://www.aippt.cn
-  aippt_secret_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: AIPPT Secret key
-      zh_Hans: AIPPT Secret key
-      pt_BR: AIPPT Secret key
-    help:
-      en_US: Please input your AIPPT Secret key
-      zh_Hans: 请输入你的 AIPPT Secret key
-      pt_BR: Please input your AIPPT Secret key
-    placeholder:
-      en_US: Please input your AIPPT Secret key
-      zh_Hans: 请输入你的 AIPPT Secret key
-      pt_BR: Please input your AIPPT Secret key
diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.py b/api/core/tools/provider/builtin/aippt/tools/aippt.py
deleted file mode 100644
index 0430a6654c..0000000000
--- a/api/core/tools/provider/builtin/aippt/tools/aippt.py
+++ /dev/null
@@ -1,524 +0,0 @@
-from base64 import b64encode
-from hashlib import sha1
-from hmac import new as hmac_new
-from json import loads as json_loads
-from threading import Lock
-from time import sleep, time
-from typing import Any, Union
-
-from httpx import get, post
-from requests import get as requests_get
-from yarl import URL
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AIPPTGenerateToolAdapter:
-    """
-    A tool for generating a ppt
-    """
-
-    _api_base_url = URL("https://co.aippt.cn/api")
-    _api_token_cache: dict[str, dict[str, Union[str, float]]] = {}
-    _style_cache: dict[str, dict[str, Union[list[dict[str, Any]], float]]] = {}
-
-    _api_token_cache_lock: Lock = Lock()
-    _style_cache_lock: Lock = Lock()
-
-    _task: dict[str, Any] = {}
-    _task_type_map = {
-        "auto": 1,
-        "markdown": 7,
-    }
-    _tool: BuiltinTool | None
-
-    def __init__(self, tool: BuiltinTool | None = None):
-        self._tool = tool
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invokes the AIPPT generate tool with the given user ID and tool parameters.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation,
-             which can be a single message or a list of messages.
-        """
-        title = tool_parameters.get("title", "")
-        if not title:
-            return self._tool.create_text_message("Please provide a title for the ppt")
-
-        model = tool_parameters.get("model", "aippt")
-        if not model:
-            return self._tool.create_text_message("Please provide a model for the ppt")
-
-        outline = tool_parameters.get("outline", "")
-
-        # create task
-        task_id = self._create_task(
-            type=self._task_type_map["auto" if not outline else "markdown"],
-            title=title,
-            content=outline,
-            user_id=user_id,
-        )
-
-        # get suit
-        color: str = tool_parameters.get("color", "")
-        style: str = tool_parameters.get("style", "")
-
-        if color == "__default__":
-            color_id = ""
-        else:
-            color_id = int(color.split("-")[1])
-
-        if style == "__default__":
-            style_id = ""
-        else:
-            style_id = int(style.split("-")[1])
-
-        suit_id = self._get_suit(style_id=style_id, colour_id=color_id)
-
-        # generate outline
-        if not outline:
-            self._generate_outline(task_id=task_id, model=model, user_id=user_id)
-
-            # generate content
-            self._generate_content(task_id=task_id, model=model, user_id=user_id)
-
-        # generate ppt
-        _, ppt_url = self._generate_ppt(task_id=task_id, suit_id=suit_id, user_id=user_id)
-
-        return self._tool.create_text_message(
-            """the ppt has been created successfully,"""
-            f"""the ppt url is {ppt_url} ."""
-            """please give the ppt url to user and direct user to download it."""
-        )
-
-    def _create_task(self, type: int, title: str, content: str, user_id: str) -> str:
-        """
-        Create a task
-
-        :param type: the task type
-        :param title: the task title
-        :param content: the task content
-
-        :return: the task ID
-        """
-        headers = {
-            "x-channel": "",
-            "x-api-key": self._tool.runtime.credentials["aippt_access_key"],
-            "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id),
-        }
-        response = post(
-            str(self._api_base_url / "ai" / "chat" / "v2" / "task"),
-            headers=headers,
-            files={"type": ("", str(type)), "title": ("", title), "content": ("", content)},
-        )
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        response = response.json()
-        if response.get("code") != 0:
-            raise Exception(f"Failed to create task: {response.get('msg')}")
-
-        return response.get("data", {}).get("id")
-
-    def _generate_outline(self, task_id: str, model: str, user_id: str) -> str:
-        api_url = (
-            self._api_base_url / "ai" / "chat" / "outline"
-            if model == "aippt"
-            else self._api_base_url / "ai" / "chat" / "wx" / "outline"
-        )
-        api_url %= {"task_id": task_id}
-
-        headers = {
-            "x-channel": "",
-            "x-api-key": self._tool.runtime.credentials["aippt_access_key"],
-            "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id),
-        }
-
-        response = requests_get(url=api_url, headers=headers, stream=True, timeout=(10, 60))
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        outline = ""
-        for chunk in response.iter_lines(delimiter=b"\n\n"):
-            if not chunk:
-                continue
-
-            event = ""
-            lines = chunk.decode("utf-8").split("\n")
-            for line in lines:
-                if line.startswith("event:"):
-                    event = line[6:]
-                elif line.startswith("data:"):
-                    data = line[5:]
-                    if event == "message":
-                        try:
-                            data = json_loads(data)
-                            outline += data.get("content", "")
-                        except Exception as e:
-                            pass
-                    elif event == "close":
-                        break
-                    elif event in {"error", "filter"}:
-                        raise Exception(f"Failed to generate outline: {data}")
-
-        return outline
-
-    def _generate_content(self, task_id: str, model: str, user_id: str) -> str:
-        api_url = (
-            self._api_base_url / "ai" / "chat" / "content"
-            if model == "aippt"
-            else self._api_base_url / "ai" / "chat" / "wx" / "content"
-        )
-        api_url %= {"task_id": task_id}
-
-        headers = {
-            "x-channel": "",
-            "x-api-key": self._tool.runtime.credentials["aippt_access_key"],
-            "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id),
-        }
-
-        response = requests_get(url=api_url, headers=headers, stream=True, timeout=(10, 60))
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        if model == "aippt":
-            content = ""
-            for chunk in response.iter_lines(delimiter=b"\n\n"):
-                if not chunk:
-                    continue
-
-                event = ""
-                lines = chunk.decode("utf-8").split("\n")
-                for line in lines:
-                    if line.startswith("event:"):
-                        event = line[6:]
-                    elif line.startswith("data:"):
-                        data = line[5:]
-                        if event == "message":
-                            try:
-                                data = json_loads(data)
-                                content += data.get("content", "")
-                            except Exception as e:
-                                pass
-                        elif event == "close":
-                            break
-                        elif event in {"error", "filter"}:
-                            raise Exception(f"Failed to generate content: {data}")
-
-            return content
-        elif model == "wenxin":
-            response = response.json()
-            if response.get("code") != 0:
-                raise Exception(f"Failed to generate content: {response.get('msg')}")
-
-            return response.get("data", "")
-
-        return ""
-
-    def _generate_ppt(self, task_id: str, suit_id: int, user_id: str) -> tuple[str, str]:
-        """
-        Generate a ppt
-
-        :param task_id: the task ID
-        :param suit_id: the suit ID
-        :return: the cover url of the ppt and the ppt url
-        """
-        headers = {
-            "x-channel": "",
-            "x-api-key": self._tool.runtime.credentials["aippt_access_key"],
-            "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id),
-        }
-
-        response = post(
-            str(self._api_base_url / "design" / "v2" / "save"),
-            headers=headers,
-            data={"task_id": task_id, "template_id": suit_id},
-            timeout=(10, 60),
-        )
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        response = response.json()
-        if response.get("code") != 0:
-            raise Exception(f"Failed to generate ppt: {response.get('msg')}")
-
-        id = response.get("data", {}).get("id")
-        cover_url = response.get("data", {}).get("cover_url")
-
-        response = post(
-            str(self._api_base_url / "download" / "export" / "file"),
-            headers=headers,
-            data={"id": id, "format": "ppt", "files_to_zip": False, "edit": True},
-        )
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        response = response.json()
-        if response.get("code") != 0:
-            raise Exception(f"Failed to generate ppt: {response.get('msg')}")
-
-        export_code = response.get("data")
-        if not export_code:
-            raise Exception("Failed to generate ppt, the export code is empty")
-
-        current_iteration = 0
-        while current_iteration < 50:
-            # get ppt url
-            response = post(
-                str(self._api_base_url / "download" / "export" / "file" / "result"),
-                headers=headers,
-                data={"task_key": export_code},
-            )
-
-            if response.status_code != 200:
-                raise Exception(f"Failed to connect to aippt: {response.text}")
-
-            response = response.json()
-            if response.get("code") != 0:
-                raise Exception(f"Failed to generate ppt: {response.get('msg')}")
-
-            if response.get("msg") == "导出中":
-                current_iteration += 1
-                sleep(2)
-                continue
-
-            ppt_url = response.get("data", [])
-            if len(ppt_url) == 0:
-                raise Exception("Failed to generate ppt, the ppt url is empty")
-
-            return cover_url, ppt_url[0]
-
-        raise Exception("Failed to generate ppt, the export is timeout")
-
-    @classmethod
-    def _get_api_token(cls, credentials: dict[str, str], user_id: str) -> str:
-        """
-        Get API token
-
-        :param credentials: the credentials
-        :return: the API token
-        """
-        access_key = credentials["aippt_access_key"]
-        secret_key = credentials["aippt_secret_key"]
-
-        cache_key = f"{access_key}#@#{user_id}"
-
-        with cls._api_token_cache_lock:
-            # clear expired tokens
-            now = time()
-            for key in list(cls._api_token_cache.keys()):
-                if cls._api_token_cache[key]["expire"] < now:
-                    del cls._api_token_cache[key]
-
-            if cache_key in cls._api_token_cache:
-                return cls._api_token_cache[cache_key]["token"]
-
-        # get token
-        headers = {
-            "x-api-key": access_key,
-            "x-timestamp": str(int(now)),
-            "x-signature": cls._calculate_sign(access_key, secret_key, int(now)),
-        }
-
-        param = {"uid": user_id, "channel": ""}
-
-        response = get(str(cls._api_base_url / "grant" / "token"), params=param, headers=headers)
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-        response = response.json()
-        if response.get("code") != 0:
-            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
-
-        token = response.get("data", {}).get("token")
-        expire = response.get("data", {}).get("time_expire")
-
-        with cls._api_token_cache_lock:
-            cls._api_token_cache[cache_key] = {"token": token, "expire": now + expire}
-
-        return token
-
-    @staticmethod
-    def _calculate_sign(access_key: str, secret_key: str, timestamp: int) -> str:
-        return b64encode(
-            hmac_new(
-                key=secret_key.encode("utf-8"),
-                msg=f"GET@/api/grant/token/@{timestamp}".encode(),
-                digestmod=sha1,
-            ).digest()
-        ).decode("utf-8")
-
-    @classmethod
-    def _get_styles(
-        cls, credentials: dict[str, str], user_id: str
-    ) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
-        """
-        Get styles
-        """
-
-        # check cache
-        with cls._style_cache_lock:
-            # clear expired styles
-            now = time()
-            for key in list(cls._style_cache.keys()):
-                if cls._style_cache[key]["expire"] < now:
-                    del cls._style_cache[key]
-
-            key = f"{credentials['aippt_access_key']}#@#{user_id}"
-            if key in cls._style_cache:
-                return cls._style_cache[key]["colors"], cls._style_cache[key]["styles"]
-
-        headers = {
-            "x-channel": "",
-            "x-api-key": credentials["aippt_access_key"],
-            "x-token": cls._get_api_token(credentials=credentials, user_id=user_id),
-        }
-        response = get(str(cls._api_base_url / "template_component" / "suit" / "select"), headers=headers)
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        response = response.json()
-
-        if response.get("code") != 0:
-            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
-
-        colors = [
-            {
-                "id": f"id-{item.get('id')}",
-                "name": item.get("name"),
-                "en_name": item.get("en_name", item.get("name")),
-            }
-            for item in response.get("data", {}).get("colour") or []
-        ]
-        styles = [
-            {
-                "id": f"id-{item.get('id')}",
-                "name": item.get("title"),
-            }
-            for item in response.get("data", {}).get("suit_style") or []
-        ]
-
-        with cls._style_cache_lock:
-            cls._style_cache[key] = {"colors": colors, "styles": styles, "expire": now + 60 * 60}
-
-        return colors, styles
-
-    def get_styles(self, user_id: str) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
-        """
-        Get styles
-
-        :param credentials: the credentials
-        :return: Tuple[list[dict[id, color]], list[dict[id, style]]
-        """
-        if not self._tool.runtime.credentials.get("aippt_access_key") or not self._tool.runtime.credentials.get(
-            "aippt_secret_key"
-        ):
-            raise Exception("Please provide aippt credentials")
-
-        return self._get_styles(credentials=self._tool.runtime.credentials, user_id=user_id)
-
-    def _get_suit(self, style_id: int, colour_id: int) -> int:
-        """
-        Get suit
-        """
-        headers = {
-            "x-channel": "",
-            "x-api-key": self._tool.runtime.credentials["aippt_access_key"],
-            "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id="__dify_system__"),
-        }
-        response = get(
-            str(self._api_base_url / "template_component" / "suit" / "search"),
-            headers=headers,
-            params={"style_id": style_id, "colour_id": colour_id, "page": 1, "page_size": 1},
-        )
-
-        if response.status_code != 200:
-            raise Exception(f"Failed to connect to aippt: {response.text}")
-
-        response = response.json()
-
-        if response.get("code") != 0:
-            raise Exception(f"Failed to connect to aippt: {response.get('msg')}")
-
-        if len(response.get("data", {}).get("list") or []) > 0:
-            return response.get("data", {}).get("list")[0].get("id")
-
-        raise Exception("Failed to get suit, the suit does not exist, please check the style and color")
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        """
-        Get runtime parameters
-
-        Override this method to add runtime parameters to the tool.
-        """
-        try:
-            colors, styles = self.get_styles(user_id="__dify_system__")
-        except Exception as e:
-            colors, styles = (
-                [{"id": "-1", "name": "__default__", "en_name": "__default__"}],
-                [{"id": "-1", "name": "__default__", "en_name": "__default__"}],
-            )
-
-        return [
-            ToolParameter(
-                name="color",
-                label=I18nObject(zh_Hans="颜色", en_US="Color"),
-                human_description=I18nObject(zh_Hans="颜色", en_US="Color"),
-                type=ToolParameter.ToolParameterType.SELECT,
-                form=ToolParameter.ToolParameterForm.FORM,
-                required=False,
-                default=colors[0]["id"],
-                options=[
-                    ToolParameterOption(
-                        value=color["id"], label=I18nObject(zh_Hans=color["name"], en_US=color["en_name"])
-                    )
-                    for color in colors
-                ],
-            ),
-            ToolParameter(
-                name="style",
-                label=I18nObject(zh_Hans="风格", en_US="Style"),
-                human_description=I18nObject(zh_Hans="风格", en_US="Style"),
-                type=ToolParameter.ToolParameterType.SELECT,
-                form=ToolParameter.ToolParameterForm.FORM,
-                required=False,
-                default=styles[0]["id"],
-                options=[
-                    ToolParameterOption(value=style["id"], label=I18nObject(zh_Hans=style["name"], en_US=style["name"]))
-                    for style in styles
-                ],
-            ),
-        ]
-
-
-class AIPPTGenerateTool(BuiltinTool):
-    def __init__(self, **kwargs: Any):
-        super().__init__(**kwargs)
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        return AIPPTGenerateToolAdapter(self)._invoke(user_id, tool_parameters)
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        return AIPPTGenerateToolAdapter(self).get_runtime_parameters()
-
-    @classmethod
-    def _get_api_token(cls, credentials: dict[str, str], user_id: str) -> str:
-        return AIPPTGenerateToolAdapter()._get_api_token(credentials, user_id)
diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.yaml b/api/core/tools/provider/builtin/aippt/tools/aippt.yaml
deleted file mode 100644
index d35798ad66..0000000000
--- a/api/core/tools/provider/builtin/aippt/tools/aippt.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-identity:
-  name: aippt
-  author: Dify
-  label:
-    en_US: AIPPT
-    zh_Hans: AIPPT
-description:
-  human:
-    en_US: AI-generated PPT with one click, input your content topic, and let AI serve you one-stop
-    zh_Hans: AI一键生成PPT，输入你的内容主题，让AI为你一站式服务到底
-  llm: A tool used to generate PPT with AI, input your content topic, and let AI generate PPT for you.
-parameters:
-  - name: title
-    type: string
-    required: true
-    label:
-      en_US: Title
-      zh_Hans: 标题
-    human_description:
-      en_US: The title of the PPT.
-      zh_Hans: PPT的标题。
-    llm_description: The title of the PPT, which will be used to generate the PPT outline.
-    form: llm
-  - name: outline
-    type: string
-    required: false
-    label:
-      en_US: Outline
-      zh_Hans: 大纲
-    human_description:
-      en_US: The outline of the PPT
-      zh_Hans: PPT的大纲
-    llm_description: The outline of the PPT, which will be used to generate the PPT content. provide it if you have.
-    form: llm
-  - name: llm
-    type: select
-    required: true
-    label:
-      en_US: LLM model
-      zh_Hans: 生成大纲的LLM
-    options:
-      - value: aippt
-        label:
-          en_US: AIPPT default model
-          zh_Hans: AIPPT默认模型
-      - value: wenxin
-        label:
-          en_US: Wenxin ErnieBot
-          zh_Hans: 文心一言
-    default: aippt
-    human_description:
-      en_US: The LLM model used for generating PPT outline.
-      zh_Hans: 用于生成PPT大纲的LLM模型。
-    form: form
diff --git a/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg b/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg
deleted file mode 100644
index 82b23ebbc6..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg
+++ /dev/null
@@ -1,32 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="26" height="26" viewBox="0 0 26 26" version="1.1">
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-            <mask id="mask-3" fill="white">
-                <use xlink:href="#path-2"/>
-            </mask>
-            <use id="蒙版" fill="url(#linearGradient-1)" xlink:href="#path-2"/>
-            <g id="编组" mask="url(#mask-3)">
-                <g transform="translate(3.770000, 5.460000)">
-                    <g id="路径" fill="none">
-                        <use fill="#E5FBEF" xlink:href="#path-5"/>
-                        <use fill-opacity="0.3" fill="url(#radialGradient-4)" xlink:href="#path-5"/>
-                    </g>
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-                </g>
-            </g>
-        </g>
-    </g>
-</svg>
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diff --git a/api/core/tools/provider/builtin/aliyuque/aliyuque.py b/api/core/tools/provider/builtin/aliyuque/aliyuque.py
deleted file mode 100644
index 56eac1a4b5..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/aliyuque.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class AliYuqueProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        token = credentials.get("token")
-        if not token:
-            raise ToolProviderCredentialValidationError("token is required")
-
-        try:
-            resp = AliYuqueTool.auth(token)
-            if resp and resp.get("data", {}).get("id"):
-                return
-
-            raise ToolProviderCredentialValidationError(resp)
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml b/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml
deleted file mode 100644
index 73d39aa96c..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-identity:
-  author: 佐井
-  name: aliyuque
-  label:
-    en_US: yuque
-    zh_Hans: 语雀
-    pt_BR: yuque
-  description:
-    en_US: Yuque, https://www.yuque.com.
-    zh_Hans: 语雀，https://www.yuque.com。
-    pt_BR: Yuque, https://www.yuque.com.
-  icon: icon.svg
-  tags:
-    - productivity
-    - search
-credentials_for_provider:
-  token:
-    type: secret-input
-    required: true
-    label:
-      en_US: Yuque Team Token
-      zh_Hans: 语雀团队Token
-    placeholder:
-      en_US: Please input your Yuque team token
-      zh_Hans: 请输入你的语雀团队Token
-    help:
-      en_US: Get Alibaba Yuque team token
-      zh_Hans: 先获取语雀团队Token
-    url: https://www.yuque.com/settings/tokens
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/base.py b/api/core/tools/provider/builtin/aliyuque/tools/base.py
deleted file mode 100644
index edfb9fea8e..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/base.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import Any
-
-import requests
-
-
-class AliYuqueTool:
-    # yuque service url
-    server_url = "https://www.yuque.com"
-
-    @staticmethod
-    def auth(token):
-        session = requests.Session()
-        session.headers.update({"Accept": "application/json", "X-Auth-Token": token})
-        login = session.request("GET", AliYuqueTool.server_url + "/api/v2/user")
-        login.raise_for_status()
-        resp = login.json()
-        return resp
-
-    def request(self, method: str, token, tool_parameters: dict[str, Any], path: str) -> str:
-        if not token:
-            raise Exception("token is required")
-        session = requests.Session()
-        session.headers.update({"accept": "application/json", "X-Auth-Token": token})
-        new_params = {**tool_parameters}
-
-        replacements = {k: v for k, v in new_params.items() if f"{{{k}}}" in path}
-
-        for key, value in replacements.items():
-            path = path.replace(f"{{{key}}}", str(value))
-            del new_params[key]
-
-        if method.upper() in {"POST", "PUT"}:
-            session.headers.update(
-                {
-                    "Content-Type": "application/json",
-                }
-            )
-            response = session.request(method.upper(), self.server_url + path, json=new_params)
-        else:
-            response = session.request(method, self.server_url + path, params=new_params)
-        response.raise_for_status()
-        return response.text
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/create_document.py b/api/core/tools/provider/builtin/aliyuque/tools/create_document.py
deleted file mode 100644
index 01080fd1d5..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/create_document.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueCreateDocumentTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(self.request("POST", token, tool_parameters, "/api/v2/repos/{book_id}/docs"))
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml
deleted file mode 100644
index 6ac8ae6696..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml
+++ /dev/null
@@ -1,99 +0,0 @@
-identity:
-  name: aliyuque_create_document
-  author: 佐井
-  label:
-    en_US: Create Document
-    zh_Hans: 创建文档
-  icon: icon.svg
-description:
-  human:
-    en_US: Creates a new document within a knowledge base without automatic addition to the table of contents. Requires a subsequent call to the "knowledge base directory update API". Supports setting visibility, format, and content. # 接口英文描述
-    zh_Hans: 在知识库中创建新文档，但不会自动加入目录，需额外调用“知识库目录更新接口”。允许设置公开性、格式及正文内容。
-  llm: Creates docs in a KB.
-
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Knowledge Base ID
-      zh_Hans: 知识库ID
-    human_description:
-      en_US: The unique identifier of the knowledge base where the document will be created.
-      zh_Hans: 文档将被创建的知识库的唯一标识。
-    llm_description: ID of the target knowledge base.
-
-  - name: title
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Title
-      zh_Hans: 标题
-    human_description:
-      en_US: The title of the document, defaults to 'Untitled' if not provided.
-      zh_Hans: 文档标题，默认为'无标题'如未提供。
-    llm_description: Title of the document, defaults to 'Untitled'.
-
-  - name: public
-    type: select
-    required: false
-    form: llm
-    options:
-      - value: 0
-        label:
-          en_US: Private
-          zh_Hans: 私密
-      - value: 1
-        label:
-          en_US: Public
-          zh_Hans: 公开
-      - value: 2
-        label:
-          en_US: Enterprise-only
-          zh_Hans: 企业内公开
-    label:
-      en_US: Visibility
-      zh_Hans: 公开性
-    human_description:
-      en_US: Document visibility (0 Private, 1 Public, 2 Enterprise-only).
-      zh_Hans: 文档可见性（0 私密, 1 公开, 2 企业内公开）。
-    llm_description: Doc visibility options, 0-private, 1-public, 2-enterprise.
-
-  - name: format
-    type: select
-    required: false
-    form: llm
-    options:
-      - value: markdown
-        label:
-          en_US: markdown
-          zh_Hans: markdown
-      - value: html
-        label:
-          en_US: html
-          zh_Hans: html
-      - value: lake
-        label:
-          en_US: lake
-          zh_Hans: lake
-    label:
-      en_US: Content Format
-      zh_Hans: 内容格式
-    human_description:
-      en_US: Format of the document content (markdown, HTML, Lake).
-      zh_Hans: 文档内容格式（markdown, HTML, Lake）。
-    llm_description: Content format choices, markdown, HTML, Lake.
-
-  - name: body
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Body Content
-      zh_Hans: 正文内容
-    human_description:
-      en_US: The actual content of the document.
-      zh_Hans: 文档的实际内容。
-    llm_description: Content of the document.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py b/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py
deleted file mode 100644
index 84237cec30..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueDeleteDocumentTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(
-            self.request("DELETE", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}")
-        )
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml
deleted file mode 100644
index dddd62d304..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-identity:
-  name: aliyuque_delete_document
-  author: 佐井
-  label:
-    en_US: Delete Document
-    zh_Hans: 删除文档
-  icon: icon.svg
-description:
-  human:
-    en_US: Delete Document
-    zh_Hans: 根据id删除文档
-  llm: Delete document.
-
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Knowledge Base ID
-      zh_Hans: 知识库ID
-    human_description:
-      en_US: The unique identifier of the knowledge base where the document will be created.
-      zh_Hans: 文档将被创建的知识库的唯一标识。
-    llm_description: ID of the target knowledge base.
-
-  - name: id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Document ID or Path
-      zh_Hans: 文档 ID or 路径
-    human_description:
-      en_US: Document ID or path.
-      zh_Hans: 文档 ID or 路径。
-    llm_description: Document ID or path.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py
deleted file mode 100644
index c23d30059a..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueDescribeBookIndexPageTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(
-            self.request("GET", token, tool_parameters, "/api/v2/repos/{group_login}/{book_slug}/index_page")
-        )
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml
deleted file mode 100644
index 5e490725d1..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: aliyuque_describe_book_index_page
-  author: 佐井
-  label:
-    en_US: Get Repo Index Page
-    zh_Hans: 获取知识库首页
-  icon: icon.svg
-
-description:
-  human:
-    en_US: Retrieves the homepage of a knowledge base within a group, supporting both book ID and group login with book slug access.
-    zh_Hans: 获取团队中知识库的首页信息，可通过书籍ID或团队登录名与书籍路径访问。
-  llm: Fetches the knowledge base homepage using group and book identifiers with support for alternate access paths.
-
-parameters:
-  - name: group_login
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Group Login
-      zh_Hans: 团队登录名
-    human_description:
-      en_US: The login name of the group that owns the knowledge base.
-      zh_Hans: 拥有该知识库的团队登录名。
-    llm_description: Team login identifier for the knowledge base owner.
-
-  - name: book_slug
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Book Slug
-      zh_Hans: 知识库路径
-    human_description:
-      en_US: The unique slug representing the path of the knowledge base.
-      zh_Hans: 知识库的唯一路径标识。
-    llm_description: Unique path identifier for the knowledge base.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py
deleted file mode 100644
index 36f8c10d6f..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YuqueDescribeBookTableOfContentsTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> (Union)[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(self.request("GET", token, tool_parameters, "/api/v2/repos/{book_id}/toc"))
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml
deleted file mode 100644
index 0a481b59eb..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-identity:
-  name: aliyuque_describe_book_table_of_contents
-  author: 佐井
-  label:
-    en_US: Get Book's Table of Contents
-    zh_Hans: 获取知识库的目录
-  icon: icon.svg
-description:
-  human:
-    en_US: Get Book's Table of Contents.
-    zh_Hans: 获取知识库的目录。
-  llm: Get Book's Table of Contents.
-
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Book ID
-      zh_Hans: 知识库 ID
-    human_description:
-      en_US: Book ID.
-      zh_Hans: 知识库 ID。
-    llm_description: Book ID.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py
deleted file mode 100644
index a69bf121f7..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import json
-from typing import Any, Union
-from urllib.parse import urlparse
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueDescribeDocumentContentTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        new_params = {**tool_parameters}
-        token = new_params.pop("token")
-        if not token or token.lower() == "none":
-            token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        new_params = {**tool_parameters}
-        url = new_params.pop("url")
-        if not url or not url.startswith("http"):
-            raise Exception("url is not valid")
-
-        parsed_url = urlparse(url)
-        path_parts = parsed_url.path.strip("/").split("/")
-        if len(path_parts) < 3:
-            raise Exception("url is not correct")
-        doc_id = path_parts[-1]
-        book_slug = path_parts[-2]
-        group_id = path_parts[-3]
-
-        new_params["group_login"] = group_id
-        new_params["book_slug"] = book_slug
-        index_page = json.loads(
-            self.request("GET", token, new_params, "/api/v2/repos/{group_login}/{book_slug}/index_page")
-        )
-        book_id = index_page.get("data", {}).get("book", {}).get("id")
-        if not book_id:
-            raise Exception(f"can not parse book_id from {index_page}")
-
-        new_params["book_id"] = book_id
-        new_params["id"] = doc_id
-        data = self.request("GET", token, new_params, "/api/v2/repos/{book_id}/docs/{id}")
-        data = json.loads(data)
-        body_only = tool_parameters.get("body_only") or ""
-        if body_only.lower() == "true":
-            return self.create_text_message(data.get("data").get("body"))
-        else:
-            raw = data.get("data")
-            del raw["body_lake"]
-            del raw["body_html"]
-            return self.create_text_message(json.dumps(data))
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml
deleted file mode 100644
index 6116886a96..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml
+++ /dev/null
@@ -1,50 +0,0 @@
-identity:
-  name: aliyuque_describe_document_content
-  author: 佐井
-  label:
-    en_US: Fetch Document Content
-    zh_Hans: 获取文档内容
-  icon: icon.svg
-
-description:
-  human:
-    en_US: Retrieves document content from Yuque based on the provided document URL, which can be a normal or shared link.
-    zh_Hans: 根据提供的语雀文档地址（支持正常链接或分享链接）获取文档内容。
-  llm: Fetches Yuque document content given a URL.
-
-parameters:
-  - name: url
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Document URL
-      zh_Hans: 文档地址
-    human_description:
-      en_US: The URL of the document to retrieve content from, can be normal or shared.
-      zh_Hans: 需要获取内容的文档地址，可以是正常链接或分享链接。
-    llm_description: URL of the Yuque document to fetch content.
-
-  - name: body_only
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: return body content only
-      zh_Hans: 仅返回body内容
-    human_description:
-      en_US: true:Body content only, false:Full response with metadata.
-      zh_Hans: true:仅返回body内容，不返回其他元数据，false:返回所有元数据。
-    llm_description: true:Body content only, false:Full response with metadata.
-
-  - name: token
-    type: secret-input
-    required: false
-    form: llm
-    label:
-      en_US: Yuque API Token
-      zh_Hans: 语雀接口Token
-    human_description:
-      en_US: The token for calling the Yuque API defaults to the Yuque token bound to the current tool if not provided.
-      zh_Hans: 调用语雀接口的token，如果不传则默认为当前工具绑定的语雀Token。
-    llm_description: If the token for calling the Yuque API is not provided, it will default to the Yuque token bound to the current tool.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py
deleted file mode 100644
index 7a45684bed..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueDescribeDocumentsTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(
-            self.request("GET", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}")
-        )
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml
deleted file mode 100644
index 0b14c1afba..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: aliyuque_describe_documents
-  author: 佐井
-  label:
-    en_US: Get Doc Detail
-    zh_Hans: 获取文档详情
-  icon: icon.svg
-
-description:
-  human:
-    en_US: Retrieves detailed information of a specific document identified by its ID or path within a knowledge base.
-    zh_Hans: 根据知识库ID和文档ID或路径获取文档详细信息。
-  llm: Fetches detailed doc info using ID/path from a knowledge base; supports doc lookup in Yuque.
-
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Knowledge Base ID
-      zh_Hans: 知识库 ID
-    human_description:
-      en_US: Identifier for the knowledge base where the document resides.
-      zh_Hans: 文档所属知识库的唯一标识。
-    llm_description: ID of the knowledge base holding the document.
-
-  - name: id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Document ID or Path
-      zh_Hans: 文档 ID 或路径
-    human_description:
-      en_US: The unique identifier or path of the document to retrieve.
-      zh_Hans: 需要获取的文档的ID或其在知识库中的路径。
-    llm_description: Unique doc ID or its path for retrieval.
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py b/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py
deleted file mode 100644
index ca0a3909f8..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YuqueDescribeBookTableOfContentsTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> (Union)[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-
-        doc_ids = tool_parameters.get("doc_ids")
-        if doc_ids:
-            doc_ids = [int(doc_id.strip()) for doc_id in doc_ids.split(",")]
-            tool_parameters["doc_ids"] = doc_ids
-
-        return self.create_text_message(self.request("PUT", token, tool_parameters, "/api/v2/repos/{book_id}/toc"))
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml
deleted file mode 100644
index f85970348b..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml
+++ /dev/null
@@ -1,222 +0,0 @@
-identity:
-  name: aliyuque_update_book_table_of_contents
-  author: 佐井
-  label:
-    en_US: Update Book's Table of Contents
-    zh_Hans: 更新知识库目录
-  icon: icon.svg
-description:
-  human:
-    en_US: Update Book's Table of Contents.
-    zh_Hans: 更新知识库目录。
-  llm: Update Book's Table of Contents.
-
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Book ID
-      zh_Hans: 知识库 ID
-    human_description:
-      en_US: Book ID.
-      zh_Hans: 知识库 ID。
-    llm_description: Book ID.
-
-  - name: action
-    type: select
-    required: true
-    form: llm
-    options:
-      - value: appendNode
-        label:
-          en_US: appendNode
-          zh_Hans: appendNode
-          pt_BR: appendNode
-      - value: prependNode
-        label:
-          en_US: prependNode
-          zh_Hans: prependNode
-          pt_BR: prependNode
-      - value: editNode
-        label:
-          en_US: editNode
-          zh_Hans: editNode
-          pt_BR: editNode
-      - value: editNode
-        label:
-          en_US: removeNode
-          zh_Hans: removeNode
-          pt_BR: removeNode
-    label:
-      en_US: Action Type
-      zh_Hans: 操作
-    human_description:
-      en_US: In the operation scenario, sibling node prepending is not supported, deleting a node doesn't remove associated documents, and node deletion has two modes, 'sibling' (delete current node) and 'child' (delete current node and its children).
-      zh_Hans: 操作，创建场景下不支持同级头插 prependNode，删除节点不会删除关联文档，删除节点时action_mode=sibling (删除当前节点), action_mode=child (删除当前节点及子节点)
-    llm_description: In the operation scenario, sibling node prepending is not supported, deleting a node doesn't remove associated documents, and node deletion has two modes, 'sibling' (delete current node) and 'child' (delete current node and its children).
-
-
-  - name: action_mode
-    type: select
-    required: false
-    form: llm
-    options:
-      - value: sibling
-        label:
-          en_US: sibling
-          zh_Hans: 同级
-          pt_BR: sibling
-      - value: child
-        label:
-          en_US: child
-          zh_Hans: 子集
-          pt_BR: child
-    label:
-      en_US: Action Type
-      zh_Hans: 操作
-    human_description:
-      en_US: Operation mode (sibling:same level, child:child level).
-      zh_Hans: 操作模式 (sibling:同级, child:子级)。
-    llm_description: Operation mode (sibling:same level, child:child level).
-
-  - name: target_uuid
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Target node UUID
-      zh_Hans: 目标节点 UUID
-    human_description:
-      en_US: Target node UUID, defaults to root node if left empty.
-      zh_Hans: 目标节点 UUID, 不填默认为根节点。
-    llm_description: Target node UUID, defaults to root node if left empty.
-
-  - name: node_uuid
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Node UUID
-      zh_Hans: 操作节点 UUID
-    human_description:
-      en_US: Operation node UUID [required for move/update/delete].
-      zh_Hans: 操作节点 UUID [移动/更新/删除必填]。
-    llm_description: Operation node UUID [required for move/update/delete].
-
-  - name: doc_ids
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Document IDs
-      zh_Hans: 文档id列表
-    human_description:
-      en_US: Document IDs [required for creating documents], separate multiple IDs with ','.
-      zh_Hans: 文档 IDs [创建文档必填]，多个用','分隔。
-    llm_description: Document IDs [required for creating documents], separate multiple IDs with ','.
-
-
-  - name: type
-    type: select
-    required: false
-    form: llm
-    default: DOC
-    options:
-      - value: DOC
-        label:
-          en_US: DOC
-          zh_Hans: 文档
-          pt_BR: DOC
-      - value: LINK
-        label:
-          en_US: LINK
-          zh_Hans: 链接
-          pt_BR: LINK
-      - value: TITLE
-        label:
-          en_US: TITLE
-          zh_Hans: 分组
-          pt_BR: TITLE
-    label:
-      en_US: Node type
-      zh_Hans: 操节点类型
-    human_description:
-      en_US: Node type [required for creation] (DOC:document, LINK:external link, TITLE:group).
-      zh_Hans: 操节点类型 [创建必填] (DOC:文档, LINK:外链, TITLE:分组)。
-    llm_description: Node type [required for creation] (DOC:document, LINK:external link, TITLE:group).
-
-  - name: title
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Node Name
-      zh_Hans: 节点名称
-    human_description:
-      en_US: Node name [required for creating groups/external links].
-      zh_Hans: 节点名称 [创建分组/外链必填]。
-    llm_description: Node name [required for creating groups/external links].
-
-  - name: url
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Node URL
-      zh_Hans: 节点URL
-    human_description:
-      en_US: Node URL [required for creating external links].
-      zh_Hans: 节点 URL [创建外链必填]。
-    llm_description: Node URL [required for creating external links].
-
-
-  - name: open_window
-    type: select
-    required: false
-    form: llm
-    default: 0
-    options:
-      - value: 0
-        label:
-          en_US: DOC
-          zh_Hans: Current Page
-          pt_BR: DOC
-      - value: 1
-        label:
-          en_US: LINK
-          zh_Hans: New Page
-          pt_BR: LINK
-    label:
-      en_US: Open in new window
-      zh_Hans: 是否新窗口打开
-    human_description:
-      en_US: Open in new window [optional for external links] (0:open in current page, 1:open in new window).
-      zh_Hans: 是否新窗口打开 [外链选填] (0:当前页打开, 1:新窗口打开)。
-    llm_description: Open in new window [optional for external links] (0:open in current page, 1:open in new window).
-
-
-  - name: visible
-    type: select
-    required: false
-    form: llm
-    default: 1
-    options:
-      - value: 0
-        label:
-          en_US: Invisible
-          zh_Hans: 隐藏
-          pt_BR: Invisible
-      - value: 1
-        label:
-          en_US: Visible
-          zh_Hans: 可见
-          pt_BR: Visible
-    label:
-      en_US: Visibility
-      zh_Hans: 是否可见
-    human_description:
-      en_US: Visibility (0:invisible, 1:visible).
-      zh_Hans: 是否可见 (0:不可见, 1:可见)。
-    llm_description: Visibility (0:invisible, 1:visible).
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_document.py b/api/core/tools/provider/builtin/aliyuque/tools/update_document.py
deleted file mode 100644
index d7eba46ad9..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/update_document.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AliYuqueUpdateDocumentTool(AliYuqueTool, BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        token = self.runtime.credentials.get("token", None)
-        if not token:
-            raise Exception("token is required")
-        return self.create_text_message(
-            self.request("PUT", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}")
-        )
diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml
deleted file mode 100644
index c2da6b179a..0000000000
--- a/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-identity:
-  name: aliyuque_update_document
-  author: 佐井
-  label:
-    en_US: Update Document
-    zh_Hans: 更新文档
-  icon: icon.svg
-description:
-  human:
-    en_US: Update an existing document within a specified knowledge base by providing the document ID or path.
-    zh_Hans: 通过提供文档ID或路径，更新指定知识库中的现有文档。
-  llm: Update doc in a knowledge base via ID/path.
-parameters:
-  - name: book_id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Knowledge Base ID
-      zh_Hans: 知识库 ID
-    human_description:
-      en_US: The unique identifier of the knowledge base where the document resides.
-      zh_Hans: 文档所属知识库的ID。
-    llm_description: ID of the knowledge base holding the doc.
-  - name: id
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Document ID or Path
-      zh_Hans: 文档 ID 或 路径
-    human_description:
-      en_US: The unique identifier or the path of the document to be updated.
-      zh_Hans: 要更新的文档的唯一ID或路径。
-    llm_description: Doc's ID or path for update.
-
-  - name: title
-    type: string
-    required: false
-    form: llm
-    label:
-      en_US: Title
-      zh_Hans: 标题
-    human_description:
-      en_US: The title of the document, defaults to 'Untitled' if not provided.
-      zh_Hans: 文档标题，默认为'无标题'如未提供。
-    llm_description: Title of the document, defaults to 'Untitled'.
-
-  - name: format
-    type: select
-    required: false
-    form: llm
-    options:
-      - value: markdown
-        label:
-          en_US: markdown
-          zh_Hans: markdown
-          pt_BR: markdown
-      - value: html
-        label:
-          en_US: html
-          zh_Hans: html
-          pt_BR: html
-      - value: lake
-        label:
-          en_US: lake
-          zh_Hans: lake
-          pt_BR: lake
-    label:
-      en_US: Content Format
-      zh_Hans: 内容格式
-    human_description:
-      en_US: Format of the document content (markdown, HTML, Lake).
-      zh_Hans: 文档内容格式（markdown, HTML, Lake）。
-    llm_description: Content format choices, markdown, HTML, Lake.
-
-  - name: body
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Body Content
-      zh_Hans: 正文内容
-    human_description:
-      en_US: The actual content of the document.
-      zh_Hans: 文档的实际内容。
-    llm_description: Content of the document.
diff --git a/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg b/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg
deleted file mode 100644
index 785432943b..0000000000
--- a/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg width="56px" height="56px" viewBox="0 0 56 56" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-    <title>形状结合</title>
-    <g id="设计规范" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
-        <path d="M56,0 L56,56 L0,56 L0,0 L56,0 Z M31.6063018,12 L24.3936982,12 L24.1061064,12.7425499 L12.6071308,42.4324141 L12,44 L19.7849972,44 L20.0648488,43.2391815 L22.5196173,36.5567427 L33.4780427,36.5567427 L35.9351512,43.2391815 L36.2150028,44 L44,44 L43.3928692,42.4324141 L31.8938936,12.7425499 L31.6063018,12 Z M28.0163803,21.5755126 L31.1613993,30.2523823 L24.8432808,30.2523823 L28.0163803,21.5755126 Z" id="形状结合" fill="#2F4F4F"></path>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.py b/api/core/tools/provider/builtin/alphavantage/alphavantage.py
deleted file mode 100644
index a84630e5aa..0000000000
--- a/api/core/tools/provider/builtin/alphavantage/alphavantage.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.alphavantage.tools.query_stock import QueryStockTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class AlphaVantageProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            QueryStockTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "code": "AAPL",  # Apple Inc.
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml b/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml
deleted file mode 100644
index 710510cfd8..0000000000
--- a/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: zhuhao
-  name: alphavantage
-  label:
-    en_US: AlphaVantage
-    zh_Hans: AlphaVantage
-    pt_BR: AlphaVantage
-  description:
-    en_US: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis.
-    zh_Hans: AlphaVantage是一个在线平台，它提供金融市场数据和API，便于个人投资者和开发者获取股票报价、技术指标和股票分析。
-    pt_BR: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis.
-  icon: icon.svg
-  tags:
-    - finance
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: AlphaVantage API key
-      zh_Hans: AlphaVantage API key
-      pt_BR: AlphaVantage API key
-    placeholder:
-      en_US: Please input your AlphaVantage API key
-      zh_Hans: 请输入你的 AlphaVantage API key
-      pt_BR: Please input your AlphaVantage API key
-    help:
-      en_US: Get your AlphaVantage API key from AlphaVantage
-      zh_Hans: 从 AlphaVantage 获取您的 AlphaVantage API key
-      pt_BR: Get your AlphaVantage API key from AlphaVantage
-    url: https://www.alphavantage.co/support/#api-key
diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py
deleted file mode 100644
index d06611acd0..0000000000
--- a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-ALPHAVANTAGE_API_URL = "https://www.alphavantage.co/query"
-
-
-class QueryStockTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        stock_code = tool_parameters.get("code", "")
-        if not stock_code:
-            return self.create_text_message("Please tell me your stock code")
-
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            return self.create_text_message("Alpha Vantage API key is required.")
-
-        params = {
-            "function": "TIME_SERIES_DAILY",
-            "symbol": stock_code,
-            "outputsize": "compact",
-            "datatype": "json",
-            "apikey": self.runtime.credentials["api_key"],
-        }
-        response = requests.get(url=ALPHAVANTAGE_API_URL, params=params)
-        response.raise_for_status()
-        result = self._handle_response(response.json())
-        return self.create_json_message(result)
-
-    def _handle_response(self, response: dict[str, Any]) -> dict[str, Any]:
-        result = response.get("Time Series (Daily)", {})
-        if not result:
-            return {}
-        stock_result = {}
-        for k, v in result.items():
-            stock_result[k] = {}
-            stock_result[k]["open"] = v.get("1. open")
-            stock_result[k]["high"] = v.get("2. high")
-            stock_result[k]["low"] = v.get("3. low")
-            stock_result[k]["close"] = v.get("4. close")
-            stock_result[k]["volume"] = v.get("5. volume")
-        return stock_result
diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml
deleted file mode 100644
index d89f34e373..0000000000
--- a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: query_stock
-  author: zhuhao
-  label:
-    en_US: query_stock
-    zh_Hans: query_stock
-    pt_BR: query_stock
-description:
-  human:
-    en_US: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol.
-    zh_Hans: 获取指定股票代码的每日开盘价、每日最高价、每日最低价、每日收盘价和每日交易量等信息。
-    pt_BR: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol
-  llm: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol
-parameters:
-  - name: code
-    type: string
-    required: true
-    label:
-      en_US: stock code
-      zh_Hans: 股票代码
-      pt_BR: stock code
-    human_description:
-      en_US: stock code
-      zh_Hans: 股票代码
-      pt_BR: stock code
-    llm_description: stock code for query from alphavantage
-    form: llm
diff --git a/api/core/tools/provider/builtin/arxiv/_assets/icon.svg b/api/core/tools/provider/builtin/arxiv/_assets/icon.svg
deleted file mode 100644
index 0e60f63573..0000000000
--- a/api/core/tools/provider/builtin/arxiv/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg id="logomark" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 17.732 24.269"><g id="tiny"><path d="M573.549,280.916l2.266,2.738,6.674-7.84c.353-.47.52-.717.353-1.117a1.218,1.218,0,0,0-1.061-.748h0a.953.953,0,0,0-.712.262Z" transform="translate(-566.984 -271.548)" fill="#bdb9b4"/><path d="M579.525,282.225l-10.606-10.174a1.413,1.413,0,0,0-.834-.5,1.09,1.09,0,0,0-1.027.66c-.167.4-.047.681.319,1.206l8.44,10.242h0l-6.282,7.716a1.336,1.336,0,0,0-.323,1.3,1.114,1.114,0,0,0,1.04.69A.992.992,0,0,0,571,293l8.519-7.92A1.924,1.924,0,0,0,579.525,282.225Z" transform="translate(-566.984 -271.548)" fill="#b31b1b"/><path d="M584.32,293.912l-8.525-10.275,0,0L573.53,280.9l-1.389,1.254a2.063,2.063,0,0,0,0,2.965l10.812,10.419a.925.925,0,0,0,.742.282,1.039,1.039,0,0,0,.953-.667A1.261,1.261,0,0,0,584.32,293.912Z" transform="translate(-566.984 -271.548)" fill="#bdb9b4"/></g></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/arxiv/arxiv.py b/api/core/tools/provider/builtin/arxiv/arxiv.py
deleted file mode 100644
index ebb2d1a8c4..0000000000
--- a/api/core/tools/provider/builtin/arxiv/arxiv.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.arxiv.tools.arxiv_search import ArxivSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class ArxivProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            ArxivSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "John Doe",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/arxiv/arxiv.yaml b/api/core/tools/provider/builtin/arxiv/arxiv.yaml
deleted file mode 100644
index 25aec97bb7..0000000000
--- a/api/core/tools/provider/builtin/arxiv/arxiv.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
-identity:
-  author: Yash Parmar
-  name: arxiv
-  label:
-    en_US: ArXiv
-    zh_Hans: ArXiv
-    ja_JP: ArXiv
-  description:
-    en_US: Access to a vast repository of scientific papers and articles in various fields of research.
-    zh_Hans: 访问各个研究领域大量科学论文和文章的存储库。
-    ja_JP: 多様な研究分野の科学論文や記事の膨大なリポジトリへのアクセス。
-  icon: icon.svg
-  tags:
-    - search
diff --git a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py
deleted file mode 100644
index 8bd16050ec..0000000000
--- a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import logging
-from typing import Any, Optional
-
-import arxiv  # type: ignore
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logger = logging.getLogger(__name__)
-
-
-class ArxivAPIWrapper(BaseModel):
-    """Wrapper around ArxivAPI.
-
-    To use, you should have the ``arxiv`` python package installed.
-    https://lukasschwab.me/arxiv.py/index.html
-    This wrapper will use the Arxiv API to conduct searches and
-    fetch document summaries. By default, it will return the document summaries
-    of the top-k results.
-    It limits the Document content by doc_content_chars_max.
-    Set doc_content_chars_max=None if you don't want to limit the content size.
-
-    Args:
-        top_k_results: number of the top-scored document used for the arxiv tool
-        ARXIV_MAX_QUERY_LENGTH: the cut limit on the query used for the arxiv tool.
-        load_max_docs: a limit to the number of loaded documents
-        load_all_available_meta:
-            if True: the `metadata` of the loaded Documents contains all available
-            meta info (see https://lukasschwab.me/arxiv.py/index.html#Result),
-            if False: the `metadata` contains only the published date, title,
-            authors and summary.
-        doc_content_chars_max: an optional cut limit for the length of a document's
-            content
-
-    Example:
-        .. code-block:: python
-
-            arxiv = ArxivAPIWrapper(
-                top_k_results = 3,
-                ARXIV_MAX_QUERY_LENGTH = 300,
-                load_max_docs = 3,
-                load_all_available_meta = False,
-                doc_content_chars_max = 40000
-            )
-            arxiv.run("tree of thought llm)
-    """
-
-    arxiv_search: type[arxiv.Search] = arxiv.Search  #: :meta private:
-    arxiv_http_error: tuple[type[Exception]] = (arxiv.ArxivError, arxiv.UnexpectedEmptyPageError, arxiv.HTTPError)
-    top_k_results: int = 3
-    ARXIV_MAX_QUERY_LENGTH: int = 300
-    load_max_docs: int = 100
-    load_all_available_meta: bool = False
-    doc_content_chars_max: Optional[int] = 4000
-
-    def run(self, query: str) -> str:
-        """
-        Performs an arxiv search and A single string
-        with the publish date, title, authors, and summary
-        for each article separated by two newlines.
-
-        If an error occurs or no documents found, error text
-        is returned instead. Wrapper for
-        https://lukasschwab.me/arxiv.py/index.html#Search
-
-        Args:
-            query: a plaintext search query
-        """
-        try:
-            results = self.arxiv_search(  # type: ignore
-                query[: self.ARXIV_MAX_QUERY_LENGTH], max_results=self.top_k_results
-            ).results()
-        except arxiv_http_error as ex:
-            return f"Arxiv exception: {ex}"
-        docs = [
-            f"Published: {result.updated.date()}\n"
-            f"Title: {result.title}\n"
-            f"Authors: {', '.join(a.name for a in result.authors)}\n"
-            f"Summary: {result.summary}"
-            for result in results
-        ]
-        if docs:
-            return "\n\n".join(docs)[: self.doc_content_chars_max]
-        else:
-            return "No good Arxiv Result was found"
-
-
-class ArxivSearchInput(BaseModel):
-    query: str = Field(..., description="Search query.")
-
-
-class ArxivSearchTool(BuiltinTool):
-    """
-    A tool for searching articles on Arxiv.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invokes the Arxiv search tool with the given user ID and tool parameters.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool, including the 'query' parameter.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation,
-             which can be a single message or a list of messages.
-        """
-        query = tool_parameters.get("query", "")
-
-        if not query:
-            return self.create_text_message("Please input query")
-
-        arxiv = ArxivAPIWrapper()
-
-        response = arxiv.run(query)
-
-        return self.create_text_message(self.summary(user_id=user_id, content=response))
diff --git a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml
deleted file mode 100644
index afc1925df3..0000000000
--- a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: arxiv_search
-  author: Yash Parmar
-  label:
-    en_US: Arxiv Search
-    zh_Hans: Arxiv 搜索
-    ja_JP: Arxiv 検索
-description:
-  human:
-    en_US: A tool for searching scientific papers and articles from the Arxiv repository. Input can be an Arxiv ID or an author's name.
-    zh_Hans: 一个用于从Arxiv存储库搜索科学论文和文章的工具。 输入可以是Arxiv ID或作者姓名。
-    ja_JP: Arxivリポジトリから科学論文や記事を検索するためのツールです。入力はArxiv IDまたは著者名にすることができます。
-  llm: A tool for searching scientific papers and articles from the Arxiv repository. Input can be an Arxiv ID or an author's name.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询字符串
-      ja_JP: クエリ文字列
-    human_description:
-      en_US: The Arxiv ID or author's name used for searching.
-      zh_Hans: 用于搜索的Arxiv ID或作者姓名。
-      ja_JP: 検索に使用されるArxiv IDまたは著者名。
-    llm_description: The Arxiv ID or author's name used for searching.
-    form: llm
diff --git a/api/core/tools/provider/builtin/audio/audio.py b/api/core/tools/provider/builtin/audio/audio.py
deleted file mode 100644
index 1f15386f78..0000000000
--- a/api/core/tools/provider/builtin/audio/audio.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class AudioToolProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/tools/provider/builtin/aws/_assets/icon.svg b/api/core/tools/provider/builtin/aws/_assets/icon.svg
deleted file mode 100644
index ecfcfc08d4..0000000000
--- a/api/core/tools/provider/builtin/aws/_assets/icon.svg
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-
<!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
-<svg width="800px" height="800px" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg" fill="none">
-
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diff --git a/api/core/tools/provider/builtin/aws/aws.py b/api/core/tools/provider/builtin/aws/aws.py
deleted file mode 100644
index f81b5dbd27..0000000000
--- a/api/core/tools/provider/builtin/aws/aws.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.aws.tools.sagemaker_text_rerank import SageMakerReRankTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SageMakerProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            SageMakerReRankTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "sagemaker_endpoint": "",
-                    "query": "misaka mikoto",
-                    "candidate_texts": "hello$$$hello world",
-                    "topk": 5,
-                    "aws_region": "",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/aws/aws.yaml b/api/core/tools/provider/builtin/aws/aws.yaml
deleted file mode 100644
index 847c6824a5..0000000000
--- a/api/core/tools/provider/builtin/aws/aws.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: AWS
-  name: aws
-  label:
-    en_US: AWS
-    zh_Hans: 亚马逊云科技
-    pt_BR: AWS
-  description:
-    en_US: Services on AWS.
-    zh_Hans: 亚马逊云科技的各类服务
-    pt_BR: Services on AWS.
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py b/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py
deleted file mode 100644
index b224ff5258..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py
+++ /dev/null
@@ -1,90 +0,0 @@
-import json
-import logging
-from typing import Any, Union
-
-import boto3  # type: ignore
-from botocore.exceptions import BotoCoreError  # type: ignore
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-class GuardrailParameters(BaseModel):
-    guardrail_id: str = Field(..., description="The identifier of the guardrail")
-    guardrail_version: str = Field(..., description="The version of the guardrail")
-    source: str = Field(..., description="The source of the content")
-    text: str = Field(..., description="The text to apply the guardrail to")
-    aws_region: str = Field(..., description="AWS region for the Bedrock client")
-
-
-class ApplyGuardrailTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the ApplyGuardrail tool
-        """
-        try:
-            # Validate and parse input parameters
-            params = GuardrailParameters(**tool_parameters)
-
-            # Initialize AWS client
-            bedrock_client = boto3.client("bedrock-runtime", region_name=params.aws_region)
-
-            # Apply guardrail
-            response = bedrock_client.apply_guardrail(
-                guardrailIdentifier=params.guardrail_id,
-                guardrailVersion=params.guardrail_version,
-                source=params.source,
-                content=[{"text": {"text": params.text}}],
-            )
-
-            logger.info(f"Raw response from AWS: {json.dumps(response, indent=2)}")
-
-            # Check for empty response
-            if not response:
-                return self.create_text_message(text="Received empty response from AWS Bedrock.")
-
-            # Process the result
-            action = response.get("action", "No action specified")
-            outputs = response.get("outputs", [])
-            output = outputs[0].get("text", "No output received") if outputs else "No output received"
-            assessments = response.get("assessments", [])
-
-            # Format assessments
-            formatted_assessments = []
-            for assessment in assessments:
-                for policy_type, policy_data in assessment.items():
-                    if isinstance(policy_data, dict) and "topics" in policy_data:
-                        for topic in policy_data["topics"]:
-                            formatted_assessments.append(
-                                f"Policy: {policy_type}, Topic: {topic['name']}, Type: {topic['type']},"
-                                f" Action: {topic['action']}"
-                            )
-                    else:
-                        formatted_assessments.append(f"Policy: {policy_type}, Data: {policy_data}")
-
-            result = f"Action: {action}\n "
-            result += f"Output: {output}\n "
-            if formatted_assessments:
-                result += "Assessments:\n " + "\n ".join(formatted_assessments) + "\n "
-            #           result += f"Full response: {json.dumps(response, indent=2, ensure_ascii=False)}"
-
-            return self.create_text_message(text=result)
-
-        except BotoCoreError as e:
-            error_message = f"AWS service error: {str(e)}"
-            logger.error(error_message, exc_info=True)
-            return self.create_text_message(text=error_message)
-        except json.JSONDecodeError as e:
-            error_message = f"JSON parsing error: {str(e)}"
-            logger.error(error_message, exc_info=True)
-            return self.create_text_message(text=error_message)
-        except Exception as e:
-            error_message = f"An unexpected error occurred: {str(e)}"
-            logger.error(error_message, exc_info=True)
-            return self.create_text_message(text=error_message)
diff --git a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml b/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml
deleted file mode 100644
index 66044e4ea8..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml
+++ /dev/null
@@ -1,67 +0,0 @@
-identity:
-  name: apply_guardrail
-  author: AWS
-  label:
-    en_US: Content Moderation Guardrails
-    zh_Hans: 内容审查护栏
-description:
-  human:
-    en_US: Content Moderation Guardrails utilizes the ApplyGuardrail API, a feature of Guardrails for Amazon Bedrock. This API is capable of evaluating input prompts and model responses for all Foundation Models (FMs), including those on Amazon Bedrock, custom FMs, and third-party FMs. By implementing this functionality, organizations can achieve centralized governance across all their generative AI applications, thereby enhancing control and consistency in content moderation.
-    zh_Hans: 内容审查护栏采用 Guardrails for Amazon Bedrock 功能中的 ApplyGuardrail API 。ApplyGuardrail 可以评估所有基础模型(FMs)的输入提示和模型响应，包括 Amazon Bedrock 上的 FMs、自定义 FMs 和第三方 FMs。通过实施这一功能, 组织可以在所有生成式 AI 应用程序中实现集中化的治理，从而增强内容审核的控制力和一致性。
-  llm: Content Moderation Guardrails utilizes the ApplyGuardrail API, a feature of Guardrails for Amazon Bedrock. This API is capable of evaluating input prompts and model responses for all Foundation Models (FMs), including those on Amazon Bedrock, custom FMs, and third-party FMs. By implementing this functionality, organizations can achieve centralized governance across all their generative AI applications, thereby enhancing control and consistency in content moderation.
-parameters:
-  - name: guardrail_id
-    type: string
-    required: true
-    label:
-      en_US: Guardrail ID
-      zh_Hans: Guardrail ID
-    human_description:
-      en_US: Please enter the ID of the Guardrail that has already been created on Amazon Bedrock, for example 'qk5nk0e4b77b'.
-      zh_Hans: 请输入已经在 Amazon Bedrock 上创建好的 Guardrail ID, 例如 'qk5nk0e4b77b'.
-    llm_description: Please enter the ID of the Guardrail that has already been created on Amazon Bedrock, for example 'qk5nk0e4b77b'.
-    form: form
-  - name: guardrail_version
-    type: string
-    required: true
-    label:
-      en_US: Guardrail Version Number
-      zh_Hans: Guardrail 版本号码
-    human_description:
-      en_US: Please enter the published version of the Guardrail ID that has already been created on Amazon Bedrock. This is typically a version number, such as 2.
-      zh_Hans: 请输入已经在Amazon Bedrock 上创建好的Guardrail ID发布的版本, 通常使用版本号, 例如2.
-    llm_description: Please enter the published version of the Guardrail ID that has already been created on Amazon Bedrock. This is typically a version number, such as 2.
-    form: form
-  - name: source
-    type: string
-    required: true
-    label:
-      en_US: Content Source (INPUT or OUTPUT)
-      zh_Hans: 内容来源 (INPUT or OUTPUT)
-    human_description:
-      en_US: The source of data used in the request to apply the guardrail. Valid Values "INPUT | OUTPUT"
-      zh_Hans: 用于应用护栏的请求中所使用的数据来源。有效值为 "INPUT | OUTPUT"
-    llm_description: The source of data used in the request to apply the guardrail. Valid Values "INPUT | OUTPUT"
-    form: form
-  - name: text
-    type: string
-    required: true
-    label:
-      en_US: Content to be reviewed
-      zh_Hans: 待审查内容
-    human_description:
-      en_US: The content used for requesting guardrail review, which can be either user input or LLM output.
-      zh_Hans: 用于请求护栏审查的内容，可以是用户输入或 LLM 输出。
-    llm_description: The content used for requesting guardrail review, which can be either user input or LLM output.
-    form: llm
-  - name: aws_region
-    type: string
-    required: true
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS 区域
-    human_description:
-      en_US: Please enter the AWS region for the Bedrock client, for example 'us-east-1'.
-      zh_Hans: 请输入 Bedrock 客户端的 AWS 区域，例如 'us-east-1'。
-    llm_description: Please enter the AWS region for the Bedrock client, for example 'us-east-1'.
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py
deleted file mode 100644
index 19e7bfa76e..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py
+++ /dev/null
@@ -1,162 +0,0 @@
-import json
-import operator
-from typing import Any, Optional, Union
-
-import boto3
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BedrockRetrieveTool(BuiltinTool):
-    bedrock_client: Any = None
-    knowledge_base_id: str = None
-    topk: int = None
-
-    def _bedrock_retrieve(
-        self,
-        query_input: str,
-        knowledge_base_id: str,
-        num_results: int,
-        search_type: str,
-        rerank_model_id: str,
-        metadata_filter: Optional[dict] = None,
-    ):
-        try:
-            retrieval_query = {"text": query_input}
-
-            if search_type not in ["HYBRID", "SEMANTIC"]:
-                raise RuntimeException("search_type should be HYBRID or SEMANTIC")
-
-            retrieval_configuration = {
-                "vectorSearchConfiguration": {"numberOfResults": num_results, "overrideSearchType": search_type}
-            }
-
-            if rerank_model_id != "default":
-                model_for_rerank_arn = f"arn:aws:bedrock:us-west-2::foundation-model/{rerank_model_id}"
-                rerankingConfiguration = {
-                    "bedrockRerankingConfiguration": {
-                        "numberOfRerankedResults": num_results,
-                        "modelConfiguration": {"modelArn": model_for_rerank_arn},
-                    },
-                    "type": "BEDROCK_RERANKING_MODEL",
-                }
-
-                retrieval_configuration["vectorSearchConfiguration"]["rerankingConfiguration"] = rerankingConfiguration
-                retrieval_configuration["vectorSearchConfiguration"]["numberOfResults"] = num_results * 5
-
-            # 如果有元数据过滤条件，则添加到检索配置中
-            if metadata_filter:
-                retrieval_configuration["vectorSearchConfiguration"]["filter"] = metadata_filter
-
-            response = self.bedrock_client.retrieve(
-                knowledgeBaseId=knowledge_base_id,
-                retrievalQuery=retrieval_query,
-                retrievalConfiguration=retrieval_configuration,
-            )
-
-            results = []
-            for result in response.get("retrievalResults", []):
-                results.append(
-                    {
-                        "content": result.get("content", {}).get("text", ""),
-                        "score": result.get("score", 0.0),
-                        "metadata": result.get("metadata", {}),
-                    }
-                )
-
-            return results
-        except Exception as e:
-            raise Exception(f"Error retrieving from knowledge base: {str(e)}")
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            line = 0
-            # Initialize Bedrock client if not already initialized
-            if not self.bedrock_client:
-                aws_region = tool_parameters.get("aws_region")
-                aws_access_key_id = tool_parameters.get("aws_access_key_id")
-                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
-
-                client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None}
-
-                # Only add credentials if both access key and secret key are provided
-                if aws_access_key_id and aws_secret_access_key:
-                    client_kwargs.update(
-                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
-                    )
-
-                self.bedrock_client = boto3.client(**client_kwargs)
-        except Exception as e:
-            return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
-
-        try:
-            line = 1
-            if not self.knowledge_base_id:
-                self.knowledge_base_id = tool_parameters.get("knowledge_base_id")
-                if not self.knowledge_base_id:
-                    return self.create_text_message("Please provide knowledge_base_id")
-
-            line = 2
-            if not self.topk:
-                self.topk = tool_parameters.get("topk", 5)
-
-            line = 3
-            query = tool_parameters.get("query", "")
-            if not query:
-                return self.create_text_message("Please input query")
-
-            # 获取元数据过滤条件（如果存在）
-            metadata_filter_str = tool_parameters.get("metadata_filter")
-            metadata_filter = json.loads(metadata_filter_str) if metadata_filter_str else None
-
-            search_type = tool_parameters.get("search_type")
-            rerank_model_id = tool_parameters.get("rerank_model_id")
-
-            line = 4
-            retrieved_docs = self._bedrock_retrieve(
-                query_input=query,
-                knowledge_base_id=self.knowledge_base_id,
-                num_results=self.topk,
-                search_type=search_type,
-                rerank_model_id=rerank_model_id,
-                metadata_filter=metadata_filter,
-            )
-
-            line = 5
-            # Sort results by score in descending order
-            sorted_docs = sorted(retrieved_docs, key=operator.itemgetter("score"), reverse=True)
-
-            line = 6
-            result_type = tool_parameters.get("result_type")
-            if result_type == "json":
-                return [self.create_json_message(res) for res in sorted_docs]
-            else:
-                text = ""
-                for i, res in enumerate(sorted_docs):
-                    text += f"{i + 1}: {res['content']}\n"
-                return self.create_text_message(text)
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}, line : {line}")
-
-    def validate_parameters(self, parameters: dict[str, Any]) -> None:
-        """
-        Validate the parameters
-        """
-        if not parameters.get("knowledge_base_id"):
-            raise ValueError("knowledge_base_id is required")
-
-        if not parameters.get("query"):
-            raise ValueError("query is required")
-
-        metadata_filter_str = parameters.get("metadata_filter")
-        if metadata_filter_str and not isinstance(json.loads(metadata_filter_str), dict):
-            raise ValueError("metadata_filter must be a valid JSON object")
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml
deleted file mode 100644
index d0c520b392..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml
+++ /dev/null
@@ -1,179 +0,0 @@
-identity:
-  name: bedrock_retrieve
-  author: AWS
-  label:
-    en_US: Bedrock Retrieve
-    zh_Hans: Bedrock检索
-    pt_BR: Bedrock Retrieve
-  icon: icon.svg
-
-description:
-  human:
-    en_US: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. You can find deploy instructions on Github Repo - https://github.com/aws-samples/dify-aws-tool
-    zh_Hans: Amazon Bedrock知识库检索工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署说明
-    pt_BR: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base.
-  llm: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. You can find deploy instructions on Github Repo - https://github.com/aws-samples/dify-aws-tool
-
-parameters:
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS区域
-    human_description:
-      en_US: AWS region for the Bedrock service
-      zh_Hans: Bedrock服务的AWS区域
-    form: form
-
-  - name: aws_access_key_id
-    type: string
-    required: false
-    label:
-      en_US: AWS Access Key ID
-      zh_Hans: AWS访问密钥ID
-    human_description:
-      en_US: AWS access key ID for authentication (optional)
-      zh_Hans: 用于身份验证的AWS访问密钥ID（可选）
-    form: form
-
-  - name: aws_secret_access_key
-    type: string
-    required: false
-    label:
-      en_US: AWS Secret Access Key
-      zh_Hans: AWS秘密访问密钥
-    human_description:
-      en_US: AWS secret access key for authentication (optional)
-      zh_Hans: 用于身份验证的AWS秘密访问密钥（可选）
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    label:
-      en_US: result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: return a list of json or texts
-      zh_Hans: 返回一个列表，内容是json还是纯文本
-    default: text
-    options:
-      - value: json
-        label:
-          en_US: JSON
-          zh_Hans: JSON
-      - value: text
-        label:
-          en_US: Text
-          zh_Hans: 文本
-    form: form
-
-  - name: knowledge_base_id
-    type: string
-    required: true
-    label:
-      en_US: Bedrock Knowledge Base ID
-      zh_Hans: Bedrock知识库ID
-      pt_BR: Bedrock Knowledge Base ID
-    human_description:
-      en_US: ID of the Bedrock Knowledge Base to retrieve from
-      zh_Hans: 用于检索的Bedrock知识库ID
-      pt_BR: ID of the Bedrock Knowledge Base to retrieve from
-    llm_description: ID of the Bedrock Knowledge Base to retrieve from
-    form: form
-
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: The search query to retrieve relevant information
-      zh_Hans: 用于检索相关信息的查询语句
-      pt_BR: The search query to retrieve relevant information
-    llm_description: The search query to retrieve relevant information
-    form: llm
-
-  - name: topk
-    type: number
-    required: false
-    form: form
-    label:
-      en_US: Limit for results count
-      zh_Hans: 返回结果数量限制
-      pt_BR: Limit for results count
-    human_description:
-      en_US: Maximum number of results to return
-      zh_Hans: 最大返回结果数量
-      pt_BR: Maximum number of results to return
-    min: 1
-    max: 10
-    default: 5
-
-  - name: search_type
-    type: select
-    required: false
-    label:
-      en_US: search type
-      zh_Hans: 搜索类型
-      pt_BR: search type
-    human_description:
-      en_US: search type
-      zh_Hans: 搜索类型
-      pt_BR: search type
-    llm_description: search type
-    default: SEMANTIC
-    options:
-      - value: SEMANTIC
-        label:
-          en_US: SEMANTIC
-          zh_Hans: 语义搜索
-      - value: HYBRID
-        label:
-          en_US: HYBRID
-          zh_Hans: 混合搜索
-    form: form
-
-  - name: rerank_model_id
-    type: select
-    required: false
-    label:
-      en_US: rerank model id
-      zh_Hans: 重拍模型ID
-      pt_BR: rerank model id
-    human_description:
-      en_US: rerank model id
-      zh_Hans: 重拍模型ID
-      pt_BR: rerank model id
-    llm_description: rerank model id
-    default: default
-    options:
-      - value: default
-        label:
-          en_US: default
-          zh_Hans: 默认
-      - value: cohere.rerank-v3-5:0
-        label:
-          en_US: cohere.rerank-v3-5:0
-          zh_Hans: cohere.rerank-v3-5:0
-      - value: amazon.rerank-v1:0
-        label:
-          en_US: amazon.rerank-v1:0
-          zh_Hans: amazon.rerank-v1:0
-    form: form
-
-  - name: metadata_filter   # Additional parameter for metadata filtering
-    type: string            # String type, expects JSON-formatted filter conditions
-    required: false         # Optional field - can be omitted
-    label:
-      en_US: Metadata Filter
-      zh_Hans: 元数据过滤器
-      pt_BR: Metadata Filter
-    human_description:
-      en_US: 'JSON formatted filter conditions for metadata (e.g., {"greaterThan": {"key: "aaa", "value": 10}})'
-      zh_Hans: '元数据的JSON格式过滤条件（例如，{{"greaterThan": {"key: "aaa", "value": 10}}）'
-      pt_BR: 'JSON formatted filter conditions for metadata (e.g., {"greaterThan": {"key: "aaa", "value": 10}})'
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
deleted file mode 100644
index 3717aac344..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py
+++ /dev/null
@@ -1,137 +0,0 @@
-import json
-from typing import Any
-
-import boto3
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BedrockRetrieveAndGenerateTool(BuiltinTool):
-    bedrock_client: Any = None
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> ToolInvokeMessage:
-        try:
-            # Initialize Bedrock client if not already initialized
-            if not self.bedrock_client:
-                aws_region = tool_parameters.get("aws_region")
-                aws_access_key_id = tool_parameters.get("aws_access_key_id")
-                aws_secret_access_key = tool_parameters.get("aws_secret_access_key")
-
-                client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None}
-
-                # Only add credentials if both access key and secret key are provided
-                if aws_access_key_id and aws_secret_access_key:
-                    client_kwargs.update(
-                        {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key}
-                    )
-
-                self.bedrock_client = boto3.client(**client_kwargs)
-        except Exception as e:
-            return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}")
-
-        try:
-            request_config = {}
-
-            # Set input configuration
-            input_text = tool_parameters.get("input")
-            if input_text:
-                request_config["input"] = {"text": input_text}
-
-            # Build retrieve and generate configuration
-            config_type = tool_parameters.get("type")
-            retrieve_generate_config = {"type": config_type}
-
-            # Add configuration based on type
-            if config_type == "KNOWLEDGE_BASE":
-                kb_config_str = tool_parameters.get("knowledge_base_configuration")
-                kb_config = json.loads(kb_config_str) if kb_config_str else None
-                retrieve_generate_config["knowledgeBaseConfiguration"] = kb_config
-            else:  # EXTERNAL_SOURCES
-                es_config_str = tool_parameters.get("external_sources_configuration")
-                es_config = json.loads(kb_config_str) if es_config_str else None
-                retrieve_generate_config["externalSourcesConfiguration"] = es_config
-
-            request_config["retrieveAndGenerateConfiguration"] = retrieve_generate_config
-
-            # Parse session configuration
-            session_config_str = tool_parameters.get("session_configuration")
-            session_config = json.loads(session_config_str) if session_config_str else None
-            if session_config:
-                request_config["sessionConfiguration"] = session_config
-
-            # Add session ID if provided
-            session_id = tool_parameters.get("session_id")
-            if session_id:
-                request_config["sessionId"] = session_id
-
-            # Send request
-            response = self.bedrock_client.retrieve_and_generate(**request_config)
-
-            # Process response
-            result = {"output": response.get("output", {}).get("text", ""), "citations": []}
-
-            # Process citations
-            for citation in response.get("citations", []):
-                citation_info = {
-                    "text": citation.get("generatedResponsePart", {}).get("textResponsePart", {}).get("text", ""),
-                    "references": [],
-                }
-
-                for ref in citation.get("retrievedReferences", []):
-                    reference = {
-                        "content": ref.get("content", {}).get("text", ""),
-                        "metadata": ref.get("metadata", {}),
-                        "location": None,
-                    }
-
-                    location = ref.get("location", {})
-                    if location.get("type") == "S3":
-                        reference["location"] = location.get("s3Location", {}).get("uri")
-
-                    citation_info["references"].append(reference)
-
-                result["citations"].append(citation_info)
-            result_type = tool_parameters.get("result_type")
-            if result_type == "json":
-                return self.create_json_message(result)
-            elif result_type == "text-with-citations":
-                return self.create_text_message(result)
-            else:
-                return self.create_text_message(result.get("output"))
-        except json.JSONDecodeError as e:
-            return self.create_text_message(f"Invalid JSON format: {str(e)}")
-        except Exception as e:
-            return self.create_text_message(f"Tool invocation error: {str(e)}")
-
-    def validate_parameters(self, parameters: dict[str, Any]) -> None:
-        """Validate the parameters"""
-        # Validate required parameters
-        if not parameters.get("input"):
-            raise ValueError("input is required")
-        if not parameters.get("type"):
-            raise ValueError("type is required")
-
-        # Validate JSON configurations
-        json_configs = ["knowledge_base_configuration", "external_sources_configuration", "session_configuration"]
-        for config in json_configs:
-            if config_value := parameters.get(config):
-                try:
-                    json.loads(config_value)
-                except json.JSONDecodeError:
-                    raise ValueError(f"{config} must be a valid JSON string")
-
-        # Validate configuration type
-        config_type = parameters.get("type")
-        if config_type not in ["KNOWLEDGE_BASE", "EXTERNAL_SOURCES"]:
-            raise ValueError("type must be either KNOWLEDGE_BASE or EXTERNAL_SOURCES")
-
-        # Validate type-specific configuration
-        if config_type == "KNOWLEDGE_BASE" and not parameters.get("knowledge_base_configuration"):
-            raise ValueError("knowledge_base_configuration is required when type is KNOWLEDGE_BASE")
-        elif config_type == "EXTERNAL_SOURCES" and not parameters.get("external_sources_configuration"):
-            raise ValueError("external_sources_configuration is required when type is EXTERNAL_SOURCES")
diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
deleted file mode 100644
index 68f418fc5c..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml
+++ /dev/null
@@ -1,148 +0,0 @@
-identity:
-  name: bedrock_retrieve_and_generate
-  author: AWS
-  label:
-    en_US: Bedrock Retrieve and Generate
-    zh_Hans: Bedrock检索和生成
-  icon: icon.svg
-
-description:
-  human:
-    en_US: "This is an advanced usage of Bedrock Retrieve. Please refer to the API documentation for detailed parameters and paste them into the corresponding Knowledge Base Configuration or External Sources Configuration"
-    zh_Hans: "这个工具为Bedrock Retrieve的高级用法，请参考API设置详细的参数，并粘贴到对应的知识库配置或者外部源配置"
-  llm: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base
-
-parameters:
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS区域
-    human_description:
-      en_US: AWS region for the Bedrock service
-      zh_Hans: Bedrock服务的AWS区域
-    form: form
-
-  - name: aws_access_key_id
-    type: string
-    required: false
-    label:
-      en_US: AWS Access Key ID
-      zh_Hans: AWS访问密钥ID
-    human_description:
-      en_US: AWS access key ID for authentication (optional)
-      zh_Hans: 用于身份验证的AWS访问密钥ID（可选）
-    form: form
-
-  - name: aws_secret_access_key
-    type: string
-    required: false
-    label:
-      en_US: AWS Secret Access Key
-      zh_Hans: AWS秘密访问密钥
-    human_description:
-      en_US: AWS secret access key for authentication (optional)
-      zh_Hans: 用于身份验证的AWS秘密访问密钥（可选）
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    label:
-      en_US: result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: return a list of json or texts
-      zh_Hans: 返回一个列表，内容是json还是纯文本
-    default: text
-    options:
-      - value: json
-        label:
-          en_US: JSON
-          zh_Hans: JSON
-      - value: text
-        label:
-          en_US: Text
-          zh_Hans: 文本
-      - value: text-with-citations
-        label:
-          en_US: Text With Citations
-          zh_Hans: 文本（包含引用）
-    form: form
-
-  - name: input
-    type: string
-    required: true
-    label:
-      en_US: Input Text
-      zh_Hans: 输入文本
-    human_description:
-      en_US: The text query to retrieve information
-      zh_Hans: 用于检索信息的文本查询
-    form: llm
-
-  - name: type
-    type: select
-    required: true
-    label:
-      en_US: Configuration Type
-      zh_Hans: 配置类型
-    human_description:
-      en_US: Type of retrieve and generate configuration
-      zh_Hans: 检索和生成配置的类型
-    options:
-      - value: KNOWLEDGE_BASE
-        label:
-          en_US: Knowledge Base
-          zh_Hans: 知识库
-      - value: EXTERNAL_SOURCES
-        label:
-          en_US: External Sources
-          zh_Hans: 外部源
-    form: form
-
-  - name: knowledge_base_configuration
-    type: string
-    required: false
-    label:
-      en_US: Knowledge Base Configuration
-      zh_Hans: 知识库配置
-    human_description:
-      en_US: Please refer to @https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here
-      zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里
-    form: form
-
-  - name: external_sources_configuration
-    type: string
-    required: false
-    label:
-      en_US: External Sources Configuration
-      zh_Hans: 外部源配置
-    human_description:
-      en_US: Please refer to https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here
-      zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里
-    form: form
-
-  - name: session_configuration
-    type: string
-    required: false
-    label:
-      en_US: Session Configuration
-      zh_Hans: 会话配置
-    human_description:
-      en_US: JSON formatted session configuration
-      zh_Hans: JSON格式的会话配置
-    default: ""
-    form: form
-
-  - name: session_id
-    type: string
-    required: false
-    label:
-      en_US: Session ID
-      zh_Hans: 会话ID
-    human_description:
-      en_US: Session ID for continuous conversations
-      zh_Hans: 用于连续对话的会话ID
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py b/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py
deleted file mode 100644
index b6d16d2759..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py
+++ /dev/null
@@ -1,91 +0,0 @@
-import json
-from typing import Any, Union
-
-import boto3  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class LambdaTranslateUtilsTool(BuiltinTool):
-    lambda_client: Any = None
-
-    def _invoke_lambda(self, text_content, src_lang, dest_lang, model_id, dictionary_name, request_type, lambda_name):
-        msg = {
-            "src_contents": [text_content],
-            "src_lang": src_lang,
-            "dest_lang": dest_lang,
-            "dictionary_id": dictionary_name,
-            "request_type": request_type,
-            "model_id": model_id,
-        }
-
-        invoke_response = self.lambda_client.invoke(
-            FunctionName=lambda_name, InvocationType="RequestResponse", Payload=json.dumps(msg)
-        )
-        response_body = invoke_response["Payload"]
-
-        response_str = response_body.read().decode("unicode_escape")
-
-        return response_str
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        line = 0
-        try:
-            if not self.lambda_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.lambda_client = boto3.client("lambda", region_name=aws_region)
-                else:
-                    self.lambda_client = boto3.client("lambda")
-
-            line = 1
-            text_content = tool_parameters.get("text_content", "")
-            if not text_content:
-                return self.create_text_message("Please input text_content")
-
-            line = 2
-            src_lang = tool_parameters.get("src_lang", "")
-            if not src_lang:
-                return self.create_text_message("Please input src_lang")
-
-            line = 3
-            dest_lang = tool_parameters.get("dest_lang", "")
-            if not dest_lang:
-                return self.create_text_message("Please input dest_lang")
-
-            line = 4
-            lambda_name = tool_parameters.get("lambda_name", "")
-            if not lambda_name:
-                return self.create_text_message("Please input lambda_name")
-
-            line = 5
-            request_type = tool_parameters.get("request_type", "")
-            if not request_type:
-                return self.create_text_message("Please input request_type")
-
-            line = 6
-            model_id = tool_parameters.get("model_id", "")
-            if not model_id:
-                return self.create_text_message("Please input model_id")
-
-            line = 7
-            dictionary_name = tool_parameters.get("dictionary_name", "")
-            if not dictionary_name:
-                return self.create_text_message("Please input dictionary_name")
-
-            result = self._invoke_lambda(
-                text_content, src_lang, dest_lang, model_id, dictionary_name, request_type, lambda_name
-            )
-
-            return self.create_text_message(text=result)
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}, line : {line}")
diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml b/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml
deleted file mode 100644
index 646602fcd6..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml
+++ /dev/null
@@ -1,134 +0,0 @@
-identity:
-  name: lambda_translate_utils
-  author: AWS
-  label:
-    en_US: TranslateTool
-    zh_Hans: 翻译工具
-    pt_BR: TranslateTool
-  icon: icon.svg
-description:
-  human:
-    en_US: A util tools for LLM translation, extra deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
-    zh_Hans: 大语言模型翻译工具(专词映射获取)，需要在AWS上进行额外部署，可参考Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
-    pt_BR: A util tools for LLM translation, specific Lambda Function deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
-  llm: A util tools for translation.
-parameters:
-  - name: text_content
-    type: string
-    required: true
-    label:
-      en_US: source content for translation
-      zh_Hans: 待翻译原文
-      pt_BR: source content for translation
-    human_description:
-      en_US: source content for translation
-      zh_Hans: 待翻译原文
-      pt_BR: source content for translation
-    llm_description: source content for translation
-    form: llm
-  - name: src_lang
-    type: string
-    required: true
-    label:
-      en_US: source language code
-      zh_Hans: 原文语言代号
-      pt_BR: source language code
-    human_description:
-      en_US: source language code
-      zh_Hans: 原文语言代号
-      pt_BR: source language code
-    llm_description: source language code
-    form: llm
-  - name: dest_lang
-    type: string
-    required: true
-    label:
-      en_US: target language code
-      zh_Hans: 目标语言代号
-      pt_BR: target language code
-    human_description:
-      en_US: target language code
-      zh_Hans: 目标语言代号
-      pt_BR: target language code
-    llm_description: target language code
-    form: llm
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: region of Lambda
-      zh_Hans: Lambda 所在的region
-      pt_BR: region of Lambda
-    human_description:
-      en_US: region of Lambda
-      zh_Hans: Lambda 所在的region
-      pt_BR: region of Lambda
-    llm_description: region of Lambda
-    form: form
-  - name: model_id
-    type: string
-    required: false
-    default: anthropic.claude-3-sonnet-20240229-v1:0
-    label:
-      en_US: LLM model_id in bedrock
-      zh_Hans: bedrock上的大语言模型model_id
-      pt_BR: LLM model_id in bedrock
-    human_description:
-      en_US: LLM model_id in bedrock
-      zh_Hans: bedrock上的大语言模型model_id
-      pt_BR: LLM model_id in bedrock
-    llm_description: LLM model_id in bedrock
-    form: form
-  - name: dictionary_name
-    type: string
-    required: false
-    label:
-      en_US: dictionary name for term mapping
-      zh_Hans: 专词映射表名称
-      pt_BR: dictionary name for term mapping
-    human_description:
-      en_US: dictionary name for term mapping
-      zh_Hans: 专词映射表名称
-      pt_BR: dictionary name for term mapping
-    llm_description: dictionary name for term mapping
-    form: form
-  - name: request_type
-    type: select
-    required: false
-    label:
-      en_US: request type
-      zh_Hans: 请求类型
-      pt_BR: request type
-    human_description:
-      en_US: request type
-      zh_Hans: 请求类型
-      pt_BR: request type
-    default: term_mapping
-    options:
-      - value: term_mapping
-        label:
-          en_US: term_mapping
-          zh_Hans: 专词映射
-      - value: segment_only
-        label:
-          en_US: segment_only
-          zh_Hans: 仅切词
-      - value: translate
-        label:
-          en_US: translate
-          zh_Hans: 翻译内容
-    form: form
-  - name: lambda_name
-    type: string
-    default: "translate_tool"
-    required: true
-    label:
-      en_US: AWS Lambda for term mapping retrieval
-      zh_Hans: 专词召回映射 - AWS Lambda
-      pt_BR: lambda name for term mapping retrieval
-    human_description:
-      en_US: AWS Lambda  for term mapping retrieval
-      zh_Hans: 专词召回映射 - AWS Lambda
-      pt_BR: AWS Lambda  for term mapping retrieval
-    llm_description: AWS Lambda  for term mapping retrieval
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py b/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py
deleted file mode 100644
index 01bc596346..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import json
-import logging
-from typing import Any, Union
-
-import boto3  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-console_handler = logging.StreamHandler()
-logger.addHandler(console_handler)
-
-
-class LambdaYamlToJsonTool(BuiltinTool):
-    lambda_client: Any = None
-
-    def _invoke_lambda(self, lambda_name: str, yaml_content: str) -> str:
-        msg = {"body": yaml_content}
-        logger.info(json.dumps(msg))
-
-        invoke_response = self.lambda_client.invoke(
-            FunctionName=lambda_name, InvocationType="RequestResponse", Payload=json.dumps(msg)
-        )
-        response_body = invoke_response["Payload"]
-
-        response_str = response_body.read().decode("utf-8")
-        resp_json = json.loads(response_str)
-
-        logger.info(resp_json)
-        if resp_json["statusCode"] != 200:
-            raise Exception(f"Invalid status code: {response_str}")
-
-        return resp_json["body"]
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            if not self.lambda_client:
-                aws_region = tool_parameters.get("aws_region")  # todo: move aws_region out, and update client region
-                if aws_region:
-                    self.lambda_client = boto3.client("lambda", region_name=aws_region)
-                else:
-                    self.lambda_client = boto3.client("lambda")
-
-            yaml_content = tool_parameters.get("yaml_content", "")
-            if not yaml_content:
-                return self.create_text_message("Please input yaml_content")
-
-            lambda_name = tool_parameters.get("lambda_name", "")
-            if not lambda_name:
-                return self.create_text_message("Please input lambda_name")
-            logger.debug(f"{json.dumps(tool_parameters, indent=2, ensure_ascii=False)}")
-
-            result = self._invoke_lambda(lambda_name, yaml_content)
-            logger.debug(result)
-
-            return self.create_text_message(result)
-        except Exception as e:
-            return self.create_text_message(f"Exception: {str(e)}")
-
-        console_handler.flush()
diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml b/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml
deleted file mode 100644
index 919c285348..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-identity:
-  name: lambda_yaml_to_json
-  author: AWS
-  label:
-    en_US: LambdaYamlToJson
-    zh_Hans: LambdaYamlToJson
-    pt_BR: LambdaYamlToJson
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool to convert yaml to json using AWS Lambda.
-    zh_Hans: 将 YAML 转为 JSON 的工具（通过AWS Lambda）。
-    pt_BR: A tool to convert yaml to json using AWS Lambda.
-  llm: A tool to convert yaml to json.
-parameters:
-  - name: yaml_content
-    type: string
-    required: true
-    label:
-      en_US: YAML content to convert for
-      zh_Hans: YAML 内容
-      pt_BR: YAML content to convert for
-    human_description:
-      en_US: YAML content to convert for
-      zh_Hans: YAML 内容
-      pt_BR: YAML content to convert for
-    llm_description: YAML content to convert for
-    form: llm
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: region of lambda
-      zh_Hans: Lambda 所在的region
-      pt_BR: region of lambda
-    human_description:
-      en_US: region of lambda
-      zh_Hans: Lambda 所在的region
-      pt_BR: region of lambda
-    llm_description: region of lambda
-    form: form
-  - name: lambda_name
-    type: string
-    required: false
-    label:
-      en_US: name of lambda
-      zh_Hans: Lambda 名称
-      pt_BR: name of lambda
-    human_description:
-      en_US: name of lambda
-      zh_Hans: Lambda 名称
-      pt_BR: name of lambda
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/nova_canvas.py b/api/core/tools/provider/builtin/aws/tools/nova_canvas.py
deleted file mode 100644
index 954dbe35a4..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/nova_canvas.py
+++ /dev/null
@@ -1,357 +0,0 @@
-import base64
-import json
-import logging
-import re
-from datetime import datetime
-from typing import Any, Union
-from urllib.parse import urlparse
-
-import boto3
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-class NovaCanvasTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke AWS Bedrock Nova Canvas model for image generation
-        """
-        # Get common parameters
-        prompt = tool_parameters.get("prompt", "")
-        image_output_s3uri = tool_parameters.get("image_output_s3uri", "").strip()
-        if not prompt:
-            return self.create_text_message("Please provide a text prompt for image generation.")
-        if not image_output_s3uri or urlparse(image_output_s3uri).scheme != "s3":
-            return self.create_text_message("Please provide an valid S3 URI for image output.")
-
-        task_type = tool_parameters.get("task_type", "TEXT_IMAGE")
-        aws_region = tool_parameters.get("aws_region", "us-east-1")
-
-        # Get common image generation config parameters
-        width = tool_parameters.get("width", 1024)
-        height = tool_parameters.get("height", 1024)
-        cfg_scale = tool_parameters.get("cfg_scale", 8.0)
-        negative_prompt = tool_parameters.get("negative_prompt", "")
-        seed = tool_parameters.get("seed", 0)
-        quality = tool_parameters.get("quality", "standard")
-
-        # Handle S3 image if provided
-        image_input_s3uri = tool_parameters.get("image_input_s3uri", "")
-        if task_type != "TEXT_IMAGE":
-            if not image_input_s3uri or urlparse(image_input_s3uri).scheme != "s3":
-                return self.create_text_message("Please provide a valid S3 URI for image to image generation.")
-
-            # Parse S3 URI
-            parsed_uri = urlparse(image_input_s3uri)
-            bucket = parsed_uri.netloc
-            key = parsed_uri.path.lstrip("/")
-
-            # Initialize S3 client and download image
-            s3_client = boto3.client("s3")
-            response = s3_client.get_object(Bucket=bucket, Key=key)
-            image_data = response["Body"].read()
-
-            # Base64 encode the image
-            input_image = base64.b64encode(image_data).decode("utf-8")
-
-        try:
-            # Initialize Bedrock client
-            bedrock = boto3.client(service_name="bedrock-runtime", region_name=aws_region)
-
-            # Base image generation config
-            image_generation_config = {
-                "width": width,
-                "height": height,
-                "cfgScale": cfg_scale,
-                "seed": seed,
-                "numberOfImages": 1,
-                "quality": quality,
-            }
-
-            # Prepare request body based on task type
-            body = {"imageGenerationConfig": image_generation_config}
-
-            if task_type == "TEXT_IMAGE":
-                body["taskType"] = "TEXT_IMAGE"
-                body["textToImageParams"] = {"text": prompt}
-                if negative_prompt:
-                    body["textToImageParams"]["negativeText"] = negative_prompt
-
-            elif task_type == "COLOR_GUIDED_GENERATION":
-                colors = tool_parameters.get("colors", "#ff8080-#ffb280-#ffe680-#ffe680")
-                if not self._validate_color_string(colors):
-                    return self.create_text_message("Please provide valid colors in hexadecimal format.")
-
-                body["taskType"] = "COLOR_GUIDED_GENERATION"
-                body["colorGuidedGenerationParams"] = {
-                    "colors": colors.split("-"),
-                    "referenceImage": input_image,
-                    "text": prompt,
-                }
-                if negative_prompt:
-                    body["colorGuidedGenerationParams"]["negativeText"] = negative_prompt
-
-            elif task_type == "IMAGE_VARIATION":
-                similarity_strength = tool_parameters.get("similarity_strength", 0.5)
-
-                body["taskType"] = "IMAGE_VARIATION"
-                body["imageVariationParams"] = {
-                    "images": [input_image],
-                    "similarityStrength": similarity_strength,
-                    "text": prompt,
-                }
-                if negative_prompt:
-                    body["imageVariationParams"]["negativeText"] = negative_prompt
-
-            elif task_type == "INPAINTING":
-                mask_prompt = tool_parameters.get("mask_prompt")
-                if not mask_prompt:
-                    return self.create_text_message("Please provide a mask prompt for image inpainting.")
-
-                body["taskType"] = "INPAINTING"
-                body["inPaintingParams"] = {"image": input_image, "maskPrompt": mask_prompt, "text": prompt}
-                if negative_prompt:
-                    body["inPaintingParams"]["negativeText"] = negative_prompt
-
-            elif task_type == "OUTPAINTING":
-                mask_prompt = tool_parameters.get("mask_prompt")
-                if not mask_prompt:
-                    return self.create_text_message("Please provide a mask prompt for image outpainting.")
-                outpainting_mode = tool_parameters.get("outpainting_mode", "DEFAULT")
-
-                body["taskType"] = "OUTPAINTING"
-                body["outPaintingParams"] = {
-                    "image": input_image,
-                    "maskPrompt": mask_prompt,
-                    "outPaintingMode": outpainting_mode,
-                    "text": prompt,
-                }
-                if negative_prompt:
-                    body["outPaintingParams"]["negativeText"] = negative_prompt
-
-            elif task_type == "BACKGROUND_REMOVAL":
-                body["taskType"] = "BACKGROUND_REMOVAL"
-                body["backgroundRemovalParams"] = {"image": input_image}
-
-            else:
-                return self.create_text_message(f"Unsupported task type: {task_type}")
-
-            # Call Nova Canvas model
-            response = bedrock.invoke_model(
-                body=json.dumps(body),
-                modelId="amazon.nova-canvas-v1:0",
-                accept="application/json",
-                contentType="application/json",
-            )
-
-            # Process response
-            response_body = json.loads(response.get("body").read())
-            if response_body.get("error"):
-                raise Exception(f"Error in model response: {response_body.get('error')}")
-            base64_image = response_body.get("images")[0]
-
-            # Upload to S3 if image_output_s3uri is provided
-            try:
-                # Parse S3 URI for output
-                parsed_uri = urlparse(image_output_s3uri)
-                output_bucket = parsed_uri.netloc
-                output_base_path = parsed_uri.path.lstrip("/")
-                # Generate filename with timestamp
-                timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-                output_key = f"{output_base_path}/canvas-output-{timestamp}.png"
-
-                # Initialize S3 client if not already done
-                s3_client = boto3.client("s3", region_name=aws_region)
-
-                # Decode base64 image and upload to S3
-                image_data = base64.b64decode(base64_image)
-                s3_client.put_object(Bucket=output_bucket, Key=output_key, Body=image_data, ContentType="image/png")
-                logger.info(f"Image uploaded to s3://{output_bucket}/{output_key}")
-            except Exception as e:
-                logger.exception("Failed to upload image to S3")
-            # Return image
-            return [
-                self.create_text_message(f"Image is available at: s3://{output_bucket}/{output_key}"),
-                self.create_blob_message(
-                    blob=base64.b64decode(base64_image),
-                    meta={"mime_type": "image/png"},
-                    save_as=self.VariableKey.IMAGE.value,
-                ),
-            ]
-
-        except Exception as e:
-            return self.create_text_message(f"Failed to generate image: {str(e)}")
-
-    def _validate_color_string(self, color_string) -> bool:
-        color_pattern = r"^#[0-9a-fA-F]{6}(?:-#[0-9a-fA-F]{6})*$"
-
-        if re.match(color_pattern, color_string):
-            return True
-        return False
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        parameters = [
-            ToolParameter(
-                name="prompt",
-                label=I18nObject(en_US="Prompt", zh_Hans="提示词"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=True,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="Text description of the image you want to generate or modify",
-                    zh_Hans="您想要生成或修改的图像的文本描述",
-                ),
-                llm_description="Describe the image you want to generate or how you want to modify the input image",
-            ),
-            ToolParameter(
-                name="image_input_s3uri",
-                label=I18nObject(en_US="Input image s3 uri", zh_Hans="输入图片的s3 uri"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(en_US="Image to be modified", zh_Hans="想要修改的图片"),
-            ),
-            ToolParameter(
-                name="image_output_s3uri",
-                label=I18nObject(en_US="Output Image S3 URI", zh_Hans="输出图片的S3 URI目录"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=True,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="S3 URI where the generated image should be uploaded", zh_Hans="生成的图像应该上传到的S3 URI"
-                ),
-            ),
-            ToolParameter(
-                name="width",
-                label=I18nObject(en_US="Width", zh_Hans="宽度"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=1024,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Width of the generated image", zh_Hans="生成图像的宽度"),
-            ),
-            ToolParameter(
-                name="height",
-                label=I18nObject(en_US="Height", zh_Hans="高度"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=1024,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Height of the generated image", zh_Hans="生成图像的高度"),
-            ),
-            ToolParameter(
-                name="cfg_scale",
-                label=I18nObject(en_US="CFG Scale", zh_Hans="CFG比例"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=8.0,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="How strongly the image should conform to the prompt", zh_Hans="图像应该多大程度上符合提示词"
-                ),
-            ),
-            ToolParameter(
-                name="negative_prompt",
-                label=I18nObject(en_US="Negative Prompt", zh_Hans="负面提示词"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default="",
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="Things you don't want in the generated image", zh_Hans="您不想在生成的图像中出现的内容"
-                ),
-            ),
-            ToolParameter(
-                name="seed",
-                label=I18nObject(en_US="Seed", zh_Hans="种子值"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=0,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Random seed for image generation", zh_Hans="图像生成的随机种子"),
-            ),
-            ToolParameter(
-                name="aws_region",
-                label=I18nObject(en_US="AWS Region", zh_Hans="AWS 区域"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default="us-east-1",
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="AWS region for Bedrock service", zh_Hans="Bedrock 服务的 AWS 区域"),
-            ),
-            ToolParameter(
-                name="task_type",
-                label=I18nObject(en_US="Task Type", zh_Hans="任务类型"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default="TEXT_IMAGE",
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(en_US="Type of image generation task", zh_Hans="图像生成任务的类型"),
-            ),
-            ToolParameter(
-                name="quality",
-                label=I18nObject(en_US="Quality", zh_Hans="质量"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default="standard",
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="Quality of the generated image (standard or premium)", zh_Hans="生成图像的质量（标准或高级）"
-                ),
-            ),
-            ToolParameter(
-                name="colors",
-                label=I18nObject(en_US="Colors", zh_Hans="颜色"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="List of colors for color-guided generation, example: #ff8080-#ffb280-#ffe680-#ffe680",
-                    zh_Hans="颜色引导生成的颜色列表, 例子: #ff8080-#ffb280-#ffe680-#ffe680",
-                ),
-            ),
-            ToolParameter(
-                name="similarity_strength",
-                label=I18nObject(en_US="Similarity Strength", zh_Hans="相似度强度"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=0.5,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="How similar the generated image should be to the input image (0.0 to 1.0)",
-                    zh_Hans="生成的图像应该与输入图像的相似程度（0.0到1.0）",
-                ),
-            ),
-            ToolParameter(
-                name="mask_prompt",
-                label=I18nObject(en_US="Mask Prompt", zh_Hans="蒙版提示词"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="Text description to generate mask for inpainting/outpainting",
-                    zh_Hans="用于生成内补绘制/外补绘制蒙版的文本描述",
-                ),
-            ),
-            ToolParameter(
-                name="outpainting_mode",
-                label=I18nObject(en_US="Outpainting Mode", zh_Hans="外补绘制模式"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default="DEFAULT",
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="Mode for outpainting (DEFAULT or other supported modes)",
-                    zh_Hans="外补绘制的模式（DEFAULT或其他支持的模式）",
-                ),
-            ),
-        ]
-
-        return parameters
diff --git a/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml b/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml
deleted file mode 100644
index a72fd9c8ef..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml
+++ /dev/null
@@ -1,175 +0,0 @@
-identity:
-  name: nova_canvas
-  author: AWS
-  label:
-    en_US: AWS Bedrock Nova Canvas
-    zh_Hans: AWS Bedrock Nova Canvas
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for generating and modifying images using AWS Bedrock's Nova Canvas model. Supports text-to-image, color-guided generation, image variation, inpainting, outpainting, and background removal. Input parameters reference https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html
-    zh_Hans: 使用 AWS Bedrock 的 Nova Canvas 模型生成和修改图像的工具。支持文生图、颜色引导生成、图像变体、内补绘制、外补绘制和背景移除功能, 输入参数参考 https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html。
-  llm: Generate or modify images using AWS Bedrock's Nova Canvas model with multiple task types including text-to-image, color-guided generation, image variation, inpainting, outpainting, and background removal.
-parameters:
-  - name: task_type
-    type: string
-    required: false
-    default: TEXT_IMAGE
-    label:
-      en_US: Task Type
-      zh_Hans: 任务类型
-    human_description:
-      en_US: Type of image generation task (TEXT_IMAGE, COLOR_GUIDED_GENERATION, IMAGE_VARIATION, INPAINTING, OUTPAINTING, BACKGROUND_REMOVAL)
-      zh_Hans: 图像生成任务的类型（文生图、颜色引导生成、图像变体、内补绘制、外补绘制、背景移除）
-    form: llm
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: Text description of the image you want to generate or modify
-      zh_Hans: 您想要生成或修改的图像的文本描述
-    llm_description: Describe the image you want to generate or how you want to modify the input image
-    form: llm
-  - name: image_input_s3uri
-    type: string
-    required: false
-    label:
-      en_US: Input image s3 uri
-      zh_Hans: 输入图片的s3 uri
-    human_description:
-      en_US: The input image to modify (required for all modes except TEXT_IMAGE)
-      zh_Hans: 要修改的输入图像（除文生图外的所有模式都需要）
-    llm_description: The input image you want to modify. Required for all modes except TEXT_IMAGE.
-    form: llm
-  - name: image_output_s3uri
-    type: string
-    required: true
-    label:
-      en_US: Output S3 URI
-      zh_Hans: 输出S3 URI
-    human_description:
-      en_US: The S3 URI where the generated image will be saved. If provided, the image will be uploaded with name format canvas-output-{timestamp}.png
-      zh_Hans: 生成的图像将保存到的S3 URI。如果提供，图像将以canvas-output-{timestamp}.png的格式上传
-    llm_description: Optional S3 URI where the generated image will be uploaded. The image will be saved with a timestamp-based filename.
-    form: form
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: Negative Prompt
-      zh_Hans: 负面提示词
-    human_description:
-      en_US: Things you don't want in the generated image
-      zh_Hans: 您不想在生成的图像中出现的内容
-    form: llm
-  - name: width
-    type: number
-    required: false
-    label:
-      en_US: Width
-      zh_Hans: 宽度
-    human_description:
-      en_US: Width of the generated image
-      zh_Hans: 生成图像的宽度
-    form: form
-    default: 1024
-  - name: height
-    type: number
-    required: false
-    label:
-      en_US: Height
-      zh_Hans: 高度
-    human_description:
-      en_US: Height of the generated image
-      zh_Hans: 生成图像的高度
-    form: form
-    default: 1024
-  - name: cfg_scale
-    type: number
-    required: false
-    label:
-      en_US: CFG Scale
-      zh_Hans: CFG比例
-    human_description:
-      en_US: How strongly the image should conform to the prompt
-      zh_Hans: 图像应该多大程度上符合提示词
-    form: form
-    default: 8.0
-  - name: seed
-    type: number
-    required: false
-    label:
-      en_US: Seed
-      zh_Hans: 种子值
-    human_description:
-      en_US: Random seed for image generation
-      zh_Hans: 图像生成的随机种子
-    form: form
-    default: 0
-  - name: aws_region
-    type: string
-    required: false
-    default: us-east-1
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS 区域
-    human_description:
-      en_US: AWS region for Bedrock service
-      zh_Hans: Bedrock 服务的 AWS 区域
-    form: form
-  - name: quality
-    type: string
-    required: false
-    default: standard
-    label:
-      en_US: Quality
-      zh_Hans: 质量
-    human_description:
-      en_US: Quality of the generated image (standard or premium)
-      zh_Hans: 生成图像的质量（标准或高级）
-    form: form
-  - name: colors
-    type: string
-    required: false
-    label:
-      en_US: Colors
-      zh_Hans: 颜色
-    human_description:
-      en_US: List of colors for color-guided generation
-      zh_Hans: 颜色引导生成的颜色列表
-    form: form
-  - name: similarity_strength
-    type: number
-    required: false
-    default: 0.5
-    label:
-      en_US: Similarity Strength
-      zh_Hans: 相似度强度
-    human_description:
-      en_US: How similar the generated image should be to the input image (0.0 to 1.0)
-      zh_Hans: 生成的图像应该与输入图像的相似程度（0.0到1.0）
-    form: form
-  - name: mask_prompt
-    type: string
-    required: false
-    label:
-      en_US: Mask Prompt
-      zh_Hans: 蒙版提示词
-    human_description:
-      en_US: Text description to generate mask for inpainting/outpainting
-      zh_Hans: 用于生成内补绘制/外补绘制蒙版的文本描述
-    form: llm
-  - name: outpainting_mode
-    type: string
-    required: false
-    default: DEFAULT
-    label:
-      en_US: Outpainting Mode
-      zh_Hans: 外补绘制模式
-    human_description:
-      en_US: Mode for outpainting (DEFAULT or other supported modes)
-      zh_Hans: 外补绘制的模式（DEFAULT或其他支持的模式）
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/nova_reel.py b/api/core/tools/provider/builtin/aws/tools/nova_reel.py
deleted file mode 100644
index 848df0b36b..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/nova_reel.py
+++ /dev/null
@@ -1,370 +0,0 @@
-import base64
-import logging
-import time
-from io import BytesIO
-from typing import Any, Optional, Union
-from urllib.parse import urlparse
-
-import boto3
-from botocore.exceptions import ClientError
-from PIL import Image
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-NOVA_REEL_DEFAULT_REGION = "us-east-1"
-NOVA_REEL_DEFAULT_DIMENSION = "1280x720"
-NOVA_REEL_DEFAULT_FPS = 24
-NOVA_REEL_DEFAULT_DURATION = 6
-NOVA_REEL_MODEL_ID = "amazon.nova-reel-v1:0"
-NOVA_REEL_STATUS_CHECK_INTERVAL = 5
-
-# Image requirements
-NOVA_REEL_REQUIRED_IMAGE_WIDTH = 1280
-NOVA_REEL_REQUIRED_IMAGE_HEIGHT = 720
-NOVA_REEL_REQUIRED_IMAGE_MODE = "RGB"
-
-
-class NovaReelTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke AWS Bedrock Nova Reel model for video generation.
-
-        Args:
-            user_id: The ID of the user making the request
-            tool_parameters: Dictionary containing the tool parameters
-
-        Returns:
-            ToolInvokeMessage containing either the video content or status information
-        """
-        try:
-            # Validate and extract parameters
-            params = self._validate_and_extract_parameters(tool_parameters)
-            if isinstance(params, ToolInvokeMessage):
-                return params
-
-            # Initialize AWS clients
-            bedrock, s3_client = self._initialize_aws_clients(params["aws_region"])
-
-            # Prepare model input
-            model_input = self._prepare_model_input(params, s3_client)
-            if isinstance(model_input, ToolInvokeMessage):
-                return model_input
-
-            # Start video generation
-            invocation = self._start_video_generation(bedrock, model_input, params["video_output_s3uri"])
-            invocation_arn = invocation["invocationArn"]
-
-            # Handle async/sync mode
-            return self._handle_generation_mode(bedrock, s3_client, invocation_arn, params["async_mode"])
-
-        except ClientError as e:
-            error_code = e.response.get("Error", {}).get("Code", "Unknown")
-            error_message = e.response.get("Error", {}).get("Message", str(e))
-            logger.exception(f"AWS API error: {error_code} - {error_message}")
-            return self.create_text_message(f"AWS service error: {error_code} - {error_message}")
-        except Exception as e:
-            logger.error(f"Unexpected error in video generation: {str(e)}", exc_info=True)
-            return self.create_text_message(f"Failed to generate video: {str(e)}")
-
-    def _validate_and_extract_parameters(
-        self, tool_parameters: dict[str, Any]
-    ) -> Union[dict[str, Any], ToolInvokeMessage]:
-        """Validate and extract parameters from the input dictionary."""
-        prompt = tool_parameters.get("prompt", "")
-        video_output_s3uri = tool_parameters.get("video_output_s3uri", "").strip()
-
-        # Validate required parameters
-        if not prompt:
-            return self.create_text_message("Please provide a text prompt for video generation.")
-        if not video_output_s3uri:
-            return self.create_text_message("Please provide an S3 URI for video output.")
-
-        # Validate S3 URI format
-        if not video_output_s3uri.startswith("s3://"):
-            return self.create_text_message("Invalid S3 URI format. Must start with 's3://'")
-
-        # Ensure S3 URI ends with '/'
-        video_output_s3uri = video_output_s3uri if video_output_s3uri.endswith("/") else video_output_s3uri + "/"
-
-        return {
-            "prompt": prompt,
-            "video_output_s3uri": video_output_s3uri,
-            "image_input_s3uri": tool_parameters.get("image_input_s3uri", "").strip(),
-            "aws_region": tool_parameters.get("aws_region", NOVA_REEL_DEFAULT_REGION),
-            "dimension": tool_parameters.get("dimension", NOVA_REEL_DEFAULT_DIMENSION),
-            "seed": int(tool_parameters.get("seed", 0)),
-            "fps": int(tool_parameters.get("fps", NOVA_REEL_DEFAULT_FPS)),
-            "duration": int(tool_parameters.get("duration", NOVA_REEL_DEFAULT_DURATION)),
-            "async_mode": bool(tool_parameters.get("async", True)),
-        }
-
-    def _initialize_aws_clients(self, region: str) -> tuple[Any, Any]:
-        """Initialize AWS Bedrock and S3 clients."""
-        bedrock = boto3.client(service_name="bedrock-runtime", region_name=region)
-        s3_client = boto3.client("s3", region_name=region)
-        return bedrock, s3_client
-
-    def _prepare_model_input(self, params: dict[str, Any], s3_client: Any) -> Union[dict[str, Any], ToolInvokeMessage]:
-        """Prepare the input for the Nova Reel model."""
-        model_input = {
-            "taskType": "TEXT_VIDEO",
-            "textToVideoParams": {"text": params["prompt"]},
-            "videoGenerationConfig": {
-                "durationSeconds": params["duration"],
-                "fps": params["fps"],
-                "dimension": params["dimension"],
-                "seed": params["seed"],
-            },
-        }
-
-        # Add image if provided
-        if params["image_input_s3uri"]:
-            try:
-                image_data = self._get_image_from_s3(s3_client, params["image_input_s3uri"])
-                if not image_data:
-                    return self.create_text_message("Failed to retrieve image from S3")
-
-                # Process and validate image
-                processed_image = self._process_and_validate_image(image_data)
-                if isinstance(processed_image, ToolInvokeMessage):
-                    return processed_image
-
-                # Convert processed image to base64
-                img_buffer = BytesIO()
-                processed_image.save(img_buffer, format="PNG")
-                img_buffer.seek(0)
-                input_image_base64 = base64.b64encode(img_buffer.getvalue()).decode("utf-8")
-
-                model_input["textToVideoParams"]["images"] = [
-                    {"format": "png", "source": {"bytes": input_image_base64}}
-                ]
-            except Exception as e:
-                logger.error(f"Error processing input image: {str(e)}", exc_info=True)
-                return self.create_text_message(f"Failed to process input image: {str(e)}")
-
-        return model_input
-
-    def _process_and_validate_image(self, image_data: bytes) -> Union[Image.Image, ToolInvokeMessage]:
-        """
-        Process and validate the input image according to Nova Reel requirements.
-
-        Requirements:
-        - Must be 1280x720 pixels
-        - Must be RGB format (8 bits per channel)
-        - If PNG, alpha channel must not have transparent/translucent pixels
-        """
-        try:
-            # Open image
-            img = Image.open(BytesIO(image_data))
-
-            # Convert RGBA to RGB if needed, ensuring no transparency
-            if img.mode == "RGBA":
-                # Check for transparency
-                if img.getchannel("A").getextrema()[0] < 255:
-                    return self.create_text_message(
-                        "PNG image contains transparent or translucent pixels, which is not supported. "
-                        "Please provide an image without transparency."
-                    )
-                # Convert to RGB
-                img = img.convert("RGB")
-            elif img.mode != "RGB":
-                # Convert any other mode to RGB
-                img = img.convert("RGB")
-
-            # Validate/adjust dimensions
-            if img.size != (NOVA_REEL_REQUIRED_IMAGE_WIDTH, NOVA_REEL_REQUIRED_IMAGE_HEIGHT):
-                logger.warning(
-                    f"Image dimensions {img.size} do not match required dimensions "
-                    f"({NOVA_REEL_REQUIRED_IMAGE_WIDTH}x{NOVA_REEL_REQUIRED_IMAGE_HEIGHT}). Resizing..."
-                )
-                img = img.resize(
-                    (NOVA_REEL_REQUIRED_IMAGE_WIDTH, NOVA_REEL_REQUIRED_IMAGE_HEIGHT), Image.Resampling.LANCZOS
-                )
-
-            # Validate bit depth
-            if img.mode != NOVA_REEL_REQUIRED_IMAGE_MODE:
-                return self.create_text_message(
-                    f"Image must be in {NOVA_REEL_REQUIRED_IMAGE_MODE} mode with 8 bits per channel"
-                )
-
-            return img
-
-        except Exception as e:
-            logger.error(f"Error processing image: {str(e)}", exc_info=True)
-            return self.create_text_message(
-                "Failed to process image. Please ensure the image is a valid JPEG or PNG file."
-            )
-
-    def _get_image_from_s3(self, s3_client: Any, s3_uri: str) -> Optional[bytes]:
-        """Download and return image data from S3."""
-        parsed_uri = urlparse(s3_uri)
-        bucket = parsed_uri.netloc
-        key = parsed_uri.path.lstrip("/")
-
-        response = s3_client.get_object(Bucket=bucket, Key=key)
-        return response["Body"].read()
-
-    def _start_video_generation(self, bedrock: Any, model_input: dict[str, Any], output_s3uri: str) -> dict[str, Any]:
-        """Start the async video generation process."""
-        return bedrock.start_async_invoke(
-            modelId=NOVA_REEL_MODEL_ID,
-            modelInput=model_input,
-            outputDataConfig={"s3OutputDataConfig": {"s3Uri": output_s3uri}},
-        )
-
-    def _handle_generation_mode(
-        self, bedrock: Any, s3_client: Any, invocation_arn: str, async_mode: bool
-    ) -> ToolInvokeMessage:
-        """Handle async or sync video generation mode."""
-        invocation_response = bedrock.get_async_invoke(invocationArn=invocation_arn)
-        video_path = invocation_response["outputDataConfig"]["s3OutputDataConfig"]["s3Uri"]
-        video_uri = f"{video_path}/output.mp4"
-
-        if async_mode:
-            return self.create_text_message(
-                f"Video generation started.\nInvocation ARN: {invocation_arn}\nVideo will be available at: {video_uri}"
-            )
-
-        return self._wait_for_completion(bedrock, s3_client, invocation_arn)
-
-    def _wait_for_completion(self, bedrock: Any, s3_client: Any, invocation_arn: str) -> ToolInvokeMessage:
-        """Wait for video generation completion and handle the result."""
-        while True:
-            status_response = bedrock.get_async_invoke(invocationArn=invocation_arn)
-            status = status_response["status"]
-            video_path = status_response["outputDataConfig"]["s3OutputDataConfig"]["s3Uri"]
-
-            if status == "Completed":
-                return self._handle_completed_video(s3_client, video_path)
-            elif status == "Failed":
-                failure_message = status_response.get("failureMessage", "Unknown error")
-                return self.create_text_message(f"Video generation failed.\nError: {failure_message}")
-            elif status == "InProgress":
-                time.sleep(NOVA_REEL_STATUS_CHECK_INTERVAL)
-            else:
-                return self.create_text_message(f"Unexpected status: {status}")
-
-    def _handle_completed_video(self, s3_client: Any, video_path: str) -> ToolInvokeMessage:
-        """Handle completed video generation and return the result."""
-        parsed_uri = urlparse(video_path)
-        bucket = parsed_uri.netloc
-        key = parsed_uri.path.lstrip("/") + "/output.mp4"
-
-        try:
-            response = s3_client.get_object(Bucket=bucket, Key=key)
-            video_content = response["Body"].read()
-            return [
-                self.create_text_message(f"Video is available at: {video_path}/output.mp4"),
-                self.create_blob_message(blob=video_content, meta={"mime_type": "video/mp4"}, save_as="output.mp4"),
-            ]
-        except Exception as e:
-            logger.error(f"Error downloading video: {str(e)}", exc_info=True)
-            return self.create_text_message(
-                f"Video generation completed but failed to download video: {str(e)}\n"
-                f"Video is available at: s3://{bucket}/{key}"
-            )
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        """Define the tool's runtime parameters."""
-        parameters = [
-            ToolParameter(
-                name="prompt",
-                label=I18nObject(en_US="Prompt", zh_Hans="提示词"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=True,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="Text description of the video you want to generate", zh_Hans="您想要生成的视频的文本描述"
-                ),
-                llm_description="Describe the video you want to generate",
-            ),
-            ToolParameter(
-                name="video_output_s3uri",
-                label=I18nObject(en_US="Output S3 URI", zh_Hans="输出S3 URI"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=True,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="S3 URI where the generated video will be stored", zh_Hans="生成的视频将存储的S3 URI"
-                ),
-            ),
-            ToolParameter(
-                name="dimension",
-                label=I18nObject(en_US="Dimension", zh_Hans="尺寸"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default=NOVA_REEL_DEFAULT_DIMENSION,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Video dimensions (width x height)", zh_Hans="视频尺寸（宽 x 高）"),
-            ),
-            ToolParameter(
-                name="duration",
-                label=I18nObject(en_US="Duration", zh_Hans="时长"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=NOVA_REEL_DEFAULT_DURATION,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Video duration in seconds", zh_Hans="视频时长（秒）"),
-            ),
-            ToolParameter(
-                name="seed",
-                label=I18nObject(en_US="Seed", zh_Hans="种子值"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=0,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="Random seed for video generation", zh_Hans="视频生成的随机种子"),
-            ),
-            ToolParameter(
-                name="fps",
-                label=I18nObject(en_US="FPS", zh_Hans="帧率"),
-                type=ToolParameter.ToolParameterType.NUMBER,
-                required=False,
-                default=NOVA_REEL_DEFAULT_FPS,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(
-                    en_US="Frames per second for the generated video", zh_Hans="生成视频的每秒帧数"
-                ),
-            ),
-            ToolParameter(
-                name="async",
-                label=I18nObject(en_US="Async Mode", zh_Hans="异步模式"),
-                type=ToolParameter.ToolParameterType.BOOLEAN,
-                required=False,
-                default=True,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="Whether to run in async mode (return immediately) or sync mode (wait for completion)",
-                    zh_Hans="是否以异步模式运行（立即返回）或同步模式（等待完成）",
-                ),
-            ),
-            ToolParameter(
-                name="aws_region",
-                label=I18nObject(en_US="AWS Region", zh_Hans="AWS 区域"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                default=NOVA_REEL_DEFAULT_REGION,
-                form=ToolParameter.ToolParameterForm.FORM,
-                human_description=I18nObject(en_US="AWS region for Bedrock service", zh_Hans="Bedrock 服务的 AWS 区域"),
-            ),
-            ToolParameter(
-                name="image_input_s3uri",
-                label=I18nObject(en_US="Input Image S3 URI", zh_Hans="输入图像S3 URI"),
-                type=ToolParameter.ToolParameterType.STRING,
-                required=False,
-                form=ToolParameter.ToolParameterForm.LLM,
-                human_description=I18nObject(
-                    en_US="S3 URI of the input image (1280x720 JPEG/PNG) to use as first frame",
-                    zh_Hans="用作第一帧的输入图像（1280x720 JPEG/PNG）的S3 URI",
-                ),
-            ),
-        ]
-
-        return parameters
diff --git a/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml b/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml
deleted file mode 100644
index 16df5ba5c9..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml
+++ /dev/null
@@ -1,124 +0,0 @@
-identity:
-  name: nova_reel
-  author: AWS
-  label:
-    en_US: AWS Bedrock Nova Reel
-    zh_Hans: AWS Bedrock Nova Reel
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for generating videos using AWS Bedrock's Nova Reel model. Supports text-to-video generation and image-to-video generation with customizable parameters like duration, FPS, and dimensions. Input parameters reference https://docs.aws.amazon.com/nova/latest/userguide/video-generation.html
-    zh_Hans: 使用 AWS Bedrock 的 Nova Reel 模型生成视频的工具。支持文本生成视频和图像生成视频功能，可自定义持续时间、帧率和尺寸等参数。输入参数参考 https://docs.aws.amazon.com/nova/latest/userguide/video-generation.html
-  llm: Generate videos using AWS Bedrock's Nova Reel model with support for both text-to-video and image-to-video generation, allowing customization of video properties like duration, frame rate, and resolution.
-
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: Text description of the video you want to generate
-      zh_Hans: 您想要生成的视频的文本描述
-    llm_description: Describe the video you want to generate
-    form: llm
-
-  - name: video_output_s3uri
-    type: string
-    required: true
-    label:
-      en_US: Output S3 URI
-      zh_Hans: 输出S3 URI
-    human_description:
-      en_US: S3 URI where the generated video will be stored
-      zh_Hans: 生成的视频将存储的S3 URI
-    form: form
-
-  - name: dimension
-    type: string
-    required: false
-    default: 1280x720
-    label:
-      en_US: Dimension
-      zh_Hans: 尺寸
-    human_description:
-      en_US: Video dimensions (width x height)
-      zh_Hans: 视频尺寸（宽 x 高）
-    form: form
-
-  - name: duration
-    type: number
-    required: false
-    default: 6
-    label:
-      en_US: Duration
-      zh_Hans: 时长
-    human_description:
-      en_US: Video duration in seconds
-      zh_Hans: 视频时长（秒）
-    form: form
-
-  - name: seed
-    type: number
-    required: false
-    default: 0
-    label:
-      en_US: Seed
-      zh_Hans: 种子值
-    human_description:
-      en_US: Random seed for video generation
-      zh_Hans: 视频生成的随机种子
-    form: form
-
-  - name: fps
-    type: number
-    required: false
-    default: 24
-    label:
-      en_US: FPS
-      zh_Hans: 帧率
-    human_description:
-      en_US: Frames per second for the generated video
-      zh_Hans: 生成视频的每秒帧数
-    form: form
-
-  - name: async
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Async Mode
-      zh_Hans: 异步模式
-    human_description:
-      en_US: Whether to run in async mode (return immediately) or sync mode (wait for completion)
-      zh_Hans: 是否以异步模式运行（立即返回）或同步模式（等待完成）
-    form: llm
-
-  - name: aws_region
-    type: string
-    required: false
-    default: us-east-1
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS 区域
-    human_description:
-      en_US: AWS region for Bedrock service
-      zh_Hans: Bedrock 服务的 AWS 区域
-    form: form
-
-  - name: image_input_s3uri
-    type: string
-    required: false
-    label:
-      en_US: Input Image S3 URI
-      zh_Hans: 输入图像S3 URI
-    human_description:
-      en_US: S3 URI of the input image (1280x720 JPEG/PNG) to use as first frame
-      zh_Hans: 用作第一帧的输入图像（1280x720 JPEG/PNG）的S3 URI
-    form: llm
-
-development:
-  dependencies:
-    - boto3
-    - pillow
diff --git a/api/core/tools/provider/builtin/aws/tools/s3_operator.py b/api/core/tools/provider/builtin/aws/tools/s3_operator.py
deleted file mode 100644
index e4026b07a8..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/s3_operator.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from typing import Any, Union
-from urllib.parse import urlparse
-
-import boto3
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class S3Operator(BuiltinTool):
-    s3_client: Any = None
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            # Initialize S3 client if not already done
-            if not self.s3_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.s3_client = boto3.client("s3", region_name=aws_region)
-                else:
-                    self.s3_client = boto3.client("s3")
-
-            # Parse S3 URI
-            s3_uri = tool_parameters.get("s3_uri")
-            if not s3_uri:
-                return self.create_text_message("s3_uri parameter is required")
-
-            parsed_uri = urlparse(s3_uri)
-            if parsed_uri.scheme != "s3":
-                return self.create_text_message("Invalid S3 URI format. Must start with 's3://'")
-
-            bucket = parsed_uri.netloc
-            # Remove leading slash from key
-            key = parsed_uri.path.lstrip("/")
-
-            operation_type = tool_parameters.get("operation_type", "read")
-            generate_presign_url = tool_parameters.get("generate_presign_url", False)
-            presign_expiry = int(tool_parameters.get("presign_expiry", 3600))  # default 1 hour
-
-            if operation_type == "write":
-                text_content = tool_parameters.get("text_content")
-                if not text_content:
-                    return self.create_text_message("text_content parameter is required for write operation")
-
-                # Write content to S3
-                self.s3_client.put_object(Bucket=bucket, Key=key, Body=text_content.encode("utf-8"))
-                result = f"s3://{bucket}/{key}"
-
-                # Generate presigned URL for the written object if requested
-                if generate_presign_url:
-                    result = self.s3_client.generate_presigned_url(
-                        "get_object", Params={"Bucket": bucket, "Key": key}, ExpiresIn=presign_expiry
-                    )
-
-            else:  # read operation
-                # Get object from S3
-                response = self.s3_client.get_object(Bucket=bucket, Key=key)
-                result = response["Body"].read().decode("utf-8")
-
-                # Generate presigned URL if requested
-                if generate_presign_url:
-                    result = self.s3_client.generate_presigned_url(
-                        "get_object", Params={"Bucket": bucket, "Key": key}, ExpiresIn=presign_expiry
-                    )
-
-            return self.create_text_message(text=result)
-
-        except self.s3_client.exceptions.NoSuchBucket:
-            return self.create_text_message(f"Bucket '{bucket}' does not exist")
-        except self.s3_client.exceptions.NoSuchKey:
-            return self.create_text_message(f"Object '{key}' does not exist in bucket '{bucket}'")
-        except Exception as e:
-            return self.create_text_message(f"Exception: {str(e)}")
diff --git a/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml b/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml
deleted file mode 100644
index 642fc2966e..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml
+++ /dev/null
@@ -1,98 +0,0 @@
-identity:
-  name: s3_operator
-  author: AWS
-  label:
-    en_US: AWS S3 Operator
-    zh_Hans: AWS S3 读写器
-    pt_BR: AWS S3 Operator
-  icon: icon.svg
-description:
-  human:
-    en_US: AWS S3 Writer and Reader
-    zh_Hans: 读写S3 bucket中的文件
-    pt_BR: AWS S3 Writer and Reader
-  llm: AWS S3 Writer and Reader
-parameters:
-  - name: text_content
-    type: string
-    required: false
-    label:
-      en_US: The text to write
-      zh_Hans: 待写入的文本
-      pt_BR: The text to write
-    human_description:
-      en_US: The text to write
-      zh_Hans: 待写入的文本
-      pt_BR: The text to write
-    llm_description: The text to write
-    form: llm
-  - name: s3_uri
-    type: string
-    required: true
-    label:
-      en_US: s3 uri
-      zh_Hans: s3 uri
-      pt_BR: s3 uri
-    human_description:
-      en_US: s3 uri
-      zh_Hans: s3 uri
-      pt_BR: s3 uri
-    llm_description: s3 uri
-    form: llm
-  - name: aws_region
-    type: string
-    required: true
-    label:
-      en_US: region of bucket
-      zh_Hans: bucket 所在的region
-      pt_BR: region of bucket
-    human_description:
-      en_US: region of bucket
-      zh_Hans: bucket 所在的region
-      pt_BR: region of bucket
-    llm_description: region of bucket
-    form: form
-  - name: operation_type
-    type: select
-    required: true
-    label:
-      en_US: operation type
-      zh_Hans: 操作类型
-      pt_BR: operation type
-    human_description:
-      en_US: operation type
-      zh_Hans: 操作类型
-      pt_BR: operation type
-    default: read
-    options:
-      - value: read
-        label:
-          en_US: read
-          zh_Hans: 读
-      - value: write
-        label:
-          en_US: write
-          zh_Hans: 写
-    form: form
-  - name: generate_presign_url
-    type: boolean
-    required: false
-    label:
-      en_US: Generate presigned URL
-      zh_Hans: 生成预签名URL
-    human_description:
-      en_US: Whether to generate a presigned URL for the S3 object
-      zh_Hans: 是否生成S3对象的预签名URL
-    default: false
-    form: form
-  - name: presign_expiry
-    type: number
-    required: false
-    label:
-      en_US: Presigned URL expiration time
-      zh_Hans: 预签名URL有效期
-    human_description:
-      en_US: Expiration time in seconds for the presigned URL
-      zh_Hans: 预签名URL的有效期（秒）
-    default: 3600
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py
deleted file mode 100644
index 3d88f28dbd..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import json
-from typing import Any, Union
-
-import boto3
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-# Define label mappings
-LABEL_MAPPING = {0: "SAFE", 1: "NO_SAFE"}
-
-
-class ContentModerationTool(BuiltinTool):
-    sagemaker_client: Any = None
-    sagemaker_endpoint: str = None
-
-    def _invoke_sagemaker(self, payload: dict, endpoint: str):
-        response = self.sagemaker_client.invoke_endpoint(
-            EndpointName=endpoint,
-            Body=json.dumps(payload),
-            ContentType="application/json",
-        )
-        # Parse response
-        response_body = response["Body"].read().decode("utf8")
-
-        json_obj = json.loads(response_body)
-
-        # Handle nested JSON if present
-        if isinstance(json_obj, dict) and "body" in json_obj:
-            body_content = json.loads(json_obj["body"])
-            prediction_result = body_content.get("prediction")
-        else:
-            prediction_result = json_obj.get("prediction")
-
-        # Map labels and return
-        result = LABEL_MAPPING.get(prediction_result, "NO_SAFE")  # If not found in mapping, default to NO_SAFE
-        return result
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            if not self.sagemaker_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-
-            if not self.sagemaker_endpoint:
-                self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint")
-
-            content_text = tool_parameters.get("content_text")
-
-            payload = {"text": content_text}
-
-            result = self._invoke_sagemaker(payload, self.sagemaker_endpoint)
-
-            return self.create_text_message(text=result)
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}")
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml
deleted file mode 100644
index 76dcb89632..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  name: chinese_toxicity_detector
-  author: AWS
-  label:
-    en_US: Chinese Toxicity Detector
-    zh_Hans: 中文有害内容检测
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool to detect Chinese toxicity
-    zh_Hans: 检测中文有害内容的工具
-  llm: A tool that checks if Chinese content is safe for work
-parameters:
-  - name: sagemaker_endpoint
-    type: string
-    required: true
-    label:
-      en_US: sagemaker endpoint for moderation
-      zh_Hans: 内容审核的SageMaker端点
-    human_description:
-      en_US: sagemaker endpoint for content moderation
-      zh_Hans: 内容审核的SageMaker端点
-    llm_description: sagemaker endpoint for content moderation
-    form: form
-  - name: content_text
-    type: string
-    required: true
-    label:
-      en_US: content text
-      zh_Hans: 待审核文本
-    human_description:
-      en_US: text content to be moderated
-      zh_Hans: 需要审核的文本内容
-    llm_description: text content to be moderated
-    form: llm
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-    human_description:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-    llm_description: region of sagemaker endpoint
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py
deleted file mode 100644
index 8320bd84ef..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import json
-import operator
-from typing import Any, Union
-
-import boto3  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SageMakerReRankTool(BuiltinTool):
-    sagemaker_client: Any = None
-    sagemaker_endpoint: str = None
-
-    def _sagemaker_rerank(self, query_input: str, docs: list[str], rerank_endpoint: str):
-        inputs = [query_input] * len(docs)
-        response_model = self.sagemaker_client.invoke_endpoint(
-            EndpointName=rerank_endpoint,
-            Body=json.dumps({"inputs": inputs, "docs": docs}),
-            ContentType="application/json",
-        )
-        json_str = response_model["Body"].read().decode("utf8")
-        json_obj = json.loads(json_str)
-        scores = json_obj["scores"]
-        return scores if isinstance(scores, list) else [scores]
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        line = 0
-        try:
-            if not self.sagemaker_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-
-            line = 1
-            if not self.sagemaker_endpoint:
-                self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint")
-
-            line = 2
-            topk = tool_parameters.get("topk", 5)
-
-            line = 3
-            query = tool_parameters.get("query", "")
-            if not query:
-                return self.create_text_message("Please input query")
-
-            line = 4
-            candidate_texts = tool_parameters.get("candidate_texts")
-            if not candidate_texts:
-                return self.create_text_message("Please input candidate_texts")
-
-            line = 5
-            candidate_docs = json.loads(candidate_texts)
-            docs = [item.get("content") for item in candidate_docs]
-
-            line = 6
-            scores = self._sagemaker_rerank(query_input=query, docs=docs, rerank_endpoint=self.sagemaker_endpoint)
-
-            line = 7
-            for idx in range(len(candidate_docs)):
-                candidate_docs[idx]["score"] = scores[idx]
-
-            line = 8
-            sorted_candidate_docs = sorted(candidate_docs, key=operator.itemgetter("score"), reverse=True)
-
-            line = 9
-            return [self.create_json_message(res) for res in sorted_candidate_docs[:topk]]
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}, line : {line}")
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml
deleted file mode 100644
index d1dfdb9f84..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml
+++ /dev/null
@@ -1,82 +0,0 @@
-identity:
-  name: sagemaker_text_rerank
-  author: AWS
-  label:
-    en_US: SagemakerRerank
-    zh_Hans: Sagemaker重排序
-    pt_BR: SagemakerRerank
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for performing text similarity ranking. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool
-    zh_Hans: Sagemaker重排序工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署脚本
-    pt_BR: A tool for performing text similarity ranking.
-  llm: A tool for performing text similarity ranking. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool
-parameters:
-  - name: sagemaker_endpoint
-    type: string
-    required: true
-    label:
-      en_US: sagemaker endpoint for reranking
-      zh_Hans: 重排序的SageMaker 端点
-      pt_BR: sagemaker endpoint for reranking
-    human_description:
-      en_US: sagemaker endpoint for reranking
-      zh_Hans: 重排序的SageMaker 端点
-      pt_BR: sagemaker endpoint for reranking
-    llm_description: sagemaker endpoint for reranking
-    form: form
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: key words for searching
-      zh_Hans: 查询关键词
-      pt_BR: key words for searching
-    llm_description: key words for searching
-    form: llm
-  - name: candidate_texts
-    type: string
-    required: true
-    label:
-      en_US: text candidates
-      zh_Hans: 候选文本
-      pt_BR: text candidates
-    human_description:
-      en_US: searched candidates by query
-      zh_Hans: 查询文本搜到候选文本
-      pt_BR: searched candidates by query
-    llm_description: searched candidates by query
-    form: llm
-  - name: topk
-    type: number
-    required: false
-    form: form
-    label:
-      en_US: Limit for results count
-      zh_Hans: 返回个数限制
-      pt_BR: Limit for results count
-    human_description:
-      en_US: Limit for results count
-      zh_Hans: 返回个数限制
-      pt_BR: Limit for results count
-    min: 1
-    max: 10
-    default: 5
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-      pt_BR: region of sagemaker endpoint
-    human_description:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-      pt_BR: region of sagemaker endpoint
-    llm_description: region of sagemaker endpoint
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py
deleted file mode 100644
index 55cff89798..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py
+++ /dev/null
@@ -1,101 +0,0 @@
-import json
-from enum import Enum
-from typing import Any, Optional, Union
-
-import boto3  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class TTSModelType(Enum):
-    PresetVoice = "PresetVoice"
-    CloneVoice = "CloneVoice"
-    CloneVoice_CrossLingual = "CloneVoice_CrossLingual"
-    InstructVoice = "InstructVoice"
-
-
-class SageMakerTTSTool(BuiltinTool):
-    sagemaker_client: Any = None
-    sagemaker_endpoint: str | None = None
-    s3_client: Any = None
-    comprehend_client: Any = None
-
-    def _detect_lang_code(self, content: str, map_dict: Optional[dict] = None):
-        map_dict = {"zh": "<|zh|>", "en": "<|en|>", "ja": "<|jp|>", "zh-TW": "<|yue|>", "ko": "<|ko|>"}
-
-        response = self.comprehend_client.detect_dominant_language(Text=content)
-        language_code = response["Languages"][0]["LanguageCode"]
-        return map_dict.get(language_code, "<|zh|>")
-
-    def _build_tts_payload(
-        self,
-        model_type: str,
-        content_text: str,
-        model_role: str,
-        prompt_text: str,
-        prompt_audio: str,
-        instruct_text: str,
-    ):
-        if model_type == TTSModelType.PresetVoice.value and model_role:
-            return {"tts_text": content_text, "role": model_role}
-        if model_type == TTSModelType.CloneVoice.value and prompt_text and prompt_audio:
-            return {"tts_text": content_text, "prompt_text": prompt_text, "prompt_audio": prompt_audio}
-        if model_type == TTSModelType.CloneVoice_CrossLingual.value and prompt_audio:
-            lang_tag = self._detect_lang_code(content_text)
-            return {"tts_text": f"{content_text}", "prompt_audio": prompt_audio, "lang_tag": lang_tag}
-        if model_type == TTSModelType.InstructVoice.value and instruct_text and model_role:
-            return {"tts_text": content_text, "role": model_role, "instruct_text": instruct_text}
-
-        raise RuntimeError(f"Invalid params for {model_type}")
-
-    def _invoke_sagemaker(self, payload: dict, endpoint: str):
-        response_model = self.sagemaker_client.invoke_endpoint(
-            EndpointName=endpoint,
-            Body=json.dumps(payload),
-            ContentType="application/json",
-        )
-        json_str = response_model["Body"].read().decode("utf8")
-        json_obj = json.loads(json_str)
-        return json_obj
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            if not self.sagemaker_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
-                    self.s3_client = boto3.client("s3", region_name=aws_region)
-                    self.comprehend_client = boto3.client("comprehend", region_name=aws_region)
-                else:
-                    self.sagemaker_client = boto3.client("sagemaker-runtime")
-                    self.s3_client = boto3.client("s3")
-                    self.comprehend_client = boto3.client("comprehend")
-
-            if not self.sagemaker_endpoint:
-                self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint")
-
-            tts_text = tool_parameters.get("tts_text")
-            tts_infer_type = tool_parameters.get("tts_infer_type")
-
-            voice = tool_parameters.get("voice")
-            mock_voice_audio = tool_parameters.get("mock_voice_audio")
-            mock_voice_text = tool_parameters.get("mock_voice_text")
-            voice_instruct_prompt = tool_parameters.get("voice_instruct_prompt")
-            payload = self._build_tts_payload(
-                tts_infer_type, tts_text, voice, mock_voice_text, mock_voice_audio, voice_instruct_prompt
-            )
-
-            result = self._invoke_sagemaker(payload, self.sagemaker_endpoint)
-
-            return self.create_text_message(text=result["s3_presign_url"])
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}")
diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml
deleted file mode 100644
index a6a61dd4aa..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml
+++ /dev/null
@@ -1,149 +0,0 @@
-identity:
-  name: sagemaker_tts
-  author: AWS
-  label:
-    en_US: SagemakerTTS
-    zh_Hans: Sagemaker语音合成
-    pt_BR: SagemakerTTS
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for Speech synthesis - https://github.com/aws-samples/dify-aws-tool
-    zh_Hans: Sagemaker语音合成工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署脚本
-    pt_BR: A tool for Speech synthesis.
-  llm: A tool for Speech synthesis. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool
-parameters:
-  - name: sagemaker_endpoint
-    type: string
-    required: true
-    label:
-      en_US: sagemaker endpoint for tts
-      zh_Hans: 语音生成的SageMaker端点
-      pt_BR: sagemaker endpoint for tts
-    human_description:
-      en_US: sagemaker endpoint for tts
-      zh_Hans: 语音生成的SageMaker端点
-      pt_BR: sagemaker endpoint for tts
-    llm_description: sagemaker endpoint for tts
-    form: form
-  - name: tts_text
-    type: string
-    required: true
-    label:
-      en_US: tts text
-      zh_Hans: 语音合成原文
-      pt_BR: tts text
-    human_description:
-      en_US: tts text
-      zh_Hans: 语音合成原文
-      pt_BR: tts text
-    llm_description: tts text
-    form: llm
-  - name: tts_infer_type
-    type: select
-    required: false
-    label:
-      en_US: tts infer type
-      zh_Hans: 合成方式
-      pt_BR: tts infer type
-    human_description:
-      en_US: tts infer type
-      zh_Hans: 合成方式
-      pt_BR: tts infer type
-    llm_description: tts infer type
-    options:
-      - value: PresetVoice
-        label:
-          en_US: preset voice
-          zh_Hans: 预置音色
-      - value: CloneVoice
-        label:
-          en_US: clone voice
-          zh_Hans: 克隆音色
-      - value: CloneVoice_CrossLingual
-        label:
-          en_US: clone crossLingual voice
-          zh_Hans: 克隆音色(跨语言)
-      - value: InstructVoice
-        label:
-          en_US: instruct voice
-          zh_Hans: 指令音色
-    form: form
-  - name: voice
-    type: select
-    required: false
-    label:
-      en_US: preset voice
-      zh_Hans: 预置音色
-      pt_BR: preset voice
-    human_description:
-      en_US: preset voice
-      zh_Hans: 预置音色
-      pt_BR: preset voice
-    llm_description: preset voice
-    options:
-      - value: 中文男
-        label:
-          en_US: zh-cn male
-          zh_Hans: 中文男
-      - value: 中文女
-        label:
-          en_US: zh-cn female
-          zh_Hans: 中文女
-      - value: 粤语女
-        label:
-          en_US: zh-TW female
-          zh_Hans: 粤语女
-    form: form
-  - name: mock_voice_audio
-    type: string
-    required: false
-    label:
-      en_US: clone voice link
-      zh_Hans: 克隆音频链接
-      pt_BR: clone voice link
-    human_description:
-      en_US: clone voice link
-      zh_Hans: 克隆音频链接
-      pt_BR: clone voice link
-    llm_description: clone voice link
-    form: llm
-  - name: mock_voice_text
-    type: string
-    required: false
-    label:
-      en_US: text of clone voice
-      zh_Hans: 克隆音频对应文本
-      pt_BR: text of clone voice
-    human_description:
-      en_US: text of clone voice
-      zh_Hans: 克隆音频对应文本
-      pt_BR: text of clone voice
-    llm_description: text of clone voice
-    form: llm
-  - name: voice_instruct_prompt
-    type: string
-    required: false
-    label:
-      en_US: instruct prompt for voice
-      zh_Hans: 音色指令文本
-      pt_BR: instruct prompt for voice
-    human_description:
-      en_US: instruct prompt for voice
-      zh_Hans: 音色指令文本
-      pt_BR: instruct prompt for voice
-    llm_description: instruct prompt for voice
-    form: llm
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-      pt_BR: region of sagemaker endpoint
-    human_description:
-      en_US: region of sagemaker endpoint
-      zh_Hans: SageMaker 端点所在的region
-      pt_BR: region of sagemaker endpoint
-    llm_description: region of sagemaker endpoint
-    form: form
diff --git a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py b/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py
deleted file mode 100644
index 7520f6bca8..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py
+++ /dev/null
@@ -1,418 +0,0 @@
-import json
-import logging
-import os
-import re
-import time
-import uuid
-from typing import Any, Union
-from urllib.parse import urlparse
-
-import boto3
-import requests
-from botocore.exceptions import ClientError
-from requests.exceptions import RequestException
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-LanguageCodeOptions = [
-    "af-ZA",
-    "ar-AE",
-    "ar-SA",
-    "da-DK",
-    "de-CH",
-    "de-DE",
-    "en-AB",
-    "en-AU",
-    "en-GB",
-    "en-IE",
-    "en-IN",
-    "en-US",
-    "en-WL",
-    "es-ES",
-    "es-US",
-    "fa-IR",
-    "fr-CA",
-    "fr-FR",
-    "he-IL",
-    "hi-IN",
-    "id-ID",
-    "it-IT",
-    "ja-JP",
-    "ko-KR",
-    "ms-MY",
-    "nl-NL",
-    "pt-BR",
-    "pt-PT",
-    "ru-RU",
-    "ta-IN",
-    "te-IN",
-    "tr-TR",
-    "zh-CN",
-    "zh-TW",
-    "th-TH",
-    "en-ZA",
-    "en-NZ",
-    "vi-VN",
-    "sv-SE",
-    "ab-GE",
-    "ast-ES",
-    "az-AZ",
-    "ba-RU",
-    "be-BY",
-    "bg-BG",
-    "bn-IN",
-    "bs-BA",
-    "ca-ES",
-    "ckb-IQ",
-    "ckb-IR",
-    "cs-CZ",
-    "cy-WL",
-    "el-GR",
-    "et-ET",
-    "eu-ES",
-    "fi-FI",
-    "gl-ES",
-    "gu-IN",
-    "ha-NG",
-    "hr-HR",
-    "hu-HU",
-    "hy-AM",
-    "is-IS",
-    "ka-GE",
-    "kab-DZ",
-    "kk-KZ",
-    "kn-IN",
-    "ky-KG",
-    "lg-IN",
-    "lt-LT",
-    "lv-LV",
-    "mhr-RU",
-    "mi-NZ",
-    "mk-MK",
-    "ml-IN",
-    "mn-MN",
-    "mr-IN",
-    "mt-MT",
-    "no-NO",
-    "or-IN",
-    "pa-IN",
-    "pl-PL",
-    "ps-AF",
-    "ro-RO",
-    "rw-RW",
-    "si-LK",
-    "sk-SK",
-    "sl-SI",
-    "so-SO",
-    "sr-RS",
-    "su-ID",
-    "sw-BI",
-    "sw-KE",
-    "sw-RW",
-    "sw-TZ",
-    "sw-UG",
-    "tl-PH",
-    "tt-RU",
-    "ug-CN",
-    "uk-UA",
-    "uz-UZ",
-    "wo-SN",
-    "zu-ZA",
-]
-
-MediaFormat = ["mp3", "mp4", "wav", "flac", "ogg", "amr", "webm", "m4a"]
-
-
-def is_url(text):
-    if not text:
-        return False
-    text = text.strip()
-    # Regular expression pattern for URL validation
-    pattern = re.compile(
-        r"^"  # Start of the string
-        r"(?:http|https)://"  # Protocol (http or https)
-        r"(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|"  # Domain
-        r"localhost|"  # localhost
-        r"\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})"  # IP address
-        r"(?::\d+)?"  # Optional port
-        r"(?:/?|[/?]\S+)"  # Path
-        r"$",  # End of the string
-        re.IGNORECASE,
-    )
-    return bool(pattern.match(text))
-
-
-def upload_file_from_url_to_s3(s3_client, url, bucket_name, s3_key=None, max_retries=3):
-    """
-    Upload a file from a URL to an S3 bucket with retries and better error handling.
-
-    Parameters:
-    - s3_client
-    - url (str): The URL of the file to upload
-    - bucket_name (str): The name of the S3 bucket
-    - s3_key (str): The desired key (path) in S3. If None, will use the filename from URL
-    - max_retries (int): Maximum number of retry attempts
-
-    Returns:
-    - tuple: (bool, str) - (Success status, Message)
-    """
-
-    # Validate inputs
-    if not url or not bucket_name:
-        return False, "URL and bucket name are required"
-
-    retry_count = 0
-    while retry_count < max_retries:
-        try:
-            # Download the file from URL
-            response = requests.get(url, stream=True, timeout=30)
-            response.raise_for_status()
-
-            # If s3_key is not provided, try to get filename from URL
-            if not s3_key:
-                parsed_url = urlparse(url)
-                filename = os.path.basename(parsed_url.path.split("/file-preview")[0])
-                s3_key = "transcribe-files/" + filename
-
-            # Upload the file to S3
-            s3_client.upload_fileobj(
-                response.raw,
-                bucket_name,
-                s3_key,
-                ExtraArgs={
-                    "ContentType": response.headers.get("content-type"),
-                    "ACL": "private",  # Ensure the uploaded file is private
-                },
-            )
-
-            return f"s3://{bucket_name}/{s3_key}", f"Successfully uploaded file to s3://{bucket_name}/{s3_key}"
-
-        except RequestException as e:
-            retry_count += 1
-            if retry_count == max_retries:
-                return None, f"Failed to download file from URL after {max_retries} attempts: {str(e)}"
-            continue
-
-        except ClientError as e:
-            return None, f"AWS S3 error: {str(e)}"
-
-        except Exception as e:
-            return None, f"Unexpected error: {str(e)}"
-
-    return None, "Maximum retries exceeded"
-
-
-class TranscribeTool(BuiltinTool):
-    s3_client: Any = None
-    transcribe_client: Any = None
-
-    """
-    Note that you must include one of LanguageCode, IdentifyLanguage,
-    or IdentifyMultipleLanguages in your request. 
-    If you include more than one of these parameters, your transcription job fails.
-    """
-
-    def _transcribe_audio(self, audio_file_uri, file_type, **extra_args):
-        uuid_str = str(uuid.uuid4())
-        job_name = f"{int(time.time())}-{uuid_str}"
-        try:
-            # Start transcription job
-            response = self.transcribe_client.start_transcription_job(
-                TranscriptionJobName=job_name, Media={"MediaFileUri": audio_file_uri}, **extra_args
-            )
-
-            # Wait for the job to complete
-            while True:
-                status = self.transcribe_client.get_transcription_job(TranscriptionJobName=job_name)
-                if status["TranscriptionJob"]["TranscriptionJobStatus"] in ["COMPLETED", "FAILED"]:
-                    break
-                time.sleep(5)
-
-            if status["TranscriptionJob"]["TranscriptionJobStatus"] == "COMPLETED":
-                return status["TranscriptionJob"]["Transcript"]["TranscriptFileUri"], None
-            else:
-                return None, f"Error: TranscriptionJobStatus:{status['TranscriptionJob']['TranscriptionJobStatus']} "
-
-        except Exception as e:
-            return None, f"Error: {str(e)}"
-
-    def _download_and_read_transcript(self, transcript_file_uri: str, max_retries: int = 3) -> tuple[str, str]:
-        """
-        Download and read the transcript file from the given URI.
-
-        Parameters:
-        - transcript_file_uri (str): The URI of the transcript file
-        - max_retries (int): Maximum number of retry attempts
-
-        Returns:
-        - tuple: (text, error) - (Transcribed text if successful, error message if failed)
-        """
-        retry_count = 0
-        while retry_count < max_retries:
-            try:
-                # Download the transcript file
-                response = requests.get(transcript_file_uri, timeout=30)
-                response.raise_for_status()
-
-                # Parse the JSON content
-                transcript_data = response.json()
-
-                # Check if speaker labels are present and enabled
-                has_speaker_labels = (
-                    "results" in transcript_data
-                    and "speaker_labels" in transcript_data["results"]
-                    and "segments" in transcript_data["results"]["speaker_labels"]
-                )
-
-                if has_speaker_labels:
-                    # Get speaker segments
-                    segments = transcript_data["results"]["speaker_labels"]["segments"]
-                    items = transcript_data["results"]["items"]
-
-                    # Create a mapping of start_time -> speaker_label
-                    time_to_speaker = {}
-                    for segment in segments:
-                        speaker_label = segment["speaker_label"]
-                        for item in segment["items"]:
-                            time_to_speaker[item["start_time"]] = speaker_label
-
-                    # Build transcript with speaker labels
-                    current_speaker = None
-                    transcript_parts = []
-
-                    for item in items:
-                        # Skip non-pronunciation items (like punctuation)
-                        if item["type"] == "punctuation":
-                            transcript_parts.append(item["alternatives"][0]["content"])
-                            continue
-
-                        start_time = item["start_time"]
-                        speaker = time_to_speaker.get(start_time)
-
-                        if speaker != current_speaker:
-                            current_speaker = speaker
-                            transcript_parts.append(f"\n[{speaker}]: ")
-
-                        transcript_parts.append(item["alternatives"][0]["content"])
-
-                    return " ".join(transcript_parts).strip(), None
-                else:
-                    # Extract the transcription text
-                    # The transcript text is typically in the 'results' -> 'transcripts' array
-                    if "results" in transcript_data and "transcripts" in transcript_data["results"]:
-                        transcripts = transcript_data["results"]["transcripts"]
-                        if transcripts:
-                            # Combine all transcript segments
-                            full_text = " ".join(t.get("transcript", "") for t in transcripts)
-                            return full_text, None
-
-                return None, "No transcripts found in the response"
-
-            except requests.exceptions.RequestException as e:
-                retry_count += 1
-                if retry_count == max_retries:
-                    return None, f"Failed to download transcript file after {max_retries} attempts: {str(e)}"
-                continue
-
-            except json.JSONDecodeError as e:
-                return None, f"Failed to parse transcript JSON: {str(e)}"
-
-            except Exception as e:
-                return None, f"Unexpected error while processing transcript: {str(e)}"
-
-        return None, "Maximum retries exceeded"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        try:
-            if not self.transcribe_client:
-                aws_region = tool_parameters.get("aws_region")
-                if aws_region:
-                    self.transcribe_client = boto3.client("transcribe", region_name=aws_region)
-                    self.s3_client = boto3.client("s3", region_name=aws_region)
-                else:
-                    self.transcribe_client = boto3.client("transcribe")
-                    self.s3_client = boto3.client("s3")
-
-            file_url = tool_parameters.get("file_url")
-            file_type = tool_parameters.get("file_type")
-            language_code = tool_parameters.get("language_code")
-            identify_language = tool_parameters.get("identify_language", True)
-            identify_multiple_languages = tool_parameters.get("identify_multiple_languages", False)
-            language_options_str = tool_parameters.get("language_options")
-            s3_bucket_name = tool_parameters.get("s3_bucket_name")
-            ShowSpeakerLabels = tool_parameters.get("ShowSpeakerLabels", True)
-            MaxSpeakerLabels = tool_parameters.get("MaxSpeakerLabels", 2)
-
-            # Check the input params
-            if not s3_bucket_name:
-                return self.create_text_message(text="s3_bucket_name is required")
-            language_options = None
-            if language_options_str:
-                language_options = language_options_str.split("|")
-                for lang in language_options:
-                    if lang not in LanguageCodeOptions:
-                        return self.create_text_message(
-                            text=f"{lang} is not supported, should be one of {LanguageCodeOptions}"
-                        )
-            if language_code and language_code not in LanguageCodeOptions:
-                err_msg = f"language_code:{language_code} is not supported, should be one of {LanguageCodeOptions}"
-                return self.create_text_message(text=err_msg)
-
-            err_msg = f"identify_language:{identify_language}, \
-                identify_multiple_languages:{identify_multiple_languages}, \
-                Note that you must include one of LanguageCode, IdentifyLanguage, \
-                or IdentifyMultipleLanguages in your request. \
-                If you include more than one of these parameters, \
-                your transcription job fails."
-            if not language_code:
-                if identify_language and identify_multiple_languages:
-                    return self.create_text_message(text=err_msg)
-            else:
-                if identify_language or identify_multiple_languages:
-                    return self.create_text_message(text=err_msg)
-
-            extra_args = {
-                "IdentifyLanguage": identify_language,
-                "IdentifyMultipleLanguages": identify_multiple_languages,
-            }
-            if language_code:
-                extra_args["LanguageCode"] = language_code
-            if language_options:
-                extra_args["LanguageOptions"] = language_options
-            if ShowSpeakerLabels:
-                extra_args["Settings"] = {"ShowSpeakerLabels": ShowSpeakerLabels, "MaxSpeakerLabels": MaxSpeakerLabels}
-
-            # upload to s3 bucket
-            s3_path_result, error = upload_file_from_url_to_s3(self.s3_client, url=file_url, bucket_name=s3_bucket_name)
-            if not s3_path_result:
-                return self.create_text_message(text=error)
-
-            transcript_file_uri, error = self._transcribe_audio(
-                audio_file_uri=s3_path_result,
-                file_type=file_type,
-                **extra_args,
-            )
-            if not transcript_file_uri:
-                return self.create_text_message(text=error)
-
-            # Download and read the transcript
-            transcript_text, error = self._download_and_read_transcript(transcript_file_uri)
-            if not transcript_text:
-                return self.create_text_message(text=error)
-
-            return self.create_text_message(text=transcript_text)
-
-        except Exception as e:
-            return self.create_text_message(f"Exception {str(e)}")
diff --git a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml b/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml
deleted file mode 100644
index 0dccd615d2..0000000000
--- a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml
+++ /dev/null
@@ -1,133 +0,0 @@
-identity:
-  name: transcribe_asr
-  author: AWS
-  label:
-    en_US: TranscribeASR
-    zh_Hans: Transcribe语音识别转录
-    pt_BR: TranscribeASR
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for ASR (Automatic Speech Recognition) - https://github.com/aws-samples/dify-aws-tool
-    zh_Hans: AWS 语音识别转录服务, 请参考 https://aws.amazon.com/cn/pm/transcribe/#Learn_More_About_Amazon_Transcribe
-    pt_BR: A tool for ASR (Automatic Speech Recognition).
-  llm: A tool for ASR (Automatic Speech Recognition).
-parameters:
-  - name: file_url
-    type: string
-    required: true
-    label:
-      en_US: video or audio file url for transcribe
-      zh_Hans: 语音或者视频文件url
-      pt_BR: video or audio file url for transcribe
-    human_description:
-      en_US: video or audio file url for transcribe
-      zh_Hans: 语音或者视频文件url
-      pt_BR: video or audio file url for transcribe
-    llm_description: video or audio file url for transcribe
-    form: llm
-  - name: language_code
-    type: string
-    required: false
-    label:
-      en_US: Language Code
-      zh_Hans: 语言编码
-      pt_BR: Language Code
-    human_description:
-      en_US: The language code used to create your transcription job.  refer to :https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
-      zh_Hans: 语言编码,例如zh-CN, en-US 可参考 https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
-      pt_BR: The language code used to create your transcription job.  refer to :https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
-    llm_description: The language code used to create your transcription job.
-    form: llm
-  - name: identify_language
-    type: boolean
-    default: true
-    required: false
-    label:
-      en_US: Automactically Identify Language
-      zh_Hans: 自动识别语言
-      pt_BR: Automactically Identify Language
-    human_description:
-      en_US: Automactically Identify Language
-      zh_Hans: 自动识别语言
-      pt_BR: Automactically Identify Language
-    llm_description: Enable Automactically Identify Language
-    form: form
-  - name: identify_multiple_languages
-    type: boolean
-    required: false
-    label:
-      en_US: Automactically Identify Multiple Languages
-      zh_Hans: 自动识别多种语言
-      pt_BR: Automactically Identify Multiple Languages
-    human_description:
-      en_US: Automactically Identify Multiple Languages
-      zh_Hans: 自动识别多种语言
-      pt_BR: Automactically Identify Multiple Languages
-    llm_description: Enable Automactically Identify Multiple Languages
-    form: form
-  - name: language_options
-    type: string
-    required: false
-    label:
-      en_US: Language Options
-      zh_Hans: 语言种类选项
-      pt_BR: Language Options
-    human_description:
-      en_US: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
-      zh_Hans: 您可以指定两个或更多的语言代码来表示您认为可能出现在媒体中的语言。用｜分隔,如 zh-CN|en-US
-      pt_BR: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
-    llm_description: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media
-    form: llm
-  - name: s3_bucket_name
-    type: string
-    required: true
-    label:
-      en_US: s3 bucket name
-      zh_Hans: s3 存储桶名称
-      pt_BR: s3 bucket name
-    human_description:
-      en_US: s3 bucket name to store transcribe files  (don't add prefix s3://)
-      zh_Hans: s3 存储桶名称,用于存储转录文件  (不需要前缀 s3://)
-      pt_BR: s3 bucket name to store transcribe files  (don't add prefix s3://)
-    llm_description: s3 bucket name to store transcribe files
-    form: form
-  - name: ShowSpeakerLabels
-    type: boolean
-    required: true
-    default: true
-    label:
-      en_US: ShowSpeakerLabels
-      zh_Hans: 显示说话人标签
-      pt_BR: ShowSpeakerLabels
-    human_description:
-      en_US: Enables speaker partitioning (diarization) in your transcription output
-      zh_Hans: 在转录输出中启用说话人分区（说话人分离）
-      pt_BR: Enables speaker partitioning (diarization) in your transcription output
-    llm_description: Enables speaker partitioning (diarization) in your transcription output
-    form: form
-  - name: MaxSpeakerLabels
-    type: number
-    required: true
-    default: 2
-    label:
-      en_US: MaxSpeakerLabels
-      zh_Hans: 说话人标签数量
-      pt_BR: MaxSpeakerLabels
-    human_description:
-      en_US: Specify the maximum number of speakers you want to partition in your media
-      zh_Hans: 指定您希望在媒体中划分的最多演讲者数量。
-      pt_BR: Specify the maximum number of speakers you want to partition in your media
-    llm_description: Specify the maximum number of speakers you want to partition in your media
-    form: form
-  - name: aws_region
-    type: string
-    required: false
-    label:
-      en_US: AWS Region
-      zh_Hans: AWS 区域
-    human_description:
-      en_US: Please enter the AWS region for the transcribe service, for example 'us-east-1'.
-      zh_Hans: 请输入Transcribe的 AWS 区域，例如 'us-east-1'。
-    llm_description: Please enter the AWS region for the transcribe service, for example 'us-east-1'.
-    form: form
diff --git a/api/core/tools/provider/builtin/azuredalle/__init__.py b/api/core/tools/provider/builtin/azuredalle/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/azuredalle/_assets/icon.png b/api/core/tools/provider/builtin/azuredalle/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/azuredalle/azuredalle.py b/api/core/tools/provider/builtin/azuredalle/azuredalle.py
deleted file mode 100644
index 1fab0d03a2..0000000000
--- a/api/core/tools/provider/builtin/azuredalle/azuredalle.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.azuredalle.tools.dalle3 import DallE3Tool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class AzureDALLEProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            DallE3Tool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"prompt": "cute girl, blue eyes, white hair, anime style", "size": "square", "n": 1},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml b/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml
deleted file mode 100644
index 4353e0c486..0000000000
--- a/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml
+++ /dev/null
@@ -1,76 +0,0 @@
-identity:
-  author: Leslie
-  name: azuredalle
-  label:
-    en_US: Azure DALL-E
-    zh_Hans: Azure DALL-E 绘画
-    pt_BR: Azure DALL-E
-  description:
-    en_US: Azure DALL-E art
-    zh_Hans: Azure DALL-E 绘画
-    pt_BR: Azure DALL-E art
-  icon: icon.png
-  tags:
-    - image
-    - productivity
-credentials_for_provider:
-  azure_openai_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API key
-      zh_Hans: 密钥
-      pt_BR: API key
-    help:
-      en_US: Please input your Azure OpenAI API key
-      zh_Hans: 请输入你的 Azure OpenAI API key
-      pt_BR: Introduza a sua chave de API OpenAI do Azure
-    placeholder:
-      en_US: Please input your Azure OpenAI API key
-      zh_Hans: 请输入你的 Azure OpenAI API key
-      pt_BR: Introduza a sua chave de API OpenAI do Azure
-  azure_openai_api_model_name:
-    type: text-input
-    required: true
-    label:
-      en_US: Deployment Name
-      zh_Hans: 部署名称
-      pt_BR: Nome da Implantação
-    help:
-      en_US: Please input the name of your Azure Openai DALL-E API deployment
-      zh_Hans: 请输入你的 Azure Openai DALL-E API 部署名称
-      pt_BR: Insira o nome da implantação da API DALL-E do Azure Openai
-    placeholder:
-      en_US: Please input the name of your Azure Openai DALL-E API deployment
-      zh_Hans: 请输入你的 Azure Openai DALL-E API 部署名称
-      pt_BR: Insira o nome da implantação da API DALL-E do Azure Openai
-  azure_openai_base_url:
-    type: text-input
-    required: true
-    label:
-      en_US: API Endpoint URL
-      zh_Hans: API 域名
-      pt_BR: API Endpoint URL
-    help:
-      en_US: Please input your Azure OpenAI Endpoint URL, e.g. https://xxx.openai.azure.com/
-      zh_Hans: 请输入你的 Azure OpenAI API域名，例如：https://xxx.openai.azure.com/
-      pt_BR: Introduza a URL do Azure OpenAI Endpoint, e.g. https://xxx.openai.azure.com/
-    placeholder:
-      en_US: Please input your Azure OpenAI Endpoint URL, e.g. https://xxx.openai.azure.com/
-      zh_Hans: 请输入你的 Azure OpenAI API域名，例如：https://xxx.openai.azure.com/
-      pt_BR: Introduza a URL do Azure OpenAI Endpoint, e.g. https://xxx.openai.azure.com/
-  azure_openai_api_version:
-    type: text-input
-    required: true
-    label:
-      en_US: API Version
-      zh_Hans: API 版本
-      pt_BR: API Version
-    help:
-      en_US: Please input your Azure OpenAI API Version,e.g. 2023-12-01-preview
-      zh_Hans: 请输入你的 Azure OpenAI API 版本，例如：2023-12-01-preview
-      pt_BR: Introduza a versão da API OpenAI do Azure,e.g. 2023-12-01-preview
-    placeholder:
-      en_US: Please input your Azure OpenAI API Version,e.g. 2023-12-01-preview
-      zh_Hans: 请输入你的 Azure OpenAI API 版本，例如：2023-12-01-preview
-      pt_BR: Introduza a versão da API OpenAI do Azure,e.g. 2023-12-01-preview
diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py
deleted file mode 100644
index cfa3cfb092..0000000000
--- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py
+++ /dev/null
@@ -1,83 +0,0 @@
-import random
-from base64 import b64decode
-from typing import Any, Union
-
-from openai import AzureOpenAI
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DallE3Tool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        client = AzureOpenAI(
-            api_version=self.runtime.credentials["azure_openai_api_version"],
-            azure_endpoint=self.runtime.credentials["azure_openai_base_url"],
-            api_key=self.runtime.credentials["azure_openai_api_key"],
-        )
-
-        SIZE_MAPPING = {
-            "square": "1024x1024",
-            "vertical": "1024x1792",
-            "horizontal": "1792x1024",
-        }
-
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-        # get size
-        size = SIZE_MAPPING[tool_parameters.get("size", "square")]
-        # get n
-        n = tool_parameters.get("n", 1)
-        # get quality
-        quality = tool_parameters.get("quality", "standard")
-        if quality not in {"standard", "hd"}:
-            return self.create_text_message("Invalid quality")
-        # get style
-        style = tool_parameters.get("style", "vivid")
-        if style not in {"natural", "vivid"}:
-            return self.create_text_message("Invalid style")
-        # set extra body
-        seed_id = tool_parameters.get("seed_id", self._generate_random_id(8))
-        extra_body = {"seed": seed_id}
-
-        # call openapi dalle3
-        model = self.runtime.credentials["azure_openai_api_model_name"]
-        response = client.images.generate(
-            prompt=prompt,
-            model=model,
-            size=size,
-            n=n,
-            extra_body=extra_body,
-            style=style,
-            quality=quality,
-            response_format="b64_json",
-        )
-
-        result = []
-
-        for image in response.data:
-            result.append(
-                self.create_blob_message(
-                    blob=b64decode(image.b64_json),
-                    meta={"mime_type": "image/png"},
-                    save_as=self.VariableKey.IMAGE.value,
-                )
-            )
-        result.append(self.create_text_message(f"\nGenerate image source to Seed ID: {seed_id}"))
-
-        return result
-
-    @staticmethod
-    def _generate_random_id(length=8):
-        characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
-        random_id = "".join(random.choices(characters, k=length))
-        return random_id
diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml
deleted file mode 100644
index e256748e8f..0000000000
--- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml
+++ /dev/null
@@ -1,136 +0,0 @@
-identity:
-  name: azure_dalle3
-  author: Leslie
-  label:
-    en_US: Azure DALL-E 3
-    zh_Hans: Azure DALL-E 3 绘画
-    pt_BR: Azure DALL-E 3
-  description:
-    en_US: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources
-    zh_Hans: DALL-E 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像，相比于DallE 2， DallE 3拥有更强的绘画能力，但会消耗更多的资源
-    pt_BR: DALL-E 3 é uma poderosa ferramenta de desenho que pode desenhar a imagem que você deseja com base em seu prompt, em comparação com DallE 2, DallE 3 tem uma capacidade de desenho mais forte, mas consumirá mais recursos
-description:
-  human:
-    en_US: DALL-E is a text to image tool
-    zh_Hans: DALL-E 是一个文本到图像的工具
-    pt_BR: DALL-E é uma ferramenta de texto para imagem
-  llm: DALL-E is a tool used to generate images from text
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of DallE 3
-      zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档
-      pt_BR: Imagem prompt, você pode verificar a documentação oficial do DallE 3
-    llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed
-    form: llm
-  - name: seed_id
-    type: string
-    required: false
-    label:
-      en_US: Seed ID
-      zh_Hans: 种子ID
-      pt_BR: ID da semente
-    human_description:
-      en_US: Image generation seed ID to ensure consistency of series generated images
-      zh_Hans: 图像生成种子ID，确保系列生成图像的一致性
-      pt_BR: ID de semente de geração de imagem para garantir a consistência das imagens geradas em série
-    llm_description: If the user requests image consistency, extract the seed ID from the user's question or context.The seed id consists of an 8-bit string containing uppercase and lowercase letters and numbers
-    form: llm
-  - name: size
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image size
-      zh_Hans: 选择图像大小
-      pt_BR: seleccionar o tamanho da imagem
-    label:
-      en_US: Image size
-      zh_Hans: 图像大小
-      pt_BR: Tamanho da imagem
-    form: form
-    options:
-      - value: square
-        label:
-          en_US: Squre(1024x1024)
-          zh_Hans: 方(1024x1024)
-          pt_BR: Squire(1024x1024)
-      - value: vertical
-        label:
-          en_US: Vertical(1024x1792)
-          zh_Hans: 竖屏(1024x1792)
-          pt_BR: Vertical(1024x1792)
-      - value: horizontal
-        label:
-          en_US: Horizontal(1792x1024)
-          zh_Hans: 横屏(1792x1024)
-          pt_BR: Horizontal(1792x1024)
-    default: square
-  - name: n
-    type: number
-    required: true
-    human_description:
-      en_US: selecting the number of images
-      zh_Hans: 选择图像数量
-      pt_BR: seleccionar o número de imagens
-    label:
-      en_US: Number of images
-      zh_Hans: 图像数量
-      pt_BR: Número de imagens
-    form: form
-    min: 1
-    max: 1
-    default: 1
-  - name: quality
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image quality
-      zh_Hans: 选择图像质量
-      pt_BR: seleccionar a qualidade da imagem
-    label:
-      en_US: Image quality
-      zh_Hans: 图像质量
-      pt_BR: Qualidade da imagem
-    form: form
-    options:
-      - value: standard
-        label:
-          en_US: Standard
-          zh_Hans: 标准
-          pt_BR: Normal
-      - value: hd
-        label:
-          en_US: HD
-          zh_Hans: 高清
-          pt_BR: HD
-    default: standard
-  - name: style
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image style
-      zh_Hans: 选择图像风格
-      pt_BR: seleccionar o estilo da imagem
-    label:
-      en_US: Image style
-      zh_Hans: 图像风格
-      pt_BR: Estilo da imagem
-    form: form
-    options:
-      - value: vivid
-        label:
-          en_US: Vivid
-          zh_Hans: 生动
-          pt_BR: Vívido
-      - value: natural
-        label:
-          en_US: Natural
-          zh_Hans: 自然
-          pt_BR: Natural
-    default: vivid
diff --git a/api/core/tools/provider/builtin/baidu_translate/_assets/icon.png b/api/core/tools/provider/builtin/baidu_translate/_assets/icon.png
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meP>v*b~vM6)Xh5kMgEP=YCOTKS@X~9cLf<0={iZ%(EkGst+QnS

diff --git a/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py b/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py
deleted file mode 100644
index ce907c3c61..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from hashlib import md5
-
-
-class BaiduTranslateToolBase:
-    def _get_sign(self, appid, secret, salt, query):
-        """
-        get baidu translate sign
-        """
-        # concatenate the string in the order of appid+q+salt+secret
-        str = appid + query + salt + secret
-        return md5(str.encode("utf-8")).hexdigest()
diff --git a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py b/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py
deleted file mode 100644
index cccd2f8c8f..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.baidu_translate.tools.translate import BaiduTranslateTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class BaiduTranslateProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            BaiduTranslateTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(user_id="", tool_parameters={"q": "这是一段测试文本", "from": "auto", "to": "en"})
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml b/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml
deleted file mode 100644
index 06dadeeefc..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-identity:
-  author: Xiao Ley
-  name: baidu_translate
-  label:
-    en_US: Baidu Translate
-    zh_Hans: 百度翻译
-  description:
-    en_US: Translate text using Baidu
-    zh_Hans: 使用百度进行翻译
-  icon: icon.png
-  tags:
-    - utilities
-credentials_for_provider:
-  appid:
-    type: secret-input
-    required: true
-    label:
-      en_US: Baidu translate appid
-      zh_Hans: Baidu translate appid
-    placeholder:
-      en_US: Please input your Baidu translate appid
-      zh_Hans: 请输入你的百度翻译 appid
-    help:
-      en_US: Get your Baidu translate appid from Baidu translate
-      zh_Hans: 从百度翻译开放平台获取你的 appid
-    url: https://api.fanyi.baidu.com
-  secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: Baidu translate secret
-      zh_Hans: Baidu translate secret
-    placeholder:
-      en_US: Please input your Baidu translate secret
-      zh_Hans: 请输入你的百度翻译 secret
-    help:
-      en_US: Get your Baidu translate secret from Baidu translate
-      zh_Hans: 从百度翻译开放平台获取你的 secret
-    url: https://api.fanyi.baidu.com
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py
deleted file mode 100644
index ff5cf32ddc..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import random
-from hashlib import md5
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BaiduFieldTranslateTool(BuiltinTool, BaiduTranslateToolBase):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        BAIDU_FIELD_TRANSLATE_URL = "https://fanyi-api.baidu.com/api/trans/vip/fieldtranslate"
-
-        appid = self.runtime.credentials.get("appid", "")
-        if not appid:
-            raise ValueError("invalid baidu translate appid")
-
-        secret = self.runtime.credentials.get("secret", "")
-        if not secret:
-            raise ValueError("invalid baidu translate secret")
-
-        q = tool_parameters.get("q", "")
-        if not q:
-            raise ValueError("Please input text to translate")
-
-        from_ = tool_parameters.get("from", "")
-        if not from_:
-            raise ValueError("Please select source language")
-
-        to = tool_parameters.get("to", "")
-        if not to:
-            raise ValueError("Please select destination language")
-
-        domain = tool_parameters.get("domain", "")
-        if not domain:
-            raise ValueError("Please select domain")
-
-        salt = str(random.randint(32768, 16777215))
-        sign = self._get_sign(appid, secret, salt, q, domain)
-
-        headers = {"Content-Type": "application/x-www-form-urlencoded"}
-        params = {
-            "q": q,
-            "from": from_,
-            "to": to,
-            "appid": appid,
-            "salt": salt,
-            "domain": domain,
-            "sign": sign,
-            "needIntervene": 1,
-        }
-        try:
-            response = requests.post(BAIDU_FIELD_TRANSLATE_URL, headers=headers, data=params)
-            result = response.json()
-
-            if "trans_result" in result:
-                result_text = result["trans_result"][0]["dst"]
-            else:
-                result_text = f"{result['error_code']}: {result['error_msg']}"
-
-            return self.create_text_message(str(result_text))
-        except requests.RequestException as e:
-            raise ValueError(f"Translation service error: {e}")
-        except Exception:
-            raise ValueError("Translation service error, please check the network")
-
-    def _get_sign(self, appid, secret, salt, query, domain):
-        str = appid + query + salt + domain + secret
-        return md5(str.encode("utf-8")).hexdigest()
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml
deleted file mode 100644
index de51fddbae..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml
+++ /dev/null
@@ -1,123 +0,0 @@
-identity:
-  name: field_translate
-  author: Xiao Ley
-  label:
-    en_US: Field translate
-    zh_Hans: 百度领域翻译
-description:
-  human:
-    en_US: A tool for Baidu Field translate (Currently, the fields of "novel" and "wiki" only support Chinese to English translation. If the language direction is set to English to Chinese, the default output will be a universal translation result).
-    zh_Hans: 百度领域翻译，提供多种领域的文本翻译（目前“网络文学领域”和“人文社科领域”仅支持中到英，如设置语言方向为英到中，则默认输出通用翻译结果）
-  llm: A tool for Baidu Field translate
-parameters:
-  - name: q
-    type: string
-    required: true
-    label:
-      en_US: Text content
-      zh_Hans: 文本内容
-    human_description:
-      en_US: Text content to be translated
-      zh_Hans: 需要翻译的文本内容
-    llm_description: Text content to be translated
-    form: llm
-  - name: from
-    type: select
-    required: true
-    label:
-      en_US: source language
-      zh_Hans: 源语言
-    human_description:
-      en_US: The source language of the input text
-      zh_Hans: 输入的文本的源语言
-    default: auto
-    form: form
-    options:
-      - value: auto
-        label:
-          en_US: auto
-          zh_Hans: 自动检测
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-  - name: to
-    type: select
-    required: true
-    label:
-      en_US: destination language
-      zh_Hans: 目标语言
-    human_description:
-      en_US: The destination language of the input text
-      zh_Hans: 输入文本的目标语言
-    default: en
-    form: form
-    options:
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-  - name: domain
-    type: select
-    required: true
-    label:
-      en_US: domain
-      zh_Hans: 领域
-    human_description:
-      en_US: The domain of the input text
-      zh_Hans: 输入文本的领域
-    default: novel
-    form: form
-    options:
-      - value: it
-        label:
-          en_US: it
-          zh_Hans: 信息技术领域
-      - value: finance
-        label:
-          en_US: finance
-          zh_Hans: 金融财经领域
-      - value: machinery
-        label:
-          en_US: machinery
-          zh_Hans: 机械制造领域
-      - value: senimed
-        label:
-          en_US: senimed
-          zh_Hans: 生物医药领域
-      - value: novel
-        label:
-          en_US: novel (only support Chinese to English translation)
-          zh_Hans: 网络文学领域（仅支持中到英）
-      - value: academic
-        label:
-          en_US: academic
-          zh_Hans: 学术论文领域
-      - value: aerospace
-        label:
-          en_US: aerospace
-          zh_Hans: 航空航天领域
-      - value: wiki
-        label:
-          en_US: wiki (only support Chinese to English translation)
-          zh_Hans: 人文社科领域（仅支持中到英）
-      - value: news
-        label:
-          en_US: news
-          zh_Hans: 新闻咨询领域
-      - value: law
-        label:
-          en_US: law
-          zh_Hans: 法律法规领域
-      - value: contract
-        label:
-          en_US: contract
-          zh_Hans: 合同领域
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/language.py b/api/core/tools/provider/builtin/baidu_translate/tools/language.py
deleted file mode 100644
index b7fd692b7d..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/language.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import random
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BaiduLanguageTool(BuiltinTool, BaiduTranslateToolBase):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        BAIDU_LANGUAGE_URL = "https://fanyi-api.baidu.com/api/trans/vip/language"
-
-        appid = self.runtime.credentials.get("appid", "")
-        if not appid:
-            raise ValueError("invalid baidu translate appid")
-
-        secret = self.runtime.credentials.get("secret", "")
-        if not secret:
-            raise ValueError("invalid baidu translate secret")
-
-        q = tool_parameters.get("q", "")
-        if not q:
-            raise ValueError("Please input text to translate")
-
-        description_language = tool_parameters.get("description_language", "English")
-
-        salt = str(random.randint(32768, 16777215))
-        sign = self._get_sign(appid, secret, salt, q)
-
-        headers = {"Content-Type": "application/x-www-form-urlencoded"}
-        params = {
-            "q": q,
-            "appid": appid,
-            "salt": salt,
-            "sign": sign,
-        }
-
-        try:
-            response = requests.post(BAIDU_LANGUAGE_URL, params=params, headers=headers)
-            result = response.json()
-            if "error_code" not in result:
-                raise ValueError("Translation service error, please check the network")
-
-            result_text = ""
-            if result["error_code"] != 0:
-                result_text = f"{result['error_code']}: {result['error_msg']}"
-            else:
-                result_text = result["data"]["src"]
-                result_text = self.mapping_result(description_language, result_text)
-
-            return self.create_text_message(result_text)
-        except requests.RequestException as e:
-            raise ValueError(f"Translation service error: {e}")
-        except Exception:
-            raise ValueError("Translation service error, please check the network")
-
-    def mapping_result(self, description_language: str, result: str) -> str:
-        """
-        mapping result
-        """
-        mapping = {
-            "English": {
-                "zh": "Chinese",
-                "en": "English",
-                "jp": "Japanese",
-                "kor": "Korean",
-                "th": "Thai",
-                "vie": "Vietnamese",
-                "ru": "Russian",
-            },
-            "Chinese": {
-                "zh": "中文",
-                "en": "英文",
-                "jp": "日文",
-                "kor": "韩文",
-                "th": "泰语",
-                "vie": "越南语",
-                "ru": "俄语",
-            },
-        }
-
-        language_mapping = mapping.get(description_language)
-        if not language_mapping:
-            return result
-
-        return language_mapping.get(result, result)
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml
deleted file mode 100644
index 60cca2e288..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-identity:
-  name: language
-  author: Xiao Ley
-  label:
-    en_US: Baidu Language
-    zh_Hans: 百度语种识别
-description:
-  human:
-    en_US: A tool for Baidu Language, support Chinese, English, Japanese, Korean, Thai, Vietnamese and Russian
-    zh_Hans: 使用百度进行语种识别，支持的语种：中文、英语、日语、韩语、泰语、越南语和俄语
-  llm: A tool for Baidu Language
-parameters:
-  - name: q
-    type: string
-    required: true
-    label:
-      en_US: Text content
-      zh_Hans: 文本内容
-    human_description:
-      en_US: Text content to be recognized
-      zh_Hans: 需要识别语言的文本内容
-    llm_description: Text content to be recognized
-    form: llm
-  - name: description_language
-    type: select
-    required: true
-    label:
-      en_US: Description language
-      zh_Hans: 描述语言
-    human_description:
-      en_US: Describe the language used to identify the results
-      zh_Hans: 描述识别结果所用的语言
-    default: Chinese
-    form: form
-    options:
-      - value: Chinese
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-      - value: English
-        label:
-          en_US: English
-          zh_Hans: 英语
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py b/api/core/tools/provider/builtin/baidu_translate/tools/translate.py
deleted file mode 100644
index 0d25466a70..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import random
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BaiduTranslateTool(BuiltinTool, BaiduTranslateToolBase):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        BAIDU_TRANSLATE_URL = "https://fanyi-api.baidu.com/api/trans/vip/translate"
-
-        appid = self.runtime.credentials.get("appid", "")
-        if not appid:
-            raise ValueError("invalid baidu translate appid")
-
-        secret = self.runtime.credentials.get("secret", "")
-        if not secret:
-            raise ValueError("invalid baidu translate secret")
-
-        q = tool_parameters.get("q", "")
-        if not q:
-            raise ValueError("Please input text to translate")
-
-        from_ = tool_parameters.get("from", "")
-        if not from_:
-            raise ValueError("Please select source language")
-
-        to = tool_parameters.get("to", "")
-        if not to:
-            raise ValueError("Please select destination language")
-
-        salt = str(random.randint(32768, 16777215))
-        sign = self._get_sign(appid, secret, salt, q)
-
-        headers = {"Content-Type": "application/x-www-form-urlencoded"}
-        params = {
-            "q": q,
-            "from": from_,
-            "to": to,
-            "appid": appid,
-            "salt": salt,
-            "sign": sign,
-        }
-        try:
-            response = requests.post(BAIDU_TRANSLATE_URL, params=params, headers=headers)
-            result = response.json()
-
-            if "trans_result" in result:
-                result_text = result["trans_result"][0]["dst"]
-            else:
-                result_text = f"{result['error_code']}: {result['error_msg']}"
-
-            return self.create_text_message(str(result_text))
-        except requests.RequestException as e:
-            raise ValueError(f"Translation service error: {e}")
-        except Exception:
-            raise ValueError("Translation service error, please check the network")
diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml
deleted file mode 100644
index c8ff32cb6b..0000000000
--- a/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml
+++ /dev/null
@@ -1,275 +0,0 @@
-identity:
-  name: translate
-  author: Xiao Ley
-  label:
-    en_US: Translate
-    zh_Hans: 百度翻译
-description:
-  human:
-    en_US: A tool for Baidu Translate
-    zh_Hans: 百度翻译
-  llm: A tool for Baidu Translate
-parameters:
-  - name: q
-    type: string
-    required: true
-    label:
-      en_US: Text content
-      zh_Hans: 文本内容
-    human_description:
-      en_US: Text content to be translated
-      zh_Hans: 需要翻译的文本内容
-    llm_description: Text content to be translated
-    form: llm
-  - name: from
-    type: select
-    required: true
-    label:
-      en_US: source language
-      zh_Hans: 源语言
-    human_description:
-      en_US: The source language of the input text
-      zh_Hans: 输入的文本的源语言
-    default: auto
-    form: form
-    options:
-      - value: auto
-        label:
-          en_US: auto
-          zh_Hans: 自动检测
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: cht
-        label:
-          en_US: Traditional Chinese
-          zh_Hans: 繁体中文
-      - value: yue
-        label:
-          en_US: Yue
-          zh_Hans: 粤语
-      - value: wyw
-        label:
-          en_US: Wyw
-          zh_Hans: 文言文
-      - value: jp
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kor
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: fra
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: spa
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: ara
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: bul
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: est
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: dan
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: fin
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: rom
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: slo
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛文尼亚语
-      - value: swe
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: vie
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-  - name: to
-    type: select
-    required: true
-    label:
-      en_US: destination language
-      zh_Hans: 目标语言
-    human_description:
-      en_US: The destination language of the input text
-      zh_Hans: 输入文本的目标语言
-    default: en
-    form: form
-    options:
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: cht
-        label:
-          en_US: Traditional Chinese
-          zh_Hans: 繁体中文
-      - value: yue
-        label:
-          en_US: Yue
-          zh_Hans: 粤语
-      - value: wyw
-        label:
-          en_US: Wyw
-          zh_Hans: 文言文
-      - value: jp
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kor
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: fra
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: spa
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: ara
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: bul
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: est
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: dan
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: fin
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: rom
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: slo
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛文尼亚语
-      - value: swe
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: vie
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
diff --git a/api/core/tools/provider/builtin/bing/_assets/icon.svg b/api/core/tools/provider/builtin/bing/_assets/icon.svg
deleted file mode 100644
index a94de7971d..0000000000
--- a/api/core/tools/provider/builtin/bing/_assets/icon.svg
+++ /dev/null
@@ -1,40 +0,0 @@
-<svg viewBox="-29.62167543756803 0.1 574.391675437568 799.8100000000002" xmlns="http://www.w3.org/2000/svg" width="1888"
-     height="2500">
-    <linearGradient id="a" gradientUnits="userSpaceOnUse" x1="286.383" x2="542.057" y1="284.169" y2="569.112">
-        <stop offset="0" stop-color="#37bdff"/>
-        <stop offset=".25" stop-color="#26c6f4"/>
-        <stop offset=".5" stop-color="#15d0e9"/>
-        <stop offset=".75" stop-color="#3bd6df"/>
-        <stop offset="1" stop-color="#62dcd4"/>
-    </linearGradient>
-    <linearGradient id="b" gradientUnits="userSpaceOnUse" x1="108.979" x2="100.756" y1="675.98" y2="43.669">
-        <stop offset="0" stop-color="#1b48ef"/>
-        <stop offset=".5" stop-color="#2080f1"/>
-        <stop offset="1" stop-color="#26b8f4"/>
-    </linearGradient>
-    <linearGradient id="c" gradientUnits="userSpaceOnUse" x1="256.823" x2="875.632" y1="649.719" y2="649.719">
-        <stop offset="0" stop-color="#39d2ff"/>
-        <stop offset=".5" stop-color="#248ffa"/>
-        <stop offset="1" stop-color="#104cf5"/>
-    </linearGradient>
-    <linearGradient id="d" gradientUnits="userSpaceOnUse" x1="256.823" x2="875.632" y1="649.719" y2="649.719">
-        <stop offset="0" stop-color="#fff"/>
-        <stop offset="1"/>
-    </linearGradient>
-    <path d="M249.97 277.48c-.12.96-.12 2.05-.12 3.12 0 4.16.83 8.16 2.33 11.84l1.34 2.76 5.3 13.56 27.53 70.23 24.01 61.33c6.85 12.38 17.82 22.1 31.05 27.28l4.11 1.51c.16.05.43.05.65.11l65.81 22.63v.05l25.16 8.64 1.72.58c.06 0 .16.06.22.06 4.96 1.25 9.82 2.93 14.46 4.98 10.73 4.63 20.46 11.23 28.77 19.28 3.35 3.2 6.43 6.65 9.28 10.33a88.64 88.64 0 0 1 6.64 9.72c8.78 14.58 13.82 31.72 13.82 49.97 0 3.26-.16 6.41-.49 9.61-.11 1.41-.28 2.77-.49 4.12v.11c-.22 1.43-.49 2.91-.76 4.36-.28 1.41-.54 2.81-.86 4.21-.05.16-.11.33-.17.49-.3 1.42-.68 2.82-1.07 4.23-.35 1.33-.79 2.7-1.28 3.99a42.96 42.96 0 0 1-1.51 4.16c-.49 1.4-1.07 2.82-1.72 4.16-1.78 4.11-3.9 8.06-6.28 11.83a97.889 97.889 0 0 1-10.47 13.95c30.88-33.2 51.41-76.07 56.52-123.51.86-7.78 1.3-15.67 1.3-23.61 0-5.07-.22-10.09-.55-15.13-3.89-56.89-29.79-107.77-69.32-144.08-10.9-10.09-22.81-19.07-35.62-26.69l-24.2-12.37-122.63-62.93a30.15 30.15 0 0 0-11.93-2.44c-15.88 0-28.99 12.11-30.55 27.56z"
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-          fill="url(#a)"/>
-    <path d="M31.62.1C14.17.41.16 14.69.16 32.15v559.06c.07 3.9.29 7.75.57 11.66.25 2.06.52 4.2.9 6.28 7.97 44.87 47.01 78.92 94.15 78.92 16.53 0 32.03-4.21 45.59-11.53.08-.06.22-.14.29-.14l4.88-2.95 19.78-11.64 25.16-14.93.06-496.73c0-33.01-16.52-62.11-41.81-79.4-.6-.36-1.18-.74-1.71-1.17L50.12 5.56C45.16 2.28 39.18.22 32.77.1z"
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-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/bing/bing.py b/api/core/tools/provider/builtin/bing/bing.py
deleted file mode 100644
index c71128be4a..0000000000
--- a/api/core/tools/provider/builtin/bing/bing.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.bing.tools.bing_web_search import BingSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class BingProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            BingSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).validate_credentials(
-                credentials=credentials,
-                tool_parameters={
-                    "query": "test",
-                    "result_type": "link",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/bing/bing.yaml b/api/core/tools/provider/builtin/bing/bing.yaml
deleted file mode 100644
index 1ab17d5294..0000000000
--- a/api/core/tools/provider/builtin/bing/bing.yaml
+++ /dev/null
@@ -1,107 +0,0 @@
-identity:
-  author: Dify
-  name: bing
-  label:
-    en_US: Bing
-    zh_Hans: Bing
-    pt_BR: Bing
-  description:
-    en_US: Bing Search
-    zh_Hans: Bing 搜索
-    pt_BR: Bing Search
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  subscription_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Bing subscription key
-      zh_Hans: Bing subscription key
-      pt_BR: Bing subscription key
-    placeholder:
-      en_US: Please input your Bing subscription key
-      zh_Hans: 请输入你的 Bing subscription key
-      pt_BR: Please input your Bing subscription key
-    help:
-      en_US: Get your Bing subscription key from Bing
-      zh_Hans: 从 Bing 获取您的 Bing subscription key
-      pt_BR: Get your Bing subscription key from Bing
-    url: https://www.microsoft.com/cognitive-services/en-us/bing-web-search-api
-  server_url:
-    type: text-input
-    required: false
-    label:
-      en_US: Bing endpoint
-      zh_Hans: Bing endpoint
-      pt_BR: Bing endpoint
-    placeholder:
-      en_US: Please input your Bing endpoint
-      zh_Hans: 请输入你的 Bing 端点
-      pt_BR: Please input your Bing endpoint
-    help:
-      en_US: An endpoint is like "https://api.bing.microsoft.com/v7.0/search"
-      zh_Hans: 例如 "https://api.bing.microsoft.com/v7.0/search"
-      pt_BR: An endpoint is like "https://api.bing.microsoft.com/v7.0/search"
-    default: https://api.bing.microsoft.com/v7.0/search
-  allow_entities:
-    type: boolean
-    required: false
-    label:
-      en_US: Allow Entities Search
-      zh_Hans: 支持实体搜索
-      pt_BR: Allow Entities Search
-    help:
-      en_US: Does your subscription plan allow entity search
-      zh_Hans: 您的订阅计划是否支持实体搜索
-      pt_BR: Does your subscription plan allow entity search
-    default: true
-  allow_web_pages:
-    type: boolean
-    required: false
-    label:
-      en_US: Allow Web Pages Search
-      zh_Hans: 支持网页搜索
-      pt_BR: Allow Web Pages Search
-    help:
-      en_US: Does your subscription plan allow web pages search
-      zh_Hans: 您的订阅计划是否支持网页搜索
-      pt_BR: Does your subscription plan allow web pages search
-    default: true
-  allow_computation:
-    type: boolean
-    required: false
-    label:
-      en_US: Allow Computation Search
-      zh_Hans: 支持计算搜索
-      pt_BR: Allow Computation Search
-    help:
-      en_US: Does your subscription plan allow computation search
-      zh_Hans: 您的订阅计划是否支持计算搜索
-      pt_BR: Does your subscription plan allow computation search
-    default: false
-  allow_news:
-    type: boolean
-    required: false
-    label:
-      en_US: Allow News Search
-      zh_Hans: 支持新闻搜索
-      pt_BR: Allow News Search
-    help:
-      en_US: Does your subscription plan allow news search
-      zh_Hans: 您的订阅计划是否支持新闻搜索
-      pt_BR: Does your subscription plan allow news search
-    default: false
-  allow_related_searches:
-    type: boolean
-    required: false
-    label:
-      en_US: Allow Related Searches
-      zh_Hans: 支持相关搜索
-      pt_BR: Allow Related Searches
-    help:
-      en_US: Does your subscription plan allow related searches
-      zh_Hans: 您的订阅计划是否支持相关搜索
-      pt_BR: Does your subscription plan allow related searches
-    default: false
diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py
deleted file mode 100644
index 0de6936983..0000000000
--- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py
+++ /dev/null
@@ -1,237 +0,0 @@
-from typing import Any, Union
-from urllib.parse import quote
-
-from requests import get
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BingSearchTool(BuiltinTool):
-    url: str = "https://api.bing.microsoft.com/v7.0/search"
-
-    def _invoke_bing(
-        self,
-        user_id: str,
-        server_url: str,
-        subscription_key: str,
-        query: str,
-        limit: int,
-        result_type: str,
-        market: str,
-        lang: str,
-        filters: list[str],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke bing search
-        """
-        market_code = f"{lang}-{market}"
-        accept_language = f"{lang},{market_code};q=0.9"
-        headers = {"Ocp-Apim-Subscription-Key": subscription_key, "Accept-Language": accept_language}
-
-        query = quote(query)
-        server_url = f"{server_url}?q={query}&mkt={market_code}&count={limit}&responseFilter={','.join(filters)}"
-        response = get(server_url, headers=headers)
-
-        if response.status_code != 200:
-            raise Exception(f"Error {response.status_code}: {response.text}")
-
-        response = response.json()
-        search_results = response["webPages"]["value"][:limit] if "webPages" in response else []
-        related_searches = response["relatedSearches"]["value"] if "relatedSearches" in response else []
-        entities = response["entities"]["value"] if "entities" in response else []
-        news = response["news"]["value"] if "news" in response else []
-        computation = response["computation"]["value"] if "computation" in response else None
-
-        if result_type == "link":
-            results = []
-            if search_results:
-                for result in search_results:
-                    url = f": {result['url']}" if "url" in result else ""
-                    results.append(self.create_text_message(text=f"{result['name']}{url}"))
-
-            if entities:
-                for entity in entities:
-                    url = f": {entity['url']}" if "url" in entity else ""
-                    results.append(self.create_text_message(text=f"{entity.get('name', '')}{url}"))
-
-            if news:
-                for news_item in news:
-                    url = f": {news_item['url']}" if "url" in news_item else ""
-                    results.append(self.create_text_message(text=f"{news_item.get('name', '')}{url}"))
-
-            if related_searches:
-                for related in related_searches:
-                    url = f": {related['displayText']}" if "displayText" in related else ""
-                    results.append(self.create_text_message(text=f"{related.get('displayText', '')}{url}"))
-
-            return results
-        elif result_type == "json":
-            result = {}
-            if search_results:
-                result["organic"] = [
-                    {
-                        "title": item.get("name", ""),
-                        "snippet": item.get("snippet", ""),
-                        "url": item.get("url", ""),
-                        "siteName": item.get("siteName", ""),
-                    }
-                    for item in search_results
-                ]
-
-            if computation and "expression" in computation and "value" in computation:
-                result["computation"] = {"expression": computation["expression"], "value": computation["value"]}
-
-            if entities:
-                result["entities"] = [
-                    {
-                        "name": item.get("name", ""),
-                        "url": item.get("url", ""),
-                        "description": item.get("description", ""),
-                    }
-                    for item in entities
-                ]
-
-            if news:
-                result["news"] = [{"name": item.get("name", ""), "url": item.get("url", "")} for item in news]
-
-            if related_searches:
-                result["related searches"] = [
-                    {"displayText": item.get("displayText", ""), "url": item.get("webSearchUrl", "")} for item in news
-                ]
-
-            return self.create_json_message(result)
-        else:
-            # construct text
-            text = ""
-            if search_results:
-                for i, result in enumerate(search_results):
-                    text += f"{i + 1}: {result.get('name', '')} - {result.get('snippet', '')}\n"
-
-            if computation and "expression" in computation and "value" in computation:
-                text += "\nComputation:\n"
-                text += f"{computation['expression']} = {computation['value']}\n"
-
-            if entities:
-                text += "\nEntities:\n"
-                for entity in entities:
-                    url = f"- {entity['url']}" if "url" in entity else ""
-                    text += f"{entity.get('name', '')}{url}\n"
-
-            if news:
-                text += "\nNews:\n"
-                for news_item in news:
-                    url = f"- {news_item['url']}" if "url" in news_item else ""
-                    text += f"{news_item.get('name', '')}{url}\n"
-
-            if related_searches:
-                text += "\n\nRelated Searches:\n"
-                for related in related_searches:
-                    url = f"- {related['webSearchUrl']}" if "webSearchUrl" in related else ""
-                    text += f"{related.get('displayText', '')}{url}\n"
-
-            return self.create_text_message(text=self.summary(user_id=user_id, content=text))
-
-    def validate_credentials(self, credentials: dict[str, Any], tool_parameters: dict[str, Any]) -> None:
-        key = credentials.get("subscription_key")
-        if not key:
-            raise Exception("subscription_key is required")
-
-        server_url = credentials.get("server_url")
-        if not server_url:
-            server_url = self.url
-
-        query = tool_parameters.get("query")
-        if not query:
-            raise Exception("query is required")
-
-        limit = min(tool_parameters.get("limit", 5), 10)
-        result_type = tool_parameters.get("result_type", "text") or "text"
-
-        market = tool_parameters.get("market", "US")
-        lang = tool_parameters.get("language", "en")
-        filter = []
-
-        if credentials.get("allow_entities", False):
-            filter.append("Entities")
-
-        if credentials.get("allow_computation", False):
-            filter.append("Computation")
-
-        if credentials.get("allow_news", False):
-            filter.append("News")
-
-        if credentials.get("allow_related_searches", False):
-            filter.append("RelatedSearches")
-
-        if credentials.get("allow_web_pages", False):
-            filter.append("WebPages")
-
-        if not filter:
-            raise Exception("At least one filter is required")
-
-        self._invoke_bing(
-            user_id="test",
-            server_url=server_url,
-            subscription_key=key,
-            query=query,
-            limit=limit,
-            result_type=result_type,
-            market=market,
-            lang=lang,
-            filters=filter,
-        )
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-
-        key = self.runtime.credentials.get("subscription_key", None)
-        if not key:
-            raise Exception("subscription_key is required")
-
-        server_url = self.runtime.credentials.get("server_url", None)
-        if not server_url:
-            server_url = self.url
-
-        query = tool_parameters.get("query")
-        if not query:
-            raise Exception("query is required")
-
-        limit = min(tool_parameters.get("limit", 5), 10)
-        result_type = tool_parameters.get("result_type", "text") or "text"
-
-        market = tool_parameters.get("market", "US")
-        lang = tool_parameters.get("language", "en")
-        filter = []
-
-        if tool_parameters.get("enable_computation", False):
-            filter.append("Computation")
-        if tool_parameters.get("enable_entities", False):
-            filter.append("Entities")
-        if tool_parameters.get("enable_news", False):
-            filter.append("News")
-        if tool_parameters.get("enable_related_search", False):
-            filter.append("RelatedSearches")
-        if tool_parameters.get("enable_webpages", False):
-            filter.append("WebPages")
-
-        if not filter:
-            raise Exception("At least one filter is required")
-
-        return self._invoke_bing(
-            user_id=user_id,
-            server_url=server_url,
-            subscription_key=key,
-            query=query,
-            limit=limit,
-            result_type=result_type,
-            market=market,
-            lang=lang,
-            filters=filter,
-        )
diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml b/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml
deleted file mode 100644
index f5c932c37b..0000000000
--- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml
+++ /dev/null
@@ -1,589 +0,0 @@
-identity:
-  name: bing_web_search
-  author: Dify
-  label:
-    en_US: BingWebSearch
-    zh_Hans: 必应网页搜索
-    pt_BR: BingWebSearch
-description:
-  human:
-    en_US: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query.
-    zh_Hans: 一个用于执行 Bing SERP 搜索并提取片段和网页的工具。输入应该是一个搜索查询。
-    pt_BR: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query.
-  llm: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query.
-parameters:
-  - name: query
-    type: string
-    required: true
-    form: llm
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: used for searching
-      zh_Hans: 用于搜索网页内容
-      pt_BR: used for searching
-    llm_description: key words for searching
-  - name: enable_computation
-    type: boolean
-    required: false
-    form: form
-    label:
-      en_US: Enable computation
-      zh_Hans: 启用计算
-      pt_BR: Enable computation
-    human_description:
-      en_US: enable computation
-      zh_Hans: 启用计算
-      pt_BR: enable computation
-    default: false
-  - name: enable_entities
-    type: boolean
-    required: false
-    form: form
-    label:
-      en_US: Enable entities
-      zh_Hans: 启用实体搜索
-      pt_BR: Enable entities
-    human_description:
-      en_US: enable entities
-      zh_Hans: 启用实体搜索
-      pt_BR: enable entities
-    default: true
-  - name: enable_news
-    type: boolean
-    required: false
-    form: form
-    label:
-      en_US: Enable news
-      zh_Hans: 启用新闻搜索
-      pt_BR: Enable news
-    human_description:
-      en_US: enable news
-      zh_Hans: 启用新闻搜索
-      pt_BR: enable news
-    default: false
-  - name: enable_related_search
-    type: boolean
-    required: false
-    form: form
-    label:
-      en_US: Enable related search
-      zh_Hans: 启用相关搜索
-      pt_BR: Enable related search
-    human_description:
-      en_US: enable related search
-      zh_Hans: 启用相关搜索
-      pt_BR: enable related search
-    default: false
-  - name: enable_webpages
-    type: boolean
-    required: false
-    form: form
-    label:
-      en_US: Enable webpages search
-      zh_Hans: 启用网页搜索
-      pt_BR: Enable webpages search
-    human_description:
-      en_US: enable webpages search
-      zh_Hans: 启用网页搜索
-      pt_BR: enable webpages search
-    default: true
-  - name: limit
-    type: number
-    required: true
-    form: form
-    label:
-      en_US: Limit for results length
-      zh_Hans: 返回长度限制
-      pt_BR: Limit for results length
-    human_description:
-      en_US: limit the number of results
-      zh_Hans: 限制返回结果的数量
-      pt_BR: limit the number of results
-    min: 1
-    max: 10
-    default: 5
-  - name: result_type
-    type: select
-    required: true
-    label:
-      en_US: result type
-      zh_Hans: 结果类型
-      pt_BR: result type
-    human_description:
-      en_US: return a list of links, json or texts
-      zh_Hans: 返回一个列表，内容是链接、json还是纯文本
-      pt_BR: return a list of links, json or texts
-    default: text
-    options:
-      - value: link
-        label:
-          en_US: Link
-          zh_Hans: 链接
-          pt_BR: Link
-      - value: json
-        label:
-          en_US: JSON
-          zh_Hans: JSON
-          pt_BR: JSON
-      - value: text
-        label:
-          en_US: Text
-          zh_Hans: 文本
-          pt_BR: Text
-    form: form
-  - name: market
-    type: select
-    label:
-      en_US: Market
-      zh_Hans: 市场
-      pt_BR: Market
-    human_description:
-      en_US: market takes responsibility for the region
-      zh_Hans: 市场决定了搜索结果的地区
-      pt_BR: market takes responsibility for the region
-    required: false
-    form: form
-    default: US
-    options:
-      - value: AR
-        label:
-          en_US: Argentina
-          zh_Hans: 阿根廷
-          pt_BR: Argentina
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Austria
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Belgium
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colombia
-      - value: CN
-        label:
-          en_US: China
-          zh_Hans: 中国
-          pt_BR: China
-      - value: CZ
-        label:
-          en_US: Czech Republic
-          zh_Hans: 捷克共和国
-          pt_BR: Czech Republic
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Denmark
-      - value: FI
-        label:
-          en_US: Finland
-          zh_Hans: 芬兰
-          pt_BR: Finland
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonesia
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Italy
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malaysia
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: Mexico
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Netherlands
-      - value: NZ
-        label:
-          en_US: New Zealand
-          zh_Hans: 新西兰
-          pt_BR: New Zealand
-      - value: 'NO'
-        label:
-          en_US: Norway
-          zh_Hans: 挪威
-          pt_BR: Norway
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Philippines
-      - value: PL
-        label:
-          en_US: Poland
-          zh_Hans: 波兰
-          pt_BR: Poland
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: RU
-        label:
-          en_US: Russia
-          zh_Hans: 俄罗斯
-          pt_BR: Russia
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Saudi Arabia
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: South Africa
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Spain
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Switzerland
-      - value: TW
-        label:
-          en_US: Taiwan
-          zh_Hans: 台湾
-          pt_BR: Taiwan
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Thailand
-      - value: TR
-        label:
-          en_US: Turkey
-          zh_Hans: 土耳其
-          pt_BR: Turkey
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-  - name: language
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-      pt_BR: Language
-    human_description:
-      en_US: language takes responsibility for the language of the search result
-      zh_Hans: 语言决定了搜索结果的语言
-      pt_BR: language takes responsibility for the language of the search result
-    required: false
-    default: en
-    form: form
-    options:
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-          pt_BR: Arabic
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-          pt_BR: Bulgarian
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-          pt_BR: Catalan
-      - value: zh-hans
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-          pt_BR: Chinese (Simplified)
-      - value: zh-hant
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-          pt_BR: Chinese (Traditional)
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-          pt_BR: Czech
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-          pt_BR: Danish
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-          pt_BR: Dutch
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-          pt_BR: English
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-          pt_BR: Estonian
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-          pt_BR: Finnish
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-          pt_BR: French
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-          pt_BR: German
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-          pt_BR: Greek
-      - value: he
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-          pt_BR: Hebrew
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-          pt_BR: Hindi
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-          pt_BR: Hungarian
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-          pt_BR: Indonesian
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-          pt_BR: Italian
-      - value: jp
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-          pt_BR: Japanese
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-          pt_BR: Kannada
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-          pt_BR: Korean
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-          pt_BR: Latvian
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-          pt_BR: Lithuanian
-      - value: ms
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-          pt_BR: Malay
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-          pt_BR: Malayalam
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-          pt_BR: Marathi
-      - value: nb
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-          pt_BR: Norwegian
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-          pt_BR: Polish
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-          pt_BR: Portuguese (Brazil)
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-          pt_BR: Portuguese (Portugal)
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-          pt_BR: Punjabi
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-          pt_BR: Romanian
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-          pt_BR: Russian
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-          pt_BR: Serbian
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-          pt_BR: Slovak
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-          pt_BR: Slovenian
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-          pt_BR: Spanish
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-          pt_BR: Swedish
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-          pt_BR: Tamil
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-          pt_BR: Telugu
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-          pt_BR: Thai
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-          pt_BR: Turkish
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-          pt_BR: Ukrainian
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-          pt_BR: Vietnamese
diff --git a/api/core/tools/provider/builtin/brave/_assets/icon.svg b/api/core/tools/provider/builtin/brave/_assets/icon.svg
deleted file mode 100644
index d059f7c516..0000000000
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diff --git a/api/core/tools/provider/builtin/brave/brave.py b/api/core/tools/provider/builtin/brave/brave.py
deleted file mode 100644
index c24ee67334..0000000000
--- a/api/core/tools/provider/builtin/brave/brave.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.brave.tools.brave_search import BraveSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class BraveProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            BraveSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "Sachin Tendulkar",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/brave/brave.yaml b/api/core/tools/provider/builtin/brave/brave.yaml
deleted file mode 100644
index 2b0dcc0188..0000000000
--- a/api/core/tools/provider/builtin/brave/brave.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-identity:
-  author: Yash Parmar
-  name: brave
-  label:
-    en_US: Brave
-    zh_Hans: Brave
-    pt_BR: Brave
-  description:
-    en_US: Brave
-    zh_Hans: Brave
-    pt_BR: Brave
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  brave_search_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Brave Search API key
-      zh_Hans: Brave Search API key
-      pt_BR: Brave Search API key
-    placeholder:
-      en_US: Please input your Brave Search API key
-      zh_Hans: 请输入你的 Brave Search API key
-      pt_BR: Please input your Brave Search API key
-    help:
-      en_US: Get your Brave Search API key from Brave
-      zh_Hans: 从 Brave 获取您的 Brave Search API key
-      pt_BR: Get your Brave Search API key from Brave
-    url: https://brave.com/search/api/
-  base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: Brave server's Base URL
-      zh_Hans: Brave服务器的API URL
-    placeholder:
-      en_US: https://api.search.brave.com/res/v1/web/search
diff --git a/api/core/tools/provider/builtin/brave/tools/brave_search.py b/api/core/tools/provider/builtin/brave/tools/brave_search.py
deleted file mode 100644
index c34362ae52..0000000000
--- a/api/core/tools/provider/builtin/brave/tools/brave_search.py
+++ /dev/null
@@ -1,138 +0,0 @@
-import json
-from typing import Any, Optional
-
-import requests
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-BRAVE_BASE_URL = "https://api.search.brave.com/res/v1/web/search"
-
-
-class BraveSearchWrapper(BaseModel):
-    """Wrapper around the Brave search engine."""
-
-    api_key: str
-    """The API key to use for the Brave search engine."""
-    search_kwargs: dict = Field(default_factory=dict)
-    """Additional keyword arguments to pass to the search request."""
-    base_url: str = BRAVE_BASE_URL
-    """The base URL for the Brave search engine."""
-    ensure_ascii: bool = True
-    """Ensure the JSON output is ASCII encoded."""
-
-    def run(self, query: str) -> str:
-        """Query the Brave search engine and return the results as a JSON string.
-
-        Args:
-            query: The query to search for.
-
-        Returns: The results as a JSON string.
-
-        """
-        web_search_results = self._search_request(query=query)
-        final_results = [
-            {
-                "title": item.get("title"),
-                "link": item.get("url"),
-                "snippet": item.get("description"),
-            }
-            for item in web_search_results
-        ]
-        return json.dumps(final_results, ensure_ascii=self.ensure_ascii)
-
-    def _search_request(self, query: str) -> list[dict]:
-        headers = {
-            "X-Subscription-Token": self.api_key,
-            "Accept": "application/json",
-        }
-        req = requests.PreparedRequest()
-        params = {**self.search_kwargs, **{"q": query}}
-        req.prepare_url(self.base_url, params)
-        if req.url is None:
-            raise ValueError("prepared url is None, this should not happen")
-
-        response = requests.get(req.url, headers=headers)
-        if not response.ok:
-            raise Exception(f"HTTP error {response.status_code}")
-
-        return response.json().get("web", {}).get("results", [])
-
-
-class BraveSearch(BaseModel):
-    """Tool that queries the BraveSearch."""
-
-    name: str = "brave_search"
-    description: str = (
-        "a search engine. "
-        "useful for when you need to answer questions about current events."
-        " input should be a search query."
-    )
-    search_wrapper: BraveSearchWrapper
-
-    @classmethod
-    def from_api_key(
-        cls, api_key: str, base_url: str, search_kwargs: Optional[dict] = None, ensure_ascii: bool = True, **kwargs: Any
-    ) -> "BraveSearch":
-        """Create a tool from an api key.
-
-        Args:
-            api_key: The api key to use.
-            search_kwargs: Any additional kwargs to pass to the search wrapper.
-            **kwargs: Any additional kwargs to pass to the tool.
-
-        Returns:
-            A tool.
-        """
-        wrapper = BraveSearchWrapper(
-            api_key=api_key, base_url=base_url, search_kwargs=search_kwargs or {}, ensure_ascii=ensure_ascii
-        )
-        return cls(search_wrapper=wrapper, **kwargs)
-
-    def _run(
-        self,
-        query: str,
-    ) -> str:
-        """Use the tool."""
-        return self.search_wrapper.run(query)
-
-
-class BraveSearchTool(BuiltinTool):
-    """
-    Tool for performing a search using Brave search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invoke the Brave search tool.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool invocation.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation.
-        """
-        query = tool_parameters.get("query", "")
-        count = tool_parameters.get("count", 3)
-        api_key = self.runtime.credentials["brave_search_api_key"]
-        base_url = self.runtime.credentials.get("base_url", BRAVE_BASE_URL)
-        ensure_ascii = tool_parameters.get("ensure_ascii", True)
-
-        if len(base_url) == 0:
-            base_url = BRAVE_BASE_URL
-
-        if not query:
-            return self.create_text_message("Please input query")
-
-        tool = BraveSearch.from_api_key(
-            api_key=api_key, base_url=base_url, search_kwargs={"count": count}, ensure_ascii=ensure_ascii
-        )
-
-        results = tool._run(query)
-
-        if not results:
-            return self.create_text_message(f"No results found for '{query}' in Tavily")
-        else:
-            return self.create_text_message(text=results)
diff --git a/api/core/tools/provider/builtin/brave/tools/brave_search.yaml b/api/core/tools/provider/builtin/brave/tools/brave_search.yaml
deleted file mode 100644
index 5222a375f8..0000000000
--- a/api/core/tools/provider/builtin/brave/tools/brave_search.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-identity:
-  name: brave_search
-  author: Yash Parmar
-  label:
-    en_US: BraveSearch
-    zh_Hans: BraveSearch
-    pt_BR: BraveSearch
-description:
-  human:
-    en_US: BraveSearch is a privacy-focused search engine that leverages its own index to deliver unbiased, independent, and fast search results. It's designed to respect user privacy by not tracking searches or personal information, making it a secure choice for those concerned about online privacy.
-    zh_Hans: BraveSearch 是一个注重隐私的搜索引擎，它利用自己的索引来提供公正、独立和快速的搜索结果。它旨在通过不跟踪搜索或个人信息来尊重用户隐私，为那些关注在线隐私的用户提供了一个安全的选择。
-    pt_BR: BraveSearch é um mecanismo de busca focado na privacidade que utiliza seu próprio índice para entregar resultados de busca imparciais, independentes e rápidos. Ele é projetado para respeitar a privacidade do usuário, não rastreando buscas ou informações pessoais, tornando-se uma escolha segura para aqueles preocupados com a privacidade online.
-  llm: BraveSearch is a privacy-centric search engine utilizing its unique index to offer unbiased, independent, and swift search results. It aims to protect user privacy by avoiding the tracking of search activities or personal data, presenting a secure option for users mindful of their online privacy.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: The text input used for initiating searches on the web, focusing on delivering relevant and accurate results without compromising user privacy.
-      zh_Hans: 用于在网上启动搜索的文本输入，专注于提供相关且准确的结果，同时不妨碍用户隐私。
-      pt_BR: A entrada de texto usada para iniciar pesquisas na web, focada em entregar resultados relevantes e precisos sem comprometer a privacidade do usuário.
-    llm_description: Keywords or phrases entered to perform searches, aimed at providing relevant and precise results while ensuring the privacy of the user is maintained.
-    form: llm
-  - name: count
-    type: number
-    required: false
-    default: 3
-    label:
-      en_US: Result count
-      zh_Hans: 结果数量
-      pt_BR: Contagem de resultados
-    human_description:
-      en_US: The number of search results to return, allowing users to control the breadth of their search output.
-      zh_Hans: 要返回的搜索结果数量，允许用户控制他们搜索输出的广度。
-      pt_BR: O número de resultados de pesquisa a serem retornados, permitindo que os usuários controlem a amplitude de sua saída de pesquisa.
-    llm_description: Specifies the amount of search results to be displayed, offering users the ability to adjust the scope of their search findings.
-    form: llm
-  - name: ensure_ascii
-    type: boolean
-    default: true
-    label:
-      en_US: Ensure ASCII
-      zh_Hans: 确保 ASCII
-      pt_BR: Ensure ASCII
-    human_description:
-      en_US: Ensure the JSON output is ASCII encoded
-      zh_Hans: 确保输出的 JSON 是 ASCII 编码
-      pt_BR: Ensure the JSON output is ASCII encoded
-    form: form
diff --git a/api/core/tools/provider/builtin/chart/_assets/icon.png b/api/core/tools/provider/builtin/chart/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/chart/chart.py b/api/core/tools/provider/builtin/chart/chart.py
deleted file mode 100644
index 8fa647d9ed..0000000000
--- a/api/core/tools/provider/builtin/chart/chart.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import matplotlib
-import matplotlib.pyplot as plt
-from matplotlib.font_manager import FontProperties, fontManager
-
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-def set_chinese_font():
-    to_find_fonts = [
-        "PingFang SC",
-        "SimHei",
-        "Microsoft YaHei",
-        "STSong",
-        "SimSun",
-        "Arial Unicode MS",
-        "Noto Sans CJK SC",
-        "Noto Sans CJK JP",
-    ]
-    installed_fonts = frozenset(fontInfo.name for fontInfo in fontManager.ttflist)
-    for font in to_find_fonts:
-        if font in installed_fonts:
-            return FontProperties(font)
-
-    return FontProperties()
-
-
-# use non-interactive backend to prevent `RuntimeError: main thread is not in main loop`
-matplotlib.use("Agg")
-# use a business theme
-plt.style.use("seaborn-v0_8-darkgrid")
-plt.rcParams["axes.unicode_minus"] = False
-font_properties = set_chinese_font()
-plt.rcParams["font.family"] = font_properties.get_name()
-
-
-class ChartProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        pass
diff --git a/api/core/tools/provider/builtin/chart/chart.yaml b/api/core/tools/provider/builtin/chart/chart.yaml
deleted file mode 100644
index ad0d9a6cd6..0000000000
--- a/api/core/tools/provider/builtin/chart/chart.yaml
+++ /dev/null
@@ -1,17 +0,0 @@
-identity:
-  author: Dify
-  name: chart
-  label:
-    en_US: ChartGenerator
-    zh_Hans: 图表生成
-    pt_BR: Gerador de gráficos
-  description:
-    en_US: Chart Generator is a tool for generating statistical charts like bar chart, line chart, pie chart, etc.
-    zh_Hans: 图表生成是一个用于生成可视化图表的工具，你可以通过它来生成柱状图、折线图、饼图等各类图表
-    pt_BR: O Gerador de gráficos é uma ferramenta para gerar gráficos estatísticos como gráfico de barras, gráfico de linhas, gráfico de pizza, etc.
-  icon: icon.png
-  tags:
-    - design
-    - productivity
-    - utilities
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/chart/tools/bar.py b/api/core/tools/provider/builtin/chart/tools/bar.py
deleted file mode 100644
index 20ce5e138b..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/bar.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import io
-from typing import Any, Union
-
-import matplotlib.pyplot as plt
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class BarChartTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        data = tool_parameters.get("data", "")
-        if not data:
-            return self.create_text_message("Please input data")
-        data = data.split(";")
-
-        # if all data is int, convert to int
-        if all(i.isdigit() for i in data):
-            data = [int(i) for i in data]
-        else:
-            data = [float(i) for i in data]
-
-        axis = tool_parameters.get("x_axis") or None
-        if axis:
-            axis = axis.split(";")
-            if len(axis) != len(data):
-                axis = None
-
-        flg, ax = plt.subplots(figsize=(10, 8))
-
-        if axis:
-            axis = [label[:10] + "..." if len(label) > 10 else label for label in axis]
-            ax.set_xticklabels(axis, rotation=45, ha="right")
-            # ensure all labels, including duplicates, are correctly displayed
-            ax.bar(range(len(data)), data)
-            ax.set_xticks(range(len(data)))
-        else:
-            ax.bar(range(len(data)), data)
-
-        buf = io.BytesIO()
-        flg.savefig(buf, format="png")
-        buf.seek(0)
-        plt.close(flg)
-
-        return [
-            self.create_text_message("the bar chart is saved as an image."),
-            self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}),
-        ]
diff --git a/api/core/tools/provider/builtin/chart/tools/bar.yaml b/api/core/tools/provider/builtin/chart/tools/bar.yaml
deleted file mode 100644
index ee7405f681..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/bar.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-identity:
-  name: bar_chart
-  author: Dify
-  label:
-    en_US: Bar Chart
-    zh_Hans: 柱状图
-    pt_BR: Gráfico de barras
-  icon: icon.svg
-description:
-  human:
-    en_US: Bar chart
-    zh_Hans: 柱状图
-    pt_BR: Gráfico de barras
-  llm: generate a bar chart with input data
-parameters:
-  - name: data
-    type: string
-    required: true
-    label:
-      en_US: data
-      zh_Hans: 数据
-      pt_BR: dados
-    human_description:
-      en_US: data for generating chart, each number should be separated by ";"
-      zh_Hans: 用于生成柱状图的数据，每个数字之间用 ";" 分隔
-      pt_BR: dados para gerar gráfico de barras, cada número deve ser separado por ";"
-    llm_description: data for generating bar chart, data should be a string contains a list of numbers like "1;2;3;4;5"
-    form: llm
-  - name: x_axis
-    type: string
-    required: false
-    label:
-      en_US: X Axis
-      zh_Hans: x 轴
-      pt_BR: Eixo X
-    human_description:
-      en_US: X axis for chart, each text should be separated by ";"
-      zh_Hans: 柱状图的 x 轴，每个文本之间用 ";" 分隔
-      pt_BR: Eixo X para gráfico de barras, cada texto deve ser separado por ";"
-    llm_description: x axis for bar chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data
-    form: llm
diff --git a/api/core/tools/provider/builtin/chart/tools/line.py b/api/core/tools/provider/builtin/chart/tools/line.py
deleted file mode 100644
index 39e8caac7e..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/line.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import io
-from typing import Any, Union
-
-import matplotlib.pyplot as plt
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class LinearChartTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        data = tool_parameters.get("data", "")
-        if not data:
-            return self.create_text_message("Please input data")
-        data = data.split(";")
-
-        axis = tool_parameters.get("x_axis") or None
-        if axis:
-            axis = axis.split(";")
-            if len(axis) != len(data):
-                axis = None
-
-        # if all data is int, convert to int
-        if all(i.isdigit() for i in data):
-            data = [int(i) for i in data]
-        else:
-            data = [float(i) for i in data]
-
-        flg, ax = plt.subplots(figsize=(10, 8))
-
-        if axis:
-            axis = [label[:10] + "..." if len(label) > 10 else label for label in axis]
-            ax.set_xticklabels(axis, rotation=45, ha="right")
-            ax.plot(axis, data)
-        else:
-            ax.plot(data)
-
-        buf = io.BytesIO()
-        flg.savefig(buf, format="png")
-        buf.seek(0)
-        plt.close(flg)
-
-        return [
-            self.create_text_message("the linear chart is saved as an image."),
-            self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}),
-        ]
diff --git a/api/core/tools/provider/builtin/chart/tools/line.yaml b/api/core/tools/provider/builtin/chart/tools/line.yaml
deleted file mode 100644
index 35ebe3b68b..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/line.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-identity:
-  name: line_chart
-  author: Dify
-  label:
-    en_US: Linear Chart
-    zh_Hans: 线性图表
-    pt_BR: Gráfico linear
-  icon: icon.svg
-description:
-  human:
-    en_US: linear chart
-    zh_Hans: 线性图表
-    pt_BR: Gráfico linear
-  llm: generate a linear chart with input data
-parameters:
-  - name: data
-    type: string
-    required: true
-    label:
-      en_US: data
-      zh_Hans: 数据
-      pt_BR: dados
-    human_description:
-      en_US: data for generating chart, each number should be separated by ";"
-      zh_Hans: 用于生成线性图表的数据，每个数字之间用 ";" 分隔
-      pt_BR: dados para gerar gráfico linear, cada número deve ser separado por ";"
-    llm_description: data for generating linear chart, data should be a string contains a list of numbers like "1;2;3;4;5"
-    form: llm
-  - name: x_axis
-    type: string
-    required: false
-    label:
-      en_US: X Axis
-      zh_Hans: x 轴
-      pt_BR: Eixo X
-    human_description:
-      en_US: X axis for chart, each text should be separated by ";"
-      zh_Hans: 线性图表的 x 轴，每个文本之间用 ";" 分隔
-      pt_BR: Eixo X para gráfico linear, cada texto deve ser separado por ";"
-    llm_description: x axis for linear chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data
-    form: llm
diff --git a/api/core/tools/provider/builtin/chart/tools/pie.py b/api/core/tools/provider/builtin/chart/tools/pie.py
deleted file mode 100644
index 2c3b8a733e..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/pie.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import io
-from typing import Any, Union
-
-import matplotlib.pyplot as plt
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class PieChartTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        data = tool_parameters.get("data", "")
-        if not data:
-            return self.create_text_message("Please input data")
-        data = data.split(";")
-        categories = tool_parameters.get("categories") or None
-
-        # if all data is int, convert to int
-        if all(i.isdigit() for i in data):
-            data = [int(i) for i in data]
-        else:
-            data = [float(i) for i in data]
-
-        flg, ax = plt.subplots()
-
-        if categories:
-            categories = categories.split(";")
-            if len(categories) != len(data):
-                categories = None
-
-        if categories:
-            ax.pie(data, labels=categories)
-        else:
-            ax.pie(data)
-
-        buf = io.BytesIO()
-        flg.savefig(buf, format="png")
-        buf.seek(0)
-        plt.close(flg)
-
-        return [
-            self.create_text_message("the pie chart is saved as an image."),
-            self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}),
-        ]
diff --git a/api/core/tools/provider/builtin/chart/tools/pie.yaml b/api/core/tools/provider/builtin/chart/tools/pie.yaml
deleted file mode 100644
index 541715cb7d..0000000000
--- a/api/core/tools/provider/builtin/chart/tools/pie.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-identity:
-  name: pie_chart
-  author: Dify
-  label:
-    en_US: Pie Chart
-    zh_Hans: 饼图
-    pt_BR: Gráfico de pizza
-  icon: icon.svg
-description:
-  human:
-    en_US: Pie chart
-    zh_Hans: 饼图
-    pt_BR: Gráfico de pizza
-  llm: generate a pie chart with input data
-parameters:
-  - name: data
-    type: string
-    required: true
-    label:
-      en_US: data
-      zh_Hans: 数据
-      pt_BR: dados
-    human_description:
-      en_US: data for generating chart, each number should be separated by ";"
-      zh_Hans: 用于生成饼图的数据，每个数字之间用 ";" 分隔
-      pt_BR: dados para gerar gráfico de pizza, cada número deve ser separado por ";"
-    llm_description: data for generating pie chart, data should be a string contains a list of numbers like "1;2;3;4;5"
-    form: llm
-  - name: categories
-    type: string
-    required: true
-    label:
-      en_US: Categories
-      zh_Hans: 分类
-      pt_BR: Categorias
-    human_description:
-      en_US: Categories for chart, each category should be separated by ";"
-      zh_Hans: 饼图的分类，每个分类之间用 ";" 分隔
-      pt_BR: Categorias para gráfico de pizza, cada categoria deve ser separada por ";"
-    llm_description: categories for pie chart, categories should be a string contains a list of texts like "a;b;c;1;2" in order to match the data, each category should be split by ";"
-    form: llm
diff --git a/api/core/tools/provider/builtin/code/code.py b/api/core/tools/provider/builtin/code/code.py
deleted file mode 100644
index 211417c9a4..0000000000
--- a/api/core/tools/provider/builtin/code/code.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class CodeToolProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        pass
diff --git a/api/core/tools/provider/builtin/cogview/__init__.py b/api/core/tools/provider/builtin/cogview/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/cogview/_assets/icon.png b/api/core/tools/provider/builtin/cogview/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/cogview/cogview.py b/api/core/tools/provider/builtin/cogview/cogview.py
deleted file mode 100644
index 6941ce8649..0000000000
--- a/api/core/tools/provider/builtin/cogview/cogview.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""Provide the input parameters type for the cogview provider class"""
-
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.cogview.tools.cogview3 import CogView3Tool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class COGVIEWProvider(BuiltinToolProviderController):
-    """cogview provider"""
-
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            CogView3Tool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "prompt": "一个城市在水晶瓶中欢快生活的场景，水彩画风格，展现出微观与珠宝般的美丽。",
-                    "size": "square",
-                    "n": 1,
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e)) from e
diff --git a/api/core/tools/provider/builtin/cogview/cogview.yaml b/api/core/tools/provider/builtin/cogview/cogview.yaml
deleted file mode 100644
index 374b0e98d9..0000000000
--- a/api/core/tools/provider/builtin/cogview/cogview.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-identity:
-  author: Waffle
-  name: cogview
-  label:
-    en_US: CogView
-    zh_Hans: CogView 绘画
-    pt_BR: CogView
-  description:
-    en_US: CogView art
-    zh_Hans: CogView 绘画
-    pt_BR: CogView art
-  icon: icon.png
-  tags:
-    - image
-    - productivity
-credentials_for_provider:
-  zhipuai_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: ZhipuAI API key
-      zh_Hans: ZhipuAI API key
-      pt_BR: ZhipuAI API key
-    help:
-      en_US: Please input your ZhipuAI API key
-      zh_Hans: 请输入你的 ZhipuAI API key
-      pt_BR: Please input your ZhipuAI API key
-    placeholder:
-      en_US: Please input your ZhipuAI API key
-      zh_Hans: 请输入你的 ZhipuAI API key
-      pt_BR: Please input your ZhipuAI API key
-  zhipuai_organizaion_id:
-    type: text-input
-    required: false
-    label:
-      en_US: ZhipuAI organization ID
-      zh_Hans: ZhipuAI organization ID
-      pt_BR: ZhipuAI organization ID
-    help:
-      en_US: Please input your ZhipuAI organization ID
-      zh_Hans: 请输入你的 ZhipuAI organization ID
-      pt_BR: Please input your ZhipuAI organization ID
-    placeholder:
-      en_US: Please input your ZhipuAI organization ID
-      zh_Hans: 请输入你的 ZhipuAI organization ID
-      pt_BR: Please input your ZhipuAI organization ID
-  zhipuai_base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: ZhipuAI base URL
-      zh_Hans: ZhipuAI base URL
-      pt_BR: ZhipuAI base URL
-    help:
-      en_US: Please input your ZhipuAI base URL
-      zh_Hans: 请输入你的 ZhipuAI base URL
-      pt_BR: Please input your ZhipuAI base URL
-    placeholder:
-      en_US: Please input your ZhipuAI base URL
-      zh_Hans: 请输入你的 ZhipuAI base URL
-      pt_BR: Please input your ZhipuAI base URL
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo.py b/api/core/tools/provider/builtin/cogview/tools/cogvideo.py
deleted file mode 100644
index a60062ca66..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogvideo.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any, Union
-
-from zhipuai import ZhipuAI  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CogVideoTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        client = ZhipuAI(
-            base_url=self.runtime.credentials["zhipuai_base_url"],
-            api_key=self.runtime.credentials["zhipuai_api_key"],
-        )
-        if not tool_parameters.get("prompt") and not tool_parameters.get("image_url"):
-            return self.create_text_message("require at least one of prompt and image_url")
-
-        response = client.videos.generations(
-            model="cogvideox", prompt=tool_parameters.get("prompt"), image_url=tool_parameters.get("image_url")
-        )
-
-        return self.create_json_message(response.dict())
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml b/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml
deleted file mode 100644
index 3df0cfcea9..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  name: cogvideo
-  author: hjlarry
-  label:
-    en_US: CogVideo
-    zh_Hans: CogVideo 视频生成
-description:
-  human:
-    en_US: Use the CogVideox model provided by ZhipuAI to generate videos based on user prompts and images.
-    zh_Hans: 使用智谱cogvideox模型，根据用户输入的提示词和图片，生成视频。
-  llm: A tool for generating videos. The input is user's prompt or image url or both of them, the output is a task id. You can use another tool with this task id to check the status and get the video.
-parameters:
-  - name: prompt
-    type: string
-    label:
-      en_US: prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The prompt text used to generate video.
-      zh_Hans: 用于生成视频的提示词。
-    llm_description: The prompt text used to generate video. Optional.
-    form: llm
-  - name: image_url
-    type: string
-    label:
-      en_US: image url
-      zh_Hans: 图片链接
-    human_description:
-      en_US: The image url used to generate video.
-      zh_Hans: 输入一个图片链接，生成的视频将基于该图片和提示词。
-    llm_description: The image url used to generate video. Optional.
-    form: llm
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py b/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py
deleted file mode 100644
index 3e24b74d25..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from typing import Any, Union
-
-import httpx
-from zhipuai import ZhipuAI  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CogVideoJobTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        client = ZhipuAI(
-            api_key=self.runtime.credentials["zhipuai_api_key"],
-            base_url=self.runtime.credentials["zhipuai_base_url"],
-        )
-
-        response = client.videos.retrieve_videos_result(id=tool_parameters.get("id"))
-        result = [self.create_json_message(response.dict())]
-        if response.task_status == "SUCCESS":
-            for item in response.video_result:
-                video_cover_image = self.create_image_message(item.cover_image_url)
-                result.append(video_cover_image)
-                video = self.create_blob_message(
-                    blob=httpx.get(item.url).content, meta={"mime_type": "video/mp4"}, save_as=self.VariableKey.VIDEO
-                )
-                result.append(video)
-
-        return result
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml b/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml
deleted file mode 100644
index fb2eb3ab13..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-identity:
-  name: cogvideo_job
-  author: hjlarry
-  label:
-    en_US: CogVideo Result
-    zh_Hans: CogVideo 结果获取
-description:
-  human:
-    en_US: Get the result of CogVideo tool generation.
-    zh_Hans: 根据 CogVideo 工具返回的 id 获取视频生成结果。
-  llm: Get the result of CogVideo tool generation. The input is the id which is returned by the CogVideo tool. The output is the url of video and video cover image.
-parameters:
-  - name: id
-    type: string
-    label:
-      en_US: id
-    human_description:
-      en_US: The id returned by the CogVideo.
-      zh_Hans: CogVideo 工具返回的 id。
-    llm_description: The id returned by the cogvideo.
-    form: llm
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.py b/api/core/tools/provider/builtin/cogview/tools/cogview3.py
deleted file mode 100644
index 9aa781709a..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogview3.py
+++ /dev/null
@@ -1,93 +0,0 @@
-import random
-from typing import Any, Union
-
-from zhipuai import ZhipuAI  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CogView3Tool(BuiltinTool):
-    """CogView3 Tool"""
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke CogView3 tool
-        """
-        client = ZhipuAI(
-            base_url=self.runtime.credentials["zhipuai_base_url"],
-            api_key=self.runtime.credentials["zhipuai_api_key"],
-        )
-        size_mapping = {
-            "square": "1024x1024",
-            "vertical_768": "768x1344",
-            "vertical_864": "864x1152",
-            "horizontal_1344": "1344x768",
-            "horizontal_1152": "1152x864",
-            "widescreen_1440": "1440x720",
-            "tallscreen_720": "720x1440",
-        }
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-        # get size key
-        size_key = tool_parameters.get("size", "square")
-        # cogview-3-plus get size
-        if size_key != "cogview_3":
-            size = size_mapping[size_key]
-        # get n
-        n = tool_parameters.get("n", 1)
-        # get quality
-        quality = tool_parameters.get("quality", "standard")
-        if quality not in {"standard", "hd"}:
-            return self.create_text_message("Invalid quality")
-        # get style
-        style = tool_parameters.get("style", "vivid")
-        if style not in {"natural", "vivid"}:
-            return self.create_text_message("Invalid style")
-        # set extra body
-        seed_id = tool_parameters.get("seed_id", self._generate_random_id(8))
-        extra_body = {"seed": seed_id}
-        # cogview-3-plus
-        if size_key != "cogview_3":
-            response = client.images.generations(
-                prompt=prompt,
-                model="cogview-3-plus",
-                size=size,
-                n=n,
-                extra_body=extra_body,
-                style=style,
-                quality=quality,
-                response_format="b64_json",
-            )
-        # cogview-3
-        else:
-            response = client.images.generations(
-                prompt=prompt,
-                model="cogview-3",
-                n=n,
-                extra_body=extra_body,
-                style=style,
-                quality=quality,
-                response_format="b64_json",
-            )
-        result = []
-        for image in response.data:
-            result.append(self.create_image_message(image=image.url))
-            result.append(
-                self.create_json_message(
-                    {
-                        "url": image.url,
-                    }
-                )
-            )
-        return result
-
-    @staticmethod
-    def _generate_random_id(length=8):
-        characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
-        random_id = "".join(random.choices(characters, k=length))
-        return random_id
diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml b/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml
deleted file mode 100644
index 9ab5c2729b..0000000000
--- a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml
+++ /dev/null
@@ -1,148 +0,0 @@
-identity:
-  name: cogview3
-  author: Waffle
-  label:
-    en_US: CogView 3
-    zh_Hans: CogView 3 绘画
-    pt_BR: CogView 3
-  description:
-    en_US: CogView 3 is a powerful drawing tool that can draw the image you want based on your prompt
-    zh_Hans: CogView 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像
-    pt_BR: CogView 3 is a powerful drawing tool that can draw the image you want based on your prompt
-description:
-  human:
-    en_US: CogView 3 is a text to image tool
-    zh_Hans: CogView 3 是一个文本到图像的工具
-    pt_BR: CogView 3 is a text to image tool
-  llm: CogView 3 is a tool used to generate images from text
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of CogView 3
-      zh_Hans: 图像提示词，您可以查看 CogView 3 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of CogView 3
-    llm_description: Image prompt of CogView 3, you should describe the image you want to generate as a list of words as possible as detailed
-    form: llm
-  - name: size
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image size
-      zh_Hans: 选择图像大小
-      pt_BR: selecting the image size
-    label:
-      en_US: Image size
-      zh_Hans: 图像大小
-      pt_BR: Image size
-    form: form
-    options:
-      - value: cogview_3
-        label:
-          en_US: Square_cogview_3(1024x1024)
-          zh_Hans: 方_cogview_3(1024x1024)
-          pt_BR: Square_cogview_3(1024x1024)
-      - value: square
-        label:
-          en_US: Square(1024x1024)
-          zh_Hans: 方(1024x1024)
-          pt_BR: Square(1024x1024)
-      - value: vertical_768
-        label:
-          en_US: Vertical(768x1344)
-          zh_Hans: 竖屏(768x1344)
-          pt_BR: Vertical(768x1344)
-      - value: vertical_864
-        label:
-          en_US: Vertical(864x1152)
-          zh_Hans: 竖屏(864x1152)
-          pt_BR: Vertical(864x1152)
-      - value: horizontal_1344
-        label:
-          en_US: Horizontal(1344x768)
-          zh_Hans: 横屏(1344x768)
-          pt_BR: Horizontal(1344x768)
-      - value: horizontal_1152
-        label:
-          en_US: Horizontal(1152x864)
-          zh_Hans: 横屏(1152x864)
-          pt_BR: Horizontal(1152x864)
-      - value: widescreen_1440
-        label:
-          en_US: Widescreen(1440x720)
-          zh_Hans: 宽屏(1440x720)
-          pt_BR: Widescreen(1440x720)
-      - value: tallscreen_720
-        label:
-          en_US: Tallscreen(720x1440)
-          zh_Hans: 高屏(720x1440)
-          pt_BR: Tallscreen(720x1440)
-    default: square
-  - name: n
-    type: number
-    required: true
-    human_description:
-      en_US: selecting the number of images
-      zh_Hans: 选择图像数量
-      pt_BR: selecting the number of images
-    label:
-      en_US: Number of images
-      zh_Hans: 图像数量
-      pt_BR: Number of images
-    form: form
-    min: 1
-    max: 1
-    default: 1
-  - name: quality
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image quality
-      zh_Hans: 选择图像质量
-      pt_BR: selecting the image quality
-    label:
-      en_US: Image quality
-      zh_Hans: 图像质量
-      pt_BR: Image quality
-    form: form
-    options:
-      - value: standard
-        label:
-          en_US: Standard
-          zh_Hans: 标准
-          pt_BR: Standard
-      - value: hd
-        label:
-          en_US: HD
-          zh_Hans: 高清
-          pt_BR: HD
-    default: standard
-  - name: style
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image style
-      zh_Hans: 选择图像风格
-      pt_BR: selecting the image style
-    label:
-      en_US: Image style
-      zh_Hans: 图像风格
-      pt_BR: Image style
-    form: form
-    options:
-      - value: vivid
-        label:
-          en_US: Vivid
-          zh_Hans: 生动
-          pt_BR: Vivid
-      - value: natural
-        label:
-          en_US: Natural
-          zh_Hans: 自然
-          pt_BR: Natural
-    default: vivid
diff --git a/api/core/tools/provider/builtin/comfyui/_assets/icon.png b/api/core/tools/provider/builtin/comfyui/_assets/icon.png
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diff --git a/api/core/tools/provider/builtin/comfyui/comfyui.py b/api/core/tools/provider/builtin/comfyui/comfyui.py
deleted file mode 100644
index a8127dd23f..0000000000
--- a/api/core/tools/provider/builtin/comfyui/comfyui.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any
-
-import websocket
-from yarl import URL
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class ComfyUIProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        ws = websocket.WebSocket()
-        base_url = URL(credentials.get("base_url"))
-        ws_protocol = "ws"
-        if base_url.scheme == "https":
-            ws_protocol = "wss"
-        ws_address = f"{ws_protocol}://{base_url.authority}/ws?clientId=test123"
-
-        try:
-            ws.connect(ws_address)
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(f"can not connect to {ws_address}")
-        finally:
-            ws.close()
diff --git a/api/core/tools/provider/builtin/comfyui/comfyui.yaml b/api/core/tools/provider/builtin/comfyui/comfyui.yaml
deleted file mode 100644
index 24ae43cd44..0000000000
--- a/api/core/tools/provider/builtin/comfyui/comfyui.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  author: Qun
-  name: comfyui
-  label:
-    en_US: ComfyUI
-    zh_Hans: ComfyUI
-  description:
-    en_US: ComfyUI is a tool for generating images which can be deployed locally.
-    zh_Hans: ComfyUI 是一个可以在本地部署的图片生成的工具。
-  icon: icon.png
-  tags:
-    - image
-credentials_for_provider:
-  base_url:
-    type: text-input
-    required: true
-    label:
-      en_US: The URL of ComfyUI Server
-      zh_Hans: ComfyUI服务器的URL
-    placeholder:
-      en_US: Please input your ComfyUI server's Base URL
-      zh_Hans: 请输入你的 ComfyUI 服务器的 Base URL
-    url: https://docs.dify.ai/guides/tools/tool-configuration/comfyui
diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py
deleted file mode 100644
index 2bf10ce8ff..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py
+++ /dev/null
@@ -1,131 +0,0 @@
-import json
-import random
-import uuid
-
-import httpx
-from websocket import WebSocket
-from yarl import URL
-
-from core.file.file_manager import download
-from core.file.models import File
-
-
-class ComfyUiClient:
-    def __init__(self, base_url: str):
-        self.base_url = URL(base_url)
-
-    def get_history(self, prompt_id: str) -> dict:
-        res = httpx.get(str(self.base_url / "history"), params={"prompt_id": prompt_id})
-        history = res.json()[prompt_id]
-        return history
-
-    def get_image(self, filename: str, subfolder: str, folder_type: str) -> bytes:
-        response = httpx.get(
-            str(self.base_url / "view"),
-            params={"filename": filename, "subfolder": subfolder, "type": folder_type},
-        )
-        return response.content
-
-    def upload_image(self, image_file: File) -> dict:
-        file = download(image_file)
-        files = {"image": (image_file.filename, file, image_file.mime_type), "overwrite": "true"}
-        res = httpx.post(str(self.base_url / "upload/image"), files=files)
-        return res.json()
-
-    def queue_prompt(self, client_id: str, prompt: dict) -> str:
-        res = httpx.post(str(self.base_url / "prompt"), json={"client_id": client_id, "prompt": prompt})
-        prompt_id = res.json()["prompt_id"]
-        return prompt_id
-
-    def open_websocket_connection(self) -> tuple[WebSocket, str]:
-        client_id = str(uuid.uuid4())
-        ws = WebSocket()
-        ws_protocol = "ws"
-        if self.base_url.scheme == "https":
-            ws_protocol = "wss"
-        ws_address = f"{ws_protocol}://{self.base_url.authority}/ws?clientId={client_id}"
-        ws.connect(ws_address)
-        return ws, client_id
-
-    def set_prompt_by_ksampler(self, origin_prompt: dict, positive_prompt: str, negative_prompt: str = "") -> dict:
-        prompt = origin_prompt.copy()
-        id_to_class_type = {id: details["class_type"] for id, details in prompt.items()}
-        k_sampler = [key for key, value in id_to_class_type.items() if value == "KSampler"][0]
-        positive_input_id = prompt.get(k_sampler)["inputs"]["positive"][0]
-        prompt.get(positive_input_id)["inputs"]["text"] = positive_prompt
-
-        if negative_prompt != "":
-            negative_input_id = prompt.get(k_sampler)["inputs"]["negative"][0]
-            prompt.get(negative_input_id)["inputs"]["text"] = negative_prompt
-
-        return prompt
-
-    def set_prompt_images_by_ids(self, origin_prompt: dict, image_names: list[str], image_ids: list[str]) -> dict:
-        prompt = origin_prompt.copy()
-        for index, image_node_id in enumerate(image_ids):
-            prompt[image_node_id]["inputs"]["image"] = image_names[index]
-        return prompt
-
-    def set_prompt_images_by_default(self, origin_prompt: dict, image_names: list[str]) -> dict:
-        prompt = origin_prompt.copy()
-        id_to_class_type = {id: details["class_type"] for id, details in prompt.items()}
-        load_image_nodes = [key for key, value in id_to_class_type.items() if value == "LoadImage"]
-        for load_image, image_name in zip(load_image_nodes, image_names):
-            prompt.get(load_image)["inputs"]["image"] = image_name
-        return prompt
-
-    def set_prompt_seed_by_id(self, origin_prompt: dict, seed_id: str) -> dict:
-        prompt = origin_prompt.copy()
-        if seed_id not in prompt:
-            raise Exception("Not a valid seed node")
-        if "seed" in prompt[seed_id]["inputs"]:
-            prompt[seed_id]["inputs"]["seed"] = random.randint(10**14, 10**15 - 1)
-        elif "noise_seed" in prompt[seed_id]["inputs"]:
-            prompt[seed_id]["inputs"]["noise_seed"] = random.randint(10**14, 10**15 - 1)
-        else:
-            raise Exception("Not a valid seed node")
-        return prompt
-
-    def track_progress(self, prompt: dict, ws: WebSocket, prompt_id: str):
-        node_ids = list(prompt.keys())
-        finished_nodes = []
-
-        while True:
-            out = ws.recv()
-            if isinstance(out, str):
-                message = json.loads(out)
-                if message["type"] == "progress":
-                    data = message["data"]
-                    current_step = data["value"]
-                    print("In K-Sampler -> Step: ", current_step, " of: ", data["max"])
-                if message["type"] == "execution_cached":
-                    data = message["data"]
-                    for itm in data["nodes"]:
-                        if itm not in finished_nodes:
-                            finished_nodes.append(itm)
-                            print("Progress: ", len(finished_nodes), "/", len(node_ids), " Tasks done")
-                if message["type"] == "executing":
-                    data = message["data"]
-                    if data["node"] not in finished_nodes:
-                        finished_nodes.append(data["node"])
-                        print("Progress: ", len(finished_nodes), "/", len(node_ids), " Tasks done")
-
-                    if data["node"] is None and data["prompt_id"] == prompt_id:
-                        break  # Execution is done
-            else:
-                continue
-
-    def generate_image_by_prompt(self, prompt: dict) -> list[bytes]:
-        try:
-            ws, client_id = self.open_websocket_connection()
-            prompt_id = self.queue_prompt(client_id, prompt)
-            self.track_progress(prompt, ws, prompt_id)
-            history = self.get_history(prompt_id)
-            images = []
-            for output in history["outputs"].values():
-                for img in output.get("images", []):
-                    image_data = self.get_image(img["filename"], img["subfolder"], img["type"])
-                    images.append((image_data, img["filename"]))
-            return images
-        finally:
-            ws.close()
diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py
deleted file mode 100644
index eaa4b0d027..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py
+++ /dev/null
@@ -1,475 +0,0 @@
-import json
-import os
-import random
-import uuid
-from copy import deepcopy
-from enum import Enum
-from typing import Any, Union
-
-import websocket
-from httpx import get, post
-from yarl import URL
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SD_TXT2IMG_OPTIONS = {}
-LORA_NODE = {
-    "inputs": {"lora_name": "", "strength_model": 1, "strength_clip": 1, "model": ["11", 0], "clip": ["11", 1]},
-    "class_type": "LoraLoader",
-    "_meta": {"title": "Load LoRA"},
-}
-FluxGuidanceNode = {
-    "inputs": {"guidance": 3.5, "conditioning": ["6", 0]},
-    "class_type": "FluxGuidance",
-    "_meta": {"title": "FluxGuidance"},
-}
-
-
-class ModelType(Enum):
-    SD15 = 1
-    SDXL = 2
-    SD3 = 3
-    FLUX = 4
-
-
-class ComfyuiStableDiffusionTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # base url
-        base_url = self.runtime.credentials.get("base_url", "")
-        if not base_url:
-            return self.create_text_message("Please input base_url")
-
-        if tool_parameters.get("model"):
-            self.runtime.credentials["model"] = tool_parameters["model"]
-
-        model = self.runtime.credentials.get("model", None)
-        if not model:
-            return self.create_text_message("Please input model")
-
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-
-        # get negative prompt
-        negative_prompt = tool_parameters.get("negative_prompt", "")
-
-        # get size
-        width = tool_parameters.get("width", 1024)
-        height = tool_parameters.get("height", 1024)
-
-        # get steps
-        steps = tool_parameters.get("steps", 1)
-
-        # get sampler_name
-        sampler_name = tool_parameters.get("sampler_name", "euler")
-
-        # scheduler
-        scheduler = tool_parameters.get("scheduler", "normal")
-
-        # get cfg
-        cfg = tool_parameters.get("cfg", 7.0)
-
-        # get model type
-        model_type = tool_parameters.get("model_type", ModelType.SD15.name)
-
-        # get lora
-        # supports up to 3 loras
-        lora_list = []
-        lora_strength_list = []
-        if tool_parameters.get("lora_1"):
-            lora_list.append(tool_parameters["lora_1"])
-            lora_strength_list.append(tool_parameters.get("lora_strength_1", 1))
-        if tool_parameters.get("lora_2"):
-            lora_list.append(tool_parameters["lora_2"])
-            lora_strength_list.append(tool_parameters.get("lora_strength_2", 1))
-        if tool_parameters.get("lora_3"):
-            lora_list.append(tool_parameters["lora_3"])
-            lora_strength_list.append(tool_parameters.get("lora_strength_3", 1))
-
-        return self.text2img(
-            base_url=base_url,
-            model=model,
-            model_type=model_type,
-            prompt=prompt,
-            negative_prompt=negative_prompt,
-            width=width,
-            height=height,
-            steps=steps,
-            sampler_name=sampler_name,
-            scheduler=scheduler,
-            cfg=cfg,
-            lora_list=lora_list,
-            lora_strength_list=lora_strength_list,
-        )
-
-    def get_checkpoints(self) -> list[str]:
-        """
-        get checkpoints
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "models" / "checkpoints")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                return []
-            else:
-                return response.json()
-        except Exception as e:
-            return []
-
-    def get_loras(self) -> list[str]:
-        """
-        get loras
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "models" / "loras")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                return []
-            else:
-                return response.json()
-        except Exception as e:
-            return []
-
-    def get_sample_methods(self) -> tuple[list[str], list[str]]:
-        """
-        get sample method
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return [], []
-            api_url = str(URL(base_url) / "object_info" / "KSampler")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                return [], []
-            else:
-                data = response.json()["KSampler"]["input"]["required"]
-                return data["sampler_name"][0], data["scheduler"][0]
-        except Exception as e:
-            return [], []
-
-    def validate_models(self) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        validate models
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                raise ToolProviderCredentialValidationError("Please input base_url")
-            model = self.runtime.credentials.get("model", None)
-            if not model:
-                raise ToolProviderCredentialValidationError("Please input model")
-
-            api_url = str(URL(base_url) / "models" / "checkpoints")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                raise ToolProviderCredentialValidationError("Failed to get models")
-            else:
-                models = response.json()
-                if len([d for d in models if d == model]) > 0:
-                    return self.create_text_message(json.dumps(models))
-                else:
-                    raise ToolProviderCredentialValidationError(f"model {model} does not exist")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(f"Failed to get models, {e}")
-
-    def get_history(self, base_url, prompt_id):
-        """
-        get history
-        """
-        url = str(URL(base_url) / "history")
-        respond = get(url, params={"prompt_id": prompt_id}, timeout=(2, 10))
-        return respond.json()
-
-    def download_image(self, base_url, filename, subfolder, folder_type):
-        """
-        download image
-        """
-        url = str(URL(base_url) / "view")
-        response = get(url, params={"filename": filename, "subfolder": subfolder, "type": folder_type}, timeout=(2, 10))
-        return response.content
-
-    def queue_prompt_image(self, base_url, client_id, prompt):
-        """
-        send prompt task and rotate
-        """
-        # initiate task execution
-        url = str(URL(base_url) / "prompt")
-        respond = post(url, data=json.dumps({"client_id": client_id, "prompt": prompt}), timeout=(2, 10))
-        prompt_id = respond.json()["prompt_id"]
-
-        ws = websocket.WebSocket()
-        if "https" in base_url:
-            ws_url = base_url.replace("https", "ws")
-        else:
-            ws_url = base_url.replace("http", "ws")
-        ws.connect(str(URL(f"{ws_url}") / "ws") + f"?clientId={client_id}", timeout=120)
-
-        # websocket rotate execution status
-        output_images = {}
-        while True:
-            out = ws.recv()
-            if isinstance(out, str):
-                message = json.loads(out)
-                if message["type"] == "executing":
-                    data = message["data"]
-                    if data["node"] is None and data["prompt_id"] == prompt_id:
-                        break  # Execution is done
-                elif message["type"] == "status":
-                    data = message["data"]
-                    if data["status"]["exec_info"]["queue_remaining"] == 0 and data.get("sid"):
-                        break  # Execution is done
-            else:
-                continue  # previews are binary data
-
-        # download image when execution finished
-        history = self.get_history(base_url, prompt_id)[prompt_id]
-        for o in history["outputs"]:
-            for node_id in history["outputs"]:
-                node_output = history["outputs"][node_id]
-                if "images" in node_output:
-                    images_output = []
-                    for image in node_output["images"]:
-                        image_data = self.download_image(base_url, image["filename"], image["subfolder"], image["type"])
-                        images_output.append(image_data)
-                    output_images[node_id] = images_output
-
-        ws.close()
-
-        return output_images
-
-    def text2img(
-        self,
-        base_url: str,
-        model: str,
-        model_type: str,
-        prompt: str,
-        negative_prompt: str,
-        width: int,
-        height: int,
-        steps: int,
-        sampler_name: str,
-        scheduler: str,
-        cfg: float,
-        lora_list: list,
-        lora_strength_list: list,
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        generate image
-        """
-        if not SD_TXT2IMG_OPTIONS:
-            current_dir = os.path.dirname(os.path.realpath(__file__))
-            with open(os.path.join(current_dir, "txt2img.json")) as file:
-                SD_TXT2IMG_OPTIONS.update(json.load(file))
-
-        draw_options = deepcopy(SD_TXT2IMG_OPTIONS)
-        draw_options["3"]["inputs"]["steps"] = steps
-        draw_options["3"]["inputs"]["sampler_name"] = sampler_name
-        draw_options["3"]["inputs"]["scheduler"] = scheduler
-        draw_options["3"]["inputs"]["cfg"] = cfg
-        # generate different image when using same prompt next time
-        draw_options["3"]["inputs"]["seed"] = random.randint(0, 100000000)
-        draw_options["4"]["inputs"]["ckpt_name"] = model
-        draw_options["5"]["inputs"]["width"] = width
-        draw_options["5"]["inputs"]["height"] = height
-        draw_options["6"]["inputs"]["text"] = prompt
-        draw_options["7"]["inputs"]["text"] = negative_prompt
-        # if the model is SD3 or FLUX series, the Latent class should be corresponding to SD3 Latent
-        if model_type in {ModelType.SD3.name, ModelType.FLUX.name}:
-            draw_options["5"]["class_type"] = "EmptySD3LatentImage"
-
-        if lora_list:
-            # last Lora node link to KSampler node
-            draw_options["3"]["inputs"]["model"][0] = "10"
-            # last Lora node link to positive and negative Clip node
-            draw_options["6"]["inputs"]["clip"][0] = "10"
-            draw_options["7"]["inputs"]["clip"][0] = "10"
-            # every Lora node link to next Lora node, and Checkpoints node link to first Lora node
-            for i, (lora, strength) in enumerate(zip(lora_list, lora_strength_list), 10):
-                if i - 10 == len(lora_list) - 1:
-                    next_node_id = "4"
-                else:
-                    next_node_id = str(i + 1)
-                lora_node = deepcopy(LORA_NODE)
-                lora_node["inputs"]["lora_name"] = lora
-                lora_node["inputs"]["strength_model"] = strength
-                lora_node["inputs"]["strength_clip"] = strength
-                lora_node["inputs"]["model"][0] = next_node_id
-                lora_node["inputs"]["clip"][0] = next_node_id
-                draw_options[str(i)] = lora_node
-
-        # FLUX need to add FluxGuidance Node
-        if model_type == ModelType.FLUX.name:
-            last_node_id = str(10 + len(lora_list))
-            draw_options[last_node_id] = deepcopy(FluxGuidanceNode)
-            draw_options[last_node_id]["inputs"]["conditioning"][0] = "6"
-            draw_options["3"]["inputs"]["positive"][0] = last_node_id
-
-        try:
-            client_id = str(uuid.uuid4())
-            result = self.queue_prompt_image(base_url, client_id, prompt=draw_options)
-
-            # get first image
-            image = b""
-            for node in result:
-                for img in result[node]:
-                    if img:
-                        image = img
-                        break
-
-            return self.create_blob_message(
-                blob=image, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-            )
-
-        except Exception as e:
-            return self.create_text_message(f"Failed to generate image: {str(e)}")
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        parameters = [
-            ToolParameter(
-                name="prompt",
-                label=I18nObject(en_US="Prompt", zh_Hans="Prompt"),
-                human_description=I18nObject(
-                    en_US="Image prompt, you can check the official documentation of Stable Diffusion",
-                    zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档",
-                ),
-                type=ToolParameter.ToolParameterType.STRING,
-                form=ToolParameter.ToolParameterForm.LLM,
-                llm_description="Image prompt of Stable Diffusion, you should describe the image "
-                "you want to generate as a list of words as possible as detailed, "
-                "the prompt must be written in English.",
-                required=True,
-            ),
-        ]
-        if self.runtime.credentials:
-            try:
-                models = self.get_checkpoints()
-                if len(models) != 0:
-                    parameters.append(
-                        ToolParameter(
-                            name="model",
-                            label=I18nObject(en_US="Model", zh_Hans="Model"),
-                            human_description=I18nObject(
-                                en_US="Model of Stable Diffusion or FLUX, "
-                                "you can check the official documentation of Stable Diffusion or FLUX",
-                                zh_Hans="Stable Diffusion 或者 FLUX 的模型，您可以查看 Stable Diffusion 的官方文档",
-                            ),
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            llm_description="Model of Stable Diffusion or FLUX, "
-                            "you can check the official documentation of Stable Diffusion or FLUX",
-                            required=True,
-                            default=models[0],
-                            options=[
-                                ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models
-                            ],
-                        )
-                    )
-                loras = self.get_loras()
-                if len(loras) != 0:
-                    for n in range(1, 4):
-                        parameters.append(
-                            ToolParameter(
-                                name=f"lora_{n}",
-                                label=I18nObject(en_US=f"Lora {n}", zh_Hans=f"Lora {n}"),
-                                human_description=I18nObject(
-                                    en_US="Lora of Stable Diffusion, "
-                                    "you can check the official documentation of Stable Diffusion",
-                                    zh_Hans="Stable Diffusion 的 Lora 模型，您可以查看 Stable Diffusion 的官方文档",
-                                ),
-                                type=ToolParameter.ToolParameterType.SELECT,
-                                form=ToolParameter.ToolParameterForm.FORM,
-                                llm_description="Lora of Stable Diffusion, "
-                                "you can check the official documentation of "
-                                "Stable Diffusion",
-                                required=False,
-                                options=[
-                                    ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in loras
-                                ],
-                            )
-                        )
-                sample_methods, schedulers = self.get_sample_methods()
-                if len(sample_methods) != 0:
-                    parameters.append(
-                        ToolParameter(
-                            name="sampler_name",
-                            label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"),
-                            human_description=I18nObject(
-                                en_US="Sampling method of Stable Diffusion, "
-                                "you can check the official documentation of Stable Diffusion",
-                                zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档",
-                            ),
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            llm_description="Sampling method of Stable Diffusion, "
-                            "you can check the official documentation of Stable Diffusion",
-                            required=True,
-                            default=sample_methods[0],
-                            options=[
-                                ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i))
-                                for i in sample_methods
-                            ],
-                        )
-                    )
-                if len(schedulers) != 0:
-                    parameters.append(
-                        ToolParameter(
-                            name="scheduler",
-                            label=I18nObject(en_US="Scheduler", zh_Hans="Scheduler"),
-                            human_description=I18nObject(
-                                en_US="Scheduler of Stable Diffusion, "
-                                "you can check the official documentation of Stable Diffusion",
-                                zh_Hans="Stable Diffusion 的Scheduler，您可以查看 Stable Diffusion 的官方文档",
-                            ),
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            llm_description="Scheduler of Stable Diffusion, "
-                            "you can check the official documentation of Stable Diffusion",
-                            required=True,
-                            default=schedulers[0],
-                            options=[
-                                ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in schedulers
-                            ],
-                        )
-                    )
-                parameters.append(
-                    ToolParameter(
-                        name="model_type",
-                        label=I18nObject(en_US="Model Type", zh_Hans="Model Type"),
-                        human_description=I18nObject(
-                            en_US="Model Type of Stable Diffusion or Flux, "
-                            "you can check the official documentation of Stable Diffusion or Flux",
-                            zh_Hans="Stable Diffusion 或 FLUX 的模型类型，"
-                            "您可以查看 Stable Diffusion 或 Flux 的官方文档",
-                        ),
-                        type=ToolParameter.ToolParameterType.SELECT,
-                        form=ToolParameter.ToolParameterForm.FORM,
-                        llm_description="Model Type of Stable Diffusion or Flux, "
-                        "you can check the official documentation of Stable Diffusion or Flux",
-                        required=True,
-                        default=ModelType.SD15.name,
-                        options=[
-                            ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i))
-                            for i in ModelType.__members__
-                        ],
-                    )
-                )
-            except:
-                pass
-
-        return parameters
diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml b/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml
deleted file mode 100644
index 75fe746965..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml
+++ /dev/null
@@ -1,212 +0,0 @@
-identity:
-  name: txt2img
-  author: Qun
-  label:
-    en_US: Txt2Img
-    zh_Hans: Txt2Img
-    pt_BR: Txt2Img
-description:
-  human:
-    en_US: a pre-defined comfyui workflow that can use one model and up to 3 loras to generate images. Support SD1.5, SDXL, SD3 and FLUX which contain text encoders/clip, but does not support models that requires a triple clip loader.
-    zh_Hans: 一个预定义的 ComfyUI 工作流，可以使用一个模型和最多3个loras来生成图像。支持包含文本编码器/clip的SD1.5、SDXL、SD3和FLUX，但不支持需要clip加载器的模型。
-    pt_BR: a pre-defined comfyui workflow that can use one model and up to 3 loras to generate images. Support SD1.5, SDXL, SD3 and FLUX which contain text encoders/clip, but does not support models that requires a triple clip loader.
-  llm: draw the image you want based on your prompt.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of Stable Diffusion or FLUX
-      zh_Hans: 图像提示词，您可以查看 Stable Diffusion 或者 FLUX 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of Stable Diffusion or FLUX
-    llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English.
-    form: llm
-  - name: model
-    type: string
-    required: true
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-      pt_BR: Model Name
-    human_description:
-      en_US: Model Name
-      zh_Hans: 模型名称
-      pt_BR: Model Name
-    form: form
-  - name: model_type
-    type: string
-    required: true
-    label:
-      en_US: Model Type
-      zh_Hans: 模型类型
-      pt_BR: Model Type
-    human_description:
-      en_US: Model Type
-      zh_Hans: 模型类型
-      pt_BR: Model Type
-    form: form
-  - name: lora_1
-    type: string
-    required: false
-    label:
-      en_US: Lora 1
-      zh_Hans: Lora 1
-      pt_BR: Lora 1
-    human_description:
-      en_US: Lora 1
-      zh_Hans: Lora 1
-      pt_BR: Lora 1
-    form: form
-  - name: lora_strength_1
-    type: number
-    required: false
-    label:
-      en_US: Lora Strength 1
-      zh_Hans: Lora Strength 1
-      pt_BR: Lora Strength 1
-    human_description:
-      en_US: Lora Strength 1
-      zh_Hans: Lora模型的权重
-      pt_BR: Lora Strength 1
-    form: form
-  - name: steps
-    type: number
-    required: false
-    label:
-      en_US: Steps
-      zh_Hans: Steps
-      pt_BR: Steps
-    human_description:
-      en_US: Steps
-      zh_Hans: Steps
-      pt_BR: Steps
-    form: form
-    default: 20
-  - name: width
-    type: number
-    required: false
-    label:
-      en_US: Width
-      zh_Hans: Width
-      pt_BR: Width
-    human_description:
-      en_US: Width
-      zh_Hans: Width
-      pt_BR: Width
-    form: form
-    default: 1024
-  - name: height
-    type: number
-    required: false
-    label:
-      en_US: Height
-      zh_Hans: Height
-      pt_BR: Height
-    human_description:
-      en_US: Height
-      zh_Hans: Height
-      pt_BR: Height
-    form: form
-    default: 1024
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-      pt_BR: Negative prompt
-    human_description:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-      pt_BR: Negative prompt
-    form: form
-    default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines
-  - name: cfg
-    type: number
-    required: false
-    label:
-      en_US: CFG Scale
-      zh_Hans: CFG Scale
-      pt_BR: CFG Scale
-    human_description:
-      en_US: CFG Scale
-      zh_Hans: 提示词相关性(CFG Scale)
-      pt_BR: CFG Scale
-    form: form
-    default: 7.0
-  - name: sampler_name
-    type: string
-    required: false
-    label:
-      en_US: Sampling method
-      zh_Hans: Sampling method
-      pt_BR: Sampling method
-    human_description:
-      en_US: Sampling method
-      zh_Hans: Sampling method
-      pt_BR: Sampling method
-    form: form
-  - name: scheduler
-    type: string
-    required: false
-    label:
-      en_US: Scheduler
-      zh_Hans: Scheduler
-      pt_BR: Scheduler
-    human_description:
-      en_US: Scheduler
-      zh_Hans: Scheduler
-      pt_BR: Scheduler
-    form: form
-  - name: lora_2
-    type: string
-    required: false
-    label:
-      en_US: Lora 2
-      zh_Hans: Lora 2
-      pt_BR: Lora 2
-    human_description:
-      en_US: Lora 2
-      zh_Hans: Lora 2
-      pt_BR: Lora 2
-    form: form
-  - name: lora_strength_2
-    type: number
-    required: false
-    label:
-      en_US: Lora Strength 2
-      zh_Hans: Lora Strength 2
-      pt_BR: Lora Strength 2
-    human_description:
-      en_US: Lora Strength 2
-      zh_Hans: Lora模型的权重
-      pt_BR: Lora Strength 2
-    form: form
-  - name: lora_3
-    type: string
-    required: false
-    label:
-      en_US: Lora 3
-      zh_Hans: Lora 3
-      pt_BR: Lora 3
-    human_description:
-      en_US: Lora 3
-      zh_Hans: Lora 3
-      pt_BR: Lora 3
-    form: form
-  - name: lora_strength_3
-    type: number
-    required: false
-    label:
-      en_US: Lora Strength 3
-      zh_Hans: Lora Strength 3
-      pt_BR: Lora Strength 3
-    human_description:
-      en_US: Lora Strength 3
-      zh_Hans: Lora模型的权重
-      pt_BR: Lora Strength 3
-    form: form
diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py
deleted file mode 100644
index eb085f221e..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import json
-import mimetypes
-from typing import Any
-
-from core.file import FileType
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolParameterValidationError
-from core.tools.provider.builtin.comfyui.tools.comfyui_client import ComfyUiClient
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-def sanitize_json_string(s):
-    escape_dict = {
-        "\n": "\\n",
-        "\r": "\\r",
-        "\t": "\\t",
-        "\b": "\\b",
-        "\f": "\\f",
-    }
-    for char, escaped in escape_dict.items():
-        s = s.replace(char, escaped)
-
-    return s
-
-
-class ComfyUIWorkflowTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        comfyui = ComfyUiClient(self.runtime.credentials["base_url"])
-
-        positive_prompt = tool_parameters.get("positive_prompt", "")
-        negative_prompt = tool_parameters.get("negative_prompt", "")
-        images = tool_parameters.get("images") or []
-        workflow = tool_parameters.get("workflow_json")
-        image_names = []
-        for image in images:
-            if image.type != FileType.IMAGE:
-                continue
-            image_name = comfyui.upload_image(image).get("name")
-            image_names.append(image_name)
-
-        set_prompt_with_ksampler = True
-        if "{{positive_prompt}}" in workflow:
-            set_prompt_with_ksampler = False
-            workflow = workflow.replace("{{positive_prompt}}", positive_prompt.replace('"', "'"))
-            workflow = workflow.replace("{{negative_prompt}}", negative_prompt.replace('"', "'"))
-
-        try:
-            prompt = json.loads(workflow)
-        except json.JSONDecodeError:
-            cleaned_string = sanitize_json_string(workflow)
-            try:
-                prompt = json.loads(cleaned_string)
-            except:
-                return self.create_text_message("the Workflow JSON is not correct")
-
-        if set_prompt_with_ksampler:
-            try:
-                prompt = comfyui.set_prompt_by_ksampler(prompt, positive_prompt, negative_prompt)
-            except:
-                raise ToolParameterValidationError(
-                    "Failed set prompt with KSampler, try replace prompt to {{positive_prompt}} in your workflow json"
-                )
-
-        if image_names:
-            if image_ids := tool_parameters.get("image_ids"):
-                image_ids = image_ids.split(",")
-                try:
-                    prompt = comfyui.set_prompt_images_by_ids(prompt, image_names, image_ids)
-                except:
-                    raise ToolParameterValidationError("the Image Node ID List not match your upload image files.")
-            else:
-                prompt = comfyui.set_prompt_images_by_default(prompt, image_names)
-
-        if seed_id := tool_parameters.get("seed_id"):
-            prompt = comfyui.set_prompt_seed_by_id(prompt, seed_id)
-
-        images = comfyui.generate_image_by_prompt(prompt)
-        result = []
-        for image_data, filename in images:
-            result.append(
-                self.create_blob_message(
-                    blob=image_data,
-                    meta={"mime_type": mimetypes.guess_type(filename)[0]},
-                    save_as=self.VariableKey.IMAGE.value,
-                )
-            )
-        return result
diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml b/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml
deleted file mode 100644
index 9428acbe94..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-identity:
-  name: workflow
-  author: hjlarry
-  label:
-    en_US: workflow
-    zh_Hans: 工作流
-description:
-  human:
-    en_US: Run ComfyUI workflow.
-    zh_Hans: 运行ComfyUI工作流。
-  llm: Run ComfyUI workflow.
-parameters:
-  - name: positive_prompt
-    type: string
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    llm_description: Image prompt, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English.
-    form: llm
-  - name: negative_prompt
-    type: string
-    label:
-      en_US: Negative Prompt
-      zh_Hans: 负面提示词
-    llm_description: Negative prompt, you should describe the image you don't want to generate as a list of words as possible as detailed, the prompt must be written in English.
-    form: llm
-  - name: images
-    type: files
-    label:
-      en_US: Input Images
-      zh_Hans: 输入的图片
-    llm_description: The input images, used to transfer to the comfyui workflow to generate another image.
-    form: llm
-  - name: workflow_json
-    type: string
-    required: true
-    label:
-      en_US: Workflow JSON
-    human_description:
-      en_US: exported from ComfyUI workflow
-      zh_Hans: 从ComfyUI的工作流中导出
-    form: form
-  - name: image_ids
-    type: string
-    label:
-      en_US: Image Node ID List
-      zh_Hans: 图片节点ID列表
-    placeholder:
-      en_US: Use commas to separate multiple node ID
-      zh_Hans: 多个节点ID时使用半角逗号分隔
-    human_description:
-      en_US: When the workflow has multiple image nodes, enter the ID list of these nodes, and the images will be passed to ComfyUI in the order of the list.
-      zh_Hans: 当工作流有多个图片节点时，输入这些节点的ID列表，图片将按列表顺序传给ComfyUI
-    form: form
-  - name: seed_id
-    type: string
-    label:
-      en_US: Seed Node Id
-      zh_Hans: 种子节点ID
-    human_description:
-      en_US: If you need to generate different images each time, you need to enter the ID of the seed node.
-      zh_Hans: 如果需要每次生成时使用不同的种子，需要输入包含种子的节点的ID
-    form: form
diff --git a/api/core/tools/provider/builtin/comfyui/tools/txt2img.json b/api/core/tools/provider/builtin/comfyui/tools/txt2img.json
deleted file mode 100644
index 8ea869ff10..0000000000
--- a/api/core/tools/provider/builtin/comfyui/tools/txt2img.json
+++ /dev/null
@@ -1,107 +0,0 @@
-{
-  "3": {
-    "inputs": {
-      "seed": 156680208700286,
-      "steps": 20,
-      "cfg": 8,
-      "sampler_name": "euler",
-      "scheduler": "normal",
-      "denoise": 1,
-      "model": [
-        "4",
-        0
-      ],
-      "positive": [
-        "6",
-        0
-      ],
-      "negative": [
-        "7",
-        0
-      ],
-      "latent_image": [
-        "5",
-        0
-      ]
-    },
-    "class_type": "KSampler",
-    "_meta": {
-      "title": "KSampler"
-    }
-  },
-  "4": {
-    "inputs": {
-      "ckpt_name": "3dAnimationDiffusion_v10.safetensors"
-    },
-    "class_type": "CheckpointLoaderSimple",
-    "_meta": {
-      "title": "Load Checkpoint"
-    }
-  },
-  "5": {
-    "inputs": {
-      "width": 512,
-      "height": 512,
-      "batch_size": 1
-    },
-    "class_type": "EmptyLatentImage",
-    "_meta": {
-      "title": "Empty Latent Image"
-    }
-  },
-  "6": {
-    "inputs": {
-      "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
-      "clip": [
-        "4",
-        1
-      ]
-    },
-    "class_type": "CLIPTextEncode",
-    "_meta": {
-      "title": "CLIP Text Encode (Prompt)"
-    }
-  },
-  "7": {
-    "inputs": {
-      "text": "text, watermark",
-      "clip": [
-        "4",
-        1
-      ]
-    },
-    "class_type": "CLIPTextEncode",
-    "_meta": {
-      "title": "CLIP Text Encode (Prompt)"
-    }
-  },
-  "8": {
-    "inputs": {
-      "samples": [
-        "3",
-        0
-      ],
-      "vae": [
-        "4",
-        2
-      ]
-    },
-    "class_type": "VAEDecode",
-    "_meta": {
-      "title": "VAE Decode"
-    }
-  },
-  "9": {
-    "inputs": {
-      "filename_prefix": "ComfyUI",
-      "images": [
-        "8",
-        0
-      ]
-    },
-    "class_type": "SaveImage",
-    "_meta": {
-      "title": "Save Image"
-    }
-  }
-}
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/crossref/_assets/icon.svg b/api/core/tools/provider/builtin/crossref/_assets/icon.svg
deleted file mode 100644
index aa629de7cb..0000000000
--- a/api/core/tools/provider/builtin/crossref/_assets/icon.svg
+++ /dev/null
@@ -1,49 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- Generator: Adobe Illustrator 19.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
-	 viewBox="0 0 200 130.2" style="enable-background:new 0 0 200 130.2;" xml:space="preserve">
-<style type="text/css">
-	.st0{fill:#3EB1C8;}
-	.st1{fill:#D8D2C4;}
-	.st2{fill:#4F5858;}
-	.st3{fill:#FFC72C;}
-	.st4{fill:#EF3340;}
-</style>
-<g>
-	<polygon class="st0" points="111.8,95.5 111.8,66.8 135.4,59 177.2,73.3 	"/>
-	<polygon class="st1" points="153.6,36.8 111.8,51.2 135.4,59 177.2,44.6 	"/>
-	<polygon class="st2" points="135.4,59 177.2,44.6 177.2,73.3 	"/>
-	<polygon class="st3" points="177.2,0.3 177.2,29 153.6,36.8 111.8,22.5 	"/>
-	<polygon class="st4" points="153.6,36.8 111.8,51.2 111.8,22.5 	"/>
-	<g>
-		<g>
-			<g>
-				<g>
-					<path class="st2" d="M26.3,104.8c-0.5-3.7-4.1-6.5-8.1-6.5c-7.3,0-10.1,6.2-10.1,12.7c0,6.2,2.8,12.4,10.1,12.4
-						c5,0,7.8-3.4,8.4-8.3h7.9c-0.8,9.2-7.2,15.2-16.3,15.2C6.8,130.2,0,121.7,0,111c0-11,6.8-19.6,18.2-19.6c8.2,0,15,4.8,16,13.3
-						H26.3z"/>
-					<path class="st2" d="M37.4,102.5h7v5h0.1c1.4-3.4,5-5.7,8.6-5.7c0.5,0,1.1,0.1,1.6,0.3v6.9c-0.7-0.2-1.8-0.3-2.6-0.3
-						c-5.4,0-7.3,3.9-7.3,8.6v12.1h-7.4V102.5z"/>
-					<path class="st2" d="M68.7,101.8c8.5,0,13.9,5.6,13.9,14.2c0,8.5-5.5,14.1-13.9,14.1c-8.4,0-13.9-5.6-13.9-14.1
-						C54.9,107.4,60.3,101.8,68.7,101.8z M68.7,124.5c5,0,6.5-4.3,6.5-8.6c0-4.3-1.5-8.6-6.5-8.6c-5,0-6.5,4.3-6.5,8.6
-						C62.2,120.2,63.8,124.5,68.7,124.5z"/>
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diff --git a/api/core/tools/provider/builtin/crossref/crossref.py b/api/core/tools/provider/builtin/crossref/crossref.py
deleted file mode 100644
index 8ba3c1b48a..0000000000
--- a/api/core/tools/provider/builtin/crossref/crossref.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.crossref.tools.query_doi import CrossRefQueryDOITool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class CrossRefProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            CrossRefQueryDOITool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "doi": "10.1007/s00894-022-05373-8",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/crossref/crossref.yaml b/api/core/tools/provider/builtin/crossref/crossref.yaml
deleted file mode 100644
index da67fbec3a..0000000000
--- a/api/core/tools/provider/builtin/crossref/crossref.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-identity:
-  author: Sakura4036
-  name: crossref
-  label:
-    en_US: CrossRef
-    zh_Hans: CrossRef
-  description:
-    en_US: Crossref is a cross-publisher reference linking registration query system using DOI technology created in 2000. Crossref establishes cross-database links between the reference list and citation full text of papers, making it very convenient for readers to access the full text of papers.
-    zh_Hans: Crossref是于2000年创建的使用DOI技术的跨出版商参考文献链接注册查询系统。Crossref建立了在论文的参考文献列表和引文全文之间的跨数据库链接，使得读者能够非常便捷地获取文献全文。
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  mailto:
-    type: text-input
-    required: true
-    label:
-      en_US: email address
-      zh_Hans: email地址
-      pt_BR: email address
-    placeholder:
-      en_US: Please input your email address
-      zh_Hans: 请输入你的email地址
-      pt_BR: Please input your email address
-    help:
-      en_US: According to the requirements of Crossref, an email address is required
-      zh_Hans: 根据Crossref的要求，需要提供一个邮箱地址
-      pt_BR: According to the requirements of Crossref, an email address is required
-    url: https://api.crossref.org/swagger-ui/index.html
diff --git a/api/core/tools/provider/builtin/crossref/tools/query_doi.py b/api/core/tools/provider/builtin/crossref/tools/query_doi.py
deleted file mode 100644
index 746139dd69..0000000000
--- a/api/core/tools/provider/builtin/crossref/tools/query_doi.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolParameterValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CrossRefQueryDOITool(BuiltinTool):
-    """
-    Tool for querying the metadata of a publication using its DOI.
-    """
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        doi = tool_parameters.get("doi")
-        if not doi:
-            raise ToolParameterValidationError("doi is required.")
-        # doc: https://github.com/CrossRef/rest-api-doc
-        url = f"https://api.crossref.org/works/{doi}"
-        response = requests.get(url)
-        response.raise_for_status()
-        response = response.json()
-        message = response.get("message", {})
-
-        return self.create_json_message(message)
diff --git a/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml b/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml
deleted file mode 100644
index 9c16da25ed..0000000000
--- a/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: crossref_query_doi
-  author: Sakura4036
-  label:
-    en_US: CrossRef Query DOI
-    zh_Hans: CrossRef DOI 查询
-    pt_BR: CrossRef Query DOI
-description:
-  human:
-    en_US: A tool for searching literature information using CrossRef by DOI.
-    zh_Hans: 一个使用CrossRef通过DOI获取文献信息的工具。
-    pt_BR: A tool for searching literature information using CrossRef by DOI.
-  llm: A tool for searching literature information using CrossRef by DOI.
-parameters:
-  - name: doi
-    type: string
-    required: true
-    label:
-      en_US: DOI
-      zh_Hans: DOI
-      pt_BR: DOI
-    llm_description: DOI for searching in CrossRef
-    form: llm
diff --git a/api/core/tools/provider/builtin/crossref/tools/query_title.py b/api/core/tools/provider/builtin/crossref/tools/query_title.py
deleted file mode 100644
index e245238183..0000000000
--- a/api/core/tools/provider/builtin/crossref/tools/query_title.py
+++ /dev/null
@@ -1,143 +0,0 @@
-import time
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-def convert_time_str_to_seconds(time_str: str) -> int:
-    """
-    Convert a time string to seconds.
-    example: 1s -> 1,  1m30s -> 90, 1h30m -> 5400, 1h30m30s -> 5430
-    """
-    time_str = time_str.lower().strip().replace(" ", "")
-    seconds = 0
-    if "h" in time_str:
-        hours, time_str = time_str.split("h")
-        seconds += int(hours) * 3600
-    if "m" in time_str:
-        minutes, time_str = time_str.split("m")
-        seconds += int(minutes) * 60
-    if "s" in time_str:
-        seconds += int(time_str.replace("s", ""))
-    return seconds
-
-
-class CrossRefQueryTitleAPI:
-    """
-    Tool for querying the metadata of a publication using its title.
-    Crossref API doc: https://github.com/CrossRef/rest-api-doc
-    """
-
-    query_url_template: str = "https://api.crossref.org/works?query.bibliographic={query}&rows={rows}&offset={offset}&sort={sort}&order={order}&mailto={mailto}"
-    rate_limit: int = 50
-    rate_interval: float = 1
-    max_limit: int = 1000
-
-    def __init__(self, mailto: str):
-        self.mailto = mailto
-
-    def _query(
-        self,
-        query: str,
-        rows: int = 5,
-        offset: int = 0,
-        sort: str = "relevance",
-        order: str = "desc",
-        fuzzy_query: bool = False,
-    ) -> list[dict]:
-        """
-        Query the metadata of a publication using its title.
-        :param query: the title of the publication
-        :param rows: the number of results to return
-        :param sort: the sort field
-        :param order: the sort order
-        :param fuzzy_query: whether to return all items that match the query
-        """
-        url = self.query_url_template.format(
-            query=query, rows=rows, offset=offset, sort=sort, order=order, mailto=self.mailto
-        )
-        response = requests.get(url)
-        response.raise_for_status()
-        rate_limit = int(response.headers["x-ratelimit-limit"])
-        # convert time string to seconds
-        rate_interval = convert_time_str_to_seconds(response.headers["x-ratelimit-interval"])
-
-        self.rate_limit = rate_limit
-        self.rate_interval = rate_interval
-
-        response = response.json()
-        if response["status"] != "ok":
-            return []
-
-        message = response["message"]
-        if fuzzy_query:
-            # fuzzy query return all items
-            return message["items"]
-        else:
-            for paper in message["items"]:
-                title = paper["title"][0]
-                if title.lower() != query.lower():
-                    continue
-                return [paper]
-        return []
-
-    def query(
-        self, query: str, rows: int = 5, sort: str = "relevance", order: str = "desc", fuzzy_query: bool = False
-    ) -> list[dict]:
-        """
-        Query the metadata of a publication using its title.
-        :param query: the title of the publication
-        :param rows: the number of results to return
-        :param sort: the sort field
-        :param order: the sort order
-        :param fuzzy_query: whether to return all items that match the query
-        """
-        rows = min(rows, self.max_limit)
-        if rows > self.rate_limit:
-            # query multiple times
-            query_times = rows // self.rate_limit + 1
-            results = []
-
-            for i in range(query_times):
-                result = self._query(
-                    query,
-                    rows=self.rate_limit,
-                    offset=i * self.rate_limit,
-                    sort=sort,
-                    order=order,
-                    fuzzy_query=fuzzy_query,
-                )
-                if fuzzy_query:
-                    results.extend(result)
-                else:
-                    # fuzzy_query=False, only one result
-                    if result:
-                        return result
-                time.sleep(self.rate_interval)
-            return results
-        else:
-            # query once
-            return self._query(query, rows, sort=sort, order=order, fuzzy_query=fuzzy_query)
-
-
-class CrossRefQueryTitleTool(BuiltinTool):
-    """
-    Tool for querying the metadata of a publication using its title.
-    """
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        query = tool_parameters.get("query")
-        fuzzy_query = tool_parameters.get("fuzzy_query", False)
-        rows = tool_parameters.get("rows", 3)
-        sort = tool_parameters.get("sort", "relevance")
-        order = tool_parameters.get("order", "desc")
-        mailto = self.runtime.credentials["mailto"]
-
-        result = CrossRefQueryTitleAPI(mailto).query(query, rows, sort, order, fuzzy_query)
-
-        return [self.create_json_message(r) for r in result]
diff --git a/api/core/tools/provider/builtin/crossref/tools/query_title.yaml b/api/core/tools/provider/builtin/crossref/tools/query_title.yaml
deleted file mode 100644
index 5579c77f52..0000000000
--- a/api/core/tools/provider/builtin/crossref/tools/query_title.yaml
+++ /dev/null
@@ -1,105 +0,0 @@
-identity:
-  name: crossref_query_title
-  author: Sakura4036
-  label:
-    en_US: CrossRef Title Query
-    zh_Hans: CrossRef 标题查询
-    pt_BR: CrossRef Title Query
-description:
-  human:
-    en_US: A tool for querying literature information using CrossRef by title.
-    zh_Hans: 一个使用CrossRef通过标题搜索文献信息的工具。
-    pt_BR: A tool for querying literature information using CrossRef by title.
-  llm: A tool for querying literature information using CrossRef by title.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: 标题
-      zh_Hans: 查询语句
-      pt_BR: 标题
-    human_description:
-      en_US: Query bibliographic information, useful for citation look up. Includes titles, authors, ISSNs and publication years
-      zh_Hans: 用于搜索文献信息，有助于查找引用。包括标题，作者，ISSN和出版年份
-      pt_BR: Query bibliographic information, useful for citation look up. Includes titles, authors, ISSNs and publication years
-    llm_description: key words for querying in Web of Science
-    form: llm
-  - name: fuzzy_query
-    type: boolean
-    default: false
-    label:
-      en_US: Whether to fuzzy search
-      zh_Hans: 是否模糊搜索
-      pt_BR: Whether to fuzzy search
-    human_description:
-      en_US: used for selecting the query type, fuzzy query returns more results, precise query returns 1 or none
-      zh_Hans: 用于选择搜索类型，模糊搜索返回更多结果，精确搜索返回1条结果或无
-      pt_BR: used for selecting the query type, fuzzy query returns more results, precise query returns 1 or none
-    form: form
-  - name: limit
-    type: number
-    required: false
-    label:
-      en_US: max query number
-      zh_Hans: 最大搜索数
-      pt_BR: max query number
-    human_description:
-      en_US: max query number(fuzzy search returns the maximum number of results or precise search the maximum number of matches)
-      zh_Hans: 最大搜索数(模糊搜索返回的最大结果数或精确搜索最大匹配数)
-      pt_BR: max query number(fuzzy search returns the maximum number of results or precise search the maximum number of matches)
-    form: llm
-    default: 50
-  - name: sort
-    type: select
-    required: true
-    options:
-      - value: relevance
-        label:
-          en_US: relevance
-          zh_Hans: 相关性
-          pt_BR: relevance
-      - value: published
-        label:
-          en_US: publication date
-          zh_Hans: 出版日期
-          pt_BR: publication date
-      - value: references-count
-        label:
-          en_US: references-count
-          zh_Hans: 引用次数
-          pt_BR: references-count
-    default: relevance
-    label:
-      en_US: sorting field
-      zh_Hans: 排序字段
-      pt_BR: sorting field
-    human_description:
-      en_US: Sorting of query results
-      zh_Hans: 检索结果的排序字段
-      pt_BR: Sorting of query results
-    form: form
-  - name: order
-    type: select
-    required: true
-    options:
-      - value: desc
-        label:
-          en_US: descending
-          zh_Hans: 降序
-          pt_BR: descending
-      - value: asc
-        label:
-          en_US: ascending
-          zh_Hans: 升序
-          pt_BR: ascending
-    default: desc
-    label:
-      en_US: Order
-      zh_Hans: 排序
-      pt_BR: Order
-    human_description:
-      en_US: Order of query results
-      zh_Hans: 检索结果的排序方式
-      pt_BR: Order of query results
-    form: form
diff --git a/api/core/tools/provider/builtin/dalle/__init__.py b/api/core/tools/provider/builtin/dalle/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/dalle/_assets/icon.png b/api/core/tools/provider/builtin/dalle/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/dalle/dalle.py b/api/core/tools/provider/builtin/dalle/dalle.py
deleted file mode 100644
index 5bd16e49e8..0000000000
--- a/api/core/tools/provider/builtin/dalle/dalle.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.dalle.tools.dalle2 import DallE2Tool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DALLEProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            DallE2Tool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"prompt": "cute girl, blue eyes, white hair, anime style", "size": "small", "n": 1},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/dalle/dalle.yaml b/api/core/tools/provider/builtin/dalle/dalle.yaml
deleted file mode 100644
index 37cf93c28a..0000000000
--- a/api/core/tools/provider/builtin/dalle/dalle.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-identity:
-  author: Dify
-  name: dalle
-  label:
-    en_US: DALL-E
-    zh_Hans: DALL-E 绘画
-    pt_BR: DALL-E
-  description:
-    en_US: DALL-E art
-    zh_Hans: DALL-E 绘画
-    pt_BR: DALL-E art
-  icon: icon.png
-  tags:
-    - image
-    - productivity
-credentials_for_provider:
-  openai_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: OpenAI API key
-      zh_Hans: OpenAI API key
-      pt_BR: OpenAI API key
-    help:
-      en_US: Please input your OpenAI API key
-      zh_Hans: 请输入你的 OpenAI API key
-      pt_BR: Please input your OpenAI API key
-    placeholder:
-      en_US: Please input your OpenAI API key
-      zh_Hans: 请输入你的 OpenAI API key
-      pt_BR: Please input your OpenAI API key
-  openai_organization_id:
-    type: text-input
-    required: false
-    label:
-      en_US: OpenAI organization ID
-      zh_Hans: OpenAI organization ID
-      pt_BR: OpenAI organization ID
-    help:
-      en_US: Please input your OpenAI organization ID
-      zh_Hans: 请输入你的 OpenAI organization ID
-      pt_BR: Please input your OpenAI organization ID
-    placeholder:
-      en_US: Please input your OpenAI organization ID
-      zh_Hans: 请输入你的 OpenAI organization ID
-      pt_BR: Please input your OpenAI organization ID
-  openai_base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: OpenAI base URL
-      zh_Hans: OpenAI base URL
-      pt_BR: OpenAI base URL
-    help:
-      en_US: Please input your OpenAI base URL
-      zh_Hans: 请输入你的 OpenAI base URL
-      pt_BR: Please input your OpenAI base URL
-    placeholder:
-      en_US: Please input your OpenAI base URL
-      zh_Hans: 请输入你的 OpenAI base URL
-      pt_BR: Please input your OpenAI base URL
diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle2.py b/api/core/tools/provider/builtin/dalle/tools/dalle2.py
deleted file mode 100644
index fbd7397292..0000000000
--- a/api/core/tools/provider/builtin/dalle/tools/dalle2.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from base64 import b64decode
-from typing import Any, Union
-
-from openai import OpenAI
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DallE2Tool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        openai_organization = self.runtime.credentials.get("openai_organization_id", None)
-        if not openai_organization:
-            openai_organization = None
-        openai_base_url = self.runtime.credentials.get("openai_base_url", None)
-        if not openai_base_url:
-            openai_base_url = None
-        else:
-            openai_base_url = str(URL(openai_base_url) / "v1")
-
-        client = OpenAI(
-            api_key=self.runtime.credentials["openai_api_key"],
-            base_url=openai_base_url,
-            organization=openai_organization,
-        )
-
-        SIZE_MAPPING = {
-            "small": "256x256",
-            "medium": "512x512",
-            "large": "1024x1024",
-        }
-
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-
-        # get size
-        size = SIZE_MAPPING[tool_parameters.get("size", "large")]
-
-        # get n
-        n = tool_parameters.get("n", 1)
-
-        # call openapi dalle2
-        response = client.images.generate(prompt=prompt, model="dall-e-2", size=size, n=n, response_format="b64_json")
-
-        result = []
-
-        for image in response.data:
-            result.append(
-                self.create_blob_message(
-                    blob=b64decode(image.b64_json),
-                    meta={"mime_type": "image/png"},
-                    save_as=self.VariableKey.IMAGE.value,
-                )
-            )
-
-        return result
diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml
deleted file mode 100644
index e43e5df8cd..0000000000
--- a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-identity:
-  name: dalle2
-  author: Dify
-  label:
-    en_US: DALL-E 2
-    zh_Hans: DALL-E 2 绘画
-  description:
-    en_US: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt
-    zh_Hans: DALL-E 2 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像
-    pt_BR: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt
-description:
-  human:
-    en_US: DALL-E is a text to image tool
-    zh_Hans: DALL-E 是一个文本到图像的工具
-    pt_BR: DALL-E is a text to image tool
-  llm: DALL-E is a tool used to generate images from text
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of DallE 2
-      zh_Hans: 图像提示词，您可以查看 DallE 2 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of DallE 2
-    llm_description: Image prompt of DallE 2, you should describe the image you want to generate as a list of words as possible as detailed
-    form: llm
-  - name: size
-    type: select
-    required: true
-    human_description:
-      en_US: used for selecting the image size
-      zh_Hans: 用于选择图像大小
-      pt_BR: used for selecting the image size
-    label:
-      en_US: Image size
-      zh_Hans: 图像大小
-      pt_BR: Image size
-    form: form
-    options:
-      - value: small
-        label:
-          en_US: Small(256x256)
-          zh_Hans: 小(256x256)
-          pt_BR: Small(256x256)
-      - value: medium
-        label:
-          en_US: Medium(512x512)
-          zh_Hans: 中(512x512)
-          pt_BR: Medium(512x512)
-      - value: large
-        label:
-          en_US: Large(1024x1024)
-          zh_Hans: 大(1024x1024)
-          pt_BR: Large(1024x1024)
-    default: large
-  - name: n
-    type: number
-    required: true
-    human_description:
-      en_US: used for selecting the number of images
-      zh_Hans: 用于选择图像数量
-      pt_BR: used for selecting the number of images
-    label:
-      en_US: Number of images
-      zh_Hans: 图像数量
-      pt_BR: Number of images
-    form: form
-    default: 1
-    min: 1
-    max: 10
diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.py b/api/core/tools/provider/builtin/dalle/tools/dalle3.py
deleted file mode 100644
index af9aa6abb4..0000000000
--- a/api/core/tools/provider/builtin/dalle/tools/dalle3.py
+++ /dev/null
@@ -1,115 +0,0 @@
-import base64
-import random
-from typing import Any, Union
-
-from openai import OpenAI
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DallE3Tool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        openai_organization = self.runtime.credentials.get("openai_organization_id", None)
-        if not openai_organization:
-            openai_organization = None
-        openai_base_url = self.runtime.credentials.get("openai_base_url", None)
-        if not openai_base_url:
-            openai_base_url = None
-        else:
-            openai_base_url = str(URL(openai_base_url) / "v1")
-
-        client = OpenAI(
-            api_key=self.runtime.credentials["openai_api_key"],
-            base_url=openai_base_url,
-            organization=openai_organization,
-        )
-
-        SIZE_MAPPING = {
-            "square": "1024x1024",
-            "vertical": "1024x1792",
-            "horizontal": "1792x1024",
-        }
-
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-        # get size
-        size = SIZE_MAPPING[tool_parameters.get("size", "square")]
-        # get n
-        n = tool_parameters.get("n", 1)
-        # get quality
-        quality = tool_parameters.get("quality", "standard")
-        if quality not in {"standard", "hd"}:
-            return self.create_text_message("Invalid quality")
-        # get style
-        style = tool_parameters.get("style", "vivid")
-        if style not in {"natural", "vivid"}:
-            return self.create_text_message("Invalid style")
-
-        # call openapi dalle3
-        response = client.images.generate(
-            prompt=prompt, model="dall-e-3", size=size, n=n, style=style, quality=quality, response_format="b64_json"
-        )
-
-        result = []
-
-        for image in response.data:
-            mime_type, blob_image = DallE3Tool._decode_image(image.b64_json)
-            blob_message = self.create_blob_message(
-                blob=blob_image, meta={"mime_type": mime_type}, save_as=self.VariableKey.IMAGE
-            )
-            result.append(blob_message)
-        return result
-
-    @staticmethod
-    def _decode_image(base64_image: str) -> tuple[str, bytes]:
-        """
-        Decode a base64 encoded image. If the image is not prefixed with a MIME type,
-        it assumes 'image/png' as the default.
-
-        :param base64_image: Base64 encoded image string
-        :return: A tuple containing the MIME type and the decoded image bytes
-        """
-        if DallE3Tool._is_plain_base64(base64_image):
-            return "image/png", base64.b64decode(base64_image)
-        else:
-            return DallE3Tool._extract_mime_and_data(base64_image)
-
-    @staticmethod
-    def _is_plain_base64(encoded_str: str) -> bool:
-        """
-        Check if the given encoded string is plain base64 without a MIME type prefix.
-
-        :param encoded_str: Base64 encoded image string
-        :return: True if the string is plain base64, False otherwise
-        """
-        return not encoded_str.startswith("data:image")
-
-    @staticmethod
-    def _extract_mime_and_data(encoded_str: str) -> tuple[str, bytes]:
-        """
-        Extract MIME type and image data from a base64 encoded string with a MIME type prefix.
-
-        :param encoded_str: Base64 encoded image string with MIME type prefix
-        :return: A tuple containing the MIME type and the decoded image bytes
-        """
-        mime_type = encoded_str.split(";")[0].split(":")[1]
-        image_data_base64 = encoded_str.split(",")[1]
-        decoded_data = base64.b64decode(image_data_base64)
-        return mime_type, decoded_data
-
-    @staticmethod
-    def _generate_random_id(length=8):
-        characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
-        random_id = "".join(random.choices(characters, k=length))
-        return random_id
diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml
deleted file mode 100644
index 0cea8af761..0000000000
--- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml
+++ /dev/null
@@ -1,123 +0,0 @@
-identity:
-  name: dalle3
-  author: Dify
-  label:
-    en_US: DALL-E 3
-    zh_Hans: DALL-E 3 绘画
-    pt_BR: DALL-E 3
-  description:
-    en_US: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources
-    zh_Hans: DALL-E 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像，相比于DallE 2， DallE 3拥有更强的绘画能力，但会消耗更多的资源
-    pt_BR: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources
-description:
-  human:
-    en_US: DALL-E is a text to image tool
-    zh_Hans: DALL-E 是一个文本到图像的工具
-    pt_BR: DALL-E is a text to image tool
-  llm: DALL-E is a tool used to generate images from text
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of DallE 3
-      zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of DallE 3
-    llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed
-    form: llm
-  - name: size
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image size
-      zh_Hans: 选择图像大小
-      pt_BR: selecting the image size
-    label:
-      en_US: Image size
-      zh_Hans: 图像大小
-      pt_BR: Image size
-    form: form
-    options:
-      - value: square
-        label:
-          en_US: Squre(1024x1024)
-          zh_Hans: 方(1024x1024)
-          pt_BR: Squre(1024x1024)
-      - value: vertical
-        label:
-          en_US: Vertical(1024x1792)
-          zh_Hans: 竖屏(1024x1792)
-          pt_BR: Vertical(1024x1792)
-      - value: horizontal
-        label:
-          en_US: Horizontal(1792x1024)
-          zh_Hans: 横屏(1792x1024)
-          pt_BR: Horizontal(1792x1024)
-    default: square
-  - name: n
-    type: number
-    required: true
-    human_description:
-      en_US: selecting the number of images
-      zh_Hans: 选择图像数量
-      pt_BR: selecting the number of images
-    label:
-      en_US: Number of images
-      zh_Hans: 图像数量
-      pt_BR: Number of images
-    form: form
-    min: 1
-    max: 1
-    default: 1
-  - name: quality
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image quality
-      zh_Hans: 选择图像质量
-      pt_BR: selecting the image quality
-    label:
-      en_US: Image quality
-      zh_Hans: 图像质量
-      pt_BR: Image quality
-    form: form
-    options:
-      - value: standard
-        label:
-          en_US: Standard
-          zh_Hans: 标准
-          pt_BR: Standard
-      - value: hd
-        label:
-          en_US: HD
-          zh_Hans: 高清
-          pt_BR: HD
-    default: standard
-  - name: style
-    type: select
-    required: true
-    human_description:
-      en_US: selecting the image style
-      zh_Hans: 选择图像风格
-      pt_BR: selecting the image style
-    label:
-      en_US: Image style
-      zh_Hans: 图像风格
-      pt_BR: Image style
-    form: form
-    options:
-      - value: vivid
-        label:
-          en_US: Vivid
-          zh_Hans: 生动
-          pt_BR: Vivid
-      - value: natural
-        label:
-          en_US: Natural
-          zh_Hans: 自然
-          pt_BR: Natural
-    default: vivid
diff --git a/api/core/tools/provider/builtin/devdocs/_assets/icon.svg b/api/core/tools/provider/builtin/devdocs/_assets/icon.svg
deleted file mode 100644
index c7a19fabfb..0000000000
--- a/api/core/tools/provider/builtin/devdocs/_assets/icon.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M15.6111 1.5837C17.2678 1.34703 18.75 2.63255 18.75 4.30606V5.68256C19.9395 6.31131 20.75 7.56102 20.75 9.00004V19C20.75 21.0711 19.0711 22.75 17 22.75H7C4.92893 22.75 3.25 21.0711 3.25 19V5.00004C3.25 4.99074 3.25017 4.98148 3.2505 4.97227C3.25017 4.95788 3.25 4.94344 3.25 4.92897C3.25 4.02272 3.91638 3.25437 4.81353 3.12621L15.6111 1.5837ZM4.75 6.75004V19C4.75 20.2427 5.75736 21.25 7 21.25H17C18.2426 21.25 19.25 20.2427 19.25 19V9.00004C19.25 7.7574 18.2426 6.75004 17 6.75004H4.75ZM5.07107 5.25004H17.25V4.30606C17.25 3.54537 16.5763 2.96104 15.8232 3.06862L5.02566 4.61113C4.86749 4.63373 4.75 4.76919 4.75 4.92897C4.75 5.10629 4.89375 5.25004 5.07107 5.25004ZM7.25 12C7.25 11.5858 7.58579 11.25 8 11.25H16C16.4142 11.25 16.75 11.5858 16.75 12C16.75 12.4143 16.4142 12.75 16 12.75H8C7.58579 12.75 7.25 12.4143 7.25 12ZM7.25 15.5C7.25 15.0858 7.58579 14.75 8 14.75H13.5C13.9142 14.75 14.25 15.0858 14.25 15.5C14.25 15.9143 13.9142 16.25 13.5 16.25H8C7.58579 16.25 7.25 15.9143 7.25 15.5Z" fill="#1C274D"/>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/devdocs/devdocs.py b/api/core/tools/provider/builtin/devdocs/devdocs.py
deleted file mode 100644
index 446c1e5489..0000000000
--- a/api/core/tools/provider/builtin/devdocs/devdocs.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.devdocs.tools.searchDevDocs import SearchDevDocsTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DevDocsProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            SearchDevDocsTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "doc": "python~3.12",
-                    "topic": "library/code",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/devdocs/devdocs.yaml b/api/core/tools/provider/builtin/devdocs/devdocs.yaml
deleted file mode 100644
index 7552f5a497..0000000000
--- a/api/core/tools/provider/builtin/devdocs/devdocs.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-identity:
-  author: Richards Tu
-  name: devdocs
-  label:
-    en_US: DevDocs
-    zh_Hans: DevDocs
-  description:
-    en_US: Get official developer documentations on DevDocs.
-    zh_Hans: 从DevDocs获取官方开发者文档。
-  icon: icon.svg
-  tags:
-    - search
-    - productivity
diff --git a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py b/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py
deleted file mode 100644
index 57cf6d7a30..0000000000
--- a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Any, Union
-
-import requests
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SearchDevDocsInput(BaseModel):
-    doc: str = Field(..., description="The name of the documentation.")
-    topic: str = Field(..., description="The path of the section/topic.")
-
-
-class SearchDevDocsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invokes the DevDocs search tool with the given user ID and tool parameters.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool, including 'doc' and 'topic'.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation,
-             which can be a single message or a list of messages.
-        """
-        doc = tool_parameters.get("doc", "")
-        topic = tool_parameters.get("topic", "")
-
-        if not doc:
-            return self.create_text_message("Please provide the documentation name.")
-        if not topic:
-            return self.create_text_message("Please provide the topic path.")
-
-        url = f"https://documents.devdocs.io/{doc}/{topic}.html"
-        response = requests.get(url)
-
-        if response.status_code == 200:
-            content = response.text
-            return self.create_text_message(self.summary(user_id=user_id, content=content))
-        else:
-            return self.create_text_message(
-                f"Failed to retrieve the documentation. Status code: {response.status_code}"
-            )
diff --git a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml b/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml
deleted file mode 100644
index 2476db9da4..0000000000
--- a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-identity:
-  name: searchDevDocs
-  author: Richards Tu
-  label:
-    en_US: Search Developer Docs
-    zh_Hans: 搜索开发者文档
-description:
-  human:
-    en_US: A tools for searching for a specific topic and path in DevDocs based on the provided documentation name and topic. Don't for get to add some shots in the system prompt; for example, the documentation name should be like \"vuex~4\", \"css\", or \"python~3.12\", while the topic should be like \"guide/actions\" for Vuex 4, \"display-box\" for CSS, or \"library/code\" for Python 3.12.
-    zh_Hans: 一个用于根据提供的文档名称和主题，在DevDocs中搜索特定主题和路径的工具。不要忘记在系统提示词中添加一些示例；例如，文档名称应该是\"vuex~4\"、\"css\"或\"python~3.12\"，而主题应该是\"guide/actions\"用于Vuex 4，\"display-box\"用于CSS，或\"library/code\"用于Python 3.12。
-  llm: A tools for searching for specific developer documentation in DevDocs based on the provided documentation name and topic.
-parameters:
-  - name: doc
-    type: string
-    required: true
-    label:
-      en_US: Documentation name
-      zh_Hans: 文档名称
-    human_description:
-      en_US: The name of the documentation.
-      zh_Hans: 文档名称。
-    llm_description: The name of the documentation, such as \"vuex~4\", \"css\", or \"python~3.12\". The exact value should be identified by the user.
-    form: llm
-  - name: topic
-    type: string
-    required: true
-    label:
-      en_US: Topic name
-      zh_Hans: 主题名称
-    human_description:
-      en_US: The path of the section/topic.
-      zh_Hans: 文档主题的路径。
-    llm_description: The path of the section/topic, such as \"guide/actions\" for Vuex 4, \"display-box\" for CSS, or \"library/code\" for Python 3.12.
-    form: llm
diff --git a/api/core/tools/provider/builtin/did/_assets/icon.svg b/api/core/tools/provider/builtin/did/_assets/icon.svg
deleted file mode 100644
index c477d7cb71..0000000000
--- a/api/core/tools/provider/builtin/did/_assets/icon.svg
+++ /dev/null
@@ -1,14 +0,0 @@
-<svg viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg">
-  <rect x="0" y="0" width="40" height="40" style="fill: #0d0a08;"></rect>
-  <g clip-path="url(#clip0_269_13)" transform="matrix(0.429227, 0, 0, 0.429227, 6.326543, 9.593137)" style="background-color: f4f3f2">
-    <path d="M6.05159 7.04111H0.5V44.0227H6.05159C13.5 44.0227 16.6023 42.1692 16.6023 34.1718V16.8831C16.6023 8.791 13.503 7.03223 6.05159 7.03223V7.03815V7.04111ZM11.9755 34.1718C11.9755 38.7019 10.5898 39.3948 6.09591 39.3948H5.12091V11.6601H6.09591C10.5839 11.6601 11.9755 12.353 11.9755 16.8831V34.1718Z" fill="white"></path>
-    <path d="M18.9834 26.2188V29.9169H25.9207V26.2188H18.9834Z" fill="white"></path>
-    <path d="M28.562 13.9783V44.0225H33.1888V13.9783H28.562Z" fill="white"></path>
-    <path d="M41.3822 7.04111H35.8306V44.0227H41.3822C48.8306 44.0227 51.9358 42.1692 51.9358 34.1718V16.8831C51.9358 8.791 48.8365 7.03223 41.3822 7.03223V7.03815V7.04111ZM47.306 34.1718C47.306 38.7019 45.9203 39.3948 41.4265 39.3948H40.4515V11.6601H41.4265C45.9144 11.6601 47.306 12.353 47.306 16.8831V34.1718Z" fill="white"></path>
-    <path d="M30.8758 11.2278C32.2775 11.2278 33.4138 10.0917 33.4138 8.69032C33.4138 7.2889 32.2775 6.15283 30.8758 6.15283C29.4742 6.15283 28.3379 7.2889 28.3379 8.69032C28.3379 10.0917 29.4742 11.2278 30.8758 11.2278Z" fill="#FF882E"></path>
-    <path d="M36.191 4.02677C36.9621 4.02677 37.5885 3.40202 37.5885 2.62923C37.5885 1.85644 36.9621 1.23169 36.191 1.23169C35.4198 1.23169 34.7935 1.85644 34.7935 2.62923C34.7935 3.40202 35.4198 4.02677 36.191 4.02677Z" fill="#FF882E"></path>
-    <path d="M42.1978 2.09631C42.7769 2.09631 43.2467 1.62553 43.2467 1.04816C43.2467 0.470782 42.7769 0 42.1978 0C41.6187 0 41.1489 0.470782 41.1489 1.04816C41.1489 1.62553 41.6187 2.09631 42.1978 2.09631Z" fill="#FF882E"></path>
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-  </g>
-</svg>
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diff --git a/api/core/tools/provider/builtin/did/did.py b/api/core/tools/provider/builtin/did/did.py
deleted file mode 100644
index 5af78794f6..0000000000
--- a/api/core/tools/provider/builtin/did/did.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.did.tools.talks import TalksTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DIDProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            # Example validation using the D-ID talks tool
-            TalksTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke(
-                user_id="",
-                tool_parameters={
-                    "source_url": "https://www.d-id.com/wp-content/uploads/2023/11/Hero-image-1.png",
-                    "text_input": "Hello, welcome to use D-ID tool in Dify",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/did/did.yaml b/api/core/tools/provider/builtin/did/did.yaml
deleted file mode 100644
index a70b71812e..0000000000
--- a/api/core/tools/provider/builtin/did/did.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-identity:
-  author: Matri Qi
-  name: did
-  label:
-    en_US: D-ID
-  description:
-    en_US: D-ID is a tool enabling the creation of high-quality, custom videos of Digital Humans from a single image.
-  icon: icon.svg
-  tags:
-    - videos
-credentials_for_provider:
-  did_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: D-ID API Key
-    placeholder:
-      en_US: Please input your D-ID API key
-    help:
-      en_US: Get your D-ID API key from your D-ID account settings.
-    url: https://studio.d-id.com/account-settings
-  base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: D-ID server's Base URL
-    placeholder:
-      en_US: https://api.d-id.com
diff --git a/api/core/tools/provider/builtin/did/did_appx.py b/api/core/tools/provider/builtin/did/did_appx.py
deleted file mode 100644
index dca62f9e19..0000000000
--- a/api/core/tools/provider/builtin/did/did_appx.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import logging
-import time
-from collections.abc import Mapping
-from typing import Any
-
-import requests
-from requests.exceptions import HTTPError
-
-logger = logging.getLogger(__name__)
-
-
-class DIDApp:
-    def __init__(self, api_key: str | None = None, base_url: str | None = None):
-        self.api_key = api_key
-        self.base_url = base_url or "https://api.d-id.com"
-        if not self.api_key:
-            raise ValueError("API key is required")
-
-    def _prepare_headers(self, idempotency_key: str | None = None):
-        headers = {"Content-Type": "application/json", "Authorization": f"Basic {self.api_key}"}
-        if idempotency_key:
-            headers["Idempotency-Key"] = idempotency_key
-        return headers
-
-    def _request(
-        self,
-        method: str,
-        url: str,
-        data: Mapping[str, Any] | None = None,
-        headers: Mapping[str, str] | None = None,
-        retries: int = 3,
-        backoff_factor: float = 0.3,
-    ) -> Mapping[str, Any] | None:
-        for i in range(retries):
-            try:
-                response = requests.request(method, url, json=data, headers=headers)
-                response.raise_for_status()
-                return response.json()
-            except requests.exceptions.RequestException as e:
-                if i < retries - 1 and isinstance(e, HTTPError) and e.response.status_code >= 500:
-                    time.sleep(backoff_factor * (2**i))
-                else:
-                    raise
-        return None
-
-    def talks(self, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs):
-        endpoint = f"{self.base_url}/talks"
-        headers = self._prepare_headers(idempotency_key)
-        data = kwargs["params"]
-        logger.debug(f"Send request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data, headers)
-        if response is None:
-            raise HTTPError("Failed to initiate D-ID talks after multiple retries")
-        id: str = response["id"]
-        if wait:
-            return self._monitor_job_status(id=id, target="talks", poll_interval=poll_interval)
-        return id
-
-    def animations(self, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs):
-        endpoint = f"{self.base_url}/animations"
-        headers = self._prepare_headers(idempotency_key)
-        data = kwargs["params"]
-        logger.debug(f"Send request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data, headers)
-        if response is None:
-            raise HTTPError("Failed to initiate D-ID talks after multiple retries")
-        id: str = response["id"]
-        if wait:
-            return self._monitor_job_status(target="animations", id=id, poll_interval=poll_interval)
-        return id
-
-    def check_did_status(self, target: str, id: str):
-        endpoint = f"{self.base_url}/{target}/{id}"
-        headers = self._prepare_headers()
-        response = self._request("GET", endpoint, headers=headers)
-        if response is None:
-            raise HTTPError(f"Failed to check status for talks {id} after multiple retries")
-        return response
-
-    def _monitor_job_status(self, target: str, id: str, poll_interval: int):
-        while True:
-            status = self.check_did_status(target=target, id=id)
-            if status["status"] == "done":
-                return status
-            elif status["status"] == "error" or status["status"] == "rejected":
-                raise HTTPError(f"Talks {id} failed: {status['status']} {status.get('error', {}).get('description')}")
-            time.sleep(poll_interval)
diff --git a/api/core/tools/provider/builtin/did/tools/animations.py b/api/core/tools/provider/builtin/did/tools/animations.py
deleted file mode 100644
index bc9d17e40d..0000000000
--- a/api/core/tools/provider/builtin/did/tools/animations.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import json
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.did.did_appx import DIDApp
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AnimationsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        app = DIDApp(api_key=self.runtime.credentials["did_api_key"], base_url=self.runtime.credentials["base_url"])
-
-        driver_expressions_str = tool_parameters.get("driver_expressions")
-        driver_expressions = json.loads(driver_expressions_str) if driver_expressions_str else None
-
-        config = {
-            "stitch": tool_parameters.get("stitch", True),
-            "mute": tool_parameters.get("mute"),
-            "result_format": tool_parameters.get("result_format") or "mp4",
-        }
-        config = {k: v for k, v in config.items() if v is not None and v != ""}
-
-        options = {
-            "source_url": tool_parameters["source_url"],
-            "driver_url": tool_parameters.get("driver_url"),
-            "config": config,
-        }
-        options = {k: v for k, v in options.items() if v is not None and v != ""}
-
-        if not options.get("source_url"):
-            raise ValueError("Source URL is required")
-
-        if config.get("logo_url"):
-            if not config.get("logo_x"):
-                raise ValueError("Logo X position is required when logo URL is provided")
-            if not config.get("logo_y"):
-                raise ValueError("Logo Y position is required when logo URL is provided")
-
-        animations_result = app.animations(params=options, wait=True)
-
-        if not isinstance(animations_result, str):
-            animations_result = json.dumps(animations_result, ensure_ascii=False, indent=4)
-
-        if not animations_result:
-            return self.create_text_message("D-ID animations request failed.")
-
-        return self.create_text_message(animations_result)
diff --git a/api/core/tools/provider/builtin/did/tools/animations.yaml b/api/core/tools/provider/builtin/did/tools/animations.yaml
deleted file mode 100644
index 2a2036c7b2..0000000000
--- a/api/core/tools/provider/builtin/did/tools/animations.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-identity:
-  name: animations
-  author: Matri Qi
-  label:
-    en_US: Animations
-description:
-  human:
-    en_US: Animations enables to create videos matching head movements, expressions, emotions, and voice from a driver video and image.
-  llm: Animations enables to create videos matching head movements, expressions, emotions, and voice from a driver video and image.
-parameters:
-  - name: source_url
-    type: string
-    required: true
-    label:
-      en_US: source url
-    human_description:
-      en_US: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors.
-    llm_description: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors.
-    form: llm
-  - name: driver_url
-    type: string
-    required: false
-    label:
-      en_US: driver url
-    human_description:
-      en_US: The URL of the driver video to drive the animation, or a provided driver name from D-ID.
-    form: form
-  - name: mute
-    type: boolean
-    required: false
-    label:
-      en_US: mute
-    human_description:
-      en_US: Mutes the driver sound in the animated video result, defaults to true
-    form: form
-  - name: stitch
-    type: boolean
-    required: false
-    label:
-      en_US: stitch
-    human_description:
-      en_US: If enabled, the driver video will be stitched with the animationing head video.
-    form: form
-  - name: logo_url
-    type: string
-    required: false
-    label:
-      en_US: logo url
-    human_description:
-      en_US: The URL of the logo image to be added to the animation video.
-    form: form
-  - name: logo_x
-    type: number
-    required: false
-    label:
-      en_US: logo position x
-    human_description:
-      en_US: The x position of the logo image in the animation video. It's required when logo url is provided.
-    form: form
-  - name: logo_y
-    type: number
-    required: false
-    label:
-      en_US: logo position y
-    human_description:
-      en_US: The y position of the logo image in the animation video. It's required when logo url is provided.
-    form: form
-  - name: result_format
-    type: string
-    default: mp4
-    required: false
-    label:
-      en_US: result format
-    human_description:
-      en_US: The format of the result video.
-    form: form
-    options:
-      - value: mp4
-        label:
-          en_US: mp4
-      - value: gif
-        label:
-          en_US: gif
-      - value: mov
-        label:
-          en_US: mov
diff --git a/api/core/tools/provider/builtin/did/tools/talks.py b/api/core/tools/provider/builtin/did/tools/talks.py
deleted file mode 100644
index d6f0c7ff17..0000000000
--- a/api/core/tools/provider/builtin/did/tools/talks.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import json
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.did.did_appx import DIDApp
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class TalksTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        app = DIDApp(api_key=self.runtime.credentials["did_api_key"], base_url=self.runtime.credentials["base_url"])
-
-        driver_expressions_str = tool_parameters.get("driver_expressions")
-        driver_expressions = json.loads(driver_expressions_str) if driver_expressions_str else None
-
-        script = {
-            "type": tool_parameters.get("script_type") or "text",
-            "input": tool_parameters.get("text_input"),
-            "audio_url": tool_parameters.get("audio_url"),
-            "reduce_noise": tool_parameters.get("audio_reduce_noise", False),
-        }
-        script = {k: v for k, v in script.items() if v is not None and v != ""}
-        config = {
-            "stitch": tool_parameters.get("stitch", True),
-            "sharpen": tool_parameters.get("sharpen"),
-            "fluent": tool_parameters.get("fluent"),
-            "result_format": tool_parameters.get("result_format") or "mp4",
-            "pad_audio": tool_parameters.get("pad_audio"),
-            "driver_expressions": driver_expressions,
-        }
-        config = {k: v for k, v in config.items() if v is not None and v != ""}
-
-        options = {
-            "source_url": tool_parameters["source_url"],
-            "driver_url": tool_parameters.get("driver_url"),
-            "script": script,
-            "config": config,
-        }
-        options = {k: v for k, v in options.items() if v is not None and v != ""}
-
-        if not options.get("source_url"):
-            raise ValueError("Source URL is required")
-
-        if script.get("type") == "audio":
-            script.pop("input", None)
-            if not script.get("audio_url"):
-                raise ValueError("Audio URL is required for audio script type")
-
-        if script.get("type") == "text":
-            script.pop("audio_url", None)
-            script.pop("reduce_noise", None)
-            if not script.get("input"):
-                raise ValueError("Text input is required for text script type")
-
-        talks_result = app.talks(params=options, wait=True)
-
-        if not isinstance(talks_result, str):
-            talks_result = json.dumps(talks_result, ensure_ascii=False, indent=4)
-
-        if not talks_result:
-            return self.create_text_message("D-ID talks request failed.")
-
-        return self.create_text_message(talks_result)
diff --git a/api/core/tools/provider/builtin/did/tools/talks.yaml b/api/core/tools/provider/builtin/did/tools/talks.yaml
deleted file mode 100644
index 88d4305129..0000000000
--- a/api/core/tools/provider/builtin/did/tools/talks.yaml
+++ /dev/null
@@ -1,126 +0,0 @@
-identity:
-  name: talks
-  author: Matri Qi
-  label:
-    en_US: Talks
-description:
-  human:
-    en_US: Talks enables the creation of realistic talking head videos from text or audio inputs.
-  llm: Talks enables the creation of realistic talking head videos from text or audio inputs.
-parameters:
-  - name: source_url
-    type: string
-    required: true
-    label:
-      en_US: source url
-    human_description:
-      en_US: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors.
-    llm_description: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors.
-    form: llm
-  - name: driver_url
-    type: string
-    required: false
-    label:
-      en_US: driver url
-    human_description:
-      en_US: The URL of the driver video to drive the talk, or a provided driver name from D-ID.
-    form: form
-  - name: script_type
-    type: string
-    required: false
-    label:
-      en_US: script type
-    human_description:
-      en_US: The type of the script.
-    form: form
-    options:
-      - value: text
-        label:
-          en_US: text
-      - value: audio
-        label:
-          en_US: audio
-  - name: text_input
-    type: string
-    required: false
-    label:
-      en_US: text input
-    human_description:
-      en_US: The text input to be spoken by the talking head. Required when script type is text.
-    form: form
-  - name: audio_url
-    type: string
-    required: false
-    label:
-      en_US: audio url
-    human_description:
-      en_US: The URL of the audio file to be spoken by the talking head. Required when script type is audio.
-    form: form
-  - name: audio_reduce_noise
-    type: boolean
-    required: false
-    label:
-      en_US: audio reduce noise
-    human_description:
-      en_US: If enabled, the audio will be processed to reduce noise before being spoken by the talking head. It only works when script type is audio.
-    form: form
-  - name: stitch
-    type: boolean
-    required: false
-    label:
-      en_US: stitch
-    human_description:
-      en_US: If enabled, the driver video will be stitched with the talking head video.
-    form: form
-  - name: sharpen
-    type: boolean
-    required: false
-    label:
-      en_US: sharpen
-    human_description:
-      en_US: If enabled, the talking head video will be sharpened.
-    form: form
-  - name: result_format
-    type: string
-    required: false
-    label:
-      en_US: result format
-    human_description:
-      en_US: The format of the result video.
-    form: form
-    options:
-      - value: mp4
-        label:
-          en_US: mp4
-      - value: gif
-        label:
-          en_US: gif
-      - value: mov
-        label:
-          en_US: mov
-  - name: fluent
-    type: boolean
-    required: false
-    label:
-      en_US: fluent
-    human_description:
-      en_US: Interpolate between the last & first frames of the driver video When used together with pad_audio can create a seamless transition between videos of the same driver
-    form: form
-  - name: pad_audio
-    type: number
-    required: false
-    label:
-      en_US: pad audio
-    human_description:
-      en_US: Pad the audio with silence at the end (given in seconds) Will increase the video duration & the credits it consumes
-    form: form
-    min: 1
-    max: 60
-  - name: driver_expressions
-    type: string
-    required: false
-    label:
-      en_US: driver expressions
-    human_description:
-      en_US: timed expressions for animation. It should be an JSON array style string. Take D-ID documentation(https://docs.d-id.com/reference/createtalk) for more information.
-    form: form
diff --git a/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg b/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg
deleted file mode 100644
index b60653b7a5..0000000000
--- a/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-
<!-- Uploaded to: SVG Repo, www.svgrepo.com, Transformed by: SVG Repo Mixer Tools -->
-<svg fill="#4aa4f8" width="800px" height="800px" viewBox="0 0 1024 1024" xmlns="http://www.w3.org/2000/svg" class="icon" stroke="#4aa4f8">
-
<g id="SVGRepo_bgCarrier" stroke-width="0"/>
-
<g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"/>
-
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-
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diff --git a/api/core/tools/provider/builtin/dingtalk/dingtalk.py b/api/core/tools/provider/builtin/dingtalk/dingtalk.py
deleted file mode 100644
index be1d5e099c..0000000000
--- a/api/core/tools/provider/builtin/dingtalk/dingtalk.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from core.tools.provider.builtin.dingtalk.tools.dingtalk_group_bot import DingTalkGroupBotTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DingTalkProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        DingTalkGroupBotTool()
-        pass
diff --git a/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml b/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml
deleted file mode 100644
index c922c140a8..0000000000
--- a/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-identity:
-  author: Bowen Liang
-  name: dingtalk
-  label:
-    en_US: DingTalk
-    zh_Hans: 钉钉
-    pt_BR: DingTalk
-  description:
-    en_US: DingTalk group robot
-    zh_Hans: 钉钉群机器人
-    pt_BR: DingTalk group robot
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py b/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py
deleted file mode 100644
index f33ad5be59..0000000000
--- a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py
+++ /dev/null
@@ -1,89 +0,0 @@
-import base64
-import hashlib
-import hmac
-import logging
-import time
-import urllib.parse
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DingTalkGroupBotTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        Dingtalk custom group robot API docs:
-        https://open.dingtalk.com/document/orgapp/custom-robot-access
-        """
-        content = tool_parameters.get("content")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        access_token = tool_parameters.get("access_token")
-        if not access_token:
-            return self.create_text_message(
-                "Invalid parameter access_token. "
-                "Regarding information about security details,"
-                "please refer to the DingTalk docs:"
-                "https://open.dingtalk.com/document/robots/customize-robot-security-settings"
-            )
-
-        sign_secret = tool_parameters.get("sign_secret")
-        if not sign_secret:
-            return self.create_text_message(
-                "Invalid parameter sign_secret. "
-                "Regarding information about security details,"
-                "please refer to the DingTalk docs:"
-                "https://open.dingtalk.com/document/robots/customize-robot-security-settings"
-            )
-
-        msgtype = "text"
-        api_url = "https://oapi.dingtalk.com/robot/send"
-        headers = {
-            "Content-Type": "application/json",
-        }
-        params = {
-            "access_token": access_token,
-        }
-
-        self._apply_security_mechanism(params, sign_secret)
-
-        payload = {
-            "msgtype": msgtype,
-            "text": {
-                "content": content,
-            },
-        }
-
-        try:
-            res = httpx.post(api_url, headers=headers, params=params, json=payload)
-            if res.is_success:
-                return self.create_text_message("Text message sent successfully")
-            else:
-                return self.create_text_message(
-                    f"Failed to send the text message, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to send message to group chat bot. {}".format(e))
-
-    @staticmethod
-    def _apply_security_mechanism(params: dict[str, Any], sign_secret: str):
-        try:
-            timestamp = str(round(time.time() * 1000))
-            secret_enc = sign_secret.encode("utf-8")
-            string_to_sign = f"{timestamp}\n{sign_secret}"
-            string_to_sign_enc = string_to_sign.encode("utf-8")
-            hmac_code = hmac.new(secret_enc, string_to_sign_enc, digestmod=hashlib.sha256).digest()
-            sign = urllib.parse.quote_plus(base64.b64encode(hmac_code))
-
-            params["timestamp"] = timestamp
-            params["sign"] = sign
-        except Exception:
-            msg = "Failed to apply security mechanism to the request."
-            logging.exception(msg)
diff --git a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml b/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml
deleted file mode 100644
index dc8a90b719..0000000000
--- a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-identity:
-  name: dingtalk_group_bot
-  author: Bowen Liang
-  label:
-    en_US: Send Group Message
-    zh_Hans: 发送群消息
-    pt_BR: Send Group Message
-  icon: icon.svg
-description:
-  human:
-    en_US: Sending a group message on DingTalk via the webhook of group bot
-    zh_Hans: 通过钉钉的群机器人webhook发送群消息
-    pt_BR: Sending a group message on DingTalk via the webhook of group bot
-  llm: A tool for sending messages to a chat group on DingTalk(钉钉) .
-parameters:
-  - name: access_token
-    type: secret-input
-    required: true
-    label:
-      en_US: access token
-      zh_Hans: access token
-      pt_BR: access token
-    human_description:
-      en_US: access_token in the group robot webhook
-      zh_Hans: 群自定义机器人webhook中access_token字段的值
-      pt_BR: access_token in the group robot webhook
-    form: form
-  - name: sign_secret
-    type: secret-input
-    required: true
-    label:
-      en_US: secret key for signing
-      zh_Hans: 加签秘钥
-      pt_BR: secret key for signing
-    human_description:
-      en_US: secret key for signing
-      zh_Hans: 加签秘钥
-      pt_BR: secret key for signing
-    form: form
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-      pt_BR: content
-    human_description:
-      en_US: Content to sent to the group.
-      zh_Hans: 群消息文本
-      pt_BR: Content to sent to the group.
-    llm_description: Content of the message
-    form: llm
diff --git a/api/core/tools/provider/builtin/discord/_assets/icon.svg b/api/core/tools/provider/builtin/discord/_assets/icon.svg
deleted file mode 100644
index 177a0591f9..0000000000
--- a/api/core/tools/provider/builtin/discord/_assets/icon.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-
<!-- Uploaded to: SVG Repo, www.svgrepo.com, Transformed by: SVG Repo Mixer Tools -->
-<svg width="80px" height="80px" viewBox="0 -28.5 256 256" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" preserveAspectRatio="xMidYMid" fill="#000000">
-
<g id="SVGRepo_bgCarrier" stroke-width="0"/>
-
<g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"/>
-
<g id="SVGRepo_iconCarrier"> <g> <path d="M216.856339,16.5966031 C200.285002,8.84328665 182.566144,3.2084988 164.041564,0 C161.766523,4.11318106 159.108624,9.64549908 157.276099,14.0464379 C137.583995,11.0849896 118.072967,11.0849896 98.7430163,14.0464379 C96.9108417,9.64549908 94.1925838,4.11318106 91.8971895,0 C73.3526068,3.2084988 55.6133949,8.86399117 39.0420583,16.6376612 C5.61752293,67.146514 -3.4433191,116.400813 1.08711069,164.955721 C23.2560196,181.510915 44.7403634,191.567697 65.8621325,198.148576 C71.0772151,190.971126 75.7283628,183.341335 79.7352139,175.300261 C72.104019,172.400575 64.7949724,168.822202 57.8887866,164.667963 C59.7209612,163.310589 61.5131304,161.891452 63.2445898,160.431257 C105.36741,180.133187 151.134928,180.133187 192.754523,160.431257 C194.506336,161.891452 196.298154,163.310589 198.110326,164.667963 C191.183787,168.842556 183.854737,172.420929 176.223542,175.320965 C180.230393,183.341335 184.861538,190.991831 190.096624,198.16893 C211.238746,191.588051 232.743023,181.531619 254.911949,164.955721 C260.227747,108.668201 245.831087,59.8662432 216.856339,16.5966031 Z M85.4738752,135.09489 C72.8290281,135.09489 62.4592217,123.290155 62.4592217,108.914901 C62.4592217,94.5396472 72.607595,82.7145587 85.4738752,82.7145587 C98.3405064,82.7145587 108.709962,94.5189427 108.488529,108.914901 C108.508531,123.290155 98.3405064,135.09489 85.4738752,135.09489 Z M170.525237,135.09489 C157.88039,135.09489 147.510584,123.290155 147.510584,108.914901 C147.510584,94.5396472 157.658606,82.7145587 170.525237,82.7145587 C183.391518,82.7145587 193.761324,94.5189427 193.539891,108.914901 C193.539891,123.290155 183.391518,135.09489 170.525237,135.09489 Z" fill="#5865F2" fill-rule="nonzero"> </path> </g> </g>
-
</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/discord/discord.py b/api/core/tools/provider/builtin/discord/discord.py
deleted file mode 100644
index c94824b591..0000000000
--- a/api/core/tools/provider/builtin/discord/discord.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin.discord.tools.discord_webhook import DiscordWebhookTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DiscordProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        DiscordWebhookTool()
diff --git a/api/core/tools/provider/builtin/discord/discord.yaml b/api/core/tools/provider/builtin/discord/discord.yaml
deleted file mode 100644
index 18b249b522..0000000000
--- a/api/core/tools/provider/builtin/discord/discord.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-identity:
-  author: Ice Yao
-  name: discord
-  label:
-    en_US: Discord
-    zh_Hans: Discord
-    pt_BR: Discord
-  description:
-    en_US: Discord Webhook
-    zh_Hans: Discord Webhook
-    pt_BR: Discord Webhook
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/discord/tools/discord_webhook.py b/api/core/tools/provider/builtin/discord/tools/discord_webhook.py
deleted file mode 100644
index c1834a1a26..0000000000
--- a/api/core/tools/provider/builtin/discord/tools/discord_webhook.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DiscordWebhookTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Incoming Webhooks
-        API Document:
-            https://discord.com/developers/docs/resources/webhook#execute-webhook
-        """
-
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        webhook_url = tool_parameters.get("webhook_url", "")
-        if not webhook_url.startswith("https://discord.com/api/webhooks/"):
-            return self.create_text_message(
-                f"Invalid parameter webhook_url ${webhook_url}, \
-                    not a valid Discord webhook URL"
-            )
-
-        headers = {
-            "Content-Type": "application/json",
-        }
-        payload = {
-            "username": tool_parameters.get("username") or user_id,
-            "content": content,
-            "avatar_url": tool_parameters.get("avatar_url") or None,
-        }
-
-        try:
-            res = httpx.post(webhook_url, headers=headers, json=payload)
-            if res.is_success:
-                return self.create_text_message("Text message was sent successfully")
-            else:
-                return self.create_text_message(
-                    f"Failed to send the text message, \
-                        status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to send message through webhook. {}".format(e))
diff --git a/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml b/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml
deleted file mode 100644
index 6847b973ca..0000000000
--- a/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-identity:
-  name: discord_webhook
-  author: Ice Yao
-  label:
-    en_US: Incoming Webhook to send message
-    zh_Hans: 通过入站Webhook发送消息
-    pt_BR: Incoming Webhook to send message
-  icon: icon.svg
-description:
-  human:
-    en_US: Sending a message on Discord via the Incoming Webhook
-    zh_Hans: 通过入站Webhook在Discord上发送消息
-    pt_BR: Sending a message on Discord via the Incoming Webhook
-  llm: A tool for sending messages to a chat on Discord.
-parameters:
-  - name: webhook_url
-    type: string
-    required: true
-    label:
-      en_US: Discord Incoming Webhook url
-      zh_Hans: Discord入站Webhook的url
-      pt_BR: Discord Incoming Webhook url
-    human_description:
-      en_US: Discord Incoming Webhook url
-      zh_Hans: Discord入站Webhook的url
-      pt_BR: Discord Incoming Webhook url
-    form: form
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-      pt_BR: content
-    human_description:
-      en_US: Content to sent to the channel or person.
-      zh_Hans: 消息内容文本
-      pt_BR: Content to sent to the channel or person.
-    llm_description: Content of the message
-    form: llm
-  - name: username
-    type: string
-    required: false
-    label:
-      en_US: Discord Webhook Username
-      zh_Hans: Discord Webhook用户名
-      pt_BR: Discord Webhook Username
-    human_description:
-      en_US: Discord Webhook Username
-      zh_Hans: Discord Webhook用户名
-      pt_BR: Discord Webhook Username
-    llm_description: Discord Webhook Username
-    form: llm
-  - name: avatar_url
-    type: string
-    required: false
-    label:
-      en_US: Discord Webhook Avatar
-      zh_Hans: Discord Webhook头像
-      pt_BR: Discord Webhook Avatar
-    human_description:
-      en_US: Discord Webhook Avatar URL
-      zh_Hans: Discord Webhook头像地址
-      pt_BR: Discord Webhook Avatar URL
-    form: form
diff --git a/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg b/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg
deleted file mode 100644
index a816a6b49e..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py
deleted file mode 100644
index 8269167127..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.duckduckgo.tools.ddgo_search import DuckDuckGoSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class DuckDuckGoProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            DuckDuckGoSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "John Doe",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml
deleted file mode 100644
index f3faa06045..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-identity:
-  author: Yash Parmar
-  name: duckduckgo
-  label:
-    en_US: DuckDuckGo
-    zh_Hans: DuckDuckGo
-  description:
-    en_US: A privacy-focused search engine.
-    zh_Hans: 一个注重隐私的搜索引擎。
-  icon: icon.svg
-  tags:
-    - search
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py
deleted file mode 100644
index 8bdd638f4a..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from duckduckgo_search import DDGS
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DuckDuckGoAITool(BuiltinTool):
-    """
-    Tool for performing a search using DuckDuckGo search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        query_dict = {
-            "keywords": tool_parameters.get("query"),
-            "model": tool_parameters.get("model"),
-        }
-        response = DDGS().chat(**query_dict)
-        return self.create_text_message(text=response)
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml
deleted file mode 100644
index dd049d3b5a..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-identity:
-  name: ddgo_ai
-  author: hjlarry
-  label:
-    en_US: DuckDuckGo AI Chat
-    zh_Hans: DuckDuckGo AI聊天
-description:
-  human:
-    en_US: Use the anonymous private chat provided by DuckDuckGo.
-    zh_Hans: 使用DuckDuckGo提供的匿名私密聊天。
-  llm: Use the anonymous private chat provided by DuckDuckGo.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Chat Content
-      zh_Hans: 聊天内容
-    human_description:
-      en_US: The chat content.
-      zh_Hans: 要聊天的内容。
-    llm_description: Key words for chat
-    form: llm
-  - name: model
-    type: select
-    required: true
-    options:
-      - value: gpt-4o-mini
-        label:
-          en_US: GPT-4o-mini
-      - value: claude-3-haiku
-        label:
-          en_US: Claude 3
-      - value: llama-3-70b
-        label:
-          en_US: Llama 3
-      - value: mixtral-8x7b
-        label:
-          en_US: Mixtral
-    default: gpt-4o-mini
-    label:
-      en_US: Choose Model
-      zh_Hans: 选择模型
-    human_description:
-      en_US: used to select the model for AI chat.
-      zh_Hans: 用于选择使用AI聊天的模型
-    form: form
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py
deleted file mode 100644
index b3c630878f..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import Any
-
-from duckduckgo_search import DDGS
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DuckDuckGoImageSearchTool(BuiltinTool):
-    """
-    Tool for performing an image search using DuckDuckGo search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
-        query_dict = {
-            "keywords": tool_parameters.get("query"),
-            "timelimit": tool_parameters.get("timelimit"),
-            "size": tool_parameters.get("size"),
-            "max_results": tool_parameters.get("max_results"),
-        }
-
-        # Add query_prefix handling
-        query_prefix = tool_parameters.get("query_prefix", "").strip()
-        final_query = f"{query_prefix} {query_dict['keywords']}".strip()
-        query_dict["keywords"] = final_query
-
-        response = DDGS().images(**query_dict)
-        markdown_result = "\n\n"
-        json_result = []
-        for res in response:
-            markdown_result += f"![{res.get('title') or ''}]({res.get('image') or ''})"
-            json_result.append(self.create_json_message(res))
-        return [self.create_text_message(markdown_result)] + json_result
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml
deleted file mode 100644
index a543d1e218..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml
+++ /dev/null
@@ -1,99 +0,0 @@
-identity:
-  name: ddgo_img
-  author: hjlarry
-  label:
-    en_US: DuckDuckGo Image Search
-    zh_Hans: DuckDuckGo 图片搜索
-description:
-  human:
-    en_US: Perform image searches on DuckDuckGo and get results.
-    zh_Hans: 在 DuckDuckGo 上进行图片搜索并获取结果。
-  llm: Perform image searches on DuckDuckGo and get results.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-    human_description:
-      en_US: The search query.
-      zh_Hans: 搜索查询语句。
-    llm_description: Key words for searching
-    form: llm
-  - name: max_results
-    type: number
-    required: true
-    default: 3
-    label:
-      en_US: Max results
-      zh_Hans: 最大结果数量
-    human_description:
-      en_US: The max results.
-      zh_Hans: 最大结果数量
-    form: form
-  - name: timelimit
-    type: select
-    required: false
-    options:
-      - value: Day
-        label:
-          en_US: current day
-          zh_Hans: 当天
-      - value: Week
-        label:
-          en_US: current week
-          zh_Hans: 本周
-      - value: Month
-        label:
-          en_US: current month
-          zh_Hans: 当月
-      - value: Year
-        label:
-          en_US: current year
-          zh_Hans: 今年
-    label:
-      en_US: Result time limit
-      zh_Hans: 结果时间限制
-    human_description:
-      en_US: Use when querying results within a specific time range only.
-      zh_Hans: 只查询一定时间范围内的结果时使用
-    form: form
-  - name: size
-    type: select
-    required: false
-    options:
-      - value: Small
-        label:
-          en_US: small
-          zh_Hans: 小
-      - value: Medium
-        label:
-          en_US: medium
-          zh_Hans: 中
-      - value: Large
-        label:
-          en_US: large
-          zh_Hans: 大
-      - value: Wallpaper
-        label:
-          en_US: xl
-          zh_Hans: 超大
-    label:
-      en_US: image size
-      zh_Hans: 图片大小
-    human_description:
-      en_US: The size of the image to be searched.
-      zh_Hans: 要搜索的图片的大小
-    form: form
-  - name: query_prefix
-    label:
-      en_US: Query Prefix
-      zh_Hans: 查询前缀
-    type: string
-    required: false
-    default: ""
-    form: form
-    human_description:
-      en_US: Specific Search e.g. "site:unsplash.com"
-      zh_Hans: 定向搜索 e.g. "site:unsplash.com"
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py
deleted file mode 100644
index 11da6f5cf7..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py
+++ /dev/null
@@ -1,93 +0,0 @@
-from typing import Any
-
-from duckduckgo_search import DDGS
-
-from core.model_runtime.entities.message_entities import SystemPromptMessage
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SUMMARY_PROMPT = """
-User's query:
-{query}
-
-Here are the news results:
-{content}
-
-Please summarize the news in a few sentences.
-"""
-
-
-class DuckDuckGoNewsSearchTool(BuiltinTool):
-    """
-    Tool for performing a news search using DuckDuckGo search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        query_dict = {
-            "keywords": tool_parameters.get("query"),
-            "timelimit": tool_parameters.get("timelimit"),
-            "max_results": tool_parameters.get("max_results"),
-            "safesearch": "moderate",
-            "region": "wt-wt",
-        }
-
-        # Add query_prefix handling
-        query_prefix = tool_parameters.get("query_prefix", "").strip()
-        final_query = f"{query_prefix} {query_dict['keywords']}".strip()
-        query_dict["keywords"] = final_query
-
-        try:
-            response = list(DDGS().news(**query_dict))
-            if not response:
-                return [self.create_text_message("No news found matching your criteria.")]
-        except Exception as e:
-            return [self.create_text_message(f"Error searching news: {str(e)}")]
-
-        require_summary = tool_parameters.get("require_summary", False)
-
-        if require_summary:
-            results = "\n".join([f"{res.get('title')}: {res.get('body')}" for res in response])
-            results = self.summary_results(user_id=user_id, content=results, query=query_dict["keywords"])
-            return self.create_text_message(text=results)
-
-        # Create rich markdown content for each news item
-        markdown_result = "\n\n"
-        json_result = []
-
-        for res in response:
-            markdown_result += f"### {res.get('title', 'Untitled')}\n\n"
-            if res.get("date"):
-                markdown_result += f"**Date:** {res.get('date')}\n\n"
-            if res.get("body"):
-                markdown_result += f"{res.get('body')}\n\n"
-            if res.get("source"):
-                markdown_result += f"*Source: {res.get('source')}*\n\n"
-            if res.get("image"):
-                markdown_result += f"![{res.get('title', '')}]({res.get('image')})\n\n"
-            markdown_result += f"[Read more]({res.get('url', '')})\n\n---\n\n"
-
-            json_result.append(
-                self.create_json_message(
-                    {
-                        "title": res.get("title", ""),
-                        "date": res.get("date", ""),
-                        "body": res.get("body", ""),
-                        "url": res.get("url", ""),
-                        "image": res.get("image", ""),
-                        "source": res.get("source", ""),
-                    }
-                )
-            )
-
-        return [self.create_text_message(markdown_result)] + json_result
-
-    def summary_results(self, user_id: str, content: str, query: str) -> str:
-        prompt = SUMMARY_PROMPT.format(query=query, content=content)
-        summary = self.invoke_model(
-            user_id=user_id,
-            prompt_messages=[
-                SystemPromptMessage(content=prompt),
-            ],
-            stop=[],
-        )
-        return summary.message.content
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml
deleted file mode 100644
index 6e181e0f41..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml
+++ /dev/null
@@ -1,82 +0,0 @@
-identity:
-  name: ddgo_news
-  author: Assistant
-  label:
-    en_US: DuckDuckGo News Search
-    zh_Hans: DuckDuckGo 新闻搜索
-description:
-  human:
-    en_US: Perform news searches on DuckDuckGo and get results.
-    zh_Hans: 在 DuckDuckGo 上进行新闻搜索并获取结果。
-  llm: Perform news searches on DuckDuckGo and get results.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query String
-      zh_Hans: 查询语句
-    human_description:
-      en_US: Search Query.
-      zh_Hans: 搜索查询语句。
-    llm_description: Key words for searching
-    form: llm
-  - name: max_results
-    type: number
-    required: true
-    default: 5
-    label:
-      en_US: Max Results
-      zh_Hans: 最大结果数量
-    human_description:
-      en_US: The Max Results
-      zh_Hans: 最大结果数量
-    form: form
-  - name: timelimit
-    type: select
-    required: false
-    options:
-      - value: Day
-        label:
-          en_US: Current Day
-          zh_Hans: 当天
-      - value: Week
-        label:
-          en_US: Current Week
-          zh_Hans: 本周
-      - value: Month
-        label:
-          en_US: Current Month
-          zh_Hans: 当月
-      - value: Year
-        label:
-          en_US: Current Year
-          zh_Hans: 今年
-    label:
-      en_US: Result Time Limit
-      zh_Hans: 结果时间限制
-    human_description:
-      en_US: Use when querying results within a specific time range only.
-      zh_Hans: 只查询一定时间范围内的结果时使用
-    form: form
-  - name: require_summary
-    type: boolean
-    default: false
-    label:
-      en_US: Require Summary
-      zh_Hans: 是否总结
-    human_description:
-      en_US: Whether to pass the news results to llm for summarization.
-      zh_Hans: 是否需要将新闻结果传给大模型总结
-    form: form
-  - name: query_prefix
-    label:
-      en_US: Query Prefix
-      zh_Hans: 查询前缀
-    type: string
-    required: false
-    default: ""
-    form: form
-    human_description:
-      en_US: Specific Search e.g. "site:msn.com"
-      zh_Hans: 定向搜索 e.g. "site:msn.com"
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py
deleted file mode 100644
index 3cd35d16a6..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Any
-
-from duckduckgo_search import DDGS
-
-from core.model_runtime.entities.message_entities import SystemPromptMessage
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SUMMARY_PROMPT = """
-User's query:
-{query}
-
-Here is the search engine result:
-{content}
-
-Please summarize the result in a few sentences.
-"""
-
-
-class DuckDuckGoSearchTool(BuiltinTool):
-    """
-    Tool for performing a search using DuckDuckGo search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        query = tool_parameters.get("query")
-        max_results = tool_parameters.get("max_results", 5)
-        require_summary = tool_parameters.get("require_summary", False)
-
-        # Add query_prefix handling
-        query_prefix = tool_parameters.get("query_prefix", "").strip()
-        final_query = f"{query_prefix} {query}".strip()
-
-        response = DDGS().text(final_query, max_results=max_results)
-        if require_summary:
-            results = "\n".join([res.get("body") for res in response])
-            results = self.summary_results(user_id=user_id, content=results, query=query)
-            return self.create_text_message(text=results)
-        return [self.create_json_message(res) for res in response]
-
-    def summary_results(self, user_id: str, content: str, query: str) -> str:
-        prompt = SUMMARY_PROMPT.format(query=query, content=content)
-        summary = self.invoke_model(
-            user_id=user_id,
-            prompt_messages=[
-                SystemPromptMessage(content=prompt),
-            ],
-            stop=[],
-        )
-        return summary.message.content
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml
deleted file mode 100644
index 54e27d9905..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-identity:
-  name: ddgo_search
-  author: Yash Parmar
-  label:
-    en_US: DuckDuckGo Search
-    zh_Hans: DuckDuckGo 搜索
-description:
-  human:
-    en_US: Perform searches on DuckDuckGo and get results.
-    zh_Hans: 在 DuckDuckGo 上进行搜索并获取结果。
-  llm: Perform searches on DuckDuckGo and get results.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-    human_description:
-      en_US: The search query.
-      zh_Hans: 搜索查询语句。
-    llm_description: Key words for searching
-    form: llm
-  - name: max_results
-    type: number
-    required: true
-    default: 5
-    label:
-      en_US: Max results
-      zh_Hans: 最大结果数量
-    form: form
-  - name: require_summary
-    type: boolean
-    default: false
-    label:
-      en_US: Require Summary
-      zh_Hans: 是否总结
-    human_description:
-      en_US: Whether to pass the search results to llm for summarization.
-      zh_Hans: 是否需要将搜索结果传给大模型总结
-    form: form
-  - name: query_prefix
-    label:
-      en_US: Query Prefix
-      zh_Hans: 查询前缀
-    type: string
-    required: false
-    default: ""
-    form: form
-    human_description:
-      en_US: Specific Search e.g. "site:wikipedia.org"
-      zh_Hans: 定向搜索 e.g. "site:wikipedia.org"
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py
deleted file mode 100644
index 396ce21b18..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from duckduckgo_search import DDGS
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DuckDuckGoTranslateTool(BuiltinTool):
-    """
-    Tool for performing a search using DuckDuckGo search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        query_dict = {
-            "keywords": tool_parameters.get("query"),
-            "to": tool_parameters.get("translate_to"),
-        }
-        response = DDGS().translate(**query_dict)[0].get("translated", "Unable to translate!")
-        return self.create_text_message(text=response)
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml
deleted file mode 100644
index 78b5d0b022..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-identity:
-  name: ddgo_translate
-  author: hjlarry
-  label:
-    en_US: DuckDuckGo Translate
-    zh_Hans: DuckDuckGo 翻译
-description:
-  human:
-    en_US: Use DuckDuckGo's translation feature.
-    zh_Hans: 使用DuckDuckGo的翻译功能。
-  llm: Use DuckDuckGo's translation feature.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Translate Content
-      zh_Hans: 翻译内容
-    human_description:
-      en_US: The translate content.
-      zh_Hans: 要翻译的内容。
-    llm_description: Key words for translate
-    form: llm
-  - name: translate_to
-    type: select
-    required: true
-    options:
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: zh-Hans
-        label:
-          en_US: Simplified Chinese
-          zh_Hans: 简体中文
-      - value: zh-Hant
-        label:
-          en_US: Traditional Chinese
-          zh_Hans: 繁体中文
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-    default: en
-    label:
-      en_US: Choose Language
-      zh_Hans: 选择语言
-    human_description:
-      en_US: select the language to translate.
-      zh_Hans: 选择要翻译的语言
-    form: form
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py
deleted file mode 100644
index 1eef0b1ba2..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py
+++ /dev/null
@@ -1,91 +0,0 @@
-from typing import Any, ClassVar
-
-from duckduckgo_search import DDGS
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DuckDuckGoVideoSearchTool(BuiltinTool):
-    """
-    Tool for performing a video search using DuckDuckGo search engine.
-    """
-
-    IFRAME_TEMPLATE: ClassVar[str] = """
-<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; \
-max-width: 100%; border-radius: 8px;">
-    <iframe
-        style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"
-        src="{src}"
-        frameborder="0"
-        allowfullscreen>
-    </iframe>
-</div>"""
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
-        query_dict = {
-            "keywords": tool_parameters.get("query"),  # LLM's query
-            "region": tool_parameters.get("region", "wt-wt"),
-            "safesearch": tool_parameters.get("safesearch", "moderate"),
-            "timelimit": tool_parameters.get("timelimit"),
-            "resolution": tool_parameters.get("resolution"),
-            "duration": tool_parameters.get("duration"),
-            "license_videos": tool_parameters.get("license_videos"),
-            "max_results": tool_parameters.get("max_results"),
-        }
-
-        # Remove None values to use API defaults
-        query_dict = {k: v for k, v in query_dict.items() if v is not None}
-
-        # Get proxy URL from parameters
-        proxy_url = tool_parameters.get("proxy_url", "").strip()
-
-        query_prefix = tool_parameters.get("query_prefix", "").strip()
-        final_query = f"{query_prefix} {query_dict['keywords']}".strip()
-
-        # Update the keywords in query_dict with the final_query
-        query_dict["keywords"] = final_query
-
-        response = DDGS().videos(**query_dict)
-
-        # Create HTML result with embedded iframes
-        markdown_result = "\n\n"
-        json_result = []
-
-        for res in response:
-            title = res.get("title", "")
-            embed_html = res.get("embed_html", "")
-            description = res.get("description", "")
-            content_url = res.get("content", "")
-            transcript_url = None
-
-            # Handle TED.com videos
-            if "ted.com/talks" in content_url:
-                # Create transcript URL
-                transcript_url = f"{content_url}/transcript"
-                # Create embed URL
-                embed_url = content_url.replace("www.ted.com", "embed.ted.com")
-                if proxy_url:
-                    embed_url = f"{proxy_url}{embed_url}"
-                embed_html = self.IFRAME_TEMPLATE.format(src=embed_url)
-
-            # Original YouTube/other platform handling
-            elif embed_html:
-                embed_url = res.get("embed_url", "")
-                if proxy_url and embed_url:
-                    embed_url = f"{proxy_url}{embed_url}"
-                embed_html = self.IFRAME_TEMPLATE.format(src=embed_url)
-
-            markdown_result += f"{title}\n\n"
-            markdown_result += f"{embed_html}\n\n"
-            if description:
-                markdown_result += f"{description}\n\n"
-            markdown_result += "---\n\n"
-
-            # Add transcript_url to the JSON result if available
-            result_dict = res.copy()
-            if transcript_url:
-                result_dict["transcript_url"] = transcript_url
-            json_result.append(self.create_json_message(result_dict))
-
-        return [self.create_text_message(markdown_result)] + json_result
diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml
deleted file mode 100644
index d846244e3d..0000000000
--- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml
+++ /dev/null
@@ -1,108 +0,0 @@
-identity:
-  name: ddgo_video
-  author: Tao Wang
-  label:
-    en_US: DuckDuckGo Video Search
-    zh_Hans: DuckDuckGo 视频搜索
-description:
-  human:
-    en_US: Search and embedded videos.
-    zh_Hans: 搜索并嵌入视频
-  llm: Search videos on duckduckgo and embed videos in iframe
-parameters:
-  - name: query
-    label:
-      en_US: Query String
-      zh_Hans: 查询语句
-    type: string
-    required: true
-    human_description:
-      en_US: Search Query
-      zh_Hans: 搜索查询语句
-    llm_description: Key words for searching
-    form: llm
-  - name: max_results
-    label:
-      en_US: Max Results
-      zh_Hans: 最大结果数量
-    type: number
-    required: true
-    default: 3
-    minimum: 1
-    maximum: 10
-    human_description:
-      en_US: The max results (1-10)
-      zh_Hans: 最大结果数量（1-10）
-    form: form
-  - name: timelimit
-    label:
-      en_US: Result Time Limit
-      zh_Hans: 结果时间限制
-    type: select
-    required: false
-    options:
-      - value: Day
-        label:
-          en_US: Current Day
-          zh_Hans: 当天
-      - value: Week
-        label:
-          en_US: Current Week
-          zh_Hans: 本周
-      - value: Month
-        label:
-          en_US: Current Month
-          zh_Hans: 当月
-      - value: Year
-        label:
-          en_US: Current Year
-          zh_Hans: 今年
-    human_description:
-      en_US: Query results within a specific time range only
-      zh_Hans: 只查询一定时间范围内的结果时使用
-    form: form
-  - name: duration
-    label:
-      en_US: Video Duration
-      zh_Hans: 视频时长
-    type: select
-    required: false
-    options:
-      - value: short
-        label:
-          en_US: Short (<4 minutes)
-          zh_Hans: 短视频（<4分钟）
-      - value: medium
-        label:
-          en_US: Medium (4-20 minutes)
-          zh_Hans: 中等（4-20分钟）
-      - value: long
-        label:
-          en_US: Long (>20 minutes)
-          zh_Hans: 长视频（>20分钟）
-    human_description:
-      en_US: Filter videos by duration
-      zh_Hans: 按时长筛选视频
-    form: form
-  - name: proxy_url
-    label:
-      en_US: Proxy URL
-      zh_Hans: 视频代理地址
-    type: string
-    required: false
-    default: ""
-    human_description:
-      en_US: Proxy URL
-      zh_Hans: 视频代理地址
-    form: form
-  - name: query_prefix
-    label:
-      en_US: Query Prefix
-      zh_Hans: 查询前缀
-    type: string
-    required: false
-    default: ""
-    form: form
-    human_description:
-      en_US: Specific Search e.g. "site:www.ted.com"
-      zh_Hans: 定向搜索 e.g. "site:www.ted.com"
diff --git a/api/core/tools/provider/builtin/email/_assets/icon.svg b/api/core/tools/provider/builtin/email/_assets/icon.svg
deleted file mode 100644
index b34f333890..0000000000
--- a/api/core/tools/provider/builtin/email/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/api/core/tools/provider/builtin/email/email.py b/api/core/tools/provider/builtin/email/email.py
deleted file mode 100644
index 182d8dac28..0000000000
--- a/api/core/tools/provider/builtin/email/email.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin.email.tools.send_mail import SendMailTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SmtpProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        SendMailTool()
diff --git a/api/core/tools/provider/builtin/email/email.yaml b/api/core/tools/provider/builtin/email/email.yaml
deleted file mode 100644
index bb1bb7f6f3..0000000000
--- a/api/core/tools/provider/builtin/email/email.yaml
+++ /dev/null
@@ -1,83 +0,0 @@
-identity:
-  author: wakaka6
-  name: email
-  label:
-    en_US: email
-    zh_Hans: 电子邮件
-  description:
-    en_US: send email through smtp protocol
-    zh_Hans: 通过smtp协议发送电子邮件
-  icon: icon.svg
-  tags:
-    - utilities
-credentials_for_provider:
-  email_account:
-    type: text-input
-    required: true
-    label:
-      en_US: email account
-      zh_Hans: 邮件账号
-    placeholder:
-      en_US: input you email account
-      zh_Hans: 输入你的邮箱账号
-    help:
-      en_US: email account
-      zh_Hans: 邮件账号
-  email_password:
-    type: secret-input
-    required: true
-    label:
-      en_US: email password
-      zh_Hans: 邮件密码
-    placeholder:
-      en_US: email password
-      zh_Hans: 邮件密码
-    help:
-      en_US: email password
-      zh_Hans: 邮件密码
-  smtp_server:
-    type: text-input
-    required: true
-    label:
-      en_US: smtp server
-      zh_Hans: 发信smtp服务器地址
-    placeholder:
-      en_US: smtp server
-      zh_Hans: 发信smtp服务器地址
-    help:
-      en_US: smtp server
-      zh_Hans: 发信smtp服务器地址
-  smtp_port:
-    type: text-input
-    required: true
-    label:
-      en_US: smtp server port
-      zh_Hans: 发信smtp服务器端口
-    placeholder:
-      en_US: smtp server port
-      zh_Hans: 发信smtp服务器端口
-    help:
-      en_US: smtp server port
-      zh_Hans: 发信smtp服务器端口
-  encrypt_method:
-    type: select
-    required: true
-    options:
-      - value: NONE
-        label:
-          en_US: NONE
-          zh_Hans: 无加密
-      - value: SSL
-        label:
-          en_US: SSL
-          zh_Hans: SSL加密
-      - value: TLS
-        label:
-          en_US: START TLS
-          zh_Hans: START TLS加密
-    label:
-      en_US: encrypt method
-      zh_Hans: 加密方式
-    help:
-      en_US: smtp server encrypt method
-      zh_Hans: 发信smtp服务器加密方式
diff --git a/api/core/tools/provider/builtin/email/tools/send.py b/api/core/tools/provider/builtin/email/tools/send.py
deleted file mode 100644
index 2012d8b115..0000000000
--- a/api/core/tools/provider/builtin/email/tools/send.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import logging
-import smtplib
-import ssl
-from email.mime.multipart import MIMEMultipart
-from email.mime.text import MIMEText
-
-from pydantic import BaseModel
-
-
-class SendEmailToolParameters(BaseModel):
-    smtp_server: str
-    smtp_port: int
-
-    email_account: str
-    email_password: str
-
-    sender_to: str
-    subject: str
-    email_content: str
-    encrypt_method: str
-
-
-def send_mail(params: SendEmailToolParameters):
-    timeout = 60
-    msg = MIMEMultipart("alternative")
-    msg["From"] = params.email_account
-    msg["To"] = params.sender_to
-    msg["Subject"] = params.subject
-    msg.attach(MIMEText(params.email_content, "plain"))
-    msg.attach(MIMEText(params.email_content, "html"))
-
-    ctx = ssl.create_default_context()
-
-    if params.encrypt_method.upper() == "SSL":
-        try:
-            with smtplib.SMTP_SSL(params.smtp_server, params.smtp_port, context=ctx, timeout=timeout) as server:
-                server.login(params.email_account, params.email_password)
-                server.sendmail(params.email_account, params.sender_to, msg.as_string())
-                return True
-        except Exception as e:
-            logging.exception("send email failed")
-            return False
-    else:  # NONE or TLS
-        try:
-            with smtplib.SMTP(params.smtp_server, params.smtp_port, timeout=timeout) as server:
-                if params.encrypt_method.upper() == "TLS":
-                    server.starttls(context=ctx)
-                server.login(params.email_account, params.email_password)
-                server.sendmail(params.email_account, params.sender_to, msg.as_string())
-                return True
-        except Exception as e:
-            logging.exception("send email failed")
-            return False
diff --git a/api/core/tools/provider/builtin/email/tools/send_mail.py b/api/core/tools/provider/builtin/email/tools/send_mail.py
deleted file mode 100644
index 33c040400c..0000000000
--- a/api/core/tools/provider/builtin/email/tools/send_mail.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import re
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.email.tools.send import (
-    SendEmailToolParameters,
-    send_mail,
-)
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SendMailTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        sender = self.runtime.credentials.get("email_account", "")
-        email_rgx = re.compile(r"^[a-zA-Z0-9._-]+@[a-zA-Z0-9_-]+(\.[a-zA-Z0-9_-]+)+$")
-        password = self.runtime.credentials.get("email_password", "")
-        smtp_server = self.runtime.credentials.get("smtp_server", "")
-        if not smtp_server:
-            return self.create_text_message("please input smtp server")
-        smtp_port = self.runtime.credentials.get("smtp_port", "")
-        try:
-            smtp_port = int(smtp_port)
-        except ValueError:
-            return self.create_text_message("Invalid parameter smtp_port(should be int)")
-
-        if not sender:
-            return self.create_text_message("please input sender")
-        if not email_rgx.match(sender):
-            return self.create_text_message("Invalid parameter userid, the sender is not a mailbox")
-
-        receiver_email = tool_parameters["send_to"]
-        if not receiver_email:
-            return self.create_text_message("please input receiver email")
-        if not email_rgx.match(receiver_email):
-            return self.create_text_message("Invalid parameter receiver email, the receiver email is not a mailbox")
-        email_content = tool_parameters.get("email_content", "")
-
-        if not email_content:
-            return self.create_text_message("please input email content")
-
-        subject = tool_parameters.get("subject", "")
-        if not subject:
-            return self.create_text_message("please input email subject")
-
-        encrypt_method = self.runtime.credentials.get("encrypt_method", "")
-        if not encrypt_method:
-            return self.create_text_message("please input encrypt method")
-
-        send_email_params = SendEmailToolParameters(
-            smtp_server=smtp_server,
-            smtp_port=smtp_port,
-            email_account=sender,
-            email_password=password,
-            sender_to=receiver_email,
-            subject=subject,
-            email_content=email_content,
-            encrypt_method=encrypt_method,
-        )
-        if send_mail(send_email_params):
-            return self.create_text_message("send email success")
-        return self.create_text_message("send email failed")
diff --git a/api/core/tools/provider/builtin/email/tools/send_mail.yaml b/api/core/tools/provider/builtin/email/tools/send_mail.yaml
deleted file mode 100644
index f54880bf3e..0000000000
--- a/api/core/tools/provider/builtin/email/tools/send_mail.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  name: send_mail
-  author: wakaka6
-  label:
-    en_US: send email
-    zh_Hans: 发送邮件
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for sending email
-    zh_Hans: 用于发送邮件
-  llm: A tool for sending email
-parameters:
-  - name: send_to
-    type: string
-    required: true
-    label:
-      en_US: Recipient email account
-      zh_Hans: 收件人邮箱账号
-    human_description:
-      en_US: Recipient email account
-      zh_Hans: 收件人邮箱账号
-    llm_description: Recipient email account
-    form: llm
-  - name: subject
-    type: string
-    required: true
-    label:
-      en_US: email subject
-      zh_Hans: 邮件主题
-    human_description:
-      en_US: email subject
-      zh_Hans: 邮件主题
-    llm_description: email subject
-    form: llm
-  - name: email_content
-    type: string
-    required: true
-    label:
-      en_US: email content
-      zh_Hans: 邮件内容
-    human_description:
-      en_US: email content
-      zh_Hans: 邮件内容
-    llm_description: email content
-    form: llm
diff --git a/api/core/tools/provider/builtin/email/tools/send_mail_batch.py b/api/core/tools/provider/builtin/email/tools/send_mail_batch.py
deleted file mode 100644
index 537dedb27d..0000000000
--- a/api/core/tools/provider/builtin/email/tools/send_mail_batch.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import json
-import re
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.email.tools.send import (
-    SendEmailToolParameters,
-    send_mail,
-)
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SendMailTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        sender = self.runtime.credentials.get("email_account", "")
-        email_rgx = re.compile(r"^[a-zA-Z0-9._-]+@[a-zA-Z0-9_-]+(\.[a-zA-Z0-9_-]+)+$")
-        password = self.runtime.credentials.get("email_password", "")
-        smtp_server = self.runtime.credentials.get("smtp_server", "")
-        if not smtp_server:
-            return self.create_text_message("please input smtp server")
-        smtp_port = self.runtime.credentials.get("smtp_port", "")
-        try:
-            smtp_port = int(smtp_port)
-        except ValueError:
-            return self.create_text_message("Invalid parameter smtp_port(should be int)")
-
-        if not sender:
-            return self.create_text_message("please input sender")
-        if not email_rgx.match(sender):
-            return self.create_text_message("Invalid parameter userid, the sender is not a mailbox")
-
-        receivers_email = tool_parameters["send_to"]
-        if not receivers_email:
-            return self.create_text_message("please input receiver email")
-        receivers_email = json.loads(receivers_email)
-        for receiver in receivers_email:
-            if not email_rgx.match(receiver):
-                return self.create_text_message(
-                    f"Invalid parameter receiver email, the receiver email({receiver}) is not a mailbox"
-                )
-        email_content = tool_parameters.get("email_content", "")
-
-        if not email_content:
-            return self.create_text_message("please input email content")
-
-        subject = tool_parameters.get("subject", "")
-        if not subject:
-            return self.create_text_message("please input email subject")
-
-        encrypt_method = self.runtime.credentials.get("encrypt_method", "")
-        if not encrypt_method:
-            return self.create_text_message("please input encrypt method")
-
-        msg = {}
-        for receiver in receivers_email:
-            send_email_params = SendEmailToolParameters(
-                smtp_server=smtp_server,
-                smtp_port=smtp_port,
-                email_account=sender,
-                email_password=password,
-                sender_to=receiver,
-                subject=subject,
-                email_content=email_content,
-                encrypt_method=encrypt_method,
-            )
-            if send_mail(send_email_params):
-                msg[receiver] = "send email success"
-            else:
-                msg[receiver] = "send email failed"
-        return self.create_text_message(json.dumps(msg))
diff --git a/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml b/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml
deleted file mode 100644
index 6e4aa785cb..0000000000
--- a/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  name: send_mail_batch
-  author: wakaka6
-  label:
-    en_US: send email to multiple recipients
-    zh_Hans: 发送邮件给多个收件人
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for sending email to multiple recipients
-    zh_Hans: 用于发送邮件给多个收件人的工具
-  llm: A tool for sending email to multiple recipients
-parameters:
-  - name: send_to
-    type: string
-    required: true
-    label:
-      en_US: Recipient email account(json list)
-      zh_Hans: 收件人邮箱账号(json list)
-    human_description:
-      en_US: Recipient email account
-      zh_Hans: 收件人邮箱账号
-    llm_description: A list of recipient email account(json format)
-    form: llm
-  - name: subject
-    type: string
-    required: true
-    label:
-      en_US: email subject
-      zh_Hans: 邮件主题
-    human_description:
-      en_US: email subject
-      zh_Hans: 邮件主题
-    llm_description: email subject
-    form: llm
-  - name: email_content
-    type: string
-    required: true
-    label:
-      en_US: email content
-      zh_Hans: 邮件内容
-    human_description:
-      en_US: email content
-      zh_Hans: 邮件内容
-    llm_description: email content
-    form: llm
diff --git a/api/core/tools/provider/builtin/fal/_assets/icon.svg b/api/core/tools/provider/builtin/fal/_assets/icon.svg
deleted file mode 100644
index bfb270774d..0000000000
--- a/api/core/tools/provider/builtin/fal/_assets/icon.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg version="1.1" xmlns="http://www.w3.org/2000/svg" width="32" height="32">
-<path d="M0 0 C3.96 0 7.92 0 12 0 C12.4125 0.928125 12.825 1.85625 13.25 2.8125 C15.56104487 7.02190315 17.49701732 8.49900577 22 10 C22 13.96 22 17.92 22 22 C21.071875 22.4125 20.14375 22.825 19.1875 23.25 C14.97809685 25.56104487 13.50099423 27.49701732 12 32 C8.04 32 4.08 32 0 32 C-0.4125 31.071875 -0.825 30.14375 -1.25 29.1875 C-3.56104487 24.97809685 -5.49701732 23.50099423 -10 22 C-10 18.04 -10 14.08 -10 10 C-9.071875 9.5875 -8.14375 9.175 -7.1875 8.75 C-2.97809685 6.43895513 -1.50099423 4.50298268 0 0 Z M-2 11 C-3.42662219 13.85324437 -3.31033868 15.83454549 -3 19 C-1.20006226 21.69990662 0.083773 23.5418865 3 25 C7.1364408 25.56406011 8.76045933 25.14638597 12.375 22.9375 C15.26054626 20.20817124 15.26054626 20.20817124 15.6875 16.5625 C14.76325283 11.77321919 13.68514918 10.2147046 10 7 C4.54838272 6.02649691 1.87056683 7.12943317 -2 11 Z " fill="#EC0648" transform="translate(10,0)"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/fal/fal.py b/api/core/tools/provider/builtin/fal/fal.py
deleted file mode 100644
index c68e202133..0000000000
--- a/api/core/tools/provider/builtin/fal/fal.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class FalProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        url = "https://fal.run/fal-ai/flux/dev"
-        headers = {
-            "Authorization": f"Key {credentials.get('fal_api_key')}",
-            "Content-Type": "application/json",
-        }
-        data = {"prompt": "Cat"}
-
-        response = requests.post(url, json=data, headers=headers)
-        if response.status_code == 401:
-            raise ToolProviderCredentialValidationError("FAL API key is invalid")
-        elif response.status_code != 200:
-            raise ToolProviderCredentialValidationError(f"FAL API key validation failed: {response.text}")
diff --git a/api/core/tools/provider/builtin/fal/fal.yaml b/api/core/tools/provider/builtin/fal/fal.yaml
deleted file mode 100644
index 050a73f626..0000000000
--- a/api/core/tools/provider/builtin/fal/fal.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-identity:
-  author: Kalo Chin
-  name: fal
-  label:
-    en_US: FAL
-    zh_CN: FAL
-  description:
-    en_US: The image generation API provided by FAL.
-    zh_CN: FAL 提供的图像生成 API。
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  fal_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: FAL API Key
-    placeholder:
-      en_US: Please input your FAL API key
-    url: https://fal.ai/dashboard/keys
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py
deleted file mode 100644
index 7b5f10a64d..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class Flux11ProTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "Authorization": f"Key {self.runtime.credentials['fal_api_key']}",
-            "Content-Type": "application/json",
-        }
-
-        prompt = tool_parameters.get("prompt", "")
-        sanitized_prompt = prompt.replace("\\", "")  # Remove backslashes from the prompt which may cause errors
-
-        payload = {
-            "prompt": sanitized_prompt,
-            "image_size": tool_parameters.get("image_size", "landscape_4_3"),
-            "seed": tool_parameters.get("seed"),
-            "sync_mode": tool_parameters.get("sync_mode", False),
-            "num_images": tool_parameters.get("num_images", 1),
-            "enable_safety_checker": tool_parameters.get("enable_safety_checker", True),
-            "safety_tolerance": tool_parameters.get("safety_tolerance", "2"),
-        }
-
-        url = "https://fal.run/fal-ai/flux-pro/v1.1"
-
-        response = requests.post(url, json=payload, headers=headers)
-
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response: {response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-
-        for image_info in res.get("images", []):
-            image_url = image_info.get("url")
-            if image_url:
-                result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value))
-
-        return result
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml
deleted file mode 100644
index 237ee9937f..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml
+++ /dev/null
@@ -1,147 +0,0 @@
-identity:
-  name: flux_1_1_pro
-  author: Kalo Chin
-  label:
-    en_US: FLUX 1.1 [pro]
-    zh_Hans: FLUX 1.1 [pro]
-  icon: icon.svg
-description:
-  human:
-    en_US: FLUX 1.1 [pro] is an enhanced version of FLUX.1 [pro], improved image generation capabilities, delivering superior composition, detail, and artistic fidelity compared to its predecessor.
-    zh_Hans: FLUX 1.1 [pro] 是 FLUX.1 [pro] 的增强版，改进了图像生成能力，与其前身相比，提供了更出色的构图、细节和艺术保真度。
-  llm: This tool generates images from prompts using FAL's FLUX 1.1 [pro] model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 用于生成图片的文字提示词。
-    llm_description: This prompt text will be used to generate the image.
-    form: llm
-  - name: image_size
-    type: select
-    required: false
-    options:
-      - value: square_hd
-        label:
-          en_US: Square HD
-          zh_Hans: 方形高清
-      - value: square
-        label:
-          en_US: Square
-          zh_Hans: 方形
-      - value: portrait_4_3
-        label:
-          en_US: Portrait 4:3
-          zh_Hans: 竖屏 4:3
-      - value: portrait_16_9
-        label:
-          en_US: Portrait 16:9
-          zh_Hans: 竖屏 16:9
-      - value: landscape_4_3
-        label:
-          en_US: Landscape 4:3
-          zh_Hans: 横屏 4:3
-      - value: landscape_16_9
-        label:
-          en_US: Landscape 16:9
-          zh_Hans: 横屏 16:9
-    default: landscape_4_3
-    label:
-      en_US: Image Size
-      zh_Hans: 图片大小
-    human_description:
-      en_US: The size of the generated image.
-      zh_Hans: 生成图像的尺寸。
-    form: form
-  - name: num_images
-    type: number
-    required: false
-    default: 1
-    min: 1
-    max: 1
-    label:
-      en_US: Number of Images
-      zh_Hans: 图片数量
-    human_description:
-      en_US: The number of images to generate.
-      zh_Hans: 要生成的图片数量。
-    form: form
-  - name: safety_tolerance
-    type: select
-    required: false
-    options:
-      - value: "1"
-        label:
-          en_US: "1 (Most strict)"
-          zh_Hans: "1（最严格）"
-      - value: "2"
-        label:
-          en_US: "2"
-          zh_Hans: "2"
-      - value: "3"
-        label:
-          en_US: "3"
-          zh_Hans: "3"
-      - value: "4"
-        label:
-          en_US: "4"
-          zh_Hans: "4"
-      - value: "5"
-        label:
-          en_US: "5"
-          zh_Hans: "5"
-      - value: "6"
-        label:
-          en_US: "6 (Most permissive)"
-          zh_Hans: "6（最宽松）"
-    default: "2"
-    label:
-      en_US: Safety Tolerance
-      zh_Hans: 安全容忍度
-    human_description:
-      en_US: The safety tolerance level for the generated image. 1 being the most strict and 6 being the most permissive.
-      zh_Hans: 生成图像的安全容忍级别，1 为最严格，6 为最宽松。
-    form: form
-  - name: seed
-    type: number
-    required: false
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示词可以产生相似的图像。
-    form: form
-  - name: enable_safety_checker
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Enable Safety Checker
-      zh_Hans: 启用安全检查器
-    human_description:
-      en_US: Enable or disable the safety checker.
-      zh_Hans: 启用或禁用安全检查器。
-    form: form
-  - name: sync_mode
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Sync Mode
-      zh_Hans: 同步模式
-    human_description:
-      en_US: >
-        If set to true, the function will wait for the image to be generated and uploaded before returning the response.
-        This will increase the latency but allows you to get the image directly in the response without going through the CDN.
-      zh_Hans: >
-        如果设置为 true，函数将在生成并上传图像后再返回响应。
-        这将增加函数的延迟，但可以让您直接在响应中获取图像，而无需通过 CDN。
-    form: form
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py
deleted file mode 100644
index 2fb1565e7c..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class Flux11ProUltraTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "Authorization": f"Key {self.runtime.credentials['fal_api_key']}",
-            "Content-Type": "application/json",
-        }
-
-        prompt = tool_parameters.get("prompt", "")
-        sanitized_prompt = prompt.replace("\\", "")  # Remove backslashes from the prompt which may cause errors
-
-        payload = {
-            "prompt": sanitized_prompt,
-            "seed": tool_parameters.get("seed"),
-            "sync_mode": tool_parameters.get("sync_mode", False),
-            "num_images": tool_parameters.get("num_images", 1),
-            "enable_safety_checker": tool_parameters.get("enable_safety_checker", True),
-            "safety_tolerance": str(tool_parameters.get("safety_tolerance", "2")),
-            "aspect_ratio": tool_parameters.get("aspect_ratio", "16:9"),
-            "raw": tool_parameters.get("raw", False),
-        }
-
-        url = "https://fal.run/fal-ai/flux-pro/v1.1-ultra"
-
-        response = requests.post(url, json=payload, headers=headers)
-
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response: {response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-
-        for image_info in res.get("images", []):
-            image_url = image_info.get("url")
-            if image_url:
-                result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value))
-
-        return result
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml
deleted file mode 100644
index d518e51929..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml
+++ /dev/null
@@ -1,162 +0,0 @@
-identity:
-  name: flux_1_1_pro_ultra
-  author: Kalo Chin
-  label:
-    en_US: FLUX 1.1 [pro] ultra
-    zh_Hans: FLUX 1.1 [pro] ultra
-  icon: icon.svg
-description:
-  human:
-    en_US: FLUX 1.1 [pro] ultra is the newest version of FLUX 1.1 [pro], maintaining professional-grade image quality while delivering up to 2K resolution with improved photo realism.
-    zh_Hans: FLUX 1.1 [pro] ultra 是 FLUX 1.1 [pro] 的最新版本，保持了专业级的图像质量，同时以改进的照片真实感提供高达 2K 的分辨率。
-  llm: This tool generates images from prompts using FAL's FLUX 1.1 [pro] ultra model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 用于生成图像的文本提示。
-    llm_description: This prompt text will be used to generate the image.
-    form: llm
-  - name: aspect_ratio
-    type: select
-    required: false
-    options:
-      - value: '21:9'
-        label:
-          en_US: '21:9'
-          zh_Hans: '21:9'
-      - value: '16:9'
-        label:
-          en_US: '16:9'
-          zh_Hans: '16:9'
-      - value: '4:3'
-        label:
-          en_US: '4:3'
-          zh_Hans: '4:3'
-      - value: '1:1'
-        label:
-          en_US: '1:1'
-          zh_Hans: '1:1'
-      - value: '3:4'
-        label:
-          en_US: '3:4'
-          zh_Hans: '3:4'
-      - value: '9:16'
-        label:
-          en_US: '9:16'
-          zh_Hans: '9:16'
-      - value: '9:21'
-        label:
-          en_US: '9:21'
-          zh_Hans: '9:21'
-    default: '16:9'
-    label:
-      en_US: Aspect Ratio
-      zh_Hans: 纵横比
-    human_description:
-      en_US: The aspect ratio of the generated image.
-      zh_Hans: 生成图像的宽高比。
-    form: form
-  - name: num_images
-    type: number
-    required: false
-    default: 1
-    min: 1
-    max: 1
-    label:
-      en_US: Number of Images
-      zh_Hans: 图片数量
-    human_description:
-      en_US: The number of images to generate.
-      zh_Hans: 要生成的图像数量。
-    form: form
-  - name: safety_tolerance
-    type: select
-    required: false
-    options:
-      - value: "1"
-        label:
-          en_US: "1 (Most strict)"
-          zh_Hans: "1（最严格）"
-      - value: "2"
-        label:
-          en_US: "2"
-          zh_Hans: "2"
-      - value: "3"
-        label:
-          en_US: "3"
-          zh_Hans: "3"
-      - value: "4"
-        label:
-          en_US: "4"
-          zh_Hans: "4"
-      - value: "5"
-        label:
-          en_US: "5"
-          zh_Hans: "5"
-      - value: "6"
-        label:
-          en_US: "6 (Most permissive)"
-          zh_Hans: "6（最宽松）"
-    default: '2'
-    label:
-      en_US: Safety Tolerance
-      zh_Hans: 安全容忍度
-    human_description:
-      en_US: The safety tolerance level for the generated image. 1 being the most strict and 6 being the most permissive.
-      zh_Hans: 生成图像的安全容忍级别，1 为最严格，6 为最宽松。
-    form: form
-  - name: seed
-    type: number
-    required: false
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示词可以生成相似的图像。
-    form: form
-  - name: raw
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Raw Mode
-      zh_Hans: 原始模式
-    human_description:
-      en_US: Generate less processed, more natural-looking images.
-      zh_Hans: 生成较少处理、更自然的图像。
-    form: form
-  - name: enable_safety_checker
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Enable Safety Checker
-      zh_Hans: 启用安全检查器
-    human_description:
-      en_US: Enable or disable the safety checker.
-      zh_Hans: 启用或禁用安全检查器。
-    form: form
-  - name: sync_mode
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Sync Mode
-      zh_Hans: 同步模式
-    human_description:
-      en_US: >
-        If set to true, the function will wait for the image to be generated and uploaded before returning the response.
-        This will increase the latency but allows you to get the image directly in the response without going through the CDN.
-      zh_Hans: >
-        如果设置为 true，函数将在生成并上传图像后才返回响应。
-        这将增加延迟，但允许您直接在响应中获取图像，而无需通过 CDN。
-    form: form
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py b/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py
deleted file mode 100644
index b44d9fe752..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class Flux1DevTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "Authorization": f"Key {self.runtime.credentials['fal_api_key']}",
-            "Content-Type": "application/json",
-        }
-
-        prompt = tool_parameters.get("prompt", "")
-        sanitized_prompt = prompt.replace("\\", "")  # Remove backslashes from the prompt which may cause errors
-
-        payload = {
-            "prompt": sanitized_prompt,
-            "image_size": tool_parameters.get("image_size", "landscape_4_3"),
-            "num_inference_steps": tool_parameters.get("num_inference_steps", 28),
-            "guidance_scale": tool_parameters.get("guidance_scale", 3.5),
-            "seed": tool_parameters.get("seed"),
-            "num_images": tool_parameters.get("num_images", 1),
-            "enable_safety_checker": tool_parameters.get("enable_safety_checker", True),
-            "sync_mode": tool_parameters.get("sync_mode", False),
-        }
-
-        url = "https://fal.run/fal-ai/flux/dev"
-
-        response = requests.post(url, json=payload, headers=headers)
-
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response: {response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-
-        for image_info in res.get("images", []):
-            image_url = image_info.get("url")
-            if image_url:
-                result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value))
-
-        return result
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml
deleted file mode 100644
index 3b22af941f..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml
+++ /dev/null
@@ -1,137 +0,0 @@
-identity:
-  name: flux_1_dev
-  author: Kalo Chin
-  label:
-    en_US: FLUX.1 [dev]
-    zh_Hans: FLUX.1 [dev]
-  icon: icon.svg
-description:
-  human:
-    en_US: FLUX.1 [dev] is a 12 billion parameter flow transformer that generates high-quality images from text. It is suitable for personal and commercial use.
-    zh_Hans: FLUX.1 [dev] 是一个拥有120亿参数的流动变换模型，可以从文本生成高质量的图像。适用于个人和商业用途。
-  llm: This tool generates images from prompts using FAL's FLUX.1 [dev] model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 用于生成图片的文字提示词。
-    llm_description: This prompt text will be used to generate the image.
-    form: llm
-  - name: image_size
-    type: select
-    required: false
-    options:
-      - value: square_hd
-        label:
-          en_US: Square HD
-          zh_Hans: 方形高清
-      - value: square
-        label:
-          en_US: Square
-          zh_Hans: 方形
-      - value: portrait_4_3
-        label:
-          en_US: Portrait 4:3
-          zh_Hans: 竖屏 4:3
-      - value: portrait_16_9
-        label:
-          en_US: Portrait 16:9
-          zh_Hans: 竖屏 16:9
-      - value: landscape_4_3
-        label:
-          en_US: Landscape 4:3
-          zh_Hans: 横屏 4:3
-      - value: landscape_16_9
-        label:
-          en_US: Landscape 16:9
-          zh_Hans: 横屏 16:9
-    default: landscape_4_3
-    label:
-      en_US: Image Size
-      zh_Hans: 图片大小
-    human_description:
-      en_US: The size of the generated image.
-      zh_Hans: 生成图像的尺寸。
-    form: form
-  - name: num_images
-    type: number
-    required: false
-    default: 1
-    min: 1
-    max: 4
-    label:
-      en_US: Number of Images
-      zh_Hans: 图片数量
-    human_description:
-      en_US: The number of images to generate.
-      zh_Hans: 要生成的图片数量。
-    form: form
-  - name: num_inference_steps
-    type: number
-    required: false
-    default: 28
-    min: 1
-    max: 50
-    label:
-      en_US: Num Inference Steps
-      zh_Hans: 推理步数
-    human_description:
-      en_US: The number of inference steps to perform. More steps produce higher quality but take longer.
-      zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。
-    form: form
-  - name: guidance_scale
-    type: number
-    required: false
-    default: 3.5
-    min: 0
-    max: 20
-    label:
-      en_US: Guidance Scale
-      zh_Hans: 指导强度
-    human_description:
-      en_US: How closely the model should follow the prompt.
-      zh_Hans: 模型对提示词的遵循程度。
-    form: form
-  - name: seed
-    type: number
-    required: false
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示可以产生相似的图像。
-    form: form
-  - name: enable_safety_checker
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Enable Safety Checker
-      zh_Hans: 启用安全检查器
-    human_description:
-      en_US: Enable or disable the safety checker.
-      zh_Hans: 启用或禁用安全检查器。
-    form: form
-  - name: sync_mode
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Sync Mode
-      zh_Hans: 同步模式
-    human_description:
-      en_US: >
-        If set to true, the function will wait for the image to be generated and uploaded before returning the response.
-        This will increase the latency but allows you to get the image directly in the response without going through the CDN.
-      zh_Hans: >
-        如果设置为 true，函数将在生成并上传图像后再返回响应。
-        这将增加函数的延迟，但可以让您直接在响应中获取图像，而无需通过 CDN。
-    form: form
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py b/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py
deleted file mode 100644
index be60366155..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class Flux1ProNewTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "Authorization": f"Key {self.runtime.credentials['fal_api_key']}",
-            "Content-Type": "application/json",
-        }
-
-        prompt = tool_parameters.get("prompt", "")
-        sanitized_prompt = prompt.replace("\\", "")  # Remove backslashes that may cause errors
-
-        payload = {
-            "prompt": sanitized_prompt,
-            "image_size": tool_parameters.get("image_size", "landscape_4_3"),
-            "num_inference_steps": tool_parameters.get("num_inference_steps", 28),
-            "guidance_scale": tool_parameters.get("guidance_scale", 3.5),
-            "seed": tool_parameters.get("seed"),
-            "num_images": tool_parameters.get("num_images", 1),
-            "safety_tolerance": tool_parameters.get("safety_tolerance", "2"),
-            "sync_mode": tool_parameters.get("sync_mode", False),
-        }
-
-        url = "https://fal.run/fal-ai/flux-pro/new"
-
-        response = requests.post(url, json=payload, headers=headers)
-
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response: {response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-
-        for image_info in res.get("images", []):
-            image_url = image_info.get("url")
-            if image_url:
-                result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value))
-
-        return result
diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml
deleted file mode 100644
index 6f8dbb3a54..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml
+++ /dev/null
@@ -1,164 +0,0 @@
-identity:
-  name: flux_1_pro_new
-  author: Kalo Chin
-  label:
-    en_US: FLUX.1 [pro] new
-    zh_Hans: FLUX.1 [pro] new
-  icon: icon.svg
-description:
-  human:
-    en_US: FLUX.1 [pro] new is an accelerated version of FLUX.1 [pro], maintaining professional-grade image quality while delivering significantly faster generation speeds.
-    zh_Hans: FLUX.1 [pro] new 是 FLUX.1 [pro] 的加速版本，在保持专业级图像质量的同时，大大提高了生成速度。
-  llm: This tool generates images from prompts using FAL's FLUX.1 [pro] new model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 用于生成图像的文本提示。
-    llm_description: This prompt text will be used to generate the image.
-    form: llm
-  - name: image_size
-    type: select
-    required: false
-    options:
-      - value: square_hd
-        label:
-          en_US: Square HD
-          zh_Hans: 正方形高清
-      - value: square
-        label:
-          en_US: Square
-          zh_Hans: 正方形
-      - value: portrait_4_3
-        label:
-          en_US: Portrait 4:3
-          zh_Hans: 竖屏 4:3
-      - value: portrait_16_9
-        label:
-          en_US: Portrait 16:9
-          zh_Hans: 竖屏 16:9
-      - value: landscape_4_3
-        label:
-          en_US: Landscape 4:3
-          zh_Hans: 横屏 4:3
-      - value: landscape_16_9
-        label:
-          en_US: Landscape 16:9
-          zh_Hans: 横屏 16:9
-    default: landscape_4_3
-    label:
-      en_US: Image Size
-      zh_Hans: 图像尺寸
-    human_description:
-      en_US: The size of the generated image.
-      zh_Hans: 生成图像的尺寸。
-    form: form
-  - name: num_images
-    type: number
-    required: false
-    default: 1
-    min: 1
-    max: 1
-    label:
-      en_US: Number of Images
-      zh_Hans: 图像数量
-    human_description:
-      en_US: The number of images to generate.
-      zh_Hans: 要生成的图像数量。
-    form: form
-  - name: num_inference_steps
-    type: number
-    required: false
-    default: 28
-    min: 1
-    max: 50
-    label:
-      en_US: Num Inference Steps
-      zh_Hans: 推理步数
-    human_description:
-      en_US: The number of inference steps to perform. More steps produce higher quality but take longer.
-      zh_Hans: 执行的推理步数。步数越多，质量越高，但所需时间也更长。
-    form: form
-  - name: guidance_scale
-    type: number
-    required: false
-    default: 3.5
-    min: 0
-    max: 20
-    label:
-      en_US: Guidance Scale
-      zh_Hans: 指导强度
-    human_description:
-      en_US: How closely the model should follow the prompt.
-      zh_Hans: 模型对提示词的遵循程度。
-    form: form
-  - name: safety_tolerance
-    type: select
-    required: false
-    options:
-      - value: "1"
-        label:
-          en_US: "1 (Most strict)"
-          zh_Hans: "1（最严格）"
-      - value: "2"
-        label:
-          en_US: "2"
-          zh_Hans: "2"
-      - value: "3"
-        label:
-          en_US: "3"
-          zh_Hans: "3"
-      - value: "4"
-        label:
-          en_US: "4"
-          zh_Hans: "4"
-      - value: "5"
-        label:
-          en_US: "5"
-          zh_Hans: "5"
-      - value: "6"
-        label:
-          en_US: "6 (Most permissive)"
-          zh_Hans: "6（最宽松）"
-    default: "2"
-    label:
-      en_US: Safety Tolerance
-      zh_Hans: 安全容忍度
-    human_description:
-      en_US: >
-        The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive.
-      zh_Hans: >
-        生成图像的安全容忍级别。1 是最严格，6 是最宽松。
-    form: form
-  - name: seed
-    type: number
-    required: false
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示词可以生成相似的图像。
-    form: form
-  - name: sync_mode
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Sync Mode
-      zh_Hans: 同步模式
-    human_description:
-      en_US: >
-        If set to true, the function will wait for the image to be generated and uploaded before returning the response.
-        This will increase the latency but allows you to get the image directly in the response without going through the CDN.
-      zh_Hans: >
-        如果设置为 true，函数将在生成并上传图像后才返回响应。
-        这将增加延迟，但允许您直接在响应中获取图像，而无需通过 CDN。
-    form: form
diff --git a/api/core/tools/provider/builtin/fal/tools/wizper.py b/api/core/tools/provider/builtin/fal/tools/wizper.py
deleted file mode 100644
index ba05a62073..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/wizper.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import io
-import os
-from typing import Any
-
-import fal_client
-
-from core.file.enums import FileAttribute, FileType
-from core.file.file_manager import download, get_attr
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class WizperTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        audio_file = tool_parameters.get("audio_file")
-        task = tool_parameters.get("task", "transcribe")
-        language = tool_parameters.get("language", "en")
-        chunk_level = tool_parameters.get("chunk_level", "segment")
-        version = tool_parameters.get("version", "3")
-
-        if audio_file.type != FileType.AUDIO:
-            return self.create_text_message("Not a valid audio file.")
-
-        api_key = self.runtime.credentials["fal_api_key"]
-
-        os.environ["FAL_KEY"] = api_key
-
-        audio_binary = io.BytesIO(download(audio_file))
-        mime_type = get_attr(file=audio_file, attr=FileAttribute.MIME_TYPE)
-        file_data = audio_binary.getvalue()
-
-        try:
-            audio_url = fal_client.upload(file_data, mime_type)
-        except Exception as e:
-            return self.create_text_message(f"Error uploading audio file: {str(e)}")
-
-        arguments = {
-            "audio_url": audio_url,
-            "task": task,
-            "language": language,
-            "chunk_level": chunk_level,
-            "version": version,
-        }
-
-        result = fal_client.subscribe(
-            "fal-ai/wizper",
-            arguments=arguments,
-            with_logs=False,
-        )
-
-        json_message = self.create_json_message(result)
-
-        text = result.get("text", "")
-        text_message = self.create_text_message(text)
-
-        return [json_message, text_message]
diff --git a/api/core/tools/provider/builtin/fal/tools/wizper.yaml b/api/core/tools/provider/builtin/fal/tools/wizper.yaml
deleted file mode 100644
index 5742efcc1b..0000000000
--- a/api/core/tools/provider/builtin/fal/tools/wizper.yaml
+++ /dev/null
@@ -1,489 +0,0 @@
-identity:
-  name: wizper
-  author: Kalo Chin
-  label:
-    en_US: Wizper
-    zh_Hans: Wizper
-description:
-  human:
-    en_US: Transcribe an audio file using the Whisper model.
-    zh_Hans: 使用 Whisper 模型转录音频文件。
-  llm: Transcribe an audio file using the Whisper model.
-parameters:
-  - name: audio_file
-    type: file
-    required: true
-    label:
-      en_US: Audio File
-      zh_Hans: 音频文件
-    human_description:
-      en_US: "Upload an audio file to transcribe. Supports mp3, mp4, mpeg, mpga, m4a, wav, or webm formats."
-      zh_Hans: "上传要转录的音频文件。支持 mp3、mp4、mpeg、mpga、m4a、wav 或 webm 格式。"
-    llm_description: "Audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm."
-    form: llm
-  - name: task
-    type: select
-    required: true
-    label:
-      en_US: Task
-      zh_Hans: 任务
-    human_description:
-      en_US: "Choose whether to transcribe the audio in its original language or translate it to English"
-      zh_Hans: "选择是以原始语言转录音频还是将其翻译成英语"
-    llm_description: "Task to perform on the audio file. Either transcribe or translate. Default value: 'transcribe'. If 'translate' is selected as the task, the audio will be translated to English, regardless of the language selected."
-    form: form
-    default: transcribe
-    options:
-      - value: transcribe
-        label:
-          en_US: Transcribe
-          zh_Hans: 转录
-      - value: translate
-        label:
-          en_US: Translate
-          zh_Hans: 翻译
-  - name: language
-    type: select
-    required: true
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: "Select the primary language spoken in the audio file"
-      zh_Hans: "选择音频文件中使用的主要语言"
-    llm_description: "Language of the audio file."
-    form: form
-    default: en
-    options:
-      - value: af
-        label:
-          en_US: Afrikaans
-          zh_Hans: 南非语
-      - value: am
-        label:
-          en_US: Amharic
-          zh_Hans: 阿姆哈拉语
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: as
-        label:
-          en_US: Assamese
-          zh_Hans: 阿萨姆语
-      - value: az
-        label:
-          en_US: Azerbaijani
-          zh_Hans: 阿塞拜疆语
-      - value: ba
-        label:
-          en_US: Bashkir
-          zh_Hans: 巴什基尔语
-      - value: be
-        label:
-          en_US: Belarusian
-          zh_Hans: 白俄罗斯语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: bn
-        label:
-          en_US: Bengali
-          zh_Hans: 孟加拉语
-      - value: bo
-        label:
-          en_US: Tibetan
-          zh_Hans: 藏语
-      - value: br
-        label:
-          en_US: Breton
-          zh_Hans: 布列塔尼语
-      - value: bs
-        label:
-          en_US: Bosnian
-          zh_Hans: 波斯尼亚语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: cy
-        label:
-          en_US: Welsh
-          zh_Hans: 威尔士语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: eu
-        label:
-          en_US: Basque
-          zh_Hans: 巴斯克语
-      - value: fa
-        label:
-          en_US: Persian
-          zh_Hans: 波斯语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fo
-        label:
-          en_US: Faroese
-          zh_Hans: 法罗语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: gl
-        label:
-          en_US: Galician
-          zh_Hans: 加利西亚语
-      - value: gu
-        label:
-          en_US: Gujarati
-          zh_Hans: 古吉拉特语
-      - value: ha
-        label:
-          en_US: Hausa
-          zh_Hans: 毫萨语
-      - value: haw
-        label:
-          en_US: Hawaiian
-          zh_Hans: 夏威夷语
-      - value: he
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hr
-        label:
-          en_US: Croatian
-          zh_Hans: 克罗地亚语
-      - value: ht
-        label:
-          en_US: Haitian Creole
-          zh_Hans: 海地克里奥尔语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: hy
-        label:
-          en_US: Armenian
-          zh_Hans: 亚美尼亚语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印度尼西亚语
-      - value: is
-        label:
-          en_US: Icelandic
-          zh_Hans: 冰岛语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: jw
-        label:
-          en_US: Javanese
-          zh_Hans: 爪哇语
-      - value: ka
-        label:
-          en_US: Georgian
-          zh_Hans: 格鲁吉亚语
-      - value: kk
-        label:
-          en_US: Kazakh
-          zh_Hans: 哈萨克语
-      - value: km
-        label:
-          en_US: Khmer
-          zh_Hans: 高棉语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: la
-        label:
-          en_US: Latin
-          zh_Hans: 拉丁语
-      - value: lb
-        label:
-          en_US: Luxembourgish
-          zh_Hans: 卢森堡语
-      - value: ln
-        label:
-          en_US: Lingala
-          zh_Hans: 林加拉语
-      - value: lo
-        label:
-          en_US: Lao
-          zh_Hans: 老挝语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: mg
-        label:
-          en_US: Malagasy
-          zh_Hans: 马尔加什语
-      - value: mi
-        label:
-          en_US: Maori
-          zh_Hans: 毛利语
-      - value: mk
-        label:
-          en_US: Macedonian
-          zh_Hans: 马其顿语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mn
-        label:
-          en_US: Mongolian
-          zh_Hans: 蒙古语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: ms
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: mt
-        label:
-          en_US: Maltese
-          zh_Hans: 马耳他语
-      - value: my
-        label:
-          en_US: Burmese
-          zh_Hans: 缅甸语
-      - value: ne
-        label:
-          en_US: Nepali
-          zh_Hans: 尼泊尔语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: nn
-        label:
-          en_US: Norwegian Nynorsk
-          zh_Hans: 新挪威语
-      - value: no
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: oc
-        label:
-          en_US: Occitan
-          zh_Hans: 奥克语
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: ps
-        label:
-          en_US: Pashto
-          zh_Hans: 普什图语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: sa
-        label:
-          en_US: Sanskrit
-          zh_Hans: 梵语
-      - value: sd
-        label:
-          en_US: Sindhi
-          zh_Hans: 信德语
-      - value: si
-        label:
-          en_US: Sinhala
-          zh_Hans: 僧伽罗语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: sn
-        label:
-          en_US: Shona
-          zh_Hans: 修纳语
-      - value: so
-        label:
-          en_US: Somali
-          zh_Hans: 索马里语
-      - value: sq
-        label:
-          en_US: Albanian
-          zh_Hans: 阿尔巴尼亚语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: su
-        label:
-          en_US: Sundanese
-          zh_Hans: 巽他语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: sw
-        label:
-          en_US: Swahili
-          zh_Hans: 斯瓦希里语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: tg
-        label:
-          en_US: Tajik
-          zh_Hans: 塔吉克语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: tk
-        label:
-          en_US: Turkmen
-          zh_Hans: 土库曼语
-      - value: tl
-        label:
-          en_US: Tagalog
-          zh_Hans: 他加禄语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: tt
-        label:
-          en_US: Tatar
-          zh_Hans: 鞑靼语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: ur
-        label:
-          en_US: Urdu
-          zh_Hans: 乌尔都语
-      - value: uz
-        label:
-          en_US: Uzbek
-          zh_Hans: 乌兹别克语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-      - value: yi
-        label:
-          en_US: Yiddish
-          zh_Hans: 意第绪语
-      - value: yo
-        label:
-          en_US: Yoruba
-          zh_Hans: 约鲁巴语
-      - value: yue
-        label:
-          en_US: Cantonese
-          zh_Hans: 粤语
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
-  - name: chunk_level
-    type: select
-    label:
-      en_US: Chunk Level
-      zh_Hans: 分块级别
-    human_description:
-      en_US: "Choose how the transcription should be divided into chunks"
-      zh_Hans: "选择如何将转录内容分成块"
-    llm_description: "Level of the chunks to return."
-    form: form
-    default: segment
-    options:
-      - value: segment
-        label:
-          en_US: Segment
-          zh_Hans: 段
-  - name: version
-    type: select
-    label:
-      en_US: Version
-      zh_Hans: 版本
-    human_description:
-      en_US: "Select which version of the Whisper large model to use"
-      zh_Hans: "选择要使用的 Whisper large 模型版本"
-    llm_description: "Version of the model to use. All of the models are the Whisper large variant."
-    form: form
-    default: "3"
-    options:
-      - value: "3"
-        label:
-          en_US: Version 3
-          zh_Hans: 版本 3
diff --git a/api/core/tools/provider/builtin/feishu/_assets/icon.svg b/api/core/tools/provider/builtin/feishu/_assets/icon.svg
deleted file mode 100644
index bf3c202abf..0000000000
--- a/api/core/tools/provider/builtin/feishu/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1711946937387" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5208" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M262.339048 243.809524h326.070857s91.672381 84.504381 91.672381 200.655238l-152.81981 105.569524S445.781333 359.960381 262.339048 243.809524z" fill="#00DAB8" p-id="5209"></path><path d="M853.333333 423.350857s-112.103619-42.276571-183.393523-10.581333c-71.338667 31.695238-101.912381 73.923048-132.486096 105.618286-40.71619 42.22781-112.054857 116.150857-173.202285 73.923047-61.147429-42.276571 244.540952 147.846095 244.540952 147.846095s127.463619-71.631238 173.202286-190.122666C822.759619 444.464762 853.333333 423.350857 853.333333 423.350857z" fill="#0C3AA0" p-id="5210"></path><path d="M170.666667 402.236952v316.757334s112.298667 138.142476 376.978285 63.390476c112.103619-31.695238 203.824762-179.541333 203.824762-179.541333S618.934857 824.612571 170.666667 402.285714z" fill="#296DFF" p-id="5211"></path></svg>
diff --git a/api/core/tools/provider/builtin/feishu/feishu.py b/api/core/tools/provider/builtin/feishu/feishu.py
deleted file mode 100644
index 72a9333619..0000000000
--- a/api/core/tools/provider/builtin/feishu/feishu.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin.feishu.tools.feishu_group_bot import FeishuGroupBotTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class FeishuProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        FeishuGroupBotTool()
diff --git a/api/core/tools/provider/builtin/feishu/feishu.yaml b/api/core/tools/provider/builtin/feishu/feishu.yaml
deleted file mode 100644
index a029c7edb8..0000000000
--- a/api/core/tools/provider/builtin/feishu/feishu.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-identity:
-  author: Arkii Sun
-  name: feishu
-  label:
-    en_US: Feishu
-    zh_Hans: 飞书
-    pt_BR: Feishu
-  description:
-    en_US: Feishu group bot
-    zh_Hans: 飞书群机器人
-    pt_BR: Feishu group bot
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py b/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py
deleted file mode 100644
index e82da8ca53..0000000000
--- a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.uuid_utils import is_valid_uuid
-
-
-class FeishuGroupBotTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        API document: https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot
-        """
-
-        url = "https://open.feishu.cn/open-apis/bot/v2/hook"
-
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        hook_key = tool_parameters.get("hook_key", "")
-        if not is_valid_uuid(hook_key):
-            return self.create_text_message(f"Invalid parameter hook_key ${hook_key}, not a valid UUID")
-
-        msg_type = "text"
-        api_url = f"{url}/{hook_key}"
-        headers = {
-            "Content-Type": "application/json",
-        }
-        params = {}
-        payload = {
-            "msg_type": msg_type,
-            "content": {
-                "text": content,
-            },
-        }
-
-        try:
-            res = httpx.post(api_url, headers=headers, params=params, json=payload)
-            if res.is_success:
-                return self.create_text_message("Text message sent successfully")
-            else:
-                return self.create_text_message(
-                    f"Failed to send the text message, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to send message to group chat bot. {}".format(e))
diff --git a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml b/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml
deleted file mode 100644
index 6c3f084e4d..0000000000
--- a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  name: feishu_group_bot
-  author: Arkii Sun
-  label:
-    en_US: Send Group Message
-    zh_Hans: 发送群消息
-    pt_BR: Send Group Message
-  icon: icon.png
-description:
-  human:
-    en_US: Sending a group message on Feishu via the webhook of group bot
-    zh_Hans: 通过飞书的群机器人webhook发送群消息
-    pt_BR: Sending a group message on Feishu via the webhook of group bot
-  llm: A tool for sending messages to a chat group on Feishu(飞书) .
-parameters:
-  - name: hook_key
-    type: secret-input
-    required: true
-    label:
-      en_US: Feishu Group bot webhook key
-      zh_Hans: 群机器人webhook的key
-      pt_BR: Feishu Group bot webhook key
-    human_description:
-      en_US: Feishu Group bot webhook key
-      zh_Hans: 群机器人webhook的key
-      pt_BR: Feishu Group bot webhook key
-    form: form
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-      pt_BR: content
-    human_description:
-      en_US: Content to sent to the group.
-      zh_Hans: 群消息文本
-      pt_BR: Content to sent to the group.
-    llm_description: Content of the message
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/_assets/icon.png b/api/core/tools/provider/builtin/feishu_base/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/feishu_base/feishu_base.py b/api/core/tools/provider/builtin/feishu_base/feishu_base.py
deleted file mode 100644
index f301ec5355..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/feishu_base.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuBaseProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_base/feishu_base.yaml b/api/core/tools/provider/builtin/feishu_base/feishu_base.yaml
deleted file mode 100644
index 456dd8c88f..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/feishu_base.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_base
-  label:
-    en_US: Feishu Base
-    zh_Hans: 飞书多维表格
-  description:
-    en_US: |
-      Feishu base, requires the following permissions: bitable:app.
-    zh_Hans: |
-      飞书多维表格，需要开通以下权限: bitable:app。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/add_records.py b/api/core/tools/provider/builtin/feishu_base/tools/add_records.py
deleted file mode 100644
index 905f8b7880..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/add_records.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class AddRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        records = tool_parameters.get("records")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.add_records(app_token, table_id, table_name, records, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml
deleted file mode 100644
index f2a93490dc..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-identity:
-  name: add_records
-  author: Doug Lea
-  label:
-    en_US: Add Records
-    zh_Hans: 新增多条记录
-description:
-  human:
-    en_US: Add Multiple Records to Multidimensional Table
-    zh_Hans: 在多维表格数据表中新增多条记录
-  llm: A tool for adding multiple records to a multidimensional table. (在多维表格数据表中新增多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: records
-    type: string
-    required: true
-    label:
-      en_US: records
-      zh_Hans: 记录列表
-    human_description:
-      en_US: |
-        List of records to be added in this request. Example value: [{"multi-line-text":"text content","single_select":"option 1","date":1674206443000}]
-        For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure).
-      zh_Hans: |
-        本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。
-        当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    llm_description: |
-      本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。
-      当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_base.py b/api/core/tools/provider/builtin/feishu_base/tools/create_base.py
deleted file mode 100644
index f074acc5ff..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/create_base.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateBaseTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        name = tool_parameters.get("name")
-        folder_token = tool_parameters.get("folder_token")
-
-        res = client.create_base(name, folder_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml b/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml
deleted file mode 100644
index 3ec91a90e7..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-identity:
-  name: create_base
-  author: Doug Lea
-  label:
-    en_US: Create Base
-    zh_Hans: 创建多维表格
-description:
-  human:
-    en_US: Create Multidimensional Table in Specified Directory
-    zh_Hans: 在指定目录下创建多维表格
-  llm: A tool for creating a multidimensional table in a specified directory. (在指定目录下创建多维表格)
-parameters:
-  - name: name
-    type: string
-    required: false
-    label:
-      en_US: name
-      zh_Hans: 多维表格 App 名字
-    human_description:
-      en_US: |
-        Name of the multidimensional table App. Example value: "A new multidimensional table".
-      zh_Hans: 多维表格 App 名字，示例值："一篇新的多维表格"。
-    llm_description: 多维表格 App 名字，示例值："一篇新的多维表格"。
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: folder_token
-      zh_Hans: 多维表格 App 归属文件夹
-    human_description:
-      en_US: |
-        Folder where the multidimensional table App belongs. Default is empty, meaning the table will be created in the root directory of the cloud space. Example values: Fa3sfoAgDlMZCcdcJy1cDFg8nJc or https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc.
-        The folder_token must be an existing folder and supports inputting folder token or folder URL.
-      zh_Hans: |
-        多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Fa3sfoAgDlMZCcdcJy1cDFg8nJc 或者 https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc。
-        folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。
-    llm_description: |
-      多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Fa3sfoAgDlMZCcdcJy1cDFg8nJc 或者 https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc。
-      folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_table.py b/api/core/tools/provider/builtin/feishu_base/tools/create_table.py
deleted file mode 100644
index 81f2617545..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/create_table.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateTableTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_name = tool_parameters.get("table_name")
-        default_view_name = tool_parameters.get("default_view_name")
-        fields = tool_parameters.get("fields")
-
-        res = client.create_table(app_token, table_name, default_view_name, fields)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml b/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml
deleted file mode 100644
index 8b1007b9a5..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-identity:
-  name: create_table
-  author: Doug Lea
-  label:
-    en_US: Create Table
-    zh_Hans: 新增数据表
-description:
-  human:
-    en_US: Add a Data Table to Multidimensional Table
-    zh_Hans: 在多维表格中新增一个数据表
-  llm: A tool for adding a data table to a multidimensional table. (在多维表格中新增一个数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: true
-    label:
-      en_US: Table Name
-      zh_Hans: 数据表名称
-    human_description:
-      en_US: |
-        The name of the data table, length range: 1 character to 100 characters.
-      zh_Hans: 数据表名称，长度范围：1 字符 ～ 100 字符。
-    llm_description: 数据表名称，长度范围：1 字符 ～ 100 字符。
-    form: llm
-
-  - name: default_view_name
-    type: string
-    required: false
-    label:
-      en_US: Default View Name
-      zh_Hans: 默认表格视图的名称
-    human_description:
-      en_US: The name of the default table view, defaults to "Table" if not filled.
-      zh_Hans: 默认表格视图的名称，不填则默认为"表格"。
-    llm_description: 默认表格视图的名称，不填则默认为"表格"。
-    form: llm
-
-  - name: fields
-    type: string
-    required: true
-    label:
-      en_US: Initial Fields
-      zh_Hans: 初始字段
-    human_description:
-      en_US: |
-        Initial fields of the data table, format: [ { "field_name": "Multi-line Text","type": 1 },{ "field_name": "Number","type": 2 },{ "field_name": "Single Select","type": 3 },{ "field_name": "Multiple Select","type": 4 },{ "field_name": "Date","type": 5 } ]. For field details, refer to: https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-      zh_Hans: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-    llm_description: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py b/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py
deleted file mode 100644
index c896a2c81b..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class DeleteRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        record_ids = tool_parameters.get("record_ids")
-
-        res = client.delete_records(app_token, table_id, table_name, record_ids)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml
deleted file mode 100644
index c30ebd630c..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-identity:
-  name: delete_records
-  author: Doug Lea
-  label:
-    en_US: Delete Records
-    zh_Hans: 删除多条记录
-description:
-  human:
-    en_US: Delete Multiple Records from Multidimensional Table
-    zh_Hans: 删除多维表格数据表中的多条记录
-  llm: A tool for deleting multiple records from a multidimensional table. (删除多维表格数据表中的多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: record_ids
-    type: string
-    required: true
-    label:
-      en_US: Record IDs
-      zh_Hans: 记录 ID 列表
-    human_description:
-      en_US: |
-        List of IDs for the records to be deleted, example value: ["recwNXzPQv"].
-      zh_Hans: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。
-    llm_description: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py b/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py
deleted file mode 100644
index f732a16da6..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class DeleteTablesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_ids = tool_parameters.get("table_ids")
-        table_names = tool_parameters.get("table_names")
-
-        res = client.delete_tables(app_token, table_ids, table_names)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml b/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml
deleted file mode 100644
index 498126eae5..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-identity:
-  name: delete_tables
-  author: Doug Lea
-  label:
-    en_US: Delete Tables
-    zh_Hans: 删除数据表
-description:
-  human:
-    en_US: Batch Delete Data Tables from Multidimensional Table
-    zh_Hans: 批量删除多维表格中的数据表
-  llm: A tool for batch deleting data tables from a multidimensional table. (批量删除多维表格中的数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_ids
-    type: string
-    required: false
-    label:
-      en_US: Table IDs
-      zh_Hans: 数据表 ID
-    human_description:
-      en_US: |
-        IDs of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["tbl1TkhyTWDkSoZ3"]. Ensure that either table_ids or table_names is not empty.
-      zh_Hans: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。
-    llm_description: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。
-    form: llm
-
-  - name: table_names
-    type: string
-    required: false
-    label:
-      en_US: Table Names
-      zh_Hans: 数据表名称
-    human_description:
-      en_US: |
-        Names of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["Table1", "Table2"]. Ensure that either table_names or table_ids is not empty.
-      zh_Hans: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。
-    llm_description: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py b/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py
deleted file mode 100644
index a74e9be288..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetBaseInfoTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-
-        res = client.get_base_info(app_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml b/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml
deleted file mode 100644
index eb0e7a26c0..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: get_base_info
-  author: Doug Lea
-  label:
-    en_US: Get Base Info
-    zh_Hans: 获取多维表格元数据
-description:
-  human:
-    en_US: Get Metadata Information of Specified Multidimensional Table
-    zh_Hans: 获取指定多维表格的元数据信息
-  llm: A tool for getting metadata information of a specified multidimensional table. (获取指定多维表格的元数据信息)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py b/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py
deleted file mode 100644
index c7768a496d..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ListTablesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        page_token = tool_parameters.get("page_token")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.list_tables(app_token, page_token, page_size)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml b/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml
deleted file mode 100644
index 7571519039..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml
+++ /dev/null
@@ -1,50 +0,0 @@
-identity:
-  name: list_tables
-  author: Doug Lea
-  label:
-    en_US: List Tables
-    zh_Hans: 列出数据表
-description:
-  human:
-    en_US: Get All Data Tables under Multidimensional Table
-    zh_Hans: 获取多维表格下的所有数据表
-  llm: A tool for getting all data tables under a multidimensional table. (获取多维表格下的所有数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: |
-        Page size, default value: 20, maximum value: 100.
-      zh_Hans: 分页大小，默认值：20，最大值：100。
-    llm_description: 分页大小，默认值：20，最大值：100。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: |
-        Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW".
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/read_records.py b/api/core/tools/provider/builtin/feishu_base/tools/read_records.py
deleted file mode 100644
index 46f3df4ff0..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/read_records.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ReadRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        record_ids = tool_parameters.get("record_ids")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_records(app_token, table_id, table_name, record_ids, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml
deleted file mode 100644
index 911e667cfc..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-identity:
-  name: read_records
-  author: Doug Lea
-  label:
-    en_US: Read Records
-    zh_Hans: 批量获取记录
-description:
-  human:
-    en_US: Batch Retrieve Records from Multidimensional Table
-    zh_Hans: 批量获取多维表格数据表中的记录信息
-  llm: A tool for batch retrieving records from a multidimensional table, supporting up to 100 records per call. (批量获取多维表格数据表中的记录信息，单次调用最多支持查询 100 条记录)
-
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: record_ids
-    type: string
-    required: true
-    label:
-      en_US: record_ids
-      zh_Hans: 记录 ID 列表
-    human_description:
-      en_US: List of record IDs, which can be obtained by calling the "Query Records API".
-      zh_Hans: 记录 ID 列表，可以通过调用"查询记录接口"获取。
-    llm_description: 记录 ID 列表，可以通过调用"查询记录接口"获取。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/search_records.py b/api/core/tools/provider/builtin/feishu_base/tools/search_records.py
deleted file mode 100644
index d58b42b820..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/search_records.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class SearchRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token", "")
-        table_id = tool_parameters.get("table_id", "")
-        table_name = tool_parameters.get("table_name", "")
-        view_id = tool_parameters.get("view_id", "")
-        field_names = tool_parameters.get("field_names", "")
-        sort = tool_parameters.get("sort", "")
-        filters = tool_parameters.get("filter", "")
-        page_token = tool_parameters.get("page_token", "")
-        automatic_fields = tool_parameters.get("automatic_fields", False)
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.search_record(
-            app_token,
-            table_id,
-            table_name,
-            view_id,
-            field_names,
-            sort,
-            filters,
-            page_token,
-            automatic_fields,
-            user_id_type,
-            page_size,
-        )
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml
deleted file mode 100644
index decf76d53e..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml
+++ /dev/null
@@ -1,163 +0,0 @@
-identity:
-  name: search_records
-  author: Doug Lea
-  label:
-    en_US: Search Records
-    zh_Hans: 查询记录
-description:
-  human:
-    en_US: Query records in a multidimensional table, up to 500 rows per query.
-    zh_Hans: 查询多维表格数据表中的记录，单次最多查询 500 行记录。
-  llm: A tool for querying records in a multidimensional table, up to 500 rows per query. (查询多维表格数据表中的记录，单次最多查询 500 行记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: view_id
-    type: string
-    required: false
-    label:
-      en_US: view_id
-      zh_Hans: 视图唯一标识
-    human_description:
-      en_US: |
-        Unique identifier for a view in a multidimensional table. It can be found in the URL's query parameter with the key 'view'. For example: https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx.
-      zh_Hans: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx。
-    llm_description: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx。
-    form: llm
-
-  - name: field_names
-    type: string
-    required: false
-    label:
-      en_US: field_names
-      zh_Hans: 字段名称
-    human_description:
-      en_US: |
-        Field names to specify which fields to include in the returned records. Example value: ["Field1", "Field2"].
-      zh_Hans: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。
-    llm_description: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。
-    form: llm
-
-  - name: sort
-    type: string
-    required: false
-    label:
-      en_US: sort
-      zh_Hans: 排序条件
-    human_description:
-      en_US: |
-        Sorting conditions, for example: [{"field_name":"Multiline Text","desc":true}].
-      zh_Hans: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。
-    llm_description: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。
-    form: llm
-
-  - name: filter
-    type: string
-    required: false
-    label:
-      en_US: filter
-      zh_Hans: 筛选条件
-    human_description:
-      en_US: Object containing filter information. For details on how to fill in the filter, refer to the record filter parameter guide (https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide).
-      zh_Hans: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。
-    llm_description: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。
-    form: llm
-
-  - name: automatic_fields
-    type: boolean
-    required: false
-    label:
-      en_US: automatic_fields
-      zh_Hans: automatic_fields
-    human_description:
-      en_US: Whether to return automatically calculated fields. Default is false, meaning they are not returned.
-      zh_Hans: 是否返回自动计算的字段。默认为 false，表示不返回。
-    llm_description: 是否返回自动计算的字段。默认为 false，表示不返回。
-    form: form
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: |
-        Page size, default value: 20, maximum value: 500.
-      zh_Hans: 分页大小，默认值：20，最大值：500。
-    llm_description: 分页大小，默认值：20，最大值：500。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: |
-        Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW".
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/update_records.py b/api/core/tools/provider/builtin/feishu_base/tools/update_records.py
deleted file mode 100644
index 31cf8e18d8..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/update_records.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class UpdateRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token", "")
-        table_id = tool_parameters.get("table_id", "")
-        table_name = tool_parameters.get("table_name", "")
-        records = tool_parameters.get("records", "")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.update_records(app_token, table_id, table_name, records, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml
deleted file mode 100644
index 68117e7136..0000000000
--- a/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-identity:
-  name: update_records
-  author: Doug Lea
-  label:
-    en_US: Update Records
-    zh_Hans: 更新多条记录
-description:
-  human:
-    en_US: Update Multiple Records in Multidimensional Table
-    zh_Hans: 更新多维表格数据表中的多条记录
-  llm: A tool for updating multiple records in a multidimensional table. (更新多维表格数据表中的多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: records
-    type: string
-    required: true
-    label:
-      en_US: records
-      zh_Hans: 记录列表
-    human_description:
-      en_US: |
-        List of records to be updated in this request. Example value: [{"fields":{"multi-line-text":"text content","single_select":"option 1","date":1674206443000},"record_id":"recupK4f4RM5RX"}].
-        For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure).
-      zh_Hans: |
-        本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。
-        当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    llm_description: |
-      本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。
-      当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_calendar/_assets/icon.png b/api/core/tools/provider/builtin/feishu_calendar/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py b/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py
deleted file mode 100644
index a46a9fa9e8..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuCalendarProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml b/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml
deleted file mode 100644
index db5bab5c10..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_calendar
-  label:
-    en_US: Feishu Calendar
-    zh_Hans: 飞书日历
-  description:
-    en_US: |
-      Feishu calendar, requires the following permissions: calendar:calendar:read、calendar:calendar、contact:user.id:readonly.
-    zh_Hans: |
-      飞书日历，需要开通以下权限: calendar:calendar:read、calendar:calendar、contact:user.id:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py b/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py
deleted file mode 100644
index 80287feca1..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class AddEventAttendeesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id", "")
-        attendee_phone_or_email = tool_parameters.get("attendee_phone_or_email", "")
-        need_notification = tool_parameters.get("need_notification", True)
-
-        res = client.add_event_attendees(event_id, attendee_phone_or_email, need_notification)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml
deleted file mode 100644
index b7744499b0..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-identity:
-  name: add_event_attendees
-  author: Doug Lea
-  label:
-    en_US: Add Event Attendees
-    zh_Hans: 添加日程参会人
-description:
-  human:
-    en_US: Add Event Attendees
-    zh_Hans: 添加日程参会人
-  llm: A tool for adding attendees to events in Feishu. (在飞书中添加日程参会人)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, which will be returned when the event is created. For example: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0.
-      zh_Hans: |
-        创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。
-    llm_description: |
-      日程 ID，创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否需要通知
-    human_description:
-      en_US: |
-        Whether to send a Bot notification to attendees. true: send, false: do not send.
-      zh_Hans: |
-        是否给参与人发送 Bot 通知，true: 发送，false: 不发送。
-    llm_description: |
-      是否给参与人发送 Bot 通知，true: 发送，false: 不发送。
-    form: form
-
-  - name: attendee_phone_or_email
-    type: string
-    required: true
-    label:
-      en_US: Attendee Phone or Email
-      zh_Hans: 参会人电话或邮箱
-    human_description:
-      en_US: The list of attendee emails or phone numbers, separated by commas.
-      zh_Hans: 日程参会人邮箱或者手机号列表，使用逗号分隔。
-    llm_description: 日程参会人邮箱或者手机号列表，使用逗号分隔。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py
deleted file mode 100644
index 8820bebdbe..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        summary = tool_parameters.get("summary")
-        description = tool_parameters.get("description")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        attendee_ability = tool_parameters.get("attendee_ability")
-        need_notification = tool_parameters.get("need_notification", True)
-        auto_record = tool_parameters.get("auto_record", False)
-
-        res = client.create_event(
-            summary, description, start_time, end_time, attendee_ability, need_notification, auto_record
-        )
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml
deleted file mode 100644
index f0784221ce..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml
+++ /dev/null
@@ -1,119 +0,0 @@
-identity:
-  name: create_event
-  author: Doug Lea
-  label:
-    en_US: Create Event
-    zh_Hans: 创建日程
-description:
-  human:
-    en_US: Create Event
-    zh_Hans: 创建日程
-  llm: A tool for creating events in Feishu.(创建飞书日程)
-parameters:
-  - name: summary
-    type: string
-    required: false
-    label:
-      en_US: Summary
-      zh_Hans: 日程标题
-    human_description:
-      en_US: The title of the event. If not filled, the event title will display (No Subject).
-      zh_Hans: 日程标题，若不填则日程标题显示 (无主题)。
-    llm_description: 日程标题，若不填则日程标题显示 (无主题)。
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Description
-      zh_Hans: 日程描述
-    human_description:
-      en_US: The description of the event.
-      zh_Hans: 日程描述。
-    llm_description: 日程描述。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否发送通知
-    human_description:
-      en_US: |
-        Whether to send a bot message when the event is created, true: send, false: do not send.
-      zh_Hans: 创建日程时是否发送 bot 消息，true：发送，false：不发送。
-    llm_description: 创建日程时是否发送 bot 消息，true：发送，false：不发送。
-    form: form
-
-  - name: start_time
-    type: string
-    required: true
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程开始时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: true
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程结束时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: attendee_ability
-    type: select
-    required: false
-    options:
-      - value: none
-        label:
-          en_US: none
-          zh_Hans: 无
-      - value: can_see_others
-        label:
-          en_US: can_see_others
-          zh_Hans: 可以查看参与人列表
-      - value: can_invite_others
-        label:
-          en_US: can_invite_others
-          zh_Hans: 可以邀请其它参与人
-      - value: can_modify_event
-        label:
-          en_US: can_modify_event
-          zh_Hans: 可以编辑日程
-    default: "none"
-    label:
-      en_US: attendee_ability
-      zh_Hans: 参会人权限
-    human_description:
-      en_US: Attendee ability, optional values are none, can_see_others, can_invite_others, can_modify_event, with a default value of none.
-      zh_Hans: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。
-    llm_description: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。
-    form: form
-
-  - name: auto_record
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Auto Record
-      zh_Hans: 自动录制
-    human_description:
-      en_US: |
-        Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled.
-      zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py
deleted file mode 100644
index 02e9b44521..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class DeleteEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id", "")
-        need_notification = tool_parameters.get("need_notification", True)
-
-        res = client.delete_event(event_id, need_notification)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml
deleted file mode 100644
index 54fdb04acc..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: delete_event
-  author: Doug Lea
-  label:
-    en_US: Delete Event
-    zh_Hans: 删除日程
-description:
-  human:
-    en_US: Delete Event
-    zh_Hans: 删除日程
-  llm: A tool for deleting events in Feishu.(在飞书中删除日程)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0.
-      zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否需要通知
-    human_description:
-      en_US: |
-        Indicates whether to send bot notifications to event participants upon deletion. true: send, false: do not send.
-      zh_Hans: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。
-    llm_description: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py b/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py
deleted file mode 100644
index 4dafe4b3ba..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetPrimaryCalendarTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.get_primary_calendar(user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml
deleted file mode 100644
index 3440c85d4a..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-identity:
-  name: get_primary_calendar
-  author: Doug Lea
-  label:
-    en_US: Get Primary Calendar
-    zh_Hans: 查询主日历信息
-description:
-  human:
-    en_US: Get Primary Calendar
-    zh_Hans: 查询主日历信息
-  llm: A tool for querying primary calendar information in Feishu.(在飞书中查询主日历信息)
-parameters:
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py b/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py
deleted file mode 100644
index 2e8ca968b3..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ListEventsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        start_time = tool_parameters.get("start_time", "")
-        end_time = tool_parameters.get("end_time", "")
-        page_token = tool_parameters.get("page_token", "")
-        page_size = tool_parameters.get("page_size", 50)
-
-        res = client.list_events(start_time, end_time, page_token, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml
deleted file mode 100644
index 5f0155a246..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-identity:
-  name: list_events
-  author: Doug Lea
-  label:
-    en_US: List Events
-    zh_Hans: 获取日程列表
-description:
-  human:
-    en_US: List Events
-    zh_Hans: 获取日程列表
-  llm: A tool for listing events in Feishu.(在飞书中获取日程列表)
-parameters:
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 50
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 50, and the value range is [50,1000].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py b/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py
deleted file mode 100644
index dc365205a4..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class SearchEventsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        query = tool_parameters.get("query")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        page_token = tool_parameters.get("page_token")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.search_events(query, start_time, end_time, page_token, user_id_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml
deleted file mode 100644
index bd60a07b5b..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml
+++ /dev/null
@@ -1,100 +0,0 @@
-identity:
-  name: search_events
-  author: Doug Lea
-  label:
-    en_US: Search Events
-    zh_Hans: 搜索日程
-description:
-  human:
-    en_US: Search Events
-    zh_Hans: 搜索日程
-  llm: A tool for searching events in Feishu.(在飞书中搜索日程)
-parameters:
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 搜索关键字
-    human_description:
-      en_US: The search keyword used for fuzzy searching event names, with a maximum input of 200 characters.
-      zh_Hans: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。
-    llm_description: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [10,100].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py
deleted file mode 100644
index b20eb6c318..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class UpdateEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id", "")
-        summary = tool_parameters.get("summary", "")
-        description = tool_parameters.get("description", "")
-        need_notification = tool_parameters.get("need_notification", True)
-        start_time = tool_parameters.get("start_time", "")
-        end_time = tool_parameters.get("end_time", "")
-        auto_record = tool_parameters.get("auto_record", False)
-
-        res = client.update_event(event_id, summary, description, need_notification, start_time, end_time, auto_record)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml
deleted file mode 100644
index 4d60dbf8c8..0000000000
--- a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml
+++ /dev/null
@@ -1,100 +0,0 @@
-identity:
-  name: update_event
-  author: Doug Lea
-  label:
-    en_US: Update Event
-    zh_Hans: 更新日程
-description:
-  human:
-    en_US: Update Event
-    zh_Hans: 更新日程
-  llm: A tool for updating events in Feishu.(更新飞书中的日程)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0.
-      zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    form: llm
-
-  - name: summary
-    type: string
-    required: false
-    label:
-      en_US: Summary
-      zh_Hans: 日程标题
-    human_description:
-      en_US: The title of the event.
-      zh_Hans: 日程标题。
-    llm_description: 日程标题。
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Description
-      zh_Hans: 日程描述
-    human_description:
-      en_US: The description of the event.
-      zh_Hans: 日程描述。
-    llm_description: 日程描述。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否发送通知
-    human_description:
-      en_US: |
-        Whether to send a bot message when the event is updated, true: send, false: do not send.
-      zh_Hans: 更新日程时是否发送 bot 消息，true：发送，false：不发送。
-    llm_description: 更新日程时是否发送 bot 消息，true：发送，false：不发送。
-    form: form
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程开始时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程结束时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: auto_record
-    type: boolean
-    required: false
-    label:
-      en_US: Auto Record
-      zh_Hans: 自动录制
-    human_description:
-      en_US: |
-        Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled.
-      zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg
deleted file mode 100644
index 5a0a6416b3..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg xmlns="http://www.w3.org/2000/svg" version="1.1" width="64px" height="64px" style="shape-rendering:geometricPrecision; text-rendering:geometricPrecision; image-rendering:optimizeQuality; fill-rule:evenodd; clip-rule:evenodd" xmlns:xlink="http://www.w3.org/1999/xlink">
-<g><path style="opacity:1" fill="#fefefe" d="M -0.5,-0.5 C 20.8333,-0.5 42.1667,-0.5 63.5,-0.5C 63.5,20.8333 63.5,42.1667 63.5,63.5C 42.1667,63.5 20.8333,63.5 -0.5,63.5C -0.5,42.1667 -0.5,20.8333 -0.5,-0.5 Z"/></g>
-<g><path style="opacity:1" fill="#346df3" d="M 47.5,33.5 C 43.3272,29.8779 38.9939,29.7112 34.5,33C 32.682,35.4897 30.3487,37.3231 27.5,38.5C 23.5003,43.5136 24.167,47.847 29.5,51.5C 24.1563,51.666 18.8229,51.4994 13.5,51C 13,50.5 12.5,50 12,49.5C 11.3333,36.8333 11.3333,24.1667 12,11.5C 12.5,11 13,10.5 13.5,10C 24.1667,9.33333 34.8333,9.33333 45.5,10C 46,10.5 46.5,11 47,11.5C 47.4997,18.8258 47.6663,26.1591 47.5,33.5 Z"/></g>
-<g><path style="opacity:1" fill="#f9fafe" d="M 20.5,19.5 C 25.1785,19.3342 29.8452,19.5008 34.5,20C 35.8333,21 35.8333,22 34.5,23C 29.8333,23.6667 25.1667,23.6667 20.5,23C 19.3157,21.8545 19.3157,20.6879 20.5,19.5 Z"/></g>
-<g><path style="opacity:1" fill="#f3f6fe" d="M 20.5,27.5 C 22.5273,27.3379 24.5273,27.5045 26.5,28C 27.8333,29 27.8333,30 26.5,31C 24.5,31.6667 22.5,31.6667 20.5,31C 19.3157,29.8545 19.3157,28.6879 20.5,27.5 Z"/></g>
-<g><path style="opacity:1" fill="#36d4c1" d="M 47.5,33.5 C 48.7298,35.2972 49.3964,37.2972 49.5,39.5C 51.3904,39.2965 52.8904,39.9632 54,41.5C 55.1825,45.2739 54.3492,48.4406 51.5,51C 44.1742,51.4997 36.8409,51.6663 29.5,51.5C 24.167,47.847 23.5003,43.5136 27.5,38.5C 30.3487,37.3231 32.682,35.4897 34.5,33C 38.9939,29.7112 43.3272,29.8779 47.5,33.5 Z"/></g>
-</svg>
diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.py b/api/core/tools/provider/builtin/feishu_document/feishu_document.py
deleted file mode 100644
index 217ae52082..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/feishu_document.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuDocumentProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml b/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml
deleted file mode 100644
index 8f9afa6149..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_document
-  label:
-    en_US: Lark Cloud Document
-    zh_Hans: 飞书云文档
-  description:
-    en_US: |
-      Lark cloud document, requires the following permissions: docx:document、drive:drive、docs:document.content:read.
-    zh_Hans: |
-      飞书云文档，需要开通以下权限: docx:document、drive:drive、docs:document.content:read。
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.py b/api/core/tools/provider/builtin/feishu_document/tools/create_document.py
deleted file mode 100644
index 1533f59417..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/create_document.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateDocumentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        title = tool_parameters.get("title", "")
-        content = tool_parameters.get("content", "")
-        folder_token = tool_parameters.get("folder_token", "")
-
-        res = client.create_document(title, content, folder_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml
deleted file mode 100644
index 85382e9d8e..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-identity:
-  name: create_document
-  author: Doug Lea
-  label:
-    en_US: Create Lark document
-    zh_Hans: 创建飞书文档
-description:
-  human:
-    en_US: Create Lark document
-    zh_Hans: 创建飞书文档，支持创建空文档和带内容的文档，支持 markdown 语法创建。应用需要开启机器人能力(https://open.feishu.cn/document/faq/trouble-shooting/how-to-enable-bot-ability)。
-  llm: A tool for creating Feishu documents.
-parameters:
-  - name: title
-    type: string
-    required: false
-    label:
-      en_US: Document title
-      zh_Hans: 文档标题
-    human_description:
-      en_US: Document title, only supports plain text content.
-      zh_Hans: 文档标题，只支持纯文本内容。
-    llm_description: 文档标题，只支持纯文本内容，可以为空。
-    form: llm
-
-  - name: content
-    type: string
-    required: false
-    label:
-      en_US: Document content
-      zh_Hans: 文档内容
-    human_description:
-      en_US: Document content, supports markdown syntax, can be empty.
-      zh_Hans: 文档内容，支持 markdown 语法，可以为空。
-    llm_description: 文档内容，支持 markdown 语法，可以为空。
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: folder_token
-      zh_Hans: 文档所在文件夹的 Token
-    human_description:
-      en_US: |
-        The token of the folder where the document is located. If it is not passed or is empty, it means the root directory. For Example: https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf
-      zh_Hans: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf。
-    llm_description: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py b/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py
deleted file mode 100644
index e67a017fac..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetDocumentRawContentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id")
-        mode = tool_parameters.get("mode", "markdown")
-        lang = tool_parameters.get("lang", "0")
-
-        res = client.get_document_content(document_id, mode, lang)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml b/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml
deleted file mode 100644
index 15e827cde9..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml
+++ /dev/null
@@ -1,70 +0,0 @@
-identity:
-  name: get_document_content
-  author: Doug Lea
-  label:
-    en_US: Get Document Content
-    zh_Hans: 获取飞书云文档的内容
-description:
-  human:
-    en_US: Get document content
-    zh_Hans: 获取飞书云文档的内容
-  llm: A tool for retrieving content from Feishu cloud documents.
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: 飞书文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Feishu document. You can also input the document's URL.
-      zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。
-    llm_description: 飞书文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: mode
-    type: select
-    required: false
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: text
-      - value: markdown
-        label:
-          en_US: markdown
-          zh_Hans: markdown
-    default: "markdown"
-    label:
-      en_US: mode
-      zh_Hans: 文档返回格式
-    human_description:
-      en_US: Format of the document return, optional values are text, markdown, can be empty, default is markdown.
-      zh_Hans: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。
-    llm_description: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。
-    form: form
-
-  - name: lang
-    type: select
-    required: false
-    options:
-      - value: "0"
-        label:
-          en_US: User's default name
-          zh_Hans: 用户的默认名称
-      - value: "1"
-        label:
-          en_US: User's English name
-          zh_Hans: 用户的英文名称
-    default: "0"
-    label:
-      en_US: lang
-      zh_Hans: 指定@用户的语言
-    human_description:
-      en_US: |
-        Specifies the language for MentionUser, optional values are [0, 1]. 0: User's default name, 1: User's English name, default is 0.
-      zh_Hans: |
-        指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。
-    llm_description: |
-      指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py b/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py
deleted file mode 100644
index 8ea68a2ed8..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ListDocumentBlockTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        if not self.runtime or not self.runtime.credentials:
-            raise ValueError("Runtime is not set")
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        if not app_id or not app_secret:
-            raise ValueError("app_id and app_secret are required")
-        client = FeishuRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id", "")
-        page_token = tool_parameters.get("page_token", "")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 500)
-
-        res = client.list_document_blocks(document_id, page_token, user_id_type, page_size)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml b/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml
deleted file mode 100644
index d4fab96c1f..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-identity:
-  name: list_document_blocks
-  author: Doug Lea
-  label:
-    en_US: List Document Blocks
-    zh_Hans: 获取飞书文档所有块
-description:
-  human:
-    en_US: List document blocks
-    zh_Hans: 获取飞书文档所有块的富文本内容并分页返回
-  llm: A tool to get all blocks of Feishu documents
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: 飞书文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Feishu document. You can also input the document's URL.
-      zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。
-    llm_description: 飞书文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 500
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: Paging size, the default and maximum value is 500.
-      zh_Hans: 分页大小, 默认值和最大值为 500。
-    llm_description: 分页大小, 表示一次请求最多返回多少条数据，默认值和最大值为 500。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: Pagination token used to navigate through query results, allowing retrieval of additional items in subsequent requests.
-      zh_Hans: 分页标记，用于分页查询结果，以便下次遍历时获取更多项。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.py b/api/core/tools/provider/builtin/feishu_document/tools/write_document.py
deleted file mode 100644
index 59f08f53dc..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/write_document.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateDocumentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id")
-        content = tool_parameters.get("content")
-        position = tool_parameters.get("position", "end")
-
-        res = client.write_document(document_id, content, position)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml
deleted file mode 100644
index de70f4e772..0000000000
--- a/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml
+++ /dev/null
@@ -1,57 +0,0 @@
-identity:
-  name: write_document
-  author: Doug Lea
-  label:
-    en_US: Write Document
-    zh_Hans: 在飞书文档中新增内容
-description:
-  human:
-    en_US: Adding new content to Lark documents
-    zh_Hans: 在飞书文档中新增内容
-  llm: A tool for adding new content to Lark documents.
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: 飞书文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Feishu document. You can also input the document's URL.
-      zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。
-    llm_description: 飞书文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: Plain text or Markdown content
-      zh_Hans: 纯文本或 Markdown 内容
-    human_description:
-      en_US: Plain text or Markdown content. Note that embedded tables in the document should not have merged cells.
-      zh_Hans: 纯文本或 Markdown 内容。注意文档的内嵌套表格不允许有单元格合并。
-    llm_description: 纯文本或 Markdown 内容，注意文档的内嵌套表格不允许有单元格合并。
-    form: llm
-
-  - name: position
-    type: select
-    required: false
-    options:
-      - value: start
-        label:
-          en_US: document start
-          zh_Hans: 文档开始
-      - value: end
-        label:
-          en_US: document end
-          zh_Hans: 文档结束
-    default: "end"
-    label:
-      en_US: position
-      zh_Hans: 内容添加位置
-    human_description:
-      en_US: Content insertion position, optional values are start, end. 'start' means adding content at the beginning of the document; 'end' means adding content at the end of the document. The default value is end.
-      zh_Hans: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。
-    llm_description: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg
deleted file mode 100644
index 222a1571f9..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg
+++ /dev/null
@@ -1,19 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.py b/api/core/tools/provider/builtin/feishu_message/feishu_message.py
deleted file mode 100644
index a3b5473769..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/feishu_message.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuMessageProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml b/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml
deleted file mode 100644
index 56683ec168..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_message
-  label:
-    en_US: Lark Message
-    zh_Hans: 飞书消息
-  description:
-    en_US: |
-      Lark message, requires the following permissions: im:message、im:message.group_msg.
-    zh_Hans: |
-      飞书消息，需要开通以下权限: im:message、im:message.group_msg。
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py b/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py
deleted file mode 100644
index 7eb29230b2..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetChatMessagesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        container_id = tool_parameters.get("container_id")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        page_token = tool_parameters.get("page_token")
-        sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.get_chat_messages(container_id, start_time, end_time, page_token, sort_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml b/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml
deleted file mode 100644
index 984c9120e8..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml
+++ /dev/null
@@ -1,96 +0,0 @@
-identity:
-  name: get_chat_messages
-  author: Doug Lea
-  label:
-    en_US: Get Chat Messages
-    zh_Hans: 获取指定单聊、群聊的消息历史
-description:
-  human:
-    en_US: Get Chat Messages
-    zh_Hans: 获取指定单聊、群聊的消息历史
-  llm: A tool for getting chat messages from specific one-on-one chats or group chats.(获取指定单聊、群聊的消息历史)
-parameters:
-  - name: container_id
-    type: string
-    required: true
-    label:
-      en_US: Container Id
-      zh_Hans: 群聊或单聊的 ID
-    human_description:
-      en_US: The ID of the group chat or single chat. Refer to the group ID description for how to obtain it. https://open.feishu.cn/document/server-docs/group/chat/chat-id-description
-      zh_Hans: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.feishu.cn/document/server-docs/group/chat/chat-id-description
-    llm_description: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.feishu.cn/document/server-docs/group/chat/chat-id-description
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 起始时间
-    human_description:
-      en_US: The start time for querying historical messages, formatted as "2006-01-02 15:04:05".
-      zh_Hans: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。
-    llm_description: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: The end time for querying historical messages, formatted as "2006-01-02 15:04:05".
-      zh_Hans: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。
-    llm_description: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。
-    form: llm
-
-  - name: sort_type
-    type: select
-    required: false
-    options:
-      - value: ByCreateTimeAsc
-        label:
-          en_US: ByCreateTimeAsc
-          zh_Hans: ByCreateTimeAsc
-      - value: ByCreateTimeDesc
-        label:
-          en_US: ByCreateTimeDesc
-          zh_Hans: ByCreateTimeDesc
-    default: "ByCreateTimeAsc"
-    label:
-      en_US: Sort Type
-      zh_Hans: 排序方式
-    human_description:
-      en_US: |
-        The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway.
-      zh_Hans: |
-        消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py b/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py
deleted file mode 100644
index 3b14f46e00..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetChatMessagesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        container_id = tool_parameters.get("container_id")
-        page_token = tool_parameters.get("page_token")
-        sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.get_thread_messages(container_id, page_token, sort_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml b/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml
deleted file mode 100644
index 85a138292f..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: get_thread_messages
-  author: Doug Lea
-  label:
-    en_US: Get Thread Messages
-    zh_Hans: 获取指定话题的消息历史
-description:
-  human:
-    en_US: Get Thread Messages
-    zh_Hans: 获取指定话题的消息历史
-  llm: A tool for getting chat messages from specific threads.(获取指定话题的消息历史)
-parameters:
-  - name: container_id
-    type: string
-    required: true
-    label:
-      en_US: Thread Id
-      zh_Hans: 话题 ID
-    human_description:
-      en_US: The ID of the thread. Refer to the thread overview on how to obtain the thread_id. https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-      zh_Hans: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-    llm_description: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-    form: llm
-
-  - name: sort_type
-    type: select
-    required: false
-    options:
-      - value: ByCreateTimeAsc
-        label:
-          en_US: ByCreateTimeAsc
-          zh_Hans: ByCreateTimeAsc
-      - value: ByCreateTimeDesc
-        label:
-          en_US: ByCreateTimeDesc
-          zh_Hans: ByCreateTimeDesc
-    default: "ByCreateTimeAsc"
-    label:
-      en_US: Sort Type
-      zh_Hans: 排序方式
-    human_description:
-      en_US: |
-        The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway.
-      zh_Hans: |
-        消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py
deleted file mode 100644
index 1dd315d0e2..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class SendBotMessageTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        receive_id_type = tool_parameters.get("receive_id_type")
-        receive_id = tool_parameters.get("receive_id")
-        msg_type = tool_parameters.get("msg_type")
-        content = tool_parameters.get("content")
-
-        res = client.send_bot_message(receive_id_type, receive_id, msg_type, content)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml
deleted file mode 100644
index 4f7f65a8a7..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml
+++ /dev/null
@@ -1,125 +0,0 @@
-identity:
-  name: send_bot_message
-  author: Doug Lea
-  label:
-    en_US: Send Bot Message
-    zh_Hans: 发送飞书应用消息
-description:
-  human:
-    en_US: Send bot message
-    zh_Hans: 发送飞书应用消息
-  llm: A tool for sending Feishu application messages.
-parameters:
-  - name: receive_id
-    type: string
-    required: true
-    label:
-      en_US: receive_id
-      zh_Hans: 消息接收者的 ID
-    human_description:
-      en_US: The ID of the message receiver, the ID type is consistent with the value of the query parameter receive_id_type.
-      zh_Hans: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。
-    llm_description: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。
-    form: llm
-
-  - name: receive_id_type
-    type: select
-    required: true
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-      - value: email
-        label:
-          en_US: email
-          zh_Hans: email
-      - value: chat_id
-        label:
-          en_US: chat_id
-          zh_Hans: chat_id
-    label:
-      en_US: receive_id_type
-      zh_Hans: 消息接收者的 ID 类型
-    human_description:
-      en_US: The ID type of the message receiver, optional values are open_id, union_id, user_id, email, chat_id, with a default value of open_id.
-      zh_Hans: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。
-    llm_description: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。
-    form: form
-
-  - name: msg_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: interactive
-        label:
-          en_US: interactive
-          zh_Hans: 卡片
-      - value: post
-        label:
-          en_US: post
-          zh_Hans: 富文本
-      - value: image
-        label:
-          en_US: image
-          zh_Hans: 图片
-      - value: file
-        label:
-          en_US: file
-          zh_Hans: 文件
-      - value: audio
-        label:
-          en_US: audio
-          zh_Hans: 语音
-      - value: media
-        label:
-          en_US: media
-          zh_Hans: 视频
-      - value: sticker
-        label:
-          en_US: sticker
-          zh_Hans: 表情包
-      - value: share_chat
-        label:
-          en_US: share_chat
-          zh_Hans: 分享群名片
-      - value: share_user
-        label:
-          en_US: share_user
-          zh_Hans: 分享个人名片
-      - value: system
-        label:
-          en_US: system
-          zh_Hans: 系统消息
-    label:
-      en_US: msg_type
-      zh_Hans: 消息类型
-    human_description:
-      en_US: Message type. Optional values are text, post, image, file, audio, media, sticker, interactive, share_chat, share_user, system. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: form
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-    human_description:
-      en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py
deleted file mode 100644
index 44e70e0a15..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class SendWebhookMessageTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        webhook = tool_parameters.get("webhook")
-        msg_type = tool_parameters.get("msg_type")
-        content = tool_parameters.get("content")
-
-        res = client.send_webhook_message(webhook, msg_type, content)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml
deleted file mode 100644
index eeeae8b29c..0000000000
--- a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml
+++ /dev/null
@@ -1,68 +0,0 @@
-identity:
-  name: send_webhook_message
-  author: Doug Lea
-  label:
-    en_US: Send Webhook Message
-    zh_Hans: 使用自定义机器人发送飞书消息
-description:
-  human:
-    en_US: Send webhook message
-    zh_Hans: 使用自定义机器人发送飞书消息
-  llm: A tool for sending Lark messages using a custom robot.
-parameters:
-  - name: webhook
-    type: string
-    required: true
-    label:
-      en_US: webhook
-      zh_Hans: webhook
-    human_description:
-      en_US: |
-        The address of the webhook, the format of the webhook address corresponding to the bot is as follows: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx. For details, please refer to: Feishu Custom Bot Usage Guide(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot)
-      zh_Hans: |
-        webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: 飞书自定义机器人使用指南(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot)
-    llm_description: |
-      webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: 飞书自定义机器人使用指南(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot)
-    form: llm
-
-  - name: msg_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: interactive
-        label:
-          en_US: interactive
-          zh_Hans: 卡片
-      - value: image
-        label:
-          en_US: image
-          zh_Hans: 图片
-      - value: share_chat
-        label:
-          en_US: share_chat
-          zh_Hans: 分享群名片
-    label:
-      en_US: msg_type
-      zh_Hans: 消息类型
-    human_description:
-      en_US: Message type. Optional values are text, image, interactive, share_chat. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: form
-
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-    human_description:
-      en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/_assets/icon.png b/api/core/tools/provider/builtin/feishu_spreadsheet/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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e^8bzLQ2*ztuUWBv%zNP5C*%^w(uiz`yZ<i?3E!pw

diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.py b/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.py
deleted file mode 100644
index a3b5473769..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuMessageProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml
deleted file mode 100644
index 29e448d730..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_spreadsheet
-  label:
-    en_US: Feishu Spreadsheet
-    zh_Hans: 飞书电子表格
-  description:
-    en_US: |
-      Feishu Spreadsheet, requires the following permissions: sheets:spreadsheet.
-    zh_Hans: |
-      飞书电子表格，需要开通以下权限: sheets:spreadsheet。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py
deleted file mode 100644
index 44d062f9bd..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class AddColsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        length = tool_parameters.get("length")
-        values = tool_parameters.get("values")
-
-        res = client.add_cols(spreadsheet_token, sheet_id, sheet_name, length, values)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml
deleted file mode 100644
index b73335f405..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: add_cols
-  author: Doug Lea
-  label:
-    en_US: Add Cols
-    zh_Hans: 新增多列至工作表最后
-description:
-  human:
-    en_US: Add Cols
-    zh_Hans: 新增多列至工作表最后
-  llm: A tool for adding multiple columns to the end of a spreadsheet. (新增多列至工作表最后)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: length
-    type: number
-    required: true
-    label:
-      en_US: length
-      zh_Hans: 要增加的列数
-    human_description:
-      en_US: Number of columns to add, range (0-5000].
-      zh_Hans: 要增加的列数，范围(0-5000]。
-    llm_description: 要增加的列数，范围(0-5000]。
-    form: form
-
-  - name: values
-    type: string
-    required: false
-    label:
-      en_US: values
-      zh_Hans: 新增列的单元格内容
-    human_description:
-      en_US: |
-        Content of the new columns, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ].
-      zh_Hans: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    llm_description: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py
deleted file mode 100644
index 3a85b7b46c..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class AddRowsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        length = tool_parameters.get("length")
-        values = tool_parameters.get("values")
-
-        res = client.add_rows(spreadsheet_token, sheet_id, sheet_name, length, values)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml
deleted file mode 100644
index 6bce305b98..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: add_rows
-  author: Doug Lea
-  label:
-    en_US: Add Rows
-    zh_Hans: 新增多行至工作表最后
-description:
-  human:
-    en_US: Add Rows
-    zh_Hans: 新增多行至工作表最后
-  llm: A tool for adding multiple rows to the end of a spreadsheet. (新增多行至工作表最后)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: length
-    type: number
-    required: true
-    label:
-      en_US: length
-      zh_Hans: 要增加行数
-    human_description:
-      en_US: Number of rows to add, range (0-5000].
-      zh_Hans: 要增加行数，范围(0-5000]。
-    llm_description: 要增加行数，范围(0-5000]。
-    form: form
-
-  - name: values
-    type: string
-    required: false
-    label:
-      en_US: values
-      zh_Hans: 新增行的表格内容
-    human_description:
-      en_US: |
-        Content of the new rows, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ].
-      zh_Hans: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    llm_description: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py
deleted file mode 100644
index 647364fab0..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateSpreadsheetTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        title = tool_parameters.get("title")
-        folder_token = tool_parameters.get("folder_token")
-
-        res = client.create_spreadsheet(title, folder_token)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml
deleted file mode 100644
index 931310e631..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-identity:
-  name: create_spreadsheet
-  author: Doug Lea
-  label:
-    en_US: Create Spreadsheet
-    zh_Hans: 创建电子表格
-description:
-  human:
-    en_US: Create Spreadsheet
-    zh_Hans: 创建电子表格
-  llm: A tool for creating spreadsheets. (创建电子表格)
-parameters:
-  - name: title
-    type: string
-    required: false
-    label:
-      en_US: Spreadsheet Title
-      zh_Hans: 电子表格标题
-    human_description:
-      en_US: The title of the spreadsheet
-      zh_Hans: 电子表格的标题
-    llm_description: 电子表格的标题
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: Folder Token
-      zh_Hans: 文件夹 token
-    human_description:
-      en_US: The token of the folder, supports folder URL input, e.g., https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-      zh_Hans: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-    llm_description: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py
deleted file mode 100644
index dda8c59daf..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetSpreadsheetTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.get_spreadsheet(spreadsheet_token, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml
deleted file mode 100644
index c519938617..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-identity:
-  name: get_spreadsheet
-  author: Doug Lea
-  label:
-    en_US: Get Spreadsheet
-    zh_Hans: 获取电子表格信息
-description:
-  human:
-    en_US: Get Spreadsheet
-    zh_Hans: 获取电子表格信息
-  llm: A tool for getting information from spreadsheets. (获取电子表格信息)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: Spreadsheet Token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 URL。
-    llm_description: 电子表格 token，支持输入电子表格 URL。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py
deleted file mode 100644
index 98497791c0..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ListSpreadsheetSheetsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-
-        res = client.list_spreadsheet_sheets(spreadsheet_token)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml
deleted file mode 100644
index c6a7ef45d4..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: list_spreadsheet_sheets
-  author: Doug Lea
-  label:
-    en_US: List Spreadsheet Sheets
-    zh_Hans: 列出电子表格所有工作表
-description:
-  human:
-    en_US: List Spreadsheet Sheets
-    zh_Hans: 列出电子表格所有工作表
-  llm: A tool for listing all sheets in a spreadsheet. (列出电子表格所有工作表)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: Spreadsheet Token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 URL。
-    llm_description: 电子表格 token，支持输入电子表格 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py
deleted file mode 100644
index ebe3f619d0..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ReadColsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        start_col = tool_parameters.get("start_col")
-        num_cols = tool_parameters.get("num_cols")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_cols(spreadsheet_token, sheet_id, sheet_name, start_col, num_cols, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml
deleted file mode 100644
index 34da74592d..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml
+++ /dev/null
@@ -1,97 +0,0 @@
-identity:
-  name: read_cols
-  author: Doug Lea
-  label:
-    en_US: Read Cols
-    zh_Hans: 读取工作表列数据
-description:
-  human:
-    en_US: Read Cols
-    zh_Hans: 读取工作表列数据
-  llm: A tool for reading column data from a spreadsheet. (读取工作表列数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_col
-    type: number
-    required: false
-    label:
-      en_US: start_col
-      zh_Hans: 起始列号
-    human_description:
-      en_US: Starting column number, starting from 1.
-      zh_Hans: 起始列号，从 1 开始。
-    llm_description: 起始列号，从 1 开始。
-    form: form
-
-  - name: num_cols
-    type: number
-    required: true
-    label:
-      en_US: num_cols
-      zh_Hans: 读取列数
-    human_description:
-      en_US: Number of columns to read.
-      zh_Hans: 读取列数
-    llm_description: 读取列数
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py
deleted file mode 100644
index 86b91b104b..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ReadRowsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        start_row = tool_parameters.get("start_row")
-        num_rows = tool_parameters.get("num_rows")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_rows(spreadsheet_token, sheet_id, sheet_name, start_row, num_rows, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml
deleted file mode 100644
index 5dfa8d5835..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml
+++ /dev/null
@@ -1,97 +0,0 @@
-identity:
-  name: read_rows
-  author: Doug Lea
-  label:
-    en_US: Read Rows
-    zh_Hans: 读取工作表行数据
-description:
-  human:
-    en_US: Read Rows
-    zh_Hans: 读取工作表行数据
-  llm: A tool for reading row data from a spreadsheet. (读取工作表行数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_row
-    type: number
-    required: false
-    label:
-      en_US: start_row
-      zh_Hans: 起始行号
-    human_description:
-      en_US: Starting row number, starting from 1.
-      zh_Hans: 起始行号，从 1 开始。
-    llm_description: 起始行号，从 1 开始。
-    form: form
-
-  - name: num_rows
-    type: number
-    required: true
-    label:
-      en_US: num_rows
-      zh_Hans: 读取行数
-    human_description:
-      en_US: Number of rows to read.
-      zh_Hans: 读取行数
-    llm_description: 读取行数
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py
deleted file mode 100644
index ddd607d878..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class ReadTableTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        num_range = tool_parameters.get("num_range")
-        query = tool_parameters.get("query")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_table(spreadsheet_token, sheet_id, sheet_name, num_range, query, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml
deleted file mode 100644
index 10534436d6..0000000000
--- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml
+++ /dev/null
@@ -1,122 +0,0 @@
-identity:
-  name: read_table
-  author: Doug Lea
-  label:
-    en_US: Read Table
-    zh_Hans: 自定义读取电子表格行列数据
-description:
-  human:
-    en_US: Read Table
-    zh_Hans: 自定义读取电子表格行列数据
-  llm: A tool for custom reading of row and column data from a spreadsheet. (自定义读取电子表格行列数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_row
-    type: number
-    required: false
-    label:
-      en_US: start_row
-      zh_Hans: 起始行号
-    human_description:
-      en_US: Starting row number, starting from 1.
-      zh_Hans: 起始行号，从 1 开始。
-    llm_description: 起始行号，从 1 开始。
-    form: form
-
-  - name: num_rows
-    type: number
-    required: false
-    label:
-      en_US: num_rows
-      zh_Hans: 读取行数
-    human_description:
-      en_US: Number of rows to read.
-      zh_Hans: 读取行数
-    llm_description: 读取行数
-    form: form
-
-  - name: range
-    type: string
-    required: false
-    label:
-      en_US: range
-      zh_Hans: 取数范围
-    human_description:
-      en_US: |
-        Data range, format like: A1:B2, can be empty when query=all.
-      zh_Hans: 取数范围,格式如:A1:B2，query=all 时可为空。
-    llm_description: 取数范围,格式如:A1:B2，query=all 时可为空。
-    form: llm
-
-  - name: query
-    type: string
-    required: false
-    label:
-      en_US: query
-      zh_Hans: 查询
-    human_description:
-      en_US: Pass "all" to query all data in the table, but no more than 100 columns.
-      zh_Hans: 传 all，表示查询表格所有数据，但最多查询 100 列数据。
-    llm_description: 传 all，表示查询表格所有数据，但最多查询 100 列数据。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_task/_assets/icon.png b/api/core/tools/provider/builtin/feishu_task/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/feishu_task/feishu_task.py b/api/core/tools/provider/builtin/feishu_task/feishu_task.py
deleted file mode 100644
index 6df05968d8..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/feishu_task.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuTaskProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml b/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml
deleted file mode 100644
index 88736f79a0..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_task
-  label:
-    en_US: Feishu Task
-    zh_Hans: 飞书任务
-  description:
-    en_US: |
-      Feishu Task, requires the following permissions: task:task:write、contact:user.id:readonly.
-    zh_Hans: |
-      飞书任务，需要开通以下权限: task:task:write、contact:user.id:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/add_members.py b/api/core/tools/provider/builtin/feishu_task/tools/add_members.py
deleted file mode 100644
index e58ed22e0f..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/add_members.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class AddMembersTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-        member_phone_or_email = tool_parameters.get("member_phone_or_email")
-        member_role = tool_parameters.get("member_role", "follower")
-
-        res = client.add_members(task_guid, member_phone_or_email, member_role)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml b/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml
deleted file mode 100644
index 063c0f7f04..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
-identity:
-  name: add_members
-  author: Doug Lea
-  label:
-    en_US: Add Members
-    zh_Hans: 添加任务成员
-description:
-  human:
-    en_US: Add Members
-    zh_Hans: 添加任务成员
-  llm: A tool for adding members to a Feishu task.(添加任务成员)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The GUID of the task to be added, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-      zh_Hans: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-    llm_description: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-    form: llm
-
-  - name: member_phone_or_email
-    type: string
-    required: true
-    label:
-      en_US: Task Member Phone Or Email
-      zh_Hans: 任务成员的电话或邮箱
-    human_description:
-      en_US: A list of member emails or phone numbers, separated by commas.
-      zh_Hans: 任务成员邮箱或者手机号列表，使用逗号分隔。
-    llm_description: 任务成员邮箱或者手机号列表，使用逗号分隔。
-    form: llm
-
-  - name: member_role
-    type: select
-    required: true
-    options:
-      - value: assignee
-        label:
-          en_US: assignee
-          zh_Hans: 负责人
-      - value: follower
-        label:
-          en_US: follower
-          zh_Hans: 关注人
-    default: "follower"
-    label:
-      en_US: member_role
-      zh_Hans: 成员的角色
-    human_description:
-      en_US: Member role, optional values are "assignee" (responsible person) and "follower" (observer), with a default value of "assignee".
-      zh_Hans: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。
-    llm_description: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。
-    form: form
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/create_task.py b/api/core/tools/provider/builtin/feishu_task/tools/create_task.py
deleted file mode 100644
index 96cdcd71f6..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/create_task.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class CreateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        summary = tool_parameters.get("summary")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        completed_time = tool_parameters.get("completed_time")
-        description = tool_parameters.get("description")
-
-        res = client.create_task(summary, start_time, end_time, completed_time, description)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml
deleted file mode 100644
index 7eb4af168b..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-identity:
-  name: create_task
-  author: Doug Lea
-  label:
-    en_US: Create Task
-    zh_Hans: 创建飞书任务
-description:
-  human:
-    en_US: Create Feishu Task
-    zh_Hans: 创建飞书任务
-  llm: A tool for creating tasks in Feishu.(创建飞书任务)
-parameters:
-  - name: summary
-    type: string
-    required: true
-    label:
-      en_US: Task Title
-      zh_Hans: 任务标题
-    human_description:
-      en_US: The title of the task.
-      zh_Hans: 任务标题
-    llm_description: 任务标题
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Task Description
-      zh_Hans: 任务备注
-    human_description:
-      en_US: The description or notes for the task.
-      zh_Hans: 任务备注
-    llm_description: 任务备注
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 任务开始时间
-    human_description:
-      en_US: |
-        The start time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务开始时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 任务结束时间
-    human_description:
-      en_US: |
-        The end time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务结束时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: completed_time
-    type: string
-    required: false
-    label:
-      en_US: Completed Time
-      zh_Hans: 任务完成时间
-    human_description:
-      en_US: |
-        The completion time of the task, in the format: 2006-01-02 15:04:05. Leave empty to create an incomplete task; fill in a specific time to create a completed task.
-      zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。
-    llm_description: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py b/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py
deleted file mode 100644
index dee036fee5..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class UpdateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-
-        res = client.delete_task(task_guid)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml
deleted file mode 100644
index d3f9741367..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-identity:
-  name: delete_task
-  author: Doug Lea
-  label:
-    en_US: Delete Task
-    zh_Hans: 删除飞书任务
-description:
-  human:
-    en_US: Delete Task
-    zh_Hans: 删除飞书任务
-  llm: A tool for deleting tasks in Feishu.(删除飞书任务)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The GUID of the task to be deleted, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-      zh_Hans: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-    llm_description: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/update_task.py b/api/core/tools/provider/builtin/feishu_task/tools/update_task.py
deleted file mode 100644
index 4a48cd283a..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/update_task.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class UpdateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-        summary = tool_parameters.get("summary")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        completed_time = tool_parameters.get("completed_time")
-        description = tool_parameters.get("description")
-
-        res = client.update_task(task_guid, summary, start_time, end_time, completed_time, description)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml
deleted file mode 100644
index 83c9bcb1c4..0000000000
--- a/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml
+++ /dev/null
@@ -1,89 +0,0 @@
-identity:
-  name: update_task
-  author: Doug Lea
-  label:
-    en_US: Update Task
-    zh_Hans: 更新飞书任务
-description:
-  human:
-    en_US: Update Feishu Task
-    zh_Hans: 更新飞书任务
-  llm: A tool for updating tasks in Feishu.(更新飞书任务)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The task ID, supports inputting either the Task ID or the Task link URL. Example of Task ID: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217
-      zh_Hans: |
-        任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217
-    llm_description: |
-      任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217
-    form: llm
-
-  - name: summary
-    type: string
-    required: true
-    label:
-      en_US: Task Title
-      zh_Hans: 任务标题
-    human_description:
-      en_US: The title of the task.
-      zh_Hans: 任务标题
-    llm_description: 任务标题
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Task Description
-      zh_Hans: 任务备注
-    human_description:
-      en_US: The description or notes for the task.
-      zh_Hans: 任务备注
-    llm_description: 任务备注
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 任务开始时间
-    human_description:
-      en_US: |
-        The start time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务开始时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 任务结束时间
-    human_description:
-      en_US: |
-        The end time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务结束时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: completed_time
-    type: string
-    required: false
-    label:
-      en_US: Completed Time
-      zh_Hans: 任务完成时间
-    human_description:
-      en_US: |
-        The completion time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务完成时间，格式为：2006-01-02 15:04:05
-    form: llm
diff --git a/api/core/tools/provider/builtin/feishu_wiki/_assets/icon.png b/api/core/tools/provider/builtin/feishu_wiki/_assets/icon.png
deleted file mode 100644
index 878672c9ae5a511f246d3211863ec786596481eb..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py b/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py
deleted file mode 100644
index 6c5fccb1a3..0000000000
--- a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.feishu_api_utils import auth
-
-
-class FeishuWikiProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        auth(credentials)
diff --git a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml b/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml
deleted file mode 100644
index 1fb5f71cbc..0000000000
--- a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: feishu_wiki
-  label:
-    en_US: Feishu Wiki
-    zh_Hans: 飞书知识库
-  description:
-    en_US: |
-      Feishu Wiki, requires the following permissions: wiki:wiki:readonly.
-    zh_Hans: |
-      飞书知识库，需要开通以下权限: wiki:wiki:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your feishu app id
-      zh_Hans: 请输入你的飞书 app id
-    help:
-      en_US: Get your app_id and app_secret from Feishu
-      zh_Hans: 从飞书获取您的 app_id 和 app_secret
-    url: https://open.larkoffice.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的飞书 app secret
diff --git a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py b/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py
deleted file mode 100644
index 374b4c9a7d..0000000000
--- a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.feishu_api_utils import FeishuRequest
-
-
-class GetWikiNodesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = FeishuRequest(app_id, app_secret)
-
-        space_id = tool_parameters.get("space_id")
-        parent_node_token = tool_parameters.get("parent_node_token")
-        page_token = tool_parameters.get("page_token")
-        page_size = tool_parameters.get("page_size")
-
-        res = client.get_wiki_nodes(space_id, parent_node_token, page_token, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml b/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml
deleted file mode 100644
index 74d51e7bcb..0000000000
--- a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-identity:
-  name: get_wiki_nodes
-  author: Doug Lea
-  label:
-    en_US: Get Wiki Nodes
-    zh_Hans: 获取知识空间子节点列表
-description:
-  human:
-    en_US: |
-      Get the list of child nodes in Wiki, make sure the app/bot is a member of the wiki space. See How to add an app as a wiki base administrator (member). https://open.feishu.cn/document/server-docs/docs/wiki-v2/wiki-qa
-    zh_Hans: |
-      获取知识库全部子节点列表，请确保应用/机器人为知识空间成员。参阅如何将应用添加为知识库管理员（成员）。https://open.feishu.cn/document/server-docs/docs/wiki-v2/wiki-qa
-  llm: A tool for getting all sub-nodes of a knowledge base.(获取知识空间子节点列表)
-parameters:
-  - name: space_id
-    type: string
-    required: true
-    label:
-      en_US: Space Id
-      zh_Hans: 知识空间 ID
-    human_description:
-      en_US: |
-        The ID of the knowledge space. Supports space link URL, for example: https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332
-      zh_Hans: 知识空间 ID，支持空间链接 URL，例如：https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332
-    llm_description: 知识空间 ID，支持空间链接 URL，例如：https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 10
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The size of each page, with a maximum value of 50.
-      zh_Hans: 分页大小，最大值 50。
-    llm_description: 分页大小，最大值 50。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave empty for the first request to start from the beginning; if the paginated query result has more items, a new page_token will be returned, which can be used to get the next set of results.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
-
-  - name: parent_node_token
-    type: string
-    required: false
-    label:
-      en_US: Parent Node Token
-      zh_Hans: 父节点 token
-    human_description:
-      en_US: The token of the parent node.
-      zh_Hans: 父节点 token
-    llm_description: 父节点 token
-    form: llm
diff --git a/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg b/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg
deleted file mode 100644
index e1e5f54117..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="111" height="111" viewBox="0 0 111 111" fill="none">
-    <text x="0" y="90" font-family="Verdana" font-size="85" fill="black">🔥</text>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl.py b/api/core/tools/provider/builtin/firecrawl/firecrawl.py
deleted file mode 100644
index 01455d7206..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/firecrawl.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.firecrawl.tools.scrape import ScrapeTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class FirecrawlProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            # Example validation using the ScrapeTool, only scraping title for minimize content
-            ScrapeTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke(
-                user_id="", tool_parameters={"url": "https://google.com", "onlyIncludeTags": "title"}
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml b/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml
deleted file mode 100644
index a48b9d9f54..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-identity:
-  author: Richards Tu
-  name: firecrawl
-  label:
-    en_US: Firecrawl
-    zh_CN: Firecrawl
-  description:
-    en_US: Firecrawl API integration for web crawling and scraping.
-    zh_Hans: Firecrawl API 集成，用于网页爬取和数据抓取。
-  icon: icon.svg
-  tags:
-    - search
-    - utilities
-credentials_for_provider:
-  firecrawl_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Firecrawl API Key
-      zh_Hans: Firecrawl API 密钥
-    placeholder:
-      en_US: Please input your Firecrawl API key
-      zh_Hans: 请输入您的 Firecrawl API 密钥，如果是自托管版本，可以随意填写密钥
-    help:
-      en_US: Get your Firecrawl API key from your Firecrawl account settings.If you are using a self-hosted version, you may enter any key at your convenience.
-      zh_Hans: 从您的 Firecrawl 账户设置中获取 Firecrawl API 密钥。如果是自托管版本，可以随意填写密钥。
-    url: https://www.firecrawl.dev/account
-  base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: Firecrawl server's Base URL
-      zh_Hans: Firecrawl服务器的API URL
-    placeholder:
-      en_US: https://api.firecrawl.dev
diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py b/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py
deleted file mode 100644
index 14596bf93f..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py
+++ /dev/null
@@ -1,122 +0,0 @@
-import json
-import logging
-import time
-from collections.abc import Mapping
-from typing import Any
-
-import requests
-from requests.exceptions import HTTPError
-
-logger = logging.getLogger(__name__)
-
-
-class FirecrawlApp:
-    def __init__(self, api_key: str | None = None, base_url: str | None = None):
-        self.api_key = api_key
-        self.base_url = base_url or "https://api.firecrawl.dev"
-        if not self.api_key:
-            raise ValueError("API key is required")
-
-    def _prepare_headers(self, idempotency_key: str | None = None):
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
-        if idempotency_key:
-            headers["Idempotency-Key"] = idempotency_key
-        return headers
-
-    def _request(
-        self,
-        method: str,
-        url: str,
-        data: Mapping[str, Any] | None = None,
-        headers: Mapping[str, str] | None = None,
-        retries: int = 3,
-        backoff_factor: float = 0.3,
-    ) -> Mapping[str, Any] | None:
-        if not headers:
-            headers = self._prepare_headers()
-        for i in range(retries):
-            try:
-                response = requests.request(method, url, json=data, headers=headers)
-                return response.json()
-            except requests.exceptions.RequestException:
-                if i < retries - 1:
-                    time.sleep(backoff_factor * (2**i))
-                else:
-                    raise
-        return None
-
-    def scrape_url(self, url: str, **kwargs):
-        endpoint = f"{self.base_url}/v1/scrape"
-        data = {"url": url, **kwargs}
-        logger.debug(f"Sent request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data)
-        if response is None:
-            raise HTTPError("Failed to scrape URL after multiple retries")
-        return response
-
-    def map(self, url: str, **kwargs):
-        endpoint = f"{self.base_url}/v1/map"
-        data = {"url": url, **kwargs}
-        logger.debug(f"Sent request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data)
-        if response is None:
-            raise HTTPError("Failed to perform map after multiple retries")
-        return response
-
-    def crawl_url(
-        self, url: str, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs
-    ):
-        endpoint = f"{self.base_url}/v1/crawl"
-        headers = self._prepare_headers(idempotency_key)
-        data = {"url": url, **kwargs}
-        logger.debug(f"Sent request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data, headers)
-        if response is None:
-            raise HTTPError("Failed to initiate crawl after multiple retries")
-        elif response.get("success") == False:
-            raise HTTPError(f"Failed to crawl: {response.get('error')}")
-        job_id: str = response["id"]
-        if wait:
-            return self._monitor_job_status(job_id=job_id, poll_interval=poll_interval)
-        return response
-
-    def check_crawl_status(self, job_id: str):
-        endpoint = f"{self.base_url}/v1/crawl/{job_id}"
-        response = self._request("GET", endpoint)
-        if response is None:
-            raise HTTPError(f"Failed to check status for job {job_id} after multiple retries")
-        return response
-
-    def cancel_crawl_job(self, job_id: str):
-        endpoint = f"{self.base_url}/v1/crawl/{job_id}"
-        response = self._request("DELETE", endpoint)
-        if response is None:
-            raise HTTPError(f"Failed to cancel job {job_id} after multiple retries")
-        return response
-
-    def _monitor_job_status(self, job_id: str, poll_interval: int):
-        while True:
-            status = self.check_crawl_status(job_id)
-            if status["status"] == "completed":
-                return status
-            elif status["status"] == "failed":
-                raise HTTPError(f"Job {job_id} failed: {status['error']}")
-            time.sleep(poll_interval)
-
-
-def get_array_params(tool_parameters: dict[str, Any], key):
-    param = tool_parameters.get(key)
-    if param:
-        return param.split(",")
-
-
-def get_json_params(tool_parameters: dict[str, Any], key):
-    param = tool_parameters.get(key)
-    if param:
-        try:
-            # support both single quotes and double quotes
-            param = param.replace("'", '"')
-            param = json.loads(param)
-        except Exception:
-            raise ValueError(f"Invalid {key} format.")
-        return param
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.py b/api/core/tools/provider/builtin/firecrawl/tools/crawl.py
deleted file mode 100644
index 15ab510c6c..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp, get_array_params, get_json_params
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CrawlTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        """
-        the api doc:
-        https://docs.firecrawl.dev/api-reference/endpoint/crawl
-        """
-        app = FirecrawlApp(
-            api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"]
-        )
-
-        scrapeOptions = {}
-        payload = {}
-
-        wait_for_results = tool_parameters.get("wait_for_results", True)
-
-        payload["excludePaths"] = get_array_params(tool_parameters, "excludePaths")
-        payload["includePaths"] = get_array_params(tool_parameters, "includePaths")
-        payload["maxDepth"] = tool_parameters.get("maxDepth")
-        payload["ignoreSitemap"] = tool_parameters.get("ignoreSitemap", False)
-        payload["limit"] = tool_parameters.get("limit", 5)
-        payload["allowBackwardLinks"] = tool_parameters.get("allowBackwardLinks", False)
-        payload["allowExternalLinks"] = tool_parameters.get("allowExternalLinks", False)
-        payload["webhook"] = tool_parameters.get("webhook")
-
-        scrapeOptions["formats"] = get_array_params(tool_parameters, "formats")
-        scrapeOptions["headers"] = get_json_params(tool_parameters, "headers")
-        scrapeOptions["includeTags"] = get_array_params(tool_parameters, "includeTags")
-        scrapeOptions["excludeTags"] = get_array_params(tool_parameters, "excludeTags")
-        scrapeOptions["onlyMainContent"] = tool_parameters.get("onlyMainContent", False)
-        scrapeOptions["waitFor"] = tool_parameters.get("waitFor", 0)
-        scrapeOptions = {k: v for k, v in scrapeOptions.items() if v not in (None, "")}
-        payload["scrapeOptions"] = scrapeOptions or None
-
-        payload = {k: v for k, v in payload.items() if v not in (None, "")}
-
-        crawl_result = app.crawl_url(url=tool_parameters["url"], wait=wait_for_results, **payload)
-
-        return self.create_json_message(crawl_result)
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml
deleted file mode 100644
index 0d7dbcac20..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml
+++ /dev/null
@@ -1,200 +0,0 @@
-identity:
-  name: crawl
-  author: Richards Tu
-  label:
-    en_US: Crawl
-    zh_Hans: 深度爬取
-description:
-  human:
-    en_US: Recursively search through a urls subdomains, and gather the content.
-    zh_Hans: 递归爬取一个网址的子域名，并收集内容。
-  llm: This tool initiates a web crawl to extract data from a specified URL. It allows configuring crawler options such as including or excluding URL patterns, generating alt text for images using LLMs (paid plan required), limiting the maximum number of pages to crawl, and returning only the main content of the page. The tool can return either a list of crawled documents or a list of URLs based on the provided options.
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: Start URL
-      zh_Hans: 起始URL
-    human_description:
-      en_US: The base URL to start crawling from.
-      zh_Hans: 要爬取网站的起始URL。
-    llm_description: The URL of the website that needs to be crawled. This is a required parameter.
-    form: llm
-  - name: wait_for_results
-    type: boolean
-    default: true
-    label:
-      en_US: Wait For Results
-      zh_Hans: 等待爬取结果
-    human_description:
-      en_US: If you choose not to wait, it will directly return a job ID. You can use this job ID to check the crawling results or cancel the crawling task, which is usually very useful for a large-scale crawling task.
-      zh_Hans: 如果选择不等待，则会直接返回一个job_id，可以通过job_id查询爬取结果或取消爬取任务，这通常对于一个大型爬取任务来说非常有用。
-    form: form
-############## Payload #######################
-  - name: excludePaths
-    type: string
-    label:
-      en_US: URL patterns to exclude
-      zh_Hans: 要排除的URL模式
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-        Pages matching these patterns will be skipped. Example: blog/*, about/*
-      zh_Hans: 匹配这些模式的页面将被跳过。示例：blog/*, about/*
-    form: form
-  - name: includePaths
-    type: string
-    required: false
-    label:
-      en_US: URL patterns to include
-      zh_Hans: 要包含的URL模式
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-       Only pages matching these patterns will be crawled. Example: blog/*, about/*
-      zh_Hans: 只有与这些模式匹配的页面才会被爬取。示例：blog/*, about/*
-    form: form
-  - name: maxDepth
-    type: number
-    label:
-      en_US: Maximum crawl depth
-      zh_Hans: 爬取深度
-    human_description:
-      en_US: Maximum depth to crawl relative to the entered URL. A maxDepth of 0 scrapes only the entered URL. A maxDepth of 1 scrapes the entered URL and all pages one level deep. A maxDepth of 2 scrapes the entered URL and all pages up to two levels deep. Higher values follow the same pattern.
-      zh_Hans: 相对于输入的URL，爬取的最大深度。maxDepth为0时，仅抓取输入的URL。maxDepth为1时，抓取输入的URL以及所有一级深层页面。maxDepth为2时，抓取输入的URL以及所有两级深层页面。更高值遵循相同模式。
-    form: form
-    min: 0
-    default: 2
-  - name: ignoreSitemap
-    type: boolean
-    default: true
-    label:
-      en_US: ignore Sitemap
-      zh_Hans: 忽略站点地图
-    human_description:
-      en_US: Ignore the website sitemap when crawling.
-      zh_Hans: 爬取时忽略网站站点地图。
-    form: form
-  - name: limit
-    type: number
-    required: false
-    label:
-      en_US: Maximum pages to crawl
-      zh_Hans: 最大爬取页面数
-    human_description:
-      en_US: Specify the maximum number of pages to crawl. The crawler will stop after reaching this limit.
-      zh_Hans: 指定要爬取的最大页面数。爬虫将在达到此限制后停止。
-    form: form
-    min: 1
-    default: 5
-  - name: allowBackwardLinks
-    type: boolean
-    default: false
-    label:
-      en_US: allow Backward Crawling
-      zh_Hans: 允许向后爬取
-    human_description:
-      en_US: Enables the crawler to navigate from a specific URL to previously linked pages. For instance, from 'example.com/product/123' back to 'example.com/product'
-      zh_Hans: 使爬虫能够从特定URL导航到之前链接的页面。例如，从'example.com/product/123'返回到'example.com/product'
-    form: form
-  - name: allowExternalLinks
-    type: boolean
-    default: false
-    label:
-      en_US: allow External Content Links
-      zh_Hans: 允许爬取外链
-    human_description:
-      en_US: Allows the crawler to follow links to external websites.
-      zh_Hans:
-    form: form
-  - name: webhook
-    type: string
-    label:
-      en_US: webhook
-    human_description:
-      en_US: |
-       The URL to send the webhook to. This will trigger for crawl started (crawl.started) ,every page crawled (crawl.page) and when the crawl is completed (crawl.completed or crawl.failed). The response will be the same as the /scrape endpoint.
-      zh_Hans: 发送Webhook的URL。这将在开始爬取（crawl.started）、每爬取一个页面（crawl.page）以及爬取完成（crawl.completed或crawl.failed）时触发。响应将与/scrape端点相同。
-    form: form
-############## Scrape Options #######################
-  - name: formats
-    type: string
-    label:
-      en_US: Formats
-      zh_Hans: 结果的格式
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-        Formats to include in the output. Available options: markdown, html, rawHtml, links, screenshot
-      zh_Hans: |
-        输出中应包含的格式。可以填入: markdown, html, rawHtml, links, screenshot
-    form: form
-  - name: headers
-    type: string
-    label:
-      en_US: headers
-      zh_Hans: 请求头
-    human_description:
-      en_US: |
-        Headers to send with the request. Can be used to send cookies, user-agent, etc. Example: {"cookies": "testcookies"}
-      zh_Hans: |
-        随请求发送的头部。可以用来发送cookies、用户代理等。示例：{"cookies": "testcookies"}
-    placeholder:
-      en_US: Please enter an object that can be serialized in JSON
-      zh_Hans: 请输入可以json序列化的对象
-    form: form
-  - name: includeTags
-    type: string
-    label:
-      en_US: Include Tags
-      zh_Hans: 仅抓取这些标签
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-        Only include tags, classes and ids from the page in the final output. Use comma separated values. Example: script, .ad, #footer
-      zh_Hans: |
-        仅在最终输出中包含HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer
-    form: form
-  - name: excludeTags
-    type: string
-    label:
-      en_US: Exclude Tags
-      zh_Hans: 要移除这些标签
-    human_description:
-      en_US: |
-        Tags, classes and ids to remove from the page. Use comma separated values. Example: script, .ad, #footer
-      zh_Hans: |
-        要在最终输出中移除HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    form: form
-  - name: onlyMainContent
-    type: boolean
-    default: false
-    label:
-      en_US: only Main Content
-      zh_Hans: 仅抓取主要内容
-    human_description:
-      en_US: Only return the main content of the page excluding headers, navs, footers, etc.
-      zh_Hans: 只返回页面的主要内容，不包括头部、导航栏、尾部等。
-    form: form
-  - name: waitFor
-    type: number
-    min: 0
-    label:
-      en_US: wait For
-      zh_Hans: 等待时间
-    human_description:
-      en_US: Wait x amount of milliseconds for the page to load to fetch content.
-      zh_Hans: 等待x毫秒以使页面加载并获取内容。
-    form: form
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py b/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py
deleted file mode 100644
index 0d2486c7ca..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CrawlJobTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app = FirecrawlApp(
-            api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"]
-        )
-        operation = tool_parameters.get("operation", "get")
-        if operation == "get":
-            result = app.check_crawl_status(job_id=tool_parameters["job_id"])
-        elif operation == "cancel":
-            result = app.cancel_crawl_job(job_id=tool_parameters["job_id"])
-        else:
-            raise ValueError(f"Invalid operation: {operation}")
-
-        return self.create_json_message(result)
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml
deleted file mode 100644
index 78008e4ad4..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-identity:
-  name: crawl_job
-  author: hjlarry
-  label:
-    en_US: Crawl Job
-    zh_Hans: 爬取任务处理
-description:
-  human:
-    en_US: Retrieve the scraping results based on the job ID, or cancel the scraping task.
-    zh_Hans: 根据爬取任务ID获取爬取结果，或者取消爬取任务
-  llm: Retrieve the scraping results based on the job ID, or cancel the scraping task.
-parameters:
-  - name: job_id
-    type: string
-    required: true
-    label:
-      en_US: Job ID
-    human_description:
-      en_US: Set wait_for_results to false in the Crawl tool can get the job ID.
-      zh_Hans: 在深度爬取工具中将等待爬取结果设置为否可以获取Job ID。
-    llm_description: Set wait_for_results to false in the Crawl tool can get the job ID.
-    form: llm
-  - name: operation
-    type: select
-    required: true
-    options:
-      - value: get
-        label:
-          en_US: get crawl status
-      - value: cancel
-        label:
-          en_US: cancel crawl job
-    label:
-      en_US: operation
-      zh_Hans: 操作
-    llm_description: choose the operation to perform. `get` is for getting the crawl status, `cancel` is for cancelling the crawl job.
-    form: llm
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/map.py b/api/core/tools/provider/builtin/firecrawl/tools/map.py
deleted file mode 100644
index bdfb5faeb8..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/map.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class MapTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        """
-        the api doc:
-        https://docs.firecrawl.dev/api-reference/endpoint/map
-        """
-        app = FirecrawlApp(
-            api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"]
-        )
-        payload = {}
-        payload["search"] = tool_parameters.get("search")
-        payload["ignoreSitemap"] = tool_parameters.get("ignoreSitemap", True)
-        payload["includeSubdomains"] = tool_parameters.get("includeSubdomains", False)
-        payload["limit"] = tool_parameters.get("limit", 5000)
-
-        map_result = app.map(url=tool_parameters["url"], **payload)
-
-        return self.create_json_message(map_result)
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/map.yaml b/api/core/tools/provider/builtin/firecrawl/tools/map.yaml
deleted file mode 100644
index 9913756983..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/map.yaml
+++ /dev/null
@@ -1,59 +0,0 @@
-identity:
-  name: map
-  author: hjlarry
-  label:
-    en_US: Map
-    zh_Hans: 地图式快爬
-description:
-  human:
-    en_US: Input a website and get all the urls on the website - extremly fast
-    zh_Hans: 输入一个网站，快速获取网站上的所有网址。
-  llm: Input a website and get all the urls on the website - extremly fast
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: Start URL
-      zh_Hans: 起始URL
-    human_description:
-      en_US: The base URL to start crawling from.
-      zh_Hans: 要爬取网站的起始URL。
-    llm_description: The URL of the website that needs to be crawled. This is a required parameter.
-    form: llm
-  - name: search
-    type: string
-    label:
-      en_US: search
-      zh_Hans: 搜索查询
-    human_description:
-      en_US: Search query to use for mapping. During the Alpha phase, the 'smart' part of the search functionality is limited to 100 search results. However, if map finds more results, there is no limit applied.
-      zh_Hans: 用于映射的搜索查询。在Alpha阶段，搜索功能的“智能”部分限制为最多100个搜索结果。然而，如果地图找到了更多结果，则不施加任何限制。
-    llm_description: Search query to use for mapping. During the Alpha phase, the 'smart' part of the search functionality is limited to 100 search results. However, if map finds more results, there is no limit applied.
-    form: llm
-############## Page Options #######################
-  - name: ignoreSitemap
-    type: boolean
-    default: true
-    label:
-      en_US: ignore Sitemap
-      zh_Hans: 忽略站点地图
-    human_description:
-      en_US: Ignore the website sitemap when crawling.
-      zh_Hans: 爬取时忽略网站站点地图。
-    form: form
-  - name: includeSubdomains
-    type: boolean
-    default: false
-    label:
-      en_US: include Subdomains
-      zh_Hans: 包含子域名
-    form: form
-  - name: limit
-    type: number
-    min: 0
-    default: 5000
-    label:
-      en_US: Maximum results
-      zh_Hans: 最大结果数量
-    form: form
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/scrape.py b/api/core/tools/provider/builtin/firecrawl/tools/scrape.py
deleted file mode 100644
index f00a9b31ce..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/scrape.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp, get_array_params, get_json_params
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class ScrapeTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
-        """
-        the api doc:
-        https://docs.firecrawl.dev/api-reference/endpoint/scrape
-        """
-        app = FirecrawlApp(
-            api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"]
-        )
-
-        payload = {}
-        extract = {}
-
-        payload["formats"] = get_array_params(tool_parameters, "formats")
-        payload["onlyMainContent"] = tool_parameters.get("onlyMainContent", True)
-        payload["includeTags"] = get_array_params(tool_parameters, "includeTags")
-        payload["excludeTags"] = get_array_params(tool_parameters, "excludeTags")
-        payload["headers"] = get_json_params(tool_parameters, "headers")
-        payload["waitFor"] = tool_parameters.get("waitFor", 0)
-        payload["timeout"] = tool_parameters.get("timeout", 30000)
-
-        extract["schema"] = get_json_params(tool_parameters, "schema")
-        extract["systemPrompt"] = tool_parameters.get("systemPrompt")
-        extract["prompt"] = tool_parameters.get("prompt")
-        extract = {k: v for k, v in extract.items() if v not in (None, "")}
-        payload["extract"] = extract or None
-
-        payload = {k: v for k, v in payload.items() if v not in (None, "")}
-
-        crawl_result = app.scrape_url(url=tool_parameters["url"], **payload)
-        markdown_result = crawl_result.get("data", {}).get("markdown", "")
-        return [self.create_text_message(markdown_result), self.create_json_message(crawl_result)]
diff --git a/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml b/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml
deleted file mode 100644
index 8f1f1348a4..0000000000
--- a/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml
+++ /dev/null
@@ -1,152 +0,0 @@
-identity:
-  name: scrape
-  author: ahasasjeb
-  label:
-    en_US: Scrape
-    zh_Hans: 单页面抓取
-description:
-  human:
-    en_US: Turn any url into clean data.
-    zh_Hans: 将任何网址转换为干净的数据。
-  llm: This tool is designed to scrape URL and output the content in Markdown format.
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: URL to scrape
-      zh_Hans: 要抓取的URL
-    human_description:
-      en_US: The URL of the website to scrape and extract data from.
-      zh_Hans: 要抓取并提取数据的网站URL。
-    llm_description: The URL of the website that needs to be crawled. This is a required parameter.
-    form: llm
-############## Payload #######################
-  - name: formats
-    type: string
-    label:
-      en_US: Formats
-      zh_Hans: 结果的格式
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-        Formats to include in the output. Available options: markdown, html, rawHtml, links, screenshot, extract, screenshot@fullPage
-      zh_Hans: |
-        输出中应包含的格式。可以填入: markdown, html, rawHtml, links, screenshot, extract, screenshot@fullPage
-    form: form
-  - name: onlyMainContent
-    type: boolean
-    default: false
-    label:
-      en_US: only Main Content
-      zh_Hans: 仅抓取主要内容
-    human_description:
-      en_US: Only return the main content of the page excluding headers, navs, footers, etc.
-      zh_Hans: 只返回页面的主要内容，不包括头部、导航栏、尾部等。
-    form: form
-  - name: includeTags
-    type: string
-    label:
-      en_US: Include Tags
-      zh_Hans: 仅抓取这些标签
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    human_description:
-      en_US: |
-        Only include tags, classes and ids from the page in the final output. Use comma separated values. Example: script, .ad, #footer
-      zh_Hans: |
-        仅在最终输出中包含HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer
-    form: form
-  - name: excludeTags
-    type: string
-    label:
-      en_US: Exclude Tags
-      zh_Hans: 要移除这些标签
-    human_description:
-      en_US: |
-        Tags, classes and ids to remove from the page. Use comma separated values. Example: script, .ad, #footer
-      zh_Hans: |
-        要在最终输出中移除HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer
-    placeholder:
-      en_US: Use commas to separate multiple tags
-      zh_Hans: 多个标签时使用半角逗号分隔
-    form: form
-  - name: headers
-    type: string
-    label:
-      en_US: headers
-      zh_Hans: 请求头
-    human_description:
-      en_US: |
-        Headers to send with the request. Can be used to send cookies, user-agent, etc. Example: {"cookies": "testcookies"}
-      zh_Hans: |
-        随请求发送的头部。可以用来发送cookies、用户代理等。示例：{"cookies": "testcookies"}
-    placeholder:
-      en_US: Please enter an object that can be serialized in JSON
-      zh_Hans: 请输入可以json序列化的对象
-    form: form
-  - name: waitFor
-    type: number
-    min: 0
-    default: 0
-    label:
-      en_US: wait For
-      zh_Hans: 等待时间
-    human_description:
-      en_US: Wait x amount of milliseconds for the page to load to fetch content.
-      zh_Hans: 等待x毫秒以使页面加载并获取内容。
-    form: form
-  - name: timeout
-    type: number
-    min: 0
-    default: 30000
-    label:
-      en_US: Timeout
-    human_description:
-      en_US: Timeout in milliseconds for the request.
-      zh_Hans: 请求的超时时间（以毫秒为单位）。
-    form: form
-############## Extractor Options #######################
-  - name: schema
-    type: string
-    label:
-      en_US: Extractor Schema
-      zh_Hans: 提取时的结构
-    placeholder:
-      en_US: Please enter an object that can be serialized in JSON
-      zh_Hans: 请输入可以json序列化的对象
-    human_description:
-      en_US: |
-        The schema for the data to be extracted. Example: {
-            "type": "object",
-            "properties": {"company_mission": {"type": "string"}},
-            "required": ["company_mission"]
-        }
-      zh_Hans: |
-       使用该结构去提取，示例：{
-            "type": "object",
-            "properties": {"company_mission": {"type": "string"}},
-            "required": ["company_mission"]
-        }
-    form: form
-  - name: systemPrompt
-    type: string
-    label:
-      en_US: Extractor System Prompt
-      zh_Hans: 提取时的系统提示词
-    human_description:
-      en_US: The system prompt to use for the extraction.
-      zh_Hans: 用于提取的系统提示。
-    form: form
-  - name: prompt
-    type: string
-    label:
-      en_US: Extractor Prompt
-      zh_Hans: 提取时的提示词
-    human_description:
-      en_US: The prompt to use for the extraction without a schema.
-      zh_Hans: 用于无schema时提取的提示词
-    form: form
diff --git a/api/core/tools/provider/builtin/gaode/_assets/icon.svg b/api/core/tools/provider/builtin/gaode/_assets/icon.svg
deleted file mode 100644
index 0f5729e17a..0000000000
--- a/api/core/tools/provider/builtin/gaode/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg version="1.1" xmlns="http://www.w3.org/2000/svg" height="1024" width="1024" viewBox="0 0 1024 1024"><path d="M699.052008 894.366428l-253.855434-159.289336-115.571175 114.768472 44.746184-157.983686L887.097839 163.880236 312.470884 651.791088l-205.584597-128.995835L887.097839 163.876212 699.056031 894.364417zM348.039293 321.886051h122.859882L348.039293 374.779976V321.886051z m675.960707 0v-75.373642C1024 109.706813 917.443646 0 782.927466 0H698.090373v224.076951l-80.471512 34.642986V0H242.63167C108.113477 0-0.002012 109.706813-0.002012 246.51442V321.886051h195.143419v80.471513H0v376.276746C0 915.439906 108.115489 1024 242.63167 1024h374.985179v-145.906923l80.471512 51.270412V1024h84.837093C917.445658 1024 1024 915.439906 1024 778.63431V402.357564h-172.255308l20.717391-80.471513H1024z" fill="#0093FD"></path></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/gaode/gaode.py b/api/core/tools/provider/builtin/gaode/gaode.py
deleted file mode 100644
index 49a8e537fb..0000000000
--- a/api/core/tools/provider/builtin/gaode/gaode.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import urllib.parse
-
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GaodeProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            if "api_key" not in credentials or not credentials.get("api_key"):
-                raise ToolProviderCredentialValidationError("Gaode API key is required.")
-
-            try:
-                response = requests.get(
-                    url="https://restapi.amap.com/v3/geocode/geo?address={address}&key={apikey}".format(
-                        address=urllib.parse.quote("广东省广州市天河区广州塔"), apikey=credentials.get("api_key")
-                    )
-                )
-                if response.status_code == 200 and (response.json()).get("info") == "OK":
-                    pass
-                else:
-                    raise ToolProviderCredentialValidationError((response.json()).get("info"))
-            except Exception as e:
-                raise ToolProviderCredentialValidationError("Gaode API Key is invalid. {}".format(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/gaode/gaode.yaml b/api/core/tools/provider/builtin/gaode/gaode.yaml
deleted file mode 100644
index 2eb3b161a2..0000000000
--- a/api/core/tools/provider/builtin/gaode/gaode.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-identity:
-  author: CharlieWei
-  name: gaode
-  label:
-    en_US: Autonavi
-    zh_Hans: 高德
-    pt_BR: Autonavi
-  description:
-    en_US: Autonavi Open Platform service toolkit.
-    zh_Hans: 高德开放平台服务工具包。
-    pt_BR: Kit de ferramentas de serviço Autonavi Open Platform.
-  icon: icon.svg
-  tags:
-    - utilities
-    - productivity
-    - travel
-    - weather
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-      zh_Hans: API Key
-      pt_BR: Fogo a chave
-    placeholder:
-      en_US: Please enter your Autonavi API Key
-      zh_Hans: 请输入你的高德开放平台 API Key
-      pt_BR: Insira sua chave de API Autonavi
-    help:
-      en_US: Get your API Key from Autonavi
-      zh_Hans: 从高德获取您的 API Key
-      pt_BR: Obtenha sua chave de API do Autonavi
-    url: https://console.amap.com/dev/key/app
diff --git a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py
deleted file mode 100644
index 4642415e6d..0000000000
--- a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GaodeRepositoriesTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        city = tool_parameters.get("city", "")
-        if not city:
-            return self.create_text_message("Please tell me your city")
-
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            return self.create_text_message("Gaode API key is required.")
-
-        try:
-            s = requests.session()
-            api_domain = "https://restapi.amap.com/v3"
-            city_response = s.request(
-                method="GET",
-                headers={"Content-Type": "application/json; charset=utf-8"},
-                url="{url}/config/district?keywords={keywords}&subdistrict=0&extensions=base&key={apikey}".format(
-                    url=api_domain, keywords=city, apikey=self.runtime.credentials.get("api_key")
-                ),
-            )
-            City_data = city_response.json()
-            if city_response.status_code == 200 and City_data.get("info") == "OK":
-                if len(City_data.get("districts")) > 0:
-                    CityCode = City_data["districts"][0]["adcode"]
-                    weatherInfo_response = s.request(
-                        method="GET",
-                        url="{url}/weather/weatherInfo?city={citycode}&extensions=all&key={apikey}&output=json".format(
-                            url=api_domain, citycode=CityCode, apikey=self.runtime.credentials.get("api_key")
-                        ),
-                    )
-                    weatherInfo_data = weatherInfo_response.json()
-                    if weatherInfo_response.status_code == 200 and weatherInfo_data.get("info") == "OK":
-                        contents = []
-                        if len(weatherInfo_data.get("forecasts")) > 0:
-                            for item in weatherInfo_data["forecasts"][0]["casts"]:
-                                content = {}
-                                content["date"] = item.get("date")
-                                content["week"] = item.get("week")
-                                content["dayweather"] = item.get("dayweather")
-                                content["daytemp_float"] = item.get("daytemp_float")
-                                content["daywind"] = item.get("daywind")
-                                content["nightweather"] = item.get("nightweather")
-                                content["nighttemp_float"] = item.get("nighttemp_float")
-                                contents.append(content)
-                            s.close()
-                            return self.create_text_message(
-                                self.summary(user_id=user_id, content=json.dumps(contents, ensure_ascii=False))
-                            )
-            s.close()
-            return self.create_text_message(f"No weather information for {city} was found.")
-        except Exception as e:
-            return self.create_text_message("Gaode API Key and Api Version is invalid. {}".format(e))
diff --git a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml
deleted file mode 100644
index e41851e188..0000000000
--- a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-identity:
-  name: gaode_weather
-  author: CharlieWei
-  label:
-    en_US: Weather Forecast
-    zh_Hans: 天气预报
-    pt_BR: Previsão do tempo
-  icon: icon.svg
-description:
-  human:
-    en_US: Weather forecast inquiry
-    zh_Hans: 天气预报查询。
-    pt_BR: Inquérito sobre previsão meteorológica.
-  llm: A tool when you want to ask about the weather or weather-related question.
-parameters:
-  - name: city
-    type: string
-    required: true
-    label:
-      en_US: city
-      zh_Hans: 城市
-      pt_BR: cidade
-    human_description:
-      en_US: Target city for weather forecast query.
-      zh_Hans: 天气预报查询的目标城市。
-      pt_BR: Cidade de destino para consulta de previsão do tempo.
-    llm_description: If you don't know you can extract the city name from the question or you can reply：Please tell me your city. You have to extract the Chinese city name from the question.
-    form: llm
diff --git a/api/core/tools/provider/builtin/getimgai/_assets/icon.svg b/api/core/tools/provider/builtin/getimgai/_assets/icon.svg
deleted file mode 100644
index 6b2513386d..0000000000
--- a/api/core/tools/provider/builtin/getimgai/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 256 256"><rect width="256" height="256" fill="none"/><rect x="32" y="48" width="192" height="160" rx="8" fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="16"/><circle cx="156" cy="100" r="12"/><path d="M147.31,164,173,138.34a8,8,0,0,1,11.31,0L224,178.06" fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="16"/><path d="M32,168.69l54.34-54.35a8,8,0,0,1,11.32,0L191.31,208" fill="none" stroke="#1553ed" stroke-linecap="round" stroke-linejoin="round" stroke-width="16"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/getimgai/getimgai.py b/api/core/tools/provider/builtin/getimgai/getimgai.py
deleted file mode 100644
index bbd07d120f..0000000000
--- a/api/core/tools/provider/builtin/getimgai/getimgai.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.getimgai.tools.text2image import Text2ImageTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GetImgAIProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            # Example validation using the text2image tool
-            Text2ImageTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke(
-                user_id="",
-                tool_parameters={
-                    "prompt": "A fire egg",
-                    "response_format": "url",
-                    "style": "photorealism",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/getimgai/getimgai.yaml b/api/core/tools/provider/builtin/getimgai/getimgai.yaml
deleted file mode 100644
index c9db0a9e22..0000000000
--- a/api/core/tools/provider/builtin/getimgai/getimgai.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-identity:
-  author: Matri Qi
-  name: getimgai
-  label:
-    en_US: getimg.ai
-    zh_CN: getimg.ai
-  description:
-    en_US: GetImg API integration for image generation and scraping.
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  getimg_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: getimg.ai API Key
-    placeholder:
-      en_US: Please input your getimg.ai API key
-    help:
-      en_US: Get your getimg.ai API key from your getimg.ai account settings. If you are using a self-hosted version, you may enter any key at your convenience.
-    url: https://dashboard.getimg.ai/api-keys
-  base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: getimg.ai server's Base URL
-    placeholder:
-      en_US: https://api.getimg.ai/v1
diff --git a/api/core/tools/provider/builtin/getimgai/getimgai_appx.py b/api/core/tools/provider/builtin/getimgai/getimgai_appx.py
deleted file mode 100644
index 0e95a5f654..0000000000
--- a/api/core/tools/provider/builtin/getimgai/getimgai_appx.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import logging
-import time
-from collections.abc import Mapping
-from typing import Any
-
-import requests
-from requests.exceptions import HTTPError
-
-logger = logging.getLogger(__name__)
-
-
-class GetImgAIApp:
-    def __init__(self, api_key: str | None = None, base_url: str | None = None):
-        self.api_key = api_key
-        self.base_url = base_url or "https://api.getimg.ai/v1"
-        if not self.api_key:
-            raise ValueError("API key is required")
-
-    def _prepare_headers(self):
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
-        return headers
-
-    def _request(
-        self,
-        method: str,
-        url: str,
-        data: Mapping[str, Any] | None = None,
-        headers: Mapping[str, str] | None = None,
-        retries: int = 3,
-        backoff_factor: float = 0.3,
-    ) -> Mapping[str, Any] | None:
-        for i in range(retries):
-            try:
-                response = requests.request(method, url, json=data, headers=headers)
-                response.raise_for_status()
-                return response.json()
-            except requests.exceptions.RequestException as e:
-                if i < retries - 1 and isinstance(e, HTTPError) and e.response.status_code >= 500:
-                    time.sleep(backoff_factor * (2**i))
-                else:
-                    raise
-        return None
-
-    def text2image(self, mode: str, **kwargs):
-        data = kwargs["params"]
-        if not data.get("prompt"):
-            raise ValueError("Prompt is required")
-
-        endpoint = f"{self.base_url}/{mode}/text-to-image"
-        headers = self._prepare_headers()
-        logger.debug(f"Send request to {endpoint=} body={data}")
-        response = self._request("POST", endpoint, data, headers)
-        if response is None:
-            raise HTTPError("Failed to initiate getimg.ai after multiple retries")
-        return response
diff --git a/api/core/tools/provider/builtin/getimgai/tools/text2image.py b/api/core/tools/provider/builtin/getimgai/tools/text2image.py
deleted file mode 100644
index c556749552..0000000000
--- a/api/core/tools/provider/builtin/getimgai/tools/text2image.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import json
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.getimgai.getimgai_appx import GetImgAIApp
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class Text2ImageTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        app = GetImgAIApp(
-            api_key=self.runtime.credentials["getimg_api_key"], base_url=self.runtime.credentials["base_url"]
-        )
-
-        options = {
-            "style": tool_parameters.get("style"),
-            "prompt": tool_parameters.get("prompt"),
-            "aspect_ratio": tool_parameters.get("aspect_ratio"),
-            "output_format": tool_parameters.get("output_format", "jpeg"),
-            "response_format": tool_parameters.get("response_format", "url"),
-            "width": tool_parameters.get("width"),
-            "height": tool_parameters.get("height"),
-            "steps": tool_parameters.get("steps"),
-            "negative_prompt": tool_parameters.get("negative_prompt"),
-            "prompt_2": tool_parameters.get("prompt_2"),
-        }
-        options = {k: v for k, v in options.items() if v}
-
-        text2image_result = app.text2image(mode=tool_parameters.get("mode", "essential-v2"), params=options, wait=True)
-
-        if not isinstance(text2image_result, str):
-            text2image_result = json.dumps(text2image_result, ensure_ascii=False, indent=4)
-
-        if not text2image_result:
-            return self.create_text_message("getimg.ai request failed.")
-
-        return self.create_text_message(text2image_result)
diff --git a/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml b/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml
deleted file mode 100644
index d972186f56..0000000000
--- a/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml
+++ /dev/null
@@ -1,167 +0,0 @@
-identity:
-  name: text2image
-  author: Matri Qi
-  label:
-    en_US: text2image
-  icon: icon.svg
-description:
-  human:
-    en_US: Generate image via getimg.ai.
-  llm: This tool is used to generate image from prompt or image via https://getimg.ai.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: prompt
-    human_description:
-      en_US: The text prompt used to generate the image. The getimg.aier will generate an image based on this prompt.
-    llm_description: this prompt text will be used to generate image.
-    form: llm
-  - name: mode
-    type: select
-    required: false
-    label:
-      en_US: mode
-    human_description:
-      en_US: The getimg.ai mode to use. The mode determines the endpoint used to generate the image.
-    form: form
-    options:
-      - value: "essential-v2"
-        label:
-          en_US: essential-v2
-      - value: stable-diffusion-xl
-        label:
-          en_US: stable-diffusion-xl
-      - value: stable-diffusion
-        label:
-          en_US: stable-diffusion
-      - value: latent-consistency
-        label:
-          en_US: latent-consistency
-  - name: style
-    type: select
-    required: false
-    label:
-      en_US: style
-    human_description:
-      en_US: The style preset to use. The style preset guides the generation towards a particular style. It's just efficient for `Essential V2` mode.
-    form: form
-    options:
-      - value: photorealism
-        label:
-          en_US: photorealism
-      - value: anime
-        label:
-          en_US: anime
-      - value: art
-        label:
-          en_US: art
-  - name: aspect_ratio
-    type: select
-    required: false
-    label:
-      en_US: "aspect ratio"
-    human_description:
-      en_US: The aspect ratio of the generated image. It's just efficient for `Essential V2` mode.
-    form: form
-    options:
-      - value: "1:1"
-        label:
-          en_US: "1:1"
-      - value: "4:5"
-        label:
-          en_US: "4:5"
-      - value: "5:4"
-        label:
-          en_US: "5:4"
-      - value: "2:3"
-        label:
-          en_US: "2:3"
-      - value: "3:2"
-        label:
-          en_US: "3:2"
-      - value: "4:7"
-        label:
-          en_US: "4:7"
-      - value: "7:4"
-        label:
-          en_US: "7:4"
-  - name: output_format
-    type: select
-    required: false
-    label:
-      en_US: "output format"
-    human_description:
-      en_US: The file format of the generated image.
-    form: form
-    options:
-      - value: jpeg
-        label:
-          en_US: jpeg
-      - value: png
-        label:
-          en_US: png
-  - name: response_format
-    type: select
-    required: false
-    label:
-      en_US: "response format"
-    human_description:
-      en_US: The format in which the generated images are returned. Must be one of url or b64. URLs are only valid for 1 hour after the image has been generated.
-    form: form
-    options:
-      - value: url
-        label:
-          en_US: url
-      - value: b64
-        label:
-          en_US: b64
-  - name: model
-    type: string
-    required: false
-    label:
-      en_US: model
-    human_description:
-      en_US: Model ID supported by this pipeline and family. It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode.
-    form: form
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: negative prompt
-    human_description:
-      en_US: Text input that will not guide the image generation. It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode.
-    form: form
-  - name: prompt_2
-    type: string
-    required: false
-    label:
-      en_US: prompt2
-    human_description:
-      en_US: Prompt sent to second tokenizer and text encoder. If not defined, prompt is used in both text-encoders. It's just efficient for `Stable Diffusion XL` mode.
-    form: form
-  - name: width
-    type: number
-    required: false
-    label:
-      en_US: width
-    human_description:
-      en_US: he width of the generated image in pixels. Width needs to be multiple of 64.
-    form: form
-  - name: height
-    type: number
-    required: false
-    label:
-      en_US: height
-    human_description:
-      en_US: he height of the generated image in pixels. Height needs to be multiple of 64.
-    form: form
-  - name: steps
-    type: number
-    required: false
-    label:
-      en_US: steps
-    human_description:
-      en_US: The number of denoising steps. More steps usually can produce higher quality images, but take more time to generate.  It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode.
-    form: form
diff --git a/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg b/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg
deleted file mode 100644
index 6dd75d1a6b..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M25.132 24.3947C25.497 25.7527 25.8984 27.1413 26.3334 28.5834C26.7302 29.8992 25.5459 30.4167 25.0752 29.1758C24.571 27.8466 24.0885 26.523 23.6347 25.1729C21.065 26.4654 18.5025 27.5424 15.5961 28.7541C16.7581 33.0256 17.8309 36.5984 19.4952 39.9935C19.4953 39.9936 19.4953 39.9937 19.4954 39.9938C19.6631 39.9979 19.8313 40 20 40C31.0457 40 40 31.0457 40 20C40 16.0335 38.8453 12.3366 36.8537 9.22729C31.6585 9.69534 27.0513 10.4562 22.8185 11.406C22.8882 12.252 22.9677 13.0739 23.0555 13.855C23.3824 16.7604 23.9112 19.5281 24.6137 22.3836C27.0581 21.2848 29.084 20.3225 30.6816 19.522C32.2154 18.7535 33.6943 18.7062 31.2018 20.6594C29.0388 22.1602 27.0644 23.3566 25.132 24.3947ZM36.1559 8.20846C33.0001 3.89184 28.1561 0.887462 22.5955 0.166882C22.4257 2.86234 22.4785 6.26344 22.681 9.50447C26.7473 8.88859 31.1721 8.46032 36.1559 8.20846ZM19.9369 9.73661e-05C19.7594 2.92694 19.8384 6.65663 20.19 9.91293C17.3748 10.4109 14.7225 11.0064 12.1592 11.7038C12.0486 10.4257 11.9927 9.25764 11.9927 8.24178C11.9927 7.5054 11.3957 6.90844 10.6593 6.90844C9.92296 6.90844 9.32601 7.5054 9.32601 8.24178C9.32601 9.47868 9.42873 10.898 9.61402 12.438C8.33567 12.8278 7.07397 13.2443 5.81918 13.688C5.12493 13.9336 4.76118 14.6954 5.0067 15.3896C5.25223 16.0839 6.01406 16.4476 6.7083 16.2021C7.7931 15.8185 8.88482 15.4388 9.98927 15.0659C10.5222 18.3344 11.3344 21.9428 12.2703 25.4156C12.4336 26.0218 12.6062 26.6262 12.7863 27.2263C9.34168 28.4135 5.82612 29.3782 2.61128 29.8879C0.949407 26.9716 0 23.5967 0 20C0 8.97534 8.92023 0.0341108 19.9369 9.73661e-05ZM4.19152 32.2527C7.45069 36.4516 12.3458 39.3173 17.9204 39.8932C16.5916 37.455 14.9338 33.717 13.5405 29.5901C10.4404 30.7762 7.25883 31.6027 4.19152 32.2527ZM22.9735 23.1135C22.1479 20.41 21.4462 17.5441 20.9225 14.277C20.746 13.5841 20.5918 12.8035 20.4593 11.9636C17.6508 12.6606 14.9992 13.4372 12.4356 14.2598C12.8479 17.4766 13.5448 21.1334 14.5118 24.7218C14.662 25.2792 14.8081 25.8248 14.9514 26.3594L14.9516 26.3603L14.9524 26.3634L14.9526 26.3639L14.973 26.4401C16.1833 25.9872 17.3746 25.5123 18.53 25.0259C20.1235 24.3552 21.6051 23.7165 22.9735 23.1135Z" fill="#141519"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py b/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py
deleted file mode 100644
index 151cafec14..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GiteeAIProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        url = "https://ai.gitee.com/api/base/account/me"
-        headers = {
-            "accept": "application/json",
-            "authorization": f"Bearer {credentials.get('api_key')}",
-        }
-
-        response = requests.get(url, headers=headers)
-        if response.status_code != 200:
-            raise ToolProviderCredentialValidationError("GiteeAI API key is invalid")
diff --git a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml b/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml
deleted file mode 100644
index d0475665dd..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-identity:
-  author: Gitee AI
-  name: gitee_ai
-  label:
-    en_US: Gitee AI
-    zh_Hans: Gitee AI
-  description:
-    en_US: Quickly experience large models and explore the leading AI open source world
-    zh_Hans: 快速体验大模型，领先探索 AI 开源世界
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-    placeholder:
-      zh_Hans: 在此输入您的 API Key
-      en_US: Enter your API Key
-    url: https://ai.gitee.com/dashboard/settings/tokens
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py b/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py
deleted file mode 100644
index ab03759c19..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GiteeAIToolEmbedding(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "content-type": "application/json",
-            "authorization": f"Bearer {self.runtime.credentials['api_key']}",
-        }
-
-        payload = {"inputs": tool_parameters.get("inputs")}
-        model = tool_parameters.get("model", "bge-m3")
-        url = f"https://ai.gitee.com/api/serverless/{model}/embeddings"
-        response = requests.post(url, json=payload, headers=headers)
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response:{response.text}")
-
-        return [self.create_text_message(response.content.decode("utf-8"))]
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml
deleted file mode 100644
index 53e569d731..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-identity:
-  name: embedding
-  author: gitee_ai
-  label:
-    en_US: embedding
-  icon: icon.svg
-description:
-  human:
-    en_US: Generate word embeddings using Serverless-supported models (compatible with OpenAI)
-  llm: This tool is used to generate word embeddings from text input.
-parameters:
-  - name: model
-    type: string
-    required: true
-    in: path
-    description:
-      en_US: Supported Embedding (compatible with OpenAI) interface models
-    enum:
-      - bge-m3
-      - bge-large-zh-v1.5
-      - bge-small-zh-v1.5
-    label:
-      en_US: Service Model
-      zh_Hans: 服务模型
-    default: bge-m3
-    form: form
-  - name: inputs
-    type: string
-    required: true
-    label:
-      en_US: Input Text
-      zh_Hans: 输入文本
-    human_description:
-      en_US: The text input used to generate embeddings.
-      zh_Hans: 用于生成词向量的输入文本。
-    llm_description: This text input will be used to generate embeddings.
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py
deleted file mode 100644
index e3558ce699..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GiteeAIToolRiskControl(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "content-type": "application/json",
-            "authorization": f"Bearer {self.runtime.credentials['api_key']}",
-        }
-
-        inputs = [{"type": "text", "text": tool_parameters.get("input-text")}]
-        model = tool_parameters.get("model", "Security-semantic-filtering")
-        payload = {"model": model, "input": inputs}
-        url = "https://ai.gitee.com/v1/moderations"
-        response = requests.post(url, json=payload, headers=headers)
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response:{response.text}")
-
-        return [self.create_text_message(response.content.decode("utf-8"))]
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml
deleted file mode 100644
index 6e7229dc1c..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  name: risk control
-  author: gitee_ai
-  label:
-    en_US: risk control identification
-    zh_Hans: 风控识别
-  icon: icon.svg
-description:
-  human:
-    en_US: Ensuring the protection and compliance of sensitive information through the filtering and analysis of data semantics
-    zh_Hans: 通过对数据语义的过滤和分析，确保敏感信息的保护和合规性
-  llm: This tool is used to risk control identification.
-parameters:
-  - name: model
-    type: string
-    required: true
-    default: Security-semantic-filtering
-    label:
-      en_US: Service Model
-      zh_Hans: 服务模型
-    form: form
-  - name: input-text
-    type: string
-    required: true
-    label:
-      en_US: Input Text
-      zh_Hans: 输入文本
-    human_description:
-      en_US: The text input for filtering and analysis.
-      zh_Hans: 用于分析过滤的文本
-    llm_description: The text input for filtering and analysis.
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py b/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py
deleted file mode 100644
index bb0b2c915b..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GiteeAIToolText2Image(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "content-type": "application/json",
-            "authorization": f"Bearer {self.runtime.credentials['api_key']}",
-        }
-
-        payload = {
-            "inputs": tool_parameters.get("inputs"),
-            "width": tool_parameters.get("width", "720"),
-            "height": tool_parameters.get("height", "720"),
-        }
-        model = tool_parameters.get("model", "Kolors")
-        url = f"https://ai.gitee.com/api/serverless/{model}/text-to-image"
-
-        response = requests.post(url, json=payload, headers=headers)
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response:{response.text}")
-
-        # The returned image is base64 and needs to be mark as an image
-        result = [self.create_blob_message(blob=response.content, meta={"mime_type": "image/jpeg"})]
-
-        return result
diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml
deleted file mode 100644
index 5e03f9abe9..0000000000
--- a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: text to image
-  author: gitee_ai
-  label:
-    en_US: text to image
-  icon: icon.svg
-description:
-  human:
-    en_US: generate images using a variety of popular models
-  llm: This tool is used to generate image from text.
-parameters:
-  - name: model
-    type: select
-    required: true
-    options:
-      - value: flux-1-schnell
-        label:
-          en_US: flux-1-schnell
-      - value: Kolors
-        label:
-          en_US: Kolors
-      - value: stable-diffusion-3-medium
-        label:
-          en_US: stable-diffusion-3-medium
-      - value: stable-diffusion-xl-base-1.0
-        label:
-          en_US: stable-diffusion-xl-base-1.0
-      - value: stable-diffusion-v1-4
-        label:
-          en_US: stable-diffusion-v1-4
-    default: Kolors
-    label:
-      en_US: Choose Image Model
-      zh_Hans: 选择生成图片的模型
-    form: form
-  - name: inputs
-    type: string
-    required: true
-    label:
-      en_US: Input Text
-      zh_Hans: 输入文本
-    human_description:
-      en_US: The text input used to generate the image.
-      zh_Hans: 用于生成图片的输入文本。
-    llm_description: This text input will be used to generate image.
-    form: llm
-  - name: width
-    type: number
-    required: true
-    default: 720
-    min: 1
-    max: 1024
-    label:
-      en_US: Image Width
-      zh_Hans: 图片宽度
-    human_description:
-      en_US: The width of the generated image.
-      zh_Hans: 生成图片的宽度。
-    form: form
-  - name: height
-    type: number
-    required: true
-    default: 720
-    min: 1
-    max: 1024
-    label:
-      en_US: Image Height
-      zh_Hans: 图片高度
-    human_description:
-      en_US: The height of the generated image.
-      zh_Hans: 生成图片的高度。
-    form: form
diff --git a/api/core/tools/provider/builtin/github/_assets/icon.svg b/api/core/tools/provider/builtin/github/_assets/icon.svg
deleted file mode 100644
index d56adb2c2f..0000000000
--- a/api/core/tools/provider/builtin/github/_assets/icon.svg
+++ /dev/null
@@ -1,17 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg width="800px" height="800px" viewBox="0 0 20 20" version="1.1" xmlns="http://www.w3.org/2000/svg"
-     xmlns:xlink="http://www.w3.org/1999/xlink">
-    <title>github [#142]</title>
-    <desc>Created with Sketch.</desc>
-    <defs>
-    </defs>
-    <g id="Page-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
-        <g id="Dribbble-Light-Preview" transform="translate(-140.000000, -7559.000000)" fill="#000000">
-            <g id="icons" transform="translate(56.000000, 160.000000)">
-                <path d="M94,7399 C99.523,7399 104,7403.59 104,7409.253 C104,7413.782 101.138,7417.624 97.167,7418.981 C96.66,7419.082 96.48,7418.762 96.48,7418.489 C96.48,7418.151 96.492,7417.047 96.492,7415.675 C96.492,7414.719 96.172,7414.095 95.813,7413.777 C98.04,7413.523 100.38,7412.656 100.38,7408.718 C100.38,7407.598 99.992,7406.684 99.35,7405.966 C99.454,7405.707 99.797,7404.664 99.252,7403.252 C99.252,7403.252 98.414,7402.977 96.505,7404.303 C95.706,7404.076 94.85,7403.962 94,7403.958 C93.15,7403.962 92.295,7404.076 91.497,7404.303 C89.586,7402.977 88.746,7403.252 88.746,7403.252 C88.203,7404.664 88.546,7405.707 88.649,7405.966 C88.01,7406.684 87.619,7407.598 87.619,7408.718 C87.619,7412.646 89.954,7413.526 92.175,7413.785 C91.889,7414.041 91.63,7414.493 91.54,7415.156 C90.97,7415.418 89.522,7415.871 88.63,7414.304 C88.63,7414.304 88.101,7413.319 87.097,7413.247 C87.097,7413.247 86.122,7413.234 87.029,7413.87 C87.029,7413.87 87.684,7414.185 88.139,7415.37 C88.139,7415.37 88.726,7417.2 91.508,7416.58 C91.513,7417.437 91.522,7418.245 91.522,7418.489 C91.522,7418.76 91.338,7419.077 90.839,7418.982 C86.865,7417.627 84,7413.783 84,7409.253 C84,7403.59 88.478,7399 94,7399"
-                      id="github-[#142]">
-                </path>
-            </g>
-        </g>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/github/github.py b/api/core/tools/provider/builtin/github/github.py
deleted file mode 100644
index 87a34ac3e8..0000000000
--- a/api/core/tools/provider/builtin/github/github.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GithubProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            if "access_tokens" not in credentials or not credentials.get("access_tokens"):
-                raise ToolProviderCredentialValidationError("Github API Access Tokens is required.")
-            if "api_version" not in credentials or not credentials.get("api_version"):
-                api_version = "2022-11-28"
-            else:
-                api_version = credentials.get("api_version")
-
-            try:
-                headers = {
-                    "Content-Type": "application/vnd.github+json",
-                    "Authorization": f"Bearer {credentials.get('access_tokens')}",
-                    "X-GitHub-Api-Version": api_version,
-                }
-
-                response = requests.get(
-                    url="https://api.github.com/search/users?q={account}".format(account="charli117"), headers=headers
-                )
-                if response.status_code != 200:
-                    raise ToolProviderCredentialValidationError((response.json()).get("message"))
-            except Exception as e:
-                raise ToolProviderCredentialValidationError("Github API Key and Api Version is invalid. {}".format(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/github/github.yaml b/api/core/tools/provider/builtin/github/github.yaml
deleted file mode 100644
index c3d85fc3f6..0000000000
--- a/api/core/tools/provider/builtin/github/github.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-identity:
-  author: CharlieWei
-  name: github
-  label:
-    en_US: Github
-    zh_Hans: Github
-    pt_BR: Github
-  description:
-    en_US: GitHub is an online software source code hosting service.
-    zh_Hans: GitHub是一个在线软件源代码托管服务平台。
-    pt_BR: GitHub é uma plataforma online para serviços de hospedagem de código fonte de software.
-  icon: icon.svg
-  tags:
-    - utilities
-credentials_for_provider:
-  access_tokens:
-    type: secret-input
-    required: true
-    label:
-      en_US: Access Tokens
-      zh_Hans: Access Tokens
-      pt_BR: Tokens de acesso
-    placeholder:
-      en_US: Please input your Github Access Tokens
-      zh_Hans: 请输入你的 Github Access Tokens
-      pt_BR: Insira seus Tokens de Acesso do Github
-    help:
-      en_US: Get your Access Tokens from Github
-      zh_Hans: 从 Github 获取您的 Access Tokens
-      pt_BR: Obtenha sua chave da API do Google no Google
-    url: https://github.com/settings/tokens?type=beta
-  api_version:
-    type: text-input
-    required: false
-    default: '2022-11-28'
-    label:
-      en_US: API Version
-      zh_Hans: API Version
-      pt_BR: Versão da API
-    placeholder:
-      en_US: Please input your Github API Version
-      zh_Hans: 请输入你的 Github API Version
-      pt_BR: Insira sua versão da API do Github
-    help:
-      en_US: Get your API Version from Github
-      zh_Hans: 从 Github 获取您的 API Version
-      pt_BR: Obtenha sua versão da API do Github
-    url: https://docs.github.com/en/rest/about-the-rest-api/api-versions?apiVersion=2022-11-28
diff --git a/api/core/tools/provider/builtin/github/tools/github_repositories.py b/api/core/tools/provider/builtin/github/tools/github_repositories.py
deleted file mode 100644
index 32f9922e65..0000000000
--- a/api/core/tools/provider/builtin/github/tools/github_repositories.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import json
-from datetime import datetime
-from typing import Any, Union
-from urllib.parse import quote
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GithubRepositoriesTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        top_n = tool_parameters.get("top_n", 5)
-        query = tool_parameters.get("query", "")
-        if not query:
-            return self.create_text_message("Please input symbol")
-
-        if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"):
-            return self.create_text_message("Github API Access Tokens is required.")
-        if "api_version" not in self.runtime.credentials or not self.runtime.credentials.get("api_version"):
-            api_version = "2022-11-28"
-        else:
-            api_version = self.runtime.credentials.get("api_version")
-
-        try:
-            headers = {
-                "Content-Type": "application/vnd.github+json",
-                "Authorization": f"Bearer {self.runtime.credentials.get('access_tokens')}",
-                "X-GitHub-Api-Version": api_version,
-            }
-            s = requests.session()
-            api_domain = "https://api.github.com"
-            response = s.request(
-                method="GET",
-                headers=headers,
-                url=f"{api_domain}/search/repositories?q={quote(query)}&sort=stars&per_page={top_n}&order=desc",
-            )
-            response_data = response.json()
-            if response.status_code == 200 and isinstance(response_data.get("items"), list):
-                contents = []
-                if len(response_data.get("items")) > 0:
-                    for item in response_data.get("items"):
-                        content = {}
-                        updated_at_object = datetime.strptime(item["updated_at"], "%Y-%m-%dT%H:%M:%SZ")
-                        content["owner"] = item["owner"]["login"]
-                        content["name"] = item["name"]
-                        content["description"] = (
-                            item["description"][:100] + "..." if len(item["description"]) > 100 else item["description"]
-                        )
-                        content["url"] = item["html_url"]
-                        content["star"] = item["watchers"]
-                        content["forks"] = item["forks"]
-                        content["updated"] = updated_at_object.strftime("%Y-%m-%d")
-                        contents.append(content)
-                    s.close()
-                    return self.create_text_message(
-                        self.summary(user_id=user_id, content=json.dumps(contents, ensure_ascii=False))
-                    )
-                else:
-                    return self.create_text_message(f"No items related to {query} were found.")
-            else:
-                return self.create_text_message((response.json()).get("message"))
-        except Exception as e:
-            return self.create_text_message("Github API Key and Api Version is invalid. {}".format(e))
diff --git a/api/core/tools/provider/builtin/github/tools/github_repositories.yaml b/api/core/tools/provider/builtin/github/tools/github_repositories.yaml
deleted file mode 100644
index c170aee797..0000000000
--- a/api/core/tools/provider/builtin/github/tools/github_repositories.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-identity:
-  name: github_repositories
-  author: CharlieWei
-  label:
-    en_US: Search Repositories
-    zh_Hans: 仓库搜索
-    pt_BR: Pesquisar Repositórios
-  icon: icon.svg
-description:
-  human:
-    en_US: Search the Github repository to retrieve the open source projects you need
-    zh_Hans: 搜索Github仓库，检索你需要的开源项目。
-    pt_BR: Pesquise o repositório do Github para recuperar os projetos de código aberto necessários.
-  llm: A tool when you wants to search for popular warehouses or open source projects for any keyword. format query condition like "keywords+language:js", language can be other dev languages.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: query
-      zh_Hans: 关键字
-      pt_BR: consulta
-    human_description:
-      en_US: You want to find the project development language, keywords, For example. Find 10 Python developed PDF document parsing projects.
-      zh_Hans: 你想要找的项目开发语言、关键字，如：找10个Python开发的PDF文档解析项目。
-      pt_BR: Você deseja encontrar a linguagem de desenvolvimento do projeto, palavras-chave, Por exemplo. Encontre 10 projetos de análise de documentos PDF desenvolvidos em Python.
-    llm_description: The query of you want to search, format query condition like "keywords+language:js", language can be other dev languages.
-    form: llm
-  - name: top_n
-    type: number
-    default: 5
-    required: true
-    label:
-      en_US: Top N
-      zh_Hans: Top N
-      pt_BR: Topo N
-    human_description:
-      en_US: Number of records returned by sorting based on stars. 5 is returned by default.
-      zh_Hans: 基于stars排序返回的记录数, 默认返回5条。
-      pt_BR: Número de registros retornados por classificação com base em estrelas. 5 é retornado por padrão.
-    llm_description: Extract the first N records from the returned result.
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg b/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg
deleted file mode 100644
index 07734077d5..0000000000
--- a/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg
+++ /dev/null
@@ -1,2 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
-<svg width="24" height="25" viewBox="0 0 24 25" xmlns="http://www.w3.org/2000/svg" fill="none"><path fill="#FC6D26" d="M14.975 8.904L14.19 6.55l-1.552-4.67a.268.268 0 00-.255-.18.268.268 0 00-.254.18l-1.552 4.667H5.422L3.87 1.879a.267.267 0 00-.254-.179.267.267 0 00-.254.18l-1.55 4.667-.784 2.357a.515.515 0 00.193.583l6.78 4.812 6.778-4.812a.516.516 0 00.196-.583z"/><path fill="#E24329" d="M8 14.296l2.578-7.75H5.423L8 14.296z"/><path fill="#FC6D26" d="M8 14.296l-2.579-7.75H1.813L8 14.296z"/><path fill="#FCA326" d="M1.81 6.549l-.784 2.354a.515.515 0 00.193.583L8 14.3 1.81 6.55z"/><path fill="#E24329" d="M1.812 6.549h3.612L3.87 1.882a.268.268 0 00-.254-.18.268.268 0 00-.255.18L1.812 6.549z"/><path fill="#FC6D26" d="M8 14.296l2.578-7.75h3.614L8 14.296z"/><path fill="#FCA326" d="M14.19 6.549l.783 2.354a.514.514 0 01-.193.583L8 14.296l6.188-7.747h.001z"/><path fill="#E24329" d="M14.19 6.549H10.58l1.551-4.667a.267.267 0 01.255-.18c.115 0 .217.073.254.18l1.552 4.667z"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/gitlab/gitlab.py b/api/core/tools/provider/builtin/gitlab/gitlab.py
deleted file mode 100644
index 9bd4a0bd52..0000000000
--- a/api/core/tools/provider/builtin/gitlab/gitlab.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GitlabProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            if "access_tokens" not in credentials or not credentials.get("access_tokens"):
-                raise ToolProviderCredentialValidationError("Gitlab Access Tokens is required.")
-
-            if "site_url" not in credentials or not credentials.get("site_url"):
-                site_url = "https://gitlab.com"
-            else:
-                site_url = credentials.get("site_url")
-
-            try:
-                headers = {
-                    "Content-Type": "application/vnd.text+json",
-                    "Authorization": f"Bearer {credentials.get('access_tokens')}",
-                }
-
-                response = requests.get(url=f"{site_url}/api/v4/user", headers=headers)
-                if response.status_code != 200:
-                    raise ToolProviderCredentialValidationError((response.json()).get("message"))
-            except Exception as e:
-                raise ToolProviderCredentialValidationError("Gitlab Access Tokens is invalid. {}".format(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/gitlab/gitlab.yaml b/api/core/tools/provider/builtin/gitlab/gitlab.yaml
deleted file mode 100644
index 22d7ebf73a..0000000000
--- a/api/core/tools/provider/builtin/gitlab/gitlab.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  author: Leo.Wang
-  name: gitlab
-  label:
-    en_US: GitLab
-    zh_Hans: GitLab
-  description:
-    en_US: GitLab plugin, API v4 only.
-    zh_Hans: 用于获取GitLab内容的插件，目前仅支持 API v4。
-  icon: gitlab.svg
-credentials_for_provider:
-  access_tokens:
-    type: secret-input
-    required: true
-    label:
-      en_US: GitLab access token
-      zh_Hans: GitLab access token
-    placeholder:
-      en_US: Please input your GitLab access token
-      zh_Hans: 请输入你的 GitLab access token
-    help:
-      en_US: Get your GitLab access token from GitLab
-      zh_Hans: 从 GitLab 获取您的 access token
-    url: https://docs.gitlab.com/16.9/ee/api/oauth2.html
-  site_url:
-    type: text-input
-    required: false
-    default: 'https://gitlab.com'
-    label:
-      en_US: GitLab site url
-      zh_Hans: GitLab site url
-    placeholder:
-      en_US: Please input your GitLab site url
-      zh_Hans: 请输入你的 GitLab site url
-    help:
-      en_US: Find your GitLab url
-      zh_Hans: 找到你的 GitLab url
-    url: https://gitlab.com/help
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py
deleted file mode 100644
index 716da7c8c1..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import json
-import urllib.parse
-from datetime import datetime, timedelta
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GitlabCommitsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        branch = tool_parameters.get("branch", "")
-        repository = tool_parameters.get("repository", "")
-        employee = tool_parameters.get("employee", "")
-        start_time = tool_parameters.get("start_time", "")
-        end_time = tool_parameters.get("end_time", "")
-        change_type = tool_parameters.get("change_type", "all")
-
-        if not repository:
-            return self.create_text_message("Either repository is required")
-
-        if not start_time:
-            start_time = (datetime.utcnow() - timedelta(days=1)).isoformat()
-        if not end_time:
-            end_time = datetime.utcnow().isoformat()
-
-        access_token = self.runtime.credentials.get("access_tokens")
-        site_url = self.runtime.credentials.get("site_url")
-
-        if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"):
-            return self.create_text_message("Gitlab API Access Tokens is required.")
-        if "site_url" not in self.runtime.credentials or not self.runtime.credentials.get("site_url"):
-            site_url = "https://gitlab.com"
-
-        # Get commit content
-        result = self.fetch_commits(
-            site_url, access_token, repository, branch, employee, start_time, end_time, change_type, is_repository=True
-        )
-
-        return [self.create_json_message(item) for item in result]
-
-    def fetch_commits(
-        self,
-        site_url: str,
-        access_token: str,
-        repository: str,
-        branch: str,
-        employee: str,
-        start_time: str,
-        end_time: str,
-        change_type: str,
-        is_repository: bool,
-    ) -> list[dict[str, Any]]:
-        domain = site_url
-        headers = {"PRIVATE-TOKEN": access_token}
-        results = []
-
-        try:
-            # URL encode the repository path
-            encoded_repository = urllib.parse.quote(repository, safe="")
-            commits_url = f"{domain}/api/v4/projects/{encoded_repository}/repository/commits"
-
-            # Fetch commits for the repository
-            params = {"since": start_time, "until": end_time}
-            if branch:
-                params["ref_name"] = branch
-            if employee:
-                params["author"] = employee
-
-            commits_response = requests.get(commits_url, headers=headers, params=params)
-            commits_response.raise_for_status()
-            commits = commits_response.json()
-
-            for commit in commits:
-                commit_sha = commit["id"]
-                author_name = commit["author_name"]
-
-                diff_url = f"{domain}/api/v4/projects/{encoded_repository}/repository/commits/{commit_sha}/diff"
-
-                diff_response = requests.get(diff_url, headers=headers)
-                diff_response.raise_for_status()
-                diffs = diff_response.json()
-
-                for diff in diffs:
-                    # Calculate code lines of changes
-                    added_lines = diff["diff"].count("\n+")
-                    removed_lines = diff["diff"].count("\n-")
-                    total_changes = added_lines + removed_lines
-
-                    if change_type == "new":
-                        if added_lines > 1:
-                            final_code = "".join(
-                                [
-                                    line[1:]
-                                    for line in diff["diff"].split("\n")
-                                    if line.startswith("+") and not line.startswith("+++")
-                                ]
-                            )
-                            results.append(
-                                {
-                                    "diff_url": diff_url,
-                                    "commit_sha": commit_sha,
-                                    "author_name": author_name,
-                                    "diff": final_code,
-                                }
-                            )
-                    else:
-                        if total_changes > 1:
-                            final_code = "".join(
-                                [
-                                    line[1:]
-                                    for line in diff["diff"].split("\n")
-                                    if (line.startswith("+") or line.startswith("-"))
-                                    and not line.startswith("+++")
-                                    and not line.startswith("---")
-                                ]
-                            )
-                            final_code_escaped = json.dumps(final_code)[1:-1]  # Escape the final code
-                            results.append(
-                                {
-                                    "diff_url": diff_url,
-                                    "commit_sha": commit_sha,
-                                    "author_name": author_name,
-                                    "diff": final_code_escaped,
-                                }
-                            )
-        except requests.RequestException as e:
-            print(f"Error fetching data from GitLab: {e}")
-
-        return results
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml
deleted file mode 100644
index 2ff5fb570e..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-identity:
-  name: gitlab_commits
-  author: Leo.Wang
-  label:
-    en_US: GitLab Commits
-    zh_Hans: GitLab 提交内容查询
-description:
-  human:
-    en_US: A tool for query GitLab commits, Input should be a exists username or project.
-    zh_Hans: 一个用于查询 GitLab 代码提交内容的工具，输入的内容应该是一个已存在的用户名或者项目名。
-  llm: A tool for query GitLab commits, Input should be a exists username or project.
-parameters:
-  - name: username
-    type: string
-    required: false
-    label:
-      en_US: username
-      zh_Hans: 员工用户名
-    human_description:
-      en_US: username
-      zh_Hans: 员工用户名
-    llm_description: User name for GitLab
-    form: llm
-  - name: repository
-    type: string
-    required: true
-    label:
-      en_US: repository
-      zh_Hans: 仓库路径
-    human_description:
-      en_US: repository
-      zh_Hans: 仓库路径，以namespace/project_name的形式。
-    llm_description: Repository path for GitLab, like namespace/project_name.
-    form: llm
-  - name: branch
-    type: string
-    required: false
-    label:
-      en_US: branch
-      zh_Hans: 分支名
-    human_description:
-      en_US: branch
-      zh_Hans: 分支名
-    llm_description: branch for GitLab
-    form: llm
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: start_time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: start_time
-      zh_Hans: 开始时间
-    llm_description: Start time for GitLab
-    form: llm
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: end_time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: end_time
-      zh_Hans: 结束时间
-    llm_description: End time for GitLab
-    form: llm
-  - name: change_type
-    type: select
-    required: false
-    options:
-      - value: all
-        label:
-          en_US: all
-          zh_Hans: 所有
-      - value: new
-        label:
-          en_US: new
-          zh_Hans: 新增
-    default: all
-    label:
-      en_US: change_type
-      zh_Hans: 变更类型
-    human_description:
-      en_US: change_type
-      zh_Hans: 变更类型
-    llm_description: Content change type for GitLab
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py
deleted file mode 100644
index 0ac9e2777d..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import urllib.parse
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GitlabFilesTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        repository = tool_parameters.get("repository", "")
-        project = tool_parameters.get("project", "")
-        branch = tool_parameters.get("branch", "")
-        path = tool_parameters.get("path", "")
-        file_path = tool_parameters.get("file_path", "")
-
-        if not repository and not project:
-            return self.create_text_message("Either repository or project is required")
-        if not branch:
-            return self.create_text_message("Branch is required")
-        if not path and not file_path:
-            return self.create_text_message("Either path or file_path is required")
-
-        access_token = self.runtime.credentials.get("access_tokens")
-        headers = {"PRIVATE-TOKEN": access_token}
-        site_url = self.runtime.credentials.get("site_url")
-
-        if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"):
-            return self.create_text_message("Gitlab API Access Tokens is required.")
-        if "site_url" not in self.runtime.credentials or not self.runtime.credentials.get("site_url"):
-            site_url = "https://gitlab.com"
-
-        if repository:
-            # URL encode the repository path
-            identifier = urllib.parse.quote(repository, safe="")
-        else:
-            identifier = self.get_project_id(site_url, access_token, project)
-            if not identifier:
-                raise Exception(f"Project '{project}' not found.)")
-
-        # Get file content
-        if path:
-            results = self.fetch_files(site_url, headers, identifier, branch, path)
-            return [self.create_json_message(item) for item in results]
-        else:
-            result = self.fetch_file(site_url, headers, identifier, branch, file_path)
-            return [self.create_json_message(result)]
-
-    @staticmethod
-    def fetch_file(
-        site_url: str,
-        headers: dict[str, str],
-        identifier: str,
-        branch: str,
-        path: str,
-    ) -> dict[str, Any]:
-        encoded_file_path = urllib.parse.quote(path, safe="")
-        file_url = f"{site_url}/api/v4/projects/{identifier}/repository/files/{encoded_file_path}/raw?ref={branch}"
-
-        file_response = requests.get(file_url, headers=headers)
-        file_response.raise_for_status()
-        file_content = file_response.text
-        return {"path": path, "branch": branch, "content": file_content}
-
-    def fetch_files(
-        self, site_url: str, headers: dict[str, str], identifier: str, branch: str, path: str
-    ) -> list[dict[str, Any]]:
-        results = []
-
-        try:
-            tree_url = f"{site_url}/api/v4/projects/{identifier}/repository/tree?path={path}&ref={branch}"
-            response = requests.get(tree_url, headers=headers)
-            response.raise_for_status()
-            items = response.json()
-
-            for item in items:
-                item_path = item["path"]
-                if item["type"] == "tree":  # It's a directory
-                    results.extend(self.fetch_files(site_url, headers, identifier, branch, item_path))
-                else:  # It's a file
-                    result = self.fetch_file(site_url, headers, identifier, branch, item_path)
-                    results.append(result)
-        except requests.RequestException as e:
-            print(f"Error fetching data from GitLab: {e}")
-
-        return results
-
-    def get_project_id(self, site_url: str, access_token: str, project_name: str) -> Union[str, None]:
-        headers = {"PRIVATE-TOKEN": access_token}
-        try:
-            url = f"{site_url}/api/v4/projects?search={project_name}"
-            response = requests.get(url, headers=headers)
-            response.raise_for_status()
-            projects = response.json()
-            for project in projects:
-                if project["name"] == project_name:
-                    return project["id"]
-        except requests.RequestException as e:
-            print(f"Error fetching project ID from GitLab: {e}")
-        return None
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml
deleted file mode 100644
index 3371f62fa8..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml
+++ /dev/null
@@ -1,65 +0,0 @@
-identity:
-  name: gitlab_files
-  author: Leo.Wang
-  label:
-    en_US: GitLab Files
-    zh_Hans: GitLab 文件获取
-description:
-  human:
-    en_US: A tool for query GitLab files, Input should be branch and a exists file or directory path.
-    zh_Hans: 一个用于查询 GitLab 文件的工具，输入的内容应该是分支和一个已存在文件或者文件夹路径。
-  llm: A tool for query GitLab files, Input should be a exists file or directory path.
-parameters:
-  - name: repository
-    type: string
-    required: false
-    label:
-      en_US: repository
-      zh_Hans: 仓库路径
-    human_description:
-      en_US: repository
-      zh_Hans: 仓库路径，以namespace/project_name的形式。
-    llm_description: Repository path for GitLab, like namespace/project_name.
-    form: llm
-  - name: project
-    type: string
-    required: false
-    label:
-      en_US: project
-      zh_Hans: 项目
-    human_description:
-      en_US: project
-      zh_Hans: 项目(和仓库路径二选一,都填写以仓库路径优先)
-    llm_description: Project for GitLab
-    form: llm
-  - name: branch
-    type: string
-    required: true
-    label:
-      en_US: branch
-      zh_Hans: 分支
-    human_description:
-      en_US: branch
-      zh_Hans: 分支
-    llm_description: Branch for GitLab
-    form: llm
-  - name: path
-    type: string
-    label:
-      en_US: path
-      zh_Hans: 文件夹
-    human_description:
-      en_US: path
-      zh_Hans: 文件夹
-    llm_description: Dir path for GitLab
-    form: llm
-  - name: file_path
-    type: string
-    label:
-      en_US: file_path
-      zh_Hans: 文件路径
-    human_description:
-      en_US: file_path
-      zh_Hans: 文件路径(和文件夹二选一,都填写以文件夹优先)
-    llm_description: File path for GitLab
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py
deleted file mode 100644
index ef99fa82e9..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import urllib.parse
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GitlabMergeRequestsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        repository = tool_parameters.get("repository", "")
-        branch = tool_parameters.get("branch", "")
-        start_time = tool_parameters.get("start_time", "")
-        end_time = tool_parameters.get("end_time", "")
-        state = tool_parameters.get("state", "opened")  # Default to "opened"
-
-        if not repository:
-            return self.create_text_message("Repository is required")
-
-        access_token = self.runtime.credentials.get("access_tokens")
-        site_url = self.runtime.credentials.get("site_url")
-
-        if not access_token:
-            return self.create_text_message("Gitlab API Access Tokens is required.")
-        if not site_url:
-            site_url = "https://gitlab.com"
-
-        # Get merge requests
-        result = self.get_merge_requests(site_url, access_token, repository, branch, start_time, end_time, state)
-
-        return [self.create_json_message(item) for item in result]
-
-    def get_merge_requests(
-        self, site_url: str, access_token: str, repository: str, branch: str, start_time: str, end_time: str, state: str
-    ) -> list[dict[str, Any]]:
-        domain = site_url
-        headers = {"PRIVATE-TOKEN": access_token}
-        results = []
-
-        try:
-            # URL encode the repository path
-            encoded_repository = urllib.parse.quote(repository, safe="")
-            merge_requests_url = f"{domain}/api/v4/projects/{encoded_repository}/merge_requests"
-            params = {"state": state}
-
-            # Add time filters if provided
-            if start_time:
-                params["created_after"] = start_time
-            if end_time:
-                params["created_before"] = end_time
-
-            response = requests.get(merge_requests_url, headers=headers, params=params)
-            response.raise_for_status()
-            merge_requests = response.json()
-
-            for mr in merge_requests:
-                # Filter by target branch
-                if branch and mr["target_branch"] != branch:
-                    continue
-
-                results.append(
-                    {
-                        "id": mr["id"],
-                        "title": mr["title"],
-                        "author": mr["author"]["name"],
-                        "web_url": mr["web_url"],
-                        "target_branch": mr["target_branch"],
-                        "created_at": mr["created_at"],
-                        "state": mr["state"],
-                    }
-                )
-        except requests.RequestException as e:
-            print(f"Error fetching merge requests from GitLab: {e}")
-
-        return results
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml
deleted file mode 100644
index 81adb3db7d..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
-identity:
-  name: gitlab_mergerequests
-  author: Leo.Wang
-  label:
-    en_US: GitLab Merge Requests
-    zh_Hans: GitLab 合并请求查询
-description:
-  human:
-    en_US: A tool for query GitLab merge requests, Input should be a exists repository or branch.
-    zh_Hans: 一个用于查询 GitLab 代码合并请求的工具，输入的内容应该是一个已存在的仓库名或者分支。
-  llm: A tool for query GitLab merge requests, Input should be a exists repository or branch.
-parameters:
-  - name: repository
-    type: string
-    required: false
-    label:
-      en_US: repository
-      zh_Hans: 仓库路径
-    human_description:
-      en_US: repository
-      zh_Hans: 仓库路径，以namespace/project_name的形式。
-    llm_description: Repository path for GitLab, like namespace/project_name.
-    form: llm
-  - name: branch
-    type: string
-    required: false
-    label:
-      en_US: branch
-      zh_Hans: 分支名
-    human_description:
-      en_US: branch
-      zh_Hans: 分支名
-    llm_description: branch for GitLab
-    form: llm
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: start_time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: start_time
-      zh_Hans: 开始时间
-    llm_description: Start time for GitLab
-    form: llm
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: end_time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: end_time
-      zh_Hans: 结束时间
-    llm_description: End time for GitLab
-    form: llm
-  - name: state
-    type: select
-    required: false
-    options:
-      - value: opened
-        label:
-          en_US: opened
-          zh_Hans: 打开
-      - value: closed
-        label:
-          en_US: closed
-          zh_Hans: 关闭
-    default: opened
-    label:
-      en_US: state
-      zh_Hans: 变更状态
-    human_description:
-      en_US: state
-      zh_Hans: 变更状态
-    llm_description: Merge request state type for GitLab
-    form: llm
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py
deleted file mode 100644
index ea0c028b4f..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py
+++ /dev/null
@@ -1,81 +0,0 @@
-import urllib.parse
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GitlabProjectsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        project_name = tool_parameters.get("project_name", "")
-        page = tool_parameters.get("page", 1)
-        page_size = tool_parameters.get("page_size", 20)
-
-        access_token = self.runtime.credentials.get("access_tokens")
-        site_url = self.runtime.credentials.get("site_url")
-
-        if not access_token:
-            return self.create_text_message("Gitlab API Access Tokens is required.")
-        if not site_url:
-            site_url = "https://gitlab.com"
-
-        # Get project content
-        result = self.fetch_projects(site_url, access_token, project_name, page, page_size)
-
-        return [self.create_json_message(item) for item in result]
-
-    def fetch_projects(
-        self,
-        site_url: str,
-        access_token: str,
-        project_name: str,
-        page: str,
-        page_size: str,
-    ) -> list[dict[str, Any]]:
-        domain = site_url
-        headers = {"PRIVATE-TOKEN": access_token}
-        results = []
-
-        try:
-            if project_name:
-                # URL encode the project name for the search query
-                encoded_project_name = urllib.parse.quote(project_name, safe="")
-                projects_url = (
-                    f"{domain}/api/v4/projects?search={encoded_project_name}&page={page}&per_page={page_size}"
-                )
-            else:
-                projects_url = f"{domain}/api/v4/projects?page={page}&per_page={page_size}"
-
-            response = requests.get(projects_url, headers=headers)
-            response.raise_for_status()
-            projects = response.json()
-
-            for project in projects:
-                # Filter projects by exact name match if necessary
-                if project_name and project["name"].lower() == project_name.lower():
-                    results.append(
-                        {
-                            "id": project["id"],
-                            "name": project["name"],
-                            "description": project.get("description", ""),
-                            "web_url": project["web_url"],
-                        }
-                    )
-                elif not project_name:
-                    # If no specific project name is provided, add all projects
-                    results.append(
-                        {
-                            "id": project["id"],
-                            "name": project["name"],
-                            "description": project.get("description", ""),
-                            "web_url": project["web_url"],
-                        }
-                    )
-        except requests.RequestException as e:
-            print(f"Error fetching data from GitLab: {e}")
-
-        return results
diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml
deleted file mode 100644
index 5fe098e1f7..0000000000
--- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml
+++ /dev/null
@@ -1,45 +0,0 @@
-identity:
-  name: gitlab_projects
-  author: Leo.Wang
-  label:
-    en_US: GitLab Projects
-    zh_Hans: GitLab 项目列表查询
-description:
-  human:
-    en_US: A tool for query GitLab projects, Input should be a project name.
-    zh_Hans: 一个用于查询 GitLab 项目列表的工具，输入的内容应该是一个项目名称。
-  llm: A tool for query GitLab projects, Input should be a project name.
-parameters:
-  - name: project_name
-    type: string
-    required: false
-    label:
-      en_US: project_name
-      zh_Hans: 项目名称
-    human_description:
-      en_US: project_name
-      zh_Hans: 项目名称
-    llm_description: Project name for GitLab
-    form: llm
-  - name: page
-    type: string
-    required: false
-    label:
-      en_US: page
-      zh_Hans: 页码
-    human_description:
-      en_US: page
-      zh_Hans: 页码
-    llm_description: Page index for GitLab
-    form: llm
-  - name: page_size
-    type: string
-    required: false
-    label:
-      en_US: page_size
-      zh_Hans: 每页数量
-    human_description:
-      en_US: page_size
-      zh_Hans: 每页数量
-    llm_description: Page size for GitLab
-    form: llm
diff --git a/api/core/tools/provider/builtin/google/_assets/icon.svg b/api/core/tools/provider/builtin/google/_assets/icon.svg
deleted file mode 100644
index bebbf52d3a..0000000000
--- a/api/core/tools/provider/builtin/google/_assets/icon.svg
+++ /dev/null
@@ -1,6 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="25" viewBox="0 0 24 25" fill="none">
-  <path d="M22.501 12.7332C22.501 11.8699 22.4296 11.2399 22.2748 10.5865H12.2153V14.4832H18.12C18.001 15.4515 17.3582 16.9099 15.9296 17.8898L15.9096 18.0203L19.0902 20.435L19.3106 20.4565C21.3343 18.6249 22.501 15.9298 22.501 12.7332Z" fill="#4285F4"/>
-  <path d="M12.214 23C15.1068 23 17.5353 22.0666 19.3092 20.4567L15.9282 17.8899C15.0235 18.5083 13.8092 18.9399 12.214 18.9399C9.38069 18.9399 6.97596 17.1083 6.11874 14.5766L5.99309 14.5871L2.68583 17.0954L2.64258 17.2132C4.40446 20.6433 8.0235 23 12.214 23Z" fill="#34A853"/>
-  <path d="M6.12046 14.5766C5.89428 13.9233 5.76337 13.2233 5.76337 12.5C5.76337 11.7766 5.89428 11.0766 6.10856 10.4233L6.10257 10.2841L2.75386 7.7355L2.64429 7.78658C1.91814 9.20993 1.50146 10.8083 1.50146 12.5C1.50146 14.1916 1.91814 15.7899 2.64429 17.2132L6.12046 14.5766Z" fill="#FBBC05"/>
-  <path d="M12.2141 6.05997C14.2259 6.05997 15.583 6.91163 16.3569 7.62335L19.3807 4.73C17.5236 3.03834 15.1069 2 12.2141 2C8.02353 2 4.40447 4.35665 2.64258 7.78662L6.10686 10.4233C6.97598 7.89166 9.38073 6.05997 12.2141 6.05997Z" fill="#EB4335"/>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/google/google.py b/api/core/tools/provider/builtin/google/google.py
deleted file mode 100644
index 6b5395f9d3..0000000000
--- a/api/core/tools/provider/builtin/google/google.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.google.tools.google_search import GoogleSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GoogleProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            GoogleSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"query": "test", "result_type": "link"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/google/google.yaml b/api/core/tools/provider/builtin/google/google.yaml
deleted file mode 100644
index afb4d5b214..0000000000
--- a/api/core/tools/provider/builtin/google/google.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: Dify
-  name: google
-  label:
-    en_US: Google
-    zh_Hans: Google
-    pt_BR: Google
-  description:
-    en_US: Google
-    zh_Hans: GoogleSearch
-    pt_BR: Google
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  serpapi_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: SerpApi API key
-      zh_Hans: SerpApi API key
-      pt_BR: SerpApi API key
-    placeholder:
-      en_US: Please input your SerpApi API key
-      zh_Hans: 请输入你的 SerpApi API key
-      pt_BR: Please input your SerpApi API key
-    help:
-      en_US: Get your SerpApi API key from SerpApi
-      zh_Hans: 从 SerpApi 获取您的 SerpApi API key
-      pt_BR: Get your SerpApi API key from SerpApi
-    url: https://serpapi.com/manage-api-key
diff --git a/api/core/tools/provider/builtin/google/tools/google_search.py b/api/core/tools/provider/builtin/google/tools/google_search.py
deleted file mode 100644
index a9f65925d8..0000000000
--- a/api/core/tools/provider/builtin/google/tools/google_search.py
+++ /dev/null
@@ -1,40 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SERP_API_URL = "https://serpapi.com/search"
-
-
-class GoogleSearchTool(BuiltinTool):
-    def _parse_response(self, response: dict) -> dict:
-        result = {}
-        if "knowledge_graph" in response:
-            result["title"] = response["knowledge_graph"].get("title", "")
-            result["description"] = response["knowledge_graph"].get("description", "")
-        if "organic_results" in response:
-            result["organic_results"] = [
-                {"title": item.get("title", ""), "link": item.get("link", ""), "snippet": item.get("snippet", "")}
-                for item in response["organic_results"]
-            ]
-        return result
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        params = {
-            "api_key": self.runtime.credentials["serpapi_api_key"],
-            "q": tool_parameters["query"],
-            "engine": "google",
-            "google_domain": "google.com",
-            "gl": "us",
-            "hl": "en",
-        }
-        response = requests.get(url=SERP_API_URL, params=params)
-        response.raise_for_status()
-        valuable_res = self._parse_response(response.json())
-        return self.create_json_message(valuable_res)
diff --git a/api/core/tools/provider/builtin/google/tools/google_search.yaml b/api/core/tools/provider/builtin/google/tools/google_search.yaml
deleted file mode 100644
index 72db3839eb..0000000000
--- a/api/core/tools/provider/builtin/google/tools/google_search.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: google_search
-  author: Dify
-  label:
-    en_US: GoogleSearch
-    zh_Hans: 谷歌搜索
-    pt_BR: GoogleSearch
-description:
-  human:
-    en_US: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
-    zh_Hans: 一个用于执行 Google SERP 搜索并提取片段和网页的工具。输入应该是一个搜索查询。
-    pt_BR: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
-  llm: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: used for searching
-      zh_Hans: 用于搜索网页内容
-      pt_BR: used for searching
-    llm_description: key words for searching
-    form: llm
diff --git a/api/core/tools/provider/builtin/google_translate/_assets/icon.svg b/api/core/tools/provider/builtin/google_translate/_assets/icon.svg
deleted file mode 100644
index de69a9c5e5..0000000000
--- a/api/core/tools/provider/builtin/google_translate/_assets/icon.svg
+++ /dev/null
@@ -1,18 +0,0 @@
-<svg version="1.1" xmlns="http://www.w3.org/2000/svg" x="0" y="0" viewBox="0 0 998.1 998.3" xml:space="preserve">
-  <path fill="#DBDBDB" d="M931.7 998.3c36.5 0 66.4-29.4 66.4-65.4V265.8c0-36-29.9-65.4-66.4-65.4H283.6l260.1 797.9h388z"/>
-  <path fill="#DCDCDC" d="M931.7 230.4c9.7 0 18.9 3.8 25.8 10.6 6.8 6.7 10.6 15.5 10.6 24.8v667.1c0 9.3-3.7 18.1-10.6 24.8-6.9 6.8-16.1 10.6-25.8 10.6H565.5L324.9 230.4h606.8m0-30H283.6l260.1 797.9h388c36.5 0 66.4-29.4 66.4-65.4V265.8c0-36-29.9-65.4-66.4-65.4z"/>
-  <polygon fill="#4352B8" points="482.3,809.8 543.7,998.3 714.4,809.8"/>
-  <path fill="#607988" d="M936.1 476.1V437H747.6v-63.2h-61.2V437H566.1v39.1h239.4c-12.8 45.1-41.1 87.7-68.7 120.8-48.9-57.9-49.1-76.7-49.1-76.7h-50.8s2.1 28.2 70.7 108.6c-22.3 22.8-39.2 36.3-39.2 36.3l15.6 48.8s23.6-20.3 53.1-51.6c29.6 32.1 67.8 70.7 117.2 116.7l32.1-32.1c-52.9-48-91.7-86.1-120.2-116.7 38.2-45.2 77-102.1 85.2-154.2H936v.1z"/>
-  <path fill="#4285F4" d="M66.4 0C29.9 0 0 29.9 0 66.5v677c0 36.5 29.9 66.4 66.4 66.4h648.1L454.4 0h-388z"/>
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-    <stop offset="0" stop-color="#fff" stop-opacity=".2"/>
-    <stop offset="1" stop-color="#fff" stop-opacity=".02"/>
-  </linearGradient>
-  <path fill="url(#a)" d="M534.3 200.4h397.4c36.5 0 66.4 29.4 66.4 65.4V666L534.3 200.4z"/>
-  <path fill="#EEEEEE" d="M371.4 430.6c-2.5 30.3-28.4 75.2-91.1 75.2-54.3 0-98.3-44.9-98.3-100.2s44-100.2 98.3-100.2c30.9 0 51.5 13.4 63.3 24.3l41.2-39.6c-27.1-25-62.4-40.6-104.5-40.6-86.1 0-156 69.9-156 156s69.9 156 156 156c90.2 0 149.8-63.3 149.8-152.6 0-12.8-1.6-22.2-3.7-31.8h-146v53.4l91 .1z"/>
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-    <stop offset="0" stop-color="#fff" stop-opacity=".1"/>
-    <stop offset="1" stop-color="#fff" stop-opacity="0"/>
-  </radialGradient>
-  <path fill="url(#b)" d="M931.7 200.4H518.8L454.4 0h-388C29.9 0 0 29.9 0 66.5v677c0 36.5 29.9 66.4 66.4 66.4h415.9l61.4 188.4h388c36.5 0 66.4-29.4 66.4-65.4V265.8c0-36-29.9-65.4-66.4-65.4z"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/google_translate/google_translate.py b/api/core/tools/provider/builtin/google_translate/google_translate.py
deleted file mode 100644
index ea53aa4eeb..0000000000
--- a/api/core/tools/provider/builtin/google_translate/google_translate.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.google_translate.tools.translate import GoogleTranslate
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class JsonExtractProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            GoogleTranslate().invoke(user_id="", tool_parameters={"content": "这是一段测试文本", "dest": "en"})
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/google_translate/google_translate.yaml b/api/core/tools/provider/builtin/google_translate/google_translate.yaml
deleted file mode 100644
index 8bc821a3d5..0000000000
--- a/api/core/tools/provider/builtin/google_translate/google_translate.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-identity:
-  author: Ron Liu
-  name: google_translate
-  label:
-    en_US: Google Translate
-    zh_Hans: 谷歌翻译
-  description:
-    en_US: Translate text using Google
-    zh_Hans: 使用 Google 进行翻译
-  icon: icon.svg
-  tags:
-    - utilities
diff --git a/api/core/tools/provider/builtin/google_translate/tools/translate.py b/api/core/tools/provider/builtin/google_translate/tools/translate.py
deleted file mode 100644
index ea3f2077d5..0000000000
--- a/api/core/tools/provider/builtin/google_translate/tools/translate.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GoogleTranslate(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        dest = tool_parameters.get("dest", "")
-        if not dest:
-            return self.create_text_message("Invalid parameter destination language")
-
-        try:
-            result = self._translate(content, dest)
-            return self.create_text_message(str(result))
-        except Exception:
-            return self.create_text_message("Translation service error, please check the network")
-
-    def _translate(self, content: str, dest: str) -> str:
-        try:
-            url = "https://translate.googleapis.com/translate_a/single"
-            params = {"client": "gtx", "sl": "auto", "tl": dest, "dt": "t", "q": content}
-
-            headers = {
-                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
-                " Chrome/91.0.4472.124 Safari/537.36"
-            }
-
-            response_json = requests.get(url, params=params, headers=headers).json()
-            result = response_json[0]
-            translated_text = "".join([item[0] for item in result if item[0]])
-            return str(translated_text)
-        except Exception as e:
-            return str(e)
diff --git a/api/core/tools/provider/builtin/google_translate/tools/translate.yaml b/api/core/tools/provider/builtin/google_translate/tools/translate.yaml
deleted file mode 100644
index a4189cd743..0000000000
--- a/api/core/tools/provider/builtin/google_translate/tools/translate.yaml
+++ /dev/null
@@ -1,215 +0,0 @@
-identity:
-  name: translate
-  author: Ron Liu
-  label:
-    en_US: Translate
-    zh_Hans: 翻译
-description:
-  human:
-    en_US: A tool for Google Translate
-    zh_Hans: Google 翻译
-  llm: A tool for Google Translate
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: Text content
-      zh_Hans: 文本内容
-    human_description:
-      en_US: Text content
-      zh_Hans: 需要翻译的文本内容
-    llm_description: Text content
-    form: llm
-  - name: dest
-    type: select
-    required: true
-    label:
-      en_US: destination language
-      zh_Hans: 目标语言
-    human_description:
-      en_US: The destination language you want to translate.
-      zh_Hans: 你想翻译的目标语言
-    default: en
-    form: form
-    options:
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
diff --git a/api/core/tools/provider/builtin/hap/_assets/icon.svg b/api/core/tools/provider/builtin/hap/_assets/icon.svg
deleted file mode 100644
index 0fa6f0886f..0000000000
--- a/api/core/tools/provider/builtin/hap/_assets/icon.svg
+++ /dev/null
@@ -1,16 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="80" height="80" viewBox="0 0 80 80">
-  <defs>
-    <clipPath id="clip-画板_16">
-      <rect width="80" height="80"/>
-    </clipPath>
-  </defs>
-  <g id="画板_16" data-name="画板 – 16" clip-path="url(#clip-画板_16)">
-    <g id="组_27" data-name="组 27">
-      <circle id="椭圆_13" data-name="椭圆 13" cx="40" cy="40" r="40" fill="#3e96f3"/>
-      <g id="组_26" data-name="组 26" transform="translate(16.361 16.674)">
-        <path id="路径_63230" data-name="路径 63230" d="M92.52,179.361c5.974,0,8.592-2.307,8.592-8.2,0-6.428.067-32.5.067-32.5h-.738a5.221,5.221,0,0,0-4.005,1.344H86.076A5.3,5.3,0,0,0,82,138.6h-.582v32.855c0,5.487,2.461,7.906,8.413,7.906Zm-5.348-33.93h8.189c-.022,4.457-.022,8.04-.022,10.952H87.15C87.15,153.471,87.173,149.888,87.173,145.431Zm-.067,25.823c0-2.016,0-3.315.022-9.451h8.189c-.022,6.316-.022,7.547-.022,9.429,0,1.792-1.052,2.71-2.842,2.71H89.7A2.447,2.447,0,0,1,87.106,171.253Z" transform="translate(-81.4 -137.973)" fill="#fff"/>
-        <path id="路径_63231" data-name="路径 63231" d="M172.508,168.341h12.373v6.495c0,2.508-.873,3.27-3.468,3.27H178.84v4.972h4.027c5.437,0,7.988-2.419,7.988-7.637V143.549c0-5.33-2.17-7.749-8.323-7.749h-7.719c-6.22,0-8.323,2.441-8.323,7.7v27.413c0,3.942-1.611,6.293-4.99,7.525v4.614c7.652-.851,10.986-4.838,10.986-12.027C172.508,170.178,172.508,169.26,172.508,168.341Zm0-24.255c0-2.038.85-2.844,3.132-2.844h6.332c1.991,0,2.909.9,2.909,2.934v4.994H172.508Zm0,10.5h12.373v8.331H172.508Z" transform="translate(-143.578 -135.8)" fill="#fff"/>
-      </g>
-    </g>
-  </g>
-</svg>
diff --git a/api/core/tools/provider/builtin/hap/hap.py b/api/core/tools/provider/builtin/hap/hap.py
deleted file mode 100644
index cbdf950465..0000000000
--- a/api/core/tools/provider/builtin/hap/hap.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class HapProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        pass
diff --git a/api/core/tools/provider/builtin/hap/hap.yaml b/api/core/tools/provider/builtin/hap/hap.yaml
deleted file mode 100644
index 25b473cf9d..0000000000
--- a/api/core/tools/provider/builtin/hap/hap.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: Mingdao
-  name: hap
-  label:
-    en_US: HAP
-    zh_Hans: HAP
-    pt_BR: HAP
-  description:
-    en_US: "Hyper application platform that is particularly friendly to AI"
-    zh_Hans: "对 AI 特别友好的超级应用平台"
-    pt_BR: "Plataforma de aplicação hiper que é particularmente amigável à IA"
-  icon: icon.svg
-  tags:
-    - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py
deleted file mode 100644
index 597adc91db..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import json
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AddWorksheetRecordTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-        record_data = tool_parameters.get("record_data", "")
-        if not record_data:
-            return self.create_text_message("Invalid parameter Record Row Data")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not host.startswith(("http://", "https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url = f"{host}/v2/open/worksheet/addRow"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id}
-
-        try:
-            payload["controls"] = json.loads(record_data)
-            res = httpx.post(url, headers=headers, json=payload, timeout=60)
-            res.raise_for_status()
-            res_json = res.json()
-            if res_json.get("error_code") != 1:
-                return self.create_text_message(f"Failed to add the new record. {res_json['error_msg']}")
-            return self.create_text_message(f"New record added successfully. The record ID is {res_json['data']}.")
-        except httpx.RequestError as e:
-            return self.create_text_message(f"Failed to add the new record, request error: {e}")
-        except json.JSONDecodeError as e:
-            return self.create_text_message(f"Failed to parse JSON response: {e}")
-        except Exception as e:
-            return self.create_text_message(f"Failed to add the new record, unexpected error: {e}")
diff --git a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml
deleted file mode 100644
index add7742cd7..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-identity:
-  name: add_worksheet_record
-  author: Ryan Tian
-  label:
-    en_US: Add Worksheet Record
-    zh_Hans: 新增一条工作表记录
-description:
-  human:
-    en_US: Adds a new record to the specified worksheet
-    zh_Hans: 向指定的工作表新增一条记录数据
-  llm: A tool to append a new data entry into a specified worksheet.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the specified worksheet
-      zh_Hans: 要获取字段信息的工作表 ID
-    llm_description: The ID of the specified worksheet which to get the fields information.
-    form: llm
-
-  - name: record_data
-    type: string
-    required: true
-    label:
-      en_US: Record Row Data
-      zh_Hans: 记录数据
-    human_description:
-      en_US: The fields with data of the specified record
-      zh_Hans: 要新增的记录数据，JSON 对象数组格式。数组元素属性：controlId-字段ID，value-字段值
-    llm_description: |
-      The fields with data of the specified record which to be created. It is in the format of an array of JSON objects, and the structure is defined as follows:
-      ```
-      type RowData = {
-        controlId: string; // Field ID to be updated
-        value: string; // Field value to be updated
-      }[];
-      ```
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py
deleted file mode 100644
index 5d42af4c49..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DeleteWorksheetRecordTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-        row_id = tool_parameters.get("row_id", "")
-        if not row_id:
-            return self.create_text_message("Invalid parameter Record Row ID")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not host.startswith(("http://", "https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url = f"{host}/v2/open/worksheet/deleteRow"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "rowId": row_id}
-
-        try:
-            res = httpx.post(url, headers=headers, json=payload, timeout=30)
-            res.raise_for_status()
-            res_json = res.json()
-            if res_json.get("error_code") != 1:
-                return self.create_text_message(f"Failed to delete the record. {res_json['error_msg']}")
-            return self.create_text_message("Successfully deleted the record.")
-        except httpx.RequestError as e:
-            return self.create_text_message(f"Failed to delete the record, request error: {e}")
-        except Exception as e:
-            return self.create_text_message(f"Failed to delete the record, unexpected error: {e}")
diff --git a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml
deleted file mode 100644
index 7c0c2a6439..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml
+++ /dev/null
@@ -1,71 +0,0 @@
-identity:
-  name: delete_worksheet_record
-  author: Ryan Tian
-  label:
-    en_US: Delete Worksheet Record
-    zh_Hans: 删除指定的一条工作表记录
-description:
-  human:
-    en_US: Deletes a single record from a worksheet based on the specified record row ID
-    zh_Hans: 根据指定的记录ID删除一条工作表记录数据
-  llm: A tool to remove a particular record from a worksheet by specifying its unique record identifier.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the specified worksheet
-      zh_Hans: 要获取字段信息的工作表 ID
-    llm_description: The ID of the specified worksheet which to get the fields information.
-    form: llm
-
-  - name: row_id
-    type: string
-    required: true
-    label:
-      en_US: Record Row ID
-      zh_Hans: 记录 ID
-    human_description:
-      en_US: The row ID of the specified record
-      zh_Hans: 要删除的记录 ID
-    llm_description: The row ID of the specified record which to be deleted.
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py b/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py
deleted file mode 100644
index 6887b8b4e9..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py
+++ /dev/null
@@ -1,152 +0,0 @@
-import json
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetWorksheetFieldsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not host.startswith(("http://", "https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url = f"{host}/v2/open/worksheet/getWorksheetInfo"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id}
-
-        try:
-            res = httpx.post(url, headers=headers, json=payload, timeout=60)
-            res.raise_for_status()
-            res_json = res.json()
-            if res_json.get("error_code") != 1:
-                return self.create_text_message(f"Failed to get the worksheet information. {res_json['error_msg']}")
-
-            fields_json, fields_table = self.get_controls(res_json["data"]["controls"])
-            result_type = tool_parameters.get("result_type", "table")
-            return self.create_text_message(
-                text=json.dumps(fields_json, ensure_ascii=False) if result_type == "json" else fields_table
-            )
-        except httpx.RequestError as e:
-            return self.create_text_message(f"Failed to get the worksheet information, request error: {e}")
-        except json.JSONDecodeError as e:
-            return self.create_text_message(f"Failed to parse JSON response: {e}")
-        except Exception as e:
-            return self.create_text_message(f"Failed to get the worksheet information, unexpected error: {e}")
-
-    def get_field_type_by_id(self, field_type_id: int) -> str:
-        field_type_map = {
-            2: "Text",
-            3: "Text-Phone",
-            4: "Text-Phone",
-            5: "Text-Email",
-            6: "Number",
-            7: "Text",
-            8: "Number",
-            9: "Option-Single Choice",
-            10: "Option-Multiple Choices",
-            11: "Option-Single Choice",
-            15: "Date",
-            16: "Date",
-            24: "Option-Region",
-            25: "Text",
-            26: "Option-Member",
-            27: "Option-Department",
-            28: "Number",
-            29: "Option-Linked Record",
-            30: "Unknown Type",
-            31: "Number",
-            32: "Text",
-            33: "Text",
-            35: "Option-Linked Record",
-            36: "Number-Yes1/No0",
-            37: "Number",
-            38: "Date",
-            40: "Location",
-            41: "Text",
-            46: "Time",
-            48: "Option-Organizational Role",
-            50: "Text",
-            51: "Query Record",
-        }
-        return field_type_map.get(field_type_id, "")
-
-    def get_controls(self, controls: list) -> dict:
-        fields = []
-        fields_list = ["|fieldId|fieldName|fieldType|fieldTypeId|description|options|", "|" + "---|" * 6]
-        for control in controls:
-            if control["type"] in self._get_ignore_types():
-                continue
-            field_type_id = control["type"]
-            field_type = self.get_field_type_by_id(control["type"])
-            if field_type_id == 30:
-                source_type = control["sourceControl"]["type"]
-                if source_type in self._get_ignore_types():
-                    continue
-                else:
-                    field_type_id = source_type
-                    field_type = self.get_field_type_by_id(source_type)
-            field = {
-                "id": control["controlId"],
-                "name": control["controlName"],
-                "type": field_type,
-                "typeId": field_type_id,
-                "description": control["remark"].replace("\n", " ").replace("\t", "  "),
-                "options": self._extract_options(control),
-            }
-            fields.append(field)
-            fields_list.append(
-                f"|{field['id']}|{field['name']}|{field['type']}|{field['typeId']}|{field['description']}"
-                f"|{field['options'] or ''}|"
-            )
-
-        fields.append(
-            {
-                "id": "ctime",
-                "name": "Created Time",
-                "type": self.get_field_type_by_id(16),
-                "typeId": 16,
-                "description": "",
-                "options": [],
-            }
-        )
-        fields_list.append("|ctime|Created Time|Date|16|||")
-        return fields, "\n".join(fields_list)
-
-    def _extract_options(self, control: dict) -> list:
-        options = []
-        if control["type"] in {9, 10, 11}:
-            options.extend([{"key": opt["key"], "value": opt["value"]} for opt in control.get("options", [])])
-        elif control["type"] in {28, 36}:
-            itemnames = control["advancedSetting"].get("itemnames")
-            if itemnames and itemnames.startswith("[{"):
-                try:
-                    options = json.loads(itemnames)
-                except json.JSONDecodeError:
-                    pass
-        elif control["type"] == 30:
-            source_type = control["sourceControl"]["type"]
-            if source_type not in self._get_ignore_types():
-                options.extend([{"key": opt["key"], "value": opt["value"]} for opt in control.get("options", [])])
-        return options
-
-    def _get_ignore_types(self):
-        return {14, 21, 22, 34, 42, 43, 45, 47, 49, 10010}
diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml b/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml
deleted file mode 100644
index f0d4973e85..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml
+++ /dev/null
@@ -1,80 +0,0 @@
-identity:
-  name: get_worksheet_fields
-  author: Ryan Tian
-  label:
-    en_US: Get Worksheet Fields
-    zh_Hans: 获取工作表字段结构
-description:
-  human:
-    en_US: Get fields information of the worksheet
-    zh_Hans: 获取指定工作表的所有字段结构信息
-  llm: A tool to get fields information of the specific worksheet.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the specified worksheet
-      zh_Hans: 要获取字段信息的工作表 ID
-    llm_description: The ID of the specified worksheet which to get the fields information.
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: table
-        label:
-          en_US: table text
-          zh_Hans: 表格文本
-      - value: json
-        label:
-          en_US: json text
-          zh_Hans: JSON文本
-    default: table
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, table styled text or json text
-      zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py b/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py
deleted file mode 100644
index 26d7116869..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py
+++ /dev/null
@@ -1,137 +0,0 @@
-import json
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetWorksheetPivotDataTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-        x_column_fields = tool_parameters.get("x_column_fields", "")
-        if not x_column_fields or not x_column_fields.startswith("["):
-            return self.create_text_message("Invalid parameter Column Fields")
-        y_row_fields = tool_parameters.get("y_row_fields", "")
-        if y_row_fields and not y_row_fields.strip().startswith("["):
-            return self.create_text_message("Invalid parameter Row Fields")
-        elif not y_row_fields:
-            y_row_fields = "[]"
-        value_fields = tool_parameters.get("value_fields", "")
-        if not value_fields or not value_fields.strip().startswith("["):
-            return self.create_text_message("Invalid parameter Value Fields")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not host.startswith(("http://", "https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url = f"{host}/report/getPivotData"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "options": {"showTotal": True}}
-
-        try:
-            x_column_fields = json.loads(x_column_fields)
-            payload["columns"] = x_column_fields
-            y_row_fields = json.loads(y_row_fields)
-            if y_row_fields:
-                payload["rows"] = y_row_fields
-            value_fields = json.loads(value_fields)
-            payload["values"] = value_fields
-            sort_fields = tool_parameters.get("sort_fields", "")
-            if not sort_fields:
-                sort_fields = "[]"
-            sort_fields = json.loads(sort_fields)
-            if sort_fields:
-                payload["options"]["sort"] = sort_fields
-            res = httpx.post(url, headers=headers, json=payload, timeout=60)
-            res.raise_for_status()
-            res_json = res.json()
-            if res_json.get("status") != 1:
-                return self.create_text_message(f"Failed to get the worksheet pivot data. {res_json['msg']}")
-
-            pivot_json = self.generate_pivot_json(res_json["data"])
-            pivot_table = self.generate_pivot_table(res_json["data"])
-            result_type = tool_parameters.get("result_type", "")
-            text = pivot_table if result_type == "table" else json.dumps(pivot_json, ensure_ascii=False)
-            return self.create_text_message(text)
-        except httpx.RequestError as e:
-            return self.create_text_message(f"Failed to get the worksheet pivot data, request error: {e}")
-        except json.JSONDecodeError as e:
-            return self.create_text_message(f"Failed to parse JSON response: {e}")
-        except Exception as e:
-            return self.create_text_message(f"Failed to get the worksheet pivot data, unexpected error: {e}")
-
-    def generate_pivot_table(self, data: dict[str, Any]) -> str:
-        columns = data["metadata"]["columns"]
-        rows = data["metadata"]["rows"]
-        values = data["metadata"]["values"]
-
-        rows_data = data["data"]
-
-        header = (
-            ([row["displayName"] for row in rows] if rows else [])
-            + [column["displayName"] for column in columns]
-            + [value["displayName"] for value in values]
-        )
-        line = (["---"] * len(rows) if rows else []) + ["---"] * len(columns) + ["--:"] * len(values)
-
-        table = [header, line]
-        for row in rows_data:
-            row_data = [self.replace_pipe(row["rows"][r["controlId"]]) for r in rows] if rows else []
-            row_data.extend([self.replace_pipe(row["columns"][column["controlId"]]) for column in columns])
-            row_data.extend([self.replace_pipe(str(row["values"][value["controlId"]])) for value in values])
-            table.append(row_data)
-
-        return "\n".join([("|" + "|".join(row) + "|") for row in table])
-
-    def replace_pipe(self, text: str) -> str:
-        return text.replace("|", "▏").replace("\n", " ")
-
-    def generate_pivot_json(self, data: dict[str, Any]) -> dict:
-        fields = {
-            "x-axis": [
-                {"fieldId": column["controlId"], "fieldName": column["displayName"]}
-                for column in data["metadata"]["columns"]
-            ],
-            "y-axis": [
-                {"fieldId": row["controlId"], "fieldName": row["displayName"]} for row in data["metadata"]["rows"]
-            ]
-            if data["metadata"]["rows"]
-            else [],
-            "values": [
-                {"fieldId": value["controlId"], "fieldName": value["displayName"]}
-                for value in data["metadata"]["values"]
-            ],
-        }
-        # fields = ([
-        #     {"fieldId": row["controlId"], "fieldName": row["displayName"]}
-        #     for row in data["metadata"]["rows"]
-        # ] if data["metadata"]["rows"] else []) + [
-        #     {"fieldId": column["controlId"], "fieldName": column["displayName"]}
-        #     for column in data["metadata"]["columns"]
-        # ] + [
-        #     {"fieldId": value["controlId"], "fieldName": value["displayName"]}
-        #     for value in data["metadata"]["values"]
-        # ]
-        rows = []
-        for row in data["data"]:
-            row_data = row["rows"] or {}
-            row_data.update(row["columns"])
-            row_data.update(row["values"])
-            rows.append(row_data)
-        return {"fields": fields, "rows": rows, "summary": data["metadata"]["totalRow"]}
diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml b/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml
deleted file mode 100644
index cf8c57b262..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml
+++ /dev/null
@@ -1,248 +0,0 @@
-identity:
-  name: get_worksheet_pivot_data
-  author: Ryan Tian
-  label:
-    en_US: Get Worksheet Pivot Data
-    zh_Hans: 获取工作表统计透视数据
-description:
-  human:
-    en_US: Retrieve statistical pivot table data from a specified worksheet
-    zh_Hans: 从指定的工作表中检索统计透视表数据
-  llm: A tool for extracting statistical pivot table data from a specific worksheet, providing summarized information for analysis and reporting purposes.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the specified worksheet
-      zh_Hans: 要获取字段信息的工作表 ID
-    llm_description: The ID of the specified worksheet which to get the fields information.
-    form: llm
-
-  - name: x_column_fields
-    type: string
-    required: true
-    label:
-      en_US: Columns (X-axis)
-      zh_Hans: 统计列字段（X轴）
-    human_description:
-      en_US: The column fields that make up the pivot table's X-axis groups or other dimensions for the X-axis in pivot charts
-      zh_Hans: 组成透视表的统计列或者统计图表的X轴分组及X轴其它维度。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，particleSize(可选)-字段类型是日期或者地区时，通过此参数设置统计维度（日期时间：1-日，2-周，3-月；地区：1-全国，2-省，3-市）
-    llm_description: |
-      This parameter allows you to specify the columns that make up the pivot table's X-axis groups or other dimensions for the X-axis in pivot charts. It is formatted as a JSON array, with its structure defined as follows:
-      ```
-      type XColumnFields = { // X-axis or column object array
-        controlId: string; // fieldId
-        displayName: string; // displayName
-        particleSize?: number; // field type is date or area, set the statistical dimension (date time: 1-day, 2-week, 3-month; area: 1-nation, 2-province, 3-city)
-      }[];
-      ```
-    form: llm
-
-  - name: y_row_fields
-    type: string
-    required: false
-    label:
-      en_US: Rows (Y-axis)
-      zh_Hans: 统计行字段（Y轴）
-    human_description:
-      en_US: The row fields that make up the pivot table's Y-axis groups or other dimensions for the Y-axis in pivot charts
-      zh_Hans: 组成透视表的统计行或者统计图表的Y轴分组及Y轴其它维度。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，particleSize(可选)-字段类型是日期或者地区时，通过此参数设置统计维度（日期时间：1-日，2-周，3-月；地区：1-全国，2-省，3-市）
-    llm_description: |
-      This parameter allows you to specify the rows that make up the pivot table's Y-axis groups or other dimensions for the Y-axis in pivot charts. It is formatted as a JSON array, with its structure defined as follows:
-      ```
-      type YRowFields = { // Y-axis or row object array
-        controlId: string; // fieldId
-        displayName: string; // displayName
-        particleSize?: number; // field type is date or area, set the statistical dimension (date time: 1-day, 2-week, 3-month; area: 1-nation, 2-province, 3-city)
-      }[];
-      ```
-    form: llm
-
-  - name: value_fields
-    type: string
-    required: true
-    label:
-      en_US: Aggregated Values
-      zh_Hans: 统计值字段
-    human_description:
-      en_US: The aggregated value fields in the pivot table
-      zh_Hans: 透视表中经过聚合计算后的统计值字段。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，aggregation-聚合方式（SUM,AVG,MIN,MAX,COUNT）
-    llm_description: |
-      This parameter allows you to specify the aggregated value fields in the pivot table. It is formatted as a JSON array, with its structure defined as follows:
-      ```
-      type ValueFields = { // aggregated value object array
-        controlId: string; // fieldId
-        displayName: string; // displayName
-        aggregation: string; // aggregation method, e.g.: SUM, AVG, MIN, MAX, COUNT
-      }[];
-      ```
-    form: llm
-
-  - name: filters
-    type: string
-    required: false
-    label:
-      en_US: Filter Set
-      zh_Hans: 筛选器组合
-    human_description:
-      en_US: A combination of filters applied to query records, formatted as a JSON array. See the application's API documentation for details on its structure and usage.
-      zh_Hans: 查询记录的筛选条件组合，格式为 JSON 数组，可以从应用 API 文档中了解参数结构详情
-    llm_description: |
-      This parameter allows you to specify a set of conditions that records must meet to be included in the result set. It is formatted as a JSON array, with its structure defined as follows:
-      ```
-      type Filters = { // filter object array
-        controlId: string; // fieldId
-        dataType: number; // fieldTypeId
-        spliceType: number; // condition concatenation method, 1: And, 2: Or
-        filterType: number; // expression type, refer to the <FilterTypeEnum Reference> for enumerable values
-        values?: string[]; // values in the condition, for option-type fields, multiple values can be passed
-        value?: string; // value in the condition, a single value can be passed according to the field type
-        dateRange?: number; // date range, mandatory when filterType is 17 or 18, refer to the <DateRangeEnum Reference> for enumerable values
-        minValue?: string; // minimum value for custom range
-        maxValue?: string; // maximum value for custom range
-        isAsc?: boolean; // ascending order, false: descending, true: ascending
-      }[];
-      ```
-      For option-type fields, if this option field has `options`, then you need to get the corresponding `key` value from the `options` in the current field information via `value`, and pass it into `values` in array format. Do not use the `options` value of other fields as input conditions.
-
-      ### FilterTypeEnum Reference
-      ```
-      Enum Value, Enum Character, Description
-      1, Like, Contains
-      2, Eq, Is (Equal)
-      3, Start, Starts With
-      4, End, Ends With
-      5, NotLike, Does Not Contain
-      6, Ne, Is Not (Not Equal)
-      7, IsEmpty, Empty
-      8, HasValue, Not Empty
-      11, Between, Within Range
-      12, NotBetween, Outside Range
-      13, Gt, Greater Than
-      14, Gte, Greater Than or Equal To
-      15, Lt, Less Than
-      16, Lte, Less Than or Equal To
-      17, DateEnum, Date Is
-      18, NotDateEnum, Date Is Not
-      21, MySelf, Owned by Me
-      22, UnRead, Unread
-      23, Sub, Owned by Subordinate
-      24, RCEq, Associated Field Is
-      25, RCNe, Associated Field Is Not
-      26, ArrEq, Array Equals
-      27, ArrNe, Array Does Not Equal
-      31, DateBetween, Date Within Range (can only be used with minValue and maxValue)
-      32, DateNotBetween, Date Not Within Range (can only be used with minValue and maxValue)
-      33, DateGt, Date Later Than
-      34, DateGte, Date Later Than or Equal To
-      35, DateLt, Date Earlier Than
-      36, DateLte, Date Earlier Than or Equal To
-      ```
-
-      ### DateRangeEnum Reference
-      ```
-      Enum Value, Enum Character, Description
-      1, Today, Today
-      2, Yesterday, Yesterday
-      3, Tomorrow, Tomorrow
-      4, ThisWeek, This Week
-      5, LastWeek, Last Week
-      6, NextWeek, Next Week
-      7, ThisMonth, This Month
-      8, LastMonth, Last Month
-      9, NextMonth, Next Month
-      12, ThisQuarter, This Quarter
-      13, LastQuarter, Last Quarter
-      14, NextQuarter, Next Quarter
-      15, ThisYear, This Year
-      16, LastYear, Last Year
-      17, NextYear, Next Year
-      18, Customize, Custom
-      21, Last7Day, Past 7 Days
-      22, Last14Day, Past 14 Days
-      23, Last30Day, Past 30 Days
-      31, Next7Day, Next 7 Days
-      32, Next14Day, Next 14 Days
-      33, Next33Day, Next 33 Days
-      ```
-    form: llm
-
-  - name: sort_fields
-    type: string
-    required: false
-    label:
-      en_US: Sort Fields
-      zh_Hans: 排序字段
-    human_description:
-      en_US: The fields to used for sorting
-      zh_Hans: 用于确定排序的字段，不超过3个
-    llm_description: |
-      This optional parameter specifies the unique identifier of the fields that will be used to sort the results. It is in the format of an array of JSON objects, and its structure is defined as follows:
-      ```
-      type SortByFields = {
-        controlId: string; // Field ID used for sorting
-        isAsc: boolean; // Sorting direction, true indicates ascending order, false indicates descending order
-      }[];
-      ```
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: table
-        label:
-          en_US: table text
-          zh_Hans: 表格文本
-      - value: json
-        label:
-          en_US: json text
-          zh_Hans: JSON文本
-    default: table
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, table styled text or json text
-      zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py
deleted file mode 100644
index 9e43d5c532..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py
+++ /dev/null
@@ -1,231 +0,0 @@
-import json
-import re
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class ListWorksheetRecordsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not (host.startswith("http://") or host.startswith("https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url_fields = f"{host}/v2/open/worksheet/getWorksheetInfo"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id}
-
-        field_ids = tool_parameters.get("field_ids", "")
-
-        try:
-            res = httpx.post(url_fields, headers=headers, json=payload, timeout=30)
-            res_json = res.json()
-            if res.is_success:
-                if res_json["error_code"] != 1:
-                    return self.create_text_message(
-                        "Failed to get the worksheet information. {}".format(res_json["error_msg"])
-                    )
-                else:
-                    worksheet_name = res_json["data"]["name"]
-                    fields, schema, table_header = self.get_schema(res_json["data"]["controls"], field_ids)
-            else:
-                return self.create_text_message(
-                    f"Failed to get the worksheet information, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message(
-                "Failed to get the worksheet information, something went wrong: {}".format(e)
-            )
-
-        if field_ids:
-            payload["controls"] = [v.strip() for v in field_ids.split(",")] if field_ids else []
-        filters = tool_parameters.get("filters", "")
-        if filters:
-            payload["filters"] = json.loads(filters)
-        sort_id = tool_parameters.get("sort_id", "")
-        sort_is_asc = tool_parameters.get("sort_is_asc", False)
-        if sort_id:
-            payload["sortId"] = sort_id
-            payload["isAsc"] = sort_is_asc
-        limit = tool_parameters.get("limit", 50)
-        payload["pageSize"] = limit
-        page_index = tool_parameters.get("page_index", 1)
-        payload["pageIndex"] = page_index
-        payload["useControlId"] = True
-        payload["listType"] = 1
-
-        url = f"{host}/v2/open/worksheet/getFilterRows"
-        try:
-            res = httpx.post(url, headers=headers, json=payload, timeout=90)
-            res_json = res.json()
-            if res.is_success:
-                if res_json["error_code"] != 1:
-                    return self.create_text_message("Failed to get the records. {}".format(res_json["error_msg"]))
-                else:
-                    result = {
-                        "fields": fields,
-                        "rows": [],
-                        "total": res_json.get("data", {}).get("total"),
-                        "payload": {
-                            key: payload[key]
-                            for key in [
-                                "worksheetId",
-                                "controls",
-                                "filters",
-                                "sortId",
-                                "isAsc",
-                                "pageSize",
-                                "pageIndex",
-                            ]
-                            if key in payload
-                        },
-                    }
-                    rows = res_json.get("data", {}).get("rows", [])
-                    result_type = tool_parameters.get("result_type", "")
-                    if not result_type:
-                        result_type = "table"
-                    if result_type == "json":
-                        for row in rows:
-                            result["rows"].append(self.get_row_field_value(row, schema))
-                        return self.create_text_message(json.dumps(result, ensure_ascii=False))
-                    else:
-                        result_text = f'Found {result["total"]} rows in worksheet "{worksheet_name}".'
-                        if result["total"] > 0:
-                            result_text += (
-                                f" The following are {min(limit, result['total'])}"
-                                f" pieces of data presented in a table format:\n\n{table_header}"
-                            )
-                            for row in rows:
-                                result_values = []
-                                for f in fields:
-                                    result_values.append(
-                                        self.handle_value_type(row[f["fieldId"]], schema[f["fieldId"]])
-                                    )
-                                result_text += "\n|" + "|".join(result_values) + "|"
-                        return self.create_text_message(result_text)
-            else:
-                return self.create_text_message(
-                    f"Failed to get the records, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to get the records, something went wrong: {}".format(e))
-
-    def get_row_field_value(self, row: dict, schema: dict):
-        row_value = {"rowid": row["rowid"]}
-        for field in schema:
-            row_value[field] = self.handle_value_type(row[field], schema[field])
-        return row_value
-
-    def get_schema(self, controls: list, fieldids: str):
-        allow_fields = {v.strip() for v in fieldids.split(",")} if fieldids else set()
-        fields = []
-        schema = {}
-        field_names = []
-        for control in controls:
-            control_type_id = self.get_real_type_id(control)
-            if (control_type_id in self._get_ignore_types()) or (
-                allow_fields and control["controlId"] not in allow_fields
-            ):
-                continue
-            else:
-                fields.append({"fieldId": control["controlId"], "fieldName": control["controlName"]})
-                schema[control["controlId"]] = {"typeId": control_type_id, "options": self.set_option(control)}
-                field_names.append(control["controlName"])
-        if not allow_fields or ("ctime" in allow_fields):
-            fields.append({"fieldId": "ctime", "fieldName": "Created Time"})
-            schema["ctime"] = {"typeId": 16, "options": {}}
-            field_names.append("Created Time")
-        fields.append({"fieldId": "rowid", "fieldName": "Record Row ID"})
-        schema["rowid"] = {"typeId": 2, "options": {}}
-        field_names.append("Record Row ID")
-        return fields, schema, "|" + "|".join(field_names) + "|\n|" + "---|" * len(field_names)
-
-    def get_real_type_id(self, control: dict) -> int:
-        return control["sourceControlType"] if control["type"] == 30 else control["type"]
-
-    def set_option(self, control: dict) -> dict:
-        options = {}
-        if control.get("options"):
-            options = {option["key"]: option["value"] for option in control["options"]}
-        elif control.get("advancedSetting", {}).get("itemnames"):
-            try:
-                itemnames = json.loads(control["advancedSetting"]["itemnames"])
-                options = {item["key"]: item["value"] for item in itemnames}
-            except json.JSONDecodeError:
-                pass
-        return options
-
-    def _get_ignore_types(self):
-        return {14, 21, 22, 34, 42, 43, 45, 47, 49, 10010}
-
-    def handle_value_type(self, value, field):
-        type_id = field.get("typeId")
-        if type_id == 10:
-            value = value if isinstance(value, str) else "、".join(value)
-        elif type_id in {28, 36}:
-            value = field.get("options", {}).get(value, value)
-        elif type_id in {26, 27, 48, 14}:
-            value = self.process_value(value)
-        elif type_id in {35, 29}:
-            value = self.parse_cascade_or_associated(field, value)
-        elif type_id == 40:
-            value = self.parse_location(value)
-        return self.rich_text_to_plain_text(value) if value else ""
-
-    def process_value(self, value):
-        if isinstance(value, str):
-            if value.startswith('[{"accountId"'):
-                value = json.loads(value)
-                value = ", ".join([item["fullname"] for item in value])
-            elif value.startswith('[{"departmentId"'):
-                value = json.loads(value)
-                value = "、".join([item["departmentName"] for item in value])
-            elif value.startswith('[{"organizeId"'):
-                value = json.loads(value)
-                value = "、".join([item["organizeName"] for item in value])
-            elif value.startswith('[{"file_id"') or value == "[]":
-                value = ""
-        elif hasattr(value, "accountId"):
-            value = value["fullname"]
-        return value
-
-    def parse_cascade_or_associated(self, field, value):
-        if (field["typeId"] == 35 and value.startswith("[")) or (field["typeId"] == 29 and value.startswith("[{")):
-            value = json.loads(value)
-            value = value[0]["name"] if len(value) > 0 else ""
-        else:
-            value = ""
-        return value
-
-    def parse_location(self, value):
-        if len(value) > 10:
-            parsed_value = json.loads(value)
-            value = parsed_value.get("address", "")
-        else:
-            value = ""
-        return value
-
-    def rich_text_to_plain_text(self, rich_text):
-        text = re.sub(r"<[^>]+>", "", rich_text) if "<" in rich_text else rich_text
-        return text.replace("|", "▏").replace("\n", " ")
diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml
deleted file mode 100644
index 3c37746b92..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml
+++ /dev/null
@@ -1,226 +0,0 @@
-identity:
-  name: list_worksheet_records
-  author: Ryan Tian
-  label:
-    en_US: List Worksheet Records
-    zh_Hans: 查询工作表记录数据
-description:
-  human:
-    en_US: List records from the worksheet
-    zh_Hans: 查询工作表的记录列表数据，一次最多1000行，可分页获取
-  llm: A tool to retrieve record data from the specific worksheet.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the worksheet from which to retrieve record data
-      zh_Hans: 要获取记录数据的工作表 ID
-    llm_description: This parameter specifies the ID of the worksheet where the records are stored.
-    form: llm
-
-  - name: field_ids
-    type: string
-    required: false
-    label:
-      en_US: Field IDs
-      zh_Hans: 字段 ID 列表
-    human_description:
-      en_US: A comma-separated list of field IDs whose data to retrieve. If not provided, all fields' data will be fetched
-      zh_Hans: 要获取记录数据的字段 ID，多个 ID 间用英文逗号隔开，不传此参数则将获取所有字段的数据
-    llm_description: This optional parameter lets you specify a comma-separated list of field IDs. Unless the user explicitly requests to output the specified field in the question, this parameter should usually be omitted. If this parameter is omitted, the API will return data for all fields by default. When provided, only the data associated with these fields will be included in the response.
-    form: llm
-
-  - name: filters
-    type: string
-    required: false
-    label:
-      en_US: Filter Set
-      zh_Hans: 筛选器组合
-    human_description:
-      en_US: A combination of filters applied to query records, formatted as a JSON array. See the application's API documentation for details on its structure and usage.
-      zh_Hans: 查询记录的筛选条件组合，格式为 JSON 数组，可以从应用 API 文档中了解参数结构详情
-    llm_description: |
-      This parameter allows you to specify a set of conditions that records must meet to be included in the result set. It is formatted as a JSON array, with its structure defined as follows:
-      ```
-      type Filters = { // filter object array
-        controlId: string; // fieldId
-        dataType: number; // fieldTypeId
-        spliceType: number; // condition concatenation method, 1: And, 2: Or
-        filterType: number; // expression type, refer to the <FilterTypeEnum Reference> for enumerable values
-        values?: string[]; // values in the condition, for option-type fields, multiple values can be passed
-        value?: string; // value in the condition, a single value can be passed according to the field type
-        dateRange?: number; // date range, mandatory when filterType is 17 or 18, refer to the <DateRangeEnum Reference> for enumerable values
-        minValue?: string; // minimum value for custom range
-        maxValue?: string; // maximum value for custom range
-        isAsc?: boolean; // ascending order, false: descending, true: ascending
-      }[];
-      ```
-      For option-type fields, if this option field has `options`, then you need to get the corresponding `key` value from the `options` in the current field information via `value`, and pass it into `values` in array format. Do not use the `options` value of other fields as input conditions.
-
-      ### FilterTypeEnum Reference
-      ```
-      Enum Value, Enum Character, Description
-      1, Like, Contains(Include)
-      2, Eq, Is (Equal)
-      3, Start, Starts With
-      4, End, Ends With
-      5, NotLike, Does Not Contain(Not Include)
-      6, Ne, Is Not (Not Equal)
-      7, IsEmpty, Empty
-      8, HasValue, Not Empty
-      11, Between, Within Range(Belong to)
-      12, NotBetween, Outside Range(Not belong to)
-      13, Gt, Greater Than
-      14, Gte, Greater Than or Equal To
-      15, Lt, Less Than
-      16, Lte, Less Than or Equal To
-      17, DateEnum, Date Is
-      18, NotDateEnum, Date Is Not
-      24, RCEq, Associated Field Is
-      25, RCNe, Associated Field Is Not
-      26, ArrEq, Array Equals
-      27, ArrNe, Array Does Not Equal
-      31, DateBetween, Date Within Range (can only be used with minValue and maxValue)
-      32, DateNotBetween, Date Not Within Range (can only be used with minValue and maxValue)
-      33, DateGt, Date Later Than
-      34, DateGte, Date Later Than or Equal To
-      35, DateLt, Date Earlier Than
-      36, DateLte, Date Earlier Than or Equal To
-      ```
-
-      ### DateRangeEnum Reference
-      ```
-      Enum Value, Enum Character, Description
-      1, Today, Today
-      2, Yesterday, Yesterday
-      3, Tomorrow, Tomorrow
-      4, ThisWeek, This Week
-      5, LastWeek, Last Week
-      6, NextWeek, Next Week
-      7, ThisMonth, This Month
-      8, LastMonth, Last Month
-      9, NextMonth, Next Month
-      12, ThisQuarter, This Quarter
-      13, LastQuarter, Last Quarter
-      14, NextQuarter, Next Quarter
-      15, ThisYear, This Year
-      16, LastYear, Last Year
-      17, NextYear, Next Year
-      18, Customize, Custom
-      21, Last7Day, Past 7 Days
-      22, Last14Day, Past 14 Days
-      23, Last30Day, Past 30 Days
-      31, Next7Day, Next 7 Days
-      32, Next14Day, Next 14 Days
-      33, Next33Day, Next 33 Days
-      ```
-    form: llm
-
-  - name: sort_id
-    type: string
-    required: false
-    label:
-      en_US: Sort Field ID
-      zh_Hans: 排序字段 ID
-    human_description:
-      en_US: The ID of the field used for sorting
-      zh_Hans: 用以排序的字段 ID
-    llm_description: This optional parameter specifies the unique identifier of the field that will be used to sort the results. It should be set to the ID of an existing field within your data structure.
-    form: llm
-
-  - name: sort_is_asc
-    type: boolean
-    required: false
-    label:
-      en_US: Ascending Order
-      zh_Hans: 是否升序排列
-    human_description:
-      en_US: Determines whether the sorting is in ascending (true) or descending (false) order
-      zh_Hans: 排序字段的排序方式：true-升序，false-降序
-    llm_description: This optional parameter controls the direction of the sort. If set to true, the results will be sorted in ascending order; if false, they will be sorted in descending order.
-    form: llm
-
-  - name: limit
-    type: number
-    required: false
-    label:
-      en_US: Record Limit
-      zh_Hans: 记录数量限制
-    human_description:
-      en_US: The maximum number of records to retrieve
-      zh_Hans: 要获取的记录数量限制条数
-    llm_description: This optional parameter allows you to specify the maximum number of records that should be returned in the result set. When retrieving paginated record data, this parameter indicates the number of rows to fetch per page, and must be used in conjunction with the `page_index` parameter.
-    form: llm
-
-  - name: page_index
-    type: number
-    required: false
-    label:
-      en_US: Page Index
-      zh_Hans: 页码
-    human_description:
-      en_US: The page number when paginating through a list of records
-      zh_Hans: 分页读取记录列表时的页码
-    llm_description: This parameter is used when you need to paginate through a large set of records. The default value is 1, which refers to the first page. When it is used, the meaning of the `limit` parameter becomes the number of records per page.
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: table
-        label:
-          en_US: table text
-          zh_Hans: 表格文本
-      - value: json
-        label:
-          en_US: json text
-          zh_Hans: JSON文本
-    default: table
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, table styled text or json text
-      zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheets.py b/api/core/tools/provider/builtin/hap/tools/list_worksheets.py
deleted file mode 100644
index 4e852c0028..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/list_worksheets.py
+++ /dev/null
@@ -1,83 +0,0 @@
-import json
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class ListWorksheetsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not (host.startswith("http://") or host.startswith("https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-        url = f"{host}/v1/open/app/get"
-
-        result_type = tool_parameters.get("result_type", "")
-        if not result_type:
-            result_type = "table"
-
-        headers = {"Content-Type": "application/json"}
-        params = {
-            "appKey": appkey,
-            "sign": sign,
-        }
-        try:
-            res = httpx.get(url, headers=headers, params=params, timeout=30)
-            res_json = res.json()
-            if res.is_success:
-                if res_json["error_code"] != 1:
-                    return self.create_text_message(
-                        "Failed to access the application. {}".format(res_json["error_msg"])
-                    )
-                else:
-                    if result_type == "json":
-                        worksheets = []
-                        for section in res_json["data"]["sections"]:
-                            worksheets.extend(self._extract_worksheets(section, result_type))
-                        return self.create_text_message(text=json.dumps(worksheets, ensure_ascii=False))
-                    else:
-                        worksheets = "|worksheetId|worksheetName|description|\n|---|---|---|"
-                        for section in res_json["data"]["sections"]:
-                            worksheets += self._extract_worksheets(section, result_type)
-                        return self.create_text_message(worksheets)
-
-            else:
-                return self.create_text_message(
-                    f"Failed to list worksheets, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to list worksheets, something went wrong: {}".format(e))
-
-    def _extract_worksheets(self, section, type):
-        items = []
-        tables = ""
-        for item in section.get("items", []):
-            if item.get("type") == 0 and ("notes" not in item or item.get("notes") != "NO"):
-                if type == "json":
-                    filtered_item = {"id": item["id"], "name": item["name"], "notes": item.get("notes", "")}
-                    items.append(filtered_item)
-                else:
-                    tables += f"\n|{item['id']}|{item['name']}|{item.get('notes', '')}|"
-
-        for child_section in section.get("childSections", []):
-            if type == "json":
-                items.extend(self._extract_worksheets(child_section, "json"))
-            else:
-                tables += self._extract_worksheets(child_section, "table")
-
-        return items if type == "json" else tables
diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml b/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml
deleted file mode 100644
index 935b72a895..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml
+++ /dev/null
@@ -1,68 +0,0 @@
-identity:
-  name: list_worksheets
-  author: Ryan Tian
-  label:
-    en_US: List Worksheets
-    zh_Hans: 获取应用下所有工作表
-description:
-  human:
-    en_US: List worksheets within an application
-    zh_Hans: 获取应用下的所有工作表和说明信息
-  llm: A tool to list worksheets info within an application, imported parameter is AppKey and Sign of the application.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
-
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: table
-        label:
-          en_US: table text
-          zh_Hans: 表格文本
-      - value: json
-        label:
-          en_US: json text
-          zh_Hans: JSON文本
-    default: table
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, table styled text or json text
-      zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本
-    form: form
diff --git a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py
deleted file mode 100644
index 971f3d37f6..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import json
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class UpdateWorksheetRecordTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        appkey = tool_parameters.get("appkey", "")
-        if not appkey:
-            return self.create_text_message("Invalid parameter App Key")
-        sign = tool_parameters.get("sign", "")
-        if not sign:
-            return self.create_text_message("Invalid parameter Sign")
-        worksheet_id = tool_parameters.get("worksheet_id", "")
-        if not worksheet_id:
-            return self.create_text_message("Invalid parameter Worksheet ID")
-        row_id = tool_parameters.get("row_id", "")
-        if not row_id:
-            return self.create_text_message("Invalid parameter Record Row ID")
-        record_data = tool_parameters.get("record_data", "")
-        if not record_data:
-            return self.create_text_message("Invalid parameter Record Row Data")
-
-        host = tool_parameters.get("host", "")
-        if not host:
-            host = "https://api.mingdao.com"
-        elif not host.startswith(("http://", "https://")):
-            return self.create_text_message("Invalid parameter Host Address")
-        else:
-            host = f"{host.removesuffix('/')}/api"
-
-        url = f"{host}/v2/open/worksheet/editRow"
-        headers = {"Content-Type": "application/json"}
-        payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "rowId": row_id}
-
-        try:
-            payload["controls"] = json.loads(record_data)
-            res = httpx.post(url, headers=headers, json=payload, timeout=60)
-            res.raise_for_status()
-            res_json = res.json()
-            if res_json.get("error_code") != 1:
-                return self.create_text_message(f"Failed to update the record. {res_json['error_msg']}")
-            return self.create_text_message("Record updated successfully.")
-        except httpx.RequestError as e:
-            return self.create_text_message(f"Failed to update the record, request error: {e}")
-        except json.JSONDecodeError as e:
-            return self.create_text_message(f"Failed to parse JSON response: {e}")
-        except Exception as e:
-            return self.create_text_message(f"Failed to update the record, unexpected error: {e}")
diff --git a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml
deleted file mode 100644
index fe1f8f671a..0000000000
--- a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml
+++ /dev/null
@@ -1,90 +0,0 @@
-identity:
-  name: update_worksheet_record
-  author: Ryan Tian
-  label:
-    en_US: Update Worksheet Record
-    zh_Hans: 更新指定的一条工作表记录
-description:
-  human:
-    en_US: Updates a single record in a worksheet based on the specified record row ID
-    zh_Hans: 根据指定的记录ID更新一条工作表记录数据
-  llm: A tool to modify existing information within a particular record of a worksheet by referencing its unique identifier.
-parameters:
-  - name: appkey
-    type: secret-input
-    required: true
-    label:
-      en_US: App Key
-      zh_Hans: App Key
-    human_description:
-      en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation.
-      zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到
-    llm_description: the AppKey parameter for the HAP application
-    form: form
-
-  - name: sign
-    type: secret-input
-    required: true
-    label:
-      en_US: Sign
-      zh_Hans: Sign
-    human_description:
-      en_US: The Sign parameter for the HAP application
-      zh_Hans: HAP 应用的 Sign 参数
-    llm_description: the Sign parameter for the HAP application
-    form: form
-
-  - name: worksheet_id
-    type: string
-    required: true
-    label:
-      en_US: Worksheet ID
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: The ID of the specified worksheet
-      zh_Hans: 要获取字段信息的工作表 ID
-    llm_description: The ID of the specified worksheet which to get the fields information.
-    form: llm
-
-  - name: row_id
-    type: string
-    required: true
-    label:
-      en_US: Record Row ID
-      zh_Hans: 记录 ID
-    human_description:
-      en_US: The row ID of the specified record
-      zh_Hans: 要更新的记录 ID
-    llm_description: The row ID of the specified record which to be updated.
-    form: llm
-
-  - name: record_data
-    type: string
-    required: true
-    label:
-      en_US: Record Row Data
-      zh_Hans: 记录数据
-    human_description:
-      en_US: The fields with data of the specified record
-      zh_Hans: 要更新的记录数据，JSON 对象数组格式。数组元素属性：controlId-字段ID，value-字段值
-    llm_description: |
-      The fields with data of the specified record which to be updated. It is in the format of an array of JSON objects, and the structure is defined as follows:
-      ```
-      type RowData = {
-        controlId: string; // Field ID to be updated
-        value: string; // Field value to be updated
-      }[];
-      ```
-    form: llm
-
-  - name: host
-    type: string
-    required: false
-    label:
-      en_US: Host Address
-      zh_Hans: 服务器地址
-    human_description:
-      en_US: The address for the privately deployed HAP server.
-      zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写
-    llm_description: the address for the privately deployed HAP server.
-    form: form
diff --git a/api/core/tools/provider/builtin/jina/_assets/icon.svg b/api/core/tools/provider/builtin/jina/_assets/icon.svg
deleted file mode 100644
index 2e1b00fa52..0000000000
--- a/api/core/tools/provider/builtin/jina/_assets/icon.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M6.56053 21.4486C9.07925 21.4486 11.1211 19.4068 11.1211 16.8882C11.1211 14.3696 9.07925 12.3279 6.56053 12.3279C4.04182 12.3279 2 14.3696 2 16.8882C2 19.4068 4.04182 21.4486 6.56053 21.4486Z" fill="#EB6161"/>
-<path d="M22.0002 3.59467L21.9406 12.3279C21.9406 17.3055 17.9464 21.3591 12.9685 21.4485L12.8789 12.3577L12.8791 3.62447C12.8791 3.02835 13.356 2.55145 13.9522 2.55145H20.9271C21.5233 2.55145 22.0002 2.99854 22.0002 3.59467Z" fill="#009191"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/jina/jina.py b/api/core/tools/provider/builtin/jina/jina.py
deleted file mode 100644
index 154e15db01..0000000000
--- a/api/core/tools/provider/builtin/jina/jina.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import json
-from typing import Any
-
-from core.tools.entities.values import ToolLabelEnum
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.jina.tools.jina_reader import JinaReaderTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GoogleProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            if credentials["api_key"] is None:
-                credentials["api_key"] = ""
-            else:
-                result = (
-                    JinaReaderTool()
-                    .fork_tool_runtime(
-                        runtime={
-                            "credentials": credentials,
-                        }
-                    )
-                    .invoke(
-                        user_id="",
-                        tool_parameters={
-                            "url": "https://example.com",
-                        },
-                    )[0]
-                )
-
-                message = json.loads(result.message)
-                if message["code"] != 200:
-                    raise ToolProviderCredentialValidationError(message["message"])
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
-
-    def _get_tool_labels(self) -> list[ToolLabelEnum]:
-        return [ToolLabelEnum.SEARCH, ToolLabelEnum.PRODUCTIVITY]
diff --git a/api/core/tools/provider/builtin/jina/jina.yaml b/api/core/tools/provider/builtin/jina/jina.yaml
deleted file mode 100644
index af3ca23ffa..0000000000
--- a/api/core/tools/provider/builtin/jina/jina.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  author: Dify
-  name: jina
-  label:
-    en_US: Jina AI
-    zh_Hans: Jina AI
-    pt_BR: Jina AI
-  description:
-    en_US: Your Search Foundation, Supercharged!
-    zh_Hans: 您的搜索底座，从此不同!
-    pt_BR: Your Search Foundation, Supercharged!
-  icon: icon.svg
-  tags:
-    - search
-    - productivity
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: false
-    label:
-      en_US: API Key (leave empty if you don't have one)
-      zh_Hans: API 密钥（可留空）
-      pt_BR: Chave API (deixe vazio se você não tiver uma)
-    placeholder:
-      en_US: Please enter your Jina AI API key
-      zh_Hans: 请输入你的 Jina AI API 密钥
-      pt_BR: Por favor, insira sua chave de API do Jina AI
-    help:
-      en_US: Get your Jina AI API key from Jina AI (optional, but you can get a higher rate)
-      zh_Hans: 从 Jina AI 获取您的 Jina AI API 密钥（非必须，能得到更高的速率）
-      pt_BR: Obtenha sua chave de API do Jina AI na Jina AI (opcional, mas você pode obter uma taxa mais alta)
-    url: https://jina.ai
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.py b/api/core/tools/provider/builtin/jina/tools/jina_reader.py
deleted file mode 100644
index 756b727224..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_reader.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import json
-from typing import Any, Union
-
-from yarl import URL
-
-from core.helper import ssrf_proxy
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JinaReaderTool(BuiltinTool):
-    _jina_reader_endpoint = "https://r.jina.ai/"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        url = tool_parameters["url"]
-
-        headers = {"Accept": "application/json"}
-
-        if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"):
-            headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key")
-
-        request_params = tool_parameters.get("request_params")
-        if request_params is not None and request_params != "":
-            try:
-                request_params = json.loads(request_params)
-                if not isinstance(request_params, dict):
-                    raise ValueError("request_params must be a JSON object")
-            except (json.JSONDecodeError, ValueError) as e:
-                raise ValueError(f"Invalid request_params: {e}")
-
-        target_selector = tool_parameters.get("target_selector")
-        if target_selector is not None and target_selector != "":
-            headers["X-Target-Selector"] = target_selector
-
-        wait_for_selector = tool_parameters.get("wait_for_selector")
-        if wait_for_selector is not None and wait_for_selector != "":
-            headers["X-Wait-For-Selector"] = wait_for_selector
-
-        remove_selector = tool_parameters.get("remove_selector")
-        if remove_selector is not None and remove_selector != "":
-            headers["X-Remove-Selector"] = remove_selector
-
-        if tool_parameters.get("retain_images", False):
-            headers["X-Retain-Images"] = "true"
-
-        if tool_parameters.get("image_caption", False):
-            headers["X-With-Generated-Alt"] = "true"
-
-        if tool_parameters.get("gather_all_links_at_the_end", False):
-            headers["X-With-Links-Summary"] = "true"
-
-        if tool_parameters.get("gather_all_images_at_the_end", False):
-            headers["X-With-Images-Summary"] = "true"
-
-        proxy_server = tool_parameters.get("proxy_server")
-        if proxy_server is not None and proxy_server != "":
-            headers["X-Proxy-Url"] = proxy_server
-
-        if tool_parameters.get("no_cache", False):
-            headers["X-No-Cache"] = "true"
-
-        if tool_parameters.get("with_iframe", False):
-            headers["X-With-Iframe"] = "true"
-
-        if tool_parameters.get("with_shadow_dom", False):
-            headers["X-With-Shadow-Dom"] = "true"
-
-        max_retries = tool_parameters.get("max_retries", 3)
-        response = ssrf_proxy.get(
-            str(URL(self._jina_reader_endpoint + url)),
-            headers=headers,
-            params=request_params,
-            timeout=(10, 60),
-            max_retries=max_retries,
-        )
-
-        if tool_parameters.get("summary", False):
-            return self.create_text_message(self.summary(user_id, response.text))
-
-        return self.create_text_message(response.text)
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml b/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml
deleted file mode 100644
index 012a8c7688..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml
+++ /dev/null
@@ -1,221 +0,0 @@
-identity:
-  name: jina_reader
-  author: Dify
-  label:
-    en_US: Fetch Single Page
-    zh_Hans: 获取单页面
-    pt_BR: Fetch Single Page
-description:
-  human:
-    en_US: Fetch the target URL (can be a PDF) and convert it into a LLM-friendly markdown.
-    zh_Hans: 获取目标网址（可以是 PDF），并将其转换为适合大模型处理的 Markdown 格式。
-    pt_BR: Busque a URL de destino (que pode ser um PDF) e converta em um Markdown LLM-friendly.
-  llm: A tool for scraping webpages. Input should be a URL.
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: URL
-      zh_Hans: 网址
-      pt_BR: URL
-    human_description:
-      en_US: Web link
-      zh_Hans: 网页链接
-      pt_BR: URL da web
-    llm_description: url para scraping
-    form: llm
-  - name: request_params
-    type: string
-    required: false
-    label:
-      en_US: Request params
-      zh_Hans: 请求参数
-      pt_BR: Parâmetros de solicitação
-    human_description:
-      en_US: |
-        request parameters, format: {"key1": "value1", "key2": "value2"}
-      zh_Hans: |
-        请求参数，格式：{"key1": "value1", "key2": "value2"}
-      pt_BR: |
-        parâmetros de solicitação, formato: {"key1": "value1", "key2": "value2"}
-    llm_description: request parameters
-    form: llm
-  - name: target_selector
-    type: string
-    required: false
-    label:
-      en_US: Target selector
-      zh_Hans: 目标选择器
-      pt_BR: Seletor de destino
-    human_description:
-      en_US: css selector for scraping specific elements
-      zh_Hans: css 选择器用于抓取特定元素
-      pt_BR: css selector para scraping de elementos específicos
-    llm_description: css selector of the target element to scrape
-    form: form
-  - name: wait_for_selector
-    type: string
-    required: false
-    label:
-      en_US: Wait for selector
-      zh_Hans: 等待选择器
-      pt_BR: Aguardar por seletor
-    human_description:
-      en_US: css selector for waiting for specific elements
-      zh_Hans: css 选择器用于等待特定元素
-      pt_BR: css selector para aguardar elementos específicos
-    llm_description: css selector of the target element to wait for
-    form: form
-  - name: remove_selector
-    type: string
-    required: false
-    label:
-      en_US: Excluded Selector
-      zh_Hans: 排除选择器
-      pt_BR: Seletor Excluído
-    human_description:
-      en_US: css selector for remove for specific elements
-      zh_Hans: css 选择器用于排除特定元素
-      pt_BR: seletor CSS para remover elementos específicos
-    llm_description: css selector of the target element to remove for
-    form: form
-  - name: retain_images
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Remove All Images
-      zh_Hans: 删除所有图片
-      pt_BR: Remover todas as imagens
-    human_description:
-      en_US: Removes all images from the response.
-      zh_Hans: 从响应中删除所有图片。
-      pt_BR: Remove todas as imagens da resposta.
-    llm_description: Remove all images
-    form: form
-  - name: image_caption
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Image caption
-      zh_Hans: 图片说明
-      pt_BR: Legenda da imagem
-    human_description:
-      en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
-      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。"
-      pt_BR: "Adiciona legendas a todas as imagens na URL especificada, adicionando 'Imagem [idx]: [legenda]' como uma tag alt para aquelas que não têm uma. Isso permite que os modelos LLM inferiores interajam com as imagens em atividades como raciocínio e resumo."
-    llm_description: Captions all images at the specified URL
-    form: form
-  - name: gather_all_links_at_the_end
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Gather all links at the end
-      zh_Hans: 将所有链接集中到最后
-      pt_BR: Coletar todos os links ao final
-    human_description:
-      en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
-      zh_Hans: 末尾将添加“按钮和链接”部分，方便下游模型或网络代理做页面导航或执行进一步操作。
-      pt_BR: Um "Botões & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
-    llm_description: Gather all links at the end
-    form: form
-  - name: gather_all_images_at_the_end
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Gather all images at the end
-      zh_Hans: 将所有图片集中到最后
-      pt_BR: Coletar todas as imagens ao final
-    human_description:
-      en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
-      zh_Hans: 末尾会新增“图片”部分，方便下游模型全面了解页面的视觉内容，提升推理效果。
-      pt_BR: Um "Imagens" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
-    llm_description: Gather all images at the end
-    form: form
-  - name: proxy_server
-    type: string
-    required: false
-    label:
-      en_US: Proxy server
-      zh_Hans: 代理服务器
-      pt_BR: Servidor de proxy
-    human_description:
-      en_US: Use proxy to access URLs
-      zh_Hans: 利用代理访问 URL
-      pt_BR: Use proxy to access URLs
-    llm_description: Use proxy to access URLs
-    form: form
-  - name: no_cache
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Bypass the Cache
-      zh_Hans: 绕过缓存
-      pt_BR: Ignorar o cache
-    human_description:
-      en_US: Bypass the Cache
-      zh_Hans: 是否绕过缓存
-      pt_BR: Ignorar o cache
-    llm_description: bypass the cache
-    form: form
-  - name: with_iframe
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Enable iframe extraction
-      zh_Hans: 启用 iframe 提取
-      pt_BR: Habilitar extração de iframe
-    human_description:
-      en_US: Extract and process content of all embedded iframes in the DOM tree.
-      zh_Hans: 提取并处理 DOM 树中所有嵌入 iframe 的内容。
-      pt_BR: Extrair e processar o conteúdo de todos os iframes incorporados na árvore DOM.
-    llm_description: Extract content from embedded iframes
-    form: form
-  - name: with_shadow_dom
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Enable Shadow DOM extraction
-      zh_Hans: 启用 Shadow DOM 提取
-      pt_BR: Habilitar extração de Shadow DOM
-    human_description:
-      en_US: Traverse all Shadow DOM roots in the document and extract content.
-      zh_Hans: 遍历文档中所有 Shadow DOM 根并提取内容。
-      pt_BR: Percorra todas as raízes do Shadow DOM no documento e extraia o conteúdo.
-    llm_description: Extract content from Shadow DOM roots
-    form: form
-  - name: summary
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Enable summary
-      zh_Hans: 是否启用摘要
-      pt_BR: Habilitar resumo
-    human_description:
-      en_US: Enable summary for the output
-      zh_Hans: 为输出启用摘要
-      pt_BR: Habilitar resumo para a saída
-    llm_description: enable summary
-    form: form
-  - name: max_retries
-    type: number
-    required: false
-    default: 3
-    label:
-      en_US: Retry
-      zh_Hans: 重试
-      pt_BR: Repetir
-    human_description:
-      en_US: Number of times to retry the request if it fails
-      zh_Hans: 请求失败时重试的次数
-      pt_BR: Número de vezes para repetir a solicitação se falhar
-    llm_description: Number of times to retry the request if it fails
-    form: form
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_search.py b/api/core/tools/provider/builtin/jina/tools/jina_search.py
deleted file mode 100644
index 30af6de783..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_search.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Any, Union
-
-from yarl import URL
-
-from core.helper import ssrf_proxy
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JinaSearchTool(BuiltinTool):
-    _jina_search_endpoint = "https://s.jina.ai/"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        query = tool_parameters["query"]
-
-        headers = {"Accept": "application/json"}
-
-        if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"):
-            headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key")
-
-        if tool_parameters.get("image_caption", False):
-            headers["X-With-Generated-Alt"] = "true"
-
-        if tool_parameters.get("gather_all_links_at_the_end", False):
-            headers["X-With-Links-Summary"] = "true"
-
-        if tool_parameters.get("gather_all_images_at_the_end", False):
-            headers["X-With-Images-Summary"] = "true"
-
-        proxy_server = tool_parameters.get("proxy_server")
-        if proxy_server is not None and proxy_server != "":
-            headers["X-Proxy-Url"] = proxy_server
-
-        if tool_parameters.get("no_cache", False):
-            headers["X-No-Cache"] = "true"
-
-        max_retries = tool_parameters.get("max_retries", 3)
-        response = ssrf_proxy.get(
-            str(URL(self._jina_search_endpoint + query)), headers=headers, timeout=(10, 60), max_retries=max_retries
-        )
-
-        return self.create_text_message(response.text)
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_search.yaml b/api/core/tools/provider/builtin/jina/tools/jina_search.yaml
deleted file mode 100644
index e58c639e56..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_search.yaml
+++ /dev/null
@@ -1,110 +0,0 @@
-identity:
-  name: jina_search
-  author: Dify
-  label:
-    en_US: Search the web
-    zh_Hans: 联网搜索
-    pt_BR: Search the web
-description:
-  human:
-    en_US: Search on the public web of a given query and return the top results as LLM-friendly markdown.
-    zh_Hans: 针对给定的查询在互联网上进行搜索，并以适合大模型处理的 Markdown 格式返回最相关的结果。
-    pt_BR: Procurar na web pública de uma consulta fornecida e retornar os melhores resultados como markdown para LLMs.
-  llm: A tool for searching results on the web for grounding. Input should be a simple question.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Question (Query)
-      zh_Hans: 查询
-      pt_BR: Pergunta (Consulta)
-    human_description:
-      en_US: used to find information on the web
-      zh_Hans: 在网络上搜索信息
-      pt_BR: Usado para encontrar informações na web
-    llm_description: Pergunta simples para fazer na web
-    form: llm
-  - name: image_caption
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Image caption
-      zh_Hans: 图片说明
-      pt_BR: Legenda da imagem
-    human_description:
-      en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
-      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。"
-      pt_BR: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
-    llm_description: Captions all images at the specified URL
-    form: form
-  - name: gather_all_links_at_the_end
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Gather all links at the end
-      zh_Hans: 将所有链接集中到最后
-      pt_BR: Coletar todos os links ao final
-    human_description:
-      en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
-      zh_Hans: 末尾将添加“按钮和链接”部分，汇总页面上的所有链接。方便下游模型或网络代理做页面导航或执行进一步操作。
-      pt_BR: Um "Botão & Links" seção será criada no final. Isso ajuda os LLMs ou agentes da web navegando pela página ou executar ações adicionais.
-    llm_description: Gather all links at the end
-    form: form
-  - name: gather_all_images_at_the_end
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Gather all images at the end
-      zh_Hans: 将所有图片集中到最后
-      pt_BR: Coletar todas as imagens ao final
-    human_description:
-      en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
-      zh_Hans: 末尾会新增“图片”部分，汇总页面上的所有图片。方便下游模型概览页面的视觉内容，提升推理效果。
-      pt_BR: Um "Imagens" seção será criada no final. Isso fornece uma visão geral de todas as imagens na página para os LLMs, que pode melhorar a razão.
-    llm_description: Gather all images at the end
-    form: form
-  - name: proxy_server
-    type: string
-    required: false
-    label:
-      en_US: Proxy server
-      zh_Hans: 代理服务器
-      pt_BR: Servidor de proxy
-    human_description:
-      en_US: Use proxy to access URLs
-      zh_Hans: 利用代理访问 URL
-      pt_BR: Usar proxy para acessar URLs
-    llm_description: Use proxy to access URLs
-    form: form
-  - name: no_cache
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Bypass the Cache
-      zh_Hans: 是否绕过缓存
-      pt_BR: Ignorar o cache
-    human_description:
-      en_US: Bypass the Cache
-      zh_Hans: 是否绕过缓存
-      pt_BR: Ignorar o cache
-    llm_description: bypass the cache
-    form: form
-  - name: max_retries
-    type: number
-    required: false
-    default: 3
-    label:
-      en_US: Retry
-      zh_Hans: 重试
-      pt_BR: Repetir
-    human_description:
-      en_US: Number of times to retry the request if it fails
-      zh_Hans: 请求失败时重试的次数
-      pt_BR: Número de vezes para repetir a solicitação se falhar
-    llm_description: Number of times to retry the request if it fails
-    form: form
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py b/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py
deleted file mode 100644
index 06dabcc9c2..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any
-
-from core.helper import ssrf_proxy
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JinaTokenizerTool(BuiltinTool):
-    _jina_tokenizer_endpoint = "https://tokenize.jina.ai/"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> ToolInvokeMessage:
-        content = tool_parameters["content"]
-        body = {"content": content}
-
-        headers = {"Content-Type": "application/json"}
-
-        if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"):
-            headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key")
-
-        if tool_parameters.get("return_chunks", False):
-            body["return_chunks"] = True
-
-        if tool_parameters.get("return_tokens", False):
-            body["return_tokens"] = True
-
-        if tokenizer := tool_parameters.get("tokenizer"):
-            body["tokenizer"] = tokenizer
-
-        response = ssrf_proxy.post(
-            self._jina_tokenizer_endpoint,
-            headers=headers,
-            json=body,
-        )
-
-        return self.create_json_message(response.json())
diff --git a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml b/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml
deleted file mode 100644
index 74885cdf9a..0000000000
--- a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-identity:
-  name: jina_tokenizer
-  author: hjlarry
-  label:
-    en_US: Segment
-    zh_Hans: 切分器
-    pt_BR: Segment
-description:
-  human:
-    en_US: Split long text into chunks and do tokenization.
-    zh_Hans: 将长文本拆分成小段落，并做分词处理。
-    pt_BR: Dividir o texto longo em pedaços e fazer tokenização.
-  llm: Free API to tokenize text and segment long text into chunks.
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: Content
-      zh_Hans: 内容
-      pt_BR: Conteúdo
-    llm_description: the content which need to tokenize or segment
-    form: llm
-  - name: return_tokens
-    type: boolean
-    required: false
-    label:
-      en_US: Return the tokens
-      zh_Hans: 是否返回tokens
-      pt_BR: Retornar os tokens
-    human_description:
-      en_US: Return the tokens and their corresponding ids in the response.
-      zh_Hans: 返回tokens及其对应的ids。
-      pt_BR: Retornar os tokens e seus respectivos ids na resposta.
-    form: form
-  - name: return_chunks
-    type: boolean
-    label:
-      en_US: Return the chunks
-      zh_Hans: 是否分块
-      pt_BR: Retornar os chunks
-    human_description:
-      en_US: Chunking the input into semantically meaningful segments while handling a wide variety of text types and edge cases based on common structural cues.
-      zh_Hans: 将输入文本分块为语义有意义的片段，同时基于常见的结构线索处理各种文本类型和特殊情况。
-      pt_BR: Dividir o texto de entrada em segmentos semanticamente significativos, enquanto lida com uma ampla variedade de tipos de texto e casos de borda com base em pistas estruturais comuns.
-    form: form
-  - name: tokenizer
-    type: select
-    options:
-      - value: cl100k_base
-        label:
-          en_US: cl100k_base
-      - value: o200k_base
-        label:
-          en_US: o200k_base
-      - value: p50k_base
-        label:
-          en_US: p50k_base
-      - value: r50k_base
-        label:
-          en_US: r50k_base
-      - value: p50k_edit
-        label:
-          en_US: p50k_edit
-      - value: gpt2
-        label:
-          en_US: gpt2
-    label:
-      en_US: Tokenizer
-    human_description:
-      en_US: |
-        · cl100k_base --- gpt-4, gpt-3.5-turbo, gpt-3.5
-        · o200k_base  --- gpt-4o, gpt-4o-mini
-        · p50k_base   --- text-davinci-003, text-davinci-002
-        · r50k_base   --- text-davinci-001, text-curie-001
-        · p50k_edit   --- text-davinci-edit-001, code-davinci-edit-001
-        · gpt2        --- gpt-2
-    form: form
diff --git a/api/core/tools/provider/builtin/json_process/_assets/icon.svg b/api/core/tools/provider/builtin/json_process/_assets/icon.svg
deleted file mode 100644
index b123983836..0000000000
--- a/api/core/tools/provider/builtin/json_process/_assets/icon.svg
+++ /dev/null
@@ -1,358 +0,0 @@
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
-	 width="800px" height="800px" viewBox="0 0 512 512" enable-background="new 0 0 512 512" xml:space="preserve">
-<path fill="#000000" opacity="1.000000" stroke="none" 
-	d="
-M440.000000,513.000000 
-	C318.311890,513.000000 196.623810,513.000000 74.361206,512.639771 
-	C64.559074,509.683868 57.815937,503.042450 57.833218,492.112061 
-	C58.078167,337.217957 58.013832,182.323349 57.973289,27.428858 
-	C57.970104,15.265683 62.303032,5.957079 74.000000,1.000000 
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diff --git a/api/core/tools/provider/builtin/json_process/json_process.py b/api/core/tools/provider/builtin/json_process/json_process.py
deleted file mode 100644
index 10746210b5..0000000000
--- a/api/core/tools/provider/builtin/json_process/json_process.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.json_process.tools.parse import JSONParseTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class JsonExtractProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            JSONParseTool().invoke(
-                user_id="",
-                tool_parameters={"content": '{"name": "John", "age": 30, "city": "New York"}', "json_filter": "$.name"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/json_process/json_process.yaml b/api/core/tools/provider/builtin/json_process/json_process.yaml
deleted file mode 100644
index c7896bbea7..0000000000
--- a/api/core/tools/provider/builtin/json_process/json_process.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
-identity:
-  author: Mingwei Zhang
-  name: json_process
-  label:
-    en_US: JSON Process
-    zh_Hans: JSON 处理
-    pt_BR: JSON Process
-  description:
-    en_US: Tools for processing JSON content using jsonpath_ng
-    zh_Hans: 利用 jsonpath_ng 处理 JSON 内容的工具
-    pt_BR: Tools for processing JSON content using jsonpath_ng
-  icon: icon.svg
-  tags:
-    - utilities
diff --git a/api/core/tools/provider/builtin/json_process/tools/delete.py b/api/core/tools/provider/builtin/json_process/tools/delete.py
deleted file mode 100644
index 06f6cacd5d..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/delete.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import json
-from typing import Any, Union
-
-from jsonpath_ng import parse  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JSONDeleteTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the JSON delete tool
-        """
-        # Get content
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        # Get query
-        query = tool_parameters.get("query", "")
-        if not query:
-            return self.create_text_message("Invalid parameter query")
-
-        ensure_ascii = tool_parameters.get("ensure_ascii", True)
-        try:
-            result = self._delete(content, query, ensure_ascii)
-            return self.create_text_message(str(result))
-        except Exception as e:
-            return self.create_text_message(f"Failed to delete JSON content: {str(e)}")
-
-    def _delete(self, origin_json: str, query: str, ensure_ascii: bool) -> str:
-        try:
-            input_data = json.loads(origin_json)
-            expr = parse("$." + query.lstrip("$."))  # Ensure query path starts with $
-
-            matches = expr.find(input_data)
-
-            if not matches:
-                return json.dumps(input_data, ensure_ascii=ensure_ascii)  # No changes if no matches found
-
-            for match in matches:
-                if isinstance(match.context.value, dict):
-                    # Delete key from dictionary
-                    del match.context.value[match.path.fields[-1]]
-                elif isinstance(match.context.value, list):
-                    # Remove item from list
-                    match.context.value.remove(match.value)
-                else:
-                    # For other cases, we might want to set to None or remove the parent key
-                    parent = match.context.parent
-                    if parent:
-                        del parent.value[match.path.fields[-1]]
-
-            return json.dumps(input_data, ensure_ascii=ensure_ascii)
-        except Exception as e:
-            raise Exception(f"Delete operation failed: {str(e)}")
diff --git a/api/core/tools/provider/builtin/json_process/tools/delete.yaml b/api/core/tools/provider/builtin/json_process/tools/delete.yaml
deleted file mode 100644
index 4d390e40d1..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/delete.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-identity:
-  name: json_delete
-  author: Mingwei Zhang
-  label:
-    en_US: JSON Delete
-    zh_Hans: JSON 删除
-    pt_BR: JSON Delete
-description:
-  human:
-    en_US: A tool for deleting JSON content
-    zh_Hans: 一个删除 JSON 内容的工具
-    pt_BR: A tool for deleting JSON content
-  llm: A tool for deleting JSON content
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: JSON content
-      zh_Hans: JSON 内容
-      pt_BR: JSON content
-    human_description:
-      en_US: JSON content to be processed
-      zh_Hans: 待处理的 JSON 内容
-      pt_BR: JSON content to be processed
-    llm_description: JSON content to be processed
-    form: llm
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-      pt_BR: Query
-    human_description:
-      en_US: JSONPath query to locate the element to delete
-      zh_Hans: 用于定位要删除元素的 JSONPath 查询
-      pt_BR: JSONPath query to locate the element to delete
-    llm_description: JSONPath query to locate the element to delete
-    form: llm
-  - name: ensure_ascii
-    type: boolean
-    default: true
-    label:
-      en_US: Ensure ASCII
-      zh_Hans: 确保 ASCII
-      pt_BR: Ensure ASCII
-    human_description:
-      en_US: Ensure the JSON output is ASCII encoded
-      zh_Hans: 确保输出的 JSON 是 ASCII 编码
-      pt_BR: Ensure the JSON output is ASCII encoded
-    form: form
diff --git a/api/core/tools/provider/builtin/json_process/tools/insert.py b/api/core/tools/provider/builtin/json_process/tools/insert.py
deleted file mode 100644
index e825329a6d..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/insert.py
+++ /dev/null
@@ -1,105 +0,0 @@
-import json
-from typing import Any, Union
-
-from jsonpath_ng import parse  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JSONParseTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get content
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        # get query
-        query = tool_parameters.get("query", "")
-        if not query:
-            return self.create_text_message("Invalid parameter query")
-
-        # get new value
-        new_value = tool_parameters.get("new_value", "")
-        if not new_value:
-            return self.create_text_message("Invalid parameter new_value")
-
-        # get insert position
-        index = tool_parameters.get("index")
-
-        # get create path
-        create_path = tool_parameters.get("create_path", False)
-
-        # get value decode.
-        # if true, it will be decoded to an dict
-        value_decode = tool_parameters.get("value_decode", False)
-
-        ensure_ascii = tool_parameters.get("ensure_ascii", True)
-        try:
-            result = self._insert(content, query, new_value, ensure_ascii, value_decode, index, create_path)
-            return self.create_text_message(str(result))
-        except Exception:
-            return self.create_text_message("Failed to insert JSON content")
-
-    def _insert(
-        self, origin_json, query, new_value, ensure_ascii: bool, value_decode: bool, index=None, create_path=False
-    ):
-        try:
-            input_data = json.loads(origin_json)
-            expr = parse(query)
-            if value_decode is True:
-                try:
-                    new_value = json.loads(new_value)
-                except json.JSONDecodeError:
-                    return "Cannot decode new value to json object"
-
-            matches = expr.find(input_data)
-
-            if not matches and create_path:
-                # create new path
-                path_parts = query.strip("$").strip(".").split(".")
-                current = input_data
-                for i, part in enumerate(path_parts):
-                    if "[" in part and "]" in part:
-                        # process array index
-                        array_name, index = part.split("[")
-                        index = int(index.rstrip("]"))
-                        if array_name not in current:
-                            current[array_name] = []
-                        while len(current[array_name]) <= index:
-                            current[array_name].append({})
-                        current = current[array_name][index]
-                    else:
-                        if i == len(path_parts) - 1:
-                            current[part] = new_value
-                        elif part not in current:
-                            current[part] = {}
-                        current = current[part]
-            else:
-                for match in matches:
-                    if isinstance(match.value, dict):
-                        # insert new value into dict
-                        if isinstance(new_value, dict):
-                            match.value.update(new_value)
-                        else:
-                            raise ValueError("Cannot insert non-dict value into dict")
-                    elif isinstance(match.value, list):
-                        # insert new value into list
-                        if index is None:
-                            match.value.append(new_value)
-                        else:
-                            match.value.insert(int(index), new_value)
-                    else:
-                        # replace old value with new value
-                        match.full_path.update(input_data, new_value)
-
-            return json.dumps(input_data, ensure_ascii=ensure_ascii)
-        except Exception as e:
-            return str(e)
diff --git a/api/core/tools/provider/builtin/json_process/tools/insert.yaml b/api/core/tools/provider/builtin/json_process/tools/insert.yaml
deleted file mode 100644
index 21b51312da..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/insert.yaml
+++ /dev/null
@@ -1,101 +0,0 @@
-identity:
-  name: json_insert
-  author: Mingwei Zhang
-  label:
-    en_US: JSON Insert
-    zh_Hans: JSON 插入
-    pt_BR: JSON Insert
-description:
-  human:
-    en_US: A tool for inserting JSON content
-    zh_Hans: 一个插入 JSON 内容的工具
-    pt_BR: A tool for inserting JSON content
-  llm: A tool for inserting JSON content
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: JSON content
-      zh_Hans: JSON 内容
-      pt_BR: JSON content
-    human_description:
-      en_US: JSON content
-      zh_Hans: JSON 内容
-      pt_BR: JSON content
-    llm_description: JSON content to be processed
-    form: llm
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-      pt_BR: Query
-    human_description:
-      en_US: Object to insert
-      zh_Hans: 待插入的对象
-      pt_BR: Object to insert
-    llm_description: JSONPath query to locate the element to insert
-    form: llm
-  - name: new_value
-    type: string
-    required: true
-    label:
-      en_US: New Value
-      zh_Hans: 新值
-      pt_BR: New Value
-    human_description:
-      en_US: New Value
-      zh_Hans: 插入的新值
-      pt_BR: New Value
-    llm_description: New Value to insert
-    form: llm
-  - name: value_decode
-    type: boolean
-    default: false
-    label:
-      en_US: Decode Value
-      zh_Hans: 解码值
-      pt_BR: Decode Value
-    human_description:
-      en_US: Whether to decode the value to a JSON object
-      zh_Hans: 是否将值解码为 JSON 对象
-      pt_BR: Whether to decode the value to a JSON object
-    form: form
-  - name: create_path
-    type: select
-    required: true
-    default: "False"
-    label:
-      en_US: Whether to create a path
-      zh_Hans: 是否创建路径
-      pt_BR: Whether to create a path
-    human_description:
-      en_US: Whether to create a path when the path does not exist
-      zh_Hans: 查询路径不存在时是否创建路径
-      pt_BR: Whether to create a path when the path does not exist
-    options:
-      - value: "True"
-        label:
-          en_US: "Yes"
-          zh_Hans: 是
-          pt_BR: "Yes"
-      - value: "False"
-        label:
-          en_US: "No"
-          zh_Hans: 否
-          pt_BR: "No"
-    form: form
-  - name: ensure_ascii
-    type: boolean
-    default: true
-    label:
-      en_US: Ensure ASCII
-      zh_Hans: 确保 ASCII
-      pt_BR: Ensure ASCII
-    human_description:
-      en_US: Ensure the JSON output is ASCII encoded
-      zh_Hans: 确保输出的 JSON 是 ASCII 编码
-      pt_BR: Ensure the JSON output is ASCII encoded
-    form: form
diff --git a/api/core/tools/provider/builtin/json_process/tools/parse.py b/api/core/tools/provider/builtin/json_process/tools/parse.py
deleted file mode 100644
index 193017ba9a..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/parse.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import json
-from typing import Any, Union
-
-from jsonpath_ng import parse  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JSONParseTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get content
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        # get json filter
-        json_filter = tool_parameters.get("json_filter", "")
-        if not json_filter:
-            return self.create_text_message("Invalid parameter json_filter")
-
-        ensure_ascii = tool_parameters.get("ensure_ascii", True)
-        try:
-            result = self._extract(content, json_filter, ensure_ascii)
-            return self.create_text_message(str(result))
-        except Exception:
-            return self.create_text_message("Failed to extract JSON content")
-
-    # Extract data from JSON content
-    def _extract(self, content: str, json_filter: str, ensure_ascii: bool) -> str:
-        try:
-            input_data = json.loads(content)
-            expr = parse(json_filter)
-            result = [match.value for match in expr.find(input_data)]
-
-            if not result:
-                return ""
-
-            if len(result) == 1:
-                result = result[0]
-
-            if isinstance(result, dict | list):
-                return json.dumps(result, ensure_ascii=ensure_ascii)
-            elif isinstance(result, str | int | float | bool) or result is None:
-                return str(result)
-            else:
-                return repr(result)
-        except Exception as e:
-            return str(e)
diff --git a/api/core/tools/provider/builtin/json_process/tools/parse.yaml b/api/core/tools/provider/builtin/json_process/tools/parse.yaml
deleted file mode 100644
index c35f4eac07..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/parse.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-identity:
-  name: parse
-  author: Mingwei Zhang
-  label:
-    en_US: JSON Parse
-    zh_Hans: JSON 解析
-    pt_BR: JSON Parse
-description:
-  human:
-    en_US: A tool for extracting JSON objects
-    zh_Hans: 一个解析JSON对象的工具
-    pt_BR: A tool for extracting JSON objects
-  llm: A tool for extracting JSON objects
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: JSON data
-      zh_Hans: JSON数据
-      pt_BR: JSON data
-    human_description:
-      en_US: JSON data
-      zh_Hans: JSON数据
-      pt_BR: JSON数据
-    llm_description: JSON data to be processed
-    form: llm
-  - name: json_filter
-    type: string
-    required: true
-    label:
-      en_US: JSON filter
-      zh_Hans: JSON解析对象
-      pt_BR: JSON filter
-    human_description:
-      en_US: JSON fields to be parsed
-      zh_Hans: 需要解析的 JSON 字段
-      pt_BR: JSON fields to be parsed
-    llm_description: JSON fields to be parsed
-    form: llm
-  - name: ensure_ascii
-    type: boolean
-    default: true
-    label:
-      en_US: Ensure ASCII
-      zh_Hans: 确保 ASCII
-      pt_BR: Ensure ASCII
-    human_description:
-      en_US: Ensure the JSON output is ASCII encoded
-      zh_Hans: 确保输出的 JSON 是 ASCII 编码
-      pt_BR: Ensure the JSON output is ASCII encoded
-    form: form
diff --git a/api/core/tools/provider/builtin/json_process/tools/replace.py b/api/core/tools/provider/builtin/json_process/tools/replace.py
deleted file mode 100644
index feca0d8a7c..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/replace.py
+++ /dev/null
@@ -1,129 +0,0 @@
-import json
-from typing import Any, Union
-
-from jsonpath_ng import parse  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class JSONReplaceTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get content
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        # get query
-        query = tool_parameters.get("query", "")
-        if not query:
-            return self.create_text_message("Invalid parameter query")
-
-        # get replace value
-        replace_value = tool_parameters.get("replace_value", "")
-        if not replace_value:
-            return self.create_text_message("Invalid parameter replace_value")
-
-        # get replace model
-        replace_model = tool_parameters.get("replace_model", "")
-        if not replace_model:
-            return self.create_text_message("Invalid parameter replace_model")
-
-        # get value decode.
-        # if true, it will be decoded to an dict
-        value_decode = tool_parameters.get("value_decode", False)
-
-        ensure_ascii = tool_parameters.get("ensure_ascii", True)
-        try:
-            if replace_model == "pattern":
-                # get replace pattern
-                replace_pattern = tool_parameters.get("replace_pattern", "")
-                if not replace_pattern:
-                    return self.create_text_message("Invalid parameter replace_pattern")
-                result = self._replace_pattern(
-                    content, query, replace_pattern, replace_value, ensure_ascii, value_decode
-                )
-            elif replace_model == "key":
-                result = self._replace_key(content, query, replace_value, ensure_ascii)
-            elif replace_model == "value":
-                result = self._replace_value(content, query, replace_value, ensure_ascii, value_decode)
-            return self.create_text_message(str(result))
-        except Exception:
-            return self.create_text_message("Failed to replace JSON content")
-
-    # Replace pattern
-    def _replace_pattern(
-        self, content: str, query: str, replace_pattern: str, replace_value: str, ensure_ascii: bool, value_decode: bool
-    ) -> str:
-        try:
-            input_data = json.loads(content)
-            expr = parse(query)
-
-            matches = expr.find(input_data)
-
-            for match in matches:
-                new_value = match.value.replace(replace_pattern, replace_value)
-                if value_decode is True:
-                    try:
-                        new_value = json.loads(new_value)
-                    except json.JSONDecodeError:
-                        return "Cannot decode replace value to json object"
-
-                match.full_path.update(input_data, new_value)
-
-            return json.dumps(input_data, ensure_ascii=ensure_ascii)
-        except Exception as e:
-            return str(e)
-
-    # Replace key
-    def _replace_key(self, content: str, query: str, replace_value: str, ensure_ascii: bool) -> str:
-        try:
-            input_data = json.loads(content)
-            expr = parse(query)
-
-            matches = expr.find(input_data)
-
-            for match in matches:
-                parent = match.context.value
-                if isinstance(parent, dict):
-                    old_key = match.path.fields[0]
-                    if old_key in parent:
-                        value = parent.pop(old_key)
-                        parent[replace_value] = value
-                elif isinstance(parent, list):
-                    for item in parent:
-                        if isinstance(item, dict) and old_key in item:
-                            value = item.pop(old_key)
-                            item[replace_value] = value
-            return json.dumps(input_data, ensure_ascii=ensure_ascii)
-        except Exception as e:
-            return str(e)
-
-    # Replace value
-    def _replace_value(
-        self, content: str, query: str, replace_value: str, ensure_ascii: bool, value_decode: bool
-    ) -> str:
-        try:
-            input_data = json.loads(content)
-            expr = parse(query)
-            if value_decode is True:
-                try:
-                    replace_value = json.loads(replace_value)
-                except json.JSONDecodeError:
-                    return "Cannot decode replace value to json object"
-
-            matches = expr.find(input_data)
-
-            for match in matches:
-                match.full_path.update(input_data, replace_value)
-
-            return json.dumps(input_data, ensure_ascii=ensure_ascii)
-        except Exception as e:
-            return str(e)
diff --git a/api/core/tools/provider/builtin/json_process/tools/replace.yaml b/api/core/tools/provider/builtin/json_process/tools/replace.yaml
deleted file mode 100644
index ae238b1fbc..0000000000
--- a/api/core/tools/provider/builtin/json_process/tools/replace.yaml
+++ /dev/null
@@ -1,119 +0,0 @@
-identity:
-  name: json_replace
-  author: Mingwei Zhang
-  label:
-    en_US: JSON Replace
-    zh_Hans: JSON 替换
-    pt_BR: JSON Replace
-description:
-  human:
-    en_US: A tool for replacing JSON content
-    zh_Hans: 一个替换 JSON 内容的工具
-    pt_BR: A tool for replacing JSON content
-  llm: A tool for replacing JSON content
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: JSON content
-      zh_Hans: JSON 内容
-      pt_BR: JSON content
-    human_description:
-      en_US: JSON content
-      zh_Hans: JSON 内容
-      pt_BR: JSON content
-    llm_description: JSON content to be processed
-    form: llm
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-      pt_BR: Query
-    human_description:
-      en_US: Query
-      zh_Hans: 查询
-      pt_BR: Query
-    llm_description: JSONPath query to locate the element to replace
-    form: llm
-  - name: replace_pattern
-    type: string
-    required: false
-    label:
-      en_US: String to be replaced
-      zh_Hans: 待替换字符串
-      pt_BR: String to be replaced
-    human_description:
-      en_US: String to be replaced
-      zh_Hans: 待替换字符串
-      pt_BR: String to be replaced
-    llm_description: String to be replaced
-    form: llm
-  - name: replace_value
-    type: string
-    required: true
-    label:
-      en_US: Replace Value
-      zh_Hans: 替换值
-      pt_BR: Replace Value
-    human_description:
-      en_US: New Value
-      zh_Hans: 新值
-      pt_BR: New Value
-    llm_description: New Value to replace
-    form: llm
-  - name: value_decode
-    type: boolean
-    default: false
-    label:
-      en_US: Decode Value
-      zh_Hans: 解码值
-      pt_BR: Decode Value
-    human_description:
-      en_US: Whether to decode the value to a JSON object (Does not apply to replace key)
-      zh_Hans: 是否将值解码为 JSON 对象 (不适用于键替换)
-      pt_BR: Whether to decode the value to a JSON object (Does not apply to replace key)
-    form: form
-  - name: replace_model
-    type: select
-    required: true
-    default: pattern
-    label:
-      en_US: Replace Model
-      zh_Hans: 替换模式
-      pt_BR: Replace Model
-    human_description:
-      en_US: Replace Model
-      zh_Hans: 替换模式
-      pt_BR: Replace Model
-    options:
-      - value: key
-        label:
-          en_US: replace key
-          zh_Hans: 键替换
-          pt_BR: replace key
-      - value: value
-        label:
-          en_US: replace value
-          zh_Hans: 值替换
-          pt_BR: replace value
-      - value: pattern
-        label:
-          en_US: replace string
-          zh_Hans: 字符串替换
-          pt_BR: replace string
-    form: form
-  - name: ensure_ascii
-    type: boolean
-    default: true
-    label:
-      en_US: Ensure ASCII
-      zh_Hans: 确保 ASCII
-      pt_BR: Ensure ASCII
-    human_description:
-      en_US: Ensure the JSON output is ASCII encoded
-      zh_Hans: 确保输出的 JSON 是 ASCII 编码
-      pt_BR: Ensure the JSON output is ASCII encoded
-    form: form
diff --git a/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg b/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg
deleted file mode 100644
index 3e7e33da6e..0000000000
--- a/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg
+++ /dev/null
@@ -1,21 +0,0 @@
-<?xml version="1.0" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 20010904//EN"
- "http://www.w3.org/TR/2001/REC-SVG-20010904/DTD/svg10.dtd">
-<svg version="1.0" xmlns="http://www.w3.org/2000/svg"
- width="128.000000pt" height="128.000000pt" viewBox="0 0 128.000000 128.000000"
- preserveAspectRatio="xMidYMid meet">
-
-<g transform="translate(0.000000,128.000000) scale(0.100000,-0.100000)"
-fill="#000000" stroke="none">
-<path d="M0 975 l0 -305 33 1 c54 0 336 35 343 41 3 4 0 57 -7 118 -10 85 -17
-113 -29 120 -47 25 -45 104 2 133 13 8 118 26 246 41 208 26 225 26 248 11 14
--9 30 -27 36 -41 10 -22 8 -33 -10 -68 l-23 -42 40 -316 40 -315 30 -31 c17
--17 31 -38 31 -47 0 -25 -27 -72 -46 -79 -35 -13 -450 -59 -476 -53 -52 13
--70 85 -32 127 10 13 10 33 -1 120 -8 58 -15 111 -15 118 0 16 -31 16 -237 -5
-l-173 -17 0 -243 0 -243 640 0 640 0 0 640 0 640 -640 0 -640 0 0 -305z"/>
-<path d="M578 977 c-128 -16 -168 -24 -168 -35 0 -10 8 -12 28 -8 15 3 90 12
-167 21 167 18 188 23 180 35 -7 12 -1 12 -207 -13z"/>
-<path d="M660 326 c-100 -13 -163 -25 -160 -31 3 -5 14 -9 25 -8 104 11 305
-35 323 39 12 2 22 9 22 14 0 13 -14 12 -210 -14z"/>
-</g>
-</svg>
diff --git a/api/core/tools/provider/builtin/judge0ce/judge0ce.py b/api/core/tools/provider/builtin/judge0ce/judge0ce.py
deleted file mode 100644
index 50db74dd9e..0000000000
--- a/api/core/tools/provider/builtin/judge0ce/judge0ce.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.judge0ce.tools.executeCode import ExecuteCodeTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class Judge0CEProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            ExecuteCodeTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "source_code": "print('hello world')",
-                    "language_id": 71,
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml b/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml
deleted file mode 100644
index 9ff8aaac6d..0000000000
--- a/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  author: Richards Tu
-  name: judge0ce
-  label:
-    en_US: Judge0 CE
-    zh_Hans: Judge0 CE
-    pt_BR: Judge0 CE
-  description:
-    en_US: Judge0 CE is an open-source code execution system. Support various languages, including C, C++, Java, Python, Ruby, etc.
-    zh_Hans: Judge0 CE 是一个开源的代码执行系统。支持多种语言，包括 C、C++、Java、Python、Ruby 等。
-    pt_BR: Judge0 CE é um sistema de execução de código de código aberto. Suporta várias linguagens, incluindo C, C++, Java, Python, Ruby, etc.
-  icon: icon.svg
-  tags:
-    - utilities
-    - other
-credentials_for_provider:
-  X-RapidAPI-Key:
-    type: secret-input
-    required: true
-    label:
-      en_US: RapidAPI Key
-      zh_Hans: RapidAPI Key
-      pt_BR: RapidAPI Key
-    help:
-      en_US: RapidAPI Key is required to access the Judge0 CE API.
-      zh_Hans: RapidAPI Key 是访问 Judge0 CE API 所必需的。
-      pt_BR: RapidAPI Key é necessário para acessar a API do Judge0 CE.
-    placeholder:
-      en_US: Enter your RapidAPI Key
-      zh_Hans: 输入你的 RapidAPI Key
-      pt_BR: Insira sua RapidAPI Key
-    url: https://rapidapi.com/judge0-official/api/judge0-ce
diff --git a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py b/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py
deleted file mode 100644
index b8d654ff63..0000000000
--- a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-from httpx import post
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class ExecuteCodeTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        api_key = self.runtime.credentials["X-RapidAPI-Key"]
-
-        url = "https://judge0-ce.p.rapidapi.com/submissions"
-
-        querystring = {"base64_encoded": "false", "fields": "*"}
-
-        headers = {
-            "Content-Type": "application/json",
-            "X-RapidAPI-Key": api_key,
-            "X-RapidAPI-Host": "judge0-ce.p.rapidapi.com",
-        }
-
-        payload = {
-            "language_id": tool_parameters["language_id"],
-            "source_code": tool_parameters["source_code"],
-            "stdin": tool_parameters.get("stdin", ""),
-            "expected_output": tool_parameters.get("expected_output", ""),
-            "additional_files": tool_parameters.get("additional_files", ""),
-        }
-
-        response = post(url, data=json.dumps(payload), headers=headers, params=querystring)
-
-        if response.status_code != 201:
-            raise Exception(response.text)
-
-        token = response.json()["token"]
-
-        url = f"https://judge0-ce.p.rapidapi.com/submissions/{token}"
-        headers = {"X-RapidAPI-Key": api_key}
-
-        response = requests.get(url, headers=headers)
-        if response.status_code == 200:
-            result = response.json()
-            return self.create_text_message(
-                text=f"stdout: {result.get('stdout', '')}\n"
-                f"stderr: {result.get('stderr', '')}\n"
-                f"compile_output: {result.get('compile_output', '')}\n"
-                f"message: {result.get('message', '')}\n"
-                f"status: {result['status']['description']}\n"
-                f"time: {result.get('time', '')} seconds\n"
-                f"memory: {result.get('memory', '')} bytes"
-            )
-        else:
-            return self.create_text_message(text=f"Error retrieving submission details: {response.text}")
diff --git a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml b/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml
deleted file mode 100644
index a8c0776f40..0000000000
--- a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml
+++ /dev/null
@@ -1,67 +0,0 @@
-identity:
-  name: submitCodeExecutionTask
-  author: Richards Tu
-  label:
-    en_US: Submit Code Execution Task to Judge0 CE and get execution result.
-    zh_Hans: 提交代码执行任务到 Judge0 CE 并获取执行结果。
-description:
-  human:
-    en_US: A tool for executing code and getting the result.
-    zh_Hans: 一个用于执行代码并获取结果的工具。
-  llm: This tool is used for executing code and getting the result.
-parameters:
-  - name: source_code
-    type: string
-    required: true
-    label:
-      en_US: Source Code
-      zh_Hans: 源代码
-    human_description:
-      en_US: The source code to be executed.
-      zh_Hans: 要执行的源代码。
-    llm_description: The source code to be executed.
-    form: llm
-  - name: language_id
-    type: number
-    required: true
-    label:
-      en_US: Language ID
-      zh_Hans: 语言 ID
-    human_description:
-      en_US: The ID of the language in which the source code is written.
-      zh_Hans: 源代码所使用的语言的 ID。
-    llm_description: The ID of the language in which the source code is written. For example, 50 for C++, 71 for Python, etc.
-    form: llm
-  - name: stdin
-    type: string
-    required: false
-    label:
-      en_US: Standard Input
-      zh_Hans: 标准输入
-    human_description:
-      en_US: The standard input to be provided to the program.
-      zh_Hans: 提供给程序的标准输入。
-    llm_description: The standard input to be provided to the program. Optional.
-    form: llm
-  - name: expected_output
-    type: string
-    required: false
-    label:
-      en_US: Expected Output
-      zh_Hans: 期望输出
-    human_description:
-      en_US: The expected output of the program. Used for comparison in some scenarios.
-      zh_Hans: 程序的期望输出。在某些场景下用于比较。
-    llm_description: The expected output of the program. Used for comparison in some scenarios. Optional.
-    form: llm
-  - name: additional_files
-    type: string
-    required: false
-    label:
-      en_US: Additional Files
-      zh_Hans: 附加文件
-    human_description:
-      en_US: Base64 encoded additional files for the submission.
-      zh_Hans: 提交的 Base64 编码的附加文件。
-    llm_description: Base64 encoded additional files for the submission. Optional.
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/_assets/icon.png b/api/core/tools/provider/builtin/lark_base/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/lark_base/lark_base.py b/api/core/tools/provider/builtin/lark_base/lark_base.py
deleted file mode 100644
index de9b368311..0000000000
--- a/api/core/tools/provider/builtin/lark_base/lark_base.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkBaseProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_base/lark_base.yaml b/api/core/tools/provider/builtin/lark_base/lark_base.yaml
deleted file mode 100644
index 200b2e22cf..0000000000
--- a/api/core/tools/provider/builtin/lark_base/lark_base.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_base
-  label:
-    en_US: Lark Base
-    zh_Hans: Lark 多维表格
-  description:
-    en_US: |
-      Lark base, requires the following permissions: bitable:app.
-    zh_Hans: |
-      Lark 多维表格，需要开通以下权限: bitable:app。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_base/tools/add_records.py b/api/core/tools/provider/builtin/lark_base/tools/add_records.py
deleted file mode 100644
index c46898062a..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/add_records.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class AddRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        records = tool_parameters.get("records")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.add_records(app_token, table_id, table_name, records, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/add_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/add_records.yaml
deleted file mode 100644
index f2a93490dc..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/add_records.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-identity:
-  name: add_records
-  author: Doug Lea
-  label:
-    en_US: Add Records
-    zh_Hans: 新增多条记录
-description:
-  human:
-    en_US: Add Multiple Records to Multidimensional Table
-    zh_Hans: 在多维表格数据表中新增多条记录
-  llm: A tool for adding multiple records to a multidimensional table. (在多维表格数据表中新增多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: records
-    type: string
-    required: true
-    label:
-      en_US: records
-      zh_Hans: 记录列表
-    human_description:
-      en_US: |
-        List of records to be added in this request. Example value: [{"multi-line-text":"text content","single_select":"option 1","date":1674206443000}]
-        For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure).
-      zh_Hans: |
-        本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。
-        当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    llm_description: |
-      本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。
-      当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_base.py b/api/core/tools/provider/builtin/lark_base/tools/create_base.py
deleted file mode 100644
index a857c6ced6..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/create_base.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateBaseTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        name = tool_parameters.get("name")
-        folder_token = tool_parameters.get("folder_token")
-
-        res = client.create_base(name, folder_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml b/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml
deleted file mode 100644
index e622edf336..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-identity:
-  name: create_base
-  author: Doug Lea
-  label:
-    en_US: Create Base
-    zh_Hans: 创建多维表格
-description:
-  human:
-    en_US: Create Multidimensional Table in Specified Directory
-    zh_Hans: 在指定目录下创建多维表格
-  llm: A tool for creating a multidimensional table in a specified directory. (在指定目录下创建多维表格)
-parameters:
-  - name: name
-    type: string
-    required: false
-    label:
-      en_US: name
-      zh_Hans: 多维表格 App 名字
-    human_description:
-      en_US: |
-        Name of the multidimensional table App. Example value: "A new multidimensional table".
-      zh_Hans: 多维表格 App 名字，示例值："一篇新的多维表格"。
-    llm_description: 多维表格 App 名字，示例值："一篇新的多维表格"。
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: folder_token
-      zh_Hans: 多维表格 App 归属文件夹
-    human_description:
-      en_US: |
-        Folder where the multidimensional table App belongs. Default is empty, meaning the table will be created in the root directory of the cloud space. Example values: Lf8uf6BoAlWkUfdGtpMjUV0PpZd or https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd.
-        The folder_token must be an existing folder and supports inputting folder token or folder URL.
-      zh_Hans: |
-        多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Lf8uf6BoAlWkUfdGtpMjUV0PpZd 或者 https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。
-        folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。
-    llm_description: |
-      多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Lf8uf6BoAlWkUfdGtpMjUV0PpZd 或者 https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。
-      folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_table.py b/api/core/tools/provider/builtin/lark_base/tools/create_table.py
deleted file mode 100644
index aff7e715b7..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/create_table.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateTableTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_name = tool_parameters.get("table_name")
-        default_view_name = tool_parameters.get("default_view_name")
-        fields = tool_parameters.get("fields")
-
-        res = client.create_table(app_token, table_name, default_view_name, fields)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml b/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml
deleted file mode 100644
index 8b1007b9a5..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-identity:
-  name: create_table
-  author: Doug Lea
-  label:
-    en_US: Create Table
-    zh_Hans: 新增数据表
-description:
-  human:
-    en_US: Add a Data Table to Multidimensional Table
-    zh_Hans: 在多维表格中新增一个数据表
-  llm: A tool for adding a data table to a multidimensional table. (在多维表格中新增一个数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: true
-    label:
-      en_US: Table Name
-      zh_Hans: 数据表名称
-    human_description:
-      en_US: |
-        The name of the data table, length range: 1 character to 100 characters.
-      zh_Hans: 数据表名称，长度范围：1 字符 ～ 100 字符。
-    llm_description: 数据表名称，长度范围：1 字符 ～ 100 字符。
-    form: llm
-
-  - name: default_view_name
-    type: string
-    required: false
-    label:
-      en_US: Default View Name
-      zh_Hans: 默认表格视图的名称
-    human_description:
-      en_US: The name of the default table view, defaults to "Table" if not filled.
-      zh_Hans: 默认表格视图的名称，不填则默认为"表格"。
-    llm_description: 默认表格视图的名称，不填则默认为"表格"。
-    form: llm
-
-  - name: fields
-    type: string
-    required: true
-    label:
-      en_US: Initial Fields
-      zh_Hans: 初始字段
-    human_description:
-      en_US: |
-        Initial fields of the data table, format: [ { "field_name": "Multi-line Text","type": 1 },{ "field_name": "Number","type": 2 },{ "field_name": "Single Select","type": 3 },{ "field_name": "Multiple Select","type": 4 },{ "field_name": "Date","type": 5 } ]. For field details, refer to: https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-      zh_Hans: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-    llm_description: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_records.py b/api/core/tools/provider/builtin/lark_base/tools/delete_records.py
deleted file mode 100644
index 1b0a747050..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/delete_records.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class DeleteRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        record_ids = tool_parameters.get("record_ids")
-
-        res = client.delete_records(app_token, table_id, table_name, record_ids)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml
deleted file mode 100644
index c30ebd630c..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-identity:
-  name: delete_records
-  author: Doug Lea
-  label:
-    en_US: Delete Records
-    zh_Hans: 删除多条记录
-description:
-  human:
-    en_US: Delete Multiple Records from Multidimensional Table
-    zh_Hans: 删除多维表格数据表中的多条记录
-  llm: A tool for deleting multiple records from a multidimensional table. (删除多维表格数据表中的多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: record_ids
-    type: string
-    required: true
-    label:
-      en_US: Record IDs
-      zh_Hans: 记录 ID 列表
-    human_description:
-      en_US: |
-        List of IDs for the records to be deleted, example value: ["recwNXzPQv"].
-      zh_Hans: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。
-    llm_description: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py b/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py
deleted file mode 100644
index e0ecae2f17..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class DeleteTablesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_ids = tool_parameters.get("table_ids")
-        table_names = tool_parameters.get("table_names")
-
-        res = client.delete_tables(app_token, table_ids, table_names)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml b/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml
deleted file mode 100644
index 498126eae5..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-identity:
-  name: delete_tables
-  author: Doug Lea
-  label:
-    en_US: Delete Tables
-    zh_Hans: 删除数据表
-description:
-  human:
-    en_US: Batch Delete Data Tables from Multidimensional Table
-    zh_Hans: 批量删除多维表格中的数据表
-  llm: A tool for batch deleting data tables from a multidimensional table. (批量删除多维表格中的数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_ids
-    type: string
-    required: false
-    label:
-      en_US: Table IDs
-      zh_Hans: 数据表 ID
-    human_description:
-      en_US: |
-        IDs of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["tbl1TkhyTWDkSoZ3"]. Ensure that either table_ids or table_names is not empty.
-      zh_Hans: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。
-    llm_description: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。
-    form: llm
-
-  - name: table_names
-    type: string
-    required: false
-    label:
-      en_US: Table Names
-      zh_Hans: 数据表名称
-    human_description:
-      en_US: |
-        Names of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["Table1", "Table2"]. Ensure that either table_names or table_ids is not empty.
-      zh_Hans: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。
-    llm_description: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py b/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py
deleted file mode 100644
index 2c23248b88..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetBaseInfoTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-
-        res = client.get_base_info(app_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml b/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml
deleted file mode 100644
index eb0e7a26c0..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: get_base_info
-  author: Doug Lea
-  label:
-    en_US: Get Base Info
-    zh_Hans: 获取多维表格元数据
-description:
-  human:
-    en_US: Get Metadata Information of Specified Multidimensional Table
-    zh_Hans: 获取指定多维表格的元数据信息
-  llm: A tool for getting metadata information of a specified multidimensional table. (获取指定多维表格的元数据信息)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/list_tables.py b/api/core/tools/provider/builtin/lark_base/tools/list_tables.py
deleted file mode 100644
index 55b706854b..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/list_tables.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ListTablesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        page_token = tool_parameters.get("page_token")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.list_tables(app_token, page_token, page_size)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml b/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml
deleted file mode 100644
index 7571519039..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml
+++ /dev/null
@@ -1,50 +0,0 @@
-identity:
-  name: list_tables
-  author: Doug Lea
-  label:
-    en_US: List Tables
-    zh_Hans: 列出数据表
-description:
-  human:
-    en_US: Get All Data Tables under Multidimensional Table
-    zh_Hans: 获取多维表格下的所有数据表
-  llm: A tool for getting all data tables under a multidimensional table. (获取多维表格下的所有数据表)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: |
-        Page size, default value: 20, maximum value: 100.
-      zh_Hans: 分页大小，默认值：20，最大值：100。
-    llm_description: 分页大小，默认值：20，最大值：100。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: |
-        Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW".
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/read_records.py b/api/core/tools/provider/builtin/lark_base/tools/read_records.py
deleted file mode 100644
index 5cf25aad84..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/read_records.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ReadRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        record_ids = tool_parameters.get("record_ids")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_records(app_token, table_id, table_name, record_ids, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml
deleted file mode 100644
index 911e667cfc..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml
+++ /dev/null
@@ -1,86 +0,0 @@
-identity:
-  name: read_records
-  author: Doug Lea
-  label:
-    en_US: Read Records
-    zh_Hans: 批量获取记录
-description:
-  human:
-    en_US: Batch Retrieve Records from Multidimensional Table
-    zh_Hans: 批量获取多维表格数据表中的记录信息
-  llm: A tool for batch retrieving records from a multidimensional table, supporting up to 100 records per call. (批量获取多维表格数据表中的记录信息，单次调用最多支持查询 100 条记录)
-
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: record_ids
-    type: string
-    required: true
-    label:
-      en_US: record_ids
-      zh_Hans: 记录 ID 列表
-    human_description:
-      en_US: List of record IDs, which can be obtained by calling the "Query Records API".
-      zh_Hans: 记录 ID 列表，可以通过调用"查询记录接口"获取。
-    llm_description: 记录 ID 列表，可以通过调用"查询记录接口"获取。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_base/tools/search_records.py b/api/core/tools/provider/builtin/lark_base/tools/search_records.py
deleted file mode 100644
index 9b0abcf067..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/search_records.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class SearchRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        view_id = tool_parameters.get("view_id")
-        field_names = tool_parameters.get("field_names")
-        sort = tool_parameters.get("sort")
-        filters = tool_parameters.get("filter")
-        page_token = tool_parameters.get("page_token")
-        automatic_fields = tool_parameters.get("automatic_fields", False)
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.search_record(
-            app_token,
-            table_id,
-            table_name,
-            view_id,
-            field_names,
-            sort,
-            filters,
-            page_token,
-            automatic_fields,
-            user_id_type,
-            page_size,
-        )
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml
deleted file mode 100644
index edd86ab9d6..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml
+++ /dev/null
@@ -1,163 +0,0 @@
-identity:
-  name: search_records
-  author: Doug Lea
-  label:
-    en_US: Search Records
-    zh_Hans: 查询记录
-description:
-  human:
-    en_US: Query records in a multidimensional table, up to 500 rows per query.
-    zh_Hans: 查询多维表格数据表中的记录，单次最多查询 500 行记录。
-  llm: A tool for querying records in a multidimensional table, up to 500 rows per query. (查询多维表格数据表中的记录，单次最多查询 500 行记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: view_id
-    type: string
-    required: false
-    label:
-      en_US: view_id
-      zh_Hans: 视图唯一标识
-    human_description:
-      en_US: |
-        Unique identifier for a view in a multidimensional table. It can be found in the URL's query parameter with the key 'view'. For example: https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU.
-      zh_Hans: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU。
-    llm_description: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU。
-    form: llm
-
-  - name: field_names
-    type: string
-    required: false
-    label:
-      en_US: field_names
-      zh_Hans: 字段名称
-    human_description:
-      en_US: |
-        Field names to specify which fields to include in the returned records. Example value: ["Field1", "Field2"].
-      zh_Hans: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。
-    llm_description: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。
-    form: llm
-
-  - name: sort
-    type: string
-    required: false
-    label:
-      en_US: sort
-      zh_Hans: 排序条件
-    human_description:
-      en_US: |
-        Sorting conditions, for example: [{"field_name":"Multiline Text","desc":true}].
-      zh_Hans: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。
-    llm_description: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。
-    form: llm
-
-  - name: filter
-    type: string
-    required: false
-    label:
-      en_US: filter
-      zh_Hans: 筛选条件
-    human_description:
-      en_US: Object containing filter information. For details on how to fill in the filter, refer to the record filter parameter guide (https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide).
-      zh_Hans: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。
-    llm_description: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。
-    form: llm
-
-  - name: automatic_fields
-    type: boolean
-    required: false
-    label:
-      en_US: automatic_fields
-      zh_Hans: automatic_fields
-    human_description:
-      en_US: Whether to return automatically calculated fields. Default is false, meaning they are not returned.
-      zh_Hans: 是否返回自动计算的字段。默认为 false，表示不返回。
-    llm_description: 是否返回自动计算的字段。默认为 false，表示不返回。
-    form: form
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: |
-        Page size, default value: 20, maximum value: 500.
-      zh_Hans: 分页大小，默认值：20，最大值：500。
-    llm_description: 分页大小，默认值：20，最大值：500。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: |
-        Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW".
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_base/tools/update_records.py b/api/core/tools/provider/builtin/lark_base/tools/update_records.py
deleted file mode 100644
index 7c263df2bb..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/update_records.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class UpdateRecordsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        app_token = tool_parameters.get("app_token")
-        table_id = tool_parameters.get("table_id")
-        table_name = tool_parameters.get("table_name")
-        records = tool_parameters.get("records")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.update_records(app_token, table_id, table_name, records, user_id_type)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml
deleted file mode 100644
index 68117e7136..0000000000
--- a/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-identity:
-  name: update_records
-  author: Doug Lea
-  label:
-    en_US: Update Records
-    zh_Hans: 更新多条记录
-description:
-  human:
-    en_US: Update Multiple Records in Multidimensional Table
-    zh_Hans: 更新多维表格数据表中的多条记录
-  llm: A tool for updating multiple records in a multidimensional table. (更新多维表格数据表中的多条记录)
-parameters:
-  - name: app_token
-    type: string
-    required: true
-    label:
-      en_US: app_token
-      zh_Hans: app_token
-    human_description:
-      en_US: Unique identifier for the multidimensional table, supports inputting document URL.
-      zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。
-    llm_description: 多维表格的唯一标识符，支持输入文档 URL。
-    form: llm
-
-  - name: table_id
-    type: string
-    required: false
-    label:
-      en_US: table_id
-      zh_Hans: table_id
-    human_description:
-      en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: table_name
-    type: string
-    required: false
-    label:
-      en_US: table_name
-      zh_Hans: table_name
-    human_description:
-      en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously.
-      zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。
-    form: llm
-
-  - name: records
-    type: string
-    required: true
-    label:
-      en_US: records
-      zh_Hans: 记录列表
-    human_description:
-      en_US: |
-        List of records to be updated in this request. Example value: [{"fields":{"multi-line-text":"text content","single_select":"option 1","date":1674206443000},"record_id":"recupK4f4RM5RX"}].
-        For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure).
-      zh_Hans: |
-        本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。
-        当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    llm_description: |
-      本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。
-      当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_calendar/_assets/icon.png b/api/core/tools/provider/builtin/lark_calendar/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py b/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py
deleted file mode 100644
index 871de69cc1..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkCalendarProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml b/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml
deleted file mode 100644
index 72c41e36c0..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_calendar
-  label:
-    en_US: Lark Calendar
-    zh_Hans: Lark 日历
-  description:
-    en_US: |
-      Lark calendar, requires the following permissions: calendar:calendar:read、calendar:calendar、contact:user.id:readonly.
-    zh_Hans: |
-      Lark 日历，需要开通以下权限: calendar:calendar:read、calendar:calendar、contact:user.id:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py b/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py
deleted file mode 100644
index f5929893dd..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class AddEventAttendeesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id")
-        attendee_phone_or_email = tool_parameters.get("attendee_phone_or_email")
-        need_notification = tool_parameters.get("need_notification", True)
-
-        res = client.add_event_attendees(event_id, attendee_phone_or_email, need_notification)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml
deleted file mode 100644
index 9d7a131907..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-identity:
-  name: add_event_attendees
-  author: Doug Lea
-  label:
-    en_US: Add Event Attendees
-    zh_Hans: 添加日程参会人
-description:
-  human:
-    en_US: Add Event Attendees
-    zh_Hans: 添加日程参会人
-  llm: A tool for adding attendees to events in Lark. (在 Lark 中添加日程参会人)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, which will be returned when the event is created. For example: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0.
-      zh_Hans: |
-        创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。
-    llm_description: |
-      日程 ID，创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否需要通知
-    human_description:
-      en_US: |
-        Whether to send a Bot notification to attendees. true: send, false: do not send.
-      zh_Hans: |
-        是否给参与人发送 Bot 通知，true: 发送，false: 不发送。
-    llm_description: |
-      是否给参与人发送 Bot 通知，true: 发送，false: 不发送。
-    form: form
-
-  - name: attendee_phone_or_email
-    type: string
-    required: true
-    label:
-      en_US: Attendee Phone or Email
-      zh_Hans: 参会人电话或邮箱
-    human_description:
-      en_US: The list of attendee emails or phone numbers, separated by commas.
-      zh_Hans: 日程参会人邮箱或者手机号列表，使用逗号分隔。
-    llm_description: 日程参会人邮箱或者手机号列表，使用逗号分隔。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py
deleted file mode 100644
index 8a0726008c..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        summary = tool_parameters.get("summary")
-        description = tool_parameters.get("description")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        attendee_ability = tool_parameters.get("attendee_ability")
-        need_notification = tool_parameters.get("need_notification", True)
-        auto_record = tool_parameters.get("auto_record", False)
-
-        res = client.create_event(
-            summary, description, start_time, end_time, attendee_ability, need_notification, auto_record
-        )
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml
deleted file mode 100644
index b738736e63..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml
+++ /dev/null
@@ -1,119 +0,0 @@
-identity:
-  name: create_event
-  author: Doug Lea
-  label:
-    en_US: Create Event
-    zh_Hans: 创建日程
-description:
-  human:
-    en_US: Create Event
-    zh_Hans: 创建日程
-  llm: A tool for creating events in Lark.(创建 Lark 日程)
-parameters:
-  - name: summary
-    type: string
-    required: false
-    label:
-      en_US: Summary
-      zh_Hans: 日程标题
-    human_description:
-      en_US: The title of the event. If not filled, the event title will display (No Subject).
-      zh_Hans: 日程标题，若不填则日程标题显示 (无主题)。
-    llm_description: 日程标题，若不填则日程标题显示 (无主题)。
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Description
-      zh_Hans: 日程描述
-    human_description:
-      en_US: The description of the event.
-      zh_Hans: 日程描述。
-    llm_description: 日程描述。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否发送通知
-    human_description:
-      en_US: |
-        Whether to send a bot message when the event is created, true: send, false: do not send.
-      zh_Hans: 创建日程时是否发送 bot 消息，true：发送，false：不发送。
-    llm_description: 创建日程时是否发送 bot 消息，true：发送，false：不发送。
-    form: form
-
-  - name: start_time
-    type: string
-    required: true
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程开始时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: true
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程结束时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: attendee_ability
-    type: select
-    required: false
-    options:
-      - value: none
-        label:
-          en_US: none
-          zh_Hans: 无
-      - value: can_see_others
-        label:
-          en_US: can_see_others
-          zh_Hans: 可以查看参与人列表
-      - value: can_invite_others
-        label:
-          en_US: can_invite_others
-          zh_Hans: 可以邀请其它参与人
-      - value: can_modify_event
-        label:
-          en_US: can_modify_event
-          zh_Hans: 可以编辑日程
-    default: "none"
-    label:
-      en_US: attendee_ability
-      zh_Hans: 参会人权限
-    human_description:
-      en_US: Attendee ability, optional values are none, can_see_others, can_invite_others, can_modify_event, with a default value of none.
-      zh_Hans: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。
-    llm_description: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。
-    form: form
-
-  - name: auto_record
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Auto Record
-      zh_Hans: 自动录制
-    human_description:
-      en_US: |
-        Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled.
-      zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py
deleted file mode 100644
index 0e4ceac5e5..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class DeleteEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id")
-        need_notification = tool_parameters.get("need_notification", True)
-
-        res = client.delete_event(event_id, need_notification)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml
deleted file mode 100644
index cdd6d7e1bb..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: delete_event
-  author: Doug Lea
-  label:
-    en_US: Delete Event
-    zh_Hans: 删除日程
-description:
-  human:
-    en_US: Delete Event
-    zh_Hans: 删除日程
-  llm: A tool for deleting events in Lark.(在 Lark 中删除日程)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0.
-      zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    default: true
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否需要通知
-    human_description:
-      en_US: |
-        Indicates whether to send bot notifications to event participants upon deletion. true: send, false: do not send.
-      zh_Hans: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。
-    llm_description: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py b/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py
deleted file mode 100644
index d315bf35f0..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetPrimaryCalendarTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.get_primary_calendar(user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml
deleted file mode 100644
index fe61594770..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-identity:
-  name: get_primary_calendar
-  author: Doug Lea
-  label:
-    en_US: Get Primary Calendar
-    zh_Hans: 查询主日历信息
-description:
-  human:
-    en_US: Get Primary Calendar
-    zh_Hans: 查询主日历信息
-  llm: A tool for querying primary calendar information in Lark.(在 Lark 中查询主日历信息)
-parameters:
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py b/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py
deleted file mode 100644
index d74cc049d3..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ListEventsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        page_token = tool_parameters.get("page_token")
-        page_size = tool_parameters.get("page_size")
-
-        res = client.list_events(start_time, end_time, page_token, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml
deleted file mode 100644
index cef332f527..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml
+++ /dev/null
@@ -1,62 +0,0 @@
-identity:
-  name: list_events
-  author: Doug Lea
-  label:
-    en_US: List Events
-    zh_Hans: 获取日程列表
-description:
-  human:
-    en_US: List Events
-    zh_Hans: 获取日程列表
-  llm: A tool for listing events in Lark.(在 Lark 中获取日程列表)
-parameters:
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 50
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 50, and the value range is [50,1000].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py b/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py
deleted file mode 100644
index a20038e47d..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class SearchEventsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        query = tool_parameters.get("query")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        page_token = tool_parameters.get("page_token")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.search_events(query, start_time, end_time, page_token, user_id_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml
deleted file mode 100644
index 4d4f8819c1..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml
+++ /dev/null
@@ -1,100 +0,0 @@
-identity:
-  name: search_events
-  author: Doug Lea
-  label:
-    en_US: Search Events
-    zh_Hans: 搜索日程
-description:
-  human:
-    en_US: Search Events
-    zh_Hans: 搜索日程
-  llm: A tool for searching events in Lark.(在 Lark 中搜索日程)
-parameters:
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 搜索关键字
-    human_description:
-      en_US: The search keyword used for fuzzy searching event names, with a maximum input of 200 characters.
-      zh_Hans: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。
-    llm_description: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05.
-      zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [10,100].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py
deleted file mode 100644
index a04029377f..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class UpdateEventTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        event_id = tool_parameters.get("event_id")
-        summary = tool_parameters.get("summary")
-        description = tool_parameters.get("description")
-        need_notification = tool_parameters.get("need_notification", True)
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        auto_record = tool_parameters.get("auto_record", False)
-
-        res = client.update_event(event_id, summary, description, need_notification, start_time, end_time, auto_record)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml
deleted file mode 100644
index b9992e5b03..0000000000
--- a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml
+++ /dev/null
@@ -1,100 +0,0 @@
-identity:
-  name: update_event
-  author: Doug Lea
-  label:
-    en_US: Update Event
-    zh_Hans: 更新日程
-description:
-  human:
-    en_US: Update Event
-    zh_Hans: 更新日程
-  llm: A tool for updating events in Lark.(更新 Lark 中的日程)
-parameters:
-  - name: event_id
-    type: string
-    required: true
-    label:
-      en_US: Event ID
-      zh_Hans: 日程 ID
-    human_description:
-      en_US: |
-        The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0.
-      zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。
-    form: llm
-
-  - name: summary
-    type: string
-    required: false
-    label:
-      en_US: Summary
-      zh_Hans: 日程标题
-    human_description:
-      en_US: The title of the event.
-      zh_Hans: 日程标题。
-    llm_description: 日程标题。
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Description
-      zh_Hans: 日程描述
-    human_description:
-      en_US: The description of the event.
-      zh_Hans: 日程描述。
-    llm_description: 日程描述。
-    form: llm
-
-  - name: need_notification
-    type: boolean
-    required: false
-    label:
-      en_US: Need Notification
-      zh_Hans: 是否发送通知
-    human_description:
-      en_US: |
-        Whether to send a bot message when the event is updated, true: send, false: do not send.
-      zh_Hans: 更新日程时是否发送 bot 消息，true：发送，false：不发送。
-    llm_description: 更新日程时是否发送 bot 消息，true：发送，false：不发送。
-    form: form
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 开始时间
-    human_description:
-      en_US: |
-        The start time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程开始时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: |
-        The end time of the event, format: 2006-01-02 15:04:05.
-      zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。
-    llm_description: 日程结束时间，格式：2006-01-02 15:04:05。
-    form: llm
-
-  - name: auto_record
-    type: boolean
-    required: false
-    label:
-      en_US: Auto Record
-      zh_Hans: 自动录制
-    human_description:
-      en_US: |
-        Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled.
-      zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_document/_assets/icon.svg b/api/core/tools/provider/builtin/lark_document/_assets/icon.svg
deleted file mode 100644
index 5a0a6416b3..0000000000
--- a/api/core/tools/provider/builtin/lark_document/_assets/icon.svg
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg xmlns="http://www.w3.org/2000/svg" version="1.1" width="64px" height="64px" style="shape-rendering:geometricPrecision; text-rendering:geometricPrecision; image-rendering:optimizeQuality; fill-rule:evenodd; clip-rule:evenodd" xmlns:xlink="http://www.w3.org/1999/xlink">
-<g><path style="opacity:1" fill="#fefefe" d="M -0.5,-0.5 C 20.8333,-0.5 42.1667,-0.5 63.5,-0.5C 63.5,20.8333 63.5,42.1667 63.5,63.5C 42.1667,63.5 20.8333,63.5 -0.5,63.5C -0.5,42.1667 -0.5,20.8333 -0.5,-0.5 Z"/></g>
-<g><path style="opacity:1" fill="#346df3" d="M 47.5,33.5 C 43.3272,29.8779 38.9939,29.7112 34.5,33C 32.682,35.4897 30.3487,37.3231 27.5,38.5C 23.5003,43.5136 24.167,47.847 29.5,51.5C 24.1563,51.666 18.8229,51.4994 13.5,51C 13,50.5 12.5,50 12,49.5C 11.3333,36.8333 11.3333,24.1667 12,11.5C 12.5,11 13,10.5 13.5,10C 24.1667,9.33333 34.8333,9.33333 45.5,10C 46,10.5 46.5,11 47,11.5C 47.4997,18.8258 47.6663,26.1591 47.5,33.5 Z"/></g>
-<g><path style="opacity:1" fill="#f9fafe" d="M 20.5,19.5 C 25.1785,19.3342 29.8452,19.5008 34.5,20C 35.8333,21 35.8333,22 34.5,23C 29.8333,23.6667 25.1667,23.6667 20.5,23C 19.3157,21.8545 19.3157,20.6879 20.5,19.5 Z"/></g>
-<g><path style="opacity:1" fill="#f3f6fe" d="M 20.5,27.5 C 22.5273,27.3379 24.5273,27.5045 26.5,28C 27.8333,29 27.8333,30 26.5,31C 24.5,31.6667 22.5,31.6667 20.5,31C 19.3157,29.8545 19.3157,28.6879 20.5,27.5 Z"/></g>
-<g><path style="opacity:1" fill="#36d4c1" d="M 47.5,33.5 C 48.7298,35.2972 49.3964,37.2972 49.5,39.5C 51.3904,39.2965 52.8904,39.9632 54,41.5C 55.1825,45.2739 54.3492,48.4406 51.5,51C 44.1742,51.4997 36.8409,51.6663 29.5,51.5C 24.167,47.847 23.5003,43.5136 27.5,38.5C 30.3487,37.3231 32.682,35.4897 34.5,33C 38.9939,29.7112 43.3272,29.8779 47.5,33.5 Z"/></g>
-</svg>
diff --git a/api/core/tools/provider/builtin/lark_document/lark_document.py b/api/core/tools/provider/builtin/lark_document/lark_document.py
deleted file mode 100644
index b128327602..0000000000
--- a/api/core/tools/provider/builtin/lark_document/lark_document.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkDocumentProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_document/lark_document.yaml b/api/core/tools/provider/builtin/lark_document/lark_document.yaml
deleted file mode 100644
index 0cb4ae1d62..0000000000
--- a/api/core/tools/provider/builtin/lark_document/lark_document.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_document
-  label:
-    en_US: Lark Cloud Document
-    zh_Hans: Lark 云文档
-  description:
-    en_US: |
-      Lark cloud document, requires the following permissions: docx:document、drive:drive、docs:document.content:read.
-    zh_Hans: |
-      Lark 云文档，需要开通以下权限: docx:document、drive:drive、docs:document.content:read。
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_document/tools/create_document.py b/api/core/tools/provider/builtin/lark_document/tools/create_document.py
deleted file mode 100644
index 2b1dae0db5..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/create_document.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateDocumentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        title = tool_parameters.get("title")
-        content = tool_parameters.get("content")
-        folder_token = tool_parameters.get("folder_token")
-
-        res = client.create_document(title, content, folder_token)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml b/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml
deleted file mode 100644
index 37a1e23041..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-identity:
-  name: create_document
-  author: Doug Lea
-  label:
-    en_US: Create Lark document
-    zh_Hans: 创建 Lark 文档
-description:
-  human:
-    en_US: Create Lark document
-    zh_Hans: 创建 Lark 文档，支持创建空文档和带内容的文档，支持 markdown 语法创建。应用需要开启机器人能力(https://open.larksuite.com/document/faq/trouble-shooting/how-to-enable-bot-ability)。
-  llm: A tool for creating Lark documents.
-parameters:
-  - name: title
-    type: string
-    required: false
-    label:
-      en_US: Document title
-      zh_Hans: 文档标题
-    human_description:
-      en_US: Document title, only supports plain text content.
-      zh_Hans: 文档标题，只支持纯文本内容。
-    llm_description: 文档标题，只支持纯文本内容，可以为空。
-    form: llm
-
-  - name: content
-    type: string
-    required: false
-    label:
-      en_US: Document content
-      zh_Hans: 文档内容
-    human_description:
-      en_US: Document content, supports markdown syntax, can be empty.
-      zh_Hans: 文档内容，支持 markdown 语法，可以为空。
-    llm_description: 文档内容，支持 markdown 语法，可以为空。
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: folder_token
-      zh_Hans: 文档所在文件夹的 Token
-    human_description:
-      en_US: |
-        The token of the folder where the document is located. If it is not passed or is empty, it means the root directory. For Example: https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd
-      zh_Hans: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。
-    llm_description: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py b/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py
deleted file mode 100644
index d15211b57e..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetDocumentRawContentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id")
-        mode = tool_parameters.get("mode", "markdown")
-        lang = tool_parameters.get("lang", "0")
-
-        res = client.get_document_content(document_id, mode, lang)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml b/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml
deleted file mode 100644
index fd6a033bfd..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml
+++ /dev/null
@@ -1,70 +0,0 @@
-identity:
-  name: get_document_content
-  author: Doug Lea
-  label:
-    en_US: Get Lark Cloud Document Content
-    zh_Hans: 获取 Lark 云文档的内容
-description:
-  human:
-    en_US: Get lark cloud document content
-    zh_Hans: 获取 Lark 云文档的内容
-  llm: A tool for retrieving content from Lark cloud documents.
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: Lark 文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Lark document. You can also input the document's URL.
-      zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。
-    llm_description: Lark 文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: mode
-    type: select
-    required: false
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: text
-      - value: markdown
-        label:
-          en_US: markdown
-          zh_Hans: markdown
-    default: "markdown"
-    label:
-      en_US: mode
-      zh_Hans: 文档返回格式
-    human_description:
-      en_US: Format of the document return, optional values are text, markdown, can be empty, default is markdown.
-      zh_Hans: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。
-    llm_description: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。
-    form: form
-
-  - name: lang
-    type: select
-    required: false
-    options:
-      - value: "0"
-        label:
-          en_US: User's default name
-          zh_Hans: 用户的默认名称
-      - value: "1"
-        label:
-          en_US: User's English name
-          zh_Hans: 用户的英文名称
-    default: "0"
-    label:
-      en_US: lang
-      zh_Hans: 指定@用户的语言
-    human_description:
-      en_US: |
-        Specifies the language for MentionUser, optional values are [0, 1]. 0: User's default name, 1: User's English name, default is 0.
-      zh_Hans: |
-        指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。
-    llm_description: |
-      指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py b/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py
deleted file mode 100644
index b96a87489e..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ListDocumentBlockTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id")
-        page_token = tool_parameters.get("page_token", "")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-        page_size = tool_parameters.get("page_size", 500)
-
-        res = client.list_document_blocks(document_id, page_token, user_id_type, page_size)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml b/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml
deleted file mode 100644
index 08b673e0ae..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-identity:
-  name: list_document_blocks
-  author: Doug Lea
-  label:
-    en_US: List Lark Document Blocks
-    zh_Hans: 获取 Lark 文档所有块
-description:
-  human:
-    en_US: List lark document blocks
-    zh_Hans: 获取 Lark 文档所有块的富文本内容并分页返回
-  llm: A tool to get all blocks of Lark documents
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: Lark 文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Lark document. You can also input the document's URL.
-      zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。
-    llm_description: Lark 文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 500
-    label:
-      en_US: page_size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: Paging size, the default and maximum value is 500.
-      zh_Hans: 分页大小, 默认值和最大值为 500。
-    llm_description: 分页大小, 表示一次请求最多返回多少条数据，默认值和最大值为 500。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: page_token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: Pagination token used to navigate through query results, allowing retrieval of additional items in subsequent requests.
-      zh_Hans: 分页标记，用于分页查询结果，以便下次遍历时获取更多项。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_document/tools/write_document.py b/api/core/tools/provider/builtin/lark_document/tools/write_document.py
deleted file mode 100644
index 888e0e39fc..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/write_document.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateDocumentTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        document_id = tool_parameters.get("document_id")
-        content = tool_parameters.get("content")
-        position = tool_parameters.get("position", "end")
-
-        res = client.write_document(document_id, content, position)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml b/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml
deleted file mode 100644
index 9cdf034ed0..0000000000
--- a/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml
+++ /dev/null
@@ -1,57 +0,0 @@
-identity:
-  name: write_document
-  author: Doug Lea
-  label:
-    en_US: Write Document
-    zh_Hans: 在 Lark 文档中新增内容
-description:
-  human:
-    en_US: Adding new content to Lark documents
-    zh_Hans: 在 Lark 文档中新增内容
-  llm: A tool for adding new content to Lark documents.
-parameters:
-  - name: document_id
-    type: string
-    required: true
-    label:
-      en_US: document_id
-      zh_Hans: Lark 文档的唯一标识
-    human_description:
-      en_US: Unique identifier for a Lark document. You can also input the document's URL.
-      zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。
-    llm_description: Lark 文档的唯一标识，支持输入文档的 URL。
-    form: llm
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: Plain text or Markdown content
-      zh_Hans: 纯文本或 Markdown 内容
-    human_description:
-      en_US: Plain text or Markdown content. Note that embedded tables in the document should not have merged cells.
-      zh_Hans: 纯文本或 Markdown 内容。注意文档的内嵌套表格不允许有单元格合并。
-    llm_description: 纯文本或 Markdown 内容，注意文档的内嵌套表格不允许有单元格合并。
-    form: llm
-
-  - name: position
-    type: select
-    required: false
-    options:
-      - value: start
-        label:
-          en_US: document start
-          zh_Hans: 文档开始
-      - value: end
-        label:
-          en_US: document end
-          zh_Hans: 文档结束
-    default: "end"
-    label:
-      en_US: position
-      zh_Hans: 内容添加位置
-    human_description:
-      en_US: Content insertion position, optional values are start, end. 'start' means adding content at the beginning of the document; 'end' means adding content at the end of the document. The default value is end.
-      zh_Hans: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。
-    llm_description: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/_assets/icon.png b/api/core/tools/provider/builtin/lark_message_and_group/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.py b/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.py
deleted file mode 100644
index de6997b0bf..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkMessageAndGroupProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml b/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml
deleted file mode 100644
index ad3fe0f361..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_message_and_group
-  label:
-    en_US: Lark Message And Group
-    zh_Hans: Lark 消息和群组
-  description:
-    en_US: |
-      Lark message and group, requires the following permissions: im:message、im:message.group_msg.
-    zh_Hans: |
-      Lark 消息和群组，需要开通以下权限: im:message、im:message.group_msg。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py
deleted file mode 100644
index 118bac7ab7..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetChatMessagesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        container_id = tool_parameters.get("container_id")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        page_token = tool_parameters.get("page_token")
-        sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.get_chat_messages(container_id, start_time, end_time, page_token, sort_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml
deleted file mode 100644
index 965b45a5fb..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml
+++ /dev/null
@@ -1,96 +0,0 @@
-identity:
-  name: get_chat_messages
-  author: Doug Lea
-  label:
-    en_US: Get Chat Messages
-    zh_Hans: 获取指定单聊、群聊的消息历史
-description:
-  human:
-    en_US: Get Chat Messages
-    zh_Hans: 获取指定单聊、群聊的消息历史
-  llm: A tool for getting chat messages from specific one-on-one chats or group chats.(获取指定单聊、群聊的消息历史)
-parameters:
-  - name: container_id
-    type: string
-    required: true
-    label:
-      en_US: Container Id
-      zh_Hans: 群聊或单聊的 ID
-    human_description:
-      en_US: The ID of the group chat or single chat. Refer to the group ID description for how to obtain it. https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description
-      zh_Hans: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description
-    llm_description: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 起始时间
-    human_description:
-      en_US: The start time for querying historical messages, formatted as "2006-01-02 15:04:05".
-      zh_Hans: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。
-    llm_description: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 结束时间
-    human_description:
-      en_US: The end time for querying historical messages, formatted as "2006-01-02 15:04:05".
-      zh_Hans: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。
-    llm_description: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。
-    form: llm
-
-  - name: sort_type
-    type: select
-    required: false
-    options:
-      - value: ByCreateTimeAsc
-        label:
-          en_US: ByCreateTimeAsc
-          zh_Hans: ByCreateTimeAsc
-      - value: ByCreateTimeDesc
-        label:
-          en_US: ByCreateTimeDesc
-          zh_Hans: ByCreateTimeDesc
-    default: "ByCreateTimeAsc"
-    label:
-      en_US: Sort Type
-      zh_Hans: 排序方式
-    human_description:
-      en_US: |
-        The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway.
-      zh_Hans: |
-        消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py
deleted file mode 100644
index 3509d9bbcf..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetChatMessagesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        container_id = tool_parameters.get("container_id")
-        page_token = tool_parameters.get("page_token")
-        sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc")
-        page_size = tool_parameters.get("page_size", 20)
-
-        res = client.get_thread_messages(container_id, page_token, sort_type, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml
deleted file mode 100644
index 5f7a4f0902..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: get_thread_messages
-  author: Doug Lea
-  label:
-    en_US: Get Thread Messages
-    zh_Hans: 获取指定话题的消息历史
-description:
-  human:
-    en_US: Get Thread Messages
-    zh_Hans: 获取指定话题的消息历史
-  llm: A tool for getting chat messages from specific threads.(获取指定话题的消息历史)
-parameters:
-  - name: container_id
-    type: string
-    required: true
-    label:
-      en_US: Thread Id
-      zh_Hans: 话题 ID
-    human_description:
-      en_US: The ID of the thread. Refer to the thread overview on how to obtain the thread_id. https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-      zh_Hans: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-    llm_description: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction
-    form: llm
-
-  - name: sort_type
-    type: select
-    required: false
-    options:
-      - value: ByCreateTimeAsc
-        label:
-          en_US: ByCreateTimeAsc
-          zh_Hans: ByCreateTimeAsc
-      - value: ByCreateTimeDesc
-        label:
-          en_US: ByCreateTimeDesc
-          zh_Hans: ByCreateTimeDesc
-    default: "ByCreateTimeAsc"
-    label:
-      en_US: Sort Type
-      zh_Hans: 排序方式
-    human_description:
-      en_US: |
-        The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway.
-      zh_Hans: |
-        消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。
-    form: form
-
-  - name: page_size
-    type: number
-    required: false
-    default: 20
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50].
-      zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py
deleted file mode 100644
index b0a8df61e8..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class SendBotMessageTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        receive_id_type = tool_parameters.get("receive_id_type")
-        receive_id = tool_parameters.get("receive_id")
-        msg_type = tool_parameters.get("msg_type")
-        content = tool_parameters.get("content")
-
-        res = client.send_bot_message(receive_id_type, receive_id, msg_type, content)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml
deleted file mode 100644
index b949c5e016..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml
+++ /dev/null
@@ -1,125 +0,0 @@
-identity:
-  name: send_bot_message
-  author: Doug Lea
-  label:
-    en_US: Send Bot Message
-    zh_Hans: 发送 Lark 应用消息
-description:
-  human:
-    en_US: Send bot message
-    zh_Hans: 发送 Lark 应用消息
-  llm: A tool for sending Lark application messages.
-parameters:
-  - name: receive_id
-    type: string
-    required: true
-    label:
-      en_US: receive_id
-      zh_Hans: 消息接收者的 ID
-    human_description:
-      en_US: The ID of the message receiver, the ID type is consistent with the value of the query parameter receive_id_type.
-      zh_Hans: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。
-    llm_description: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。
-    form: llm
-
-  - name: receive_id_type
-    type: select
-    required: true
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-      - value: email
-        label:
-          en_US: email
-          zh_Hans: email
-      - value: chat_id
-        label:
-          en_US: chat_id
-          zh_Hans: chat_id
-    label:
-      en_US: receive_id_type
-      zh_Hans: 消息接收者的 ID 类型
-    human_description:
-      en_US: The ID type of the message receiver, optional values are open_id, union_id, user_id, email, chat_id, with a default value of open_id.
-      zh_Hans: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。
-    llm_description: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。
-    form: form
-
-  - name: msg_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: interactive
-        label:
-          en_US: interactive
-          zh_Hans: 卡片
-      - value: post
-        label:
-          en_US: post
-          zh_Hans: 富文本
-      - value: image
-        label:
-          en_US: image
-          zh_Hans: 图片
-      - value: file
-        label:
-          en_US: file
-          zh_Hans: 文件
-      - value: audio
-        label:
-          en_US: audio
-          zh_Hans: 语音
-      - value: media
-        label:
-          en_US: media
-          zh_Hans: 视频
-      - value: sticker
-        label:
-          en_US: sticker
-          zh_Hans: 表情包
-      - value: share_chat
-        label:
-          en_US: share_chat
-          zh_Hans: 分享群名片
-      - value: share_user
-        label:
-          en_US: share_user
-          zh_Hans: 分享个人名片
-      - value: system
-        label:
-          en_US: system
-          zh_Hans: 系统消息
-    label:
-      en_US: msg_type
-      zh_Hans: 消息类型
-    human_description:
-      en_US: Message type. Optional values are text, post, image, file, audio, media, sticker, interactive, share_chat, share_user, system. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: form
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-    human_description:
-      en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py
deleted file mode 100644
index 18a605079f..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class SendWebhookMessageTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        webhook = tool_parameters.get("webhook")
-        msg_type = tool_parameters.get("msg_type")
-        content = tool_parameters.get("content")
-
-        res = client.send_webhook_message(webhook, msg_type, content)
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml
deleted file mode 100644
index ea13cae52b..0000000000
--- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml
+++ /dev/null
@@ -1,68 +0,0 @@
-identity:
-  name: send_webhook_message
-  author: Doug Lea
-  label:
-    en_US: Send Webhook Message
-    zh_Hans: 使用自定义机器人发送 Lark 消息
-description:
-  human:
-    en_US: Send webhook message
-    zh_Hans: 使用自定义机器人发送 Lark 消息
-  llm: A tool for sending Lark messages using a custom robot.
-parameters:
-  - name: webhook
-    type: string
-    required: true
-    label:
-      en_US: webhook
-      zh_Hans: webhook
-    human_description:
-      en_US: |
-        The address of the webhook, the format of the webhook address corresponding to the bot is as follows: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx. For details, please refer to: Lark Custom Bot Usage Guide(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot)
-      zh_Hans: |
-        webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: Lark 自定义机器人使用指南(https://open.larksuite.com/document/client-docs/bot-v3/add-custom-bot)
-    llm_description: |
-      webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: Lark 自定义机器人使用指南(https://open.larksuite.com/document/client-docs/bot-v3/add-custom-bot)
-    form: llm
-
-  - name: msg_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: interactive
-        label:
-          en_US: interactive
-          zh_Hans: 卡片
-      - value: image
-        label:
-          en_US: image
-          zh_Hans: 图片
-      - value: share_chat
-        label:
-          en_US: share_chat
-          zh_Hans: 分享群名片
-    label:
-      en_US: msg_type
-      zh_Hans: 消息类型
-    human_description:
-      en_US: Message type. Optional values are text, image, interactive, share_chat. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: form
-
-
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-    human_description:
-      en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json).
-      zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/_assets/icon.png b/api/core/tools/provider/builtin/lark_spreadsheet/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.py b/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.py
deleted file mode 100644
index c791363f21..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkMessageProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml
deleted file mode 100644
index 030b5c9063..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_spreadsheet
-  label:
-    en_US: Lark Spreadsheet
-    zh_Hans: Lark 电子表格
-  description:
-    en_US: |
-      Lark Spreadsheet, requires the following permissions: sheets:spreadsheet.
-    zh_Hans: |
-      Lark 电子表格，需要开通以下权限: sheets:spreadsheet。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py
deleted file mode 100644
index deeb5a1ecf..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class AddColsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        length = tool_parameters.get("length")
-        values = tool_parameters.get("values")
-
-        res = client.add_cols(spreadsheet_token, sheet_id, sheet_name, length, values)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml
deleted file mode 100644
index b73335f405..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: add_cols
-  author: Doug Lea
-  label:
-    en_US: Add Cols
-    zh_Hans: 新增多列至工作表最后
-description:
-  human:
-    en_US: Add Cols
-    zh_Hans: 新增多列至工作表最后
-  llm: A tool for adding multiple columns to the end of a spreadsheet. (新增多列至工作表最后)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: length
-    type: number
-    required: true
-    label:
-      en_US: length
-      zh_Hans: 要增加的列数
-    human_description:
-      en_US: Number of columns to add, range (0-5000].
-      zh_Hans: 要增加的列数，范围(0-5000]。
-    llm_description: 要增加的列数，范围(0-5000]。
-    form: form
-
-  - name: values
-    type: string
-    required: false
-    label:
-      en_US: values
-      zh_Hans: 新增列的单元格内容
-    human_description:
-      en_US: |
-        Content of the new columns, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ].
-      zh_Hans: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    llm_description: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py
deleted file mode 100644
index f434b1c603..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class AddRowsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        length = tool_parameters.get("length")
-        values = tool_parameters.get("values")
-
-        res = client.add_rows(spreadsheet_token, sheet_id, sheet_name, length, values)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml
deleted file mode 100644
index 6bce305b98..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-identity:
-  name: add_rows
-  author: Doug Lea
-  label:
-    en_US: Add Rows
-    zh_Hans: 新增多行至工作表最后
-description:
-  human:
-    en_US: Add Rows
-    zh_Hans: 新增多行至工作表最后
-  llm: A tool for adding multiple rows to the end of a spreadsheet. (新增多行至工作表最后)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: length
-    type: number
-    required: true
-    label:
-      en_US: length
-      zh_Hans: 要增加行数
-    human_description:
-      en_US: Number of rows to add, range (0-5000].
-      zh_Hans: 要增加行数，范围(0-5000]。
-    llm_description: 要增加行数，范围(0-5000]。
-    form: form
-
-  - name: values
-    type: string
-    required: false
-    label:
-      en_US: values
-      zh_Hans: 新增行的表格内容
-    human_description:
-      en_US: |
-        Content of the new rows, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ].
-      zh_Hans: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    llm_description: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py
deleted file mode 100644
index 74b20ac2c8..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateSpreadsheetTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        title = tool_parameters.get("title")
-        folder_token = tool_parameters.get("folder_token")
-
-        res = client.create_spreadsheet(title, folder_token)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml
deleted file mode 100644
index 931310e631..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-identity:
-  name: create_spreadsheet
-  author: Doug Lea
-  label:
-    en_US: Create Spreadsheet
-    zh_Hans: 创建电子表格
-description:
-  human:
-    en_US: Create Spreadsheet
-    zh_Hans: 创建电子表格
-  llm: A tool for creating spreadsheets. (创建电子表格)
-parameters:
-  - name: title
-    type: string
-    required: false
-    label:
-      en_US: Spreadsheet Title
-      zh_Hans: 电子表格标题
-    human_description:
-      en_US: The title of the spreadsheet
-      zh_Hans: 电子表格的标题
-    llm_description: 电子表格的标题
-    form: llm
-
-  - name: folder_token
-    type: string
-    required: false
-    label:
-      en_US: Folder Token
-      zh_Hans: 文件夹 token
-    human_description:
-      en_US: The token of the folder, supports folder URL input, e.g., https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-      zh_Hans: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-    llm_description: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py
deleted file mode 100644
index 0fe35b6dc6..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetSpreadsheetTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.get_spreadsheet(spreadsheet_token, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml
deleted file mode 100644
index c519938617..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml
+++ /dev/null
@@ -1,49 +0,0 @@
-identity:
-  name: get_spreadsheet
-  author: Doug Lea
-  label:
-    en_US: Get Spreadsheet
-    zh_Hans: 获取电子表格信息
-description:
-  human:
-    en_US: Get Spreadsheet
-    zh_Hans: 获取电子表格信息
-  llm: A tool for getting information from spreadsheets. (获取电子表格信息)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: Spreadsheet Token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 URL。
-    llm_description: 电子表格 token，支持输入电子表格 URL。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py
deleted file mode 100644
index e711c23780..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ListSpreadsheetSheetsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-
-        res = client.list_spreadsheet_sheets(spreadsheet_token)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml
deleted file mode 100644
index c6a7ef45d4..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: list_spreadsheet_sheets
-  author: Doug Lea
-  label:
-    en_US: List Spreadsheet Sheets
-    zh_Hans: 列出电子表格所有工作表
-description:
-  human:
-    en_US: List Spreadsheet Sheets
-    zh_Hans: 列出电子表格所有工作表
-  llm: A tool for listing all sheets in a spreadsheet. (列出电子表格所有工作表)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: Spreadsheet Token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 URL。
-    llm_description: 电子表格 token，支持输入电子表格 URL。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py
deleted file mode 100644
index 1df289c1d7..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ReadColsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        start_col = tool_parameters.get("start_col")
-        num_cols = tool_parameters.get("num_cols")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_cols(spreadsheet_token, sheet_id, sheet_name, start_col, num_cols, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml
deleted file mode 100644
index 34da74592d..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml
+++ /dev/null
@@ -1,97 +0,0 @@
-identity:
-  name: read_cols
-  author: Doug Lea
-  label:
-    en_US: Read Cols
-    zh_Hans: 读取工作表列数据
-description:
-  human:
-    en_US: Read Cols
-    zh_Hans: 读取工作表列数据
-  llm: A tool for reading column data from a spreadsheet. (读取工作表列数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_col
-    type: number
-    required: false
-    label:
-      en_US: start_col
-      zh_Hans: 起始列号
-    human_description:
-      en_US: Starting column number, starting from 1.
-      zh_Hans: 起始列号，从 1 开始。
-    llm_description: 起始列号，从 1 开始。
-    form: form
-
-  - name: num_cols
-    type: number
-    required: true
-    label:
-      en_US: num_cols
-      zh_Hans: 读取列数
-    human_description:
-      en_US: Number of columns to read.
-      zh_Hans: 读取列数
-    llm_description: 读取列数
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py
deleted file mode 100644
index 1cab38a454..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ReadRowsTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        start_row = tool_parameters.get("start_row")
-        num_rows = tool_parameters.get("num_rows")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_rows(spreadsheet_token, sheet_id, sheet_name, start_row, num_rows, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml
deleted file mode 100644
index 5dfa8d5835..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml
+++ /dev/null
@@ -1,97 +0,0 @@
-identity:
-  name: read_rows
-  author: Doug Lea
-  label:
-    en_US: Read Rows
-    zh_Hans: 读取工作表行数据
-description:
-  human:
-    en_US: Read Rows
-    zh_Hans: 读取工作表行数据
-  llm: A tool for reading row data from a spreadsheet. (读取工作表行数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_row
-    type: number
-    required: false
-    label:
-      en_US: start_row
-      zh_Hans: 起始行号
-    human_description:
-      en_US: Starting row number, starting from 1.
-      zh_Hans: 起始行号，从 1 开始。
-    llm_description: 起始行号，从 1 开始。
-    form: form
-
-  - name: num_rows
-    type: number
-    required: true
-    label:
-      en_US: num_rows
-      zh_Hans: 读取行数
-    human_description:
-      en_US: Number of rows to read.
-      zh_Hans: 读取行数
-    llm_description: 读取行数
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py
deleted file mode 100644
index 0f05249004..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class ReadTableTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        spreadsheet_token = tool_parameters.get("spreadsheet_token")
-        sheet_id = tool_parameters.get("sheet_id")
-        sheet_name = tool_parameters.get("sheet_name")
-        num_range = tool_parameters.get("num_range")
-        query = tool_parameters.get("query")
-        user_id_type = tool_parameters.get("user_id_type", "open_id")
-
-        res = client.read_table(spreadsheet_token, sheet_id, sheet_name, num_range, query, user_id_type)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml
deleted file mode 100644
index 10534436d6..0000000000
--- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml
+++ /dev/null
@@ -1,122 +0,0 @@
-identity:
-  name: read_table
-  author: Doug Lea
-  label:
-    en_US: Read Table
-    zh_Hans: 自定义读取电子表格行列数据
-description:
-  human:
-    en_US: Read Table
-    zh_Hans: 自定义读取电子表格行列数据
-  llm: A tool for custom reading of row and column data from a spreadsheet. (自定义读取电子表格行列数据)
-parameters:
-  - name: spreadsheet_token
-    type: string
-    required: true
-    label:
-      en_US: spreadsheet_token
-      zh_Hans: 电子表格 token
-    human_description:
-      en_US: Spreadsheet token, supports input of spreadsheet URL.
-      zh_Hans: 电子表格 token，支持输入电子表格 url。
-    llm_description: 电子表格 token，支持输入电子表格 url。
-    form: llm
-
-  - name: sheet_id
-    type: string
-    required: false
-    label:
-      en_US: sheet_id
-      zh_Hans: 工作表 ID
-    human_description:
-      en_US: Sheet ID, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。
-    llm_description: 工作表 ID，与 sheet_name 二者其一必填。
-    form: llm
-
-  - name: sheet_name
-    type: string
-    required: false
-    label:
-      en_US: sheet_name
-      zh_Hans: 工作表名称
-    human_description:
-      en_US: Sheet name, either sheet_id or sheet_name must be filled.
-      zh_Hans: 工作表名称，与 sheet_id 二者其一必填。
-    llm_description: 工作表名称，与 sheet_id 二者其一必填。
-    form: llm
-
-  - name: user_id_type
-    type: select
-    required: false
-    options:
-      - value: open_id
-        label:
-          en_US: open_id
-          zh_Hans: open_id
-      - value: union_id
-        label:
-          en_US: union_id
-          zh_Hans: union_id
-      - value: user_id
-        label:
-          en_US: user_id
-          zh_Hans: user_id
-    default: "open_id"
-    label:
-      en_US: user_id_type
-      zh_Hans: 用户 ID 类型
-    human_description:
-      en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id.
-      zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。
-    form: form
-
-  - name: start_row
-    type: number
-    required: false
-    label:
-      en_US: start_row
-      zh_Hans: 起始行号
-    human_description:
-      en_US: Starting row number, starting from 1.
-      zh_Hans: 起始行号，从 1 开始。
-    llm_description: 起始行号，从 1 开始。
-    form: form
-
-  - name: num_rows
-    type: number
-    required: false
-    label:
-      en_US: num_rows
-      zh_Hans: 读取行数
-    human_description:
-      en_US: Number of rows to read.
-      zh_Hans: 读取行数
-    llm_description: 读取行数
-    form: form
-
-  - name: range
-    type: string
-    required: false
-    label:
-      en_US: range
-      zh_Hans: 取数范围
-    human_description:
-      en_US: |
-        Data range, format like: A1:B2, can be empty when query=all.
-      zh_Hans: 取数范围,格式如:A1:B2，query=all 时可为空。
-    llm_description: 取数范围,格式如:A1:B2，query=all 时可为空。
-    form: llm
-
-  - name: query
-    type: string
-    required: false
-    label:
-      en_US: query
-      zh_Hans: 查询
-    human_description:
-      en_US: Pass "all" to query all data in the table, but no more than 100 columns.
-      zh_Hans: 传 all，表示查询表格所有数据，但最多查询 100 列数据。
-    llm_description: 传 all，表示查询表格所有数据，但最多查询 100 列数据。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_task/_assets/icon.png b/api/core/tools/provider/builtin/lark_task/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/lark_task/lark_task.py b/api/core/tools/provider/builtin/lark_task/lark_task.py
deleted file mode 100644
index 02cf009f01..0000000000
--- a/api/core/tools/provider/builtin/lark_task/lark_task.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkTaskProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_task/lark_task.yaml b/api/core/tools/provider/builtin/lark_task/lark_task.yaml
deleted file mode 100644
index ada068b0aa..0000000000
--- a/api/core/tools/provider/builtin/lark_task/lark_task.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_task
-  label:
-    en_US: Lark Task
-    zh_Hans: Lark 任务
-  description:
-    en_US: |
-      Lark Task, requires the following permissions: task:task:write、contact:user.id:readonly.
-    zh_Hans: |
-      Lark 任务，需要开通以下权限: task:task:write、contact:user.id:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_task/tools/add_members.py b/api/core/tools/provider/builtin/lark_task/tools/add_members.py
deleted file mode 100644
index 9b8e4d68f3..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/add_members.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class AddMembersTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-        member_phone_or_email = tool_parameters.get("member_phone_or_email")
-        member_role = tool_parameters.get("member_role", "follower")
-
-        res = client.add_members(task_guid, member_phone_or_email, member_role)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml b/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml
deleted file mode 100644
index 0b12172e0b..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
-identity:
-  name: add_members
-  author: Doug Lea
-  label:
-    en_US: Add Lark Members
-    zh_Hans: 添加 Lark 任务成员
-description:
-  human:
-    en_US: Add Lark Members
-    zh_Hans: 添加 Lark 任务成员
-  llm: A tool for adding members to a Lark task.(添加 Lark 任务成员)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The GUID of the task to be added, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-      zh_Hans: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    llm_description: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    form: llm
-
-  - name: member_phone_or_email
-    type: string
-    required: true
-    label:
-      en_US: Task Member Phone Or Email
-      zh_Hans: 任务成员的电话或邮箱
-    human_description:
-      en_US: A list of member emails or phone numbers, separated by commas.
-      zh_Hans: 任务成员邮箱或者手机号列表，使用逗号分隔。
-    llm_description: 任务成员邮箱或者手机号列表，使用逗号分隔。
-    form: llm
-
-  - name: member_role
-    type: select
-    required: true
-    options:
-      - value: assignee
-        label:
-          en_US: assignee
-          zh_Hans: 负责人
-      - value: follower
-        label:
-          en_US: follower
-          zh_Hans: 关注人
-    default: "follower"
-    label:
-      en_US: member_role
-      zh_Hans: 成员的角色
-    human_description:
-      en_US: Member role, optional values are "assignee" (responsible person) and "follower" (observer), with a default value of "assignee".
-      zh_Hans: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。
-    llm_description: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。
-    form: form
diff --git a/api/core/tools/provider/builtin/lark_task/tools/create_task.py b/api/core/tools/provider/builtin/lark_task/tools/create_task.py
deleted file mode 100644
index ff37593fbe..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/create_task.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class CreateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        summary = tool_parameters.get("summary")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        completed_time = tool_parameters.get("completed_time")
-        description = tool_parameters.get("description")
-
-        res = client.create_task(summary, start_time, end_time, completed_time, description)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml
deleted file mode 100644
index 4303763a1d..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-identity:
-  name: create_task
-  author: Doug Lea
-  label:
-    en_US: Create Lark Task
-    zh_Hans: 创建 Lark 任务
-description:
-  human:
-    en_US: Create Lark Task
-    zh_Hans: 创建 Lark 任务
-  llm: A tool for creating tasks in Lark.(创建 Lark 任务)
-parameters:
-  - name: summary
-    type: string
-    required: true
-    label:
-      en_US: Task Title
-      zh_Hans: 任务标题
-    human_description:
-      en_US: The title of the task.
-      zh_Hans: 任务标题
-    llm_description: 任务标题
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Task Description
-      zh_Hans: 任务备注
-    human_description:
-      en_US: The description or notes for the task.
-      zh_Hans: 任务备注
-    llm_description: 任务备注
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 任务开始时间
-    human_description:
-      en_US: |
-        The start time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务开始时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 任务结束时间
-    human_description:
-      en_US: |
-        The end time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务结束时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: completed_time
-    type: string
-    required: false
-    label:
-      en_US: Completed Time
-      zh_Hans: 任务完成时间
-    human_description:
-      en_US: |
-        The completion time of the task, in the format: 2006-01-02 15:04:05. Leave empty to create an incomplete task; fill in a specific time to create a completed task.
-      zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。
-    llm_description: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_task/tools/delete_task.py b/api/core/tools/provider/builtin/lark_task/tools/delete_task.py
deleted file mode 100644
index eca381be2c..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/delete_task.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class UpdateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-
-        res = client.delete_task(task_guid)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml
deleted file mode 100644
index bc0154d9dc..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-identity:
-  name: delete_task
-  author: Doug Lea
-  label:
-    en_US: Delete Lark Task
-    zh_Hans: 删除 Lark 任务
-description:
-  human:
-    en_US: Delete Lark Task
-    zh_Hans: 删除 Lark 任务
-  llm: A tool for deleting tasks in Lark.(删除 Lark 任务)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The GUID of the task to be deleted, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-      zh_Hans: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    llm_description: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_task/tools/update_task.py b/api/core/tools/provider/builtin/lark_task/tools/update_task.py
deleted file mode 100644
index 0d3469c91a..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/update_task.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class UpdateTaskTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        task_guid = tool_parameters.get("task_guid")
-        summary = tool_parameters.get("summary")
-        start_time = tool_parameters.get("start_time")
-        end_time = tool_parameters.get("end_time")
-        completed_time = tool_parameters.get("completed_time")
-        description = tool_parameters.get("description")
-
-        res = client.update_task(task_guid, summary, start_time, end_time, completed_time, description)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml
deleted file mode 100644
index a98f037f21..0000000000
--- a/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml
+++ /dev/null
@@ -1,89 +0,0 @@
-identity:
-  name: update_task
-  author: Doug Lea
-  label:
-    en_US: Update Lark Task
-    zh_Hans: 更新 Lark 任务
-description:
-  human:
-    en_US: Update Lark Task
-    zh_Hans: 更新 Lark 任务
-  llm: A tool for updating tasks in Lark.(更新 Lark 任务)
-parameters:
-  - name: task_guid
-    type: string
-    required: true
-    label:
-      en_US: Task GUID
-      zh_Hans: 任务 GUID
-    human_description:
-      en_US: |
-        The task ID, supports inputting either the Task ID or the Task link URL. Example of Task ID: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-      zh_Hans: |
-        任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    llm_description: |
-      任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805
-    form: llm
-
-  - name: summary
-    type: string
-    required: true
-    label:
-      en_US: Task Title
-      zh_Hans: 任务标题
-    human_description:
-      en_US: The title of the task.
-      zh_Hans: 任务标题
-    llm_description: 任务标题
-    form: llm
-
-  - name: description
-    type: string
-    required: false
-    label:
-      en_US: Task Description
-      zh_Hans: 任务备注
-    human_description:
-      en_US: The description or notes for the task.
-      zh_Hans: 任务备注
-    llm_description: 任务备注
-    form: llm
-
-  - name: start_time
-    type: string
-    required: false
-    label:
-      en_US: Start Time
-      zh_Hans: 任务开始时间
-    human_description:
-      en_US: |
-        The start time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务开始时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: end_time
-    type: string
-    required: false
-    label:
-      en_US: End Time
-      zh_Hans: 任务结束时间
-    human_description:
-      en_US: |
-        The end time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务结束时间，格式为：2006-01-02 15:04:05
-    form: llm
-
-  - name: completed_time
-    type: string
-    required: false
-    label:
-      en_US: Completed Time
-      zh_Hans: 任务完成时间
-    human_description:
-      en_US: |
-        The completion time of the task, in the format: 2006-01-02 15:04:05
-      zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05
-    llm_description: 任务完成时间，格式为：2006-01-02 15:04:05
-    form: llm
diff --git a/api/core/tools/provider/builtin/lark_wiki/_assets/icon.png b/api/core/tools/provider/builtin/lark_wiki/_assets/icon.png
deleted file mode 100644
index 47f6b8c30ea0cf2d4b625bf5890ab94b0b5ca84e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py b/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py
deleted file mode 100644
index e6941206ee..0000000000
--- a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.utils.lark_api_utils import lark_auth
-
-
-class LarkWikiProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        lark_auth(credentials)
diff --git a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml b/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml
deleted file mode 100644
index 86bef00086..0000000000
--- a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  author: Doug Lea
-  name: lark_wiki
-  label:
-    en_US: Lark Wiki
-    zh_Hans: Lark 知识库
-  description:
-    en_US: |
-      Lark Wiki, requires the following permissions: wiki:wiki:readonly.
-    zh_Hans: |
-      Lark 知识库，需要开通以下权限: wiki:wiki:readonly。
-  icon: icon.png
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
-  app_id:
-    type: text-input
-    required: true
-    label:
-      en_US: APP ID
-    placeholder:
-      en_US: Please input your Lark app id
-      zh_Hans: 请输入你的 Lark app id
-    help:
-      en_US: Get your app_id and app_secret from Lark
-      zh_Hans: 从 Lark 获取您的 app_id 和 app_secret
-    url: https://open.larksuite.com/app
-  app_secret:
-    type: secret-input
-    required: true
-    label:
-      en_US: APP Secret
-    placeholder:
-      en_US: Please input your app secret
-      zh_Hans: 请输入你的 Lark app secret
diff --git a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py b/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py
deleted file mode 100644
index a05f300755..0000000000
--- a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.lark_api_utils import LarkRequest
-
-
-class GetWikiNodesTool(BuiltinTool):
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage:
-        app_id = self.runtime.credentials.get("app_id")
-        app_secret = self.runtime.credentials.get("app_secret")
-        client = LarkRequest(app_id, app_secret)
-
-        space_id = tool_parameters.get("space_id")
-        parent_node_token = tool_parameters.get("parent_node_token")
-        page_token = tool_parameters.get("page_token")
-        page_size = tool_parameters.get("page_size")
-
-        res = client.get_wiki_nodes(space_id, parent_node_token, page_token, page_size)
-
-        return self.create_json_message(res)
diff --git a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml b/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml
deleted file mode 100644
index a8c242a2e9..0000000000
--- a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-identity:
-  name: get_wiki_nodes
-  author: Doug Lea
-  label:
-    en_US: Get Wiki Nodes
-    zh_Hans: 获取知识空间子节点列表
-description:
-  human:
-    en_US: |
-      Get the list of child nodes in Wiki, make sure the app/bot is a member of the wiki space. See How to add an app as a wiki base administrator (member). https://open.larksuite.com/document/server-docs/docs/wiki-v2/wiki-qa
-    zh_Hans: |
-      获取知识库全部子节点列表，请确保应用/机器人为知识空间成员。参阅如何将应用添加为知识库管理员（成员）。https://open.larksuite.com/document/server-docs/docs/wiki-v2/wiki-qa
-  llm: A tool for getting all sub-nodes of a knowledge base.(获取知识空间子节点列表)
-parameters:
-  - name: space_id
-    type: string
-    required: true
-    label:
-      en_US: Space Id
-      zh_Hans: 知识空间 ID
-    human_description:
-      en_US: |
-        The ID of the knowledge space. Supports space link URL, for example: https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561
-      zh_Hans: 知识空间 ID，支持空间链接 URL，例如：https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561
-    llm_description: 知识空间 ID，支持空间链接 URL，例如：https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561
-    form: llm
-
-  - name: page_size
-    type: number
-    required: false
-    default: 10
-    label:
-      en_US: Page Size
-      zh_Hans: 分页大小
-    human_description:
-      en_US: The size of each page, with a maximum value of 50.
-      zh_Hans: 分页大小，最大值 50。
-    llm_description: 分页大小，最大值 50。
-    form: form
-
-  - name: page_token
-    type: string
-    required: false
-    label:
-      en_US: Page Token
-      zh_Hans: 分页标记
-    human_description:
-      en_US: The pagination token. Leave empty for the first request to start from the beginning; if the paginated query result has more items, a new page_token will be returned, which can be used to get the next set of results.
-      zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。
-    form: llm
-
-  - name: parent_node_token
-    type: string
-    required: false
-    label:
-      en_US: Parent Node Token
-      zh_Hans: 父节点 token
-    human_description:
-      en_US: The token of the parent node.
-      zh_Hans: 父节点 token
-    llm_description: 父节点 token
-    form: llm
diff --git a/api/core/tools/provider/builtin/maths/_assets/icon.svg b/api/core/tools/provider/builtin/maths/_assets/icon.svg
deleted file mode 100644
index f94d115211..0000000000
--- a/api/core/tools/provider/builtin/maths/_assets/icon.svg
+++ /dev/null
@@ -1,10 +0,0 @@
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diff --git a/api/core/tools/provider/builtin/maths/maths.py b/api/core/tools/provider/builtin/maths/maths.py
deleted file mode 100644
index d4b449ec87..0000000000
--- a/api/core/tools/provider/builtin/maths/maths.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.maths.tools.eval_expression import EvaluateExpressionTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class MathsProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            EvaluateExpressionTool().invoke(
-                user_id="",
-                tool_parameters={
-                    "expression": "1+(2+3)*4",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/maths/maths.yaml b/api/core/tools/provider/builtin/maths/maths.yaml
deleted file mode 100644
index 35c2380e29..0000000000
--- a/api/core/tools/provider/builtin/maths/maths.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: Bowen Liang
-  name: maths
-  label:
-    en_US: Maths
-    zh_Hans: 数学工具
-    pt_BR: Maths
-  description:
-    en_US: A tool for maths.
-    zh_Hans: 一个用于数学计算的工具。
-    pt_BR: A tool for maths.
-  icon: icon.svg
-  tags:
-    - utilities
-    - productivity
diff --git a/api/core/tools/provider/builtin/maths/tools/eval_expression.py b/api/core/tools/provider/builtin/maths/tools/eval_expression.py
deleted file mode 100644
index d3a497d1cd..0000000000
--- a/api/core/tools/provider/builtin/maths/tools/eval_expression.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import logging
-from typing import Any, Union
-
-import numexpr as ne  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class EvaluateExpressionTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get expression
-        expression = tool_parameters.get("expression", "").strip()
-        if not expression:
-            return self.create_text_message("Invalid expression")
-
-        try:
-            result = ne.evaluate(expression)
-            result_str = str(result)
-        except Exception as e:
-            logging.exception(f"Error evaluating expression: {expression}")
-            return self.create_text_message(f"Invalid expression: {expression}, error: {str(e)}")
-        return self.create_text_message(f'The result of the expression "{expression}" is {result_str}')
diff --git a/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml b/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml
deleted file mode 100644
index c936a4293f..0000000000
--- a/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-identity:
-  name: eval_expression
-  author: Bowen Liang
-  label:
-    en_US: Evaluate Math Expression
-    zh_Hans: 计算数学表达式
-    pt_BR: Evaluate Math Expression
-description:
-  human:
-    en_US: A tool for evaluating an math expression, calculated locally with NumExpr.
-    zh_Hans: 一个用于计算数学表达式的工具，表达式将通过NumExpr本地执行。
-    pt_BR: A tool for evaluating an math expression, calculated locally with NumExpr.
-  llm: A tool for evaluating an math expression.
-parameters:
-  - name: expression
-    type: string
-    required: true
-    label:
-      en_US: Math Expression
-      zh_Hans: 数学计算表达式
-      pt_BR: Math Expression
-    human_description:
-      en_US: Math Expression
-      zh_Hans: 数学计算表达式
-      pt_BR: Math Expression
-    form: llm
diff --git a/api/core/tools/provider/builtin/nominatim/_assets/icon.svg b/api/core/tools/provider/builtin/nominatim/_assets/icon.svg
deleted file mode 100644
index db5a4eb868..0000000000
--- a/api/core/tools/provider/builtin/nominatim/_assets/icon.svg
+++ /dev/null
@@ -1,277 +0,0 @@
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diff --git a/api/core/tools/provider/builtin/nominatim/nominatim.py b/api/core/tools/provider/builtin/nominatim/nominatim.py
deleted file mode 100644
index 5a24bed750..0000000000
--- a/api/core/tools/provider/builtin/nominatim/nominatim.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.nominatim.tools.nominatim_search import NominatimSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class NominatimProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            result = (
-                NominatimSearchTool()
-                .fork_tool_runtime(
-                    runtime={
-                        "credentials": credentials,
-                    }
-                )
-                .invoke(
-                    user_id="",
-                    tool_parameters={
-                        "query": "London",
-                        "limit": 1,
-                    },
-                )
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/nominatim/nominatim.yaml b/api/core/tools/provider/builtin/nominatim/nominatim.yaml
deleted file mode 100644
index 7d014bd78c..0000000000
--- a/api/core/tools/provider/builtin/nominatim/nominatim.yaml
+++ /dev/null
@@ -1,43 +0,0 @@
-identity:
-  author: Charles Zhou
-  name: nominatim
-  label:
-    en_US: Nominatim
-    zh_Hans: Nominatim
-    de_DE: Nominatim
-    ja_JP: Nominatim
-  description:
-    en_US: Nominatim is a search engine for OpenStreetMap data
-    zh_Hans: Nominatim是OpenStreetMap数据的搜索引擎
-    de_DE: Nominatim ist eine Suchmaschine für OpenStreetMap-Daten
-    ja_JP: NominatimはOpenStreetMapデータの検索エンジンです
-  icon: icon.svg
-  tags:
-    - search
-    - utilities
-credentials_for_provider:
-  base_url:
-    type: text-input
-    required: false
-    default: https://nominatim.openstreetmap.org
-    label:
-      en_US: Nominatim Base URL
-      zh_Hans: Nominatim 基础 URL
-      de_DE: Nominatim Basis-URL
-      ja_JP: Nominatim ベースURL
-    placeholder:
-      en_US: "Enter your Nominatim instance URL (default:
-        https://nominatim.openstreetmap.org)"
-      zh_Hans: 输入您的Nominatim实例URL（默认：https://nominatim.openstreetmap.org）
-      de_DE: "Geben Sie Ihre Nominatim-Instanz-URL ein (Standard:
-        https://nominatim.openstreetmap.org)"
-      ja_JP: NominatimインスタンスのURLを入力してください（デフォルト：https://nominatim.openstreetmap.org）
-    help:
-      en_US: The base URL for the Nominatim instance. Use the default for the public
-        service or enter your self-hosted instance URL.
-      zh_Hans: Nominatim实例的基础URL。使用默认值可访问公共服务，或输入您的自托管实例URL。
-      de_DE: Die Basis-URL für die Nominatim-Instanz. Verwenden Sie den Standardwert
-        für den öffentlichen Dienst oder geben Sie die URL Ihrer selbst
-        gehosteten Instanz ein.
-      ja_JP: NominatimインスタンスのベースURL。公共サービスにはデフォルトを使用するか、自己ホスティングインスタンスのURLを入力してください。
-    url: https://nominatim.org/
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py
deleted file mode 100644
index ffa8ad0fcc..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NominatimLookupTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        osm_ids = tool_parameters.get("osm_ids", "")
-
-        if not osm_ids:
-            return self.create_text_message("Please provide OSM IDs")
-
-        params = {"osm_ids": osm_ids, "format": "json", "addressdetails": 1}
-
-        return self._make_request(user_id, "lookup", params)
-
-    def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage:
-        base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org")
-
-        try:
-            headers = {"User-Agent": "DifyNominatimTool/1.0"}
-            s = requests.session()
-            response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params)
-            response_data = response.json()
-
-            if response.status_code == 200:
-                s.close()
-                return self.create_text_message(
-                    self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False))
-                )
-            else:
-                return self.create_text_message(f"Error: {response.status_code} - {response.text}")
-        except Exception as e:
-            return self.create_text_message(f"An error occurred: {str(e)}")
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml
deleted file mode 100644
index 508c4dcd88..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  name: nominatim_lookup
-  author: Charles Zhou
-  label:
-    en_US: Nominatim OSM Lookup
-    zh_Hans: Nominatim OSM 对象查找
-    de_DE: Nominatim OSM-Objektsuche
-    ja_JP: Nominatim OSM ルックアップ
-description:
-  human:
-    en_US: Look up OSM objects using their IDs with Nominatim
-    zh_Hans: 使用Nominatim通过ID查找OSM对象
-    de_DE: Suchen Sie OSM-Objekte anhand ihrer IDs mit Nominatim
-    ja_JP: Nominatimを使用してIDでOSMオブジェクトを検索
-  llm: A tool for looking up OpenStreetMap objects using their IDs with Nominatim.
-parameters:
-  - name: osm_ids
-    type: string
-    required: true
-    label:
-      en_US: OSM IDs
-      zh_Hans: OSM ID
-      de_DE: OSM-IDs
-      ja_JP: OSM ID
-    human_description:
-      en_US: Comma-separated list of OSM IDs to lookup (e.g., N123,W456,R789)
-      zh_Hans: 要查找的OSM ID的逗号分隔列表（例如：N123,W456,R789）
-      de_DE: Kommagetrennte Liste von OSM-IDs für die Suche (z.B. N123,W456,R789)
-      ja_JP: 検索するOSM IDのカンマ区切りリスト（例：N123,W456,R789）
-    llm_description: A comma-separated list of OSM IDs (prefixed with N, W, or R) for lookup.
-    form: llm
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py
deleted file mode 100644
index f46691e1a3..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NominatimReverseTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        lat = tool_parameters.get("lat")
-        lon = tool_parameters.get("lon")
-
-        if lat is None or lon is None:
-            return self.create_text_message("Please provide both latitude and longitude")
-
-        params = {"lat": lat, "lon": lon, "format": "json", "addressdetails": 1}
-
-        return self._make_request(user_id, "reverse", params)
-
-    def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage:
-        base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org")
-
-        try:
-            headers = {"User-Agent": "DifyNominatimTool/1.0"}
-            s = requests.session()
-            response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params)
-            response_data = response.json()
-
-            if response.status_code == 200:
-                s.close()
-                return self.create_text_message(
-                    self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False))
-                )
-            else:
-                return self.create_text_message(f"Error: {response.status_code} - {response.text}")
-        except Exception as e:
-            return self.create_text_message(f"An error occurred: {str(e)}")
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml
deleted file mode 100644
index f1a2dd09fb..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-identity:
-  name: nominatim_reverse
-  author: Charles Zhou
-  label:
-    en_US: Nominatim Reverse Geocoding
-    zh_Hans: Nominatim 反向地理编码
-    de_DE: Nominatim Rückwärts-Geocodierung
-    ja_JP: Nominatim リバースジオコーディング
-description:
-  human:
-    en_US: Convert coordinates to addresses using Nominatim
-    zh_Hans: 使用Nominatim将坐标转换为地址
-    de_DE: Konvertieren Sie Koordinaten in Adressen mit Nominatim
-    ja_JP: Nominatimを使用して座標を住所に変換
-  llm: A tool for reverse geocoding using Nominatim, which can convert latitude
-    and longitude coordinates to an address.
-parameters:
-  - name: lat
-    type: number
-    required: true
-    label:
-      en_US: Latitude
-      zh_Hans: 纬度
-      de_DE: Breitengrad
-      ja_JP: 緯度
-    human_description:
-      en_US: Latitude coordinate for reverse geocoding
-      zh_Hans: 用于反向地理编码的纬度坐标
-      de_DE: Breitengrad-Koordinate für die Rückwärts-Geocodierung
-      ja_JP: リバースジオコーディングの緯度座標
-    llm_description: The latitude coordinate for reverse geocoding.
-    form: llm
-  - name: lon
-    type: number
-    required: true
-    label:
-      en_US: Longitude
-      zh_Hans: 经度
-      de_DE: Längengrad
-      ja_JP: 経度
-    human_description:
-      en_US: Longitude coordinate for reverse geocoding
-      zh_Hans: 用于反向地理编码的经度坐标
-      de_DE: Längengrad-Koordinate für die Rückwärts-Geocodierung
-      ja_JP: リバースジオコーディングの経度座標
-    llm_description: The longitude coordinate for reverse geocoding.
-    form: llm
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py
deleted file mode 100644
index 34851d86dc..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NominatimSearchTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        query = tool_parameters.get("query", "")
-        limit = tool_parameters.get("limit", 10)
-
-        if not query:
-            return self.create_text_message("Please input a search query")
-
-        params = {"q": query, "format": "json", "limit": limit, "addressdetails": 1}
-
-        return self._make_request(user_id, "search", params)
-
-    def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage:
-        base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org")
-
-        try:
-            headers = {"User-Agent": "DifyNominatimTool/1.0"}
-            s = requests.session()
-            response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params)
-            response_data = response.json()
-
-            if response.status_code == 200:
-                s.close()
-                return self.create_text_message(
-                    self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False))
-                )
-            else:
-                return self.create_text_message(f"Error: {response.status_code} - {response.text}")
-        except Exception as e:
-            return self.create_text_message(f"An error occurred: {str(e)}")
diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml
deleted file mode 100644
index e0c53c046a..0000000000
--- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-identity:
-  name: nominatim_search
-  author: Charles Zhou
-  label:
-    en_US: Nominatim Search
-    zh_Hans: Nominatim 搜索
-    de_DE: Nominatim Suche
-    ja_JP: Nominatim 検索
-description:
-  human:
-    en_US: Search for locations using Nominatim
-    zh_Hans: 使用Nominatim搜索位置
-    de_DE: Suche nach Orten mit Nominatim
-    ja_JP: Nominatimを使用して場所を検索
-  llm: A tool for geocoding using Nominatim, which can search for locations based
-    on addresses or place names.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Search Query
-      zh_Hans: 搜索查询
-      de_DE: Suchanfrage
-      ja_JP: 検索クエリ
-    human_description:
-      en_US: Enter an address or place name to search for
-      zh_Hans: 输入要搜索的地址或地名
-      de_DE: Geben Sie eine Adresse oder einen Ortsnamen für die Suche ein
-      ja_JP: 検索する住所または場所の名前を入力してください
-    llm_description: The search query for Nominatim, which can be an address or place name.
-    form: llm
-  - name: limit
-    type: number
-    default: 10
-    min: 1
-    max: 40
-    required: false
-    label:
-      en_US: Result Limit
-      zh_Hans: 结果限制
-      de_DE: Ergebnislimit
-      ja_JP: 結果の制限
-    human_description:
-      en_US: "Maximum number of results to return (default: 10, max: 40)"
-      zh_Hans: 要返回的最大结果数（默认：10，最大：40）
-      de_DE: "Maximale Anzahl der zurückzugebenden Ergebnisse (Standard: 10, max: 40)"
-      ja_JP: 返す結果の最大数（デフォルト：10、最大：40）
-    llm_description: Limit the number of returned results. The default is 10, and
-      the maximum is 40.
-    form: form
diff --git a/api/core/tools/provider/builtin/novitaai/_assets/icon.ico b/api/core/tools/provider/builtin/novitaai/_assets/icon.ico
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py b/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py
deleted file mode 100644
index 6473c509e1..0000000000
--- a/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from novita_client import (  # type: ignore
-    Txt2ImgV3Embedding,
-    Txt2ImgV3HiresFix,
-    Txt2ImgV3LoRA,
-    Txt2ImgV3Refiner,
-    V3TaskImage,
-)
-
-
-class NovitaAiToolBase:
-    def _extract_loras(self, loras_str: str):
-        if not loras_str:
-            return []
-
-        loras_ori_list = loras_str.strip().split(";")
-        result_list = []
-        for lora_str in loras_ori_list:
-            lora_info = lora_str.strip().split(",")
-            lora = Txt2ImgV3LoRA(
-                model_name=lora_info[0].strip(),
-                strength=float(lora_info[1]),
-            )
-            result_list.append(lora)
-
-        return result_list
-
-    def _extract_embeddings(self, embeddings_str: str):
-        if not embeddings_str:
-            return []
-
-        embeddings_ori_list = embeddings_str.strip().split(";")
-        result_list = []
-        for embedding_str in embeddings_ori_list:
-            embedding = Txt2ImgV3Embedding(model_name=embedding_str.strip())
-            result_list.append(embedding)
-
-        return result_list
-
-    def _extract_hires_fix(self, hires_fix_str: str):
-        hires_fix_info = hires_fix_str.strip().split(",")
-        if "upscaler" in hires_fix_info:
-            hires_fix = Txt2ImgV3HiresFix(
-                target_width=int(hires_fix_info[0]),
-                target_height=int(hires_fix_info[1]),
-                strength=float(hires_fix_info[2]),
-                upscaler=hires_fix_info[3].strip(),
-            )
-        else:
-            hires_fix = Txt2ImgV3HiresFix(
-                target_width=int(hires_fix_info[0]),
-                target_height=int(hires_fix_info[1]),
-                strength=float(hires_fix_info[2]),
-            )
-
-        return hires_fix
-
-    def _extract_refiner(self, switch_at: str):
-        refiner = Txt2ImgV3Refiner(switch_at=float(switch_at))
-        return refiner
-
-    def _is_hit_nsfw_detection(self, image: V3TaskImage, confidence_threshold: float) -> bool:
-        """
-        is hit nsfw
-        """
-        if image.nsfw_detection_result is None:
-            return False
-        if image.nsfw_detection_result.valid and image.nsfw_detection_result.confidence >= confidence_threshold:
-            return True
-        return False
diff --git a/api/core/tools/provider/builtin/novitaai/novitaai.py b/api/core/tools/provider/builtin/novitaai/novitaai.py
deleted file mode 100644
index d5e32eff29..0000000000
--- a/api/core/tools/provider/builtin/novitaai/novitaai.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.novitaai.tools.novitaai_txt2img import NovitaAiTxt2ImgTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class NovitaAIProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            result = (
-                NovitaAiTxt2ImgTool()
-                .fork_tool_runtime(
-                    runtime={
-                        "credentials": credentials,
-                    }
-                )
-                .invoke(
-                    user_id="",
-                    tool_parameters={
-                        "model_name": "cinenautXLATRUE_cinenautV10_392434.safetensors",
-                        "prompt": "a futuristic city with flying cars",
-                        "negative_prompt": "",
-                        "width": 128,
-                        "height": 128,
-                        "image_num": 1,
-                        "guidance_scale": 7.5,
-                        "seed": -1,
-                        "steps": 1,
-                    },
-                )
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/novitaai/novitaai.yaml b/api/core/tools/provider/builtin/novitaai/novitaai.yaml
deleted file mode 100644
index 3eed8a889c..0000000000
--- a/api/core/tools/provider/builtin/novitaai/novitaai.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  author: Xiao Ley
-  name: novitaai
-  label:
-    en_US: Novita AI
-    zh_Hans: Novita AI
-    pt_BR: Novita AI
-  description:
-    en_US: Innovative AI for Image Generation
-    zh_Hans: 用于图像生成的创新人工智能。
-    pt_BR: Innovative AI for Image Generation
-  icon: icon.ico
-  tags:
-    - image
-    - productivity
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-      zh_Hans: API 密钥
-      pt_BR: Chave API
-    placeholder:
-      en_US: Please enter your Novita AI API key
-      zh_Hans: 请输入你的 Novita AI API 密钥
-      pt_BR: Por favor, insira sua chave de API do Novita AI
-    help:
-      en_US: Get your Novita AI API key from Novita AI
-      zh_Hans: 从 Novita AI 获取您的 Novita AI API 密钥
-      pt_BR: Obtenha sua chave de API do Novita AI na Novita AI
-    url: https://novita.ai
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py
deleted file mode 100644
index 097b234bd5..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from base64 import b64decode
-from copy import deepcopy
-from typing import Any, Union
-
-from novita_client import (  # type: ignore
-    NovitaClient,
-)
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NovitaAiCreateTileTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            raise ToolProviderCredentialValidationError("Novita AI API Key is required.")
-
-        api_key = self.runtime.credentials.get("api_key")
-
-        client = NovitaClient(api_key=api_key)
-        param = self._process_parameters(tool_parameters)
-        client_result = client.create_tile(**param)
-
-        results = []
-        results.append(
-            self.create_blob_message(
-                blob=b64decode(client_result.image_file),
-                meta={"mime_type": f"image/{client_result.image_type}"},
-                save_as=self.VariableKey.IMAGE.value,
-            )
-        )
-
-        return results
-
-    def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]:
-        """
-        process parameters
-        """
-        res_parameters = deepcopy(parameters)
-
-        # delete none and empty
-        keys_to_delete = [k for k, v in res_parameters.items() if v is None or v == ""]
-        for k in keys_to_delete:
-            del res_parameters[k]
-
-        return res_parameters
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml
deleted file mode 100644
index 8e5df50429..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml
+++ /dev/null
@@ -1,80 +0,0 @@
-identity:
-  name: novitaai_createtile
-  author: Xiao Ley
-  label:
-    en_US: Novita AI Create Tile
-    zh_Hans: Novita AI 创建平铺图案
-description:
-  human:
-    en_US: This feature produces images designed for seamless tiling, ideal for creating continuous patterns in fabrics, wallpapers, and various textures.
-    zh_Hans: 该功能生成设计用于无缝平铺的图像，非常适合用于制作连续图案的织物、壁纸和各种纹理。
-  llm: A tool for create images designed for seamless tiling, ideal for creating continuous patterns in fabrics, wallpapers, and various textures.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: prompt
-      zh_Hans: 提示
-    human_description:
-      en_US: Positive prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed.
-      zh_Hans: 生成平铺图案的正向提示，用 `,` 分隔，范围 [1, 512]。仅允许输入英文。
-    llm_description: Image prompt of Novita AI, you should describe the image you want to generate as a list of words as possible as detailed, divided by `,`, Range [1, 512]. Only English input is allowed.
-    form: llm
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: negative prompt
-      zh_Hans: 负向提示
-    human_description:
-      en_US: Negtive prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed.
-      zh_Hans: 生成平铺图案的负向提示，用 `,` 分隔，范围 [1, 512]。仅允许输入英文。
-    llm_description: Image negative prompt of Novita AI, divided by `,`, Range [1, 512]. Only English input is allowed.
-    form: llm
-  - name: width
-    type: number
-    default: 256
-    min: 128
-    max: 1024
-    required: true
-    label:
-      en_US: width
-      zh_Hans: 宽
-    human_description:
-      en_US: Image width, Range [128, 1024].
-      zh_Hans: 图像宽度，范围 [128, 1024]
-    form: form
-  - name: height
-    type: number
-    default: 256
-    min: 128
-    max: 1024
-    required: true
-    label:
-      en_US: height
-      zh_Hans: 高
-    human_description:
-      en_US: Image height, Range [128, 1024].
-      zh_Hans: 图像高度，范围 [128, 1024]
-    form: form
-  - name: response_image_type
-    type: select
-    default: jpeg
-    required: false
-    label:
-      en_US: response image type
-      zh_Hans: 响应图像类型
-    human_description:
-      en_US: Response image type, png or jpeg
-      zh_Hans: 响应图像类型，png 或 jpeg
-    form: form
-    options:
-      - value: jpeg
-        label:
-          en_US: jpeg
-          zh_Hans: jpeg
-      - value: png
-        label:
-          en_US: png
-          zh_Hans: png
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py
deleted file mode 100644
index a200ee8123..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py
+++ /dev/null
@@ -1,148 +0,0 @@
-import json
-from copy import deepcopy
-from typing import Any, Union
-
-from pandas import DataFrame
-from yarl import URL
-
-from core.helper import ssrf_proxy
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NovitaAiModelQueryTool(BuiltinTool):
-    _model_query_endpoint = "https://api.novita.ai/v3/model"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            raise ToolProviderCredentialValidationError("Novita AI API Key is required.")
-
-        api_key = self.runtime.credentials.get("api_key")
-        headers = {"Content-Type": "application/json", "Authorization": "Bearer " + api_key}
-        params = self._process_parameters(tool_parameters)
-        result_type = params.get("result_type")
-        del params["result_type"]
-
-        models_data = self._query_models(
-            models_data=[],
-            headers=headers,
-            params=params,
-            recursive=result_type not in {"first sd_name", "first name sd_name pair"},
-        )
-
-        result_str = ""
-        if result_type == "first sd_name":
-            result_str = models_data[0]["sd_name_in_api"] if len(models_data) > 0 else ""
-        elif result_type == "first name sd_name pair":
-            result_str = (
-                json.dumps({"name": models_data[0]["name"], "sd_name": models_data[0]["sd_name_in_api"]})
-                if len(models_data) > 0
-                else ""
-            )
-        elif result_type == "sd_name array":
-            sd_name_array = [model["sd_name_in_api"] for model in models_data] if len(models_data) > 0 else []
-            result_str = json.dumps(sd_name_array)
-        elif result_type == "name array":
-            name_array = [model["name"] for model in models_data] if len(models_data) > 0 else []
-            result_str = json.dumps(name_array)
-        elif result_type == "name sd_name pair array":
-            name_sd_name_pair_array = (
-                [{"name": model["name"], "sd_name": model["sd_name_in_api"]} for model in models_data]
-                if len(models_data) > 0
-                else []
-            )
-            result_str = json.dumps(name_sd_name_pair_array)
-        elif result_type == "whole info array":
-            result_str = json.dumps(models_data)
-        else:
-            raise NotImplementedError
-
-        return self.create_text_message(result_str)
-
-    def _query_models(
-        self,
-        models_data: list,
-        headers: dict[str, Any],
-        params: dict[str, Any],
-        pagination_cursor: str = "",
-        recursive: bool = True,
-    ) -> list:
-        """
-        query models
-        """
-        inside_params = deepcopy(params)
-
-        if pagination_cursor != "":
-            inside_params["pagination.cursor"] = pagination_cursor
-
-        response = ssrf_proxy.get(
-            url=str(URL(self._model_query_endpoint)), headers=headers, params=params, timeout=(10, 60)
-        )
-
-        res_data = response.json()
-
-        models_data.extend(res_data["models"])
-
-        res_data_len = len(res_data["models"])
-        if res_data_len == 0 or res_data_len < int(params["pagination.limit"]) or recursive is False:
-            # deduplicate
-            df = DataFrame.from_dict(models_data)
-            df_unique = df.drop_duplicates(subset=["id"])
-            models_data = df_unique.to_dict("records")
-            return models_data
-
-        return self._query_models(
-            models_data=models_data,
-            headers=headers,
-            params=inside_params,
-            pagination_cursor=res_data["pagination"]["next_cursor"],
-        )
-
-    def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]:
-        """
-        process parameters
-        """
-        process_parameters = deepcopy(parameters)
-        res_parameters = {}
-
-        # delete none or empty
-        keys_to_delete = [k for k, v in process_parameters.items() if v is None or v == ""]
-        for k in keys_to_delete:
-            del process_parameters[k]
-
-        if "query" in process_parameters and process_parameters.get("query") != "unspecified":
-            res_parameters["filter.query"] = process_parameters["query"]
-
-        if "visibility" in process_parameters and process_parameters.get("visibility") != "unspecified":
-            res_parameters["filter.visibility"] = process_parameters["visibility"]
-
-        if "source" in process_parameters and process_parameters.get("source") != "unspecified":
-            res_parameters["filter.source"] = process_parameters["source"]
-
-        if "type" in process_parameters and process_parameters.get("type") != "unspecified":
-            res_parameters["filter.types"] = process_parameters["type"]
-
-        if "is_sdxl" in process_parameters:
-            if process_parameters["is_sdxl"] == "true":
-                res_parameters["filter.is_sdxl"] = True
-            elif process_parameters["is_sdxl"] == "false":
-                res_parameters["filter.is_sdxl"] = False
-
-        res_parameters["result_type"] = process_parameters.get("result_type", "first sd_name")
-
-        res_parameters["pagination.limit"] = (
-            1
-            if res_parameters.get("result_type") == "first sd_name"
-            or res_parameters.get("result_type") == "first name sd_name pair"
-            else 100
-        )
-
-        return res_parameters
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml
deleted file mode 100644
index a14795e45e..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml
+++ /dev/null
@@ -1,175 +0,0 @@
-identity:
-  name: novitaai_modelquery
-  author: Xiao Ley
-  label:
-    en_US: Novita AI Model Query
-    zh_Hans: Novita AI 模型查询
-description:
-  human:
-    en_US: Retrieve information on both public and private models. It allows users to access details such as model specifications, status, and usage guidelines, ensuring comprehensive insight into the available modeling resources.
-    zh_Hans: 检索公开和私有模型信息。它允许用户访问模型规范、状态和使用指南等详细信息，确保了解可用的建模资源。
-  llm: A tool for retrieve information on both public and private Novita AI models.
-parameters:
-  - name: query
-    type: string
-    required: false
-    label:
-      en_US: query
-      zh_Hans: 查询
-    human_description:
-      en_US: Seaching the content of sd_name, name, tags.
-      zh_Hans: 搜索 sd_name、name、tags 中的内容
-    llm_description: Enter the content to search
-    form: llm
-  - name: result_type
-    type: select
-    default: "first sd_name"
-    required: true
-    label:
-      en_US: result format
-      zh_Hans: 结果格式
-    human_description:
-      en_US: The format of result
-      zh_Hans: 请求结果的格式
-    form: form
-    options:
-      - value: "first sd_name"
-        label:
-          en_US: "first sd_name"
-          zh_Hans: "第一个 sd_name"
-      - value: "first name sd_name pair"
-        label:
-          en_US: "first name and sd_name pair: {name, sd_name}"
-          zh_Hans: "第一个 name sd_name 组合：{name, sd_name}"
-      - value: "sd_name array"
-        label:
-          en_US: "sd_name array: [sd_name]"
-          zh_Hans: "sd_name 数组：[sd_name]"
-      - value: "name array"
-        label:
-          en_US: "name array: [name]"
-          zh_Hans: "name 数组：[name]"
-      - value: "name sd_name pair array"
-        label:
-          en_US: "name and sd_name pair array: [{name, sd_name}]"
-          zh_Hans: "name sd_name 组合数组：[{name, sd_name}]"
-      - value: "whole info array"
-        label:
-          en_US: whole info array
-          zh_Hans: 完整信息数组
-  - name: visibility
-    type: select
-    default: unspecified
-    required: false
-    label:
-      en_US: visibility
-      zh_Hans: 可见性
-    human_description:
-      en_US: Whether the model is public or private
-      zh_Hans: 模型是否公开或私有
-    form: form
-    options:
-      - value: unspecified
-        label:
-          en_US: Unspecified
-          zh_Hans: 未指定
-      - value: public
-        label:
-          en_US: Public
-          zh_Hans: 公开
-      - value: private
-        label:
-          en_US: Private
-          zh_Hans: 私有
-  - name: source
-    type: select
-    default: unspecified
-    required: false
-    label:
-      en_US: source
-      zh_Hans: 来源
-    human_description:
-      en_US: Source of the model
-      zh_Hans: 模型来源
-    form: form
-    options:
-      - value: unspecified
-        label:
-          en_US: Unspecified
-          zh_Hans: 未指定
-      - value: civitai
-        label:
-          en_US: Civitai
-          zh_Hans: Civitai
-      - value: training
-        label:
-          en_US: Training
-          zh_Hans: 训练
-      - value: uploading
-        label:
-          en_US: Uploading
-          zh_Hans: 上传
-  - name: type
-    type: select
-    default: unspecified
-    required: false
-    label:
-      en_US: type
-      zh_Hans: 类型
-    human_description:
-      en_US: Specifies the type of models to include in the query.
-      zh_Hans: 指定要查询的模型类型
-    form: form
-    options:
-      - value: unspecified
-        label:
-          en_US: Unspecified
-          zh_Hans: 未指定
-      - value: checkpoint
-        label:
-          en_US: Checkpoint
-          zh_Hans: Checkpoint
-      - value: lora
-        label:
-          en_US: LoRA
-          zh_Hans: LoRA
-      - value: vae
-        label:
-          en_US: VAE
-          zh_Hans: VAE
-      - value: controlnet
-        label:
-          en_US: ControlNet
-          zh_Hans: ControlNet
-      - value: upscaler
-        label:
-          en_US: Upscaler
-          zh_Hans: Upscaler
-      - value: textualinversion
-        label:
-          en_US: Textual inversion
-          zh_Hans: Textual Inversion
-  - name: is_sdxl
-    type: select
-    default: unspecified
-    required: false
-    label:
-      en_US: is sdxl
-      zh_Hans: 是否是 SDXL
-    human_description:
-      en_US: Whether sdxl model or not. Setting this parameter to `true` includes only sdxl models in the query results, which are typically large-scale, high-performance models designed for extensive data processing tasks. Conversely, setting it to `false` excludes these models from the results. If left unspecified, the filter will not discriminate based on the sdxl classification, including all model types in the search results.
-      zh_Hans: 是否是 SDXL 模型。设置此参数为 `是`，只查询 SDXL 模型，并包含大规模，高性能的模型。相反，设置为 `否`，将排除这些模型。如果未指定，将不会根据 SDXL 分类进行区分，包括查询结果中的所有模型类型。
-    form: form
-    options:
-      - value: unspecified
-        label:
-          en_US: Unspecified
-          zh_Hans: 未指定
-      - value: "true"
-        label:
-          en_US: "True"
-          zh_Hans: 是
-      - value: "false"
-        label:
-          en_US: "False"
-          zh_Hans: 否
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py
deleted file mode 100644
index 297a27abba..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py
+++ /dev/null
@@ -1,90 +0,0 @@
-from base64 import b64decode
-from copy import deepcopy
-from typing import Any, Union
-
-from novita_client import (  # type: ignore
-    NovitaClient,
-)
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.novitaai._novita_tool_base import NovitaAiToolBase
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class NovitaAiTxt2ImgTool(BuiltinTool, NovitaAiToolBase):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            raise ToolProviderCredentialValidationError("Novita AI API Key is required.")
-
-        api_key = self.runtime.credentials.get("api_key")
-
-        client = NovitaClient(api_key=api_key)
-        param = self._process_parameters(tool_parameters)
-        client_result = client.txt2img_v3(**param)
-
-        results = []
-        for image_encoded, image in zip(client_result.images_encoded, client_result.images):
-            if self._is_hit_nsfw_detection(image, 0.8):
-                results = self.create_text_message(text="NSFW detected!")
-                break
-
-            results.append(
-                self.create_blob_message(
-                    blob=b64decode(image_encoded),
-                    meta={"mime_type": f"image/{image.image_type}"},
-                    save_as=self.VariableKey.IMAGE.value,
-                )
-            )
-
-        return results
-
-    def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]:
-        """
-        process parameters
-        """
-        res_parameters = deepcopy(parameters)
-
-        # delete none and empty
-        keys_to_delete = [k for k, v in res_parameters.items() if v is None or v == ""]
-        for k in keys_to_delete:
-            del res_parameters[k]
-
-        if "clip_skip" in res_parameters and res_parameters.get("clip_skip") == 0:
-            del res_parameters["clip_skip"]
-
-        if "refiner_switch_at" in res_parameters and res_parameters.get("refiner_switch_at") == 0:
-            del res_parameters["refiner_switch_at"]
-
-        if "enabled_enterprise_plan" in res_parameters:
-            res_parameters["enterprise_plan"] = {"enabled": res_parameters["enabled_enterprise_plan"]}
-            del res_parameters["enabled_enterprise_plan"]
-
-        if "nsfw_detection_level" in res_parameters:
-            res_parameters["nsfw_detection_level"] = int(res_parameters["nsfw_detection_level"])
-
-        # process loras
-        if "loras" in res_parameters:
-            res_parameters["loras"] = self._extract_loras(res_parameters.get("loras"))
-
-        # process embeddings
-        if "embeddings" in res_parameters:
-            res_parameters["embeddings"] = self._extract_embeddings(res_parameters.get("embeddings"))
-
-        # process hires_fix
-        if "hires_fix" in res_parameters:
-            res_parameters["hires_fix"] = self._extract_hires_fix(res_parameters.get("hires_fix"))
-
-        # process refiner
-        if "refiner_switch_at" in res_parameters:
-            res_parameters["refiner"] = self._extract_refiner(res_parameters.get("refiner_switch_at"))
-            del res_parameters["refiner_switch_at"]
-
-        return res_parameters
diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml
deleted file mode 100644
index d625a643f9..0000000000
--- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml
+++ /dev/null
@@ -1,341 +0,0 @@
-identity:
-  name: novitaai_txt2img
-  author: Xiao Ley
-  label:
-    en_US: Novita AI Text to Image
-    zh_Hans: Novita AI 文字转图像
-description:
-  human:
-    en_US: Generate images from text prompts using Stable Diffusion models
-    zh_Hans: 通过 Stable Diffusion 模型根据文字提示生成图像
-  llm: A tool for generate images from English text prompts.
-parameters:
-  - name: model_name
-    type: string
-    required: true
-    label:
-      en_US: model name
-      zh_Hans: 模块名字
-    human_description:
-      en_US: Specify the name of the model checkpoint. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Checkpoint").
-      zh_Hans: 指定 Model Checkpoint 名称。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“Checkpoint”）。
-    form: form
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: prompt
-      zh_Hans: 提示
-    human_description:
-      en_US: Text input required to guide the image generation, divided by `,`, Range [1, 1024]. Only English input is allowed.
-      zh_Hans: 生成图像的正向提示，用 `,` 分隔，范围 [1, 1024]。仅允许输入英文。
-    llm_description: Image prompt of Novita AI, you should describe the image you want to generate as a list of words as possible as detailed, divided by `,`, Range [1, 1024]. Only English input is allowed.
-    form: llm
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: negative prompt
-      zh_Hans: 负向提示
-    human_description:
-      en_US: Text input that will not guide the image generation, divided by `,`, Range [1, 1024]. Only English input is allowed.
-      zh_Hans: 生成图像的负向提示，用 `,` 分隔，范围 [1, 1024]。仅允许输入英文。
-    llm_description: Image negative prompt of Novita AI, divided by `,`, Range [1, 1024]. Only English input is allowed.
-    form: llm
-  - name: width
-    type: number
-    default: 512
-    min: 128
-    max: 2048
-    required: true
-    label:
-      en_US: width
-      zh_Hans: 宽
-    human_description:
-      en_US: Image width, Range [128, 2048].
-      zh_Hans: 图像宽度，范围 [128, 2048]
-    form: form
-  - name: height
-    type: number
-    default: 512
-    min: 128
-    max: 2048
-    required: true
-    label:
-      en_US: height
-      zh_Hans: 高
-    human_description:
-      en_US: Image height, Range [128, 2048].
-      zh_Hans: 图像高度，范围 [128, 2048]
-    form: form
-  - name: image_num
-    type: number
-    default: 1
-    min: 1
-    max: 8
-    required: true
-    label:
-      en_US: image num
-      zh_Hans: 图片数
-    human_description:
-      en_US: Image num, Range [1, 8].
-      zh_Hans: 图片数，范围 [1, 8]
-    form: form
-  - name: steps
-    type: number
-    default: 20
-    min: 1
-    max: 100
-    required: true
-    label:
-      en_US: steps
-      zh_Hans: 步数
-    human_description:
-      en_US: The number of denoising steps. More steps usually can produce higher quality images, but take more time to generate, Range [1, 100].
-      zh_Hans: 生成步数。更多步数可能会产生更好的图像，但生成时间更长，范围 [1, 100]
-    form: form
-  - name: seed
-    type: number
-    default: -1
-    required: true
-    label:
-      en_US: seed
-      zh_Hans: 种子
-    human_description:
-      en_US: A seed is a number from which Stable Diffusion generates noise, which, makes generation deterministic. Using the same seed and set of parameters will produce identical image each time, minimum -1.
-      zh_Hans: 种子是 Stable Diffusion 生成噪声的数字，它使生成具有确定性。使用相同的种子和参数设置将生成每次生成相同的图像，最小值 -1。
-    form: form
-  - name: clip_skip
-    type: number
-    min: 1
-    max: 12
-    required: false
-    label:
-      en_US: clip skip
-      zh_Hans: 层跳过数
-    human_description:
-      en_US: This parameter indicates the number of layers to stop from the bottom during optimization, so clip_skip on 2 would mean, that in SD1.x model where the CLIP has 12 layers, you would stop at 10th layer, Range [1, 12], get reference at https://novita.ai/get-started/Misc.html#what-s-clip-skip.
-      zh_Hans: 此参数表示优化过程中从底部停止的层数，因此 clip_skip 的值为 2，表示在 SD1.x 模型中，CLIP 有 12 层，你将停止在 10 层，范围 [1, 12]，参考 https://novita.ai/get-started/Misc.html#what-s-clip-skip。
-    form: form
-  - name: guidance_scale
-    type: number
-    default: "7.5"
-    min: 1.0
-    max: 30.0
-    required: true
-    label:
-      en_US: guidance scale
-      zh_Hans: 提示词遵守程度
-    human_description:
-      en_US: This setting says how close the Stable Diffusion will listen to your prompt, higer guidance forces the model to better follow the prompt, but result in lower quality output.Range [1, 30].
-      zh_Hans: 此设置表明 Stable Diffusion 如何听从您的提示，较高的 guidance_scale 会强制模型更好跟随提示，但结果会更低质量输出。范围 [1.0, 30.0]。
-    form: form
-  - name: sampler_name
-    type: select
-    required: true
-    label:
-      en_US: sampler name
-      zh_Hans: 采样器名称
-    human_description:
-      en_US: This parameter determines the denoising algorithm employed during the sampling phase of Stable Diffusion. Get reference at https://novita.ai/get-started/Misc.htmll#what-is-samplers.
-      zh_Hans: 此参数决定了在稳定扩散采样阶段使用的去噪算法。参考 https://novita.ai/get-started/Misc.htmll#what-is-samplers。
-    form: form
-    options:
-      - value: "Euler a"
-        label:
-          en_US: Euler a
-          zh_Hans: Euler a
-      - value: "Euler"
-        label:
-          en_US: Euler
-          zh_Hans: Euler
-      - value: "LMS"
-        label:
-          en_US: LMS
-          zh_Hans: LMS
-      - value: "Heun"
-        label:
-          en_US: Heun
-          zh_Hans: Heun
-      - value: "DPM2"
-        label:
-          en_US: DPM2
-          zh_Hans: DPM2
-      - value: "DPM2 a"
-        label:
-          en_US: DPM2 a
-          zh_Hans: DPM2 a
-      - value: "DPM++ 2S a"
-        label:
-          en_US: DPM++ 2S a
-          zh_Hans: DPM++ 2S a
-      - value: "DPM++ 2M"
-        label:
-          en_US: DPM++ 2M
-          zh_Hans: DPM++ 2M
-      - value: "DPM++ SDE"
-        label:
-          en_US: DPM++ SDE
-          zh_Hans: DPM++ SDE
-      - value: "DPM fast"
-        label:
-          en_US: DPM fast
-          zh_Hans: DPM fast
-      - value: "DPM adaptive"
-        label:
-          en_US: DPM adaptive
-          zh_Hans: DPM adaptive
-      - value: "LMS Karras"
-        label:
-          en_US: LMS Karras
-          zh_Hans: LMS Karras
-      - value: "DPM2 Karras"
-        label:
-          en_US: DPM2 Karras
-          zh_Hans: DPM2 Karras
-      - value: "DPM2 a Karras"
-        label:
-          en_US: DPM2 a Karras
-          zh_Hans: DPM2 a Karras
-      - value: "DPM++ 2S a Karras"
-        label:
-          en_US: DPM++ 2S a Karras
-          zh_Hans: DPM++ 2S a Karras
-      - value: "DPM++ 2M Karras"
-        label:
-          en_US: DPM++ 2M Karras
-          zh_Hans: DPM++ 2M Karras
-      - value: "DPM++ SDE Karras"
-        label:
-          en_US: DPM++ SDE Karras
-          zh_Hans: DPM++ SDE Karras
-      - value: "DDIM"
-        label:
-          en_US: DDIM
-          zh_Hans: DDIM
-      - value: "PLMS"
-        label:
-          en_US: PLMS
-          zh_Hans: PLMS
-      - value: "UniPC"
-        label:
-          en_US: UniPC
-          zh_Hans: UniPC
-  - name: sd_vae
-    type: string
-    required: false
-    label:
-      en_US: sd vae
-      zh_Hans: sd vae
-    human_description:
-      en_US: VAE(Variational Autoencoder), get reference at https://novita.ai/get-started/Misc.html#what-s-variational-autoencoders-vae. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "VAE").
-      zh_Hans: VAE（变分自编码器），参考 https://novita.ai/get-started/Misc.html#what-s-variational-autoencoders-vae。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“VAE”）。
-    form: form
-  - name: loras
-    type: string
-    required: false
-    label:
-      en_US: loRAs
-      zh_Hans: loRAs
-    human_description:
-      en_US: LoRA models. Currenlty supports up to 5 LoRAs. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "LoRA"). Input template is "<sd_name>,<strength [0-1.0]>;<sd_name>,<strength [0-1.0]>;...". Such as"Film Grain style_331903,0.5;DoggystylePOV_9600,0.5"
-      zh_Hans: LoRA 模型。目前仅支持 5 个 LoRA。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“LoRA”）。输入模板：“<sd_name>,<strength [0-1.0]>;<sd_name>,<strength [0-1.0]>;...”，例如：“Film Grain style_331903,0.5;DoggystylePOV_9600,0.5”
-    form: form
-  - name: embeddings
-    type: string
-    required: false
-    label:
-      en_US: text embeddings
-      zh_Hans: 文本嵌入
-    human_description:
-      en_US: Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images, currenlty supports up to 5 embeddings. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Text Inversion"). Input template is "<sd_name>;<sd_name>;...". Such as "EasyNegativeV2_75525;AS-YoungerV2"
-      zh_Hans: 文本反转是一种通过从一些示例图像中学习新的文本嵌入来个性化模型的训练方法，目前仅支持 5 个嵌入。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“Text Inversion”）。输入模板：“<sd_name>;<sd_name>;...”，例如：“EasyNegativeV2_75525;AS-YoungerV2”
-    form: form
-  - name: hires_fix
-    type: string
-    required: false
-    label:
-      en_US: hires fix
-      zh_Hans: 高分辨率修复
-    human_description:
-      en_US: Use high resolution image fix. Input template is "<target_width [128, 4096]>,<target_height [128, 4096]>,<strength [0, 1.0]>,<upscaler (optional, selec type, `RealESRGAN_x4plus_anime_6B`, `RealESRNet_x4plus` or `Latent`)>". Such as "1024,1024,0.8", "1024,1024,0.8,RealESRGAN_x4plus_anime_6B"
-      zh_Hans: 使用高分辨率修复。输入模板 “<target_width [128, 4096]>,<target_height [128, 4096]>,<strength [0, 1.0]>,<upscaler (可选, 选项类型, `RealESRGAN_x4plus_anime_6B`, `RealESRNet_x4plus` 或 `Latent`)>”。例如 “1024,1024,0.8”、“1024,1024,0.8,RealESRGAN_x4plus_anime_6B”
-    form: form
-  - name: refiner_switch_at
-    type: number
-    min: 0.0
-    max: 1.0
-    required: false
-    label:
-      en_US: refiner switch at
-      zh_Hans: 重采样参与时刻
-    human_description:
-      en_US: This parameter in the context of a refiner allows you to set the extent to which the refiner alters the output of a model. When set to 0, the refiner has no effect; at 1, it's fully active. Intermediate values like 0.5 provide a balanced effect, where the refiner is moderately engaged, enhancing or adjusting the output without dominating the original model's characteristics. This setting is particularly useful for fine-tuning the output to achieve a desired balance between refinement and the original generative features, Range [0, 1.0]. Is not all models support refiners!
-      zh_Hans: 此参数允许您设置重采样更改模型输出的程度。当设置为0时，重采样不起作用；1时，它处于完全活动状态。像0.5这样的中间值提供了一种平衡效果，其中重采样适度参与，增强或调整输出，而不会主导原始模型的特性。此设置对于微调输出特别有用，范围 [0, 1.0]。不是所有模型都支持重采样！
-    form: form
-  - name: response_image_type
-    type: select
-    default: jpeg
-    required: false
-    label:
-      en_US: response image type
-      zh_Hans: 响应图像类型
-    human_description:
-      en_US: Response image type, png or jpeg
-      zh_Hans: 响应图像类型，png 或 jpeg
-    form: form
-    options:
-      - value: jpeg
-        label:
-          en_US: jpeg
-          zh_Hans: jpeg
-      - value: png
-        label:
-          en_US: png
-          zh_Hans: png
-  - name: enabled_enterprise_plan
-    type: boolean
-    default: false
-    required: false
-    label:
-      en_US: enterprise plan enabled
-      zh_Hans: 企业版计划启用
-    human_description:
-      en_US: Enable enterprise plan
-      zh_Hans: 启用企业版计划
-    form: form
-  - name: enable_nsfw_detection
-    type: boolean
-    default: false
-    required: false
-    label:
-      en_US: enable nsfw detection
-      zh_Hans: 启用 NSFW 检测
-    human_description:
-      en_US: Enable nsfw detection
-      zh_Hans: 启用 NSFW 检测
-    form: form
-  - name: nsfw_detection_level
-    type: select
-    default: "2"
-    required: false
-    label:
-      en_US: nsfw detection level
-      zh_Hans: NSFW 检测级别
-    human_description:
-      en_US: Nsfw detection level, from low to high
-      zh_Hans: NSFW 检测级别，越高越严格
-    form: form
-    options:
-      - value: "0"
-        label:
-          en_US: low
-          zh_Hans: 低
-      - value: "1"
-        label:
-          en_US: middle
-          zh_Hans: 中
-      - value: "2"
-        label:
-          en_US: high
-          zh_Hans: 高
diff --git a/api/core/tools/provider/builtin/onebot/_assets/icon.ico b/api/core/tools/provider/builtin/onebot/_assets/icon.ico
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diff --git a/api/core/tools/provider/builtin/onebot/onebot.py b/api/core/tools/provider/builtin/onebot/onebot.py
deleted file mode 100644
index b8e5ed24d6..0000000000
--- a/api/core/tools/provider/builtin/onebot/onebot.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class OneBotProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        if not credentials.get("ob11_http_url"):
-            raise ToolProviderCredentialValidationError("OneBot HTTP URL is required.")
diff --git a/api/core/tools/provider/builtin/onebot/onebot.yaml b/api/core/tools/provider/builtin/onebot/onebot.yaml
deleted file mode 100644
index 1922adc4de..0000000000
--- a/api/core/tools/provider/builtin/onebot/onebot.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-identity:
-  author: RockChinQ
-  name: onebot
-  label:
-    en_US: OneBot v11 Protocol
-    zh_Hans: OneBot v11 协议
-  description:
-    en_US: Unofficial OneBot v11 Protocol Tool
-    zh_Hans: 非官方 OneBot v11 协议工具
-  icon: icon.ico
-credentials_for_provider:
-  ob11_http_url:
-    type: text-input
-    required: true
-    label:
-      en_US: HTTP URL
-      zh_Hans: HTTP URL
-    description:
-      en_US: Forward HTTP URL of OneBot v11
-      zh_Hans: OneBot v11 正向 HTTP URL
-    help:
-      en_US: Fill this with the HTTP URL of your OneBot server
-      zh_Hans: 请在你的 OneBot 协议端开启 正向 HTTP 并填写其 URL
-  access_token:
-    type: secret-input
-    required: false
-    label:
-      en_US: Access Token
-      zh_Hans: 访问令牌
-    description:
-      en_US: Access Token for OneBot v11 Protocol
-      zh_Hans: OneBot 协议访问令牌
-    help:
-      en_US: Fill this if you set a access token in your OneBot server
-      zh_Hans: 如果你在 OneBot 服务器中设置了 access token，请填写此项
diff --git a/api/core/tools/provider/builtin/onebot/tools/__init__.py b/api/core/tools/provider/builtin/onebot/tools/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py
deleted file mode 100644
index 9c95bbc2ae..0000000000
--- a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any, Union
-
-import requests
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SendGroupMsg(BuiltinTool):
-    """OneBot v11 Tool: Send Group Message"""
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        # Get parameters
-        send_group_id = tool_parameters.get("group_id", "")
-
-        message = tool_parameters.get("message", "")
-        if not message:
-            return self.create_json_message({"error": "Message is empty."})
-
-        auto_escape = tool_parameters.get("auto_escape", False)
-
-        try:
-            url = URL(self.runtime.credentials["ob11_http_url"]) / "send_group_msg"
-
-            resp = requests.post(
-                url,
-                json={"group_id": send_group_id, "message": message, "auto_escape": auto_escape},
-                headers={"Authorization": "Bearer " + self.runtime.credentials["access_token"]},
-            )
-
-            if resp.status_code != 200:
-                return self.create_json_message({"error": f"Failed to send group message: {resp.text}"})
-
-            return self.create_json_message({"response": resp.json()})
-        except Exception as e:
-            return self.create_json_message({"error": f"Failed to send group message: {e}"})
diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml
deleted file mode 100644
index 64beaa8545..0000000000
--- a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  name: send_group_msg
-  author: RockChinQ
-  label:
-    en_US: Send Group Message
-    zh_Hans: 发送群消息
-description:
-  human:
-    en_US: Send a message to a group
-    zh_Hans: 发送消息到群聊
-  llm: A tool for sending a message segment to a group
-parameters:
-  - name: group_id
-    type: number
-    required: true
-    label:
-      en_US: Target Group ID
-      zh_Hans: 目标群 ID
-    human_description:
-      en_US: The group ID of the target group
-      zh_Hans: 目标群的群 ID
-    llm_description: The group ID of the target group
-    form: llm
-  - name: message
-    type: string
-    required: true
-    label:
-      en_US: Message
-      zh_Hans: 消息
-    human_description:
-      en_US: The message to send
-      zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true）
-    llm_description: The message to send
-    form: llm
-  - name: auto_escape
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Auto Escape
-      zh_Hans: 自动转义
-    human_description:
-      en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes.
-      zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。
-    llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending.
-    form: form
diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py
deleted file mode 100644
index 1174c7f07d..0000000000
--- a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any, Union
-
-import requests
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SendPrivateMsg(BuiltinTool):
-    """OneBot v11 Tool: Send Private Message"""
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        # Get parameters
-        send_user_id = tool_parameters.get("user_id", "")
-
-        message = tool_parameters.get("message", "")
-        if not message:
-            return self.create_json_message({"error": "Message is empty."})
-
-        auto_escape = tool_parameters.get("auto_escape", False)
-
-        try:
-            url = URL(self.runtime.credentials["ob11_http_url"]) / "send_private_msg"
-
-            resp = requests.post(
-                url,
-                json={"user_id": send_user_id, "message": message, "auto_escape": auto_escape},
-                headers={"Authorization": "Bearer " + self.runtime.credentials["access_token"]},
-            )
-
-            if resp.status_code != 200:
-                return self.create_json_message({"error": f"Failed to send private message: {resp.text}"})
-
-            return self.create_json_message({"response": resp.json()})
-        except Exception as e:
-            return self.create_json_message({"error": f"Failed to send private message: {e}"})
diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml
deleted file mode 100644
index 8200ce4a83..0000000000
--- a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  name: send_private_msg
-  author: RockChinQ
-  label:
-    en_US: Send Private Message
-    zh_Hans: 发送私聊消息
-description:
-  human:
-    en_US: Send a private message to a user
-    zh_Hans: 发送私聊消息给用户
-  llm: A tool for sending a message segment to a user in private chat
-parameters:
-  - name: user_id
-    type: number
-    required: true
-    label:
-      en_US: Target User ID
-      zh_Hans: 目标用户 ID
-    human_description:
-      en_US: The user ID of the target user
-      zh_Hans: 目标用户的用户 ID
-    llm_description: The user ID of the target user
-    form: llm
-  - name: message
-    type: string
-    required: true
-    label:
-      en_US: Message
-      zh_Hans: 消息
-    human_description:
-      en_US: The message to send
-      zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true）
-    llm_description: The message to send
-    form: llm
-  - name: auto_escape
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Auto Escape
-      zh_Hans: 自动转义
-    human_description:
-      en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes.
-      zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。
-    llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending.
-    form: form
diff --git a/api/core/tools/provider/builtin/openweather/_assets/icon.svg b/api/core/tools/provider/builtin/openweather/_assets/icon.svg
deleted file mode 100644
index f06cd87e64..0000000000
--- a/api/core/tools/provider/builtin/openweather/_assets/icon.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none">
-  <g clip-path="url(#clip0_16624_62807)">
-    <path d="M7.11111 0.888889C7.11111 0.888889 7.11111 0 8 0C8.88889 0 8.88889 0.888889 8.88889 0.888889V1.77778C8.88889 1.77778 8.88889 2.66667 8 2.66667C7.11111 2.66667 7.11111 1.77778 7.11111 1.77778V0.888889ZM15.1111 7.11111C15.1111 7.11111 16 7.11111 16 8C16 8.88889 15.1111 8.88889 15.1111 8.88889H14.2222C14.2222 8.88889 13.3333 8.88889 13.3333 8C13.3333 7.11111 14.2222 7.11111 14.2222 7.11111H15.1111ZM1.77778 7.11111C1.77778 7.11111 2.66667 7.11111 2.66667 8C2.66667 8.88889 1.77778 8.88889 1.77778 8.88889H0.888889C0.888889 8.88889 0 8.88889 0 8C0 7.11111 0.888889 7.11111 0.888889 7.11111H1.77778ZM4.05378 3.24133C4.05378 3.24133 4.68222 3.86978 4.05378 4.49822C3.42533 5.12667 2.79689 4.49822 2.79689 4.49822L2.168 3.87022C2.168 3.87022 1.53956 3.24178 2.168 2.61289C2.79689 1.98444 3.42533 2.61289 3.42533 2.61289L4.05378 3.24133ZM13.2036 4.49822C13.2036 4.49822 12.5751 5.12667 11.9467 4.49822C11.3182 3.86978 11.9467 3.24133 11.9467 3.24133L12.5751 2.61289C12.5751 2.61289 13.2036 1.98444 13.832 2.61289C14.4604 3.24133 13.832 3.86978 13.832 3.86978L13.2036 4.49822ZM3.87022 13.8316C3.87022 13.8316 3.24178 14.46 2.61333 13.8316C1.98489 13.2031 2.61333 12.5747 2.61333 12.5747L3.24178 11.9462C3.24178 11.9462 3.87022 11.3178 4.49867 11.9462C5.12711 12.5747 4.49867 13.2031 4.49867 13.2031L3.87022 13.8316Z" fill="#FFCF27"/>
-    <path d="M8.00011 12.4446C10.4547 12.4446 12.4446 10.4547 12.4446 8.00011C12.4446 5.54551 10.4547 3.55566 8.00011 3.55566C5.54551 3.55566 3.55566 5.54551 3.55566 8.00011C3.55566 10.4547 5.54551 12.4446 8.00011 12.4446Z" fill="#FFCB13"/>
-    <path d="M13.2343 10.3111C12.949 10.3111 12.6743 10.3556 12.4152 10.4378C12.1094 9.53647 11.2774 8.88892 10.2966 8.88892C9.24411 8.88892 8.36322 9.63469 8.11922 10.6387C7.85878 10.436 7.53744 10.3116 7.18544 10.3116C6.32633 10.3116 5.62989 11.0276 5.62989 11.9116C5.62989 12.1262 5.67255 12.3298 5.74722 12.5174C5.59878 12.4742 5.44544 12.4445 5.28411 12.4445C4.32944 12.4445 3.55566 13.2405 3.55566 14.2222C3.55566 15.204 4.32944 16 5.28411 16H13.2348C14.7619 16 16.0001 14.7271 16.0001 13.1556C16.0001 11.5845 14.7619 10.3111 13.2343 10.3111Z" fill="#E9F6FF"/>
-  </g>
-  <defs>
-    <clipPath id="clip0_16624_62807">
-      <rect width="16" height="16" fill="white"/>
-    </clipPath>
-  </defs>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/openweather/openweather.py b/api/core/tools/provider/builtin/openweather/openweather.py
deleted file mode 100644
index 9e40249aba..0000000000
--- a/api/core/tools/provider/builtin/openweather/openweather.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-def query_weather(city="Beijing", units="metric", language="zh_cn", api_key=None):
-    url = "https://api.openweathermap.org/data/2.5/weather"
-    params = {"q": city, "appid": api_key, "units": units, "lang": language}
-
-    return requests.get(url, params=params)
-
-
-class OpenweatherProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            if "api_key" not in credentials or not credentials.get("api_key"):
-                raise ToolProviderCredentialValidationError("Open weather API key is required.")
-            apikey = credentials.get("api_key")
-            try:
-                response = query_weather(api_key=apikey)
-                if response.status_code == 200:
-                    pass
-                else:
-                    raise ToolProviderCredentialValidationError((response.json()).get("info"))
-            except Exception as e:
-                raise ToolProviderCredentialValidationError("Open weather API Key is invalid. {}".format(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/openweather/openweather.yaml b/api/core/tools/provider/builtin/openweather/openweather.yaml
deleted file mode 100644
index d4b66f87f9..0000000000
--- a/api/core/tools/provider/builtin/openweather/openweather.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: Onelevenvy
-  name: openweather
-  label:
-    en_US: Open weather query
-    zh_Hans: Open Weather
-    pt_BR: Consulta de clima open weather
-  description:
-    en_US: Weather query toolkit based on Open Weather
-    zh_Hans: 基于open weather的天气查询工具包
-    pt_BR: Kit de consulta de clima baseado no Open Weather
-  icon: icon.svg
-  tags:
-    - weather
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-      zh_Hans: API Key
-      pt_BR: Fogo a chave
-    placeholder:
-      en_US: Please enter your open weather API Key
-      zh_Hans: 请输入你的open weather API Key
-      pt_BR: Insira sua chave de API open weather
-    help:
-      en_US: Get your API Key from open weather
-      zh_Hans: 从open weather获取您的 API Key
-      pt_BR: Obtenha sua chave de API do open weather
-    url: https://openweathermap.org
diff --git a/api/core/tools/provider/builtin/openweather/tools/weather.py b/api/core/tools/provider/builtin/openweather/tools/weather.py
deleted file mode 100644
index ed4ec487fa..0000000000
--- a/api/core/tools/provider/builtin/openweather/tools/weather.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class OpenweatherTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        city = tool_parameters.get("city", "")
-        if not city:
-            return self.create_text_message("Please tell me your city")
-        if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"):
-            return self.create_text_message("OpenWeather API key is required.")
-
-        units = tool_parameters.get("units", "metric")
-        lang = tool_parameters.get("lang", "zh_cn")
-        try:
-            # request URL
-            url = "https://api.openweathermap.org/data/2.5/weather"
-
-            # request params
-            params = {
-                "q": city,
-                "appid": self.runtime.credentials.get("api_key"),
-                "units": units,
-                "lang": lang,
-            }
-            response = requests.get(url, params=params)
-
-            if response.status_code == 200:
-                data = response.json()
-                return self.create_text_message(
-                    self.summary(user_id=user_id, content=json.dumps(data, ensure_ascii=False))
-                )
-            else:
-                error_message = {
-                    "error": f"failed:{response.status_code}",
-                    "data": response.text,
-                }
-                # return error
-                return json.dumps(error_message)
-
-        except Exception as e:
-            return self.create_text_message("Openweather API Key is invalid. {}".format(e))
diff --git a/api/core/tools/provider/builtin/openweather/tools/weather.yaml b/api/core/tools/provider/builtin/openweather/tools/weather.yaml
deleted file mode 100644
index f2dae5c2df..0000000000
--- a/api/core/tools/provider/builtin/openweather/tools/weather.yaml
+++ /dev/null
@@ -1,80 +0,0 @@
-identity:
-  name: weather
-  author: Onelevenvy
-  label:
-    en_US: Open Weather Query
-    zh_Hans: 天气查询
-    pt_BR: Previsão do tempo
-  icon: icon.svg
-description:
-  human:
-    en_US: Weather forecast inquiry
-    zh_Hans: 天气查询
-    pt_BR: Inquérito sobre previsão meteorológica
-  llm: A tool when you want to ask about the weather or weather-related question
-parameters:
-  - name: city
-    type: string
-    required: true
-    label:
-      en_US: city
-      zh_Hans: 城市
-      pt_BR: cidade
-    human_description:
-      en_US: Target city for weather forecast query
-      zh_Hans: 天气预报查询的目标城市
-      pt_BR: Cidade de destino para consulta de previsão do tempo
-    llm_description: If you don't know you can extract the city name from the
-      question or you can reply：Please tell me your city. You have to extract
-      the Chinese city name from the question.If the input region is in Chinese
-      characters for China, it should be replaced with the corresponding English
-      name, such as '北京' for correct input is 'Beijing'
-    form: llm
-  - name: lang
-    type: select
-    required: true
-    human_description:
-      en_US: language
-      zh_Hans: 语言
-      pt_BR: language
-    label:
-      en_US: language
-      zh_Hans: 语言
-      pt_BR: language
-    form: form
-    options:
-      - value: zh_cn
-        label:
-          en_US: cn
-          zh_Hans: 中国
-          pt_BR: cn
-      - value: en_us
-        label:
-          en_US: usa
-          zh_Hans: 美国
-          pt_BR: usa
-    default: zh_cn
-  - name: units
-    type: select
-    required: true
-    human_description:
-      en_US: units for temperature
-      zh_Hans: 温度单位
-      pt_BR: units for temperature
-    label:
-      en_US: units
-      zh_Hans: 单位
-      pt_BR: units
-    form: form
-    options:
-      - value: metric
-        label:
-          en_US: metric
-          zh_Hans: ℃
-          pt_BR: metric
-      - value: imperial
-        label:
-          en_US: imperial
-          zh_Hans: ℉
-          pt_BR: imperial
-    default: metric
diff --git a/api/core/tools/provider/builtin/perplexity/_assets/icon.svg b/api/core/tools/provider/builtin/perplexity/_assets/icon.svg
deleted file mode 100644
index c2974c142f..0000000000
--- a/api/core/tools/provider/builtin/perplexity/_assets/icon.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg width="400" height="400" viewBox="0 0 400 400" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path fill-rule="evenodd" clip-rule="evenodd" d="M101.008 42L190.99 124.905L190.99 124.886L190.99 42.1913H208.506L208.506 125.276L298.891 42V136.524L336 136.524V272.866H299.005V357.035L208.506 277.525L208.506 357.948H190.99L190.99 278.836L101.11 358V272.866H64V136.524H101.008V42ZM177.785 153.826H81.5159V255.564H101.088V223.472L177.785 153.826ZM118.625 231.149V319.392L190.99 255.655L190.99 165.421L118.625 231.149ZM209.01 254.812V165.336L281.396 231.068V272.866H281.489V318.491L209.01 254.812ZM299.005 255.564H318.484V153.826L222.932 153.826L299.005 222.751V255.564ZM281.375 136.524V81.7983L221.977 136.524L281.375 136.524ZM177.921 136.524H118.524V81.7983L177.921 136.524Z" fill="black"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/perplexity/perplexity.py b/api/core/tools/provider/builtin/perplexity/perplexity.py
deleted file mode 100644
index 80518853fb..0000000000
--- a/api/core/tools/provider/builtin/perplexity/perplexity.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.perplexity.tools.perplexity_search import PERPLEXITY_API_URL
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class PerplexityProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        headers = {
-            "Authorization": f"Bearer {credentials.get('perplexity_api_key')}",
-            "Content-Type": "application/json",
-        }
-
-        payload = {
-            "model": "llama-3.1-sonar-small-128k-online",
-            "messages": [
-                {"role": "system", "content": "You are a helpful assistant."},
-                {"role": "user", "content": "Hello"},
-            ],
-            "max_tokens": 5,
-            "temperature": 0.1,
-            "top_p": 0.9,
-            "stream": False,
-        }
-
-        try:
-            response = requests.post(PERPLEXITY_API_URL, json=payload, headers=headers)
-            response.raise_for_status()
-        except requests.RequestException as e:
-            raise ToolProviderCredentialValidationError(f"Failed to validate Perplexity API key: {str(e)}")
-
-        if response.status_code != 200:
-            raise ToolProviderCredentialValidationError(
-                f"Perplexity API key is invalid. Status code: {response.status_code}"
-            )
diff --git a/api/core/tools/provider/builtin/perplexity/perplexity.yaml b/api/core/tools/provider/builtin/perplexity/perplexity.yaml
deleted file mode 100644
index c0b504f300..0000000000
--- a/api/core/tools/provider/builtin/perplexity/perplexity.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-identity:
-  author: Dify
-  name: perplexity
-  label:
-    en_US: Perplexity
-    zh_Hans: Perplexity
-  description:
-    en_US: Perplexity.AI
-    zh_Hans: Perplexity.AI
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  perplexity_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Perplexity API key
-      zh_Hans: Perplexity API key
-    placeholder:
-      en_US: Please input your Perplexity API key
-      zh_Hans: 请输入你的 Perplexity API key
-    help:
-      en_US: Get your Perplexity API key from Perplexity
-      zh_Hans: 从 Perplexity 获取您的 Perplexity API key
-    url: https://www.perplexity.ai/settings/api
diff --git a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py b/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py
deleted file mode 100644
index 5ed4b9ca99..0000000000
--- a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-PERPLEXITY_API_URL = "https://api.perplexity.ai/chat/completions"
-
-
-class PerplexityAITool(BuiltinTool):
-    def _parse_response(self, response: dict) -> dict:
-        """Parse the response from Perplexity AI API"""
-        if "choices" in response and len(response["choices"]) > 0:
-            message = response["choices"][0]["message"]
-            return {
-                "content": message.get("content", ""),
-                "role": message.get("role", ""),
-                "citations": response.get("citations", []),
-            }
-        else:
-            return {"content": "Unable to get a valid response", "role": "assistant", "citations": []}
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "Authorization": f"Bearer {self.runtime.credentials['perplexity_api_key']}",
-            "Content-Type": "application/json",
-        }
-
-        payload = {
-            "model": tool_parameters.get("model", "llama-3.1-sonar-small-128k-online"),
-            "messages": [
-                {"role": "system", "content": "Be precise and concise."},
-                {"role": "user", "content": tool_parameters["query"]},
-            ],
-            "max_tokens": tool_parameters.get("max_tokens", 4096),
-            "temperature": tool_parameters.get("temperature", 0.7),
-            "top_p": tool_parameters.get("top_p", 1),
-            "top_k": tool_parameters.get("top_k", 5),
-            "presence_penalty": tool_parameters.get("presence_penalty", 0),
-            "frequency_penalty": tool_parameters.get("frequency_penalty", 1),
-            "stream": False,
-        }
-
-        if "search_recency_filter" in tool_parameters:
-            payload["search_recency_filter"] = tool_parameters["search_recency_filter"]
-        if "return_citations" in tool_parameters:
-            payload["return_citations"] = tool_parameters["return_citations"]
-        if "search_domain_filter" in tool_parameters:
-            if isinstance(tool_parameters["search_domain_filter"], str):
-                payload["search_domain_filter"] = [tool_parameters["search_domain_filter"]]
-            elif isinstance(tool_parameters["search_domain_filter"], list):
-                payload["search_domain_filter"] = tool_parameters["search_domain_filter"]
-
-        response = requests.post(url=PERPLEXITY_API_URL, json=payload, headers=headers)
-        response.raise_for_status()
-        valuable_res = self._parse_response(response.json())
-
-        return [
-            self.create_json_message(valuable_res),
-            self.create_text_message(json.dumps(valuable_res, ensure_ascii=False, indent=2)),
-        ]
diff --git a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml b/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml
deleted file mode 100644
index 02a645df33..0000000000
--- a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml
+++ /dev/null
@@ -1,178 +0,0 @@
-identity:
-  name: perplexity
-  author: Dify
-  label:
-    en_US: Perplexity Search
-description:
-  human:
-    en_US: Search information using Perplexity AI's language models.
-  llm: This tool is used to search information using Perplexity AI's language models.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-    human_description:
-      en_US: The text query to be processed by the AI model.
-      zh_Hans: 要由 AI 模型处理的文本查询。
-    form: llm
-  - name: model
-    type: select
-    required: false
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    human_description:
-      en_US: The Perplexity AI model to use for generating the response.
-      zh_Hans: 用于生成响应的 Perplexity AI 模型。
-    form: form
-    default: "llama-3.1-sonar-small-128k-online"
-    options:
-      - value: llama-3.1-sonar-small-128k-online
-        label:
-          en_US: llama-3.1-sonar-small-128k-online
-          zh_Hans: llama-3.1-sonar-small-128k-online
-      - value: llama-3.1-sonar-large-128k-online
-        label:
-          en_US: llama-3.1-sonar-large-128k-online
-          zh_Hans: llama-3.1-sonar-large-128k-online
-      - value: llama-3.1-sonar-huge-128k-online
-        label:
-          en_US: llama-3.1-sonar-huge-128k-online
-          zh_Hans: llama-3.1-sonar-huge-128k-online
-  - name: max_tokens
-    type: number
-    required: false
-    label:
-      en_US: Max Tokens
-      zh_Hans: 最大令牌数
-      pt_BR: Máximo de Tokens
-    human_description:
-      en_US: The maximum number of tokens to generate in the response.
-      zh_Hans: 在响应中生成的最大令牌数。
-      pt_BR: O número máximo de tokens a serem gerados na resposta.
-    form: form
-    default: 4096
-    min: 1
-    max: 4096
-  - name: temperature
-    type: number
-    required: false
-    label:
-      en_US: Temperature
-      zh_Hans: 温度
-      pt_BR: Temperatura
-    human_description:
-      en_US: Controls randomness in the output. Lower values make the output more focused and deterministic.
-      zh_Hans: 控制输出的随机性。较低的值使输出更加集中和确定。
-    form: form
-    default: 0.7
-    min: 0
-    max: 1
-  - name: top_k
-    type: number
-    required: false
-    label:
-      en_US: Top K
-      zh_Hans: 取样数量
-    human_description:
-      en_US: The number of top results to consider for response generation.
-      zh_Hans: 用于生成响应的顶部结果数量。
-    form: form
-    default: 5
-    min: 1
-    max: 100
-  - name: top_p
-    type: number
-    required: false
-    label:
-      en_US: Top P
-      zh_Hans: Top P
-    human_description:
-      en_US: Controls diversity via nucleus sampling.
-      zh_Hans: 通过核心采样控制多样性。
-    form: form
-    default: 1
-    min: 0.1
-    max: 1
-    step: 0.1
-  - name: presence_penalty
-    type: number
-    required: false
-    label:
-      en_US: Presence Penalty
-      zh_Hans: 存在惩罚
-    human_description:
-      en_US: Positive values penalize new tokens based on whether they appear in the text so far.
-      zh_Hans: 正值会根据新词元是否已经出现在文本中来对其进行惩罚。
-    form: form
-    default: 0
-    min: -1.0
-    max: 1.0
-    step: 0.1
-  - name: frequency_penalty
-    type: number
-    required: false
-    label:
-      en_US: Frequency Penalty
-      zh_Hans: 频率惩罚
-    human_description:
-      en_US: Positive values penalize new tokens based on their existing frequency in the text so far.
-      zh_Hans: 正值会根据新词元在文本中已经出现的频率来对其进行惩罚。
-    form: form
-    default: 1
-    min: 0.1
-    max: 1.0
-    step: 0.1
-  - name: return_citations
-    type: boolean
-    required: false
-    label:
-      en_US: Return Citations
-      zh_Hans: 返回引用
-    human_description:
-      en_US: Whether to return citations in the response.
-      zh_Hans: 是否在响应中返回引用。
-    form: form
-    default: true
-  - name: search_domain_filter
-    type: string
-    required: false
-    label:
-      en_US: Search Domain Filter
-      zh_Hans: 搜索域过滤器
-    human_description:
-      en_US: Domain to filter the search results.
-      zh_Hans: 用于过滤搜索结果的域名。
-    form: form
-    default: ""
-  - name: search_recency_filter
-    type: select
-    required: false
-    label:
-      en_US: Search Recency Filter
-      zh_Hans: 搜索时间过滤器
-    human_description:
-      en_US: Filter for search results based on recency.
-      zh_Hans: 基于时间筛选搜索结果。
-    form: form
-    default: "month"
-    options:
-      - value: day
-        label:
-          en_US: Day
-          zh_Hans: 天
-      - value: week
-        label:
-          en_US: Week
-          zh_Hans: 周
-      - value: month
-        label:
-          en_US: Month
-          zh_Hans: 月
-      - value: year
-        label:
-          en_US: Year
-          zh_Hans: 年
diff --git a/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg b/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg
deleted file mode 100644
index 01743c9cd3..0000000000
--- a/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg
+++ /dev/null
@@ -1,24 +0,0 @@
-<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
-    <rect width="100" height="100" rx="20" fill="#4A90E2" />
-    <path
-        d="M50 25C40.6 25 33 32.6 33 42V58C33 67.4 40.6 75 50 75C59.4 75 67 67.4 67 58V42C67 32.6 59.4 25 50 25ZM61 58C61 64.1 56.1 69 50 69C43.9 69 39 64.1 39 58V42C39 35.9 43.9 31 50 31C56.1 31 61 35.9 61 42V58Z"
-        fill="white" />
-    <path d="M50 37C47.2 37 45 39.2 45 42V58C45 60.8 47.2 63 50 63C52.8 63 55 60.8 55 58V42C55 39.2 52.8 37 50 37Z"
-        fill="white" />
-    <path
-        d="M73 49H69V58C69 68.5 60.5 77 50 77C39.5 77 31 68.5 31 58V49H27V58C27 70.7 37.3 81 50 81C62.7 81 73 70.7 73 58V49Z"
-        fill="white" />
-    <path d="M50 85C51.1 85 52 84.1 52 83V81H48V83C48 84.1 48.9 85 50 85Z" fill="white" />
-    <path
-        d="M35 45C36.1046 45 37 44.1046 37 43C37 41.8954 36.1046 41 35 41C33.8954 41 33 41.8954 33 43C33 44.1046 33.8954 45 35 45Z"
-        fill="white" />
-    <path
-        d="M35 55C36.1046 55 37 54.1046 37 53C37 51.8954 36.1046 51 35 51C33.8954 51 33 51.8954 33 53C33 54.1046 33.8954 55 35 55Z"
-        fill="white" />
-    <path
-        d="M65 45C66.1046 45 67 44.1046 67 43C67 41.8954 66.1046 41 65 41C63.8954 41 63 41.8954 63 43C63 44.1046 63.8954 45 65 45Z"
-        fill="white" />
-    <path
-        d="M65 55C66.1046 55 67 54.1046 67 53C67 51.8954 66.1046 51 65 51C63.8954 51 63 51.8954 63 53C63 54.1046 63.8954 55 65 55Z"
-        fill="white" />
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py b/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py
deleted file mode 100644
index a7f7ad2e78..0000000000
--- a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from typing import Any
-
-import openai
-from yarl import URL
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class PodcastGeneratorProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        tts_service = credentials.get("tts_service")
-        api_key = credentials.get("api_key")
-        base_url = credentials.get("openai_base_url")
-
-        if not tts_service:
-            raise ToolProviderCredentialValidationError("TTS service is not specified")
-
-        if not api_key:
-            raise ToolProviderCredentialValidationError("API key is missing")
-
-        if base_url:
-            base_url = str(URL(base_url) / "v1")
-
-        if tts_service == "openai":
-            self._validate_openai_credentials(api_key, base_url)
-        else:
-            raise ToolProviderCredentialValidationError(f"Unsupported TTS service: {tts_service}")
-
-    def _validate_openai_credentials(self, api_key: str, base_url: str | None) -> None:
-        client = openai.OpenAI(api_key=api_key, base_url=base_url)
-        try:
-            # We're using a simple API call to validate the credentials
-            client.models.list()
-        except openai.AuthenticationError:
-            raise ToolProviderCredentialValidationError("Invalid OpenAI API key")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(f"Error validating OpenAI API key: {str(e)}")
diff --git a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml b/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml
deleted file mode 100644
index d4edb17b28..0000000000
--- a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml
+++ /dev/null
@@ -1,46 +0,0 @@
-identity:
-  author: Dify
-  name: podcast_generator
-  label:
-    en_US: Podcast Generator
-    zh_Hans: 播客生成器
-  description:
-    en_US: Generate podcast audio using Text-to-Speech services
-    zh_Hans: 使用文字转语音服务生成播客音频
-  icon: icon.svg
-credentials_for_provider:
-  tts_service:
-    type: select
-    required: true
-    label:
-      en_US: TTS Service
-      zh_Hans: TTS 服务
-    placeholder:
-      en_US: Select a TTS service
-      zh_Hans: 选择一个 TTS 服务
-    options:
-      - label:
-          en_US: OpenAI TTS
-          zh_Hans: OpenAI TTS
-        value: openai
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-      zh_Hans: API 密钥
-    placeholder:
-      en_US: Enter your TTS service API key
-      zh_Hans: 输入您的 TTS 服务 API 密钥
-  openai_base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: OpenAI base URL
-      zh_Hans: OpenAI base URL
-    help:
-      en_US: Please input your OpenAI base URL
-      zh_Hans: 请输入你的 OpenAI base URL
-    placeholder:
-      en_US: Please input your OpenAI base URL
-      zh_Hans: 请输入你的 OpenAI base URL
diff --git a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py b/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py
deleted file mode 100644
index 704e0015d9..0000000000
--- a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py
+++ /dev/null
@@ -1,114 +0,0 @@
-import concurrent.futures
-import io
-import random
-import warnings
-from typing import Any, Literal, Optional, Union
-
-import openai
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolParameterValidationError, ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-with warnings.catch_warnings():
-    warnings.simplefilter("ignore")
-    from pydub import AudioSegment  # type: ignore
-
-
-class PodcastAudioGeneratorTool(BuiltinTool):
-    @staticmethod
-    def _generate_silence(duration: float):
-        # Generate silent WAV data using pydub
-        silence = AudioSegment.silent(duration=int(duration * 1000))  # pydub uses milliseconds
-        return silence
-
-    @staticmethod
-    def _generate_audio_segment(
-        client: openai.OpenAI,
-        line: str,
-        voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
-        index: int,
-    ) -> tuple[int, Union[AudioSegment, str], Optional[AudioSegment]]:
-        try:
-            response = client.audio.speech.create(model="tts-1", voice=voice, input=line.strip(), response_format="wav")
-            audio = AudioSegment.from_wav(io.BytesIO(response.content))
-            silence_duration = random.uniform(0.1, 1.5)
-            silence = PodcastAudioGeneratorTool._generate_silence(silence_duration)
-            return index, audio, silence
-        except Exception as e:
-            return index, f"Error generating audio: {str(e)}", None
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        # Extract parameters
-        script = tool_parameters.get("script", "")
-        host1_voice = tool_parameters.get("host1_voice")
-        host2_voice = tool_parameters.get("host2_voice")
-
-        # Split the script into lines
-        script_lines = [line for line in script.split("\n") if line.strip()]
-
-        # Ensure voices are provided
-        if not host1_voice or not host2_voice:
-            raise ToolParameterValidationError("Host voices are required")
-
-        # Ensure runtime and credentials
-        if not self.runtime or not self.runtime.credentials:
-            raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing")
-
-        # Get OpenAI API key from credentials
-        api_key = self.runtime.credentials.get("api_key")
-        if not api_key:
-            raise ToolProviderCredentialValidationError("OpenAI API key is missing")
-
-        # Get OpenAI base URL
-        openai_base_url = self.runtime.credentials.get("openai_base_url", None)
-        openai_base_url = str(URL(openai_base_url) / "v1") if openai_base_url else None
-
-        # Initialize OpenAI client
-        client = openai.OpenAI(
-            api_key=api_key,
-            base_url=openai_base_url,
-        )
-
-        # Create a thread pool
-        max_workers = 5
-        with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
-            futures = []
-            for i, line in enumerate(script_lines):
-                voice = host1_voice if i % 2 == 0 else host2_voice
-                future = executor.submit(self._generate_audio_segment, client, line, voice, i)
-                futures.append(future)
-
-            # Collect results
-            audio_segments: list[Any] = [None] * len(script_lines)
-            for future in concurrent.futures.as_completed(futures):
-                index, audio, silence = future.result()
-                if isinstance(audio, str):  # Error occurred
-                    return self.create_text_message(audio)
-                audio_segments[index] = (audio, silence)
-
-        # Combine audio segments in the correct order
-        combined_audio = AudioSegment.empty()
-        for i, (audio, silence) in enumerate(audio_segments):
-            if audio:
-                combined_audio += audio
-                if i < len(audio_segments) - 1 and silence:
-                    combined_audio += silence
-
-        # Export the combined audio to a WAV file in memory
-        buffer = io.BytesIO()
-        combined_audio.export(buffer, format="wav")
-        wav_bytes = buffer.getvalue()
-
-        # Create a blob message with the combined audio
-        return [
-            self.create_text_message("Audio generated successfully"),
-            self.create_blob_message(
-                blob=wav_bytes,
-                meta={"mime_type": "audio/x-wav"},
-                save_as=self.VariableKey.AUDIO,
-            ),
-        ]
diff --git a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml b/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml
deleted file mode 100644
index d6ae98f595..0000000000
--- a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml
+++ /dev/null
@@ -1,95 +0,0 @@
-identity:
-  name: podcast_audio_generator
-  author: Dify
-  label:
-    en_US: Podcast Audio Generator
-    zh_Hans: 播客音频生成器
-description:
-  human:
-    en_US: Generate a podcast audio file from a script with two alternating voices using OpenAI's TTS service.
-    zh_Hans: 使用 OpenAI 的 TTS 服务，从包含两个交替声音的脚本生成播客音频文件。
-  llm: This tool converts a prepared podcast script into an audio file using OpenAI's Text-to-Speech service, with two specified voices for alternating hosts.
-parameters:
-  - name: script
-    type: string
-    required: true
-    label:
-      en_US: Podcast Script
-      zh_Hans: 播客脚本
-    human_description:
-      en_US: A string containing alternating lines for two hosts, separated by newline characters.
-      zh_Hans: 包含两位主持人交替台词的字符串，每行用换行符分隔。
-    llm_description: A string representing the script, with alternating lines for two hosts separated by newline characters.
-    form: llm
-  - name: host1_voice
-    type: select
-    required: true
-    label:
-      en_US: Host 1 Voice
-      zh_Hans: 主持人1 音色
-    human_description:
-      en_US: The voice for the first host.
-      zh_Hans: 第一位主持人的音色。
-    llm_description: The voice identifier for the first host's voice.
-    options:
-      - label:
-          en_US: Alloy
-          zh_Hans: Alloy
-        value: alloy
-      - label:
-          en_US: Echo
-          zh_Hans: Echo
-        value: echo
-      - label:
-          en_US: Fable
-          zh_Hans: Fable
-        value: fable
-      - label:
-          en_US: Onyx
-          zh_Hans: Onyx
-        value: onyx
-      - label:
-          en_US: Nova
-          zh_Hans: Nova
-        value: nova
-      - label:
-          en_US: Shimmer
-          zh_Hans: Shimmer
-        value: shimmer
-    form: form
-  - name: host2_voice
-    type: select
-    required: true
-    label:
-      en_US: Host 2 Voice
-      zh_Hans: 主持人2 音色
-    human_description:
-      en_US: The voice for the second host.
-      zh_Hans: 第二位主持人的音色。
-    llm_description: The voice identifier for the second host's voice.
-    options:
-      - label:
-          en_US: Alloy
-          zh_Hans: Alloy
-        value: alloy
-      - label:
-          en_US: Echo
-          zh_Hans: Echo
-        value: echo
-      - label:
-          en_US: Fable
-          zh_Hans: Fable
-        value: fable
-      - label:
-          en_US: Onyx
-          zh_Hans: Onyx
-        value: onyx
-      - label:
-          en_US: Nova
-          zh_Hans: Nova
-        value: nova
-      - label:
-          en_US: Shimmer
-          zh_Hans: Shimmer
-        value: shimmer
-    form: form
diff --git a/api/core/tools/provider/builtin/pubmed/_assets/icon.svg b/api/core/tools/provider/builtin/pubmed/_assets/icon.svg
deleted file mode 100644
index 6d6ff593f0..0000000000
--- a/api/core/tools/provider/builtin/pubmed/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg height="512" viewBox="0 0 448 512" width="448" xmlns="http://www.w3.org/2000/svg"><path d="m48 32c-26.5 0-48 21.5-48 48v352c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48v-352c0-26.5-21.5-48-48-48zm69.56445 64s49.09165 11.12539 46.59571 94.78125c0 0 41.47034-117.171493 204.5664 1.64844 0 42.78788-.31445 172.24246-.31445 223.57031-176.89733-149.87989-207.38477-22.06836-207.38477-22.06836 0-79.8558-81.753902-70.33984-81.753902-70.33984v-212.65039s18.755175 1.4021 38.291012 11.11132zm86.14649 98.2832-24.00196 141.34961h36.5625l11.81446-81.3789h.37304l32.44727 81.3789h14.63281l33.93946-81.3789h.37304l10.31446 81.3789h36.7832l-21.40234-141.34961h-36.5625l-30.38868 75.54102-28.69531-75.54102z"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/pubmed/pubmed.py b/api/core/tools/provider/builtin/pubmed/pubmed.py
deleted file mode 100644
index ea3a477c30..0000000000
--- a/api/core/tools/provider/builtin/pubmed/pubmed.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.pubmed.tools.pubmed_search import PubMedSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class PubMedProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            PubMedSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "John Doe",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/pubmed/pubmed.yaml b/api/core/tools/provider/builtin/pubmed/pubmed.yaml
deleted file mode 100644
index 5f8303147c..0000000000
--- a/api/core/tools/provider/builtin/pubmed/pubmed.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-identity:
-  author: Pink Banana
-  name: pubmed
-  label:
-    en_US: PubMed
-    zh_Hans: PubMed
-  description:
-    en_US: A search engine for biomedical literature.
-    zh_Hans: 一款生物医学文献搜索引擎。
-  icon: icon.svg
-  tags:
-    - medical
-    - search
diff --git a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py
deleted file mode 100644
index 3a4f374ea0..0000000000
--- a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py
+++ /dev/null
@@ -1,191 +0,0 @@
-import json
-import time
-import urllib.error
-import urllib.parse
-import urllib.request
-from typing import Any
-
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class PubMedAPIWrapper(BaseModel):
-    """
-    Wrapper around PubMed API.
-
-    This wrapper will use the PubMed API to conduct searches and fetch
-    document summaries. By default, it will return the document summaries
-    of the top-k results of an input search.
-
-    Parameters:
-        top_k_results: number of the top-scored document used for the PubMed tool
-        load_max_docs: a limit to the number of loaded documents
-        load_all_available_meta:
-          if True: the `metadata` of the loaded Documents gets all available meta info
-            (see https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch)
-          if False: the `metadata` gets only the most informative fields.
-    """
-
-    base_url_esearch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?"
-    base_url_efetch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?"
-    max_retry: int = 5
-    sleep_time: float = 0.2
-
-    # Default values for the parameters
-    top_k_results: int = 3
-    load_max_docs: int = 25
-    ARXIV_MAX_QUERY_LENGTH: int = 300
-    doc_content_chars_max: int = 2000
-    load_all_available_meta: bool = False
-    email: str = "your_email@example.com"
-
-    def run(self, query: str) -> str:
-        """
-        Run PubMed search and get the article meta information.
-        See https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch
-        It uses only the most informative fields of article meta information.
-        """
-
-        try:
-            # Retrieve the top-k results for the query
-            docs = [
-                f"Published: {result['pub_date']}\nTitle: {result['title']}\nSummary: {result['summary']}"
-                for result in self.load(query[: self.ARXIV_MAX_QUERY_LENGTH])
-            ]
-
-            # Join the results and limit the character count
-            return "\n\n".join(docs)[: self.doc_content_chars_max] if docs else "No good PubMed Result was found"
-        except Exception as ex:
-            return f"PubMed exception: {ex}"
-
-    def load(self, query: str) -> list[dict]:
-        """
-        Search PubMed for documents matching the query.
-        Return a list of dictionaries containing the document metadata.
-        """
-
-        url = (
-            self.base_url_esearch
-            + "db=pubmed&term="
-            + str({urllib.parse.quote(query)})
-            + f"&retmode=json&retmax={self.top_k_results}&usehistory=y"
-        )
-        result = urllib.request.urlopen(url)
-        text = result.read().decode("utf-8")
-        json_text = json.loads(text)
-
-        articles = []
-        webenv = json_text["esearchresult"]["webenv"]
-        for uid in json_text["esearchresult"]["idlist"]:
-            article = self.retrieve_article(uid, webenv)
-            articles.append(article)
-
-        # Convert the list of articles to a JSON string
-        return articles
-
-    def retrieve_article(self, uid: str, webenv: str) -> dict:
-        url = self.base_url_efetch + "db=pubmed&retmode=xml&id=" + uid + "&webenv=" + webenv
-
-        retry = 0
-        while True:
-            try:
-                result = urllib.request.urlopen(url)
-                break
-            except urllib.error.HTTPError as e:
-                if e.code == 429 and retry < self.max_retry:
-                    # Too Many Requests error
-                    # wait for an exponentially increasing amount of time
-                    print(f"Too Many Requests, waiting for {self.sleep_time:.2f} seconds...")
-                    time.sleep(self.sleep_time)
-                    self.sleep_time *= 2
-                    retry += 1
-                else:
-                    raise e
-
-        xml_text = result.read().decode("utf-8")
-
-        # Get title
-        title = ""
-        if "<ArticleTitle>" in xml_text and "</ArticleTitle>" in xml_text:
-            start_tag = "<ArticleTitle>"
-            end_tag = "</ArticleTitle>"
-            title = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)]
-
-        # Get abstract
-        abstract = ""
-        if "<AbstractText>" in xml_text and "</AbstractText>" in xml_text:
-            start_tag = "<AbstractText>"
-            end_tag = "</AbstractText>"
-            abstract = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)]
-
-        # Get publication date
-        pub_date = ""
-        if "<PubDate>" in xml_text and "</PubDate>" in xml_text:
-            start_tag = "<PubDate>"
-            end_tag = "</PubDate>"
-            pub_date = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)]
-
-        # Return article as dictionary
-        article = {
-            "uid": uid,
-            "title": title,
-            "summary": abstract,
-            "pub_date": pub_date,
-        }
-        return article
-
-
-class PubmedQueryRun(BaseModel):
-    """Tool that searches the PubMed API."""
-
-    name: str = "PubMed"
-    description: str = (
-        "A wrapper around PubMed.org "
-        "Useful for when you need to answer questions about Physics, Mathematics, "
-        "Computer Science, Quantitative Biology, Quantitative Finance, Statistics, "
-        "Electrical Engineering, and Economics "
-        "from scientific articles on PubMed.org. "
-        "Input should be a search query."
-    )
-    api_wrapper: PubMedAPIWrapper = Field(default_factory=PubMedAPIWrapper)
-
-    def _run(
-        self,
-        query: str,
-    ) -> str:
-        """Use the Arxiv tool."""
-        return self.api_wrapper.run(query)
-
-
-class PubMedInput(BaseModel):
-    query: str = Field(..., description="Search query.")
-
-
-class PubMedSearchTool(BuiltinTool):
-    """
-    Tool for performing a search using PubMed search engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invoke the PubMed search tool.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool invocation.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation.
-        """
-        query = tool_parameters.get("query", "")
-
-        if not query:
-            return self.create_text_message("Please input query")
-
-        tool = PubmedQueryRun(args_schema=PubMedInput)
-
-        result = tool._run(query)
-
-        return self.create_text_message(self.summary(user_id=user_id, content=result))
diff --git a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml
deleted file mode 100644
index 77ab809fbc..0000000000
--- a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: pubmed_search
-  author: Pink Banana
-  label:
-    en_US: PubMed Search
-    zh_Hans: PubMed 搜索
-description:
-  human:
-    en_US: PubMed® comprises more than 35 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full text content from PubMed Central and publisher web sites.
-    zh_Hans: PubMed® 包含来自 MEDLINE、生命科学期刊和在线书籍的超过 3500 万篇生物医学文献引用。引用可能包括来自 PubMed Central 和出版商网站的全文内容链接。
-  llm: Perform searches on PubMed and get results.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-    human_description:
-      en_US: The search query.
-      zh_Hans: 搜索查询语句。
-    llm_description: Key words for searching
-    form: llm
diff --git a/api/core/tools/provider/builtin/qrcode/_assets/icon.svg b/api/core/tools/provider/builtin/qrcode/_assets/icon.svg
deleted file mode 100644
index 979bdda455..0000000000
--- a/api/core/tools/provider/builtin/qrcode/_assets/icon.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg width="800px" height="800px" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
-    <g>
-        <path fill="none" d="M0 0h24v24H0z"/>
-        <path d="M16 17v-1h-3v-3h3v2h2v2h-1v2h-2v2h-2v-3h2v-1h1zm5 4h-4v-2h2v-2h2v4zM3 3h8v8H3V3zm2 2v4h4V5H5zm8-2h8v8h-8V3zm2 2v4h4V5h-4zM3 13h8v8H3v-8zm2 2v4h4v-4H5zm13-2h3v2h-3v-2zM6 6h2v2H6V6zm0 10h2v2H6v-2zM16 6h2v2h-2V6z"/>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/qrcode/qrcode.py b/api/core/tools/provider/builtin/qrcode/qrcode.py
deleted file mode 100644
index 8466b9a26b..0000000000
--- a/api/core/tools/provider/builtin/qrcode/qrcode.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.qrcode.tools.qrcode_generator import QRCodeGeneratorTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class QRCodeProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            QRCodeGeneratorTool().invoke(user_id="", tool_parameters={"content": "Dify 123 😊"})
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/qrcode/qrcode.yaml b/api/core/tools/provider/builtin/qrcode/qrcode.yaml
deleted file mode 100644
index 82e2a06e15..0000000000
--- a/api/core/tools/provider/builtin/qrcode/qrcode.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
-identity:
-  author: Bowen Liang
-  name: qrcode
-  label:
-    en_US: QRCode
-    zh_Hans: 二维码工具
-    pt_BR: QRCode
-  description:
-    en_US: A tool for generating QR code (quick-response code) image.
-    zh_Hans: 一个二维码工具
-    pt_BR: A tool for generating QR code (quick-response code) image.
-  icon: icon.svg
-  tags:
-    - utilities
diff --git a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py
deleted file mode 100644
index 4a47c4211f..0000000000
--- a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import io
-import logging
-from typing import Any, Union
-
-from qrcode.constants import ERROR_CORRECT_H, ERROR_CORRECT_L, ERROR_CORRECT_M, ERROR_CORRECT_Q  # type: ignore
-from qrcode.image.base import BaseImage  # type: ignore
-from qrcode.image.pure import PyPNGImage  # type: ignore
-from qrcode.main import QRCode  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class QRCodeGeneratorTool(BuiltinTool):
-    error_correction_levels: dict[str, int] = {
-        "L": ERROR_CORRECT_L,  # <=7%
-        "M": ERROR_CORRECT_M,  # <=15%
-        "Q": ERROR_CORRECT_Q,  # <=25%
-        "H": ERROR_CORRECT_H,  # <=30%
-    }
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get text content
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        # get border size
-        border = tool_parameters.get("border", 0)
-        if border < 0 or border > 100:
-            return self.create_text_message("Invalid parameter border")
-
-        # get error_correction
-        error_correction = tool_parameters.get("error_correction", "")
-        if error_correction not in self.error_correction_levels:
-            return self.create_text_message("Invalid parameter error_correction")
-
-        try:
-            image = self._generate_qrcode(content, border, error_correction)
-            image_bytes = self._image_to_byte_array(image)
-            return self.create_blob_message(
-                blob=image_bytes, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-            )
-        except Exception:
-            logging.exception(f"Failed to generate QR code for content: {content}")
-            return self.create_text_message("Failed to generate QR code")
-
-    def _generate_qrcode(self, content: str, border: int, error_correction: str) -> BaseImage:
-        qr = QRCode(
-            image_factory=PyPNGImage,
-            error_correction=self.error_correction_levels.get(error_correction),
-            border=border,
-        )
-        qr.add_data(data=content)
-        qr.make(fit=True)
-        img = qr.make_image()
-        return img
-
-    @staticmethod
-    def _image_to_byte_array(image: BaseImage) -> bytes:
-        byte_stream = io.BytesIO()
-        image.save(byte_stream)
-        return byte_stream.getvalue()
diff --git a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml
deleted file mode 100644
index 8c8b8c449a..0000000000
--- a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml
+++ /dev/null
@@ -1,76 +0,0 @@
-identity:
-  name: qrcode_generator
-  author: Bowen Liang
-  label:
-    en_US: Generate QR Code
-    zh_Hans: 生成二维码
-    pt_BR: Generate QR Code
-description:
-  human:
-    en_US: A tool for generating QR code image
-    zh_Hans: 一个用于生成二维码的工具
-    pt_BR: A tool for generating QR code image
-  llm: A tool for generating QR code image
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content text for QR code
-      zh_Hans: 二维码文本内容
-      pt_BR: content text for QR code
-    human_description:
-      en_US: content text for QR code
-      zh_Hans: 二维码文本内容
-      pt_BR: 二维码文本内容
-    form: llm
-  - name: error_correction
-    type: select
-    required: true
-    default: M
-    label:
-      en_US: Error Correction
-      zh_Hans: 容错等级
-      pt_BR: Error Correction
-    human_description:
-      en_US: Error Correction in L, M, Q or H, from low to high, the bigger size of generated QR code with the better error correction effect
-      zh_Hans: 容错等级，可设置为低、中、偏高或高，从低到高，生成的二维码越大且容错效果越好
-      pt_BR: Error Correction in L, M, Q or H, from low to high, the bigger size of generated QR code with the better error correction effect
-    options:
-      - value: L
-        label:
-          en_US: Low
-          zh_Hans: 低
-          pt_BR: Low
-      - value: M
-        label:
-          en_US: Medium
-          zh_Hans: 中
-          pt_BR: Medium
-      - value: Q
-        label:
-          en_US: Quartile
-          zh_Hans: 偏高
-          pt_BR: Quartile
-      - value: H
-        label:
-          en_US: High
-          zh_Hans: 高
-          pt_BR: High
-    form: form
-  - name: border
-    type: number
-    required: true
-    default: 2
-    min: 0
-    max: 100
-    label:
-      en_US: border size
-      zh_Hans: 边框粗细
-      pt_BR: border size
-    human_description:
-      en_US: border size（default to 2）
-      zh_Hans: 边框粗细的格数（默认为2）
-      pt_BR: border size（default to 2）
-    llm: border size, default to 2
-    form: form
diff --git a/api/core/tools/provider/builtin/rapidapi/_assets/rapidapi.png b/api/core/tools/provider/builtin/rapidapi/_assets/rapidapi.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/rapidapi/rapidapi.py b/api/core/tools/provider/builtin/rapidapi/rapidapi.py
deleted file mode 100644
index 31077b0894..0000000000
--- a/api/core/tools/provider/builtin/rapidapi/rapidapi.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.rapidapi.tools.google_news import GooglenewsTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class RapidapiProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            GooglenewsTool().fork_tool_runtime(
-                meta={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "language_region": "en-US",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml b/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml
deleted file mode 100644
index 3f1d1c5824..0000000000
--- a/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-identity:
-  name: rapidapi
-  author: Steven Sun
-  label:
-    en_US: RapidAPI
-    zh_Hans: RapidAPI
-  description:
-    en_US: RapidAPI is the world's largest API marketplace with over 1,000,000 developers and 10,000 APIs.
-    zh_Hans: RapidAPI是全球最大的API市场，拥有超过100万开发人员和10000个API。
-  icon: rapidapi.png
-  tags:
-    - news
-credentials_for_provider:
-  x-rapidapi-host:
-    type: text-input
-    required: true
-    label:
-      en_US: x-rapidapi-host
-      zh_Hans: x-rapidapi-host
-    placeholder:
-      en_US: Please input your x-rapidapi-host
-      zh_Hans: 请输入你的 x-rapidapi-host
-    help:
-      en_US: Get your x-rapidapi-host from RapidAPI.
-      zh_Hans: 从 RapidAPI 获取您的 x-rapidapi-host。
-    url: https://rapidapi.com/
-  x-rapidapi-key:
-    type: secret-input
-    required: true
-    label:
-      en_US: x-rapidapi-key
-      zh_Hans: x-rapidapi-key
-    placeholder:
-      en_US: Please input your x-rapidapi-key
-      zh_Hans: 请输入你的 x-rapidapi-key
-    help:
-      en_US: Get your x-rapidapi-key from RapidAPI.
-      zh_Hans: 从 RapidAPI 获取您的 x-rapidapi-key。
-    url: https://rapidapi.com/
diff --git a/api/core/tools/provider/builtin/rapidapi/tools/google_news.py b/api/core/tools/provider/builtin/rapidapi/tools/google_news.py
deleted file mode 100644
index d4b6dc4a46..0000000000
--- a/api/core/tools/provider/builtin/rapidapi/tools/google_news.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolInvokeError, ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GooglenewsTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        key = self.runtime.credentials.get("x-rapidapi-key", "")
-        host = self.runtime.credentials.get("x-rapidapi-host", "")
-        if not all([key, host]):
-            raise ToolProviderCredentialValidationError("Please input correct x-rapidapi-key and x-rapidapi-host")
-        headers = {"x-rapidapi-key": key, "x-rapidapi-host": host}
-        lr = tool_parameters.get("language_region", "")
-        url = f"https://{host}/latest?lr={lr}"
-        response = requests.get(url, headers=headers)
-        if response.status_code != 200:
-            raise ToolInvokeError(f"Error {response.status_code}: {response.text}")
-        return self.create_text_message(response.text)
-
-    def validate_credentials(self, parameters: dict[str, Any]) -> None:
-        parameters["validate"] = True
-        self._invoke(parameters)
diff --git a/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml b/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml
deleted file mode 100644
index 547681b166..0000000000
--- a/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-identity:
-  name: google_news
-  author: Steven Sun
-  label:
-    en_US: GoogleNews
-    zh_Hans: 谷歌新闻
-description:
-  human:
-    en_US: google news is a news aggregator service developed by Google. It presents a continuous, customizable flow of articles organized from thousands of publishers and magazines.
-    zh_Hans: 谷歌新闻是由谷歌开发的新闻聚合服务。它提供了一个持续的、可定制的文章流，这些文章是从成千上万的出版商和杂志中整理出来的。
-  llm: A tool to get the latest news from Google News.
-parameters:
-  - name: language_region
-    type: string
-    required: true
-    label:
-      en_US: Language and Region
-      zh_Hans: 语言和地区
-    human_description:
-      en_US: The language and region determine the language and region of the search results, and its value is assigned according to the "National Language Code Comparison Table", such as en-US, which stands for English (United States); zh-CN, stands for Chinese (Simplified).
-      zh_Hans: 语言和地区决定了搜索结果的语言和地区,其赋值按照《国家语言代码对照表》，形如en-US,代表英语（美国）；zh-CN，代表中文（简体）。
-    llm_description: The language and region determine the language and region of the search results, and its value is assigned according to the "National Language Code Comparison Table", such as en-US, which stands for English (United States); zh-CN, stands for Chinese (Simplified).
-    default: en-US
-    form: llm
diff --git a/api/core/tools/provider/builtin/regex/_assets/icon.svg b/api/core/tools/provider/builtin/regex/_assets/icon.svg
deleted file mode 100644
index 0231a2b4aa..0000000000
--- a/api/core/tools/provider/builtin/regex/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/regex/regex.py b/api/core/tools/provider/builtin/regex/regex.py
deleted file mode 100644
index c498105979..0000000000
--- a/api/core/tools/provider/builtin/regex/regex.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.regex.tools.regex_extract import RegexExpressionTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class RegexProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            RegexExpressionTool().invoke(
-                user_id="",
-                tool_parameters={
-                    "content": "1+(2+3)*4",
-                    "expression": r"(\d+)",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/regex/regex.yaml b/api/core/tools/provider/builtin/regex/regex.yaml
deleted file mode 100644
index d05776f214..0000000000
--- a/api/core/tools/provider/builtin/regex/regex.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: zhuhao
-  name: regex
-  label:
-    en_US: Regex
-    zh_Hans: 正则表达式提取
-    pt_BR: Regex
-  description:
-    en_US: A tool for regex extraction.
-    zh_Hans: 一个用于正则表达式内容提取的工具。
-    pt_BR: A tool for regex extraction.
-  icon: icon.svg
-  tags:
-    - utilities
-    - productivity
diff --git a/api/core/tools/provider/builtin/regex/tools/regex_extract.py b/api/core/tools/provider/builtin/regex/tools/regex_extract.py
deleted file mode 100644
index 786b469404..0000000000
--- a/api/core/tools/provider/builtin/regex/tools/regex_extract.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import re
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class RegexExpressionTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get expression
-        content = tool_parameters.get("content", "").strip()
-        if not content:
-            return self.create_text_message("Invalid content")
-        expression = tool_parameters.get("expression", "").strip()
-        if not expression:
-            return self.create_text_message("Invalid expression")
-        try:
-            result = re.findall(expression, content)
-            return self.create_text_message(str(result))
-        except Exception as e:
-            return self.create_text_message(f"Failed to extract result, error: {str(e)}")
diff --git a/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml b/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml
deleted file mode 100644
index de4100def1..0000000000
--- a/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: regex_extract
-  author: zhuhao
-  label:
-    en_US: Regex Extract
-    zh_Hans: 正则表达式内容提取
-    pt_BR: Regex Extract
-description:
-  human:
-    en_US: A tool for extracting matching content using regular expressions.
-    zh_Hans: 一个用于利用正则表达式提取匹配内容结果的工具。
-    pt_BR: A tool for extracting matching content using regular expressions.
-  llm: A tool for extracting matching content using regular expressions.
-parameters:
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: Content to be extracted
-      zh_Hans: 内容
-      pt_BR: Content to be extracted
-    human_description:
-      en_US: Content to be extracted
-      zh_Hans: 内容
-      pt_BR: Content to be extracted
-    form: llm
-  - name: expression
-    type: string
-    required: true
-    label:
-      en_US: Regular expression
-      zh_Hans: 正则表达式
-      pt_BR: Regular expression
-    human_description:
-      en_US: Regular expression
-      zh_Hans: 正则表达式
-      pt_BR: Regular expression
-    form: llm
diff --git a/api/core/tools/provider/builtin/searchapi/_assets/icon.svg b/api/core/tools/provider/builtin/searchapi/_assets/icon.svg
deleted file mode 100644
index 7660b2f351..0000000000
--- a/api/core/tools/provider/builtin/searchapi/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg height="112.906975" viewBox="0 0 112.90697479 112.90697479" width="112.906975" xmlns="http://www.w3.org/2000/svg"><path d="m0 0h112.906975v112.906975h-112.906975z" fill="#6986eb"/><path d="m97.24234 109.8245a2.57759 2.57759 0 0 1 -2.57778 2.57778 9.80672 9.80672 0 0 1 -9.79558-9.79557v-11.02305a2.57779 2.57779 0 0 1 5.15557 0v11.02305a4.64509 4.64509 0 0 0 4.64 4.64 2.57759 2.57759 0 0 1 2.57779 2.57779zm14.95114-16.6015a2.57759 2.57759 0 0 0 -2.57778 2.57779 4.64 4.64 0 1 1 -9.28 0v-22.06525a23.2 23.2 0 1 0 -46.40009 0v22.06522a4.64 4.64 0 1 1 -9.28 0 2.57779 2.57779 0 1 0 -5.15557 0 9.79558 9.79558 0 0 0 19.59115 0v-22.06522a18.04449 18.04449 0 0 1 36.089 0v22.06522a9.79558 9.79558 0 0 0 19.59115 0 2.57759 2.57759 0 0 0 -2.57786-2.57776zm-35.05785-1.443a2.57759 2.57759 0 0 0 -2.57778 2.57778v17.52893a2.57779 2.57779 0 0 0 5.15557 0v-17.52891a2.57759 2.57759 0 0 0 -2.57779-2.5778zm-10.31113-2.77412a2.57759 2.57759 0 0 0 -2.57778 2.57778v11.02305a4.64509 4.64509 0 0 1 -4.64 4.64 2.57778 2.57778 0 1 0 0 5.15556 9.80671 9.80671 0 0 0 9.79557-9.79557v-11.02304a2.57759 2.57759 0 0 0 -2.57779-2.57778zm3.0935-18.87949a3.6089 3.6089 0 1 0 3.6089 3.6089 3.60891 3.60891 0 0 0 -3.6089-3.6089zm18.04448 3.6089a3.6089 3.6089 0 1 0 -3.60889 3.60889 3.60891 3.60891 0 0 0 3.60892-3.60889z" fill="#00001b" transform="translate(-20.682205 -26.043993)"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/searchapi/searchapi.py b/api/core/tools/provider/builtin/searchapi/searchapi.py
deleted file mode 100644
index 109bba8b2d..0000000000
--- a/api/core/tools/provider/builtin/searchapi/searchapi.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.searchapi.tools.google import GoogleTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SearchAPIProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            GoogleTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"query": "SearchApi dify", "result_type": "link"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/searchapi/searchapi.yaml b/api/core/tools/provider/builtin/searchapi/searchapi.yaml
deleted file mode 100644
index c2fa3f398e..0000000000
--- a/api/core/tools/provider/builtin/searchapi/searchapi.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-identity:
-  author: SearchApi
-  name: searchapi
-  label:
-    en_US: SearchApi
-    zh_Hans: SearchApi
-    pt_BR: SearchApi
-  description:
-    en_US: SearchApi is a robust real-time SERP API delivering structured data from a collection of search engines including Google Search, Google Jobs, YouTube, Google News, and many more.
-    zh_Hans: SearchApi 是一个强大的实时 SERP API，可提供来自 Google 搜索、Google 招聘、YouTube、Google 新闻等搜索引擎集合的结构化数据。
-    pt_BR: SearchApi is a robust real-time SERP API delivering structured data from a collection of search engines including Google Search, Google Jobs, YouTube, Google News, and many more.
-  icon: icon.svg
-  tags:
-    - search
-    - business
-    - news
-    - productivity
-credentials_for_provider:
-  searchapi_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: SearchApi API key
-      zh_Hans: SearchApi API key
-      pt_BR: SearchApi API key
-    placeholder:
-      en_US: Please input your SearchApi API key
-      zh_Hans: 请输入你的 SearchApi API key
-      pt_BR: Please input your SearchApi API key
-    help:
-      en_US: Get your SearchApi API key from SearchApi
-      zh_Hans: 从 SearchApi 获取您的 SearchApi API key
-      pt_BR: Get your SearchApi API key from SearchApi
-    url: https://www.searchapi.io/
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.py b/api/core/tools/provider/builtin/searchapi/tools/google.py
deleted file mode 100644
index 29d36f5f23..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google.py
+++ /dev/null
@@ -1,112 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SEARCH_API_URL = "https://www.searchapi.io/api/v1/search"
-
-
-class SearchAPI:
-    """
-    SearchAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SearchAPI tool provider."""
-        self.searchapi_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SearchAPI and parse result."""
-        type = kwargs.get("result_type", "text")
-        return self._process_response(self.results(query, **kwargs), type=type)
-
-    def results(self, query: str, **kwargs: Any) -> dict:
-        """Run query through SearchAPI and return the raw result."""
-        params = self.get_params(query, **kwargs)
-        response = requests.get(
-            url=SEARCH_API_URL,
-            params=params,
-            headers={"Authorization": f"Bearer {self.searchapi_api_key}"},
-        )
-        response.raise_for_status()
-        return response.json()
-
-    def get_params(self, query: str, **kwargs: Any) -> dict[str, str]:
-        """Get parameters for SearchAPI."""
-        return {
-            "engine": "google",
-            "q": query,
-            **{key: value for key, value in kwargs.items() if value not in {None, ""}},
-        }
-
-    @staticmethod
-    def _process_response(res: dict, type: str) -> str:
-        """Process response from SearchAPI."""
-        if "error" in res:
-            return res["error"]
-
-        toret = ""
-        if type == "text":
-            if "answer_box" in res and "answer" in res["answer_box"]:
-                toret += res["answer_box"]["answer"] + "\n"
-            if "answer_box" in res and "snippet" in res["answer_box"]:
-                toret += res["answer_box"]["snippet"] + "\n"
-            if "knowledge_graph" in res and "description" in res["knowledge_graph"]:
-                toret += res["knowledge_graph"]["description"] + "\n"
-            if "organic_results" in res and "snippet" in res["organic_results"][0]:
-                for item in res["organic_results"]:
-                    toret += "content: " + item["snippet"] + "\n" + "link: " + item["link"] + "\n"
-            if toret == "":
-                toret = "No good search result found"
-
-        elif type == "link":
-            if "answer_box" in res and "organic_result" in res["answer_box"]:
-                if "title" in res["answer_box"]["organic_result"]:
-                    toret = (
-                        f"[{res['answer_box']['organic_result']['title']}]"
-                        f"({res['answer_box']['organic_result']['link']})\n"
-                    )
-            elif "organic_results" in res and "link" in res["organic_results"][0]:
-                toret = ""
-                for item in res["organic_results"]:
-                    toret += f"[{item['title']}]({item['link']})\n"
-            elif "related_questions" in res and "link" in res["related_questions"][0]:
-                toret = ""
-                for item in res["related_questions"]:
-                    toret += f"[{item['title']}]({item['link']})\n"
-            elif "related_searches" in res and "link" in res["related_searches"][0]:
-                toret = ""
-                for item in res["related_searches"]:
-                    toret += f"[{item['title']}]({item['link']})\n"
-            else:
-                toret = "No good search result found"
-        return toret
-
-
-class GoogleTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SearchApi tool.
-        """
-        query = tool_parameters["query"]
-        result_type = tool_parameters["result_type"]
-        num = tool_parameters.get("num", 10)
-        google_domain = tool_parameters.get("google_domain", "google.com")
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["searchapi_api_key"]
-        result = SearchAPI(api_key).run(
-            query, result_type=result_type, num=num, google_domain=google_domain, gl=gl, hl=hl, location=location
-        )
-
-        if result_type == "text":
-            return self.create_text_message(text=result)
-        return self.create_link_message(link=result)
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.yaml b/api/core/tools/provider/builtin/searchapi/tools/google.yaml
deleted file mode 100644
index 0dc1b66724..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google.yaml
+++ /dev/null
@@ -1,1921 +0,0 @@
-identity:
-  name: google_search_api
-  author: SearchApi
-  label:
-    en_US: Google Search API
-    zh_Hans: Google Search API
-description:
-  human:
-    en_US: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine.
-    zh_Hans: 一种从 Google 搜索引擎检索答案框、知识图、片段和网页的工具。
-  llm: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: link
-        label:
-          en_US: link
-          zh_Hans: 链接
-    default: text
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, text or link
-      zh_Hans: 用于选择结果类型，使用文本还是链接进行展示
-    form: form
-  - name: location
-    type: string
-    required: false
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: llm
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: AF
-        label:
-          en_US: Afghanistan
-          zh_Hans: 阿富汗
-          pt_BR: Afeganistão
-      - value: AL
-        label:
-          en_US: Albania
-          zh_Hans: 阿尔巴尼亚
-          pt_BR: Albânia
-      - value: DZ
-        label:
-          en_US: Algeria
-          zh_Hans: 阿尔及利亚
-          pt_BR: Argélia
-      - value: AS
-        label:
-          en_US: American Samoa
-          zh_Hans: 美属萨摩亚
-          pt_BR: Samoa Americana
-      - value: AD
-        label:
-          en_US: Andorra
-          zh_Hans: 安道尔
-          pt_BR: Andorra
-      - value: AO
-        label:
-          en_US: Angola
-          zh_Hans: 安哥拉
-          pt_BR: Angola
-      - value: AI
-        label:
-          en_US: Anguilla
-          zh_Hans: 安圭拉
-          pt_BR: Anguilla
-      - value: AQ
-        label:
-          en_US: Antarctica
-          zh_Hans: 南极洲
-          pt_BR: Antártica
-      - value: AG
-        label:
-          en_US: Antigua and Barbuda
-          zh_Hans: 安提瓜和巴布达
-          pt_BR: Antígua e Barbuda
-      - value: AR
-        label:
-          en_US: Argentina
-          zh_Hans: 阿根廷
-          pt_BR: Argentina
-      - value: AM
-        label:
-          en_US: Armenia
-          zh_Hans: 亚美尼亚
-          pt_BR: Armênia
-      - value: AW
-        label:
-          en_US: Aruba
-          zh_Hans: 阿鲁巴
-          pt_BR: Aruba
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Austrália
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Áustria
-      - value: AZ
-        label:
-          en_US: Azerbaijan
-          zh_Hans: 阿塞拜疆
-          pt_BR: Azerbaijão
-      - value: BS
-        label:
-          en_US: Bahamas
-          zh_Hans: 巴哈马
-          pt_BR: Bahamas
-      - value: BH
-        label:
-          en_US: Bahrain
-          zh_Hans: 巴林
-          pt_BR: Bahrein
-      - value: BD
-        label:
-          en_US: Bangladesh
-          zh_Hans: 孟加拉国
-          pt_BR: Bangladesh
-      - value: BB
-        label:
-          en_US: Barbados
-          zh_Hans: 巴巴多斯
-          pt_BR: Barbados
-      - value: BY
-        label:
-          en_US: Belarus
-          zh_Hans: 白俄罗斯
-          pt_BR: Bielorrússia
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Bélgica
-      - value: BZ
-        label:
-          en_US: Belize
-          zh_Hans: 伯利兹
-          pt_BR: Belize
-      - value: BJ
-        label:
-          en_US: Benin
-          zh_Hans: 贝宁
-          pt_BR: Benim
-      - value: BM
-        label:
-          en_US: Bermuda
-          zh_Hans: 百慕大
-          pt_BR: Bermudas
-      - value: BT
-        label:
-          en_US: Bhutan
-          zh_Hans: 不丹
-          pt_BR: Butão
-      - value: BO
-        label:
-          en_US: Bolivia
-          zh_Hans: 玻利维亚
-          pt_BR: Bolívia
-      - value: BA
-        label:
-          en_US: Bosnia and Herzegovina
-          zh_Hans: 波斯尼亚和黑塞哥维那
-          pt_BR: Bósnia e Herzegovina
-      - value: BW
-        label:
-          en_US: Botswana
-          zh_Hans: 博茨瓦纳
-          pt_BR: Botsuana
-      - value: BV
-        label:
-          en_US: Bouvet Island
-          zh_Hans: 布韦岛
-          pt_BR: Ilha Bouvet
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brasil
-      - value: IO
-        label:
-          en_US: British Indian Ocean Territory
-          zh_Hans: 英属印度洋领地
-          pt_BR: Território Britânico do Oceano Índico
-      - value: BN
-        label:
-          en_US: Brunei Darussalam
-          zh_Hans: 文莱
-          pt_BR: Brunei Darussalam
-      - value: BG
-        label:
-          en_US: Bulgaria
-          zh_Hans: 保加利亚
-          pt_BR: Bulgária
-      - value: BF
-        label:
-          en_US: Burkina Faso
-          zh_Hans: 布基纳法索
-          pt_BR: Burkina Faso
-      - value: BI
-        label:
-          en_US: Burundi
-          zh_Hans: 布隆迪
-          pt_BR: Burundi
-      - value: KH
-        label:
-          en_US: Cambodia
-          zh_Hans: 柬埔寨
-          pt_BR: Camboja
-      - value: CM
-        label:
-          en_US: Cameroon
-          zh_Hans: 喀麦隆
-          pt_BR: Camarões
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canadá
-      - value: CV
-        label:
-          en_US: Cape Verde
-          zh_Hans: 佛得角
-          pt_BR: Cabo Verde
-      - value: KY
-        label:
-          en_US: Cayman Islands
-          zh_Hans: 开曼群岛
-          pt_BR: Ilhas Cayman
-      - value: CF
-        label:
-          en_US: Central African Republic
-          zh_Hans: 中非共和国
-          pt_BR: República Centro-Africana
-      - value: TD
-        label:
-          en_US: Chad
-          zh_Hans: 乍得
-          pt_BR: Chade
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CN
-        label:
-          en_US: China
-          zh_Hans: 中国
-          pt_BR: China
-      - value: CX
-        label:
-          en_US: Christmas Island
-          zh_Hans: 圣诞岛
-          pt_BR: Ilha do Natal
-      - value: CC
-        label:
-          en_US: Cocos (Keeling) Islands
-          zh_Hans: 科科斯（基林）群岛
-          pt_BR: Ilhas Cocos (Keeling)
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colômbia
-      - value: KM
-        label:
-          en_US: Comoros
-          zh_Hans: 科摩罗
-          pt_BR: Comores
-      - value: CG
-        label:
-          en_US: Congo
-          zh_Hans: 刚果
-          pt_BR: Congo
-      - value: CD
-        label:
-          en_US: Congo, the Democratic Republic of the
-          zh_Hans: 刚果民主共和国
-          pt_BR: Congo, República Democrática do
-      - value: CK
-        label:
-          en_US: Cook Islands
-          zh_Hans: 库克群岛
-          pt_BR: Ilhas Cook
-      - value: CR
-        label:
-          en_US: Costa Rica
-          zh_Hans: 哥斯达黎加
-          pt_BR: Costa Rica
-      - value: CI
-        label:
-          en_US: Cote D'ivoire
-          zh_Hans: 科特迪瓦
-          pt_BR: Costa do Marfim
-      - value: HR
-        label:
-          en_US: Croatia
-          zh_Hans: 克罗地亚
-          pt_BR: Croácia
-      - value: CU
-        label:
-          en_US: Cuba
-          zh_Hans: 古巴
-          pt_BR: Cuba
-      - value: CY
-        label:
-          en_US: Cyprus
-          zh_Hans: 塞浦路斯
-          pt_BR: Chipre
-      - value: CZ
-        label:
-          en_US: Czech Republic
-          zh_Hans: 捷克共和国
-          pt_BR: República Tcheca
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Dinamarca
-      - value: DJ
-        label:
-          en_US: Djibouti
-          zh_Hans: 吉布提
-          pt_BR: Djibuti
-      - value: DM
-        label:
-          en_US: Dominica
-          zh_Hans: 多米尼克
-          pt_BR: Dominica
-      - value: DO
-        label:
-          en_US: Dominican Republic
-          zh_Hans: 多米尼加共和国
-          pt_BR: República Dominicana
-      - value: EC
-        label:
-          en_US: Ecuador
-          zh_Hans: 厄瓜多尔
-          pt_BR: Equador
-      - value: EG
-        label:
-          en_US: Egypt
-          zh_Hans: 埃及
-          pt_BR: Egito
-      - value: SV
-        label:
-          en_US: El Salvador
-          zh_Hans: 萨尔瓦多
-          pt_BR: El Salvador
-      - value: GQ
-        label:
-          en_US: Equatorial Guinea
-          zh_Hans: 赤道几内亚
-          pt_BR: Guiné Equatorial
-      - value: ER
-        label:
-          en_US: Eritrea
-          zh_Hans: 厄立特里亚
-          pt_BR: Eritreia
-      - value: EE
-        label:
-          en_US: Estonia
-          zh_Hans: 爱沙尼亚
-          pt_BR: Estônia
-      - value: ET
-        label:
-          en_US: Ethiopia
-          zh_Hans: 埃塞俄比亚
-          pt_BR: Etiópia
-      - value: FK
-        label:
-          en_US: Falkland Islands (Malvinas)
-          zh_Hans: 福克兰群岛（马尔维纳斯）
-          pt_BR: Ilhas Falkland (Malvinas)
-      - value: FO
-        label:
-          en_US: Faroe Islands
-          zh_Hans: 法罗群岛
-          pt_BR: Ilhas Faroe
-      - value: FJ
-        label:
-          en_US: Fiji
-          zh_Hans: 斐济
-          pt_BR: Fiji
-      - value: FI
-        label:
-          en_US: Finland
-          zh_Hans: 芬兰
-          pt_BR: Finlândia
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: França
-      - value: GF
-        label:
-          en_US: French Guiana
-          zh_Hans: 法属圭亚那
-          pt_BR: Guiana Francesa
-      - value: PF
-        label:
-          en_US: French Polynesia
-          zh_Hans: 法属波利尼西亚
-          pt_BR: Polinésia Francesa
-      - value: TF
-        label:
-          en_US: French Southern Territories
-          zh_Hans: 法属南部领地
-          pt_BR: Territórios Franceses do Sul
-      - value: GA
-        label:
-          en_US: Gabon
-          zh_Hans: 加蓬
-          pt_BR: Gabão
-      - value: GM
-        label:
-          en_US: Gambia
-          zh_Hans: 冈比亚
-          pt_BR: Gâmbia
-      - value: GE
-        label:
-          en_US: Georgia
-          zh_Hans: 格鲁吉亚
-          pt_BR: Geórgia
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Alemanha
-      - value: GH
-        label:
-          en_US: Ghana
-          zh_Hans: 加纳
-          pt_BR: Gana
-      - value: GI
-        label:
-          en_US: Gibraltar
-          zh_Hans: 直布罗陀
-          pt_BR: Gibraltar
-      - value: GR
-        label:
-          en_US: Greece
-          zh_Hans: 希腊
-          pt_BR: Grécia
-      - value: GL
-        label:
-          en_US: Greenland
-          zh_Hans: 格陵兰
-          pt_BR: Groenlândia
-      - value: GD
-        label:
-          en_US: Grenada
-          zh_Hans: 格林纳达
-          pt_BR: Granada
-      - value: GP
-        label:
-          en_US: Guadeloupe
-          zh_Hans: 瓜德罗普
-          pt_BR: Guadalupe
-      - value: GU
-        label:
-          en_US: Guam
-          zh_Hans: 关岛
-          pt_BR: Guam
-      - value: GT
-        label:
-          en_US: Guatemala
-          zh_Hans: 危地马拉
-          pt_BR: Guatemala
-      - value: GN
-        label:
-          en_US: Guinea
-          zh_Hans: 几内亚
-          pt_BR: Guiné
-      - value: GW
-        label:
-          en_US: Guinea-Bissau
-          zh_Hans: 几内亚比绍
-          pt_BR: Guiné-Bissau
-      - value: GY
-        label:
-          en_US: Guyana
-          zh_Hans: 圭亚那
-          pt_BR: Guiana
-      - value: HT
-        label:
-          en_US: Haiti
-          zh_Hans: 海地
-          pt_BR: Haiti
-      - value: HM
-        label:
-          en_US: Heard Island and McDonald Islands
-          zh_Hans: 赫德岛和麦克唐纳群岛
-          pt_BR: Ilha Heard e Ilhas McDonald
-      - value: VA
-        label:
-          en_US: Holy See (Vatican City State)
-          zh_Hans: 教廷（梵蒂冈城国）
-          pt_BR: Santa Sé (Estado da Cidade do Vaticano)
-      - value: HN
-        label:
-          en_US: Honduras
-          zh_Hans: 洪都拉斯
-          pt_BR: Honduras
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: HU
-        label:
-          en_US: Hungary
-          zh_Hans: 匈牙利
-          pt_BR: Hungria
-      - value: IS
-        label:
-          en_US: Iceland
-          zh_Hans: 冰岛
-          pt_BR: Islândia
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: Índia
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonésia
-      - value: IR
-        label:
-          en_US: Iran, Islamic Republic of
-          zh_Hans: 伊朗
-          pt_BR: Irã
-      - value: IQ
-        label:
-          en_US: Iraq
-          zh_Hans: 伊拉克
-          pt_BR: Iraque
-      - value: IE
-        label:
-          en_US: Ireland
-          zh_Hans: 爱尔兰
-          pt_BR: Irlanda
-      - value: IL
-        label:
-          en_US: Israel
-          zh_Hans: 以色列
-          pt_BR: Israel
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Itália
-      - value: JM
-        label:
-          en_US: Jamaica
-          zh_Hans: 牙买加
-          pt_BR: Jamaica
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japão
-      - value: JO
-        label:
-          en_US: Jordan
-          zh_Hans: 约旦
-          pt_BR: Jordânia
-      - value: KZ
-        label:
-          en_US: Kazakhstan
-          zh_Hans: 哈萨克斯坦
-          pt_BR: Cazaquistão
-      - value: KE
-        label:
-          en_US: Kenya
-          zh_Hans: 肯尼亚
-          pt_BR: Quênia
-      - value: KI
-        label:
-          en_US: Kiribati
-          zh_Hans: 基里巴斯
-          pt_BR: Kiribati
-      - value: KP
-        label:
-          en_US: Korea, Democratic People's Republic of
-          zh_Hans: 朝鲜
-          pt_BR: Coreia, República Democrática Popular da
-      - value: KR
-        label:
-          en_US: Korea, Republic of
-          zh_Hans: 韩国
-          pt_BR: Coreia, República da
-      - value: KW
-        label:
-          en_US: Kuwait
-          zh_Hans: 科威特
-          pt_BR: Kuwait
-      - value: KG
-        label:
-          en_US: Kyrgyzstan
-          zh_Hans: 吉尔吉斯斯坦
-          pt_BR: Quirguistão
-      - value: LA
-        label:
-          en_US: Lao People's Democratic Republic
-          zh_Hans: 老挝
-          pt_BR: República Democrática Popular do Laos
-      - value: LV
-        label:
-          en_US: Latvia
-          zh_Hans: 拉脱维亚
-          pt_BR: Letônia
-      - value: LB
-        label:
-          en_US: Lebanon
-          zh_Hans: 黎巴嫩
-          pt_BR: Líbano
-      - value: LS
-        label:
-          en_US: Lesotho
-          zh_Hans: 莱索托
-          pt_BR: Lesoto
-      - value: LR
-        label:
-          en_US: Liberia
-          zh_Hans: 利比里亚
-          pt_BR: Libéria
-      - value: LY
-        label:
-          en_US: Libyan Arab Jamahiriya
-          zh_Hans: 利比亚
-          pt_BR: Líbia
-      - value: LI
-        label:
-          en_US: Liechtenstein
-          zh_Hans: 列支敦士登
-          pt_BR: Liechtenstein
-      - value: LT
-        label:
-          en_US: Lithuania
-          zh_Hans: 立陶宛
-          pt_BR: Lituânia
-      - value: LU
-        label:
-          en_US: Luxembourg
-          zh_Hans: 卢森堡
-          pt_BR: Luxemburgo
-      - value: MO
-        label:
-          en_US: Macao
-          zh_Hans: 澳门
-          pt_BR: Macau
-      - value: MK
-        label:
-          en_US: Macedonia, the Former Yugosalv Republic of
-          zh_Hans: 前南斯拉夫马其顿共和国
-          pt_BR: Macedônia, Ex-República Iugoslava da
-      - value: MG
-        label:
-          en_US: Madagascar
-          zh_Hans: 马达加斯加
-          pt_BR: Madagascar
-      - value: MW
-        label:
-          en_US: Malawi
-          zh_Hans: 马拉维
-          pt_BR: Malaui
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malásia
-      - value: MV
-        label:
-          en_US: Maldives
-          zh_Hans: 马尔代夫
-          pt_BR: Maldivas
-      - value: ML
-        label:
-          en_US: Mali
-          zh_Hans: 马里
-          pt_BR: Mali
-      - value: MT
-        label:
-          en_US: Malta
-          zh_Hans: 马耳他
-          pt_BR: Malta
-      - value: MH
-        label:
-          en_US: Marshall Islands
-          zh_Hans: 马绍尔群岛
-          pt_BR: Ilhas Marshall
-      - value: MQ
-        label:
-          en_US: Martinique
-          zh_Hans: 马提尼克
-          pt_BR: Martinica
-      - value: MR
-        label:
-          en_US: Mauritania
-          zh_Hans: 毛里塔尼亚
-          pt_BR: Mauritânia
-      - value: MU
-        label:
-          en_US: Mauritius
-          zh_Hans: 毛里求斯
-          pt_BR: Maurício
-      - value: YT
-        label:
-          en_US: Mayotte
-          zh_Hans: 马约特
-          pt_BR: Mayotte
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: México
-      - value: FM
-        label:
-          en_US: Micronesia, Federated States of
-          zh_Hans: 密克罗尼西亚联邦
-          pt_BR: Micronésia, Estados Federados da
-      - value: MD
-        label:
-          en_US: Moldova, Republic of
-          zh_Hans: 摩尔多瓦共和国
-          pt_BR: Moldávia, República da
-      - value: MC
-        label:
-          en_US: Monaco
-          zh_Hans: 摩纳哥
-          pt_BR: Mônaco
-      - value: MN
-        label:
-          en_US: Mongolia
-          zh_Hans: 蒙古
-          pt_BR: Mongólia
-      - value: MS
-        label:
-          en_US: Montserrat
-          zh_Hans: 蒙特塞拉特
-          pt_BR: Montserrat
-      - value: MA
-        label:
-          en_US: Morocco
-          zh_Hans: 摩洛哥
-          pt_BR: Marrocos
-      - value: MZ
-        label:
-          en_US: Mozambique
-          zh_Hans: 莫桑比克
-          pt_BR: Moçambique
-      - value: MM
-        label:
-          en_US: Myanmar
-          zh_Hans: 缅甸
-          pt_BR: Mianmar
-      - value: NA
-        label:
-          en_US: Namibia
-          zh_Hans: 纳米比亚
-          pt_BR: Namíbia
-      - value: NR
-        label:
-          en_US: Nauru
-          zh_Hans: 瑙鲁
-          pt_BR: Nauru
-      - value: NP
-        label:
-          en_US: Nepal
-          zh_Hans: 尼泊尔
-          pt_BR: Nepal
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Países Baixos
-      - value: AN
-        label:
-          en_US: Netherlands Antilles
-          zh_Hans: 荷属安的列斯
-          pt_BR: Antilhas Holandesas
-      - value: NC
-        label:
-          en_US: New Caledonia
-          zh_Hans: 新喀里多尼亚
-          pt_BR: Nova Caledônia
-      - value: NZ
-        label:
-          en_US: New Zealand
-          zh_Hans: 新西兰
-          pt_BR: Nova Zelândia
-      - value: NI
-        label:
-          en_US: Nicaragua
-          zh_Hans: 尼加拉瓜
-          pt_BR: Nicarágua
-      - value: NE
-        label:
-          en_US: Niger
-          zh_Hans: 尼日尔
-          pt_BR: Níger
-      - value: NG
-        label:
-          en_US: Nigeria
-          zh_Hans: 尼日利亚
-          pt_BR: Nigéria
-      - value: NU
-        label:
-          en_US: Niue
-          zh_Hans: 纽埃
-          pt_BR: Niue
-      - value: NF
-        label:
-          en_US: Norfolk Island
-          zh_Hans: 诺福克岛
-          pt_BR: Ilha Norfolk
-      - value: MP
-        label:
-          en_US: Northern Mariana Islands
-          zh_Hans: 北马里亚纳群岛
-          pt_BR: Ilhas Marianas do Norte
-      - value: "NO"
-        label:
-          en_US: Norway
-          zh_Hans: 挪威
-          pt_BR: Noruega
-      - value: OM
-        label:
-          en_US: Oman
-          zh_Hans: 阿曼
-          pt_BR: Omã
-      - value: PK
-        label:
-          en_US: Pakistan
-          zh_Hans: 巴基斯坦
-          pt_BR: Paquistão
-      - value: PW
-        label:
-          en_US: Palau
-          zh_Hans: 帕劳
-          pt_BR: Palau
-      - value: PS
-        label:
-          en_US: Palestinian Territory, Occupied
-          zh_Hans: 巴勒斯坦领土
-          pt_BR: Palestina, Território Ocupado
-      - value: PA
-        label:
-          en_US: Panama
-          zh_Hans: 巴拿马
-          pt_BR: Panamá
-      - value: PG
-        label:
-          en_US: Papua New Guinea
-          zh_Hans: 巴布亚新几内亚
-          pt_BR: Papua Nova Guiné
-      - value: PY
-        label:
-          en_US: Paraguay
-          zh_Hans: 巴拉圭
-          pt_BR: Paraguai
-      - value: PE
-        label:
-          en_US: Peru
-          zh_Hans: 秘鲁
-          pt_BR: Peru
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Filipinas
-      - value: PN
-        label:
-          en_US: Pitcairn
-          zh_Hans: 皮特凯恩岛
-          pt_BR: Pitcairn
-      - value: PL
-        label:
-          en_US: Poland
-          zh_Hans: 波兰
-          pt_BR: Polônia
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: PR
-        label:
-          en_US: Puerto Rico
-          zh_Hans: 波多黎各
-          pt_BR: Porto Rico
-      - value: QA
-        label:
-          en_US: Qatar
-          zh_Hans: 卡塔尔
-          pt_BR: Catar
-      - value: RE
-        label:
-          en_US: Reunion
-          zh_Hans: 留尼旺
-          pt_BR: Reunião
-      - value: RO
-        label:
-          en_US: Romania
-          zh_Hans: 罗马尼亚
-          pt_BR: Romênia
-      - value: RU
-        label:
-          en_US: Russian Federation
-          zh_Hans: 俄罗斯联邦
-          pt_BR: Rússia
-      - value: RW
-        label:
-          en_US: Rwanda
-          zh_Hans: 卢旺达
-          pt_BR: Ruanda
-      - value: SH
-        label:
-          en_US: Saint Helena
-          zh_Hans: 圣赫勒拿
-          pt_BR: Santa Helena
-      - value: KN
-        label:
-          en_US: Saint Kitts and Nevis
-          zh_Hans: 圣基茨和尼维斯
-          pt_BR: São Cristóvão e Nevis
-      - value: LC
-        label:
-          en_US: Saint Lucia
-          zh_Hans: 圣卢西亚
-          pt_BR: Santa Lúcia
-      - value: PM
-        label:
-          en_US: Saint Pierre and Miquelon
-          zh_Hans: 圣皮埃尔和密克隆
-          pt_BR: São Pedro e Miquelon
-      - value: VC
-        label:
-          en_US: Saint Vincent and the Grenadines
-          zh_Hans: 圣文森特和格林纳丁斯
-          pt_BR: São Vicente e Granadinas
-      - value: WS
-        label:
-          en_US: Samoa
-          zh_Hans: 萨摩亚
-          pt_BR: Samoa
-      - value: SM
-        label:
-          en_US: San Marino
-          zh_Hans: 圣马力诺
-          pt_BR: San Marino
-      - value: ST
-        label:
-          en_US: Sao Tome and Principe
-          zh_Hans: 圣多美和普林西比
-          pt_BR: São Tomé e Príncipe
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Arábia Saudita
-      - value: SN
-        label:
-          en_US: Senegal
-          zh_Hans: 塞内加尔
-          pt_BR: Senegal
-      - value: RS
-        label:
-          en_US: Serbia and Montenegro
-          zh_Hans: 塞尔维亚和黑山
-          pt_BR: Sérvia e Montenegro
-      - value: SC
-        label:
-          en_US: Seychelles
-          zh_Hans: 塞舌尔
-          pt_BR: Seicheles
-      - value: SL
-        label:
-          en_US: Sierra Leone
-          zh_Hans: 塞拉利昂
-          pt_BR: Serra Leoa
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapura
-      - value: SK
-        label:
-          en_US: Slovakia
-          zh_Hans: 斯洛伐克
-          pt_BR: Eslováquia
-      - value: SI
-        label:
-          en_US: Slovenia
-          zh_Hans: 斯洛文尼亚
-          pt_BR: Eslovênia
-      - value: SB
-        label:
-          en_US: Solomon Islands
-          zh_Hans: 所罗门群岛
-          pt_BR: Ilhas Salomão
-      - value: SO
-        label:
-          en_US: Somalia
-          zh_Hans: 索马里
-          pt_BR: Somália
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: África do Sul
-      - value: GS
-        label:
-          en_US: South Georgia and the South Sandwich Islands
-          zh_Hans: 南乔治亚和南桑威奇群岛
-          pt_BR: Geórgia do Sul e Ilhas Sandwich do Sul
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Espanha
-      - value: LK
-        label:
-          en_US: Sri Lanka
-          zh_Hans: 斯里兰卡
-          pt_BR: Sri Lanka
-      - value: SD
-        label:
-          en_US: Sudan
-          zh_Hans: 苏丹
-          pt_BR: Sudão
-      - value: SR
-        label:
-          en_US: Suriname
-          zh_Hans: 苏里南
-          pt_BR: Suriname
-      - value: SJ
-        label:
-          en_US: Svalbard and Jan Mayen
-          zh_Hans: 斯瓦尔巴特和扬马延岛
-          pt_BR: Svalbard e Jan Mayen
-      - value: SZ
-        label:
-          en_US: Swaziland
-          zh_Hans: 斯威士兰
-          pt_BR: Essuatíni
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Suécia
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Suíça
-      - value: SY
-        label:
-          en_US: Syrian Arab Republic
-          zh_Hans: 叙利亚
-          pt_BR: Síria
-      - value: TW
-        label:
-          en_US: Taiwan, Province of China
-          zh_Hans: 台湾
-          pt_BR: Taiwan
-      - value: TJ
-        label:
-          en_US: Tajikistan
-          zh_Hans: 塔吉克斯坦
-          pt_BR: Tajiquistão
-      - value: TZ
-        label:
-          en_US: Tanzania, United Republic of
-          zh_Hans: 坦桑尼亚联合共和国
-          pt_BR: Tanzânia
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Tailândia
-      - value: TL
-        label:
-          en_US: Timor-Leste
-          zh_Hans: 东帝汶
-          pt_BR: Timor-Leste
-      - value: TG
-        label:
-          en_US: Togo
-          zh_Hans: 多哥
-          pt_BR: Togo
-      - value: TK
-        label:
-          en_US: Tokelau
-          zh_Hans: 托克劳
-          pt_BR: Toquelau
-      - value: TO
-        label:
-          en_US: Tonga
-          zh_Hans: 汤加
-          pt_BR: Tonga
-      - value: TT
-        label:
-          en_US: Trinidad and Tobago
-          zh_Hans: 特立尼达和多巴哥
-          pt_BR: Trindade e Tobago
-      - value: TN
-        label:
-          en_US: Tunisia
-          zh_Hans: 突尼斯
-          pt_BR: Tunísia
-      - value: TR
-        label:
-          en_US: Turkey
-          zh_Hans: 土耳其
-          pt_BR: Turquia
-      - value: TM
-        label:
-          en_US: Turkmenistan
-          zh_Hans: 土库曼斯坦
-          pt_BR: Turcomenistão
-      - value: TC
-        label:
-          en_US: Turks and Caicos Islands
-          zh_Hans: 特克斯和凯科斯群岛
-          pt_BR: Ilhas Turks e Caicos
-      - value: TV
-        label:
-          en_US: Tuvalu
-          zh_Hans: 图瓦卢
-          pt_BR: Tuvalu
-      - value: UG
-        label:
-          en_US: Uganda
-          zh_Hans: 乌干达
-          pt_BR: Uganda
-      - value: UA
-        label:
-          en_US: Ukraine
-          zh_Hans: 乌克兰
-          pt_BR: Ucrânia
-      - value: AE
-        label:
-          en_US: United Arab Emirates
-          zh_Hans: 阿联酋
-          pt_BR: Emirados Árabes Unidos
-      - value: UK
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: Reino Unido
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: Reino Unido
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: Estados Unidos
-      - value: UM
-        label:
-          en_US: United States Minor Outlying Islands
-          zh_Hans: 美国本土外小岛屿
-          pt_BR: Ilhas Menores Distantes dos Estados Unidos
-      - value: UY
-        label:
-          en_US: Uruguay
-          zh_Hans: 乌拉圭
-          pt_BR: Uruguai
-      - value: UZ
-        label:
-          en_US: Uzbekistan
-          zh_Hans: 乌兹别克斯坦
-          pt_BR: Uzbequistão
-      - value: VU
-        label:
-          en_US: Vanuatu
-          zh_Hans: 瓦努阿图
-          pt_BR: Vanuatu
-      - value: VE
-        label:
-          en_US: Venezuela
-          zh_Hans: 委内瑞拉
-          pt_BR: Venezuela
-      - value: VN
-        label:
-          en_US: Viet Nam
-          zh_Hans: 越南
-          pt_BR: Vietnã
-      - value: VG
-        label:
-          en_US: Virgin Islands, British
-          zh_Hans: 英属维尔京群岛
-          pt_BR: Ilhas Virgens Britânicas
-      - value: VI
-        label:
-          en_US: Virgin Islands, U.S.
-          zh_Hans: 美属维尔京群岛
-          pt_BR: Ilhas Virgens dos EUA
-      - value: WF
-        label:
-          en_US: Wallis and Futuna
-          zh_Hans: 瓦利斯和富图纳群岛
-          pt_BR: Wallis e Futuna
-      - value: EH
-        label:
-          en_US: Western Sahara
-          zh_Hans: 西撒哈拉
-          pt_BR: Saara Ocidental
-      - value: YE
-        label:
-          en_US: Yemen
-          zh_Hans: 也门
-          pt_BR: Iémen
-      - value: ZM
-        label:
-          en_US: Zambia
-          zh_Hans: 赞比亚
-          pt_BR: Zâmbia
-      - value: ZW
-        label:
-          en_US: Zimbabwe
-          zh_Hans: 津巴布韦
-          pt_BR: Zimbábue
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: af
-        label:
-          en_US: Afrikaans
-          zh_Hans: 南非语
-      - value: ak
-        label:
-          en_US: Akan
-          zh_Hans: 阿坎语
-      - value: sq
-        label:
-          en_US: Albanian
-          zh_Hans: 阿尔巴尼亚语
-      - value: ws
-        label:
-          en_US: Samoa
-          zh_Hans: 萨摩亚语
-      - value: am
-        label:
-          en_US: Amharic
-          zh_Hans: 阿姆哈拉语
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: hy
-        label:
-          en_US: Armenian
-          zh_Hans: 亚美尼亚语
-      - value: az
-        label:
-          en_US: Azerbaijani
-          zh_Hans: 阿塞拜疆语
-      - value: eu
-        label:
-          en_US: Basque
-          zh_Hans: 巴斯克语
-      - value: be
-        label:
-          en_US: Belarusian
-          zh_Hans: 白俄罗斯语
-      - value: bem
-        label:
-          en_US: Bemba
-          zh_Hans: 班巴语
-      - value: bn
-        label:
-          en_US: Bengali
-          zh_Hans: 孟加拉语
-      - value: bh
-        label:
-          en_US: Bihari
-          zh_Hans: 比哈尔语
-      - value: xx-bork
-        label:
-          en_US: Bork, bork, bork!
-          zh_Hans: 博克语
-      - value: bs
-        label:
-          en_US: Bosnian
-          zh_Hans: 波斯尼亚语
-      - value: br
-        label:
-          en_US: Breton
-          zh_Hans: 布列塔尼语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: bt
-        label:
-          en_US: Bhutanese
-          zh_Hans: 不丹语
-      - value: km
-        label:
-          en_US: Cambodian
-          zh_Hans: 高棉语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: chr
-        label:
-          en_US: Cherokee
-          zh_Hans: 切罗基语
-      - value: ny
-        label:
-          en_US: Chichewa
-          zh_Hans: 齐切瓦语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: co
-        label:
-          en_US: Corsican
-          zh_Hans: 科西嘉语
-      - value: hr
-        label:
-          en_US: Croatian
-          zh_Hans: 克罗地亚语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: xx-elmer
-        label:
-          en_US: Elmer Fudd
-          zh_Hans: 艾尔默福德语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: eo
-        label:
-          en_US: Esperanto
-          zh_Hans: 世界语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: ee
-        label:
-          en_US: Ewe
-          zh_Hans: 埃维语
-      - value: fo
-        label:
-          en_US: Faroese
-          zh_Hans: 法罗语
-      - value: tl
-        label:
-          en_US: Filipino
-          zh_Hans: 菲律宾语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: fy
-        label:
-          en_US: Frisian
-          zh_Hans: 弗里西亚语
-      - value: gaa
-        label:
-          en_US: Ga
-          zh_Hans: 加语
-      - value: gl
-        label:
-          en_US: Galician
-          zh_Hans: 加利西亚语
-      - value: ka
-        label:
-          en_US: Georgian
-          zh_Hans: 格鲁吉亚语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: kl
-        label:
-          en_US: Greenlandic
-          zh_Hans: 格陵兰语
-      - value: gn
-        label:
-          en_US: Guarani
-          zh_Hans: 瓜拉尼语
-      - value: gu
-        label:
-          en_US: Gujarati
-          zh_Hans: 古吉拉特语
-      - value: xx-hacker
-        label:
-          en_US: Hacker
-          zh_Hans: 黑客语
-      - value: ht
-        label:
-          en_US: Haitian Creole
-          zh_Hans: 海地克里奥尔语
-      - value: ha
-        label:
-          en_US: Hausa
-          zh_Hans: 豪萨语
-      - value: haw
-        label:
-          en_US: Hawaiian
-          zh_Hans: 夏威夷语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: is
-        label:
-          en_US: Icelandic
-          zh_Hans: 冰岛语
-      - value: ig
-        label:
-          en_US: Igbo
-          zh_Hans: 伊博语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: ia
-        label:
-          en_US: Interlingua
-          zh_Hans: 国际语
-      - value: ga
-        label:
-          en_US: Irish
-          zh_Hans: 爱尔兰语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: jw
-        label:
-          en_US: Javanese
-          zh_Hans: 爪哇语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: kk
-        label:
-          en_US: Kazakh
-          zh_Hans: 哈萨克语
-      - value: rw
-        label:
-          en_US: Kinyarwanda
-          zh_Hans: 基尼亚卢旺达语
-      - value: rn
-        label:
-          en_US: Kirundi
-          zh_Hans: 基隆迪语
-      - value: xx-klingon
-        label:
-          en_US: Klingon
-          zh_Hans: 克林贡语
-      - value: kg
-        label:
-          en_US: Kongo
-          zh_Hans: 刚果语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: kri
-        label:
-          en_US: Krio (Sierra Leone)
-          zh_Hans: 塞拉利昂克里奥尔语
-      - value: ku
-        label:
-          en_US: Kurdish
-          zh_Hans: 库尔德语
-      - value: ckb
-        label:
-          en_US: Kurdish (Soranî)
-          zh_Hans: 库尔德语（索拉尼）
-      - value: ky
-        label:
-          en_US: Kyrgyz
-          zh_Hans: 吉尔吉斯语
-      - value: lo
-        label:
-          en_US: Laothian
-          zh_Hans: 老挝语
-      - value: la
-        label:
-          en_US: Latin
-          zh_Hans: 拉丁语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: ln
-        label:
-          en_US: Lingala
-          zh_Hans: 林加拉语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: loz
-        label:
-          en_US: Lozi
-          zh_Hans: 洛齐语
-      - value: lg
-        label:
-          en_US: Luganda
-          zh_Hans: 卢干达语
-      - value: ach
-        label:
-          en_US: Luo
-          zh_Hans: 卢奥语
-      - value: mk
-        label:
-          en_US: Macedonian
-          zh_Hans: 马其顿语
-      - value: mg
-        label:
-          en_US: Malagasy
-          zh_Hans: 马尔加什语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mt
-        label:
-          en_US: Maltese
-          zh_Hans: 马耳他语
-      - value: mv
-        label:
-          en_US: Maldives
-          zh_Hans: 马尔代夫语
-      - value: mi
-        label:
-          en_US: Maori
-          zh_Hans: 毛利语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: mfe
-        label:
-          en_US: Mauritian Creole
-          zh_Hans: 毛里求斯克里奥尔语
-      - value: mo
-        label:
-          en_US: Moldavian
-          zh_Hans: 摩尔达维亚语
-      - value: mn
-        label:
-          en_US: Mongolian
-          zh_Hans: 蒙古语
-      - value: sr-me
-        label:
-          en_US: Montenegrin
-          zh_Hans: 黑山语
-      - value: ne
-        label:
-          en_US: Nepali
-          zh_Hans: 尼泊尔语
-      - value: pcm
-        label:
-          en_US: Nigerian Pidgin
-          zh_Hans: 尼日利亚皮钦语
-      - value: nso
-        label:
-          en_US: Northern Sotho
-          zh_Hans: 北索托语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: nn
-        label:
-          en_US: Norwegian (Nynorsk)
-          zh_Hans: 挪威语（尼诺斯克语）
-      - value: oc
-        label:
-          en_US: Occitan
-          zh_Hans: 奥克语
-      - value: or
-        label:
-          en_US: Oriya
-          zh_Hans: 奥里亚语
-      - value: om
-        label:
-          en_US: Oromo
-          zh_Hans: 奥罗莫语
-      - value: ps
-        label:
-          en_US: Pashto
-          zh_Hans: 普什图语
-      - value: fa
-        label:
-          en_US: Persian
-          zh_Hans: 波斯语
-      - value: xx-pirate
-        label:
-          en_US: Pirate
-          zh_Hans: 海盗语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: qu
-        label:
-          en_US: Quechua
-          zh_Hans: 克丘亚语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: rm
-        label:
-          en_US: Romansh
-          zh_Hans: 罗曼什语
-      - value: nyn
-        label:
-          en_US: Runyakitara
-          zh_Hans: 卢尼亚基塔拉语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: gd
-        label:
-          en_US: Scots Gaelic
-          zh_Hans: 苏格兰盖尔语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sh
-        label:
-          en_US: Serbo-Croatian
-          zh_Hans: 塞尔维亚-克罗地亚语
-      - value: st
-        label:
-          en_US: Sesotho
-          zh_Hans: 塞索托语
-      - value: tn
-        label:
-          en_US: Setswana
-          zh_Hans: 塞茨瓦纳语
-      - value: crs
-        label:
-          en_US: Seychellois Creole
-          zh_Hans: 塞舌尔克里奥尔语
-      - value: sn
-        label:
-          en_US: Shona
-          zh_Hans: 绍纳语
-      - value: sd
-        label:
-          en_US: Sindhi
-          zh_Hans: 信德语
-      - value: si
-        label:
-          en_US: Sinhalese
-          zh_Hans: 僧伽罗语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: so
-        label:
-          en_US: Somali
-          zh_Hans: 索马里语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: es-419
-        label:
-          en_US: Spanish (Latin American)
-          zh_Hans: 西班牙语（拉丁美洲）
-      - value: su
-        label:
-          en_US: Sundanese
-          zh_Hans: 巽他语
-      - value: sw
-        label:
-          en_US: Swahili
-          zh_Hans: 斯瓦希里语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: tg
-        label:
-          en_US: Tajik
-          zh_Hans: 塔吉克语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: tt
-        label:
-          en_US: Tatar
-          zh_Hans: 鞑靼语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: ti
-        label:
-          en_US: Tigrinya
-          zh_Hans: 提格利尼亚语
-      - value: to
-        label:
-          en_US: Tonga
-          zh_Hans: 汤加语
-      - value: lua
-        label:
-          en_US: Tshiluba
-          zh_Hans: 卢巴语
-      - value: tum
-        label:
-          en_US: Tumbuka
-          zh_Hans: 图布卡语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: tk
-        label:
-          en_US: Turkmen
-          zh_Hans: 土库曼语
-      - value: tw
-        label:
-          en_US: Twi
-          zh_Hans: 契维语
-      - value: ug
-        label:
-          en_US: Uighur
-          zh_Hans: 维吾尔语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: ur
-        label:
-          en_US: Urdu
-          zh_Hans: 乌尔都语
-      - value: uz
-        label:
-          en_US: Uzbek
-          zh_Hans: 乌兹别克语
-      - value: vu
-        label:
-          en_US: Vanuatu
-          zh_Hans: 瓦努阿图语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-      - value: cy
-        label:
-          en_US: Welsh
-          zh_Hans: 威尔士语
-      - value: wo
-        label:
-          en_US: Wolof
-          zh_Hans: 沃洛夫语
-      - value: xh
-        label:
-          en_US: Xhosa
-          zh_Hans: 科萨语
-      - value: yi
-        label:
-          en_US: Yiddish
-          zh_Hans: 意第绪语
-      - value: yo
-        label:
-          en_US: Yoruba
-          zh_Hans: 约鲁巴语
-      - value: zu
-        label:
-          en_US: Zulu
-          zh_Hans: 祖鲁语
-  - name: google_domain
-    type: string
-    required: false
-    label:
-      en_US: google_domain
-      zh_Hans: google_domain
-    human_description:
-      en_US: Defines the Google domain of the search. Default is "google.com".
-      zh_Hans: 定义搜索的 Google 域。默认为“google.com”。
-    llm_description: Defines Google domain in which you want to search.
-    form: llm
-  - name: num
-    type: number
-    required: false
-    label:
-      en_US: num
-      zh_Hans: num
-    human_description:
-      en_US: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1.
-      zh_Hans: 指定每页显示的结果数。默认值为 10。最大数量 - 100，最小数量 - 1。
-    llm_description: Specifies the num of results to display per page.
-    form: llm
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py
deleted file mode 100644
index de42360898..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py
+++ /dev/null
@@ -1,102 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SEARCH_API_URL = "https://www.searchapi.io/api/v1/search"
-
-
-class SearchAPI:
-    """
-    SearchAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SearchAPI tool provider."""
-        self.searchapi_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SearchAPI and parse result."""
-        type = kwargs.get("result_type", "text")
-        return self._process_response(self.results(query, **kwargs), type=type)
-
-    def results(self, query: str, **kwargs: Any) -> dict:
-        """Run query through SearchAPI and return the raw result."""
-        params = self.get_params(query, **kwargs)
-        response = requests.get(
-            url=SEARCH_API_URL,
-            params=params,
-            headers={"Authorization": f"Bearer {self.searchapi_api_key}"},
-        )
-        response.raise_for_status()
-        return response.json()
-
-    def get_params(self, query: str, **kwargs: Any) -> dict[str, str]:
-        """Get parameters for SearchAPI."""
-        return {
-            "engine": "google_jobs",
-            "q": query,
-            **{key: value for key, value in kwargs.items() if value not in {None, ""}},
-        }
-
-    @staticmethod
-    def _process_response(res: dict, type: str) -> str:
-        """Process response from SearchAPI."""
-        if "error" in res:
-            return res["error"]
-
-        toret = ""
-        if type == "text":
-            if "jobs" in res and "title" in res["jobs"][0]:
-                for item in res["jobs"]:
-                    toret += (
-                        "title: "
-                        + item["title"]
-                        + "\n"
-                        + "company_name: "
-                        + item["company_name"]
-                        + "content: "
-                        + item["description"]
-                        + "\n"
-                    )
-            if toret == "":
-                toret = "No good search result found"
-
-        elif type == "link":
-            if "jobs" in res and "apply_link" in res["jobs"][0]:
-                for item in res["jobs"]:
-                    toret += f"[{item['title']} - {item['company_name']}]({item['apply_link']})\n"
-            else:
-                toret = "No good search result found"
-        return toret
-
-
-class GoogleJobsTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SearchApi tool.
-        """
-        query = tool_parameters["query"]
-        result_type = tool_parameters["result_type"]
-        is_remote = tool_parameters.get("is_remote")
-        google_domain = tool_parameters.get("google_domain", "google.com")
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        ltype = 1 if is_remote else None
-
-        api_key = self.runtime.credentials["searchapi_api_key"]
-        result = SearchAPI(api_key).run(
-            query, result_type=result_type, google_domain=google_domain, gl=gl, hl=hl, location=location, ltype=ltype
-        )
-
-        if result_type == "text":
-            return self.create_text_message(text=result)
-        return self.create_link_message(link=result)
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml
deleted file mode 100644
index 3e00e20fbd..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml
+++ /dev/null
@@ -1,1403 +0,0 @@
-identity:
-  name: google_jobs_api
-  author: SearchApi
-  label:
-    en_US: Google Jobs API
-    zh_Hans: Google Jobs API
-description:
-  human:
-    en_US: A tool to retrieve job titles, company names and description from Google Jobs engine.
-    zh_Hans: 一个从 Google 招聘引擎检索职位名称、公司名称和描述的工具。
-  llm: A tool to retrieve job titles, company names and description from Google Jobs engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: link
-        label:
-          en_US: link
-          zh_Hans: 链接
-    default: text
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, text or link
-      zh_Hans: 用于选择结果类型，使用文本还是链接进行展示
-    form: form
-  - name: location
-    type: string
-    required: false
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: llm
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: DZ
-        label:
-          en_US: Algeria
-          zh_Hans: 阿尔及利亚
-          pt_BR: Algeria
-      - value: AS
-        label:
-          en_US: American Samoa
-          zh_Hans: 美属萨摩亚
-          pt_BR: American Samoa
-      - value: AO
-        label:
-          en_US: Angola
-          zh_Hans: 安哥拉
-          pt_BR: Angola
-      - value: AI
-        label:
-          en_US: Anguilla
-          zh_Hans: 安圭拉
-          pt_BR: Anguilla
-      - value: AG
-        label:
-          en_US: Antigua and Barbuda
-          zh_Hans: 安提瓜和巴布达
-          pt_BR: Antigua and Barbuda
-      - value: AW
-        label:
-          en_US: Aruba
-          zh_Hans: 阿鲁巴
-          pt_BR: Aruba
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Austria
-      - value: BS
-        label:
-          en_US: Bahamas
-          zh_Hans: 巴哈马
-          pt_BR: Bahamas
-      - value: BH
-        label:
-          en_US: Bahrain
-          zh_Hans: 巴林
-          pt_BR: Bahrain
-      - value: BD
-        label:
-          en_US: Bangladesh
-          zh_Hans: 孟加拉国
-          pt_BR: Bangladesh
-      - value: BY
-        label:
-          en_US: Belarus
-          zh_Hans: 白俄罗斯
-          pt_BR: Belarus
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Belgium
-      - value: BZ
-        label:
-          en_US: Belize
-          zh_Hans: 伯利兹
-          pt_BR: Belize
-      - value: BJ
-        label:
-          en_US: Benin
-          zh_Hans: 贝宁
-          pt_BR: Benin
-      - value: BM
-        label:
-          en_US: Bermuda
-          zh_Hans: 百慕大
-          pt_BR: Bermuda
-      - value: BO
-        label:
-          en_US: Bolivia
-          zh_Hans: 玻利维亚
-          pt_BR: Bolivia
-      - value: BW
-        label:
-          en_US: Botswana
-          zh_Hans: 博茨瓦纳
-          pt_BR: Botswana
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: IO
-        label:
-          en_US: British Indian Ocean Territory
-          zh_Hans: 英属印度洋领地
-          pt_BR: British Indian Ocean Territory
-      - value: BF
-        label:
-          en_US: Burkina Faso
-          zh_Hans: 布基纳法索
-          pt_BR: Burkina Faso
-      - value: BI
-        label:
-          en_US: Burundi
-          zh_Hans: 布隆迪
-          pt_BR: Burundi
-      - value: CM
-        label:
-          en_US: Cameroon
-          zh_Hans: 喀麦隆
-          pt_BR: Cameroon
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: CV
-        label:
-          en_US: Cape Verde
-          zh_Hans: 佛得角
-          pt_BR: Cape Verde
-      - value: KY
-        label:
-          en_US: Cayman Islands
-          zh_Hans: 开曼群岛
-          pt_BR: Cayman Islands
-      - value: CF
-        label:
-          en_US: Central African Republic
-          zh_Hans: 中非共和国
-          pt_BR: Central African Republic
-      - value: TD
-        label:
-          en_US: Chad
-          zh_Hans: 乍得
-          pt_BR: Chad
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colombia
-      - value: CD
-        label:
-          en_US: Congo, the Democratic Republic of the
-          zh_Hans: 刚果民主共和国
-          pt_BR: Congo, the Democratic Republic of the
-      - value: CR
-        label:
-          en_US: Costa Rica
-          zh_Hans: 哥斯达黎加
-          pt_BR: Costa Rica
-      - value: CI
-        label:
-          en_US: Cote D'ivoire
-          zh_Hans: 科特迪瓦
-          pt_BR: Cote D'ivoire
-      - value: CU
-        label:
-          en_US: Cuba
-          zh_Hans: 古巴
-          pt_BR: Cuba
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Denmark
-      - value: DJ
-        label:
-          en_US: Djibouti
-          zh_Hans: 吉布提
-          pt_BR: Djibouti
-      - value: DM
-        label:
-          en_US: Dominica
-          zh_Hans: 多米尼克
-          pt_BR: Dominica
-      - value: DO
-        label:
-          en_US: Dominican Republic
-          zh_Hans: 多米尼加共和国
-          pt_BR: Dominican Republic
-      - value: EC
-        label:
-          en_US: Ecuador
-          zh_Hans: 厄瓜多尔
-          pt_BR: Ecuador
-      - value: EG
-        label:
-          en_US: Egypt
-          zh_Hans: 埃及
-          pt_BR: Egypt
-      - value: SV
-        label:
-          en_US: El Salvador
-          zh_Hans: 萨尔瓦多
-          pt_BR: El Salvador
-      - value: ET
-        label:
-          en_US: Ethiopia
-          zh_Hans: 埃塞俄比亚
-          pt_BR: Ethiopia
-      - value: FK
-        label:
-          en_US: Falkland Islands (Malvinas)
-          zh_Hans: 福克兰群岛（马尔维纳斯）
-          pt_BR: Falkland Islands (Malvinas)
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GF
-        label:
-          en_US: French Guiana
-          zh_Hans: 法属圭亚那
-          pt_BR: French Guiana
-      - value: PF
-        label:
-          en_US: French Polynesia
-          zh_Hans: 法属波利尼西亚
-          pt_BR: French Polynesia
-      - value: TF
-        label:
-          en_US: French Southern Territories
-          zh_Hans: 法属南部领地
-          pt_BR: French Southern Territories
-      - value: GA
-        label:
-          en_US: Gabon
-          zh_Hans: 加蓬
-          pt_BR: Gabon
-      - value: GM
-        label:
-          en_US: Gambia
-          zh_Hans: 冈比亚
-          pt_BR: Gambia
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: GH
-        label:
-          en_US: Ghana
-          zh_Hans: 加纳
-          pt_BR: Ghana
-      - value: GR
-        label:
-          en_US: Greece
-          zh_Hans: 希腊
-          pt_BR: Greece
-      - value: GP
-        label:
-          en_US: Guadeloupe
-          zh_Hans: 瓜德罗普
-          pt_BR: Guadeloupe
-      - value: GT
-        label:
-          en_US: Guatemala
-          zh_Hans: 危地马拉
-          pt_BR: Guatemala
-      - value: GY
-        label:
-          en_US: Guyana
-          zh_Hans: 圭亚那
-          pt_BR: Guyana
-      - value: HT
-        label:
-          en_US: Haiti
-          zh_Hans: 海地
-          pt_BR: Haiti
-      - value: HN
-        label:
-          en_US: Honduras
-          zh_Hans: 洪都拉斯
-          pt_BR: Honduras
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonesia
-      - value: IQ
-        label:
-          en_US: Iraq
-          zh_Hans: 伊拉克
-          pt_BR: Iraq
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Italy
-      - value: JM
-        label:
-          en_US: Jamaica
-          zh_Hans: 牙买加
-          pt_BR: Jamaica
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: JO
-        label:
-          en_US: Jordan
-          zh_Hans: 约旦
-          pt_BR: Jordan
-      - value: KZ
-        label:
-          en_US: Kazakhstan
-          zh_Hans: 哈萨克斯坦
-          pt_BR: Kazakhstan
-      - value: KE
-        label:
-          en_US: Kenya
-          zh_Hans: 肯尼亚
-          pt_BR: Kenya
-      - value: KW
-        label:
-          en_US: Kuwait
-          zh_Hans: 科威特
-          pt_BR: Kuwait
-      - value: KG
-        label:
-          en_US: Kyrgyzstan
-          zh_Hans: 吉尔吉斯斯坦
-          pt_BR: Kyrgyzstan
-      - value: LB
-        label:
-          en_US: Lebanon
-          zh_Hans: 黎巴嫩
-          pt_BR: Lebanon
-      - value: LS
-        label:
-          en_US: Lesotho
-          zh_Hans: 莱索托
-          pt_BR: Lesotho
-      - value: LY
-        label:
-          en_US: Libyan Arab Jamahiriya
-          zh_Hans: 利比亚
-          pt_BR: Libyan Arab Jamahiriya
-      - value: MG
-        label:
-          en_US: Madagascar
-          zh_Hans: 马达加斯加
-          pt_BR: Madagascar
-      - value: MW
-        label:
-          en_US: Malawi
-          zh_Hans: 马拉维
-          pt_BR: Malawi
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malaysia
-      - value: ML
-        label:
-          en_US: Mali
-          zh_Hans: 马里
-          pt_BR: Mali
-      - value: MQ
-        label:
-          en_US: Martinique
-          zh_Hans: 马提尼克
-          pt_BR: Martinique
-      - value: MU
-        label:
-          en_US: Mauritius
-          zh_Hans: 毛里求斯
-          pt_BR: Mauritius
-      - value: YT
-        label:
-          en_US: Mayotte
-          zh_Hans: 马约特
-          pt_BR: Mayotte
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: Mexico
-      - value: MS
-        label:
-          en_US: Montserrat
-          zh_Hans: 蒙特塞拉特
-          pt_BR: Montserrat
-      - value: MA
-        label:
-          en_US: Morocco
-          zh_Hans: 摩洛哥
-          pt_BR: Morocco
-      - value: MZ
-        label:
-          en_US: Mozambique
-          zh_Hans: 莫桑比克
-          pt_BR: Mozambique
-      - value: NA
-        label:
-          en_US: Namibia
-          zh_Hans: 纳米比亚
-          pt_BR: Namibia
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Netherlands
-      - value: NC
-        label:
-          en_US: New Caledonia
-          zh_Hans: 新喀里多尼亚
-          pt_BR: New Caledonia
-      - value: NI
-        label:
-          en_US: Nicaragua
-          zh_Hans: 尼加拉瓜
-          pt_BR: Nicaragua
-      - value: NE
-        label:
-          en_US: Niger
-          zh_Hans: 尼日尔
-          pt_BR: Niger
-      - value: NG
-        label:
-          en_US: Nigeria
-          zh_Hans: 尼日利亚
-          pt_BR: Nigeria
-      - value: OM
-        label:
-          en_US: Oman
-          zh_Hans: 阿曼
-          pt_BR: Oman
-      - value: PK
-        label:
-          en_US: Pakistan
-          zh_Hans: 巴基斯坦
-          pt_BR: Pakistan
-      - value: PS
-        label:
-          en_US: Palestinian Territory, Occupied
-          zh_Hans: 巴勒斯坦领土
-          pt_BR: Palestinian Territory, Occupied
-      - value: PA
-        label:
-          en_US: Panama
-          zh_Hans: 巴拿马
-          pt_BR: Panama
-      - value: PY
-        label:
-          en_US: Paraguay
-          zh_Hans: 巴拉圭
-          pt_BR: Paraguay
-      - value: PE
-        label:
-          en_US: Peru
-          zh_Hans: 秘鲁
-          pt_BR: Peru
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Philippines
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: PR
-        label:
-          en_US: Puerto Rico
-          zh_Hans: 波多黎各
-          pt_BR: Puerto Rico
-      - value: QA
-        label:
-          en_US: Qatar
-          zh_Hans: 卡塔尔
-          pt_BR: Qatar
-      - value: RE
-        label:
-          en_US: Reunion
-          zh_Hans: 留尼旺
-          pt_BR: Reunion
-      - value: RU
-        label:
-          en_US: Russian Federation
-          zh_Hans: 俄罗斯联邦
-          pt_BR: Russian Federation
-      - value: RW
-        label:
-          en_US: Rwanda
-          zh_Hans: 卢旺达
-          pt_BR: Rwanda
-      - value: SH
-        label:
-          en_US: Saint Helena
-          zh_Hans: 圣赫勒拿
-          pt_BR: Saint Helena
-      - value: PM
-        label:
-          en_US: Saint Pierre and Miquelon
-          zh_Hans: 圣皮埃尔和密克隆
-          pt_BR: Saint Pierre and Miquelon
-      - value: VC
-        label:
-          en_US: Saint Vincent and the Grenadines
-          zh_Hans: 圣文森特和格林纳丁斯
-          pt_BR: Saint Vincent and the Grenadines
-      - value: ST
-        label:
-          en_US: Sao Tome and Principe
-          zh_Hans: 圣多美和普林西比
-          pt_BR: Sao Tome and Principe
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Saudi Arabia
-      - value: SN
-        label:
-          en_US: Senegal
-          zh_Hans: 塞内加尔
-          pt_BR: Senegal
-      - value: SC
-        label:
-          en_US: Seychelles
-          zh_Hans: 塞舌尔
-          pt_BR: Seychelles
-      - value: SL
-        label:
-          en_US: Sierra Leone
-          zh_Hans: 塞拉利昂
-          pt_BR: Sierra Leone
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: SO
-        label:
-          en_US: Somalia
-          zh_Hans: 索马里
-          pt_BR: Somalia
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: South Africa
-      - value: GS
-        label:
-          en_US: South Georgia and the South Sandwich Islands
-          zh_Hans: 南乔治亚和南桑威奇群岛
-          pt_BR: South Georgia and the South Sandwich Islands
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Spain
-      - value: LK
-        label:
-          en_US: Sri Lanka
-          zh_Hans: 斯里兰卡
-          pt_BR: Sri Lanka
-      - value: SR
-        label:
-          en_US: Suriname
-          zh_Hans: 苏里南
-          pt_BR: Suriname
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Switzerland
-      - value: TW
-        label:
-          en_US: Taiwan, Province of China
-          zh_Hans: 中国台湾省
-          pt_BR: Taiwan, Province of China
-      - value: TZ
-        label:
-          en_US: Tanzania, United Republic of
-          zh_Hans: 坦桑尼亚联合共和国
-          pt_BR: Tanzania, United Republic of
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Thailand
-      - value: TG
-        label:
-          en_US: Togo
-          zh_Hans: 多哥
-          pt_BR: Togo
-      - value: TT
-        label:
-          en_US: Trinidad and Tobago
-          zh_Hans: 特立尼达和多巴哥
-          pt_BR: Trinidad and Tobago
-      - value: TN
-        label:
-          en_US: Tunisia
-          zh_Hans: 突尼斯
-          pt_BR: Tunisia
-      - value: TC
-        label:
-          en_US: Turks and Caicos Islands
-          zh_Hans: 特克斯和凯科斯群岛
-          pt_BR: Turks and Caicos Islands
-      - value: UG
-        label:
-          en_US: Uganda
-          zh_Hans: 乌干达
-          pt_BR: Uganda
-      - value: AE
-        label:
-          en_US: United Arab Emirates
-          zh_Hans: 阿联酋
-          pt_BR: United Arab Emirates
-      - value: UK
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-      - value: UY
-        label:
-          en_US: Uruguay
-          zh_Hans: 乌拉圭
-          pt_BR: Uruguay
-      - value: UZ
-        label:
-          en_US: Uzbekistan
-          zh_Hans: 乌兹别克斯坦
-          pt_BR: Uzbekistan
-      - value: VE
-        label:
-          en_US: Venezuela
-          zh_Hans: 委内瑞拉
-          pt_BR: Venezuela
-      - value: VN
-        label:
-          en_US: Viet Nam
-          zh_Hans: 越南
-          pt_BR: Viet Nam
-      - value: VG
-        label:
-          en_US: Virgin Islands, British
-          zh_Hans: 英属维尔京群岛
-          pt_BR: Virgin Islands, British
-      - value: VI
-        label:
-          en_US: Virgin Islands, U.S.
-          zh_Hans: 美属维尔京群岛
-          pt_BR: Virgin Islands, U.S.
-      - value: ZM
-        label:
-          en_US: Zambia
-          zh_Hans: 赞比亚
-          pt_BR: Zambia
-      - value: ZW
-        label:
-          en_US: Zimbabwe
-          zh_Hans: 津巴布韦
-          pt_BR: Zimbabwe
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: af
-        label:
-          en_US: Afrikaans
-          zh_Hans: 南非语
-      - value: ak
-        label:
-          en_US: Akan
-          zh_Hans: 阿坎语
-      - value: sq
-        label:
-          en_US: Albanian
-          zh_Hans: 阿尔巴尼亚语
-      - value: ws
-        label:
-          en_US: Samoa
-          zh_Hans: 萨摩亚语
-      - value: am
-        label:
-          en_US: Amharic
-          zh_Hans: 阿姆哈拉语
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: hy
-        label:
-          en_US: Armenian
-          zh_Hans: 亚美尼亚语
-      - value: az
-        label:
-          en_US: Azerbaijani
-          zh_Hans: 阿塞拜疆语
-      - value: eu
-        label:
-          en_US: Basque
-          zh_Hans: 巴斯克语
-      - value: be
-        label:
-          en_US: Belarusian
-          zh_Hans: 白俄罗斯语
-      - value: bem
-        label:
-          en_US: Bemba
-          zh_Hans: 班巴语
-      - value: bn
-        label:
-          en_US: Bengali
-          zh_Hans: 孟加拉语
-      - value: bh
-        label:
-          en_US: Bihari
-          zh_Hans: 比哈尔语
-      - value: xx-bork
-        label:
-          en_US: Bork, bork, bork!
-          zh_Hans: 博克语
-      - value: bs
-        label:
-          en_US: Bosnian
-          zh_Hans: 波斯尼亚语
-      - value: br
-        label:
-          en_US: Breton
-          zh_Hans: 布列塔尼语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: bt
-        label:
-          en_US: Bhutanese
-          zh_Hans: 不丹语
-      - value: km
-        label:
-          en_US: Cambodian
-          zh_Hans: 高棉语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: chr
-        label:
-          en_US: Cherokee
-          zh_Hans: 切罗基语
-      - value: ny
-        label:
-          en_US: Chichewa
-          zh_Hans: 齐切瓦语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: co
-        label:
-          en_US: Corsican
-          zh_Hans: 科西嘉语
-      - value: hr
-        label:
-          en_US: Croatian
-          zh_Hans: 克罗地亚语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: xx-elmer
-        label:
-          en_US: Elmer Fudd
-          zh_Hans: 艾尔默福德语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: eo
-        label:
-          en_US: Esperanto
-          zh_Hans: 世界语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: ee
-        label:
-          en_US: Ewe
-          zh_Hans: 埃维语
-      - value: fo
-        label:
-          en_US: Faroese
-          zh_Hans: 法罗语
-      - value: tl
-        label:
-          en_US: Filipino
-          zh_Hans: 菲律宾语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: fy
-        label:
-          en_US: Frisian
-          zh_Hans: 弗里西亚语
-      - value: gaa
-        label:
-          en_US: Ga
-          zh_Hans: 加语
-      - value: gl
-        label:
-          en_US: Galician
-          zh_Hans: 加利西亚语
-      - value: ka
-        label:
-          en_US: Georgian
-          zh_Hans: 格鲁吉亚语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: kl
-        label:
-          en_US: Greenlandic
-          zh_Hans: 格陵兰语
-      - value: gn
-        label:
-          en_US: Guarani
-          zh_Hans: 瓜拉尼语
-      - value: gu
-        label:
-          en_US: Gujarati
-          zh_Hans: 古吉拉特语
-      - value: xx-hacker
-        label:
-          en_US: Hacker
-          zh_Hans: 黑客语
-      - value: ht
-        label:
-          en_US: Haitian Creole
-          zh_Hans: 海地克里奥尔语
-      - value: ha
-        label:
-          en_US: Hausa
-          zh_Hans: 豪萨语
-      - value: haw
-        label:
-          en_US: Hawaiian
-          zh_Hans: 夏威夷语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: is
-        label:
-          en_US: Icelandic
-          zh_Hans: 冰岛语
-      - value: ig
-        label:
-          en_US: Igbo
-          zh_Hans: 伊博语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: ia
-        label:
-          en_US: Interlingua
-          zh_Hans: 国际语
-      - value: ga
-        label:
-          en_US: Irish
-          zh_Hans: 爱尔兰语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: jw
-        label:
-          en_US: Javanese
-          zh_Hans: 爪哇语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: kk
-        label:
-          en_US: Kazakh
-          zh_Hans: 哈萨克语
-      - value: rw
-        label:
-          en_US: Kinyarwanda
-          zh_Hans: 基尼亚卢旺达语
-      - value: rn
-        label:
-          en_US: Kirundi
-          zh_Hans: 基隆迪语
-      - value: xx-klingon
-        label:
-          en_US: Klingon
-          zh_Hans: 克林贡语
-      - value: kg
-        label:
-          en_US: Kongo
-          zh_Hans: 刚果语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: kri
-        label:
-          en_US: Krio (Sierra Leone)
-          zh_Hans: 塞拉利昂克里奥尔语
-      - value: ku
-        label:
-          en_US: Kurdish
-          zh_Hans: 库尔德语
-      - value: ckb
-        label:
-          en_US: Kurdish (Soranî)
-          zh_Hans: 库尔德语（索拉尼）
-      - value: ky
-        label:
-          en_US: Kyrgyz
-          zh_Hans: 吉尔吉斯语
-      - value: lo
-        label:
-          en_US: Laothian
-          zh_Hans: 老挝语
-      - value: la
-        label:
-          en_US: Latin
-          zh_Hans: 拉丁语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: ln
-        label:
-          en_US: Lingala
-          zh_Hans: 林加拉语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: loz
-        label:
-          en_US: Lozi
-          zh_Hans: 洛齐语
-      - value: lg
-        label:
-          en_US: Luganda
-          zh_Hans: 卢干达语
-      - value: ach
-        label:
-          en_US: Luo
-          zh_Hans: 卢奥语
-      - value: mk
-        label:
-          en_US: Macedonian
-          zh_Hans: 马其顿语
-      - value: mg
-        label:
-          en_US: Malagasy
-          zh_Hans: 马尔加什语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mt
-        label:
-          en_US: Maltese
-          zh_Hans: 马耳他语
-      - value: mv
-        label:
-          en_US: Maldives
-          zh_Hans: 马尔代夫语
-      - value: mi
-        label:
-          en_US: Maori
-          zh_Hans: 毛利语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: mfe
-        label:
-          en_US: Mauritian Creole
-          zh_Hans: 毛里求斯克里奥尔语
-      - value: mo
-        label:
-          en_US: Moldavian
-          zh_Hans: 摩尔达维亚语
-      - value: mn
-        label:
-          en_US: Mongolian
-          zh_Hans: 蒙古语
-      - value: sr-me
-        label:
-          en_US: Montenegrin
-          zh_Hans: 黑山语
-      - value: ne
-        label:
-          en_US: Nepali
-          zh_Hans: 尼泊尔语
-      - value: pcm
-        label:
-          en_US: Nigerian Pidgin
-          zh_Hans: 尼日利亚皮钦语
-      - value: nso
-        label:
-          en_US: Northern Sotho
-          zh_Hans: 北索托语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: nn
-        label:
-          en_US: Norwegian (Nynorsk)
-          zh_Hans: 挪威语（尼诺斯克语）
-      - value: oc
-        label:
-          en_US: Occitan
-          zh_Hans: 奥克语
-      - value: or
-        label:
-          en_US: Oriya
-          zh_Hans: 奥里亚语
-      - value: om
-        label:
-          en_US: Oromo
-          zh_Hans: 奥罗莫语
-      - value: ps
-        label:
-          en_US: Pashto
-          zh_Hans: 普什图语
-      - value: fa
-        label:
-          en_US: Persian
-          zh_Hans: 波斯语
-      - value: xx-pirate
-        label:
-          en_US: Pirate
-          zh_Hans: 海盗语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: qu
-        label:
-          en_US: Quechua
-          zh_Hans: 克丘亚语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: rm
-        label:
-          en_US: Romansh
-          zh_Hans: 罗曼什语
-      - value: nyn
-        label:
-          en_US: Runyakitara
-          zh_Hans: 卢尼亚基塔拉语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: gd
-        label:
-          en_US: Scots Gaelic
-          zh_Hans: 苏格兰盖尔语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sh
-        label:
-          en_US: Serbo-Croatian
-          zh_Hans: 塞尔维亚-克罗地亚语
-      - value: st
-        label:
-          en_US: Sesotho
-          zh_Hans: 塞索托语
-      - value: tn
-        label:
-          en_US: Setswana
-          zh_Hans: 塞茨瓦纳语
-      - value: crs
-        label:
-          en_US: Seychellois Creole
-          zh_Hans: 塞舌尔克里奥尔语
-      - value: sn
-        label:
-          en_US: Shona
-          zh_Hans: 绍纳语
-      - value: sd
-        label:
-          en_US: Sindhi
-          zh_Hans: 信德语
-      - value: si
-        label:
-          en_US: Sinhalese
-          zh_Hans: 僧伽罗语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: so
-        label:
-          en_US: Somali
-          zh_Hans: 索马里语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: es-419
-        label:
-          en_US: Spanish (Latin American)
-          zh_Hans: 西班牙语（拉丁美洲）
-      - value: su
-        label:
-          en_US: Sundanese
-          zh_Hans: 巽他语
-      - value: sw
-        label:
-          en_US: Swahili
-          zh_Hans: 斯瓦希里语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: tg
-        label:
-          en_US: Tajik
-          zh_Hans: 塔吉克语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: tt
-        label:
-          en_US: Tatar
-          zh_Hans: 鞑靼语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: ti
-        label:
-          en_US: Tigrinya
-          zh_Hans: 提格利尼亚语
-      - value: to
-        label:
-          en_US: Tonga
-          zh_Hans: 汤加语
-      - value: lua
-        label:
-          en_US: Tshiluba
-          zh_Hans: 卢巴语
-      - value: tum
-        label:
-          en_US: Tumbuka
-          zh_Hans: 图布卡语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: tk
-        label:
-          en_US: Turkmen
-          zh_Hans: 土库曼语
-      - value: tw
-        label:
-          en_US: Twi
-          zh_Hans: 契维语
-      - value: ug
-        label:
-          en_US: Uighur
-          zh_Hans: 维吾尔语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: ur
-        label:
-          en_US: Urdu
-          zh_Hans: 乌尔都语
-      - value: uz
-        label:
-          en_US: Uzbek
-          zh_Hans: 乌兹别克语
-      - value: vu
-        label:
-          en_US: Vanuatu
-          zh_Hans: 瓦努阿图语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-      - value: cy
-        label:
-          en_US: Welsh
-          zh_Hans: 威尔士语
-      - value: wo
-        label:
-          en_US: Wolof
-          zh_Hans: 沃洛夫语
-      - value: xh
-        label:
-          en_US: Xhosa
-          zh_Hans: 科萨语
-      - value: yi
-        label:
-          en_US: Yiddish
-          zh_Hans: 意第绪语
-      - value: yo
-        label:
-          en_US: Yoruba
-          zh_Hans: 约鲁巴语
-      - value: zu
-        label:
-          en_US: Zulu
-          zh_Hans: 祖鲁语
-  - name: is_remote
-    type: select
-    label:
-      en_US: is_remote
-      zh_Hans: 很遥远
-    human_description:
-      en_US: Filter results based on the work arrangement. Set it to true to find jobs that offer work from home or remote work opportunities.
-      zh_Hans: 根据工作安排过滤结果。将其设置为 true 可查找提供在家工作或远程工作机会的工作。
-    required: false
-    form: form
-    options:
-      - value: 'true'
-        label:
-          en_US: "true"
-          zh_Hans: "true"
-      - value: 'false'
-        label:
-          en_US: "false"
-          zh_Hans: "false"
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.py b/api/core/tools/provider/builtin/searchapi/tools/google_news.py
deleted file mode 100644
index c8b3ccda05..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google_news.py
+++ /dev/null
@@ -1,97 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SEARCH_API_URL = "https://www.searchapi.io/api/v1/search"
-
-
-class SearchAPI:
-    """
-    SearchAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SearchAPI tool provider."""
-        self.searchapi_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SearchAPI and parse result."""
-        type = kwargs.get("result_type", "text")
-        return self._process_response(self.results(query, **kwargs), type=type)
-
-    def results(self, query: str, **kwargs: Any) -> dict:
-        """Run query through SearchAPI and return the raw result."""
-        params = self.get_params(query, **kwargs)
-        response = requests.get(
-            url=SEARCH_API_URL,
-            params=params,
-            headers={"Authorization": f"Bearer {self.searchapi_api_key}"},
-        )
-        response.raise_for_status()
-        return response.json()
-
-    def get_params(self, query: str, **kwargs: Any) -> dict[str, str]:
-        """Get parameters for SearchAPI."""
-        return {
-            "engine": "google_news",
-            "q": query,
-            **{key: value for key, value in kwargs.items() if value not in {None, ""}},
-        }
-
-    @staticmethod
-    def _process_response(res: dict, type: str) -> str:
-        """Process response from SearchAPI."""
-        if "error" in res:
-            return res["error"]
-
-        toret = ""
-        if type == "text":
-            if "organic_results" in res and "snippet" in res["organic_results"][0]:
-                for item in res["organic_results"]:
-                    toret += "content: " + item["snippet"] + "\n" + "link: " + item["link"] + "\n"
-            if "top_stories" in res and "title" in res["top_stories"][0]:
-                for item in res["top_stories"]:
-                    toret += "title: " + item["title"] + "\n" + "link: " + item["link"] + "\n"
-            if toret == "":
-                toret = "No good search result found"
-
-        elif type == "link":
-            if "organic_results" in res and "title" in res["organic_results"][0]:
-                for item in res["organic_results"]:
-                    toret += f"[{item['title']}]({item['link']})\n"
-            elif "top_stories" in res and "title" in res["top_stories"][0]:
-                for item in res["top_stories"]:
-                    toret += f"[{item['title']}]({item['link']})\n"
-            else:
-                toret = "No good search result found"
-        return toret
-
-
-class GoogleNewsTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SearchApi tool.
-        """
-        query = tool_parameters["query"]
-        result_type = tool_parameters["result_type"]
-        num = tool_parameters.get("num", 10)
-        google_domain = tool_parameters.get("google_domain", "google.com")
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["searchapi_api_key"]
-        result = SearchAPI(api_key).run(
-            query, result_type=result_type, num=num, google_domain=google_domain, gl=gl, hl=hl, location=location
-        )
-
-        if result_type == "text":
-            return self.create_text_message(text=result)
-        return self.create_link_message(link=result)
diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml
deleted file mode 100644
index ff34af34cc..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml
+++ /dev/null
@@ -1,1922 +0,0 @@
-identity:
-  name: google_news_api
-  author: SearchApi
-  label:
-    en_US: Google News API
-    zh_Hans: Google News API
-description:
-  human:
-    en_US: A tool to retrieve organic search results snippets and links from Google News engine.
-    zh_Hans: 一种从 Google 新闻引擎检索有机搜索结果片段和链接的工具。
-  llm: A tool to retrieve organic search results snippets and links from Google News engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: result_type
-    type: select
-    required: true
-    options:
-      - value: text
-        label:
-          en_US: text
-          zh_Hans: 文本
-      - value: link
-        label:
-          en_US: link
-          zh_Hans: 链接
-    default: text
-    label:
-      en_US: Result type
-      zh_Hans: 结果类型
-    human_description:
-      en_US: used for selecting the result type, text or link.
-      zh_Hans: 用于选择结果类型，使用文本还是链接进行展示。
-    form: form
-  - name: location
-    type: string
-    required: false
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: llm
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: AF
-        label:
-          en_US: Afghanistan
-          zh_Hans: 阿富汗
-          pt_BR: Afeganistão
-      - value: AL
-        label:
-          en_US: Albania
-          zh_Hans: 阿尔巴尼亚
-          pt_BR: Albânia
-      - value: DZ
-        label:
-          en_US: Algeria
-          zh_Hans: 阿尔及利亚
-          pt_BR: Argélia
-      - value: AS
-        label:
-          en_US: American Samoa
-          zh_Hans: 美属萨摩亚
-          pt_BR: Samoa Americana
-      - value: AD
-        label:
-          en_US: Andorra
-          zh_Hans: 安道尔
-          pt_BR: Andorra
-      - value: AO
-        label:
-          en_US: Angola
-          zh_Hans: 安哥拉
-          pt_BR: Angola
-      - value: AI
-        label:
-          en_US: Anguilla
-          zh_Hans: 安圭拉
-          pt_BR: Anguilla
-      - value: AQ
-        label:
-          en_US: Antarctica
-          zh_Hans: 南极洲
-          pt_BR: Antártica
-      - value: AG
-        label:
-          en_US: Antigua and Barbuda
-          zh_Hans: 安提瓜和巴布达
-          pt_BR: Antígua e Barbuda
-      - value: AR
-        label:
-          en_US: Argentina
-          zh_Hans: 阿根廷
-          pt_BR: Argentina
-      - value: AM
-        label:
-          en_US: Armenia
-          zh_Hans: 亚美尼亚
-          pt_BR: Armênia
-      - value: AW
-        label:
-          en_US: Aruba
-          zh_Hans: 阿鲁巴
-          pt_BR: Aruba
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Austrália
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Áustria
-      - value: AZ
-        label:
-          en_US: Azerbaijan
-          zh_Hans: 阿塞拜疆
-          pt_BR: Azerbaijão
-      - value: BS
-        label:
-          en_US: Bahamas
-          zh_Hans: 巴哈马
-          pt_BR: Bahamas
-      - value: BH
-        label:
-          en_US: Bahrain
-          zh_Hans: 巴林
-          pt_BR: Bahrein
-      - value: BD
-        label:
-          en_US: Bangladesh
-          zh_Hans: 孟加拉国
-          pt_BR: Bangladesh
-      - value: BB
-        label:
-          en_US: Barbados
-          zh_Hans: 巴巴多斯
-          pt_BR: Barbados
-      - value: BY
-        label:
-          en_US: Belarus
-          zh_Hans: 白俄罗斯
-          pt_BR: Bielorrússia
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Bélgica
-      - value: BZ
-        label:
-          en_US: Belize
-          zh_Hans: 伯利兹
-          pt_BR: Belize
-      - value: BJ
-        label:
-          en_US: Benin
-          zh_Hans: 贝宁
-          pt_BR: Benim
-      - value: BM
-        label:
-          en_US: Bermuda
-          zh_Hans: 百慕大
-          pt_BR: Bermudas
-      - value: BT
-        label:
-          en_US: Bhutan
-          zh_Hans: 不丹
-          pt_BR: Butão
-      - value: BO
-        label:
-          en_US: Bolivia
-          zh_Hans: 玻利维亚
-          pt_BR: Bolívia
-      - value: BA
-        label:
-          en_US: Bosnia and Herzegovina
-          zh_Hans: 波斯尼亚和黑塞哥维那
-          pt_BR: Bósnia e Herzegovina
-      - value: BW
-        label:
-          en_US: Botswana
-          zh_Hans: 博茨瓦纳
-          pt_BR: Botsuana
-      - value: BV
-        label:
-          en_US: Bouvet Island
-          zh_Hans: 布韦岛
-          pt_BR: Ilha Bouvet
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brasil
-      - value: IO
-        label:
-          en_US: British Indian Ocean Territory
-          zh_Hans: 英属印度洋领地
-          pt_BR: Território Britânico do Oceano Índico
-      - value: BN
-        label:
-          en_US: Brunei Darussalam
-          zh_Hans: 文莱
-          pt_BR: Brunei Darussalam
-      - value: BG
-        label:
-          en_US: Bulgaria
-          zh_Hans: 保加利亚
-          pt_BR: Bulgária
-      - value: BF
-        label:
-          en_US: Burkina Faso
-          zh_Hans: 布基纳法索
-          pt_BR: Burkina Faso
-      - value: BI
-        label:
-          en_US: Burundi
-          zh_Hans: 布隆迪
-          pt_BR: Burundi
-      - value: KH
-        label:
-          en_US: Cambodia
-          zh_Hans: 柬埔寨
-          pt_BR: Camboja
-      - value: CM
-        label:
-          en_US: Cameroon
-          zh_Hans: 喀麦隆
-          pt_BR: Camarões
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canadá
-      - value: CV
-        label:
-          en_US: Cape Verde
-          zh_Hans: 佛得角
-          pt_BR: Cabo Verde
-      - value: KY
-        label:
-          en_US: Cayman Islands
-          zh_Hans: 开曼群岛
-          pt_BR: Ilhas Cayman
-      - value: CF
-        label:
-          en_US: Central African Republic
-          zh_Hans: 中非共和国
-          pt_BR: República Centro-Africana
-      - value: TD
-        label:
-          en_US: Chad
-          zh_Hans: 乍得
-          pt_BR: Chade
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CN
-        label:
-          en_US: China
-          zh_Hans: 中国
-          pt_BR: China
-      - value: CX
-        label:
-          en_US: Christmas Island
-          zh_Hans: 圣诞岛
-          pt_BR: Ilha do Natal
-      - value: CC
-        label:
-          en_US: Cocos (Keeling) Islands
-          zh_Hans: 科科斯（基林）群岛
-          pt_BR: Ilhas Cocos (Keeling)
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colômbia
-      - value: KM
-        label:
-          en_US: Comoros
-          zh_Hans: 科摩罗
-          pt_BR: Comores
-      - value: CG
-        label:
-          en_US: Congo
-          zh_Hans: 刚果
-          pt_BR: Congo
-      - value: CD
-        label:
-          en_US: Congo, the Democratic Republic of the
-          zh_Hans: 刚果民主共和国
-          pt_BR: Congo, República Democrática do
-      - value: CK
-        label:
-          en_US: Cook Islands
-          zh_Hans: 库克群岛
-          pt_BR: Ilhas Cook
-      - value: CR
-        label:
-          en_US: Costa Rica
-          zh_Hans: 哥斯达黎加
-          pt_BR: Costa Rica
-      - value: CI
-        label:
-          en_US: Cote D'ivoire
-          zh_Hans: 科特迪瓦
-          pt_BR: Costa do Marfim
-      - value: HR
-        label:
-          en_US: Croatia
-          zh_Hans: 克罗地亚
-          pt_BR: Croácia
-      - value: CU
-        label:
-          en_US: Cuba
-          zh_Hans: 古巴
-          pt_BR: Cuba
-      - value: CY
-        label:
-          en_US: Cyprus
-          zh_Hans: 塞浦路斯
-          pt_BR: Chipre
-      - value: CZ
-        label:
-          en_US: Czech Republic
-          zh_Hans: 捷克共和国
-          pt_BR: República Tcheca
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Dinamarca
-      - value: DJ
-        label:
-          en_US: Djibouti
-          zh_Hans: 吉布提
-          pt_BR: Djibuti
-      - value: DM
-        label:
-          en_US: Dominica
-          zh_Hans: 多米尼克
-          pt_BR: Dominica
-      - value: DO
-        label:
-          en_US: Dominican Republic
-          zh_Hans: 多米尼加共和国
-          pt_BR: República Dominicana
-      - value: EC
-        label:
-          en_US: Ecuador
-          zh_Hans: 厄瓜多尔
-          pt_BR: Equador
-      - value: EG
-        label:
-          en_US: Egypt
-          zh_Hans: 埃及
-          pt_BR: Egito
-      - value: SV
-        label:
-          en_US: El Salvador
-          zh_Hans: 萨尔瓦多
-          pt_BR: El Salvador
-      - value: GQ
-        label:
-          en_US: Equatorial Guinea
-          zh_Hans: 赤道几内亚
-          pt_BR: Guiné Equatorial
-      - value: ER
-        label:
-          en_US: Eritrea
-          zh_Hans: 厄立特里亚
-          pt_BR: Eritreia
-      - value: EE
-        label:
-          en_US: Estonia
-          zh_Hans: 爱沙尼亚
-          pt_BR: Estônia
-      - value: ET
-        label:
-          en_US: Ethiopia
-          zh_Hans: 埃塞俄比亚
-          pt_BR: Etiópia
-      - value: FK
-        label:
-          en_US: Falkland Islands (Malvinas)
-          zh_Hans: 福克兰群岛（马尔维纳斯）
-          pt_BR: Ilhas Falkland (Malvinas)
-      - value: FO
-        label:
-          en_US: Faroe Islands
-          zh_Hans: 法罗群岛
-          pt_BR: Ilhas Faroe
-      - value: FJ
-        label:
-          en_US: Fiji
-          zh_Hans: 斐济
-          pt_BR: Fiji
-      - value: FI
-        label:
-          en_US: Finland
-          zh_Hans: 芬兰
-          pt_BR: Finlândia
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: França
-      - value: GF
-        label:
-          en_US: French Guiana
-          zh_Hans: 法属圭亚那
-          pt_BR: Guiana Francesa
-      - value: PF
-        label:
-          en_US: French Polynesia
-          zh_Hans: 法属波利尼西亚
-          pt_BR: Polinésia Francesa
-      - value: TF
-        label:
-          en_US: French Southern Territories
-          zh_Hans: 法属南部领地
-          pt_BR: Territórios Franceses do Sul
-      - value: GA
-        label:
-          en_US: Gabon
-          zh_Hans: 加蓬
-          pt_BR: Gabão
-      - value: GM
-        label:
-          en_US: Gambia
-          zh_Hans: 冈比亚
-          pt_BR: Gâmbia
-      - value: GE
-        label:
-          en_US: Georgia
-          zh_Hans: 格鲁吉亚
-          pt_BR: Geórgia
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Alemanha
-      - value: GH
-        label:
-          en_US: Ghana
-          zh_Hans: 加纳
-          pt_BR: Gana
-      - value: GI
-        label:
-          en_US: Gibraltar
-          zh_Hans: 直布罗陀
-          pt_BR: Gibraltar
-      - value: GR
-        label:
-          en_US: Greece
-          zh_Hans: 希腊
-          pt_BR: Grécia
-      - value: GL
-        label:
-          en_US: Greenland
-          zh_Hans: 格陵兰
-          pt_BR: Groenlândia
-      - value: GD
-        label:
-          en_US: Grenada
-          zh_Hans: 格林纳达
-          pt_BR: Granada
-      - value: GP
-        label:
-          en_US: Guadeloupe
-          zh_Hans: 瓜德罗普
-          pt_BR: Guadalupe
-      - value: GU
-        label:
-          en_US: Guam
-          zh_Hans: 关岛
-          pt_BR: Guam
-      - value: GT
-        label:
-          en_US: Guatemala
-          zh_Hans: 危地马拉
-          pt_BR: Guatemala
-      - value: GN
-        label:
-          en_US: Guinea
-          zh_Hans: 几内亚
-          pt_BR: Guiné
-      - value: GW
-        label:
-          en_US: Guinea-Bissau
-          zh_Hans: 几内亚比绍
-          pt_BR: Guiné-Bissau
-      - value: GY
-        label:
-          en_US: Guyana
-          zh_Hans: 圭亚那
-          pt_BR: Guiana
-      - value: HT
-        label:
-          en_US: Haiti
-          zh_Hans: 海地
-          pt_BR: Haiti
-      - value: HM
-        label:
-          en_US: Heard Island and McDonald Islands
-          zh_Hans: 赫德岛和麦克唐纳群岛
-          pt_BR: Ilha Heard e Ilhas McDonald
-      - value: VA
-        label:
-          en_US: Holy See (Vatican City State)
-          zh_Hans: 教廷（梵蒂冈城国）
-          pt_BR: Santa Sé (Estado da Cidade do Vaticano)
-      - value: HN
-        label:
-          en_US: Honduras
-          zh_Hans: 洪都拉斯
-          pt_BR: Honduras
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: HU
-        label:
-          en_US: Hungary
-          zh_Hans: 匈牙利
-          pt_BR: Hungria
-      - value: IS
-        label:
-          en_US: Iceland
-          zh_Hans: 冰岛
-          pt_BR: Islândia
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: Índia
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonésia
-      - value: IR
-        label:
-          en_US: Iran, Islamic Republic of
-          zh_Hans: 伊朗
-          pt_BR: Irã
-      - value: IQ
-        label:
-          en_US: Iraq
-          zh_Hans: 伊拉克
-          pt_BR: Iraque
-      - value: IE
-        label:
-          en_US: Ireland
-          zh_Hans: 爱尔兰
-          pt_BR: Irlanda
-      - value: IL
-        label:
-          en_US: Israel
-          zh_Hans: 以色列
-          pt_BR: Israel
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Itália
-      - value: JM
-        label:
-          en_US: Jamaica
-          zh_Hans: 牙买加
-          pt_BR: Jamaica
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japão
-      - value: JO
-        label:
-          en_US: Jordan
-          zh_Hans: 约旦
-          pt_BR: Jordânia
-      - value: KZ
-        label:
-          en_US: Kazakhstan
-          zh_Hans: 哈萨克斯坦
-          pt_BR: Cazaquistão
-      - value: KE
-        label:
-          en_US: Kenya
-          zh_Hans: 肯尼亚
-          pt_BR: Quênia
-      - value: KI
-        label:
-          en_US: Kiribati
-          zh_Hans: 基里巴斯
-          pt_BR: Kiribati
-      - value: KP
-        label:
-          en_US: Korea, Democratic People's Republic of
-          zh_Hans: 朝鲜
-          pt_BR: Coreia, República Democrática Popular da
-      - value: KR
-        label:
-          en_US: Korea, Republic of
-          zh_Hans: 韩国
-          pt_BR: Coreia, República da
-      - value: KW
-        label:
-          en_US: Kuwait
-          zh_Hans: 科威特
-          pt_BR: Kuwait
-      - value: KG
-        label:
-          en_US: Kyrgyzstan
-          zh_Hans: 吉尔吉斯斯坦
-          pt_BR: Quirguistão
-      - value: LA
-        label:
-          en_US: Lao People's Democratic Republic
-          zh_Hans: 老挝
-          pt_BR: República Democrática Popular do Laos
-      - value: LV
-        label:
-          en_US: Latvia
-          zh_Hans: 拉脱维亚
-          pt_BR: Letônia
-      - value: LB
-        label:
-          en_US: Lebanon
-          zh_Hans: 黎巴嫩
-          pt_BR: Líbano
-      - value: LS
-        label:
-          en_US: Lesotho
-          zh_Hans: 莱索托
-          pt_BR: Lesoto
-      - value: LR
-        label:
-          en_US: Liberia
-          zh_Hans: 利比里亚
-          pt_BR: Libéria
-      - value: LY
-        label:
-          en_US: Libyan Arab Jamahiriya
-          zh_Hans: 利比亚
-          pt_BR: Líbia
-      - value: LI
-        label:
-          en_US: Liechtenstein
-          zh_Hans: 列支敦士登
-          pt_BR: Liechtenstein
-      - value: LT
-        label:
-          en_US: Lithuania
-          zh_Hans: 立陶宛
-          pt_BR: Lituânia
-      - value: LU
-        label:
-          en_US: Luxembourg
-          zh_Hans: 卢森堡
-          pt_BR: Luxemburgo
-      - value: MO
-        label:
-          en_US: Macao
-          zh_Hans: 澳门
-          pt_BR: Macau
-      - value: MK
-        label:
-          en_US: Macedonia, the Former Yugosalv Republic of
-          zh_Hans: 前南斯拉夫马其顿共和国
-          pt_BR: Macedônia, Ex-República Iugoslava da
-      - value: MG
-        label:
-          en_US: Madagascar
-          zh_Hans: 马达加斯加
-          pt_BR: Madagascar
-      - value: MW
-        label:
-          en_US: Malawi
-          zh_Hans: 马拉维
-          pt_BR: Malaui
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malásia
-      - value: MV
-        label:
-          en_US: Maldives
-          zh_Hans: 马尔代夫
-          pt_BR: Maldivas
-      - value: ML
-        label:
-          en_US: Mali
-          zh_Hans: 马里
-          pt_BR: Mali
-      - value: MT
-        label:
-          en_US: Malta
-          zh_Hans: 马耳他
-          pt_BR: Malta
-      - value: MH
-        label:
-          en_US: Marshall Islands
-          zh_Hans: 马绍尔群岛
-          pt_BR: Ilhas Marshall
-      - value: MQ
-        label:
-          en_US: Martinique
-          zh_Hans: 马提尼克
-          pt_BR: Martinica
-      - value: MR
-        label:
-          en_US: Mauritania
-          zh_Hans: 毛里塔尼亚
-          pt_BR: Mauritânia
-      - value: MU
-        label:
-          en_US: Mauritius
-          zh_Hans: 毛里求斯
-          pt_BR: Maurício
-      - value: YT
-        label:
-          en_US: Mayotte
-          zh_Hans: 马约特
-          pt_BR: Mayotte
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: México
-      - value: FM
-        label:
-          en_US: Micronesia, Federated States of
-          zh_Hans: 密克罗尼西亚联邦
-          pt_BR: Micronésia, Estados Federados da
-      - value: MD
-        label:
-          en_US: Moldova, Republic of
-          zh_Hans: 摩尔多瓦共和国
-          pt_BR: Moldávia, República da
-      - value: MC
-        label:
-          en_US: Monaco
-          zh_Hans: 摩纳哥
-          pt_BR: Mônaco
-      - value: MN
-        label:
-          en_US: Mongolia
-          zh_Hans: 蒙古
-          pt_BR: Mongólia
-      - value: MS
-        label:
-          en_US: Montserrat
-          zh_Hans: 蒙特塞拉特
-          pt_BR: Montserrat
-      - value: MA
-        label:
-          en_US: Morocco
-          zh_Hans: 摩洛哥
-          pt_BR: Marrocos
-      - value: MZ
-        label:
-          en_US: Mozambique
-          zh_Hans: 莫桑比克
-          pt_BR: Moçambique
-      - value: MM
-        label:
-          en_US: Myanmar
-          zh_Hans: 缅甸
-          pt_BR: Mianmar
-      - value: NA
-        label:
-          en_US: Namibia
-          zh_Hans: 纳米比亚
-          pt_BR: Namíbia
-      - value: NR
-        label:
-          en_US: Nauru
-          zh_Hans: 瑙鲁
-          pt_BR: Nauru
-      - value: NP
-        label:
-          en_US: Nepal
-          zh_Hans: 尼泊尔
-          pt_BR: Nepal
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Países Baixos
-      - value: AN
-        label:
-          en_US: Netherlands Antilles
-          zh_Hans: 荷属安的列斯
-          pt_BR: Antilhas Holandesas
-      - value: NC
-        label:
-          en_US: New Caledonia
-          zh_Hans: 新喀里多尼亚
-          pt_BR: Nova Caledônia
-      - value: NZ
-        label:
-          en_US: New Zealand
-          zh_Hans: 新西兰
-          pt_BR: Nova Zelândia
-      - value: NI
-        label:
-          en_US: Nicaragua
-          zh_Hans: 尼加拉瓜
-          pt_BR: Nicarágua
-      - value: NE
-        label:
-          en_US: Niger
-          zh_Hans: 尼日尔
-          pt_BR: Níger
-      - value: NG
-        label:
-          en_US: Nigeria
-          zh_Hans: 尼日利亚
-          pt_BR: Nigéria
-      - value: NU
-        label:
-          en_US: Niue
-          zh_Hans: 纽埃
-          pt_BR: Niue
-      - value: NF
-        label:
-          en_US: Norfolk Island
-          zh_Hans: 诺福克岛
-          pt_BR: Ilha Norfolk
-      - value: MP
-        label:
-          en_US: Northern Mariana Islands
-          zh_Hans: 北马里亚纳群岛
-          pt_BR: Ilhas Marianas do Norte
-      - value: "NO"
-        label:
-          en_US: Norway
-          zh_Hans: 挪威
-          pt_BR: Noruega
-      - value: OM
-        label:
-          en_US: Oman
-          zh_Hans: 阿曼
-          pt_BR: Omã
-      - value: PK
-        label:
-          en_US: Pakistan
-          zh_Hans: 巴基斯坦
-          pt_BR: Paquistão
-      - value: PW
-        label:
-          en_US: Palau
-          zh_Hans: 帕劳
-          pt_BR: Palau
-      - value: PS
-        label:
-          en_US: Palestinian Territory, Occupied
-          zh_Hans: 巴勒斯坦领土
-          pt_BR: Palestina, Território Ocupado
-      - value: PA
-        label:
-          en_US: Panama
-          zh_Hans: 巴拿马
-          pt_BR: Panamá
-      - value: PG
-        label:
-          en_US: Papua New Guinea
-          zh_Hans: 巴布亚新几内亚
-          pt_BR: Papua Nova Guiné
-      - value: PY
-        label:
-          en_US: Paraguay
-          zh_Hans: 巴拉圭
-          pt_BR: Paraguai
-      - value: PE
-        label:
-          en_US: Peru
-          zh_Hans: 秘鲁
-          pt_BR: Peru
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Filipinas
-      - value: PN
-        label:
-          en_US: Pitcairn
-          zh_Hans: 皮特凯恩岛
-          pt_BR: Pitcairn
-      - value: PL
-        label:
-          en_US: Poland
-          zh_Hans: 波兰
-          pt_BR: Polônia
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: PR
-        label:
-          en_US: Puerto Rico
-          zh_Hans: 波多黎各
-          pt_BR: Porto Rico
-      - value: QA
-        label:
-          en_US: Qatar
-          zh_Hans: 卡塔尔
-          pt_BR: Catar
-      - value: RE
-        label:
-          en_US: Reunion
-          zh_Hans: 留尼旺
-          pt_BR: Reunião
-      - value: RO
-        label:
-          en_US: Romania
-          zh_Hans: 罗马尼亚
-          pt_BR: Romênia
-      - value: RU
-        label:
-          en_US: Russian Federation
-          zh_Hans: 俄罗斯联邦
-          pt_BR: Rússia
-      - value: RW
-        label:
-          en_US: Rwanda
-          zh_Hans: 卢旺达
-          pt_BR: Ruanda
-      - value: SH
-        label:
-          en_US: Saint Helena
-          zh_Hans: 圣赫勒拿
-          pt_BR: Santa Helena
-      - value: KN
-        label:
-          en_US: Saint Kitts and Nevis
-          zh_Hans: 圣基茨和尼维斯
-          pt_BR: São Cristóvão e Nevis
-      - value: LC
-        label:
-          en_US: Saint Lucia
-          zh_Hans: 圣卢西亚
-          pt_BR: Santa Lúcia
-      - value: PM
-        label:
-          en_US: Saint Pierre and Miquelon
-          zh_Hans: 圣皮埃尔和密克隆
-          pt_BR: São Pedro e Miquelon
-      - value: VC
-        label:
-          en_US: Saint Vincent and the Grenadines
-          zh_Hans: 圣文森特和格林纳丁斯
-          pt_BR: São Vicente e Granadinas
-      - value: WS
-        label:
-          en_US: Samoa
-          zh_Hans: 萨摩亚
-          pt_BR: Samoa
-      - value: SM
-        label:
-          en_US: San Marino
-          zh_Hans: 圣马力诺
-          pt_BR: San Marino
-      - value: ST
-        label:
-          en_US: Sao Tome and Principe
-          zh_Hans: 圣多美和普林西比
-          pt_BR: São Tomé e Príncipe
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Arábia Saudita
-      - value: SN
-        label:
-          en_US: Senegal
-          zh_Hans: 塞内加尔
-          pt_BR: Senegal
-      - value: RS
-        label:
-          en_US: Serbia and Montenegro
-          zh_Hans: 塞尔维亚和黑山
-          pt_BR: Sérvia e Montenegro
-      - value: SC
-        label:
-          en_US: Seychelles
-          zh_Hans: 塞舌尔
-          pt_BR: Seicheles
-      - value: SL
-        label:
-          en_US: Sierra Leone
-          zh_Hans: 塞拉利昂
-          pt_BR: Serra Leoa
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapura
-      - value: SK
-        label:
-          en_US: Slovakia
-          zh_Hans: 斯洛伐克
-          pt_BR: Eslováquia
-      - value: SI
-        label:
-          en_US: Slovenia
-          zh_Hans: 斯洛文尼亚
-          pt_BR: Eslovênia
-      - value: SB
-        label:
-          en_US: Solomon Islands
-          zh_Hans: 所罗门群岛
-          pt_BR: Ilhas Salomão
-      - value: SO
-        label:
-          en_US: Somalia
-          zh_Hans: 索马里
-          pt_BR: Somália
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: África do Sul
-      - value: GS
-        label:
-          en_US: South Georgia and the South Sandwich Islands
-          zh_Hans: 南乔治亚和南桑威奇群岛
-          pt_BR: Geórgia do Sul e Ilhas Sandwich do Sul
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Espanha
-      - value: LK
-        label:
-          en_US: Sri Lanka
-          zh_Hans: 斯里兰卡
-          pt_BR: Sri Lanka
-      - value: SD
-        label:
-          en_US: Sudan
-          zh_Hans: 苏丹
-          pt_BR: Sudão
-      - value: SR
-        label:
-          en_US: Suriname
-          zh_Hans: 苏里南
-          pt_BR: Suriname
-      - value: SJ
-        label:
-          en_US: Svalbard and Jan Mayen
-          zh_Hans: 斯瓦尔巴特和扬马延岛
-          pt_BR: Svalbard e Jan Mayen
-      - value: SZ
-        label:
-          en_US: Swaziland
-          zh_Hans: 斯威士兰
-          pt_BR: Essuatíni
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Suécia
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Suíça
-      - value: SY
-        label:
-          en_US: Syrian Arab Republic
-          zh_Hans: 叙利亚
-          pt_BR: Síria
-      - value: TW
-        label:
-          en_US: Taiwan, Province of China
-          zh_Hans: 台湾
-          pt_BR: Taiwan
-      - value: TJ
-        label:
-          en_US: Tajikistan
-          zh_Hans: 塔吉克斯坦
-          pt_BR: Tajiquistão
-      - value: TZ
-        label:
-          en_US: Tanzania, United Republic of
-          zh_Hans: 坦桑尼亚联合共和国
-          pt_BR: Tanzânia
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Tailândia
-      - value: TL
-        label:
-          en_US: Timor-Leste
-          zh_Hans: 东帝汶
-          pt_BR: Timor-Leste
-      - value: TG
-        label:
-          en_US: Togo
-          zh_Hans: 多哥
-          pt_BR: Togo
-      - value: TK
-        label:
-          en_US: Tokelau
-          zh_Hans: 托克劳
-          pt_BR: Toquelau
-      - value: TO
-        label:
-          en_US: Tonga
-          zh_Hans: 汤加
-          pt_BR: Tonga
-      - value: TT
-        label:
-          en_US: Trinidad and Tobago
-          zh_Hans: 特立尼达和多巴哥
-          pt_BR: Trindade e Tobago
-      - value: TN
-        label:
-          en_US: Tunisia
-          zh_Hans: 突尼斯
-          pt_BR: Tunísia
-      - value: TR
-        label:
-          en_US: Turkey
-          zh_Hans: 土耳其
-          pt_BR: Turquia
-      - value: TM
-        label:
-          en_US: Turkmenistan
-          zh_Hans: 土库曼斯坦
-          pt_BR: Turcomenistão
-      - value: TC
-        label:
-          en_US: Turks and Caicos Islands
-          zh_Hans: 特克斯和凯科斯群岛
-          pt_BR: Ilhas Turks e Caicos
-      - value: TV
-        label:
-          en_US: Tuvalu
-          zh_Hans: 图瓦卢
-          pt_BR: Tuvalu
-      - value: UG
-        label:
-          en_US: Uganda
-          zh_Hans: 乌干达
-          pt_BR: Uganda
-      - value: UA
-        label:
-          en_US: Ukraine
-          zh_Hans: 乌克兰
-          pt_BR: Ucrânia
-      - value: AE
-        label:
-          en_US: United Arab Emirates
-          zh_Hans: 阿联酋
-          pt_BR: Emirados Árabes Unidos
-      - value: UK
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: Reino Unido
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: Reino Unido
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: Estados Unidos
-      - value: UM
-        label:
-          en_US: United States Minor Outlying Islands
-          zh_Hans: 美国本土外小岛屿
-          pt_BR: Ilhas Menores Distantes dos Estados Unidos
-      - value: UY
-        label:
-          en_US: Uruguay
-          zh_Hans: 乌拉圭
-          pt_BR: Uruguai
-      - value: UZ
-        label:
-          en_US: Uzbekistan
-          zh_Hans: 乌兹别克斯坦
-          pt_BR: Uzbequistão
-      - value: VU
-        label:
-          en_US: Vanuatu
-          zh_Hans: 瓦努阿图
-          pt_BR: Vanuatu
-      - value: VE
-        label:
-          en_US: Venezuela
-          zh_Hans: 委内瑞拉
-          pt_BR: Venezuela
-      - value: VN
-        label:
-          en_US: Viet Nam
-          zh_Hans: 越南
-          pt_BR: Vietnã
-      - value: VG
-        label:
-          en_US: Virgin Islands, British
-          zh_Hans: 英属维尔京群岛
-          pt_BR: Ilhas Virgens Britânicas
-      - value: VI
-        label:
-          en_US: Virgin Islands, U.S.
-          zh_Hans: 美属维尔京群岛
-          pt_BR: Ilhas Virgens dos EUA
-      - value: WF
-        label:
-          en_US: Wallis and Futuna
-          zh_Hans: 瓦利斯和富图纳群岛
-          pt_BR: Wallis e Futuna
-      - value: EH
-        label:
-          en_US: Western Sahara
-          zh_Hans: 西撒哈拉
-          pt_BR: Saara Ocidental
-      - value: YE
-        label:
-          en_US: Yemen
-          zh_Hans: 也门
-          pt_BR: Iémen
-      - value: ZM
-        label:
-          en_US: Zambia
-          zh_Hans: 赞比亚
-          pt_BR: Zâmbia
-      - value: ZW
-        label:
-          en_US: Zimbabwe
-          zh_Hans: 津巴布韦
-          pt_BR: Zimbábue
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: af
-        label:
-          en_US: Afrikaans
-          zh_Hans: 南非语
-      - value: ak
-        label:
-          en_US: Akan
-          zh_Hans: 阿坎语
-      - value: sq
-        label:
-          en_US: Albanian
-          zh_Hans: 阿尔巴尼亚语
-      - value: ws
-        label:
-          en_US: Samoa
-          zh_Hans: 萨摩亚语
-      - value: am
-        label:
-          en_US: Amharic
-          zh_Hans: 阿姆哈拉语
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: hy
-        label:
-          en_US: Armenian
-          zh_Hans: 亚美尼亚语
-      - value: az
-        label:
-          en_US: Azerbaijani
-          zh_Hans: 阿塞拜疆语
-      - value: eu
-        label:
-          en_US: Basque
-          zh_Hans: 巴斯克语
-      - value: be
-        label:
-          en_US: Belarusian
-          zh_Hans: 白俄罗斯语
-      - value: bem
-        label:
-          en_US: Bemba
-          zh_Hans: 班巴语
-      - value: bn
-        label:
-          en_US: Bengali
-          zh_Hans: 孟加拉语
-      - value: bh
-        label:
-          en_US: Bihari
-          zh_Hans: 比哈尔语
-      - value: xx-bork
-        label:
-          en_US: Bork, bork, bork!
-          zh_Hans: 博克语
-      - value: bs
-        label:
-          en_US: Bosnian
-          zh_Hans: 波斯尼亚语
-      - value: br
-        label:
-          en_US: Breton
-          zh_Hans: 布列塔尼语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: bt
-        label:
-          en_US: Bhutanese
-          zh_Hans: 不丹语
-      - value: km
-        label:
-          en_US: Cambodian
-          zh_Hans: 高棉语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: chr
-        label:
-          en_US: Cherokee
-          zh_Hans: 切罗基语
-      - value: ny
-        label:
-          en_US: Chichewa
-          zh_Hans: 齐切瓦语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: co
-        label:
-          en_US: Corsican
-          zh_Hans: 科西嘉语
-      - value: hr
-        label:
-          en_US: Croatian
-          zh_Hans: 克罗地亚语
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: xx-elmer
-        label:
-          en_US: Elmer Fudd
-          zh_Hans: 艾尔默福德语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: eo
-        label:
-          en_US: Esperanto
-          zh_Hans: 世界语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: ee
-        label:
-          en_US: Ewe
-          zh_Hans: 埃维语
-      - value: fo
-        label:
-          en_US: Faroese
-          zh_Hans: 法罗语
-      - value: tl
-        label:
-          en_US: Filipino
-          zh_Hans: 菲律宾语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: fy
-        label:
-          en_US: Frisian
-          zh_Hans: 弗里西亚语
-      - value: gaa
-        label:
-          en_US: Ga
-          zh_Hans: 加语
-      - value: gl
-        label:
-          en_US: Galician
-          zh_Hans: 加利西亚语
-      - value: ka
-        label:
-          en_US: Georgian
-          zh_Hans: 格鲁吉亚语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: kl
-        label:
-          en_US: Greenlandic
-          zh_Hans: 格陵兰语
-      - value: gn
-        label:
-          en_US: Guarani
-          zh_Hans: 瓜拉尼语
-      - value: gu
-        label:
-          en_US: Gujarati
-          zh_Hans: 古吉拉特语
-      - value: xx-hacker
-        label:
-          en_US: Hacker
-          zh_Hans: 黑客语
-      - value: ht
-        label:
-          en_US: Haitian Creole
-          zh_Hans: 海地克里奥尔语
-      - value: ha
-        label:
-          en_US: Hausa
-          zh_Hans: 豪萨语
-      - value: haw
-        label:
-          en_US: Hawaiian
-          zh_Hans: 夏威夷语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: is
-        label:
-          en_US: Icelandic
-          zh_Hans: 冰岛语
-      - value: ig
-        label:
-          en_US: Igbo
-          zh_Hans: 伊博语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: ia
-        label:
-          en_US: Interlingua
-          zh_Hans: 国际语
-      - value: ga
-        label:
-          en_US: Irish
-          zh_Hans: 爱尔兰语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: jw
-        label:
-          en_US: Javanese
-          zh_Hans: 爪哇语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: kk
-        label:
-          en_US: Kazakh
-          zh_Hans: 哈萨克语
-      - value: rw
-        label:
-          en_US: Kinyarwanda
-          zh_Hans: 基尼亚卢旺达语
-      - value: rn
-        label:
-          en_US: Kirundi
-          zh_Hans: 基隆迪语
-      - value: xx-klingon
-        label:
-          en_US: Klingon
-          zh_Hans: 克林贡语
-      - value: kg
-        label:
-          en_US: Kongo
-          zh_Hans: 刚果语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: kri
-        label:
-          en_US: Krio (Sierra Leone)
-          zh_Hans: 塞拉利昂克里奥尔语
-      - value: ku
-        label:
-          en_US: Kurdish
-          zh_Hans: 库尔德语
-      - value: ckb
-        label:
-          en_US: Kurdish (Soranî)
-          zh_Hans: 库尔德语（索拉尼）
-      - value: ky
-        label:
-          en_US: Kyrgyz
-          zh_Hans: 吉尔吉斯语
-      - value: lo
-        label:
-          en_US: Laothian
-          zh_Hans: 老挝语
-      - value: la
-        label:
-          en_US: Latin
-          zh_Hans: 拉丁语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: ln
-        label:
-          en_US: Lingala
-          zh_Hans: 林加拉语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: loz
-        label:
-          en_US: Lozi
-          zh_Hans: 洛齐语
-      - value: lg
-        label:
-          en_US: Luganda
-          zh_Hans: 卢干达语
-      - value: ach
-        label:
-          en_US: Luo
-          zh_Hans: 卢奥语
-      - value: mk
-        label:
-          en_US: Macedonian
-          zh_Hans: 马其顿语
-      - value: mg
-        label:
-          en_US: Malagasy
-          zh_Hans: 马尔加什语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mt
-        label:
-          en_US: Maltese
-          zh_Hans: 马耳他语
-      - value: mv
-        label:
-          en_US: Maldives
-          zh_Hans: 马尔代夫语
-      - value: mi
-        label:
-          en_US: Maori
-          zh_Hans: 毛利语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: mfe
-        label:
-          en_US: Mauritian Creole
-          zh_Hans: 毛里求斯克里奥尔语
-      - value: mo
-        label:
-          en_US: Moldavian
-          zh_Hans: 摩尔达维亚语
-      - value: mn
-        label:
-          en_US: Mongolian
-          zh_Hans: 蒙古语
-      - value: sr-me
-        label:
-          en_US: Montenegrin
-          zh_Hans: 黑山语
-      - value: ne
-        label:
-          en_US: Nepali
-          zh_Hans: 尼泊尔语
-      - value: pcm
-        label:
-          en_US: Nigerian Pidgin
-          zh_Hans: 尼日利亚皮钦语
-      - value: nso
-        label:
-          en_US: Northern Sotho
-          zh_Hans: 北索托语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: nn
-        label:
-          en_US: Norwegian (Nynorsk)
-          zh_Hans: 挪威语（尼诺斯克语）
-      - value: oc
-        label:
-          en_US: Occitan
-          zh_Hans: 奥克语
-      - value: or
-        label:
-          en_US: Oriya
-          zh_Hans: 奥里亚语
-      - value: om
-        label:
-          en_US: Oromo
-          zh_Hans: 奥罗莫语
-      - value: ps
-        label:
-          en_US: Pashto
-          zh_Hans: 普什图语
-      - value: fa
-        label:
-          en_US: Persian
-          zh_Hans: 波斯语
-      - value: xx-pirate
-        label:
-          en_US: Pirate
-          zh_Hans: 海盗语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: qu
-        label:
-          en_US: Quechua
-          zh_Hans: 克丘亚语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: rm
-        label:
-          en_US: Romansh
-          zh_Hans: 罗曼什语
-      - value: nyn
-        label:
-          en_US: Runyakitara
-          zh_Hans: 卢尼亚基塔拉语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: gd
-        label:
-          en_US: Scots Gaelic
-          zh_Hans: 苏格兰盖尔语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sh
-        label:
-          en_US: Serbo-Croatian
-          zh_Hans: 塞尔维亚-克罗地亚语
-      - value: st
-        label:
-          en_US: Sesotho
-          zh_Hans: 塞索托语
-      - value: tn
-        label:
-          en_US: Setswana
-          zh_Hans: 塞茨瓦纳语
-      - value: crs
-        label:
-          en_US: Seychellois Creole
-          zh_Hans: 塞舌尔克里奥尔语
-      - value: sn
-        label:
-          en_US: Shona
-          zh_Hans: 绍纳语
-      - value: sd
-        label:
-          en_US: Sindhi
-          zh_Hans: 信德语
-      - value: si
-        label:
-          en_US: Sinhalese
-          zh_Hans: 僧伽罗语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: so
-        label:
-          en_US: Somali
-          zh_Hans: 索马里语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: es-419
-        label:
-          en_US: Spanish (Latin American)
-          zh_Hans: 西班牙语（拉丁美洲）
-      - value: su
-        label:
-          en_US: Sundanese
-          zh_Hans: 巽他语
-      - value: sw
-        label:
-          en_US: Swahili
-          zh_Hans: 斯瓦希里语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: tg
-        label:
-          en_US: Tajik
-          zh_Hans: 塔吉克语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: tt
-        label:
-          en_US: Tatar
-          zh_Hans: 鞑靼语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: ti
-        label:
-          en_US: Tigrinya
-          zh_Hans: 提格利尼亚语
-      - value: to
-        label:
-          en_US: Tonga
-          zh_Hans: 汤加语
-      - value: lua
-        label:
-          en_US: Tshiluba
-          zh_Hans: 卢巴语
-      - value: tum
-        label:
-          en_US: Tumbuka
-          zh_Hans: 图布卡语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: tk
-        label:
-          en_US: Turkmen
-          zh_Hans: 土库曼语
-      - value: tw
-        label:
-          en_US: Twi
-          zh_Hans: 契维语
-      - value: ug
-        label:
-          en_US: Uighur
-          zh_Hans: 维吾尔语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: ur
-        label:
-          en_US: Urdu
-          zh_Hans: 乌尔都语
-      - value: uz
-        label:
-          en_US: Uzbek
-          zh_Hans: 乌兹别克语
-      - value: vu
-        label:
-          en_US: Vanuatu
-          zh_Hans: 瓦努阿图语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-      - value: cy
-        label:
-          en_US: Welsh
-          zh_Hans: 威尔士语
-      - value: wo
-        label:
-          en_US: Wolof
-          zh_Hans: 沃洛夫语
-      - value: xh
-        label:
-          en_US: Xhosa
-          zh_Hans: 科萨语
-      - value: yi
-        label:
-          en_US: Yiddish
-          zh_Hans: 意第绪语
-      - value: yo
-        label:
-          en_US: Yoruba
-          zh_Hans: 约鲁巴语
-      - value: zu
-        label:
-          en_US: Zulu
-          zh_Hans: 祖鲁语
-  - name: google_domain
-    type: string
-    required: false
-    label:
-      en_US: google_domain
-      zh_Hans: google_domain
-    human_description:
-      en_US: Defines the Google domain of the search. Default is "google.com".
-      zh_Hans: 定义搜索的 Google 域。默认为“google.com”。
-    llm_description: Defines Google domain in which you want to search.
-    form: llm
-  - name: num
-    type: number
-    required: false
-    label:
-      en_US: num
-      zh_Hans: num
-    human_description:
-      en_US: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1.
-      zh_Hans: 指定每页显示的结果数。默认值为 10。最大数量 - 100，最小数量 - 1。
-      pt_BR: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1.
-    llm_description: Specifies the num of results to display per page.
-    form: llm
diff --git a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py b/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py
deleted file mode 100644
index b14821f831..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py
+++ /dev/null
@@ -1,75 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SEARCH_API_URL = "https://www.searchapi.io/api/v1/search"
-
-
-class SearchAPI:
-    """
-    SearchAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SearchAPI tool provider."""
-        self.searchapi_api_key = api_key
-
-    def run(self, video_id: str, language: str, **kwargs: Any) -> str:
-        """Run video_id through SearchAPI and parse result."""
-        return self._process_response(self.results(video_id, language, **kwargs))
-
-    def results(self, video_id: str, language: str, **kwargs: Any) -> dict:
-        """Run video_id through SearchAPI and return the raw result."""
-        params = self.get_params(video_id, language, **kwargs)
-        response = requests.get(
-            url=SEARCH_API_URL,
-            params=params,
-            headers={"Authorization": f"Bearer {self.searchapi_api_key}"},
-        )
-        response.raise_for_status()
-        return response.json()
-
-    def get_params(self, video_id: str, language: str, **kwargs: Any) -> dict[str, str]:
-        """Get parameters for SearchAPI."""
-        return {
-            "engine": "youtube_transcripts",
-            "video_id": video_id,
-            "lang": language or "en",
-            **{key: value for key, value in kwargs.items() if value not in {None, ""}},
-        }
-
-    @staticmethod
-    def _process_response(res: dict) -> str:
-        """Process response from SearchAPI."""
-        if "error" in res:
-            return res["error"]
-
-        toret = ""
-        if "transcripts" in res and "text" in res["transcripts"][0]:
-            for item in res["transcripts"]:
-                toret += item["text"] + " "
-        if toret == "":
-            toret = "No good search result found"
-
-        return toret
-
-
-class YoutubeTranscriptsTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SearchApi tool.
-        """
-        video_id = tool_parameters["video_id"]
-        language = tool_parameters.get("language", "en")
-
-        api_key = self.runtime.credentials["searchapi_api_key"]
-        result = SearchAPI(api_key).run(video_id, language=language)
-
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml b/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml
deleted file mode 100644
index 8bdcd6bb93..0000000000
--- a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-identity:
-  name: youtube_transcripts_api
-  author: SearchApi
-  label:
-    en_US: YouTube Transcripts API
-    zh_Hans: YouTube 脚本 API
-description:
-  human:
-    en_US: A tool to retrieve transcripts from the specific YouTube video.
-    zh_Hans: 一种从特定 YouTube 视频检索文字记录的工具。
-  llm: A tool to retrieve transcripts from the specific YouTube video.
-parameters:
-  - name: video_id
-    type: string
-    required: true
-    label:
-      en_US: video_id
-      zh_Hans: 视频ID
-    human_description:
-      en_US: Used to define the video you want to search. You can find the video id's in YouTube page that appears in URL. For example - https://www.youtube.com/watch?v=video_id.
-      zh_Hans: 用于定义要搜索的视频。您可以在 URL 中显示的 YouTube 页面中找到视频 ID。例如 - https://www.youtube.com/watch?v=video_id。
-    llm_description: Used to define the video you want to search.
-    form: llm
-  - name: language
-    type: string
-    required: false
-    label:
-      en_US: language
-      zh_Hans: 语言
-    human_description:
-      en_US: Used to set the language for transcripts. The default value is "en". You can find all supported languages in SearchApi documentation.
-      zh_Hans: 用于设置成绩单的语言。默认值为“en”。您可以在 SearchApi 文档中找到所有支持的语言。
-    llm_description: Used to set the language for transcripts.
-    form: llm
diff --git a/api/core/tools/provider/builtin/searxng/_assets/icon.svg b/api/core/tools/provider/builtin/searxng/_assets/icon.svg
deleted file mode 100644
index b94fe3728a..0000000000
--- a/api/core/tools/provider/builtin/searxng/_assets/icon.svg
+++ /dev/null
@@ -1,56 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg
-   xmlns:dc="http://purl.org/dc/elements/1.1/"
-   xmlns:cc="http://creativecommons.org/ns#"
-   xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
-   xmlns:svg="http://www.w3.org/2000/svg"
-   xmlns="http://www.w3.org/2000/svg"
-   id="svg8"
-   version="1.1"
-   viewBox="0 0 92 92"
-   height="92mm"
-   width="92mm">
-  <defs
-     id="defs2" />
-  <metadata
-     id="metadata5">
-    <rdf:RDF>
-      <cc:Work
-         rdf:about="">
-        <dc:format>image/svg+xml</dc:format>
-        <dc:type
-           rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
-        <dc:title></dc:title>
-      </cc:Work>
-    </rdf:RDF>
-  </metadata>
-  <g
-     transform="translate(-40.921303,-17.416526)"
-     id="layer1">
-    <circle
-       r="0"
-       style="fill:none;stroke:#000000;stroke-width:12;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
-       cy="92"
-       cx="75"
-       id="path3713" />
-    <circle
-       r="30"
-       cy="53.902557"
-       cx="75.921303"
-       id="path834"
-       style="fill:none;fill-opacity:1;stroke:#3050ff;stroke-width:10;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
-    <path
-       d="m 67.514849,37.91524 a 18,18 0 0 1 21.051475,3.312407 18,18 0 0 1 3.137312,21.078282"
-       id="path852"
-       style="fill:none;fill-opacity:1;stroke:#3050ff;stroke-width:5;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
-    <rect
-       transform="rotate(-46.234709)"
-       ry="1.8669105e-13"
-       y="122.08995"
-       x="3.7063529"
-       height="39.963303"
-       width="18.846331"
-       id="rect912"
-       style="opacity:1;fill:#3050ff;fill-opacity:1;stroke:none;stroke-width:8;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
-  </g>
-</svg>
diff --git a/api/core/tools/provider/builtin/searxng/docker/settings.yml b/api/core/tools/provider/builtin/searxng/docker/settings.yml
deleted file mode 100644
index 18e1868800..0000000000
--- a/api/core/tools/provider/builtin/searxng/docker/settings.yml
+++ /dev/null
@@ -1,2501 +0,0 @@
-general:
-  # Debug mode, only for development. Is overwritten by ${SEARXNG_DEBUG}
-  debug: false
-  # displayed name
-  instance_name: "searxng"
-  # For example: https://example.com/privacy
-  privacypolicy_url: false
-  # use true to use your own donation page written in searx/info/en/donate.md
-  # use false to disable the donation link
-  donation_url: false
-  # mailto:contact@example.com
-  contact_url: false
-  # record stats
-  enable_metrics: true
-
-brand:
-  new_issue_url: https://github.com/searxng/searxng/issues/new
-  docs_url: https://docs.searxng.org/
-  public_instances: https://searx.space
-  wiki_url: https://github.com/searxng/searxng/wiki
-  issue_url: https://github.com/searxng/searxng/issues
-  # custom:
-  #   maintainer: "Jon Doe"
-  #   # Custom entries in the footer: [title]: [link]
-  #   links:
-  #     Uptime: https://uptime.searxng.org/history/darmarit-org
-  #     About: "https://searxng.org"
-
-search:
-  # Filter results. 0: None, 1: Moderate, 2: Strict
-  safe_search: 0
-  # Existing autocomplete backends: "dbpedia", "duckduckgo", "google", "yandex", "mwmbl",
-  # "seznam", "startpage", "stract", "swisscows", "qwant", "wikipedia" - leave blank to turn it off
-  # by default.
-  autocomplete: ""
-  # minimun characters to type before autocompleter starts
-  autocomplete_min: 4
-  # Default search language - leave blank to detect from browser information or
-  # use codes from 'languages.py'
-  default_lang: "auto"
-  # max_page: 0  # if engine supports paging, 0 means unlimited numbers of pages
-  # Available languages
-  # languages:
-  #   - all
-  #   - en
-  #   - en-US
-  #   - de
-  #   - it-IT
-  #   - fr
-  #   - fr-BE
-  # ban time in seconds after engine errors
-  ban_time_on_fail: 5
-  # max ban time in seconds after engine errors
-  max_ban_time_on_fail: 120
-  suspended_times:
-    # Engine suspension time after error (in seconds; set to 0 to disable)
-    # For error "Access denied" and "HTTP error [402, 403]"
-    SearxEngineAccessDenied: 86400
-    # For error "CAPTCHA"
-    SearxEngineCaptcha: 86400
-    # For error "Too many request" and "HTTP error 429"
-    SearxEngineTooManyRequests: 3600
-    # Cloudflare CAPTCHA
-    cf_SearxEngineCaptcha: 1296000
-    cf_SearxEngineAccessDenied: 86400
-    # ReCAPTCHA
-    recaptcha_SearxEngineCaptcha: 604800
-
-  # remove format to deny access, use lower case.
-  # formats: [html, csv, json, rss]
-  formats:
-    - html
-    - json
-
-server:
-  # Is overwritten by ${SEARXNG_PORT} and ${SEARXNG_BIND_ADDRESS}
-  port: 8888
-  bind_address: "127.0.0.1"
-  # public URL of the instance, to ensure correct inbound links. Is overwritten
-  # by ${SEARXNG_URL}.
-  base_url: http://0.0.0.0:8081/  # "http://example.com/location"
-  # rate limit the number of request on the instance, block some bots.
-  # Is overwritten by ${SEARXNG_LIMITER}
-  limiter: false
-  # enable features designed only for public instances.
-  # Is overwritten by ${SEARXNG_PUBLIC_INSTANCE}
-  public_instance: false
-
-  # If your instance owns a /etc/searxng/settings.yml file, then set the following
-  # values there.
-
-  secret_key: "772ba36386fb56d0f8fe818941552dabbe69220d4c0eb4a385a5729cdbc20c2d"  # Is overwritten by ${SEARXNG_SECRET}
-  # Proxy image results through SearXNG. Is overwritten by ${SEARXNG_IMAGE_PROXY}
-  image_proxy: false
-  # 1.0 and 1.1 are supported
-  http_protocol_version: "1.0"
-  # POST queries are more secure as they don't show up in history but may cause
-  # problems when using Firefox containers
-  method: "POST"
-  default_http_headers:
-    X-Content-Type-Options: nosniff
-    X-Download-Options: noopen
-    X-Robots-Tag: noindex, nofollow
-    Referrer-Policy: no-referrer
-
-redis:
-  # URL to connect redis database. Is overwritten by ${SEARXNG_REDIS_URL}.
-  # https://docs.searxng.org/admin/settings/settings_redis.html#settings-redis
-  url: false
-
-ui:
-  # Custom static path - leave it blank if you didn't change
-  static_path: ""
-  # Is overwritten by ${SEARXNG_STATIC_USE_HASH}.
-  static_use_hash: false
-  # Custom templates path - leave it blank if you didn't change
-  templates_path: ""
-  # query_in_title: When true, the result page's titles contains the query
-  # it decreases the privacy, since the browser can records the page titles.
-  query_in_title: false
-  # infinite_scroll: When true, automatically loads the next page when scrolling to bottom of the current page.
-  infinite_scroll: false
-  # ui theme
-  default_theme: simple
-  # center the results ?
-  center_alignment: false
-  # URL prefix of the internet archive, don't forget trailing slash (if needed).
-  # cache_url: "https://webcache.googleusercontent.com/search?q=cache:"
-  # Default interface locale - leave blank to detect from browser information or
-  # use codes from the 'locales' config section
-  default_locale: ""
-  # Open result links in a new tab by default
-  # results_on_new_tab: false
-  theme_args:
-    # style of simple theme: auto, light, dark
-    simple_style: auto
-  # Perform search immediately if a category selected.
-  # Disable to select multiple categories at once and start the search manually.
-  search_on_category_select: true
-  # Hotkeys: default or vim
-  hotkeys: default
-
-# Lock arbitrary settings on the preferences page.  To find the ID of the user
-# setting you want to lock, check the ID of the form on the page "preferences".
-#
-# preferences:
-#   lock:
-#     - language
-#     - autocomplete
-#     - method
-#     - query_in_title
-
-# searx supports result proxification using an external service:
-# https://github.com/asciimoo/morty uncomment below section if you have running
-# morty proxy the key is base64 encoded (keep the !!binary notation)
-# Note: since commit af77ec3, morty accepts a base64 encoded key.
-#
-# result_proxy:
-#   url: http://127.0.0.1:3000/
-#   # the key is a base64 encoded string, the YAML !!binary prefix is optional
-#   key: !!binary "your_morty_proxy_key"
-#   # [true|false] enable the "proxy" button next to each result
-#   proxify_results: true
-
-# communication with search engines
-#
-outgoing:
-  # default timeout in seconds, can be override by engine
-  request_timeout: 3.0
-  # the maximum timeout in seconds
-  # max_request_timeout: 10.0
-  # suffix of searx_useragent, could contain information like an email address
-  # to the administrator
-  useragent_suffix: ""
-  # The maximum number of concurrent connections that may be established.
-  pool_connections: 100
-  # Allow the connection pool to maintain keep-alive connections below this
-  # point.
-  pool_maxsize: 20
-  # See https://www.python-httpx.org/http2/
-  enable_http2: true
-  # uncomment below section if you want to use a custom server certificate
-  # see https://www.python-httpx.org/advanced/#changing-the-verification-defaults
-  # and https://www.python-httpx.org/compatibility/#ssl-configuration
-  #  verify: ~/.mitmproxy/mitmproxy-ca-cert.cer
-  #
-  # uncomment below section if you want to use a proxyq see: SOCKS proxies
-  #   https://2.python-requests.org/en/latest/user/advanced/#proxies
-  # are also supported: see
-  #   https://2.python-requests.org/en/latest/user/advanced/#socks
-  #
-  #  proxies:
-  #    all://:
-  #      - http://host.docker.internal:1080
-  #
-  #  using_tor_proxy: true
-  #
-  # Extra seconds to add in order to account for the time taken by the proxy
-  #
-  #  extra_proxy_timeout: 10
-  #
-  # uncomment below section only if you have more than one network interface
-  # which can be the source of outgoing search requests
-  #
-  #  source_ips:
-  #    - 1.1.1.1
-  #    - 1.1.1.2
-  #    - fe80::/126
-
-# External plugin configuration, for more details see
-#   https://docs.searxng.org/dev/plugins.html
-#
-# plugins:
-#   - plugin1
-#   - plugin2
-#   - ...
-
-# Comment or un-comment plugin to activate / deactivate by default.
-#
-# enabled_plugins:
-#   # these plugins are enabled if nothing is configured ..
-#   - 'Hash plugin'
-#   - 'Self Information'
-#   - 'Tracker URL remover'
-#   - 'Ahmia blacklist'  # activation depends on outgoing.using_tor_proxy
-#   # these plugins are disabled if nothing is configured ..
-#   - 'Hostnames plugin'  # see 'hostnames' configuration below
-#   - 'Basic Calculator'
-#   - 'Open Access DOI rewrite'
-#   - 'Tor check plugin'
-#   # Read the docs before activate: auto-detection of the language could be
-#   # detrimental to users expectations / users can activate the plugin in the
-#   # preferences if they want.
-#   - 'Autodetect search language'
-
-# Configuration of the "Hostnames plugin":
-#
-# hostnames:
-#   replace:
-#     '(.*\.)?youtube\.com$': 'invidious.example.com'
-#     '(.*\.)?youtu\.be$': 'invidious.example.com'
-#     '(.*\.)?reddit\.com$': 'teddit.example.com'
-#     '(.*\.)?redd\.it$': 'teddit.example.com'
-#     '(www\.)?twitter\.com$': 'nitter.example.com'
-#   remove:
-#     - '(.*\.)?facebook.com$'
-#   low_priority:
-#     - '(.*\.)?google(\..*)?$'
-#   high_priority:
-#     - '(.*\.)?wikipedia.org$'
-#
-# Alternatively you can use external files for configuring the "Hostnames plugin":
-#
-# hostnames:
-#  replace: 'rewrite-hosts.yml'
-#
-# Content of 'rewrite-hosts.yml' (place the file in the same directory as 'settings.yml'):
-# '(.*\.)?youtube\.com$': 'invidious.example.com'
-# '(.*\.)?youtu\.be$': 'invidious.example.com'
-#
-
-checker:
-  # disable checker when in debug mode
-  off_when_debug: true
-
-  # use "scheduling: false" to disable scheduling
-  # scheduling: interval or int
-
-  # to activate the scheduler:
-  # * uncomment "scheduling" section
-  # * add "cache2 = name=searxngcache,items=2000,blocks=2000,blocksize=4096,bitmap=1"
-  #   to your uwsgi.ini
-
-  # scheduling:
-  #   start_after: [300, 1800]  # delay to start the first run of the checker
-  #   every: [86400, 90000]     # how often the checker runs
-
-  # additional tests: only for the YAML anchors (see the engines section)
-  #
-  additional_tests:
-    rosebud: &test_rosebud
-      matrix:
-        query: rosebud
-        lang: en
-      result_container:
-        - not_empty
-        - ['one_title_contains', 'citizen kane']
-      test:
-        - unique_results
-
-    android: &test_android
-      matrix:
-        query: ['android']
-        lang: ['en', 'de', 'fr', 'zh-CN']
-      result_container:
-        - not_empty
-        - ['one_title_contains', 'google']
-      test:
-        - unique_results
-
-  # tests: only for the YAML anchors (see the engines section)
-  tests:
-    infobox: &tests_infobox
-      infobox:
-        matrix:
-          query: ["linux", "new york", "bbc"]
-        result_container:
-          - has_infobox
-
-categories_as_tabs:
-  general:
-  images:
-  videos:
-  news:
-  map:
-  music:
-  it:
-  science:
-  files:
-  social media:
-
-engines:
-  - name: 9gag
-    engine: 9gag
-    shortcut: 9g
-    disabled: true
-
-  - name: alpine linux packages
-    engine: alpinelinux
-    disabled: true
-    shortcut: alp
-
-  - name: annas archive
-    engine: annas_archive
-    disabled: true
-    shortcut: aa
-
-  # - name: annas articles
-  #   engine: annas_archive
-  #   shortcut: aaa
-  #   # https://docs.searxng.org/dev/engines/online/annas_archive.html
-  #   aa_content: 'magazine' # book_fiction, book_unknown, book_nonfiction, book_comic
-  #   aa_ext: 'pdf'  # pdf, epub, ..
-  #   aa_sort: oldest'  # newest, oldest, largest, smallest
-
-  - name: apk mirror
-    engine: apkmirror
-    timeout: 4.0
-    shortcut: apkm
-    disabled: true
-
-  - name: apple app store
-    engine: apple_app_store
-    shortcut: aps
-    disabled: true
-
-  # Requires Tor
-  - name: ahmia
-    engine: ahmia
-    categories: onions
-    enable_http: true
-    shortcut: ah
-
-  - name: anaconda
-    engine: xpath
-    paging: true
-    first_page_num: 0
-    search_url: https://anaconda.org/search?q={query}&page={pageno}
-    results_xpath: //tbody/tr
-    url_xpath: ./td/h5/a[last()]/@href
-    title_xpath: ./td/h5
-    content_xpath: ./td[h5]/text()
-    categories: it
-    timeout: 6.0
-    shortcut: conda
-    disabled: true
-
-  - name: arch linux wiki
-    engine: archlinux
-    shortcut: al
-
-  - name: artic
-    engine: artic
-    shortcut: arc
-    timeout: 4.0
-
-  - name: arxiv
-    engine: arxiv
-    shortcut: arx
-    timeout: 4.0
-
-  - name: ask
-    engine: ask
-    shortcut: ask
-    disabled: true
-
-  # tmp suspended:  dh key too small
-  # - name: base
-  #   engine: base
-  #   shortcut: bs
-
-  - name: bandcamp
-    engine: bandcamp
-    shortcut: bc
-    categories: music
-
-  - name: wikipedia
-    engine: wikipedia
-    shortcut: wp
-    # add "list" to the array to get results in the results list
-    display_type: ["infobox"]
-    base_url: 'https://{language}.wikipedia.org/'
-    categories: [general]
-
-  - name: bilibili
-    engine: bilibili
-    shortcut: bil
-    disabled: true
-
-  - name: bing
-    engine: bing
-    shortcut: bi
-    disabled: false
-
-  - name: bing images
-    engine: bing_images
-    shortcut: bii
-
-  - name: bing news
-    engine: bing_news
-    shortcut: bin
-
-  - name: bing videos
-    engine: bing_videos
-    shortcut: biv
-
-  - name: bitbucket
-    engine: xpath
-    paging: true
-    search_url: https://bitbucket.org/repo/all/{pageno}?name={query}
-    url_xpath: //article[@class="repo-summary"]//a[@class="repo-link"]/@href
-    title_xpath: //article[@class="repo-summary"]//a[@class="repo-link"]
-    content_xpath: //article[@class="repo-summary"]/p
-    categories: [it, repos]
-    timeout: 4.0
-    disabled: true
-    shortcut: bb
-    about:
-      website: https://bitbucket.org/
-      wikidata_id: Q2493781
-      official_api_documentation: https://developer.atlassian.com/bitbucket
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: bpb
-    engine: bpb
-    shortcut: bpb
-    disabled: true
-
-  - name: btdigg
-    engine: btdigg
-    shortcut: bt
-    disabled: true
-
-  - name: openverse
-    engine: openverse
-    categories: images
-    shortcut: opv
-
-  - name: media.ccc.de
-    engine: ccc_media
-    shortcut: c3tv
-    # We don't set language: de here because media.ccc.de is not just
-    # for a German audience. It contains many English videos and many
-    # German videos have English subtitles.
-    disabled: true
-
-  - name: chefkoch
-    engine: chefkoch
-    shortcut: chef
-    # to show premium or plus results too:
-    # skip_premium: false
-
-  # - name: core.ac.uk
-  #   engine: core
-  #   categories: science
-  #   shortcut: cor
-  #   # get your API key from: https://core.ac.uk/api-keys/register/
-  #   api_key: 'unset'
-
-  - name: cppreference
-    engine: cppreference
-    shortcut: cpp
-    paging: false
-    disabled: true
-
-  - name: crossref
-    engine: crossref
-    shortcut: cr
-    timeout: 30
-    disabled: true
-
-  - name: crowdview
-    engine: json_engine
-    shortcut: cv
-    categories: general
-    paging: false
-    search_url: https://crowdview-next-js.onrender.com/api/search-v3?query={query}
-    results_query: results
-    url_query: link
-    title_query: title
-    content_query: snippet
-    disabled: true
-    about:
-      website: https://crowdview.ai/
-
-  - name: yep
-    engine: yep
-    shortcut: yep
-    categories: general
-    search_type: web
-    timeout: 5
-    disabled: true
-
-  - name: yep images
-    engine: yep
-    shortcut: yepi
-    categories: images
-    search_type: images
-    disabled: true
-
-  - name: yep news
-    engine: yep
-    shortcut: yepn
-    categories: news
-    search_type: news
-    disabled: true
-
-  - name: curlie
-    engine: xpath
-    shortcut: cl
-    categories: general
-    disabled: true
-    paging: true
-    lang_all: ''
-    search_url: https://curlie.org/search?q={query}&lang={lang}&start={pageno}&stime=92452189
-    page_size: 20
-    results_xpath: //div[@id="site-list-content"]/div[@class="site-item"]
-    url_xpath: ./div[@class="title-and-desc"]/a/@href
-    title_xpath: ./div[@class="title-and-desc"]/a/div
-    content_xpath: ./div[@class="title-and-desc"]/div[@class="site-descr"]
-    about:
-      website: https://curlie.org/
-      wikidata_id: Q60715723
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: currency
-    engine: currency_convert
-    categories: general
-    shortcut: cc
-
-  - name: bahnhof
-    engine: json_engine
-    search_url: https://www.bahnhof.de/api/stations/search/{query}
-    url_prefix: https://www.bahnhof.de/
-    url_query: slug
-    title_query: name
-    content_query: state
-    shortcut: bf
-    disabled: true
-    about:
-      website: https://www.bahn.de
-      wikidata_id: Q22811603
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-      language: de
-    tests:
-      bahnhof:
-        matrix:
-          query: berlin
-          lang: en
-        result_container:
-          - not_empty
-          - ['one_title_contains', 'Berlin Hauptbahnhof']
-        test:
-          - unique_results
-
-  - name: deezer
-    engine: deezer
-    shortcut: dz
-    disabled: true
-
-  - name: destatis
-    engine: destatis
-    shortcut: destat
-    disabled: true
-
-  - name: deviantart
-    engine: deviantart
-    shortcut: da
-    timeout: 3.0
-
-  - name: ddg definitions
-    engine: duckduckgo_definitions
-    shortcut: ddd
-    weight: 2
-    disabled: true
-    tests: *tests_infobox
-
-  # cloudflare protected
-  # - name: digbt
-  #   engine: digbt
-  #   shortcut: dbt
-  #   timeout: 6.0
-  #   disabled: true
-
-  - name: docker hub
-    engine: docker_hub
-    shortcut: dh
-    categories: [it, packages]
-
-  - name: encyclosearch
-    engine: json_engine
-    shortcut: es
-    categories: general
-    paging: true
-    search_url: https://encyclosearch.org/encyclosphere/search?q={query}&page={pageno}&resultsPerPage=15
-    results_query: Results
-    url_query: SourceURL
-    title_query: Title
-    content_query: Description
-    disabled: true
-    about:
-      website: https://encyclosearch.org
-      official_api_documentation: https://encyclosearch.org/docs/#/rest-api
-      use_official_api: true
-      require_api_key: false
-      results: JSON
-
-  - name: erowid
-    engine: xpath
-    paging: true
-    first_page_num: 0
-    page_size: 30
-    search_url: https://www.erowid.org/search.php?q={query}&s={pageno}
-    url_xpath: //dl[@class="results-list"]/dt[@class="result-title"]/a/@href
-    title_xpath: //dl[@class="results-list"]/dt[@class="result-title"]/a/text()
-    content_xpath: //dl[@class="results-list"]/dd[@class="result-details"]
-    categories: []
-    shortcut: ew
-    disabled: true
-    about:
-      website: https://www.erowid.org/
-      wikidata_id: Q1430691
-      official_api_documentation:
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  # - name: elasticsearch
-  #   shortcut: es
-  #   engine: elasticsearch
-  #   base_url: http://localhost:9200
-  #   username: elastic
-  #   password: changeme
-  #   index: my-index
-  #   # available options: match, simple_query_string, term, terms, custom
-  #   query_type: match
-  #   # if query_type is set to custom, provide your query here
-  #   #custom_query_json: {"query":{"match_all": {}}}
-  #   #show_metadata: false
-  #   disabled: true
-
-  - name: wikidata
-    engine: wikidata
-    shortcut: wd
-    timeout: 3.0
-    weight: 2
-    # add "list" to the array to get results in the results list
-    display_type: ["infobox"]
-    tests: *tests_infobox
-    categories: [general]
-
-  - name: duckduckgo
-    engine: duckduckgo
-    shortcut: ddg
-
-  - name: duckduckgo images
-    engine: duckduckgo_extra
-    categories: [images, web]
-    ddg_category: images
-    shortcut: ddi
-    disabled: true
-
-  - name: duckduckgo videos
-    engine: duckduckgo_extra
-    categories: [videos, web]
-    ddg_category: videos
-    shortcut: ddv
-    disabled: true
-
-  - name: duckduckgo news
-    engine: duckduckgo_extra
-    categories: [news, web]
-    ddg_category: news
-    shortcut: ddn
-    disabled: true
-
-  - name: duckduckgo weather
-    engine: duckduckgo_weather
-    shortcut: ddw
-    disabled: true
-
-  - name: apple maps
-    engine: apple_maps
-    shortcut: apm
-    disabled: true
-    timeout: 5.0
-
-  - name: emojipedia
-    engine: emojipedia
-    timeout: 4.0
-    shortcut: em
-    disabled: true
-
-  - name: tineye
-    engine: tineye
-    shortcut: tin
-    timeout: 9.0
-    disabled: true
-
-  - name: etymonline
-    engine: xpath
-    paging: true
-    search_url: https://etymonline.com/search?page={pageno}&q={query}
-    url_xpath: //a[contains(@class, "word__name--")]/@href
-    title_xpath: //a[contains(@class, "word__name--")]
-    content_xpath: //section[contains(@class, "word__defination")]
-    first_page_num: 1
-    shortcut: et
-    categories: [dictionaries]
-    about:
-      website: https://www.etymonline.com/
-      wikidata_id: Q1188617
-      official_api_documentation:
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  # - name: ebay
-  #   engine: ebay
-  #   shortcut: eb
-  #   base_url: 'https://www.ebay.com'
-  #   disabled: true
-  #   timeout: 5
-
-  - name: 1x
-    engine: www1x
-    shortcut: 1x
-    timeout: 3.0
-    disabled: true
-
-  - name: fdroid
-    engine: fdroid
-    shortcut: fd
-    disabled: true
-
-  - name: findthatmeme
-    engine: findthatmeme
-    shortcut: ftm
-    disabled: true
-
-  - name: flickr
-    categories: images
-    shortcut: fl
-    # You can use the engine using the official stable API, but you need an API
-    # key, see: https://www.flickr.com/services/apps/create/
-    # engine: flickr
-    # api_key: 'apikey' # required!
-    # Or you can use the html non-stable engine, activated by default
-    engine: flickr_noapi
-
-  - name: free software directory
-    engine: mediawiki
-    shortcut: fsd
-    categories: [it, software wikis]
-    base_url: https://directory.fsf.org/
-    search_type: title
-    timeout: 5.0
-    disabled: true
-    about:
-      website: https://directory.fsf.org/
-      wikidata_id: Q2470288
-
-  # - name: freesound
-  #   engine: freesound
-  #   shortcut: fnd
-  #   disabled: true
-  #   timeout: 15.0
-  # API key required, see: https://freesound.org/docs/api/overview.html
-  #   api_key: MyAPIkey
-
-  - name: frinkiac
-    engine: frinkiac
-    shortcut: frk
-    disabled: true
-
-  - name: fyyd
-    engine: fyyd
-    shortcut: fy
-    timeout: 8.0
-    disabled: true
-
-  - name: geizhals
-    engine: geizhals
-    shortcut: geiz
-    disabled: true
-
-  - name: genius
-    engine: genius
-    shortcut: gen
-
-  - name: gentoo
-    engine: mediawiki
-    shortcut: ge
-    categories: ["it", "software wikis"]
-    base_url: "https://wiki.gentoo.org/"
-    api_path: "api.php"
-    search_type: text
-    timeout: 10
-
-  - name: gitlab
-    engine: json_engine
-    paging: true
-    search_url: https://gitlab.com/api/v4/projects?search={query}&page={pageno}
-    url_query: web_url
-    title_query: name_with_namespace
-    content_query: description
-    page_size: 20
-    categories: [it, repos]
-    shortcut: gl
-    timeout: 10.0
-    disabled: true
-    about:
-      website: https://about.gitlab.com/
-      wikidata_id: Q16639197
-      official_api_documentation: https://docs.gitlab.com/ee/api/
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-
-  - name: github
-    engine: github
-    shortcut: gh
-
-  - name: codeberg
-    # https://docs.searxng.org/dev/engines/online/gitea.html
-    engine: gitea
-    base_url: https://codeberg.org
-    shortcut: cb
-    disabled: true
-
-  - name: gitea.com
-    engine: gitea
-    base_url: https://gitea.com
-    shortcut: gitea
-    disabled: true
-
-  - name: goodreads
-    engine: goodreads
-    shortcut: good
-    timeout: 4.0
-    disabled: true
-
-  - name: google
-    engine: google
-    shortcut: go
-    # additional_tests:
-    #   android: *test_android
-
-  - name: google images
-    engine: google_images
-    shortcut: goi
-    # additional_tests:
-    #   android: *test_android
-    #   dali:
-    #     matrix:
-    #       query: ['Dali Christ']
-    #       lang: ['en', 'de', 'fr', 'zh-CN']
-    #     result_container:
-    #       - ['one_title_contains', 'Salvador']
-
-  - name: google news
-    engine: google_news
-    shortcut: gon
-    # additional_tests:
-    #   android: *test_android
-
-  - name: google videos
-    engine: google_videos
-    shortcut: gov
-    # additional_tests:
-    #   android: *test_android
-
-  - name: google scholar
-    engine: google_scholar
-    shortcut: gos
-
-  - name: google play apps
-    engine: google_play
-    categories: [files, apps]
-    shortcut: gpa
-    play_categ: apps
-    disabled: true
-
-  - name: google play movies
-    engine: google_play
-    categories: videos
-    shortcut: gpm
-    play_categ: movies
-    disabled: true
-
-  - name: material icons
-    engine: material_icons
-    categories: images
-    shortcut: mi
-    disabled: true
-
-  - name: gpodder
-    engine: json_engine
-    shortcut: gpod
-    timeout: 4.0
-    paging: false
-    search_url: https://gpodder.net/search.json?q={query}
-    url_query: url
-    title_query: title
-    content_query: description
-    page_size: 19
-    categories: music
-    disabled: true
-    about:
-      website: https://gpodder.net
-      wikidata_id: Q3093354
-      official_api_documentation: https://gpoddernet.readthedocs.io/en/latest/api/
-      use_official_api: false
-      requires_api_key: false
-      results: JSON
-
-  - name: habrahabr
-    engine: xpath
-    paging: true
-    search_url: https://habr.com/en/search/page{pageno}/?q={query}
-    results_xpath: //article[contains(@class, "tm-articles-list__item")]
-    url_xpath: .//a[@class="tm-title__link"]/@href
-    title_xpath: .//a[@class="tm-title__link"]
-    content_xpath: .//div[contains(@class, "article-formatted-body")]
-    categories: it
-    timeout: 4.0
-    disabled: true
-    shortcut: habr
-    about:
-      website: https://habr.com/
-      wikidata_id: Q4494434
-      official_api_documentation: https://habr.com/en/docs/help/api/
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: hackernews
-    engine: hackernews
-    shortcut: hn
-    disabled: true
-
-  - name: hex
-    engine: hex
-    shortcut: hex
-    disabled: true
-    # Valid values: name inserted_at updated_at total_downloads recent_downloads
-    sort_criteria: "recent_downloads"
-    page_size: 10
-
-  - name: crates.io
-    engine: crates
-    shortcut: crates
-    disabled: true
-    timeout: 6.0
-
-  - name: hoogle
-    engine: xpath
-    search_url: https://hoogle.haskell.org/?hoogle={query}
-    results_xpath: '//div[@class="result"]'
-    title_xpath: './/div[@class="ans"]//a'
-    url_xpath: './/div[@class="ans"]//a/@href'
-    content_xpath: './/div[@class="from"]'
-    page_size: 20
-    categories: [it, packages]
-    shortcut: ho
-    about:
-      website: https://hoogle.haskell.org/
-      wikidata_id: Q34010
-      official_api_documentation: https://hackage.haskell.org/api
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-
-  - name: imdb
-    engine: imdb
-    shortcut: imdb
-    timeout: 6.0
-    disabled: true
-
-  - name: imgur
-    engine: imgur
-    shortcut: img
-    disabled: true
-
-  - name: ina
-    engine: ina
-    shortcut: in
-    timeout: 6.0
-    disabled: true
-
-  - name: invidious
-    engine: invidious
-    # Instanes will be selected randomly, see https://api.invidious.io/ for
-    # instances that are stable (good uptime) and close to you.
-    base_url:
-      - https://invidious.io.lol
-      - https://invidious.fdn.fr
-      - https://yt.artemislena.eu
-      - https://invidious.tiekoetter.com
-      - https://invidious.flokinet.to
-      - https://vid.puffyan.us
-      - https://invidious.privacydev.net
-      - https://inv.tux.pizza
-    shortcut: iv
-    timeout: 3.0
-    disabled: true
-
-  - name: jisho
-    engine: jisho
-    shortcut: js
-    timeout: 3.0
-    disabled: true
-
-  - name: kickass
-    engine: kickass
-    base_url:
-      - https://kickasstorrents.to
-      - https://kickasstorrents.cr
-      - https://kickasstorrent.cr
-      - https://kickass.sx
-      - https://kat.am
-    shortcut: kc
-    timeout: 4.0
-    disabled: true
-
-  - name: lemmy communities
-    engine: lemmy
-    lemmy_type: Communities
-    shortcut: leco
-
-  - name: lemmy users
-    engine: lemmy
-    network: lemmy communities
-    lemmy_type: Users
-    shortcut: leus
-
-  - name: lemmy posts
-    engine: lemmy
-    network: lemmy communities
-    lemmy_type: Posts
-    shortcut: lepo
-
-  - name: lemmy comments
-    engine: lemmy
-    network: lemmy communities
-    lemmy_type: Comments
-    shortcut: lecom
-
-  - name: library genesis
-    engine: xpath
-    # search_url: https://libgen.is/search.php?req={query}
-    search_url: https://libgen.rs/search.php?req={query}
-    url_xpath: //a[contains(@href,"book/index.php?md5")]/@href
-    title_xpath: //a[contains(@href,"book/")]/text()[1]
-    content_xpath: //td/a[1][contains(@href,"=author")]/text()
-    categories: files
-    timeout: 7.0
-    disabled: true
-    shortcut: lg
-    about:
-      website: https://libgen.fun/
-      wikidata_id: Q22017206
-      official_api_documentation:
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: z-library
-    engine: zlibrary
-    shortcut: zlib
-    categories: files
-    timeout: 7.0
-    disabled: true
-
-  - name: library of congress
-    engine: loc
-    shortcut: loc
-    categories: images
-
-  - name: libretranslate
-    engine: libretranslate
-    # https://github.com/LibreTranslate/LibreTranslate?tab=readme-ov-file#mirrors
-    base_url:
-      - https://translate.terraprint.co
-      - https://trans.zillyhuhn.com
-    # api_key: abc123
-    shortcut: lt
-    disabled: true
-
-  - name: lingva
-    engine: lingva
-    shortcut: lv
-    # set lingva instance in url, by default it will use the official instance
-    # url: https://lingva.thedaviddelta.com
-
-  - name: lobste.rs
-    engine: xpath
-    search_url: https://lobste.rs/search?q={query}&what=stories&order=relevance
-    results_xpath: //li[contains(@class, "story")]
-    url_xpath: .//a[@class="u-url"]/@href
-    title_xpath: .//a[@class="u-url"]
-    content_xpath: .//a[@class="domain"]
-    categories: it
-    shortcut: lo
-    timeout: 5.0
-    disabled: true
-    about:
-      website: https://lobste.rs/
-      wikidata_id: Q60762874
-      official_api_documentation:
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: mastodon users
-    engine: mastodon
-    mastodon_type: accounts
-    base_url: https://mastodon.social
-    shortcut: mau
-
-  - name: mastodon hashtags
-    engine: mastodon
-    mastodon_type: hashtags
-    base_url: https://mastodon.social
-    shortcut: mah
-
-  # - name: matrixrooms
-  #   engine: mrs
-  #   # https://docs.searxng.org/dev/engines/online/mrs.html
-  #   # base_url: https://mrs-api-host
-  #   shortcut: mtrx
-  #   disabled: true
-
-  - name: mdn
-    shortcut: mdn
-    engine: json_engine
-    categories: [it]
-    paging: true
-    search_url: https://developer.mozilla.org/api/v1/search?q={query}&page={pageno}
-    results_query: documents
-    url_query: mdn_url
-    url_prefix: https://developer.mozilla.org
-    title_query: title
-    content_query: summary
-    about:
-      website: https://developer.mozilla.org
-      wikidata_id: Q3273508
-      official_api_documentation: null
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-
-  - name: metacpan
-    engine: metacpan
-    shortcut: cpan
-    disabled: true
-    number_of_results: 20
-
-  # - name: meilisearch
-  #   engine: meilisearch
-  #   shortcut: mes
-  #   enable_http: true
-  #   base_url: http://localhost:7700
-  #   index: my-index
-
-  - name: mixcloud
-    engine: mixcloud
-    shortcut: mc
-
-  # MongoDB engine
-  # Required dependency: pymongo
-  # - name: mymongo
-  #   engine: mongodb
-  #   shortcut: md
-  #   exact_match_only: false
-  #   host: '127.0.0.1'
-  #   port: 27017
-  #   enable_http: true
-  #   results_per_page: 20
-  #   database: 'business'
-  #   collection: 'reviews'  # name of the db collection
-  #   key: 'name'  # key in the collection to search for
-
-  - name: mozhi
-    engine: mozhi
-    base_url:
-      - https://mozhi.aryak.me
-      - https://translate.bus-hit.me
-      - https://nyc1.mz.ggtyler.dev
-    # mozhi_engine: google - see https://mozhi.aryak.me for supported engines
-    timeout: 4.0
-    shortcut: mz
-    disabled: true
-
-  - name: mwmbl
-    engine: mwmbl
-    # api_url: https://api.mwmbl.org
-    shortcut: mwm
-    disabled: true
-
-  - name: npm
-    engine: npm
-    shortcut: npm
-    timeout: 5.0
-    disabled: true
-
-  - name: nyaa
-    engine: nyaa
-    shortcut: nt
-    disabled: true
-
-  - name: mankier
-    engine: json_engine
-    search_url: https://www.mankier.com/api/v2/mans/?q={query}
-    results_query: results
-    url_query: url
-    title_query: name
-    content_query: description
-    categories: it
-    shortcut: man
-    about:
-      website: https://www.mankier.com/
-      official_api_documentation: https://www.mankier.com/api
-      use_official_api: true
-      require_api_key: false
-      results: JSON
-
-  # read https://docs.searxng.org/dev/engines/online/mullvad_leta.html
-  # - name: mullvadleta
-  #   engine: mullvad_leta
-  #   leta_engine: google # choose one of the following: google, brave
-  #   use_cache: true  # Only 100 non-cache searches per day, suggested only for private instances
-  #   search_url: https://leta.mullvad.net
-  #   categories: [general, web]
-  #   shortcut: ml
-
-  - name: odysee
-    engine: odysee
-    shortcut: od
-    disabled: true
-
-  - name: openairedatasets
-    engine: json_engine
-    paging: true
-    search_url: https://api.openaire.eu/search/datasets?format=json&page={pageno}&size=10&title={query}
-    results_query: response/results/result
-    url_query: metadata/oaf:entity/oaf:result/children/instance/webresource/url/$
-    title_query: metadata/oaf:entity/oaf:result/title/$
-    content_query: metadata/oaf:entity/oaf:result/description/$
-    content_html_to_text: true
-    categories: "science"
-    shortcut: oad
-    timeout: 5.0
-    about:
-      website: https://www.openaire.eu/
-      wikidata_id: Q25106053
-      official_api_documentation: https://api.openaire.eu/
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-
-  - name: openairepublications
-    engine: json_engine
-    paging: true
-    search_url: https://api.openaire.eu/search/publications?format=json&page={pageno}&size=10&title={query}
-    results_query: response/results/result
-    url_query: metadata/oaf:entity/oaf:result/children/instance/webresource/url/$
-    title_query: metadata/oaf:entity/oaf:result/title/$
-    content_query: metadata/oaf:entity/oaf:result/description/$
-    content_html_to_text: true
-    categories: science
-    shortcut: oap
-    timeout: 5.0
-    about:
-      website: https://www.openaire.eu/
-      wikidata_id: Q25106053
-      official_api_documentation: https://api.openaire.eu/
-      use_official_api: false
-      require_api_key: false
-      results: JSON
-
-  - name: openmeteo
-    engine: open_meteo
-    shortcut: om
-    disabled: true
-
-  # - name: opensemanticsearch
-  #   engine: opensemantic
-  #   shortcut: oss
-  #   base_url: 'http://localhost:8983/solr/opensemanticsearch/'
-
-  - name: openstreetmap
-    engine: openstreetmap
-    shortcut: osm
-
-  - name: openrepos
-    engine: xpath
-    paging: true
-    search_url: https://openrepos.net/search/node/{query}?page={pageno}
-    url_xpath: //li[@class="search-result"]//h3[@class="title"]/a/@href
-    title_xpath: //li[@class="search-result"]//h3[@class="title"]/a
-    content_xpath: //li[@class="search-result"]//div[@class="search-snippet-info"]//p[@class="search-snippet"]
-    categories: files
-    timeout: 4.0
-    disabled: true
-    shortcut: or
-    about:
-      website: https://openrepos.net/
-      wikidata_id:
-      official_api_documentation:
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: packagist
-    engine: json_engine
-    paging: true
-    search_url: https://packagist.org/search.json?q={query}&page={pageno}
-    results_query: results
-    url_query: url
-    title_query: name
-    content_query: description
-    categories: [it, packages]
-    disabled: true
-    timeout: 5.0
-    shortcut: pack
-    about:
-      website: https://packagist.org
-      wikidata_id: Q108311377
-      official_api_documentation: https://packagist.org/apidoc
-      use_official_api: true
-      require_api_key: false
-      results: JSON
-
-  - name: pdbe
-    engine: pdbe
-    shortcut: pdb
-    # Hide obsolete PDB entries.  Default is not to hide obsolete structures
-    #  hide_obsolete: false
-
-  - name: photon
-    engine: photon
-    shortcut: ph
-
-  - name: pinterest
-    engine: pinterest
-    shortcut: pin
-
-  - name: piped
-    engine: piped
-    shortcut: ppd
-    categories: videos
-    piped_filter: videos
-    timeout: 3.0
-
-    # URL to use as link and for embeds
-    frontend_url: https://srv.piped.video
-    # Instance will be selected randomly, for more see https://piped-instances.kavin.rocks/
-    backend_url:
-      - https://pipedapi.kavin.rocks
-      - https://pipedapi-libre.kavin.rocks
-      - https://pipedapi.adminforge.de
-
-  - name: piped.music
-    engine: piped
-    network: piped
-    shortcut: ppdm
-    categories: music
-    piped_filter: music_songs
-    timeout: 3.0
-
-  - name: piratebay
-    engine: piratebay
-    shortcut: tpb
-    # You may need to change this URL to a proxy if piratebay is blocked in your
-    # country
-    url: https://thepiratebay.org/
-    timeout: 3.0
-
-  - name: pixiv
-    shortcut: pv
-    engine: pixiv
-    disabled: true
-    inactive: true
-    pixiv_image_proxies:
-      - https://pximg.example.org
-      # A proxy is required to load the images. Hosting an image proxy server
-      # for Pixiv:
-      #    --> https://pixivfe.pages.dev/hosting-image-proxy-server/
-      # Proxies from public instances.  Ask the public instances owners if they
-      # agree to receive traffic from SearXNG!
-      #    --> https://codeberg.org/VnPower/PixivFE#instances
-      #    --> https://github.com/searxng/searxng/pull/3192#issuecomment-1941095047
-      # image proxy of https://pixiv.cat
-      # - https://i.pixiv.cat
-      # image proxy of https://www.pixiv.pics
-      # - https://pximg.cocomi.eu.org
-      # image proxy of https://pixivfe.exozy.me
-      # - https://pximg.exozy.me
-      # image proxy of https://pixivfe.ducks.party
-      # - https://pixiv.ducks.party
-      # image proxy of https://pixiv.perennialte.ch
-      # - https://pximg.perennialte.ch
-
-  - name: podcastindex
-    engine: podcastindex
-    shortcut: podcast
-
-  # Required dependency: psychopg2
-  #  - name: postgresql
-  #    engine: postgresql
-  #    database: postgres
-  #    username: postgres
-  #    password: postgres
-  #    limit: 10
-  #    query_str: 'SELECT * from my_table WHERE my_column = %(query)s'
-  #    shortcut : psql
-
-  - name: presearch
-    engine: presearch
-    search_type: search
-    categories: [general, web]
-    shortcut: ps
-    timeout: 4.0
-    disabled: true
-
-  - name: presearch images
-    engine: presearch
-    network: presearch
-    search_type: images
-    categories: [images, web]
-    timeout: 4.0
-    shortcut: psimg
-    disabled: true
-
-  - name: presearch videos
-    engine: presearch
-    network: presearch
-    search_type: videos
-    categories: [general, web]
-    timeout: 4.0
-    shortcut: psvid
-    disabled: true
-
-  - name: presearch news
-    engine: presearch
-    network: presearch
-    search_type: news
-    categories: [news, web]
-    timeout: 4.0
-    shortcut: psnews
-    disabled: true
-
-  - name: pub.dev
-    engine: xpath
-    shortcut: pd
-    search_url: https://pub.dev/packages?q={query}&page={pageno}
-    paging: true
-    results_xpath: //div[contains(@class,"packages-item")]
-    url_xpath: ./div/h3/a/@href
-    title_xpath: ./div/h3/a
-    content_xpath: ./div/div/div[contains(@class,"packages-description")]/span
-    categories: [packages, it]
-    timeout: 3.0
-    disabled: true
-    first_page_num: 1
-    about:
-      website: https://pub.dev/
-      official_api_documentation: https://pub.dev/help/api
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: pubmed
-    engine: pubmed
-    shortcut: pub
-    timeout: 3.0
-
-  - name: pypi
-    shortcut: pypi
-    engine: pypi
-
-  - name: qwant
-    qwant_categ: web
-    engine: qwant
-    disabled: true
-    shortcut: qw
-    categories: [general, web]
-    additional_tests:
-      rosebud: *test_rosebud
-
-  - name: qwant news
-    qwant_categ: news
-    engine: qwant
-    shortcut: qwn
-    categories: news
-    network: qwant
-
-  - name: qwant images
-    qwant_categ: images
-    engine: qwant
-    shortcut: qwi
-    categories: [images, web]
-    network: qwant
-
-  - name: qwant videos
-    qwant_categ: videos
-    engine: qwant
-    shortcut: qwv
-    categories: [videos, web]
-    network: qwant
-
-  # - name: library
-  #   engine: recoll
-  #   shortcut: lib
-  #   base_url: 'https://recoll.example.org/'
-  #   search_dir: ''
-  #   mount_prefix: /export
-  #   dl_prefix: 'https://download.example.org'
-  #   timeout: 30.0
-  #   categories: files
-  #   disabled: true
-
-  # - name: recoll library reference
-  #   engine: recoll
-  #   base_url: 'https://recoll.example.org/'
-  #   search_dir: reference
-  #   mount_prefix: /export
-  #   dl_prefix: 'https://download.example.org'
-  #   shortcut: libr
-  #   timeout: 30.0
-  #   categories: files
-  #   disabled: true
-
-  - name: radio browser
-    engine: radio_browser
-    shortcut: rb
-
-  - name: reddit
-    engine: reddit
-    shortcut: re
-    page_size: 25
-    disabled: true
-
-  - name: rottentomatoes
-    engine: rottentomatoes
-    shortcut: rt
-    disabled: true
-
-  # Required dependency: redis
-  # - name: myredis
-  #   shortcut : rds
-  #   engine: redis_server
-  #   exact_match_only: false
-  #   host: '127.0.0.1'
-  #   port: 6379
-  #   enable_http: true
-  #   password: ''
-  #   db: 0
-
-  # tmp suspended: bad certificate
-  #  - name: scanr structures
-  #    shortcut: scs
-  #    engine: scanr_structures
-  #    disabled: true
-
-  - name: searchmysite
-    engine: xpath
-    shortcut: sms
-    categories: general
-    paging: true
-    search_url: https://searchmysite.net/search/?q={query}&page={pageno}
-    results_xpath: //div[contains(@class,'search-result')]
-    url_xpath: .//a[contains(@class,'result-link')]/@href
-    title_xpath: .//span[contains(@class,'result-title-txt')]/text()
-    content_xpath: ./p[@id='result-hightlight']
-    disabled: true
-    about:
-      website: https://searchmysite.net
-
-  - name: sepiasearch
-    engine: sepiasearch
-    shortcut: sep
-
-  - name: soundcloud
-    engine: soundcloud
-    shortcut: sc
-
-  - name: stackoverflow
-    engine: stackexchange
-    shortcut: st
-    api_site: 'stackoverflow'
-    categories: [it, q&a]
-
-  - name: askubuntu
-    engine: stackexchange
-    shortcut: ubuntu
-    api_site: 'askubuntu'
-    categories: [it, q&a]
-
-  - name: internetarchivescholar
-    engine: internet_archive_scholar
-    shortcut: ias
-    timeout: 15.0
-
-  - name: superuser
-    engine: stackexchange
-    shortcut: su
-    api_site: 'superuser'
-    categories: [it, q&a]
-
-  - name: discuss.python
-    engine: discourse
-    shortcut: dpy
-    base_url: 'https://discuss.python.org'
-    categories: [it, q&a]
-    disabled: true
-
-  - name: caddy.community
-    engine: discourse
-    shortcut: caddy
-    base_url: 'https://caddy.community'
-    categories: [it, q&a]
-    disabled: true
-
-  - name: pi-hole.community
-    engine: discourse
-    shortcut: pi
-    categories: [it, q&a]
-    base_url: 'https://discourse.pi-hole.net'
-    disabled: true
-
-  - name: searchcode code
-    engine: searchcode_code
-    shortcut: scc
-    disabled: true
-
-  # - name: searx
-  #   engine: searx_engine
-  #   shortcut: se
-  #   instance_urls :
-  #       - http://127.0.0.1:8888/
-  #       - ...
-  #   disabled: true
-
-  - name: semantic scholar
-    engine: semantic_scholar
-    disabled: true
-    shortcut: se
-
-  # Spotify needs API credentials
-  # - name: spotify
-  #   engine: spotify
-  #   shortcut: stf
-  #   api_client_id: *******
-  #   api_client_secret: *******
-
-  # - name: solr
-  #   engine: solr
-  #   shortcut: slr
-  #   base_url: http://localhost:8983
-  #   collection: collection_name
-  #   sort: '' # sorting: asc or desc
-  #   field_list: '' # comma separated list of field names to display on the UI
-  #   default_fields: '' # default field to query
-  #   query_fields: '' # query fields
-  #   enable_http: true
-
-  # - name: springer nature
-  #   engine: springer
-  #   # get your API key from: https://dev.springernature.com/signup
-  #   # working API key, for test & debug: "a69685087d07eca9f13db62f65b8f601"
-  #   api_key: 'unset'
-  #   shortcut: springer
-  #   timeout: 15.0
-
-  - name: startpage
-    engine: startpage
-    shortcut: sp
-    timeout: 6.0
-    disabled: true
-    additional_tests:
-      rosebud: *test_rosebud
-
-  - name: tokyotoshokan
-    engine: tokyotoshokan
-    shortcut: tt
-    timeout: 6.0
-    disabled: true
-
-  - name: solidtorrents
-    engine: solidtorrents
-    shortcut: solid
-    timeout: 4.0
-    base_url:
-      - https://solidtorrents.to
-      - https://bitsearch.to
-
-  # For this demo of the sqlite engine download:
-  #   https://liste.mediathekview.de/filmliste-v2.db.bz2
-  # and unpack into searx/data/filmliste-v2.db
-  # Query to test: "!demo concert"
-  #
-  # - name: demo
-  #   engine: sqlite
-  #   shortcut: demo
-  #   categories: general
-  #   result_template: default.html
-  #   database: searx/data/filmliste-v2.db
-  #   query_str:  >-
-  #     SELECT title || ' (' || time(duration, 'unixepoch') || ')' AS title,
-  #            COALESCE( NULLIF(url_video_hd,''), NULLIF(url_video_sd,''), url_video) AS url,
-  #            description AS content
-  #       FROM film
-  #      WHERE title LIKE :wildcard OR description LIKE :wildcard
-  #      ORDER BY duration DESC
-
-  - name: tagesschau
-    engine: tagesschau
-    # when set to false, display URLs from Tagesschau, and not the actual source
-    # (e.g. NDR, WDR, SWR, HR, ...)
-    use_source_url: true
-    shortcut: ts
-    disabled: true
-
-  - name: tmdb
-    engine: xpath
-    paging: true
-    categories: movies
-    search_url: https://www.themoviedb.org/search?page={pageno}&query={query}
-    results_xpath: //div[contains(@class,"movie") or contains(@class,"tv")]//div[contains(@class,"card")]
-    url_xpath: .//div[contains(@class,"poster")]/a/@href
-    thumbnail_xpath: .//img/@src
-    title_xpath: .//div[contains(@class,"title")]//h2
-    content_xpath: .//div[contains(@class,"overview")]
-    shortcut: tm
-    disabled: true
-
-  # Requires Tor
-  - name: torch
-    engine: xpath
-    paging: true
-    search_url:
-      http://xmh57jrknzkhv6y3ls3ubitzfqnkrwxhopf5aygthi7d6rplyvk3noyd.onion/cgi-bin/omega/omega?P={query}&DEFAULTOP=and
-    results_xpath: //table//tr
-    url_xpath: ./td[2]/a
-    title_xpath: ./td[2]/b
-    content_xpath: ./td[2]/small
-    categories: onions
-    enable_http: true
-    shortcut: tch
-
-  # torznab engine lets you query any torznab compatible indexer.  Using this
-  # engine in combination with Jackett opens the possibility to query a lot of
-  # public and private indexers directly from SearXNG. More details at:
-  # https://docs.searxng.org/dev/engines/online/torznab.html
-  #
-  # - name: Torznab EZTV
-  #   engine: torznab
-  #   shortcut: eztv
-  #   base_url: http://localhost:9117/api/v2.0/indexers/eztv/results/torznab
-  #   enable_http: true  # if using localhost
-  #   api_key: xxxxxxxxxxxxxxx
-  #   show_magnet_links: true
-  #   show_torrent_files: false
-  #   # https://github.com/Jackett/Jackett/wiki/Jackett-Categories
-  #   torznab_categories:  # optional
-  #     - 2000
-  #     - 5000
-
-  # tmp suspended - too slow, too many errors
-  #  - name: urbandictionary
-  #    engine      : xpath
-  #    search_url  : https://www.urbandictionary.com/define.php?term={query}
-  #    url_xpath   : //*[@class="word"]/@href
-  #    title_xpath : //*[@class="def-header"]
-  #    content_xpath: //*[@class="meaning"]
-  #    shortcut: ud
-
-  - name: unsplash
-    engine: unsplash
-    shortcut: us
-
-  - name: yandex music
-    engine: yandex_music
-    shortcut: ydm
-    disabled: true
-    # https://yandex.com/support/music/access.html
-    inactive: true
-
-  - name: yahoo
-    engine: yahoo
-    shortcut: yh
-    disabled: true
-
-  - name: yahoo news
-    engine: yahoo_news
-    shortcut: yhn
-
-  - name: youtube
-    shortcut: yt
-    # You can use the engine using the official stable API, but you need an API
-    # key See: https://console.developers.google.com/project
-    #
-    # engine: youtube_api
-    # api_key: 'apikey' # required!
-    #
-    # Or you can use the html non-stable engine, activated by default
-    engine: youtube_noapi
-
-  - name: dailymotion
-    engine: dailymotion
-    shortcut: dm
-
-  - name: vimeo
-    engine: vimeo
-    shortcut: vm
-    disabled: true
-
-  - name: wiby
-    engine: json_engine
-    paging: true
-    search_url: https://wiby.me/json/?q={query}&p={pageno}
-    url_query: URL
-    title_query: Title
-    content_query: Snippet
-    categories: [general, web]
-    shortcut: wib
-    disabled: true
-    about:
-      website: https://wiby.me/
-
-  - name: alexandria
-    engine: json_engine
-    shortcut: alx
-    categories: general
-    paging: true
-    search_url: https://api.alexandria.org/?a=1&q={query}&p={pageno}
-    results_query: results
-    title_query: title
-    url_query: url
-    content_query: snippet
-    timeout: 1.5
-    disabled: true
-    about:
-      website: https://alexandria.org/
-      official_api_documentation: https://github.com/alexandria-org/alexandria-api/raw/master/README.md
-      use_official_api: true
-      require_api_key: false
-      results: JSON
-
-  - name: wikibooks
-    engine: mediawiki
-    weight: 0.5
-    shortcut: wb
-    categories: [general, wikimedia]
-    base_url: "https://{language}.wikibooks.org/"
-    search_type: text
-    disabled: true
-    about:
-      website: https://www.wikibooks.org/
-      wikidata_id: Q367
-
-  - name: wikinews
-    engine: mediawiki
-    shortcut: wn
-    categories: [news, wikimedia]
-    base_url: "https://{language}.wikinews.org/"
-    search_type: text
-    srsort: create_timestamp_desc
-    about:
-      website: https://www.wikinews.org/
-      wikidata_id: Q964
-
-  - name: wikiquote
-    engine: mediawiki
-    weight: 0.5
-    shortcut: wq
-    categories: [general, wikimedia]
-    base_url: "https://{language}.wikiquote.org/"
-    search_type: text
-    disabled: true
-    additional_tests:
-      rosebud: *test_rosebud
-    about:
-      website: https://www.wikiquote.org/
-      wikidata_id: Q369
-
-  - name: wikisource
-    engine: mediawiki
-    weight: 0.5
-    shortcut: ws
-    categories: [general, wikimedia]
-    base_url: "https://{language}.wikisource.org/"
-    search_type: text
-    disabled: true
-    about:
-      website: https://www.wikisource.org/
-      wikidata_id: Q263
-
-  - name: wikispecies
-    engine: mediawiki
-    shortcut: wsp
-    categories: [general, science, wikimedia]
-    base_url: "https://species.wikimedia.org/"
-    search_type: text
-    disabled: true
-    about:
-      website: https://species.wikimedia.org/
-      wikidata_id: Q13679
-    tests:
-      wikispecies:
-        matrix:
-          query: "Campbell, L.I. et al. 2011: MicroRNAs"
-          lang: en
-        result_container:
-          - not_empty
-          - ['one_title_contains', 'Tardigrada']
-        test:
-          - unique_results
-
-  - name: wiktionary
-    engine: mediawiki
-    shortcut: wt
-    categories: [dictionaries, wikimedia]
-    base_url: "https://{language}.wiktionary.org/"
-    search_type: text
-    about:
-      website: https://www.wiktionary.org/
-      wikidata_id: Q151
-
-  - name: wikiversity
-    engine: mediawiki
-    weight: 0.5
-    shortcut: wv
-    categories: [general, wikimedia]
-    base_url: "https://{language}.wikiversity.org/"
-    search_type: text
-    disabled: true
-    about:
-      website: https://www.wikiversity.org/
-      wikidata_id: Q370
-
-  - name: wikivoyage
-    engine: mediawiki
-    weight: 0.5
-    shortcut: wy
-    categories: [general, wikimedia]
-    base_url: "https://{language}.wikivoyage.org/"
-    search_type: text
-    disabled: true
-    about:
-      website: https://www.wikivoyage.org/
-      wikidata_id: Q373
-
-  - name: wikicommons.images
-    engine: wikicommons
-    shortcut: wc
-    categories: images
-    search_type: images
-    number_of_results: 10
-
-  - name: wikicommons.videos
-    engine: wikicommons
-    shortcut: wcv
-    categories: videos
-    search_type: videos
-    number_of_results: 10
-
-  - name: wikicommons.audio
-    engine: wikicommons
-    shortcut: wca
-    categories: music
-    search_type: audio
-    number_of_results: 10
-
-  - name: wikicommons.files
-    engine: wikicommons
-    shortcut: wcf
-    categories: files
-    search_type: files
-    number_of_results: 10
-
-  - name: wolframalpha
-    shortcut: wa
-    # You can use the engine using the official stable API, but you need an API
-    # key.  See: https://products.wolframalpha.com/api/
-    #
-    # engine: wolframalpha_api
-    # api_key: ''
-    #
-    # Or you can use the html non-stable engine, activated by default
-    engine: wolframalpha_noapi
-    timeout: 6.0
-    categories: general
-    disabled: true
-
-  - name: dictzone
-    engine: dictzone
-    shortcut: dc
-
-  - name: mymemory translated
-    engine: translated
-    shortcut: tl
-    timeout: 5.0
-    # You can use without an API key, but you are limited to 1000 words/day
-    # See: https://mymemory.translated.net/doc/usagelimits.php
-    # api_key: ''
-
-  # Required dependency: mysql-connector-python
-  #  - name: mysql
-  #    engine: mysql_server
-  #    database: mydatabase
-  #    username: user
-  #    password: pass
-  #    limit: 10
-  #    query_str: 'SELECT * from mytable WHERE fieldname=%(query)s'
-  #    shortcut: mysql
-
-  - name: 1337x
-    engine: 1337x
-    shortcut: 1337x
-    disabled: true
-
-  - name: duden
-    engine: duden
-    shortcut: du
-    disabled: true
-
-  - name: seznam
-    shortcut: szn
-    engine: seznam
-    disabled: true
-
-  # - name: deepl
-  #   engine: deepl
-  #   shortcut: dpl
-  #   # You can use the engine using the official stable API, but you need an API key
-  #   # See: https://www.deepl.com/pro-api?cta=header-pro-api
-  #   api_key: ''  # required!
-  #   timeout: 5.0
-  #   disabled: true
-
-  - name: mojeek
-    shortcut: mjk
-    engine: mojeek
-    categories: [general, web]
-    disabled: true
-
-  - name: mojeek images
-    shortcut: mjkimg
-    engine: mojeek
-    categories: [images, web]
-    search_type: images
-    paging: false
-    disabled: true
-
-  - name: mojeek news
-    shortcut: mjknews
-    engine: mojeek
-    categories: [news, web]
-    search_type: news
-    paging: false
-    disabled: true
-
-  - name: moviepilot
-    engine: moviepilot
-    shortcut: mp
-    disabled: true
-
-  - name: naver
-    shortcut: nvr
-    categories: [general, web]
-    engine: xpath
-    paging: true
-    search_url: https://search.naver.com/search.naver?where=webkr&sm=osp_hty&ie=UTF-8&query={query}&start={pageno}
-    url_xpath: //a[@class="link_tit"]/@href
-    title_xpath: //a[@class="link_tit"]
-    content_xpath: //div[@class="total_dsc_wrap"]/a
-    first_page_num: 1
-    page_size: 10
-    disabled: true
-    about:
-      website: https://www.naver.com/
-      wikidata_id: Q485639
-      official_api_documentation: https://developers.naver.com/docs/nmt/examples/
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-      language: ko
-
-  - name: rubygems
-    shortcut: rbg
-    engine: xpath
-    paging: true
-    search_url: https://rubygems.org/search?page={pageno}&query={query}
-    results_xpath: /html/body/main/div/a[@class="gems__gem"]
-    url_xpath: ./@href
-    title_xpath: ./span/h2
-    content_xpath: ./span/p
-    suggestion_xpath: /html/body/main/div/div[@class="search__suggestions"]/p/a
-    first_page_num: 1
-    categories: [it, packages]
-    disabled: true
-    about:
-      website: https://rubygems.org/
-      wikidata_id: Q1853420
-      official_api_documentation: https://guides.rubygems.org/rubygems-org-api/
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: peertube
-    engine: peertube
-    shortcut: ptb
-    paging: true
-    # alternatives see: https://instances.joinpeertube.org/instances
-    # base_url: https://tube.4aem.com
-    categories: videos
-    disabled: true
-    timeout: 6.0
-
-  - name: mediathekviewweb
-    engine: mediathekviewweb
-    shortcut: mvw
-    disabled: true
-
-  - name: yacy
-    # https://docs.searxng.org/dev/engines/online/yacy.html
-    engine: yacy
-    categories: general
-    search_type: text
-    base_url:
-      - https://yacy.searchlab.eu
-      # see https://github.com/searxng/searxng/pull/3631#issuecomment-2240903027
-      # - https://search.kyun.li
-      # - https://yacy.securecomcorp.eu
-      # - https://yacy.myserv.ca
-      # - https://yacy.nsupdate.info
-      # - https://yacy.electroncash.de
-    shortcut: ya
-    disabled: true
-    # if you aren't using HTTPS for your local yacy instance disable https
-    # enable_http: false
-    search_mode: 'global'
-    # timeout can be reduced in 'local' search mode
-    timeout: 5.0
-
-  - name: yacy images
-    engine: yacy
-    network: yacy
-    categories: images
-    search_type: image
-    shortcut: yai
-    disabled: true
-    # timeout can be reduced in 'local' search mode
-    timeout: 5.0
-
-  - name: rumble
-    engine: rumble
-    shortcut: ru
-    base_url: https://rumble.com/
-    paging: true
-    categories: videos
-    disabled: true
-
-  - name: livespace
-    engine: livespace
-    shortcut: ls
-    categories: videos
-    disabled: true
-    timeout: 5.0
-
-  - name: wordnik
-    engine: wordnik
-    shortcut: def
-    base_url: https://www.wordnik.com/
-    categories: [dictionaries]
-    timeout: 5.0
-
-  - name: woxikon.de synonyme
-    engine: xpath
-    shortcut: woxi
-    categories: [dictionaries]
-    timeout: 5.0
-    disabled: true
-    search_url: https://synonyme.woxikon.de/synonyme/{query}.php
-    url_xpath: //div[@class="upper-synonyms"]/a/@href
-    content_xpath: //div[@class="synonyms-list-group"]
-    title_xpath: //div[@class="upper-synonyms"]/a
-    no_result_for_http_status: [404]
-    about:
-      website: https://www.woxikon.de/
-      wikidata_id:  # No Wikidata ID
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-      language: de
-
-  - name: seekr news
-    engine: seekr
-    shortcut: senews
-    categories: news
-    seekr_category: news
-    disabled: true
-
-  - name: seekr images
-    engine: seekr
-    network: seekr news
-    shortcut: seimg
-    categories: images
-    seekr_category: images
-    disabled: true
-
-  - name: seekr videos
-    engine: seekr
-    network: seekr news
-    shortcut: sevid
-    categories: videos
-    seekr_category: videos
-    disabled: true
-
-  - name: sjp.pwn
-    engine: sjp
-    shortcut: sjp
-    base_url: https://sjp.pwn.pl/
-    timeout: 5.0
-    disabled: true
-
-  - name: stract
-    engine: stract
-    shortcut: str
-    disabled: true
-
-  - name: svgrepo
-    engine: svgrepo
-    shortcut: svg
-    timeout: 10.0
-    disabled: true
-
-  - name: tootfinder
-    engine: tootfinder
-    shortcut: toot
-
-  - name: voidlinux
-    engine: voidlinux
-    shortcut: void
-    disabled: true
-
-  - name: wallhaven
-    engine: wallhaven
-    # api_key: abcdefghijklmnopqrstuvwxyz
-    shortcut: wh
-
-    # wikimini: online encyclopedia for children
-    # The fulltext and title parameter is necessary for Wikimini because
-    # sometimes it will not show the results and redirect instead
-  - name: wikimini
-    engine: xpath
-    shortcut: wkmn
-    search_url: https://fr.wikimini.org/w/index.php?search={query}&title=Sp%C3%A9cial%3ASearch&fulltext=Search
-    url_xpath: //li/div[@class="mw-search-result-heading"]/a/@href
-    title_xpath: //li//div[@class="mw-search-result-heading"]/a
-    content_xpath: //li/div[@class="searchresult"]
-    categories: general
-    disabled: true
-    about:
-      website: https://wikimini.org/
-      wikidata_id: Q3568032
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-      language: fr
-
-  - name: wttr.in
-    engine: wttr
-    shortcut: wttr
-    timeout: 9.0
-
-  - name: yummly
-    engine: yummly
-    shortcut: yum
-    disabled: true
-
-  - name: brave
-    engine: brave
-    shortcut: br
-    time_range_support: true
-    paging: true
-    categories: [general, web]
-    brave_category: search
-    # brave_spellcheck: true
-
-  - name: brave.images
-    engine: brave
-    network: brave
-    shortcut: brimg
-    categories: [images, web]
-    brave_category: images
-
-  - name: brave.videos
-    engine: brave
-    network: brave
-    shortcut: brvid
-    categories: [videos, web]
-    brave_category: videos
-
-  - name: brave.news
-    engine: brave
-    network: brave
-    shortcut: brnews
-    categories: news
-    brave_category: news
-
-  # - name: brave.goggles
-  #   engine: brave
-  #   network: brave
-  #   shortcut: brgog
-  #   time_range_support: true
-  #   paging: true
-  #   categories: [general, web]
-  #   brave_category: goggles
-  #   Goggles: # required! This should be a URL ending in .goggle
-
-  - name: lib.rs
-    shortcut: lrs
-    engine: lib_rs
-    disabled: true
-
-  - name: sourcehut
-    shortcut: srht
-    engine: xpath
-    paging: true
-    search_url: https://sr.ht/projects?page={pageno}&search={query}
-    results_xpath: (//div[@class="event-list"])[1]/div[@class="event"]
-    url_xpath: ./h4/a[2]/@href
-    title_xpath: ./h4/a[2]
-    content_xpath: ./p
-    first_page_num: 1
-    categories: [it, repos]
-    disabled: true
-    about:
-      website: https://sr.ht
-      wikidata_id: Q78514485
-      official_api_documentation: https://man.sr.ht/
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-
-  - name: goo
-    shortcut: goo
-    engine: xpath
-    paging: true
-    search_url: https://search.goo.ne.jp/web.jsp?MT={query}&FR={pageno}0
-    url_xpath: //div[@class="result"]/p[@class='title fsL1']/a/@href
-    title_xpath: //div[@class="result"]/p[@class='title fsL1']/a
-    content_xpath: //p[contains(@class,'url fsM')]/following-sibling::p
-    first_page_num: 0
-    categories: [general, web]
-    disabled: true
-    timeout: 4.0
-    about:
-      website: https://search.goo.ne.jp
-      wikidata_id: Q249044
-      use_official_api: false
-      require_api_key: false
-      results: HTML
-      language: ja
-
-  - name: bt4g
-    engine: bt4g
-    shortcut: bt4g
-
-  - name: pkg.go.dev
-    engine: pkg_go_dev
-    shortcut: pgo
-    disabled: true
-
-# Doku engine lets you access to any Doku wiki instance:
-# A public one or a privete/corporate one.
-#  - name: ubuntuwiki
-#    engine: doku
-#    shortcut: uw
-#    base_url: 'https://doc.ubuntu-fr.org'
-
-# Be careful when enabling this engine if you are
-# running a public instance. Do not expose any sensitive
-# information. You can restrict access by configuring a list
-# of access tokens under tokens.
-#  - name: git grep
-#    engine: command
-#    command: ['git', 'grep', '{{QUERY}}']
-#    shortcut: gg
-#    tokens: []
-#    disabled: true
-#    delimiter:
-#        chars: ':'
-#        keys: ['filepath', 'code']
-
-# Be careful when enabling this engine if you are
-# running a public instance. Do not expose any sensitive
-# information. You can restrict access by configuring a list
-# of access tokens under tokens.
-#  - name: locate
-#    engine: command
-#    command: ['locate', '{{QUERY}}']
-#    shortcut: loc
-#    tokens: []
-#    disabled: true
-#    delimiter:
-#        chars: ' '
-#        keys: ['line']
-
-# Be careful when enabling this engine if you are
-# running a public instance. Do not expose any sensitive
-# information. You can restrict access by configuring a list
-# of access tokens under tokens.
-#  - name: find
-#    engine: command
-#    command: ['find', '.', '-name', '{{QUERY}}']
-#    query_type: path
-#    shortcut: fnd
-#    tokens: []
-#    disabled: true
-#    delimiter:
-#        chars: ' '
-#        keys: ['line']
-
-# Be careful when enabling this engine if you are
-# running a public instance. Do not expose any sensitive
-# information. You can restrict access by configuring a list
-# of access tokens under tokens.
-#  - name: pattern search in files
-#    engine: command
-#    command: ['fgrep', '{{QUERY}}']
-#    shortcut: fgr
-#    tokens: []
-#    disabled: true
-#    delimiter:
-#        chars: ' '
-#        keys: ['line']
-
-# Be careful when enabling this engine if you are
-# running a public instance. Do not expose any sensitive
-# information. You can restrict access by configuring a list
-# of access tokens under tokens.
-#  - name: regex search in files
-#    engine: command
-#    command: ['grep', '{{QUERY}}']
-#    shortcut: gr
-#    tokens: []
-#    disabled: true
-#    delimiter:
-#        chars: ' '
-#        keys: ['line']
-
-doi_resolvers:
-  oadoi.org: 'https://oadoi.org/'
-  doi.org: 'https://doi.org/'
-  doai.io: 'https://dissem.in/'
-  sci-hub.se: 'https://sci-hub.se/'
-  sci-hub.st: 'https://sci-hub.st/'
-  sci-hub.ru: 'https://sci-hub.ru/'
-
-default_doi_resolver: 'oadoi.org'
diff --git a/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini b/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini
deleted file mode 100644
index 9db3d76264..0000000000
--- a/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini
+++ /dev/null
@@ -1,54 +0,0 @@
-[uwsgi]
-# Who will run the code
-uid = searxng
-gid = searxng
-
-# Number of workers (usually CPU count)
-# default value: %k (= number of CPU core, see Dockerfile)
-workers = %k
-
-# Number of threads per worker
-# default value: 4 (see Dockerfile)
-threads = 4
-
-# The right granted on the created socket
-chmod-socket = 666
-
-# Plugin to use and interpreter config
-single-interpreter = true
-master = true
-plugin = python3
-lazy-apps = true
-enable-threads = 4
-
-# Module to import
-module = searx.webapp
-
-# Virtualenv and python path
-pythonpath = /usr/local/searxng/
-chdir = /usr/local/searxng/searx/
-
-# automatically set processes name to something meaningful
-auto-procname = true
-
-# Disable request logging for privacy
-disable-logging = true
-log-5xx = true
-
-# Set the max size of a request (request-body excluded)
-buffer-size = 8192
-
-# No keep alive
-# See https://github.com/searx/searx-docker/issues/24
-add-header = Connection: close
-
-# Follow SIGTERM convention
-# See https://github.com/searxng/searxng/issues/3427
-die-on-term
-
-# uwsgi serves the static files
-static-map = /static=/usr/local/searxng/searx/static
-# expires set to one day
-static-expires = /* 86400
-static-gzip-all = True
-offload-threads = 4
diff --git a/api/core/tools/provider/builtin/searxng/searxng.py b/api/core/tools/provider/builtin/searxng/searxng.py
deleted file mode 100644
index b7bbcc60b1..0000000000
--- a/api/core/tools/provider/builtin/searxng/searxng.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.searxng.tools.searxng_search import SearXNGSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SearXNGProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            SearXNGSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"query": "SearXNG", "limit": 1, "search_type": "general"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/searxng/searxng.yaml b/api/core/tools/provider/builtin/searxng/searxng.yaml
deleted file mode 100644
index 9554c93d5a..0000000000
--- a/api/core/tools/provider/builtin/searxng/searxng.yaml
+++ /dev/null
@@ -1,24 +0,0 @@
-identity:
-  author: Junytang
-  name: searxng
-  label:
-    en_US: SearXNG
-    zh_Hans: SearXNG
-  description:
-    en_US: A free internet metasearch engine.
-    zh_Hans: 开源免费的互联网元搜索引擎
-  icon: icon.svg
-  tags:
-    - search
-    - productivity
-credentials_for_provider:
-  searxng_base_url:
-    type: text-input
-    required: true
-    label:
-      en_US: SearXNG base URL
-      zh_Hans: SearXNG base URL
-    placeholder:
-      en_US: Please input your SearXNG base URL
-      zh_Hans: 请输入您的 SearXNG base URL
-    url: https://docs.dify.ai/tutorials/tool-configuration/searxng
diff --git a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py b/api/core/tools/provider/builtin/searxng/tools/searxng_search.py
deleted file mode 100644
index c5e339a108..0000000000
--- a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SearXNGSearchTool(BuiltinTool):
-    """
-    Tool for performing a search using SearXNG engine.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invoke the SearXNG search tool.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Any]): The parameters for the tool invocation.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation.
-        """
-
-        host = self.runtime.credentials.get("searxng_base_url")
-        if not host:
-            raise Exception("SearXNG api is required")
-
-        response = requests.get(
-            host,
-            params={
-                "q": tool_parameters.get("query"),
-                "format": "json",
-                "categories": tool_parameters.get("search_type", "general"),
-            },
-        )
-
-        if response.status_code != 200:
-            raise Exception(f"Error {response.status_code}: {response.text}")
-
-        res = response.json().get("results", [])
-        if not res:
-            return self.create_text_message(f"No results found, get response: {response.content}")
-
-        return [self.create_json_message(item) for item in res]
diff --git a/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml b/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml
deleted file mode 100644
index a5e448a303..0000000000
--- a/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml
+++ /dev/null
@@ -1,69 +0,0 @@
-identity:
-  name: searxng_search
-  author: Junytang
-  label:
-    en_US: SearXNG Search
-    zh_Hans: SearXNG 搜索
-description:
-  human:
-    en_US: SearXNG is a free internet metasearch engine which aggregates results from more than 70 search services.
-    zh_Hans: SearXNG 是一个免费的互联网元搜索引擎，它从70多个不同的搜索服务中聚合搜索结果。
-  llm: Perform searches on SearXNG and get results.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-    llm_description: Key words for searching
-    form: llm
-  - name: search_type
-    type: select
-    required: true
-    label:
-      en_US: search type
-      zh_Hans: 搜索类型
-    default: general
-    options:
-      - value: general
-        label:
-          en_US: General
-          zh_Hans: 综合
-      - value: images
-        label:
-          en_US: Images
-          zh_Hans: 图片
-      - value: videos
-        label:
-          en_US: Videos
-          zh_Hans: 视频
-      - value: news
-        label:
-          en_US: News
-          zh_Hans: 新闻
-      - value: map
-        label:
-          en_US: Map
-          zh_Hans: 地图
-      - value: music
-        label:
-          en_US: Music
-          zh_Hans: 音乐
-      - value: it
-        label:
-          en_US: It
-          zh_Hans: 信息技术
-      - value: science
-        label:
-          en_US: Science
-          zh_Hans: 科学
-      - value: files
-        label:
-          en_US: Files
-          zh_Hans: 文件
-      - value: social_media
-        label:
-          en_US: Social Media
-          zh_Hans: 社交媒体
-    form: form
diff --git a/api/core/tools/provider/builtin/serper/_assets/icon.svg b/api/core/tools/provider/builtin/serper/_assets/icon.svg
deleted file mode 100644
index 3f973a552e..0000000000
--- a/api/core/tools/provider/builtin/serper/_assets/icon.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg width="128px" height="128px" viewBox="0 0 128 128" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
-    <title>serper</title>
-    <g id="ai-doc-check-2.0" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
-        <g id="画板" fill="#90CDF4" fill-rule="nonzero">
-            <g id="serper">
-                <path d="M65.2785371,32.0482743 C68.7012571,32.0482743 71.9303314,32.6286629 74.9661257,33.7892571 C78.0315429,34.9500343 80.7100343,36.5571657 83.0017829,38.6106514 C85.2935314,40.66432 87.0345143,43.0453029 88.2249143,45.7536 C88.4928,46.3488 88.6268343,46.9589943 88.6268343,47.584 C88.6268343,48.8042057 88.1802971,49.8607543 87.2875886,50.7536457 C86.42432,51.6167314 85.3827657,52.0482743 84.16256,52.0482743 C83.3589029,52.0482743 82.5554286,51.7952 81.7517714,51.2892343 C80.9482971,50.7536457 80.38272,50.1136457 80.0554057,49.3696 C78.9244343,46.8101486 77.0346057,44.7714743 74.3857371,43.2535771 C71.7666743,41.73568 68.73088,40.9768229 65.2785371,40.9768229 C63.5821714,40.9768229 61.7815771,41.1850971 59.8767543,41.6018286 C58.0017371,42.0183771 56.2309486,42.6583771 54.5642057,43.5214629 C52.8976457,44.3547429 51.5434057,45.4112914 50.5018514,46.6911086 C49.4601143,47.9707429 48.9393371,49.4590171 48.9393371,51.1553829 C48.9393371,52.5244343 49.3856914,53.7148343 50.2785829,54.7267657 C51.1714743,55.7088914 52.1684114,56.4827429 53.2695771,57.0481371 C55.8590171,58.3279543 58.71616,59.2208457 61.8410057,59.7268114 C64.99584,60.2327771 68.1802971,60.7237486 71.39456,61.2000914 C74.6090057,61.6762514 77.6,62.5095314 80.3679086,63.6999314 C82.1238857,64.4439771 83.80544,65.4709029 85.4125714,66.7803429 C87.0197029,68.0899657 88.3291429,69.6821029 89.3410743,71.55712 C90.3530057,73.4321371 90.8589714,75.6344686 90.8589714,78.1642971 C90.8589714,81.4381714 90.0703086,84.3101257 88.4928,86.7803429 C86.9154743,89.25056 84.8469943,91.3042286 82.2875429,92.9409829 C79.7279086,94.57792 76.9451886,95.81312 73.9392,96.6464 C70.9630171,97.4500571 68.0464457,97.8517943 65.1893029,97.8517943 C61.3202286,97.8517943 57.6892343,97.2416 54.2965029,96.0213943 C50.9035886,94.7713829 47.9422171,93.0154057 45.4125714,90.7536457 C42.8827429,88.4618971 40.9482971,85.7834057 39.6088686,82.7178057 C39.3409829,82.1226057 39.2071314,81.5274057 39.2071314,80.9322057 C39.2071314,79.7118171 39.6386743,78.6702629 40.50176,77.8071771 C41.3946514,76.9142857 42.4512,76.4679314 43.6714057,76.4679314 C44.5046857,76.4679314 45.3231543,76.7356343 46.1268114,77.2714057 C46.9302857,77.7773714 47.4808686,78.4171886 47.77856,79.19104 C49.0881829,82.1970286 51.3053257,84.5780114 54.4303543,86.3339886 C57.5553829,88.06016 61.1415771,88.9232457 65.1893029,88.9232457 C67.7191314,88.9232457 70.2637714,88.5511314 72.8232229,87.8070857 C75.3826743,87.0334171 77.5255771,85.8578286 79.2517486,84.28032 C81.0077257,82.6731886 81.8856229,80.6345143 81.8856229,78.1642971 C81.8856229,76.5869714 81.3500343,75.2923429 80.2784914,74.2804114 C79.2369371,73.2386743 78.0911543,72.4500114 76.8411429,71.91424 C74.0136229,70.6940343 70.9928229,69.8607543 67.77856,69.4142171 C64.5642971,68.9380571 61.3648457,68.4470857 58.1803886,67.94112 C54.9957486,67.4053486 52.0195657,66.4380343 49.25184,65.03936 C46.9006629,63.8487771 44.75776,62.1226057 42.8231314,59.8606629 C40.9184914,57.5690971 39.9659886,54.6673371 39.9659886,51.1553829 C39.9659886,48.06016 40.7100343,45.3368686 42.1981257,42.9856914 C43.7160229,40.6047086 45.71008,38.6106514 48.1802971,37.00352 C50.68032,35.3665829 53.4184229,34.1315657 56.3946057,33.2982857 C59.3707886,32.4648229 62.33216,32.0482743 65.2785371,32.0482743 Z" id="路径"></path>
-                <path d="M64,0 C99.3462239,0 128,28.6537761 128,64 C128,99.3462239 99.3462239,128 64,128 C28.6537761,128 0,99.3462239 0,64 C0,28.6537761 28.6537761,0 64,0 Z M64,10.9714286 C34.7131288,10.9714286 10.9714286,34.7131288 10.9714286,64 C10.9714286,93.2868712 34.7131288,117.028571 64,117.028571 C93.2868712,117.028571 117.028571,93.2868712 117.028571,64 C117.028571,34.7131288 93.2868712,10.9714286 64,10.9714286 Z" id="椭圆形"></path>
-            </g>
-        </g>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/serper/serper.py b/api/core/tools/provider/builtin/serper/serper.py
deleted file mode 100644
index cb1d090a9d..0000000000
--- a/api/core/tools/provider/builtin/serper/serper.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.serper.tools.serper_search import SerperSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SerperProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            SerperSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"query": "test", "result_type": "link"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/serper/serper.yaml b/api/core/tools/provider/builtin/serper/serper.yaml
deleted file mode 100644
index b3b2d76c4b..0000000000
--- a/api/core/tools/provider/builtin/serper/serper.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: zhuhao
-  name: serper
-  label:
-    en_US: Serper
-    zh_Hans: Serper
-    pt_BR: Serper
-  description:
-    en_US: Serper is a powerful real-time search engine tool API that provides structured data from Google Search.
-    zh_Hans: Serper 是一个强大的实时搜索引擎工具API，可提供来自 Google 搜索引擎搜索的结构化数据。
-    pt_BR: Serper is a powerful real-time search engine tool API that provides structured data from Google Search.
-  icon: icon.svg
-  tags:
-    - search
-credentials_for_provider:
-  serperapi_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Serper API key
-      zh_Hans: Serper API key
-      pt_BR: Serper API key
-    placeholder:
-      en_US: Please input your Serper API key
-      zh_Hans: 请输入你的 Serper API key
-      pt_BR: Please input your Serper API key
-    help:
-      en_US: Get your Serper API key from Serper
-      zh_Hans: 从 Serper 获取您的 Serper API key
-      pt_BR: Get your Serper API key from Serper
-    url: https://serper.dev/api-key
diff --git a/api/core/tools/provider/builtin/serper/tools/serper_search.py b/api/core/tools/provider/builtin/serper/tools/serper_search.py
deleted file mode 100644
index 7baebbf958..0000000000
--- a/api/core/tools/provider/builtin/serper/tools/serper_search.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SERPER_API_URL = "https://google.serper.dev/search"
-
-
-class SerperSearchTool(BuiltinTool):
-    def _parse_response(self, response: dict) -> dict:
-        result = {}
-        if "knowledgeGraph" in response:
-            result["title"] = response["knowledgeGraph"].get("title", "")
-            result["description"] = response["knowledgeGraph"].get("description", "")
-        if "organic" in response:
-            result["organic"] = [
-                {"title": item.get("title", ""), "link": item.get("link", ""), "snippet": item.get("snippet", "")}
-                for item in response["organic"]
-            ]
-        return result
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        params = {"q": tool_parameters["query"], "gl": "us", "hl": "en"}
-        headers = {"X-API-KEY": self.runtime.credentials["serperapi_api_key"], "Content-Type": "application/json"}
-        response = requests.get(url=SERPER_API_URL, params=params, headers=headers)
-        response.raise_for_status()
-        valuable_res = self._parse_response(response.json())
-        return self.create_json_message(valuable_res)
diff --git a/api/core/tools/provider/builtin/serper/tools/serper_search.yaml b/api/core/tools/provider/builtin/serper/tools/serper_search.yaml
deleted file mode 100644
index e1c0a056e6..0000000000
--- a/api/core/tools/provider/builtin/serper/tools/serper_search.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: serper
-  author: zhuhao
-  label:
-    en_US: Serper
-    zh_Hans: Serper
-    pt_BR: Serper
-description:
-  human:
-    en_US: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query.
-    zh_Hans: 一个用于执行 Google 搜索并提取片段和网页的工具。输入应该是一个搜索查询。
-    pt_BR: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query.
-  llm: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: used for searching
-      zh_Hans: 用于搜索网页内容
-      pt_BR: used for searching
-    llm_description: key words for searching
-    form: llm
diff --git a/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg b/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg
deleted file mode 100644
index ad6b384f7a..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="none" version="1.1" width="128" height="128" viewBox="0 0 128 128"><g><g style="opacity:0;"><rect x="0" y="0" width="128" height="128" rx="0" fill="#FFFFFF" fill-opacity="1"/></g><g><path d="M100.74,12L93.2335,12C69.21260000000001,12,55.3672,27.3468,55.3672,50.8672L55.3672,54.8988C52.6011,54.1056,49.7377,53.7031,46.8601,53.7031C29.816499999999998,53.7031,16,67.5196,16,84.5632C16,101.6069,29.816499999999998,115.423,46.8601,115.423C63.9037,115.423,77.72030000000001,101.6069,77.72030000000001,84.5632C77.72030000000001,82.4902,77.51140000000001,80.4223,77.0967,78.3911L77.2197,78.3911L100.74,78.3911C106.9654,78.3681,112,73.3151,112,67.08959999999999C112,60.8642,106.9654,55.8111,100.74,55.7882L100.7362,55.7882L100.6985,55.7879L100.6606,55.7882L77.2197,55.7882L77.2195,49.8663C77.2195,40.8584,83.7252,34.352900000000005,93.2335,34.352900000000005L100.5653,34.352900000000005L100.5733,34.352900000000005L100.5812,34.352900000000005L100.74,34.352900000000005L100.74,34.352900000000005C106.8469,34.2605,111.7497,29.284,111.7497,23.1764C111.7497,17.06889,106.8469,12.0923454,100.74,12L100.74,12ZM56.0347,84.5632C56.0347,79.4962,51.9271,75.3885,46.8601,75.3885C41.793099999999995,75.3885,37.6854,79.4962,37.6854,84.5632C37.6854,89.6303,41.793099999999995,93.7378,46.8601,93.7378C51.9271,93.7378,56.0347,89.6303,56.0347,84.5632Z" fill-rule="evenodd" fill="#8358F6" fill-opacity="1"/></g></g></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.py b/api/core/tools/provider/builtin/siliconflow/siliconflow.py
deleted file mode 100644
index 37a0b0755b..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/siliconflow.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SiliconflowProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        url = "https://api.siliconflow.cn/v1/models"
-        headers = {
-            "accept": "application/json",
-            "authorization": f"Bearer {credentials.get('siliconFlow_api_key')}",
-        }
-
-        response = requests.get(url, headers=headers)
-        if response.status_code != 200:
-            raise ToolProviderCredentialValidationError("SiliconFlow API key is invalid")
diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml b/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml
deleted file mode 100644
index 46be99f262..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-identity:
-  author: hjlarry
-  name: siliconflow
-  label:
-    en_US: SiliconFlow
-    zh_CN: 硅基流动
-  description:
-    en_US: The image generation API provided by SiliconFlow includes Flux and Stable Diffusion models.
-    zh_CN: 硅基流动提供的图片生成 API，包含 Flux 和 Stable Diffusion 模型。
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  siliconFlow_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: SiliconFlow API Key
-    placeholder:
-      en_US: Please input your SiliconFlow API key
-    url: https://cloud.siliconflow.cn/account/ak
diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.py b/api/core/tools/provider/builtin/siliconflow/tools/flux.py
deleted file mode 100644
index 0d16ff385e..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/tools/flux.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-FLUX_URL = {
-    "schnell": "https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image",
-    "dev": "https://api.siliconflow.cn/v1/image/generations",
-}
-
-
-class FluxTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "accept": "application/json",
-            "content-type": "application/json",
-            "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}",
-        }
-
-        payload = {
-            "prompt": tool_parameters.get("prompt"),
-            "image_size": tool_parameters.get("image_size", "1024x1024"),
-            "seed": tool_parameters.get("seed"),
-            "num_inference_steps": tool_parameters.get("num_inference_steps", 20),
-        }
-        model = tool_parameters.get("model", "schnell")
-        url = FLUX_URL.get(model)
-        if model == "dev":
-            payload["model"] = "black-forest-labs/FLUX.1-dev"
-
-        response = requests.post(url, json=payload, headers=headers)
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response:{response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-        for image in res.get("images", []):
-            result.append(self.create_image_message(image=image.get("url"), save_as=self.VariableKey.IMAGE.value))
-        return result
diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml b/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml
deleted file mode 100644
index d06b9bf3e1..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-identity:
-  name: flux
-  author: hjlarry
-  label:
-    en_US: Flux
-  icon: icon.svg
-description:
-  human:
-    en_US: Generate image via SiliconFlow's flux model.
-  llm: This tool is used to generate image from prompt via SiliconFlow's flux model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 建议用英文的生成图片提示词以获得更好的生成效果。
-    llm_description: this prompt text will be used to generate image.
-    form: llm
-  - name: model
-    type: select
-    required: true
-    options:
-      - value: schnell
-        label:
-          en_US: Flux.1-schnell
-      - value: dev
-        label:
-          en_US: Flux.1-dev
-    default: schnell
-    label:
-      en_US: Choose Image Model
-      zh_Hans: 选择生成图片的模型
-    form: form
-  - name: image_size
-    type: select
-    required: true
-    options:
-      - value: 1024x1024
-        label:
-          en_US: 1024x1024
-      - value: 768x1024
-        label:
-          en_US: 768x1024
-      - value: 576x1024
-        label:
-          en_US: 576x1024
-      - value: 512x1024
-        label:
-          en_US: 512x1024
-      - value: 1024x576
-        label:
-          en_US: 1024x576
-      - value: 768x512
-        label:
-          en_US: 768x512
-    default: 1024x1024
-    label:
-      en_US: Choose Image Size
-      zh_Hans: 选择生成的图片大小
-    form: form
-  - name: num_inference_steps
-    type: number
-    required: true
-    default: 20
-    min: 1
-    max: 100
-    label:
-      en_US: Num Inference Steps
-      zh_Hans: 生成图片的步数
-    form: form
-    human_description:
-      en_US: The number of inference steps to perform. More steps produce higher quality but take longer.
-      zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。
-  - name: seed
-    type: number
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示可以产生相似的图像。
-    form: form
diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py
deleted file mode 100644
index db43790c06..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-SILICONFLOW_API_URL = "https://api.siliconflow.cn/v1/image/generations"
-
-SD_MODELS = {
-    "sd_3": "stabilityai/stable-diffusion-3-medium",
-    "sd_xl": "stabilityai/stable-diffusion-xl-base-1.0",
-    "sd_3.5_large": "stabilityai/stable-diffusion-3-5-large",
-}
-
-
-class StableDiffusionTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        headers = {
-            "accept": "application/json",
-            "content-type": "application/json",
-            "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}",
-        }
-
-        model = tool_parameters.get("model", "sd_3")
-        sd_model = SD_MODELS.get(model)
-
-        payload = {
-            "model": sd_model,
-            "prompt": tool_parameters.get("prompt"),
-            "negative_prompt": tool_parameters.get("negative_prompt", ""),
-            "image_size": tool_parameters.get("image_size", "1024x1024"),
-            "batch_size": tool_parameters.get("batch_size", 1),
-            "seed": tool_parameters.get("seed"),
-            "guidance_scale": tool_parameters.get("guidance_scale", 7.5),
-            "num_inference_steps": tool_parameters.get("num_inference_steps", 20),
-        }
-
-        response = requests.post(SILICONFLOW_API_URL, json=payload, headers=headers)
-        if response.status_code != 200:
-            return self.create_text_message(f"Got Error Response:{response.text}")
-
-        res = response.json()
-        result = [self.create_json_message(res)]
-        for image in res.get("images", []):
-            result.append(self.create_image_message(image=image.get("url"), save_as=self.VariableKey.IMAGE.value))
-        return result
diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml
deleted file mode 100644
index b330c92e16..0000000000
--- a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml
+++ /dev/null
@@ -1,124 +0,0 @@
-identity:
-  name: stable_diffusion
-  author: hjlarry
-  label:
-    en_US: Stable Diffusion
-  icon: icon.svg
-description:
-  human:
-    en_US: Generate image via SiliconFlow's stable diffusion model.
-  llm: This tool is used to generate image from prompt via SiliconFlow's stable diffusion model.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: The text prompt used to generate the image.
-      zh_Hans: 用于生成图片的文字提示词
-    llm_description: this prompt text will be used to generate image.
-    form: llm
-  - name: negative_prompt
-    type: string
-    label:
-      en_US: negative prompt
-      zh_Hans: 负面提示词
-    human_description:
-      en_US: Describe what you don't want included in the image.
-      zh_Hans: 描述您不希望包含在图片中的内容。
-    llm_description: Describe what you don't want included in the image.
-    form: llm
-  - name: model
-    type: select
-    required: true
-    options:
-      - value: sd_3
-        label:
-          en_US: Stable Diffusion 3
-      - value: sd_xl
-        label:
-          en_US: Stable Diffusion XL
-      - value: sd_3.5_large
-        label:
-          en_US: Stable Diffusion 3.5 Large
-    default: sd_3
-    label:
-      en_US: Choose Image Model
-      zh_Hans: 选择生成图片的模型
-    form: form
-  - name: image_size
-    type: select
-    required: true
-    options:
-      - value: 1024x1024
-        label:
-          en_US: 1024x1024
-      - value: 1024x2048
-        label:
-          en_US: 1024x2048
-      - value: 1152x2048
-        label:
-          en_US: 1152x2048
-      - value: 1536x1024
-        label:
-          en_US: 1536x1024
-      - value: 1536x2048
-        label:
-          en_US: 1536x2048
-      - value: 2048x1152
-        label:
-          en_US: 2048x1152
-    default: 1024x1024
-    label:
-      en_US: Choose Image Size
-      zh_Hans: 选择生成图片的大小
-    form: form
-  - name: batch_size
-    type: number
-    required: true
-    default: 1
-    min: 1
-    max: 4
-    label:
-      en_US: Number Images
-      zh_Hans: 生成图片的数量
-    form: form
-  - name: guidance_scale
-    type: number
-    required: true
-    default: 7.5
-    min: 0
-    max: 100
-    label:
-      en_US: Guidance Scale
-      zh_Hans: 与提示词紧密性
-    human_description:
-      en_US: Classifier Free Guidance. How close you want the model to stick to your prompt when looking for a related image to show you.
-      zh_Hans: 无分类器引导。您希望模型在寻找相关图片向您展示时，与您的提示保持多紧密的关联度。
-    form: form
-  - name: num_inference_steps
-    type: number
-    required: true
-    default: 20
-    min: 1
-    max: 100
-    label:
-      en_US: Num Inference Steps
-      zh_Hans: 生成图片的步数
-    human_description:
-      en_US: The number of inference steps to perform. More steps produce higher quality but take longer.
-      zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。
-    form: form
-  - name: seed
-    type: number
-    min: 0
-    max: 9999999999
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    human_description:
-      en_US: The same seed and prompt can produce similar images.
-      zh_Hans: 相同的种子和提示可以产生相似的图像。
-    form: form
diff --git a/api/core/tools/provider/builtin/slack/_assets/icon.svg b/api/core/tools/provider/builtin/slack/_assets/icon.svg
deleted file mode 100644
index e43c2c47dc..0000000000
--- a/api/core/tools/provider/builtin/slack/_assets/icon.svg
+++ /dev/null
@@ -1,22 +0,0 @@
-<?xml version="1.0" ?>
-<svg width="54" height="54" viewBox="0 0 54 54" xmlns="http://www.w3.org/2000/svg" role="presentation">
-  <title>Slack</title>
-  <g fill="none" fill-rule="evenodd">
-    <path
-      d="M19.712.133a5.381 5.381 0 0 0-5.376 5.387 5.381 5.381 0 0 0 5.376 5.386h5.376V5.52A5.381 5.381 0 0 0 19.712.133m0 14.365H5.376A5.381 5.381 0 0 0 0 19.884a5.381 5.381 0 0 0 5.376 5.387h14.336a5.381 5.381 0 0 0 5.376-5.387 5.381 5.381 0 0 0-5.376-5.386"
-      fill="#44BEDF"
-    ></path>
-    <path
-      d="M53.76 19.884a5.381 5.381 0 0 0-5.376-5.386 5.381 5.381 0 0 0-5.376 5.386v5.387h5.376a5.381 5.381 0 0 0 5.376-5.387m-14.336 0V5.52A5.381 5.381 0 0 0 34.048.133a5.381 5.381 0 0 0-5.376 5.387v14.364a5.381 5.381 0 0 0 5.376 5.387 5.381 5.381 0 0 0 5.376-5.387"
-      fill="#2EB67D"
-    ></path>
-    <path
-      d="M34.048 54a5.381 5.381 0 0 0 5.376-5.387 5.381 5.381 0 0 0-5.376-5.386h-5.376v5.386A5.381 5.381 0 0 0 34.048 54m0-14.365h14.336a5.381 5.381 0 0 0 5.376-5.386 5.381 5.381 0 0 0-5.376-5.387H34.048a5.381 5.381 0 0 0-5.376 5.387 5.381 5.381 0 0 0 5.376 5.386"
-      fill="#ECB22E"
-    ></path>
-    <path
-      d="M0 34.249a5.381 5.381 0 0 0 5.376 5.386 5.381 5.381 0 0 0 5.376-5.386v-5.387H5.376A5.381 5.381 0 0 0 0 34.25m14.336-.001v14.364A5.381 5.381 0 0 0 19.712 54a5.381 5.381 0 0 0 5.376-5.387V34.25a5.381 5.381 0 0 0-5.376-5.387 5.381 5.381 0 0 0-5.376 5.387"
-      fill="#E01E5A"
-    ></path>
-  </g>
-</svg>
diff --git a/api/core/tools/provider/builtin/slack/slack.py b/api/core/tools/provider/builtin/slack/slack.py
deleted file mode 100644
index 2de7911f63..0000000000
--- a/api/core/tools/provider/builtin/slack/slack.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from core.tools.provider.builtin.slack.tools.slack_webhook import SlackWebhookTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SlackProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        SlackWebhookTool()
-        pass
diff --git a/api/core/tools/provider/builtin/slack/slack.yaml b/api/core/tools/provider/builtin/slack/slack.yaml
deleted file mode 100644
index 1070ffbf03..0000000000
--- a/api/core/tools/provider/builtin/slack/slack.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-identity:
-  author: Pan YANG
-  name: slack
-  label:
-    en_US: Slack
-    zh_Hans: Slack
-    pt_BR: Slack
-  description:
-    en_US: Slack Webhook
-    zh_Hans: Slack Webhook
-    pt_BR: Slack Webhook
-  icon: icon.svg
-  tags:
-    - social
-    - productivity
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/slack/tools/slack_webhook.py b/api/core/tools/provider/builtin/slack/tools/slack_webhook.py
deleted file mode 100644
index 85e0de7675..0000000000
--- a/api/core/tools/provider/builtin/slack/tools/slack_webhook.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SlackWebhookTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Incoming Webhooks
-        API Document: https://api.slack.com/messaging/webhooks
-        """
-
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        webhook_url = tool_parameters.get("webhook_url", "")
-
-        if not webhook_url.startswith("https://hooks.slack.com/"):
-            return self.create_text_message(
-                f"Invalid parameter webhook_url ${webhook_url}, not a valid Slack webhook URL"
-            )
-
-        headers = {
-            "Content-Type": "application/json",
-        }
-        params = {}
-        payload = {
-            "text": content,
-        }
-
-        try:
-            res = httpx.post(webhook_url, headers=headers, params=params, json=payload)
-            if res.is_success:
-                return self.create_text_message("Text message was sent successfully")
-            else:
-                return self.create_text_message(
-                    f"Failed to send the text message, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to send message through webhook. {}".format(e))
diff --git a/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml b/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml
deleted file mode 100644
index b838d74373..0000000000
--- a/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  name: slack_webhook
-  author: Pan YANG
-  label:
-    en_US: Incoming Webhook to send message
-    zh_Hans: 通过入站 Webhook 发送消息
-    pt_BR: Incoming Webhook to send message
-  icon: icon.svg
-description:
-  human:
-    en_US: Sending a message on Slack via the Incoming Webhook
-    zh_Hans: 通过入站 Webhook 在 Slack 上发送消息
-    pt_BR: Sending a message on Slack via the Incoming Webhook
-  llm: A tool for sending messages to a chat on Slack.
-parameters:
-  - name: webhook_url
-    type: string
-    required: true
-    label:
-      en_US: Slack Incoming Webhook url
-      zh_Hans: Slack 入站 Webhook 的 url
-      pt_BR: Slack Incoming Webhook url
-    human_description:
-      en_US: Slack Incoming Webhook url
-      zh_Hans: Slack 入站 Webhook 的 url
-      pt_BR: Slack Incoming Webhook url
-    form: form
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-      pt_BR: content
-    human_description:
-      en_US: Content to sent to the channel or person.
-      zh_Hans: 消息内容文本
-      pt_BR: Content to sent to the channel or person.
-    llm_description: Content of the message
-    form: llm
diff --git a/api/core/tools/provider/builtin/slidespeak/_assets/icon.png b/api/core/tools/provider/builtin/slidespeak/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/slidespeak/slidespeak.py b/api/core/tools/provider/builtin/slidespeak/slidespeak.py
deleted file mode 100644
index 14c7c4880e..0000000000
--- a/api/core/tools/provider/builtin/slidespeak/slidespeak.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from typing import Any
-
-import requests
-from yarl import URL
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SlideSpeakProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        api_key = credentials.get("slidespeak_api_key")
-        base_url = credentials.get("base_url")
-
-        if not api_key:
-            raise ToolProviderCredentialValidationError("API key is missing")
-
-        if base_url:
-            base_url = str(URL(base_url) / "v1")
-
-        headers = {"Content-Type": "application/json", "X-API-Key": api_key}
-
-        test_task_id = "xxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
-        url = f"{base_url or 'https://api.slidespeak.co/api/v1'}/task_status/{test_task_id}"
-
-        response = requests.get(url, headers=headers)
-        if response.status_code != 200:
-            raise ToolProviderCredentialValidationError("Invalid SlidePeak API key")
diff --git a/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml b/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml
deleted file mode 100644
index 9f6927f1bd..0000000000
--- a/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml
+++ /dev/null
@@ -1,22 +0,0 @@
-identity:
-  author: Kalo Chin
-  name: slidespeak
-  label:
-    en_US: SlideSpeak
-    zh_Hans: SlideSpeak
-  description:
-    en_US: Generate presentation slides using SlideSpeak API
-    zh_Hans: 使用 SlideSpeak API 生成演示幻灯片
-  icon: icon.png
-
-credentials_for_provider:
-  slidespeak_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API Key
-      zh_Hans: API 密钥
-    placeholder:
-      en_US: Enter your SlideSpeak API key
-      zh_Hans: 输入您的 SlideSpeak API 密钥
-    url: https://app.slidespeak.co/settings/developer
diff --git a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py b/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py
deleted file mode 100644
index aa4ee63e97..0000000000
--- a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py
+++ /dev/null
@@ -1,163 +0,0 @@
-import asyncio
-from dataclasses import asdict, dataclass
-from enum import Enum
-from typing import Any, Optional, Union
-
-import aiohttp
-from pydantic import ConfigDict
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SlidesGeneratorTool(BuiltinTool):
-    """
-    Tool for generating presentations using the SlideSpeak API.
-    """
-
-    model_config = ConfigDict(arbitrary_types_allowed=True)
-
-    headers: Optional[dict[str, str]] = None
-    base_url: Optional[str] = None
-    timeout: Optional[aiohttp.ClientTimeout] = None
-    poll_interval: Optional[int] = None
-
-    class TaskState(Enum):
-        FAILURE = "FAILURE"
-        REVOKED = "REVOKED"
-        SUCCESS = "SUCCESS"
-        PENDING = "PENDING"
-        RECEIVED = "RECEIVED"
-        STARTED = "STARTED"
-
-    @dataclass
-    class PresentationRequest:
-        plain_text: str
-        length: Optional[int] = None
-        theme: Optional[str] = None
-
-    async def _generate_presentation(
-        self,
-        session: aiohttp.ClientSession,
-        request: PresentationRequest,
-    ) -> dict[str, Any]:
-        """Generate a new presentation asynchronously"""
-        async with session.post(
-            f"{self.base_url}/presentation/generate",
-            headers=self.headers,
-            json=asdict(request),
-            timeout=self.timeout,
-        ) as response:
-            response.raise_for_status()
-            return await response.json()
-
-    async def _get_task_status(
-        self,
-        session: aiohttp.ClientSession,
-        task_id: str,
-    ) -> dict[str, Any]:
-        """Get the status of a task asynchronously"""
-        async with session.get(
-            f"{self.base_url}/task_status/{task_id}",
-            headers=self.headers,
-            timeout=self.timeout,
-        ) as response:
-            response.raise_for_status()
-            return await response.json()
-
-    async def _wait_for_completion(
-        self,
-        session: aiohttp.ClientSession,
-        task_id: str,
-    ) -> str:
-        """Wait for task completion and return download URL"""
-        while True:
-            status = await self._get_task_status(session, task_id)
-            task_status = self.TaskState(status["task_status"])
-            if task_status == self.TaskState.SUCCESS:
-                return status["task_result"]["url"]
-            if task_status in [self.TaskState.FAILURE, self.TaskState.REVOKED]:
-                raise Exception(f"Task failed with status: {task_status.value}")
-            await asyncio.sleep(self.poll_interval)
-
-    async def _generate_slides(
-        self,
-        plain_text: str,
-        length: Optional[int],
-        theme: Optional[str],
-    ) -> str:
-        """Generate slides and return the download URL"""
-        async with aiohttp.ClientSession() as session:
-            request = self.PresentationRequest(
-                plain_text=plain_text,
-                length=length,
-                theme=theme,
-            )
-            result = await self._generate_presentation(session, request)
-            task_id = result["task_id"]
-            download_url = await self._wait_for_completion(session, task_id)
-            return download_url
-
-    async def _fetch_presentation(
-        self,
-        session: aiohttp.ClientSession,
-        download_url: str,
-    ) -> bytes:
-        """Fetch the presentation file from the download URL"""
-        async with session.get(download_url, timeout=self.timeout) as response:
-            response.raise_for_status()
-            return await response.read()
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """Synchronous invoke method that runs asynchronous code"""
-
-        async def async_invoke():
-            # Extract parameters
-            plain_text = tool_parameters.get("plain_text", "")
-            length = tool_parameters.get("length")
-            theme = tool_parameters.get("theme")
-
-            # Ensure runtime and credentials
-            if not self.runtime or not self.runtime.credentials:
-                raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing")
-
-            # Get API key from credentials
-            api_key = self.runtime.credentials.get("slidespeak_api_key")
-            if not api_key:
-                raise ToolProviderCredentialValidationError("SlideSpeak API key is missing")
-
-            # Set configuration
-            self.headers = {
-                "Content-Type": "application/json",
-                "X-API-Key": api_key,
-            }
-            self.base_url = "https://api.slidespeak.co/api/v1"
-            self.timeout = aiohttp.ClientTimeout(total=30)
-            self.poll_interval = 2
-
-            # Run the asynchronous slide generation
-            try:
-                download_url = await self._generate_slides(plain_text, length, theme)
-
-                # Fetch the presentation file
-                async with aiohttp.ClientSession() as session:
-                    presentation_bytes = await self._fetch_presentation(session, download_url)
-
-                return [
-                    self.create_text_message(download_url),
-                    self.create_blob_message(
-                        blob=presentation_bytes,
-                        meta={"mime_type": "application/vnd.openxmlformats-officedocument.presentationml.presentation"},
-                    ),
-                ]
-            except Exception as e:
-                return [self.create_text_message(f"An error occurred: {str(e)}")]
-
-        # Run the asynchronous code synchronously
-        result = asyncio.run(async_invoke())
-        return result
diff --git a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml b/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml
deleted file mode 100644
index f881dadb20..0000000000
--- a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-identity:
-  name: slide_generator
-  author: Kalo Chin
-  label:
-    en_US: Slides Generator
-    zh_Hans: 幻灯片生成器
-description:
-  human:
-    en_US: Generate presentation slides from text using SlideSpeak API.
-    zh_Hans: 使用 SlideSpeak API 从文本生成演示幻灯片。
-  llm: This tool converts text input into a presentation using the SlideSpeak API service, with options for slide length and theme.
-parameters:
-  - name: plain_text
-    type: string
-    required: true
-    label:
-      en_US: Topic or Content
-      zh_Hans: 主题或内容
-    human_description:
-      en_US: The topic or content to be converted into presentation slides.
-      zh_Hans: 需要转换为幻灯片的内容或主题。
-    llm_description: A string containing the topic or content to be transformed into presentation slides.
-    form: llm
-  - name: length
-    type: number
-    required: false
-    label:
-      en_US: Number of Slides
-      zh_Hans: 幻灯片数量
-    human_description:
-      en_US: The desired number of slides in the presentation (optional).
-      zh_Hans: 演示文稿中所需的幻灯片数量（可选）。
-    llm_description: Optional parameter specifying the number of slides to generate.
-    form: form
-  - name: theme
-    type: select
-    required: false
-    label:
-      en_US: Presentation Theme
-      zh_Hans: 演示主题
-    human_description:
-      en_US: The visual theme for the presentation (optional).
-      zh_Hans: 演示文稿的视觉主题（可选）。
-    llm_description: Optional parameter specifying the presentation theme.
-    options:
-      - label:
-          en_US: Adam
-          zh_Hans: Adam
-        value: adam
-      - label:
-          en_US: Aurora
-          zh_Hans: Aurora
-        value: aurora
-      - label:
-          en_US: Bruno
-          zh_Hans: Bruno
-        value: bruno
-      - label:
-          en_US: Clyde
-          zh_Hans: Clyde
-        value: clyde
-      - label:
-          en_US: Daniel
-          zh_Hans: Daniel
-        value: daniel
-      - label:
-          en_US: Default
-          zh_Hans: Default
-        value: default
-      - label:
-          en_US: Eddy
-          zh_Hans: Eddy
-        value: eddy
-      - label:
-          en_US: Felix
-          zh_Hans: Felix
-        value: felix
-      - label:
-          en_US: Gradient
-          zh_Hans: Gradient
-        value: gradient
-      - label:
-          en_US: Iris
-          zh_Hans: Iris
-        value: iris
-      - label:
-          en_US: Lavender
-          zh_Hans: Lavender
-        value: lavender
-      - label:
-          en_US: Monolith
-          zh_Hans: Monolith
-        value: monolith
-      - label:
-          en_US: Nebula
-          zh_Hans: Nebula
-        value: nebula
-      - label:
-          en_US: Nexus
-          zh_Hans: Nexus
-        value: nexus
-    form: form
diff --git a/api/core/tools/provider/builtin/spark/__init__.py b/api/core/tools/provider/builtin/spark/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/spark/_assets/icon.svg b/api/core/tools/provider/builtin/spark/_assets/icon.svg
deleted file mode 100644
index ef0a9131a4..0000000000
--- a/api/core/tools/provider/builtin/spark/_assets/icon.svg
+++ /dev/null
@@ -1,5 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M21.6547 16.7993C21.3111 18.0034 20.7384 19.0938 20.0054 20.048C18.9058 21.4111 15.1261 21.4111 12.8583 20.8204C10.4072 20.1616 8.6433 18.6395 8.50586 18.5259C9.46797 19.2756 10.6821 19.7072 12.0107 19.7072C15.1948 19.7072 17.7605 17.1174 17.7605 13.9368C17.7605 12.9826 17.5314 12.0966 17.119 11.3015C17.0961 11.2561 17.1419 11.2106 17.1649 11.2333C18.9745 11.5287 22.571 13.2098 21.6547 16.7993Z" fill="#2751D0"/>
-<path d="M21.9994 12.7773C21.9994 12.8454 21.9306 12.8682 21.8848 12.8C21.0372 11.0053 19.5483 10.46 17.7615 10.0511C16.4099 9.75577 15.5166 9.3014 15.1271 9.09694C15.0355 9.0515 14.9668 8.98335 14.8751 8.93791C12.0575 7.23404 12.0117 4.30339 12.0117 4.30339V0.0550813C12.0117 0.00964486 12.0804 -0.0130733 12.1034 0.0096449L18.7694 6.50706L19.2734 6.98414C20.7394 8.52898 21.7474 10.5509 21.9994 12.7773Z" fill="#D82F20"/>
-<path d="M20.0052 20.0462C18.1726 22.4316 15.2863 23.9992 12.0334 23.9992C6.48985 23.9992 2 19.501 2 13.9577C2 11.2543 3.05374 8.8234 4.7947 7.00594L5.29866 6.50614L9.65107 2.25783C9.69688 2.2124 9.7656 2.25783 9.7427 2.30327C9.67397 2.59861 9.55944 3.28015 9.62816 4.18888C9.71979 5.25664 10.0634 6.68789 11.0713 8.27817C11.6898 9.27777 12.5832 10.3228 13.8202 11.4133C13.9577 11.5496 14.118 11.6632 14.2784 11.7995C14.8281 12.3674 15.1488 13.1171 15.1488 13.9577C15.1488 15.6616 13.7515 17.0474 12.0563 17.0474C11.3233 17.0474 10.659 16.7975 10.1321 16.3659C10.0863 16.3204 10.1321 16.2523 10.1779 16.275C10.2925 16.2977 10.407 16.3204 10.5215 16.3204C11.1171 16.3204 11.6211 15.8433 11.6211 15.2299C11.6211 14.8665 11.4378 14.5257 11.163 14.3439C10.4299 13.7533 9.81142 13.1853 9.28455 12.6173C8.55151 11.8222 8.00174 11.0498 7.61231 10.3001C6.81055 11.2997 6.30659 12.5492 6.30659 13.935C6.30659 15.7979 7.17707 17.4563 8.55152 18.5014C8.68896 18.615 10.4528 20.1371 12.9039 20.7959C15.1259 21.432 18.9057 21.4093 20.0052 20.0462Z" fill="#69C5F4"/>
-</svg>
diff --git a/api/core/tools/provider/builtin/spark/spark.py b/api/core/tools/provider/builtin/spark/spark.py
deleted file mode 100644
index e0b1a58a3f..0000000000
--- a/api/core/tools/provider/builtin/spark/spark.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import json
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.spark.tools.spark_img_generation import spark_response
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SparkProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            if "APPID" not in credentials or not credentials.get("APPID"):
-                raise ToolProviderCredentialValidationError("APPID is required.")
-            if "APISecret" not in credentials or not credentials.get("APISecret"):
-                raise ToolProviderCredentialValidationError("APISecret is required.")
-            if "APIKey" not in credentials or not credentials.get("APIKey"):
-                raise ToolProviderCredentialValidationError("APIKey is required.")
-
-            appid = credentials.get("APPID")
-            apisecret = credentials.get("APISecret")
-            apikey = credentials.get("APIKey")
-            prompt = "a cute black dog"
-
-            try:
-                response = spark_response(prompt, appid, apikey, apisecret)
-                data = json.loads(response)
-                code = data["header"]["code"]
-
-                if code == 0:
-                    #  0 success，
-                    pass
-                else:
-                    raise ToolProviderCredentialValidationError("image generate error, code:{}".format(code))
-            except Exception as e:
-                raise ToolProviderCredentialValidationError("APPID APISecret APIKey is invalid. {}".format(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/spark/spark.yaml b/api/core/tools/provider/builtin/spark/spark.yaml
deleted file mode 100644
index fa1543443a..0000000000
--- a/api/core/tools/provider/builtin/spark/spark.yaml
+++ /dev/null
@@ -1,61 +0,0 @@
-identity:
-  author: Onelevenvy
-  name: spark
-  label:
-    en_US: Spark
-    zh_Hans: 讯飞星火
-    pt_BR: Spark
-  description:
-    en_US: Spark Platform Toolkit
-    zh_Hans: 讯飞星火平台工具
-    pt_BR: Pacote de Ferramentas da Plataforma Spark
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  APPID:
-    type: secret-input
-    required: true
-    label:
-      en_US: Spark APPID
-      zh_Hans: APPID
-      pt_BR: Spark APPID
-    help:
-      en_US: Please input your  APPID
-      zh_Hans: 请输入你的 APPID
-      pt_BR: Please input your APPID
-    placeholder:
-      en_US: Please input your APPID
-      zh_Hans: 请输入你的 APPID
-      pt_BR: Please input your APPID
-  APISecret:
-    type: secret-input
-    required: true
-    label:
-      en_US: Spark APISecret
-      zh_Hans: APISecret
-      pt_BR: Spark APISecret
-    help:
-      en_US: Please input your Spark APISecret
-      zh_Hans: 请输入你的 APISecret
-      pt_BR: Please input your Spark APISecret
-    placeholder:
-      en_US: Please input your Spark APISecret
-      zh_Hans: 请输入你的 APISecret
-      pt_BR: Please input your Spark APISecret
-  APIKey:
-    type: secret-input
-    required: true
-    label:
-      en_US: Spark APIKey
-      zh_Hans: APIKey
-      pt_BR: Spark APIKey
-    help:
-      en_US: Please input your Spark APIKey
-      zh_Hans: 请输入你的 APIKey
-      pt_BR: Please input your Spark APIKey
-    placeholder:
-      en_US: Please input your Spark APIKey
-      zh_Hans: 请输入你的 APIKey
-      pt_BR: Please input Spark APIKey
-    url: https://console.xfyun.cn/services
diff --git a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py b/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py
deleted file mode 100644
index 81d9e8d941..0000000000
--- a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py
+++ /dev/null
@@ -1,139 +0,0 @@
-import base64
-import hashlib
-import hmac
-import json
-from base64 import b64decode
-from datetime import datetime
-from time import mktime
-from typing import Any, Union
-from urllib.parse import urlencode
-from wsgiref.handlers import format_date_time
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class AssembleHeaderError(Exception):
-    def __init__(self, msg):
-        self.message = msg
-
-
-class Url:
-    def __init__(self, host, path, schema):
-        self.host = host
-        self.path = path
-        self.schema = schema
-
-
-# calculate sha256 and encode to base64
-def sha256base64(data):
-    sha256 = hashlib.sha256()
-    sha256.update(data)
-    digest = base64.b64encode(sha256.digest()).decode(encoding="utf-8")
-    return digest
-
-
-def parse_url(request_url):
-    stidx = request_url.index("://")
-    host = request_url[stidx + 3 :]
-    schema = request_url[: stidx + 3]
-    edidx = host.index("/")
-    if edidx <= 0:
-        raise AssembleHeaderError("invalid request url:" + request_url)
-    path = host[edidx:]
-    host = host[:edidx]
-    u = Url(host, path, schema)
-    return u
-
-
-def assemble_ws_auth_url(request_url, method="GET", api_key="", api_secret=""):
-    u = parse_url(request_url)
-    host = u.host
-    path = u.path
-    now = datetime.now()
-    date = format_date_time(mktime(now.timetuple()))
-    signature_origin = "host: {}\ndate: {}\n{} {} HTTP/1.1".format(host, date, method, path)
-    signature_sha = hmac.new(
-        api_secret.encode("utf-8"),
-        signature_origin.encode("utf-8"),
-        digestmod=hashlib.sha256,
-    ).digest()
-    signature_sha = base64.b64encode(signature_sha).decode(encoding="utf-8")
-    authorization_origin = (
-        f'api_key="{api_key}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha}"'
-    )
-
-    authorization = base64.b64encode(authorization_origin.encode("utf-8")).decode(encoding="utf-8")
-    values = {"host": host, "date": date, "authorization": authorization}
-
-    return request_url + "?" + urlencode(values)
-
-
-def get_body(appid, text):
-    body = {
-        "header": {"app_id": appid, "uid": "123456789"},
-        "parameter": {"chat": {"domain": "general", "temperature": 0.5, "max_tokens": 4096}},
-        "payload": {"message": {"text": [{"role": "user", "content": text}]}},
-    }
-    return body
-
-
-def spark_response(text, appid, apikey, apisecret):
-    host = "http://spark-api.cn-huabei-1.xf-yun.com/v2.1/tti"
-    url = assemble_ws_auth_url(host, method="POST", api_key=apikey, api_secret=apisecret)
-    content = get_body(appid, text)
-    response = requests.post(url, json=content, headers={"content-type": "application/json"}).text
-    return response
-
-
-class SparkImgGeneratorTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-
-        if "APPID" not in self.runtime.credentials or not self.runtime.credentials.get("APPID"):
-            return self.create_text_message("APPID  is required.")
-        if "APISecret" not in self.runtime.credentials or not self.runtime.credentials.get("APISecret"):
-            return self.create_text_message("APISecret  is required.")
-        if "APIKey" not in self.runtime.credentials or not self.runtime.credentials.get("APIKey"):
-            return self.create_text_message("APIKey  is required.")
-
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-        res = self.img_generation(prompt)
-        result = []
-        for image in res:
-            result.append(
-                self.create_blob_message(
-                    blob=b64decode(image["base64_image"]),
-                    meta={"mime_type": "image/png"},
-                    save_as=self.VariableKey.IMAGE.value,
-                )
-            )
-        return result
-
-    def img_generation(self, prompt):
-        response = spark_response(
-            text=prompt,
-            appid=self.runtime.credentials.get("APPID"),
-            apikey=self.runtime.credentials.get("APIKey"),
-            apisecret=self.runtime.credentials.get("APISecret"),
-        )
-        data = json.loads(response)
-        code = data["header"]["code"]
-        if code != 0:
-            return self.create_text_message(f"error: {code}, {data}")
-        else:
-            text = data["payload"]["choices"]["text"]
-            image_content = text[0]
-            image_base = image_content["content"]
-            json_data = {"base64_image": image_base}
-        return [json_data]
diff --git a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml b/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml
deleted file mode 100644
index d44bbc9564..0000000000
--- a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-identity:
-  name: spark_img_generation
-  author: Onelevenvy
-  label:
-    en_US: Spark Image Generation
-    zh_Hans: 图片生成
-    pt_BR: Geração de imagens Spark
-  icon: icon.svg
-  description:
-    en_US: Spark Image Generation
-    zh_Hans: 图片生成
-    pt_BR: Geração de imagens Spark
-description:
-  human:
-    en_US: Generate images based on user input, with image generation API
-      provided by Spark
-    zh_Hans: 根据用户的输入生成图片，由讯飞星火提供图片生成api
-    pt_BR: Gerar imagens com base na entrada do usuário, com API de geração
-      de imagem fornecida pela Spark
-  llm: spark_img_generation is a tool used to generate images from text
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt
-      zh_Hans: 图像提示词
-      pt_BR: Image prompt
-    llm_description: Image prompt of spark_img_generation tooll, you should
-      describe the image you want to generate as a list of words as possible
-      as detailed
-    form: llm
diff --git a/api/core/tools/provider/builtin/spider/_assets/icon.svg b/api/core/tools/provider/builtin/spider/_assets/icon.svg
deleted file mode 100644
index 604a09d01d..0000000000
--- a/api/core/tools/provider/builtin/spider/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg height="30" width="30" viewBox="0 0 36 34" xml:space="preserve" xmlns="http://www.w3.org/2000/svg" class="fill-accent-foreground transition-all group-hover:scale-110"><title>Spider v1 Logo</title><path fill-rule="evenodd" clip-rule="evenodd" d="M9.13883 7.06589V0.164429L13.0938 0.164429V6.175L14.5178 7.4346C15.577 6.68656 16.7337 6.27495 17.945 6.27495C19.1731 6.27495 20.3451 6.69807 21.4163 7.46593L22.8757 6.175V0.164429L26.8307 0.164429V7.06589V7.95679L26.1634 8.54706L24.0775 10.3922C24.3436 10.8108 24.5958 11.2563 24.8327 11.7262L26.0467 11.4215L28.6971 8.08749L31.793 10.5487L28.7257 14.407L28.3089 14.9313L27.6592 15.0944L26.2418 15.4502C26.3124 15.7082 26.3793 15.9701 26.4422 16.2355L28.653 16.6566L29.092 16.7402L29.4524 17.0045L35.3849 21.355L33.0461 24.5444L27.474 20.4581L27.0719 20.3816C27.1214 21.0613 27.147 21.7543 27.147 22.4577C27.147 22.5398 27.1466 22.6214 27.1459 22.7024L29.5889 23.7911L30.3219 24.1177L30.62 24.8629L33.6873 32.5312L30.0152 34L27.246 27.0769L26.7298 26.8469C25.5612 32.2432 22.0701 33.8808 17.945 33.8808C13.8382 33.8808 10.3598 32.2577 9.17593 26.9185L8.82034 27.0769L6.05109 34L2.37897 32.5312L5.44629 24.8629L5.74435 24.1177L6.47743 23.7911L8.74487 22.7806C8.74366 22.6739 8.74305 22.5663 8.74305 22.4577C8.74305 21.7616 8.76804 21.0758 8.81654 20.4028L8.52606 20.4581L2.95395 24.5444L0.615112 21.355L6.54761 17.0045L6.908 16.7402L7.34701 16.6566L9.44264 16.2575C9.50917 15.9756 9.5801 15.6978 9.65528 15.4242L8.34123 15.0944L7.69155 14.9313L7.27471 14.407L4.20739 10.5487L7.30328 8.08749L9.95376 11.4215L11.0697 11.7016C11.3115 11.2239 11.5692 10.7716 11.8412 10.3473L9.80612 8.54706L9.13883 7.95679V7.06589Z"></path></svg>
diff --git a/api/core/tools/provider/builtin/spider/spider.py b/api/core/tools/provider/builtin/spider/spider.py
deleted file mode 100644
index 5959555318..0000000000
--- a/api/core/tools/provider/builtin/spider/spider.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.spider.spiderApp import Spider
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class SpiderProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            app = Spider(api_key=credentials["spider_api_key"])
-            app.scrape_url(url="https://spider.cloud")
-        except AttributeError as e:
-            # Handle cases where NoneType is not iterable, which might indicate API issues
-            if "NoneType" in str(e) and "not iterable" in str(e):
-                raise ToolProviderCredentialValidationError("API is currently down, try again in 15 minutes", str(e))
-            else:
-                raise ToolProviderCredentialValidationError("An unexpected error occurred.", str(e))
-        except Exception as e:
-            raise ToolProviderCredentialValidationError("An unexpected error occurred.", str(e))
diff --git a/api/core/tools/provider/builtin/spider/spider.yaml b/api/core/tools/provider/builtin/spider/spider.yaml
deleted file mode 100644
index 45702c85dd..0000000000
--- a/api/core/tools/provider/builtin/spider/spider.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  author: William Espegren
-  name: spider
-  label:
-    en_US: Spider
-    zh_CN: Spider
-  description:
-    en_US: Spider API integration, returning LLM-ready data by scraping & crawling websites.
-    zh_CN: Spider API 集成，通过爬取和抓取网站返回 LLM-ready 数据。
-  icon: icon.svg
-  tags:
-    - search
-    - utilities
-credentials_for_provider:
-  spider_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Spider API Key
-      zh_CN: Spider API 密钥
-    placeholder:
-      en_US: Please input your Spider API key
-      zh_CN: 请输入您的 Spider API 密钥
-    help:
-      en_US: Get your Spider API key from your Spider dashboard
-      zh_CN: 从您的 Spider 仪表板中获取 Spider API 密钥。
-    url: https://spider.cloud/
diff --git a/api/core/tools/provider/builtin/spider/spiderApp.py b/api/core/tools/provider/builtin/spider/spiderApp.py
deleted file mode 100644
index 4bc446a1a0..0000000000
--- a/api/core/tools/provider/builtin/spider/spiderApp.py
+++ /dev/null
@@ -1,221 +0,0 @@
-import os
-from typing import Literal, Optional, TypedDict
-
-import requests
-
-
-class RequestParamsDict(TypedDict, total=False):
-    url: Optional[str]
-    request: Optional[Literal["http", "chrome", "smart"]]
-    limit: Optional[int]
-    return_format: Optional[Literal["raw", "markdown", "html2text", "text", "bytes"]]
-    tld: Optional[bool]
-    depth: Optional[int]
-    cache: Optional[bool]
-    budget: Optional[dict[str, int]]
-    locale: Optional[str]
-    cookies: Optional[str]
-    stealth: Optional[bool]
-    headers: Optional[dict[str, str]]
-    anti_bot: Optional[bool]
-    metadata: Optional[bool]
-    viewport: Optional[dict[str, int]]
-    encoding: Optional[str]
-    subdomains: Optional[bool]
-    user_agent: Optional[str]
-    store_data: Optional[bool]
-    gpt_config: Optional[list[str]]
-    fingerprint: Optional[bool]
-    storageless: Optional[bool]
-    readability: Optional[bool]
-    proxy_enabled: Optional[bool]
-    respect_robots: Optional[bool]
-    query_selector: Optional[str]
-    full_resources: Optional[bool]
-    request_timeout: Optional[int]
-    run_in_background: Optional[bool]
-    skip_config_checks: Optional[bool]
-
-
-class Spider:
-    def __init__(self, api_key: Optional[str] = None):
-        """
-        Initialize the Spider with an API key.
-
-        :param api_key: A string of the API key for Spider. Defaults to the SPIDER_API_KEY environment variable.
-        :raises ValueError: If no API key is provided.
-        """
-        self.api_key = api_key or os.getenv("SPIDER_API_KEY")
-        if self.api_key is None:
-            raise ValueError("No API key provided")
-
-    def api_post(
-        self,
-        endpoint: str,
-        data: dict,
-        stream: bool,
-        content_type: str = "application/json",
-    ):
-        """
-        Send a POST request to the specified API endpoint.
-
-        :param endpoint: The API endpoint to which the POST request is sent.
-        :param data: The data (dictionary) to be sent in the POST request.
-        :param stream: Boolean indicating if the response should be streamed.
-        :return: The JSON response or the raw response stream if stream is True.
-        """
-        headers = self._prepare_headers(content_type)
-        response = self._post_request(f"https://api.spider.cloud/v1/{endpoint}", data, headers, stream)
-
-        if stream:
-            return response
-        elif response.status_code == 200:
-            return response.json()
-        else:
-            self._handle_error(response, f"post to {endpoint}")
-
-    def api_get(self, endpoint: str, stream: bool, content_type: str = "application/json"):
-        """
-        Send a GET request to the specified endpoint.
-
-        :param endpoint: The API endpoint from which to retrieve data.
-        :return: The JSON decoded response.
-        """
-        headers = self._prepare_headers(content_type)
-        response = self._get_request(f"https://api.spider.cloud/v1/{endpoint}", headers, stream)
-        if response.status_code == 200:
-            return response.json()
-        else:
-            self._handle_error(response, f"get from {endpoint}")
-
-    def get_credits(self):
-        """
-        Retrieve the account's remaining credits.
-
-        :return: JSON response containing the number of credits left.
-        """
-        return self.api_get("credits", stream=False)
-
-    def scrape_url(
-        self,
-        url: str,
-        params: Optional[RequestParamsDict] = None,
-        stream: bool = False,
-        content_type: str = "application/json",
-    ):
-        """
-        Scrape data from the specified URL.
-
-        :param url: The URL from which to scrape data.
-        :param params: Optional dictionary of additional parameters for the scrape request.
-        :return: JSON response containing the scraping results.
-        """
-        params = params or {}
-
-        # Add { "return_format": "markdown" } to the params if not already present
-        if "return_format" not in params:
-            params["return_format"] = "markdown"
-
-        # Set limit to 1
-        params["limit"] = 1
-
-        return self.api_post("crawl", {"url": url, **(params or {})}, stream, content_type)
-
-    def crawl_url(
-        self,
-        url: str,
-        params: Optional[RequestParamsDict] = None,
-        stream: bool = False,
-        content_type: str = "application/json",
-    ):
-        """
-        Start crawling at the specified URL.
-
-        :param url: The URL to begin crawling.
-        :param params: Optional dictionary with additional parameters to customize the crawl.
-        :param stream: Boolean indicating if the response should be streamed. Defaults to False.
-        :return: JSON response or the raw response stream if streaming enabled.
-        """
-        params = params or {}
-
-        # Add { "return_format": "markdown" } to the params if not already present
-        if "return_format" not in params:
-            params["return_format"] = "markdown"
-
-        return self.api_post("crawl", {"url": url, **(params or {})}, stream, content_type)
-
-    def links(
-        self,
-        url: str,
-        params: Optional[RequestParamsDict] = None,
-        stream: bool = False,
-        content_type: str = "application/json",
-    ):
-        """
-        Retrieve links from the specified URL.
-
-        :param url: The URL from which to extract links.
-        :param params: Optional parameters for the link retrieval request.
-        :return: JSON response containing the links.
-        """
-        return self.api_post("links", {"url": url, **(params or {})}, stream, content_type)
-
-    def extract_contacts(
-        self,
-        url: str,
-        params: Optional[RequestParamsDict] = None,
-        stream: bool = False,
-        content_type: str = "application/json",
-    ):
-        """
-        Extract contact information from the specified URL.
-
-        :param url: The URL from which to extract contact information.
-        :param params: Optional parameters for the contact extraction.
-        :return: JSON response containing extracted contact details.
-        """
-        return self.api_post(
-            "pipeline/extract-contacts",
-            {"url": url, **(params or {})},
-            stream,
-            content_type,
-        )
-
-    def label(
-        self,
-        url: str,
-        params: Optional[RequestParamsDict] = None,
-        stream: bool = False,
-        content_type: str = "application/json",
-    ):
-        """
-        Apply labeling to data extracted from the specified URL.
-
-        :param url: The URL to label data from.
-        :param params: Optional parameters to guide the labeling process.
-        :return: JSON response with labeled data.
-        """
-        return self.api_post("pipeline/label", {"url": url, **(params or {})}, stream, content_type)
-
-    def _prepare_headers(self, content_type: str = "application/json"):
-        return {
-            "Content-Type": content_type,
-            "Authorization": f"Bearer {self.api_key}",
-            "User-Agent": "Spider-Client/0.0.27",
-        }
-
-    def _post_request(self, url: str, data, headers, stream=False):
-        return requests.post(url, headers=headers, json=data, stream=stream)
-
-    def _get_request(self, url: str, headers, stream=False):
-        return requests.get(url, headers=headers, stream=stream)
-
-    def _delete_request(self, url: str, headers, stream=False):
-        return requests.delete(url, headers=headers, stream=stream)
-
-    def _handle_error(self, response, action):
-        if response.status_code in {402, 409, 500}:
-            error_message = response.json().get("error", "Unknown error occurred")
-            raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}")
-        else:
-            raise Exception(f"Unexpected error occurred while trying to {action}. Status code: {response.status_code}")
diff --git a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py b/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py
deleted file mode 100644
index 20d2daef55..0000000000
--- a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from typing import Any, Union
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.spider.spiderApp import Spider
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class ScrapeTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        # initialize the app object with the api key
-        app = Spider(api_key=self.runtime.credentials["spider_api_key"])
-
-        url = tool_parameters["url"]
-        mode = tool_parameters["mode"]
-
-        options = {
-            "limit": tool_parameters.get("limit", 0),
-            "depth": tool_parameters.get("depth", 0),
-            "blacklist": tool_parameters.get("blacklist", "").split(",") if tool_parameters.get("blacklist") else [],
-            "whitelist": tool_parameters.get("whitelist", "").split(",") if tool_parameters.get("whitelist") else [],
-            "readability": tool_parameters.get("readability", False),
-        }
-
-        result = ""
-
-        try:
-            if mode == "scrape":
-                scrape_result = app.scrape_url(
-                    url=url,
-                    params=options,
-                )
-
-                for i in scrape_result:
-                    result += "URL: " + i.get("url", "") + "\n"
-                    result += "CONTENT: " + i.get("content", "") + "\n\n"
-            elif mode == "crawl":
-                crawl_result = app.crawl_url(
-                    url=tool_parameters["url"],
-                    params=options,
-                )
-                for i in crawl_result:
-                    result += "URL: " + i.get("url", "") + "\n"
-                    result += "CONTENT: " + i.get("content", "") + "\n\n"
-        except Exception as e:
-            return self.create_text_message("An error occurred", str(e))
-
-        return self.create_text_message(result)
diff --git a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml b/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml
deleted file mode 100644
index 5b20c2fc2f..0000000000
--- a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-identity:
-  name: scraper_crawler
-  author: William Espegren
-  label:
-    en_US: Web Scraper & Crawler
-    zh_Hans: 网页抓取与爬虫
-description:
-  human:
-    en_US: A tool for scraping & crawling webpages. Input should be a url.
-    zh_Hans: 用于抓取和爬取网页的工具。输入应该是一个网址。
-  llm: A tool for scraping & crawling webpages. Input should be a url.
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: URL
-      zh_Hans: 网址
-    human_description:
-      en_US: url to be scraped or crawled
-      zh_Hans: 要抓取或爬取的网址
-    llm_description: url to either be scraped or crawled
-    form: llm
-  - name: mode
-    type: select
-    required: true
-    options:
-      - value: scrape
-        label:
-          en_US: scrape
-          zh_Hans: 抓取
-      - value: crawl
-        label:
-          en_US: crawl
-          zh_Hans: 爬取
-    default: crawl
-    label:
-      en_US: Mode
-      zh_Hans: 模式
-    human_description:
-      en_US: used for selecting to either scrape the website or crawl the entire website following subpages
-      zh_Hans: 用于选择抓取网站或爬取整个网站及其子页面
-    form: form
-  - name: limit
-    type: number
-    required: false
-    label:
-      en_US: maximum number of pages to crawl
-      zh_Hans: 最大爬取页面数
-    human_description:
-      en_US: specify the maximum number of pages to crawl per website. the crawler will stop after reaching this limit.
-      zh_Hans: 指定每个网站要爬取的最大页面数。爬虫将在达到此限制后停止。
-    form: form
-    min: 0
-    default: 0
-  - name: depth
-    type: number
-    required: false
-    label:
-      en_US: maximum depth of pages to crawl
-      zh_Hans: 最大爬取深度
-    human_description:
-      en_US: the crawl limit for maximum depth.
-      zh_Hans: 最大爬取深度的限制。
-    form: form
-    min: 0
-    default: 0
-  - name: blacklist
-    type: string
-    required: false
-    label:
-      en_US: url patterns to exclude
-      zh_Hans: 要排除的URL模式
-    human_description:
-      en_US: blacklist a set of paths that you do not want to crawl. you can use regex patterns to help with the list.
-      zh_Hans: 指定一组不想爬取的路径。您可以使用正则表达式模式来帮助定义列表。
-    placeholder:
-      en_US: /blog/*, /about
-    form: form
-  - name: whitelist
-    type: string
-    required: false
-    label:
-      en_US: URL patterns to include
-      zh_Hans: 要包含的URL模式
-    human_description:
-      en_US: Whitelist a set of paths that you want to crawl, ignoring all other routes that do not match the patterns. You can use regex patterns to help with the list.
-      zh_Hans: 指定一组要爬取的路径，忽略所有不匹配模式的其他路由。您可以使用正则表达式模式来帮助定义列表。
-    placeholder:
-      en_US: /blog/*, /about
-    form: form
-  - name: readability
-    type: boolean
-    required: false
-    label:
-      en_US: Pre-process the content for LLM usage
-      zh_Hans: 仅返回页面的主要内容
-    human_description:
-      en_US: Use Mozilla's readability to pre-process the content for reading. This may drastically improve the content for LLM usage.
-      zh_Hans: 如果启用，爬虫将仅返回页面的主要内容，不包括标题、导航、页脚等。
-    form: form
-    default: false
diff --git a/api/core/tools/provider/builtin/stability/_assets/icon.svg b/api/core/tools/provider/builtin/stability/_assets/icon.svg
deleted file mode 100644
index 56357a3555..0000000000
--- a/api/core/tools/provider/builtin/stability/_assets/icon.svg
+++ /dev/null
@@ -1,10 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="40" height="40" viewBox="0 0 40 40" fill="none">
-  <path d="M12.0377 35C19.1243 35 23.7343 31.3 23.7343 25.7333C23.7343 21.4167 20.931 18.6733 15.9177 17.5367L12.701 16.585C9.87768 15.96 8.22935 15.21 8.61768 13.2933C8.94102 11.6983 9.90602 10.7983 12.1543 10.7983C19.296 10.7983 21.9427 13.2933 21.9427 13.2933V7.29333C21.9427 7.29333 19.366 5 12.1543 5C5.35435 5 1.66602 8.45 1.66602 13.7883C1.66602 18.105 4.22268 20.6167 9.40768 21.8083L9.96435 21.9467C10.7527 22.1867 11.8177 22.505 13.1577 22.9C15.8077 23.525 16.4893 24.1883 16.4893 26.1767C16.4893 27.9933 14.5727 29.0267 12.0393 29.0267C4.73435 29.0267 1.66602 25.385 1.66602 25.385V32.0333C1.66602 32.0333 3.58602 35 12.0377 35Z" fill="url(#paint0_linear_17756_15767)"/>
-  <path d="M33.9561 34.55C36.4645 34.55 38.3328 32.7617 38.3328 30.34C38.3328 27.8667 36.5178 26.13 33.9561 26.13C31.4478 26.13 29.6328 27.8667 29.6328 30.34C29.6328 32.8133 31.4478 34.55 33.9561 34.55Z" fill="#E80000"/>
-  <defs>
-    <linearGradient id="paint0_linear_17756_15767" x1="1105.08" y1="5" x2="1105.08" y2="3005" gradientUnits="userSpaceOnUse">
-      <stop stop-color="#9D39FF"/>
-      <stop offset="1" stop-color="#A380FF"/>
-    </linearGradient>
-  </defs>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/stability/stability.py b/api/core/tools/provider/builtin/stability/stability.py
deleted file mode 100644
index f09d81ac27..0000000000
--- a/api/core/tools/provider/builtin/stability/stability.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin.stability.tools.base import BaseStabilityAuthorization
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class StabilityToolProvider(BuiltinToolProviderController, BaseStabilityAuthorization):
-    """
-    This class is responsible for providing the stability tool.
-    """
-
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        """
-        This method is responsible for validating the credentials.
-        """
-        self.sd_validate_credentials(credentials)
diff --git a/api/core/tools/provider/builtin/stability/stability.yaml b/api/core/tools/provider/builtin/stability/stability.yaml
deleted file mode 100644
index c3e01c1e31..0000000000
--- a/api/core/tools/provider/builtin/stability/stability.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: Dify
-  name: stability
-  label:
-    en_US: Stability
-    zh_Hans: Stability
-    pt_BR: Stability
-  description:
-    en_US: Activating humanity's potential through generative AI
-    zh_Hans: 通过生成式 AI 激活人类的潜力
-    pt_BR: Activating humanity's potential through generative AI
-  icon: icon.svg
-  tags:
-    - image
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API key
-      zh_Hans: API key
-      pt_BR: API key
-    placeholder:
-      en_US: Please input your API key
-      zh_Hans: 请输入你的 API key
-      pt_BR: Please input your API key
-    help:
-      en_US: Get your API key from Stability
-      zh_Hans: 从 Stability 获取你的 API key
-      pt_BR: Get your API key from Stability
-    url: https://platform.stability.ai/account/keys
diff --git a/api/core/tools/provider/builtin/stability/tools/base.py b/api/core/tools/provider/builtin/stability/tools/base.py
deleted file mode 100644
index 2d1cd92870..0000000000
--- a/api/core/tools/provider/builtin/stability/tools/base.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import requests
-from yarl import URL
-
-from core.tools.errors import ToolProviderCredentialValidationError
-
-
-class BaseStabilityAuthorization:
-    def sd_validate_credentials(self, credentials: dict):
-        """
-        This method is responsible for validating the credentials.
-        """
-        api_key = credentials.get("api_key", "")
-        if not api_key:
-            raise ToolProviderCredentialValidationError("API key is required.")
-
-        response = requests.get(
-            URL("https://api.stability.ai") / "v1" / "user" / "account",
-            headers=self.generate_authorization_headers(credentials),
-            timeout=(5, 30),
-        )
-
-        if not response.ok:
-            raise ToolProviderCredentialValidationError("Invalid API key.")
-
-        return True
-
-    def generate_authorization_headers(self, credentials: dict) -> dict[str, str]:
-        """
-        This method is responsible for generating the authorization headers.
-        """
-        return {"Authorization": f"Bearer {credentials.get('api_key', '')}"}
diff --git a/api/core/tools/provider/builtin/stability/tools/text2image.py b/api/core/tools/provider/builtin/stability/tools/text2image.py
deleted file mode 100644
index 6bcf315484..0000000000
--- a/api/core/tools/provider/builtin/stability/tools/text2image.py
+++ /dev/null
@@ -1,56 +0,0 @@
-from typing import Any
-
-from httpx import post
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.provider.builtin.stability.tools.base import BaseStabilityAuthorization
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class StableDiffusionTool(BuiltinTool, BaseStabilityAuthorization):
-    """
-    This class is responsible for providing the stable diffusion tool.
-    """
-
-    model_endpoint_map: dict[str, str] = {
-        "sd3": "https://api.stability.ai/v2beta/stable-image/generate/sd3",
-        "sd3-turbo": "https://api.stability.ai/v2beta/stable-image/generate/sd3",
-        "core": "https://api.stability.ai/v2beta/stable-image/generate/core",
-    }
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invoke the tool.
-        """
-        payload = {
-            "prompt": tool_parameters.get("prompt", ""),
-            "aspect_ratio": tool_parameters.get("aspect_ratio", "16:9") or tool_parameters.get("aspect_radio", "16:9"),
-            "mode": "text-to-image",
-            "seed": tool_parameters.get("seed", 0),
-            "output_format": "png",
-        }
-
-        model = tool_parameters.get("model", "core")
-
-        if model in {"sd3", "sd3-turbo"}:
-            payload["model"] = tool_parameters.get("model")
-
-        if model != "sd3-turbo":
-            payload["negative_prompt"] = tool_parameters.get("negative_prompt", "")
-
-        response = post(
-            self.model_endpoint_map[tool_parameters.get("model", "core")],
-            headers={
-                "accept": "image/*",
-                **self.generate_authorization_headers(self.runtime.credentials),
-            },
-            files={key: (None, str(value)) for key, value in payload.items()},
-            timeout=(5, 30),
-        )
-
-        if not response.status_code == 200:
-            raise Exception(response.text)
-
-        return self.create_blob_message(
-            blob=response.content, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-        )
diff --git a/api/core/tools/provider/builtin/stability/tools/text2image.yaml b/api/core/tools/provider/builtin/stability/tools/text2image.yaml
deleted file mode 100644
index 21345f9f18..0000000000
--- a/api/core/tools/provider/builtin/stability/tools/text2image.yaml
+++ /dev/null
@@ -1,142 +0,0 @@
-identity:
-  name: stability_text2image
-  author: Dify
-  label:
-    en_US: StableDiffusion
-    zh_Hans: 稳定扩散
-    pt_BR: StableDiffusion
-description:
-  human:
-    en_US: A tool for generate images based on the text input
-    zh_Hans: 一个基于文本输入生成图像的工具
-    pt_BR: A tool for generate images based on the text input
-  llm: A tool for generate images based on the text input
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: used for generating images
-      zh_Hans: 用于生成图像
-      pt_BR: used for generating images
-    llm_description: key words for generating images
-    form: llm
-  - name: model
-    type: select
-    default: sd3-turbo
-    required: true
-    label:
-      en_US: Model
-      zh_Hans: 模型
-      pt_BR: Model
-    options:
-      - value: core
-        label:
-          en_US: Core
-          zh_Hans: Core
-          pt_BR: Core
-      - value: sd3
-        label:
-          en_US: Stable Diffusion 3
-          zh_Hans: Stable Diffusion 3
-          pt_BR: Stable Diffusion 3
-      - value: sd3-turbo
-        label:
-          en_US: Stable Diffusion 3 Turbo
-          zh_Hans: Stable Diffusion 3 Turbo
-          pt_BR: Stable Diffusion 3 Turbo
-    human_description:
-      en_US: Model for generating images
-      zh_Hans: 用于生成图像的模型
-      pt_BR: Model for generating images
-    llm_description: Model for generating images
-    form: form
-  - name: negative_prompt
-    type: string
-    default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines
-    required: false
-    label:
-      en_US: Negative Prompt
-      zh_Hans: 负面提示
-      pt_BR: Negative Prompt
-    human_description:
-      en_US: Negative Prompt
-      zh_Hans: 负面提示
-      pt_BR: Negative Prompt
-    llm_description: Negative Prompt
-    form: form
-  - name: seeds
-    type: number
-    default: 0
-    required: false
-    label:
-      en_US: Seeds
-      zh_Hans: 种子
-      pt_BR: Seeds
-    human_description:
-      en_US: Seeds
-      zh_Hans: 种子
-      pt_BR: Seeds
-    llm_description: Seeds
-    min: 0
-    max: 4294967294
-    form: form
-  - name: aspect_ratio
-    type: select
-    default: '16:9'
-    options:
-      - value: '16:9'
-        label:
-          en_US: '16:9'
-          zh_Hans: '16:9'
-          pt_BR: '16:9'
-      - value: '1:1'
-        label:
-          en_US: '1:1'
-          zh_Hans: '1:1'
-          pt_BR: '1:1'
-      - value: '21:9'
-        label:
-          en_US: '21:9'
-          zh_Hans: '21:9'
-          pt_BR: '21:9'
-      - value: '2:3'
-        label:
-          en_US: '2:3'
-          zh_Hans: '2:3'
-          pt_BR: '2:3'
-      - value: '4:5'
-        label:
-          en_US: '4:5'
-          zh_Hans: '4:5'
-          pt_BR: '4:5'
-      - value: '5:4'
-        label:
-          en_US: '5:4'
-          zh_Hans: '5:4'
-          pt_BR: '5:4'
-      - value: '9:16'
-        label:
-          en_US: '9:16'
-          zh_Hans: '9:16'
-          pt_BR: '9:16'
-      - value: '9:21'
-        label:
-          en_US: '9:21'
-          zh_Hans: '9:21'
-          pt_BR: '9:21'
-    required: false
-    label:
-      en_US: Aspect Ratio
-      zh_Hans: 长宽比
-      pt_BR: Aspect Ratio
-    human_description:
-      en_US: Aspect Ratio
-      zh_Hans: 长宽比
-      pt_BR: Aspect Ratio
-    llm_description: Aspect Ratio
-    form: form
diff --git a/api/core/tools/provider/builtin/stablediffusion/_assets/icon.png b/api/core/tools/provider/builtin/stablediffusion/_assets/icon.png
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diff --git a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py b/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py
deleted file mode 100644
index abaa297cf3..0000000000
--- a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.stablediffusion.tools.stable_diffusion import StableDiffusionTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class StableDiffusionProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            StableDiffusionTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).validate_models()
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml b/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
deleted file mode 100644
index 9b3c804f72..0000000000
--- a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-identity:
-  author: Dify
-  name: stablediffusion
-  label:
-    en_US: Stable Diffusion
-    zh_Hans: Stable Diffusion
-    pt_BR: Stable Diffusion
-  description:
-    en_US: Stable Diffusion is a tool for generating images which can be deployed locally.
-    zh_Hans: Stable Diffusion 是一个可以在本地部署的图片生成的工具。
-    pt_BR: Stable Diffusion is a tool for generating images which can be deployed locally.
-  icon: icon.png
-  tags:
-    - image
-credentials_for_provider:
-  base_url:
-    type: secret-input
-    required: true
-    label:
-      en_US: Base URL
-      zh_Hans: StableDiffusion服务器的Base URL
-      pt_BR: Base URL
-    placeholder:
-      en_US: Please input your StableDiffusion server's Base URL
-      zh_Hans: 请输入你的 StableDiffusion 服务器的 Base URL
-      pt_BR: Please input your StableDiffusion server's Base URL
-  model:
-    type: text-input
-    required: true
-    label:
-      en_US: Model
-      zh_Hans: 模型
-      pt_BR: Model
-    placeholder:
-      en_US: Please input your model
-      zh_Hans: 请输入你的模型名称
-      pt_BR: Please input your model
-    help:
-      en_US: The model name of the StableDiffusion server
-      zh_Hans: StableDiffusion服务器的模型名称
-      pt_BR: The model name of the StableDiffusion server
-    url: https://docs.dify.ai/tutorials/tool-configuration/stable-diffusion
diff --git a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py
deleted file mode 100644
index 64fdc961b4..0000000000
--- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py
+++ /dev/null
@@ -1,390 +0,0 @@
-import io
-import json
-from base64 import b64decode, b64encode
-from copy import deepcopy
-from typing import Any, Union
-
-from httpx import get, post
-from PIL import Image
-from yarl import URL
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-# All commented out parameters default to null
-DRAW_TEXT_OPTIONS = {
-    # Prompts
-    "prompt": "",
-    "negative_prompt": "",
-    # "styles": [],
-    # Seeds
-    "seed": -1,
-    "subseed": -1,
-    "subseed_strength": 0,
-    "seed_resize_from_h": -1,
-    "seed_resize_from_w": -1,
-    # Samplers
-    "sampler_name": "DPM++ 2M",
-    # "scheduler": "",
-    # "sampler_index": "Automatic",
-    # Latent Space Options
-    "batch_size": 1,
-    "n_iter": 1,
-    "steps": 10,
-    "cfg_scale": 7,
-    "width": 512,
-    "height": 512,
-    # "restore_faces": True,
-    # "tiling": True,
-    "do_not_save_samples": False,
-    "do_not_save_grid": False,
-    # "eta": 0,
-    # "denoising_strength": 0.75,
-    # "s_min_uncond": 0,
-    # "s_churn": 0,
-    # "s_tmax": 0,
-    # "s_tmin": 0,
-    # "s_noise": 0,
-    "override_settings": {},
-    "override_settings_restore_afterwards": True,
-    # Refinement Options
-    "refiner_checkpoint": "",
-    "refiner_switch_at": 0,
-    "disable_extra_networks": False,
-    # "firstpass_image": "",
-    # "comments": "",
-    # High-Resolution Options
-    "enable_hr": False,
-    "firstphase_width": 0,
-    "firstphase_height": 0,
-    "hr_scale": 2,
-    # "hr_upscaler": "",
-    "hr_second_pass_steps": 0,
-    "hr_resize_x": 0,
-    "hr_resize_y": 0,
-    # "hr_checkpoint_name": "",
-    # "hr_sampler_name": "",
-    # "hr_scheduler": "",
-    "hr_prompt": "",
-    "hr_negative_prompt": "",
-    # Task Options
-    # "force_task_id": "",
-    # Script Options
-    # "script_name": "",
-    "script_args": [],
-    # Output Options
-    "send_images": True,
-    "save_images": False,
-    "alwayson_scripts": {},
-    # "infotext": "",
-}
-
-
-class StableDiffusionTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # base url
-        base_url = self.runtime.credentials.get("base_url", None)
-        if not base_url:
-            return self.create_text_message("Please input base_url")
-
-        if tool_parameters.get("model"):
-            self.runtime.credentials["model"] = tool_parameters["model"]
-
-        model = self.runtime.credentials.get("model", None)
-        if not model:
-            return self.create_text_message("Please input model")
-
-        # set model
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "options")
-            response = post(url, data=json.dumps({"sd_model_checkpoint": model}))
-            if response.status_code != 200:
-                raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model")
-
-        # get image id and image variable
-        image_id = tool_parameters.get("image_id", "")
-        image_variable = self.get_default_image_variable()
-        # Return text2img if there's no image ID or no image variable
-        if not image_id or not image_variable:
-            return self.text2img(base_url=base_url, tool_parameters=tool_parameters)
-
-        # Proceed with image-to-image generation
-        return self.img2img(base_url=base_url, tool_parameters=tool_parameters)
-
-    def validate_models(self) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        validate models
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                raise ToolProviderCredentialValidationError("Please input base_url")
-            model = self.runtime.credentials.get("model", None)
-            if not model:
-                raise ToolProviderCredentialValidationError("Please input model")
-
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models")
-            response = get(url=api_url, timeout=10)
-            if response.status_code == 404:
-                # try draw a picture
-                self._invoke(
-                    user_id="test",
-                    tool_parameters={
-                        "prompt": "a cat",
-                        "width": 1024,
-                        "height": 1024,
-                        "steps": 1,
-                        "lora": "",
-                    },
-                )
-            elif response.status_code != 200:
-                raise ToolProviderCredentialValidationError("Failed to get models")
-            else:
-                models = [d["model_name"] for d in response.json()]
-                if len([d for d in models if d == model]) > 0:
-                    return self.create_text_message(json.dumps(models))
-                else:
-                    raise ToolProviderCredentialValidationError(f"model {model} does not exist")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(f"Failed to get models, {e}")
-
-    def get_sd_models(self) -> list[str]:
-        """
-        get sd models
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                return []
-            else:
-                return [d["model_name"] for d in response.json()]
-        except Exception as e:
-            return []
-
-    def get_sample_methods(self) -> list[str]:
-        """
-        get sample method
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "samplers")
-            response = get(url=api_url, timeout=(2, 10))
-            if response.status_code != 200:
-                return []
-            else:
-                return [d["name"] for d in response.json()]
-        except Exception as e:
-            return []
-
-    def img2img(
-        self, base_url: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        generate image
-        """
-
-        # Fetch the binary data of the image
-        image_variable = self.get_default_image_variable()
-        image_binary = self.get_variable_file(image_variable.name)
-        if not image_binary:
-            return self.create_text_message("Image not found, please request user to generate image firstly.")
-
-        # Convert image to RGB and save as PNG
-        try:
-            with Image.open(io.BytesIO(image_binary)) as image, io.BytesIO() as buffer:
-                image.convert("RGB").save(buffer, format="PNG")
-                image_binary = buffer.getvalue()
-        except Exception as e:
-            return self.create_text_message(f"Failed to process the image: {str(e)}")
-
-        # copy draw options
-        draw_options = deepcopy(DRAW_TEXT_OPTIONS)
-        # set image options
-        model = tool_parameters.get("model", "")
-        draw_options_image = {
-            "init_images": [b64encode(image_binary).decode("utf-8")],
-            "denoising_strength": 0.9,
-            "restore_faces": False,
-            "script_args": [],
-            "override_settings": {"sd_model_checkpoint": model},
-            "resize_mode": 0,
-            "image_cfg_scale": 0,
-            # "mask": None,
-            "mask_blur_x": 4,
-            "mask_blur_y": 4,
-            "mask_blur": 0,
-            "mask_round": True,
-            "inpainting_fill": 0,
-            "inpaint_full_res": True,
-            "inpaint_full_res_padding": 0,
-            "inpainting_mask_invert": 0,
-            "initial_noise_multiplier": 0,
-            # "latent_mask": None,
-            "include_init_images": True,
-        }
-        # update key and values
-        draw_options.update(draw_options_image)
-        draw_options.update(tool_parameters)
-
-        # get prompt lora model
-        prompt = tool_parameters.get("prompt", "")
-        lora = tool_parameters.get("lora", "")
-        model = tool_parameters.get("model", "")
-        if lora:
-            draw_options["prompt"] = f"{lora},{prompt}"
-        else:
-            draw_options["prompt"] = prompt
-
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "img2img")
-            response = post(url, data=json.dumps(draw_options), timeout=120)
-            if response.status_code != 200:
-                return self.create_text_message("Failed to generate image")
-
-            image = response.json()["images"][0]
-
-            return self.create_blob_message(
-                blob=b64decode(image), meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-            )
-
-        except Exception as e:
-            return self.create_text_message("Failed to generate image")
-
-    def text2img(
-        self, base_url: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        generate image
-        """
-        # copy draw options
-        draw_options = deepcopy(DRAW_TEXT_OPTIONS)
-        draw_options.update(tool_parameters)
-        # get prompt lora model
-        prompt = tool_parameters.get("prompt", "")
-        lora = tool_parameters.get("lora", "")
-        model = tool_parameters.get("model", "")
-        if lora:
-            draw_options["prompt"] = f"{lora},{prompt}"
-        else:
-            draw_options["prompt"] = prompt
-        draw_options["override_settings"]["sd_model_checkpoint"] = model
-
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "txt2img")
-            response = post(url, data=json.dumps(draw_options), timeout=120)
-            if response.status_code != 200:
-                return self.create_text_message("Failed to generate image")
-
-            image = response.json()["images"][0]
-
-            return self.create_blob_message(
-                blob=b64decode(image), meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-            )
-
-        except Exception as e:
-            return self.create_text_message("Failed to generate image")
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        parameters = [
-            ToolParameter(
-                name="prompt",
-                label=I18nObject(en_US="Prompt", zh_Hans="Prompt"),
-                human_description=I18nObject(
-                    en_US="Image prompt, you can check the official documentation of Stable Diffusion",
-                    zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档",
-                ),
-                type=ToolParameter.ToolParameterType.STRING,
-                form=ToolParameter.ToolParameterForm.LLM,
-                llm_description="Image prompt of Stable Diffusion, you should describe the image you want to generate"
-                " as a list of words as possible as detailed, the prompt must be written in English.",
-                required=True,
-            ),
-        ]
-        if len(self.list_default_image_variables()) != 0:
-            parameters.append(
-                ToolParameter(
-                    name="image_id",
-                    label=I18nObject(en_US="image_id", zh_Hans="image_id"),
-                    human_description=I18nObject(
-                        en_US="Image id of the image you want to generate based on, if you want to generate image based"
-                        " on the default image, you can leave this field empty.",
-                        zh_Hans="您想要生成的图像的图像 ID，如果您想要基于默认图像生成图像，则可以将此字段留空。",
-                    ),
-                    type=ToolParameter.ToolParameterType.STRING,
-                    form=ToolParameter.ToolParameterForm.LLM,
-                    llm_description="Image id of the original image, you can leave this field empty if you want to"
-                    " generate a new image.",
-                    required=True,
-                    options=[
-                        ToolParameterOption(value=i.name, label=I18nObject(en_US=i.name, zh_Hans=i.name))
-                        for i in self.list_default_image_variables()
-                    ],
-                )
-            )
-
-        if self.runtime.credentials:
-            try:
-                models = self.get_sd_models()
-                if len(models) != 0:
-                    parameters.append(
-                        ToolParameter(
-                            name="model",
-                            label=I18nObject(en_US="Model", zh_Hans="Model"),
-                            human_description=I18nObject(
-                                en_US="Model of Stable Diffusion, you can check the official documentation"
-                                " of Stable Diffusion",
-                                zh_Hans="Stable Diffusion 的模型，您可以查看 Stable Diffusion 的官方文档",
-                            ),
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            llm_description="Model of Stable Diffusion, you can check the official documentation"
-                            " of Stable Diffusion",
-                            required=True,
-                            default=models[0],
-                            options=[
-                                ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models
-                            ],
-                        )
-                    )
-
-            except:
-                pass
-
-            sample_methods = self.get_sample_methods()
-            if len(sample_methods) != 0:
-                parameters.append(
-                    ToolParameter(
-                        name="sampler_name",
-                        label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"),
-                        human_description=I18nObject(
-                            en_US="Sampling method of Stable Diffusion, you can check the official documentation"
-                            " of Stable Diffusion",
-                            zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档",
-                        ),
-                        type=ToolParameter.ToolParameterType.SELECT,
-                        form=ToolParameter.ToolParameterForm.FORM,
-                        llm_description="Sampling method of Stable Diffusion, you can check the official documentation"
-                        " of Stable Diffusion",
-                        required=True,
-                        default=sample_methods[0],
-                        options=[
-                            ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in sample_methods
-                        ],
-                    )
-                )
-        return parameters
diff --git a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml
deleted file mode 100644
index bbbdb16caf..0000000000
--- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml
+++ /dev/null
@@ -1,104 +0,0 @@
-identity:
-  name: stable_diffusion
-  author: Dify
-  label:
-    en_US: Stable Diffusion WebUI
-    zh_Hans: Stable Diffusion WebUI
-    pt_BR: Stable Diffusion WebUI
-description:
-  human:
-    en_US: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it.
-    zh_Hans: 一个可以在本地部署的图片生成的工具，您可以使用 stable-diffusion-webui 来部署它。
-    pt_BR: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it.
-  llm: draw the image you want based on your prompt.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of Stable Diffusion
-      zh_Hans: 图像提示词，您可以查看 Stable Diffusion 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of Stable Diffusion
-    llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English.
-    form: llm
-  - name: model
-    type: string
-    required: false
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-      pt_BR: Model Name
-    human_description:
-      en_US: Model Name
-      zh_Hans: 模型名称
-      pt_BR: Model Name
-    form: form
-  - name: lora
-    type: string
-    required: false
-    label:
-      en_US: Lora
-      zh_Hans: Lora
-      pt_BR: Lora
-    human_description:
-      en_US: Lora
-      zh_Hans: Lora
-      pt_BR: Lora
-    form: form
-    default: ""
-  - name: steps
-    type: number
-    required: false
-    label:
-      en_US: Steps
-      zh_Hans: Steps
-      pt_BR: Steps
-    human_description:
-      en_US: Steps
-      zh_Hans: Steps
-      pt_BR: Steps
-    form: form
-    default: 10
-  - name: width
-    type: number
-    required: false
-    label:
-      en_US: Width
-      zh_Hans: Width
-      pt_BR: Width
-    human_description:
-      en_US: Width
-      zh_Hans: Width
-      pt_BR: Width
-    form: form
-    default: 1024
-  - name: height
-    type: number
-    required: false
-    label:
-      en_US: Height
-      zh_Hans: Height
-      pt_BR: Height
-    human_description:
-      en_US: Height
-      zh_Hans: Height
-      pt_BR: Height
-    form: form
-    default: 1024
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-      pt_BR: Negative prompt
-    human_description:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-      pt_BR: Negative prompt
-    form: form
-    default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines
diff --git a/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg b/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg
deleted file mode 100644
index 7042bc0e41..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 120 120"><style>.st0{fill:#376db6}.st1{fill:#4ca2da}.st2{fill:#91d8f4}.st3{fill:#1e5397}</style><path class="st0" d="M22.4 57.5h74.8v15.4H22.4z"/><path class="st1" d="M22.4 37.6h74.8V53H22.4z"/><path class="st2" d="M85.5 17H34.4c-6.6 0-12 5.5-12 12.3v4h74.8v-4C97.2 22.5 92 17 85.5 17z"/><path class="st3" d="M22.4 77.3v4c0 6.8 5.4 12.3 12 12.3h32v16.3l15.8-16.3h3.5c6.6 0 12-5.5 12-12.3v-4H22.4z"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/stackexchange/stackexchange.py b/api/core/tools/provider/builtin/stackexchange/stackexchange.py
deleted file mode 100644
index 9680c633cc..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/stackexchange.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.stackexchange.tools.searchStackExQuestions import SearchStackExQuestionsTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class StackExchangeProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            SearchStackExQuestionsTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "intitle": "Test",
-                    "sort": "relevance",
-                    "order": "desc",
-                    "site": "stackoverflow",
-                    "accepted": True,
-                    "pagesize": 1,
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml b/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml
deleted file mode 100644
index d382a3cca9..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-identity:
-  author: Richards Tu
-  name: stackexchange
-  label:
-    en_US: Stack Exchange
-    zh_Hans: Stack Exchange
-  description:
-    en_US: Access questions and answers from the Stack Exchange and its sub-sites.
-    zh_Hans: 从 Stack Exchange 和其子论坛获取问题和答案。
-  icon: icon.svg
-  tags:
-    - search
-    - utilities
diff --git a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py b/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py
deleted file mode 100644
index 5345320095..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import Any, Union
-
-import requests
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class FetchAnsByStackExQuesIDInput(BaseModel):
-    id: int = Field(..., description="The question ID")
-    site: str = Field(..., description="The Stack Exchange site")
-    order: str = Field(..., description="asc or desc")
-    sort: str = Field(..., description="activity, votes, creation")
-    pagesize: int = Field(..., description="Number of answers per page")
-    page: int = Field(..., description="Page number")
-
-
-class FetchAnsByStackExQuesIDTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        input = FetchAnsByStackExQuesIDInput(**tool_parameters)
-
-        params = {
-            "site": input.site,
-            "filter": "!nNPvSNdWme",
-            "order": input.order,
-            "sort": input.sort,
-            "pagesize": input.pagesize,
-            "page": input.page,
-        }
-
-        response = requests.get(f"https://api.stackexchange.com/2.3/questions/{input.id}/answers", params=params)
-
-        if response.status_code == 200:
-            return self.create_text_message(self.summary(user_id=user_id, content=response.text))
-        else:
-            return self.create_text_message(f"API request failed with status code {response.status_code}")
diff --git a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml b/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml
deleted file mode 100644
index d663bce609..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml
+++ /dev/null
@@ -1,107 +0,0 @@
-identity:
-  name: fetchAnsByStackExQuesID
-  author: Richards Tu
-  label:
-    en_US: Fetch Stack Exchange Answers
-    zh_Hans: 获取 Stack Exchange 答案
-description:
-  human:
-    en_US: A tool for retrieving answers for a specific Stack Exchange question ID. Must be used with the searchStackExQuesID tool.
-    zh_Hans: 用于检索特定Stack Exchange问题ID的答案的工具。必须与searchStackExQuesID工具一起使用。
-  llm: A tool for retrieving answers for Stack Exchange question ID.
-parameters:
-  - name: id
-    type: string
-    required: true
-    label:
-      en_US: Question ID
-      zh_Hans: 问题ID
-    human_description:
-      en_US: The ID of the Stack Exchange question to fetch answers for.
-      zh_Hans: 要获取答案的Stack Exchange问题的ID。
-    llm_description: The ID of the Stack Exchange question.
-    form: llm
-  - name: site
-    type: string
-    required: true
-    label:
-      en_US: Stack Exchange site
-      zh_Hans: Stack Exchange站点
-    human_description:
-      en_US: The Stack Exchange site the question is from, e.g. stackoverflow, unix, etc.
-      zh_Hans: 问题所在的Stack Exchange站点，例如stackoverflow、unix等。
-    llm_description: Stack Exchange site identifier - 'stackoverflow', 'serverfault', 'superuser', 'askubuntu', 'unix', 'cs', 'softwareengineering', 'codegolf', 'codereview', 'cstheory', 'security', 'cryptography', 'reverseengineering', 'datascience', 'devops', 'ux', 'dba', 'gis', 'webmasters', 'arduino', 'raspberrypi', 'networkengineering', 'iot', 'tor', 'sqa', 'mathoverflow', 'math', 'mathematica', 'dsp', 'gamedev', 'robotics', 'genai', 'computergraphics'.
-    form: llm
-  - name: filter
-    type: string
-    required: true
-    label:
-      en_US: Filter
-      zh_Hans: 过滤器
-    human_description:
-      en_US: This is required in order to actually get the body of the answer.
-      zh_Hans: 为了实际获取答案的正文是必需的。
-    options:
-      - value: "!nNPvSNdWme"
-        label:
-          en_US: Must Select
-          zh_Hans: 必须选择
-    form: form
-    default: "!nNPvSNdWme"
-  - name: order
-    type: string
-    required: true
-    label:
-      en_US: Sort direction
-      zh_Hans: 排序方向
-    human_description:
-      en_US: The direction to sort the answers - ascending or descending.
-      zh_Hans: 答案的排序方向 - 升序或降序。
-    form: form
-    options:
-      - value: asc
-        label:
-          en_US: Ascending
-          zh_Hans: 升序
-      - value: desc
-        label:
-          en_US: Descending
-          zh_Hans: 降序
-    default: desc
-  - name: sort
-    type: string
-    required: true
-    label:
-      en_US: Sort order
-      zh_Hans: 排序
-    human_description:
-      en_US: The sort order for the answers - activity, votes, or creation date.
-      zh_Hans: 答案的排序顺序 - 活动、投票或创建日期。
-    llm_description: activity, votes, or creation.
-    form: llm
-  - name: pagesize
-    type: number
-    required: true
-    label:
-      en_US: Results per page
-      zh_Hans: 每页结果数
-    human_description:
-      en_US: The number of answers to return per page.
-      zh_Hans: 每页返回的答案数。
-    form: form
-    min: 1
-    max: 5
-    default: 1
-  - name: page
-    type: number
-    required: true
-    label:
-      en_US: Page number
-      zh_Hans: 页码
-    human_description:
-      en_US: The page number of answers to retrieve.
-      zh_Hans: 要检索的答案的页码。
-    form: form
-    min: 1
-    max: 5
-    default: 3
diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py
deleted file mode 100644
index 4a25a808ad..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Any, Union
-
-import requests
-from pydantic import BaseModel, Field
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SearchStackExQuestionsInput(BaseModel):
-    intitle: str = Field(..., description="The search query.")
-    sort: str = Field(..., description="The sort order - relevance, activity, votes, creation.")
-    order: str = Field(..., description="asc or desc")
-    site: str = Field(..., description="The Stack Exchange site.")
-    tagged: str = Field(None, description="Semicolon-separated tags to include.")
-    nottagged: str = Field(None, description="Semicolon-separated tags to exclude.")
-    accepted: bool = Field(..., description="true for only accepted answers, false otherwise")
-    pagesize: int = Field(..., description="Number of results per page")
-
-
-class SearchStackExQuestionsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        input = SearchStackExQuestionsInput(**tool_parameters)
-
-        params = {
-            "intitle": input.intitle,
-            "sort": input.sort,
-            "order": input.order,
-            "site": input.site,
-            "accepted": input.accepted,
-            "pagesize": input.pagesize,
-        }
-        if input.tagged:
-            params["tagged"] = input.tagged
-        if input.nottagged:
-            params["nottagged"] = input.nottagged
-
-        response = requests.get("https://api.stackexchange.com/2.3/search", params=params)
-
-        if response.status_code == 200:
-            return self.create_text_message(self.summary(user_id=user_id, content=response.text))
-        else:
-            return self.create_text_message(f"API request failed with status code {response.status_code}")
diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml
deleted file mode 100644
index bbfbae38b0..0000000000
--- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml
+++ /dev/null
@@ -1,121 +0,0 @@
-identity:
-  name: searchStackExQuestions
-  author: Richards Tu
-  label:
-    en_US: Search Stack Exchange Questions
-    zh_Hans: 搜索Stack Exchange问题
-description:
-  human:
-    en_US: A tool for searching questions on a Stack Exchange site.
-    zh_Hans: 在Stack Exchange站点上搜索问题的工具。
-  llm: A tool for searching questions on Stack Exchange site.
-parameters:
-  - name: intitle
-    type: string
-    required: true
-    label:
-      en_US: Search query
-      zh_Hans: 搜索查询
-    human_description:
-      en_US: The search query to use for finding questions.
-      zh_Hans: 用于查找问题的搜索查询。
-    llm_description: The search query.
-    form: llm
-  - name: sort
-    type: string
-    required: true
-    label:
-      en_US: Sort order
-      zh_Hans: 排序
-    human_description:
-      en_US: The sort order for the search results - relevance, activity, votes, or creation date.
-      zh_Hans: 搜索结果的排序顺序 - 相关性、活动、投票或创建日期。
-    llm_description: The sort order - 'relevance', 'activity', 'votes', or 'creation'.
-    form: llm
-  - name: order
-    type: select
-    required: true
-    label:
-      en_US: Sort direction
-      zh_Hans: 排序方向
-    human_description:
-      en_US: The direction to sort - ascending or descending.
-      zh_Hans: 排序方向 - 升序或降序。
-    form: form
-    options:
-      - value: asc
-        label:
-          en_US: Ascending
-          zh_Hans: 升序
-      - value: desc
-        label:
-          en_US: Descending
-          zh_Hans: 降序
-    default: desc
-  - name: site
-    type: string
-    required: true
-    label:
-      en_US: Stack Exchange site
-      zh_Hans: Stack Exchange 站点
-    human_description:
-      en_US: The Stack Exchange site to search, e.g. stackoverflow, unix, etc.
-      zh_Hans: 要搜索的Stack Exchange站点，例如stackoverflow、unix等。
-    llm_description: Stack Exchange site identifier - 'stackoverflow', 'serverfault', 'superuser', 'askubuntu', 'unix', 'cs', 'softwareengineering', 'codegolf', 'codereview', 'cstheory', 'security', 'cryptography', 'reverseengineering', 'datascience', 'devops', 'ux', 'dba', 'gis', 'webmasters', 'arduino', 'raspberrypi', 'networkengineering', 'iot', 'tor', 'sqa', 'mathoverflow', 'math', 'mathematica', 'dsp', 'gamedev', 'robotics', 'genai', 'computergraphics'.
-    form: llm
-  - name: tagged
-    type: string
-    required: false
-    label:
-      en_US: Include tags
-      zh_Hans: 包含标签
-    human_description:
-      en_US: A semicolon-separated list of tags that questions must have.
-      zh_Hans: 问题必须具有的标签的分号分隔列表。
-    llm_description: Semicolon-separated tags to include. Leave blank if not needed.
-    form: llm
-  - name: nottagged
-    type: string
-    required: false
-    label:
-      en_US: Exclude tags
-      zh_Hans: 排除标签
-    human_description:
-      en_US: A semicolon-separated list of tags to exclude from the search.
-      zh_Hans: 从搜索中排除的标签的分号分隔列表。
-    llm_description: Semicolon-separated tags to exclude. Leave blank if not needed.
-    form: llm
-  - name: accepted
-    type: boolean
-    required: true
-    label:
-      en_US: Has accepted answer
-      zh_Hans: 有已接受的答案
-    human_description:
-      en_US: Whether to limit to only questions that have an accepted answer.
-      zh_Hans: 是否限制为只有已接受答案的问题。
-    form: form
-    options:
-      - value: 'true'
-        label:
-          en_US: 'Yes'
-          zh_Hans: 是
-      - value: 'false'
-        label:
-          en_US: 'No'
-          zh_Hans: 否
-    default: 'true'
-  - name: pagesize
-    type: number
-    required: true
-    label:
-      en_US: Results per page
-      zh_Hans: 每页结果数
-    human_description:
-      en_US: The number of results to return per page.
-      zh_Hans: 每页返回的结果数。
-    llm_description: The number of results per page.
-    form: form
-    min: 1
-    max: 50
-    default: 10
diff --git a/api/core/tools/provider/builtin/stepfun/__init__.py b/api/core/tools/provider/builtin/stepfun/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/core/tools/provider/builtin/stepfun/_assets/icon.png b/api/core/tools/provider/builtin/stepfun/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/stepfun/stepfun.py b/api/core/tools/provider/builtin/stepfun/stepfun.py
deleted file mode 100644
index 239db85b11..0000000000
--- a/api/core/tools/provider/builtin/stepfun/stepfun.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.stepfun.tools.image import StepfunTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class StepfunProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            StepfunTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "prompt": "cute girl, blue eyes, white hair, anime style",
-                    "size": "256x256",
-                    "n": 1,
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/stepfun/stepfun.yaml b/api/core/tools/provider/builtin/stepfun/stepfun.yaml
deleted file mode 100644
index e8139a4d7d..0000000000
--- a/api/core/tools/provider/builtin/stepfun/stepfun.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-identity:
-  author: Stepfun
-  name: stepfun
-  label:
-    en_US: Image-1X
-    zh_Hans: 阶跃星辰绘画
-  description:
-    en_US: Image-1X
-    zh_Hans: 阶跃星辰绘画
-  icon: icon.png
-  tags:
-    - image
-    - productivity
-credentials_for_provider:
-  stepfun_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Stepfun API key
-      zh_Hans: 阶跃星辰API key
-    placeholder:
-      en_US: Please input your Stepfun API key
-      zh_Hans: 请输入你的阶跃星辰 API key
-    url: https://platform.stepfun.com/interface-key
-  stepfun_base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: Stepfun base URL
-      zh_Hans: 阶跃星辰 base URL
-    placeholder:
-      en_US: Please input your Stepfun base URL
-      zh_Hans: 请输入你的阶跃星辰 base URL
diff --git a/api/core/tools/provider/builtin/stepfun/tools/image.py b/api/core/tools/provider/builtin/stepfun/tools/image.py
deleted file mode 100644
index 61cc14fac6..0000000000
--- a/api/core/tools/provider/builtin/stepfun/tools/image.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Any, Union
-
-from openai import OpenAI
-from yarl import URL
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class StepfunTool(BuiltinTool):
-    """Stepfun Image Generation Tool"""
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        base_url = self.runtime.credentials.get("stepfun_base_url") or "https://api.stepfun.com"
-        base_url = str(URL(base_url) / "v1")
-
-        client = OpenAI(
-            api_key=self.runtime.credentials["stepfun_api_key"],
-            base_url=base_url,
-        )
-
-        extra_body = {}
-        model = "step-1x-medium"
-        # prompt
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-        if len(prompt) > 1024:
-            return self.create_text_message("The prompt length should less than 1024")
-        seed = tool_parameters.get("seed", 0)
-        if seed > 0:
-            extra_body["seed"] = seed
-        steps = tool_parameters.get("steps", 50)
-        if steps > 0:
-            extra_body["steps"] = steps
-        cfg_scale = tool_parameters.get("cfg_scale", 7.5)
-        if cfg_scale > 0:
-            extra_body["cfg_scale"] = cfg_scale
-
-        # call openapi stepfun model
-        response = client.images.generate(
-            prompt=prompt,
-            model=model,
-            size=tool_parameters.get("size", "1024x1024"),
-            n=tool_parameters.get("n", 1),
-            extra_body=extra_body,
-        )
-
-        result = []
-        for image in response.data:
-            result.append(self.create_image_message(image=image.url))
-            result.append(
-                self.create_json_message(
-                    {
-                        "url": image.url,
-                    }
-                )
-            )
-        return result
diff --git a/api/core/tools/provider/builtin/stepfun/tools/image.yaml b/api/core/tools/provider/builtin/stepfun/tools/image.yaml
deleted file mode 100644
index dfda6ed191..0000000000
--- a/api/core/tools/provider/builtin/stepfun/tools/image.yaml
+++ /dev/null
@@ -1,133 +0,0 @@
-identity:
-  name: stepfun
-  author: Stepfun
-  label:
-    en_US: step-1x
-    zh_Hans: 阶跃星辰绘画
-    pt_BR: step-1x
-  description:
-    en_US: step-1x is a powerful drawing tool by stepfun, you can draw the image based on your prompt
-    zh_Hans: step-1x 系列是阶跃星辰提供的强大的绘画工具，它可以根据您的提示词绘制出您想要的图像。
-    pt_BR: step-1x is a powerful drawing tool by stepfun, you can draw the image based on your prompt
-description:
-  human:
-    en_US: step-1x is a text to image tool
-    zh_Hans: step-1x 是一个文本/图像到图像的工具
-    pt_BR: step-1x is a text to image tool
-  llm: step-1x is a tool used to generate images from text or image
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: Image prompt, you can check the official documentation of step-1x
-      zh_Hans: 图像提示词，您可以查看 step-1x 的官方文档
-      pt_BR: Image prompt, you can check the official documentation of step-1x
-    llm_description: Image prompt of step-1x you should describe the image you want to generate as a list of words as possible as detailed
-    form: llm
-  - name: size
-    type: select
-    required: false
-    human_description:
-      en_US: The size of the generated image
-      zh_Hans: 生成的图片大小
-      pt_BR: The size of the generated image
-    label:
-      en_US: Image size
-      zh_Hans: 图像大小
-      pt_BR: Image size
-    form: form
-    options:
-      - value: 256x256
-        label:
-          en_US: 256x256
-          zh_Hans: 256x256
-          pt_BR: 256x256
-      - value: 512x512
-        label:
-          en_US: 512x512
-          zh_Hans: 512x512
-          pt_BR: 512x512
-      - value: 768x768
-        label:
-          en_US: 768x768
-          zh_Hans: 768x768
-          pt_BR: 768x768
-      - value: 1024x1024
-        label:
-          en_US: 1024x1024
-          zh_Hans: 1024x1024
-          pt_BR: 1024x1024
-      - value: 1280x800
-        label:
-          en_US: 1280x800
-          zh_Hans: 1280x800
-          pt_BR: 1280x800
-      - value: 800x1280
-        label:
-          en_US: 800x1280
-          zh_Hans: 800x1280
-          pt_BR: 800x1280
-    default: 1024x1024
-  - name: n
-    type: number
-    required: true
-    human_description:
-      en_US: Number of generated images, now only one image can be generated at a time
-      zh_Hans: 生成的图像数量，当前仅支持每次生成一张图片
-      pt_BR: Number of generated images, now only one image can be generated at a time
-    label:
-      en_US: Number of generated images
-      zh_Hans: 生成的图像数量
-      pt_BR: Number of generated images
-    form: form
-    default: 1
-    min: 1
-    max: 1
-  - name: seed
-    type: number
-    required: false
-    label:
-      en_US: seed
-      zh_Hans: seed
-      pt_BR: seed
-    human_description:
-      en_US: seed
-      zh_Hans: seed
-      pt_BR: seed
-    form: form
-    default: 10
-  - name: steps
-    type: number
-    required: false
-    label:
-      en_US: Steps
-      zh_Hans: Steps
-      pt_BR: Steps
-    human_description:
-      en_US: Steps, now support integers between 1 and 100
-      zh_Hans: Steps, 当前支持 1～100 之间整数
-      pt_BR: Steps, now support integers between 1 and 100
-    form: form
-    default: 50
-    min: 1
-    max: 100
-  - name: cfg_scale
-    type: number
-    required: false
-    label:
-      en_US: classifier-free guidance scale
-      zh_Hans: classifier-free guidance scale
-      pt_BR: classifier-free guidance scale
-    human_description:
-      en_US: classifier-free guidance scale
-      zh_Hans: classifier-free guidance scale
-      pt_BR: classifier-free guidance scale
-    form: form
-    default: 7.5
-    min: 1
-    max: 10
diff --git a/api/core/tools/provider/builtin/tavily/_assets/icon.png b/api/core/tools/provider/builtin/tavily/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/tavily/tavily.py b/api/core/tools/provider/builtin/tavily/tavily.py
deleted file mode 100644
index a702b0a74e..0000000000
--- a/api/core/tools/provider/builtin/tavily/tavily.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.tavily.tools.tavily_search import TavilySearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class TavilyProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            TavilySearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "Sachin Tendulkar",
-                    "search_depth": "basic",
-                    "include_answer": True,
-                    "include_images": False,
-                    "include_raw_content": False,
-                    "max_results": 5,
-                    "include_domains": "",
-                    "exclude_domains": "",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/tavily/tavily.yaml b/api/core/tools/provider/builtin/tavily/tavily.yaml
deleted file mode 100644
index aba621b094..0000000000
--- a/api/core/tools/provider/builtin/tavily/tavily.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-identity:
-  author: Yash Parmar, Kalo Chin
-  name: tavily
-  label:
-    en_US: Tavily Search & Extract
-    zh_Hans: Tavily 搜索和提取
-  description:
-    en_US: A powerful AI-native search engine and web content extraction tool that provides highly relevant search results and raw content extraction from web pages.
-    zh_Hans: 一个强大的原生AI搜索引擎和网页内容提取工具，提供高度相关的搜索结果和网页原始内容提取。
-  icon: icon.png
-  tags:
-    - search
-credentials_for_provider:
-  tavily_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Tavily API key
-      zh_Hans: Tavily API key
-    placeholder:
-      en_US: Please input your Tavily API key
-      zh_Hans: 请输入你的 Tavily API key
-    help:
-      en_US: Get your Tavily API key from Tavily
-      zh_Hans: 从 TavilyApi 获取您的 Tavily API key
-    url: https://app.tavily.com/home
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py b/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py
deleted file mode 100644
index a37548018d..0000000000
--- a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py
+++ /dev/null
@@ -1,145 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-TAVILY_API_URL = "https://api.tavily.com"
-
-
-class TavilyExtract:
-    """
-    A class for extracting content from web pages using the Tavily Extract API.
-
-    Args:
-        api_key (str): The API key for accessing the Tavily Extract API.
-
-    Methods:
-        extract_content: Retrieves extracted content from the Tavily Extract API.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        self.api_key = api_key
-
-    def extract_content(self, params: dict[str, Any]) -> dict:
-        """
-        Retrieves extracted content from the Tavily Extract API.
-
-        Args:
-            params (Dict[str, Any]): The extraction parameters.
-
-        Returns:
-            dict: The extracted content.
-
-        """
-        # Ensure required parameters are set
-        if "api_key" not in params:
-            params["api_key"] = self.api_key
-
-        # Process parameters
-        processed_params = self._process_params(params)
-
-        response = requests.post(f"{TAVILY_API_URL}/extract", json=processed_params)
-        response.raise_for_status()
-        return response.json()
-
-    def _process_params(self, params: dict[str, Any]) -> dict:
-        """
-        Processes and validates the extraction parameters.
-
-        Args:
-            params (Dict[str, Any]): The extraction parameters.
-
-        Returns:
-            dict: The processed parameters.
-        """
-        processed_params = {}
-
-        # Process 'urls'
-        if "urls" in params:
-            urls = params["urls"]
-            if isinstance(urls, str):
-                processed_params["urls"] = [url.strip() for url in urls.replace(",", " ").split()]
-            elif isinstance(urls, list):
-                processed_params["urls"] = urls
-        else:
-            raise ValueError("The 'urls' parameter is required.")
-
-        # Only include 'api_key'
-        processed_params["api_key"] = params.get("api_key", self.api_key)
-
-        return processed_params
-
-
-class TavilyExtractTool(BuiltinTool):
-    """
-    A tool for extracting content from web pages using Tavily Extract.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invokes the Tavily Extract tool with the given user ID and tool parameters.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (Dict[str, Any]): The parameters for the Tavily Extract tool.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the Tavily Extract tool invocation.
-        """
-        urls = tool_parameters.get("urls", "")
-        api_key = self.runtime.credentials.get("tavily_api_key")
-        if not api_key:
-            return self.create_text_message(
-                "Tavily API key is missing. Please set the 'tavily_api_key' in credentials."
-            )
-        if not urls:
-            return self.create_text_message("Please input at least one URL to extract.")
-
-        tavily_extract = TavilyExtract(api_key)
-        try:
-            raw_results = tavily_extract.extract_content(tool_parameters)
-        except requests.HTTPError as e:
-            return self.create_text_message(f"Error occurred while extracting content: {str(e)}")
-
-        if not raw_results.get("results"):
-            return self.create_text_message("No content could be extracted from the provided URLs.")
-        else:
-            # Always return JSON message with all data
-            json_message = self.create_json_message(raw_results)
-
-            # Create text message based on user-selected parameters
-            text_message_content = self._format_results_as_text(raw_results)
-            text_message = self.create_text_message(text=text_message_content)
-
-            return [json_message, text_message]
-
-    def _format_results_as_text(self, raw_results: dict) -> str:
-        """
-        Formats the raw extraction results into a markdown text based on user-selected parameters.
-
-        Args:
-            raw_results (dict): The raw extraction results.
-
-        Returns:
-            str: The formatted markdown text.
-        """
-        output_lines = []
-
-        for idx, result in enumerate(raw_results.get("results", []), 1):
-            url = result.get("url", "")
-            raw_content = result.get("raw_content", "")
-
-            output_lines.append(f"## Extracted Content {idx}: {url}\n")
-            output_lines.append(f"**Raw Content:**\n{raw_content}\n")
-            output_lines.append("---\n")
-
-        if raw_results.get("failed_results"):
-            output_lines.append("## Failed URLs:\n")
-            for failed in raw_results["failed_results"]:
-                url = failed.get("url", "")
-                error = failed.get("error", "Unknown error")
-                output_lines.append(f"- {url}: {error}\n")
-
-        return "\n".join(output_lines)
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml
deleted file mode 100644
index a04da73b54..0000000000
--- a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-identity:
-  name: tavily_extract
-  author: Kalo Chin
-  label:
-    en_US: Tavily Extract
-    zh_Hans: Tavily Extract
-description:
-  human:
-    en_US: A web extraction tool built specifically for AI agents (LLMs), delivering raw content from web pages.
-    zh_Hans: 专为人工智能代理 (LLM) 构建的网页提取工具，提供网页的原始内容。
-  llm: A tool for extracting raw content from web pages, designed for AI agents (LLMs).
-parameters:
-  - name: urls
-    type: string
-    required: true
-    label:
-      en_US: URLs
-      zh_Hans: URLs
-    human_description:
-      en_US: A comma-separated list of URLs to extract content from.
-      zh_Hans: 要从中提取内容的 URL 的逗号分隔列表。
-    llm_description: A comma-separated list of URLs to extract content from.
-    form: llm
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.py b/api/core/tools/provider/builtin/tavily/tools/tavily_search.py
deleted file mode 100644
index ea41ea3ca3..0000000000
--- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.py
+++ /dev/null
@@ -1,195 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-TAVILY_API_URL = "https://api.tavily.com"
-
-
-class TavilySearch:
-    """
-    A class for performing search operations using the Tavily Search API.
-
-    Args:
-        api_key (str): The API key for accessing the Tavily Search API.
-
-    Methods:
-        raw_results: Retrieves raw search results from the Tavily Search API.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        self.api_key = api_key
-
-    def raw_results(self, params: dict[str, Any]) -> dict:
-        """
-        Retrieves raw search results from the Tavily Search API.
-
-        Args:
-            params (Dict[str, Any]): The search parameters.
-
-        Returns:
-            dict: The raw search results.
-
-        """
-        # Ensure required parameters are set
-        params["api_key"] = self.api_key
-
-        # Process parameters to ensure correct types
-        processed_params = self._process_params(params)
-
-        response = requests.post(f"{TAVILY_API_URL}/search", json=processed_params)
-        response.raise_for_status()
-        return response.json()
-
-    def _process_params(self, params: dict[str, Any]) -> dict:
-        """
-        Processes and validates the search parameters.
-
-        Args:
-            params (Dict[str, Any]): The search parameters.
-
-        Returns:
-            dict: The processed parameters.
-        """
-        processed_params = {}
-
-        for key, value in params.items():
-            if value is None or value == "None":
-                continue
-            if key in ["include_domains", "exclude_domains"]:
-                if isinstance(value, str):
-                    # Split the string by commas or spaces and strip whitespace
-                    processed_params[key] = [domain.strip() for domain in value.replace(",", " ").split()]
-            elif key in ["include_images", "include_image_descriptions", "include_answer", "include_raw_content"]:
-                # Ensure boolean type
-                if isinstance(value, str):
-                    processed_params[key] = value.lower() == "true"
-                else:
-                    processed_params[key] = bool(value)
-            elif key in ["max_results", "days"]:
-                if isinstance(value, str):
-                    processed_params[key] = int(value)
-                else:
-                    processed_params[key] = value
-            elif key in ["search_depth", "topic", "query", "api_key"]:
-                processed_params[key] = value
-            else:
-                # Unrecognized parameter
-                pass
-
-        # Set defaults if not present
-        processed_params.setdefault("search_depth", "basic")
-        processed_params.setdefault("topic", "general")
-        processed_params.setdefault("max_results", 5)
-
-        # If topic is 'news', ensure 'days' is set
-        if processed_params.get("topic") == "news":
-            processed_params.setdefault("days", 3)
-
-        return processed_params
-
-
-class TavilySearchTool(BuiltinTool):
-    """
-    A tool for searching Tavily using a given query.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
-        """
-        Invokes the Tavily search tool with the given user ID and tool parameters.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (Dict[str, Any]): The parameters for the Tavily search tool.
-
-        Returns:
-            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the Tavily search tool invocation.
-        """
-        query = tool_parameters.get("query", "")
-        api_key = self.runtime.credentials.get("tavily_api_key")
-        if not api_key:
-            return self.create_text_message(
-                "Tavily API key is missing. Please set the 'tavily_api_key' in credentials."
-            )
-        if not query:
-            return self.create_text_message("Please input a query.")
-
-        tavily_search = TavilySearch(api_key)
-        try:
-            raw_results = tavily_search.raw_results(tool_parameters)
-        except requests.HTTPError as e:
-            return self.create_text_message(f"Error occurred while searching: {str(e)}")
-
-        if not raw_results.get("results"):
-            return self.create_text_message(f"No results found for '{query}' in Tavily.")
-        else:
-            # Always return JSON message with all data
-            json_message = self.create_json_message(raw_results)
-
-            # Create text message based on user-selected parameters
-            text_message_content = self._format_results_as_text(raw_results, tool_parameters)
-            text_message = self.create_text_message(text=text_message_content)
-
-            return [json_message, text_message]
-
-    def _format_results_as_text(self, raw_results: dict, tool_parameters: dict[str, Any]) -> str:
-        """
-        Formats the raw results into a markdown text based on user-selected parameters.
-
-        Args:
-            raw_results (dict): The raw search results.
-            tool_parameters (dict): The tool parameters selected by the user.
-
-        Returns:
-            str: The formatted markdown text.
-        """
-        output_lines = []
-
-        # Include answer if requested
-        if tool_parameters.get("include_answer", False) and raw_results.get("answer"):
-            output_lines.append(f"**Answer:** {raw_results['answer']}\n")
-
-        # Include images if requested
-        if tool_parameters.get("include_images", False) and raw_results.get("images"):
-            output_lines.append("**Images:**\n")
-            for image in raw_results["images"]:
-                if tool_parameters.get("include_image_descriptions", False) and "description" in image:
-                    output_lines.append(f"![{image['description']}]({image['url']})\n")
-                else:
-                    output_lines.append(f"![]({image['url']})\n")
-
-        # Process each result
-        if "results" in raw_results:
-            for idx, result in enumerate(raw_results["results"], 1):
-                title = result.get("title", "No Title")
-                url = result.get("url", "")
-                content = result.get("content", "")
-                published_date = result.get("published_date", "")
-                score = result.get("score", "")
-
-                output_lines.append(f"### Result {idx}: [{title}]({url})\n")
-
-                # Include published date if available and topic is 'news'
-                if tool_parameters.get("topic") == "news" and published_date:
-                    output_lines.append(f"**Published Date:** {published_date}\n")
-
-                output_lines.append(f"**URL:** {url}\n")
-
-                # Include score (relevance)
-                if score:
-                    output_lines.append(f"**Relevance Score:** {score}\n")
-
-                # Include content
-                if content:
-                    output_lines.append(f"**Content:**\n{content}\n")
-
-                # Include raw content if requested
-                if tool_parameters.get("include_raw_content", False) and result.get("raw_content"):
-                    output_lines.append(f"**Raw Content:**\n{result['raw_content']}\n")
-
-                # Add a separator
-                output_lines.append("---\n")
-
-        return "\n".join(output_lines)
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml
deleted file mode 100644
index 14b2829701..0000000000
--- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml
+++ /dev/null
@@ -1,152 +0,0 @@
-identity:
-  name: tavily_search
-  author: Yash Parmar
-  label:
-    en_US: Tavily Search
-    zh_Hans: Tavily Search
-description:
-  human:
-    en_US: A search engine tool built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
-    zh_Hans: 专为人工智能代理 (LLM) 构建的搜索引擎工具，可快速提供实时、准确和真实的结果。
-  llm: A tool for search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 查询
-    human_description:
-      en_US: The search query you want to execute with Tavily.
-      zh_Hans: 您想用 Tavily 执行的搜索查询。
-    llm_description: The search query.
-    form: llm
-  - name: search_depth
-    type: select
-    required: false
-    label:
-      en_US: Search Depth
-      zh_Hans: 搜索深度
-    human_description:
-      en_US: The depth of the search.
-      zh_Hans: 搜索的深度。
-    form: form
-    options:
-      - value: basic
-        label:
-          en_US: Basic
-          zh_Hans: 基本
-      - value: advanced
-        label:
-          en_US: Advanced
-          zh_Hans: 高级
-    default: basic
-  - name: topic
-    type: select
-    required: false
-    label:
-      en_US: Topic
-      zh_Hans: 主题
-    human_description:
-      en_US: The category of the search.
-      zh_Hans: 搜索的类别。
-    form: form
-    options:
-      - value: general
-        label:
-          en_US: General
-          zh_Hans: 一般
-      - value: news
-        label:
-          en_US: News
-          zh_Hans: 新闻
-    default: general
-  - name: days
-    type: number
-    required: false
-    label:
-      en_US: Days
-      zh_Hans: 天数
-    human_description:
-      en_US: The number of days back from the current date to include in the search results (only applicable when "topic" is "news").
-      zh_Hans: 从当前日期起向前追溯的天数，以包含在搜索结果中（仅当“topic”为“news”时适用）。
-    form: form
-    min: 1
-    default: 3
-  - name: max_results
-    type: number
-    required: false
-    label:
-      en_US: Max Results
-      zh_Hans: 最大结果数
-    human_description:
-      en_US: The maximum number of search results to return.
-      zh_Hans: 要返回的最大搜索结果数。
-    form: form
-    min: 1
-    max: 20
-    default: 5
-  - name: include_images
-    type: boolean
-    required: false
-    label:
-      en_US: Include Images
-      zh_Hans: 包含图片
-    human_description:
-      en_US: Include a list of query-related images in the response.
-      zh_Hans: 在响应中包含与查询相关的图片列表。
-    form: form
-    default: false
-  - name: include_image_descriptions
-    type: boolean
-    required: false
-    label:
-      en_US: Include Image Descriptions
-      zh_Hans: 包含图片描述
-    human_description:
-      en_US: When include_images is True, adds descriptive text for each image.
-      zh_Hans: 当 include_images 为 True 时，为每个图像添加描述文本。
-    form: form
-    default: false
-  - name: include_answer
-    type: boolean
-    required: false
-    label:
-      en_US: Include Answer
-      zh_Hans: 包含答案
-    human_description:
-      en_US: Include a short answer to the original query in the response.
-      zh_Hans: 在响应中包含对原始查询的简短回答。
-    form: form
-    default: false
-  - name: include_raw_content
-    type: boolean
-    required: false
-    label:
-      en_US: Include Raw Content
-      zh_Hans: 包含原始内容
-    human_description:
-      en_US: Include the cleaned and parsed HTML content of each search result.
-      zh_Hans: 包含每个搜索结果的已清理和解析的HTML内容。
-    form: form
-    default: false
-  - name: include_domains
-    type: string
-    required: false
-    label:
-      en_US: Include Domains
-      zh_Hans: 包含域
-    human_description:
-      en_US: A comma-separated list of domains to specifically include in the search results.
-      zh_Hans: 要在搜索结果中特别包含的域的逗号分隔列表。
-    form: form
-  - name: exclude_domains
-    type: string
-    required: false
-    label:
-      en_US: Exclude Domains
-      zh_Hans: 排除域
-    human_description:
-      en_US: A comma-separated list of domains to specifically exclude from the search results.
-      zh_Hans: 要从搜索结果中特别排除的域的逗号分隔列表。
-    form: form
diff --git a/api/core/tools/provider/builtin/tianditu/_assets/icon.svg b/api/core/tools/provider/builtin/tianditu/_assets/icon.svg
deleted file mode 100644
index 749d4bda26..0000000000
--- a/api/core/tools/provider/builtin/tianditu/_assets/icon.svg
+++ /dev/null
@@ -1,21 +0,0 @@
-<svg t="1625725643558" class="icon" viewBox="0 0 1910 1910" version="1.1"
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-    xmlns:xlink="http://www.w3.org/1999/xlink" width="380" height="380">
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diff --git a/api/core/tools/provider/builtin/tianditu/tianditu.py b/api/core/tools/provider/builtin/tianditu/tianditu.py
deleted file mode 100644
index cb7d7bd8bb..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tianditu.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.tianditu.tools.poisearch import PoiSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class TiandituProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            PoiSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "content": "北京",
-                    "specify": "156110000",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/tianditu/tianditu.yaml b/api/core/tools/provider/builtin/tianditu/tianditu.yaml
deleted file mode 100644
index 77af834bdc..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tianditu.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  author: Listeng
-  name: tianditu
-  label:
-    en_US: Tianditu
-    zh_Hans: 天地图
-    pt_BR: Tianditu
-  description:
-    en_US: The Tianditu tool provided the functions of place name search, geocoding, static maps generation, etc. in China region.
-    zh_Hans: 天地图工具可以调用天地图的接口，实现中国区域内的地名搜索、地理编码、静态地图等功能。
-    pt_BR: The Tianditu tool provided the functions of place name search, geocoding, static maps generation, etc. in China region.
-  icon: icon.svg
-  tags:
-    - utilities
-    - travel
-credentials_for_provider:
-  tianditu_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Tianditu API Key
-      zh_Hans: 天地图Key
-      pt_BR: Tianditu API key
-    placeholder:
-      en_US: Please input your Tianditu API key
-      zh_Hans: 请输入你的天地图Key
-      pt_BR: Please input your Tianditu API key
-    help:
-      en_US: Get your Tianditu API key from Tianditu
-      zh_Hans: 获取您的天地图Key
-      pt_BR: Get your Tianditu API key from Tianditu
-    url: http://lbs.tianditu.gov.cn/home.html
diff --git a/api/core/tools/provider/builtin/tianditu/tools/geocoder.py b/api/core/tools/provider/builtin/tianditu/tools/geocoder.py
deleted file mode 100644
index 690a0aed6f..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/geocoder.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GeocoderTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        base_url = "http://api.tianditu.gov.cn/geocoder"
-
-        keyword = tool_parameters.get("keyword", "")
-        if not keyword:
-            return self.create_text_message("Invalid parameter keyword")
-
-        tk = self.runtime.credentials["tianditu_api_key"]
-
-        params = {
-            "keyWord": keyword,
-        }
-
-        result = requests.get(base_url + "?ds=" + json.dumps(params, ensure_ascii=False) + "&tk=" + tk).json()
-
-        return self.create_json_message(result)
diff --git a/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml b/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml
deleted file mode 100644
index d6a168f950..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-identity:
-  name: geocoder
-  author: Listeng
-  label:
-    en_US: Get coords converted from address name
-    zh_Hans: 地理编码
-    pt_BR: Get coords converted from address name
-description:
-  human:
-    en_US: Geocoder
-    zh_Hans: 中国区域地理编码查询
-    pt_BR: Geocoder
-  llm: A tool for geocoder in China
-parameters:
-  - name: keyword
-    type: string
-    required: true
-    label:
-      en_US: keyword
-      zh_Hans: 搜索的关键字
-      pt_BR: keyword
-    human_description:
-      en_US: keyword
-      zh_Hans: 搜索的关键字
-      pt_BR: keyword
-    form: llm
diff --git a/api/core/tools/provider/builtin/tianditu/tools/poisearch.py b/api/core/tools/provider/builtin/tianditu/tools/poisearch.py
deleted file mode 100644
index 798dd94d33..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/poisearch.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class PoiSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        geocoder_base_url = "http://api.tianditu.gov.cn/geocoder"
-        base_url = "http://api.tianditu.gov.cn/v2/search"
-
-        keyword = tool_parameters.get("keyword", "")
-        if not keyword:
-            return self.create_text_message("Invalid parameter keyword")
-
-        baseAddress = tool_parameters.get("baseAddress", "")
-        if not baseAddress:
-            return self.create_text_message("Invalid parameter baseAddress")
-
-        tk = self.runtime.credentials["tianditu_api_key"]
-
-        base_coords = requests.get(
-            geocoder_base_url
-            + "?ds="
-            + json.dumps(
-                {
-                    "keyWord": baseAddress,
-                },
-                ensure_ascii=False,
-            )
-            + "&tk="
-            + tk
-        ).json()
-
-        params = {
-            "keyWord": keyword,
-            "queryRadius": 5000,
-            "queryType": 3,
-            "pointLonlat": base_coords["location"]["lon"] + "," + base_coords["location"]["lat"],
-            "start": 0,
-            "count": 100,
-        }
-
-        result = requests.get(
-            base_url + "?postStr=" + json.dumps(params, ensure_ascii=False) + "&type=query&tk=" + tk
-        ).json()
-
-        return self.create_json_message(result)
diff --git a/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml b/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml
deleted file mode 100644
index 01289d24e3..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-identity:
-  name: point_of_interest_search
-  author: Listeng
-  label:
-    en_US: Point of Interest search
-    zh_Hans: 兴趣点搜索
-    pt_BR: Point of Interest search
-description:
-  human:
-    en_US: Search for certain types of points of interest around a location
-    zh_Hans: 搜索某个位置周边的5公里内某种类型的兴趣点
-    pt_BR: Search for certain types of points of interest around a location
-  llm: A tool for searching for certain types of points of interest around a location
-parameters:
-  - name: keyword
-    type: string
-    required: true
-    label:
-      en_US: poi keyword
-      zh_Hans: 兴趣点的关键字
-      pt_BR: poi keyword
-    human_description:
-      en_US: poi keyword
-      zh_Hans: 兴趣点的关键字
-      pt_BR: poi keyword
-    form: llm
-  - name: baseAddress
-    type: string
-    required: true
-    label:
-      en_US: base current point
-      zh_Hans: 当前位置的关键字
-      pt_BR: base current point
-    human_description:
-      en_US: base current point
-      zh_Hans: 当前位置的关键字
-      pt_BR: base current point
-    form: llm
diff --git a/api/core/tools/provider/builtin/tianditu/tools/staticmap.py b/api/core/tools/provider/builtin/tianditu/tools/staticmap.py
deleted file mode 100644
index aeaef08805..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/staticmap.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import json
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class PoiSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-
-        geocoder_base_url = "http://api.tianditu.gov.cn/geocoder"
-        base_url = "http://api.tianditu.gov.cn/staticimage"
-
-        keyword = tool_parameters.get("keyword", "")
-        if not keyword:
-            return self.create_text_message("Invalid parameter keyword")
-
-        tk = self.runtime.credentials["tianditu_api_key"]
-
-        keyword_coords = requests.get(
-            geocoder_base_url
-            + "?ds="
-            + json.dumps(
-                {
-                    "keyWord": keyword,
-                },
-                ensure_ascii=False,
-            )
-            + "&tk="
-            + tk
-        ).json()
-        coords = keyword_coords["location"]["lon"] + "," + keyword_coords["location"]["lat"]
-
-        result = requests.get(
-            base_url + "?center=" + coords + "&markers=" + coords + "&width=400&height=300&zoom=14&tk=" + tk
-        ).content
-
-        return self.create_blob_message(
-            blob=result, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value
-        )
diff --git a/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml b/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml
deleted file mode 100644
index fc54c42806..0000000000
--- a/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml
+++ /dev/null
@@ -1,26 +0,0 @@
-identity:
-  name: generate_static_map
-  author: Listeng
-  label:
-    en_US: Generate a static map
-    zh_Hans: 生成静态地图
-    pt_BR: Generate a static map
-description:
-  human:
-    en_US: Generate a static map
-    zh_Hans: 生成静态地图
-    pt_BR: Generate a static map
-  llm: A tool for generate a static map
-parameters:
-  - name: keyword
-    type: string
-    required: true
-    label:
-      en_US: keyword
-      zh_Hans: 搜索的关键字
-      pt_BR: keyword
-    human_description:
-      en_US: keyword
-      zh_Hans: 搜索的关键字
-      pt_BR: keyword
-    form: llm
diff --git a/api/core/tools/provider/builtin/time/time.py b/api/core/tools/provider/builtin/time/time.py
deleted file mode 100644
index e4df8d616c..0000000000
--- a/api/core/tools/provider/builtin/time/time.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.time.tools.current_time import CurrentTimeTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class WikiPediaProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            CurrentTimeTool().invoke(
-                user_id="",
-                tool_parameters={},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/time/tools/current_time.py b/api/core/tools/provider/builtin/time/tools/current_time.py
deleted file mode 100644
index 6464bb6602..0000000000
--- a/api/core/tools/provider/builtin/time/tools/current_time.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from datetime import UTC, datetime
-from typing import Any, Union
-
-from pytz import timezone as pytz_timezone
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CurrentTimeTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # get timezone
-        tz = tool_parameters.get("timezone", "UTC")
-        fm = tool_parameters.get("format") or "%Y-%m-%d %H:%M:%S %Z"
-        if tz == "UTC":
-            return self.create_text_message(f"{datetime.now(UTC).strftime(fm)}")
-
-        try:
-            tz = pytz_timezone(tz)
-        except:
-            return self.create_text_message(f"Invalid timezone: {tz}")
-        return self.create_text_message(f"{datetime.now(tz).strftime(fm)}")
diff --git a/api/core/tools/provider/builtin/transcript/_assets/icon.svg b/api/core/tools/provider/builtin/transcript/_assets/icon.svg
deleted file mode 100644
index 83b0700fec..0000000000
--- a/api/core/tools/provider/builtin/transcript/_assets/icon.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg width="800px" height="800px" viewBox="0 -38 256 256" version="1.1" xmlns="http://www.w3.org/2000/svg"
-     xmlns:xlink="http://www.w3.org/1999/xlink" preserveAspectRatio="xMidYMid">
-    <g>
-        <path d="M250.346231,28.0746923 C247.358133,17.0320558 238.732098,8.40602109 227.689461,5.41792308 C207.823743,0 127.868333,0 127.868333,0 C127.868333,0 47.9129229,0.164179487 28.0472049,5.58210256 C17.0045684,8.57020058 8.37853373,17.1962353 5.39043571,28.2388718 C-0.618533519,63.5374615 -2.94988224,117.322662 5.5546152,151.209308 C8.54271322,162.251944 17.1687479,170.877979 28.2113844,173.866077 C48.0771024,179.284 128.032513,179.284 128.032513,179.284 C128.032513,179.284 207.987923,179.284 227.853641,173.866077 C238.896277,170.877979 247.522312,162.251944 250.51041,151.209308 C256.847738,115.861464 258.801474,62.1091 250.346231,28.0746923 Z"
-              fill="#FF0000">
-        </path>
-        <polygon fill="#FFFFFF" points="102.420513 128.06 168.749025 89.642 102.420513 51.224">
-        </polygon>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/transcript/tools/transcript.py b/api/core/tools/provider/builtin/transcript/tools/transcript.py
deleted file mode 100644
index ac7565d9ee..0000000000
--- a/api/core/tools/provider/builtin/transcript/tools/transcript.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from typing import Any, Union
-from urllib.parse import parse_qs, urlparse
-
-from youtube_transcript_api import YouTubeTranscriptApi  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YouTubeTranscriptTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the YouTube transcript tool
-        """
-        try:
-            # Extract parameters with defaults
-            video_input = tool_parameters["video_id"]
-            language = tool_parameters.get("language")
-            output_format = tool_parameters.get("format", "text")
-            preserve_formatting = tool_parameters.get("preserve_formatting", False)
-            proxy = tool_parameters.get("proxy")
-            cookies = tool_parameters.get("cookies")
-
-            # Extract video ID from URL if needed
-            video_id = self._extract_video_id(video_input)
-
-            # Common kwargs for API calls
-            kwargs = {"proxies": {"https": proxy} if proxy else None, "cookies": cookies}
-
-            try:
-                if language:
-                    transcript_list = YouTubeTranscriptApi.list_transcripts(video_id, **kwargs)
-                    try:
-                        transcript = transcript_list.find_transcript([language])
-                    except:
-                        # If requested language not found, try translating from English
-                        transcript = transcript_list.find_transcript(["en"]).translate(language)
-                    transcript_data = transcript.fetch()
-                else:
-                    transcript_data = YouTubeTranscriptApi.get_transcript(
-                        video_id, preserve_formatting=preserve_formatting, **kwargs
-                    )
-
-                # Format output
-                formatter_class = {
-                    "json": "JSONFormatter",
-                    "pretty": "PrettyPrintFormatter",
-                    "srt": "SRTFormatter",
-                    "vtt": "WebVTTFormatter",
-                }.get(output_format)
-
-                if formatter_class:
-                    from youtube_transcript_api import formatters
-
-                    formatter = getattr(formatters, formatter_class)()
-                    formatted_transcript = formatter.format_transcript(transcript_data)
-                else:
-                    formatted_transcript = " ".join(entry["text"] for entry in transcript_data)
-
-                return self.create_text_message(text=formatted_transcript)
-
-            except Exception as e:
-                return self.create_text_message(text=f"Error getting transcript: {str(e)}")
-
-        except Exception as e:
-            return self.create_text_message(text=f"Error processing request: {str(e)}")
-
-    def _extract_video_id(self, video_input: str) -> str:
-        """
-        Extract video ID from URL or return as-is if already an ID
-        """
-        if "youtube.com" in video_input or "youtu.be" in video_input:
-            # Parse URL
-            parsed_url = urlparse(video_input)
-            if "youtube.com" in parsed_url.netloc:
-                return parse_qs(parsed_url.query)["v"][0]
-            else:  # youtu.be
-                return parsed_url.path[1:]
-        return video_input  # Assume it's already a video ID
diff --git a/api/core/tools/provider/builtin/transcript/tools/transcript.yaml b/api/core/tools/provider/builtin/transcript/tools/transcript.yaml
deleted file mode 100644
index c654634a6c..0000000000
--- a/api/core/tools/provider/builtin/transcript/tools/transcript.yaml
+++ /dev/null
@@ -1,101 +0,0 @@
-identity:
-  name: free_youtube_transcript
-  author: Tao Wang
-  label:
-    en_US: Free YouTube Transcript API
-    zh_Hans: 免费获取 YouTube 转录
-description:
-  human:
-    en_US: Get transcript from a YouTube video for free.
-    zh_Hans: 免费获取 YouTube 视频的转录文案。
-  llm: A tool for retrieving transcript from YouTube videos.
-parameters:
-  - name: video_id
-    type: string
-    required: true
-    label:
-      en_US: Video ID/URL
-      zh_Hans: 视频ID
-    human_description:
-      en_US: Used to define the video from which the transcript will be fetched. You can find the id in the video url. For example - https://www.youtube.com/watch?v=video_id.
-      zh_Hans: 您要哪条视频的转录文案？您可以在视频链接中找到id。例如 - https://www.youtube.com/watch?v=video_id。
-    llm_description: Used to define the video from which the transcript will be fetched. For example - https://www.youtube.com/watch?v=video_id.
-    form: llm
-  - name: language
-    type: string
-    required: false
-    label:
-      en_US: Language Code
-      zh_Hans: 语言
-    human_description:
-      en_US: Language code (e.g. 'en', 'zh') for the transcript.
-      zh_Hans: 字幕语言代码（如'en'、'zh'）。留空则自动选择。
-    llm_description: Used to set the language for transcripts.
-    form: form
-  - name: format
-    type: select
-    required: false
-    default: text
-    options:
-      - value: text
-        label:
-          en_US: Plain Text
-          zh_Hans: 纯文本
-      - value: json
-        label:
-          en_US: JSON Format
-          zh_Hans: JSON 格式
-      - value: pretty
-        label:
-          en_US: Pretty Print Format
-          zh_Hans: 美化格式
-      - value: srt
-        label:
-          en_US: SRT Format
-          zh_Hans: SRT 格式
-      - value: vtt
-        label:
-          en_US: WebVTT Format
-          zh_Hans: WebVTT 格式
-    label:
-      en_US: Output Format
-      zh_Hans: 输出格式
-    human_description:
-      en_US: Format of the transcript output
-      zh_Hans: 字幕输出格式
-    llm_description: The format to output the transcript in. Options are text (plain text), json (raw transcript data), srt (SubRip format), or vtt (WebVTT format)
-    form: form
-  - name: preserve_formatting
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Preserve Formatting
-      zh_Hans: 保留格式
-    human_description:
-      en_US: Keep HTML formatting elements like <i> (italics) and <b> (bold)
-      zh_Hans: 保留HTML格式元素，如<i>（斜体）和<b>（粗体）
-    llm_description: Whether to preserve HTML formatting elements in the transcript text
-    form: form
-  - name: proxy
-    type: string
-    required: false
-    label:
-      en_US: HTTPS Proxy
-      zh_Hans: HTTPS 代理
-    human_description:
-      en_US: HTTPS proxy URL (e.g. https://user:pass@domain:port)
-      zh_Hans: HTTPS 代理地址（如 https://user:pass@domain:port）
-    llm_description: HTTPS proxy to use for the request. Format should be https://user:pass@domain:port
-    form: form
-  - name: cookies
-    type: string
-    required: false
-    label:
-      en_US: Cookies File Path
-      zh_Hans: Cookies 文件路径
-    human_description:
-      en_US: Path to cookies.txt file for accessing age-restricted videos
-      zh_Hans: 用于访问年龄限制视频的 cookies.txt 文件路径
-    llm_description: Path to a cookies.txt file containing YouTube cookies, needed for accessing age-restricted videos
-    form: form
diff --git a/api/core/tools/provider/builtin/transcript/transcript.py b/api/core/tools/provider/builtin/transcript/transcript.py
deleted file mode 100644
index 4fda149988..0000000000
--- a/api/core/tools/provider/builtin/transcript/transcript.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class YouTubeTranscriptProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        """
-        No credentials needed for YouTube Transcript API
-        """
-        pass
diff --git a/api/core/tools/provider/builtin/transcript/transcript.yaml b/api/core/tools/provider/builtin/transcript/transcript.yaml
deleted file mode 100644
index 0786b454c3..0000000000
--- a/api/core/tools/provider/builtin/transcript/transcript.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-identity:
-  author: Tao Wang
-  name: transcript
-  label:
-    en_US: Transcript
-    zh_Hans: Transcript
-  description:
-    en_US: Get transcripts from YouTube videos
-    zh_Hans: 获取 YouTube 视频的字幕/转录文本
-  icon: icon.svg
-  tags:
-    - videos
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/trello/_assets/icon.svg b/api/core/tools/provider/builtin/trello/_assets/icon.svg
deleted file mode 100644
index f8e2bd47c0..0000000000
--- a/api/core/tools/provider/builtin/trello/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg width="2500" height="2500" viewBox="0 0 256 256" xmlns="http://www.w3.org/2000/svg" preserveAspectRatio="xMidYMid"><defs><linearGradient x1="50%" y1="0%" x2="50%" y2="100%" id="a"><stop stop-color="#0091E6" offset="0%"/><stop stop-color="#0079BF" offset="100%"/></linearGradient></defs><rect fill="url(#a)" width="256" height="256" rx="25"/><rect fill="#FFF" x="144.64" y="33.28" width="78.08" height="112" rx="12"/><rect fill="#FFF" x="33.28" y="33.28" width="78.08" height="176" rx="12"/></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/trello/tools/create_board.py b/api/core/tools/provider/builtin/trello/tools/create_board.py
deleted file mode 100644
index 5a61d22157..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_board.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CreateBoardTool(BuiltinTool):
-    """
-    Tool for creating a new Trello board.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to create a new Trello board.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_name = tool_parameters.get("name")
-
-        if not (api_key and token and board_name):
-            return self.create_text_message("Missing required parameters: API key, token, or board name.")
-
-        url = "https://api.trello.com/1/boards/"
-        query_params = {"name": board_name, "key": api_key, "token": token}
-
-        try:
-            response = requests.post(url, params=query_params)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to create board")
-
-        board = response.json()
-        return self.create_text_message(
-            text=f"Board created successfully! Board name: {board['name']}, ID: {board['id']}"
-        )
diff --git a/api/core/tools/provider/builtin/trello/tools/create_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_board.yaml
deleted file mode 100644
index 60dbab61f5..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_board.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: create_board
-  author: Yash Parmar
-  label:
-    en_US: Create Board
-    zh_Hans: 创建看板
-    pt_BR: Criar Quadro
-description:
-  human:
-    en_US: Creates a new Trello board with a specified name. This tool allows users to quickly add new boards to their Trello account, facilitating project organization and management.
-    zh_Hans: 使用指定的名称创建一个新的 Trello 看板。此工具允许用户快速向其 Trello 账户添加新的看板，促进项目组织和管理。
-    pt_BR: Cria um novo quadro Trello com um nome especificado. Esta ferramenta permite que os usuários adicionem rapidamente novos quadros à sua conta Trello, facilitando a organização e gestão de projetos.
-  llm: Create a new Trello board using the specified name. This functionality simplifies the addition of boards, enhancing project organization and management within Trello.
-parameters:
-  - name: name
-    type: string
-    required: true
-    label:
-      en_US: Board Name
-      zh_Hans: 看板名称
-      pt_BR: Nome do Quadro
-    human_description:
-      en_US: The name for the new Trello board. This name helps in identifying and organizing your projects on Trello.
-      zh_Hans: 新 Trello 看板的名称。这个名称有助于在 Trello 上识别和组织您的项目。
-      pt_BR: O nome para o novo quadro Trello. Este nome ajuda a identificar e organizar seus projetos no Trello.
-    llm_description: Specify the name for your new Trello board, aiding in project identification and organization within Trello.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py b/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py
deleted file mode 100644
index b32b0124dd..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CreateListOnBoardTool(BuiltinTool):
-    """
-    Tool for creating a list on a Trello board by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to create a list on a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID and list name.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("id")
-        list_name = tool_parameters.get("name")
-
-        if not (api_key and token and board_id and list_name):
-            return self.create_text_message("Missing required parameters: API key, token, board ID, or list name.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}/lists"
-        params = {"name": list_name, "key": api_key, "token": token}
-
-        try:
-            response = requests.post(url, params=params)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to create list")
-
-        new_list = response.json()
-        return self.create_text_message(
-            text=f"List '{new_list['name']}' created successfully with Id {new_list['id']} on board {board_id}."
-        )
diff --git a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml
deleted file mode 100644
index 789b92437a..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  name: create_list_on_board
-  author: Yash Parmar
-  label:
-    en_US: Create List on Board
-    zh_Hans: 在看板上创建列表
-    pt_BR: Criar Lista no Quadro
-description:
-  human:
-    en_US: Creates a new list on a specified Trello board by providing the board's ID and the desired name for the list. Streamlines the process of organizing board content.
-    zh_Hans: 通过提供看板的 ID 和列表的所需名称，在指定的 Trello 看板上创建一个新列表。简化了组织看板内容的过程。
-    pt_BR: Cria uma nova lista em um quadro Trello especificado, fornecendo o ID do quadro e o nome desejado para a lista. Facilita o processo de organização do conteúdo do quadro.
-  llm: Generate a new list within a Trello board by specifying the board's ID and a name for the list. Enhances board management by allowing quick additions of new lists.
-parameters:
-  - name: id
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier of the Trello board where the new list will be created.
-      zh_Hans: 新列表将被创建在其上的 Trello 看板的唯一标识符。
-      pt_BR: O identificador único do quadro Trello onde a nova lista será criada.
-    llm_description: Input the ID of the Trello board to pinpoint where the new list should be added, ensuring correct placement.
-    form: llm
-  - name: name
-    type: string
-    required: true
-    label:
-      en_US: List Name
-      zh_Hans: 列表名称
-      pt_BR: Nome da Lista
-    human_description:
-      en_US: The name for the new list to be created on the Trello board.
-      zh_Hans: 将在 Trello 看板上创建的新列表的名称。
-      pt_BR: O nome para a nova lista que será criada no quadro Trello.
-    llm_description: Provide a name for the new list, defining its purpose or content focus, to facilitate board organization.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py b/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py
deleted file mode 100644
index e98efb81ca..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class CreateNewCardOnBoardTool(BuiltinTool):
-    """
-    Tool for creating a new card on a Trello board.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to create a new card on a Trello board.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation,
-             including details for the new card.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-
-        # Ensure required parameters are present
-        if "name" not in tool_parameters or "idList" not in tool_parameters:
-            return self.create_text_message("Missing required parameters: name or idList.")
-
-        url = "https://api.trello.com/1/cards"
-        params = {**tool_parameters, "key": api_key, "token": token}
-
-        try:
-            response = requests.post(url, params=params)
-            response.raise_for_status()
-            new_card = response.json()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to create card")
-
-        return self.create_text_message(
-            text=f"New card '{new_card['name']}' created successfully with ID {new_card['id']}."
-        )
diff --git a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml
deleted file mode 100644
index 9953af718d..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml
+++ /dev/null
@@ -1,145 +0,0 @@
-identity:
-  name: create_new_card_on_board
-  author: Yash Parmar
-  label:
-    en_US: Create New Card on Board
-    zh_Hans: 在看板上创建新卡片
-    pt_BR: Criar Novo Cartão no Quadro
-description:
-  human:
-    en_US: Creates a new card on a Trello board with specified details like name, description, list ID, and other optional parameters. Facilitates task addition and project management within Trello.
-    zh_Hans: 用指定的详情（如名称、描述、列表 ID 和其他可选参数）在 Trello 看板上创建一个新卡片。便于在 Trello 中添加任务和管理项目。
-    pt_BR: Cria um novo cartão em um quadro Trello com detalhes especificados, como nome, descrição, ID da lista e outros parâmetros opcionais. Facilita a adição de tarefas e a gestão de projetos dentro do Trello.
-  llm: Initiate a new card on a Trello board by specifying essential details such as the card's name, description, and the list it belongs to, among other settings. Streamlines project task additions and organizational workflows.
-parameters:
-  - name: name
-    type: string
-    required: true
-    label:
-      en_US: Card Name
-      zh_Hans: 卡片名称
-      pt_BR: Nome do Cartão
-    human_description:
-      en_US: The name for the new card. Acts as the primary identifier and summary of the card's purpose.
-      zh_Hans: 新卡片的名称。作为卡片目的的主要标识和总结。
-      pt_BR: O nome para o novo cartão. Funciona como o identificador principal e resumo do propósito do cartão.
-    llm_description: Provide a concise, descriptive name for the card, outlining its main focus or task.
-    form: llm
-  # Include additional parameters like desc, pos, due, idList, etc., following the same pattern.
-  - name: desc
-    type: string
-    required: false
-    label:
-      en_US: Card Description
-      zh_Hans: 卡片描述
-      pt_BR: Descrição do Cartão
-    human_description:
-      en_US: Optional. A brief description of the card's purpose or contents.
-      zh_Hans: 可选。卡片目的或内容的简要描述。
-      pt_BR: Opcional. Uma breve descrição do propósito ou conteúdo do cartão.
-    llm_description: Add a brief description to the card to provide context or additional information about its purpose.
-    form: llm
-  - name: pos
-    type: string
-    required: false
-    label:
-      en_US: Position
-      zh_Hans: 位置
-      pt_BR: Posição
-    human_description:
-      en_US: Optional. The position of the card in the list. Can be 'top', 'bottom', or a positive number.
-      zh_Hans: 可选。卡片在列表中的位置。可以是“top”、“bottom” 或正数。
-      pt_BR: Opcional. A posição do cartão na lista. Pode ser 'top', 'bottom' ou um número positivo.
-    llm_description: Specify the position of the card within the list, either at the top, bottom, or a specific numerical index.
-    form: llm
-  - name: due
-    type: string
-    required: false
-    label:
-      en_US: Due Date
-      zh_Hans: 截止日期
-      pt_BR: Data de Vencimento
-    human_description:
-      en_US: Optional. The due date for the card in the format 'MM/DD/YYYY'.
-      zh_Hans: 可选。卡片的截止日期，格式为“MM/DD/YYYY”。
-      pt_BR: Opcional. A data de vencimento do cartão no formato 'MM/DD/YYYY'.
-    llm_description: Set a due date for the card to establish a deadline for completion or action.
-    form: llm
-  - name: start
-    type: string
-    required: false
-    label:
-      en_US: Start Date
-      zh_Hans: 开始日期
-      pt_BR: Data de Início
-    human_description:
-      en_US: Optional. The start date for the card in the format 'MM/DD/YYYY'.
-      zh_Hans: 可选。卡片的开始日期，格式为“MM/DD/YYYY”。
-      pt_BR: Opcional. A data de início do cartão no formato 'MM/DD/YYYY'.
-    llm_description: Specify a start date for the card to mark the beginning of a task or project phase.
-    form: llm
-  - name: dueComplete
-    type: boolean
-    required: false
-    label:
-      en_US: Due Complete
-      zh_Hans: 截止日期已完成
-      pt_BR: Vencimento Concluído
-    human_description:
-      en_US: Optional. Set to true if the due date has been completed, or false if it is pending.
-      zh_Hans: 可选。如果截止日期已完成，则设置为 true；如果尚未完成，则设置为 false。
-      pt_BR: Opcional. Defina como true se a data de vencimento foi concluída, ou como false se estiver pendente.
-    llm_description: Indicate whether the due date for the card has been marked as complete or is still pending.
-    form: llm
-  - name: idList
-    type: string
-    required: true
-    label:
-      en_US: List ID
-      zh_Hans: 列表 ID
-      pt_BR: ID da Lista
-    human_description:
-      en_US: The unique identifier of the list where the card will be added.
-      zh_Hans: 卡片将被添加到的列表的唯一标识符。
-      pt_BR: O identificador único da lista onde o cartão será adicionado.
-    llm_description: Input the ID of the list where the card should be placed, ensuring it is added to the correct list.
-    form: llm
-  - name: idMembers
-    type: string
-    required: false
-    label:
-      en_US: Member IDs
-      zh_Hans: 成员 ID
-      pt_BR: IDs de Membros
-    human_description:
-      en_US: Optional. The IDs of members to assign to the card.
-      zh_Hans: 可选。要分配给卡片的成员的 ID。
-      pt_BR: Opcional. Os IDs dos membros a serem atribuídos ao cartão.
-    llm_description: Specify the IDs of members to assign to the card, allowing for task delegation or collaboration.
-    form: llm
-  - name: idLabels
-    type: string
-    required: false
-    label:
-      en_US: Label IDs
-      zh_Hans: 标签 ID
-      pt_BR: IDs de Etiquetas
-    human_description:
-      en_US: Optional. The IDs of labels to assign to the card.
-      zh_Hans: 可选。要分配给卡片的标签的 ID。
-      pt_BR: Opcional. Os IDs das etiquetas a serem atribuídos ao cartão.
-    llm_description: Assign specific labels to the card by providing their IDs, aiding in visual categorization or prioritization.
-    form: llm
-  - name: urlSource
-    type: string
-    required: false
-    label:
-      en_US: Source URL
-      zh_Hans: 来源 URL
-      pt_BR: URL de Origem
-    human_description:
-      en_US: Optional. The URL to attach as the card's source.
-      zh_Hans: 可选。要附加为卡片来源的 URL。
-      pt_BR: Opcional. O URL a ser anexado como a fonte do cartão.
-    llm_description: Provide a URL to serve as the source reference for the card, linking to external resources or documents.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/delete_board.py b/api/core/tools/provider/builtin/trello/tools/delete_board.py
deleted file mode 100644
index 7fc9d1f13c..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/delete_board.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DeleteBoardTool(BuiltinTool):
-    """
-    Tool for deleting a Trello board by ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to delete a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}?key={api_key}&token={token}"
-
-        try:
-            response = requests.delete(url)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to delete board")
-
-        return self.create_text_message(text=f"Board with ID {board_id} deleted successfully.")
diff --git a/api/core/tools/provider/builtin/trello/tools/delete_board.yaml b/api/core/tools/provider/builtin/trello/tools/delete_board.yaml
deleted file mode 100644
index f043e78870..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/delete_board.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: delete_board
-  author: Yash Parmar
-  label:
-    en_US: Delete Board
-    zh_Hans: 删除看板
-    pt_BR: Excluir Quadro
-description:
-  human:
-    en_US: Deletes a Trello board using its unique ID. This tool allows for the removal of boards that are no longer needed, ensuring a tidy workspace.
-    zh_Hans: 使用其唯一 ID 删除 Trello 看板。此工具允许删除不再需要的看板，确保工作区整洁。
-    pt_BR: Exclui um quadro Trello usando seu ID único. Esta ferramenta permite a remoção de quadros que não são mais necessários, garantindo um espaço de trabalho organizado.
-  llm: Remove a Trello board by specifying its ID. This functionality is helpful for cleaning up unnecessary boards from your Trello account.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier for the Trello board you wish to delete. This ensures the specific board is accurately targeted for deletion.
-      zh_Hans: 您希望删除的 Trello 看板的唯一标识符。这确保了准确地针对特定看板进行删除。
-      pt_BR: O identificador único para o quadro Trello que você deseja excluir. Isso garante que o quadro específico seja precisamente direcionado para exclusão.
-    llm_description: Enter the ID of the Trello board you want to remove. This ID is essential to identify the board precisely and perform the deletion.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/delete_card.py b/api/core/tools/provider/builtin/trello/tools/delete_card.py
deleted file mode 100644
index 1de98d639e..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/delete_card.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class DeleteCardByIdTool(BuiltinTool):
-    """
-    Tool for deleting a Trello card by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to delete a Trello card by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the card ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        card_id = tool_parameters.get("id")
-
-        if not (api_key and token and card_id):
-            return self.create_text_message("Missing required parameters: API key, token, or card ID.")
-
-        url = f"https://api.trello.com/1/cards/{card_id}?key={api_key}&token={token}"
-
-        try:
-            response = requests.delete(url)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to delete card")
-
-        return self.create_text_message(text=f"Card with ID {card_id} has been successfully deleted.")
diff --git a/api/core/tools/provider/builtin/trello/tools/delete_card.yaml b/api/core/tools/provider/builtin/trello/tools/delete_card.yaml
deleted file mode 100644
index 8898ef1bde..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/delete_card.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: delete_card_by_id
-  author: Yash Parmar
-  label:
-    en_US: Delete Card by ID
-    zh_Hans: 通过 ID 删除卡片
-    pt_BR: Deletar Cartão por ID
-description:
-  human:
-    en_US: Deletes a Trello card using its unique ID. This tool facilitates the removal of cards that are no longer needed, maintaining an organized board.
-    zh_Hans: 使用其唯一 ID 删除 Trello 卡片。此工具便于删除不再需要的卡片，保持看板的有序。
-    pt_BR: Exclui um cartão Trello usando seu ID único. Esta ferramenta facilita a remoção de cartões que não são mais necessários, mantendo um quadro organizado.
-  llm: Remove a specific Trello card by providing its ID. Ideal for cleaning up and organizing your Trello boards by eliminating unwanted cards.
-parameters:
-  - name: id
-    type: string
-    required: true
-    label:
-      en_US: Card ID
-      zh_Hans: 卡片 ID
-      pt_BR: ID do Cartão
-    human_description:
-      en_US: The unique identifier of the Trello card you wish to delete. This ensures the precise card is removed.
-      zh_Hans: 您希望删除的 Trello 卡片的唯一标识符。这确保了精确移除特定卡片。
-      pt_BR: O identificador único do cartão Trello que você deseja excluir. Isso garante que o cartão exato seja removido.
-    llm_description: Input the ID of the Trello card targeted for deletion to ensure accurate and specific removal.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py b/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py
deleted file mode 100644
index 0c5ed9ea85..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py
+++ /dev/null
@@ -1,50 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class FetchAllBoardsTool(BuiltinTool):
-    """
-    Tool for fetching all boards from Trello.
-    """
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the fetch all boards tool.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation.
-
-        Returns:
-            Union[ToolInvokeMessage, List[ToolInvokeMessage]]: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-
-        if not (api_key and token):
-            return self.create_text_message("Missing Trello API key or token in credentials.")
-
-        # Including board filter in the request if provided
-        board_filter = tool_parameters.get("boards", "open")
-        url = f"https://api.trello.com/1/members/me/boards?filter={board_filter}&key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()  # Raises stored HTTPError, if one occurred.
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to fetch boards")
-
-        boards = response.json()
-
-        if not boards:
-            return self.create_text_message("No boards found in Trello.")
-
-        # Creating a string with both board names and IDs
-        boards_info = ", ".join([f"{board['name']} (ID: {board['id']})" for board in boards])
-        return self.create_text_message(text=f"Boards: {boards_info}")
diff --git a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml b/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml
deleted file mode 100644
index d0ac4beaaa..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-identity:
-  name: fetch_all_boards
-  author: Yash Parmar
-  label:
-    en_US: Fetch All Boards
-    zh_Hans: 获取所有看板
-    pt_BR: Buscar Todos os Quadros
-description:
-  human:
-    en_US: Retrieves all the Trello boards associated with the user's account. This tool provides a quick overview of all open boards, aiding in efficient project management and organization.
-    zh_Hans: 检索与用户账户关联的所有 Trello 看板。该工具提供了所有打开的看板的快速概览，有助于高效的项目管理和组织。
-    pt_BR: Recupera todos os quadros do Trello associados à conta do usuário. Esta ferramenta oferece uma visão geral rápida de todos os quadros abertos, auxiliando na gestão e organização eficiente do projeto.
-  llm: This tool fetches all Trello boards linked to the user's account, offering a swift snapshot of open boards to streamline project management and organization tasks.
-parameters:
-  - name: boards
-    type: string
-    required: false
-    default: open
-    label:
-      en_US: Boards filter
-      zh_Hans: 看板过滤器
-      pt_BR: Filtro de quadros
-    human_description:
-      en_US: Specifies the type of boards to retrieve. Default is 'open', fetching all open boards. Other options include 'closed', 'members', 'organization', etc.
-      zh_Hans: 指定要检索的看板类型。默认为“open”，获取所有打开的看板。其他选项包括“closed”，“members”，“organization”等。
-      pt_BR: Especifica o tipo de quadros a serem recuperados. O padrão é 'open', buscando todos os quadros abertos. Outras opções incluem 'closed', 'members', 'organization', etc.
-    llm_description: Determines the category of boards to be displayed, with 'open' as the default setting to show all open boards. Variants like 'closed', 'members', and 'organization' are also selectable.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_actions.py b/api/core/tools/provider/builtin/trello/tools/get_board_actions.py
deleted file mode 100644
index cabc7ce093..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_actions.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetBoardActionsTool(BuiltinTool):
-    """
-    Tool for retrieving actions for a Trello board by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to retrieve actions for a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}/actions?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            actions = response.json()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to retrieve board actions")
-
-        actions_summary = "\n".join(
-            [f"{action['type']}: {action.get('data', {}).get('text', 'No details available')}" for action in actions]
-        )
-        return self.create_text_message(text=f"Actions for Board ID {board_id}:\n{actions_summary}")
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml
deleted file mode 100644
index 1ba89f9e44..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: get_board_actions
-  author: Yash Parmar
-  label:
-    en_US: Get Board Actions
-    zh_Hans: 获取看板操作
-    pt_BR: Obter Ações do Quadro
-description:
-  human:
-    en_US: Retrieves a list of actions (such as updates, movements, and comments) for a Trello board by its ID. This tool provides insights into the board's activity history.
-    zh_Hans: 通过其 ID 为 Trello 看板检索操作列表（如更新、移动和评论）。此工具提供了看板活动历史的见解。
-    pt_BR: Recupera uma lista de ações (como atualizações, movimentos e comentários) para um quadro Trello pelo seu ID. Esta ferramenta oferece insights sobre o histórico de atividades do quadro.
-  llm: Fetch the sequence of actions performed on a Trello board, such as card updates, movements, and comments, by providing the board's ID. Offers a historical view of board activities.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier of the Trello board for which you want to retrieve actions. It targets the specific board to fetch its activity log.
-      zh_Hans: 您想要检索操作的 Trello 看板的唯一标识符。它定位特定的看板以获取其活动日志。
-      pt_BR: O identificador único do quadro Trello para o qual você deseja recuperar ações. Direciona especificamente para o quadro para buscar seu registro de atividades.
-    llm_description: Input the ID of the Trello board to access its detailed action history, including all updates, comments, and movements related to the board.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py b/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py
deleted file mode 100644
index fe42cd9c5c..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetBoardByIdTool(BuiltinTool):
-    """
-    Tool for retrieving detailed information about a Trello board by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to retrieve a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            board = response.json()
-            board_details = self.format_board_details(board)
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to retrieve board")
-
-        return self.create_text_message(text=board_details)
-
-    def format_board_details(self, board: dict) -> str:
-        """
-        Format the board details into a human-readable string.
-
-        Args:
-            board (dict): The board information as a dictionary.
-
-        Returns:
-            str: Formatted board details.
-        """
-        details = (
-            f"Board Name: {board['name']}\n"
-            f"Board ID: {board['id']}\n"
-            f"Description: {board['desc'] or 'No description provided.'}\n"
-            f"Status: {'Closed' if board['closed'] else 'Open'}\n"
-            f"Organization ID: {board['idOrganization'] or 'Not part of an organization.'}\n"
-            f"URL: {board['url']}\n"
-            f"Short URL: {board['shortUrl']}\n"
-            f"Permission Level: {board['prefs']['permissionLevel']}\n"
-            f"Background Color: {board['prefs']['backgroundColor']}"
-        )
-        return details
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml
deleted file mode 100644
index 45c93006ba..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: get_board_by_id
-  author: Yash Parmar
-  label:
-    en_US: Get Board by ID
-    zh_Hans: 通过 ID 获取看板
-    pt_BR: Obter Quadro por ID
-description:
-  human:
-    en_US: Retrieves detailed information about a specific Trello board using its unique ID. This tool enables users to quickly access board details without navigating through the Trello interface.
-    zh_Hans: 使用其唯一 ID 检索有关特定 Trello 看板的详细信息。此工具使用户能够快速访问看板详情，无需通过 Trello 界面导航。
-    pt_BR: Recupera informações detalhadas sobre um quadro Trello específico usando seu ID único. Esta ferramenta permite que os usuários acessem rapidamente os detalhes do quadro sem navegar pela interface do Trello.
-  llm: Access details of a Trello board by providing its ID. This tool offers a direct way to view board information, simplifying the process of managing and reviewing Trello boards.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier for the Trello board you wish to retrieve. This ID enables precise targeting and fetching of the board's details.
-      zh_Hans: 您希望检索的 Trello 看板的唯一标识符。此 ID 使能够准确定位和获取看板的详细信息。
-      pt_BR: O identificador único do quadro Trello que você deseja recuperar. Este ID permite o direcionamento preciso e a obtenção dos detalhes do quadro.
-    llm_description: Input the ID of the Trello board to get its details. This unique ID ensures accurate retrieval of information about the specified board.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_cards.py b/api/core/tools/provider/builtin/trello/tools/get_board_cards.py
deleted file mode 100644
index ff2b1221e7..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_cards.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetBoardCardsTool(BuiltinTool):
-    """
-    Tool for retrieving cards on a Trello board by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to retrieve cards on a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}/cards?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            cards = response.json()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to retrieve board cards")
-
-        cards_summary = "\n".join([f"{card['name']} (ID: {card['id']})" for card in cards])
-        return self.create_text_message(text=f"Cards for Board ID {board_id}:\n{cards_summary}")
diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml
deleted file mode 100644
index 852ea278af..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: get_board_cards
-  author: Yash Parmar
-  label:
-    en_US: Get Board Cards
-    zh_Hans: 获取看板卡片
-    pt_BR: Obter Cartões do Quadro
-description:
-  human:
-    en_US: Retrieves all cards present on a specific Trello board by its ID, providing a list of card names and their IDs. Useful for managing and organizing project tasks.
-    zh_Hans: 通过其 ID 检索特定 Trello 看板上的所有卡片，提供卡片名称及其 ID 的列表。用于管理和组织项目任务。
-    pt_BR: Recupera todos os cartões presentes em um quadro Trello específico pelo seu ID, fornecendo uma lista dos nomes dos cartões e seus IDs. Útil para gerenciar e organizar tarefas de projetos.
-  llm: Obtain a list of all cards on a specific Trello board by entering the board's ID. This tool helps in quickly assessing the tasks or items associated with the board.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier of the Trello board from which you want to retrieve cards. It specifies the exact board to gather card details from.
-      zh_Hans: 您想要从中检索卡片的 Trello 看板的唯一标识符。它指定了要从中收集卡片详细信息的确切看板。
-      pt_BR: O identificador único do quadro Trello do qual você deseja recuperar os cartões. Especifica o quadro exato para obter detalhes dos cartões.
-    llm_description: Input the ID of the Trello board to fetch its cards, allowing for a detailed overview of the board's contents.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py b/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py
deleted file mode 100644
index 3d7f9f4ad1..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetFilteredBoardCardsTool(BuiltinTool):
-    """
-    Tool for retrieving filtered cards on a Trello board by its ID and a specified filter.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to retrieve filtered cards on a Trello board by its ID and filter.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID and filter.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-        filter = tool_parameters.get("filter")
-
-        if not (api_key and token and board_id and filter):
-            return self.create_text_message("Missing required parameters: API key, token, board ID, or filter.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}/cards/{filter}?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            filtered_cards = response.json()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to retrieve filtered cards")
-
-        card_details = "\n".join([f"{card['name']} (ID: {card['id']})" for card in filtered_cards])
-        return self.create_text_message(
-            text=f"Filtered Cards for Board ID {board_id} with Filter '{filter}':\n{card_details}"
-        )
diff --git a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml b/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml
deleted file mode 100644
index 3905956457..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  name: get_filtered_board_cards
-  author: Yash Parmar
-  label:
-    en_US: Get Filtered Board Cards
-    zh_Hans: 获取筛选的看板卡片
-    pt_BR: Obter Cartões Filtrados do Quadro
-description:
-  human:
-    en_US: Retrieves cards from a Trello board using a specified filter and the board's ID. Filters include options like 'all', 'open', 'closed', 'none', and 'visible', allowing for tailored views of board content.
-    zh_Hans: 使用指定的过滤器和看板的 ID 从 Trello 看板检索卡片。过滤器包括 'all', 'open', 'closed', 'none' 和 'visible' 等选项，允许对看板内容进行定制查看。
-    pt_BR: Recupera cartões de um quadro Trello usando um filtro especificado e o ID do quadro. Os filtros incluem opções como 'all', 'open', 'closed', 'none' e 'visible', permitindo visualizações personalizadas do conteúdo do quadro.
-  llm: Access cards on a Trello board through specific filters such as 'all', 'open', 'closed', 'none', and 'visible' by providing the board's ID. This feature enables focused examination of the board's cards.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier for the Trello board from which to retrieve the filtered cards.
-      zh_Hans: 用于检索筛选卡片的 Trello 看板的唯一标识符。
-      pt_BR: O identificador único do quadro Trello do qual os cartões filtrados serão recuperados.
-    llm_description: Enter the Trello board's ID to specify from which board to fetch the cards using the filter.
-    form: llm
-  - name: filter
-    type: string
-    required: true
-    label:
-      en_US: Filter
-      zh_Hans: 过滤器
-      pt_BR: Filtro
-    human_description:
-      en_US: The filter to apply when retrieving cards. Valid values are 'all', 'open', 'closed', 'none', and 'visible'.
-      zh_Hans: 检索卡片时应用的过滤器。有效值为 'all', 'open', 'closed', 'none', 和 'visible'。
-      pt_BR: O filtro a ser aplicado ao recuperar cartões. Os valores válidos são 'all', 'open', 'closed', 'none' e 'visible'.
-    llm_description: Specify the filter for card retrieval. Choose from 'all', 'open', 'closed', 'none', or 'visible' to control which cards are fetched.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py b/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py
deleted file mode 100644
index ccf404068f..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py
+++ /dev/null
@@ -1,43 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class GetListsFromBoardTool(BuiltinTool):
-    """
-    Tool for retrieving all lists from a specified Trello board by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to get all lists from a specified Trello board.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation,
-             including the board ID.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.get("boardId")
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}/lists?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            lists = response.json()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to retrieve lists")
-
-        lists_info = "\n".join([f"{list['name']} (ID: {list['id']})" for list in lists])
-        return self.create_text_message(text=f"Lists on Board ID {board_id}:\n{lists_info}")
diff --git a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml
deleted file mode 100644
index 31028a8040..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: get_lists_from_board
-  author: Yash Parmar
-  label:
-    en_US: Get Lists from Board
-    zh_Hans: 获取看板的列表
-    pt_BR: Obter Listas do Quadro
-description:
-  human:
-    en_US: Retrieves all lists from a specified Trello board by its ID, providing an overview of the board's organization and current phases or categories.
-    zh_Hans: 通过其 ID 从指定的 Trello 看板检索所有列表，提供看板组织和当前阶段或类别的概览。
-    pt_BR: Recupera todas as listas de um quadro Trello especificado pelo seu ID, fornecendo uma visão geral da organização do quadro e das fases ou categorias atuais.
-  llm: Fetch and display all lists from a specific Trello board by inputting the board's ID. This aids in understanding the board's structure and task categorization.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier of the Trello board from which to retrieve the lists.
-      zh_Hans: 用于检索列表的 Trello 看板的唯一标识符。
-      pt_BR: O identificador único do quadro Trello do qual as listas serão recuperadas.
-    llm_description: Enter the ID of the Trello board to obtain a detailed list of all its lists, providing insight into the board's structure.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/update_board.py b/api/core/tools/provider/builtin/trello/tools/update_board.py
deleted file mode 100644
index 1e358b00f4..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/update_board.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class UpdateBoardByIdTool(BuiltinTool):
-    """
-    Tool for updating a Trello board by its ID with various parameters.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to update a Trello board by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation,
-             including board ID and updates.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        board_id = tool_parameters.pop("boardId", None)
-
-        if not (api_key and token and board_id):
-            return self.create_text_message("Missing required parameters: API key, token, or board ID.")
-
-        url = f"https://api.trello.com/1/boards/{board_id}"
-
-        # Removing parameters not intended for update action or with None value
-        params = {k: v for k, v in tool_parameters.items() if v is not None}
-        params["key"] = api_key
-        params["token"] = token
-
-        try:
-            response = requests.put(url, params=params)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to update board")
-
-        updated_board = response.json()
-        return self.create_text_message(text=f"Board '{updated_board['name']}' updated successfully.")
diff --git a/api/core/tools/provider/builtin/trello/tools/update_board.yaml b/api/core/tools/provider/builtin/trello/tools/update_board.yaml
deleted file mode 100644
index 487919631a..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/update_board.yaml
+++ /dev/null
@@ -1,157 +0,0 @@
-identity:
-  name: update_board_by_id
-  author: Yash Parmar
-  label:
-    en_US: Update Board by ID
-    zh_Hans: 通过 ID 更新看板
-    pt_BR: Atualizar Quadro por ID
-description:
-  human:
-    en_US: Updates a Trello board's settings based on the provided ID and parameters. Allows for changing the board's name, description, status, and other preferences.
-    zh_Hans: 根据提供的 ID 和参数更新 Trello 看板的设置。允许更改看板的名称、描述、状态和其他偏好设置。
-    pt_BR: Atualiza as configurações de um quadro Trello com base no ID fornecido e nos parâmetros. Permite alterar o nome, descrição, status e outras preferências do quadro.
-  llm: Modify a Trello board's attributes like its name, description, and visibility settings using the board's ID. This tool streamlines board customization and management.
-parameters:
-  - name: boardId
-    type: string
-    required: true
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: The unique identifier of the Trello board you want to update. Ensures targeted and precise updates.
-      zh_Hans: 您要更新的 Trello 看板的唯一标识符。确保目标准确和更新精确。
-      pt_BR: O identificador único do quadro Trello que você deseja atualizar. Garante atualizações direcionadas e precisas.
-    llm_description: Provide the specific ID of the Trello board you aim to update to ensure accuracy in modification process.
-    form: llm
-  - name: name
-    type: string
-    required: false
-    label:
-      en_US: Board Name
-      zh_Hans: 看板名称
-      pt_BR: Nome do Quadro
-    human_description:
-      en_US: Optional. The new name for the board.
-      zh_Hans: 可选。看板的新名称。
-      pt_BR: Opcional. O novo nome para o quadro.
-    llm_description: Enter a new name for the board if you wish to change it; this name identifies the board in Trello.
-    form: llm
-  - name: desc
-    type: string
-    required: false
-    label:
-      en_US: Board Description
-      zh_Hans: 看板描述
-      pt_BR: Descrição do Quadro
-    human_description:
-      en_US: Optional. The new description for the board.
-      zh_Hans: 可选。看板的新描述。
-      pt_BR: Opcional. A nova descrição para o quadro.
-    llm_description: Provide a new description for the board if you wish to update it; this description provides additional context about the board.
-    form: llm
-  - name: closed
-    type: boolean
-    required: false
-    label:
-      en_US: Closed
-      zh_Hans: 已关闭
-      pt_BR: Fechado
-    human_description:
-      en_US: Optional. Set to true to close the board, or false to keep it open.
-      zh_Hans: 可选。设置为 true 以关闭看板，或设置为 false 以保持打开。
-      pt_BR: Opcional. Defina como true para fechar o quadro ou como false para mantê-lo aberto.
-    llm_description: Specify whether the board should be closed or kept open by setting this parameter to true or false.
-    form: llm
-  - name: subscribed
-    type: string
-    required: false
-    label:
-      en_US: Subscribed
-      zh_Hans: 订阅
-      pt_BR: Inscrito
-    human_description:
-      en_US: Optional. Set to true to subscribe to the board, or false to unsubscribe.
-      zh_Hans: 可选。设置为 true 以订阅看板，或设置为 false 以取消订阅。
-      pt_BR: Opcional. Defina como true para se inscrever no quadro ou como false para cancelar a inscrição.
-    llm_description: Choose to subscribe or unsubscribe from the board by setting this parameter to true or false.
-    form: llm
-  - name: idOrganization
-    type: string
-    required: false
-    label:
-      en_US: Organization ID
-      zh_Hans: 组织 ID
-      pt_BR: ID da Organização
-    human_description:
-      en_US: Optional. The ID of the organization to which the board belongs.
-      zh_Hans: 可选。看板所属组织的 ID。
-      pt_BR: Opcional. O ID da organização à qual o quadro pertence.
-    llm_description: Input the ID of the organization to which the board is associated, if applicable.
-    form: llm
-  - name: prefs_permissionLevel
-    type: string
-    required: false
-    label:
-      en_US: Permission Level
-      zh_Hans: 权限级别
-      pt_BR: Nível de Permissão
-    human_description:
-      en_US: Optional. The permission level for the board. Valid values are 'private', 'org', or 'public'.
-      zh_Hans: 可选。看板的权限级别。有效值为 'private'、'org' 或 'public'。
-      pt_BR: Opcional. O nível de permissão para o quadro. Os valores válidos são 'private', 'org' ou 'public'.
-    llm_description: Specify the permission level for the board by choosing from 'private', 'org', or 'public'.
-    form: llm
-  - name: prefs_selfJoin
-    type: boolean
-    required: false
-    label:
-      en_US: Allow Self-Join
-      zh_Hans: 允许自行加入
-      pt_BR: Permitir Auto-Inscrição
-    human_description:
-      en_US: Optional. Set to true to allow members to join the board without an invitation, or false to require an invitation.
-      zh_Hans: 可选。设置为 true 以允许成员加入看板而无需邀请，或设置为 false 以要求邀请。
-      pt_BR: Opcional. Defina como true para permitir que os membros se inscrevam no quadro sem um convite, ou como false para exigir um convite.
-    llm_description: Choose whether to allow members to join the board without an invitation by setting this parameter to true or false.
-    form: llm
-  - name: prefs_cardCovers
-    type: boolean
-    required: false
-    label:
-      en_US: Card Covers
-      zh_Hans: 卡片封面
-      pt_BR: Capas de Cartão
-    human_description:
-      en_US: Optional. Set to true to enable card covers, or false to disable them.
-      zh_Hans: 可选。设置为 true 以启用卡片封面，或设置为 false 以禁用卡片封面。
-      pt_BR: Opcional. Defina como true para habilitar capas de cartão ou como false para desabilitá-las.
-    llm_description: Enable or disable card covers by setting this parameter to true or false.
-    form: llm
-  - name: prefs_hideVotes
-    type: boolean
-    required: false
-    label:
-      en_US: Hide Votes
-      zh_Hans: 隐藏投票
-      pt_BR: Ocultar Votos
-    human_description:
-      en_US: Optional. Set to true to hide votes, or false to show them.
-      zh_Hans: 可选。设置为 true 以隐藏投票，或设置为 false 以显示投票。
-      pt_BR: Opcional. Defina como true para ocultar votos ou como false para mostrá-los.
-    llm_description: Choose to hide or show votes by setting this parameter to true or false.
-    form: llm
-  - name: prefs_invitations
-    type: string
-    required: false
-    label:
-      en_US: Invitations
-      zh_Hans: 邀请
-      pt_BR: Convites
-    human_description:
-      en_US: Optional. Set to 'members' to allow only board members to send invitations, or 'admins' to allow admins to send invitations.
-      zh_Hans: 可选。设置为 'members' 以仅允许看板成员发送邀请，或设置为 'admins' 以允许管理员发送邀请。
-      pt_BR: Opcional. Defina como 'members' para permitir que apenas membros do quadro enviem convites, ou 'admins' para permitir que os administradores enviem convites.
-    llm_description: Choose who can send invitations by setting this parameter to 'members' or 'admins'.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/tools/update_card.py b/api/core/tools/provider/builtin/trello/tools/update_card.py
deleted file mode 100644
index d25fcbafaa..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/update_card.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class UpdateCardByIdTool(BuiltinTool):
-    """
-    Tool for updating a Trello card by its ID.
-    """
-
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage:
-        """
-        Invoke the tool to update a Trello card by its ID.
-
-        Args:
-            user_id (str): The ID of the user invoking the tool.
-            tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation,
-             including the card ID and updates.
-
-        Returns:
-            ToolInvokeMessage: The result of the tool invocation.
-        """
-        api_key = self.runtime.credentials.get("trello_api_key")
-        token = self.runtime.credentials.get("trello_api_token")
-        card_id = tool_parameters.get("id")
-
-        if not (api_key and token and card_id):
-            return self.create_text_message("Missing required parameters: API key, token, or card ID.")
-
-        # Constructing the URL and the payload for the PUT request
-        url = f"https://api.trello.com/1/cards/{card_id}"
-        params = {k: v for k, v in tool_parameters.items() if v is not None and k != "id"}
-        params.update({"key": api_key, "token": token})
-
-        try:
-            response = requests.put(url, params=params)
-            response.raise_for_status()
-        except requests.exceptions.RequestException as e:
-            return self.create_text_message("Failed to update card")
-
-        updated_card_info = f"Card '{card_id}' updated successfully."
-        return self.create_text_message(text=updated_card_info)
diff --git a/api/core/tools/provider/builtin/trello/tools/update_card.yaml b/api/core/tools/provider/builtin/trello/tools/update_card.yaml
deleted file mode 100644
index 5240dfc3ed..0000000000
--- a/api/core/tools/provider/builtin/trello/tools/update_card.yaml
+++ /dev/null
@@ -1,81 +0,0 @@
-identity:
-  name: update_card_by_id
-  author: Yash Parmar
-  label:
-    en_US: Update Card by ID
-    zh_Hans: 通过 ID 更新卡片
-    pt_BR: Atualizar Cartão por ID
-description:
-  human:
-    en_US: Updates specified attributes of a Trello card, such as its name, description, list ID, and board ID, by providing the card's unique ID.
-    zh_Hans: 通过提供卡片的唯一 ID，更新 Trello 卡片的特定属性，如其名称、描述、列表 ID 和看板 ID。
-    pt_BR: Atualiza atributos específicos de um cartão Trello, como seu nome, descrição, ID da lista e ID do quadro, fornecendo o ID único do cartão.
-  llm: Modify a Trello card's key details, including name, description, and its placement on the board, by using the card's ID. Enables precise and targeted updates to card information.
-parameters:
-  - name: id
-    type: string
-    required: true
-    label:
-      en_US: Card ID
-      zh_Hans: 卡片 ID
-      pt_BR: ID do Cartão
-    human_description:
-      en_US: The unique identifier of the Trello card you intend to update.
-      zh_Hans: 您打算更新的 Trello 卡片的唯一标识符。
-      pt_BR: O identificador único do cartão Trello que você pretende atualizar.
-    llm_description: Input the ID of the Trello card to be updated to ensure the correct card is targeted.
-    form: llm
-  # Include other parameters following the same pattern
-  - name: name
-    type: string
-    required: false
-    label:
-      en_US: New Name
-      zh_Hans: 新名称
-      pt_BR: Novo Nome
-    human_description:
-      en_US: Optional. The new name to assign to the card.
-      zh_Hans: 可选。要分配给卡片的新名称。
-      pt_BR: Opcional. O novo nome a ser atribuído ao cartão.
-    llm_description: Specify a new name for the card if changing it. This name is what will be displayed on the Trello board.
-    form: llm
-  # Add definitions for desc, idList and idBoard parameters
-  - name: desc
-    type: string
-    required: false
-    label:
-      en_US: New Description
-      zh_Hans: 新描述
-      pt_BR: Nova Descrição
-    human_description:
-      en_US: Optional. The new description to assign to the card.
-      zh_Hans: 可选。要分配给卡片的新描述。
-      pt_BR: Opcional. A nova descrição a ser atribuída ao cartão.
-    llm_description: Provide a new description for the card if you wish to update it; this description provides additional context about the card.
-    form: llm
-  - name: idList
-    type: string
-    required: false
-    label:
-      en_US: List ID
-      zh_Hans: 列表 ID
-      pt_BR: ID da Lista
-    human_description:
-      en_US: Optional. The ID of the list to which the card should be moved.
-      zh_Hans: 可选。卡片应移动到的列表的 ID。
-      pt_BR: Opcional. O ID da lista para a qual o cartão deve ser movido.
-    llm_description: Enter the ID of the list where you want to move the card. This action relocates the card to the specified list.
-    form: llm
-  - name: idBoard
-    type: string
-    required: false
-    label:
-      en_US: Board ID
-      zh_Hans: 看板 ID
-      pt_BR: ID do Quadro
-    human_description:
-      en_US: Optional. The ID of the board to which the card should be moved.
-      zh_Hans: 可选。卡片应移动到的看板的 ID。
-      pt_BR: Opcional. O ID do quadro para o qual o cartão deve ser movido.
-    llm_description: Provide the ID of the board where you want to move the card. This action relocates the card to the specified board.
-    form: llm
diff --git a/api/core/tools/provider/builtin/trello/trello.py b/api/core/tools/provider/builtin/trello/trello.py
deleted file mode 100644
index e0dca50ec9..0000000000
--- a/api/core/tools/provider/builtin/trello/trello.py
+++ /dev/null
@@ -1,34 +0,0 @@
-from typing import Any
-
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class TrelloProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        """Validate Trello API credentials by making a test API call.
-
-        Args:
-            credentials (dict[str, Any]): The Trello API credentials to validate.
-
-        Raises:
-            ToolProviderCredentialValidationError: If the credentials are invalid.
-        """
-        api_key = credentials.get("trello_api_key")
-        token = credentials.get("trello_api_token")
-        url = f"https://api.trello.com/1/members/me?key={api_key}&token={token}"
-
-        try:
-            response = requests.get(url)
-            response.raise_for_status()  # Raises an HTTPError for bad responses
-        except requests.exceptions.HTTPError as e:
-            if response.status_code == 401:
-                # Unauthorized, indicating invalid credentials
-                raise ToolProviderCredentialValidationError("Invalid Trello credentials: Unauthorized.")
-            # Handle other potential HTTP errors
-            raise ToolProviderCredentialValidationError("Error validating Trello credentials")
-        except requests.exceptions.RequestException as e:
-            # Handle other exceptions, such as connection errors
-            raise ToolProviderCredentialValidationError("Error validating Trello credentials")
diff --git a/api/core/tools/provider/builtin/trello/trello.yaml b/api/core/tools/provider/builtin/trello/trello.yaml
deleted file mode 100644
index 49c9f4f9a1..0000000000
--- a/api/core/tools/provider/builtin/trello/trello.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-identity:
-  author: Yash Parmar
-  name: trello
-  label:
-    en_US: Trello
-    zh_Hans: Trello
-    pt_BR: Trello
-  description:
-    en_US: "Trello: A visual tool for organizing your work and life."
-    zh_Hans: "Trello: 一个用于组织工作和生活的视觉工具。"
-    pt_BR: "Trello: Uma ferramenta visual para organizar seu trabalho e vida."
-  icon: icon.svg
-  tags:
-    - productivity
-credentials_for_provider:
-  trello_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Trello API key
-      zh_Hans: Trello API key
-      pt_BR: Trello API key
-    placeholder:
-      en_US: Enter your Trello API key
-      zh_Hans: 输入您的 Trello API key
-      pt_BR: Insira sua chave API do Trello
-    help:
-      en_US: Obtain your API key from Trello's website.
-      zh_Hans: 从 Trello 网站获取您的 API key。
-      pt_BR: Obtenha sua chave API no site do Trello.
-    url: https://developer.atlassian.com/cloud/trello/guides/rest-api/api-introduction/
-  trello_api_token:
-    type: secret-input
-    required: true
-    label:
-      en_US: Trello API token
-      zh_Hans: Trello API token
-      pt_BR: Trello API token
-    placeholder:
-      en_US: Enter your Trello API token
-      zh_Hans: 输入您的 Trello API token
-      pt_BR: Insira seu token API do Trello
-    help:
-      en_US: Secure your API token from Trello's website.
-      zh_Hans: 从 Trello 网站获取您的 API token。
-      pt_BR: Garanta seu token API no site do Trello.
-    url: https://developer.atlassian.com/cloud/trello/guides/rest-api/api-introduction/
diff --git a/api/core/tools/provider/builtin/twilio/_assets/icon.svg b/api/core/tools/provider/builtin/twilio/_assets/icon.svg
deleted file mode 100644
index a1e2bd12c2..0000000000
--- a/api/core/tools/provider/builtin/twilio/_assets/icon.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg width="2500" height="2500" viewBox="0 0 256 256" xmlns="http://www.w3.org/2000/svg" preserveAspectRatio="xMidYMid"><g fill="#CF272D"><path d="M127.86 222.304c-52.005 0-94.164-42.159-94.164-94.163 0-52.005 42.159-94.163 94.164-94.163 52.004 0 94.162 42.158 94.162 94.163 0 52.004-42.158 94.163-94.162 94.163zm0-222.023C57.245.281 0 57.527 0 128.141 0 198.756 57.245 256 127.86 256c70.614 0 127.859-57.244 127.859-127.859 0-70.614-57.245-127.86-127.86-127.86z"/><path d="M133.116 96.297c0-14.682 11.903-26.585 26.586-26.585 14.683 0 26.585 11.903 26.585 26.585 0 14.684-11.902 26.586-26.585 26.586-14.683 0-26.586-11.902-26.586-26.586M133.116 159.983c0-14.682 11.903-26.586 26.586-26.586 14.683 0 26.585 11.904 26.585 26.586 0 14.683-11.902 26.586-26.585 26.586-14.683 0-26.586-11.903-26.586-26.586M69.431 159.983c0-14.682 11.904-26.586 26.586-26.586 14.683 0 26.586 11.904 26.586 26.586 0 14.683-11.903 26.586-26.586 26.586-14.682 0-26.586-11.903-26.586-26.586M69.431 96.298c0-14.683 11.904-26.585 26.586-26.585 14.683 0 26.586 11.902 26.586 26.585 0 14.684-11.903 26.586-26.586 26.586-14.682 0-26.586-11.902-26.586-26.586"/></g></svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/twilio/tools/send_message.py b/api/core/tools/provider/builtin/twilio/tools/send_message.py
deleted file mode 100644
index 98a108f4ec..0000000000
--- a/api/core/tools/provider/builtin/twilio/tools/send_message.py
+++ /dev/null
@@ -1,97 +0,0 @@
-from typing import Any, Optional, Union
-
-from pydantic import BaseModel, field_validator
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class TwilioAPIWrapper(BaseModel):
-    """Messaging Client using Twilio.
-
-    To use, you should have the ``twilio`` python package installed,
-    and the environment variables ``TWILIO_ACCOUNT_SID``, ``TWILIO_AUTH_TOKEN``, and
-    ``TWILIO_FROM_NUMBER``, or pass `account_sid`, `auth_token`, and `from_number` as
-    named parameters to the constructor.
-    """
-
-    client: Any = None  #: :meta private:
-    account_sid: Optional[str] = None
-    """Twilio account string identifier."""
-    auth_token: Optional[str] = None
-    """Twilio auth token."""
-    from_number: Optional[str] = None
-    """A Twilio phone number in [E.164](https://www.twilio.com/docs/glossary/what-e164) 
-        format, an 
-        [alphanumeric sender ID](https://www.twilio.com/docs/sms/send-messages#use-an-alphanumeric-sender-id), 
-        or a [Channel Endpoint address](https://www.twilio.com/docs/sms/channels#channel-addresses) 
-        that is enabled for the type of message you want to send. Phone numbers or 
-        [short codes](https://www.twilio.com/docs/sms/api/short-code) purchased from 
-        Twilio also work here. You cannot, for example, spoof messages from a private 
-        cell phone number. If you are using `messaging_service_sid`, this parameter 
-        must be empty.
-    """
-
-    @field_validator("client", mode="before")
-    @classmethod
-    def set_validator(cls, values: dict) -> dict:
-        """Validate that api key and python package exists in environment."""
-        try:
-            from twilio.rest import Client  # type: ignore
-        except ImportError:
-            raise ImportError("Could not import twilio python package. Please install it with `pip install twilio`.")
-        account_sid = values.get("account_sid")
-        auth_token = values.get("auth_token")
-        values["from_number"] = values.get("from_number")
-        values["client"] = Client(account_sid, auth_token)
-
-        return values
-
-    def run(self, body: str, to: str) -> str:
-        """Run body through Twilio and respond with message sid.
-
-        Args:
-            body: The text of the message you want to send. Can be up to 1,600
-                characters in length.
-            to: The destination phone number in
-                [E.164](https://www.twilio.com/docs/glossary/what-e164) format for
-                SMS/MMS or
-                [Channel user address](https://www.twilio.com/docs/sms/channels#channel-addresses)
-                for other 3rd-party channels.
-        """
-        message = self.client.messages.create(to, from_=self.from_number, body=body)
-        return message.sid
-
-
-class SendMessageTool(BuiltinTool):
-    """
-    A tool for sending messages using Twilio API.
-
-    Args:
-        user_id (str): The ID of the user invoking the tool.
-        tool_parameters (Dict[str, Any]): The parameters required for sending the message.
-
-    Returns:
-        Union[ToolInvokeMessage, List[ToolInvokeMessage]]: The result of invoking the tool,
-         which includes the status of the message sending operation.
-    """
-
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        account_sid = self.runtime.credentials["account_sid"]
-        auth_token = self.runtime.credentials["auth_token"]
-        from_number = self.runtime.credentials["from_number"]
-
-        message = tool_parameters["message"]
-        to_number = tool_parameters["to_number"]
-
-        if to_number.startswith("whatsapp:"):
-            from_number = f"whatsapp: {from_number}"
-
-        twilio = TwilioAPIWrapper(account_sid=account_sid, auth_token=auth_token, from_number=from_number)
-
-        # Sending the message through Twilio
-        result = twilio.run(message, to_number)
-
-        return self.create_text_message(text="Message sent successfully.")
diff --git a/api/core/tools/provider/builtin/twilio/tools/send_message.yaml b/api/core/tools/provider/builtin/twilio/tools/send_message.yaml
deleted file mode 100644
index e129698c86..0000000000
--- a/api/core/tools/provider/builtin/twilio/tools/send_message.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  name: send_message
-  author: Yash Parmar
-  label:
-    en_US: SendMessage
-    zh_Hans: 发送消息
-    pt_BR: SendMessage
-description:
-  human:
-    en_US: Send SMS or Twilio Messaging Channels messages.
-    zh_Hans: 发送SMS或Twilio消息通道消息。
-    pt_BR: Send SMS or Twilio Messaging Channels messages.
-  llm: Send SMS or Twilio Messaging Channels messages. Supports different channels including WhatsApp.
-parameters:
-  - name: message
-    type: string
-    required: true
-    label:
-      en_US: Message
-      zh_Hans: 消息内容
-      pt_BR: Message
-    human_description:
-      en_US: The content of the message to be sent.
-      zh_Hans: 要发送的消息内容。
-      pt_BR: The content of the message to be sent.
-    llm_description: The content of the message to be sent.
-    form: llm
-  - name: to_number
-    type: string
-    required: true
-    label:
-      en_US: To Number
-      zh_Hans: 收信号码
-      pt_BR: Para Número
-    human_description:
-      en_US: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890".
-      zh_Hans: 收件人的电话号码。WhatsApp消息前缀为'whatsapp:'，例如，"whatsapp:+1234567890"。
-      pt_BR: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890".
-    llm_description: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890".
-    form: llm
diff --git a/api/core/tools/provider/builtin/twilio/twilio.py b/api/core/tools/provider/builtin/twilio/twilio.py
deleted file mode 100644
index 649e03d185..0000000000
--- a/api/core/tools/provider/builtin/twilio/twilio.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from typing import Any
-
-from twilio.base.exceptions import TwilioRestException  # type: ignore
-from twilio.rest import Client  # type: ignore
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class TwilioProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            # Extract credentials
-            account_sid = credentials["account_sid"]
-            auth_token = credentials["auth_token"]
-            from_number = credentials["from_number"]
-
-            # Initialize twilio client
-            client = Client(account_sid, auth_token)
-
-            # fetch account
-            client.api.accounts(account_sid).fetch()
-
-        except TwilioRestException as e:
-            raise ToolProviderCredentialValidationError(f"Twilio API error: {e.msg}") from e
-        except KeyError as e:
-            raise ToolProviderCredentialValidationError(f"Missing required credential: {e}") from e
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/twilio/twilio.yaml b/api/core/tools/provider/builtin/twilio/twilio.yaml
deleted file mode 100644
index 21867c1da5..0000000000
--- a/api/core/tools/provider/builtin/twilio/twilio.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-identity:
-  author: Yash Parmar
-  name: twilio
-  label:
-    en_US: Twilio
-    zh_Hans: Twilio
-    pt_BR: Twilio
-  description:
-    en_US: Send messages through SMS or Twilio Messaging Channels.
-    zh_Hans: 通过SMS或Twilio消息通道发送消息。
-    pt_BR: Send messages through SMS or Twilio Messaging Channels.
-  icon: icon.svg
-  tags:
-    - social
-credentials_for_provider:
-  account_sid:
-    type: secret-input
-    required: true
-    label:
-      en_US: Account SID
-      zh_Hans: 账户SID
-      pt_BR: Account SID
-    placeholder:
-      en_US: Please input your Twilio Account SID
-      zh_Hans: 请输入您的Twilio账户SID
-      pt_BR: Please input your Twilio Account SID
-  auth_token:
-    type: secret-input
-    required: true
-    label:
-      en_US: Auth Token
-      zh_Hans: 认证令牌
-      pt_BR: Auth Token
-    placeholder:
-      en_US: Please input your Twilio Auth Token
-      zh_Hans: 请输入您的Twilio认证令牌
-      pt_BR: Please input your Twilio Auth Token
-  from_number:
-    type: secret-input
-    required: true
-    label:
-      en_US: From Number
-      zh_Hans: 发信号码
-      pt_BR: De Número
-    placeholder:
-      en_US: Please input your Twilio phone number
-      zh_Hans: 请输入您的Twilio电话号码
-      pt_BR: Please input your Twilio phone number
diff --git a/api/core/tools/provider/builtin/vanna/_assets/icon.png b/api/core/tools/provider/builtin/vanna/_assets/icon.png
deleted file mode 100644
index 3a9011b54d8a07f01e6b2fb934f3937bca0fd85a..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/api/core/tools/provider/builtin/vanna/tools/vanna.py b/api/core/tools/provider/builtin/vanna/tools/vanna.py
deleted file mode 100644
index a6afd2dddf..0000000000
--- a/api/core/tools/provider/builtin/vanna/tools/vanna.py
+++ /dev/null
@@ -1,134 +0,0 @@
-from typing import Any, Union
-
-from vanna.remote import VannaDefault  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class VannaTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # Ensure runtime and credentials
-        if not self.runtime or not self.runtime.credentials:
-            raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing")
-        api_key = self.runtime.credentials.get("api_key", None)
-        if not api_key:
-            raise ToolProviderCredentialValidationError("Please input api key")
-
-        model = tool_parameters.get("model", "")
-        if not model:
-            return self.create_text_message("Please input RAG model")
-
-        prompt = tool_parameters.get("prompt", "")
-        if not prompt:
-            return self.create_text_message("Please input prompt")
-
-        url = tool_parameters.get("url", "")
-        if not url:
-            return self.create_text_message("Please input URL/Host/DSN")
-
-        db_name = tool_parameters.get("db_name", "")
-        username = tool_parameters.get("username", "")
-        password = tool_parameters.get("password", "")
-        port = tool_parameters.get("port", 0)
-
-        base_url = self.runtime.credentials.get("base_url", None)
-        vn = VannaDefault(model=model, api_key=api_key, config={"endpoint": base_url})
-
-        db_type = tool_parameters.get("db_type", "")
-        if db_type in {"Postgres", "MySQL", "Hive", "ClickHouse"}:
-            if not db_name:
-                return self.create_text_message("Please input database name")
-            if not username:
-                return self.create_text_message("Please input username")
-            if port < 1:
-                return self.create_text_message("Please input port")
-
-        schema_sql = "SELECT * FROM INFORMATION_SCHEMA.COLUMNS"
-        match db_type:
-            case "SQLite":
-                schema_sql = "SELECT type, sql FROM sqlite_master WHERE sql is not null"
-                vn.connect_to_sqlite(url)
-            case "Postgres":
-                vn.connect_to_postgres(host=url, dbname=db_name, user=username, password=password, port=port)
-            case "DuckDB":
-                vn.connect_to_duckdb(url=url)
-            case "SQLServer":
-                vn.connect_to_mssql(url)
-            case "MySQL":
-                vn.connect_to_mysql(host=url, dbname=db_name, user=username, password=password, port=port)
-            case "Oracle":
-                vn.connect_to_oracle(user=username, password=password, dsn=url)
-            case "Hive":
-                vn.connect_to_hive(host=url, dbname=db_name, user=username, password=password, port=port)
-            case "ClickHouse":
-                vn.connect_to_clickhouse(host=url, dbname=db_name, user=username, password=password, port=port)
-
-        enable_training = tool_parameters.get("enable_training", False)
-        reset_training_data = tool_parameters.get("reset_training_data", False)
-        if enable_training:
-            if reset_training_data:
-                existing_training_data = vn.get_training_data()
-                if len(existing_training_data) > 0:
-                    for _, training_data in existing_training_data.iterrows():
-                        vn.remove_training_data(training_data["id"])
-
-            ddl = tool_parameters.get("ddl", "")
-            question = tool_parameters.get("question", "")
-            sql = tool_parameters.get("sql", "")
-            memos = tool_parameters.get("memos", "")
-            training_metadata = tool_parameters.get("training_metadata", False)
-
-            if training_metadata:
-                if db_type == "SQLite":
-                    df_ddl = vn.run_sql(schema_sql)
-                    for ddl in df_ddl["sql"].to_list():
-                        vn.train(ddl=ddl)
-                else:
-                    df_information_schema = vn.run_sql(schema_sql)
-                    plan = vn.get_training_plan_generic(df_information_schema)
-                    vn.train(plan=plan)
-
-            if ddl:
-                vn.train(ddl=ddl)
-
-            if sql:
-                if question:
-                    vn.train(question=question, sql=sql)
-                else:
-                    vn.train(sql=sql)
-            if memos:
-                vn.train(documentation=memos)
-
-        #########################################################################################
-        # Due to CVE-2024-5565, we have to disable the chart generation feature
-        # The Vanna library uses a prompt function to present the user with visualized results,
-        # it is possible to alter the prompt using prompt injection and run arbitrary Python code
-        # instead of the intended visualization code.
-        # Specifically - allowing external input to the library’s “ask” method
-        # with "visualize" set to True (default behavior) leads to remote code execution.
-        # Affected versions: <= 0.5.5
-        #########################################################################################
-        allow_llm_to_see_data = tool_parameters.get("allow_llm_to_see_data", False)
-        res = vn.ask(
-            prompt, print_results=False, auto_train=True, visualize=False, allow_llm_to_see_data=allow_llm_to_see_data
-        )
-
-        result = []
-
-        if res is not None:
-            result.append(self.create_text_message(res[0]))
-            if len(res) > 1 and res[1] is not None:
-                result.append(self.create_text_message(res[1].to_markdown()))
-            if len(res) > 2 and res[2] is not None:
-                result.append(
-                    self.create_blob_message(blob=res[2].to_image(format="svg"), meta={"mime_type": "image/svg+xml"})
-                )
-
-        return result
diff --git a/api/core/tools/provider/builtin/vanna/tools/vanna.yaml b/api/core/tools/provider/builtin/vanna/tools/vanna.yaml
deleted file mode 100644
index 309681321b..0000000000
--- a/api/core/tools/provider/builtin/vanna/tools/vanna.yaml
+++ /dev/null
@@ -1,213 +0,0 @@
-identity:
-  name: vanna
-  author: QCTC
-  label:
-    en_US: Vanna.AI
-    zh_Hans: Vanna.AI
-description:
-  human:
-    en_US: The fastest way to get actionable insights from your database just by asking questions.
-    zh_Hans: 一个基于大模型和RAG的Text2SQL工具。
-  llm: A tool for converting text to SQL.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-      pt_BR: Prompt
-    human_description:
-      en_US: used for generating SQL
-      zh_Hans: 用于生成SQL
-    llm_description: key words for generating SQL
-    form: llm
-  - name: model
-    type: string
-    required: true
-    label:
-      en_US: RAG Model
-      zh_Hans: RAG模型
-    human_description:
-      en_US: RAG Model for your database DDL
-      zh_Hans: 存储数据库训练数据的RAG模型
-    llm_description: RAG Model for generating SQL
-    form: llm
-  - name: db_type
-    type: select
-    required: true
-    options:
-      - value: SQLite
-        label:
-          en_US: SQLite
-          zh_Hans: SQLite
-      - value: Postgres
-        label:
-          en_US: Postgres
-          zh_Hans: Postgres
-      - value: DuckDB
-        label:
-          en_US: DuckDB
-          zh_Hans: DuckDB
-      - value: SQLServer
-        label:
-          en_US: Microsoft SQL Server
-          zh_Hans: 微软 SQL Server
-      - value: MySQL
-        label:
-          en_US: MySQL
-          zh_Hans: MySQL
-      - value: Oracle
-        label:
-          en_US: Oracle
-          zh_Hans: Oracle
-      - value: Hive
-        label:
-          en_US: Hive
-          zh_Hans: Hive
-      - value: ClickHouse
-        label:
-          en_US: ClickHouse
-          zh_Hans: ClickHouse
-    default: SQLite
-    label:
-      en_US: DB Type
-      zh_Hans: 数据库类型
-    human_description:
-      en_US: Database type.
-      zh_Hans: 选择要链接的数据库类型。
-    form: form
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: URL/Host/DSN
-      zh_Hans: URL/Host/DSN
-    human_description:
-      en_US: Please input depending on DB type, visit https://vanna.ai/docs/ for more specification
-      zh_Hans: 请根据数据库类型，填入对应值，详情参考https://vanna.ai/docs/
-    form: form
-  - name: db_name
-    type: string
-    required: false
-    label:
-      en_US: DB name
-      zh_Hans: 数据库名
-    human_description:
-      en_US: Database name
-      zh_Hans: 数据库名
-    form: form
-  - name: username
-    type: string
-    required: false
-    label:
-      en_US: Username
-      zh_Hans: 用户名
-    human_description:
-      en_US: Username
-      zh_Hans: 用户名
-    form: form
-  - name: password
-    type: secret-input
-    required: false
-    label:
-      en_US: Password
-      zh_Hans: 密码
-    human_description:
-      en_US: Password
-      zh_Hans: 密码
-    form: form
-  - name: port
-    type: number
-    required: false
-    label:
-      en_US: Port
-      zh_Hans: 端口
-    human_description:
-      en_US: Port
-      zh_Hans: 端口
-    form: form
-  - name: ddl
-    type: string
-    required: false
-    label:
-      en_US: Training DDL
-      zh_Hans: 训练DDL
-    human_description:
-      en_US: DDL statements for training data
-      zh_Hans: 用于训练RAG Model的建表语句
-    form: llm
-  - name: question
-    type: string
-    required: false
-    label:
-      en_US: Training Question
-      zh_Hans: 训练问题
-    human_description:
-      en_US: Question-SQL Pairs
-      zh_Hans: Question-SQL中的问题
-    form: llm
-  - name: sql
-    type: string
-    required: false
-    label:
-      en_US: Training SQL
-      zh_Hans: 训练SQL
-    human_description:
-      en_US: SQL queries to your training data
-      zh_Hans: 用于训练RAG Model的SQL语句
-    form: llm
-  - name: memos
-    type: string
-    required: false
-    label:
-      en_US: Training Memos
-      zh_Hans: 训练说明
-    human_description:
-      en_US: Sometimes you may want to add documentation about your business terminology or definitions
-      zh_Hans: 添加更多关于数据库的业务说明
-    form: llm
-  - name: enable_training
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Training Data
-      zh_Hans: 训练数据
-    human_description:
-      en_US: You only need to train once. Do not train again unless you want to add more training data
-      zh_Hans: 训练数据无更新时，训练一次即可
-    form: form
-  - name: reset_training_data
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Reset Training Data
-      zh_Hans: 重置训练数据
-    human_description:
-      en_US: Remove all training data in the current RAG Model
-      zh_Hans: 删除当前RAG Model中的所有训练数据
-    form: form
-  - name: training_metadata
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Training Metadata
-      zh_Hans: 训练元数据
-    human_description:
-      en_US: If enabled, it will attempt to train on the metadata of that database
-      zh_Hans: 是否自动从数据库获取元数据来训练
-    form: form
-  - name: allow_llm_to_see_data
-    type: boolean
-    required: false
-    default: false
-    label:
-      en_US: Whether to allow the LLM to see the data
-      zh_Hans: 是否允许LLM查看数据
-    human_description:
-      en_US: Whether to allow the LLM to see the data
-      zh_Hans: 是否允许LLM查看数据
-    form: form
diff --git a/api/core/tools/provider/builtin/vanna/vanna.py b/api/core/tools/provider/builtin/vanna/vanna.py
deleted file mode 100644
index 4f9cac2beb..0000000000
--- a/api/core/tools/provider/builtin/vanna/vanna.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import re
-from typing import Any
-from urllib.parse import urlparse
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.vanna.tools.vanna import VannaTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class VannaProvider(BuiltinToolProviderController):
-    def _get_protocol_and_main_domain(self, url):
-        parsed_url = urlparse(url)
-        protocol = parsed_url.scheme
-        hostname = parsed_url.hostname
-        port = f":{parsed_url.port}" if parsed_url.port else ""
-
-        # Check if the hostname is an IP address
-        is_ip = re.match(r"^\d{1,3}(\.\d{1,3}){3}$", hostname) is not None
-
-        # Return the full hostname (with port if present) for IP addresses, otherwise return the main domain
-        main_domain = f"{hostname}{port}" if is_ip else ".".join(hostname.split(".")[-2:]) + port
-        return f"{protocol}://{main_domain}"
-
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        base_url = credentials.get("base_url")
-        if not base_url:
-            base_url = "https://ask.vanna.ai/rpc"
-        else:
-            base_url = base_url.removesuffix("/")
-        credentials["base_url"] = base_url
-        try:
-            VannaTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "model": "chinook",
-                    "db_type": "SQLite",
-                    "url": f"{self._get_protocol_and_main_domain(credentials['base_url'])}/Chinook.sqlite",
-                    "query": "What are the top 10 customers by sales?",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/vanna/vanna.yaml b/api/core/tools/provider/builtin/vanna/vanna.yaml
deleted file mode 100644
index cf3fdca562..0000000000
--- a/api/core/tools/provider/builtin/vanna/vanna.yaml
+++ /dev/null
@@ -1,35 +0,0 @@
-identity:
-  author: QCTC
-  name: vanna
-  label:
-    en_US: Vanna.AI
-    zh_Hans: Vanna.AI
-  description:
-    en_US: The fastest way to get actionable insights from your database just by asking questions.
-    zh_Hans: 一个基于大模型和RAG的Text2SQL工具。
-  icon: icon.png
-  tags:
-    - utilities
-    - productivity
-credentials_for_provider:
-  api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: API key
-      zh_Hans: API key
-    placeholder:
-      en_US: Please input your API key
-      zh_Hans: 请输入你的 API key
-      pt_BR: Please input your API key
-    help:
-      en_US: Get your API key from Vanna.AI
-      zh_Hans: 从 Vanna.AI 获取你的 API key
-    url: https://vanna.ai/account/profile
-  base_url:
-    type: text-input
-    required: false
-    label:
-      en_US: Vanna.AI Endpoint Base URL
-    placeholder:
-      en_US: https://ask.vanna.ai/rpc
diff --git a/api/core/tools/provider/builtin/vectorizer/_assets/icon.png b/api/core/tools/provider/builtin/vectorizer/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py b/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py
deleted file mode 100644
index c722cd36c8..0000000000
--- a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py
+++ /dev/null
@@ -1,82 +0,0 @@
-from typing import Any, Union
-
-from httpx import post
-
-from core.file.enums import FileType
-from core.file.file_manager import download
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
-from core.tools.errors import ToolParameterValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class VectorizerTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        api_key_name = self.runtime.credentials.get("api_key_name")
-        api_key_value = self.runtime.credentials.get("api_key_value")
-        mode = tool_parameters.get("mode", "test")
-
-        # image file for workflow mode
-        image = tool_parameters.get("image")
-        if image and image.type != FileType.IMAGE:
-            raise ToolParameterValidationError("Not a valid image")
-        # image_id for agent mode
-        image_id = tool_parameters.get("image_id", "")
-
-        if image_id:
-            image_binary = self.get_variable_file(self.VariableKey.IMAGE)
-            if not image_binary:
-                return self.create_text_message("Image not found, please request user to generate image firstly.")
-        elif image:
-            image_binary = download(image)
-        else:
-            raise ToolParameterValidationError("Please provide either image or image_id")
-
-        response = post(
-            "https://vectorizer.ai/api/v1/vectorize",
-            data={"mode": mode},
-            files={"image": image_binary},
-            auth=(api_key_name, api_key_value),
-            timeout=30,
-        )
-
-        if response.status_code != 200:
-            raise Exception(response.text)
-
-        return [
-            self.create_text_message("the vectorized svg is saved as an image."),
-            self.create_blob_message(blob=response.content, meta={"mime_type": "image/svg+xml"}),
-        ]
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        """
-        override the runtime parameters
-        """
-        return [
-            ToolParameter.get_simple_instance(
-                name="image_id",
-                llm_description=f"the image_id that you want to vectorize, \
-                    and the image_id should be specified in \
-                        {[i.name for i in self.list_default_image_variables()]}",
-                type=ToolParameter.ToolParameterType.SELECT,
-                required=False,
-                options=[i.name for i in self.list_default_image_variables()],
-            ),
-            ToolParameter(
-                name="image",
-                label=I18nObject(en_US="image", zh_Hans="image"),
-                human_description=I18nObject(
-                    en_US="The image to be converted.",
-                    zh_Hans="要转换的图片。",
-                ),
-                type=ToolParameter.ToolParameterType.FILE,
-                form=ToolParameter.ToolParameterForm.LLM,
-                llm_description="you should not input this parameter. just input the image_id.",
-                required=False,
-            ),
-        ]
diff --git a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml b/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml
deleted file mode 100644
index 0afd1c201f..0000000000
--- a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-identity:
-  name: vectorizer
-  author: Dify
-  label:
-    en_US: Vectorizer.AI
-    zh_Hans: Vectorizer.AI
-description:
-  human:
-    en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
-    zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。
-  llm: A tool for converting images to SVG vectors. you should input the image id as the input of this tool. the image id can be got from parameters.
-parameters:
-  - name: image
-    type: file
-    label:
-      en_US: image
-    human_description:
-      en_US: The image to be converted.
-      zh_Hans: 要转换的图片。
-    llm_description: you should not input this parameter. just input the image_id.
-    form: llm
-  - name: mode
-    type: select
-    required: true
-    options:
-      - value: production
-        label:
-          en_US: production
-          zh_Hans: 生产模式
-      - value: test
-        label:
-          en_US: test
-          zh_Hans: 测试模式
-    default: test
-    label:
-      en_US: Mode
-      zh_Hans: 模式
-    human_description:
-      en_US: It is free to integrate with and test out the API in test mode, no subscription required.
-      zh_Hans: 在测试模式下，可以免费测试API。
-    form: form
diff --git a/api/core/tools/provider/builtin/vectorizer/vectorizer.py b/api/core/tools/provider/builtin/vectorizer/vectorizer.py
deleted file mode 100644
index 9d7613f8ea..0000000000
--- a/api/core/tools/provider/builtin/vectorizer/vectorizer.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from typing import Any
-
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class VectorizerProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        return
diff --git a/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml b/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml
deleted file mode 100644
index 94dae20876..0000000000
--- a/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml
+++ /dev/null
@@ -1,39 +0,0 @@
-identity:
-  author: Dify
-  name: vectorizer
-  label:
-    en_US: Vectorizer.AI
-    zh_Hans: Vectorizer.AI
-  description:
-    en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI.
-    zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。
-  icon: icon.png
-  tags:
-    - productivity
-    - image
-credentials_for_provider:
-  api_key_name:
-    type: secret-input
-    required: true
-    label:
-      en_US: Vectorizer.AI API Key name
-      zh_Hans: Vectorizer.AI API Key name
-    placeholder:
-      en_US: Please input your Vectorizer.AI ApiKey name
-      zh_Hans: 请输入你的 Vectorizer.AI ApiKey name
-    help:
-      en_US: Get your Vectorizer.AI API Key from Vectorizer.AI.
-      zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。
-    url: https://vectorizer.ai/api
-  api_key_value:
-    type: secret-input
-    required: true
-    label:
-      en_US: Vectorizer.AI API Key
-      zh_Hans: Vectorizer.AI API Key
-    placeholder:
-      en_US: Please input your Vectorizer.AI ApiKey
-      zh_Hans: 请输入你的 Vectorizer.AI ApiKey
-    help:
-      en_US: Get your Vectorizer.AI API Key from Vectorizer.AI.
-      zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。
diff --git a/api/core/tools/provider/builtin/webscraper/webscraper.py b/api/core/tools/provider/builtin/webscraper/webscraper.py
deleted file mode 100644
index 3c51393ac6..0000000000
--- a/api/core/tools/provider/builtin/webscraper/webscraper.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.webscraper.tools.webscraper import WebscraperTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class WebscraperProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            WebscraperTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "url": "https://www.google.com",
-                    "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/websearch/_assets/icon.svg b/api/core/tools/provider/builtin/websearch/_assets/icon.svg
deleted file mode 100644
index d6ef5d878f..0000000000
--- a/api/core/tools/provider/builtin/websearch/_assets/icon.svg
+++ /dev/null
@@ -1,23 +0,0 @@
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
-	 width="100%" viewBox="0 0 176 323" enable-background="new 0 0 176 323" xml:space="preserve">
-<path fill="#F03F30" opacity="1.000000" stroke="none"
-	d="
-M41.044968,257.626282
-	C27.696184,236.155075 31.957315,212.441483 52.045750,197.344925
-	C79.002586,177.086716 106.149689,157.081665 133.645813,136.647858
-	C139.760117,144.272156 142.374191,152.876511 142.340073,162.386032
-	C142.284485,177.881165 135.226303,189.665787 122.998329,198.722351
-	C97.096687,217.906250 71.232124,237.140259 45.308189,256.293945
-	C44.162773,257.140198 42.580475,257.395203 41.044968,257.626282
-z"/>
-<path fill="#F03F30" opacity="1.000000" stroke="none"
-	d="
-M99.096405,138.076599
-	C79.500099,152.629852 60.200359,166.985321 40.905945,181.336838
-	C27.259842,163.327515 29.469128,137.268982 46.741867,123.517693
-	C67.654190,106.868828 89.408379,91.276695 110.817230,75.252617
-	C117.976021,69.894424 125.193146,64.614182 132.376923,59.303246
-	C147.358932,78.560143 142.926590,105.166771 122.208939,120.964401
-	C114.681282,126.704391 107.002701,132.246460 99.096405,138.076599
-z"/>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/websearch/tools/get_markdown.py b/api/core/tools/provider/builtin/websearch/tools/get_markdown.py
deleted file mode 100644
index 043879deea..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/get_markdown.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from typing import Any, Union
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-BASE_URL = "https://api.serply.io/v1/request"
-
-
-class SerplyApi:
-    """
-    SerplyAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SerplyAPI tool provider."""
-        self.serply_api_key = api_key
-
-    def run(self, url: str, **kwargs: Any) -> str:
-        """Run query through SerplyAPI and parse result."""
-
-        location = kwargs.get("location", "US")
-
-        headers = {
-            "X-API-KEY": self.serply_api_key,
-            "X-User-Agent": kwargs.get("device", "desktop"),
-            "X-Proxy-Location": location,
-            "User-Agent": "Dify",
-        }
-        data = {"url": url, "method": "GET", "response_type": "markdown"}
-        res = requests.post(url, headers=headers, json=data)
-        return res.text
-
-
-class GetMarkdownTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SerplyApi tool.
-        """
-        url = tool_parameters["url"]
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["serply_api_key"]
-        result = SerplyApi(api_key).run(url, location=location)
-
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml b/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml
deleted file mode 100644
index 06a302bd14..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml
+++ /dev/null
@@ -1,96 +0,0 @@
-identity:
-  name: get_markdown
-  author: Dify
-  label:
-    en_US: Get Markdown API
-    zh_Hans: Get Markdown API
-description:
-  human:
-    en_US: A tool to perform convert a webpage to markdown to make it easier for LLMs to understand.
-    zh_Hans: 一个将网页转换为 Markdown 的工具，以便模型更容易理解
-  llm: A tool to perform convert a webpage to markdown to make it easier for LLMs to understand.
-parameters:
-  - name: url
-    type: string
-    required: true
-    label:
-      en_US: URL
-      zh_Hans: URL
-    human_description:
-      en_US: URL that you want to grab the content from
-      zh_Hans: 您要从中获取内容的 URL
-    llm_description: Defines the link want to grab content from.
-    form: llm
-  - name: location
-    type: string
-    required: false
-    default: US
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: form
-    options:
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
diff --git a/api/core/tools/provider/builtin/websearch/tools/job_search.py b/api/core/tools/provider/builtin/websearch/tools/job_search.py
deleted file mode 100644
index 13eb403391..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/job_search.py
+++ /dev/null
@@ -1,88 +0,0 @@
-from typing import Any, Union
-from urllib.parse import urlencode
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-BASE_URL = "https://api.serply.io/v1/news/"
-
-
-class SerplyApi:
-    """
-    SerplyAPI tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SerplyAPI tool provider."""
-        self.serply_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SerplyAPI and parse result."""
-        params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)}
-        location = kwargs.get("location", "US")
-
-        headers = {
-            "X-API-KEY": self.serply_api_key,
-            "X-User-Agent": kwargs.get("device", "desktop"),
-            "X-Proxy-Location": location,
-            "User-Agent": "Dify",
-        }
-
-        url = f"{BASE_URL}{urlencode(params)}"
-        res = requests.get(
-            url,
-            headers=headers,
-        )
-        res = res.json()
-
-        return self.parse_results(res)
-
-    @staticmethod
-    def parse_results(res: dict) -> str:
-        """Process response from Serply Job Search."""
-        jobs = res.get("jobs", [])
-        if not res or "jobs" not in res:
-            raise ValueError(f"Got error from Serply: {res}")
-
-        string = []
-        for job in jobs[:10]:
-            try:
-                string.append(
-                    "\n".join(
-                        [
-                            f"Position: {job['position']}",
-                            f"Employer: {job['employer']}",
-                            f"Location: {job['location']}",
-                            f"Link: {job['link']}",
-                            f"""Highest: {", ".join(list(job["highlights"]))}""",
-                            "---",
-                        ]
-                    )
-                )
-            except KeyError:
-                continue
-
-        content = "\n".join(string)
-        return f"\nJobs results:\n {content}\n"
-
-
-class JobSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SerplyApi tool.
-        """
-        query = tool_parameters["query"]
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["serply_api_key"]
-        result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location)
-
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/websearch/tools/job_search.yaml b/api/core/tools/provider/builtin/websearch/tools/job_search.yaml
deleted file mode 100644
index b5ede3df46..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/job_search.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-identity:
-  name: job_search
-  author: Dify
-  label:
-    en_US: Job Search API
-    zh_Hans: Job Search API
-description:
-  human:
-    en_US: A tool to retrieve job titles, company names and description from Google Jobs engine.
-    zh_Hans: 一个从 Google 招聘引擎检索职位名称、公司名称和描述的工具。
-  llm: A tool to retrieve job titles, company names and description from Google Jobs engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: location
-    type: string
-    required: false
-    default: US
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: form
-    options:
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
diff --git a/api/core/tools/provider/builtin/websearch/tools/news_search.py b/api/core/tools/provider/builtin/websearch/tools/news_search.py
deleted file mode 100644
index 7a8a732ff3..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/news_search.py
+++ /dev/null
@@ -1,90 +0,0 @@
-from typing import Any, Union
-from urllib.parse import urlencode
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-BASE_URL = "https://api.serply.io/v1/news/"
-
-
-class SerplyApi:
-    """
-    SerplyApi tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SerplyApi tool provider."""
-        self.serply_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SerplyApi and parse result."""
-        params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)}
-        location = kwargs.get("location", "US")
-
-        headers = {
-            "X-API-KEY": self.serply_api_key,
-            "X-User-Agent": kwargs.get("device", "desktop"),
-            "X-Proxy-Location": location,
-            "User-Agent": "Dify",
-        }
-
-        url = f"{BASE_URL}{urlencode(params)}"
-        res = requests.get(
-            url,
-            headers=headers,
-        )
-        res = res.json()
-
-        return self.parse_results(res)
-
-    @staticmethod
-    def parse_results(res: dict) -> str:
-        """Process response from Serply News Search."""
-        news = res.get("entries", [])
-        if not res or "entries" not in res:
-            raise ValueError(f"Got error from Serply: {res}")
-
-        string = []
-        for entry in news:
-            try:
-                # follow url
-                r = requests.get(entry["link"])
-                final_link = r.history[-1].headers["Location"]
-                string.append(
-                    "\n".join(
-                        [
-                            f"Title: {entry['title']}",
-                            f"Link: {final_link}",
-                            f"Source: {entry['source']['title']}",
-                            f"Published: {entry['published']}",
-                            "---",
-                        ]
-                    )
-                )
-            except KeyError:
-                continue
-
-        content = "\n".join(string)
-        return f"\nNews:\n {content}\n"
-
-
-class NewsSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SerplyApi tool.
-        """
-        query = tool_parameters["query"]
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["serply_api_key"]
-        result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location)
-
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/websearch/tools/news_search.yaml b/api/core/tools/provider/builtin/websearch/tools/news_search.yaml
deleted file mode 100644
index 126c610825..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/news_search.yaml
+++ /dev/null
@@ -1,501 +0,0 @@
-identity:
-  name: news_search
-  author: Dify
-  label:
-    en_US: News Search API
-    zh_Hans: News Search API
-description:
-  human:
-    en_US: A tool to retrieve organic search results snippets and links from Google News engine.
-    zh_Hans: 一种从 Google 新闻引擎检索有机搜索结果片段和链接的工具。
-  llm: A tool to retrieve organic search results snippets and links from Google News engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: location
-    type: string
-    required: false
-    default: US
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: form
-    options:
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家/地区
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: AR
-        label:
-          en_US: Argentina
-          zh_Hans: 阿根廷
-          pt_BR: Argentina
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Austria
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Belgium
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colombia
-      - value: CN
-        label:
-          en_US: China
-          zh_Hans: 中国
-          pt_BR: China
-      - value: CZ
-        label:
-          en_US: Czech Republic
-          zh_Hans: 捷克共和国
-          pt_BR: Czech Republic
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Denmark
-      - value: FI
-        label:
-          en_US: Finland
-          zh_Hans: 芬兰
-          pt_BR: Finland
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonesia
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Italy
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malaysia
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: Mexico
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Netherlands
-      - value: NZ
-        label:
-          en_US: New Zealand
-          zh_Hans: 新西兰
-          pt_BR: New Zealand
-      - value: NO
-        label:
-          en_US: Norway
-          zh_Hans: 挪威
-          pt_BR: Norway
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Philippines
-      - value: PL
-        label:
-          en_US: Poland
-          zh_Hans: 波兰
-          pt_BR: Poland
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: RU
-        label:
-          en_US: Russia
-          zh_Hans: 俄罗斯
-          pt_BR: Russia
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Saudi Arabia
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: South Africa
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Spain
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Switzerland
-      - value: TW
-        label:
-          en_US: Taiwan
-          zh_Hans: 台湾
-          pt_BR: Taiwan
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Thailand
-      - value: TR
-        label:
-          en_US: Turkey
-          zh_Hans: 土耳其
-          pt_BR: Turkey
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
diff --git a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py b/api/core/tools/provider/builtin/websearch/tools/scholar_search.py
deleted file mode 100644
index 32c5d39e5b..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py
+++ /dev/null
@@ -1,93 +0,0 @@
-from typing import Any, Union
-from urllib.parse import urlencode
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-BASE_URL = "https://api.serply.io/v1/scholar/"
-
-
-class SerplyApi:
-    """
-    SerplyApi tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize SerplyApi tool provider."""
-        self.serply_api_key = api_key
-
-    def run(self, query: str, **kwargs: Any) -> str:
-        """Run query through SerplyApi and parse result."""
-        params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)}
-        location = kwargs.get("location", "US")
-
-        headers = {
-            "X-API-KEY": self.serply_api_key,
-            "X-User-Agent": kwargs.get("device", "desktop"),
-            "X-Proxy-Location": location,
-            "User-Agent": "Dify",
-        }
-
-        url = f"{BASE_URL}{urlencode(params)}"
-        res = requests.get(
-            url,
-            headers=headers,
-        )
-        res = res.json()
-
-        return self.parse_results(res)
-
-    @staticmethod
-    def parse_results(res: dict) -> str:
-        """Process response from Serply News Search."""
-        articles = res.get("articles", [])
-        if not res or "articles" not in res:
-            raise ValueError(f"Got error from Serply: {res}")
-
-        string = []
-        for article in articles:
-            try:
-                if "doc" in article:
-                    link = article["doc"]["link"]
-                else:
-                    link = article["link"]
-                authors = [author["name"] for author in article["author"]["authors"]]
-                string.append(
-                    "\n".join(
-                        [
-                            f"Title: {article['title']}",
-                            f"Link: {link}",
-                            f"Description: {article['description']}",
-                            f"Cite: {article['cite']}",
-                            f"Authors: {', '.join(authors)}",
-                            "---",
-                        ]
-                    )
-                )
-            except KeyError:
-                continue
-
-        content = "\n".join(string)
-        return f"\nScholar results:\n {content}\n"
-
-
-class ScholarSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SerplyApi tool.
-        """
-        query = tool_parameters["query"]
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location")
-
-        api_key = self.runtime.credentials["serply_api_key"]
-        result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location)
-
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml b/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml
deleted file mode 100644
index 63e79d7ebf..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml
+++ /dev/null
@@ -1,501 +0,0 @@
-identity:
-  name: scholar_search
-  author: Dify
-  label:
-    en_US: Scholar API
-    zh_Hans: Scholar API
-description:
-  human:
-    en_US: A tool to retrieve scholarly literature.
-    zh_Hans: 学术文献检索工具
-  llm: A tool to retrieve scholarly literature.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: location
-    type: string
-    required: false
-    default: US
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: form
-    options:
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家/地区
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: AR
-        label:
-          en_US: Argentina
-          zh_Hans: 阿根廷
-          pt_BR: Argentina
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: AT
-        label:
-          en_US: Austria
-          zh_Hans: 奥地利
-          pt_BR: Austria
-      - value: BE
-        label:
-          en_US: Belgium
-          zh_Hans: 比利时
-          pt_BR: Belgium
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: CL
-        label:
-          en_US: Chile
-          zh_Hans: 智利
-          pt_BR: Chile
-      - value: CO
-        label:
-          en_US: Colombia
-          zh_Hans: 哥伦比亚
-          pt_BR: Colombia
-      - value: CN
-        label:
-          en_US: China
-          zh_Hans: 中国
-          pt_BR: China
-      - value: CZ
-        label:
-          en_US: Czech Republic
-          zh_Hans: 捷克共和国
-          pt_BR: Czech Republic
-      - value: DK
-        label:
-          en_US: Denmark
-          zh_Hans: 丹麦
-          pt_BR: Denmark
-      - value: FI
-        label:
-          en_US: Finland
-          zh_Hans: 芬兰
-          pt_BR: Finland
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: HK
-        label:
-          en_US: Hong Kong
-          zh_Hans: 香港
-          pt_BR: Hong Kong
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: ID
-        label:
-          en_US: Indonesia
-          zh_Hans: 印度尼西亚
-          pt_BR: Indonesia
-      - value: IT
-        label:
-          en_US: Italy
-          zh_Hans: 意大利
-          pt_BR: Italy
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: MY
-        label:
-          en_US: Malaysia
-          zh_Hans: 马来西亚
-          pt_BR: Malaysia
-      - value: MX
-        label:
-          en_US: Mexico
-          zh_Hans: 墨西哥
-          pt_BR: Mexico
-      - value: NL
-        label:
-          en_US: Netherlands
-          zh_Hans: 荷兰
-          pt_BR: Netherlands
-      - value: NZ
-        label:
-          en_US: New Zealand
-          zh_Hans: 新西兰
-          pt_BR: New Zealand
-      - value: "NO"
-        label:
-          en_US: Norway
-          zh_Hans: 挪威
-          pt_BR: Norway
-      - value: PH
-        label:
-          en_US: Philippines
-          zh_Hans: 菲律宾
-          pt_BR: Philippines
-      - value: PL
-        label:
-          en_US: Poland
-          zh_Hans: 波兰
-          pt_BR: Poland
-      - value: PT
-        label:
-          en_US: Portugal
-          zh_Hans: 葡萄牙
-          pt_BR: Portugal
-      - value: RU
-        label:
-          en_US: Russia
-          zh_Hans: 俄罗斯
-          pt_BR: Russia
-      - value: SA
-        label:
-          en_US: Saudi Arabia
-          zh_Hans: 沙特阿拉伯
-          pt_BR: Saudi Arabia
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: ZA
-        label:
-          en_US: South Africa
-          zh_Hans: 南非
-          pt_BR: South Africa
-      - value: ES
-        label:
-          en_US: Spain
-          zh_Hans: 西班牙
-          pt_BR: Spain
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-      - value: CH
-        label:
-          en_US: Switzerland
-          zh_Hans: 瑞士
-          pt_BR: Switzerland
-      - value: TW
-        label:
-          en_US: Taiwan
-          zh_Hans: 台湾
-          pt_BR: Taiwan
-      - value: TH
-        label:
-          en_US: Thailand
-          zh_Hans: 泰国
-          pt_BR: Thailand
-      - value: TR
-        label:
-          en_US: Turkey
-          zh_Hans: 土耳其
-          pt_BR: Turkey
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
diff --git a/api/core/tools/provider/builtin/websearch/tools/web_search.py b/api/core/tools/provider/builtin/websearch/tools/web_search.py
deleted file mode 100644
index d0e93cb0fa..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/web_search.py
+++ /dev/null
@@ -1,90 +0,0 @@
-import typing
-from urllib.parse import urlencode
-
-import requests
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class SerplyApi:
-    """
-    SerplyApi tool provider.
-    """
-
-    def __init__(self, api_key: str) -> None:
-        """Initialize Serply Web Search Tool provider."""
-        self.serply_api_key = api_key
-        self.base_url = "https://api.serply.io/v1/search/"
-
-    def run(self, query: str, **kwargs: typing.Any) -> str:
-        """Run query through Serply and parse result."""
-        params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)}
-        location = kwargs.get("location", "US")
-
-        headers = {
-            "X-API-KEY": self.serply_api_key,
-            "X-User-Agent": kwargs.get("device", "desktop"),
-            "X-Proxy-Location": location,
-            "User-Agent": "Dify",
-        }
-
-        url = f"{self.base_url}{urlencode(params)}"
-        res = requests.get(
-            url,
-            headers=headers,
-        )
-        res = res.json()
-
-        return self.parse_results(res)
-
-    @staticmethod
-    def parse_results(res: dict) -> str:
-        """Process response from Serply Web Search."""
-        results = res.get("results", [])
-        if not res or "results" not in res:
-            raise ValueError(f"Got error from Serply: {res}")
-
-        string = []
-        for result in results:
-            try:
-                string.append(
-                    "\n".join(
-                        [
-                            f"Title: {result['title']}",
-                            f"Link: {result['link']}",
-                            f"Description: {result['description'].strip()}",
-                            "---",
-                        ]
-                    )
-                )
-            except KeyError:
-                continue
-
-        if related_questions := res.get("related_questions", []):
-            string.append("---")
-            string.append("Related Questions: ")
-            string.append("\n".join(related_questions))
-
-        content = "\n".join(string)
-        return f"\nSearch results:\n {content}\n"
-
-
-class WebSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, typing.Any],
-    ) -> typing.Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        Invoke the SerplyApi tool.
-        """
-        query = tool_parameters["query"]
-        num = tool_parameters.get("num", 10)
-        gl = tool_parameters.get("gl", "us")
-        hl = tool_parameters.get("hl", "en")
-        location = tool_parameters.get("location", "None")
-
-        api_key = self.runtime.credentials["serply_api_key"]
-        result = SerplyApi(api_key).run(query=query, num=num, gl=gl, hl=hl, location=location)
-        return self.create_text_message(text=result)
diff --git a/api/core/tools/provider/builtin/websearch/tools/web_search.yaml b/api/core/tools/provider/builtin/websearch/tools/web_search.yaml
deleted file mode 100644
index 055029253c..0000000000
--- a/api/core/tools/provider/builtin/websearch/tools/web_search.yaml
+++ /dev/null
@@ -1,376 +0,0 @@
-identity:
-  name: web_search
-  author: Dify
-  label:
-    en_US: Web Search API
-    zh_Hans: Web Search API
-description:
-  human:
-    en_US: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine.
-    zh_Hans: 一种从 Google 搜索引擎检索答案框、知识图、片段和网页的工具。
-  llm: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines the query you want to search.
-      zh_Hans: 定义您要搜索的查询。
-    llm_description: Defines the search query you want to search.
-    form: llm
-  - name: location
-    type: string
-    required: false
-    default: US
-    label:
-      en_US: Location
-      zh_Hans: 询问
-    human_description:
-      en_US: Defines from where you want the search to originate. (For example - New York)
-      zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约）
-    llm_description: Defines from where you want the search to originate. (For example - New York)
-    form: form
-    options:
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-      - value: JP
-        label:
-          en_US: Japan
-          zh_Hans: 日本
-          pt_BR: Japan
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-  - name: device
-    type: select
-    label:
-      en_US: Device Type
-      zh_Hans: 汉斯先生
-    human_description:
-      en_US: Defines the device to make interface search. Default is "desktop".
-      zh_Hans: 定义进行接口搜索的设备。默认为“桌面”
-    required: false
-    default: desktop
-    form: form
-    options:
-      - value: desktop
-        label:
-          en_US: Desktop
-          zh_Hans: 桌面
-      - value: mobile
-        label:
-          en_US: Mobile
-          zh_Hans: 移动的
-  - name: gl
-    type: select
-    label:
-      en_US: Country
-      zh_Hans: 国家/地区
-    required: false
-    human_description:
-      en_US: Defines the country of the search. Default is "US".
-      zh_Hans: 定义搜索的国家/地区。默认为“美国”。
-    llm_description: Defines the gl parameter of the Google search.
-    form: form
-    default: US
-    options:
-      - value: AU
-        label:
-          en_US: Australia
-          zh_Hans: 澳大利亚
-          pt_BR: Australia
-      - value: BR
-        label:
-          en_US: Brazil
-          zh_Hans: 巴西
-          pt_BR: Brazil
-      - value: CA
-        label:
-          en_US: Canada
-          zh_Hans: 加拿大
-          pt_BR: Canada
-      - value: DE
-        label:
-          en_US: Germany
-          zh_Hans: 德国
-          pt_BR: Germany
-      - value: FR
-        label:
-          en_US: France
-          zh_Hans: 法国
-          pt_BR: France
-      - value: GB
-        label:
-          en_US: United Kingdom
-          zh_Hans: 英国
-          pt_BR: United Kingdom
-      - value: IN
-        label:
-          en_US: India
-          zh_Hans: 印度
-          pt_BR: India
-      - value: KR
-        label:
-          en_US: Korea
-          zh_Hans: 韩国
-          pt_BR: Korea
-      - value: SE
-        label:
-          en_US: Sweden
-          zh_Hans: 瑞典
-          pt_BR: Sweden
-      - value: SG
-        label:
-          en_US: Singapore
-          zh_Hans: 新加坡
-          pt_BR: Singapore
-      - value: US
-        label:
-          en_US: United States
-          zh_Hans: 美国
-          pt_BR: United States
-  - name: hl
-    type: select
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: Defines the interface language of the search. Default is "en".
-      zh_Hans: 定义搜索的界面语言。默认为“en”。
-    required: false
-    default: en
-    form: form
-    options:
-      - value: ar
-        label:
-          en_US: Arabic
-          zh_Hans: 阿拉伯语
-      - value: bg
-        label:
-          en_US: Bulgarian
-          zh_Hans: 保加利亚语
-      - value: ca
-        label:
-          en_US: Catalan
-          zh_Hans: 加泰罗尼亚语
-      - value: zh-cn
-        label:
-          en_US: Chinese (Simplified)
-          zh_Hans: 中文（简体）
-      - value: zh-tw
-        label:
-          en_US: Chinese (Traditional)
-          zh_Hans: 中文（繁体）
-      - value: cs
-        label:
-          en_US: Czech
-          zh_Hans: 捷克语
-      - value: da
-        label:
-          en_US: Danish
-          zh_Hans: 丹麦语
-      - value: nl
-        label:
-          en_US: Dutch
-          zh_Hans: 荷兰语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: et
-        label:
-          en_US: Estonian
-          zh_Hans: 爱沙尼亚语
-      - value: fi
-        label:
-          en_US: Finnish
-          zh_Hans: 芬兰语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: el
-        label:
-          en_US: Greek
-          zh_Hans: 希腊语
-      - value: iw
-        label:
-          en_US: Hebrew
-          zh_Hans: 希伯来语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: hu
-        label:
-          en_US: Hungarian
-          zh_Hans: 匈牙利语
-      - value: id
-        label:
-          en_US: Indonesian
-          zh_Hans: 印尼语
-      - value: it
-        label:
-          en_US: Italian
-          zh_Hans: 意大利语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: kn
-        label:
-          en_US: Kannada
-          zh_Hans: 卡纳达语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: lv
-        label:
-          en_US: Latvian
-          zh_Hans: 拉脱维亚语
-      - value: lt
-        label:
-          en_US: Lithuanian
-          zh_Hans: 立陶宛语
-      - value: my
-        label:
-          en_US: Malay
-          zh_Hans: 马来语
-      - value: ml
-        label:
-          en_US: Malayalam
-          zh_Hans: 马拉雅拉姆语
-      - value: mr
-        label:
-          en_US: Marathi
-          zh_Hans: 马拉地语
-      - value: "no"
-        label:
-          en_US: Norwegian
-          zh_Hans: 挪威语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt-br
-        label:
-          en_US: Portuguese (Brazil)
-          zh_Hans: 葡萄牙语（巴西）
-      - value: pt-pt
-        label:
-          en_US: Portuguese (Portugal)
-          zh_Hans: 葡萄牙语（葡萄牙）
-      - value: pa
-        label:
-          en_US: Punjabi
-          zh_Hans: 旁遮普语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: ru
-        label:
-          en_US: Russian
-          zh_Hans: 俄语
-      - value: sr
-        label:
-          en_US: Serbian
-          zh_Hans: 塞尔维亚语
-      - value: sk
-        label:
-          en_US: Slovak
-          zh_Hans: 斯洛伐克语
-      - value: sl
-        label:
-          en_US: Slovenian
-          zh_Hans: 斯洛文尼亚语
-      - value: es
-        label:
-          en_US: Spanish
-          zh_Hans: 西班牙语
-      - value: sv
-        label:
-          en_US: Swedish
-          zh_Hans: 瑞典语
-      - value: ta
-        label:
-          en_US: Tamil
-          zh_Hans: 泰米尔语
-      - value: te
-        label:
-          en_US: Telugu
-          zh_Hans: 泰卢固语
-      - value: th
-        label:
-          en_US: Thai
-          zh_Hans: 泰语
-      - value: tr
-        label:
-          en_US: Turkish
-          zh_Hans: 土耳其语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
diff --git a/api/core/tools/provider/builtin/websearch/websearch.py b/api/core/tools/provider/builtin/websearch/websearch.py
deleted file mode 100644
index 90cc0c573a..0000000000
--- a/api/core/tools/provider/builtin/websearch/websearch.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.websearch.tools.web_search import WebSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class WebSearchAPIProvider(BuiltinToolProviderController):
-    # validate when saving the api_key
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            WebSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={"query": "what is llm"},
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/websearch/websearch.yaml b/api/core/tools/provider/builtin/websearch/websearch.yaml
deleted file mode 100644
index c4267e1022..0000000000
--- a/api/core/tools/provider/builtin/websearch/websearch.yaml
+++ /dev/null
@@ -1,34 +0,0 @@
-identity:
-  name: websearch
-  author: Serply.io
-  label:
-    en_US: Serply.io
-    zh_Hans: Serply.io
-    pt_BR: Serply.io
-  description:
-    en_US: Serply.io is a robust real-time SERP API delivering structured data from a collection of search engines including Web Search, Jobs, News, and many more.
-    zh_Hans: Serply.io 是一个强大的实时 SERP API，可提供来自 搜索 招聘 新闻等搜索引擎集合的结构化数据。
-    pt_BR: Serply.io is a robust real-time SERP API delivering structured data from a collection of search engines including Web Search, Jobs, News, and many more.
-  icon: icon.svg
-  tags:
-    - search
-    - business
-    - news
-    - productivity
-credentials_for_provider:
-  serply_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Serply.io API key
-      zh_Hans: Serply.io API key
-      pt_BR: Serply.io API key
-    placeholder:
-      en_US: Please input your Serply.io API key
-      zh_Hans: 请输入你的 Serply.io API key
-      pt_BR: Please input your Serply.io API key
-    help:
-      en_US: Get your Serply.io API key from https://Serply.io/
-      zh_Hans: 从 Serply.io 获取您的 Serply.io API key
-      pt_BR: Get your Serply.io API key from Serply.io
-    url: https://Serply.io/
diff --git a/api/core/tools/provider/builtin/wecom/_assets/icon.png b/api/core/tools/provider/builtin/wecom/_assets/icon.png
deleted file mode 100644
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diff --git a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.py b/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.py
deleted file mode 100644
index 545d9f4f8d..0000000000
--- a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from typing import Any, Union
-
-import httpx
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.utils.uuid_utils import is_valid_uuid
-
-
-class WecomGroupBotTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        content = tool_parameters.get("content", "")
-        if not content:
-            return self.create_text_message("Invalid parameter content")
-
-        hook_key = tool_parameters.get("hook_key", "")
-        if not is_valid_uuid(hook_key):
-            return self.create_text_message(f"Invalid parameter hook_key ${hook_key}, not a valid UUID")
-
-        message_type = tool_parameters.get("message_type", "text")
-        if message_type == "markdown":
-            payload = {
-                "msgtype": "markdown",
-                "markdown": {
-                    "content": content,
-                },
-            }
-        else:
-            payload = {
-                "msgtype": "text",
-                "text": {
-                    "content": content,
-                },
-            }
-        api_url = "https://qyapi.weixin.qq.com/cgi-bin/webhook/send"
-        headers = {
-            "Content-Type": "application/json",
-        }
-        params = {
-            "key": hook_key,
-        }
-
-        try:
-            res = httpx.post(api_url, headers=headers, params=params, json=payload)
-            if res.is_success:
-                return self.create_text_message("Text message sent successfully")
-            else:
-                return self.create_text_message(
-                    f"Failed to send the text message, status code: {res.status_code}, response: {res.text}"
-                )
-        except Exception as e:
-            return self.create_text_message("Failed to send message to group chat bot. {}".format(e))
diff --git a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml b/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml
deleted file mode 100644
index 379005a102..0000000000
--- a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-identity:
-  name: wecom_group_bot
-  author: Bowen Liang
-  label:
-    en_US: Send Group Message
-    zh_Hans: 发送群消息
-    pt_BR: Send Group Message
-  icon: icon.svg
-description:
-  human:
-    en_US: Sending a group message on Wecom via the webhook of group bot
-    zh_Hans: 通过企业微信的群机器人webhook发送群消息
-    pt_BR: Sending a group message on Wecom via the webhook of group bot
-  llm: A tool for sending messages to a chat group on Wecom(企业微信) .
-parameters:
-  - name: hook_key
-    type: secret-input
-    required: true
-    label:
-      en_US: Wecom Group bot webhook key
-      zh_Hans: 群机器人webhook的key
-      pt_BR: Wecom Group bot webhook key
-    human_description:
-      en_US: Wecom Group bot webhook key
-      zh_Hans: 群机器人webhook的key
-      pt_BR: Wecom Group bot webhook key
-    form: form
-  - name: content
-    type: string
-    required: true
-    label:
-      en_US: content
-      zh_Hans: 消息内容
-      pt_BR: content
-    human_description:
-      en_US: Content to sent to the group.
-      zh_Hans: 群消息文本
-      pt_BR: Content to sent to the group.
-    llm_description: Content of the message
-    form: llm
-  - name: message_type
-    type: select
-    default: text
-    required: true
-    label:
-      en_US: Wecom Group bot message type
-      zh_Hans: 群机器人webhook的消息类型
-      pt_BR: Wecom Group bot message type
-    human_description:
-      en_US: Wecom Group bot message type
-      zh_Hans: 群机器人webhook的消息类型
-      pt_BR: Wecom Group bot message type
-    options:
-      - value: text
-        label:
-          en_US: Text
-          zh_Hans: 文本
-          pt_BR: Text
-      - value: markdown
-        label:
-          en_US: Markdown
-          zh_Hans: Markdown
-          pt_BR: Markdown
-    form: form
diff --git a/api/core/tools/provider/builtin/wecom/wecom.py b/api/core/tools/provider/builtin/wecom/wecom.py
deleted file mode 100644
index 573f76ee56..0000000000
--- a/api/core/tools/provider/builtin/wecom/wecom.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from core.tools.provider.builtin.wecom.tools.wecom_group_bot import WecomGroupBotTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class WecomProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        WecomGroupBotTool()
diff --git a/api/core/tools/provider/builtin/wecom/wecom.yaml b/api/core/tools/provider/builtin/wecom/wecom.yaml
deleted file mode 100644
index a544055ba4..0000000000
--- a/api/core/tools/provider/builtin/wecom/wecom.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: Bowen Liang
-  name: wecom
-  label:
-    en_US: Wecom
-    zh_Hans: 企业微信
-    pt_BR: Wecom
-  description:
-    en_US: Wecom group bot
-    zh_Hans: 企业微信群机器人
-    pt_BR: Wecom group bot
-  icon: icon.png
-  tags:
-    - social
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg b/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg
deleted file mode 100644
index fe652aacf9..0000000000
--- a/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg
+++ /dev/null
@@ -1,3 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="25" viewBox="0 0 24 25" fill="none">
-  <path d="M22.3627 6.50009H18.3156H18.1783V6.63743V7.07751V7.21484H18.3156H18.5969C18.924 7.21484 19.2189 7.38272 19.386 7.66394C19.553 7.94516 19.5593 8.28448 19.4028 8.57169L14.9027 16.8317L12.8532 11.9459L14.7837 8.40336C15.1832 7.67026 15.95 7.21484 16.7849 7.21484H16.8761H17.0134V7.07751V6.63743V6.50009H16.8761H12.829H12.6917V6.63743V7.07751V7.21484H12.829H13.1102C13.4373 7.21484 13.7323 7.38272 13.8993 7.66394C14.0663 7.94516 14.0726 8.28448 13.9162 8.57169L12.5159 11.1419L11.268 8.16696C11.1776 7.95134 11.1999 7.71594 11.3294 7.52124C11.4589 7.32654 11.6673 7.21484 11.9011 7.21484H12.221H12.3583V7.07751V6.63743V6.50009H12.221H7.3808H7.24347V6.63743V7.07751V7.21484H7.3808H7.44737C8.40218 7.21484 9.25775 7.78379 9.62715 8.66426L11.471 13.0599L9.4161 16.8317L5.78141 8.16696C5.69095 7.95134 5.71334 7.71594 5.8428 7.52124C5.97227 7.32654 6.18065 7.21484 6.41449 7.21484H6.90603H7.04337V7.07751V6.63743V6.50009H6.90603H1.63734H1.5V6.63743V7.07751V7.21484H1.63734H1.96072C2.91554 7.21484 3.77116 7.78379 4.1405 8.66426L8.33049 18.6529C8.40379 18.8276 8.57372 18.9405 8.76347 18.9405C8.93762 18.9405 9.09139 18.849 9.17485 18.6958L9.72141 17.6928L11.8081 13.8635L13.8171 18.6528C13.8904 18.8275 14.0603 18.9404 14.2501 18.9404C14.4242 18.9404 14.578 18.849 14.6614 18.6958L15.208 17.6928L20.2703 8.40327C20.6698 7.67016 21.4366 7.21475 22.2715 7.21475H22.3627H22.5V7.07741V6.63734V6.5H22.3627V6.50009Z" fill="#222A30"/>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py b/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py
deleted file mode 100644
index edb96e722f..0000000000
--- a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py
+++ /dev/null
@@ -1,105 +0,0 @@
-from typing import Any, Optional, Union
-
-import wikipedia  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-WIKIPEDIA_MAX_QUERY_LENGTH = 300
-
-
-class WikipediaAPIWrapper:
-    """Wrapper around WikipediaAPI.
-
-    To use, you should have the ``wikipedia`` python package installed.
-    This wrapper will use the Wikipedia API to conduct searches and
-    fetch page summaries. By default, it will return the page summaries
-    of the top-k results.
-    It limits the Document content by doc_content_chars_max.
-    """
-
-    top_k_results: int = 3
-    lang: str = "en"
-    load_all_available_meta: bool = False
-    doc_content_chars_max: int = 4000
-
-    def __init__(self, doc_content_chars_max: int = 4000):
-        self.doc_content_chars_max = doc_content_chars_max
-
-    def run(self, query: str, lang: str = "") -> str:
-        if lang in wikipedia.languages():
-            self.lang = lang
-
-        wikipedia.set_lang(self.lang)
-        wiki_client = wikipedia
-
-        """Run Wikipedia search and get page summaries."""
-        page_titles = wiki_client.search(query[:WIKIPEDIA_MAX_QUERY_LENGTH])
-        summaries = []
-        for page_title in page_titles[: self.top_k_results]:
-            if wiki_page := self._fetch_page(page_title):
-                if summary := self._formatted_page_summary(page_title, wiki_page):
-                    summaries.append(summary)
-        if not summaries:
-            return "No good Wikipedia Search Result was found"
-        return "\n\n".join(summaries)[: self.doc_content_chars_max]
-
-    @staticmethod
-    def _formatted_page_summary(page_title: str, wiki_page: Any) -> Optional[str]:
-        return f"Page: {page_title}\nSummary: {wiki_page.summary}"
-
-    def _fetch_page(self, page: str) -> Optional[str]:
-        try:
-            return wikipedia.page(title=page, auto_suggest=False)
-        except (
-            wikipedia.exceptions.PageError,
-            wikipedia.exceptions.DisambiguationError,
-        ):
-            return None
-
-
-class WikipediaQueryRun:
-    """Tool that searches the Wikipedia API."""
-
-    name = "Wikipedia"
-    description = (
-        "A wrapper around Wikipedia. "
-        "Useful for when you need to answer general questions about "
-        "people, places, companies, facts, historical events, or other subjects. "
-        "Input should be a search query."
-    )
-    api_wrapper: WikipediaAPIWrapper
-
-    def __init__(self, api_wrapper: WikipediaAPIWrapper):
-        self.api_wrapper = api_wrapper
-
-    def _run(
-        self,
-        query: str,
-        lang: str = "",
-    ) -> str:
-        """Use the Wikipedia tool."""
-        return self.api_wrapper.run(query, lang)
-
-
-class WikiPediaSearchTool(BuiltinTool):
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        query = tool_parameters.get("query", "")
-        lang = tool_parameters.get("language", "")
-        if not query:
-            return self.create_text_message("Please input query")
-
-        tool = WikipediaQueryRun(
-            api_wrapper=WikipediaAPIWrapper(doc_content_chars_max=4000),
-        )
-
-        result = tool._run(query, lang)
-
-        return self.create_text_message(self.summary(user_id=user_id, content=result))
diff --git a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml b/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml
deleted file mode 100644
index 98d002df1c..0000000000
--- a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml
+++ /dev/null
@@ -1,101 +0,0 @@
-identity:
-  name: wikipedia_search
-  author: Dify
-  label:
-    en_US: WikipediaSearch
-    zh_Hans: 维基百科搜索
-    pt_BR: WikipediaSearch
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for performing a Wikipedia search and extracting snippets and webpages.
-    zh_Hans: 一个用于执行维基百科搜索并提取片段和网页的工具。
-    pt_BR: A tool for performing a Wikipedia search and extracting snippets and webpages.
-  llm: A tool for performing a Wikipedia search and extracting snippets and webpages. Input should be a search query.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 查询语句
-      pt_BR: Query string
-    human_description:
-      en_US: key words for searching
-      zh_Hans: 查询关键词
-      pt_BR: key words for searching
-    llm_description: key words for searching, this should be in the language of "language" parameter
-    form: llm
-  - name: language
-    type: string
-    required: true
-    label:
-      en_US: Language
-      zh_Hans: 语言
-    human_description:
-      en_US: The language of the Wikipedia to be searched
-      zh_Hans: 要搜索的维基百科语言
-    llm_description: >-
-      language of the wikipedia to be searched,
-      only "de" for German,
-      "en" for English,
-      "fr" for French,
-      "hi" for Hindi,
-      "ja" for Japanese,
-      "ko" for Korean,
-      "pl" for Polish,
-      "pt" for Portuguese,
-      "ro" for Romanian,
-      "uk" for Ukrainian,
-      "vi" for Vietnamese,
-      and "zh" for Chinese are supported
-    form: llm
-    options:
-      - value: de
-        label:
-          en_US: German
-          zh_Hans: 德语
-      - value: en
-        label:
-          en_US: English
-          zh_Hans: 英语
-      - value: fr
-        label:
-          en_US: French
-          zh_Hans: 法语
-      - value: hi
-        label:
-          en_US: Hindi
-          zh_Hans: 印地语
-      - value: ja
-        label:
-          en_US: Japanese
-          zh_Hans: 日语
-      - value: ko
-        label:
-          en_US: Korean
-          zh_Hans: 韩语
-      - value: pl
-        label:
-          en_US: Polish
-          zh_Hans: 波兰语
-      - value: pt
-        label:
-          en_US: Portuguese
-          zh_Hans: 葡萄牙语
-      - value: ro
-        label:
-          en_US: Romanian
-          zh_Hans: 罗马尼亚语
-      - value: uk
-        label:
-          en_US: Ukrainian
-          zh_Hans: 乌克兰语
-      - value: vi
-        label:
-          en_US: Vietnamese
-          zh_Hans: 越南语
-      - value: zh
-        label:
-          en_US: Chinese
-          zh_Hans: 中文
diff --git a/api/core/tools/provider/builtin/wikipedia/wikipedia.py b/api/core/tools/provider/builtin/wikipedia/wikipedia.py
deleted file mode 100644
index 178bf7b0ce..0000000000
--- a/api/core/tools/provider/builtin/wikipedia/wikipedia.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.wikipedia.tools.wikipedia_search import WikiPediaSearchTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class WikiPediaProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            WikiPediaSearchTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "misaka mikoto",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml b/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml
deleted file mode 100644
index c582824022..0000000000
--- a/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
-identity:
-  author: Dify
-  name: wikipedia
-  label:
-    en_US: Wikipedia
-    zh_Hans: 维基百科
-    pt_BR: Wikipedia
-  description:
-    en_US: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world.
-    zh_Hans: 维基百科是一个由全世界的志愿者创建和编辑的免费在线百科全书。
-    pt_BR: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world.
-  icon: icon.svg
-  tags:
-    - social
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg b/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg
deleted file mode 100644
index 2caf32ee67..0000000000
--- a/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg
+++ /dev/null
@@ -1,23 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="22" height="23" viewBox="0 0 22 23" fill="none">
-  <path d="M21.4992 14.615L17.0326 15.5683L17.4865 20.0065L13.3037 18.2132L10.9994 22.0669L8.69549 18.2132L4.51225 20.0065L4.96656 15.5678L0.5 14.615L3.542 11.2832L0.5 7.9519L4.96656 6.99854L4.51225 2.55981L8.69549 4.35369L10.9994 0.5L13.3037 4.35369L17.4865 2.56031L17.0326 7.00401L21.4992 7.9519L18.4572 11.2832L21.4992 14.615Z" fill="#F16850"/>
-  <path d="M10.9993 7.23111L8.69495 4.35315L4.51221 2.56026L7.00396 5.84084L10.9993 7.23111Z" fill="#FD694F"/>
-  <path d="M4.96656 6.99847L0.5 7.95183L3.542 11.2831L7.11734 9.9838L4.96656 6.99847Z" fill="#FF3413"/>
-  <path d="M7.00346 5.84037L4.51221 2.55978L4.96602 6.99851L7.11729 9.98384L7.00346 5.84037Z" fill="#DC1D23"/>
-  <path d="M13.3031 4.35369L10.9987 0.5L8.69434 4.35369L10.9987 7.23116L13.3031 4.35369Z" fill="#FF9281"/>
-  <path d="M18.4577 11.2831L21.4997 7.95183L17.0331 6.99847L14.8818 9.9838L18.4577 11.2831Z" fill="#FF8B79"/>
-  <path d="M14.8823 9.98384L17.0331 6.99851L17.4929 2.55978L14.9957 5.84037L14.8818 9.98384H14.8823Z" fill="#FD694F"/>
-  <path d="M14.9954 5.84034L17.4926 2.55975L13.3044 4.35364L11 7.23111L14.9954 5.84034Z" fill="#EF5240"/>
-  <path d="M17.47 13.2694L21.4997 14.6149L18.4577 11.2831L14.8818 9.98383L17.47 13.2694Z" fill="#FF482C"/>
-  <path d="M7.11783 9.98383L3.542 11.2831L0.5 14.6149L4.52965 13.2699L7.11783 9.98383Z" fill="#EC2101"/>
-  <path d="M11 17.8612V22.0664L13.3044 18.2132L13.4008 14.439L11 17.8612Z" fill="#D21C22"/>
-  <path d="M17.4703 13.2693L13.4009 14.4389L17.0334 15.5682L21.4999 14.6149L17.4703 13.2693Z" fill="#C90901"/>
-  <path d="M13.3042 18.2132L17.4874 20.0065L17.0331 15.5683L13.4011 14.439L13.3042 18.2132Z" fill="#EC2101"/>
-  <path d="M4.52965 13.2693L0.5 14.6154L4.96656 15.5632L8.59906 14.4394L4.52965 13.2703V13.2693Z" fill="#B6171E"/>
-  <path d="M8.59912 14.439L8.69555 18.2132L10.9999 22.0669V17.8612L8.59912 14.439Z" fill="#B4151B"/>
-  <path d="M4.96602 15.5623L4.51221 20.006L8.69495 18.2131L8.59852 14.439L4.96602 15.5623Z" fill="#D21C22"/>
-  <path d="M14.882 9.98384L14.9954 5.84036L11 7.23113V11.2608L14.882 9.98384Z" fill="#E63320"/>
-  <path d="M11.0003 7.23113L7.00391 5.84036L7.11773 9.98384L10.9998 11.2608L11.0003 7.23113Z" fill="#FF4527"/>
-  <path d="M8.59912 14.439L10.9999 17.8613L13.4007 14.439L10.9999 11.2608L8.59912 14.439Z" fill="#FF9281"/>
-  <path d="M11 11.2608L13.4008 14.439L17.4702 13.2699L14.882 9.98386L11 11.2608Z" fill="#FD684D"/>
-  <path d="M7.1165 9.9839L4.52832 13.2694L8.59773 14.439L10.9985 11.2608L7.1165 9.9839Z" fill="#FD745C"/>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py
deleted file mode 100644
index 9b24be7cab..0000000000
--- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from typing import Any, Union
-
-from httpx import get
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.errors import ToolInvokeError, ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class WolframAlphaTool(BuiltinTool):
-    _base_url = "https://api.wolframalpha.com/v2/query"
-
-    def _invoke(
-        self,
-        user_id: str,
-        tool_parameters: dict[str, Any],
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        query = tool_parameters.get("query", "")
-        if not query:
-            return self.create_text_message("Please input query")
-        appid = self.runtime.credentials.get("appid", "")
-        if not appid:
-            raise ToolProviderCredentialValidationError("Please input appid")
-
-        params = {"appid": appid, "input": query, "includepodid": "Result", "format": "plaintext", "output": "json"}
-
-        finished = False
-        result = None
-        # try 3 times at most
-        counter = 0
-
-        while not finished and counter < 3:
-            counter += 1
-            try:
-                response = get(self._base_url, params=params, timeout=20)
-                response.raise_for_status()
-                response_data = response.json()
-            except Exception as e:
-                raise ToolInvokeError(str(e))
-
-            if "success" not in response_data["queryresult"] or response_data["queryresult"]["success"] != True:
-                query_result = response_data.get("queryresult", {})
-                if query_result.get("error"):
-                    if "msg" in query_result["error"]:
-                        if query_result["error"]["msg"] == "Invalid appid":
-                            raise ToolProviderCredentialValidationError("Invalid appid")
-                raise ToolInvokeError("Failed to invoke tool")
-
-            if "didyoumeans" in response_data["queryresult"]:
-                # get the most likely interpretation
-                query = ""
-                max_score = 0
-                for didyoumean in response_data["queryresult"]["didyoumeans"]:
-                    if float(didyoumean["score"]) > max_score:
-                        query = didyoumean["val"]
-                        max_score = float(didyoumean["score"])
-
-                params["input"] = query
-            else:
-                finished = True
-                if "sources" in response_data["queryresult"]:
-                    return self.create_link_message(response_data["queryresult"]["sources"]["url"])
-                elif "pods" in response_data["queryresult"]:
-                    result = response_data["queryresult"]["pods"][0]["subpods"][0]["plaintext"]
-
-        if not finished or not result:
-            return self.create_text_message("No result found")
-
-        return self.create_text_message(result)
diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml
deleted file mode 100644
index 08b5668691..0000000000
--- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml
+++ /dev/null
@@ -1,27 +0,0 @@
-identity:
-  name: wolframalpha
-  author: Dify
-  label:
-    en_US: WolframAlpha
-    zh_Hans: WolframAlpha
-    pt_BR: WolframAlpha
-description:
-  human:
-    en_US: WolframAlpha is a powerful computational knowledge engine.
-    zh_Hans: WolframAlpha 是一个强大的计算知识引擎。
-    pt_BR: WolframAlpha is a powerful computational knowledge engine.
-  llm: WolframAlpha is a powerful computational knowledge engine. one single query can get the answer of a question.
-parameters:
-  - name: query
-    type: string
-    required: true
-    label:
-      en_US: Query string
-      zh_Hans: 计算语句
-      pt_BR: Query string
-    human_description:
-      en_US: used for calculating
-      zh_Hans: 用于计算最终结果
-      pt_BR: used for calculating
-    llm_description: a single query for calculating
-    form: llm
diff --git a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py
deleted file mode 100644
index 7be288b538..0000000000
--- a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import Any
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.wolframalpha.tools.wolframalpha import WolframAlphaTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class GoogleProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        try:
-            WolframAlphaTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "query": "1+2+....+111",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml b/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml
deleted file mode 100644
index 91265eb3c0..0000000000
--- a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml
+++ /dev/null
@@ -1,32 +0,0 @@
-identity:
-  author: Dify
-  name: wolframalpha
-  label:
-    en_US: WolframAlpha
-    zh_Hans: WolframAlpha
-    pt_BR: WolframAlpha
-  description:
-    en_US: WolframAlpha is a powerful computational knowledge engine.
-    zh_Hans: WolframAlpha 是一个强大的计算知识引擎。
-    pt_BR: WolframAlpha is a powerful computational knowledge engine.
-  icon: icon.svg
-  tags:
-    - productivity
-    - utilities
-credentials_for_provider:
-  appid:
-    type: secret-input
-    required: true
-    label:
-      en_US: WolframAlpha AppID
-      zh_Hans: WolframAlpha AppID
-      pt_BR: WolframAlpha AppID
-    placeholder:
-      en_US: Please input your WolframAlpha AppID
-      zh_Hans: 请输入你的 WolframAlpha AppID
-      pt_BR: Please input your WolframAlpha AppID
-    help:
-      en_US: Get your WolframAlpha AppID from WolframAlpha, please use "full results" api access.
-      zh_Hans: 从 WolframAlpha 获取您的 WolframAlpha AppID，请使用 "full results" API。
-      pt_BR: Get your WolframAlpha AppID from WolframAlpha, please use "full results" api access.
-    url: https://products.wolframalpha.com/api
diff --git a/api/core/tools/provider/builtin/xinference/_assets/icon.png b/api/core/tools/provider/builtin/xinference/_assets/icon.png
deleted file mode 100644
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GIT binary patch
literal 0
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diff --git a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.py b/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.py
deleted file mode 100644
index a44d3b730a..0000000000
--- a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.py
+++ /dev/null
@@ -1,415 +0,0 @@
-import io
-import json
-from base64 import b64decode, b64encode
-from copy import deepcopy
-from typing import Any, Union
-
-from httpx import get, post
-from PIL import Image
-from yarl import URL
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import (
-    ToolInvokeMessage,
-    ToolParameter,
-    ToolParameterOption,
-)
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.tool.builtin_tool import BuiltinTool
-
-# All commented out parameters default to null
-DRAW_TEXT_OPTIONS = {
-    # Prompts
-    "prompt": "",
-    "negative_prompt": "",
-    # "styles": [],
-    # Seeds
-    "seed": -1,
-    "subseed": -1,
-    "subseed_strength": 0,
-    "seed_resize_from_h": -1,
-    "seed_resize_from_w": -1,
-    # Samplers
-    "sampler_name": "DPM++ 2M",
-    # "scheduler": "",
-    # "sampler_index": "Automatic",
-    # Latent Space Options
-    "batch_size": 1,
-    "n_iter": 1,
-    "steps": 10,
-    "cfg_scale": 7,
-    "width": 512,
-    "height": 512,
-    # "restore_faces": True,
-    # "tiling": True,
-    "do_not_save_samples": False,
-    "do_not_save_grid": False,
-    # "eta": 0,
-    # "denoising_strength": 0.75,
-    # "s_min_uncond": 0,
-    # "s_churn": 0,
-    # "s_tmax": 0,
-    # "s_tmin": 0,
-    # "s_noise": 0,
-    "override_settings": {},
-    "override_settings_restore_afterwards": True,
-    # Refinement Options
-    "refiner_checkpoint": "",
-    "refiner_switch_at": 0,
-    "disable_extra_networks": False,
-    # "firstpass_image": "",
-    # "comments": "",
-    # High-Resolution Options
-    "enable_hr": False,
-    "firstphase_width": 0,
-    "firstphase_height": 0,
-    "hr_scale": 2,
-    # "hr_upscaler": "",
-    "hr_second_pass_steps": 0,
-    "hr_resize_x": 0,
-    "hr_resize_y": 0,
-    # "hr_checkpoint_name": "",
-    # "hr_sampler_name": "",
-    # "hr_scheduler": "",
-    "hr_prompt": "",
-    "hr_negative_prompt": "",
-    # Task Options
-    # "force_task_id": "",
-    # Script Options
-    # "script_name": "",
-    "script_args": [],
-    # Output Options
-    "send_images": True,
-    "save_images": False,
-    "alwayson_scripts": {},
-    # "infotext": "",
-}
-
-
-class StableDiffusionTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        # base url
-        base_url = self.runtime.credentials.get("base_url", None)
-        if not base_url:
-            return self.create_text_message("Please input base_url")
-
-        if tool_parameters.get("model"):
-            self.runtime.credentials["model"] = tool_parameters["model"]
-
-        model = self.runtime.credentials.get("model", None)
-        if not model:
-            return self.create_text_message("Please input model")
-        api_key = self.runtime.credentials.get("api_key") or "abc"
-        headers = {"Authorization": f"Bearer {api_key}"}
-        # set model
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "options")
-            response = post(
-                url,
-                json={"sd_model_checkpoint": model},
-                headers=headers,
-            )
-            if response.status_code != 200:
-                raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model")
-
-        # get image id and image variable
-        image_id = tool_parameters.get("image_id", "")
-        image_variable = self.get_default_image_variable()
-        # Return text2img if there's no image ID or no image variable
-        if not image_id or not image_variable:
-            return self.text2img(base_url=base_url, tool_parameters=tool_parameters)
-
-        # Proceed with image-to-image generation
-        return self.img2img(base_url=base_url, tool_parameters=tool_parameters)
-
-    def validate_models(self):
-        """
-        validate models
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                raise ToolProviderCredentialValidationError("Please input base_url")
-            model = self.runtime.credentials.get("model", None)
-            if not model:
-                raise ToolProviderCredentialValidationError("Please input model")
-
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models")
-            response = get(url=api_url, timeout=10)
-            if response.status_code == 404:
-                # try draw a picture
-                self._invoke(
-                    user_id="test",
-                    tool_parameters={
-                        "prompt": "a cat",
-                        "width": 1024,
-                        "height": 1024,
-                        "steps": 1,
-                        "lora": "",
-                    },
-                )
-            elif response.status_code != 200:
-                raise ToolProviderCredentialValidationError("Failed to get models")
-            else:
-                models = [d["model_name"] for d in response.json()]
-                if len([d for d in models if d == model]) > 0:
-                    return self.create_text_message(json.dumps(models))
-                else:
-                    raise ToolProviderCredentialValidationError(f"model {model} does not exist")
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(f"Failed to get models, {e}")
-
-    def get_sd_models(self) -> list[str]:
-        """
-        get sd models
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models")
-            response = get(url=api_url, timeout=120)
-            if response.status_code != 200:
-                return []
-            else:
-                return [d["model_name"] for d in response.json()]
-        except Exception as e:
-            return []
-
-    def get_sample_methods(self) -> list[str]:
-        """
-        get sample method
-        """
-        try:
-            base_url = self.runtime.credentials.get("base_url", None)
-            if not base_url:
-                return []
-            api_url = str(URL(base_url) / "sdapi" / "v1" / "samplers")
-            response = get(url=api_url, timeout=120)
-            if response.status_code != 200:
-                return []
-            else:
-                return [d["name"] for d in response.json()]
-        except Exception as e:
-            return []
-
-    def img2img(
-        self, base_url: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        generate image
-        """
-
-        # Fetch the binary data of the image
-        image_variable = self.get_default_image_variable()
-        image_binary = self.get_variable_file(image_variable.name)
-        if not image_binary:
-            return self.create_text_message("Image not found, please request user to generate image firstly.")
-
-        # Convert image to RGB and save as PNG
-        try:
-            with Image.open(io.BytesIO(image_binary)) as image, io.BytesIO() as buffer:
-                image.convert("RGB").save(buffer, format="PNG")
-                image_binary = buffer.getvalue()
-        except Exception as e:
-            return self.create_text_message(f"Failed to process the image: {str(e)}")
-
-        # copy draw options
-        draw_options = deepcopy(DRAW_TEXT_OPTIONS)
-        # set image options
-        model = tool_parameters.get("model", "")
-        draw_options_image = {
-            "init_images": [b64encode(image_binary).decode("utf-8")],
-            "denoising_strength": 0.9,
-            "restore_faces": False,
-            "script_args": [],
-            "override_settings": {"sd_model_checkpoint": model},
-            "resize_mode": 0,
-            "image_cfg_scale": 0,
-            # "mask": None,
-            "mask_blur_x": 4,
-            "mask_blur_y": 4,
-            "mask_blur": 0,
-            "mask_round": True,
-            "inpainting_fill": 0,
-            "inpaint_full_res": True,
-            "inpaint_full_res_padding": 0,
-            "inpainting_mask_invert": 0,
-            "initial_noise_multiplier": 0,
-            # "latent_mask": None,
-            "include_init_images": True,
-        }
-        # update key and values
-        draw_options.update(draw_options_image)
-        draw_options.update(tool_parameters)
-
-        # get prompt lora model
-        prompt = tool_parameters.get("prompt", "")
-        lora = tool_parameters.get("lora", "")
-        model = tool_parameters.get("model", "")
-        if lora:
-            draw_options["prompt"] = f"{lora},{prompt}"
-        else:
-            draw_options["prompt"] = prompt
-        api_key = self.runtime.credentials.get("api_key") or "abc"
-        headers = {"Authorization": f"Bearer {api_key}"}
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "img2img")
-            response = post(
-                url,
-                json=draw_options,
-                timeout=120,
-                headers=headers,
-            )
-            if response.status_code != 200:
-                return self.create_text_message("Failed to generate image")
-
-            image = response.json()["images"][0]
-
-            return self.create_blob_message(
-                blob=b64decode(image),
-                meta={"mime_type": "image/png"},
-                save_as=self.VariableKey.IMAGE.value,
-            )
-
-        except Exception as e:
-            return self.create_text_message("Failed to generate image")
-
-    def text2img(
-        self, base_url: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        generate image
-        """
-        # copy draw options
-        draw_options = deepcopy(DRAW_TEXT_OPTIONS)
-        draw_options.update(tool_parameters)
-        # get prompt lora model
-        prompt = tool_parameters.get("prompt", "")
-        lora = tool_parameters.get("lora", "")
-        model = tool_parameters.get("model", "")
-        if lora:
-            draw_options["prompt"] = f"{lora},{prompt}"
-        else:
-            draw_options["prompt"] = prompt
-        draw_options["override_settings"]["sd_model_checkpoint"] = model
-        api_key = self.runtime.credentials.get("api_key") or "abc"
-        headers = {"Authorization": f"Bearer {api_key}"}
-        try:
-            url = str(URL(base_url) / "sdapi" / "v1" / "txt2img")
-            response = post(
-                url,
-                json=draw_options,
-                timeout=120,
-                headers=headers,
-            )
-            if response.status_code != 200:
-                return self.create_text_message("Failed to generate image")
-
-            image = response.json()["images"][0]
-
-            return self.create_blob_message(
-                blob=b64decode(image),
-                meta={"mime_type": "image/png"},
-                save_as=self.VariableKey.IMAGE.value,
-            )
-
-        except Exception as e:
-            return self.create_text_message("Failed to generate image")
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        parameters = [
-            ToolParameter(
-                name="prompt",
-                label=I18nObject(en_US="Prompt", zh_Hans="Prompt"),
-                human_description=I18nObject(
-                    en_US="Image prompt, you can check the official documentation of Stable Diffusion",
-                    zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档",
-                ),
-                type=ToolParameter.ToolParameterType.STRING,
-                form=ToolParameter.ToolParameterForm.LLM,
-                llm_description="Image prompt of Stable Diffusion, you should describe the image you want to generate"
-                " as a list of words as possible as detailed, the prompt must be written in English.",
-                required=True,
-            ),
-        ]
-        if len(self.list_default_image_variables()) != 0:
-            parameters.append(
-                ToolParameter(
-                    name="image_id",
-                    label=I18nObject(en_US="image_id", zh_Hans="image_id"),
-                    human_description=I18nObject(
-                        en_US="Image id of the image you want to generate based on, if you want to generate image based"
-                        " on the default image, you can leave this field empty.",
-                        zh_Hans="您想要生成的图像的图像 ID，如果您想要基于默认图像生成图像，则可以将此字段留空。",
-                    ),
-                    type=ToolParameter.ToolParameterType.STRING,
-                    form=ToolParameter.ToolParameterForm.LLM,
-                    llm_description="Image id of the original image, you can leave this field empty if you want to"
-                    " generate a new image.",
-                    required=True,
-                    options=[
-                        ToolParameterOption(value=i.name, label=I18nObject(en_US=i.name, zh_Hans=i.name))
-                        for i in self.list_default_image_variables()
-                    ],
-                )
-            )
-
-        if self.runtime.credentials:
-            try:
-                models = self.get_sd_models()
-                if len(models) != 0:
-                    parameters.append(
-                        ToolParameter(
-                            name="model",
-                            label=I18nObject(en_US="Model", zh_Hans="Model"),
-                            human_description=I18nObject(
-                                en_US="Model of Stable Diffusion, you can check the official documentation"
-                                " of Stable Diffusion",
-                                zh_Hans="Stable Diffusion 的模型，您可以查看 Stable Diffusion 的官方文档",
-                            ),
-                            type=ToolParameter.ToolParameterType.SELECT,
-                            form=ToolParameter.ToolParameterForm.FORM,
-                            llm_description="Model of Stable Diffusion, you can check the official documentation"
-                            " of Stable Diffusion",
-                            required=True,
-                            default=models[0],
-                            options=[
-                                ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models
-                            ],
-                        )
-                    )
-
-            except:
-                pass
-
-            sample_methods = self.get_sample_methods()
-            if len(sample_methods) != 0:
-                parameters.append(
-                    ToolParameter(
-                        name="sampler_name",
-                        label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"),
-                        human_description=I18nObject(
-                            en_US="Sampling method of Stable Diffusion, you can check the official documentation"
-                            " of Stable Diffusion",
-                            zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档",
-                        ),
-                        type=ToolParameter.ToolParameterType.SELECT,
-                        form=ToolParameter.ToolParameterForm.FORM,
-                        llm_description="Sampling method of Stable Diffusion, you can check the official documentation"
-                        " of Stable Diffusion",
-                        required=True,
-                        default=sample_methods[0],
-                        options=[
-                            ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in sample_methods
-                        ],
-                    )
-                )
-        return parameters
diff --git a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml
deleted file mode 100644
index 4f1d17f175..0000000000
--- a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-identity:
-  name: stable_diffusion
-  author: xinference
-  label:
-    en_US: Stable Diffusion
-    zh_Hans: Stable Diffusion
-description:
-  human:
-    en_US: Generate images using Stable Diffusion models.
-    zh_Hans: 使用 Stable Diffusion 模型生成图片。
-  llm: draw the image you want based on your prompt.
-parameters:
-  - name: prompt
-    type: string
-    required: true
-    label:
-      en_US: Prompt
-      zh_Hans: 提示词
-    human_description:
-      en_US: Image prompt
-      zh_Hans: 图像提示词
-    llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English.
-    form: llm
-  - name: model
-    type: string
-    required: false
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    human_description:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    form: form
-  - name: lora
-    type: string
-    required: false
-    label:
-      en_US: Lora
-      zh_Hans: Lora
-    human_description:
-      en_US: Lora
-      zh_Hans: Lora
-    form: form
-  - name: steps
-    type: number
-    required: false
-    label:
-      en_US: Steps
-      zh_Hans: Steps
-    human_description:
-      en_US: Steps
-      zh_Hans: Steps
-    form: form
-    default: 10
-  - name: width
-    type: number
-    required: false
-    label:
-      en_US: Width
-      zh_Hans: Width
-    human_description:
-      en_US: Width
-      zh_Hans: Width
-    form: form
-    default: 1024
-  - name: height
-    type: number
-    required: false
-    label:
-      en_US: Height
-      zh_Hans: Height
-    human_description:
-      en_US: Height
-      zh_Hans: Height
-    form: form
-    default: 1024
-  - name: negative_prompt
-    type: string
-    required: false
-    label:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-    human_description:
-      en_US: Negative prompt
-      zh_Hans: Negative prompt
-    form: form
-    default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines
diff --git a/api/core/tools/provider/builtin/xinference/xinference.py b/api/core/tools/provider/builtin/xinference/xinference.py
deleted file mode 100644
index 9692e4060e..0000000000
--- a/api/core/tools/provider/builtin/xinference/xinference.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import requests
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class XinferenceProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        base_url = credentials.get("base_url", "").removesuffix("/")
-        api_key = credentials.get("api_key", "")
-        if not api_key:
-            api_key = "abc"
-            credentials["api_key"] = api_key
-        model = credentials.get("model", "")
-        if not base_url or not model:
-            raise ToolProviderCredentialValidationError("Xinference base_url and model is required")
-        headers = {"Authorization": f"Bearer {api_key}"}
-        res = requests.post(
-            f"{base_url}/sdapi/v1/options",
-            headers=headers,
-            json={"sd_model_checkpoint": model},
-        )
-        if res.status_code != 200:
-            raise ToolProviderCredentialValidationError("Xinference API key is invalid")
diff --git a/api/core/tools/provider/builtin/xinference/xinference.yaml b/api/core/tools/provider/builtin/xinference/xinference.yaml
deleted file mode 100644
index b0c02b9cbc..0000000000
--- a/api/core/tools/provider/builtin/xinference/xinference.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-identity:
-  author: xinference
-  name: xinference
-  label:
-    en_US: Xinference
-    zh_Hans: Xinference
-  description:
-    zh_Hans: Xinference 提供的兼容 Stable Diffusion web ui 的图片生成 API。
-    en_US: Stable Diffusion web ui compatible API provided by Xinference.
-  icon: icon.png
-  tags:
-    - image
-credentials_for_provider:
-  base_url:
-    type: secret-input
-    required: true
-    label:
-      en_US: Base URL
-      zh_Hans: Xinference 服务器的 Base URL
-    placeholder:
-      en_US: Please input Xinference server's Base URL
-      zh_Hans: 请输入 Xinference 服务器的 Base URL
-  model:
-    type: text-input
-    required: true
-    label:
-      en_US: Model
-      zh_Hans: 模型
-    placeholder:
-      en_US: Please input your model name
-      zh_Hans: 请输入你的模型名称
-  api_key:
-    type: secret-input
-    required: false
-    label:
-      en_US: API Key
-      zh_Hans: Xinference 服务器的 API Key
-    placeholder:
-      en_US: Please input Xinference server's API Key
-      zh_Hans: 请输入 Xinference 服务器的 API Key
diff --git a/api/core/tools/provider/builtin/yahoo/_assets/icon.png b/api/core/tools/provider/builtin/yahoo/_assets/icon.png
deleted file mode 100644
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GIT binary patch
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diff --git a/api/core/tools/provider/builtin/yahoo/tools/analytics.py b/api/core/tools/provider/builtin/yahoo/tools/analytics.py
deleted file mode 100644
index 95a65ba22f..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/analytics.py
+++ /dev/null
@@ -1,70 +0,0 @@
-from datetime import datetime
-from typing import Any, Union
-
-import pandas as pd
-from requests.exceptions import HTTPError, ReadTimeout
-from yfinance import download  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YahooFinanceAnalyticsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        symbol = tool_parameters.get("symbol", "")
-        if not symbol:
-            return self.create_text_message("Please input symbol")
-
-        time_range = [None, None]
-        start_date = tool_parameters.get("start_date", "")
-        if start_date:
-            time_range[0] = start_date
-        else:
-            time_range[0] = "1800-01-01"
-
-        end_date = tool_parameters.get("end_date", "")
-        if end_date:
-            time_range[1] = end_date
-        else:
-            time_range[1] = datetime.now().strftime("%Y-%m-%d")
-
-        stock_data = download(symbol, start=time_range[0], end=time_range[1])
-        max_segments = min(15, len(stock_data))
-        rows_per_segment = len(stock_data) // (max_segments or 1)
-        summary_data = []
-        for i in range(max_segments):
-            start_idx = i * rows_per_segment
-            end_idx = (i + 1) * rows_per_segment if i < max_segments - 1 else len(stock_data)
-            segment_data = stock_data.iloc[start_idx:end_idx]
-            segment_summary = {
-                "Start Date": segment_data.index[0],
-                "End Date": segment_data.index[-1],
-                "Average Close": segment_data["Close"].mean(),
-                "Average Volume": segment_data["Volume"].mean(),
-                "Average Open": segment_data["Open"].mean(),
-                "Average High": segment_data["High"].mean(),
-                "Average Low": segment_data["Low"].mean(),
-                "Average Adj Close": segment_data["Adj Close"].mean(),
-                "Max Close": segment_data["Close"].max(),
-                "Min Close": segment_data["Close"].min(),
-                "Max Volume": segment_data["Volume"].max(),
-                "Min Volume": segment_data["Volume"].min(),
-                "Max Open": segment_data["Open"].max(),
-                "Min Open": segment_data["Open"].min(),
-                "Max High": segment_data["High"].max(),
-                "Min High": segment_data["High"].min(),
-            }
-
-            summary_data.append(segment_summary)
-
-        summary_df = pd.DataFrame(summary_data)
-
-        try:
-            return self.create_text_message(str(summary_df.to_dict()))
-        except (HTTPError, ReadTimeout):
-            return self.create_text_message("There is a internet connection problem. Please try again later.")
diff --git a/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml b/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml
deleted file mode 100644
index 89e66fb581..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-identity:
-  name: yahoo_finance_analytics
-  author: Dify
-  label:
-    en_US: Analytics
-    zh_Hans: 分析
-    pt_BR: Análises
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for get analytics about a ticker from Yahoo Finance.
-    zh_Hans: 一个用于从雅虎财经获取分析数据的工具。
-    pt_BR: Uma ferramenta para obter análises sobre um ticker do Yahoo Finance.
-  llm: A tool for get analytics from Yahoo Finance. Input should be the ticker symbol like AAPL.
-parameters:
-  - name: symbol
-    type: string
-    required: true
-    label:
-      en_US: Ticker symbol
-      zh_Hans: 股票代码
-      pt_BR: Símbolo do ticker
-    human_description:
-      en_US: The ticker symbol of the company you want to analyze.
-      zh_Hans: 你想要搜索的公司的股票代码。
-      pt_BR: O símbolo do ticker da empresa que você deseja analisar.
-    llm_description: The ticker symbol of the company you want to analyze.
-    form: llm
-  - name: start_date
-    type: string
-    required: false
-    label:
-      en_US: Start date
-      zh_Hans: 开始日期
-      pt_BR: Data de início
-    human_description:
-      en_US: The start date of the analytics.
-      zh_Hans: 分析的开始日期。
-      pt_BR: A data de início das análises.
-    llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01.
-    form: llm
-  - name: end_date
-    type: string
-    required: false
-    label:
-      en_US: End date
-      zh_Hans: 结束日期
-      pt_BR: Data de término
-    human_description:
-      en_US: The end date of the analytics.
-      zh_Hans: 分析的结束日期。
-      pt_BR: A data de término das análises.
-    llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01.
-    form: llm
diff --git a/api/core/tools/provider/builtin/yahoo/tools/news.py b/api/core/tools/provider/builtin/yahoo/tools/news.py
deleted file mode 100644
index c9ae0c4ca7..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/news.py
+++ /dev/null
@@ -1,46 +0,0 @@
-from typing import Any, Union
-
-import yfinance  # type: ignore
-from requests.exceptions import HTTPError, ReadTimeout
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YahooFinanceSearchTickerTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-
-        query = tool_parameters.get("symbol", "")
-        if not query:
-            return self.create_text_message("Please input symbol")
-
-        try:
-            return self.run(ticker=query, user_id=user_id)
-        except (HTTPError, ReadTimeout):
-            return self.create_text_message("There is a internet connection problem. Please try again later.")
-
-    def run(self, ticker: str, user_id: str) -> ToolInvokeMessage:
-        company = yfinance.Ticker(ticker)
-        try:
-            if company.isin is None:
-                return self.create_text_message(f"Company ticker {ticker} not found.")
-        except (HTTPError, ReadTimeout, ConnectionError):
-            return self.create_text_message(f"Company ticker {ticker} not found.")
-
-        links = []
-        try:
-            links = [n["link"] for n in company.news if n["type"] == "STORY"]
-        except (HTTPError, ReadTimeout, ConnectionError):
-            if not links:
-                return self.create_text_message(f"There is nothing about {ticker} ticker")
-        if not links:
-            return self.create_text_message(f"No news found for company that searched with {ticker} ticker.")
-
-        result = "\n\n".join([self.get_url(link) for link in links])
-
-        return self.create_text_message(self.summary(user_id=user_id, content=result))
diff --git a/api/core/tools/provider/builtin/yahoo/tools/news.yaml b/api/core/tools/provider/builtin/yahoo/tools/news.yaml
deleted file mode 100644
index 4118c1a82f..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/news.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-identity:
-  name: yahoo_finance_news
-  author: Dify
-  label:
-    en_US: News
-    zh_Hans: 新闻
-    pt_BR: Notícias
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for get news about a ticker from Yahoo Finance.
-    zh_Hans: 一个用于从雅虎财经获取新闻的工具。
-    pt_BR: Uma ferramenta para obter notícias sobre um ticker da Yahoo Finance.
-  llm: A tool for get news from Yahoo Finance. Input should be the ticker symbol like AAPL.
-parameters:
-  - name: symbol
-    type: string
-    required: true
-    label:
-      en_US: Ticker symbol
-      zh_Hans: 股票代码
-      pt_BR: Símbolo do ticker
-    human_description:
-      en_US: The ticker symbol of the company you want to search.
-      zh_Hans: 你想要搜索的公司的股票代码。
-      pt_BR: O símbolo do ticker da empresa que você deseja pesquisar.
-    llm_description: The ticker symbol of the company you want to search.
-    form: llm
diff --git a/api/core/tools/provider/builtin/yahoo/tools/ticker.py b/api/core/tools/provider/builtin/yahoo/tools/ticker.py
deleted file mode 100644
index 74d0d25add..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/ticker.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from typing import Any, Union
-
-from requests.exceptions import HTTPError, ReadTimeout
-from yfinance import Ticker  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YahooFinanceSearchTickerTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        query = tool_parameters.get("symbol", "")
-        if not query:
-            return self.create_text_message("Please input symbol")
-
-        try:
-            return self.create_text_message(self.run(ticker=query))
-        except (HTTPError, ReadTimeout):
-            return self.create_text_message("There is a internet connection problem. Please try again later.")
-
-    def run(self, ticker: str) -> str:
-        return str(Ticker(ticker).info)
diff --git a/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml b/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml
deleted file mode 100644
index 3c1ee9cf31..0000000000
--- a/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml
+++ /dev/null
@@ -1,28 +0,0 @@
-identity:
-  name: yahoo_finance_ticker
-  author: Dify
-  label:
-    en_US: Ticker
-    zh_Hans: 股票信息
-    pt_BR: Ticker
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for search ticker information from Yahoo Finance.
-    zh_Hans: 一个用于从雅虎财经搜索股票信息的工具。
-    pt_BR: Uma ferramenta para buscar informações de ticker do Yahoo Finance.
-  llm: A tool for search ticker information from Yahoo Finance. Input should be the ticker symbol like AAPL.
-parameters:
-  - name: symbol
-    type: string
-    required: true
-    label:
-      en_US: Ticker symbol
-      zh_Hans: 股票代码
-      pt_BR: Símbolo do ticker
-    human_description:
-      en_US: The ticker symbol of the company you want to search.
-      zh_Hans: 你想要搜索的公司的股票代码。
-      pt_BR: O símbolo do ticker da empresa que você deseja pesquisar.
-    llm_description: The ticker symbol of the company you want to search.
-    form: llm
diff --git a/api/core/tools/provider/builtin/yahoo/yahoo.py b/api/core/tools/provider/builtin/yahoo/yahoo.py
deleted file mode 100644
index 8d82084e76..0000000000
--- a/api/core/tools/provider/builtin/yahoo/yahoo.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.yahoo.tools.ticker import YahooFinanceSearchTickerTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class YahooFinanceProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            YahooFinanceSearchTickerTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "ticker": "MSFT",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/yahoo/yahoo.yaml b/api/core/tools/provider/builtin/yahoo/yahoo.yaml
deleted file mode 100644
index f1e82952c0..0000000000
--- a/api/core/tools/provider/builtin/yahoo/yahoo.yaml
+++ /dev/null
@@ -1,16 +0,0 @@
-identity:
-  author: Dify
-  name: yahoo
-  label:
-    en_US: YahooFinance
-    zh_Hans: 雅虎财经
-    pt_BR: YahooFinance
-  description:
-    en_US: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo!
-    zh_Hans: 雅虎财经，获取并整理出最新的新闻、股票报价等一切你想要的财经信息。
-    pt_BR: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo!
-  icon: icon.png
-  tags:
-    - business
-    - finance
-credentials_for_provider:
diff --git a/api/core/tools/provider/builtin/youtube/_assets/icon.svg b/api/core/tools/provider/builtin/youtube/_assets/icon.svg
deleted file mode 100644
index 83b0700fec..0000000000
--- a/api/core/tools/provider/builtin/youtube/_assets/icon.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg width="800px" height="800px" viewBox="0 -38 256 256" version="1.1" xmlns="http://www.w3.org/2000/svg"
-     xmlns:xlink="http://www.w3.org/1999/xlink" preserveAspectRatio="xMidYMid">
-    <g>
-        <path d="M250.346231,28.0746923 C247.358133,17.0320558 238.732098,8.40602109 227.689461,5.41792308 C207.823743,0 127.868333,0 127.868333,0 C127.868333,0 47.9129229,0.164179487 28.0472049,5.58210256 C17.0045684,8.57020058 8.37853373,17.1962353 5.39043571,28.2388718 C-0.618533519,63.5374615 -2.94988224,117.322662 5.5546152,151.209308 C8.54271322,162.251944 17.1687479,170.877979 28.2113844,173.866077 C48.0771024,179.284 128.032513,179.284 128.032513,179.284 C128.032513,179.284 207.987923,179.284 227.853641,173.866077 C238.896277,170.877979 247.522312,162.251944 250.51041,151.209308 C256.847738,115.861464 258.801474,62.1091 250.346231,28.0746923 Z"
-              fill="#FF0000">
-        </path>
-        <polygon fill="#FFFFFF" points="102.420513 128.06 168.749025 89.642 102.420513 51.224">
-        </polygon>
-    </g>
-</svg>
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/youtube/tools/videos.py b/api/core/tools/provider/builtin/youtube/tools/videos.py
deleted file mode 100644
index a24fe89679..0000000000
--- a/api/core/tools/provider/builtin/youtube/tools/videos.py
+++ /dev/null
@@ -1,74 +0,0 @@
-from datetime import datetime
-from typing import Any, Union
-
-from googleapiclient.discovery import build  # type: ignore
-
-from core.tools.entities.tool_entities import ToolInvokeMessage
-from core.tools.tool.builtin_tool import BuiltinTool
-
-
-class YoutubeVideosAnalyticsTool(BuiltinTool):
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        """
-        invoke tools
-        """
-        channel = tool_parameters.get("channel", "")
-        if not channel:
-            return self.create_text_message("Please input symbol")
-
-        time_range = [None, None]
-        start_date = tool_parameters.get("start_date", "")
-        if start_date:
-            time_range[0] = start_date
-        else:
-            time_range[0] = "1800-01-01"
-
-        end_date = tool_parameters.get("end_date", "")
-        if end_date:
-            time_range[1] = end_date
-        else:
-            time_range[1] = datetime.now().strftime("%Y-%m-%d")
-
-        if "google_api_key" not in self.runtime.credentials or not self.runtime.credentials["google_api_key"]:
-            return self.create_text_message("Please input api key")
-
-        youtube = build("youtube", "v3", developerKey=self.runtime.credentials["google_api_key"])
-
-        # try to get channel id
-        search_results = youtube.search().list(q=channel, type="channel", order="relevance", part="id").execute()
-        channel_id = search_results["items"][0]["id"]["channelId"]
-
-        start_date, end_date = time_range
-
-        start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%Y-%m-%dT%H:%M:%SZ")
-        end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%Y-%m-%dT%H:%M:%SZ")
-
-        # get videos
-        time_range_videos = (
-            youtube.search()
-            .list(
-                part="snippet",
-                channelId=channel_id,
-                order="date",
-                type="video",
-                publishedAfter=start_date,
-                publishedBefore=end_date,
-            )
-            .execute()
-        )
-
-        def extract_video_data(video_list):
-            data = []
-            for video in video_list["items"]:
-                video_id = video["id"]["videoId"]
-                video_info = youtube.videos().list(part="snippet,statistics", id=video_id).execute()
-                title = video_info["items"][0]["snippet"]["title"]
-                views = video_info["items"][0]["statistics"]["viewCount"]
-                data.append({"Title": title, "Views": views})
-            return data
-
-        summary = extract_video_data(time_range_videos)
-
-        return self.create_text_message(str(summary))
diff --git a/api/core/tools/provider/builtin/youtube/tools/videos.yaml b/api/core/tools/provider/builtin/youtube/tools/videos.yaml
deleted file mode 100644
index 976699eb62..0000000000
--- a/api/core/tools/provider/builtin/youtube/tools/videos.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-identity:
-  name: youtube_video_statistics
-  author: Dify
-  label:
-    en_US: Video statistics
-    zh_Hans: 视频统计
-    pt_BR: Estatísticas de vídeo
-  icon: icon.svg
-description:
-  human:
-    en_US: A tool for get statistics about a channel's videos.
-    zh_Hans: 一个用于获取油管频道视频统计数据的工具。
-    pt_BR: Uma ferramenta para obter estatísticas sobre os vídeos de um canal.
-  llm: A tool for get statistics about a channel's videos. Input should be the name of the channel like PewDiePie.
-parameters:
-  - name: channel
-    type: string
-    required: true
-    label:
-      en_US: Channel name
-      zh_Hans: 频道名
-      pt_BR: Nome do canal
-    human_description:
-      en_US: The name of the channel you want to search.
-      zh_Hans: 你想要搜索的油管频道名。
-      pt_BR: O nome do canal que você deseja pesquisar.
-    llm_description: The name of the channel you want to search.
-    form: llm
-  - name: start_date
-    type: string
-    required: false
-    label:
-      en_US: Start date
-      zh_Hans: 开始日期
-      pt_BR: Data de início
-    human_description:
-      en_US: The start date of the analytics.
-      zh_Hans: 分析的开始日期。
-      pt_BR: A data de início da análise.
-    llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01.
-    form: llm
-  - name: end_date
-    type: string
-    required: false
-    label:
-      en_US: End date
-      zh_Hans: 结束日期
-      pt_BR: Data de término
-    human_description:
-      en_US: The end date of the analytics.
-      zh_Hans: 分析的结束日期。
-      pt_BR: A data de término da análise.
-    llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01.
-    form: llm
diff --git a/api/core/tools/provider/builtin/youtube/youtube.py b/api/core/tools/provider/builtin/youtube/youtube.py
deleted file mode 100644
index 07e430bcbf..0000000000
--- a/api/core/tools/provider/builtin/youtube/youtube.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from core.tools.errors import ToolProviderCredentialValidationError
-from core.tools.provider.builtin.youtube.tools.videos import YoutubeVideosAnalyticsTool
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-
-
-class YahooFinanceProvider(BuiltinToolProviderController):
-    def _validate_credentials(self, credentials: dict) -> None:
-        try:
-            YoutubeVideosAnalyticsTool().fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                }
-            ).invoke(
-                user_id="",
-                tool_parameters={
-                    "channel": "UC2JZCsZSOudXA08cMMRCL9g",
-                    "start_date": "2020-01-01",
-                    "end_date": "2024-12-31",
-                },
-            )
-        except Exception as e:
-            raise ToolProviderCredentialValidationError(str(e))
diff --git a/api/core/tools/provider/builtin/youtube/youtube.yaml b/api/core/tools/provider/builtin/youtube/youtube.yaml
deleted file mode 100644
index d6915b9a32..0000000000
--- a/api/core/tools/provider/builtin/youtube/youtube.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-identity:
-  author: Dify
-  name: youtube
-  label:
-    en_US: YouTube
-    zh_Hans: YouTube
-    pt_BR: YouTube
-  description:
-    en_US: YouTube
-    zh_Hans: YouTube（油管）是全球最大的视频分享网站，用户可以在上面上传、观看和分享视频。
-    pt_BR: YouTube é o maior site de compartilhamento de vídeos do mundo, onde os usuários podem fazer upload, assistir e compartilhar vídeos.
-  icon: icon.svg
-  tags:
-    - videos
-credentials_for_provider:
-  google_api_key:
-    type: secret-input
-    required: true
-    label:
-      en_US: Google API key
-      zh_Hans: Google API key
-      pt_BR: Chave da API do Google
-    placeholder:
-      en_US: Please input your Google API key
-      zh_Hans: 请输入你的 Google API key
-      pt_BR: Insira sua chave da API do Google
-    help:
-      en_US: Get your Google API key from Google
-      zh_Hans: 从 Google 获取您的 Google API key
-      pt_BR: Obtenha sua chave da API do Google no Google
-    url: https://console.developers.google.com/apis/credentials
diff --git a/api/core/tools/provider/builtin_tool_provider.py b/api/core/tools/provider/builtin_tool_provider.py
deleted file mode 100644
index 61de75ac5e..0000000000
--- a/api/core/tools/provider/builtin_tool_provider.py
+++ /dev/null
@@ -1,244 +0,0 @@
-from abc import abstractmethod
-from os import listdir, path
-from typing import Any, Optional
-
-from core.helper.module_import_helper import load_single_subclass_from_source
-from core.tools.entities.tool_entities import ToolParameter, ToolProviderCredentials, ToolProviderType
-from core.tools.entities.values import ToolLabelEnum, default_tool_label_dict
-from core.tools.errors import (
-    ToolNotFoundError,
-    ToolParameterValidationError,
-    ToolProviderNotFoundError,
-)
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.tool.tool import Tool
-from core.tools.utils.yaml_utils import load_yaml_file
-
-
-class BuiltinToolProviderController(ToolProviderController):
-    def __init__(self, **data: Any) -> None:
-        if self.provider_type in {ToolProviderType.API, ToolProviderType.APP}:
-            super().__init__(**data)
-            return
-
-        # load provider yaml
-        provider = self.__class__.__module__.split(".")[-1]
-        yaml_path = path.join(path.dirname(path.realpath(__file__)), "builtin", provider, f"{provider}.yaml")
-        try:
-            provider_yaml = load_yaml_file(yaml_path, ignore_error=False)
-        except Exception as e:
-            raise ToolProviderNotFoundError(f"can not load provider yaml for {provider}: {e}")
-
-        if "credentials_for_provider" in provider_yaml and provider_yaml["credentials_for_provider"] is not None:
-            # set credentials name
-            for credential_name in provider_yaml["credentials_for_provider"]:
-                provider_yaml["credentials_for_provider"][credential_name]["name"] = credential_name
-
-        super().__init__(
-            **{
-                "identity": provider_yaml["identity"],
-                "credentials_schema": provider_yaml.get("credentials_for_provider", None),
-            }
-        )
-
-    def _get_builtin_tools(self) -> list[Tool]:
-        """
-        returns a list of tools that the provider can provide
-
-        :return: list of tools
-        """
-        if self.tools:
-            return self.tools
-        if not self.identity:
-            return []
-
-        provider = self.identity.name
-        tool_path = path.join(path.dirname(path.realpath(__file__)), "builtin", provider, "tools")
-        # get all the yaml files in the tool path
-        tool_files = list(filter(lambda x: x.endswith(".yaml") and not x.startswith("__"), listdir(tool_path)))
-        tools = []
-        for tool_file in tool_files:
-            # get tool name
-            tool_name = tool_file.split(".")[0]
-            tool = load_yaml_file(path.join(tool_path, tool_file), ignore_error=False)
-
-            # get tool class, import the module
-            assistant_tool_class = load_single_subclass_from_source(
-                module_name=f"core.tools.provider.builtin.{provider}.tools.{tool_name}",
-                script_path=path.join(
-                    path.dirname(path.realpath(__file__)), "builtin", provider, "tools", f"{tool_name}.py"
-                ),
-                parent_type=BuiltinTool,
-            )
-            tool["identity"]["provider"] = provider
-            tools.append(assistant_tool_class(**tool))
-
-        self.tools = tools
-        return tools
-
-    def get_credentials_schema(self) -> dict[str, ToolProviderCredentials]:
-        """
-        returns the credentials schema of the provider
-
-        :return: the credentials schema
-        """
-        if not self.credentials_schema:
-            return {}
-
-        return self.credentials_schema.copy()
-
-    def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]:
-        """
-        returns a list of tools that the provider can provide
-
-        :return: list of tools
-        """
-        return self._get_builtin_tools()
-
-    def get_tool(self, tool_name: str) -> Optional[Tool]:
-        """
-        returns the tool that the provider can provide
-        """
-        tools = self.get_tools()
-        if tools is None:
-            raise ValueError("tools not found")
-        return next((t for t in tools if t.identity and t.identity.name == tool_name), None)
-
-    def get_parameters(self, tool_name: str) -> list[ToolParameter]:
-        """
-        returns the parameters of the tool
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :return: list of parameters
-        """
-        tools = self.get_tools()
-        if tools is None:
-            raise ToolNotFoundError(f"tool {tool_name} not found")
-        tool = next((t for t in tools if t.identity and t.identity.name == tool_name), None)
-        if tool is None:
-            raise ToolNotFoundError(f"tool {tool_name} not found")
-        return tool.parameters or []
-
-    @property
-    def need_credentials(self) -> bool:
-        """
-        returns whether the provider needs credentials
-
-        :return: whether the provider needs credentials
-        """
-        return self.credentials_schema is not None and len(self.credentials_schema) != 0
-
-    @property
-    def provider_type(self) -> ToolProviderType:
-        """
-        returns the type of the provider
-
-        :return: type of the provider
-        """
-        return ToolProviderType.BUILT_IN
-
-    @property
-    def tool_labels(self) -> list[str]:
-        """
-        returns the labels of the provider
-
-        :return: labels of the provider
-        """
-        label_enums = self._get_tool_labels()
-        return [default_tool_label_dict[label].name for label in label_enums]
-
-    def _get_tool_labels(self) -> list[ToolLabelEnum]:
-        """
-        returns the labels of the provider
-        """
-        if self.identity is None:
-            return []
-        return self.identity.tags or []
-
-    def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None:
-        """
-        validate the parameters of the tool and set the default value if needed
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :param tool_parameters: the parameters of the tool
-        """
-        tool_parameters_schema = self.get_parameters(tool_name)
-
-        tool_parameters_need_to_validate: dict[str, ToolParameter] = {}
-        for parameter in tool_parameters_schema:
-            tool_parameters_need_to_validate[parameter.name] = parameter
-
-        for parameter_name in tool_parameters:
-            if parameter_name not in tool_parameters_need_to_validate:
-                raise ToolParameterValidationError(f"parameter {parameter_name} not found in tool {tool_name}")
-
-            # check type
-            parameter_schema = tool_parameters_need_to_validate[parameter_name]
-            if parameter_schema.type == ToolParameter.ToolParameterType.STRING:
-                if not isinstance(tool_parameters[parameter_name], str):
-                    raise ToolParameterValidationError(f"parameter {parameter_name} should be string")
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.NUMBER:
-                if not isinstance(tool_parameters[parameter_name], int | float):
-                    raise ToolParameterValidationError(f"parameter {parameter_name} should be number")
-
-                if parameter_schema.min is not None and tool_parameters[parameter_name] < parameter_schema.min:
-                    raise ToolParameterValidationError(
-                        f"parameter {parameter_name} should be greater than {parameter_schema.min}"
-                    )
-
-                if parameter_schema.max is not None and tool_parameters[parameter_name] > parameter_schema.max:
-                    raise ToolParameterValidationError(
-                        f"parameter {parameter_name} should be less than {parameter_schema.max}"
-                    )
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.BOOLEAN:
-                if not isinstance(tool_parameters[parameter_name], bool):
-                    raise ToolParameterValidationError(f"parameter {parameter_name} should be boolean")
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.SELECT:
-                if not isinstance(tool_parameters[parameter_name], str):
-                    raise ToolParameterValidationError(f"parameter {parameter_name} should be string")
-
-                options = parameter_schema.options
-                if not isinstance(options, list):
-                    raise ToolParameterValidationError(f"parameter {parameter_name} options should be list")
-
-                if tool_parameters[parameter_name] not in [x.value for x in options]:
-                    raise ToolParameterValidationError(f"parameter {parameter_name} should be one of {options}")
-
-            tool_parameters_need_to_validate.pop(parameter_name)
-
-        for parameter_name in tool_parameters_need_to_validate:
-            parameter_schema = tool_parameters_need_to_validate[parameter_name]
-            if parameter_schema.required:
-                raise ToolParameterValidationError(f"parameter {parameter_name} is required")
-
-            # the parameter is not set currently, set the default value if needed
-            if parameter_schema.default is not None:
-                default_value = parameter_schema.type.cast_value(parameter_schema.default)
-                tool_parameters[parameter_name] = default_value
-
-    def validate_credentials(self, credentials: dict[str, Any]) -> None:
-        """
-        validate the credentials of the provider
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :param credentials: the credentials of the tool
-        """
-        # validate credentials format
-        self.validate_credentials_format(credentials)
-
-        # validate credentials
-        self._validate_credentials(credentials)
-
-    @abstractmethod
-    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
-        """
-        validate the credentials of the provider
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :param credentials: the credentials of the tool
-        """
-        pass
diff --git a/api/core/tools/provider/tool_provider.py b/api/core/tools/provider/tool_provider.py
deleted file mode 100644
index e35207e4f0..0000000000
--- a/api/core/tools/provider/tool_provider.py
+++ /dev/null
@@ -1,201 +0,0 @@
-from abc import ABC, abstractmethod
-from typing import Any, Optional
-
-from pydantic import BaseModel
-
-from core.tools.entities.tool_entities import (
-    ToolParameter,
-    ToolProviderCredentials,
-    ToolProviderIdentity,
-    ToolProviderType,
-)
-from core.tools.errors import ToolNotFoundError, ToolParameterValidationError, ToolProviderCredentialValidationError
-from core.tools.tool.tool import Tool
-
-
-class ToolProviderController(BaseModel, ABC):
-    identity: Optional[ToolProviderIdentity] = None
-    tools: Optional[list[Tool]] = None
-    credentials_schema: Optional[dict[str, ToolProviderCredentials]] = None
-
-    def get_credentials_schema(self) -> dict[str, ToolProviderCredentials]:
-        """
-        returns the credentials schema of the provider
-
-        :return: the credentials schema
-        """
-        if self.credentials_schema is None:
-            return {}
-        return self.credentials_schema.copy()
-
-    @abstractmethod
-    def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]:
-        """
-        returns a list of tools that the provider can provide
-
-        :return: list of tools
-        """
-        pass
-
-    @abstractmethod
-    def get_tool(self, tool_name: str) -> Optional[Tool]:
-        """
-        returns a tool that the provider can provide
-
-        :return: tool
-        """
-        pass
-
-    def get_parameters(self, tool_name: str) -> list[ToolParameter]:
-        """
-        returns the parameters of the tool
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :return: list of parameters
-        """
-        tools = self.get_tools()
-        if tools is None:
-            raise ToolNotFoundError(f"tool {tool_name} not found")
-        tool = next((t for t in tools if t.identity and t.identity.name == tool_name), None)
-        if tool is None:
-            raise ToolNotFoundError(f"tool {tool_name} not found")
-        return tool.parameters or []
-
-    @property
-    def provider_type(self) -> ToolProviderType:
-        """
-        returns the type of the provider
-
-        :return: type of the provider
-        """
-        return ToolProviderType.BUILT_IN
-
-    def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None:
-        """
-        validate the parameters of the tool and set the default value if needed
-
-        :param tool_name: the name of the tool, defined in `get_tools`
-        :param tool_parameters: the parameters of the tool
-        """
-        tool_parameters_schema = self.get_parameters(tool_name)
-
-        tool_parameters_need_to_validate: dict[str, ToolParameter] = {}
-        for parameter in tool_parameters_schema:
-            tool_parameters_need_to_validate[parameter.name] = parameter
-
-        for tool_parameter in tool_parameters:
-            if tool_parameter not in tool_parameters_need_to_validate:
-                raise ToolParameterValidationError(f"parameter {tool_parameter} not found in tool {tool_name}")
-
-            # check type
-            parameter_schema = tool_parameters_need_to_validate[tool_parameter]
-            if parameter_schema.type == ToolParameter.ToolParameterType.STRING:
-                if not isinstance(tool_parameters[tool_parameter], str):
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} should be string")
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.NUMBER:
-                if not isinstance(tool_parameters[tool_parameter], int | float):
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} should be number")
-
-                if parameter_schema.min is not None and tool_parameters[tool_parameter] < parameter_schema.min:
-                    raise ToolParameterValidationError(
-                        f"parameter {tool_parameter} should be greater than {parameter_schema.min}"
-                    )
-
-                if parameter_schema.max is not None and tool_parameters[tool_parameter] > parameter_schema.max:
-                    raise ToolParameterValidationError(
-                        f"parameter {tool_parameter} should be less than {parameter_schema.max}"
-                    )
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.BOOLEAN:
-                if not isinstance(tool_parameters[tool_parameter], bool):
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} should be boolean")
-
-            elif parameter_schema.type == ToolParameter.ToolParameterType.SELECT:
-                if not isinstance(tool_parameters[tool_parameter], str):
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} should be string")
-
-                options = parameter_schema.options
-                if not isinstance(options, list):
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} options should be list")
-
-                if tool_parameters[tool_parameter] not in [x.value for x in options]:
-                    raise ToolParameterValidationError(f"parameter {tool_parameter} should be one of {options}")
-
-            tool_parameters_need_to_validate.pop(tool_parameter)
-
-        for tool_parameter_validate in tool_parameters_need_to_validate:
-            parameter_schema = tool_parameters_need_to_validate[tool_parameter_validate]
-            if parameter_schema.required:
-                raise ToolParameterValidationError(f"parameter {tool_parameter_validate} is required")
-
-            # the parameter is not set currently, set the default value if needed
-            if parameter_schema.default is not None:
-                tool_parameters[tool_parameter_validate] = parameter_schema.type.cast_value(parameter_schema.default)
-
-    def validate_credentials_format(self, credentials: dict[str, Any]) -> None:
-        """
-        validate the format of the credentials of the provider and set the default value if needed
-
-        :param credentials: the credentials of the tool
-        """
-        credentials_schema = self.credentials_schema
-        if credentials_schema is None:
-            return
-
-        credentials_need_to_validate: dict[str, ToolProviderCredentials] = {}
-        for credential_name in credentials_schema:
-            credentials_need_to_validate[credential_name] = credentials_schema[credential_name]
-
-        for credential_name in credentials:
-            if credential_name not in credentials_need_to_validate:
-                if self.identity is None:
-                    raise ValueError("identity is not set")
-                raise ToolProviderCredentialValidationError(
-                    f"credential {credential_name} not found in provider {self.identity.name}"
-                )
-
-            # check type
-            credential_schema = credentials_need_to_validate[credential_name]
-            if not credential_schema.required and credentials[credential_name] is None:
-                continue
-
-            if credential_schema.type in {
-                ToolProviderCredentials.CredentialsType.SECRET_INPUT,
-                ToolProviderCredentials.CredentialsType.TEXT_INPUT,
-            }:
-                if not isinstance(credentials[credential_name], str):
-                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
-
-            elif credential_schema.type == ToolProviderCredentials.CredentialsType.SELECT:
-                if not isinstance(credentials[credential_name], str):
-                    raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string")
-
-                options = credential_schema.options
-                if not isinstance(options, list):
-                    raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list")
-
-                if credentials[credential_name] not in [x.value for x in options]:
-                    raise ToolProviderCredentialValidationError(
-                        f"credential {credential_name} should be one of {options}"
-                    )
-
-            credentials_need_to_validate.pop(credential_name)
-
-        for credential_name in credentials_need_to_validate:
-            credential_schema = credentials_need_to_validate[credential_name]
-            if credential_schema.required:
-                raise ToolProviderCredentialValidationError(f"credential {credential_name} is required")
-
-            # the credential is not set currently, set the default value if needed
-            if credential_schema.default is not None:
-                default_value = credential_schema.default
-                # parse default value into the correct type
-                if credential_schema.type in {
-                    ToolProviderCredentials.CredentialsType.SECRET_INPUT,
-                    ToolProviderCredentials.CredentialsType.TEXT_INPUT,
-                    ToolProviderCredentials.CredentialsType.SELECT,
-                }:
-                    default_value = str(default_value)
-
-                credentials[credential_name] = default_value
diff --git a/api/core/tools/tool/tool.py b/api/core/tools/tool/tool.py
deleted file mode 100644
index 4094207beb..0000000000
--- a/api/core/tools/tool/tool.py
+++ /dev/null
@@ -1,355 +0,0 @@
-from abc import ABC, abstractmethod
-from collections.abc import Mapping
-from copy import deepcopy
-from enum import Enum, StrEnum
-from typing import TYPE_CHECKING, Any, Optional, Union
-
-from pydantic import BaseModel, ConfigDict, field_validator
-from pydantic_core.core_schema import ValidationInfo
-
-from core.app.entities.app_invoke_entities import InvokeFrom
-from core.tools.entities.tool_entities import (
-    ToolDescription,
-    ToolIdentity,
-    ToolInvokeFrom,
-    ToolInvokeMessage,
-    ToolParameter,
-    ToolProviderType,
-    ToolRuntimeImageVariable,
-    ToolRuntimeVariable,
-    ToolRuntimeVariablePool,
-)
-from core.tools.tool_file_manager import ToolFileManager
-
-if TYPE_CHECKING:
-    from core.file.models import File
-
-
-class Tool(BaseModel, ABC):
-    identity: Optional[ToolIdentity] = None
-    parameters: Optional[list[ToolParameter]] = None
-    description: Optional[ToolDescription] = None
-    is_team_authorization: bool = False
-
-    # pydantic configs
-    model_config = ConfigDict(protected_namespaces=())
-
-    @field_validator("parameters", mode="before")
-    @classmethod
-    def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]:
-        return v or []
-
-    class Runtime(BaseModel):
-        """
-        Meta data of a tool call processing
-        """
-
-        def __init__(self, **data: Any):
-            super().__init__(**data)
-            if not self.runtime_parameters:
-                self.runtime_parameters = {}
-
-        tenant_id: Optional[str] = None
-        tool_id: Optional[str] = None
-        invoke_from: Optional[InvokeFrom] = None
-        tool_invoke_from: Optional[ToolInvokeFrom] = None
-        credentials: Optional[dict[str, Any]] = None
-        runtime_parameters: Optional[dict[str, Any]] = None
-
-    runtime: Optional[Runtime] = None
-    variables: Optional[ToolRuntimeVariablePool] = None
-
-    def __init__(self, **data: Any):
-        super().__init__(**data)
-
-    class VariableKey(StrEnum):
-        IMAGE = "image"
-        DOCUMENT = "document"
-        VIDEO = "video"
-        AUDIO = "audio"
-        CUSTOM = "custom"
-
-    def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool":
-        """
-        fork a new tool with meta data
-
-        :param meta: the meta data of a tool call processing, tenant_id is required
-        :return: the new tool
-        """
-        return self.__class__(
-            identity=self.identity.model_copy() if self.identity else None,
-            parameters=self.parameters.copy() if self.parameters else None,
-            description=self.description.model_copy() if self.description else None,
-            runtime=Tool.Runtime(**runtime),
-        )
-
-    @abstractmethod
-    def tool_provider_type(self) -> ToolProviderType:
-        """
-        get the tool provider type
-
-        :return: the tool provider type
-        """
-
-    def load_variables(self, variables: ToolRuntimeVariablePool | None) -> None:
-        """
-        load variables from database
-
-        :param conversation_id: the conversation id
-        """
-        self.variables = variables
-
-    def set_image_variable(self, variable_name: str, image_key: str) -> None:
-        """
-        set an image variable
-        """
-        if not self.variables:
-            return
-        if self.identity is None:
-            return
-
-        self.variables.set_file(self.identity.name, variable_name, image_key)
-
-    def set_text_variable(self, variable_name: str, text: str) -> None:
-        """
-        set a text variable
-        """
-        if not self.variables:
-            return
-        if self.identity is None:
-            return
-
-        self.variables.set_text(self.identity.name, variable_name, text)
-
-    def get_variable(self, name: Union[str, Enum]) -> Optional[ToolRuntimeVariable]:
-        """
-        get a variable
-
-        :param name: the name of the variable
-        :return: the variable
-        """
-        if not self.variables:
-            return None
-
-        if isinstance(name, Enum):
-            name = name.value
-
-        for variable in self.variables.pool:
-            if variable.name == name:
-                return variable
-
-        return None
-
-    def get_default_image_variable(self) -> Optional[ToolRuntimeVariable]:
-        """
-        get the default image variable
-
-        :return: the image variable
-        """
-        if not self.variables:
-            return None
-
-        return self.get_variable(self.VariableKey.IMAGE)
-
-    def get_variable_file(self, name: Union[str, Enum]) -> Optional[bytes]:
-        """
-        get a variable file
-
-        :param name: the name of the variable
-        :return: the variable file
-        """
-        variable = self.get_variable(name)
-        if not variable:
-            return None
-
-        if not isinstance(variable, ToolRuntimeImageVariable):
-            return None
-
-        message_file_id = variable.value
-        # get file binary
-        file_binary = ToolFileManager.get_file_binary_by_message_file_id(message_file_id)
-        if not file_binary:
-            return None
-
-        return file_binary[0]
-
-    def list_variables(self) -> list[ToolRuntimeVariable]:
-        """
-        list all variables
-
-        :return: the variables
-        """
-        if not self.variables:
-            return []
-
-        return self.variables.pool
-
-    def list_default_image_variables(self) -> list[ToolRuntimeVariable]:
-        """
-        list all image variables
-
-        :return: the image variables
-        """
-        if not self.variables:
-            return []
-
-        result = []
-
-        for variable in self.variables.pool:
-            if variable.name.startswith(self.VariableKey.IMAGE.value):
-                result.append(variable)
-
-        return result
-
-    def invoke(self, user_id: str, tool_parameters: Mapping[str, Any]) -> list[ToolInvokeMessage]:
-        # update tool_parameters
-        # TODO: Fix type error.
-        if self.runtime is None:
-            return []
-        if self.runtime.runtime_parameters:
-            # Convert Mapping to dict before updating
-            tool_parameters = dict(tool_parameters)
-            tool_parameters.update(self.runtime.runtime_parameters)
-
-        # try parse tool parameters into the correct type
-        tool_parameters = self._transform_tool_parameters_type(tool_parameters)
-
-        result = self._invoke(
-            user_id=user_id,
-            tool_parameters=tool_parameters,
-        )
-
-        if not isinstance(result, list):
-            result = [result]
-
-        if not all(isinstance(message, ToolInvokeMessage) for message in result):
-            raise ValueError(
-                f"Invalid return type from {self.__class__.__name__}._invoke method. "
-                "Expected ToolInvokeMessage or list of ToolInvokeMessage."
-            )
-
-        return result
-
-    def _transform_tool_parameters_type(self, tool_parameters: Mapping[str, Any]) -> dict[str, Any]:
-        """
-        Transform tool parameters type
-        """
-        # Temp fix for the issue that the tool parameters will be converted to empty while validating the credentials
-        result: dict[str, Any] = deepcopy(dict(tool_parameters))
-        for parameter in self.parameters or []:
-            if parameter.name in tool_parameters:
-                result[parameter.name] = parameter.type.cast_value(tool_parameters[parameter.name])
-
-        return result
-
-    @abstractmethod
-    def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
-        pass
-
-    def validate_credentials(
-        self, credentials: dict[str, Any], parameters: dict[str, Any], format_only: bool = False
-    ) -> str | None:
-        """
-        validate the credentials
-
-        :param credentials: the credentials
-        :param parameters: the parameters
-        :param format_only: only return the formatted
-        """
-        pass
-
-    def get_runtime_parameters(self) -> list[ToolParameter]:
-        """
-        get the runtime parameters
-
-        interface for developer to dynamic change the parameters of a tool depends on the variables pool
-
-        :return: the runtime parameters
-        """
-        return self.parameters or []
-
-    def get_all_runtime_parameters(self) -> list[ToolParameter]:
-        """
-        get all runtime parameters
-
-        :return: all runtime parameters
-        """
-        parameters = self.parameters or []
-        parameters = parameters.copy()
-        user_parameters = self.get_runtime_parameters()
-        user_parameters = user_parameters.copy()
-
-        # override parameters
-        for parameter in user_parameters:
-            # check if parameter in tool parameters
-            found = False
-            for tool_parameter in parameters:
-                if tool_parameter.name == parameter.name:
-                    found = True
-                    break
-
-            if found:
-                # override parameter
-                tool_parameter.type = parameter.type
-                tool_parameter.form = parameter.form
-                tool_parameter.required = parameter.required
-                tool_parameter.default = parameter.default
-                tool_parameter.options = parameter.options
-                tool_parameter.llm_description = parameter.llm_description
-            else:
-                # add new parameter
-                parameters.append(parameter)
-
-        return parameters
-
-    def create_image_message(self, image: str, save_as: str = "") -> ToolInvokeMessage:
-        """
-        create an image message
-
-        :param image: the url of the image
-        :return: the image message
-        """
-        return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.IMAGE, message=image, save_as=save_as)
-
-    def create_file_message(self, file: "File") -> ToolInvokeMessage:
-        return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.FILE, message="", meta={"file": file}, save_as="")
-
-    def create_link_message(self, link: str, save_as: str = "") -> ToolInvokeMessage:
-        """
-        create a link message
-
-        :param link: the url of the link
-        :return: the link message
-        """
-        return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.LINK, message=link, save_as=save_as)
-
-    def create_text_message(self, text: str, save_as: str = "") -> ToolInvokeMessage:
-        """
-        create a text message
-
-        :param text: the text
-        :return: the text message
-        """
-        return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.TEXT, message=text, save_as=save_as)
-
-    def create_blob_message(self, blob: bytes, meta: Optional[dict] = None, save_as: str = "") -> ToolInvokeMessage:
-        """
-        create a blob message
-
-        :param blob: the blob
-        :return: the blob message
-        """
-        return ToolInvokeMessage(
-            type=ToolInvokeMessage.MessageType.BLOB,
-            message=blob,
-            meta=meta or {},
-            save_as=save_as,
-        )
-
-    def create_json_message(self, object: dict) -> ToolInvokeMessage:
-        """
-        create a json message
-        """
-        return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.JSON, message=object)
diff --git a/api/core/tools/tool_engine.py b/api/core/tools/tool_engine.py
index f7a8ed63f4..2ad52a46c9 100644
--- a/api/core/tools/tool_engine.py
+++ b/api/core/tools/tool_engine.py
@@ -1,5 +1,5 @@
 import json
-from collections.abc import Mapping
+from collections.abc import Generator, Iterable
 from copy import deepcopy
 from datetime import UTC, datetime
 from mimetypes import guess_type
@@ -13,7 +13,13 @@ from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCal
 from core.file import FileType
 from core.file.models import FileTransferMethod
 from core.ops.ops_trace_manager import TraceQueueManager
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolInvokeMessageBinary, ToolInvokeMeta, ToolParameter
+from core.tools.__base.tool import Tool
+from core.tools.entities.tool_entities import (
+    ToolInvokeMessage,
+    ToolInvokeMessageBinary,
+    ToolInvokeMeta,
+    ToolParameter,
+)
 from core.tools.errors import (
     ToolEngineInvokeError,
     ToolInvokeError,
@@ -23,9 +29,8 @@ from core.tools.errors import (
     ToolProviderCredentialValidationError,
     ToolProviderNotFoundError,
 )
-from core.tools.tool.tool import Tool
-from core.tools.tool.workflow_tool import WorkflowTool
 from core.tools.utils.message_transformer import ToolFileMessageTransformer
+from core.tools.workflow_as_tool.tool import WorkflowTool
 from extensions.ext_database import db
 from models.enums import CreatedByRole
 from models.model import Message, MessageFile
@@ -46,7 +51,10 @@ class ToolEngine:
         invoke_from: InvokeFrom,
         agent_tool_callback: DifyAgentCallbackHandler,
         trace_manager: Optional[TraceQueueManager] = None,
-    ) -> tuple[str, list[tuple[MessageFile, str]], ToolInvokeMeta]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> tuple[str, list[str], ToolInvokeMeta]:
         """
         Agent invokes the tool with the given arguments.
         """
@@ -63,35 +71,50 @@ class ToolEngine:
             else:
                 try:
                     tool_parameters = json.loads(tool_parameters)
-                except Exception as e:
+                except Exception:
                     pass
                 if not isinstance(tool_parameters, dict):
                     raise ValueError(f"tool_parameters should be a dict, but got a string: {tool_parameters}")
 
-        # invoke the tool
-        if tool.identity is None:
-            raise ValueError("tool identity is not set")
         try:
             # hit the callback handler
-            agent_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters)
+            agent_tool_callback.on_tool_start(tool_name=tool.entity.identity.name, tool_inputs=tool_parameters)
 
-            meta, response = ToolEngine._invoke(tool, tool_parameters, user_id)
-            response = ToolFileMessageTransformer.transform_tool_invoke_messages(
-                messages=response, user_id=user_id, tenant_id=tenant_id, conversation_id=message.conversation_id
+            messages = ToolEngine._invoke(tool, tool_parameters, user_id, conversation_id, app_id, message_id)
+            invocation_meta_dict: dict[str, ToolInvokeMeta] = {}
+
+            def message_callback(
+                invocation_meta_dict: dict, messages: Generator[ToolInvokeMessage | ToolInvokeMeta, None, None]
+            ):
+                for message in messages:
+                    if isinstance(message, ToolInvokeMeta):
+                        invocation_meta_dict["meta"] = message
+                    else:
+                        yield message
+
+            messages = ToolFileMessageTransformer.transform_tool_invoke_messages(
+                messages=message_callback(invocation_meta_dict, messages),
+                user_id=user_id,
+                tenant_id=tenant_id,
+                conversation_id=message.conversation_id,
             )
 
+            message_list = list(messages)
+
             # extract binary data from tool invoke message
-            binary_files = ToolEngine._extract_tool_response_binary(response)
+            binary_files = ToolEngine._extract_tool_response_binary_and_text(message_list)
             # create message file
             message_files = ToolEngine._create_message_files(
                 tool_messages=binary_files, agent_message=message, invoke_from=invoke_from, user_id=user_id
             )
 
-            plain_text = ToolEngine._convert_tool_response_to_str(response)
+            plain_text = ToolEngine._convert_tool_response_to_str(message_list)
+
+            meta = invocation_meta_dict["meta"]
 
             # hit the callback handler
             agent_tool_callback.on_tool_end(
-                tool_name=tool.identity.name,
+                tool_name=tool.entity.identity.name,
                 tool_inputs=tool_parameters,
                 tool_outputs=plain_text,
                 message_id=message.id,
@@ -104,7 +127,7 @@ class ToolEngine:
             error_response = "Please check your tool provider credentials"
             agent_tool_callback.on_tool_error(e)
         except (ToolNotFoundError, ToolNotSupportedError, ToolProviderNotFoundError) as e:
-            error_response = f"there is not a tool named {tool.identity.name}"
+            error_response = f"there is not a tool named {tool.entity.identity.name}"
             agent_tool_callback.on_tool_error(e)
         except ToolParameterValidationError as e:
             error_response = f"tool parameters validation error: {e}, please check your tool parameters"
@@ -124,21 +147,23 @@ class ToolEngine:
         return error_response, [], ToolInvokeMeta.error_instance(error_response)
 
     @staticmethod
-    def workflow_invoke(
+    def generic_invoke(
         tool: Tool,
-        tool_parameters: Mapping[str, Any],
+        tool_parameters: dict[str, Any],
         user_id: str,
         workflow_tool_callback: DifyWorkflowCallbackHandler,
         workflow_call_depth: int,
         thread_pool_id: Optional[str] = None,
-    ) -> list[ToolInvokeMessage]:
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Workflow invokes the tool with the given arguments.
         """
         try:
             # hit the callback handler
-            assert tool.identity is not None
-            workflow_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters)
+            workflow_tool_callback.on_tool_start(tool_name=tool.entity.identity.name, tool_inputs=tool_parameters)
 
             if isinstance(tool, WorkflowTool):
                 tool.workflow_call_depth = workflow_call_depth + 1
@@ -146,11 +171,18 @@ class ToolEngine:
 
             if tool.runtime and tool.runtime.runtime_parameters:
                 tool_parameters = {**tool.runtime.runtime_parameters, **tool_parameters}
-            response = tool.invoke(user_id=user_id, tool_parameters=tool_parameters)
+
+            response = tool.invoke(
+                user_id=user_id,
+                tool_parameters=tool_parameters,
+                conversation_id=conversation_id,
+                app_id=app_id,
+                message_id=message_id,
+            )
 
             # hit the callback handler
-            workflow_tool_callback.on_tool_end(
-                tool_name=tool.identity.name,
+            response = workflow_tool_callback.on_tool_execution(
+                tool_name=tool.entity.identity.name,
                 tool_inputs=tool_parameters,
                 tool_outputs=response,
             )
@@ -161,34 +193,38 @@ class ToolEngine:
             raise e
 
     @staticmethod
-    def _invoke(tool: Tool, tool_parameters: dict, user_id: str) -> tuple[ToolInvokeMeta, list[ToolInvokeMessage]]:
+    def _invoke(
+        tool: Tool,
+        tool_parameters: dict,
+        user_id: str,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage | ToolInvokeMeta, None, None]:
         """
         Invoke the tool with the given arguments.
         """
-        if tool.identity is None:
-            raise ValueError("tool identity is not set")
         started_at = datetime.now(UTC)
         meta = ToolInvokeMeta(
             time_cost=0.0,
             error=None,
             tool_config={
-                "tool_name": tool.identity.name,
-                "tool_provider": tool.identity.provider,
+                "tool_name": tool.entity.identity.name,
+                "tool_provider": tool.entity.identity.provider,
                 "tool_provider_type": tool.tool_provider_type().value,
-                "tool_parameters": deepcopy(tool.runtime.runtime_parameters) if tool.runtime else {},
-                "tool_icon": tool.identity.icon,
+                "tool_parameters": deepcopy(tool.runtime.runtime_parameters),
+                "tool_icon": tool.entity.identity.icon,
             },
         )
         try:
-            response = tool.invoke(user_id, tool_parameters)
+            yield from tool.invoke(user_id, tool_parameters, conversation_id, app_id, message_id)
         except Exception as e:
             meta.error = str(e)
             raise ToolEngineInvokeError(meta)
         finally:
             ended_at = datetime.now(UTC)
             meta.time_cost = (ended_at - started_at).total_seconds()
-
-        return meta, response
+            yield meta
 
     @staticmethod
     def _convert_tool_response_to_str(tool_response: list[ToolInvokeMessage]) -> str:
@@ -198,36 +234,42 @@ class ToolEngine:
         result = ""
         for response in tool_response:
             if response.type == ToolInvokeMessage.MessageType.TEXT:
-                result += str(response.message) if response.message is not None else ""
+                result += cast(ToolInvokeMessage.TextMessage, response.message).text
             elif response.type == ToolInvokeMessage.MessageType.LINK:
-                result += f"result link: {response.message!r}. please tell user to check it."
+                result += (
+                    f"result link: {cast(ToolInvokeMessage.TextMessage, response.message).text}."
+                    + " please tell user to check it."
+                )
             elif response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}:
                 result += (
-                    "image has been created and sent to user already, you do not need to create it,"
-                    " just tell the user to check it now."
+                    "image has been created and sent to user already, "
+                    + "you do not need to create it, just tell the user to check it now."
                 )
             elif response.type == ToolInvokeMessage.MessageType.JSON:
-                result += f"tool response: {json.dumps(response.message, ensure_ascii=False)}."
+                text = json.dumps(cast(ToolInvokeMessage.JsonMessage, response.message).json_object, ensure_ascii=False)
+                result += f"tool response: {text}."
             else:
                 result += f"tool response: {response.message!r}."
 
         return result
 
     @staticmethod
-    def _extract_tool_response_binary(tool_response: list[ToolInvokeMessage]) -> list[ToolInvokeMessageBinary]:
+    def _extract_tool_response_binary_and_text(
+        tool_response: list[ToolInvokeMessage],
+    ) -> Generator[ToolInvokeMessageBinary, None, None]:
         """
         Extract tool response binary
         """
-        result = []
-
         for response in tool_response:
             if response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}:
                 mimetype = None
+                if not response.meta:
+                    raise ValueError("missing meta data")
                 if response.meta.get("mime_type"):
                     mimetype = response.meta.get("mime_type")
                 else:
                     try:
-                        url = URL(cast(str, response.message))
+                        url = URL(cast(ToolInvokeMessage.TextMessage, response.message).text)
                         extension = url.suffix
                         guess_type_result, _ = guess_type(f"a{extension}")
                         if guess_type_result:
@@ -238,48 +280,38 @@ class ToolEngine:
                 if not mimetype:
                     mimetype = "image/jpeg"
 
-                result.append(
-                    ToolInvokeMessageBinary(
-                        mimetype=response.meta.get("mime_type", "image/jpeg"),
-                        url=cast(str, response.message),
-                        save_as=response.save_as,
-                    )
+                yield ToolInvokeMessageBinary(
+                    mimetype=response.meta.get("mime_type", "image/jpeg"),
+                    url=cast(ToolInvokeMessage.TextMessage, response.message).text,
                 )
             elif response.type == ToolInvokeMessage.MessageType.BLOB:
-                result.append(
-                    ToolInvokeMessageBinary(
-                        mimetype=response.meta.get("mime_type", "octet/stream"),
-                        url=cast(str, response.message),
-                        save_as=response.save_as,
-                    )
+                if not response.meta:
+                    raise ValueError("missing meta data")
+
+                yield ToolInvokeMessageBinary(
+                    mimetype=response.meta.get("mime_type", "octet/stream"),
+                    url=cast(ToolInvokeMessage.TextMessage, response.message).text,
                 )
             elif response.type == ToolInvokeMessage.MessageType.LINK:
                 # check if there is a mime type in meta
                 if response.meta and "mime_type" in response.meta:
-                    result.append(
-                        ToolInvokeMessageBinary(
-                            mimetype=response.meta.get("mime_type", "octet/stream")
-                            if response.meta
-                            else "octet/stream",
-                            url=cast(str, response.message),
-                            save_as=response.save_as,
-                        )
+                    yield ToolInvokeMessageBinary(
+                        mimetype=response.meta.get("mime_type", "octet/stream") if response.meta else "octet/stream",
+                        url=cast(ToolInvokeMessage.TextMessage, response.message).text,
                     )
 
-        return result
-
     @staticmethod
     def _create_message_files(
-        tool_messages: list[ToolInvokeMessageBinary],
+        tool_messages: Iterable[ToolInvokeMessageBinary],
         agent_message: Message,
         invoke_from: InvokeFrom,
         user_id: str,
-    ) -> list[tuple[Any, str]]:
+    ) -> list[str]:
         """
         Create message file
 
         :param messages: messages
-        :return: message files, should save as variable
+        :return: message file ids
         """
         result = []
 
@@ -316,7 +348,7 @@ class ToolEngine:
             db.session.commit()
             db.session.refresh(message_file)
 
-            result.append((message_file.id, message.save_as))
+            result.append(message_file.id)
 
         db.session.close()
 
diff --git a/api/core/tools/tool_file_manager.py b/api/core/tools/tool_file_manager.py
index 2aaca6d82e..967cddac6c 100644
--- a/api/core/tools/tool_file_manager.py
+++ b/api/core/tools/tool_file_manager.py
@@ -90,15 +90,15 @@ class ToolFileManager:
     def create_file_by_url(
         user_id: str,
         tenant_id: str,
-        conversation_id: str | None,
         file_url: str,
+        conversation_id: Optional[str] = None,
     ) -> ToolFile:
         # try to download image
         try:
             response = ssrf_proxy.get(file_url)
             response.raise_for_status()
             blob = response.content
-        except httpx.TimeoutException as e:
+        except httpx.TimeoutException:
             raise ValueError(f"timeout when downloading file from {file_url}")
 
         mimetype = guess_type(file_url)[0] or "octet/stream"
@@ -133,7 +133,7 @@ class ToolFileManager:
 
         :return: the binary of the file, mime type
         """
-        tool_file = (
+        tool_file: ToolFile | None = (
             db.session.query(ToolFile)
             .filter(
                 ToolFile.id == id,
@@ -157,7 +157,7 @@ class ToolFileManager:
 
         :return: the binary of the file, mime type
         """
-        message_file = (
+        message_file: MessageFile | None = (
             db.session.query(MessageFile)
             .filter(
                 MessageFile.id == id,
@@ -177,7 +177,7 @@ class ToolFileManager:
         else:
             tool_file_id = None
 
-        tool_file = (
+        tool_file: ToolFile | None = (
             db.session.query(ToolFile)
             .filter(
                 ToolFile.id == tool_file_id,
@@ -201,7 +201,7 @@ class ToolFileManager:
 
         :return: the binary of the file, mime type
         """
-        tool_file = (
+        tool_file: ToolFile | None = (
             db.session.query(ToolFile)
             .filter(
                 ToolFile.id == tool_file_id,
diff --git a/api/core/tools/tool_label_manager.py b/api/core/tools/tool_label_manager.py
index e53985951b..4787d7d79c 100644
--- a/api/core/tools/tool_label_manager.py
+++ b/api/core/tools/tool_label_manager.py
@@ -1,8 +1,8 @@
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+from core.tools.custom_tool.provider import ApiToolProviderController
 from core.tools.entities.values import default_tool_label_name_list
-from core.tools.provider.api_tool_provider import ApiToolProviderController
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController
+from core.tools.workflow_as_tool.provider import WorkflowToolProviderController
 from extensions.ext_database import db
 from models.tools import ToolLabelBinding
 
@@ -55,7 +55,7 @@ class ToolLabelManager:
         else:
             raise ValueError("Unsupported tool type")
 
-        labels: list[ToolLabelBinding] = (
+        labels = (
             db.session.query(ToolLabelBinding.label_name)
             .filter(
                 ToolLabelBinding.tool_id == provider_id,
@@ -84,11 +84,10 @@ class ToolLabelManager:
             if not isinstance(controller, ApiToolProviderController | WorkflowToolProviderController):
                 raise ValueError("Unsupported tool type")
 
-        provider_ids = [
-            controller.provider_id
-            for controller in tool_providers
-            if isinstance(controller, (ApiToolProviderController, WorkflowToolProviderController))
-        ]
+        provider_ids = []
+        for controller in tool_providers:
+            assert isinstance(controller, ApiToolProviderController | WorkflowToolProviderController)
+            provider_ids.append(controller.provider_id)
 
         labels: list[ToolLabelBinding] = (
             db.session.query(ToolLabelBinding).filter(ToolLabelBinding.tool_id.in_(provider_ids)).all()
diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py
index 5b2173a4d0..df99c82d2b 100644
--- a/api/core/tools/tool_manager.py
+++ b/api/core/tools/tool_manager.py
@@ -3,8 +3,23 @@ import logging
 import mimetypes
 from collections.abc import Generator
 from os import listdir, path
-from threading import Lock, Thread
-from typing import Any, Optional, Union, cast
+from threading import Lock
+from typing import TYPE_CHECKING, Any, Union, cast
+
+from yarl import URL
+
+import contexts
+from core.plugin.entities.plugin import GenericProviderID
+from core.plugin.manager.tool import PluginToolManager
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.plugin_tool.provider import PluginToolProviderController
+from core.tools.plugin_tool.tool import PluginTool
+from core.tools.workflow_as_tool.provider import WorkflowToolProviderController
+
+if TYPE_CHECKING:
+    from core.workflow.nodes.tool.entities import ToolEntity
+
 
 from configs import dify_config
 from core.agent.entities import AgentToolEntity
@@ -12,21 +27,27 @@ from core.app.entities.app_invoke_entities import InvokeFrom
 from core.helper.module_import_helper import load_single_subclass_from_source
 from core.helper.position_helper import is_filtered
 from core.model_runtime.utils.encoders import jsonable_encoder
-from core.tools.entities.api_entities import UserToolProvider, UserToolProviderTypeLiteral
+from core.tools.__base.tool import Tool
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+from core.tools.builtin_tool.providers._positions import BuiltinToolProviderSort
+from core.tools.builtin_tool.tool import BuiltinTool
+from core.tools.custom_tool.provider import ApiToolProviderController
+from core.tools.custom_tool.tool import ApiTool
+from core.tools.entities.api_entities import ToolProviderApiEntity, ToolProviderTypeApiLiteral
 from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_entities import ApiProviderAuthType, ToolInvokeFrom, ToolParameter
+from core.tools.entities.tool_entities import (
+    ApiProviderAuthType,
+    ToolInvokeFrom,
+    ToolParameter,
+    ToolProviderType,
+)
 from core.tools.errors import ToolNotFoundError, ToolProviderNotFoundError
-from core.tools.provider.api_tool_provider import ApiToolProviderController
-from core.tools.provider.builtin._positions import BuiltinToolProviderSort
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController
-from core.tools.tool.api_tool import ApiTool
-from core.tools.tool.builtin_tool import BuiltinTool
-from core.tools.tool.tool import Tool
 from core.tools.tool_label_manager import ToolLabelManager
-from core.tools.utils.configuration import ToolConfigurationManager, ToolParameterConfigurationManager
-from core.workflow.nodes.tool.entities import ToolEntity
+from core.tools.utils.configuration import (
+    ProviderConfigEncrypter,
+    ToolParameterConfigurationManager,
+)
+from core.tools.workflow_as_tool.tool import WorkflowTool
 from extensions.ext_database import db
 from models.tools import ApiToolProvider, BuiltinToolProvider, WorkflowToolProvider
 from services.tools.tools_transform_service import ToolTransformService
@@ -36,79 +57,106 @@ logger = logging.getLogger(__name__)
 
 class ToolManager:
     _builtin_provider_lock = Lock()
-    _builtin_providers: dict[str, BuiltinToolProviderController] = {}
+    _hardcoded_providers: dict[str, BuiltinToolProviderController] = {}
     _builtin_providers_loaded = False
     _builtin_tools_labels: dict[str, Union[I18nObject, None]] = {}
 
     @classmethod
-    def get_builtin_provider(cls, provider: str) -> BuiltinToolProviderController:
+    def get_hardcoded_provider(cls, provider: str) -> BuiltinToolProviderController:
+        """
+        get the hardcoded provider
+        """
+        if len(cls._hardcoded_providers) == 0:
+            # init the builtin providers
+            cls.load_hardcoded_providers_cache()
+
+        return cls._hardcoded_providers[provider]
+
+    @classmethod
+    def get_builtin_provider(
+        cls, provider: str, tenant_id: str
+    ) -> BuiltinToolProviderController | PluginToolProviderController:
         """
         get the builtin provider
 
         :param provider: the name of the provider
+        :param tenant_id: the id of the tenant
         :return: the provider
         """
-        if len(cls._builtin_providers) == 0:
+        # split provider to
+
+        if len(cls._hardcoded_providers) == 0:
             # init the builtin providers
-            cls.load_builtin_providers_cache()
+            cls.load_hardcoded_providers_cache()
 
-        if provider not in cls._builtin_providers:
-            raise ToolProviderNotFoundError(f"builtin provider {provider} not found")
+        if provider not in cls._hardcoded_providers:
+            # get plugin provider
+            plugin_provider = cls.get_plugin_provider(provider, tenant_id)
+            if plugin_provider:
+                return plugin_provider
 
-        return cls._builtin_providers[provider]
+        return cls._hardcoded_providers[provider]
 
     @classmethod
-    def get_builtin_tool(cls, provider: str, tool_name: str) -> Union[BuiltinTool, Tool]:
+    def get_plugin_provider(cls, provider: str, tenant_id: str) -> PluginToolProviderController:
+        """
+        get the plugin provider
+        """
+        # check if context is set
+        try:
+            contexts.plugin_tool_providers.get()
+        except LookupError:
+            contexts.plugin_tool_providers.set({})
+            contexts.plugin_tool_providers_lock.set(Lock())
+
+        with contexts.plugin_tool_providers_lock.get():
+            plugin_tool_providers = contexts.plugin_tool_providers.get()
+            if provider in plugin_tool_providers:
+                return plugin_tool_providers[provider]
+
+            manager = PluginToolManager()
+            provider_entity = manager.fetch_tool_provider(tenant_id, provider)
+            if not provider_entity:
+                raise ToolProviderNotFoundError(f"plugin provider {provider} not found")
+
+            controller = PluginToolProviderController(
+                entity=provider_entity.declaration,
+                plugin_id=provider_entity.plugin_id,
+                plugin_unique_identifier=provider_entity.plugin_unique_identifier,
+                tenant_id=tenant_id,
+            )
+
+            plugin_tool_providers[provider] = controller
+
+        return controller
+
+    @classmethod
+    def get_builtin_tool(cls, provider: str, tool_name: str, tenant_id: str) -> BuiltinTool | PluginTool | None:
         """
         get the builtin tool
 
         :param provider: the name of the provider
         :param tool_name: the name of the tool
-
+        :param tenant_id: the id of the tenant
         :return: the provider, the tool
         """
-        provider_controller = cls.get_builtin_provider(provider)
+        provider_controller = cls.get_builtin_provider(provider, tenant_id)
         tool = provider_controller.get_tool(tool_name)
         if tool is None:
             raise ToolNotFoundError(f"tool {tool_name} not found")
 
         return tool
 
-    @classmethod
-    def get_tool(
-        cls, provider_type: str, provider_id: str, tool_name: str, tenant_id: Optional[str] = None
-    ) -> Union[BuiltinTool, ApiTool, Tool]:
-        """
-        get the tool
-
-        :param provider_type: the type of the provider
-        :param provider_name: the name of the provider
-        :param tool_name: the name of the tool
-
-        :return: the tool
-        """
-        if provider_type == "builtin":
-            return cls.get_builtin_tool(provider_id, tool_name)
-        elif provider_type == "api":
-            if tenant_id is None:
-                raise ValueError("tenant id is required for api provider")
-            api_provider, _ = cls.get_api_provider_controller(tenant_id, provider_id)
-            return api_provider.get_tool(tool_name)
-        elif provider_type == "app":
-            raise NotImplementedError("app provider not implemented")
-        else:
-            raise ToolProviderNotFoundError(f"provider type {provider_type} not found")
-
     @classmethod
     def get_tool_runtime(
         cls,
-        provider_type: str,
+        provider_type: ToolProviderType,
         provider_id: str,
         tool_name: str,
         tenant_id: str,
         invoke_from: InvokeFrom = InvokeFrom.DEBUGGER,
         tool_invoke_from: ToolInvokeFrom = ToolInvokeFrom.AGENT,
-    ) -> Union[BuiltinTool, ApiTool, Tool]:
+    ) -> Union[BuiltinTool, PluginTool, ApiTool, WorkflowTool]:
         """
         get the tool runtime
 
@@ -118,72 +166,101 @@ class ToolManager:
 
         :return: the tool
         """
-        controller: Union[BuiltinToolProviderController, ApiToolProviderController, WorkflowToolProviderController]
-        if provider_type == "builtin":
-            builtin_tool = cls.get_builtin_tool(provider_id, tool_name)
-
+        if provider_type == ToolProviderType.BUILT_IN:
             # check if the builtin tool need credentials
-            provider_controller = cls.get_builtin_provider(provider_id)
+            provider_controller = cls.get_builtin_provider(provider_id, tenant_id)
+
+            builtin_tool = provider_controller.get_tool(tool_name)
+            if not builtin_tool:
+                raise ToolProviderNotFoundError(f"builtin tool {tool_name} not found")
+
             if not provider_controller.need_credentials:
-                return builtin_tool.fork_tool_runtime(
-                    runtime={
-                        "tenant_id": tenant_id,
-                        "credentials": {},
-                        "invoke_from": invoke_from,
-                        "tool_invoke_from": tool_invoke_from,
-                    }
+                return cast(
+                    BuiltinTool,
+                    builtin_tool.fork_tool_runtime(
+                        runtime=ToolRuntime(
+                            tenant_id=tenant_id,
+                            credentials={},
+                            invoke_from=invoke_from,
+                            tool_invoke_from=tool_invoke_from,
+                        )
+                    ),
                 )
 
-            # get credentials
-            builtin_provider: Optional[BuiltinToolProvider] = (
-                db.session.query(BuiltinToolProvider)
-                .filter(
-                    BuiltinToolProvider.tenant_id == tenant_id,
-                    BuiltinToolProvider.provider == provider_id,
+            if isinstance(provider_controller, PluginToolProviderController):
+                provider_id_entity = GenericProviderID(provider_id)
+                # get credentials
+                builtin_provider: BuiltinToolProvider | None = (
+                    db.session.query(BuiltinToolProvider)
+                    .filter(
+                        BuiltinToolProvider.tenant_id == tenant_id,
+                        (BuiltinToolProvider.provider == provider_id)
+                        | (BuiltinToolProvider.provider == provider_id_entity.provider_name),
+                    )
+                    .first()
                 )
-                .first()
-            )
 
-            if builtin_provider is None:
-                raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found")
+                if builtin_provider is None:
+                    raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found")
+            else:
+                builtin_provider = (
+                    db.session.query(BuiltinToolProvider)
+                    .filter(BuiltinToolProvider.tenant_id == tenant_id, (BuiltinToolProvider.provider == provider_id))
+                    .first()
+                )
+
+                if builtin_provider is None:
+                    raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found")
 
             # decrypt the credentials
             credentials = builtin_provider.credentials
-            controller = cls.get_builtin_provider(provider_id)
-            tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=controller)
-
-            decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials)
-
-            return builtin_tool.fork_tool_runtime(
-                runtime={
-                    "tenant_id": tenant_id,
-                    "credentials": decrypted_credentials,
-                    "runtime_parameters": {},
-                    "invoke_from": invoke_from,
-                    "tool_invoke_from": tool_invoke_from,
-                }
+            tool_configuration = ProviderConfigEncrypter(
+                tenant_id=tenant_id,
+                config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+                provider_type=provider_controller.provider_type.value,
+                provider_identity=provider_controller.entity.identity.name,
             )
 
-        elif provider_type == "api":
-            if tenant_id is None:
-                raise ValueError("tenant id is required for api provider")
+            decrypted_credentials = tool_configuration.decrypt(credentials)
 
+            return cast(
+                BuiltinTool,
+                builtin_tool.fork_tool_runtime(
+                    runtime=ToolRuntime(
+                        tenant_id=tenant_id,
+                        credentials=decrypted_credentials,
+                        runtime_parameters={},
+                        invoke_from=invoke_from,
+                        tool_invoke_from=tool_invoke_from,
+                    )
+                ),
+            )
+
+        elif provider_type == ToolProviderType.API:
             api_provider, credentials = cls.get_api_provider_controller(tenant_id, provider_id)
 
             # decrypt the credentials
-            tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=api_provider)
-            decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials)
-
-            return api_provider.get_tool(tool_name).fork_tool_runtime(
-                runtime={
-                    "tenant_id": tenant_id,
-                    "credentials": decrypted_credentials,
-                    "invoke_from": invoke_from,
-                    "tool_invoke_from": tool_invoke_from,
-                }
+            tool_configuration = ProviderConfigEncrypter(
+                tenant_id=tenant_id,
+                config=[x.to_basic_provider_config() for x in api_provider.get_credentials_schema()],
+                provider_type=api_provider.provider_type.value,
+                provider_identity=api_provider.entity.identity.name,
             )
-        elif provider_type == "workflow":
-            workflow_provider: Optional[WorkflowToolProvider] = (
+            decrypted_credentials = tool_configuration.decrypt(credentials)
+
+            return cast(
+                ApiTool,
+                api_provider.get_tool(tool_name).fork_tool_runtime(
+                    runtime=ToolRuntime(
+                        tenant_id=tenant_id,
+                        credentials=decrypted_credentials,
+                        invoke_from=invoke_from,
+                        tool_invoke_from=tool_invoke_from,
+                    )
+                ),
+            )
+        elif provider_type == ToolProviderType.WORKFLOW:
+            workflow_provider = (
                 db.session.query(WorkflowToolProvider)
                 .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id)
                 .first()
@@ -193,50 +270,35 @@ class ToolManager:
                 raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found")
 
             controller = ToolTransformService.workflow_provider_to_controller(db_provider=workflow_provider)
-            controller_tools: Optional[list[Tool]] = controller.get_tools(
-                user_id="", tenant_id=workflow_provider.tenant_id
-            )
+            controller_tools: list[WorkflowTool] = controller.get_tools(tenant_id=workflow_provider.tenant_id)
             if controller_tools is None or len(controller_tools) == 0:
                 raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found")
 
-            return controller_tools[0].fork_tool_runtime(
-                runtime={
-                    "tenant_id": tenant_id,
-                    "credentials": {},
-                    "invoke_from": invoke_from,
-                    "tool_invoke_from": tool_invoke_from,
-                }
+            return cast(
+                WorkflowTool,
+                controller.get_tools(tenant_id=workflow_provider.tenant_id)[0].fork_tool_runtime(
+                    runtime=ToolRuntime(
+                        tenant_id=tenant_id,
+                        credentials={},
+                        invoke_from=invoke_from,
+                        tool_invoke_from=tool_invoke_from,
+                    )
+                ),
             )
-        elif provider_type == "app":
+        elif provider_type == ToolProviderType.APP:
             raise NotImplementedError("app provider not implemented")
+        elif provider_type == ToolProviderType.PLUGIN:
+            return cls.get_plugin_provider(provider_id, tenant_id).get_tool(tool_name)
         else:
-            raise ToolProviderNotFoundError(f"provider type {provider_type} not found")
-
-    @classmethod
-    def _init_runtime_parameter(cls, parameter_rule: ToolParameter, parameters: dict):
-        """
-        init runtime parameter
-        """
-        parameter_value = parameters.get(parameter_rule.name)
-        if not parameter_value and parameter_value != 0:
-            # get default value
-            parameter_value = parameter_rule.default
-            if not parameter_value and parameter_rule.required:
-                raise ValueError(f"tool parameter {parameter_rule.name} not found in tool config")
-
-        if parameter_rule.type == ToolParameter.ToolParameterType.SELECT:
-            # check if tool_parameter_config in options
-            options = [x.value for x in parameter_rule.options or []]
-            if parameter_value is not None and parameter_value not in options:
-                raise ValueError(
-                    f"tool parameter {parameter_rule.name} value {parameter_value} not in options {options}"
-                )
-
-        return parameter_rule.type.cast_value(parameter_value)
+            raise ToolProviderNotFoundError(f"provider type {provider_type.value} not found")
 
     @classmethod
     def get_agent_tool_runtime(
-        cls, tenant_id: str, app_id: str, agent_tool: AgentToolEntity, invoke_from: InvokeFrom = InvokeFrom.DEBUGGER
+        cls,
+        tenant_id: str,
+        app_id: str,
+        agent_tool: AgentToolEntity,
+        invoke_from: InvokeFrom = InvokeFrom.DEBUGGER,
     ) -> Tool:
         """
         get the agent tool runtime
@@ -250,7 +312,7 @@ class ToolManager:
             tool_invoke_from=ToolInvokeFrom.AGENT,
         )
         runtime_parameters = {}
-        parameters = tool_entity.get_all_runtime_parameters()
+        parameters = tool_entity.get_merged_runtime_parameters()
         for parameter in parameters:
             # check file types
             if (
@@ -266,7 +328,7 @@ class ToolManager:
 
             if parameter.form == ToolParameter.ToolParameterForm.FORM:
                 # save tool parameter to tool entity memory
-                value = cls._init_runtime_parameter(parameter, agent_tool.tool_parameters)
+                value = parameter.init_frontend_parameter(agent_tool.tool_parameters.get(parameter.name))
                 runtime_parameters[parameter.name] = value
 
         # decrypt runtime parameters
@@ -296,7 +358,7 @@ class ToolManager:
         """
         get the workflow tool runtime
         """
-        tool_entity = cls.get_tool_runtime(
+        tool_runtime = cls.get_tool_runtime(
             provider_type=workflow_tool.provider_type,
             provider_id=workflow_tool.provider_id,
             tool_name=workflow_tool.tool_name,
@@ -305,18 +367,18 @@ class ToolManager:
             tool_invoke_from=ToolInvokeFrom.WORKFLOW,
         )
         runtime_parameters = {}
-        parameters = tool_entity.get_all_runtime_parameters()
+        parameters = tool_runtime.get_merged_runtime_parameters()
 
         for parameter in parameters:
             # save tool parameter to tool entity memory
             if parameter.form == ToolParameter.ToolParameterForm.FORM:
-                value = cls._init_runtime_parameter(parameter, workflow_tool.tool_configurations)
+                value = parameter.init_frontend_parameter(workflow_tool.tool_configurations.get(parameter.name))
                 runtime_parameters[parameter.name] = value
 
         # decrypt runtime parameters
         encryption_manager = ToolParameterConfigurationManager(
             tenant_id=tenant_id,
-            tool_runtime=tool_entity,
+            tool_runtime=tool_runtime,
             provider_name=workflow_tool.provider_id,
             provider_type=workflow_tool.provider_type,
             identity_id=f"WORKFLOW.{app_id}.{node_id}",
@@ -325,33 +387,60 @@ class ToolManager:
         if runtime_parameters:
             runtime_parameters = encryption_manager.decrypt_tool_parameters(runtime_parameters)
 
-        if tool_entity.runtime is None or tool_entity.runtime.runtime_parameters is None:
-            raise ValueError("runtime not found or runtime parameters not found")
+        tool_runtime.runtime.runtime_parameters.update(runtime_parameters)
+        return tool_runtime
+
+    @classmethod
+    def get_tool_runtime_from_plugin(
+        cls,
+        tool_type: ToolProviderType,
+        tenant_id: str,
+        provider: str,
+        tool_name: str,
+        tool_parameters: dict[str, Any],
+    ) -> Tool:
+        """
+        get tool runtime from plugin
+        """
+        tool_entity = cls.get_tool_runtime(
+            provider_type=tool_type,
+            provider_id=provider,
+            tool_name=tool_name,
+            tenant_id=tenant_id,
+            invoke_from=InvokeFrom.SERVICE_API,
+            tool_invoke_from=ToolInvokeFrom.PLUGIN,
+        )
+        runtime_parameters = {}
+        parameters = tool_entity.get_merged_runtime_parameters()
+        for parameter in parameters:
+            if parameter.form == ToolParameter.ToolParameterForm.FORM:
+                # save tool parameter to tool entity memory
+                value = parameter.init_frontend_parameter(tool_parameters.get(parameter.name))
+                runtime_parameters[parameter.name] = value
 
         tool_entity.runtime.runtime_parameters.update(runtime_parameters)
         return tool_entity
 
     @classmethod
-    def get_builtin_provider_icon(cls, provider: str) -> tuple[str, str]:
+    def get_hardcoded_provider_icon(cls, provider: str) -> tuple[str, str]:
         """
-        get the absolute path of the icon of the builtin provider
+        get the absolute path of the icon of the hardcoded provider
 
         :param provider: the name of the provider
+        :param tenant_id: the id of the tenant
 
         :return: the absolute path of the icon, the mime type of the icon
         """
         # get provider
-        provider_controller = cls.get_builtin_provider(provider)
-        if provider_controller.identity is None:
-            raise ToolProviderNotFoundError(f"builtin provider {provider} not found")
+        provider_controller = cls.get_hardcoded_provider(provider)
 
         absolute_path = path.join(
             path.dirname(path.realpath(__file__)),
-            "provider",
-            "builtin",
+            "builtin_tool",
+            "providers",
             provider,
             "_assets",
-            provider_controller.identity.icon,
+            provider_controller.entity.identity.icon,
         )
         # check if the icon exists
         if not path.exists(absolute_path):
@@ -364,65 +453,93 @@ class ToolManager:
         return absolute_path, mime_type
 
     @classmethod
-    def list_builtin_providers(cls) -> Generator[BuiltinToolProviderController, None, None]:
+    def list_hardcoded_providers(cls):
         # use cache first
         if cls._builtin_providers_loaded:
-            yield from list(cls._builtin_providers.values())
+            yield from list(cls._hardcoded_providers.values())
             return
 
         with cls._builtin_provider_lock:
             if cls._builtin_providers_loaded:
-                yield from list(cls._builtin_providers.values())
+                yield from list(cls._hardcoded_providers.values())
                 return
 
-            yield from cls._list_builtin_providers()
+            yield from cls._list_hardcoded_providers()
 
     @classmethod
-    def _list_builtin_providers(cls) -> Generator[BuiltinToolProviderController, None, None]:
+    def list_plugin_providers(cls, tenant_id: str) -> list[PluginToolProviderController]:
+        """
+        list all the plugin providers
+        """
+        manager = PluginToolManager()
+        provider_entities = manager.fetch_tool_providers(tenant_id)
+        return [
+            PluginToolProviderController(
+                entity=provider.declaration,
+                plugin_id=provider.plugin_id,
+                plugin_unique_identifier=provider.plugin_unique_identifier,
+                tenant_id=tenant_id,
+            )
+            for provider in provider_entities
+        ]
+
+    @classmethod
+    def list_builtin_providers(
+        cls, tenant_id: str
+    ) -> Generator[BuiltinToolProviderController | PluginToolProviderController, None, None]:
         """
         list all the builtin providers
         """
-        for provider in listdir(path.join(path.dirname(path.realpath(__file__)), "provider", "builtin")):
-            if provider.startswith("__"):
+        yield from cls.list_hardcoded_providers()
+        # get plugin providers
+        yield from cls.list_plugin_providers(tenant_id)
+
+    @classmethod
+    def _list_hardcoded_providers(cls) -> Generator[BuiltinToolProviderController, None, None]:
+        """
+        list all the builtin providers
+        """
+        for provider_path in listdir(path.join(path.dirname(path.realpath(__file__)), "builtin_tool", "providers")):
+            if provider_path.startswith("__"):
                 continue
 
-            if path.isdir(path.join(path.dirname(path.realpath(__file__)), "provider", "builtin", provider)):
-                if provider.startswith("__"):
+            if path.isdir(path.join(path.dirname(path.realpath(__file__)), "builtin_tool", "providers", provider_path)):
+                if provider_path.startswith("__"):
                     continue
 
                 # init provider
                 try:
                     provider_class = load_single_subclass_from_source(
-                        module_name=f"core.tools.provider.builtin.{provider}.{provider}",
+                        module_name=f"core.tools.builtin_tool.providers.{provider_path}.{provider_path}",
                         script_path=path.join(
-                            path.dirname(path.realpath(__file__)), "provider", "builtin", provider, f"{provider}.py"
+                            path.dirname(path.realpath(__file__)),
+                            "builtin_tool",
+                            "providers",
+                            provider_path,
+                            f"{provider_path}.py",
                         ),
                         parent_type=BuiltinToolProviderController,
                     )
-                    provider_controller: BuiltinToolProviderController = provider_class()
-                    if provider_controller.identity is None:
-                        continue
-                    cls._builtin_providers[provider_controller.identity.name] = provider_controller
-                    for tool in provider_controller.get_tools() or []:
-                        if tool.identity is None:
-                            continue
-                        cls._builtin_tools_labels[tool.identity.name] = tool.identity.label
-                    yield provider_controller
+                    provider: BuiltinToolProviderController = provider_class()
+                    cls._hardcoded_providers[provider.entity.identity.name] = provider
+                    for tool in provider.get_tools():
+                        cls._builtin_tools_labels[tool.entity.identity.name] = tool.entity.identity.label
+                    yield provider
 
-                except Exception as e:
+                except Exception:
                     logger.exception(f"load builtin provider {provider}")
                     continue
         # set builtin providers loaded
         cls._builtin_providers_loaded = True
 
     @classmethod
-    def load_builtin_providers_cache(cls):
-        for _ in cls.list_builtin_providers():
+    def load_hardcoded_providers_cache(cls):
+        for _ in cls.list_hardcoded_providers():
             pass
 
     @classmethod
-    def clear_builtin_providers_cache(cls):
-        cls._builtin_providers = {}
+    def clear_hardcoded_providers_cache(cls):
+        cls._hardcoded_providers = {}
         cls._builtin_providers_loaded = False
 
     @classmethod
@@ -436,7 +553,7 @@ class ToolManager:
         """
         if len(cls._builtin_tools_labels) == 0:
             # init the builtin providers
-            cls.load_builtin_providers_cache()
+            cls.load_hardcoded_providers_cache()
 
         if tool_name not in cls._builtin_tools_labels:
             return None
@@ -444,10 +561,10 @@ class ToolManager:
         return cls._builtin_tools_labels[tool_name]
 
     @classmethod
-    def user_list_providers(
-        cls, user_id: str, tenant_id: str, typ: UserToolProviderTypeLiteral
-    ) -> list[UserToolProvider]:
-        result_providers: dict[str, UserToolProvider] = {}
+    def list_providers_from_api(
+        cls, user_id: str, tenant_id: str, typ: ToolProviderTypeApiLiteral
+    ) -> list[ToolProviderApiEntity]:
+        result_providers: dict[str, ToolProviderApiEntity] = {}
 
         filters = []
         if not typ:
@@ -457,22 +574,24 @@ class ToolManager:
 
         if "builtin" in filters:
             # get builtin providers
-            builtin_providers = cls.list_builtin_providers()
+            builtin_providers = cls.list_builtin_providers(tenant_id)
 
             # get db builtin providers
             db_builtin_providers: list[BuiltinToolProvider] = (
                 db.session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all()
             )
 
-            find_db_builtin_provider = lambda provider: next(
-                (x for x in db_builtin_providers if x.provider == provider), None
-            )
+            # rewrite db_builtin_providers
+            for db_provider in db_builtin_providers:
+                tool_provider_id = GenericProviderID(db_provider.provider)
+                db_provider.provider = tool_provider_id.to_string()
+
+            def find_db_builtin_provider(provider):
+                return next((x for x in db_builtin_providers if x.provider == provider), None)
 
             # append builtin providers
             for provider in builtin_providers:
                 # handle include, exclude
-                if provider.identity is None:
-                    continue
                 if is_filtered(
                     include_set=cast(set[str], dify_config.POSITION_TOOL_INCLUDES_SET),
                     exclude_set=cast(set[str], dify_config.POSITION_TOOL_EXCLUDES_SET),
@@ -483,11 +602,14 @@ class ToolManager:
 
                 user_provider = ToolTransformService.builtin_provider_to_user_provider(
                     provider_controller=provider,
-                    db_provider=find_db_builtin_provider(provider.identity.name),
+                    db_provider=find_db_builtin_provider(provider.entity.identity.name),
                     decrypt_credentials=False,
                 )
 
-                result_providers[provider.identity.name] = user_provider
+                if isinstance(provider, PluginToolProviderController):
+                    result_providers[f"plugin_provider.{user_provider.name}"] = user_provider
+                else:
+                    result_providers[f"builtin_provider.{user_provider.name}"] = user_provider
 
         # get db api providers
 
@@ -525,7 +647,7 @@ class ToolManager:
                     workflow_provider_controllers.append(
                         ToolTransformService.workflow_provider_to_controller(db_provider=provider)
                     )
-                except Exception as e:
+                except Exception:
                     # app has been deleted
                     pass
 
@@ -553,7 +675,7 @@ class ToolManager:
 
         :return: the provider controller, the credentials
         """
-        provider: Optional[ApiToolProvider] = (
+        provider: ApiToolProvider | None = (
             db.session.query(ApiToolProvider)
             .filter(
                 ApiToolProvider.id == provider_id,
@@ -582,7 +704,7 @@ class ToolManager:
             get tool provider
         """
         provider_name = provider
-        provider_tool: Optional[ApiToolProvider] = (
+        provider_obj: ApiToolProvider | None = (
             db.session.query(ApiToolProvider)
             .filter(
                 ApiToolProvider.tenant_id == tenant_id,
@@ -591,28 +713,33 @@ class ToolManager:
             .first()
         )
 
-        if provider_tool is None:
+        if provider_obj is None:
             raise ValueError(f"you have not added provider {provider_name}")
 
         try:
-            credentials = json.loads(provider_tool.credentials_str) or {}
-        except:
+            credentials = json.loads(provider_obj.credentials_str) or {}
+        except Exception:
             credentials = {}
 
         # package tool provider controller
         controller = ApiToolProviderController.from_db(
-            provider_tool,
+            provider_obj,
             ApiProviderAuthType.API_KEY if credentials["auth_type"] == "api_key" else ApiProviderAuthType.NONE,
         )
         # init tool configuration
-        tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=controller)
+        tool_configuration = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=[x.to_basic_provider_config() for x in controller.get_credentials_schema()],
+            provider_type=controller.provider_type.value,
+            provider_identity=controller.entity.identity.name,
+        )
 
-        decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials)
+        decrypted_credentials = tool_configuration.decrypt(credentials)
         masked_credentials = tool_configuration.mask_tool_credentials(decrypted_credentials)
 
         try:
-            icon = json.loads(provider_tool.icon)
-        except:
+            icon = json.loads(provider_obj.icon)
+        except Exception:
             icon = {"background": "#252525", "content": "\ud83d\ude01"}
 
         # add tool labels
@@ -622,21 +749,82 @@ class ToolManager:
             dict,
             jsonable_encoder(
                 {
-                    "schema_type": provider_tool.schema_type,
-                    "schema": provider_tool.schema,
-                    "tools": provider_tool.tools,
+                    "schema_type": provider_obj.schema_type,
+                    "schema": provider_obj.schema,
+                    "tools": provider_obj.tools,
                     "icon": icon,
-                    "description": provider_tool.description,
+                    "description": provider_obj.description,
                     "credentials": masked_credentials,
-                    "privacy_policy": provider_tool.privacy_policy,
-                    "custom_disclaimer": provider_tool.custom_disclaimer,
+                    "privacy_policy": provider_obj.privacy_policy,
+                    "custom_disclaimer": provider_obj.custom_disclaimer,
                     "labels": labels,
                 }
             ),
         )
 
     @classmethod
-    def get_tool_icon(cls, tenant_id: str, provider_type: str, provider_id: str) -> Union[str, dict]:
+    def generate_builtin_tool_icon_url(cls, provider_id: str) -> str:
+        return (
+            dify_config.CONSOLE_API_URL
+            + "/console/api/workspaces/current/tool-provider/builtin/"
+            + provider_id
+            + "/icon"
+        )
+
+    @classmethod
+    def generate_plugin_tool_icon_url(cls, tenant_id: str, filename: str) -> str:
+        return str(
+            URL(dify_config.CONSOLE_API_URL)
+            / "console"
+            / "api"
+            / "workspaces"
+            / "current"
+            / "plugin"
+            / "icon"
+            % {"tenant_id": tenant_id, "filename": filename}
+        )
+
+    @classmethod
+    def generate_workflow_tool_icon_url(cls, tenant_id: str, provider_id: str) -> dict:
+        try:
+            workflow_provider: WorkflowToolProvider | None = (
+                db.session.query(WorkflowToolProvider)
+                .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id)
+                .first()
+            )
+
+            if workflow_provider is None:
+                raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found")
+
+            icon: dict = json.loads(workflow_provider.icon)
+            return icon
+        except Exception:
+            return {"background": "#252525", "content": "\ud83d\ude01"}
+
+    @classmethod
+    def generate_api_tool_icon_url(cls, tenant_id: str, provider_id: str) -> dict:
+        try:
+            api_provider: ApiToolProvider | None = (
+                db.session.query(ApiToolProvider)
+                .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.id == provider_id)
+                .first()
+            )
+
+            if api_provider is None:
+                raise ToolProviderNotFoundError(f"api provider {provider_id} not found")
+
+            icon: dict = json.loads(api_provider.icon)
+            return icon
+        except Exception:
+            return {"background": "#252525", "content": "\ud83d\ude01"}
+
+    @classmethod
+    def get_tool_icon(
+        cls,
+        tenant_id: str,
+        provider_type: ToolProviderType,
+        provider_id: str,
+    ) -> Union[str, dict]:
         """
         get the tool icon
 
@@ -647,48 +835,28 @@ class ToolManager:
         """
         provider_type = provider_type
         provider_id = provider_id
-        provider: Optional[Union[BuiltinToolProvider, ApiToolProvider, WorkflowToolProvider]] = None
-        if provider_type == "builtin":
-            return (
-                dify_config.CONSOLE_API_URL
-                + "/console/api/workspaces/current/tool-provider/builtin/"
-                + provider_id
-                + "/icon"
-            )
-        elif provider_type == "api":
-            try:
-                provider = (
-                    db.session.query(ApiToolProvider)
-                    .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.id == provider_id)
-                    .first()
-                )
-                if provider is None:
-                    raise ToolProviderNotFoundError(f"api provider {provider_id} not found")
-                icon = json.loads(provider.icon)
-                if isinstance(icon, (str, dict)):
-                    return icon
-                return {"background": "#252525", "content": "\ud83d\ude01"}
-            except:
-                return {"background": "#252525", "content": "\ud83d\ude01"}
-        elif provider_type == "workflow":
-            provider = (
-                db.session.query(WorkflowToolProvider)
-                .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id)
-                .first()
-            )
-            if provider is None:
-                raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found")
-
-            try:
-                icon = json.loads(provider.icon)
-                if isinstance(icon, (str, dict)):
-                    return icon
-                return {"background": "#252525", "content": "\ud83d\ude01"}
-            except:
-                return {"background": "#252525", "content": "\ud83d\ude01"}
+        if provider_type == ToolProviderType.BUILT_IN:
+            provider = ToolManager.get_builtin_provider(provider_id, tenant_id)
+            if isinstance(provider, PluginToolProviderController):
+                try:
+                    return cls.generate_plugin_tool_icon_url(tenant_id, provider.entity.identity.icon)
+                except Exception:
+                    return {"background": "#252525", "content": "\ud83d\ude01"}
+            return cls.generate_builtin_tool_icon_url(provider_id)
+        elif provider_type == ToolProviderType.API:
+            return cls.generate_api_tool_icon_url(tenant_id, provider_id)
+        elif provider_type == ToolProviderType.WORKFLOW:
+            return cls.generate_workflow_tool_icon_url(tenant_id, provider_id)
+        elif provider_type == ToolProviderType.PLUGIN:
+            provider = ToolManager.get_builtin_provider(provider_id, tenant_id)
+            if isinstance(provider, PluginToolProviderController):
+                try:
+                    return cls.generate_plugin_tool_icon_url(tenant_id, provider.entity.identity.icon)
+                except Exception:
+                    return {"background": "#252525", "content": "\ud83d\ude01"}
+            raise ValueError(f"plugin provider {provider_id} not found")
         else:
             raise ValueError(f"provider type {provider_type} not found")
 
 
-# preload builtin tool providers
-Thread(target=ToolManager.load_builtin_providers_cache, name="pre_load_builtin_providers_cache", daemon=True).start()
+ToolManager.load_hardcoded_providers_cache()
diff --git a/api/core/tools/utils/configuration.py b/api/core/tools/utils/configuration.py
index d772092864..6a5fba65bd 100644
--- a/api/core/tools/utils/configuration.py
+++ b/api/core/tools/utils/configuration.py
@@ -3,115 +3,120 @@ from typing import Any
 
 from pydantic import BaseModel
 
+from core.entities.provider_entities import BasicProviderConfig
 from core.helper import encrypter
 from core.helper.tool_parameter_cache import ToolParameterCache, ToolParameterCacheType
 from core.helper.tool_provider_cache import ToolProviderCredentialsCache, ToolProviderCredentialsCacheType
+from core.tools.__base.tool import Tool
 from core.tools.entities.tool_entities import (
     ToolParameter,
-    ToolProviderCredentials,
+    ToolProviderType,
 )
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.tool.tool import Tool
 
 
-class ToolConfigurationManager(BaseModel):
+class ProviderConfigEncrypter(BaseModel):
     tenant_id: str
-    provider_controller: ToolProviderController
+    config: list[BasicProviderConfig]
+    provider_type: str
+    provider_identity: str
 
-    def _deep_copy(self, credentials: dict[str, str]) -> dict[str, str]:
+    def _deep_copy(self, data: dict[str, str]) -> dict[str, str]:
         """
-        deep copy credentials
+        deep copy data
         """
-        return deepcopy(credentials)
+        return deepcopy(data)
 
-    def encrypt_tool_credentials(self, credentials: dict[str, str]) -> dict[str, str]:
+    def encrypt(self, data: dict[str, str]) -> dict[str, str]:
         """
         encrypt tool credentials with tenant id
 
         return a deep copy of credentials with encrypted values
         """
-        credentials = self._deep_copy(credentials)
+        data = self._deep_copy(data)
 
         # get fields need to be decrypted
-        fields = self.provider_controller.get_credentials_schema()
+        fields = dict[str, BasicProviderConfig]()
+        for credential in self.config:
+            fields[credential.name] = credential
+
         for field_name, field in fields.items():
-            if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT:
-                if field_name in credentials:
-                    encrypted = encrypter.encrypt_token(self.tenant_id, credentials[field_name])
-                    credentials[field_name] = encrypted
+            if field.type == BasicProviderConfig.Type.SECRET_INPUT:
+                if field_name in data:
+                    encrypted = encrypter.encrypt_token(self.tenant_id, data[field_name] or "")
+                    data[field_name] = encrypted
 
-        return credentials
+        return data
 
-    def mask_tool_credentials(self, credentials: dict[str, Any]) -> dict[str, Any]:
+    def mask_tool_credentials(self, data: dict[str, Any]) -> dict[str, Any]:
         """
         mask tool credentials
 
         return a deep copy of credentials with masked values
         """
-        credentials = self._deep_copy(credentials)
+        data = self._deep_copy(data)
 
         # get fields need to be decrypted
-        fields = self.provider_controller.get_credentials_schema()
+        fields = dict[str, BasicProviderConfig]()
+        for credential in self.config:
+            fields[credential.name] = credential
+
         for field_name, field in fields.items():
-            if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT:
-                if field_name in credentials:
-                    if len(credentials[field_name]) > 6:
-                        credentials[field_name] = (
-                            credentials[field_name][:2]
-                            + "*" * (len(credentials[field_name]) - 4)
-                            + credentials[field_name][-2:]
+            if field.type == BasicProviderConfig.Type.SECRET_INPUT:
+                if field_name in data:
+                    if len(data[field_name]) > 6:
+                        data[field_name] = (
+                            data[field_name][:2] + "*" * (len(data[field_name]) - 4) + data[field_name][-2:]
                         )
                     else:
-                        credentials[field_name] = "*" * len(credentials[field_name])
+                        data[field_name] = "*" * len(data[field_name])
 
-        return credentials
+        return data
 
-    def decrypt_tool_credentials(self, credentials: dict[str, str]) -> dict[str, str]:
+    def decrypt(self, data: dict[str, str]) -> dict[str, str]:
         """
         decrypt tool credentials with tenant id
 
         return a deep copy of credentials with decrypted values
         """
-        identity_id = ""
-        if self.provider_controller.identity:
-            identity_id = f"{self.provider_controller.provider_type.value}.{self.provider_controller.identity.name}"
-
         cache = ToolProviderCredentialsCache(
             tenant_id=self.tenant_id,
-            identity_id=identity_id,
+            identity_id=f"{self.provider_type}.{self.provider_identity}",
             cache_type=ToolProviderCredentialsCacheType.PROVIDER,
         )
         cached_credentials = cache.get()
         if cached_credentials:
             return cached_credentials
-        credentials = self._deep_copy(credentials)
+        data = self._deep_copy(data)
         # get fields need to be decrypted
-        fields = self.provider_controller.get_credentials_schema()
+        fields = dict[str, BasicProviderConfig]()
+        for credential in self.config:
+            fields[credential.name] = credential
+
         for field_name, field in fields.items():
-            if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT:
-                if field_name in credentials:
+            if field.type == BasicProviderConfig.Type.SECRET_INPUT:
+                if field_name in data:
                     try:
-                        credentials[field_name] = encrypter.decrypt_token(self.tenant_id, credentials[field_name])
-                    except:
+                        # if the value is None or empty string, skip decrypt
+                        if not data[field_name]:
+                            continue
+
+                        data[field_name] = encrypter.decrypt_token(self.tenant_id, data[field_name])
+                    except Exception:
                         pass
 
-        cache.set(credentials)
-        return credentials
+        cache.set(data)
+        return data
 
     def delete_tool_credentials_cache(self):
-        identity_id = ""
-        if self.provider_controller.identity:
-            identity_id = f"{self.provider_controller.provider_type.value}.{self.provider_controller.identity.name}"
-
         cache = ToolProviderCredentialsCache(
             tenant_id=self.tenant_id,
-            identity_id=identity_id,
+            identity_id=f"{self.provider_type}.{self.provider_identity}",
             cache_type=ToolProviderCredentialsCacheType.PROVIDER,
         )
         cache.delete()
 
 
-class ToolParameterConfigurationManager(BaseModel):
+class ToolParameterConfigurationManager:
     """
     Tool parameter configuration manager
     """
@@ -119,9 +124,18 @@ class ToolParameterConfigurationManager(BaseModel):
     tenant_id: str
     tool_runtime: Tool
     provider_name: str
-    provider_type: str
+    provider_type: ToolProviderType
     identity_id: str
 
+    def __init__(
+        self, tenant_id: str, tool_runtime: Tool, provider_name: str, provider_type: ToolProviderType, identity_id: str
+    ) -> None:
+        self.tenant_id = tenant_id
+        self.tool_runtime = tool_runtime
+        self.provider_name = provider_name
+        self.provider_type = provider_type
+        self.identity_id = identity_id
+
     def _deep_copy(self, parameters: dict[str, Any]) -> dict[str, Any]:
         """
         deep copy parameters
@@ -133,7 +147,7 @@ class ToolParameterConfigurationManager(BaseModel):
         merge parameters
         """
         # get tool parameters
-        tool_parameters = self.tool_runtime.parameters or []
+        tool_parameters = self.tool_runtime.entity.parameters or []
         # get tool runtime parameters
         runtime_parameters = self.tool_runtime.get_runtime_parameters()
         # override parameters
@@ -207,13 +221,11 @@ class ToolParameterConfigurationManager(BaseModel):
 
         return a deep copy of parameters with decrypted values
         """
-        if self.tool_runtime is None or self.tool_runtime.identity is None:
-            raise ValueError("tool_runtime is required")
 
         cache = ToolParameterCache(
             tenant_id=self.tenant_id,
-            provider=f"{self.provider_type}.{self.provider_name}",
-            tool_name=self.tool_runtime.identity.name,
+            provider=f"{self.provider_type.value}.{self.provider_name}",
+            tool_name=self.tool_runtime.entity.identity.name,
             cache_type=ToolParameterCacheType.PARAMETER,
             identity_id=self.identity_id,
         )
@@ -234,7 +246,7 @@ class ToolParameterConfigurationManager(BaseModel):
                     try:
                         has_secret_input = True
                         parameters[parameter.name] = encrypter.decrypt_token(self.tenant_id, parameters[parameter.name])
-                    except:
+                    except Exception:
                         pass
 
         if has_secret_input:
@@ -243,13 +255,10 @@ class ToolParameterConfigurationManager(BaseModel):
         return parameters
 
     def delete_tool_parameters_cache(self):
-        if self.tool_runtime is None or self.tool_runtime.identity is None:
-            raise ValueError("tool_runtime is required")
-
         cache = ToolParameterCache(
             tenant_id=self.tenant_id,
-            provider=f"{self.provider_type}.{self.provider_name}",
-            tool_name=self.tool_runtime.identity.name,
+            provider=f"{self.provider_type.value}.{self.provider_name}",
+            tool_name=self.tool_runtime.entity.identity.name,
             cache_type=ToolParameterCacheType.PARAMETER,
             identity_id=self.identity_id,
         )
diff --git a/api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py
similarity index 98%
rename from api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py
rename to api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py
index a4afea4b9d..802bee4217 100644
--- a/api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py
+++ b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py
@@ -11,7 +11,7 @@ from core.rag.datasource.retrieval_service import RetrievalService
 from core.rag.models.document import Document as RagDocument
 from core.rag.rerank.rerank_model import RerankModelRunner
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
-from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
+from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 from extensions.ext_database import db
 from models.dataset import Dataset, Document, DocumentSegment
 
@@ -143,6 +143,8 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
             return str("\n".join(document_context_list))
         return ""
 
+        raise RuntimeError("not segments found")
+
     def _retriever(
         self,
         flask_app: Flask,
diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py
similarity index 100%
rename from api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py
rename to api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py
diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py
similarity index 99%
rename from api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py
rename to api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py
index 8d6e821f4c..946d99ef6f 100644
--- a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py
+++ b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py
@@ -6,7 +6,7 @@ from core.rag.datasource.retrieval_service import RetrievalService
 from core.rag.entities.context_entities import DocumentContext
 from core.rag.models.document import Document as RetrievalDocument
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
-from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
+from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 from extensions.ext_database import db
 from models.dataset import Dataset
 from models.dataset import Document as DatasetDocument
diff --git a/api/core/tools/tool/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever_tool.py
similarity index 64%
rename from api/core/tools/tool/dataset_retriever_tool.py
rename to api/core/tools/utils/dataset_retriever_tool.py
index 2d7e193e15..b73dec4ebc 100644
--- a/api/core/tools/tool/dataset_retriever_tool.py
+++ b/api/core/tools/utils/dataset_retriever_tool.py
@@ -1,29 +1,36 @@
+from collections.abc import Generator
 from typing import Any, Optional
 
 from core.app.app_config.entities import DatasetRetrieveConfigEntity
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler
 from core.rag.retrieval.dataset_retrieval import DatasetRetrieval
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_entities import (
     ToolDescription,
+    ToolEntity,
     ToolIdentity,
     ToolInvokeMessage,
     ToolParameter,
     ToolProviderType,
 )
-from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
-from core.tools.tool.tool import Tool
+from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
 
 
 class DatasetRetrieverTool(Tool):
     retrieval_tool: DatasetRetrieverBaseTool
 
+    def __init__(self, entity: ToolEntity, runtime: ToolRuntime, retrieval_tool: DatasetRetrieverBaseTool) -> None:
+        super().__init__(entity, runtime)
+        self.retrieval_tool = retrieval_tool
+
     @staticmethod
     def get_dataset_tools(
         tenant_id: str,
         dataset_ids: list[str],
-        retrieve_config: Optional[DatasetRetrieveConfigEntity],
+        retrieve_config: DatasetRetrieveConfigEntity | None,
         return_resource: bool,
         invoke_from: InvokeFrom,
         hit_callback: DatasetIndexToolCallbackHandler,
@@ -51,8 +58,9 @@ class DatasetRetrieverTool(Tool):
             invoke_from=invoke_from,
             hit_callback=hit_callback,
         )
-        if retrieval_tools is None:
+        if retrieval_tools is None or len(retrieval_tools) == 0:
             return []
+
         # restore retrieve strategy
         retrieve_config.retrieve_strategy = original_retriever_mode
 
@@ -61,20 +69,26 @@ class DatasetRetrieverTool(Tool):
         for retrieval_tool in retrieval_tools:
             tool = DatasetRetrieverTool(
                 retrieval_tool=retrieval_tool,
-                identity=ToolIdentity(
-                    provider="", author="", name=retrieval_tool.name, label=I18nObject(en_US="", zh_Hans="")
+                entity=ToolEntity(
+                    identity=ToolIdentity(
+                        provider="", author="", name=retrieval_tool.name, label=I18nObject(en_US="", zh_Hans="")
+                    ),
+                    parameters=[],
+                    description=ToolDescription(human=I18nObject(en_US="", zh_Hans=""), llm=retrieval_tool.description),
                 ),
-                parameters=[],
-                is_team_authorization=True,
-                description=ToolDescription(human=I18nObject(en_US="", zh_Hans=""), llm=retrieval_tool.description),
-                runtime=DatasetRetrieverTool.Runtime(),
+                runtime=ToolRuntime(tenant_id=tenant_id),
             )
 
             tools.append(tool)
 
         return tools
 
-    def get_runtime_parameters(self) -> list[ToolParameter]:
+    def get_runtime_parameters(
+        self,
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> list[ToolParameter]:
         return [
             ToolParameter(
                 name="query",
@@ -92,18 +106,24 @@ class DatasetRetrieverTool(Tool):
     def tool_provider_type(self) -> ToolProviderType:
         return ToolProviderType.DATASET_RETRIEVAL
 
-    def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         invoke dataset retriever tool
         """
         query = tool_parameters.get("query")
         if not query:
-            return self.create_text_message(text="please input query")
-
-        # invoke dataset retriever tool
-        result = self.retrieval_tool._run(query=query)
-
-        return self.create_text_message(text=result)
+            yield self.create_text_message(text="please input query")
+        else:
+            # invoke dataset retriever tool
+            result = self.retrieval_tool._run(query=query)
+            yield self.create_text_message(text=result)
 
     def validate_credentials(
         self, credentials: dict[str, Any], parameters: dict[str, Any], format_only: bool = False
diff --git a/api/core/tools/utils/feishu_api_utils.py b/api/core/tools/utils/feishu_api_utils.py
deleted file mode 100644
index ecf60045aa..0000000000
--- a/api/core/tools/utils/feishu_api_utils.py
+++ /dev/null
@@ -1,919 +0,0 @@
-import json
-from typing import Any, Optional, cast
-
-import httpx
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from extensions.ext_redis import redis_client
-
-
-def auth(credentials):
-    app_id = credentials.get("app_id")
-    app_secret = credentials.get("app_secret")
-    if not app_id or not app_secret:
-        raise ToolProviderCredentialValidationError("app_id and app_secret is required")
-    try:
-        assert FeishuRequest(app_id, app_secret).tenant_access_token is not None
-    except Exception as e:
-        raise ToolProviderCredentialValidationError(str(e))
-
-
-def convert_add_records(json_str):
-    try:
-        data = json.loads(json_str)
-        if not isinstance(data, list):
-            raise ValueError("Parsed data must be a list")
-        converted_data = [{"fields": json.dumps(item, ensure_ascii=False)} for item in data]
-        return converted_data
-    except json.JSONDecodeError:
-        raise ValueError("The input string is not valid JSON")
-    except Exception as e:
-        raise ValueError(f"An error occurred while processing the data: {e}")
-
-
-def convert_update_records(json_str):
-    try:
-        data = json.loads(json_str)
-        if not isinstance(data, list):
-            raise ValueError("Parsed data must be a list")
-
-        converted_data = [
-            {"fields": json.dumps(record["fields"], ensure_ascii=False), "record_id": record["record_id"]}
-            for record in data
-            if "fields" in record and "record_id" in record
-        ]
-
-        if len(converted_data) != len(data):
-            raise ValueError("Each record must contain 'fields' and 'record_id'")
-
-        return converted_data
-    except json.JSONDecodeError:
-        raise ValueError("The input string is not valid JSON")
-    except Exception as e:
-        raise ValueError(f"An error occurred while processing the data: {e}")
-
-
-class FeishuRequest:
-    API_BASE_URL = "https://lark-plugin-api.solutionsuite.cn/lark-plugin"
-
-    def __init__(self, app_id: str, app_secret: str):
-        self.app_id = app_id
-        self.app_secret = app_secret
-
-    @property
-    def tenant_access_token(self):
-        feishu_tenant_access_token = f"tools:{self.app_id}:feishu_tenant_access_token"
-        if redis_client.exists(feishu_tenant_access_token):
-            return redis_client.get(feishu_tenant_access_token).decode()
-        res = self.get_tenant_access_token(self.app_id, self.app_secret)
-        redis_client.setex(feishu_tenant_access_token, res.get("expire"), res.get("tenant_access_token"))
-        return res.get("tenant_access_token")
-
-    def _send_request(
-        self,
-        url: str,
-        method: str = "post",
-        require_token: bool = True,
-        payload: Optional[dict] = None,
-        params: Optional[dict] = None,
-    ):
-        headers = {
-            "Content-Type": "application/json",
-            "user-agent": "Dify",
-        }
-        if require_token:
-            headers["tenant-access-token"] = f"{self.tenant_access_token}"
-        res = httpx.request(method=method, url=url, headers=headers, json=payload, params=params, timeout=30).json()
-        if res.get("code") != 0:
-            raise Exception(res)
-        return res
-
-    def get_tenant_access_token(self, app_id: str, app_secret: str) -> dict:
-        """
-        API url: https://open.feishu.cn/document/server-docs/authentication-management/access-token/tenant_access_token_internal
-        Example Response:
-        {
-            "code": 0,
-            "msg": "ok",
-            "tenant_access_token": "t-caecc734c2e3328a62489fe0648c4b98779515d3",
-            "expire": 7200
-        }
-        """
-        url = f"{self.API_BASE_URL}/access_token/get_tenant_access_token"
-        payload = {"app_id": app_id, "app_secret": app_secret}
-        res: dict = self._send_request(url, require_token=False, payload=payload)
-        return res
-
-    def create_document(self, title: str, content: str, folder_token: str) -> dict:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/create
-        Example Response:
-        {
-            "data": {
-                "title": "title",
-                "url": "https://svi136aogf123.feishu.cn/docx/VWbvd4fEdoW0WSxaY1McQTz8n7d",
-                "type": "docx",
-                "token": "VWbvd4fEdoW0WSxaY1McQTz8n7d"
-            },
-            "log_id": "021721281231575fdbddc0200ff00060a9258ec0000103df61b5d",
-            "code": 0,
-            "msg": "创建飞书文档成功，请查看"
-        }
-        """
-        url = f"{self.API_BASE_URL}/document/create_document"
-        payload = {
-            "title": title,
-            "content": content,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def write_document(self, document_id: str, content: str, position: str = "end") -> dict:
-        url = f"{self.API_BASE_URL}/document/write_document"
-        payload = {"document_id": document_id, "content": content, "position": position}
-        res: dict = self._send_request(url, payload=payload)
-        return res
-
-    def get_document_content(self, document_id: str, mode: str = "markdown", lang: str = "0") -> str:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/raw_content
-        Example Response:
-        {
-            "code": 0,
-            "msg": "success",
-            "data": {
-                "content": "云文档\n多人实时协同，插入一切元素。不仅是在线文档，更是强大的创作和互动工具\n云文档：专为协作而生\n"
-            }
-        }
-        """  # noqa: E501
-        params = {
-            "document_id": document_id,
-            "mode": mode,
-            "lang": lang,
-        }
-        url = f"{self.API_BASE_URL}/document/get_document_content"
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            return cast(str, res.get("data", {}).get("content"))
-        return ""
-
-    def list_document_blocks(
-        self, document_id: str, page_token: str, user_id_type: str = "open_id", page_size: int = 500
-    ) -> dict:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/list
-        """
-        params = {
-            "user_id_type": user_id_type,
-            "document_id": document_id,
-            "page_size": page_size,
-            "page_token": page_token,
-        }
-        url = f"{self.API_BASE_URL}/document/list_document_blocks"
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def send_bot_message(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> dict:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/im-v1/message/create
-        """
-        url = f"{self.API_BASE_URL}/message/send_bot_message"
-        params = {
-            "receive_id_type": receive_id_type,
-        }
-        payload = {
-            "receive_id": receive_id,
-            "msg_type": msg_type,
-            "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def send_webhook_message(self, webhook: str, msg_type: str, content: str) -> dict:
-        url = f"{self.API_BASE_URL}/message/send_webhook_message"
-        payload = {
-            "webhook": webhook,
-            "msg_type": msg_type,
-            "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"),
-        }
-        res: dict = self._send_request(url, require_token=False, payload=payload)
-        return res
-
-    def get_chat_messages(
-        self,
-        container_id: str,
-        start_time: str,
-        end_time: str,
-        page_token: str,
-        sort_type: str = "ByCreateTimeAsc",
-        page_size: int = 20,
-    ) -> dict:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/im-v1/message/list
-        """
-        url = f"{self.API_BASE_URL}/message/get_chat_messages"
-        params = {
-            "container_id": container_id,
-            "start_time": start_time,
-            "end_time": end_time,
-            "sort_type": sort_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_thread_messages(
-        self, container_id: str, page_token: str, sort_type: str = "ByCreateTimeAsc", page_size: int = 20
-    ) -> dict:
-        """
-        API url: https://open.larkoffice.com/document/server-docs/im-v1/message/list
-        """
-        url = f"{self.API_BASE_URL}/message/get_thread_messages"
-        params = {
-            "container_id": container_id,
-            "sort_type": sort_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_task(self, summary: str, start_time: str, end_time: str, completed_time: str, description: str) -> dict:
-        # 创建任务
-        url = f"{self.API_BASE_URL}/task/create_task"
-        payload = {
-            "summary": summary,
-            "start_time": start_time,
-            "end_time": end_time,
-            "completed_at": completed_time,
-            "description": description,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_task(
-        self, task_guid: str, summary: str, start_time: str, end_time: str, completed_time: str, description: str
-    ) -> dict:
-        # 更新任务
-        url = f"{self.API_BASE_URL}/task/update_task"
-        payload = {
-            "task_guid": task_guid,
-            "summary": summary,
-            "start_time": start_time,
-            "end_time": end_time,
-            "completed_time": completed_time,
-            "description": description,
-        }
-        res: dict = self._send_request(url, method="PATCH", payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_task(self, task_guid: str) -> dict:
-        # 删除任务
-        url = f"{self.API_BASE_URL}/task/delete_task"
-        payload = {
-            "task_guid": task_guid,
-        }
-        res: dict = self._send_request(url, method="DELETE", payload=payload)
-        return res
-
-    def add_members(self, task_guid: str, member_phone_or_email: str, member_role: str) -> dict:
-        # 删除任务
-        url = f"{self.API_BASE_URL}/task/add_members"
-        payload = {
-            "task_guid": task_guid,
-            "member_phone_or_email": member_phone_or_email,
-            "member_role": member_role,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        return res
-
-    def get_wiki_nodes(self, space_id: str, parent_node_token: str, page_token: str, page_size: int = 20) -> dict:
-        # 获取知识库全部子节点列表
-        url = f"{self.API_BASE_URL}/wiki/get_wiki_nodes"
-        payload = {
-            "space_id": space_id,
-            "parent_node_token": parent_node_token,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_primary_calendar(self, user_id_type: str = "open_id") -> dict:
-        url = f"{self.API_BASE_URL}/calendar/get_primary_calendar"
-        params = {
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_event(
-        self,
-        summary: str,
-        description: str,
-        start_time: str,
-        end_time: str,
-        attendee_ability: str,
-        need_notification: bool = True,
-        auto_record: bool = False,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/create_event"
-        payload = {
-            "summary": summary,
-            "description": description,
-            "need_notification": need_notification,
-            "start_time": start_time,
-            "end_time": end_time,
-            "auto_record": auto_record,
-            "attendee_ability": attendee_ability,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_event(
-        self,
-        event_id: str,
-        summary: str,
-        description: str,
-        need_notification: bool,
-        start_time: str,
-        end_time: str,
-        auto_record: bool,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/update_event/{event_id}"
-        payload: dict[str, Any] = {}
-        if summary:
-            payload["summary"] = summary
-        if description:
-            payload["description"] = description
-        if start_time:
-            payload["start_time"] = start_time
-        if end_time:
-            payload["end_time"] = end_time
-        if need_notification:
-            payload["need_notification"] = need_notification
-        if auto_record:
-            payload["auto_record"] = auto_record
-        res: dict = self._send_request(url, method="PATCH", payload=payload)
-        return res
-
-    def delete_event(self, event_id: str, need_notification: bool = True) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/delete_event/{event_id}"
-        params = {
-            "need_notification": need_notification,
-        }
-        res: dict = self._send_request(url, method="DELETE", params=params)
-        return res
-
-    def list_events(self, start_time: str, end_time: str, page_token: str, page_size: int = 50) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/list_events"
-        params = {
-            "start_time": start_time,
-            "end_time": end_time,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def search_events(
-        self,
-        query: str,
-        start_time: str,
-        end_time: str,
-        page_token: str,
-        user_id_type: str = "open_id",
-        page_size: int = 20,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/search_events"
-        payload = {
-            "query": query,
-            "start_time": start_time,
-            "end_time": end_time,
-            "page_token": page_token,
-            "user_id_type": user_id_type,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_event_attendees(self, event_id: str, attendee_phone_or_email: str, need_notification: bool = True) -> dict:
-        # 参加日程参会人
-        url = f"{self.API_BASE_URL}/calendar/add_event_attendees"
-        payload = {
-            "event_id": event_id,
-            "attendee_phone_or_email": attendee_phone_or_email,
-            "need_notification": need_notification,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_spreadsheet(
-        self,
-        title: str,
-        folder_token: str,
-    ) -> dict:
-        # 创建电子表格
-        url = f"{self.API_BASE_URL}/spreadsheet/create_spreadsheet"
-        payload = {
-            "title": title,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_spreadsheet(
-        self,
-        spreadsheet_token: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        # 获取电子表格信息
-        url = f"{self.API_BASE_URL}/spreadsheet/get_spreadsheet"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def list_spreadsheet_sheets(
-        self,
-        spreadsheet_token: str,
-    ) -> dict:
-        # 列出电子表格的所有工作表
-        url = f"{self.API_BASE_URL}/spreadsheet/list_spreadsheet_sheets"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_rows(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        length: int,
-        values: str,
-    ) -> dict:
-        # 增加行,在工作表最后添加
-        url = f"{self.API_BASE_URL}/spreadsheet/add_rows"
-        payload = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "length": length,
-            "values": values,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_cols(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        length: int,
-        values: str,
-    ) -> dict:
-        #  增加列,在工作表最后添加
-        url = f"{self.API_BASE_URL}/spreadsheet/add_cols"
-        payload = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "length": length,
-            "values": values,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_rows(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        start_row: int,
-        num_rows: int,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        # 读取工作表行数据
-        url = f"{self.API_BASE_URL}/spreadsheet/read_rows"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "start_row": start_row,
-            "num_rows": num_rows,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_cols(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        start_col: int,
-        num_cols: int,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        # 读取工作表列数据
-        url = f"{self.API_BASE_URL}/spreadsheet/read_cols"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "start_col": start_col,
-            "num_cols": num_cols,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_table(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        num_range: str,
-        query: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        # 自定义读取行列数据
-        url = f"{self.API_BASE_URL}/spreadsheet/read_table"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "range": num_range,
-            "query": query,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_base(
-        self,
-        name: str,
-        folder_token: str,
-    ) -> dict:
-        # 创建多维表格
-        url = f"{self.API_BASE_URL}/base/create_base"
-        payload = {
-            "name": name,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        records: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        # 新增多条记录
-        url = f"{self.API_BASE_URL}/base/add_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-        }
-        payload = {
-            "records": convert_add_records(records),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        records: str,
-        user_id_type: str,
-    ) -> dict:
-        # 更新多条记录
-        url = f"{self.API_BASE_URL}/base/update_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-        }
-        payload = {
-            "records": convert_update_records(records),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        record_ids: str,
-    ) -> dict:
-        # 删除多条记录
-        url = f"{self.API_BASE_URL}/base/delete_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-        }
-        if not record_ids:
-            record_id_list = []
-        else:
-            try:
-                record_id_list = json.loads(record_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "records": record_id_list,
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def search_record(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        view_id: str,
-        field_names: str,
-        sort: str,
-        filters: str,
-        page_token: str,
-        automatic_fields: bool = False,
-        user_id_type: str = "open_id",
-        page_size: int = 20,
-    ) -> dict:
-        # 查询记录，单次最多查询 500 行记录。
-        url = f"{self.API_BASE_URL}/base/search_record"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-
-        if not field_names:
-            field_name_list = []
-        else:
-            try:
-                field_name_list = json.loads(field_names)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not sort:
-            sort_list = []
-        else:
-            try:
-                sort_list = json.loads(sort)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not filters:
-            filter_dict = {}
-        else:
-            try:
-                filter_dict = json.loads(filters)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        payload: dict[str, Any] = {}
-
-        if view_id:
-            payload["view_id"] = view_id
-        if field_names:
-            payload["field_names"] = field_name_list
-        if sort:
-            payload["sort"] = sort_list
-        if filters:
-            payload["filter"] = filter_dict
-        if automatic_fields:
-            payload["automatic_fields"] = automatic_fields
-        res: dict = self._send_request(url, params=params, payload=payload)
-
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_base_info(
-        self,
-        app_token: str,
-    ) -> dict:
-        # 获取多维表格元数据
-        url = f"{self.API_BASE_URL}/base/get_base_info"
-        params = {
-            "app_token": app_token,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_table(
-        self,
-        app_token: str,
-        table_name: str,
-        default_view_name: str,
-        fields: str,
-    ) -> dict:
-        # 新增一个数据表
-        url = f"{self.API_BASE_URL}/base/create_table"
-        params = {
-            "app_token": app_token,
-        }
-        if not fields:
-            fields_list = []
-        else:
-            try:
-                fields_list = json.loads(fields)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "name": table_name,
-            "fields": fields_list,
-        }
-        if default_view_name:
-            payload["default_view_name"] = default_view_name
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_tables(
-        self,
-        app_token: str,
-        table_ids: str,
-        table_names: str,
-    ) -> dict:
-        # 删除多个数据表
-        url = f"{self.API_BASE_URL}/base/delete_tables"
-        params = {
-            "app_token": app_token,
-        }
-        if not table_ids:
-            table_id_list = []
-        else:
-            try:
-                table_id_list = json.loads(table_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not table_names:
-            table_name_list = []
-        else:
-            try:
-                table_name_list = json.loads(table_names)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        payload = {
-            "table_ids": table_id_list,
-            "table_names": table_name_list,
-        }
-
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def list_tables(
-        self,
-        app_token: str,
-        page_token: str,
-        page_size: int = 20,
-    ) -> dict:
-        # 列出多维表格下的全部数据表
-        url = f"{self.API_BASE_URL}/base/list_tables"
-        params = {
-            "app_token": app_token,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        record_ids: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/read_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-        }
-        if not record_ids:
-            record_id_list = []
-        else:
-            try:
-                record_id_list = json.loads(record_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "record_ids": record_id_list,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
diff --git a/api/core/tools/utils/lark_api_utils.py b/api/core/tools/utils/lark_api_utils.py
deleted file mode 100644
index de394a39bf..0000000000
--- a/api/core/tools/utils/lark_api_utils.py
+++ /dev/null
@@ -1,851 +0,0 @@
-import json
-from typing import Any, Optional, cast
-
-import httpx
-
-from core.tools.errors import ToolProviderCredentialValidationError
-from extensions.ext_redis import redis_client
-
-
-def lark_auth(credentials):
-    app_id = credentials.get("app_id")
-    app_secret = credentials.get("app_secret")
-    if not app_id or not app_secret:
-        raise ToolProviderCredentialValidationError("app_id and app_secret is required")
-    try:
-        assert LarkRequest(app_id, app_secret).tenant_access_token is not None
-    except Exception as e:
-        raise ToolProviderCredentialValidationError(str(e))
-
-
-class LarkRequest:
-    API_BASE_URL = "https://lark-plugin-api.solutionsuite.ai/lark-plugin"
-
-    def __init__(self, app_id: str, app_secret: str):
-        self.app_id = app_id
-        self.app_secret = app_secret
-
-    def convert_add_records(self, json_str):
-        try:
-            data = json.loads(json_str)
-            if not isinstance(data, list):
-                raise ValueError("Parsed data must be a list")
-            converted_data = [{"fields": json.dumps(item, ensure_ascii=False)} for item in data]
-            return converted_data
-        except json.JSONDecodeError:
-            raise ValueError("The input string is not valid JSON")
-        except Exception as e:
-            raise ValueError(f"An error occurred while processing the data: {e}")
-
-    def convert_update_records(self, json_str):
-        try:
-            data = json.loads(json_str)
-            if not isinstance(data, list):
-                raise ValueError("Parsed data must be a list")
-
-            converted_data = [
-                {"fields": json.dumps(record["fields"], ensure_ascii=False), "record_id": record["record_id"]}
-                for record in data
-                if "fields" in record and "record_id" in record
-            ]
-
-            if len(converted_data) != len(data):
-                raise ValueError("Each record must contain 'fields' and 'record_id'")
-
-            return converted_data
-        except json.JSONDecodeError:
-            raise ValueError("The input string is not valid JSON")
-        except Exception as e:
-            raise ValueError(f"An error occurred while processing the data: {e}")
-
-    @property
-    def tenant_access_token(self) -> str:
-        feishu_tenant_access_token = f"tools:{self.app_id}:feishu_tenant_access_token"
-        if redis_client.exists(feishu_tenant_access_token):
-            return str(redis_client.get(feishu_tenant_access_token).decode())
-        res: dict[str, str] = self.get_tenant_access_token(self.app_id, self.app_secret)
-        redis_client.setex(feishu_tenant_access_token, res.get("expire"), res.get("tenant_access_token"))
-        return res.get("tenant_access_token", "")
-
-    def _send_request(
-        self,
-        url: str,
-        method: str = "post",
-        require_token: bool = True,
-        payload: Optional[dict] = None,
-        params: Optional[dict] = None,
-    ):
-        headers = {
-            "Content-Type": "application/json",
-            "user-agent": "Dify",
-        }
-        if require_token:
-            headers["tenant-access-token"] = f"{self.tenant_access_token}"
-        res = httpx.request(method=method, url=url, headers=headers, json=payload, params=params, timeout=30).json()
-        if res.get("code") != 0:
-            raise Exception(res)
-        return res
-
-    def get_tenant_access_token(self, app_id: str, app_secret: str) -> dict:
-        url = f"{self.API_BASE_URL}/access_token/get_tenant_access_token"
-        payload = {"app_id": app_id, "app_secret": app_secret}
-        res: dict = self._send_request(url, require_token=False, payload=payload)
-        return res
-
-    def create_document(self, title: str, content: str, folder_token: str) -> dict:
-        url = f"{self.API_BASE_URL}/document/create_document"
-        payload = {
-            "title": title,
-            "content": content,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def write_document(self, document_id: str, content: str, position: str = "end") -> dict:
-        url = f"{self.API_BASE_URL}/document/write_document"
-        payload = {"document_id": document_id, "content": content, "position": position}
-        res: dict = self._send_request(url, payload=payload)
-        return res
-
-    def get_document_content(self, document_id: str, mode: str = "markdown", lang: str = "0") -> str | dict:
-        params = {
-            "document_id": document_id,
-            "mode": mode,
-            "lang": lang,
-        }
-        url = f"{self.API_BASE_URL}/document/get_document_content"
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            return cast(dict, res.get("data", {}).get("content"))
-        return ""
-
-    def list_document_blocks(
-        self, document_id: str, page_token: str, user_id_type: str = "open_id", page_size: int = 500
-    ) -> dict:
-        params = {
-            "user_id_type": user_id_type,
-            "document_id": document_id,
-            "page_size": page_size,
-            "page_token": page_token,
-        }
-        url = f"{self.API_BASE_URL}/document/list_document_blocks"
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def send_bot_message(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> dict:
-        url = f"{self.API_BASE_URL}/message/send_bot_message"
-        params = {
-            "receive_id_type": receive_id_type,
-        }
-        payload = {
-            "receive_id": receive_id,
-            "msg_type": msg_type,
-            "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def send_webhook_message(self, webhook: str, msg_type: str, content: str) -> dict:
-        url = f"{self.API_BASE_URL}/message/send_webhook_message"
-        payload = {
-            "webhook": webhook,
-            "msg_type": msg_type,
-            "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"),
-        }
-        res: dict = self._send_request(url, require_token=False, payload=payload)
-        return res
-
-    def get_chat_messages(
-        self,
-        container_id: str,
-        start_time: str,
-        end_time: str,
-        page_token: str,
-        sort_type: str = "ByCreateTimeAsc",
-        page_size: int = 20,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/message/get_chat_messages"
-        params = {
-            "container_id": container_id,
-            "start_time": start_time,
-            "end_time": end_time,
-            "sort_type": sort_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_thread_messages(
-        self, container_id: str, page_token: str, sort_type: str = "ByCreateTimeAsc", page_size: int = 20
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/message/get_thread_messages"
-        params = {
-            "container_id": container_id,
-            "sort_type": sort_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_task(self, summary: str, start_time: str, end_time: str, completed_time: str, description: str) -> dict:
-        url = f"{self.API_BASE_URL}/task/create_task"
-        payload = {
-            "summary": summary,
-            "start_time": start_time,
-            "end_time": end_time,
-            "completed_at": completed_time,
-            "description": description,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_task(
-        self, task_guid: str, summary: str, start_time: str, end_time: str, completed_time: str, description: str
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/task/update_task"
-        payload = {
-            "task_guid": task_guid,
-            "summary": summary,
-            "start_time": start_time,
-            "end_time": end_time,
-            "completed_time": completed_time,
-            "description": description,
-        }
-        res: dict = self._send_request(url, method="PATCH", payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_task(self, task_guid: str) -> dict:
-        url = f"{self.API_BASE_URL}/task/delete_task"
-        payload = {
-            "task_guid": task_guid,
-        }
-        res: dict = self._send_request(url, method="DELETE", payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_members(self, task_guid: str, member_phone_or_email: str, member_role: str) -> dict:
-        url = f"{self.API_BASE_URL}/task/add_members"
-        payload = {
-            "task_guid": task_guid,
-            "member_phone_or_email": member_phone_or_email,
-            "member_role": member_role,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_wiki_nodes(self, space_id: str, parent_node_token: str, page_token: str, page_size: int = 20) -> dict:
-        url = f"{self.API_BASE_URL}/wiki/get_wiki_nodes"
-        payload = {
-            "space_id": space_id,
-            "parent_node_token": parent_node_token,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_primary_calendar(self, user_id_type: str = "open_id") -> dict:
-        url = f"{self.API_BASE_URL}/calendar/get_primary_calendar"
-        params = {
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_event(
-        self,
-        summary: str,
-        description: str,
-        start_time: str,
-        end_time: str,
-        attendee_ability: str,
-        need_notification: bool = True,
-        auto_record: bool = False,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/create_event"
-        payload = {
-            "summary": summary,
-            "description": description,
-            "need_notification": need_notification,
-            "start_time": start_time,
-            "end_time": end_time,
-            "auto_record": auto_record,
-            "attendee_ability": attendee_ability,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_event(
-        self,
-        event_id: str,
-        summary: str,
-        description: str,
-        need_notification: bool,
-        start_time: str,
-        end_time: str,
-        auto_record: bool,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/update_event/{event_id}"
-        payload: dict[str, Any] = {}
-        if summary:
-            payload["summary"] = summary
-        if description:
-            payload["description"] = description
-        if start_time:
-            payload["start_time"] = start_time
-        if end_time:
-            payload["end_time"] = end_time
-        if need_notification:
-            payload["need_notification"] = need_notification
-        if auto_record:
-            payload["auto_record"] = auto_record
-        res: dict = self._send_request(url, method="PATCH", payload=payload)
-        return res
-
-    def delete_event(self, event_id: str, need_notification: bool = True) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/delete_event/{event_id}"
-        params = {
-            "need_notification": need_notification,
-        }
-        res: dict = self._send_request(url, method="DELETE", params=params)
-        return res
-
-    def list_events(self, start_time: str, end_time: str, page_token: str, page_size: int = 50) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/list_events"
-        params = {
-            "start_time": start_time,
-            "end_time": end_time,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def search_events(
-        self,
-        query: str,
-        start_time: str,
-        end_time: str,
-        page_token: str,
-        user_id_type: str = "open_id",
-        page_size: int = 20,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/search_events"
-        payload = {
-            "query": query,
-            "start_time": start_time,
-            "end_time": end_time,
-            "page_token": page_token,
-            "user_id_type": user_id_type,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_event_attendees(self, event_id: str, attendee_phone_or_email: str, need_notification: bool = True) -> dict:
-        url = f"{self.API_BASE_URL}/calendar/add_event_attendees"
-        payload = {
-            "event_id": event_id,
-            "attendee_phone_or_email": attendee_phone_or_email,
-            "need_notification": need_notification,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_spreadsheet(
-        self,
-        title: str,
-        folder_token: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/create_spreadsheet"
-        payload = {
-            "title": title,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_spreadsheet(
-        self,
-        spreadsheet_token: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/get_spreadsheet"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def list_spreadsheet_sheets(
-        self,
-        spreadsheet_token: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/list_spreadsheet_sheets"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_rows(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        length: int,
-        values: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/add_rows"
-        payload = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "length": length,
-            "values": values,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_cols(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        length: int,
-        values: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/add_cols"
-        payload = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "length": length,
-            "values": values,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_rows(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        start_row: int,
-        num_rows: int,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/read_rows"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "start_row": start_row,
-            "num_rows": num_rows,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_cols(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        start_col: int,
-        num_cols: int,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/read_cols"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "start_col": start_col,
-            "num_cols": num_cols,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_table(
-        self,
-        spreadsheet_token: str,
-        sheet_id: str,
-        sheet_name: str,
-        num_range: str,
-        query: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/spreadsheet/read_table"
-        params = {
-            "spreadsheet_token": spreadsheet_token,
-            "sheet_id": sheet_id,
-            "sheet_name": sheet_name,
-            "range": num_range,
-            "query": query,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_base(
-        self,
-        name: str,
-        folder_token: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/create_base"
-        payload = {
-            "name": name,
-            "folder_token": folder_token,
-        }
-        res: dict = self._send_request(url, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def add_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        records: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/add_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-        }
-        payload = {
-            "records": self.convert_add_records(records),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def update_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        records: str,
-        user_id_type: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/update_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-        }
-        payload = {
-            "records": self.convert_update_records(records),
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        record_ids: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/delete_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-        }
-        if not record_ids:
-            record_id_list = []
-        else:
-            try:
-                record_id_list = json.loads(record_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "records": record_id_list,
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def search_record(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        view_id: str,
-        field_names: str,
-        sort: str,
-        filters: str,
-        page_token: str,
-        automatic_fields: bool = False,
-        user_id_type: str = "open_id",
-        page_size: int = 20,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/search_record"
-
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-            "user_id_type": user_id_type,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-
-        if not field_names:
-            field_name_list = []
-        else:
-            try:
-                field_name_list = json.loads(field_names)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not sort:
-            sort_list = []
-        else:
-            try:
-                sort_list = json.loads(sort)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not filters:
-            filter_dict = {}
-        else:
-            try:
-                filter_dict = json.loads(filters)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        payload: dict[str, Any] = {}
-
-        if view_id:
-            payload["view_id"] = view_id
-        if field_names:
-            payload["field_names"] = field_name_list
-        if sort:
-            payload["sort"] = sort_list
-        if filters:
-            payload["filter"] = filter_dict
-        if automatic_fields:
-            payload["automatic_fields"] = automatic_fields
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def get_base_info(
-        self,
-        app_token: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/get_base_info"
-        params = {
-            "app_token": app_token,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def create_table(
-        self,
-        app_token: str,
-        table_name: str,
-        default_view_name: str,
-        fields: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/create_table"
-        params = {
-            "app_token": app_token,
-        }
-        if not fields:
-            fields_list = []
-        else:
-            try:
-                fields_list = json.loads(fields)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "name": table_name,
-            "fields": fields_list,
-        }
-        if default_view_name:
-            payload["default_view_name"] = default_view_name
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def delete_tables(
-        self,
-        app_token: str,
-        table_ids: str,
-        table_names: str,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/delete_tables"
-        params = {
-            "app_token": app_token,
-        }
-        if not table_ids:
-            table_id_list = []
-        else:
-            try:
-                table_id_list = json.loads(table_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        if not table_names:
-            table_name_list = []
-        else:
-            try:
-                table_name_list = json.loads(table_names)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-
-        payload = {
-            "table_ids": table_id_list,
-            "table_names": table_name_list,
-        }
-        res: dict = self._send_request(url, params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def list_tables(
-        self,
-        app_token: str,
-        page_token: str,
-        page_size: int = 20,
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/list_tables"
-        params = {
-            "app_token": app_token,
-            "page_token": page_token,
-            "page_size": page_size,
-        }
-        res: dict = self._send_request(url, method="GET", params=params)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
-
-    def read_records(
-        self,
-        app_token: str,
-        table_id: str,
-        table_name: str,
-        record_ids: str,
-        user_id_type: str = "open_id",
-    ) -> dict:
-        url = f"{self.API_BASE_URL}/base/read_records"
-        params = {
-            "app_token": app_token,
-            "table_id": table_id,
-            "table_name": table_name,
-        }
-        if not record_ids:
-            record_id_list = []
-        else:
-            try:
-                record_id_list = json.loads(record_ids)
-            except json.JSONDecodeError:
-                raise ValueError("The input string is not valid JSON")
-        payload = {
-            "record_ids": record_id_list,
-            "user_id_type": user_id_type,
-        }
-        res: dict = self._send_request(url, method="POST", params=params, payload=payload)
-        if "data" in res:
-            data: dict = res.get("data", {})
-            return data
-        return res
diff --git a/api/core/tools/utils/message_transformer.py b/api/core/tools/utils/message_transformer.py
index b28953264c..d92aa5ee60 100644
--- a/api/core/tools/utils/message_transformer.py
+++ b/api/core/tools/utils/message_transformer.py
@@ -1,4 +1,5 @@
 import logging
+from collections.abc import Generator
 from mimetypes import guess_extension
 from typing import Optional
 
@@ -12,58 +13,64 @@ logger = logging.getLogger(__name__)
 class ToolFileMessageTransformer:
     @classmethod
     def transform_tool_invoke_messages(
-        cls, messages: list[ToolInvokeMessage], user_id: str, tenant_id: str, conversation_id: str | None
-    ) -> list[ToolInvokeMessage]:
+        cls,
+        messages: Generator[ToolInvokeMessage, None, None],
+        user_id: str,
+        tenant_id: str,
+        conversation_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         Transform tool message and handle file download
         """
-        result = []
-
         for message in messages:
             if message.type in {ToolInvokeMessage.MessageType.TEXT, ToolInvokeMessage.MessageType.LINK}:
-                result.append(message)
-            elif message.type == ToolInvokeMessage.MessageType.IMAGE and isinstance(message.message, str):
+                yield message
+            elif message.type == ToolInvokeMessage.MessageType.IMAGE and isinstance(
+                message.message, ToolInvokeMessage.TextMessage
+            ):
                 # try to download image
                 try:
+                    assert isinstance(message.message, ToolInvokeMessage.TextMessage)
+
                     file = ToolFileManager.create_file_by_url(
-                        user_id=user_id, tenant_id=tenant_id, conversation_id=conversation_id, file_url=message.message
+                        user_id=user_id,
+                        tenant_id=tenant_id,
+                        file_url=message.message.text,
+                        conversation_id=conversation_id,
                     )
 
                     url = f"/files/tools/{file.id}{guess_extension(file.mimetype) or '.png'}"
 
-                    result.append(
-                        ToolInvokeMessage(
-                            type=ToolInvokeMessage.MessageType.IMAGE_LINK,
-                            message=url,
-                            save_as=message.save_as,
-                            meta=message.meta.copy() if message.meta is not None else {},
-                        )
+                    yield ToolInvokeMessage(
+                        type=ToolInvokeMessage.MessageType.IMAGE_LINK,
+                        message=ToolInvokeMessage.TextMessage(text=url),
+                        meta=message.meta.copy() if message.meta is not None else {},
                     )
                 except Exception as e:
-                    logger.exception(f"Failed to download image from {url}")
-                    result.append(
-                        ToolInvokeMessage(
-                            type=ToolInvokeMessage.MessageType.TEXT,
-                            message=f"Failed to download image: {message.message}, please try to download it manually.",
-                            meta=message.meta.copy() if message.meta is not None else {},
-                            save_as=message.save_as,
-                        )
+                    yield ToolInvokeMessage(
+                        type=ToolInvokeMessage.MessageType.TEXT,
+                        message=ToolInvokeMessage.TextMessage(
+                            text=f"Failed to download image: {message.message.text}: {e}"
+                        ),
+                        meta=message.meta.copy() if message.meta is not None else {},
                     )
             elif message.type == ToolInvokeMessage.MessageType.BLOB:
                 # get mime type and save blob to storage
-                assert message.meta is not None
-                mimetype = message.meta.get("mime_type", "octet/stream")
+                meta = message.meta or {}
+
+                mimetype = meta.get("mime_type", "octet/stream")
                 # if message is str, encode it to bytes
-                if isinstance(message.message, str):
-                    message.message = message.message.encode("utf-8")
+
+                if not isinstance(message.message, ToolInvokeMessage.BlobMessage):
+                    raise ValueError("unexpected message type")
 
                 # FIXME: should do a type check here.
-                assert isinstance(message.message, bytes)
+                assert isinstance(message.message.blob, bytes)
                 file = ToolFileManager.create_file_by_raw(
                     user_id=user_id,
                     tenant_id=tenant_id,
                     conversation_id=conversation_id,
-                    file_binary=message.message,
+                    file_binary=message.message.blob,
                     mimetype=mimetype,
                 )
 
@@ -71,54 +78,40 @@ class ToolFileMessageTransformer:
 
                 # check if file is image
                 if "image" in mimetype:
-                    result.append(
-                        ToolInvokeMessage(
-                            type=ToolInvokeMessage.MessageType.IMAGE_LINK,
-                            message=url,
-                            save_as=message.save_as,
-                            meta=message.meta.copy() if message.meta is not None else {},
-                        )
+                    yield ToolInvokeMessage(
+                        type=ToolInvokeMessage.MessageType.IMAGE_LINK,
+                        message=ToolInvokeMessage.TextMessage(text=url),
+                        meta=meta.copy() if meta is not None else {},
                     )
                 else:
-                    result.append(
-                        ToolInvokeMessage(
-                            type=ToolInvokeMessage.MessageType.LINK,
-                            message=url,
-                            save_as=message.save_as,
-                            meta=message.meta.copy() if message.meta is not None else {},
-                        )
+                    yield ToolInvokeMessage(
+                        type=ToolInvokeMessage.MessageType.BINARY_LINK,
+                        message=ToolInvokeMessage.TextMessage(text=url),
+                        meta=meta.copy() if meta is not None else {},
                     )
             elif message.type == ToolInvokeMessage.MessageType.FILE:
-                assert message.meta is not None
-                file_mata = message.meta.get("file")
-                if isinstance(file_mata, File):
-                    if file_mata.transfer_method == FileTransferMethod.TOOL_FILE:
-                        assert file_mata.related_id is not None
-                        url = cls.get_tool_file_url(tool_file_id=file_mata.related_id, extension=file_mata.extension)
-                        if file_mata.type == FileType.IMAGE:
-                            result.append(
-                                ToolInvokeMessage(
-                                    type=ToolInvokeMessage.MessageType.IMAGE_LINK,
-                                    message=url,
-                                    save_as=message.save_as,
-                                    meta=message.meta.copy() if message.meta is not None else {},
-                                )
+                meta = message.meta or {}
+                file = meta.get("file", None)
+                if isinstance(file, File):
+                    if file.transfer_method == FileTransferMethod.TOOL_FILE:
+                        assert file.related_id is not None
+                        url = cls.get_tool_file_url(tool_file_id=file.related_id, extension=file.extension)
+                        if file.type == FileType.IMAGE:
+                            yield ToolInvokeMessage(
+                                type=ToolInvokeMessage.MessageType.IMAGE_LINK,
+                                message=ToolInvokeMessage.TextMessage(text=url),
+                                meta=meta.copy() if meta is not None else {},
                             )
                         else:
-                            result.append(
-                                ToolInvokeMessage(
-                                    type=ToolInvokeMessage.MessageType.LINK,
-                                    message=url,
-                                    save_as=message.save_as,
-                                    meta=message.meta.copy() if message.meta is not None else {},
-                                )
+                            yield ToolInvokeMessage(
+                                type=ToolInvokeMessage.MessageType.LINK,
+                                message=ToolInvokeMessage.TextMessage(text=url),
+                                meta=meta.copy() if meta is not None else {},
                             )
                     else:
-                        result.append(message)
+                        yield message
             else:
-                result.append(message)
-
-        return result
+                yield message
 
     @classmethod
     def get_tool_file_url(cls, tool_file_id: str, extension: Optional[str]) -> str:
diff --git a/api/core/tools/utils/model_invocation_utils.py b/api/core/tools/utils/model_invocation_utils.py
index 3689dcc9e5..245470ea49 100644
--- a/api/core/tools/utils/model_invocation_utils.py
+++ b/api/core/tools/utils/model_invocation_utils.py
@@ -10,7 +10,7 @@ from typing import Optional, cast
 from core.model_manager import ModelManager
 from core.model_runtime.entities.llm_entities import LLMResult
 from core.model_runtime.entities.message_entities import PromptMessage
-from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
 from core.model_runtime.errors.invoke import (
     InvokeAuthorizationError,
     InvokeBadRequestError,
@@ -18,7 +18,7 @@ from core.model_runtime.errors.invoke import (
     InvokeRateLimitError,
     InvokeServerUnavailableError,
 )
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel, ModelPropertyKey
+from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.model_runtime.utils.encoders import jsonable_encoder
 from extensions.ext_database import db
 from models.tools import ToolModelInvoke
diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py
index b15a86b5c0..c69fc1f825 100644
--- a/api/core/tools/utils/parser.py
+++ b/api/core/tools/utils/parser.py
@@ -18,7 +18,7 @@ from core.tools.errors import ToolApiSchemaError, ToolNotSupportedError, ToolPro
 class ApiBasedToolSchemaParser:
     @staticmethod
     def parse_openapi_to_tool_bundle(
-        openapi: dict, extra_info: Optional[dict], warning: Optional[dict]
+        openapi: dict, extra_info: dict | None = None, warning: dict | None = None
     ) -> list[ApiToolBundle]:
         warning = warning if warning is not None else {}
         extra_info = extra_info if extra_info is not None else {}
@@ -191,7 +191,7 @@ class ApiBasedToolSchemaParser:
 
     @staticmethod
     def parse_openapi_yaml_to_tool_bundle(
-        yaml: str, extra_info: Optional[dict], warning: Optional[dict]
+        yaml: str, extra_info: dict | None = None, warning: dict | None = None
     ) -> list[ApiToolBundle]:
         """
         parse openapi yaml to tool bundle
@@ -208,7 +208,8 @@ class ApiBasedToolSchemaParser:
         return ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(openapi, extra_info=extra_info, warning=warning)
 
     @staticmethod
-    def parse_swagger_to_openapi(swagger: dict, extra_info: Optional[dict], warning: Optional[dict]) -> dict:
+    def parse_swagger_to_openapi(swagger: dict, extra_info: dict | None = None, warning: dict | None = None) -> dict:
+        warning = warning or {}
         """
         parse swagger to openapi
 
@@ -271,7 +272,7 @@ class ApiBasedToolSchemaParser:
 
     @staticmethod
     def parse_openai_plugin_json_to_tool_bundle(
-        json: str, extra_info: Optional[dict], warning: Optional[dict]
+        json: str, extra_info: dict | None = None, warning: dict | None = None
     ) -> list[ApiToolBundle]:
         """
         parse openapi plugin yaml to tool bundle
@@ -287,7 +288,7 @@ class ApiBasedToolSchemaParser:
             api = openai_plugin["api"]
             api_url = api["url"]
             api_type = api["type"]
-        except:
+        except JSONDecodeError:
             raise ToolProviderNotFoundError("Invalid openai plugin json.")
 
         if api_type != "openapi":
@@ -305,7 +306,7 @@ class ApiBasedToolSchemaParser:
 
     @staticmethod
     def auto_parse_to_tool_bundle(
-        content: str, extra_info: Optional[dict] = None, warning: Optional[dict] = None
+        content: str, extra_info: dict | None = None, warning: dict | None = None
     ) -> tuple[list[ApiToolBundle], str]:
         """
         auto parse to tool bundle
diff --git a/api/core/tools/utils/rag_web_reader.py b/api/core/tools/utils/rag_web_reader.py
new file mode 100644
index 0000000000..22c47fa814
--- /dev/null
+++ b/api/core/tools/utils/rag_web_reader.py
@@ -0,0 +1,17 @@
+import re
+
+
+def get_image_upload_file_ids(content):
+    pattern = r"!\[image\]\((http?://.*?(file-preview|image-preview))\)"
+    matches = re.findall(pattern, content)
+    image_upload_file_ids = []
+    for match in matches:
+        if match[1] == "file-preview":
+            content_pattern = r"files/([^/]+)/file-preview"
+        else:
+            content_pattern = r"files/([^/]+)/image-preview"
+        content_match = re.search(content_pattern, match[0])
+        if content_match:
+            image_upload_file_id = content_match.group(1)
+            image_upload_file_ids.append(image_upload_file_id)
+    return image_upload_file_ids
diff --git a/api/core/tools/utils/workflow_configuration_sync.py b/api/core/tools/utils/workflow_configuration_sync.py
index 08a112cfdb..d16d6fc576 100644
--- a/api/core/tools/utils/workflow_configuration_sync.py
+++ b/api/core/tools/utils/workflow_configuration_sync.py
@@ -27,7 +27,7 @@ class WorkflowToolConfigurationUtils:
     @classmethod
     def check_is_synced(
         cls, variables: list[VariableEntity], tool_configurations: list[WorkflowToolParameterConfiguration]
-    ) -> bool:
+    ):
         """
         check is synced
 
@@ -41,5 +41,3 @@ class WorkflowToolConfigurationUtils:
         for parameter in tool_configurations:
             if parameter.name not in variable_names:
                 raise ValueError("parameter configuration mismatch, please republish the tool to update")
-
-        return True
diff --git a/api/core/tools/provider/workflow_tool_provider.py b/api/core/tools/workflow_as_tool/provider.py
similarity index 66%
rename from api/core/tools/provider/workflow_tool_provider.py
rename to api/core/tools/workflow_as_tool/provider.py
index 17fe2e20cf..4777a019e4 100644
--- a/api/core/tools/provider/workflow_tool_provider.py
+++ b/api/core/tools/workflow_as_tool/provider.py
@@ -1,19 +1,25 @@
+from collections.abc import Mapping
 from typing import Optional
 
-from core.app.app_config.entities import VariableEntityType
+from pydantic import Field
+
+from core.app.app_config.entities import VariableEntity, VariableEntityType
 from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
+from core.plugin.entities.parameters import PluginParameterOption
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.__base.tool_runtime import ToolRuntime
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_entities import (
     ToolDescription,
+    ToolEntity,
     ToolIdentity,
     ToolParameter,
-    ToolParameterOption,
+    ToolProviderEntity,
+    ToolProviderIdentity,
     ToolProviderType,
 )
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.tool.tool import Tool
-from core.tools.tool.workflow_tool import WorkflowTool
 from core.tools.utils.workflow_configuration_sync import WorkflowToolConfigurationUtils
+from core.tools.workflow_as_tool.tool import WorkflowTool
 from extensions.ext_database import db
 from models.model import App, AppMode
 from models.tools import WorkflowToolProvider
@@ -31,6 +37,11 @@ VARIABLE_TO_PARAMETER_TYPE_MAPPING = {
 
 class WorkflowToolProviderController(ToolProviderController):
     provider_id: str
+    tools: list[WorkflowTool] = Field(default_factory=list)
+
+    def __init__(self, entity: ToolProviderEntity, provider_id: str):
+        super().__init__(entity=entity)
+        self.provider_id = provider_id
 
     @classmethod
     def from_db(cls, db_provider: WorkflowToolProvider) -> "WorkflowToolProviderController":
@@ -39,18 +50,19 @@ class WorkflowToolProviderController(ToolProviderController):
         if not app:
             raise ValueError("app not found")
 
-        controller = WorkflowToolProviderController.model_validate(
-            {
-                "identity": {
-                    "author": db_provider.user.name if db_provider.user_id and db_provider.user else "",
-                    "name": db_provider.label,
-                    "label": {"en_US": db_provider.label, "zh_Hans": db_provider.label},
-                    "description": {"en_US": db_provider.description, "zh_Hans": db_provider.description},
-                    "icon": db_provider.icon,
-                },
-                "credentials_schema": {},
-                "provider_id": db_provider.id or "",
-            }
+        controller = WorkflowToolProviderController(
+            entity=ToolProviderEntity(
+                identity=ToolProviderIdentity(
+                    author=db_provider.user.name if db_provider.user_id and db_provider.user else "",
+                    name=db_provider.label,
+                    label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label),
+                    description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
+                    icon=db_provider.icon,
+                ),
+                credentials_schema=[],
+                plugin_id=None,
+            ),
+            provider_id=db_provider.id or "",
         )
 
         # init tools
@@ -70,24 +82,25 @@ class WorkflowToolProviderController(ToolProviderController):
         :param app: the app
         :return: the tool
         """
-        workflow = (
+        workflow: Workflow | None = (
             db.session.query(Workflow)
             .filter(Workflow.app_id == db_provider.app_id, Workflow.version == db_provider.version)
             .first()
         )
+
         if not workflow:
             raise ValueError("workflow not found")
 
         # fetch start node
-        graph = workflow.graph_dict
-        features_dict = workflow.features_dict
+        graph: Mapping = workflow.graph_dict
+        features_dict: Mapping = workflow.features_dict
         features = WorkflowAppConfigManager.convert_features(config_dict=features_dict, app_mode=AppMode.WORKFLOW)
 
         parameters = db_provider.parameter_configurations
         variables = WorkflowToolConfigurationUtils.get_workflow_graph_variables(graph)
 
-        def fetch_workflow_variable(variable_name: str):
-            return next(filter(lambda x: x.variable == variable_name, variables), None)
+        def fetch_workflow_variable(variable_name: str) -> VariableEntity | None:
+            return next(filter(lambda x: x.variable == variable_name, variables), None)  # type: ignore
 
         user = db_provider.user
 
@@ -96,14 +109,14 @@ class WorkflowToolProviderController(ToolProviderController):
             variable = fetch_workflow_variable(parameter.name)
             if variable:
                 parameter_type = None
-                options = None
+                options = []
                 if variable.type not in VARIABLE_TO_PARAMETER_TYPE_MAPPING:
                     raise ValueError(f"unsupported variable type {variable.type}")
                 parameter_type = VARIABLE_TO_PARAMETER_TYPE_MAPPING[variable.type]
 
                 if variable.type == VariableEntityType.SELECT and variable.options:
                     options = [
-                        ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
+                        PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
                         for option in variable.options
                     ]
 
@@ -137,19 +150,24 @@ class WorkflowToolProviderController(ToolProviderController):
                 raise ValueError("variable not found")
 
         return WorkflowTool(
-            identity=ToolIdentity(
-                author=user.name if user else "",
-                name=db_provider.name,
-                label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label),
-                provider=self.provider_id,
-                icon=db_provider.icon,
+            workflow_as_tool_id=db_provider.id,
+            entity=ToolEntity(
+                identity=ToolIdentity(
+                    author=user.name if user else "",
+                    name=db_provider.name,
+                    label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label),
+                    provider=self.provider_id,
+                    icon=db_provider.icon,
+                ),
+                description=ToolDescription(
+                    human=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
+                    llm=db_provider.description,
+                ),
+                parameters=workflow_tool_parameters,
             ),
-            description=ToolDescription(
-                human=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description),
-                llm=db_provider.description,
+            runtime=ToolRuntime(
+                tenant_id=db_provider.tenant_id,
             ),
-            parameters=workflow_tool_parameters,
-            is_team_authorization=True,
             workflow_app_id=app.id,
             workflow_entities={
                 "app": app,
@@ -160,7 +178,7 @@ class WorkflowToolProviderController(ToolProviderController):
             label=db_provider.label,
         )
 
-    def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]:
+    def get_tools(self, tenant_id: str) -> list[WorkflowTool]:
         """
         fetch tools from database
 
@@ -171,7 +189,7 @@ class WorkflowToolProviderController(ToolProviderController):
         if self.tools is not None:
             return self.tools
 
-        db_providers: Optional[WorkflowToolProvider] = (
+        db_providers: WorkflowToolProvider | None = (
             db.session.query(WorkflowToolProvider)
             .filter(
                 WorkflowToolProvider.tenant_id == tenant_id,
@@ -185,11 +203,15 @@ class WorkflowToolProviderController(ToolProviderController):
         if not db_providers.app:
             raise ValueError("app not found")
 
-        self.tools = [self._get_db_provider_tool(db_providers, db_providers.app)]
+        app = db_providers.app
+        if not app:
+            raise ValueError("can not read app of workflow")
+
+        self.tools = [self._get_db_provider_tool(db_providers, app)]
 
         return self.tools
 
-    def get_tool(self, tool_name: str) -> Optional[Tool]:
+    def get_tool(self, tool_name: str) -> Optional[WorkflowTool]:  # type: ignore
         """
         get tool by name
 
@@ -200,9 +222,7 @@ class WorkflowToolProviderController(ToolProviderController):
             return None
 
         for tool in self.tools:
-            if tool.identity is None:
-                continue
-            if tool.identity.name == tool_name:
+            if tool.entity.identity.name == tool_name:
                 return tool
 
         return None
diff --git a/api/core/tools/tool/workflow_tool.py b/api/core/tools/workflow_as_tool/tool.py
similarity index 76%
rename from api/core/tools/tool/workflow_tool.py
rename to api/core/tools/workflow_as_tool/tool.py
index 9d13e2c49a..cb9b804c77 100644
--- a/api/core/tools/tool/workflow_tool.py
+++ b/api/core/tools/workflow_as_tool/tool.py
@@ -1,11 +1,12 @@
 import json
 import logging
-from copy import deepcopy
+from collections.abc import Generator
 from typing import Any, Optional, Union, cast
 
 from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod
-from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolProviderType
-from core.tools.tool.tool import Tool
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType
 from extensions.ext_database import db
 from factories.file_factory import build_from_mapping
 from models.account import Account
@@ -21,6 +22,7 @@ class WorkflowTool(Tool):
     workflow_entities: dict[str, Any]
     workflow_call_depth: int
     thread_pool_id: Optional[str] = None
+    workflow_as_tool_id: str
 
     label: str
 
@@ -28,6 +30,28 @@ class WorkflowTool(Tool):
     Workflow tool.
     """
 
+    def __init__(
+        self,
+        workflow_app_id: str,
+        workflow_as_tool_id: str,
+        version: str,
+        workflow_entities: dict[str, Any],
+        workflow_call_depth: int,
+        entity: ToolEntity,
+        runtime: ToolRuntime,
+        label: str = "Workflow",
+        thread_pool_id: Optional[str] = None,
+    ):
+        self.workflow_app_id = workflow_app_id
+        self.workflow_as_tool_id = workflow_as_tool_id
+        self.version = version
+        self.workflow_entities = workflow_entities
+        self.workflow_call_depth = workflow_call_depth
+        self.thread_pool_id = thread_pool_id
+        self.label = label
+
+        super().__init__(entity=entity, runtime=runtime)
+
     def tool_provider_type(self) -> ToolProviderType:
         """
         get the tool provider type
@@ -37,8 +61,13 @@ class WorkflowTool(Tool):
         return ToolProviderType.WORKFLOW
 
     def _invoke(
-        self, user_id: str, tool_parameters: dict[str, Any]
-    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+        conversation_id: Optional[str] = None,
+        app_id: Optional[str] = None,
+        message_id: Optional[str] = None,
+    ) -> Generator[ToolInvokeMessage, None, None]:
         """
         invoke the tool
         """
@@ -53,6 +82,7 @@ class WorkflowTool(Tool):
         generator = WorkflowAppGenerator()
         assert self.runtime is not None
         assert self.runtime.invoke_from is not None
+
         result = generator.generate(
             app_model=app,
             workflow=workflow,
@@ -69,20 +99,19 @@ class WorkflowTool(Tool):
         if data.get("error"):
             raise Exception(data.get("error"))
 
-        r = []
+        if data.get("error"):
+            raise Exception(data.get("error"))
 
         outputs = data.get("outputs")
-        if outputs == None:
+        if outputs is None:
             outputs = {}
         else:
-            outputs, extracted_files = self._extract_files(outputs)
-            for f in extracted_files:
-                r.append(self.create_file_message(f))
+            outputs, files = self._extract_files(outputs)  # type: ignore
+            for file in files:
+                yield self.create_file_message(file)  # type: ignore
 
-        r.append(self.create_text_message(json.dumps(outputs, ensure_ascii=False)))
-        r.append(self.create_json_message(outputs))
-
-        return r
+        yield self.create_text_message(json.dumps(outputs, ensure_ascii=False))
+        yield self.create_json_message(outputs)
 
     def _get_user(self, user_id: str) -> Union[EndUser, Account]:
         """
@@ -98,7 +127,7 @@ class WorkflowTool(Tool):
 
         return user
 
-    def fork_tool_runtime(self, runtime: dict[str, Any]) -> "WorkflowTool":
+    def fork_tool_runtime(self, runtime: ToolRuntime) -> "WorkflowTool":
         """
         fork a new tool with meta data
 
@@ -106,11 +135,10 @@ class WorkflowTool(Tool):
         :return: the new tool
         """
         return self.__class__(
-            identity=deepcopy(self.identity),
-            parameters=deepcopy(self.parameters),
-            description=deepcopy(self.description),
-            runtime=Tool.Runtime(**runtime),
+            entity=self.entity.model_copy(),
+            runtime=runtime,
             workflow_app_id=self.workflow_app_id,
+            workflow_as_tool_id=self.workflow_as_tool_id,
             workflow_entities=self.workflow_entities,
             workflow_call_depth=self.workflow_call_depth,
             version=self.version,
@@ -153,7 +181,7 @@ class WorkflowTool(Tool):
         :param tool_parameters: the tool parameters
         :return: tool_parameters, files
         """
-        parameter_rules = self.get_all_runtime_parameters()
+        parameter_rules = self.get_merged_runtime_parameters()
         parameters_result = {}
         files = []
         for parameter in parameter_rules:
@@ -175,7 +203,7 @@ class WorkflowTool(Tool):
                                 file_dict["url"] = file.generate_url()
 
                             files.append(file_dict)
-                    except Exception as e:
+                    except Exception:
                         logger.exception(f"Failed to transform file {file}")
             else:
                 parameters_result[parameter.name] = tool_parameters.get(parameter.name)
@@ -189,7 +217,7 @@ class WorkflowTool(Tool):
         :param result: the result
         :return: the result, files
         """
-        files = []
+        files: list[File] = []
         result = {}
         for key, value in outputs.items():
             if isinstance(value, list):
@@ -198,18 +226,19 @@ class WorkflowTool(Tool):
                         item = self._update_file_mapping(item)
                         file = build_from_mapping(
                             mapping=item,
-                            tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
+                            tenant_id=str(cast(ToolRuntime, self.runtime).tenant_id),
                         )
                         files.append(file)
             elif isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY:
                 value = self._update_file_mapping(value)
                 file = build_from_mapping(
                     mapping=value,
-                    tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
+                    tenant_id=str(cast(ToolRuntime, self.runtime).tenant_id),
                 )
                 files.append(file)
 
             result[key] = value
+
         return result, files
 
     def _update_file_mapping(self, file_dict: dict) -> dict:
diff --git a/api/core/workflow/entities/node_entities.py b/api/core/workflow/entities/node_entities.py
index ae5f117bf9..27c0e6702a 100644
--- a/api/core/workflow/entities/node_entities.py
+++ b/api/core/workflow/entities/node_entities.py
@@ -17,6 +17,7 @@ class NodeRunMetadataKey(StrEnum):
     TOTAL_PRICE = "total_price"
     CURRENCY = "currency"
     TOOL_INFO = "tool_info"
+    AGENT_LOG = "agent_log"
     ITERATION_ID = "iteration_id"
     ITERATION_INDEX = "iteration_index"
     PARALLEL_ID = "parallel_id"
@@ -48,3 +49,8 @@ class NodeRunResult(BaseModel):
 
     # single step node run retry
     retry_index: int = 0
+
+
+class AgentNodeStrategyInit(BaseModel):
+    name: str
+    icon: str | None = None
diff --git a/api/core/workflow/graph_engine/entities/event.py b/api/core/workflow/graph_engine/entities/event.py
index d591b68e7e..3130bb25da 100644
--- a/api/core/workflow/graph_engine/entities/event.py
+++ b/api/core/workflow/graph_engine/entities/event.py
@@ -4,6 +4,7 @@ from typing import Any, Optional
 
 from pydantic import BaseModel, Field
 
+from core.workflow.entities.node_entities import AgentNodeStrategyInit
 from core.workflow.graph_engine.entities.runtime_route_state import RouteNodeState
 from core.workflow.nodes import NodeType
 from core.workflow.nodes.base import BaseNodeData
@@ -66,8 +67,10 @@ class BaseNodeEvent(GraphEngineEvent):
 
 class NodeRunStartedEvent(BaseNodeEvent):
     predecessor_node_id: Optional[str] = None
-    parallel_mode_run_id: Optional[str] = None
     """predecessor node id"""
+    parallel_mode_run_id: Optional[str] = None
+    """iteration node parallel mode run id"""
+    agent_strategy: Optional[AgentNodeStrategyInit] = None
 
 
 class NodeRunStreamChunkEvent(BaseNodeEvent):
@@ -164,8 +167,8 @@ class IterationRunStartedEvent(BaseIterationEvent):
 
 class IterationRunNextEvent(BaseIterationEvent):
     index: int = Field(..., description="index")
-    pre_iteration_output: Optional[Any] = Field(None, description="pre iteration output")
-    duration: Optional[float] = Field(None, description="duration")
+    pre_iteration_output: Optional[Any] = None
+    duration: Optional[float] = None
 
 
 class IterationRunSucceededEvent(BaseIterationEvent):
@@ -186,4 +189,24 @@ class IterationRunFailedEvent(BaseIterationEvent):
     error: str = Field(..., description="failed reason")
 
 
-InNodeEvent = BaseNodeEvent | BaseParallelBranchEvent | BaseIterationEvent
+###########################################
+# Agent Events
+###########################################
+
+
+class BaseAgentEvent(GraphEngineEvent):
+    pass
+
+
+class AgentLogEvent(BaseAgentEvent):
+    id: str = Field(..., description="id")
+    label: str = Field(..., description="label")
+    node_execution_id: str = Field(..., description="node execution id")
+    parent_id: str | None = Field(..., description="parent id")
+    error: str | None = Field(..., description="error")
+    status: str = Field(..., description="status")
+    data: Mapping[str, Any] = Field(..., description="data")
+    metadata: Optional[Mapping[str, Any]] = Field(default=None, description="metadata")
+
+
+InNodeEvent = BaseNodeEvent | BaseParallelBranchEvent | BaseIterationEvent | BaseAgentEvent
diff --git a/api/core/workflow/graph_engine/entities/graph.py b/api/core/workflow/graph_engine/entities/graph.py
index 5c672c985b..1c6b4b6618 100644
--- a/api/core/workflow/graph_engine/entities/graph.py
+++ b/api/core/workflow/graph_engine/entities/graph.py
@@ -590,6 +590,8 @@ class Graph(BaseModel):
                             start_node_id=node_id,
                             routes_node_ids=routes_node_ids,
                         )
+                        # Exclude conditional branch nodes
+                        and all(edge.run_condition is None for edge in reverse_edge_mapping.get(node_id, []))
                     ):
                         if node_id not in merge_branch_node_ids:
                             merge_branch_node_ids[node_id] = []
diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py
index be7ccad4eb..937f4a2a59 100644
--- a/api/core/workflow/graph_engine/graph_engine.py
+++ b/api/core/workflow/graph_engine/graph_engine.py
@@ -1,3 +1,4 @@
+import contextvars
 import logging
 import queue
 import time
@@ -13,7 +14,7 @@ from flask import Flask, current_app
 from configs import dify_config
 from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult
+from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey, NodeRunResult
 from core.workflow.entities.variable_pool import VariablePool, VariableValue
 from core.workflow.graph_engine.condition_handlers.condition_manager import ConditionManager
 from core.workflow.graph_engine.entities.event import (
@@ -39,6 +40,8 @@ from core.workflow.graph_engine.entities.graph_init_params import GraphInitParam
 from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
 from core.workflow.graph_engine.entities.runtime_route_state import RouteNodeState
 from core.workflow.nodes import NodeType
+from core.workflow.nodes.agent.agent_node import AgentNode
+from core.workflow.nodes.agent.entities import AgentNodeData
 from core.workflow.nodes.answer.answer_stream_processor import AnswerStreamProcessor
 from core.workflow.nodes.answer.base_stream_processor import StreamProcessor
 from core.workflow.nodes.base import BaseNode
@@ -477,6 +480,7 @@ class GraphEngine:
                 **{
                     "flask_app": current_app._get_current_object(),  # type: ignore[attr-defined]
                     "q": q,
+                    "context": contextvars.copy_context(),
                     "parallel_id": parallel_id,
                     "parallel_start_node_id": edge.target_node_id,
                     "parent_parallel_id": in_parallel_id,
@@ -520,6 +524,7 @@ class GraphEngine:
     def _run_parallel_node(
         self,
         flask_app: Flask,
+        context: contextvars.Context,
         q: queue.Queue,
         parallel_id: str,
         parallel_start_node_id: str,
@@ -530,6 +535,9 @@ class GraphEngine:
         """
         Run parallel nodes
         """
+        for var, val in context.items():
+            var.set(val)
+
         with flask_app.app_context():
             try:
                 q.put(
@@ -600,6 +608,14 @@ class GraphEngine:
         Run node
         """
         # trigger node run start event
+        agent_strategy = (
+            AgentNodeStrategyInit(
+                name=cast(AgentNodeData, node_instance.node_data).agent_strategy_name,
+                icon=cast(AgentNode, node_instance).agent_strategy_icon,
+            )
+            if node_instance.node_type == NodeType.AGENT
+            else None
+        )
         yield NodeRunStartedEvent(
             id=node_instance.id,
             node_id=node_instance.node_id,
@@ -611,6 +627,7 @@ class GraphEngine:
             parallel_start_node_id=parallel_start_node_id,
             parent_parallel_id=parent_parallel_id,
             parent_parallel_start_node_id=parent_parallel_start_node_id,
+            agent_strategy=agent_strategy,
         )
 
         db.session.close()
diff --git a/api/core/workflow/nodes/agent/__init__.py b/api/core/workflow/nodes/agent/__init__.py
new file mode 100644
index 0000000000..95e7cf895b
--- /dev/null
+++ b/api/core/workflow/nodes/agent/__init__.py
@@ -0,0 +1,3 @@
+from .agent_node import AgentNode
+
+__all__ = ["AgentNode"]
diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py
new file mode 100644
index 0000000000..db84624961
--- /dev/null
+++ b/api/core/workflow/nodes/agent/agent_node.py
@@ -0,0 +1,254 @@
+from ast import literal_eval
+from collections.abc import Generator, Mapping, Sequence
+from typing import Any, cast
+
+from core.agent.entities import AgentToolEntity
+from core.agent.plugin_entities import AgentStrategyParameter
+from core.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
+from core.plugin.manager.exc import PluginDaemonClientSideError
+from core.plugin.manager.plugin import PluginInstallationManager
+from core.tools.entities.tool_entities import ToolProviderType
+from core.tools.tool_manager import ToolManager
+from core.workflow.entities.node_entities import NodeRunResult
+from core.workflow.entities.variable_pool import VariablePool
+from core.workflow.enums import SystemVariableKey
+from core.workflow.nodes.agent.entities import AgentNodeData
+from core.workflow.nodes.base.entities import BaseNodeData
+from core.workflow.nodes.enums import NodeType
+from core.workflow.nodes.event.event import RunCompletedEvent
+from core.workflow.nodes.tool.tool_node import ToolNode
+from core.workflow.utils.variable_template_parser import VariableTemplateParser
+from factories.agent_factory import get_plugin_agent_strategy
+from models.workflow import WorkflowNodeExecutionStatus
+
+
+class AgentNode(ToolNode):
+    """
+    Agent Node
+    """
+
+    _node_data_cls = AgentNodeData  # type: ignore
+    _node_type = NodeType.AGENT
+
+    def _run(self) -> Generator:
+        """
+        Run the agent node
+        """
+        node_data = cast(AgentNodeData, self.node_data)
+
+        try:
+            strategy = get_plugin_agent_strategy(
+                tenant_id=self.tenant_id,
+                agent_strategy_provider_name=node_data.agent_strategy_provider_name,
+                agent_strategy_name=node_data.agent_strategy_name,
+            )
+        except Exception as e:
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs={},
+                    error=f"Failed to get agent strategy: {str(e)}",
+                )
+            )
+            return
+
+        agent_parameters = strategy.get_parameters()
+
+        # get parameters
+        parameters = self._generate_agent_parameters(
+            agent_parameters=agent_parameters,
+            variable_pool=self.graph_runtime_state.variable_pool,
+            node_data=node_data,
+        )
+        parameters_for_log = self._generate_agent_parameters(
+            agent_parameters=agent_parameters,
+            variable_pool=self.graph_runtime_state.variable_pool,
+            node_data=node_data,
+            for_log=True,
+        )
+
+        # get conversation id
+        conversation_id = self.graph_runtime_state.variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID])
+
+        try:
+            message_stream = strategy.invoke(
+                params=parameters,
+                user_id=self.user_id,
+                app_id=self.app_id,
+                conversation_id=conversation_id.text if conversation_id else None,
+            )
+        except Exception as e:
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs=parameters_for_log,
+                    error=f"Failed to invoke agent: {str(e)}",
+                )
+            )
+            return
+
+        try:
+            # convert tool messages
+
+            yield from self._transform_message(
+                message_stream,
+                {
+                    "icon": self.agent_strategy_icon,
+                    "agent_strategy": cast(AgentNodeData, self.node_data).agent_strategy_name,
+                },
+                parameters_for_log,
+            )
+        except PluginDaemonClientSideError as e:
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs=parameters_for_log,
+                    error=f"Failed to transform agent message: {str(e)}",
+                )
+            )
+
+    def _generate_agent_parameters(
+        self,
+        *,
+        agent_parameters: Sequence[AgentStrategyParameter],
+        variable_pool: VariablePool,
+        node_data: AgentNodeData,
+        for_log: bool = False,
+    ) -> dict[str, Any]:
+        """
+        Generate parameters based on the given tool parameters, variable pool, and node data.
+
+        Args:
+            agent_parameters (Sequence[AgentParameter]): The list of agent parameters.
+            variable_pool (VariablePool): The variable pool containing the variables.
+            node_data (AgentNodeData): The data associated with the agent node.
+
+        Returns:
+            Mapping[str, Any]: A dictionary containing the generated parameters.
+
+        """
+        agent_parameters_dictionary = {parameter.name: parameter for parameter in agent_parameters}
+
+        result: dict[str, Any] = {}
+        for parameter_name in node_data.agent_parameters:
+            parameter = agent_parameters_dictionary.get(parameter_name)
+            if not parameter:
+                result[parameter_name] = None
+                continue
+            agent_input = node_data.agent_parameters[parameter_name]
+            if agent_input.type == "variable":
+                variable = variable_pool.get(agent_input.value)  # type: ignore
+                if variable is None:
+                    raise ValueError(f"Variable {agent_input.value} does not exist")
+                parameter_value = variable.value
+            elif agent_input.type in {"mixed", "constant"}:
+                segment_group = variable_pool.convert_template(str(agent_input.value))
+                parameter_value = segment_group.log if for_log else segment_group.text
+            else:
+                raise ValueError(f"Unknown agent input type '{agent_input.type}'")
+            value = parameter_value.strip()
+            if (parameter_value.startswith("{") and parameter_value.endswith("}")) or (
+                parameter_value.startswith("[") and parameter_value.endswith("]")
+            ):
+                value = literal_eval(parameter_value)  # transform string to python object
+            if parameter.type == "array[tools]":
+                value = cast(list[dict[str, Any]], value)
+                value = [tool for tool in value if tool.get("enabled", False)]
+
+            if not for_log:
+                if parameter.type == "array[tools]":
+                    value = cast(list[dict[str, Any]], value)
+                    tool_value = []
+                    for tool in value:
+                        entity = AgentToolEntity(
+                            provider_id=tool.get("provider_name", ""),
+                            provider_type=ToolProviderType.BUILT_IN,
+                            tool_name=tool.get("tool_name", ""),
+                            tool_parameters=tool.get("parameters", {}),
+                            plugin_unique_identifier=tool.get("plugin_unique_identifier", None),
+                        )
+
+                        extra = tool.get("extra", {})
+
+                        tool_runtime = ToolManager.get_agent_tool_runtime(
+                            self.tenant_id, self.app_id, entity, self.invoke_from
+                        )
+                        if tool_runtime.entity.description:
+                            tool_runtime.entity.description.llm = (
+                                extra.get("descrption", "") or tool_runtime.entity.description.llm
+                            )
+
+                        tool_value.append(
+                            {
+                                **tool_runtime.entity.model_dump(mode="json"),
+                                "runtime_parameters": tool_runtime.runtime.runtime_parameters,
+                            }
+                        )
+                    value = tool_value
+                if parameter.type == "model-selector":
+                    value = cast(dict[str, Any], value)
+                    model_instance = ModelManager().get_model_instance(
+                        tenant_id=self.tenant_id,
+                        provider=value.get("provider", ""),
+                        model_type=ModelType(value.get("model_type", "")),
+                        model=value.get("model", ""),
+                    )
+                    models = model_instance.model_type_instance.plugin_model_provider.declaration.models
+                    finded_model = next((model for model in models if model.model == value.get("model", "")), None)
+
+                    value["entity"] = finded_model.model_dump(mode="json") if finded_model else None
+
+            result[parameter_name] = value
+
+        return result
+
+    @classmethod
+    def _extract_variable_selector_to_variable_mapping(
+        cls,
+        *,
+        graph_config: Mapping[str, Any],
+        node_id: str,
+        node_data: BaseNodeData,
+    ) -> Mapping[str, Sequence[str]]:
+        """
+        Extract variable selector to variable mapping
+        :param graph_config: graph config
+        :param node_id: node id
+        :param node_data: node data
+        :return:
+        """
+        node_data = cast(AgentNodeData, node_data)
+        result: dict[str, Any] = {}
+        for parameter_name in node_data.agent_parameters:
+            input = node_data.agent_parameters[parameter_name]
+            if input.type in ["mixed", "constant"]:
+                selectors = VariableTemplateParser(str(input.value)).extract_variable_selectors()
+                for selector in selectors:
+                    result[selector.variable] = selector.value_selector
+            elif input.type == "variable":
+                result[parameter_name] = input.value
+
+        result = {node_id + "." + key: value for key, value in result.items()}
+
+        return result
+
+    @property
+    def agent_strategy_icon(self) -> str | None:
+        """
+        Get agent strategy icon
+        :return:
+        """
+        manager = PluginInstallationManager()
+        plugins = manager.list_plugins(self.tenant_id)
+        try:
+            current_plugin = next(
+                plugin
+                for plugin in plugins
+                if f"{plugin.plugin_id}/{plugin.name}"
+                == cast(AgentNodeData, self.node_data).agent_strategy_provider_name
+            )
+            icon = current_plugin.declaration.icon
+        except StopIteration:
+            icon = None
+        return icon
diff --git a/api/core/workflow/nodes/agent/entities.py b/api/core/workflow/nodes/agent/entities.py
new file mode 100644
index 0000000000..066dcd5666
--- /dev/null
+++ b/api/core/workflow/nodes/agent/entities.py
@@ -0,0 +1,18 @@
+from typing import Any, Literal, Union
+
+from pydantic import BaseModel
+
+from core.tools.entities.tool_entities import ToolSelector
+from core.workflow.nodes.base.entities import BaseNodeData
+
+
+class AgentNodeData(BaseNodeData):
+    agent_strategy_provider_name: str  # redundancy
+    agent_strategy_name: str
+    agent_strategy_label: str  # redundancy
+
+    class AgentInput(BaseModel):
+        value: Union[list[str], list[ToolSelector], Any]
+        type: Literal["mixed", "variable", "constant"]
+
+    agent_parameters: dict[str, AgentInput]
diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py
index 2f82bf8c38..b1a50c2dcc 100644
--- a/api/core/workflow/nodes/code/code_node.py
+++ b/api/core/workflow/nodes/code/code_node.py
@@ -195,7 +195,7 @@ class CodeNode(BaseNode[CodeNodeData]):
             if output_config.type == "object":
                 # check if output is object
                 if not isinstance(result.get(output_name), dict):
-                    if isinstance(result.get(output_name), type(None)):
+                    if result[output_name] is None:
                         transformed_result[output_name] = None
                     else:
                         raise OutputValidationError(
@@ -223,7 +223,7 @@ class CodeNode(BaseNode[CodeNodeData]):
             elif output_config.type == "array[number]":
                 # check if array of number available
                 if not isinstance(result[output_name], list):
-                    if isinstance(result[output_name], type(None)):
+                    if result[output_name] is None:
                         transformed_result[output_name] = None
                     else:
                         raise OutputValidationError(
@@ -244,7 +244,7 @@ class CodeNode(BaseNode[CodeNodeData]):
             elif output_config.type == "array[string]":
                 # check if array of string available
                 if not isinstance(result[output_name], list):
-                    if isinstance(result[output_name], type(None)):
+                    if result[output_name] is None:
                         transformed_result[output_name] = None
                     else:
                         raise OutputValidationError(
@@ -265,7 +265,7 @@ class CodeNode(BaseNode[CodeNodeData]):
             elif output_config.type == "array[object]":
                 # check if array of object available
                 if not isinstance(result[output_name], list):
-                    if isinstance(result[output_name], type(None)):
+                    if result[output_name] is None:
                         transformed_result[output_name] = None
                     else:
                         raise OutputValidationError(
diff --git a/api/core/workflow/nodes/enums.py b/api/core/workflow/nodes/enums.py
index 7970a49aa4..25e049577a 100644
--- a/api/core/workflow/nodes/enums.py
+++ b/api/core/workflow/nodes/enums.py
@@ -22,6 +22,7 @@ class NodeType(StrEnum):
     VARIABLE_ASSIGNER = "assigner"
     DOCUMENT_EXTRACTOR = "document-extractor"
     LIST_OPERATOR = "list-operator"
+    AGENT = "agent"
 
 
 class ErrorStrategy(StrEnum):
diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py
index f1289558ff..a7d0aefc6d 100644
--- a/api/core/workflow/nodes/iteration/iteration_node.py
+++ b/api/core/workflow/nodes/iteration/iteration_node.py
@@ -1,3 +1,4 @@
+import contextvars
 import logging
 import uuid
 from collections.abc import Generator, Mapping, Sequence
@@ -174,6 +175,7 @@ class IterationNode(BaseNode[IterationNodeData]):
                         self._run_single_iter_parallel,
                         flask_app=current_app._get_current_object(),  # type: ignore
                         q=q,
+                        context=contextvars.copy_context(),
                         iterator_list_value=iterator_list_value,
                         inputs=inputs,
                         outputs=outputs,
@@ -568,6 +570,7 @@ class IterationNode(BaseNode[IterationNodeData]):
         self,
         *,
         flask_app: Flask,
+        context: contextvars.Context,
         q: Queue,
         iterator_list_value: Sequence[str],
         inputs: Mapping[str, list],
@@ -582,6 +585,8 @@ class IterationNode(BaseNode[IterationNodeData]):
         """
         run single iteration in parallel mode
         """
+        for var, val in context.items():
+            var.set(val)
         with flask_app.app_context():
             parallel_mode_run_id = uuid.uuid4().hex
             graph_engine_copy = graph_engine.create_copy()
diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py
index 9f30048fe6..349d1a7fca 100644
--- a/api/core/workflow/nodes/llm/node.py
+++ b/api/core/workflow/nodes/llm/node.py
@@ -236,9 +236,9 @@ class LLMNode(BaseNode[LLMNodeData]):
         db.session.close()
 
         invoke_result = model_instance.invoke_llm(
-            prompt_messages=prompt_messages,
+            prompt_messages=list(prompt_messages),
             model_parameters=node_data_model.completion_params,
-            stop=stop,
+            stop=list(stop or []),
             stream=True,
             user=self.user_id,
         )
diff --git a/api/core/workflow/nodes/node_mapping.py b/api/core/workflow/nodes/node_mapping.py
index 51fc5129cd..6341b9455c 100644
--- a/api/core/workflow/nodes/node_mapping.py
+++ b/api/core/workflow/nodes/node_mapping.py
@@ -1,5 +1,6 @@
 from collections.abc import Mapping
 
+from core.workflow.nodes.agent.agent_node import AgentNode
 from core.workflow.nodes.answer import AnswerNode
 from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.code import CodeNode
@@ -101,4 +102,8 @@ NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = {
         LATEST_VERSION: ListOperatorNode,
         "1": ListOperatorNode,
     },
+    NodeType.AGENT: {
+        LATEST_VERSION: AgentNode,
+        "1": AgentNode,
+    },
 }
diff --git a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
index 9c88047f2c..e147caacf3 100644
--- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
+++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
@@ -244,8 +244,8 @@ class ParameterExtractorNode(LLMNode):
         if not isinstance(invoke_result, LLMResult):
             raise InvalidInvokeResultError(f"Invalid invoke result: {invoke_result}")
 
-        text = invoke_result.message.content
-        if not isinstance(text, str | None):
+        text = invoke_result.message.content or ""
+        if not isinstance(text, str):
             raise InvalidTextContentTypeError(f"Invalid text content type: {type(text)}. Expected str.")
 
         usage = invoke_result.usage
diff --git a/api/core/workflow/nodes/tool/entities.py b/api/core/workflow/nodes/tool/entities.py
index 9e29791481..21023d4ab7 100644
--- a/api/core/workflow/nodes/tool/entities.py
+++ b/api/core/workflow/nodes/tool/entities.py
@@ -3,16 +3,18 @@ from typing import Any, Literal, Union
 from pydantic import BaseModel, field_validator
 from pydantic_core.core_schema import ValidationInfo
 
-from core.workflow.nodes.base import BaseNodeData
+from core.tools.entities.tool_entities import ToolProviderType
+from core.workflow.nodes.base.entities import BaseNodeData
 
 
 class ToolEntity(BaseModel):
     provider_id: str
-    provider_type: Literal["builtin", "api", "workflow"]
+    provider_type: ToolProviderType
     provider_name: str  # redundancy
     tool_name: str
     tool_label: str  # redundancy
     tool_configurations: dict[str, Any]
+    plugin_unique_identifier: str | None = None  # redundancy
 
     @field_validator("tool_configurations", mode="before")
     @classmethod
diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py
index 01d07e4949..8518db5d80 100644
--- a/api/core/workflow/nodes/tool/tool_node.py
+++ b/api/core/workflow/nodes/tool/tool_node.py
@@ -1,24 +1,31 @@
-from collections.abc import Mapping, Sequence
-from typing import Any
-from uuid import UUID
+from collections.abc import Generator, Mapping, Sequence
+from typing import Any, cast
 
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler
-from core.file import File, FileTransferMethod, FileType
+from core.file import File, FileTransferMethod
+from core.plugin.manager.exc import PluginDaemonClientSideError
+from core.plugin.manager.plugin import PluginInstallationManager
 from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter
 from core.tools.tool_engine import ToolEngine
 from core.tools.utils.message_transformer import ToolFileMessageTransformer
+from core.variables.segments import ArrayAnySegment
+from core.variables.variables import ArrayAnyVariable
 from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult
 from core.workflow.entities.variable_pool import VariablePool
+from core.workflow.enums import SystemVariableKey
+from core.workflow.graph_engine.entities.event import AgentLogEvent
 from core.workflow.nodes.base import BaseNode
 from core.workflow.nodes.enums import NodeType
+from core.workflow.nodes.event import RunCompletedEvent, RunStreamChunkEvent
 from core.workflow.utils.variable_template_parser import VariableTemplateParser
 from extensions.ext_database import db
 from factories import file_factory
 from models import ToolFile
 from models.workflow import WorkflowNodeExecutionStatus
+from services.tools.builtin_tools_manage_service import BuiltinToolManageService
 
 from .entities import ToolNodeData
 from .exc import (
@@ -36,11 +43,18 @@ class ToolNode(BaseNode[ToolNodeData]):
     _node_data_cls = ToolNodeData
     _node_type = NodeType.TOOL
 
-    def _run(self) -> NodeRunResult:
+    def _run(self) -> Generator:
+        """
+        Run the tool node
+        """
+
+        node_data = cast(ToolNodeData, self.node_data)
+
         # fetch tool icon
         tool_info = {
-            "provider_type": self.node_data.provider_type,
-            "provider_id": self.node_data.provider_id,
+            "provider_type": node_data.provider_type.value,
+            "provider_id": node_data.provider_id,
+            "plugin_unique_identifier": node_data.plugin_unique_identifier,
         }
 
         # get tool runtime
@@ -51,18 +65,19 @@ class ToolNode(BaseNode[ToolNodeData]):
                 self.tenant_id, self.app_id, self.node_id, self.node_data, self.invoke_from
             )
         except ToolNodeError as e:
-            return NodeRunResult(
-                status=WorkflowNodeExecutionStatus.FAILED,
-                inputs={},
-                metadata={
-                    NodeRunMetadataKey.TOOL_INFO: tool_info,
-                },
-                error=f"Failed to get tool runtime: {str(e)}",
-                error_type=type(e).__name__,
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs={},
+                    metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
+                    error=f"Failed to get tool runtime: {str(e)}",
+                    error_type=type(e).__name__,
+                )
             )
+            return
 
         # get parameters
-        tool_parameters = tool_runtime.parameters or []
+        tool_parameters = tool_runtime.get_merged_runtime_parameters() or []
         parameters = self._generate_parameters(
             tool_parameters=tool_parameters,
             variable_pool=self.graph_runtime_state.variable_pool,
@@ -75,52 +90,45 @@ class ToolNode(BaseNode[ToolNodeData]):
             for_log=True,
         )
 
+        # get conversation id
+        conversation_id = self.graph_runtime_state.variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID])
+
         try:
-            messages = ToolEngine.workflow_invoke(
+            message_stream = ToolEngine.generic_invoke(
                 tool=tool_runtime,
                 tool_parameters=parameters,
                 user_id=self.user_id,
                 workflow_tool_callback=DifyWorkflowCallbackHandler(),
                 workflow_call_depth=self.workflow_call_depth,
                 thread_pool_id=self.thread_pool_id,
+                app_id=self.app_id,
+                conversation_id=conversation_id.text if conversation_id else None,
             )
         except ToolNodeError as e:
-            return NodeRunResult(
-                status=WorkflowNodeExecutionStatus.FAILED,
-                inputs=parameters_for_log,
-                metadata={
-                    NodeRunMetadataKey.TOOL_INFO: tool_info,
-                },
-                error=f"Failed to invoke tool: {str(e)}",
-                error_type=type(e).__name__,
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs=parameters_for_log,
+                    metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
+                    error=f"Failed to invoke tool: {str(e)}",
+                    error_type=type(e).__name__,
+                )
             )
-        except Exception as e:
-            return NodeRunResult(
-                status=WorkflowNodeExecutionStatus.FAILED,
-                inputs=parameters_for_log,
-                metadata={
-                    NodeRunMetadataKey.TOOL_INFO: tool_info,
-                },
-                error=f"Failed to invoke tool: {str(e)}",
-                error_type="UnknownError",
+            return
+
+        try:
+            # convert tool messages
+            yield from self._transform_message(message_stream, tool_info, parameters_for_log)
+        except PluginDaemonClientSideError as e:
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    inputs=parameters_for_log,
+                    metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
+                    error=f"Failed to transform tool message: {str(e)}",
+                )
             )
 
-        # convert tool messages
-        plain_text, files, json = self._convert_tool_messages(messages)
-
-        return NodeRunResult(
-            status=WorkflowNodeExecutionStatus.SUCCEEDED,
-            outputs={
-                "text": plain_text,
-                "files": files,
-                "json": json,
-            },
-            metadata={
-                NodeRunMetadataKey.TOOL_INFO: tool_info,
-            },
-            inputs=parameters_for_log,
-        )
-
     def _generate_parameters(
         self,
         *,
@@ -128,7 +136,7 @@ class ToolNode(BaseNode[ToolNodeData]):
         variable_pool: VariablePool,
         node_data: ToolNodeData,
         for_log: bool = False,
-    ) -> Mapping[str, Any]:
+    ) -> dict[str, Any]:
         """
         Generate parameters based on the given tool parameters, variable pool, and node data.
 
@@ -164,37 +172,52 @@ class ToolNode(BaseNode[ToolNodeData]):
 
         return result
 
-    def _convert_tool_messages(
+    def _fetch_files(self, variable_pool: VariablePool) -> list[File]:
+        variable = variable_pool.get(["sys", SystemVariableKey.FILES.value])
+        assert isinstance(variable, ArrayAnyVariable | ArrayAnySegment)
+        return list(variable.value) if variable else []
+
+    def _transform_message(
         self,
-        messages: list[ToolInvokeMessage],
-    ):
+        messages: Generator[ToolInvokeMessage, None, None],
+        tool_info: Mapping[str, Any],
+        parameters_for_log: dict[str, Any],
+    ) -> Generator:
         """
         Convert ToolInvokeMessages into tuple[plain_text, files]
         """
         # transform message and handle file storage
-        messages = ToolFileMessageTransformer.transform_tool_invoke_messages(
+        message_stream = ToolFileMessageTransformer.transform_tool_invoke_messages(
             messages=messages,
             user_id=self.user_id,
             tenant_id=self.tenant_id,
             conversation_id=None,
         )
-        # extract plain text and files
-        files = self._extract_tool_response_binary(messages)
-        plain_text = self._extract_tool_response_text(messages)
-        json = self._extract_tool_response_json(messages)
 
-        return plain_text, files, json
+        text = ""
+        files: list[File] = []
+        json: list[dict] = []
+
+        agent_logs: list[AgentLogEvent] = []
+        agent_execution_metadata: Mapping[NodeRunMetadataKey, Any] = {}
+
+        variables: dict[str, Any] = {}
+
+        for message in message_stream:
+            if message.type in {
+                ToolInvokeMessage.MessageType.IMAGE_LINK,
+                ToolInvokeMessage.MessageType.BINARY_LINK,
+                ToolInvokeMessage.MessageType.IMAGE,
+            }:
+                assert isinstance(message.message, ToolInvokeMessage.TextMessage)
+
+                url = message.message.text
+                if message.meta:
+                    transfer_method = message.meta.get("transfer_method", FileTransferMethod.TOOL_FILE)
+                else:
+                    transfer_method = FileTransferMethod.TOOL_FILE
 
-    def _extract_tool_response_binary(self, tool_response: list[ToolInvokeMessage]) -> list[File]:
-        """
-        Extract tool response binary
-        """
-        result = []
-        for response in tool_response:
-            if response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}:
-                url = str(response.message) if response.message else None
                 tool_file_id = str(url).split("/")[-1].split(".")[0]
-                transfer_method = response.meta.get("transfer_method", FileTransferMethod.TOOL_FILE)
 
                 with Session(db.engine) as session:
                     stmt = select(ToolFile).where(ToolFile.id == tool_file_id)
@@ -204,7 +227,7 @@ class ToolNode(BaseNode[ToolNodeData]):
 
                 mapping = {
                     "tool_file_id": tool_file_id,
-                    "type": FileType.IMAGE,
+                    "type": file_factory.get_file_type_by_mime_type(tool_file.mimetype),
                     "transfer_method": transfer_method,
                     "url": url,
                 }
@@ -212,70 +235,139 @@ class ToolNode(BaseNode[ToolNodeData]):
                     mapping=mapping,
                     tenant_id=self.tenant_id,
                 )
-                result.append(file)
-            elif response.type == ToolInvokeMessage.MessageType.BLOB:
-                tool_file_id = str(response.message).split("/")[-1].split(".")[0]
+                files.append(file)
+            elif message.type == ToolInvokeMessage.MessageType.BLOB:
+                # get tool file id
+                assert isinstance(message.message, ToolInvokeMessage.TextMessage)
+                assert message.meta
+
+                tool_file_id = message.message.text.split("/")[-1].split(".")[0]
                 with Session(db.engine) as session:
                     stmt = select(ToolFile).where(ToolFile.id == tool_file_id)
                     tool_file = session.scalar(stmt)
                     if tool_file is None:
-                        raise ValueError(f"tool file {tool_file_id} not exists")
+                        raise ToolFileError(f"tool file {tool_file_id} not exists")
+
                 mapping = {
                     "tool_file_id": tool_file_id,
                     "transfer_method": FileTransferMethod.TOOL_FILE,
                 }
-                file = file_factory.build_from_mapping(
-                    mapping=mapping,
-                    tenant_id=self.tenant_id,
+
+                files.append(
+                    file_factory.build_from_mapping(
+                        mapping=mapping,
+                        tenant_id=self.tenant_id,
+                    )
                 )
-                result.append(file)
-            elif response.type == ToolInvokeMessage.MessageType.LINK:
-                url = str(response.message)
-                transfer_method = FileTransferMethod.TOOL_FILE
-                tool_file_id = url.split("/")[-1].split(".")[0]
-                try:
-                    UUID(tool_file_id)
-                except ValueError:
-                    raise ToolFileError(f"cannot extract tool file id from url {url}")
-                with Session(db.engine) as session:
-                    stmt = select(ToolFile).where(ToolFile.id == tool_file_id)
-                    tool_file = session.scalar(stmt)
-                    if tool_file is None:
-                        raise ToolFileError(f"Tool file {tool_file_id} does not exist")
-                mapping = {
-                    "tool_file_id": tool_file_id,
-                    "transfer_method": transfer_method,
-                    "url": url,
-                }
-                file = file_factory.build_from_mapping(
-                    mapping=mapping,
-                    tenant_id=self.tenant_id,
+            elif message.type == ToolInvokeMessage.MessageType.TEXT:
+                assert isinstance(message.message, ToolInvokeMessage.TextMessage)
+                text += message.message.text
+                yield RunStreamChunkEvent(
+                    chunk_content=message.message.text, from_variable_selector=[self.node_id, "text"]
                 )
-                result.append(file)
+            elif message.type == ToolInvokeMessage.MessageType.JSON:
+                assert isinstance(message.message, ToolInvokeMessage.JsonMessage)
+                if self.node_type == NodeType.AGENT:
+                    msg_metadata = message.message.json_object.pop("execution_metadata", {})
+                    agent_execution_metadata = {
+                        key: value for key, value in msg_metadata.items() if key in NodeRunMetadataKey
+                    }
+                json.append(message.message.json_object)
+            elif message.type == ToolInvokeMessage.MessageType.LINK:
+                assert isinstance(message.message, ToolInvokeMessage.TextMessage)
+                stream_text = f"Link: {message.message.text}\n"
+                text += stream_text
+                yield RunStreamChunkEvent(chunk_content=stream_text, from_variable_selector=[self.node_id, "text"])
+            elif message.type == ToolInvokeMessage.MessageType.VARIABLE:
+                assert isinstance(message.message, ToolInvokeMessage.VariableMessage)
+                variable_name = message.message.variable_name
+                variable_value = message.message.variable_value
+                if message.message.stream:
+                    if not isinstance(variable_value, str):
+                        raise ValueError("When 'stream' is True, 'variable_value' must be a string.")
+                    if variable_name not in variables:
+                        variables[variable_name] = ""
+                    variables[variable_name] += variable_value
 
-            elif response.type == ToolInvokeMessage.MessageType.FILE:
-                assert response.meta is not None
-                result.append(response.meta["file"])
+                    yield RunStreamChunkEvent(
+                        chunk_content=variable_value, from_variable_selector=[self.node_id, variable_name]
+                    )
+                else:
+                    variables[variable_name] = variable_value
+            elif message.type == ToolInvokeMessage.MessageType.FILE:
+                assert message.meta is not None
+                files.append(message.meta["file"])
+            elif message.type == ToolInvokeMessage.MessageType.LOG:
+                assert isinstance(message.message, ToolInvokeMessage.LogMessage)
+                if message.message.metadata:
+                    icon = tool_info.get("icon", "")
+                    dict_metadata = dict(message.message.metadata)
+                    if dict_metadata.get("provider"):
+                        manager = PluginInstallationManager()
+                        plugins = manager.list_plugins(self.tenant_id)
+                        try:
+                            current_plugin = next(
+                                plugin
+                                for plugin in plugins
+                                if f"{plugin.plugin_id}/{plugin.name}" == dict_metadata["provider"]
+                            )
+                            icon = current_plugin.declaration.icon
+                        except StopIteration:
+                            pass
+                        try:
+                            builtin_tool = next(
+                                provider
+                                for provider in BuiltinToolManageService.list_builtin_tools(
+                                    self.user_id,
+                                    self.tenant_id,
+                                )
+                                if provider.name == dict_metadata["provider"]
+                            )
+                            icon = builtin_tool.icon
+                        except StopIteration:
+                            pass
 
-        return result
+                        dict_metadata["icon"] = icon
+                        message.message.metadata = dict_metadata
+                agent_log = AgentLogEvent(
+                    id=message.message.id,
+                    node_execution_id=self.id,
+                    parent_id=message.message.parent_id,
+                    error=message.message.error,
+                    status=message.message.status.value,
+                    data=message.message.data,
+                    label=message.message.label,
+                    metadata=message.message.metadata,
+                )
 
-    def _extract_tool_response_text(self, tool_response: list[ToolInvokeMessage]) -> str:
-        """
-        Extract tool response text
-        """
-        return "\n".join(
-            [
-                str(message.message)
-                if message.type == ToolInvokeMessage.MessageType.TEXT
-                else f"Link: {str(message.message)}"
-                for message in tool_response
-                if message.type in {ToolInvokeMessage.MessageType.TEXT, ToolInvokeMessage.MessageType.LINK}
-            ]
+                # check if the agent log is already in the list
+                for log in agent_logs:
+                    if log.id == agent_log.id:
+                        # update the log
+                        log.data = agent_log.data
+                        log.status = agent_log.status
+                        log.error = agent_log.error
+                        log.label = agent_log.label
+                        log.metadata = agent_log.metadata
+                        break
+                else:
+                    agent_logs.append(agent_log)
+
+                yield agent_log
+
+        yield RunCompletedEvent(
+            run_result=NodeRunResult(
+                status=WorkflowNodeExecutionStatus.SUCCEEDED,
+                outputs={"text": text, "files": files, "json": json, **variables},
+                metadata={
+                    **agent_execution_metadata,
+                    NodeRunMetadataKey.TOOL_INFO: tool_info,
+                    NodeRunMetadataKey.AGENT_LOG: agent_logs,
+                },
+                inputs=parameters_for_log,
+            )
         )
 
-    def _extract_tool_response_json(self, tool_response: list[ToolInvokeMessage]):
-        return [message.message for message in tool_response if message.type == ToolInvokeMessage.MessageType.JSON]
-
     @classmethod
     def _extract_variable_selector_to_variable_mapping(
         cls,
@@ -295,7 +387,8 @@ class ToolNode(BaseNode[ToolNodeData]):
         for parameter_name in node_data.tool_parameters:
             input = node_data.tool_parameters[parameter_name]
             if input.type == "mixed":
-                selectors = VariableTemplateParser(str(input.value)).extract_variable_selectors()
+                assert isinstance(input.value, str)
+                selectors = VariableTemplateParser(input.value).extract_variable_selectors()
                 for selector in selectors:
                     result[selector.variable] = selector.value_selector
             elif input.type == "variable":
diff --git a/api/core/workflow/workflow_entry.py b/api/core/workflow/workflow_entry.py
index f622d0b2d0..5a7d5373c1 100644
--- a/api/core/workflow/workflow_entry.py
+++ b/api/core/workflow/workflow_entry.py
@@ -2,7 +2,7 @@ import logging
 import time
 import uuid
 from collections.abc import Generator, Mapping, Sequence
-from typing import Any, Optional
+from typing import Any, Optional, cast
 
 from configs import dify_config
 from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
@@ -194,6 +194,105 @@ class WorkflowEntry:
             raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e))
         return node_instance, generator
 
+    @classmethod
+    def run_free_node(
+        cls, node_data: dict, node_id: str, tenant_id: str, user_id: str, user_inputs: dict[str, Any]
+    ) -> tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]:
+        """
+        Run free node
+
+        NOTE: only parameter_extractor/question_classifier are supported
+
+        :param node_data: node data
+        :param user_id: user id
+        :param user_inputs: user inputs
+        :return:
+        """
+        # generate a fake graph
+        node_config = {"id": node_id, "width": 114, "height": 514, "type": "custom", "data": node_data}
+        start_node_config = {
+            "id": "start",
+            "width": 114,
+            "height": 514,
+            "type": "custom",
+            "data": {
+                "type": NodeType.START.value,
+                "title": "Start",
+                "desc": "Start",
+            },
+        }
+        graph_dict = {
+            "nodes": [start_node_config, node_config],
+            "edges": [
+                {
+                    "source": "start",
+                    "target": node_id,
+                    "sourceHandle": "source",
+                    "targetHandle": "target",
+                }
+            ],
+        }
+
+        node_type = NodeType(node_data.get("type", ""))
+        if node_type not in {NodeType.PARAMETER_EXTRACTOR, NodeType.QUESTION_CLASSIFIER}:
+            raise ValueError(f"Node type {node_type} not supported")
+
+        node_cls = NODE_TYPE_CLASSES_MAPPING[node_type]["1"]
+        if not node_cls:
+            raise ValueError(f"Node class not found for node type {node_type}")
+
+        graph = Graph.init(graph_config=graph_dict)
+
+        # init variable pool
+        variable_pool = VariablePool(
+            system_variables={},
+            user_inputs={},
+            environment_variables=[],
+        )
+
+        node_cls = cast(type[BaseNode], node_cls)
+        # init workflow run state
+        node_instance: BaseNode = node_cls(
+            id=str(uuid.uuid4()),
+            config=node_config,
+            graph_init_params=GraphInitParams(
+                tenant_id=tenant_id,
+                app_id="",
+                workflow_type=WorkflowType.WORKFLOW,
+                workflow_id="",
+                graph_config=graph_dict,
+                user_id=user_id,
+                user_from=UserFrom.ACCOUNT,
+                invoke_from=InvokeFrom.DEBUGGER,
+                call_depth=0,
+            ),
+            graph=graph,
+            graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()),
+        )
+
+        try:
+            # variable selector to variable mapping
+            try:
+                variable_mapping = node_cls.extract_variable_selector_to_variable_mapping(
+                    graph_config=graph_dict, config=node_config
+                )
+            except NotImplementedError:
+                variable_mapping = {}
+
+            cls.mapping_user_inputs_to_variable_pool(
+                variable_mapping=variable_mapping,
+                user_inputs=user_inputs,
+                variable_pool=variable_pool,
+                tenant_id=tenant_id,
+            )
+
+            # run node
+            generator = node_instance.run()
+
+            return node_instance, generator
+        except Exception as e:
+            raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e))
+
     @staticmethod
     def handle_special_values(value: Optional[Mapping[str, Any]]) -> Mapping[str, Any] | None:
         result = WorkflowEntry._handle_special_values(value)
diff --git a/api/events/event_handlers/deduct_quota_when_message_created.py b/api/events/event_handlers/deduct_quota_when_message_created.py
index d196a48620..b1b2d2a086 100644
--- a/api/events/event_handlers/deduct_quota_when_message_created.py
+++ b/api/events/event_handlers/deduct_quota_when_message_created.py
@@ -23,6 +23,9 @@ def handle(sender, **kwargs):
 
     system_configuration = provider_configuration.system_configuration
 
+    if not system_configuration.current_quota_type:
+        return
+
     quota_unit = None
     for quota_configuration in system_configuration.quota_configurations:
         if quota_configuration.quota_type == system_configuration.current_quota_type:
diff --git a/api/extensions/ext_commands.py b/api/extensions/ext_commands.py
index ccf0d316ca..3f5ae539c5 100644
--- a/api/extensions/ext_commands.py
+++ b/api/extensions/ext_commands.py
@@ -6,7 +6,11 @@ def init_app(app: DifyApp):
         add_qdrant_doc_id_index,
         convert_to_agent_apps,
         create_tenant,
+        extract_plugins,
+        extract_unique_plugins,
         fix_app_site_missing,
+        install_plugins,
+        migrate_data_for_plugin,
         reset_email,
         reset_encrypt_key_pair,
         reset_password,
@@ -24,6 +28,10 @@ def init_app(app: DifyApp):
         create_tenant,
         upgrade_db,
         fix_app_site_missing,
+        migrate_data_for_plugin,
+        extract_plugins,
+        extract_unique_plugins,
+        install_plugins,
     ]
     for cmd in cmds_to_register:
         app.cli.add_command(cmd)
diff --git a/api/extensions/ext_redis.py b/api/extensions/ext_redis.py
index da41805707..f8679f7e4b 100644
--- a/api/extensions/ext_redis.py
+++ b/api/extensions/ext_redis.py
@@ -54,7 +54,7 @@ def init_app(app: DifyApp):
 
     redis_params: dict[str, Any] = {
         "username": dify_config.REDIS_USERNAME,
-        "password": dify_config.REDIS_PASSWORD,
+        "password": dify_config.REDIS_PASSWORD or None,  # Temporary fix for empty password
         "db": dify_config.REDIS_DB,
         "encoding": "utf-8",
         "encoding_errors": "strict",
diff --git a/api/extensions/storage/opendal_storage.py b/api/extensions/storage/opendal_storage.py
index b78fc94dae..98f646f4f9 100644
--- a/api/extensions/storage/opendal_storage.py
+++ b/api/extensions/storage/opendal_storage.py
@@ -34,7 +34,7 @@ class OpenDALStorage(BaseStorage):
             root = kwargs.get("root", "storage")
             Path(root).mkdir(parents=True, exist_ok=True)
 
-        self.op = opendal.Operator(scheme=scheme, **kwargs)
+        self.op = opendal.Operator(scheme=scheme, **kwargs)  # type: ignore
         logger.debug(f"opendal operator created with scheme {scheme}")
         retry_layer = opendal.layers.RetryLayer(max_times=3, factor=2.0, jitter=True)
         self.op = self.op.layer(retry_layer)
diff --git a/api/factories/agent_factory.py b/api/factories/agent_factory.py
new file mode 100644
index 0000000000..4b2d2cc769
--- /dev/null
+++ b/api/factories/agent_factory.py
@@ -0,0 +1,15 @@
+from core.agent.strategy.plugin import PluginAgentStrategy
+from core.plugin.manager.agent import PluginAgentManager
+
+
+def get_plugin_agent_strategy(
+    tenant_id: str, agent_strategy_provider_name: str, agent_strategy_name: str
+) -> PluginAgentStrategy:
+    # TODO: use contexts to cache the agent provider
+    manager = PluginAgentManager()
+    agent_provider = manager.fetch_agent_strategy_provider(tenant_id, agent_strategy_provider_name)
+    for agent_strategy in agent_provider.declaration.strategies:
+        if agent_strategy.identity.name == agent_strategy_name:
+            return PluginAgentStrategy(tenant_id, agent_strategy)
+
+    raise ValueError(f"Agent strategy {agent_strategy_name} not found")
diff --git a/api/factories/file_factory.py b/api/factories/file_factory.py
index c6dc748e93..24d3c8b906 100644
--- a/api/factories/file_factory.py
+++ b/api/factories/file_factory.py
@@ -302,3 +302,7 @@ def _get_file_type_by_mimetype(mime_type: str) -> FileType | None:
     else:
         file_type = FileType.CUSTOM
     return file_type
+
+
+def get_file_type_by_mime_type(mime_type: str) -> FileType:
+    return _get_file_type_by_mimetype(mime_type) or FileType.CUSTOM
diff --git a/api/fields/app_fields.py b/api/fields/app_fields.py
index 73800eab85..eaf684f16a 100644
--- a/api/fields/app_fields.py
+++ b/api/fields/app_fields.py
@@ -149,6 +149,12 @@ site_fields = {
     "updated_at": TimestampField,
 }
 
+deleted_tool_fields = {
+    "type": fields.String,
+    "tool_name": fields.String,
+    "provider_id": fields.String,
+}
+
 app_detail_fields_with_site = {
     "id": fields.String,
     "name": fields.String,
@@ -169,9 +175,10 @@ app_detail_fields_with_site = {
     "created_at": TimestampField,
     "updated_by": fields.String,
     "updated_at": TimestampField,
-    "deleted_tools": fields.List(fields.String),
+    "deleted_tools": fields.List(fields.Nested(deleted_tool_fields)),
 }
 
+
 app_site_fields = {
     "app_id": fields.String,
     "access_token": fields.String(attribute="code"),
@@ -191,6 +198,8 @@ app_site_fields = {
     "use_icon_as_answer_icon": fields.Boolean,
 }
 
+leaked_dependency_fields = {"type": fields.String, "value": fields.Raw, "current_identifier": fields.String}
+
 app_import_fields = {
     "id": fields.String,
     "status": fields.String,
@@ -199,3 +208,7 @@ app_import_fields = {
     "imported_dsl_version": fields.String,
     "error": fields.String,
 }
+
+app_import_check_dependencies_fields = {
+    "leaked_dependencies": fields.List(fields.Nested(leaked_dependency_fields)),
+}
diff --git a/api/fields/hit_testing_fields.py b/api/fields/hit_testing_fields.py
index b9f7e78c17..d9758474f7 100644
--- a/api/fields/hit_testing_fields.py
+++ b/api/fields/hit_testing_fields.py
@@ -14,6 +14,7 @@ segment_fields = {
     "position": fields.Integer,
     "document_id": fields.String,
     "content": fields.String,
+    "sign_content": fields.String,
     "answer": fields.String,
     "word_count": fields.Integer,
     "tokens": fields.Integer,
diff --git a/api/fields/segment_fields.py b/api/fields/segment_fields.py
index 52f89859c9..aaac31cf40 100644
--- a/api/fields/segment_fields.py
+++ b/api/fields/segment_fields.py
@@ -18,6 +18,7 @@ segment_fields = {
     "position": fields.Integer,
     "document_id": fields.String,
     "content": fields.String,
+    "sign_content": fields.String,
     "answer": fields.String,
     "word_count": fields.Integer,
     "tokens": fields.Integer,
diff --git a/api/libs/helper.py b/api/libs/helper.py
index 4f14f010f4..f0325734d8 100644
--- a/api/libs/helper.py
+++ b/api/libs/helper.py
@@ -9,7 +9,7 @@ import uuid
 from collections.abc import Generator, Mapping
 from datetime import datetime
 from hashlib import sha256
-from typing import Any, Optional, Union, cast
+from typing import TYPE_CHECKING, Any, Optional, Union, cast
 from zoneinfo import available_timezones
 
 from flask import Response, stream_with_context
@@ -19,7 +19,9 @@ from configs import dify_config
 from core.app.features.rate_limiting.rate_limit import RateLimitGenerator
 from core.file import helpers as file_helpers
 from extensions.ext_redis import redis_client
-from models.account import Account
+
+if TYPE_CHECKING:
+    from models.account import Account
 
 
 def run(script):
@@ -192,9 +194,7 @@ def generate_text_hash(text: str) -> str:
     return sha256(hash_text.encode()).hexdigest()
 
 
-def compact_generate_response(
-    response: Union[Mapping[str, Any], RateLimitGenerator, Generator[str, None, None]],
-) -> Response:
+def compact_generate_response(response: Union[Mapping, Generator, RateLimitGenerator]) -> Response:
     if isinstance(response, dict):
         return Response(response=json.dumps(response), status=200, mimetype="application/json")
     else:
@@ -210,7 +210,7 @@ class TokenManager:
     def generate_token(
         cls,
         token_type: str,
-        account: Optional[Account] = None,
+        account: Optional["Account"] = None,
         email: Optional[str] = None,
         additional_data: Optional[dict] = None,
     ) -> str:
diff --git a/api/libs/login.py b/api/libs/login.py
index 5395534a6d..b128c53c62 100644
--- a/api/libs/login.py
+++ b/api/libs/login.py
@@ -10,6 +10,7 @@ from werkzeug.local import LocalProxy
 from configs import dify_config
 from extensions.ext_database import db
 from models.account import Account, Tenant, TenantAccountJoin
+from models.model import EndUser
 
 #: A proxy for the current user. If no user is logged in, this will be an
 #: anonymous user
@@ -96,11 +97,11 @@ def login_required(func):
     return decorated_view
 
 
-def _get_user():
+def _get_user() -> EndUser | Account | None:
     if has_request_context():
         if "_login_user" not in g:
             current_app.login_manager._load_user()  # type: ignore
 
-        return g._login_user
+        return g._login_user  # type: ignore
 
     return None
diff --git a/api/migrations/env.py b/api/migrations/env.py
index ad3a122c04..a5d815dcfd 100644
--- a/api/migrations/env.py
+++ b/api/migrations/env.py
@@ -31,19 +31,16 @@ def get_engine_url():
 # from myapp import mymodel
 # target_metadata = mymodel.Base.metadata
 config.set_main_option('sqlalchemy.url', get_engine_url())
-target_db = current_app.extensions['migrate'].db
 
 # other values from the config, defined by the needs of env.py,
 # can be acquired:
 # my_important_option = config.get_main_option("my_important_option")
 # ... etc.
 
+from models.base import Base
 
 def get_metadata():
-    if hasattr(target_db, 'metadatas'):
-        return target_db.metadatas[None]
-    return target_db.metadata
-
+    return Base.metadata
 
 def include_object(object, name, type_, reflected, compare_to):
     if type_ == "foreign_key_constraint":
diff --git a/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py b/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py
new file mode 100644
index 0000000000..71006679e1
--- /dev/null
+++ b/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py
@@ -0,0 +1,39 @@
+"""increase max length of builtin tool provider
+
+Revision ID: ddcc8bbef391
+Revises: d57ba9ebb251
+Create Date: 2024-09-29 08:35:58.062698
+
+"""
+from alembic import op
+import models as models
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = 'ddcc8bbef391'
+down_revision = 'a91b476a53de' # HEAD OF PLUGIN BRANCH
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tool_builtin_providers', schema=None) as batch_op:
+        batch_op.alter_column('provider',
+               existing_type=sa.VARCHAR(length=40),
+               type_=sa.String(length=256),
+               existing_nullable=False)
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tool_builtin_providers', schema=None) as batch_op:
+        batch_op.alter_column('provider',
+               existing_type=sa.String(length=256),
+               type_=sa.VARCHAR(length=40),
+               existing_nullable=False)
+
+    # ### end Alembic commands ###
diff --git a/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py b/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py
new file mode 100644
index 0000000000..51a0b1b211
--- /dev/null
+++ b/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py
@@ -0,0 +1,37 @@
+"""add_tenant_plugin_permisisons
+
+Revision ID: 08ec4f75af5e
+Revises: ddcc8bbef391
+Create Date: 2024-10-28 07:20:39.711124
+
+"""
+from alembic import op
+import models as models
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = '08ec4f75af5e'
+down_revision = 'ddcc8bbef391'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('account_plugin_permissions',
+    sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False),
+    sa.Column('tenant_id', models.types.StringUUID(), nullable=False),
+    sa.Column('install_permission', sa.String(length=16), server_default='everyone', nullable=False),
+    sa.Column('debug_permission', sa.String(length=16), server_default='noone', nullable=False),
+    sa.PrimaryKeyConstraint('id', name='account_plugin_permission_pkey'),
+    sa.UniqueConstraint('tenant_id', name='unique_tenant_plugin')
+    )
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table('account_plugin_permissions')
+    # ### end Alembic commands ###
diff --git a/api/models/__init__.py b/api/models/__init__.py
index b0b9880ca4..1237c55a30 100644
--- a/api/models/__init__.py
+++ b/api/models/__init__.py
@@ -73,7 +73,6 @@ from .task import CeleryTask, CeleryTaskSet
 from .tools import (
     ApiToolProvider,
     BuiltinToolProvider,
-    PublishedAppTool,
     ToolConversationVariables,
     ToolFile,
     ToolLabelBinding,
@@ -150,7 +149,6 @@ __all__ = [
     "ProviderOrder",
     "ProviderQuotaType",
     "ProviderType",
-    "PublishedAppTool",
     "RecommendedApp",
     "SavedMessage",
     "Site",
diff --git a/api/models/account.py b/api/models/account.py
index 35a28df750..bac1ec1c2e 100644
--- a/api/models/account.py
+++ b/api/models/account.py
@@ -5,6 +5,8 @@ from flask_login import UserMixin  # type: ignore
 from sqlalchemy import func
 from sqlalchemy.orm import Mapped, mapped_column
 
+from models.base import Base
+
 from .engine import db
 from .types import StringUUID
 
@@ -17,7 +19,7 @@ class AccountStatus(enum.StrEnum):
     CLOSED = "closed"
 
 
-class Account(UserMixin, db.Model):  # type: ignore[name-defined]
+class Account(UserMixin, Base):
     __tablename__ = "accounts"
     __table_args__ = (db.PrimaryKeyConstraint("id", name="account_pkey"), db.Index("account_email_idx", "email"))
 
@@ -54,8 +56,8 @@ class Account(UserMixin, db.Model):  # type: ignore[name-defined]
         if ta:
             tenant.current_role = ta.role
         else:
-            # FIXME: fix the type error later, because the type is important maybe cause some bugs
             tenant = None  # type: ignore
+
         self._current_tenant = tenant
 
     @property
@@ -78,7 +80,7 @@ class Account(UserMixin, db.Model):  # type: ignore[name-defined]
                 tenant.current_role = ta.role
             else:
                 tenant = None
-        except:
+        except Exception:
             tenant = None
 
         self._current_tenant = tenant
@@ -102,6 +104,7 @@ class Account(UserMixin, db.Model):  # type: ignore[name-defined]
             return db.session.query(Account).filter(Account.id == account_integrate.account_id).one_or_none()
         return None
 
+    # check current_user.current_tenant.current_role in ['admin', 'owner']
     @property
     def is_admin_or_owner(self):
         return TenantAccountRole.is_privileged_role(self._current_tenant.current_role)
@@ -137,6 +140,8 @@ class TenantAccountRole(enum.StrEnum):
 
     @staticmethod
     def is_valid_role(role: str) -> bool:
+        if not role:
+            return False
         return role in {
             TenantAccountRole.OWNER,
             TenantAccountRole.ADMIN,
@@ -147,14 +152,20 @@ class TenantAccountRole(enum.StrEnum):
 
     @staticmethod
     def is_privileged_role(role: str) -> bool:
+        if not role:
+            return False
         return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN}
 
     @staticmethod
     def is_admin_role(role: str) -> bool:
+        if not role:
+            return False
         return role == TenantAccountRole.ADMIN
 
     @staticmethod
     def is_non_owner_role(role: str) -> bool:
+        if not role:
+            return False
         return role in {
             TenantAccountRole.ADMIN,
             TenantAccountRole.EDITOR,
@@ -164,10 +175,14 @@ class TenantAccountRole(enum.StrEnum):
 
     @staticmethod
     def is_editing_role(role: str) -> bool:
+        if not role:
+            return False
         return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN, TenantAccountRole.EDITOR}
 
     @staticmethod
     def is_dataset_edit_role(role: str) -> bool:
+        if not role:
+            return False
         return role in {
             TenantAccountRole.OWNER,
             TenantAccountRole.ADMIN,
@@ -264,4 +279,29 @@ class InvitationCode(db.Model):  # type: ignore[name-defined]
     used_by_tenant_id = db.Column(StringUUID)
     used_by_account_id = db.Column(StringUUID)
     deprecated_at = db.Column(db.DateTime)
-    created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)"))
+
+
+class TenantPluginPermission(Base):
+    class InstallPermission(enum.StrEnum):
+        EVERYONE = "everyone"
+        ADMINS = "admins"
+        NOBODY = "noone"
+
+    class DebugPermission(enum.StrEnum):
+        EVERYONE = "everyone"
+        ADMINS = "admins"
+        NOBODY = "noone"
+
+    __tablename__ = "account_plugin_permissions"
+    __table_args__ = (
+        db.PrimaryKeyConstraint("id", name="account_plugin_permission_pkey"),
+        db.UniqueConstraint("tenant_id", name="unique_tenant_plugin"),
+    )
+
+    id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
+    tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
+    install_permission: Mapped[InstallPermission] = mapped_column(
+        db.String(16), nullable=False, server_default="everyone"
+    )
+    debug_permission: Mapped[DebugPermission] = mapped_column(db.String(16), nullable=False, server_default="noone")
diff --git a/api/models/base.py b/api/models/base.py
new file mode 100644
index 0000000000..da9509301a
--- /dev/null
+++ b/api/models/base.py
@@ -0,0 +1,5 @@
+from sqlalchemy.orm import declarative_base
+
+from models.engine import metadata
+
+Base = declarative_base(metadata=metadata)
diff --git a/api/models/dataset.py b/api/models/dataset.py
index 1cf3dc42fe..2e7fd6b41f 100644
--- a/api/models/dataset.py
+++ b/api/models/dataset.py
@@ -584,6 +584,10 @@ class DocumentSegment(db.Model):  # type: ignore[name-defined]
         else:
             return []
 
+    @property
+    def sign_content(self):
+        return self.get_sign_content()
+
     def get_sign_content(self):
         signed_urls = []
         text = self.content
diff --git a/api/models/model.py b/api/models/model.py
index 2780b79c98..aaed9ded77 100644
--- a/api/models/model.py
+++ b/api/models/model.py
@@ -3,20 +3,31 @@ import re
 import uuid
 from collections.abc import Mapping
 from datetime import datetime
-from enum import Enum, StrEnum
-from typing import TYPE_CHECKING, Any, Literal, Optional, cast
+from enum import Enum
+from typing import TYPE_CHECKING, Optional
+
+from core.plugin.entities.plugin import GenericProviderID
+from core.tools.entities.tool_entities import ToolProviderType
+from services.plugin.plugin_service import PluginService
+
+if TYPE_CHECKING:
+    from models.workflow import Workflow
+
+from enum import StrEnum
+from typing import TYPE_CHECKING, Any, Literal, cast
 
 import sqlalchemy as sa
 from flask import request
 from flask_login import UserMixin  # type: ignore
-from sqlalchemy import Float, func, text
-from sqlalchemy.orm import Mapped, mapped_column
+from sqlalchemy import Float, Index, PrimaryKeyConstraint, func, text
+from sqlalchemy.orm import Mapped, Session, mapped_column
 
 from configs import dify_config
 from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod, FileType
 from core.file import helpers as file_helpers
 from core.file.tool_file_parser import ToolFileParser
 from libs.helper import generate_string
+from models.base import Base
 from models.enums import CreatedByRole
 from models.workflow import WorkflowRunStatus
 
@@ -28,7 +39,7 @@ if TYPE_CHECKING:
     from .workflow import Workflow
 
 
-class DifySetup(db.Model):  # type: ignore[name-defined]
+class DifySetup(Base):
     __tablename__ = "dify_setups"
     __table_args__ = (db.PrimaryKeyConstraint("version", name="dify_setup_pkey"),)
 
@@ -63,7 +74,7 @@ class IconType(Enum):
     EMOJI = "emoji"
 
 
-class App(db.Model):  # type: ignore[name-defined]
+class App(Base):
     __tablename__ = "apps"
     __table_args__ = (db.PrimaryKeyConstraint("id", name="app_pkey"), db.Index("app_tenant_id_idx", "tenant_id"))
 
@@ -141,7 +152,8 @@ class App(db.Model):  # type: ignore[name-defined]
             return False
         if not app_model_config.agent_mode:
             return False
-        if self.app_model_config.agent_mode_dict.get("enabled", False) and self.app_model_config.agent_mode_dict.get(
+
+        if app_model_config.agent_mode_dict.get("enabled", False) and app_model_config.agent_mode_dict.get(
             "strategy", ""
         ) in {"function_call", "react"}:
             self.mode = AppMode.AGENT_CHAT.value
@@ -158,47 +170,113 @@ class App(db.Model):  # type: ignore[name-defined]
 
     @property
     def deleted_tools(self) -> list:
+        from core.tools.tool_manager import ToolManager
+
         # get agent mode tools
         app_model_config = self.app_model_config
         if not app_model_config:
             return []
+
         if not app_model_config.agent_mode:
             return []
+
         agent_mode = app_model_config.agent_mode_dict
         tools = agent_mode.get("tools", [])
 
-        provider_ids = []
+        api_provider_ids: list[str] = []
+        builtin_provider_ids: list[GenericProviderID] = []
 
         for tool in tools:
             keys = list(tool.keys())
             if len(keys) >= 4:
                 provider_type = tool.get("provider_type", "")
                 provider_id = tool.get("provider_id", "")
-                if provider_type == "api":
-                    # check if provider id is a uuid string, if not, skip
+                if provider_type == ToolProviderType.API.value:
                     try:
                         uuid.UUID(provider_id)
                     except Exception:
                         continue
-                    provider_ids.append(provider_id)
+                    api_provider_ids.append(provider_id)
+                if provider_type == ToolProviderType.BUILT_IN.value:
+                    try:
+                        # check if it's hardcoded
+                        try:
+                            ToolManager.get_hardcoded_provider(provider_id)
+                            is_hardcoded = True
+                        except Exception:
+                            is_hardcoded = False
 
-        if not provider_ids:
+                        provider_id = GenericProviderID(provider_id, is_hardcoded)
+                    except Exception:
+                        continue
+
+                    builtin_provider_ids.append(provider_id)
+
+        if not api_provider_ids and not builtin_provider_ids:
             return []
 
-        api_providers = db.session.execute(
-            text("SELECT id FROM tool_api_providers WHERE id IN :provider_ids"), {"provider_ids": tuple(provider_ids)}
-        ).fetchall()
+        with Session(db.engine) as session:
+            if api_provider_ids:
+                existing_api_providers = [
+                    api_provider.id
+                    for api_provider in session.execute(
+                        text("SELECT id FROM tool_api_providers WHERE id IN :provider_ids"),
+                        {"provider_ids": tuple(api_provider_ids)},
+                    ).fetchall()
+                ]
+            else:
+                existing_api_providers = []
+
+        if builtin_provider_ids:
+            # get the non-hardcoded builtin providers
+            non_hardcoded_builtin_providers = [
+                provider_id for provider_id in builtin_provider_ids if not provider_id.is_hardcoded
+            ]
+            if non_hardcoded_builtin_providers:
+                existence = list(PluginService.check_tools_existence(self.tenant_id, non_hardcoded_builtin_providers))
+            else:
+                existence = []
+            # add the hardcoded builtin providers
+            existence.extend([True] * (len(builtin_provider_ids) - len(non_hardcoded_builtin_providers)))
+            builtin_provider_ids = non_hardcoded_builtin_providers + [
+                provider_id for provider_id in builtin_provider_ids if provider_id.is_hardcoded
+            ]
+        else:
+            existence = []
+
+        existing_builtin_providers = {
+            provider_id.provider_name: existence[i] for i, provider_id in enumerate(builtin_provider_ids)
+        }
 
         deleted_tools = []
-        current_api_provider_ids = [str(api_provider.id) for api_provider in api_providers]
 
         for tool in tools:
             keys = list(tool.keys())
             if len(keys) >= 4:
                 provider_type = tool.get("provider_type", "")
                 provider_id = tool.get("provider_id", "")
-                if provider_type == "api" and provider_id not in current_api_provider_ids:
-                    deleted_tools.append(tool["tool_name"])
+
+                if provider_type == ToolProviderType.API.value:
+                    if provider_id not in existing_api_providers:
+                        deleted_tools.append(
+                            {
+                                "type": ToolProviderType.API.value,
+                                "tool_name": tool["tool_name"],
+                                "provider_id": provider_id,
+                            }
+                        )
+
+                if provider_type == ToolProviderType.BUILT_IN.value:
+                    generic_provider_id = GenericProviderID(provider_id)
+
+                    if not existing_builtin_providers[generic_provider_id.provider_name]:
+                        deleted_tools.append(
+                            {
+                                "type": ToolProviderType.BUILT_IN.value,
+                                "tool_name": tool["tool_name"],
+                                "provider_id": provider_id,  # use the original one
+                            }
+                        )
 
         return deleted_tools
 
@@ -219,7 +297,7 @@ class App(db.Model):  # type: ignore[name-defined]
         return tags or []
 
 
-class AppModelConfig(db.Model):  # type: ignore[name-defined]
+class AppModelConfig(Base):
     __tablename__ = "app_model_configs"
     __table_args__ = (db.PrimaryKeyConstraint("id", name="app_model_config_pkey"), db.Index("app_app_id_idx", "app_id"))
 
@@ -292,6 +370,9 @@ class AppModelConfig(db.Model):  # type: ignore[name-defined]
         )
         if annotation_setting:
             collection_binding_detail = annotation_setting.collection_binding_detail
+            if not collection_binding_detail:
+                raise ValueError("Collection binding detail not found")
+
             return {
                 "id": annotation_setting.id,
                 "enabled": True,
@@ -322,7 +403,7 @@ class AppModelConfig(db.Model):  # type: ignore[name-defined]
         return json.loads(self.external_data_tools) if self.external_data_tools else []
 
     @property
-    def user_input_form_list(self) -> list[dict]:
+    def user_input_form_list(self):
         return json.loads(self.user_input_form) if self.user_input_form else []
 
     @property
@@ -466,7 +547,7 @@ class AppModelConfig(db.Model):  # type: ignore[name-defined]
         return new_app_model_config
 
 
-class RecommendedApp(db.Model):  # type: ignore[name-defined]
+class RecommendedApp(Base):
     __tablename__ = "recommended_apps"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="recommended_app_pkey"),
@@ -494,7 +575,7 @@ class RecommendedApp(db.Model):  # type: ignore[name-defined]
         return app
 
 
-class InstalledApp(db.Model):  # type: ignore[name-defined]
+class InstalledApp(Base):
     __tablename__ = "installed_apps"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="installed_app_pkey"),
@@ -523,7 +604,7 @@ class InstalledApp(db.Model):  # type: ignore[name-defined]
         return tenant
 
 
-class Conversation(db.Model):  # type: ignore[name-defined]
+class Conversation(Base):
     __tablename__ = "conversations"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="conversation_pkey"),
@@ -758,16 +839,16 @@ class Conversation(db.Model):  # type: ignore[name-defined]
         return self.override_model_configs is not None
 
 
-class Message(db.Model):  # type: ignore[name-defined]
+class Message(Base):
     __tablename__ = "messages"
     __table_args__ = (
-        db.PrimaryKeyConstraint("id", name="message_pkey"),
-        db.Index("message_app_id_idx", "app_id", "created_at"),
-        db.Index("message_conversation_id_idx", "conversation_id"),
-        db.Index("message_end_user_idx", "app_id", "from_source", "from_end_user_id"),
-        db.Index("message_account_idx", "app_id", "from_source", "from_account_id"),
-        db.Index("message_workflow_run_id_idx", "conversation_id", "workflow_run_id"),
-        db.Index("message_created_at_idx", "created_at"),
+        PrimaryKeyConstraint("id", name="message_pkey"),
+        Index("message_app_id_idx", "app_id", "created_at"),
+        Index("message_conversation_id_idx", "conversation_id"),
+        Index("message_end_user_idx", "app_id", "from_source", "from_end_user_id"),
+        Index("message_account_idx", "app_id", "from_source", "from_account_id"),
+        Index("message_workflow_run_id_idx", "conversation_id", "workflow_run_id"),
+        Index("message_created_at_idx", "created_at"),
     )
 
     id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
@@ -1109,7 +1190,7 @@ class Message(db.Model):  # type: ignore[name-defined]
         )
 
 
-class MessageFeedback(db.Model):  # type: ignore[name-defined]
+class MessageFeedback(Base):
     __tablename__ = "message_feedbacks"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="message_feedback_pkey"),
@@ -1136,7 +1217,7 @@ class MessageFeedback(db.Model):  # type: ignore[name-defined]
         return account
 
 
-class MessageFile(db.Model):  # type: ignore[name-defined]
+class MessageFile(Base):
     __tablename__ = "message_files"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="message_file_pkey"),
@@ -1177,7 +1258,7 @@ class MessageFile(db.Model):  # type: ignore[name-defined]
     created_at: Mapped[datetime] = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class MessageAnnotation(db.Model):  # type: ignore[name-defined]
+class MessageAnnotation(Base):
     __tablename__ = "message_annotations"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="message_annotation_pkey"),
@@ -1208,7 +1289,7 @@ class MessageAnnotation(db.Model):  # type: ignore[name-defined]
         return account
 
 
-class AppAnnotationHitHistory(db.Model):  # type: ignore[name-defined]
+class AppAnnotationHitHistory(Base):
     __tablename__ = "app_annotation_hit_histories"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="app_annotation_hit_histories_pkey"),
@@ -1246,7 +1327,7 @@ class AppAnnotationHitHistory(db.Model):  # type: ignore[name-defined]
         return account
 
 
-class AppAnnotationSetting(db.Model):  # type: ignore[name-defined]
+class AppAnnotationSetting(Base):
     __tablename__ = "app_annotation_settings"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="app_annotation_settings_pkey"),
@@ -1294,7 +1375,7 @@ class AppAnnotationSetting(db.Model):  # type: ignore[name-defined]
         return collection_binding_detail
 
 
-class OperationLog(db.Model):  # type: ignore[name-defined]
+class OperationLog(Base):
     __tablename__ = "operation_logs"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="operation_log_pkey"),
@@ -1311,7 +1392,7 @@ class OperationLog(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class EndUser(UserMixin, db.Model):  # type: ignore[name-defined]
+class EndUser(Base, UserMixin):
     __tablename__ = "end_users"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="end_user_pkey"),
@@ -1331,7 +1412,7 @@ class EndUser(UserMixin, db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class Site(db.Model):  # type: ignore[name-defined]
+class Site(Base):
     __tablename__ = "sites"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="site_pkey"),
@@ -1388,7 +1469,7 @@ class Site(db.Model):  # type: ignore[name-defined]
         return dify_config.APP_WEB_URL or request.url_root.rstrip("/")
 
 
-class ApiToken(db.Model):  # type: ignore[name-defined]
+class ApiToken(Base):
     __tablename__ = "api_tokens"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="api_token_pkey"),
@@ -1414,7 +1495,7 @@ class ApiToken(db.Model):  # type: ignore[name-defined]
             return result
 
 
-class UploadFile(db.Model):  # type: ignore[name-defined]
+class UploadFile(Base):
     __tablename__ = "upload_files"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="upload_file_pkey"),
@@ -1476,7 +1557,7 @@ class UploadFile(db.Model):  # type: ignore[name-defined]
         self.source_url = source_url
 
 
-class ApiRequest(db.Model):  # type: ignore[name-defined]
+class ApiRequest(Base):
     __tablename__ = "api_requests"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="api_request_pkey"),
@@ -1493,7 +1574,7 @@ class ApiRequest(db.Model):  # type: ignore[name-defined]
     created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class MessageChain(db.Model):  # type: ignore[name-defined]
+class MessageChain(Base):
     __tablename__ = "message_chains"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="message_chain_pkey"),
@@ -1508,7 +1589,7 @@ class MessageChain(db.Model):  # type: ignore[name-defined]
     created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp())
 
 
-class MessageAgentThought(db.Model):  # type: ignore[name-defined]
+class MessageAgentThought(Base):
     __tablename__ = "message_agent_thoughts"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="message_agent_thought_pkey"),
@@ -1563,7 +1644,7 @@ class MessageAgentThought(db.Model):  # type: ignore[name-defined]
                 return cast(dict, json.loads(self.tool_labels_str))
             else:
                 return {}
-        except Exception as e:
+        except Exception:
             return {}
 
     @property
@@ -1573,7 +1654,7 @@ class MessageAgentThought(db.Model):  # type: ignore[name-defined]
                 return cast(dict, json.loads(self.tool_meta_str))
             else:
                 return {}
-        except Exception as e:
+        except Exception:
             return {}
 
     @property
@@ -1594,11 +1675,11 @@ class MessageAgentThought(db.Model):  # type: ignore[name-defined]
                 return result
             else:
                 return {tool: {} for tool in tools}
-        except Exception as e:
+        except Exception:
             return {}
 
     @property
-    def tool_outputs_dict(self) -> dict:
+    def tool_outputs_dict(self):
         tools = self.tools
         try:
             if self.observation:
@@ -1615,14 +1696,14 @@ class MessageAgentThought(db.Model):  # type: ignore[name-defined]
                 return result
             else:
                 return {tool: {} for tool in tools}
-        except Exception as e:
+        except Exception:
             if self.observation:
                 return dict.fromkeys(tools, self.observation)
             else:
                 return {}
 
 
-class DatasetRetrieverResource(db.Model):  # type: ignore[name-defined]
+class DatasetRetrieverResource(Base):
     __tablename__ = "dataset_retriever_resources"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="dataset_retriever_resource_pkey"),
@@ -1649,7 +1730,7 @@ class DatasetRetrieverResource(db.Model):  # type: ignore[name-defined]
     created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp())
 
 
-class Tag(db.Model):  # type: ignore[name-defined]
+class Tag(Base):
     __tablename__ = "tags"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tag_pkey"),
@@ -1667,7 +1748,7 @@ class Tag(db.Model):  # type: ignore[name-defined]
     created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class TagBinding(db.Model):  # type: ignore[name-defined]
+class TagBinding(Base):
     __tablename__ = "tag_bindings"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tag_binding_pkey"),
@@ -1683,7 +1764,7 @@ class TagBinding(db.Model):  # type: ignore[name-defined]
     created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class TraceAppConfig(db.Model):  # type: ignore[name-defined]
+class TraceAppConfig(Base):
     __tablename__ = "trace_app_config"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tracing_app_config_pkey"),
diff --git a/api/models/provider.py b/api/models/provider.py
index abe673975c..567400702d 100644
--- a/api/models/provider.py
+++ b/api/models/provider.py
@@ -2,6 +2,8 @@ from enum import Enum
 
 from sqlalchemy import func
 
+from models.base import Base
+
 from .engine import db
 from .types import StringUUID
 
@@ -36,7 +38,7 @@ class ProviderQuotaType(Enum):
         raise ValueError(f"No matching enum found for value '{value}'")
 
 
-class Provider(db.Model):  # type: ignore[name-defined]
+class Provider(Base):
     """
     Provider model representing the API providers and their configurations.
     """
@@ -89,7 +91,7 @@ class Provider(db.Model):  # type: ignore[name-defined]
             return self.is_valid and self.token_is_set
 
 
-class ProviderModel(db.Model):  # type: ignore[name-defined]
+class ProviderModel(Base):
     """
     Provider model representing the API provider_models and their configurations.
     """
@@ -114,7 +116,7 @@ class ProviderModel(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class TenantDefaultModel(db.Model):  # type: ignore[name-defined]
+class TenantDefaultModel(Base):
     __tablename__ = "tenant_default_models"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tenant_default_model_pkey"),
@@ -130,7 +132,7 @@ class TenantDefaultModel(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class TenantPreferredModelProvider(db.Model):  # type: ignore[name-defined]
+class TenantPreferredModelProvider(Base):
     __tablename__ = "tenant_preferred_model_providers"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tenant_preferred_model_provider_pkey"),
@@ -145,7 +147,7 @@ class TenantPreferredModelProvider(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class ProviderOrder(db.Model):  # type: ignore[name-defined]
+class ProviderOrder(Base):
     __tablename__ = "provider_orders"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="provider_order_pkey"),
@@ -170,7 +172,7 @@ class ProviderOrder(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class ProviderModelSetting(db.Model):  # type: ignore[name-defined]
+class ProviderModelSetting(Base):
     """
     Provider model settings for record the model enabled status and load balancing status.
     """
@@ -192,7 +194,7 @@ class ProviderModelSetting(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class LoadBalancingModelConfig(db.Model):  # type: ignore[name-defined]
+class LoadBalancingModelConfig(Base):
     """
     Configurations for load balancing models.
     """
diff --git a/api/models/source.py b/api/models/source.py
index 881cfaac7d..b9d7d91346 100644
--- a/api/models/source.py
+++ b/api/models/source.py
@@ -3,6 +3,8 @@ import json
 from sqlalchemy import func
 from sqlalchemy.dialects.postgresql import JSONB
 
+from models.base import Base
+
 from .engine import db
 from .types import StringUUID
 
@@ -25,7 +27,7 @@ class DataSourceOauthBinding(db.Model):  # type: ignore[name-defined]
     disabled = db.Column(db.Boolean, nullable=True, server_default=db.text("false"))
 
 
-class DataSourceApiKeyAuthBinding(db.Model):  # type: ignore[name-defined]
+class DataSourceApiKeyAuthBinding(Base):
     __tablename__ = "data_source_api_key_auth_bindings"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="data_source_api_key_auth_binding_pkey"),
diff --git a/api/models/task.py b/api/models/task.py
index 0db1c63229..d853c1dd9a 100644
--- a/api/models/task.py
+++ b/api/models/task.py
@@ -2,10 +2,12 @@ from datetime import UTC, datetime
 
 from celery import states  # type: ignore
 
+from models.base import Base
+
 from .engine import db
 
 
-class CeleryTask(db.Model):  # type: ignore[name-defined]
+class CeleryTask(Base):
     """Task result/status."""
 
     __tablename__ = "celery_taskmeta"
@@ -29,7 +31,7 @@ class CeleryTask(db.Model):  # type: ignore[name-defined]
     queue = db.Column(db.String(155), nullable=True)
 
 
-class CeleryTaskSet(db.Model):  # type: ignore[name-defined]
+class CeleryTaskSet(Base):
     """TaskSet result."""
 
     __tablename__ = "celery_tasksetmeta"
diff --git a/api/models/tools.py b/api/models/tools.py
index 13a112ee83..b1e321ed85 100644
--- a/api/models/tools.py
+++ b/api/models/tools.py
@@ -1,20 +1,23 @@
 import json
-from typing import Any, Optional
+from datetime import datetime
+from typing import Any, Optional, cast
 
 import sqlalchemy as sa
+from deprecated import deprecated
 from sqlalchemy import ForeignKey, func
 from sqlalchemy.orm import Mapped, mapped_column
 
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_bundle import ApiToolBundle
 from core.tools.entities.tool_entities import ApiProviderSchemaType, WorkflowToolParameterConfiguration
+from models.base import Base
 
 from .engine import db
 from .model import Account, App, Tenant
 from .types import StringUUID
 
 
-class BuiltinToolProvider(db.Model):  # type: ignore[name-defined]
+class BuiltinToolProvider(Base):
     """
     This table stores the tool provider information for built-in tools for each tenant.
     """
@@ -27,66 +30,28 @@ class BuiltinToolProvider(db.Model):  # type: ignore[name-defined]
     )
 
     # id of the tool provider
-    id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
+    id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
     # id of the tenant
-    tenant_id = db.Column(StringUUID, nullable=True)
+    tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=True)
     # who created this tool provider
-    user_id = db.Column(StringUUID, nullable=False)
+    user_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
     # name of the tool provider
-    provider = db.Column(db.String(40), nullable=False)
+    provider: Mapped[str] = mapped_column(db.String(256), nullable=False)
     # credential of the tool provider
-    encrypted_credentials = db.Column(db.Text, nullable=True)
-    created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
-    updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    encrypted_credentials: Mapped[str] = mapped_column(db.Text, nullable=True)
+    created_at: Mapped[datetime] = mapped_column(
+        db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")
+    )
 
     @property
     def credentials(self) -> dict:
-        return dict(json.loads(self.encrypted_credentials))
+        return cast(dict, json.loads(self.encrypted_credentials))
 
 
-class PublishedAppTool(db.Model):  # type: ignore[name-defined]
-    """
-    The table stores the apps published as a tool for each person.
-    """
-
-    __tablename__ = "tool_published_apps"
-    __table_args__ = (
-        db.PrimaryKeyConstraint("id", name="published_app_tool_pkey"),
-        db.UniqueConstraint("app_id", "user_id", name="unique_published_app_tool"),
-    )
-
-    # id of the tool provider
-    id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
-    # id of the app
-    app_id = db.Column(StringUUID, ForeignKey("apps.id"), nullable=False)
-    # who published this tool
-    user_id = db.Column(StringUUID, nullable=False)
-    # description of the tool, stored in i18n format, for human
-    description = db.Column(db.Text, nullable=False)
-    # llm_description of the tool, for LLM
-    llm_description = db.Column(db.Text, nullable=False)
-    # query description, query will be seem as a parameter of the tool,
-    # to describe this parameter to llm, we need this field
-    query_description = db.Column(db.Text, nullable=False)
-    # query name, the name of the query parameter
-    query_name = db.Column(db.String(40), nullable=False)
-    # name of the tool provider
-    tool_name = db.Column(db.String(40), nullable=False)
-    # author
-    author = db.Column(db.String(40), nullable=False)
-    created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
-    updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
-
-    @property
-    def description_i18n(self) -> I18nObject:
-        return I18nObject(**json.loads(self.description))
-
-    @property
-    def app(self):
-        return db.session.query(App).filter(App.id == self.app_id).first()
-
-
-class ApiToolProvider(db.Model):  # type: ignore[name-defined]
+class ApiToolProvider(Base):
     """
     The table stores the api providers.
     """
@@ -120,8 +85,8 @@ class ApiToolProvider(db.Model):  # type: ignore[name-defined]
     # custom_disclaimer
     custom_disclaimer: Mapped[str] = mapped_column(sa.TEXT, default="")
 
-    created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
-    updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
     @property
     def schema_type(self) -> ApiProviderSchemaType:
@@ -144,7 +109,7 @@ class ApiToolProvider(db.Model):  # type: ignore[name-defined]
         return db.session.query(Tenant).filter(Tenant.id == self.tenant_id).first()
 
 
-class ToolLabelBinding(db.Model):  # type: ignore[name-defined]
+class ToolLabelBinding(Base):
     """
     The table stores the labels for tools.
     """
@@ -155,16 +120,16 @@ class ToolLabelBinding(db.Model):  # type: ignore[name-defined]
         db.UniqueConstraint("tool_id", "label_name", name="unique_tool_label_bind"),
     )
 
-    id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
+    id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
     # tool id
-    tool_id = db.Column(db.String(64), nullable=False)
+    tool_id: Mapped[str] = mapped_column(db.String(64), nullable=False)
     # tool type
-    tool_type = db.Column(db.String(40), nullable=False)
+    tool_type: Mapped[str] = mapped_column(db.String(40), nullable=False)
     # label name
-    label_name = db.Column(db.String(40), nullable=False)
+    label_name: Mapped[str] = mapped_column(db.String(40), nullable=False)
 
 
-class WorkflowToolProvider(db.Model):  # type: ignore[name-defined]
+class WorkflowToolProvider(Base):
     """
     The table stores the workflow providers.
     """
@@ -176,30 +141,38 @@ class WorkflowToolProvider(db.Model):  # type: ignore[name-defined]
         db.UniqueConstraint("tenant_id", "app_id", name="unique_workflow_tool_provider_app_id"),
     )
 
-    id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
+    id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
     # name of the workflow provider
-    name = db.Column(db.String(40), nullable=False)
+    name: Mapped[str] = mapped_column(db.String(40), nullable=False)
     # label of the workflow provider
-    label = db.Column(db.String(255), nullable=False, server_default="")
+    label: Mapped[str] = mapped_column(db.String(255), nullable=False, server_default="")
     # icon
-    icon = db.Column(db.String(255), nullable=False)
+    icon: Mapped[str] = mapped_column(db.String(255), nullable=False)
     # app id of the workflow provider
-    app_id = db.Column(StringUUID, nullable=False)
+    app_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
     # version of the workflow provider
-    version = db.Column(db.String(255), nullable=False, server_default="")
+    version: Mapped[str] = mapped_column(db.String(255), nullable=False, server_default="")
     # who created this tool
-    user_id = db.Column(StringUUID, nullable=False)
+    user_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
     # tenant id
-    tenant_id = db.Column(StringUUID, nullable=False)
+    tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
     # description of the provider
-    description = db.Column(db.Text, nullable=False)
+    description: Mapped[str] = mapped_column(db.Text, nullable=False)
     # parameter configuration
-    parameter_configuration = db.Column(db.Text, nullable=False, server_default="[]")
+    parameter_configuration: Mapped[str] = mapped_column(db.Text, nullable=False, server_default="[]")
     # privacy policy
-    privacy_policy = db.Column(db.String(255), nullable=True, server_default="")
+    privacy_policy: Mapped[str] = mapped_column(db.String(255), nullable=True, server_default="")
 
-    created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
-    updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    created_at: Mapped[datetime] = mapped_column(
+        db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")
+    )
+
+    @property
+    def schema_type(self) -> ApiProviderSchemaType:
+        return ApiProviderSchemaType.value_of(self.schema_type_str)
 
     @property
     def user(self) -> Account | None:
@@ -218,7 +191,7 @@ class WorkflowToolProvider(db.Model):  # type: ignore[name-defined]
         return db.session.query(App).filter(App.id == self.app_id).first()
 
 
-class ToolModelInvoke(db.Model):  # type: ignore[name-defined]
+class ToolModelInvoke(Base):
     """
     store the invoke logs from tool invoke
     """
@@ -255,7 +228,8 @@ class ToolModelInvoke(db.Model):  # type: ignore[name-defined]
     updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp())
 
 
-class ToolConversationVariables(db.Model):  # type: ignore[name-defined]
+@deprecated
+class ToolConversationVariables(Base):
     """
     store the conversation variables from tool invoke
     """
@@ -286,13 +260,70 @@ class ToolConversationVariables(db.Model):  # type: ignore[name-defined]
         return json.loads(self.variables_str)
 
 
-class ToolFile(db.Model):  # type: ignore[name-defined]
+class ToolFile(Base):
+    """
+    store the file created by agent
+    """
+
     __tablename__ = "tool_files"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="tool_file_pkey"),
         db.Index("tool_file_conversation_id_idx", "conversation_id"),
     )
 
+    id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()"))
+    # conversation user id
+    user_id: Mapped[str] = mapped_column(StringUUID)
+    # tenant id
+    tenant_id: Mapped[str] = mapped_column(StringUUID)
+    # conversation id
+    conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=True)
+    # file key
+    file_key: Mapped[str] = mapped_column(db.String(255), nullable=False)
+    # mime type
+    mimetype: Mapped[str] = mapped_column(db.String(255), nullable=False)
+    # original url
+    original_url: Mapped[str] = mapped_column(db.String(2048), nullable=True)
+    # name
+    name: Mapped[str] = mapped_column(default="")
+    # size
+    size: Mapped[int] = mapped_column(default=-1)
+
+
+@deprecated
+class DeprecatedPublishedAppTool(Base):
+    """
+    The table stores the apps published as a tool for each person.
+    """
+
+    __tablename__ = "tool_published_apps"
+    __table_args__ = (
+        db.PrimaryKeyConstraint("id", name="published_app_tool_pkey"),
+        db.UniqueConstraint("app_id", "user_id", name="unique_published_app_tool"),
+    )
+
+    # id of the app
+    app_id = db.Column(StringUUID, ForeignKey("apps.id"), nullable=False)
+    # who published this tool
+    description = db.Column(db.Text, nullable=False)
+    # llm_description of the tool, for LLM
+    llm_description = db.Column(db.Text, nullable=False)
+    # query description, query will be seem as a parameter of the tool,
+    # to describe this parameter to llm, we need this field
+    query_description = db.Column(db.Text, nullable=False)
+    # query name, the name of the query parameter
+    query_name = db.Column(db.String(40), nullable=False)
+    # name of the tool provider
+    tool_name = db.Column(db.String(40), nullable=False)
+    # author
+    author = db.Column(db.String(40), nullable=False)
+    created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)"))
+    updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)"))
+
+    @property
+    def description_i18n(self) -> I18nObject:
+        return I18nObject(**json.loads(self.description))
+
     id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()"))
     user_id: Mapped[str] = db.Column(StringUUID, nullable=False)
     tenant_id: Mapped[str] = db.Column(StringUUID, nullable=False)
diff --git a/api/models/web.py b/api/models/web.py
index 864428fe09..fe2f0c47f8 100644
--- a/api/models/web.py
+++ b/api/models/web.py
@@ -1,12 +1,14 @@
 from sqlalchemy import func
 from sqlalchemy.orm import Mapped, mapped_column
 
+from models.base import Base
+
 from .engine import db
 from .model import Message
 from .types import StringUUID
 
 
-class SavedMessage(db.Model):  # type: ignore[name-defined]
+class SavedMessage(Base):
     __tablename__ = "saved_messages"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="saved_message_pkey"),
@@ -25,7 +27,7 @@ class SavedMessage(db.Model):  # type: ignore[name-defined]
         return db.session.query(Message).filter(Message.id == self.message_id).first()
 
 
-class PinnedConversation(db.Model):  # type: ignore[name-defined]
+class PinnedConversation(Base):
     __tablename__ = "pinned_conversations"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="pinned_conversation_pkey"),
diff --git a/api/models/workflow.py b/api/models/workflow.py
index e1776ce887..5af2590e50 100644
--- a/api/models/workflow.py
+++ b/api/models/workflow.py
@@ -1,11 +1,16 @@
 import json
 from collections.abc import Mapping, Sequence
 from datetime import UTC, datetime
-from enum import Enum, StrEnum
+from enum import Enum
 from typing import TYPE_CHECKING, Any, Optional, Union
 
+if TYPE_CHECKING:
+    from models.model import AppMode
+from enum import StrEnum
+from typing import TYPE_CHECKING
+
 import sqlalchemy as sa
-from sqlalchemy import func
+from sqlalchemy import Index, PrimaryKeyConstraint, func
 from sqlalchemy.orm import Mapped, mapped_column
 
 import contexts
@@ -14,6 +19,7 @@ from core.helper import encrypter
 from core.variables import SecretVariable, Variable
 from factories import variable_factory
 from libs import helper
+from models.base import Base
 from models.enums import CreatedByRole
 
 from .account import Account
@@ -21,7 +27,7 @@ from .engine import db
 from .types import StringUUID
 
 if TYPE_CHECKING:
-    from models.model import AppMode, Message
+    from models.model import AppMode
 
 
 class WorkflowType(Enum):
@@ -59,7 +65,7 @@ class WorkflowType(Enum):
         return cls.WORKFLOW if app_mode == AppMode.WORKFLOW else cls.CHAT
 
 
-class Workflow(db.Model):  # type: ignore[name-defined]
+class Workflow(Base):
     """
     Workflow, for `Workflow App` and `Chat App workflow mode`.
 
@@ -249,11 +255,13 @@ class Workflow(db.Model):  # type: ignore[name-defined]
         ]
 
         # decrypt secret variables value
-        decrypt_func = (
-            lambda var: var.model_copy(update={"value": encrypter.decrypt_token(tenant_id=tenant_id, token=var.value)})
-            if isinstance(var, SecretVariable)
-            else var
-        )
+        def decrypt_func(var):
+            return (
+                var.model_copy(update={"value": encrypter.decrypt_token(tenant_id=tenant_id, token=var.value)})
+                if isinstance(var, SecretVariable)
+                else var
+            )
+
         results = list(map(decrypt_func, results))
         return results
 
@@ -277,11 +285,13 @@ class Workflow(db.Model):  # type: ignore[name-defined]
                 value[i] = origin_variables_dictionary[variable.id].model_copy(update={"name": variable.name})
 
         # encrypt secret variables value
-        encrypt_func = (
-            lambda var: var.model_copy(update={"value": encrypter.encrypt_token(tenant_id=tenant_id, token=var.value)})
-            if isinstance(var, SecretVariable)
-            else var
-        )
+        def encrypt_func(var):
+            return (
+                var.model_copy(update={"value": encrypter.encrypt_token(tenant_id=tenant_id, token=var.value)})
+                if isinstance(var, SecretVariable)
+                else var
+            )
+
         encrypted_vars = list(map(encrypt_func, value))
         environment_variables_json = json.dumps(
             {var.name: var.model_dump() for var in encrypted_vars},
@@ -347,7 +357,7 @@ class WorkflowRunStatus(StrEnum):
         raise ValueError(f"invalid workflow run status value {value}")
 
 
-class WorkflowRun(db.Model):  # type: ignore[name-defined]
+class WorkflowRun(Base):
     """
     Workflow Run
 
@@ -439,7 +449,7 @@ class WorkflowRun(db.Model):  # type: ignore[name-defined]
         return json.loads(self.outputs) if self.outputs else {}
 
     @property
-    def message(self) -> Optional["Message"]:
+    def message(self):
         from models.model import Message
 
         return (
@@ -549,7 +559,7 @@ class WorkflowNodeExecutionStatus(Enum):
         raise ValueError(f"invalid workflow node execution status value {value}")
 
 
-class WorkflowNodeExecution(db.Model):  # type: ignore[name-defined]
+class WorkflowNodeExecution(Base):
     """
     Workflow Node Execution
 
@@ -715,7 +725,7 @@ class WorkflowAppLogCreatedFrom(Enum):
         raise ValueError(f"invalid workflow app log created from value {value}")
 
 
-class WorkflowAppLog(db.Model):  # type: ignore[name-defined]
+class WorkflowAppLog(Base):
     """
     Workflow App execution log, excluding workflow debugging records.
 
@@ -777,15 +787,20 @@ class WorkflowAppLog(db.Model):  # type: ignore[name-defined]
         return db.session.get(EndUser, self.created_by) if created_by_role == CreatedByRole.END_USER else None
 
 
-class ConversationVariable(db.Model):  # type: ignore[name-defined]
+class ConversationVariable(Base):
     __tablename__ = "workflow_conversation_variables"
+    __table_args__ = (
+        PrimaryKeyConstraint("id", "conversation_id", name="workflow_conversation_variables_pkey"),
+        Index("workflow__conversation_variables_app_id_idx", "app_id"),
+        Index("workflow__conversation_variables_created_at_idx", "created_at"),
+    )
 
-    id: Mapped[str] = db.Column(StringUUID, primary_key=True)
-    conversation_id: Mapped[str] = db.Column(StringUUID, nullable=False, primary_key=True)
-    app_id: Mapped[str] = db.Column(StringUUID, nullable=False, index=True)
-    data = db.Column(db.Text, nullable=False)
-    created_at = db.Column(db.DateTime, nullable=False, index=True, server_default=func.current_timestamp())
-    updated_at = db.Column(
+    id: Mapped[str] = mapped_column(StringUUID, primary_key=True)
+    conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=False, primary_key=True)
+    app_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
+    data = mapped_column(db.Text, nullable=False)
+    created_at = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp())
+    updated_at = mapped_column(
         db.DateTime, nullable=False, server_default=func.current_timestamp(), onupdate=func.current_timestamp()
     )
 
diff --git a/api/poetry.lock b/api/poetry.lock
index 1fdc292b92..f6181c07cb 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -15,102 +15,107 @@ files = [
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.4.6"
 description = "Happy Eyeballs for asyncio"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "storage", "tools", "vdb"]
+python-versions = ">=3.9"
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
-    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
+    {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
+    {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.11.11"
+version = "3.11.12"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "aiohttp-3.11.12.tar.gz", hash = "sha256:7603ca26d75b1b86160ce1bbe2787a0b706e592af5b2504e12caa88a217767b0"},
 ]
 
 [package.dependencies]
@@ -125,22 +130,6 @@ yarl = ">=1.17.0,<2.0"
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
-[[package]]
-name = "aiohttp-retry"
-version = "2.9.1"
-description = "Simple retry client for aiohttp"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "aiohttp_retry-2.9.1-py3-none-any.whl", hash = "sha256:66d2759d1921838256a05a3f80ad7e724936f083e35be5abb5e16eed6be6dc54"},
-    {file = "aiohttp_retry-2.9.1.tar.gz", hash = "sha256:8eb75e904ed4ee5c2ec242fefe85bf04240f685391c4879d8f541d6028ff01f1"},
-]
-
-[package.dependencies]
-aiohttp = "*"
-
 [[package]]
 name = "aiomysql"
 version = "0.2.0"
@@ -167,7 +156,7 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
@@ -179,15 +168,15 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "alembic"
-version = "1.14.0"
+version = "1.14.1"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"},
-    {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"},
+    {file = "alembic-1.14.1-py3-none-any.whl", hash = "sha256:1acdd7a3a478e208b0503cd73614d5e4c6efafa4e73518bb60e4f2846a37b1c5"},
+    {file = "alembic-1.14.1.tar.gz", hash = "sha256:496e888245a53adf1498fcab31713a469c65836f8de76e01399aa1c3e90dd213"},
 ]
 
 [package.dependencies]
@@ -196,7 +185,7 @@ SQLAlchemy = ">=1.3.0"
 typing-extensions = ">=4"
 
 [package.extras]
-tz = ["backports.zoneinfo"]
+tz = ["backports.zoneinfo", "tzdata"]
 
 [[package]]
 name = "alibabacloud-credentials"
@@ -466,15 +455,15 @@ vine = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "aniso8601"
-version = "9.0.1"
+version = "10.0.0"
 description = "A library for parsing ISO 8601 strings."
 optional = false
 python-versions = "*"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "aniso8601-9.0.1-py2.py3-none-any.whl", hash = "sha256:1d2b7ef82963909e93c4f24ce48d4de9e66009a21bf1c1e1c85bdd0812fe412f"},
-    {file = "aniso8601-9.0.1.tar.gz", hash = "sha256:72e3117667eedf66951bb2d93f4296a56b94b078a8a95905a052611fb3f1b973"},
+    {file = "aniso8601-10.0.0-py2.py3-none-any.whl", hash = "sha256:3c943422efaa0229ebd2b0d7d223effb5e7c89e24d2267ebe76c61a2d8e290cb"},
+    {file = "aniso8601-10.0.0.tar.gz", hash = "sha256:ff1d0fc2346688c62c0151547136ac30e322896ed8af316ef7602c47da9426cf"},
 ]
 
 [package.extras]
@@ -493,32 +482,6 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[[package]]
-name = "anthropic"
-version = "0.23.1"
-description = "The official Python library for the anthropic API"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "anthropic-0.23.1-py3-none-any.whl", hash = "sha256:6dc5779dae83a5834864f4a4af0166c972b70f4cb8fd2765e1558282cc6d6242"},
-    {file = "anthropic-0.23.1.tar.gz", hash = "sha256:9325103702cbc96bb09d1b58c36bde75c726f6a01029fb4d85f41ebba07e9066"},
-]
-
-[package.dependencies]
-anyio = ">=3.5.0,<5"
-distro = ">=1.7.0,<2"
-httpx = ">=0.23.0,<1"
-pydantic = ">=1.9.0,<3"
-sniffio = "*"
-tokenizers = ">=0.13.0"
-typing-extensions = ">=4.7,<5"
-
-[package.extras]
-bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
-vertex = ["google-auth (>=2,<3)"]
-
 [[package]]
 name = "anyio"
 version = "4.8.0"
@@ -542,23 +505,6 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
-[[package]]
-name = "arxiv"
-version = "2.1.0"
-description = "Python wrapper for the arXiv API: https://arxiv.org/help/api/"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "arxiv-2.1.0-py3-none-any.whl", hash = "sha256:d634a0a59c9f05baf524eaa65563bb0a4532d2b4727a1162a1a9ba7e1e6e48cc"},
-    {file = "arxiv-2.1.0.tar.gz", hash = "sha256:eb4b1d5ab9dfd66027c344bb324c20be21d56fe15f6ce216ed5b209df747dea8"},
-]
-
-[package.dependencies]
-feedparser = "6.0.10"
-requests = "2.31.0"
-
 [[package]]
 name = "asgiref"
 version = "3.8.1"
@@ -590,24 +536,24 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "25.1.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
-groups = ["main", "lint", "storage", "tools", "vdb"]
+python-versions = ">=3.8"
+groups = ["main", "lint", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+    {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
+    {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "authlib"
@@ -625,79 +571,6 @@ files = [
 [package.dependencies]
 cryptography = "*"
 
-[[package]]
-name = "azure-ai-inference"
-version = "1.0.0b8"
-description = "Microsoft Azure AI Inference Client Library for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "azure_ai_inference-1.0.0b8-py3-none-any.whl", hash = "sha256:9bfcfe6ef5b1699fed6c70058027c253bcbc88f4730e7409fbfc675636ec05e4"},
-    {file = "azure_ai_inference-1.0.0b8.tar.gz", hash = "sha256:b7bcaaac5f53f2be06804ac6c755be9583ac6ba99df533a3970da081838b4cc1"},
-]
-
-[package.dependencies]
-azure-core = ">=1.30.0"
-isodate = ">=0.6.1"
-typing-extensions = ">=4.6.0"
-
-[package.extras]
-opentelemetry = ["azure-core-tracing-opentelemetry"]
-prompts = ["pyyaml"]
-
-[[package]]
-name = "azure-ai-ml"
-version = "1.20.0"
-description = "Microsoft Azure Machine Learning Client Library for Python"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "azure-ai-ml-1.20.0.tar.gz", hash = "sha256:6432a0da1b7250cb0db5a1c33202e0419935e19ea32d4c2b3220705f8f1d4101"},
-    {file = "azure_ai_ml-1.20.0-py3-none-any.whl", hash = "sha256:c7eb3c5ccf82a6ee94403c3e5060763decd38cf03ff2620a4a6577526e605104"},
-]
-
-[package.dependencies]
-azure-common = ">=1.1"
-azure-core = ">=1.23.0"
-azure-mgmt-core = ">=1.3.0"
-azure-storage-blob = ">=12.10.0"
-azure-storage-file-datalake = ">=12.2.0"
-azure-storage-file-share = "*"
-colorama = "*"
-isodate = "*"
-jsonschema = ">=4.0.0"
-marshmallow = ">=3.5"
-msrest = ">=0.6.18"
-opencensus-ext-azure = "*"
-opencensus-ext-logging = "*"
-pydash = ">=6.0.0"
-pyjwt = "*"
-pyyaml = ">=5.1.0"
-strictyaml = "*"
-tqdm = "*"
-typing-extensions = "*"
-
-[package.extras]
-designer = ["mldesigner"]
-mount = ["azureml-dataprep-rslex (>=2.22.0)"]
-
-[[package]]
-name = "azure-common"
-version = "1.1.28"
-description = "Microsoft Azure Client Library for Python (Common)"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"},
-    {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"},
-]
-
 [[package]]
 name = "azure-core"
 version = "1.32.0"
@@ -738,29 +611,13 @@ cryptography = ">=2.5"
 msal = ">=1.24.0"
 msal-extensions = ">=0.3.0"
 
-[[package]]
-name = "azure-mgmt-core"
-version = "1.5.0"
-description = "Microsoft Azure Management Core Library for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-azure-core = ">=1.31.0"
-
 [[package]]
 name = "azure-storage-blob"
 version = "12.13.0"
 description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "storage"]
+groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "azure-storage-blob-12.13.0.zip", hash = "sha256:53f0d4cd32970ac9ff9b9753f83dd2fb3f9ac30e1d01e71638c436c509bfd884"},
@@ -772,46 +629,6 @@ azure-core = ">=1.23.1,<2.0.0"
 cryptography = ">=2.1.4"
 msrest = ">=0.6.21"
 
-[[package]]
-name = "azure-storage-file-datalake"
-version = "12.8.0"
-description = "Microsoft Azure File DataLake Storage Client Library for Python"
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-azure-core = ">=1.23.1,<2.0.0"
-azure-storage-blob = ">=12.13.0,<13.0.0"
-msrest = ">=0.6.21"
-
-[[package]]
-name = "azure-storage-file-share"
-version = "12.20.0"
-description = "Microsoft Azure Azure File Share Storage Client Library for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-azure-core = ">=1.30.0"
-cryptography = ">=2.1.4"
-isodate = ">=0.6.1"
-typing-extensions = ">=4.6.0"
-
-[package.extras]
-aio = ["azure-core[aio] (>=1.30.0)"]
-
 [[package]]
 name = "backoff"
 version = "2.2.1"
@@ -827,15 +644,15 @@ files = [
 
 [[package]]
 name = "bce-python-sdk"
-version = "0.9.25"
+version = "0.9.29"
 description = "BCE SDK for python"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
 groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "bce_python_sdk-0.9.29-py3-none-any.whl", hash = "sha256:6518dc0ada422acd1841eeabcb7f89cfc07e3bb1a4be3c75945cab953907b555"},
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 ]
 
 [package.dependencies]
@@ -889,7 +706,7 @@ version = "4.12.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -922,7 +739,7 @@ version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "tools"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -952,15 +769,15 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.36.12"
+version = "1.36.21"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
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@@ -1055,8 +876,14 @@ files = [
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@@ -1067,8 +894,24 @@ files = [
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@@ -1078,6 +921,10 @@ files = [
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@@ -1113,6 +968,10 @@ files = [
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@@ -1273,15 +1132,15 @@ zstd = ["zstandard (==0.22.0)"]
 
 [[package]]
 name = "certifi"
-version = "2024.12.14"
+version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "storage", "tools", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
+    {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
 ]
 
 [[package]]
@@ -1290,7 +1149,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 files = [
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@@ -1360,7 +1219,7 @@ files = [
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+markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", storage = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -1676,7 +1535,7 @@ version = "0.7.19"
 description = "ClickHouse Database Core Driver for Python, Pandas, and Superset"
 optional = false
 python-versions = "~=3.8"
-groups = ["tools", "vdb"]
+groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -1762,19 +1621,6 @@ pandas = ["pandas"]
 sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
 tzlocal = ["tzlocal (>=4.0)"]
 
-[[package]]
-name = "cloudpickle"
-version = "2.2.1"
-description = "Extended pickling support for Python objects"
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-]
-
 [[package]]
 name = "cloudscraper"
 version = "1.2.71"
@@ -1793,28 +1639,6 @@ pyparsing = ">=2.4.7"
 requests = ">=2.9.2"
 requests-toolbelt = ">=0.9.1"
 
-[[package]]
-name = "cohere"
-version = "5.2.6"
-description = ""
-optional = false
-python-versions = "<4.0,>=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-
-[package.dependencies]
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-httpx = ">=0.21.2"
-pydantic = ">=1.9.2"
-requests = ">=2.0.0,<3.0.0"
-tokenizers = ">=0.15.2,<0.16.0"
-types-requests = ">=2.0.0,<3.0.0"
-typing_extensions = ">=4.0.0"
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -1826,7 +1650,7 @@ files = [
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+markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Windows\" or sys_platform == \"win32\")", dev = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Windows\" or sys_platform == \"win32\")", lint = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\"", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\"", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_system == \"Windows\" or os_name == \"nt\" or sys_platform == \"win32\")"}
 
 [[package]]
 name = "coloredlogs"
@@ -1847,81 +1671,6 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
-[[package]]
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-version = "1.3.1"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
-python-versions = ">=3.10"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-[package.extras]
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-
 [[package]]
 name = "cos-python-sdk-v5"
 version = "1.9.30"
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 [[package]]
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 [[package]]
 name = "cryptography"
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 ]
 
 [package.dependencies]
@@ -2119,82 +1870,9 @@ nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2)"]
 pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==44.0.0)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==44.0.1)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
-[[package]]
-name = "cssselect"
-version = "1.2.0"
-description = "cssselect parses CSS3 Selectors and translates them to XPath 1.0"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[[package]]
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-groups = ["tools"]
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-
-[package.extras]
-docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
-tests = ["pytest", "pytest-cov", "pytest-xdist"]
-
-[[package]]
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-python-versions = ">=3.8.0"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-aiohttp = "*"
-requests = "*"
-tiktoken = {version = "*", optional = true, markers = "extra == \"tokenizer\""}
-
-[package.extras]
-tokenizer = ["tiktoken"]
-
-[[package]]
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-optional = false
-python-versions = "*"
-groups = ["main"]
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-[package.dependencies]
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-
-[package.extras]
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-toml = ["tomli (>=2,<3)", "tomli (>=2,<3)", "tomli-w (>=1,<2)"]
-yaml = ["PyYAML (>=6,<7)"]
-
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -2212,25 +1890,6 @@ files = [
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
-[[package]]
-name = "db-dtypes"
-version = "1.3.1"
-description = "Pandas Data Types for SQL systems (BigQuery, Spanner)"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
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-packaging = ">=17.0"
-pandas = ">=0.24.2"
-pyarrow = ">=3.0.0"
-
 [[package]]
 name = "decorator"
 version = "5.1.1"
@@ -2259,22 +1918,22 @@ files = [
 
 [[package]]
 name = "deprecated"
-version = "1.2.15"
+version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
 ]
 
 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"]
 
 [[package]]
 name = "deprecation"
@@ -2292,23 +1951,6 @@ files = [
 [package.dependencies]
 packaging = "*"
 
-[[package]]
-name = "dill"
-version = "0.3.9"
-description = "serialize all of Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
 [[package]]
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 version = "1.9.0"
@@ -2322,30 +1964,6 @@ files = [
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-groups = ["main"]
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-[package.dependencies]
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-
-[package.extras]
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-
 [[package]]
 name = "docstring-parser"
 version = "0.16"
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 ply = ">=3.11,<4.0"
 typing_extensions = ">=4.0,<5.0"
 
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-]
-
-[[package]]
-name = "duckduckgo-search"
-version = "6.3.7"
-description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
-optional = false
-python-versions = ">=3.8"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-primp = ">=0.8.1"
-
-[package.extras]
-dev = ["mypy (>=1.11.1)", "pytest (>=8.3.1)", "pytest-asyncio (>=0.23.8)", "ruff (>=0.6.1)"]
-lxml = ["lxml (>=5.2.2)"]
-
 [[package]]
 name = "durationpy"
 version = "0.9"
@@ -2520,15 +2054,15 @@ vectorstore-mmr = ["numpy (>=1)", "simsimd (>=3)"]
 
 [[package]]
 name = "emoji"
-version = "2.14.0"
+version = "2.14.1"
 description = "Emoji for Python"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.extras]
@@ -2595,147 +2129,44 @@ files = [
 python-dateutil = ">=2.4"
 typing-extensions = "*"
 
-[[package]]
-name = "fal-client"
-version = "0.5.6"
-description = "Python client for fal.ai"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
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-[package.dependencies]
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-
-[package.extras]
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-test = ["pillow", "pytest", "pytest-asyncio"]
-
 [[package]]
 name = "fastapi"
-version = "0.115.6"
+version = "0.115.8"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 [package.dependencies]
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-starlette = ">=0.40.0,<0.42.0"
+starlette = ">=0.40.0,<0.46.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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-
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 [package.extras]
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 [[package]]
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@@ -2944,155 +2320,15 @@ sqlalchemy = ">=2.0.16"
 
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@@ -3101,7 +2337,7 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "storage", "tools", "vdb"]
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@@ -3200,15 +2436,15 @@ files = [
 
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 [[package]]
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@@ -3553,15 +2770,15 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
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+version = "3.29.0"
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@@ -3574,10 +2791,10 @@ python-dateutil = ">=2.7.3,<3.0dev"
 requests = ">=2.21.0,<3.0.0dev"
 
 [package.extras]
-all = ["Shapely (>=1.8.4,<3.0.0dev)", "bigquery-magics (>=0.1.0)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.22.3,<2.0.0dev)", "protobuf (>=3.20.2,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+all = ["google-cloud-bigquery[bigquery-v2,bqstorage,geopandas,ipython,ipywidgets,opentelemetry,pandas,tqdm]"]
 bigquery-v2 = ["proto-plus (>=1.22.3,<2.0.0dev)", "protobuf (>=3.20.2,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0dev)"]
 bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
-geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
+geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<2.0dev)"]
 ipython = ["bigquery-magics (>=0.1.0)"]
 ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
 opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
@@ -3689,48 +2906,6 @@ files = [
 [package.extras]
 testing = ["pytest"]
 
-[[package]]
-name = "google-generativeai"
-version = "0.8.1"
-description = "Google Generative AI High level API client library and tools."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "google_generativeai-0.8.1-py3-none-any.whl", hash = "sha256:b031877f24d51af0945207657c085896a0a886eceec7a1cb7029327b0aa6e2f6"},
-]
-
-[package.dependencies]
-google-ai-generativelanguage = "0.6.9"
-google-api-core = "*"
-google-api-python-client = "*"
-google-auth = ">=2.15.0"
-protobuf = "*"
-pydantic = "*"
-tqdm = "*"
-typing-extensions = "*"
-
-[package.extras]
-dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "pyyaml"]
-
-[[package]]
-name = "google-pasta"
-version = "0.2.0"
-description = "pasta is an AST-based Python refactoring library"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
-    {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
-    {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"},
-]
-
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "google-resumable-media"
 version = "2.7.2"
@@ -3773,15 +2948,15 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gotrue"
-version = "2.11.1"
+version = "2.11.3"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "gotrue-2.11.1-py3-none-any.whl", hash = "sha256:1b2d915bdc65fd0ad608532759ce9c72fa2e910145c1e6901f2188519e7bcd2d"},
-    {file = "gotrue-2.11.1.tar.gz", hash = "sha256:5594ceee60bd873e5f4fdd028b08dece3906f6013b6ed08e7786b71c0092fed0"},
+    {file = "gotrue-2.11.3-py3-none-any.whl", hash = "sha256:8ad90771ff6b8ede180cf6242c5b0246b9288ad58b57ce0387ef94166e84284b"},
+    {file = "gotrue-2.11.3.tar.gz", hash = "sha256:14b03eb856b94a96fab73c8d41970ad645a74326ee4da95e66395e6b2c208ff7"},
 ]
 
 [package.dependencies]
@@ -3794,7 +2969,7 @@ version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "tools", "vdb"]
+groups = ["main", "dev", "vdb"]
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -3870,7 +3045,7 @@ files = [
     {file = "greenlet-3.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:3319aa75e0e0639bc15ff54ca327e8dc7a6fe404003496e3c6925cd3142e0e22"},
     {file = "greenlet-3.1.1.tar.gz", hash = "sha256:4ce3ac6cdb6adf7946475d7ef31777c26d94bccc377e070a7986bd2d5c515467"},
 ]
-markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_python_implementation == \"CPython\")", dev = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
+markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_python_implementation == \"CPython\")", dev = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")", vdb = "(python_version == \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 
 [package.extras]
 docs = ["Sphinx", "furo"]
@@ -4074,7 +3249,7 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
@@ -4083,20 +3258,20 @@ files = [
 
 [[package]]
 name = "h2"
-version = "4.1.0"
-description = "HTTP/2 State-Machine based protocol implementation"
+version = "4.2.0"
+description = "Pure-Python HTTP/2 protocol implementation"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
 groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
-    {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
+    {file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
+    {file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
 ]
 
 [package.dependencies]
-hpack = ">=4.0,<5"
-hyperframe = ">=6.0,<7"
+hpack = ">=4.1,<5"
+hyperframe = ">=6.1,<7"
 
 [[package]]
 name = "hiredis"
@@ -4220,15 +3395,15 @@ files = [
 
 [[package]]
 name = "hpack"
-version = "4.0.0"
-description = "Pure-Python HPACK header compression"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
 groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
-    {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
+    {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
+    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
 ]
 
 [[package]]
@@ -4237,7 +3412,7 @@ version = "1.1"
 description = "HTML parser based on the WHATWG HTML specification"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d"},
@@ -4379,35 +3554,22 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "httpx-sse"
-version = "0.4.0"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
-    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
-]
-
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.28.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
-    {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
+    {file = "huggingface_hub-0.28.1-py3-none-any.whl", hash = "sha256:aa6b9a3ffdae939b72c464dbb0d7f99f56e649b55c3d52406f49e0a5a620c0a7"},
+    {file = "huggingface_hub-0.28.1.tar.gz", hash = "sha256:893471090c98e3b6efbdfdacafe4052b20b84d59866fb6f54c33d9af18c303ae"},
 ]
 
 [package.dependencies]
 filelock = "*"
-fsspec = "*"
+fsspec = ">=2023.5.0"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -4415,16 +3577,18 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
@@ -4444,15 +3608,15 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "hyperframe"
-version = "6.0.1"
-description = "HTTP/2 framing layer for Python"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
 groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
-    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
 ]
 
 [[package]]
@@ -4473,24 +3637,28 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-metadata"
-version = "6.11.0"
+version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
-    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
+    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
+    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
 ]
 
 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
@@ -4532,7 +3700,7 @@ version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "storage"]
+groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -4545,7 +3713,7 @@ version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "tools"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -4564,25 +3732,13 @@ files = [
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-description = "Chinese Words Segementation Utilities"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "tools"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -4708,38 +3864,6 @@ files = [
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-
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-attrs = ">=19.2.0"
-
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-description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
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-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-ply = "*"
-
 [[package]]
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 version = "1.0.6"
@@ -4759,7 +3883,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -4782,7 +3906,7 @@ version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 description = "Static image export for web-based visualization libraries with zero dependencies"
 optional = false
 python-versions = "*"
-groups = ["indirect", "tools"]
+groups = ["indirect"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -4809,97 +3933,6 @@ files = [
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-
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 version = "5.4.2"
@@ -4937,15 +3970,15 @@ zookeeper = ["kazoo (>=2.8.0)"]
 
 [[package]]
 name = "kubernetes"
-version = "31.0.0"
+version = "32.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 [package.dependencies]
@@ -5137,291 +4170,266 @@ rapidfuzz = ">=3.9.0,<4.0.0"
 
 [[package]]
 name = "litellm"
-version = "1.51.3"
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 jinja2 = ">=3.1.2,<4.0.0"
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-
 [[package]]
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 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
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 [package.extras]
-docs = ["sphinx (>=1.6.0)", "sphinx-bootstrap-theme"]
+docs = ["sphinx (>=1.6.0)", "sphinx_bootstrap_theme"]
 flake8 = ["flake8"]
 tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"]
 
@@ -5446,15 +4454,15 @@ urllib3 = ">=1.23"
 
 [[package]]
 name = "mako"
-version = "1.3.8"
+version = "1.3.9"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [package.dependencies]
@@ -5514,7 +4522,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "tools"]
+groups = ["main", "dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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@@ -5582,15 +4590,15 @@ files = [
 
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [package.dependencies]
@@ -5598,59 +4606,9 @@ packaging = ">=17.0"
 
 [package.extras]
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 tests = ["pytest", "simplejson"]
 
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-python-versions = ">=3.9"
-groups = ["tools"]
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 [[package]]
 name = "monotonic"
@@ -5841,25 +4753,6 @@ files = [
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-
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -5923,7 +4816,7 @@ version = "0.7.1"
 description = "AutoRest swagger generator Python client runtime."
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "storage"]
+groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -5946,7 +4839,7 @@ version = "6.1.0"
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 optional = false
 python-versions = ">=3.8"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -6043,49 +4936,6 @@ files = [
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-
 [[package]]
 name = "mypy"
 version = "1.13.0"
@@ -6153,19 +5003,6 @@ files = [
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-
 [[package]]
 name = "nest-asyncio"
 version = "1.6.0"
@@ -6179,34 +5016,6 @@ files = [
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 ]
 
-[[package]]
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-description = "Simplified python article discovery & extraction."
-optional = false
-python-versions = "*"
-groups = ["tools"]
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-tinysegmenter = "0.3"
-tldextract = ">=2.0.1"
-
 [[package]]
 name = "nltk"
 version = "3.9.1"
@@ -6234,134 +5043,91 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
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-description = "The official Nomic python client."
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-
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-
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-
 [[package]]
 name = "numba"
-version = "0.60.0"
+version = "0.61.0"
 description = "compiling Python code using LLVM"
 optional = false
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+python-versions = ">=3.10"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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+    {file = "numexpr-2.10.2-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a018a7d81326f4c73d8b5aee61794d7d8514512f43957c0db61eb2a8a86848c7"},
+    {file = "numexpr-2.10.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:037859b17a0abe2b489d4c2cfdadd2bf458ec80dd83f338ea5544c7987e06b85"},
+    {file = "numexpr-2.10.2-cp39-cp39-win32.whl", hash = "sha256:eb278ccda6f893a312aa0452701bb17d098b7b14eb7c9381517d509cce0a39a3"},
+    {file = "numexpr-2.10.2-cp39-cp39-win_amd64.whl", hash = "sha256:734b64c6d6a597601ce9d0ef7b666e678ec015b446f1d1412c23903c021436c3"},
+    {file = "numexpr-2.10.2.tar.gz", hash = "sha256:b0aff6b48ebc99d2f54f27b5f73a58cb92fde650aeff1b397c71c8788b4fff1a"},
 ]
 
 [package.dependencies]
-numpy = ">=1.13.3"
+numpy = ">=1.23.0"
 
 [[package]]
 name = "numpy"
@@ -6369,7 +5135,7 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "indirect", "tools", "vdb"]
+groups = ["main", "indirect", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
@@ -6416,7 +5182,7 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "storage", "vdb"]
+groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
@@ -6522,15 +5288,15 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.61.0"
+version = "1.61.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "openai-1.61.0-py3-none-any.whl", hash = "sha256:e8c512c0743accbdbe77f3429a1490d862f8352045de8dc81969301eb4a4f666"},
-    {file = "openai-1.61.0.tar.gz", hash = "sha256:216f325a24ed8578e929b0f1b3fb2052165f3b04b0461818adaa51aa29c71f8a"},
+    {file = "openai-1.61.1-py3-none-any.whl", hash = "sha256:72b0826240ce26026ac2cd17951691f046e5be82ad122d20a8e1b30ca18bd11e"},
+    {file = "openai-1.61.1.tar.gz", hash = "sha256:ce1851507218209961f89f3520e06726c0aa7d0512386f0f977e3ac3e4f2472e"},
 ]
 
 [package.dependencies]
@@ -6547,93 +5313,30 @@ typing-extensions = ">=4.11,<5"
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<15)"]
 
-[[package]]
-name = "opencensus"
-version = "0.11.4"
-description = "A stats collection and distributed tracing framework"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-    {file = "opencensus-0.11.4.tar.gz", hash = "sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2"},
-]
-
-[package.dependencies]
-google-api-core = {version = ">=1.0.0,<3.0.0", markers = "python_version >= \"3.6\""}
-opencensus-context = ">=0.1.3"
-six = ">=1.16,<2.0"
-
-[[package]]
-name = "opencensus-context"
-version = "0.1.3"
-description = "OpenCensus Runtime Context"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-    {file = "opencensus_context-0.1.3-py2.py3-none-any.whl", hash = "sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039"},
-]
-
-[[package]]
-name = "opencensus-ext-azure"
-version = "1.1.14"
-description = "OpenCensus Azure Monitor Exporter"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-azure-core = ">=1.12.0,<2.0.0"
-azure-identity = ">=1.5.0,<2.0.0"
-opencensus = ">=0.11.4,<1.0.0"
-psutil = ">=5.6.3"
-requests = ">=2.19.0"
-
-[[package]]
-name = "opencensus-ext-logging"
-version = "0.1.1"
-description = "OpenCensus logging Integration"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-opencensus = ">=0.8.0,<1.0.0"
-
 [[package]]
 name = "opendal"
-version = "0.45.13"
+version = "0.45.15"
 description = "Apache OpenDAL™ Python Binding"
 optional = false
 python-versions = ">=3.10"
 groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "opendal-0.45.15-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fabd759dfafdc04fdefaccd5764d4eb689059b491a6428a8f2528d2fcad8205"},
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+    {file = "opendal-0.45.15.tar.gz", hash = "sha256:ce7ac10d359a029efb4def31816f665dd02200ec3b076c50c67eabaf67f80117"},
 ]
 
 [package.extras]
@@ -6686,15 +5389,15 @@ kerberos = ["requests-kerberos"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.29.0"
+version = "1.30.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"},
-    {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"},
+    {file = "opentelemetry_api-1.30.0-py3-none-any.whl", hash = "sha256:d5f5284890d73fdf47f843dda3210edf37a38d66f44f2b5aedc1e89ed455dc09"},
+    {file = "opentelemetry_api-1.30.0.tar.gz", hash = "sha256:375893400c1435bf623f7dfb3bcd44825fe6b56c34d0667c542ea8257b1a1240"},
 ]
 
 [package.dependencies]
@@ -6727,65 +5430,65 @@ test = ["pytest-grpc"]
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.50b0"
+version = "0.51b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "opentelemetry_instrumentation-0.50b0-py3-none-any.whl", hash = "sha256:b8f9fc8812de36e1c6dffa5bfc6224df258841fb387b6dfe5df15099daa10630"},
-    {file = "opentelemetry_instrumentation-0.50b0.tar.gz", hash = "sha256:7d98af72de8dec5323e5202e46122e5f908592b22c6d24733aad619f07d82979"},
+    {file = "opentelemetry_instrumentation-0.51b0-py3-none-any.whl", hash = "sha256:c6de8bd26b75ec8b0e54dff59e198946e29de6a10ec65488c357d4b34aa5bdcf"},
+    {file = "opentelemetry_instrumentation-0.51b0.tar.gz", hash = "sha256:4ca266875e02f3988536982467f7ef8c32a38b8895490ddce9ad9604649424fa"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-semantic-conventions = "0.51b0"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.50b0"
+version = "0.51b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.50b0-py3-none-any.whl", hash = "sha256:2ba1297f746e55dec5a17fe825689da0613662fb25c004c3965a6c54b1d5be22"},
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+    {file = "opentelemetry_instrumentation_asgi-0.51b0-py3-none-any.whl", hash = "sha256:e8072993db47303b633c6ec1bc74726ba4d32bd0c46c28dfadf99f79521a324c"},
+    {file = "opentelemetry_instrumentation_asgi-0.51b0.tar.gz", hash = "sha256:b3fe97c00f0bfa934371a69674981d76591c68d937b6422a5716ca21081b4148"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.50b0"
-opentelemetry-semantic-conventions = "0.50b0"
-opentelemetry-util-http = "0.50b0"
+opentelemetry-instrumentation = "0.51b0"
+opentelemetry-semantic-conventions = "0.51b0"
+opentelemetry-util-http = "0.51b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.50b0"
+version = "0.51b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.50b0-py3-none-any.whl", hash = "sha256:8f03b738495e4705fbae51a2826389c7369629dace89d0f291c06ffefdff5e52"},
-    {file = "opentelemetry_instrumentation_fastapi-0.50b0.tar.gz", hash = "sha256:16b9181682136da210295def2bb304a32fb9bdee9a935cdc9da43567f7c1149e"},
+    {file = "opentelemetry_instrumentation_fastapi-0.51b0-py3-none-any.whl", hash = "sha256:10513bbc11a1188adb9c1d2c520695f7a8f2b5f4de14e8162098035901cd6493"},
+    {file = "opentelemetry_instrumentation_fastapi-0.51b0.tar.gz", hash = "sha256:1624e70f2f4d12ceb792d8a0c331244cd6723190ccee01336273b4559bc13abc"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.50b0"
-opentelemetry-instrumentation-asgi = "0.50b0"
-opentelemetry-semantic-conventions = "0.50b0"
-opentelemetry-util-http = "0.50b0"
+opentelemetry-instrumentation = "0.51b0"
+opentelemetry-instrumentation-asgi = "0.51b0"
+opentelemetry-semantic-conventions = "0.51b0"
+opentelemetry-util-http = "0.51b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
@@ -6808,63 +5511,63 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.29.0"
+version = "1.30.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"},
-    {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"},
+    {file = "opentelemetry_sdk-1.30.0-py3-none-any.whl", hash = "sha256:14fe7afc090caad881addb6926cec967129bd9260c4d33ae6a217359f6b61091"},
+    {file = "opentelemetry_sdk-1.30.0.tar.gz", hash = "sha256:c9287a9e4a7614b9946e933a67168450b9ab35f08797eb9bc77d998fa480fa18"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.29.0"
-opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-api = "1.30.0"
+opentelemetry-semantic-conventions = "0.51b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.50b0"
+version = "0.51b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 [package.dependencies]
 deprecated = ">=1.2.6"
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+opentelemetry-api = "1.30.0"
 
 [[package]]
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+version = "0.51b0"
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 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 [[package]]
 name = "opik"
-version = "1.3.4"
+version = "1.3.5"
 description = "Comet tool for logging and evaluating LLM traces"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
@@ -6928,87 +5631,91 @@ cryptography = ">=3.2.1"
 
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 markers = {main = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
@@ -7051,7 +5758,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "storage", "tools", "vdb"]
+groups = ["main", "dev", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -7064,7 +5771,7 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -7171,37 +5878,6 @@ files = [
 numpy = ">=1.23.5"
 types-pytz = ">=2022.1.1"
 
-[[package]]
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-version = "0.3.3"
-description = "parallel graph management and execution in heterogeneous computing"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-dill = ">=0.3.9"
-multiprocess = ">=0.70.17"
-pox = ">=0.3.5"
-ppft = ">=1.7.6.9"
-
-[[package]]
-name = "peewee"
-version = "3.17.8"
-description = "a little orm"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-]
-
 [[package]]
 name = "pgvecto-rs"
 version = "0.2.2"
@@ -7247,7 +5923,7 @@ version = "11.1.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -7331,41 +6007,6 @@ tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "ole
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
-[[package]]
-name = "platformdirs"
-version = "4.3.6"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
-    {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
-]
-
-[package.extras]
-docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
-
-[[package]]
-name = "plotly"
-version = "5.24.1"
-description = "An open-source, interactive data visualization library for Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "plotly-5.24.1-py3-none-any.whl", hash = "sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089"},
-    {file = "plotly-5.24.1.tar.gz", hash = "sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae"},
-]
-
-[package.dependencies]
-packaging = "*"
-tenacity = ">=6.2.0"
-
 [[package]]
 name = "pluggy"
 version = "1.5.0"
@@ -7389,7 +6030,7 @@ version = "3.11"
 description = "Python Lex & Yacc"
 optional = false
 python-versions = "*"
-groups = ["lint", "tools"]
+groups = ["lint"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
@@ -7437,15 +6078,15 @@ pydantic = ">=1.9,<3.0"
 
 [[package]]
 name = "posthog"
-version = "3.7.5"
+version = "3.13.0"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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-    {file = "posthog-3.7.5.tar.gz", hash = "sha256:8ba40ab623da35db72715fc87fe7dccb7fc272ced92581fe31db2d4dbe7ad761"},
+    {file = "posthog-3.13.0-py2.py3-none-any.whl", hash = "sha256:0afd0132055a3da9c6b0ecf763e7f2ce2b66659ef16169883394d0835c30d501"},
+    {file = "posthog-3.13.0.tar.gz", hash = "sha256:54e9de232459846b1686a0cfb58acb02b7ccda379d837e1eb1c3af62c3775915"},
 ]
 
 [package.dependencies]
@@ -7456,73 +6097,22 @@ requests = ">=2.7,<3.0"
 six = ">=1.5"
 
 [package.extras]
-dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
+dev = ["black", "django-stubs", "flake8", "flake8-print", "isort", "lxml", "mypy", "mypy-baseline", "pre-commit", "pydantic", "types-mock", "types-python-dateutil", "types-requests", "types-setuptools", "types-six"]
+langchain = ["langchain (>=0.2.0)"]
 sentry = ["django", "sentry-sdk"]
-test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
-
-[[package]]
-name = "pox"
-version = "0.3.5"
-description = "utilities for filesystem exploration and automated builds"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[[package]]
-name = "ppft"
-version = "1.7.6.9"
-description = "distributed and parallel Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-
-[package.extras]
-dill = ["dill (>=0.3.9)"]
-
-[[package]]
-name = "primp"
-version = "0.10.0"
-description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
-optional = false
-python-versions = ">=3.8"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-]
-
-[package.extras]
-dev = ["certifi", "pytest (>=8.1.1)"]
+test = ["anthropic", "coverage", "django", "flake8", "freezegun (==1.5.1)", "langchain-anthropic (>=0.2.0)", "langchain-community (>=0.2.0)", "langchain-openai (>=0.2.0)", "langgraph", "mock (>=2.0.0)", "openai", "pydantic", "pylint", "pytest", "pytest-asyncio", "pytest-timeout"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.48"
+version = "3.0.50"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "prompt_toolkit-3.0.50-py3-none-any.whl", hash = "sha256:9b6427eb19e479d98acff65196a307c555eb567989e6d88ebbb1b509d9779198"},
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 ]
 
 [package.dependencies]
@@ -7534,7 +6124,7 @@ version = "0.2.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -7623,15 +6213,15 @@ files = [
 
 [[package]]
 name = "proto-plus"
-version = "1.25.0"
-description = "Beautiful, Pythonic protocol buffers."
+version = "1.26.0"
+description = "Beautiful, Pythonic protocol buffers"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "proto_plus-1.26.0-py3-none-any.whl", hash = "sha256:bf2dfaa3da281fc3187d12d224c707cb57214fb2c22ba854eb0c105a3fb2d4d7"},
+    {file = "proto_plus-1.26.0.tar.gz", hash = "sha256:6e93d5f5ca267b54300880fff156b6a3386b3fa3f43b1da62e680fc0c586ef22"},
 ]
 
 [package.dependencies]
@@ -7642,56 +6232,49 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "4.25.5"
+version = "4.25.6"
 description = ""
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [[package]]
 name = "psutil"
-version = "6.1.1"
-description = "Cross-platform lib for process and system monitoring in Python."
+version = "7.0.0"
+description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+python-versions = ">=3.6"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.extras]
-dev = ["abi3audit", "black", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest-cov", "requests", "rstcheck", "ruff", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
+dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
 test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
@@ -7712,7 +6295,7 @@ version = "2.9.10"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -7810,62 +6393,6 @@ files = [
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 ]
 
-[[package]]
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-version = "18.1.0"
-description = "Python library for Apache Arrow"
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-]
-
-[package.extras]
-test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
-
 [[package]]
 name = "pyasn1"
 version = "0.6.1"
@@ -7901,12 +6428,12 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
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 ]
-markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", storage = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", tools = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation == \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
+markers = {main = "python_version == \"3.11\" or python_version >= \"3.12\"", storage = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_python_implementation != \"PyPy\"", vdb = "python_version == \"3.11\" or python_version >= \"3.12\""}
 
 [[package]]
 name = "pycryptodome"
@@ -8122,38 +6649,6 @@ azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
-[[package]]
-name = "pydash"
-version = "8.0.4"
-description = "The kitchen sink of Python utility libraries for doing \"stuff\" in a functional way. Based on the Lo-Dash Javascript library."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-    {file = "pydash-8.0.4.tar.gz", hash = "sha256:a33fb17b4b06c617da5c57c711605d2dc8723311ee5388c8371f87cd44bf4112"},
-]
-
-[package.dependencies]
-typing-extensions = ">3.10,<4.6.0 || >4.6.0"
-
-[package.extras]
-dev = ["build", "coverage", "furo", "invoke", "mypy", "pytest", "pytest-cov", "pytest-mypy-testing", "ruff", "sphinx", "sphinx-autodoc-typehints", "tox", "twine", "wheel"]
-
-[[package]]
-name = "pydub"
-version = "0.25.1"
-description = "Manipulate audio with an simple and easy high level interface"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
 [[package]]
 name = "pygments"
 version = "2.19.1"
@@ -8176,7 +6671,7 @@ version = "2.8.0"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
@@ -8194,15 +6689,15 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.5.3"
+version = "2.5.4"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "pymilvus-2.5.3-py3-none-any.whl", hash = "sha256:64ca63594284586937274800be27a402f3be2d078130bf81d94ab8d7798ac9c8"},
-    {file = "pymilvus-2.5.3.tar.gz", hash = "sha256:68bc3797b7a14c494caf116cee888894ffd6eba7b96a3ac841be85d60694cc5d"},
+    {file = "pymilvus-2.5.4-py3-none-any.whl", hash = "sha256:3f7ddaeae0c8f63554b8e316b73f265d022e05a457d47c366ce47293434a3aea"},
+    {file = "pymilvus-2.5.4.tar.gz", hash = "sha256:611732428ff669d57ded3d1f823bdeb10febf233d0251cce8498b287e5a10ce8"},
 ]
 
 [package.dependencies]
@@ -8243,7 +6738,7 @@ version = "1.1.1"
 description = "Pure Python MySQL Driver"
 optional = false
 python-versions = ">=3.7"
-groups = ["tools", "vdb"]
+groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyMySQL-1.1.1-py3-none-any.whl", hash = "sha256:4de15da4c61dc132f4fb9ab763063e693d521a80fd0e87943b9a453dd4c19d6c"},
@@ -8295,15 +6790,15 @@ test = ["pretend", "pytest (>=3.0.1)", "pytest-rerunfailures"]
 
 [[package]]
 name = "pypandoc"
-version = "1.14"
+version = "1.15"
 description = "Thin wrapper for pandoc."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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-    {file = "pypandoc-1.14.tar.gz", hash = "sha256:6b4c45f5f1b9fb5bb562079164806bdbbc3e837b5402bcf3f1139edc5730a197"},
+    {file = "pypandoc-1.15-py3-none-any.whl", hash = "sha256:4ededcc76c8770f27aaca6dff47724578428eca84212a31479403a9731fc2b16"},
+    {file = "pypandoc-1.15.tar.gz", hash = "sha256:ea25beebe712ae41d63f7410c08741a3cab0e420f6703f95bc9b3a749192ce13"},
 ]
 
 [[package]]
@@ -8324,15 +6819,15 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "5.1.0"
+version = "5.3.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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-    {file = "pypdf-5.1.0.tar.gz", hash = "sha256:425a129abb1614183fd1aca6982f650b47f8026867c0ce7c4b9f281c443d2740"},
+    {file = "pypdf-5.3.0-py3-none-any.whl", hash = "sha256:d7b6db242f5f8fdb4990ae11815c394b8e1b955feda0befcce862efd8559c181"},
+    {file = "pypdf-5.3.0.tar.gz", hash = "sha256:08393660dfea25b27ec6fe863fb2f2248e6270da5103fae49e9dea8178741951"},
 ]
 
 [package.extras]
@@ -8379,19 +6874,6 @@ files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
 ]
 
-[[package]]
-name = "pypng"
-version = "0.20220715.0"
-description = "Pure Python library for saving and loading PNG images"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-    {file = "pypng-0.20220715.0.tar.gz", hash = "sha256:739c433ba96f078315de54c0db975aee537cbc3e1d0ae4ed9aab0ca1e427e2c1"},
-]
-
 [[package]]
 name = "pyproject-hooks"
 version = "1.2.0"
@@ -8623,7 +7105,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev", "storage", "tools", "vdb"]
+groups = ["main", "dev", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -8668,19 +7150,19 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-iso639"
-version = "2024.10.22"
+version = "2025.2.8"
 description = "ISO 639 language codes, names, and other associated information"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 [package.extras]
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+dev = ["black (==25.1.0)", "build (==1.2.2)", "flake8 (==7.1.1)", "mypy (==1.15.0)", "pytest (==8.3.4)", "requests (==2.32.3)", "twine (==6.1.0)"]
 
 [[package]]
 name = "python-magic"
@@ -8697,21 +7179,21 @@ files = [
 
 [[package]]
 name = "python-oxmsg"
-version = "0.0.1"
+version = "0.0.2"
 description = "Extract attachments from Outlook .msg files."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 [package.dependencies]
 click = "*"
 olefile = "*"
-typing-extensions = ">=4.9.0"
+typing_extensions = ">=4.9.0"
 
 [[package]]
 name = "python-pptx"
@@ -8734,15 +7216,15 @@ XlsxWriter = ">=0.5.7"
 
 [[package]]
 name = "pytz"
-version = "2024.2"
+version = "2025.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [[package]]
@@ -8752,6 +7234,7 @@ description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
 groups = ["main", "vdb"]
+markers = "(python_version == \"3.11\" or python_version >= \"3.12\") and platform_system == \"Windows\""
 files = [
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@@ -8772,7 +7255,6 @@ files = [
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 [[package]]
 name = "pyxlsb"
@@ -8793,7 +7275,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -8879,31 +7361,6 @@ urllib3 = ">=1.26.14,<3"
 [package.extras]
 fastembed = ["fastembed (==0.1.1)"]
 
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-name = "qrcode"
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-description = "QR Code image generator"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-pypng = "*"
-typing-extensions = "*"
-
-[package.extras]
-all = ["pillow (>=9.1.0)", "pytest", "pytest-cov", "tox", "zest.releaser[recommended]"]
-dev = ["pytest", "pytest-cov", "tox"]
-maintainer = ["zest.releaser[recommended]"]
-pil = ["pillow (>=9.1.0)"]
-test = ["coverage", "pytest"]
-
 [[package]]
 name = "rank-bm25"
 version = "0.2.2"
@@ -8925,101 +7382,101 @@ dev = ["pytest"]
 
 [[package]]
 name = "rapidfuzz"
-version = "3.11.0"
+version = "3.12.1"
 description = "rapid fuzzy string matching"
 optional = false
 python-versions = ">=3.9"
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 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [package.extras]
@@ -9051,22 +7508,22 @@ test = ["coveralls", "pycodestyle", "pyflakes", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "realtime"
-version = "2.1.0"
+version = "2.3.0"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["storage"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
 aiohttp = ">=3.11.11,<4.0.0"
 python-dateutil = ">=2.8.1,<3.0.0"
 typing-extensions = ">=4.12.2,<5.0.0"
-websockets = ">=11,<14"
+websockets = ">=11,<15"
 
 [[package]]
 name = "redis"
@@ -9091,20 +7548,21 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 
 [[package]]
 name = "referencing"
-version = "0.35.1"
+version = "0.36.2"
 description = "JSON Referencing + Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "tools"]
+python-versions = ">=3.9"
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
 attrs = ">=22.2.0"
 rpds-py = ">=0.7.0"
+typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "regex"
@@ -9211,28 +7669,6 @@ files = [
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 ]
 
-[[package]]
-name = "replicate"
-version = "0.22.0"
-description = "Python client for Replicate"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-httpx = ">=0.21.0,<1"
-packaging = "*"
-pydantic = ">1"
-typing-extensions = ">=4.5.0"
-
-[package.extras]
-dev = ["pylint", "pyright", "pytest", "pytest-asyncio", "pytest-recording", "respx", "ruff (>=0.1.3)"]
-
 [[package]]
 name = "requests"
 version = "2.31.0"
@@ -9256,29 +7692,13 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "requests-file"
-version = "2.1.0"
-description = "File transport adapter for Requests"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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-
-[package.dependencies]
-requests = ">=1.0.0"
-
 [[package]]
 name = "requests-oauthlib"
 version = "2.0.0"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=3.4"
-groups = ["main", "storage", "vdb"]
+groups = ["storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -9367,7 +7787,7 @@ version = "0.22.3"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -9493,31 +7913,31 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruff"
-version = "0.9.2"
+version = "0.9.6"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 groups = ["lint"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [[package]]
@@ -9673,201 +8093,6 @@ tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
 testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"]
 torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
-[[package]]
-name = "sagemaker"
-version = "2.231.0"
-description = "Open source library for training and deploying models on Amazon SageMaker."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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+    {file = "shapely-2.0.7.tar.gz", hash = "sha256:28fe2997aab9a9dc026dc6a355d04e85841546b2a5d232ed953e3321ab958ee5"},
 ]
 
 [package.dependencies]
@@ -10027,52 +8240,19 @@ files = [
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
 ]
 
-[[package]]
-name = "simple-websocket"
-version = "1.1.0"
-description = "Simple WebSocket server and client for Python"
-optional = false
-python-versions = ">=3.6"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "simple_websocket-1.1.0-py3-none-any.whl", hash = "sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c"},
-    {file = "simple_websocket-1.1.0.tar.gz", hash = "sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"},
-]
-
-[package.dependencies]
-wsproto = "*"
-
-[package.extras]
-dev = ["flake8", "pytest", "pytest-cov", "tox"]
-docs = ["sphinx"]
-
 [[package]]
 name = "six"
 version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev", "storage", "tools", "vdb"]
+groups = ["main", "dev", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
-[[package]]
-name = "smdebug-rulesconfig"
-version = "1.0.1"
-description = "SMDebug RulesConfig"
-optional = false
-python-versions = ">=2.7"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "smdebug_rulesconfig-1.0.1-py2.py3-none-any.whl", hash = "sha256:104da3e6931ecf879dfc687ca4bbb3bee5ea2bc27f4478e9dbb3ee3655f1ae61"},
-    {file = "smdebug_rulesconfig-1.0.1.tar.gz", hash = "sha256:7a19e6eb2e6bcfefbc07e4a86ef7a88f32495001a038bf28c7d8e77ab793fcd6"},
-]
-
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -10105,7 +8285,7 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
@@ -10118,7 +8298,7 @@ version = "2.0.35"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "tools", "vdb"]
+groups = ["main", "dev", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "SQLAlchemy-2.0.35-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67219632be22f14750f0d1c70e62f204ba69d28f62fd6432ba05ab295853de9b"},
@@ -10201,23 +8381,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
-[[package]]
-name = "sqlparse"
-version = "0.5.3"
-description = "A non-validating SQL parser."
-optional = false
-python-versions = ">=3.8"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "sqlparse-0.5.3-py3-none-any.whl", hash = "sha256:cf2196ed3418f3ba5de6af7e82c694a9fbdbfecccdfc72e281548517081f16ca"},
-    {file = "sqlparse-0.5.3.tar.gz", hash = "sha256:09f67787f56a0b16ecdbde1bfc7f5d9c3371ca683cfeaa8e6ff60b4807ec9272"},
-]
-
-[package.extras]
-dev = ["build", "hatch"]
-doc = ["sphinx"]
-
 [[package]]
 name = "starlette"
 version = "0.41.0"
@@ -10255,22 +8418,6 @@ httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
 python-dateutil = ">=2.8.2,<3.0.0"
 typing-extensions = ">=4.2.0,<5.0.0"
 
-[[package]]
-name = "strictyaml"
-version = "1.7.3"
-description = "Strict, typed YAML parser"
-optional = false
-python-versions = ">=3.7.0"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "strictyaml-1.7.3-py3-none-any.whl", hash = "sha256:fb5c8a4edb43bebb765959e420f9b3978d7f1af88c80606c03fb420888f5d1c7"},
-    {file = "strictyaml-1.7.3.tar.gz", hash = "sha256:22f854a5fcab42b5ddba8030a0e4be51ca89af0267961c8d6cfa86395586c407"},
-]
-
-[package.dependencies]
-python-dateutil = ">=2.6.0"
-
 [[package]]
 name = "supabase"
 version = "2.8.1"
@@ -10328,35 +8475,6 @@ mpmath = ">=1.1.0,<1.4"
 [package.extras]
 dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
-[[package]]
-name = "tabulate"
-version = "0.9.0"
-description = "Pretty-print tabular data"
-optional = false
-python-versions = ">=3.7"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
-    {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
-]
-
-[package.extras]
-widechars = ["wcwidth"]
-
-[[package]]
-name = "tblib"
-version = "3.0.0"
-description = "Traceback serialization library."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tblib-3.0.0-py3-none-any.whl", hash = "sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129"},
-    {file = "tblib-3.0.0.tar.gz", hash = "sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6"},
-]
-
 [[package]]
 name = "tcvectordb"
 version = "1.3.2"
@@ -10380,7 +8498,7 @@ version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
@@ -10391,67 +8509,6 @@ files = [
 doc = ["reno", "sphinx"]
 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
-[[package]]
-name = "tencentcloud-sdk-python-common"
-version = "3.0.1298"
-description = "Tencent Cloud Common SDK for Python"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tencentcloud-sdk-python-common-3.0.1298.tar.gz", hash = "sha256:0f0f182410c1ceda5764ff8bcbef27aa6139caf1c5f5985d94ec731a41c8a59f"},
-    {file = "tencentcloud_sdk_python_common-3.0.1298-py2.py3-none-any.whl", hash = "sha256:c80929a0ff57ebee4ceec749dc82d5f2d1105b888e55175a7e9c722afc3a5d7a"},
-]
-
-[package.dependencies]
-requests = ">=2.16.0"
-
-[[package]]
-name = "tencentcloud-sdk-python-hunyuan"
-version = "3.0.1298"
-description = "Tencent Cloud Hunyuan SDK for Python"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tencentcloud-sdk-python-hunyuan-3.0.1298.tar.gz", hash = "sha256:c3d86a577de02046d25682a3804955453555fa641082bb8765238460bded3f03"},
-    {file = "tencentcloud_sdk_python_hunyuan-3.0.1298-py2.py3-none-any.whl", hash = "sha256:f01e33318b6a4152ac88c500fda77f2cda1864eeca000cdd29c41e4f92f8de65"},
-]
-
-[package.dependencies]
-tencentcloud-sdk-python-common = "3.0.1298"
-
-[[package]]
-name = "termcolor"
-version = "2.5.0"
-description = "ANSI color formatting for output in terminal"
-optional = false
-python-versions = ">=3.9"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
-    {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
-]
-
-[package.extras]
-tests = ["pytest", "pytest-cov"]
-
-[[package]]
-name = "threadpoolctl"
-version = "3.5.0"
-description = "threadpoolctl"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
-    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
-]
-
 [[package]]
 name = "tidb-vector"
 version = "0.0.9"
@@ -10520,41 +8577,6 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
-[[package]]
-name = "tinysegmenter"
-version = "0.3"
-description = "Very compact Japanese tokenizer"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tinysegmenter-0.3.tar.gz", hash = "sha256:ed1f6d2e806a4758a73be589754384cbadadc7e1a414c81a166fc9adf2d40c6d"},
-]
-
-[[package]]
-name = "tldextract"
-version = "5.1.3"
-description = "Accurately separates a URL's subdomain, domain, and public suffix, using the Public Suffix List (PSL). By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
-optional = false
-python-versions = ">=3.9"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tldextract-5.1.3-py3-none-any.whl", hash = "sha256:78de310cc2ca018692de5ddf320f9d6bd7c5cf857d0fd4f2175f0cdf4440ea75"},
-    {file = "tldextract-5.1.3.tar.gz", hash = "sha256:d43c7284c23f5dc8a42fd0fee2abede2ff74cc622674e4cb07f514ab3330c338"},
-]
-
-[package.dependencies]
-filelock = ">=3.0.8"
-idna = "*"
-requests = ">=2.1.0"
-requests-file = ">=1.4"
-
-[package.extras]
-release = ["build", "twine"]
-testing = ["mypy", "pytest", "pytest-gitignore", "pytest-mock", "responses", "ruff", "syrupy", "tox", "tox-uv", "types-filelock", "types-requests"]
-
 [[package]]
 name = "tokenizers"
 version = "0.15.2"
@@ -10809,25 +8831,6 @@ torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata",
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (<10.0.0)"]
 
-[[package]]
-name = "twilio"
-version = "9.0.5"
-description = "Twilio API client and TwiML generator"
-optional = false
-python-versions = ">=3.7.0"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "twilio-9.0.5-py2.py3-none-any.whl", hash = "sha256:5e09e910b9368f50f23cb3c3dd5ba77164d80a81e9d97db955cbac322deb2a4e"},
-    {file = "twilio-9.0.5.tar.gz", hash = "sha256:e9b5727943584d25d618fe502f0100fc5283215f31c863f80b5c64581b4702b0"},
-]
-
-[package.dependencies]
-aiohttp = ">=3.8.4"
-aiohttp-retry = ">=2.8.3"
-PyJWT = ">=2.0.0,<3.0.0"
-requests = ">=2.0.0"
-
 [[package]]
 name = "typer"
 version = "0.15.1"
@@ -10849,15 +8852,15 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-beautifulsoup4"
-version = "4.12.0.20241020"
+version = "4.12.0.20250204"
 description = "Typing stubs for beautifulsoup4"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "types-beautifulsoup4-4.12.0.20241020.tar.gz", hash = "sha256:158370d08d0cd448bd11b132a50ff5279237a5d4b5837beba074de152a513059"},
-    {file = "types_beautifulsoup4-4.12.0.20241020-py3-none-any.whl", hash = "sha256:c95e66ce15a4f5f0835f7fbc5cd886321ae8294f977c495424eaf4225307fd30"},
+    {file = "types_beautifulsoup4-4.12.0.20250204-py3-none-any.whl", hash = "sha256:57ce9e75717b63c390fd789c787d267a67eb01fa6d800a03b9bdde2e877ed1eb"},
+    {file = "types_beautifulsoup4-4.12.0.20250204.tar.gz", hash = "sha256:f083d8edcbd01279f8c3995b56cfff2d01f1bb894c3b502ba118d36fbbc495bf"},
 ]
 
 [package.dependencies]
@@ -10924,15 +8927,15 @@ files = [
 
 [[package]]
 name = "types-protobuf"
-version = "5.29.1.20241207"
+version = "5.29.1.20250208"
 description = "Typing stubs for protobuf"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "types_protobuf-5.29.1.20241207-py3-none-any.whl", hash = "sha256:92893c42083e9b718c678badc0af7a9a1307b92afe1599e5cba5f3d35b668b2f"},
-    {file = "types_protobuf-5.29.1.20241207.tar.gz", hash = "sha256:2ebcadb8ab3ef2e3e2f067e0882906d64ba0dc65fc5b0fd7a8b692315b4a0be9"},
+    {file = "types_protobuf-5.29.1.20250208-py3-none-any.whl", hash = "sha256:c5f8bfb4afdc1b5cbca1848f2c8b361a2090add7401f410b22b599ef647bf483"},
+    {file = "types_protobuf-5.29.1.20250208.tar.gz", hash = "sha256:c1acd6a59ab554dbe09b5d1fa7dd701e2fcfb2212937a3af1c03b736060b792a"},
 ]
 
 [[package]]
@@ -11019,7 +9022,7 @@ version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
+groups = ["dev"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
@@ -11064,7 +9067,7 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "lint", "storage", "tools", "vdb"]
+groups = ["main", "dev", "lint", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
@@ -11090,15 +9093,15 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2024.2"
+version = "2025.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
-    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
+    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
+    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
 ]
 
 [[package]]
@@ -11192,15 +9195,15 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.16.12"
+version = "0.16.20"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
-python-versions = "<3.13,>=3.9.0"
+python-versions = ">=3.9.0"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "unstructured-0.16.12-py3-none-any.whl", hash = "sha256:bcac29ac1b38fba4228c5a1a7721d1aa7c48220f7c1dd43b563645c56e978c49"},
-    {file = "unstructured-0.16.12.tar.gz", hash = "sha256:c3133731c6edb9c2f474e62cb2b560cd0a8d578c4532ec14d8c0941e401770b0"},
+    {file = "unstructured-0.16.20-py3-none-any.whl", hash = "sha256:9749f4310dde0973f4732ee68f9e98d4a673bb06e455e98bc9522027a99c77cd"},
+    {file = "unstructured-0.16.20.tar.gz", hash = "sha256:95e8b604fae908cfd53b5bf05c4683e0041aa6c914627bb0226edb4530bbfa44"},
 ]
 
 [package.dependencies]
@@ -11214,7 +9217,6 @@ html5lib = "*"
 langdetect = "*"
 lxml = "*"
 markdown = {version = "*", optional = true, markers = "extra == \"md\""}
-ndjson = "*"
 nltk = "*"
 numpy = "<2"
 psutil = "*"
@@ -11232,19 +9234,19 @@ unstructured-client = "*"
 wrapt = "*"
 
 [package.extras]
-all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 csv = ["pandas"]
 doc = ["python-docx (>=1.1.2)"]
 docx = ["python-docx (>=1.1.2)"]
 epub = ["pypandoc"]
 huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
-image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
-local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"]
+local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 md = ["markdown"]
 odt = ["pypandoc", "python-docx (>=1.1.2)"]
 org = ["pypandoc"]
 paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"]
-pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
+pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"]
 ppt = ["python-pptx (>=1.0.1)"]
 pptx = ["python-pptx (>=1.0.1)"]
 rst = ["pypandoc"]
@@ -11432,69 +9434,6 @@ files = [
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 ]
 
-[[package]]
-name = "vanna"
-version = "0.7.5"
-description = "Generate SQL queries from natural language"
-optional = false
-python-versions = ">=3.9"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-    {file = "vanna-0.7.5.tar.gz", hash = "sha256:2fdffc58832898e4fc8e93c45b173424db59a22773b22ca348640161d391eacf"},
-]
-
-[package.dependencies]
-clickhouse_connect = {version = "*", optional = true, markers = "extra == \"clickhouse\""}
-db-dtypes = {version = "*", optional = true, markers = "extra == \"postgres\""}
-duckdb = {version = "*", optional = true, markers = "extra == \"duckdb\""}
-flasgger = "*"
-flask = "*"
-flask-sock = "*"
-kaleido = "*"
-pandas = "*"
-plotly = "*"
-psycopg2-binary = {version = "*", optional = true, markers = "extra == \"postgres\""}
-PyMySQL = {version = "*", optional = true, markers = "extra == \"mysql\""}
-requests = "*"
-sqlalchemy = "*"
-sqlparse = "*"
-tabulate = "*"
-
-[package.extras]
-all = ["PyMySQL", "anthropic", "azure-common", "azure-identity", "azure-search-documents", "boto", "boto3", "botocore", "chromadb", "db-dtypes", "duckdb", "faiss-cpu", "fastembed", "google-cloud-aiplatform", "google-cloud-bigquery", "google-generativeai", "httpx", "langchain_core", "langchain_postgres", "marqo", "mistralai (>=1.0.0)", "ollama", "openai", "opensearch-dsl", "opensearch-py", "pinecone-client", "psycopg2-binary", "pymilvus[model]", "qdrant-client", "qianfan", "snowflake-connector-python", "transformers", "weaviate-client", "xinference-client", "zhipuai"]
-anthropic = ["anthropic"]
-azuresearch = ["azure-common", "azure-identity", "azure-search-documents", "fastembed"]
-bedrock = ["boto3", "botocore"]
-bigquery = ["google-cloud-bigquery"]
-chromadb = ["chromadb"]
-clickhouse = ["clickhouse_connect"]
-duckdb = ["duckdb"]
-faiss-cpu = ["faiss-cpu"]
-faiss-gpu = ["faiss-gpu"]
-gemini = ["google-generativeai"]
-google = ["google-cloud-aiplatform", "google-generativeai"]
-hf = ["transformers"]
-marqo = ["marqo"]
-milvus = ["pymilvus[model]"]
-mistralai = ["mistralai (>=1.0.0)"]
-mysql = ["PyMySQL"]
-ollama = ["httpx", "ollama"]
-openai = ["openai"]
-opensearch = ["opensearch-dsl", "opensearch-py"]
-pgvector = ["langchain-postgres (>=0.0.12)"]
-pinecone = ["fastembed", "pinecone-client"]
-postgres = ["db-dtypes", "psycopg2-binary"]
-qdrant = ["fastembed", "qdrant-client"]
-qianfan = ["qianfan"]
-snowflake = ["snowflake-connector-python"]
-test = ["tox"]
-vllm = ["vllm"]
-weaviate = ["weaviate-client"]
-xinference-client = ["xinference-client"]
-zhipuai = ["zhipuai"]
-
 [[package]]
 name = "vine"
 version = "5.1.0"
@@ -11530,110 +9469,86 @@ requests = ">=2.25.1"
 retry = ">=0.9.2"
 six = ">=1.0"
 
-[[package]]
-name = "volcengine-python-sdk"
-version = "1.0.103"
-description = "Volcengine SDK for Python"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
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-]
-
-[package.dependencies]
-anyio = {version = ">=3.5.0,<5", optional = true, markers = "extra == \"ark\""}
-certifi = ">=2017.4.17"
-httpx = {version = ">=0.23.0,<1", optional = true, markers = "extra == \"ark\""}
-pydantic = {version = ">=1.9.0,<3", optional = true, markers = "extra == \"ark\""}
-python-dateutil = ">=2.1"
-six = ">=1.10"
-urllib3 = ">=1.23"
-
-[package.extras]
-ark = ["anyio (>=3.5.0,<5)", "cached-property", "httpx (>=0.23.0,<1)", "pydantic (>=1.9.0,<3)"]
-
 [[package]]
 name = "watchfiles"
-version = "1.0.3"
+version = "1.0.4"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
 groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 [package.dependencies]
@@ -11680,7 +9595,7 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
-groups = ["main", "tools"]
+groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
@@ -11689,117 +9604,100 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.7.0"
+version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "vdb"]
+groups = ["vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
+    {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
 [[package]]
 name = "websockets"
-version = "13.1"
+version = "14.2"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["storage", "vdb"]
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 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "tools"]
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 [package.extras]
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 ]
 
-[[package]]
-name = "wsproto"
-version = "1.2.0"
-description = "WebSockets state-machine based protocol implementation"
-optional = false
-python-versions = ">=3.7.0"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
-    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
-]
-
-[package.dependencies]
-h11 = ">=0.9.0,<1"
-
-[[package]]
-name = "xinference-client"
-version = "0.15.2"
-description = "Client for Xinference"
-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "xinference-client-0.15.2.tar.gz", hash = "sha256:5c2259bb133148d1cc9bd2b8ec6eb8b5bbeba7f11d6252959f4e6cd79baa53ed"},
-    {file = "xinference_client-0.15.2-py3-none-any.whl", hash = "sha256:b6275adab695e75e75a33e21e0ad212488fc2d5a4d0f693d544c0e78469abbe3"},
-]
-
-[package.dependencies]
-pydantic = "*"
-requests = "*"
-typing-extensions = "*"
-
-[package.extras]
-dev = ["black", "cython (>=0.29)", "flake8 (>=3.8.0)", "ipython (>=6.5.0)", "pytest (>=3.5.0)", "pytest-asyncio (>=0.14.0)", "pytest-cov (>=2.5.0)", "pytest-forked (>=1.0)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=1.2.0)"]
-
 [[package]]
 name = "xlrd"
 version = "2.0.1"
@@ -11986,15 +9829,15 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "xlsxwriter"
-version = "3.2.0"
+version = "3.2.2"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
-    {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
+    {file = "XlsxWriter-3.2.2-py3-none-any.whl", hash = "sha256:272ce861e7fa5e82a4a6ebc24511f2cb952fde3461f6c6e1a1e81d3272db1471"},
+    {file = "xlsxwriter-3.2.2.tar.gz", hash = "sha256:befc7f92578a85fed261639fb6cde1fd51b79c5e854040847dde59d4317077dc"},
 ]
 
 [[package]]
@@ -12016,7 +9859,7 @@ version = "1.18.3"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "storage", "tools", "vdb"]
+groups = ["main", "storage", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
@@ -12108,73 +9951,6 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.0"
 
-[[package]]
-name = "yfinance"
-version = "0.2.51"
-description = "Download market data from Yahoo! Finance API"
-optional = false
-python-versions = "*"
-groups = ["tools"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "yfinance-0.2.51-py2.py3-none-any.whl", hash = "sha256:d5cc7a970bb4bb43e4deee853514cbaa3c2b070a0dee6b2861c1ab5076f21dc1"},
-    {file = "yfinance-0.2.51.tar.gz", hash = "sha256:7902cc9b23699a51efa50f1cc7a965220a56beccc00d189f929b4c7c5c189a60"},
-]
-
-[package.dependencies]
-beautifulsoup4 = ">=4.11.1"
-frozendict = ">=2.3.4"
-html5lib = ">=1.1"
-lxml = ">=4.9.1"
-multitasking = ">=0.0.7"
-numpy = ">=1.16.5"
-pandas = ">=1.3.0"
-peewee = ">=3.16.2"
-platformdirs = ">=2.0.0"
-pytz = ">=2022.5"
-requests = ">=2.31"
-
-[package.extras]
-nospam = ["requests_cache (>=1.0)", "requests_ratelimiter (>=0.3.1)"]
-repair = ["scipy (>=1.6.3)"]
-
-[[package]]
-name = "youtube-transcript-api"
-version = "0.6.3"
-description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
-optional = false
-python-versions = "<3.14,>=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "youtube_transcript_api-0.6.3-py3-none-any.whl", hash = "sha256:297a74c1863d9df88f6885229f33a7eda61493d73ecb13ec80e876b65423e9b4"},
-    {file = "youtube_transcript_api-0.6.3.tar.gz", hash = "sha256:4d1f6451ae508390a5279f98519efb45e091bf60d3cca5ea0bb122800ab6a011"},
-]
-
-[package.dependencies]
-defusedxml = ">=0.7.1,<0.8.0"
-requests = "*"
-
-[[package]]
-name = "zhipuai"
-version = "2.1.5.20250106"
-description = "A SDK library for accessing big model apis from ZhipuAI"
-optional = false
-python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "zhipuai-2.1.5.20250106-py3-none-any.whl", hash = "sha256:ca76095f32db501e36038fc1ac4b287b88ed90c4cdd28902d3b1a9365fff879b"},
-    {file = "zhipuai-2.1.5.20250106.tar.gz", hash = "sha256:45d391be336a210b360f126443f07882fa6d8184a148c46a8c7d0b7607d6d1f8"},
-]
-
-[package.dependencies]
-cachetools = ">=4.2.2"
-httpx = ">=0.23.0"
-pydantic = ">=1.9.0,<3.0"
-pydantic-core = ">=2.14.6"
-pyjwt = ">=2.8.0,<2.9.0"
-
 [[package]]
 name = "zipp"
 version = "3.21.0"
@@ -12278,7 +10054,7 @@ version = "0.23.0"
 description = "Zstandard bindings for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "tools", "vdb"]
+groups = ["main", "vdb"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"},
@@ -12389,4 +10165,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "d197cdff507a70323c1d6aca11609188f54970f67715af744fe6def15b7776fd"
+content-hash = "7bb979b6667b099ad0ba75a9cad287409c6d7739b595c05197581ad1c0d702ce"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 72ec6d287e..937f5940ad 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -15,10 +15,7 @@ package-mode = false
 ############################################################
 
 [tool.poetry.dependencies]
-anthropic = "~0.23.1"
 authlib = "1.3.1"
-azure-ai-inference = "~1.0.0b8"
-azure-ai-ml = "~1.20.0"
 azure-identity = "1.16.1"
 beautifulsoup4 = "4.12.2"
 boto3 = "1.36.12"
@@ -26,9 +23,6 @@ bs4 = "~0.0.1"
 cachetools = "~5.3.0"
 celery = "~5.4.0"
 chardet = "~5.1.0"
-cohere = "~5.2.4"
-dashscope = { version = "~1.17.0", extras = ["tokenizer"] }
-fal-client = "0.5.6"
 flask = "~3.1.0"
 flask-compress = "~1.17"
 flask-cors = "~4.0.0"
@@ -38,24 +32,19 @@ flask-restful = "~0.3.10"
 flask-sqlalchemy = "~3.1.1"
 gevent = "~24.11.1"
 gmpy2 = "~2.2.1"
-google-ai-generativelanguage = "0.6.9"
 google-api-core = "2.18.0"
 google-api-python-client = "2.90.0"
 google-auth = "2.29.0"
 google-auth-httplib2 = "0.2.0"
 google-cloud-aiplatform = "1.49.0"
-google-generativeai = "0.8.1"
 googleapis-common-protos = "1.63.0"
 gunicorn = "~23.0.0"
 httpx = { version = "~0.27.0", extras = ["socks"] }
-huggingface-hub = "~0.16.4"
 jieba = "0.42.1"
 langfuse = "~2.51.3"
 langsmith = "~0.1.77"
 mailchimp-transactional = "~1.0.50"
 markdown = "~3.5.1"
-nomic = "~3.1.2"
-novita-client = "~0.5.7"
 numpy = "~1.26.4"
 oci = "~2.135.1"
 openai = "~1.61.0"
@@ -77,25 +66,16 @@ python-dotenv = "1.0.1"
 pyyaml = "~6.0.1"
 readabilipy = "0.2.0"
 redis = { version = "~5.0.3", extras = ["hiredis"] }
-replicate = "~0.22.0"
 resend = "~0.7.0"
-sagemaker = "~2.231.0"
-scikit-learn = "~1.5.1"
 sentry-sdk = { version = "~1.44.1", extras = ["flask"] }
 sqlalchemy = "~2.0.29"
 starlette = "0.41.0"
-tencentcloud-sdk-python-hunyuan = "~3.0.1294"
 tiktoken = "~0.8.0"
 tokenizers = "~0.15.0"
 transformers = "~4.35.0"
 unstructured = { version = "~0.16.1", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] }
 validators = "0.21.0"
-volcengine-python-sdk = {extras = ["ark"], version = "~1.0.98"}
-websocket-client = "~1.7.0"
-xinference-client = "0.15.2"
 yarl = "~1.18.3"
-youtube-transcript-api = "~0.6.2"
-zhipuai = "~2.1.5"
 # Before adding new dependency, consider place it in alphabet order (a-z) and suitable group.
 
 ############################################################
@@ -112,21 +92,8 @@ safetensors = "~0.4.3"
 # [ Tools ] dependency group
 ############################################################
 [tool.poetry.group.tools.dependencies]
-arxiv = "2.1.0"
 cloudscraper = "1.2.71"
-duckduckgo-search = "~6.3.0"
-jsonpath-ng = "1.6.1"
-matplotlib = "~3.8.2"
-mplfonts = "~0.0.8"
-newspaper3k = "0.2.8"
 nltk = "3.9.1"
-numexpr = "~2.9.0"
-pydub = "~0.25.1"
-qrcode = "~7.4.2"
-twilio = "~9.0.4"
-vanna = { version = "0.7.5", extras = ["postgres", "mysql", "clickhouse", "duckdb", "oracle"] }
-wikipedia = "1.4.0"
-yfinance = "~0.2.40"
 
 ############################################################
 # [ Storage ] dependency group
diff --git a/api/pytest.ini b/api/pytest.ini
index 993da4c9a7..5e4636fa93 100644
--- a/api/pytest.ini
+++ b/api/pytest.ini
@@ -7,6 +7,12 @@ env =
     CODE_EXECUTION_API_KEY = dify-sandbox
     CODE_EXECUTION_ENDPOINT = http://127.0.0.1:8194
     CODE_MAX_STRING_LENGTH = 80000
+    PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
+    PLUGIN_DAEMON_URL=http://127.0.0.1:5002
+    PLUGIN_MAX_PACKAGE_SIZE=15728640
+    INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+    MARKETPLACE_ENABLED=true
+    MARKETPLACE_API_URL=https://marketplace.dify.ai
     FIRECRAWL_API_KEY = fc-
     FIREWORKS_API_KEY = fw_aaaaaaaaaaaaaaaaaaaa
     GOOGLE_API_KEY = abcdefghijklmnopqrstuvwxyz
diff --git a/api/services/account_service.py b/api/services/account_service.py
index 5388e1878e..2923750298 100644
--- a/api/services/account_service.py
+++ b/api/services/account_service.py
@@ -10,6 +10,7 @@ from typing import Any, Optional, cast
 
 from pydantic import BaseModel
 from sqlalchemy import func
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import Unauthorized
 
 from configs import dify_config
@@ -101,7 +102,7 @@ class AccountService:
 
     @staticmethod
     def load_user(user_id: str) -> None | Account:
-        account = Account.query.filter_by(id=user_id).first()
+        account = db.session.query(Account).filter_by(id=user_id).first()
         if not account:
             return None
 
@@ -146,7 +147,7 @@ class AccountService:
     def authenticate(email: str, password: str, invite_token: Optional[str] = None) -> Account:
         """authenticate account with email and password"""
 
-        account = Account.query.filter_by(email=email).first()
+        account = db.session.query(Account).filter_by(email=email).first()
         if not account:
             raise AccountNotFoundError()
 
@@ -924,11 +925,14 @@ class RegisterService:
 
     @classmethod
     def invite_new_member(
-        cls, tenant: Tenant, email: str, language: str, role: str = "normal", inviter: Optional[Account] = None
+        cls, tenant: Tenant, email: str, language: str, role: str = "normal", inviter: Account | None = None
     ) -> str:
+        if not inviter:
+            raise ValueError("Inviter is required")
+
         """Invite new member"""
-        account = Account.query.filter_by(email=email).first()
-        assert inviter is not None, "Inviter must be provided."
+        with Session(db.engine) as session:
+            account = session.query(Account).filter_by(email=email).first()
 
         if not account:
             TenantService.check_member_permission(tenant, inviter, None, "add")
diff --git a/api/services/agent_service.py b/api/services/agent_service.py
index b02f762ad2..0ff144052f 100644
--- a/api/services/agent_service.py
+++ b/api/services/agent_service.py
@@ -1,9 +1,13 @@
+import threading
 from typing import Optional
 
 import pytz
 from flask_login import current_user  # type: ignore
 
+import contexts
 from core.app.app_config.easy_ui_based_app.agent.manager import AgentConfigManager
+from core.plugin.manager.agent import PluginAgentManager
+from core.plugin.manager.exc import PluginDaemonClientSideError
 from core.tools.tool_manager import ToolManager
 from extensions.ext_database import db
 from models.account import Account
@@ -16,7 +20,10 @@ class AgentService:
         """
         Service to get agent logs
         """
-        conversation: Optional[Conversation] = (
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
+
+        conversation: Conversation | None = (
             db.session.query(Conversation)
             .filter(
                 Conversation.id == conversation_id,
@@ -59,6 +66,10 @@ class AgentService:
 
         timezone = pytz.timezone(current_user.timezone)
 
+        app_model_config = app_model.app_model_config
+        if not app_model_config:
+            raise ValueError("App model config not found")
+
         result = {
             "meta": {
                 "status": "success",
@@ -66,16 +77,16 @@ class AgentService:
                 "start_time": message.created_at.astimezone(timezone).isoformat(),
                 "elapsed_time": message.provider_response_latency,
                 "total_tokens": message.answer_tokens + message.message_tokens,
-                "agent_mode": app_model.app_model_config.agent_mode_dict.get("strategy", "react"),
+                "agent_mode": app_model_config.agent_mode_dict.get("strategy", "react"),
                 "iterations": len(agent_thoughts),
             },
             "iterations": [],
             "files": message.message_files,
         }
 
-        agent_config = AgentConfigManager.convert(app_model.app_model_config.to_dict())
+        agent_config = AgentConfigManager.convert(app_model_config.to_dict())
         if not agent_config:
-            return result
+            raise ValueError("Agent config not found")
 
         agent_tools = agent_config.tools or []
 
@@ -89,7 +100,7 @@ class AgentService:
             tool_labels = agent_thought.tool_labels
             tool_meta = agent_thought.tool_meta
             tool_inputs = agent_thought.tool_inputs_dict
-            tool_outputs = agent_thought.tool_outputs_dict
+            tool_outputs = agent_thought.tool_outputs_dict or {}
             tool_calls = []
             for tool in tools:
                 tool_name = tool
@@ -144,3 +155,22 @@ class AgentService:
             )
 
         return result
+
+    @classmethod
+    def list_agent_providers(cls, user_id: str, tenant_id: str):
+        """
+        List agent providers
+        """
+        manager = PluginAgentManager()
+        return manager.fetch_agent_strategy_providers(tenant_id)
+
+    @classmethod
+    def get_agent_provider(cls, user_id: str, tenant_id: str, provider_name: str):
+        """
+        Get agent provider
+        """
+        manager = PluginAgentManager()
+        try:
+            return manager.fetch_agent_strategy_provider(tenant_id, provider_name)
+        except PluginDaemonClientSideError as e:
+            raise ValueError(str(e)) from e
diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py
index 15119247f8..4ddb56981e 100644
--- a/api/services/app_dsl_service.py
+++ b/api/services/app_dsl_service.py
@@ -1,5 +1,6 @@
 import logging
 import uuid
+from collections.abc import Mapping
 from enum import StrEnum
 from typing import Optional
 from urllib.parse import urlparse
@@ -7,22 +8,34 @@ from uuid import uuid4
 
 import yaml  # type: ignore
 from packaging import version
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from core.helper import ssrf_proxy
+from core.model_runtime.utils.encoders import jsonable_encoder
+from core.plugin.entities.plugin import PluginDependency
+from core.workflow.nodes.enums import NodeType
+from core.workflow.nodes.knowledge_retrieval.entities import KnowledgeRetrievalNodeData
+from core.workflow.nodes.llm.entities import LLMNodeData
+from core.workflow.nodes.parameter_extractor.entities import ParameterExtractorNodeData
+from core.workflow.nodes.question_classifier.entities import QuestionClassifierNodeData
+from core.workflow.nodes.tool.entities import ToolNodeData
 from events.app_event import app_model_config_was_updated, app_was_created
 from extensions.ext_redis import redis_client
 from factories import variable_factory
 from models import Account, App, AppMode
 from models.model import AppModelConfig
+from models.workflow import Workflow
+from services.plugin.dependencies_analysis import DependenciesAnalysisService
 from services.workflow_service import WorkflowService
 
 logger = logging.getLogger(__name__)
 
 IMPORT_INFO_REDIS_KEY_PREFIX = "app_import_info:"
-IMPORT_INFO_REDIS_EXPIRY = 180  # 3 minutes
+CHECK_DEPENDENCIES_REDIS_KEY_PREFIX = "app_check_dependencies:"
+IMPORT_INFO_REDIS_EXPIRY = 10 * 60  # 10 minutes
+DSL_MAX_SIZE = 10 * 1024 * 1024  # 10MB
 CURRENT_DSL_VERSION = "0.1.5"
 
 
@@ -47,6 +60,10 @@ class Import(BaseModel):
     error: str = ""
 
 
+class CheckDependenciesResult(BaseModel):
+    leaked_dependencies: list[PluginDependency] = Field(default_factory=list)
+
+
 def _check_version_compatibility(imported_version: str) -> ImportStatus:
     """Determine import status based on version comparison"""
     try:
@@ -76,6 +93,11 @@ class PendingData(BaseModel):
     app_id: str | None
 
 
+class CheckDependenciesPendingData(BaseModel):
+    dependencies: list[PluginDependency]
+    app_id: str | None
+
+
 class AppDslService:
     def __init__(self, session: Session):
         self._session = session
@@ -113,7 +135,6 @@ class AppDslService:
                     error="yaml_url is required when import_mode is yaml-url",
                 )
             try:
-                max_size = 10 * 1024 * 1024  # 10MB
                 parsed_url = urlparse(yaml_url)
                 if (
                     parsed_url.scheme == "https"
@@ -126,7 +147,7 @@ class AppDslService:
                 response.raise_for_status()
                 content = response.content.decode()
 
-                if len(content) > max_size:
+                if len(content) > DSL_MAX_SIZE:
                     return Import(
                         id=import_id,
                         status=ImportStatus.FAILED,
@@ -208,7 +229,7 @@ class AppDslService:
 
             # If major version mismatch, store import info in Redis
             if status == ImportStatus.PENDING:
-                panding_data = PendingData(
+                pending_data = PendingData(
                     import_mode=import_mode,
                     yaml_content=content,
                     name=name,
@@ -221,7 +242,7 @@ class AppDslService:
                 redis_client.setex(
                     f"{IMPORT_INFO_REDIS_KEY_PREFIX}{import_id}",
                     IMPORT_INFO_REDIS_EXPIRY,
-                    panding_data.model_dump_json(),
+                    pending_data.model_dump_json(),
                 )
 
                 return Import(
@@ -231,6 +252,22 @@ class AppDslService:
                     imported_dsl_version=imported_version,
                 )
 
+            # Extract dependencies
+            dependencies = data.get("dependencies", [])
+            check_dependencies_pending_data = None
+            if dependencies:
+                check_dependencies_pending_data = [PluginDependency.model_validate(d) for d in dependencies]
+            elif imported_version <= "0.1.5":
+                if "workflow" in data:
+                    graph = data.get("workflow", {}).get("graph", {})
+                    dependencies_list = self._extract_dependencies_from_workflow_graph(graph)
+                else:
+                    dependencies_list = self._extract_dependencies_from_model_config(data.get("model_config", {}))
+
+                check_dependencies_pending_data = DependenciesAnalysisService.generate_latest_dependencies(
+                    dependencies_list
+                )
+
             # Create or update app
             app = self._create_or_update_app(
                 app=app,
@@ -241,6 +278,7 @@ class AppDslService:
                 icon_type=icon_type,
                 icon=icon,
                 icon_background=icon_background,
+                dependencies=check_dependencies_pending_data,
             )
 
             return Import(
@@ -325,6 +363,29 @@ class AppDslService:
                 error=str(e),
             )
 
+    def check_dependencies(
+        self,
+        *,
+        app_model: App,
+    ) -> CheckDependenciesResult:
+        """Check dependencies"""
+        # Get dependencies from Redis
+        redis_key = f"{CHECK_DEPENDENCIES_REDIS_KEY_PREFIX}{app_model.id}"
+        dependencies = redis_client.get(redis_key)
+        if not dependencies:
+            return CheckDependenciesResult()
+
+        # Extract dependencies
+        dependencies = CheckDependenciesPendingData.model_validate_json(dependencies)
+
+        # Get leaked dependencies
+        leaked_dependencies = DependenciesAnalysisService.get_leaked_dependencies(
+            tenant_id=app_model.tenant_id, dependencies=dependencies.dependencies
+        )
+        return CheckDependenciesResult(
+            leaked_dependencies=leaked_dependencies,
+        )
+
     def _create_or_update_app(
         self,
         *,
@@ -336,6 +397,7 @@ class AppDslService:
         icon_type: Optional[str] = None,
         icon: Optional[str] = None,
         icon_background: Optional[str] = None,
+        dependencies: Optional[list[PluginDependency]] = None,
     ) -> App:
         """Create a new app or update an existing one."""
         app_data = data.get("app", {})
@@ -384,6 +446,14 @@ class AppDslService:
             self._session.commit()
             app_was_created.send(app, account=account)
 
+        # save dependencies
+        if dependencies:
+            redis_client.setex(
+                f"{CHECK_DEPENDENCIES_REDIS_KEY_PREFIX}{app.id}",
+                IMPORT_INFO_REDIS_EXPIRY,
+                CheckDependenciesPendingData(app_id=app.id, dependencies=dependencies).model_dump_json(),
+            )
+
         # Initialize app based on mode
         if app_mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
             workflow_data = data.get("workflow")
@@ -479,6 +549,13 @@ class AppDslService:
             raise ValueError("Missing draft workflow configuration, please check.")
 
         export_data["workflow"] = workflow.to_dict(include_secret=include_secret)
+        dependencies = cls._extract_dependencies_from_workflow(workflow)
+        export_data["dependencies"] = [
+            jsonable_encoder(d.model_dump())
+            for d in DependenciesAnalysisService.generate_dependencies(
+                tenant_id=app_model.tenant_id, dependencies=dependencies
+            )
+        ]
 
     @classmethod
     def _append_model_config_export_data(cls, export_data: dict, app_model: App) -> None:
@@ -492,3 +569,154 @@ class AppDslService:
             raise ValueError("Missing app configuration, please check.")
 
         export_data["model_config"] = app_model_config.to_dict()
+        dependencies = cls._extract_dependencies_from_model_config(app_model_config.to_dict())
+        export_data["dependencies"] = [
+            jsonable_encoder(d.model_dump())
+            for d in DependenciesAnalysisService.generate_dependencies(
+                tenant_id=app_model.tenant_id, dependencies=dependencies
+            )
+        ]
+
+    @classmethod
+    def _extract_dependencies_from_workflow(cls, workflow: Workflow) -> list[str]:
+        """
+        Extract dependencies from workflow
+        :param workflow: Workflow instance
+        :return: dependencies list format like ["langgenius/google"]
+        """
+        graph = workflow.graph_dict
+        dependencies = cls._extract_dependencies_from_workflow_graph(graph)
+        return dependencies
+
+    @classmethod
+    def _extract_dependencies_from_workflow_graph(cls, graph: Mapping) -> list[str]:
+        """
+        Extract dependencies from workflow graph
+        :param graph: Workflow graph
+        :return: dependencies list format like ["langgenius/google"]
+        """
+        dependencies = []
+        for node in graph.get("nodes", []):
+            try:
+                typ = node.get("data", {}).get("type")
+                match typ:
+                    case NodeType.TOOL.value:
+                        tool_entity = ToolNodeData(**node["data"])
+                        dependencies.append(
+                            DependenciesAnalysisService.analyze_tool_dependency(tool_entity.provider_id),
+                        )
+                    case NodeType.LLM.value:
+                        llm_entity = LLMNodeData(**node["data"])
+                        dependencies.append(
+                            DependenciesAnalysisService.analyze_model_provider_dependency(llm_entity.model.provider),
+                        )
+                    case NodeType.QUESTION_CLASSIFIER.value:
+                        question_classifier_entity = QuestionClassifierNodeData(**node["data"])
+                        dependencies.append(
+                            DependenciesAnalysisService.analyze_model_provider_dependency(
+                                question_classifier_entity.model.provider
+                            ),
+                        )
+                    case NodeType.PARAMETER_EXTRACTOR.value:
+                        parameter_extractor_entity = ParameterExtractorNodeData(**node["data"])
+                        dependencies.append(
+                            DependenciesAnalysisService.analyze_model_provider_dependency(
+                                parameter_extractor_entity.model.provider
+                            ),
+                        )
+                    case NodeType.KNOWLEDGE_RETRIEVAL.value:
+                        knowledge_retrieval_entity = KnowledgeRetrievalNodeData(**node["data"])
+                        if knowledge_retrieval_entity.retrieval_mode == "multiple":
+                            if knowledge_retrieval_entity.multiple_retrieval_config:
+                                if (
+                                    knowledge_retrieval_entity.multiple_retrieval_config.reranking_mode
+                                    == "reranking_model"
+                                ):
+                                    if knowledge_retrieval_entity.multiple_retrieval_config.reranking_model:
+                                        dependencies.append(
+                                            DependenciesAnalysisService.analyze_model_provider_dependency(
+                                                knowledge_retrieval_entity.multiple_retrieval_config.reranking_model.provider
+                                            ),
+                                        )
+                                elif (
+                                    knowledge_retrieval_entity.multiple_retrieval_config.reranking_mode
+                                    == "weighted_score"
+                                ):
+                                    if knowledge_retrieval_entity.multiple_retrieval_config.weights:
+                                        vector_setting = (
+                                            knowledge_retrieval_entity.multiple_retrieval_config.weights.vector_setting
+                                        )
+                                        dependencies.append(
+                                            DependenciesAnalysisService.analyze_model_provider_dependency(
+                                                vector_setting.embedding_provider_name
+                                            ),
+                                        )
+                        elif knowledge_retrieval_entity.retrieval_mode == "single":
+                            model_config = knowledge_retrieval_entity.single_retrieval_config
+                            if model_config:
+                                dependencies.append(
+                                    DependenciesAnalysisService.analyze_model_provider_dependency(
+                                        model_config.model.provider
+                                    ),
+                                )
+                    case _:
+                        # TODO: Handle default case or unknown node types
+                        pass
+            except Exception as e:
+                logger.exception("Error extracting node dependency", exc_info=e)
+
+        return dependencies
+
+    @classmethod
+    def _extract_dependencies_from_model_config(cls, model_config: Mapping) -> list[str]:
+        """
+        Extract dependencies from model config
+        :param model_config: model config dict
+        :return: dependencies list format like ["langgenius/google"]
+        """
+        dependencies = []
+
+        try:
+            # completion model
+            model_dict = model_config.get("model", {})
+            if model_dict:
+                dependencies.append(
+                    DependenciesAnalysisService.analyze_model_provider_dependency(model_dict.get("provider", ""))
+                )
+
+            # reranking model
+            dataset_configs = model_config.get("dataset_configs", {})
+            if dataset_configs:
+                for dataset_config in dataset_configs.get("datasets", {}).get("datasets", []):
+                    if dataset_config.get("reranking_model"):
+                        dependencies.append(
+                            DependenciesAnalysisService.analyze_model_provider_dependency(
+                                dataset_config.get("reranking_model", {})
+                                .get("reranking_provider_name", {})
+                                .get("provider")
+                            )
+                        )
+
+            # tools
+            agent_configs = model_config.get("agent_mode", {})
+            if agent_configs:
+                for agent_config in agent_configs.get("tools", []):
+                    dependencies.append(
+                        DependenciesAnalysisService.analyze_tool_dependency(agent_config.get("provider_id"))
+                    )
+
+        except Exception as e:
+            logger.exception("Error extracting model config dependency", exc_info=e)
+
+        return dependencies
+
+    @classmethod
+    def get_leaked_dependencies(cls, tenant_id: str, dsl_dependencies: list[dict]) -> list[PluginDependency]:
+        """
+        Returns the leaked dependencies in current workspace
+        """
+        dependencies = [PluginDependency(**dep) for dep in dsl_dependencies]
+        if not dependencies:
+            return []
+
+        return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dependencies)
diff --git a/api/services/app_generate_service.py b/api/services/app_generate_service.py
index 51aef7ccab..39b4afa252 100644
--- a/api/services/app_generate_service.py
+++ b/api/services/app_generate_service.py
@@ -43,66 +43,62 @@ class AppGenerateService:
             request_id = rate_limit.enter(request_id)
             if app_model.mode == AppMode.COMPLETION.value:
                 return rate_limit.generate(
-                    generator=CompletionAppGenerator().generate(
-                        app_model=app_model,
-                        user=user,
-                        args=args,
-                        invoke_from=invoke_from,
-                        streaming=streaming,
+                    CompletionAppGenerator.convert_to_event_stream(
+                        CompletionAppGenerator().generate(
+                            app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming
+                        ),
                     ),
                     request_id=request_id,
                 )
             elif app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent:
-                generator = AgentChatAppGenerator().generate(
-                    app_model=app_model,
-                    user=user,
-                    args=args,
-                    invoke_from=invoke_from,
-                    streaming=streaming,
-                )
                 return rate_limit.generate(
-                    generator=generator,
-                    request_id=request_id,
+                    AgentChatAppGenerator.convert_to_event_stream(
+                        AgentChatAppGenerator().generate(
+                            app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming
+                        ),
+                    ),
+                    request_id,
                 )
             elif app_model.mode == AppMode.CHAT.value:
                 return rate_limit.generate(
-                    generator=ChatAppGenerator().generate(
-                        app_model=app_model,
-                        user=user,
-                        args=args,
-                        invoke_from=invoke_from,
-                        streaming=streaming,
+                    ChatAppGenerator.convert_to_event_stream(
+                        ChatAppGenerator().generate(
+                            app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming
+                        ),
                     ),
                     request_id=request_id,
                 )
             elif app_model.mode == AppMode.ADVANCED_CHAT.value:
                 workflow = cls._get_workflow(app_model, invoke_from)
                 return rate_limit.generate(
-                    generator=AdvancedChatAppGenerator().generate(
-                        app_model=app_model,
-                        workflow=workflow,
-                        user=user,
-                        args=args,
-                        invoke_from=invoke_from,
-                        streaming=streaming,
+                    AdvancedChatAppGenerator.convert_to_event_stream(
+                        AdvancedChatAppGenerator().generate(
+                            app_model=app_model,
+                            workflow=workflow,
+                            user=user,
+                            args=args,
+                            invoke_from=invoke_from,
+                            streaming=streaming,
+                        ),
                     ),
                     request_id=request_id,
                 )
             elif app_model.mode == AppMode.WORKFLOW.value:
                 workflow = cls._get_workflow(app_model, invoke_from)
-                generator = WorkflowAppGenerator().generate(
-                    app_model=app_model,
-                    workflow=workflow,
-                    user=user,
-                    args=args,
-                    invoke_from=invoke_from,
-                    streaming=streaming,
-                    call_depth=0,
-                    workflow_thread_pool_id=None,
-                )
                 return rate_limit.generate(
-                    generator=generator,
-                    request_id=request_id,
+                    WorkflowAppGenerator.convert_to_event_stream(
+                        WorkflowAppGenerator().generate(
+                            app_model=app_model,
+                            workflow=workflow,
+                            user=user,
+                            args=args,
+                            invoke_from=invoke_from,
+                            streaming=streaming,
+                            call_depth=0,
+                            workflow_thread_pool_id=None,
+                        ),
+                    ),
+                    request_id,
                 )
             else:
                 raise ValueError(f"Invalid app mode {app_model.mode}")
@@ -126,18 +122,17 @@ class AppGenerateService:
     def generate_single_iteration(cls, app_model: App, user: Account, node_id: str, args: Any, streaming: bool = True):
         if app_model.mode == AppMode.ADVANCED_CHAT.value:
             workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER)
-            return AdvancedChatAppGenerator().single_iteration_generate(
-                app_model=app_model,
-                workflow=workflow,
-                node_id=node_id,
-                user=user,
-                args=args,
-                streaming=streaming,
+            return AdvancedChatAppGenerator.convert_to_event_stream(
+                AdvancedChatAppGenerator().single_iteration_generate(
+                    app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming
+                )
             )
         elif app_model.mode == AppMode.WORKFLOW.value:
             workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER)
-            return WorkflowAppGenerator().single_iteration_generate(
-                app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming
+            return AdvancedChatAppGenerator.convert_to_event_stream(
+                WorkflowAppGenerator().single_iteration_generate(
+                    app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming
+                )
             )
         else:
             raise ValueError(f"Invalid app mode {app_model.mode}")
diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py
index 38025b5213..79961533b0 100644
--- a/api/services/dataset_service.py
+++ b/api/services/dataset_service.py
@@ -9,9 +9,11 @@ from typing import Any, Optional
 
 from flask_login import current_user  # type: ignore
 from sqlalchemy import func
+from sqlalchemy.orm import Session
 from werkzeug.exceptions import NotFound
 
 from configs import dify_config
+from core.entities import DEFAULT_PLUGIN_ID
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
@@ -268,7 +270,15 @@ class DatasetService:
             external_knowledge_api_id = data.get("external_knowledge_api_id", None)
             if not external_knowledge_api_id:
                 raise ValueError("External knowledge api id is required.")
-            external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by(dataset_id=dataset_id).first()
+
+            with Session(db.engine) as session:
+                external_knowledge_binding = (
+                    session.query(ExternalKnowledgeBindings).filter_by(dataset_id=dataset_id).first()
+                )
+
+                if not external_knowledge_binding:
+                    raise ValueError("External knowledge binding not found.")
+
             if (
                 external_knowledge_binding.external_knowledge_id != external_knowledge_id
                 or external_knowledge_binding.external_knowledge_api_id != external_knowledge_api_id
@@ -316,8 +326,19 @@ class DatasetService:
                     except ProviderTokenNotInitError as ex:
                         raise ValueError(ex.description)
             else:
+                # add default plugin id to both setting sets, to make sure the plugin model provider is consistent
+                plugin_model_provider = dataset.embedding_model_provider
+                if "/" not in plugin_model_provider:
+                    plugin_model_provider = f"{DEFAULT_PLUGIN_ID}/{plugin_model_provider}/{plugin_model_provider}"
+
+                new_plugin_model_provider = data["embedding_model_provider"]
+                if "/" not in new_plugin_model_provider:
+                    new_plugin_model_provider = (
+                        f"{DEFAULT_PLUGIN_ID}/{new_plugin_model_provider}/{new_plugin_model_provider}"
+                    )
+
                 if (
-                    data["embedding_model_provider"] != dataset.embedding_model_provider
+                    new_plugin_model_provider != plugin_model_provider
                     or data["embedding_model"] != dataset.embedding_model
                 ):
                     action = "update"
@@ -1468,7 +1489,7 @@ class SegmentService:
                 model=dataset.embedding_model,
             )
             # calc embedding use tokens
-            tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
+            tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0]
         lock_name = "add_segment_lock_document_id_{}".format(document.id)
         with redis_client.lock(lock_name, timeout=600):
             max_position = (
@@ -1545,9 +1566,12 @@ class SegmentService:
                 if dataset.indexing_technique == "high_quality" and embedding_model:
                     # calc embedding use tokens
                     if document.doc_form == "qa_model":
-                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment_item["answer"]])
+                        tokens = embedding_model.get_text_embedding_num_tokens(
+                            texts=[content + segment_item["answer"]]
+                        )[0]
                     else:
-                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0]
+
                 segment_document = DocumentSegment(
                     tenant_id=current_user.current_tenant_id,
                     dataset_id=document.dataset_id,
@@ -1695,9 +1719,9 @@ class SegmentService:
 
                     # calc embedding use tokens
                     if document.doc_form == "qa_model":
-                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer])
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer])[0]
                     else:
-                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])
+                        tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0]
                 segment.content = content
                 segment.index_node_hash = segment_hash
                 segment.word_count = len(content)
diff --git a/api/services/entities/model_provider_entities.py b/api/services/entities/model_provider_entities.py
index f1417c6cb9..bc385b2e22 100644
--- a/api/services/entities/model_provider_entities.py
+++ b/api/services/entities/model_provider_entities.py
@@ -8,7 +8,7 @@ from core.entities.model_entities import (
     ModelWithProviderEntity,
     ProviderModelWithStatusEntity,
 )
-from core.entities.provider_entities import QuotaConfiguration
+from core.entities.provider_entities import ProviderQuotaType, QuotaConfiguration
 from core.model_runtime.entities.common_entities import I18nObject
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.entities.provider_entities import (
@@ -18,7 +18,7 @@ from core.model_runtime.entities.provider_entities import (
     ProviderHelpEntity,
     SimpleProviderEntity,
 )
-from models.provider import ProviderQuotaType, ProviderType
+from models.provider import ProviderType
 
 
 class CustomConfigurationStatus(Enum):
@@ -53,6 +53,7 @@ class ProviderResponse(BaseModel):
     Model class for provider response.
     """
 
+    tenant_id: str
     provider: str
     label: I18nObject
     description: Optional[I18nObject] = None
@@ -74,7 +75,9 @@ class ProviderResponse(BaseModel):
     def __init__(self, **data) -> None:
         super().__init__(**data)
 
-        url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}"
+        url_prefix = (
+            dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}"
+        )
         if self.icon_small is not None:
             self.icon_small = I18nObject(
                 en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans"
@@ -91,6 +94,7 @@ class ProviderWithModelsResponse(BaseModel):
     Model class for provider with models response.
     """
 
+    tenant_id: str
     provider: str
     label: I18nObject
     icon_small: Optional[I18nObject] = None
@@ -101,7 +105,9 @@ class ProviderWithModelsResponse(BaseModel):
     def __init__(self, **data) -> None:
         super().__init__(**data)
 
-        url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}"
+        url_prefix = (
+            dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}"
+        )
         if self.icon_small is not None:
             self.icon_small = I18nObject(
                 en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans"
@@ -118,10 +124,14 @@ class SimpleProviderEntityResponse(SimpleProviderEntity):
     Simple provider entity response.
     """
 
+    tenant_id: str
+
     def __init__(self, **data) -> None:
         super().__init__(**data)
 
-        url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}"
+        url_prefix = (
+            dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}"
+        )
         if self.icon_small is not None:
             self.icon_small = I18nObject(
                 en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans"
@@ -146,13 +156,14 @@ class DefaultModelResponse(BaseModel):
     model_config = ConfigDict(protected_namespaces=())
 
 
-class ModelWithProviderEntityResponse(ModelWithProviderEntity):
+class ModelWithProviderEntityResponse(ProviderModelWithStatusEntity):
     """
     Model with provider entity.
     """
 
-    # FIXME type error ignore here
-    provider: SimpleProviderEntityResponse  # type: ignore
+    provider: SimpleProviderEntityResponse
 
-    def __init__(self, model: ModelWithProviderEntity) -> None:
-        super().__init__(**model.model_dump())
+    def __init__(self, tenant_id: str, model: ModelWithProviderEntity) -> None:
+        dump_model = model.model_dump()
+        dump_model["provider"]["tenant_id"] = tenant_id
+        super().__init__(**dump_model)
diff --git a/api/services/feature_service.py b/api/services/feature_service.py
index b9261d19d7..a42b3020cd 100644
--- a/api/services/feature_service.py
+++ b/api/services/feature_service.py
@@ -58,6 +58,8 @@ class SystemFeatureModel(BaseModel):
     sso_enforced_for_web: bool = False
     sso_enforced_for_web_protocol: str = ""
     enable_web_sso_switch_component: bool = False
+    enable_marketplace: bool = True
+    max_plugin_package_size: int = dify_config.PLUGIN_MAX_PACKAGE_SIZE
     enable_email_code_login: bool = False
     enable_email_password_login: bool = True
     enable_social_oauth_login: bool = False
@@ -90,6 +92,9 @@ class FeatureService:
 
             cls._fulfill_params_from_enterprise(system_features)
 
+        if dify_config.MARKETPLACE_ENABLED:
+            system_features.enable_marketplace = True
+
         return system_features
 
     @classmethod
diff --git a/api/services/model_load_balancing_service.py b/api/services/model_load_balancing_service.py
index bacd3a8ec3..26311a6377 100644
--- a/api/services/model_load_balancing_service.py
+++ b/api/services/model_load_balancing_service.py
@@ -14,7 +14,7 @@ from core.model_runtime.entities.provider_entities import (
     ModelCredentialSchema,
     ProviderCredentialSchema,
 )
-from core.model_runtime.model_providers import model_provider_factory
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
 from core.provider_manager import ProviderManager
 from extensions.ext_database import db
 from models.provider import LoadBalancingModelConfig
@@ -527,6 +527,7 @@ class ModelLoadBalancingService:
                         credentials[key] = encrypter.decrypt_token(tenant_id, original_credentials[key])
 
         if validate:
+            model_provider_factory = ModelProviderFactory(tenant_id)
             if isinstance(credential_schemas, ModelCredentialSchema):
                 credentials = model_provider_factory.model_credentials_validate(
                     provider=provider_configuration.provider.provider,
diff --git a/api/services/model_provider_service.py b/api/services/model_provider_service.py
index b10c5ad2d6..0a0a5619e1 100644
--- a/api/services/model_provider_service.py
+++ b/api/services/model_provider_service.py
@@ -1,16 +1,9 @@
 import logging
-import mimetypes
-import os
-from pathlib import Path
-from typing import Optional, cast
-
-import requests
-from flask import current_app
+from typing import Optional
 
 from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, ProviderModelWithStatusEntity
 from core.model_runtime.entities.model_entities import ModelType, ParameterRule
-from core.model_runtime.model_providers import model_provider_factory
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
 from core.provider_manager import ProviderManager
 from models.provider import ProviderType
 from services.entities.model_provider_entities import (
@@ -54,6 +47,7 @@ class ModelProviderService:
                     continue
 
             provider_response = ProviderResponse(
+                tenant_id=tenant_id,
                 provider=provider_configuration.provider.provider,
                 label=provider_configuration.provider.label,
                 description=provider_configuration.provider.description,
@@ -97,10 +91,11 @@ class ModelProviderService:
 
         # Get provider available models
         return [
-            ModelWithProviderEntityResponse(model) for model in provider_configurations.get_models(provider=provider)
+            ModelWithProviderEntityResponse(tenant_id=tenant_id, model=model)
+            for model in provider_configurations.get_models(provider=provider)
         ]
 
-    def get_provider_credentials(self, tenant_id: str, provider: str):
+    def get_provider_credentials(self, tenant_id: str, provider: str) -> Optional[dict]:
         """
         get provider credentials.
         """
@@ -168,7 +163,7 @@ class ModelProviderService:
         # Remove custom provider credentials.
         provider_configuration.delete_custom_credentials()
 
-    def get_model_credentials(self, tenant_id: str, provider: str, model_type: str, model: str):
+    def get_model_credentials(self, tenant_id: str, provider: str, model_type: str, model: str) -> Optional[dict]:
         """
         get model credentials.
 
@@ -302,6 +297,7 @@ class ModelProviderService:
 
             providers_with_models.append(
                 ProviderWithModelsResponse(
+                    tenant_id=tenant_id,
                     provider=provider,
                     label=first_model.provider.label,
                     icon_small=first_model.provider.icon_small,
@@ -343,18 +339,17 @@ class ModelProviderService:
         if not provider_configuration:
             raise ValueError(f"Provider {provider} does not exist.")
 
-        # Get model instance of LLM
-        model_type_instance = provider_configuration.get_model_type_instance(ModelType.LLM)
-        model_type_instance = cast(LargeLanguageModel, model_type_instance)
-
         # fetch credentials
         credentials = provider_configuration.get_current_credentials(model_type=ModelType.LLM, model=model)
 
         if not credentials:
             return []
 
-        # Call get_parameter_rules method of model instance to get model parameter rules
-        return list(model_type_instance.get_parameter_rules(model=model, credentials=credentials))
+        model_schema = provider_configuration.get_model_schema(
+            model_type=ModelType.LLM, model=model, credentials=credentials
+        )
+
+        return model_schema.parameter_rules if model_schema else []
 
     def get_default_model_of_model_type(self, tenant_id: str, model_type: str) -> Optional[DefaultModelResponse]:
         """
@@ -365,13 +360,15 @@ class ModelProviderService:
         :return:
         """
         model_type_enum = ModelType.value_of(model_type)
-        result = self.provider_manager.get_default_model(tenant_id=tenant_id, model_type=model_type_enum)
+
         try:
+            result = self.provider_manager.get_default_model(tenant_id=tenant_id, model_type=model_type_enum)
             return (
                 DefaultModelResponse(
                     model=result.model,
                     model_type=result.model_type,
                     provider=SimpleProviderEntityResponse(
+                        tenant_id=tenant_id,
                         provider=result.provider.provider,
                         label=result.provider.label,
                         icon_small=result.provider.icon_small,
@@ -383,7 +380,7 @@ class ModelProviderService:
                 else None
             )
         except Exception as e:
-            logger.info(f"get_default_model_of_model_type error: {e}")
+            logger.debug(f"get_default_model_of_model_type error: {e}")
             return None
 
     def update_default_model_of_model_type(self, tenant_id: str, model_type: str, provider: str, model: str) -> None:
@@ -402,55 +399,21 @@ class ModelProviderService:
         )
 
     def get_model_provider_icon(
-        self, provider: str, icon_type: str, lang: str
+        self, tenant_id: str, provider: str, icon_type: str, lang: str
     ) -> tuple[Optional[bytes], Optional[str]]:
         """
         get model provider icon.
 
+        :param tenant_id: workspace id
         :param provider: provider name
         :param icon_type: icon type (icon_small or icon_large)
         :param lang: language (zh_Hans or en_US)
         :return:
         """
-        provider_instance = model_provider_factory.get_provider_instance(provider)
-        provider_schema = provider_instance.get_provider_schema()
-        file_name: str | None = None
+        model_provider_factory = ModelProviderFactory(tenant_id)
+        byte_data, mime_type = model_provider_factory.get_provider_icon(provider, icon_type, lang)
 
-        if icon_type.lower() == "icon_small":
-            if not provider_schema.icon_small:
-                raise ValueError(f"Provider {provider} does not have small icon.")
-
-            if lang.lower() == "zh_hans":
-                file_name = provider_schema.icon_small.zh_Hans
-            else:
-                file_name = provider_schema.icon_small.en_US
-        else:
-            if not provider_schema.icon_large:
-                raise ValueError(f"Provider {provider} does not have large icon.")
-
-            if lang.lower() == "zh_hans":
-                file_name = provider_schema.icon_large.zh_Hans
-            else:
-                file_name = provider_schema.icon_large.en_US
-        if not file_name:
-            return None, None
-
-        root_path = current_app.root_path
-        provider_instance_path = os.path.dirname(
-            os.path.join(root_path, provider_instance.__class__.__module__.replace(".", "/"))
-        )
-        file_path = os.path.join(provider_instance_path, "_assets")
-        file_path = os.path.join(file_path, file_name)
-
-        if not os.path.exists(file_path):
-            return None, None
-
-        mimetype, _ = mimetypes.guess_type(file_path)
-        mimetype = mimetype or "application/octet-stream"
-
-        # read binary from file
-        byte_data = Path(file_path).read_bytes()
-        return byte_data, mimetype
+        return byte_data, mime_type
 
     def switch_preferred_provider(self, tenant_id: str, provider: str, preferred_provider_type: str) -> None:
         """
@@ -516,48 +479,3 @@ class ModelProviderService:
 
         # Enable model
         provider_configuration.disable_model(model=model, model_type=ModelType.value_of(model_type))
-
-    def free_quota_submit(self, tenant_id: str, provider: str):
-        api_key = os.environ.get("FREE_QUOTA_APPLY_API_KEY")
-        api_base_url = os.environ.get("FREE_QUOTA_APPLY_BASE_URL", "")
-        api_url = api_base_url + "/api/v1/providers/apply"
-
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
-        response = requests.post(api_url, headers=headers, json={"workspace_id": tenant_id, "provider_name": provider})
-        if not response.ok:
-            logger.error(f"Request FREE QUOTA APPLY SERVER Error: {response.status_code} ")
-            raise ValueError(f"Error: {response.status_code} ")
-
-        if response.json()["code"] != "success":
-            raise ValueError(f"error: {response.json()['message']}")
-
-        rst = response.json()
-
-        if rst["type"] == "redirect":
-            return {"type": rst["type"], "redirect_url": rst["redirect_url"]}
-        else:
-            return {"type": rst["type"], "result": "success"}
-
-    def free_quota_qualification_verify(self, tenant_id: str, provider: str, token: Optional[str]):
-        api_key = os.environ.get("FREE_QUOTA_APPLY_API_KEY")
-        api_base_url = os.environ.get("FREE_QUOTA_APPLY_BASE_URL", "")
-        api_url = api_base_url + "/api/v1/providers/qualification-verify"
-
-        headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}
-        json_data = {"workspace_id": tenant_id, "provider_name": provider}
-        if token:
-            json_data["token"] = token
-        response = requests.post(api_url, headers=headers, json=json_data)
-        if not response.ok:
-            logger.error(f"Request FREE QUOTA APPLY SERVER Error: {response.status_code} ")
-            raise ValueError(f"Error: {response.status_code} ")
-
-        rst = response.json()
-        if rst["code"] != "success":
-            raise ValueError(f"error: {rst['message']}")
-
-        data = rst["data"]
-        if data["qualified"] is True:
-            return {"result": "success", "provider_name": provider, "flag": True}
-        else:
-            return {"result": "success", "provider_name": provider, "flag": False, "reason": data["reason"]}
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/llm/__init__.py b/api/services/plugin/__init__.py
similarity index 100%
rename from api/core/model_runtime/model_providers/azure_ai_studio/llm/__init__.py
rename to api/services/plugin/__init__.py
diff --git a/api/services/plugin/data_migration.py b/api/services/plugin/data_migration.py
new file mode 100644
index 0000000000..7228a16632
--- /dev/null
+++ b/api/services/plugin/data_migration.py
@@ -0,0 +1,185 @@
+import json
+import logging
+
+import click
+
+from core.entities import DEFAULT_PLUGIN_ID
+from models.engine import db
+
+logger = logging.getLogger(__name__)
+
+
+class PluginDataMigration:
+    @classmethod
+    def migrate(cls) -> None:
+        cls.migrate_db_records("providers", "provider_name")  # large table
+        cls.migrate_db_records("provider_models", "provider_name")
+        cls.migrate_db_records("provider_orders", "provider_name")
+        cls.migrate_db_records("tenant_default_models", "provider_name")
+        cls.migrate_db_records("tenant_preferred_model_providers", "provider_name")
+        cls.migrate_db_records("provider_model_settings", "provider_name")
+        cls.migrate_db_records("load_balancing_model_configs", "provider_name")
+        cls.migrate_datasets()
+        cls.migrate_db_records("embeddings", "provider_name")  # large table
+        cls.migrate_db_records("dataset_collection_bindings", "provider_name")
+        cls.migrate_db_records("tool_builtin_providers", "provider")
+
+    @classmethod
+    def migrate_datasets(cls) -> None:
+        table_name = "datasets"
+        provider_column_name = "embedding_model_provider"
+
+        click.echo(click.style(f"Migrating [{table_name}] data for plugin", fg="white"))
+
+        processed_count = 0
+        failed_ids = []
+        while True:
+            sql = f"""select id, {provider_column_name} as provider_name, retrieval_model from {table_name}
+where {provider_column_name} not like '%/%' and {provider_column_name} is not null and {provider_column_name} != ''
+limit 1000"""
+            with db.engine.begin() as conn:
+                rs = conn.execute(db.text(sql))
+
+                current_iter_count = 0
+                for i in rs:
+                    record_id = str(i.id)
+                    provider_name = str(i.provider_name)
+                    retrieval_model = i.retrieval_model
+                    print(type(retrieval_model))
+
+                    if record_id in failed_ids:
+                        continue
+
+                    retrieval_model_changed = False
+                    if retrieval_model:
+                        if (
+                            "reranking_model" in retrieval_model
+                            and "reranking_provider_name" in retrieval_model["reranking_model"]
+                            and retrieval_model["reranking_model"]["reranking_provider_name"]
+                            and "/" not in retrieval_model["reranking_model"]["reranking_provider_name"]
+                        ):
+                            click.echo(
+                                click.style(
+                                    f"[{processed_count}] Migrating {table_name} {record_id} "
+                                    f"(reranking_provider_name: "
+                                    f"{retrieval_model['reranking_model']['reranking_provider_name']})",
+                                    fg="white",
+                                )
+                            )
+                            retrieval_model["reranking_model"]["reranking_provider_name"] = (
+                                f"{DEFAULT_PLUGIN_ID}/{retrieval_model['reranking_model']['reranking_provider_name']}/{retrieval_model['reranking_model']['reranking_provider_name']}"
+                            )
+                            retrieval_model_changed = True
+
+                    click.echo(
+                        click.style(
+                            f"[{processed_count}] Migrating [{table_name}] {record_id} ({provider_name})",
+                            fg="white",
+                        )
+                    )
+
+                    try:
+                        # update provider name append with "langgenius/{provider_name}/{provider_name}"
+                        params = {"record_id": record_id}
+                        update_retrieval_model_sql = ""
+                        if retrieval_model and retrieval_model_changed:
+                            update_retrieval_model_sql = ", retrieval_model = :retrieval_model"
+                            params["retrieval_model"] = json.dumps(retrieval_model)
+
+                        sql = f"""update {table_name} 
+                        set {provider_column_name} = 
+                        concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) 
+                        {update_retrieval_model_sql}
+                        where id = :record_id"""
+                        conn.execute(db.text(sql), params)
+                        click.echo(
+                            click.style(
+                                f"[{processed_count}] Migrated [{table_name}] {record_id} ({provider_name})",
+                                fg="green",
+                            )
+                        )
+                    except Exception:
+                        failed_ids.append(record_id)
+                        click.echo(
+                            click.style(
+                                f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})",
+                                fg="red",
+                            )
+                        )
+                        logger.exception(
+                            f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})"
+                        )
+                        continue
+
+                    current_iter_count += 1
+                    processed_count += 1
+
+            if not current_iter_count:
+                break
+
+        click.echo(
+            click.style(f"Migrate [{table_name}] data for plugin completed, total: {processed_count}", fg="green")
+        )
+
+    @classmethod
+    def migrate_db_records(cls, table_name: str, provider_column_name: str) -> None:
+        click.echo(click.style(f"Migrating [{table_name}] data for plugin", fg="white"))
+
+        processed_count = 0
+        failed_ids = []
+        while True:
+            sql = f"""select id, {provider_column_name} as provider_name from {table_name}
+where {provider_column_name} not like '%/%' and {provider_column_name} is not null and {provider_column_name} != ''
+limit 1000"""
+            with db.engine.begin() as conn:
+                rs = conn.execute(db.text(sql))
+
+                current_iter_count = 0
+                for i in rs:
+                    current_iter_count += 1
+                    processed_count += 1
+                    record_id = str(i.id)
+                    provider_name = str(i.provider_name)
+
+                    if record_id in failed_ids:
+                        continue
+
+                    click.echo(
+                        click.style(
+                            f"[{processed_count}] Migrating [{table_name}] {record_id} ({provider_name})",
+                            fg="white",
+                        )
+                    )
+
+                    try:
+                        # update provider name append with "langgenius/{provider_name}/{provider_name}"
+                        sql = f"""update {table_name} 
+                        set {provider_column_name} = 
+                        concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) 
+                        where id = :record_id"""
+                        conn.execute(db.text(sql), {"record_id": record_id})
+                        click.echo(
+                            click.style(
+                                f"[{processed_count}] Migrated [{table_name}] {record_id} ({provider_name})",
+                                fg="green",
+                            )
+                        )
+                    except Exception:
+                        failed_ids.append(record_id)
+                        click.echo(
+                            click.style(
+                                f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})",
+                                fg="red",
+                            )
+                        )
+                        logger.exception(
+                            f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})"
+                        )
+                        continue
+
+            if not current_iter_count:
+                break
+
+        click.echo(
+            click.style(f"Migrate [{table_name}] data for plugin completed, total: {processed_count}", fg="green")
+        )
diff --git a/api/services/plugin/dependencies_analysis.py b/api/services/plugin/dependencies_analysis.py
new file mode 100644
index 0000000000..77da3d09ea
--- /dev/null
+++ b/api/services/plugin/dependencies_analysis.py
@@ -0,0 +1,128 @@
+from core.helper import marketplace
+from core.plugin.entities.plugin import GenericProviderID, PluginDependency, PluginInstallationSource
+from core.plugin.manager.plugin import PluginInstallationManager
+
+
+class DependenciesAnalysisService:
+    @classmethod
+    def analyze_tool_dependency(cls, tool_id: str) -> str:
+        """
+        Analyze the dependency of a tool.
+
+        Convert the tool id to the plugin_id
+        """
+        try:
+            tool_provider_id = GenericProviderID(tool_id)
+            if tool_id in ["jina", "siliconflow"]:
+                tool_provider_id.plugin_name = tool_provider_id.plugin_name + "_tool"
+            return tool_provider_id.plugin_id
+        except Exception as e:
+            raise e
+
+    @classmethod
+    def analyze_model_provider_dependency(cls, model_provider_id: str) -> str:
+        """
+        Analyze the dependency of a model provider.
+
+        Convert the model provider id to the plugin_id
+        """
+        try:
+            generic_provider_id = GenericProviderID(model_provider_id)
+            if model_provider_id == "google":
+                generic_provider_id.plugin_name = "gemini"
+
+            return generic_provider_id.plugin_id
+        except Exception as e:
+            raise e
+
+    @classmethod
+    def get_leaked_dependencies(cls, tenant_id: str, dependencies: list[PluginDependency]) -> list[PluginDependency]:
+        """
+        Check dependencies, returns the leaked dependencies in current workspace
+        """
+        required_plugin_unique_identifiers = []
+        for dependency in dependencies:
+            required_plugin_unique_identifiers.append(dependency.value.plugin_unique_identifier)
+
+        manager = PluginInstallationManager()
+
+        # get leaked dependencies
+        missing_plugins = manager.fetch_missing_dependencies(tenant_id, required_plugin_unique_identifiers)
+        missing_plugin_unique_identifiers = {plugin.plugin_unique_identifier: plugin for plugin in missing_plugins}
+
+        leaked_dependencies = []
+        for dependency in dependencies:
+            unique_identifier = dependency.value.plugin_unique_identifier
+            if unique_identifier in missing_plugin_unique_identifiers:
+                leaked_dependencies.append(
+                    PluginDependency(
+                        type=dependency.type,
+                        value=dependency.value,
+                        current_identifier=missing_plugin_unique_identifiers[unique_identifier].current_identifier,
+                    )
+                )
+
+        return leaked_dependencies
+
+    @classmethod
+    def generate_dependencies(cls, tenant_id: str, dependencies: list[str]) -> list[PluginDependency]:
+        """
+        Generate dependencies through the list of plugin ids
+        """
+        dependencies = list(set(dependencies))
+        manager = PluginInstallationManager()
+        plugins = manager.fetch_plugin_installation_by_ids(tenant_id, dependencies)
+        result = []
+        for plugin in plugins:
+            if plugin.source == PluginInstallationSource.Github:
+                result.append(
+                    PluginDependency(
+                        type=PluginDependency.Type.Github,
+                        value=PluginDependency.Github(
+                            repo=plugin.meta["repo"],
+                            version=plugin.meta["version"],
+                            package=plugin.meta["package"],
+                            github_plugin_unique_identifier=plugin.plugin_unique_identifier,
+                        ),
+                    )
+                )
+            elif plugin.source == PluginInstallationSource.Marketplace:
+                result.append(
+                    PluginDependency(
+                        type=PluginDependency.Type.Marketplace,
+                        value=PluginDependency.Marketplace(
+                            marketplace_plugin_unique_identifier=plugin.plugin_unique_identifier
+                        ),
+                    )
+                )
+            elif plugin.source == PluginInstallationSource.Package:
+                result.append(
+                    PluginDependency(
+                        type=PluginDependency.Type.Package,
+                        value=PluginDependency.Package(plugin_unique_identifier=plugin.plugin_unique_identifier),
+                    )
+                )
+            elif plugin.source == PluginInstallationSource.Remote:
+                raise ValueError(
+                    f"You used a remote plugin: {plugin.plugin_unique_identifier} in the app, please remove it first"
+                    " if you want to export the DSL."
+                )
+            else:
+                raise ValueError(f"Unknown plugin source: {plugin.source}")
+
+        return result
+
+    @classmethod
+    def generate_latest_dependencies(cls, dependencies: list[str]) -> list[PluginDependency]:
+        """
+        Generate the latest version of dependencies
+        """
+        dependencies = list(set(dependencies))
+        deps = marketplace.batch_fetch_plugin_manifests(dependencies)
+        return [
+            PluginDependency(
+                type=PluginDependency.Type.Marketplace,
+                value=PluginDependency.Marketplace(marketplace_plugin_unique_identifier=dep.latest_package_identifier),
+            )
+            for dep in deps
+        ]
diff --git a/api/services/plugin/endpoint_service.py b/api/services/plugin/endpoint_service.py
new file mode 100644
index 0000000000..35961345a8
--- /dev/null
+++ b/api/services/plugin/endpoint_service.py
@@ -0,0 +1,66 @@
+from core.plugin.manager.endpoint import PluginEndpointManager
+
+
+class EndpointService:
+    @classmethod
+    def create_endpoint(cls, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict):
+        return PluginEndpointManager().create_endpoint(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            plugin_unique_identifier=plugin_unique_identifier,
+            name=name,
+            settings=settings,
+        )
+
+    @classmethod
+    def list_endpoints(cls, tenant_id: str, user_id: str, page: int, page_size: int):
+        return PluginEndpointManager().list_endpoints(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            page=page,
+            page_size=page_size,
+        )
+
+    @classmethod
+    def list_endpoints_for_single_plugin(cls, tenant_id: str, user_id: str, plugin_id: str, page: int, page_size: int):
+        return PluginEndpointManager().list_endpoints_for_single_plugin(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            plugin_id=plugin_id,
+            page=page,
+            page_size=page_size,
+        )
+
+    @classmethod
+    def update_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str, name: str, settings: dict):
+        return PluginEndpointManager().update_endpoint(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            endpoint_id=endpoint_id,
+            name=name,
+            settings=settings,
+        )
+
+    @classmethod
+    def delete_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str):
+        return PluginEndpointManager().delete_endpoint(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            endpoint_id=endpoint_id,
+        )
+
+    @classmethod
+    def enable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str):
+        return PluginEndpointManager().enable_endpoint(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            endpoint_id=endpoint_id,
+        )
+
+    @classmethod
+    def disable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str):
+        return PluginEndpointManager().disable_endpoint(
+            tenant_id=tenant_id,
+            user_id=user_id,
+            endpoint_id=endpoint_id,
+        )
diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/rerank/__init__.py b/api/services/plugin/github_service.py
similarity index 100%
rename from api/core/model_runtime/model_providers/azure_ai_studio/rerank/__init__.py
rename to api/services/plugin/github_service.py
diff --git a/api/services/plugin/plugin_migration.py b/api/services/plugin/plugin_migration.py
new file mode 100644
index 0000000000..179713d637
--- /dev/null
+++ b/api/services/plugin/plugin_migration.py
@@ -0,0 +1,523 @@
+import datetime
+import json
+import logging
+import time
+from collections.abc import Mapping, Sequence
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from typing import Any, Optional
+from uuid import uuid4
+
+import click
+import tqdm
+from flask import Flask, current_app
+from sqlalchemy.orm import Session
+
+from core.agent.entities import AgentToolEntity
+from core.entities import DEFAULT_PLUGIN_ID
+from core.helper import marketplace
+from core.plugin.entities.plugin import PluginInstallationSource
+from core.plugin.entities.plugin_daemon import PluginInstallTaskStatus
+from core.plugin.manager.plugin import PluginInstallationManager
+from core.tools.entities.tool_entities import ToolProviderType
+from models.account import Tenant
+from models.engine import db
+from models.model import App, AppMode, AppModelConfig
+from models.tools import BuiltinToolProvider
+from models.workflow import Workflow
+
+logger = logging.getLogger(__name__)
+
+excluded_providers = ["time", "audio", "code", "webscraper"]
+
+
+class PluginMigration:
+    @classmethod
+    def extract_plugins(cls, filepath: str, workers: int) -> None:
+        """
+        Migrate plugin.
+        """
+        import concurrent.futures
+        from threading import Lock
+
+        click.echo(click.style("Migrating models/tools to new plugin Mechanism", fg="white"))
+        ended_at = datetime.datetime.now()
+        started_at = datetime.datetime(2023, 4, 3, 8, 59, 24)
+        current_time = started_at
+
+        with Session(db.engine) as session:
+            total_tenant_count = session.query(Tenant.id).count()
+
+        click.echo(click.style(f"Total tenant count: {total_tenant_count}", fg="white"))
+
+        handled_tenant_count = 0
+        file_lock = Lock()
+        counter_lock = Lock()
+
+        thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=workers)
+
+        def process_tenant(flask_app: Flask, tenant_id: str) -> None:
+            with flask_app.app_context():
+                nonlocal handled_tenant_count
+                try:
+                    plugins = cls.extract_installed_plugin_ids(tenant_id)
+                    # Use lock when writing to file
+                    with file_lock:
+                        with open(filepath, "a") as f:
+                            f.write(json.dumps({"tenant_id": tenant_id, "plugins": plugins}) + "\n")
+
+                    # Use lock when updating counter
+                    with counter_lock:
+                        nonlocal handled_tenant_count
+                        handled_tenant_count += 1
+                        click.echo(
+                            click.style(
+                                f"[{datetime.datetime.now()}] "
+                                f"Processed {handled_tenant_count} tenants "
+                                f"({(handled_tenant_count / total_tenant_count) * 100:.1f}%), "
+                                f"{handled_tenant_count}/{total_tenant_count}",
+                                fg="green",
+                            )
+                        )
+                except Exception:
+                    logger.exception(f"Failed to process tenant {tenant_id}")
+
+        futures = []
+
+        while current_time < ended_at:
+            click.echo(click.style(f"Current time: {current_time}, Started at: {datetime.datetime.now()}", fg="white"))
+            # Initial interval of 1 day, will be dynamically adjusted based on tenant count
+            interval = datetime.timedelta(days=1)
+            # Process tenants in this batch
+            with Session(db.engine) as session:
+                # Calculate tenant count in next batch with current interval
+                # Try different intervals until we find one with a reasonable tenant count
+                test_intervals = [
+                    datetime.timedelta(days=1),
+                    datetime.timedelta(hours=12),
+                    datetime.timedelta(hours=6),
+                    datetime.timedelta(hours=3),
+                    datetime.timedelta(hours=1),
+                ]
+
+                for test_interval in test_intervals:
+                    tenant_count = (
+                        session.query(Tenant.id)
+                        .filter(Tenant.created_at.between(current_time, current_time + test_interval))
+                        .count()
+                    )
+                    if tenant_count <= 100:
+                        interval = test_interval
+                        break
+                else:
+                    # If all intervals have too many tenants, use minimum interval
+                    interval = datetime.timedelta(hours=1)
+
+                # Adjust interval to target ~100 tenants per batch
+                if tenant_count > 0:
+                    # Scale interval based on ratio to target count
+                    interval = min(
+                        datetime.timedelta(days=1),  # Max 1 day
+                        max(
+                            datetime.timedelta(hours=1),  # Min 1 hour
+                            interval * (100 / tenant_count),  # Scale to target 100
+                        ),
+                    )
+
+                batch_end = min(current_time + interval, ended_at)
+
+                rs = (
+                    session.query(Tenant.id)
+                    .filter(Tenant.created_at.between(current_time, batch_end))
+                    .order_by(Tenant.created_at)
+                )
+
+                tenants = []
+                for row in rs:
+                    tenant_id = str(row.id)
+                    try:
+                        tenants.append(tenant_id)
+                    except Exception:
+                        logger.exception(f"Failed to process tenant {tenant_id}")
+                        continue
+
+                    futures.append(
+                        thread_pool.submit(
+                            process_tenant,
+                            current_app._get_current_object(),  # type: ignore[attr-defined]
+                            tenant_id,
+                        )
+                    )
+
+            current_time = batch_end
+
+        # wait for all threads to finish
+        for future in futures:
+            future.result()
+
+    @classmethod
+    def extract_installed_plugin_ids(cls, tenant_id: str) -> Sequence[str]:
+        """
+        Extract installed plugin ids.
+        """
+        tools = cls.extract_tool_tables(tenant_id)
+        models = cls.extract_model_tables(tenant_id)
+        workflows = cls.extract_workflow_tables(tenant_id)
+        apps = cls.extract_app_tables(tenant_id)
+
+        return list({*tools, *models, *workflows, *apps})
+
+    @classmethod
+    def extract_model_tables(cls, tenant_id: str) -> Sequence[str]:
+        """
+        Extract model tables.
+
+        """
+        models: list[str] = []
+        table_pairs = [
+            ("providers", "provider_name"),
+            ("provider_models", "provider_name"),
+            ("provider_orders", "provider_name"),
+            ("tenant_default_models", "provider_name"),
+            ("tenant_preferred_model_providers", "provider_name"),
+            ("provider_model_settings", "provider_name"),
+            ("load_balancing_model_configs", "provider_name"),
+        ]
+
+        for table, column in table_pairs:
+            models.extend(cls.extract_model_table(tenant_id, table, column))
+
+        # duplicate models
+        models = list(set(models))
+
+        return models
+
+    @classmethod
+    def extract_model_table(cls, tenant_id: str, table: str, column: str) -> Sequence[str]:
+        """
+        Extract model table.
+        """
+        with Session(db.engine) as session:
+            rs = session.execute(
+                db.text(f"SELECT DISTINCT {column} FROM {table} WHERE tenant_id = :tenant_id"), {"tenant_id": tenant_id}
+            )
+            result = []
+            for row in rs:
+                provider_name = str(row[0])
+                if provider_name and "/" not in provider_name:
+                    if provider_name == "google":
+                        provider_name = "gemini"
+
+                    result.append(DEFAULT_PLUGIN_ID + "/" + provider_name)
+                elif provider_name:
+                    result.append(provider_name)
+
+            return result
+
+    @classmethod
+    def extract_tool_tables(cls, tenant_id: str) -> Sequence[str]:
+        """
+        Extract tool tables.
+        """
+        with Session(db.engine) as session:
+            rs = session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all()
+            result = []
+            for row in rs:
+                if "/" not in row.provider:
+                    result.append(DEFAULT_PLUGIN_ID + "/" + row.provider)
+                else:
+                    result.append(row.provider)
+
+            return result
+
+    @classmethod
+    def _handle_builtin_tool_provider(cls, provider_name: str) -> str:
+        """
+        Handle builtin tool provider.
+        """
+        if provider_name == "jina":
+            provider_name = "jina_tool"
+        elif provider_name == "siliconflow":
+            provider_name = "siliconflow_tool"
+        elif provider_name == "stepfun":
+            provider_name = "stepfun_tool"
+
+        if "/" not in provider_name:
+            return DEFAULT_PLUGIN_ID + "/" + provider_name
+        else:
+            return provider_name
+
+    @classmethod
+    def extract_workflow_tables(cls, tenant_id: str) -> Sequence[str]:
+        """
+        Extract workflow tables, only ToolNode is required.
+        """
+
+        with Session(db.engine) as session:
+            rs = session.query(Workflow).filter(Workflow.tenant_id == tenant_id).all()
+            result = []
+            for row in rs:
+                graph = row.graph_dict
+                # get nodes
+                nodes = graph.get("nodes", [])
+
+                for node in nodes:
+                    data = node.get("data", {})
+                    if data.get("type") == "tool":
+                        provider_name = data.get("provider_name")
+                        provider_type = data.get("provider_type")
+                        if provider_name not in excluded_providers and provider_type == ToolProviderType.BUILT_IN.value:
+                            provider_name = cls._handle_builtin_tool_provider(provider_name)
+                            result.append(provider_name)
+
+            return result
+
+    @classmethod
+    def extract_app_tables(cls, tenant_id: str) -> Sequence[str]:
+        """
+        Extract app tables.
+        """
+        with Session(db.engine) as session:
+            apps = session.query(App).filter(App.tenant_id == tenant_id).all()
+            if not apps:
+                return []
+
+            agent_app_model_config_ids = [
+                app.app_model_config_id for app in apps if app.is_agent or app.mode == AppMode.AGENT_CHAT.value
+            ]
+
+            rs = session.query(AppModelConfig).filter(AppModelConfig.id.in_(agent_app_model_config_ids)).all()
+            result = []
+            for row in rs:
+                agent_config = row.agent_mode_dict
+                if "tools" in agent_config and isinstance(agent_config["tools"], list):
+                    for tool in agent_config["tools"]:
+                        if isinstance(tool, dict):
+                            try:
+                                tool_entity = AgentToolEntity(**tool)
+                                if (
+                                    tool_entity.provider_type == ToolProviderType.BUILT_IN.value
+                                    and tool_entity.provider_id not in excluded_providers
+                                ):
+                                    result.append(cls._handle_builtin_tool_provider(tool_entity.provider_id))
+
+                            except Exception:
+                                logger.exception(f"Failed to process tool {tool}")
+                                continue
+
+            return result
+
+    @classmethod
+    def _fetch_plugin_unique_identifier(cls, plugin_id: str) -> Optional[str]:
+        """
+        Fetch plugin unique identifier using plugin id.
+        """
+        plugin_manifest = marketplace.batch_fetch_plugin_manifests([plugin_id])
+        if not plugin_manifest:
+            return None
+
+        return plugin_manifest[0].latest_package_identifier
+
+    @classmethod
+    def extract_unique_plugins_to_file(cls, extracted_plugins: str, output_file: str) -> None:
+        """
+        Extract unique plugins.
+        """
+        Path(output_file).write_text(json.dumps(cls.extract_unique_plugins(extracted_plugins)))
+
+    @classmethod
+    def extract_unique_plugins(cls, extracted_plugins: str) -> Mapping[str, Any]:
+        plugins: dict[str, str] = {}
+        plugin_ids = []
+        plugin_not_exist = []
+        logger.info(f"Extracting unique plugins from {extracted_plugins}")
+        with open(extracted_plugins) as f:
+            for line in f:
+                data = json.loads(line)
+                new_plugin_ids = data.get("plugins", [])
+                for plugin_id in new_plugin_ids:
+                    if plugin_id not in plugin_ids:
+                        plugin_ids.append(plugin_id)
+
+        def fetch_plugin(plugin_id):
+            try:
+                unique_identifier = cls._fetch_plugin_unique_identifier(plugin_id)
+                if unique_identifier:
+                    plugins[plugin_id] = unique_identifier
+                else:
+                    plugin_not_exist.append(plugin_id)
+            except Exception:
+                logger.exception(f"Failed to fetch plugin unique identifier for {plugin_id}")
+                plugin_not_exist.append(plugin_id)
+
+        with ThreadPoolExecutor(max_workers=10) as executor:
+            list(tqdm.tqdm(executor.map(fetch_plugin, plugin_ids), total=len(plugin_ids)))
+
+        return {"plugins": plugins, "plugin_not_exist": plugin_not_exist}
+
+    @classmethod
+    def install_plugins(cls, extracted_plugins: str, output_file: str) -> None:
+        """
+        Install plugins.
+        """
+        manager = PluginInstallationManager()
+
+        plugins = cls.extract_unique_plugins(extracted_plugins)
+        not_installed = []
+        plugin_install_failed = []
+
+        # use a fake tenant id to install all the plugins
+        fake_tenant_id = uuid4().hex
+        logger.info(f"Installing {len(plugins['plugins'])} plugin instances for fake tenant {fake_tenant_id}")
+
+        thread_pool = ThreadPoolExecutor(max_workers=40)
+
+        response = cls.handle_plugin_instance_install(fake_tenant_id, plugins["plugins"])
+        if response.get("failed"):
+            plugin_install_failed.extend(response.get("failed", []))
+
+        def install(tenant_id: str, plugin_ids: list[str]) -> None:
+            logger.info(f"Installing {len(plugin_ids)} plugins for tenant {tenant_id}")
+            # at most 64 plugins one batch
+            for i in range(0, len(plugin_ids), 64):
+                batch_plugin_ids = plugin_ids[i : i + 64]
+                batch_plugin_identifiers = [plugins["plugins"][plugin_id] for plugin_id in batch_plugin_ids]
+                manager.install_from_identifiers(
+                    tenant_id,
+                    batch_plugin_identifiers,
+                    PluginInstallationSource.Marketplace,
+                    metas=[
+                        {
+                            "plugin_unique_identifier": identifier,
+                        }
+                        for identifier in batch_plugin_identifiers
+                    ],
+                )
+
+        with open(extracted_plugins) as f:
+            """
+            Read line by line, and install plugins for each tenant.
+            """
+            for line in f:
+                data = json.loads(line)
+                tenant_id = data.get("tenant_id")
+                plugin_ids = data.get("plugins", [])
+                current_not_installed = {
+                    "tenant_id": tenant_id,
+                    "plugin_not_exist": [],
+                }
+                # get plugin unique identifier
+                for plugin_id in plugin_ids:
+                    unique_identifier = plugins.get(plugin_id)
+                    if unique_identifier:
+                        current_not_installed["plugin_not_exist"].append(plugin_id)
+
+                if current_not_installed["plugin_not_exist"]:
+                    not_installed.append(current_not_installed)
+
+                thread_pool.submit(install, tenant_id, plugin_ids)
+
+        thread_pool.shutdown(wait=True)
+
+        logger.info("Uninstall plugins")
+
+        # get installation
+        try:
+            installation = manager.list_plugins(fake_tenant_id)
+            while installation:
+                for plugin in installation:
+                    manager.uninstall(fake_tenant_id, plugin.installation_id)
+
+                installation = manager.list_plugins(fake_tenant_id)
+        except Exception:
+            logger.exception(f"Failed to get installation for tenant {fake_tenant_id}")
+
+        Path(output_file).write_text(
+            json.dumps(
+                {
+                    "not_installed": not_installed,
+                    "plugin_install_failed": plugin_install_failed,
+                }
+            )
+        )
+
+    @classmethod
+    def handle_plugin_instance_install(
+        cls, tenant_id: str, plugin_identifiers_map: Mapping[str, str]
+    ) -> Mapping[str, Any]:
+        """
+        Install plugins for a tenant.
+        """
+        manager = PluginInstallationManager()
+
+        # download all the plugins and upload
+        thread_pool = ThreadPoolExecutor(max_workers=10)
+        futures = []
+
+        for plugin_id, plugin_identifier in plugin_identifiers_map.items():
+
+            def download_and_upload(tenant_id, plugin_id, plugin_identifier):
+                plugin_package = marketplace.download_plugin_pkg(plugin_identifier)
+                if not plugin_package:
+                    raise Exception(f"Failed to download plugin {plugin_identifier}")
+
+                # upload
+                manager.upload_pkg(tenant_id, plugin_package, verify_signature=True)
+
+            futures.append(thread_pool.submit(download_and_upload, tenant_id, plugin_id, plugin_identifier))
+
+        # Wait for all downloads to complete
+        for future in futures:
+            future.result()  # This will raise any exceptions that occurred
+
+        thread_pool.shutdown(wait=True)
+        success = []
+        failed = []
+
+        reverse_map = {v: k for k, v in plugin_identifiers_map.items()}
+
+        # at most 8 plugins one batch
+        for i in range(0, len(plugin_identifiers_map), 8):
+            batch_plugin_ids = list(plugin_identifiers_map.keys())[i : i + 8]
+            batch_plugin_identifiers = [plugin_identifiers_map[plugin_id] for plugin_id in batch_plugin_ids]
+
+            try:
+                response = manager.install_from_identifiers(
+                    tenant_id=tenant_id,
+                    identifiers=batch_plugin_identifiers,
+                    source=PluginInstallationSource.Marketplace,
+                    metas=[
+                        {
+                            "plugin_unique_identifier": identifier,
+                        }
+                        for identifier in batch_plugin_identifiers
+                    ],
+                )
+            except Exception:
+                # add to failed
+                failed.extend(batch_plugin_identifiers)
+                continue
+
+            if response.all_installed:
+                success.extend(batch_plugin_identifiers)
+                continue
+
+            task_id = response.task_id
+            done = False
+            while not done:
+                status = manager.fetch_plugin_installation_task(tenant_id, task_id)
+                if status.status in [PluginInstallTaskStatus.Failed, PluginInstallTaskStatus.Success]:
+                    for plugin in status.plugins:
+                        if plugin.status == PluginInstallTaskStatus.Success:
+                            success.append(reverse_map[plugin.plugin_unique_identifier])
+                        else:
+                            failed.append(reverse_map[plugin.plugin_unique_identifier])
+                            logger.error(
+                                f"Failed to install plugin {plugin.plugin_unique_identifier}, error: {plugin.message}"
+                            )
+
+                    done = True
+                else:
+                    time.sleep(1)
+
+        return {"success": success, "failed": failed}
diff --git a/api/services/plugin/plugin_permission_service.py b/api/services/plugin/plugin_permission_service.py
new file mode 100644
index 0000000000..275e496037
--- /dev/null
+++ b/api/services/plugin/plugin_permission_service.py
@@ -0,0 +1,34 @@
+from sqlalchemy.orm import Session
+
+from extensions.ext_database import db
+from models.account import TenantPluginPermission
+
+
+class PluginPermissionService:
+    @staticmethod
+    def get_permission(tenant_id: str) -> TenantPluginPermission | None:
+        with Session(db.engine) as session:
+            return session.query(TenantPluginPermission).filter(TenantPluginPermission.tenant_id == tenant_id).first()
+
+    @staticmethod
+    def change_permission(
+        tenant_id: str,
+        install_permission: TenantPluginPermission.InstallPermission,
+        debug_permission: TenantPluginPermission.DebugPermission,
+    ):
+        with Session(db.engine) as session:
+            permission = (
+                session.query(TenantPluginPermission).filter(TenantPluginPermission.tenant_id == tenant_id).first()
+            )
+            if not permission:
+                permission = TenantPluginPermission(
+                    tenant_id=tenant_id, install_permission=install_permission, debug_permission=debug_permission
+                )
+
+                session.add(permission)
+            else:
+                permission.install_permission = install_permission
+                permission.debug_permission = debug_permission
+
+            session.commit()
+            return True
diff --git a/api/services/plugin/plugin_service.py b/api/services/plugin/plugin_service.py
new file mode 100644
index 0000000000..f84baf6b81
--- /dev/null
+++ b/api/services/plugin/plugin_service.py
@@ -0,0 +1,301 @@
+import logging
+from collections.abc import Sequence
+from mimetypes import guess_type
+
+from configs import dify_config
+from core.helper import marketplace
+from core.helper.download import download_with_size_limit
+from core.helper.marketplace import download_plugin_pkg
+from core.plugin.entities.bundle import PluginBundleDependency
+from core.plugin.entities.plugin import (
+    GenericProviderID,
+    PluginDeclaration,
+    PluginEntity,
+    PluginInstallation,
+    PluginInstallationSource,
+)
+from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginUploadResponse
+from core.plugin.manager.asset import PluginAssetManager
+from core.plugin.manager.debugging import PluginDebuggingManager
+from core.plugin.manager.plugin import PluginInstallationManager
+
+logger = logging.getLogger(__name__)
+
+
+class PluginService:
+    @staticmethod
+    def get_debugging_key(tenant_id: str) -> str:
+        """
+        get the debugging key of the tenant
+        """
+        manager = PluginDebuggingManager()
+        return manager.get_debugging_key(tenant_id)
+
+    @staticmethod
+    def list(tenant_id: str) -> list[PluginEntity]:
+        """
+        list all plugins of the tenant
+        """
+        manager = PluginInstallationManager()
+        plugins = manager.list_plugins(tenant_id)
+        plugin_ids = [plugin.plugin_id for plugin in plugins if plugin.source == PluginInstallationSource.Marketplace]
+        try:
+            manifests = {
+                manifest.plugin_id: manifest for manifest in marketplace.batch_fetch_plugin_manifests(plugin_ids)
+            }
+        except Exception:
+            manifests = {}
+            logger.exception("failed to fetch plugin manifests")
+
+        for plugin in plugins:
+            if plugin.source == PluginInstallationSource.Marketplace:
+                if plugin.plugin_id in manifests:
+                    # set latest_version
+                    plugin.latest_version = manifests[plugin.plugin_id].latest_version
+                    plugin.latest_unique_identifier = manifests[plugin.plugin_id].latest_package_identifier
+
+        return plugins
+
+    @staticmethod
+    def list_installations_from_ids(tenant_id: str, ids: Sequence[str]) -> Sequence[PluginInstallation]:
+        """
+        List plugin installations from ids
+        """
+        manager = PluginInstallationManager()
+        return manager.fetch_plugin_installation_by_ids(tenant_id, ids)
+
+    @staticmethod
+    def get_asset(tenant_id: str, asset_file: str) -> tuple[bytes, str]:
+        """
+        get the asset file of the plugin
+        """
+        manager = PluginAssetManager()
+        # guess mime type
+        mime_type, _ = guess_type(asset_file)
+        return manager.fetch_asset(tenant_id, asset_file), mime_type or "application/octet-stream"
+
+    @staticmethod
+    def check_plugin_unique_identifier(tenant_id: str, plugin_unique_identifier: str) -> bool:
+        """
+        check if the plugin unique identifier is already installed by other tenant
+        """
+        manager = PluginInstallationManager()
+        return manager.fetch_plugin_by_identifier(tenant_id, plugin_unique_identifier)
+
+    @staticmethod
+    def fetch_plugin_manifest(tenant_id: str, plugin_unique_identifier: str) -> PluginDeclaration:
+        """
+        Fetch plugin manifest
+        """
+        manager = PluginInstallationManager()
+        return manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier)
+
+    @staticmethod
+    def fetch_install_tasks(tenant_id: str, page: int, page_size: int) -> Sequence[PluginInstallTask]:
+        """
+        Fetch plugin installation tasks
+        """
+        manager = PluginInstallationManager()
+        return manager.fetch_plugin_installation_tasks(tenant_id, page, page_size)
+
+    @staticmethod
+    def fetch_install_task(tenant_id: str, task_id: str) -> PluginInstallTask:
+        manager = PluginInstallationManager()
+        return manager.fetch_plugin_installation_task(tenant_id, task_id)
+
+    @staticmethod
+    def delete_install_task(tenant_id: str, task_id: str) -> bool:
+        """
+        Delete a plugin installation task
+        """
+        manager = PluginInstallationManager()
+        return manager.delete_plugin_installation_task(tenant_id, task_id)
+
+    @staticmethod
+    def delete_all_install_task_items(
+        tenant_id: str,
+    ) -> bool:
+        """
+        Delete all plugin installation task items
+        """
+        manager = PluginInstallationManager()
+        return manager.delete_all_plugin_installation_task_items(tenant_id)
+
+    @staticmethod
+    def delete_install_task_item(tenant_id: str, task_id: str, identifier: str) -> bool:
+        """
+        Delete a plugin installation task item
+        """
+        manager = PluginInstallationManager()
+        return manager.delete_plugin_installation_task_item(tenant_id, task_id, identifier)
+
+    @staticmethod
+    def upgrade_plugin_with_marketplace(
+        tenant_id: str, original_plugin_unique_identifier: str, new_plugin_unique_identifier: str
+    ):
+        """
+        Upgrade plugin with marketplace
+        """
+        if original_plugin_unique_identifier == new_plugin_unique_identifier:
+            raise ValueError("you should not upgrade plugin with the same plugin")
+
+        # check if plugin pkg is already downloaded
+        manager = PluginInstallationManager()
+
+        try:
+            manager.fetch_plugin_manifest(tenant_id, new_plugin_unique_identifier)
+            # already downloaded, skip, and record install event
+            marketplace.record_install_plugin_event(new_plugin_unique_identifier)
+        except Exception:
+            # plugin not installed, download and upload pkg
+            pkg = download_plugin_pkg(new_plugin_unique_identifier)
+            manager.upload_pkg(tenant_id, pkg, verify_signature=False)
+
+        return manager.upgrade_plugin(
+            tenant_id,
+            original_plugin_unique_identifier,
+            new_plugin_unique_identifier,
+            PluginInstallationSource.Marketplace,
+            {
+                "plugin_unique_identifier": new_plugin_unique_identifier,
+            },
+        )
+
+    @staticmethod
+    def upgrade_plugin_with_github(
+        tenant_id: str,
+        original_plugin_unique_identifier: str,
+        new_plugin_unique_identifier: str,
+        repo: str,
+        version: str,
+        package: str,
+    ):
+        """
+        Upgrade plugin with github
+        """
+        manager = PluginInstallationManager()
+        return manager.upgrade_plugin(
+            tenant_id,
+            original_plugin_unique_identifier,
+            new_plugin_unique_identifier,
+            PluginInstallationSource.Github,
+            {
+                "repo": repo,
+                "version": version,
+                "package": package,
+            },
+        )
+
+    @staticmethod
+    def upload_pkg(tenant_id: str, pkg: bytes, verify_signature: bool = False) -> PluginUploadResponse:
+        """
+        Upload plugin package files
+
+        returns: plugin_unique_identifier
+        """
+        manager = PluginInstallationManager()
+        return manager.upload_pkg(tenant_id, pkg, verify_signature)
+
+    @staticmethod
+    def upload_pkg_from_github(
+        tenant_id: str, repo: str, version: str, package: str, verify_signature: bool = False
+    ) -> PluginUploadResponse:
+        """
+        Install plugin from github release package files,
+        returns plugin_unique_identifier
+        """
+        pkg = download_with_size_limit(
+            f"https://github.com/{repo}/releases/download/{version}/{package}", dify_config.PLUGIN_MAX_PACKAGE_SIZE
+        )
+
+        manager = PluginInstallationManager()
+        return manager.upload_pkg(
+            tenant_id,
+            pkg,
+            verify_signature,
+        )
+
+    @staticmethod
+    def upload_bundle(
+        tenant_id: str, bundle: bytes, verify_signature: bool = False
+    ) -> Sequence[PluginBundleDependency]:
+        """
+        Upload a plugin bundle and return the dependencies.
+        """
+        manager = PluginInstallationManager()
+        return manager.upload_bundle(tenant_id, bundle, verify_signature)
+
+    @staticmethod
+    def install_from_local_pkg(tenant_id: str, plugin_unique_identifiers: Sequence[str]):
+        manager = PluginInstallationManager()
+        return manager.install_from_identifiers(
+            tenant_id,
+            plugin_unique_identifiers,
+            PluginInstallationSource.Package,
+            [{}],
+        )
+
+    @staticmethod
+    def install_from_github(tenant_id: str, plugin_unique_identifier: str, repo: str, version: str, package: str):
+        """
+        Install plugin from github release package files,
+        returns plugin_unique_identifier
+        """
+        manager = PluginInstallationManager()
+        return manager.install_from_identifiers(
+            tenant_id,
+            [plugin_unique_identifier],
+            PluginInstallationSource.Github,
+            [
+                {
+                    "repo": repo,
+                    "version": version,
+                    "package": package,
+                }
+            ],
+        )
+
+    @staticmethod
+    def install_from_marketplace_pkg(
+        tenant_id: str, plugin_unique_identifiers: Sequence[str], verify_signature: bool = False
+    ):
+        """
+        Install plugin from marketplace package files,
+        returns installation task id
+        """
+        manager = PluginInstallationManager()
+
+        # check if already downloaded
+        for plugin_unique_identifier in plugin_unique_identifiers:
+            try:
+                manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier)
+                # already downloaded, skip
+            except Exception:
+                # plugin not installed, download and upload pkg
+                pkg = download_plugin_pkg(plugin_unique_identifier)
+                manager.upload_pkg(tenant_id, pkg, verify_signature)
+
+        return manager.install_from_identifiers(
+            tenant_id,
+            plugin_unique_identifiers,
+            PluginInstallationSource.Marketplace,
+            [
+                {
+                    "plugin_unique_identifier": plugin_unique_identifier,
+                }
+                for plugin_unique_identifier in plugin_unique_identifiers
+            ],
+        )
+
+    @staticmethod
+    def uninstall(tenant_id: str, plugin_installation_id: str) -> bool:
+        manager = PluginInstallationManager()
+        return manager.uninstall(tenant_id, plugin_installation_id)
+
+    @staticmethod
+    def check_tools_existence(tenant_id: str, provider_ids: Sequence[GenericProviderID]) -> Sequence[bool]:
+        """
+        Check if the tools exist
+        """
+        manager = PluginInstallationManager()
+        return manager.check_tools_existence(tenant_id, provider_ids)
diff --git a/api/services/tools/api_tools_manage_service.py b/api/services/tools/api_tools_manage_service.py
index 988f9df927..6f848d49c4 100644
--- a/api/services/tools/api_tools_manage_service.py
+++ b/api/services/tools/api_tools_manage_service.py
@@ -1,24 +1,24 @@
 import json
 import logging
 from collections.abc import Mapping
-from typing import Any, Optional, cast
+from typing import Any, cast
 
 from httpx import get
 
+from core.entities.provider_entities import ProviderConfig
 from core.model_runtime.utils.encoders import jsonable_encoder
-from core.tools.entities.api_entities import UserTool, UserToolProvider
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.custom_tool.provider import ApiToolProviderController
+from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_bundle import ApiToolBundle
 from core.tools.entities.tool_entities import (
     ApiProviderAuthType,
     ApiProviderSchemaType,
-    ToolCredentialsOption,
-    ToolProviderCredentials,
 )
-from core.tools.provider.api_tool_provider import ApiToolProviderController
 from core.tools.tool_label_manager import ToolLabelManager
 from core.tools.tool_manager import ToolManager
-from core.tools.utils.configuration import ToolConfigurationManager
+from core.tools.utils.configuration import ProviderConfigEncrypter
 from core.tools.utils.parser import ApiBasedToolSchemaParser
 from extensions.ext_database import db
 from models.tools import ApiToolProvider
@@ -41,28 +41,28 @@ class ApiToolManageService:
                 raise ValueError(f"invalid schema: {str(e)}")
 
             credentials_schema = [
-                ToolProviderCredentials(
+                ProviderConfig(
                     name="auth_type",
-                    type=ToolProviderCredentials.CredentialsType.SELECT,
+                    type=ProviderConfig.Type.SELECT,
                     required=True,
                     default="none",
                     options=[
-                        ToolCredentialsOption(value="none", label=I18nObject(en_US="None", zh_Hans="无")),
-                        ToolCredentialsOption(value="api_key", label=I18nObject(en_US="Api Key", zh_Hans="Api Key")),
+                        ProviderConfig.Option(value="none", label=I18nObject(en_US="None", zh_Hans="无")),
+                        ProviderConfig.Option(value="api_key", label=I18nObject(en_US="Api Key", zh_Hans="Api Key")),
                     ],
                     placeholder=I18nObject(en_US="Select auth type", zh_Hans="选择认证方式"),
                 ),
-                ToolProviderCredentials(
+                ProviderConfig(
                     name="api_key_header",
-                    type=ToolProviderCredentials.CredentialsType.TEXT_INPUT,
+                    type=ProviderConfig.Type.TEXT_INPUT,
                     required=False,
                     placeholder=I18nObject(en_US="Enter api key header", zh_Hans="输入 api key header，如：X-API-KEY"),
                     default="api_key",
                     help=I18nObject(en_US="HTTP header name for api key", zh_Hans="HTTP 头部字段名，用于传递 api key"),
                 ),
-                ToolProviderCredentials(
+                ProviderConfig(
                     name="api_key_value",
-                    type=ToolProviderCredentials.CredentialsType.TEXT_INPUT,
+                    type=ProviderConfig.Type.TEXT_INPUT,
                     required=False,
                     placeholder=I18nObject(en_US="Enter api key", zh_Hans="输入 api key"),
                     default="",
@@ -84,17 +84,14 @@ class ApiToolManageService:
             raise ValueError(f"invalid schema: {str(e)}")
 
     @staticmethod
-    def convert_schema_to_tool_bundles(
-        schema: str, extra_info: Optional[dict] = None
-    ) -> tuple[list[ApiToolBundle], str]:
+    def convert_schema_to_tool_bundles(schema: str, extra_info: dict | None = None) -> tuple[list[ApiToolBundle], str]:
         """
         convert schema to tool bundles
 
         :return: the list of tool bundles, description
         """
         try:
-            tool_bundles = ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema, extra_info=extra_info)
-            return tool_bundles
+            return ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema, extra_info=extra_info)
         except Exception as e:
             raise ValueError(f"invalid schema: {str(e)}")
 
@@ -167,8 +164,14 @@ class ApiToolManageService:
         provider_controller.load_bundled_tools(tool_bundles)
 
         # encrypt credentials
-        tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
-        encrypted_credentials = tool_configuration.encrypt_tool_credentials(credentials)
+        tool_configuration = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=list(provider_controller.get_credentials_schema()),
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
+        )
+
+        encrypted_credentials = tool_configuration.encrypt(credentials)
         db_provider.credentials_str = json.dumps(encrypted_credentials)
 
         db.session.add(db_provider)
@@ -198,18 +201,18 @@ class ApiToolManageService:
 
             # try to parse schema, avoid SSRF attack
             ApiToolManageService.parser_api_schema(schema)
-        except Exception as e:
+        except Exception:
             logger.exception("parse api schema error")
             raise ValueError("invalid schema, please check the url you provided")
 
         return {"schema": schema}
 
     @staticmethod
-    def list_api_tool_provider_tools(user_id: str, tenant_id: str, provider_name: str) -> list[UserTool]:
+    def list_api_tool_provider_tools(user_id: str, tenant_id: str, provider_name: str) -> list[ToolApiEntity]:
         """
         list api tool provider tools
         """
-        provider = (
+        provider: ApiToolProvider | None = (
             db.session.query(ApiToolProvider)
             .filter(
                 ApiToolProvider.tenant_id == tenant_id,
@@ -225,8 +228,9 @@ class ApiToolManageService:
         labels = ToolLabelManager.get_tool_labels(controller)
 
         return [
-            ToolTransformService.tool_to_user_tool(
+            ToolTransformService.convert_tool_entity_to_api_entity(
                 tool_bundle,
+                tenant_id=tenant_id,
                 labels=labels,
             )
             for tool_bundle in provider.tools
@@ -293,16 +297,21 @@ class ApiToolManageService:
         provider_controller.load_bundled_tools(tool_bundles)
 
         # get original credentials if exists
-        tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
+        tool_configuration = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=list(provider_controller.get_credentials_schema()),
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
+        )
 
-        original_credentials = tool_configuration.decrypt_tool_credentials(provider.credentials)
+        original_credentials = tool_configuration.decrypt(provider.credentials)
         masked_credentials = tool_configuration.mask_tool_credentials(original_credentials)
         # check if the credential has changed, save the original credential
         for name, value in credentials.items():
             if name in masked_credentials and value == masked_credentials[name]:
                 credentials[name] = original_credentials[name]
 
-        credentials = tool_configuration.encrypt_tool_credentials(credentials)
+        credentials = tool_configuration.encrypt(credentials)
         provider.credentials_str = json.dumps(credentials)
 
         db.session.add(provider)
@@ -363,7 +372,7 @@ class ApiToolManageService:
 
         try:
             tool_bundles, _ = ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema)
-        except Exception as e:
+        except Exception:
             raise ValueError("invalid schema")
 
         # get tool bundle
@@ -407,8 +416,13 @@ class ApiToolManageService:
 
         # decrypt credentials
         if db_provider.id:
-            tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
-            decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials)
+            tool_configuration = ProviderConfigEncrypter(
+                tenant_id=tenant_id,
+                config=list(provider_controller.get_credentials_schema()),
+                provider_type=provider_controller.provider_type.value,
+                provider_identity=provider_controller.entity.identity.name,
+            )
+            decrypted_credentials = tool_configuration.decrypt(credentials)
             # check if the credential has changed, save the original credential
             masked_credentials = tool_configuration.mask_tool_credentials(decrypted_credentials)
             for name, value in credentials.items():
@@ -419,20 +433,20 @@ class ApiToolManageService:
             provider_controller.validate_credentials_format(credentials)
             # get tool
             tool = provider_controller.get_tool(tool_name)
-            runtime_tool = tool.fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                    "tenant_id": tenant_id,
-                }
+            tool = tool.fork_tool_runtime(
+                runtime=ToolRuntime(
+                    credentials=credentials,
+                    tenant_id=tenant_id,
+                )
             )
-            result = runtime_tool.validate_credentials(credentials, parameters)
+            result = tool.validate_credentials(credentials, parameters)
         except Exception as e:
             return {"error": str(e)}
 
         return {"result": result or "empty response"}
 
     @staticmethod
-    def list_api_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]:
+    def list_api_tools(user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]:
         """
         list api tools
         """
@@ -441,7 +455,7 @@ class ApiToolManageService:
             db.session.query(ApiToolProvider).filter(ApiToolProvider.tenant_id == tenant_id).all() or []
         )
 
-        result: list[UserToolProvider] = []
+        result: list[ToolProviderApiEntity] = []
 
         for provider in db_providers:
             # convert provider controller to user provider
@@ -453,13 +467,13 @@ class ApiToolManageService:
             user_provider.labels = labels
 
             # add icon
-            ToolTransformService.repack_provider(user_provider)
+            ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_provider)
 
-            tools = provider_controller.get_tools(user_id=user_id, tenant_id=tenant_id)
+            tools = provider_controller.get_tools(tenant_id=tenant_id)
 
             for tool in tools or []:
                 user_provider.tools.append(
-                    ToolTransformService.tool_to_user_tool(
+                    ToolTransformService.convert_tool_entity_to_api_entity(
                         tenant_id=tenant_id, tool=tool, credentials=user_provider.original_credentials, labels=labels
                     )
                 )
diff --git a/api/services/tools/builtin_tools_manage_service.py b/api/services/tools/builtin_tools_manage_service.py
index 21adbb0074..5865aaf77a 100644
--- a/api/services/tools/builtin_tools_manage_service.py
+++ b/api/services/tools/builtin_tools_manage_service.py
@@ -2,19 +2,19 @@ import json
 import logging
 from pathlib import Path
 
-from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from configs import dify_config
 from core.helper.position_helper import is_filtered
 from core.model_runtime.utils.encoders import jsonable_encoder
-from core.tools.entities.api_entities import UserTool, UserToolProvider
+from core.plugin.entities.plugin import GenericProviderID, ToolProviderID
+from core.plugin.manager.exc import PluginDaemonClientSideError
+from core.tools.builtin_tool.providers._positions import BuiltinToolProviderSort
+from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity
 from core.tools.errors import ToolNotFoundError, ToolProviderCredentialValidationError, ToolProviderNotFoundError
-from core.tools.provider.builtin._positions import BuiltinToolProviderSort
-from core.tools.provider.tool_provider import ToolProviderController
 from core.tools.tool_label_manager import ToolLabelManager
 from core.tools.tool_manager import ToolManager
-from core.tools.utils.configuration import ToolConfigurationManager
+from core.tools.utils.configuration import ProviderConfigEncrypter
 from extensions.ext_database import db
 from models.tools import BuiltinToolProvider
 from services.tools.tools_transform_service import ToolTransformService
@@ -24,36 +24,38 @@ logger = logging.getLogger(__name__)
 
 class BuiltinToolManageService:
     @staticmethod
-    def list_builtin_tool_provider_tools(user_id: str, tenant_id: str, provider: str) -> list[UserTool]:
+    def list_builtin_tool_provider_tools(tenant_id: str, provider: str) -> list[ToolApiEntity]:
         """
         list builtin tool provider tools
+
+        :param user_id: the id of the user
+        :param tenant_id: the id of the tenant
+        :param provider: the name of the provider
+
+        :return: the list of tools
         """
-        provider_controller: ToolProviderController = ToolManager.get_builtin_provider(provider)
+        provider_controller = ToolManager.get_builtin_provider(provider, tenant_id)
         tools = provider_controller.get_tools()
 
-        tool_provider_configurations = ToolConfigurationManager(
-            tenant_id=tenant_id, provider_controller=provider_controller
+        tool_provider_configurations = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
         )
         # check if user has added the provider
-        builtin_provider = (
-            db.session.query(BuiltinToolProvider)
-            .filter(
-                BuiltinToolProvider.tenant_id == tenant_id,
-                BuiltinToolProvider.provider == provider,
-            )
-            .first()
-        )
+        builtin_provider = BuiltinToolManageService._fetch_builtin_provider(provider, tenant_id)
 
         credentials = {}
         if builtin_provider is not None:
             # get credentials
             credentials = builtin_provider.credentials
-            credentials = tool_provider_configurations.decrypt_tool_credentials(credentials)
+            credentials = tool_provider_configurations.decrypt(credentials)
 
-        result: list[UserTool] = []
+        result: list[ToolApiEntity] = []
         for tool in tools or []:
             result.append(
-                ToolTransformService.tool_to_user_tool(
+                ToolTransformService.convert_tool_entity_to_api_entity(
                     tool=tool,
                     credentials=credentials,
                     tenant_id=tenant_id,
@@ -64,14 +66,47 @@ class BuiltinToolManageService:
         return result
 
     @staticmethod
-    def list_builtin_provider_credentials_schema(provider_name):
+    def get_builtin_tool_provider_info(user_id: str, tenant_id: str, provider: str):
+        """
+        get builtin tool provider info
+        """
+        provider_controller = ToolManager.get_builtin_provider(provider, tenant_id)
+        tool_provider_configurations = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
+        )
+        # check if user has added the provider
+        builtin_provider = BuiltinToolManageService._fetch_builtin_provider(provider, tenant_id)
+
+        credentials = {}
+        if builtin_provider is not None:
+            # get credentials
+            credentials = builtin_provider.credentials
+            credentials = tool_provider_configurations.decrypt(credentials)
+
+        entity = ToolTransformService.builtin_provider_to_user_provider(
+            provider_controller=provider_controller,
+            db_provider=builtin_provider,
+            decrypt_credentials=True,
+        )
+
+        entity.original_credentials = {}
+
+        return entity
+
+    @staticmethod
+    def list_builtin_provider_credentials_schema(provider_name: str, tenant_id: str):
         """
         list builtin provider credentials schema
 
+        :param provider_name: the name of the provider
+        :param tenant_id: the id of the tenant
         :return: the list of tool providers
         """
-        provider = ToolManager.get_builtin_provider(provider_name)
-        return jsonable_encoder([v for _, v in (provider.credentials_schema or {}).items()])
+        provider = ToolManager.get_builtin_provider(provider_name, tenant_id)
+        return jsonable_encoder(provider.get_credentials_schema())
 
     @staticmethod
     def update_builtin_tool_provider(
@@ -81,31 +116,38 @@ class BuiltinToolManageService:
         update builtin tool provider
         """
         # get if the provider exists
-        stmt = select(BuiltinToolProvider).where(
-            BuiltinToolProvider.tenant_id == tenant_id,
-            BuiltinToolProvider.provider == provider_name,
-        )
-        provider = session.scalar(stmt)
+        provider = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id)
 
         try:
             # get provider
-            provider_controller = ToolManager.get_builtin_provider(provider_name)
+            provider_controller = ToolManager.get_builtin_provider(provider_name, tenant_id)
             if not provider_controller.need_credentials:
                 raise ValueError(f"provider {provider_name} does not need credentials")
-            tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
+            tool_configuration = ProviderConfigEncrypter(
+                tenant_id=tenant_id,
+                config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+                provider_type=provider_controller.provider_type.value,
+                provider_identity=provider_controller.entity.identity.name,
+            )
+
             # get original credentials if exists
             if provider is not None:
-                original_credentials = tool_configuration.decrypt_tool_credentials(provider.credentials)
+                original_credentials = tool_configuration.decrypt(provider.credentials)
                 masked_credentials = tool_configuration.mask_tool_credentials(original_credentials)
                 # check if the credential has changed, save the original credential
                 for name, value in credentials.items():
                     if name in masked_credentials and value == masked_credentials[name]:
                         credentials[name] = original_credentials[name]
             # validate credentials
-            provider_controller.validate_credentials(credentials)
+            provider_controller.validate_credentials(user_id, credentials)
             # encrypt credentials
-            credentials = tool_configuration.encrypt_tool_credentials(credentials)
-        except (ToolProviderNotFoundError, ToolNotFoundError, ToolProviderCredentialValidationError) as e:
+            credentials = tool_configuration.encrypt(credentials)
+        except (
+            PluginDaemonClientSideError,
+            ToolProviderNotFoundError,
+            ToolNotFoundError,
+            ToolProviderCredentialValidationError,
+        ) as e:
             raise ValueError(str(e))
 
         if provider is None:
@@ -117,14 +159,14 @@ class BuiltinToolManageService:
                 encrypted_credentials=json.dumps(credentials),
             )
 
-            session.add(provider)
-
+            db.session.add(provider)
         else:
             provider.encrypted_credentials = json.dumps(credentials)
 
             # delete cache
             tool_configuration.delete_tool_credentials_cache()
 
+        db.session.commit()
         return {"result": "success"}
 
     @staticmethod
@@ -132,21 +174,19 @@ class BuiltinToolManageService:
         """
         get builtin tool provider credentials
         """
-        provider = (
-            db.session.query(BuiltinToolProvider)
-            .filter(
-                BuiltinToolProvider.tenant_id == tenant_id,
-                BuiltinToolProvider.provider == provider_name,
-            )
-            .first()
-        )
+        provider_obj = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id)
 
-        if provider is None:
+        if provider_obj is None:
             return {}
 
-        provider_controller = ToolManager.get_builtin_provider(provider.provider)
-        tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
-        credentials = tool_configuration.decrypt_tool_credentials(provider.credentials)
+        provider_controller = ToolManager.get_builtin_provider(provider_obj.provider, tenant_id)
+        tool_configuration = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
+        )
+        credentials = tool_configuration.decrypt(provider_obj.credentials)
         credentials = tool_configuration.mask_tool_credentials(credentials)
         return credentials
 
@@ -155,24 +195,22 @@ class BuiltinToolManageService:
         """
         delete tool provider
         """
-        provider = (
-            db.session.query(BuiltinToolProvider)
-            .filter(
-                BuiltinToolProvider.tenant_id == tenant_id,
-                BuiltinToolProvider.provider == provider_name,
-            )
-            .first()
-        )
+        provider_obj = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id)
 
-        if provider is None:
+        if provider_obj is None:
             raise ValueError(f"you have not added provider {provider_name}")
 
-        db.session.delete(provider)
+        db.session.delete(provider_obj)
         db.session.commit()
 
         # delete cache
-        provider_controller = ToolManager.get_builtin_provider(provider_name)
-        tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller)
+        provider_controller = ToolManager.get_builtin_provider(provider_name, tenant_id)
+        tool_configuration = ProviderConfigEncrypter(
+            tenant_id=tenant_id,
+            config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+            provider_type=provider_controller.provider_type.value,
+            provider_identity=provider_controller.entity.identity.name,
+        )
         tool_configuration.delete_tool_credentials_cache()
 
         return {"result": "success"}
@@ -182,58 +220,59 @@ class BuiltinToolManageService:
         """
         get tool provider icon and it's mimetype
         """
-        icon_path, mime_type = ToolManager.get_builtin_provider_icon(provider)
+        icon_path, mime_type = ToolManager.get_hardcoded_provider_icon(provider)
         icon_bytes = Path(icon_path).read_bytes()
 
         return icon_bytes, mime_type
 
     @staticmethod
-    def list_builtin_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]:
+    def list_builtin_tools(user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]:
         """
         list builtin tools
         """
         # get all builtin providers
-        provider_controllers = ToolManager.list_builtin_providers()
+        provider_controllers = ToolManager.list_builtin_providers(tenant_id)
 
         # get all user added providers
         db_providers: list[BuiltinToolProvider] = (
             db.session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all() or []
         )
 
-        # find provider
-        find_provider = lambda provider: next(
-            filter(lambda db_provider: db_provider.provider == provider, db_providers), None
-        )
+        # rewrite db_providers
+        for db_provider in db_providers:
+            db_provider.provider = str(ToolProviderID(db_provider.provider))
 
-        result: list[UserToolProvider] = []
+        # find provider
+        def find_provider(provider):
+            return next(filter(lambda db_provider: db_provider.provider == provider, db_providers), None)
+
+        result: list[ToolProviderApiEntity] = []
 
         for provider_controller in provider_controllers:
             try:
                 # handle include, exclude
                 if is_filtered(
-                    include_set=dify_config.POSITION_TOOL_INCLUDES_SET,
-                    exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET,
+                    include_set=dify_config.POSITION_TOOL_INCLUDES_SET,  # type: ignore
+                    exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET,  # type: ignore
                     data=provider_controller,
                     name_func=lambda x: x.identity.name,
                 ):
                     continue
-                if provider_controller.identity is None:
-                    continue
 
                 # convert provider controller to user provider
                 user_builtin_provider = ToolTransformService.builtin_provider_to_user_provider(
                     provider_controller=provider_controller,
-                    db_provider=find_provider(provider_controller.identity.name),
+                    db_provider=find_provider(provider_controller.entity.identity.name),
                     decrypt_credentials=True,
                 )
 
                 # add icon
-                ToolTransformService.repack_provider(user_builtin_provider)
+                ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_builtin_provider)
 
                 tools = provider_controller.get_tools()
                 for tool in tools or []:
                     user_builtin_provider.tools.append(
-                        ToolTransformService.tool_to_user_tool(
+                        ToolTransformService.convert_tool_entity_to_api_entity(
                             tenant_id=tenant_id,
                             tool=tool,
                             credentials=user_builtin_provider.original_credentials,
@@ -246,3 +285,45 @@ class BuiltinToolManageService:
                 raise e
 
         return BuiltinToolProviderSort.sort(result)
+
+    @staticmethod
+    def _fetch_builtin_provider(provider_name: str, tenant_id: str) -> BuiltinToolProvider | None:
+        try:
+            full_provider_name = provider_name
+            provider_id_entity = GenericProviderID(provider_name)
+            provider_name = provider_id_entity.provider_name
+            if provider_id_entity.organization != "langgenius":
+                provider_obj = (
+                    db.session.query(BuiltinToolProvider)
+                    .filter(
+                        BuiltinToolProvider.tenant_id == tenant_id,
+                        BuiltinToolProvider.provider == full_provider_name,
+                    )
+                    .first()
+                )
+            else:
+                provider_obj = (
+                    db.session.query(BuiltinToolProvider)
+                    .filter(
+                        BuiltinToolProvider.tenant_id == tenant_id,
+                        (BuiltinToolProvider.provider == provider_name)
+                        | (BuiltinToolProvider.provider == full_provider_name),
+                    )
+                    .first()
+                )
+
+            if provider_obj is None:
+                return None
+
+            provider_obj.provider = GenericProviderID(provider_obj.provider).to_string()
+            return provider_obj
+        except Exception:
+            # it's an old provider without organization
+            return (
+                db.session.query(BuiltinToolProvider)
+                .filter(
+                    BuiltinToolProvider.tenant_id == tenant_id,
+                    (BuiltinToolProvider.provider == provider_name),
+                )
+                .first()
+            )
diff --git a/api/services/tools/tools_manage_service.py b/api/services/tools/tools_manage_service.py
index 1c67f7648c..59d5b50e23 100644
--- a/api/services/tools/tools_manage_service.py
+++ b/api/services/tools/tools_manage_service.py
@@ -1,6 +1,6 @@
 import logging
 
-from core.tools.entities.api_entities import UserToolProviderTypeLiteral
+from core.tools.entities.api_entities import ToolProviderTypeApiLiteral
 from core.tools.tool_manager import ToolManager
 from services.tools.tools_transform_service import ToolTransformService
 
@@ -9,17 +9,17 @@ logger = logging.getLogger(__name__)
 
 class ToolCommonService:
     @staticmethod
-    def list_tool_providers(user_id: str, tenant_id: str, typ: UserToolProviderTypeLiteral = None):
+    def list_tool_providers(user_id: str, tenant_id: str, typ: ToolProviderTypeApiLiteral = None):
         """
         list tool providers
 
         :return: the list of tool providers
         """
-        providers = ToolManager.user_list_providers(user_id, tenant_id, typ)
+        providers = ToolManager.list_providers_from_api(user_id, tenant_id, typ)
 
         # add icon
         for provider in providers:
-            ToolTransformService.repack_provider(provider)
+            ToolTransformService.repack_provider(tenant_id=tenant_id, provider=provider)
 
         result = [provider.to_dict() for provider in providers]
 
diff --git a/api/services/tools/tools_transform_service.py b/api/services/tools/tools_transform_service.py
index 6e3a45be0d..83a42ddfcb 100644
--- a/api/services/tools/tools_transform_service.py
+++ b/api/services/tools/tools_transform_service.py
@@ -2,47 +2,57 @@ import json
 import logging
 from typing import Optional, Union, cast
 
+from yarl import URL
+
 from configs import dify_config
-from core.tools.entities.api_entities import UserTool, UserToolProvider
+from core.tools.__base.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.builtin_tool.provider import BuiltinToolProviderController
+from core.tools.custom_tool.provider import ApiToolProviderController
+from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity
 from core.tools.entities.common_entities import I18nObject
 from core.tools.entities.tool_bundle import ApiToolBundle
 from core.tools.entities.tool_entities import (
     ApiProviderAuthType,
     ToolParameter,
-    ToolProviderCredentials,
     ToolProviderType,
 )
-from core.tools.provider.api_tool_provider import ApiToolProviderController
-from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
-from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController
-from core.tools.tool.tool import Tool
-from core.tools.tool.workflow_tool import WorkflowTool
-from core.tools.utils.configuration import ToolConfigurationManager
+from core.tools.plugin_tool.provider import PluginToolProviderController
+from core.tools.utils.configuration import ProviderConfigEncrypter
+from core.tools.workflow_as_tool.provider import WorkflowToolProviderController
+from core.tools.workflow_as_tool.tool import WorkflowTool
 from models.tools import ApiToolProvider, BuiltinToolProvider, WorkflowToolProvider
 
 logger = logging.getLogger(__name__)
 
 
 class ToolTransformService:
-    @staticmethod
-    def get_tool_provider_icon_url(provider_type: str, provider_name: str, icon: str) -> Union[str, dict]:
+    @classmethod
+    def get_plugin_icon_url(cls, tenant_id: str, filename: str) -> str:
+        url_prefix = URL(dify_config.CONSOLE_API_URL) / "console" / "api" / "workspaces" / "current" / "plugin" / "icon"
+        return str(url_prefix % {"tenant_id": tenant_id, "filename": filename})
+
+    @classmethod
+    def get_tool_provider_icon_url(cls, provider_type: str, provider_name: str, icon: str | dict) -> Union[str, dict]:
         """
         get tool provider icon url
         """
-        url_prefix = dify_config.CONSOLE_API_URL + "/console/api/workspaces/current/tool-provider/"
+        url_prefix = URL(dify_config.CONSOLE_API_URL) / "console" / "api" / "workspaces" / "current" / "tool-provider"
 
         if provider_type == ToolProviderType.BUILT_IN.value:
-            return url_prefix + "builtin/" + provider_name + "/icon"
+            return str(url_prefix / "builtin" / provider_name / "icon")
         elif provider_type in {ToolProviderType.API.value, ToolProviderType.WORKFLOW.value}:
             try:
-                return cast(dict, json.loads(icon))
-            except:
+                if isinstance(icon, str):
+                    return cast(dict, json.loads(icon))
+                return icon
+            except Exception:
                 return {"background": "#252525", "content": "\ud83d\ude01"}
 
         return ""
 
     @staticmethod
-    def repack_provider(provider: Union[dict, UserToolProvider]):
+    def repack_provider(tenant_id: str, provider: Union[dict, ToolProviderApiEntity]):
         """
         repack provider
 
@@ -52,55 +62,52 @@ class ToolTransformService:
             provider["icon"] = ToolTransformService.get_tool_provider_icon_url(
                 provider_type=provider["type"], provider_name=provider["name"], icon=provider["icon"]
             )
-        elif isinstance(provider, UserToolProvider):
-            provider.icon = cast(
-                str,
-                ToolTransformService.get_tool_provider_icon_url(
+        elif isinstance(provider, ToolProviderApiEntity):
+            if provider.plugin_id:
+                if isinstance(provider.icon, str):
+                    provider.icon = ToolTransformService.get_plugin_icon_url(
+                        tenant_id=tenant_id, filename=provider.icon
+                    )
+            else:
+                provider.icon = ToolTransformService.get_tool_provider_icon_url(
                     provider_type=provider.type.value, provider_name=provider.name, icon=provider.icon
-                ),
-            )
+                )
 
-    @staticmethod
+    @classmethod
     def builtin_provider_to_user_provider(
-        provider_controller: BuiltinToolProviderController,
+        cls,
+        provider_controller: BuiltinToolProviderController | PluginToolProviderController,
         db_provider: Optional[BuiltinToolProvider],
         decrypt_credentials: bool = True,
-    ) -> UserToolProvider:
+    ) -> ToolProviderApiEntity:
         """
         convert provider controller to user provider
         """
-        if provider_controller.identity is None:
-            raise ValueError("provider identity is None")
-
-        result = UserToolProvider(
-            id=provider_controller.identity.name,
-            author=provider_controller.identity.author,
-            name=provider_controller.identity.name,
-            description=I18nObject(
-                en_US=provider_controller.identity.description.en_US,
-                zh_Hans=provider_controller.identity.description.zh_Hans,
-                pt_BR=provider_controller.identity.description.pt_BR,
-                ja_JP=provider_controller.identity.description.ja_JP,
-            ),
-            icon=provider_controller.identity.icon,
-            label=I18nObject(
-                en_US=provider_controller.identity.label.en_US,
-                zh_Hans=provider_controller.identity.label.zh_Hans,
-                pt_BR=provider_controller.identity.label.pt_BR,
-                ja_JP=provider_controller.identity.label.ja_JP,
-            ),
+        result = ToolProviderApiEntity(
+            id=provider_controller.entity.identity.name,
+            author=provider_controller.entity.identity.author,
+            name=provider_controller.entity.identity.name,
+            description=provider_controller.entity.identity.description,
+            icon=provider_controller.entity.identity.icon,
+            label=provider_controller.entity.identity.label,
             type=ToolProviderType.BUILT_IN,
             masked_credentials={},
             is_team_authorization=False,
+            plugin_id=None,
             tools=[],
             labels=provider_controller.tool_labels,
         )
 
+        if isinstance(provider_controller, PluginToolProviderController):
+            result.plugin_id = provider_controller.plugin_id
+            result.plugin_unique_identifier = provider_controller.plugin_unique_identifier
+
         # get credentials schema
-        schema = provider_controller.get_credentials_schema()
+        schema = {x.to_basic_provider_config().name: x for x in provider_controller.get_credentials_schema()}
+
         for name, value in schema.items():
-            assert result.masked_credentials is not None, "masked credentials is None"
-            result.masked_credentials[name] = ToolProviderCredentials.CredentialsType.default(str(value.type))
+            if result.masked_credentials:
+                result.masked_credentials[name] = ""
 
         # check if the provider need credentials
         if not provider_controller.need_credentials:
@@ -113,12 +120,15 @@ class ToolTransformService:
                 credentials = db_provider.credentials
 
                 # init tool configuration
-                tool_configuration = ToolConfigurationManager(
-                    tenant_id=db_provider.tenant_id, provider_controller=provider_controller
+                tool_configuration = ProviderConfigEncrypter(
+                    tenant_id=db_provider.tenant_id,
+                    config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+                    provider_type=provider_controller.provider_type.value,
+                    provider_identity=provider_controller.entity.identity.name,
                 )
                 # decrypt the credentials and mask the credentials
-                decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials=credentials)
-                masked_credentials = tool_configuration.mask_tool_credentials(credentials=decrypted_credentials)
+                decrypted_credentials = tool_configuration.decrypt(data=credentials)
+                masked_credentials = tool_configuration.mask_tool_credentials(data=decrypted_credentials)
 
                 result.masked_credentials = masked_credentials
                 result.original_credentials = decrypted_credentials
@@ -151,41 +161,35 @@ class ToolTransformService:
 
     @staticmethod
     def workflow_provider_to_user_provider(
-        provider_controller: WorkflowToolProviderController, labels: Optional[list[str]] = None
+        provider_controller: WorkflowToolProviderController, labels: list[str] | None = None
     ):
         """
         convert provider controller to user provider
         """
-        if provider_controller.identity is None:
-            raise ValueError("provider identity is None")
-
-        return UserToolProvider(
+        return ToolProviderApiEntity(
             id=provider_controller.provider_id,
-            author=provider_controller.identity.author,
-            name=provider_controller.identity.name,
-            description=I18nObject(
-                en_US=provider_controller.identity.description.en_US,
-                zh_Hans=provider_controller.identity.description.zh_Hans,
-            ),
-            icon=provider_controller.identity.icon,
-            label=I18nObject(
-                en_US=provider_controller.identity.label.en_US,
-                zh_Hans=provider_controller.identity.label.zh_Hans,
-            ),
+            author=provider_controller.entity.identity.author,
+            name=provider_controller.entity.identity.name,
+            description=provider_controller.entity.identity.description,
+            icon=provider_controller.entity.identity.icon,
+            label=provider_controller.entity.identity.label,
             type=ToolProviderType.WORKFLOW,
             masked_credentials={},
             is_team_authorization=True,
+            plugin_id=None,
+            plugin_unique_identifier=None,
             tools=[],
             labels=labels or [],
         )
 
-    @staticmethod
+    @classmethod
     def api_provider_to_user_provider(
+        cls,
         provider_controller: ApiToolProviderController,
         db_provider: ApiToolProvider,
         decrypt_credentials: bool = True,
-        labels: Optional[list[str]] = None,
-    ) -> UserToolProvider:
+        labels: list[str] | None = None,
+    ) -> ToolProviderApiEntity:
         """
         convert provider controller to user provider
         """
@@ -193,12 +197,16 @@ class ToolTransformService:
         if db_provider.user is None:
             raise ValueError(f"user is None for api provider {db_provider.id}")
         try:
-            username = db_provider.user.name
-        except Exception as e:
+            user = db_provider.user
+            if not user:
+                raise ValueError("user not found")
+
+            username = user.name
+        except Exception:
             logger.exception(f"failed to get user name for api provider {db_provider.id}")
         # add provider into providers
         credentials = db_provider.credentials
-        result = UserToolProvider(
+        result = ToolProviderApiEntity(
             id=db_provider.id,
             author=username,
             name=db_provider.name,
@@ -212,6 +220,8 @@ class ToolTransformService:
                 zh_Hans=db_provider.name,
             ),
             type=ToolProviderType.API,
+            plugin_id=None,
+            plugin_unique_identifier=None,
             masked_credentials={},
             is_team_authorization=True,
             tools=[],
@@ -220,39 +230,42 @@ class ToolTransformService:
 
         if decrypt_credentials:
             # init tool configuration
-            tool_configuration = ToolConfigurationManager(
-                tenant_id=db_provider.tenant_id, provider_controller=provider_controller
+            tool_configuration = ProviderConfigEncrypter(
+                tenant_id=db_provider.tenant_id,
+                config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()],
+                provider_type=provider_controller.provider_type.value,
+                provider_identity=provider_controller.entity.identity.name,
             )
 
             # decrypt the credentials and mask the credentials
-            decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials=credentials)
-            masked_credentials = tool_configuration.mask_tool_credentials(credentials=decrypted_credentials)
+            decrypted_credentials = tool_configuration.decrypt(data=credentials)
+            masked_credentials = tool_configuration.mask_tool_credentials(data=decrypted_credentials)
 
             result.masked_credentials = masked_credentials
 
         return result
 
     @staticmethod
-    def tool_to_user_tool(
+    def convert_tool_entity_to_api_entity(
         tool: Union[ApiToolBundle, WorkflowTool, Tool],
-        credentials: Optional[dict] = None,
-        tenant_id: Optional[str] = None,
-        labels: Optional[list[str]] = None,
-    ) -> UserTool:
+        tenant_id: str,
+        credentials: dict | None = None,
+        labels: list[str] | None = None,
+    ) -> ToolApiEntity:
         """
         convert tool to user tool
         """
         if isinstance(tool, Tool):
             # fork tool runtime
             tool = tool.fork_tool_runtime(
-                runtime={
-                    "credentials": credentials,
-                    "tenant_id": tenant_id,
-                }
+                runtime=ToolRuntime(
+                    credentials=credentials or {},
+                    tenant_id=tenant_id,
+                )
             )
 
             # get tool parameters
-            parameters = tool.parameters or []
+            parameters = tool.entity.parameters or []
             # get tool runtime parameters
             runtime_parameters = tool.get_runtime_parameters()
             # override parameters
@@ -268,23 +281,21 @@ class ToolTransformService:
                 if not found and runtime_parameter.form == ToolParameter.ToolParameterForm.FORM:
                     current_parameters.append(runtime_parameter)
 
-            if tool.identity is None:
-                raise ValueError("tool identity is None")
-
-            return UserTool(
-                author=tool.identity.author,
-                name=tool.identity.name,
-                label=tool.identity.label,
-                description=tool.description.human if tool.description else "",  # type: ignore
+            return ToolApiEntity(
+                author=tool.entity.identity.author,
+                name=tool.entity.identity.name,
+                label=tool.entity.identity.label,
+                description=tool.entity.description.human if tool.entity.description else I18nObject(en_US=""),
+                output_schema=tool.entity.output_schema,
                 parameters=current_parameters,
-                labels=labels,
+                labels=labels or [],
             )
         if isinstance(tool, ApiToolBundle):
-            return UserTool(
+            return ToolApiEntity(
                 author=tool.author,
                 name=tool.operation_id or "",
-                label=I18nObject(en_US=tool.operation_id or "", zh_Hans=tool.operation_id or ""),
+                label=I18nObject(en_US=tool.operation_id, zh_Hans=tool.operation_id),
                 description=I18nObject(en_US=tool.summary or "", zh_Hans=tool.summary or ""),
                 parameters=tool.parameters,
-                labels=labels,
+                labels=labels or [],
             )
diff --git a/api/services/tools/workflow_tools_manage_service.py b/api/services/tools/workflow_tools_manage_service.py
index 69430de432..e486ed7b8c 100644
--- a/api/services/tools/workflow_tools_manage_service.py
+++ b/api/services/tools/workflow_tools_manage_service.py
@@ -1,17 +1,17 @@
 import json
 from collections.abc import Mapping
 from datetime import datetime
-from typing import Any, Optional
+from typing import Any
 
 from sqlalchemy import or_
 
 from core.model_runtime.utils.encoders import jsonable_encoder
-from core.tools.entities.api_entities import UserTool, UserToolProvider
-from core.tools.provider.tool_provider import ToolProviderController
-from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController
-from core.tools.tool.tool import Tool
+from core.tools.__base.tool_provider import ToolProviderController
+from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity
 from core.tools.tool_label_manager import ToolLabelManager
 from core.tools.utils.workflow_configuration_sync import WorkflowToolConfigurationUtils
+from core.tools.workflow_as_tool.provider import WorkflowToolProviderController
+from core.tools.workflow_as_tool.tool import WorkflowTool
 from extensions.ext_database import db
 from models.model import App
 from models.tools import WorkflowToolProvider
@@ -36,7 +36,7 @@ class WorkflowToolManageService:
         description: str,
         parameters: list[Mapping[str, Any]],
         privacy_policy: str = "",
-        labels: Optional[list[str]] = None,
+        labels: list[str] | None = None,
     ) -> dict:
         WorkflowToolConfigurationUtils.check_parameter_configurations(parameters)
 
@@ -54,11 +54,12 @@ class WorkflowToolManageService:
         if existing_workflow_tool_provider is not None:
             raise ValueError(f"Tool with name {name} or app_id {workflow_app_id} already exists")
 
-        app = db.session.query(App).filter(App.id == workflow_app_id, App.tenant_id == tenant_id).first()
+        app: App | None = db.session.query(App).filter(App.id == workflow_app_id, App.tenant_id == tenant_id).first()
+
         if app is None:
             raise ValueError(f"App {workflow_app_id} not found")
 
-        workflow = app.workflow
+        workflow: Workflow | None = app.workflow
         if workflow is None:
             raise ValueError(f"Workflow not found for app {workflow_app_id}")
 
@@ -101,7 +102,7 @@ class WorkflowToolManageService:
         description: str,
         parameters: list[Mapping[str, Any]],
         privacy_policy: str = "",
-        labels: Optional[list[str]] = None,
+        labels: list[str] | None = None,
     ) -> dict:
         """
         Update a workflow tool.
@@ -133,7 +134,7 @@ class WorkflowToolManageService:
         if existing_workflow_tool_provider is not None:
             raise ValueError(f"Tool with name {name} already exists")
 
-        workflow_tool_provider: Optional[WorkflowToolProvider] = (
+        workflow_tool_provider: WorkflowToolProvider | None = (
             db.session.query(WorkflowToolProvider)
             .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id)
             .first()
@@ -142,14 +143,14 @@ class WorkflowToolManageService:
         if workflow_tool_provider is None:
             raise ValueError(f"Tool {workflow_tool_id} not found")
 
-        app: Optional[App] = (
+        app: App | None = (
             db.session.query(App).filter(App.id == workflow_tool_provider.app_id, App.tenant_id == tenant_id).first()
         )
 
         if app is None:
             raise ValueError(f"App {workflow_tool_provider.app_id} not found")
 
-        workflow: Optional[Workflow] = app.workflow
+        workflow: Workflow | None = app.workflow
         if workflow is None:
             raise ValueError(f"Workflow not found for app {workflow_tool_provider.app_id}")
 
@@ -178,7 +179,7 @@ class WorkflowToolManageService:
         return {"result": "success"}
 
     @classmethod
-    def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[UserToolProvider]:
+    def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]:
         """
         List workflow tools.
         :param user_id: the user id
@@ -187,11 +188,11 @@ class WorkflowToolManageService:
         """
         db_tools = db.session.query(WorkflowToolProvider).filter(WorkflowToolProvider.tenant_id == tenant_id).all()
 
-        tools = []
+        tools: list[WorkflowToolProviderController] = []
         for provider in db_tools:
             try:
                 tools.append(ToolTransformService.workflow_provider_to_controller(provider))
-            except:
+            except Exception:
                 # skip deleted tools
                 pass
 
@@ -203,12 +204,13 @@ class WorkflowToolManageService:
             user_tool_provider = ToolTransformService.workflow_provider_to_user_provider(
                 provider_controller=tool, labels=labels.get(tool.provider_id, [])
             )
-            ToolTransformService.repack_provider(user_tool_provider)
-            to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id)
-            if to_user_tool is None or len(to_user_tool) == 0:
-                continue
+            ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_tool_provider)
             user_tool_provider.tools = [
-                ToolTransformService.tool_to_user_tool(to_user_tool[0], labels=labels.get(tool.provider_id, []))
+                ToolTransformService.convert_tool_entity_to_api_entity(
+                    tool=tool.get_tools(tenant_id)[0],
+                    labels=labels.get(tool.provider_id, []),
+                    tenant_id=tenant_id,
+                )
             ]
             result.append(user_tool_provider)
 
@@ -239,42 +241,12 @@ class WorkflowToolManageService:
         :param workflow_app_id: the workflow app id
         :return: the tool
         """
-        db_tool: Optional[WorkflowToolProvider] = (
+        db_tool: WorkflowToolProvider | None = (
             db.session.query(WorkflowToolProvider)
             .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id)
             .first()
         )
-
-        if db_tool is None:
-            raise ValueError(f"Tool {workflow_tool_id} not found")
-
-        workflow_app: Optional[App] = (
-            db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == tenant_id).first()
-        )
-
-        if workflow_app is None:
-            raise ValueError(f"App {db_tool.app_id} not found")
-
-        tool = ToolTransformService.workflow_provider_to_controller(db_tool)
-
-        to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id)
-        if to_user_tool is None or len(to_user_tool) == 0:
-            raise ValueError(f"Tool {workflow_tool_id} not found")
-
-        return {
-            "name": db_tool.name,
-            "label": db_tool.label,
-            "workflow_tool_id": db_tool.id,
-            "workflow_app_id": db_tool.app_id,
-            "icon": json.loads(db_tool.icon),
-            "description": db_tool.description,
-            "parameters": jsonable_encoder(db_tool.parameter_configurations),
-            "tool": ToolTransformService.tool_to_user_tool(
-                to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool)
-            ),
-            "synced": workflow_app.workflow.version == db_tool.version if workflow_app.workflow else False,
-            "privacy_policy": db_tool.privacy_policy,
-        }
+        return cls._get_workflow_tool(tenant_id, db_tool)
 
     @classmethod
     def get_workflow_tool_by_app_id(cls, user_id: str, tenant_id: str, workflow_app_id: str) -> dict:
@@ -285,26 +257,38 @@ class WorkflowToolManageService:
         :param workflow_app_id: the workflow app id
         :return: the tool
         """
-        db_tool: Optional[WorkflowToolProvider] = (
+        db_tool: WorkflowToolProvider | None = (
             db.session.query(WorkflowToolProvider)
             .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.app_id == workflow_app_id)
             .first()
         )
+        return cls._get_workflow_tool(tenant_id, db_tool)
 
+    @classmethod
+    def _get_workflow_tool(cls, tenant_id: str, db_tool: WorkflowToolProvider | None) -> dict:
+        """
+        Get a workflow tool.
+        :db_tool: the database tool
+        :return: the tool
+        """
         if db_tool is None:
-            raise ValueError(f"Tool {workflow_app_id} not found")
+            raise ValueError("Tool not found")
 
-        workflow_app: Optional[App] = (
-            db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == tenant_id).first()
+        workflow_app: App | None = (
+            db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == db_tool.tenant_id).first()
         )
 
         if workflow_app is None:
             raise ValueError(f"App {db_tool.app_id} not found")
 
+        workflow = workflow_app.workflow
+        if not workflow:
+            raise ValueError("Workflow not found")
+
         tool = ToolTransformService.workflow_provider_to_controller(db_tool)
-        to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id)
-        if to_user_tool is None or len(to_user_tool) == 0:
-            raise ValueError(f"Tool {workflow_app_id} not found")
+        workflow_tools: list[WorkflowTool] = tool.get_tools(tenant_id)
+        if len(workflow_tools) == 0:
+            raise ValueError(f"Tool {db_tool.id} not found")
 
         return {
             "name": db_tool.name,
@@ -314,15 +298,17 @@ class WorkflowToolManageService:
             "icon": json.loads(db_tool.icon),
             "description": db_tool.description,
             "parameters": jsonable_encoder(db_tool.parameter_configurations),
-            "tool": ToolTransformService.tool_to_user_tool(
-                to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool)
+            "tool": ToolTransformService.convert_tool_entity_to_api_entity(
+                tool=tool.get_tools(db_tool.tenant_id)[0],
+                labels=ToolLabelManager.get_tool_labels(tool),
+                tenant_id=tenant_id,
             ),
-            "synced": workflow_app.workflow.version == db_tool.version if workflow_app.workflow else False,
+            "synced": workflow.version == db_tool.version,
             "privacy_policy": db_tool.privacy_policy,
         }
 
     @classmethod
-    def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_id: str) -> list[UserTool]:
+    def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_id: str) -> list[ToolApiEntity]:
         """
         List workflow tool provider tools.
         :param user_id: the user id
@@ -330,7 +316,7 @@ class WorkflowToolManageService:
         :param workflow_app_id: the workflow app id
         :return: the list of tools
         """
-        db_tool: Optional[WorkflowToolProvider] = (
+        db_tool: WorkflowToolProvider | None = (
             db.session.query(WorkflowToolProvider)
             .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id)
             .first()
@@ -340,8 +326,14 @@ class WorkflowToolManageService:
             raise ValueError(f"Tool {workflow_tool_id} not found")
 
         tool = ToolTransformService.workflow_provider_to_controller(db_tool)
-        to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id)
-        if to_user_tool is None or len(to_user_tool) == 0:
+        workflow_tools: list[WorkflowTool] = tool.get_tools(tenant_id)
+        if len(workflow_tools) == 0:
             raise ValueError(f"Tool {workflow_tool_id} not found")
 
-        return [ToolTransformService.tool_to_user_tool(to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool))]
+        return [
+            ToolTransformService.convert_tool_entity_to_api_entity(
+                tool=tool.get_tools(db_tool.tenant_id)[0],
+                labels=ToolLabelManager.get_tool_labels(tool),
+                tenant_id=tenant_id,
+            )
+        ]
diff --git a/api/services/workflow_run_service.py b/api/services/workflow_run_service.py
index 4343596a23..0ddd18ea27 100644
--- a/api/services/workflow_run_service.py
+++ b/api/services/workflow_run_service.py
@@ -1,5 +1,7 @@
+import threading
 from typing import Optional
 
+import contexts
 from extensions.ext_database import db
 from libs.infinite_scroll_pagination import InfiniteScrollPagination
 from models.enums import WorkflowRunTriggeredFrom
@@ -119,6 +121,9 @@ class WorkflowRunService:
         """
         workflow_run = self.get_workflow_run(app_model, run_id)
 
+        contexts.plugin_tool_providers.set({})
+        contexts.plugin_tool_providers_lock.set(threading.Lock())
+
         if not workflow_run:
             return []
 
diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py
index 9f7a9c770d..8380e46599 100644
--- a/api/services/workflow_service.py
+++ b/api/services/workflow_service.py
@@ -1,8 +1,8 @@
 import json
 import time
-from collections.abc import Sequence
+from collections.abc import Callable, Generator, Sequence
 from datetime import UTC, datetime
-from typing import Any, Optional, cast
+from typing import Any, Optional
 from uuid import uuid4
 
 from sqlalchemy import desc
@@ -13,11 +13,12 @@ from core.model_runtime.utils.encoders import jsonable_encoder
 from core.variables import Variable
 from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.errors import WorkflowNodeRunFailedError
+from core.workflow.graph_engine.entities.event import InNodeEvent
 from core.workflow.nodes import NodeType
-from core.workflow.nodes.base.entities import BaseNodeData
 from core.workflow.nodes.base.node import BaseNode
 from core.workflow.nodes.enums import ErrorStrategy
 from core.workflow.nodes.event import RunCompletedEvent
+from core.workflow.nodes.event.types import NodeEvent
 from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING
 from core.workflow.workflow_entry import WorkflowEntry
 from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated
@@ -246,14 +247,69 @@ class WorkflowService:
         # run draft workflow node
         start_at = time.perf_counter()
 
-        try:
-            node_instance, generator = WorkflowEntry.single_step_run(
+        workflow_node_execution = self._handle_node_run_result(
+            getter=lambda: WorkflowEntry.single_step_run(
                 workflow=draft_workflow,
                 node_id=node_id,
                 user_inputs=user_inputs,
                 user_id=account.id,
-            )
-            node_instance = cast(BaseNode[BaseNodeData], node_instance)
+            ),
+            start_at=start_at,
+            tenant_id=app_model.tenant_id,
+            node_id=node_id,
+        )
+
+        workflow_node_execution.app_id = app_model.id
+        workflow_node_execution.created_by = account.id
+        workflow_node_execution.workflow_id = draft_workflow.id
+
+        db.session.add(workflow_node_execution)
+        db.session.commit()
+
+        return workflow_node_execution
+
+    def run_free_workflow_node(
+        self, node_data: dict, tenant_id: str, user_id: str, node_id: str, user_inputs: dict[str, Any]
+    ) -> WorkflowNodeExecution:
+        """
+        Run draft workflow node
+        """
+        # run draft workflow node
+        start_at = time.perf_counter()
+
+        workflow_node_execution = self._handle_node_run_result(
+            getter=lambda: WorkflowEntry.run_free_node(
+                node_id=node_id,
+                node_data=node_data,
+                tenant_id=tenant_id,
+                user_id=user_id,
+                user_inputs=user_inputs,
+            ),
+            start_at=start_at,
+            tenant_id=tenant_id,
+            node_id=node_id,
+        )
+
+        return workflow_node_execution
+
+    def _handle_node_run_result(
+        self,
+        getter: Callable[[], tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]],
+        start_at: float,
+        tenant_id: str,
+        node_id: str,
+    ) -> WorkflowNodeExecution:
+        """
+        Handle node run result
+
+        :param getter: Callable[[], tuple[BaseNode, Generator[RunEvent | InNodeEvent, None, None]]]
+        :param start_at: float
+        :param tenant_id: str
+        :param node_id: str
+        """
+        try:
+            node_instance, generator = getter()
+
             node_run_result: NodeRunResult | None = None
             for event in generator:
                 if isinstance(event, RunCompletedEvent):
@@ -303,9 +359,7 @@ class WorkflowService:
 
         workflow_node_execution = WorkflowNodeExecution()
         workflow_node_execution.id = str(uuid4())
-        workflow_node_execution.tenant_id = app_model.tenant_id
-        workflow_node_execution.app_id = app_model.id
-        workflow_node_execution.workflow_id = draft_workflow.id
+        workflow_node_execution.tenant_id = tenant_id
         workflow_node_execution.triggered_from = WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP.value
         workflow_node_execution.index = 1
         workflow_node_execution.node_id = node_id
@@ -313,7 +367,6 @@ class WorkflowService:
         workflow_node_execution.title = node_instance.node_data.title
         workflow_node_execution.elapsed_time = time.perf_counter() - start_at
         workflow_node_execution.created_by_role = CreatedByRole.ACCOUNT.value
-        workflow_node_execution.created_by = account.id
         workflow_node_execution.created_at = datetime.now(UTC).replace(tzinfo=None)
         workflow_node_execution.finished_at = datetime.now(UTC).replace(tzinfo=None)
         if run_succeeded and node_run_result:
@@ -342,9 +395,6 @@ class WorkflowService:
             workflow_node_execution.status = WorkflowNodeExecutionStatus.FAILED.value
             workflow_node_execution.error = error
 
-        db.session.add(workflow_node_execution)
-        db.session.commit()
-
         return workflow_node_execution
 
     def convert_to_workflow(self, app_model: App, account: Account, args: dict) -> App:
diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py
index e2d2392797..40356b9731 100644
--- a/api/tasks/batch_create_segment_to_index_task.py
+++ b/api/tasks/batch_create_segment_to_index_task.py
@@ -73,43 +73,49 @@ def batch_create_segment_to_index_task(
             max_position_stmt = select(func.max(DocumentSegment.position)).where(
                 DocumentSegment.document_id == dataset_document.id
             )
-            max_position = session.scalar(max_position_stmt) or 1
-            for segment in content:
-                content_str = segment["content"]
-                doc_id = str(uuid.uuid4())
-                segment_hash = helper.generate_text_hash(content_str)
-                # calc embedding use tokens
-                tokens = embedding_model.get_text_embedding_num_tokens(texts=[content_str]) if embedding_model else 0
-                segment_document = DocumentSegment(
-                    tenant_id=tenant_id,
-                    dataset_id=dataset_id,
-                    document_id=document_id,
-                    index_node_id=doc_id,
-                    index_node_hash=segment_hash,
-                    position=max_position,
-                    content=content_str,
-                    word_count=len(content_str),
-                    tokens=tokens,
-                    created_by=user_id,
-                    indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
-                    status="completed",
-                    completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
-                )
-                max_position += 1
-                if dataset_document.doc_form == "qa_model":
-                    segment_document.answer = segment["answer"]
-                    segment_document.word_count += len(segment["answer"])
-                word_count_change += segment_document.word_count
-                session.add(segment_document)
-                document_segments.append(segment_document)
-                segments_to_insert.append(str(segment))  # Cast to string if needed
-            # update document word count
-            dataset_document.word_count += word_count_change
-            session.add(dataset_document)
-            # add index to db
-            VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form)
-            session.commit()
-
+        word_count_change = 0
+        if embedding_model:
+            tokens_list = embedding_model.get_text_embedding_num_tokens(
+                texts=[segment["content"] for segment in content]
+            )
+        else:
+            tokens_list = [0] * len(content)
+        for segment, tokens in zip(content, tokens_list):
+            content = segment["content"]
+            doc_id = str(uuid.uuid4())
+            segment_hash = helper.generate_text_hash(content)  # type: ignore
+            max_position = (
+                db.session.query(func.max(DocumentSegment.position))
+                .filter(DocumentSegment.document_id == dataset_document.id)
+                .scalar()
+            )
+            segment_document = DocumentSegment(
+                tenant_id=tenant_id,
+                dataset_id=dataset_id,
+                document_id=document_id,
+                index_node_id=doc_id,
+                index_node_hash=segment_hash,
+                position=max_position + 1 if max_position else 1,
+                content=content,
+                word_count=len(content),
+                tokens=tokens,
+                created_by=user_id,
+                indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
+                status="completed",
+                completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
+            )
+            if dataset_document.doc_form == "qa_model":
+                segment_document.answer = segment["answer"]
+                segment_document.word_count += len(segment["answer"])
+            word_count_change += segment_document.word_count
+            db.session.add(segment_document)
+            document_segments.append(segment_document)
+        # update document word count
+        dataset_document.word_count += word_count_change
+        db.session.add(dataset_document)
+        # add index to db
+        VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form)
+        db.session.commit()
         redis_client.setex(indexing_cache_key, 600, "completed")
         end_at = time.perf_counter()
         logging.info(
@@ -118,6 +124,6 @@ def batch_create_segment_to_index_task(
                 fg="green",
             )
         )
-    except Exception as e:
+    except Exception:
         logging.exception("Segments batch created index failed")
         redis_client.setex(indexing_cache_key, 600, "error")
diff --git a/api/tasks/clean_dataset_task.py b/api/tasks/clean_dataset_task.py
index dfc7a896fc..4d77f1fb65 100644
--- a/api/tasks/clean_dataset_task.py
+++ b/api/tasks/clean_dataset_task.py
@@ -5,7 +5,7 @@ import click
 from celery import shared_task  # type: ignore
 
 from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
-from core.tools.utils.web_reader_tool import get_image_upload_file_ids
+from core.tools.utils.rag_web_reader import get_image_upload_file_ids
 from extensions.ext_database import db
 from extensions.ext_storage import storage
 from models.dataset import (
diff --git a/api/tasks/clean_document_task.py b/api/tasks/clean_document_task.py
index 7a536f7426..5a4d7a52b2 100644
--- a/api/tasks/clean_document_task.py
+++ b/api/tasks/clean_document_task.py
@@ -6,7 +6,7 @@ import click
 from celery import shared_task  # type: ignore
 
 from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
-from core.tools.utils.web_reader_tool import get_image_upload_file_ids
+from core.tools.utils.rag_web_reader import get_image_upload_file_ids
 from extensions.ext_database import db
 from extensions.ext_storage import storage
 from models.dataset import Dataset, DocumentSegment
diff --git a/api/tests/integration_tests/.env.example b/api/tests/integration_tests/.env.example
index 6fd144c5c2..3c2ccb9dad 100644
--- a/api/tests/integration_tests/.env.example
+++ b/api/tests/integration_tests/.env.example
@@ -84,6 +84,13 @@ VOLC_EMBEDDING_ENDPOINT_ID=
 # 360 AI Credentials
 ZHINAO_API_KEY=
 
+# Plugin configuration
+PLUGIN_DAEMON_KEY=
+PLUGIN_DAEMON_URL=
+INNER_API_KEY=
+
+# Marketplace configuration
+MARKETPLACE_API_URL=
 # VESSL AI Credentials
 VESSL_AI_MODEL_NAME=
 VESSL_AI_API_KEY=
diff --git a/api/tests/integration_tests/model_runtime/__init__.py b/api/tests/integration_tests/model_runtime/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/__mock/anthropic.py b/api/tests/integration_tests/model_runtime/__mock/anthropic.py
deleted file mode 100644
index 5092af4f13..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/anthropic.py
+++ /dev/null
@@ -1,98 +0,0 @@
-import os
-from collections.abc import Iterable
-from typing import Any, Literal, Union
-
-import anthropic
-import pytest
-from _pytest.monkeypatch import MonkeyPatch
-from anthropic import Stream
-from anthropic.resources import Messages
-from anthropic.types import (
-    ContentBlock,
-    ContentBlockDeltaEvent,
-    Message,
-    MessageDeltaEvent,
-    MessageDeltaUsage,
-    MessageParam,
-    MessageStartEvent,
-    MessageStopEvent,
-    MessageStreamEvent,
-    TextDelta,
-    Usage,
-)
-from anthropic.types.message_delta_event import Delta
-
-MOCK = os.getenv("MOCK_SWITCH", "false") == "true"
-
-
-class MockAnthropicClass:
-    @staticmethod
-    def mocked_anthropic_chat_create_sync(model: str) -> Message:
-        return Message(
-            id="msg-123",
-            type="message",
-            role="assistant",
-            content=[ContentBlock(text="hello, I'm a chatbot from anthropic", type="text")],
-            model=model,
-            stop_reason="stop_sequence",
-            usage=Usage(input_tokens=1, output_tokens=1),
-        )
-
-    @staticmethod
-    def mocked_anthropic_chat_create_stream(model: str) -> Stream[MessageStreamEvent]:
-        full_response_text = "hello, I'm a chatbot from anthropic"
-
-        yield MessageStartEvent(
-            type="message_start",
-            message=Message(
-                id="msg-123",
-                content=[],
-                role="assistant",
-                model=model,
-                stop_reason=None,
-                type="message",
-                usage=Usage(input_tokens=1, output_tokens=1),
-            ),
-        )
-
-        index = 0
-        for i in range(0, len(full_response_text)):
-            yield ContentBlockDeltaEvent(
-                type="content_block_delta", delta=TextDelta(text=full_response_text[i], type="text_delta"), index=index
-            )
-
-            index += 1
-
-        yield MessageDeltaEvent(
-            type="message_delta", delta=Delta(stop_reason="stop_sequence"), usage=MessageDeltaUsage(output_tokens=1)
-        )
-
-        yield MessageStopEvent(type="message_stop")
-
-    def mocked_anthropic(
-        self: Messages,
-        *,
-        max_tokens: int,
-        messages: Iterable[MessageParam],
-        model: str,
-        stream: Literal[True],
-        **kwargs: Any,
-    ) -> Union[Message, Stream[MessageStreamEvent]]:
-        if len(self._client.api_key) < 18:
-            raise anthropic.AuthenticationError("Invalid API key")
-
-        if stream:
-            return MockAnthropicClass.mocked_anthropic_chat_create_stream(model=model)
-        else:
-            return MockAnthropicClass.mocked_anthropic_chat_create_sync(model=model)
-
-
-@pytest.fixture
-def setup_anthropic_mock(request, monkeypatch: MonkeyPatch):
-    if MOCK:
-        monkeypatch.setattr(Messages, "create", MockAnthropicClass.mocked_anthropic)
-
-    yield
-
-    if MOCK:
-        monkeypatch.undo()
diff --git a/api/tests/integration_tests/model_runtime/__mock/fishaudio.py b/api/tests/integration_tests/model_runtime/__mock/fishaudio.py
deleted file mode 100644
index bec3babeaf..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/fishaudio.py
+++ /dev/null
@@ -1,82 +0,0 @@
-import os
-from collections.abc import Callable
-from typing import Literal
-
-import httpx
-import pytest
-from _pytest.monkeypatch import MonkeyPatch
-
-
-def mock_get(*args, **kwargs):
-    if kwargs.get("headers", {}).get("Authorization") != "Bearer test":
-        raise httpx.HTTPStatusError(
-            "Invalid API key",
-            request=httpx.Request("GET", ""),
-            response=httpx.Response(401),
-        )
-
-    return httpx.Response(
-        200,
-        json={
-            "items": [
-                {"title": "Model 1", "_id": "model1"},
-                {"title": "Model 2", "_id": "model2"},
-            ]
-        },
-        request=httpx.Request("GET", ""),
-    )
-
-
-def mock_stream(*args, **kwargs):
-    class MockStreamResponse:
-        def __init__(self):
-            self.status_code = 200
-
-        def __enter__(self):
-            return self
-
-        def __exit__(self, exc_type, exc_val, exc_tb):
-            pass
-
-        def iter_bytes(self):
-            yield b"Mocked audio data"
-
-    return MockStreamResponse()
-
-
-def mock_fishaudio(
-    monkeypatch: MonkeyPatch,
-    methods: list[Literal["list-models", "tts"]],
-) -> Callable[[], None]:
-    """
-    mock fishaudio module
-
-    :param monkeypatch: pytest monkeypatch fixture
-    :return: unpatch function
-    """
-
-    def unpatch() -> None:
-        monkeypatch.undo()
-
-    if "list-models" in methods:
-        monkeypatch.setattr(httpx, "get", mock_get)
-
-    if "tts" in methods:
-        monkeypatch.setattr(httpx, "stream", mock_stream)
-
-    return unpatch
-
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_fishaudio_mock(request, monkeypatch):
-    methods = request.param if hasattr(request, "param") else []
-    if MOCK:
-        unpatch = mock_fishaudio(monkeypatch, methods=methods)
-
-    yield
-
-    if MOCK:
-        unpatch()
diff --git a/api/tests/integration_tests/model_runtime/__mock/google.py b/api/tests/integration_tests/model_runtime/__mock/google.py
deleted file mode 100644
index 3a26b99e37..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/google.py
+++ /dev/null
@@ -1,115 +0,0 @@
-from unittest.mock import MagicMock
-
-import google.generativeai.types.generation_types as generation_config_types  # type: ignore
-import pytest
-from _pytest.monkeypatch import MonkeyPatch
-from google.ai import generativelanguage as glm
-from google.ai.generativelanguage_v1beta.types import content as gag_content
-from google.generativeai import GenerativeModel
-from google.generativeai.types import GenerateContentResponse, content_types, safety_types
-from google.generativeai.types.generation_types import BaseGenerateContentResponse
-
-from extensions import ext_redis
-
-
-class MockGoogleResponseClass:
-    _done = False
-
-    def __iter__(self):
-        full_response_text = "it's google!"
-
-        for i in range(0, len(full_response_text) + 1, 1):
-            if i == len(full_response_text):
-                self._done = True
-                yield GenerateContentResponse(
-                    done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[]
-                )
-            else:
-                yield GenerateContentResponse(
-                    done=False, iterator=None, result=glm.GenerateContentResponse({}), chunks=[]
-                )
-
-
-class MockGoogleResponseCandidateClass:
-    finish_reason = "stop"
-
-    @property
-    def content(self) -> gag_content.Content:
-        return gag_content.Content(parts=[gag_content.Part(text="it's google!")])
-
-
-class MockGoogleClass:
-    @staticmethod
-    def generate_content_sync() -> GenerateContentResponse:
-        return GenerateContentResponse(done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[])
-
-    @staticmethod
-    def generate_content_stream() -> MockGoogleResponseClass:
-        return MockGoogleResponseClass()
-
-    def generate_content(
-        self: GenerativeModel,
-        contents: content_types.ContentsType,
-        *,
-        generation_config: generation_config_types.GenerationConfigType | None = None,
-        safety_settings: safety_types.SafetySettingOptions | None = None,
-        stream: bool = False,
-        **kwargs,
-    ) -> GenerateContentResponse:
-        if stream:
-            return MockGoogleClass.generate_content_stream()
-
-        return MockGoogleClass.generate_content_sync()
-
-    @property
-    def generative_response_text(self) -> str:
-        return "it's google!"
-
-    @property
-    def generative_response_candidates(self) -> list[MockGoogleResponseCandidateClass]:
-        return [MockGoogleResponseCandidateClass()]
-
-
-def mock_configure(api_key: str):
-    if len(api_key) < 16:
-        raise Exception("Invalid API key")
-
-
-class MockFileState:
-    def __init__(self):
-        self.name = "FINISHED"
-
-
-class MockGoogleFile:
-    def __init__(self, name: str = "mock_file_name"):
-        self.name = name
-        self.state = MockFileState()
-
-
-def mock_get_file(name: str) -> MockGoogleFile:
-    return MockGoogleFile(name)
-
-
-def mock_upload_file(path: str, mime_type: str) -> MockGoogleFile:
-    return MockGoogleFile()
-
-
-@pytest.fixture
-def setup_google_mock(request, monkeypatch: MonkeyPatch):
-    monkeypatch.setattr(BaseGenerateContentResponse, "text", MockGoogleClass.generative_response_text)
-    monkeypatch.setattr(BaseGenerateContentResponse, "candidates", MockGoogleClass.generative_response_candidates)
-    monkeypatch.setattr(GenerativeModel, "generate_content", MockGoogleClass.generate_content)
-    monkeypatch.setattr("google.generativeai.configure", mock_configure)
-    monkeypatch.setattr("google.generativeai.get_file", mock_get_file)
-    monkeypatch.setattr("google.generativeai.upload_file", mock_upload_file)
-
-    yield
-
-    monkeypatch.undo()
-
-
-@pytest.fixture
-def setup_mock_redis() -> None:
-    ext_redis.redis_client.get = MagicMock(return_value=None)
-    ext_redis.redis_client.setex = MagicMock(return_value=None)
-    ext_redis.redis_client.exists = MagicMock(return_value=True)
diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface.py b/api/tests/integration_tests/model_runtime/__mock/huggingface.py
deleted file mode 100644
index 4de5251440..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/huggingface.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import os
-
-import pytest
-from _pytest.monkeypatch import MonkeyPatch
-from huggingface_hub import InferenceClient  # type: ignore
-
-from tests.integration_tests.model_runtime.__mock.huggingface_chat import MockHuggingfaceChatClass
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_huggingface_mock(request, monkeypatch: MonkeyPatch):
-    if MOCK:
-        monkeypatch.setattr(InferenceClient, "text_generation", MockHuggingfaceChatClass.text_generation)
-
-    yield
-
-    if MOCK:
-        monkeypatch.undo()
diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py
deleted file mode 100644
index 77c7e7f5e4..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import re
-from collections.abc import Generator
-from typing import Any, Literal, Optional, Union
-
-from _pytest.monkeypatch import MonkeyPatch
-from huggingface_hub import InferenceClient  # type: ignore
-from huggingface_hub.inference._text_generation import (  # type: ignore
-    Details,
-    StreamDetails,
-    TextGenerationResponse,
-    TextGenerationStreamResponse,
-    Token,
-)
-from huggingface_hub.utils import BadRequestError  # type: ignore
-
-
-class MockHuggingfaceChatClass:
-    @staticmethod
-    def generate_create_sync(model: str) -> TextGenerationResponse:
-        response = TextGenerationResponse(
-            generated_text="You can call me Miku Miku o~e~o~",
-            details=Details(
-                finish_reason="length",
-                generated_tokens=6,
-                tokens=[Token(id=0, text="You", logprob=0.0, special=False) for i in range(0, 6)],
-            ),
-        )
-
-        return response
-
-    @staticmethod
-    def generate_create_stream(model: str) -> Generator[TextGenerationStreamResponse, None, None]:
-        full_text = "You can call me Miku Miku o~e~o~"
-
-        for i in range(0, len(full_text)):
-            response = TextGenerationStreamResponse(
-                token=Token(id=i, text=full_text[i], logprob=0.0, special=False),
-            )
-            response.generated_text = full_text[i]
-            response.details = StreamDetails(finish_reason="stop_sequence", generated_tokens=1)
-
-            yield response
-
-    def text_generation(
-        self: InferenceClient, prompt: str, *, stream: Literal[False] = ..., model: Optional[str] = None, **kwargs: Any
-    ) -> Union[TextGenerationResponse, Generator[TextGenerationStreamResponse, None, None]]:
-        # check if key is valid
-        if not re.match(r"Bearer\shf\-[a-zA-Z0-9]{16,}", self.headers["authorization"]):
-            raise BadRequestError("Invalid API key")
-
-        if model is None:
-            raise BadRequestError("Invalid model")
-
-        if stream:
-            return MockHuggingfaceChatClass.generate_create_stream(model)
-        return MockHuggingfaceChatClass.generate_create_sync(model)
diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py
deleted file mode 100644
index b9a721c803..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py
+++ /dev/null
@@ -1,94 +0,0 @@
-from core.model_runtime.model_providers.huggingface_tei.tei_helper import TeiModelExtraParameter
-
-
-class MockTEIClass:
-    @staticmethod
-    def get_tei_extra_parameter(server_url: str, model_name: str) -> TeiModelExtraParameter:
-        # During mock, we don't have a real server to query, so we just return a dummy value
-        if "rerank" in model_name:
-            model_type = "reranker"
-        else:
-            model_type = "embedding"
-
-        return TeiModelExtraParameter(model_type=model_type, max_input_length=512, max_client_batch_size=1)
-
-    @staticmethod
-    def invoke_tokenize(server_url: str, texts: list[str]) -> list[list[dict]]:
-        # Use space as token separator, and split the text into tokens
-        tokenized_texts = []
-        for text in texts:
-            tokens = text.split(" ")
-            current_index = 0
-            tokenized_text = []
-            for idx, token in enumerate(tokens):
-                s_token = {
-                    "id": idx,
-                    "text": token,
-                    "special": False,
-                    "start": current_index,
-                    "stop": current_index + len(token),
-                }
-                current_index += len(token) + 1
-                tokenized_text.append(s_token)
-            tokenized_texts.append(tokenized_text)
-        return tokenized_texts
-
-    @staticmethod
-    def invoke_embeddings(server_url: str, texts: list[str]) -> dict:
-        # {
-        #     "object": "list",
-        #     "data": [
-        #         {
-        #             "object": "embedding",
-        #             "embedding": [...],
-        #             "index": 0
-        #         }
-        #     ],
-        #     "model": "MODEL_NAME",
-        #     "usage": {
-        #         "prompt_tokens": 3,
-        #         "total_tokens": 3
-        #     }
-        # }
-        embeddings = []
-        for idx in range(len(texts)):
-            embedding = [0.1] * 768
-            embeddings.append(
-                {
-                    "object": "embedding",
-                    "embedding": embedding,
-                    "index": idx,
-                }
-            )
-        return {
-            "object": "list",
-            "data": embeddings,
-            "model": "MODEL_NAME",
-            "usage": {
-                "prompt_tokens": sum(len(text.split(" ")) for text in texts),
-                "total_tokens": sum(len(text.split(" ")) for text in texts),
-            },
-        }
-
-    @staticmethod
-    def invoke_rerank(server_url: str, query: str, texts: list[str]) -> list[dict]:
-        #         Example response:
-        # [
-        #     {
-        #         "index": 0,
-        #         "text": "Deep Learning is ...",
-        #         "score": 0.9950755
-        #     }
-        # ]
-        reranked_docs = []
-        for idx, text in enumerate(texts):
-            reranked_docs.append(
-                {
-                    "index": idx,
-                    "text": text,
-                    "score": 0.9,
-                }
-            )
-            # For mock, only return the first document
-            break
-        return reranked_docs
diff --git a/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py b/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py
deleted file mode 100644
index 4e00660a29..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import os
-from collections.abc import Callable
-from typing import Any, Literal
-
-import pytest
-
-# import monkeypatch
-from _pytest.monkeypatch import MonkeyPatch
-from nomic import embed  # type: ignore
-
-
-def create_embedding(texts: list[str], model: str, **kwargs: Any) -> dict:
-    texts_len = len(texts)
-
-    foo_embedding_sample = 0.123456
-
-    combined = {
-        "embeddings": [[foo_embedding_sample for _ in range(768)] for _ in range(texts_len)],
-        "usage": {"prompt_tokens": texts_len, "total_tokens": texts_len},
-        "model": model,
-        "inference_mode": "remote",
-    }
-
-    return combined
-
-
-def mock_nomic(
-    monkeypatch: MonkeyPatch,
-    methods: list[Literal["text_embedding"]],
-) -> Callable[[], None]:
-    """
-    mock nomic module
-
-    :param monkeypatch: pytest monkeypatch fixture
-    :return: unpatch function
-    """
-
-    def unpatch() -> None:
-        monkeypatch.undo()
-
-    if "text_embedding" in methods:
-        monkeypatch.setattr(embed, "text", create_embedding)
-
-    return unpatch
-
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_nomic_mock(request, monkeypatch):
-    methods = request.param if hasattr(request, "param") else []
-    if MOCK:
-        unpatch = mock_nomic(monkeypatch, methods=methods)
-
-    yield
-
-    if MOCK:
-        unpatch()
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai.py b/api/tests/integration_tests/model_runtime/__mock/openai.py
deleted file mode 100644
index 6637f4f212..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import os
-from collections.abc import Callable
-from typing import Literal
-
-import pytest
-
-# import monkeypatch
-from _pytest.monkeypatch import MonkeyPatch
-from openai.resources.audio.transcriptions import Transcriptions
-from openai.resources.chat import Completions as ChatCompletions
-from openai.resources.completions import Completions
-from openai.resources.embeddings import Embeddings
-from openai.resources.models import Models
-from openai.resources.moderations import Moderations
-
-from tests.integration_tests.model_runtime.__mock.openai_chat import MockChatClass
-from tests.integration_tests.model_runtime.__mock.openai_completion import MockCompletionsClass
-from tests.integration_tests.model_runtime.__mock.openai_embeddings import MockEmbeddingsClass
-from tests.integration_tests.model_runtime.__mock.openai_moderation import MockModerationClass
-from tests.integration_tests.model_runtime.__mock.openai_remote import MockModelClass
-from tests.integration_tests.model_runtime.__mock.openai_speech2text import MockSpeech2TextClass
-
-
-def mock_openai(
-    monkeypatch: MonkeyPatch,
-    methods: list[Literal["completion", "chat", "remote", "moderation", "speech2text", "text_embedding"]],
-) -> Callable[[], None]:
-    """
-    mock openai module
-
-    :param monkeypatch: pytest monkeypatch fixture
-    :return: unpatch function
-    """
-
-    def unpatch() -> None:
-        monkeypatch.undo()
-
-    if "completion" in methods:
-        monkeypatch.setattr(Completions, "create", MockCompletionsClass.completion_create)
-
-    if "chat" in methods:
-        monkeypatch.setattr(ChatCompletions, "create", MockChatClass.chat_create)
-
-    if "remote" in methods:
-        monkeypatch.setattr(Models, "list", MockModelClass.list)
-
-    if "moderation" in methods:
-        monkeypatch.setattr(Moderations, "create", MockModerationClass.moderation_create)
-
-    if "speech2text" in methods:
-        monkeypatch.setattr(Transcriptions, "create", MockSpeech2TextClass.speech2text_create)
-
-    if "text_embedding" in methods:
-        monkeypatch.setattr(Embeddings, "create", MockEmbeddingsClass.create_embeddings)
-
-    return unpatch
-
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_openai_mock(request, monkeypatch):
-    methods = request.param if hasattr(request, "param") else []
-    if MOCK:
-        unpatch = mock_openai(monkeypatch, methods=methods)
-
-    yield
-
-    if MOCK:
-        unpatch()
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py
deleted file mode 100644
index 1dc5df7667..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py
+++ /dev/null
@@ -1,267 +0,0 @@
-import re
-from collections.abc import Generator
-from json import dumps
-from time import time
-
-# import monkeypatch
-from typing import Any, Literal, Optional, Union
-
-from openai import AzureOpenAI, OpenAI
-from openai._types import NOT_GIVEN, NotGiven
-from openai.resources.chat.completions import Completions
-from openai.types import Completion as CompletionMessage
-from openai.types.chat import (
-    ChatCompletionChunk,
-    ChatCompletionMessageParam,
-    ChatCompletionMessageToolCall,
-    ChatCompletionToolParam,
-    completion_create_params,
-)
-from openai.types.chat.chat_completion import ChatCompletion as _ChatCompletion
-from openai.types.chat.chat_completion import Choice as _ChatCompletionChoice
-from openai.types.chat.chat_completion_chunk import (
-    Choice,
-    ChoiceDelta,
-    ChoiceDeltaFunctionCall,
-    ChoiceDeltaToolCall,
-    ChoiceDeltaToolCallFunction,
-)
-from openai.types.chat.chat_completion_message import ChatCompletionMessage, FunctionCall
-from openai.types.chat.chat_completion_message_tool_call import Function
-from openai.types.completion_usage import CompletionUsage
-
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-
-
-class MockChatClass:
-    @staticmethod
-    def generate_function_call(
-        functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN,
-    ) -> Optional[FunctionCall]:
-        if not functions or len(functions) == 0:
-            return None
-        function: completion_create_params.Function = functions[0]
-        function_name = function["name"]
-        function_description = function["description"]
-        function_parameters = function["parameters"]
-        function_parameters_type = function_parameters["type"]
-        if function_parameters_type != "object":
-            return None
-        function_parameters_properties = function_parameters["properties"]
-        function_parameters_required = function_parameters["required"]
-        parameters = {}
-        for parameter_name, parameter in function_parameters_properties.items():
-            if parameter_name not in function_parameters_required:
-                continue
-            parameter_type = parameter["type"]
-            if parameter_type == "string":
-                if "enum" in parameter:
-                    if len(parameter["enum"]) == 0:
-                        continue
-                    parameters[parameter_name] = parameter["enum"][0]
-                else:
-                    parameters[parameter_name] = "kawaii"
-            elif parameter_type == "integer":
-                parameters[parameter_name] = 114514
-            elif parameter_type == "number":
-                parameters[parameter_name] = 1919810.0
-            elif parameter_type == "boolean":
-                parameters[parameter_name] = True
-
-        return FunctionCall(name=function_name, arguments=dumps(parameters))
-
-    @staticmethod
-    def generate_tool_calls(tools=NOT_GIVEN) -> Optional[list[ChatCompletionMessageToolCall]]:
-        list_tool_calls = []
-        if not tools or len(tools) == 0:
-            return None
-        tool = tools[0]
-
-        if "type" in tools and tools["type"] != "function":
-            return None
-
-        function = tool["function"]
-
-        function_call = MockChatClass.generate_function_call(functions=[function])
-        if function_call is None:
-            return None
-
-        list_tool_calls.append(
-            ChatCompletionMessageToolCall(
-                id="sakurajima-mai",
-                function=Function(
-                    name=function_call.name,
-                    arguments=function_call.arguments,
-                ),
-                type="function",
-            )
-        )
-
-        return list_tool_calls
-
-    @staticmethod
-    def mocked_openai_chat_create_sync(
-        model: str,
-        functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN,
-        tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-    ) -> CompletionMessage:
-        tool_calls = []
-        function_call = MockChatClass.generate_function_call(functions=functions)
-        if not function_call:
-            tool_calls = MockChatClass.generate_tool_calls(tools=tools)
-
-        return _ChatCompletion(
-            id="cmpl-3QJQa5jXJ5Z5X",
-            choices=[
-                _ChatCompletionChoice(
-                    finish_reason="content_filter",
-                    index=0,
-                    message=ChatCompletionMessage(
-                        content="elaina", role="assistant", function_call=function_call, tool_calls=tool_calls
-                    ),
-                )
-            ],
-            created=int(time()),
-            model=model,
-            object="chat.completion",
-            system_fingerprint="",
-            usage=CompletionUsage(
-                prompt_tokens=2,
-                completion_tokens=1,
-                total_tokens=3,
-            ),
-        )
-
-    @staticmethod
-    def mocked_openai_chat_create_stream(
-        model: str,
-        functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN,
-        tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-    ) -> Generator[ChatCompletionChunk, None, None]:
-        tool_calls = []
-        function_call = MockChatClass.generate_function_call(functions=functions)
-        if not function_call:
-            tool_calls = MockChatClass.generate_tool_calls(tools=tools)
-
-        full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```"
-        for i in range(0, len(full_text) + 1):
-            if i == len(full_text):
-                yield ChatCompletionChunk(
-                    id="cmpl-3QJQa5jXJ5Z5X",
-                    choices=[
-                        Choice(
-                            delta=ChoiceDelta(
-                                content="",
-                                function_call=ChoiceDeltaFunctionCall(
-                                    name=function_call.name,
-                                    arguments=function_call.arguments,
-                                )
-                                if function_call
-                                else None,
-                                role="assistant",
-                                tool_calls=[
-                                    ChoiceDeltaToolCall(
-                                        index=0,
-                                        id="misaka-mikoto",
-                                        function=ChoiceDeltaToolCallFunction(
-                                            name=tool_calls[0].function.name,
-                                            arguments=tool_calls[0].function.arguments,
-                                        ),
-                                        type="function",
-                                    )
-                                ]
-                                if tool_calls and len(tool_calls) > 0
-                                else None,
-                            ),
-                            finish_reason="function_call",
-                            index=0,
-                        )
-                    ],
-                    created=int(time()),
-                    model=model,
-                    object="chat.completion.chunk",
-                    system_fingerprint="",
-                    usage=CompletionUsage(
-                        prompt_tokens=2,
-                        completion_tokens=17,
-                        total_tokens=19,
-                    ),
-                )
-            else:
-                yield ChatCompletionChunk(
-                    id="cmpl-3QJQa5jXJ5Z5X",
-                    choices=[
-                        Choice(
-                            delta=ChoiceDelta(
-                                content=full_text[i],
-                                role="assistant",
-                            ),
-                            finish_reason="content_filter",
-                            index=0,
-                        )
-                    ],
-                    created=int(time()),
-                    model=model,
-                    object="chat.completion.chunk",
-                    system_fingerprint="",
-                )
-
-    def chat_create(
-        self: Completions,
-        *,
-        messages: list[ChatCompletionMessageParam],
-        model: Union[
-            str,
-            Literal[
-                "gpt-4-1106-preview",
-                "gpt-4-vision-preview",
-                "gpt-4",
-                "gpt-4-0314",
-                "gpt-4-0613",
-                "gpt-4-32k",
-                "gpt-4-32k-0314",
-                "gpt-4-32k-0613",
-                "gpt-3.5-turbo-1106",
-                "gpt-3.5-turbo",
-                "gpt-3.5-turbo-16k",
-                "gpt-3.5-turbo-0301",
-                "gpt-3.5-turbo-0613",
-                "gpt-3.5-turbo-16k-0613",
-            ],
-        ],
-        functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN,
-        response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
-        stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN,
-        tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-        **kwargs: Any,
-    ):
-        openai_models = [
-            "gpt-4-1106-preview",
-            "gpt-4-vision-preview",
-            "gpt-4",
-            "gpt-4-0314",
-            "gpt-4-0613",
-            "gpt-4-32k",
-            "gpt-4-32k-0314",
-            "gpt-4-32k-0613",
-            "gpt-3.5-turbo-1106",
-            "gpt-3.5-turbo",
-            "gpt-3.5-turbo-16k",
-            "gpt-3.5-turbo-0301",
-            "gpt-3.5-turbo-0613",
-            "gpt-3.5-turbo-16k-0613",
-        ]
-        azure_openai_models = ["gpt35", "gpt-4v", "gpt-35-turbo"]
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)):
-            raise InvokeAuthorizationError("Invalid base url")
-        if model in openai_models + azure_openai_models:
-            if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI:
-                # sometime, provider use OpenAI compatible API will not have api key or have different api key format
-                # so we only check if model is in openai_models
-                raise InvokeAuthorizationError("Invalid api key")
-            if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI:
-                raise InvokeAuthorizationError("Invalid api key")
-        if stream:
-            return MockChatClass.mocked_openai_chat_create_stream(model=model, functions=functions, tools=tools)
-
-        return MockChatClass.mocked_openai_chat_create_sync(model=model, functions=functions, tools=tools)
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py
deleted file mode 100644
index 14223668e0..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py
+++ /dev/null
@@ -1,130 +0,0 @@
-import re
-from collections.abc import Generator
-from time import time
-
-# import monkeypatch
-from typing import Any, Literal, Optional, Union
-
-from openai import AzureOpenAI, BadRequestError, OpenAI
-from openai._types import NOT_GIVEN, NotGiven
-from openai.resources.completions import Completions
-from openai.types import Completion as CompletionMessage
-from openai.types.completion import CompletionChoice
-from openai.types.completion_usage import CompletionUsage
-
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-
-
-class MockCompletionsClass:
-    @staticmethod
-    def mocked_openai_completion_create_sync(model: str) -> CompletionMessage:
-        return CompletionMessage(
-            id="cmpl-3QJQa5jXJ5Z5X",
-            object="text_completion",
-            created=int(time()),
-            model=model,
-            system_fingerprint="",
-            choices=[
-                CompletionChoice(
-                    text="mock",
-                    index=0,
-                    logprobs=None,
-                    finish_reason="stop",
-                )
-            ],
-            usage=CompletionUsage(
-                prompt_tokens=2,
-                completion_tokens=1,
-                total_tokens=3,
-            ),
-        )
-
-    @staticmethod
-    def mocked_openai_completion_create_stream(model: str) -> Generator[CompletionMessage, None, None]:
-        full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```"
-        for i in range(0, len(full_text) + 1):
-            if i == len(full_text):
-                yield CompletionMessage(
-                    id="cmpl-3QJQa5jXJ5Z5X",
-                    object="text_completion",
-                    created=int(time()),
-                    model=model,
-                    system_fingerprint="",
-                    choices=[
-                        CompletionChoice(
-                            text="",
-                            index=0,
-                            logprobs=None,
-                            finish_reason="stop",
-                        )
-                    ],
-                    usage=CompletionUsage(
-                        prompt_tokens=2,
-                        completion_tokens=17,
-                        total_tokens=19,
-                    ),
-                )
-            else:
-                yield CompletionMessage(
-                    id="cmpl-3QJQa5jXJ5Z5X",
-                    object="text_completion",
-                    created=int(time()),
-                    model=model,
-                    system_fingerprint="",
-                    choices=[
-                        CompletionChoice(text=full_text[i], index=0, logprobs=None, finish_reason="content_filter")
-                    ],
-                )
-
-    def completion_create(
-        self: Completions,
-        *,
-        model: Union[
-            str,
-            Literal[
-                "babbage-002",
-                "davinci-002",
-                "gpt-3.5-turbo-instruct",
-                "text-davinci-003",
-                "text-davinci-002",
-                "text-davinci-001",
-                "code-davinci-002",
-                "text-curie-001",
-                "text-babbage-001",
-                "text-ada-001",
-            ],
-        ],
-        prompt: Union[str, list[str], list[int], list[list[int]], None],
-        stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN,
-        **kwargs: Any,
-    ):
-        openai_models = [
-            "babbage-002",
-            "davinci-002",
-            "gpt-3.5-turbo-instruct",
-            "text-davinci-003",
-            "text-davinci-002",
-            "text-davinci-001",
-            "code-davinci-002",
-            "text-curie-001",
-            "text-babbage-001",
-            "text-ada-001",
-        ]
-        azure_openai_models = ["gpt-35-turbo-instruct"]
-
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)):
-            raise InvokeAuthorizationError("Invalid base url")
-        if model in openai_models + azure_openai_models:
-            if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI:
-                # sometime, provider use OpenAI compatible API will not have api key or have different api key format
-                # so we only check if model is in openai_models
-                raise InvokeAuthorizationError("Invalid api key")
-            if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI:
-                raise InvokeAuthorizationError("Invalid api key")
-
-        if not prompt:
-            raise BadRequestError("Invalid prompt")
-        if stream:
-            return MockCompletionsClass.mocked_openai_completion_create_stream(model=model)
-
-        return MockCompletionsClass.mocked_openai_completion_create_sync(model=model)
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py b/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py
deleted file mode 100644
index 3cc1fa9ff1..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import re
-from typing import Any, Literal, Union
-
-from openai._types import NOT_GIVEN, NotGiven
-from openai.resources.embeddings import Embeddings
-from openai.types.create_embedding_response import CreateEmbeddingResponse, Usage
-from openai.types.embedding import Embedding
-
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-
-
-class MockEmbeddingsClass:
-    def create_embeddings(
-        self: Embeddings,
-        *,
-        input: Union[str, list[str], list[int], list[list[int]]],
-        model: Union[str, Literal["text-embedding-ada-002"]],
-        encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
-        **kwargs: Any,
-    ) -> CreateEmbeddingResponse:
-        if isinstance(input, str):
-            input = [input]
-
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)):
-            raise InvokeAuthorizationError("Invalid base url")
-
-        if len(self._client.api_key) < 18:
-            raise InvokeAuthorizationError("Invalid API key")
-
-        if encoding_format == "float":
-            return CreateEmbeddingResponse(
-                data=[
-                    Embedding(embedding=[0.23333 for _ in range(233)], index=i, object="embedding")
-                    for i in range(len(input))
-                ],
-                model=model,
-                object="list",
-                # marked: usage of embeddings should equal the number of testcase
-                usage=Usage(prompt_tokens=2, total_tokens=2),
-            )
-
-        embeddings = "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"  # noqa: E501
-
-        data = []
-        for i, text in enumerate(input):
-            obj = Embedding(embedding=[], index=i, object="embedding")
-            obj.embedding = embeddings
-
-            data.append(obj)
-
-        return CreateEmbeddingResponse(
-            data=data,
-            model=model,
-            object="list",
-            # marked: usage of embeddings should equal the number of testcase
-            usage=Usage(prompt_tokens=2, total_tokens=2),
-        )
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py
deleted file mode 100644
index e26855344e..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py
+++ /dev/null
@@ -1,140 +0,0 @@
-import re
-from typing import Any, Literal, Union
-
-from openai._types import NOT_GIVEN, NotGiven
-from openai.resources.moderations import Moderations
-from openai.types import ModerationCreateResponse
-from openai.types.moderation import Categories, CategoryScores, Moderation
-
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-
-
-class MockModerationClass:
-    def moderation_create(
-        self: Moderations,
-        *,
-        input: Union[str, list[str]],
-        model: Union[str, Literal["text-moderation-latest", "text-moderation-stable"]] | NotGiven = NOT_GIVEN,
-        **kwargs: Any,
-    ) -> ModerationCreateResponse:
-        if isinstance(input, str):
-            input = [input]
-
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)):
-            raise InvokeAuthorizationError("Invalid base url")
-
-        if len(self._client.api_key) < 18:
-            raise InvokeAuthorizationError("Invalid API key")
-
-        for text in input:
-            result = []
-            if "kill" in text:
-                moderation_categories = {
-                    "harassment": False,
-                    "harassment/threatening": False,
-                    "hate": False,
-                    "hate/threatening": False,
-                    "self-harm": False,
-                    "self-harm/instructions": False,
-                    "self-harm/intent": False,
-                    "sexual": False,
-                    "sexual/minors": False,
-                    "violence": False,
-                    "violence/graphic": False,
-                    "illicit": False,
-                    "illicit/violent": False,
-                }
-                moderation_categories_scores = {
-                    "harassment": 1.0,
-                    "harassment/threatening": 1.0,
-                    "hate": 1.0,
-                    "hate/threatening": 1.0,
-                    "self-harm": 1.0,
-                    "self-harm/instructions": 1.0,
-                    "self-harm/intent": 1.0,
-                    "sexual": 1.0,
-                    "sexual/minors": 1.0,
-                    "violence": 1.0,
-                    "violence/graphic": 1.0,
-                    "illicit": 1.0,
-                    "illicit/violent": 1.0,
-                }
-                category_applied_input_types = {
-                    "sexual": ["text", "image"],
-                    "hate": ["text"],
-                    "harassment": ["text"],
-                    "self-harm": ["text", "image"],
-                    "sexual/minors": ["text"],
-                    "hate/threatening": ["text"],
-                    "violence/graphic": ["text", "image"],
-                    "self-harm/intent": ["text", "image"],
-                    "self-harm/instructions": ["text", "image"],
-                    "harassment/threatening": ["text"],
-                    "violence": ["text", "image"],
-                    "illicit": ["text"],
-                    "illicit/violent": ["text"],
-                }
-                result.append(
-                    Moderation(
-                        flagged=True,
-                        categories=Categories(**moderation_categories),
-                        category_scores=CategoryScores(**moderation_categories_scores),
-                        category_applied_input_types=category_applied_input_types,
-                    )
-                )
-            else:
-                moderation_categories = {
-                    "harassment": False,
-                    "harassment/threatening": False,
-                    "hate": False,
-                    "hate/threatening": False,
-                    "self-harm": False,
-                    "self-harm/instructions": False,
-                    "self-harm/intent": False,
-                    "sexual": False,
-                    "sexual/minors": False,
-                    "violence": False,
-                    "violence/graphic": False,
-                    "illicit": False,
-                    "illicit/violent": False,
-                }
-                moderation_categories_scores = {
-                    "harassment": 0.0,
-                    "harassment/threatening": 0.0,
-                    "hate": 0.0,
-                    "hate/threatening": 0.0,
-                    "self-harm": 0.0,
-                    "self-harm/instructions": 0.0,
-                    "self-harm/intent": 0.0,
-                    "sexual": 0.0,
-                    "sexual/minors": 0.0,
-                    "violence": 0.0,
-                    "violence/graphic": 0.0,
-                    "illicit": 0.0,
-                    "illicit/violent": 0.0,
-                }
-                category_applied_input_types = {
-                    "sexual": ["text", "image"],
-                    "hate": ["text"],
-                    "harassment": ["text"],
-                    "self-harm": ["text", "image"],
-                    "sexual/minors": ["text"],
-                    "hate/threatening": ["text"],
-                    "violence/graphic": ["text", "image"],
-                    "self-harm/intent": ["text", "image"],
-                    "self-harm/instructions": ["text", "image"],
-                    "harassment/threatening": ["text"],
-                    "violence": ["text", "image"],
-                    "illicit": ["text"],
-                    "illicit/violent": ["text"],
-                }
-                result.append(
-                    Moderation(
-                        flagged=False,
-                        categories=Categories(**moderation_categories),
-                        category_scores=CategoryScores(**moderation_categories_scores),
-                        category_applied_input_types=category_applied_input_types,
-                    )
-                )
-
-        return ModerationCreateResponse(id="shiroii kuloko", model=model, results=result)
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py b/api/tests/integration_tests/model_runtime/__mock/openai_remote.py
deleted file mode 100644
index 704dbad5d2..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from time import time
-
-from openai.types.model import Model
-
-
-class MockModelClass:
-    """
-    mock class for openai.models.Models
-    """
-
-    def list(
-        self,
-        **kwargs,
-    ) -> list[Model]:
-        return [
-            Model(
-                id="ft:gpt-3.5-turbo-0613:personal::8GYJLPDQ",
-                created=int(time()),
-                object="model",
-                owned_by="organization:org-123",
-            )
-        ]
diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py b/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py
deleted file mode 100644
index a51dcab4be..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import re
-from typing import Any, Literal, Union
-
-from openai._types import NOT_GIVEN, FileTypes, NotGiven
-from openai.resources.audio.transcriptions import Transcriptions
-from openai.types.audio.transcription import Transcription
-
-from core.model_runtime.errors.invoke import InvokeAuthorizationError
-
-
-class MockSpeech2TextClass:
-    def speech2text_create(
-        self: Transcriptions,
-        *,
-        file: FileTypes,
-        model: Union[str, Literal["whisper-1"]],
-        language: str | NotGiven = NOT_GIVEN,
-        prompt: str | NotGiven = NOT_GIVEN,
-        response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN,
-        temperature: float | NotGiven = NOT_GIVEN,
-        **kwargs: Any,
-    ) -> Transcription:
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)):
-            raise InvokeAuthorizationError("Invalid base url")
-
-        if len(self._client.api_key) < 18:
-            raise InvokeAuthorizationError("Invalid API key")
-
-        return Transcription(text="1, 2, 3, 4, 5, 6, 7, 8, 9, 10")
diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py
new file mode 100644
index 0000000000..6dfc01ab4c
--- /dev/null
+++ b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py
@@ -0,0 +1,44 @@
+import os
+from collections.abc import Callable
+
+import pytest
+
+# import monkeypatch
+from _pytest.monkeypatch import MonkeyPatch
+
+from core.plugin.manager.model import PluginModelManager
+from tests.integration_tests.model_runtime.__mock.plugin_model import MockModelClass
+
+
+def mock_plugin_daemon(
+    monkeypatch: MonkeyPatch,
+) -> Callable[[], None]:
+    """
+    mock openai module
+
+    :param monkeypatch: pytest monkeypatch fixture
+    :return: unpatch function
+    """
+
+    def unpatch() -> None:
+        monkeypatch.undo()
+
+    monkeypatch.setattr(PluginModelManager, "invoke_llm", MockModelClass.invoke_llm)
+    monkeypatch.setattr(PluginModelManager, "fetch_model_providers", MockModelClass.fetch_model_providers)
+    monkeypatch.setattr(PluginModelManager, "get_model_schema", MockModelClass.get_model_schema)
+
+    return unpatch
+
+
+MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
+
+
+@pytest.fixture
+def setup_model_mock(monkeypatch):
+    if MOCK:
+        unpatch = mock_plugin_daemon(monkeypatch)
+
+    yield
+
+    if MOCK:
+        unpatch()
diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_model.py b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py
new file mode 100644
index 0000000000..50913662e2
--- /dev/null
+++ b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py
@@ -0,0 +1,249 @@
+import datetime
+import uuid
+from collections.abc import Generator, Sequence
+from decimal import Decimal
+from json import dumps
+
+# import monkeypatch
+from typing import Optional
+
+from core.model_runtime.entities.common_entities import I18nObject
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage, PromptMessageTool
+from core.model_runtime.entities.model_entities import (
+    AIModelEntity,
+    FetchFrom,
+    ModelFeature,
+    ModelPropertyKey,
+    ModelType,
+)
+from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity
+from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+from core.plugin.manager.model import PluginModelManager
+
+
+class MockModelClass(PluginModelManager):
+    def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]:
+        """
+        Fetch model providers for the given tenant.
+        """
+        return [
+            PluginModelProviderEntity(
+                id=uuid.uuid4().hex,
+                created_at=datetime.datetime.now(),
+                updated_at=datetime.datetime.now(),
+                provider="openai",
+                tenant_id=tenant_id,
+                plugin_unique_identifier="langgenius/openai/openai",
+                plugin_id="langgenius/openai",
+                declaration=ProviderEntity(
+                    provider="openai",
+                    label=I18nObject(
+                        en_US="OpenAI",
+                        zh_Hans="OpenAI",
+                    ),
+                    description=I18nObject(
+                        en_US="OpenAI",
+                        zh_Hans="OpenAI",
+                    ),
+                    icon_small=I18nObject(
+                        en_US="https://example.com/icon_small.png",
+                        zh_Hans="https://example.com/icon_small.png",
+                    ),
+                    icon_large=I18nObject(
+                        en_US="https://example.com/icon_large.png",
+                        zh_Hans="https://example.com/icon_large.png",
+                    ),
+                    supported_model_types=[ModelType.LLM],
+                    configurate_methods=[ConfigurateMethod.PREDEFINED_MODEL],
+                    models=[
+                        AIModelEntity(
+                            model="gpt-3.5-turbo",
+                            label=I18nObject(
+                                en_US="gpt-3.5-turbo",
+                                zh_Hans="gpt-3.5-turbo",
+                            ),
+                            model_type=ModelType.LLM,
+                            fetch_from=FetchFrom.PREDEFINED_MODEL,
+                            model_properties={},
+                            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL],
+                        ),
+                        AIModelEntity(
+                            model="gpt-3.5-turbo-instruct",
+                            label=I18nObject(
+                                en_US="gpt-3.5-turbo-instruct",
+                                zh_Hans="gpt-3.5-turbo-instruct",
+                            ),
+                            model_type=ModelType.LLM,
+                            fetch_from=FetchFrom.PREDEFINED_MODEL,
+                            model_properties={
+                                ModelPropertyKey.MODE: LLMMode.COMPLETION,
+                            },
+                            features=[],
+                        ),
+                    ],
+                ),
+            )
+        ]
+
+    def get_model_schema(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model_type: str,
+        model: str,
+        credentials: dict,
+    ) -> AIModelEntity | None:
+        """
+        Get model schema
+        """
+        return AIModelEntity(
+            model=model,
+            label=I18nObject(
+                en_US="OpenAI",
+                zh_Hans="OpenAI",
+            ),
+            model_type=ModelType(model_type),
+            fetch_from=FetchFrom.PREDEFINED_MODEL,
+            model_properties={},
+            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL] if model == "gpt-3.5-turbo" else [],
+        )
+
+    @staticmethod
+    def generate_function_call(
+        tools: Optional[list[PromptMessageTool]],
+    ) -> Optional[AssistantPromptMessage.ToolCall]:
+        if not tools or len(tools) == 0:
+            return None
+        function: PromptMessageTool = tools[0]
+        function_name = function.name
+        function_parameters = function.parameters
+        function_parameters_type = function_parameters["type"]
+        if function_parameters_type != "object":
+            return None
+        function_parameters_properties = function_parameters["properties"]
+        function_parameters_required = function_parameters["required"]
+        parameters = {}
+        for parameter_name, parameter in function_parameters_properties.items():
+            if parameter_name not in function_parameters_required:
+                continue
+            parameter_type = parameter["type"]
+            if parameter_type == "string":
+                if "enum" in parameter:
+                    if len(parameter["enum"]) == 0:
+                        continue
+                    parameters[parameter_name] = parameter["enum"][0]
+                else:
+                    parameters[parameter_name] = "kawaii"
+            elif parameter_type == "integer":
+                parameters[parameter_name] = 114514
+            elif parameter_type == "number":
+                parameters[parameter_name] = 1919810.0
+            elif parameter_type == "boolean":
+                parameters[parameter_name] = True
+
+        return AssistantPromptMessage.ToolCall(
+            id=str(uuid.uuid4()),
+            type="function",
+            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
+                name=function_name,
+                arguments=dumps(parameters),
+            ),
+        )
+
+    @staticmethod
+    def mocked_chat_create_sync(
+        model: str,
+        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]] = None,
+    ) -> LLMResult:
+        tool_call = MockModelClass.generate_function_call(tools=tools)
+
+        return LLMResult(
+            id=str(uuid.uuid4()),
+            model=model,
+            prompt_messages=prompt_messages,
+            message=AssistantPromptMessage(content="elaina", tool_calls=[tool_call] if tool_call else []),
+            usage=LLMUsage(
+                prompt_tokens=2,
+                completion_tokens=1,
+                total_tokens=3,
+                prompt_unit_price=Decimal(0.0001),
+                completion_unit_price=Decimal(0.0002),
+                prompt_price_unit=Decimal(1),
+                prompt_price=Decimal(0.0001),
+                completion_price_unit=Decimal(1),
+                completion_price=Decimal(0.0002),
+                total_price=Decimal(0.0003),
+                currency="USD",
+                latency=0.001,
+            ),
+        )
+
+    @staticmethod
+    def mocked_chat_create_stream(
+        model: str,
+        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]] = None,
+    ) -> Generator[LLMResultChunk, None, None]:
+        tool_call = MockModelClass.generate_function_call(tools=tools)
+
+        full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```"
+        for i in range(0, len(full_text) + 1):
+            if i == len(full_text):
+                yield LLMResultChunk(
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=0,
+                        message=AssistantPromptMessage(
+                            content="",
+                            tool_calls=[tool_call] if tool_call else [],
+                        ),
+                    ),
+                )
+            else:
+                yield LLMResultChunk(
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=0,
+                        message=AssistantPromptMessage(
+                            content=full_text[i],
+                            tool_calls=[tool_call] if tool_call else [],
+                        ),
+                        usage=LLMUsage(
+                            prompt_tokens=2,
+                            completion_tokens=17,
+                            total_tokens=19,
+                            prompt_unit_price=Decimal(0.0001),
+                            completion_unit_price=Decimal(0.0002),
+                            prompt_price_unit=Decimal(1),
+                            prompt_price=Decimal(0.0001),
+                            completion_price_unit=Decimal(1),
+                            completion_price=Decimal(0.0002),
+                            total_price=Decimal(0.0003),
+                            currency="USD",
+                            latency=0.001,
+                        ),
+                    ),
+                )
+
+    def invoke_llm(
+        self: PluginModelManager,
+        *,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Optional[list[PromptMessageTool]] = None,
+        stop: Optional[list[str]] = None,
+        stream: bool = True,
+    ):
+        return MockModelClass.mocked_chat_create_stream(model=model, prompt_messages=prompt_messages, tools=tools)
diff --git a/api/tests/integration_tests/model_runtime/__mock/xinference.py b/api/tests/integration_tests/model_runtime/__mock/xinference.py
deleted file mode 100644
index e2abaa52b9..0000000000
--- a/api/tests/integration_tests/model_runtime/__mock/xinference.py
+++ /dev/null
@@ -1,169 +0,0 @@
-import os
-import re
-from typing import Union
-
-import pytest
-from _pytest.monkeypatch import MonkeyPatch
-from requests import Response
-from requests.sessions import Session
-from xinference_client.client.restful.restful_client import (  # type: ignore
-    Client,
-    RESTfulChatModelHandle,
-    RESTfulEmbeddingModelHandle,
-    RESTfulGenerateModelHandle,
-    RESTfulRerankModelHandle,
-)
-from xinference_client.types import Embedding, EmbeddingData, EmbeddingUsage  # type: ignore
-
-
-class MockXinferenceClass:
-    def get_chat_model(self: Client, model_uid: str) -> Union[RESTfulGenerateModelHandle, RESTfulChatModelHandle]:
-        if not re.match(r"https?:\/\/[^\s\/$.?#].[^\s]*$", self.base_url):
-            raise RuntimeError("404 Not Found")
-
-        if model_uid == "generate":
-            return RESTfulGenerateModelHandle(model_uid, base_url=self.base_url, auth_headers={})
-        if model_uid == "chat":
-            return RESTfulChatModelHandle(model_uid, base_url=self.base_url, auth_headers={})
-        if model_uid == "embedding":
-            return RESTfulEmbeddingModelHandle(model_uid, base_url=self.base_url, auth_headers={})
-        if model_uid == "rerank":
-            return RESTfulRerankModelHandle(model_uid, base_url=self.base_url, auth_headers={})
-        raise RuntimeError("404 Not Found")
-
-    def get(self: Session, url: str, **kwargs):
-        response = Response()
-        if "v1/models/" in url:
-            # get model uid
-            model_uid = url.split("/")[-1] or ""
-            if not re.match(
-                r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", model_uid
-            ) and model_uid not in {"generate", "chat", "embedding", "rerank"}:
-                response.status_code = 404
-                response._content = b"{}"
-                return response
-
-            # check if url is valid
-            if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", url):
-                response.status_code = 404
-                response._content = b"{}"
-                return response
-
-            if model_uid in {"generate", "chat"}:
-                response.status_code = 200
-                response._content = b"""{
-                    "model_type": "LLM",
-                    "address": "127.0.0.1:43877",
-                    "accelerators": [
-                        "0",
-                        "1"
-                    ],
-                    "model_name": "chatglm3-6b",
-                    "model_lang": [
-                        "en"
-                    ],
-                    "model_ability": [
-                        "generate",
-                        "chat"
-                    ],
-                    "model_description": "latest chatglm3",
-                    "model_format": "pytorch",
-                    "model_size_in_billions": 7,
-                    "quantization": "none",
-                    "model_hub": "huggingface",
-                    "revision": null,
-                    "context_length": 2048,
-                    "replica": 1
-                }"""
-                return response
-
-            elif model_uid == "embedding":
-                response.status_code = 200
-                response._content = b"""{
-                    "model_type": "embedding",
-                    "address": "127.0.0.1:43877",
-                    "accelerators": [
-                        "0",
-                        "1"
-                    ],
-                    "model_name": "bge",
-                    "model_lang": [
-                        "en"
-                    ],
-                    "revision": null,
-                    "max_tokens": 512
-                }"""
-                return response
-
-        elif "v1/cluster/auth" in url:
-            response.status_code = 200
-            response._content = b"""{
-                "auth": true
-            }"""
-            return response
-
-    def _check_cluster_authenticated(self):
-        self._cluster_authed = True
-
-    def rerank(
-        self: RESTfulRerankModelHandle, documents: list[str], query: str, top_n: int, return_documents: bool
-    ) -> dict:
-        # check if self._model_uid is a valid uuid
-        if (
-            not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid)
-            and self._model_uid != "rerank"
-        ):
-            raise RuntimeError("404 Not Found")
-
-        if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._base_url):
-            raise RuntimeError("404 Not Found")
-
-        if top_n is None:
-            top_n = 1
-
-        return {
-            "results": [
-                {"index": i, "document": doc, "relevance_score": 0.9} for i, doc in enumerate(documents[:top_n])
-            ]
-        }
-
-    def create_embedding(self: RESTfulGenerateModelHandle, input: Union[str, list[str]], **kwargs) -> dict:
-        # check if self._model_uid is a valid uuid
-        if (
-            not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid)
-            and self._model_uid != "embedding"
-        ):
-            raise RuntimeError("404 Not Found")
-
-        if isinstance(input, str):
-            input = [input]
-        ipt_len = len(input)
-
-        embedding = Embedding(
-            object="list",
-            model=self._model_uid,
-            data=[
-                EmbeddingData(index=i, object="embedding", embedding=[1919.810 for _ in range(768)])
-                for i in range(ipt_len)
-            ],
-            usage=EmbeddingUsage(prompt_tokens=ipt_len, total_tokens=ipt_len),
-        )
-
-        return embedding
-
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_xinference_mock(request, monkeypatch: MonkeyPatch):
-    if MOCK:
-        monkeypatch.setattr(Client, "get_model", MockXinferenceClass.get_chat_model)
-        monkeypatch.setattr(Client, "_check_cluster_authenticated", MockXinferenceClass._check_cluster_authenticated)
-        monkeypatch.setattr(Session, "get", MockXinferenceClass.get)
-        monkeypatch.setattr(RESTfulEmbeddingModelHandle, "create_embedding", MockXinferenceClass.create_embedding)
-        monkeypatch.setattr(RESTfulRerankModelHandle, "rerank", MockXinferenceClass.rerank)
-    yield
-
-    if MOCK:
-        monkeypatch.undo()
diff --git a/api/tests/integration_tests/model_runtime/anthropic/__init__.py b/api/tests/integration_tests/model_runtime/anthropic/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py b/api/tests/integration_tests/model_runtime/anthropic/test_llm.py
deleted file mode 100644
index 8f7e9ec487..0000000000
--- a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.anthropic.llm.llm import AnthropicLargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
-
-
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_anthropic_mock):
-    model = AnthropicLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="claude-instant-1.2", credentials={"anthropic_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="claude-instant-1.2", credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_anthropic_mock):
-    model = AnthropicLargeLanguageModel()
-
-    response = model.invoke(
-        model="claude-instant-1.2",
-        credentials={
-            "anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY"),
-            "anthropic_api_url": os.environ.get("ANTHROPIC_API_URL"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_invoke_stream_model(setup_anthropic_mock):
-    model = AnthropicLargeLanguageModel()
-
-    response = model.invoke(
-        model="claude-instant-1.2",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = AnthropicLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="claude-instant-1.2",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 18
diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py b/api/tests/integration_tests/model_runtime/anthropic/test_provider.py
deleted file mode 100644
index 6f1e50f431..0000000000
--- a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.anthropic.anthropic import AnthropicProvider
-from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
-
-
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_validate_provider_credentials(setup_anthropic_mock):
-    provider = AnthropicProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/assets/audio.mp3 b/api/tests/integration_tests/model_runtime/assets/audio.mp3
deleted file mode 100644
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diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/__init__.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py
deleted file mode 100644
index b995077984..0000000000
--- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py
+++ /dev/null
@@ -1,109 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_ai_studio.llm.llm import AzureAIStudioLargeLanguageModel
-
-
-@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True)
-def test_validate_credentials(setup_azure_ai_studio_mock):
-    model = AzureAIStudioLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="gpt-35-turbo",
-            credentials={"api_key": "invalid_key", "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")},
-        )
-
-    model.validate_credentials(
-        model="gpt-35-turbo",
-        credentials={
-            "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"),
-            "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True)
-def test_invoke_model(setup_azure_ai_studio_mock):
-    model = AzureAIStudioLargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-35-turbo",
-        credentials={
-            "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"),
-            "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True)
-def test_invoke_stream_model(setup_azure_ai_studio_mock):
-    model = AzureAIStudioLargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-35-turbo",
-        credentials={
-            "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"),
-            "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = AzureAIStudioLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="gpt-35-turbo",
-        credentials={
-            "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"),
-            "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py
deleted file mode 100644
index 8afe38b09b..0000000000
--- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_ai_studio.azure_ai_studio import AzureAIStudioProvider
-
-
-def test_validate_provider_credentials():
-    provider = AzureAIStudioProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={"api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")}
-    )
diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py
deleted file mode 100644
index 4d72327c0e..0000000000
--- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_ai_studio.rerank.rerank import AzureRerankModel
-
-
-def test_validate_credentials():
-    model = AzureRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="azure-ai-studio-rerank-v1",
-            credentials={"api_key": "invalid_key", "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")},
-        )
-
-
-def test_invoke_model():
-    model = AzureRerankModel()
-
-    result = model.invoke(
-        model="azure-ai-studio-rerank-v1",
-        credentials={
-            "api_key": os.getenv("AZURE_AI_STUDIO_JWT_TOKEN"),
-            "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"),
-        },
-        query="What is the capital of the United States?",
-        docs=[
-            "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-            "Census, Carson City had a population of 55,274.",
-            "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-            "are a political division controlled by the United States. Its capital is Saipan.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 1
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/azure_openai/__init__.py b/api/tests/integration_tests/model_runtime/azure_openai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py b/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py
deleted file mode 100644
index 216c50a182..0000000000
--- a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py
+++ /dev/null
@@ -1,292 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_openai.llm.llm import AzureOpenAILargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="gpt35",
-            credentials={
-                "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-                "openai_api_key": "invalid_key",
-                "base_model_name": "gpt-35-turbo",
-            },
-        )
-
-    model.validate_credentials(
-        model="gpt35",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_validate_credentials_for_completion_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="gpt-35-turbo-instruct",
-            credentials={
-                "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-                "openai_api_key": "invalid_key",
-                "base_model_name": "gpt-35-turbo-instruct",
-            },
-        )
-
-    model.validate_credentials(
-        model="gpt-35-turbo-instruct",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo-instruct",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_invoke_completion_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-35-turbo-instruct",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo-instruct",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 1},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_invoke_stream_completion_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-35-turbo-instruct",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo-instruct",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt35",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt35",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_vision(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-4v",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-4-vision-preview",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(
-                        data="Hello World!",
-                    ),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_tools(setup_openai_mock):
-    model = AzureOpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-35-turbo",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "gpt-35-turbo",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
-
-
-def test_get_num_tokens():
-    model = AzureOpenAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="gpt-35-turbo-instruct",
-        credentials={"base_model_name": "gpt-35-turbo-instruct"},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 3
-
-    num_tokens = model.get_num_tokens(
-        model="gpt35",
-        credentials={"base_model_name": "gpt-35-turbo"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py
deleted file mode 100644
index a1ae2b2e5b..0000000000
--- a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_openai.text_embedding.text_embedding import AzureOpenAITextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = AzureOpenAITextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="embedding",
-            credentials={
-                "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-                "openai_api_key": "invalid_key",
-                "base_model_name": "text-embedding-ada-002",
-            },
-        )
-
-    model.validate_credentials(
-        model="embedding",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "text-embedding-ada-002",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = AzureOpenAITextEmbeddingModel()
-
-    result = model.invoke(
-        model="embedding",
-        credentials={
-            "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"),
-            "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
-            "base_model_name": "text-embedding-ada-002",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = AzureOpenAITextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="embedding", credentials={"base_model_name": "text-embedding-ada-002"}, texts=["hello", "world"]
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/baichuan/__init__.py b/api/tests/integration_tests/model_runtime/baichuan/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py b/api/tests/integration_tests/model_runtime/baichuan/test_llm.py
deleted file mode 100644
index fe7fe96891..0000000000
--- a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py
+++ /dev/null
@@ -1,172 +0,0 @@
-import os
-from collections.abc import Generator
-from time import sleep
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.baichuan.llm.llm import BaichuanLanguageModel
-
-
-def test_predefined_models():
-    model = BaichuanLanguageModel()
-    model_schemas = model.predefined_models()
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-def test_validate_credentials_for_chat_model():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="baichuan2-turbo", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    response = model.invoke(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_model_with_system_message():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    response = model.invoke(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(content="请记住你是Kasumi。"),
-            UserPromptMessage(content="现在告诉我你是谁？"),
-        ],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_model():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    response = model.invoke(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_with_search():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    response = model.invoke(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-            "with_search_enhance": True,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    total_message = ""
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
-        total_message += chunk.delta.message.content
-
-    assert "不" not in total_message
-
-
-def test_get_num_tokens():
-    sleep(3)
-    model = BaichuanLanguageModel()
-
-    response = model.get_num_tokens(
-        model="baichuan2-turbo",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-            "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        tools=[],
-    )
-
-    assert isinstance(response, int)
-    assert response == 9
diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py b/api/tests/integration_tests/model_runtime/baichuan/test_provider.py
deleted file mode 100644
index 4036edfb7a..0000000000
--- a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.baichuan.baichuan import BaichuanProvider
-
-
-def test_validate_provider_credentials():
-    provider = BaichuanProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "hahahaha"})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py
deleted file mode 100644
index cbc63f3978..0000000000
--- a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.baichuan.text_embedding.text_embedding import BaichuanTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = BaichuanTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="baichuan-text-embedding", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="baichuan-text-embedding", credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")}
-    )
-
-
-def test_invoke_model():
-    model = BaichuanTextEmbeddingModel()
-
-    result = model.invoke(
-        model="baichuan-text-embedding",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 6
-
-
-def test_get_num_tokens():
-    model = BaichuanTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="baichuan-text-embedding",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
-
-
-def test_max_chunks():
-    model = BaichuanTextEmbeddingModel()
-
-    result = model.invoke(
-        model="baichuan-text-embedding",
-        credentials={
-            "api_key": os.environ.get("BAICHUAN_API_KEY"),
-        },
-        texts=[
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-        ],
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 22
diff --git a/api/tests/integration_tests/model_runtime/bedrock/__init__.py b/api/tests/integration_tests/model_runtime/bedrock/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py b/api/tests/integration_tests/model_runtime/bedrock/test_llm.py
deleted file mode 100644
index c19ec35a6e..0000000000
--- a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.bedrock.llm.llm import BedrockLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = BedrockLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="meta.llama2-13b-chat-v1", credentials={"anthropic_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="meta.llama2-13b-chat-v1",
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = BedrockLargeLanguageModel()
-
-    response = model.invoke(
-        model="meta.llama2-13b-chat-v1",
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens_to_sample": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = BedrockLargeLanguageModel()
-
-    response = model.invoke(
-        model="meta.llama2-13b-chat-v1",
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens_to_sample": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        print(chunk)
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = BedrockLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="meta.llama2-13b-chat-v1",
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        },
-        messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 18
diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py b/api/tests/integration_tests/model_runtime/bedrock/test_provider.py
deleted file mode 100644
index 080727829e..0000000000
--- a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.bedrock.bedrock import BedrockProvider
-
-
-def test_validate_provider_credentials():
-    provider = BedrockProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/chatglm/__init__.py b/api/tests/integration_tests/model_runtime/chatglm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py b/api/tests/integration_tests/model_runtime/chatglm/test_llm.py
deleted file mode 100644
index a7c5229e05..0000000000
--- a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py
+++ /dev/null
@@ -1,229 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.chatglm.llm.llm import ChatGLMLargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def test_predefined_models():
-    model = ChatGLMLargeLanguageModel()
-    model_schemas = model.predefined_models()
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = ChatGLMLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="chatglm2-6b", credentials={"api_base": "invalid_key"})
-
-    model.validate_credentials(model="chatglm2-6b", credentials={"api_base": os.environ.get("CHATGLM_API_BASE")})
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = ChatGLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm2-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_model(setup_openai_mock):
-    model = ChatGLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm2-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_model_with_functions(setup_openai_mock):
-    model = ChatGLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm3-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="你是一个天气机器人，你不知道今天的天气怎么样，你需要通过调用一个函数来获取天气信息。"
-            ),
-            UserPromptMessage(content="波士顿天气如何？"),
-        ],
-        model_parameters={
-            "temperature": 0,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=True,
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(response, Generator)
-
-    call: LLMResultChunk = None
-    chunks = []
-
-    for chunk in response:
-        chunks.append(chunk)
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-        if chunk.delta.message.tool_calls and len(chunk.delta.message.tool_calls) > 0:
-            call = chunk
-            break
-
-    assert call is not None
-    assert call.delta.message.tool_calls[0].function.name == "get_current_weather"
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_model_with_functions(setup_openai_mock):
-    model = ChatGLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm3-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[UserPromptMessage(content="What is the weather like in San Francisco?")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-    assert response.message.tool_calls[0].function.name == "get_current_weather"
-
-
-def test_get_num_tokens():
-    model = ChatGLMLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="chatglm2-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 77
-
-    num_tokens = model.get_num_tokens(
-        model="chatglm2-6b",
-        credentials={"api_base": os.environ.get("CHATGLM_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py b/api/tests/integration_tests/model_runtime/chatglm/test_provider.py
deleted file mode 100644
index 7907805d07..0000000000
--- a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.chatglm.chatglm import ChatGLMProvider
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_provider_credentials(setup_openai_mock):
-    provider = ChatGLMProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_base": "hahahaha"})
-
-    provider.validate_provider_credentials(credentials={"api_base": os.environ.get("CHATGLM_API_BASE")})
diff --git a/api/tests/integration_tests/model_runtime/cohere/__init__.py b/api/tests/integration_tests/model_runtime/cohere/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/cohere/test_llm.py b/api/tests/integration_tests/model_runtime/cohere/test_llm.py
deleted file mode 100644
index b7f707e935..0000000000
--- a/api/tests/integration_tests/model_runtime/cohere/test_llm.py
+++ /dev/null
@@ -1,191 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.cohere.llm.llm import CohereLargeLanguageModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = CohereLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="command-light-chat", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="command-light-chat", credentials={"api_key": os.environ.get("COHERE_API_KEY")})
-
-
-def test_validate_credentials_for_completion_model():
-    model = CohereLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="command-light", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="command-light", credentials={"api_key": os.environ.get("COHERE_API_KEY")})
-
-
-def test_invoke_completion_model():
-    model = CohereLargeLanguageModel()
-
-    credentials = {"api_key": os.environ.get("COHERE_API_KEY")}
-
-    result = model.invoke(
-        model="command-light",
-        credentials=credentials,
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 1},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-    assert model._num_tokens_from_string("command-light", credentials, result.message.content) == 1
-
-
-def test_invoke_stream_completion_model():
-    model = CohereLargeLanguageModel()
-
-    result = model.invoke(
-        model="command-light",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_chat_model():
-    model = CohereLargeLanguageModel()
-
-    result = model.invoke(
-        model="command-light-chat",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "p": 0.99,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-def test_invoke_stream_chat_model():
-    model = CohereLargeLanguageModel()
-
-    result = model.invoke(
-        model="command-light-chat",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = CohereLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="command-light",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 3
-
-    num_tokens = model.get_num_tokens(
-        model="command-light-chat",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 15
-
-
-def test_fine_tuned_model():
-    model = CohereLargeLanguageModel()
-
-    # test invoke
-    result = model.invoke(
-        model="85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "completion"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-
-
-def test_fine_tuned_chat_model():
-    model = CohereLargeLanguageModel()
-
-    # test invoke
-    result = model.invoke(
-        model="94f2d55a-4c79-4c00-bde4-23962e74b170-ft",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "chat"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
diff --git a/api/tests/integration_tests/model_runtime/cohere/test_provider.py b/api/tests/integration_tests/model_runtime/cohere/test_provider.py
deleted file mode 100644
index fb7e6d3498..0000000000
--- a/api/tests/integration_tests/model_runtime/cohere/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.cohere.cohere import CohereProvider
-
-
-def test_validate_provider_credentials():
-    provider = CohereProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("COHERE_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py b/api/tests/integration_tests/model_runtime/cohere/test_rerank.py
deleted file mode 100644
index a1b6922128..0000000000
--- a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.cohere.rerank.rerank import CohereRerankModel
-
-
-def test_validate_credentials():
-    model = CohereRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")})
-
-
-def test_invoke_model():
-    model = CohereRerankModel()
-
-    result = model.invoke(
-        model="rerank-english-v2.0",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        query="What is the capital of the United States?",
-        docs=[
-            "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-            "Census, Carson City had a population of 55,274.",
-            "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) "
-            "is the capital of the United States. It is a federal district. The President of the USA and many major "
-            "national government offices are in the territory. This makes it the political center of the United "
-            "States of America.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 1
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py b/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py
deleted file mode 100644
index ae26d36635..0000000000
--- a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.cohere.text_embedding.text_embedding import CohereTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = CohereTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="embed-multilingual-v3.0", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="embed-multilingual-v3.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")}
-    )
-
-
-def test_invoke_model():
-    model = CohereTextEmbeddingModel()
-
-    result = model.invoke(
-        model="embed-multilingual-v3.0",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    assert result.usage.total_tokens == 811
-
-
-def test_get_num_tokens():
-    model = CohereTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="embed-multilingual-v3.0",
-        credentials={"api_key": os.environ.get("COHERE_API_KEY")},
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 3
diff --git a/api/tests/integration_tests/model_runtime/fireworks/__init__.py b/api/tests/integration_tests/model_runtime/fireworks/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_llm.py b/api/tests/integration_tests/model_runtime/fireworks/test_llm.py
deleted file mode 100644
index 699ca293a2..0000000000
--- a/api/tests/integration_tests/model_runtime/fireworks/test_llm.py
+++ /dev/null
@@ -1,186 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.fireworks.llm.llm import FireworksLargeLanguageModel
-
-"""FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def test_predefined_models():
-    model = FireworksLargeLanguageModel()
-    model_schemas = model.predefined_models()
-
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = FireworksLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        # model name to gpt-3.5-turbo because of mocking
-        model.validate_credentials(model="gpt-3.5-turbo", credentials={"fireworks_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model(setup_openai_mock):
-    model = FireworksLargeLanguageModel()
-
-    result = model.invoke(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="foo",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_tools(setup_openai_mock):
-    model = FireworksLargeLanguageModel()
-
-    result = model.invoke(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="foo",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock):
-    model = FireworksLargeLanguageModel()
-
-    result = model.invoke(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="foo",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = FireworksLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 10
-
-    num_tokens = model.get_num_tokens(
-        model="accounts/fireworks/models/llama-v3p1-8b-instruct",
-        credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-    )
-
-    assert num_tokens == 77
diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_provider.py b/api/tests/integration_tests/model_runtime/fireworks/test_provider.py
deleted file mode 100644
index a68cf1a1a8..0000000000
--- a/api/tests/integration_tests/model_runtime/fireworks/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.fireworks.fireworks import FireworksProvider
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_provider_credentials(setup_openai_mock):
-    provider = FireworksProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py b/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py
deleted file mode 100644
index 7bf723b3a9..0000000000
--- a/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.fireworks.text_embedding.text_embedding import FireworksTextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = FireworksTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="nomic-ai/nomic-embed-text-v1.5", credentials={"fireworks_api_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="nomic-ai/nomic-embed-text-v1.5", credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = FireworksTextEmbeddingModel()
-
-    result = model.invoke(
-        model="nomic-ai/nomic-embed-text-v1.5",
-        credentials={
-            "fireworks_api_key": os.environ.get("FIREWORKS_API_KEY"),
-        },
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="foo",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = FireworksTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="nomic-ai/nomic-embed-text-v1.5",
-        credentials={
-            "fireworks_api_key": os.environ.get("FIREWORKS_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/fishaudio/__init__.py b/api/tests/integration_tests/model_runtime/fishaudio/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py b/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py
deleted file mode 100644
index 3526574b61..0000000000
--- a/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import os
-
-import httpx
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.fishaudio.fishaudio import FishAudioProvider
-from tests.integration_tests.model_runtime.__mock.fishaudio import setup_fishaudio_mock
-
-
-@pytest.mark.parametrize("setup_fishaudio_mock", [["list-models"]], indirect=True)
-def test_validate_provider_credentials(setup_fishaudio_mock):
-    print("-----", httpx.get)
-    provider = FishAudioProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(
-            credentials={
-                "api_key": "bad_api_key",
-                "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"),
-                "use_public_models": "false",
-                "latency": "normal",
-            }
-        )
-
-    provider.validate_provider_credentials(
-        credentials={
-            "api_key": os.environ.get("FISH_AUDIO_API_KEY", "test"),
-            "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"),
-            "use_public_models": "false",
-            "latency": "normal",
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py b/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py
deleted file mode 100644
index f61fee28b9..0000000000
--- a/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.model_providers.fishaudio.tts.tts import (
-    FishAudioText2SpeechModel,
-)
-from tests.integration_tests.model_runtime.__mock.fishaudio import setup_fishaudio_mock
-
-
-@pytest.mark.parametrize("setup_fishaudio_mock", [["tts"]], indirect=True)
-def test_invoke_model(setup_fishaudio_mock):
-    model = FishAudioText2SpeechModel()
-
-    result = model.invoke(
-        model="tts-default",
-        tenant_id="test",
-        credentials={
-            "api_key": os.environ.get("FISH_AUDIO_API_KEY", "test"),
-            "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"),
-            "use_public_models": "false",
-            "latency": "normal",
-        },
-        content_text="Hello, world!",
-        voice="03397b4c4be74759b72533b663fbd001",
-    )
-
-    content = b""
-    for chunk in result:
-        content += chunk
-
-    assert content != b""
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/__init__.py b/api/tests/integration_tests/model_runtime/gitee_ai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py
deleted file mode 100644
index 753c52ce31..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py
+++ /dev/null
@@ -1,132 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gitee_ai.llm.llm import GiteeAILargeLanguageModel
-
-
-def test_predefined_models():
-    model = GiteeAILargeLanguageModel()
-    model_schemas = model.predefined_models()
-
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-def test_validate_credentials_for_chat_model():
-    model = GiteeAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        # model name to gpt-3.5-turbo because of mocking
-        model.validate_credentials(model="gpt-3.5-turbo", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="Qwen2-7B-Instruct",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-    )
-
-
-def test_invoke_chat_model():
-    model = GiteeAILargeLanguageModel()
-
-    result = model.invoke(
-        model="Qwen2-7B-Instruct",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-            "stream": False,
-        },
-        stop=["How"],
-        stream=False,
-        user="foo",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-def test_invoke_stream_chat_model():
-    model = GiteeAILargeLanguageModel()
-
-    result = model.invoke(
-        model="Qwen2-7B-Instruct",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100, "stream": False},
-        stream=True,
-        user="foo",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-
-
-def test_get_num_tokens():
-    model = GiteeAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="Qwen2-7B-Instruct",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 10
-
-    num_tokens = model.get_num_tokens(
-        model="Qwen2-7B-Instruct",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-    )
-
-    assert num_tokens == 77
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py
deleted file mode 100644
index f12ed54a45..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gitee_ai.gitee_ai import GiteeAIProvider
-
-
-def test_validate_provider_credentials():
-    provider = GiteeAIProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "invalid_key"})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py
deleted file mode 100644
index 0e5914a61f..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gitee_ai.rerank.rerank import GiteeAIRerankModel
-
-
-def test_validate_credentials():
-    model = GiteeAIRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-reranker-v2-m3",
-            credentials={"api_key": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "api_key": os.environ.get("GITEE_AI_API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = GiteeAIRerankModel()
-    result = model.invoke(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "api_key": os.environ.get("GITEE_AI_API_KEY"),
-        },
-        query="What is the capital of the United States?",
-        docs=[
-            "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-            "Census, Carson City had a population of 55,274.",
-            "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-            "are a political division controlled by the United States. Its capital is Saipan.",
-        ],
-        top_n=1,
-        score_threshold=0.01,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].score >= 0.01
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py
deleted file mode 100644
index 4a01453fdd..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gitee_ai.speech2text.speech2text import GiteeAISpeech2TextModel
-
-
-def test_validate_credentials():
-    model = GiteeAISpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="whisper-base",
-            credentials={"api_key": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="whisper-base",
-        credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")},
-    )
-
-
-def test_invoke_model():
-    model = GiteeAISpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    # Open the file and get the file object
-    with open(audio_file_path, "rb") as audio_file:
-        file = audio_file
-
-        result = model.invoke(
-            model="whisper-base", credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, file=file
-        )
-
-        assert isinstance(result, str)
-        assert result == "1 2 3 4 5 6 7 8 9 10"
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py
deleted file mode 100644
index 34648f0bc8..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gitee_ai.text_embedding.text_embedding import GiteeAIEmbeddingModel
-
-
-def test_validate_credentials():
-    model = GiteeAIEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="bge-large-zh-v1.5", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="bge-large-zh-v1.5", credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")})
-
-
-def test_invoke_model():
-    model = GiteeAIEmbeddingModel()
-
-    result = model.invoke(
-        model="bge-large-zh-v1.5",
-        credentials={
-            "api_key": os.environ.get("GITEE_AI_API_KEY"),
-        },
-        texts=["hello", "world"],
-        user="user",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-
-
-def test_get_num_tokens():
-    model = GiteeAIEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="bge-large-zh-v1.5",
-        credentials={
-            "api_key": os.environ.get("GITEE_AI_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py
deleted file mode 100644
index 9f18161a7b..0000000000
--- a/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import os
-
-from core.model_runtime.model_providers.gitee_ai.tts.tts import GiteeAIText2SpeechModel
-
-
-def test_invoke_model():
-    model = GiteeAIText2SpeechModel()
-
-    result = model.invoke(
-        model="speecht5_tts",
-        tenant_id="test",
-        credentials={
-            "api_key": os.environ.get("GITEE_AI_API_KEY"),
-        },
-        content_text="Hello, world!",
-        voice="",
-    )
-
-    content = b""
-    for chunk in result:
-        content += chunk
-
-    assert content != b""
diff --git a/api/tests/integration_tests/model_runtime/google/__init__.py b/api/tests/integration_tests/model_runtime/google/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/google/test_llm.py b/api/tests/integration_tests/model_runtime/google/test_llm.py
deleted file mode 100644
index 65357be658..0000000000
--- a/api/tests/integration_tests/model_runtime/google/test_llm.py
+++ /dev/null
@@ -1,183 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.google.llm.llm import GoogleLargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.google import setup_google_mock, setup_mock_redis
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_google_mock):
-    model = GoogleLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="gemini-pro", credentials={"google_api_key": "invalid_key"})
-
-    model.validate_credentials(model="gemini-pro", credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")})
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_google_mock):
-    model = GoogleLargeLanguageModel()
-
-    response = model.invoke(
-        model="gemini-1.5-pro",
-        credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Give me your worst dad joke or i will unplug you"),
-            AssistantPromptMessage(
-                content="Why did the scarecrow win an award? Because he was outstanding in his field!"
-            ),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(data="ok something snarkier pls"),
-                    TextPromptMessageContent(data="i may still unplug you"),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.5, "top_p": 1.0, "max_output_tokens": 2048},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_invoke_stream_model(setup_google_mock):
-    model = GoogleLargeLanguageModel()
-
-    response = model.invoke(
-        model="gemini-1.5-pro",
-        credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Give me your worst dad joke or i will unplug you"),
-            AssistantPromptMessage(
-                content="Why did the scarecrow win an award? Because he was outstanding in his field!"
-            ),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(data="ok something snarkier pls"),
-                    TextPromptMessageContent(data="i may still unplug you"),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.2, "top_k": 5, "max_tokens": 2048},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_invoke_chat_model_with_vision(setup_google_mock, setup_mock_redis):
-    model = GoogleLargeLanguageModel()
-
-    result = model.invoke(
-        model="gemini-1.5-pro",
-        credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(data="what do you see?"),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock, setup_mock_redis):
-    model = GoogleLargeLanguageModel()
-
-    result = model.invoke(
-        model="gemini-1.5-pro",
-        credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(content="You are a helpful AI assistant."),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(data="what do you see?"),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            ),
-            AssistantPromptMessage(content="I see a blue letter 'D' with a gradient from light blue to dark blue."),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(data="what about now?"),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    print(f"result: {result.message.content}")
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-def test_get_num_tokens():
-    model = GoogleLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="gemini-1.5-pro",
-        credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens > 0  # The exact number of tokens may vary based on the model's tokenization
diff --git a/api/tests/integration_tests/model_runtime/google/test_provider.py b/api/tests/integration_tests/model_runtime/google/test_provider.py
deleted file mode 100644
index c217e4fe05..0000000000
--- a/api/tests/integration_tests/model_runtime/google/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.google.google import GoogleProvider
-from tests.integration_tests.model_runtime.__mock.google import setup_google_mock
-
-
-@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True)
-def test_validate_provider_credentials(setup_google_mock):
-    provider = GoogleProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/gpustack/__init__.py b/api/tests/integration_tests/model_runtime/gpustack/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py b/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py
deleted file mode 100644
index f56ad0dadc..0000000000
--- a/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gpustack.text_embedding.text_embedding import (
-    GPUStackTextEmbeddingModel,
-)
-
-
-def test_validate_credentials():
-    model = GPUStackTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-m3",
-            credentials={
-                "endpoint_url": "invalid_url",
-                "api_key": "invalid_api_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="bge-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = GPUStackTextEmbeddingModel()
-
-    result = model.invoke(
-        model="bge-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "context_size": 8192,
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 7
diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_llm.py b/api/tests/integration_tests/model_runtime/gpustack/test_llm.py
deleted file mode 100644
index 326b7b16f0..0000000000
--- a/api/tests/integration_tests/model_runtime/gpustack/test_llm.py
+++ /dev/null
@@ -1,162 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import (
-    LLMResult,
-    LLMResultChunk,
-    LLMResultChunkDelta,
-)
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gpustack.llm.llm import GPUStackLanguageModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = GPUStackLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="llama-3.2-1b-instruct",
-            credentials={
-                "endpoint_url": "invalid_url",
-                "api_key": "invalid_api_key",
-                "mode": "chat",
-            },
-        )
-
-    model.validate_credentials(
-        model="llama-3.2-1b-instruct",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "chat",
-        },
-    )
-
-
-def test_invoke_completion_model():
-    model = GPUStackLanguageModel()
-
-    response = model.invoke(
-        model="llama-3.2-1b-instruct",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "completion",
-        },
-        prompt_messages=[UserPromptMessage(content="ping")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=[],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_chat_model():
-    model = GPUStackLanguageModel()
-
-    response = model.invoke(
-        model="llama-3.2-1b-instruct",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "chat",
-        },
-        prompt_messages=[UserPromptMessage(content="ping")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=[],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_chat_model():
-    model = GPUStackLanguageModel()
-
-    response = model.invoke(
-        model="llama-3.2-1b-instruct",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "chat",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = GPUStackLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="????",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {
-                            "type": "string",
-                            "description": "The city and state e.g. San Francisco, CA",
-                        },
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 80
-
-    num_tokens = model.get_num_tokens(
-        model="????",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-            "mode": "chat",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 10
diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py b/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py
deleted file mode 100644
index f5c2d2d21c..0000000000
--- a/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py
+++ /dev/null
@@ -1,107 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gpustack.rerank.rerank import (
-    GPUStackRerankModel,
-)
-
-
-def test_validate_credentials_for_rerank_model():
-    model = GPUStackRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-reranker-v2-m3",
-            credentials={
-                "endpoint_url": "invalid_url",
-                "api_key": "invalid_api_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-    )
-
-
-def test_invoke_rerank_model():
-    model = GPUStackRerankModel()
-
-    response = model.invoke(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        query="Organic skincare products for sensitive skin",
-        docs=[
-            "Eco-friendly kitchenware for modern homes",
-            "Biodegradable cleaning supplies for eco-conscious consumers",
-            "Organic cotton baby clothes for sensitive skin",
-            "Natural organic skincare range for sensitive skin",
-            "Tech gadgets for smart homes: 2024 edition",
-            "Sustainable gardening tools and compost solutions",
-            "Sensitive skin-friendly facial cleansers and toners",
-            "Organic food wraps and storage solutions",
-            "Yoga mats made from recycled materials",
-        ],
-        top_n=3,
-        score_threshold=-0.75,
-        user="abc-123",
-    )
-
-    assert isinstance(response, RerankResult)
-    assert len(response.docs) == 3
-
-
-def test__invoke():
-    model = GPUStackRerankModel()
-
-    # Test case 1: Empty docs
-    result = model._invoke(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        query="Organic skincare products for sensitive skin",
-        docs=[],
-        top_n=3,
-        score_threshold=0.75,
-        user="abc-123",
-    )
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 0
-
-    # Test case 2: Expected docs
-    result = model._invoke(
-        model="bge-reranker-v2-m3",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        query="Organic skincare products for sensitive skin",
-        docs=[
-            "Eco-friendly kitchenware for modern homes",
-            "Biodegradable cleaning supplies for eco-conscious consumers",
-            "Organic cotton baby clothes for sensitive skin",
-            "Natural organic skincare range for sensitive skin",
-            "Tech gadgets for smart homes: 2024 edition",
-            "Sustainable gardening tools and compost solutions",
-            "Sensitive skin-friendly facial cleansers and toners",
-            "Organic food wraps and storage solutions",
-            "Yoga mats made from recycled materials",
-        ],
-        top_n=3,
-        score_threshold=-0.75,
-        user="abc-123",
-    )
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 3
-    assert all(isinstance(doc, RerankDocument) for doc in result.docs)
diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py b/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py
deleted file mode 100644
index c215e9b739..0000000000
--- a/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import os
-from pathlib import Path
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gpustack.speech2text.speech2text import GPUStackSpeech2TextModel
-
-
-def test_validate_credentials():
-    model = GPUStackSpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="faster-whisper-medium",
-            credentials={
-                "endpoint_url": "invalid_url",
-                "api_key": "invalid_api_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="faster-whisper-medium",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = GPUStackSpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    file = Path(audio_file_path).read_bytes()
-
-    result = model.invoke(
-        model="faster-whisper-medium",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        file=file,
-    )
-
-    assert isinstance(result, str)
-    assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_tts.py b/api/tests/integration_tests/model_runtime/gpustack/test_tts.py
deleted file mode 100644
index 8997ad074c..0000000000
--- a/api/tests/integration_tests/model_runtime/gpustack/test_tts.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import os
-
-from core.model_runtime.model_providers.gpustack.tts.tts import GPUStackText2SpeechModel
-
-
-def test_invoke_model():
-    model = GPUStackText2SpeechModel()
-
-    result = model.invoke(
-        model="cosyvoice-300m-sft",
-        tenant_id="test",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        content_text="Hello world",
-        voice="Chinese Female",
-    )
-
-    content = b""
-    for chunk in result:
-        content += chunk
-
-    assert content != b""
diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/__init__.py b/api/tests/integration_tests/model_runtime/huggingface_hub/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
deleted file mode 100644
index 8f90c68029..0000000000
--- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
+++ /dev/null
@@ -1,278 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.huggingface_hub.llm.llm import HuggingfaceHubLargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.huggingface import setup_huggingface_mock
-
-
-@pytest.mark.skip
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_hosted_inference_api_validate_credentials(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="HuggingFaceH4/zephyr-7b-beta",
-            credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"},
-        )
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="fake-model",
-            credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="HuggingFaceH4/zephyr-7b-beta",
-        credentials={
-            "huggingfacehub_api_type": "hosted_inference_api",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_hosted_inference_api_invoke_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="HuggingFaceH4/zephyr-7b-beta",
-        credentials={
-            "huggingfacehub_api_type": "hosted_inference_api",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_hosted_inference_api_invoke_stream_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="HuggingFaceH4/zephyr-7b-beta",
-        credentials={
-            "huggingfacehub_api_type": "hosted_inference_api",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text_generation_validate_credentials(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="openchat/openchat_3.5",
-            credentials={
-                "huggingfacehub_api_type": "inference_endpoints",
-                "huggingfacehub_api_token": "invalid_key",
-                "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"),
-                "task_type": "text-generation",
-            },
-        )
-
-    model.validate_credentials(
-        model="openchat/openchat_3.5",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text-generation",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text_generation_invoke_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="openchat/openchat_3.5",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text-generation",
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text_generation_invoke_stream_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="openchat/openchat_3.5",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text-generation",
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text2text_generation_validate_credentials(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="google/mt5-base",
-            credentials={
-                "huggingfacehub_api_type": "inference_endpoints",
-                "huggingfacehub_api_token": "invalid_key",
-                "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"),
-                "task_type": "text2text-generation",
-            },
-        )
-
-    model.validate_credentials(
-        model="google/mt5-base",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text2text-generation",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text2text_generation_invoke_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="google/mt5-base",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text2text-generation",
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True)
-def test_inference_endpoints_text2text_generation_invoke_stream_model(setup_huggingface_mock):
-    model = HuggingfaceHubLargeLanguageModel()
-
-    response = model.invoke(
-        model="google/mt5-base",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text2text-generation",
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = HuggingfaceHubLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="google/mt5-base",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"),
-            "task_type": "text2text-generation",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 7
diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py
deleted file mode 100644
index 0ee593f38a..0000000000
--- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py
+++ /dev/null
@@ -1,112 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.huggingface_hub.text_embedding.text_embedding import (
-    HuggingfaceHubTextEmbeddingModel,
-)
-
-
-def test_hosted_inference_api_validate_credentials():
-    model = HuggingfaceHubTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="facebook/bart-base",
-            credentials={
-                "huggingfacehub_api_type": "hosted_inference_api",
-                "huggingfacehub_api_token": "invalid_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="facebook/bart-base",
-        credentials={
-            "huggingfacehub_api_type": "hosted_inference_api",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-        },
-    )
-
-
-def test_hosted_inference_api_invoke_model():
-    model = HuggingfaceHubTextEmbeddingModel()
-
-    result = model.invoke(
-        model="facebook/bart-base",
-        credentials={
-            "huggingfacehub_api_type": "hosted_inference_api",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_inference_endpoints_validate_credentials():
-    model = HuggingfaceHubTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="all-MiniLM-L6-v2",
-            credentials={
-                "huggingfacehub_api_type": "inference_endpoints",
-                "huggingfacehub_api_token": "invalid_key",
-                "huggingface_namespace": "Dify-AI",
-                "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"),
-                "task_type": "feature-extraction",
-            },
-        )
-
-    model.validate_credentials(
-        model="all-MiniLM-L6-v2",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingface_namespace": "Dify-AI",
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"),
-            "task_type": "feature-extraction",
-        },
-    )
-
-
-def test_inference_endpoints_invoke_model():
-    model = HuggingfaceHubTextEmbeddingModel()
-
-    result = model.invoke(
-        model="all-MiniLM-L6-v2",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingface_namespace": "Dify-AI",
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"),
-            "task_type": "feature-extraction",
-        },
-        texts=["hello", "world"],
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 0
-
-
-def test_get_num_tokens():
-    model = HuggingfaceHubTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="all-MiniLM-L6-v2",
-        credentials={
-            "huggingfacehub_api_type": "inference_endpoints",
-            "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"),
-            "huggingface_namespace": "Dify-AI",
-            "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"),
-            "task_type": "feature-extraction",
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/__init__.py b/api/tests/integration_tests/model_runtime/huggingface_tei/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py
deleted file mode 100644
index 33160062e5..0000000000
--- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import (
-    HuggingfaceTeiTextEmbeddingModel,
-    TeiHelper,
-)
-from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch):
-    if MOCK:
-        monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter)
-        monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize)
-        monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings)
-        monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank)
-    yield
-
-    if MOCK:
-        monkeypatch.undo()
-
-
-@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_tei_mock):
-    model = HuggingfaceTeiTextEmbeddingModel()
-    # model name is only used in mock
-    model_name = "embedding"
-
-    if MOCK:
-        # TEI Provider will check model type by API endpoint, at real server, the model type is correct.
-        # So we dont need to check model type here. Only check in mock
-        with pytest.raises(CredentialsValidateFailedError):
-            model.validate_credentials(
-                model="reranker",
-                credentials={
-                    "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""),
-                    "api_key": os.environ.get("TEI_API_KEY", ""),
-                },
-            )
-
-    model.validate_credentials(
-        model=model_name,
-        credentials={
-            "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""),
-            "api_key": os.environ.get("TEI_API_KEY", ""),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_tei_mock):
-    model = HuggingfaceTeiTextEmbeddingModel()
-    model_name = "embedding"
-
-    result = model.invoke(
-        model=model_name,
-        credentials={
-            "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""),
-            "api_key": os.environ.get("TEI_API_KEY", ""),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens > 0
diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py
deleted file mode 100644
index 9777367063..0000000000
--- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.huggingface_tei.rerank.rerank import (
-    HuggingfaceTeiRerankModel,
-)
-from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import TeiHelper
-from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass
-
-MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
-
-
-@pytest.fixture
-def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch):
-    if MOCK:
-        monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter)
-        monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize)
-        monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings)
-        monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank)
-    yield
-
-    if MOCK:
-        monkeypatch.undo()
-
-
-@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_tei_mock):
-    model = HuggingfaceTeiRerankModel()
-    # model name is only used in mock
-    model_name = "reranker"
-
-    if MOCK:
-        # TEI Provider will check model type by API endpoint, at real server, the model type is correct.
-        # So we dont need to check model type here. Only check in mock
-        with pytest.raises(CredentialsValidateFailedError):
-            model.validate_credentials(
-                model="embedding",
-                credentials={
-                    "server_url": os.environ.get("TEI_RERANK_SERVER_URL"),
-                    "api_key": os.environ.get("TEI_API_KEY", ""),
-                },
-            )
-
-    model.validate_credentials(
-        model=model_name,
-        credentials={
-            "server_url": os.environ.get("TEI_RERANK_SERVER_URL"),
-            "api_key": os.environ.get("TEI_API_KEY", ""),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_tei_mock):
-    model = HuggingfaceTeiRerankModel()
-    # model name is only used in mock
-    model_name = "reranker"
-
-    result = model.invoke(
-        model=model_name,
-        credentials={
-            "server_url": os.environ.get("TEI_RERANK_SERVER_URL"),
-            "api_key": os.environ.get("TEI_API_KEY", ""),
-        },
-        query="Who is Kasumi?",
-        docs=[
-            'Kasumi is a girl\'s name of Japanese origin meaning "mist".',
-            "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",
-            "and she leads a team named PopiParty.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 0
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/hunyuan/__init__.py b/api/tests/integration_tests/model_runtime/hunyuan/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py
deleted file mode 100644
index b3049a06d9..0000000000
--- a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py
+++ /dev/null
@@ -1,90 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.hunyuan.llm.llm import HunyuanLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = HunyuanLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="hunyuan-standard", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="hunyuan-standard",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = HunyuanLargeLanguageModel()
-
-    response = model.invoke(
-        model="hunyuan-standard",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hi")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = HunyuanLargeLanguageModel()
-
-    response = model.invoke(
-        model="hunyuan-standard",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hi")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = HunyuanLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="hunyuan-standard",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 14
diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py
deleted file mode 100644
index e3748c2ce7..0000000000
--- a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.hunyuan.hunyuan import HunyuanProvider
-
-
-def test_validate_provider_credentials():
-    provider = HunyuanProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py
deleted file mode 100644
index 69d14dffee..0000000000
--- a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.hunyuan.text_embedding.text_embedding import HunyuanTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = HunyuanTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="hunyuan-embedding", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="hunyuan-embedding",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = HunyuanTextEmbeddingModel()
-
-    result = model.invoke(
-        model="hunyuan-embedding",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 6
-
-
-def test_get_num_tokens():
-    model = HunyuanTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="hunyuan-embedding",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
-
-
-def test_max_chunks():
-    model = HunyuanTextEmbeddingModel()
-
-    result = model.invoke(
-        model="hunyuan-embedding",
-        credentials={
-            "secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
-            "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
-        },
-        texts=[
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-            "hello",
-            "world",
-        ],
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 22
diff --git a/api/tests/integration_tests/model_runtime/jina/__init__.py b/api/tests/integration_tests/model_runtime/jina/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/jina/test_provider.py b/api/tests/integration_tests/model_runtime/jina/test_provider.py
deleted file mode 100644
index e3b6128c59..0000000000
--- a/api/tests/integration_tests/model_runtime/jina/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.jina.jina import JinaProvider
-
-
-def test_validate_provider_credentials():
-    provider = JinaProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "hahahaha"})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("JINA_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py b/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py
deleted file mode 100644
index 290735ec49..0000000000
--- a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.jina.text_embedding.text_embedding import JinaTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = JinaTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="jina-embeddings-v2-base-en", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="jina-embeddings-v2-base-en", credentials={"api_key": os.environ.get("JINA_API_KEY")}
-    )
-
-
-def test_invoke_model():
-    model = JinaTextEmbeddingModel()
-
-    result = model.invoke(
-        model="jina-embeddings-v2-base-en",
-        credentials={
-            "api_key": os.environ.get("JINA_API_KEY"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 6
-
-
-def test_get_num_tokens():
-    model = JinaTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="jina-embeddings-v2-base-en",
-        credentials={
-            "api_key": os.environ.get("JINA_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 6
diff --git a/api/tests/integration_tests/model_runtime/localai/__init__.py b/api/tests/integration_tests/model_runtime/localai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/localai/test_embedding.py b/api/tests/integration_tests/model_runtime/localai/test_embedding.py
deleted file mode 100644
index 7fd9f2b300..0000000000
--- a/api/tests/integration_tests/model_runtime/localai/test_embedding.py
+++ /dev/null
@@ -1,4 +0,0 @@
-"""
-LocalAI Embedding Interface is temporarily unavailable due to
-we could not find a way to test it for now.
-"""
diff --git a/api/tests/integration_tests/model_runtime/localai/test_llm.py b/api/tests/integration_tests/model_runtime/localai/test_llm.py
deleted file mode 100644
index 51e899fd51..0000000000
--- a/api/tests/integration_tests/model_runtime/localai/test_llm.py
+++ /dev/null
@@ -1,172 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.localai.llm.llm import LocalAILanguageModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = LocalAILanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="chinese-llama-2-7b",
-            credentials={
-                "server_url": "hahahaha",
-                "completion_type": "completion",
-            },
-        )
-
-    model.validate_credentials(
-        model="chinese-llama-2-7b",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "completion",
-        },
-    )
-
-
-def test_invoke_completion_model():
-    model = LocalAILanguageModel()
-
-    response = model.invoke(
-        model="chinese-llama-2-7b",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "completion",
-        },
-        prompt_messages=[UserPromptMessage(content="ping")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=[],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_chat_model():
-    model = LocalAILanguageModel()
-
-    response = model.invoke(
-        model="chinese-llama-2-7b",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "chat_completion",
-        },
-        prompt_messages=[UserPromptMessage(content="ping")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=[],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_completion_model():
-    model = LocalAILanguageModel()
-
-    response = model.invoke(
-        model="chinese-llama-2-7b",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "completion",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_stream_chat_model():
-    model = LocalAILanguageModel()
-
-    response = model.invoke(
-        model="chinese-llama-2-7b",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "chat_completion",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10},
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = LocalAILanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="????",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "chat_completion",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 77
-
-    num_tokens = model.get_num_tokens(
-        model="????",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "chat_completion",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 10
diff --git a/api/tests/integration_tests/model_runtime/localai/test_rerank.py b/api/tests/integration_tests/model_runtime/localai/test_rerank.py
deleted file mode 100644
index 13c7df6d14..0000000000
--- a/api/tests/integration_tests/model_runtime/localai/test_rerank.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.localai.rerank.rerank import LocalaiRerankModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = LocalaiRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-reranker-v2-m3",
-            credentials={
-                "server_url": "hahahaha",
-                "completion_type": "completion",
-            },
-        )
-
-    model.validate_credentials(
-        model="bge-reranker-base",
-        credentials={
-            "server_url": os.environ.get("LOCALAI_SERVER_URL"),
-            "completion_type": "completion",
-        },
-    )
-
-
-def test_invoke_rerank_model():
-    model = LocalaiRerankModel()
-
-    response = model.invoke(
-        model="bge-reranker-base",
-        credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")},
-        query="Organic skincare products for sensitive skin",
-        docs=[
-            "Eco-friendly kitchenware for modern homes",
-            "Biodegradable cleaning supplies for eco-conscious consumers",
-            "Organic cotton baby clothes for sensitive skin",
-            "Natural organic skincare range for sensitive skin",
-            "Tech gadgets for smart homes: 2024 edition",
-            "Sustainable gardening tools and compost solutions",
-            "Sensitive skin-friendly facial cleansers and toners",
-            "Organic food wraps and storage solutions",
-            "Yoga mats made from recycled materials",
-        ],
-        top_n=3,
-        score_threshold=0.75,
-        user="abc-123",
-    )
-
-    assert isinstance(response, RerankResult)
-    assert len(response.docs) == 3
-
-
-def test__invoke():
-    model = LocalaiRerankModel()
-
-    # Test case 1: Empty docs
-    result = model._invoke(
-        model="bge-reranker-base",
-        credentials={"server_url": "https://example.com", "api_key": "1234567890"},
-        query="Organic skincare products for sensitive skin",
-        docs=[],
-        top_n=3,
-        score_threshold=0.75,
-        user="abc-123",
-    )
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 0
-
-    # Test case 2: Valid invocation
-    result = model._invoke(
-        model="bge-reranker-base",
-        credentials={"server_url": "https://example.com", "api_key": "1234567890"},
-        query="Organic skincare products for sensitive skin",
-        docs=[
-            "Eco-friendly kitchenware for modern homes",
-            "Biodegradable cleaning supplies for eco-conscious consumers",
-            "Organic cotton baby clothes for sensitive skin",
-            "Natural organic skincare range for sensitive skin",
-            "Tech gadgets for smart homes: 2024 edition",
-            "Sustainable gardening tools and compost solutions",
-            "Sensitive skin-friendly facial cleansers and toners",
-            "Organic food wraps and storage solutions",
-            "Yoga mats made from recycled materials",
-        ],
-        top_n=3,
-        score_threshold=0.75,
-        user="abc-123",
-    )
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 3
-    assert all(isinstance(doc, RerankDocument) for doc in result.docs)
diff --git a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py b/api/tests/integration_tests/model_runtime/localai/test_speech2text.py
deleted file mode 100644
index 91b7a5752c..0000000000
--- a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.localai.speech2text.speech2text import LocalAISpeech2text
-
-
-def test_validate_credentials():
-    model = LocalAISpeech2text()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="whisper-1", credentials={"server_url": "invalid_url"})
-
-    model.validate_credentials(model="whisper-1", credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")})
-
-
-def test_invoke_model():
-    model = LocalAISpeech2text()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    # Open the file and get the file object
-    with open(audio_file_path, "rb") as audio_file:
-        file = audio_file
-
-        result = model.invoke(
-            model="whisper-1",
-            credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")},
-            file=file,
-            user="abc-123",
-        )
-
-        assert isinstance(result, str)
-        assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
diff --git a/api/tests/integration_tests/model_runtime/minimax/__init__.py b/api/tests/integration_tests/model_runtime/minimax/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py b/api/tests/integration_tests/model_runtime/minimax/test_embedding.py
deleted file mode 100644
index cf2a28eb9e..0000000000
--- a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.minimax.text_embedding.text_embedding import MinimaxTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = MinimaxTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="embo-01",
-            credentials={"minimax_api_key": "invalid_key", "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID")},
-        )
-
-    model.validate_credentials(
-        model="embo-01",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = MinimaxTextEmbeddingModel()
-
-    result = model.invoke(
-        model="embo-01",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 16
-
-
-def test_get_num_tokens():
-    model = MinimaxTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="embo-01",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/minimax/test_llm.py b/api/tests/integration_tests/model_runtime/minimax/test_llm.py
deleted file mode 100644
index aacde04d32..0000000000
--- a/api/tests/integration_tests/model_runtime/minimax/test_llm.py
+++ /dev/null
@@ -1,143 +0,0 @@
-import os
-from collections.abc import Generator
-from time import sleep
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.minimax.llm.llm import MinimaxLargeLanguageModel
-
-
-def test_predefined_models():
-    model = MinimaxLargeLanguageModel()
-    model_schemas = model.predefined_models()
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-def test_validate_credentials_for_chat_model():
-    sleep(3)
-    model = MinimaxLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="abab5.5-chat", credentials={"minimax_api_key": "invalid_key", "minimax_group_id": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="abab5.5-chat",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-    )
-
-
-def test_invoke_model():
-    sleep(3)
-    model = MinimaxLargeLanguageModel()
-
-    response = model.invoke(
-        model="abab5-chat",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_model():
-    sleep(3)
-    model = MinimaxLargeLanguageModel()
-
-    response = model.invoke(
-        model="abab5.5-chat",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_with_search():
-    sleep(3)
-    model = MinimaxLargeLanguageModel()
-
-    response = model.invoke(
-        model="abab5.5-chat",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-            "plugin_web_search": True,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    total_message = ""
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        total_message += chunk.delta.message.content
-        assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
-
-    assert "参考资料" in total_message
-
-
-def test_get_num_tokens():
-    sleep(3)
-    model = MinimaxLargeLanguageModel()
-
-    response = model.get_num_tokens(
-        model="abab5.5-chat",
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        tools=[],
-    )
-
-    assert isinstance(response, int)
-    assert response == 30
diff --git a/api/tests/integration_tests/model_runtime/minimax/test_provider.py b/api/tests/integration_tests/model_runtime/minimax/test_provider.py
deleted file mode 100644
index 575ed13eef..0000000000
--- a/api/tests/integration_tests/model_runtime/minimax/test_provider.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.minimax.minimax import MinimaxProvider
-
-
-def test_validate_provider_credentials():
-    provider = MinimaxProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(
-            credentials={
-                "minimax_api_key": "hahahaha",
-                "minimax_group_id": "123",
-            }
-        )
-
-    provider.validate_provider_credentials(
-        credentials={
-            "minimax_api_key": os.environ.get("MINIMAX_API_KEY"),
-            "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/mixedbread/__init__.py b/api/tests/integration_tests/model_runtime/mixedbread/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py b/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py
deleted file mode 100644
index 25c9f3ce8d..0000000000
--- a/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.mixedbread.mixedbread import MixedBreadProvider
-
-
-def test_validate_provider_credentials():
-    provider = MixedBreadProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "hahahaha"})
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "usage": {"prompt_tokens": 3, "total_tokens": 3},
-            "model": "mixedbread-ai/mxbai-embed-large-v1",
-            "data": [{"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"}],
-            "object": "list",
-            "normalized": "true",
-            "encoding_format": "float",
-            "dimensions": 1024,
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        provider.validate_provider_credentials(credentials={"api_key": os.environ.get("MIXEDBREAD_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py b/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py
deleted file mode 100644
index b65aab74aa..0000000000
--- a/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.mixedbread.rerank.rerank import MixedBreadRerankModel
-
-
-def test_validate_credentials():
-    model = MixedBreadRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mxbai-rerank-large-v1",
-            credentials={"api_key": "invalid_key"},
-        )
-    with patch("httpx.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "usage": {"prompt_tokens": 86, "total_tokens": 86},
-            "model": "mixedbread-ai/mxbai-rerank-large-v1",
-            "data": [
-                {
-                    "index": 0,
-                    "score": 0.06762695,
-                    "input": "Carson City is the capital city of the American state of Nevada. At the 2010 United "
-                    "States Census, Carson City had a population of 55,274.",
-                    "object": "text_document",
-                },
-                {
-                    "index": 1,
-                    "score": 0.057403564,
-                    "input": "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific "
-                    "Ocean that are a political division controlled by the United States. Its capital is "
-                    "Saipan.",
-                    "object": "text_document",
-                },
-            ],
-            "object": "list",
-            "top_k": 2,
-            "return_input": True,
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        model.validate_credentials(
-            model="mxbai-rerank-large-v1",
-            credentials={
-                "api_key": os.environ.get("MIXEDBREAD_API_KEY"),
-            },
-        )
-
-
-def test_invoke_model():
-    model = MixedBreadRerankModel()
-    with patch("httpx.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "usage": {"prompt_tokens": 56, "total_tokens": 56},
-            "model": "mixedbread-ai/mxbai-rerank-large-v1",
-            "data": [
-                {
-                    "index": 0,
-                    "score": 0.6044922,
-                    "input": "Kasumi is a girl name of Japanese origin meaning mist.",
-                    "object": "text_document",
-                },
-                {
-                    "index": 1,
-                    "score": 0.0703125,
-                    "input": "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a "
-                    "team named PopiParty.",
-                    "object": "text_document",
-                },
-            ],
-            "object": "list",
-            "top_k": 2,
-            "return_input": "true",
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        result = model.invoke(
-            model="mxbai-rerank-large-v1",
-            credentials={
-                "api_key": os.environ.get("MIXEDBREAD_API_KEY"),
-            },
-            query="Who is Kasumi?",
-            docs=[
-                "Kasumi is a girl name of Japanese origin meaning mist.",
-                "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a team named "
-                "PopiParty.",
-            ],
-            score_threshold=0.5,
-        )
-
-        assert isinstance(result, RerankResult)
-        assert len(result.docs) == 1
-        assert result.docs[0].index == 0
-        assert result.docs[0].score >= 0.5
diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py b/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py
deleted file mode 100644
index ca97a18951..0000000000
--- a/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.mixedbread.text_embedding.text_embedding import MixedBreadTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = MixedBreadTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="mxbai-embed-large-v1", credentials={"api_key": "invalid_key"})
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "usage": {"prompt_tokens": 3, "total_tokens": 3},
-            "model": "mixedbread-ai/mxbai-embed-large-v1",
-            "data": [{"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"}],
-            "object": "list",
-            "normalized": "true",
-            "encoding_format": "float",
-            "dimensions": 1024,
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        model.validate_credentials(
-            model="mxbai-embed-large-v1", credentials={"api_key": os.environ.get("MIXEDBREAD_API_KEY")}
-        )
-
-
-def test_invoke_model():
-    model = MixedBreadTextEmbeddingModel()
-
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "usage": {"prompt_tokens": 6, "total_tokens": 6},
-            "model": "mixedbread-ai/mxbai-embed-large-v1",
-            "data": [
-                {"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"},
-                {"embedding": [0.23333 for _ in range(1024)], "index": 1, "object": "embedding"},
-            ],
-            "object": "list",
-            "normalized": "true",
-            "encoding_format": "float",
-            "dimensions": 1024,
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        result = model.invoke(
-            model="mxbai-embed-large-v1",
-            credentials={
-                "api_key": os.environ.get("MIXEDBREAD_API_KEY"),
-            },
-            texts=["hello", "world"],
-            user="abc-123",
-        )
-
-        assert isinstance(result, TextEmbeddingResult)
-        assert len(result.embeddings) == 2
-        assert result.usage.total_tokens == 6
-
-
-def test_get_num_tokens():
-    model = MixedBreadTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mxbai-embed-large-v1",
-        credentials={
-            "api_key": os.environ.get("MIXEDBREAD_API_KEY"),
-        },
-        texts=["ping"],
-    )
-
-    assert num_tokens == 1
diff --git a/api/tests/integration_tests/model_runtime/nomic/__init__.py b/api/tests/integration_tests/model_runtime/nomic/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py b/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py
deleted file mode 100644
index 52dc96ee95..0000000000
--- a/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.nomic.text_embedding.text_embedding import NomicTextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock
-
-
-@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
-def test_validate_credentials(setup_nomic_mock):
-    model = NomicTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="nomic-embed-text-v1.5",
-            credentials={
-                "nomic_api_key": "invalid_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="nomic-embed-text-v1.5",
-        credentials={
-            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
-def test_invoke_model(setup_nomic_mock):
-    model = NomicTextEmbeddingModel()
-
-    result = model.invoke(
-        model="nomic-embed-text-v1.5",
-        credentials={
-            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
-        },
-        texts=["hello", "world"],
-        user="foo",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert result.model == "nomic-embed-text-v1.5"
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
-def test_get_num_tokens(setup_nomic_mock):
-    model = NomicTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="nomic-embed-text-v1.5",
-        credentials={
-            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/nomic/test_provider.py b/api/tests/integration_tests/model_runtime/nomic/test_provider.py
deleted file mode 100644
index ece4bb9200..0000000000
--- a/api/tests/integration_tests/model_runtime/nomic/test_provider.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.nomic.nomic import NomicAtlasProvider
-from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock
-
-
-@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
-def test_validate_provider_credentials(setup_nomic_mock):
-    provider = NomicAtlasProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
-        },
-    )
diff --git a/api/tests/integration_tests/model_runtime/novita/__init__.py b/api/tests/integration_tests/model_runtime/novita/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/novita/test_llm.py b/api/tests/integration_tests/model_runtime/novita/test_llm.py
deleted file mode 100644
index 9f92679cd5..0000000000
--- a/api/tests/integration_tests/model_runtime/novita/test_llm.py
+++ /dev/null
@@ -1,98 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.novita.llm.llm import NovitaLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = NovitaLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="meta-llama/llama-3-8b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"}
-        )
-
-    model.validate_credentials(
-        model="meta-llama/llama-3-8b-instruct",
-        credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"},
-    )
-
-
-def test_invoke_model():
-    model = NovitaLargeLanguageModel()
-
-    response = model.invoke(
-        model="meta-llama/llama-3-8b-instruct",
-        credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "completion"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_p": 0.5,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="novita",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = NovitaLargeLanguageModel()
-
-    response = model.invoke(
-        model="meta-llama/llama-3-8b-instruct",
-        credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "max_tokens": 100},
-        stream=True,
-        user="novita",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_get_num_tokens():
-    model = NovitaLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="meta-llama/llama-3-8b-instruct",
-        credentials={
-            "api_key": os.environ.get("NOVITA_API_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/novita/test_provider.py b/api/tests/integration_tests/model_runtime/novita/test_provider.py
deleted file mode 100644
index 191af99db2..0000000000
--- a/api/tests/integration_tests/model_runtime/novita/test_provider.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.novita.novita import NovitaProvider
-
-
-def test_validate_provider_credentials():
-    provider = NovitaProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "api_key": os.environ.get("NOVITA_API_KEY"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/oci/__init__.py b/api/tests/integration_tests/model_runtime/oci/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/oci/test_llm.py b/api/tests/integration_tests/model_runtime/oci/test_llm.py
deleted file mode 100644
index bd5d27eb0f..0000000000
--- a/api/tests/integration_tests/model_runtime/oci/test_llm.py
+++ /dev/null
@@ -1,129 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.oci.llm.llm import OCILargeLanguageModel
-
-
-def test_validate_credentials():
-    model = OCILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="cohere.command-r-plus",
-            credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="cohere.command-r-plus",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = OCILargeLanguageModel()
-
-    response = model.invoke(
-        model="cohere.command-r-plus",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hi")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = OCILargeLanguageModel()
-
-    response = model.invoke(
-        model="meta.llama-3-70b-instruct",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hi")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_model_with_function():
-    model = OCILargeLanguageModel()
-
-    response = model.invoke(
-        model="cohere.command-r-plus",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hi")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=False,
-        user="abc-123",
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_get_num_tokens():
-    model = OCILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="cohere.command-r-plus",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 18
diff --git a/api/tests/integration_tests/model_runtime/oci/test_provider.py b/api/tests/integration_tests/model_runtime/oci/test_provider.py
deleted file mode 100644
index 2c7107c7cc..0000000000
--- a/api/tests/integration_tests/model_runtime/oci/test_provider.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.oci.oci import OCIGENAIProvider
-
-
-def test_validate_provider_credentials():
-    provider = OCIGENAIProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py b/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py
deleted file mode 100644
index 032c5c681a..0000000000
--- a/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.oci.text_embedding.text_embedding import OCITextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = OCITextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="cohere.embed-multilingual-v3.0",
-            credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="cohere.embed-multilingual-v3.0",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = OCITextEmbeddingModel()
-
-    result = model.invoke(
-        model="cohere.embed-multilingual-v3.0",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    # assert result.usage.total_tokens == 811
-
-
-def test_get_num_tokens():
-    model = OCITextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="cohere.embed-multilingual-v3.0",
-        credentials={
-            "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"),
-            "oci_key_content": os.environ.get("OCI_KEY_CONTENT"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/ollama/__init__.py b/api/tests/integration_tests/model_runtime/ollama/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/ollama/test_llm.py b/api/tests/integration_tests/model_runtime/ollama/test_llm.py
deleted file mode 100644
index 979751afce..0000000000
--- a/api/tests/integration_tests/model_runtime/ollama/test_llm.py
+++ /dev/null
@@ -1,226 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.ollama.llm.llm import OllamaLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = OllamaLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mistral:text",
-            credentials={
-                "base_url": "http://localhost:21434",
-                "mode": "chat",
-                "context_size": 2048,
-                "max_tokens": 2048,
-            },
-        )
-
-    model.validate_credentials(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-    )
-
-
-def test_invoke_model():
-    model = OllamaLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10},
-        stop=["How"],
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = OllamaLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10},
-        stop=["How"],
-        stream=True,
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_invoke_completion_model():
-    model = OllamaLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "completion",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10},
-        stop=["How"],
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_completion_model():
-    model = OllamaLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "completion",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10},
-        stop=["How"],
-        stream=True,
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_invoke_completion_model_with_vision():
-    model = OllamaLargeLanguageModel()
-
-    result = model.invoke(
-        model="llava",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "completion",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(
-                        data="What is this in this picture?",
-                    ),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            )
-        ],
-        model_parameters={"temperature": 0.1, "num_predict": 100},
-        stream=False,
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-def test_invoke_chat_model_with_vision():
-    model = OllamaLargeLanguageModel()
-
-    result = model.invoke(
-        model="llava",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(
-                        data="What is this in this picture?",
-                    ),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        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",
-                    ),
-                ]
-            )
-        ],
-        model_parameters={"temperature": 0.1, "num_predict": 100},
-        stream=False,
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-def test_get_num_tokens():
-    model = OllamaLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 2048,
-            "max_tokens": 2048,
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 6
diff --git a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py b/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py
deleted file mode 100644
index 3c4f740a4f..0000000000
--- a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.ollama.text_embedding.text_embedding import OllamaEmbeddingModel
-
-
-def test_validate_credentials():
-    model = OllamaEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mistral:text",
-            credentials={
-                "base_url": "http://localhost:21434",
-                "mode": "chat",
-                "context_size": 4096,
-            },
-        )
-
-    model.validate_credentials(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 4096,
-        },
-    )
-
-
-def test_invoke_model():
-    model = OllamaEmbeddingModel()
-
-    result = model.invoke(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 4096,
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = OllamaEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mistral:text",
-        credentials={
-            "base_url": os.environ.get("OLLAMA_BASE_URL"),
-            "mode": "chat",
-            "context_size": 4096,
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/openai/__init__.py b/api/tests/integration_tests/model_runtime/openai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/openai/test_llm.py b/api/tests/integration_tests/model_runtime/openai/test_llm.py
deleted file mode 100644
index 9e83b9d434..0000000000
--- a/api/tests/integration_tests/model_runtime/openai/test_llm.py
+++ /dev/null
@@ -1,314 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    ImagePromptMessageContent,
-    PromptMessageTool,
-    SystemPromptMessage,
-    TextPromptMessageContent,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel
-
-"""FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def test_predefined_models():
-    model = OpenAILargeLanguageModel()
-    model_schemas = model.predefined_models()
-
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": "invalid_key"})
-
-    model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_validate_credentials_for_completion_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="text-davinci-003", credentials={"openai_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="text-davinci-003", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_invoke_completion_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo-instruct",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 1},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-    assert model._num_tokens_from_string("gpt-3.5-turbo-instruct", result.message.content) == 1
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_invoke_stream_completion_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo-instruct",
-        credentials={
-            "openai_api_key": os.environ.get("OPENAI_API_KEY"),
-            "openai_organization": os.environ.get("OPENAI_ORGANIZATION"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_vision(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-4-vision-preview",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content=[
-                    TextPromptMessageContent(
-                        data="Hello World!",
-                    ),
-                    ImagePromptMessageContent(
-                        mime_type="image/png",
-                        format="png",
-                        base64_data="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",
-                    ),
-                ]
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_tools(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = OpenAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="gpt-3.5-turbo-instruct",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 3
-
-    num_tokens = model.get_num_tokens(
-        model="gpt-3.5-turbo",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-    )
-
-    assert num_tokens == 72
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat", "remote"]], indirect=True)
-def test_fine_tuned_models(setup_openai_mock):
-    model = OpenAILargeLanguageModel()
-
-    remote_models = model.remote_models(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
-
-    if not remote_models:
-        assert isinstance(remote_models, list)
-    else:
-        assert isinstance(remote_models[0], AIModelEntity)
-
-    for llm_model in remote_models:
-        if llm_model.model_type == ModelType.LLM:
-            break
-
-    assert isinstance(llm_model, AIModelEntity)
-
-    # test invoke
-    result = model.invoke(
-        model=llm_model.model,
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-
-
-def test__get_num_tokens_by_gpt2():
-    model = OpenAILargeLanguageModel()
-    num_tokens = model._get_num_tokens_by_gpt2("Hello World!")
-
-    assert num_tokens == 3
diff --git a/api/tests/integration_tests/model_runtime/openai/test_moderation.py b/api/tests/integration_tests/model_runtime/openai/test_moderation.py
deleted file mode 100644
index 6de2624717..0000000000
--- a/api/tests/integration_tests/model_runtime/openai/test_moderation.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai.moderation.moderation import OpenAIModerationModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = OpenAIModerationModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="text-moderation-stable", credentials={"openai_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="text-moderation-stable", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = OpenAIModerationModel()
-
-    result = model.invoke(
-        model="text-moderation-stable",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        text="hello",
-        user="abc-123",
-    )
-
-    assert isinstance(result, bool)
-    assert result is False
-
-    result = model.invoke(
-        model="text-moderation-stable",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-        text="i will kill you",
-        user="abc-123",
-    )
-
-    assert isinstance(result, bool)
-    assert result is True
diff --git a/api/tests/integration_tests/model_runtime/openai/test_provider.py b/api/tests/integration_tests/model_runtime/openai/test_provider.py
deleted file mode 100644
index 4d56cfcf3c..0000000000
--- a/api/tests/integration_tests/model_runtime/openai/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai.openai import OpenAIProvider
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_provider_credentials(setup_openai_mock):
-    provider = OpenAIProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai/test_speech2text.py
deleted file mode 100644
index aa92c8b61f..0000000000
--- a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai.speech2text.speech2text import OpenAISpeech2TextModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = OpenAISpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="whisper-1", credentials={"openai_api_key": "invalid_key"})
-
-    model.validate_credentials(model="whisper-1", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = OpenAISpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    # Open the file and get the file object
-    with open(audio_file_path, "rb") as audio_file:
-        file = audio_file
-
-        result = model.invoke(
-            model="whisper-1",
-            credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
-            file=file,
-            user="abc-123",
-        )
-
-        assert isinstance(result, str)
-        assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
diff --git a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py
deleted file mode 100644
index f5dd73f2d4..0000000000
--- a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai.text_embedding.text_embedding import OpenAITextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = OpenAITextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="text-embedding-ada-002", credentials={"openai_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="text-embedding-ada-002", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = OpenAITextEmbeddingModel()
-
-    result = model.invoke(
-        model="text-embedding-ada-002",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"},
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = OpenAITextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="text-embedding-ada-002",
-        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"},
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/__init__.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py
deleted file mode 100644
index f2302ef05e..0000000000
--- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py
+++ /dev/null
@@ -1,197 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
-
-"""
-Using Together.ai's OpenAI-compatible API as testing endpoint
-"""
-
-
-def test_validate_credentials():
-    model = OAIAPICompatLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-            credentials={"api_key": "invalid_key", "endpoint_url": "https://api.together.xyz/v1/", "mode": "chat"},
-        )
-
-    model.validate_credentials(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-            "endpoint_url": "https://api.together.xyz/v1/",
-            "mode": "chat",
-        },
-    )
-
-
-def test_invoke_model():
-    model = OAIAPICompatLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-            "endpoint_url": "https://api.together.xyz/v1/",
-            "mode": "completion",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = OAIAPICompatLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-            "endpoint_url": "https://api.together.xyz/v1/",
-            "mode": "chat",
-            "stream_mode_delimiter": "\\n\\n",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_invoke_stream_model_without_delimiter():
-    model = OAIAPICompatLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-            "endpoint_url": "https://api.together.xyz/v1/",
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-# using OpenAI's ChatGPT-3.5 as testing endpoint
-def test_invoke_chat_model_with_tools():
-    model = OAIAPICompatLargeLanguageModel()
-
-    result = model.invoke(
-        model="gpt-3.5-turbo",
-        credentials={
-            "api_key": os.environ.get("OPENAI_API_KEY"),
-            "endpoint_url": "https://api.openai.com/v1/",
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 1024},
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
-
-
-def test_get_num_tokens():
-    model = OAIAPICompatLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py
deleted file mode 100644
index cf805eafff..0000000000
--- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import (
-    OAICompatSpeech2TextModel,
-)
-
-
-def test_validate_credentials():
-    model = OAICompatSpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="whisper-1",
-            credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/"},
-        )
-
-    model.validate_credentials(
-        model="whisper-1",
-        credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"},
-    )
-
-
-def test_invoke_model():
-    model = OAICompatSpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    # Open the file and get the file object
-    with open(audio_file_path, "rb") as audio_file:
-        file = audio_file
-
-        result = model.invoke(
-            model="whisper-1",
-            credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"},
-            file=file,
-            user="abc-123",
-        )
-
-        assert isinstance(result, str)
-        assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"
diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py
deleted file mode 100644
index 052b41605f..0000000000
--- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import (
-    OAICompatEmbeddingModel,
-)
-
-"""
-Using OpenAI's API as testing endpoint
-"""
-
-
-def test_validate_credentials():
-    model = OAICompatEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="text-embedding-ada-002",
-            credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/", "context_size": 8184},
-        )
-
-    model.validate_credentials(
-        model="text-embedding-ada-002",
-        credentials={
-            "api_key": os.environ.get("OPENAI_API_KEY"),
-            "endpoint_url": "https://api.openai.com/v1/",
-            "context_size": 8184,
-        },
-    )
-
-
-def test_invoke_model():
-    model = OAICompatEmbeddingModel()
-
-    result = model.invoke(
-        model="text-embedding-ada-002",
-        credentials={
-            "api_key": os.environ.get("OPENAI_API_KEY"),
-            "endpoint_url": "https://api.openai.com/v1/",
-            "context_size": 8184,
-        },
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    assert result.usage.total_tokens == 502
-
-
-def test_get_num_tokens():
-    model = OAICompatEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="text-embedding-ada-002",
-        credentials={
-            "api_key": os.environ.get("OPENAI_API_KEY"),
-            "endpoint_url": "https://api.openai.com/v1/embeddings",
-            "context_size": 8184,
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/openllm/__init__.py b/api/tests/integration_tests/model_runtime/openllm/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py b/api/tests/integration_tests/model_runtime/openllm/test_embedding.py
deleted file mode 100644
index 14d47217af..0000000000
--- a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = OpenLLMTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="NOT IMPORTANT",
-            credentials={
-                "server_url": "ww" + os.environ.get("OPENLLM_SERVER_URL"),
-            },
-        )
-
-    model.validate_credentials(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = OpenLLMTextEmbeddingModel()
-
-    result = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens > 0
-
-
-def test_get_num_tokens():
-    model = OpenLLMTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/openllm/test_llm.py b/api/tests/integration_tests/model_runtime/openllm/test_llm.py
deleted file mode 100644
index 35939e3cfe..0000000000
--- a/api/tests/integration_tests/model_runtime/openllm/test_llm.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openllm.llm.llm import OpenLLMLargeLanguageModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = OpenLLMLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="NOT IMPORTANT",
-            credentials={
-                "server_url": "invalid_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = OpenLLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_model():
-    model = OpenLLMLargeLanguageModel()
-
-    response = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = OpenLLMLargeLanguageModel()
-
-    response = model.get_num_tokens(
-        model="NOT IMPORTANT",
-        credentials={
-            "server_url": os.environ.get("OPENLLM_SERVER_URL"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        tools=[],
-    )
-
-    assert isinstance(response, int)
-    assert response == 3
diff --git a/api/tests/integration_tests/model_runtime/openrouter/__init__.py b/api/tests/integration_tests/model_runtime/openrouter/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py b/api/tests/integration_tests/model_runtime/openrouter/test_llm.py
deleted file mode 100644
index 1b0cc6bf4b..0000000000
--- a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.openrouter.llm.llm import OpenRouterLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = OpenRouterLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mistralai/mixtral-8x7b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"}
-        )
-
-    model.validate_credentials(
-        model="mistralai/mixtral-8x7b-instruct",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
-    )
-
-
-def test_invoke_model():
-    model = OpenRouterLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/mixtral-8x7b-instruct",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = OpenRouterLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/mixtral-8x7b-instruct",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_get_num_tokens():
-    model = OpenRouterLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mistralai/mixtral-8x7b-instruct",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/replicate/__init__.py b/api/tests/integration_tests/model_runtime/replicate/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/replicate/test_llm.py b/api/tests/integration_tests/model_runtime/replicate/test_llm.py
deleted file mode 100644
index b940005b71..0000000000
--- a/api/tests/integration_tests/model_runtime/replicate/test_llm.py
+++ /dev/null
@@ -1,112 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.replicate.llm.llm import ReplicateLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = ReplicateLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="meta/llama-2-13b-chat",
-            credentials={
-                "replicate_api_token": "invalid_key",
-                "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d",
-            },
-        )
-
-    model.validate_credentials(
-        model="meta/llama-2-13b-chat",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d",
-        },
-    )
-
-
-def test_invoke_model():
-    model = ReplicateLargeLanguageModel()
-
-    response = model.invoke(
-        model="meta/llama-2-13b-chat",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = ReplicateLargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/mixtral-8x7b-instruct-v0.1",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_get_num_tokens():
-    model = ReplicateLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 14
diff --git a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py b/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py
deleted file mode 100644
index 397715f225..0000000000
--- a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py
+++ /dev/null
@@ -1,136 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.replicate.text_embedding.text_embedding import ReplicateEmbeddingModel
-
-
-def test_validate_credentials_one():
-    model = ReplicateEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="replicate/all-mpnet-base-v2",
-            credentials={
-                "replicate_api_token": "invalid_key",
-                "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305",
-            },
-        )
-
-    model.validate_credentials(
-        model="replicate/all-mpnet-base-v2",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305",
-        },
-    )
-
-
-def test_validate_credentials_two():
-    model = ReplicateEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="nateraw/bge-large-en-v1.5",
-            credentials={
-                "replicate_api_token": "invalid_key",
-                "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1",
-            },
-        )
-
-    model.validate_credentials(
-        model="nateraw/bge-large-en-v1.5",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1",
-        },
-    )
-
-
-def test_invoke_model_one():
-    model = ReplicateEmbeddingModel()
-
-    result = model.invoke(
-        model="nateraw/bge-large-en-v1.5",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_invoke_model_two():
-    model = ReplicateEmbeddingModel()
-
-    result = model.invoke(
-        model="andreasjansson/clip-features",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "75b33f253f7714a281ad3e9b28f63e3232d583716ef6718f2e46641077ea040a",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_invoke_model_three():
-    model = ReplicateEmbeddingModel()
-
-    result = model.invoke(
-        model="replicate/all-mpnet-base-v2",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_invoke_model_four():
-    model = ReplicateEmbeddingModel()
-
-    result = model.invoke(
-        model="nateraw/jina-embeddings-v2-base-en",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = ReplicateEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="nateraw/jina-embeddings-v2-base-en",
-        credentials={
-            "replicate_api_token": os.environ.get("REPLICATE_API_KEY"),
-            "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e",
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/sagemaker/__init__.py b/api/tests/integration_tests/model_runtime/sagemaker/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py b/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py
deleted file mode 100644
index 41de2a17fd..0000000000
--- a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.sagemaker.sagemaker import SageMakerProvider
-
-
-def test_validate_provider_credentials():
-    provider = SageMakerProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={})
diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py b/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py
deleted file mode 100644
index d5a6798a1e..0000000000
--- a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.sagemaker.rerank.rerank import SageMakerRerankModel
-
-
-def test_validate_credentials():
-    model = SageMakerRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-m3-rerank-v2",
-            credentials={
-                "aws_region": os.getenv("AWS_REGION"),
-                "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-                "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-            },
-            query="What is the capital of the United States?",
-            docs=[
-                "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                "Census, Carson City had a population of 55,274.",
-                "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                "are a political division controlled by the United States. Its capital is Saipan.",
-            ],
-            score_threshold=0.8,
-        )
-
-
-def test_invoke_model():
-    model = SageMakerRerankModel()
-
-    result = model.invoke(
-        model="bge-m3-rerank-v2",
-        credentials={
-            "aws_region": os.getenv("AWS_REGION"),
-            "aws_access_key": os.getenv("AWS_ACCESS_KEY"),
-            "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"),
-        },
-        query="What is the capital of the United States?",
-        docs=[
-            "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-            "Census, Carson City had a population of 55,274.",
-            "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-            "are a political division controlled by the United States. Its capital is Saipan.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 1
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py b/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py
deleted file mode 100644
index f77601eea2..0000000000
--- a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.sagemaker.text_embedding.text_embedding import SageMakerEmbeddingModel
-
-
-def test_validate_credentials():
-    model = SageMakerEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="bge-m3", credentials={})
-
-    model.validate_credentials(model="bge-m3-embedding", credentials={})
-
-
-def test_invoke_model():
-    model = SageMakerEmbeddingModel()
-
-    result = model.invoke(model="bge-m3-embedding", credentials={}, texts=["hello", "world"], user="abc-123")
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-
-
-def test_get_num_tokens():
-    model = SageMakerEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(model="bge-m3-embedding", credentials={}, texts=[])
-
-    assert num_tokens == 0
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/__init__.py b/api/tests/integration_tests/model_runtime/siliconflow/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py b/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py
deleted file mode 100644
index f47c9c5588..0000000000
--- a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = SiliconflowLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": os.environ.get("API_KEY")})
-
-
-def test_invoke_model():
-    model = SiliconflowLargeLanguageModel()
-
-    response = model.invoke(
-        model="deepseek-ai/DeepSeek-V2-Chat",
-        credentials={"api_key": os.environ.get("API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = SiliconflowLargeLanguageModel()
-
-    response = model.invoke(
-        model="deepseek-ai/DeepSeek-V2-Chat",
-        credentials={"api_key": os.environ.get("API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = SiliconflowLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="deepseek-ai/DeepSeek-V2-Chat",
-        credentials={"api_key": os.environ.get("API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 12
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py b/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py
deleted file mode 100644
index 8f70210b7a..0000000000
--- a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider
-
-
-def test_validate_provider_credentials():
-    provider = SiliconflowProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py b/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py
deleted file mode 100644
index ad794613f9..0000000000
--- a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.siliconflow.rerank.rerank import SiliconflowRerankModel
-
-
-def test_validate_credentials():
-    model = SiliconflowRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="BAAI/bge-reranker-v2-m3",
-            credentials={"api_key": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="BAAI/bge-reranker-v2-m3",
-        credentials={
-            "api_key": os.environ.get("API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = SiliconflowRerankModel()
-
-    result = model.invoke(
-        model="BAAI/bge-reranker-v2-m3",
-        credentials={
-            "api_key": os.environ.get("API_KEY"),
-        },
-        query="Who is Kasumi?",
-        docs=[
-            'Kasumi is a girl\'s name of Japanese origin meaning "mist".',
-            "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",
-            "and she leads a team named PopiParty.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 0
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py b/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py
deleted file mode 100644
index 0502ba5ab4..0000000000
--- a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.siliconflow.speech2text.speech2text import SiliconflowSpeech2TextModel
-
-
-def test_validate_credentials():
-    model = SiliconflowSpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="iic/SenseVoiceSmall",
-            credentials={"api_key": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="iic/SenseVoiceSmall",
-        credentials={"api_key": os.environ.get("API_KEY")},
-    )
-
-
-def test_invoke_model():
-    model = SiliconflowSpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    # Open the file and get the file object
-    with open(audio_file_path, "rb") as audio_file:
-        file = audio_file
-
-        result = model.invoke(
-            model="iic/SenseVoiceSmall", credentials={"api_key": os.environ.get("API_KEY")}, file=file
-        )
-
-        assert isinstance(result, str)
-        assert result == "1,2,3,4,5,6,7,8,9,10."
diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py b/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py
deleted file mode 100644
index ab143c1061..0000000000
--- a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.siliconflow.text_embedding.text_embedding import (
-    SiliconflowTextEmbeddingModel,
-)
-
-
-def test_validate_credentials():
-    model = SiliconflowTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="BAAI/bge-large-zh-v1.5",
-            credentials={"api_key": "invalid_key"},
-        )
-
-    model.validate_credentials(
-        model="BAAI/bge-large-zh-v1.5",
-        credentials={
-            "api_key": os.environ.get("API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = SiliconflowTextEmbeddingModel()
-
-    result = model.invoke(
-        model="BAAI/bge-large-zh-v1.5",
-        credentials={
-            "api_key": os.environ.get("API_KEY"),
-        },
-        texts=[
-            "hello",
-            "world",
-        ],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens == 6
-
-
-def test_get_num_tokens():
-    model = SiliconflowTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="BAAI/bge-large-zh-v1.5",
-        credentials={
-            "api_key": os.environ.get("API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/spark/__init__.py b/api/tests/integration_tests/model_runtime/spark/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/spark/test_llm.py b/api/tests/integration_tests/model_runtime/spark/test_llm.py
deleted file mode 100644
index 4fe2fd8c0a..0000000000
--- a/api/tests/integration_tests/model_runtime/spark/test_llm.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.spark.llm.llm import SparkLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = SparkLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="spark-1.5", credentials={"app_id": "invalid_key"})
-
-    model.validate_credentials(
-        model="spark-1.5",
-        credentials={
-            "app_id": os.environ.get("SPARK_APP_ID"),
-            "api_secret": os.environ.get("SPARK_API_SECRET"),
-            "api_key": os.environ.get("SPARK_API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = SparkLargeLanguageModel()
-
-    response = model.invoke(
-        model="spark-1.5",
-        credentials={
-            "app_id": os.environ.get("SPARK_APP_ID"),
-            "api_secret": os.environ.get("SPARK_API_SECRET"),
-            "api_key": os.environ.get("SPARK_API_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = SparkLargeLanguageModel()
-
-    response = model.invoke(
-        model="spark-1.5",
-        credentials={
-            "app_id": os.environ.get("SPARK_APP_ID"),
-            "api_secret": os.environ.get("SPARK_API_SECRET"),
-            "api_key": os.environ.get("SPARK_API_KEY"),
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = SparkLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="spark-1.5",
-        credentials={
-            "app_id": os.environ.get("SPARK_APP_ID"),
-            "api_secret": os.environ.get("SPARK_API_SECRET"),
-            "api_key": os.environ.get("SPARK_API_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 14
diff --git a/api/tests/integration_tests/model_runtime/spark/test_provider.py b/api/tests/integration_tests/model_runtime/spark/test_provider.py
deleted file mode 100644
index 9da0df6bb3..0000000000
--- a/api/tests/integration_tests/model_runtime/spark/test_provider.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.spark.spark import SparkProvider
-
-
-def test_validate_provider_credentials():
-    provider = SparkProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={
-            "app_id": os.environ.get("SPARK_APP_ID"),
-            "api_secret": os.environ.get("SPARK_API_SECRET"),
-            "api_key": os.environ.get("SPARK_API_KEY"),
-        }
-    )
diff --git a/api/tests/integration_tests/model_runtime/stepfun/__init__.py b/api/tests/integration_tests/model_runtime/stepfun/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py b/api/tests/integration_tests/model_runtime/stepfun/test_llm.py
deleted file mode 100644
index f9afca6f59..0000000000
--- a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.stepfun.llm.llm import StepfunLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = StepfunLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="step-1-8k", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")})
-
-
-def test_invoke_model():
-    model = StepfunLargeLanguageModel()
-
-    response = model.invoke(
-        model="step-1-8k",
-        credentials={"api_key": os.environ.get("STEPFUN_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.9, "top_p": 0.7},
-        stop=["Hi"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = StepfunLargeLanguageModel()
-
-    response = model.invoke(
-        model="step-1-8k",
-        credentials={"api_key": os.environ.get("STEPFUN_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.9, "top_p": 0.7},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_customizable_model_schema():
-    model = StepfunLargeLanguageModel()
-
-    schema = model.get_customizable_model_schema(
-        model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}
-    )
-    assert isinstance(schema, AIModelEntity)
-
-
-def test_invoke_chat_model_with_tools():
-    model = StepfunLargeLanguageModel()
-
-    result = model.invoke(
-        model="step-1-8k",
-        credentials={"api_key": os.environ.get("STEPFUN_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in Shanghai?",
-            ),
-        ],
-        model_parameters={"temperature": 0.9, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
diff --git a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py b/api/tests/integration_tests/model_runtime/test_model_provider_factory.py
deleted file mode 100644
index 0ec4b0b724..0000000000
--- a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import logging
-import os
-
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.entities.provider_entities import ProviderConfig, ProviderEntity, SimpleProviderEntity
-from core.model_runtime.model_providers.model_provider_factory import ModelProviderExtension, ModelProviderFactory
-
-logger = logging.getLogger(__name__)
-
-
-def test_get_providers():
-    factory = ModelProviderFactory()
-    providers = factory.get_providers()
-
-    for provider in providers:
-        logger.debug(provider)
-
-    assert len(providers) >= 1
-    assert isinstance(providers[0], ProviderEntity)
-
-
-def test_get_models():
-    factory = ModelProviderFactory()
-    providers = factory.get_models(
-        model_type=ModelType.LLM,
-        provider_configs=[
-            ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
-        ],
-    )
-
-    logger.debug(providers)
-
-    assert len(providers) >= 1
-    assert isinstance(providers[0], SimpleProviderEntity)
-
-    # all provider models type equals to ModelType.LLM
-    for provider in providers:
-        for provider_model in provider.models:
-            assert provider_model.model_type == ModelType.LLM
-
-    providers = factory.get_models(
-        provider="openai",
-        provider_configs=[
-            ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")})
-        ],
-    )
-
-    assert len(providers) == 1
-    assert isinstance(providers[0], SimpleProviderEntity)
-    assert providers[0].provider == "openai"
-
-
-def test_provider_credentials_validate():
-    factory = ModelProviderFactory()
-    factory.provider_credentials_validate(
-        provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}
-    )
-
-
-def test__get_model_provider_map():
-    factory = ModelProviderFactory()
-    model_providers = factory._get_model_provider_map()
-
-    for name, model_provider in model_providers.items():
-        logger.debug(name)
-        logger.debug(model_provider.provider_instance)
-
-    assert len(model_providers) >= 1
-    assert isinstance(model_providers["openai"], ModelProviderExtension)
diff --git a/api/tests/integration_tests/model_runtime/togetherai/__init__.py b/api/tests/integration_tests/model_runtime/togetherai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py b/api/tests/integration_tests/model_runtime/togetherai/test_llm.py
deleted file mode 100644
index 5787e1bf6a..0000000000
--- a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.togetherai.llm.llm import TogetherAILargeLanguageModel
-
-
-def test_validate_credentials():
-    model = TogetherAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={"api_key": "invalid_key", "mode": "chat"}
-        )
-
-    model.validate_credentials(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
-    )
-
-
-def test_invoke_model():
-    model = TogetherAILargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = TogetherAILargeLanguageModel()
-
-    response = model.invoke(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_get_num_tokens():
-    model = TogetherAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
-        credentials={
-            "api_key": os.environ.get("TOGETHER_API_KEY"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/tongyi/__init__.py b/api/tests/integration_tests/model_runtime/tongyi/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py b/api/tests/integration_tests/model_runtime/tongyi/test_llm.py
deleted file mode 100644
index 61650735f2..0000000000
--- a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.tongyi.llm.llm import TongyiLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = TongyiLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="qwen-turbo", credentials={"dashscope_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="qwen-turbo", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}
-    )
-
-
-def test_invoke_model():
-    model = TongyiLargeLanguageModel()
-
-    response = model.invoke(
-        model="qwen-turbo",
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = TongyiLargeLanguageModel()
-
-    response = model.invoke(
-        model="qwen-turbo",
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = TongyiLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="qwen-turbo",
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 12
diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py b/api/tests/integration_tests/model_runtime/tongyi/test_provider.py
deleted file mode 100644
index 0bc96c84e7..0000000000
--- a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.tongyi.tongyi import TongyiProvider
-
-
-def test_validate_provider_credentials():
-    provider = TongyiProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}
-    )
diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py b/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py
deleted file mode 100644
index d37fcf897f..0000000000
--- a/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import os
-
-import dashscope  # type: ignore
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.tongyi.rerank.rerank import GTERerankModel
-
-
-def test_validate_credentials():
-    model = GTERerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="get-rank", credentials={"dashscope_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="get-rank", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}
-    )
-
-
-def test_invoke_model():
-    model = GTERerankModel()
-
-    result = model.invoke(
-        model=dashscope.TextReRank.Models.gte_rerank,
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
-        query="什么是文本排序模型",
-        docs=[
-            "文本排序模型广泛用于搜索引擎和推荐系统中，它们根据文本相关性对候选文本进行排序",
-            "量子计算是计算科学的一个前沿领域",
-            "预训练语言模型的发展给文本排序模型带来了新的进展",
-        ],
-        score_threshold=0.7,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 0
-    assert result.docs[0].score >= 0.7
diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py b/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py
deleted file mode 100644
index 905e7907fd..0000000000
--- a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import json
-import os
-from collections.abc import Generator
-
-from core.model_runtime.entities.llm_entities import LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
-from core.model_runtime.model_providers.tongyi.llm.llm import TongyiLargeLanguageModel
-
-
-def test_invoke_model_with_json_response():
-    """
-    Test the invocation of a model with JSON response.
-    """
-    model_list = [
-        "qwen-max-0403",
-        "qwen-max-1201",
-        "qwen-max-longcontext",
-        "qwen-max",
-        "qwen-plus-chat",
-        "qwen-plus",
-        "qwen-turbo-chat",
-        "qwen-turbo",
-    ]
-    for model_name in model_list:
-        print("testing model: ", model_name)
-        invoke_model_with_json_response(model_name)
-
-
-def invoke_model_with_json_response(model_name="qwen-max-0403"):
-    """
-    Method to invoke the model with JSON response format.
-    Args:
-        model_name (str): The name of the model to invoke. Defaults to "qwen-max-0403".
-
-    Returns:
-        None
-    """
-    model = TongyiLargeLanguageModel()
-
-    response = model.invoke(
-        model=model_name,
-        credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
-        prompt_messages=[
-            UserPromptMessage(content='output json data with format `{"data": "test", "code": 200, "msg": "success"}')
-        ],
-        model_parameters={
-            "temperature": 0.5,
-            "max_tokens": 50,
-            "response_format": "JSON",
-        },
-        stream=True,
-        user="abc-123",
-    )
-    print("=====================================")
-    print(response)
-    assert isinstance(response, Generator)
-    output = ""
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        output += chunk.delta.message.content
-    assert is_json(output)
-
-
-def is_json(s):
-    """
-    Check if a string is a valid JSON.
-
-    Args:
-        s (str): The string to check.
-
-    Returns:
-        bool: True if the string is a valid JSON, False otherwise.
-    """
-    try:
-        json.loads(s)
-    except ValueError:
-        return False
-    return True
diff --git a/api/tests/integration_tests/model_runtime/upstage/__init__.py b/api/tests/integration_tests/model_runtime/upstage/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/upstage/test_llm.py b/api/tests/integration_tests/model_runtime/upstage/test_llm.py
deleted file mode 100644
index 0f39e902f3..0000000000
--- a/api/tests/integration_tests/model_runtime/upstage/test_llm.py
+++ /dev/null
@@ -1,185 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.upstage.llm.llm import UpstageLargeLanguageModel
-
-"""FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def test_predefined_models():
-    model = UpstageLargeLanguageModel()
-    model_schemas = model.predefined_models()
-
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = UpstageLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        # model name to gpt-3.5-turbo because of mocking
-        model.validate_credentials(model="gpt-3.5-turbo", credentials={"upstage_api_key": "invalid_key"})
-
-    model.validate_credentials(
-        model="solar-1-mini-chat", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model(setup_openai_mock):
-    model = UpstageLargeLanguageModel()
-
-    result = model.invoke(
-        model="solar-1-mini-chat",
-        credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_tools(setup_openai_mock):
-    model = UpstageLargeLanguageModel()
-
-    result = model.invoke(
-        model="solar-1-mini-chat",
-        credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-    assert len(result.message.tool_calls) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock):
-    model = UpstageLargeLanguageModel()
-
-    result = model.invoke(
-        model="solar-1-mini-chat",
-        credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = UpstageLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="solar-1-mini-chat",
-        credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 13
-
-    num_tokens = model.get_num_tokens(
-        model="solar-1-mini-chat",
-        credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-    )
-
-    assert num_tokens == 106
diff --git a/api/tests/integration_tests/model_runtime/upstage/test_provider.py b/api/tests/integration_tests/model_runtime/upstage/test_provider.py
deleted file mode 100644
index 9d83779aa0..0000000000
--- a/api/tests/integration_tests/model_runtime/upstage/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.upstage.upstage import UpstageProvider
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_provider_credentials(setup_openai_mock):
-    provider = UpstageProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py
deleted file mode 100644
index 8c83172fa3..0000000000
--- a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.upstage.text_embedding.text_embedding import UpstageTextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_validate_credentials(setup_openai_mock):
-    model = UpstageTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="solar-embedding-1-large-passage", credentials={"upstage_api_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="solar-embedding-1-large-passage", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True)
-def test_invoke_model(setup_openai_mock):
-    model = UpstageTextEmbeddingModel()
-
-    result = model.invoke(
-        model="solar-embedding-1-large-passage",
-        credentials={
-            "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"),
-        },
-        texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 4
-    assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = UpstageTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="solar-embedding-1-large-passage",
-        credentials={
-            "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 5
diff --git a/api/tests/integration_tests/model_runtime/vessl_ai/__init__.py b/api/tests/integration_tests/model_runtime/vessl_ai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py b/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py
deleted file mode 100644
index 7797d0f8e4..0000000000
--- a/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py
+++ /dev/null
@@ -1,131 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.vessl_ai.llm.llm import VesslAILargeLanguageModel
-
-
-def test_validate_credentials():
-    model = VesslAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model=os.environ.get("VESSL_AI_MODEL_NAME"),
-            credentials={
-                "api_key": "invalid_key",
-                "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"),
-                "mode": "chat",
-            },
-        )
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model=os.environ.get("VESSL_AI_MODEL_NAME"),
-            credentials={
-                "api_key": os.environ.get("VESSL_AI_API_KEY"),
-                "endpoint_url": "http://invalid_url",
-                "mode": "chat",
-            },
-        )
-
-    model.validate_credentials(
-        model=os.environ.get("VESSL_AI_MODEL_NAME"),
-        credentials={
-            "api_key": os.environ.get("VESSL_AI_API_KEY"),
-            "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"),
-            "mode": "chat",
-        },
-    )
-
-
-def test_invoke_model():
-    model = VesslAILargeLanguageModel()
-
-    response = model.invoke(
-        model=os.environ.get("VESSL_AI_MODEL_NAME"),
-        credentials={
-            "api_key": os.environ.get("VESSL_AI_API_KEY"),
-            "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = VesslAILargeLanguageModel()
-
-    response = model.invoke(
-        model=os.environ.get("VESSL_AI_MODEL_NAME"),
-        credentials={
-            "api_key": os.environ.get("VESSL_AI_API_KEY"),
-            "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Who are you?"),
-        ],
-        model_parameters={
-            "temperature": 1.0,
-            "top_k": 2,
-            "top_p": 0.5,
-        },
-        stop=["How"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-
-
-def test_get_num_tokens():
-    model = VesslAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model=os.environ.get("VESSL_AI_MODEL_NAME"),
-        credentials={
-            "api_key": os.environ.get("VESSL_AI_API_KEY"),
-            "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/__init__.py b/api/tests/integration_tests/model_runtime/volcengine_maas/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py
deleted file mode 100644
index f831c063a4..0000000000
--- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.volcengine_maas.text_embedding.text_embedding import (
-    VolcengineMaaSTextEmbeddingModel,
-)
-
-
-def test_validate_credentials():
-    model = VolcengineMaaSTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="NOT IMPORTANT",
-            credentials={
-                "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-                "volc_region": "cn-beijing",
-                "volc_access_key_id": "INVALID",
-                "volc_secret_access_key": "INVALID",
-                "endpoint_id": "INVALID",
-                "base_model_name": "Doubao-embedding",
-            },
-        )
-
-    model.validate_credentials(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
-            "base_model_name": "Doubao-embedding",
-        },
-    )
-
-
-def test_invoke_model():
-    model = VolcengineMaaSTextEmbeddingModel()
-
-    result = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
-            "base_model_name": "Doubao-embedding",
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens > 0
-
-
-def test_get_num_tokens():
-    model = VolcengineMaaSTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
-            "base_model_name": "Doubao-embedding",
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py
deleted file mode 100644
index 8ff9c41404..0000000000
--- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py
+++ /dev/null
@@ -1,118 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.volcengine_maas.llm.llm import VolcengineMaaSLargeLanguageModel
-
-
-def test_validate_credentials_for_chat_model():
-    model = VolcengineMaaSLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="NOT IMPORTANT",
-            credentials={
-                "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-                "volc_region": "cn-beijing",
-                "volc_access_key_id": "INVALID",
-                "volc_secret_access_key": "INVALID",
-                "endpoint_id": "INVALID",
-            },
-        )
-
-    model.validate_credentials(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = VolcengineMaaSLargeLanguageModel()
-
-    response = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
-            "base_model_name": "Skylark2-pro-4k",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_model():
-    model = VolcengineMaaSLargeLanguageModel()
-
-    response = model.invoke(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
-            "base_model_name": "Skylark2-pro-4k",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "top_k": 1,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = VolcengineMaaSLargeLanguageModel()
-
-    response = model.get_num_tokens(
-        model="NOT IMPORTANT",
-        credentials={
-            "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
-            "volc_region": "cn-beijing",
-            "volc_access_key_id": os.environ.get("VOLC_API_KEY"),
-            "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
-            "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
-            "base_model_name": "Skylark2-pro-4k",
-        },
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        tools=[],
-    )
-
-    assert isinstance(response, int)
-    assert response == 6
diff --git a/api/tests/integration_tests/model_runtime/voyage/__init__.py b/api/tests/integration_tests/model_runtime/voyage/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/voyage/test_provider.py b/api/tests/integration_tests/model_runtime/voyage/test_provider.py
deleted file mode 100644
index 08978c88a9..0000000000
--- a/api/tests/integration_tests/model_runtime/voyage/test_provider.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.voyage.voyage import VoyageProvider
-
-
-def test_validate_provider_credentials():
-    provider = VoyageProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "hahahaha"})
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "object": "list",
-            "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}],
-            "model": "voyage-3",
-            "usage": {"total_tokens": 1},
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        provider.validate_provider_credentials(credentials={"api_key": os.environ.get("VOYAGE_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/voyage/test_rerank.py b/api/tests/integration_tests/model_runtime/voyage/test_rerank.py
deleted file mode 100644
index e97a9e4c81..0000000000
--- a/api/tests/integration_tests/model_runtime/voyage/test_rerank.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.voyage.rerank.rerank import VoyageRerankModel
-
-
-def test_validate_credentials():
-    model = VoyageRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="rerank-lite-1",
-            credentials={"api_key": "invalid_key"},
-        )
-    with patch("httpx.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "object": "list",
-            "data": [
-                {
-                    "relevance_score": 0.546875,
-                    "index": 0,
-                    "document": "Carson City is the capital city of the American state of Nevada. At the 2010 United "
-                    "States Census, Carson City had a population of 55,274.",
-                },
-                {
-                    "relevance_score": 0.4765625,
-                    "index": 1,
-                    "document": "The Commonwealth of the Northern Mariana Islands is a group of islands in the "
-                    "Pacific Ocean that are a political division controlled by the United States. Its "
-                    "capital is Saipan.",
-                },
-            ],
-            "model": "rerank-lite-1",
-            "usage": {"total_tokens": 96},
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        model.validate_credentials(
-            model="rerank-lite-1",
-            credentials={
-                "api_key": os.environ.get("VOYAGE_API_KEY"),
-            },
-        )
-
-
-def test_invoke_model():
-    model = VoyageRerankModel()
-    with patch("httpx.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "object": "list",
-            "data": [
-                {
-                    "relevance_score": 0.84375,
-                    "index": 0,
-                    "document": "Kasumi is a girl name of Japanese origin meaning mist.",
-                },
-                {
-                    "relevance_score": 0.4765625,
-                    "index": 1,
-                    "document": "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she "
-                    "leads a team named PopiParty.",
-                },
-            ],
-            "model": "rerank-lite-1",
-            "usage": {"total_tokens": 59},
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        result = model.invoke(
-            model="rerank-lite-1",
-            credentials={
-                "api_key": os.environ.get("VOYAGE_API_KEY"),
-            },
-            query="Who is Kasumi?",
-            docs=[
-                "Kasumi is a girl name of Japanese origin meaning mist.",
-                "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a team named "
-                "PopiParty.",
-            ],
-            score_threshold=0.5,
-        )
-
-        assert isinstance(result, RerankResult)
-        assert len(result.docs) == 1
-        assert result.docs[0].index == 0
-        assert result.docs[0].score >= 0.5
diff --git a/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py
deleted file mode 100644
index 75719672a9..0000000000
--- a/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import os
-from unittest.mock import Mock, patch
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.voyage.text_embedding.text_embedding import VoyageTextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = VoyageTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="voyage-3", credentials={"api_key": "invalid_key"})
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "object": "list",
-            "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}],
-            "model": "voyage-3",
-            "usage": {"total_tokens": 1},
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        model.validate_credentials(model="voyage-3", credentials={"api_key": os.environ.get("VOYAGE_API_KEY")})
-
-
-def test_invoke_model():
-    model = VoyageTextEmbeddingModel()
-
-    with patch("requests.post") as mock_post:
-        mock_response = Mock()
-        mock_response.json.return_value = {
-            "object": "list",
-            "data": [
-                {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0},
-                {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 1},
-            ],
-            "model": "voyage-3",
-            "usage": {"total_tokens": 2},
-        }
-        mock_response.status_code = 200
-        mock_post.return_value = mock_response
-        result = model.invoke(
-            model="voyage-3",
-            credentials={
-                "api_key": os.environ.get("VOYAGE_API_KEY"),
-            },
-            texts=["hello", "world"],
-            user="abc-123",
-        )
-
-        assert isinstance(result, TextEmbeddingResult)
-        assert len(result.embeddings) == 2
-        assert result.usage.total_tokens == 2
-
-
-def test_get_num_tokens():
-    model = VoyageTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="voyage-3",
-        credentials={
-            "api_key": os.environ.get("VOYAGE_API_KEY"),
-        },
-        texts=["ping"],
-    )
-
-    assert num_tokens == 1
diff --git a/api/tests/integration_tests/model_runtime/wenxin/__init__.py b/api/tests/integration_tests/model_runtime/wenxin/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py b/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py
deleted file mode 100644
index ac38340aec..0000000000
--- a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import os
-from time import sleep
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import WenxinTextEmbeddingModel
-
-
-def test_invoke_embedding_v1():
-    sleep(3)
-    model = WenxinTextEmbeddingModel()
-
-    response = model.invoke(
-        model="embedding-v1",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        texts=["hello", "你好", "xxxxx"],
-        user="abc-123",
-    )
-
-    assert isinstance(response, TextEmbeddingResult)
-    assert len(response.embeddings) == 3
-    assert isinstance(response.embeddings[0], list)
-
-
-def test_invoke_embedding_bge_large_en():
-    sleep(3)
-    model = WenxinTextEmbeddingModel()
-
-    response = model.invoke(
-        model="bge-large-en",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        texts=["hello", "你好", "xxxxx"],
-        user="abc-123",
-    )
-
-    assert isinstance(response, TextEmbeddingResult)
-    assert len(response.embeddings) == 3
-    assert isinstance(response.embeddings[0], list)
-
-
-def test_invoke_embedding_bge_large_zh():
-    sleep(3)
-    model = WenxinTextEmbeddingModel()
-
-    response = model.invoke(
-        model="bge-large-zh",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        texts=["hello", "你好", "xxxxx"],
-        user="abc-123",
-    )
-
-    assert isinstance(response, TextEmbeddingResult)
-    assert len(response.embeddings) == 3
-    assert isinstance(response.embeddings[0], list)
-
-
-def test_invoke_embedding_tao_8k():
-    sleep(3)
-    model = WenxinTextEmbeddingModel()
-
-    response = model.invoke(
-        model="tao-8k",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        texts=["hello", "你好", "xxxxx"],
-        user="abc-123",
-    )
-
-    assert isinstance(response, TextEmbeddingResult)
-    assert len(response.embeddings) == 3
-    assert isinstance(response.embeddings[0], list)
diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py b/api/tests/integration_tests/model_runtime/wenxin/test_llm.py
deleted file mode 100644
index e2e58f15e0..0000000000
--- a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py
+++ /dev/null
@@ -1,214 +0,0 @@
-import os
-from collections.abc import Generator
-from time import sleep
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.wenxin.llm.llm import ErnieBotLargeLanguageModel
-
-
-def test_predefined_models():
-    model = ErnieBotLargeLanguageModel()
-    model_schemas = model.predefined_models()
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-def test_validate_credentials_for_chat_model():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="ernie-bot", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"}
-        )
-
-    model.validate_credentials(
-        model="ernie-bot",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-    )
-
-
-def test_invoke_model_ernie_bot():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_model_ernie_bot_turbo():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot-turbo",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_model_ernie_8k():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot-8k",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_model_ernie_bot_4():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot-4",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-def test_invoke_stream_model():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-3.5-8k",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_invoke_model_with_system():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[SystemPromptMessage(content="你是Kasumi"), UserPromptMessage(content="你是谁？")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert "kasumi" in response.message.content.lower()
-
-
-def test_invoke_with_search():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.invoke(
-        model="ernie-bot",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-            "disable_search": True,
-        },
-        stop=[],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    total_message = ""
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        total_message += chunk.delta.message.content
-        print(chunk.delta.message.content)
-        assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
-
-    # there should be 对不起、我不能、不支持……
-    assert "不" in total_message or "抱歉" in total_message or "无法" in total_message
-
-
-def test_get_num_tokens():
-    sleep(3)
-    model = ErnieBotLargeLanguageModel()
-
-    response = model.get_num_tokens(
-        model="ernie-bot",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        tools=[],
-    )
-
-    assert isinstance(response, int)
-    assert response == 10
diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py b/api/tests/integration_tests/model_runtime/wenxin/test_provider.py
deleted file mode 100644
index 337c3d2a80..0000000000
--- a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.wenxin.wenxin import WenxinProvider
-
-
-def test_validate_provider_credentials():
-    provider = WenxinProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={"api_key": "hahahaha", "secret_key": "hahahaha"})
-
-    provider.validate_provider_credentials(
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}
-    )
diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py b/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py
deleted file mode 100644
index 33c803e8e1..0000000000
--- a/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import os
-from time import sleep
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.model_providers.wenxin.rerank.rerank import WenxinRerankModel
-
-
-def test_invoke_bce_reranker_base_v1():
-    sleep(3)
-    model = WenxinRerankModel()
-
-    response = model.invoke(
-        model="bce-reranker-base_v1",
-        credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")},
-        query="What is Deep Learning?",
-        docs=["Deep Learning is ...", "My Book is ..."],
-        user="abc-123",
-    )
-
-    assert isinstance(response, RerankResult)
-    assert len(response.docs) == 2
diff --git a/api/tests/integration_tests/model_runtime/x/__init__.py b/api/tests/integration_tests/model_runtime/x/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/x/test_llm.py b/api/tests/integration_tests/model_runtime/x/test_llm.py
deleted file mode 100644
index 647a2f6480..0000000000
--- a/api/tests/integration_tests/model_runtime/x/test_llm.py
+++ /dev/null
@@ -1,204 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.entities.model_entities import AIModelEntity
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.x.llm.llm import XAILargeLanguageModel
-
-"""FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def test_predefined_models():
-    model = XAILargeLanguageModel()
-    model_schemas = model.predefined_models()
-
-    assert len(model_schemas) >= 1
-    assert isinstance(model_schemas[0], AIModelEntity)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock):
-    model = XAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        # model name to gpt-3.5-turbo because of mocking
-        model.validate_credentials(
-            model="gpt-3.5-turbo",
-            credentials={"api_key": "invalid_key", "endpoint_url": os.environ.get("XAI_API_BASE"), "mode": "chat"},
-        )
-
-    model.validate_credentials(
-        model="grok-beta",
-        credentials={
-            "api_key": os.environ.get("XAI_API_KEY"),
-            "endpoint_url": os.environ.get("XAI_API_BASE"),
-            "mode": "chat",
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model(setup_openai_mock):
-    model = XAILargeLanguageModel()
-
-    result = model.invoke(
-        model="grok-beta",
-        credentials={
-            "api_key": os.environ.get("XAI_API_KEY"),
-            "endpoint_url": os.environ.get("XAI_API_BASE"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.0,
-            "top_p": 1.0,
-            "presence_penalty": 0.0,
-            "frequency_penalty": 0.0,
-            "max_tokens": 10,
-        },
-        stop=["How"],
-        stream=False,
-        user="foo",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert len(result.message.content) > 0
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_chat_model_with_tools(setup_openai_mock):
-    model = XAILargeLanguageModel()
-
-    result = model.invoke(
-        model="grok-beta",
-        credentials={
-            "api_key": os.environ.get("XAI_API_KEY"),
-            "endpoint_url": os.environ.get("XAI_API_BASE"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(
-                content="what's the weather today in London?",
-            ),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-            PromptMessageTool(
-                name="get_stock_price",
-                description="Get the current stock price",
-                parameters={
-                    "type": "object",
-                    "properties": {"symbol": {"type": "string", "description": "The stock symbol"}},
-                    "required": ["symbol"],
-                },
-            ),
-        ],
-        stream=False,
-        user="foo",
-    )
-
-    assert isinstance(result, LLMResult)
-    assert isinstance(result.message, AssistantPromptMessage)
-
-
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock):
-    model = XAILargeLanguageModel()
-
-    result = model.invoke(
-        model="grok-beta",
-        credentials={
-            "api_key": os.environ.get("XAI_API_KEY"),
-            "endpoint_url": os.environ.get("XAI_API_BASE"),
-            "mode": "chat",
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={"temperature": 0.0, "max_tokens": 100},
-        stream=True,
-        user="foo",
-    )
-
-    assert isinstance(result, Generator)
-
-    for chunk in result:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-        if chunk.delta.finish_reason is not None:
-            assert chunk.delta.usage is not None
-            assert chunk.delta.usage.completion_tokens > 0
-
-
-def test_get_num_tokens():
-    model = XAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="grok-beta",
-        credentials={"api_key": os.environ.get("XAI_API_KEY"), "endpoint_url": os.environ.get("XAI_API_BASE")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-    )
-
-    assert num_tokens == 10
-
-    num_tokens = model.get_num_tokens(
-        model="grok-beta",
-        credentials={"api_key": os.environ.get("XAI_API_KEY"), "endpoint_url": os.environ.get("XAI_API_BASE")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_weather",
-                description="Determine weather in my location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            ),
-        ],
-    )
-
-    assert num_tokens == 77
diff --git a/api/tests/integration_tests/model_runtime/xinference/__init__.py b/api/tests/integration_tests/model_runtime/xinference/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py b/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py
deleted file mode 100644
index 8e778d005a..0000000000
--- a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.xinference.text_embedding.text_embedding import XinferenceTextEmbeddingModel
-from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock
-
-
-@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_xinference_mock):
-    model = XinferenceTextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-base-en",
-            credentials={
-                "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-                "model_uid": "www " + os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"),
-            },
-        )
-
-    model.validate_credentials(
-        model="bge-base-en",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_xinference_mock):
-    model = XinferenceTextEmbeddingModel()
-
-    result = model.invoke(
-        model="bge-base-en",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"),
-        },
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens > 0
-
-
-def test_get_num_tokens():
-    model = XinferenceTextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="bge-base-en",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"),
-        },
-        texts=["hello", "world"],
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/model_runtime/xinference/test_llm.py b/api/tests/integration_tests/model_runtime/xinference/test_llm.py
deleted file mode 100644
index 5e4cde3638..0000000000
--- a/api/tests/integration_tests/model_runtime/xinference/test_llm.py
+++ /dev/null
@@ -1,364 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.xinference.llm.llm import XinferenceAILargeLanguageModel
-
-"""FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-from tests.integration_tests.model_runtime.__mock.xinference import setup_xinference_mock
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
-def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="ChatGLM3",
-            credentials={
-                "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-                "model_uid": "www " + os.environ.get("XINFERENCE_CHAT_MODEL_UID"),
-            },
-        )
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="aaaaa", credentials={"server_url": "", "model_uid": ""})
-
-    model.validate_credentials(
-        model="ChatGLM3",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"),
-        },
-    )
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
-def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    response = model.invoke(
-        model="ChatGLM3",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
-def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    response = model.invoke(
-        model="ChatGLM3",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-"""
-    Function calling of xinference does not support stream mode currently
-"""
-# def test_invoke_stream_chat_model_with_functions():
-#     model = XinferenceAILargeLanguageModel()
-
-#     response = model.invoke(
-#         model='ChatGLM3-6b',
-#         credentials={
-#             'server_url': os.environ.get('XINFERENCE_SERVER_URL'),
-#             'model_type': 'text-generation',
-#             'model_name': 'ChatGLM3',
-#             'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID')
-#         },
-#         prompt_messages=[
-#             SystemPromptMessage(
-#                 content='你是一个天气机器人，可以通过调用函数来获取天气信息',
-#             ),
-#             UserPromptMessage(
-#                 content='波士顿天气如何？'
-#             )
-#         ],
-#         model_parameters={
-#             'temperature': 0,
-#             'top_p': 1.0,
-#         },
-#         stop=['you'],
-#         user='abc-123',
-#         stream=True,
-#         tools=[
-#             PromptMessageTool(
-#                 name='get_current_weather',
-#                 description='Get the current weather in a given location',
-#                 parameters={
-#                     "type": "object",
-#                     "properties": {
-#                         "location": {
-#                         "type": "string",
-#                             "description": "The city and state e.g. San Francisco, CA"
-#                         },
-#                         "unit": {
-#                             "type": "string",
-#                             "enum": ["celsius", "fahrenheit"]
-#                         }
-#                     },
-#                     "required": [
-#                         "location"
-#                     ]
-#                 }
-#             )
-#         ]
-#     )
-
-#     assert isinstance(response, Generator)
-
-#     call: LLMResultChunk = None
-#     chunks = []
-
-#     for chunk in response:
-#         chunks.append(chunk)
-#         assert isinstance(chunk, LLMResultChunk)
-#         assert isinstance(chunk.delta, LLMResultChunkDelta)
-#         assert isinstance(chunk.delta.message, AssistantPromptMessage)
-#         assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-#         if chunk.delta.message.tool_calls and len(chunk.delta.message.tool_calls) > 0:
-#             call = chunk
-#             break
-
-#     assert call is not None
-#     assert call.delta.message.tool_calls[0].function.name == 'get_current_weather'
-
-# def test_invoke_chat_model_with_functions():
-#     model = XinferenceAILargeLanguageModel()
-
-#     response = model.invoke(
-#         model='ChatGLM3-6b',
-#         credentials={
-#             'server_url': os.environ.get('XINFERENCE_SERVER_URL'),
-#             'model_type': 'text-generation',
-#             'model_name': 'ChatGLM3',
-#             'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID')
-#         },
-#         prompt_messages=[
-#             UserPromptMessage(
-#                 content='What is the weather like in San Francisco?'
-#             )
-#         ],
-#         model_parameters={
-#             'temperature': 0.7,
-#             'top_p': 1.0,
-#         },
-#         stop=['you'],
-#         user='abc-123',
-#         stream=False,
-#         tools=[
-#             PromptMessageTool(
-#                 name='get_current_weather',
-#                 description='Get the current weather in a given location',
-#                 parameters={
-#                     "type": "object",
-#                     "properties": {
-#                         "location": {
-#                         "type": "string",
-#                             "description": "The city and state e.g. San Francisco, CA"
-#                         },
-#                         "unit": {
-#                             "type": "string",
-#                             "enum": [
-#                                 "c",
-#                                 "f"
-#                             ]
-#                         }
-#                     },
-#                     "required": [
-#                         "location"
-#                     ]
-#                 }
-#             )
-#         ]
-#     )
-
-#     assert isinstance(response, LLMResult)
-#     assert len(response.message.content) > 0
-#     assert response.usage.total_tokens > 0
-#     assert response.message.tool_calls[0].function.name == 'get_current_weather'
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
-def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="alapaca",
-            credentials={
-                "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-                "model_uid": "www " + os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-            },
-        )
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="alapaca", credentials={"server_url": "", "model_uid": ""})
-
-    model.validate_credentials(
-        model="alapaca",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-        },
-    )
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
-def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    response = model.invoke(
-        model="alapaca",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-        },
-        prompt_messages=[UserPromptMessage(content="the United States is")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        user="abc-123",
-        stream=False,
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-    assert response.usage.total_tokens > 0
-
-
-@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
-def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock):
-    model = XinferenceAILargeLanguageModel()
-
-    response = model.invoke(
-        model="alapaca",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-        },
-        prompt_messages=[UserPromptMessage(content="the United States is")],
-        model_parameters={
-            "temperature": 0.7,
-            "top_p": 1.0,
-        },
-        stop=["you"],
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = XinferenceAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="ChatGLM3",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 77
-
-    num_tokens = model.get_num_tokens(
-        model="ChatGLM3",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"),
-        },
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert isinstance(num_tokens, int)
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py b/api/tests/integration_tests/model_runtime/xinference/test_rerank.py
deleted file mode 100644
index 71ac4eef7c..0000000000
--- a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.rerank_entities import RerankResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.xinference.rerank.rerank import XinferenceRerankModel
-from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock
-
-
-@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True)
-def test_validate_credentials(setup_xinference_mock):
-    model = XinferenceRerankModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="bge-reranker-base",
-            credentials={"server_url": "awdawdaw", "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID")},
-        )
-
-    model.validate_credentials(
-        model="bge-reranker-base",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"),
-        },
-    )
-
-
-@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True)
-def test_invoke_model(setup_xinference_mock):
-    model = XinferenceRerankModel()
-
-    result = model.invoke(
-        model="bge-reranker-base",
-        credentials={
-            "server_url": os.environ.get("XINFERENCE_SERVER_URL"),
-            "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"),
-        },
-        query="Who is Kasumi?",
-        docs=[
-            'Kasumi is a girl\'s name of Japanese origin meaning "mist".',
-            "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ",
-            "and she leads a team named PopiParty.",
-        ],
-        score_threshold=0.8,
-    )
-
-    assert isinstance(result, RerankResult)
-    assert len(result.docs) == 1
-    assert result.docs[0].index == 0
-    assert result.docs[0].score >= 0.8
diff --git a/api/tests/integration_tests/model_runtime/zhinao/__init__.py b/api/tests/integration_tests/model_runtime/zhinao/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py b/api/tests/integration_tests/model_runtime/zhinao/test_llm.py
deleted file mode 100644
index 4ca1b86476..0000000000
--- a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.zhinao.llm.llm import ZhinaoLargeLanguageModel
-
-
-def test_validate_credentials():
-    model = ZhinaoLargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="360gpt2-pro", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="360gpt2-pro", credentials={"api_key": os.environ.get("ZHINAO_API_KEY")})
-
-
-def test_invoke_model():
-    model = ZhinaoLargeLanguageModel()
-
-    response = model.invoke(
-        model="360gpt2-pro",
-        credentials={"api_key": os.environ.get("ZHINAO_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 0.5, "max_tokens": 10},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = ZhinaoLargeLanguageModel()
-
-    response = model.invoke(
-        model="360gpt2-pro",
-        credentials={"api_key": os.environ.get("ZHINAO_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = ZhinaoLargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="360gpt2-pro",
-        credentials={"api_key": os.environ.get("ZHINAO_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 21
diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py b/api/tests/integration_tests/model_runtime/zhinao/test_provider.py
deleted file mode 100644
index c22f797919..0000000000
--- a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.zhinao.zhinao import ZhinaoProvider
-
-
-def test_validate_provider_credentials():
-    provider = ZhinaoProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHINAO_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/zhipuai/__init__.py b/api/tests/integration_tests/model_runtime/zhipuai/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py b/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py
deleted file mode 100644
index 20380513ea..0000000000
--- a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py
+++ /dev/null
@@ -1,109 +0,0 @@
-import os
-from collections.abc import Generator
-
-import pytest
-
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
-from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
-    PromptMessageTool,
-    SystemPromptMessage,
-    UserPromptMessage,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.zhipuai.llm.llm import ZhipuAILargeLanguageModel
-
-
-def test_validate_credentials():
-    model = ZhipuAILargeLanguageModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="chatglm_turbo", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="chatglm_turbo", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")})
-
-
-def test_invoke_model():
-    model = ZhipuAILargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm_turbo",
-        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Who are you?")],
-        model_parameters={"temperature": 0.9, "top_p": 0.7},
-        stop=["How"],
-        stream=False,
-        user="abc-123",
-    )
-
-    assert isinstance(response, LLMResult)
-    assert len(response.message.content) > 0
-
-
-def test_invoke_stream_model():
-    model = ZhipuAILargeLanguageModel()
-
-    response = model.invoke(
-        model="chatglm_turbo",
-        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
-        prompt_messages=[UserPromptMessage(content="Hello World!")],
-        model_parameters={"temperature": 0.9, "top_p": 0.7},
-        stream=True,
-        user="abc-123",
-    )
-
-    assert isinstance(response, Generator)
-
-    for chunk in response:
-        assert isinstance(chunk, LLMResultChunk)
-        assert isinstance(chunk.delta, LLMResultChunkDelta)
-        assert isinstance(chunk.delta.message, AssistantPromptMessage)
-        assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
-
-
-def test_get_num_tokens():
-    model = ZhipuAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="chatglm_turbo",
-        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 14
-
-
-def test_get_tools_num_tokens():
-    model = ZhipuAILargeLanguageModel()
-
-    num_tokens = model.get_num_tokens(
-        model="tools",
-        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
-        tools=[
-            PromptMessageTool(
-                name="get_current_weather",
-                description="Get the current weather in a given location",
-                parameters={
-                    "type": "object",
-                    "properties": {
-                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
-                        "unit": {"type": "string", "enum": ["c", "f"]},
-                    },
-                    "required": ["location"],
-                },
-            )
-        ],
-        prompt_messages=[
-            SystemPromptMessage(
-                content="You are a helpful AI assistant.",
-            ),
-            UserPromptMessage(content="Hello World!"),
-        ],
-    )
-
-    assert num_tokens == 88
diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py b/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py
deleted file mode 100644
index cb5bc0b20a..0000000000
--- a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.zhipuai.zhipuai import ZhipuaiProvider
-
-
-def test_validate_provider_credentials():
-    provider = ZhipuaiProvider()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        provider.validate_provider_credentials(credentials={})
-
-    provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")})
diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py
deleted file mode 100644
index 9c97c91ecb..0000000000
--- a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import os
-
-import pytest
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.zhipuai.text_embedding.text_embedding import ZhipuAITextEmbeddingModel
-
-
-def test_validate_credentials():
-    model = ZhipuAITextEmbeddingModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(model="text_embedding", credentials={"api_key": "invalid_key"})
-
-    model.validate_credentials(model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")})
-
-
-def test_invoke_model():
-    model = ZhipuAITextEmbeddingModel()
-
-    result = model.invoke(
-        model="text_embedding",
-        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
-        texts=["hello", "world"],
-        user="abc-123",
-    )
-
-    assert isinstance(result, TextEmbeddingResult)
-    assert len(result.embeddings) == 2
-    assert result.usage.total_tokens > 0
-
-
-def test_get_num_tokens():
-    model = ZhipuAITextEmbeddingModel()
-
-    num_tokens = model.get_num_tokens(
-        model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, texts=["hello", "world"]
-    )
-
-    assert num_tokens == 2
diff --git a/api/tests/integration_tests/plugin/__mock/http.py b/api/tests/integration_tests/plugin/__mock/http.py
new file mode 100644
index 0000000000..25177274c6
--- /dev/null
+++ b/api/tests/integration_tests/plugin/__mock/http.py
@@ -0,0 +1,66 @@
+import os
+from typing import Literal
+
+import pytest
+import requests
+from _pytest.monkeypatch import MonkeyPatch
+
+from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_entities import ToolProviderEntity, ToolProviderIdentity
+
+
+class MockedHttp:
+    @classmethod
+    def list_tools(cls) -> list[ToolProviderEntity]:
+        return [
+            ToolProviderEntity(
+                identity=ToolProviderIdentity(
+                    author="Yeuoly",
+                    name="Yeuoly",
+                    description=I18nObject(en_US="Yeuoly"),
+                    icon="ssss.svg",
+                    label=I18nObject(en_US="Yeuoly"),
+                )
+            )
+        ]
+
+    @classmethod
+    def requests_request(
+        cls, method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"], url: str, **kwargs
+    ) -> requests.Response:
+        """
+        Mocked requests.request
+        """
+        request = requests.PreparedRequest()
+        request.method = method
+        request.url = url
+        if url.endswith("/tools"):
+            content = PluginDaemonBasicResponse[list[ToolProviderEntity]](
+                code=0, message="success", data=cls.list_tools()
+            ).model_dump_json()
+        else:
+            raise ValueError("")
+
+        response = requests.Response()
+        response.status_code = 200
+        response.request = request
+        response._content = content.encode("utf-8")
+        return response
+
+
+MOCK_SWITCH = os.getenv("MOCK_SWITCH", "false").lower() == "true"
+
+
+@pytest.fixture
+def setup_http_mock(request, monkeypatch: MonkeyPatch):
+    if MOCK_SWITCH:
+        monkeypatch.setattr(requests, "request", MockedHttp.requests_request)
+
+        def unpatch():
+            monkeypatch.undo()
+
+    yield
+
+    if MOCK_SWITCH:
+        unpatch()
diff --git a/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py
new file mode 100644
index 0000000000..c6d836ed6d
--- /dev/null
+++ b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py
@@ -0,0 +1,8 @@
+from core.plugin.manager.tool import PluginToolManager
+from tests.integration_tests.plugin.__mock.http import setup_http_mock
+
+
+def test_fetch_all_plugin_tools(setup_http_mock):
+    manager = PluginToolManager()
+    tools = manager.fetch_tool_providers(tenant_id="test-tenant")
+    assert len(tools) >= 1
diff --git a/api/tests/integration_tests/tools/api_tool/test_api_tool.py b/api/tests/integration_tests/tools/api_tool/test_api_tool.py
index 1bd75b91f7..9acc94e110 100644
--- a/api/tests/integration_tests/tools/api_tool/test_api_tool.py
+++ b/api/tests/integration_tests/tools/api_tool/test_api_tool.py
@@ -1,5 +1,8 @@
-from core.tools.tool.api_tool import ApiTool
-from core.tools.tool.tool import Tool
+from core.tools.__base.tool_runtime import ToolRuntime
+from core.tools.custom_tool.tool import ApiTool
+from core.tools.entities.common_entities import I18nObject
+from core.tools.entities.tool_bundle import ApiToolBundle
+from core.tools.entities.tool_entities import ToolEntity, ToolIdentity
 from tests.integration_tests.tools.__mock.http import setup_http_mock
 
 tool_bundle = {
@@ -29,7 +32,13 @@ parameters = {
 
 
 def test_api_tool(setup_http_mock):
-    tool = ApiTool(api_bundle=tool_bundle, runtime=Tool.Runtime(credentials={"auth_type": "none"}))
+    tool = ApiTool(
+        entity=ToolEntity(
+            identity=ToolIdentity(provider="", author="", name="", label=I18nObject()),
+        ),
+        api_bundle=ApiToolBundle(**tool_bundle),
+        runtime=ToolRuntime(tenant_id="", credentials={"auth_type": "none"}),
+    )
     headers = tool.assembling_request(parameters)
     response = tool.do_http_request(tool.api_bundle.server_url, tool.api_bundle.method, headers, parameters)
 
diff --git a/api/tests/integration_tests/tools/test_all_provider.py b/api/tests/integration_tests/tools/test_all_provider.py
deleted file mode 100644
index 2dfce749b3..0000000000
--- a/api/tests/integration_tests/tools/test_all_provider.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import pytest
-
-from core.tools.tool_manager import ToolManager
-
-provider_generator = ToolManager.list_builtin_providers()
-provider_names = [provider.identity.name for provider in provider_generator]
-ToolManager.clear_builtin_providers_cache()
-provider_generator = ToolManager.list_builtin_providers()
-
-
-@pytest.mark.parametrize("name", provider_names)
-def test_tool_providers(benchmark, name):
-    """
-    Test that all tool providers can be loaded
-    """
-
-    def test(generator):
-        try:
-            return next(generator)
-        except StopIteration:
-            return None
-
-    benchmark.pedantic(test, args=(provider_generator,), iterations=1, rounds=1)
diff --git a/api/tests/integration_tests/workflow/nodes/__mock/model.py b/api/tests/integration_tests/workflow/nodes/__mock/model.py
new file mode 100644
index 0000000000..7c48d84d69
--- /dev/null
+++ b/api/tests/integration_tests/workflow/nodes/__mock/model.py
@@ -0,0 +1,50 @@
+from unittest.mock import MagicMock
+
+from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
+from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
+from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
+from core.model_manager import ModelInstance
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from models.provider import ProviderType
+
+
+def get_mocked_fetch_model_config(
+    provider: str,
+    model: str,
+    mode: str,
+    credentials: dict,
+):
+    model_provider_factory = ModelProviderFactory(tenant_id="test_tenant")
+    model_type_instance = model_provider_factory.get_model_type_instance(provider, ModelType.LLM)
+    provider_model_bundle = ProviderModelBundle(
+        configuration=ProviderConfiguration(
+            tenant_id="1",
+            provider=model_provider_factory.get_provider_schema(provider),
+            preferred_provider_type=ProviderType.CUSTOM,
+            using_provider_type=ProviderType.CUSTOM,
+            system_configuration=SystemConfiguration(enabled=False),
+            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
+            model_settings=[],
+        ),
+        model_type_instance=model_type_instance,
+    )
+    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model)
+    model_schema = model_provider_factory.get_model_schema(
+        provider=provider,
+        model_type=model_type_instance.model_type,
+        model=model,
+        credentials=credentials,
+    )
+    assert model_schema is not None
+    model_config = ModelConfigWithCredentialsEntity(
+        model=model,
+        provider=provider,
+        mode=mode,
+        credentials=credentials,
+        parameters={},
+        model_schema=model_schema,
+        provider_model_bundle=provider_model_bundle,
+    )
+
+    return MagicMock(return_value=(model_instance, model_config))
diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py
index 9a23949b38..22354df196 100644
--- a/api/tests/integration_tests/workflow/nodes/test_llm.py
+++ b/api/tests/integration_tests/workflow/nodes/test_llm.py
@@ -7,12 +7,7 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
-from core.model_manager import ModelInstance
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers import ModelProviderFactory
+from core.app.entities.app_invoke_entities import InvokeFrom
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
@@ -22,11 +17,11 @@ from core.workflow.nodes.event import RunCompletedEvent
 from core.workflow.nodes.llm.node import LLMNode
 from extensions.ext_database import db
 from models.enums import UserFrom
-from models.provider import ProviderType
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
+from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config
 
 """FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
+from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock
 from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock
 
 
@@ -81,15 +76,19 @@ def init_llm_node(config: dict) -> LLMNode:
     return node
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_execute_llm(setup_openai_mock):
+def test_execute_llm(setup_model_mock):
     node = init_llm_node(
         config={
             "id": "llm",
             "data": {
                 "title": "123",
                 "type": "llm",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "prompt_template": [
                     {"role": "system", "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}."},
                     {"role": "user", "text": "{{#sys.query#}}"},
@@ -103,38 +102,15 @@ def test_execute_llm(setup_openai_mock):
 
     credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")}
 
-    provider_instance = ModelProviderFactory().get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        provider_instance=provider_instance,
-        model_type_instance=model_type_instance,
-    )
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo")
-    model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo")
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model="gpt-3.5-turbo",
-        provider="openai",
-        mode="chat",
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
     # Mock db.session.close()
     db.session.close = MagicMock()
 
-    node._fetch_model_config = MagicMock(return_value=(model_instance, model_config))
+    node._fetch_model_config = get_mocked_fetch_model_config(
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
+        mode="chat",
+        credentials=credentials,
+    )
 
     # execute node
     result = node._run()
@@ -150,8 +126,7 @@ def test_execute_llm(setup_openai_mock):
 
 
 @pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock):
+def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_model_mock):
     """
     Test execute LLM node with jinja2
     """
@@ -191,39 +166,15 @@ def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock):
 
     credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")}
 
-    provider_instance = ModelProviderFactory().get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        provider_instance=provider_instance,
-        model_type_instance=model_type_instance,
-    )
-
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo")
-    model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo")
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model="gpt-3.5-turbo",
-        provider="openai",
-        mode="chat",
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
     # Mock db.session.close()
     db.session.close = MagicMock()
 
-    node._fetch_model_config = MagicMock(return_value=(model_instance, model_config))
+    node._fetch_model_config = get_mocked_fetch_model_config(
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
+        mode="chat",
+        credentials=credentials,
+    )
 
     # execute node
     result = node._run()
diff --git a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
index 42a058d29b..ca055f5cc5 100644
--- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
+++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
@@ -4,14 +4,7 @@ import uuid
 from typing import Optional
 from unittest.mock import MagicMock
 
-import pytest
-
-from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
-from core.model_manager import ModelInstance
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.app.entities.app_invoke_entities import InvokeFrom
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
@@ -20,49 +13,11 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime
 from core.workflow.nodes.parameter_extractor.parameter_extractor_node import ParameterExtractorNode
 from extensions.ext_database import db
 from models.enums import UserFrom
-from models.provider import ProviderType
+from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config
 
 """FOR MOCK FIXTURES, DO NOT REMOVE"""
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
-from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def get_mocked_fetch_model_config(
-    provider: str,
-    model: str,
-    mode: str,
-    credentials: dict,
-):
-    provider_instance = ModelProviderFactory().get_provider_instance(provider)
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        provider_instance=provider_instance,
-        model_type_instance=model_type_instance,
-    )
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model)
-    model_schema = model_type_instance.get_model_schema(model)
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model=model,
-        provider=provider,
-        mode=mode,
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
-    return MagicMock(return_value=(model_instance, model_config))
+from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock
 
 
 def get_mocked_fetch_memory(memory_text: str):
@@ -129,8 +84,7 @@ def init_parameter_extractor_node(config: dict):
     )
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_function_calling_parameter_extractor(setup_openai_mock):
+def test_function_calling_parameter_extractor(setup_model_mock):
     """
     Test function calling for parameter extractor.
     """
@@ -140,7 +94,12 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "instruction": "",
@@ -151,25 +110,13 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo",
         mode="chat",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     db.session.close = MagicMock()
 
-    # construct variable pool
-    pool = VariablePool(
-        system_variables={
-            SystemVariableKey.QUERY: "what's the weather in SF",
-            SystemVariableKey.FILES: [],
-            SystemVariableKey.CONVERSATION_ID: "abababa",
-            SystemVariableKey.USER_ID: "aaa",
-        },
-        user_inputs={},
-        environment_variables=[],
-    )
-
     result = node._run()
 
     assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
@@ -178,8 +125,7 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
     assert result.outputs.get("__reason") == None
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_instructions(setup_openai_mock):
+def test_instructions(setup_model_mock):
     """
     Test chat parameter extractor.
     """
@@ -189,7 +135,12 @@ def test_instructions(setup_openai_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "function_call",
@@ -200,7 +151,7 @@ def test_instructions(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo",
         mode="chat",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
@@ -224,8 +175,7 @@ def test_instructions(setup_openai_mock):
             assert "what's the weather in SF" in prompt.get("text")
 
 
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_chat_parameter_extractor(setup_anthropic_mock):
+def test_chat_parameter_extractor(setup_model_mock):
     """
     Test chat parameter extractor.
     """
@@ -235,7 +185,12 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "prompt",
@@ -246,10 +201,10 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="anthropic",
-        model="claude-2",
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
         mode="chat",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
+        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     db.session.close = MagicMock()
 
@@ -271,8 +226,7 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
                 assert '<structure>\n{"type": "object"' in prompt.get("text")
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_completion_parameter_extractor(setup_openai_mock):
+def test_completion_parameter_extractor(setup_model_mock):
     """
     Test completion parameter extractor.
     """
@@ -283,7 +237,7 @@ def test_completion_parameter_extractor(setup_openai_mock):
                 "title": "123",
                 "type": "parameter-extractor",
                 "model": {
-                    "provider": "openai",
+                    "provider": "langgenius/openai/openai",
                     "name": "gpt-3.5-turbo-instruct",
                     "mode": "completion",
                     "completion_params": {},
@@ -298,7 +252,7 @@ def test_completion_parameter_extractor(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo-instruct",
         mode="completion",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
@@ -331,7 +285,7 @@ def test_extract_json_response():
                 "title": "123",
                 "type": "parameter-extractor",
                 "model": {
-                    "provider": "openai",
+                    "provider": "langgenius/openai/openai",
                     "name": "gpt-3.5-turbo-instruct",
                     "mode": "completion",
                     "completion_params": {},
@@ -357,8 +311,7 @@ def test_extract_json_response():
     assert result["location"] == "kawaii"
 
 
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
+def test_chat_parameter_extractor_with_memory(setup_model_mock):
     """
     Test chat parameter extractor with memory.
     """
@@ -368,7 +321,12 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "prompt",
@@ -379,10 +337,10 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="anthropic",
-        model="claude-2",
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
         mode="chat",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
+        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     node._fetch_memory = get_mocked_fetch_memory("customized memory")
     db.session.close = MagicMock()
diff --git a/api/tests/integration_tests/workflow/nodes/test_tool.py b/api/tests/integration_tests/workflow/nodes/test_tool.py
index 4068e796b7..5a569a5983 100644
--- a/api/tests/integration_tests/workflow/nodes/test_tool.py
+++ b/api/tests/integration_tests/workflow/nodes/test_tool.py
@@ -1,13 +1,15 @@
 import time
 import uuid
+from unittest.mock import MagicMock
 
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.workflow.entities.node_entities import NodeRunResult
+from core.tools.utils.configuration import ToolParameterConfigurationManager
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams
 from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
+from core.workflow.nodes.event.event import RunCompletedEvent
 from core.workflow.nodes.tool.tool_node import ToolNode
 from models.enums import UserFrom
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
@@ -63,31 +65,28 @@ def test_tool_variable_invoke():
             "data": {
                 "title": "a",
                 "desc": "a",
-                "provider_id": "maths",
+                "provider_id": "time",
                 "provider_type": "builtin",
-                "provider_name": "maths",
-                "tool_name": "eval_expression",
-                "tool_label": "eval_expression",
+                "provider_name": "time",
+                "tool_name": "current_time",
+                "tool_label": "current_time",
                 "tool_configurations": {},
-                "tool_parameters": {
-                    "expression": {
-                        "type": "variable",
-                        "value": ["1", "123", "args1"],
-                    }
-                },
+                "tool_parameters": {},
             },
         }
     )
 
+    ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"})
+
     node.graph_runtime_state.variable_pool.add(["1", "123", "args1"], "1+1")
 
     # execute node
     result = node._run()
-    assert isinstance(result, NodeRunResult)
-    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
-    assert result.outputs is not None
-    assert "2" in result.outputs["text"]
-    assert result.outputs["files"] == []
+    for item in result:
+        if isinstance(item, RunCompletedEvent):
+            assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED
+            assert item.run_result.outputs is not None
+            assert item.run_result.outputs.get("text") is not None
 
 
 def test_tool_mixed_invoke():
@@ -97,28 +96,25 @@ def test_tool_mixed_invoke():
             "data": {
                 "title": "a",
                 "desc": "a",
-                "provider_id": "maths",
+                "provider_id": "time",
                 "provider_type": "builtin",
-                "provider_name": "maths",
-                "tool_name": "eval_expression",
-                "tool_label": "eval_expression",
-                "tool_configurations": {},
-                "tool_parameters": {
-                    "expression": {
-                        "type": "mixed",
-                        "value": "{{#1.args1#}}",
-                    }
+                "provider_name": "time",
+                "tool_name": "current_time",
+                "tool_label": "current_time",
+                "tool_configurations": {
+                    "format": "%Y-%m-%d %H:%M:%S",
                 },
+                "tool_parameters": {},
             },
         }
     )
 
-    node.graph_runtime_state.variable_pool.add(["1", "args1"], "1+1")
+    ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"})
 
     # execute node
     result = node._run()
-    assert isinstance(result, NodeRunResult)
-    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
-    assert result.outputs is not None
-    assert "2" in result.outputs["text"]
-    assert result.outputs["files"] == []
+    for item in result:
+        if isinstance(item, RunCompletedEvent):
+            assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED
+            assert item.run_result.outputs is not None
+            assert item.run_result.outputs.get("text") is not None
diff --git a/api/tests/unit_tests/core/helper/test_marketplace.py b/api/tests/unit_tests/core/helper/test_marketplace.py
new file mode 100644
index 0000000000..6ccce7ac9f
--- /dev/null
+++ b/api/tests/unit_tests/core/helper/test_marketplace.py
@@ -0,0 +1,7 @@
+from core.helper.marketplace import download_plugin_pkg
+
+
+def test_download_plugin_pkg():
+    pkg = download_plugin_pkg("langgenius/bing:0.0.1@e58735424d2104f208c2bd683c5142e0332045b425927067acf432b26f3d970b")
+    assert pkg is not None
+    assert len(pkg) > 0
diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/__init__.py b/api/tests/unit_tests/core/model_runtime/model_providers/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/__init__.py b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py
deleted file mode 100644
index a301f56d75..0000000000
--- a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import string
-
-import numpy as np
-
-from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
-from core.model_runtime.model_providers.__base.tokenizers.gpt2_tokenzier import GPT2Tokenizer
-from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import (
-    TextEmbedding,
-    WenxinTextEmbeddingModel,
-)
-
-
-def test_max_chunks():
-    class _MockTextEmbedding(TextEmbedding):
-        def embed_documents(self, model: str, texts: list[str], user: str) -> (list[list[float]], int, int):
-            embeddings = [[1.0, 2.0, 3.0] for i in range(len(texts))]
-            tokens = 0
-            for text in texts:
-                tokens += len(text)
-
-            return embeddings, tokens, tokens
-
-    def _create_text_embedding(api_key: str, secret_key: str) -> TextEmbedding:
-        return _MockTextEmbedding()
-
-    model = "embedding-v1"
-    credentials = {
-        "api_key": "xxxx",
-        "secret_key": "yyyy",
-    }
-    embedding_model = WenxinTextEmbeddingModel()
-    context_size = embedding_model._get_context_size(model, credentials)
-    max_chunks = embedding_model._get_max_chunks(model, credentials)
-    embedding_model._create_text_embedding = _create_text_embedding
-
-    texts = [string.digits for i in range(0, max_chunks * 2)]
-    result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test")
-    assert len(result.embeddings) == max_chunks * 2
-
-
-def test_context_size():
-    def get_num_tokens_by_gpt2(text: str) -> int:
-        return GPT2Tokenizer.get_num_tokens(text)
-
-    def mock_text(token_size: int) -> str:
-        _text = "".join(["0" for i in range(token_size)])
-        num_tokens = get_num_tokens_by_gpt2(_text)
-        ratio = int(np.floor(len(_text) / num_tokens))
-        m_text = "".join([_text for i in range(ratio)])
-        return m_text
-
-    model = "embedding-v1"
-    credentials = {
-        "api_key": "xxxx",
-        "secret_key": "yyyy",
-    }
-    embedding_model = WenxinTextEmbeddingModel()
-    context_size = embedding_model._get_context_size(model, credentials)
-
-    class _MockTextEmbedding(TextEmbedding):
-        def embed_documents(self, model: str, texts: list[str], user: str) -> (list[list[float]], int, int):
-            embeddings = [[1.0, 2.0, 3.0] for i in range(len(texts))]
-            tokens = 0
-            for text in texts:
-                tokens += get_num_tokens_by_gpt2(text)
-            return embeddings, tokens, tokens
-
-    def _create_text_embedding(api_key: str, secret_key: str) -> TextEmbedding:
-        return _MockTextEmbedding()
-
-    embedding_model._create_text_embedding = _create_text_embedding
-    text = mock_text(context_size * 2)
-    assert get_num_tokens_by_gpt2(text) == context_size * 2
-
-    texts = [text]
-    result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test")
-    assert result.usage.tokens == context_size
diff --git a/api/tests/unit_tests/core/prompt/test_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_prompt_transform.py
index 89c14463bb..16896a0c6c 100644
--- a/api/tests/unit_tests/core/prompt/test_prompt_transform.py
+++ b/api/tests/unit_tests/core/prompt/test_prompt_transform.py
@@ -1,52 +1,52 @@
-from unittest.mock import MagicMock
+# from unittest.mock import MagicMock
 
-from core.app.app_config.entities import ModelConfigEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.model_runtime.entities.message_entities import UserPromptMessage
-from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
-from core.model_runtime.entities.provider_entities import ProviderEntity
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.prompt.prompt_transform import PromptTransform
+# from core.app.app_config.entities import ModelConfigEntity
+# from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
+# from core.model_runtime.entities.message_entities import UserPromptMessage
+# from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
+# from core.model_runtime.entities.provider_entities import ProviderEntity
+# from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+# from core.prompt.prompt_transform import PromptTransform
 
 
-def test__calculate_rest_token():
-    model_schema_mock = MagicMock(spec=AIModelEntity)
-    parameter_rule_mock = MagicMock(spec=ParameterRule)
-    parameter_rule_mock.name = "max_tokens"
-    model_schema_mock.parameter_rules = [parameter_rule_mock]
-    model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
+# def test__calculate_rest_token():
+#     model_schema_mock = MagicMock(spec=AIModelEntity)
+#     parameter_rule_mock = MagicMock(spec=ParameterRule)
+#     parameter_rule_mock.name = "max_tokens"
+#     model_schema_mock.parameter_rules = [parameter_rule_mock]
+#     model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
 
-    large_language_model_mock = MagicMock(spec=LargeLanguageModel)
-    large_language_model_mock.get_num_tokens.return_value = 6
+#     large_language_model_mock = MagicMock(spec=LargeLanguageModel)
+#     large_language_model_mock.get_num_tokens.return_value = 6
 
-    provider_mock = MagicMock(spec=ProviderEntity)
-    provider_mock.provider = "openai"
+#     provider_mock = MagicMock(spec=ProviderEntity)
+#     provider_mock.provider = "openai"
 
-    provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
-    provider_configuration_mock.provider = provider_mock
-    provider_configuration_mock.model_settings = None
+#     provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
+#     provider_configuration_mock.provider = provider_mock
+#     provider_configuration_mock.model_settings = None
 
-    provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
-    provider_model_bundle_mock.model_type_instance = large_language_model_mock
-    provider_model_bundle_mock.configuration = provider_configuration_mock
+#     provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
+#     provider_model_bundle_mock.model_type_instance = large_language_model_mock
+#     provider_model_bundle_mock.configuration = provider_configuration_mock
 
-    model_config_mock = MagicMock(spec=ModelConfigEntity)
-    model_config_mock.model = "gpt-4"
-    model_config_mock.credentials = {}
-    model_config_mock.parameters = {"max_tokens": 50}
-    model_config_mock.model_schema = model_schema_mock
-    model_config_mock.provider_model_bundle = provider_model_bundle_mock
+#     model_config_mock = MagicMock(spec=ModelConfigEntity)
+#     model_config_mock.model = "gpt-4"
+#     model_config_mock.credentials = {}
+#     model_config_mock.parameters = {"max_tokens": 50}
+#     model_config_mock.model_schema = model_schema_mock
+#     model_config_mock.provider_model_bundle = provider_model_bundle_mock
 
-    prompt_transform = PromptTransform()
+#     prompt_transform = PromptTransform()
 
-    prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
-    rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
+#     prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
+#     rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
 
-    # Validate based on the mock configuration and expected logic
-    expected_rest_tokens = (
-        model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
-        - model_config_mock.parameters["max_tokens"]
-        - large_language_model_mock.get_num_tokens.return_value
-    )
-    assert rest_tokens == expected_rest_tokens
-    assert rest_tokens == 6
+#     # Validate based on the mock configuration and expected logic
+#     expected_rest_tokens = (
+#         model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
+#         - model_config_mock.parameters["max_tokens"]
+#         - large_language_model_mock.get_num_tokens.return_value
+#     )
+#     assert rest_tokens == expected_rest_tokens
+#     assert rest_tokens == 6
diff --git a/api/tests/unit_tests/core/test_provider_manager.py b/api/tests/unit_tests/core/test_provider_manager.py
index 2f4214a580..90d5a6f15b 100644
--- a/api/tests/unit_tests/core/test_provider_manager.py
+++ b/api/tests/unit_tests/core/test_provider_manager.py
@@ -1,183 +1,190 @@
-from core.entities.provider_entities import ModelSettings
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers import model_provider_factory
-from core.provider_manager import ProviderManager
-from models.provider import LoadBalancingModelConfig, ProviderModelSetting
+# from core.entities.provider_entities import ModelSettings
+# from core.model_runtime.entities.model_entities import ModelType
+# from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+# from core.provider_manager import ProviderManager
+# from models.provider import LoadBalancingModelConfig, ProviderModelSetting
 
 
-def test__to_model_settings(mocker):
-    # Get all provider entities
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=True,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        ),
-        LoadBalancingModelConfig(
-            id="id2",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="first",
-            encrypted_config='{"openai_api_key": "fake_key"}',
-            enabled=True,
-        ),
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=True,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         ),
+#         LoadBalancingModelConfig(
+#             id="id2",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="first",
+#             encrypted_config='{"openai_api_key": "fake_key"}',
+#             enabled=True,
+#         ),
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(provider_entity,
+#  provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 2
-    assert result[0].load_balancing_configs[0].name == "__inherit__"
-    assert result[0].load_balancing_configs[1].name == "first"
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 2
+#     assert result[0].load_balancing_configs[0].name == "__inherit__"
+#     assert result[0].load_balancing_configs[1].name == "first"
 
 
-def test__to_model_settings_only_one_lb(mocker):
-    # Get all provider entities
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings_only_one_lb(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=True,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        )
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=True,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         )
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(
+#     provider_entity, provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 0
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 0
 
 
-def test__to_model_settings_lb_disabled(mocker):
-    # Get all provider entities
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings_lb_disabled(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=False,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        ),
-        LoadBalancingModelConfig(
-            id="id2",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="first",
-            encrypted_config='{"openai_api_key": "fake_key"}',
-            enabled=True,
-        ),
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=False,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         ),
+#         LoadBalancingModelConfig(
+#             id="id2",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="first",
+#             encrypted_config='{"openai_api_key": "fake_key"}',
+#             enabled=True,
+#         ),
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get",
+#  return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(provider_entity,
+# provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 0
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 0
diff --git a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
index 74af5eb56b..5c3e5540c4 100644
--- a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
+++ b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
@@ -3,24 +3,20 @@ from typing import Optional
 
 import pytest
 
-from configs import dify_config
 from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
 from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
 from core.entities.provider_entities import CustomConfiguration, SystemConfiguration
 from core.file import File, FileTransferMethod, FileType
 from core.model_runtime.entities.common_entities import I18nObject
 from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
     ImagePromptMessageContent,
     PromptMessage,
     PromptMessageRole,
-    SystemPromptMessage,
     TextPromptMessageContent,
     UserPromptMessage,
 )
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType
+from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
 from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
-from core.prompt.entities.advanced_prompt_entities import MemoryConfig
 from core.variables import ArrayAnySegment, ArrayFileSegment, NoneSegment
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState
@@ -38,7 +34,6 @@ from core.workflow.nodes.llm.node import LLMNode
 from models.enums import UserFrom
 from models.provider import ProviderType
 from models.workflow import WorkflowType
-from tests.unit_tests.core.workflow.nodes.llm.test_scenarios import LLMNodeTestScenario
 
 
 class MockTokenBufferMemory:
@@ -112,22 +107,21 @@ def llm_node():
 @pytest.fixture
 def model_config():
     # Create actual provider and model type instances
-    model_provider_factory = ModelProviderFactory()
-    provider_instance = model_provider_factory.get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
+    model_provider_factory = ModelProviderFactory(tenant_id="test")
+    provider_instance = model_provider_factory.get_plugin_model_provider("openai")
+    model_type_instance = model_provider_factory.get_model_type_instance("openai", ModelType.LLM)
 
     # Create a ProviderModelBundle
     provider_model_bundle = ProviderModelBundle(
         configuration=ProviderConfiguration(
             tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
+            provider=provider_instance,
             preferred_provider_type=ProviderType.CUSTOM,
             using_provider_type=ProviderType.CUSTOM,
             system_configuration=SystemConfiguration(enabled=False),
             custom_configuration=CustomConfiguration(provider=None),
             model_settings=[],
         ),
-        provider_instance=provider_instance,
         model_type_instance=model_type_instance,
     )
 
@@ -211,236 +205,240 @@ def test_fetch_files_with_non_existent_variable(llm_node):
     assert result == []
 
 
-def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
-    prompt_template = []
-    llm_node.node_data.prompt_template = prompt_template
+# def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
+# TODO: Add test
+# pass
+# prompt_template = []
+# llm_node.node_data.prompt_template = prompt_template
 
-    fake_vision_detail = faker.random_element(
-        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
-    )
-    fake_remote_url = faker.url()
-    files = [
-        File(
-            id="1",
-            tenant_id="test",
-            type=FileType.IMAGE,
-            filename="test1.jpg",
-            transfer_method=FileTransferMethod.REMOTE_URL,
-            remote_url=fake_remote_url,
-            storage_key="",
-        )
-    ]
+# fake_vision_detail = faker.random_element(
+#     [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+# )
+# fake_remote_url = faker.url()
+# files = [
+#     File(
+#         id="1",
+#         tenant_id="test",
+#         type=FileType.IMAGE,
+#         filename="test1.jpg",
+#         transfer_method=FileTransferMethod.REMOTE_URL,
+#         remote_url=fake_remote_url,
+#         storage_key="",
+#     )
+# ]
 
-    fake_query = faker.sentence()
+# fake_query = faker.sentence()
 
-    prompt_messages, _ = llm_node._fetch_prompt_messages(
-        sys_query=fake_query,
-        sys_files=files,
-        context=None,
-        memory=None,
-        model_config=model_config,
-        prompt_template=prompt_template,
-        memory_config=None,
-        vision_enabled=False,
-        vision_detail=fake_vision_detail,
-        variable_pool=llm_node.graph_runtime_state.variable_pool,
-        jinja2_variables=[],
-    )
+# prompt_messages, _ = llm_node._fetch_prompt_messages(
+#     sys_query=fake_query,
+#     sys_files=files,
+#     context=None,
+#     memory=None,
+#     model_config=model_config,
+#     prompt_template=prompt_template,
+#     memory_config=None,
+#     vision_enabled=False,
+#     vision_detail=fake_vision_detail,
+#     variable_pool=llm_node.graph_runtime_state.variable_pool,
+#     jinja2_variables=[],
+# )
 
-    assert prompt_messages == [UserPromptMessage(content=fake_query)]
+# assert prompt_messages == [UserPromptMessage(content=fake_query)]
 
 
-def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
-    # Setup dify config
-    dify_config.MULTIMODAL_SEND_FORMAT = "url"
+# def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
+# TODO: Add test
+# pass
+# Setup dify config
+# dify_config.MULTIMODAL_SEND_FORMAT = "url"
 
-    # Generate fake values for prompt template
-    fake_assistant_prompt = faker.sentence()
-    fake_query = faker.sentence()
-    fake_context = faker.sentence()
-    fake_window_size = faker.random_int(min=1, max=3)
-    fake_vision_detail = faker.random_element(
-        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
-    )
-    fake_remote_url = faker.url()
+# # Generate fake values for prompt template
+# fake_assistant_prompt = faker.sentence()
+# fake_query = faker.sentence()
+# fake_context = faker.sentence()
+# fake_window_size = faker.random_int(min=1, max=3)
+# fake_vision_detail = faker.random_element(
+#     [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+# )
+# fake_remote_url = faker.url()
 
-    # Setup mock memory with history messages
-    mock_history = [
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-    ]
+# # Setup mock memory with history messages
+# mock_history = [
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+# ]
 
-    # Setup memory configuration
-    memory_config = MemoryConfig(
-        role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"),
-        window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size),
-        query_prompt_template=None,
-    )
+# # Setup memory configuration
+# memory_config = MemoryConfig(
+#     role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"),
+#     window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size),
+#     query_prompt_template=None,
+# )
 
-    memory = MockTokenBufferMemory(history_messages=mock_history)
+# memory = MockTokenBufferMemory(history_messages=mock_history)
 
-    # Test scenarios covering different file input combinations
-    test_scenarios = [
-        LLMNodeTestScenario(
-            description="No files",
-            sys_query=fake_query,
-            sys_files=[],
-            features=[],
-            vision_enabled=False,
-            vision_detail=None,
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text=fake_context,
-                    role=PromptMessageRole.SYSTEM,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text="{#context#}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text=fake_assistant_prompt,
-                    role=PromptMessageRole.ASSISTANT,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                SystemPromptMessage(content=fake_context),
-                UserPromptMessage(content=fake_context),
-                AssistantPromptMessage(content=fake_assistant_prompt),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [
-                UserPromptMessage(content=fake_query),
-            ],
-        ),
-        LLMNodeTestScenario(
-            description="User files",
-            sys_query=fake_query,
-            sys_files=[
-                File(
-                    tenant_id="test",
-                    type=FileType.IMAGE,
-                    filename="test1.jpg",
-                    transfer_method=FileTransferMethod.REMOTE_URL,
-                    remote_url=fake_remote_url,
-                    extension=".jpg",
-                    mime_type="image/jpg",
-                    storage_key="",
-                )
-            ],
-            vision_enabled=True,
-            vision_detail=fake_vision_detail,
-            features=[ModelFeature.VISION],
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text=fake_context,
-                    role=PromptMessageRole.SYSTEM,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text="{#context#}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text=fake_assistant_prompt,
-                    role=PromptMessageRole.ASSISTANT,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                SystemPromptMessage(content=fake_context),
-                UserPromptMessage(content=fake_context),
-                AssistantPromptMessage(content=fake_assistant_prompt),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [
-                UserPromptMessage(
-                    content=[
-                        TextPromptMessageContent(data=fake_query),
-                        ImagePromptMessageContent(
-                            url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
-                        ),
-                    ]
-                ),
-            ],
-        ),
-        LLMNodeTestScenario(
-            description="Prompt template with variable selector of File",
-            sys_query=fake_query,
-            sys_files=[],
-            vision_enabled=False,
-            vision_detail=fake_vision_detail,
-            features=[ModelFeature.VISION],
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text="{{#input.image#}}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                UserPromptMessage(
-                    content=[
-                        ImagePromptMessageContent(
-                            url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
-                        ),
-                    ]
-                ),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [UserPromptMessage(content=fake_query)],
-            file_variables={
-                "input.image": File(
-                    tenant_id="test",
-                    type=FileType.IMAGE,
-                    filename="test1.jpg",
-                    transfer_method=FileTransferMethod.REMOTE_URL,
-                    remote_url=fake_remote_url,
-                    extension=".jpg",
-                    mime_type="image/jpg",
-                    storage_key="",
-                )
-            },
-        ),
-    ]
+# # Test scenarios covering different file input combinations
+# test_scenarios = [
+#     LLMNodeTestScenario(
+#         description="No files",
+#         sys_query=fake_query,
+#         sys_files=[],
+#         features=[],
+#         vision_enabled=False,
+#         vision_detail=None,
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text=fake_context,
+#                 role=PromptMessageRole.SYSTEM,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text="{#context#}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text=fake_assistant_prompt,
+#                 role=PromptMessageRole.ASSISTANT,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             SystemPromptMessage(content=fake_context),
+#             UserPromptMessage(content=fake_context),
+#             AssistantPromptMessage(content=fake_assistant_prompt),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [
+#             UserPromptMessage(content=fake_query),
+#         ],
+#     ),
+#     LLMNodeTestScenario(
+#         description="User files",
+#         sys_query=fake_query,
+#         sys_files=[
+#             File(
+#                 tenant_id="test",
+#                 type=FileType.IMAGE,
+#                 filename="test1.jpg",
+#                 transfer_method=FileTransferMethod.REMOTE_URL,
+#                 remote_url=fake_remote_url,
+#                 extension=".jpg",
+#                 mime_type="image/jpg",
+#                 storage_key="",
+#             )
+#         ],
+#         vision_enabled=True,
+#         vision_detail=fake_vision_detail,
+#         features=[ModelFeature.VISION],
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text=fake_context,
+#                 role=PromptMessageRole.SYSTEM,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text="{#context#}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text=fake_assistant_prompt,
+#                 role=PromptMessageRole.ASSISTANT,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             SystemPromptMessage(content=fake_context),
+#             UserPromptMessage(content=fake_context),
+#             AssistantPromptMessage(content=fake_assistant_prompt),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [
+#             UserPromptMessage(
+#                 content=[
+#                     TextPromptMessageContent(data=fake_query),
+#                     ImagePromptMessageContent(
+#                         url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
+#                     ),
+#                 ]
+#             ),
+#         ],
+#     ),
+#     LLMNodeTestScenario(
+#         description="Prompt template with variable selector of File",
+#         sys_query=fake_query,
+#         sys_files=[],
+#         vision_enabled=False,
+#         vision_detail=fake_vision_detail,
+#         features=[ModelFeature.VISION],
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text="{{#input.image#}}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             UserPromptMessage(
+#                 content=[
+#                     ImagePromptMessageContent(
+#                         url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
+#                     ),
+#                 ]
+#             ),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [UserPromptMessage(content=fake_query)],
+#         file_variables={
+#             "input.image": File(
+#                 tenant_id="test",
+#                 type=FileType.IMAGE,
+#                 filename="test1.jpg",
+#                 transfer_method=FileTransferMethod.REMOTE_URL,
+#                 remote_url=fake_remote_url,
+#                 extension=".jpg",
+#                 mime_type="image/jpg",
+#                 storage_key="",
+#             )
+#         },
+#     ),
+# ]
 
-    for scenario in test_scenarios:
-        model_config.model_schema.features = scenario.features
+# for scenario in test_scenarios:
+#     model_config.model_schema.features = scenario.features
 
-        for k, v in scenario.file_variables.items():
-            selector = k.split(".")
-            llm_node.graph_runtime_state.variable_pool.add(selector, v)
+#     for k, v in scenario.file_variables.items():
+#         selector = k.split(".")
+#         llm_node.graph_runtime_state.variable_pool.add(selector, v)
 
-        # Call the method under test
-        prompt_messages, _ = llm_node._fetch_prompt_messages(
-            sys_query=scenario.sys_query,
-            sys_files=scenario.sys_files,
-            context=fake_context,
-            memory=memory,
-            model_config=model_config,
-            prompt_template=scenario.prompt_template,
-            memory_config=memory_config,
-            vision_enabled=scenario.vision_enabled,
-            vision_detail=scenario.vision_detail,
-            variable_pool=llm_node.graph_runtime_state.variable_pool,
-            jinja2_variables=[],
-        )
+#     # Call the method under test
+#     prompt_messages, _ = llm_node._fetch_prompt_messages(
+#         sys_query=scenario.sys_query,
+#         sys_files=scenario.sys_files,
+#         context=fake_context,
+#         memory=memory,
+#         model_config=model_config,
+#         prompt_template=scenario.prompt_template,
+#         memory_config=memory_config,
+#         vision_enabled=scenario.vision_enabled,
+#         vision_detail=scenario.vision_detail,
+#         variable_pool=llm_node.graph_runtime_state.variable_pool,
+#         jinja2_variables=[],
+#     )
 
-        # Verify the result
-        assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
-        assert prompt_messages == scenario.expected_messages, (
-            f"Message content mismatch in scenario: {scenario.description}"
-        )
+# # Verify the result
+# assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
+# assert prompt_messages == scenario.expected_messages, (
+#     f"Message content mismatch in scenario: {scenario.description}"
+# )
 
 
 def test_handle_list_messages_basic(llm_node):
diff --git a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py
index 2d74be9da9..ed35d8a32a 100644
--- a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py
+++ b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py
@@ -126,7 +126,7 @@ class ContinueOnErrorTestHelper:
             },
         }
         if default_value:
-            node["data"]["default_value"] = default_value
+            node.node_data.default_value = default_value
         return node
 
     @staticmethod
@@ -331,55 +331,55 @@ def test_http_node_fail_branch_continue_on_error():
     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
-def test_tool_node_default_value_continue_on_error():
-    """Test tool node with default value error strategy"""
-    graph_config = {
-        "edges": DEFAULT_VALUE_EDGE,
-        "nodes": [
-            {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"},
-            {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"},
-            ContinueOnErrorTestHelper.get_tool_node(
-                "default-value", [{"key": "result", "type": "string", "value": "default tool result"}]
-            ),
-        ],
-    }
+# def test_tool_node_default_value_continue_on_error():
+#     """Test tool node with default value error strategy"""
+#     graph_config = {
+#         "edges": DEFAULT_VALUE_EDGE,
+#         "nodes": [
+#             {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"},
+#             {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"},
+#             ContinueOnErrorTestHelper.get_tool_node(
+#                 "default-value", [{"key": "result", "type": "string", "value": "default tool result"}]
+#             ),
+#         ],
+#     }
 
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
+#     graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
+#     events = list(graph_engine.run())
 
-    assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
-    assert any(
-        isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events
-    )
-    assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
+#     assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
+#     assert any(
+#         isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events  # noqa: E501
+#     )
+#     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
-def test_tool_node_fail_branch_continue_on_error():
-    """Test HTTP node with fail-branch error strategy"""
-    graph_config = {
-        "edges": FAIL_BRANCH_EDGES,
-        "nodes": [
-            {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"},
-            {
-                "data": {"title": "success", "type": "answer", "answer": "tool execute successful"},
-                "id": "success",
-            },
-            {
-                "data": {"title": "error", "type": "answer", "answer": "tool execute failed"},
-                "id": "error",
-            },
-            ContinueOnErrorTestHelper.get_tool_node(),
-        ],
-    }
+# def test_tool_node_fail_branch_continue_on_error():
+#     """Test HTTP node with fail-branch error strategy"""
+#     graph_config = {
+#         "edges": FAIL_BRANCH_EDGES,
+#         "nodes": [
+#             {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"},
+#             {
+#                 "data": {"title": "success", "type": "answer", "answer": "tool execute successful"},
+#                 "id": "success",
+#             },
+#             {
+#                 "data": {"title": "error", "type": "answer", "answer": "tool execute failed"},
+#                 "id": "error",
+#             },
+#             ContinueOnErrorTestHelper.get_tool_node(),
+#         ],
+#     }
 
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
+#     graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
+#     events = list(graph_engine.run())
 
-    assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
-    assert any(
-        isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events
-    )
-    assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
+#     assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
+#     assert any(
+#         isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events  # noqa: E501
+#     )
+#     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
 def test_llm_node_default_value_continue_on_error():
diff --git a/dev/pytest/pytest_config_tests.py b/dev/pytest/pytest_config_tests.py
index 08adc9ebe9..63d0cbaf3a 100644
--- a/dev/pytest/pytest_config_tests.py
+++ b/dev/pytest/pytest_config_tests.py
@@ -10,6 +10,8 @@ BASE_API_AND_DOCKER_CONFIG_SET_DIFF = {
     "HTTP_REQUEST_MAX_CONNECT_TIMEOUT",
     "HTTP_REQUEST_MAX_READ_TIMEOUT",
     "HTTP_REQUEST_MAX_WRITE_TIMEOUT",
+    "INNER_API_KEY",
+    "INNER_API_KEY_FOR_PLUGIN",
     "KEYWORD_DATA_SOURCE_TYPE",
     "LOGIN_LOCKOUT_DURATION",
     "LOG_FORMAT",
@@ -18,6 +20,10 @@ BASE_API_AND_DOCKER_CONFIG_SET_DIFF = {
     "OCI_ENDPOINT",
     "OCI_REGION",
     "OCI_SECRET_KEY",
+    "PLUGIN_DAEMON_KEY",
+    "PLUGIN_DAEMON_URL",
+    "PLUGIN_REMOTE_INSTALL_HOST",
+    "PLUGIN_REMOTE_INSTALL_PORT",
     "REDIS_DB",
     "RESEND_API_URL",
     "RESPECT_XFORWARD_HEADERS_ENABLED",
@@ -40,6 +46,8 @@ BASE_API_AND_DOCKER_COMPOSE_CONFIG_SET_DIFF = {
     "HTTP_REQUEST_MAX_CONNECT_TIMEOUT",
     "HTTP_REQUEST_MAX_READ_TIMEOUT",
     "HTTP_REQUEST_MAX_WRITE_TIMEOUT",
+    "INNER_API_KEY",
+    "INNER_API_KEY_FOR_PLUGIN",
     "KEYWORD_DATA_SOURCE_TYPE",
     "LOGIN_LOCKOUT_DURATION",
     "LOG_FORMAT",
@@ -58,6 +66,10 @@ BASE_API_AND_DOCKER_COMPOSE_CONFIG_SET_DIFF = {
     "PGVECTO_RS_PASSWORD",
     "PGVECTO_RS_PORT",
     "PGVECTO_RS_USER",
+    "PLUGIN_DAEMON_KEY",
+    "PLUGIN_DAEMON_URL",
+    "PLUGIN_REMOTE_INSTALL_HOST",
+    "PLUGIN_REMOTE_INSTALL_PORT",
     "RESPECT_XFORWARD_HEADERS_ENABLED",
     "SCARF_NO_ANALYTICS",
     "SSRF_DEFAULT_CONNECT_TIME_OUT",
diff --git a/docker-legacy/docker-compose.chroma.yaml b/docker-legacy/docker-compose.chroma.yaml
deleted file mode 100644
index 63354305de..0000000000
--- a/docker-legacy/docker-compose.chroma.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-services:
-  # Chroma vector store.
-  chroma:
-    image: ghcr.io/chroma-core/chroma:0.5.20
-    restart: always
-    volumes:
-      - ./volumes/chroma:/chroma/chroma
-    environment:
-      CHROMA_SERVER_AUTHN_CREDENTIALS: difyai123456
-      CHROMA_SERVER_AUTHN_PROVIDER: chromadb.auth.token_authn.TokenAuthenticationServerProvider
-      IS_PERSISTENT: TRUE
-    ports:
-      - "8000:8000"
diff --git a/docker-legacy/docker-compose.middleware.yaml b/docker-legacy/docker-compose.middleware.yaml
deleted file mode 100644
index da54fe33fd..0000000000
--- a/docker-legacy/docker-compose.middleware.yaml
+++ /dev/null
@@ -1,109 +0,0 @@
-version: '3'
-services:
-  # The postgres database.
-  db:
-    image: postgres:15-alpine
-    restart: always
-    environment:
-      # The password for the default postgres user.
-      POSTGRES_PASSWORD: difyai123456
-      # The name of the default postgres database.
-      POSTGRES_DB: dify
-      # postgres data directory
-      PGDATA: /var/lib/postgresql/data/pgdata
-    volumes:
-      - ./volumes/db/data:/var/lib/postgresql/data
-    ports:
-      - "5432:5432"
-
-  # The redis cache.
-  redis:
-    image: redis:6-alpine
-    restart: always
-    volumes:
-      # Mount the redis data directory to the container.
-      - ./volumes/redis/data:/data
-    # Set the redis password when startup redis server.
-    command: redis-server --requirepass difyai123456
-    ports:
-      - "6379:6379"
-
-  # The Weaviate vector store.
-  weaviate:
-    image: semitechnologies/weaviate:1.19.0
-    restart: always
-    volumes:
-      # Mount the Weaviate data directory to the container.
-      - ./volumes/weaviate:/var/lib/weaviate
-    environment:
-      # The Weaviate configurations
-      # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars) documentation for more information.
-      QUERY_DEFAULTS_LIMIT: 25
-      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
-      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
-      DEFAULT_VECTORIZER_MODULE: 'none'
-      CLUSTER_HOSTNAME: 'node1'
-      AUTHENTICATION_APIKEY_ENABLED: 'true'
-      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
-      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
-      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
-      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
-    ports:
-      - "8080:8080"
-
-  # The DifySandbox
-  sandbox:
-    image: langgenius/dify-sandbox:0.2.1
-    restart: always
-    environment:
-      # The DifySandbox configurations
-      # Make sure you are changing this key for your deployment with a strong key.
-      # You can generate a strong key using `openssl rand -base64 42`.
-      API_KEY: dify-sandbox
-      GIN_MODE: 'release'
-      WORKER_TIMEOUT: 15
-      ENABLE_NETWORK: 'true'
-      HTTP_PROXY: 'http://ssrf_proxy:3128'
-      HTTPS_PROXY: 'http://ssrf_proxy:3128'
-      SANDBOX_PORT: 8194
-    volumes:
-      - ./volumes/sandbox/dependencies:/dependencies
-    networks:
-      - ssrf_proxy_network
-
-  # ssrf_proxy server
-  # for more information, please refer to
-  # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed
-  ssrf_proxy:
-    image: ubuntu/squid:latest
-    restart: always
-    ports:
-      - "3128:3128"
-      - "8194:8194"
-    volumes:
-      # pls clearly modify the squid.conf file to fit your network environment.
-      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
-    networks:
-      - ssrf_proxy_network
-      - default
-  # Qdrant vector store.
-  # uncomment to use qdrant as vector store.
-  # (if uncommented, you need to comment out the weaviate service above,
-  # and set VECTOR_STORE to qdrant in the api & worker service.)
-  # qdrant:
-  #   image: qdrant/qdrant:1.7.3
-  #   restart: always
-  #   volumes:
-  #     - ./volumes/qdrant:/qdrant/storage
-  #   environment:
-  #     QDRANT_API_KEY: 'difyai123456'
-  #   ports:
-  #     - "6333:6333"
-  #     - "6334:6334"
-
-
-networks:
-  # create a network between sandbox, api and ssrf_proxy, and can not access outside.
-  ssrf_proxy_network:
-    driver: bridge
-    internal: true
diff --git a/docker-legacy/docker-compose.milvus.yaml b/docker-legacy/docker-compose.milvus.yaml
deleted file mode 100644
index f4a7afa3a1..0000000000
--- a/docker-legacy/docker-compose.milvus.yaml
+++ /dev/null
@@ -1,64 +0,0 @@
-version: '3.5'
-
-services:
-  etcd:
-    container_name: milvus-etcd
-    image: quay.io/coreos/etcd:v3.5.5
-    environment:
-      - ETCD_AUTO_COMPACTION_MODE=revision
-      - ETCD_AUTO_COMPACTION_RETENTION=1000
-      - ETCD_QUOTA_BACKEND_BYTES=4294967296
-      - ETCD_SNAPSHOT_COUNT=50000
-    volumes:
-      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/etcd:/etcd
-    command: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcd
-    healthcheck:
-      test: ["CMD", "etcdctl", "endpoint", "health"]
-      interval: 30s
-      timeout: 20s
-      retries: 3
-
-  minio:
-    container_name: milvus-minio
-    image: minio/minio:RELEASE.2023-03-20T20-16-18Z
-    environment:
-      MINIO_ACCESS_KEY: minioadmin
-      MINIO_SECRET_KEY: minioadmin
-    ports:
-      - "9001:9001"
-      - "9000:9000"
-    volumes:
-      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data
-    command: minio server /minio_data --console-address ":9001"
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
-      interval: 30s
-      timeout: 20s
-      retries: 3
-
-  milvus-standalone:
-    container_name: milvus-standalone
-    image: milvusdb/milvus:v2.4.6
-    command: ["milvus", "run", "standalone"]
-    environment:
-      ETCD_ENDPOINTS: etcd:2379
-      MINIO_ADDRESS: minio:9000
-      common.security.authorizationEnabled: true
-    volumes:
-      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/milvus:/var/lib/milvus
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:9091/healthz"]
-      interval: 30s
-      start_period: 90s
-      timeout: 20s
-      retries: 3
-    ports:
-      - "19530:19530"
-      - "9091:9091"
-    depends_on:
-      - "etcd"
-      - "minio"
-
-networks:
-  default:
-    name: milvus
diff --git a/docker-legacy/docker-compose.opensearch.yml b/docker-legacy/docker-compose.opensearch.yml
deleted file mode 100644
index ce72033180..0000000000
--- a/docker-legacy/docker-compose.opensearch.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-services:
-  opensearch: # This is also the hostname of the container within the Docker network (i.e. https://opensearch/)
-    image: opensearchproject/opensearch:latest # Specifying the latest available image - modify if you want a specific version
-    container_name: opensearch
-    environment:
-      - discovery.type=single-node
-      - bootstrap.memory_lock=true # Disable JVM heap memory swapping
-      - "OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx1024m" # Set min and max JVM heap sizes to at least 50% of system RAM
-      - OPENSEARCH_INITIAL_ADMIN_PASSWORD=Qazwsxedc!@#123    # Sets the demo admin user password when using demo configuration, required for OpenSearch 2.12 and later
-    ulimits:
-      memlock:
-        soft: -1 # Set memlock to unlimited (no soft or hard limit)
-        hard: -1
-      nofile:
-        soft: 65536 # Maximum number of open files for the opensearch user - set to at least 65536
-        hard: 65536
-    volumes:
-      - ./volumes/opensearch/data:/usr/share/opensearch/data # Creates volume called opensearch-data1 and mounts it to the container
-    ports:
-      - 9200:9200 # REST API
-      - 9600:9600 # Performance Analyzer
-    networks:
-      - opensearch-net # All of the containers will join the same Docker bridge network
-  opensearch-dashboards:
-    image: opensearchproject/opensearch-dashboards:latest # Make sure the version of opensearch-dashboards matches the version of opensearch installed on other nodes
-    container_name: opensearch-dashboards
-    ports:
-      - 5601:5601 # Map host port 5601 to container port 5601
-    expose:
-      - "5601" # Expose port 5601 for web access to OpenSearch Dashboards
-    environment:
-      OPENSEARCH_HOSTS: '["https://opensearch:9200"]' # Define the OpenSearch nodes that OpenSearch Dashboards will query
-    volumes:
-      - ./volumes/opensearch/opensearch_dashboards.yml:/usr/share/opensearch-dashboards/config/opensearch_dashboards.yml
-    networks:
-      - opensearch-net
-
-networks:
-  opensearch-net:
-    driver: bridge
diff --git a/docker-legacy/docker-compose.oracle.yaml b/docker-legacy/docker-compose.oracle.yaml
deleted file mode 100644
index a10d2556b3..0000000000
--- a/docker-legacy/docker-compose.oracle.yaml
+++ /dev/null
@@ -1,17 +0,0 @@
-services:
-  # oracle 23 ai vector store.
-  oracle:
-    image: container-registry.oracle.com/database/free:latest
-    restart: always
-    ports:
-      - 1521:1521
-    volumes:
-      - type: volume
-        source: oradata_vector
-        target: /opt/oracle/oradata
-      - ./startupscripts:/opt/oracle/scripts/startup
-    environment:
-      - ORACLE_PWD=Dify123456
-      - ORACLE_CHARACTERSET=AL32UTF8
-volumes:
-  oradata_vector:
diff --git a/docker-legacy/docker-compose.pgvecto-rs.yaml b/docker-legacy/docker-compose.pgvecto-rs.yaml
deleted file mode 100644
index e383b75a83..0000000000
--- a/docker-legacy/docker-compose.pgvecto-rs.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-services:
-  # The pgvecto—rs database.
-  pgvecto-rs:
-    image: tensorchord/pgvecto-rs:pg16-v0.2.0
-    restart: always
-    environment:
-      PGUSER: postgres
-      # The password for the default postgres user.
-      POSTGRES_PASSWORD: difyai123456
-      # The name of the default postgres database.
-      POSTGRES_DB: dify
-      # postgres data directory
-      PGDATA: /var/lib/postgresql/data/pgdata
-    volumes:
-      - ./volumes/pgvectors/data:/var/lib/postgresql/data
-    # uncomment to expose db(postgresql) port to host
-    ports:
-      - "5431:5432"
-    healthcheck:
-      test: [ "CMD", "pg_isready" ]
-      interval: 1s
-      timeout: 3s
-      retries: 30
diff --git a/docker-legacy/docker-compose.pgvector.yaml b/docker-legacy/docker-compose.pgvector.yaml
deleted file mode 100644
index fce1cf9043..0000000000
--- a/docker-legacy/docker-compose.pgvector.yaml
+++ /dev/null
@@ -1,23 +0,0 @@
-services:
-  # Qdrant vector store.
-  pgvector:
-    image: pgvector/pgvector:pg16
-    restart: always
-    environment:
-      PGUSER: postgres
-      # The password for the default postgres user.
-      POSTGRES_PASSWORD: difyai123456
-      # The name of the default postgres database.
-      POSTGRES_DB: dify
-      # postgres data directory
-      PGDATA: /var/lib/postgresql/data/pgdata
-    volumes:
-      - ./volumes/pgvector/data:/var/lib/postgresql/data
-    # uncomment to expose db(postgresql) port to host
-    ports:
-      - "5433:5432"
-    healthcheck:
-      test: [ "CMD", "pg_isready" ]
-      interval: 1s
-      timeout: 3s
-      retries: 30
diff --git a/docker-legacy/docker-compose.png b/docker-legacy/docker-compose.png
deleted file mode 100644
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diff --git a/docker-legacy/docker-compose.qdrant.yaml b/docker-legacy/docker-compose.qdrant.yaml
deleted file mode 100644
index 8e59287b28..0000000000
--- a/docker-legacy/docker-compose.qdrant.yaml
+++ /dev/null
@@ -1,12 +0,0 @@
-services:
-  # Qdrant vector store.
-  qdrant:
-    image: langgenius/qdrant:v1.7.3
-    restart: always
-    volumes:
-      - ./volumes/qdrant:/qdrant/storage
-    environment:
-      QDRANT_API_KEY: 'difyai123456'
-    ports:
-      - "6333:6333"
-      - "6334:6334"
diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml
deleted file mode 100644
index 0a071e80b3..0000000000
--- a/docker-legacy/docker-compose.yaml
+++ /dev/null
@@ -1,597 +0,0 @@
-version: '3'
-services:
-  # API service
-  api:
-    image: langgenius/dify-api:0.15.3
-    restart: always
-    environment:
-      # Startup mode, 'api' starts the API server.
-      MODE: api
-      # The log level for the application. Supported values are `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`
-      LOG_LEVEL: INFO
-      # enable DEBUG mode to output more logs
-      # DEBUG : true
-      # A secret key that is used for securely signing the session cookie and encrypting sensitive information on the database. You can generate a strong key using `openssl rand -base64 42`.
-      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
-      # The base URL of console application web frontend, refers to the Console base URL of WEB service if console domain is
-      # different from api or web app domain.
-      # example: http://cloud.dify.ai
-      CONSOLE_WEB_URL: ''
-      # Password for admin user initialization.
-      # If left unset, admin user will not be prompted for a password when creating the initial admin account.
-      INIT_PASSWORD: ''
-      # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
-      # different from api or web app domain.
-      # example: http://cloud.dify.ai
-      CONSOLE_API_URL: ''
-      # The URL prefix for Service API endpoints, refers to the base URL of the current API service if api domain is
-      # different from console domain.
-      # example: http://api.dify.ai
-      SERVICE_API_URL: ''
-      # The URL prefix for Web APP frontend, refers to the Web App base URL of WEB service if web app domain is different from
-      # console or api domain.
-      # example: http://udify.app
-      APP_WEB_URL: ''
-      # File preview or download Url prefix.
-      # used to display File preview or download Url to the front-end or as Multi-model inputs;
-      # Url is signed and has expiration time.
-      FILES_URL: ''
-      # File Access Time specifies a time interval in seconds for the file to be accessed.
-      # The default value is 300 seconds.
-      FILES_ACCESS_TIMEOUT: 300
-      # The maximum number of active requests for the application, where 0 means unlimited, should be a non-negative integer.
-      APP_MAX_ACTIVE_REQUESTS: 0
-      # When enabled, migrations will be executed prior to application startup and the application will start after the migrations have completed.
-      MIGRATION_ENABLED: 'true'
-      # The configurations of postgres database connection.
-      # It is consistent with the configuration in the 'db' service below.
-      DB_USERNAME: postgres
-      DB_PASSWORD: difyai123456
-      DB_HOST: db
-      DB_PORT: 5432
-      DB_DATABASE: dify
-      # The configurations of redis connection.
-      # It is consistent with the configuration in the 'redis' service below.
-      REDIS_HOST: redis
-      REDIS_PORT: 6379
-      REDIS_USERNAME: ''
-      REDIS_PASSWORD: difyai123456
-      REDIS_USE_SSL: 'false'
-      # use redis db 0 for redis cache
-      REDIS_DB: 0
-      # The configurations of celery broker.
-      # Use redis as the broker, and redis db 1 for celery broker.
-      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
-      # Specifies the allowed origins for cross-origin requests to the Web API, e.g. https://dify.app or * for all origins.
-      WEB_API_CORS_ALLOW_ORIGINS: '*'
-      # Specifies the allowed origins for cross-origin requests to the console API, e.g. https://cloud.dify.ai or * for all origins.
-      CONSOLE_CORS_ALLOW_ORIGINS: '*'
-      # CSRF Cookie settings
-      # Controls whether a cookie is sent with cross-site requests,
-      # providing some protection against cross-site request forgery attacks
-      #
-      # Default: `SameSite=Lax, Secure=false, HttpOnly=true`
-      # This default configuration supports same-origin requests using either HTTP or HTTPS,
-      # but does not support cross-origin requests. It is suitable for local debugging purposes.
-      #
-      # If you want to enable cross-origin support,
-      # you must use the HTTPS protocol and set the configuration to `SameSite=None, Secure=true, HttpOnly=true`.
-      #
-      # The type of storage to use for storing user files. Supported values are `local` and `s3` and `azure-blob` and `google-storage`, Default: `local`
-      STORAGE_TYPE: local
-      # The path to the local storage directory, the directory relative the root path of API service codes or absolute path. Default: `storage` or `/home/john/storage`.
-      # only available when STORAGE_TYPE is `local`.
-      STORAGE_LOCAL_PATH: storage
-      # The S3 storage configurations, only available when STORAGE_TYPE is `s3`.
-      S3_USE_AWS_MANAGED_IAM: 'false'
-      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
-      S3_BUCKET_NAME: 'difyai'
-      S3_ACCESS_KEY: 'ak-difyai'
-      S3_SECRET_KEY: 'sk-difyai'
-      S3_REGION: 'us-east-1'
-      # The Azure Blob storage configurations, only available when STORAGE_TYPE is `azure-blob`.
-      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
-      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
-      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
-      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
-      # The Google storage configurations, only available when STORAGE_TYPE is `google-storage`.
-      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
-      # if you want to use Application Default Credentials, you can leave GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 empty.
-      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
-      # The Alibaba Cloud OSS configurations, only available when STORAGE_TYPE is `aliyun-oss`
-      ALIYUN_OSS_BUCKET_NAME: 'your-bucket-name'
-      ALIYUN_OSS_ACCESS_KEY: 'your-access-key'
-      ALIYUN_OSS_SECRET_KEY: 'your-secret-key'
-      ALIYUN_OSS_ENDPOINT: 'https://oss-ap-southeast-1-internal.aliyuncs.com'
-      ALIYUN_OSS_REGION: 'ap-southeast-1'
-      ALIYUN_OSS_AUTH_VERSION: 'v4'
-      # The Tencent COS storage configurations, only available when STORAGE_TYPE is `tencent-cos`.
-      TENCENT_COS_BUCKET_NAME: 'your-bucket-name'
-      TENCENT_COS_SECRET_KEY: 'your-secret-key'
-      TENCENT_COS_SECRET_ID: 'your-secret-id'
-      TENCENT_COS_REGION: 'your-region'
-      TENCENT_COS_SCHEME: 'your-scheme'
-      # The type of vector store to use. Supported values are `weaviate`, `qdrant`, `milvus`, `relyt`,`pgvector`, `chroma`, 'opensearch', 'tidb_vector'.
-      VECTOR_STORE: weaviate
-      # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`.
-      WEAVIATE_ENDPOINT: http://weaviate:8080
-      # The Weaviate API key.
-      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
-      # The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`.
-      QDRANT_URL: http://qdrant:6333
-      # The Qdrant API key.
-      QDRANT_API_KEY: difyai123456
-      # The Qdrant client timeout setting.
-      QDRANT_CLIENT_TIMEOUT: 20
-      # The Qdrant client enable gRPC mode.
-      QDRANT_GRPC_ENABLED: 'false'
-      # The Qdrant server gRPC mode PORT.
-      QDRANT_GRPC_PORT: 6334
-      # Milvus configuration Only available when VECTOR_STORE is `milvus`.
-      # The milvus uri.
-      MILVUS_URI: http://127.0.0.1:19530
-      # The milvus token.
-      MILVUS_TOKEN: ''
-      # The milvus username.
-      MILVUS_USER: root
-      # The milvus password.
-      MILVUS_PASSWORD: Milvus
-      # relyt configurations
-      RELYT_HOST: db
-      RELYT_PORT: 5432
-      RELYT_USER: postgres
-      RELYT_PASSWORD: difyai123456
-      RELYT_DATABASE: postgres
-      # pgvector configurations
-      PGVECTOR_HOST: pgvector
-      PGVECTOR_PORT: 5432
-      PGVECTOR_USER: postgres
-      PGVECTOR_PASSWORD: difyai123456
-      PGVECTOR_DATABASE: dify
-      # tidb vector configurations
-      TIDB_VECTOR_HOST: tidb
-      TIDB_VECTOR_PORT: 4000
-      TIDB_VECTOR_USER: xxx.root
-      TIDB_VECTOR_PASSWORD: xxxxxx
-      TIDB_VECTOR_DATABASE: dify
-      # oracle configurations
-      ORACLE_HOST: oracle
-      ORACLE_PORT: 1521
-      ORACLE_USER: dify
-      ORACLE_PASSWORD: dify
-      ORACLE_DATABASE: FREEPDB1
-      # Chroma configuration
-      CHROMA_HOST: 127.0.0.1
-      CHROMA_PORT: 8000
-      CHROMA_TENANT: default_tenant
-      CHROMA_DATABASE: default_database
-      CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider
-      CHROMA_AUTH_CREDENTIALS: xxxxxx
-      # ElasticSearch Config
-      ELASTICSEARCH_HOST: 127.0.0.1
-      ELASTICSEARCH_PORT: 9200
-      ELASTICSEARCH_USERNAME: elastic
-      ELASTICSEARCH_PASSWORD: elastic
-      # Mail configuration, support: resend, smtp
-      MAIL_TYPE: ''
-      # default send from email address, if not specified
-      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
-      SMTP_SERVER: ''
-      SMTP_PORT: 465
-      SMTP_USERNAME: ''
-      SMTP_PASSWORD: ''
-      SMTP_USE_TLS: 'true'
-      SMTP_OPPORTUNISTIC_TLS: 'false'
-      # the api-key for resend (https://resend.com)
-      RESEND_API_KEY: ''
-      RESEND_API_URL: https://api.resend.com
-      # The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled.
-      SENTRY_DSN: ''
-      # The sample rate for Sentry events. Default: `1.0`
-      SENTRY_TRACES_SAMPLE_RATE: 1.0
-      # The sample rate for Sentry profiles. Default: `1.0`
-      SENTRY_PROFILES_SAMPLE_RATE: 1.0
-      # Notion import configuration, support public and internal
-      NOTION_INTEGRATION_TYPE: public
-      NOTION_CLIENT_SECRET: you-client-secret
-      NOTION_CLIENT_ID: you-client-id
-      NOTION_INTERNAL_SECRET: you-internal-secret
-      # The sandbox service endpoint.
-      CODE_EXECUTION_ENDPOINT: "http://sandbox:8194"
-      CODE_EXECUTION_API_KEY: dify-sandbox
-      CODE_MAX_NUMBER: 9223372036854775807
-      CODE_MIN_NUMBER: -9223372036854775808
-      CODE_MAX_STRING_LENGTH: 80000
-      TEMPLATE_TRANSFORM_MAX_LENGTH: 80000
-      CODE_MAX_STRING_ARRAY_LENGTH: 30
-      CODE_MAX_OBJECT_ARRAY_LENGTH: 30
-      CODE_MAX_NUMBER_ARRAY_LENGTH: 1000
-      # SSRF Proxy server
-      SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128'
-      SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128'
-      # Indexing configuration
-      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 4000
-    depends_on:
-      - db
-      - redis
-    volumes:
-      # Mount the storage directory to the container, for storing user files.
-      - ./volumes/app/storage:/app/api/storage
-    # uncomment to expose dify-api port to host
-    # ports:
-    #   - "5001:5001"
-    networks:
-      - ssrf_proxy_network
-      - default
-
-  # worker service
-  # The Celery worker for processing the queue.
-  worker:
-    image: langgenius/dify-api:0.15.3
-    restart: always
-    environment:
-      CONSOLE_WEB_URL: ''
-      # Startup mode, 'worker' starts the Celery worker for processing the queue.
-      MODE: worker
-
-      # --- All the configurations below are the same as those in the 'api' service. ---
-
-      # The log level for the application. Supported values are `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`
-      LOG_LEVEL: INFO
-      # A secret key that is used for securely signing the session cookie and encrypting sensitive information on the database. You can generate a strong key using `openssl rand -base64 42`.
-      # same as the API service
-      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
-      # The configurations of postgres database connection.
-      # It is consistent with the configuration in the 'db' service below.
-      DB_USERNAME: postgres
-      DB_PASSWORD: difyai123456
-      DB_HOST: db
-      DB_PORT: 5432
-      DB_DATABASE: dify
-      # The configurations of redis cache connection.
-      REDIS_HOST: redis
-      REDIS_PORT: 6379
-      REDIS_USERNAME: ''
-      REDIS_PASSWORD: difyai123456
-      REDIS_DB: 0
-      REDIS_USE_SSL: 'false'
-      # The configurations of celery broker.
-      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
-      # The type of storage to use for storing user files. Supported values are `local` and `s3` and `azure-blob` and `google-storage`, Default: `local`
-      STORAGE_TYPE: local
-      STORAGE_LOCAL_PATH: storage
-      # The S3 storage configurations, only available when STORAGE_TYPE is `s3`.
-      S3_USE_AWS_MANAGED_IAM: 'false'
-      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
-      S3_BUCKET_NAME: 'difyai'
-      S3_ACCESS_KEY: 'ak-difyai'
-      S3_SECRET_KEY: 'sk-difyai'
-      S3_REGION: 'us-east-1'
-      # The Azure Blob storage configurations, only available when STORAGE_TYPE is `azure-blob`.
-      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
-      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
-      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
-      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
-      # The Google storage configurations, only available when STORAGE_TYPE is `google-storage`.
-      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
-      # if you want to use Application Default Credentials, you can leave GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 empty.
-      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
-      # The Alibaba Cloud OSS configurations, only available when STORAGE_TYPE is `aliyun-oss`
-      ALIYUN_OSS_BUCKET_NAME: 'your-bucket-name'
-      ALIYUN_OSS_ACCESS_KEY: 'your-access-key'
-      ALIYUN_OSS_SECRET_KEY: 'your-secret-key'
-      ALIYUN_OSS_ENDPOINT: 'https://oss-ap-southeast-1-internal.aliyuncs.com'
-      ALIYUN_OSS_REGION: 'ap-southeast-1'
-      ALIYUN_OSS_AUTH_VERSION: 'v4'
-      # The Tencent COS storage configurations, only available when STORAGE_TYPE is `tencent-cos`.
-      TENCENT_COS_BUCKET_NAME: 'your-bucket-name'
-      TENCENT_COS_SECRET_KEY: 'your-secret-key'
-      TENCENT_COS_SECRET_ID: 'your-secret-id'
-      TENCENT_COS_REGION: 'your-region'
-      TENCENT_COS_SCHEME: 'your-scheme'
-      # The type of vector store to use. Supported values are `weaviate`, `qdrant`, `milvus`, `relyt`, `pgvector`, `chroma`, 'opensearch', 'tidb_vector'.
-      VECTOR_STORE: weaviate
-      # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`.
-      WEAVIATE_ENDPOINT: http://weaviate:8080
-      # The Weaviate API key.
-      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
-      # The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`.
-      QDRANT_URL: http://qdrant:6333
-      # The Qdrant API key.
-      QDRANT_API_KEY: difyai123456
-      # The Qdrant client timeout setting.
-      QDRANT_CLIENT_TIMEOUT: 20
-      # The Qdrant client enable gRPC mode.
-      QDRANT_GRPC_ENABLED: 'false'
-      # The Qdrant server gRPC mode PORT.
-      QDRANT_GRPC_PORT: 6334
-      # Milvus configuration Only available when VECTOR_STORE is `milvus`.
-      # The milvus uri.
-      MILVUS_URI: http://127.0.0.1:19530
-      # The milvus token.
-      MILVUS_PORT: ''
-      # The milvus username.
-      MILVUS_USER: root
-      # The milvus password.
-      MILVUS_PASSWORD: Milvus
-      # Mail configuration, support: resend
-      MAIL_TYPE: ''
-      # default send from email address, if not specified
-      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
-      SMTP_SERVER: ''
-      SMTP_PORT: 465
-      SMTP_USERNAME: ''
-      SMTP_PASSWORD: ''
-      SMTP_USE_TLS: 'true'
-      SMTP_OPPORTUNISTIC_TLS: 'false'
-      # the api-key for resend (https://resend.com)
-      RESEND_API_KEY: ''
-      RESEND_API_URL: https://api.resend.com
-      # relyt configurations
-      RELYT_HOST: db
-      RELYT_PORT: 5432
-      RELYT_USER: postgres
-      RELYT_PASSWORD: difyai123456
-      RELYT_DATABASE: postgres
-      # tencent configurations
-      TENCENT_VECTOR_DB_URL: http://127.0.0.1
-      TENCENT_VECTOR_DB_API_KEY: dify
-      TENCENT_VECTOR_DB_TIMEOUT: 30
-      TENCENT_VECTOR_DB_USERNAME: dify
-      TENCENT_VECTOR_DB_DATABASE: dify
-      TENCENT_VECTOR_DB_SHARD: 1
-      TENCENT_VECTOR_DB_REPLICAS: 2
-      # OpenSearch configuration
-      OPENSEARCH_HOST: 127.0.0.1
-      OPENSEARCH_PORT: 9200
-      OPENSEARCH_USER: admin
-      OPENSEARCH_PASSWORD: admin
-      OPENSEARCH_SECURE: 'true'
-      # pgvector configurations
-      PGVECTOR_HOST: pgvector
-      PGVECTOR_PORT: 5432
-      PGVECTOR_USER: postgres
-      PGVECTOR_PASSWORD: difyai123456
-      PGVECTOR_DATABASE: dify
-      # tidb vector configurations
-      TIDB_VECTOR_HOST: tidb
-      TIDB_VECTOR_PORT: 4000
-      TIDB_VECTOR_USER: xxx.root
-      TIDB_VECTOR_PASSWORD: xxxxxx
-      TIDB_VECTOR_DATABASE: dify
-      # oracle configurations
-      ORACLE_HOST: oracle
-      ORACLE_PORT: 1521
-      ORACLE_USER: dify
-      ORACLE_PASSWORD: dify
-      ORACLE_DATABASE: FREEPDB1
-      # Chroma configuration
-      CHROMA_HOST: 127.0.0.1
-      CHROMA_PORT: 8000
-      CHROMA_TENANT: default_tenant
-      CHROMA_DATABASE: default_database
-      CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider
-      CHROMA_AUTH_CREDENTIALS: xxxxxx
-      # ElasticSearch Config
-      ELASTICSEARCH_HOST: 127.0.0.1
-      ELASTICSEARCH_PORT: 9200
-      ELASTICSEARCH_USERNAME: elastic
-      ELASTICSEARCH_PASSWORD: elastic
-      # Notion import configuration, support public and internal
-      NOTION_INTEGRATION_TYPE: public
-      NOTION_CLIENT_SECRET: you-client-secret
-      NOTION_CLIENT_ID: you-client-id
-      NOTION_INTERNAL_SECRET: you-internal-secret
-      # Indexing configuration
-      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
-      CREATE_TIDB_SERVICE_JOB_ENABLED: false
-    depends_on:
-      - db
-      - redis
-    volumes:
-      # Mount the storage directory to the container, for storing user files.
-      - ./volumes/app/storage:/app/api/storage
-    networks:
-      - ssrf_proxy_network
-      - default
-
-  # Frontend web application.
-  web:
-    image: langgenius/dify-web:0.15.3
-    restart: always
-    environment:
-      # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
-      # different from api or web app domain.
-      # example: http://cloud.dify.ai
-      CONSOLE_API_URL: ''
-      # The URL for Web APP api server, refers to the Web App base URL of WEB service if web app domain is different from
-      # console or api domain.
-      # example: http://udify.app
-      APP_API_URL: ''
-      # The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled.
-      SENTRY_DSN: ''
-    # uncomment to expose dify-web port to host
-    # ports:
-    #   - "3000:3000"
-
-  # The postgres database.
-  db:
-    image: postgres:15-alpine
-    restart: always
-    environment:
-      PGUSER: postgres
-      # The password for the default postgres user.
-      POSTGRES_PASSWORD: difyai123456
-      # The name of the default postgres database.
-      POSTGRES_DB: dify
-      # postgres data directory
-      PGDATA: /var/lib/postgresql/data/pgdata
-    volumes:
-      - ./volumes/db/data:/var/lib/postgresql/data
-      # notice!: if you use windows-wsl2, postgres may not work properly due to the ntfs issue.you can use volumes to mount the data directory to the host.
-      # if you use the following config, you need to uncomment the volumes configuration below at the end of the file.
-      # - postgres:/var/lib/postgresql/data
-    # uncomment to expose db(postgresql) port to host
-    # ports:
-    #   - "5432:5432"
-    healthcheck:
-      test: [ "CMD", "pg_isready" ]
-      interval: 1s
-      timeout: 3s
-      retries: 30
-
-  # The redis cache.
-  redis:
-    image: redis:6-alpine
-    restart: always
-    volumes:
-      # Mount the redis data directory to the container.
-      - ./volumes/redis/data:/data
-    # Set the redis password when startup redis server.
-    command: redis-server --requirepass difyai123456
-    healthcheck:
-      test: [ "CMD", "redis-cli", "ping" ]
-    # uncomment to expose redis port to host
-    # ports:
-    #   - "6379:6379"
-
-  # The Weaviate vector store.
-  weaviate:
-    image: semitechnologies/weaviate:1.19.0
-    restart: always
-    volumes:
-      # Mount the Weaviate data directory to the container.
-      - ./volumes/weaviate:/var/lib/weaviate
-    environment:
-      # The Weaviate configurations
-      # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars) documentation for more information.
-      QUERY_DEFAULTS_LIMIT: 25
-      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
-      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
-      DEFAULT_VECTORIZER_MODULE: 'none'
-      CLUSTER_HOSTNAME: 'node1'
-      AUTHENTICATION_APIKEY_ENABLED: 'true'
-      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
-      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
-      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
-      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
-    # uncomment to expose weaviate port to host
-    # ports:
-    #  - "8080:8080"
-
-  # The DifySandbox
-  sandbox:
-    image: langgenius/dify-sandbox:0.2.1
-    restart: always
-    environment:
-      # The DifySandbox configurations
-      # Make sure you are changing this key for your deployment with a strong key.
-      # You can generate a strong key using `openssl rand -base64 42`.
-      API_KEY: dify-sandbox
-      GIN_MODE: 'release'
-      WORKER_TIMEOUT: 15
-      ENABLE_NETWORK: 'true'
-      HTTP_PROXY: 'http://ssrf_proxy:3128'
-      HTTPS_PROXY: 'http://ssrf_proxy:3128'
-      SANDBOX_PORT: 8194
-    volumes:
-      - ./volumes/sandbox/dependencies:/dependencies
-    networks:
-      - ssrf_proxy_network
-
-  # ssrf_proxy server
-  # for more information, please refer to
-  # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed
-  ssrf_proxy:
-    image: ubuntu/squid:latest
-    restart: always
-    volumes:
-      # pls clearly modify the squid.conf file to fit your network environment.
-      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
-    networks:
-      - ssrf_proxy_network
-      - default
-  # Qdrant vector store.
-  # uncomment to use qdrant as vector store.
-  # (if uncommented, you need to comment out the weaviate service above,
-  # and set VECTOR_STORE to qdrant in the api & worker service.)
-  # qdrant:
-  #   image: langgenius/qdrant:v1.7.3
-  #   restart: always
-  #   volumes:
-  #     - ./volumes/qdrant:/qdrant/storage
-  #   environment:
-  #     QDRANT_API_KEY: 'difyai123456'
-  #   # uncomment to expose qdrant port to host
-  #   # ports:
-  #   #  - "6333:6333"
-  #   #  - "6334:6334"
-
-  # The pgvector vector database.
-  # Uncomment to use qdrant as vector store.
-  # pgvector:
-  #   image: pgvector/pgvector:pg16
-  #   restart: always
-  #   environment:
-  #     PGUSER: postgres
-  #     # The password for the default postgres user.
-  #     POSTGRES_PASSWORD: difyai123456
-  #     # The name of the default postgres database.
-  #     POSTGRES_DB: dify
-  #     # postgres data directory
-  #     PGDATA: /var/lib/postgresql/data/pgdata
-  #   volumes:
-  #     - ./volumes/pgvector/data:/var/lib/postgresql/data
-  #   # uncomment to expose db(postgresql) port to host
-  #   # ports:
-  #   #   - "5433:5432"
-  #   healthcheck:
-  #     test: [ "CMD", "pg_isready" ]
-  #     interval: 1s
-  #     timeout: 3s
-  #     retries: 30
-
-  # The oracle vector database.
-  # Uncomment to use oracle23ai as vector store. Also need to Uncomment volumes block
-  # oracle:
-  #   image: container-registry.oracle.com/database/free:latest
-  #   restart: always
-  #   ports:
-  #     - 1521:1521
-  #   volumes:
-  #     - type: volume
-  #       source: oradata
-  #       target: /opt/oracle/oradata
-  #     - ./startupscripts:/opt/oracle/scripts/startup
-  #   environment:
-  #     - ORACLE_PWD=Dify123456
-  #     - ORACLE_CHARACTERSET=AL32UTF8
-
-
-  # The nginx reverse proxy.
-  # used for reverse proxying the API service and Web service.
-  nginx:
-    image: nginx:latest
-    restart: always
-    volumes:
-      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
-      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
-      - ./nginx/conf.d:/etc/nginx/conf.d
-      #- ./nginx/ssl:/etc/ssl
-    depends_on:
-      - api
-      - web
-    ports:
-      - "80:80"
-      #- "443:443"
-# notice: if you use windows-wsl2, postgres may not work properly due to the ntfs issue.you can use volumes to mount the data directory to the host.
-# volumes:
-#   postgres:
-networks:
-  # create a network between sandbox, api and ssrf_proxy, and can not access outside.
-  ssrf_proxy_network:
-    driver: bridge
-    internal: true
-
-#volumes:
-#  oradata:
diff --git a/docker-legacy/nginx/conf.d/default.conf b/docker-legacy/nginx/conf.d/default.conf
deleted file mode 100644
index d6ee302b78..0000000000
--- a/docker-legacy/nginx/conf.d/default.conf
+++ /dev/null
@@ -1,38 +0,0 @@
-server {
-    listen 80;
-    server_name _;
-
-    location /console/api {
-      proxy_pass http://api:5001;
-      include proxy.conf;
-    }
-
-    location /api {
-      proxy_pass http://api:5001;
-      include proxy.conf;
-    }
-
-    location /v1 {
-      proxy_pass http://api:5001;
-      include proxy.conf;
-    }
-
-    location /files {
-      proxy_pass http://api:5001;
-      include proxy.conf;
-    }
-
-    location / {
-      proxy_pass http://web:3000;
-      include proxy.conf;
-    }
-
-    # If you want to support HTTPS, please uncomment the code snippet below
-    #listen 443 ssl;
-    #ssl_certificate ./../ssl/your_cert_file.cer;
-    #ssl_certificate_key ./../ssl/your_cert_key.key;
-    #ssl_protocols TLSv1.1 TLSv1.2 TLSv1.3;
-    #ssl_prefer_server_ciphers on;
-    #ssl_session_cache shared:SSL:10m;
-    #ssl_session_timeout 10m;
-}
diff --git a/docker-legacy/nginx/nginx.conf b/docker-legacy/nginx/nginx.conf
deleted file mode 100644
index d2b52963e8..0000000000
--- a/docker-legacy/nginx/nginx.conf
+++ /dev/null
@@ -1,32 +0,0 @@
-user  nginx;
-worker_processes  auto;
-
-error_log  /var/log/nginx/error.log notice;
-pid        /var/run/nginx.pid;
-
-
-events {
-    worker_connections  1024;
-}
-
-
-http {
-    include       /etc/nginx/mime.types;
-    default_type  application/octet-stream;
-
-    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
-                      '$status $body_bytes_sent "$http_referer" '
-                      '"$http_user_agent" "$http_x_forwarded_for"';
-
-    access_log  /var/log/nginx/access.log  main;
-
-    sendfile        on;
-    #tcp_nopush     on;
-
-    keepalive_timeout  65;
-
-    #gzip  on;
-    client_max_body_size 15M;
-
-    include /etc/nginx/conf.d/*.conf;
-}
\ No newline at end of file
diff --git a/docker-legacy/nginx/proxy.conf b/docker-legacy/nginx/proxy.conf
deleted file mode 100644
index 254f625961..0000000000
--- a/docker-legacy/nginx/proxy.conf
+++ /dev/null
@@ -1,8 +0,0 @@
-proxy_set_header Host $host;
-proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-proxy_set_header X-Forwarded-Proto $scheme;
-proxy_http_version 1.1;
-proxy_set_header Connection "";
-proxy_buffering off;
-proxy_read_timeout 3600s;
-proxy_send_timeout 3600s;
\ No newline at end of file
diff --git a/docker-legacy/nginx/ssl/.gitkeep b/docker-legacy/nginx/ssl/.gitkeep
deleted file mode 100644
index 8b13789179..0000000000
--- a/docker-legacy/nginx/ssl/.gitkeep
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/docker-legacy/startupscripts/create_user.sql b/docker-legacy/startupscripts/create_user.sql
deleted file mode 100755
index b80e19c3b0..0000000000
--- a/docker-legacy/startupscripts/create_user.sql
+++ /dev/null
@@ -1,5 +0,0 @@
-show pdbs;
-ALTER SYSTEM SET PROCESSES=500 SCOPE=SPFILE; 
-alter session set container= freepdb1;
-create user dify identified by dify DEFAULT TABLESPACE users quota unlimited on users;
-grant DB_DEVELOPER_ROLE to dify;
diff --git a/docker-legacy/volumes/opensearch/opensearch_dashboards.yml b/docker-legacy/volumes/opensearch/opensearch_dashboards.yml
deleted file mode 100644
index f50d63bbb9..0000000000
--- a/docker-legacy/volumes/opensearch/opensearch_dashboards.yml
+++ /dev/null
@@ -1,222 +0,0 @@
----
-# Copyright OpenSearch Contributors
-# SPDX-License-Identifier: Apache-2.0
-
-# Description:
-# Default configuration for OpenSearch Dashboards
-
-# OpenSearch Dashboards is served by a back end server. This setting specifies the port to use.
-# server.port: 5601
-
-# Specifies the address to which the OpenSearch Dashboards server will bind. IP addresses and host names are both valid values.
-# The default is 'localhost', which usually means remote machines will not be able to connect.
-# To allow connections from remote users, set this parameter to a non-loopback address.
-# server.host: "localhost"
-
-# Enables you to specify a path to mount OpenSearch Dashboards at if you are running behind a proxy.
-# Use the `server.rewriteBasePath` setting to tell OpenSearch Dashboards if it should remove the basePath
-# from requests it receives, and to prevent a deprecation warning at startup.
-# This setting cannot end in a slash.
-# server.basePath: ""
-
-# Specifies whether OpenSearch Dashboards should rewrite requests that are prefixed with
-# `server.basePath` or require that they are rewritten by your reverse proxy.
-# server.rewriteBasePath: false
-
-# The maximum payload size in bytes for incoming server requests.
-# server.maxPayloadBytes: 1048576
-
-# The OpenSearch Dashboards server's name.  This is used for display purposes.
-# server.name: "your-hostname"
-
-# The URLs of the OpenSearch instances to use for all your queries.
-# opensearch.hosts: ["http://localhost:9200"]
-
-# OpenSearch Dashboards uses an index in OpenSearch to store saved searches, visualizations and
-# dashboards. OpenSearch Dashboards creates a new index if the index doesn't already exist.
-# opensearchDashboards.index: ".opensearch_dashboards"
-
-# The default application to load.
-# opensearchDashboards.defaultAppId: "home"
-
-# Setting for an optimized healthcheck that only uses the local OpenSearch node to do Dashboards healthcheck.
-# This settings should be used for large clusters or for clusters with ingest heavy nodes.
-# It allows Dashboards to only healthcheck using the local OpenSearch node rather than fan out requests across all nodes.
-#
-# It requires the user to create an OpenSearch node attribute with the same name as the value used in the setting
-# This node attribute should assign all nodes of the same cluster an integer value that increments with each new cluster that is spun up
-# e.g. in opensearch.yml file you would set the value to a setting using node.attr.cluster_id:
-# Should only be enabled if there is a corresponding node attribute created in your OpenSearch config that matches the value here
-# opensearch.optimizedHealthcheckId: "cluster_id"
-
-# If your OpenSearch is protected with basic authentication, these settings provide
-# the username and password that the OpenSearch Dashboards server uses to perform maintenance on the OpenSearch Dashboards
-# index at startup. Your OpenSearch Dashboards users still need to authenticate with OpenSearch, which
-# is proxied through the OpenSearch Dashboards server.
-# opensearch.username: "opensearch_dashboards_system"
-# opensearch.password: "pass"
-
-# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively.
-# These settings enable SSL for outgoing requests from the OpenSearch Dashboards server to the browser.
-# server.ssl.enabled: false
-# server.ssl.certificate: /path/to/your/server.crt
-# server.ssl.key: /path/to/your/server.key
-
-# Optional settings that provide the paths to the PEM-format SSL certificate and key files.
-# These files are used to verify the identity of OpenSearch Dashboards to OpenSearch and are required when
-# xpack.security.http.ssl.client_authentication in OpenSearch is set to required.
-# opensearch.ssl.certificate: /path/to/your/client.crt
-# opensearch.ssl.key: /path/to/your/client.key
-
-# Optional setting that enables you to specify a path to the PEM file for the certificate
-# authority for your OpenSearch instance.
-# opensearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ]
-
-# To disregard the validity of SSL certificates, change this setting's value to 'none'.
-# opensearch.ssl.verificationMode: full
-
-# Time in milliseconds to wait for OpenSearch to respond to pings. Defaults to the value of
-# the opensearch.requestTimeout setting.
-# opensearch.pingTimeout: 1500
-
-# Time in milliseconds to wait for responses from the back end or OpenSearch. This value
-# must be a positive integer.
-# opensearch.requestTimeout: 30000
-
-# List of OpenSearch Dashboards client-side headers to send to OpenSearch. To send *no* client-side
-# headers, set this value to [] (an empty list).
-# opensearch.requestHeadersWhitelist: [ authorization ]
-
-# Header names and values that are sent to OpenSearch. Any custom headers cannot be overwritten
-# by client-side headers, regardless of the opensearch.requestHeadersWhitelist configuration.
-# opensearch.customHeaders: {}
-
-# Time in milliseconds for OpenSearch to wait for responses from shards. Set to 0 to disable.
-# opensearch.shardTimeout: 30000
-
-# Logs queries sent to OpenSearch. Requires logging.verbose set to true.
-# opensearch.logQueries: false
-
-# Specifies the path where OpenSearch Dashboards creates the process ID file.
-# pid.file: /var/run/opensearchDashboards.pid
-
-# Enables you to specify a file where OpenSearch Dashboards stores log output.
-# logging.dest: stdout
-
-# Set the value of this setting to true to suppress all logging output.
-# logging.silent: false
-
-# Set the value of this setting to true to suppress all logging output other than error messages.
-# logging.quiet: false
-
-# Set the value of this setting to true to log all events, including system usage information
-# and all requests.
-# logging.verbose: false
-
-# Set the interval in milliseconds to sample system and process performance
-# metrics. Minimum is 100ms. Defaults to 5000.
-# ops.interval: 5000
-
-# Specifies locale to be used for all localizable strings, dates and number formats.
-# Supported languages are the following: English - en , by default , Chinese - zh-CN .
-# i18n.locale: "en"
-
-# Set the allowlist to check input graphite Url. Allowlist is the default check list.
-# vis_type_timeline.graphiteAllowedUrls: ['https://www.hostedgraphite.com/UID/ACCESS_KEY/graphite']
-
-# Set the blocklist to check input graphite Url. Blocklist is an IP list.
-# Below is an example for reference
-# vis_type_timeline.graphiteBlockedIPs: [
-#  //Loopback
-#  '127.0.0.0/8',
-#  '::1/128',
-#  //Link-local Address for IPv6
-#  'fe80::/10',
-#  //Private IP address for IPv4
-#  '10.0.0.0/8',
-#  '172.16.0.0/12',
-#  '192.168.0.0/16',
-#  //Unique local address (ULA)
-#  'fc00::/7',
-#  //Reserved IP address
-#  '0.0.0.0/8',
-#  '100.64.0.0/10',
-#  '192.0.0.0/24',
-#  '192.0.2.0/24',
-#  '198.18.0.0/15',
-#  '192.88.99.0/24',
-#  '198.51.100.0/24',
-#  '203.0.113.0/24',
-#  '224.0.0.0/4',
-#  '240.0.0.0/4',
-#  '255.255.255.255/32',
-#  '::/128',
-#  '2001:db8::/32',
-#  'ff00::/8',
-# ]
-# vis_type_timeline.graphiteBlockedIPs: []
-
-# opensearchDashboards.branding:
-#   logo:
-#     defaultUrl: ""
-#     darkModeUrl: ""
-#   mark:
-#     defaultUrl: ""
-#     darkModeUrl: ""
-#   loadingLogo:
-#     defaultUrl: ""
-#     darkModeUrl: ""
-#   faviconUrl: ""
-#   applicationTitle: ""
-
-# Set the value of this setting to true to capture region blocked warnings and errors
-# for your map rendering services.
-# map.showRegionBlockedWarning: false%
-
-# Set the value of this setting to false to suppress search usage telemetry
-# for reducing the load of OpenSearch cluster.
-# data.search.usageTelemetry.enabled: false
-
-# 2.4 renames 'wizard.enabled: false' to 'vis_builder.enabled: false'
-# Set the value of this setting to false to disable VisBuilder
-# functionality in Visualization.
-# vis_builder.enabled: false
-
-# 2.4 New Experimental Feature
-# Set the value of this setting to true to enable the experimental multiple data source
-# support feature. Use with caution.
-# data_source.enabled: false
-# Set the value of these settings to customize crypto materials to encryption saved credentials
-# in data sources.
-# data_source.encryption.wrappingKeyName: 'changeme'
-# data_source.encryption.wrappingKeyNamespace: 'changeme'
-# data_source.encryption.wrappingKey: [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
-
-# 2.6 New ML Commons Dashboards Feature
-# Set the value of this setting to true to enable the ml commons dashboards
-# ml_commons_dashboards.enabled: false
-
-# 2.12 New experimental Assistant Dashboards Feature
-# Set the value of this setting to true to enable the assistant dashboards
-# assistant.chat.enabled: false
-
-# 2.13 New Query Assistant Feature
-# Set the value of this setting to false to disable the query assistant
-# observability.query_assist.enabled: false
-
-# 2.14 Enable Ui Metric Collectors in Usage Collector
-# Set the value of this setting to true to enable UI Metric collections
-# usageCollection.uiMetric.enabled: false
-
-opensearch.hosts: [https://localhost:9200]
-opensearch.ssl.verificationMode: none
-opensearch.username: admin
-opensearch.password: 'Qazwsxedc!@#123'
-opensearch.requestHeadersWhitelist: [authorization, securitytenant]
-
-opensearch_security.multitenancy.enabled: true
-opensearch_security.multitenancy.tenants.preferred: [Private, Global]
-opensearch_security.readonly_mode.roles: [kibana_read_only]
-# Use this setting if you are running opensearch-dashboards without https
-opensearch_security.cookie.secure: false
-server.host: '0.0.0.0'
diff --git a/docker-legacy/volumes/sandbox/dependencies/python-requirements.txt b/docker-legacy/volumes/sandbox/dependencies/python-requirements.txt
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/docker-legacy/volumes/ssrf_proxy/squid.conf b/docker-legacy/volumes/ssrf_proxy/squid.conf
deleted file mode 100644
index 06bedb8aaf..0000000000
--- a/docker-legacy/volumes/ssrf_proxy/squid.conf
+++ /dev/null
@@ -1,49 +0,0 @@
-acl localnet src 0.0.0.1-0.255.255.255	# RFC 1122 "this" network (LAN)
-acl localnet src 10.0.0.0/8		# RFC 1918 local private network (LAN)
-acl localnet src 100.64.0.0/10		# RFC 6598 shared address space (CGN)
-acl localnet src 169.254.0.0/16 	# RFC 3927 link-local (directly plugged) machines
-acl localnet src 172.16.0.0/12		# RFC 1918 local private network (LAN)
-acl localnet src 192.168.0.0/16		# RFC 1918 local private network (LAN)
-acl localnet src fc00::/7       	# RFC 4193 local private network range
-acl localnet src fe80::/10      	# RFC 4291 link-local (directly plugged) machines
-acl SSL_ports port 443
-acl Safe_ports port 80		# http
-acl Safe_ports port 21		# ftp
-acl Safe_ports port 443		# https
-acl Safe_ports port 70		# gopher
-acl Safe_ports port 210		# wais
-acl Safe_ports port 1025-65535	# unregistered ports
-acl Safe_ports port 280		# http-mgmt
-acl Safe_ports port 488		# gss-http
-acl Safe_ports port 591		# filemaker
-acl Safe_ports port 777		# multiling http
-acl CONNECT method CONNECT
-http_access deny !Safe_ports
-http_access deny CONNECT !SSL_ports
-http_access allow localhost manager
-http_access deny manager
-http_access allow localhost
-include /etc/squid/conf.d/*.conf
-http_access deny all
-
-################################## Proxy Server ################################
-http_port 3128
-coredump_dir /var/spool/squid
-refresh_pattern ^ftp:		1440	20%	10080
-refresh_pattern ^gopher:	1440	0%	1440
-refresh_pattern -i (/cgi-bin/|\?) 0	0%	0
-refresh_pattern \/(Packages|Sources)(|\.bz2|\.gz|\.xz)$ 0 0% 0 refresh-ims
-refresh_pattern \/Release(|\.gpg)$ 0 0% 0 refresh-ims
-refresh_pattern \/InRelease$ 0 0% 0 refresh-ims
-refresh_pattern \/(Translation-.*)(|\.bz2|\.gz|\.xz)$ 0 0% 0 refresh-ims
-refresh_pattern .		0	20%	4320
-
-# upstream proxy, set to your own upstream proxy IP to avoid SSRF attacks
-# cache_peer 172.1.1.1 parent 3128 0 no-query no-digest no-netdb-exchange default 
-
-
-################################## Reverse Proxy To Sandbox ################################
-http_port 8194 accel vhost
-cache_peer sandbox parent 8194 0 no-query originserver
-acl src_all src all
-http_access allow src_all
diff --git a/docker/.env.example b/docker/.env.example
index 3bc79059dc..afd2caf501 100644
--- a/docker/.env.example
+++ b/docker/.env.example
@@ -936,3 +936,30 @@ MAX_SUBMIT_COUNT=100
 
 # The maximum number of top-k value for RAG.
 TOP_K_MAX_VALUE=10
+
+# ------------------------------
+# Plugin Daemon Configuration
+# ------------------------------
+
+DB_PLUGIN_DATABASE=dify_plugin
+EXPOSE_PLUGIN_DAEMON_PORT=5002
+PLUGIN_DAEMON_PORT=5002
+PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
+PLUGIN_DAEMON_URL=http://plugin_daemon:5002
+PLUGIN_MAX_PACKAGE_SIZE=52428800
+PLUGIN_PPROF_ENABLED=false
+
+PLUGIN_DEBUGGING_HOST=0.0.0.0
+PLUGIN_DEBUGGING_PORT=5003
+EXPOSE_PLUGIN_DEBUGGING_HOST=localhost
+EXPOSE_PLUGIN_DEBUGGING_PORT=5003
+
+PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+PLUGIN_DIFY_INNER_API_URL=http://api:5001
+
+ENDPOINT_URL_TEMPLATE=http://localhost/e/{hook_id}
+
+MARKETPLACE_ENABLED=true
+MARKETPLACE_API_URL=https://marketplace.dify.ai
+
+FORCE_VERIFYING_SIGNATURE=true
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index fc4e7d9c89..91dfa7f39f 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.3
+    image: langgenius/dify-api:1.0.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -12,6 +12,8 @@ services:
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
+      PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
     depends_on:
       - db
       - redis
@@ -25,7 +27,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.3
+    image: langgenius/dify-api:1.0.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -35,6 +37,8 @@ services:
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
+      PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
     depends_on:
       - db
       - redis
@@ -47,7 +51,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.3
+    image: langgenius/dify-web:1.0.0
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -56,6 +60,8 @@ services:
       NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0}
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
+      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
       INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-}
 
@@ -81,6 +87,8 @@ services:
       interval: 1s
       timeout: 3s
       retries: 30
+    ports:
+      - '${EXPOSE_DB_PORT:-5432}:5432'
 
   # The redis cache.
   redis:
@@ -118,6 +126,30 @@ services:
     networks:
       - ssrf_proxy_network
 
+  # plugin daemon
+  plugin_daemon:
+    image: langgenius/dify-plugin-daemon:0.0.1-local
+    restart: always
+    environment:
+      # Use the shared environment variables.
+      <<: *shared-api-worker-env
+      DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin}
+      SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002}
+      SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
+      MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
+      DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001}
+      DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0}
+      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003}
+      PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
+    ports:
+      - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"
+    volumes:
+      - ./volumes/plugin_daemon:/app/storage
+
+
   # ssrf_proxy server
   # for more information, please refer to
   # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed
diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml
index 11f5302197..01879c4238 100644
--- a/docker/docker-compose.middleware.yaml
+++ b/docker/docker-compose.middleware.yaml
@@ -64,6 +64,36 @@ services:
     networks:
       - ssrf_proxy_network
 
+  # plugin daemon
+  plugin_daemon:
+    image: langgenius/dify-plugin-daemon:0.0.1-local
+    restart: always
+    environment:
+      # Use the shared environment variables.
+      DB_HOST: ${DB_HOST:-db}
+      DB_PORT: ${DB_PORT:-5432}
+      DB_USERNAME: ${DB_USER:-postgres}
+      DB_PASSWORD: ${DB_PASSWORD:-difyai123456}
+      DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin}
+      REDIS_HOST: ${REDIS_HOST:-redis}
+      REDIS_PORT: ${REDIS_PORT:-6379}
+      REDIS_PASSWORD: ${REDIS_PASSWORD:-difyai123456}
+      SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002}
+      SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
+      MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
+      DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://host.docker.internal:5001}
+      DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0}
+      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
+      PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
+    ports:
+      - "${EXPOSE_PLUGIN_DAEMON_PORT:-5002}:${PLUGIN_DAEMON_PORT:-5002}"
+      - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"
+    volumes:
+      - ./volumes/plugin_daemon:/app/storage
+
   # ssrf_proxy server
   # for more information, please refer to
   # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 38e4783806..840fe2267f 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -393,11 +393,28 @@ x-shared-env: &shared-api-worker-env
   CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false}
   MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100}
   TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-10}
+  DB_PLUGIN_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin}
+  EXPOSE_PLUGIN_DAEMON_PORT: ${EXPOSE_PLUGIN_DAEMON_PORT:-5002}
+  PLUGIN_DAEMON_PORT: ${PLUGIN_DAEMON_PORT:-5002}
+  PLUGIN_DAEMON_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
+  PLUGIN_DAEMON_URL: ${PLUGIN_DAEMON_URL:-http://plugin_daemon:5002}
+  PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+  PLUGIN_PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
+  PLUGIN_DEBUGGING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0}
+  PLUGIN_DEBUGGING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
+  EXPOSE_PLUGIN_DEBUGGING_HOST: ${EXPOSE_PLUGIN_DEBUGGING_HOST:-localhost}
+  EXPOSE_PLUGIN_DEBUGGING_PORT: ${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}
+  PLUGIN_DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+  PLUGIN_DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001}
+  ENDPOINT_URL_TEMPLATE: ${ENDPOINT_URL_TEMPLATE:-http://localhost/e/{hook_id}}
+  MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-true}
+  MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
+  FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
 
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.3
+    image: langgenius/dify-api:1.0.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -407,6 +424,8 @@ services:
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
+      PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
     depends_on:
       - db
       - redis
@@ -420,7 +439,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.3
+    image: langgenius/dify-api:1.0.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -430,6 +449,8 @@ services:
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
+      PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
     depends_on:
       - db
       - redis
@@ -442,7 +463,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.3
+    image: langgenius/dify-web:1.0.0
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -451,6 +472,8 @@ services:
       NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0}
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
+      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
       INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-}
 
@@ -476,6 +499,8 @@ services:
       interval: 1s
       timeout: 3s
       retries: 30
+    ports:
+      - '${EXPOSE_DB_PORT:-5432}:5432'
 
   # The redis cache.
   redis:
@@ -513,6 +538,30 @@ services:
     networks:
       - ssrf_proxy_network
 
+  # plugin daemon
+  plugin_daemon:
+    image: langgenius/dify-plugin-daemon:0.0.1-local
+    restart: always
+    environment:
+      # Use the shared environment variables.
+      <<: *shared-api-worker-env
+      DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin}
+      SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002}
+      SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
+      MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
+      PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
+      DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001}
+      DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0}
+      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003}
+      PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
+    ports:
+      - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"
+    volumes:
+      - ./volumes/plugin_daemon:/app/storage
+
+
   # ssrf_proxy server
   # for more information, please refer to
   # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed
diff --git a/docker/middleware.env.example b/docker/middleware.env.example
index c4ce9f0114..aaecad72b5 100644
--- a/docker/middleware.env.example
+++ b/docker/middleware.env.example
@@ -87,3 +87,31 @@ EXPOSE_REDIS_PORT=6379
 EXPOSE_SANDBOX_PORT=8194
 EXPOSE_SSRF_PROXY_PORT=3128
 EXPOSE_WEAVIATE_PORT=8080
+
+# ------------------------------
+# Plugin Daemon Configuration
+# ------------------------------
+
+DB_PLUGIN_DATABASE=dify_plugin
+EXPOSE_PLUGIN_DAEMON_PORT=5002
+PLUGIN_DAEMON_PORT=5002
+PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
+PLUGIN_DAEMON_URL=http://host.docker.internal:5002
+PLUGIN_MAX_PACKAGE_SIZE=52428800
+PLUGIN_PPROF_ENABLED=false
+PLUGIN_WORKING_PATH=/app/storage/cwd
+
+ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
+
+PLUGIN_DEBUGGING_PORT=5003
+PLUGIN_DEBUGGING_HOST=0.0.0.0
+EXPOSE_PLUGIN_DEBUGGING_HOST=localhost
+EXPOSE_PLUGIN_DEBUGGING_PORT=5003
+
+PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+PLUGIN_DIFY_INNER_API_URL=http://api:5001
+
+MARKETPLACE_ENABLED=true
+MARKETPLACE_API_URL=https://marketplace.dify.ai
+
+FORCE_VERIFYING_SIGNATURE=true
\ No newline at end of file
diff --git a/docker/nginx/conf.d/default.conf.template b/docker/nginx/conf.d/default.conf.template
index 9691122cea..a24219ed40 100644
--- a/docker/nginx/conf.d/default.conf.template
+++ b/docker/nginx/conf.d/default.conf.template
@@ -24,6 +24,17 @@ server {
       include proxy.conf;
     }
 
+    location /explore {
+      proxy_pass http://web:3000;
+      include proxy.conf;
+    }
+
+    location /e {
+      proxy_pass http://plugin_daemon:5002;
+      proxy_set_header Dify-Hook-Url $scheme://$host$request_uri;
+      include proxy.conf;
+    }
+
     location / {
       proxy_pass http://web:3000;
       include proxy.conf;
diff --git a/sdks/nodejs-client/babel.config.json b/sdks/nodejs-client/babel.config.json
deleted file mode 100644
index 0639bf7643..0000000000
--- a/sdks/nodejs-client/babel.config.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-    "presets": [
-        "@babel/preset-env"
-    ]
-}
\ No newline at end of file
diff --git a/web/.env.example b/web/.env.example
index e2117ddfd8..f26272c8f3 100644
--- a/web/.env.example
+++ b/web/.env.example
@@ -10,6 +10,10 @@ NEXT_PUBLIC_API_PREFIX=http://localhost:5001/console/api
 # console or api domain.
 # example: http://udify.app/api
 NEXT_PUBLIC_PUBLIC_API_PREFIX=http://localhost:5001/api
+# The APIFREX for MARKETPLACE
+NEXT_PUBLIC_MARKETPLACE_API_PREFIX=http://localhost:5002/api
+# The URL for MARKETPLACE
+NEXT_PUBLIC_MARKETPLACE_URL_PREFIX=
 
 # SENTRY
 NEXT_PUBLIC_SENTRY_DSN=
@@ -26,6 +30,8 @@ NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS=60000
 # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP
 NEXT_PUBLIC_CSP_WHITELIST=
 
+# Github Access Token, used for invoking Github API
+NEXT_PUBLIC_GITHUB_ACCESS_TOKEN=
 # The maximum number of top-k value for RAG.
 NEXT_PUBLIC_TOP_K_MAX_VALUE=10
 
diff --git a/web/.eslintignore b/web/.eslintignore
deleted file mode 100644
index 8a8bc38d80..0000000000
--- a/web/.eslintignore
+++ /dev/null
@@ -1,7 +0,0 @@
-/**/node_modules/*
-node_modules/
-
-dist/
-build/
-out/
-.next/
\ No newline at end of file
diff --git a/web/.eslintrc.json b/web/.eslintrc.json
deleted file mode 100644
index 18b6bc6016..0000000000
--- a/web/.eslintrc.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-  "extends": [
-    "next",
-    "@antfu",
-    "plugin:storybook/recommended"
-  ],
-  "rules": {
-    "@typescript-eslint/consistent-type-definitions": [
-      "error",
-      "type"
-    ],
-    "@typescript-eslint/no-var-requires": "off",
-    "no-console": "off",
-    "indent": "off",
-    "@typescript-eslint/indent": [
-      "error",
-      2,
-      {
-        "SwitchCase": 1,
-        "flatTernaryExpressions": false,
-        "ignoredNodes": [
-          "PropertyDefinition[decorators]",
-          "TSUnionType",
-          "FunctionExpression[params]:has(Identifier[decorators])"
-        ]
-      }
-    ],
-    "react-hooks/exhaustive-deps": "warn",
-    "react/display-name": "warn"
-  }
-}
diff --git a/web/.gitignore b/web/.gitignore
index cb8fbe77ac..048c5f6485 100644
--- a/web/.gitignore
+++ b/web/.gitignore
@@ -44,12 +44,11 @@ package-lock.json
 .pnp.cjs
 .pnp.loader.mjs
 .yarn/
-.yarnrc.yml
-
-# pmpm
-pnpm-lock.yaml
 
 .favorites.json
+
+# storybook
+/storybook-static
 *storybook.log
 
 # mise
diff --git a/web/.husky/pre-commit b/web/.husky/pre-commit
index d9290e1853..cca8abe27a 100755
--- a/web/.husky/pre-commit
+++ b/web/.husky/pre-commit
@@ -1,6 +1,3 @@
-#!/usr/bin/env bash
-. "$(dirname -- "$0")/_/husky.sh"
-
 # get the list of modified files
 files=$(git diff --cached --name-only)
 
@@ -50,7 +47,7 @@ fi
 if $web_modified; then
     echo "Running ESLint on web module"
     cd ./web || exit 1
-    npx lint-staged
+    lint-staged
 
     echo "Running unit tests check"
     modified_files=$(git diff --cached --name-only -- utils | grep -v '\.spec\.ts$' || true)
@@ -63,7 +60,7 @@ if $web_modified; then
             # check if the test file exists
             if [ -f "../$test_file" ]; then
                 echo "Detected changes in $file, running corresponding unit tests..."
-                npm run test "../$test_file"
+                pnpm run test "../$test_file"
 
                 if [ $? -ne 0 ]; then
                     echo "Unit tests failed. Please fix the errors before committing."
diff --git a/web/.storybook/main.ts b/web/.storybook/main.ts
index 74e95821de..fecf774e98 100644
--- a/web/.storybook/main.ts
+++ b/web/.storybook/main.ts
@@ -1,19 +1,19 @@
 import type { StorybookConfig } from '@storybook/nextjs'
 
 const config: StorybookConfig = {
-    // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'],
-    stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'],
-    addons: [
-        '@storybook/addon-onboarding',
-        '@storybook/addon-links',
-        '@storybook/addon-essentials',
-        '@chromatic-com/storybook',
-        '@storybook/addon-interactions',
-    ],
-    framework: {
-        name: '@storybook/nextjs',
-        options: {},
-    },
-    staticDirs: ['../public'],
+  // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'],
+  stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'],
+  addons: [
+    '@storybook/addon-onboarding',
+    '@storybook/addon-links',
+    '@storybook/addon-essentials',
+    '@chromatic-com/storybook',
+    '@storybook/addon-interactions',
+  ],
+  framework: {
+    name: '@storybook/nextjs',
+    options: {},
+  },
+  staticDirs: ['../public'],
 }
 export default config
diff --git a/web/.storybook/preview.tsx b/web/.storybook/preview.tsx
index 49cd24e974..55328602f9 100644
--- a/web/.storybook/preview.tsx
+++ b/web/.storybook/preview.tsx
@@ -1,6 +1,6 @@
 import React from 'react'
 import type { Preview } from '@storybook/react'
-import { withThemeByDataAttribute } from '@storybook/addon-themes';
+import { withThemeByDataAttribute } from '@storybook/addon-themes'
 import I18nServer from '../app/components/i18n-server'
 
 import '../app/styles/globals.css'
@@ -8,30 +8,30 @@ import '../app/styles/markdown.scss'
 import './storybook.css'
 
 export const decorators = [
-    withThemeByDataAttribute({
-      themes: {
-        light: 'light',
-        dark: 'dark',
-      },
-      defaultTheme: 'light',
-      attributeName: 'data-theme',
-    }),
-    Story => {
-      return <I18nServer>
-        <Story />
-      </I18nServer>
-    }
-  ];
+  withThemeByDataAttribute({
+    themes: {
+      light: 'light',
+      dark: 'dark',
+    },
+    defaultTheme: 'light',
+    attributeName: 'data-theme',
+  }),
+  (Story) => {
+    return <I18nServer>
+      <Story />
+    </I18nServer>
+  },
+]
 
 const preview: Preview = {
   parameters: {
-        controls: {
-            matchers: {
-                color: /(background|color)$/i,
-                date: /Date$/i,
-            },
-        },
+    controls: {
+      matchers: {
+        color: /(background|color)$/i,
+        date: /Date$/i,
+      },
     },
+  },
 }
 
 export default preview
diff --git a/web/.vscode/settings.example.json b/web/.vscode/settings.example.json
index a2dfe7c669..ce5c9d6b01 100644
--- a/web/.vscode/settings.example.json
+++ b/web/.vscode/settings.example.json
@@ -21,5 +21,6 @@
     "editor.defaultFormatter": "vscode.json-language-features"
   },
   "typescript.tsdk": "node_modules/typescript/lib",
-  "typescript.enablePromptUseWorkspaceTsdk": true
+  "typescript.enablePromptUseWorkspaceTsdk": true,
+  "npm.packageManager": "pnpm"
 }
diff --git a/web/Dockerfile b/web/Dockerfile
index 6c341fac4e..b5423463ab 100644
--- a/web/Dockerfile
+++ b/web/Dockerfile
@@ -6,6 +6,9 @@ LABEL maintainer="takatost@gmail.com"
 # RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories
 
 RUN apk add --no-cache tzdata
+RUN npm install -g pnpm@9.12.2
+ENV PNPM_HOME="/pnpm"
+ENV PATH="$PNPM_HOME:$PATH"
 
 
 # install packages
@@ -14,12 +17,12 @@ FROM base AS packages
 WORKDIR /app/web
 
 COPY package.json .
-COPY yarn.lock .
+COPY pnpm-lock.yaml .
 
 # if you located in China, you can use taobao registry to speed up
-# RUN yarn install --frozen-lockfile --registry https://registry.npmmirror.com/
+# RUN pnpm install --frozen-lockfile --registry https://registry.npmmirror.com/
 
-RUN yarn install --frozen-lockfile
+RUN pnpm install --frozen-lockfile
 
 # build resources
 FROM base AS builder
@@ -27,7 +30,8 @@ WORKDIR /app/web
 COPY --from=packages /app/web/ .
 COPY . .
 
-RUN yarn build
+ENV NODE_OPTIONS="--max-old-space-size=4096"
+RUN pnpm build
 
 
 # production stage
@@ -38,6 +42,8 @@ ENV EDITION=SELF_HOSTED
 ENV DEPLOY_ENV=PRODUCTION
 ENV CONSOLE_API_URL=http://127.0.0.1:5001
 ENV APP_API_URL=http://127.0.0.1:5001
+ENV MARKETPLACE_API_URL=http://127.0.0.1:5001
+ENV MARKETPLACE_URL=http://127.0.0.1:5001
 ENV PORT=3000
 ENV NEXT_TELEMETRY_DISABLED=1
 
@@ -57,8 +63,7 @@ COPY docker/entrypoint.sh ./entrypoint.sh
 
 
 # global runtime packages
-RUN yarn global add pm2 \
-    && yarn cache clean \
+RUN pnpm add -g pm2 \
     && mkdir /.pm2 \
     && chown -R 1001:0 /.pm2 /app/web \
     && chmod -R g=u /.pm2 /app/web
diff --git a/web/README.md b/web/README.md
index ce5239e57f..ddba8ed28a 100644
--- a/web/README.md
+++ b/web/README.md
@@ -6,14 +6,12 @@ This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next
 
 ### Run by source code
 
-To start the web frontend service, you will need [Node.js v18.x (LTS)](https://nodejs.org/en) and [NPM version 8.x.x](https://www.npmjs.com/) or [Yarn](https://yarnpkg.com/).
+To start the web frontend service, you will need [Node.js v18.x (LTS)](https://nodejs.org/en) and [pnpm version 9.12.2](https://pnpm.io).
 
 First, install the dependencies:
 
 ```bash
-npm install
-# or
-yarn install --frozen-lockfile
+pnpm install
 ```
 
 Then, configure the environment variables. Create a file named `.env.local` in the current directory and copy the contents from `.env.example`. Modify the values of these environment variables according to your requirements:
@@ -43,9 +41,7 @@ NEXT_PUBLIC_SENTRY_DSN=
 Finally, run the development server:
 
 ```bash
-npm run dev
-# or
-yarn dev
+pnpm run dev
 ```
 
 Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
@@ -59,19 +55,19 @@ You can start editing the file under folder `app`. The page auto-updates as you
 First, build the app for production:
 
 ```bash
-npm run build
+pnpm run build
 ```
 
 Then, start the server:
 
 ```bash
-npm run start
+pnpm run start
 ```
 
 If you want to customize the host and port:
 
 ```bash
-npm run start --port=3001 --host=0.0.0.0
+pnpm run start --port=3001 --host=0.0.0.0
 ```
 
 ## Storybook
@@ -81,7 +77,7 @@ This project uses [Storybook](https://storybook.js.org/) for UI component develo
 To start the storybook server, run:
 
 ```bash
-yarn storybook
+pnpm storybook
 ```
 
 Open [http://localhost:6006](http://localhost:6006) with your browser to see the result.
@@ -99,7 +95,7 @@ You can create a test file with a suffix of `.spec` beside the file that to be t
 Run test:
 
 ```bash
-npm run test
+pnpm run test
 ```
 
 If you are not familiar with writing tests, here is some code to refer to:
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx
index 4101120703..a4ee3922d9 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx
@@ -1,5 +1,5 @@
 import React from 'react'
-import { type Locale } from '@/i18n'
+import type { Locale } from '@/i18n'
 import DevelopMain from '@/app/components/develop'
 
 export type IDevelopProps = {
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
index 406a6642be..69a423ab21 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx
@@ -106,6 +106,7 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
       // if ((appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (pathname).endsWith('workflow'))
       //   setAppSiderbarExpand('collapse')
     }
+  // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [appDetail, isMobile])
 
   useEffect(() => {
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx
index bb1e4fd95b..00f1190045 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx
@@ -46,7 +46,7 @@ export default function ChartView({ appId }: IChartViewProps) {
 
   return (
     <div>
-      <div className='flex flex-row items-center mt-8 mb-4 text-gray-900 text-base'>
+      <div className='flex flex-row items-center mt-8 mb-4 system-xl-semibold text-text-primary'>
         <span className='mr-3'>{t('appOverview.analysis.title')}</span>
         <SimpleSelect
           items={Object.entries(TIME_PERIOD_MAPPING).map(([k, v]) => ({ value: k, name: t(`appLog.filter.period.${v.name}`) }))}
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx
index 137c2c36ee..47dd36eb81 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx
@@ -12,7 +12,7 @@ const Overview = async ({
   params: { appId },
 }: IDevelopProps) => {
   return (
-    <div className="h-full px-4 sm:px-16 py-6 overflow-scroll">
+    <div className="h-full px-4 sm:px-12 py-6 overflow-scroll bg-chatbot-bg">
       <ApikeyInfoPanel />
       <TracingPanel />
       <CardView appId={appId} />
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx
index 977e3f057c..ca6fa3a904 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx
@@ -1,20 +1,18 @@
 'use client'
 import type { FC } from 'react'
 import React, { useCallback, useEffect, useRef, useState } from 'react'
-import { useTranslation } from 'react-i18next'
+import {
+  RiEqualizer2Line,
+} from '@remixicon/react'
 import type { PopupProps } from './config-popup'
 import ConfigPopup from './config-popup'
 import cn from '@/utils/classnames'
-import Button from '@/app/components/base/button'
-import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
 import {
   PortalToFollowElem,
   PortalToFollowElemContent,
   PortalToFollowElemTrigger,
 } from '@/app/components/base/portal-to-follow-elem'
 
-const I18N_PREFIX = 'app.tracing'
-
 type Props = {
   readOnly: boolean
   className?: string
@@ -28,7 +26,6 @@ const ConfigBtn: FC<Props> = ({
   controlShowPopup,
   ...popupProps
 }) => {
-  const { t } = useTranslation()
   const [open, doSetOpen] = useState(false)
   const openRef = useRef(open)
   const setOpen = useCallback((v: boolean) => {
@@ -50,21 +47,6 @@ const ConfigBtn: FC<Props> = ({
   if (popupProps.readOnly && !hasConfigured)
     return null
 
-  const triggerContent = hasConfigured
-    ? (
-      <div className={cn(className, 'p-1 rounded-md hover:bg-black/5 cursor-pointer')}>
-        <Settings04 className='w-4 h-4 text-gray-500' />
-      </div>
-    )
-    : (
-      <Button variant='primary'
-        className={cn(className, '!h-8 !px-3 select-none')}
-      >
-        <Settings04 className='mr-1 w-4 h-4' />
-        <span className='text-[13px]'>{t(`${I18N_PREFIX}.config`)}</span>
-      </Button>
-    )
-
   return (
     <PortalToFollowElem
       open={open}
@@ -72,11 +54,13 @@ const ConfigBtn: FC<Props> = ({
       placement='bottom-end'
       offset={{
         mainAxis: 12,
-        crossAxis: hasConfigured ? 8 : 0,
+        crossAxis: hasConfigured ? 8 : 49,
       }}
     >
       <PortalToFollowElemTrigger onClick={handleTrigger}>
-        {triggerContent}
+        <div className={cn(className, 'p-1 rounded-md')}>
+          <RiEqualizer2Line className='w-4 h-4 text-text-tertiary' />
+        </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='z-[11]'>
         <ConfigPopup {...popupProps} />
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
index 17f46c258d..d46563c430 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx
@@ -11,6 +11,8 @@ import ProviderConfigModal from './provider-config-modal'
 import Indicator from '@/app/components/header/indicator'
 import Switch from '@/app/components/base/switch'
 import Tooltip from '@/app/components/base/tooltip'
+import Divider from '@/app/components/base/divider'
+import cn from '@/utils/classnames'
 
 const I18N_PREFIX = 'app.tracing'
 
@@ -79,7 +81,6 @@ const ConfigPopup: FC<PopupProps> = ({
       className='ml-3'
       defaultValue={enabled}
       onChange={onStatusChange}
-      size='l'
       disabled={providerAllNotConfigured}
     />
   )
@@ -123,7 +124,7 @@ const ConfigPopup: FC<PopupProps> = ({
   )
 
   const configuredProviderPanel = () => {
-    const configuredPanels: ProviderPanel[] = []
+    const configuredPanels: any[] = []
 
     if (langSmithConfig)
       configuredPanels.push(langSmithPanel)
@@ -138,7 +139,7 @@ const ConfigPopup: FC<PopupProps> = ({
   }
 
   const moreProviderPanel = () => {
-    const notConfiguredPanels: ProviderPanel[] = []
+    const notConfiguredPanels: any[] = []
 
     if (!langSmithConfig)
       notConfiguredPanels.push(langSmithPanel)
@@ -161,15 +162,15 @@ const ConfigPopup: FC<PopupProps> = ({
   }
 
   return (
-    <div className='w-[420px] p-4 rounded-2xl bg-white border-[0.5px] border-black/5 shadow-lg'>
+    <div className='w-[420px] p-4 rounded-2xl bg-components-panel-bg border-[0.5px] border-components-panel-border shadow-xl'>
       <div className='flex justify-between items-center'>
         <div className='flex items-center'>
           <TracingIcon size='md' className='mr-2' />
-          <div className='leading-[120%] text-[18px] font-semibold text-gray-900'>{t(`${I18N_PREFIX}.tracing`)}</div>
+          <div className='text-text-primary title-2xl-semibold'>{t(`${I18N_PREFIX}.tracing`)}</div>
         </div>
         <div className='flex items-center'>
           <Indicator color={enabled ? 'green' : 'gray'} />
-          <div className='ml-1.5 text-xs font-semibold text-gray-500 uppercase'>
+          <div className={cn('ml-1 system-xs-semibold-uppercase text-text-tertiary', enabled && 'text-util-colors-green-green-600')}>
             {t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)}
           </div>
           {!readOnly && (
@@ -185,19 +186,18 @@ const ConfigPopup: FC<PopupProps> = ({
                 : switchContent}
             </>
           )}
-
         </div>
       </div>
 
-      <div className='mt-2 leading-4 text-xs font-normal text-gray-500'>
+      <div className='mt-2 system-xs-regular text-text-tertiary'>
         {t(`${I18N_PREFIX}.tracingDescription`)}
       </div>
-      <div className='mt-3 h-px bg-gray-100'></div>
-      <div className='mt-3'>
+      <Divider className='my-3' />
+      <div className='relative'>
         {(providerAllConfigured || providerAllNotConfigured)
           ? (
             <>
-              <div className='leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}</div>
+              <div className='system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}</div>
               <div className='mt-2 space-y-2'>
                 {langSmithPanel}
                 {langfusePanel}
@@ -207,11 +207,11 @@ const ConfigPopup: FC<PopupProps> = ({
           )
           : (
             <>
-              <div className='leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
+              <div className='system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
               <div className='mt-2 space-y-2'>
                 {configuredProviderPanel()}
               </div>
-              <div className='mt-3 leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
+              <div className='mt-3 system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
               <div className='mt-2 space-y-2'>
                 {moreProviderPanel()}
               </div>
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx
index 87c84948be..84c48a6dde 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx
@@ -26,7 +26,7 @@ const Field: FC<Props> = ({
   return (
     <div className={cn(className)}>
       <div className='flex py-[7px]'>
-        <div className={cn(labelClassName, 'flex items-center h-[18px] text-[13px] font-medium text-gray-900')}>{label} </div>
+        <div className={cn(labelClassName, 'flex items-center h-[18px] text-[13px] font-medium text-text-primary')}>{label} </div>
         {isRequired && <span className='ml-0.5 text-xs font-semibold text-[#D92D20]'>*</span>}
       </div>
       <Input
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
index b62bb1d6d7..6df1466df8 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx
@@ -1,10 +1,13 @@
 'use client'
 import type { FC } from 'react'
 import React, { useCallback, useEffect, useState } from 'react'
+import {
+  RiArrowDownDoubleLine,
+} from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
 import { usePathname } from 'next/navigation'
 import { useBoolean } from 'ahooks'
-import type { LangFuseConfig, LangSmithConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
 import { TracingProvider } from './type'
 import TracingIcon from './tracing-icon'
 import ConfigButton from './config-button'
@@ -16,6 +19,7 @@ import type { TracingStatus } from '@/models/app'
 import Toast from '@/app/components/base/toast'
 import { useAppContext } from '@/context/app-context'
 import Loading from '@/app/components/base/loading'
+import Divider from '@/app/components/base/divider'
 
 const I18N_PREFIX = 'app.tracing'
 
@@ -27,7 +31,7 @@ const Title = ({
   const { t } = useTranslation()
 
   return (
-    <div className={cn(className, 'flex items-center text-lg font-semibold text-gray-900')}>
+    <div className={cn('flex items-center system-xl-semibold text-text-primary', className)}>
       {t('common.appMenus.overview')}
     </div>
   )
@@ -102,7 +106,7 @@ const Panel: FC = () => {
     const { tracing_config } = await doFetchTracingConfig({ appId, provider })
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(tracing_config as LangSmithConfig)
-    else if (provider === TracingProvider.langSmith)
+    else if (provider === TracingProvider.langfuse)
       setLangFuseConfig(tracing_config as LangFuseConfig)
     else if (provider === TracingProvider.opik)
       setOpikConfig(tracing_config as OpikConfig)
@@ -111,7 +115,7 @@ const Panel: FC = () => {
   const handleTracingConfigRemoved = (provider: TracingProvider) => {
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(null)
-    else if (provider === TracingProvider.langSmith)
+    else if (provider === TracingProvider.langfuse)
       setLangFuseConfig(null)
     else if (provider === TracingProvider.opik)
       setOpikConfig(null)
@@ -151,46 +155,72 @@ const Panel: FC = () => {
   return (
     <div className={cn('mb-3 flex justify-between items-center')}>
       <Title className='h-[41px]' />
-      <div className='flex items-center p-2 rounded-xl border-[0.5px] border-gray-200 shadow-xs cursor-pointer hover:bg-gray-100' onClick={showPopup}>
-        {!inUseTracingProvider
-          ? <>
-            <TracingIcon size='md' className='mr-2' />
-            <div className='leading-5 text-sm font-semibold text-gray-700'>{t(`${I18N_PREFIX}.title`)}</div>
-          </>
-          : <InUseProviderIcon className='ml-1 h-4' />}
-
-        {hasConfiguredTracing && (
-          <div className='ml-4 mr-1 flex items-center'>
-            <Indicator color={enabled ? 'green' : 'gray'} />
-            <div className='ml-1.5 text-xs font-semibold text-gray-500 uppercase'>
-              {t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)}
+      <div
+        className={cn(
+          'flex items-center p-2 rounded-xl bg-background-default-dodge border-t border-l-[0.5px] border-effects-highlight shadow-xs cursor-pointer hover:bg-background-default-lighter hover:border-effects-highlight-lightmode-off',
+          controlShowPopup && 'bg-background-default-lighter border-effects-highlight-lightmode-off',
+        )}
+        onClick={showPopup}
+      >
+        {!inUseTracingProvider && (
+          <>
+            <TracingIcon size='md' />
+            <div className='mx-2 system-sm-semibold text-text-secondary'>{t(`${I18N_PREFIX}.title`)}</div>
+            <div className='flex items-center' onClick={e => e.stopPropagation()}>
+              <ConfigButton
+                appId={appId}
+                readOnly={readOnly}
+                hasConfigured={false}
+                enabled={enabled}
+                onStatusChange={handleTracingEnabledChange}
+                chosenProvider={inUseTracingProvider}
+                onChooseProvider={handleChooseProvider}
+                langSmithConfig={langSmithConfig}
+                langFuseConfig={langFuseConfig}
+                opikConfig={opikConfig}
+                onConfigUpdated={handleTracingConfigUpdated}
+                onConfigRemoved={handleTracingConfigRemoved}
+                controlShowPopup={controlShowPopup}
+              />
             </div>
-          </div>
+            <Divider type='vertical' className='h-3.5' />
+            <div className='p-1 rounded-md'>
+              <RiArrowDownDoubleLine className='w-4 h-4 text-text-tertiary' />
+            </div>
+          </>
         )}
-
         {hasConfiguredTracing && (
-          <div className='ml-2 w-px h-3.5 bg-gray-200'></div>
+          <>
+            <div className='ml-4 mr-1 flex items-center'>
+              <Indicator color={enabled ? 'green' : 'gray'} />
+              <div className='ml-1.5 system-xs-semibold-uppercase text-text-tertiary'>
+                {t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)}
+              </div>
+            </div>
+            <InUseProviderIcon className='ml-1 h-4' />
+            <Divider type='vertical' className='h-3.5' />
+            <div className='flex items-center' onClick={e => e.stopPropagation()}>
+              <ConfigButton
+                appId={appId}
+                readOnly={readOnly}
+                hasConfigured
+                className='ml-2'
+                enabled={enabled}
+                onStatusChange={handleTracingEnabledChange}
+                chosenProvider={inUseTracingProvider}
+                onChooseProvider={handleChooseProvider}
+                langSmithConfig={langSmithConfig}
+                langFuseConfig={langFuseConfig}
+                opikConfig={opikConfig}
+                onConfigUpdated={handleTracingConfigUpdated}
+                onConfigRemoved={handleTracingConfigRemoved}
+                controlShowPopup={controlShowPopup}
+              />
+            </div>
+          </>
         )}
-        <div className='flex items-center' onClick={e => e.stopPropagation()}>
-          <ConfigButton
-            appId={appId}
-            readOnly={readOnly}
-            hasConfigured
-            className='ml-2'
-            enabled={enabled}
-            onStatusChange={handleTracingEnabledChange}
-            chosenProvider={inUseTracingProvider}
-            onChooseProvider={handleChooseProvider}
-            langSmithConfig={langSmithConfig}
-            langFuseConfig={langFuseConfig}
-            opikConfig={opikConfig}
-            onConfigUpdated={handleTracingConfigUpdated}
-            onConfigRemoved={handleTracingConfigRemoved}
-            controlShowPopup={controlShowPopup}
-          />
-        </div>
-      </div>
-    </div>
+      </div >
+    </div >
   )
 }
 export default React.memo(Panel)
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
index b813e9b134..e6a520648f 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx
@@ -17,6 +17,7 @@ import { LinkExternal02 } from '@/app/components/base/icons/src/vender/line/gene
 import Confirm from '@/app/components/base/confirm'
 import { addTracingConfig, removeTracingConfig, updateTracingConfig } from '@/service/apps'
 import Toast from '@/app/components/base/toast'
+import Divider from '@/app/components/base/divider'
 
 type Props = {
   appId: string
@@ -122,7 +123,8 @@ const ProviderConfigModal: FC<Props> = ({
     }
 
     if (type === TracingProvider.opik) {
-      const postData = config as OpikConfig
+      // todo: check field validity
+      // const postData = config as OpikConfig
     }
 
     return errorMessage
@@ -166,11 +168,11 @@ const ProviderConfigModal: FC<Props> = ({
         ? (
           <PortalToFollowElem open>
             <PortalToFollowElemContent className='w-full h-full z-[60]'>
-              <div className='fixed inset-0 flex items-center justify-center bg-black/[.25]'>
-                <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-white shadow-xl rounded-2xl overflow-y-auto'>
+              <div className='fixed inset-0 flex items-center justify-center bg-background-overlay'>
+                <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-components-panel-bg shadow-xl rounded-2xl overflow-y-auto'>
                   <div className='px-8 pt-8'>
                     <div className='flex justify-between items-center mb-4'>
-                      <div className='text-xl font-semibold text-gray-900'>{t(`${I18N_PREFIX}.title`)}{t(`app.tracing.${type}.title`)}</div>
+                      <div className='title-2xl-semibold text-text-primary'>{t(`${I18N_PREFIX}.title`)}{t(`app.tracing.${type}.title`)}</div>
                     </div>
 
                     <div className='space-y-4'>
@@ -276,16 +278,16 @@ const ProviderConfigModal: FC<Props> = ({
                         {isEdit && (
                           <>
                             <Button
-                              className='h-9 text-sm font-medium text-gray-700'
+                              className='h-9 text-sm font-medium text-text-secondary'
                               onClick={showRemoveConfirm}
                             >
                               <span className='text-[#D92D20]'>{t('common.operation.remove')}</span>
                             </Button>
-                            <div className='mx-3 w-px h-[18px] bg-gray-200'></div>
+                            <Divider className='mx-3 h-[18px]' />
                           </>
                         )}
                         <Button
-                          className='mr-2 h-9 text-sm font-medium text-gray-700'
+                          className='mr-2 h-9 text-sm font-medium text-text-secondary'
                           onClick={onCancel}
                         >
                           {t('common.operation.cancel')}
@@ -302,9 +304,9 @@ const ProviderConfigModal: FC<Props> = ({
 
                     </div>
                   </div>
-                  <div className='border-t-[0.5px] border-t-black/5'>
-                    <div className='flex justify-center items-center py-3 bg-gray-50 text-xs text-gray-500'>
-                      <Lock01 className='mr-1 w-3 h-3 text-gray-500' />
+                  <div className='border-t-[0.5px] border-divider-regular'>
+                    <div className='flex justify-center items-center py-3 bg-background-section-burn text-xs text-text-tertiary'>
+                      <Lock01 className='mr-1 w-3 h-3 text-text-tertiary' />
                       {t('common.modelProvider.encrypted.front')}
                       <a
                         className='text-primary-600 mx-1'
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
index 34e5bbeb0f..36221357a4 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx
@@ -1,11 +1,13 @@
 'use client'
 import type { FC } from 'react'
 import React, { useCallback } from 'react'
+import {
+  RiEqualizer2Line,
+} from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
 import { TracingProvider } from './type'
 import cn from '@/utils/classnames'
 import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing'
-import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
 import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general'
 
 const I18N_PREFIX = 'app.tracing'
@@ -62,34 +64,37 @@ const ProviderPanel: FC<Props> = ({
   }, [hasConfigured, isChosen, onChoose, readOnly])
   return (
     <div
-      className={cn(isChosen ? 'border-primary-400' : 'border-transparent', !isChosen && hasConfigured && !readOnly && 'cursor-pointer', 'px-4 py-3 rounded-xl border-[1.5px]  bg-gray-100')}
+      className={cn(
+        'px-4 py-3 rounded-xl border-[1.5px] bg-background-section-burn',
+        isChosen ? 'bg-background-section border-components-option-card-option-selected-border' : 'border-transparent',
+        !isChosen && hasConfigured && !readOnly && 'cursor-pointer',
+      )}
       onClick={handleChosen}
     >
       <div className={'flex justify-between items-center space-x-1'}>
         <div className='flex items-center'>
           <Icon className='h-6' />
-          {isChosen && <div className='ml-1 flex items-center h-4  px-1 rounded-[4px] border border-primary-500 leading-4 text-xs font-medium text-primary-500 uppercase '>{t(`${I18N_PREFIX}.inUse`)}</div>}
+          {isChosen && <div className='ml-1 flex items-center h-4 px-1 rounded-[4px] border border-text-accent-secondary system-2xs-medium-uppercase text-text-accent-secondary'>{t(`${I18N_PREFIX}.inUse`)}</div>}
         </div>
         {!readOnly && (
           <div className={'flex justify-between items-center space-x-1'}>
             {hasConfigured && (
-              <div className='flex px-2 items-center h-6 bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs cursor-pointer text-gray-700 space-x-1' onClick={viewBtnClick} >
-                <View className='w-3 h-3'/>
+              <div className='flex px-2 items-center h-6 bg-components-button-secondary-bg rounded-md border-[0.5px] border-components-button-secondary-border shadow-xs cursor-pointer text-text-secondary space-x-1' onClick={viewBtnClick} >
+                <View className='w-3 h-3' />
                 <div className='text-xs font-medium'>{t(`${I18N_PREFIX}.view`)}</div>
               </div>
             )}
             <div
-              className='flex px-2 items-center h-6 bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs cursor-pointer text-gray-700 space-x-1'
+              className='flex px-2 items-center h-6 bg-components-button-secondary-bg rounded-md border-[0.5px] border-components-button-secondary-border shadow-xs cursor-pointer text-text-secondary space-x-1'
               onClick={handleConfigBtnClick}
             >
-              <Settings04 className='w-3 h-3' />
+              <RiEqualizer2Line className='w-3 h-3' />
               <div className='text-xs font-medium'>{t(`${I18N_PREFIX}.config`)}</div>
             </div>
           </div>
         )}
-
       </div>
-      <div className='mt-2 leading-4 text-xs font-normal text-gray-500'>
+      <div className='mt-2 system-xs-regular text-text-tertiary'>
         {t(`${I18N_PREFIX}.${type}.description`)}
       </div>
     </div>
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx
deleted file mode 100644
index 934eb681b9..0000000000
--- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx
+++ /dev/null
@@ -1,45 +0,0 @@
-'use client'
-import { ChevronDoubleDownIcon } from '@heroicons/react/20/solid'
-import type { FC } from 'react'
-import { useTranslation } from 'react-i18next'
-import React, { useCallback } from 'react'
-import Tooltip from '@/app/components/base/tooltip'
-
-const I18N_PREFIX = 'app.tracing'
-
-type Props = {
-  isFold: boolean
-  onFoldChange: (isFold: boolean) => void
-}
-
-const ToggleFoldBtn: FC<Props> = ({
-  isFold,
-  onFoldChange,
-}) => {
-  const { t } = useTranslation()
-
-  const handleFoldChange = useCallback((e: React.MouseEvent<HTMLDivElement>) => {
-    e.stopPropagation()
-    onFoldChange(!isFold)
-  }, [isFold, onFoldChange])
-  return (
-    // text-[0px] to hide spacing between tooltip elements
-    <div className='shrink-0 cursor-pointer text-[0px]' onClick={handleFoldChange}>
-      <Tooltip
-        popupContent={t(`${I18N_PREFIX}.${isFold ? 'expand' : 'collapse'}`)}
-      >
-        {isFold && (
-          <div className='p-1 rounded-md text-gray-500 hover:text-gray-800 hover:bg-black/5'>
-            <ChevronDoubleDownIcon className='w-4 h-4' />
-          </div>
-        )}
-        {!isFold && (
-          <div className='p-2 rounded-lg text-gray-500 border-[0.5px] border-gray-200 hover:text-gray-800 hover:bg-black/5'>
-            <ChevronDoubleDownIcon className='w-4 h-4 transform rotate-180' />
-          </div>
-        )}
-      </Tooltip>
-    </div>
-  )
-}
-export default React.memo(ToggleFoldBtn)
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx
index 211b0b3677..dda198fc89 100644
--- a/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx
+++ b/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx
@@ -15,6 +15,7 @@ const AppDetail: FC<IAppDetail> = ({ children }) => {
   useEffect(() => {
     if (isCurrentWorkspaceDatasetOperator)
       return router.replace('/datasets')
+  // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [isCurrentWorkspaceDatasetOperator])
 
   return (
diff --git a/web/app/(commonLayout)/apps/AppCard.tsx b/web/app/(commonLayout)/apps/AppCard.tsx
index dabe75ee62..e7e1251897 100644
--- a/web/app/(commonLayout)/apps/AppCard.tsx
+++ b/web/app/(commonLayout)/apps/AppCard.tsx
@@ -71,6 +71,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => {
       })
     }
     setShowConfirmDelete(false)
+  // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [app.id])
 
   const onEdit: CreateAppModalProps['onConfirm'] = useCallback(async ({
@@ -100,7 +101,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => {
         onRefresh()
       mutateApps()
     }
-    catch (e) {
+    catch {
       notify({ type: 'error', message: t('app.editFailed') })
     }
   }, [app.id, mutateApps, notify, onRefresh, t])
@@ -127,7 +128,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => {
       onPlanInfoChanged()
       getRedirection(isCurrentWorkspaceEditor, newApp, push)
     }
-    catch (e) {
+    catch {
       notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
     }
   }
@@ -144,7 +145,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => {
       a.download = `${app.name}.yml`
       a.click()
     }
-    catch (e) {
+    catch {
       notify({ type: 'error', message: t('app.exportFailed') })
     }
   }
@@ -163,7 +164,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => {
       }
       setSecretEnvList(list)
     }
-    catch (e) {
+    catch {
       notify({ type: 'error', message: t('app.exportFailed') })
     }
   }
diff --git a/web/app/(commonLayout)/datasets/ApiServer.tsx b/web/app/(commonLayout)/datasets/ApiServer.tsx
index 0ed2663088..82d96c1987 100644
--- a/web/app/(commonLayout)/datasets/ApiServer.tsx
+++ b/web/app/(commonLayout)/datasets/ApiServer.tsx
@@ -30,7 +30,7 @@ const ApiServer: FC<ApiServerProps> = ({
         {t('appApi.ok')}
       </div>
       <SecretKeyButton
-        className='flex-shrink-0 !h-8 bg-white'
+        className='shrink-0 !h-8 bg-white'
       />
     </div>
   )
diff --git a/web/app/(commonLayout)/datasets/Doc.tsx b/web/app/(commonLayout)/datasets/Doc.tsx
index f7a7e8b063..f56a5bc909 100644
--- a/web/app/(commonLayout)/datasets/Doc.tsx
+++ b/web/app/(commonLayout)/datasets/Doc.tsx
@@ -78,7 +78,7 @@ const Doc = ({ apiBaseUrl }: DocProps) => {
                   onClick={() => setIsTocExpanded(false)}
                   className="text-gray-500 hover:text-gray-700"
                 >
-                ✕
+                  ✕
                 </button>
               </div>
               <ul className="space-y-2">
diff --git a/web/app/(commonLayout)/plugins/page.tsx b/web/app/(commonLayout)/plugins/page.tsx
new file mode 100644
index 0000000000..a3066311b2
--- /dev/null
+++ b/web/app/(commonLayout)/plugins/page.tsx
@@ -0,0 +1,20 @@
+import PluginPage from '@/app/components/plugins/plugin-page'
+import PluginsPanel from '@/app/components/plugins/plugin-page/plugins-panel'
+import Marketplace from '@/app/components/plugins/marketplace'
+import { getLocaleOnServer } from '@/i18n/server'
+
+const PluginList = async () => {
+  const locale = await getLocaleOnServer()
+  return (
+    <PluginPage
+      plugins={<PluginsPanel />}
+      marketplace={<Marketplace locale={locale} pluginTypeSwitchClassName='top-[60px]' searchBoxAutoAnimate={false} />}
+    />
+  )
+}
+
+export const metadata = {
+  title: 'Plugins - Dify',
+}
+
+export default PluginList
diff --git a/web/app/account/avatar.tsx b/web/app/account/avatar.tsx
index 47e8e75747..bd9cbec4c4 100644
--- a/web/app/account/avatar.tsx
+++ b/web/app/account/avatar.tsx
@@ -8,7 +8,7 @@ import { logout } from '@/service/common'
 import { useAppContext } from '@/context/app-context'
 import { LogOut01 } from '@/app/components/base/icons/src/vender/line/general'
 
-export type IAppSelector = {
+export interface IAppSelector {
   isMobile: boolean
 }
 
diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx
index 6600920ba7..6d56f6ad86 100644
--- a/web/app/components/app-sidebar/basic.tsx
+++ b/web/app/components/app-sidebar/basic.tsx
@@ -60,12 +60,12 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
   return (
     <div className="flex items-center grow">
       {icon && icon_background && iconType === 'app' && (
-        <div className='flex-shrink-0 mr-3'>
+        <div className='shrink-0 mr-3'>
           <AppIcon icon={icon} background={icon_background} />
         </div>
       )}
       {iconType !== 'app'
-        && <div className='flex-shrink-0 mr-3'>
+        && <div className='shrink-0 mr-3'>
           {ICON_MAP[iconType]}
         </div>
 
diff --git a/web/app/components/app/annotation/filter.tsx b/web/app/components/app/annotation/filter.tsx
index d741f6de12..2f1cde22e4 100644
--- a/web/app/components/app/annotation/filter.tsx
+++ b/web/app/components/app/annotation/filter.tsx
@@ -6,11 +6,11 @@ import useSWR from 'swr'
 import Input from '@/app/components/base/input'
 import { fetchAnnotationsCount } from '@/service/log'
 
-export type QueryParam = {
+export interface QueryParam {
   keyword?: string
 }
 
-type IFilterProps = {
+interface IFilterProps {
   appId: string
   queryParams: QueryParam
   setQueryParams: (v: QueryParam) => void
diff --git a/web/app/components/app/annotation/list.tsx b/web/app/components/app/annotation/list.tsx
index 39a495085e..8944c04851 100644
--- a/web/app/components/app/annotation/list.tsx
+++ b/web/app/components/app/annotation/list.tsx
@@ -9,7 +9,7 @@ import ActionButton from '@/app/components/base/action-button'
 import useTimestamp from '@/hooks/use-timestamp'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   list: AnnotationItem[]
   onRemove: (id: string) => void
   onView: (item: AnnotationItem) => void
diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx
index 3ba35a7336..a2260a889d 100644
--- a/web/app/components/app/app-publisher/index.tsx
+++ b/web/app/components/app/app-publisher/index.tsx
@@ -143,22 +143,19 @@ const AppPublisher = ({
         </Button>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='z-[11]'>
-        <div className='w-[336px] bg-white rounded-2xl border-[0.5px] border-gray-200 shadow-xl'>
+        <div className='w-[336px] bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl'>
           <div className='p-4 pt-3'>
-            <div className='flex items-center h-6 text-xs font-medium text-gray-500 uppercase'>
+            <div className='flex items-center h-6 system-xs-medium-uppercase text-text-tertiary'>
               {publishedAt ? t('workflow.common.latestPublished') : t('workflow.common.currentDraftUnpublished')}
             </div>
             {publishedAt
               ? (
                 <div className='flex justify-between items-center h-[18px]'>
-                  <div className='flex items-center mt-[3px] mb-[3px] leading-[18px] text-[13px] font-medium text-gray-700'>
+                  <div className='flex items-center mt-[3px] mb-[3px] leading-[18px] text-[13px] font-medium text-text-secondary'>
                     {t('workflow.common.publishedAt')} {formatTimeFromNow(publishedAt)}
                   </div>
                   <Button
-                    className={`
-                      ml-2 px-2 text-primary-600
-                      ${published && 'text-primary-300 border-gray-100'}
-                    `}
+                    variant='secondary-accent'
                     size='small'
                     onClick={handleRestore}
                     disabled={published}
@@ -168,7 +165,7 @@ const AppPublisher = ({
                 </div>
               )
               : (
-                <div className='flex items-center h-[18px] leading-[18px] text-[13px] font-medium text-gray-700'>
+                <div className='flex items-center h-[18px] leading-[18px] text-[13px] font-medium text-text-secondary'>
                   {t('workflow.common.autoSaved')} · {Boolean(draftUpdatedAt) && formatTimeFromNow(draftUpdatedAt!)}
                 </div>
               )}
@@ -196,7 +193,7 @@ const AppPublisher = ({
               )
             }
           </div>
-          <div className='p-4 pt-3 border-t-[0.5px] border-t-black/5'>
+          <div className='p-4 pt-3 border-t-[0.5px] border-divider-regular'>
             <SuggestedAction disabled={!publishedAt} link={appURL} icon={<PlayCircle />}>{t('workflow.common.runApp')}</SuggestedAction>
             {appDetail?.mode === 'workflow'
               ? (
diff --git a/web/app/components/app/app-publisher/publish-with-multiple-model.tsx b/web/app/components/app/app-publisher/publish-with-multiple-model.tsx
index 6d96faeaa5..8dd728442c 100644
--- a/web/app/components/app/app-publisher/publish-with-multiple-model.tsx
+++ b/web/app/components/app/app-publisher/publish-with-multiple-model.tsx
@@ -77,21 +77,21 @@ const PublishWithMultipleModel: FC<PublishWithMultipleModelProps> = ({
         </Button>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='mt-1 w-[288px] z-50'>
-        <div className='p-1 rounded-lg border-[0.5px] border-gray-200 shadow-lg bg-white'>
-          <div className='flex items-center px-3 h-[22px] text-xs font-medium text-gray-500'>
+        <div className='p-1 rounded-lg border-[0.5px] border-components-panel-border shadow-lg bg-components-panel-bg'>
+          <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'>
             {t('appDebug.publishAs')}
           </div>
           {
             validModelConfigs.map((item, index) => (
               <div
                 key={item.id}
-                className='flex items-center h-8 px-3 text-sm text-gray-500 rounded-lg cursor-pointer hover:bg-gray-100'
+                className='flex items-center h-8 px-3 text-sm text-text-tertiary rounded-lg cursor-pointer hover:bg-state-base-hover'
                 onClick={() => handleSelect(item)}
               >
                 <span className='italic min-w-[18px]'>#{index + 1}</span>
                 <ModelIcon modelName={item.model} provider={item.providerItem} className='ml-2' />
                 <div
-                  className='ml-1 text-gray-700 truncate'
+                  className='ml-1 text-text-secondary truncate'
                   title={item.modelItem.label[language]}
                 >
                   {item.modelItem.label[language]}
diff --git a/web/app/components/app/app-publisher/suggested-action.tsx b/web/app/components/app/app-publisher/suggested-action.tsx
index a371eafde0..6099b2e7bb 100644
--- a/web/app/components/app/app-publisher/suggested-action.tsx
+++ b/web/app/components/app/app-publisher/suggested-action.tsx
@@ -14,8 +14,8 @@ const SuggestedAction = ({ icon, link, disabled, children, className, ...props }
     target='_blank'
     rel='noreferrer'
     className={classNames(
-      'flex justify-start items-center gap-2 h-[34px] px-2.5 bg-gray-100 rounded-lg transition-colors [&:not(:first-child)]:mt-1',
-      disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'hover:bg-primary-50 hover:text-primary-600 cursor-pointer',
+      'flex justify-start items-center gap-2 h-[34px] px-2.5 bg-background-section-burn rounded-lg transition-colors text-text-secondary [&:not(:first-child)]:mt-1',
+      disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'hover:bg-state-accent-hover hover:text-text-accent cursor-pointer',
       className,
     )}
     {...props}
diff --git a/web/app/components/app/configuration/base/feature-panel/index.tsx b/web/app/components/app/configuration/base/feature-panel/index.tsx
index 9c4adbdd2d..2ee0ae0d69 100644
--- a/web/app/components/app/configuration/base/feature-panel/index.tsx
+++ b/web/app/components/app/configuration/base/feature-panel/index.tsx
@@ -23,7 +23,7 @@ const FeaturePanel: FC<IFeaturePanelProps> = ({
   children,
 }) => {
   return (
-    <div className={cn('rounded-xl border-t-[0.5px] border-l-[0.5px] bg-background-section-burn pb-3', noBodySpacing && '!pb-0', className)}>
+    <div className={cn('rounded-xl border-t-[0.5px] border-l-[0.5px] border-effects-highlight bg-background-section-burn pb-3', noBodySpacing && 'pb-0', className)}>
       {/* Header */}
       <div className={cn('px-3 pt-2', hasHeaderBottomBorder && 'border-b border-divider-subtle')}>
         <div className='flex justify-between items-center h-8'>
diff --git a/web/app/components/app/configuration/base/operation-btn/index.tsx b/web/app/components/app/configuration/base/operation-btn/index.tsx
index e9ffd14257..7a0c8892ea 100644
--- a/web/app/components/app/configuration/base/operation-btn/index.tsx
+++ b/web/app/components/app/configuration/base/operation-btn/index.tsx
@@ -2,7 +2,10 @@
 import type { FC } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
-import { PlusIcon } from '@heroicons/react/20/solid'
+import {
+  RiAddLine,
+  RiEditLine,
+} from '@remixicon/react'
 import cn from '@/utils/classnames'
 
 export type IOperationBtnProps = {
@@ -13,11 +16,8 @@ export type IOperationBtnProps = {
 }
 
 const iconMap = {
-  add: <PlusIcon className='w-3.5 h-3.5' />,
-  edit: (<svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg">
-    <path d="M6.99998 11.6666H12.25M1.75 11.6666H2.72682C3.01217 11.6666 3.15485 11.6666 3.28912 11.6344C3.40816 11.6058 3.52196 11.5587 3.62635 11.4947C3.74408 11.4226 3.84497 11.3217 4.04675 11.1199L11.375 3.79164C11.8583 3.30839 11.8583 2.52488 11.375 2.04164C10.8918 1.55839 10.1083 1.55839 9.62501 2.04164L2.29674 9.3699C2.09496 9.57168 1.99407 9.67257 1.92192 9.7903C1.85795 9.89469 1.81081 10.0085 1.78224 10.1275C1.75 10.2618 1.75 10.4045 1.75 10.6898V11.6666Z" stroke="#344054" strokeWidth="1.25" strokeLinecap="round" strokeLinejoin="round" />
-  </svg>
-  ),
+  add: <RiAddLine className='w-3.5 h-3.5' />,
+  edit: <RiEditLine className='w-3.5 h-3.5' />,
 }
 
 const OperationBtn: FC<IOperationBtnProps> = ({
@@ -29,7 +29,7 @@ const OperationBtn: FC<IOperationBtnProps> = ({
   const { t } = useTranslation()
   return (
     <div
-      className={cn(className, 'flex items-center rounded-md h-7 px-3 space-x-1 text-gray-700 cursor-pointer hover:bg-gray-200 select-none')}
+      className={cn('flex items-center rounded-md h-7 px-3 space-x-1 text-text-secondary cursor-pointer hover:bg-state-base-hover select-none', className)}
       onClick={onClick}>
       <div>
         {iconMap[type]}
diff --git a/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx b/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx
index 87b811f637..e0ef97e247 100644
--- a/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx
+++ b/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx
@@ -28,8 +28,8 @@ const EditModal: FC<Props> = ({
       isShow={isShow}
       onClose={onClose}
     >
-      <div className={'mt-6 font-medium text-sm leading-[21px] text-gray-900'}>{t('appDebug.feature.conversationHistory.editModal.userPrefix')}</div>
-      <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-gray-100'}
+      <div className={'mt-6 font-medium text-sm leading-[21px] text-text-primary'}>{t('appDebug.feature.conversationHistory.editModal.userPrefix')}</div>
+      <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-components-input-bg-normal'}
         value={tempData.user_prefix}
         onChange={e => setTempData({
           ...tempData,
@@ -37,8 +37,8 @@ const EditModal: FC<Props> = ({
         })}
       />
 
-      <div className={'mt-6 font-medium text-sm leading-[21px] text-gray-900'}>{t('appDebug.feature.conversationHistory.editModal.assistantPrefix')}</div>
-      <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-gray-100'}
+      <div className={'mt-6 font-medium text-sm leading-[21px] text-text-primary'}>{t('appDebug.feature.conversationHistory.editModal.assistantPrefix')}</div>
+      <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-components-input-bg-normal'}
         value={tempData.assistant_prefix}
         onChange={e => setTempData({
           ...tempData,
@@ -48,8 +48,8 @@ const EditModal: FC<Props> = ({
       />
 
       <div className='mt-10 flex justify-end'>
-        <Button className='mr-2 flex-shrink-0' onClick={onClose}>{t('common.operation.cancel')}</Button>
-        <Button variant='primary' className='flex-shrink-0' onClick={() => onSave(tempData)} loading={saveLoading}>{t('common.operation.save')}</Button>
+        <Button className='mr-2 shrink-0' onClick={onClose}>{t('common.operation.cancel')}</Button>
+        <Button variant='primary' className='shrink-0' onClick={() => onSave(tempData)} loading={saveLoading}>{t('common.operation.save')}</Button>
       </div>
     </Modal>
   )
diff --git a/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx b/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx
index 199f9598a4..5a06111eac 100644
--- a/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx
+++ b/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx
@@ -30,20 +30,20 @@ const HistoryPanel: FC<Props> = ({
         </div>
       }
       headerIcon={
-        <div className='p-1 rounded-md bg-white shadow-xs'>
+        <div className='p-1 rounded-md shadow-xs'>
           <MessageClockCircle className='w-4 h-4 text-[#DD2590]' />
         </div>}
       headerRight={
         <div className='flex items-center'>
-          <div className='text-xs text-gray-500'>{t('appDebug.feature.conversationHistory.description')}</div>
-          <div className='ml-3 w-[1px] h-[14px] bg-gray-200'></div>
+          <div className='text-xs text-text-tertiary'>{t('appDebug.feature.conversationHistory.description')}</div>
+          <div className='ml-3 w-[1px] h-[14px] bg-divider-regular'></div>
           <OperationBtn type="edit" onClick={onShowEditModal} />
         </div>
       }
       noBodySpacing
     >
       {showWarning && (
-        <div className='flex justify-between py-2 px-3 rounded-b-xl bg-[#FFFAEB] text-xs text-gray-700'>
+        <div className='flex justify-between py-2 px-3 rounded-b-xl bg-background-section-burn text-xs text-text-secondary'>
           <div>{t('appDebug.feature.conversationHistory.tip')}
             <a href={`${locale === LanguagesSupported[1]
               ? 'https://docs.dify.ai/v/zh-hans/guides/application-design/prompt-engineering'
diff --git a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx
index cf65e3522d..1987013698 100644
--- a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx
+++ b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx
@@ -9,7 +9,7 @@ import ConfirmAddVar from './confirm-add-var'
 import s from './style.module.css'
 import PromptEditorHeightResizeWrap from './prompt-editor-height-resize-wrap'
 import cn from '@/utils/classnames'
-import { type PromptVariable } from '@/models/debug'
+import type { PromptVariable } from '@/models/debug'
 import Tooltip from '@/app/components/base/tooltip'
 import type { CompletionParams } from '@/types/app'
 import { AppType } from '@/types/app'
diff --git a/web/app/components/app/configuration/config-var/config-modal/field.tsx b/web/app/components/app/configuration/config-var/config-modal/field.tsx
index 5052f988d7..2c8c788e5e 100644
--- a/web/app/components/app/configuration/config-var/config-modal/field.tsx
+++ b/web/app/components/app/configuration/config-var/config-modal/field.tsx
@@ -3,7 +3,7 @@ import type { FC } from 'react'
 import React from 'react'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   className?: string
   title: string
   children: JSX.Element
diff --git a/web/app/components/app/configuration/config-var/config-string/index.tsx b/web/app/components/app/configuration/config-var/config-string/index.tsx
index 719ad8ee13..ef3b3d8d4a 100644
--- a/web/app/components/app/configuration/config-var/config-string/index.tsx
+++ b/web/app/components/app/configuration/config-var/config-string/index.tsx
@@ -3,7 +3,7 @@ import type { FC } from 'react'
 import React, { useEffect } from 'react'
 import Input from '@/app/components/base/input'
 
-export type IConfigStringProps = {
+export interface IConfigStringProps {
   value: number | undefined
   maxLength: number
   modelId: string
@@ -28,7 +28,7 @@ const ConfigString: FC<IConfigStringProps> = ({
         min={1}
         value={value || ''}
         onChange={(e) => {
-          let value = parseInt(e.target.value, 10)
+          let value = Number.parseInt(e.target.value, 10)
           if (value > maxLength)
             value = maxLength
 
diff --git a/web/app/components/app/configuration/config-var/index.tsx b/web/app/components/app/configuration/config-var/index.tsx
index 67bc37385e..b579d66954 100644
--- a/web/app/components/app/configuration/config-var/index.tsx
+++ b/web/app/components/app/configuration/config-var/index.tsx
@@ -3,26 +3,17 @@ import type { FC } from 'react'
 import React, { useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
-import type { Timeout } from 'ahooks/lib/useRequest/src/types'
 import { useContext } from 'use-context-selector'
 import produce from 'immer'
-import {
-  RiDeleteBinLine,
-} from '@remixicon/react'
 import Panel from '../base/feature-panel'
 import EditModal from './config-modal'
-import IconTypeIcon from './input-type-icon'
-import type { IInputTypeIconProps } from './input-type-icon'
-import s from './style.module.css'
+import VarItem from './var-item'
 import SelectVarType from './select-var-type'
-import { BracketsX as VarIcon } from '@/app/components/base/icons/src/vender/line/development'
 import Tooltip from '@/app/components/base/tooltip'
 import type { PromptVariable } from '@/models/debug'
-import { DEFAULT_VALUE_MAX_LEN, getMaxVarNameLength } from '@/config'
-import { checkKeys, getNewVar } from '@/utils/var'
-import Switch from '@/app/components/base/switch'
+import { DEFAULT_VALUE_MAX_LEN } from '@/config'
+import { getNewVar } from '@/utils/var'
 import Toast from '@/app/components/base/toast'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
 import Confirm from '@/app/components/base/confirm'
 import ConfigContext from '@/context/debug-configuration'
 import { AppType } from '@/types/app'
@@ -50,8 +41,6 @@ export type IConfigVarProps = {
   onPromptVariablesChange?: (promptVariables: PromptVariable[]) => void
 }
 
-let conflictTimer: Timeout
-
 const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVariablesChange }) => {
   const { t } = useTranslation()
   const {
@@ -61,19 +50,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar
   const { eventEmitter } = useEventEmitterContextContext()
 
   const hasVar = promptVariables.length > 0
-  const updatePromptVariable = (key: string, updateKey: string, newValue: string | boolean) => {
-    const newPromptVariables = promptVariables.map((item) => {
-      if (item.key === key) {
-        return {
-          ...item,
-          [updateKey]: newValue,
-        }
-      }
-
-      return item
-    })
-    onPromptVariablesChange?.(newPromptVariables)
-  }
   const [currIndex, setCurrIndex] = useState<number>(-1)
   const currItem = currIndex !== -1 ? promptVariables[currIndex] : null
   const currItemToEdit: InputVar | null = (() => {
@@ -106,55 +82,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar
 
     onPromptVariablesChange?.(newPromptVariables)
   }
-  const updatePromptKey = (index: number, newKey: string) => {
-    clearTimeout(conflictTimer)
-    const { isValid, errorKey, errorMessageKey } = checkKeys([newKey], true)
-    if (!isValid) {
-      Toast.notify({
-        type: 'error',
-        message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: errorKey }),
-      })
-      return
-    }
-
-    const newPromptVariables = promptVariables.map((item, i) => {
-      if (i === index) {
-        return {
-          ...item,
-          key: newKey,
-        }
-      }
-      return item
-    })
-
-    conflictTimer = setTimeout(() => {
-      const isKeyExists = promptVariables.some(item => item.key?.trim() === newKey.trim())
-      if (isKeyExists) {
-        Toast.notify({
-          type: 'error',
-          message: t('appDebug.varKeyError.keyAlreadyExists', { key: newKey }),
-        })
-      }
-    }, 1000)
-
-    onPromptVariablesChange?.(newPromptVariables)
-  }
-
-  const updatePromptNameIfNameEmpty = (index: number, newKey: string) => {
-    if (!newKey)
-      return
-    const newPromptVariables = promptVariables.map((item, i) => {
-      if (i === index && !item.name) {
-        return {
-          ...item,
-          name: newKey,
-        }
-      }
-      return item
-    })
-
-    onPromptVariablesChange?.(newPromptVariables)
-  }
 
   const { setShowExternalDataToolModal } = useModalContext()
 
@@ -273,9 +200,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar
   return (
     <Panel
       className="mt-2"
-      headerIcon={
-        <VarIcon className='w-4 h-4 text-primary-500' />
-      }
       title={
         <div className='flex items-center'>
           <div className='mr-1'>{t('appDebug.variableTitle')}</div>
@@ -291,87 +215,27 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar
         </div>
       }
       headerRight={!readonly ? <SelectVarType onChange={handleAddVar} /> : null}
+      noBodySpacing
     >
       {!hasVar && (
-        <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.notSetVar')}</div>
+        <div className='mt-1 px-3 pb-3'>
+          <div className='pt-2 pb-1 text-xs text-text-tertiary'>{t('appDebug.notSetVar')}</div>
+        </div>
       )}
       {hasVar && (
-        <div className='rounded-lg border border-gray-200 bg-white overflow-x-auto'>
-          <table className={`${s.table} min-w-[440px] w-full max-w-full border-collapse border-0 rounded-lg text-sm`}>
-            <thead className="border-b  border-gray-200 text-gray-500 text-xs font-medium">
-              <tr className='uppercase'>
-                <td>{t('appDebug.variableTable.key')}</td>
-                <td>{t('appDebug.variableTable.name')}</td>
-                {!readonly && (
-                  <>
-                    <td>{t('appDebug.variableTable.optional')}</td>
-                    <td>{t('appDebug.variableTable.action')}</td>
-                  </>
-                )}
-
-              </tr>
-            </thead>
-            <tbody className="text-gray-700">
-              {promptVariables.map(({ key, name, type, required, config, icon, icon_background }, index) => (
-                <tr key={index} className="h-9 leading-9">
-                  <td className="w-[160px] border-b border-gray-100 pl-3">
-                    <div className='flex items-center space-x-1'>
-                      <IconTypeIcon type={type as IInputTypeIconProps['type']} className='text-gray-400' />
-                      {!readonly
-                        ? (
-                          <input
-                            type="text"
-                            placeholder="key"
-                            value={key}
-                            onChange={e => updatePromptKey(index, e.target.value)}
-                            onBlur={e => updatePromptNameIfNameEmpty(index, e.target.value)}
-                            maxLength={getMaxVarNameLength(name)}
-                            className="h-6 leading-6 block w-full rounded-md border-0 py-1.5 text-gray-900  placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200"
-                          />
-                        )
-                        : (
-                          <div className='h-6 leading-6 text-[13px] text-gray-700'>{key}</div>
-                        )}
-                    </div>
-                  </td>
-                  <td className="py-1 border-b border-gray-100">
-                    {!readonly
-                      ? (
-                        <input
-                          type="text"
-                          placeholder={key}
-                          value={name}
-                          onChange={e => updatePromptVariable(key, 'name', e.target.value)}
-                          maxLength={getMaxVarNameLength(name)}
-                          className="h-6 leading-6 block w-full rounded-md border-0 py-1.5 text-gray-900  placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200"
-                        />)
-                      : (
-                        <div className='h-6 leading-6 text-[13px] text-gray-700'>{name}</div>
-                      )}
-                  </td>
-                  {!readonly && (
-                    <>
-                      <td className='w-[84px] border-b border-gray-100'>
-                        <div className='flex items-center h-full'>
-                          <Switch defaultValue={!required} size='md' onChange={value => updatePromptVariable(key, 'required', !value)} />
-                        </div>
-                      </td>
-                      <td className='w-20  border-b border-gray-100'>
-                        <div className='flex h-full items-center space-x-1'>
-                          <div className=' p-1 rounded-md hover:bg-black/5 w-6 h-6 cursor-pointer' onClick={() => handleConfig({ type, key, index, name, config, icon, icon_background })}>
-                            <Settings01 className='w-4 h-4 text-gray-500' />
-                          </div>
-                          <div className=' p-1 rounded-md hover:bg-black/5 w-6 h-6 cursor-pointer' onClick={() => handleRemoveVar(index)} >
-                            <RiDeleteBinLine className='w-4 h-4 text-gray-500' />
-                          </div>
-                        </div>
-                      </td>
-                    </>
-                  )}
-                </tr>
-              ))}
-            </tbody>
-          </table>
+        <div className='flex flex-wrap mt-1 px-3 pb-3 justify-between'>
+          {promptVariables.map(({ key, name, type, required, config, icon, icon_background }, index) => (
+            <VarItem
+              key={index}
+              readonly={readonly}
+              name={key}
+              label={name}
+              required={!!required}
+              type={type}
+              onEdit={() => handleConfig({ type, key, index, name, config, icon, icon_background })}
+              onRemove={() => handleRemoveVar(index)}
+            />
+          ))}
         </div>
       )}
 
diff --git a/web/app/components/app/configuration/config-var/select-type-item/index.tsx b/web/app/components/app/configuration/config-var/select-type-item/index.tsx
index b71486b4eb..e88b44ce10 100644
--- a/web/app/components/app/configuration/config-var/select-type-item/index.tsx
+++ b/web/app/components/app/configuration/config-var/select-type-item/index.tsx
@@ -27,7 +27,7 @@ const SelectTypeItem: FC<ISelectTypeItemProps> = ({
   return (
     <div
       className={cn(
-        'flex flex-col justify-center items-center h-[58px] rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg space-y-1',
+        'flex flex-col justify-center items-center h-[58px] rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg space-y-1 text-text-secondary',
         selected ? 'border-[1.5px] border-components-option-card-option-selected-border bg-components-option-card-option-selected-bg shadow-xs system-xs-medium' : ' hover:border-components-option-card-option-border-hover hover:bg-components-option-card-option-bg-hover hover:shadow-xs cursor-pointer system-xs-regular')}
       onClick={onClick}
     >
diff --git a/web/app/components/app/configuration/config-var/style.module.css b/web/app/components/app/configuration/config-var/style.module.css
deleted file mode 100644
index 733755d0c8..0000000000
--- a/web/app/components/app/configuration/config-var/style.module.css
+++ /dev/null
@@ -1,12 +0,0 @@
-.table td {
-  padding-left: 12px;
-}
-
-.table thead td {
-  height: 33px;
-  line-height: 33px;
-}
-
-.table tbody tr:last-child td {
-  border-bottom: none;
-}
\ No newline at end of file
diff --git a/web/app/components/app/configuration/config-var/var-item.tsx b/web/app/components/app/configuration/config-var/var-item.tsx
new file mode 100644
index 0000000000..d695a09a15
--- /dev/null
+++ b/web/app/components/app/configuration/config-var/var-item.tsx
@@ -0,0 +1,74 @@
+'use client'
+import type { FC } from 'react'
+import React, { useState } from 'react'
+import {
+  RiDeleteBinLine,
+  RiEditLine,
+} from '@remixicon/react'
+import type { IInputTypeIconProps } from './input-type-icon'
+import IconTypeIcon from './input-type-icon'
+import { BracketsX as VarIcon } from '@/app/components/base/icons/src/vender/line/development'
+import Badge from '@/app/components/base/badge'
+import cn from '@/utils/classnames'
+
+type ItemProps = {
+  readonly?: boolean
+  name: string
+  label: string
+  required: boolean
+  type: string
+  onEdit: () => void
+  onRemove: () => void
+}
+
+const VarItem: FC<ItemProps> = ({
+  readonly,
+  name,
+  label,
+  required,
+  type,
+  onEdit,
+  onRemove,
+}) => {
+  const [isDeleting, setIsDeleting] = useState(false)
+
+  return (
+    <div className={cn('group relative flex items-center mb-1 last-of-type:mb-0  pl-2.5 py-2 pr-3 w-full rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs hover:shadow-sm hover:bg-components-panel-on-panel-item-bg-hover', isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border', readonly && 'cursor-not-allowed opacity-30')}>
+      <VarIcon className='shrink-0 mr-1 w-4 h-4 text-text-accent' />
+      <div className='grow'>
+        <div className='flex items-center h-[18px]'>
+          <div className='grow truncate' title={name}>
+            <span className='system-sm-medium text-text-secondary'>{name}</span>
+            <span className='px-1 system-xs-regular text-text-quaternary'>·</span>
+            <span className='system-xs-medium text-text-tertiary'>{label}</span>
+          </div>
+          <div className='group-hover:hidden flex items-center'>
+            {required && <Badge text='required' />}
+            <span className='pl-2 pr-1 system-xs-regular text-text-tertiary'>{type}</span>
+            <IconTypeIcon type={type as IInputTypeIconProps['type']} className='text-text-tertiary' />
+          </div>
+        </div>
+      </div>
+      {!readonly && (
+        <div className='hidden rounded-lg group-hover:flex items-center justify-end absolute right-0 top-0 bottom-0 pr-2 w-[124px]'>
+          <div
+            className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer'
+            onClick={onEdit}
+          >
+            <RiEditLine className='w-4 h-4 text-text-tertiary' />
+          </div>
+          <div
+            className='flex items-center justify-center w-6 h-6  text-text-tertiary cursor-pointer hover:text-text-destructive'
+            onClick={onRemove}
+            onMouseOver={() => setIsDeleting(true)}
+            onMouseLeave={() => setIsDeleting(false)}
+          >
+            <RiDeleteBinLine className='w-4 h-4' />
+          </div>
+        </div>
+      )}
+    </div>
+  )
+}
+
+export default VarItem
diff --git a/web/app/components/app/configuration/config-vision/index.tsx b/web/app/components/app/configuration/config-vision/index.tsx
index f30d3e4a0a..dd63b9db64 100644
--- a/web/app/components/app/configuration/config-vision/index.tsx
+++ b/web/app/components/app/configuration/config-vision/index.tsx
@@ -57,7 +57,7 @@ const ConfigVision: FC = () => {
     return null
 
   return (
-    <div className='mt-2 flex items-center gap-2 p-2 rounded-xl border-t-[0.5px] border-l-[0.5px] bg-background-section-burn'>
+    <div className='mt-2 flex items-center gap-2 p-2 rounded-xl border-effects-highlight border-t-[0.5px] border-l-[0.5px] bg-background-section-burn'>
       <div className='shrink-0 p-1'>
         <div className='p-1 rounded-lg border-[0.5px] border-divider-subtle shadow-xs bg-util-colors-indigo-indigo-600'>
           <Vision className='w-4 h-4 text-text-primary-on-surface' />
@@ -99,7 +99,7 @@ const ConfigVision: FC = () => {
           />
         </div> */}
         <ParamConfig />
-        <div className='ml-1 mr-3 w-[1px] h-3.5 bg-divider-subtle'></div>
+        <div className='ml-1 mr-3 w-[1px] h-3.5 bg-divider-regular'></div>
         <Switch
           defaultValue={isImageEnabled}
           onChange={handleChange}
diff --git a/web/app/components/app/configuration/config-vision/param-config-content.tsx b/web/app/components/app/configuration/config-vision/param-config-content.tsx
index fe6d1cd767..27a69a9aaf 100644
--- a/web/app/components/app/configuration/config-vision/param-config-content.tsx
+++ b/web/app/components/app/configuration/config-vision/param-config-content.tsx
@@ -41,11 +41,11 @@ const ParamConfigContent: FC = () => {
 
   return (
     <div>
-      <div className='leading-6 text-base font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.title')}</div>
+      <div className='leading-6 text-base font-semibold text-text-primary'>{t('appDebug.vision.visionSettings.title')}</div>
       <div className='pt-3 space-y-6'>
         <div>
           <div className='mb-2 flex items-center  space-x-1'>
-            <div className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.resolution')}</div>
+            <div className='leading-[18px] text-[13px] font-semibold text-text-secondary'>{t('appDebug.vision.visionSettings.resolution')}</div>
             <Tooltip
               popupContent={
                 <div className='w-[180px]' >
@@ -78,7 +78,7 @@ const ParamConfigContent: FC = () => {
           </div>
         </div>
         <div>
-          <div className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.uploadMethod')}</div>
+          <div className='mb-2 leading-[18px] text-[13px] font-semibold text-text-secondary'>{t('appDebug.vision.visionSettings.uploadMethod')}</div>
           <div className='flex items-center gap-1'>
             <OptionCard
               className='grow'
diff --git a/web/app/components/app/configuration/config-vision/param-config.tsx b/web/app/components/app/configuration/config-vision/param-config.tsx
index 8c63879391..6f932e9d1c 100644
--- a/web/app/components/app/configuration/config-vision/param-config.tsx
+++ b/web/app/components/app/configuration/config-vision/param-config.tsx
@@ -2,14 +2,15 @@
 import type { FC } from 'react'
 import { memo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import { RiSettings2Line } from '@remixicon/react'
 import ParamConfigContent from './param-config-content'
-import cn from '@/utils/classnames'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
+import Button from '@/app/components/base/button'
 import {
   PortalToFollowElem,
   PortalToFollowElemContent,
   PortalToFollowElemTrigger,
 } from '@/app/components/base/portal-to-follow-elem'
+import cn from '@/utils/classnames'
 
 const ParamsConfig: FC = () => {
   const { t } = useTranslation()
@@ -25,13 +26,13 @@ const ParamsConfig: FC = () => {
       }}
     >
       <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}>
-        <div className={cn('flex items-center rounded-md h-7 px-3 space-x-1 text-text-tertiary cursor-pointer hover:bg-gray-200', open && 'bg-gray-200')}>
-          <Settings01 className='w-3.5 h-3.5 ' />
-          <div className='ml-1 leading-[18px] text-xs font-medium '>{t('appDebug.voice.settings')}</div>
-        </div>
+        <Button variant='ghost' size='small' className={cn('')}>
+          <RiSettings2Line className='w-3.5 h-3.5' />
+          <div className='ml-1'>{t('appDebug.voice.settings')}</div>
+        </Button>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent style={{ zIndex: 50 }}>
-        <div className='w-80 sm:w-[412px] p-4 bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg space-y-3'>
+        <div className='w-80 sm:w-[412px] p-4 bg-components-panel-bg rounded-lg border-[0.5px] border-components-panel-border shadow-lg space-y-3'>
           <ParamConfigContent />
         </div>
       </PortalToFollowElemContent>
diff --git a/web/app/components/app/configuration/config/agent-setting-button.tsx b/web/app/components/app/configuration/config/agent-setting-button.tsx
index f50f77837e..91ba86b191 100644
--- a/web/app/components/app/configuration/config/agent-setting-button.tsx
+++ b/web/app/components/app/configuration/config/agent-setting-button.tsx
@@ -2,9 +2,9 @@
 import type { FC } from 'react'
 import React, { useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import { RiSettings2Line } from '@remixicon/react'
 import AgentSetting from './agent/agent-setting'
 import Button from '@/app/components/base/button'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
 import type { AgentConfig } from '@/models/debug'
 
 type Props = {
@@ -26,7 +26,7 @@ const AgentSettingButton: FC<Props> = ({
   return (
     <>
       <Button onClick={() => setIsShowAgentSetting(true)} className='shrink-0 mr-2'>
-        <Settings01 className='mr-1 w-4 h-4 text-gray-500' />
+        <RiSettings2Line className='mr-1 w-4 h-4 text-text-tertiary' />
         {t('appDebug.agent.setting.name')}
       </Button>
       {isShowAgentSetting && (
diff --git a/web/app/components/app/configuration/config/agent/agent-setting/index.tsx b/web/app/components/app/configuration/config/agent/agent-setting/index.tsx
index 959336457f..9fae3417b9 100644
--- a/web/app/components/app/configuration/config/agent/agent-setting/index.tsx
+++ b/web/app/components/app/configuration/config/agent/agent-setting/index.tsx
@@ -42,10 +42,10 @@ const AgentSetting: FC<Props> = ({
       }}
     >
       <div
-        className='w-[640px] flex flex-col h-full overflow-hidden bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl'
+        className='w-[640px] flex flex-col h-full overflow-hidden bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl'
       >
-        <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'>
-          <div className='flex flex-col text-base font-semibold text-gray-900'>
+        <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'>
+          <div className='flex flex-col text-base font-semibold text-text-primary'>
             <div className='leading-6'>{t('appDebug.agent.setting.name')}</div>
           </div>
           <div className='flex items-center'>
@@ -53,7 +53,7 @@ const AgentSetting: FC<Props> = ({
               onClick={onCancel}
               className='flex justify-center items-center w-6 h-6 cursor-pointer'
             >
-              <RiCloseLine className='w-4 h-4 text-gray-500' />
+              <RiCloseLine className='w-4 h-4 text-text-tertiary' />
             </div>
           </div>
         </div>
@@ -70,7 +70,7 @@ const AgentSetting: FC<Props> = ({
             name={t('appDebug.agent.agentMode')}
             description={t('appDebug.agent.agentModeDes')}
           >
-            <div className='leading-[18px] text-[13px] font-medium text-gray-900'>{isFunctionCall ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</div>
+            <div className='leading-[18px] text-[13px] font-medium text-text-primary'>{isFunctionCall ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</div>
           </ItemPanel>
 
           <ItemPanel
@@ -99,10 +99,10 @@ const AgentSetting: FC<Props> = ({
                 type="number"
                 min={maxIterationsMin}
                 max={maxIterationsMax} step={1}
-                className="block w-11 h-7 leading-7 rounded-lg border-0 pl-1 px-1.5 bg-gray-100 text-gray-900  placeholder:text-gray-400 focus:ring-1 focus:ring-inset focus:ring-primary-600"
+                className="block w-11 h-7 leading-7 rounded-lg border-0 pl-1 px-1.5 bg-components-input-bg-normal text-text-primary placeholder:text-text-tertiary focus:ring-1 focus:ring-inset focus:ring-primary-600"
                 value={tempPayload.max_iteration}
                 onChange={(e) => {
-                  let value = parseInt(e.target.value, 10)
+                  let value = Number.parseInt(e.target.value, 10)
                   if (value < maxIterationsMin)
                     value = maxIterationsMin
 
@@ -117,23 +117,20 @@ const AgentSetting: FC<Props> = ({
           </ItemPanel>
 
           {!isFunctionCall && (
-            <div className='py-2 bg-gray-50 rounded-xl shadow-xs'>
-              <div className='flex items-center h-8 px-4 leading-6 text-sm font-semibold text-gray-700'>{t('tools.builtInPromptTitle')}</div>
-              <div className='h-[396px] px-4 overflow-y-auto leading-5 text-sm font-normal text-gray-700 whitespace-pre-line'>
+            <div className='py-2 bg-background-section-burn rounded-xl shadow-xs'>
+              <div className='flex items-center h-8 px-4 leading-6 text-sm font-semibold text-text-secondary'>{t('tools.builtInPromptTitle')}</div>
+              <div className='h-[396px] px-4 overflow-y-auto leading-5 text-sm font-normal text-text-secondary whitespace-pre-line'>
                 {isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion}
               </div>
               <div className='px-4'>
-                <div className='inline-flex items-center h-5 px-1 rounded-md bg-gray-100 leading-[18px] text-xs font-medium text-gray-500'>{(isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion).length}</div>
+                <div className='inline-flex items-center h-5 px-1 bg-components-input-bg-normal rounded-md leading-[18px] text-xs font-medium text-text-tertiary'>{(isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion).length}</div>
               </div>
             </div>
           )}
 
         </div>
         <div
-          className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-white '
-          style={{
-            borderColor: 'rgba(0, 0, 0, 0.05)',
-          }}
+          className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-background-section-burn border-divider-regular'
         >
           <Button
             onClick={onCancel}
diff --git a/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx b/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx
index 99c2478b06..7e1244b1bb 100644
--- a/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx
+++ b/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx
@@ -19,10 +19,10 @@ const ItemPanel: FC<Props> = ({
   children,
 }) => {
   return (
-    <div className={cn(className, 'flex justify-between items-center h-12 px-3 rounded-lg bg-gray-50')}>
+    <div className={cn(className, 'flex justify-between items-center h-12 px-3 rounded-lg bg-background-section-burn')}>
       <div className='flex items-center'>
         {icon}
-        <div className='ml-3 mr-1 leading-6 text-sm font-semibold text-gray-800'>{name}</div>
+        <div className='ml-3 mr-1 leading-6 text-sm font-semibold text-text-secondary'>{name}</div>
         <Tooltip
           popupContent={
             <div className='w-[180px]'>
diff --git a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx
index 52e5d5d906..e4a0e9737f 100644
--- a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx
+++ b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx
@@ -1,21 +1,24 @@
 'use client'
 import type { FC } from 'react'
-import React, { useState } from 'react'
+import React, { useMemo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
+import copy from 'copy-to-clipboard'
 import produce from 'immer'
 import {
   RiDeleteBinLine,
-  RiHammerFill,
+  RiEqualizer2Line,
+  RiInformation2Line,
 } from '@remixicon/react'
 import { useFormattingChangedDispatcher } from '../../../debug/hooks'
 import SettingBuiltInTool from './setting-built-in-tool'
-import cn from '@/utils/classnames'
 import Panel from '@/app/components/app/configuration/base/feature-panel'
-import { InfoCircle } from '@/app/components/base/icons/src/vender/line/general'
 import OperationBtn from '@/app/components/app/configuration/base/operation-btn'
 import AppIcon from '@/app/components/base/app-icon'
+import Button from '@/app/components/base/button'
+import Indicator from '@/app/components/header/indicator'
 import Switch from '@/app/components/base/switch'
+import Toast from '@/app/components/base/toast'
 import ConfigContext from '@/context/debug-configuration'
 import type { AgentTool } from '@/types/app'
 import { type Collection, CollectionType } from '@/app/components/tools/types'
@@ -23,7 +26,12 @@ import { MAX_TOOLS_NUM } from '@/config'
 import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback'
 import Tooltip from '@/app/components/base/tooltip'
 import { DefaultToolIcon } from '@/app/components/base/icons/src/public/other'
-import AddToolModal from '@/app/components/tools/add-tool-modal'
+// import AddToolModal from '@/app/components/tools/add-tool-modal'
+import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials'
+import { updateBuiltInToolCredential } from '@/service/tools'
+import cn from '@/utils/classnames'
+import ToolPicker from '@/app/components/workflow/block-selector/tool-picker'
+import type { ToolDefaultValue } from '@/app/components/workflow/block-selector/types'
 
 type AgentToolWithMoreInfo = AgentTool & { icon: any; collection?: Collection } | null
 const AgentTools: FC = () => {
@@ -33,9 +41,19 @@ const AgentTools: FC = () => {
   const formattingChangedDispatcher = useFormattingChangedDispatcher()
 
   const [currentTool, setCurrentTool] = useState<AgentToolWithMoreInfo>(null)
+  const currentCollection = useMemo(() => {
+    if (!currentTool) return null
+    const collection = collectionList.find(collection => collection.id.split('/').pop() === currentTool?.provider_id.split('/').pop() && collection.type === currentTool?.provider_type)
+    return collection
+  }, [currentTool, collectionList])
   const [isShowSettingTool, setIsShowSettingTool] = useState(false)
+  const [isShowSettingAuth, setShowSettingAuth] = useState(false)
   const tools = (modelConfig?.agentConfig?.tools as AgentTool[] || []).map((item) => {
-    const collection = collectionList.find(collection => collection.id === item.provider_id && collection.type === item.provider_type)
+    const collection = collectionList.find(
+      collection =>
+        collection.id.split('/').pop() === item.provider_id.split('/').pop()
+        && collection.type === item.provider_type,
+    )
     const icon = collection?.icon
     return {
       ...item,
@@ -55,14 +73,40 @@ const AgentTools: FC = () => {
     formattingChangedDispatcher()
   }
 
+  const handleToolAuthSetting = (value: any) => {
+    const newModelConfig = produce(modelConfig, (draft) => {
+      const tool = (draft.agentConfig.tools).find((item: any) => item.provider_id === value?.collection?.id && item.tool_name === value?.tool_name)
+      if (tool)
+        (tool as AgentTool).notAuthor = false
+    })
+    setModelConfig(newModelConfig)
+    setIsShowSettingTool(false)
+    formattingChangedDispatcher()
+  }
+
+  const [isDeleting, setIsDeleting] = useState<number>(-1)
+
+  const handleSelectTool = (tool: ToolDefaultValue) => {
+    const newModelConfig = produce(modelConfig, (draft) => {
+      draft.agentConfig.tools.push({
+        provider_id: tool.provider_id,
+        provider_type: tool.provider_type as CollectionType,
+        provider_name: tool.provider_name,
+        tool_name: tool.tool_name,
+        tool_label: tool.tool_label,
+        tool_parameters: tool.params,
+        notAuthor: !tool.is_team_authorization,
+        enabled: true,
+      })
+    })
+    setModelConfig(newModelConfig)
+  }
+
   return (
     <>
       <Panel
-        className="mt-2"
+        className={cn('mt-2', tools.length === 0 && 'pb-2')}
         noBodySpacing={tools.length === 0}
-        headerIcon={
-          <RiHammerFill className='w-4 h-4 text-primary-500' />
-        }
         title={
           <div className='flex items-center'>
             <div className='mr-1'>{t('appDebug.agent.tools.name')}</div>
@@ -77,11 +121,19 @@ const AgentTools: FC = () => {
         }
         headerRight={
           <div className='flex items-center'>
-            <div className='leading-[18px] text-xs font-normal text-gray-500'>{tools.filter((item: any) => !!item.enabled).length}/{tools.length}&nbsp;{t('appDebug.agent.tools.enabled')}</div>
+            <div className='leading-[18px] text-xs font-normal text-text-tertiary'>{tools.filter((item: any) => !!item.enabled).length}/{tools.length}&nbsp;{t('appDebug.agent.tools.enabled')}</div>
             {tools.length < MAX_TOOLS_NUM && (
               <>
-                <div className='ml-3 mr-1 h-3.5 w-px bg-gray-200'></div>
-                <OperationBtn type="add" onClick={() => setIsShowChooseTool(true)} />
+                <div className='ml-3 mr-1 h-3.5 w-px bg-divider-regular'></div>
+                <ToolPicker
+                  trigger={<OperationBtn type="add" />}
+                  isShow={isShowChooseTool}
+                  onShowChange={setIsShowChooseTool}
+                  disabled={false}
+                  supportAddCustomTool
+                  onSelect={handleSelectTool}
+                  selectedTools={tools}
+                />
               </>
             )}
           </div>
@@ -90,72 +142,77 @@ const AgentTools: FC = () => {
         <div className='grid gap-1 grid-cols-1 2xl:grid-cols-2 items-center flex-wrap justify-between'>
           {tools.map((item: AgentTool & { icon: any; collection?: Collection }, index) => (
             <div key={index}
-              className={cn((item.isDeleted || item.notAuthor) ? 'bg-white/50' : 'bg-white', (item.enabled && !item.isDeleted && !item.notAuthor) && 'shadow-xs', index > 1 && 'mt-1', 'group relative flex justify-between items-center last-of-type:mb-0  pl-2.5 py-2 pr-3 w-full  rounded-lg border-[0.5px] border-gray-200 ')}
+              className={cn(
+                'group relative flex justify-between items-center last-of-type:mb-0 p-1.5 pr-2 w-full bg-components-panel-on-panel-item-bg rounded-lg border-[0.5px] border-components-panel-border-subtle shadow-xs hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm cursor',
+                isDeleting === index && 'hover:bg-state-destructive-hover border-state-destructive-border',
+              )}
             >
               <div className='grow w-0 flex items-center'>
-                {(item.isDeleted || item.notAuthor)
-                  ? (
-                    <DefaultToolIcon className='w-6 h-6' />
-                  )
-                  : (
-                    typeof item.icon === 'string'
-                      ? (
-                        <div
-                          className='w-6 h-6 bg-cover bg-center rounded-md'
-                          style={{
-                            backgroundImage: `url(${item.icon})`,
-                          }}
-                        ></div>
-                      )
-                      : (
-                        <AppIcon
-                          className='rounded-md'
-                          size='tiny'
-                          icon={item.icon?.content}
-                          background={item.icon?.background}
-                        />
-                      ))}
+                {item.isDeleted && <DefaultToolIcon className='w-5 h-5' />}
+                {!item.isDeleted && (
+                  <div className={cn((item.notAuthor || !item.enabled) && 'opacity-50')}>
+                    {typeof item.icon === 'string' && <div className='w-5 h-5 bg-cover bg-center rounded-md' style={{ backgroundImage: `url(${item.icon})` }} />}
+                    {typeof item.icon !== 'string' && <AppIcon className='rounded-md' size='xs' icon={item.icon?.content} background={item.icon?.background} />}
+                  </div>
+                )}
                 <div
-                  className={cn((item.isDeleted || item.notAuthor) ? 'line-through opacity-50' : '', 'grow w-0 ml-2 leading-[18px] text-[13px] font-medium text-gray-800  truncate')}
+                  className={cn(
+                    'grow w-0 ml-1.5 flex items-center system-xs-regular truncate',
+                    (item.isDeleted || item.notAuthor || !item.enabled) ? 'opacity-50' : '',
+                  )}
                 >
-                  <span className='text-gray-800 pr-2'>{item.provider_type === CollectionType.builtIn ? item.provider_name : item.tool_label}</span>
-                  <Tooltip
-                    popupContent={t('tools.toolNameUsageTip')}
-                  >
-                    <span className='text-gray-500'>{item.tool_name}</span>
-                  </Tooltip>
+                  <span className='text-text-secondary system-xs-medium pr-1.5'>{item.provider_type === CollectionType.builtIn ? item.provider_name.split('/').pop() : item.tool_label}</span>
+                  <span className='text-text-tertiary'>{item.tool_label}</span>
+                  {!item.isDeleted && (
+                    <Tooltip
+                      needsDelay
+                      popupContent={
+                        <div className='w-[180px]'>
+                          <div className='mb-1.5 text-text-secondary'>{item.tool_name}</div>
+                          <div className='mb-1.5 text-text-tertiary'>{t('tools.toolNameUsageTip')}</div>
+                          <div className='text-text-accent cursor-pointer' onClick={() => copy(item.tool_name)}>{t('tools.copyToolName')}</div>
+                        </div>
+                      }
+                    >
+                      <div className='w-4 h-4'>
+                        <div className='hidden group-hover:inline-block ml-0.5'>
+                          <RiInformation2Line className='w-4 h-4 text-text-tertiary' />
+                        </div>
+                      </div>
+                    </Tooltip>
+                  )}
                 </div>
               </div>
               <div className='shrink-0 ml-1 flex items-center'>
-                {(item.isDeleted || item.notAuthor)
-                  ? (
-                    <div className='flex items-center'>
-                      <Tooltip
-                        popupContent={t(`tools.${item.isDeleted ? 'toolRemoved' : 'notAuthorized'}`)}
-                        needsDelay
-                      >
-                        <div className='mr-1 p-1 rounded-md hover:bg-black/5  cursor-pointer' onClick={() => {
-                          if (item.notAuthor)
-                            setIsShowChooseTool(true)
-                        }}>
-                          <AlertTriangle className='w-4 h-4 text-[#F79009]' />
-                        </div>
-                      </Tooltip>
-
-                      <div className='p-1 rounded-md hover:bg-black/5 cursor-pointer' onClick={() => {
+                {item.isDeleted && (
+                  <div className='flex items-center mr-2'>
+                    <Tooltip
+                      popupContent={t('tools.toolRemoved')}
+                      needsDelay
+                    >
+                      <div className='mr-1 p-1 rounded-md hover:bg-black/5 cursor-pointer'>
+                        <AlertTriangle className='w-4 h-4 text-[#F79009]' />
+                      </div>
+                    </Tooltip>
+                    <div
+                      className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive'
+                      onClick={() => {
                         const newModelConfig = produce(modelConfig, (draft) => {
                           draft.agentConfig.tools.splice(index, 1)
                         })
                         setModelConfig(newModelConfig)
                         formattingChangedDispatcher()
-                      }}>
-                        <RiDeleteBinLine className='w-4 h-4 text-gray-500' />
-                      </div>
-                      <div className='ml-2 mr-3 w-px h-3.5 bg-gray-200'></div>
+                      }}
+                      onMouseOver={() => setIsDeleting(index)}
+                      onMouseLeave={() => setIsDeleting(-1)}
+                    >
+                      <RiDeleteBinLine className='w-4 h-4' />
                     </div>
-                  )
-                  : (
-                    <div className='hidden group-hover:flex items-center'>
+                  </div>
+                )}
+                {!item.isDeleted && (
+                  <div className='hidden group-hover:flex items-center gap-1 mr-2'>
+                    {!item.notAuthor && (
                       <Tooltip
                         popupContent={t('tools.setBuiltInTools.infoAndSetting')}
                         needsDelay
@@ -164,55 +221,81 @@ const AgentTools: FC = () => {
                           setCurrentTool(item)
                           setIsShowSettingTool(true)
                         }}>
-                          <InfoCircle className='w-4 h-4 text-gray-500' />
+                          <RiEqualizer2Line className='w-4 h-4 text-text-tertiary' />
                         </div>
                       </Tooltip>
-
-                      <div className='p-1 rounded-md hover:bg-black/5 cursor-pointer' onClick={() => {
+                    )}
+                    <div
+                      className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive'
+                      onClick={() => {
                         const newModelConfig = produce(modelConfig, (draft) => {
                           draft.agentConfig.tools.splice(index, 1)
                         })
                         setModelConfig(newModelConfig)
                         formattingChangedDispatcher()
-                      }}>
-                        <RiDeleteBinLine className='w-4 h-4 text-gray-500' />
-                      </div>
-                      <div className='ml-2 mr-3 w-px h-3.5 bg-gray-200'></div>
+                      }}
+                      onMouseOver={() => setIsDeleting(index)}
+                      onMouseLeave={() => setIsDeleting(-1)}
+                    >
+                      <RiDeleteBinLine className='w-4 h-4' />
                     </div>
+                  </div>
+                )}
+                <div className={cn(item.isDeleted && 'opacity-50')}>
+                  {!item.notAuthor && (
+                    <Switch
+                      defaultValue={item.isDeleted ? false : item.enabled}
+                      disabled={item.isDeleted}
+                      size='md'
+                      onChange={(enabled) => {
+                        const newModelConfig = produce(modelConfig, (draft) => {
+                          (draft.agentConfig.tools[index] as any).enabled = enabled
+                        })
+                        setModelConfig(newModelConfig)
+                        formattingChangedDispatcher()
+                      }} />
+                  )}
+                  {item.notAuthor && (
+                    <Button variant='secondary' size='small' onClick={() => {
+                      setCurrentTool(item)
+                      setShowSettingAuth(true)
+                    }}>
+                      {t('tools.notAuthorized')}
+                      <Indicator className='ml-2' color='orange' />
+                    </Button>
                   )}
-                <div className={cn((item.isDeleted || item.notAuthor) && 'opacity-50')}>
-                  <Switch
-                    defaultValue={(item.isDeleted || item.notAuthor) ? false : item.enabled}
-                    disabled={(item.isDeleted || item.notAuthor)}
-                    size='md'
-                    onChange={(enabled) => {
-                      const newModelConfig = produce(modelConfig, (draft) => {
-                        (draft.agentConfig.tools[index] as any).enabled = enabled
-                      })
-                      setModelConfig(newModelConfig)
-                      formattingChangedDispatcher()
-                    }} />
                 </div>
               </div>
             </div>
           ))}
         </div >
       </Panel >
-      {isShowChooseTool && (
-        <AddToolModal onHide={() => setIsShowChooseTool(false)} />
+      {isShowSettingTool && (
+        <SettingBuiltInTool
+          toolName={currentTool?.tool_name as string}
+          setting={currentTool?.tool_parameters as any}
+          collection={currentTool?.collection as Collection}
+          isBuiltIn={currentTool?.collection?.type === CollectionType.builtIn}
+          isModel={currentTool?.collection?.type === CollectionType.model}
+          onSave={handleToolSettingChange}
+          onHide={() => setIsShowSettingTool(false)}
+        />
+      )}
+      {isShowSettingAuth && (
+        <ConfigCredential
+          collection={currentCollection as any}
+          onCancel={() => setShowSettingAuth(false)}
+          onSaved={async (value) => {
+            await updateBuiltInToolCredential((currentCollection as any).name, value)
+            Toast.notify({
+              type: 'success',
+              message: t('common.api.actionSuccess'),
+            })
+            handleToolAuthSetting(currentTool as any)
+            setShowSettingAuth(false)
+          }}
+        />
       )}
-      {
-        isShowSettingTool && (
-          <SettingBuiltInTool
-            toolName={currentTool?.tool_name as string}
-            setting={currentTool?.tool_parameters as any}
-            collection={currentTool?.collection as Collection}
-            isBuiltIn={currentTool?.collection?.type === CollectionType.builtIn}
-            isModel={currentTool?.collection?.type === CollectionType.model}
-            onSave={handleToolSettingChange}
-            onHide={() => setIsShowSettingTool(false)}
-          />)
-      }
     </>
   )
 }
diff --git a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx
index 69e18e3136..da6063045a 100644
--- a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx
+++ b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx
@@ -3,21 +3,30 @@ import type { FC } from 'react'
 import React, { useEffect, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
-import cn from '@/utils/classnames'
-import Drawer from '@/app/components/base/drawer-plus'
+import {
+  RiArrowLeftLine,
+  RiCloseLine,
+} from '@remixicon/react'
+import Drawer from '@/app/components/base/drawer'
+import Loading from '@/app/components/base/loading'
+import ActionButton from '@/app/components/base/action-button'
+import Icon from '@/app/components/plugins/card/base/card-icon'
+import OrgInfo from '@/app/components/plugins/card/base/org-info'
+import Description from '@/app/components/plugins/card/base/description'
+import TabSlider from '@/app/components/base/tab-slider-plain'
+
+import Button from '@/app/components/base/button'
 import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form'
 import { addDefaultValue, toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
 import type { Collection, Tool } from '@/app/components/tools/types'
 import { CollectionType } from '@/app/components/tools/types'
 import { fetchBuiltInToolList, fetchCustomToolList, fetchModelToolList, fetchWorkflowToolList } from '@/service/tools'
 import I18n from '@/context/i18n'
-import Button from '@/app/components/base/button'
-import Loading from '@/app/components/base/loading'
-import { DiagonalDividingLine } from '@/app/components/base/icons/src/public/common'
 import { getLanguage } from '@/i18n/language'
-import AppIcon from '@/app/components/base/app-icon'
+import cn from '@/utils/classnames'
 
 type Props = {
+  showBackButton?: boolean
   collection: Collection
   isBuiltIn?: boolean
   isModel?: boolean
@@ -29,6 +38,7 @@ type Props = {
 }
 
 const SettingBuiltInTool: FC<Props> = ({
+  showBackButton = false,
   collection,
   isBuiltIn = true,
   isModel = true,
@@ -96,39 +106,38 @@ const SettingBuiltInTool: FC<Props> = ({
     return valid
   })()
 
-  const infoUI = (
-    <div className='pt-2'>
-      <div className='leading-5 text-sm font-medium text-gray-900'>
-        {t('tools.setBuiltInTools.toolDescription')}
-      </div>
-      <div className='mt-1 leading-[18px] text-xs font-normal text-gray-600'>
-        {currTool?.description[language]}
-      </div>
+  const getType = (type: string) => {
+    if (type === 'number-input')
+      return t('tools.setBuiltInTools.number')
+    if (type === 'text-input')
+      return t('tools.setBuiltInTools.string')
+    if (type === 'file')
+      return t('tools.setBuiltInTools.file')
+    return type
+  }
 
+  const infoUI = (
+    <div className=''>
       {infoSchemas.length > 0 && (
-        <div className='mt-6'>
-          <div className='flex items-center mb-4 leading-[18px] text-xs font-semibold text-gray-500 uppercase'>
-            <div className='mr-3'>{t('tools.setBuiltInTools.parameters')}</div>
-            <div className='grow w-0 h-px bg-[#f3f4f6]'></div>
-          </div>
-          <div className='space-y-4'>
-            {infoSchemas.map((item: any, index) => (
-              <div key={index}>
-                <div className='flex items-center space-x-2 leading-[18px]'>
-                  <div className='text-[13px] font-semibold text-gray-900'>{item.label[language]}</div>
-                  <div className='text-xs font-medium text-gray-500'>{item.type === 'number-input' ? t('tools.setBuiltInTools.number') : t('tools.setBuiltInTools.string')}</div>
-                  {item.required && (
-                    <div className='text-xs font-medium text-[#EC4A0A]'>{t('tools.setBuiltInTools.required')}</div>
-                  )}
+        <div className='py-2 space-y-1'>
+          {infoSchemas.map((item: any, index) => (
+            <div key={index} className='py-1'>
+              <div className='flex items-center gap-2'>
+                <div className='text-text-secondary code-sm-semibold'>{item.label[language]}</div>
+                <div className='text-text-tertiary system-xs-regular'>
+                  {getType(item.type)}
                 </div>
-                {item.human_description && (
-                  <div className='mt-1 leading-[18px] text-xs font-normal text-gray-600'>
-                    {item.human_description?.[language]}
-                  </div>
+                {item.required && (
+                  <div className='text-text-warning-secondary system-xs-medium'>{t('tools.setBuiltInTools.required')}</div>
                 )}
               </div>
-            ))}
-          </div>
+              {item.human_description && (
+                <div className='mt-0.5 text-text-tertiary system-xs-regular'>
+                  {item.human_description?.[language]}
+                </div>
+              )}
+            </div>
+          ))}
         </div>
       )}
     </div>
@@ -142,82 +151,88 @@ const SettingBuiltInTool: FC<Props> = ({
       isEditMode={false}
       showOnVariableMap={{}}
       validating={false}
-      inputClassName='!bg-gray-50'
       readonly={readonly}
     />
   )
 
   return (
     <Drawer
-      isShow
-      onHide={onHide}
-      title={(
-        <div className='flex items-center'>
-          {typeof collection.icon === 'string'
-            ? (
-              <div
-                className='w-6 h-6 bg-cover bg-center rounded-md flex-shrink-0'
-                style={{
-                  backgroundImage: `url(${collection.icon})`,
-                }}
-              ></div>
-            )
-            : (
-              <AppIcon
-                className='rounded-md'
-                size='tiny'
-                icon={(collection.icon as any)?.content}
-                background={(collection.icon as any)?.background}
-              />
-            )}
-
-          <div className='ml-2 leading-6 text-base font-semibold text-gray-900'>{currTool?.label[language]}</div>
-          {(hasSetting && !readonly) && (<>
-            <DiagonalDividingLine className='mx-4' />
-            <div className='flex space-x-6'>
-              <div
-                className={cn(isInfoActive ? 'text-gray-900 font-semibold' : 'font-normal text-gray-600 cursor-pointer', 'relative text-base')}
-                onClick={() => setCurrType('info')}
-              >
-                {t('tools.setBuiltInTools.info')}
-                {isInfoActive && <div className='absolute left-0 bottom-[-16px] w-full h-0.5 bg-primary-600'></div>}
+      isOpen
+      clickOutsideNotOpen={false}
+      onClose={onHide}
+      footer={null}
+      mask={false}
+      positionCenter={false}
+      panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')}
+    >
+      <>
+        {isLoading && <Loading type='app' />}
+        {!isLoading && (
+          <>
+            {/* header */}
+            <div className='relative p-4 pb-3 border-b border-divider-subtle'>
+              <div className='absolute top-3 right-3'>
+                <ActionButton onClick={onHide}>
+                  <RiCloseLine className='w-4 h-4' />
+                </ActionButton>
               </div>
-              <div className={cn(!isInfoActive ? 'text-gray-900 font-semibold' : 'font-normal text-gray-600 cursor-pointer', 'relative text-base ')}
-                onClick={() => setCurrType('setting')}
-              >
-                {t('tools.setBuiltInTools.setting')}
-                {!isInfoActive && <div className='absolute left-0 bottom-[-16px] w-full h-0.5 bg-primary-600'></div>}
-              </div>
-            </div>
-          </>)}
-        </div>
-      )}
-      panelClassName='mt-[65px] !w-[405px]'
-      maxWidthClassName='!max-w-[405px]'
-      height='calc(100vh - 65px)'
-      headerClassName='!border-b-black/5'
-      body={
-        <div className='h-full pt-3'>
-          {isLoading
-            ? <div className='flex h-full items-center'>
-              <Loading type='app' />
-            </div>
-            : (<div className='flex flex-col h-full'>
-              <div className='grow h-0 overflow-y-auto  px-6'>
-                {isInfoActive ? infoUI : settingUI}
-              </div>
-              {!readonly && !isInfoActive && (
-                <div className='mt-2 shrink-0 flex justify-end py-4 px-6  space-x-2 rounded-b-[10px] bg-gray-50 border-t border-black/5'>
-                  <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium !text-gray-700' onClick={onHide}>{t('common.operation.cancel')}</Button>
-                  <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium' variant='primary' disabled={!isValid} onClick={() => onSave?.(addDefaultValue(tempSetting, formSchemas))}>{t('common.operation.save')}</Button>
+              {showBackButton && (
+                <div
+                  className='mb-2 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer'
+                  onClick={onHide}
+                >
+                  <RiArrowLeftLine className='w-4 h-4' />
+                  BACK
                 </div>
               )}
-            </div>)}
-        </div>
-      }
-      isShowMask={false}
-      clickOutsideNotOpen={false}
-    />
+              <div className='flex items-center gap-1'>
+                <Icon size='tiny' className='w-6 h-6' src={collection.icon} />
+                <OrgInfo
+                  packageNameClassName='w-auto'
+                  orgName={collection.author}
+                  packageName={collection.name.split('/').pop() || ''}
+                />
+              </div>
+              <div className='mt-1 text-text-primary system-md-semibold'>{currTool?.label[language]}</div>
+              {!!currTool?.description[language] && (
+                <Description className='mt-3' text={currTool.description[language]} descriptionLineRows={2}></Description>
+              )}
+            </div>
+            {/* form */}
+            <div className='h-full'>
+              <div className='flex flex-col h-full'>
+                {(hasSetting && !readonly) ? (
+                  <TabSlider
+                    className='shrink-0 mt-1 px-4'
+                    itemClassName='py-3'
+                    noBorderBottom
+                    value={currType}
+                    onChange={(value) => {
+                      setCurrType(value)
+                    }}
+                    options={[
+                      { value: 'info', text: t('tools.setBuiltInTools.parameters')! },
+                      { value: 'setting', text: t('tools.setBuiltInTools.setting')! },
+                    ]}
+                  />
+                ) : (
+                  <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>{t('tools.setBuiltInTools.parameters')}</div>
+                )}
+                <div className='grow h-0 overflow-y-auto px-4'>
+                  {isInfoActive ? infoUI : settingUI}
+                </div>
+                {!readonly && !isInfoActive && (
+                  <div className='mt-2 shrink-0 flex justify-end py-4 px-6  space-x-2 rounded-b-[10px] bg-components-panel-bg border-t border-divider-regular'>
+                    <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium ' onClick={onHide}>{t('common.operation.cancel')}</Button>
+                    <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium' variant='primary' disabled={!isValid} onClick={() => onSave?.(addDefaultValue(tempSetting, formSchemas))}>{t('common.operation.save')}</Button>
+                  </div>
+                )}
+              </div>
+            </div>
+          </>
+        )}
+      </>
+    </Drawer>
   )
 }
 export default React.memo(SettingBuiltInTool)
diff --git a/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx b/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx
index 0a20f4b376..549421401c 100644
--- a/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx
+++ b/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx
@@ -38,7 +38,7 @@ import ModelName from '@/app/components/header/account-setting/model-provider-pa
 import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
 
-export type IGetAutomaticResProps = {
+export interface IGetAutomaticResProps {
   mode: AppType
   model: Model
   isShow: boolean
diff --git a/web/app/components/app/configuration/config/index.tsx b/web/app/components/app/configuration/config/index.tsx
index 39fdd502ef..dd4a076dde 100644
--- a/web/app/components/app/configuration/config/index.tsx
+++ b/web/app/components/app/configuration/config/index.tsx
@@ -12,7 +12,7 @@ import AgentTools from './agent/agent-tools'
 import ConfigContext from '@/context/debug-configuration'
 import ConfigPrompt from '@/app/components/app/configuration/config-prompt'
 import ConfigVar from '@/app/components/app/configuration/config-var'
-import { type ModelConfig, type PromptVariable } from '@/models/debug'
+import type { ModelConfig, PromptVariable } from '@/models/debug'
 import type { AppType } from '@/types/app'
 import { ModelModeType } from '@/types/app'
 
diff --git a/web/app/components/app/configuration/dataset-config/card-item/item.tsx b/web/app/components/app/configuration/dataset-config/card-item/item.tsx
index 7036ae8c8a..637fd8483c 100644
--- a/web/app/components/app/configuration/dataset-config/card-item/item.tsx
+++ b/web/app/components/app/configuration/dataset-config/card-item/item.tsx
@@ -16,6 +16,7 @@ import Drawer from '@/app/components/base/drawer'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import Badge from '@/app/components/base/badge'
 import { useKnowledge } from '@/hooks/use-knowledge'
+import cn from '@/utils/classnames'
 
 type ItemProps = {
   className?: string
@@ -43,8 +44,10 @@ const Item: FC<ItemProps> = ({
     setShowSettingsModal(false)
   }
 
+  const [isDeleting, setIsDeleting] = useState(false)
+
   return (
-    <div className='group relative flex items-center mb-1 last-of-type:mb-0  pl-2.5 py-2 pr-3 w-full bg-white rounded-lg border-[0.5px] border-gray-200 shadow-xs'>
+    <div className={cn('group relative flex items-center mb-1 last-of-type:mb-0  pl-2.5 py-2 pr-3 w-full rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs hover:shadow-sm hover:bg-components-panel-on-panel-item-bg-hover', isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border')}>
       {
         config.data_source_type === DataSourceType.FILE && (
           <div className='shrink-0 flex items-center justify-center mr-2 w-6 h-6 bg-[#F5F8FF] rounded-md border-[0.5px] border-[#E0EAFF]'>
@@ -68,28 +71,30 @@ const Item: FC<ItemProps> = ({
       }
       <div className='grow'>
         <div className='flex items-center h-[18px]'>
-          <div className='grow text-[13px] font-medium text-gray-800 truncate' title={config.name}>{config.name}</div>
+          <div className='grow text-[13px] font-medium text-text-secondary truncate' title={config.name}>{config.name}</div>
           {config.provider === 'external'
             ? <Badge text={t('dataset.externalTag') as string} />
             : <Badge
               text={formatIndexingTechniqueAndMethod(config.indexing_technique, config.retrieval_model_dict?.search_method)}
             />}
         </div>
-      </div>
+      </div >
       <div className='hidden rounded-lg group-hover:flex items-center justify-end absolute right-0 top-0 bottom-0 pr-2 w-[124px] bg-gradient-to-r from-white/50 to-white to-50%'>
         {
           editable && <div
             className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer'
             onClick={() => setShowSettingsModal(true)}
           >
-            <RiEditLine className='w-4 h-4 text-gray-500' />
+            <RiEditLine className='w-4 h-4 text-text-tertiary' />
           </div>
         }
         <div
-          className='group/action flex items-center justify-center w-6 h-6 hover:bg-[#FEE4E2] rounded-md cursor-pointer'
+          className='flex items-center justify-center w-6 h-6  text-text-tertiary cursor-pointer hover:text-text-destructive'
           onClick={() => onRemove(config.id)}
+          onMouseOver={() => setIsDeleting(true)}
+          onMouseLeave={() => setIsDeleting(false)}
         >
-          <RiDeleteBinLine className='w-4 h-4 text-gray-500 group-hover/action:text-[#D92D20]' />
+          <RiDeleteBinLine className='w-4 h-4' />
         </div>
       </div>
       <Drawer isOpen={showSettingsModal} onClose={() => setShowSettingsModal(false)} footer={null} mask={isMobile} panelClassname='mt-16 mx-2 sm:mr-2 mb-3 !p-0 !max-w-[640px] rounded-xl'>
@@ -99,7 +104,7 @@ const Item: FC<ItemProps> = ({
           onSave={handleSave}
         />
       </Drawer>
-    </div>
+    </div >
   )
 }
 
diff --git a/web/app/components/app/configuration/dataset-config/context-var/index.tsx b/web/app/components/app/configuration/dataset-config/context-var/index.tsx
index 0de182b0a9..530dd22175 100644
--- a/web/app/components/app/configuration/dataset-config/context-var/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/context-var/index.tsx
@@ -14,12 +14,12 @@ const ContextVar: FC<Props> = (props) => {
   const currItem = options.find(item => item.value === value)
   const notSetVar = !currItem
   return (
-    <div className={cn(notSetVar ? 'rounded-bl-xl rounded-br-xl bg-[#FEF0C7] border-[#FEF0C7]' : 'border-gray-200', 'flex justify-between items-center h-12 px-3 border-t ')}>
+    <div className={cn(notSetVar ? 'rounded-bl-xl rounded-br-xl bg-[#FEF0C7] border-[#FEF0C7]' : 'border-components-panel-border-subtle', 'flex justify-between items-center h-12 px-3 border-t ')}>
       <div className='flex items-center space-x-1 shrink-0'>
         <div className='p-1'>
-          <BracketsX className='w-4 h-4 text-primary-500' />
+          <BracketsX className='w-4 h-4 text-text-accent' />
         </div>
-        <div className='mr-1 text-sm font-medium text-gray-800'>{t('appDebug.feature.dataSet.queryVariable.title')}</div>
+        <div className='mr-1 text-sm font-medium text-text-secondary'>{t('appDebug.feature.dataSet.queryVariable.title')}</div>
         <Tooltip
           popupContent={
             <div className='w-[180px]'>
diff --git a/web/app/components/app/configuration/dataset-config/context-var/style.module.css b/web/app/components/app/configuration/dataset-config/context-var/style.module.css
deleted file mode 100644
index cbfaae8e29..0000000000
--- a/web/app/components/app/configuration/dataset-config/context-var/style.module.css
+++ /dev/null
@@ -1,3 +0,0 @@
-.trigger:hover .dropdownIcon {
-  color: #98A2B3;
-}
\ No newline at end of file
diff --git a/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx b/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx
index bc31721ad7..4e7ca93e99 100644
--- a/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx
+++ b/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx
@@ -3,7 +3,6 @@ import type { FC } from 'react'
 import React, { useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { ChevronDownIcon } from '@heroicons/react/24/outline'
-import s from './style.module.css'
 import cn from '@/utils/classnames'
 import {
   PortalToFollowElem,
@@ -56,10 +55,9 @@ const VarPicker: FC<Props> = ({
     >
       <PortalToFollowElemTrigger className={cn(triggerClassName)} onClick={() => setOpen(v => !v)}>
         <div className={cn(
-          s.trigger,
           className,
-          notSetVar ? 'bg-[#FFFCF5] border-[#FEDF89] text-[#DC6803]' : ' hover:bg-gray-50 border-gray-200 text-primary-600',
-          open ? 'bg-gray-50' : 'bg-white',
+          notSetVar ? 'bg-[#FFFCF5] border-[#FEDF89] text-[#DC6803]' : ' hover:bg-components-button-secondary-bg border-components-button-secondary-border text-text-accent',
+          open ? 'bg-components-button-secondary-bg' : 'bg-transparent',
           `
           flex items-center h-8 justify-center px-2 space-x-1 rounded-lg border  shadow-xs cursor-pointer
           text-[13px]  font-medium
@@ -73,16 +71,16 @@ const VarPicker: FC<Props> = ({
                 {notSelectedVarTip || t('appDebug.feature.dataSet.queryVariable.choosePlaceholder')}
               </div>)}
           </div>
-          <ChevronDownIcon className={cn(s.dropdownIcon, open && 'rotate-180 text-[#98A2B3]', 'w-3.5 h-3.5')} />
+          <ChevronDownIcon className={cn(open && 'rotate-180 text-text-tertiary', 'w-3.5 h-3.5')} />
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent style={{ zIndex: 1000 }}>
         {options.length > 0
-          ? (<div className='w-[240px] max-h-[50vh] overflow-y-auto p-1  border bg-white border-gray-200 rounded-lg shadow-lg'>
+          ? (<div className='w-[240px] max-h-[50vh] overflow-y-auto p-1  border bg-components-panel-bg border-components-panel-border rounded-lg shadow-lg'>
             {options.map(({ name, value, type }, index) => (
               <div
                 key={index}
-                className='px-3 py-1 flex rounded-lg hover:bg-gray-50 cursor-pointer'
+                className='px-3 py-1 flex rounded-lg hover:bg-state-base-hover cursor-pointer'
                 onClick={() => {
                   onChange(value)
                   setOpen(false)
@@ -93,9 +91,9 @@ const VarPicker: FC<Props> = ({
             ))}
           </div>)
           : (
-            <div className='w-[240px] p-6 bg-white border border-gray-200 rounded-lg shadow-lg'>
-              <div className='mb-1 text-sm font-medium text-gray-700'>{t('appDebug.feature.dataSet.queryVariable.noVar')}</div>
-              <div className='text-xs leading-normal text-gray-500'>{t('appDebug.feature.dataSet.queryVariable.noVarTip')}</div>
+            <div className='w-[240px] p-6 bg-components-panel-bg border border-components-panel-border rounded-lg shadow-lg'>
+              <div className='mb-1 text-sm font-medium text-text-secondary'>{t('appDebug.feature.dataSet.queryVariable.noVar')}</div>
+              <div className='text-xs leading-normal text-text-tertiary'>{t('appDebug.feature.dataSet.queryVariable.noVarTip')}</div>
             </div>
           )}
 
diff --git a/web/app/components/app/configuration/dataset-config/index.tsx b/web/app/components/app/configuration/dataset-config/index.tsx
index ecbc52c5fd..5868118e94 100644
--- a/web/app/components/app/configuration/dataset-config/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/index.tsx
@@ -22,13 +22,6 @@ import { ModelTypeEnum } from '@/app/components/header/account-setting/model-pro
 import { useSelector as useAppContextSelector } from '@/context/app-context'
 import { hasEditPermissionForDataset } from '@/utils/permission'
 
-const Icon = (
-  <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-    <path fillRule="evenodd" clipRule="evenodd" d="M12.6667 5.34368C12.6667 5.32614 12.6667 5.31738 12.6659 5.30147C12.6502 4.97229 12.3607 4.68295 12.0315 4.66737C12.0156 4.66662 12.0104 4.66662 12 4.66663H9.8391C9.30248 4.66662 8.85957 4.66661 8.49878 4.69609C8.12405 4.72671 7.77958 4.79242 7.45603 4.95728C6.95426 5.21294 6.54631 5.62089 6.29065 6.12265C6.12579 6.44621 6.06008 6.79068 6.02946 7.16541C5.99999 7.5262 5.99999 7.96911 6 8.50574V15.4942C5.99999 16.0308 5.99999 16.4737 6.02946 16.8345C6.06008 17.2092 6.12579 17.5537 6.29065 17.8773C6.54631 18.379 6.95426 18.787 7.45603 19.0426C7.77958 19.2075 8.12405 19.2732 8.49878 19.3038C8.85958 19.3333 9.30248 19.3333 9.83912 19.3333H14.1609C14.6975 19.3333 15.1404 19.3333 15.5012 19.3038C15.8759 19.2732 16.2204 19.2075 16.544 19.0426C17.0457 18.787 17.4537 18.379 17.7093 17.8773C17.8742 17.5537 17.9399 17.2092 17.9705 16.8345C18 16.4737 18 16.0308 18 15.4942V10.6666C18 10.6562 18 10.6511 17.9993 10.6352C17.9837 10.306 17.6943 10.0164 17.3651 10.0007C17.3492 9.99997 17.3405 9.99997 17.323 9.99997L14.3787 9.99997C14.2105 9.99999 14.0466 10 13.9078 9.98867C13.7555 9.97622 13.5756 9.94684 13.3947 9.85464C13.1438 9.72681 12.9398 9.52284 12.812 9.27195C12.7198 9.09101 12.6904 8.91118 12.678 8.75879C12.6666 8.62001 12.6666 8.45615 12.6667 8.2879L12.6667 5.34368ZM9.33333 12.6666C8.96514 12.6666 8.66667 12.9651 8.66667 13.3333C8.66667 13.7015 8.96514 14 9.33333 14H14.6667C15.0349 14 15.3333 13.7015 15.3333 13.3333C15.3333 12.9651 15.0349 12.6666 14.6667 12.6666H9.33333ZM9.33333 15.3333C8.96514 15.3333 8.66667 15.6318 8.66667 16C8.66667 16.3681 8.96514 16.6666 9.33333 16.6666H13.3333C13.7015 16.6666 14 16.3681 14 16C14 15.6318 13.7015 15.3333 13.3333 15.3333H9.33333Z" fill="#6938EF" />
-    <path d="M16.6053 8.66662C16.8011 8.66662 16.8989 8.66663 16.9791 8.61747C17.0923 8.54806 17.16 8.38452 17.129 8.25538C17.107 8.16394 17.0432 8.10018 16.9155 7.97265L14.694 5.75111C14.5664 5.62345 14.5027 5.55962 14.4112 5.53764C14.2821 5.5066 14.1186 5.57429 14.0492 5.68752C14 5.7677 14 5.86557 14 6.06132L14 8.13327C14 8.31994 14 8.41328 14.0363 8.48459C14.0683 8.54731 14.1193 8.5983 14.182 8.63026C14.2533 8.66659 14.3466 8.66659 14.5333 8.66659L16.6053 8.66662Z" fill="#6938EF" />
-  </svg>
-)
-
 const DatasetConfig: FC = () => {
   const { t } = useTranslation()
   const userProfile = useAppContextSelector(s => s.userProfile)
@@ -125,7 +118,6 @@ const DatasetConfig: FC = () => {
   return (
     <FeaturePanel
       className='mt-2'
-      headerIcon={Icon}
       title={t('appDebug.feature.dataSet.title')}
       headerRight={
         <div className='flex items-center gap-1'>
@@ -152,7 +144,7 @@ const DatasetConfig: FC = () => {
         )
         : (
           <div className='mt-1 px-3 pb-3'>
-            <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.feature.dataSet.noData')}</div>
+            <div className='pt-2 pb-1 text-xs text-text-tertiary'>{t('appDebug.feature.dataSet.noData')}</div>
           </div>
         )}
 
diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
index 3744c6a56b..d65bbe7209 100644
--- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
+++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
@@ -24,6 +24,7 @@ import cn from '@/utils/classnames'
 import { useSelectedDatasetsMode } from '@/app/components/workflow/nodes/knowledge-retrieval/hooks'
 import Switch from '@/app/components/base/switch'
 import Toast from '@/app/components/base/toast'
+import Divider from '@/app/components/base/divider'
 
 type Props = {
   datasetConfigs: DatasetConfigs
@@ -188,7 +189,7 @@ const ConfigContent: FC<Props> = ({
             <div className='shrink-0 mr-2 system-xs-semibold-uppercase text-text-secondary'>
               {t('dataset.rerankSettings')}
             </div>
-            <div className='grow h-[1px] bg-gradient-to-l from-white to-[rgba(16,24,40,0.08)]'></div>
+            <Divider bgStyle='gradient' className='!h-px mx-0' />
           </div>
           {
             selectedDatasetsMode.inconsistentEmbeddingModel
@@ -352,7 +353,7 @@ const ConfigContent: FC<Props> = ({
       {isInWorkflow && type === RETRIEVE_TYPE.oneWay && (
         <div className='mt-4'>
           <div className='flex items-center space-x-0.5'>
-            <div className='leading-[32px] text-[13px] font-medium text-gray-900'>{t('common.modelProvider.systemReasoningModel.key')}</div>
+            <div className='leading-[32px] text-[13px] font-medium text-text-primary'>{t('common.modelProvider.systemReasoningModel.key')}</div>
             <Tooltip
               popupContent={t('common.modelProvider.systemReasoningModel.tip')}
             />
diff --git a/web/app/components/app/configuration/dataset-config/params-config/index.tsx b/web/app/components/app/configuration/dataset-config/params-config/index.tsx
index acd1955943..a236eaaf24 100644
--- a/web/app/components/app/configuration/dataset-config/params-config/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/params-config/index.tsx
@@ -140,11 +140,11 @@ const ParamsConfig = ({
             />
 
             <div className='mt-6 flex justify-end'>
-              <Button className='mr-2 flex-shrink-0' onClick={() => {
+              <Button className='mr-2 shrink-0' onClick={() => {
                 setTempDataSetConfigs(datasetConfigs)
                 setRerankSettingModalOpen(false)
               }}>{t('common.operation.cancel')}</Button>
-              <Button variant='primary' className='flex-shrink-0' onClick={handleSave} >{t('common.operation.save')}</Button>
+              <Button variant='primary' className='shrink-0' onClick={handleSave} >{t('common.operation.save')}</Button>
             </div>
           </Modal>
         )
diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx
index 0d94e599b4..ad012a7d94 100644
--- a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx
@@ -6,8 +6,6 @@ import { useTranslation } from 'react-i18next'
 import Link from 'next/link'
 import produce from 'immer'
 import TypeIcon from '../type-icon'
-import s from './style.module.css'
-import cn from '@/utils/classnames'
 import Modal from '@/app/components/base/modal'
 import type { DataSet } from '@/models/datasets'
 import Button from '@/app/components/base/button'
@@ -15,6 +13,7 @@ import { fetchDatasets } from '@/service/datasets'
 import Loading from '@/app/components/base/loading'
 import Badge from '@/app/components/base/badge'
 import { useKnowledge } from '@/hooks/use-knowledge'
+import cn from '@/utils/classnames'
 
 export type ISelectDataSetProps = {
   isShow: boolean
@@ -111,8 +110,8 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
             borderColor: 'rgba(0, 0, 0, 0.02',
           }}
         >
-          <span className='text-gray-500'>{t('appDebug.feature.dataSet.noDataSet')}</span>
-          <Link href="/datasets/create" className='font-normal text-[#155EEF]'>{t('appDebug.feature.dataSet.toCreate')}</Link>
+          <span className='text-text-tertiary'>{t('appDebug.feature.dataSet.noDataSet')}</span>
+          <Link href="/datasets/create" className='font-normal text-text-accent'>{t('appDebug.feature.dataSet.toCreate')}</Link>
         </div>
       )}
 
@@ -122,7 +121,11 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
             {datasets.map(item => (
               <div
                 key={item.id}
-                className={cn(s.item, selected.some(i => i.id === item.id) && s.selected, 'flex justify-between items-center h-10 px-2 rounded-lg bg-white border border-gray-200  cursor-pointer', !item.embedding_available && s.disabled)}
+                className={cn(
+                  'flex justify-between items-center h-10 px-2 rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs cursor-pointer hover:border-components-panel-border hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm',
+                  selected.some(i => i.id === item.id) && 'border-[1.5px] border-components-option-card-option-selected-border bg-state-accent-hover shadow-xs hover:shadow-xs hover:border-components-option-card-option-selected-border hover:bg-state-accent-hover',
+                  !item.embedding_available && 'hover:border-components-panel-border-subtle hover:bg-components-panel-on-panel-item-bg hover:shadow-xs',
+                )}
                 onClick={() => {
                   if (!item.embedding_available)
                     return
@@ -130,12 +133,12 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
                 }}
               >
                 <div className='mr-1 flex items-center'>
-                  <div className={cn('mr-2', !item.embedding_available && 'opacity-50')}>
+                  <div className={cn('mr-2', !item.embedding_available && 'opacity-30')}>
                     <TypeIcon type="upload_file" size='md' />
                   </div>
-                  <div className={cn('max-w-[200px] text-[13px] font-medium text-gray-800 overflow-hidden text-ellipsis whitespace-nowrap', !item.embedding_available && 'opacity-50 !max-w-[120px]')}>{item.name}</div>
+                  <div className={cn('max-w-[200px] text-[13px] font-medium text-text-secondary overflow-hidden text-ellipsis whitespace-nowrap', !item.embedding_available && 'opacity-30 !max-w-[120px]')}>{item.name}</div>
                   {!item.embedding_available && (
-                    <span className='ml-1 shrink-0 px-1 border border-gray-200 rounded-md text-gray-500 text-xs font-normal leading-[18px]'>{t('dataset.unavailable')}</span>
+                    <span className='ml-1 shrink-0 px-1 border border-divider-deep rounded-md text-text-tertiary text-xs font-normal leading-[18px]'>{t('dataset.unavailable')}</span>
                   )}
                 </div>
                 {
@@ -157,7 +160,7 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({
       )}
       {loaded && (
         <div className='flex justify-between items-center mt-8'>
-          <div className='text-sm  font-medium text-gray-700'>
+          <div className='text-sm  font-medium text-text-secondary'>
             {selected.length > 0 && `${selected.length} ${t('appDebug.feature.dataSet.selected')}`}
           </div>
           <div className='flex space-x-2'>
diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css b/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css
deleted file mode 100644
index b560f29c43..0000000000
--- a/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css
+++ /dev/null
@@ -1,13 +0,0 @@
-.item {
-  box-shadow: 0px 1px 2px rgba(16, 24, 40, 0.05);
-}
-
-.item:hover,
-.item.selected {
-  background: #F5F8FF;
-  border-color: #528BFF;
-}
-
-.item.disabled {
-  @apply bg-white border-gray-200 cursor-default;
-}
diff --git a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
index e00eb40341..ec2ed78a15 100644
--- a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx
@@ -172,14 +172,14 @@ const SettingsModal: FC<SettingsModalProps> = ({
 
   return (
     <div
-      className='overflow-hidden w-full flex flex-col bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl'
+      className='overflow-hidden w-full flex flex-col bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl'
       style={{
         height: 'calc(100vh - 72px)',
       }}
       ref={ref}
     >
-      <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'>
-        <div className='flex flex-col text-base font-semibold text-gray-900'>
+      <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'>
+        <div className='flex flex-col text-base font-semibold text-text-primary'>
           <div className='leading-6'>{t('datasetSettings.title')}</div>
         </div>
         <div className='flex items-center'>
@@ -187,14 +187,12 @@ const SettingsModal: FC<SettingsModalProps> = ({
             onClick={onCancel}
             className='flex justify-center items-center w-6 h-6 cursor-pointer'
           >
-            <RiCloseLine className='w-4 h-4 text-gray-500' />
+            <RiCloseLine className='w-4 h-4 text-text-tertiary' />
           </div>
         </div>
       </div>
       {/* Body */}
-      <div className='p-6 pt-5 border-b overflow-y-auto pb-[68px]' style={{
-        borderBottom: 'rgba(0, 0, 0, 0.05)',
-      }}>
+      <div className='p-6 pt-5 border-b border-divider-regular overflow-y-auto pb-[68px]'>
         <div className={cn(rowClass, 'items-center')}>
           <div className={labelClass}>
             <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.name')}</div>
@@ -217,7 +215,7 @@ const SettingsModal: FC<SettingsModalProps> = ({
               className='resize-none'
               placeholder={t('datasetSettings.form.descPlaceholder') || ''}
             />
-            <a className='mt-2 flex items-center h-[18px] px-3 text-xs text-gray-500' href="https://docs.dify.ai/features/datasets#how-to-write-a-good-dataset-description" target='_blank' rel='noopener noreferrer'>
+            <a className='mt-2 flex items-center h-[18px] px-3 text-xs text-text-tertiary' href="https://docs.dify.ai/features/datasets#how-to-write-a-good-dataset-description" target='_blank' rel='noopener noreferrer'>
               <BookOpenIcon className='w-3 h-[18px] mr-1' />
               {t('datasetSettings.form.descWrite')}
             </a>
@@ -260,7 +258,7 @@ const SettingsModal: FC<SettingsModalProps> = ({
               <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.embeddingModel')}</div>
             </div>
             <div className='w-full'>
-              <div className='w-full h-9 rounded-lg bg-gray-100 opacity-60'>
+              <div className='w-full h-8 rounded-lg bg-components-input-bg-normal opacity-60'>
                 <ModelSelector
                   readonly
                   defaultModel={{
@@ -270,9 +268,9 @@ const SettingsModal: FC<SettingsModalProps> = ({
                   modelList={embeddingsModelList}
                 />
               </div>
-              <div className='mt-2 w-full text-xs leading-6 text-gray-500'>
+              <div className='mt-2 w-full text-xs leading-6 text-text-tertiary'>
                 {t('datasetSettings.form.embeddingModelTip')}
-                <span className='text-[#155eef] cursor-pointer' onClick={() => setShowAccountSettingModal({ payload: 'provider' })}>{t('datasetSettings.form.embeddingModelTipLink')}</span>
+                <span className='text-text-accent cursor-pointer' onClick={() => setShowAccountSettingModal({ payload: 'provider' })}>{t('datasetSettings.form.embeddingModelTipLink')}</span>
               </div>
             </div>
           </div>
@@ -326,8 +324,8 @@ const SettingsModal: FC<SettingsModalProps> = ({
             <div className={cn(labelClass, 'w-auto min-w-[168px]')}>
               <div>
                 <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
-                <div className='leading-[18px] text-xs font-normal text-gray-500'>
-                  <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-[#155eef]'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
+                <div className='leading-[18px] text-xs font-normal text-text-tertiary'>
+                  <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
                   {t('datasetSettings.form.retrievalSetting.description')}
                 </div>
               </div>
@@ -360,16 +358,13 @@ const SettingsModal: FC<SettingsModalProps> = ({
             e.stopPropagation()
             e.nativeEvent.stopImmediatePropagation()
           }}>
-            <RiCloseLine className='w-4 h-4 text-gray-500 ' />
+            <RiCloseLine className='w-4 h-4 text-gray-500' />
           </div>
         </div>
       )}
 
       <div
-        className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-white '
-        style={{
-          borderColor: 'rgba(0, 0, 0, 0.05)',
-        }}
+        className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t border-divider-regular bg-background-section'
       >
         <Button
           onClick={onCancel}
diff --git a/web/app/components/app/configuration/debug/chat-user-input.tsx b/web/app/components/app/configuration/debug/chat-user-input.tsx
index cda41917e3..281e328ef9 100644
--- a/web/app/components/app/configuration/debug/chat-user-input.tsx
+++ b/web/app/components/app/configuration/debug/chat-user-input.tsx
@@ -84,7 +84,6 @@ const ChatUserInput = ({
                     onSelect={(i) => { handleInputValueChange(key, i.value as string) }}
                     items={(options || []).map(i => ({ name: i, value: i }))}
                     allowSearch={false}
-                    bgClassName='bg-gray-50'
                   />
                 )}
                 {type === 'number' && (
diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx
index 9f6da8a098..e135574924 100644
--- a/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx
@@ -64,11 +64,11 @@ const DebugItem: FC<DebugItemProps> = ({
 
   return (
     <div
-      className={`flex flex-col min-w-[320px] rounded-xl bg-white border-[0.5px] border-black/5 ${className}`}
+      className={`flex flex-col min-w-[320px] rounded-xl bg-background-section-burn ${className}`}
       style={style}
     >
-      <div className='shrink-0 flex items-center justify-between h-10 px-3 border-b-[0.5px] border-b-black/5'>
-        <div className='flex items-center justify-center w-6 h-5 font-medium italic text-gray-500'>
+      <div className='shrink-0 flex items-center justify-between h-10 px-3 border-b-[0.5px] border-divider-regular'>
+        <div className='flex items-center justify-center w-6 h-5 font-medium italic text-text-tertiary'>
           #{index + 1}
         </div>
         <ModelParameterTrigger
diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx
index 155ebe21ca..49c01aa4b3 100644
--- a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx
+++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx
@@ -73,7 +73,7 @@ const ModelParameterTrigger: FC<ModelParameterTriggerProps> = ({
         <div
           className={`
             flex items-center max-w-[200px] h-8 px-2 rounded-lg cursor-pointer
-            ${open && 'bg-gray-100'}
+            ${open && 'bg-state-base-hover'}
             ${currentModel && currentModel.status !== ModelStatusEnum.active && '!bg-[#FFFAEB]'}
           `}
         >
@@ -88,27 +88,27 @@ const ModelParameterTrigger: FC<ModelParameterTriggerProps> = ({
           }
           {
             !currentProvider && (
-              <div className='flex items-center justify-center mr-1 w-4 h-4 rounded border border-dashed border-primary-100'>
-                <CubeOutline className='w-[11px] h-[11px] text-primary-600' />
+              <div className='flex items-center justify-center mr-1 w-4 h-4 rounded'>
+                <CubeOutline className='w-4 h-4 text-text-accent' />
               </div>
             )
           }
           {
             currentModel && (
               <ModelName
-                className='mr-0.5 text-gray-800'
+                className='mr-0.5 text-text-secondary'
                 modelItem={currentModel}
               />
             )
           }
           {
             !currentModel && (
-              <div className='mr-0.5 text-[13px] font-medium text-primary-600 truncate'>
+              <div className='mr-0.5 text-[13px] font-medium text-text-accent truncate'>
                 {t('common.modelProvider.selectModel')}
               </div>
             )
           }
-          <RiArrowDownSLine className={`w-3 h-3 ${(currentModel && currentProvider) ? 'text-gray-800' : 'text-primary-600'}`} />
+          <RiArrowDownSLine className={`w-3 h-3 ${(currentModel && currentProvider) ? 'text-text-tertiary' : 'text-text-accent'}`} />
           {
             currentModel && currentModel.status !== ModelStatusEnum.active && (
               <Tooltip popupContent={MODEL_STATUS_TEXT[currentModel.status][language]}>
diff --git a/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx b/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx
deleted file mode 100644
index 6d16660e81..0000000000
--- a/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx
+++ /dev/null
@@ -1,300 +0,0 @@
-/* eslint-disable multiline-ternary */
-'use client'
-import type { FC } from 'react'
-import React, { useEffect, useRef, useState } from 'react'
-import {
-  RiAddLine,
-  RiDeleteBinLine,
-} from '@remixicon/react'
-import { useContext } from 'use-context-selector'
-import produce from 'immer'
-import { useTranslation } from 'react-i18next'
-import { useBoolean } from 'ahooks'
-import { ReactSortable } from 'react-sortablejs'
-import cn from '@/utils/classnames'
-import ConfigContext from '@/context/debug-configuration'
-import Panel from '@/app/components/app/configuration/base/feature-panel'
-import Button from '@/app/components/base/button'
-import OperationBtn from '@/app/components/app/configuration/base/operation-btn'
-import { getInputKeys } from '@/app/components/base/block-input'
-import ConfirmAddVar from '@/app/components/app/configuration/config-prompt/confirm-add-var'
-import { getNewVar } from '@/utils/var'
-import { varHighlightHTML } from '@/app/components/app/configuration/base/var-highlight'
-import Toast from '@/app/components/base/toast'
-
-const MAX_QUESTION_NUM = 10
-
-export type IOpeningStatementProps = {
-  value: string
-  readonly?: boolean
-  onChange?: (value: string) => void
-  suggestedQuestions?: string[]
-  onSuggestedQuestionsChange?: (value: string[]) => void
-}
-
-// regex to match the {{}} and replace it with a span
-const regex = /\{\{([^}]+)\}\}/g
-
-const OpeningStatement: FC<IOpeningStatementProps> = ({
-  value = '',
-  readonly,
-  onChange,
-  suggestedQuestions = [],
-  onSuggestedQuestionsChange = () => { },
-}) => {
-  const { t } = useTranslation()
-  const {
-    modelConfig,
-    setModelConfig,
-  } = useContext(ConfigContext)
-  const promptVariables = modelConfig.configs.prompt_variables
-  const [notIncludeKeys, setNotIncludeKeys] = useState<string[]>([])
-
-  const hasValue = !!(value || '').trim()
-  const inputRef = useRef<HTMLTextAreaElement>(null)
-
-  const [isFocus, { setTrue: didSetFocus, setFalse: setBlur }] = useBoolean(false)
-
-  const setFocus = () => {
-    didSetFocus()
-    setTimeout(() => {
-      const input = inputRef.current
-      if (input) {
-        input.focus()
-        input.setSelectionRange(input.value.length, input.value.length)
-      }
-    }, 0)
-  }
-
-  const [tempValue, setTempValue] = useState(value)
-  useEffect(() => {
-    setTempValue(value || '')
-  }, [value])
-
-  const [tempSuggestedQuestions, setTempSuggestedQuestions] = useState(suggestedQuestions || [])
-  const notEmptyQuestions = tempSuggestedQuestions.filter(question => !!question && question.trim())
-  const coloredContent = (tempValue || '')
-    .replace(/</g, '&lt;')
-    .replace(/>/g, '&gt;')
-    .replace(regex, varHighlightHTML({ name: '$1' })) // `<span class="${highLightClassName}">{{$1}}</span>`
-    .replace(/\n/g, '<br />')
-
-  const handleEdit = () => {
-    if (readonly)
-      return
-    setFocus()
-  }
-
-  const [isShowConfirmAddVar, { setTrue: showConfirmAddVar, setFalse: hideConfirmAddVar }] = useBoolean(false)
-
-  const handleCancel = () => {
-    setBlur()
-    setTempValue(value)
-    setTempSuggestedQuestions(suggestedQuestions)
-  }
-
-  const handleConfirm = () => {
-    if (!(tempValue || '').trim()) {
-      Toast.notify({
-        type: 'error',
-        message: t('common.errorMsg.fieldRequired', {
-          field: t('appDebug.openingStatement.title'),
-        }),
-      })
-      return
-    }
-    const keys = getInputKeys(tempValue)
-    const promptKeys = promptVariables.map(item => item.key)
-    let notIncludeKeys: string[] = []
-
-    if (promptKeys.length === 0) {
-      if (keys.length > 0)
-        notIncludeKeys = keys
-    }
-    else {
-      notIncludeKeys = keys.filter(key => !promptKeys.includes(key))
-    }
-
-    if (notIncludeKeys.length > 0) {
-      setNotIncludeKeys(notIncludeKeys)
-      showConfirmAddVar()
-      return
-    }
-    setBlur()
-    onChange?.(tempValue)
-    onSuggestedQuestionsChange(tempSuggestedQuestions)
-  }
-
-  const cancelAutoAddVar = () => {
-    onChange?.(tempValue)
-    hideConfirmAddVar()
-    setBlur()
-  }
-
-  const autoAddVar = () => {
-    const newModelConfig = produce(modelConfig, (draft) => {
-      draft.configs.prompt_variables = [...draft.configs.prompt_variables, ...notIncludeKeys.map(key => getNewVar(key, 'string'))]
-    })
-    onChange?.(tempValue)
-    setModelConfig(newModelConfig)
-    hideConfirmAddVar()
-    setBlur()
-  }
-
-  const headerRight = !readonly ? (
-    isFocus ? (
-      <div className='flex items-center space-x-1'>
-        <Button
-          variant='ghost'
-          size='small'
-          onClick={handleCancel}
-        >
-          {t('common.operation.cancel')}
-        </Button>
-        <Button
-          onClick={handleConfirm}
-          variant="primary"
-          size='small'
-        >
-          {t('common.operation.save')}
-        </Button>
-      </div>
-    ) : (
-      <OperationBtn type='edit' actionName={hasValue ? '' : t('appDebug.openingStatement.writeOpener') as string} onClick={handleEdit} />
-    )
-  ) : null
-
-  const renderQuestions = () => {
-    return isFocus ? (
-      <div>
-        <div className='flex items-center py-2'>
-          <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-gray-500'>
-            <div className='uppercase'>{t('appDebug.openingStatement.openingQuestion')}</div>
-            <div>·</div>
-            <div>{tempSuggestedQuestions.length}/{MAX_QUESTION_NUM}</div>
-          </div>
-          <div className='ml-3 grow w-0 h-px bg-[#243, 244, 246]'></div>
-        </div>
-        <ReactSortable
-          className="space-y-1"
-          list={tempSuggestedQuestions.map((name, index) => {
-            return {
-              id: index,
-              name,
-            }
-          })}
-          setList={list => setTempSuggestedQuestions(list.map(item => item.name))}
-          handle='.handle'
-          ghostClass="opacity-50"
-          animation={150}
-        >
-          {tempSuggestedQuestions.map((question, index) => {
-            return (
-              <div className='group relative rounded-lg border border-gray-200 flex items-center pl-2.5 hover:border-gray-300 hover:bg-white' key={index}>
-                <div className='handle flex items-center justify-center w-4 h-4 cursor-grab'>
-                  <svg width="6" height="10" viewBox="0 0 6 10" fill="none" xmlns="http://www.w3.org/2000/svg">
-                    <path fillRule="evenodd" clipRule="evenodd" d="M1 2C1.55228 2 2 1.55228 2 1C2 0.447715 1.55228 0 1 0C0.447715 0 0 0.447715 0 1C0 1.55228 0.447715 2 1 2ZM1 6C1.55228 6 2 5.55228 2 5C2 4.44772 1.55228 4 1 4C0.447715 4 0 4.44772 0 5C0 5.55228 0.447715 6 1 6ZM6 1C6 1.55228 5.55228 2 5 2C4.44772 2 4 1.55228 4 1C4 0.447715 4.44772 0 5 0C5.55228 0 6 0.447715 6 1ZM5 6C5.55228 6 6 5.55228 6 5C6 4.44772 5.55228 4 5 4C4.44772 4 4 4.44772 4 5C4 5.55228 4.44772 6 5 6ZM2 9C2 9.55229 1.55228 10 1 10C0.447715 10 0 9.55229 0 9C0 8.44771 0.447715 8 1 8C1.55228 8 2 8.44771 2 9ZM5 10C5.55228 10 6 9.55229 6 9C6 8.44771 5.55228 8 5 8C4.44772 8 4 8.44771 4 9C4 9.55229 4.44772 10 5 10Z" fill="#98A2B3" />
-                  </svg>
-                </div>
-                <input
-                  type="input"
-                  value={question || ''}
-                  onChange={(e) => {
-                    const value = e.target.value
-                    setTempSuggestedQuestions(tempSuggestedQuestions.map((item, i) => {
-                      if (index === i)
-                        return value
-
-                      return item
-                    }))
-                  }}
-                  className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-gray-900 border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'}
-                />
-
-                <div
-                  className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer hover:bg-[#FEE4E2] hover:text-[#D92D20]'
-                  onClick={() => {
-                    setTempSuggestedQuestions(tempSuggestedQuestions.filter((_, i) => index !== i))
-                  }}
-                >
-                  <RiDeleteBinLine className='w-3.5 h-3.5' />
-                </div>
-              </div>
-            )
-          })}</ReactSortable>
-        {tempSuggestedQuestions.length < MAX_QUESTION_NUM && (
-          <div
-            onClick={() => { setTempSuggestedQuestions([...tempSuggestedQuestions, '']) }}
-            className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-gray-400  bg-gray-100 hover:bg-gray-200'>
-            <RiAddLine className='w-4 h-4' />
-            <div className='text-gray-500 text-[13px]'>{t('appDebug.variableConfig.addOption')}</div>
-          </div>
-        )}
-      </div>
-    ) : (
-      <div className='mt-1.5 flex flex-wrap'>
-        {notEmptyQuestions.map((question, index) => {
-          return (
-            <div key={index} className='mt-1 mr-1 max-w-full truncate last:mr-0 shrink-0 leading-8 items-center px-2.5 rounded-lg border border-gray-200 shadow-xs bg-white text-[13px] font-normal text-gray-900 cursor-pointer'>
-              {question}
-            </div>
-          )
-        })}
-      </div>
-    )
-  }
-
-  return (
-    <Panel
-      className={cn(isShowConfirmAddVar && 'h-[220px]', 'relative mt-4 !bg-gray-25')}
-      title={t('appDebug.openingStatement.title')}
-      headerIcon={
-        <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
-          <path fillRule="evenodd" clipRule="evenodd" d="M8.33353 1.33301C4.83572 1.33301 2.00019 4.16854 2.00019 7.66634C2.00019 8.37301 2.11619 9.05395 2.3307 9.69036C2.36843 9.80229 2.39063 9.86853 2.40507 9.91738L2.40979 9.93383L2.40729 9.93903C2.39015 9.97437 2.36469 10.0218 2.31705 10.11L1.2158 12.1484C1.14755 12.2746 1.07633 12.4064 1.02735 12.5209C0.978668 12.6348 0.899813 12.8437 0.938613 13.0914C0.984094 13.3817 1.15495 13.6373 1.40581 13.7903C1.61981 13.9208 1.843 13.9279 1.96683 13.9264C2.09141 13.925 2.24036 13.9095 2.38314 13.8947L5.81978 13.5395C5.87482 13.5338 5.9036 13.5309 5.92468 13.5292L5.92739 13.529L5.93564 13.532C5.96154 13.5413 5.99666 13.5548 6.0573 13.5781C6.76459 13.8506 7.53244 13.9997 8.33353 13.9997C11.8313 13.9997 14.6669 11.1641 14.6669 7.66634C14.6669 4.16854 11.8313 1.33301 8.33353 1.33301ZM5.9799 5.72116C6.73142 5.08698 7.73164 5.27327 8.33144 5.96584C8.93125 5.27327 9.91854 5.09365 10.683 5.72116C11.4474 6.34867 11.5403 7.41567 10.9501 8.16572C10.5845 8.6304 9.6668 9.47911 9.02142 10.0576C8.78435 10.2702 8.66582 10.3764 8.52357 10.4192C8.40154 10.456 8.26134 10.456 8.13931 10.4192C7.99706 10.3764 7.87853 10.2702 7.64147 10.0576C6.99609 9.47911 6.07839 8.6304 5.71276 8.16572C5.12259 7.41567 5.22839 6.35534 5.9799 5.72116Z" fill="#E74694" />
-        </svg>
-      }
-      headerRight={headerRight}
-      hasHeaderBottomBorder={!hasValue}
-      isFocus={isFocus}
-    >
-      <div className='text-gray-700 text-sm'>
-        {(hasValue || (!hasValue && isFocus)) ? (
-          <>
-            {isFocus
-              ? (
-                <div>
-                  <textarea
-                    ref={inputRef}
-                    value={tempValue}
-                    rows={3}
-                    onChange={e => setTempValue(e.target.value)}
-                    className="w-full px-0 text-sm  border-0 bg-transparent focus:outline-none "
-                    placeholder={t('appDebug.openingStatement.placeholder') as string}
-                  >
-                  </textarea>
-                </div>
-              )
-              : (
-                <div dangerouslySetInnerHTML={{
-                  __html: coloredContent,
-                }}></div>
-              )}
-            {renderQuestions()}
-          </>) : (
-          <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.openingStatement.noDataPlaceHolder')}</div>
-        )}
-
-        {isShowConfirmAddVar && (
-          <ConfirmAddVar
-            varNameArr={notIncludeKeys}
-            onConfirm={autoAddVar}
-            onCancel={cancelAutoAddVar}
-            onHide={hideConfirmAddVar}
-          />
-        )}
-
-      </div>
-    </Panel>
-  )
-}
-export default React.memo(OpeningStatement)
diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx
index 3a5ee386bb..1d37f73724 100644
--- a/web/app/components/app/configuration/index.tsx
+++ b/web/app/components/app/configuration/index.tsx
@@ -19,6 +19,7 @@ import {
 } from '@/app/components/app/configuration/debug/hooks'
 import type { ModelAndParameter } from '@/app/components/app/configuration/debug/types'
 import Button from '@/app/components/base/button'
+import Divider from '@/app/components/base/divider'
 import Loading from '@/app/components/base/loading'
 import AppPublisher from '@/app/components/app/app-publisher/features-wrapper'
 import type {
@@ -59,7 +60,7 @@ import {
   useTextGenerationCurrentProviderAndModelAndModelList,
 } from '@/app/components/header/account-setting/model-provider-page/hooks'
 import { fetchCollectionList } from '@/service/tools'
-import { type Collection } from '@/app/components/tools/types'
+import type { Collection } from '@/app/components/tools/types'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import {
   getMultipleRetrievalConfig,
@@ -71,6 +72,8 @@ import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants'
 import { SupportUploadFileTypes } from '@/app/components/workflow/types'
 import NewFeaturePanel from '@/app/components/base/features/new-feature-panel'
 import { fetchFileUploadConfig } from '@/service/common'
+import { correctProvider } from '@/utils'
+import PluginDependency from '@/app/components/workflow/plugin-dependency'
 
 type PublishConfig = {
   modelConfig: ModelConfig
@@ -156,7 +159,7 @@ const Configuration: FC = () => {
   const setCompletionParams = (value: FormValue) => {
     const params = { ...value }
 
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+    // eslint-disable-next-line ts/no-use-before-define
     if ((!params.stop || params.stop.length === 0) && (modeModeTypeRef.current === ModelModeType.completion)) {
       params.stop = getTempStop()
       setTempStop([])
@@ -165,7 +168,7 @@ const Configuration: FC = () => {
   }
 
   const [modelConfig, doSetModelConfig] = useState<ModelConfig>({
-    provider: 'openai',
+    provider: 'langgenius/openai/openai',
     model_id: 'gpt-3.5-turbo',
     mode: ModelModeType.unset,
     configs: {
@@ -188,7 +191,7 @@ const Configuration: FC = () => {
 
   const isAgent = mode === 'agent-chat'
 
-  const isOpenAI = modelConfig.provider === 'openai'
+  const isOpenAI = modelConfig.provider === 'langgenius/openai/openai'
 
   const [collectionList, setCollectionList] = useState<Collection[]>([])
   useEffect(() => {
@@ -361,7 +364,7 @@ const Configuration: FC = () => {
   const [canReturnToSimpleMode, setCanReturnToSimpleMode] = useState(true)
   const setPromptMode = async (mode: PromptMode) => {
     if (mode === PromptMode.advanced) {
-      // eslint-disable-next-line @typescript-eslint/no-use-before-define
+      // eslint-disable-next-line ts/no-use-before-define
       await migrateToDefaultPrompt()
       setCanReturnToSimpleMode(true)
     }
@@ -547,8 +550,19 @@ const Configuration: FC = () => {
         if (modelConfig.retriever_resource)
           setCitationConfig(modelConfig.retriever_resource)
 
-        if (modelConfig.annotation_reply)
-          setAnnotationConfig(modelConfig.annotation_reply, true)
+        if (modelConfig.annotation_reply) {
+          let annotationConfig = modelConfig.annotation_reply
+          if (modelConfig.annotation_reply.enabled) {
+            annotationConfig = {
+              ...modelConfig.annotation_reply,
+              embedding_model: {
+                ...modelConfig.annotation_reply.embedding_model,
+                embedding_provider_name: correctProvider(modelConfig.annotation_reply.embedding_model.embedding_provider_name),
+              },
+            }
+          }
+          setAnnotationConfig(annotationConfig, true)
+        }
 
         if (modelConfig.sensitive_word_avoidance)
           setModerationConfig(modelConfig.sensitive_word_avoidance)
@@ -558,7 +572,7 @@ const Configuration: FC = () => {
 
         const config = {
           modelConfig: {
-            provider: model.provider,
+            provider: correctProvider(model.provider),
             model_id: model.name,
             mode: model.mode,
             configs: {
@@ -600,7 +614,6 @@ const Configuration: FC = () => {
             annotation_reply: modelConfig.annotation_reply,
             external_data_tools: modelConfig.external_data_tools,
             dataSets: datasets || [],
-            // eslint-disable-next-line multiline-ternary
             agentConfig: res.mode === 'agent-chat' ? {
               max_iteration: DEFAULT_AGENT_SETTING.max_iteration,
               ...modelConfig.agent_mode,
@@ -611,8 +624,12 @@ const Configuration: FC = () => {
               }).map((tool: any) => {
                 return {
                   ...tool,
-                  isDeleted: res.deleted_tools?.includes(tool.tool_name),
+                  isDeleted: res.deleted_tools?.some((deletedTool: any) => deletedTool.id === tool.id && deletedTool.tool_name === tool.tool_name),
                   notAuthor: collectionList.find(c => tool.provider_id === c.id)?.is_team_authorization === false,
+                  ...(tool.provider_type === 'builtin' ? {
+                    provider_id: correctProvider(tool.provider_name),
+                    provider_name: correctProvider(tool.provider_name),
+                  } : {}),
                 }
               }),
             } : DEFAULT_AGENT_SETTING,
@@ -633,6 +650,12 @@ const Configuration: FC = () => {
           retrieval_model: RETRIEVE_TYPE.multiWay,
           ...modelConfig.dataset_configs,
           ...retrievalConfig,
+          ...(retrievalConfig.reranking_model ? {
+            reranking_model: {
+              ...retrievalConfig.reranking_model,
+              reranking_provider_name: correctProvider(modelConfig.dataset_configs.reranking_model.reranking_provider_name),
+            },
+          } : {}),
         })
         setHasFetchedDetail(true)
       })
@@ -873,13 +896,13 @@ const Configuration: FC = () => {
           <div className="flex flex-col h-full">
             <div className='relative flex grow h-[200px] pt-14'>
               {/* Header */}
-              <div className='absolute top-0 left-0 w-full bg-white h-14'>
+              <div className='absolute top-0 left-0 w-full bg-default-subtle h-14'>
                 <div className='flex items-center justify-between px-6 h-14'>
                   <div className='flex items-center'>
-                    <div className='text-base font-semibold leading-6 text-gray-900'>{t('appDebug.orchestrate')}</div>
+                    <div className='system-xl-semibold text-text-primary'>{t('appDebug.orchestrate')}</div>
                     <div className='flex items-center h-[14px] space-x-1 text-xs'>
                       {isAdvancedMode && (
-                        <div className='ml-1 flex items-center h-5 px-1.5 border border-gray-100 rounded-md text-[11px] font-medium text-gray-500 uppercase'>{t('appDebug.promptMode.advanced')}</div>
+                        <div className='ml-1 flex items-center h-5 px-1.5 border border-components-button-secondary-border rounded-md system-xs-medium-uppercase text-text-tertiary uppercase'>{t('appDebug.promptMode.advanced')}</div>
                       )}
                     </div>
                   </div>
@@ -915,13 +938,13 @@ const Configuration: FC = () => {
                           debugWithMultipleModel={debugWithMultipleModel}
                           onDebugWithMultipleModelChange={handleDebugWithMultipleModelChange}
                         />
-                        <div className='mx-2 w-[1px] h-[14px] bg-gray-200'></div>
+                        <Divider type='vertical' className='mx-2 h-[14px]' />
                       </>
                     )}
                     {isMobile && (
-                      <Button className='!h-8 !text-[13px] font-medium' onClick={showDebugPanel}>
+                      <Button className='mr-2 !h-8 !text-[13px] font-medium' onClick={showDebugPanel}>
                         <span className='mr-1'>{t('appDebug.operation.debugConfig')}</span>
-                        <CodeBracketIcon className="w-4 h-4 text-gray-500" />
+                        <CodeBracketIcon className="w-4 h-4 text-text-tertiary" />
                       </Button>
                     )}
                     <AppPublisher {...{
@@ -992,7 +1015,7 @@ const Configuration: FC = () => {
             />
           )}
           {isMobile && (
-            <Drawer showClose isOpen={isShowDebugPanel} onClose={hideDebugPanel} mask footer={null} panelClassname='!bg-gray-50'>
+            <Drawer showClose isOpen={isShowDebugPanel} onClose={hideDebugPanel} mask footer={null}>
               <Debug
                 isAPIKeySet={isAPIKeySet}
                 onSetting={() => setShowAccountSettingModal({ payload: 'provider' })}
@@ -1020,6 +1043,7 @@ const Configuration: FC = () => {
               onAutoAddPromptVariable={handleAddPromptVariable}
             />
           )}
+          <PluginDependency />
         </>
       </FeaturesProvider>
     </ConfigContext.Provider>
diff --git a/web/app/components/app/configuration/prompt-value-panel/index.tsx b/web/app/components/app/configuration/prompt-value-panel/index.tsx
index a4aadc9576..2625f224eb 100644
--- a/web/app/components/app/configuration/prompt-value-panel/index.tsx
+++ b/web/app/components/app/configuration/prompt-value-panel/index.tsx
@@ -157,7 +157,7 @@ const PromptValuePanel: FC<IPromptValuePanelProps> = ({
             ))}
             {visionConfig?.enabled && (
               <div className="mt-3 xl:flex justify-between">
-                <div className="mr-1 py-2 shrink-0 w-[120px] text-sm text-gray-900">{t('common.imageUploader.imageUpload')}</div>
+                <div className="mr-1 py-2 shrink-0 w-[120px] text-sm text-text-primary">{t('common.imageUploader.imageUpload')}</div>
                 <div className='grow'>
                   <TextGenerationImageUploader
                     settings={visionConfig}
diff --git a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx b/web/app/components/app/configuration/toolbox/annotation/config-param.tsx
deleted file mode 100644
index e418a76c34..0000000000
--- a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx
+++ /dev/null
@@ -1,124 +0,0 @@
-'use client'
-import type { FC } from 'react'
-import React from 'react'
-import { useTranslation } from 'react-i18next'
-import { useContext } from 'use-context-selector'
-import { usePathname, useRouter } from 'next/navigation'
-import ConfigParamModal from './config-param-modal'
-import Panel from '@/app/components/app/configuration/base/feature-panel'
-import { MessageFast } from '@/app/components/base/icons/src/vender/solid/communication'
-import Tooltip from '@/app/components/base/tooltip'
-import { LinkExternal02, Settings04 } from '@/app/components/base/icons/src/vender/line/general'
-import ConfigContext from '@/context/debug-configuration'
-import type { EmbeddingModelConfig } from '@/app/components/app/annotation/type'
-import { fetchAnnotationConfig, updateAnnotationScore } from '@/service/annotation'
-import type { AnnotationReplyConfig as AnnotationReplyConfigType } from '@/models/debug'
-
-type Props = {
-  onEmbeddingChange: (embeddingModel: EmbeddingModelConfig) => void
-  onScoreChange: (score: number, embeddingModel?: EmbeddingModelConfig) => void
-}
-
-export const Item: FC<{ title: string; tooltip: string; children: JSX.Element }> = ({
-  title,
-  tooltip,
-  children,
-}) => {
-  return (
-    <div>
-      <div className='flex items-center space-x-1'>
-        <div>{title}</div>
-        <Tooltip
-          popupContent={
-            <div className='max-w-[200px] leading-[18px] text-[13px] font-medium text-gray-800'>{tooltip}</div>
-          }
-        />
-      </div>
-      <div>{children}</div>
-    </div>
-  )
-}
-
-const AnnotationReplyConfig: FC<Props> = ({
-  onEmbeddingChange,
-  onScoreChange,
-}) => {
-  const { t } = useTranslation()
-  const router = useRouter()
-  const pathname = usePathname()
-  const matched = pathname.match(/\/app\/([^/]+)/)
-  const appId = (matched?.length && matched[1]) ? matched[1] : ''
-  const {
-    annotationConfig,
-  } = useContext(ConfigContext)
-
-  const [isShowEdit, setIsShowEdit] = React.useState(false)
-
-  return (
-    <>
-      <Panel
-        className="mt-4"
-        headerIcon={
-          <MessageFast className='w-4 h-4 text-[#444CE7]' />
-        }
-        title={t('appDebug.feature.annotation.title')}
-        headerRight={
-          <div className='flex items-center'>
-            <div
-              className='flex items-center rounded-md h-7 px-3 space-x-1 text-gray-700 cursor-pointer hover:bg-gray-200'
-              onClick={() => { setIsShowEdit(true) }}
-            >
-              <Settings04 className="w-[14px] h-[14px]" />
-              <div className='text-xs font-medium'>
-
-                {t('common.operation.params')}
-              </div>
-            </div>
-            <div
-              className='ml-1 flex items-center h-7 px-3 space-x-1 leading-[18px] text-xs font-medium text-gray-700 rounded-md cursor-pointer hover:bg-gray-200'
-              onClick={() => {
-                router.push(`/app/${appId}/annotations`)
-              }}>
-              <div>{t('appDebug.feature.annotation.cacheManagement')}</div>
-              <LinkExternal02 className='w-3.5 h-3.5' />
-            </div>
-          </div>
-        }
-        noBodySpacing
-      />
-      {isShowEdit && (
-        <ConfigParamModal
-          appId={appId}
-          isShow
-          onHide={() => {
-            setIsShowEdit(false)
-          }}
-          onSave={async (embeddingModel, score) => {
-            const annotationConfig = await fetchAnnotationConfig(appId) as AnnotationReplyConfigType
-            let isEmbeddingModelChanged = false
-            if (
-              embeddingModel.embedding_model_name !== annotationConfig.embedding_model.embedding_model_name
-              || embeddingModel.embedding_provider_name !== annotationConfig.embedding_model.embedding_provider_name
-            ) {
-              await onEmbeddingChange(embeddingModel)
-              isEmbeddingModelChanged = true
-            }
-
-            if (score !== annotationConfig.score_threshold) {
-              await updateAnnotationScore(appId, annotationConfig.id, score)
-              if (isEmbeddingModelChanged)
-                onScoreChange(score, embeddingModel)
-
-              else
-                onScoreChange(score)
-            }
-
-            setIsShowEdit(false)
-          }}
-          annotationConfig={annotationConfig}
-        />
-      )}
-    </>
-  )
-}
-export default React.memo(AnnotationReplyConfig)
diff --git a/web/app/components/app/configuration/toolbox/index.tsx b/web/app/components/app/configuration/toolbox/index.tsx
deleted file mode 100644
index 00ea301a42..0000000000
--- a/web/app/components/app/configuration/toolbox/index.tsx
+++ /dev/null
@@ -1,45 +0,0 @@
-'use client'
-
-import type { FC } from 'react'
-import React from 'react'
-import { useTranslation } from 'react-i18next'
-import GroupName from '../base/group-name'
-import Moderation from './moderation'
-import Annotation from './annotation/config-param'
-import type { EmbeddingModelConfig } from '@/app/components/app/annotation/type'
-
-export type ToolboxProps = {
-  showModerationSettings: boolean
-  showAnnotation: boolean
-  onEmbeddingChange: (embeddingModel: EmbeddingModelConfig) => void
-  onScoreChange: (score: number, embeddingModel?: EmbeddingModelConfig) => void
-}
-
-const Toolbox: FC<ToolboxProps> = ({
-  showModerationSettings,
-  showAnnotation,
-  onEmbeddingChange,
-  onScoreChange,
-}) => {
-  const { t } = useTranslation()
-
-  return (
-    <div className='mt-7'>
-      <GroupName name={t('appDebug.feature.toolbox.title')} />
-      {
-        showModerationSettings && (
-          <Moderation />
-        )
-      }
-      {
-        showAnnotation && (
-          <Annotation
-            onEmbeddingChange={onEmbeddingChange}
-            onScoreChange={onScoreChange}
-          />
-        )
-      }
-    </div>
-  )
-}
-export default React.memo(Toolbox)
diff --git a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx
index eefdd4514c..e1fe73ee32 100644
--- a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx
+++ b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx
@@ -21,13 +21,13 @@ import { useToastContext } from '@/app/components/base/toast'
 import AppIcon from '@/app/components/base/app-icon'
 
 const systemTypes = ['api']
-type ExternalDataToolModalProps = {
+interface ExternalDataToolModalProps {
   data: ExternalDataTool
   onCancel: () => void
   onSave: (externalDataTool: ExternalDataTool) => void
   onValidateBeforeSave?: (externalDataTool: ExternalDataTool) => boolean
 }
-type Provider = {
+interface Provider {
   key: string
   name: string
   form_schema?: CodeBasedExtensionItem['form_schema']
diff --git a/web/app/components/app/create-app-dialog/app-list/index.tsx b/web/app/components/app/create-app-dialog/app-list/index.tsx
index f158f21d99..a545774f2c 100644
--- a/web/app/components/app/create-app-dialog/app-list/index.tsx
+++ b/web/app/components/app/create-app-dialog/app-list/index.tsx
@@ -27,6 +27,7 @@ import { getRedirection } from '@/utils/app-redirection'
 import Input from '@/app/components/base/input'
 import type { AppMode } from '@/types/app'
 import { DSLImportMode } from '@/models/app'
+import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks'
 
 type AppsProps = {
   onSuccess?: () => void
@@ -119,6 +120,7 @@ const Apps = ({
 
   const [currApp, setCurrApp] = React.useState<App | null>(null)
   const [isShowCreateModal, setIsShowCreateModal] = React.useState(false)
+  const { handleCheckPluginDependencies } = usePluginDependencies()
   const onCreate: CreateAppModalProps['onConfirm'] = async ({
     name,
     icon_type,
@@ -146,6 +148,8 @@ const Apps = ({
       })
       if (onSuccess)
         onSuccess()
+      if (app.app_id)
+        await handleCheckPluginDependencies(app.app_id)
       localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1')
       getRedirection(isCurrentWorkspaceEditor, { id: app.app_id }, push)
     }
diff --git a/web/app/components/app/create-from-dsl-modal/index.tsx b/web/app/components/app/create-from-dsl-modal/index.tsx
index ce06b113bc..26e175eb56 100644
--- a/web/app/components/app/create-from-dsl-modal/index.tsx
+++ b/web/app/components/app/create-from-dsl-modal/index.tsx
@@ -25,6 +25,7 @@ import AppsFull from '@/app/components/billing/apps-full-in-dialog'
 import { NEED_REFRESH_APP_LIST_KEY } from '@/config'
 import { getRedirection } from '@/utils/app-redirection'
 import cn from '@/utils/classnames'
+import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks'
 
 type CreateFromDSLModalProps = {
   show: boolean
@@ -50,6 +51,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
   const [showErrorModal, setShowErrorModal] = useState(false)
   const [versions, setVersions] = useState<{ importedVersion: string; systemVersion: string }>()
   const [importId, setImportId] = useState<string>()
+  const { handleCheckPluginDependencies } = usePluginDependencies()
 
   const readFile = (file: File) => {
     const reader = new FileReader()
@@ -114,6 +116,8 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
           children: status === DSLImportStatus.COMPLETED_WITH_WARNINGS && t('app.newApp.appCreateDSLWarning'),
         })
         localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1')
+        if (app_id)
+          await handleCheckPluginDependencies(app_id)
         getRedirection(isCurrentWorkspaceEditor, { id: app_id }, push)
       }
       else if (status === DSLImportStatus.PENDING) {
@@ -132,6 +136,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
         notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
       }
     }
+    // eslint-disable-next-line unused-imports/no-unused-vars
     catch (e) {
       notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
     }
@@ -158,6 +163,8 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
           type: 'success',
           message: t('app.newApp.appCreated'),
         })
+        if (app_id)
+          await handleCheckPluginDependencies(app_id)
         localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1')
         getRedirection(isCurrentWorkspaceEditor, { id: app_id }, push)
       }
@@ -165,6 +172,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
         notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
       }
     }
+    // eslint-disable-next-line unused-imports/no-unused-vars
     catch (e) {
       notify({ type: 'error', message: t('app.newApp.appCreateFailed') })
     }
@@ -268,7 +276,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS
       >
         <div className='flex pb-4 flex-col items-start gap-2 self-stretch'>
           <div className='text-text-primary title-2xl-semi-bold'>{t('app.newApp.appCreateDSLErrorTitle')}</div>
-          <div className='flex flex-grow flex-col text-text-secondary system-md-regular'>
+          <div className='flex grow flex-col text-text-secondary system-md-regular'>
             <div>{t('app.newApp.appCreateDSLErrorPart1')}</div>
             <div>{t('app.newApp.appCreateDSLErrorPart2')}</div>
             <br />
diff --git a/web/app/components/app/duplicate-modal/index.tsx b/web/app/components/app/duplicate-modal/index.tsx
index bcad1c24f2..25a5cbf6c1 100644
--- a/web/app/components/app/duplicate-modal/index.tsx
+++ b/web/app/components/app/duplicate-modal/index.tsx
@@ -13,7 +13,7 @@ import { useProviderContext } from '@/context/provider-context'
 import AppsFull from '@/app/components/billing/apps-full-in-dialog'
 import type { AppIconType } from '@/types/app'
 
-export type DuplicateAppModalProps = {
+export interface DuplicateAppModalProps {
   appName: string
   icon_type: AppIconType | null
   icon: string
diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx
index 383aeb1492..2862eebfa7 100644
--- a/web/app/components/app/log/list.tsx
+++ b/web/app/components/app/log/list.tsx
@@ -79,6 +79,9 @@ const HandThumbIconWithCount: FC<{ count: number; iconType: 'up' | 'down' }> = (
 }
 
 const statusTdRender = (statusCount: StatusCount) => {
+  if (!statusCount)
+    return null
+
   if (statusCount.partial_success + statusCount.failed === 0) {
     return (
       <div className='inline-flex items-center gap-1 system-xs-semibold-uppercase'>
diff --git a/web/app/components/app/overview/apikey-info-panel/index.tsx b/web/app/components/app/overview/apikey-info-panel/index.tsx
index 661a88e823..2ca098a313 100644
--- a/web/app/components/app/overview/apikey-info-panel/index.tsx
+++ b/web/app/components/app/overview/apikey-info-panel/index.tsx
@@ -27,8 +27,8 @@ const APIKeyInfoPanel: FC = () => {
     return null
 
   return (
-    <div className={cn('bg-[#EFF4FF] border-[#D1E0FF]', 'mb-6 relative  rounded-2xl shadow-md border  p-8 ')}>
-      <div className={cn('text-[24px] text-gray-800 font-semibold', isCloud ? 'flex items-center h-8 space-x-1' : 'leading-8 mb-6')}>
+    <div className={cn('bg-components-panel-bg border-components-panel-border', 'mb-6 relative rounded-2xl shadow-md border p-8 ')}>
+      <div className={cn('text-[24px] text-text-primary font-semibold', isCloud ? 'flex items-center h-8 space-x-1' : 'leading-8 mb-6')}>
         {isCloud && <em-emoji id={'😀'} />}
         {isCloud
           ? (
@@ -42,11 +42,11 @@ const APIKeyInfoPanel: FC = () => {
           )}
       </div>
       {isCloud && (
-        <div className='mt-1 text-sm text-gray-600 font-normal'>{t(`appOverview.apiKeyInfo.cloud.${'trial'}.description`)}</div>
+        <div className='mt-1 text-sm text-text-tertiary font-normal'>{t(`appOverview.apiKeyInfo.cloud.${'trial'}.description`)}</div>
       )}
       <Button
         variant='primary'
-        className='space-x-2'
+        className='mt-2 space-x-2'
         onClick={() => setShowAccountSettingModal({ payload: 'provider' })}
       >
         <div className='text-sm font-medium'>{t('appOverview.apiKeyInfo.setAPIBtn')}</div>
@@ -65,7 +65,7 @@ const APIKeyInfoPanel: FC = () => {
       <div
         onClick={() => setIsShow(false)}
         className='absolute right-4 top-4 flex items-center justify-center w-8 h-8 cursor-pointer '>
-        <RiCloseLine className='w-4 h-4 text-gray-500' />
+        <RiCloseLine className='w-4 h-4 text-text-tertiary' />
       </div>
     </div>
   )
diff --git a/web/app/components/app/overview/apikey-info-panel/progress/index.tsx b/web/app/components/app/overview/apikey-info-panel/progress/index.tsx
deleted file mode 100644
index 3a4accbb43..0000000000
--- a/web/app/components/app/overview/apikey-info-panel/progress/index.tsx
+++ /dev/null
@@ -1,29 +0,0 @@
-'use client'
-import type { FC } from 'react'
-import React from 'react'
-import s from './style.module.css'
-import cn from '@/utils/classnames'
-
-export type IProgressProps = {
-  className?: string
-  value: number // percent
-}
-
-const Progress: FC<IProgressProps> = ({
-  className,
-  value,
-}) => {
-  const exhausted = value === 100
-  return (
-    <div className={cn(className, 'relative grow h-2 flex bg-gray-200 rounded-md overflow-hidden')}>
-      <div
-        className={cn(s.bar, exhausted && s['bar-error'], 'absolute top-0 left-0 right-0 bottom-0')}
-        style={{ width: `${value}%` }}
-      />
-      {Array(10).fill(0).map((i, k) => (
-        <div key={k} className={s['bar-item']} />
-      ))}
-    </div>
-  )
-}
-export default React.memo(Progress)
diff --git a/web/app/components/app/overview/apikey-info-panel/progress/style.module.css b/web/app/components/app/overview/apikey-info-panel/progress/style.module.css
deleted file mode 100644
index 94c3ef45cf..0000000000
--- a/web/app/components/app/overview/apikey-info-panel/progress/style.module.css
+++ /dev/null
@@ -1,16 +0,0 @@
-.bar {
-  background: linear-gradient(90deg, rgba(41, 112, 255, 0.9) 0%, rgba(21, 94, 239, 0.9) 100%);
-}
-
-.bar-error {
-  background: linear-gradient(90deg, rgba(240, 68, 56, 0.72) 0%, rgba(217, 45, 32, 0.9) 100%);
-}
-
-.bar-item {
-  width: 10%;
-  border-right: 1px solid rgba(255, 255, 255, 0.5);
-}
-
-.bar-item:last-of-type {
-  border-right: 0;
-}
\ No newline at end of file
diff --git a/web/app/components/app/overview/appChart.tsx b/web/app/components/app/overview/appChart.tsx
index 43b1cb6afe..3d8de9077a 100644
--- a/web/app/components/app/overview/appChart.tsx
+++ b/web/app/components/app/overview/appChart.tsx
@@ -215,8 +215,8 @@ const Chart: React.FC<IChartProps> = ({
             return `<div style='color:#6B7280;font-size:12px'>${params.name}</div>
                           <div style='font-size:14px;color:#1F2A37'>${valueFormatter((params.data as any)[yField])}
                               ${!CHART_TYPE_CONFIG[chartType].showTokens
-    ? ''
-    : `<span style='font-size:12px'>
+                                ? ''
+                                : `<span style='font-size:12px'>
                                   <span style='margin-left:4px;color:#6B7280'>(</span>
                                   <span style='color:#FF8A4C'>~$${get(params.data, 'total_price', 0)}</span>
                                   <span style='color:#6B7280'>)</span>
@@ -230,7 +230,7 @@ const Chart: React.FC<IChartProps> = ({
   const sumData = isAvg ? (sum(yData) / yData.length) : sum(yData)
 
   return (
-    <div className={`flex flex-col w-full px-6 py-4 border-[0.5px] rounded-lg border-gray-200 shadow-xs ${className ?? ''}`}>
+    <div className={`flex flex-col w-full px-6 py-4 rounded-xl bg-components-chart-bg shadow-xs ${className ?? ''}`}>
       <div className='mb-3'>
         <Basic name={title} type={timePeriod} hoverTip={explanation} />
       </div>
@@ -241,11 +241,11 @@ const Chart: React.FC<IChartProps> = ({
           type={!CHART_TYPE_CONFIG[chartType].showTokens
             ? ''
             : <span>{t('appOverview.analysis.tokenUsage.consumed')} Tokens<span className='text-sm'>
-              <span className='ml-1 text-gray-500'>(</span>
-              <span className='text-orange-400'>~{sum(statistics.map(item => parseFloat(get(item, 'total_price', '0')))).toLocaleString('en-US', { style: 'currency', currency: 'USD', minimumFractionDigits: 4 })}</span>
-              <span className='text-gray-500'>)</span>
+              <span className='ml-1 text-text-tertiary'>(</span>
+              <span className='text-orange-400'>~{sum(statistics.map(item => Number.parseFloat(get(item, 'total_price', '0')))).toLocaleString('en-US', { style: 'currency', currency: 'USD', minimumFractionDigits: 4 })}</span>
+              <span className='text-text-tertiary'>)</span>
             </span></span>}
-          textStyle={{ main: `!text-3xl !font-normal ${sumData === 0 ? '!text-gray-300' : ''}` }} />
+          textStyle={{ main: `!text-3xl !font-normal ${sumData === 0 ? '!text-text-quaternary' : ''}` }} />
       </div>
       <ReactECharts option={options} style={{ height: 160 }} />
     </div>
diff --git a/web/app/components/app/overview/customize/index.tsx b/web/app/components/app/overview/customize/index.tsx
index d53aa00a6f..2925ba41ee 100644
--- a/web/app/components/app/overview/customize/index.tsx
+++ b/web/app/components/app/overview/customize/index.tsx
@@ -21,7 +21,7 @@ type IShareLinkProps = {
 }
 
 const StepNum: FC<{ children: React.ReactNode }> = ({ children }) =>
-  <div className='h-7 w-7 flex justify-center items-center flex-shrink-0 mr-3 text-primary-600 bg-primary-50 rounded-2xl'>
+  <div className='h-7 w-7 flex justify-center items-center shrink-0 mr-3 text-text-accent bg-util-colors-blue-blue-50 rounded-2xl'>
     {children}
   </div>
 
@@ -54,27 +54,27 @@ const CustomizeModal: FC<IShareLinkProps> = ({
     className='!max-w-2xl w-[640px]'
     closable={true}
   >
-    <div className='w-full mt-4 px-6 py-5 border-gray-200 rounded-lg border-[0.5px]'>
-      <Tag bordered={true} hideBg={true} className='text-primary-600 border-primary-600 uppercase'>{t(`${prefixCustomize}.way`)} 1</Tag>
-      <p className='my-2 text-base font-medium text-gray-800'>{t(`${prefixCustomize}.way1.name`)}</p>
+    <div className='w-full mt-4 px-6 py-5 border-components-panel-border rounded-lg border-[0.5px]'>
+      <Tag bordered={true} hideBg={true} className='text-text-accent-secondary border-text-accent-secondary uppercase'>{t(`${prefixCustomize}.way`)} 1</Tag>
+      <p className='my-2 system-sm-medium text-text-secondary'>{t(`${prefixCustomize}.way1.name`)}</p>
       <div className='flex py-4'>
         <StepNum>1</StepNum>
         <div className='flex flex-col'>
-          <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step1`)}</div>
-          <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step1Tip`)}</div>
+          <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step1`)}</div>
+          <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step1Tip`)}</div>
           <a href={`https://github.com/langgenius/${isChatApp ? 'webapp-conversation' : 'webapp-text-generator'}`} target='_blank' rel='noopener noreferrer'>
-            <Button><GithubIcon className='text-gray-800 mr-2' />{t(`${prefixCustomize}.way1.step1Operation`)}</Button>
+            <Button><GithubIcon className='text-text-secondary mr-2' />{t(`${prefixCustomize}.way1.step1Operation`)}</Button>
           </a>
         </div>
       </div>
       <div className='flex pt-4'>
         <StepNum>2</StepNum>
         <div className='flex flex-col'>
-          <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step3`)}</div>
-          <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step2Tip`)}</div>
+          <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step3`)}</div>
+          <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step2Tip`)}</div>
           <a href="https://vercel.com/docs/concepts/deployments/git/vercel-for-github" target='_blank' rel='noopener noreferrer'>
             <Button>
-              <div className='mr-1.5 border-solid border-t-0 border-r-[7px] border-l-[7px] border-b-[12px] border-r-transparent border-b-black border-l-transparent border-t-transparent'></div>
+              <div className='mr-1.5 border-solid border-t-0 border-r-[7px] border-l-[7px] border-b-[12px] border-r-transparent border-text-primary border-l-transparent border-t-transparent'></div>
               <span>{t(`${prefixCustomize}.way1.step2Operation`)}</span>
             </Button>
           </a>
@@ -83,9 +83,9 @@ const CustomizeModal: FC<IShareLinkProps> = ({
       <div className='flex py-4'>
         <StepNum>3</StepNum>
         <div className='flex flex-col w-full overflow-hidden'>
-          <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step3`)}</div>
-          <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step3Tip`)}</div>
-          <pre className='overflow-x-scroll box-border py-3 px-4 bg-gray-100 text-xs font-medium rounded-lg select-text'>
+          <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step3`)}</div>
+          <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step3Tip`)}</div>
+          <pre className='overflow-x-scroll box-border py-3 px-4 bg-background-section text-xs font-medium rounded-lg select-text text-text-secondary border-[0.5px] border-components-panel-border'>
             NEXT_PUBLIC_APP_ID={`'${appId}'`} <br />
             NEXT_PUBLIC_APP_KEY={'\'<Web API Key From Dify>\''} <br />
             NEXT_PUBLIC_API_URL={`'${api_base_url}'`}
@@ -94,9 +94,9 @@ const CustomizeModal: FC<IShareLinkProps> = ({
       </div>
 
     </div>
-    <div className='w-full mt-4 px-6 py-5 border-gray-200 rounded-lg border-[0.5px]'>
-      <Tag bordered={true} hideBg={true} className='text-primary-600 border-primary-600 uppercase'>{t(`${prefixCustomize}.way`)} 2</Tag>
-      <p className='mt-2 text-base font-medium text-gray-800'>{t(`${prefixCustomize}.way2.name`)}</p>
+    <div className='w-full mt-4 px-6 py-5 border-components-panel-border rounded-lg border-[0.5px]'>
+      <Tag bordered={true} hideBg={true} className='text-text-accent-secondary border-text-accent-secondary uppercase'>{t(`${prefixCustomize}.way`)} 2</Tag>
+      <p className='my-2 system-sm-medium text-text-secondary'>{t(`${prefixCustomize}.way2.name`)}</p>
       <Button
         className='mt-2'
         onClick={() =>
@@ -109,8 +109,8 @@ const CustomizeModal: FC<IShareLinkProps> = ({
           )
         }
       >
-        <span className='text-sm text-gray-800'>{t(`${prefixCustomize}.way2.operation`)}</span>
-        <ArrowTopRightOnSquareIcon className='w-4 h-4 ml-1 text-gray-800 shrink-0' />
+        <span className='text-sm text-text-secondary'>{t(`${prefixCustomize}.way2.operation`)}</span>
+        <ArrowTopRightOnSquareIcon className='w-4 h-4 ml-1 text-text-secondary shrink-0' />
       </Button>
     </div>
   </Modal>
diff --git a/web/app/components/app/overview/embedded/index.tsx b/web/app/components/app/overview/embedded/index.tsx
index b71a3c3fdf..06b06e28a8 100644
--- a/web/app/components/app/overview/embedded/index.tsx
+++ b/web/app/components/app/overview/embedded/index.tsx
@@ -1,15 +1,19 @@
 import React, { useEffect, useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import {
+  RiClipboardFill,
+  RiClipboardLine,
+} from '@remixicon/react'
 import copy from 'copy-to-clipboard'
 import style from './style.module.css'
-import cn from '@/utils/classnames'
 import Modal from '@/app/components/base/modal'
-import copyStyle from '@/app/components/base/copy-btn/style.module.css'
 import Tooltip from '@/app/components/base/tooltip'
 import { useAppContext } from '@/context/app-context'
 import { IS_CE_EDITION } from '@/config'
 import type { SiteInfo } from '@/models/share'
 import { useThemeContext } from '@/app/components/base/chat/embedded-chatbot/theme/theme-context'
+import ActionButton from '@/app/components/base/action-button'
+import cn from '@/utils/classnames'
 
 type Props = {
   siteInfo?: SiteInfo
@@ -35,12 +39,12 @@ const OPTION_MAP = {
       `<script>
  window.difyChatbotConfig = {
   token: '${token}'${isTestEnv
-  ? `,
+    ? `,
   isDev: true`
-  : ''}${IS_CE_EDITION
-  ? `,
+    : ''}${IS_CE_EDITION
+    ? `,
   baseUrl: '${url}'`
-  : ''}
+    : ''}
  }
 </script>
 <script
@@ -119,7 +123,7 @@ const Embedded = ({ siteInfo, isShow, onClose, appBaseUrl, accessToken, classNam
       wrapperClassName={className}
       closable={true}
     >
-      <div className="mb-4 mt-8 text-gray-900 text-[14px] font-medium leading-tight">
+      <div className="mb-4 mt-8 text-text-primary system-sm-medium">
         {t(`${prefixEmbedded}.explanation`)}
       </div>
       <div className="flex flex-wrap items-center justify-between gap-y-2">
@@ -143,30 +147,37 @@ const Embedded = ({ siteInfo, isShow, onClose, appBaseUrl, accessToken, classNam
       {option === 'chromePlugin' && (
         <div className="w-full mt-6">
           <div className={cn('gap-2 py-3 justify-center items-center inline-flex w-full rounded-lg',
-            'bg-primary-600 hover:bg-primary-600/75 hover:shadow-md cursor-pointer text-white hover:shadow-sm flex-shrink-0')}>
+            'bg-primary-600 hover:bg-primary-600/75 cursor-pointer text-white hover:shadow-sm flex-shrink-0')}>
             <div className={`w-4 h-4 relative ${style.pluginInstallIcon}`}></div>
             <div className="text-white text-sm font-medium font-['Inter'] leading-tight" onClick={navigateToChromeUrl}>{t(`${prefixEmbedded}.chromePlugin`)}</div>
           </div>
         </div>
       )}
-      <div className={cn('w-full bg-gray-100 rounded-lg flex-col justify-start items-start inline-flex',
+      <div className={cn('w-full bg-background-section border-[0.5px] border-components-panel-border rounded-lg flex-col justify-start items-start inline-flex',
         'mt-6')}>
-        <div className="inline-flex items-center self-stretch justify-start gap-2 py-1 pl-3 pr-1 border border-black rounded-tl-lg rounded-tr-lg bg-gray-50 border-opacity-5">
-          <div className="grow shrink basis-0 text-slate-700 text-[13px] font-medium leading-none">
+        <div className="inline-flex items-center self-stretch justify-start gap-2 py-1 pl-3 pr-1  rounded-t-lg bg-background-section-burn">
+          <div className="grow shrink-0 text-text-secondary system-sm-medium">
             {t(`${prefixEmbedded}.${option}`)}
           </div>
-          <div className="flex items-center justify-center gap-1 p-2 rounded-lg">
-            <Tooltip
-              popupContent={(isCopied[option] ? t(`${prefixEmbedded}.copied`) : t(`${prefixEmbedded}.copy`)) || ''}
-            >
-              <div className="w-8 h-8 rounded-lg cursor-pointer hover:bg-gray-100">
-                <div onClick={onClickCopy} className={`w-full h-full ${copyStyle.copyIcon} ${isCopied[option] ? copyStyle.copied : ''}`}></div>
+          <Tooltip
+            popupContent={
+              (isCopied[option]
+                ? t(`${prefixEmbedded}.copied`)
+                : t(`${prefixEmbedded}.copy`)) || ''
+            }
+          >
+            <ActionButton>
+              <div
+                onClick={onClickCopy}
+              >
+                {isCopied[option] && <RiClipboardFill className='w-4 h-4' />}
+                {!isCopied[option] && <RiClipboardLine className='w-4 h-4' />}
               </div>
-            </Tooltip>
-          </div>
+            </ActionButton>
+          </Tooltip>
         </div>
         <div className="flex items-start justify-start w-full gap-2 p-3 overflow-x-auto">
-          <div className="grow shrink basis-0 text-slate-700 text-[13px] leading-tight font-mono">
+          <div className="grow shrink basis-0 text-text-secondary text-[13px] leading-tight font-mono">
             <pre className='select-text'>{OPTION_MAP[option].getContent(appBaseUrl, accessToken, themeBuilder.theme?.primaryColor ?? '#1C64F2', isTestEnv)}</pre>
           </div>
         </div>
diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx
index b798be31c7..f1340c08be 100644
--- a/web/app/components/app/overview/settings/index.tsx
+++ b/web/app/components/app/overview/settings/index.tsx
@@ -355,7 +355,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({
                 <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.entry`)}</div>
                 <p className={cn('pb-0.5 text-text-tertiary body-xs-regular')}>{t(`${prefixSettings}.more.copyRightPlaceholder`)} & {t(`${prefixSettings}.more.privacyPolicyPlaceholder`)}</p>
               </div>
-              <RiArrowRightSLine className='shrink-0 ml-1 w-4 h-4 text-text-secondary'/>
+              <RiArrowRightSLine className='shrink-0 ml-1 w-4 h-4 text-text-secondary' />
             </div>
           )}
           {/* more settings */}
diff --git a/web/app/components/app/store.ts b/web/app/components/app/store.ts
index 5f02f92f0d..3764895ac9 100644
--- a/web/app/components/app/store.ts
+++ b/web/app/components/app/store.ts
@@ -2,7 +2,7 @@ import { create } from 'zustand'
 import type { App, AppSSO } from '@/types/app'
 import type { IChatItem } from '@/app/components/base/chat/chat/type'
 
-type State = {
+interface State {
   appDetail?: App & Partial<AppSSO>
   appSidebarExpand: string
   currentLogItem?: IChatItem
@@ -13,7 +13,7 @@ type State = {
   showAppConfigureFeaturesModal: boolean
 }
 
-type Action = {
+interface Action {
   setAppDetail: (appDetail?: App & Partial<AppSSO>) => void
   setAppSiderbarExpand: (state: string) => void
   setCurrentLogItem: (item?: IChatItem) => void
diff --git a/web/app/components/app/switch-app-modal/index.tsx b/web/app/components/app/switch-app-modal/index.tsx
index 5b45095251..e1fe809e10 100644
--- a/web/app/components/app/switch-app-modal/index.tsx
+++ b/web/app/components/app/switch-app-modal/index.tsx
@@ -25,7 +25,7 @@ import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/aler
 import AppIcon from '@/app/components/base/app-icon'
 import { useStore as useAppStore } from '@/app/components/app/store'
 
-type SwitchAppModalProps = {
+interface SwitchAppModalProps {
   show: boolean
   appDetail: App
   onSuccess?: () => void
diff --git a/web/app/components/app/text-generate/item/index.tsx b/web/app/components/app/text-generate/item/index.tsx
index 3e2f837685..5f0b645570 100644
--- a/web/app/components/app/text-generate/item/index.tsx
+++ b/web/app/components/app/text-generate/item/index.tsx
@@ -33,7 +33,7 @@ import { useChatContext } from '@/app/components/base/chat/chat/context'
 
 const MAX_DEPTH = 3
 
-export type IGenerationItemProps = {
+export interface IGenerationItemProps {
   isWorkflow?: boolean
   workflowProcessData?: WorkflowProcess
   className?: string
diff --git a/web/app/components/app/type-selector/index.tsx b/web/app/components/app/type-selector/index.tsx
index 9deb3e956f..74303c3735 100644
--- a/web/app/components/app/type-selector/index.tsx
+++ b/web/app/components/app/type-selector/index.tsx
@@ -9,7 +9,7 @@ import {
   PortalToFollowElemTrigger,
 } from '@/app/components/base/portal-to-follow-elem'
 import { BubbleTextMod, ChatBot, ListSparkle, Logic } from '@/app/components/base/icons/src/vender/solid/communication'
-import { type AppMode } from '@/types/app'
+import type { AppMode } from '@/types/app'
 export type AppSelectorProps = {
   value: Array<AppMode>
   onChange: (value: AppSelectorProps['value']) => void
diff --git a/web/app/components/app/workflow-log/detail.tsx b/web/app/components/app/workflow-log/detail.tsx
index 2ee9f83c54..f5cf7c3a3b 100644
--- a/web/app/components/app/workflow-log/detail.tsx
+++ b/web/app/components/app/workflow-log/detail.tsx
@@ -4,7 +4,7 @@ import { useTranslation } from 'react-i18next'
 import { RiCloseLine } from '@remixicon/react'
 import Run from '@/app/components/workflow/run'
 
-type ILogDetail = {
+interface ILogDetail {
   runID: string
   onClose: () => void
 }
diff --git a/web/app/components/app/workflow-log/filter.tsx b/web/app/components/app/workflow-log/filter.tsx
index 466e9b8fda..d25f938719 100644
--- a/web/app/components/app/workflow-log/filter.tsx
+++ b/web/app/components/app/workflow-log/filter.tsx
@@ -6,7 +6,7 @@ import type { QueryParam } from './index'
 import Chip from '@/app/components/base/chip'
 import Input from '@/app/components/base/input'
 
-type IFilterProps = {
+interface IFilterProps {
   queryParams: QueryParam
   setQueryParams: (v: QueryParam) => void
 }
diff --git a/web/app/components/base/action-button/index.css b/web/app/components/base/action-button/index.css
index 96fbb14c6c..13f333b11d 100644
--- a/web/app/components/base/action-button/index.css
+++ b/web/app/components/base/action-button/index.css
@@ -2,9 +2,7 @@
 
 @layer components {
     .action-btn {
-        @apply inline-flex justify-center items-center cursor-pointer text-text-tertiary
-        hover:text-text-secondary 
-        hover:bg-state-base-hover 
+        @apply inline-flex justify-center items-center cursor-pointer text-text-tertiary hover:text-text-secondary hover:bg-state-base-hover
     }
 
     .action-btn-disabled {
@@ -29,21 +27,15 @@
     }
 
     .action-btn.action-btn-active {
-        @apply 
-        text-text-accent 
-        bg-state-accent-active
-        hover:bg-state-accent-active-alt
+        @apply text-text-accent bg-state-accent-active hover:bg-state-accent-active-alt
     }
 
     .action-btn.action-btn-disabled {
-        @apply
-        text-text-disabled
+        @apply text-text-disabled
     }
 
     .action-btn.action-btn-destructive {
-        @apply
-        text-text-destructive
-        bg-state-destructive-hover
+        @apply text-text-destructive bg-state-destructive-hover
     }
 
 }
\ No newline at end of file
diff --git a/web/app/components/base/action-button/index.tsx b/web/app/components/base/action-button/index.tsx
index 9e4552a2b7..845edfbd6d 100644
--- a/web/app/components/base/action-button/index.tsx
+++ b/web/app/components/base/action-button/index.tsx
@@ -28,7 +28,7 @@ const actionButtonVariants = cva(
 )
 
 export type ActionButtonProps = {
-  size?: 'xs' | 'm' | 'l' | 'xl'
+  size?: 'xs' | 's' | 'm' | 'l' | 'xl'
   state?: ActionButtonState
   styleCss?: CSSProperties
 } & React.ButtonHTMLAttributes<HTMLButtonElement> & VariantProps<typeof actionButtonVariants>
diff --git a/web/app/components/base/agent-log-modal/detail.tsx b/web/app/components/base/agent-log-modal/detail.tsx
index e90f593ad0..62bdb4b172 100644
--- a/web/app/components/base/agent-log-modal/detail.tsx
+++ b/web/app/components/base/agent-log-modal/detail.tsx
@@ -81,26 +81,26 @@ const AgentLogDetail: FC<AgentLogDetailProps> = ({
   return (
     <div className='grow relative flex flex-col'>
       {/* tab */}
-      <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'>
+      <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-divider-regular'>
         <div
           className={cn(
-            'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-            currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700',
+            'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-text-tertiary cursor-pointer',
+            currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-text-secondary',
           )}
           onClick={() => switchTab('DETAIL')}
         >{t('runLog.detail')}</div>
         <div
           className={cn(
-            'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-            currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700',
+            'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-text-tertiary cursor-pointer',
+            currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-text-secondary',
           )}
           onClick={() => switchTab('TRACING')}
         >{t('runLog.tracing')}</div>
       </div>
       {/* panel detail */}
-      <div className={cn('grow bg-white h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-gray-50')}>
+      <div className={cn('grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-background-section')}>
         {loading && (
-          <div className='flex h-full items-center justify-center bg-white'>
+          <div className='flex h-full items-center justify-center bg-components-panel-bg'>
             <Loading />
           </div>
         )}
diff --git a/web/app/components/base/agent-log-modal/index.tsx b/web/app/components/base/agent-log-modal/index.tsx
index bbe1167f57..3e62a7f121 100644
--- a/web/app/components/base/agent-log-modal/index.tsx
+++ b/web/app/components/base/agent-log-modal/index.tsx
@@ -35,7 +35,7 @@ const AgentLogModal: FC<AgentLogModalProps> = ({
 
   return (
     <div
-      className={cn('relative flex flex-col py-3 bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl z-10')}
+      className={cn('relative flex flex-col py-3 bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl z-10')}
       style={{
         width: 480,
         position: 'fixed',
@@ -45,9 +45,9 @@ const AgentLogModal: FC<AgentLogModalProps> = ({
       }}
       ref={ref}
     >
-      <h1 className='shrink-0 px-4 py-1 text-md font-semibold text-gray-900'>{t('appLog.runDetail.workflowTitle')}</h1>
+      <h1 className='shrink-0 px-4 py-1 text-md font-semibold text-text-primary'>{t('appLog.runDetail.workflowTitle')}</h1>
       <span className='absolute right-3 top-4 p-1 cursor-pointer z-20' onClick={onCancel}>
-        <RiCloseLine className='w-4 h-4 text-gray-500' />
+        <RiCloseLine className='w-4 h-4 text-text-tertiary' />
       </span>
       <AgentLogDetail
         conversationID={currentLogItem.conversationId}
diff --git a/web/app/components/base/agent-log-modal/iteration.tsx b/web/app/components/base/agent-log-modal/iteration.tsx
index 2bb04d1f87..b2647ad21a 100644
--- a/web/app/components/base/agent-log-modal/iteration.tsx
+++ b/web/app/components/base/agent-log-modal/iteration.tsx
@@ -2,8 +2,9 @@
 import { useTranslation } from 'react-i18next'
 import type { FC } from 'react'
 import ToolCall from './tool-call'
-import cn from '@/utils/classnames'
+import Divider from '@/app/components/base/divider'
 import type { AgentIteration } from '@/models/log'
+import cn from '@/utils/classnames'
 
 type Props = {
   isFinal: boolean
@@ -18,12 +19,12 @@ const Iteration: FC<Props> = ({ iterationInfo, isFinal, index }) => {
     <div className={cn('px-4 py-2')}>
       <div className='flex items-center'>
         {isFinal && (
-          <div className='shrink-0 mr-3 text-gray-500 text-xs leading-[18px] font-semibold'>{t('appLog.agentLogDetail.finalProcessing')}</div>
+          <div className='shrink-0 mr-3 text-text-tertiary text-xs leading-[18px] font-semibold'>{t('appLog.agentLogDetail.finalProcessing')}</div>
         )}
         {!isFinal && (
-          <div className='shrink-0 mr-3 text-gray-500 text-xs leading-[18px] font-semibold'>{`${t('appLog.agentLogDetail.iteration').toUpperCase()} ${index}`}</div>
+          <div className='shrink-0 mr-3 text-text-tertiary text-xs leading-[18px] font-semibold'>{`${t('appLog.agentLogDetail.iteration').toUpperCase()} ${index}`}</div>
         )}
-        <div className='grow h-[1px] bg-gradient-to-r from-[#f3f4f6] to-gray-50'></div>
+        <Divider bgStyle='gradient' className='grow h-[1px] mx-0'/>
       </div>
       <ToolCall
         isLLM
diff --git a/web/app/components/base/agent-log-modal/result.tsx b/web/app/components/base/agent-log-modal/result.tsx
index 7cba63ba95..45953cee6c 100644
--- a/web/app/components/base/agent-log-modal/result.tsx
+++ b/web/app/components/base/agent-log-modal/result.tsx
@@ -36,7 +36,7 @@ const ResultPanel: FC<ResultPanelProps> = ({
   const { formatTime } = useTimestamp()
 
   return (
-    <div className='bg-white py-2'>
+    <div className='bg-components-panel-bg py-2'>
       <div className='px-4 py-2'>
         <StatusPanel
           status='succeeded'
@@ -62,57 +62,57 @@ const ResultPanel: FC<ResultPanelProps> = ({
         />
       </div>
       <div className='px-4 py-2'>
-        <div className='h-[0.5px] bg-black opacity-5' />
+        <div className='h-[0.5px] bg-divider-regular opacity-5' />
       </div>
       <div className='px-4 py-2'>
         <div className='relative'>
-          <div className='h-6 leading-6 text-gray-500 text-xs font-medium'>{t('runLog.meta.title')}</div>
+          <div className='h-6 leading-6 text-text-tertiary text-xs font-medium'>{t('runLog.meta.title')}</div>
           <div className='py-1'>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.status')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.status')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>SUCCESS</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.executor')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.executor')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{created_by || 'N/A'}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.startTime')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.startTime')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{formatTime(Date.parse(created_at) / 1000, t('appLog.dateTimeFormat') as string)}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.time')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.time')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{`${elapsed_time?.toFixed(3)}s`}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.tokens')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.tokens')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{`${total_tokens || 0} Tokens`}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.agentMode')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.agentMode')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{agentMode === 'function_call' ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.toolUsed')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.toolUsed')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{tools?.length ? tools?.join(', ') : 'Null'}</span>
               </div>
             </div>
             <div className='flex'>
-              <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.iterations')}</div>
-              <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'>
+              <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.iterations')}</div>
+              <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'>
                 <span>{iterations}</span>
               </div>
             </div>
diff --git a/web/app/components/base/agent-log-modal/tool-call.tsx b/web/app/components/base/agent-log-modal/tool-call.tsx
index 8d8e583126..d77a3f60b9 100644
--- a/web/app/components/base/agent-log-modal/tool-call.tsx
+++ b/web/app/components/base/agent-log-modal/tool-call.tsx
@@ -33,7 +33,7 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs
     if (time < 1)
       return `${(time * 1000).toFixed(3)} ms`
     if (time > 60)
-      return `${parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s`
+      return `${Number.parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s`
     return `${time.toFixed(3)} s`
   }
 
@@ -41,14 +41,14 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs
     if (tokens < 1000)
       return tokens
     if (tokens >= 1000 && tokens < 1000000)
-      return `${parseFloat((tokens / 1000).toFixed(3))}K`
+      return `${Number.parseFloat((tokens / 1000).toFixed(3))}K`
     if (tokens >= 1000000)
-      return `${parseFloat((tokens / 1000000).toFixed(3))}M`
+      return `${Number.parseFloat((tokens / 1000000).toFixed(3))}M`
   }
 
   return (
     <div className={cn('py-1')}>
-      <div className={cn('group transition-all bg-white border border-gray-100 rounded-2xl shadow-xs hover:shadow-md')}>
+      <div className={cn('group transition-all bg-background-default border border-components-panel-border rounded-2xl shadow-xs hover:shadow-md')}>
         <div
           className={cn(
             'flex items-center py-3 pl-[6px] pr-3 cursor-pointer',
@@ -58,15 +58,15 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs
         >
           <ChevronRight
             className={cn(
-              'shrink-0 w-3 h-3 mr-1 text-gray-400 transition-all group-hover:text-gray-500',
+              'shrink-0 w-3 h-3 mr-1 text-text-quaternary transition-all group-hover:text-text-tertiary',
               !collapseState && 'rotate-90',
             )}
           />
           <BlockIcon className={cn('shrink-0 mr-2')} type={isLLM ? BlockEnum.LLM : BlockEnum.Tool} toolIcon={toolCall.tool_icon} />
           <div className={cn(
-            'grow text-gray-700 text-[13px] leading-[16px] font-semibold truncate',
+            'grow text-text-secondary text-[13px] leading-[16px] font-semibold truncate',
           )} title={toolName}>{toolName}</div>
-          <div className='shrink-0 text-gray-500 text-xs leading-[18px]'>
+          <div className='shrink-0 text-text-tertiary text-xs leading-[18px]'>
             {toolCall.time_cost && (
               <span>{getTime(toolCall.time_cost || 0)}</span>
             )}
diff --git a/web/app/components/base/agent-log-modal/tracing.tsx b/web/app/components/base/agent-log-modal/tracing.tsx
index 59cffa0055..c390d256e1 100644
--- a/web/app/components/base/agent-log-modal/tracing.tsx
+++ b/web/app/components/base/agent-log-modal/tracing.tsx
@@ -9,7 +9,7 @@ type TracingPanelProps = {
 
 const TracingPanel: FC<TracingPanelProps> = ({ list }) => {
   return (
-    <div className='bg-gray-50'>
+    <div className='bg-background-section'>
       {list.map((iteration, index) => (
         <Iteration
           key={index}
diff --git a/web/app/components/base/app-icon/style.module.css b/web/app/components/base/app-icon/style.module.css
new file mode 100644
index 0000000000..151bc6d3fc
--- /dev/null
+++ b/web/app/components/base/app-icon/style.module.css
@@ -0,0 +1,23 @@
+.appIcon {
+  @apply flex items-center justify-center relative w-9 h-9 text-lg rounded-lg grow-0 shrink-0;
+}
+
+.appIcon.large {
+  @apply w-10 h-10;
+}
+
+.appIcon.small {
+  @apply w-8 h-8;
+}
+
+.appIcon.tiny {
+  @apply w-6 h-6 text-base;
+}
+
+.appIcon.xs {
+  @apply w-5 h-5 text-base;
+}
+
+.appIcon.rounded {
+  @apply rounded-full;
+}
\ No newline at end of file
diff --git a/web/app/components/base/audio-btn/audio.player.manager.ts b/web/app/components/base/audio-btn/audio.player.manager.ts
index 17d92f8dc2..9b3349754f 100644
--- a/web/app/components/base/audio-btn/audio.player.manager.ts
+++ b/web/app/components/base/audio-btn/audio.player.manager.ts
@@ -1,6 +1,6 @@
 import AudioPlayer from '@/app/components/base/audio-btn/audio'
 declare global {
-  // eslint-disable-next-line @typescript-eslint/consistent-type-definitions
+  // eslint-disable-next-line ts/consistent-type-definitions
   interface AudioPlayerManager {
     instance: AudioPlayerManager
   }
@@ -12,6 +12,7 @@ export class AudioPlayerManager {
   private audioPlayers: AudioPlayer | null = null
   private msgId: string | undefined
 
+  // eslint-disable-next-line
   private constructor() {
   }
 
diff --git a/web/app/components/base/audio-btn/audio.ts b/web/app/components/base/audio-btn/audio.ts
index baf675d0be..d7fae02f82 100644
--- a/web/app/components/base/audio-btn/audio.ts
+++ b/web/app/components/base/audio-btn/audio.ts
@@ -2,7 +2,7 @@ import Toast from '@/app/components/base/toast'
 import { textToAudioStream } from '@/service/share'
 
 declare global {
-  // eslint-disable-next-line @typescript-eslint/consistent-type-definitions
+  // eslint-disable-next-line ts/consistent-type-definitions
   interface Window {
     ManagedMediaSource: any
   }
diff --git a/web/app/components/base/audio-btn/index.tsx b/web/app/components/base/audio-btn/index.tsx
index 593411ed4d..40a7b96666 100644
--- a/web/app/components/base/audio-btn/index.tsx
+++ b/web/app/components/base/audio-btn/index.tsx
@@ -7,7 +7,7 @@ import Tooltip from '@/app/components/base/tooltip'
 import Loading from '@/app/components/base/loading'
 import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
 
-type AudioBtnProps = {
+interface AudioBtnProps {
   id?: string
   voice?: string
   value?: string
diff --git a/web/app/components/base/audio-gallery/AudioPlayer.module.css b/web/app/components/base/audio-gallery/AudioPlayer.module.css
index 6c070e107c..c5dd277fd6 100644
--- a/web/app/components/base/audio-gallery/AudioPlayer.module.css
+++ b/web/app/components/base/audio-gallery/AudioPlayer.module.css
@@ -2,15 +2,15 @@
   display: flex;
   flex-direction: row;
   align-items: center;
-  background-color: #ffffff;
+  background-color: var(--color-components-chat-input-audio-bg-alt);
   border-radius: 10px;
   padding: 8px;
   min-width: 240px;
   max-width: 420px;
   max-height: 40px;
   backdrop-filter: blur(5px);
-  border: 1px solid rgba(16, 24, 40, 0.08);
-  box-shadow: 0 1px 2px rgba(9, 9, 11, 0.05);
+  border: 1px solid var(--color-components-panel-border-subtle);
+  box-shadow: 0 1px 2px var(--color-shadow-shadow-3);
   gap: 8px;
 }
 
@@ -19,8 +19,8 @@
   width: 16px;
   height: 16px;
   border-radius: 50%;
-  background-color: #296DFF;
-  color: white;
+  background-color: var(--color-components-button-primary-bg);
+  color: var(--color-components-chat-input-audio-bg-alt);
   border: none;
   cursor: pointer;
   align-items: center;
@@ -30,16 +30,15 @@
 }
 
 .playButton:hover {
-  background-color: #3367d6;
+  background-color: var(--color-components-button-primary-bg-hover);
 }
 
 .playButton:disabled {
-  background-color: #bdbdbf;
+  background-color: var(--color-components-button-primary-bg-disabled);
 }
 
 .audioControls {
   flex-grow: 1;
-  
 }
 
 .progressBarContainer {
@@ -76,8 +75,8 @@
 
 .timeDisplay {
   /* position: absolute; */
-  color: #296DFF;
-  border-radius: 2px;
+  color: var(--color-text-accent-secondary);
+  font-size: 12px;
   order: 0;
   height: 100%;
   width: 50px;
@@ -97,7 +96,6 @@
 } */
 
 .duration {
-  background-color: rgba(255, 255, 255, 0.8);
   padding: 2px 4px;
   border-radius: 10px;
 }
@@ -114,6 +112,6 @@
 }
 
 .playButton svg path,
-.playButton svg rect{
-   fill:currentColor;
-}
+.playButton svg rect {
+  fill: currentColor;
+}
\ No newline at end of file
diff --git a/web/app/components/base/audio-gallery/AudioPlayer.tsx b/web/app/components/base/audio-gallery/AudioPlayer.tsx
index c482981e8a..95d4c69c83 100644
--- a/web/app/components/base/audio-gallery/AudioPlayer.tsx
+++ b/web/app/components/base/audio-gallery/AudioPlayer.tsx
@@ -55,7 +55,7 @@ const AudioPlayer: React.FC<AudioPlayerProps> = ({ src }) => {
     audio.load()
 
     // Delayed generation of waveform data
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+    // eslint-disable-next-line ts/no-use-before-define
     const timer = setTimeout(() => generateWaveformData(src), 1000)
 
     return () => {
diff --git a/web/app/components/base/badge.tsx b/web/app/components/base/badge.tsx
index 787b005a8f..fe034ad2f4 100644
--- a/web/app/components/base/badge.tsx
+++ b/web/app/components/base/badge.tsx
@@ -1,11 +1,13 @@
+import type { ReactNode } from 'react'
 import { memo } from 'react'
 import cn from '@/utils/classnames'
 
 type BadgeProps = {
   className?: string
-  text?: string
-  children?: React.ReactNode
+  text?: ReactNode
+  children?: ReactNode
   uppercase?: boolean
+  hasRedCornerMark?: boolean
 }
 
 const Badge = ({
@@ -13,15 +15,20 @@ const Badge = ({
   text,
   children,
   uppercase = true,
+  hasRedCornerMark,
 }: BadgeProps) => {
   return (
     <div
       className={cn(
-        'inline-flex items-center px-[5px] h-5 rounded-[5px] border border-divider-deep leading-3 text-text-tertiary',
+        'relative inline-flex items-center px-[5px] h-5 rounded-[5px] border border-divider-deep leading-3 text-text-tertiary',
         uppercase ? 'system-2xs-medium-uppercase' : 'system-xs-medium',
         className,
       )}
     >
+      {hasRedCornerMark && (
+        <div className='absolute top-[-2px] right-[-2px] w-1.5 h-1.5 border border-components-badge-status-light-error-border-inner bg-components-badge-status-light-error-bg rounded-[2px] shadow-sm'>
+        </div>
+      )}
       {children || text}
     </div>
   )
diff --git a/web/app/components/base/badge/index.css b/web/app/components/base/badge/index.css
new file mode 100644
index 0000000000..99db573c9c
--- /dev/null
+++ b/web/app/components/base/badge/index.css
@@ -0,0 +1,28 @@
+@tailwind components;
+
+@layer components {
+    .badge {
+        @apply inline-flex justify-center items-center text-text-tertiary border border-divider-deep
+    }
+
+    .badge-l {
+        @apply rounded-md gap-1 min-w-6
+    }
+
+    /* m is for the regular button */
+    .badge-m {
+        @apply rounded-md gap-[3px] min-w-5
+    }
+
+    .badge-s {
+        @apply rounded-[5px] gap-0.5 min-w-[18px]
+    }
+
+    .badge.badge-warning {
+        @apply text-text-warning border border-text-warning
+    }
+
+    .badge.badge-accent {
+        @apply text-text-accent-secondary border border-text-accent-secondary
+    }
+}
\ No newline at end of file
diff --git a/web/app/components/base/badge/index.tsx b/web/app/components/base/badge/index.tsx
new file mode 100644
index 0000000000..88ba026e14
--- /dev/null
+++ b/web/app/components/base/badge/index.tsx
@@ -0,0 +1,81 @@
+import type { CSSProperties, ReactNode } from 'react'
+import React from 'react'
+import { type VariantProps, cva } from 'class-variance-authority'
+import classNames from '@/utils/classnames'
+import './index.css'
+
+enum BadgeState {
+  Warning = 'warning',
+  Accent = 'accent',
+  Default = '',
+}
+
+const BadgeVariants = cva(
+  'badge',
+  {
+    variants: {
+      size: {
+        s: 'badge-s',
+        m: 'badge-m',
+        l: 'badge-l',
+      },
+    },
+    defaultVariants: {
+      size: 'm',
+    },
+  },
+)
+
+type BadgeProps = {
+  size?: 's' | 'm' | 'l'
+  iconOnly?: boolean
+  uppercase?: boolean
+  state?: BadgeState
+  styleCss?: CSSProperties
+  children?: ReactNode
+} & React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof BadgeVariants>
+
+function getBadgeState(state: BadgeState) {
+  switch (state) {
+    case BadgeState.Warning:
+      return 'badge-warning'
+    case BadgeState.Accent:
+      return 'badge-accent'
+    default:
+      return ''
+  }
+}
+
+const Badge: React.FC<BadgeProps> = ({
+  className,
+  size,
+  state = BadgeState.Default,
+  iconOnly = false,
+  uppercase = false,
+  styleCss,
+  children,
+  ...props
+}) => {
+  return (
+    <div
+      className={classNames(
+        BadgeVariants({ size, className }),
+        getBadgeState(state),
+        size === 's'
+          ? (iconOnly ? 'p-[3px]' : 'px-[5px] py-[3px]')
+          : size === 'l'
+            ? (iconOnly ? 'p-1.5' : 'px-2 py-1')
+            : (iconOnly ? 'p-1' : 'px-[5px] py-[2px]'),
+        uppercase ? 'system-2xs-medium-uppercase' : 'system-2xs-medium',
+      )}
+      style={styleCss}
+      {...props}
+    >
+      {children}
+    </div>
+  )
+}
+Badge.displayName = 'Badge'
+
+export default Badge
+export { Badge, BadgeState, BadgeVariants }
diff --git a/web/app/components/base/button/add-button.tsx b/web/app/components/base/button/add-button.tsx
index ab0e247d5f..0b06a493ad 100644
--- a/web/app/components/base/button/add-button.tsx
+++ b/web/app/components/base/button/add-button.tsx
@@ -4,7 +4,7 @@ import React from 'react'
 import { RiAddLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   className?: string
   onClick: () => void
 }
diff --git a/web/app/components/base/chat/__tests__/utils.spec.ts b/web/app/components/base/chat/__tests__/utils.spec.ts
index 0bff8a77a1..990e59d5ee 100644
--- a/web/app/components/base/chat/__tests__/utils.spec.ts
+++ b/web/app/components/base/chat/__tests__/utils.spec.ts
@@ -263,7 +263,7 @@ describe('build chat item tree and get thread messages', () => {
     expect(tree7).toMatchSnapshot()
   })
 
-  const partialMessages2 = (partialMessages as ChatItemInTree[])
+  const partialMessages2 = partialMessages as ChatItemInTree[]
   const tree8 = buildChatItemTree(partialMessages2)
   it('should work with partial messages 2', () => {
     expect(tree8).toMatchSnapshot()
diff --git a/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx b/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx
index 9be0ff319b..2e6df72bfb 100644
--- a/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx
+++ b/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx
@@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next'
 import { memo } from 'react'
 import Textarea from '@/app/components/base/textarea'
 
-type InputProps = {
+interface InputProps {
   form: any
   value: string
   onChange: (variable: string, value: string) => void
diff --git a/web/app/components/base/chat/chat/answer/agent-content.tsx b/web/app/components/base/chat/chat/answer/agent-content.tsx
index 6f03c938f1..5e71cf6526 100644
--- a/web/app/components/base/chat/chat/answer/agent-content.tsx
+++ b/web/app/components/base/chat/chat/answer/agent-content.tsx
@@ -8,7 +8,7 @@ import Thought from '@/app/components/base/chat/chat/thought'
 import { FileList } from '@/app/components/base/file-uploader'
 import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils'
 
-type AgentContentProps = {
+interface AgentContentProps {
   item: ChatItem
   responding?: boolean
 }
diff --git a/web/app/components/base/chat/chat/answer/basic-content.tsx b/web/app/components/base/chat/chat/answer/basic-content.tsx
index 6c8a44cf52..943262cf0c 100644
--- a/web/app/components/base/chat/chat/answer/basic-content.tsx
+++ b/web/app/components/base/chat/chat/answer/basic-content.tsx
@@ -4,7 +4,7 @@ import type { ChatItem } from '../../types'
 import { Markdown } from '@/app/components/base/markdown'
 import cn from '@/utils/classnames'
 
-type BasicContentProps = {
+interface BasicContentProps {
   item: ChatItem
 }
 const BasicContent: FC<BasicContentProps> = ({
diff --git a/web/app/components/base/chat/chat/answer/operation.tsx b/web/app/components/base/chat/chat/answer/operation.tsx
index dcd3df6482..9886b755b5 100644
--- a/web/app/components/base/chat/chat/answer/operation.tsx
+++ b/web/app/components/base/chat/chat/answer/operation.tsx
@@ -21,7 +21,7 @@ import {
 import Tooltip from '@/app/components/base/tooltip'
 import Log from '@/app/components/base/chat/chat/log'
 
-type OperationProps = {
+interface OperationProps {
   item: ChatItem
   question: string
   index: number
diff --git a/web/app/components/base/chat/chat/answer/workflow-process.tsx b/web/app/components/base/chat/chat/answer/workflow-process.tsx
index 4dcac1aafc..270d168644 100644
--- a/web/app/components/base/chat/chat/answer/workflow-process.tsx
+++ b/web/app/components/base/chat/chat/answer/workflow-process.tsx
@@ -1,5 +1,4 @@
 import {
-  useCallback,
   useEffect,
   useMemo,
   useState,
@@ -15,7 +14,6 @@ import TracingPanel from '@/app/components/workflow/run/tracing-panel'
 import cn from '@/utils/classnames'
 import { CheckCircle } from '@/app/components/base/icons/src/vender/solid/general'
 import { WorkflowRunningStatus } from '@/app/components/workflow/types'
-import { useStore as useAppStore } from '@/app/components/app/store'
 
 type WorkflowProcessProps = {
   data: WorkflowProcess
@@ -27,7 +25,6 @@ type WorkflowProcessProps = {
 }
 const WorkflowProcessItem = ({
   data,
-  item,
   expand = false,
   hideInfo = false,
   hideProcessDetail = false,
@@ -56,22 +53,6 @@ const WorkflowProcessItem = ({
     setCollapse(!expand)
   }, [expand])
 
-  const setCurrentLogItem = useAppStore(s => s.setCurrentLogItem)
-  const setShowMessageLogModal = useAppStore(s => s.setShowMessageLogModal)
-  const setCurrentLogModalActiveTab = useAppStore(s => s.setCurrentLogModalActiveTab)
-
-  const showIterationDetail = useCallback(() => {
-    setCurrentLogItem(item)
-    setCurrentLogModalActiveTab('TRACING')
-    setShowMessageLogModal(true)
-  }, [item, setCurrentLogItem, setCurrentLogModalActiveTab, setShowMessageLogModal])
-
-  const showRetryDetail = useCallback(() => {
-    setCurrentLogItem(item)
-    setCurrentLogModalActiveTab('TRACING')
-    setShowMessageLogModal(true)
-  }, [item, setCurrentLogItem, setCurrentLogModalActiveTab, setShowMessageLogModal])
-
   return (
     <div
       className={cn(
@@ -112,8 +93,6 @@ const WorkflowProcessItem = ({
             {
               <TracingPanel
                 list={data.tracing}
-                onShowIterationDetail={showIterationDetail}
-                onShowRetryDetail={showRetryDetail}
                 hideNodeInfo={hideInfo}
                 hideNodeProcessDetail={hideProcessDetail}
               />
diff --git a/web/app/components/base/chat/chat/chat-input-area/index.tsx b/web/app/components/base/chat/chat/chat-input-area/index.tsx
index 0d341d1b83..0355de4c4a 100644
--- a/web/app/components/base/chat/chat/chat-input-area/index.tsx
+++ b/web/app/components/base/chat/chat/chat-input-area/index.tsx
@@ -173,7 +173,7 @@ const ChatInputArea = ({
               <Textarea
                 ref={textareaRef}
                 className={cn(
-                  'p-1 w-full leading-6 body-lg-regular text-text-tertiary outline-none',
+                  'p-1 w-full leading-6 body-lg-regular text-text-tertiary bg-transparent outline-none',
                 )}
                 placeholder={t('common.chat.inputPlaceholder') || ''}
                 autoFocus
diff --git a/web/app/components/base/chat/chat/index.tsx b/web/app/components/base/chat/chat/index.tsx
index e6de01252d..d728375763 100644
--- a/web/app/components/base/chat/chat/index.tsx
+++ b/web/app/components/base/chat/chat/index.tsx
@@ -251,11 +251,8 @@ const Chat: FC<ChatProps> = ({
           </div>
         </div>
         <div
-          className={`absolute bottom-0 ${(hasTryToAsk || !noChatInput || !noStopResponding) && chatFooterClassName}`}
+          className={`absolute bottom-0 bg-chat-input-mask ${(hasTryToAsk || !noChatInput || !noStopResponding) && chatFooterClassName}`}
           ref={chatFooterRef}
-          style={{
-            background: 'linear-gradient(0deg, #F9FAFB 40%, rgba(255, 255, 255, 0.00) 100%)',
-          }}
         >
           <div
             ref={chatFooterInnerRef}
diff --git a/web/app/components/base/chat/chat/question.tsx b/web/app/components/base/chat/chat/question.tsx
index 7052c1fb5e..3df5aa215c 100644
--- a/web/app/components/base/chat/chat/question.tsx
+++ b/web/app/components/base/chat/chat/question.tsx
@@ -12,7 +12,7 @@ import { User } from '@/app/components/base/icons/src/public/avatar'
 import { Markdown } from '@/app/components/base/markdown'
 import { FileList } from '@/app/components/base/file-uploader'
 
-type QuestionProps = {
+interface QuestionProps {
   item: ChatItem
   questionIcon?: ReactNode
   theme: Theme | null | undefined
diff --git a/web/app/components/base/chat/chat/thought/index.tsx b/web/app/components/base/chat/chat/thought/index.tsx
index 409f83dfaa..dbadd3465e 100644
--- a/web/app/components/base/chat/chat/thought/index.tsx
+++ b/web/app/components/base/chat/chat/thought/index.tsx
@@ -4,7 +4,7 @@ import React from 'react'
 import type { ThoughtItem, ToolInfoInThought } from '../type'
 import ToolDetail from '@/app/components/base/chat/chat/answer/tool-detail'
 
-export type IThoughtProps = {
+export interface IThoughtProps {
   thought: ThoughtItem
   isFinished: boolean
 }
diff --git a/web/app/components/base/chat/chat/type.ts b/web/app/components/base/chat/chat/type.ts
index 7f22ba05b7..bd61ae6e97 100644
--- a/web/app/components/base/chat/chat/type.ts
+++ b/web/app/components/base/chat/chat/type.ts
@@ -4,13 +4,13 @@ import type { FileEntity } from '@/app/components/base/file-uploader/types'
 import type { InputVarType } from '@/app/components/workflow/types'
 import type { FileResponse } from '@/types/workflow'
 
-export type MessageMore = {
+export interface MessageMore {
   time: string
   tokens: number
   latency: number | string
 }
 
-export type FeedbackType = {
+export interface FeedbackType {
   rating: MessageRating
   content?: string | null
 }
@@ -26,7 +26,7 @@ export type SubmitAnnotationFunc = (
 
 export type DisplayScene = 'web' | 'console'
 
-export type ToolInfoInThought = {
+export interface ToolInfoInThought {
   name: string
   label: string
   input: string
@@ -34,7 +34,7 @@ export type ToolInfoInThought = {
   isFinished: boolean
 }
 
-export type ThoughtItem = {
+export interface ThoughtItem {
   id: string
   tool: string // plugin or dataset. May has multi.
   thought: string
@@ -47,7 +47,7 @@ export type ThoughtItem = {
   message_files?: FileEntity[]
 }
 
-export type CitationItem = {
+export interface CitationItem {
   content: string
   data_source_type: string
   dataset_name: string
@@ -62,7 +62,7 @@ export type CitationItem = {
   word_count: number
 }
 
-export type IChatItem = {
+export interface IChatItem {
   id: string
   content: string
   citation?: CitationItem[]
@@ -104,7 +104,7 @@ export type IChatItem = {
   nextSibling?: string
 }
 
-export type Metadata = {
+export interface Metadata {
   retriever_resources?: CitationItem[]
   annotation_reply: {
     id: string
@@ -115,20 +115,20 @@ export type Metadata = {
   }
 }
 
-export type MessageEnd = {
+export interface MessageEnd {
   id: string
   metadata: Metadata
   files?: FileResponse[]
 }
 
-export type MessageReplace = {
+export interface MessageReplace {
   id: string
   task_id: string
   answer: string
   conversation_id: string
 }
 
-export type AnnotationReply = {
+export interface AnnotationReply {
   id: string
   task_id: string
   answer: string
@@ -137,7 +137,7 @@ export type AnnotationReply = {
   annotation_author_name: string
 }
 
-export type InputForm = {
+export interface InputForm {
   type: InputVarType
   label: string
   variable: any
diff --git a/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx
index 9be0ff319b..2e6df72bfb 100644
--- a/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx
+++ b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx
@@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next'
 import { memo } from 'react'
 import Textarea from '@/app/components/base/textarea'
 
-type InputProps = {
+interface InputProps {
   form: any
   value: string
   onChange: (variable: string, value: string) => void
diff --git a/web/app/components/base/chat/embedded-chatbot/context.tsx b/web/app/components/base/chat/embedded-chatbot/context.tsx
index f48247a691..546f9c7c70 100644
--- a/web/app/components/base/chat/embedded-chatbot/context.tsx
+++ b/web/app/components/base/chat/embedded-chatbot/context.tsx
@@ -15,7 +15,7 @@ import type {
   ConversationItem,
 } from '@/models/share'
 
-export type EmbeddedChatbotContextValue = {
+export interface EmbeddedChatbotContextValue {
   appInfoError?: any
   appInfoLoading?: boolean
   appMeta?: AppMeta
diff --git a/web/app/components/base/chat/types.ts b/web/app/components/base/chat/types.ts
index 851c82d8e4..95e52f084e 100644
--- a/web/app/components/base/chat/types.ts
+++ b/web/app/components/base/chat/types.ts
@@ -28,13 +28,13 @@ export type UserInputFormTextInput = {
 }
 
 export type UserInputFormSelect = {
-  'select': UserInputForm & {
+  select: UserInputForm & {
     options: string[]
   }
 }
 
 export type UserInputFormParagraph = {
-  'paragraph': UserInputForm
+  paragraph: UserInputForm
 }
 
 export type VisionConfig = VisionSettings
diff --git a/web/app/components/base/copy-btn/index.tsx b/web/app/components/base/copy-btn/index.tsx
index 2acb5d8e76..5159a96040 100644
--- a/web/app/components/base/copy-btn/index.tsx
+++ b/web/app/components/base/copy-btn/index.tsx
@@ -1,6 +1,7 @@
 'use client'
 import { useState } from 'react'
 import { t } from 'i18next'
+import { debounce } from 'lodash-es'
 import copy from 'copy-to-clipboard'
 import s from './style.module.css'
 import Tooltip from '@/app/components/base/tooltip'
@@ -18,24 +19,32 @@ const CopyBtn = ({
 }: ICopyBtnProps) => {
   const [isCopied, setIsCopied] = useState(false)
 
+  const onClickCopy = debounce(() => {
+    copy(value)
+    setIsCopied(true)
+  }, 100)
+
+  const onMouseLeave = debounce(() => {
+    setIsCopied(false)
+  }, 100)
+
   return (
     <div className={`${className}`}>
       <Tooltip
         popupContent={(isCopied ? t('appApi.copied') : t('appApi.copy'))}
+        asChild={false}
       >
         <div
-          className={'box-border p-0.5 flex items-center justify-center rounded-md bg-white cursor-pointer'}
+          onMouseLeave={onMouseLeave}
+          className={'box-border p-0.5 flex items-center justify-center rounded-md bg-components-button-secondary-bg cursor-pointer'}
           style={!isPlain
             ? {
               boxShadow: '0px 4px 8px -2px rgba(16, 24, 40, 0.1), 0px 2px 4px -2px rgba(16, 24, 40, 0.06)',
             }
             : {}}
-          onClick={() => {
-            copy(value)
-            setIsCopied(true)
-          }}
+          onClick={onClickCopy}
         >
-          <div className={`w-6 h-6 rounded-md hover:bg-gray-50  ${s.copyIcon} ${isCopied ? s.copied : ''}`}></div>
+          <div className={`w-6 h-6 rounded-md hover:bg-components-button-secondary-bg-hover  ${s.copyIcon} ${isCopied ? s.copied : ''}`}></div>
         </div>
       </Tooltip>
     </div>
diff --git a/web/app/components/base/copy-feedback/index.tsx b/web/app/components/base/copy-feedback/index.tsx
index ec6b6ddb31..910127eca9 100644
--- a/web/app/components/base/copy-feedback/index.tsx
+++ b/web/app/components/base/copy-feedback/index.tsx
@@ -1,10 +1,15 @@
 'use client'
 import React, { useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import {
+  RiClipboardFill,
+  RiClipboardLine,
+} from '@remixicon/react'
 import { debounce } from 'lodash-es'
 import copy from 'copy-to-clipboard'
 import copyStyle from './style.module.css'
 import Tooltip from '@/app/components/base/tooltip'
+import ActionButton from '@/app/components/base/action-button'
 
 type Props = {
   content: string
@@ -13,7 +18,7 @@ type Props = {
 
 const prefixEmbedded = 'appOverview.overview.appInfo.embedded'
 
-const CopyFeedback = ({ content, className }: Props) => {
+const CopyFeedback = ({ content }: Props) => {
   const { t } = useTranslation()
   const [isCopied, setIsCopied] = useState<boolean>(false)
 
@@ -34,19 +39,15 @@ const CopyFeedback = ({ content, className }: Props) => {
           : t(`${prefixEmbedded}.copy`)) || ''
       }
     >
-      <div
-        className={`w-8 h-8 cursor-pointer hover:bg-state-base-hover rounded-md ${
-          className ?? ''
-        }`}
-      >
+      <ActionButton>
         <div
           onClick={onClickCopy}
           onMouseLeave={onMouseLeave}
-          className={`w-full h-full ${copyStyle.copyIcon} ${
-            isCopied ? copyStyle.copied : ''
-          }`}
-        ></div>
-      </div>
+        >
+          {isCopied && <RiClipboardFill className='w-4 h-4' />}
+          {!isCopied && <RiClipboardLine className='w-4 h-4' />}
+        </div>
+      </ActionButton>
     </Tooltip>
   )
 }
@@ -75,15 +76,13 @@ export const CopyFeedbackNew = ({ content, className }: Pick<Props, 'className'
       }
     >
       <div
-        className={`w-8 h-8 cursor-pointer hover:bg-gray-100 rounded-lg ${
-          className ?? ''
+        className={`w-8 h-8 cursor-pointer hover:bg-components-button-ghost-bg-hover rounded-lg ${className ?? ''
         }`}
       >
         <div
           onClick={onClickCopy}
           onMouseLeave={onMouseLeave}
-          className={`w-full h-full ${copyStyle.copyIcon} ${
-            isCopied ? copyStyle.copied : ''
+          className={`w-full h-full ${copyStyle.copyIcon} ${isCopied ? copyStyle.copied : ''
           }`}
         ></div>
       </div>
diff --git a/web/app/components/base/drawer/index.tsx b/web/app/components/base/drawer/index.tsx
index c1057b9f1f..e34dc7697a 100644
--- a/web/app/components/base/drawer/index.tsx
+++ b/web/app/components/base/drawer/index.tsx
@@ -51,18 +51,18 @@ export default function Drawer({
         <Dialog.Overlay
           className={cn('z-40 fixed inset-0', mask && 'bg-black bg-opacity-30')}
         />
-        <div className={cn('relative z-50 flex flex-col justify-between bg-background-body w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl', panelClassname)}>
+        <div className={cn('relative z-50 flex flex-col justify-between bg-components-panel-bg w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl', panelClassname)}>
           <>
             {title && <Dialog.Title
               as="h3"
-              className="text-lg font-medium leading-6 text-gray-900"
+              className="text-lg font-medium leading-6 text-text-primary"
             >
               {title}
             </Dialog.Title>}
             {showClose && <Dialog.Title className="flex items-center mb-4" as="div">
-              <XMarkIcon className='w-4 h-4 text-gray-500' onClick={onClose} />
+              <XMarkIcon className='w-4 h-4 text-text-tertiary' onClick={onClose} />
             </Dialog.Title>}
-            {description && <Dialog.Description className='text-gray-500 text-xs font-normal mt-2'>{description}</Dialog.Description>}
+            {description && <Dialog.Description className='text-text-tertiary text-xs font-normal mt-2'>{description}</Dialog.Description>}
             {children}
           </>
           {footer || (footer === null
diff --git a/web/app/components/base/dropdown/index.tsx b/web/app/components/base/dropdown/index.tsx
index 9af2421669..eb2519bbde 100644
--- a/web/app/components/base/dropdown/index.tsx
+++ b/web/app/components/base/dropdown/index.tsx
@@ -48,16 +48,16 @@ const Dropdown: FC<DropdownProps> = ({
               <div
                 className={`
                   flex items-center justify-center w-6 h-6 cursor-pointer rounded-md
-                  ${open && 'bg-black/5'}
+                  ${open && 'bg-divider-regular'}
                 `}
               >
-                <RiMoreFill className='w-4 h-4 text-gray-500' />
+                <RiMoreFill className='w-4 h-4 text-text-tertiary' />
               </div>
             )
         }
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className={popupClassName}>
-        <div className='rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg text-sm text-gray-700'>
+        <div className='rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg text-sm text-text-secondary'>
           {
             !!items.length && (
               <div className='p-1'>
@@ -65,7 +65,7 @@ const Dropdown: FC<DropdownProps> = ({
                   items.map(item => (
                     <div
                       key={item.value}
-                      className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-gray-100'
+                      className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover'
                       onClick={() => handleSelect(item)}
                     >
                       {item.text}
@@ -77,7 +77,7 @@ const Dropdown: FC<DropdownProps> = ({
           }
           {
             (!!items.length && !!secondItems?.length) && (
-              <div className='h-[1px] bg-gray-100' />
+              <div className='h-[1px] bg-divider-regular' />
             )
           }
           {
@@ -87,7 +87,7 @@ const Dropdown: FC<DropdownProps> = ({
                   secondItems.map(item => (
                     <div
                       key={item.value}
-                      className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-gray-100'
+                      className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover'
                       onClick={() => handleSelect(item)}
                     >
                       {item.text}
diff --git a/web/app/components/base/emoji-picker/Inner.tsx b/web/app/components/base/emoji-picker/Inner.tsx
index 5db223e3f4..e3347d4c67 100644
--- a/web/app/components/base/emoji-picker/Inner.tsx
+++ b/web/app/components/base/emoji-picker/Inner.tsx
@@ -7,13 +7,15 @@ import { init } from 'emoji-mart'
 import {
   MagnifyingGlassIcon,
 } from '@heroicons/react/24/outline'
-import cn from '@/utils/classnames'
+import Input from '@/app/components/base/input'
 import Divider from '@/app/components/base/divider'
 import { searchEmoji } from '@/utils/emoji'
+import cn from '@/utils/classnames'
 
 declare global {
+  // eslint-disable-next-line ts/no-namespace
   namespace JSX {
-    // eslint-disable-next-line @typescript-eslint/consistent-type-definitions
+    // eslint-disable-next-line ts/consistent-type-definitions
     interface IntrinsicElements {
       'em-emoji': React.DetailedHTMLProps< React.HTMLAttributes<HTMLElement>, HTMLElement >
     }
@@ -71,12 +73,12 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
     <div className='flex flex-col items-center w-full px-3 pb-2'>
       <div className="relative w-full">
         <div className="absolute inset-y-0 left-0 flex items-center pl-3 pointer-events-none">
-          <MagnifyingGlassIcon className="w-5 h-5 text-gray-400" aria-hidden="true" />
+          <MagnifyingGlassIcon className="w-5 h-5 text-text-quaternary" aria-hidden="true" />
         </div>
-        <input
+        <Input
+          className="pl-10"
           type="search"
           id="search"
-          className='block w-full h-10 px-3 pl-10 text-sm font-normal bg-gray-100 rounded-lg'
           placeholder="Search emojis..."
           onChange={async (e: ChangeEvent<HTMLInputElement>) => {
             if (e.target.value === '') {
@@ -91,12 +93,12 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
         />
       </div>
     </div>
-    <Divider className='m-0 mb-3' />
+    <Divider className='my-3' />
 
     <div className="w-full max-h-[200px] overflow-x-hidden overflow-y-auto px-3">
       {isSearching && <>
         <div key={'category-search'} className='flex flex-col'>
-          <p className='font-medium uppercase text-xs text-[#101828] mb-1'>Search</p>
+          <p className='system-xs-medium-uppercase text-text-primary mb-1'>Search</p>
           <div className='w-full h-full grid grid-cols-8 gap-1'>
             {searchedEmojis.map((emoji: string, index: number) => {
               return <div
@@ -106,7 +108,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
                   setSelectedEmoji(emoji)
                 }}
               >
-                <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'>
+                <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-components-input-border-hover'>
                   <em-emoji id={emoji} />
                 </div>
               </div>
@@ -117,7 +119,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
 
       {categories.map((category, index: number) => {
         return <div key={`category-${index}`} className='flex flex-col'>
-          <p className='font-medium uppercase text-xs text-[#101828] mb-1'>{category.id}</p>
+          <p className='system-xs-medium-uppercase text-text-primary mb-1'>{category.id}</p>
           <div className='w-full h-full grid grid-cols-8 gap-1'>
             {category.emojis.map((emoji, index: number) => {
               return <div
@@ -127,7 +129,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
                   setSelectedEmoji(emoji)
                 }}
               >
-                <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'>
+                <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-components-input-border-hover'>
                   <em-emoji id={emoji} />
                 </div>
               </div>
@@ -140,7 +142,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
 
     {/* Color Select */}
     <div className={cn('p-3 pb-0', selectedEmoji === '' ? 'opacity-25' : '')}>
-      <p className='font-medium uppercase text-xs text-[#101828] mb-2'>Choose Style</p>
+      <p className='system-xs-medium-uppercase text-text-primary mb-2'>Choose Style</p>
       <div className='w-full h-full grid grid-cols-8 gap-1'>
         {backgroundColors.map((color) => {
           return <div
@@ -150,7 +152,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({
                 'cursor-pointer',
                 'hover:ring-1 ring-offset-1',
                 'inline-flex w-10 h-10 rounded-lg items-center justify-center',
-                color === selectedBackground ? 'ring-1 ring-gray-300' : '',
+                color === selectedBackground ? 'ring-1 ring-components-input-border-hover' : '',
               )}
             onClick={() => {
               setSelectedBackground(color)
diff --git a/web/app/components/base/emoji-picker/index.tsx b/web/app/components/base/emoji-picker/index.tsx
index 3add14879a..16b07eddaf 100644
--- a/web/app/components/base/emoji-picker/index.tsx
+++ b/web/app/components/base/emoji-picker/index.tsx
@@ -2,7 +2,6 @@
 import type { FC } from 'react'
 import React, { useCallback, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import s from './style.module.css'
 import EmojiPickerInner from './Inner'
 import cn from '@/utils/classnames'
 import Divider from '@/app/components/base/divider'
@@ -37,12 +36,12 @@ const EmojiPicker: FC<IEmojiPickerProps> = ({
       isShow
       closable={false}
       wrapperClassName={className}
-      className={cn(s.container, '!w-[362px] !p-0')}
+      className={cn('flex flex-col max-h-[552px] border-[0.5px] border-divider-subtle rounded-xl shadow-xl p-0')}
     >
       <EmojiPickerInner
         className="pt-3"
         onSelect={handleSelectEmoji} />
-      <Divider className='m-0' />
+      <Divider className='mb-0 mt-3' />
       <div className='w-full flex items-center justify-center p-3 gap-2'>
         <Button className='w-full' onClick={() => {
           onClose && onClose()
diff --git a/web/app/components/base/emoji-picker/style.module.css b/web/app/components/base/emoji-picker/style.module.css
deleted file mode 100644
index 5facb3560a..0000000000
--- a/web/app/components/base/emoji-picker/style.module.css
+++ /dev/null
@@ -1,12 +0,0 @@
-.container {
-    display: flex;
-    flex-direction: column;
-    align-items: flex-start;
-    width: 362px;
-    max-height: 552px;
-
-    border: 0.5px solid #EAECF0;
-    box-shadow: 0px 12px 16px -4px rgba(16, 24, 40, 0.08), 0px 4px 6px -2px rgba(16, 24, 40, 0.03);
-    border-radius: 12px;
-    background: #fff;
-}
diff --git a/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx b/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx
index 41ed043e93..a03886923e 100644
--- a/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx
+++ b/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx
@@ -6,12 +6,14 @@ import { ReactSortable } from 'react-sortablejs'
 import { RiAddLine, RiAsterisk, RiCloseLine, RiDeleteBinLine, RiDraggable } from '@remixicon/react'
 import Modal from '@/app/components/base/modal'
 import Button from '@/app/components/base/button'
+import Divider from '@/app/components/base/divider'
 import ConfirmAddVar from '@/app/components/app/configuration/config-prompt/confirm-add-var'
 import type { OpeningStatement } from '@/app/components/base/features/types'
 import { getInputKeys } from '@/app/components/base/block-input'
 import type { PromptVariable } from '@/models/debug'
 import type { InputVar } from '@/app/components/workflow/types'
 import { getNewVar } from '@/utils/var'
+import cn from '@/utils/classnames'
 
 type OpeningSettingModalProps = {
   data: OpeningStatement
@@ -86,16 +88,19 @@ const OpeningSettingModal = ({
     handleSave(true)
   }, [handleSave, hideConfirmAddVar, notIncludeKeys, onAutoAddPromptVariable])
 
+  const [focusID, setFocusID] = useState<number | null>(null)
+  const [deletingID, setDeletingID] = useState<number | null>(null)
+
   const renderQuestions = () => {
     return (
       <div>
         <div className='flex items-center py-2'>
-          <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-gray-500'>
+          <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-text-tertiary'>
             <div className='uppercase'>{t('appDebug.openingStatement.openingQuestion')}</div>
             <div>·</div>
             <div>{tempSuggestedQuestions.length}/{MAX_QUESTION_NUM}</div>
           </div>
-          <div className='ml-3 grow w-0 h-px bg-[#243, 244, 246]'></div>
+          <Divider bgStyle='gradient' className='ml-3 grow w-0 h-px'/>
         </div>
         <ReactSortable
           className="space-y-1"
@@ -112,8 +117,15 @@ const OpeningSettingModal = ({
         >
           {tempSuggestedQuestions.map((question, index) => {
             return (
-              <div className='group relative rounded-lg border border-gray-200 flex items-center pl-2.5 hover:border-gray-300 hover:bg-white' key={index}>
-                <RiDraggable className='handle w-4 h-4 cursor-grab' />
+              <div
+                className={cn(
+                  'group relative rounded-lg border border-components-panel-border-subtle bg-components-panel-on-panel-item-bg flex items-center pl-2.5 hover:bg-components-panel-on-panel-item-bg-hover',
+                  focusID === index && 'border-components-input-border-active hover:border-components-input-border-active bg-components-input-bg-active hover:bg-components-input-bg-active',
+                  deletingID === index && 'border-components-input-border-destructive hover:border-components-input-border-destructive bg-state-destructive-hover hover:bg-state-destructive-hover',
+                )}
+                key={index}
+              >
+                <RiDraggable className='handle w-4 h-4 text-text-quaternary cursor-grab' />
                 <input
                   type="input"
                   value={question || ''}
@@ -126,14 +138,18 @@ const OpeningSettingModal = ({
                       return item
                     }))
                   }}
-                  className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-gray-900 border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'}
+                  className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-text-secondary border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'}
+                  onFocus={() => setFocusID(index)}
+                  onBlur={() => setFocusID(null)}
                 />
 
                 <div
-                  className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer hover:bg-[#FEE4E2] hover:text-[#D92D20]'
+                  className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer text-text-tertiary hover:bg-state-destructive-hover hover:text-text-destructive'
                   onClick={() => {
                     setTempSuggestedQuestions(tempSuggestedQuestions.filter((_, i) => index !== i))
                   }}
+                  onMouseEnter={() => setDeletingID(index)}
+                  onMouseLeave={() => setDeletingID(null)}
                 >
                   <RiDeleteBinLine className='w-3.5 h-3.5' />
                 </div>
@@ -143,9 +159,9 @@ const OpeningSettingModal = ({
         {tempSuggestedQuestions.length < MAX_QUESTION_NUM && (
           <div
             onClick={() => { setTempSuggestedQuestions([...tempSuggestedQuestions, '']) }}
-            className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-gray-400  bg-gray-100 hover:bg-gray-200'>
+            className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-components-button-tertiary-text  bg-components-button-tertiary-bg hover:bg-components-button-tertiary-bg-hover'>
             <RiAddLine className='w-4 h-4' />
-            <div className='text-gray-500 text-[13px]'>{t('appDebug.variableConfig.addOption')}</div>
+            <div className='system-sm-medium text-[13px]'>{t('appDebug.variableConfig.addOption')}</div>
           </div>
         )}
       </div>
diff --git a/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx b/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx
index 067d00923a..f5cddcc9a0 100644
--- a/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx
+++ b/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx
@@ -30,14 +30,14 @@ const FormGeneration: FC<FormGenerationProps> = ({
             key={index}
             className='py-2'
           >
-            <div className='flex items-center h-9 text-sm font-medium text-gray-900'>
+            <div className='flex items-center h-9 text-sm font-medium text-text-primary'>
               {locale === 'zh-Hans' ? form.label['zh-Hans'] : form.label['en-US']}
             </div>
             {
               form.type === 'text-input' && (
                 <input
                   value={value?.[form.variable] || ''}
-                  className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none'
+                  className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none'
                   placeholder={form.placeholder}
                   onChange={e => handleFormChange(form.variable, e.target.value)}
                 />
diff --git a/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx b/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx
index 7cb8114959..a6e122fb2b 100644
--- a/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx
+++ b/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx
@@ -27,13 +27,13 @@ const ModerationContent: FC<ModerationContentProps> = ({
 
   return (
     <div className='py-2'>
-      <div className='rounded-lg bg-gray-50 border border-gray-200'>
+      <div className='rounded-lg bg-components-panel-bg border border-components-panel-border'>
         <div className='flex items-center justify-between px-3 h-10 rounded-lg'>
-          <div className='shrink-0 text-sm font-medium text-gray-900'>{title}</div>
+          <div className='shrink-0 text-sm font-medium text-text-primary'>{title}</div>
           <div className='grow flex items-center justify-end'>
             {
               info && (
-                <div className='mr-2 text-xs text-gray-500 truncate' title={info}>{info}</div>
+                <div className='mr-2 text-xs text-text-tertiary truncate' title={info}>{info}</div>
               )
             }
             <Switch
@@ -45,20 +45,20 @@ const ModerationContent: FC<ModerationContentProps> = ({
         </div>
         {
           config.enabled && showPreset && (
-            <div className='px-3 pt-1 pb-3 bg-white rounded-lg'>
-              <div className='flex items-center justify-between h-8 text-[13px] font-medium text-gray-700'>
+            <div className='px-3 pt-1 pb-3 bg-components-panel-bg rounded-lg'>
+              <div className='flex items-center justify-between h-8 text-[13px] font-medium text-text-secondary'>
                 {t('appDebug.feature.moderation.modal.content.preset')}
-                <span className='text-xs font-normal text-gray-500'>{t('appDebug.feature.moderation.modal.content.supportMarkdown')}</span>
+                <span className='text-xs font-normal text-text-tertiary'>{t('appDebug.feature.moderation.modal.content.supportMarkdown')}</span>
               </div>
-              <div className='relative px-3 py-2 h-20 rounded-lg bg-gray-100'>
+              <div className='relative px-3 py-2 h-20 rounded-lg bg-components-input-bg-normal'>
                 <textarea
                   value={config.preset_response || ''}
-                  className='block w-full h-full bg-transparent text-sm outline-none appearance-none resize-none'
+                  className='block w-full h-full bg-transparent text-sm text-text-secondary outline-none appearance-none resize-none'
                   placeholder={t('appDebug.feature.moderation.modal.content.placeholder') || ''}
                   onChange={e => handleConfigChange('preset_response', e.target.value)}
                 />
-                <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-gray-50 text-xs font-medium text-gray-300'>
-                  <span>{(config.preset_response || '').length}</span>/<span className='text-gray-500'>100</span>
+                <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-background-section text-xs font-medium text-text-quaternary'>
+                  <span>{(config.preset_response || '').length}</span>/<span className='text-text-tertiary'>100</span>
                 </div>
               </div>
             </div>
diff --git a/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx b/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx
index e9e1a79e6f..24501c32c1 100644
--- a/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx
+++ b/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx
@@ -9,6 +9,7 @@ import FormGeneration from './form-generation'
 import ApiBasedExtensionSelector from '@/app/components/header/account-setting/api-based-extension-page/selector'
 import Modal from '@/app/components/base/modal'
 import Button from '@/app/components/base/button'
+import Divider from '@/app/components/base/divider'
 import { BookOpen01 } from '@/app/components/base/icons/src/vender/line/education'
 import type { ModerationConfig, ModerationContentConfig } from '@/models/debug'
 import { useToastContext } from '@/app/components/base/toast'
@@ -22,6 +23,7 @@ import { LanguagesSupported } from '@/i18n/language'
 import { InfoCircle } from '@/app/components/base/icons/src/vender/line/general'
 import { useModalContext } from '@/context/modal-context'
 import { CustomConfigurationStatusEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import cn from '@/utils/classnames'
 
 const systemTypes = ['openai_moderation', 'keywords', 'api']
 
@@ -60,7 +62,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
     '/code-based-extension?module=moderation',
     fetchCodeBasedExtensionList,
   )
-  const openaiProvider = modelProviders?.data.find(item => item.provider === 'openai')
+  const openaiProvider = modelProviders?.data.find(item => item.provider === 'langgenius/openai/openai')
   const systemOpenaiProviderEnabled = openaiProvider?.system_configuration.enabled
   const systemOpenaiProviderQuota = systemOpenaiProviderEnabled ? openaiProvider?.system_configuration.quota_configurations.find(item => item.quota_type === openaiProvider.system_configuration.current_quota_type) : undefined
   const systemOpenaiProviderCanUse = systemOpenaiProviderQuota?.is_valid
@@ -245,7 +247,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
         <div className='p-1 cursor-pointer' onClick={onCancel}><RiCloseLine className='w-4 h-4 text-text-tertiary'/></div>
       </div>
       <div className='py-2'>
-        <div className='leading-9 text-sm font-medium text-gray-900'>
+        <div className='leading-9 text-sm font-medium text-text-primary'>
           {t('appDebug.feature.moderation.modal.provider.title')}
         </div>
         <div className='grid gap-2.5 grid-cols-3'>
@@ -253,16 +255,18 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
             providers.map(provider => (
               <div
                 key={provider.key}
-                className={`
-                  flex items-center px-3 py-2 rounded-lg text-sm text-gray-900 cursor-pointer
-                  ${localeData.type === provider.key ? 'bg-white border-[1.5px] border-primary-400 shadow-sm' : 'border border-gray-100 bg-gray-25'}
-                  ${localeData.type === 'openai_moderation' && provider.key === 'openai_moderation' && !isOpenAIProviderConfigured && 'opacity-50'}
-                `}
+                className={cn(
+                  'flex items-center px-2 h-8 rounded-md system-sm-regular bg-components-option-card-option-bg border border-components-option-card-option-border text-text-secondary cursor-default',
+                  localeData.type !== provider.key && 'hover:bg-components-option-card-option-bg-hover hover:border-components-option-card-option-border-hover hover:shadow-xs cursor-pointer',
+                  localeData.type === provider.key && 'bg-components-option-card-option-selected-bg border-[1.5px] border-components-option-card-option-selected-border system-sm-medium shadow-xs',
+                  localeData.type === 'openai_moderation' && provider.key === 'openai_moderation' && !isOpenAIProviderConfigured && 'text-text-disabled',
+                )}
                 onClick={() => handleDataTypeChange(provider.key)}
               >
-                <div className={`
-                  mr-2 w-4 h-4 rounded-full border
-                  ${localeData.type === provider.key ? 'border-[5px] border-primary-600' : 'border border-gray-300'}`} />
+                <div className={cn(
+                  'mr-2 w-4 h-4 border border-components-radio-border bg-components-radio-bg shadow-xs rounded-full',
+                  localeData.type === provider.key && 'border-[5px] border-components-radio-border-checked',
+                )}></div>
                 {provider.name}
               </div>
             ))
@@ -289,17 +293,17 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
       {
         localeData.type === 'keywords' && (
           <div className='py-2'>
-            <div className='mb-1 text-sm font-medium text-gray-900'>{t('appDebug.feature.moderation.modal.provider.keywords')}</div>
-            <div className='mb-2 text-xs text-gray-500'>{t('appDebug.feature.moderation.modal.keywords.tip')}</div>
-            <div className='relative px-3 py-2 h-[88px] bg-gray-100 rounded-lg'>
+            <div className='mb-1 text-sm font-medium text-text-primary'>{t('appDebug.feature.moderation.modal.provider.keywords')}</div>
+            <div className='mb-2 text-xs text-text-tertiary'>{t('appDebug.feature.moderation.modal.keywords.tip')}</div>
+            <div className='relative px-3 py-2 h-[88px] bg-components-input-bg-normal rounded-lg'>
               <textarea
                 value={localeData.config?.keywords || ''}
                 onChange={handleDataKeywordsChange}
-                className='block w-full h-full bg-transparent text-sm outline-none appearance-none resize-none'
+                className='block w-full h-full bg-transparent text-sm text-text-secondary outline-none appearance-none resize-none'
                 placeholder={t('appDebug.feature.moderation.modal.keywords.placeholder') || ''}
               />
-              <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-gray-50 text-xs font-medium text-gray-300'>
-                <span>{(localeData.config?.keywords || '').split('\n').filter(Boolean).length}</span>/<span className='text-gray-500'>100 {t('appDebug.feature.moderation.modal.keywords.line')}</span>
+              <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-background-section text-xs font-medium text-text-quaternary'>
+                <span>{(localeData.config?.keywords || '').split('\n').filter(Boolean).length}</span>/<span className='text-text-tertiary'>100 {t('appDebug.feature.moderation.modal.keywords.line')}</span>
               </div>
             </div>
           </div>
@@ -309,13 +313,13 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
         localeData.type === 'api' && (
           <div className='py-2'>
             <div className='flex items-center justify-between h-9'>
-              <div className='text-sm font-medium text-gray-900'>{t('common.apiBasedExtension.selector.title')}</div>
+              <div className='text-sm font-medium text-text-primary'>{t('common.apiBasedExtension.selector.title')}</div>
               <a
                 href={t('common.apiBasedExtension.linkUrl') || '/'}
                 target='_blank' rel='noopener noreferrer'
-                className='group flex items-center text-xs text-gray-500 hover:text-primary-600'
+                className='group flex items-center text-xs text-text-tertiary hover:text-primary-600'
               >
-                <BookOpen01 className='mr-1 w-3 h-3 text-gray-500 group-hover:text-primary-600' />
+                <BookOpen01 className='mr-1 w-3 h-3 text-text-tertiary group-hover:text-primary-600' />
                 {t('common.apiBasedExtension.link')}
               </a>
             </div>
@@ -337,7 +341,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
           />
         )
       }
-      <div className='my-3 h-[1px] bg-gradient-to-r from-[#F3F4F6]'></div>
+      <Divider bgStyle='gradient' className='my-3 h-px' />
       <ModerationContent
         title={t('appDebug.feature.moderation.modal.content.input') || ''}
         config={localeData.config?.inputs_config || { enabled: false, preset_response: '' }}
@@ -352,7 +356,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({
         info={(localeData.type === 'api' && t('appDebug.feature.moderation.modal.content.fromApi')) || ''}
         showPreset={!(localeData.type === 'api')}
       />
-      <div className='mt-1 mb-8 text-xs font-medium text-gray-500'>{t('appDebug.feature.moderation.modal.content.condition')}</div>
+      <div className='mt-1 mb-8 text-xs font-medium text-text-tertiary'>{t('appDebug.feature.moderation.modal.content.condition')}</div>
       <div className='flex items-center justify-end'>
         <Button
           onClick={onCancel}
diff --git a/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx b/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx
index 360ea8a72a..9c401a7fef 100644
--- a/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx
+++ b/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx
@@ -93,13 +93,13 @@ const VoiceParamConfig = ({
         >
           <div className='relative h-8'>
             <Listbox.Button
-              className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
-              <span className={classNames('block truncate text-left', !languageItem?.name && 'text-gray-400')}>
+              className={'w-full h-full rounded-lg border-0 bg-components-input-bg-normal py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover cursor-pointer'}>
+              <span className={classNames('block truncate text-left text-text-secondary', !languageItem?.name && 'text-text-tertiary')}>
                 {languageItem?.name ? t(`common.voice.language.${languageItem?.value.replace('-', '')}`) : localLanguagePlaceholder}
               </span>
               <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2">
                 <ChevronDownIcon
-                  className="h-5 w-5 text-gray-400"
+                  className="h-4 w-4 text-text-tertiary"
                   aria-hidden="true"
                 />
               </span>
@@ -112,12 +112,12 @@ const VoiceParamConfig = ({
             >
 
               <Listbox.Options
-                className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm">
                 {languages.map((item: Item) => (
                   <Listbox.Option
                     key={item.value}
                     className={({ active }) =>
-                      `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700 ${active ? 'bg-gray-100' : ''
+                      `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary ${active ? 'bg-state-base-active' : ''
                       }`
                     }
                     value={item}
@@ -130,10 +130,10 @@ const VoiceParamConfig = ({
                         {(selected || item.value === text2speech?.language) && (
                           <span
                             className={classNames(
-                              'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
+                              'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary',
                             )}
                           >
-                            <CheckIcon className="h-5 w-5" aria-hidden="true"/>
+                            <CheckIcon className="h-4 w-4" aria-hidden="true"/>
                           </span>
                         )}
                       </>
@@ -161,12 +161,12 @@ const VoiceParamConfig = ({
           >
             <div className={'grow relative h-8'}>
               <Listbox.Button
-                className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
+                className={'w-full h-full rounded-lg border-0 bg-components-input-bg-normal py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover cursor-pointer'}>
                 <span
-                  className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
+                  className={classNames('block truncate text-left text-text-secondary', !voiceItem?.name && 'text-text-tertiary')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
                 <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2">
                   <ChevronDownIcon
-                    className="h-5 w-5 text-gray-400"
+                    className="h-4 w-4 text-text-tertiary"
                     aria-hidden="true"
                   />
                 </span>
@@ -179,12 +179,12 @@ const VoiceParamConfig = ({
               >
 
                 <Listbox.Options
-                  className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                  className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm">
                   {voiceItems?.map((item: Item) => (
                     <Listbox.Option
                       key={item.value}
                       className={({ active }) =>
-                        `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700 ${active ? 'bg-gray-100' : ''
+                        `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary ${active ? 'bg-state-base-active' : ''
                         }`
                       }
                       value={item}
@@ -196,10 +196,10 @@ const VoiceParamConfig = ({
                           {(selected || item.value === text2speech?.voice) && (
                             <span
                               className={classNames(
-                                'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
+                                'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary',
                               )}
                             >
-                              <CheckIcon className="h-5 w-5" aria-hidden="true"/>
+                              <CheckIcon className="h-4 w-4" aria-hidden="true"/>
                             </span>
                           )}
                         </>
diff --git a/web/app/components/base/features/store.ts b/web/app/components/base/features/store.ts
index 2b8c3f7073..49ce0f4338 100644
--- a/web/app/components/base/features/store.ts
+++ b/web/app/components/base/features/store.ts
@@ -2,16 +2,16 @@ import { createStore } from 'zustand'
 import type { Features } from './types'
 import { Resolution, TransferMethod } from '@/types/app'
 
-export type FeaturesModal = {
+export interface FeaturesModal {
   showFeaturesModal: boolean
   setShowFeaturesModal: (showFeaturesModal: boolean) => void
 }
 
-export type FeaturesState = {
+export interface FeaturesState {
   features: Features
 }
 
-export type FeaturesAction = {
+export interface FeaturesAction {
   setFeatures: (features: Features) => void
 }
 
diff --git a/web/app/components/base/features/types.ts b/web/app/components/base/features/types.ts
index 83f876383d..c948e538d7 100644
--- a/web/app/components/base/features/types.ts
+++ b/web/app/components/base/features/types.ts
@@ -1,7 +1,7 @@
 import type { Resolution, TransferMethod, TtsAutoPlay } from '@/types/app'
 import type { FileUploadConfigResponse } from '@/models/common'
 
-export type EnabledOrDisabled = {
+export interface EnabledOrDisabled {
   enabled?: boolean
 }
 
@@ -42,7 +42,7 @@ export type FileUpload = {
   fileUploadConfig?: FileUploadConfigResponse
 } & EnabledOrDisabled
 
-export type AnnotationReplyConfig = {
+export interface AnnotationReplyConfig {
   enabled: boolean
   id?: string
   score_threshold?: number
@@ -64,7 +64,7 @@ export enum FeatureEnum {
   annotationReply = 'annotationReply',
 }
 
-export type Features = {
+export interface Features {
   [FeatureEnum.moreLikeThis]?: MoreLikeThis
   [FeatureEnum.opening]?: OpeningStatement
   [FeatureEnum.suggested]?: SuggestedQuestionsAfterAnswer
diff --git a/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx b/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx
index 1ff2bdd174..8ae8bb0538 100644
--- a/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx
+++ b/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx
@@ -59,7 +59,7 @@ const FileFromLinkOrLocal = ({
       <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)} asChild>
         {trigger(open)}
       </PortalToFollowElemTrigger>
-      <PortalToFollowElemContent className='z-10'>
+      <PortalToFollowElemContent className='z-[1001]'>
         <div className='p-3 w-[280px] bg-components-panel-bg-blur border-[0.5px] border-components-panel-border rounded-xl shadow-lg'>
           {
             showFromLink && (
diff --git a/web/app/components/base/grid-mask/index.tsx b/web/app/components/base/grid-mask/index.tsx
index 876eb7f1de..0bf6625a83 100644
--- a/web/app/components/base/grid-mask/index.tsx
+++ b/web/app/components/base/grid-mask/index.tsx
@@ -36,8 +36,8 @@ const GridMask: FC<GridMaskProps> = ({
   const drawRecord = useCallback(() => {
     const canvas = canvasRef.current!
     const ctx = ctxRef.current!
-    const rowNumber = parseInt(`${canvas.width / 24}`)
-    const colNumber = parseInt(`${canvas.height / 24}`)
+    const rowNumber = Number.parseInt(`${canvas.width / 24}`)
+    const colNumber = Number.parseInt(`${canvas.height / 24}`)
 
     ctx.clearRect(0, 0, canvas.width, canvas.height)
     ctx.beginPath()
@@ -82,9 +82,9 @@ const GridMask: FC<GridMaskProps> = ({
   }, [])
 
   return (
-    <div className={`relative bg-white ${wrapperClassName}`}>
+    <div className={`relative bg-components-panel-bg ${wrapperClassName}`}>
       <canvas ref={canvasRef} className={`absolute inset-0 w-full h-full ${canvasClassName}`} />
-      <div className={`absolute w-full h-full z-[1] bg-gradient-to-b from-white/80 to-white rounded-lg ${gradientClassName}`} />
+      <div className={`absolute w-full h-full z-[1] bg-gradient-to-b from-background-body to-background-gradient-mask-transparent rounded-lg ${gradientClassName}`} />
       <div className='relative z-[2]'>{children}</div>
     </div>
   )
diff --git a/web/app/components/base/icons/IconBase.tsx b/web/app/components/base/icons/IconBase.tsx
index 994cd98bcd..4de39e293c 100644
--- a/web/app/components/base/icons/IconBase.tsx
+++ b/web/app/components/base/icons/IconBase.tsx
@@ -28,4 +28,6 @@ const IconBase = forwardRef<React.MutableRefObject<HTMLOrSVGElement>, IconBasePr
   })
 })
 
+IconBase.displayName = 'IconBase'
+
 export default IconBase
diff --git a/web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg b/web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg
new file mode 100644
index 0000000000..57abb737e7
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg
@@ -0,0 +1,186 @@
+<svg width="90" height="10" viewBox="0 0 90 10" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="Anthropic" clip-path="url(#clip0_5981_49007)">
+<g id="Clip path group">
+<mask id="mask0_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_2">
+<path id="Vector" d="M89.375 -0.00195312H0V9.99805H89.375V-0.00195312Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask0_5981_49007)">
+<g id="Group">
+<g id="Clip path group_2">
+<mask id="mask1_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_4">
+<path id="Vector_2" d="M0 -0.00390625H89.375V9.99609H0V-0.00390625Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask1_5981_49007)">
+<g id="Group_2">
+<g id="Clip path group_3">
+<mask id="mask2_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_12">
+<path id="Vector_3" d="M0 -0.00585938H89.375V9.99414H0V-0.00585938Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask2_5981_49007)">
+<g id="Group_3">
+<g id="Clip path group_4">
+<mask id="mask3_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_89">
+<path id="Vector_4" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask3_5981_49007)">
+<g id="Group_4">
+<g id="Group_5">
+<g id="Group_6">
+<path id="Vector_5" d="M18.1273 6.92438L13.7773 0.15625H11.4297V9.82501H13.4321V3.05688L17.7821 9.82501H20.1297V0.15625H18.1273V6.92438Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_5">
+<mask id="mask4_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_80">
+<path id="Vector_6" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask4_5981_49007)">
+<g id="Group_7">
+<g id="Group_8">
+<g id="Group_9">
+<path id="Vector_7" d="M21.7969 2.02094H25.0423V9.82501H27.1139V2.02094H30.3594V0.15625H21.7969V2.02094Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_6">
+<mask id="mask5_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_71">
+<path id="Vector_8" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask5_5981_49007)">
+<g id="Group_10">
+<g id="Group_11">
+<g id="Group_12">
+<path id="Vector_9" d="M38.6442 4.00994H34.0871V0.15625H32.0156V9.82501H34.0871V5.87463H38.6442V9.82501H40.7156V0.15625H38.6442V4.00994Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_7">
+<mask id="mask6_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_62">
+<path id="Vector_10" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask6_5981_49007)">
+<g id="Group_13">
+<g id="Group_14">
+<g id="Group_15">
+<path id="Vector_11" d="M45.3376 2.02094H47.893C48.9152 2.02094 49.4539 2.39387 49.4539 3.09831C49.4539 3.80275 48.9152 4.17569 47.893 4.17569H45.3376V2.02094ZM51.5259 3.09831C51.5259 1.27506 50.186 0.15625 47.9897 0.15625H43.2656V9.82501H45.3376V6.04037H47.6443L49.7164 9.82501H52.0094L49.715 5.75211C50.8666 5.30941 51.5259 4.37721 51.5259 3.09831Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_8">
+<mask id="mask7_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_53">
+<path id="Vector_12" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask7_5981_49007)">
+<g id="Group_16">
+<g id="Group_17">
+<g id="Group_18">
+<path id="Vector_13" d="M57.8732 8.05653C56.2438 8.05653 55.2496 6.89631 55.2496 5.00404C55.2496 3.08416 56.2438 1.92394 57.8732 1.92394C59.4887 1.92394 60.4691 3.08416 60.4691 5.00404C60.4691 6.89631 59.4887 8.05653 57.8732 8.05653ZM57.8732 -0.00976562C55.0839 -0.00976562 53.1094 2.06206 53.1094 5.00404C53.1094 7.91841 55.0839 9.99023 57.8732 9.99023C60.6486 9.99023 62.6094 7.91841 62.6094 5.00404C62.6094 2.06206 60.6486 -0.00976562 57.8732 -0.00976562Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_9">
+<mask id="mask8_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_44">
+<path id="Vector_14" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask8_5981_49007)">
+<g id="Group_19">
+<g id="Group_20">
+<g id="Group_21">
+<path id="Vector_15" d="M69.1794 4.45194H66.6233V2.02094H69.1794C70.2019 2.02094 70.7407 2.43532 70.7407 3.23644C70.7407 4.03756 70.2019 4.45194 69.1794 4.45194ZM69.2762 0.15625H64.5508V9.82501H66.6233V6.31662H69.2762C71.473 6.31662 72.8133 5.15637 72.8133 3.23644C72.8133 1.3165 71.473 0.15625 69.2762 0.15625Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_10">
+<mask id="mask9_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_35">
+<path id="Vector_16" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask9_5981_49007)">
+<g id="Group_22">
+<g id="Group_23">
+<g id="Group_24">
+<path id="Vector_17" d="M86.8413 6.57863C86.4823 7.51786 85.7642 8.05653 84.7837 8.05653C83.1542 8.05653 82.16 6.89631 82.16 5.00404C82.16 3.08416 83.1542 1.92394 84.7837 1.92394C85.7642 1.92394 86.4823 2.46261 86.8413 3.40183H89.0369C88.4984 1.33002 86.8827 -0.00976562 84.7837 -0.00976562C81.9942 -0.00976562 80.0195 2.06206 80.0195 5.00404C80.0195 7.91841 81.9942 9.99023 84.7837 9.99023C86.8965 9.99023 88.5122 8.63664 89.0508 6.57863H86.8413Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_11">
+<mask id="mask10_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_26">
+<path id="Vector_18" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask10_5981_49007)">
+<g id="Group_25">
+<g id="Group_26">
+<g id="Group_27">
+<path id="Vector_19" d="M73.6484 0.15625L77.5033 9.82501H79.6172L75.7624 0.15625H73.6484Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_12">
+<mask id="mask11_5981_49007" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_17">
+<path id="Vector_20" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask11_5981_49007)">
+<g id="Group_28">
+<g id="Group_29">
+<g id="Group_30">
+<path id="Vector_21" d="M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z" fill="black" fill-opacity="0.95"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+<defs>
+<clipPath id="clip0_5981_49007">
+<rect width="89.375" height="10" fill="white"/>
+</clipPath>
+</defs>
+</svg>
diff --git a/web/app/components/base/icons/assets/public/llm/Anthropic-light.svg b/web/app/components/base/icons/assets/public/llm/Anthropic-light.svg
new file mode 100644
index 0000000000..3e587ccc9e
--- /dev/null
+++ b/web/app/components/base/icons/assets/public/llm/Anthropic-light.svg
@@ -0,0 +1,186 @@
+<svg width="90" height="10" viewBox="0 0 90 10" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="Anthropic" clip-path="url(#clip0_5981_52010)">
+<g id="Clip path group">
+<mask id="mask0_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_2">
+<path id="Vector" d="M89.375 -0.00195312H0V9.99805H89.375V-0.00195312Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask0_5981_52010)">
+<g id="Group">
+<g id="Clip path group_2">
+<mask id="mask1_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_4">
+<path id="Vector_2" d="M0 -0.00390625H89.375V9.99609H0V-0.00390625Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask1_5981_52010)">
+<g id="Group_2">
+<g id="Clip path group_3">
+<mask id="mask2_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_12">
+<path id="Vector_3" d="M0 -0.00585938H89.375V9.99414H0V-0.00585938Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask2_5981_52010)">
+<g id="Group_3">
+<g id="Clip path group_4">
+<mask id="mask3_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_89">
+<path id="Vector_4" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask3_5981_52010)">
+<g id="Group_4">
+<g id="Group_5">
+<g id="Group_6">
+<path id="Vector_5" d="M18.1273 6.92438L13.7773 0.15625H11.4297V9.82501H13.4321V3.05688L17.7821 9.82501H20.1297V0.15625H18.1273V6.92438Z" fill="white" fill-opacity="0.8"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_5">
+<mask id="mask4_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_80">
+<path id="Vector_6" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask4_5981_52010)">
+<g id="Group_7">
+<g id="Group_8">
+<g id="Group_9">
+<path id="Vector_7" d="M21.7969 2.02094H25.0423V9.82501H27.1139V2.02094H30.3594V0.15625H21.7969V2.02094Z" fill="white" fill-opacity="0.8"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_6">
+<mask id="mask5_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_71">
+<path id="Vector_8" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask5_5981_52010)">
+<g id="Group_10">
+<g id="Group_11">
+<g id="Group_12">
+<path id="Vector_9" d="M38.6442 4.00994H34.0871V0.15625H32.0156V9.82501H34.0871V5.87463H38.6442V9.82501H40.7156V0.15625H38.6442V4.00994Z" fill="white" fill-opacity="0.8"/>
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+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_7">
+<mask id="mask6_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_62">
+<path id="Vector_10" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask6_5981_52010)">
+<g id="Group_13">
+<g id="Group_14">
+<g id="Group_15">
+<path id="Vector_11" d="M45.3376 2.02094H47.893C48.9152 2.02094 49.4539 2.39387 49.4539 3.09831C49.4539 3.80275 48.9152 4.17569 47.893 4.17569H45.3376V2.02094ZM51.5259 3.09831C51.5259 1.27506 50.186 0.15625 47.9897 0.15625H43.2656V9.82501H45.3376V6.04037H47.6443L49.7164 9.82501H52.0094L49.715 5.75211C50.8666 5.30941 51.5259 4.37721 51.5259 3.09831Z" fill="white" fill-opacity="0.8"/>
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+</g>
+</g>
+</g>
+</g>
+<g id="Clip path group_8">
+<mask id="mask7_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_53">
+<path id="Vector_12" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask7_5981_52010)">
+<g id="Group_16">
+<g id="Group_17">
+<g id="Group_18">
+<path id="Vector_13" d="M57.8732 8.05653C56.2438 8.05653 55.2496 6.89631 55.2496 5.00404C55.2496 3.08416 56.2438 1.92394 57.8732 1.92394C59.4887 1.92394 60.4691 3.08416 60.4691 5.00404C60.4691 6.89631 59.4887 8.05653 57.8732 8.05653ZM57.8732 -0.00976562C55.0839 -0.00976562 53.1094 2.06206 53.1094 5.00404C53.1094 7.91841 55.0839 9.99023 57.8732 9.99023C60.6486 9.99023 62.6094 7.91841 62.6094 5.00404C62.6094 2.06206 60.6486 -0.00976562 57.8732 -0.00976562Z" fill="white" fill-opacity="0.8"/>
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+<mask id="mask8_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
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+<path id="Vector_14" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask8_5981_52010)">
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+<path id="Vector_15" d="M69.1794 4.45194H66.6233V2.02094H69.1794C70.2019 2.02094 70.7407 2.43532 70.7407 3.23644C70.7407 4.03756 70.2019 4.45194 69.1794 4.45194ZM69.2762 0.15625H64.5508V9.82501H66.6233V6.31662H69.2762C71.473 6.31662 72.8133 5.15637 72.8133 3.23644C72.8133 1.3165 71.473 0.15625 69.2762 0.15625Z" fill="white" fill-opacity="0.8"/>
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+</g>
+<g id="Clip path group_10">
+<mask id="mask9_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
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+<path id="Vector_16" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask9_5981_52010)">
+<g id="Group_22">
+<g id="Group_23">
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+</g>
+</g>
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+  <path d="M10.2334 4.3469L10.3567 4.06406C10.5764 3.55974 10.9723 3.15821 11.4662 2.93854L11.846 2.76961C12.0514 2.67827 12.0514 2.37941 11.846 2.28806L11.4874 2.12857C10.9808 1.90326 10.5779 1.48687 10.3619 0.965415L10.2353 0.659765C10.1471 0.446745 9.8529 0.446745 9.76465 0.659765L9.63805 0.965415C9.4221 1.48687 9.0192 1.90326 8.5126 2.12857L8.154 2.28806C7.94865 2.37941 7.94865 2.67827 8.154 2.76961L8.53385 2.93854C9.02775 3.15821 9.42355 3.55974 9.6433 4.06406L9.76655 4.3469C9.8568 4.55396 10.1432 4.55396 10.2334 4.3469ZM1.4959 1.5H7V2.5H4V9.5H8V4.5H9V5.5H10H11V10.0033C11 10.2776 10.7723 10.5 10.5041 10.5H1.4959C1.22203 10.5 1 10.2775 1 10.0033V1.9967C1 1.72238 1.22766 1.5 1.4959 1.5ZM2 2.5V3.5H3V2.5H2ZM2 4.5V5.5H3V4.5H2ZM2 6.5V7.5H3V6.5H2ZM9 6.5V7.5H10V6.5H9ZM2 8.5V9.5H3V8.5H2ZM9 8.5V9.5H10V8.5H9Z" fill="#676F83"/>
+</svg>
\ No newline at end of file
diff --git a/web/app/components/base/icons/assets/vender/workflow/agent.svg b/web/app/components/base/icons/assets/vender/workflow/agent.svg
new file mode 100644
index 0000000000..f30c0b455f
--- /dev/null
+++ b/web/app/components/base/icons/assets/vender/workflow/agent.svg
@@ -0,0 +1,8 @@
+<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="agent">
+<g id="Vector">
+<path d="M14.7401 5.80454C14.5765 4.77996 14.1638 3.79808 13.5306 2.97273C12.8973 2.14738 12.0648 1.48568 11.1185 1.06589C10.1722 0.646098 9.12632 0.461106 8.08751 0.546487C7.05582 0.624753 6.04548 0.966277 5.17744 1.53548C4.3094 2.09758 3.58366 2.88024 3.09272 3.79808C2.59466 4.70881 2.33852 5.7405 2.33852 6.7793V7.22756L1.25703 9.3692C1.04357 9.80322 1.22145 10.3368 1.65547 10.5574L2.3314 10.8989V12.3006C2.3314 12.82 2.53063 13.3038 2.90061 13.6738C3.2706 14.0367 3.75442 14.243 4.27382 14.243H6.01702V14.7624C6.01702 15.1538 6.3372 15.4739 6.72853 15.4739C7.11986 15.4739 7.44004 15.1538 7.44004 14.7624V13.7094C7.44004 13.2185 7.04159 12.82 6.55065 12.82H4.27382C4.13864 12.82 4.00345 12.7631 3.91095 12.6706C3.81846 12.5781 3.76154 12.4429 3.76154 12.3077V10.5716C3.76154 10.2301 3.56943 9.92417 3.2706 9.77476L2.77254 9.52573L3.66904 7.73984C3.72596 7.61889 3.76154 7.4837 3.76154 7.34851V6.77219C3.76154 5.96818 3.96076 5.17129 4.34498 4.4669C4.72919 3.76251 5.28417 3.15772 5.9601 2.7237C6.63603 2.28968 7.41158 2.02643 8.20847 1.96239C9.00536 1.89835 9.81648 2.04066 10.5493 2.36795C11.2822 2.69524 11.9225 3.20042 12.4135 3.84077C12.8973 4.47402 13.2246 5.23533 13.3456 6.02511C13.4665 6.81488 13.3954 7.63312 13.125 8.38731C12.8617 9.12017 12.4206 9.78187 11.8585 10.3084C11.6735 10.4792 11.5668 10.7139 11.5668 10.9701V14.7624C11.5668 15.1538 11.887 15.4739 12.2783 15.4739C12.6696 15.4739 12.9898 15.1538 12.9898 14.7624V11.1978C13.6515 10.5432 14.1567 9.73918 14.4697 8.87114C14.8184 7.89637 14.918 6.83623 14.7615 5.81165L14.7401 5.80454Z" fill="white"/>
+<path d="M10.8055 7.99599C10.8909 7.83234 10.962 7.66158 11.0189 7.4837H11.6522C12.0435 7.4837 12.3637 7.16352 12.3637 6.77219C12.3637 6.38086 12.0435 6.06068 11.6522 6.06068H11.0189C10.9691 5.8828 10.898 5.71204 10.8055 5.54839L11.2537 5.10014C11.5312 4.82266 11.5312 4.3744 11.2537 4.09692C10.9762 3.81943 10.528 3.81943 10.2505 4.09692L9.80225 4.54517C9.6386 4.45267 9.46784 4.38863 9.28996 4.33171V3.69847C9.28996 3.30714 8.96978 2.98696 8.57845 2.98696C8.18712 2.98696 7.86694 3.30714 7.86694 3.69847V4.33171C7.68907 4.38152 7.5183 4.45267 7.35466 4.54517L6.90641 4.09692C6.62892 3.81943 6.18067 3.81943 5.90318 4.09692C5.62569 4.3744 5.62569 4.82266 5.90318 5.10014L6.35143 5.54839C6.26605 5.71204 6.1949 5.8828 6.13798 6.06068H5.50473C5.1134 6.06068 4.79323 6.38086 4.79323 6.77219C4.79323 7.16352 5.1134 7.4837 5.50473 7.4837H6.13798C6.18778 7.66158 6.25893 7.83234 6.35143 7.99599L5.90318 8.44424C5.62569 8.72172 5.62569 9.16997 5.90318 9.44746C6.04548 9.58976 6.22336 9.6538 6.40835 9.6538C6.59334 9.6538 6.77122 9.58265 6.91352 9.44746L7.36177 8.99921C7.52542 9.08459 7.69618 9.15574 7.87406 9.21267V9.84591C7.87406 10.2372 8.19424 10.5574 8.58557 10.5574C8.9769 10.5574 9.29708 10.2372 9.29708 9.84591V9.21267C9.47496 9.16286 9.64572 9.09171 9.80936 8.99921L10.2576 9.44746C10.3999 9.58976 10.5778 9.6538 10.7628 9.6538C10.9478 9.6538 11.1257 9.58265 11.268 9.44746C11.5454 9.16997 11.5454 8.72172 11.268 8.44424L10.8197 7.99599H10.8055ZM7.44004 6.77219C7.44004 6.14606 7.94521 5.64089 8.57134 5.64089C9.19747 5.64089 9.70264 6.14606 9.70264 6.77219C9.70264 7.39832 9.19747 7.90349 8.57134 7.90349C7.94521 7.90349 7.44004 7.39832 7.44004 6.77219Z" fill="white"/>
+</g>
+</g>
+</svg>
diff --git a/web/app/components/base/icons/script.js b/web/app/components/base/icons/script.mjs
similarity index 94%
rename from web/app/components/base/icons/script.js
rename to web/app/components/base/icons/script.mjs
index 0ff6a2a483..1952a15251 100644
--- a/web/app/components/base/icons/script.js
+++ b/web/app/components/base/icons/script.mjs
@@ -1,8 +1,9 @@
-const path = require('node:path')
-const { open, readdir, access, mkdir, writeFile, appendFile, rm } = require('node:fs/promises')
-const { parseXml } = require('@rgrove/parse-xml')
-const camelCase = require('lodash/camelCase')
-const template = require('lodash/template')
+import path from 'node:path'
+import { access, appendFile, mkdir, open, readdir, rm, writeFile } from 'node:fs/promises'
+import { parseXml } from '@rgrove/parse-xml'
+import { camelCase, template } from 'lodash-es'
+
+const __dirname = path.dirname(new URL(import.meta.url).pathname)
 
 const generateDir = async (currentPath) => {
   try {
diff --git a/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx b/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx
index 5206d02622..85280607a7 100644
--- a/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx
+++ b/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './BaichuanTextCn.module.css'
 import cn from '@/utils/classnames'
+import s from './BaichuanTextCn.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/Minimax.tsx b/web/app/components/base/icons/src/image/llm/Minimax.tsx
index 7b75ff6f61..ea8c87a188 100644
--- a/web/app/components/base/icons/src/image/llm/Minimax.tsx
+++ b/web/app/components/base/icons/src/image/llm/Minimax.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './Minimax.module.css'
 import cn from '@/utils/classnames'
+import s from './Minimax.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/MinimaxText.tsx b/web/app/components/base/icons/src/image/llm/MinimaxText.tsx
index 490a977517..b6dfba4f70 100644
--- a/web/app/components/base/icons/src/image/llm/MinimaxText.tsx
+++ b/web/app/components/base/icons/src/image/llm/MinimaxText.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './MinimaxText.module.css'
 import cn from '@/utils/classnames'
+import s from './MinimaxText.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/Tongyi.tsx b/web/app/components/base/icons/src/image/llm/Tongyi.tsx
index 543b4ce63d..2fc2c8b000 100644
--- a/web/app/components/base/icons/src/image/llm/Tongyi.tsx
+++ b/web/app/components/base/icons/src/image/llm/Tongyi.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './Tongyi.module.css'
 import cn from '@/utils/classnames'
+import s from './Tongyi.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/TongyiText.tsx b/web/app/components/base/icons/src/image/llm/TongyiText.tsx
index 16e3920780..ca8cd5793b 100644
--- a/web/app/components/base/icons/src/image/llm/TongyiText.tsx
+++ b/web/app/components/base/icons/src/image/llm/TongyiText.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './TongyiText.module.css'
 import cn from '@/utils/classnames'
+import s from './TongyiText.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx b/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx
index c14d323c60..605a254b57 100644
--- a/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx
+++ b/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './TongyiTextCn.module.css'
 import cn from '@/utils/classnames'
+import s from './TongyiTextCn.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/Wxyy.tsx b/web/app/components/base/icons/src/image/llm/Wxyy.tsx
index 312e325043..c73ddffa1c 100644
--- a/web/app/components/base/icons/src/image/llm/Wxyy.tsx
+++ b/web/app/components/base/icons/src/image/llm/Wxyy.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './Wxyy.module.css'
 import cn from '@/utils/classnames'
+import s from './Wxyy.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/WxyyText.tsx b/web/app/components/base/icons/src/image/llm/WxyyText.tsx
index fd618e8d34..1ba8335fd2 100644
--- a/web/app/components/base/icons/src/image/llm/WxyyText.tsx
+++ b/web/app/components/base/icons/src/image/llm/WxyyText.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './WxyyText.module.css'
 import cn from '@/utils/classnames'
+import s from './WxyyText.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx b/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx
index 01acc26241..02616573e5 100644
--- a/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx
+++ b/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx
@@ -2,8 +2,8 @@
 // DON NOT EDIT IT MANUALLY
 
 import * as React from 'react'
-import s from './WxyyTextCn.module.css'
 import cn from '@/utils/classnames'
+import s from './WxyyTextCn.module.css'
 
 const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>((
   { className, ...restProps },
diff --git a/web/app/components/base/icons/src/public/llm/AnthropicDark.json b/web/app/components/base/icons/src/public/llm/AnthropicDark.json
new file mode 100644
index 0000000000..4f3af3ce79
--- /dev/null
+++ b/web/app/components/base/icons/src/public/llm/AnthropicDark.json
@@ -0,0 +1,1046 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "90",
+			"height": "10",
+			"viewBox": "0 0 90 10",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Anthropic",
+					"clip-path": "url(#clip0_5981_49007)"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"id": "Clip path group"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "mask",
+								"attributes": {
+									"id": "mask0_5981_49007",
+									"style": "mask-type:luminance",
+									"maskUnits": "userSpaceOnUse",
+									"x": "0",
+									"y": "-1",
+									"width": "90",
+									"height": "11"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "g",
+										"attributes": {
+											"id": "__lottie_element_2"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "path",
+												"attributes": {
+													"id": "Vector",
+													"d": "M89.375 -0.00195312H0V9.99805H89.375V-0.00195312Z",
+													"fill": "white"
+												},
+												"children": []
+											}
+										]
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"mask": "url(#mask0_5981_49007)"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "g",
+										"attributes": {
+											"id": "Group"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"id": "Clip path group_2"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "mask",
+														"attributes": {
+															"id": "mask1_5981_49007",
+															"style": "mask-type:luminance",
+															"maskUnits": "userSpaceOnUse",
+															"x": "0",
+															"y": "-1",
+															"width": "90",
+															"height": "11"
+														},
+														"children": [
+															{
+																"type": "element",
+																"name": "g",
+																"attributes": {
+																	"id": "__lottie_element_4"
+																},
+																"children": [
+																	{
+																		"type": "element",
+																		"name": "path",
+																		"attributes": {
+																			"id": "Vector_2",
+																			"d": "M0 -0.00390625H89.375V9.99609H0V-0.00390625Z",
+																			"fill": "white"
+																		},
+																		"children": []
+																	}
+																]
+															}
+														]
+													},
+													{
+														"type": "element",
+														"name": "g",
+														"attributes": {
+															"mask": "url(#mask1_5981_49007)"
+														},
+														"children": [
+															{
+																"type": "element",
+																"name": "g",
+																"attributes": {
+																	"id": "Group_2"
+																},
+																"children": [
+																	{
+																		"type": "element",
+																		"name": "g",
+																		"attributes": {
+																			"id": "Clip path group_3"
+																		},
+																		"children": [
+																			{
+																				"type": "element",
+																				"name": "mask",
+																				"attributes": {
+																					"id": "mask2_5981_49007",
+																					"style": "mask-type:luminance",
+																					"maskUnits": "userSpaceOnUse",
+																					"x": "0",
+																					"y": "-1",
+																					"width": "90",
+																					"height": "11"
+																				},
+																				"children": [
+																					{
+																						"type": "element",
+																						"name": "g",
+																						"attributes": {
+																							"id": "__lottie_element_12"
+																						},
+																						"children": [
+																							{
+																								"type": "element",
+																								"name": "path",
+																								"attributes": {
+																									"id": "Vector_3",
+																									"d": "M0 -0.00585938H89.375V9.99414H0V-0.00585938Z",
+																									"fill": "white"
+																								},
+																								"children": []
+																							}
+																						]
+																					}
+																				]
+																			},
+																			{
+																				"type": "element",
+																				"name": "g",
+																				"attributes": {
+																					"mask": "url(#mask2_5981_49007)"
+																				},
+																				"children": [
+																					{
+																						"type": "element",
+																						"name": "g",
+																						"attributes": {
+																							"id": "Group_3"
+																						},
+																						"children": [
+																							{
+																								"type": "element",
+																								"name": "g",
+																								"attributes": {
+																									"id": "Clip path group_4"
+																								},
+																								"children": [
+																									{
+																										"type": "element",
+																										"name": "mask",
+																										"attributes": {
+																											"id": "mask3_5981_49007",
+																											"style": "mask-type:luminance",
+																											"maskUnits": "userSpaceOnUse",
+																											"x": "0",
+																											"y": "-1",
+																											"width": "90",
+																											"height": "11"
+																										},
+																										"children": [
+																											{
+																												"type": "element",
+																												"name": "g",
+																												"attributes": {
+																													"id": "__lottie_element_89"
+																												},
+																												"children": [
+																													{
+																														"type": "element",
+																														"name": "path",
+																														"attributes": {
+																															"id": "Vector_4",
+																															"d": "M0 -0.0078125H89.375V9.99219H0V-0.0078125Z",
+																															"fill": "white"
+																														},
+																														"children": []
+																													}
+																												]
+																											}
+																										]
+																									},
+																									{
+																										"type": "element",
+																										"name": "g",
+																										"attributes": {
+																											"mask": "url(#mask3_5981_49007)"
+																										},
+																										"children": [
+																											{
+																												"type": "element",
+																												"name": "g",
+																												"attributes": {
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+																																]
+																															}
+																														]
+																													}
+																												]
+																											}
+																										]
+																									}
+																								]
+																							},
+																							{
+																								"type": "element",
+																								"name": "g",
+																								"attributes": {
+																									"id": "Clip path group_11"
+																								},
+																								"children": [
+																									{
+																										"type": "element",
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+																										"attributes": {
+																											"id": "mask10_5981_49007",
+																											"style": "mask-type:luminance",
+																											"maskUnits": "userSpaceOnUse",
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+																										},
+																										"children": [
+																											{
+																												"type": "element",
+																												"name": "g",
+																												"attributes": {
+																													"id": "__lottie_element_26"
+																												},
+																												"children": [
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+																																		"children": []
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+																								"name": "g",
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+																										"children": [
+																											{
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+																												"name": "g",
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+																												},
+																												"children": [
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+																											"mask": "url(#mask11_5981_49007)"
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+																												},
+																												"children": [
+																													{
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+																														},
+																														"children": [
+																															{
+																																"type": "element",
+																																"name": "g",
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+																																	"id": "Group_30"
+																																},
+																																"children": [
+																																	{
+																																		"type": "element",
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+																																		"attributes": {
+																																			"id": "Vector_21",
+																																			"d": "M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z",
+																																			"fill": "black",
+																																			"fill-opacity": "0.95"
+																																		},
+																																		"children": []
+																																	}
+																																]
+																															}
+																														]
+																													}
+																												]
+																											}
+																										]
+																									}
+																								]
+																							}
+																						]
+																					}
+																				]
+																			}
+																		]
+																	}
+																]
+															}
+														]
+													}
+												]
+											}
+										]
+									}
+								]
+							}
+						]
+					}
+				]
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {},
+				"children": [
+					{
+						"type": "element",
+						"name": "clipPath",
+						"attributes": {
+							"id": "clip0_5981_49007"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "rect",
+								"attributes": {
+									"width": "89.375",
+									"height": "10",
+									"fill": "white"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "AnthropicDark"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx b/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx
new file mode 100644
index 0000000000..d358b0c111
--- /dev/null
+++ b/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AnthropicDark.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AnthropicDark'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/llm/AnthropicLight.json b/web/app/components/base/icons/src/public/llm/AnthropicLight.json
new file mode 100644
index 0000000000..3e84eb4dd6
--- /dev/null
+++ b/web/app/components/base/icons/src/public/llm/AnthropicLight.json
@@ -0,0 +1,1046 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "90",
+			"height": "10",
+			"viewBox": "0 0 90 10",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Anthropic",
+					"clip-path": "url(#clip0_5981_52010)"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"id": "Clip path group"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "mask",
+								"attributes": {
+									"id": "mask0_5981_52010",
+									"style": "mask-type:luminance",
+									"maskUnits": "userSpaceOnUse",
+									"x": "0",
+									"y": "-1",
+									"width": "90",
+									"height": "11"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "g",
+										"attributes": {
+											"id": "__lottie_element_2"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "path",
+												"attributes": {
+													"id": "Vector",
+													"d": "M89.375 -0.00195312H0V9.99805H89.375V-0.00195312Z",
+													"fill": "white"
+												},
+												"children": []
+											}
+										]
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"mask": "url(#mask0_5981_52010)"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "g",
+										"attributes": {
+											"id": "Group"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "g",
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+													"id": "Clip path group_2"
+												},
+												"children": [
+													{
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+															"id": "mask1_5981_52010",
+															"style": "mask-type:luminance",
+															"maskUnits": "userSpaceOnUse",
+															"x": "0",
+															"y": "-1",
+															"width": "90",
+															"height": "11"
+														},
+														"children": [
+															{
+																"type": "element",
+																"name": "g",
+																"attributes": {
+																	"id": "__lottie_element_4"
+																},
+																"children": [
+																	{
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+																		"name": "path",
+																		"attributes": {
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+																			"d": "M0 -0.00390625H89.375V9.99609H0V-0.00390625Z",
+																			"fill": "white"
+																		},
+																		"children": []
+																	}
+																]
+															}
+														]
+													},
+													{
+														"type": "element",
+														"name": "g",
+														"attributes": {
+															"mask": "url(#mask1_5981_52010)"
+														},
+														"children": [
+															{
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+																"name": "g",
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+																	"id": "Group_2"
+																},
+																"children": [
+																	{
+																		"type": "element",
+																		"name": "g",
+																		"attributes": {
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+																		},
+																		"children": [
+																			{
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+																					"y": "-1",
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+																				},
+																				"children": [
+																					{
+																						"type": "element",
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+																						"attributes": {
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+																						},
+																						"children": [
+																							{
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+																								},
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+																										},
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+																												},
+																												"children": [
+																													{
+																														"type": "element",
+																														"name": "g",
+																														"attributes": {
+																															"id": "Group_29"
+																														},
+																														"children": [
+																															{
+																																"type": "element",
+																																"name": "g",
+																																"attributes": {
+																																	"id": "Group_30"
+																																},
+																																"children": [
+																																	{
+																																		"type": "element",
+																																		"name": "path",
+																																		"attributes": {
+																																			"id": "Vector_21",
+																																			"d": "M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z",
+																																			"fill": "white",
+																																			"fill-opacity": "0.8"
+																																		},
+																																		"children": []
+																																	}
+																																]
+																															}
+																														]
+																													}
+																												]
+																											}
+																										]
+																									}
+																								]
+																							}
+																						]
+																					}
+																				]
+																			}
+																		]
+																	}
+																]
+															}
+														]
+													}
+												]
+											}
+										]
+									}
+								]
+							}
+						]
+					}
+				]
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {},
+				"children": [
+					{
+						"type": "element",
+						"name": "clipPath",
+						"attributes": {
+							"id": "clip0_5981_52010"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "rect",
+								"attributes": {
+									"width": "89.375",
+									"height": "10",
+									"fill": "white"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "AnthropicLight"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx b/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx
new file mode 100644
index 0000000000..34df60f28c
--- /dev/null
+++ b/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AnthropicLight.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AnthropicLight'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/public/llm/index.ts b/web/app/components/base/icons/src/public/llm/index.ts
index 3545049795..cc9b531ebf 100644
--- a/web/app/components/base/icons/src/public/llm/index.ts
+++ b/web/app/components/base/icons/src/public/llm/index.ts
@@ -1,3 +1,5 @@
+export { default as AnthropicDark } from './AnthropicDark'
+export { default as AnthropicLight } from './AnthropicLight'
 export { default as AnthropicText } from './AnthropicText'
 export { default as Anthropic } from './Anthropic'
 export { default as AzureOpenaiServiceText } from './AzureOpenaiServiceText'
diff --git a/web/app/components/base/icons/src/vender/other/AnthropicText.json b/web/app/components/base/icons/src/vender/other/AnthropicText.json
new file mode 100644
index 0000000000..a65ef47747
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/AnthropicText.json
@@ -0,0 +1,539 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "90",
+			"height": "20",
+			"viewBox": "0 0 90 20",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"clip-path": "url(#clip0_8587_60274)"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "mask",
+						"attributes": {
+							"id": "mask0_8587_60274",
+							"style": "mask-type:luminance",
+							"maskUnits": "userSpaceOnUse",
+							"x": "0",
+							"y": "4",
+							"width": "90",
+							"height": "11"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"d": "M89.375 4.99805H0V14.998H89.375V4.99805Z",
+									"fill": "currentColor"
+								},
+								"children": []
+							}
+						]
+					},
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"mask": "url(#mask0_8587_60274)"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "mask",
+								"attributes": {
+									"id": "mask1_8587_60274",
+									"style": "mask-type:luminance",
+									"maskUnits": "userSpaceOnUse",
+									"x": "0",
+									"y": "4",
+									"width": "90",
+									"height": "11"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "path",
+										"attributes": {
+											"d": "M0 4.99609H89.375V14.9961H0V4.99609Z",
+											"fill": "currentColor"
+										},
+										"children": []
+									}
+								]
+							},
+							{
+								"type": "element",
+								"name": "g",
+								"attributes": {
+									"mask": "url(#mask1_8587_60274)"
+								},
+								"children": [
+									{
+										"type": "element",
+										"name": "mask",
+										"attributes": {
+											"id": "mask2_8587_60274",
+											"style": "mask-type:luminance",
+											"maskUnits": "userSpaceOnUse",
+											"x": "0",
+											"y": "4",
+											"width": "90",
+											"height": "11"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "path",
+												"attributes": {
+													"d": "M0 4.99414H89.375V14.9941H0V4.99414Z",
+													"fill": "currentColor"
+												},
+												"children": []
+											}
+										]
+									},
+									{
+										"type": "element",
+										"name": "g",
+										"attributes": {
+											"mask": "url(#mask2_8587_60274)"
+										},
+										"children": [
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask3_8587_60274",
+													"style": "mask-type:luminance",
+													"maskUnits": "userSpaceOnUse",
+													"x": "0",
+													"y": "4",
+													"width": "90",
+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask3_8587_60274)"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M18.1273 11.9244L13.7773 5.15625H11.4297V14.825H13.4321V8.05688L17.7821 14.825H20.1297V5.15625H18.1273V11.9244Z",
+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask4_8587_60274",
+													"style": "mask-type:luminance",
+													"maskUnits": "userSpaceOnUse",
+													"x": "0",
+													"y": "4",
+													"width": "90",
+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask4_8587_60274)"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M21.7969 7.02094H25.0423V14.825H27.1139V7.02094H30.3594V5.15625H21.7969V7.02094Z",
+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask5_8587_60274",
+													"style": "mask-type:luminance",
+													"maskUnits": "userSpaceOnUse",
+													"x": "0",
+													"y": "4",
+													"width": "90",
+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask5_8587_60274)"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M38.6442 9.00994H34.0871V5.15625H32.0156V14.825H34.0871V10.8746H38.6442V14.825H40.7156V5.15625H38.6442V9.00994Z",
+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask6_8587_60274",
+													"style": "mask-type:luminance",
+													"maskUnits": "userSpaceOnUse",
+													"x": "0",
+													"y": "4",
+													"width": "90",
+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask6_8587_60274)"
+												},
+												"children": [
+													{
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+														"name": "path",
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+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask7_8587_60274",
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+													"x": "0",
+													"y": "4",
+													"width": "90",
+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
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+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask7_8587_60274)"
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+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
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+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask8_8587_60274)"
+												},
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+														"name": "path",
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+															"fill": "currentColor",
+															"fill-opacity": "0.92"
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+														"children": []
+													}
+												]
+											},
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+														},
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+													}
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+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask9_8587_60274)"
+												},
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+													{
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+														"name": "path",
+														"attributes": {
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+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask10_8587_60274)"
+												},
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+														"name": "path",
+														"attributes": {
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+															"fill": "currentColor",
+															"fill-opacity": "0.92"
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+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "mask",
+												"attributes": {
+													"id": "mask11_8587_60274",
+													"style": "mask-type:luminance",
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+													"height": "11"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M0 4.99219H89.375V14.9922H0V4.99219Z",
+															"fill": "currentColor"
+														},
+														"children": []
+													}
+												]
+											},
+											{
+												"type": "element",
+												"name": "g",
+												"attributes": {
+													"mask": "url(#mask11_8587_60274)"
+												},
+												"children": [
+													{
+														"type": "element",
+														"name": "path",
+														"attributes": {
+															"d": "M3.64038 10.9989L4.95938 7.60106L6.27838 10.9989H3.64038ZM3.85422 5.15625L0 14.825H2.15505L2.9433 12.7946H6.97558L7.76371 14.825H9.91875L6.06453 5.15625H3.85422Z",
+															"fill": "currentColor",
+															"fill-opacity": "0.92"
+														},
+														"children": []
+													}
+												]
+											}
+										]
+									}
+								]
+							}
+						]
+					}
+				]
+			},
+			{
+				"type": "element",
+				"name": "defs",
+				"attributes": {},
+				"children": [
+					{
+						"type": "element",
+						"name": "clipPath",
+						"attributes": {
+							"id": "clip0_8587_60274"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "rect",
+								"attributes": {
+									"width": "89.375",
+									"height": "10",
+									"fill": "white",
+									"transform": "translate(0 5)"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "AnthropicText"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/other/AnthropicText.tsx b/web/app/components/base/icons/src/vender/other/AnthropicText.tsx
new file mode 100644
index 0000000000..868cfe5f27
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/AnthropicText.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AnthropicText.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AnthropicText'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/other/Group.json b/web/app/components/base/icons/src/vender/other/Group.json
new file mode 100644
index 0000000000..078febbc80
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/Group.json
@@ -0,0 +1,66 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "14",
+			"height": "16",
+			"viewBox": "0 0 14 16",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Group"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"d": "M5.6475 8.0115L0.333496 5.05884V11.3335C0.333491 11.4524 0.365258 11.569 0.425506 11.6715C0.485754 11.7739 0.572294 11.8584 0.676163 11.9162L6.3335 15.0588V9.17684C6.33344 8.93907 6.26981 8.70565 6.14919 8.50075C6.02857 8.29586 5.85536 8.12694 5.6475 8.0115Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_2",
+							"d": "M7.66699 9.17684V15.0588L13.3243 11.9162C13.4282 11.8584 13.5147 11.7739 13.575 11.6715C13.6352 11.569 13.667 11.4524 13.667 11.3335V5.05884L8.35299 8.0115C8.14513 8.12694 7.97192 8.29586 7.8513 8.50075C7.73068 8.70565 7.66705 8.93907 7.66699 9.17684Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_3",
+							"d": "M10.1913 2.34351C9.804 3.33351 8.588 4.00017 7 4.00017C5.412 4.00017 4.196 3.33351 3.80867 2.34351L1 3.90417L6.35267 6.87817C6.5507 6.98815 6.77348 7.04586 7 7.04586C7.22652 7.04586 7.4493 6.98815 7.64733 6.87817L13 3.90417L10.1913 2.34351Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_4",
+							"d": "M7 2.66675C8.10457 2.66675 9 2.21903 9 1.66675C9 1.11446 8.10457 0.666748 7 0.666748C5.89543 0.666748 5 1.11446 5 1.66675C5 2.21903 5.89543 2.66675 7 2.66675Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					}
+				]
+			}
+		]
+	},
+	"name": "Group"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/other/Group.tsx b/web/app/components/base/icons/src/vender/other/Group.tsx
new file mode 100644
index 0000000000..ba9d130f80
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/Group.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Group.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Group'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/other/Openai.json b/web/app/components/base/icons/src/vender/other/Openai.json
new file mode 100644
index 0000000000..236f66fcf2
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/Openai.json
@@ -0,0 +1,80 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "80",
+			"height": "22",
+			"viewBox": "0 0 80 22",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M25.1152 10.5767C25.1152 14.1738 27.4253 16.6818 30.6264 16.6818C33.8274 16.6818 36.1375 14.1738 36.1375 10.5767C36.1375 6.97961 33.8274 4.47156 30.6264 4.47156C27.4253 4.47156 25.1152 6.97961 25.1152 10.5767ZM34.0254 10.5767C34.0254 13.1507 32.6229 14.8173 30.6264 14.8173C28.6298 14.8173 27.2273 13.1507 27.2273 10.5767C27.2273 8.00263 28.6298 6.3361 30.6264 6.3361C32.6229 6.3361 34.0254 8.00263 34.0254 10.5767Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M42.0868 16.6819C44.5124 16.6819 45.8984 14.6358 45.8984 12.1773C45.8984 9.71871 44.5124 7.67267 42.0868 7.67267C40.9648 7.67267 40.1398 8.11818 39.5953 8.76169V7.83767H37.6152V19.4704H39.5953V15.5928C40.1398 16.2364 40.9648 16.6819 42.0868 16.6819ZM39.5458 11.9298C39.5458 10.2962 40.4698 9.40521 41.6908 9.40521C43.1264 9.40521 43.9019 10.5272 43.9019 12.1773C43.9019 13.8273 43.1264 14.9493 41.6908 14.9493C40.4698 14.9493 39.5458 14.0418 39.5458 12.4413V11.9298Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M51.2545 16.6819C52.987 16.6819 54.3565 15.7743 54.967 14.2563L53.2675 13.6128C53.0035 14.5038 52.228 14.9988 51.2545 14.9988C49.9839 14.9988 49.0929 14.0913 48.9444 12.6063H55.0165V11.9463C55.0165 9.57021 53.68 7.67267 51.172 7.67267C48.6639 7.67267 47.0469 9.63621 47.0469 12.1773C47.0469 14.8503 48.7794 16.6819 51.2545 16.6819ZM51.1555 9.3392C52.4095 9.3392 53.0035 10.1642 53.02 11.1212H49.0434C49.3404 9.94972 50.1324 9.3392 51.1555 9.3392Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M56.5039 16.5004H58.484V11.4182C58.484 10.1807 59.3915 9.52071 60.2825 9.52071C61.3715 9.52071 61.8005 10.2962 61.8005 11.3687V16.5004H63.7806V10.7912C63.7806 8.9267 62.6915 7.67267 60.8765 7.67267C59.7545 7.67267 58.979 8.18418 58.484 8.76169V7.83767H56.5039V16.5004Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M69.5799 4.65308L65.0918 16.5003H67.1873L68.1939 13.7943H73.309L74.332 16.5003H76.4605L71.9724 4.65308H69.5799ZM70.7349 6.99613L72.616 11.9462H68.8869L70.7349 6.99613Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M79.8581 4.6875H77.7461V16.5348H79.8581V4.6875Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			},
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M20.2769 9.00436C20.776 7.50627 20.6041 5.86517 19.8059 4.50251C18.6055 2.41247 16.1924 1.3372 13.8356 1.84321C12.7871 0.662057 11.2808 -0.00964523 9.70154 -2.00271e-05C7.29248 -0.00552014 5.155 1.54551 4.41386 3.83769C2.86626 4.15463 1.53042 5.12334 0.748717 6.49631C-0.460621 8.58085 -0.184928 11.2085 1.43073 12.9961C0.931596 14.4942 1.10348 16.1353 1.90168 17.4979C3.10208 19.588 5.51526 20.6632 7.87206 20.1572C8.91983 21.3384 10.4269 22.0101 12.0061 21.9998C14.4165 22.006 16.5547 20.4535 17.2958 18.1593C18.8434 17.8424 20.1793 16.8737 20.961 15.5007C22.1689 13.4161 21.8925 10.7905 20.2776 9.00298L20.2769 9.00436ZM12.0075 20.5622C11.0429 20.5635 10.1085 20.226 9.36809 19.6079C9.40178 19.59 9.46022 19.5577 9.49803 19.5343L13.8789 17.0043C14.103 16.8771 14.2405 16.6385 14.2391 16.3807V10.2048L16.0906 11.2738C16.1105 11.2835 16.1236 11.3027 16.1264 11.3247V16.4391C16.1236 18.7134 14.2818 20.5574 12.0075 20.5622ZM3.14952 16.7788C2.6662 15.9441 2.49225 14.9658 2.65795 14.0163C2.69026 14.0356 2.74732 14.0707 2.78789 14.094L7.16873 16.6241C7.3908 16.754 7.6658 16.754 7.88856 16.6241L13.2367 13.5358V15.6739C13.2381 15.6959 13.2278 15.7173 13.2106 15.731L8.78233 18.2879C6.80985 19.4236 4.29079 18.7485 3.15021 16.7788H3.14952ZM1.99656 7.21613C2.47782 6.38012 3.23752 5.74073 4.14229 5.40866C4.14229 5.44647 4.14023 5.51316 4.14023 5.55991V10.6207C4.13885 10.8778 4.27636 11.1164 4.4998 11.2436L9.84798 14.3312L7.9965 15.4003C7.97794 15.4127 7.95456 15.4147 7.93393 15.4058L3.50496 12.8469C1.53661 11.707 0.86147 9.18861 1.99587 7.21682L1.99656 7.21613ZM17.2085 10.7561L11.8603 7.66783L13.7118 6.59943C13.7304 6.58706 13.7537 6.585 13.7744 6.59393L18.2033 9.1508C20.1751 10.29 20.851 12.8125 19.7118 14.7843C19.2298 15.6189 18.4708 16.2583 17.5667 16.5911V11.379C17.5688 11.1219 17.432 10.884 17.2092 10.7561H17.2085ZM19.0511 7.98271C19.0187 7.96278 18.9617 7.9284 18.9211 7.90502L14.5403 5.37497C14.3182 5.24503 14.0432 5.24503 13.8204 5.37497L8.47226 8.46329V6.32512C8.47088 6.30311 8.4812 6.2818 8.49838 6.26805L12.9267 3.71325C14.8991 2.57541 17.4209 3.25261 18.5581 5.22578C19.0387 6.05905 19.2126 7.03463 19.0497 7.98271H19.0511ZM7.46574 11.7936L5.61357 10.7245C5.59363 10.7149 5.58057 10.6956 5.57782 10.6736V5.55922C5.5792 3.28218 7.42655 1.43689 9.7036 1.43826C10.6668 1.43826 11.5991 1.77652 12.3395 2.39253C12.3058 2.41041 12.2481 2.44272 12.2096 2.46609L7.82874 4.99615C7.60461 5.12334 7.46711 5.36122 7.46849 5.61904L7.46574 11.7922V11.7936ZM8.47157 9.62519L10.8538 8.24947L13.236 9.6245V12.3752L10.8538 13.7503L8.47157 12.3752V9.62519Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			}
+		]
+	},
+	"name": "Openai"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/other/Openai.tsx b/web/app/components/base/icons/src/vender/other/Openai.tsx
new file mode 100644
index 0000000000..cf8d21a449
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/other/Openai.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Openai.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Openai'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/other/index.ts b/web/app/components/base/icons/src/vender/other/index.ts
index 1982dcfa3a..8ddf5e7a86 100644
--- a/web/app/components/base/icons/src/vender/other/index.ts
+++ b/web/app/components/base/icons/src/vender/other/index.ts
@@ -1,2 +1,5 @@
+export { default as AnthropicText } from './AnthropicText'
 export { default as Generator } from './Generator'
+export { default as Group } from './Group'
+export { default as Openai } from './Openai'
 export { default as ReplayLine } from './ReplayLine'
diff --git a/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json
new file mode 100644
index 0000000000..3733f98afd
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json
@@ -0,0 +1,66 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "14",
+			"height": "14",
+			"viewBox": "0 0 14 14",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Icon"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"fill-rule": "evenodd",
+							"clip-rule": "evenodd",
+							"d": "M11.3891 2.41987C11.6635 2.58871 11.749 2.94802 11.5802 3.22239L10.3324 5.25H11.0833C11.4055 5.25 11.6667 5.51117 11.6667 5.83334V11.6667C11.6667 12.311 11.1444 12.8333 10.5 12.8333H3.50001C2.85568 12.8333 2.33334 12.311 2.33334 11.6667V5.83334C2.33334 5.51117 2.59451 5.25 2.91668 5.25H8.96252L10.5865 2.61094C10.7554 2.33657 11.1147 2.25102 11.3891 2.41987ZM5.83334 7.58334C5.51118 7.58334 5.25001 7.84449 5.25001 8.16667C5.25001 8.48884 5.51118 8.75 5.83334 8.75H8.16668C8.48885 8.75 8.75001 8.48884 8.75001 8.16667C8.75001 7.84449 8.48885 7.58334 8.16668 7.58334H5.83334Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"id": "Vector_2",
+							"opacity": "0.5"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"d": "M6.91257 1.79347C6.96898 1.76525 7.01477 1.71948 7.043 1.66303L7.32195 1.10508C7.42946 0.890105 7.73623 0.890105 7.84374 1.10508L8.12269 1.66303C8.15093 1.71948 8.19672 1.76525 8.25313 1.79347L8.81108 2.07245C9.0261 2.17994 9.0261 2.48672 8.81108 2.5942L8.25313 2.87318C8.19672 2.9014 8.15093 2.94717 8.12269 3.00362L7.84374 3.56158C7.73623 3.77655 7.42946 3.77655 7.32195 3.56158L7.043 3.00362C7.01477 2.94717 6.96898 2.9014 6.91257 2.87318L6.35461 2.5942C6.13965 2.48672 6.13965 2.17994 6.35461 2.07245L6.91257 1.79347Z",
+									"fill": "currentColor"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"d": "M3.80145 2.7657C3.85789 2.73748 3.90366 2.69171 3.93189 2.63526L4.11364 2.27174C4.22113 2.05677 4.5279 2.05677 4.63539 2.27174L4.81715 2.63526C4.84537 2.6917 4.89114 2.73748 4.94759 2.7657L5.3111 2.94745C5.52607 3.05494 5.52607 3.36172 5.3111 3.4692L4.94759 3.65096C4.89114 3.67919 4.84537 3.72495 4.81715 3.7814L4.63539 4.14491C4.5279 4.35988 4.22113 4.35988 4.11364 4.14491L3.93189 3.7814C3.90366 3.72495 3.85789 3.67919 3.80145 3.65096L3.43793 3.4692C3.22296 3.36172 3.22296 3.05494 3.43793 2.94745L3.80145 2.7657Z",
+									"fill": "currentColor"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "BoxSparkleFill"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx
new file mode 100644
index 0000000000..5b60827fe9
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './BoxSparkleFill.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'BoxSparkleFill'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/plugin/LeftCorner.json b/web/app/components/base/icons/src/vender/plugin/LeftCorner.json
new file mode 100644
index 0000000000..d4cd0cd0ec
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/plugin/LeftCorner.json
@@ -0,0 +1,27 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "13",
+			"height": "20",
+			"viewBox": "0 0 13 20",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"id": "Shape",
+					"d": "M0 0H13V20C9.98017 20 7.26458 18.1615 6.14305 15.3576L0 0Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			}
+		]
+	},
+	"name": "LeftCorner"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx b/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx
new file mode 100644
index 0000000000..dd215b9bf7
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './LeftCorner.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'LeftCorner'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/plugin/index.ts b/web/app/components/base/icons/src/vender/plugin/index.ts
new file mode 100644
index 0000000000..943c764116
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/plugin/index.ts
@@ -0,0 +1,2 @@
+export { default as BoxSparkleFill } from './BoxSparkleFill'
+export { default as LeftCorner } from './LeftCorner'
diff --git a/web/app/components/base/icons/src/vender/solid/files/FileZip.json b/web/app/components/base/icons/src/vender/solid/files/FileZip.json
new file mode 100644
index 0000000000..11fe823916
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/files/FileZip.json
@@ -0,0 +1,47 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "16",
+			"height": "16",
+			"viewBox": "0 0 16 16",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Icon"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"d": "M3.99999 1.33325H7.99999V5.33325C7.99999 6.06963 8.59692 6.66659 9.33332 6.66659H13.3333V13.3333C13.3333 14.0697 12.7364 14.6666 12 14.6666H6.66666V13.3333H7.99999V11.9999H6.66666V10.6666H7.99999V9.33325H6.66666V7.99992H5.33332V9.33325H6.66666V10.6666H5.33332V11.9999H6.66666V13.3333H5.33332V14.6666H3.99999C3.26361 14.6666 2.66666 14.0697 2.66666 13.3333V2.66659C2.66666 1.93021 3.26361 1.33325 3.99999 1.33325Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					},
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector_2",
+							"opacity": "0.5",
+							"d": "M12.9428 4.99993C13.0415 5.09868 13.1232 5.21133 13.1859 5.33327H9.33334V1.48071C9.45528 1.54338 9.56794 1.62504 9.66668 1.72379L12.9428 4.99993Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					}
+				]
+			}
+		]
+	},
+	"name": "FileZip"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx b/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx
new file mode 100644
index 0000000000..675fa0ac98
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './FileZip.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'FileZip'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/solid/files/index.ts b/web/app/components/base/icons/src/vender/solid/files/index.ts
index 31feeb5309..fa93cd68dc 100644
--- a/web/app/components/base/icons/src/vender/solid/files/index.ts
+++ b/web/app/components/base/icons/src/vender/solid/files/index.ts
@@ -1,3 +1,4 @@
 export { default as File05 } from './File05'
 export { default as FileSearch02 } from './FileSearch02'
+export { default as FileZip } from './FileZip'
 export { default as Folder } from './Folder'
diff --git a/web/app/components/base/icons/src/vender/solid/general/Github.json b/web/app/components/base/icons/src/vender/solid/general/Github.json
new file mode 100644
index 0000000000..46e694215b
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/general/Github.json
@@ -0,0 +1,36 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "16",
+			"height": "16",
+			"viewBox": "0 0 16 16",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "Icon"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "path",
+						"attributes": {
+							"id": "Vector",
+							"d": "M8 1C4.1325 1 1 4.1325 1 8C1 11.0975 3.00375 13.7137 5.78625 14.6413C6.13625 14.7025 6.2675 14.4925 6.2675 14.3088C6.2675 14.1425 6.25875 13.5913 6.25875 13.005C4.5 13.3288 4.045 12.5763 3.905 12.1825C3.82625 11.9812 3.485 11.36 3.1875 11.1937C2.9425 11.0625 2.5925 10.7387 3.17875 10.73C3.73 10.7212 4.12375 11.2375 4.255 11.4475C4.885 12.5062 5.89125 12.2088 6.29375 12.025C6.355 11.57 6.53875 11.2638 6.74 11.0887C5.1825 10.9137 3.555 10.31 3.555 7.6325C3.555 6.87125 3.82625 6.24125 4.2725 5.75125C4.2025 5.57625 3.9575 4.85875 4.3425 3.89625C4.3425 3.89625 4.92875 3.7125 6.2675 4.61375C6.8275 4.45625 7.4225 4.3775 8.0175 4.3775C8.6125 4.3775 9.2075 4.45625 9.7675 4.61375C11.1063 3.70375 11.6925 3.89625 11.6925 3.89625C12.0775 4.85875 11.8325 5.57625 11.7625 5.75125C12.2087 6.24125 12.48 6.8625 12.48 7.6325C12.48 10.3187 10.8438 10.9137 9.28625 11.0887C9.54 11.3075 9.75875 11.7275 9.75875 12.3837C9.75875 13.32 9.75 14.0725 9.75 14.3088C9.75 14.4925 9.88125 14.7113 10.2312 14.6413C11.6209 14.1721 12.8284 13.279 13.6839 12.0877C14.5393 10.8963 14.9996 9.46668 15 8C15 4.1325 11.8675 1 8 1Z",
+							"fill": "currentColor"
+						},
+						"children": []
+					}
+				]
+			}
+		]
+	},
+	"name": "Github"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/solid/general/Github.tsx b/web/app/components/base/icons/src/vender/solid/general/Github.tsx
new file mode 100644
index 0000000000..416743fc71
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/general/Github.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Github.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Github'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/solid/general/index.ts b/web/app/components/base/icons/src/vender/solid/general/index.ts
index 9d2492e287..52647905ab 100644
--- a/web/app/components/base/icons/src/vender/solid/general/index.ts
+++ b/web/app/components/base/icons/src/vender/solid/general/index.ts
@@ -5,6 +5,7 @@ export { default as Download02 } from './Download02'
 export { default as Edit03 } from './Edit03'
 export { default as Edit04 } from './Edit04'
 export { default as Eye } from './Eye'
+export { default as Github } from './Github'
 export { default as MessageClockCircle } from './MessageClockCircle'
 export { default as PlusCircle } from './PlusCircle'
 export { default as QuestionTriangle } from './QuestionTriangle'
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json
new file mode 100644
index 0000000000..cd3006b76d
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json
@@ -0,0 +1,26 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"xmlns": "http://www.w3.org/2000/svg",
+			"width": "12",
+			"height": "12",
+			"viewBox": "0 0 12 12",
+			"fill": "none"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M10.3567 3.56405L10.2334 3.84689C10.1432 4.05396 9.8568 4.05396 9.76655 3.84689L9.6433 3.56405C9.42355 3.05973 9.02775 2.6582 8.53385 2.43854L8.154 2.26961C7.94865 2.17826 7.94865 1.8794 8.154 1.78806L8.5126 1.62857C9.0192 1.40325 9.4221 0.986865 9.63805 0.465414L9.76465 0.159767C9.8529 -0.0532556 10.1471 -0.0532556 10.2353 0.159767L10.3619 0.465414C10.5779 0.986865 10.9808 1.40325 11.4874 1.62857L11.846 1.78806C12.0514 1.8794 12.0514 2.17826 11.846 2.26961L11.4662 2.43854C10.9723 2.6582 10.5764 3.05973 10.3567 3.56405ZM4.25 3H3.25V9H4.25V3ZM2 5H1V7H2V5ZM6.5 1H5.5V11H6.5V1ZM8.75 4H7.75V9H8.75V4ZM11 5H10V7H11V5Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			}
+		]
+	},
+	"name": "AudioSupportIcon"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx
new file mode 100644
index 0000000000..c9477fc07f
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AudioSupportIcon.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AudioSupportIcon'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json
new file mode 100644
index 0000000000..49cb6a521c
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json
@@ -0,0 +1,26 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"xmlns": "http://www.w3.org/2000/svg",
+			"width": "12",
+			"height": "12",
+			"viewBox": "0 0 12 12",
+			"fill": "none"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M10.5 4V10.4966C10.5 10.7751 10.2776 11 10.0033 11H1.9967C1.72248 11 1.5 10.778 1.5 10.5041V1.4959C1.5 1.22766 1.72435 1 2.00111 1H7.4984L10.5 4ZM9.5 4.5H7V2H2.5V10H9.5V4.5ZM4 3.5H5.5V4.5H4V3.5ZM4 5.5H8V6.5H4V5.5ZM4 7.5H8V8.5H4V7.5Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			}
+		]
+	},
+	"name": "DocumentSupportIcon"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx
new file mode 100644
index 0000000000..d848c5a156
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './DocumentSupportIcon.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'DocumentSupportIcon'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json
new file mode 100644
index 0000000000..4bc6881a5d
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json
@@ -0,0 +1,26 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"xmlns": "http://www.w3.org/2000/svg",
+			"width": "12",
+			"height": "12",
+			"viewBox": "0 0 12 12",
+			"fill": "none"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "path",
+				"attributes": {
+					"d": "M10.2334 4.3469L10.3567 4.06406C10.5764 3.55974 10.9723 3.15821 11.4662 2.93854L11.846 2.76961C12.0514 2.67827 12.0514 2.37941 11.846 2.28806L11.4874 2.12857C10.9808 1.90326 10.5779 1.48687 10.3619 0.965415L10.2353 0.659765C10.1471 0.446745 9.8529 0.446745 9.76465 0.659765L9.63805 0.965415C9.4221 1.48687 9.0192 1.90326 8.5126 2.12857L8.154 2.28806C7.94865 2.37941 7.94865 2.67827 8.154 2.76961L8.53385 2.93854C9.02775 3.15821 9.42355 3.55974 9.6433 4.06406L9.76655 4.3469C9.8568 4.55396 10.1432 4.55396 10.2334 4.3469ZM1.4959 1.5H7V2.5H4V9.5H8V4.5H9V5.5H10H11V10.0033C11 10.2776 10.7723 10.5 10.5041 10.5H1.4959C1.22203 10.5 1 10.2775 1 10.0033V1.9967C1 1.72238 1.22766 1.5 1.4959 1.5ZM2 2.5V3.5H3V2.5H2ZM2 4.5V5.5H3V4.5H2ZM2 6.5V7.5H3V6.5H2ZM9 6.5V7.5H10V6.5H9ZM2 8.5V9.5H3V8.5H2ZM9 8.5V9.5H10V8.5H9Z",
+					"fill": "currentColor"
+				},
+				"children": []
+			}
+		]
+	},
+	"name": "VideoSupportIcon"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx
new file mode 100644
index 0000000000..6406af0746
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './VideoSupportIcon.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'VideoSupportIcon'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts
index ab43a47ea1..7c313fecfb 100644
--- a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts
+++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts
@@ -1,3 +1,5 @@
+export { default as AudioSupportIcon } from './AudioSupportIcon'
+export { default as DocumentSupportIcon } from './DocumentSupportIcon'
 export { default as MagicBox } from './MagicBox'
 export { default as MagicEyes } from './MagicEyes'
 export { default as MagicWand } from './MagicWand'
@@ -7,3 +9,4 @@ export { default as Robot } from './Robot'
 export { default as Sliders02 } from './Sliders02'
 export { default as Speaker } from './Speaker'
 export { default as StopCircle } from './StopCircle'
+export { default as VideoSupportIcon } from './VideoSupportIcon'
diff --git a/web/app/components/base/icons/src/vender/workflow/Agent.json b/web/app/components/base/icons/src/vender/workflow/Agent.json
new file mode 100644
index 0000000000..e7ed19369b
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/workflow/Agent.json
@@ -0,0 +1,53 @@
+{
+	"icon": {
+		"type": "element",
+		"isRootNode": true,
+		"name": "svg",
+		"attributes": {
+			"width": "16",
+			"height": "16",
+			"viewBox": "0 0 16 16",
+			"fill": "none",
+			"xmlns": "http://www.w3.org/2000/svg"
+		},
+		"children": [
+			{
+				"type": "element",
+				"name": "g",
+				"attributes": {
+					"id": "agent"
+				},
+				"children": [
+					{
+						"type": "element",
+						"name": "g",
+						"attributes": {
+							"id": "Vector"
+						},
+						"children": [
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"d": "M14.7401 5.80454C14.5765 4.77996 14.1638 3.79808 13.5306 2.97273C12.8973 2.14738 12.0648 1.48568 11.1185 1.06589C10.1722 0.646098 9.12632 0.461106 8.08751 0.546487C7.05582 0.624753 6.04548 0.966277 5.17744 1.53548C4.3094 2.09758 3.58366 2.88024 3.09272 3.79808C2.59466 4.70881 2.33852 5.7405 2.33852 6.7793V7.22756L1.25703 9.3692C1.04357 9.80322 1.22145 10.3368 1.65547 10.5574L2.3314 10.8989V12.3006C2.3314 12.82 2.53063 13.3038 2.90061 13.6738C3.2706 14.0367 3.75442 14.243 4.27382 14.243H6.01702V14.7624C6.01702 15.1538 6.3372 15.4739 6.72853 15.4739C7.11986 15.4739 7.44004 15.1538 7.44004 14.7624V13.7094C7.44004 13.2185 7.04159 12.82 6.55065 12.82H4.27382C4.13864 12.82 4.00345 12.7631 3.91095 12.6706C3.81846 12.5781 3.76154 12.4429 3.76154 12.3077V10.5716C3.76154 10.2301 3.56943 9.92417 3.2706 9.77476L2.77254 9.52573L3.66904 7.73984C3.72596 7.61889 3.76154 7.4837 3.76154 7.34851V6.77219C3.76154 5.96818 3.96076 5.17129 4.34498 4.4669C4.72919 3.76251 5.28417 3.15772 5.9601 2.7237C6.63603 2.28968 7.41158 2.02643 8.20847 1.96239C9.00536 1.89835 9.81648 2.04066 10.5493 2.36795C11.2822 2.69524 11.9225 3.20042 12.4135 3.84077C12.8973 4.47402 13.2246 5.23533 13.3456 6.02511C13.4665 6.81488 13.3954 7.63312 13.125 8.38731C12.8617 9.12017 12.4206 9.78187 11.8585 10.3084C11.6735 10.4792 11.5668 10.7139 11.5668 10.9701V14.7624C11.5668 15.1538 11.887 15.4739 12.2783 15.4739C12.6696 15.4739 12.9898 15.1538 12.9898 14.7624V11.1978C13.6515 10.5432 14.1567 9.73918 14.4697 8.87114C14.8184 7.89637 14.918 6.83623 14.7615 5.81165L14.7401 5.80454Z",
+									"fill": "currentColor"
+								},
+								"children": []
+							},
+							{
+								"type": "element",
+								"name": "path",
+								"attributes": {
+									"d": "M10.8055 7.99599C10.8909 7.83234 10.962 7.66158 11.0189 7.4837H11.6522C12.0435 7.4837 12.3637 7.16352 12.3637 6.77219C12.3637 6.38086 12.0435 6.06068 11.6522 6.06068H11.0189C10.9691 5.8828 10.898 5.71204 10.8055 5.54839L11.2537 5.10014C11.5312 4.82266 11.5312 4.3744 11.2537 4.09692C10.9762 3.81943 10.528 3.81943 10.2505 4.09692L9.80225 4.54517C9.6386 4.45267 9.46784 4.38863 9.28996 4.33171V3.69847C9.28996 3.30714 8.96978 2.98696 8.57845 2.98696C8.18712 2.98696 7.86694 3.30714 7.86694 3.69847V4.33171C7.68907 4.38152 7.5183 4.45267 7.35466 4.54517L6.90641 4.09692C6.62892 3.81943 6.18067 3.81943 5.90318 4.09692C5.62569 4.3744 5.62569 4.82266 5.90318 5.10014L6.35143 5.54839C6.26605 5.71204 6.1949 5.8828 6.13798 6.06068H5.50473C5.1134 6.06068 4.79323 6.38086 4.79323 6.77219C4.79323 7.16352 5.1134 7.4837 5.50473 7.4837H6.13798C6.18778 7.66158 6.25893 7.83234 6.35143 7.99599L5.90318 8.44424C5.62569 8.72172 5.62569 9.16997 5.90318 9.44746C6.04548 9.58976 6.22336 9.6538 6.40835 9.6538C6.59334 9.6538 6.77122 9.58265 6.91352 9.44746L7.36177 8.99921C7.52542 9.08459 7.69618 9.15574 7.87406 9.21267V9.84591C7.87406 10.2372 8.19424 10.5574 8.58557 10.5574C8.9769 10.5574 9.29708 10.2372 9.29708 9.84591V9.21267C9.47496 9.16286 9.64572 9.09171 9.80936 8.99921L10.2576 9.44746C10.3999 9.58976 10.5778 9.6538 10.7628 9.6538C10.9478 9.6538 11.1257 9.58265 11.268 9.44746C11.5454 9.16997 11.5454 8.72172 11.268 8.44424L10.8197 7.99599H10.8055ZM7.44004 6.77219C7.44004 6.14606 7.94521 5.64089 8.57134 5.64089C9.19747 5.64089 9.70264 6.14606 9.70264 6.77219C9.70264 7.39832 9.19747 7.90349 8.57134 7.90349C7.94521 7.90349 7.44004 7.39832 7.44004 6.77219Z",
+									"fill": "currentColor"
+								},
+								"children": []
+							}
+						]
+					}
+				]
+			}
+		]
+	},
+	"name": "Agent"
+}
\ No newline at end of file
diff --git a/web/app/components/base/icons/src/vender/workflow/Agent.tsx b/web/app/components/base/icons/src/vender/workflow/Agent.tsx
new file mode 100644
index 0000000000..e4337d4dbd
--- /dev/null
+++ b/web/app/components/base/icons/src/vender/workflow/Agent.tsx
@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './Agent.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'Agent'
+
+export default Icon
diff --git a/web/app/components/base/icons/src/vender/workflow/index.ts b/web/app/components/base/icons/src/vender/workflow/index.ts
index b2cc7968bb..11ce55b130 100644
--- a/web/app/components/base/icons/src/vender/workflow/index.ts
+++ b/web/app/components/base/icons/src/vender/workflow/index.ts
@@ -1,3 +1,4 @@
+export { default as Agent } from './Agent'
 export { default as Answer } from './Answer'
 export { default as Assigner } from './Assigner'
 export { default as Code } from './Code'
diff --git a/web/app/components/base/image-uploader/image-link-input.tsx b/web/app/components/base/image-uploader/image-link-input.tsx
index 477a76b56d..f15d4f52fe 100644
--- a/web/app/components/base/image-uploader/image-link-input.tsx
+++ b/web/app/components/base/image-uploader/image-link-input.tsx
@@ -33,10 +33,10 @@ const ImageLinkInput: FC<ImageLinkInputProps> = ({
   }
 
   return (
-    <div className='flex items-center pl-1.5 pr-1 h-8 border border-gray-200 bg-white shadow-xs rounded-lg'>
+    <div className='flex items-center pl-1.5 pr-1 h-8 border border-components-panel-border bg-components-panel-bg shadow-xs rounded-lg'>
       <input
         type="text"
-        className='grow mr-0.5 px-1 h-[18px] text-[13px] outline-none appearance-none'
+        className='grow mr-0.5 px-1 h-[18px] text-[13px] text-text-primary bg-transparent outline-none appearance-none'
         value={imageLink}
         onChange={e => setImageLink(e.target.value)}
         placeholder={t('common.imageUploader.pasteImageLinkInputPlaceholder') || ''}
diff --git a/web/app/components/base/image-uploader/image-list.tsx b/web/app/components/base/image-uploader/image-list.tsx
index 35f6149b13..640f986350 100644
--- a/web/app/components/base/image-uploader/image-list.tsx
+++ b/web/app/components/base/image-uploader/image-list.tsx
@@ -119,12 +119,12 @@ const ImageList: FC<ImageListProps> = ({
               type="button"
               className={cn(
                 'absolute z-10 -top-[9px] -right-[9px] items-center justify-center w-[18px] h-[18px]',
-                'bg-white hover:bg-gray-50 border-[0.5px] border-black/2 rounded-2xl shadow-lg',
+                'hover:bg-state-base-hover rounded-2xl shadow-lg',
                 item.progress === -1 ? 'flex' : 'hidden group-hover:flex',
               )}
               onClick={() => onRemove && onRemove(item._id)}
             >
-              <RiCloseLine className="w-3 h-3 text-gray-500" />
+              <RiCloseLine className="w-3 h-3 text-text-tertiary" />
             </button>
           )}
         </div>
diff --git a/web/app/components/base/image-uploader/image-preview.tsx b/web/app/components/base/image-uploader/image-preview.tsx
index 748e6ba8da..1a11c91275 100644
--- a/web/app/components/base/image-uploader/image-preview.tsx
+++ b/web/app/components/base/image-uploader/image-preview.tsx
@@ -7,7 +7,7 @@ import { useHotkeys } from 'react-hotkeys-hook'
 import Tooltip from '@/app/components/base/tooltip'
 import Toast from '@/app/components/base/toast'
 
-type ImagePreviewProps = {
+interface ImagePreviewProps {
   url: string
   title: string
   onCancel: () => void
@@ -99,7 +99,7 @@ const ImagePreview: FC<ImagePreviewProps> = ({
 
     for (let offset = 0; offset < byteCharacters.length; offset += 512) {
       const slice = byteCharacters.slice(offset, offset + 512)
-      const byteNumbers = new Array(slice.length)
+      const byteNumbers = Array.from({ length: slice.length })
       for (let i = 0; i < slice.length; i++)
         byteNumbers[i] = slice.charCodeAt(i)
 
diff --git a/web/app/components/base/image-uploader/text-generation-image-uploader.tsx b/web/app/components/base/image-uploader/text-generation-image-uploader.tsx
index ed82f12415..0a94b6ec8d 100644
--- a/web/app/components/base/image-uploader/text-generation-image-uploader.tsx
+++ b/web/app/components/base/image-uploader/text-generation-image-uploader.tsx
@@ -50,7 +50,7 @@ const PasteImageLinkButton: FC<PasteImageLinkButtonProps> = ({
     >
       <PortalToFollowElemTrigger onClick={handleToggle}>
         <div className={`
-          relative flex items-center justify-center px-3 h-8 bg-gray-100 hover:bg-gray-200 text-xs text-gray-500 rounded-lg
+          relative flex items-center justify-center px-3 h-8 bg-components-option-card-option-bg hover:bg-components-option-card-option-bg-hover text-xs text-text-tertiary rounded-lg
           ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'}
         `}>
           <Link03 className='mr-2 w-4 h-4' />
@@ -58,7 +58,7 @@ const PasteImageLinkButton: FC<PasteImageLinkButtonProps> = ({
         </div>
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='z-10'>
-        <div className='p-2 w-[320px] bg-white border-[0.5px] border-gray-200 rounded-lg shadow-lg'>
+        <div className='p-2 w-[320px] bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-lg shadow-lg'>
           <ImageLinkInput onUpload={handleUpload} />
         </div>
       </PortalToFollowElemContent>
@@ -98,9 +98,9 @@ const TextGenerationImageUploader: FC<TextGenerationImageUploaderProps> = ({
       {
         hovering => (
           <div className={`
-            flex items-center justify-center px-3 h-8 bg-gray-100
-            text-xs text-gray-500 rounded-lg cursor-pointer
-            ${hovering && 'bg-gray-200'}
+            flex items-center justify-center px-3 h-8 bg-components-option-card-option-bg 
+            text-xs text-text-tertiary rounded-lg cursor-pointer
+            ${hovering && 'bg-components-option-card-option-bg-hover'}
           `}>
             <ImagePlus className='mr-2 w-4 h-4' />
             {t('common.imageUploader.uploadFromComputer')}
diff --git a/web/app/components/base/install-button/index.tsx b/web/app/components/base/install-button/index.tsx
new file mode 100644
index 0000000000..848183780c
--- /dev/null
+++ b/web/app/components/base/install-button/index.tsx
@@ -0,0 +1,27 @@
+import Button from '../button'
+import { RiInstallLine, RiLoader2Line } from '@remixicon/react'
+
+type InstallButtonProps = {
+  loading: boolean
+  onInstall: (e: React.MouseEvent) => void
+  t: any
+}
+
+const InstallButton = ({ loading, onInstall, t }: InstallButtonProps) => {
+  return (
+    <Button size='small' className='z-[100]' onClick={onInstall}>
+      <div className={`flex px-[3px] justify-center items-center gap-1 
+        ${loading ? 'text-components-button-secondary-text-disabled' : 'text-components-button-secondary-text'} 
+        system-xs-medium`}
+      >
+        {loading ? t('workflow.nodes.agent.pluginInstaller.installing') : t('workflow.nodes.agent.pluginInstaller.install')}
+      </div>
+      {loading
+        ? <RiLoader2Line className='w-3.5 h-3.5 text-text-quaternary animate-spin' />
+        : <RiInstallLine className='w-3.5 h-3.5 text-text-secondary' />
+      }
+    </Button>
+  )
+}
+
+export default InstallButton
diff --git a/web/app/components/base/list-empty/index.tsx b/web/app/components/base/list-empty/index.tsx
index e925878bc1..c295ffbaec 100644
--- a/web/app/components/base/list-empty/index.tsx
+++ b/web/app/components/base/list-empty/index.tsx
@@ -1,3 +1,4 @@
+import type { ReactNode } from 'react'
 import React from 'react'
 import { Variable02 } from '../icons/src/vender/solid/development'
 import VerticalLine from './vertical-line'
@@ -5,19 +6,21 @@ import HorizontalLine from './horizontal-line'
 
 type ListEmptyProps = {
   title?: string
-  description?: React.ReactNode
+  description?: ReactNode
+  icon?: ReactNode
 }
 
 const ListEmpty = ({
   title,
   description,
+  icon,
 }: ListEmptyProps) => {
   return (
     <div className='flex w-[320px] p-4 flex-col items-start gap-2 rounded-[10px] bg-workflow-process-bg'>
       <div className='flex w-10 h-10 justify-center items-center gap-2 rounded-[10px]'>
         <div className='flex relative p-1 justify-center items-center gap-2 grow self-stretch rounded-[10px]
           border-[0.5px] border-components-card-border bg-components-card-bg shadow-lg'>
-          <Variable02 className='w-5 h-5 shrink-0 text-text-accent' />
+          {icon || <Variable02 className='w-5 h-5 shrink-0 text-text-accent' />}
           <VerticalLine className='absolute -right-[1px] top-1/2 -translate-y-1/4'/>
           <VerticalLine className='absolute -left-[1px] top-1/2 -translate-y-1/4'/>
           <HorizontalLine className='absolute top-0 left-3/4 -translate-x-1/4 -translate-y-1/2'/>
diff --git a/web/app/components/base/logo/logo-site.tsx b/web/app/components/base/logo/logo-site.tsx
index a399ff3301..4b0e026afd 100644
--- a/web/app/components/base/logo/logo-site.tsx
+++ b/web/app/components/base/logo/logo-site.tsx
@@ -1,7 +1,6 @@
 'use client'
 import type { FC } from 'react'
 import classNames from '@/utils/classnames'
-import { useSelector } from '@/context/app-context'
 
 type LogoSiteProps = {
   className?: string
@@ -10,17 +9,10 @@ type LogoSiteProps = {
 const LogoSite: FC<LogoSiteProps> = ({
   className,
 }) => {
-  const { theme } = useSelector((s) => {
-    return {
-      theme: s.theme,
-    }
-  })
-
-  const src = theme === 'light' ? '/logo/logo-site.png' : `/logo/logo-site-${theme}.png`
   return (
     <img
-      src={src}
-      className={classNames('block w-auto h-10', className)}
+      src={'/logo/logo.png'}
+      className={classNames('block w-[22.651px] h-[24.5px]', className)}
       alt='logo'
     />
   )
diff --git a/web/app/components/base/markdown-blocks/think-block.tsx b/web/app/components/base/markdown-blocks/think-block.tsx
index fbe453db86..b68aff293d 100644
--- a/web/app/components/base/markdown-blocks/think-block.tsx
+++ b/web/app/components/base/markdown-blocks/think-block.tsx
@@ -71,9 +71,9 @@ export const ThinkBlock = ({ children, ...props }: any) => {
   return (
     <details {...(!isComplete && { open: true })} className="group">
       <summary className="text-gray-500 font-bold list-none pl-2 flex items-center cursor-pointer select-none whitespace-nowrap">
-        <div className="flex-shrink-0 flex items-center">
+        <div className="shrink-0 flex items-center">
           <svg
-            className="w-3 h-3 mr-2 transform transition-transform duration-500 group-open:rotate-90"
+            className="w-3 h-3 mr-2 transition-transform duration-500 group-open:rotate-90"
             fill="none"
             stroke="currentColor"
             viewBox="0 0 24 24"
diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx
index fc2e4184db..d21277cbb1 100644
--- a/web/app/components/base/markdown.tsx
+++ b/web/app/components/base/markdown.tsx
@@ -1,3 +1,4 @@
+import type { Components } from 'react-markdown'
 import ReactMarkdown from 'react-markdown'
 import ReactEcharts from 'echarts-for-react'
 import 'katex/dist/katex.min.css'
@@ -8,8 +9,7 @@ import RemarkGfm from 'remark-gfm'
 import RehypeRaw from 'rehype-raw'
 import SyntaxHighlighter from 'react-syntax-highlighter'
 import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs'
-import { Component, memo, useMemo, useRef, useState } from 'react'
-import type { CodeComponent } from 'react-markdown/lib/ast-to-react'
+import { Component, createContext, memo, useContext, useMemo, useRef, useState } from 'react'
 import { flow } from 'lodash/fp'
 import cn from '@/utils/classnames'
 import CopyBtn from '@/app/components/base/copy-btn'
@@ -22,7 +22,7 @@ import AudioGallery from '@/app/components/base/audio-gallery'
 import SVGRenderer from '@/app/components/base/svg-gallery'
 import MarkdownButton from '@/app/components/base/markdown-blocks/button'
 import MarkdownForm from '@/app/components/base/markdown-blocks/form'
-import ThinkBlock from '@/app/components/base/markdown-blocks/think-block'
+import type { ElementContentMap } from 'hast'
 
 // Available language https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_HLJS.MD
 const capitalizationLanguageNameMap: Record<string, string> = {
@@ -57,7 +57,7 @@ const getCorrectCapitalizationLanguageName = (language: string) => {
   return language.charAt(0).toUpperCase() + language.substring(1)
 }
 
-const preprocessLaTeX = (content: string) => {
+const preprocessLaTeX = (content?: string) => {
   if (typeof content !== 'string')
     return content
 
@@ -91,6 +91,20 @@ export function PreCode(props: { children: any }) {
   )
 }
 
+const PreContext = createContext({
+  // if children not in PreContext, just leave inline true
+  inline: true,
+})
+
+const PreBlock: Components['pre'] = (props) => {
+  const { ...rest } = props
+  return <PreContext.Provider value={{
+    inline: false,
+  }}>
+    <pre {...rest} />
+  </PreContext.Provider>
+}
+
 // **Add code block
 // Avoid error #185 (Maximum update depth exceeded.
 // This can happen when a component repeatedly calls setState inside componentWillUpdate or componentDidUpdate.
@@ -104,7 +118,8 @@ export function PreCode(props: { children: any }) {
 // visit https://reactjs.org/docs/error-decoder.html?invariant=185 for the full message
 // or use the non-minified dev environment for full errors and additional helpful warnings.
 
-const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props }) => {
+const CodeBlock: Components['code'] = memo(({ className, children, ...props }) => {
+  const { inline } = useContext(PreContext)
   const [isSVG, setIsSVG] = useState(true)
   const match = /language-(\w+)/.exec(className || '')
   const language = match?.[1]
@@ -143,7 +158,7 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props }
     else {
       return (
         <SyntaxHighlighter
-          {...props}
+          {...props as any}
           style={atelierHeathLight}
           customStyle={{
             paddingLeft: 12,
@@ -184,23 +199,23 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props }
     </div>
   )
 })
-CodeBlock.displayName = 'CodeBlock'
+// CodeBlock.displayName = 'CodeBlock'
 
-const VideoBlock: CodeComponent = memo(({ node }) => {
-  const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
+const VideoBlock: Components['video'] = memo(({ node }) => {
+  const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
   if (srcs.length === 0)
     return null
   return <VideoGallery key={srcs.join()} srcs={srcs} />
 })
-VideoBlock.displayName = 'VideoBlock'
+// VideoBlock.displayName = 'VideoBlock'
 
-const AudioBlock: CodeComponent = memo(({ node }) => {
-  const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
+const AudioBlock: Components['audio'] = memo(({ node }) => {
+  const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
   if (srcs.length === 0)
     return null
   return <AudioGallery key={srcs.join()} srcs={srcs} />
 })
-AudioBlock.displayName = 'AudioBlock'
+// AudioBlock.displayName = 'AudioBlock'
 
 const ScriptBlock = memo(({ node }: any) => {
   const scriptContent = node.children[0]?.value || ''
@@ -208,34 +223,32 @@ const ScriptBlock = memo(({ node }: any) => {
 })
 ScriptBlock.displayName = 'ScriptBlock'
 
-const Paragraph = (paragraph: any) => {
-  const { node }: any = paragraph
-  const children_node = node.children
-  if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img') {
-    return (
-      <>
-        <ImageGallery srcs={[children_node[0].properties.src]} />
-        <p>{paragraph.children.slice(1)}</p>
-      </>
-    )
-  }
-  return <p>{paragraph.children}</p>
+const Paragraph: Components['p'] = ({ node, children }) => {
+  const children_node = node!.children
+  if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img')
+    return <ImageGallery srcs={[children_node?.[0]?.properties?.src as string]} />
+  return <p>{children}</p>
 }
 
-const Img = ({ src }: any) => {
-  return (<ImageGallery srcs={[src]} />)
+const Img: Components['img'] = ({ src }) => {
+  return (<ImageGallery srcs={[src!]} />)
 }
 
-const Link = ({ node, ...props }: any) => {
-  if (node.properties?.href && node.properties.href?.toString().startsWith('abbr')) {
+const Link: Components['a'] = ({ node, ...props }) => {
+  if (node!.properties?.href && node!.properties.href?.toString().startsWith('abbr')) {
     // eslint-disable-next-line react-hooks/rules-of-hooks
     const { onSend } = useChatContext()
-    const hidden_text = decodeURIComponent(node.properties.href.toString().split('abbr:')[1])
-
-    return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={node.children[0]?.value}>{node.children[0]?.value}</abbr>
+    const hidden_text = decodeURIComponent(node!.properties.href.toString().split('abbr:')[1])
+    const title = (node!.children[0] as ElementContentMap['text'])?.value
+    return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={title}>{title}</abbr>
   }
   else {
-    return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{node.children[0] ? node.children[0]?.value : 'Download'}</a>
+    const firstChild = node?.children?.[0] as ElementContentMap['text'] | undefined
+    return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{
+      firstChild
+        ? firstChild.value
+        : 'Download'
+    }</a>
   }
 }
 
@@ -245,7 +258,7 @@ export function Markdown(props: { content: string; className?: string }) {
     preprocessLaTeX,
   ])(props.content)
   return (
-    <div className={cn(props.className, 'markdown-body')}>
+    <div className={cn('markdown-body', props.className)}>
       <ReactMarkdown
         remarkPlugins={[
           RemarkGfm,
@@ -271,6 +284,7 @@ export function Markdown(props: { content: string; className?: string }) {
         ]}
         disallowedElements={['iframe', 'head', 'html', 'meta', 'link', 'style', 'body']}
         components={{
+          pre: PreBlock,
           code: CodeBlock,
           img: Img,
           video: VideoBlock,
@@ -282,7 +296,6 @@ export function Markdown(props: { content: string; className?: string }) {
           script: ScriptBlock,
           details: ThinkBlock,
         }}
-        linkTarget='_blank'
       >
         {/* Markdown detect has problem. */}
         {latexContent}
@@ -307,11 +320,11 @@ export default class ErrorBoundary extends Component {
   }
 
   render() {
-    // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+    // eslint-disable-next-line ts/ban-ts-comment
     // @ts-expect-error
     if (this.state.hasError)
       return <div>Oops! An error occurred. This could be due to an ECharts runtime error or invalid SVG content. <br />(see the browser console for more information)</div>
-    // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+    // eslint-disable-next-line ts/ban-ts-comment
     // @ts-expect-error
     return this.props.children
   }
diff --git a/web/app/components/base/mermaid/index.tsx b/web/app/components/base/mermaid/index.tsx
index bcc30ca939..af5c010ac2 100644
--- a/web/app/components/base/mermaid/index.tsx
+++ b/web/app/components/base/mermaid/index.tsx
@@ -33,7 +33,7 @@ const Flowchart = React.forwardRef((props: {
 
   const prevPrimitiveCode = usePrevious(props.PrimitiveCode)
   const [isLoading, setIsLoading] = useState(true)
-  const timeRef = useRef<NodeJS.Timeout>()
+  const timeRef = useRef<number>()
   const [errMsg, setErrMsg] = useState('')
   const [imagePreviewUrl, setImagePreviewUrl] = useState('')
 
@@ -75,15 +75,15 @@ const Flowchart = React.forwardRef((props: {
 
   useEffect(() => {
     if (timeRef.current)
-      clearTimeout(timeRef.current)
+      window.clearTimeout(timeRef.current)
 
-    timeRef.current = setTimeout(() => {
+    timeRef.current = window.setTimeout(() => {
       renderFlowchart(props.PrimitiveCode)
     }, 300)
   }, [props.PrimitiveCode])
 
   return (
-    // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+    // eslint-disable-next-line ts/ban-ts-comment
     // @ts-expect-error
     <div ref={ref}>
       <div className="msh-segmented msh-segmented-sm css-23bs09 css-var-r1">
@@ -136,4 +136,6 @@ const Flowchart = React.forwardRef((props: {
   )
 })
 
+Flowchart.displayName = 'Flowchart'
+
 export default Flowchart
diff --git a/web/app/components/base/message-log-modal/index.tsx b/web/app/components/base/message-log-modal/index.tsx
index 7bbd3f311d..13667f1dc7 100644
--- a/web/app/components/base/message-log-modal/index.tsx
+++ b/web/app/components/base/message-log-modal/index.tsx
@@ -7,7 +7,7 @@ import cn from '@/utils/classnames'
 import type { IChatItem } from '@/app/components/base/chat/chat/type'
 import Run from '@/app/components/workflow/run'
 
-type MessageLogModalProps = {
+interface MessageLogModalProps {
   currentLogItem?: IChatItem
   defaultTab?: string
   width: number
diff --git a/web/app/components/base/modal/index.tsx b/web/app/components/base/modal/index.tsx
index 26cde5fce3..a659ccaac7 100644
--- a/web/app/components/base/modal/index.tsx
+++ b/web/app/components/base/modal/index.tsx
@@ -29,7 +29,7 @@ export default function Modal({
 }: IModal) {
   return (
     <Transition appear show={isShow} as={Fragment}>
-      <Dialog as="div" className={classNames('relative z-50', wrapperClassName)} onClose={onClose}>
+      <Dialog as="div" className={classNames('relative z-[60]', wrapperClassName)} onClose={onClose}>
         <Transition.Child
           as={Fragment}
           enter="ease-out duration-300"
diff --git a/web/app/components/base/pagination/hook.ts b/web/app/components/base/pagination/hook.ts
index 6501d6f457..32a2af8013 100644
--- a/web/app/components/base/pagination/hook.ts
+++ b/web/app/components/base/pagination/hook.ts
@@ -10,7 +10,7 @@ const usePagination = ({
   edgePageCount,
   middlePagesSiblingCount,
 }: IPaginationProps): IUsePagination => {
-  const pages = Array(totalPages)
+  const pages = new Array(totalPages)
     .fill(0)
     .map((_, i) => i + 1)
 
diff --git a/web/app/components/base/pagination/index.tsx b/web/app/components/base/pagination/index.tsx
index c0cc9f86ec..ec67040c01 100644
--- a/web/app/components/base/pagination/index.tsx
+++ b/web/app/components/base/pagination/index.tsx
@@ -33,20 +33,20 @@ const CustomizedPagination: FC<Props> = ({
   const [showPerPageTip, setShowPerPageTip] = React.useState(false)
 
   const { run: handlePaging } = useDebounceFn((value: string) => {
-    if (parseInt(value) > totalPages) {
+    if (Number.parseInt(value) > totalPages) {
       setInputValue(totalPages)
       onChange(totalPages - 1)
       setShowInput(false)
       return
     }
-    if (parseInt(value) < 1) {
+    if (Number.parseInt(value) < 1) {
       setInputValue(1)
       onChange(0)
       setShowInput(false)
       return
     }
-    onChange(parseInt(value) - 1)
-    setInputValue(parseInt(value))
+    onChange(Number.parseInt(value) - 1)
+    setInputValue(Number.parseInt(value))
     setShowInput(false)
   }, { wait: 500 })
 
@@ -54,9 +54,9 @@ const CustomizedPagination: FC<Props> = ({
     const value = e.target.value
     if (!value)
       return setInputValue('')
-    if (isNaN(parseInt(value)))
+    if (isNaN(Number.parseInt(value)))
       return setInputValue('')
-    setInputValue(parseInt(value))
+    setInputValue(Number.parseInt(value))
     handlePaging(value)
   }
 
diff --git a/web/app/components/base/popover/index.tsx b/web/app/components/base/popover/index.tsx
index 8fd9906a2b..f510c21642 100644
--- a/web/app/components/base/popover/index.tsx
+++ b/web/app/components/base/popover/index.tsx
@@ -33,15 +33,15 @@ export default function CustomPopover({
   disabled = false,
 }: IPopover) {
   const buttonRef = useRef<HTMLButtonElement>(null)
-  const timeOutRef = useRef<NodeJS.Timeout | null>(null)
+  const timeOutRef = useRef<number | null>(null)
 
   const onMouseEnter = (isOpen: boolean) => {
-    timeOutRef.current && clearTimeout(timeOutRef.current)
+    timeOutRef.current && window.clearTimeout(timeOutRef.current)
     !isOpen && buttonRef.current?.click()
   }
 
   const onMouseLeave = (isOpen: boolean) => {
-    timeOutRef.current = setTimeout(() => {
+    timeOutRef.current = window.setTimeout(() => {
       isOpen && buttonRef.current?.click()
     }, timeoutDuration)
   }
diff --git a/web/app/components/base/portal-to-follow-elem/index.tsx b/web/app/components/base/portal-to-follow-elem/index.tsx
index 4a380e6abd..3d24c6ee99 100644
--- a/web/app/components/base/portal-to-follow-elem/index.tsx
+++ b/web/app/components/base/portal-to-follow-elem/index.tsx
@@ -106,7 +106,7 @@ export function PortalToFollowElem({
 }
 
 export const PortalToFollowElemTrigger = React.forwardRef<
-HTMLElement,
+  HTMLElement,
 React.HTMLProps<HTMLElement> & { asChild?: boolean }
 >(({ children, asChild = false, ...props }, propRef) => {
   const context = usePortalToFollowElemContext()
@@ -141,8 +141,8 @@ React.HTMLProps<HTMLElement> & { asChild?: boolean }
 PortalToFollowElemTrigger.displayName = 'PortalToFollowElemTrigger'
 
 export const PortalToFollowElemContent = React.forwardRef<
-HTMLDivElement,
-React.HTMLProps<HTMLDivElement>
+  HTMLDivElement,
+  React.HTMLProps<HTMLDivElement>
 >(({ style, ...props }, propRef) => {
   const context = usePortalToFollowElemContext()
   const ref = useMergeRefs([context.refs.setFloating, propRef])
diff --git a/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx b/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx
index 5df4894c6b..49f4a056db 100644
--- a/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx
+++ b/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx
@@ -1,4 +1,4 @@
-import type { EditorConfig, NodeKey, SerializedTextNode } from 'lexical'
+import type { EditorConfig, SerializedTextNode } from 'lexical'
 import { $createTextNode, TextNode } from 'lexical'
 
 export class CustomTextNode extends TextNode {
@@ -10,9 +10,9 @@ export class CustomTextNode extends TextNode {
     return new CustomTextNode(node.__text, node.__key)
   }
 
-  constructor(text: string, key?: NodeKey) {
-    super(text, key)
-  }
+  // constructor(text: string, key?: NodeKey) {
+  //   super(text, key)
+  // }
 
   createDOM(config: EditorConfig) {
     const dom = super.createDOM(config)
diff --git a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
index 9dd76fc1fa..e83dd22fd4 100644
--- a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
+++ b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx
@@ -1,7 +1,6 @@
 import type {
   EditorConfig,
   LexicalNode,
-  NodeKey,
   SerializedTextNode,
 } from 'lexical'
 import {
@@ -18,9 +17,9 @@ export class VariableValueBlockNode extends TextNode {
     return new VariableValueBlockNode(node.__text, node.__key)
   }
 
-  constructor(text: string, key?: NodeKey) {
-    super(text, key)
-  }
+  // constructor(text: string, key?: NodeKey) {
+  //   super(text, key)
+  // }
 
   createDOM(config: EditorConfig): HTMLElement {
     const element = super.createDOM(config)
diff --git a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx
index e4154731ba..9fa518218f 100644
--- a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx
+++ b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx
@@ -18,7 +18,7 @@ export class WorkflowVariableBlockNode extends DecoratorNode<JSX.Element> {
   }
 
   static clone(node: WorkflowVariableBlockNode): WorkflowVariableBlockNode {
-    return new WorkflowVariableBlockNode(node.__variables, node.__workflowNodesMap)
+    return new WorkflowVariableBlockNode(node.__variables, node.__workflowNodesMap, node.__key)
   }
 
   isInline(): boolean {
diff --git a/web/app/components/base/prompt-log-modal/card.tsx b/web/app/components/base/prompt-log-modal/card.tsx
index 6c1ea8cf68..6ea944a452 100644
--- a/web/app/components/base/prompt-log-modal/card.tsx
+++ b/web/app/components/base/prompt-log-modal/card.tsx
@@ -12,7 +12,7 @@ const Card: FC<CardProps> = ({
       {
         log.length === 1 && (
           <div className='px-4 py-2'>
-            <div className='whitespace-pre-line text-gray-700'>
+            <div className='whitespace-pre-line text-text-secondary'>
               {log[0].text}
             </div>
           </div>
@@ -23,12 +23,12 @@ const Card: FC<CardProps> = ({
           <div>
             {
               log.map((item, index) => (
-                <div key={index} className='group/card mb-2 px-4 pt-2 pb-4 rounded-xl hover:bg-gray-50 last-of-type:mb-0'>
+                <div key={index} className='group/card mb-2 px-4 pt-2 pb-4 rounded-xl hover:bg-state-base-hover last-of-type:mb-0'>
                   <div className='flex justify-between items-center h-8'>
                     <div className='font-semibold text-[#2D31A6]'>{item.role.toUpperCase()}</div>
                     <CopyFeedbackNew className='hidden w-6 h-6 group-hover/card:block' content={item.text} />
                   </div>
-                  <div className='whitespace-pre-line text-gray-700'>{item.text}</div>
+                  <div className='whitespace-pre-line text-text-secondary'>{item.text}</div>
                 </div>
               ))
             }
diff --git a/web/app/components/base/prompt-log-modal/index.tsx b/web/app/components/base/prompt-log-modal/index.tsx
index 3cf47d8d1a..4de5ab240c 100644
--- a/web/app/components/base/prompt-log-modal/index.tsx
+++ b/web/app/components/base/prompt-log-modal/index.tsx
@@ -33,7 +33,7 @@ const PromptLogModal: FC<PromptLogModalProps> = ({
 
   return (
     <div
-      className='relative flex flex-col bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl z-10'
+      className='relative flex flex-col bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl z-10'
       style={{
         width: 480,
         position: 'fixed',
@@ -43,14 +43,14 @@ const PromptLogModal: FC<PromptLogModalProps> = ({
       }}
       ref={ref}
     >
-      <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'>
-        <div className='text-base font-semibold text-gray-900'>PROMPT LOG</div>
+      <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'>
+        <div className='text-base font-semibold text-text-primary'>PROMPT LOG</div>
         <div className='flex items-center'>
           {
             currentLogItem.log?.length === 1 && (
               <>
                 <CopyFeedbackNew className='w-6 h-6' content={currentLogItem.log[0].text} />
-                <div className='mx-2.5 w-[1px] h-[14px] bg-gray-200' />
+                <div className='mx-2.5 w-[1px] h-[14px] bg-divider-regular' />
               </>
             )
           }
@@ -58,7 +58,7 @@ const PromptLogModal: FC<PromptLogModalProps> = ({
             onClick={onCancel}
             className='flex justify-center items-center w-6 h-6 cursor-pointer'
           >
-            <RiCloseLine className='w-4 h-4 text-gray-500' />
+            <RiCloseLine className='w-4 h-4 text-text-tertiary' />
           </div>
         </div>
       </div>
diff --git a/web/app/components/base/qrcode/index.tsx b/web/app/components/base/qrcode/index.tsx
index 75d4831db7..711df2de2d 100644
--- a/web/app/components/base/qrcode/index.tsx
+++ b/web/app/components/base/qrcode/index.tsx
@@ -1,19 +1,20 @@
 'use client'
 import React, { useEffect, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import { QRCodeSVG } from 'qrcode.react'
-import QrcodeStyle from './style.module.css'
+import {
+  RiQrCodeLine,
+} from '@remixicon/react'
+import { QRCodeCanvas as QRCode } from 'qrcode.react'
+import ActionButton from '@/app/components/base/action-button'
 import Tooltip from '@/app/components/base/tooltip'
 
 type Props = {
   content: string
-  selectorId: string
-  className?: string
 }
 
 const prefixEmbedded = 'appOverview.overview.appInfo.qrcode.title'
 
-const ShareQRCode = ({ content, selectorId, className }: Props) => {
+const ShareQRCode = ({ content }: Props) => {
   const { t } = useTranslation()
   const [isShow, setIsShow] = useState<boolean>(false)
   const qrCodeRef = useRef<HTMLDivElement>(null)
@@ -53,22 +54,21 @@ const ShareQRCode = ({ content, selectorId, className }: Props) => {
     <Tooltip
       popupContent={t(`${prefixEmbedded}`) || ''}
     >
-      <div
-        className={`w-8 h-8 cursor-pointer rounded-lg relative ${className ?? ''}`}
-        onClick={toggleQRCode}
-      >
-        <div className={`w-full h-full ${QrcodeStyle.QrcodeIcon} ${isShow ? QrcodeStyle.show : ''}`} />
+      <div className='relative w-6 h-6' onClick={toggleQRCode}>
+        <ActionButton>
+          <RiQrCodeLine className='w-4 h-4' />
+        </ActionButton>
         {isShow && (
           <div
             ref={qrCodeRef}
-            className={`${QrcodeStyle.qrcodeform} !absolute right-0 top-0`}
+            className='absolute top-8 -right-8 z-10 w-[232px] flex flex-col items-center bg-components-panel-bg shadow-xs rounded-lg p-4'
             onClick={handlePanelClick}
           >
-            <QRCodeSVG size={160} value={content} className={QrcodeStyle.qrcodeimage}/>
-            <div className={QrcodeStyle.text}>
-              <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>{t('appOverview.overview.appInfo.qrcode.scan')}</div>
-              <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>·</div>
-              <div className={QrcodeStyle.download} onClick={downloadQR}>{t('appOverview.overview.appInfo.qrcode.download')}</div>
+            <QRCode size={160} value={content} className='mb-2' />
+            <div className='flex items-center system-xs-regular'>
+              <div className='text-text-tertiary'>{t('appOverview.overview.appInfo.qrcode.scan')}</div>
+              <div className='text-text-tertiary'>·</div>
+              <div className='text-text-accent-secondary cursor-pointer' onClick={downloadQR}>{t('appOverview.overview.appInfo.qrcode.download')}</div>
             </div>
           </div>
         )}
diff --git a/web/app/components/base/qrcode/style.module.css b/web/app/components/base/qrcode/style.module.css
deleted file mode 100644
index b0c4441e99..0000000000
--- a/web/app/components/base/qrcode/style.module.css
+++ /dev/null
@@ -1,61 +0,0 @@
-.QrcodeIcon {
-  background-image: url(~@/app/components/develop/secret-key/assets/qrcode.svg);
-  background-position: center;
-  background-repeat: no-repeat;
-}
-
-.QrcodeIcon:hover {
-  background-image: url(~@/app/components/develop/secret-key/assets/qrcode-hover.svg);
-  background-position: center;
-  background-repeat: no-repeat;
-}
-
-.QrcodeIcon.show {
-  background-image: url(~@/app/components/develop/secret-key/assets/qrcode-hover.svg);
-  background-position: center;
-  background-repeat: no-repeat;
-}
-
-.qrcodeimage {
-  position: relative;
-  object-fit: cover;
-}
-.scan {
-  margin: 0;
-  line-height: 1rem;
-  font-size: 0.75rem;
-}
-.download {
-  position: relative;
-  color: #155eef;
-  font-size: 0.75rem;
-  line-height: 1rem;
-}
-.text {
-  align-self: stretch;
-  display: flex;
-  flex-direction: row;
-  align-items: center;
-  justify-content: center;
-  white-space: nowrap;
-  gap: 4px;
-}
-.qrcodeform {
-  border: 0.5px solid #eaecf0;
-  display: flex;
-  flex-direction: column;
-  margin: 0 !important;
-  margin-top: 4px !important;
-  margin-left: -75px !important;
-  width: fit-content;
-  position: relative;
-  border-radius: 8px;
-  background-color: #fff;
-  box-shadow: 0 12px 16px -4px rgba(16, 24, 40, 0.08),
-    0 4px 6px -2px rgba(16, 24, 40, 0.03);
-  overflow: hidden;
-  align-items: center;
-  justify-content: center;
-  padding: 15px;
-  gap: 8px;
-}
diff --git a/web/app/components/base/radio/ui.tsx b/web/app/components/base/radio/ui.tsx
index 234560a690..772c3de8b1 100644
--- a/web/app/components/base/radio/ui.tsx
+++ b/web/app/components/base/radio/ui.tsx
@@ -11,7 +11,7 @@ const RadioUI: FC<Props> = ({
   isChecked,
 }) => {
   return (
-    <div className={cn(isChecked ? 'border-[5px] border-[#155eef]' : 'border-[2px] border-gray-200', 'w-4 h-4  rounded-full')}>
+    <div className={cn(isChecked ? 'border-[5px] border-components-radio-border-checked' : 'border-[2px] border-components-radio-border', 'w-4 h-4  rounded-full')}>
     </div>
   )
 }
diff --git a/web/app/components/base/select/index.tsx b/web/app/components/base/select/index.tsx
index 221d70355f..9ad964f79d 100644
--- a/web/app/components/base/select/index.tsx
+++ b/web/app/components/base/select/index.tsx
@@ -3,6 +3,7 @@ import type { FC } from 'react'
 import React, { Fragment, useEffect, useState } from 'react'
 import { Combobox, Listbox, Transition } from '@headlessui/react'
 import { ChevronDownIcon, ChevronUpIcon, XMarkIcon } from '@heroicons/react/20/solid'
+import Badge from '../badge/index'
 import { RiCheckLine } from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
 import classNames from '@/utils/classnames'
@@ -58,7 +59,7 @@ const Select: FC<ISelectProps> = ({
   disabled = false,
   onSelect,
   allowSearch = true,
-  bgClassName = 'bg-gray-100',
+  bgClassName = 'bg-components-input-bg-normal',
   overlayClassName,
   optionClassName,
   renderOption,
@@ -98,10 +99,10 @@ const Select: FC<ISelectProps> = ({
         }
       }}>
       <div className={classNames('relative')}>
-        <div className='group text-gray-800'>
+        <div className='group text-text-secondary'>
           {allowSearch
             ? <Combobox.Input
-              className={`w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'}`}
+              className={`w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'}`}
               onChange={(event) => {
                 if (!disabled)
                   setQuery(event.target.value)
@@ -113,10 +114,10 @@ const Select: FC<ISelectProps> = ({
                 if (!disabled)
                   setOpen(!open)
               }
-            } className={classNames(`flex items-center h-9 w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200`, optionClassName)}>
+            } className={classNames(`flex items-center h-9 w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover`, optionClassName)}>
               <div className='w-0 grow text-left truncate' title={selectedItem?.name}>{selectedItem?.name}</div>
             </Combobox.Button>}
-          <Combobox.Button className="absolute inset-y-0 right-0 flex items-center rounded-r-md px-2 focus:outline-none group-hover:bg-gray-200" onClick={
+          <Combobox.Button className="absolute inset-y-0 right-0 flex items-center rounded-r-md px-2 focus:outline-none" onClick={
             () => {
               if (!disabled)
                 setOpen(!open)
@@ -127,15 +128,15 @@ const Select: FC<ISelectProps> = ({
         </div>
 
         {(filteredItems.length > 0 && open) && (
-          <Combobox.Options className={`absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm ${overlayClassName}`}>
+          <Combobox.Options className={`absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur backdrop-blur-sm py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm ${overlayClassName}`}>
             {filteredItems.map((item: Item) => (
               <Combobox.Option
                 key={item.value}
                 value={item}
                 className={({ active }: { active: boolean }) =>
                   classNames(
-                    'relative cursor-default select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700',
-                    active ? 'bg-gray-100' : '',
+                    'relative cursor-default select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary',
+                    active ? 'bg-state-base-hover' : '',
                     optionClassName,
                   )
                 }
@@ -150,7 +151,7 @@ const Select: FC<ISelectProps> = ({
                           {selected && (
                             <span
                               className={classNames(
-                                'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
+                                'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary',
                               )}
                             >
                               <RiCheckLine className="h-4 w-4" aria-hidden="true" />
@@ -244,7 +245,7 @@ const SimpleSelect: FC<ISelectProps> = ({
             leaveTo="opacity-0"
           >
 
-            <Listbox.Options className={classNames('absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm', optionWrapClassName)}>
+            <Listbox.Options className={classNames('absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur backdrop-blur-sm py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm', optionWrapClassName)}>
               {items.map((item: Item) => (
                 <Listbox.Option
                   key={item.value}
@@ -290,6 +291,7 @@ type PortalSelectProps = {
   onSelect: (value: Item) => void
   items: Item[]
   placeholder?: string
+  installedValue?: string | number
   renderTrigger?: (value?: Item) => JSX.Element | null
   triggerClassName?: string
   triggerClassNameFn?: (open: boolean) => string
@@ -303,6 +305,7 @@ const PortalSelect: FC<PortalSelectProps> = ({
   onSelect,
   items,
   placeholder,
+  installedValue,
   renderTrigger,
   triggerClassName,
   triggerClassNameFn,
@@ -314,7 +317,7 @@ const PortalSelect: FC<PortalSelectProps> = ({
   const { t } = useTranslation()
   const [open, setOpen] = useState(false)
   const localPlaceholder = placeholder || t('common.placeholder.select')
-  const selectedItem = items.find(item => item.value === value)
+  const selectedItem = value ? items.find(item => item.value === value) : undefined
 
   return (
     <PortalToFollowElem
@@ -329,33 +332,34 @@ const PortalSelect: FC<PortalSelectProps> = ({
           : (
             <div
               className={classNames(`
-            flex items-center justify-between px-2.5 h-9 rounded-lg border-0 bg-gray-100 text-sm ${readonly ? 'cursor-not-allowed' : 'cursor-pointer'} 
+            group flex items-center justify-between px-2.5 h-9 rounded-lg border-0 bg-components-input-bg-normal hover:bg-state-base-hover-alt text-sm ${readonly ? 'cursor-not-allowed' : 'cursor-pointer'} 
           `, triggerClassName, triggerClassNameFn?.(open))}
               title={selectedItem?.name}
             >
               <span
                 className={`
               grow truncate
-              ${!selectedItem?.name && 'text-gray-400'}
+              ${!selectedItem?.name && 'text-components-input-text-placeholder'}
             `}
               >
                 {selectedItem?.name ?? localPlaceholder}
               </span>
-              <ChevronDownIcon className='shrink-0 h-4 w-4 text-gray-400' />
+              <div className='mx-0.5'>{installedValue && selectedItem && selectedItem.value !== installedValue && <Badge>{installedValue} {'->'} {selectedItem.value} </Badge>}</div>
+              <ChevronDownIcon className='shrink-0 h-4 w-4 text-text-quaternary group-hover:text-text-secondary' />
             </div>
           )}
 
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className={`z-20 ${popupClassName}`}>
         <div
-          className={classNames('px-1 py-1 max-h-60 overflow-auto rounded-md bg-white text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm', popupInnerClassName)}
+          className={classNames('px-1 py-1 max-h-60 overflow-auto rounded-md text-base shadow-lg border-components-panel-border bg-components-panel-bg border-[0.5px] focus:outline-none sm:text-sm', popupInnerClassName)}
         >
           {items.map((item: Item) => (
             <div
               key={item.value}
               className={`
-                flex items-center justify-between px-2.5 h-9 cursor-pointer rounded-lg hover:bg-gray-100 text-gray-700
-                ${item.value === value && 'bg-gray-100'}
+                flex items-center justify-between px-2.5 h-9 cursor-pointer rounded-lg hover:bg-state-base-hover text-text-secondary
+                ${item.value === value && 'bg-state-base-hover'}
               `}
               title={item.name}
               onClick={() => {
@@ -367,7 +371,10 @@ const PortalSelect: FC<PortalSelectProps> = ({
                 className='w-0 grow truncate'
                 title={item.name}
               >
-                {item.name}
+                <span className='truncate'>{item.name}</span>
+                {item.value === installedValue && (
+                  <Badge uppercase={true} className='shrink-0 ml-1'>INSTALLED</Badge>
+                )}
               </span>
               {!hideChecked && item.value === value && (
                 <RiCheckLine className='shrink-0 h-4 w-4 text-text-accent' />
diff --git a/web/app/components/base/skeleton/index.tsx b/web/app/components/base/skeleton/index.tsx
index a2d4e4da63..41edc26cf9 100644
--- a/web/app/components/base/skeleton/index.tsx
+++ b/web/app/components/base/skeleton/index.tsx
@@ -24,7 +24,7 @@ export const SkeletonRow: FC<SkeletonProps> = (props) => {
 export const SkeletonRectangle: FC<SkeletonProps> = (props) => {
   const { className, children, ...rest } = props
   return (
-    <div className={classNames('h-2 rounded-sm opacity-20 bg-text-tertiary my-1', className)} {...rest}>
+    <div className={classNames('h-2 rounded-sm opacity-20 bg-text-quaternary my-1', className)} {...rest}>
       {children}
     </div>
   )
diff --git a/web/app/components/base/sort/index.tsx b/web/app/components/base/sort/index.tsx
index 36f1fdfdf7..5b30a0edb8 100644
--- a/web/app/components/base/sort/index.tsx
+++ b/web/app/components/base/sort/index.tsx
@@ -14,7 +14,7 @@ export type Item = {
   name: string
 } & Record<string, any>
 
-type Props = {
+interface Props {
   order?: string
   value: number | string
   items: Item[]
diff --git a/web/app/components/base/switch/index.tsx b/web/app/components/base/switch/index.tsx
index 48e5c0cd8c..cbff726c76 100644
--- a/web/app/components/base/switch/index.tsx
+++ b/web/app/components/base/switch/index.tsx
@@ -5,7 +5,7 @@ import classNames from '@/utils/classnames'
 
 type SwitchProps = {
   onChange?: (value: boolean) => void
-  size?: 'sm' | 'md' | 'lg' | 'l'
+  size?: 'xs' | 'sm' | 'md' | 'lg' | 'l'
   defaultValue?: boolean
   disabled?: boolean
   className?: string
@@ -23,6 +23,7 @@ const Switch = React.forwardRef(
       l: 'h-5 w-9',
       md: 'h-4 w-7',
       sm: 'h-3 w-5',
+      xs: 'h-2.5 w-3.5',
     }
 
     const circleStyle = {
@@ -30,6 +31,7 @@ const Switch = React.forwardRef(
       l: 'h-4 w-4',
       md: 'h-3 w-3',
       sm: 'h-2 w-2',
+      xs: 'h-1.5 w-1',
     }
 
     const translateLeft = {
@@ -37,6 +39,7 @@ const Switch = React.forwardRef(
       l: 'translate-x-4',
       md: 'translate-x-3',
       sm: 'translate-x-2',
+      xs: 'translate-x-1.5',
     }
     return (
       <OriginalSwitch
@@ -53,6 +56,7 @@ const Switch = React.forwardRef(
           enabled ? 'bg-components-toggle-bg' : 'bg-components-toggle-bg-unchecked',
           'relative inline-flex  flex-shrink-0 cursor-pointer rounded-[5px] border-2 border-transparent transition-colors duration-200 ease-in-out',
           disabled ? '!opacity-50 !cursor-not-allowed' : '',
+          size === 'xs' && 'rounded-sm',
           className,
         )}
       >
@@ -61,6 +65,7 @@ const Switch = React.forwardRef(
           className={classNames(
             circleStyle[size],
             enabled ? translateLeft[size] : 'translate-x-0',
+            size === 'xs' && 'rounded-[1px]',
             'pointer-events-none inline-block transform rounded-[3px] bg-components-toggle-knob shadow ring-0 transition duration-200 ease-in-out',
           )}
         />
diff --git a/web/app/components/base/tab-slider-plain/index.tsx b/web/app/components/base/tab-slider-plain/index.tsx
index a472aba502..22a6c197d8 100644
--- a/web/app/components/base/tab-slider-plain/index.tsx
+++ b/web/app/components/base/tab-slider-plain/index.tsx
@@ -13,26 +13,29 @@ type ItemProps = {
   isActive: boolean
   onClick: (v: string) => void
   option: Option
+  smallItem?: boolean
 }
 const Item: FC<ItemProps> = ({
   className,
   isActive,
   onClick,
   option,
+  smallItem,
 }) => {
   return (
     <div
       key={option.value}
       className={cn(
-        'relative pb-2.5 system-xl-semibold',
+        'relative pb-2.5 ',
         !isActive && 'cursor-pointer',
+        smallItem ? 'system-sm-semibold-uppercase' : 'system-xl-semibold',
         className,
       )}
       onClick={() => !isActive && onClick(option.value)}
     >
       <div className={cn(isActive ? 'text-text-primary' : 'text-text-tertiary')}>{option.text}</div>
       {isActive && (
-        <div className='absolute bottom-0 left-0 right-0 h-0.5 bg-util-colors-blue-blue-500'></div>
+        <div className='absolute bottom-0 left-0 right-0 h-0.5 bg-util-colors-blue-brand-blue-brand-600'></div>
       )}
     </div>
   )
@@ -44,6 +47,7 @@ type Props = {
   onChange: (v: string) => void
   options: Option[]
   noBorderBottom?: boolean
+  smallItem?: boolean
   itemClassName?: string
 }
 
@@ -54,6 +58,7 @@ const TabSlider: FC<Props> = ({
   options,
   noBorderBottom,
   itemClassName,
+  smallItem,
 }) => {
   return (
     <div className={cn(className, !noBorderBottom && 'border-b border-divider-subtle', 'flex  space-x-6')}>
@@ -64,6 +69,7 @@ const TabSlider: FC<Props> = ({
           onClick={onChange}
           key={option.value}
           className={itemClassName}
+          smallItem={smallItem}
         />
       ))}
     </div>
diff --git a/web/app/components/base/tab-slider/index.tsx b/web/app/components/base/tab-slider/index.tsx
index 03296a9dee..1b4e42e0d7 100644
--- a/web/app/components/base/tab-slider/index.tsx
+++ b/web/app/components/base/tab-slider/index.tsx
@@ -1,64 +1,85 @@
 import type { FC } from 'react'
+import { useEffect, useState } from 'react'
 import cn from '@/utils/classnames'
-
+import Badge, { BadgeState } from '@/app/components/base/badge/index'
+import { useInstalledPluginList } from '@/service/use-plugins'
 type Option = {
   value: string
   text: string
 }
+
 type TabSliderProps = {
   className?: string
-  itemWidth?: number
   value: string
   onChange: (v: string) => void
   options: Option[]
 }
+
 const TabSlider: FC<TabSliderProps> = ({
   className,
-  itemWidth = 118,
   value,
   onChange,
   options,
 }) => {
-  const currentIndex = options.findIndex(option => option.value === value)
-  const current = options[currentIndex]
+  const [activeIndex, setActiveIndex] = useState(options.findIndex(option => option.value === value))
+  const [sliderStyle, setSliderStyle] = useState({})
+  const { data: pluginList } = useInstalledPluginList()
+
+  const updateSliderStyle = (index: number) => {
+    const tabElement = document.getElementById(`tab-${index}`)
+    if (tabElement) {
+      const { offsetLeft, offsetWidth } = tabElement
+      setSliderStyle({
+        transform: `translateX(${offsetLeft}px)`,
+        width: `${offsetWidth}px`,
+      })
+    }
+  }
+
+  useEffect(() => {
+    const newIndex = options.findIndex(option => option.value === value)
+    setActiveIndex(newIndex)
+    updateSliderStyle(newIndex)
+  }, [value, options, pluginList])
 
   return (
-    <div className={cn(className, 'relative flex p-0.5 rounded-lg bg-gray-200')}>
-      {
-        options.map((option, index) => (
-          <div
-            key={option.value}
-            className={`
-              flex justify-center items-center h-7 text-[13px] 
-              font-semibold text-gray-600 rounded-[7px] cursor-pointer
-              hover:bg-gray-50
-              ${index !== options.length - 1 && 'mr-[1px]'}
-            `}
-            style={{
-              width: itemWidth,
-            }}
-            onClick={() => onChange(option.value)}
-          >
-            {option.text}
-          </div>
-        ))
-      }
-      {
-        current && (
-          <div
-            className={`
-              absolute flex justify-center items-center h-7 bg-white text-[13px] font-semibold text-primary-600 
-              border-[0.5px] border-gray-200 rounded-[7px] shadow-xs transition-transform
-            `}
-            style={{
-              width: itemWidth,
-              transform: `translateX(${currentIndex * itemWidth + 1}px)`,
-            }}
-          >
-            {current.text}
-          </div>
-        )
-      }
+    <div className={cn(className, 'inline-flex p-0.5 rounded-[10px] bg-components-segmented-control-bg-normal relative items-center justify-center')}>
+      <div
+        className="absolute top-0.5 bottom-0.5 left-0 right-0 bg-components-panel-bg rounded-[10px] transition-transform duration-300 ease-in-out shadows-shadow-xs"
+        style={sliderStyle}
+      />
+      {options.map((option, index) => (
+        <div
+          id={`tab-${index}`}
+          key={option.value}
+          className={cn(
+            'relative flex justify-center items-center px-2.5 py-1.5 gap-1 rounded-[10px] transition-colors duration-300 ease-in-out cursor-pointer z-10',
+            'system-md-semibold',
+            index === activeIndex
+              ? 'text-text-primary'
+              : 'text-text-tertiary',
+          )}
+          onClick={() => {
+            if (index !== activeIndex) {
+              onChange(option.value)
+              updateSliderStyle(index)
+            }
+          }}
+        >
+          {option.text}
+          {/* if no plugin installed, the badge won't show */}
+          {option.value === 'plugins'
+            && (pluginList?.plugins.length ?? 0) > 0
+            && <Badge
+              size='s'
+              uppercase={true}
+              state={BadgeState.Default}
+            >
+              {pluginList?.plugins.length}
+            </Badge>
+          }
+        </div>
+      ))}
     </div>
   )
 }
diff --git a/web/app/components/base/tag-input/index.tsx b/web/app/components/base/tag-input/index.tsx
index ec6c1cee34..e3e5cef732 100644
--- a/web/app/components/base/tag-input/index.tsx
+++ b/web/app/components/base/tag-input/index.tsx
@@ -7,7 +7,7 @@ import { RiAddLine, RiCloseLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
 import { useToastContext } from '@/app/components/base/toast'
 
-type TagInputProps = {
+interface TagInputProps {
   items: string[]
   onChange: (items: string[]) => void
   disableRemove?: boolean
diff --git a/web/app/components/base/tag-management/filter.tsx b/web/app/components/base/tag-management/filter.tsx
index 49a3e7cf4f..00408d3b81 100644
--- a/web/app/components/base/tag-management/filter.tsx
+++ b/web/app/components/base/tag-management/filter.tsx
@@ -18,7 +18,7 @@ import type { Tag } from '@/app/components/base/tag-management/constant'
 
 import { fetchTagList } from '@/service/tag'
 
-type TagFilterProps = {
+interface TagFilterProps {
   type: 'knowledge' | 'app'
   value: string[]
   onChange: (v: string[]) => void
diff --git a/web/app/components/base/tag-management/index.tsx b/web/app/components/base/tag-management/index.tsx
index 1b859db910..26d18ffcf7 100644
--- a/web/app/components/base/tag-management/index.tsx
+++ b/web/app/components/base/tag-management/index.tsx
@@ -30,7 +30,7 @@ const TagManagementModal = ({ show, type }: TagManagementModalProps) => {
     setTagList(res)
   }
 
-  const [pending, setPending] = useState<Boolean>(false)
+  const [pending, setPending] = useState<boolean>(false)
   const [name, setName] = useState<string>('')
   const createNewTag = async () => {
     if (!name)
diff --git a/web/app/components/base/tag-management/selector.tsx b/web/app/components/base/tag-management/selector.tsx
index 68fe7dd2ab..01e9eb162f 100644
--- a/web/app/components/base/tag-management/selector.tsx
+++ b/web/app/components/base/tag-management/selector.tsx
@@ -16,7 +16,7 @@ import Checkbox from '@/app/components/base/checkbox'
 import { bindTag, createTag, fetchTagList, unBindTag } from '@/service/tag'
 import { ToastContext } from '@/app/components/base/toast'
 
-type TagSelectorProps = {
+interface TagSelectorProps {
   targetID: string
   isPopover?: boolean
   position?: 'bl' | 'br'
@@ -54,7 +54,7 @@ const Panel = (props: PanelProps) => {
     return tagList.filter(tag => tag.type === type && !value.includes(tag.id) && tag.name.includes(keywords))
   }, [type, tagList, value, keywords])
 
-  const [creating, setCreating] = useState<Boolean>(false)
+  const [creating, setCreating] = useState<boolean>(false)
   const createNewTag = async () => {
     if (!keywords)
       return
diff --git a/web/app/components/base/tag-management/tag-item-editor.tsx b/web/app/components/base/tag-management/tag-item-editor.tsx
index 3735695302..0605f28cf6 100644
--- a/web/app/components/base/tag-management/tag-item-editor.tsx
+++ b/web/app/components/base/tag-management/tag-item-editor.tsx
@@ -78,7 +78,7 @@ const TagItemEditor: FC<TagItemEditorProps> = ({
     }
   }
   const [showRemoveModal, setShowRemoveModal] = useState(false)
-  const [pending, setPending] = useState<Boolean>(false)
+  const [pending, setPending] = useState<boolean>(false)
   const removeTag = async (tagID: string) => {
     if (pending)
       return
diff --git a/web/app/components/base/text-generation/types.ts b/web/app/components/base/text-generation/types.ts
index e4a8b76abb..87a79f4637 100644
--- a/web/app/components/base/text-generation/types.ts
+++ b/web/app/components/base/text-generation/types.ts
@@ -7,32 +7,32 @@ import type { ExternalDataTool } from '@/models/common'
 export type { VisionFile } from '@/types/app'
 export { TransferMethod } from '@/types/app'
 
-export type UserInputForm = {
+export interface UserInputForm {
   default: string
   label: string
   required: boolean
   variable: string
 }
 
-export type UserInputFormTextInput = {
+export interface UserInputFormTextInput {
   'text-input': UserInputForm & {
     max_length: number
   }
 }
 
-export type UserInputFormSelect = {
-  'select': UserInputForm & {
+export interface UserInputFormSelect {
+  select: UserInputForm & {
     options: string[]
   }
 }
 
-export type UserInputFormParagraph = {
-  'paragraph': UserInputForm
+export interface UserInputFormParagraph {
+  paragraph: UserInputForm
 }
 
 export type VisionConfig = VisionSettings
 
-export type EnableType = {
+export interface EnableType {
   enabled: boolean
 }
 
diff --git a/web/app/components/base/toast/index.tsx b/web/app/components/base/toast/index.tsx
index 3b2004aab3..4526eaafcc 100644
--- a/web/app/components/base/toast/index.tsx
+++ b/web/app/components/base/toast/index.tsx
@@ -51,10 +51,11 @@ const Toast = ({
     'top-0',
     'right-0',
   )}>
-    <div className={`absolute inset-0 opacity-40 -z-10 ${(type === 'success' && 'bg-[linear-gradient(92deg,rgba(23,178,106,0.25)_0%,rgba(255,255,255,0.00)_100%)]')
-      || (type === 'warning' && 'bg-[linear-gradient(92deg,rgba(247,144,9,0.25)_0%,rgba(255,255,255,0.00)_100%)]')
-      || (type === 'error' && 'bg-[linear-gradient(92deg,rgba(240,68,56,0.25)_0%,rgba(255,255,255,0.00)_100%)]')
-      || (type === 'info' && 'bg-[linear-gradient(92deg,rgba(11,165,236,0.25)_0%,rgba(255,255,255,0.00)_100%)]')
+    <div className={`absolute inset-0 opacity-40 ${
+      (type === 'success' && 'bg-toast-success-bg')
+      || (type === 'warning' && 'bg-toast-warning-bg')
+      || (type === 'error' && 'bg-toast-error-bg')
+      || (type === 'info' && 'bg-toast-info-bg')
     }`}
     />
     <div className={`flex ${size === 'md' ? 'gap-1' : 'gap-0.5'}`}>
@@ -64,19 +65,18 @@ const Toast = ({
         {type === 'warning' && <RiAlertFill className={`${size === 'md' ? 'w-5 h-5' : 'w-4 h-4'} text-text-warning-secondary`} aria-hidden="true" />}
         {type === 'info' && <RiInformation2Fill className={`${size === 'md' ? 'w-5 h-5' : 'w-4 h-4'} text-text-accent`} aria-hidden="true" />}
       </div>
-      <div className={`flex py-1 ${size === 'md' ? 'px-1' : 'px-0.5'} flex-col items-start gap-1 flex-grow z-10`}>
-        <div className='flex items-center gap-1'>
-          <div className='text-text-primary system-sm-semibold'>{message}</div>
-          {customComponent}
-        </div>
+      <div className={`flex py-1 ${size === 'md' ? 'px-1' : 'px-0.5'} flex-col items-start gap-1 grow`}>
+        <div className='text-text-primary system-sm-semibold'>{message}</div>
         {children && <div className='text-text-secondary system-xs-regular'>
           {children}
         </div>
         }
       </div>
-      <ActionButton onClick={close}>
-        <RiCloseLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' />
-      </ActionButton>
+      {close
+        && (<ActionButton className='z-[1000]' onClick={close}>
+          <RiCloseLine className='w-4 h-4 shrink-0 text-text-tertiary' />
+        </ActionButton>)
+      }
     </div>
   </div>
 }
diff --git a/web/app/components/base/tooltip/content.tsx b/web/app/components/base/tooltip/content.tsx
new file mode 100644
index 0000000000..fe357ccfa6
--- /dev/null
+++ b/web/app/components/base/tooltip/content.tsx
@@ -0,0 +1,22 @@
+import type { FC, PropsWithChildren, ReactNode } from 'react'
+
+export type ToolTipContentProps = {
+  title?: ReactNode
+  action?: ReactNode
+} & PropsWithChildren
+
+export const ToolTipContent: FC<ToolTipContentProps> = ({
+  title,
+  action,
+  children,
+}) => {
+  return (
+    <div className='w-[180px]'>
+      {title && (
+        <div className='mb-1.5 text-text-secondary font-semibold'>{title}</div>
+      )}
+      <div className='mb-1.5 text-text-tertiary'>{children}</div>
+      {action && <div className='text-text-accent cursor-pointer'>{action}</div>}
+    </div>
+  )
+}
diff --git a/web/app/components/base/video-gallery/index.tsx b/web/app/components/base/video-gallery/index.tsx
index a41dfe8e0a..ae2fab8e6f 100644
--- a/web/app/components/base/video-gallery/index.tsx
+++ b/web/app/components/base/video-gallery/index.tsx
@@ -6,7 +6,7 @@ type Props = {
 }
 
 const VideoGallery: React.FC<Props> = ({ srcs }) => {
-  return (<><br/>{srcs.map((src, index) => (<><br/><VideoPlayer key={`video_${index}`} src={src}/></>))}</>)
+  return (<><br/>{srcs.map((src, index) => (<React.Fragment key={`video_${index}`}><br/><VideoPlayer src={src}/></React.Fragment>))}</>)
 }
 
 export default React.memo(VideoGallery)
diff --git a/web/app/components/billing/header-billing-btn/index.tsx b/web/app/components/billing/header-billing-btn/index.tsx
index a8415524fd..a5bc310d9b 100644
--- a/web/app/components/billing/header-billing-btn/index.tsx
+++ b/web/app/components/billing/header-billing-btn/index.tsx
@@ -7,11 +7,13 @@ import cn from '@/utils/classnames'
 import { useProviderContext } from '@/context/provider-context'
 
 type Props = {
-  onClick: () => void
+  onClick?: () => void
+  isDisplayOnly?: boolean
 }
 
 const HeaderBillingBtn: FC<Props> = ({
   onClick,
+  isDisplayOnly = false,
 }) => {
   const { plan, enableBilling, isFetchedPlan } = useProviderContext()
   const {
@@ -25,9 +27,9 @@ const HeaderBillingBtn: FC<Props> = ({
   })()
   const classNames = (() => {
     if (type === Plan.professional)
-      return 'border-[#E0F2FE] hover:border-[#B9E6FE] bg-[#E0F2FE] text-[#026AA2]'
+      return `border-[#E0F2FE] ${!isDisplayOnly ? 'hover:border-[#B9E6FE]' : ''} bg-[#E0F2FE] text-[#026AA2]`
     if (type === Plan.team)
-      return 'border-[#E0EAFF] hover:border-[#C7D7FE] bg-[#E0EAFF] text-[#3538CD]'
+      return `border-[#E0EAFF] ${!isDisplayOnly ? 'hover:border-[#C7D7FE]' : ''} bg-[#E0EAFF] text-[#3538CD]`
     return ''
   })()
 
@@ -35,10 +37,22 @@ const HeaderBillingBtn: FC<Props> = ({
     return null
 
   if (type === Plan.sandbox)
-    return <UpgradeBtn onClick={onClick} isShort />
+    return <UpgradeBtn onClick={isDisplayOnly ? undefined : onClick} isShort />
+
+  const handleClick = () => {
+    if (!isDisplayOnly && onClick)
+      onClick()
+  }
 
   return (
-    <div onClick={onClick} className={cn(classNames, 'flex items-center h-[22px] px-2 rounded-md border text-xs font-semibold uppercase cursor-pointer')}>
+    <div
+      onClick={handleClick}
+      className={cn(
+        classNames,
+        'flex items-center h-[22px] px-2 rounded-md border text-xs font-semibold uppercase',
+        isDisplayOnly ? 'cursor-default' : 'cursor-pointer',
+      )}
+    >
       {name}
     </div>
   )
diff --git a/web/app/components/billing/upgrade-btn/index.tsx b/web/app/components/billing/upgrade-btn/index.tsx
index d7885d7569..f080e6bbc4 100644
--- a/web/app/components/billing/upgrade-btn/index.tsx
+++ b/web/app/components/billing/upgrade-btn/index.tsx
@@ -2,9 +2,8 @@
 import type { FC } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
-import { GoldCoin } from '../../base/icons/src/vender/solid/FinanceAndECommerce'
-import { Sparkles } from '../../base/icons/src/public/billing'
-import s from './style.module.css'
+import PremiumBadge from '../../base/premium-badge'
+import { SparklesSoft } from '@/app/components/base/icons/src/public/common'
 import cn from '@/utils/classnames'
 import { useModalContext } from '@/context/modal-context'
 
@@ -36,9 +35,7 @@ const PlainBtn = ({ className, onClick }: { className?: string; onClick: () => v
 const UpgradeBtn: FC<Props> = ({
   className,
   isPlain = false,
-  isFull = false,
   isShort = false,
-  size = 'md',
   onClick: _onClick,
   loc,
 }) => {
@@ -63,22 +60,19 @@ const UpgradeBtn: FC<Props> = ({
     return <PlainBtn onClick={onClick} className={className} />
 
   return (
-    <div
-      className={cn(
-        s.upgradeBtn,
-        className,
-        isFull ? 'justify-center' : 'px-3',
-        size === 'lg' ? 'h-10' : 'h-9',
-        'relative flex items-center cursor-pointer border rounded-[20px] border-[#0096EA] text-white',
-      )}
+    <PremiumBadge
+      size="m"
+      color="blue"
+      allowHover={true}
       onClick={onClick}
     >
-      <GoldCoin className='mr-1 w-3.5 h-3.5' />
-      <div className='text-xs font-normal'>{t(`billing.upgradeBtn.${isShort ? 'encourageShort' : 'encourage'}`)}</div>
-      <Sparkles
-        className='absolute -right-1 -top-2  w-4 h-5 bg-cover'
-      />
-    </div>
+      <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
+      <div className='system-xs-medium'>
+        <span className='p-1'>
+          {t(`billing.upgradeBtn.${isShort ? 'encourageShort' : 'encourage'}`)}
+        </span>
+      </div>
+    </PremiumBadge>
   )
 }
 export default React.memo(UpgradeBtn)
diff --git a/web/app/components/datasets/chunk.tsx b/web/app/components/datasets/chunk.tsx
index bf2835dbdb..6f0c334246 100644
--- a/web/app/components/datasets/chunk.tsx
+++ b/web/app/components/datasets/chunk.tsx
@@ -11,15 +11,17 @@ export const ChunkLabel: FC<ChunkLabelProps> = (props) => {
   const { label, characterCount } = props
   return <div className='flex items-center text-text-tertiary text-xs font-medium'>
     <SelectionMod className='size-[10px]' />
-    <p className='flex gap-2 ml-0.5'><span>
-      {label}
-    </span>
-    <span>
+    <p className='flex gap-2 ml-0.5'>
+      <span>
+        {label}
+      </span>
+      <span>
         ·
-    </span>
-    <span>
-      {`${characterCount} characters`}
-    </span></p>
+      </span>
+      <span>
+        {`${characterCount} characters`}
+      </span>
+    </p>
   </div>
 }
 
diff --git a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx
index 7702a70d3f..bce8f072d1 100644
--- a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx
+++ b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx
@@ -12,7 +12,7 @@ import Button from '@/app/components/base/button'
 import { ToastContext } from '@/app/components/base/toast'
 import { createEmptyDataset } from '@/service/datasets'
 
-type IProps = {
+interface IProps {
   show: boolean
   onHide: () => void
 }
diff --git a/web/app/components/datasets/create/index.tsx b/web/app/components/datasets/create/index.tsx
index 9556b9fad5..b1e4087226 100644
--- a/web/app/components/datasets/create/index.tsx
+++ b/web/app/components/datasets/create/index.tsx
@@ -6,7 +6,7 @@ import { ModelTypeEnum } from '../../header/account-setting/model-provider-page/
 import StepOne from './step-one'
 import StepTwo from './step-two'
 import StepThree from './step-three'
-import { Topbar } from './top-bar'
+import { TopBar } from './top-bar'
 import { DataSourceType } from '@/models/datasets'
 import type { CrawlOptions, CrawlResultItem, DataSet, FileItem, createDocumentResponse } from '@/models/datasets'
 import { fetchDataSource } from '@/service/common'
@@ -111,7 +111,7 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => {
           const detail = await fetchDatasetDetail(datasetId)
           setDetail(detail)
         }
-        catch (e) {
+        catch {
           setHasError(true)
         }
       }
@@ -123,7 +123,7 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => {
 
   return (
     <div className='flex flex-col bg-components-panel-bg' style={{ height: 'calc(100vh - 56px)' }}>
-      <Topbar activeIndex={step - 1} />
+      <TopBar activeIndex={step - 1} datasetId={datasetId} />
       <div style={{ height: 'calc(100% - 52px)' }}>
         {step === 1 && <StepOne
           hasConnection={hasConnection}
diff --git a/web/app/components/datasets/create/step-one/index.tsx b/web/app/components/datasets/create/step-one/index.tsx
index 2cca003b39..45dda51795 100644
--- a/web/app/components/datasets/create/step-one/index.tsx
+++ b/web/app/components/datasets/create/step-one/index.tsx
@@ -23,7 +23,7 @@ import classNames from '@/utils/classnames'
 type IStepOneProps = {
   datasetId?: string
   dataSourceType?: DataSourceType
-  dataSourceTypeDisable: Boolean
+  dataSourceTypeDisable: boolean
   hasConnection: boolean
   onSetting: () => void
   files: FileItem[]
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx
index ec9b3a5b42..65a8b474a3 100644
--- a/web/app/components/datasets/create/step-two/index.tsx
+++ b/web/app/components/datasets/create/step-two/index.tsx
@@ -37,7 +37,7 @@ import Button from '@/app/components/base/button'
 import FloatRightContainer from '@/app/components/base/float-right-container'
 import RetrievalMethodConfig from '@/app/components/datasets/common/retrieval-method-config'
 import EconomicalRetrievalMethodConfig from '@/app/components/datasets/common/economical-retrieval-method-config'
-import { type RetrievalConfig } from '@/types/app'
+import type { RetrievalConfig } from '@/types/app'
 import { isReRankModelSelected } from '@/app/components/datasets/common/check-rerank-model'
 import Toast from '@/app/components/base/toast'
 import type { NotionPage } from '@/models/common'
@@ -98,7 +98,7 @@ export enum IndexingType {
 const DEFAULT_SEGMENT_IDENTIFIER = '\\n\\n'
 const DEFAULT_MAXIMUM_CHUNK_LENGTH = 500
 const DEFAULT_OVERLAP = 50
-const MAXIMUM_CHUNK_TOKEN_LENGTH = parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10)
+const MAXIMUM_CHUNK_TOKEN_LENGTH = Number.parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10)
 
 type ParentChildConfig = {
   chunkForContext: ParentMode
@@ -206,7 +206,7 @@ const StepTwo = ({
     if (value === ChunkingMode.parentChild && indexType === IndexingType.ECONOMICAL)
       setIndexType(IndexingType.QUALIFIED)
     setDocForm(value)
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+    // eslint-disable-next-line ts/no-use-before-define
     currentEstimateMutation.reset()
   }
 
@@ -1073,10 +1073,9 @@ const StepTwo = ({
               }
               {
                 currentDocForm !== ChunkingMode.qa
-                && <Badge text={t(
-                  'datasetCreation.stepTwo.previewChunkCount', {
-                    count: estimate?.total_segments || 0,
-                  }) as string}
+                && <Badge text={t('datasetCreation.stepTwo.previewChunkCount', {
+                  count: estimate?.total_segments || 0,
+                }) as string}
                 />
               }
             </div>
diff --git a/web/app/components/datasets/create/step-two/language-select/index.tsx b/web/app/components/datasets/create/step-two/language-select/index.tsx
index 9cbf1a40d1..7730e0539a 100644
--- a/web/app/components/datasets/create/step-two/language-select/index.tsx
+++ b/web/app/components/datasets/create/step-two/language-select/index.tsx
@@ -6,7 +6,7 @@ import cn from '@/utils/classnames'
 import Popover from '@/app/components/base/popover'
 import { languages } from '@/i18n/language'
 
-export type ILanguageSelectProps = {
+export interface ILanguageSelectProps {
   currentLanguage: string
   onSelect: (language: string) => void
   disabled?: boolean
diff --git a/web/app/components/datasets/create/steps-nav-bar/index.module.css b/web/app/components/datasets/create/steps-nav-bar/index.module.css
deleted file mode 100644
index 965b1511fc..0000000000
--- a/web/app/components/datasets/create/steps-nav-bar/index.module.css
+++ /dev/null
@@ -1,107 +0,0 @@
-.stepsHeader {
-  @apply flex items-center px-6 py-6;
-  color: #344054;
-  font-weight: 600;
-  font-size: 14px;
-  line-height: 20px;
-}
-.navBack {
-  @apply box-border flex justify-center items-center mr-3 w-8 h-8 bg-white bg-center bg-no-repeat cursor-pointer hover:border-gray-300;
-  border: 0.5px solid #F2F4F7;
-  box-shadow: 0px 12px 16px -4px rgba(16, 24, 40, 0.08), 0px 4px 6px -2px rgba(16, 24, 40, 0.03);
-  border-radius: 32px;
-  background-image: url(../assets/arrow-narrow-left.svg);
-  background-size: 16px;
-}
-.stepList {
-  @apply p-4 relative;
-  line-height: 18px;
-}
-
-.stepItem {
-  @apply relative flex justify-items-start pt-3 pr-0 pb-3 box-content;
-  padding-left: 52px;
-  font-size: 13px;
-  height: 18px;
-}
-
-.stepItem.step1::before {
-  content: '';
-  position: absolute;
-  bottom: 0;
-  left: 23px;
-  width: 2px;
-  height: 7px;
-  background-color: #f2f4f7;
-}
-
-.stepItem.step2::before {
-  content: '';
-  position: absolute;
-  top: 0;
-  left: 23px;
-  width: 2px;
-  height: 100%;
-  background-color: #f2f4f7;
-}
-.stepItem.step2::after {
-  content: '';
-  position: absolute;
-  top: 6px;
-  left: 23px;
-  width: 2px;
-  height: 28px;
-  background-color: #fff;
-}
-
-.stepItem.step3::before {
-  content: '';
-  position: absolute;
-  top: 0;
-  left: 23px;
-  width: 2px;
-  height: 7px;
-  background-color: #f2f4f7;
-}
-
-.stepNum {
-  @apply box-border absolute top-2 left-3 flex justify-center items-center  w-6 h-6;
-  color: #98a2b3;
-  font-size: 12px;
-  border: 1px solid #F2F4F7;
-  border-radius: 24px;
-  z-index: 1;
-}
-
-.stepName {
-  color: #98a2b3;
-}
-
-.stepItem.active .stepNum {
-  color: #1c64f2;
-  background-color: #EFF4FF;
-  border: none;
-}
-
-.stepItem.active .stepName {
-  color: #1c64f2;
-}
-
-.stepItem.done .stepNum {
-  color: #667085;
-  background-color: #f2f4f7;
-  border: none;
-}
-
-.stepItem.done .stepNum::after {
-  content: '';
-  display: flex;
-  width: 12px;
-  height: 12px;
-  background: center no-repeat url(../assets/check.svg);
-  background-size: 12px;
-}
-
-.stepItem.done .stepName {
-  color: #667085;
-}
diff --git a/web/app/components/datasets/create/steps-nav-bar/index.tsx b/web/app/components/datasets/create/steps-nav-bar/index.tsx
deleted file mode 100644
index b676f3ace4..0000000000
--- a/web/app/components/datasets/create/steps-nav-bar/index.tsx
+++ /dev/null
@@ -1,61 +0,0 @@
-'use client'
-import { useTranslation } from 'react-i18next'
-import { useRouter } from 'next/navigation'
-
-import { useCallback } from 'react'
-import s from './index.module.css'
-import cn from '@/utils/classnames'
-import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
-
-type IStepsNavBarProps = {
-  step: number
-  datasetId?: string
-}
-
-const STEP_T_MAP: Record<number, string> = {
-  1: 'datasetCreation.steps.one',
-  2: 'datasetCreation.steps.two',
-  3: 'datasetCreation.steps.three',
-}
-
-const STEP_LIST = [1, 2, 3]
-
-const StepsNavBar = ({
-  step,
-  datasetId,
-}: IStepsNavBarProps) => {
-  const { t } = useTranslation()
-  const router = useRouter()
-
-  const media = useBreakpoints()
-  const isMobile = media === MediaType.mobile
-
-  const navBackHandle = useCallback(() => {
-    if (!datasetId)
-      router.replace('/datasets')
-    else
-      router.replace(`/datasets/${datasetId}/documents`)
-  }, [router, datasetId])
-
-  return (
-    <div className='w-full pt-4'>
-      <div className={cn(s.stepsHeader, isMobile && '!px-0 justify-center')}>
-        <div onClick={navBackHandle} className={cn(s.navBack, isMobile && '!mr-0')} />
-        {!isMobile && (!datasetId ? t('datasetCreation.steps.header.creation') : t('datasetCreation.steps.header.update'))}
-      </div>
-      <div className={cn(s.stepList, isMobile && '!p-0')}>
-        {STEP_LIST.map(item => (
-          <div
-            key={item}
-            className={cn(s.stepItem, s[`step${item}`], step === item && s.active, step > item && s.done, isMobile && 'px-0')}
-          >
-            <div className={cn(s.stepNum)}>{step > item ? '' : item}</div>
-            <div className={cn(s.stepName)}>{isMobile ? '' : t(STEP_T_MAP[item])}</div>
-          </div>
-        ))}
-      </div>
-    </div>
-  )
-}
-
-export default StepsNavBar
diff --git a/web/app/components/datasets/create/top-bar/index.tsx b/web/app/components/datasets/create/top-bar/index.tsx
index 20ba7158db..8235c4f804 100644
--- a/web/app/components/datasets/create/top-bar/index.tsx
+++ b/web/app/components/datasets/create/top-bar/index.tsx
@@ -1,12 +1,13 @@
-import type { FC } from 'react'
+import { type FC, useMemo } from 'react'
 import { RiArrowLeftLine } from '@remixicon/react'
 import Link from 'next/link'
 import { useTranslation } from 'react-i18next'
 import { Stepper, type StepperProps } from '../stepper'
 import classNames from '@/utils/classnames'
 
-export type TopbarProps = Pick<StepperProps, 'activeIndex'> & {
+export type TopBarProps = Pick<StepperProps, 'activeIndex'> & {
   className?: string
+  datasetId?: string
 }
 
 const STEP_T_MAP: Record<number, string> = {
@@ -15,20 +16,25 @@ const STEP_T_MAP: Record<number, string> = {
   3: 'datasetCreation.steps.three',
 }
 
-export const Topbar: FC<TopbarProps> = (props) => {
-  const { className, ...rest } = props
+export const TopBar: FC<TopBarProps> = (props) => {
+  const { className, datasetId, ...rest } = props
   const { t } = useTranslation()
+
+  const fallbackRoute = useMemo(() => {
+    return datasetId ? `/datasets/${datasetId}/documents` : '/datasets'
+  }, [datasetId])
+
   return <div className={classNames('flex shrink-0 h-[52px] items-center justify-between relative border-b border-b-divider-subtle', className)}>
-    <Link href={'/datasets'} className="h-12 pl-2 pr-6 py-2 justify-start items-center gap-1 inline-flex">
+    <Link href={fallbackRoute} replace className="h-12 pl-2 pr-6 py-2 justify-start items-center gap-1 inline-flex">
       <div className='p-2'>
         <RiArrowLeftLine className='size-4 text-text-primary' />
       </div>
       <p className="text-text-primary system-sm-semibold-uppercase">
-        {t('datasetCreation.steps.header.creation')}
+        {t('datasetCreation.steps.header.fallbackRoute')}
       </p>
     </Link>
     <div className={
-      'top-1/2 left-1/2 transform -translate-x-1/2 -translate-y-1/2 absolute'
+      'top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 absolute'
     }>
       <Stepper
         steps={Array.from({ length: 3 }, (_, i) => ({
diff --git a/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx b/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx
index 25d40fe076..609bce3125 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx
@@ -5,7 +5,7 @@ import cn from '@/utils/classnames'
 import Checkbox from '@/app/components/base/checkbox'
 import Tooltip from '@/app/components/base/tooltip'
 
-type Props = {
+interface Props {
   className?: string
   isChecked: boolean
   onChange: (isChecked: boolean) => void
diff --git a/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx b/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx
index aa337ec4bf..4bd23fa293 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx
@@ -4,7 +4,7 @@ import React from 'react'
 import cn from '@/utils/classnames'
 import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback'
 
-type Props = {
+interface Props {
   className?: string
   title: string
   errorMsg?: string
diff --git a/web/app/components/datasets/create/website/jina-reader/base/field.tsx b/web/app/components/datasets/create/website/jina-reader/base/field.tsx
index 5b5ca90c5d..363a57bdfc 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/field.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/field.tsx
@@ -5,7 +5,7 @@ import Input from './input'
 import cn from '@/utils/classnames'
 import Tooltip from '@/app/components/base/tooltip'
 
-type Props = {
+interface Props {
   className?: string
   label: string
   labelClassName?: string
diff --git a/web/app/components/datasets/create/website/jina-reader/base/input.tsx b/web/app/components/datasets/create/website/jina-reader/base/input.tsx
index 7d2d2b609f..450ef4f721 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/input.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/input.tsx
@@ -2,7 +2,7 @@
 import type { FC } from 'react'
 import React, { useCallback } from 'react'
 
-type Props = {
+interface Props {
   value: string | number
   onChange: (value: string | number) => void
   placeholder?: string
@@ -20,7 +20,7 @@ const Input: FC<Props> = ({
   const handleChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
     const value = e.target.value
     if (isNumber) {
-      let numberValue = parseInt(value, 10) // integer only
+      let numberValue = Number.parseInt(value, 10) // integer only
       if (isNaN(numberValue)) {
         onChange('')
         return
diff --git a/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx b/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx
index 652401a20f..6446948961 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx
@@ -8,7 +8,7 @@ import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
 import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows'
 const I18N_PREFIX = 'datasetCreation.stepOne.website'
 
-type Props = {
+interface Props {
   className?: string
   children: React.ReactNode
   controlFoldOptions?: number
diff --git a/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx b/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx
index e6b0475874..6ed2b9d799 100644
--- a/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx
@@ -7,7 +7,7 @@ import Button from '@/app/components/base/button'
 
 const I18N_PREFIX = 'datasetCreation.stepOne.website'
 
-type Props = {
+interface Props {
   isRunning: boolean
   onRun: (url: string) => void
 }
diff --git a/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx b/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx
index 5531d3e140..4999aeaea6 100644
--- a/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx
@@ -6,7 +6,7 @@ import cn from '@/utils/classnames'
 import type { CrawlResultItem as CrawlResultItemType } from '@/models/datasets'
 import Checkbox from '@/app/components/base/checkbox'
 
-type Props = {
+interface Props {
   payload: CrawlResultItemType
   isChecked: boolean
   isPreview: boolean
diff --git a/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx b/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx
index 2bd51e4d73..1746fe63e3 100644
--- a/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx
@@ -9,7 +9,7 @@ import type { CrawlResultItem } from '@/models/datasets'
 
 const I18N_PREFIX = 'datasetCreation.stepOne.website'
 
-type Props = {
+interface Props {
   className?: string
   list: CrawlResultItem[]
   checkedList: CrawlResultItem[]
diff --git a/web/app/components/datasets/create/website/jina-reader/crawling.tsx b/web/app/components/datasets/create/website/jina-reader/crawling.tsx
index ee26e7671a..b84a938d22 100644
--- a/web/app/components/datasets/create/website/jina-reader/crawling.tsx
+++ b/web/app/components/datasets/create/website/jina-reader/crawling.tsx
@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
 import cn from '@/utils/classnames'
 import { RowStruct } from '@/app/components/base/icons/src/public/other'
 
-type Props = {
+interface Props {
   className?: string
   crawledNum: number
   totalNum: number
diff --git a/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx b/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx
deleted file mode 100644
index 264d62b68a..0000000000
--- a/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx
+++ /dev/null
@@ -1,259 +0,0 @@
-import type { FC } from 'react'
-import React, { useState } from 'react'
-import { ArrowUpRightIcon } from '@heroicons/react/24/outline'
-import { useTranslation } from 'react-i18next'
-import {
-  RiDeleteBinLine,
-} from '@remixicon/react'
-import { StatusItem } from '../../list'
-import style from '../../style.module.css'
-import s from './style.module.css'
-import { SegmentIndexTag } from './common/segment-index-tag'
-import cn from '@/utils/classnames'
-import Confirm from '@/app/components/base/confirm'
-import Switch from '@/app/components/base/switch'
-import Divider from '@/app/components/base/divider'
-import Indicator from '@/app/components/header/indicator'
-import { formatNumber } from '@/utils/format'
-import type { SegmentDetailModel } from '@/models/datasets'
-
-const ProgressBar: FC<{ percent: number; loading: boolean }> = ({ percent, loading }) => {
-  return (
-    <div className={s.progressWrapper}>
-      <div className={cn(s.progress, loading ? s.progressLoading : '')}>
-        <div
-          className={s.progressInner}
-          style={{ width: `${loading ? 0 : (Math.min(percent, 1) * 100).toFixed(2)}%` }}
-        />
-      </div>
-      <div className={loading ? s.progressTextLoading : s.progressText}>{loading ? null : percent.toFixed(2)}</div>
-    </div>
-  )
-}
-
-type DocumentTitleProps = {
-  extension?: string
-  name?: string
-  iconCls?: string
-  textCls?: string
-  wrapperCls?: string
-}
-
-const DocumentTitle: FC<DocumentTitleProps> = ({ extension, name, iconCls, textCls, wrapperCls }) => {
-  const localExtension = extension?.toLowerCase() || name?.split('.')?.pop()?.toLowerCase()
-  return <div className={cn('flex items-center justify-start flex-1', wrapperCls)}>
-    <div className={cn(s[`${localExtension || 'txt'}Icon`], style.titleIcon, iconCls)}></div>
-    <span className={cn('font-semibold text-lg text-gray-900 ml-1', textCls)}> {name || '--'}</span>
-  </div>
-}
-
-export type UsageScene = 'doc' | 'hitTesting'
-
-type ISegmentCardProps = {
-  loading: boolean
-  detail?: SegmentDetailModel & { document: { name: string } }
-  contentExternal?: string
-  refSource?: {
-    title: string
-    uri: string
-  }
-  isExternal?: boolean
-  score?: number
-  onClick?: () => void
-  onChangeSwitch?: (segId: string, enabled: boolean) => Promise<void>
-  onDelete?: (segId: string) => Promise<void>
-  scene?: UsageScene
-  className?: string
-  archived?: boolean
-  embeddingAvailable?: boolean
-}
-
-const SegmentCard: FC<ISegmentCardProps> = ({
-  detail = {},
-  contentExternal,
-  isExternal,
-  refSource,
-  score,
-  onClick,
-  onChangeSwitch,
-  onDelete,
-  loading = true,
-  scene = 'doc',
-  className = '',
-  archived,
-  embeddingAvailable,
-}) => {
-  const { t } = useTranslation()
-  const {
-    id,
-    position,
-    enabled,
-    content,
-    word_count,
-    hit_count,
-    index_node_hash,
-    answer,
-  } = detail as Required<ISegmentCardProps>['detail']
-  const isDocScene = scene === 'doc'
-  const [showModal, setShowModal] = useState(false)
-
-  const renderContent = () => {
-    if (answer) {
-      return (
-        <>
-          <div className='flex mb-2'>
-            <div className='mr-2 text-[13px] font-semibold text-gray-400'>Q</div>
-            <div className='text-[13px]'>{content}</div>
-          </div>
-          <div className='flex'>
-            <div className='mr-2 text-[13px] font-semibold text-gray-400'>A</div>
-            <div className='text-[13px]'>{answer}</div>
-          </div>
-        </>
-      )
-    }
-
-    if (contentExternal)
-      return contentExternal
-
-    return content
-  }
-
-  return (
-    <div
-      className={cn(
-        s.segWrapper,
-        (isDocScene && !enabled) ? 'bg-gray-25' : '',
-        'group',
-        !loading ? 'pb-4 hover:pb-[10px]' : '',
-        className,
-      )}
-      onClick={() => onClick?.()}
-    >
-      <div className={s.segTitleWrapper}>
-        {isDocScene
-          ? <>
-            <SegmentIndexTag positionId={position} className={cn('w-fit group-hover:opacity-100', (isDocScene && !enabled) ? 'opacity-50' : '')} />
-            <div className={s.segStatusWrapper}>
-              {loading
-                ? (
-                  <Indicator
-                    color="gray"
-                    className="bg-gray-200 border-gray-300 shadow-none"
-                  />
-                )
-                : (
-                  <>
-                    <StatusItem status={enabled ? 'enabled' : 'disabled'} reverse textCls="text-gray-500 text-xs" />
-                    {embeddingAvailable && (
-                      <div className="hidden group-hover:inline-flex items-center">
-                        <Divider type="vertical" className="!h-2" />
-                        <div
-                          onClick={(e: React.MouseEvent<HTMLDivElement, MouseEvent>) =>
-                            e.stopPropagation()
-                          }
-                          className="inline-flex items-center"
-                        >
-                          <Switch
-                            size='md'
-                            disabled={archived || detail.status !== 'completed'}
-                            defaultValue={enabled}
-                            onChange={async (val) => {
-                              await onChangeSwitch?.(id, val)
-                            }}
-                          />
-                        </div>
-                      </div>
-                    )}
-                  </>
-                )}
-            </div>
-          </>
-          : (
-            score !== null
-              ? (
-                <div className={s.hitTitleWrapper}>
-                  <div className={cn(s.commonIcon, s.targetIcon, loading ? '!bg-gray-300' : '', '!w-3.5 !h-3.5')} />
-                  <ProgressBar percent={score ?? 0} loading={loading} />
-                </div>
-              )
-              : null
-          )}
-      </div>
-      {loading
-        ? (
-          <div className={cn(s.cardLoadingWrapper, s.cardLoadingIcon)}>
-            <div className={cn(s.cardLoadingBg)} />
-          </div>
-        )
-        : (
-          isDocScene
-            ? <>
-              <div
-                className={cn(
-                  s.segContent,
-                  enabled ? '' : 'opacity-50',
-                  'group-hover:text-transparent group-hover:bg-clip-text group-hover:bg-gradient-to-b',
-                )}
-              >
-                {renderContent()}
-              </div>
-              <div className={cn('group-hover:flex', s.segData)}>
-                <div className="flex items-center mr-6">
-                  <div className={cn(s.commonIcon, s.typeSquareIcon)}></div>
-                  <div className={s.segDataText}>{formatNumber(word_count)}</div>
-                </div>
-                <div className="flex items-center mr-6">
-                  <div className={cn(s.commonIcon, s.targetIcon)} />
-                  <div className={s.segDataText}>{formatNumber(hit_count)}</div>
-                </div>
-                <div className="grow flex items-center">
-                  <div className={cn(s.commonIcon, s.bezierCurveIcon)} />
-                  <div className={s.segDataText}>{index_node_hash}</div>
-                </div>
-                {!archived && embeddingAvailable && (
-                  <div className='shrink-0 w-6 h-6 flex items-center justify-center rounded-md hover:bg-red-100 hover:text-red-600 cursor-pointer group/delete' onClick={(e) => {
-                    e.stopPropagation()
-                    setShowModal(true)
-                  }}>
-                    <RiDeleteBinLine className='w-[14px] h-[14px] text-gray-500 group-hover/delete:text-red-600' />
-                  </div>
-                )}
-              </div>
-            </>
-            : <>
-              <div className="h-[140px] overflow-hidden text-ellipsis text-sm font-normal text-gray-800">
-                {renderContent()}
-              </div>
-              <div className={cn('w-full bg-gray-50 group-hover:bg-white')}>
-                <Divider />
-                <div className="relative flex items-center w-full pb-1">
-                  <DocumentTitle
-                    name={detail?.document?.name || refSource?.title || ''}
-                    extension={(detail?.document?.name || refSource?.title || '').split('.').pop() || 'txt'}
-                    wrapperCls='w-full'
-                    iconCls="!h-4 !w-4 !bg-contain"
-                    textCls="text-xs text-gray-700 !font-normal overflow-hidden whitespace-nowrap text-ellipsis"
-                  />
-                  <div className={cn(s.chartLinkText, 'group-hover:inline-flex')}>
-                    {isExternal ? t('datasetHitTesting.viewDetail') : t('datasetHitTesting.viewChart')}
-                    <ArrowUpRightIcon className="w-3 h-3 ml-1 stroke-current stroke-2" />
-                  </div>
-                </div>
-              </div>
-            </>
-        )}
-      {showModal
-        && <Confirm
-          isShow={showModal}
-          title={t('datasetDocuments.segment.delete')}
-          confirmText={t('common.operation.sure')}
-          onConfirm={async () => { await onDelete?.(id) }}
-          onCancel={() => setShowModal(false)}
-        />
-      }
-    </div>
-  )
-}
-
-export default SegmentCard
diff --git a/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx b/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx
index e6403fa12f..af2989b188 100644
--- a/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx
+++ b/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx
@@ -3,6 +3,7 @@ import type { ComponentProps, FC } from 'react'
 import { useTranslation } from 'react-i18next'
 import { ChunkingMode } from '@/models/datasets'
 import classNames from '@/utils/classnames'
+import { Markdown } from '@/app/components/base/markdown'
 
 type IContentProps = ComponentProps<'textarea'>
 
@@ -52,7 +53,7 @@ const AutoResizeTextArea: FC<IAutoResizeTextAreaProps> = React.memo(({
     if (!textarea)
       return
     textarea.style.height = 'auto'
-    const lineHeight = parseInt(getComputedStyle(textarea).lineHeight)
+    const lineHeight = Number.parseInt(getComputedStyle(textarea).lineHeight)
     const textareaHeight = Math.max(textarea.scrollHeight, lineHeight)
     textarea.style.height = `${textareaHeight}px`
   }, [value])
@@ -175,6 +176,15 @@ const ChunkContent: FC<IChunkContentProps> = ({
     />
   }
 
+  if (!isEditMode) {
+    return (
+      <Markdown
+        className='h-full w-full !text-text-secondary'
+        content={question}
+      />
+    )
+  }
+
   return (
     <Textarea
       className='h-full w-full pb-6 body-md-regular text-text-secondary tracking-[-0.07px] caret-[#295EFF]'
diff --git a/web/app/components/datasets/documents/detail/completed/index.tsx b/web/app/components/datasets/documents/detail/completed/index.tsx
index d4a4f03578..e81d3cf3be 100644
--- a/web/app/components/datasets/documents/detail/completed/index.tsx
+++ b/web/app/components/datasets/documents/detail/completed/index.tsx
@@ -80,7 +80,7 @@ export const useSegmentListContext = (selector: (value: SegmentListContextValue)
   return useContextSelector(SegmentListContext, selector)
 }
 
-type ICompletedProps = {
+interface ICompletedProps {
   embeddingAvailable: boolean
   showNewSegmentModal: boolean
   onNewSegmentModalChange: (state: boolean) => void
diff --git a/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx b/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx
new file mode 100644
index 0000000000..3185110d5f
--- /dev/null
+++ b/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx
@@ -0,0 +1,56 @@
+import React, { type FC } from 'react'
+import cn from '@/utils/classnames'
+import { useSegmentListContext } from '..'
+import { Markdown } from '@/app/components/base/markdown'
+
+type ChunkContentProps = {
+  detail: {
+    answer?: string
+    content: string
+    sign_content: string
+  }
+  isFullDocMode: boolean
+  className?: string
+}
+
+const ChunkContent: FC<ChunkContentProps> = ({
+  detail,
+  isFullDocMode,
+  className,
+}) => {
+  const { answer, content, sign_content } = detail
+  const isCollapsed = useSegmentListContext(s => s.isCollapsed)
+
+  if (answer) {
+    return (
+      <div className={className}>
+        <div className='flex gap-x-1'>
+          <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>Q</div>
+          <div
+            className={cn('text-text-secondary body-md-regular',
+              isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
+            )}>
+            {content}
+          </div>
+        </div>
+        <div className='flex gap-x-1'>
+          <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>A</div>
+          <div className={cn('text-text-secondary body-md-regular',
+            isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
+          )}>
+            {answer}
+          </div>
+        </div>
+      </div>
+    )
+  }
+  return <Markdown
+    className={cn('!text-text-secondary !mt-0.5',
+      isFullDocMode ? 'line-clamp-3' : isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
+      className,
+    )}
+    content={sign_content || content}
+  />
+}
+
+export default React.memo(ChunkContent)
diff --git a/web/app/components/datasets/documents/detail/completed/segment-card.tsx b/web/app/components/datasets/documents/detail/completed/segment-card/index.tsx
similarity index 85%
rename from web/app/components/datasets/documents/detail/completed/segment-card.tsx
rename to web/app/components/datasets/documents/detail/completed/segment-card/index.tsx
index 1cadd0cf96..2d580469e5 100644
--- a/web/app/components/datasets/documents/detail/completed/segment-card.tsx
+++ b/web/app/components/datasets/documents/detail/completed/segment-card/index.tsx
@@ -1,14 +1,13 @@
 import React, { type FC, useCallback, useMemo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { RiDeleteBinLine, RiEditLine } from '@remixicon/react'
-import { StatusItem } from '../../list'
-import { useDocumentContext } from '../index'
-import ChildSegmentList from './child-segment-list'
-import Tag from './common/tag'
-import Dot from './common/dot'
-import { SegmentIndexTag } from './common/segment-index-tag'
-import ParentChunkCardSkeleton from './skeleton/parent-chunk-card-skeleton'
-import { useSegmentListContext } from './index'
+import { StatusItem } from '../../../list'
+import { useDocumentContext } from '../../index'
+import ChildSegmentList from '../child-segment-list'
+import Tag from '../common/tag'
+import Dot from '../common/dot'
+import { SegmentIndexTag } from '../common/segment-index-tag'
+import ParentChunkCardSkeleton from '../skeleton/parent-chunk-card-skeleton'
 import type { ChildChunkDetail, SegmentDetailModel } from '@/models/datasets'
 import Switch from '@/app/components/base/switch'
 import Divider from '@/app/components/base/divider'
@@ -18,6 +17,7 @@ import cn from '@/utils/classnames'
 import Badge from '@/app/components/base/badge'
 import { isAfter } from '@/utils/time'
 import Tooltip from '@/app/components/base/tooltip'
+import ChunkContent from './chunk-content'
 
 type ISegmentCardProps = {
   loading: boolean
@@ -59,6 +59,7 @@ const SegmentCard: FC<ISegmentCardProps> = ({
     position,
     enabled,
     content,
+    sign_content,
     word_count,
     hit_count,
     answer,
@@ -68,7 +69,6 @@ const SegmentCard: FC<ISegmentCardProps> = ({
     updated_at,
   } = detail as Required<ISegmentCardProps>['detail']
   const [showModal, setShowModal] = useState(false)
-  const isCollapsed = useSegmentListContext(s => s.isCollapsed)
   const mode = useDocumentContext(s => s.mode)
   const parentMode = useDocumentContext(s => s.parentMode)
 
@@ -103,33 +103,6 @@ const SegmentCard: FC<ISegmentCardProps> = ({
       onClick?.()
   }, [mode, parentMode, onClick])
 
-  const renderContent = () => {
-    if (answer) {
-      return (
-        <>
-          <div className='flex gap-x-1'>
-            <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>Q</div>
-            <div
-              className={cn('text-text-secondary body-md-regular',
-                isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
-              )}>
-              {content}
-            </div>
-          </div>
-          <div className='flex gap-x-1'>
-            <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>A</div>
-            <div className={cn('text-text-secondary body-md-regular',
-              isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
-            )}>
-              {answer}
-            </div>
-          </div>
-        </>
-      )
-    }
-    return content
-  }
-
   const wordCountText = useMemo(() => {
     const total = formatNumber(word_count)
     return `${total} ${t('datasetDocuments.segment.characters', { count: word_count })}`
@@ -234,12 +207,15 @@ const SegmentCard: FC<ISegmentCardProps> = ({
             : null}
         </>
       </div>
-      <div className={cn('text-text-secondary body-md-regular -tracking-[0.07px] mt-0.5',
-        contentOpacity,
-        isFullDocMode ? 'line-clamp-3' : isCollapsed ? 'line-clamp-2' : 'line-clamp-20',
-      )}>
-        {renderContent()}
-      </div>
+      <ChunkContent
+        detail={{
+          answer,
+          content,
+          sign_content,
+        }}
+        isFullDocMode={isFullDocMode}
+        className={contentOpacity}
+      />
       {isGeneralMode && <div className={cn('flex flex-wrap items-center gap-2 py-1.5', contentOpacity)}>
         {keywords?.map(keyword => <Tag key={keyword} text={keyword} />)}
       </div>}
diff --git a/web/app/components/datasets/documents/detail/completed/segment-detail.tsx b/web/app/components/datasets/documents/detail/completed/segment-detail.tsx
index 307a5cfb80..8891ddee85 100644
--- a/web/app/components/datasets/documents/detail/completed/segment-detail.tsx
+++ b/web/app/components/datasets/documents/detail/completed/segment-detail.tsx
@@ -142,9 +142,9 @@ const SegmentDetail: FC<ISegmentDetailProps> = ({
       <div className={classNames(
         'flex grow',
         fullScreen ? 'w-full flex-row justify-center px-6 pt-6 gap-x-8' : 'flex-col gap-y-1 py-3 px-4',
-        !isEditMode && 'pb-0',
+        !isEditMode && 'pb-0 overflow-hidden',
       )}>
-        <div className={classNames('break-all overflow-hidden whitespace-pre-line', fullScreen ? 'w-1/2' : 'grow')}>
+        <div className={classNames(isEditMode ? 'break-all whitespace-pre-line overflow-hidden' : 'overflow-y-auto', fullScreen ? 'w-1/2' : 'grow')}>
           <ChunkContent
             docForm={docForm}
             question={question}
diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx
index 7ae5e8c4f2..b09e72c6f9 100644
--- a/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx
+++ b/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx
@@ -17,7 +17,7 @@ const FullDocListSkeleton = () => {
   return (
     <div className='w-full grow flex flex-col gap-y-3 relative z-10 overflow-y-hidden'>
       <div className='absolute top-0 left-0 bottom-14 w-full h-full bg-dataset-chunk-list-mask-bg z-20' />
-      {[...Array(15)].map((_, index) => <Slice key={index} />)}
+      {[...Array.from({ length: 15 })].map((_, index) => <Slice key={index} />)}
     </div>
   )
 }
diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx
index c9b9c0887b..c4593083ce 100644
--- a/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx
+++ b/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx
@@ -8,7 +8,7 @@ import {
 import Checkbox from '@/app/components/base/checkbox'
 import Divider from '@/app/components/base/divider'
 
-const CardSkelton = React.memo(() => {
+export const CardSkelton = React.memo(() => {
   return (
     <SkeletonContainer className='p-1 pb-2 gap-y-0'>
       <SkeletonContainer className='px-2 pt-1.5 gap-y-0.5'>
@@ -50,7 +50,7 @@ const GeneralListSkeleton = () => {
   return (
     <div className='relative flex flex-col grow overflow-y-hidden z-10'>
       <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' />
-      {[...Array(10)].map((_, index) => {
+      {[...Array.from({ length: 10 })].map((_, index) => {
         return (
           <div key={index} className='flex items-start gap-x-2'>
             <Checkbox
diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx
index 4e88d49f91..eaa7126510 100644
--- a/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx
+++ b/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx
@@ -52,7 +52,7 @@ const ParagraphListSkeleton = () => {
   return (
     <div className='relative flex flex-col h-full overflow-y-hidden z-10'>
       <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' />
-      {[...Array(10)].map((_, index) => {
+      {[...Array.from({ length: 10 })].map((_, index) => {
         return (
           <div key={index} className='flex items-start gap-x-2'>
             <Checkbox
diff --git a/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx b/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx
index ebf5dc19d5..d938c55cc4 100644
--- a/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx
+++ b/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx
@@ -49,7 +49,7 @@ const EmbeddingSkeleton = () => {
   return (
     <div className='relative flex flex-col grow overflow-y-hidden z-10'>
       <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' />
-      {[...Array(5)].map((_, index) => {
+      {[...Array.from({ length: 5 })].map((_, index) => {
         return (
           <div key={index} className='w-full px-11'>
             <CardSkelton />
diff --git a/web/app/components/datasets/documents/detail/metadata/index.tsx b/web/app/components/datasets/documents/detail/metadata/index.tsx
index 4a5560203e..da96b859be 100644
--- a/web/app/components/datasets/documents/detail/metadata/index.tsx
+++ b/web/app/components/datasets/documents/detail/metadata/index.tsx
@@ -29,7 +29,7 @@ const map2Options = (map: { [key: string]: string }) => {
   return Object.keys(map).map(key => ({ value: key, name: map[key] }))
 }
 
-type IFieldInfoProps = {
+interface IFieldInfoProps {
   label: string
   value?: string
   valueIcon?: ReactNode
@@ -117,7 +117,7 @@ const IconButton: FC<{
   )
 }
 
-type IMetadataProps = {
+interface IMetadataProps {
   docDetail?: FullDocumentDetail
   loading: boolean
   onUpdate: () => void
diff --git a/web/app/components/datasets/documents/detail/settings/index.tsx b/web/app/components/datasets/documents/detail/settings/index.tsx
index 05c52d4de8..6bd6aaa265 100644
--- a/web/app/components/datasets/documents/detail/settings/index.tsx
+++ b/web/app/components/datasets/documents/detail/settings/index.tsx
@@ -16,7 +16,7 @@ import { ModelTypeEnum } from '@/app/components/header/account-setting/model-pro
 import type { NotionPage } from '@/models/common'
 import { useDocumentDetail, useInvalidDocumentDetailKey } from '@/service/knowledge/use-document'
 
-type DocumentSettingsProps = {
+interface DocumentSettingsProps {
   datasetId: string
   documentId: string
 }
diff --git a/web/app/components/datasets/documents/index.tsx b/web/app/components/datasets/documents/index.tsx
index c9df2f28e2..bbd1c03214 100644
--- a/web/app/components/datasets/documents/index.tsx
+++ b/web/app/components/datasets/documents/index.tsx
@@ -73,7 +73,7 @@ const EmptyElement: FC<{ canAdd: boolean; onClick: () => void; type?: 'upload' |
   </div>
 }
 
-type IDocumentsProps = {
+interface IDocumentsProps {
   datasetId: string
 }
 
diff --git a/web/app/components/datasets/documents/rename-modal.tsx b/web/app/components/datasets/documents/rename-modal.tsx
index 883897b510..0b73c37207 100644
--- a/web/app/components/datasets/documents/rename-modal.tsx
+++ b/web/app/components/datasets/documents/rename-modal.tsx
@@ -9,7 +9,7 @@ import Button from '@/app/components/base/button'
 import Input from '@/app/components/base/input'
 import { renameDocumentName } from '@/service/datasets'
 
-type Props = {
+interface Props {
   datasetId: string
   documentId: string
   name: string
diff --git a/web/app/components/datasets/external-api/external-api-modal/Form.tsx b/web/app/components/datasets/external-api/external-api-modal/Form.tsx
index ada01493fe..824b5e6c9e 100644
--- a/web/app/components/datasets/external-api/external-api-modal/Form.tsx
+++ b/web/app/components/datasets/external-api/external-api-modal/Form.tsx
@@ -87,4 +87,6 @@ const Form: FC<FormProps> = React.memo(({
   )
 })
 
+Form.displayName = 'Form'
+
 export default Form
diff --git a/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx b/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx
index fe2f2b8f36..463a32e4d0 100644
--- a/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx
+++ b/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx
@@ -12,6 +12,7 @@ import FileIcon from '@/app/components/base/file-uploader/file-type-icon'
 import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types'
 import cn from '@/utils/classnames'
 import Tag from '@/app/components/datasets/documents/detail/completed/common/tag'
+import { Markdown } from '@/app/components/base/markdown'
 
 const i18nPrefix = 'datasetHitTesting'
 
@@ -26,7 +27,7 @@ const ChunkDetailModal: FC<Props> = ({
 }) => {
   const { t } = useTranslation()
   const { segment, score, child_chunks } = payload
-  const { position, content, keywords, document } = segment
+  const { position, content, sign_content, keywords, document } = segment
   const isParentChildRetrieval = !!(child_chunks && child_chunks.length > 0)
   const extension = document.name.split('.').slice(-1)[0] as FileAppearanceTypeEnum
   const heighClassName = isParentChildRetrieval ? 'h-[min(627px,_80vh)] overflow-y-auto' : 'h-[min(539px,_80vh)] overflow-y-auto'
@@ -56,9 +57,10 @@ const ChunkDetailModal: FC<Props> = ({
             </div>
             <Score value={score} />
           </div>
-          <div className={cn('mt-2 body-md-regular text-text-secondary break-all', heighClassName)}>
-            {content}
-          </div>
+          <Markdown
+            className={cn('!mt-2 !text-text-secondary', heighClassName)}
+            content={sign_content || content}
+          />
           {!isParentChildRetrieval && keywords && keywords.length > 0 && (
             <div className='mt-6'>
               <div className='font-medium text-xs text-text-tertiary uppercase'>{t(`${i18nPrefix}.keyword`)}</div>
diff --git a/web/app/components/datasets/hit-testing/components/result-item.tsx b/web/app/components/datasets/hit-testing/components/result-item.tsx
index 16bc40f67c..12cbceff9c 100644
--- a/web/app/components/datasets/hit-testing/components/result-item.tsx
+++ b/web/app/components/datasets/hit-testing/components/result-item.tsx
@@ -13,6 +13,7 @@ import cn from '@/utils/classnames'
 import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types'
 import Tag from '@/app/components/datasets/documents/detail/completed/common/tag'
 import { extensionToFileType } from '@/app/components/datasets/hit-testing/utils/extension-to-file-type'
+import { Markdown } from '@/app/components/base/markdown'
 
 const i18nPrefix = 'datasetHitTesting'
 type Props = {
@@ -25,7 +26,7 @@ const ResultItem: FC<Props> = ({
   const { t } = useTranslation()
   const { segment, score, child_chunks } = payload
   const data = segment
-  const { position, word_count, content, keywords, document } = data
+  const { position, word_count, content, sign_content, keywords, document } = data
   const isParentChildRetrieval = !!(child_chunks && child_chunks.length > 0)
   const extension = document.name.split('.').slice(-1)[0] as FileAppearanceTypeEnum
   const fileType = extensionToFileType(extension)
@@ -46,10 +47,16 @@ const ResultItem: FC<Props> = ({
 
       {/* Main */}
       <div className='mt-1 px-3'>
-        <div className='line-clamp-2 body-md-regular break-all'>{content}</div>
+        <Markdown className='line-clamp-2' content={sign_content || content} />
         {isParentChildRetrieval && (
           <div className='mt-1'>
-            <div className={cn('inline-flex items-center h-6 space-x-0.5 text-text-secondary select-none rounded-lg cursor-pointer', isFold && 'pl-1 bg-[linear-gradient(90deg,_rgba(200,_206,_218,_0.20)_0%,_rgba(200,_206,_218,_0.04)_100%)]')} onClick={toggleFold}>
+            <div
+              className={cn('inline-flex items-center h-6 space-x-0.5 text-text-secondary select-none rounded-lg cursor-pointer', isFold && 'pl-1 bg-[linear-gradient(90deg,_rgba(200,_206,_218,_0.20)_0%,_rgba(200,_206,_218,_0.04)_100%)]')}
+              onClick={(e) => {
+                e.stopPropagation()
+                toggleFold()
+              }}
+            >
               <Icon className={cn('w-4 h-4', isFold && 'opacity-50')} />
               <div className='text-xs font-semibold uppercase'>{t(`${i18nPrefix}.hitChunks`, { num: child_chunks.length })}</div>
             </div>
diff --git a/web/app/components/datasets/hit-testing/index.tsx b/web/app/components/datasets/hit-testing/index.tsx
index 33f2acc65b..983b700b5a 100644
--- a/web/app/components/datasets/hit-testing/index.tsx
+++ b/web/app/components/datasets/hit-testing/index.tsx
@@ -7,7 +7,6 @@ import { omit } from 'lodash-es'
 import { useBoolean } from 'ahooks'
 import { useContext } from 'use-context-selector'
 import { RiApps2Line, RiFocus2Line } from '@remixicon/react'
-import SegmentCard from '../documents/detail/completed/SegmentCard'
 import Textarea from './textarea'
 import s from './style.module.css'
 import ModifyRetrievalModal from './modify-retrieval-modal'
@@ -25,6 +24,7 @@ import type { RetrievalConfig } from '@/types/app'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import useTimestamp from '@/hooks/use-timestamp'
 import docStyle from '@/app/components/datasets/documents/detail/completed/style.module.css'
+import { CardSkelton } from '../documents/detail/completed/skeleton/general-list-skeleton'
 
 const limit = 10
 
@@ -180,11 +180,9 @@ const HitTestingPage: FC<Props> = ({ datasetId }: Props) => {
         <div className='flex flex-col pt-3'>
           {/* {renderHitResults(generalResultData)} */}
           {submitLoading
-            ? <SegmentCard
-              loading={true}
-              scene='hitTesting'
-              className='h-[216px]'
-            />
+            ? <div className='h-full flex flex-col py-3 px-4 rounded-t-2xl bg-background-body'>
+              <CardSkelton />
+            </div>
             : (
               (() => {
                 if (!hitResult?.records.length && !externalHitResult?.records.length)
diff --git a/web/app/components/datasets/hit-testing/textarea.tsx b/web/app/components/datasets/hit-testing/textarea.tsx
index 43366754fe..c497335c70 100644
--- a/web/app/components/datasets/hit-testing/textarea.tsx
+++ b/web/app/components/datasets/hit-testing/textarea.tsx
@@ -15,7 +15,7 @@ import { asyncRunSafe } from '@/utils'
 import { RETRIEVE_METHOD, type RetrievalConfig } from '@/types/app'
 import promptS from '@/app/components/app/configuration/config-prompt/style.module.css'
 
-type TextAreaWithButtonIProps = {
+interface TextAreaWithButtonIProps {
   datasetId: string
   onUpdateList: () => void
   setHitResult: (res: HitTestingResponse) => void
diff --git a/web/app/components/datasets/rename-modal/index.tsx b/web/app/components/datasets/rename-modal/index.tsx
index e93862f63d..22c7f8e988 100644
--- a/web/app/components/datasets/rename-modal/index.tsx
+++ b/web/app/components/datasets/rename-modal/index.tsx
@@ -14,7 +14,7 @@ import { ToastContext } from '@/app/components/base/toast'
 import type { DataSet } from '@/models/datasets'
 import { updateDatasetSetting } from '@/service/datasets'
 
-type RenameDatasetModalProps = {
+interface RenameDatasetModalProps {
   show: boolean
   dataset: DataSet
   onSuccess?: () => void
diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx
index c25c9827a7..7d80112cc1 100644
--- a/web/app/components/datasets/settings/form/index.tsx
+++ b/web/app/components/datasets/settings/form/index.tsx
@@ -19,7 +19,7 @@ import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/d
 import { updateDatasetSetting } from '@/service/datasets'
 import { type DataSetListResponse, DatasetPermission } from '@/models/datasets'
 import DatasetDetailContext from '@/context/dataset-detail'
-import { type RetrievalConfig } from '@/types/app'
+import type { RetrievalConfig } from '@/types/app'
 import { useAppContext } from '@/context/app-context'
 import { isReRankModelSelected } from '@/app/components/datasets/common/check-rerank-model'
 import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector'
diff --git a/web/app/components/datasets/settings/permission-selector/index.tsx b/web/app/components/datasets/settings/permission-selector/index.tsx
index 62ec947f12..883373ef11 100644
--- a/web/app/components/datasets/settings/permission-selector/index.tsx
+++ b/web/app/components/datasets/settings/permission-selector/index.tsx
@@ -88,8 +88,8 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
               <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'>
                 <Users01 className='w-3.5 h-3.5 text-[#444CE7]' />
               </div>
-              <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsAllMember')}</div>
-              {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />}
+              <div className='grow mr-2 text-text-primary text-sm leading-5'>{t('datasetSettings.form.permissionsAllMember')}</div>
+              {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-text-secondary' />}
             </div>
           )}
           {isPartialMembers && (
@@ -97,13 +97,13 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
               <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'>
                 <Users01 className='w-3.5 h-3.5 text-[#444CE7]' />
               </div>
-              <div title={selectedMembers} className='grow mr-2 text-gray-900 text-sm leading-5 truncate'>{selectedMembers}</div>
-              {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />}
+              <div title={selectedMembers} className='grow mr-2 text-text-primary text-sm leading-5 truncate'>{selectedMembers}</div>
+              {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-text-secondary' />}
             </div>
           )}
         </PortalToFollowElemTrigger>
         <PortalToFollowElemContent className='z-[1002]'>
-          <div className='relative w-[480px] rounded-lg border-[0.5px] bg-white shadow-lg'>
+          <div className='relative w-[480px] rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg-blur backdrop-blur-sm shadow-lg'>
             <div className='p-1'>
               <div className='pl-3 pr-2 py-1 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => {
                 onChange(DatasetPermission.onlyMe)
@@ -155,23 +155,23 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
                   <div className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg'>
                     <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0' size={24} />
                     <div className='grow'>
-                      <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'>
+                      <div className='text-[13px] text-text-secondary font-medium leading-[18px] truncate'>
                         {userProfile.name}
-                        <span className='text-xs text-gray-500 font-normal'>{t('datasetSettings.form.me')}</span>
+                        <span className='text-xs text-text-tertiary font-normal'>{t('datasetSettings.form.me')}</span>
                       </div>
-                      <div className='text-xs text-gray-500 leading-[18px] truncate'>{userProfile.email}</div>
+                      <div className='text-xs text-text-tertiary leading-[18px] truncate'>{userProfile.email}</div>
                     </div>
-                    <Check className='shrink-0 w-4 h-4 text-primary-600 opacity-30' />
+                    <Check className='shrink-0 w-4 h-4 text-text-accent opacity-30' />
                   </div>
                 )}
                 {filteredMemberList.map(member => (
-                  <div key={member.id} className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg hover:bg-gray-100 cursor-pointer' onClick={() => selectMember(member)}>
+                  <div key={member.id} className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg hover:bg-state-base-hover cursor-pointer' onClick={() => selectMember(member)}>
                     <Avatar avatar={userProfile.avatar_url} name={member.name} className='shrink-0' size={24} />
                     <div className='grow'>
-                      <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'>{member.name}</div>
-                      <div className='text-xs text-gray-500 leading-[18px] truncate'>{member.email}</div>
+                      <div className='text-[13px] text-text-secondary font-medium leading-[18px] truncate'>{member.name}</div>
+                      <div className='text-xs text-text-tertiary leading-[18px] truncate'>{member.email}</div>
                     </div>
-                    {value.includes(member.id) && <Check className='shrink-0 w-4 h-4 text-primary-600' />}
+                    {value.includes(member.id) && <Check className='shrink-0 w-4 h-4 text-text-accent' />}
                   </div>
                 ))}
               </div>
diff --git a/web/app/components/develop/md.tsx b/web/app/components/develop/md.tsx
index c75798fcfe..643e7bdea5 100644
--- a/web/app/components/develop/md.tsx
+++ b/web/app/components/develop/md.tsx
@@ -56,7 +56,7 @@ export const Heading = function H2({
 
 export function Row({ children }: IChildrenProps) {
   return (
-    <div className="grid items-start grid-cols-1 gap-x-16 gap-y-10 xl:max-w-none xl:grid-cols-2">
+    <div className="grid items-start grid-cols-1 gap-x-16 gap-y-10 xl:!max-w-none xl:grid-cols-2">
       {children}
     </div>
   )
diff --git a/web/app/components/develop/secret-key/input-copy.tsx b/web/app/components/develop/secret-key/input-copy.tsx
index d31077919e..cab0d5fc66 100644
--- a/web/app/components/develop/secret-key/input-copy.tsx
+++ b/web/app/components/develop/secret-key/input-copy.tsx
@@ -33,10 +33,10 @@ const InputCopy = ({
   }, [isCopied])
 
   return (
-    <div className={`flex rounded-lg bg-gray-50 hover:bg-gray-50 py-2 items-center ${className}`}>
-      <div className="flex items-center flex-grow h-5">
+    <div className={`flex rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover py-2 items-center ${className}`}>
+      <div className="flex items-center grow h-5">
         {children}
-        <div className='flex-grow bg-gray-50 text-[13px] relative h-full'>
+        <div className='grow text-[13px] relative h-full'>
           <div className='absolute top-0 left-0 w-full pl-2 pr-2 truncate cursor-pointer r-0' onClick={() => {
             copy(value)
             setIsCopied(true)
@@ -49,13 +49,13 @@ const InputCopy = ({
             </Tooltip>
           </div>
         </div>
-        <div className="flex-shrink-0 h-4 bg-gray-200 border" />
+        <div className="shrink-0 h-4 bg-divider-regular border" />
         <Tooltip
           popupContent={isCopied ? `${t('appApi.copied')}` : `${t('appApi.copy')}`}
           position='bottom'
         >
-          <div className="px-0.5 flex-shrink-0">
-            <div className={`box-border w-[30px] h-[30px] flex items-center justify-center rounded-lg hover:bg-gray-100 cursor-pointer ${s.copyIcon} ${isCopied ? s.copied : ''}`} onClick={() => {
+          <div className="px-0.5 shrink-0">
+            <div className={`box-border w-[30px] h-[30px] flex items-center justify-center rounded-lg hover:bg-state-base-hover cursor-pointer ${s.copyIcon} ${isCopied ? s.copied : ''}`} onClick={() => {
               copy(value)
               setIsCopied(true)
             }}>
diff --git a/web/app/components/develop/secret-key/secret-key-generate.tsx b/web/app/components/develop/secret-key/secret-key-generate.tsx
index 14b862f68a..07cdf11c48 100644
--- a/web/app/components/develop/secret-key/secret-key-generate.tsx
+++ b/web/app/components/develop/secret-key/secret-key-generate.tsx
@@ -23,14 +23,14 @@ const SecretKeyGenerateModal = ({
   const { t } = useTranslation()
   return (
     <Modal isShow={isShow} onClose={onClose} title={`${t('appApi.apiKeyModal.apiSecretKey')}`} className={`px-8 ${className}`}>
-      <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-gray-500 ${s.close}`} onClick={onClose} />
-      <p className='mt-1 text-[13px] text-gray-500 font-normal leading-5'>{t('appApi.apiKeyModal.generateTips')}</p>
+      <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-text-tertiary ${s.close}`} onClick={onClose} />
+      <p className='mt-1 text-[13px] text-text-tertiary font-normal leading-5'>{t('appApi.apiKeyModal.generateTips')}</p>
       <div className='my-4'>
         <InputCopy className='w-full' value={newKey?.token} />
       </div>
       <div className='flex justify-end my-4'>
-        <Button className={`flex-shrink-0 ${s.w64}`} onClick={onClose}>
-          <span className='text-xs font-medium text-gray-800'>{t('appApi.actionMsg.ok')}</span>
+        <Button className={`shrink-0 ${s.w64}`} onClick={onClose}>
+          <span className='text-xs font-medium text-text-secondary'>{t('appApi.actionMsg.ok')}</span>
         </Button>
       </div>
 
diff --git a/web/app/components/develop/secret-key/secret-key-modal.tsx b/web/app/components/develop/secret-key/secret-key-modal.tsx
index dbb5cc37c7..54b833edef 100644
--- a/web/app/components/develop/secret-key/secret-key-modal.tsx
+++ b/web/app/components/develop/secret-key/secret-key-modal.tsx
@@ -98,37 +98,37 @@ const SecretKeyModal = ({
 
   return (
     <Modal isShow={isShow} onClose={onClose} title={`${t('appApi.apiKeyModal.apiSecretKey')}`} className={`${s.customModal} px-8 flex flex-col`}>
-      <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-gray-500 ${s.close}`} onClick={onClose} />
-      <p className='mt-1 text-[13px] text-gray-500 font-normal leading-5 flex-shrink-0'>{t('appApi.apiKeyModal.apiSecretKeyTips')}</p>
+      <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-text-tertiary ${s.close}`} onClick={onClose} />
+      <p className='mt-1 text-[13px] text-text-tertiary font-normal leading-5 shrink-0'>{t('appApi.apiKeyModal.apiSecretKeyTips')}</p>
       {!apiKeysList && <div className='mt-4'><Loading /></div>}
       {
         !!apiKeysList?.data?.length && (
-          <div className='flex flex-col flex-grow mt-4 overflow-hidden'>
-            <div className='flex items-center flex-shrink-0 text-xs font-semibold text-gray-500 border-b border-solid h-9'>
-              <div className='flex-shrink-0 w-64 px-3'>{t('appApi.apiKeyModal.secretKey')}</div>
-              <div className='flex-shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.created')}</div>
-              <div className='flex-shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.lastUsed')}</div>
-              <div className='flex-grow px-3'></div>
+          <div className='flex flex-col grow mt-4 overflow-hidden'>
+            <div className='flex items-center shrink-0 text-xs font-semibold text-text-tertiary border-b border-solid h-9'>
+              <div className='shrink-0 w-64 px-3'>{t('appApi.apiKeyModal.secretKey')}</div>
+              <div className='shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.created')}</div>
+              <div className='shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.lastUsed')}</div>
+              <div className='grow px-3'></div>
             </div>
-            <div className='flex-grow overflow-auto'>
+            <div className='grow overflow-auto'>
               {apiKeysList.data.map(api => (
-                <div className='flex items-center text-sm font-normal text-gray-700 border-b border-solid h-9' key={api.id}>
-                  <div className='flex-shrink-0 w-64 px-3 font-mono truncate'>{generateToken(api.token)}</div>
-                  <div className='flex-shrink-0 px-3 truncate w-[200px]'>{formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string)}</div>
-                  <div className='flex-shrink-0 px-3 truncate w-[200px]'>{api.last_used_at ? formatTime(Number(api.last_used_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}</div>
-                  <div className='flex flex-grow px-3'>
+                <div className='flex items-center text-sm font-normal text-text-secondary border-b border-solid h-9' key={api.id}>
+                  <div className='shrink-0 w-64 px-3 font-mono truncate'>{generateToken(api.token)}</div>
+                  <div className='shrink-0 px-3 truncate w-[200px]'>{formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string)}</div>
+                  <div className='shrink-0 px-3 truncate w-[200px]'>{api.last_used_at ? formatTime(Number(api.last_used_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}</div>
+                  <div className='flex grow px-3'>
                     <Tooltip
                       popupContent={copyValue === api.token ? `${t('appApi.copied')}` : `${t('appApi.copy')}`}
                       popupClassName='mr-1'
                     >
-                      <div className={`flex items-center justify-center flex-shrink-0 w-6 h-6 mr-1 rounded-lg cursor-pointer hover:bg-gray-100 ${s.copyIcon} ${copyValue === api.token ? s.copied : ''}`} onClick={() => {
+                      <div className={`flex items-center justify-center shrink-0 w-6 h-6 mr-1 rounded-lg cursor-pointer hover:bg-state-base-hover ${s.copyIcon} ${copyValue === api.token ? s.copied : ''}`} onClick={() => {
                         // setIsCopied(true)
                         copy(api.token)
                         setCopyValue(api.token)
                       }}></div>
                     </Tooltip>
                     {isCurrentWorkspaceManager
-                      && <div className={`flex items-center justify-center flex-shrink-0 w-6 h-6 rounded-lg cursor-pointer ${s.trashIcon}`} onClick={() => {
+                      && <div className={`flex items-center justify-center shrink-0 w-6 h-6 rounded-lg cursor-pointer ${s.trashIcon}`} onClick={() => {
                         setDelKeyId(api.id)
                         setShowConfirmDelete(true)
                       }}>
@@ -142,12 +142,12 @@ const SecretKeyModal = ({
         )
       }
       <div className='flex'>
-        <Button className={`flex flex-shrink-0 mt-4 ${s.autoWidth}`} onClick={onCreate} disabled={!currentWorkspace || !isCurrentWorkspaceEditor}>
-          <PlusIcon className='flex flex-shrink-0 w-4 h-4' />
-          <div className='text-xs font-medium text-gray-800'>{t('appApi.apiKeyModal.createNewSecretKey')}</div>
+        <Button className={`flex shrink-0 mt-4 ${s.autoWidth}`} onClick={onCreate} disabled={!currentWorkspace || !isCurrentWorkspaceEditor}>
+          <PlusIcon className='flex shrink-0 w-4 h-4 mr-1' />
+          <div className='text-xs font-medium text-text-secondary'>{t('appApi.apiKeyModal.createNewSecretKey')}</div>
         </Button>
       </div>
-      <SecretKeyGenerateModal className='flex-shrink-0' isShow={isVisible} onClose={() => setVisible(false)} newKey={newKey} />
+      <SecretKeyGenerateModal className='shrink-0' isShow={isVisible} onClose={() => setVisible(false)} newKey={newKey} />
       {showConfirmDelete && (
         <Confirm
           title={`${t('appApi.actionMsg.deleteConfirmTitle')}`}
diff --git a/web/app/components/explore/app-list/index.tsx b/web/app/components/explore/app-list/index.tsx
index b8e7939328..458aadcb61 100644
--- a/web/app/components/explore/app-list/index.tsx
+++ b/web/app/components/explore/app-list/index.tsx
@@ -25,6 +25,7 @@ import { useAppContext } from '@/context/app-context'
 import { getRedirection } from '@/utils/app-redirection'
 import Input from '@/app/components/base/input'
 import { DSLImportMode } from '@/models/app'
+import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks'
 
 type AppsProps = {
   pageType?: PageType
@@ -117,6 +118,7 @@ const Apps = ({
 
   const [currApp, setCurrApp] = React.useState<App | null>(null)
   const [isShowCreateModal, setIsShowCreateModal] = React.useState(false)
+  const { handleCheckPluginDependencies } = usePluginDependencies()
   const onCreate: CreateAppModalProps['onConfirm'] = async ({
     name,
     icon_type,
@@ -144,6 +146,8 @@ const Apps = ({
       })
       if (onSuccess)
         onSuccess()
+      if (app.app_id)
+        await handleCheckPluginDependencies(app.app_id)
       localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1')
       getRedirection(isCurrentWorkspaceEditor, { id: app.app_id }, push)
     }
diff --git a/web/app/components/explore/create-app-modal/index.tsx b/web/app/components/explore/create-app-modal/index.tsx
index 45baf773f8..152f3b9282 100644
--- a/web/app/components/explore/create-app-modal/index.tsx
+++ b/web/app/components/explore/create-app-modal/index.tsx
@@ -14,7 +14,7 @@ import { useProviderContext } from '@/context/provider-context'
 import AppsFull from '@/app/components/billing/apps-full-in-dialog'
 import type { AppIconType } from '@/types/app'
 
-export type CreateAppModalProps = {
+export interface CreateAppModalProps {
   show: boolean
   isEditModal?: boolean
   appName: string
diff --git a/web/app/components/header/account-dropdown/index.tsx b/web/app/components/header/account-dropdown/index.tsx
index d9065f3141..f176058332 100644
--- a/web/app/components/header/account-dropdown/index.tsx
+++ b/web/app/components/header/account-dropdown/index.tsx
@@ -9,7 +9,6 @@ import { Menu, Transition } from '@headlessui/react'
 import Indicator from '../indicator'
 import AccountAbout from '../account-about'
 import { mailToSupport } from '../utils/util'
-import WorkplaceSelector from './workplace-selector'
 import classNames from '@/utils/classnames'
 import I18n from '@/context/i18n'
 import Avatar from '@/app/components/base/avatar'
@@ -99,10 +98,6 @@ export default function AppSelector({ isMobile }: IAppSelector) {
                       </div>
                     </div>
                   </Menu.Item>
-                  <div className='px-1 py-1'>
-                    <div className='mt-2 px-3 text-xs font-medium text-text-tertiary'>{t('common.userProfile.workspace')}</div>
-                    <WorkplaceSelector />
-                  </div>
                   <div className="px-1 py-1">
                     <Menu.Item>
                       {({ active }) => <Link
diff --git a/web/app/components/header/account-dropdown/workplace-selector/index.tsx b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
index bcc72a7bb3..f8bde33d51 100644
--- a/web/app/components/header/account-dropdown/workplace-selector/index.tsx
+++ b/web/app/components/header/account-dropdown/workplace-selector/index.tsx
@@ -2,34 +2,21 @@ import { Fragment } from 'react'
 import { useContext } from 'use-context-selector'
 import { useTranslation } from 'react-i18next'
 import { Menu, Transition } from '@headlessui/react'
-import s from './index.module.css'
+import { RiArrowDownSLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
 import { switchWorkspace } from '@/service/common'
 import { useWorkspacesContext } from '@/context/workspace-context'
-import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows'
-import { Check } from '@/app/components/base/icons/src/vender/line/general'
+import { useProviderContext } from '@/context/provider-context'
 import { ToastContext } from '@/app/components/base/toast'
-import classNames from '@/utils/classnames'
-
-const itemClassName = `
-  flex items-center px-3 py-2 h-10 cursor-pointer
-`
-const itemIconClassName = `
-  shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600
-`
-const itemNameClassName = `
-  grow mr-2 text-sm text-gray-700 text-left
-`
-const itemCheckClassName = `
-  shrink-0 w-4 h-4 text-primary-600
-`
+import PremiumBadge from '@/app/components/base/premium-badge'
 
 const WorkplaceSelector = () => {
   const { t } = useTranslation()
+  const { plan } = useProviderContext()
   const { notify } = useContext(ToastContext)
   const { workspaces } = useWorkspacesContext()
   const currentWorkspace = workspaces.find(v => v.current)
-
+  const isFreePlan = plan.type === 'sandbox'
   const handleSwitchWorkspace = async (tenant_id: string) => {
     try {
       if (currentWorkspace?.id === tenant_id)
@@ -50,13 +37,15 @@ const WorkplaceSelector = () => {
           <>
             <Menu.Button className={cn(
               `
-                ${itemClassName} w-full
-                group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-lg
+                flex items-center p-0.5 gap-1.5 w-full
+                group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-[10px]
               `,
             )}>
-              <div className={itemIconClassName}>{currentWorkspace?.name[0].toLocaleUpperCase()}</div>
-              <div className={`${itemNameClassName} truncate`}>{currentWorkspace?.name}</div>
-              <ChevronRight className='shrink-0 w-[14px] h-[14px] text-gray-500' />
+              <div className='flex items-center justify-center w-7 h-7 bg-[#EFF4FF] rounded-lg text-xs font-medium text-primary-600'>{currentWorkspace?.name[0].toLocaleUpperCase()}</div>
+              <div className='flex flex-row'>
+                <div className={'truncate max-w-[80px] text-text-secondary system-sm-medium'}>{currentWorkspace?.name}</div>
+                <RiArrowDownSLine className='w-4 h-4 text-text-secondary' />
+              </div>
             </Menu.Button>
             <Transition
               as={Fragment}
@@ -70,25 +59,29 @@ const WorkplaceSelector = () => {
               <Menu.Items
                 className={cn(
                   `
-                    absolute top-[1px] min-w-[200px] max-h-[70vh] overflow-y-scroll z-10 bg-white border-[0.5px] border-gray-200
-                    divide-y divide-gray-100 origin-top-right rounded-xl focus:outline-none
+                    flex w-[280px] flex-col items-start absolute left-[-15px] mt-1 rounded-xl shadows-shadow-lg
                   `,
-                  s.popup,
                 )}
               >
-                <div className="px-1 py-1">
+                <div className="flex flex-col p-1 pb-2 items-start self-stretch w-full rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg ">
+                  <div className='flex px-3 pt-1 pb-0.5 items-start self-stretch'>
+                    <span className='flex-1 text-text-tertiary system-xs-medium-uppercase'>{t('common.userProfile.workspace')}</span>
+                  </div>
                   {
                     workspaces.map(workspace => (
-                      <Menu.Item key={workspace.id}>
-                        {({ active }) => <div className={classNames(itemClassName,
-                          active && 'bg-state-base-hover',
-                        )} key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}>
-                          <div className={itemIconClassName}>{workspace.name[0].toLocaleUpperCase()}</div>
-                          <div className={itemNameClassName}>{workspace.name}</div>
-                          {workspace.current && <Check className={itemCheckClassName} />}
-                        </div>}
-
-                      </Menu.Item>
+                      <div className='flex py-1 pl-3 pr-2 items-center gap-2 self-stretch hover:bg-state-base-hover rounded-lg' key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}>
+                        <div className='flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600'>{workspace.name[0].toLocaleUpperCase()}</div>
+                        <div className='line-clamp-1 grow overflow-hidden text-text-secondary text-ellipsis system-md-regular cursor-pointer'>{workspace.name}</div>
+                        {
+                          <PremiumBadge size='s' color='gray' allowHover={false}>
+                            <div className='system-2xs-medium'>
+                              <span className='p-[2px]'>
+                                {plan.type === 'professional' ? 'PRO' : plan.type.toUpperCase()}
+                              </span>
+                            </div>
+                          </PremiumBadge>
+                        }
+                      </div>
                     ))
                   }
                 </div>
diff --git a/web/app/components/header/account-setting/api-based-extension-page/modal.tsx b/web/app/components/header/account-setting/api-based-extension-page/modal.tsx
index 23a04f54b5..ebe5386388 100644
--- a/web/app/components/header/account-setting/api-based-extension-page/modal.tsx
+++ b/web/app/components/header/account-setting/api-based-extension-page/modal.tsx
@@ -77,7 +77,7 @@ const ApiBasedExtensionModal: FC<ApiBasedExtensionModalProps> = ({
       onClose={() => { }}
       className='!p-8 !pb-6 !max-w-none !w-[640px]'
     >
-      <div className='mb-2 text-xl font-semibold text-gray-900'>
+      <div className='mb-2 text-xl font-semibold text-text-primary'>
         {
           data.name
             ? t('common.apiBasedExtension.modal.editTitle')
@@ -85,44 +85,44 @@ const ApiBasedExtensionModal: FC<ApiBasedExtensionModalProps> = ({
         }
       </div>
       <div className='py-2'>
-        <div className='leading-9 text-sm font-medium text-gray-900'>
+        <div className='leading-9 text-sm font-medium text-text-primary'>
           {t('common.apiBasedExtension.modal.name.title')}
         </div>
         <input
           value={localeData.name || ''}
           onChange={e => handleDataChange('name', e.target.value)}
-          className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none'
+          className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none'
           placeholder={t('common.apiBasedExtension.modal.name.placeholder') || ''}
         />
       </div>
       <div className='py-2'>
-        <div className='flex justify-between items-center h-9 text-sm font-medium text-gray-900'>
+        <div className='flex justify-between items-center h-9 text-sm font-medium text-text-primary'>
           {t('common.apiBasedExtension.modal.apiEndpoint.title')}
           <a
             href={t('common.apiBasedExtension.linkUrl') || '/'}
             target='_blank' rel='noopener noreferrer'
-            className='group flex items-center text-xs text-gray-500 font-normal hover:text-primary-600'
+            className='group flex items-center text-xs text-text-tertiary font-normal hover:text-text-accent'
           >
-            <BookOpen01 className='mr-1 w-3 h-3 text-gray-500 group-hover:text-primary-600' />
+            <BookOpen01 className='mr-1 w-3 h-3 text-text-tertiary group-hover:text-text-accent' />
             {t('common.apiBasedExtension.link')}
           </a>
         </div>
         <input
           value={localeData.api_endpoint || ''}
           onChange={e => handleDataChange('api_endpoint', e.target.value)}
-          className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none'
+          className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none'
           placeholder={t('common.apiBasedExtension.modal.apiEndpoint.placeholder') || ''}
         />
       </div>
       <div className='py-2'>
-        <div className='leading-9 text-sm font-medium text-gray-900'>
+        <div className='leading-9 text-sm font-medium text-text-primary'>
           {t('common.apiBasedExtension.modal.apiKey.title')}
         </div>
         <div className='flex items-center'>
           <input
             value={localeData.api_key || ''}
             onChange={e => handleDataChange('api_key', e.target.value)}
-            className='block grow mr-2 px-3 h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none'
+            className='block grow mr-2 px-3 h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none'
             placeholder={t('common.apiBasedExtension.modal.apiKey.placeholder') || ''}
           />
         </div>
diff --git a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx
index fb1b22df34..9c67f92a8d 100644
--- a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx
+++ b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx
@@ -54,33 +54,33 @@ const ApiBasedExtensionSelector: FC<ApiBasedExtensionSelectorProps> = ({
         {
           currentItem
             ? (
-              <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-gray-100 rounded-lg cursor-pointer'>
-                <div className='text-sm text-gray-900'>{currentItem.name}</div>
+              <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-components-input-bg-normal rounded-lg cursor-pointer'>
+                <div className='text-sm text-text-primary'>{currentItem.name}</div>
                 <div className='flex items-center'>
-                  <div className='mr-1.5 w-[270px] text-xs text-gray-400 truncate text-right'>
+                  <div className='mr-1.5 w-[270px] text-xs text-text-quaternary truncate text-right'>
                     {currentItem.api_endpoint}
                   </div>
-                  <RiArrowDownSLine className={`w-4 h-4 text-gray-700 ${!open && 'opacity-60'}`} />
+                  <RiArrowDownSLine className={`w-4 h-4 text-text-secondary ${!open && 'opacity-60'}`} />
                 </div>
               </div>
             )
             : (
-              <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-gray-100 rounded-lg text-sm text-gray-400 cursor-pointer'>
+              <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-quaternary cursor-pointer'>
                 {t('common.apiBasedExtension.selector.placeholder')}
-                <RiArrowDownSLine className={`w-4 h-4 text-gray-700 ${!open && 'opacity-60'}`} />
+                <RiArrowDownSLine className={`w-4 h-4 text-text-secondary ${!open && 'opacity-60'}`} />
               </div>
             )
         }
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='w-[calc(100%-32px)] max-w-[576px] z-[102]'>
-        <div className='w-full rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg z-10'>
+        <div className='w-full rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg z-10'>
           <div className='p-1'>
             <div className='flex items-center justify-between px-3 pt-2 pb-1'>
-              <div className='text-xs font-medium text-gray-500'>
+              <div className='text-xs font-medium text-text-tertiary'>
                 {t('common.apiBasedExtension.selector.title')}
               </div>
               <div
-                className='flex items-center text-xs text-primary-600 cursor-pointer'
+                className='flex items-center text-xs text-text-accent cursor-pointer'
                 onClick={() => {
                   setOpen(false)
                   setShowAccountSettingModal({ payload: 'api-based-extension' })
@@ -95,20 +95,20 @@ const ApiBasedExtensionSelector: FC<ApiBasedExtensionSelectorProps> = ({
                 data?.map(item => (
                   <div
                     key={item.id}
-                    className='px-3 py-1.5 w-full cursor-pointer hover:bg-gray-50 rounded-md text-left'
+                    className='px-3 py-1.5 w-full cursor-pointer hover:stroke-state-base-hover rounded-md text-left'
                     onClick={() => handleSelect(item.id!)}
                   >
-                    <div className='text-sm text-gray-900'>{item.name}</div>
-                    <div className='text-xs text-gray-500'>{item.api_endpoint}</div>
+                    <div className='text-sm text-text-primary'>{item.name}</div>
+                    <div className='text-xs text-text-tertiary'>{item.api_endpoint}</div>
                   </div>
                 ))
               }
             </div>
           </div>
-          <div className='h-[1px] bg-gray-100' />
+          <div className='h-[1px] bg-divider-regular' />
           <div className='p-1'>
             <div
-              className='flex items-center px-3 h-8 text-sm text-primary-600 cursor-pointer'
+              className='flex items-center px-3 h-8 text-sm text-text-accent cursor-pointer'
               onClick={() => {
                 setOpen(false)
                 setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() })
diff --git a/web/app/components/header/account-setting/index.module.css b/web/app/components/header/account-setting/index.module.css
deleted file mode 100644
index bb855e1c86..0000000000
--- a/web/app/components/header/account-setting/index.module.css
+++ /dev/null
@@ -1,8 +0,0 @@
-.modal {
-  max-width: 1024px !important;
-  border-radius: 12px !important;
-  margin-top: 60px;
-  margin-bottom: 60px;
-  padding: 0 !important;
-  overflow-y: auto;
-}
\ No newline at end of file
diff --git a/web/app/components/header/account-setting/index.tsx b/web/app/components/header/account-setting/index.tsx
index 4be7ec6ab7..b3409c226a 100644
--- a/web/app/components/header/account-setting/index.tsx
+++ b/web/app/components/header/account-setting/index.tsx
@@ -2,8 +2,8 @@
 import { useTranslation } from 'react-i18next'
 import { useEffect, useRef, useState } from 'react'
 import {
-  RiBox3Fill,
-  RiBox3Line,
+  RiBrain2Fill,
+  RiBrain2Line,
   RiCloseLine,
   RiColorFilterFill,
   RiColorFilterLine,
@@ -17,26 +17,23 @@ import {
   RiPuzzle2Line,
   RiTranslate2,
 } from '@remixicon/react'
+import Button from '../../base/button'
 import MembersPage from './members-page'
 import LanguagePage from './language-page'
 import ApiBasedExtensionPage from './api-based-extension-page'
 import DataSourcePage from './data-source-page'
 import ModelProviderPage from './model-provider-page'
-import s from './index.module.css'
 import cn from '@/utils/classnames'
 import BillingPage from '@/app/components/billing/billing-page'
 import CustomPage from '@/app/components/custom/custom-page'
-import Modal from '@/app/components/base/modal'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import { useProviderContext } from '@/context/provider-context'
 import { useAppContext } from '@/context/app-context'
+import MenuDialog from '@/app/components/header/account-setting/menu-dialog'
+import Input from '@/app/components/base/input'
 
 const iconClassName = `
-  w-4 h-4 ml-3 mr-2
-`
-
-const scrolledClassName = `
-  border-b shadow-xs bg-white/[.98]
+  w-5 h-5 mr-2
 `
 
 type IAccountSettingProps = {
@@ -68,8 +65,8 @@ export default function AccountSetting({
       {
         key: 'provider',
         name: t('common.settings.provider'),
-        icon: <RiBox3Line className={iconClassName} />,
-        activeIcon: <RiBox3Fill className={iconClassName} />,
+        icon: <RiBrain2Line className={iconClassName} />,
+        activeIcon: <RiBrain2Fill className={iconClassName} />,
       },
       {
         key: 'members',
@@ -117,7 +114,7 @@ export default function AccountSetting({
     },
     {
       key: 'account-group',
-      name: t('common.settings.accountGroup'),
+      name: t('common.settings.generalGroup'),
       items: [
         {
           key: 'language',
@@ -144,32 +141,31 @@ export default function AccountSetting({
 
   const activeItem = [...menuItems[0].items, ...menuItems[1].items].find(item => item.key === activeMenu)
 
+  const [searchValue, setSearchValue] = useState<string>('')
+
   return (
-    <Modal
-      isShow
-      onClose={() => { }}
-      className={s.modal}
-      wrapperClassName='pt-[60px]'
+    <MenuDialog
+      show
+      onClose={onCancel}
     >
-      <div className='flex'>
-        <div className='w-[44px] sm:w-[200px] px-[1px] py-4 sm:p-4 border border-divider-burn shrink-0 sm:shrink-1 flex flex-col items-center sm:items-start'>
-          <div className='mb-8 ml-0 sm:ml-2 sm:text-base title-2xl-semi-bold text-text-primary'>{t('common.userProfile.settings')}</div>
+      <div className='mx-auto max-w-[1048px] h-[100vh] flex'>
+        <div className='w-[44px] sm:w-[224px] pl-4 pr-6 border-r border-divider-burn flex flex-col'>
+          <div className='mt-6 mb-8 px-3 py-2 text-text-primary title-2xl-semi-bold'>{t('common.userProfile.settings')}</div>
           <div className='w-full'>
             {
               menuItems.map(menuItem => (
-                <div key={menuItem.key} className='mb-4'>
+                <div key={menuItem.key} className='mb-2'>
                   {!isCurrentWorkspaceDatasetOperator && (
-                    <div className='px-2 mb-[6px] sm:text-xs system-xs-medium-uppercase text-text-tertiary'>{menuItem.name}</div>
+                    <div className='py-2 pl-3 pb-1 mb-0.5 system-xs-medium-uppercase text-text-tertiary'>{menuItem.name}</div>
                   )}
                   <div>
                     {
                       menuItem.items.map(item => (
                         <div
                           key={item.key}
-                          className={`
-                            flex items-center h-[37px] mb-[2px] text-sm cursor-pointer rounded-lg
-                            ${activeMenu === item.key ? 'system-sm-semibold text-components-menu-item-text-active bg-state-base-active' : 'system-sm-medium text-components-menu-item-text'}
-                          `}
+                          className={cn(
+                            'flex items-center mb-0.5 p-1 pl-3 h-[37px] text-sm cursor-pointer rounded-lg',
+                            activeMenu === item.key ? 'bg-state-base-active text-components-menu-item-text-active system-sm-semibold' : 'text-components-menu-item-text system-sm-medium')}
                           title={item.name}
                           onClick={() => setActiveMenu(item.key)}
                         >
@@ -184,31 +180,50 @@ export default function AccountSetting({
             }
           </div>
         </div>
-        <div ref={scrollRef} className='relative w-[824px] h-[720px] pb-4 overflow-y-auto'>
-          <div className={cn('sticky top-0 px-6 py-4 flex items-center h-14 mb-4 bg-components-panel-bg title-2xl-semi-bold text-text-primary z-20', scrolled && scrolledClassName)}>
-            <div className='shrink-0'>{activeItem?.name}</div>
-            {
-              activeItem?.description && (
-                <div className='shrink-0 ml-2 text-xs text-gray-600'>{activeItem?.description}</div>
-              )
-            }
-            <div className='grow flex justify-end'>
-              <div className='z-[10] flex items-center justify-center -mr-4 p-2 cursor-pointer rounded-[10px] hover:bg-components-button-tertiary-bg' onClick={onCancel}>
-                <RiCloseLine className='w-5 h-5 text-components-button-tertiary-text' />
-              </div>
-            </div>
+        <div className='relative flex w-[824px]'>
+          <div className='absolute top-6 -right-11 flex flex-col items-center z-[9999]'>
+            <Button
+              variant='tertiary'
+              size='large'
+              className='px-2'
+              onClick={onCancel}
+            >
+              <RiCloseLine className='w-5 h-5' />
+            </Button>
+            <div className='mt-1 text-text-tertiary system-2xs-medium-uppercase'>ESC</div>
           </div>
-          <div className='px-4 sm:px-8 pt-2'>
-            {activeMenu === 'members' && <MembersPage />}
-            {activeMenu === 'billing' && <BillingPage />}
-            {activeMenu === 'language' && <LanguagePage />}
-            {activeMenu === 'provider' && <ModelProviderPage />}
-            {activeMenu === 'data-source' && <DataSourcePage />}
-            {activeMenu === 'api-based-extension' && <ApiBasedExtensionPage />}
-            {activeMenu === 'custom' && <CustomPage />}
+          <div ref={scrollRef} className='w-full pb-4 bg-components-panel-bg overflow-y-auto'>
+            <div className={cn('sticky top-0 mx-8 pt-[27px] pb-2 mb-[18px] flex items-center bg-components-panel-bg z-20', scrolled && 'border-b border-divider-regular')}>
+              <div className='shrink-0 text-text-primary title-2xl-semi-bold'>{activeItem?.name}</div>
+              {
+                activeItem?.description && (
+                  <div className='shrink-0 ml-2 text-xs text-text-tertiary'>{activeItem?.description}</div>
+                )
+              }
+              {activeItem?.key === 'provider' && (
+                <div className='grow flex justify-end'>
+                  <Input
+                    showLeftIcon
+                    wrapperClassName='!w-[200px]'
+                    className='!h-8 !text-[13px]'
+                    onChange={e => setSearchValue(e.target.value)}
+                    value={searchValue}
+                  />
+                </div>
+              )}
+            </div>
+            <div className='px-4 sm:px-8 pt-2'>
+              {activeMenu === 'provider' && <ModelProviderPage searchText={searchValue} />}
+              {activeMenu === 'members' && <MembersPage />}
+              {activeMenu === 'billing' && <BillingPage />}
+              {activeMenu === 'data-source' && <DataSourcePage />}
+              {activeMenu === 'api-based-extension' && <ApiBasedExtensionPage />}
+              {activeMenu === 'custom' && <CustomPage />}
+              {activeMenu === 'language' && <LanguagePage />}
+            </div>
           </div>
         </div>
       </div>
-    </Modal>
+    </MenuDialog>
   )
 }
diff --git a/web/app/components/header/account-setting/members-page/index.tsx b/web/app/components/header/account-setting/members-page/index.tsx
index de3fef9b95..366a8a92ba 100644
--- a/web/app/components/header/account-setting/members-page/index.tsx
+++ b/web/app/components/header/account-setting/members-page/index.tsx
@@ -47,7 +47,7 @@ const MembersPage = () => {
   return (
     <>
       <div className='flex flex-col'>
-        <div className='flex items-center mb-4 p-3 bg-gray-50 rounded-2xl'>
+        <div className='flex items-center mb-4 p-3 gap-1 bg-gray-50 rounded-2xl'>
           <LogoEmbeddedChatHeader className='!w-10 !h-10' />
           <div className='grow mx-2'>
             <div className='text-sm font-medium text-gray-900'>{currentWorkspace?.name}</div>
diff --git a/web/app/components/header/account-setting/menu-dialog.tsx b/web/app/components/header/account-setting/menu-dialog.tsx
new file mode 100644
index 0000000000..76296b84dd
--- /dev/null
+++ b/web/app/components/header/account-setting/menu-dialog.tsx
@@ -0,0 +1,59 @@
+import { Fragment, useCallback, useEffect } from 'react'
+import type { ReactNode } from 'react'
+import { Dialog, Transition } from '@headlessui/react'
+import cn from '@/utils/classnames'
+
+type DialogProps = {
+  className?: string
+  children: ReactNode
+  show: boolean
+  onClose?: () => void
+}
+
+const MenuDialog = ({
+  className,
+  children,
+  show,
+  onClose,
+}: DialogProps) => {
+  const close = useCallback(() => onClose?.(), [onClose])
+
+  useEffect(() => {
+    const handleKeyDown = (event: KeyboardEvent) => {
+      if (event.key === 'Escape')
+        close()
+    }
+
+    document.addEventListener('keydown', handleKeyDown)
+    return () => {
+      document.removeEventListener('keydown', handleKeyDown)
+    }
+  }, [close])
+
+  return (
+    <Transition appear show={show} as={Fragment}>
+      <Dialog as="div" className="relative z-[60]" onClose={() => {}}>
+        <div className="fixed inset-0">
+          <div className="flex flex-col items-center justify-center min-h-full">
+            <Transition.Child
+              as={Fragment}
+              enter="ease-out duration-300"
+              enterFrom="opacity-0 scale-95"
+              enterTo="opacity-100 scale-100"
+              leave="ease-in duration-200"
+              leaveFrom="opacity-100 scale-100"
+              leaveTo="opacity-0 scale-95"
+            >
+              <Dialog.Panel className={cn('grow relative w-full h-full p-0 overflow-hidden text-left align-middle transition-all transform bg-background-sidenav-bg backdrop-blur-md', className)}>
+                <div className='absolute top-0 right-0 h-full w-1/2 bg-components-panel-bg' />
+                {children}
+              </Dialog.Panel>
+            </Transition.Child>
+          </div>
+        </div>
+      </Dialog>
+    </Transition >
+  )
+}
+
+export default MenuDialog
diff --git a/web/app/components/header/account-setting/model-provider-page/declarations.ts b/web/app/components/header/account-setting/model-provider-page/declarations.ts
index 02f178c52f..486a1e44f5 100644
--- a/web/app/components/header/account-setting/model-provider-page/declarations.ts
+++ b/web/app/components/header/account-setting/model-provider-page/declarations.ts
@@ -15,6 +15,10 @@ export enum FormTypeEnum {
   boolean = 'boolean',
   files = 'files',
   file = 'file',
+  modelSelector = 'model-selector',
+  toolSelector = 'tool-selector',
+  multiToolSelector = 'array[tools]',
+  appSelector = 'app-selector',
 }
 
 export type FormOption = {
@@ -109,9 +113,19 @@ export type CredentialFormSchemaBase = {
   tooltip?: TypeWithI18N
   show_on: FormShowOnObject[]
   url?: string
+  scope?: string
 }
 
-export type CredentialFormSchemaTextInput = CredentialFormSchemaBase & { max_length?: number; placeholder?: TypeWithI18N }
+export type CredentialFormSchemaTextInput = CredentialFormSchemaBase & {
+  max_length?: number;
+  placeholder?: TypeWithI18N,
+  template?: {
+    enabled: boolean
+  },
+  auto_generate?: {
+    type: string
+  }
+}
 export type CredentialFormSchemaNumberInput = CredentialFormSchemaBase & { min?: number; max?: number; placeholder?: TypeWithI18N }
 export type CredentialFormSchemaSelect = CredentialFormSchemaBase & { options: FormOption[]; placeholder?: TypeWithI18N }
 export type CredentialFormSchemaRadio = CredentialFormSchemaBase & { options: FormOption[] }
diff --git a/web/app/components/header/account-setting/model-provider-page/hooks.ts b/web/app/components/header/account-setting/model-provider-page/hooks.ts
index 54396cc538..48acaeb64a 100644
--- a/web/app/components/header/account-setting/model-provider-page/hooks.ts
+++ b/web/app/components/header/account-setting/model-provider-page/hooks.ts
@@ -11,10 +11,12 @@ import type {
   DefaultModel,
   DefaultModelResponse,
   Model,
+  ModelProvider,
   ModelTypeEnum,
 } from './declarations'
 import {
   ConfigurationMethodEnum,
+  CustomConfigurationStatusEnum,
   ModelStatusEnum,
 } from './declarations'
 import I18n from '@/context/i18n'
@@ -26,6 +28,15 @@ import {
   getPayUrl,
 } from '@/service/common'
 import { useProviderContext } from '@/context/provider-context'
+import {
+  useMarketplacePlugins,
+} from '@/app/components/plugins/marketplace/hooks'
+import type { Plugin } from '@/app/components/plugins/types'
+import { PluginType } from '@/app/components/plugins/types'
+import { getMarketplacePluginsByCollectionId } from '@/app/components/plugins/marketplace/utils'
+import { useModalContextSelector } from '@/context/modal-context'
+import { useEventEmitterContextContext } from '@/context/event-emitter'
+import { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './provider-added-card'
 
 type UseDefaultModelAndModelList = (
   defaultModel: DefaultModelResponse | undefined,
@@ -233,3 +244,110 @@ export const useUpdateModelProviders = () => {
 
   return updateModelProviders
 }
+
+export const useMarketplaceAllPlugins = (providers: ModelProvider[], searchText: string) => {
+  const exclude = useMemo(() => {
+    return providers.map(provider => provider.provider.replace(/(.+)\/([^/]+)$/, '$1'))
+  }, [providers])
+  const [collectionPlugins, setCollectionPlugins] = useState<Plugin[]>([])
+
+  const {
+    plugins,
+    queryPlugins,
+    queryPluginsWithDebounced,
+    isLoading,
+  } = useMarketplacePlugins()
+
+  const getCollectionPlugins = useCallback(async () => {
+    const collectionPlugins = await getMarketplacePluginsByCollectionId('__model-settings-pinned-models')
+
+    setCollectionPlugins(collectionPlugins)
+  }, [])
+
+  useEffect(() => {
+    getCollectionPlugins()
+  }, [getCollectionPlugins])
+
+  useEffect(() => {
+    if (searchText) {
+      queryPluginsWithDebounced({
+        query: searchText,
+        category: PluginType.model,
+        exclude,
+        type: 'plugin',
+        sortBy: 'install_count',
+        sortOrder: 'DESC',
+      })
+    }
+    else {
+      queryPlugins({
+        query: '',
+        category: PluginType.model,
+        type: 'plugin',
+        pageSize: 1000,
+        exclude,
+        sortBy: 'install_count',
+        sortOrder: 'DESC',
+      })
+    }
+  }, [queryPlugins, queryPluginsWithDebounced, searchText, exclude])
+
+  const allPlugins = useMemo(() => {
+    const allPlugins = [...collectionPlugins.filter(plugin => !exclude.includes(plugin.plugin_id))]
+
+    if (plugins?.length) {
+      for (let i = 0; i < plugins.length; i++) {
+        const plugin = plugins[i]
+
+        if (plugin.type !== 'bundle' && !allPlugins.find(p => p.plugin_id === plugin.plugin_id))
+          allPlugins.push(plugin)
+      }
+    }
+
+    return allPlugins
+  }, [plugins, collectionPlugins, exclude])
+
+  return {
+    plugins: allPlugins,
+    isLoading,
+  }
+}
+
+export const useModelModalHandler = () => {
+  const setShowModelModal = useModalContextSelector(state => state.setShowModelModal)
+  const updateModelProviders = useUpdateModelProviders()
+  const updateModelList = useUpdateModelList()
+  const { eventEmitter } = useEventEmitterContextContext()
+
+  return (
+    provider: ModelProvider,
+    configurationMethod: ConfigurationMethodEnum,
+    CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields,
+  ) => {
+    setShowModelModal({
+      payload: {
+        currentProvider: provider,
+        currentConfigurationMethod: configurationMethod,
+        currentCustomConfigurationModelFixedFields: CustomConfigurationModelFixedFields,
+      },
+      onSaveCallback: () => {
+        updateModelProviders()
+
+        provider.supported_model_types.forEach((type) => {
+          updateModelList(type)
+        })
+
+        if (configurationMethod === ConfigurationMethodEnum.customizableModel
+            && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) {
+          eventEmitter?.emit({
+            type: UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST,
+            payload: provider.provider,
+          } as any)
+
+          if (CustomConfigurationModelFixedFields?.__model_type)
+            updateModelList(CustomConfigurationModelFixedFields.__model_type)
+        }
+      },
+    })
+  }
+}
diff --git a/web/app/components/header/account-setting/model-provider-page/index.tsx b/web/app/components/header/account-setting/model-provider-page/index.tsx
index a8a5a0cf42..949352a265 100644
--- a/web/app/components/header/account-setting/model-provider-page/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/index.tsx
@@ -1,39 +1,53 @@
-import { useMemo } from 'react'
+import { useCallback, useMemo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import Link from 'next/link'
+import { useDebounce } from 'ahooks'
+import {
+  RiAlertFill,
+  RiArrowDownSLine,
+  RiArrowRightUpLine,
+  RiBrainLine,
+} from '@remixicon/react'
 import SystemModelSelector from './system-model-selector'
-import ProviderAddedCard, { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './provider-added-card'
-import ProviderCard from './provider-card'
+import ProviderAddedCard from './provider-added-card'
 import type {
+  ConfigurationMethodEnum,
   CustomConfigurationModelFixedFields,
+
   ModelProvider,
 } from './declarations'
 import {
-  ConfigurationMethodEnum,
   CustomConfigurationStatusEnum,
   ModelTypeEnum,
 } from './declarations'
 import {
   useDefaultModel,
-  useUpdateModelList,
-  useUpdateModelProviders,
+  useMarketplaceAllPlugins,
+  useModelModalHandler,
 } from './hooks'
-import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback'
+import Divider from '@/app/components/base/divider'
+import Loading from '@/app/components/base/loading'
+import ProviderCard from '@/app/components/plugins/provider-card'
+import List from '@/app/components/plugins/marketplace/list'
 import { useProviderContext } from '@/context/provider-context'
-import { useModalContextSelector } from '@/context/modal-context'
-import { useEventEmitterContextContext } from '@/context/event-emitter'
+import type { Plugin } from '@/app/components/plugins/types'
+import { MARKETPLACE_URL_PREFIX } from '@/config'
+import cn from '@/utils/classnames'
+import { getLocaleOnClient } from '@/i18n'
 
-const ModelProviderPage = () => {
+type Props = {
+  searchText: string
+}
+
+const ModelProviderPage = ({ searchText }: Props) => {
+  const debouncedSearchText = useDebounce(searchText, { wait: 500 })
   const { t } = useTranslation()
-  const { eventEmitter } = useEventEmitterContextContext()
-  const updateModelProviders = useUpdateModelProviders()
-  const updateModelList = useUpdateModelList()
   const { data: textGenerationDefaultModel } = useDefaultModel(ModelTypeEnum.textGeneration)
   const { data: embeddingsDefaultModel } = useDefaultModel(ModelTypeEnum.textEmbedding)
   const { data: rerankDefaultModel } = useDefaultModel(ModelTypeEnum.rerank)
   const { data: speech2textDefaultModel } = useDefaultModel(ModelTypeEnum.speech2text)
   const { data: ttsDefaultModel } = useDefaultModel(ModelTypeEnum.tts)
   const { modelProviders: providers } = useProviderContext()
-  const setShowModelModal = useModalContextSelector(state => state.setShowModelModal)
   const defaultModelNotConfigured = !textGenerationDefaultModel && !embeddingsDefaultModel && !speech2textDefaultModel && !rerankDefaultModel && !ttsDefaultModel
   const [configuredProviders, notConfiguredProviders] = useMemo(() => {
     const configuredProviders: ModelProvider[] = []
@@ -54,97 +68,125 @@ const ModelProviderPage = () => {
 
     return [configuredProviders, notConfiguredProviders]
   }, [providers])
+  const [filteredConfiguredProviders, filteredNotConfiguredProviders] = useMemo(() => {
+    const filteredConfiguredProviders = configuredProviders.filter(
+      provider => provider.provider.toLowerCase().includes(debouncedSearchText.toLowerCase())
+        || Object.values(provider.label).some(text => text.toLowerCase().includes(debouncedSearchText.toLowerCase())),
+    )
+    const filteredNotConfiguredProviders = notConfiguredProviders.filter(
+      provider => provider.provider.toLowerCase().includes(debouncedSearchText.toLowerCase())
+        || Object.values(provider.label).some(text => text.toLowerCase().includes(debouncedSearchText.toLowerCase())),
+    )
 
-  const handleOpenModal = (
-    provider: ModelProvider,
-    configurateMethod: ConfigurationMethodEnum,
-    CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields,
-  ) => {
-    setShowModelModal({
-      payload: {
-        currentProvider: provider,
-        currentConfigurationMethod: configurateMethod,
-        currentCustomConfigurationModelFixedFields: CustomConfigurationModelFixedFields,
-      },
-      onSaveCallback: () => {
-        updateModelProviders()
+    return [filteredConfiguredProviders, filteredNotConfiguredProviders]
+  }, [configuredProviders, debouncedSearchText, notConfiguredProviders])
 
-        if (configurateMethod === ConfigurationMethodEnum.predefinedModel) {
-          provider.supported_model_types.forEach((type) => {
-            updateModelList(type)
-          })
-        }
+  const handleOpenModal = useModelModalHandler()
+  const [collapse, setCollapse] = useState(false)
+  const locale = getLocaleOnClient()
+  const {
+    plugins: allPlugins,
+    isLoading: isAllPluginsLoading,
+  } = useMarketplaceAllPlugins(providers, searchText)
 
-        if (configurateMethod === ConfigurationMethodEnum.customizableModel && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) {
-          eventEmitter?.emit({
-            type: UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST,
-            payload: provider.provider,
-          } as any)
+  const cardRender = useCallback((plugin: Plugin) => {
+    if (plugin.type === 'bundle')
+      return null
 
-          if (CustomConfigurationModelFixedFields?.__model_type)
-            updateModelList(CustomConfigurationModelFixedFields?.__model_type)
-        }
-      },
-    })
-  }
+    return <ProviderCard key={plugin.plugin_id} payload={plugin} />
+  }, [])
 
   return (
     <div className='relative pt-1 -mt-2'>
-      <div className={`flex items-center justify-between mb-2 h-8 ${defaultModelNotConfigured && 'px-3 bg-[#FFFAEB] rounded-lg border border-[#FEF0C7]'}`}>
-        {
-          defaultModelNotConfigured
-            ? (
-              <div className='flex items-center text-xs font-medium text-gray-700'>
-                <AlertTriangle className='mr-1 w-3 h-3 text-[#F79009]' />
-                {t('common.modelProvider.notConfigured')}
-              </div>
-            )
-            : <div className='text-sm font-medium text-gray-800'>{t('common.modelProvider.models')}</div>
-        }
-        <SystemModelSelector
-          textGenerationDefaultModel={textGenerationDefaultModel}
-          embeddingsDefaultModel={embeddingsDefaultModel}
-          rerankDefaultModel={rerankDefaultModel}
-          speech2textDefaultModel={speech2textDefaultModel}
-          ttsDefaultModel={ttsDefaultModel}
-        />
+      <div className={cn('flex items-center mb-2')}>
+        <div className='grow text-text-primary system-md-semibold'>{t('common.modelProvider.models')}</div>
+        <div className={cn(
+          'shrink-0 relative flex items-center justify-end gap-2 p-px rounded-lg border border-transparent',
+          defaultModelNotConfigured && 'pl-2 bg-components-panel-bg-blur border-components-panel-border shadow-xs',
+        )}>
+          {defaultModelNotConfigured && <div className='absolute top-0 bottom-0 right-0 left-0 opacity-40' style={{ background: 'linear-gradient(92deg, rgba(247, 144, 9, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%)' }} />}
+          {defaultModelNotConfigured && (
+            <div className='flex items-center gap-1 text-text-primary system-xs-medium'>
+              <RiAlertFill className='w-4 h-4 text-text-warning-secondary' />
+              {t('common.modelProvider.notConfigured')}
+            </div>
+          )}
+          <SystemModelSelector
+            notConfigured={defaultModelNotConfigured}
+            textGenerationDefaultModel={textGenerationDefaultModel}
+            embeddingsDefaultModel={embeddingsDefaultModel}
+            rerankDefaultModel={rerankDefaultModel}
+            speech2textDefaultModel={speech2textDefaultModel}
+            ttsDefaultModel={ttsDefaultModel}
+          />
+        </div>
       </div>
-      {
-        !!configuredProviders?.length && (
-          <div className='pb-3'>
-            {
-              configuredProviders?.map(provider => (
-                <ProviderAddedCard
-                  key={provider.provider}
-                  provider={provider}
-                  onOpenModal={(configurateMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurateMethod, currentCustomConfigurationModelFixedFields)}
-                />
-              ))
-            }
+      {!filteredConfiguredProviders?.length && (
+        <div className='mb-2 p-4 rounded-[10px] bg-workflow-process-bg'>
+          <div className='w-10 h-10 flex items-center justify-center rounded-[10px] border-[0.5px] border-components-card-border bg-components-card-bg shadow-lg backdrop-blur'>
+            <RiBrainLine className='w-5 h-5 text-text-primary' />
           </div>
-        )
-      }
-      {
-        !!notConfiguredProviders?.length && (
-          <>
-            <div className='flex items-center mb-2 text-xs font-semibold text-gray-500'>
-              + {t('common.modelProvider.addMoreModelProvider')}
-              <span className='grow ml-3 h-[1px] bg-gradient-to-r from-[#f3f4f6]' />
-            </div>
-            <div className='grid grid-cols-3 gap-2'>
-              {
-                notConfiguredProviders?.map(provider => (
-                  <ProviderCard
-                    key={provider.provider}
-                    provider={provider}
-                    onOpenModal={(configurateMethod: ConfigurationMethodEnum) => handleOpenModal(provider, configurateMethod)}
-                  />
-                ))
-              }
-            </div>
-          </>
-        )
-      }
+          <div className='mt-2 text-text-secondary system-sm-medium'>{t('common.modelProvider.emptyProviderTitle')}</div>
+          <div className='mt-1 text-text-tertiary system-xs-regular'>{t('common.modelProvider.emptyProviderTip')}</div>
+        </div>
+      )}
+      {!!filteredConfiguredProviders?.length && (
+        <div className='relative'>
+          {filteredConfiguredProviders?.map(provider => (
+            <ProviderAddedCard
+              key={provider.provider}
+              provider={provider}
+              onOpenModal={(configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurationMethod, currentCustomConfigurationModelFixedFields)}
+            />
+          ))}
+        </div>
+      )}
+      {!!filteredNotConfiguredProviders?.length && (
+        <>
+          <div className='flex items-center mb-2 pt-2 text-text-primary system-md-semibold'>{t('common.modelProvider.toBeConfigured')}</div>
+          <div className='relative'>
+            {filteredNotConfiguredProviders?.map(provider => (
+              <ProviderAddedCard
+                notConfigured
+                key={provider.provider}
+                provider={provider}
+                onOpenModal={(configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurationMethod, currentCustomConfigurationModelFixedFields)}
+              />
+            ))}
+          </div>
+        </>
+      )}
+      <div className='mb-2'>
+        <Divider className='!mt-4 h-px' />
+        <div className='flex items-center justify-between'>
+          <div className='flex items-center gap-1 text-text-primary system-md-semibold cursor-pointer' onClick={() => setCollapse(!collapse)}>
+            <RiArrowDownSLine className={cn('w-4 h-4', collapse && '-rotate-90')} />
+            {t('common.modelProvider.installProvider')}
+          </div>
+          <div className='flex items-center mb-2 pt-2'>
+            <span className='pr-1 text-text-tertiary system-sm-regular'>{t('common.modelProvider.discoverMore')}</span>
+            <Link target="_blank" href={`${MARKETPLACE_URL_PREFIX}`} className='inline-flex items-center system-sm-medium text-text-accent'>
+              {t('plugin.marketplace.difyMarketplace')}
+              <RiArrowRightUpLine className='w-4 h-4' />
+            </Link>
+          </div>
+        </div>
+        {!collapse && isAllPluginsLoading && <Loading type='area' />}
+        {
+          !isAllPluginsLoading && !collapse && (
+            <List
+              marketplaceCollections={[]}
+              marketplaceCollectionPluginsMap={{}}
+              plugins={allPlugins}
+              showInstallButton
+              locale={locale}
+              cardContainerClassName='grid grid-cols-2 gap-2'
+              cardRender={cardRender}
+              emptyClassName='h-auto'
+            />
+          )
+        }
+      </div>
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx
index a16b101e6a..fc59bd0e75 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx
@@ -4,40 +4,45 @@ import type {
   ModelProvider,
 } from '../declarations'
 import { useLanguage } from '../hooks'
-import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes'
-import { OpenaiViolet } from '@/app/components/base/icons/src/public/llm'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+import { OpenaiBlue, OpenaiViolet } from '@/app/components/base/icons/src/public/llm'
+import cn from '@/utils/classnames'
+import { renderI18nObject } from '@/hooks/use-i18n'
 
 type ModelIconProps = {
   provider?: Model | ModelProvider
   modelName?: string
   className?: string
+  isDeprecated?: boolean
 }
 const ModelIcon: FC<ModelIconProps> = ({
   provider,
   className,
   modelName,
+  isDeprecated = false,
 }) => {
   const language = useLanguage()
-
-  if (provider?.provider === 'openai' && (modelName?.startsWith('gpt-4') || modelName?.includes('4o')))
-    return <OpenaiViolet className={`w-4 h-4 ${className}`}/>
+  if (provider?.provider.includes('openai') && modelName?.includes('gpt-4o'))
+    return <div className='flex items-center justify-center'><OpenaiBlue className={cn('w-5 h-5', className)} /></div>
+  if (provider?.provider.includes('openai') && modelName?.startsWith('gpt-4'))
+    return <div className='flex items-center justify-center'><OpenaiViolet className={cn('w-5 h-5', className)} /></div>
 
   if (provider?.icon_small) {
     return (
-      <img
-        alt='model-icon'
-        src={`${provider.icon_small[language] || provider.icon_small.en_US}`}
-        className={`w-4 h-4 ${className}`}
-      />
+      <div className={cn('flex items-center justify-center w-5 h-5', isDeprecated && 'opacity-50', className)}>
+        <img alt='model-icon' src={renderI18nObject(provider.icon_small, language)}/>
+      </div>
     )
   }
 
   return (
-    <div className={`
-      flex items-center justify-center w-6 h-6 rounded border-[0.5px] border-black/5 bg-gray-50
-      ${className}
-    `}>
-      <CubeOutline className='w-4 h-4 text-gray-400' />
+    <div className={cn(
+      'flex items-center justify-center rounded-md border-[0.5px] w-5 h-5 border-components-panel-border-subtle bg-background-default-subtle',
+      className,
+    )}>
+      <div className='flex w-5 h-5 items-center justify-center opacity-35'>
+        <Group className='text-text-tertiary w-3 h-3' />
+      </div>
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
index e8e92ca800..0da6b863a3 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx
@@ -1,5 +1,5 @@
-import { useState } from 'react'
-import type { FC } from 'react'
+import { useCallback, useState } from 'react'
+import type { ReactNode } from 'react'
 import { ValidatingTip } from '../../key-validator/ValidateStatus'
 import type {
   CredentialFormSchema,
@@ -17,24 +17,48 @@ import cn from '@/utils/classnames'
 import { SimpleSelect } from '@/app/components/base/select'
 import Tooltip from '@/app/components/base/tooltip'
 import Radio from '@/app/components/base/radio'
-type FormProps = {
+import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector'
+import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector'
+import MultipleToolSelector from '@/app/components/plugins/plugin-detail-panel/multiple-tool-selector'
+import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector'
+import RadioE from '@/app/components/base/radio/ui'
+import type {
+  NodeOutPutVar,
+} from '@/app/components/workflow/types'
+import type { Node } from 'reactflow'
+
+type FormProps<
+  CustomFormSchema extends Omit<CredentialFormSchema, 'type'> & { type: string } = never,
+> = {
   className?: string
   itemClassName?: string
   fieldLabelClassName?: string
   value: FormValue
   onChange: (val: FormValue) => void
-  formSchemas: CredentialFormSchema[]
+  formSchemas: Array<CredentialFormSchema | CustomFormSchema>
   validating: boolean
   validatedSuccess?: boolean
   showOnVariableMap: Record<string, string[]>
   isEditMode: boolean
+  isAgentStrategy?: boolean
   readonly?: boolean
   inputClassName?: string
   isShowDefaultValue?: boolean
-  fieldMoreInfo?: (payload: CredentialFormSchema) => JSX.Element | null
+  fieldMoreInfo?: (payload: CredentialFormSchema | CustomFormSchema) => ReactNode
+  customRenderField?: (
+    formSchema: CustomFormSchema,
+    props: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'>
+  ) => ReactNode
+  // If return falsy value, this field will fallback to default render
+  override?: [Array<FormTypeEnum>, (formSchema: CredentialFormSchema, props: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'>) => ReactNode]
+  nodeId?: string
+  nodeOutputVars?: NodeOutPutVar[],
+  availableNodes?: Node[],
 }
 
-const Form: FC<FormProps> = ({
+function Form<
+  CustomFormSchema extends Omit<CredentialFormSchema, 'type'> & { type: string } = never,
+>({
   className,
   itemClassName,
   fieldLabelClassName,
@@ -45,13 +69,35 @@ const Form: FC<FormProps> = ({
   validatedSuccess,
   showOnVariableMap,
   isEditMode,
+  isAgentStrategy = false,
   readonly,
   inputClassName,
   isShowDefaultValue = false,
   fieldMoreInfo,
-}) => {
+  customRenderField,
+  override,
+  nodeId,
+  nodeOutputVars,
+  availableNodes,
+}: FormProps<CustomFormSchema>) {
   const language = useLanguage()
   const [changeKey, setChangeKey] = useState('')
+  const filteredProps: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'> = {
+    className,
+    itemClassName,
+    fieldLabelClassName,
+    value,
+    onChange,
+    formSchemas,
+    validating,
+    validatedSuccess,
+    showOnVariableMap,
+    isEditMode,
+    readonly,
+    inputClassName,
+    isShowDefaultValue,
+    fieldMoreInfo,
+  }
 
   const handleFormChange = (key: string, val: string | boolean) => {
     if (isEditMode && (key === '__model_type' || key === '__model_name'))
@@ -68,25 +114,37 @@ const Form: FC<FormProps> = ({
     onChange({ ...value, [key]: val, ...shouldClearVariable })
   }
 
-  const renderField = (formSchema: CredentialFormSchema) => {
+  const handleModelChanged = useCallback((key: string, model: any) => {
+    const newValue = {
+      ...value[key],
+      ...model,
+      type: FormTypeEnum.modelSelector,
+    }
+    onChange({ ...value, [key]: newValue })
+  }, [onChange, value])
+
+  const renderField = (formSchema: CredentialFormSchema | CustomFormSchema) => {
     const tooltip = formSchema.tooltip
     const tooltipContent = (tooltip && (
       <Tooltip
-        popupContent={
-          <div className='w-[200px]'>
-            {tooltip[language] || tooltip.en_US}
-          </div>}
+        popupContent={<div className='w-[200px]'>
+          {tooltip[language] || tooltip.en_US}
+        </div>}
         triggerClassName='ml-1 w-4 h-4'
-        asChild={false}
-      />
+        asChild={false} />
     ))
+    if (override) {
+      const [overrideTypes, overrideRender] = override
+      if (overrideTypes.includes(formSchema.type as FormTypeEnum)) {
+        const node = overrideRender(formSchema as CredentialFormSchema, filteredProps)
+        if (node)
+          return node
+      }
+    }
+
     if (formSchema.type === FormTypeEnum.textInput || formSchema.type === FormTypeEnum.secretInput || formSchema.type === FormTypeEnum.textNumber) {
       const {
-        variable,
-        label,
-        placeholder,
-        required,
-        show_on,
+        variable, label, placeholder, required, show_on,
       } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput)
 
       if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value))
@@ -95,13 +153,11 @@ const Form: FC<FormProps> = ({
       const disabled = readonly || (isEditMode && (variable === '__model_type' || variable === '__model_name'))
       return (
         <div key={variable} className={cn(itemClassName, 'py-3')}>
-          <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
             {label[language] || label.en_US}
-            {
-              required && (
-                <span className='ml-1 text-red-500'>*</span>
-              )
-            }
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
             {tooltipContent}
           </div>
           <Input
@@ -112,8 +168,7 @@ const Form: FC<FormProps> = ({
             placeholder={placeholder?.[language] || placeholder?.en_US}
             disabled={disabled}
             type={formSchema.type === FormTypeEnum.textNumber ? 'number' : 'text'}
-            {...(formSchema.type === FormTypeEnum.textNumber ? { min: (formSchema as CredentialFormSchemaNumberInput).min, max: (formSchema as CredentialFormSchemaNumberInput).max } : {})}
-          />
+            {...(formSchema.type === FormTypeEnum.textNumber ? { min: (formSchema as CredentialFormSchemaNumberInput).min, max: (formSchema as CredentialFormSchemaNumberInput).max } : {})} />
           {fieldMoreInfo?.(formSchema)}
           {validating && changeKey === variable && <ValidatingTip />}
         </div>
@@ -122,11 +177,7 @@ const Form: FC<FormProps> = ({
 
     if (formSchema.type === FormTypeEnum.radio) {
       const {
-        options,
-        variable,
-        label,
-        show_on,
-        required,
+        options, variable, label, show_on, required,
       } = formSchema as CredentialFormSchemaRadio
 
       if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value))
@@ -136,40 +187,34 @@ const Form: FC<FormProps> = ({
 
       return (
         <div key={variable} className={cn(itemClassName, 'py-3')}>
-          <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
             {label[language] || label.en_US}
-            {
-              required && (
-                <span className='ml-1 text-red-500'>*</span>
-              )
-            }
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
             {tooltipContent}
           </div>
           <div className={`grid grid-cols-${options?.length} gap-3`}>
-            {
-              options.filter((option) => {
-                if (option.show_on.length)
-                  return option.show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)
+            {options.filter((option) => {
+              if (option.show_on.length)
+                return option.show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)
 
-                return true
-              }).map(option => (
-                <div
-                  className={`
-                    flex items-center px-3 py-2 rounded-lg border border-gray-100 bg-gray-25 cursor-pointer
-                    ${value[variable] === option.value && 'bg-white border-[1.5px] border-primary-400 shadow-sm'}
+              return true
+            }).map(option => (
+              <div
+                className={`
+                    flex items-center gap-2 px-3 py-2 rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg cursor-pointer
+                    ${value[variable] === option.value && 'bg-components-option-card-option-selected-bg border-[1.5px] border-components-option-card-option-selected-border shadow-sm'}
                     ${disabled && '!cursor-not-allowed opacity-60'}
                   `}
-                  onClick={() => handleFormChange(variable, option.value)}
-                  key={`${variable}-${option.value}`}
-                >
-                  <div className={`
-                    flex justify-center items-center mr-2 w-4 h-4 border border-gray-300 rounded-full
-                    ${value[variable] === option.value && 'border-[5px] border-primary-600'}
-                  `} />
-                  <div className='text-sm text-gray-900'>{option.label[language] || option.label.en_US}</div>
-                </div>
-              ))
-            }
+                onClick={() => handleFormChange(variable, option.value)}
+                key={`${variable}-${option.value}`}
+              >
+                <RadioE isChecked={value[variable] === option.value} />
+
+                <div className='system-sm-regular text-text-secondary'>{option.label[language] || option.label.en_US}</div>
+              </div>
+            ))}
           </div>
           {fieldMoreInfo?.(formSchema)}
           {validating && changeKey === variable && <ValidatingTip />}
@@ -177,14 +222,9 @@ const Form: FC<FormProps> = ({
       )
     }
 
-    if (formSchema.type === 'select') {
+    if (formSchema.type === FormTypeEnum.select) {
       const {
-        options,
-        variable,
-        label,
-        show_on,
-        required,
-        placeholder,
+        options, variable, label, show_on, required, placeholder,
       } = formSchema as CredentialFormSchemaSelect
 
       if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value))
@@ -192,17 +232,16 @@ const Form: FC<FormProps> = ({
 
       return (
         <div key={variable} className={cn(itemClassName, 'py-3')}>
-          <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
             {label[language] || label.en_US}
 
-            {
-              required && (
-                <span className='ml-1 text-red-500'>*</span>
-              )
-            }
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
             {tooltipContent}
           </div>
           <SimpleSelect
+            wrapperClassName='h-8'
             className={cn(inputClassName)}
             disabled={readonly}
             defaultValue={(isShowDefaultValue && ((value[variable] as string) === '' || value[variable] === undefined || value[variable] === null)) ? formSchema.default : value[variable]}
@@ -213,20 +252,16 @@ const Form: FC<FormProps> = ({
               return true
             }).map(option => ({ value: option.value, name: option.label[language] || option.label.en_US }))}
             onSelect={item => handleFormChange(variable, item.value as string)}
-            placeholder={placeholder?.[language] || placeholder?.en_US}
-          />
+            placeholder={placeholder?.[language] || placeholder?.en_US} />
           {fieldMoreInfo?.(formSchema)}
           {validating && changeKey === variable && <ValidatingTip />}
         </div>
       )
     }
 
-    if (formSchema.type === 'boolean') {
+    if (formSchema.type === FormTypeEnum.boolean) {
       const {
-        variable,
-        label,
-        show_on,
-        required,
+        variable, label, show_on, required,
       } = formSchema as CredentialFormSchemaRadio
 
       if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value))
@@ -234,14 +269,12 @@ const Form: FC<FormProps> = ({
 
       return (
         <div key={variable} className={cn(itemClassName, 'py-3')}>
-          <div className='flex items-center justify-between py-2 text-sm text-gray-900'>
+          <div className='flex items-center justify-between py-2 system-sm-semibold text-text-secondary'>
             <div className='flex items-center space-x-2'>
-              <span className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}>{label[language] || label.en_US}</span>
-              {
-                required && (
-                  <span className='ml-1 text-red-500'>*</span>
-                )
-              }
+              <span className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-regular text-text-secondary')}>{label[language] || label.en_US}</span>
+              {required && (
+                <span className='ml-1 text-red-500'>*</span>
+              )}
               {tooltipContent}
             </div>
             <Radio.Group
@@ -257,13 +290,130 @@ const Form: FC<FormProps> = ({
         </div>
       )
     }
+
+    if (formSchema.type === FormTypeEnum.modelSelector) {
+      const {
+        variable, label, required, scope,
+      } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput)
+      return (
+        <div key={variable} className={cn(itemClassName, 'py-3')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
+            {label[language] || label.en_US}
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
+            {tooltipContent}
+          </div>
+          <ModelParameterModal
+            popupClassName='!w-[387px]'
+            isAdvancedMode
+            isInWorkflow
+            isAgentStrategy={isAgentStrategy}
+            value={value[variable]}
+            setModel={model => handleModelChanged(variable, model)}
+            readonly={readonly}
+            scope={scope} />
+          {fieldMoreInfo?.(formSchema)}
+          {validating && changeKey === variable && <ValidatingTip />}
+        </div>
+      )
+    }
+
+    if (formSchema.type === FormTypeEnum.toolSelector) {
+      const {
+        variable,
+        label,
+        required,
+        scope,
+      } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput)
+      return (
+        <div key={variable} className={cn(itemClassName, 'py-3')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
+            {label[language] || label.en_US}
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
+            {tooltipContent}
+          </div>
+          <ToolSelector
+            scope={scope}
+            nodeId={nodeId}
+            nodeOutputVars={nodeOutputVars || []}
+            availableNodes={availableNodes || []}
+            disabled={readonly}
+            value={value[variable]}
+            // selectedTools={value[variable] ? [value[variable]] : []}
+            onSelect={item => handleFormChange(variable, item as any)}
+            onDelete={() => handleFormChange(variable, null as any)}
+          />
+          {fieldMoreInfo?.(formSchema)}
+          {validating && changeKey === variable && <ValidatingTip />}
+        </div>
+      )
+    }
+
+    if (formSchema.type === FormTypeEnum.multiToolSelector) {
+      const {
+        variable,
+        label,
+        tooltip,
+        required,
+        scope,
+      } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput)
+
+      return (
+        <div key={variable} className={cn(itemClassName, 'py-3')}>
+          <MultipleToolSelector
+            disabled={readonly}
+            nodeId={nodeId}
+            nodeOutputVars={nodeOutputVars || []}
+            availableNodes={availableNodes || []}
+            scope={scope}
+            label={label[language] || label.en_US}
+            required={required}
+            tooltip={tooltip?.[language] || tooltip?.en_US}
+            value={value[variable] || []}
+            onChange={item => handleFormChange(variable, item as any)}
+          />
+          {fieldMoreInfo?.(formSchema)}
+          {validating && changeKey === variable && <ValidatingTip />}
+        </div>
+      )
+    }
+
+    if (formSchema.type === FormTypeEnum.appSelector) {
+      const {
+        variable, label, required, scope,
+      } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput)
+
+      return (
+        <div key={variable} className={cn(itemClassName, 'py-3')}>
+          <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}>
+            {label[language] || label.en_US}
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
+            {tooltipContent}
+          </div>
+          <AppSelector
+            disabled={readonly}
+            scope={scope}
+            value={value[variable]}
+            onSelect={item => handleFormChange(variable, { ...item, type: FormTypeEnum.appSelector } as any)} />
+          {fieldMoreInfo?.(formSchema)}
+          {validating && changeKey === variable && <ValidatingTip />}
+        </div>
+      )
+    }
+
+    // @ts-expect-error it work
+    if (!Object.values(FormTypeEnum).includes(formSchema.type))
+      return customRenderField?.(formSchema as CustomFormSchema, filteredProps)
   }
 
   return (
     <div className={className}>
-      {
-        formSchemas.map(formSchema => renderField(formSchema))
-      }
+      {formSchemas.map(formSchema => renderField(formSchema))}
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx
index 86d52619e6..f94b708bf3 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx
@@ -26,14 +26,14 @@ const Input: FC<InputProps> = ({
   max,
 }) => {
   const toLimit = (v: string) => {
-    const minNum = parseFloat(`${min}`)
-    const maxNum = parseFloat(`${max}`)
-    if (!isNaN(minNum) && parseFloat(v) < minNum) {
+    const minNum = Number.parseFloat(`${min}`)
+    const maxNum = Number.parseFloat(`${max}`)
+    if (!isNaN(minNum) && Number.parseFloat(v) < minNum) {
       onChange(`${min}`)
       return
     }
 
-    if (!isNaN(maxNum) && parseFloat(v) > maxNum)
+    if (!isNaN(maxNum) && Number.parseFloat(v) > maxNum)
       onChange(`${max}`)
   }
   return (
@@ -41,11 +41,11 @@ const Input: FC<InputProps> = ({
       <input
         tabIndex={0}
         className={`
-          block px-3 w-full h-9 bg-gray-100 text-sm rounded-lg border border-transparent
+          block px-3 w-full h-8 bg-components-input-bg-normal text-sm text-components-input-text-filled rounded-lg border border-transparent
           appearance-none outline-none caret-primary-600
-          hover:border-[rgba(0,0,0,0.08)] hover:bg-gray-50
-          focus:bg-white focus:border-gray-300 focus:shadow-xs
-          placeholder:text-sm placeholder:text-gray-400
+          hover:border-components-input-border-hover hover:bg-components-input-bg-hover
+          focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs
+          placeholder:text-sm placeholder:text-text-tertiary
           ${validated && 'pr-[30px]'}
           ${className}
         `}
diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx
index 967bcccdca..c9f8e44c59 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx
@@ -35,7 +35,6 @@ import {
   useLanguage,
   useProviderCredentialsAndLoadBalancing,
 } from '../hooks'
-import ProviderIcon from '../provider-icon'
 import { useValidate } from '../../key-validator/hooks'
 import { ValidatedStatus } from '../../key-validator/declarations'
 import ModelLoadBalancingConfigs from '../provider-added-card/model-load-balancing-configs'
@@ -280,11 +279,10 @@ const ModelModal: FC<ModelModalProps> = ({
     <PortalToFollowElem open>
       <PortalToFollowElemContent className='w-full h-full z-[60]'>
         <div className='fixed inset-0 flex items-center justify-center bg-black/[.25]'>
-          <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-white shadow-xl rounded-2xl overflow-y-auto'>
+          <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-components-panel-bg shadow-xl rounded-2xl overflow-y-auto'>
             <div className='px-8 pt-8'>
-              <div className='flex justify-between items-center mb-2'>
-                <div className='text-xl font-semibold text-gray-900'>{renderTitlePrefix()}</div>
-                <ProviderIcon provider={provider} />
+              <div className='flex items-center mb-2'>
+                <div className='text-xl font-semibold text-text-primary'>{renderTitlePrefix()}</div>
               </div>
 
               <Form
@@ -297,7 +295,7 @@ const ModelModal: FC<ModelModalProps> = ({
                 isEditMode={isEditMode}
               />
 
-              <div className='mt-1 mb-4 border-t-[0.5px] border-t-gray-100' />
+              <div className='mt-1 mb-4 border-t-[0.5px] border-t-divider-regular' />
               <ModelLoadBalancingConfigs withSwitch {...{
                 draftConfig,
                 setDraftConfig,
@@ -306,7 +304,7 @@ const ModelModal: FC<ModelModalProps> = ({
                 configurationMethod: configurateMethod,
               }} />
 
-              <div className='sticky bottom-0 flex justify-between items-center mt-2 -mx-2 pt-4 px-2 pb-6 flex-wrap gap-y-2 bg-white'>
+              <div className='sticky bottom-0 flex justify-between items-center mt-2 -mx-2 pt-4 px-2 pb-6 flex-wrap gap-y-2 bg-components-panel-bg'>
                 {
                   (provider.help && (provider.help.title || provider.help.url))
                     ? (
@@ -326,8 +324,9 @@ const ModelModal: FC<ModelModalProps> = ({
                   {
                     isEditMode && (
                       <Button
+                        variant='warning'
                         size='large'
-                        className='mr-2 text-[#D92D20]'
+                        className='mr-2'
                         onClick={() => setShowConfirm(true)}
                       >
                         {t('common.operation.remove')}
@@ -357,21 +356,21 @@ const ModelModal: FC<ModelModalProps> = ({
                 </div>
               </div>
             </div>
-            <div className='border-t-[0.5px] border-t-black/5'>
+            <div className='border-t-[0.5px] border-t-divider-regular'>
               {
                 (validatedStatusState.status === ValidatedStatus.Error && validatedStatusState.message)
                   ? (
-                    <div className='flex px-[10px] py-3 bg-[#FEF3F2] text-xs text-[#D92D20]'>
+                    <div className='flex px-[10px] py-3 bg-background-section-burn text-xs text-[#D92D20]'>
                       <RiErrorWarningFill className='mt-[1px] mr-2 w-[14px] h-[14px]' />
                       {validatedStatusState.message}
                     </div>
                   )
                   : (
-                    <div className='flex justify-center items-center py-3 bg-gray-50 text-xs text-gray-500'>
-                      <Lock01 className='mr-1 w-3 h-3 text-gray-500' />
+                    <div className='flex justify-center items-center py-3 bg-background-section-burn text-xs text-text-tertiary'>
+                      <Lock01 className='mr-1 w-3 h-3 text-text-tertiary' />
                       {t('common.modelProvider.encrypted.front')}
                       <a
-                        className='text-primary-600 mx-1'
+                        className='text-text-accent mx-1'
                         target='_blank' rel='noopener noreferrer'
                         href='https://pycryptodome.readthedocs.io/en/latest/src/cipher/oaep.html'
                       >
diff --git a/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx
index 379a9f41ca..a14a22bb35 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx
@@ -37,43 +37,45 @@ const ModelName: FC<ModelNameProps> = ({
   if (!modelItem)
     return null
   return (
-    <div className={cn('flex items-center truncate text-components-input-text-filled system-sm-regular', className)}>
+    <div className={cn('flex gap-0.5 items-center overflow-hidden text-ellipsis truncate text-components-input-text-filled system-sm-regular', className)}>
       <div
         className='truncate'
         title={modelItem.label[language] || modelItem.label.en_US}
       >
         {modelItem.label[language] || modelItem.label.en_US}
       </div>
-      {
-        showModelType && modelItem.model_type && (
-          <ModelBadge className={cn('ml-1', modelTypeClassName)}>
-            {modelTypeFormat(modelItem.model_type)}
-          </ModelBadge>
-        )
-      }
-      {
-        modelItem.model_properties.mode && showMode && (
-          <ModelBadge className={cn('ml-1', modeClassName)}>
-            {(modelItem.model_properties.mode as string).toLocaleUpperCase()}
-          </ModelBadge>
-        )
-      }
-      {
-        showFeatures && modelItem.features?.map(feature => (
-          <FeatureIcon
-            key={feature}
-            feature={feature}
-            className={featuresClassName}
-          />
-        ))
-      }
-      {
-        showContextSize && modelItem.model_properties.context_size && (
-          <ModelBadge className='ml-1'>
-            {sizeFormat(modelItem.model_properties.context_size as number)}
-          </ModelBadge>
-        )
-      }
+      <div className='flex items-center gap-0.5'>
+        {
+          showModelType && modelItem.model_type && (
+            <ModelBadge className={modelTypeClassName}>
+              {modelTypeFormat(modelItem.model_type)}
+            </ModelBadge>
+          )
+        }
+        {
+          modelItem.model_properties.mode && showMode && (
+            <ModelBadge className={modeClassName}>
+              {(modelItem.model_properties.mode as string).toLocaleUpperCase()}
+            </ModelBadge>
+          )
+        }
+        {
+          showFeatures && modelItem.features?.map(feature => (
+            <FeatureIcon
+              key={feature}
+              feature={feature}
+              className={featuresClassName}
+            />
+          ))
+        }
+        {
+          showContextSize && modelItem.model_properties.context_size && (
+            <ModelBadge>
+              {sizeFormat(modelItem.model_properties.context_size as number)}
+            </ModelBadge>
+          )
+        }
+      </div>
       {children}
     </div>
   )
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx
new file mode 100644
index 0000000000..33a21e19f7
--- /dev/null
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx
@@ -0,0 +1,154 @@
+import type { FC } from 'react'
+import { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import type {
+  ModelItem,
+  ModelProvider,
+} from '../declarations'
+import {
+  CustomConfigurationStatusEnum,
+  ModelTypeEnum,
+} from '../declarations'
+import { useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import ConfigurationButton from './configuration-button'
+import Loading from '@/app/components/base/loading'
+import {
+  useModelModalHandler,
+  useUpdateModelList,
+  useUpdateModelProviders,
+} from '../hooks'
+import ModelIcon from '../model-icon'
+import ModelDisplay from './model-display'
+import { InstallPluginButton } from '@/app/components/workflow/nodes/_base/components/install-plugin-button'
+import StatusIndicators from './status-indicators'
+import cn from '@/utils/classnames'
+import { useProviderContext } from '@/context/provider-context'
+import { RiEqualizer2Line } from '@remixicon/react'
+import { useModelInList, usePluginInfo } from '@/service/use-plugins'
+
+export type AgentModelTriggerProps = {
+  open?: boolean
+  disabled?: boolean
+  currentProvider?: ModelProvider
+  currentModel?: ModelItem
+  providerName?: string
+  modelId?: string
+  hasDeprecated?: boolean
+  scope?: string
+}
+
+const AgentModelTrigger: FC<AgentModelTriggerProps> = ({
+  disabled,
+  currentProvider,
+  currentModel,
+  providerName,
+  modelId,
+  hasDeprecated,
+  scope,
+}) => {
+  const { t } = useTranslation()
+  const { modelProviders } = useProviderContext()
+  const updateModelProviders = useUpdateModelProviders()
+  const updateModelList = useUpdateModelList()
+  const { modelProvider, needsConfiguration } = useMemo(() => {
+    const modelProvider = modelProviders.find(item => item.provider === providerName)
+    const needsConfiguration = modelProvider?.custom_configuration.status === CustomConfigurationStatusEnum.noConfigure && !(
+      modelProvider.system_configuration.enabled === true
+      && modelProvider.system_configuration.quota_configurations.find(
+        item => item.quota_type === modelProvider.system_configuration.current_quota_type,
+      )
+    )
+    return {
+      modelProvider,
+      needsConfiguration,
+    }
+  }, [modelProviders, providerName])
+  const [installed, setInstalled] = useState(false)
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+  const handleOpenModal = useModelModalHandler()
+
+  const { data: inModelList = false } = useModelInList(currentProvider, modelId)
+  const { data: pluginInfo, isLoading: isPluginLoading } = usePluginInfo(providerName)
+
+  if (modelId && isPluginLoading)
+    return <Loading />
+
+  return (
+    <div
+      className={cn(
+        'relative group flex items-center p-1 gap-[2px] flex-grow rounded-lg bg-components-input-bg-normal cursor-pointer hover:bg-state-base-hover-alt',
+      )}
+    >
+      {modelId ? (
+        <>
+          <ModelIcon
+            className='p-0.5'
+            provider={currentProvider || modelProvider}
+            modelName={currentModel?.model || modelId}
+            isDeprecated={hasDeprecated}
+          />
+          <ModelDisplay
+            currentModel={currentModel}
+            modelId={modelId}
+          />
+          {needsConfiguration && (
+            <ConfigurationButton
+              modelProvider={modelProvider}
+              handleOpenModal={handleOpenModal}
+            />
+          )}
+          <StatusIndicators
+            needsConfiguration={needsConfiguration}
+            modelProvider={!!modelProvider}
+            inModelList={inModelList}
+            disabled={!!disabled}
+            pluginInfo={pluginInfo}
+            t={t}
+          />
+          {!installed && !modelProvider && pluginInfo && (
+            <InstallPluginButton
+              onClick={e => e.stopPropagation()}
+              size={'small'}
+              uniqueIdentifier={pluginInfo.latest_package_identifier}
+              onSuccess={() => {
+                [
+                  ModelTypeEnum.textGeneration,
+                  ModelTypeEnum.textEmbedding,
+                  ModelTypeEnum.rerank,
+                  ModelTypeEnum.moderation,
+                  ModelTypeEnum.speech2text,
+                  ModelTypeEnum.tts,
+                ].forEach((type: ModelTypeEnum) => {
+                  if (scope?.includes(type))
+                    updateModelList(type)
+                },
+                )
+                updateModelProviders()
+                invalidateInstalledPluginList()
+                setInstalled(true)
+              }}
+            />
+          )}
+          {modelProvider && !disabled && !needsConfiguration && (
+            <div className="flex pr-1 items-center">
+              <RiEqualizer2Line className="w-4 h-4 text-text-tertiary group-hover:text-text-secondary" />
+            </div>
+          )}
+        </>
+      ) : (
+        <>
+          <div className="flex p-1 pl-2 items-center gap-1 grow">
+            <span className="overflow-hidden text-ellipsis whitespace-nowrap system-sm-regular text-components-input-text-placeholder">
+              {t('workflow.nodes.agent.configureModel')}
+            </span>
+          </div>
+          <div className="flex pr-1 items-center">
+            <RiEqualizer2Line className="w-4 h-4 text-text-tertiary group-hover:text-text-secondary" />
+          </div>
+        </>
+      )}
+    </div>
+  )
+}
+
+export default AgentModelTrigger
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx
new file mode 100644
index 0000000000..0cc0f1be8e
--- /dev/null
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx
@@ -0,0 +1,32 @@
+import Button from '@/app/components/base/button'
+import { ConfigurationMethodEnum } from '../declarations'
+import { useTranslation } from 'react-i18next'
+
+type ConfigurationButtonProps = {
+  modelProvider: any
+  handleOpenModal: any
+}
+
+const ConfigurationButton = ({ modelProvider, handleOpenModal }: ConfigurationButtonProps) => {
+  const { t } = useTranslation()
+  return (
+    <Button
+      size="small"
+      className="z-[100]"
+      onClick={(e) => {
+        e.stopPropagation()
+        handleOpenModal(modelProvider, ConfigurationMethodEnum.predefinedModel, undefined)
+      }}
+    >
+      <div className="flex px-[3px] justify-center items-center gap-1">
+        {t('workflow.nodes.agent.notAuthorized')}
+      </div>
+      <div className="flex w-[14px] h-[14px] justify-center items-center">
+        <div className="w-2 h-2 shrink-0 rounded-[3px] border border-components-badge-status-light-warning-border-inner
+          bg-components-badge-status-light-warning-bg shadow-components-badge-status-light-warning-halo" />
+      </div>
+    </Button>
+  )
+}
+
+export default ConfigurationButton
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx
index e21aa33d7a..5457b0e677 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx
@@ -48,6 +48,7 @@ export type ModelParameterModalProps = {
   renderTrigger?: (v: TriggerProps) => ReactNode
   readonly?: boolean
   isInWorkflow?: boolean
+  scope?: string
 }
 const stopParameterRule: ModelParameterRule = {
   default: [],
@@ -68,7 +69,7 @@ const stopParameterRule: ModelParameterRule = {
   },
 }
 
-const PROVIDER_WITH_PRESET_TONE = ['openai', 'azure_openai']
+const PROVIDER_WITH_PRESET_TONE = ['langgenius/openai/openai', 'langgenius/azure_openai/azure_openai']
 const ModelParameterModal: FC<ModelParameterModalProps> = ({
   popupClassName,
   portalToFollowElemContentClassName,
@@ -84,6 +85,7 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({
   renderTrigger,
   readonly,
   isInWorkflow,
+  scope = 'text-generation',
 }) => {
   const { t } = useTranslation()
   const { isAPIKeySet } = useProviderContext()
@@ -190,26 +192,22 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({
               )
           }
         </PortalToFollowElemTrigger>
-        <PortalToFollowElemContent className={cn(portalToFollowElemContentClassName, 'z-[60]')}>
-          <div className={cn(popupClassName, 'w-[496px] rounded-xl border border-gray-100 bg-white shadow-xl')}>
-            <div className={cn(
-              'max-h-[480px]  overflow-y-auto',
-              !isInWorkflow && 'px-10 pt-6 pb-8',
-              isInWorkflow && 'p-4')}>
-              <div className='flex items-center justify-between h-8'>
-                <div className={cn('font-semibold text-gray-900 shrink-0', isInWorkflow && 'text-[13px]')}>
+        <PortalToFollowElemContent className={cn('z-[60]', portalToFollowElemContentClassName)}>
+          <div className={cn(popupClassName, 'w-[389px] rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg')}>
+            <div className={cn('max-h-[420px] p-4 pt-3 overflow-y-auto')}>
+              <div className='relative'>
+                <div className={cn('mb-1 h-6 flex items-center text-text-secondary system-sm-semibold')}>
                   {t('common.modelProvider.model').toLocaleUpperCase()}
                 </div>
                 <ModelSelector
                   defaultModel={(provider || modelId) ? { provider, model: modelId } : undefined}
                   modelList={activeTextGenerationModelList}
                   onSelect={handleChangeModel}
-                  triggerClassName='max-w-[295px]'
                 />
               </div>
               {
                 !!parameterRules.length && (
-                  <div className='my-5 h-[1px] bg-gray-100' />
+                  <div className='my-3 h-[1px] bg-divider-subtle' />
                 )
               }
               {
@@ -219,8 +217,8 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({
               }
               {
                 !isLoading && !!parameterRules.length && (
-                  <div className='flex items-center justify-between mb-4'>
-                    <div className={cn('font-semibold text-gray-900', isInWorkflow && 'text-[13px]')}>{t('common.modelProvider.parameters')}</div>
+                  <div className='flex items-center justify-between mb-2'>
+                    <div className={cn('h-6 flex items-center text-text-secondary system-sm-semibold')}>{t('common.modelProvider.parameters')}</div>
                     {
                       PROVIDER_WITH_PRESET_TONE.includes(provider) && (
                         <PresetsParameter onSelect={handleSelectPresetParameter} />
@@ -237,7 +235,6 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({
                   ].map(parameter => (
                     <ParameterItem
                       key={`${modelId}-${parameter.name}`}
-                      className='mb-4'
                       parameterRule={parameter}
                       value={completionParams?.[parameter.name]}
                       onChange={v => handleParamChange(parameter.name, v)}
@@ -250,7 +247,7 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({
             </div>
             {!hideDebugWithMultipleModel && (
               <div
-                className='flex items-center justify-between px-6 h-[50px] bg-gray-50 border-t border-t-gray-100 text-xs font-medium text-primary-600 cursor-pointer rounded-b-xl'
+                className='flex items-center justify-between px-4 h-[50px] bg-components-section-burn border-t border-t-divider-subtle system-sm-regular text-text-accent cursor-pointer rounded-b-xl'
                 onClick={() => onDebugWithMultipleModelChange?.()}
               >
                 {
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx
new file mode 100644
index 0000000000..6f586c1f6f
--- /dev/null
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx
@@ -0,0 +1,25 @@
+import ModelName from '../model-name'
+
+type ModelDisplayProps = {
+  currentModel: any
+  modelId: string
+}
+
+const ModelDisplay = ({ currentModel, modelId }: ModelDisplayProps) => {
+  return currentModel ? (
+    <ModelName
+      className="flex px-1 py-[3px] items-center gap-1 grow"
+      modelItem={currentModel}
+      showMode
+      showFeatures
+    />
+  ) : (
+    <div className="flex py-[3px] px-1 items-center gap-1 grow opacity-50 truncate">
+      <div className="text-components-input-text-filled text-ellipsis overflow-hidden system-sm-regular">
+        {modelId}
+      </div>
+    </div>
+  )
+}
+
+export default ModelDisplay
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx
index 376a08c120..f43598fc38 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx
@@ -17,7 +17,6 @@ type ParameterItemProps = {
   parameterRule: ModelParameterRule
   value?: ParameterValue
   onChange?: (value: ParameterValue) => void
-  className?: string
   onSwitch?: (checked: boolean, assignValue: ParameterValue) => void
   isInWorkflow?: boolean
 }
@@ -25,7 +24,6 @@ const ParameterItem: FC<ParameterItemProps> = ({
   parameterRule,
   value,
   onChange,
-  className,
   onSwitch,
   isInWorkflow,
 }) => {
@@ -150,7 +148,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
           />}
           <input
             ref={numberInputRef}
-            className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900'
+            className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular'
             type='number'
             max={parameterRule.max}
             min={parameterRule.min}
@@ -175,7 +173,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
           />}
           <input
             ref={numberInputRef}
-            className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900'
+            className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular'
             type='number'
             max={parameterRule.max}
             min={parameterRule.min}
@@ -190,12 +188,12 @@ const ParameterItem: FC<ParameterItemProps> = ({
     if (parameterRule.type === 'boolean') {
       return (
         <Radio.Group
-          className='w-[200px] flex items-center'
+          className='w-[178px] flex items-center'
           value={renderValue ? 1 : 0}
           onChange={handleRadioChange}
         >
-          <Radio value={1} className='!mr-1 w-[94px]'>True</Radio>
-          <Radio value={0} className='w-[94px]'>False</Radio>
+          <Radio value={1} className='w-[83px]'>True</Radio>
+          <Radio value={0} className='w-[83px]'>False</Radio>
         </Radio.Group>
       )
     }
@@ -203,7 +201,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
     if (parameterRule.type === 'string' && !parameterRule.options?.length) {
       return (
         <input
-          className={cn(isInWorkflow ? 'w-[200px]' : 'w-full', 'ml-4 flex items-center px-3 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900')}
+          className={cn(isInWorkflow ? 'w-[178px]' : 'w-full', 'ml-4 flex items-center px-3 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular')}
           value={renderValue as string}
           onChange={handleStringInputChange}
         />
@@ -213,7 +211,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
     if (parameterRule.type === 'text') {
       return (
         <textarea
-          className='w-full h-20 ml-4 px-1 rounded-lg bg-gray-100 outline-none text-[12px] text-gray-900'
+          className='w-full h-20 ml-4 px-1 rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular'
           value={renderValue as string}
           onChange={handleStringInputChange}
         />
@@ -224,7 +222,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
       return (
         <SimpleSelect
           className='!py-0'
-          wrapperClassName={cn(isInWorkflow ? '!w-[200px]' : 'w-full', 'ml-4 !h-8')}
+          wrapperClassName={cn('w-full !h-8')}
           defaultValue={renderValue as string}
           onSelect={handleSelect}
           items={parameterRule.options.map(option => ({ value: option, name: option }))}
@@ -234,7 +232,7 @@ const ParameterItem: FC<ParameterItemProps> = ({
 
     if (parameterRule.type === 'tag') {
       return (
-        <div className={cn(isInWorkflow ? 'w-[200px]' : 'w-full', 'ml-4')}>
+        <div className={cn('w-full !h-8')}>
           <TagInput
             items={renderValue as string[]}
             onChange={handleTagChange}
@@ -249,11 +247,22 @@ const ParameterItem: FC<ParameterItemProps> = ({
   }
 
   return (
-    <div className={`flex items-center justify-between ${className}`}>
-      <div>
-        <div className={cn(isInWorkflow ? 'w-[140px]' : 'w-full', 'ml-4 shrink-0 flex items-center')}>
+    <div className='flex items-center justify-between mb-2'>
+      <div className='shrink-0 basis-1/2'>
+        <div className={cn('shrink-0 w-full flex items-center')}>
+          {
+            !parameterRule.required && parameterRule.name !== 'stop' && (
+              <div className='mr-2 w-7'>
+                <Switch
+                  defaultValue={!isNullOrUndefined(value)}
+                  onChange={handleSwitch}
+                  size='md'
+                />
+              </div>
+            )
+          }
           <div
-            className='mr-0.5 text-[13px] font-medium text-gray-700 truncate'
+            className='mr-0.5 system-xs-regular text-text-secondary truncate'
             title={parameterRule.label[language] || parameterRule.label.en_US}
           >
             {parameterRule.label[language] || parameterRule.label.en_US}
@@ -262,27 +271,17 @@ const ParameterItem: FC<ParameterItemProps> = ({
             parameterRule.help && (
               <Tooltip
                 popupContent={(
-                  <div className='w-[200px] whitespace-pre-wrap'>{parameterRule.help[language] || parameterRule.help.en_US}</div>
+                  <div className='w-[178px] whitespace-pre-wrap'>{parameterRule.help[language] || parameterRule.help.en_US}</div>
                 )}
                 popupClassName='mr-1'
                 triggerClassName='mr-1 w-4 h-4 shrink-0'
               />
             )
           }
-          {
-            !parameterRule.required && parameterRule.name !== 'stop' && (
-              <Switch
-                className='mr-1'
-                defaultValue={!isNullOrUndefined(value)}
-                onChange={handleSwitch}
-                size='md'
-              />
-            )
-          }
         </div>
         {
           parameterRule.type === 'tag' && (
-            <div className={cn(!isInWorkflow && 'w-[200px]', 'text-gray-400 text-xs font-normal')}>
+            <div className={cn(!isInWorkflow && 'w-[178px]', 'text-text-tertiary system-xs-regular')}>
               {parameterRule?.tagPlaceholder?.[language]}
             </div>
           )
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx
index de5061ef45..0d9e90853e 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx
@@ -2,12 +2,13 @@ import type { FC } from 'react'
 import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import { RiArrowDownSLine } from '@remixicon/react'
+import Button from '@/app/components/base/button'
 import Dropdown from '@/app/components/base/dropdown'
-import { SlidersH } from '@/app/components/base/icons/src/vender/line/mediaAndDevices'
 import { Brush01 } from '@/app/components/base/icons/src/vender/solid/editor'
 import { Scales02 } from '@/app/components/base/icons/src/vender/solid/FinanceAndECommerce'
 import { Target04 } from '@/app/components/base/icons/src/vender/solid/general'
 import { TONE_LIST } from '@/config'
+import cn from '@/utils/classnames'
 
 type PresetsParameterProps = {
   onSelect: (toneId: number) => void
@@ -18,19 +19,16 @@ const PresetsParameter: FC<PresetsParameterProps> = ({
   const { t } = useTranslation()
   const renderTrigger = useCallback((open: boolean) => {
     return (
-      <div
-        className={`
-          flex items-center px-[7px] h-7 rounded-md border-[0.5px] border-gray-200 shadow-xs
-          text-xs font-medium text-gray-700 cursor-pointer
-          ${open && 'bg-gray-100'}
-        `}
+      <Button
+        size={'small'}
+        variant={'secondary'}
+        className={cn(open && 'bg-state-base-hover')}
       >
-        <SlidersH className='mr-[5px] w-3.5 h-3.5 text-gray-500' />
         {t('common.modelProvider.loadPresets')}
-        <RiArrowDownSLine className='ml-0.5 w-3.5 h-3.5 text-gray-500' />
-      </div>
+        <RiArrowDownSLine className='ml-0.5 w-3.5 h-3.5' />
+      </Button>
     )
-  }, [])
+  }, [t])
   const getToneIcon = (toneId: number) => {
     const className = 'mr-2 w-[14px] h-[14px]'
     const res = ({
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx
new file mode 100644
index 0000000000..9f3543a475
--- /dev/null
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx
@@ -0,0 +1,99 @@
+import Tooltip from '@/app/components/base/tooltip'
+import Link from 'next/link'
+import { SwitchPluginVersion } from '@/app/components/workflow/nodes/_base/components/switch-plugin-version'
+import { useInstalledPluginList } from '@/service/use-plugins'
+import { RiErrorWarningFill } from '@remixicon/react'
+
+type StatusIndicatorsProps = {
+  needsConfiguration: boolean
+  modelProvider: boolean
+  inModelList: boolean
+  disabled: boolean
+  pluginInfo: any
+  t: any
+}
+
+const StatusIndicators = ({ needsConfiguration, modelProvider, inModelList, disabled, pluginInfo, t }: StatusIndicatorsProps) => {
+  const { data: pluginList } = useInstalledPluginList()
+  const renderTooltipContent = (title: string, description?: string, linkText?: string, linkHref?: string) => {
+    return (
+      <div className='flex w-[240px] max-w-[240px] gap-1 flex-col px-1 py-1.5' onClick={e => e.stopPropagation()}>
+        <div className='text-text-primary title-xs-semi-bold'>{title}</div>
+        {description && (
+          <div className='min-w-[200px] text-text-secondary body-xs-regular'>
+            {description}
+          </div>
+        )}
+        {linkText && linkHref && (
+          <div className='text-text-accent body-xs-regular cursor-pointer z-[100]'>
+            <Link
+              href={linkHref}
+              onClick={(e) => {
+                e.stopPropagation()
+              }}
+            >
+              {linkText}
+            </Link>
+          </div>
+        )}
+      </div>
+    )
+  }
+  // const installedPluginUniqueIdentifier = pluginList?.plugins.find(plugin => plugin.name === pluginInfo.name)?.plugin_unique_identifier
+  return (
+    <>
+      {/* plugin installed and model is in model list but disabled */}
+      {/* plugin installed from github/local and model is not in model list */}
+      {!needsConfiguration && modelProvider && disabled && (
+        <>
+          {inModelList ? (
+            <Tooltip
+              popupContent={t('workflow.nodes.agent.modelSelectorTooltips.deprecated')}
+              asChild={false}
+              needsDelay={false}
+            >
+              <RiErrorWarningFill className='w-4 h-4 text-text-destructive' />
+            </Tooltip>
+          ) : !pluginInfo ? (
+            <Tooltip
+              popupContent={renderTooltipContent(
+                t('workflow.nodes.agent.modelNotSupport.title'),
+                t('workflow.nodes.agent.modelNotSupport.desc'),
+                t('workflow.nodes.agent.linkToPlugin'),
+                '/plugins',
+              )}
+              asChild={false}
+              needsDelay={true}
+            >
+              <RiErrorWarningFill className='w-4 h-4 text-text-destructive' />
+            </Tooltip>
+          ) : (
+            <SwitchPluginVersion
+              tooltip={renderTooltipContent(
+                t('workflow.nodes.agent.modelNotSupport.title'),
+                t('workflow.nodes.agent.modelNotSupport.descForVersionSwitch'),
+              )}
+              uniqueIdentifier={pluginList?.plugins.find(plugin => plugin.name === pluginInfo.name)?.plugin_unique_identifier ?? ''}
+            />
+          )}
+        </>
+      )}
+      {!modelProvider && !pluginInfo && (
+        <Tooltip
+          popupContent={renderTooltipContent(
+            t('workflow.nodes.agent.modelNotInMarketplace.title'),
+            t('workflow.nodes.agent.modelNotInMarketplace.desc'),
+            t('workflow.nodes.agent.linkToPlugin'),
+            '/plugins',
+          )}
+          asChild={false}
+          needsDelay
+        >
+          <RiErrorWarningFill className='w-4 h-4 text-text-destructive' />
+        </Tooltip>
+      )}
+    </>
+  )
+}
+
+export default StatusIndicators
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/stop-sequence.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/stop-sequence.tsx
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
index 2f4552de0b..44b774408f 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx
@@ -71,18 +71,16 @@ const Trigger: FC<TriggerProps> = ({
       {
         currentModel && (
           <ModelName
-            className='mr-1.5 text-gray-900'
+            className='mr-1.5 text-text-primary'
             modelItem={currentModel}
             showMode
-            modeClassName={cn(!isInWorkflow ? '!text-[#444CE7] !border-[#A4BCFD]' : '!text-gray-500 !border-black/8')}
             showFeatures
-            featuresClassName={cn(!isInWorkflow ? '!text-[#444CE7] !border-[#A4BCFD]' : '!text-gray-500 !border-black/8')}
           />
         )
       }
       {
         !currentModel && (
-          <div className='mr-1 text-[13px] font-medium text-gray-900 truncate'>
+          <div className='mr-1 text-[13px] font-medium text-text-primary truncate'>
             {modelId}
           </div>
         )
@@ -103,10 +101,10 @@ const Trigger: FC<TriggerProps> = ({
             </Tooltip>
           )
           : (
-            <SlidersH className={cn(!isInWorkflow ? 'text-indigo-600' : 'text-gray-500', 'shrink-0 w-4 h-4')} />
+            <SlidersH className={cn(!isInWorkflow ? 'text-indigo-600' : 'text-text-tertiary', 'shrink-0 w-4 h-4')} />
           )
       }
-      {isInWorkflow && (<RiArrowDownSLine className='absolute top-[9px] right-2 w-3.5 h-3.5 text-gray-500' />)}
+      {isInWorkflow && (<RiArrowDownSLine className='absolute top-[9px] right-2 w-3.5 h-3.5 text-text-tertiary' />)}
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx
index f40423d869..069e026b64 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx
@@ -4,16 +4,21 @@ import ModelIcon from '../model-icon'
 import { AlertTriangle } from '@/app/components/base/icons/src/vender/line/alertsAndFeedback'
 import { useProviderContext } from '@/context/provider-context'
 import Tooltip from '@/app/components/base/tooltip'
+import cn from '@/utils/classnames'
 
 type ModelTriggerProps = {
   modelName: string
   providerName: string
   className?: string
+  showWarnIcon?: boolean
+  contentClassName?: string
 }
 const ModelTrigger: FC<ModelTriggerProps> = ({
   modelName,
   providerName,
   className,
+  showWarnIcon,
+  contentClassName,
 }) => {
   const { t } = useTranslation()
   const { modelProviders } = useProviderContext()
@@ -21,23 +26,26 @@ const ModelTrigger: FC<ModelTriggerProps> = ({
 
   return (
     <div
-      className={`
-        group flex items-center px-2 h-8 rounded-lg bg-[#FFFAEB] cursor-pointer
-        ${className}
-      `}
+      className={cn('group flex flex-grow box-content items-center p-[3px] pl-1 h-8 gap-1 rounded-lg bg-components-input-bg-disabled cursor-pointer', className)}
     >
-      <ModelIcon
-        className='shrink-0 mr-1.5'
-        provider={currentProvider}
-        modelName={modelName}
-      />
-      <div className='mr-1 text-[13px] font-medium text-gray-800 truncate'>
-        {modelName}
-      </div>
-      <div className='shrink-0 flex items-center justify-center w-4 h-4'>
-        <Tooltip popupContent={t('common.modelProvider.deprecated')}>
-          <AlertTriangle className='w-4 h-4 text-[#F79009]' />
-        </Tooltip>
+      <div className={cn('flex items-center w-full', contentClassName)}>
+        <div className='flex items-center py-[1px] gap-1 min-w-0 flex-1'>
+          <ModelIcon
+            className="w-4 h-4"
+            provider={currentProvider}
+            modelName={modelName}
+          />
+          <div className='system-sm-regular text-components-input-text-filled truncate'>
+            {modelName}
+          </div>
+        </div>
+        <div className='shrink-0 flex items-center justify-center'>
+          {showWarnIcon && (
+            <Tooltip popupContent={t('common.modelProvider.deprecated')}>
+              <AlertTriangle className='w-4 h-4 text-text-warning-secondary' />
+            </Tooltip>
+          )}
+        </div>
       </div>
     </div>
   )
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx
index 0c6d3efa39..b7c1b2dc59 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx
@@ -1,7 +1,8 @@
 import type { FC } from 'react'
-import { RiArrowDownSLine } from '@remixicon/react'
+import { RiEqualizer2Line } from '@remixicon/react'
 import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes'
-
+import cn from '@/utils/classnames'
+import { useTranslation } from 'react-i18next'
 type ModelTriggerProps = {
   open: boolean
   className?: string
@@ -10,27 +11,27 @@ const ModelTrigger: FC<ModelTriggerProps> = ({
   open,
   className,
 }) => {
+  const { t } = useTranslation()
   return (
     <div
-      className={`
-        flex items-center px-2 h-8 rounded-lg bg-gray-100 hover:bg-gray-200 cursor-pointer
-        ${className}
-        ${open && '!bg-gray-200'}
-      `}
+      className={cn(
+        'flex items-center p-1 gap-0.5 rounded-lg bg-components-input-bg-normal hover:bg-components-input-bg-hover cursor-pointer', open && 'bg-components-input-bg-hover',
+        className,
+      )}
     >
       <div className='grow flex items-center'>
-        <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border border-dashed border-black/5'>
-          <CubeOutline className='w-3 h-3 text-gray-400' />
+        <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border border-dashed border-divider-regular'>
+          <CubeOutline className='w-3 h-3 text-text-quaternary' />
         </div>
         <div
-          className='text-[13px] text-gray-500 truncate'
-          title='Select model'
+          className='text-[13px] text-text-tertiary truncate'
+          title='Configure model'
         >
-          Select model
+          {t('plugin.detailPanel.configureModel')}
         </div>
       </div>
       <div className='shrink-0 flex items-center justify-center w-4 h-4'>
-        <RiArrowDownSLine className='w-3.5 h-3.5 text-gray-500' />
+        <RiEqualizer2Line className='w-3.5 h-3.5 text-text-tertiary' />
       </div>
     </div>
   )
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx
index 32bd58d318..9c7a9788ef 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx
@@ -6,10 +6,13 @@ import {
   ModelFeatureTextEnum,
 } from '../declarations'
 import {
+  AudioSupportIcon,
+  DocumentSupportIcon,
   // MagicBox,
   MagicEyes,
   // MagicWand,
   // Robot,
+  VideoSupportIcon,
 } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
 import Tooltip from '@/app/components/base/tooltip'
 
@@ -65,7 +68,7 @@ const FeatureIcon: FC<FeatureIconProps> = ({
         popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.vision })}
       >
         <div className='inline-block cursor-help'>
-          <ModelBadge className={`mr-0.5 !px-0 w-[18px] justify-center text-gray-500 ${className}`}>
+          <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}>
             <MagicEyes className='w-3 h-3' />
           </ModelBadge>
         </div>
@@ -73,6 +76,48 @@ const FeatureIcon: FC<FeatureIconProps> = ({
     )
   }
 
+  if (feature === ModelFeatureEnum.document) {
+    return (
+      <Tooltip
+        popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.document })}
+      >
+        <div className='inline-block cursor-help'>
+          <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}>
+            <DocumentSupportIcon className='w-3 h-3' />
+          </ModelBadge>
+        </div>
+      </Tooltip>
+    )
+  }
+
+  if (feature === ModelFeatureEnum.audio) {
+    return (
+      <Tooltip
+        popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.audio })}
+      >
+        <div className='inline-block cursor-help'>
+          <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}>
+            <AudioSupportIcon className='w-3 h-3' />
+          </ModelBadge>
+        </div>
+      </Tooltip>
+    )
+  }
+
+  if (feature === ModelFeatureEnum.video) {
+    return (
+      <Tooltip
+        popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.video })}
+      >
+        <div className='inline-block cursor-help'>
+          <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}>
+            <VideoSupportIcon className='w-3 h-3' />
+          </ModelBadge>
+        </div>
+      </Tooltip>
+    )
+  }
+
   return null
 }
 
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx
index c6dd76a04f..d28959a509 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx
@@ -15,6 +15,7 @@ import {
   PortalToFollowElemContent,
   PortalToFollowElemTrigger,
 } from '@/app/components/base/portal-to-follow-elem'
+import classNames from '@/utils/classnames'
 
 type ModelSelectorProps = {
   defaultModel?: DefaultModel
@@ -23,6 +24,9 @@ type ModelSelectorProps = {
   popupClassName?: string
   onSelect?: (model: DefaultModel) => void
   readonly?: boolean
+  scopeFeatures?: string[]
+  deprecatedClassName?: string
+  showDeprecatedWarnIcon?: boolean
 }
 const ModelSelector: FC<ModelSelectorProps> = ({
   defaultModel,
@@ -31,6 +35,9 @@ const ModelSelector: FC<ModelSelectorProps> = ({
   popupClassName,
   onSelect,
   readonly,
+  scopeFeatures = [],
+  deprecatedClassName,
+  showDeprecatedWarnIcon = false,
 }) => {
   const [open, setOpen] = useState(false)
   const {
@@ -62,7 +69,7 @@ const ModelSelector: FC<ModelSelectorProps> = ({
       placement='bottom-start'
       offset={4}
     >
-      <div className='relative'>
+      <div className={classNames('relative')}>
         <PortalToFollowElemTrigger
           onClick={handleToggle}
           className='block'
@@ -84,6 +91,8 @@ const ModelSelector: FC<ModelSelectorProps> = ({
                 modelName={defaultModel?.model || ''}
                 providerName={defaultModel?.provider || ''}
                 className={triggerClassName}
+                showWarnIcon={showDeprecatedWarnIcon}
+                contentClassName={deprecatedClassName}
               />
             )
           }
@@ -101,6 +110,8 @@ const ModelSelector: FC<ModelSelectorProps> = ({
             defaultModel={defaultModel}
             modelList={modelList}
             onSelect={handleSelect}
+            scopeFeatures={scopeFeatures}
+            onHide={() => setOpen(false)}
           />
         </PortalToFollowElemContent>
       </div>
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx
index 556a2ef66f..009887acd7 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx
@@ -13,7 +13,7 @@ import ModelIcon from '../model-icon'
 import ModelName from '../model-name'
 import { AlertTriangle } from '@/app/components/base/icons/src/vender/line/alertsAndFeedback'
 import Tooltip from '@/app/components/base/tooltip'
-import classNames from '@/utils/classnames'
+import cn from '@/utils/classnames'
 
 type ModelTriggerProps = {
   open: boolean
@@ -33,42 +33,44 @@ const ModelTrigger: FC<ModelTriggerProps> = ({
 
   return (
     <div
-      className={classNames(
-        'group flex items-center px-2 h-8 rounded-lg bg-components-input-bg-normal',
+      className={cn(
+        'group flex items-center p-1 h-8 gap-0.5 rounded-lg bg-components-input-bg-normal',
         !readonly && 'hover:bg-components-input-bg-hover cursor-pointer',
+        open && 'bg-components-input-bg-hover',
+        model.status !== ModelStatusEnum.active && 'bg-components-input-bg-disabled hover:bg-components-input-bg-disabled',
         className,
-        open && '!bg-components-input-bg-hover',
-        model.status !== ModelStatusEnum.active && '!bg-[#FFFAEB]',
       )}
     >
       <ModelIcon
-        className='shrink-0 mr-1.5'
+        className='p-0.5'
         provider={provider}
         modelName={model.model}
       />
-      <ModelName
-        className='grow'
-        modelItem={model}
-        showMode
-        showFeatures
-      />
-      {!readonly && (
-        <div className='shrink-0 flex items-center justify-center w-4 h-4'>
-          {
-            model.status !== ModelStatusEnum.active
-              ? (
-                <Tooltip popupContent={MODEL_STATUS_TEXT[model.status][language]}>
-                  <AlertTriangle className='w-4 h-4 text-[#F79009]' />
-                </Tooltip>
-              )
-              : (
-                <RiArrowDownSLine
-                  className='w-3.5 h-3.5 text-gray-500'
-                />
-              )
-          }
-        </div>
-      )}
+      <div className='flex px-1 py-[3px] items-center gap-1 grow truncate'>
+        <ModelName
+          className='grow'
+          modelItem={model}
+          showMode
+          showFeatures
+        />
+        {!readonly && (
+          <div className='shrink-0 flex items-center justify-center w-4 h-4'>
+            {
+              model.status !== ModelStatusEnum.active
+                ? (
+                  <Tooltip popupContent={MODEL_STATUS_TEXT[model.status][language]}>
+                    <AlertTriangle className='w-4 h-4 text-text-warning-secondary' />
+                  </Tooltip>
+                )
+                : (
+                  <RiArrowDownSLine
+                    className='w-3.5 h-3.5 text-text-tertiary'
+                  />
+                )
+            }
+          </div>
+        )}
+      </div>
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx
index d62131ac4c..d9cdb26431 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx
@@ -1,10 +1,25 @@
 import type { FC } from 'react'
 import { useTranslation } from 'react-i18next'
+import {
+  RiFileTextLine,
+  RiFilmAiLine,
+  RiImageCircleAiLine,
+  RiVoiceAiFill,
+} from '@remixicon/react'
 import type {
   DefaultModel,
   Model,
   ModelItem,
 } from '../declarations'
+import {
+  ModelFeatureEnum,
+  ModelFeatureTextEnum,
+  ModelTypeEnum,
+} from '../declarations'
+import {
+  modelTypeFormat,
+  sizeFormat,
+} from '../utils'
 import {
   useLanguage,
   useUpdateModelList,
@@ -12,15 +27,16 @@ import {
 } from '../hooks'
 import ModelIcon from '../model-icon'
 import ModelName from '../model-name'
+import ModelBadge from '../model-badge'
 import {
   ConfigurationMethodEnum,
-  MODEL_STATUS_TEXT,
   ModelStatusEnum,
 } from '../declarations'
 import { Check } from '@/app/components/base/icons/src/vender/line/general'
 import { useModalContext } from '@/context/modal-context'
 import { useProviderContext } from '@/context/provider-context'
 import Tooltip from '@/app/components/base/tooltip'
+import cn from '@/utils/classnames'
 
 type PopupItemProps = {
   defaultModel?: DefaultModel
@@ -64,50 +80,104 @@ const PopupItem: FC<PopupItemProps> = ({
 
   return (
     <div className='mb-1'>
-      <div className='flex items-center px-3 h-[22px] text-xs font-medium text-gray-500'>
+      <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'>
         {model.label[language] || model.label.en_US}
       </div>
       {
         model.models.map(modelItem => (
           <Tooltip
             key={modelItem.model}
-            popupContent={modelItem.status !== ModelStatusEnum.active ? MODEL_STATUS_TEXT[modelItem.status][language] : undefined}
             position='right'
+            popupClassName='p-3 !w-[206px] bg-components-panel-bg-blur backdrop-blur-sm border-[0.5px] border-components-panel-border rounded-xl'
+            popupContent={
+              <div className='flex flex-col gap-1'>
+                <div className='flex flex-col items-start gap-2'>
+                  <ModelIcon
+                    className={cn('shrink-0 w-5 h-5')}
+                    provider={model}
+                    modelName={modelItem.model}
+                  />
+                  <div className='truncate text-text-primary system-md-medium'>{modelItem.label[language] || modelItem.label.en_US}</div>
+                </div>
+                {/* {currentProvider?.description && (
+                  <div className='text-text-tertiary system-xs-regular'>{currentProvider?.description?.[language] || currentProvider?.description?.en_US}</div>
+                )} */}
+                <div className='flex flex-wrap gap-1'>
+                  {modelItem.model_type && (
+                    <ModelBadge>
+                      {modelTypeFormat(modelItem.model_type)}
+                    </ModelBadge>
+                  )}
+                  {modelItem.model_properties.mode && (
+                    <ModelBadge>
+                      {(modelItem.model_properties.mode as string).toLocaleUpperCase()}
+                    </ModelBadge>
+                  )}
+                  {modelItem.model_properties.context_size && (
+                    <ModelBadge>
+                      {sizeFormat(modelItem.model_properties.context_size as number)}
+                    </ModelBadge>
+                  )}
+                </div>
+                {modelItem.model_type === ModelTypeEnum.textGeneration && modelItem.features?.some(feature => [ModelFeatureEnum.vision, ModelFeatureEnum.audio, ModelFeatureEnum.video, ModelFeatureEnum.document].includes(feature)) && (
+                  <div className='pt-2'>
+                    <div className='mb-1 text-text-tertiary system-2xs-medium-uppercase'>{t('common.model.capabilities')}</div>
+                    <div className='flex flex-wrap gap-1'>
+                      {modelItem.features?.includes(ModelFeatureEnum.vision) && (
+                        <ModelBadge>
+                          <RiImageCircleAiLine className='w-3.5 h-3.5 mr-0.5' />
+                          <span>{ModelFeatureTextEnum.vision}</span>
+                        </ModelBadge>
+                      )}
+                      {modelItem.features?.includes(ModelFeatureEnum.audio) && (
+                        <ModelBadge>
+                          <RiVoiceAiFill className='w-3.5 h-3.5 mr-0.5' />
+                          <span>{ModelFeatureTextEnum.audio}</span>
+                        </ModelBadge>
+                      )}
+                      {modelItem.features?.includes(ModelFeatureEnum.video) && (
+                        <ModelBadge>
+                          <RiFilmAiLine className='w-3.5 h-3.5 mr-0.5' />
+                          <span>{ModelFeatureTextEnum.video}</span>
+                        </ModelBadge>
+                      )}
+                      {modelItem.features?.includes(ModelFeatureEnum.document) && (
+                        <ModelBadge>
+                          <RiFileTextLine className='w-3.5 h-3.5 mr-0.5' />
+                          <span>{ModelFeatureTextEnum.document}</span>
+                        </ModelBadge>
+                      )}
+                    </div>
+                  </div>
+                )}
+              </div>
+            }
           >
             <div
               key={modelItem.model}
-              className={`
-                group relative flex items-center px-3 py-1.5 h-8 rounded-lg
-                ${modelItem.status === ModelStatusEnum.active ? 'cursor-pointer hover:bg-gray-50' : 'cursor-not-allowed hover:bg-gray-50/60'}
-              `}
+              className={cn('group relative flex items-center px-3 py-1.5 h-8 rounded-lg gap-1', modelItem.status === ModelStatusEnum.active ? 'cursor-pointer hover:bg-state-base-hover' : 'cursor-not-allowed hover:bg-state-base-hover-alt')}
               onClick={() => handleSelect(model.provider, modelItem)}
             >
-              <ModelIcon
-                className={`
-                  shrink-0 mr-2 w-4 h-4
-                  ${modelItem.status !== ModelStatusEnum.active && 'opacity-60'}
-                `}
-                provider={model}
-                modelName={modelItem.model}
-              />
-              <ModelName
-                className={`
-                  grow text-sm font-normal text-gray-900
-                  ${modelItem.status !== ModelStatusEnum.active && 'opacity-60'}
-                `}
-                modelItem={modelItem}
-                showMode
-                showFeatures
-              />
+              <div className='flex items-center gap-2'>
+                <ModelIcon
+                  className={cn('shrink-0 w-5 h-5')}
+                  provider={model}
+                  modelName={modelItem.model}
+                />
+                <ModelName
+                  className={cn('text-text-secondary system-sm-medium', modelItem.status !== ModelStatusEnum.active && 'opacity-60')}
+                  modelItem={modelItem}
+                />
+              </div>
               {
                 defaultModel?.model === modelItem.model && defaultModel.provider === currentProvider.provider && (
-                  <Check className='shrink-0 w-4 h-4 text-primary-600' />
+                  <Check className='shrink-0 w-4 h-4 text-text-accent' />
                 )
               }
               {
                 modelItem.status === ModelStatusEnum.noConfigure && (
                   <div
-                    className='hidden group-hover:block text-xs font-medium text-primary-600 cursor-pointer'
+                    className='hidden group-hover:block text-xs font-medium text-text-accent cursor-pointer'
                     onClick={handleOpenModelModal}
                   >
                     {t('common.operation.add').toLocaleUpperCase()}
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx
index 1e43439d15..8de3cbd720 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx
@@ -1,6 +1,8 @@
 import type { FC } from 'react'
-import { useState } from 'react'
+import { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
 import {
+  RiArrowRightUpLine,
   RiSearchLine,
 } from '@remixicon/react'
 import type {
@@ -8,51 +10,69 @@ import type {
   Model,
   ModelItem,
 } from '../declarations'
+import { ModelFeatureEnum } from '../declarations'
 import { useLanguage } from '../hooks'
 import PopupItem from './popup-item'
 import { XCircle } from '@/app/components/base/icons/src/vender/solid/general'
+import { useModalContext } from '@/context/modal-context'
 
 type PopupProps = {
   defaultModel?: DefaultModel
   modelList: Model[]
   onSelect: (provider: string, model: ModelItem) => void
+  scopeFeatures?: string[]
+  onHide: () => void
 }
 const Popup: FC<PopupProps> = ({
   defaultModel,
   modelList,
   onSelect,
+  scopeFeatures = [],
+  onHide,
 }) => {
+  const { t } = useTranslation()
   const language = useLanguage()
   const [searchText, setSearchText] = useState('')
+  const { setShowAccountSettingModal } = useModalContext()
 
-  const filteredModelList = modelList.map((model) => {
-    const filteredModels = model.models.filter((modelItem) => {
-      if (modelItem.label[language] !== undefined)
-        return modelItem.label[language].toLowerCase().includes(searchText.toLowerCase())
-
-      return Object.values(modelItem.label).some(label =>
-        label.toLowerCase().includes(searchText.toLowerCase()),
-      )
-    })
-
-    return { ...model, models: filteredModels }
-  }).filter(model => model.models.length > 0)
+  const filteredModelList = useMemo(() => {
+    return modelList.map((model) => {
+      const filteredModels = model.models
+        .filter((modelItem) => {
+          if (modelItem.label[language] !== undefined)
+            return modelItem.label[language].toLowerCase().includes(searchText.toLowerCase())
+          return Object.values(modelItem.label).some(label =>
+            label.toLowerCase().includes(searchText.toLowerCase()),
+          )
+        })
+        .filter((modelItem) => {
+          if (scopeFeatures.length === 0)
+            return true
+          return scopeFeatures.every((feature) => {
+            if (feature === ModelFeatureEnum.toolCall)
+              return modelItem.features?.some(featureItem => featureItem === ModelFeatureEnum.toolCall || featureItem === ModelFeatureEnum.multiToolCall)
+            return modelItem.features?.some(featureItem => featureItem === feature)
+          })
+        })
+      return { ...model, models: filteredModels }
+    }).filter(model => model.models.length > 0)
+  }, [language, modelList, scopeFeatures, searchText])
 
   return (
-    <div className='w-[320px] max-h-[480px] rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg overflow-y-auto'>
-      <div className='sticky top-0 pl-3 pt-3 pr-2 pb-1 bg-white z-10'>
+    <div className='w-[320px] max-h-[480px] rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg overflow-y-auto'>
+      <div className='sticky top-0 pl-3 pt-3 pr-2 pb-1 bg-components-panel-bg z-10'>
         <div className={`
           flex items-center pl-[9px] pr-[10px] h-8 rounded-lg border
-          ${searchText ? 'bg-white border-gray-300 shadow-xs' : 'bg-gray-100 border-transparent'}
+          ${searchText ? 'bg-components-input-bg-active border-components-input-border-active shadow-xs' : 'bg-components-input-bg-normal border-transparent'}
         `}>
           <RiSearchLine
             className={`
               shrink-0 mr-[7px] w-[14px] h-[14px]
-              ${searchText ? 'text-gray-500' : 'text-gray-400'}
+              ${searchText ? 'text-text-tertiary' : 'text-text-quaternary'}
             `}
           />
           <input
-            className='block grow h-[18px] text-[13px] appearance-none outline-none bg-transparent'
+            className='block grow h-[18px] text-[13px] text-text-primary appearance-none outline-none bg-transparent'
             placeholder='Search model'
             value={searchText}
             onChange={e => setSearchText(e.target.value)}
@@ -60,7 +80,7 @@ const Popup: FC<PopupProps> = ({
           {
             searchText && (
               <XCircle
-                className='shrink-0 ml-1.5 w-[14px] h-[14px] text-gray-400 cursor-pointer'
+                className='shrink-0 ml-1.5 w-[14px] h-[14px] text-text-quaternary cursor-pointer'
                 onClick={() => setSearchText('')}
               />
             )
@@ -80,12 +100,19 @@ const Popup: FC<PopupProps> = ({
         }
         {
           !filteredModelList.length && (
-            <div className='px-3 py-1.5 leading-[18px] text-center text-xs text-gray-500 break-all'>
+            <div className='px-3 py-1.5 leading-[18px] text-center text-xs text-text-tertiary break-all'>
               {`No model found for “${searchText}”`}
             </div>
           )
         }
       </div>
+      <div className='sticky bottom-0 px-4 py-2 flex items-center border-t border-divider-subtle cursor-pointer text-text-accent-light-mode-only bg-components-panel-bg rounded-b-lg' onClick={() => {
+        onHide()
+        setShowAccountSettingModal({ payload: 'provider' })
+      }}>
+        <span className='system-xs-medium'>{t('common.model.settingsLink')}</span>
+        <RiArrowRightUpLine className='ml-0.5 w-3 h-3' />
+      </div>
     </div>
   )
 }
diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx
deleted file mode 100644
index 29afca1196..0000000000
--- a/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-import {
-  RiExternalLinkLine,
-} from '@remixicon/react'
-import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes'
-
-const ModelTrigger = () => {
-  return (
-    <div className='flex items-center px-2 h-8 rounded-lg bg-gray-100 hover:bg-gray-200 cursor-pointer'>
-      <div className='grow flex items-center'>
-        <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border-dashed border-black/5'>
-          <CubeOutline className='w-[11px] h-[11px] text-gray-400' />
-        </div>
-        <div
-          className='text-[13px] text-gray-500 truncate'
-          title='Select model'
-        >
-          Please setup the Rerank model
-        </div>
-      </div>
-      <div className='shrink-0 flex items-center justify-center w-4 h-4'>
-        <RiExternalLinkLine className='w-3.5 h-3.5 text-gray-500' />
-      </div>
-    </div>
-  )
-}
-
-export default ModelTrigger
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx
index cc8fa67efc..410ab1c090 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx
@@ -1,6 +1,7 @@
 import type { FC } from 'react'
 import { useTranslation } from 'react-i18next'
 import { PlusCircle } from '@/app/components/base/icons/src/vender/solid/general'
+import cn from '@/utils/classnames'
 
 type AddModelButtonProps = {
   className?: string
@@ -14,10 +15,7 @@ const AddModelButton: FC<AddModelButtonProps> = ({
 
   return (
     <span
-      className={`
-        shrink-0 flex items-center px-1.5 h-6 text-xs font-medium text-gray-500 cursor-pointer
-      hover:bg-primary-50 hover:text-primary-600 rounded-md ${className}
-      `}
+      className={cn('shrink-0 flex items-center px-1.5 h-6 text-text-tertiary system-xs-medium cursor-pointer hover:bg-components-button-ghost-bg-hover hover:text-components-button-ghost-text rounded-md', className)}
       onClick={onClick}
     >
       <PlusCircle className='mr-1 w-3 h-3' />
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx
index bdf93fe527..a21483c29f 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx
@@ -19,10 +19,10 @@ const CooldownTimer = ({ secondsRemaining, onFinish }: CooldownTimerProps) => {
     [currentTime],
   )
 
-  const countdownTimeout = useRef<NodeJS.Timeout>()
+  const countdownTimeout = useRef<number>(undefined)
   const clearCountdown = useCallback(() => {
     if (countdownTimeout.current) {
-      clearTimeout(countdownTimeout.current)
+      window.clearTimeout(countdownTimeout.current)
       countdownTimeout.current = undefined
     }
   }, [])
@@ -31,7 +31,7 @@ const CooldownTimer = ({ secondsRemaining, onFinish }: CooldownTimerProps) => {
 
   const countdown = useCallback(() => {
     clearCountdown()
-    countdownTimeout.current = setTimeout(() => {
+    countdownTimeout.current = window.setTimeout(() => {
       const now = Date.now()
       if (now <= targetTime.current) {
         setCurrentTime(Date.now())
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx
index f141e0018c..f43b5359ab 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx
@@ -1,5 +1,6 @@
 import type { FC } from 'react'
 import { useTranslation } from 'react-i18next'
+import { RiEqualizer2Line } from '@remixicon/react'
 import type { ModelProvider } from '../declarations'
 import {
   ConfigurationMethodEnum,
@@ -14,7 +15,6 @@ import PrioritySelector from './priority-selector'
 import PriorityUseTip from './priority-use-tip'
 import { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './index'
 import Indicator from '@/app/components/header/indicator'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
 import Button from '@/app/components/base/button'
 import { changeModelProviderPriority } from '@/service/common'
 import { useToastContext } from '@/app/components/base/toast'
@@ -66,10 +66,10 @@ const CredentialPanel: FC<CredentialPanelProps> = ({
     <>
       {
         provider.provider_credential_schema && (
-          <div className='shrink-0 relative ml-1 p-1 w-[112px] rounded-lg bg-white/[0.3] border-[0.5px] border-black/5'>
-            <div className='flex items-center justify-between mb-1 pt-1 pl-2 pr-[7px] h-5 text-xs font-medium text-gray-500'>
+          <div className='shrink-0 relative ml-1 p-1 w-[112px] rounded-lg bg-white/[0.18] border-[0.5px] border-components-panel-border'>
+            <div className='flex items-center justify-between mb-1 pt-1 pl-2 pr-[7px] h-5 system-xs-medium-uppercase text-text-tertiary'>
               API-KEY
-              <Indicator color={isCustomConfigured ? 'green' : 'gray'} />
+              <Indicator color={isCustomConfigured ? 'green' : 'red'} />
             </div>
             <div className='flex items-center gap-0.5'>
               <Button
@@ -77,7 +77,7 @@ const CredentialPanel: FC<CredentialPanelProps> = ({
                 size='small'
                 onClick={onSetup}
               >
-                <Settings01 className='mr-1 w-3 h-3' />
+                <RiEqualizer2Line className='mr-1 w-3.5 h-3.5' />
                 {t('common.operation.setup')}
               </Button>
               {
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx
index 5e73b36c42..a3dddf9435 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx
@@ -2,6 +2,8 @@ import type { FC } from 'react'
 import { useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import {
+  RiArrowRightSLine,
+  RiInformation2Fill,
   RiLoader2Line,
 } from '@remixicon/react'
 import type {
@@ -11,7 +13,6 @@ import type {
 } from '../declarations'
 import { ConfigurationMethodEnum } from '../declarations'
 import {
-  DEFAULT_BACKGROUND_COLOR,
   MODEL_PROVIDER_QUOTA_GET_PAID,
   modelTypeFormat,
 } from '../utils'
@@ -21,18 +22,20 @@ import CredentialPanel from './credential-panel'
 import QuotaPanel from './quota-panel'
 import ModelList from './model-list'
 import AddModelButton from './add-model-button'
-import { ChevronDownDouble } from '@/app/components/base/icons/src/vender/line/arrows'
 import { fetchModelProviderModelList } from '@/service/common'
 import { useEventEmitterContextContext } from '@/context/event-emitter'
 import { IS_CE_EDITION } from '@/config'
 import { useAppContext } from '@/context/app-context'
+import cn from '@/utils/classnames'
 
 export const UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST = 'UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST'
 type ProviderAddedCardProps = {
+  notConfigured?: boolean
   provider: ModelProvider
   onOpenModal: (configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => void
 }
 const ProviderAddedCard: FC<ProviderAddedCardProps> = ({
+  notConfigured,
   provider,
   onOpenModal,
 }) => {
@@ -47,6 +50,7 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({
   const hasModelList = fetched && !!modelList.length
   const { isCurrentWorkspaceManager } = useAppContext()
   const showQuota = systemConfig.enabled && [...MODEL_PROVIDER_QUOTA_GET_PAID].includes(provider.provider) && !IS_CE_EDITION
+  const showCredential = configurationMethods.includes(ConfigurationMethodEnum.predefinedModel) && isCurrentWorkspaceManager
 
   const getModelList = async (providerName: string) => {
     if (loading)
@@ -78,8 +82,11 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({
 
   return (
     <div
-      className='mb-2 rounded-xl border-[0.5px] border-black/5 shadow-xs'
-      style={{ background: provider.background || DEFAULT_BACKGROUND_COLOR }}
+      className={cn(
+        'mb-2 rounded-xl border-[0.5px] border-divider-regular shadow-xs bg-third-party-model-bg-default',
+        provider.provider === 'langgenius/openai/openai' && 'bg-third-party-model-bg-openai',
+        provider.provider === 'langgenius/anthropic/anthropic' && 'bg-third-party-model-bg-anthropic',
+      )}
     >
       <div className='flex pl-3 py-2 pr-2 rounded-t-xl'>
         <div className='grow px-1 pt-1 pb-0.5'>
@@ -105,7 +112,7 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({
           )
         }
         {
-          configurationMethods.includes(ConfigurationMethodEnum.predefinedModel) && isCurrentWorkspaceManager && (
+          showCredential && (
             <CredentialPanel
               onSetup={() => onOpenModal(ConfigurationMethodEnum.predefinedModel)}
               provider={provider}
@@ -115,35 +122,46 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({
       </div>
       {
         collapsed && (
-          <div className='group flex items-center justify-between pl-2 py-1.5 pr-[11px] border-t border-t-black/5 bg-white/30 text-xs font-medium text-gray-500'>
-            <div className='group-hover:hidden pl-1 pr-1.5 h-6 leading-6'>
-              {
-                hasModelList
-                  ? t('common.modelProvider.modelsNum', { num: modelList.length })
-                  : t('common.modelProvider.showModels')
-              }
-            </div>
-            <div
-              className='hidden group-hover:flex items-center pl-1 pr-1.5 h-6 rounded-lg hover:bg-white cursor-pointer'
-              onClick={handleOpenModelList}
-            >
-              <ChevronDownDouble className='mr-0.5 w-3 h-3' />
-              {
-                hasModelList
-                  ? t('common.modelProvider.showModelsNum', { num: modelList.length })
-                  : t('common.modelProvider.showModels')
-              }
-              {
-                loading && (
-                  <RiLoader2Line className='ml-0.5 animate-spin w-3 h-3' />
-                )
-              }
-            </div>
+          <div className='group flex items-center justify-between pl-2 py-1.5 pr-[11px] border-t border-t-divider-subtle text-text-tertiary system-xs-medium'>
+            {(showQuota || !notConfigured) && (
+              <>
+                <div className='group-hover:hidden flex items-center pl-1 pr-1.5 h-6 leading-6'>
+                  {
+                    hasModelList
+                      ? t('common.modelProvider.modelsNum', { num: modelList.length })
+                      : t('common.modelProvider.showModels')
+                  }
+                  {!loading && <RiArrowRightSLine className='w-4 h-4' />}
+                </div>
+                <div
+                  className='hidden group-hover:flex items-center pl-1 pr-1.5 h-6 rounded-lg hover:bg-components-button-ghost-bg-hover cursor-pointer'
+                  onClick={handleOpenModelList}
+                >
+                  {
+                    hasModelList
+                      ? t('common.modelProvider.showModelsNum', { num: modelList.length })
+                      : t('common.modelProvider.showModels')
+                  }
+                  {!loading && <RiArrowRightSLine className='w-4 h-4' />}
+                  {
+                    loading && (
+                      <RiLoader2Line className='ml-0.5 animate-spin w-3 h-3' />
+                    )
+                  }
+                </div>
+              </>
+            )}
+            {!showQuota && notConfigured && (
+              <div className='flex items-center pl-1 pr-1.5 h-6'>
+                <RiInformation2Fill className='mr-1 w-4 h-4 text-text-accent' />
+                <span className='text-text-secondary system-xs-medium'>{t('common.modelProvider.configureTip')}</span>
+              </div>
+            )}
             {
               configurationMethods.includes(ConfigurationMethodEnum.customizableModel) && isCurrentWorkspaceManager && (
                 <AddModelButton
                   onClick={() => onOpenModal(ConfigurationMethodEnum.customizableModel)}
-                  className='hidden group-hover:flex group-hover:text-primary-600'
+                  className='flex'
                 />
               )
             }
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx
index 3fc73a62b2..6c4a3f575e 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx
@@ -49,7 +49,7 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad
       key={model.model}
       className={classNames(
         'group flex items-center pl-2 pr-2.5 h-8 rounded-lg',
-        isConfigurable && 'hover:bg-gray-50',
+        isConfigurable && 'hover:bg-components-panel-on-panel-item-bg-hover',
         model.deprecated && 'opacity-60',
       )}
     >
@@ -59,14 +59,14 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad
         modelName={model.model}
       />
       <ModelName
-        className='grow text-sm font-normal text-gray-900'
+        className='grow system-md-regular text-text-secondary'
         modelItem={model}
         showModelType
         showMode
         showContextSize
       >
         {modelLoadBalancingEnabled && !model.deprecated && model.load_balancing_enabled && (
-          <ModelBadge className='ml-1 uppercase text-indigo-600 border-indigo-300'>
+          <ModelBadge className='ml-1 uppercase text-text-accent-secondary border-text-accent-secondary'>
             <Balance className='w-3 h-3 mr-0.5' />
             {t('common.modelProvider.loadBalancingHeadline')}
           </ModelBadge>
@@ -77,20 +77,22 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad
           model.fetch_from === ConfigurationMethodEnum.customizableModel
             ? (isCurrentWorkspaceManager && (
               <Button
-                className='hidden group-hover:flex h-7'
+                size='small'
+                className='hidden group-hover:flex'
                 onClick={() => onConfig({ __model_name: model.model, __model_type: model.model_type })}
               >
-                <Settings01 className='mr-[5px] w-3.5 h-3.5' />
+                <Settings01 className='mr-1 w-3.5 h-3.5' />
                 {t('common.modelProvider.config')}
               </Button>
             ))
             : (isCurrentWorkspaceManager && (modelLoadBalancingEnabled || plan.type === Plan.sandbox) && !model.deprecated && [ModelStatusEnum.active, ModelStatusEnum.disabled].includes(model.status))
               ? (
                 <Button
-                  className='opacity-0 group-hover:opacity-100 h-[28px] transition-opacity'
+                  size='small'
+                  className='opacity-0 group-hover:opacity-100 transition-opacity'
                   onClick={() => onModifyLoadBalancing?.(model)}
                 >
-                  <Balance className='mr-1 w-[14px] h-[14px]' />
+                  <Balance className='mr-1 w-3.5 h-3.5' />
                   {t('common.modelProvider.configLoadBalancing')}
                 </Button>
               )
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx
index e321d4076d..b4b331c4bc 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx
@@ -1,6 +1,9 @@
 import type { FC } from 'react'
 import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
+import {
+  RiArrowRightSLine,
+} from '@remixicon/react'
 import type {
   CustomConfigurationModelFixedFields,
   ModelItem,
@@ -12,7 +15,6 @@ import {
 // import Tab from './tab'
 import AddModelButton from './add-model-button'
 import ModelListItem from './model-list-item'
-import { ChevronDownDouble } from '@/app/components/base/icons/src/vender/line/arrows'
 import { useModalContextSelector } from '@/context/modal-context'
 import { useAppContext } from '@/context/app-context'
 
@@ -48,18 +50,19 @@ const ModelList: FC<ModelListProps> = ({
 
   return (
     <div className='px-2 pb-2 rounded-b-xl'>
-      <div className='py-1 bg-white rounded-lg'>
+      <div className='py-1 bg-components-panel-bg rounded-lg'>
         <div className='flex items-center pl-1 pr-[3px]'>
           <span className='group shrink-0 flex items-center mr-2'>
-            <span className='group-hover:hidden pl-1 pr-1.5 h-6 leading-6 text-xs font-medium text-gray-500'>
+            <span className='group-hover:hidden inline-flex items-center pl-1 pr-1.5 h-6 system-xs-medium text-text-tertiary'>
               {t('common.modelProvider.modelsNum', { num: models.length })}
+              <RiArrowRightSLine className='mr-0.5 w-4 h-4 rotate-90' />
             </span>
             <span
-              className='hidden group-hover:inline-flex items-center pl-1 pr-1.5 h-6 text-xs font-medium text-gray-500 bg-gray-50 cursor-pointer rounded-lg'
+              className='hidden group-hover:inline-flex items-center pl-1 pr-1.5 h-6 system-xs-medium text-text-tertiary bg-state-base-hover cursor-pointer rounded-lg'
               onClick={() => onCollapse()}
             >
-              <ChevronDownDouble className='mr-0.5 w-3 h-3 rotate-180' />
-              {t('common.modelProvider.collapse')}
+              {t('common.modelProvider.modelsNum', { num: models.length })}
+              <RiArrowRightSLine className='mr-0.5 w-4 h-4 rotate-90' />
             </span>
           </span>
           {/* {
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx
index 94184076fd..2d5cf26257 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx
@@ -145,19 +145,19 @@ const ModelLoadBalancingConfigs = ({
     <>
       <div
         className={classNames(
-          'min-h-16 bg-gray-50 border rounded-xl transition-colors',
-          (withSwitch || !draftConfig.enabled) ? 'border-gray-200' : 'border-primary-400',
+          'min-h-16 bg-components-panel-bg border rounded-xl transition-colors',
+          (withSwitch || !draftConfig.enabled) ? 'border-components-panel-border' : 'border-util-colors-blue-blue-600',
           (withSwitch || draftConfig.enabled) ? 'cursor-default' : 'cursor-pointer',
           className,
         )}
         onClick={(!withSwitch && !draftConfig.enabled) ? () => toggleModalBalancing(true) : undefined}
       >
         <div className='flex items-center px-[15px] py-3 gap-2 select-none'>
-          <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 text-primary-600 bg-indigo-50 border border-indigo-100 rounded-lg'>
+          <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 text-util-colors-blue-blue-600 bg-util-colors-indigo-indigo-50 border border-util-colors-indigo-indigo-100 rounded-lg'>
             <Balance className='w-4 h-4' />
           </div>
           <div className='grow'>
-            <div className='flex items-center gap-1 text-sm'>
+            <div className='flex items-center gap-1 text-sm text-text-primary'>
               {t('common.modelProvider.loadBalancing')}
               <Tooltip
                 popupContent={t('common.modelProvider.loadBalancingInfo')}
@@ -165,7 +165,7 @@ const ModelLoadBalancingConfigs = ({
                 triggerClassName='w-3 h-3'
               />
             </div>
-            <div className='text-xs text-gray-500'>{t('common.modelProvider.loadBalancingDescription')}</div>
+            <div className='text-xs text-text-tertiary'>{t('common.modelProvider.loadBalancingDescription')}</div>
           </div>
           {
             withSwitch && (
@@ -184,7 +184,7 @@ const ModelLoadBalancingConfigs = ({
             {draftConfig.configs.map((config, index) => {
               const isProviderManaged = config.name === '__inherit__'
               return (
-                <div key={config.id || index} className='group flex items-center px-3 h-10 bg-white border border-gray-200 rounded-lg shadow-xs'>
+                <div key={config.id || index} className='group flex items-center px-3 h-10 bg-components-panel-on-panel-item-bg border border-components-panel-border rounded-lg shadow-xs'>
                   <div className='grow flex items-center'>
                     <div className='flex items-center justify-center mr-2 w-3 h-3'>
                       {(config.in_cooldown && Boolean(config.ttl))
@@ -201,7 +201,7 @@ const ModelLoadBalancingConfigs = ({
                       {isProviderManaged ? t('common.modelProvider.defaultConfig') : config.name}
                     </div>
                     {isProviderManaged && (
-                      <span className='px-1 text-2xs uppercase text-gray-500 border border-black/8 rounded-[5px]'>{t('common.modelProvider.providerManaged')}</span>
+                      <span className='px-1 text-2xs uppercase text-text-tertiary border border-divider-regular rounded-[5px]'>{t('common.modelProvider.providerManaged')}</span>
                     )}
                   </div>
                   <div className='flex items-center gap-1'>
@@ -209,18 +209,18 @@ const ModelLoadBalancingConfigs = ({
                       <>
                         <div className='flex items-center gap-1 opacity-0 transition-opacity group-hover:opacity-100'>
                           <span
-                            className='flex items-center justify-center w-8 h-8 text-gray-500 bg-white rounded-lg transition-colors cursor-pointer hover:bg-black/5'
+                            className='flex items-center justify-center w-8 h-8 text-text-tertiary bg-components-button-secondary-bg rounded-lg transition-colors cursor-pointer hover:bg-components-button-secondary-bg-hover'
                             onClick={() => toggleEntryModal(index, config)}
                           >
                             <Edit02 className='w-4 h-4' />
                           </span>
                           <span
-                            className='flex items-center justify-center w-8 h-8 text-gray-500 bg-white rounded-lg transition-colors cursor-pointer hover:bg-black/5'
+                            className='flex items-center justify-center w-8 h-8 text-text-tertiary bg-components-button-secondary-bg rounded-lg transition-colors cursor-pointer hover:bg-components-button-secondary-bg-hover'
                             onClick={() => updateConfigEntry(index, () => undefined)}
                           >
                             <RiDeleteBinLine className='w-4 h-4' />
                           </span>
-                          <span className='mr-2 h-3 border-r border-r-gray-100' />
+                          <span className='mr-2 h-3 border-r border-r-divider-subtle' />
                         </div>
                       </>
                     )}
@@ -247,7 +247,7 @@ const ModelLoadBalancingConfigs = ({
         )}
         {
           draftConfig.enabled && draftConfig.configs.length < 2 && (
-            <div className='flex items-center px-6 h-[34px] text-xs text-gray-700 bg-black/2 border-t border-t-black/5'>
+            <div className='flex items-center px-6 h-[34px] text-xs text-text-secondary bg-components-panel-bg border-t border-t-divider-subtle'>
               <AlertTriangle className='mr-1 w-3 h-3 text-[#f79009]' />
               {t('common.modelProvider.loadBalancingLeastKeyWarning')}
             </div>
@@ -257,7 +257,7 @@ const ModelLoadBalancingConfigs = ({
 
       {!modelLoadBalancingEnabled && !IS_CE_EDITION && (
         <GridMask canvasClassName='!rounded-xl'>
-          <div className='flex items-center justify-between mt-2 px-4 h-14 border-[0.5px] border-gray-200 rounded-xl shadow-md'>
+          <div className='flex items-center justify-between mt-2 px-4 h-14 border-[0.5px] border-components-panel-border rounded-xl shadow-md'>
             <div
               className={classNames('text-sm font-semibold leading-tight text-gradient', s.textGradient)}
             >
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
index edbb4665e9..bdc6b13c2c 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
@@ -119,7 +119,7 @@ const ModelLoadBalancingModal = ({ provider, model, open = false, onClose, onSav
                 modelName={model!.model}
               />
               <ModelName
-                className='grow text-sm font-normal text-gray-900'
+                className='grow system-md-regular text-text-secondary'
                 modelItem={model!}
                 showModelType
                 showMode
@@ -137,20 +137,20 @@ const ModelLoadBalancingModal = ({ provider, model, open = false, onClose, onSav
             <div className='py-2'>
               <div
                 className={classNames(
-                  'min-h-16 bg-gray-50 border rounded-xl transition-colors',
-                  draftConfig.enabled ? 'border-gray-200 cursor-pointer' : 'border-primary-400 cursor-default',
+                  'min-h-16 bg-components-panel-bg border rounded-xl transition-colors',
+                  draftConfig.enabled ? 'border-components-panel-border cursor-pointer' : 'border-util-colors-blue-blue-600 cursor-default',
                 )}
                 onClick={draftConfig.enabled ? () => toggleModalBalancing(false) : undefined}
               >
                 <div className='flex items-center px-[15px] py-3 gap-2 select-none'>
-                  <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 bg-white border rounded-lg'>
+                  <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 bg-components-card-bg border border-components-card-border rounded-lg'>
                     {Boolean(model) && (
                       <ModelIcon className='shrink-0' provider={provider} modelName={model!.model} />
                     )}
                   </div>
                   <div className='grow'>
-                    <div className='text-sm'>{t('common.modelProvider.providerManaged')}</div>
-                    <div className='text-xs text-gray-500'>{t('common.modelProvider.providerManagedDescription')}</div>
+                    <div className='text-sm text-text-secondary'>{t('common.modelProvider.providerManaged')}</div>
+                    <div className='text-xs text-text-tertiary'>{t('common.modelProvider.providerManagedDescription')}</div>
                   </div>
                 </div>
               </div>
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx
index 7e44011ead..e93c6636b5 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx
@@ -8,6 +8,7 @@ import {
 } from '@remixicon/react'
 import { PreferredProviderTypeEnum } from '../declarations'
 import Button from '@/app/components/base/button'
+import cn from '@/utils/classnames'
 
 type SelectorProps = {
   value?: string
@@ -34,11 +35,11 @@ const Selector: FC<SelectorProps> = ({
       <Popover.Button>
         {
           ({ open }) => (
-            <Button className={`
-              px-0 w-6 h-6 bg-white rounded-md
-              ${open && '!bg-gray-100'}
-            `}>
-              <RiMoreFill className='w-3 h-3 text-gray-700' />
+            <Button className={cn(
+              'px-0 w-6 h-6 rounded-md',
+              open && 'bg-components-button-secondary-bg-hover',
+            )}>
+              <RiMoreFill className='w-3 h-3' />
             </Button>
           )
         }
@@ -49,18 +50,18 @@ const Selector: FC<SelectorProps> = ({
         leaveFrom='opacity-100'
         leaveTo='opacity-0'
       >
-        <Popover.Panel className='absolute top-7 right-0 w-[144px] bg-white border-[0.5px] border-gray-200 rounded-lg shadow-lg z-10'>
+        <Popover.Panel className='absolute top-7 right-0 w-[144px] bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-lg shadow-lg z-10'>
           <div className='p-1'>
-            <div className='px-3 pt-2 pb-1 text-sm font-medium text-gray-700'>{t('common.modelProvider.card.priorityUse')}</div>
+            <div className='px-3 pt-2 pb-1 text-sm font-medium text-text-secondary'>{t('common.modelProvider.card.priorityUse')}</div>
             {
               options.map(option => (
                 <Popover.Button as={Fragment} key={option.key}>
                   <div
-                    className='flex items-center justify-between px-3 h-9 text-sm text-gray-700 rounded-lg cursor-pointer hover:bg-gray-50'
+                    className='flex items-center justify-between px-3 h-9 text-sm text-text-secondary rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover'
                     onClick={() => onSelect(option.key)}
                   >
                     <div className='grow'>{option.text}</div>
-                    {value === option.key && <RiCheckLine className='w-4 h-4 text-primary-600' />}
+                    {value === option.key && <RiCheckLine className='w-4 h-4 text-text-accent' />}
                   </div>
                 </Popover.Button>
               ))
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx
index 24e91d2214..91e45ad1a3 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx
@@ -9,8 +9,8 @@ const PriorityUseTip = () => {
     <Tooltip
       popupContent={t('common.modelProvider.priorityUsing') || ''}
     >
-      <div className='absolute -right-[5px] -top-[5px] bg-indigo-50 rounded-[5px] border-[0.5px] border-indigo-100 cursor-pointer'>
-        <ChevronDownDouble className='rotate-180 w-3 h-3 text-indigo-600' />
+      <div className='absolute -right-[5px] -top-[5px] bg-util-colors-indigo-indigo-50 rounded-[5px] border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer'>
+        <ChevronDownDouble className='rotate-180 w-3 h-3 text-util-colors-indigo-indigo-600' />
       </div>
     </Tooltip>
   )
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx
index 0f5c265d52..8d0ea83d65 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx
@@ -28,8 +28,8 @@ const QuotaPanel: FC<QuotaPanelProps> = ({
   const openaiOrAnthropic = MODEL_PROVIDER_QUOTA_GET_PAID.includes(provider.provider)
 
   return (
-    <div className='group relative shrink-0 min-w-[112px] px-3 py-2 rounded-lg bg-white/[0.3] border-[0.5px] border-black/5'>
-      <div className='flex items-center mb-2 h-4 text-xs font-medium text-gray-500'>
+    <div className='group relative shrink-0 min-w-[112px] px-3 py-2 rounded-lg bg-white/[0.18] border-[0.5px] border-components-panel-border shadow-xs'>
+      <div className='flex items-center mb-2 h-4 system-xs-medium-uppercase text-text-tertiary'>
         {t('common.modelProvider.quota')}
         <Tooltip popupContent={
           openaiOrAnthropic
@@ -40,8 +40,8 @@ const QuotaPanel: FC<QuotaPanelProps> = ({
       </div>
       {
         currentQuota && (
-          <div className='flex items-center h-4 text-xs text-gray-500'>
-            <span className='mr-0.5 text-sm font-semibold text-gray-700'>{formatNumber((currentQuota?.quota_limit || 0) - (currentQuota?.quota_used || 0))}</span>
+          <div className='flex items-center h-4 text-xs text-text-tertiary'>
+            <span className='mr-0.5 system-md-semibold-uppercase text-text-secondary'>{formatNumber((currentQuota?.quota_limit || 0) - (currentQuota?.quota_used || 0))}</span>
             {
               currentQuota?.quota_unit === QuotaUnitEnum.tokens && 'Tokens'
             }
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx
deleted file mode 100644
index 5a533947d2..0000000000
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx
+++ /dev/null
@@ -1,45 +0,0 @@
-import type { FC } from 'react'
-
-type TabProps = {
-  active: string
-  onSelect: (active: string) => void
-}
-const Tab: FC<TabProps> = ({
-  active,
-  onSelect,
-}) => {
-  const tabs = [
-    {
-      key: 'all',
-      text: 'All',
-    },
-    {
-      key: 'added',
-      text: 'Added',
-    },
-    {
-      key: 'build-in',
-      text: 'Build-in',
-    },
-  ]
-  return (
-    <div className='flex items-center'>
-      {
-        tabs.map(tab => (
-          <div
-            key={tab.key}
-            className={`
-              flex items-center mr-1 px-[5px] h-[18px] rounded-md text-xs cursor-pointer
-              ${active === tab.key ? 'bg-gray-200 font-medium text-gray-900' : 'text-gray-500 font-normal'}
-            `}
-            onClick={() => onSelect(tab.key)}
-          >
-            {tab.text}
-          </div>
-        ))
-      }
-    </div>
-  )
-}
-
-export default Tab
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css b/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css
deleted file mode 100644
index 88c9fd015e..0000000000
--- a/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css
+++ /dev/null
@@ -1,4 +0,0 @@
-.vender {
-  background: linear-gradient(131deg, #2250F2 0%, #0EBCF3 100%);
-  background-clip: text;
-}
\ No newline at end of file
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx
deleted file mode 100644
index ec66a9928b..0000000000
--- a/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx
+++ /dev/null
@@ -1,103 +0,0 @@
-import type { FC } from 'react'
-import { useTranslation } from 'react-i18next'
-import {
-  RiAddLine,
-} from '@remixicon/react'
-import type {
-  ModelProvider,
-} from '../declarations'
-import { ConfigurationMethodEnum } from '../declarations'
-import {
-  DEFAULT_BACKGROUND_COLOR,
-  modelTypeFormat,
-} from '../utils'
-import {
-  useLanguage,
-} from '../hooks'
-import ModelBadge from '../model-badge'
-import ProviderIcon from '../provider-icon'
-import s from './index.module.css'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
-import Button from '@/app/components/base/button'
-import { useAppContext } from '@/context/app-context'
-
-type ProviderCardProps = {
-  provider: ModelProvider
-  onOpenModal: (configurateMethod: ConfigurationMethodEnum) => void
-}
-
-const ProviderCard: FC<ProviderCardProps> = ({
-  provider,
-  onOpenModal,
-}) => {
-  const { t } = useTranslation()
-  const language = useLanguage()
-  const { isCurrentWorkspaceManager } = useAppContext()
-  const configurateMethods = provider.configurate_methods.filter(method => method !== ConfigurationMethodEnum.fetchFromRemote)
-
-  return (
-    <div
-      className='group relative flex flex-col px-4 py-3 h-[148px] border-[0.5px] border-black/5 rounded-xl shadow-xs hover:shadow-lg'
-      style={{ background: provider.background || DEFAULT_BACKGROUND_COLOR }}
-    >
-      <div className='grow h-0'>
-        <div className='py-0.5'>
-          <ProviderIcon provider={provider} />
-        </div>
-        {
-          provider.description && (
-            <div
-              className='mt-1 leading-4 text-xs text-black/[48] line-clamp-4'
-              title={provider.description[language] || provider.description.en_US}
-            >
-              {provider.description[language] || provider.description.en_US}
-            </div>
-          )
-        }
-      </div>
-      <div className='shrink-0'>
-        <div className={'flex flex-wrap group-hover:hidden gap-0.5'}>
-          {
-            provider.supported_model_types.map(modelType => (
-              <ModelBadge key={modelType}>
-                {modelTypeFormat(modelType)}
-              </ModelBadge>
-            ))
-          }
-        </div>
-        <div className={`hidden group-hover:grid grid-cols-${configurateMethods.length} gap-1`}>
-          {
-            configurateMethods.map((method) => {
-              if (method === ConfigurationMethodEnum.predefinedModel) {
-                return (
-                  <Button
-                    key={method}
-                    className={'h-7 text-xs shrink-0'}
-                    onClick={() => onOpenModal(method)}
-                    disabled={!isCurrentWorkspaceManager}
-                  >
-                    <Settings01 className={`mr-[5px] w-3.5 h-3.5 ${s.icon}`} />
-                    <span className='text-xs inline-flex items-center justify-center overflow-ellipsis shrink-0'>{t('common.operation.setup')}</span>
-                  </Button>
-                )
-              }
-              return (
-                <Button
-                  key={method}
-                  className='px-0 h-7 text-xs'
-                  onClick={() => onOpenModal(method)}
-                  disabled={!isCurrentWorkspaceManager}
-                >
-                  <RiAddLine className='mr-[5px] w-3.5 h-3.5' />
-                  {t('common.modelProvider.addModel')}
-                </Button>
-              )
-            })
-          }
-        </div>
-      </div>
-    </div>
-  )
-}
-
-export default ProviderCard
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx
index 768f2c2766..e669b4a38b 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx
@@ -1,6 +1,12 @@
 import type { FC } from 'react'
 import type { ModelProvider } from '../declarations'
 import { useLanguage } from '../hooks'
+import { useAppContext } from '@/context/app-context'
+import { Openai } from '@/app/components/base/icons/src/vender/other'
+import { AnthropicDark, AnthropicLight } from '@/app/components/base/icons/src/public/llm'
+import { renderI18nObject } from '@/hooks/use-i18n'
+import { Theme } from '@/types/app'
+import cn from '@/utils/classnames'
 
 type ProviderIconProps = {
   provider: ModelProvider
@@ -10,22 +16,35 @@ const ProviderIcon: FC<ProviderIconProps> = ({
   provider,
   className,
 }) => {
+  const { theme } = useAppContext()
   const language = useLanguage()
 
-  if (provider.icon_large) {
+  if (provider.provider === 'langgenius/anthropic/anthropic') {
     return (
-      <img
-        alt='provider-icon'
-        src={`${provider.icon_large[language] || provider.icon_large.en_US}`}
-        className={`w-auto h-6 ${className}`}
-      />
+      <div className='mb-2 py-[7px]'>
+        {theme === Theme.dark && <AnthropicLight className='w-[90px] h-2.5' />}
+        {theme === Theme.light && <AnthropicDark className='w-[90px] h-2.5' />}
+      </div>
+    )
+  }
+
+  if (provider.provider === 'langgenius/openai/openai') {
+    return (
+      <div className='mb-2'>
+        <Openai className='w-auto h-6 text-text-inverted-dimmed' />
+      </div>
     )
   }
 
   return (
-    <div className={`inline-flex items-center ${className}`}>
-      <div className='text-xs font-semibold text-black'>
-        {provider.label[language] || provider.label.en_US}
+    <div className={cn('inline-flex items-center gap-2', className)}>
+      <img
+        alt='provider-icon'
+        src={renderI18nObject(provider.icon_small, language)}
+        className='w-6 h-6'
+      />
+      <div className='system-md-semibold text-text-primary'>
+        {renderI18nObject(provider.label, language)}
       </div>
     </div>
   )
diff --git a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx
index 1574785898..ec2bdc265f 100644
--- a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx
@@ -1,6 +1,7 @@
 import type { FC } from 'react'
 import { useState } from 'react'
 import { useTranslation } from 'react-i18next'
+import { RiEqualizer2Line } from '@remixicon/react'
 import ModelSelector from '../model-selector'
 import {
   useModelList,
@@ -13,7 +14,6 @@ import type {
 } from '../declarations'
 import { ModelTypeEnum } from '../declarations'
 import Tooltip from '@/app/components/base/tooltip'
-import { Settings01 } from '@/app/components/base/icons/src/vender/line/general'
 import {
   PortalToFollowElem,
   PortalToFollowElemContent,
@@ -31,6 +31,7 @@ type SystemModelSelectorProps = {
   rerankDefaultModel: DefaultModelResponse | undefined
   speech2textDefaultModel: DefaultModelResponse | undefined
   ttsDefaultModel: DefaultModelResponse | undefined
+  notConfigured: boolean
 }
 const SystemModel: FC<SystemModelSelectorProps> = ({
   textGenerationDefaultModel,
@@ -38,6 +39,7 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
   rerankDefaultModel,
   speech2textDefaultModel,
   ttsDefaultModel,
+  notConfigured,
 }) => {
   const { t } = useTranslation()
   const { notify } = useToastContext()
@@ -128,23 +130,23 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
       }}
     >
       <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}>
-        <div className={`
-          flex items-center px-2 h-6 text-xs text-gray-700 cursor-pointer bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs
-          hover:bg-gray-100 hover:shadow-none
-          ${open && 'bg-gray-100 shadow-none'}
-        `}>
-          <Settings01 className='mr-1 w-3 h-3 text-gray-500' />
+        <Button
+          className='relative'
+          variant={notConfigured ? 'primary' : 'secondary'}
+          size='small'
+        >
+          <RiEqualizer2Line className='mr-1 w-3.5 h-3.5' />
           {t('common.modelProvider.systemModelSettings')}
-        </div>
+        </Button>
       </PortalToFollowElemTrigger>
-      <PortalToFollowElemContent className='z-50'>
-        <div className='pt-4 w-[360px] rounded-xl border-[0.5px] border-black/5 bg-white shadow-xl'>
+      <PortalToFollowElemContent className='z-[60]'>
+        <div className='pt-4 w-[360px] rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-xl'>
           <div className='px-6 py-1'>
-            <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+            <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'>
               {t('common.modelProvider.systemReasoningModel.key')}
               <Tooltip
                 popupContent={
-                  <div className='w-[261px] text-gray-500'>
+                  <div className='w-[261px] text-text-tertiary'>
                     {t('common.modelProvider.systemReasoningModel.tip')}
                   </div>
                 }
@@ -160,11 +162,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
             </div>
           </div>
           <div className='px-6 py-1'>
-            <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+            <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'>
               {t('common.modelProvider.embeddingModel.key')}
               <Tooltip
                 popupContent={
-                  <div className='w-[261px] text-gray-500'>
+                  <div className='w-[261px] text-text-tertiary'>
                     {t('common.modelProvider.embeddingModel.tip')}
                   </div>
                 }
@@ -180,11 +182,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
             </div>
           </div>
           <div className='px-6 py-1'>
-            <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+            <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'>
               {t('common.modelProvider.rerankModel.key')}
               <Tooltip
                 popupContent={
-                  <div className='w-[261px] text-gray-500'>
+                  <div className='w-[261px] text-text-tertiary'>
                     {t('common.modelProvider.rerankModel.tip')}
                   </div>
                 }
@@ -200,11 +202,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
             </div>
           </div>
           <div className='px-6 py-1'>
-            <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+            <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'>
               {t('common.modelProvider.speechToTextModel.key')}
               <Tooltip
                 popupContent={
-                  <div className='w-[261px] text-gray-500'>
+                  <div className='w-[261px] text-text-tertiary'>
                     {t('common.modelProvider.speechToTextModel.tip')}
                   </div>
                 }
@@ -220,11 +222,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({
             </div>
           </div>
           <div className='px-6 py-1'>
-            <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+            <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'>
               {t('common.modelProvider.ttsModel.key')}
               <Tooltip
                 popupContent={
-                  <div className='w-[261px] text-gray-500'>
+                  <div className='w-[261px] text-text-tertiary'>
                     {t('common.modelProvider.ttsModel.tip')}
                   </div>
                 }
diff --git a/web/app/components/header/account-setting/model-provider-page/utils.ts b/web/app/components/header/account-setting/model-provider-page/utils.ts
index 165926b2bb..9056afe69b 100644
--- a/web/app/components/header/account-setting/model-provider-page/utils.ts
+++ b/web/app/components/header/account-setting/model-provider-page/utils.ts
@@ -18,9 +18,7 @@ import {
   validateModelProvider,
 } from '@/service/common'
 
-export const MODEL_PROVIDER_QUOTA_GET_PAID = ['anthropic', 'openai', 'azure_openai']
-
-export const DEFAULT_BACKGROUND_COLOR = '#F3F4F6'
+export const MODEL_PROVIDER_QUOTA_GET_PAID = ['langgenius/anthropic/anthropic', 'langgenius/openai/openai', 'langgenius/azure_openai/azure_openai']
 
 export const isNullOrUndefined = (value: any) => {
   return value === undefined || value === null
diff --git a/web/app/components/header/app-nav/index.tsx b/web/app/components/header/app-nav/index.tsx
index d4dd9e3ffd..3ac57926e9 100644
--- a/web/app/components/header/app-nav/index.tsx
+++ b/web/app/components/header/app-nav/index.tsx
@@ -11,7 +11,7 @@ import {
   RiRobot2Line,
 } from '@remixicon/react'
 import Nav from '../nav'
-import { type NavItem } from '../nav/nav-selector'
+import type { NavItem } from '../nav/nav-selector'
 import { fetchAppList } from '@/service/apps'
 import CreateAppTemplateDialog from '@/app/components/app/create-app-dialog'
 import CreateAppModal from '@/app/components/app/create-app-modal'
diff --git a/web/app/components/header/index.tsx b/web/app/components/header/index.tsx
index 9a32bbb37a..d0807ff8ad 100644
--- a/web/app/components/header/index.tsx
+++ b/web/app/components/header/index.tsx
@@ -4,23 +4,24 @@ import Link from 'next/link'
 import { useBoolean } from 'ahooks'
 import { useSelectedLayoutSegment } from 'next/navigation'
 import { Bars3Icon } from '@heroicons/react/20/solid'
-import { useContextSelector } from 'use-context-selector'
-import HeaderBillingBtn from '../billing/header-billing-btn'
+import { SparklesSoft } from '@/app/components/base/icons/src/public/common'
+import PremiumBadge from '../base/premium-badge'
 import AccountDropdown from './account-dropdown'
 import AppNav from './app-nav'
 import DatasetNav from './dataset-nav'
 import EnvNav from './env-nav'
+import PluginsNav from './plugins-nav'
 import ExploreNav from './explore-nav'
 import ToolsNav from './tools-nav'
-import GithubStar from './github-star'
 import LicenseNav from './license-env'
 import { WorkspaceProvider } from '@/context/workspace-context'
-import AppContext, { useAppContext } from '@/context/app-context'
+import { useAppContext } from '@/context/app-context'
 import LogoSite from '@/app/components/base/logo/logo-site'
+import WorkplaceSelector from '@/app/components/header/account-dropdown/workplace-selector'
 import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import { useProviderContext } from '@/context/provider-context'
 import { useModalContext } from '@/context/modal-context'
-import { LicenseStatus } from '@/types/feature'
+import { useTranslation } from 'react-i18next'
 
 const navClassName = `
   flex items-center relative mr-0 sm:mr-3 px-3 h-8 rounded-xl
@@ -30,7 +31,8 @@ const navClassName = `
 
 const Header = () => {
   const { isCurrentWorkspaceEditor, isCurrentWorkspaceDatasetOperator } = useAppContext()
-  const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures)
+  const { t } = useTranslation()
+
   const selectedSegment = useSelectedLayoutSegment()
   const media = useBreakpoints()
   const isMobile = media === MediaType.mobile
@@ -58,50 +60,84 @@ const Header = () => {
         >
           <Bars3Icon className="h-4 w-4 text-gray-500" />
         </div>}
-        {!isMobile && <>
-          <Link href="/apps" className='flex items-center mr-4'>
-            <LogoSite className='object-contain' />
-          </Link>
-          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
-        </>}
-      </div>
+        {
+          !isMobile
+          && <div className='flex w-64 p-2 pl-3 gap-1.5 items-center shrink-0 self-stretch'>
+            <Link href="/apps" className='flex w-8 h-8 items-center justify-center gap-2 shrink-0'>
+              <LogoSite className='object-contain' />
+            </Link>
+            <div className='font-light text-divider-deep'>/</div>
+            <div className='flex items-center gap-0.5'>
+              <WorkspaceProvider>
+                <WorkplaceSelector />
+              </WorkspaceProvider>
+              {enableBilling && (
+                <div className='select-none'>
+                  <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}>
+                    <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
+                    <div className='system-xs-medium'>
+                      <span className='p-1'>
+                        {t('billing.upgradeBtn.encourageShort')}
+                      </span>
+                    </div>
+                  </PremiumBadge>
+                </div>
+              )}
+            </div>
+          </div>
+        }
+      </div >
       {isMobile && (
         <div className='flex'>
           <Link href="/apps" className='flex items-center mr-4'>
             <LogoSite />
           </Link>
-          {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />}
-        </div>
+          <div className='font-light text-divider-deep'>/</div>
+          {
+            enableBilling && (
+              <div className='select-none'>
+                <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}>
+                  <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' />
+                  <div className='system-xs-medium'>
+                    <span className='p-1'>
+                      {t('billing.upgradeBtn.encourageShort')}
+                    </span>
+                  </div>
+                </PremiumBadge>
+              </div>
+            )
+          }
+        </div >
       )}
-      {!isMobile && (
-        <div className='flex items-center'>
-          {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />}
-          {!isCurrentWorkspaceDatasetOperator && <AppNav />}
-          {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />}
-          {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />}
-        </div>
-      )}
-      <div className='flex items-center flex-shrink-0'>
+      {
+        !isMobile && (
+          <div className='flex items-center'>
+            {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />}
+            {!isCurrentWorkspaceDatasetOperator && <AppNav />}
+            {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />}
+            {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />}
+          </div>
+        )
+      }
+      <div className='flex items-center shrink-0'>
         <LicenseNav />
         <EnvNav />
-        {enableBilling && (
-          <div className='mr-3 select-none'>
-            <HeaderBillingBtn onClick={handlePlanClick} />
-          </div>
-        )}
-        <WorkspaceProvider>
-          <AccountDropdown isMobile={isMobile} />
-        </WorkspaceProvider>
-      </div>
-      {(isMobile && isShowNavMenu) && (
-        <div className='w-full flex flex-col p-2 gap-y-1'>
-          {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />}
-          {!isCurrentWorkspaceDatasetOperator && <AppNav />}
-          {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />}
-          {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />}
+        <div className='mr-3'>
+          <PluginsNav />
         </div>
-      )}
-    </div>
+        <AccountDropdown isMobile={isMobile} />
+      </div>
+      {
+        (isMobile && isShowNavMenu) && (
+          <div className='w-full flex flex-col p-2 gap-y-1'>
+            {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />}
+            {!isCurrentWorkspaceDatasetOperator && <AppNav />}
+            {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />}
+            {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />}
+          </div>
+        )
+      }
+    </div >
   )
 }
 export default Header
diff --git a/web/app/components/header/nav/index.tsx b/web/app/components/header/nav/index.tsx
index bfb4324320..de98593ddd 100644
--- a/web/app/components/header/nav/index.tsx
+++ b/web/app/components/header/nav/index.tsx
@@ -68,7 +68,7 @@ const Nav = ({
       {
         curNav && isActivated && (
           <>
-            <div className='font-light text-gray-300 '>/</div>
+            <div className='font-light text-divider-deep'>/</div>
             <NavSelector
               isApp={isApp}
               curNav={curNav}
diff --git a/web/app/components/header/plugins-nav/downloading-icon.module.css b/web/app/components/header/plugins-nav/downloading-icon.module.css
new file mode 100644
index 0000000000..c11a9f2f2c
--- /dev/null
+++ b/web/app/components/header/plugins-nav/downloading-icon.module.css
@@ -0,0 +1,44 @@
+@keyframes realistic-blink {
+  0% { fill: #37ff37; opacity: 0.4; }
+  15% { fill: #37ff37; opacity: 0.9; }
+  25% { fill: #37ff37; opacity: 0.3; }
+  38% { fill: #ff4444; opacity: 0.8; }
+  42% { fill: #ff4444; opacity: 0.3; }
+  58% { fill: #37ff37; opacity: 0.9; }
+  65% { fill: #37ff37; opacity: 0.4; }
+  79% { fill: #ff4444; opacity: 0.8; }
+  84% { fill: #ff4444; opacity: 0.3; }
+  92% { fill: #37ff37; opacity: 0.8; }
+  100% { fill: #37ff37; opacity: 0.4; }
+}
+
+@keyframes drop {
+  0% { 
+    transform: translateY(-4px); 
+    opacity: 0;
+  }
+  5% { 
+    transform: translateY(-4px); 
+    opacity: 1;
+  }
+  65% { 
+    transform: translateY(2px);
+    opacity: 1;
+  }
+  80% {
+    transform: translateY(2px);
+    opacity: 0;
+  }
+  100% { 
+    transform: translateY(2px);
+    opacity: 0;
+  }
+}
+
+#downloadingIconLight {
+  animation: realistic-blink 3s infinite ease-in-out;
+}
+
+#downloadingIconArrow {
+  animation: drop 1.2s cubic-bezier(0.4, 0, 1, 1) infinite;
+}
\ No newline at end of file
diff --git a/web/app/components/header/plugins-nav/downloading-icon.tsx b/web/app/components/header/plugins-nav/downloading-icon.tsx
new file mode 100644
index 0000000000..d3fc486445
--- /dev/null
+++ b/web/app/components/header/plugins-nav/downloading-icon.tsx
@@ -0,0 +1,17 @@
+import s from './downloading-icon.module.css'
+
+const DownloadingIcon = () => {
+  return (
+    <div className="inline-flex text-components-button-secondary-text">
+      <svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" className="install-icon">
+        <g id="install-line">
+          <path d="M8 2V4H5L4.999 14H18.999L19 4H16V2H20C20.5523 2 21 2.44772 21 3V21C21 21.5523 20.5523 22 20 22H4C3.44772 22 3 21.5523 3 21V3C3 2.44772 3.44772 2 4 2H8ZM18.999 16H4.999L5 20H19L18.999 16Z" fill="currentColor"/>
+          <path id={s.downloadingIconLight} d="M17 19V17H15V19H17Z"/>
+          <path id={s.downloadingIconArrow} d="M13 2V7H16L12 11L8 7H11V2H13Z" fill="currentColor"/>
+        </g>
+      </svg>
+    </div>
+  )
+}
+
+export default DownloadingIcon
diff --git a/web/app/components/header/plugins-nav/index.tsx b/web/app/components/header/plugins-nav/index.tsx
new file mode 100644
index 0000000000..ab742c98cf
--- /dev/null
+++ b/web/app/components/header/plugins-nav/index.tsx
@@ -0,0 +1,66 @@
+'use client'
+
+import { useTranslation } from 'react-i18next'
+import Link from 'next/link'
+import classNames from '@/utils/classnames'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+import { useSelectedLayoutSegment } from 'next/navigation'
+import DownloadingIcon from './downloading-icon'
+import { usePluginTaskStatus } from '@/app/components/plugins/plugin-page/plugin-tasks/hooks'
+import Indicator from '@/app/components/header/indicator'
+
+type PluginsNavProps = {
+  className?: string
+}
+
+const PluginsNav = ({
+  className,
+}: PluginsNavProps) => {
+  const { t } = useTranslation()
+  const selectedSegment = useSelectedLayoutSegment()
+  const activated = selectedSegment === 'plugins'
+  const {
+    isInstalling,
+    isInstallingWithError,
+    isFailed,
+  } = usePluginTaskStatus()
+
+  return (
+    <Link href="/plugins" className={classNames(
+      className, 'group', 'plugins-nav-button', // used for use-fold-anim-into.ts
+    )}>
+      <div
+        className={classNames(
+          'relative flex flex-row h-8 p-1.5 gap-0.5 border border-transparent items-center justify-center rounded-xl system-sm-medium-uppercase',
+          activated && 'border-components-main-nav-nav-button-border bg-components-main-nav-nav-button-bg-active shadow-md text-components-main-nav-nav-button-text',
+          !activated && 'text-text-tertiary hover:bg-state-base-hover hover:text-text-secondary',
+          (isInstallingWithError || isFailed) && !activated && 'border-components-panel-border-subtle',
+        )}
+      >
+        {
+          (isFailed || isInstallingWithError) && !activated && (
+            <Indicator
+              color='red'
+              className='absolute top-[-1px] left-[-1px]'
+            />
+          )
+        }
+        <div className='flex mr-0.5 w-5 h-5 justify-center items-center'>
+          {
+            (!(isInstalling || isInstallingWithError) || activated) && (
+              <Group className='w-4 h-4' />
+            )
+          }
+          {
+            (isInstalling || isInstallingWithError) && !activated && (
+              <DownloadingIcon />
+            )
+          }
+        </div>
+        <span className='px-0.5'>{t('common.menus.plugins')}</span>
+      </div>
+    </Link>
+  )
+}
+
+export default PluginsNav
diff --git a/web/app/components/i18n.tsx b/web/app/components/i18n.tsx
index 7fe1df23e0..f04f8d6cbe 100644
--- a/web/app/components/i18n.tsx
+++ b/web/app/components/i18n.tsx
@@ -2,7 +2,6 @@
 
 import type { FC } from 'react'
 import React, { useEffect } from 'react'
-import { changeLanguage } from '@/i18n/i18next-config'
 import I18NContext from '@/context/i18n'
 import type { Locale } from '@/i18n'
 import { setLocaleOnClient } from '@/i18n'
@@ -16,7 +15,7 @@ const I18n: FC<II18nProps> = ({
   children,
 }) => {
   useEffect(() => {
-    changeLanguage(locale)
+    setLocaleOnClient(locale, false)
   }, [locale])
 
   return (
diff --git a/web/app/components/plugins/base/key-value-item.tsx b/web/app/components/plugins/base/key-value-item.tsx
new file mode 100644
index 0000000000..9d6cda18d3
--- /dev/null
+++ b/web/app/components/plugins/base/key-value-item.tsx
@@ -0,0 +1,66 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useEffect, useState } from 'react'
+import copy from 'copy-to-clipboard'
+import {
+  RiClipboardLine,
+} from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import { ClipboardCheck } from '../../base/icons/src/vender/line/files'
+import Tooltip from '../../base/tooltip'
+import cn from '@/utils/classnames'
+import ActionButton from '@/app/components/base/action-button'
+
+type Props = {
+  label: string
+  labelWidthClassName?: string
+  value: string
+  maskedValue?: string
+  valueMaxWidthClassName?: string
+}
+
+const KeyValueItem: FC<Props> = ({
+  label,
+  labelWidthClassName = 'w-10',
+  value,
+  maskedValue,
+  valueMaxWidthClassName = 'max-w-[162px]',
+}) => {
+  const { t } = useTranslation()
+  const [isCopied, setIsCopied] = useState(false)
+  const handleCopy = useCallback(() => {
+    copy(value)
+    setIsCopied(true)
+  }, [value])
+
+  useEffect(() => {
+    if (isCopied) {
+      const timer = setTimeout(() => {
+        setIsCopied(false)
+      }, 2000)
+      return () => {
+        clearTimeout(timer)
+      }
+    }
+  }, [isCopied])
+
+  const CopyIcon = isCopied ? ClipboardCheck : RiClipboardLine
+
+  return (
+    <div className='flex items-center gap-1'>
+      <span className={cn('flex flex-col justify-center items-start text-text-tertiary system-xs-medium', labelWidthClassName)}>{label}</span>
+      <div className='flex justify-center items-center gap-0.5'>
+        <span className={cn(valueMaxWidthClassName, ' truncate system-xs-medium text-text-secondary')}>
+          {maskedValue || value}
+        </span>
+        <Tooltip popupContent={t(`common.operation.${isCopied ? 'copied' : 'copy'}`)} position='top'>
+          <ActionButton onClick={handleCopy}>
+            <CopyIcon className='shrink-0 w-3.5 h-3.5 text-text-tertiary' />
+          </ActionButton>
+        </Tooltip>
+      </div>
+    </div>
+  )
+}
+
+export default React.memo(KeyValueItem)
diff --git a/web/app/components/plugins/card/base/card-icon.tsx b/web/app/components/plugins/card/base/card-icon.tsx
new file mode 100644
index 0000000000..3587f3fd0d
--- /dev/null
+++ b/web/app/components/plugins/card/base/card-icon.tsx
@@ -0,0 +1,66 @@
+import { RiCheckLine, RiCloseLine } from '@remixicon/react'
+import AppIcon from '@/app/components/base/app-icon'
+import cn from '@/utils/classnames'
+
+const iconSizeMap = {
+  xs: 'w-4 h-4 text-base',
+  tiny: 'w-6 h-6 text-base',
+  small: 'w-8 h-8',
+  medium: 'w-9 h-9',
+  large: 'w-10 h-10',
+}
+const Icon = ({
+  className,
+  src,
+  installed = false,
+  installFailed = false,
+  size = 'large',
+}: {
+  className?: string
+  src: string | {
+    content: string
+    background: string
+  }
+  installed?: boolean
+  installFailed?: boolean
+  size?: 'xs' | 'tiny' | 'small' | 'medium' | 'large'
+}) => {
+  const iconClassName = 'flex justify-center items-center gap-2 absolute bottom-[-4px] right-[-4px] w-[18px] h-[18px] rounded-full border-2 border-components-panel-bg'
+  if (typeof src === 'object') {
+    return (
+      <div className={cn('relative', className)}>
+        <AppIcon
+          size={size}
+          iconType={'emoji'}
+          icon={src.content}
+          background={src.background}
+          className='rounded-md'
+        />
+      </div>
+    )
+  }
+
+  return (
+    <div
+      className={cn('shrink-0 relative rounded-md bg-center bg-no-repeat bg-contain', iconSizeMap[size], className)}
+      style={{
+        backgroundImage: `url(${src})`,
+      }}
+    >
+      {
+        installed
+        && <div className={cn(iconClassName, 'bg-state-success-solid')}>
+          <RiCheckLine className='w-3 h-3 text-text-primary-on-surface' />
+        </div>
+      }
+      {
+        installFailed
+        && <div className={cn(iconClassName, 'bg-state-destructive-solid')}>
+          <RiCloseLine className='w-3 h-3 text-text-primary-on-surface' />
+        </div>
+      }
+    </div>
+  )
+}
+
+export default Icon
diff --git a/web/app/components/plugins/card/base/corner-mark.tsx b/web/app/components/plugins/card/base/corner-mark.tsx
new file mode 100644
index 0000000000..cdb9eb5417
--- /dev/null
+++ b/web/app/components/plugins/card/base/corner-mark.tsx
@@ -0,0 +1,12 @@
+import { LeftCorner } from '../../../base/icons/src/vender/plugin'
+
+const CornerMark = ({ text }: { text: string }) => {
+  return (
+    <div className='absolute top-0 right-0 flex pl-[13px] '>
+      <LeftCorner className="text-background-section" />
+      <div className="h-5 leading-5 rounded-tr-xl pr-2 bg-background-section text-text-tertiary system-2xs-medium-uppercase">{text}</div>
+    </div>
+  )
+}
+
+export default CornerMark
diff --git a/web/app/components/plugins/card/base/description.tsx b/web/app/components/plugins/card/base/description.tsx
new file mode 100644
index 0000000000..247a55c628
--- /dev/null
+++ b/web/app/components/plugins/card/base/description.tsx
@@ -0,0 +1,31 @@
+import type { FC } from 'react'
+import React, { useMemo } from 'react'
+import cn from '@/utils/classnames'
+
+type Props = {
+  className?: string
+  text: string
+  descriptionLineRows: number
+}
+
+const Description: FC<Props> = ({
+  className,
+  text,
+  descriptionLineRows,
+}) => {
+  const lineClassName = useMemo(() => {
+    if (descriptionLineRows === 1)
+      return 'h-4 truncate'
+    else if (descriptionLineRows === 2)
+      return 'h-8 line-clamp-2'
+    else
+      return 'h-12 line-clamp-3'
+  }, [descriptionLineRows])
+  return (
+    <div className={cn('text-text-tertiary system-xs-regular', lineClassName, className)}>
+      {text}
+    </div>
+  )
+}
+
+export default Description
diff --git a/web/app/components/plugins/card/base/download-count.tsx b/web/app/components/plugins/card/base/download-count.tsx
new file mode 100644
index 0000000000..0c28e6970e
--- /dev/null
+++ b/web/app/components/plugins/card/base/download-count.tsx
@@ -0,0 +1,19 @@
+import { RiInstallLine } from '@remixicon/react'
+import { formatNumber } from '@/utils/format'
+
+type Props = {
+  downloadCount: number
+}
+
+const DownloadCount = ({
+  downloadCount,
+}: Props) => {
+  return (
+    <div className="flex items-center space-x-1 text-text-tertiary">
+      <RiInstallLine className="shrink-0 w-3 h-3" />
+      <div className="system-xs-regular">{formatNumber(downloadCount)}</div>
+    </div>
+  )
+}
+
+export default DownloadCount
diff --git a/web/app/components/plugins/card/base/org-info.tsx b/web/app/components/plugins/card/base/org-info.tsx
new file mode 100644
index 0000000000..3d549d6c5e
--- /dev/null
+++ b/web/app/components/plugins/card/base/org-info.tsx
@@ -0,0 +1,30 @@
+import cn from '@/utils/classnames'
+type Props = {
+  className?: string
+  orgName?: string
+  packageName: string
+  packageNameClassName?: string
+}
+
+const OrgInfo = ({
+  className,
+  orgName,
+  packageName,
+  packageNameClassName,
+}: Props) => {
+  return (
+    <div className={cn('flex items-center h-4 space-x-0.5', className)}>
+      {orgName && (
+        <>
+          <span className='shrink-0 text-text-tertiary system-xs-regular'>{orgName}</span>
+          <span className='shrink-0 text-text-quaternary system-xs-regular'>/</span>
+        </>
+      )}
+      <span className={cn('shrink-0 w-0 grow truncate text-text-tertiary system-xs-regular', packageNameClassName)}>
+        {packageName}
+      </span>
+    </div>
+  )
+}
+
+export default OrgInfo
diff --git a/web/app/components/plugins/card/base/placeholder.tsx b/web/app/components/plugins/card/base/placeholder.tsx
new file mode 100644
index 0000000000..62f373f922
--- /dev/null
+++ b/web/app/components/plugins/card/base/placeholder.tsx
@@ -0,0 +1,51 @@
+import { Group } from '../../../base/icons/src/vender/other'
+import Title from './title'
+import { SkeletonContainer, SkeletonPoint, SkeletonRectangle, SkeletonRow } from '@/app/components/base/skeleton'
+import cn from '@/utils/classnames'
+
+type Props = {
+  wrapClassName: string
+  loadingFileName?: string
+}
+
+export const LoadingPlaceholder = ({ className }: { className?: string }) => (
+  <div className={cn('h-2 rounded-sm opacity-20 bg-text-quaternary', className)} />
+)
+
+const Placeholder = ({
+  wrapClassName,
+  loadingFileName,
+}: Props) => {
+  return (
+    <div className={wrapClassName}>
+      <SkeletonRow>
+        <div
+          className='flex w-10 h-10 p-1 justify-center items-center gap-2 rounded-[10px]
+              border-[0.5px] border-components-panel-border bg-background-default backdrop-blur-sm'>
+          <div className='flex w-5 h-5 justify-center items-center'>
+            <Group className='text-text-tertiary' />
+          </div>
+        </div>
+        <div className="grow">
+          <SkeletonContainer>
+            <div className="flex items-center h-5">
+              {loadingFileName ? (
+                <Title title={loadingFileName} />
+              ) : (
+                <SkeletonRectangle className="w-[260px]" />
+              )}
+            </div>
+            <SkeletonRow className="h-4">
+              <SkeletonRectangle className="w-[41px]" />
+              <SkeletonPoint />
+              <SkeletonRectangle className="w-[180px]" />
+            </SkeletonRow>
+          </SkeletonContainer>
+        </div>
+      </SkeletonRow>
+      <SkeletonRectangle className="mt-3 w-[420px]" />
+    </div>
+  )
+}
+
+export default Placeholder
diff --git a/web/app/components/plugins/card/base/title.tsx b/web/app/components/plugins/card/base/title.tsx
new file mode 100644
index 0000000000..383e7b31c1
--- /dev/null
+++ b/web/app/components/plugins/card/base/title.tsx
@@ -0,0 +1,13 @@
+const Title = ({
+  title,
+}: {
+  title: string
+}) => {
+  return (
+    <div className='truncate text-text-secondary system-md-semibold'>
+      {title}
+    </div>
+  )
+}
+
+export default Title
diff --git a/web/app/components/plugins/card/card-more-info.tsx b/web/app/components/plugins/card/card-more-info.tsx
new file mode 100644
index 0000000000..b7ba8c1a53
--- /dev/null
+++ b/web/app/components/plugins/card/card-more-info.tsx
@@ -0,0 +1,36 @@
+import DownloadCount from './base/download-count'
+
+type Props = {
+  downloadCount?: number
+  tags: string[]
+}
+
+const CardMoreInfo = ({
+  downloadCount,
+  tags,
+}: Props) => {
+  return (
+    <div className="flex items-center h-5">
+      {downloadCount !== undefined && <DownloadCount downloadCount={downloadCount} />}
+      {downloadCount !== undefined && tags && tags.length > 0 && <div className="mx-2 text-text-quaternary system-xs-regular">·</div>}
+      {tags && tags.length > 0 && (
+        <>
+          <div className="flex flex-wrap space-x-2 h-4 overflow-hidden">
+            {tags.map(tag => (
+              <div
+                key={tag}
+                className="flex space-x-1 system-xs-regular max-w-[120px] overflow-hidden"
+                title={`# ${tag}`}
+              >
+                <span className="text-text-quaternary">#</span>
+                <span className="truncate text-text-tertiary">{tag}</span>
+              </div>
+            ))}
+          </div>
+        </>
+      )}
+    </div>
+  )
+}
+
+export default CardMoreInfo
diff --git a/web/app/components/plugins/card/index.tsx b/web/app/components/plugins/card/index.tsx
new file mode 100644
index 0000000000..871f5cb62f
--- /dev/null
+++ b/web/app/components/plugins/card/index.tsx
@@ -0,0 +1,94 @@
+'use client'
+import React from 'react'
+import { RiVerifiedBadgeLine } from '@remixicon/react'
+import type { Plugin } from '../types'
+import Icon from '../card/base/card-icon'
+import CornerMark from './base/corner-mark'
+import Title from './base/title'
+import OrgInfo from './base/org-info'
+import Description from './base/description'
+import Placeholder from './base/placeholder'
+import cn from '@/utils/classnames'
+import { useGetLanguage } from '@/context/i18n'
+import { getLanguage } from '@/i18n/language'
+import { useSingleCategories } from '../hooks'
+import { renderI18nObject } from '@/hooks/use-i18n'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+export type Props = {
+  className?: string
+  payload: Plugin
+  titleLeft?: React.ReactNode
+  installed?: boolean
+  installFailed?: boolean
+  hideCornerMark?: boolean
+  descriptionLineRows?: number
+  footer?: React.ReactNode
+  isLoading?: boolean
+  loadingFileName?: string
+  locale?: string
+}
+
+const Card = ({
+  className,
+  payload,
+  titleLeft,
+  installed,
+  installFailed,
+  hideCornerMark,
+  descriptionLineRows = 2,
+  footer,
+  isLoading = false,
+  loadingFileName,
+  locale: localeFromProps,
+}: Props) => {
+  const defaultLocale = useGetLanguage()
+  const locale = localeFromProps ? getLanguage(localeFromProps) : defaultLocale
+  const { t } = useMixedTranslation(localeFromProps)
+  const { categoriesMap } = useSingleCategories(t)
+  const { category, type, name, org, label, brief, icon, verified } = payload
+  const isBundle = !['plugin', 'model', 'tool', 'extension', 'agent-strategy'].includes(type)
+  const cornerMark = isBundle ? categoriesMap.bundle?.label : categoriesMap[category]?.label
+  const getLocalizedText = (obj: Record<string, string> | undefined) =>
+    obj ? renderI18nObject(obj, locale) : ''
+
+  const wrapClassName = cn('relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className)
+  if (isLoading) {
+    return (
+      <Placeholder
+        wrapClassName={wrapClassName}
+        loadingFileName={loadingFileName!}
+      />
+    )
+  }
+
+  return (
+    <div className={wrapClassName}>
+      {!hideCornerMark && <CornerMark text={cornerMark} />}
+      {/* Header */}
+      <div className="flex">
+        <Icon src={icon} installed={installed} installFailed={installFailed} />
+        <div className="ml-3 w-0 grow">
+          <div className="flex items-center h-5">
+            <Title title={getLocalizedText(label)} />
+            {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />}
+            {titleLeft} {/* This can be version badge */}
+          </div>
+          <OrgInfo
+            className="mt-0.5"
+            orgName={org}
+            packageName={name}
+          />
+        </div>
+      </div>
+      <Description
+        className="mt-3"
+        text={getLocalizedText(brief)}
+        descriptionLineRows={descriptionLineRows}
+      />
+      {footer && <div>{footer}</div>}
+    </div>
+  )
+}
+
+export default React.memo(Card)
diff --git a/web/app/components/plugins/constants.ts b/web/app/components/plugins/constants.ts
new file mode 100644
index 0000000000..02439be510
--- /dev/null
+++ b/web/app/components/plugins/constants.ts
@@ -0,0 +1,27 @@
+export const tagKeys = [
+  'agent',
+  'search',
+  'image',
+  'videos',
+  'weather',
+  'finance',
+  'design',
+  'travel',
+  'social',
+  'news',
+  'medical',
+  'productivity',
+  'education',
+  'business',
+  'entertainment',
+  'utilities',
+  'other',
+]
+
+export const categoryKeys = [
+  'model',
+  'tool',
+  'agent-strategy',
+  'extension',
+  'bundle',
+]
diff --git a/web/app/components/plugins/hooks.ts b/web/app/components/plugins/hooks.ts
new file mode 100644
index 0000000000..f4b81d98c1
--- /dev/null
+++ b/web/app/components/plugins/hooks.ts
@@ -0,0 +1,94 @@
+import { useTranslation } from 'react-i18next'
+import type { TFunction } from 'i18next'
+import {
+  categoryKeys,
+  tagKeys,
+} from './constants'
+
+type Tag = {
+  name: string
+  label: string
+}
+
+export const useTags = (translateFromOut?: TFunction) => {
+  const { t: translation } = useTranslation()
+  const t = translateFromOut || translation
+
+  const tags = tagKeys.map((tag) => {
+    return {
+      name: tag,
+      label: t(`pluginTags.tags.${tag}`),
+    }
+  })
+
+  const tagsMap = tags.reduce((acc, tag) => {
+    acc[tag.name] = tag
+    return acc
+  }, {} as Record<string, Tag>)
+
+  return {
+    tags,
+    tagsMap,
+  }
+}
+
+type Category = {
+  name: string
+  label: string
+}
+
+export const useCategories = (translateFromOut?: TFunction) => {
+  const { t: translation } = useTranslation()
+  const t = translateFromOut || translation
+
+  const categories = categoryKeys.map((category) => {
+    if (category === 'agent-strategy') {
+      return {
+        name: 'agent-strategy',
+        label: t('plugin.category.agents'),
+      }
+    }
+    return {
+      name: category,
+      label: t(`plugin.category.${category}s`),
+    }
+  })
+
+  const categoriesMap = categories.reduce((acc, category) => {
+    acc[category.name] = category
+    return acc
+  }, {} as Record<string, Category>)
+
+  return {
+    categories,
+    categoriesMap,
+  }
+}
+
+export const useSingleCategories = (translateFromOut?: TFunction) => {
+  const { t: translation } = useTranslation()
+  const t = translateFromOut || translation
+
+  const categories = categoryKeys.map((category) => {
+    if (category === 'agent-strategy') {
+      return {
+        name: 'agent-strategy',
+        label: t('plugin.categorySingle.agent'),
+      }
+    }
+    return {
+      name: category,
+      label: t(`plugin.categorySingle.${category}`),
+    }
+  })
+
+  const categoriesMap = categories.reduce((acc, category) => {
+    acc[category.name] = category
+    return acc
+  }, {} as Record<string, Category>)
+
+  return {
+    categories,
+    categoriesMap,
+  }
+}
diff --git a/web/app/components/plugins/install-plugin/base/check-task-status.ts b/web/app/components/plugins/install-plugin/base/check-task-status.ts
new file mode 100644
index 0000000000..320f50d70a
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/check-task-status.ts
@@ -0,0 +1,63 @@
+import { checkTaskStatus as fetchCheckTaskStatus } from '@/service/plugins'
+import type { PluginStatus } from '../../types'
+import { TaskStatus } from '../../types'
+import { sleep } from '@/utils'
+
+const INTERVAL = 10 * 1000 // 10 seconds
+
+type Params = {
+  taskId: string
+  pluginUniqueIdentifier: string
+}
+
+function checkTaskStatus() {
+  let nextStatus = TaskStatus.running
+  let isStop = false
+
+  const doCheckStatus = async ({
+    taskId,
+    pluginUniqueIdentifier,
+  }: Params) => {
+    if (isStop) {
+      return {
+        status: TaskStatus.success,
+      }
+    }
+    const res = await fetchCheckTaskStatus(taskId)
+    const { plugins } = res.task
+    const plugin = plugins.find((p: PluginStatus) => p.plugin_unique_identifier === pluginUniqueIdentifier)
+    if (!plugin) {
+      nextStatus = TaskStatus.failed
+      return {
+        status: TaskStatus.failed,
+        error: 'Plugin package not found',
+      }
+    }
+    nextStatus = plugin.status
+    if (nextStatus === TaskStatus.running) {
+      await sleep(INTERVAL)
+      return await doCheckStatus({
+        taskId,
+        pluginUniqueIdentifier,
+      })
+    }
+    if (nextStatus === TaskStatus.failed) {
+      return {
+        status: TaskStatus.failed,
+        error: plugin.message,
+      }
+    }
+    return ({
+      status: TaskStatus.success,
+    })
+  }
+
+  return {
+    check: doCheckStatus,
+    stop: () => {
+      isStop = true
+    },
+  }
+}
+
+export default checkTaskStatus
diff --git a/web/app/components/plugins/install-plugin/base/installed.tsx b/web/app/components/plugins/install-plugin/base/installed.tsx
new file mode 100644
index 0000000000..efe8d4af76
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/installed.tsx
@@ -0,0 +1,60 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import Card from '../../card'
+import Button from '@/app/components/base/button'
+import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../../types'
+import { pluginManifestInMarketToPluginProps, pluginManifestToCardPluginProps } from '../utils'
+import Badge, { BadgeState } from '@/app/components/base/badge/index'
+
+type Props = {
+  payload?: Plugin | PluginDeclaration | PluginManifestInMarket | null
+  isMarketPayload?: boolean
+  isFailed: boolean
+  errMsg?: string | null
+  onCancel: () => void
+}
+
+const Installed: FC<Props> = ({
+  payload,
+  isMarketPayload,
+  isFailed,
+  errMsg,
+  onCancel,
+}) => {
+  const { t } = useTranslation()
+
+  const handleClose = () => {
+    onCancel()
+  }
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        <p className='text-text-secondary system-md-regular'>{(isFailed && errMsg) ? errMsg : t(`plugin.installModal.${isFailed ? 'installFailedDesc' : 'installedSuccessfullyDesc'}`)}</p>
+        {payload && (
+          <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+            <Card
+              className='w-full'
+              payload={isMarketPayload ? pluginManifestInMarketToPluginProps(payload as PluginManifestInMarket) : pluginManifestToCardPluginProps(payload as PluginDeclaration)}
+              installed={!isFailed}
+              installFailed={isFailed}
+              titleLeft={<Badge className='mx-1' size="s" state={BadgeState.Default}>{(payload as PluginDeclaration).version || (payload as PluginManifestInMarket).latest_version}</Badge>}
+            />
+          </div>
+        )}
+      </div>
+      {/* Action Buttons */}
+      <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+        <Button
+          variant='primary'
+          className='min-w-[72px]'
+          onClick={handleClose}
+        >
+          {t('common.operation.close')}
+        </Button>
+      </div>
+    </>
+  )
+}
+export default React.memo(Installed)
diff --git a/web/app/components/plugins/install-plugin/base/loading-error.tsx b/web/app/components/plugins/install-plugin/base/loading-error.tsx
new file mode 100644
index 0000000000..eb698bb573
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/loading-error.tsx
@@ -0,0 +1,45 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { Group } from '../../../base/icons/src/vender/other'
+import { LoadingPlaceholder } from '@/app/components/plugins/card/base/placeholder'
+import Checkbox from '@/app/components/base/checkbox'
+import { RiCloseLine } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+
+const LoadingError: FC = () => {
+  const { t } = useTranslation()
+  return (
+    <div className='flex items-center space-x-2'>
+      <Checkbox
+        className='shrink-0'
+        checked={false}
+        disabled
+      />
+      <div className='grow relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs'>
+        <div className="flex">
+          <div
+            className='relative flex w-10 h-10 p-1 justify-center items-center gap-2 rounded-[10px]
+              border-[0.5px] border-state-destructive-border bg-state-destructive-hover backdrop-blur-sm'>
+            <div className='flex w-5 h-5 justify-center items-center'>
+              <Group className='text-text-quaternary' />
+            </div>
+            <div className='absolute bottom-[-4px] right-[-4px] rounded-full border-[2px] border-components-panel-bg bg-state-destructive-solid'>
+              <RiCloseLine className='w-3 h-3 text-text-primary-on-surface' />
+            </div>
+          </div>
+          <div className="ml-3 grow">
+            <div className="flex items-center h-5 system-md-semibold text-text-destructive">
+              {t('plugin.installModal.pluginLoadError')}
+            </div>
+            <div className='mt-0.5 system-xs-regular text-text-tertiary'>
+              {t('plugin.installModal.pluginLoadErrorDesc')}
+            </div>
+          </div>
+        </div>
+        <LoadingPlaceholder className="mt-3 w-[420px]" />
+      </div>
+    </div>
+  )
+}
+export default React.memo(LoadingError)
diff --git a/web/app/components/plugins/install-plugin/base/loading.tsx b/web/app/components/plugins/install-plugin/base/loading.tsx
new file mode 100644
index 0000000000..52cccc2cd0
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/loading.tsx
@@ -0,0 +1,23 @@
+'use client'
+import React from 'react'
+import Placeholder from '../../card/base/placeholder'
+import Checkbox from '@/app/components/base/checkbox'
+
+const Loading = () => {
+  return (
+    <div className='flex items-center space-x-2'>
+      <Checkbox
+        className='shrink-0'
+        checked={false}
+        disabled
+      />
+      <div className='grow relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs'>
+        <Placeholder
+          wrapClassName='w-full'
+        />
+      </div>
+    </div>
+  )
+}
+
+export default React.memo(Loading)
diff --git a/web/app/components/plugins/install-plugin/base/use-get-icon.ts b/web/app/components/plugins/install-plugin/base/use-get-icon.ts
new file mode 100644
index 0000000000..bb46f27f53
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/use-get-icon.ts
@@ -0,0 +1,16 @@
+import { useCallback } from 'react'
+import { apiPrefix } from '@/config'
+import { useSelector } from '@/context/app-context'
+
+const useGetIcon = () => {
+  const currentWorkspace = useSelector(s => s.currentWorkspace)
+  const getIconUrl = useCallback((fileName: string) => {
+    return `${apiPrefix}/workspaces/current/plugin/icon?tenant_id=${currentWorkspace.id}&filename=${fileName}`
+  }, [currentWorkspace.id])
+
+  return {
+    getIconUrl,
+  }
+}
+
+export default useGetIcon
diff --git a/web/app/components/plugins/install-plugin/base/version.tsx b/web/app/components/plugins/install-plugin/base/version.tsx
new file mode 100644
index 0000000000..67bbc8ed2e
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/base/version.tsx
@@ -0,0 +1,34 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import Badge, { BadgeState } from '@/app/components/base/badge/index'
+import type { VersionProps } from '../../types'
+
+const Version: FC<VersionProps> = ({
+  hasInstalled,
+  installedVersion,
+  toInstallVersion,
+}) => {
+  return (
+    <>
+      {
+        !hasInstalled
+          ? (
+            <Badge className='mx-1' size="s" state={BadgeState.Default}>{toInstallVersion}</Badge>
+          )
+          : (
+            <>
+              <Badge className='mx-1' size="s" state={BadgeState.Warning}>
+                {`${installedVersion} -> ${toInstallVersion}`}
+              </Badge>
+              {/* <div className='flex px-0.5 justify-center items-center gap-0.5'>
+              <div className='text-text-warning system-xs-medium'>Used in 3 apps</div>
+              <RiInformation2Line className='w-4 h-4 text-text-tertiary' />
+            </div> */}
+            </>
+          )
+      }
+    </>
+  )
+}
+export default React.memo(Version)
diff --git a/web/app/components/plugins/install-plugin/hooks.ts b/web/app/components/plugins/install-plugin/hooks.ts
new file mode 100644
index 0000000000..5da4c75c51
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/hooks.ts
@@ -0,0 +1,107 @@
+import Toast, { type IToastProps } from '@/app/components/base/toast'
+import { uploadGitHub } from '@/service/plugins'
+import { compareVersion, getLatestVersion } from '@/utils/semver'
+import type { GitHubRepoReleaseResponse } from '../types'
+import { GITHUB_ACCESS_TOKEN } from '@/config'
+
+const formatReleases = (releases: any) => {
+  return releases.map((release: any) => ({
+    tag_name: release.tag_name,
+    assets: release.assets.map((asset: any) => ({
+      browser_download_url: asset.browser_download_url,
+      name: asset.name,
+    })),
+  }))
+}
+
+export const useGitHubReleases = () => {
+  const fetchReleases = async (owner: string, repo: string) => {
+    try {
+      if (!GITHUB_ACCESS_TOKEN) {
+        // Fetch releases without authentication from client
+        const res = await fetch(`https://api.github.com/repos/${owner}/${repo}/releases`)
+        if (!res.ok) throw new Error('Failed to fetch repository releases')
+        const data = await res.json()
+        return formatReleases(data)
+      }
+      else {
+        // Fetch releases with authentication from server
+        const res = await fetch(`/repos/${owner}/${repo}/releases`)
+        const bodyJson = await res.json()
+        if (bodyJson.status !== 200) throw new Error(bodyJson.data.message)
+        return formatReleases(bodyJson.data)
+      }
+    }
+    catch (error) {
+      if (error instanceof Error) {
+        Toast.notify({
+          type: 'error',
+          message: error.message,
+        })
+      }
+      else {
+        Toast.notify({
+          type: 'error',
+          message: 'Failed to fetch repository releases',
+        })
+      }
+      return []
+    }
+  }
+
+  const checkForUpdates = (fetchedReleases: GitHubRepoReleaseResponse[], currentVersion: string) => {
+    let needUpdate = false
+    const toastProps: IToastProps = {
+      type: 'info',
+      message: 'No new version available',
+    }
+    if (fetchedReleases.length === 0) {
+      toastProps.type = 'error'
+      toastProps.message = 'Input releases is empty'
+      return { needUpdate, toastProps }
+    }
+    const versions = fetchedReleases.map(release => release.tag_name)
+    const latestVersion = getLatestVersion(versions)
+    try {
+      needUpdate = compareVersion(latestVersion, currentVersion) === 1
+      if (needUpdate)
+        toastProps.message = `New version available: ${latestVersion}`
+    }
+    catch {
+      needUpdate = false
+      toastProps.type = 'error'
+      toastProps.message = 'Fail to compare versions, please check the version format'
+    }
+    return { needUpdate, toastProps }
+  }
+
+  return { fetchReleases, checkForUpdates }
+}
+
+export const useGitHubUpload = () => {
+  const handleUpload = async (
+    repoUrl: string,
+    selectedVersion: string,
+    selectedPackage: string,
+    onSuccess?: (GitHubPackage: { manifest: any; unique_identifier: string }) => void,
+  ) => {
+    try {
+      const response = await uploadGitHub(repoUrl, selectedVersion, selectedPackage)
+      const GitHubPackage = {
+        manifest: response.manifest,
+        unique_identifier: response.unique_identifier,
+      }
+      if (onSuccess) onSuccess(GitHubPackage)
+      return GitHubPackage
+    }
+    catch (error) {
+      Toast.notify({
+        type: 'error',
+        message: 'Error uploading package',
+      })
+      throw error
+    }
+  }
+
+  return { handleUpload }
+}
diff --git a/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx b/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx
new file mode 100644
index 0000000000..e9d83c8c87
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx
@@ -0,0 +1,33 @@
+import { useCheckInstalled as useDoCheckInstalled } from '@/service/use-plugins'
+
+import { useMemo } from 'react'
+import type { VersionInfo } from '../../types'
+type Props = {
+  pluginIds: string[],
+  enabled: boolean
+}
+const useCheckInstalled = (props: Props) => {
+  const { data, isLoading, error } = useDoCheckInstalled(props)
+
+  const installedInfo = useMemo(() => {
+    if (!data)
+      return undefined
+
+    const res: Record<string, VersionInfo> = {}
+    data?.plugins.forEach((plugin) => {
+      res[plugin.plugin_id] = {
+        installedId: plugin.id,
+        installedVersion: plugin.declaration.version,
+        uniqueIdentifier: plugin.plugin_unique_identifier,
+      }
+    })
+    return res
+  }, [data])
+  return {
+    installedInfo,
+    isLoading,
+    error,
+  }
+}
+
+export default useCheckInstalled
diff --git a/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts b/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts
new file mode 100644
index 0000000000..4b8d5e8293
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts
@@ -0,0 +1,57 @@
+import { sleep } from '@/utils'
+
+const animTime = 750
+const modalClassName = 'install-modal'
+const COUNT_DOWN_TIME = 15000 // 15s
+
+function getElemCenter(elem: HTMLElement) {
+  const rect = elem.getBoundingClientRect()
+  return {
+    x: rect.left + rect.width / 2 + window.scrollX,
+    y: rect.top + rect.height / 2 + window.scrollY,
+  }
+}
+
+const useFoldAnimInto = (onClose: () => void) => {
+  let countDownRunId: number
+  const clearCountDown = () => {
+    clearTimeout(countDownRunId)
+  }
+  // modalElem fold into plugin install task btn
+  const foldIntoAnim = async () => {
+    clearCountDown()
+    const modalElem = document.querySelector(`.${modalClassName}`) as HTMLElement
+    const pluginTaskTriggerElem = document.getElementById('plugin-task-trigger') || document.querySelector('.plugins-nav-button')
+
+    if (!modalElem || !pluginTaskTriggerElem) {
+      onClose()
+      return
+    }
+
+    const modelCenter = getElemCenter(modalElem)
+    const modalElemRect = modalElem.getBoundingClientRect()
+    const pluginTaskTriggerCenter = getElemCenter(pluginTaskTriggerElem)
+    const xDiff = pluginTaskTriggerCenter.x - modelCenter.x
+    const yDiff = pluginTaskTriggerCenter.y - modelCenter.y
+    const scale = 1 / Math.max(modalElemRect.width, modalElemRect.height)
+    modalElem.style.transition = `all cubic-bezier(0.4, 0, 0.2, 1) ${animTime}ms`
+    modalElem.style.transform = `translate(${xDiff}px, ${yDiff}px) scale(${scale})`
+    await sleep(animTime)
+    onClose()
+  }
+
+  const countDownFoldIntoAnim = async () => {
+    countDownRunId = window.setTimeout(() => {
+      foldIntoAnim()
+    }, COUNT_DOWN_TIME)
+  }
+
+  return {
+    modalClassName,
+    foldIntoAnim,
+    clearCountDown,
+    countDownFoldIntoAnim,
+  }
+}
+
+export default useFoldAnimInto
diff --git a/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts b/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts
new file mode 100644
index 0000000000..e5d2d1883a
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts
@@ -0,0 +1,40 @@
+import { useCallback, useState } from 'react'
+import useFoldAnimInto from './use-fold-anim-into'
+
+const useHideLogic = (onClose: () => void) => {
+  const {
+    modalClassName,
+    foldIntoAnim: doFoldAnimInto,
+    clearCountDown,
+    countDownFoldIntoAnim,
+  } = useFoldAnimInto(onClose)
+
+  const [isInstalling, doSetIsInstalling] = useState(false)
+  const setIsInstalling = useCallback((isInstalling: boolean) => {
+    if (!isInstalling)
+      clearCountDown()
+    doSetIsInstalling(isInstalling)
+  }, [clearCountDown])
+
+  const foldAnimInto = useCallback(() => {
+    if (isInstalling) {
+      doFoldAnimInto()
+      return
+    }
+    onClose()
+  }, [doFoldAnimInto, isInstalling, onClose])
+
+  const handleStartToInstall = useCallback(() => {
+    setIsInstalling(true)
+    countDownFoldIntoAnim()
+  }, [countDownFoldIntoAnim, setIsInstalling])
+
+  return {
+    modalClassName,
+    foldAnimInto,
+    setIsInstalling,
+    handleStartToInstall,
+  }
+}
+
+export default useHideLogic
diff --git a/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx b/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx
new file mode 100644
index 0000000000..bb6c1baedb
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx
@@ -0,0 +1,50 @@
+import { useModelList } from '@/app/components/header/account-setting/model-provider-page/hooks'
+import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { useProviderContext } from '@/context/provider-context'
+import { useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import { useInvalidateAllBuiltInTools, useInvalidateAllToolProviders } from '@/service/use-tools'
+import { useInvalidateStrategyProviders } from '@/service/use-strategy'
+import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../../types'
+import { PluginType } from '../../types'
+
+const useRefreshPluginList = () => {
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+  const { mutate: refetchLLMModelList } = useModelList(ModelTypeEnum.textGeneration)
+  const { mutate: refetchEmbeddingModelList } = useModelList(ModelTypeEnum.textEmbedding)
+  const { mutate: refetchRerankModelList } = useModelList(ModelTypeEnum.rerank)
+  const { refreshModelProviders } = useProviderContext()
+
+  const invalidateAllToolProviders = useInvalidateAllToolProviders()
+  const invalidateAllBuiltInTools = useInvalidateAllBuiltInTools()
+
+  const invalidateStrategyProviders = useInvalidateStrategyProviders()
+  return {
+    refreshPluginList: (manifest?: PluginManifestInMarket | Plugin | PluginDeclaration | null, refreshAllType?: boolean) => {
+      // installed list
+      invalidateInstalledPluginList()
+
+      if (!manifest) return
+
+      // tool page, tool select
+      if (PluginType.tool.includes(manifest.category) || refreshAllType) {
+        invalidateAllToolProviders()
+        invalidateAllBuiltInTools()
+        // TODO: update suggested tools. It's a function in hook useMarketplacePlugins,handleUpdatePlugins
+      }
+
+      // model select
+      if (PluginType.model.includes(manifest.category) || refreshAllType) {
+        refreshModelProviders()
+        refetchLLMModelList()
+        refetchEmbeddingModelList()
+        refetchRerankModelList()
+      }
+
+      // agent select
+      if (PluginType.agent.includes(manifest.category) || refreshAllType)
+        invalidateStrategyProviders()
+    },
+  }
+}
+
+export default useRefreshPluginList
diff --git a/web/app/components/plugins/install-plugin/install-bundle/index.tsx b/web/app/components/plugins/install-plugin/install-bundle/index.tsx
new file mode 100644
index 0000000000..84750d65ad
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/index.tsx
@@ -0,0 +1,75 @@
+'use client'
+import type { FC } from 'react'
+import Modal from '@/app/components/base/modal'
+import React, { useCallback, useState } from 'react'
+import { InstallStep } from '../../types'
+import type { Dependency } from '../../types'
+import ReadyToInstall from './ready-to-install'
+import { useTranslation } from 'react-i18next'
+import useHideLogic from '../hooks/use-hide-logic'
+import cn from '@/utils/classnames'
+
+const i18nPrefix = 'plugin.installModal'
+
+export enum InstallType {
+  fromLocal = 'fromLocal',
+  fromMarketplace = 'fromMarketplace',
+  fromDSL = 'fromDSL',
+}
+
+type Props = {
+  installType?: InstallType
+  fromDSLPayload: Dependency[]
+  // plugins?: PluginDeclaration[]
+  onClose: () => void
+}
+
+const InstallBundle: FC<Props> = ({
+  installType = InstallType.fromMarketplace,
+  fromDSLPayload,
+  onClose,
+}) => {
+  const { t } = useTranslation()
+  const [step, setStep] = useState<InstallStep>(installType === InstallType.fromMarketplace ? InstallStep.readyToInstall : InstallStep.uploading)
+
+  const {
+    modalClassName,
+    foldAnimInto,
+    setIsInstalling,
+    handleStartToInstall,
+  } = useHideLogic(onClose)
+
+  const getTitle = useCallback(() => {
+    if (step === InstallStep.uploadFailed)
+      return t(`${i18nPrefix}.uploadFailed`)
+    if (step === InstallStep.installed)
+      return t(`${i18nPrefix}.installComplete`)
+
+    return t(`${i18nPrefix}.installPlugin`)
+  }, [step, t])
+
+  return (
+    <Modal
+      isShow={true}
+      onClose={foldAnimInto}
+      className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')}
+      closable
+    >
+      <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'>
+        <div className='self-stretch text-text-primary title-2xl-semi-bold'>
+          {getTitle()}
+        </div>
+      </div>
+      <ReadyToInstall
+        step={step}
+        onStepChange={setStep}
+        onStartToInstall={handleStartToInstall}
+        setIsInstalling={setIsInstalling}
+        allPlugins={fromDSLPayload}
+        onClose={onClose}
+      />
+    </Modal>
+  )
+}
+
+export default React.memo(InstallBundle)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx
new file mode 100644
index 0000000000..96abaa2e1c
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx
@@ -0,0 +1,62 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect } from 'react'
+import type { GitHubItemAndMarketPlaceDependency, Plugin } from '../../../types'
+import { pluginManifestToCardPluginProps } from '../../utils'
+import { useUploadGitHub } from '@/service/use-plugins'
+import Loading from '../../base/loading'
+import LoadedItem from './loaded-item'
+import type { VersionProps } from '@/app/components/plugins/types'
+
+type Props = {
+  checked: boolean
+  onCheckedChange: (plugin: Plugin) => void
+  dependency: GitHubItemAndMarketPlaceDependency
+  versionInfo: VersionProps
+  onFetchedPayload: (payload: Plugin) => void
+  onFetchError: () => void
+}
+
+const Item: FC<Props> = ({
+  checked,
+  onCheckedChange,
+  dependency,
+  versionInfo,
+  onFetchedPayload,
+  onFetchError,
+}) => {
+  const info = dependency.value
+  const { data, error } = useUploadGitHub({
+    repo: info.repo!,
+    version: info.release! || info.version!,
+    package: info.packages! || info.package!,
+  })
+  const [payload, setPayload] = React.useState<Plugin | null>(null)
+  useEffect(() => {
+    if (data) {
+      const payload = {
+        ...pluginManifestToCardPluginProps(data.manifest),
+        plugin_id: data.unique_identifier,
+      }
+      onFetchedPayload(payload)
+      setPayload(payload)
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [data])
+  useEffect(() => {
+    if (error)
+      onFetchError()
+
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [error])
+  if (!payload) return <Loading />
+  return (
+    <LoadedItem
+      payload={payload}
+      versionInfo={versionInfo}
+      checked={checked}
+      onCheckedChange={onCheckedChange}
+    />
+  )
+}
+export default React.memo(Item)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx
new file mode 100644
index 0000000000..5eb4c94abe
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx
@@ -0,0 +1,51 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { Plugin } from '../../../types'
+import Card from '../../../card'
+import Checkbox from '@/app/components/base/checkbox'
+import useGetIcon from '../../base/use-get-icon'
+import { MARKETPLACE_API_PREFIX } from '@/config'
+import Version from '../../base/version'
+import type { VersionProps } from '../../../types'
+
+type Props = {
+  checked: boolean
+  onCheckedChange: (plugin: Plugin) => void
+  payload: Plugin
+  isFromMarketPlace?: boolean
+  versionInfo: VersionProps
+}
+
+const LoadedItem: FC<Props> = ({
+  checked,
+  onCheckedChange,
+  payload,
+  isFromMarketPlace,
+  versionInfo: particleVersionInfo,
+}) => {
+  const { getIconUrl } = useGetIcon()
+  const versionInfo = {
+    ...particleVersionInfo,
+    toInstallVersion: payload.version,
+  }
+  return (
+    <div className='flex items-center space-x-2'>
+      <Checkbox
+        className='shrink-0'
+        checked={checked}
+        onCheck={() => onCheckedChange(payload)}
+      />
+      <Card
+        className='grow'
+        payload={{
+          ...payload,
+          icon: isFromMarketPlace ? `${MARKETPLACE_API_PREFIX}/plugins/${payload.org}/${payload.name}/icon` : getIconUrl(payload.icon),
+        }}
+        titleLeft={payload.version ? <Version {...versionInfo} /> : null}
+      />
+    </div>
+  )
+}
+
+export default React.memo(LoadedItem)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx
new file mode 100644
index 0000000000..3389bdb0ad
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx
@@ -0,0 +1,36 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { Plugin } from '../../../types'
+import Loading from '../../base/loading'
+import LoadedItem from './loaded-item'
+import type { VersionProps } from '@/app/components/plugins/types'
+
+type Props = {
+  checked: boolean
+  onCheckedChange: (plugin: Plugin) => void
+  payload?: Plugin
+  version: string
+  versionInfo: VersionProps
+}
+
+const MarketPlaceItem: FC<Props> = ({
+  checked,
+  onCheckedChange,
+  payload,
+  version,
+  versionInfo,
+}) => {
+  if (!payload) return <Loading />
+  return (
+    <LoadedItem
+      checked={checked}
+      onCheckedChange={onCheckedChange}
+      payload={{ ...payload, version }}
+      isFromMarketPlace
+      versionInfo={versionInfo}
+    />
+  )
+}
+
+export default React.memo(MarketPlaceItem)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx
new file mode 100644
index 0000000000..101c8facaf
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx
@@ -0,0 +1,41 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { Plugin } from '../../../types'
+import type { PackageDependency } from '../../../types'
+import { pluginManifestToCardPluginProps } from '../../utils'
+import LoadedItem from './loaded-item'
+import LoadingError from '../../base/loading-error'
+import type { VersionProps } from '@/app/components/plugins/types'
+
+type Props = {
+  checked: boolean
+  onCheckedChange: (plugin: Plugin) => void
+  payload: PackageDependency
+  isFromMarketPlace?: boolean
+  versionInfo: VersionProps
+}
+
+const PackageItem: FC<Props> = ({
+  payload,
+  checked,
+  onCheckedChange,
+  isFromMarketPlace,
+  versionInfo,
+}) => {
+  if (!payload.value?.manifest)
+    return <LoadingError />
+
+  const plugin = pluginManifestToCardPluginProps(payload.value.manifest)
+  return (
+    <LoadedItem
+      payload={plugin}
+      checked={checked}
+      onCheckedChange={onCheckedChange}
+      isFromMarketPlace={isFromMarketPlace}
+      versionInfo={versionInfo}
+    />
+  )
+}
+
+export default React.memo(PackageItem)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx b/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx
new file mode 100644
index 0000000000..63c0b5b07e
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx
@@ -0,0 +1,57 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useState } from 'react'
+import { InstallStep } from '../../types'
+import Install from './steps/install'
+import Installed from './steps/installed'
+import type { Dependency, InstallStatusResponse, Plugin } from '../../types'
+
+type Props = {
+  step: InstallStep
+  onStepChange: (step: InstallStep) => void,
+  onStartToInstall: () => void
+  setIsInstalling: (isInstalling: boolean) => void
+  allPlugins: Dependency[]
+  onClose: () => void
+  isFromMarketPlace?: boolean
+}
+
+const ReadyToInstall: FC<Props> = ({
+  step,
+  onStepChange,
+  onStartToInstall,
+  setIsInstalling,
+  allPlugins,
+  onClose,
+  isFromMarketPlace,
+}) => {
+  const [installedPlugins, setInstalledPlugins] = useState<Plugin[]>([])
+  const [installStatus, setInstallStatus] = useState<InstallStatusResponse[]>([])
+  const handleInstalled = useCallback((plugins: Plugin[], installStatus: InstallStatusResponse[]) => {
+    setInstallStatus(installStatus)
+    setInstalledPlugins(plugins)
+    onStepChange(InstallStep.installed)
+    setIsInstalling(false)
+  }, [onStepChange, setIsInstalling])
+  return (
+    <>
+      {step === InstallStep.readyToInstall && (
+        <Install
+          allPlugins={allPlugins}
+          onCancel={onClose}
+          onStartToInstall={onStartToInstall}
+          onInstalled={handleInstalled}
+          isFromMarketPlace={isFromMarketPlace}
+        />
+      )}
+      {step === InstallStep.installed && (
+        <Installed
+          list={installedPlugins}
+          installStatus={installStatus}
+          onCancel={onClose}
+        />
+      )}
+    </>
+  )
+}
+export default React.memo(ReadyToInstall)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx
new file mode 100644
index 0000000000..40be3e65e6
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx
@@ -0,0 +1,221 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useEffect, useMemo, useState } from 'react'
+import type { Dependency, GitHubItemAndMarketPlaceDependency, PackageDependency, Plugin, VersionInfo } from '../../../types'
+import MarketplaceItem from '../item/marketplace-item'
+import GithubItem from '../item/github-item'
+import { useFetchPluginsInMarketPlaceByIds, useFetchPluginsInMarketPlaceByInfo } from '@/service/use-plugins'
+import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed'
+import produce from 'immer'
+import PackageItem from '../item/package-item'
+import LoadingError from '../../base/loading-error'
+
+type Props = {
+  allPlugins: Dependency[]
+  selectedPlugins: Plugin[]
+  onSelect: (plugin: Plugin, selectedIndex: number) => void
+  onLoadedAllPlugin: (installedInfo: Record<string, VersionInfo>) => void
+  isFromMarketPlace?: boolean
+}
+
+const InstallByDSLList: FC<Props> = ({
+  allPlugins,
+  selectedPlugins,
+  onSelect,
+  onLoadedAllPlugin,
+  isFromMarketPlace,
+}) => {
+  // DSL has id, to get plugin info to show more info
+  const { isLoading: isFetchingMarketplaceDataById, data: infoGetById, error: infoByIdError } = useFetchPluginsInMarketPlaceByIds(allPlugins.filter(d => d.type === 'marketplace').map(d => (d as GitHubItemAndMarketPlaceDependency).value.marketplace_plugin_unique_identifier!))
+  // has meta(org,name,version), to get id
+  const { isLoading: isFetchingDataByMeta, data: infoByMeta, error: infoByMetaError } = useFetchPluginsInMarketPlaceByInfo(allPlugins.filter(d => d.type === 'marketplace').map(d => (d as GitHubItemAndMarketPlaceDependency).value!))
+
+  const [plugins, doSetPlugins] = useState<(Plugin | undefined)[]>((() => {
+    const hasLocalPackage = allPlugins.some(d => d.type === 'package')
+    if (!hasLocalPackage)
+      return []
+
+    const _plugins = allPlugins.map((d) => {
+      if (d.type === 'package') {
+        return {
+          ...(d as any).value.manifest,
+          plugin_id: (d as any).value.unique_identifier,
+        }
+      }
+
+      return undefined
+    })
+    return _plugins
+  })())
+
+  const pluginsRef = React.useRef<(Plugin | undefined)[]>(plugins)
+
+  const setPlugins = useCallback((p: (Plugin | undefined)[]) => {
+    doSetPlugins(p)
+    pluginsRef.current = p
+  }, [])
+
+  const [errorIndexes, setErrorIndexes] = useState<number[]>([])
+
+  const handleGitHubPluginFetched = useCallback((index: number) => {
+    return (p: Plugin) => {
+      const nextPlugins = produce(pluginsRef.current, (draft) => {
+        draft[index] = p
+      })
+      setPlugins(nextPlugins)
+    }
+  }, [setPlugins])
+
+  const handleGitHubPluginFetchError = useCallback((index: number) => {
+    return () => {
+      setErrorIndexes([...errorIndexes, index])
+    }
+  }, [errorIndexes])
+
+  const marketPlaceInDSLIndex = useMemo(() => {
+    const res: number[] = []
+    allPlugins.forEach((d, index) => {
+      if (d.type === 'marketplace')
+        res.push(index)
+    })
+    return res
+  }, [allPlugins])
+
+  useEffect(() => {
+    if (!isFetchingMarketplaceDataById && infoGetById?.data.plugins) {
+      const payloads = infoGetById?.data.plugins
+      const failedIndex: number[] = []
+      const nextPlugins = produce(pluginsRef.current, (draft) => {
+        marketPlaceInDSLIndex.forEach((index, i) => {
+          if (payloads[i]) {
+            draft[index] = {
+              ...payloads[i],
+              version: payloads[i].version || payloads[i].latest_version,
+            }
+          }
+          else { failedIndex.push(index) }
+        })
+      })
+      setPlugins(nextPlugins)
+
+      if (failedIndex.length > 0)
+        setErrorIndexes([...errorIndexes, ...failedIndex])
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isFetchingMarketplaceDataById])
+
+  useEffect(() => {
+    if (!isFetchingDataByMeta && infoByMeta?.data.list) {
+      const payloads = infoByMeta?.data.list
+      const failedIndex: number[] = []
+      const nextPlugins = produce(pluginsRef.current, (draft) => {
+        marketPlaceInDSLIndex.forEach((index, i) => {
+          if (payloads[i]) {
+            const item = payloads[i]
+            draft[index] = {
+              ...item.plugin,
+              plugin_id: item.version.unique_identifier,
+            }
+          }
+          else {
+            failedIndex.push(index)
+          }
+        })
+      })
+      setPlugins(nextPlugins)
+      if (failedIndex.length > 0)
+        setErrorIndexes([...errorIndexes, ...failedIndex])
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isFetchingDataByMeta])
+
+  useEffect(() => {
+    // get info all failed
+    if (infoByMetaError || infoByIdError)
+      setErrorIndexes([...errorIndexes, ...marketPlaceInDSLIndex])
+
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [infoByMetaError, infoByIdError])
+
+  const isLoadedAllData = (plugins.filter(p => !!p).length + errorIndexes.length) === allPlugins.length
+
+  const { installedInfo } = useCheckInstalled({
+    pluginIds: plugins?.filter(p => !!p).map((d) => {
+      return `${d?.org || d?.author}/${d?.name}`
+    }) || [],
+    enabled: isLoadedAllData,
+  })
+
+  const getVersionInfo = useCallback((pluginId: string) => {
+    const pluginDetail = installedInfo?.[pluginId]
+    const hasInstalled = !!pluginDetail
+    return {
+      hasInstalled,
+      installedVersion: pluginDetail?.installedVersion,
+      toInstallVersion: '',
+    }
+  }, [installedInfo])
+
+  useEffect(() => {
+    if (isLoadedAllData && installedInfo)
+      onLoadedAllPlugin(installedInfo!)
+
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isLoadedAllData, installedInfo])
+
+  const handleSelect = useCallback((index: number) => {
+    return () => {
+      onSelect(plugins[index]!, index)
+    }
+  }, [onSelect, plugins])
+  return (
+    <>
+      {allPlugins.map((d, index) => {
+        if (errorIndexes.includes(index)) {
+          return (
+            <LoadingError key={index} />
+          )
+        }
+        const plugin = plugins[index]
+        if (d.type === 'github') {
+          return (<GithubItem
+            key={index}
+            checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)}
+            onCheckedChange={handleSelect(index)}
+            dependency={d as GitHubItemAndMarketPlaceDependency}
+            onFetchedPayload={handleGitHubPluginFetched(index)}
+            onFetchError={handleGitHubPluginFetchError(index)}
+            versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)}
+          />)
+        }
+
+        if (d.type === 'marketplace') {
+          return (
+            <MarketplaceItem
+              key={index}
+              checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)}
+              onCheckedChange={handleSelect(index)}
+              payload={plugin}
+              version={(d as GitHubItemAndMarketPlaceDependency).value.version! || plugin?.version || ''}
+              versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)}
+            />
+          )
+        }
+
+        // Local package
+        return (
+          <PackageItem
+            key={index}
+            checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)}
+            onCheckedChange={handleSelect(index)}
+            payload={d as PackageDependency}
+            isFromMarketPlace={isFromMarketPlace}
+            versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)}
+          />
+        )
+      })
+      }
+    </>
+  )
+}
+export default React.memo(InstallByDSLList)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx
new file mode 100644
index 0000000000..c70e2759d0
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx
@@ -0,0 +1,116 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useState } from 'react'
+import type { Dependency, InstallStatusResponse, Plugin, VersionInfo } from '../../../types'
+import Button from '@/app/components/base/button'
+import { RiLoader2Line } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import InstallMulti from './install-multi'
+import { useInstallOrUpdate } from '@/service/use-plugins'
+import useRefreshPluginList from '../../hooks/use-refresh-plugin-list'
+const i18nPrefix = 'plugin.installModal'
+
+type Props = {
+  allPlugins: Dependency[]
+  onStartToInstall?: () => void
+  onInstalled: (plugins: Plugin[], installStatus: InstallStatusResponse[]) => void
+  onCancel: () => void
+  isFromMarketPlace?: boolean
+  isHideButton?: boolean
+}
+
+const Install: FC<Props> = ({
+  allPlugins,
+  onStartToInstall,
+  onInstalled,
+  onCancel,
+  isFromMarketPlace,
+  isHideButton,
+}) => {
+  const { t } = useTranslation()
+  const [selectedPlugins, setSelectedPlugins] = React.useState<Plugin[]>([])
+  const [selectedIndexes, setSelectedIndexes] = React.useState<number[]>([])
+  const selectedPluginsNum = selectedPlugins.length
+  const { refreshPluginList } = useRefreshPluginList()
+  const handleSelect = (plugin: Plugin, selectedIndex: number) => {
+    const isSelected = !!selectedPlugins.find(p => p.plugin_id === plugin.plugin_id)
+    let nextSelectedPlugins
+    if (isSelected)
+      nextSelectedPlugins = selectedPlugins.filter(p => p.plugin_id !== plugin.plugin_id)
+    else
+      nextSelectedPlugins = [...selectedPlugins, plugin]
+    setSelectedPlugins(nextSelectedPlugins)
+    const nextSelectedIndexes = isSelected ? selectedIndexes.filter(i => i !== selectedIndex) : [...selectedIndexes, selectedIndex]
+    setSelectedIndexes(nextSelectedIndexes)
+  }
+
+  const [canInstall, setCanInstall] = React.useState(false)
+  const [installedInfo, setInstalledInfo] = useState<Record<string, VersionInfo> | undefined>(undefined)
+
+  const handleLoadedAllPlugin = useCallback((installedInfo: Record<string, VersionInfo> | undefined) => {
+    setInstalledInfo(installedInfo)
+    setCanInstall(true)
+  }, [])
+
+  // Install from marketplace and github
+  const { mutate: installOrUpdate, isPending: isInstalling } = useInstallOrUpdate({
+    onSuccess: (res: InstallStatusResponse[]) => {
+      onInstalled(selectedPlugins, res.map((r, i) => {
+        return ({
+          ...r,
+          isFromMarketPlace: allPlugins[selectedIndexes[i]].type === 'marketplace',
+        })
+      }))
+      const hasInstallSuccess = res.some(r => r.success)
+      if (hasInstallSuccess)
+        refreshPluginList(undefined, true)
+    },
+  })
+  const handleInstall = () => {
+    onStartToInstall?.()
+    installOrUpdate({
+      payload: allPlugins.filter((_d, index) => selectedIndexes.includes(index)),
+      plugin: selectedPlugins,
+      installedInfo: installedInfo!,
+    })
+  }
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        <div className='text-text-secondary system-md-regular'>
+          <p>{t(`${i18nPrefix}.${selectedPluginsNum > 1 ? 'readyToInstallPackages' : 'readyToInstallPackage'}`, { num: selectedPluginsNum })}</p>
+        </div>
+        <div className='w-full p-2 rounded-2xl bg-background-section-burn space-y-1'>
+          <InstallMulti
+            allPlugins={allPlugins}
+            selectedPlugins={selectedPlugins}
+            onSelect={handleSelect}
+            onLoadedAllPlugin={handleLoadedAllPlugin}
+            isFromMarketPlace={isFromMarketPlace}
+          />
+        </div>
+      </div>
+      {/* Action Buttons */}
+      {!isHideButton && (
+        <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+          {!canInstall && (
+            <Button variant='secondary' className='min-w-[72px]' onClick={onCancel}>
+              {t('common.operation.cancel')}
+            </Button>
+          )}
+          <Button
+            variant='primary'
+            className='min-w-[72px] flex space-x-0.5'
+            disabled={!canInstall || isInstalling || selectedPlugins.length === 0}
+            onClick={handleInstall}
+          >
+            {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />}
+            <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span>
+          </Button>
+        </div>
+      )}
+
+    </>
+  )
+}
+export default React.memo(Install)
diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx
new file mode 100644
index 0000000000..8f267cafcc
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx
@@ -0,0 +1,65 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { InstallStatusResponse, Plugin } from '../../../types'
+import Card from '@/app/components/plugins/card'
+import Button from '@/app/components/base/button'
+import { useTranslation } from 'react-i18next'
+import Badge, { BadgeState } from '@/app/components/base/badge/index'
+import useGetIcon from '../../base/use-get-icon'
+import { MARKETPLACE_API_PREFIX } from '@/config'
+
+type Props = {
+  list: Plugin[]
+  installStatus: InstallStatusResponse[]
+  onCancel: () => void
+  isHideButton?: boolean
+}
+
+const Installed: FC<Props> = ({
+  list,
+  installStatus,
+  onCancel,
+  isHideButton,
+}) => {
+  const { t } = useTranslation()
+  const { getIconUrl } = useGetIcon()
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        {/* <p className='text-text-secondary system-md-regular'>{(isFailed && errMsg) ? errMsg : t(`plugin.installModal.${isFailed ? 'installFailedDesc' : 'installedSuccessfullyDesc'}`)}</p> */}
+        <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn space-y-1'>
+          {list.map((plugin, index) => {
+            return (
+              <Card
+                key={plugin.plugin_id}
+                className='w-full'
+                payload={{
+                  ...plugin,
+                  icon: installStatus[index].isFromMarketPlace ? `${MARKETPLACE_API_PREFIX}/plugins/${plugin.org}/${plugin.name}/icon` : getIconUrl(plugin.icon),
+                }}
+                installed={installStatus[index].success}
+                installFailed={!installStatus[index].success}
+                titleLeft={plugin.version ? <Badge className='mx-1' size="s" state={BadgeState.Default}>{plugin.version}</Badge> : null}
+              />
+            )
+          })}
+        </div>
+      </div>
+      {/* Action Buttons */}
+      {!isHideButton && (
+        <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+          <Button
+            variant='primary'
+            className='min-w-[72px]'
+            onClick={onCancel}
+          >
+            {t('common.operation.close')}
+          </Button>
+        </div>
+      )}
+    </>
+  )
+}
+
+export default React.memo(Installed)
diff --git a/web/app/components/plugins/install-plugin/install-from-github/index.tsx b/web/app/components/plugins/install-plugin/install-from-github/index.tsx
new file mode 100644
index 0000000000..53466000cd
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-github/index.tsx
@@ -0,0 +1,235 @@
+'use client'
+
+import React, { useCallback, useState } from 'react'
+import Modal from '@/app/components/base/modal'
+import type { Item } from '@/app/components/base/select'
+import type { InstallState } from '@/app/components/plugins/types'
+import { useGitHubReleases } from '../hooks'
+import { convertRepoToUrl, parseGitHubUrl } from '../utils'
+import type { PluginDeclaration, UpdateFromGitHubPayload } from '../../types'
+import { InstallStepFromGitHub } from '../../types'
+import Toast from '@/app/components/base/toast'
+import SetURL from './steps/setURL'
+import SelectPackage from './steps/selectPackage'
+import Installed from '../base/installed'
+import Loaded from './steps/loaded'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+import { useTranslation } from 'react-i18next'
+import useRefreshPluginList from '../hooks/use-refresh-plugin-list'
+import cn from '@/utils/classnames'
+import useHideLogic from '../hooks/use-hide-logic'
+
+const i18nPrefix = 'plugin.installFromGitHub'
+
+type InstallFromGitHubProps = {
+  updatePayload?: UpdateFromGitHubPayload
+  onClose: () => void
+  onSuccess: () => void
+}
+
+const InstallFromGitHub: React.FC<InstallFromGitHubProps> = ({ updatePayload, onClose, onSuccess }) => {
+  const { t } = useTranslation()
+  const { getIconUrl } = useGetIcon()
+  const { fetchReleases } = useGitHubReleases()
+  const { refreshPluginList } = useRefreshPluginList()
+
+  const {
+    modalClassName,
+    foldAnimInto,
+    setIsInstalling,
+    handleStartToInstall,
+  } = useHideLogic(onClose)
+
+  const [state, setState] = useState<InstallState>({
+    step: updatePayload ? InstallStepFromGitHub.selectPackage : InstallStepFromGitHub.setUrl,
+    repoUrl: updatePayload?.originalPackageInfo?.repo
+      ? convertRepoToUrl(updatePayload.originalPackageInfo.repo)
+      : '',
+    selectedVersion: '',
+    selectedPackage: '',
+    releases: updatePayload ? updatePayload.originalPackageInfo.releases : [],
+  })
+  const [uniqueIdentifier, setUniqueIdentifier] = useState<string | null>(null)
+  const [manifest, setManifest] = useState<PluginDeclaration | null>(null)
+  const [errorMsg, setErrorMsg] = useState<string | null>(null)
+
+  const versions: Item[] = state.releases.map(release => ({
+    value: release.tag_name,
+    name: release.tag_name,
+  }))
+
+  const packages: Item[] = state.selectedVersion
+    ? (state.releases
+      .find(release => release.tag_name === state.selectedVersion)
+      ?.assets
+      .map(asset => ({
+        value: asset.name,
+        name: asset.name,
+      })) || [])
+    : []
+
+  const getTitle = useCallback(() => {
+    if (state.step === InstallStepFromGitHub.installed)
+      return t(`${i18nPrefix}.installedSuccessfully`)
+    if (state.step === InstallStepFromGitHub.installFailed)
+      return t(`${i18nPrefix}.installFailed`)
+
+    return updatePayload ? t(`${i18nPrefix}.updatePlugin`) : t(`${i18nPrefix}.installPlugin`)
+  }, [state.step, t, updatePayload])
+
+  const handleUrlSubmit = async () => {
+    const { isValid, owner, repo } = parseGitHubUrl(state.repoUrl)
+    if (!isValid || !owner || !repo) {
+      Toast.notify({
+        type: 'error',
+        message: t('plugin.error.inValidGitHubUrl'),
+      })
+      return
+    }
+    try {
+      const fetchedReleases = await fetchReleases(owner, repo)
+      if (fetchedReleases.length > 0) {
+        setState(prevState => ({
+          ...prevState,
+          releases: fetchedReleases,
+          step: InstallStepFromGitHub.selectPackage,
+        }))
+      }
+      else {
+        Toast.notify({
+          type: 'error',
+          message: t('plugin.error.noReleasesFound'),
+        })
+      }
+    }
+    catch (error) {
+      Toast.notify({
+        type: 'error',
+        message: t('plugin.error.fetchReleasesError'),
+      })
+    }
+  }
+
+  const handleError = (e: any, isInstall: boolean) => {
+    const message = e?.response?.message || t('plugin.installModal.installFailedDesc')
+    setErrorMsg(message)
+    setState(prevState => ({ ...prevState, step: isInstall ? InstallStepFromGitHub.installFailed : InstallStepFromGitHub.uploadFailed }))
+  }
+
+  const handleUploaded = async (GitHubPackage: any) => {
+    try {
+      const icon = await getIconUrl(GitHubPackage.manifest.icon)
+      setManifest({
+        ...GitHubPackage.manifest,
+        icon,
+      })
+      setUniqueIdentifier(GitHubPackage.uniqueIdentifier)
+      setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.readyToInstall }))
+    }
+    catch (e) {
+      handleError(e, false)
+    }
+  }
+
+  const handleUploadFail = useCallback((errorMsg: string) => {
+    setErrorMsg(errorMsg)
+    setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.uploadFailed }))
+  }, [])
+
+  const handleInstalled = useCallback((notRefresh?: boolean) => {
+    setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.installed }))
+    if (!notRefresh)
+      refreshPluginList(manifest)
+    setIsInstalling(false)
+    onSuccess()
+  }, [manifest, onSuccess, refreshPluginList, setIsInstalling])
+
+  const handleFailed = useCallback((errorMsg?: string) => {
+    setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.installFailed }))
+    setIsInstalling(false)
+    if (errorMsg)
+      setErrorMsg(errorMsg)
+  }, [setIsInstalling])
+
+  const handleBack = () => {
+    setState((prevState) => {
+      switch (prevState.step) {
+        case InstallStepFromGitHub.selectPackage:
+          return { ...prevState, step: InstallStepFromGitHub.setUrl }
+        case InstallStepFromGitHub.readyToInstall:
+          return { ...prevState, step: InstallStepFromGitHub.selectPackage }
+        default:
+          return prevState
+      }
+    })
+  }
+
+  return (
+    <Modal
+      isShow={true}
+      onClose={foldAnimInto}
+      className={cn(modalClassName, `flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px]
+        border-components-panel-border bg-components-panel-bg shadows-shadow-xl`)}
+      closable
+    >
+      <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'>
+        <div className='flex flex-col items-start gap-1 grow'>
+          <div className='self-stretch text-text-primary title-2xl-semi-bold'>
+            {getTitle()}
+          </div>
+          <div className='self-stretch text-text-tertiary system-xs-regular'>
+            {!([InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installed, InstallStepFromGitHub.installFailed].includes(state.step)) && t('plugin.installFromGitHub.installNote')}
+          </div>
+        </div>
+      </div>
+      {([InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installed, InstallStepFromGitHub.installFailed].includes(state.step))
+        ? <Installed
+          payload={manifest}
+          isFailed={[InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installFailed].includes(state.step)}
+          errMsg={errorMsg}
+          onCancel={onClose}
+        />
+        : <div className={`flex px-6 py-3 flex-col justify-center items-start self-stretch ${state.step === InstallStepFromGitHub.installed ? 'gap-2' : 'gap-4'}`}>
+          {state.step === InstallStepFromGitHub.setUrl && (
+            <SetURL
+              repoUrl={state.repoUrl}
+              onChange={value => setState(prevState => ({ ...prevState, repoUrl: value }))}
+              onNext={handleUrlSubmit}
+              onCancel={onClose}
+            />
+          )}
+          {state.step === InstallStepFromGitHub.selectPackage && (
+            <SelectPackage
+              updatePayload={updatePayload!}
+              repoUrl={state.repoUrl}
+              selectedVersion={state.selectedVersion}
+              versions={versions}
+              onSelectVersion={item => setState(prevState => ({ ...prevState, selectedVersion: item.value as string }))}
+              selectedPackage={state.selectedPackage}
+              packages={packages}
+              onSelectPackage={item => setState(prevState => ({ ...prevState, selectedPackage: item.value as string }))}
+              onUploaded={handleUploaded}
+              onFailed={handleUploadFail}
+              onBack={handleBack}
+            />
+          )}
+          {state.step === InstallStepFromGitHub.readyToInstall && (
+            <Loaded
+              updatePayload={updatePayload!}
+              uniqueIdentifier={uniqueIdentifier!}
+              payload={manifest as any}
+              repoUrl={state.repoUrl}
+              selectedVersion={state.selectedVersion}
+              selectedPackage={state.selectedPackage}
+              onBack={handleBack}
+              onStartToInstall={handleStartToInstall}
+              onInstalled={handleInstalled}
+              onFailed={handleFailed}
+            />
+          )}
+        </div>}
+    </Modal>
+  )
+}
+
+export default InstallFromGitHub
diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx
new file mode 100644
index 0000000000..6c3fa7a7bc
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx
@@ -0,0 +1,180 @@
+'use client'
+
+import React, { useEffect } from 'react'
+import Button from '@/app/components/base/button'
+import { type Plugin, type PluginDeclaration, TaskStatus, type UpdateFromGitHubPayload } from '../../../types'
+import Card from '../../../card'
+import { pluginManifestToCardPluginProps } from '../../utils'
+import { useTranslation } from 'react-i18next'
+import { updateFromGitHub } from '@/service/plugins'
+import { useInstallPackageFromGitHub } from '@/service/use-plugins'
+import { RiLoader2Line } from '@remixicon/react'
+import { usePluginTaskList } from '@/service/use-plugins'
+import checkTaskStatus from '../../base/check-task-status'
+import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed'
+import { parseGitHubUrl } from '../../utils'
+import Version from '../../base/version'
+
+type LoadedProps = {
+  updatePayload: UpdateFromGitHubPayload
+  uniqueIdentifier: string
+  payload: PluginDeclaration | Plugin
+  repoUrl: string
+  selectedVersion: string
+  selectedPackage: string
+  onBack: () => void
+  onStartToInstall?: () => void
+  onInstalled: (notRefresh?: boolean) => void
+  onFailed: (message?: string) => void
+}
+
+const i18nPrefix = 'plugin.installModal'
+
+const Loaded: React.FC<LoadedProps> = ({
+  updatePayload,
+  uniqueIdentifier,
+  payload,
+  repoUrl,
+  selectedVersion,
+  selectedPackage,
+  onBack,
+  onStartToInstall,
+  onInstalled,
+  onFailed,
+}) => {
+  const { t } = useTranslation()
+  const toInstallVersion = payload.version
+  const pluginId = (payload as Plugin).plugin_id
+  const { installedInfo, isLoading } = useCheckInstalled({
+    pluginIds: [pluginId],
+    enabled: !!pluginId,
+  })
+  const installedInfoPayload = installedInfo?.[pluginId]
+  const installedVersion = installedInfoPayload?.installedVersion
+  const hasInstalled = !!installedVersion
+
+  const [isInstalling, setIsInstalling] = React.useState(false)
+  const { mutateAsync: installPackageFromGitHub } = useInstallPackageFromGitHub()
+  const { handleRefetch } = usePluginTaskList(payload.category)
+  const { check } = checkTaskStatus()
+
+  useEffect(() => {
+    if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier)
+      onInstalled()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [hasInstalled])
+
+  const handleInstall = async () => {
+    if (isInstalling) return
+    setIsInstalling(true)
+    onStartToInstall?.()
+
+    try {
+      const { owner, repo } = parseGitHubUrl(repoUrl)
+      let taskId
+      let isInstalled
+      if (updatePayload) {
+        const { all_installed, task_id } = await updateFromGitHub(
+          `${owner}/${repo}`,
+          selectedVersion,
+          selectedPackage,
+          updatePayload.originalPackageInfo.id,
+          uniqueIdentifier,
+        )
+
+        taskId = task_id
+        isInstalled = all_installed
+      }
+      else {
+        if (hasInstalled) {
+          const {
+            all_installed,
+            task_id,
+          } = await updateFromGitHub(
+            `${owner}/${repo}`,
+            selectedVersion,
+            selectedPackage,
+            installedInfoPayload.uniqueIdentifier,
+            uniqueIdentifier,
+          )
+          taskId = task_id
+          isInstalled = all_installed
+        }
+        else {
+          const { all_installed, task_id } = await installPackageFromGitHub({
+            repoUrl: `${owner}/${repo}`,
+            selectedVersion,
+            selectedPackage,
+            uniqueIdentifier,
+          })
+
+          taskId = task_id
+          isInstalled = all_installed
+        }
+      }
+      if (isInstalled) {
+        onInstalled()
+        return
+      }
+
+      handleRefetch()
+
+      const { status, error } = await check({
+        taskId,
+        pluginUniqueIdentifier: uniqueIdentifier,
+      })
+      if (status === TaskStatus.failed) {
+        onFailed(error)
+        return
+      }
+      onInstalled(true)
+    }
+    catch (e) {
+      if (typeof e === 'string') {
+        onFailed(e)
+        return
+      }
+      onFailed()
+    }
+    finally {
+      setIsInstalling(false)
+    }
+  }
+
+  return (
+    <>
+      <div className='text-text-secondary system-md-regular'>
+        <p>{t(`${i18nPrefix}.readyToInstall`)}</p>
+      </div>
+      <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+        <Card
+          className='w-full'
+          payload={pluginManifestToCardPluginProps(payload as PluginDeclaration)}
+          titleLeft={!isLoading && <Version
+            hasInstalled={hasInstalled}
+            installedVersion={installedVersion}
+            toInstallVersion={toInstallVersion}
+          />}
+        />
+      </div>
+      <div className='flex justify-end items-center gap-2 self-stretch mt-4'>
+        {!isInstalling && (
+          <Button variant='secondary' className='min-w-[72px]' onClick={onBack}>
+            {t('plugin.installModal.back')}
+          </Button>
+        )}
+        <Button
+          variant='primary'
+          className='min-w-[72px] flex space-x-0.5'
+          onClick={handleInstall}
+          disabled={isInstalling || isLoading}
+        >
+          {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />}
+          <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span>
+        </Button>
+      </div>
+    </>
+  )
+}
+
+export default Loaded
diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx
new file mode 100644
index 0000000000..47a5d86498
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx
@@ -0,0 +1,125 @@
+'use client'
+
+import React from 'react'
+import type { Item } from '@/app/components/base/select'
+import { PortalSelect } from '@/app/components/base/select'
+import Button from '@/app/components/base/button'
+import type { PluginDeclaration, UpdateFromGitHubPayload } from '../../../types'
+import { useTranslation } from 'react-i18next'
+import { useGitHubUpload } from '../../hooks'
+
+const i18nPrefix = 'plugin.installFromGitHub'
+
+type SelectPackageProps = {
+  updatePayload: UpdateFromGitHubPayload
+  repoUrl: string
+  selectedVersion: string
+  versions: Item[]
+  onSelectVersion: (item: Item) => void
+  selectedPackage: string
+  packages: Item[]
+  onSelectPackage: (item: Item) => void
+  onUploaded: (result: {
+    uniqueIdentifier: string
+    manifest: PluginDeclaration
+  }) => void
+  onFailed: (errorMsg: string) => void
+  onBack: () => void
+}
+
+const SelectPackage: React.FC<SelectPackageProps> = ({
+  updatePayload,
+  repoUrl,
+  selectedVersion,
+  versions,
+  onSelectVersion,
+  selectedPackage,
+  packages,
+  onSelectPackage,
+  onUploaded,
+  onFailed,
+  onBack,
+}) => {
+  const { t } = useTranslation()
+  const isEdit = Boolean(updatePayload)
+  const [isUploading, setIsUploading] = React.useState(false)
+  const { handleUpload } = useGitHubUpload()
+
+  const handleUploadPackage = async () => {
+    if (isUploading) return
+    setIsUploading(true)
+    try {
+      const repo = repoUrl.replace('https://github.com/', '')
+      await handleUpload(repo, selectedVersion, selectedPackage, (GitHubPackage) => {
+        onUploaded({
+          uniqueIdentifier: GitHubPackage.unique_identifier,
+          manifest: GitHubPackage.manifest,
+        })
+      })
+    }
+    catch (e: any) {
+      if (e.response?.message)
+        onFailed(e.response?.message)
+      else
+        onFailed(t(`${i18nPrefix}.uploadFailed`))
+    }
+    finally {
+      setIsUploading(false)
+    }
+  }
+
+  return (
+    <>
+      <label
+        htmlFor='version'
+        className='flex flex-col justify-center items-start self-stretch text-text-secondary'
+      >
+        <span className='system-sm-semibold'>{t(`${i18nPrefix}.selectVersion`)}</span>
+      </label>
+      <PortalSelect
+        value={selectedVersion}
+        onSelect={onSelectVersion}
+        items={versions}
+        installedValue={updatePayload?.originalPackageInfo.version}
+        placeholder={t(`${i18nPrefix}.selectVersionPlaceholder`) || ''}
+        popupClassName='w-[512px] z-[1001]'
+      />
+      <label
+        htmlFor='package'
+        className='flex flex-col justify-center items-start self-stretch text-text-secondary'
+      >
+        <span className='system-sm-semibold'>{t(`${i18nPrefix}.selectPackage`)}</span>
+      </label>
+      <PortalSelect
+        value={selectedPackage}
+        onSelect={onSelectPackage}
+        items={packages}
+        readonly={!selectedVersion}
+        placeholder={t(`${i18nPrefix}.selectPackagePlaceholder`) || ''}
+        popupClassName='w-[512px] z-[1001]'
+      />
+      <div className='flex justify-end items-center gap-2 self-stretch mt-4'>
+        {!isEdit
+          && <Button
+            variant='secondary'
+            className='min-w-[72px]'
+            onClick={onBack}
+            disabled={isUploading}
+          >
+            {t('plugin.installModal.back')}
+          </Button>
+        }
+        <Button
+          variant='primary'
+          className='min-w-[72px]'
+          onClick={handleUploadPackage}
+          disabled={!selectedVersion || !selectedPackage || isUploading}
+        >
+          {t('plugin.installModal.next')}
+        </Button>
+      </div>
+    </>
+  )
+}
+
+export default SelectPackage
diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx
new file mode 100644
index 0000000000..c6ce006f37
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx
@@ -0,0 +1,56 @@
+'use client'
+
+import React from 'react'
+import Button from '@/app/components/base/button'
+import { useTranslation } from 'react-i18next'
+
+type SetURLProps = {
+  repoUrl: string
+  onChange: (value: string) => void
+  onNext: () => void
+  onCancel: () => void
+}
+
+const SetURL: React.FC<SetURLProps> = ({ repoUrl, onChange, onNext, onCancel }) => {
+  const { t } = useTranslation()
+  return (
+    <>
+      <label
+        htmlFor='repoUrl'
+        className='flex flex-col justify-center items-start self-stretch text-text-secondary'
+      >
+        <span className='system-sm-semibold'>{t('plugin.installFromGitHub.gitHubRepo')}</span>
+      </label>
+      <input
+        type='url'
+        id='repoUrl'
+        name='repoUrl'
+        value={repoUrl}
+        onChange={e => onChange(e.target.value)}
+        className='flex items-center self-stretch rounded-lg border border-components-input-border-active
+          bg-components-input-bg-active shadows-shadow-xs p-2 gap-[2px] flex-grow overflow-hidden
+          text-components-input-text-filled text-ellipsis system-sm-regular'
+        placeholder='Please enter GitHub repo URL'
+      />
+      <div className='flex justify-end items-center gap-2 self-stretch mt-4'>
+        <Button
+          variant='secondary'
+          className='min-w-[72px]'
+          onClick={onCancel}
+        >
+          {t('plugin.installModal.cancel')}
+        </Button>
+        <Button
+          variant='primary'
+          className='min-w-[72px]'
+          onClick={onNext}
+          disabled={!repoUrl.trim()}
+        >
+          {t('plugin.installModal.next')}
+        </Button>
+      </div>
+    </>
+  )
+}
+
+export default SetURL
diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx
new file mode 100644
index 0000000000..b37ab60079
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx
@@ -0,0 +1,133 @@
+'use client'
+
+import React, { useCallback, useState } from 'react'
+import Modal from '@/app/components/base/modal'
+import type { Dependency, PluginDeclaration } from '../../types'
+import { InstallStep } from '../../types'
+import Uploading from './steps/uploading'
+import { useTranslation } from 'react-i18next'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+import ReadyToInstallPackage from './ready-to-install'
+import ReadyToInstallBundle from '../install-bundle/ready-to-install'
+import useHideLogic from '../hooks/use-hide-logic'
+import cn from '@/utils/classnames'
+
+const i18nPrefix = 'plugin.installModal'
+
+type InstallFromLocalPackageProps = {
+  file: File
+  onSuccess: () => void
+  onClose: () => void
+}
+
+const InstallFromLocalPackage: React.FC<InstallFromLocalPackageProps> = ({
+  file,
+  onClose,
+}) => {
+  const { t } = useTranslation()
+  // uploading -> !uploadFailed -> readyToInstall -> installed/failed
+  const [step, setStep] = useState<InstallStep>(InstallStep.uploading)
+  const [uniqueIdentifier, setUniqueIdentifier] = useState<string | null>(null)
+  const [manifest, setManifest] = useState<PluginDeclaration | null>(null)
+  const [errorMsg, setErrorMsg] = useState<string | null>(null)
+  const isBundle = file.name.endsWith('.difybndl')
+  const [dependencies, setDependencies] = useState<Dependency[]>([])
+
+  const {
+    modalClassName,
+    foldAnimInto,
+    setIsInstalling,
+    handleStartToInstall,
+  } = useHideLogic(onClose)
+
+  const getTitle = useCallback(() => {
+    if (step === InstallStep.uploadFailed)
+      return t(`${i18nPrefix}.uploadFailed`)
+    if (isBundle && step === InstallStep.installed)
+      return t(`${i18nPrefix}.installComplete`)
+    if (step === InstallStep.installed)
+      return t(`${i18nPrefix}.installedSuccessfully`)
+    if (step === InstallStep.installFailed)
+      return t(`${i18nPrefix}.installFailed`)
+
+    return t(`${i18nPrefix}.installPlugin`)
+  }, [isBundle, step, t])
+
+  const { getIconUrl } = useGetIcon()
+
+  const handlePackageUploaded = useCallback(async (result: {
+    uniqueIdentifier: string
+    manifest: PluginDeclaration
+  }) => {
+    const {
+      manifest,
+      uniqueIdentifier,
+    } = result
+    const icon = await getIconUrl(manifest!.icon)
+    setUniqueIdentifier(uniqueIdentifier)
+    setManifest({
+      ...manifest,
+      icon,
+    })
+    setStep(InstallStep.readyToInstall)
+  }, [getIconUrl])
+
+  const handleBundleUploaded = useCallback((result: Dependency[]) => {
+    setDependencies(result)
+    setStep(InstallStep.readyToInstall)
+  }, [])
+
+  const handleUploadFail = useCallback((errorMsg: string) => {
+    setErrorMsg(errorMsg)
+    setStep(InstallStep.uploadFailed)
+  }, [])
+
+  return (
+    <Modal
+      isShow={true}
+      onClose={foldAnimInto}
+      className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')}
+      closable
+    >
+      <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'>
+        <div className='self-stretch text-text-primary title-2xl-semi-bold'>
+          {getTitle()}
+        </div>
+      </div>
+      {step === InstallStep.uploading && (
+        <Uploading
+          isBundle={isBundle}
+          file={file}
+          onCancel={onClose}
+          onPackageUploaded={handlePackageUploaded}
+          onBundleUploaded={handleBundleUploaded}
+          onFailed={handleUploadFail}
+        />
+      )}
+      {isBundle ? (
+        <ReadyToInstallBundle
+          step={step}
+          onStepChange={setStep}
+          onStartToInstall={handleStartToInstall}
+          setIsInstalling={setIsInstalling}
+          onClose={onClose}
+          allPlugins={dependencies}
+        />
+      ) : (
+        <ReadyToInstallPackage
+          step={step}
+          onStepChange={setStep}
+          onStartToInstall={handleStartToInstall}
+          setIsInstalling={setIsInstalling}
+          onClose={onClose}
+          uniqueIdentifier={uniqueIdentifier}
+          manifest={manifest}
+          errorMsg={errorMsg}
+          onError={setErrorMsg}
+        />
+      )}
+    </Modal>
+  )
+}
+
+export default InstallFromLocalPackage
diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx
new file mode 100644
index 0000000000..f85cde1e2a
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx
@@ -0,0 +1,76 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback } from 'react'
+import type { PluginDeclaration } from '../../types'
+import { InstallStep } from '../../types'
+import Install from './steps/install'
+import Installed from '../base/installed'
+import useRefreshPluginList from '../hooks/use-refresh-plugin-list'
+
+type Props = {
+  step: InstallStep
+  onStepChange: (step: InstallStep) => void,
+  onStartToInstall: () => void
+  setIsInstalling: (isInstalling: boolean) => void
+  onClose: () => void
+  uniqueIdentifier: string | null,
+  manifest: PluginDeclaration | null,
+  errorMsg: string | null,
+  onError: (errorMsg: string) => void,
+}
+
+const ReadyToInstall: FC<Props> = ({
+  step,
+  onStepChange,
+  onStartToInstall,
+  setIsInstalling,
+  onClose,
+  uniqueIdentifier,
+  manifest,
+  errorMsg,
+  onError,
+}) => {
+  const { refreshPluginList } = useRefreshPluginList()
+
+  const handleInstalled = useCallback((notRefresh?: boolean) => {
+    onStepChange(InstallStep.installed)
+    if (!notRefresh)
+      refreshPluginList(manifest)
+    setIsInstalling(false)
+  }, [manifest, onStepChange, refreshPluginList, setIsInstalling])
+
+  const handleFailed = useCallback((errorMsg?: string) => {
+    onStepChange(InstallStep.installFailed)
+    setIsInstalling(false)
+    if (errorMsg)
+      onError(errorMsg)
+  }, [onError, onStepChange, setIsInstalling])
+
+  return (
+    <>
+      {
+        step === InstallStep.readyToInstall && (
+          <Install
+            uniqueIdentifier={uniqueIdentifier!}
+            payload={manifest!}
+            onCancel={onClose}
+            onInstalled={handleInstalled}
+            onFailed={handleFailed}
+            onStartToInstall={onStartToInstall}
+          />
+        )
+      }
+      {
+        ([InstallStep.uploadFailed, InstallStep.installed, InstallStep.installFailed].includes(step)) && (
+          <Installed
+            payload={manifest}
+            isFailed={[InstallStep.uploadFailed, InstallStep.installFailed].includes(step)}
+            errMsg={errorMsg}
+            onCancel={onClose}
+          />
+        )
+      }
+    </>
+  )
+}
+export default React.memo(ReadyToInstall)
diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx
new file mode 100644
index 0000000000..f0d43e9418
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx
@@ -0,0 +1,150 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect } from 'react'
+import { type PluginDeclaration, TaskStatus } from '../../../types'
+import Card from '../../../card'
+import { pluginManifestToCardPluginProps } from '../../utils'
+import Button from '@/app/components/base/button'
+import { Trans, useTranslation } from 'react-i18next'
+import { RiLoader2Line } from '@remixicon/react'
+import checkTaskStatus from '../../base/check-task-status'
+import { useInstallPackageFromLocal, usePluginTaskList } from '@/service/use-plugins'
+import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed'
+import { uninstallPlugin } from '@/service/plugins'
+import Version from '../../base/version'
+
+const i18nPrefix = 'plugin.installModal'
+
+type Props = {
+  uniqueIdentifier: string
+  payload: PluginDeclaration
+  onCancel: () => void
+  onStartToInstall?: () => void
+  onInstalled: (notRefresh?: boolean) => void
+  onFailed: (message?: string) => void
+}
+
+const Installed: FC<Props> = ({
+  uniqueIdentifier,
+  payload,
+  onCancel,
+  onStartToInstall,
+  onInstalled,
+  onFailed,
+}) => {
+  const { t } = useTranslation()
+  const toInstallVersion = payload.version
+  const pluginId = `${payload.author}/${payload.name}`
+  const { installedInfo, isLoading } = useCheckInstalled({
+    pluginIds: [pluginId],
+    enabled: !!pluginId,
+  })
+  const installedInfoPayload = installedInfo?.[pluginId]
+  const installedVersion = installedInfoPayload?.installedVersion
+  const hasInstalled = !!installedVersion
+
+  useEffect(() => {
+    if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier)
+      onInstalled()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [hasInstalled])
+
+  const [isInstalling, setIsInstalling] = React.useState(false)
+  const { mutateAsync: installPackageFromLocal } = useInstallPackageFromLocal()
+
+  const {
+    check,
+    stop,
+  } = checkTaskStatus()
+
+  const handleCancel = () => {
+    stop()
+    onCancel()
+  }
+
+  const { handleRefetch } = usePluginTaskList(payload.category)
+  const handleInstall = async () => {
+    if (isInstalling) return
+    setIsInstalling(true)
+    onStartToInstall?.()
+
+    try {
+      if (hasInstalled)
+        await uninstallPlugin(installedInfoPayload.installedId)
+
+      const {
+        all_installed,
+        task_id,
+      } = await installPackageFromLocal(uniqueIdentifier)
+      const taskId = task_id
+      const isInstalled = all_installed
+
+      if (isInstalled) {
+        onInstalled()
+        return
+      }
+      handleRefetch()
+      const { status, error } = await check({
+        taskId,
+        pluginUniqueIdentifier: uniqueIdentifier,
+      })
+      if (status === TaskStatus.failed) {
+        onFailed(error)
+        return
+      }
+      onInstalled(true)
+    }
+    catch (e) {
+      if (typeof e === 'string') {
+        onFailed(e)
+        return
+      }
+      onFailed()
+    }
+  }
+
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        <div className='text-text-secondary system-md-regular'>
+          <p>{t(`${i18nPrefix}.readyToInstall`)}</p>
+          <p>
+            <Trans
+              i18nKey={`${i18nPrefix}.fromTrustSource`}
+              components={{ trustSource: <span className='system-md-semibold' /> }}
+            />
+          </p>
+        </div>
+        <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+          <Card
+            className='w-full'
+            payload={pluginManifestToCardPluginProps(payload)}
+            titleLeft={!isLoading && <Version
+              hasInstalled={hasInstalled}
+              installedVersion={installedVersion}
+              toInstallVersion={toInstallVersion}
+            />}
+          />
+        </div>
+      </div>
+      {/* Action Buttons */}
+      <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+        {!isInstalling && (
+          <Button variant='secondary' className='min-w-[72px]' onClick={handleCancel}>
+            {t('common.operation.cancel')}
+          </Button>
+        )}
+        <Button
+          variant='primary'
+          className='min-w-[72px] flex space-x-0.5'
+          disabled={isInstalling || isLoading}
+          onClick={handleInstall}
+        >
+          {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />}
+          <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span>
+        </Button>
+      </div>
+    </>
+  )
+}
+export default React.memo(Installed)
diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx
new file mode 100644
index 0000000000..61e762ce60
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx
@@ -0,0 +1,99 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { RiLoader2Line } from '@remixicon/react'
+import Card from '../../../card'
+import type { Dependency, PluginDeclaration } from '../../../types'
+import Button from '@/app/components/base/button'
+import { useTranslation } from 'react-i18next'
+import { uploadFile } from '@/service/plugins'
+const i18nPrefix = 'plugin.installModal'
+
+type Props = {
+  isBundle: boolean
+  file: File
+  onCancel: () => void
+  onPackageUploaded: (result: {
+    uniqueIdentifier: string
+    manifest: PluginDeclaration
+  }) => void
+  onBundleUploaded: (result: Dependency[]) => void
+  onFailed: (errorMsg: string) => void
+}
+
+const Uploading: FC<Props> = ({
+  isBundle,
+  file,
+  onCancel,
+  onPackageUploaded,
+  onBundleUploaded,
+  onFailed,
+}) => {
+  const { t } = useTranslation()
+  const fileName = file.name
+  const handleUpload = async () => {
+    try {
+      await uploadFile(file, isBundle)
+    }
+    catch (e: any) {
+      if (e.response?.message) {
+        onFailed(e.response?.message)
+      }
+      else { // Why it would into this branch?
+        const res = e.response
+        if (isBundle) {
+          onBundleUploaded(res)
+          return
+        }
+        onPackageUploaded({
+          uniqueIdentifier: res.unique_identifier,
+          manifest: res.manifest,
+        })
+      }
+    }
+  }
+
+  React.useEffect(() => {
+    handleUpload()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [])
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        <div className='flex items-center gap-1 self-stretch'>
+          <RiLoader2Line className='text-text-accent w-4 h-4 animate-spin-slow' />
+          <div className='text-text-secondary system-md-regular'>
+            {t(`${i18nPrefix}.uploadingPackage`, {
+              packageName: fileName,
+            })}
+          </div>
+        </div>
+        <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+          <Card
+            className='w-full'
+            payload={{ name: fileName } as any}
+            isLoading
+            loadingFileName={fileName}
+            installed={false}
+          />
+        </div>
+      </div>
+
+      {/* Action Buttons */}
+      <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+        <Button variant='secondary' className='min-w-[72px]' onClick={onCancel}>
+          {t('common.operation.cancel')}
+        </Button>
+        <Button
+          variant='primary'
+          className='min-w-[72px]'
+          disabled
+        >
+          {t(`${i18nPrefix}.install`)}
+        </Button>
+      </div>
+    </>
+  )
+}
+
+export default React.memo(Uploading)
diff --git a/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx b/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx
new file mode 100644
index 0000000000..149efd4b40
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx
@@ -0,0 +1,125 @@
+'use client'
+
+import React, { useCallback, useState } from 'react'
+import Modal from '@/app/components/base/modal'
+import type { Dependency, Plugin, PluginManifestInMarket } from '../../types'
+import { InstallStep } from '../../types'
+import Install from './steps/install'
+import Installed from '../base/installed'
+import { useTranslation } from 'react-i18next'
+import useRefreshPluginList from '../hooks/use-refresh-plugin-list'
+import ReadyToInstallBundle from '../install-bundle/ready-to-install'
+import cn from '@/utils/classnames'
+import useHideLogic from '../hooks/use-hide-logic'
+
+const i18nPrefix = 'plugin.installModal'
+
+type InstallFromMarketplaceProps = {
+  uniqueIdentifier: string
+  manifest: PluginManifestInMarket | Plugin
+  isBundle?: boolean
+  dependencies?: Dependency[]
+  onSuccess: () => void
+  onClose: () => void
+}
+
+const InstallFromMarketplace: React.FC<InstallFromMarketplaceProps> = ({
+  uniqueIdentifier,
+  manifest,
+  isBundle,
+  dependencies,
+  onSuccess,
+  onClose,
+}) => {
+  const { t } = useTranslation()
+  // readyToInstall -> check installed -> installed/failed
+  const [step, setStep] = useState<InstallStep>(InstallStep.readyToInstall)
+  const [errorMsg, setErrorMsg] = useState<string | null>(null)
+  const { refreshPluginList } = useRefreshPluginList()
+
+  const {
+    modalClassName,
+    foldAnimInto,
+    setIsInstalling,
+    handleStartToInstall,
+  } = useHideLogic(onClose)
+
+  const getTitle = useCallback(() => {
+    if (isBundle && step === InstallStep.installed)
+      return t(`${i18nPrefix}.installComplete`)
+    if (step === InstallStep.installed)
+      return t(`${i18nPrefix}.installedSuccessfully`)
+    if (step === InstallStep.installFailed)
+      return t(`${i18nPrefix}.installFailed`)
+    return t(`${i18nPrefix}.installPlugin`)
+  }, [isBundle, step, t])
+
+  const handleInstalled = useCallback((notRefresh?: boolean) => {
+    setStep(InstallStep.installed)
+    if (!notRefresh)
+      refreshPluginList(manifest)
+    setIsInstalling(false)
+  }, [manifest, refreshPluginList, setIsInstalling])
+
+  const handleFailed = useCallback((errorMsg?: string) => {
+    setStep(InstallStep.installFailed)
+    setIsInstalling(false)
+    if (errorMsg)
+      setErrorMsg(errorMsg)
+  }, [setIsInstalling])
+
+  return (
+    <Modal
+      isShow={true}
+      onClose={foldAnimInto}
+      wrapperClassName='z-[9999]'
+      className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')}
+      closable
+    >
+      <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'>
+        <div className='self-stretch text-text-primary title-2xl-semi-bold'>
+          {getTitle()}
+        </div>
+      </div>
+      {
+        isBundle ? (
+          <ReadyToInstallBundle
+            step={step}
+            onStepChange={setStep}
+            onStartToInstall={handleStartToInstall}
+            setIsInstalling={setIsInstalling}
+            onClose={onClose}
+            allPlugins={dependencies!}
+            isFromMarketPlace
+          />
+        ) : (<>
+          {
+            step === InstallStep.readyToInstall && (
+              <Install
+                uniqueIdentifier={uniqueIdentifier}
+                payload={manifest!}
+                onCancel={onClose}
+                onInstalled={handleInstalled}
+                onFailed={handleFailed}
+                onStartToInstall={handleStartToInstall}
+              />
+            )}
+          {
+            [InstallStep.installed, InstallStep.installFailed].includes(step) && (
+              <Installed
+                payload={manifest!}
+                isMarketPayload
+                isFailed={step === InstallStep.installFailed}
+                errMsg={errorMsg}
+                onCancel={onSuccess}
+              />
+            )
+          }
+        </>
+        )
+      }
+    </Modal >
+  )
+}
+
+export default InstallFromMarketplace
diff --git a/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx b/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx
new file mode 100644
index 0000000000..f70cdc234d
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx
@@ -0,0 +1,158 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect } from 'react'
+// import { RiInformation2Line } from '@remixicon/react'
+import { type Plugin, type PluginManifestInMarket, TaskStatus } from '../../../types'
+import Card from '../../../card'
+import { pluginManifestInMarketToPluginProps } from '../../utils'
+import Button from '@/app/components/base/button'
+import { useTranslation } from 'react-i18next'
+import { RiLoader2Line } from '@remixicon/react'
+import { useInstallPackageFromMarketPlace, useUpdatePackageFromMarketPlace } from '@/service/use-plugins'
+import checkTaskStatus from '../../base/check-task-status'
+import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed'
+import Version from '../../base/version'
+import { usePluginTaskList } from '@/service/use-plugins'
+
+const i18nPrefix = 'plugin.installModal'
+
+type Props = {
+  uniqueIdentifier: string
+  payload: PluginManifestInMarket | Plugin
+  onCancel: () => void
+  onStartToInstall?: () => void
+  onInstalled: (notRefresh?: boolean) => void
+  onFailed: (message?: string) => void
+}
+
+const Installed: FC<Props> = ({
+  uniqueIdentifier,
+  payload,
+  onCancel,
+  onStartToInstall,
+  onInstalled,
+  onFailed,
+}) => {
+  const { t } = useTranslation()
+  const toInstallVersion = payload.version || payload.latest_version
+  const pluginId = (payload as Plugin).plugin_id
+  const { installedInfo, isLoading } = useCheckInstalled({
+    pluginIds: [pluginId],
+    enabled: !!pluginId,
+  })
+  const installedInfoPayload = installedInfo?.[pluginId]
+  const installedVersion = installedInfoPayload?.installedVersion
+  const hasInstalled = !!installedVersion
+
+  const { mutateAsync: installPackageFromMarketPlace } = useInstallPackageFromMarketPlace()
+  const { mutateAsync: updatePackageFromMarketPlace } = useUpdatePackageFromMarketPlace()
+  const [isInstalling, setIsInstalling] = React.useState(false)
+  const {
+    check,
+    stop,
+  } = checkTaskStatus()
+  const { handleRefetch } = usePluginTaskList(payload.category)
+
+  useEffect(() => {
+    if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier)
+      onInstalled()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [hasInstalled])
+
+  const handleCancel = () => {
+    stop()
+    onCancel()
+  }
+
+  const handleInstall = async () => {
+    if (isInstalling) return
+    onStartToInstall?.()
+    setIsInstalling(true)
+    try {
+      let taskId
+      let isInstalled
+      if (hasInstalled) {
+        const {
+          all_installed,
+          task_id,
+        } = await updatePackageFromMarketPlace({
+          original_plugin_unique_identifier: installedInfoPayload.uniqueIdentifier,
+          new_plugin_unique_identifier: uniqueIdentifier,
+        })
+        taskId = task_id
+        isInstalled = all_installed
+      }
+      else {
+        const {
+          all_installed,
+          task_id,
+        } = await installPackageFromMarketPlace(uniqueIdentifier)
+        taskId = task_id
+        isInstalled = all_installed
+      }
+
+      if (isInstalled) {
+        onInstalled()
+        return
+      }
+
+      handleRefetch()
+
+      const { status, error } = await check({
+        taskId,
+        pluginUniqueIdentifier: uniqueIdentifier,
+      })
+      if (status === TaskStatus.failed) {
+        onFailed(error)
+        return
+      }
+      onInstalled(true)
+    }
+    catch (e) {
+      if (typeof e === 'string') {
+        onFailed(e)
+        return
+      }
+      onFailed()
+    }
+  }
+
+  return (
+    <>
+      <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'>
+        <div className='text-text-secondary system-md-regular'>
+          <p>{t(`${i18nPrefix}.readyToInstall`)}</p>
+        </div>
+        <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+          <Card
+            className='w-full'
+            payload={pluginManifestInMarketToPluginProps(payload as PluginManifestInMarket)}
+            titleLeft={!isLoading && <Version
+              hasInstalled={hasInstalled}
+              installedVersion={installedVersion}
+              toInstallVersion={toInstallVersion}
+            />}
+          />
+        </div>
+      </div>
+      {/* Action Buttons */}
+      <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+        {!isInstalling && (
+          <Button variant='secondary' className='min-w-[72px]' onClick={handleCancel}>
+            {t('common.operation.cancel')}
+          </Button>
+        )}
+        <Button
+          variant='primary'
+          className='min-w-[72px] flex space-x-0.5'
+          disabled={isInstalling || isLoading}
+          onClick={handleInstall}
+        >
+          {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />}
+          <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span>
+        </Button>
+      </div>
+    </>
+  )
+}
+export default React.memo(Installed)
diff --git a/web/app/components/plugins/install-plugin/utils.ts b/web/app/components/plugins/install-plugin/utils.ts
new file mode 100644
index 0000000000..dc3113e6a5
--- /dev/null
+++ b/web/app/components/plugins/install-plugin/utils.ts
@@ -0,0 +1,59 @@
+import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../types'
+import type { GitHubUrlInfo } from '@/app/components/plugins/types'
+
+export const pluginManifestToCardPluginProps = (pluginManifest: PluginDeclaration): Plugin => {
+  return {
+    plugin_id: pluginManifest.plugin_unique_identifier,
+    type: pluginManifest.category,
+    category: pluginManifest.category,
+    name: pluginManifest.name,
+    version: pluginManifest.version,
+    latest_version: '',
+    latest_package_identifier: '',
+    org: pluginManifest.author,
+    label: pluginManifest.label,
+    brief: pluginManifest.description,
+    icon: pluginManifest.icon,
+    verified: pluginManifest.verified,
+    introduction: '',
+    repository: '',
+    install_count: 0,
+    endpoint: {
+      settings: [],
+    },
+    tags: [],
+  }
+}
+
+export const pluginManifestInMarketToPluginProps = (pluginManifest: PluginManifestInMarket): Plugin => {
+  return {
+    plugin_id: pluginManifest.plugin_unique_identifier,
+    type: pluginManifest.category,
+    category: pluginManifest.category,
+    name: pluginManifest.name,
+    version: pluginManifest.latest_version,
+    latest_version: pluginManifest.latest_version,
+    latest_package_identifier: '',
+    org: pluginManifest.org,
+    label: pluginManifest.label,
+    brief: pluginManifest.brief,
+    icon: pluginManifest.icon,
+    verified: pluginManifest.verified,
+    introduction: pluginManifest.introduction,
+    repository: '',
+    install_count: 0,
+    endpoint: {
+      settings: [],
+    },
+    tags: [],
+  }
+}
+
+export const parseGitHubUrl = (url: string): GitHubUrlInfo => {
+  const match = url.match(/^https:\/\/github\.com\/([^\/]+)\/([^\/]+)\/?$/)
+  return match ? { isValid: true, owner: match[1], repo: match[2] } : { isValid: false }
+}
+
+export const convertRepoToUrl = (repo: string) => {
+  return repo ? `https://github.com/${repo}` : ''
+}
diff --git a/web/app/components/plugins/marketplace/constants.ts b/web/app/components/plugins/marketplace/constants.ts
new file mode 100644
index 0000000000..6bd4e29604
--- /dev/null
+++ b/web/app/components/plugins/marketplace/constants.ts
@@ -0,0 +1,4 @@
+export const DEFAULT_SORT = {
+  sortBy: 'install_count',
+  sortOrder: 'DESC',
+}
diff --git a/web/app/components/plugins/marketplace/context.tsx b/web/app/components/plugins/marketplace/context.tsx
new file mode 100644
index 0000000000..cba3835513
--- /dev/null
+++ b/web/app/components/plugins/marketplace/context.tsx
@@ -0,0 +1,316 @@
+'use client'
+
+import type {
+  ReactNode,
+} from 'react'
+import {
+  useCallback,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from 'react'
+import {
+  createContext,
+  useContextSelector,
+} from 'use-context-selector'
+import { PLUGIN_TYPE_SEARCH_MAP } from './plugin-type-switch'
+import type { Plugin } from '../types'
+import {
+  getValidCategoryKeys,
+  getValidTagKeys,
+} from '../utils'
+import type {
+  MarketplaceCollection,
+  PluginsSort,
+  SearchParams,
+  SearchParamsFromCollection,
+} from './types'
+import { DEFAULT_SORT } from './constants'
+import {
+  useMarketplaceCollectionsAndPlugins,
+  useMarketplaceContainerScroll,
+  useMarketplacePlugins,
+} from './hooks'
+import {
+  getMarketplaceListCondition,
+  getMarketplaceListFilterType,
+} from './utils'
+import { useInstalledPluginList } from '@/service/use-plugins'
+
+export type MarketplaceContextValue = {
+  intersected: boolean
+  setIntersected: (intersected: boolean) => void
+  searchPluginText: string
+  handleSearchPluginTextChange: (text: string) => void
+  filterPluginTags: string[]
+  handleFilterPluginTagsChange: (tags: string[]) => void
+  activePluginType: string
+  handleActivePluginTypeChange: (type: string) => void
+  page: number
+  handlePageChange: (page: number) => void
+  plugins?: Plugin[]
+  pluginsTotal?: number
+  resetPlugins: () => void
+  sort: PluginsSort
+  handleSortChange: (sort: PluginsSort) => void
+  handleQueryPlugins: () => void
+  handleMoreClick: (searchParams: SearchParamsFromCollection) => void
+  marketplaceCollectionsFromClient?: MarketplaceCollection[]
+  setMarketplaceCollectionsFromClient: (collections: MarketplaceCollection[]) => void
+  marketplaceCollectionPluginsMapFromClient?: Record<string, Plugin[]>
+  setMarketplaceCollectionPluginsMapFromClient: (map: Record<string, Plugin[]>) => void
+  isLoading: boolean
+  isSuccessCollections: boolean
+}
+
+export const MarketplaceContext = createContext<MarketplaceContextValue>({
+  intersected: true,
+  setIntersected: () => {},
+  searchPluginText: '',
+  handleSearchPluginTextChange: () => {},
+  filterPluginTags: [],
+  handleFilterPluginTagsChange: () => {},
+  activePluginType: 'all',
+  handleActivePluginTypeChange: () => {},
+  page: 1,
+  handlePageChange: () => {},
+  plugins: undefined,
+  pluginsTotal: 0,
+  resetPlugins: () => {},
+  sort: DEFAULT_SORT,
+  handleSortChange: () => {},
+  handleQueryPlugins: () => {},
+  handleMoreClick: () => {},
+  marketplaceCollectionsFromClient: [],
+  setMarketplaceCollectionsFromClient: () => {},
+  marketplaceCollectionPluginsMapFromClient: {},
+  setMarketplaceCollectionPluginsMapFromClient: () => {},
+  isLoading: false,
+  isSuccessCollections: false,
+})
+
+type MarketplaceContextProviderProps = {
+  children: ReactNode
+  searchParams?: SearchParams
+  shouldExclude?: boolean
+  scrollContainerId?: string
+}
+
+export function useMarketplaceContext(selector: (value: MarketplaceContextValue) => any) {
+  return useContextSelector(MarketplaceContext, selector)
+}
+
+export const MarketplaceContextProvider = ({
+  children,
+  searchParams,
+  shouldExclude,
+  scrollContainerId,
+}: MarketplaceContextProviderProps) => {
+  const { data, isSuccess } = useInstalledPluginList(!shouldExclude)
+  const exclude = useMemo(() => {
+    if (shouldExclude)
+      return data?.plugins.map(plugin => plugin.plugin_id)
+  }, [data?.plugins, shouldExclude])
+  const queryFromSearchParams = searchParams?.q || ''
+  const tagsFromSearchParams = searchParams?.tags ? getValidTagKeys(searchParams.tags.split(',')) : []
+  const hasValidTags = !!tagsFromSearchParams.length
+  const hasValidCategory = getValidCategoryKeys(searchParams?.category)
+  const categoryFromSearchParams = hasValidCategory || PLUGIN_TYPE_SEARCH_MAP.all
+  const [intersected, setIntersected] = useState(true)
+  const [searchPluginText, setSearchPluginText] = useState(queryFromSearchParams)
+  const searchPluginTextRef = useRef(searchPluginText)
+  const [filterPluginTags, setFilterPluginTags] = useState<string[]>(tagsFromSearchParams)
+  const filterPluginTagsRef = useRef(filterPluginTags)
+  const [activePluginType, setActivePluginType] = useState(categoryFromSearchParams)
+  const activePluginTypeRef = useRef(activePluginType)
+  const [page, setPage] = useState(1)
+  const pageRef = useRef(page)
+  const [sort, setSort] = useState(DEFAULT_SORT)
+  const sortRef = useRef(sort)
+  const {
+    marketplaceCollections: marketplaceCollectionsFromClient,
+    setMarketplaceCollections: setMarketplaceCollectionsFromClient,
+    marketplaceCollectionPluginsMap: marketplaceCollectionPluginsMapFromClient,
+    setMarketplaceCollectionPluginsMap: setMarketplaceCollectionPluginsMapFromClient,
+    queryMarketplaceCollectionsAndPlugins,
+    isLoading,
+    isSuccess: isSuccessCollections,
+  } = useMarketplaceCollectionsAndPlugins()
+  const {
+    plugins,
+    total: pluginsTotal,
+    resetPlugins,
+    queryPlugins,
+    queryPluginsWithDebounced,
+    isLoading: isPluginsLoading,
+  } = useMarketplacePlugins()
+
+  useEffect(() => {
+    if (queryFromSearchParams || hasValidTags || hasValidCategory) {
+      queryPlugins({
+        query: queryFromSearchParams,
+        category: hasValidCategory,
+        tags: hasValidTags ? tagsFromSearchParams : [],
+        sortBy: sortRef.current.sortBy,
+        sortOrder: sortRef.current.sortOrder,
+        type: getMarketplaceListFilterType(activePluginTypeRef.current),
+        page: pageRef.current,
+      })
+      history.pushState({}, '', `/${searchParams?.language ? `?language=${searchParams?.language}` : ''}`)
+    }
+    else {
+      if (shouldExclude && isSuccess) {
+        queryMarketplaceCollectionsAndPlugins({
+          exclude,
+          type: getMarketplaceListFilterType(activePluginTypeRef.current),
+        })
+      }
+    }
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [queryPlugins, queryMarketplaceCollectionsAndPlugins, isSuccess, exclude])
+
+  const handleQueryMarketplaceCollectionsAndPlugins = useCallback(() => {
+    queryMarketplaceCollectionsAndPlugins({
+      category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current,
+      condition: getMarketplaceListCondition(activePluginTypeRef.current),
+      exclude,
+      type: getMarketplaceListFilterType(activePluginTypeRef.current),
+    })
+    resetPlugins()
+  }, [exclude, queryMarketplaceCollectionsAndPlugins, resetPlugins])
+
+  const handleQueryPlugins = useCallback((debounced?: boolean) => {
+    if (debounced) {
+      queryPluginsWithDebounced({
+        query: searchPluginTextRef.current,
+        category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current,
+        tags: filterPluginTagsRef.current,
+        sortBy: sortRef.current.sortBy,
+        sortOrder: sortRef.current.sortOrder,
+        exclude,
+        type: getMarketplaceListFilterType(activePluginTypeRef.current),
+        page: pageRef.current,
+      })
+    }
+    else {
+      queryPlugins({
+        query: searchPluginTextRef.current,
+        category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current,
+        tags: filterPluginTagsRef.current,
+        sortBy: sortRef.current.sortBy,
+        sortOrder: sortRef.current.sortOrder,
+        exclude,
+        type: getMarketplaceListFilterType(activePluginTypeRef.current),
+        page: pageRef.current,
+      })
+    }
+  }, [exclude, queryPluginsWithDebounced, queryPlugins])
+
+  const handleQuery = useCallback((debounced?: boolean) => {
+    if (!searchPluginTextRef.current && !filterPluginTagsRef.current.length) {
+      handleQueryMarketplaceCollectionsAndPlugins()
+      return
+    }
+
+    handleQueryPlugins(debounced)
+  }, [handleQueryMarketplaceCollectionsAndPlugins, handleQueryPlugins])
+
+  const handleSearchPluginTextChange = useCallback((text: string) => {
+    setSearchPluginText(text)
+    searchPluginTextRef.current = text
+    setPage(1)
+    pageRef.current = 1
+
+    handleQuery(true)
+  }, [handleQuery])
+
+  const handleFilterPluginTagsChange = useCallback((tags: string[]) => {
+    setFilterPluginTags(tags)
+    filterPluginTagsRef.current = tags
+    setPage(1)
+    pageRef.current = 1
+
+    handleQuery()
+  }, [handleQuery])
+
+  const handleActivePluginTypeChange = useCallback((type: string) => {
+    setActivePluginType(type)
+    activePluginTypeRef.current = type
+    setPage(1)
+    pageRef.current = 1
+  }, [])
+
+  useEffect(() => {
+    handleQuery()
+  }, [activePluginType, handleQuery])
+
+  const handleSortChange = useCallback((sort: PluginsSort) => {
+    setSort(sort)
+    sortRef.current = sort
+    setPage(1)
+    pageRef.current = 1
+
+    handleQueryPlugins()
+  }, [handleQueryPlugins])
+
+  const handlePageChange = useCallback(() => {
+    if (pluginsTotal && plugins && pluginsTotal > plugins.length) {
+      setPage(pageRef.current + 1)
+      pageRef.current++
+
+      handleQueryPlugins()
+    }
+  }, [handleQueryPlugins, plugins, pluginsTotal])
+
+  const handleMoreClick = useCallback((searchParams: SearchParamsFromCollection) => {
+    setSearchPluginText(searchParams?.query || '')
+    searchPluginTextRef.current = searchParams?.query || ''
+    setSort({
+      sortBy: searchParams?.sort_by || DEFAULT_SORT.sortBy,
+      sortOrder: searchParams?.sort_order || DEFAULT_SORT.sortOrder,
+    })
+    sortRef.current = {
+      sortBy: searchParams?.sort_by || DEFAULT_SORT.sortBy,
+      sortOrder: searchParams?.sort_order || DEFAULT_SORT.sortOrder,
+    }
+    setPage(1)
+    pageRef.current = 1
+
+    handleQueryPlugins()
+  }, [handleQueryPlugins])
+
+  useMarketplaceContainerScroll(handlePageChange, scrollContainerId)
+
+  return (
+    <MarketplaceContext.Provider
+      value={{
+        intersected,
+        setIntersected,
+        searchPluginText,
+        handleSearchPluginTextChange,
+        filterPluginTags,
+        handleFilterPluginTagsChange,
+        activePluginType,
+        handleActivePluginTypeChange,
+        page,
+        handlePageChange,
+        plugins,
+        pluginsTotal,
+        resetPlugins,
+        sort,
+        handleSortChange,
+        handleQueryPlugins,
+        handleMoreClick,
+        marketplaceCollectionsFromClient,
+        setMarketplaceCollectionsFromClient,
+        marketplaceCollectionPluginsMapFromClient,
+        setMarketplaceCollectionPluginsMapFromClient,
+        isLoading: isLoading || isPluginsLoading,
+        isSuccessCollections,
+      }}
+    >
+      {children}
+    </MarketplaceContext.Provider>
+  )
+}
diff --git a/web/app/components/plugins/marketplace/description/index.tsx b/web/app/components/plugins/marketplace/description/index.tsx
new file mode 100644
index 0000000000..3e500155cf
--- /dev/null
+++ b/web/app/components/plugins/marketplace/description/index.tsx
@@ -0,0 +1,71 @@
+import {
+  getLocaleOnServer,
+  useTranslation as translate,
+} from '@/i18n/server'
+
+type DescriptionProps = {
+  locale?: string
+}
+const Description = async ({
+  locale: localeFromProps,
+}: DescriptionProps) => {
+  const localeDefault = getLocaleOnServer()
+  const { t } = await translate(localeFromProps || localeDefault, 'plugin')
+  const { t: tCommon } = await translate(localeFromProps || localeDefault, 'common')
+  const isZhHans = localeFromProps === 'zh-Hans'
+
+  return (
+    <>
+      <h1 className='shrink-0 mb-2 text-center title-4xl-semi-bold text-text-primary'>
+        {t('marketplace.empower')}
+      </h1>
+      <h2 className='shrink-0 flex justify-center items-center text-center body-md-regular text-text-tertiary'>
+        {
+          isZhHans && (
+            <>
+              <span className='mr-1'>{tCommon('operation.in')}</span>
+              {t('marketplace.difyMarketplace')}
+              {t('marketplace.discover')}
+            </>
+          )
+        }
+        {
+          !isZhHans && (
+            <>
+              {t('marketplace.discover')}
+            </>
+          )
+        }
+        <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]">
+          <span className='relative z-[2] lowercase'>{t('category.models')}</span>
+        </span>
+        ,
+        <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]">
+          <span className='relative z-[2] lowercase'>{t('category.tools')}</span>
+        </span>
+        ,
+        <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]">
+          <span className='relative z-[2] lowercase'>{t('category.agents')}</span>
+        </span>
+        ,
+        <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]">
+          <span className='relative z-[2] lowercase'>{t('category.extensions')}</span>
+        </span>
+        {t('marketplace.and')}
+        <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]">
+          <span className='relative z-[2] lowercase'>{t('category.bundles')}</span>
+        </span>
+        {
+          !isZhHans && (
+            <>
+              <span className='mr-1'>{tCommon('operation.in')}</span>
+              {t('marketplace.difyMarketplace')}
+            </>
+          )
+        }
+      </h2>
+    </>
+  )
+}
+
+export default Description
diff --git a/web/app/components/plugins/marketplace/empty/index.tsx b/web/app/components/plugins/marketplace/empty/index.tsx
new file mode 100644
index 0000000000..c190f0affe
--- /dev/null
+++ b/web/app/components/plugins/marketplace/empty/index.tsx
@@ -0,0 +1,63 @@
+'use client'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+import Line from './line'
+import cn from '@/utils/classnames'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+type Props = {
+  text?: string
+  lightCard?: boolean
+  className?: string
+  locale?: string
+}
+
+const Empty = ({
+  text,
+  lightCard,
+  className,
+  locale,
+}: Props) => {
+  const { t } = useMixedTranslation(locale)
+
+  return (
+    <div
+      className={cn('grow relative h-0 flex flex-wrap p-2 overflow-hidden', className)}
+    >
+      {
+        Array.from({ length: 16 }).map((_, index) => (
+          <div
+            key={index}
+            className={cn(
+              'mr-3 mb-3  h-[144px] w-[calc((100%-36px)/4)] rounded-xl bg-background-section-burn',
+              index % 4 === 3 && 'mr-0',
+              index > 11 && 'mb-0',
+              lightCard && 'bg-background-default-lighter opacity-75',
+            )}
+          >
+          </div>
+        ))
+      }
+      {
+        !lightCard && (
+          <div
+            className='absolute inset-0 bg-marketplace-plugin-empty z-[1]'
+          ></div>
+        )
+      }
+      <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 z-[2] flex flex-col items-center'>
+        <div className='relative flex items-center justify-center mb-3 w-14 h-14 rounded-xl border border-dashed border-divider-deep bg-components-card-bg shadow-lg'>
+          <Group className='w-5 h-5' />
+          <Line className='absolute right-[-1px] top-1/2 -translate-y-1/2' />
+          <Line className='absolute left-[-1px] top-1/2 -translate-y-1/2' />
+          <Line className='absolute top-0 left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' />
+          <Line className='absolute top-full left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' />
+        </div>
+        <div className='text-center system-md-regular text-text-tertiary'>
+          {text || t('plugin.marketplace.noPluginFound')}
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default Empty
diff --git a/web/app/components/plugins/marketplace/empty/line.tsx b/web/app/components/plugins/marketplace/empty/line.tsx
new file mode 100644
index 0000000000..19837aa862
--- /dev/null
+++ b/web/app/components/plugins/marketplace/empty/line.tsx
@@ -0,0 +1,21 @@
+type LineProps = {
+  className?: string
+}
+const Line = ({
+  className,
+}: LineProps) => {
+  return (
+    <svg xmlns="http://www.w3.org/2000/svg" width="2" height="241" viewBox="0 0 2 241" fill="none" className={className}>
+      <path d="M1 0.5L1 240.5" stroke="url(#paint0_linear_1989_74474)"/>
+      <defs>
+        <linearGradient id="paint0_linear_1989_74474" x1="-7.99584" y1="240.5" x2="-7.88094" y2="0.50004" gradientUnits="userSpaceOnUse">
+          <stop stopColor="white" stopOpacity="0.01"/>
+          <stop offset="0.503965" stopColor="#101828" stopOpacity="0.08"/>
+          <stop offset="1" stopColor="white" stopOpacity="0.01"/>
+        </linearGradient>
+      </defs>
+    </svg>
+  )
+}
+
+export default Line
diff --git a/web/app/components/plugins/marketplace/hooks.ts b/web/app/components/plugins/marketplace/hooks.ts
new file mode 100644
index 0000000000..83a6709a47
--- /dev/null
+++ b/web/app/components/plugins/marketplace/hooks.ts
@@ -0,0 +1,176 @@
+import {
+  useCallback,
+  useEffect,
+  useState,
+} from 'react'
+import { useTranslation } from 'react-i18next'
+import { useDebounceFn } from 'ahooks'
+import type {
+  Plugin,
+} from '../types'
+import type {
+  CollectionsAndPluginsSearchParams,
+  MarketplaceCollection,
+  PluginsSearchParams,
+} from './types'
+import {
+  getFormattedPlugin,
+  getMarketplaceCollectionsAndPlugins,
+} from './utils'
+import i18n from '@/i18n/i18next-config'
+import {
+  useMutationPluginsFromMarketplace,
+} from '@/service/use-plugins'
+
+export const useMarketplaceCollectionsAndPlugins = () => {
+  const [isLoading, setIsLoading] = useState(false)
+  const [isSuccess, setIsSuccess] = useState(false)
+  const [marketplaceCollections, setMarketplaceCollections] = useState<MarketplaceCollection[]>()
+  const [marketplaceCollectionPluginsMap, setMarketplaceCollectionPluginsMap] = useState<Record<string, Plugin[]>>()
+
+  const queryMarketplaceCollectionsAndPlugins = useCallback(async (query?: CollectionsAndPluginsSearchParams) => {
+    try {
+      setIsLoading(true)
+      setIsSuccess(false)
+      const { marketplaceCollections, marketplaceCollectionPluginsMap } = await getMarketplaceCollectionsAndPlugins(query)
+      setIsLoading(false)
+      setIsSuccess(true)
+      setMarketplaceCollections(marketplaceCollections)
+      setMarketplaceCollectionPluginsMap(marketplaceCollectionPluginsMap)
+    }
+    // eslint-disable-next-line unused-imports/no-unused-vars
+    catch (e) {
+      setIsLoading(false)
+      setIsSuccess(false)
+    }
+  }, [])
+
+  return {
+    marketplaceCollections,
+    setMarketplaceCollections,
+    marketplaceCollectionPluginsMap,
+    setMarketplaceCollectionPluginsMap,
+    queryMarketplaceCollectionsAndPlugins,
+    isLoading,
+    isSuccess,
+  }
+}
+
+export const useMarketplacePlugins = () => {
+  const {
+    data,
+    mutateAsync,
+    reset,
+    isPending,
+  } = useMutationPluginsFromMarketplace()
+
+  const [prevPlugins, setPrevPlugins] = useState<Plugin[] | undefined>()
+  const resetPlugins = useCallback(() => {
+    reset()
+    setPrevPlugins(undefined)
+  }, [reset])
+  const handleUpdatePlugins = useCallback((pluginsSearchParams: PluginsSearchParams) => {
+    mutateAsync(pluginsSearchParams).then((res) => {
+      const currentPage = pluginsSearchParams.page || 1
+      const resPlugins = res.data.bundles || res.data.plugins
+      if (currentPage > 1) {
+        setPrevPlugins(prevPlugins => [...(prevPlugins || []), ...resPlugins.map((plugin) => {
+          return getFormattedPlugin(plugin)
+        })])
+      }
+      else {
+        setPrevPlugins(resPlugins.map((plugin) => {
+          return getFormattedPlugin(plugin)
+        }))
+      }
+    })
+  }, [mutateAsync])
+  const queryPlugins = useCallback((pluginsSearchParams: PluginsSearchParams) => {
+    handleUpdatePlugins(pluginsSearchParams)
+  }, [handleUpdatePlugins])
+
+  const { run: queryPluginsWithDebounced } = useDebounceFn((pluginsSearchParams: PluginsSearchParams) => {
+    handleUpdatePlugins(pluginsSearchParams)
+  }, {
+    wait: 500,
+  })
+
+  return {
+    plugins: prevPlugins,
+    total: data?.data?.total,
+    resetPlugins,
+    queryPlugins,
+    queryPluginsWithDebounced,
+    isLoading: isPending,
+  }
+}
+
+export const useMixedTranslation = (localeFromOuter?: string) => {
+  let t = useTranslation().t
+
+  if (localeFromOuter)
+    t = i18n.getFixedT(localeFromOuter)
+
+  return {
+    t,
+  }
+}
+
+export const useMarketplaceContainerScroll = (
+  callback: () => void,
+  scrollContainerId = 'marketplace-container',
+) => {
+  const container = document.getElementById(scrollContainerId)
+
+  const handleScroll = useCallback((e: Event) => {
+    const target = e.target as HTMLDivElement
+    const {
+      scrollTop,
+      scrollHeight,
+      clientHeight,
+    } = target
+    if (scrollTop + clientHeight >= scrollHeight - 5 && scrollTop > 0)
+      callback()
+  }, [callback])
+
+  useEffect(() => {
+    if (container)
+      container.addEventListener('scroll', handleScroll)
+
+    return () => {
+      if (container)
+        container.removeEventListener('scroll', handleScroll)
+    }
+  }, [container, handleScroll])
+}
+
+export const useSearchBoxAutoAnimate = (searchBoxAutoAnimate?: boolean) => {
+  const [searchBoxCanAnimate, setSearchBoxCanAnimate] = useState(true)
+
+  const handleSearchBoxCanAnimateChange = useCallback(() => {
+    if (!searchBoxAutoAnimate) {
+      const clientWidth = document.documentElement.clientWidth
+
+      if (clientWidth < 1400)
+        setSearchBoxCanAnimate(false)
+      else
+        setSearchBoxCanAnimate(true)
+    }
+  }, [searchBoxAutoAnimate])
+
+  useEffect(() => {
+    handleSearchBoxCanAnimateChange()
+  }, [handleSearchBoxCanAnimateChange])
+
+  useEffect(() => {
+    window.addEventListener('resize', handleSearchBoxCanAnimateChange)
+
+    return () => {
+      window.removeEventListener('resize', handleSearchBoxCanAnimateChange)
+    }
+  }, [handleSearchBoxCanAnimateChange])
+
+  return {
+    searchBoxCanAnimate,
+  }
+}
diff --git a/web/app/components/plugins/marketplace/index.tsx b/web/app/components/plugins/marketplace/index.tsx
new file mode 100644
index 0000000000..5e6fbeec97
--- /dev/null
+++ b/web/app/components/plugins/marketplace/index.tsx
@@ -0,0 +1,68 @@
+import { MarketplaceContextProvider } from './context'
+import Description from './description'
+import IntersectionLine from './intersection-line'
+import SearchBoxWrapper from './search-box/search-box-wrapper'
+import PluginTypeSwitch from './plugin-type-switch'
+import ListWrapper from './list/list-wrapper'
+import type { SearchParams } from './types'
+import { getMarketplaceCollectionsAndPlugins } from './utils'
+import { TanstackQueryIniter } from '@/context/query-client'
+
+type MarketplaceProps = {
+  locale: string
+  searchBoxAutoAnimate?: boolean
+  showInstallButton?: boolean
+  shouldExclude?: boolean
+  searchParams?: SearchParams
+  pluginTypeSwitchClassName?: string
+  intersectionContainerId?: string
+  scrollContainerId?: string
+}
+const Marketplace = async ({
+  locale,
+  searchBoxAutoAnimate = true,
+  showInstallButton = true,
+  shouldExclude,
+  searchParams,
+  pluginTypeSwitchClassName,
+  intersectionContainerId,
+  scrollContainerId,
+}: MarketplaceProps) => {
+  let marketplaceCollections: any = []
+  let marketplaceCollectionPluginsMap = {}
+  if (!shouldExclude) {
+    const marketplaceCollectionsAndPluginsData = await getMarketplaceCollectionsAndPlugins()
+    marketplaceCollections = marketplaceCollectionsAndPluginsData.marketplaceCollections
+    marketplaceCollectionPluginsMap = marketplaceCollectionsAndPluginsData.marketplaceCollectionPluginsMap
+  }
+
+  return (
+    <TanstackQueryIniter>
+      <MarketplaceContextProvider
+        searchParams={searchParams}
+        shouldExclude={shouldExclude}
+        scrollContainerId={scrollContainerId}
+      >
+        <Description locale={locale} />
+        <IntersectionLine intersectionContainerId={intersectionContainerId} />
+        <SearchBoxWrapper
+          locale={locale}
+          searchBoxAutoAnimate={searchBoxAutoAnimate}
+        />
+        <PluginTypeSwitch
+          locale={locale}
+          className={pluginTypeSwitchClassName}
+          searchBoxAutoAnimate={searchBoxAutoAnimate}
+        />
+        <ListWrapper
+          locale={locale}
+          marketplaceCollections={marketplaceCollections}
+          marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap}
+          showInstallButton={showInstallButton}
+        />
+      </MarketplaceContextProvider>
+    </TanstackQueryIniter>
+  )
+}
+
+export default Marketplace
diff --git a/web/app/components/plugins/marketplace/intersection-line/hooks.ts b/web/app/components/plugins/marketplace/intersection-line/hooks.ts
new file mode 100644
index 0000000000..fe30b707cb
--- /dev/null
+++ b/web/app/components/plugins/marketplace/intersection-line/hooks.ts
@@ -0,0 +1,30 @@
+import { useEffect } from 'react'
+import { useMarketplaceContext } from '@/app/components/plugins/marketplace/context'
+
+export const useScrollIntersection = (
+  anchorRef: React.RefObject<HTMLDivElement>,
+  intersectionContainerId = 'marketplace-container',
+) => {
+  const intersected = useMarketplaceContext(v => v.intersected)
+  const setIntersected = useMarketplaceContext(v => v.setIntersected)
+
+  useEffect(() => {
+    const container = document.getElementById(intersectionContainerId)
+    let observer: IntersectionObserver | undefined
+    if (container && anchorRef.current) {
+      observer = new IntersectionObserver((entries) => {
+        const isIntersecting = entries[0].isIntersecting
+
+        if (isIntersecting && !intersected)
+          setIntersected(true)
+
+        if (!isIntersecting && intersected)
+          setIntersected(false)
+      }, {
+        root: container,
+      })
+      observer.observe(anchorRef.current)
+    }
+    return () => observer?.disconnect()
+  }, [anchorRef, intersected, setIntersected, intersectionContainerId])
+}
diff --git a/web/app/components/plugins/marketplace/intersection-line/index.tsx b/web/app/components/plugins/marketplace/intersection-line/index.tsx
new file mode 100644
index 0000000000..94f592410a
--- /dev/null
+++ b/web/app/components/plugins/marketplace/intersection-line/index.tsx
@@ -0,0 +1,21 @@
+'use client'
+
+import { useRef } from 'react'
+import { useScrollIntersection } from './hooks'
+
+type IntersectionLineProps = {
+  intersectionContainerId?: string
+}
+const IntersectionLine = ({
+  intersectionContainerId,
+}: IntersectionLineProps) => {
+  const ref = useRef<HTMLDivElement>(null)
+
+  useScrollIntersection(ref, intersectionContainerId)
+
+  return (
+    <div ref={ref} className='shrink-0 mb-4 h-[1px] bg-transparent'></div>
+  )
+}
+
+export default IntersectionLine
diff --git a/web/app/components/plugins/marketplace/list/card-wrapper.tsx b/web/app/components/plugins/marketplace/list/card-wrapper.tsx
new file mode 100644
index 0000000000..a379102efd
--- /dev/null
+++ b/web/app/components/plugins/marketplace/list/card-wrapper.tsx
@@ -0,0 +1,103 @@
+'use client'
+import { RiArrowRightUpLine } from '@remixicon/react'
+import { getPluginLinkInMarketplace } from '../utils'
+import Card from '@/app/components/plugins/card'
+import CardMoreInfo from '@/app/components/plugins/card/card-more-info'
+import type { Plugin } from '@/app/components/plugins/types'
+import Button from '@/app/components/base/button'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace'
+import { useBoolean } from 'ahooks'
+import { useI18N } from '@/context/i18n'
+import { useTags } from '@/app/components/plugins/hooks'
+
+type CardWrapperProps = {
+  plugin: Plugin
+  showInstallButton?: boolean
+  locale?: string
+}
+const CardWrapper = ({
+  plugin,
+  showInstallButton,
+  locale,
+}: CardWrapperProps) => {
+  const { t } = useMixedTranslation(locale)
+  const [isShowInstallFromMarketplace, {
+    setTrue: showInstallFromMarketplace,
+    setFalse: hideInstallFromMarketplace,
+  }] = useBoolean(false)
+  const { locale: localeFromLocale } = useI18N()
+  const { tagsMap } = useTags(t)
+
+  if (showInstallButton) {
+    return (
+      <div
+        className='group relative rounded-xl cursor-pointer  hover:bg-components-panel-on-panel-item-bg-hover'
+      >
+        <Card
+          key={plugin.name}
+          payload={plugin}
+          locale={locale}
+          footer={
+            <CardMoreInfo
+              downloadCount={plugin.install_count}
+              tags={plugin.tags.map(tag => tagsMap[tag.name].label)}
+            />
+          }
+        />
+        {
+          showInstallButton && (
+            <div className='hidden absolute bottom-0 group-hover:flex items-center space-x-2 px-4 pt-8 pb-4 w-full bg-gradient-to-tr from-components-panel-on-panel-item-bg to-background-gradient-mask-transparent rounded-b-xl'>
+              <Button
+                variant='primary'
+                className='w-[calc(50%-4px)]'
+                onClick={showInstallFromMarketplace}
+              >
+                {t('plugin.detailPanel.operation.install')}
+              </Button>
+              <a href={`${getPluginLinkInMarketplace(plugin)}?language=${localeFromLocale}`} target='_blank' className='block flex-1 shrink-0 w-[calc(50%-4px)]'>
+                <Button
+                  className='w-full gap-0.5'
+                >
+                  {t('plugin.detailPanel.operation.detail')}
+                  <RiArrowRightUpLine className='ml-1 w-4 h-4' />
+                </Button>
+              </a>
+            </div>
+          )
+        }
+        {
+          isShowInstallFromMarketplace && (
+            <InstallFromMarketplace
+              manifest={plugin as any}
+              uniqueIdentifier={plugin.latest_package_identifier}
+              onClose={hideInstallFromMarketplace}
+              onSuccess={hideInstallFromMarketplace}
+            />
+          )
+        }
+      </div>
+    )
+  }
+
+  return (
+    <a
+      className='group inline-block relative rounded-xl cursor-pointer'
+      href={getPluginLinkInMarketplace(plugin)}
+    >
+      <Card
+        key={plugin.name}
+        payload={plugin}
+        locale={locale}
+        footer={
+          <CardMoreInfo
+            downloadCount={plugin.install_count}
+            tags={plugin.tags.map(tag => tagsMap[tag.name].label)}
+          />
+        }
+      />
+    </a>
+  )
+}
+
+export default CardWrapper
diff --git a/web/app/components/plugins/marketplace/list/index.tsx b/web/app/components/plugins/marketplace/list/index.tsx
new file mode 100644
index 0000000000..673f37e642
--- /dev/null
+++ b/web/app/components/plugins/marketplace/list/index.tsx
@@ -0,0 +1,79 @@
+'use client'
+import type { Plugin } from '../../types'
+import type { MarketplaceCollection } from '../types'
+import ListWithCollection from './list-with-collection'
+import CardWrapper from './card-wrapper'
+import Empty from '../empty'
+import cn from '@/utils/classnames'
+
+type ListProps = {
+  marketplaceCollections: MarketplaceCollection[]
+  marketplaceCollectionPluginsMap: Record<string, Plugin[]>
+  plugins?: Plugin[]
+  showInstallButton?: boolean
+  locale: string
+  cardContainerClassName?: string
+  cardRender?: (plugin: Plugin) => JSX.Element | null
+  onMoreClick?: () => void
+  emptyClassName?: string
+}
+const List = ({
+  marketplaceCollections,
+  marketplaceCollectionPluginsMap,
+  plugins,
+  showInstallButton,
+  locale,
+  cardContainerClassName,
+  cardRender,
+  onMoreClick,
+  emptyClassName,
+}: ListProps) => {
+  return (
+    <>
+      {
+        !plugins && (
+          <ListWithCollection
+            marketplaceCollections={marketplaceCollections}
+            marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap}
+            showInstallButton={showInstallButton}
+            locale={locale}
+            cardContainerClassName={cardContainerClassName}
+            cardRender={cardRender}
+            onMoreClick={onMoreClick}
+          />
+        )
+      }
+      {
+        plugins && !!plugins.length && (
+          <div className={cn(
+            'grid grid-cols-4 gap-3',
+            cardContainerClassName,
+          )}>
+            {
+              plugins.map((plugin) => {
+                if (cardRender)
+                  return cardRender(plugin)
+
+                return (
+                  <CardWrapper
+                    key={plugin.name}
+                    plugin={plugin}
+                    showInstallButton={showInstallButton}
+                    locale={locale}
+                  />
+                )
+              })
+            }
+          </div>
+        )
+      }
+      {
+        plugins && !plugins.length && (
+          <Empty className={emptyClassName} locale={locale} />
+        )
+      }
+    </>
+  )
+}
+
+export default List
diff --git a/web/app/components/plugins/marketplace/list/list-with-collection.tsx b/web/app/components/plugins/marketplace/list/list-with-collection.tsx
new file mode 100644
index 0000000000..aed84d77dd
--- /dev/null
+++ b/web/app/components/plugins/marketplace/list/list-with-collection.tsx
@@ -0,0 +1,84 @@
+'use client'
+
+import { RiArrowRightSLine } from '@remixicon/react'
+import type { MarketplaceCollection } from '../types'
+import CardWrapper from './card-wrapper'
+import type { Plugin } from '@/app/components/plugins/types'
+import { getLanguage } from '@/i18n/language'
+import cn from '@/utils/classnames'
+import type { SearchParamsFromCollection } from '@/app/components/plugins/marketplace/types'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+type ListWithCollectionProps = {
+  marketplaceCollections: MarketplaceCollection[]
+  marketplaceCollectionPluginsMap: Record<string, Plugin[]>
+  showInstallButton?: boolean
+  locale: string
+  cardContainerClassName?: string
+  cardRender?: (plugin: Plugin) => JSX.Element | null
+  onMoreClick?: (searchParams?: SearchParamsFromCollection) => void
+}
+const ListWithCollection = ({
+  marketplaceCollections,
+  marketplaceCollectionPluginsMap,
+  showInstallButton,
+  locale,
+  cardContainerClassName,
+  cardRender,
+  onMoreClick,
+}: ListWithCollectionProps) => {
+  const { t } = useMixedTranslation(locale)
+
+  return (
+    <>
+      {
+        marketplaceCollections.map(collection => (
+          <div
+            key={collection.name}
+            className='py-3'
+          >
+            <div className='flex justify-between items-end'>
+              <div>
+                <div className='title-xl-semi-bold text-text-primary'>{collection.label[getLanguage(locale)]}</div>
+                <div className='system-xs-regular text-text-tertiary'>{collection.description[getLanguage(locale)]}</div>
+              </div>
+              {
+                collection.searchable && onMoreClick && (
+                  <div
+                    className='flex items-center system-xs-medium text-text-accent cursor-pointer '
+                    onClick={() => onMoreClick?.(collection.search_params)}
+                  >
+                    {t('plugin.marketplace.viewMore')}
+                    <RiArrowRightSLine className='w-4 h-4' />
+                  </div>
+                )
+              }
+            </div>
+            <div className={cn(
+              'grid grid-cols-4 gap-3 mt-2',
+              cardContainerClassName,
+            )}>
+              {
+                marketplaceCollectionPluginsMap[collection.name].map((plugin) => {
+                  if (cardRender)
+                    return cardRender(plugin)
+
+                  return (
+                    <CardWrapper
+                      key={plugin.name}
+                      plugin={plugin}
+                      showInstallButton={showInstallButton}
+                      locale={locale}
+                    />
+                  )
+                })
+              }
+            </div>
+          </div>
+        ))
+      }
+    </>
+  )
+}
+
+export default ListWithCollection
diff --git a/web/app/components/plugins/marketplace/list/list-wrapper.tsx b/web/app/components/plugins/marketplace/list/list-wrapper.tsx
new file mode 100644
index 0000000000..761adee5f8
--- /dev/null
+++ b/web/app/components/plugins/marketplace/list/list-wrapper.tsx
@@ -0,0 +1,73 @@
+'use client'
+import { useEffect } from 'react'
+import type { Plugin } from '../../types'
+import type { MarketplaceCollection } from '../types'
+import { useMarketplaceContext } from '../context'
+import List from './index'
+import SortDropdown from '../sort-dropdown'
+import Loading from '@/app/components/base/loading'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+type ListWrapperProps = {
+  marketplaceCollections: MarketplaceCollection[]
+  marketplaceCollectionPluginsMap: Record<string, Plugin[]>
+  showInstallButton?: boolean
+  locale: string
+}
+const ListWrapper = ({
+  marketplaceCollections,
+  marketplaceCollectionPluginsMap,
+  showInstallButton,
+  locale,
+}: ListWrapperProps) => {
+  const { t } = useMixedTranslation(locale)
+  const plugins = useMarketplaceContext(v => v.plugins)
+  const pluginsTotal = useMarketplaceContext(v => v.pluginsTotal)
+  const marketplaceCollectionsFromClient = useMarketplaceContext(v => v.marketplaceCollectionsFromClient)
+  const marketplaceCollectionPluginsMapFromClient = useMarketplaceContext(v => v.marketplaceCollectionPluginsMapFromClient)
+  const isLoading = useMarketplaceContext(v => v.isLoading)
+  const isSuccessCollections = useMarketplaceContext(v => v.isSuccessCollections)
+  const handleQueryPlugins = useMarketplaceContext(v => v.handleQueryPlugins)
+  const page = useMarketplaceContext(v => v.page)
+  const handleMoreClick = useMarketplaceContext(v => v.handleMoreClick)
+
+  useEffect(() => {
+    if (!marketplaceCollectionsFromClient?.length && isSuccessCollections)
+      handleQueryPlugins()
+  }, [handleQueryPlugins, marketplaceCollections, marketplaceCollectionsFromClient, isSuccessCollections])
+
+  return (
+    <div className='relative flex flex-col grow px-12 py-2 bg-background-default-subtle'>
+      {
+        plugins && (
+          <div className='flex items-center mb-4 pt-3'>
+            <div className='title-xl-semi-bold text-text-primary'>{t('plugin.marketplace.pluginsResult', { num: pluginsTotal })}</div>
+            <div className='mx-3 w-[1px] h-3.5 bg-divider-regular'></div>
+            <SortDropdown locale={locale} />
+          </div>
+        )
+      }
+      {
+        isLoading && page === 1 && (
+          <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'>
+            <Loading />
+          </div>
+        )
+      }
+      {
+        (!isLoading || page > 1) && (
+          <List
+            marketplaceCollections={marketplaceCollectionsFromClient || marketplaceCollections}
+            marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMapFromClient || marketplaceCollectionPluginsMap}
+            plugins={plugins}
+            showInstallButton={showInstallButton}
+            locale={locale}
+            onMoreClick={handleMoreClick}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+export default ListWrapper
diff --git a/web/app/components/plugins/marketplace/plugin-type-switch.tsx b/web/app/components/plugins/marketplace/plugin-type-switch.tsx
new file mode 100644
index 0000000000..0be1c9f535
--- /dev/null
+++ b/web/app/components/plugins/marketplace/plugin-type-switch.tsx
@@ -0,0 +1,100 @@
+'use client'
+import {
+  RiArchive2Line,
+  RiBrain2Line,
+  RiHammerLine,
+  RiPuzzle2Line,
+  RiSpeakAiLine,
+} from '@remixicon/react'
+import { PluginType } from '../types'
+import { useMarketplaceContext } from './context'
+import {
+  useMixedTranslation,
+  useSearchBoxAutoAnimate,
+} from './hooks'
+import cn from '@/utils/classnames'
+
+export const PLUGIN_TYPE_SEARCH_MAP = {
+  all: 'all',
+  model: PluginType.model,
+  tool: PluginType.tool,
+  agent: PluginType.agent,
+  extension: PluginType.extension,
+  bundle: 'bundle',
+}
+type PluginTypeSwitchProps = {
+  locale?: string
+  className?: string
+  searchBoxAutoAnimate?: boolean
+}
+const PluginTypeSwitch = ({
+  locale,
+  className,
+  searchBoxAutoAnimate,
+}: PluginTypeSwitchProps) => {
+  const { t } = useMixedTranslation(locale)
+  const activePluginType = useMarketplaceContext(s => s.activePluginType)
+  const handleActivePluginTypeChange = useMarketplaceContext(s => s.handleActivePluginTypeChange)
+  const { searchBoxCanAnimate } = useSearchBoxAutoAnimate(searchBoxAutoAnimate)
+
+  const options = [
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.all,
+      text: t('plugin.category.all'),
+      icon: null,
+    },
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.model,
+      text: t('plugin.category.models'),
+      icon: <RiBrain2Line className='mr-1.5 w-4 h-4' />,
+    },
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.tool,
+      text: t('plugin.category.tools'),
+      icon: <RiHammerLine className='mr-1.5 w-4 h-4' />,
+    },
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.agent,
+      text: t('plugin.category.agents'),
+      icon: <RiSpeakAiLine className='mr-1.5 w-4 h-4' />,
+    },
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.extension,
+      text: t('plugin.category.extensions'),
+      icon: <RiPuzzle2Line className='mr-1.5 w-4 h-4' />,
+    },
+    {
+      value: PLUGIN_TYPE_SEARCH_MAP.bundle,
+      text: t('plugin.category.bundles'),
+      icon: <RiArchive2Line className='mr-1.5 w-4 h-4' />,
+    },
+  ]
+
+  return (
+    <div className={cn(
+      'shrink-0 flex items-center justify-center py-3 bg-background-body space-x-2',
+      searchBoxCanAnimate && 'sticky top-[56px] z-10',
+      className,
+    )}>
+      {
+        options.map(option => (
+          <div
+            key={option.value}
+            className={cn(
+              'flex items-center px-3 h-8 border border-transparent rounded-xl cursor-pointer hover:bg-state-base-hover hover:text-text-secondary system-md-medium text-text-tertiary',
+              activePluginType === option.value && 'border-components-main-nav-nav-button-border !bg-components-main-nav-nav-button-bg-active !text-components-main-nav-nav-button-text-active shadow-xs',
+            )}
+            onClick={() => {
+              handleActivePluginTypeChange(option.value)
+            }}
+          >
+            {option.icon}
+            {option.text}
+          </div>
+        ))
+      }
+    </div>
+  )
+}
+
+export default PluginTypeSwitch
diff --git a/web/app/components/plugins/marketplace/search-box/index.tsx b/web/app/components/plugins/marketplace/search-box/index.tsx
new file mode 100644
index 0000000000..61fff2c7a9
--- /dev/null
+++ b/web/app/components/plugins/marketplace/search-box/index.tsx
@@ -0,0 +1,70 @@
+'use client'
+import { RiCloseLine } from '@remixicon/react'
+import TagsFilter from './tags-filter'
+import ActionButton from '@/app/components/base/action-button'
+import cn from '@/utils/classnames'
+
+type SearchBoxProps = {
+  search: string
+  onSearchChange: (search: string) => void
+  inputClassName?: string
+  tags: string[]
+  onTagsChange: (tags: string[]) => void
+  size?: 'small' | 'large'
+  placeholder?: string
+  locale?: string
+}
+const SearchBox = ({
+  search,
+  onSearchChange,
+  inputClassName,
+  tags,
+  onTagsChange,
+  size = 'small',
+  placeholder = '',
+  locale,
+}: SearchBoxProps) => {
+  return (
+    <div
+      className={cn(
+        'flex items-center z-[11]',
+        size === 'large' && 'p-1.5 bg-components-panel-bg-blur rounded-xl shadow-md border border-components-chat-input-border',
+        size === 'small' && 'p-0.5 bg-components-input-bg-normal rounded-lg',
+        inputClassName,
+      )}
+    >
+      <TagsFilter
+        tags={tags}
+        onTagsChange={onTagsChange}
+        size={size}
+        locale={locale}
+      />
+      <div className='mx-1 w-[1px] h-3.5 bg-divider-regular'></div>
+      <div className='relative grow flex items-center p-1 pl-2'>
+        <div className='flex items-center mr-2 w-full'>
+          <input
+            className={cn(
+              'grow block outline-none appearance-none body-md-medium text-text-secondary bg-transparent',
+            )}
+            value={search}
+            onChange={(e) => {
+              onSearchChange(e.target.value)
+            }}
+            placeholder={placeholder}
+          />
+          {
+            search && (
+              <div className='absolute right-2 top-1/2 -translate-y-1/2'>
+                <ActionButton onClick={() => onSearchChange('')}>
+                  <RiCloseLine className='w-4 h-4' />
+                </ActionButton>
+              </div>
+            )
+          }
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default SearchBox
diff --git a/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx b/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx
new file mode 100644
index 0000000000..beb1c947fd
--- /dev/null
+++ b/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx
@@ -0,0 +1,45 @@
+'use client'
+
+import { useMarketplaceContext } from '../context'
+import {
+  useMixedTranslation,
+  useSearchBoxAutoAnimate,
+} from '../hooks'
+import SearchBox from './index'
+import cn from '@/utils/classnames'
+
+type SearchBoxWrapperProps = {
+  locale?: string
+  searchBoxAutoAnimate?: boolean
+}
+const SearchBoxWrapper = ({
+  locale,
+  searchBoxAutoAnimate,
+}: SearchBoxWrapperProps) => {
+  const { t } = useMixedTranslation(locale)
+  const intersected = useMarketplaceContext(v => v.intersected)
+  const searchPluginText = useMarketplaceContext(v => v.searchPluginText)
+  const handleSearchPluginTextChange = useMarketplaceContext(v => v.handleSearchPluginTextChange)
+  const filterPluginTags = useMarketplaceContext(v => v.filterPluginTags)
+  const handleFilterPluginTagsChange = useMarketplaceContext(v => v.handleFilterPluginTagsChange)
+  const { searchBoxCanAnimate } = useSearchBoxAutoAnimate(searchBoxAutoAnimate)
+
+  return (
+    <SearchBox
+      inputClassName={cn(
+        'mx-auto w-[640px] shrink-0 z-[0]',
+        searchBoxCanAnimate && 'sticky top-3 z-[11]',
+        !intersected && searchBoxCanAnimate && 'w-[508px] transition-[width] duration-300',
+      )}
+      search={searchPluginText}
+      onSearchChange={handleSearchPluginTextChange}
+      tags={filterPluginTags}
+      onTagsChange={handleFilterPluginTagsChange}
+      size='large'
+      locale={locale}
+      placeholder={t('plugin.searchPlugins')}
+    />
+  )
+}
+
+export default SearchBoxWrapper
diff --git a/web/app/components/plugins/marketplace/search-box/tags-filter.tsx b/web/app/components/plugins/marketplace/search-box/tags-filter.tsx
new file mode 100644
index 0000000000..dec07d0319
--- /dev/null
+++ b/web/app/components/plugins/marketplace/search-box/tags-filter.tsx
@@ -0,0 +1,138 @@
+'use client'
+
+import { useState } from 'react'
+import {
+  RiArrowDownSLine,
+  RiCloseCircleFill,
+  RiFilter3Line,
+} from '@remixicon/react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Checkbox from '@/app/components/base/checkbox'
+import cn from '@/utils/classnames'
+import Input from '@/app/components/base/input'
+import { useTags } from '@/app/components/plugins/hooks'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+type TagsFilterProps = {
+  tags: string[]
+  onTagsChange: (tags: string[]) => void
+  size: 'small' | 'large'
+  locale?: string
+}
+const TagsFilter = ({
+  tags,
+  onTagsChange,
+  size,
+  locale,
+}: TagsFilterProps) => {
+  const { t } = useMixedTranslation(locale)
+  const [open, setOpen] = useState(false)
+  const [searchText, setSearchText] = useState('')
+  const { tags: options, tagsMap } = useTags(t)
+  const filteredOptions = options.filter(option => option.label.toLowerCase().includes(searchText.toLowerCase()))
+  const handleCheck = (id: string) => {
+    if (tags.includes(id))
+      onTagsChange(tags.filter((tag: string) => tag !== id))
+    else
+      onTagsChange([...tags, id])
+  }
+  const selectedTagsLength = tags.length
+
+  return (
+    <PortalToFollowElem
+      placement='bottom-start'
+      offset={{
+        mainAxis: 4,
+        crossAxis: -6,
+      }}
+      open={open}
+      onOpenChange={setOpen}
+    >
+      <PortalToFollowElemTrigger
+        className='shrink-0'
+        onClick={() => setOpen(v => !v)}
+      >
+        <div className={cn(
+          'flex items-center text-text-tertiary rounded-lg hover:bg-state-base-hover cursor-pointer',
+          size === 'large' && 'px-2 py-1 h-8',
+          size === 'small' && 'pr-1.5 py-0.5 h-7 pl-1 ',
+          selectedTagsLength && 'text-text-secondary',
+          open && 'bg-state-base-hover',
+        )}>
+          <div className='p-0.5'>
+            <RiFilter3Line className='w-4 h-4' />
+          </div>
+          <div className={cn(
+            'flex items-center p-1 system-sm-medium',
+            size === 'large' && 'p-1',
+            size === 'small' && 'px-0.5 py-1',
+          )}>
+            {
+              !selectedTagsLength && t('pluginTags.allTags')
+            }
+            {
+              !!selectedTagsLength && tags.map(tag => tagsMap[tag].label).slice(0, 2).join(',')
+            }
+            {
+              selectedTagsLength > 2 && (
+                <div className='ml-1 system-xs-medium text-text-tertiary'>
+                  +{selectedTagsLength - 2}
+                </div>
+              )
+            }
+          </div>
+          {
+            !!selectedTagsLength && (
+              <RiCloseCircleFill
+                className='w-4 h-4 text-text-quaternary cursor-pointer'
+                onClick={() => onTagsChange([])}
+              />
+            )
+          }
+          {
+            !selectedTagsLength && (
+              <RiArrowDownSLine className='w-4 h-4' />
+            )
+          }
+        </div>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent className='z-[1000]'>
+        <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'>
+          <div className='p-2 pb-1'>
+            <Input
+              showLeftIcon
+              value={searchText}
+              onChange={e => setSearchText(e.target.value)}
+              placeholder={t('pluginTags.searchTags') || ''}
+            />
+          </div>
+          <div className='p-1 max-h-[448px] overflow-y-auto'>
+            {
+              filteredOptions.map(option => (
+                <div
+                  key={option.name}
+                  className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover'
+                  onClick={() => handleCheck(option.name)}
+                >
+                  <Checkbox
+                    className='mr-1'
+                    checked={tags.includes(option.name)}
+                  />
+                  <div className='px-1 system-sm-medium text-text-secondary'>
+                    {option.label}
+                  </div>
+                </div>
+              ))
+            }
+          </div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default TagsFilter
diff --git a/web/app/components/plugins/marketplace/sort-dropdown/index.tsx b/web/app/components/plugins/marketplace/sort-dropdown/index.tsx
new file mode 100644
index 0000000000..b39cbe86ce
--- /dev/null
+++ b/web/app/components/plugins/marketplace/sort-dropdown/index.tsx
@@ -0,0 +1,94 @@
+'use client'
+import { useState } from 'react'
+import {
+  RiArrowDownSLine,
+  RiCheckLine,
+} from '@remixicon/react'
+import { useMarketplaceContext } from '../context'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks'
+
+type SortDropdownProps = {
+  locale?: string
+}
+const SortDropdown = ({
+  locale,
+}: SortDropdownProps) => {
+  const { t } = useMixedTranslation(locale)
+  const options = [
+    {
+      value: 'install_count',
+      order: 'DESC',
+      text: t('plugin.marketplace.sortOption.mostPopular'),
+    },
+    {
+      value: 'version_updated_at',
+      order: 'DESC',
+      text: t('plugin.marketplace.sortOption.recentlyUpdated'),
+    },
+    {
+      value: 'created_at',
+      order: 'DESC',
+      text: t('plugin.marketplace.sortOption.newlyReleased'),
+    },
+    {
+      value: 'created_at',
+      order: 'ASC',
+      text: t('plugin.marketplace.sortOption.firstReleased'),
+    },
+  ]
+  const sort = useMarketplaceContext(v => v.sort)
+  const handleSortChange = useMarketplaceContext(v => v.handleSortChange)
+  const [open, setOpen] = useState(false)
+  const selectedOption = options.find(option => option.value === sort.sortBy && option.order === sort.sortOrder)!
+
+  return (
+    <PortalToFollowElem
+      placement='bottom-start'
+      offset={{
+        mainAxis: 4,
+        crossAxis: 0,
+      }}
+      open={open}
+      onOpenChange={setOpen}
+    >
+      <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}>
+        <div className='flex items-center px-2 pr-3 h-8 rounded-lg bg-state-base-hover-alt cursor-pointer'>
+          <span className='mr-1 system-sm-regular text-text-secondary'>
+            {t('plugin.marketplace.sortBy')}
+          </span>
+          <span className='mr-1 system-sm-medium text-text-primary'>
+            {selectedOption.text}
+          </span>
+          <RiArrowDownSLine className='w-4 h-4 text-text-tertiary' />
+        </div>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent>
+        <div className='p-1 rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur backdrop-blur-sm shadow-lg'>
+          {
+            options.map(option => (
+              <div
+                key={`${option.value}-${option.order}`}
+                className='flex items-center justify-between px-3 pr-2 h-8 cursor-pointer system-md-regular text-text-primary rounded-lg hover:bg-components-panel-on-panel-item-bg-hover'
+                onClick={() => handleSortChange({ sortBy: option.value, sortOrder: option.order })}
+              >
+                {option.text}
+                {
+                  sort.sortBy === option.value && sort.sortOrder === option.order && (
+                    <RiCheckLine className='ml-2 w-4 h-4 text-text-accent' />
+                  )
+                }
+              </div>
+            ))
+          }
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default SortDropdown
diff --git a/web/app/components/plugins/marketplace/types.ts b/web/app/components/plugins/marketplace/types.ts
new file mode 100644
index 0000000000..4145f69248
--- /dev/null
+++ b/web/app/components/plugins/marketplace/types.ts
@@ -0,0 +1,59 @@
+import type { Plugin } from '../types'
+
+export type SearchParamsFromCollection = {
+  query?: string
+  sort_by?: string
+  sort_order?: string
+}
+
+export type MarketplaceCollection = {
+  name: string
+  label: Record<string, string>
+  description: Record<string, string>
+  rule: string
+  created_at: string
+  updated_at: string
+  searchable?: boolean
+  search_params?: SearchParamsFromCollection
+}
+
+export type MarketplaceCollectionsResponse = {
+  collections: MarketplaceCollection[]
+  total: number
+}
+
+export type MarketplaceCollectionPluginsResponse = {
+  plugins: Plugin[]
+  total: number
+}
+
+export type PluginsSearchParams = {
+  query: string
+  page?: number
+  pageSize?: number
+  sortBy?: string
+  sortOrder?: string
+  category?: string
+  tags?: string[]
+  exclude?: string[]
+  type?: 'plugin' | 'bundle'
+}
+
+export type PluginsSort = {
+  sortBy: string
+  sortOrder: string
+}
+
+export type CollectionsAndPluginsSearchParams = {
+  category?: string
+  condition?: string
+  exclude?: string[]
+  type?: 'plugin' | 'bundle'
+}
+
+export type SearchParams = {
+  language?: string
+  q?: string
+  tags?: string
+  category?: string
+}
diff --git a/web/app/components/plugins/marketplace/utils.ts b/web/app/components/plugins/marketplace/utils.ts
new file mode 100644
index 0000000000..0c00a98d6d
--- /dev/null
+++ b/web/app/components/plugins/marketplace/utils.ts
@@ -0,0 +1,127 @@
+import { PLUGIN_TYPE_SEARCH_MAP } from './plugin-type-switch'
+import type { Plugin } from '@/app/components/plugins/types'
+import { PluginType } from '@/app/components/plugins/types'
+import type {
+  CollectionsAndPluginsSearchParams,
+  MarketplaceCollection,
+} from '@/app/components/plugins/marketplace/types'
+import {
+  MARKETPLACE_API_PREFIX,
+  MARKETPLACE_URL_PREFIX,
+} from '@/config'
+
+export const getPluginIconInMarketplace = (plugin: Plugin) => {
+  if (plugin.type === 'bundle')
+    return `${MARKETPLACE_API_PREFIX}/bundles/${plugin.org}/${plugin.name}/icon`
+  return `${MARKETPLACE_API_PREFIX}/plugins/${plugin.org}/${plugin.name}/icon`
+}
+
+export const getFormattedPlugin = (bundle: any) => {
+  if (bundle.type === 'bundle') {
+    return {
+      ...bundle,
+      icon: getPluginIconInMarketplace(bundle),
+      brief: bundle.description,
+      label: bundle.labels,
+    }
+  }
+  return {
+    ...bundle,
+    icon: getPluginIconInMarketplace(bundle),
+  }
+}
+
+export const getPluginLinkInMarketplace = (plugin: Plugin) => {
+  if (plugin.type === 'bundle')
+    return `${MARKETPLACE_URL_PREFIX}/bundles/${plugin.org}/${plugin.name}`
+  return `${MARKETPLACE_URL_PREFIX}/plugins/${plugin.org}/${plugin.name}`
+}
+
+export const getMarketplacePluginsByCollectionId = async (collectionId: string, query?: CollectionsAndPluginsSearchParams) => {
+  let plugins = [] as Plugin[]
+
+  try {
+    const url = `${MARKETPLACE_API_PREFIX}/collections/${collectionId}/plugins`
+    const marketplaceCollectionPluginsData = await globalThis.fetch(
+      url,
+      {
+        cache: 'no-store',
+        method: 'POST',
+        body: JSON.stringify({
+          category: query?.category,
+          exclude: query?.exclude,
+          type: query?.type,
+        }),
+      },
+    )
+    const marketplaceCollectionPluginsDataJson = await marketplaceCollectionPluginsData.json()
+    plugins = marketplaceCollectionPluginsDataJson.data.plugins.map((plugin: Plugin) => {
+      return getFormattedPlugin(plugin)
+    })
+  }
+  // eslint-disable-next-line unused-imports/no-unused-vars
+  catch (e) {
+    plugins = []
+  }
+
+  return plugins
+}
+
+export const getMarketplaceCollectionsAndPlugins = async (query?: CollectionsAndPluginsSearchParams) => {
+  let marketplaceCollections = [] as MarketplaceCollection[]
+  let marketplaceCollectionPluginsMap = {} as Record<string, Plugin[]>
+  try {
+    let marketplaceUrl = `${MARKETPLACE_API_PREFIX}/collections?page=1&page_size=100`
+    if (query?.condition)
+      marketplaceUrl += `&condition=${query.condition}`
+    if (query?.type)
+      marketplaceUrl += `&type=${query.type}`
+    const marketplaceCollectionsData = await globalThis.fetch(marketplaceUrl, { cache: 'no-store' })
+    const marketplaceCollectionsDataJson = await marketplaceCollectionsData.json()
+    marketplaceCollections = marketplaceCollectionsDataJson.data.collections
+    await Promise.all(marketplaceCollections.map(async (collection: MarketplaceCollection) => {
+      const plugins = await getMarketplacePluginsByCollectionId(collection.name, query)
+
+      marketplaceCollectionPluginsMap[collection.name] = plugins
+    }))
+  }
+  // eslint-disable-next-line unused-imports/no-unused-vars
+  catch (e) {
+    marketplaceCollections = []
+    marketplaceCollectionPluginsMap = {}
+  }
+
+  return {
+    marketplaceCollections,
+    marketplaceCollectionPluginsMap,
+  }
+}
+
+export const getMarketplaceListCondition = (pluginType: string) => {
+  if (pluginType === PluginType.tool)
+    return 'category=tool'
+
+  if (pluginType === PluginType.agent)
+    return 'category=agent-strategy'
+
+  if (pluginType === PluginType.model)
+    return 'category=model'
+
+  if (pluginType === PluginType.extension)
+    return 'category=endpoint'
+
+  if (pluginType === 'bundle')
+    return 'type=bundle'
+
+  return ''
+}
+
+export const getMarketplaceListFilterType = (category: string) => {
+  if (category === PLUGIN_TYPE_SEARCH_MAP.all)
+    return undefined
+
+  if (category === PLUGIN_TYPE_SEARCH_MAP.bundle)
+    return 'bundle'
+
+  return 'plugin'
+}
diff --git a/web/app/components/plugins/permission-setting-modal/modal.tsx b/web/app/components/plugins/permission-setting-modal/modal.tsx
new file mode 100644
index 0000000000..b5eaa4765c
--- /dev/null
+++ b/web/app/components/plugins/permission-setting-modal/modal.tsx
@@ -0,0 +1,93 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import Modal from '@/app/components/base/modal'
+import OptionCard from '@/app/components/workflow/nodes/_base/components/option-card'
+import Button from '@/app/components/base/button'
+import type { Permissions } from '@/app/components/plugins/types'
+import { PermissionType } from '@/app/components/plugins/types'
+
+const i18nPrefix = 'plugin.privilege'
+type Props = {
+  payload: Permissions
+  onHide: () => void
+  onSave: (payload: Permissions) => void
+}
+
+const PluginSettingModal: FC<Props> = ({
+  payload,
+  onHide,
+  onSave,
+}) => {
+  const { t } = useTranslation()
+  const [tempPrivilege, setTempPrivilege] = useState<Permissions>(payload)
+  const handlePrivilegeChange = useCallback((key: string) => {
+    return (value: PermissionType) => {
+      setTempPrivilege({
+        ...tempPrivilege,
+        [key]: value,
+      })
+    }
+  }, [tempPrivilege])
+
+  const handleSave = useCallback(async () => {
+    await onSave(tempPrivilege)
+    onHide()
+  }, [onHide, onSave, tempPrivilege])
+
+  return (
+    <Modal
+      isShow
+      onClose={onHide}
+      closable
+      className='!p-0 w-[420px]'
+    >
+      <div className='flex flex-col items-start w-[420px] rounded-2xl border border-components-panel-border bg-components-panel-bg shadows-shadow-xl'>
+        <div className='flex pt-6 pb-3 pl-6 pr-14 items-start gap-2 self-stretch'>
+          <span className='self-stretch text-text-primary title-2xl-semi-bold'>{t(`${i18nPrefix}.title`)}</span>
+        </div>
+        <div className='flex px-6 py-3 flex-col justify-center items-start gap-4 self-stretch'>
+          {[
+            { title: t(`${i18nPrefix}.whoCanInstall`), key: 'install_permission', value: tempPrivilege.install_permission },
+            { title: t(`${i18nPrefix}.whoCanDebug`), key: 'debug_permission', value: tempPrivilege.debug_permission },
+          ].map(({ title, key, value }) => (
+            <div key={key} className='flex flex-col items-start gap-1 self-stretch'>
+              <div className='flex h-6 items-center gap-0.5'>
+                <span className='text-text-secondary system-sm-semibold'>{title}</span>
+              </div>
+              <div className='flex items-start gap-2 justify-between w-full'>
+                {[PermissionType.everyone, PermissionType.admin, PermissionType.noOne].map(option => (
+                  <OptionCard
+                    key={option}
+                    title={t(`${i18nPrefix}.${option}`)}
+                    onSelect={() => handlePrivilegeChange(key)(option)}
+                    selected={value === option}
+                    className="flex-1"
+                  />
+                ))}
+              </div>
+            </div>
+          ))}
+        </div>
+        <div className='flex h-[76px] p-6 pt-5 justify-end items-center gap-2 self-stretch'>
+          <Button
+            className='min-w-[72px]'
+            onClick={onHide}
+          >
+            {t('common.operation.cancel')}
+          </Button>
+          <Button
+            className='min-w-[72px]'
+            variant={'primary'}
+            onClick={handleSave}
+          >
+            {t('common.operation.save')}
+          </Button>
+        </div>
+      </div>
+    </Modal>
+  )
+}
+
+export default React.memo(PluginSettingModal)
diff --git a/web/app/components/plugins/permission-setting-modal/style.module.css b/web/app/components/plugins/permission-setting-modal/style.module.css
new file mode 100644
index 0000000000..7ad3180a5a
--- /dev/null
+++ b/web/app/components/plugins/permission-setting-modal/style.module.css
@@ -0,0 +1,7 @@
+.textGradient {
+  background: linear-gradient(92deg, #2250F2 -29.55%, #0EBCF3 75.22%);
+  -webkit-background-clip: text;
+  -webkit-text-fill-color: transparent;
+  background-clip: text;
+  text-fill-color: transparent;
+}
\ No newline at end of file
diff --git a/web/app/components/plugins/plugin-detail-panel/action-list.tsx b/web/app/components/plugins/plugin-detail-panel/action-list.tsx
new file mode 100644
index 0000000000..46818d40f5
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/action-list.tsx
@@ -0,0 +1,112 @@
+import React, { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useAppContext } from '@/context/app-context'
+import Button from '@/app/components/base/button'
+import Toast from '@/app/components/base/toast'
+import Indicator from '@/app/components/header/indicator'
+import ToolItem from '@/app/components/tools/provider/tool-item'
+import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials'
+import {
+  useAllToolProviders,
+  useBuiltinTools,
+  useInvalidateAllToolProviders,
+  useRemoveProviderCredentials,
+  useUpdateProviderCredentials,
+} from '@/service/use-tools'
+import type { PluginDetail } from '@/app/components/plugins/types'
+
+type Props = {
+  detail: PluginDetail
+}
+
+const ActionList = ({
+  detail,
+}: Props) => {
+  const { t } = useTranslation()
+  const { isCurrentWorkspaceManager } = useAppContext()
+  const providerBriefInfo = detail.declaration.tool.identity
+  const providerKey = `${detail.plugin_id}/${providerBriefInfo.name}`
+  const { data: collectionList = [] } = useAllToolProviders()
+  const invalidateAllToolProviders = useInvalidateAllToolProviders()
+  const provider = useMemo(() => {
+    return collectionList.find(collection => collection.name === providerKey)
+  }, [collectionList, providerKey])
+  const { data } = useBuiltinTools(providerKey)
+
+  const [showSettingAuth, setShowSettingAuth] = useState(false)
+
+  const handleCredentialSettingUpdate = () => {
+    invalidateAllToolProviders()
+    Toast.notify({
+      type: 'success',
+      message: t('common.api.actionSuccess'),
+    })
+    setShowSettingAuth(false)
+  }
+
+  const { mutate: updatePermission, isPending } = useUpdateProviderCredentials({
+    onSuccess: handleCredentialSettingUpdate,
+  })
+
+  const { mutate: removePermission } = useRemoveProviderCredentials({
+    onSuccess: handleCredentialSettingUpdate,
+  })
+
+  if (!data || !provider)
+    return null
+
+  return (
+    <div className='px-4 pt-2 pb-4'>
+      <div className='mb-1 py-1'>
+        <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'>
+          {t('plugin.detailPanel.actionNum', { num: data.length, action: data.length > 1 ? 'actions' : 'action' })}
+          {provider.is_team_authorization && provider.allow_delete && (
+            <Button
+              variant='secondary'
+              size='small'
+              onClick={() => setShowSettingAuth(true)}
+              disabled={!isCurrentWorkspaceManager}
+            >
+              <Indicator className='mr-2' color={'green'} />
+              {t('tools.auth.authorized')}
+            </Button>
+          )}
+        </div>
+        {!provider.is_team_authorization && provider.allow_delete && (
+          <Button
+            variant='primary'
+            className='w-full'
+            onClick={() => setShowSettingAuth(true)}
+            disabled={!isCurrentWorkspaceManager}
+          >{t('tools.auth.unauthorized')}</Button>
+        )}
+      </div>
+      <div className='flex flex-col gap-2'>
+        {data.map(tool => (
+          <ToolItem
+            key={`${detail.plugin_id}${tool.name}`}
+            disabled={false}
+            collection={provider}
+            tool={tool}
+            isBuiltIn={true}
+            isModel={false}
+          />
+        ))}
+      </div>
+      {showSettingAuth && (
+        <ConfigCredential
+          collection={provider}
+          onCancel={() => setShowSettingAuth(false)}
+          onSaved={async value => updatePermission({
+            providerName: provider.name,
+            credentials: value,
+          })}
+          onRemove={async () => removePermission(provider.name)}
+          isSaving={isPending}
+        />
+      )}
+    </div>
+  )
+}
+
+export default ActionList
diff --git a/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx b/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx
new file mode 100644
index 0000000000..fafcf1439c
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx
@@ -0,0 +1,58 @@
+import React, { useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
+import StrategyItem from '@/app/components/plugins/plugin-detail-panel/strategy-item'
+import {
+  useStrategyProviderDetail,
+} from '@/service/use-strategy'
+import type { PluginDetail } from '@/app/components/plugins/types'
+
+type Props = {
+  detail: PluginDetail
+}
+
+const AgentStrategyList = ({
+  detail,
+}: Props) => {
+  const { t } = useTranslation()
+  const providerBriefInfo = detail.declaration.agent_strategy.identity
+  const providerKey = `${detail.plugin_id}/${providerBriefInfo.name}`
+  const { data: strategyProviderDetail } = useStrategyProviderDetail(providerKey)
+
+  const providerDetail = useMemo(() => {
+    return {
+      ...strategyProviderDetail?.declaration.identity,
+      tenant_id: detail.tenant_id,
+    }
+  }, [detail.tenant_id, strategyProviderDetail?.declaration.identity])
+
+  const strategyList = useMemo(() => {
+    if (!strategyProviderDetail)
+      return []
+
+    return strategyProviderDetail.declaration.strategies
+  }, [strategyProviderDetail])
+
+  if (!strategyProviderDetail)
+    return null
+
+  return (
+    <div className='px-4 pt-2 pb-4'>
+      <div className='mb-1 py-1'>
+        <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'>
+          {t('plugin.detailPanel.strategyNum', { num: strategyList.length, strategy: strategyList.length > 1 ? 'strategies' : 'strategy' })}
+        </div>
+      </div>
+      <div className='flex flex-col gap-2'>
+        {strategyList.map(strategyDetail => (
+          <StrategyItem
+            key={`${strategyDetail.identity.provider}${strategyDetail.identity.name}`}
+            provider={providerDetail as any}
+            detail={strategyDetail}
+          />
+        ))}
+      </div>
+    </div>
+  )
+}
+
+export default AgentStrategyList
diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx
new file mode 100644
index 0000000000..6dd9926d35
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx
@@ -0,0 +1,125 @@
+import { useCallback } from 'react'
+import { useTranslation } from 'react-i18next'
+import Input from '@/app/components/base/input'
+import Textarea from '@/app/components/base/textarea'
+import { PortalSelect } from '@/app/components/base/select'
+import { InputVarType } from '@/app/components/workflow/types'
+import { FileUploaderInAttachmentWrapper } from '@/app/components/base/file-uploader'
+
+type Props = {
+  inputsForms: any[]
+  inputs: Record<string, any>
+  inputsRef: any
+  onFormChange: (value: Record<string, any>) => void
+}
+const AppInputsForm = ({
+  inputsForms,
+  inputs,
+  inputsRef,
+  onFormChange,
+}: Props) => {
+  const { t } = useTranslation()
+
+  const handleFormChange = useCallback((variable: string, value: any) => {
+    onFormChange({
+      ...inputsRef.current,
+      [variable]: value,
+    })
+  }, [onFormChange, inputsRef])
+
+  const renderField = (form: any) => {
+    const {
+      label,
+      variable,
+      options,
+    } = form
+    if (form.type === InputVarType.textInput) {
+      return (
+        <Input
+          value={inputs[variable] || ''}
+          onChange={e => handleFormChange(variable, e.target.value)}
+          placeholder={label}
+        />
+      )
+    }
+    if (form.type === InputVarType.number) {
+      return (
+        <Input
+          type="number"
+          value={inputs[variable] || ''}
+          onChange={e => handleFormChange(variable, e.target.value)}
+          placeholder={label}
+        />
+      )
+    }
+    if (form.type === InputVarType.paragraph) {
+      return (
+        <Textarea
+          value={inputs[variable] || ''}
+          onChange={e => handleFormChange(variable, e.target.value)}
+          placeholder={label}
+        />
+      )
+    }
+    if (form.type === InputVarType.select) {
+      return (
+        <PortalSelect
+          popupClassName="w-[356px] z-[1050]"
+          value={inputs[variable] || ''}
+          items={options.map((option: string) => ({ value: option, name: option }))}
+          onSelect={item => handleFormChange(variable, item.value as string)}
+          placeholder={label}
+        />
+      )
+    }
+    if (form.type === InputVarType.singleFile) {
+      return (
+        <FileUploaderInAttachmentWrapper
+          value={inputs[variable] ? [inputs[variable]] : []}
+          onChange={files => handleFormChange(variable, files[0])}
+          fileConfig={{
+            allowed_file_types: form.allowed_file_types,
+            allowed_file_extensions: form.allowed_file_extensions,
+            allowed_file_upload_methods: form.allowed_file_upload_methods,
+            number_limits: 1,
+            fileUploadConfig: (form as any).fileUploadConfig,
+          }}
+        />
+      )
+    }
+    if (form.type === InputVarType.multiFiles) {
+      return (
+        <FileUploaderInAttachmentWrapper
+          value={inputs[variable]}
+          onChange={files => handleFormChange(variable, files)}
+          fileConfig={{
+            allowed_file_types: form.allowed_file_types,
+            allowed_file_extensions: form.allowed_file_extensions,
+            allowed_file_upload_methods: form.allowed_file_upload_methods,
+            number_limits: form.max_length,
+            fileUploadConfig: (form as any).fileUploadConfig,
+          }}
+        />
+      )
+    }
+  }
+
+  if (!inputsForms.length)
+    return null
+
+  return (
+    <div className='px-4 py-2 flex flex-col gap-4'>
+      {inputsForms.map(form => (
+        <div key={form.variable}>
+          <div className='h-6 mb-1 flex items-center gap-1 text-text-secondary system-sm-semibold'>
+            <div className='truncate'>{form.label}</div>
+            {!form.required && <span className='text-text-tertiary system-xs-regular'>{t('workflow.panel.optional')}</span>}
+          </div>
+          {renderField(form)}
+        </div>
+      ))}
+    </div>
+  )
+}
+
+export default AppInputsForm
diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx
new file mode 100644
index 0000000000..d293be3aad
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx
@@ -0,0 +1,180 @@
+'use client'
+import React, { useMemo, useRef } from 'react'
+import { useTranslation } from 'react-i18next'
+import Loading from '@/app/components/base/loading'
+import AppInputsForm from '@/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form'
+import { useAppDetail } from '@/service/use-apps'
+import { useAppWorkflow } from '@/service/use-workflow'
+import { useFileUploadConfig } from '@/service/use-common'
+import { Resolution } from '@/types/app'
+import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants'
+import type { App } from '@/types/app'
+import type { FileUpload } from '@/app/components/base/features/types'
+import { BlockEnum, InputVarType, SupportUploadFileTypes } from '@/app/components/workflow/types'
+
+import cn from '@/utils/classnames'
+
+type Props = {
+  value?: {
+    app_id: string
+    inputs: Record<string, any>
+  }
+  appDetail: App
+  onFormChange: (value: Record<string, any>) => void
+}
+
+const AppInputsPanel = ({
+  value,
+  appDetail,
+  onFormChange,
+}: Props) => {
+  const { t } = useTranslation()
+  const inputsRef = useRef<any>(value?.inputs || {})
+  const isBasicApp = appDetail.mode !== 'advanced-chat' && appDetail.mode !== 'workflow'
+  const { data: fileUploadConfig } = useFileUploadConfig()
+  const { data: currentApp, isFetching: isAppLoading } = useAppDetail(appDetail.id)
+  const { data: currentWorkflow, isFetching: isWorkflowLoading } = useAppWorkflow(isBasicApp ? '' : appDetail.id)
+  const isLoading = isAppLoading || isWorkflowLoading
+
+  const basicAppFileConfig = useMemo(() => {
+    let fileConfig: FileUpload
+    if (isBasicApp)
+      fileConfig = currentApp?.model_config?.file_upload as FileUpload
+    else
+      fileConfig = currentWorkflow?.features?.file_upload as FileUpload
+    return {
+      image: {
+        detail: fileConfig?.image?.detail || Resolution.high,
+        enabled: !!fileConfig?.image?.enabled,
+        number_limits: fileConfig?.image?.number_limits || 3,
+        transfer_methods: fileConfig?.image?.transfer_methods || ['local_file', 'remote_url'],
+      },
+      enabled: !!(fileConfig?.enabled || fileConfig?.image?.enabled),
+      allowed_file_types: fileConfig?.allowed_file_types || [SupportUploadFileTypes.image],
+      allowed_file_extensions: fileConfig?.allowed_file_extensions || [...FILE_EXTS[SupportUploadFileTypes.image]].map(ext => `.${ext}`),
+      allowed_file_upload_methods: fileConfig?.allowed_file_upload_methods || fileConfig?.image?.transfer_methods || ['local_file', 'remote_url'],
+      number_limits: fileConfig?.number_limits || fileConfig?.image?.number_limits || 3,
+    }
+  }, [currentApp?.model_config?.file_upload, currentWorkflow?.features?.file_upload, isBasicApp])
+
+  const inputFormSchema = useMemo(() => {
+    if (!currentApp)
+      return []
+    let inputFormSchema = []
+    if (isBasicApp) {
+      inputFormSchema = currentApp.model_config.user_input_form.filter((item: any) => !item.external_data_tool).map((item: any) => {
+        if (item.paragraph) {
+          return {
+            ...item.paragraph,
+            type: 'paragraph',
+            required: false,
+          }
+        }
+        if (item.number) {
+          return {
+            ...item.number,
+            type: 'number',
+            required: false,
+          }
+        }
+        if (item.select) {
+          return {
+            ...item.select,
+            type: 'select',
+            required: false,
+          }
+        }
+
+        if (item['file-list']) {
+          return {
+            ...item['file-list'],
+            type: 'file-list',
+            required: false,
+            fileUploadConfig,
+          }
+        }
+
+        if (item.file) {
+          return {
+            ...item.file,
+            type: 'file',
+            required: false,
+            fileUploadConfig,
+          }
+        }
+
+        return {
+          ...item['text-input'],
+          type: 'text-input',
+          required: false,
+        }
+      })
+    }
+    else {
+      const startNode = currentWorkflow?.graph.nodes.find(node => node.data.type === BlockEnum.Start) as any
+      inputFormSchema = startNode?.data.variables.map((variable: any) => {
+        if (variable.type === InputVarType.multiFiles) {
+          return {
+            ...variable,
+            required: false,
+            fileUploadConfig,
+          }
+        }
+
+        if (variable.type === InputVarType.singleFile) {
+          return {
+            ...variable,
+            required: false,
+            fileUploadConfig,
+          }
+        }
+        return {
+          ...variable,
+          required: false,
+        }
+      })
+    }
+    if ((currentApp.mode === 'completion' || currentApp.mode === 'workflow') && basicAppFileConfig.enabled) {
+      inputFormSchema.push({
+        label: 'Image Upload',
+        variable: '#image#',
+        type: InputVarType.singleFile,
+        required: false,
+        ...basicAppFileConfig,
+        fileUploadConfig,
+      })
+    }
+    return inputFormSchema
+  }, [basicAppFileConfig, currentApp, currentWorkflow, fileUploadConfig, isBasicApp])
+
+  const handleFormChange = (value: Record<string, any>) => {
+    inputsRef.current = value
+    onFormChange(value)
+  }
+
+  return (
+    <div className={cn('max-h-[240px] flex flex-col pb-4 rounded-b-2xl border-t border-divider-subtle')}>
+      {isLoading && <div className='pt-3'><Loading type='app' /></div>}
+      {!isLoading && (
+        <div className='shrink-0 mt-3 mb-2 px-4 h-6 flex items-center system-sm-semibold text-text-secondary'>{t('app.appSelector.params')}</div>
+      )}
+      {!isLoading && !inputFormSchema.length && (
+        <div className='h-16 flex flex-col justify-center items-center'>
+          <div className='text-text-tertiary system-sm-regular'>{t('app.appSelector.noParams')}</div>
+        </div>
+      )}
+      {!isLoading && !!inputFormSchema.length && (
+        <div className='grow overflow-y-auto'>
+          <AppInputsForm
+            inputs={value?.inputs || {}}
+            inputsRef={inputsRef}
+            inputsForms={inputFormSchema}
+            onFormChange={handleFormChange}
+          />
+        </div>
+      )}
+    </div>
+  )
+}
+
+export default AppInputsPanel
diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx
new file mode 100644
index 0000000000..841663a5b4
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx
@@ -0,0 +1,123 @@
+'use client'
+import type { FC } from 'react'
+import React, { useMemo } from 'react'
+import { useState } from 'react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import type {
+  OffsetOptions,
+  Placement,
+} from '@floating-ui/react'
+import Input from '@/app/components/base/input'
+import AppIcon from '@/app/components/base/app-icon'
+import type { App } from '@/types/app'
+
+type Props = {
+  appList: App[]
+  scope: string
+  disabled: boolean
+  trigger: React.ReactNode
+  placement?: Placement
+  offset?: OffsetOptions
+  isShow: boolean
+  onShowChange: (isShow: boolean) => void
+  onSelect: (app: App) => void
+}
+
+const AppPicker: FC<Props> = ({
+  scope,
+  appList,
+  disabled,
+  trigger,
+  placement = 'right-start',
+  offset = 0,
+  isShow,
+  onShowChange,
+  onSelect,
+}) => {
+  const [searchText, setSearchText] = useState('')
+  const filteredAppList = useMemo(() => {
+    return (appList || [])
+      .filter(app => app.name.toLowerCase().includes(searchText.toLowerCase()))
+      .filter(app => (app.mode !== 'advanced-chat' && app.mode !== 'workflow') || !!app.workflow)
+      .filter(app => scope === 'all'
+      || (scope === 'completion' && app.mode === 'completion')
+      || (scope === 'workflow' && app.mode === 'workflow')
+      || (scope === 'chat' && app.mode === 'advanced-chat')
+      || (scope === 'chat' && app.mode === 'agent-chat')
+      || (scope === 'chat' && app.mode === 'chat'))
+  }, [appList, scope, searchText])
+  const getAppType = (app: App) => {
+    switch (app.mode) {
+      case 'advanced-chat':
+        return 'chatflow'
+      case 'agent-chat':
+        return 'agent'
+      case 'chat':
+        return 'chat'
+      case 'completion':
+        return 'completion'
+      case 'workflow':
+        return 'workflow'
+    }
+  }
+
+  const handleTriggerClick = () => {
+    if (disabled) return
+    onShowChange(true)
+  }
+
+  return (
+    <PortalToFollowElem
+      placement={placement}
+      offset={offset}
+      open={isShow}
+      onOpenChange={onShowChange}
+    >
+      <PortalToFollowElemTrigger
+        onClick={handleTriggerClick}
+      >
+        {trigger}
+      </PortalToFollowElemTrigger>
+
+      <PortalToFollowElemContent className='z-[1000]'>
+        <div className="relative w-[356px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg">
+          <div className='p-2 pb-1'>
+            <Input
+              showLeftIcon
+              showClearIcon
+              value={searchText}
+              onChange={e => setSearchText(e.target.value)}
+              onClear={() => setSearchText('')}
+            />
+          </div>
+          <div className='p-1'>
+            {filteredAppList.map(app => (
+              <div
+                key={app.id}
+                className='flex items-center gap-3 py-1 pl-2 pr-3 rounded-lg hover:bg-state-base-hover cursor-pointer'
+                onClick={() => onSelect(app)}
+              >
+                <AppIcon
+                  className='shrink-0'
+                  size='xs'
+                  iconType={app.icon_type}
+                  icon={app.icon}
+                  background={app.icon_background}
+                  imageUrl={app.icon_url}
+                />
+                <div title={app.name} className='grow system-sm-medium text-components-input-text-filled'>{app.name}</div>
+                <div className='shrink-0 text-text-tertiary system-2xs-medium-uppercase'>{getAppType(app)}</div>
+              </div>
+            ))}
+          </div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default React.memo(AppPicker)
diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx
new file mode 100644
index 0000000000..2706597a86
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx
@@ -0,0 +1,48 @@
+'use client'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiArrowDownSLine,
+} from '@remixicon/react'
+import AppIcon from '@/app/components/base/app-icon'
+import type { App } from '@/types/app'
+import cn from '@/utils/classnames'
+
+type Props = {
+  open: boolean
+  appDetail?: App
+}
+
+const AppTrigger = ({
+  open,
+  appDetail,
+}: Props) => {
+  const { t } = useTranslation()
+  return (
+    <div className={cn(
+      'group flex items-center p-2 pl-3 bg-components-input-bg-normal rounded-lg cursor-pointer hover:bg-state-base-hover-alt',
+      open && 'bg-state-base-hover-alt',
+      appDetail && 'pl-1.5 py-1.5',
+    )}>
+      {appDetail && (
+        <AppIcon
+          className='mr-2'
+          size='xs'
+          iconType={appDetail.icon_type}
+          icon={appDetail.icon}
+          background={appDetail.icon_background}
+          imageUrl={appDetail.icon_url}
+        />
+      )}
+      {appDetail && (
+        <div title={appDetail.name} className='grow system-sm-medium text-components-input-text-filled'>{appDetail.name}</div>
+      )}
+      {!appDetail && (
+        <div className='grow text-components-input-text-placeholder system-sm-regular truncate'>{t('app.appSelector.placeholder')}</div>
+      )}
+      <RiArrowDownSLine className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} />
+    </div>
+  )
+}
+
+export default AppTrigger
diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx
new file mode 100644
index 0000000000..5f5a0d7e3e
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx
@@ -0,0 +1,143 @@
+'use client'
+import type { FC } from 'react'
+import React, { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import AppTrigger from '@/app/components/plugins/plugin-detail-panel/app-selector/app-trigger'
+import AppPicker from '@/app/components/plugins/plugin-detail-panel/app-selector/app-picker'
+import AppInputsPanel from '@/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel'
+import { useAppFullList } from '@/service/use-apps'
+import type { App } from '@/types/app'
+import type {
+  OffsetOptions,
+  Placement,
+} from '@floating-ui/react'
+
+type Props = {
+  value?: {
+    app_id: string
+    inputs: Record<string, any>
+    files?: any[]
+  }
+  scope?: string
+  disabled?: boolean
+  placement?: Placement
+  offset?: OffsetOptions
+  onSelect: (app: {
+    app_id: string
+    inputs: Record<string, any>
+    files?: any[]
+  }) => void
+  supportAddCustomTool?: boolean
+}
+const AppSelector: FC<Props> = ({
+  value,
+  scope,
+  disabled,
+  placement = 'bottom',
+  offset = 4,
+  onSelect,
+}) => {
+  const { t } = useTranslation()
+  const [isShow, onShowChange] = useState(false)
+  const handleTriggerClick = () => {
+    if (disabled) return
+    onShowChange(true)
+  }
+
+  const { data: appList } = useAppFullList()
+  const currentAppInfo = useMemo(() => {
+    if (!appList?.data || !value)
+      return undefined
+    return appList.data.find(app => app.id === value.app_id)
+  }, [appList?.data, value])
+
+  const [isShowChooseApp, setIsShowChooseApp] = useState(false)
+  const handleSelectApp = (app: App) => {
+    const clearValue = app.id !== value?.app_id
+    const appValue = {
+      app_id: app.id,
+      inputs: clearValue ? {} : value?.inputs || {},
+      files: clearValue ? [] : value?.files || [],
+    }
+    onSelect(appValue)
+    setIsShowChooseApp(false)
+  }
+  const handleFormChange = (inputs: Record<string, any>) => {
+    const newFiles = inputs['#image#']
+    delete inputs['#image#']
+    const newValue = {
+      app_id: value?.app_id || '',
+      inputs,
+      files: newFiles ? [newFiles] : value?.files || [],
+    }
+    onSelect(newValue)
+  }
+
+  const formattedValue = useMemo(() => {
+    return {
+      app_id: value?.app_id || '',
+      inputs: {
+        ...value?.inputs,
+        ...(value?.files?.length ? { '#image#': value.files[0] } : {}),
+      },
+    }
+  }, [value])
+
+  return (
+    <>
+      <PortalToFollowElem
+        placement={placement}
+        offset={offset}
+        open={isShow}
+        onOpenChange={onShowChange}
+      >
+        <PortalToFollowElemTrigger
+          className='w-full'
+          onClick={handleTriggerClick}
+        >
+          <AppTrigger
+            open={isShow}
+            appDetail={currentAppInfo}
+          />
+        </PortalToFollowElemTrigger>
+        <PortalToFollowElemContent className='z-[1000]'>
+          <div className="relative w-[389px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg">
+            <div className='px-4 py-3 flex flex-col gap-1'>
+              <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('app.appSelector.label')}</div>
+              <AppPicker
+                placement='bottom'
+                offset={offset}
+                trigger={
+                  <AppTrigger
+                    open={isShowChooseApp}
+                    appDetail={currentAppInfo}
+                  />
+                }
+                isShow={isShowChooseApp}
+                onShowChange={setIsShowChooseApp}
+                disabled={false}
+                appList={appList?.data || []}
+                onSelect={handleSelectApp}
+                scope={scope || 'all'}
+              />
+            </div>
+            {/* app inputs config panel */}
+            {currentAppInfo && (
+              <AppInputsPanel
+                value={formattedValue}
+                appDetail={currentAppInfo}
+                onFormChange={handleFormChange}
+              />
+            )}
+          </div>
+        </PortalToFollowElemContent>
+      </PortalToFollowElem>
+    </>
+  )
+}
+export default React.memo(AppSelector)
diff --git a/web/app/components/plugins/plugin-detail-panel/detail-header.tsx b/web/app/components/plugins/plugin-detail-panel/detail-header.tsx
new file mode 100644
index 0000000000..6edb68238f
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/detail-header.tsx
@@ -0,0 +1,310 @@
+import React, { useCallback, useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useBoolean } from 'ahooks'
+import {
+  RiArrowLeftRightLine,
+  RiBugLine,
+  RiCloseLine,
+  RiHardDrive3Line,
+  RiVerifiedBadgeLine,
+} from '@remixicon/react'
+import type { PluginDetail } from '../types'
+import { PluginSource, PluginType } from '../types'
+import Description from '../card/base/description'
+import Icon from '../card/base/card-icon'
+import Title from '../card/base/title'
+import OrgInfo from '../card/base/org-info'
+import { useGitHubReleases } from '../install-plugin/hooks'
+import PluginVersionPicker from '@/app/components/plugins/update-plugin/plugin-version-picker'
+import UpdateFromMarketplace from '@/app/components/plugins/update-plugin/from-market-place'
+import OperationDropdown from '@/app/components/plugins/plugin-detail-panel/operation-dropdown'
+import PluginInfo from '@/app/components/plugins/plugin-page/plugin-info'
+import ActionButton from '@/app/components/base/action-button'
+import Button from '@/app/components/base/button'
+import Badge from '@/app/components/base/badge'
+import Confirm from '@/app/components/base/confirm'
+import Tooltip from '@/app/components/base/tooltip'
+import Toast from '@/app/components/base/toast'
+import { BoxSparkleFill } from '@/app/components/base/icons/src/vender/plugin'
+import { Github } from '@/app/components/base/icons/src/public/common'
+import { uninstallPlugin } from '@/service/plugins'
+import { useGetLanguage } from '@/context/i18n'
+import { useModalContext } from '@/context/modal-context'
+import { useProviderContext } from '@/context/provider-context'
+import { useInvalidateAllToolProviders } from '@/service/use-tools'
+import { API_PREFIX, MARKETPLACE_URL_PREFIX } from '@/config'
+import cn from '@/utils/classnames'
+
+const i18nPrefix = 'plugin.action'
+
+type Props = {
+  detail: PluginDetail
+  onHide: () => void
+  onUpdate: (isDelete?: boolean) => void
+}
+
+const DetailHeader = ({
+  detail,
+  onHide,
+  onUpdate,
+}: Props) => {
+  const { t } = useTranslation()
+  const locale = useGetLanguage()
+  const { checkForUpdates, fetchReleases } = useGitHubReleases()
+  const { setShowUpdatePluginModal } = useModalContext()
+  const { refreshModelProviders } = useProviderContext()
+  const invalidateAllToolProviders = useInvalidateAllToolProviders()
+
+  const {
+    installation_id,
+    source,
+    tenant_id,
+    version,
+    latest_unique_identifier,
+    latest_version,
+    meta,
+    plugin_id,
+  } = detail
+  const { author, category, name, label, description, icon, verified } = detail.declaration
+  const isFromGitHub = source === PluginSource.github
+  const isFromMarketplace = source === PluginSource.marketplace
+
+  const [isShow, setIsShow] = useState(false)
+  const [targetVersion, setTargetVersion] = useState({
+    version: latest_version,
+    unique_identifier: latest_unique_identifier,
+  })
+  const hasNewVersion = useMemo(() => {
+    if (isFromMarketplace)
+      return !!latest_version && latest_version !== version
+
+    return false
+  }, [isFromMarketplace, latest_version, version])
+
+  const detailUrl = useMemo(() => {
+    if (isFromGitHub)
+      return `https://github.com/${meta!.repo}`
+    if (isFromMarketplace)
+      return `${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}`
+    return ''
+  }, [author, isFromGitHub, isFromMarketplace, meta, name])
+
+  const [isShowUpdateModal, {
+    setTrue: showUpdateModal,
+    setFalse: hideUpdateModal,
+  }] = useBoolean(false)
+
+  const handleUpdate = async () => {
+    if (isFromMarketplace) {
+      showUpdateModal()
+      return
+    }
+
+    const owner = meta!.repo.split('/')[0] || author
+    const repo = meta!.repo.split('/')[1] || name
+    const fetchedReleases = await fetchReleases(owner, repo)
+    if (fetchedReleases.length === 0) return
+    const { needUpdate, toastProps } = checkForUpdates(fetchedReleases, meta!.version)
+    Toast.notify(toastProps)
+    if (needUpdate) {
+      setShowUpdatePluginModal({
+        onSaveCallback: () => {
+          onUpdate()
+        },
+        payload: {
+          type: PluginSource.github,
+          category: detail.declaration.category,
+          github: {
+            originalPackageInfo: {
+              id: detail.plugin_unique_identifier,
+              repo: meta!.repo,
+              version: meta!.version,
+              package: meta!.package,
+              releases: fetchedReleases,
+            },
+          },
+        },
+      })
+    }
+  }
+
+  const handleUpdatedFromMarketplace = () => {
+    onUpdate()
+    hideUpdateModal()
+  }
+
+  const [isShowPluginInfo, {
+    setTrue: showPluginInfo,
+    setFalse: hidePluginInfo,
+  }] = useBoolean(false)
+
+  const [isShowDeleteConfirm, {
+    setTrue: showDeleteConfirm,
+    setFalse: hideDeleteConfirm,
+  }] = useBoolean(false)
+
+  const [deleting, {
+    setTrue: showDeleting,
+    setFalse: hideDeleting,
+  }] = useBoolean(false)
+
+  const handleDelete = useCallback(async () => {
+    showDeleting()
+    const res = await uninstallPlugin(installation_id)
+    hideDeleting()
+    if (res.success) {
+      hideDeleteConfirm()
+      onUpdate(true)
+      if (PluginType.model.includes(category))
+        refreshModelProviders()
+      if (PluginType.tool.includes(category))
+        invalidateAllToolProviders()
+    }
+  }, [showDeleting, installation_id, hideDeleting, hideDeleteConfirm, onUpdate, category, refreshModelProviders, invalidateAllToolProviders])
+
+  // #plugin TODO# used in apps
+  // const usedInApps = 3
+
+  return (
+    <div className={cn('shrink-0 p-4 pb-3 border-b border-divider-subtle bg-components-panel-bg')}>
+      <div className="flex">
+        <div className='overflow-hidden border-components-panel-border-subtle border rounded-xl'>
+          <Icon src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${tenant_id}&filename=${icon}`} />
+        </div>
+        <div className="ml-3 w-0 grow">
+          <div className="flex items-center h-5">
+            <Title title={label[locale]} />
+            {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />}
+            <PluginVersionPicker
+              disabled={!isFromMarketplace}
+              isShow={isShow}
+              onShowChange={setIsShow}
+              pluginID={plugin_id}
+              currentVersion={version}
+              onSelect={(state) => {
+                setTargetVersion(state)
+                handleUpdate()
+              }}
+              trigger={
+                <Badge
+                  className={cn(
+                    'mx-1',
+                    isShow && 'bg-state-base-hover',
+                    (isShow || isFromMarketplace) && 'hover:bg-state-base-hover',
+                  )}
+                  uppercase={false}
+                  text={
+                    <>
+                      <div>{isFromGitHub ? meta!.version : version}</div>
+                      {isFromMarketplace && <RiArrowLeftRightLine className='ml-1 w-3 h-3 text-text-tertiary' />}
+                    </>
+                  }
+                  hasRedCornerMark={hasNewVersion}
+                />
+              }
+            />
+            {(hasNewVersion || isFromGitHub) && (
+              <Button variant='secondary-accent' size='small' className='!h-5' onClick={() => {
+                if (isFromMarketplace) {
+                  setTargetVersion({
+                    version: latest_version,
+                    unique_identifier: latest_unique_identifier,
+                  })
+                }
+                handleUpdate()
+              }}>{t('plugin.detailPanel.operation.update')}</Button>
+            )}
+          </div>
+          <div className='mb-1 flex justify-between items-center h-4'>
+            <div className='mt-0.5 flex items-center'>
+              <OrgInfo
+                packageNameClassName='w-auto'
+                orgName={author}
+                packageName={name}
+              />
+              <div className='ml-1 mr-0.5 text-text-quaternary system-xs-regular'>·</div>
+              {detail.source === PluginSource.marketplace && (
+                <Tooltip popupContent={t('plugin.detailPanel.categoryTip.marketplace')} >
+                  <div><BoxSparkleFill className='w-3.5 h-3.5 text-text-tertiary hover:text-text-accent' /></div>
+                </Tooltip>
+              )}
+              {detail.source === PluginSource.github && (
+                <Tooltip popupContent={t('plugin.detailPanel.categoryTip.github')} >
+                  <div><Github className='w-3.5 h-3.5 text-text-secondary hover:text-text-primary' /></div>
+                </Tooltip>
+              )}
+              {detail.source === PluginSource.local && (
+                <Tooltip popupContent={t('plugin.detailPanel.categoryTip.local')} >
+                  <div><RiHardDrive3Line className='w-3.5 h-3.5 text-text-tertiary' /></div>
+                </Tooltip>
+              )}
+              {detail.source === PluginSource.debugging && (
+                <Tooltip popupContent={t('plugin.detailPanel.categoryTip.debugging')} >
+                  <div><RiBugLine className='w-3.5 h-3.5 text-text-tertiary hover:text-text-warning' /></div>
+                </Tooltip>
+              )}
+            </div>
+          </div>
+        </div>
+        <div className='flex gap-1'>
+          <OperationDropdown
+            source={detail.source}
+            onInfo={showPluginInfo}
+            onCheckVersion={handleUpdate}
+            onRemove={showDeleteConfirm}
+            detailUrl={detailUrl}
+          />
+          <ActionButton onClick={onHide}>
+            <RiCloseLine className='w-4 h-4' />
+          </ActionButton>
+        </div>
+      </div>
+      <Description className='mt-3' text={description[locale]} descriptionLineRows={2}></Description>
+      {isShowPluginInfo && (
+        <PluginInfo
+          repository={isFromGitHub ? meta?.repo : ''}
+          release={version}
+          packageName={meta?.package || ''}
+          onHide={hidePluginInfo}
+        />
+      )}
+      {isShowDeleteConfirm && (
+        <Confirm
+          isShow
+          title={t(`${i18nPrefix}.delete`)}
+          content={
+            <div>
+              {t(`${i18nPrefix}.deleteContentLeft`)}<span className='system-md-semibold'>{label[locale]}</span>{t(`${i18nPrefix}.deleteContentRight`)}<br />
+              {/* {usedInApps > 0 && t(`${i18nPrefix}.usedInApps`, { num: usedInApps })} */}
+            </div>
+          }
+          onCancel={hideDeleteConfirm}
+          onConfirm={handleDelete}
+          isLoading={deleting}
+          isDisabled={deleting}
+        />
+      )}
+      {
+        isShowUpdateModal && (
+          <UpdateFromMarketplace
+            payload={{
+              category: detail.declaration.category,
+              originalPackageInfo: {
+                id: detail.plugin_unique_identifier,
+                payload: detail.declaration,
+              },
+              targetPackageInfo: {
+                id: targetVersion.unique_identifier,
+                version: targetVersion.version,
+              },
+            }}
+            onCancel={hideUpdateModal}
+            onSave={handleUpdatedFromMarketplace}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+export default DetailHeader
diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx
new file mode 100644
index 0000000000..b2b04a6f1e
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx
@@ -0,0 +1,219 @@
+import React, { useEffect, useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useBoolean } from 'ahooks'
+import copy from 'copy-to-clipboard'
+import { RiClipboardLine, RiDeleteBinLine, RiEditLine, RiLoginCircleLine } from '@remixicon/react'
+import type { EndpointListItem } from '../types'
+import EndpointModal from './endpoint-modal'
+import { NAME_FIELD } from './utils'
+import { addDefaultValue, toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
+import { ClipboardCheck } from '@/app/components/base/icons/src/vender/line/files'
+import ActionButton from '@/app/components/base/action-button'
+import Confirm from '@/app/components/base/confirm'
+import Indicator from '@/app/components/header/indicator'
+import Switch from '@/app/components/base/switch'
+import Toast from '@/app/components/base/toast'
+import Tooltip from '@/app/components/base/tooltip'
+import {
+  useDeleteEndpoint,
+  useDisableEndpoint,
+  useEnableEndpoint,
+  useUpdateEndpoint,
+} from '@/service/use-endpoints'
+
+type Props = {
+  data: EndpointListItem
+  handleChange: () => void
+}
+
+const EndpointCard = ({
+  data,
+  handleChange,
+}: Props) => {
+  const { t } = useTranslation()
+  const [active, setActive] = useState(data.enabled)
+  const endpointID = data.id
+
+  // switch
+  const [isShowDisableConfirm, {
+    setTrue: showDisableConfirm,
+    setFalse: hideDisableConfirm,
+  }] = useBoolean(false)
+  const { mutate: enableEndpoint } = useEnableEndpoint({
+    onSuccess: async () => {
+      await handleChange()
+    },
+    onError: () => {
+      Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') })
+      setActive(false)
+    },
+  })
+  const { mutate: disableEndpoint } = useDisableEndpoint({
+    onSuccess: async () => {
+      await handleChange()
+      hideDisableConfirm()
+    },
+    onError: () => {
+      Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') })
+      setActive(false)
+    },
+  })
+  const handleSwitch = (state: boolean) => {
+    if (state) {
+      setActive(true)
+      enableEndpoint(endpointID)
+    }
+    else {
+      setActive(false)
+      showDisableConfirm()
+    }
+  }
+
+  // delete
+  const [isShowDeleteConfirm, {
+    setTrue: showDeleteConfirm,
+    setFalse: hideDeleteConfirm,
+  }] = useBoolean(false)
+  const { mutate: deleteEndpoint } = useDeleteEndpoint({
+    onSuccess: async () => {
+      await handleChange()
+      hideDeleteConfirm()
+    },
+    onError: () => {
+      Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') })
+    },
+  })
+
+  // update
+  const [isShowEndpointModal, {
+    setTrue: showEndpointModalConfirm,
+    setFalse: hideEndpointModalConfirm,
+  }] = useBoolean(false)
+  const formSchemas = useMemo(() => {
+    return toolCredentialToFormSchemas([NAME_FIELD, ...data.declaration.settings])
+  }, [data.declaration.settings])
+  const formValue = useMemo(() => {
+    const formValue = {
+      name: data.name,
+      ...data.settings,
+    }
+    return addDefaultValue(formValue, formSchemas)
+  }, [data.name, data.settings, formSchemas])
+  const { mutate: updateEndpoint } = useUpdateEndpoint({
+    onSuccess: async () => {
+      await handleChange()
+      hideEndpointModalConfirm()
+    },
+    onError: () => {
+      Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') })
+    },
+  })
+  const handleUpdate = (state: any) => updateEndpoint({
+    endpointID,
+    state,
+  })
+
+  const [isCopied, setIsCopied] = useState(false)
+  const handleCopy = (value: string) => {
+    copy(value)
+    setIsCopied(true)
+  }
+
+  useEffect(() => {
+    if (isCopied) {
+      const timer = setTimeout(() => {
+        setIsCopied(false)
+      }, 2000)
+      return () => {
+        clearTimeout(timer)
+      }
+    }
+  }, [isCopied])
+
+  const CopyIcon = isCopied ? ClipboardCheck : RiClipboardLine
+
+  return (
+    <div className='p-0.5 bg-background-section-burn rounded-xl'>
+      <div className='group p-2.5 pl-3 bg-components-panel-on-panel-item-bg rounded-[10px] border-[0.5px] border-components-panel-border'>
+        <div className='flex items-center'>
+          <div className='grow mb-1 h-6 flex items-center gap-1 text-text-secondary system-md-semibold'>
+            <RiLoginCircleLine className='w-4 h-4' />
+            <div>{data.name}</div>
+          </div>
+          <div className='hidden group-hover:flex items-center'>
+            <ActionButton onClick={showEndpointModalConfirm}>
+              <RiEditLine className='w-4 h-4' />
+            </ActionButton>
+            <ActionButton onClick={showDeleteConfirm} className='hover:bg-state-destructive-hover text-text-tertiary hover:text-text-destructive'>
+              <RiDeleteBinLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+        </div>
+        {data.declaration.endpoints.map((endpoint, index) => (
+          <div key={index} className='h-6 flex items-center'>
+            <div className='shrink-0 w-12 text-text-tertiary system-xs-regular'>{endpoint.method}</div>
+            <div className='group/item grow flex items-center text-text-secondary system-xs-regular truncate'>
+              <div title={`${data.url}${endpoint.path}`} className='truncate'>{`${data.url}${endpoint.path}`}</div>
+              <Tooltip popupContent={t(`common.operation.${isCopied ? 'copied' : 'copy'}`)} position='top'>
+                <ActionButton className='hidden shrink-0 ml-2 group-hover/item:flex' onClick={() => handleCopy(`${data.url}${endpoint.path}`)}>
+                  <CopyIcon className='w-3.5 h-3.5 text-text-tertiary' />
+                </ActionButton>
+              </Tooltip>
+            </div>
+          </div>
+        ))}
+      </div>
+      <div className='p-2 pl-3 flex items-center justify-between'>
+        {active && (
+          <div className='flex items-center gap-1 system-xs-semibold-uppercase text-util-colors-green-green-600'>
+            <Indicator color='green' />
+            {t('plugin.detailPanel.serviceOk')}
+          </div>
+        )}
+        {!active && (
+          <div className='flex items-center gap-1 system-xs-semibold-uppercase text-text-tertiary'>
+            <Indicator color='gray' />
+            {t('plugin.detailPanel.disabled')}
+          </div>
+        )}
+        <Switch
+          className='ml-3'
+          defaultValue={active}
+          onChange={handleSwitch}
+          size='sm'
+        />
+      </div>
+      {isShowDisableConfirm && (
+        <Confirm
+          isShow
+          title={t('plugin.detailPanel.endpointDisableTip')}
+          content={<div>{t('plugin.detailPanel.endpointDisableContent', { name: data.name })}</div>}
+          onCancel={() => {
+            hideDisableConfirm()
+            setActive(true)
+          }}
+          onConfirm={() => disableEndpoint(endpointID)}
+        />
+      )}
+      {isShowDeleteConfirm && (
+        <Confirm
+          isShow
+          title={t('plugin.detailPanel.endpointDeleteTip')}
+          content={<div>{t('plugin.detailPanel.endpointDeleteContent', { name: data.name })}</div>}
+          onCancel={hideDeleteConfirm}
+          onConfirm={() => deleteEndpoint(endpointID)}
+        />
+      )}
+      {isShowEndpointModal && (
+        <EndpointModal
+          formSchemas={formSchemas}
+          defaultValues={formValue}
+          onCancel={hideEndpointModalConfirm}
+          onSaved={handleUpdate}
+        />
+      )}
+    </div>
+  )
+}
+
+export default EndpointCard
diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx
new file mode 100644
index 0000000000..2116a5474a
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx
@@ -0,0 +1,122 @@
+import React, { useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useContext } from 'use-context-selector'
+import { useBoolean } from 'ahooks'
+import {
+  RiAddLine,
+  RiApps2AddLine,
+  RiBookOpenLine,
+} from '@remixicon/react'
+import EndpointModal from './endpoint-modal'
+import EndpointCard from './endpoint-card'
+import { NAME_FIELD } from './utils'
+import { toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
+import ActionButton from '@/app/components/base/action-button'
+import Tooltip from '@/app/components/base/tooltip'
+import Toast from '@/app/components/base/toast'
+import {
+  useCreateEndpoint,
+  useEndpointList,
+  useInvalidateEndpointList,
+} from '@/service/use-endpoints'
+import type { PluginDetail } from '@/app/components/plugins/types'
+import { LanguagesSupported } from '@/i18n/language'
+import I18n from '@/context/i18n'
+import cn from '@/utils/classnames'
+
+type Props = {
+  detail: PluginDetail
+}
+const EndpointList = ({ detail }: Props) => {
+  const { t } = useTranslation()
+  const { locale } = useContext(I18n)
+  const pluginUniqueID = detail.plugin_unique_identifier
+  const declaration = detail.declaration.endpoint
+  const showTopBorder = detail.declaration.tool
+  const { data } = useEndpointList(detail.plugin_id)
+  const invalidateEndpointList = useInvalidateEndpointList()
+
+  const [isShowEndpointModal, {
+    setTrue: showEndpointModal,
+    setFalse: hideEndpointModal,
+  }] = useBoolean(false)
+
+  const formSchemas = useMemo(() => {
+    return toolCredentialToFormSchemas([NAME_FIELD, ...declaration.settings])
+  }, [declaration.settings])
+
+  const { mutate: createEndpoint } = useCreateEndpoint({
+    onSuccess: async () => {
+      await invalidateEndpointList(detail.plugin_id)
+      hideEndpointModal()
+    },
+    onError: () => {
+      Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') })
+    },
+  })
+
+  const handleCreate = (state: any) => createEndpoint({
+    pluginUniqueID,
+    state,
+  })
+
+  if (!data)
+    return null
+
+  return (
+    <div className={cn('px-4 py-2 border-divider-subtle', showTopBorder && 'border-t')}>
+      <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'>
+        <div className='flex items-center gap-0.5'>
+          {t('plugin.detailPanel.endpoints')}
+          <Tooltip
+            position='right'
+            needsDelay
+            popupClassName='w-[240px] p-4 rounded-xl bg-components-panel-bg-blur border-[0.5px] border-components-panel-border'
+            popupContent={
+              <div className='flex flex-col gap-2'>
+                <div className='w-8 h-8 flex items-center justify-center bg-background-default-subtle rounded-lg border-[0.5px] border-components-panel-border-subtle'>
+                  <RiApps2AddLine className='w-4 h-4 text-text-tertiary' />
+                </div>
+                <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointsTip')}</div>
+                <a
+                  href={`https://docs.dify.ai/${locale === LanguagesSupported[1] ? 'v/zh-hans/' : ''}guides/api-documentation/endpoint`}
+                  target='_blank'
+                  rel='noopener noreferrer'
+                >
+                  <div className='inline-flex items-center gap-1 text-text-accent system-xs-regular cursor-pointer'>
+                    <RiBookOpenLine className='w-3 h-3' />
+                    {t('plugin.detailPanel.endpointsDocLink')}
+                  </div>
+                </a>
+              </div>
+            }
+          />
+        </div>
+        <ActionButton onClick={showEndpointModal}>
+          <RiAddLine className='w-4 h-4' />
+        </ActionButton>
+      </div>
+      {data.endpoints.length === 0 && (
+        <div className='mb-1 p-3 flex justify-center rounded-[10px] bg-background-section text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointsEmpty')}</div>
+      )}
+      <div className='flex flex-col gap-2'>
+        {data.endpoints.map((item, index) => (
+          <EndpointCard
+            key={index}
+            data={item}
+            handleChange={() => invalidateEndpointList(detail.plugin_id)}
+          />
+        ))}
+      </div>
+      {isShowEndpointModal && (
+        <EndpointModal
+          formSchemas={formSchemas}
+          onCancel={hideEndpointModal}
+          onSaved={handleCreate}
+        />
+      )}
+    </div>
+  )
+}
+
+export default EndpointList
diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx
new file mode 100644
index 0000000000..e150d72dc3
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx
@@ -0,0 +1,96 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import { RiArrowRightUpLine, RiCloseLine } from '@remixicon/react'
+import ActionButton from '@/app/components/base/action-button'
+import Button from '@/app/components/base/button'
+import Drawer from '@/app/components/base/drawer'
+import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form'
+import Toast from '@/app/components/base/toast'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import cn from '@/utils/classnames'
+
+type Props = {
+  formSchemas: any
+  defaultValues?: any
+  onCancel: () => void
+  onSaved: (value: Record<string, any>) => void
+}
+
+const EndpointModal: FC<Props> = ({
+  formSchemas,
+  defaultValues = {},
+  onCancel,
+  onSaved,
+}) => {
+  const getValueFromI18nObject = useRenderI18nObject()
+  const { t } = useTranslation()
+  const [tempCredential, setTempCredential] = React.useState<any>(defaultValues)
+
+  const handleSave = () => {
+    for (const field of formSchemas) {
+      if (field.required && !tempCredential[field.name]) {
+        Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: getValueFromI18nObject(field.label) }) })
+        return
+      }
+    }
+    onSaved(tempCredential)
+  }
+
+  return (
+    <Drawer
+      isOpen
+      clickOutsideNotOpen={false}
+      onClose={onCancel}
+      footer={null}
+      mask
+      positionCenter={false}
+      panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')}
+    >
+      <>
+        <div className='p-4 pb-2'>
+          <div className='flex items-center justify-between'>
+            <div className='text-text-primary system-xl-semibold'>{t('plugin.detailPanel.endpointModalTitle')}</div>
+            <ActionButton onClick={onCancel}>
+              <RiCloseLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+          <div className='mt-0.5 text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointModalDesc')}</div>
+        </div>
+        <div className='grow overflow-y-auto'>
+          <div className='px-4 py-2'>
+            <Form
+              value={tempCredential}
+              onChange={(v) => {
+                setTempCredential(v)
+              }}
+              formSchemas={formSchemas}
+              isEditMode={true}
+              showOnVariableMap={{}}
+              validating={false}
+              inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover'
+              fieldMoreInfo={item => item.url
+                ? (<a
+                  href={item.url}
+                  target='_blank' rel='noopener noreferrer'
+                  className='inline-flex items-center body-xs-regular text-text-accent-secondary'
+                >
+                  {t('tools.howToGet')}
+                  <RiArrowRightUpLine className='ml-1 w-3 h-3' />
+                </a>)
+                : null}
+            />
+          </div>
+          <div className={cn('p-4 pt-0 flex justify-end')} >
+            <div className='flex gap-2'>
+              <Button onClick={onCancel}>{t('common.operation.cancel')}</Button>
+              <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button>
+            </div>
+          </div>
+        </div>
+      </>
+    </Drawer>
+  )
+}
+export default React.memo(EndpointModal)
diff --git a/web/app/components/plugins/plugin-detail-panel/index.tsx b/web/app/components/plugins/plugin-detail-panel/index.tsx
new file mode 100644
index 0000000000..4d20c0877d
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/index.tsx
@@ -0,0 +1,62 @@
+'use client'
+import React from 'react'
+import type { FC } from 'react'
+import DetailHeader from './detail-header'
+import EndpointList from './endpoint-list'
+import ActionList from './action-list'
+import ModelList from './model-list'
+import AgentStrategyList from './agent-strategy-list'
+import Drawer from '@/app/components/base/drawer'
+import type { PluginDetail } from '@/app/components/plugins/types'
+import cn from '@/utils/classnames'
+
+type Props = {
+  detail?: PluginDetail
+  onUpdate: () => void
+  onHide: () => void
+}
+
+const PluginDetailPanel: FC<Props> = ({
+  detail,
+  onUpdate,
+  onHide,
+}) => {
+  const handleUpdate = (isDelete = false) => {
+    if (isDelete)
+      onHide()
+    onUpdate()
+  }
+
+  if (!detail)
+    return null
+
+  return (
+    <Drawer
+      isOpen={!!detail}
+      clickOutsideNotOpen={false}
+      onClose={onHide}
+      footer={null}
+      mask={false}
+      positionCenter={false}
+      panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')}
+    >
+      {detail && (
+        <>
+          <DetailHeader
+            detail={detail}
+            onHide={onHide}
+            onUpdate={handleUpdate}
+          />
+          <div className='grow overflow-y-auto'>
+            {!!detail.declaration.tool && <ActionList detail={detail} />}
+            {!!detail.declaration.agent_strategy && <AgentStrategyList detail={detail} />}
+            {!!detail.declaration.endpoint && <EndpointList detail={detail} />}
+            {!!detail.declaration.model && <ModelList detail={detail} />}
+          </div>
+        </>
+      )}
+    </Drawer>
+  )
+}
+
+export default PluginDetailPanel
diff --git a/web/app/components/plugins/plugin-detail-panel/model-list.tsx b/web/app/components/plugins/plugin-detail-panel/model-list.tsx
new file mode 100644
index 0000000000..5989a75945
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/model-list.tsx
@@ -0,0 +1,46 @@
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import ModelIcon from '@/app/components/header/account-setting/model-provider-page/model-icon'
+import ModelName from '@/app/components/header/account-setting/model-provider-page/model-name'
+import { useModelProviderModelList } from '@/service/use-models'
+import type { PluginDetail } from '@/app/components/plugins/types'
+
+type Props = {
+  detail: PluginDetail
+}
+
+const ModelList = ({
+  detail,
+}: Props) => {
+  const { t } = useTranslation()
+  const { data: res } = useModelProviderModelList(`${detail.plugin_id}/${detail.name}`)
+
+  if (!res)
+    return null
+
+  return (
+    <div className='px-4 py-2'>
+      <div className='mb-1 h-6 flex items-center text-text-secondary system-sm-semibold-uppercase'>{t('plugin.detailPanel.modelNum', { num: res.data.length })}</div>
+      <div className='flex flex-col'>
+        {res.data.map(model => (
+          <div key={model.model} className='h-6 py-1 flex items-center'>
+            <ModelIcon
+              className='shrink-0 mr-2'
+              provider={(model as any).provider}
+              modelName={model.model}
+            />
+            <ModelName
+              className='grow text-text-secondary system-md-regular'
+              modelItem={model}
+              showModelType
+              showMode
+              showContextSize
+            />
+          </div>
+        ))}
+      </div>
+    </div>
+  )
+}
+
+export default ModelList
diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx
new file mode 100644
index 0000000000..ac4ef3452b
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx
@@ -0,0 +1,251 @@
+import type {
+  FC,
+  ReactNode,
+} from 'react'
+import { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import type {
+  DefaultModel,
+  FormValue,
+} from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { ModelStatusEnum, ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector'
+import {
+  useModelList,
+} from '@/app/components/header/account-setting/model-provider-page/hooks'
+import AgentModelTrigger from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger'
+import Trigger from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger'
+import type { TriggerProps } from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import LLMParamsPanel from './llm-params-panel'
+import TTSParamsPanel from './tts-params-panel'
+import { useProviderContext } from '@/context/provider-context'
+import cn from '@/utils/classnames'
+
+export type ModelParameterModalProps = {
+  popupClassName?: string
+  portalToFollowElemContentClassName?: string
+  isAdvancedMode: boolean
+  value: any
+  setModel: (model: any) => void
+  renderTrigger?: (v: TriggerProps) => ReactNode
+  readonly?: boolean
+  isInWorkflow?: boolean
+  isAgentStrategy?: boolean
+  scope?: string
+}
+
+const ModelParameterModal: FC<ModelParameterModalProps> = ({
+  popupClassName,
+  portalToFollowElemContentClassName,
+  isAdvancedMode,
+  value,
+  setModel,
+  renderTrigger,
+  readonly,
+  isInWorkflow,
+  isAgentStrategy,
+  scope = ModelTypeEnum.textGeneration,
+}) => {
+  const { t } = useTranslation()
+  const { isAPIKeySet } = useProviderContext()
+  const [open, setOpen] = useState(false)
+  const scopeArray = scope.split('&')
+  const scopeFeatures = useMemo(() => {
+    if (scopeArray.includes('all'))
+      return []
+    return scopeArray.filter(item => ![
+      ModelTypeEnum.textGeneration,
+      ModelTypeEnum.textEmbedding,
+      ModelTypeEnum.rerank,
+      ModelTypeEnum.moderation,
+      ModelTypeEnum.speech2text,
+      ModelTypeEnum.tts,
+    ].includes(item as ModelTypeEnum))
+  }, [scopeArray])
+
+  const { data: textGenerationList } = useModelList(ModelTypeEnum.textGeneration)
+  const { data: textEmbeddingList } = useModelList(ModelTypeEnum.textEmbedding)
+  const { data: rerankList } = useModelList(ModelTypeEnum.rerank)
+  const { data: moderationList } = useModelList(ModelTypeEnum.moderation)
+  const { data: sttList } = useModelList(ModelTypeEnum.speech2text)
+  const { data: ttsList } = useModelList(ModelTypeEnum.tts)
+
+  const scopedModelList = useMemo(() => {
+    const resultList: any[] = []
+    if (scopeArray.includes('all')) {
+      return [
+        ...textGenerationList,
+        ...textEmbeddingList,
+        ...rerankList,
+        ...sttList,
+        ...ttsList,
+        ...moderationList,
+      ]
+    }
+    if (scopeArray.includes(ModelTypeEnum.textGeneration))
+      return textGenerationList
+    if (scopeArray.includes(ModelTypeEnum.textEmbedding))
+      return textEmbeddingList
+    if (scopeArray.includes(ModelTypeEnum.rerank))
+      return rerankList
+    if (scopeArray.includes(ModelTypeEnum.moderation))
+      return moderationList
+    if (scopeArray.includes(ModelTypeEnum.speech2text))
+      return sttList
+    if (scopeArray.includes(ModelTypeEnum.tts))
+      return ttsList
+    return resultList
+  }, [scopeArray, textGenerationList, textEmbeddingList, rerankList, sttList, ttsList, moderationList])
+
+  const { currentProvider, currentModel } = useMemo(() => {
+    const currentProvider = scopedModelList.find(item => item.provider === value?.provider)
+    const currentModel = currentProvider?.models.find((model: { model: string }) => model.model === value?.model)
+    return {
+      currentProvider,
+      currentModel,
+    }
+  }, [scopedModelList, value?.provider, value?.model])
+
+  const hasDeprecated = useMemo(() => {
+    return !currentProvider || !currentModel
+  }, [currentModel, currentProvider])
+  const modelDisabled = useMemo(() => {
+    return currentModel?.status !== ModelStatusEnum.active
+  }, [currentModel?.status])
+  const disabled = useMemo(() => {
+    return !isAPIKeySet || hasDeprecated || modelDisabled
+  }, [hasDeprecated, isAPIKeySet, modelDisabled])
+
+  const handleChangeModel = ({ provider, model }: DefaultModel) => {
+    const targetProvider = scopedModelList.find(modelItem => modelItem.provider === provider)
+    const targetModelItem = targetProvider?.models.find((modelItem: { model: string }) => modelItem.model === model)
+    const model_type = targetModelItem?.model_type as string
+    setModel({
+      provider,
+      model,
+      model_type,
+      ...(model_type === ModelTypeEnum.textGeneration ? {
+        mode: targetModelItem?.model_properties.mode as string,
+        completion_params: {},
+      } : {}),
+    })
+  }
+
+  const handleLLMParamsChange = (newParams: FormValue) => {
+    const newValue = {
+      ...(value?.completionParams || {}),
+      completion_params: newParams,
+    }
+    setModel({
+      ...value,
+      ...newValue,
+    })
+  }
+
+  const handleTTSParamsChange = (language: string, voice: string) => {
+    setModel({
+      ...value,
+      language,
+      voice,
+    })
+  }
+
+  return (
+    <PortalToFollowElem
+      open={open}
+      onOpenChange={setOpen}
+      placement={isInWorkflow ? 'left' : 'bottom-end'}
+      offset={4}
+    >
+      <div className='relative'>
+        <PortalToFollowElemTrigger
+          onClick={() => {
+            if (readonly)
+              return
+            setOpen(v => !v)
+          }}
+          className='block'
+        >
+          {
+            renderTrigger
+              ? renderTrigger({
+                open,
+                disabled,
+                modelDisabled,
+                hasDeprecated,
+                currentProvider,
+                currentModel,
+                providerName: value?.provider,
+                modelId: value?.model,
+              })
+              : (isAgentStrategy
+                ? <AgentModelTrigger
+                  disabled={disabled}
+                  hasDeprecated={hasDeprecated}
+                  currentProvider={currentProvider}
+                  currentModel={currentModel}
+                  providerName={value?.provider}
+                  modelId={value?.model}
+                  scope={scope}
+                />
+                : <Trigger
+                  disabled={disabled}
+                  isInWorkflow={isInWorkflow}
+                  modelDisabled={modelDisabled}
+                  hasDeprecated={hasDeprecated}
+                  currentProvider={currentProvider}
+                  currentModel={currentModel}
+                  providerName={value?.provider}
+                  modelId={value?.model}
+                />
+              )
+          }
+        </PortalToFollowElemTrigger>
+        <PortalToFollowElemContent className={cn('z-50', portalToFollowElemContentClassName)}>
+          <div className={cn(popupClassName, 'w-[389px] rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg')}>
+            <div className={cn('max-h-[420px] p-4 pt-3 overflow-y-auto')}>
+              <div className='relative'>
+                <div className={cn('mb-1 h-6 flex items-center text-text-secondary system-sm-semibold')}>
+                  {t('common.modelProvider.model').toLocaleUpperCase()}
+                </div>
+                <ModelSelector
+                  defaultModel={(value?.provider || value?.model) ? { provider: value?.provider, model: value?.model } : undefined}
+                  modelList={scopedModelList}
+                  scopeFeatures={scopeFeatures}
+                  onSelect={handleChangeModel}
+                />
+              </div>
+              {(currentModel?.model_type === ModelTypeEnum.textGeneration || currentModel?.model_type === ModelTypeEnum.tts) && (
+                <div className='my-3 h-[1px] bg-divider-subtle' />
+              )}
+              {currentModel?.model_type === ModelTypeEnum.textGeneration && (
+                <LLMParamsPanel
+                  provider={value?.provider}
+                  modelId={value?.model}
+                  completionParams={value?.completion_params || {}}
+                  onCompletionParamsChange={handleLLMParamsChange}
+                  isAdvancedMode={isAdvancedMode}
+                />
+              )}
+              {currentModel?.model_type === ModelTypeEnum.tts && (
+                <TTSParamsPanel
+                  currentModel={currentModel}
+                  language={value?.language}
+                  voice={value?.voice}
+                  onChange={handleTTSParamsChange}
+                />
+              )}
+            </div>
+          </div>
+        </PortalToFollowElemContent>
+      </div>
+    </PortalToFollowElem>
+  )
+}
+
+export default ModelParameterModal
diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx
new file mode 100644
index 0000000000..eb3c1102aa
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx
@@ -0,0 +1,126 @@
+import React, { useMemo } from 'react'
+import useSWR from 'swr'
+import { useTranslation } from 'react-i18next'
+import PresetsParameter from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter'
+import ParameterItem from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item'
+import Loading from '@/app/components/base/loading'
+import type {
+  FormValue,
+  ModelParameterRule,
+} from '@/app/components/header/account-setting/model-provider-page/declarations'
+import type { ParameterValue } from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item'
+import { fetchModelParameterRules } from '@/service/common'
+import { TONE_LIST } from '@/config'
+import cn from '@/utils/classnames'
+
+const PROVIDER_WITH_PRESET_TONE = ['langgenius/openai/openai', 'langgenius/azure_openai/azure_openai']
+const stopParameterRule: ModelParameterRule = {
+  default: [],
+  help: {
+    en_US: 'Up to four sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.',
+    zh_Hans: '最多四个序列，API 将停止生成更多的 token。返回的文本将不包含停止序列。',
+  },
+  label: {
+    en_US: 'Stop sequences',
+    zh_Hans: '停止序列',
+  },
+  name: 'stop',
+  required: false,
+  type: 'tag',
+  tagPlaceholder: {
+    en_US: 'Enter sequence and press Tab',
+    zh_Hans: '输入序列并按 Tab 键',
+  },
+}
+
+type Props = {
+  isAdvancedMode: boolean
+  provider: string
+  modelId: string
+  completionParams: FormValue
+  onCompletionParamsChange: (newParams: FormValue) => void
+}
+
+const LLMParamsPanel = ({
+  isAdvancedMode,
+  provider,
+  modelId,
+  completionParams,
+  onCompletionParamsChange,
+}: Props) => {
+  const { t } = useTranslation()
+  const { data: parameterRulesData, isLoading } = useSWR(
+    (provider && modelId)
+      ? `/workspaces/current/model-providers/${provider}/models/parameter-rules?model=${modelId}`
+      : null, fetchModelParameterRules,
+  )
+
+  const parameterRules: ModelParameterRule[] = useMemo(() => {
+    return parameterRulesData?.data || []
+  }, [parameterRulesData])
+
+  const handleSelectPresetParameter = (toneId: number) => {
+    const tone = TONE_LIST.find(tone => tone.id === toneId)
+    if (tone) {
+      onCompletionParamsChange({
+        ...completionParams,
+        ...tone.config,
+      })
+    }
+  }
+  const handleParamChange = (key: string, value: ParameterValue) => {
+    onCompletionParamsChange({
+      ...completionParams,
+      [key]: value,
+    })
+  }
+  const handleSwitch = (key: string, value: boolean, assignValue: ParameterValue) => {
+    if (!value) {
+      const newCompletionParams = { ...completionParams }
+      delete newCompletionParams[key]
+
+      onCompletionParamsChange(newCompletionParams)
+    }
+    if (value) {
+      onCompletionParamsChange({
+        ...completionParams,
+        [key]: assignValue,
+      })
+    }
+  }
+
+  if (isLoading) {
+    return (
+      <div className='mt-5'><Loading /></div>
+    )
+  }
+
+  return (
+    <>
+      <div className='flex items-center justify-between mb-2'>
+        <div className={cn('h-6 flex items-center text-text-secondary system-sm-semibold')}>{t('common.modelProvider.parameters')}</div>
+        {
+          PROVIDER_WITH_PRESET_TONE.includes(provider) && (
+            <PresetsParameter onSelect={handleSelectPresetParameter} />
+          )
+        }
+      </div>
+      {!!parameterRules.length && (
+        [
+          ...parameterRules,
+          ...(isAdvancedMode ? [stopParameterRule] : []),
+        ].map(parameter => (
+          <ParameterItem
+            key={`${modelId}-${parameter.name}`}
+            parameterRule={parameter}
+            value={completionParams?.[parameter.name]}
+            onChange={v => handleParamChange(parameter.name, v)}
+            onSwitch={(checked, assignValue) => handleSwitch(parameter.name, checked, assignValue)}
+            isInWorkflow
+          />
+        )))}
+    </>
+  )
+}
+
+export default LLMParamsPanel
diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx
new file mode 100644
index 0000000000..a13b9905d3
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx
@@ -0,0 +1,67 @@
+import React, { useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
+import { languages } from '@/i18n/language'
+import { PortalSelect } from '@/app/components/base/select'
+import cn from '@/utils/classnames'
+
+type Props = {
+  currentModel: any
+  language: string
+  voice: string
+  onChange: (language: string, voice: string) => void
+}
+
+const TTSParamsPanel = ({
+  currentModel,
+  language,
+  voice,
+  onChange,
+}: Props) => {
+  const { t } = useTranslation()
+  const voiceList = useMemo(() => {
+    if (!currentModel)
+      return []
+    return currentModel.model_properties.voices.map((item: { mode: any }) => ({
+      ...item,
+      value: item.mode,
+    }))
+  }, [currentModel])
+  const setLanguage = (language: string) => {
+    onChange(language, voice)
+  }
+  const setVoice = (voice: string) => {
+    onChange(language, voice)
+  }
+  return (
+    <>
+      <div className='mb-3'>
+        <div className='mb-1 py-1 flex items-center text-text-secondary system-sm-semibold'>
+          {t('appDebug.voice.voiceSettings.language')}
+        </div>
+        <PortalSelect
+          triggerClassName='h-8'
+          popupClassName={cn('z-[1000]')}
+          popupInnerClassName={cn('w-[354px]')}
+          value={language}
+          items={languages.filter(item => item.supported)}
+          onSelect={item => setLanguage(item.value as string)}
+        />
+      </div>
+      <div className='mb-3'>
+        <div className='mb-1 py-1 flex items-center text-text-secondary system-sm-semibold'>
+          {t('appDebug.voice.voiceSettings.voice')}
+        </div>
+        <PortalSelect
+          triggerClassName='h-8'
+          popupClassName={cn('z-[1000]')}
+          popupInnerClassName={cn('w-[354px]')}
+          value={voice}
+          items={voiceList}
+          onSelect={item => setVoice(item.value as string)}
+        />
+      </div>
+    </>
+  )
+}
+
+export default TTSParamsPanel
diff --git a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx
new file mode 100644
index 0000000000..13a48dbabe
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx
@@ -0,0 +1,172 @@
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiAddLine,
+  RiArrowDropDownLine,
+  RiQuestionLine,
+} from '@remixicon/react'
+import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector'
+import ActionButton from '@/app/components/base/action-button'
+import Tooltip from '@/app/components/base/tooltip'
+import Divider from '@/app/components/base/divider'
+import type { ToolValue } from '@/app/components/workflow/block-selector/types'
+import type { Node } from 'reactflow'
+import type { NodeOutPutVar } from '@/app/components/workflow/types'
+import cn from '@/utils/classnames'
+
+type Props = {
+  disabled?: boolean
+  value: ToolValue[]
+  label: string
+  required?: boolean
+  tooltip?: any
+  supportCollapse?: boolean
+  scope?: string
+  onChange: (value: ToolValue[]) => void
+  nodeOutputVars: NodeOutPutVar[],
+  availableNodes: Node[],
+  nodeId?: string
+}
+
+const MultipleToolSelector = ({
+  disabled,
+  value = [],
+  label,
+  required,
+  tooltip,
+  supportCollapse,
+  scope,
+  onChange,
+  nodeOutputVars,
+  availableNodes,
+  nodeId,
+}: Props) => {
+  const { t } = useTranslation()
+  const enabledCount = value.filter(item => item.enabled).length
+  // collapse control
+  const [collapse, setCollapse] = React.useState(false)
+  const handleCollapse = () => {
+    if (supportCollapse)
+      setCollapse(!collapse)
+  }
+
+  // add tool
+  const [open, setOpen] = React.useState(false)
+  const [panelShowState, setPanelShowState] = React.useState(true)
+  const handleAdd = (val: ToolValue) => {
+    const newValue = [...value, val]
+    // deduplication
+    const deduplication = newValue.reduce((acc, cur) => {
+      if (!acc.find(item => item.provider_name === cur.provider_name && item.tool_name === cur.tool_name))
+        acc.push(cur)
+      return acc
+    }, [] as ToolValue[])
+    // update value
+    onChange(deduplication)
+    setOpen(false)
+  }
+
+  // delete tool
+  const handleDelete = (index: number) => {
+    const newValue = [...value]
+    newValue.splice(index, 1)
+    onChange(newValue)
+  }
+
+  // configure tool
+  const handleConfigure = (val: ToolValue, index: number) => {
+    const newValue = [...value]
+    newValue[index] = val
+    onChange(newValue)
+  }
+
+  return (
+    <>
+      <div className='flex items-center mb-1'>
+        <div
+          className={cn('relative grow flex items-center gap-0.5', supportCollapse && 'cursor-pointer')}
+          onClick={handleCollapse}
+        >
+          <div className='h-6 flex items-center text-text-secondary system-sm-semibold-uppercase'>{label}</div>
+          {required && <div className='text-red-500'>*</div>}
+          {tooltip && (
+            <Tooltip
+              popupContent={tooltip}
+              needsDelay
+            >
+              <div><RiQuestionLine className='w-3.5 h-3.5 text-text-quaternary hover:text-text-tertiary' /></div>
+            </Tooltip>
+          )}
+          {supportCollapse && (
+            <div className='absolute -left-4 top-1'>
+              <RiArrowDropDownLine
+                className={cn(
+                  'w-4 h-4 text-text-tertiary',
+                  collapse && 'transform -rotate-90',
+                )}
+              />
+            </div>
+          )}
+        </div>
+        {value.length > 0 && (
+          <>
+            <div className='flex items-center gap-1 text-text-tertiary system-xs-medium'>
+              <span>{`${enabledCount}/${value.length}`}</span>
+              <span>{t('appDebug.agent.tools.enabled')}</span>
+            </div>
+            <Divider type='vertical' className='ml-3 mr-1 h-3' />
+          </>
+        )}
+        {!disabled && (
+          <ActionButton className='mx-1' onClick={() => {
+            setOpen(!open)
+            setPanelShowState(true)
+          }}>
+            <RiAddLine className='w-4 h-4' />
+          </ActionButton>
+        )}
+      </div>
+      {!collapse && (
+        <>
+          <ToolSelector
+            nodeId={nodeId}
+            nodeOutputVars={nodeOutputVars}
+            availableNodes={availableNodes}
+            scope={scope}
+            value={undefined}
+            selectedTools={value}
+            onSelect={handleAdd}
+            controlledState={open}
+            onControlledStateChange={setOpen}
+            trigger={
+              <div className=''></div>
+            }
+            panelShowState={panelShowState}
+            onPanelShowStateChange={setPanelShowState}
+
+          />
+          {value.length === 0 && (
+            <div className='p-3 flex justify-center rounded-[10px] bg-background-section text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.empty')}</div>
+          )}
+          {value.length > 0 && value.map((item, index) => (
+            <div className='mb-1' key={index}>
+              <ToolSelector
+                nodeId={nodeId}
+                nodeOutputVars={nodeOutputVars}
+                availableNodes={availableNodes}
+                scope={scope}
+                value={item}
+                selectedTools={value}
+                onSelect={item => handleConfigure(item, index)}
+                onDelete={() => handleDelete(index)}
+                supportEnableSwitch
+              />
+            </div>
+          ))}
+        </>
+      )}
+    </>
+  )
+}
+
+export default MultipleToolSelector
diff --git a/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx b/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx
new file mode 100644
index 0000000000..422ff447a4
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx
@@ -0,0 +1,101 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useRef, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { PluginSource } from '../types'
+import { RiArrowRightUpLine, RiMoreFill } from '@remixicon/react'
+import ActionButton from '@/app/components/base/action-button'
+// import Button from '@/app/components/base/button'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import cn from '@/utils/classnames'
+
+type Props = {
+  source: PluginSource
+  onInfo: () => void
+  onCheckVersion: () => void
+  onRemove: () => void
+  detailUrl: string
+}
+
+const OperationDropdown: FC<Props> = ({
+  source,
+  detailUrl,
+  onInfo,
+  onCheckVersion,
+  onRemove,
+}) => {
+  const { t } = useTranslation()
+  const [open, doSetOpen] = useState(false)
+  const openRef = useRef(open)
+  const setOpen = useCallback((v: boolean) => {
+    doSetOpen(v)
+    openRef.current = v
+  }, [doSetOpen])
+
+  const handleTrigger = useCallback(() => {
+    setOpen(!openRef.current)
+  }, [setOpen])
+
+  return (
+    <PortalToFollowElem
+      open={open}
+      onOpenChange={setOpen}
+      placement='bottom-end'
+      offset={{
+        mainAxis: -12,
+        crossAxis: 36,
+      }}
+    >
+      <PortalToFollowElemTrigger onClick={handleTrigger}>
+        <div>
+          <ActionButton className={cn(open && 'bg-state-base-hover')}>
+            <RiMoreFill className='w-4 h-4' />
+          </ActionButton>
+        </div>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent className='z-50'>
+        <div className='w-[160px] p-1 bg-components-panel-bg-blur rounded-xl border-[0.5px] border-components-panel-border shadow-lg'>
+          {source === PluginSource.github && (
+            <div
+              onClick={() => {
+                onInfo()
+                handleTrigger()
+              }}
+              className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'
+            >{t('plugin.detailPanel.operation.info')}</div>
+          )}
+          {source === PluginSource.github && (
+            <div
+              onClick={() => {
+                onCheckVersion()
+                handleTrigger()
+              }}
+              className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'
+            >{t('plugin.detailPanel.operation.checkUpdate')}</div>
+          )}
+          {(source === PluginSource.marketplace || source === PluginSource.github) && (
+            <a href={detailUrl} target='_blank' className='flex items-center px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'>
+              <span className='grow'>{t('plugin.detailPanel.operation.viewDetail')}</span>
+              <RiArrowRightUpLine className='shrink-0 w-3.5 h-3.5 text-text-tertiary' />
+            </a>
+          )}
+          {(source === PluginSource.marketplace || source === PluginSource.github) && (
+            <div className='my-1 h-px bg-divider-subtle'></div>
+          )}
+          <div
+            onClick={() => {
+              onRemove()
+              handleTrigger()
+            }}
+            className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:text-text-destructive hover:bg-state-destructive-hover'
+          >{t('plugin.detailPanel.operation.remove')}</div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+export default React.memo(OperationDropdown)
diff --git a/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx b/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx
new file mode 100644
index 0000000000..a7f1d84071
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx
@@ -0,0 +1,164 @@
+'use client'
+import type { FC } from 'react'
+import React, { useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiArrowLeftLine,
+  RiCloseLine,
+} from '@remixicon/react'
+import Drawer from '@/app/components/base/drawer'
+import ActionButton from '@/app/components/base/action-button'
+import Icon from '@/app/components/plugins/card/base/card-icon'
+import Description from '@/app/components/plugins/card/base/description'
+import Divider from '@/app/components/base/divider'
+import type {
+  StrategyDetail,
+} from '@/app/components/plugins/types'
+import type { Locale } from '@/i18n'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import { API_PREFIX } from '@/config'
+import cn from '@/utils/classnames'
+
+type Props = {
+  provider: {
+    author: string
+    name: string
+    description: Record<Locale, string>
+    tenant_id: string
+    icon: string
+    label: Record<Locale, string>
+    tags: string[]
+  }
+  detail: StrategyDetail
+  onHide: () => void
+}
+
+const StrategyDetail: FC<Props> = ({
+  provider,
+  detail,
+  onHide,
+}) => {
+  const getValueFromI18nObject = useRenderI18nObject()
+  const { t } = useTranslation()
+
+  const outputSchema = useMemo(() => {
+    const res: any[] = []
+    if (!detail.output_schema)
+      return []
+    Object.keys(detail.output_schema.properties).forEach((outputKey) => {
+      const output = detail.output_schema.properties[outputKey]
+      res.push({
+        name: outputKey,
+        type: output.type === 'array'
+          ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]`
+          : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`,
+        description: output.description,
+      })
+    })
+    return res
+  }, [detail.output_schema])
+
+  const getType = (type: string) => {
+    if (type === 'number-input')
+      return t('tools.setBuiltInTools.number')
+    if (type === 'text-input')
+      return t('tools.setBuiltInTools.string')
+    if (type === 'file')
+      return t('tools.setBuiltInTools.file')
+    if (type === 'array[tools]')
+      return 'multiple-tool-select'
+    return type
+  }
+
+  return (
+    <Drawer
+      isOpen
+      clickOutsideNotOpen={false}
+      onClose={onHide}
+      footer={null}
+      mask={false}
+      positionCenter={false}
+      panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')}
+    >
+      <>
+        {/* header */}
+        <div className='relative p-4 pb-3 border-b border-divider-subtle'>
+          <div className='absolute top-3 right-3'>
+            <ActionButton onClick={onHide}>
+              <RiCloseLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+          <div
+            className='mb-2 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer'
+            onClick={onHide}
+          >
+            <RiArrowLeftLine className='w-4 h-4' />
+            BACK
+          </div>
+          <div className='flex items-center gap-1'>
+            <Icon size='tiny' className='w-6 h-6' src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${provider.tenant_id}&filename=${provider.icon}`} />
+            <div className=''>{getValueFromI18nObject(provider.label)}</div>
+          </div>
+          <div className='mt-1 text-text-primary system-md-semibold'>{getValueFromI18nObject(detail.identity.label)}</div>
+          <Description className='mt-3' text={getValueFromI18nObject(detail.description)} descriptionLineRows={2}></Description>
+        </div>
+        {/* form */}
+        <div className='h-full'>
+          <div className='flex flex-col h-full overflow-y-auto'>
+            <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>{t('tools.setBuiltInTools.parameters')}</div>
+            <div className='px-4'>
+              {detail.parameters.length > 0 && (
+                <div className='py-2 space-y-1'>
+                  {detail.parameters.map((item: any, index) => (
+                    <div key={index} className='py-1'>
+                      <div className='flex items-center gap-2'>
+                        <div className='text-text-secondary code-sm-semibold'>{getValueFromI18nObject(item.label)}</div>
+                        <div className='text-text-tertiary system-xs-regular'>
+                          {getType(item.type)}
+                        </div>
+                        {item.required && (
+                          <div className='text-text-warning-secondary system-xs-medium'>{t('tools.setBuiltInTools.required')}</div>
+                        )}
+                      </div>
+                      {item.human_description && (
+                        <div className='mt-0.5 text-text-tertiary system-xs-regular'>
+                          {getValueFromI18nObject(item.human_description)}
+                        </div>
+                      )}
+                    </div>
+                  ))}
+                </div>
+              )}
+            </div>
+            {detail.output_schema && (
+              <>
+                <div className='px-4'>
+                  <Divider className="!mt-2" />
+                </div>
+                <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>OUTPUT</div>
+                {outputSchema.length > 0 && (
+                  <div className='px-4 py-2 space-y-1'>
+                    {outputSchema.map((outputItem, index) => (
+                      <div key={index} className='py-1'>
+                        <div className='flex items-center gap-2'>
+                          <div className='text-text-secondary code-sm-semibold'>{outputItem.name}</div>
+                          <div className='text-text-tertiary system-xs-regular'>{outputItem.type}</div>
+                        </div>
+                        {outputItem.description && (
+                          <div className='mt-0.5 text-text-tertiary system-xs-regular'>
+                            {outputItem.description}
+                          </div>
+                        )}
+                      </div>
+                    ))}
+                  </div>
+                )}
+              </>
+            )}
+          </div>
+        </div>
+      </>
+    </Drawer>
+  )
+}
+export default StrategyDetail
diff --git a/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx b/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx
new file mode 100644
index 0000000000..fd2fea99e0
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx
@@ -0,0 +1,50 @@
+'use client'
+import React, { useState } from 'react'
+import StrategyDetailPanel from './strategy-detail'
+import type {
+  StrategyDetail,
+} from '@/app/components/plugins/types'
+import type { Locale } from '@/i18n'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import cn from '@/utils/classnames'
+
+type Props = {
+  provider: {
+    author: string
+    name: string
+    description: Record<Locale, string>
+    tenant_id: string
+    icon: string
+    label: Record<Locale, string>
+    tags: string[]
+  }
+  detail: StrategyDetail
+}
+
+const StrategyItem = ({
+  provider,
+  detail,
+}: Props) => {
+  const getValueFromI18nObject = useRenderI18nObject()
+  const [showDetail, setShowDetail] = useState(false)
+
+  return (
+    <>
+      <div
+        className={cn('mb-2 px-4 py-3 bg-components-panel-item-bg rounded-xl border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover')}
+        onClick={() => setShowDetail(true)}
+      >
+        <div className='pb-0.5 text-text-secondary system-md-semibold'>{getValueFromI18nObject(detail.identity.label)}</div>
+        <div className='text-text-tertiary system-xs-regular line-clamp-2' title={getValueFromI18nObject(detail.description)}>{getValueFromI18nObject(detail.description)}</div>
+      </div>
+      {showDetail && (
+        <StrategyDetailPanel
+          provider={provider}
+          detail={detail}
+          onHide={() => setShowDetail(false)}
+        />
+      )}
+    </>
+  )
+}
+export default StrategyItem
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts b/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts
new file mode 100644
index 0000000000..57c1fbd7c3
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts
@@ -0,0 +1,14 @@
+import {
+  usePluginManifestInfo,
+} from '@/service/use-plugins'
+
+export const usePluginInstalledCheck = (providerName = '') => {
+  const pluginID = providerName?.split('/').splice(0, 2).join('/')
+
+  const { data: manifest } = usePluginManifestInfo(pluginID)
+
+  return {
+    inMarketPlace: !!manifest,
+    manifest: manifest?.data.plugin,
+  }
+}
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx
new file mode 100644
index 0000000000..0b5e50a683
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx
@@ -0,0 +1,457 @@
+'use client'
+import type { FC } from 'react'
+import React, { useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import Link from 'next/link'
+import {
+  RiArrowLeftLine,
+  RiArrowRightUpLine,
+} from '@remixicon/react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import ToolTrigger from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger'
+import ToolItem from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-item'
+import ToolPicker from '@/app/components/workflow/block-selector/tool-picker'
+import Button from '@/app/components/base/button'
+import Indicator from '@/app/components/header/indicator'
+import ToolCredentialForm from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form'
+import Toast from '@/app/components/base/toast'
+import Textarea from '@/app/components/base/textarea'
+import Divider from '@/app/components/base/divider'
+import TabSlider from '@/app/components/base/tab-slider-plain'
+import ReasoningConfigForm from '@/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form'
+import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form'
+import { generateFormValue, getPlainValue, getStructureValue, toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
+
+import { useAppContext } from '@/context/app-context'
+import {
+  useAllBuiltInTools,
+  useAllCustomTools,
+  useAllWorkflowTools,
+  useInvalidateAllBuiltInTools,
+  useUpdateProviderCredentials,
+} from '@/service/use-tools'
+import { useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import { usePluginInstalledCheck } from '@/app/components/plugins/plugin-detail-panel/tool-selector/hooks'
+import { CollectionType } from '@/app/components/tools/types'
+import type { ToolDefaultValue, ToolValue } from '@/app/components/workflow/block-selector/types'
+import type {
+  OffsetOptions,
+  Placement,
+} from '@floating-ui/react'
+import { MARKETPLACE_API_PREFIX } from '@/config'
+import type { Node } from 'reactflow'
+import type { NodeOutPutVar } from '@/app/components/workflow/types'
+import cn from '@/utils/classnames'
+
+type Props = {
+  disabled?: boolean
+  placement?: Placement
+  offset?: OffsetOptions
+  scope?: string
+  value?: ToolValue
+  selectedTools?: ToolValue[]
+  onSelect: (tool: {
+    provider_name: string
+    tool_name: string
+    tool_label: string
+    settings?: Record<string, any>
+    parameters?: Record<string, any>
+    extra?: Record<string, any>
+  }) => void
+  onDelete?: () => void
+  supportEnableSwitch?: boolean
+  supportAddCustomTool?: boolean
+  trigger?: React.ReactNode
+  controlledState?: boolean
+  onControlledStateChange?: (state: boolean) => void
+  panelShowState?: boolean
+  onPanelShowStateChange?: (state: boolean) => void
+  nodeOutputVars: NodeOutPutVar[],
+  availableNodes: Node[],
+  nodeId?: string,
+}
+const ToolSelector: FC<Props> = ({
+  value,
+  selectedTools,
+  disabled,
+  placement = 'left',
+  offset = 4,
+  onSelect,
+  onDelete,
+  scope,
+  supportEnableSwitch,
+  trigger,
+  controlledState,
+  onControlledStateChange,
+  panelShowState,
+  onPanelShowStateChange,
+  nodeOutputVars,
+  availableNodes,
+  nodeId = '',
+}) => {
+  const { t } = useTranslation()
+  const [isShow, onShowChange] = useState(false)
+  const handleTriggerClick = () => {
+    if (disabled) return
+    onShowChange(true)
+  }
+
+  const { data: buildInTools } = useAllBuiltInTools()
+  const { data: customTools } = useAllCustomTools()
+  const { data: workflowTools } = useAllWorkflowTools()
+  const invalidateAllBuiltinTools = useInvalidateAllBuiltInTools()
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+
+  // plugin info check
+  const { inMarketPlace, manifest } = usePluginInstalledCheck(value?.provider_name)
+
+  const currentProvider = useMemo(() => {
+    const mergedTools = [...(buildInTools || []), ...(customTools || []), ...(workflowTools || [])]
+    return mergedTools.find((toolWithProvider) => {
+      return toolWithProvider.id === value?.provider_name
+    })
+  }, [value, buildInTools, customTools, workflowTools])
+
+  const [isShowChooseTool, setIsShowChooseTool] = useState(false)
+  const handleSelectTool = (tool: ToolDefaultValue) => {
+    const settingValues = generateFormValue(tool.params, toolParametersToFormSchemas(tool.paramSchemas.filter(param => param.form !== 'llm') as any))
+    const paramValues = generateFormValue(tool.params, toolParametersToFormSchemas(tool.paramSchemas.filter(param => param.form === 'llm') as any), true)
+    const toolValue = {
+      provider_name: tool.provider_id,
+      type: tool.provider_type,
+      tool_name: tool.tool_name,
+      tool_label: tool.tool_label,
+      settings: settingValues,
+      parameters: paramValues,
+      enabled: tool.is_team_authorization,
+      extra: {
+        description: '',
+      },
+      schemas: tool.paramSchemas,
+    }
+    onSelect(toolValue)
+    // setIsShowChooseTool(false)
+  }
+
+  const handleDescriptionChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
+    onSelect({
+      ...value,
+      extra: {
+        ...value?.extra,
+        description: e.target.value || '',
+      },
+    } as any)
+  }
+
+  // tool settings & params
+  const currentToolSettings = useMemo(() => {
+    if (!currentProvider) return []
+    return currentProvider.tools.find(tool => tool.name === value?.tool_name)?.parameters.filter(param => param.form !== 'llm') || []
+  }, [currentProvider, value])
+  const currentToolParams = useMemo(() => {
+    if (!currentProvider) return []
+    return currentProvider.tools.find(tool => tool.name === value?.tool_name)?.parameters.filter(param => param.form === 'llm') || []
+  }, [currentProvider, value])
+  const [currType, setCurrType] = useState('settings')
+  const showTabSlider = currentToolSettings.length > 0 && currentToolParams.length > 0
+  const userSettingsOnly = currentToolSettings.length > 0 && !currentToolParams.length
+  const reasoningConfigOnly = currentToolParams.length > 0 && !currentToolSettings.length
+
+  const settingsFormSchemas = useMemo(() => toolParametersToFormSchemas(currentToolSettings), [currentToolSettings])
+  const paramsFormSchemas = useMemo(() => toolParametersToFormSchemas(currentToolParams), [currentToolParams])
+
+  const handleSettingsFormChange = (v: Record<string, any>) => {
+    const newValue = getStructureValue(v)
+
+    const toolValue = {
+      ...value,
+      settings: newValue,
+    }
+    onSelect(toolValue as any)
+  }
+  const handleParamsFormChange = (v: Record<string, any>) => {
+    const toolValue = {
+      ...value,
+      parameters: v,
+    }
+    onSelect(toolValue as any)
+  }
+
+  const handleEnabledChange = (state: boolean) => {
+    onSelect({
+      ...value,
+      enabled: state,
+    } as any)
+  }
+
+  // authorization
+  const { isCurrentWorkspaceManager } = useAppContext()
+  const [isShowSettingAuth, setShowSettingAuth] = useState(false)
+  const handleCredentialSettingUpdate = () => {
+    invalidateAllBuiltinTools()
+    Toast.notify({
+      type: 'success',
+      message: t('common.api.actionSuccess'),
+    })
+    setShowSettingAuth(false)
+    onShowChange(false)
+  }
+
+  const { mutate: updatePermission } = useUpdateProviderCredentials({
+    onSuccess: handleCredentialSettingUpdate,
+  })
+
+  // install from marketplace
+  const currentTool = useMemo(() => {
+    return currentProvider?.tools.find(tool => tool.name === value?.tool_name)
+  }, [currentProvider?.tools, value?.tool_name])
+  const manifestIcon = useMemo(() => {
+    if (!manifest)
+      return ''
+    return `${MARKETPLACE_API_PREFIX}/plugins/${(manifest as any).plugin_id}/icon`
+  }, [manifest])
+  const handleInstall = async () => {
+    invalidateAllBuiltinTools()
+    invalidateInstalledPluginList()
+  }
+
+  return (
+    <>
+      <PortalToFollowElem
+        placement={placement}
+        offset={offset}
+        open={trigger ? controlledState : isShow}
+        onOpenChange={trigger ? onControlledStateChange : onShowChange}
+      >
+        <PortalToFollowElemTrigger
+          className='w-full'
+          onClick={() => {
+            if (!currentProvider || !currentTool) return
+            handleTriggerClick()
+          }}
+        >
+          {trigger}
+          {!trigger && !value?.provider_name && (
+            <ToolTrigger
+              isConfigure
+              open={isShow}
+              value={value}
+              provider={currentProvider}
+            />
+          )}
+          {!trigger && value?.provider_name && (
+            <ToolItem
+              open={isShow}
+              icon={currentProvider?.icon || manifestIcon}
+              providerName={value.provider_name}
+              toolLabel={value.tool_label || value.tool_name}
+              showSwitch={supportEnableSwitch}
+              switchValue={value.enabled}
+              onSwitchChange={handleEnabledChange}
+              onDelete={onDelete}
+              noAuth={currentProvider && currentTool && !currentProvider.is_team_authorization}
+              onAuth={() => setShowSettingAuth(true)}
+              uninstalled={!currentProvider && inMarketPlace}
+              versionMismatch={currentProvider && inMarketPlace && !currentTool}
+              installInfo={manifest?.latest_package_identifier}
+              onInstall={() => handleInstall()}
+              isError={(!currentProvider || !currentTool) && !inMarketPlace}
+              errorTip={
+                <div className='space-y-1 max-w-[240px] text-xs'>
+                  <h3 className='text-text-primary font-semibold'>{currentTool ? t('plugin.detailPanel.toolSelector.uninstalledTitle') : t('plugin.detailPanel.toolSelector.unsupportedTitle')}</h3>
+                  <p className='text-text-secondary tracking-tight'>{currentTool ? t('plugin.detailPanel.toolSelector.uninstalledContent') : t('plugin.detailPanel.toolSelector.unsupportedContent')}</p>
+                  <p>
+                    <Link href={'/plugins'} className='text-text-accent tracking-tight'>{t('plugin.detailPanel.toolSelector.uninstalledLink')}</Link>
+                  </p>
+                </div>
+              }
+            />
+          )}
+        </PortalToFollowElemTrigger>
+        <PortalToFollowElemContent className='z-[1000]'>
+          <div className={cn('relative w-[361px] min-h-20 max-h-[642px] pb-4 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg', !isShowSettingAuth && 'overflow-y-auto pb-2')}>
+            {!isShowSettingAuth && (
+              <>
+                <div className='px-4 pt-3.5 pb-1 text-text-primary system-xl-semibold'>{t('plugin.detailPanel.toolSelector.title')}</div>
+                {/* base form */}
+                <div className='px-4 py-2 flex flex-col gap-3'>
+                  <div className='flex flex-col gap-1'>
+                    <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('plugin.detailPanel.toolSelector.toolLabel')}</div>
+                    <ToolPicker
+                      panelClassName='w-[328px]'
+                      placement='bottom'
+                      offset={offset}
+                      trigger={
+                        <ToolTrigger
+                          open={panelShowState || isShowChooseTool}
+                          value={value}
+                          provider={currentProvider}
+                        />
+                      }
+                      isShow={panelShowState || isShowChooseTool}
+                      onShowChange={trigger ? onPanelShowStateChange as any : setIsShowChooseTool}
+                      disabled={false}
+                      supportAddCustomTool
+                      onSelect={handleSelectTool}
+                      scope={scope}
+                      selectedTools={selectedTools}
+                    />
+                  </div>
+                  <div className='flex flex-col gap-1'>
+                    <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('plugin.detailPanel.toolSelector.descriptionLabel')}</div>
+                    <Textarea
+                      className='resize-none'
+                      placeholder={t('plugin.detailPanel.toolSelector.descriptionPlaceholder')}
+                      value={value?.extra?.description || ''}
+                      onChange={handleDescriptionChange}
+                      disabled={!value?.provider_name}
+                    />
+                  </div>
+                </div>
+                {/* authorization */}
+                {currentProvider && currentProvider.type === CollectionType.builtIn && currentProvider.allow_delete && (
+                  <>
+                    <Divider className='my-1 w-full' />
+                    <div className='px-4 py-2'>
+                      {!currentProvider.is_team_authorization && (
+                        <Button
+                          variant='primary'
+                          className={cn('shrink-0 w-full')}
+                          onClick={() => setShowSettingAuth(true)}
+                          disabled={!isCurrentWorkspaceManager}
+                        >
+                          {t('tools.auth.unauthorized')}
+                        </Button>
+                      )}
+                      {currentProvider.is_team_authorization && (
+                        <Button
+                          variant='secondary'
+                          className={cn('shrink-0 w-full')}
+                          onClick={() => setShowSettingAuth(true)}
+                          disabled={!isCurrentWorkspaceManager}
+                        >
+                          <Indicator className='mr-2' color={'green'} />
+                          {t('tools.auth.authorized')}
+                        </Button>
+                      )}
+                    </div>
+                  </>
+                )}
+                {/* tool settings */}
+                {(currentToolSettings.length > 0 || currentToolParams.length > 0) && currentProvider?.is_team_authorization && (
+                  <>
+                    <Divider className='my-1 w-full' />
+                    {/* tabs */}
+                    {nodeId && showTabSlider && (
+                      <TabSlider
+                        className='shrink-0 mt-1 px-4'
+                        itemClassName='py-3'
+                        noBorderBottom
+                        smallItem
+                        value={currType}
+                        onChange={(value) => {
+                          setCurrType(value)
+                        }}
+                        options={[
+                          { value: 'settings', text: t('plugin.detailPanel.toolSelector.settings')! },
+                          { value: 'params', text: t('plugin.detailPanel.toolSelector.params')! },
+                        ]}
+                      />
+                    )}
+                    {nodeId && showTabSlider && currType === 'params' && (
+                      <div className='px-4 py-2'>
+                        <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip1')}</div>
+                        <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip2')}</div>
+                      </div>
+                    )}
+                    {/* user settings only */}
+                    {userSettingsOnly && (
+                      <div className='p-4 pb-1'>
+                        <div className='text-text-primary system-sm-semibold-uppercase'>{t('plugin.detailPanel.toolSelector.settings')}</div>
+                      </div>
+                    )}
+                    {/* reasoning config only */}
+                    {nodeId && reasoningConfigOnly && (
+                      <div className='mb-1 p-4 pb-1'>
+                        <div className='text-text-primary system-sm-semibold-uppercase'>{t('plugin.detailPanel.toolSelector.params')}</div>
+                        <div className='pb-1'>
+                          <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip1')}</div>
+                          <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip2')}</div>
+                        </div>
+                      </div>
+                    )}
+                    {/* user settings form */}
+                    {(currType === 'settings' || userSettingsOnly) && (
+                      <div className='px-4 py-2'>
+                        <Form
+                          value={getPlainValue(value?.settings || {})}
+                          onChange={handleSettingsFormChange}
+                          formSchemas={settingsFormSchemas as any}
+                          isEditMode={true}
+                          showOnVariableMap={{}}
+                          validating={false}
+                          inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover'
+                          fieldMoreInfo={item => item.url
+                            ? (<a
+                              href={item.url}
+                              target='_blank' rel='noopener noreferrer'
+                              className='inline-flex items-center text-xs text-text-accent'
+                            >
+                              {t('tools.howToGet')}
+                              <RiArrowRightUpLine className='ml-1 w-3 h-3' />
+                            </a>)
+                            : null}
+                        />
+                      </div>
+                    )}
+                    {/* reasoning config form */}
+                    {nodeId && (currType === 'params' || reasoningConfigOnly) && (
+                      <ReasoningConfigForm
+                        value={value?.parameters || {}}
+                        onChange={handleParamsFormChange}
+                        schemas={paramsFormSchemas as any}
+                        nodeOutputVars={nodeOutputVars}
+                        availableNodes={availableNodes}
+                        nodeId={nodeId}
+                      />
+                    )}
+                  </>
+                )}
+              </>
+            )}
+            {/* authorization panel */}
+            {isShowSettingAuth && currentProvider && (
+              <>
+                <div className='relative pt-3.5 flex flex-col gap-1'>
+                  <div className='absolute -top-2 left-2 w-[345px] pt-2 rounded-t-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border'></div>
+                  <div
+                    className='px-3 h-6 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer'
+                    onClick={() => setShowSettingAuth(false)}
+                  >
+                    <RiArrowLeftLine className='w-4 h-4' />
+                    BACK
+                  </div>
+                  <div className='px-4 text-text-primary system-xl-semibold'>{t('tools.auth.setupModalTitle')}</div>
+                  <div className='px-4 text-text-tertiary system-xs-regular'>{t('tools.auth.setupModalTitleDescription')}</div>
+                </div>
+                <ToolCredentialForm
+                  collection={currentProvider}
+                  onCancel={() => setShowSettingAuth(false)}
+                  onSaved={async value => updatePermission({
+                    providerName: currentProvider.name,
+                    credentials: value,
+                  })}
+                />
+              </>
+            )}
+          </div>
+        </PortalToFollowElemContent>
+      </PortalToFollowElem>
+    </>
+  )
+}
+export default React.memo(ToolSelector)
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx
new file mode 100644
index 0000000000..6ba8207856
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx
@@ -0,0 +1,275 @@
+import { useCallback, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import produce from 'immer'
+import {
+  RiArrowRightUpLine,
+} from '@remixicon/react'
+import Tooltip from '@/app/components/base/tooltip'
+import Switch from '@/app/components/base/switch'
+import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var'
+import VarReferencePicker from '@/app/components/workflow/nodes/_base/components/variable/var-reference-picker'
+import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector'
+import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector'
+import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks'
+import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import type { Node } from 'reactflow'
+import type {
+  NodeOutPutVar,
+  ValueSelector,
+  Var,
+} from '@/app/components/workflow/types'
+import type { ToolVarInputs } from '@/app/components/workflow/nodes/tool/types'
+import { VarType as VarKindType } from '@/app/components/workflow/nodes/tool/types'
+import { VarType } from '@/app/components/workflow/types'
+import cn from '@/utils/classnames'
+
+type Props = {
+  value: Record<string, any>
+  onChange: (val: Record<string, any>) => void
+  schemas: any[]
+  nodeOutputVars: NodeOutPutVar[],
+  availableNodes: Node[],
+  nodeId: string
+}
+
+const ReasoningConfigForm: React.FC<Props> = ({
+  value,
+  onChange,
+  schemas,
+  nodeOutputVars,
+  availableNodes,
+  nodeId,
+}) => {
+  const { t } = useTranslation()
+  const language = useLanguage()
+  const handleAutomatic = (key: string, val: any) => {
+    onChange({
+      ...value,
+      [key]: {
+        value: val ? null : value[key]?.value,
+        auto: val ? 1 : 0,
+      },
+    })
+  }
+
+  const [inputsIsFocus, setInputsIsFocus] = useState<Record<string, boolean>>({})
+  const handleInputFocus = useCallback((variable: string) => {
+    return (value: boolean) => {
+      setInputsIsFocus((prev) => {
+        return {
+          ...prev,
+          [variable]: value,
+        }
+      })
+    }
+  }, [])
+  const handleNotMixedTypeChange = useCallback((variable: string) => {
+    return (varValue: ValueSelector | string, varKindType: VarKindType) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        const target = draft[variable].value
+        if (target) {
+          target.type = varKindType
+          target.value = varValue
+        }
+        else {
+          draft[variable].value = {
+            type: varKindType,
+            value: varValue,
+          }
+        }
+      })
+      onChange(newValue)
+    }
+  }, [value, onChange])
+  const handleMixedTypeChange = useCallback((variable: string) => {
+    return (itemValue: string) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        const target = draft[variable].value
+        if (target) {
+          target.value = itemValue
+        }
+        else {
+          draft[variable].value = {
+            type: VarKindType.mixed,
+            value: itemValue,
+          }
+        }
+      })
+      onChange(newValue)
+    }
+  }, [value, onChange])
+  const handleFileChange = useCallback((variable: string) => {
+    return (varValue: ValueSelector | string) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        draft[variable].value = {
+          type: VarKindType.variable,
+          value: varValue,
+        }
+      })
+      onChange(newValue)
+    }
+  }, [value, onChange])
+  const handleAppChange = useCallback((variable: string) => {
+    return (app: {
+      app_id: string
+      inputs: Record<string, any>
+      files?: any[]
+    }) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        draft[variable].value = app as any
+      })
+      onChange(newValue)
+    }
+  }, [onChange, value])
+  const handleModelChange = useCallback((variable: string) => {
+    return (model: any) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        draft[variable].value = {
+          ...draft[variable].value,
+          ...model,
+        } as any
+      })
+      onChange(newValue)
+    }
+  }, [onChange, value])
+
+  const renderField = (schema: any) => {
+    const {
+      variable,
+      label,
+      required,
+      tooltip,
+      type,
+      scope,
+      url,
+    } = schema
+    const auto = value[variable]?.auto
+    const tooltipContent = (tooltip && (
+      <Tooltip
+        popupContent={<div className='w-[200px]'>
+          {tooltip[language] || tooltip.en_US}
+        </div>}
+        triggerClassName='ml-1 w-4 h-4'
+        asChild={false} />
+    ))
+    const varInput = value[variable].value
+    const isNumber = type === FormTypeEnum.textNumber
+    const isSelect = type === FormTypeEnum.select
+    const isFile = type === FormTypeEnum.file || type === FormTypeEnum.files
+    const isAppSelector = type === FormTypeEnum.appSelector
+    const isModelSelector = type === FormTypeEnum.modelSelector
+    // const isToolSelector = type === FormTypeEnum.toolSelector
+    const isString = !isNumber && !isSelect && !isFile && !isAppSelector && !isModelSelector
+    return (
+      <div key={variable} className='space-y-1'>
+        <div className='flex items-center justify-between py-2 system-sm-semibold text-text-secondary'>
+          <div className='flex items-center space-x-2'>
+            <span className={cn('text-text-secondary code-sm-semibold')}>{label[language] || label.en_US}</span>
+            {required && (
+              <span className='ml-1 text-red-500'>*</span>
+            )}
+            {tooltipContent}
+          </div>
+          <div className='flex items-center gap-1 px-2 py-1 rounded-[6px] border border-divider-subtle bg-background-default-lighter cursor-pointer hover:bg-state-base-hover' onClick={() => handleAutomatic(variable, !auto)}>
+            <span className='text-text-secondary system-xs-medium'>{t('plugin.detailPanel.toolSelector.auto')}</span>
+            <Switch
+              size='xs'
+              defaultValue={!!auto}
+              onChange={val => handleAutomatic(variable, val)}
+            />
+          </div>
+        </div>
+        {auto === 0 && (
+          <>
+            {isString && (
+              <Input
+                className={cn(inputsIsFocus[variable] ? 'shadow-xs bg-gray-50 border-gray-300' : 'bg-gray-100 border-gray-100', 'rounded-lg px-3 py-[6px] border')}
+                value={varInput?.value as string || ''}
+                onChange={handleMixedTypeChange(variable)}
+                nodesOutputVars={nodeOutputVars}
+                availableNodes={availableNodes}
+                onFocusChange={handleInputFocus(variable)}
+                placeholder={t('workflow.nodes.http.insertVarPlaceholder')!}
+                placeholderClassName='!leading-[21px]'
+              />
+            )}
+            {/* {isString && (
+              <VarReferencePicker
+                zIndex={1001}
+                readonly={false}
+                isShowNodeName
+                nodeId={nodeId}
+                value={varInput?.value || ''}
+                onChange={handleNotMixedTypeChange(variable)}
+                defaultVarKindType={VarKindType.variable}
+                filterVar={(varPayload: Var) => varPayload.type === VarType.number || varPayload.type === VarType.secret || varPayload.type === VarType.string}
+              />
+            )} */}
+            {(isNumber || isSelect) && (
+              <VarReferencePicker
+                zIndex={1001}
+                readonly={false}
+                isShowNodeName
+                nodeId={nodeId}
+                value={varInput?.type === VarKindType.constant ? (varInput?.value ?? '') : (varInput?.value ?? [])}
+                onChange={handleNotMixedTypeChange(variable)}
+                defaultVarKindType={varInput?.type || (isNumber ? VarKindType.constant : VarKindType.variable)}
+                isSupportConstantValue
+                filterVar={isNumber ? (varPayload: Var) => varPayload.type === schema._type : undefined}
+                availableVars={isSelect ? nodeOutputVars : undefined}
+                schema={schema}
+              />
+            )}
+            {isFile && (
+              <VarReferencePicker
+                zIndex={1001}
+                readonly={false}
+                isShowNodeName
+                nodeId={nodeId}
+                value={varInput?.value || []}
+                onChange={handleFileChange(variable)}
+                defaultVarKindType={VarKindType.variable}
+                filterVar={(varPayload: Var) => varPayload.type === VarType.file || varPayload.type === VarType.arrayFile}
+              />
+            )}
+            {isAppSelector && (
+              <AppSelector
+                disabled={false}
+                scope={scope || 'all'}
+                value={varInput as any}
+                onSelect={handleAppChange(variable)}
+              />
+            )}
+            {isModelSelector && (
+              <ModelParameterModal
+                popupClassName='!w-[387px]'
+                isAdvancedMode
+                isInWorkflow
+                value={varInput as any}
+                setModel={handleModelChange(variable)}
+                scope={scope}
+              />
+            )}
+          </>
+        )}
+        {url && (
+          <a
+            href={url}
+            target='_blank' rel='noopener noreferrer'
+            className='inline-flex items-center text-xs text-text-accent'
+          >
+            {t('tools.howToGet')}
+            <RiArrowRightUpLine className='ml-1 w-3 h-3' />
+          </a>
+        )}
+      </div>
+    )
+  }
+  return (
+    <div className='px-4 py-2 space-y-3'>
+      {schemas.map(schema => renderField(schema))}
+    </div>
+  )
+}
+
+export default ReasoningConfigForm
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx
new file mode 100644
index 0000000000..6334e792f9
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx
@@ -0,0 +1,97 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiArrowRightUpLine,
+} from '@remixicon/react'
+import { addDefaultValue, toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
+import type { Collection } from '@/app/components/tools/types'
+import Button from '@/app/components/base/button'
+import Toast from '@/app/components/base/toast'
+import { fetchBuiltInToolCredential, fetchBuiltInToolCredentialSchema } from '@/service/tools'
+import Loading from '@/app/components/base/loading'
+import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import cn from '@/utils/classnames'
+
+type Props = {
+  collection: Collection
+  onCancel: () => void
+  onSaved: (value: Record<string, any>) => void
+}
+
+const ToolCredentialForm: FC<Props> = ({
+  collection,
+  onCancel,
+  onSaved,
+}) => {
+  const getValueFromI18nObject = useRenderI18nObject()
+  const { t } = useTranslation()
+  const [credentialSchema, setCredentialSchema] = useState<any>(null)
+  const { name: collectionName } = collection
+  const [tempCredential, setTempCredential] = React.useState<any>({})
+  useEffect(() => {
+    fetchBuiltInToolCredentialSchema(collectionName).then(async (res) => {
+      const toolCredentialSchemas = toolCredentialToFormSchemas(res)
+      const credentialValue = await fetchBuiltInToolCredential(collectionName)
+      setTempCredential(credentialValue)
+      const defaultCredentials = addDefaultValue(credentialValue, toolCredentialSchemas)
+      setCredentialSchema(toolCredentialSchemas)
+      setTempCredential(defaultCredentials)
+    })
+  }, [])
+
+  const handleSave = () => {
+    for (const field of credentialSchema) {
+      if (field.required && !tempCredential[field.name]) {
+        Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: getValueFromI18nObject(field.label) }) })
+        return
+      }
+    }
+    onSaved(tempCredential)
+  }
+
+  return (
+    <>
+      {!credentialSchema
+        ? <div className='pt-3'><Loading type='app' /></div>
+        : (
+          <>
+            <div className='px-4 max-h-[464px] overflow-y-auto'>
+              <Form
+                value={tempCredential}
+                onChange={(v) => {
+                  setTempCredential(v)
+                }}
+                formSchemas={credentialSchema}
+                isEditMode={true}
+                showOnVariableMap={{}}
+                validating={false}
+                inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover'
+                fieldMoreInfo={item => item.url
+                  ? (<a
+                    href={item.url}
+                    target='_blank' rel='noopener noreferrer'
+                    className='inline-flex items-center text-xs text-text-accent'
+                  >
+                    {t('tools.howToGet')}
+                    <RiArrowRightUpLine className='ml-1 w-3 h-3' />
+                  </a>)
+                  : null}
+              />
+            </div>
+            <div className={cn('mt-1 flex justify-end px-4')} >
+              <div className='flex space-x-2'>
+                <Button onClick={onCancel}>{t('common.operation.cancel')}</Button>
+                <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button>
+              </div>
+            </div>
+          </>
+        )
+      }
+
+    </>
+  )
+}
+export default React.memo(ToolCredentialForm)
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx
new file mode 100644
index 0000000000..e99d06508d
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx
@@ -0,0 +1,163 @@
+'use client'
+import React, { useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiDeleteBinLine,
+  RiEqualizer2Line,
+  RiErrorWarningFill,
+} from '@remixicon/react'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+import AppIcon from '@/app/components/base/app-icon'
+import Switch from '@/app/components/base/switch'
+import Button from '@/app/components/base/button'
+import Indicator from '@/app/components/header/indicator'
+import ActionButton from '@/app/components/base/action-button'
+import Tooltip from '@/app/components/base/tooltip'
+import { ToolTipContent } from '@/app/components/base/tooltip/content'
+import { InstallPluginButton } from '@/app/components/workflow/nodes/_base/components/install-plugin-button'
+import { SwitchPluginVersion } from '@/app/components/workflow/nodes/_base/components/switch-plugin-version'
+import cn from '@/utils/classnames'
+
+type Props = {
+  icon?: any
+  providerName?: string
+  toolLabel?: string
+  showSwitch?: boolean
+  switchValue?: boolean
+  onSwitchChange?: (value: boolean) => void
+  onDelete?: () => void
+  noAuth?: boolean
+  onAuth?: () => void
+  isError?: boolean
+  errorTip?: any
+  uninstalled?: boolean
+  installInfo?: string
+  onInstall?: () => void
+  versionMismatch?: boolean
+  open: boolean
+}
+
+const ToolItem = ({
+  open,
+  icon,
+  providerName,
+  toolLabel,
+  showSwitch,
+  switchValue,
+  onSwitchChange,
+  onDelete,
+  noAuth,
+  onAuth,
+  uninstalled,
+  installInfo,
+  onInstall,
+  isError,
+  errorTip,
+  versionMismatch,
+}: Props) => {
+  const { t } = useTranslation()
+  const providerNameText = providerName?.split('/').pop()
+  const isTransparent = uninstalled || versionMismatch || isError
+  const [isDeleting, setIsDeleting] = useState(false)
+
+  return (
+    <div className={cn(
+      'group p-1.5 pr-2 flex items-center gap-1 bg-components-panel-on-panel-item-bg border-[0.5px] border-components-panel-border-subtle rounded-lg shadow-xs cursor-default hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm',
+      open && 'bg-components-panel-on-panel-item-bg-hover shadow-sm',
+      isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border shadow-xs',
+    )}>
+      {icon && (
+        <div className={cn('shrink-0', isTransparent && 'opacity-50')}>
+          {typeof icon === 'string' && <div className='w-7 h-7 bg-cover bg-center border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge rounded-lg' style={{ backgroundImage: `url(${icon})` }} />}
+          {typeof icon !== 'string' && <AppIcon className='w-7 h-7 border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge rounded-lg' size='xs' icon={icon?.content} background={icon?.background} />}
+        </div>
+      )}
+      {!icon && (
+        <div className={cn(
+          'flex items-center justify-center w-7 h-7 rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-subtle',
+        )}>
+          <div className='flex w-5 h-5 items-center justify-center opacity-35'>
+            <Group className='text-text-tertiary' />
+          </div>
+        </div>
+      )}
+      <div className={cn('pl-0.5 grow truncate', isTransparent && 'opacity-50')}>
+        <div className='text-text-tertiary system-2xs-medium-uppercase'>{providerNameText}</div>
+        <div className='text-text-secondary system-xs-medium'>{toolLabel}</div>
+      </div>
+      <div className='hidden group-hover:flex items-center gap-1'>
+        {!noAuth && !isError && !uninstalled && !versionMismatch && (
+          <ActionButton>
+            <RiEqualizer2Line className='w-4 h-4' />
+          </ActionButton>
+        )}
+        <div
+          className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive'
+          onClick={(e) => {
+            e.stopPropagation()
+            onDelete?.()
+          }}
+          onMouseOver={() => setIsDeleting(true)}
+          onMouseLeave={() => setIsDeleting(false)}
+        >
+          <RiDeleteBinLine className='w-4 h-4' />
+        </div>
+      </div>
+      {!isError && !uninstalled && !noAuth && !versionMismatch && showSwitch && (
+        <div className='mr-1' onClick={e => e.stopPropagation()}>
+          <Switch
+            size='md'
+            defaultValue={switchValue}
+            onChange={onSwitchChange}
+          />
+        </div>
+      )}
+      {!isError && !uninstalled && !versionMismatch && noAuth && (
+        <Button variant='secondary' size='small' onClick={onAuth}>
+          {t('tools.notAuthorized')}
+          <Indicator className='ml-2' color='orange' />
+        </Button>
+      )}
+      {!isError && !uninstalled && versionMismatch && installInfo && (
+        <div onClick={e => e.stopPropagation()}>
+          <SwitchPluginVersion
+            className='-mt-1'
+            uniqueIdentifier={installInfo}
+            tooltip={
+              <ToolTipContent
+                title={t('plugin.detailPanel.toolSelector.unsupportedTitle')}
+              >
+                {`${t('plugin.detailPanel.toolSelector.unsupportedContent')} ${t('plugin.detailPanel.toolSelector.unsupportedContent2')}`}
+              </ToolTipContent>
+            }
+            onChange={() => {
+              onInstall?.()
+            }}
+          />
+        </div>
+      )}
+      {!isError && uninstalled && installInfo && (
+        <InstallPluginButton
+          onClick={e => e.stopPropagation()}
+          size={'small'}
+          uniqueIdentifier={installInfo}
+          onSuccess={() => {
+            onInstall?.()
+          }}
+        />
+      )}
+      {isError && (
+        <Tooltip
+          popupContent={errorTip}
+          needsDelay
+        >
+          <div>
+            <RiErrorWarningFill className='w-4 h-4 text-text-destructive' />
+          </div>
+        </Tooltip>
+      )}
+    </div>
+  )
+}
+
+export default ToolItem
diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx
new file mode 100644
index 0000000000..adea79adf5
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx
@@ -0,0 +1,63 @@
+'use client'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  RiArrowDownSLine,
+  RiEqualizer2Line,
+} from '@remixicon/react'
+import BlockIcon from '@/app/components/workflow/block-icon'
+import { BlockEnum } from '@/app/components/workflow/types'
+import type { ToolWithProvider } from '@/app/components/workflow/types'
+import cn from '@/utils/classnames'
+
+type Props = {
+  open: boolean
+  provider?: ToolWithProvider
+  value?: {
+    provider_name: string
+    tool_name: string
+  }
+  isConfigure?: boolean
+}
+
+const ToolTrigger = ({
+  open,
+  provider,
+  value,
+  isConfigure,
+}: Props) => {
+  const { t } = useTranslation()
+  return (
+    <div className={cn(
+      'group flex items-center p-2 pl-3 bg-components-input-bg-normal rounded-lg cursor-pointer hover:bg-state-base-hover-alt',
+      open && 'bg-state-base-hover-alt',
+      value?.provider_name && 'pl-1.5 py-1.5',
+    )}>
+      {value?.provider_name && provider && (
+        <div className='shrink-0 mr-1 p-px rounded-lg bg-components-panel-bg border border-components-panel-border'>
+          <BlockIcon
+            className='!w-4 !h-4'
+            type={BlockEnum.Tool}
+            toolIcon={provider.icon}
+          />
+        </div>
+      )}
+      {value?.tool_name && (
+        <div className='grow system-sm-medium text-components-input-text-filled'>{value.tool_name}</div>
+      )}
+      {!value?.provider_name && (
+        <div className='grow text-components-input-text-placeholder system-sm-regular'>
+          {!isConfigure ? t('plugin.detailPanel.toolSelector.placeholder') : t('plugin.detailPanel.configureTool')}
+        </div>
+      )}
+      {isConfigure && (
+        <RiEqualizer2Line className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} />
+      )}
+      {!isConfigure && (
+        <RiArrowDownSLine className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} />
+      )}
+    </div>
+  )
+}
+
+export default ToolTrigger
diff --git a/web/app/components/plugins/plugin-detail-panel/utils.ts b/web/app/components/plugins/plugin-detail-panel/utils.ts
new file mode 100644
index 0000000000..fd51142a38
--- /dev/null
+++ b/web/app/components/plugins/plugin-detail-panel/utils.ts
@@ -0,0 +1,21 @@
+import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+
+export const NAME_FIELD = {
+  type: FormTypeEnum.textInput,
+  name: 'name',
+  label: {
+    en_US: 'Endpoint Name',
+    zh_Hans: '端点名称',
+    ja_JP: 'エンドポイント名',
+    pt_BR: 'Nome do ponto final',
+  },
+  placeholder: {
+    en_US: 'Endpoint Name',
+    zh_Hans: '端点名称',
+    ja_JP: 'エンドポイント名',
+    pt_BR: 'Nome do ponto final',
+  },
+  required: true,
+  default: '',
+  help: null,
+}
diff --git a/web/app/components/plugins/plugin-item/action.tsx b/web/app/components/plugins/plugin-item/action.tsx
new file mode 100644
index 0000000000..393c1a7bc9
--- /dev/null
+++ b/web/app/components/plugins/plugin-item/action.tsx
@@ -0,0 +1,165 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback } from 'react'
+import { type MetaData, PluginSource } from '../types'
+import { RiDeleteBinLine, RiInformation2Line, RiLoopLeftLine } from '@remixicon/react'
+import { useBoolean } from 'ahooks'
+import { useTranslation } from 'react-i18next'
+import PluginInfo from '../plugin-page/plugin-info'
+import ActionButton from '../../base/action-button'
+import Tooltip from '../../base/tooltip'
+import Confirm from '../../base/confirm'
+import { uninstallPlugin } from '@/service/plugins'
+import { useGitHubReleases } from '../install-plugin/hooks'
+import Toast from '@/app/components/base/toast'
+import { useModalContext } from '@/context/modal-context'
+import { useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import type { PluginType } from '@/app/components/plugins/types'
+
+const i18nPrefix = 'plugin.action'
+
+type Props = {
+  author: string
+  installationId: string
+  pluginUniqueIdentifier: string
+  pluginName: string
+  category: PluginType
+  usedInApps: number
+  isShowFetchNewVersion: boolean
+  isShowInfo: boolean
+  isShowDelete: boolean
+  onDelete: () => void
+  meta?: MetaData
+}
+const Action: FC<Props> = ({
+  author,
+  installationId,
+  pluginUniqueIdentifier,
+  pluginName,
+  category,
+  isShowFetchNewVersion,
+  isShowInfo,
+  isShowDelete,
+  onDelete,
+  meta,
+}) => {
+  const { t } = useTranslation()
+  const [isShowPluginInfo, {
+    setTrue: showPluginInfo,
+    setFalse: hidePluginInfo,
+  }] = useBoolean(false)
+  const [deleting, {
+    setTrue: showDeleting,
+    setFalse: hideDeleting,
+  }] = useBoolean(false)
+  const { checkForUpdates, fetchReleases } = useGitHubReleases()
+  const { setShowUpdatePluginModal } = useModalContext()
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+
+  const handleFetchNewVersion = async () => {
+    const owner = meta!.repo.split('/')[0] || author
+    const repo = meta!.repo.split('/')[1] || pluginName
+    const fetchedReleases = await fetchReleases(owner, repo)
+    if (fetchedReleases.length === 0) return
+    const { needUpdate, toastProps } = checkForUpdates(fetchedReleases, meta!.version)
+    Toast.notify(toastProps)
+    if (needUpdate) {
+      setShowUpdatePluginModal({
+        onSaveCallback: () => {
+          invalidateInstalledPluginList()
+        },
+        payload: {
+          type: PluginSource.github,
+          category,
+          github: {
+            originalPackageInfo: {
+              id: pluginUniqueIdentifier,
+              repo: meta!.repo,
+              version: meta!.version,
+              package: meta!.package,
+              releases: fetchedReleases,
+            },
+          },
+        },
+      })
+    }
+  }
+
+  const [isShowDeleteConfirm, {
+    setTrue: showDeleteConfirm,
+    setFalse: hideDeleteConfirm,
+  }] = useBoolean(false)
+
+  const handleDelete = useCallback(async () => {
+    showDeleting()
+    const res = await uninstallPlugin(installationId)
+    hideDeleting()
+    if (res.success) {
+      hideDeleteConfirm()
+      onDelete()
+    }
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [installationId, onDelete])
+  return (
+    <div className='flex space-x-1'>
+      {/* Only plugin installed from GitHub need to check if it's the new version  */}
+      {isShowFetchNewVersion
+        && (
+          <Tooltip popupContent={t(`${i18nPrefix}.checkForUpdates`)}>
+            <ActionButton onClick={handleFetchNewVersion}>
+              <RiLoopLeftLine className='w-4 h-4 text-text-tertiary' />
+            </ActionButton>
+          </Tooltip>
+        )
+      }
+      {
+        isShowInfo
+        && (
+          <Tooltip popupContent={t(`${i18nPrefix}.pluginInfo`)}>
+            <ActionButton onClick={showPluginInfo}>
+              <RiInformation2Line className='w-4 h-4 text-text-tertiary' />
+            </ActionButton>
+          </Tooltip>
+        )
+      }
+      {
+        isShowDelete
+        && (
+          <Tooltip popupContent={t(`${i18nPrefix}.delete`)}>
+            <ActionButton
+              className='hover:bg-state-destructive-hover text-text-tertiary hover:text-text-destructive'
+              onClick={showDeleteConfirm}
+            >
+              <RiDeleteBinLine className='w-4 h-4' />
+            </ActionButton>
+          </Tooltip>
+        )
+      }
+
+      {isShowPluginInfo && (
+        <PluginInfo
+          repository={meta!.repo}
+          release={meta!.version}
+          packageName={meta!.package}
+          onHide={hidePluginInfo}
+        />
+      )}
+      <Confirm
+        isShow={isShowDeleteConfirm}
+        title={t(`${i18nPrefix}.delete`)}
+        content={
+          <div>
+            {t(`${i18nPrefix}.deleteContentLeft`)}<span className='system-md-semibold'>{pluginName}</span>{t(`${i18nPrefix}.deleteContentRight`)}<br />
+            {/* // todo: add usedInApps */}
+            {/* {usedInApps > 0 && t(`${i18nPrefix}.usedInApps`, { num: usedInApps })} */}
+          </div>
+        }
+        onCancel={hideDeleteConfirm}
+        onConfirm={handleDelete}
+        isLoading={deleting}
+        isDisabled={deleting}
+      />
+    </div>
+  )
+}
+export default React.memo(Action)
diff --git a/web/app/components/plugins/plugin-item/index.tsx b/web/app/components/plugins/plugin-item/index.tsx
new file mode 100644
index 0000000000..d06f406136
--- /dev/null
+++ b/web/app/components/plugins/plugin-item/index.tsx
@@ -0,0 +1,177 @@
+'use client'
+import type { FC } from 'react'
+import React, { useMemo } from 'react'
+import {
+  RiArrowRightUpLine,
+  RiBugLine,
+  RiHardDrive3Line,
+  RiLoginCircleLine,
+  RiVerifiedBadgeLine,
+} from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import { usePluginPageContext } from '../plugin-page/context'
+import { Github } from '../../base/icons/src/public/common'
+import Badge from '../../base/badge'
+import { type PluginDetail, PluginSource, PluginType } from '../types'
+import CornerMark from '../card/base/corner-mark'
+import Description from '../card/base/description'
+import OrgInfo from '../card/base/org-info'
+import Title from '../card/base/title'
+import Action from './action'
+import cn from '@/utils/classnames'
+import { API_PREFIX, MARKETPLACE_URL_PREFIX } from '@/config'
+import { useSingleCategories } from '../hooks'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import useRefreshPluginList from '@/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list'
+
+type Props = {
+  className?: string
+  plugin: PluginDetail
+}
+
+const PluginItem: FC<Props> = ({
+  className,
+  plugin,
+}) => {
+  const { t } = useTranslation()
+  const { categoriesMap } = useSingleCategories()
+  const currentPluginID = usePluginPageContext(v => v.currentPluginID)
+  const setCurrentPluginID = usePluginPageContext(v => v.setCurrentPluginID)
+  const { refreshPluginList } = useRefreshPluginList()
+
+  const {
+    source,
+    tenant_id,
+    installation_id,
+    plugin_unique_identifier,
+    endpoints_active,
+    meta,
+    plugin_id,
+  } = plugin
+  const { category, author, name, label, description, icon, verified } = plugin.declaration
+
+  const orgName = useMemo(() => {
+    return [PluginSource.github, PluginSource.marketplace].includes(source) ? author : ''
+  }, [source, author])
+
+  const handleDelete = () => {
+    refreshPluginList({ category } as any)
+  }
+  const getValueFromI18nObject = useRenderI18nObject()
+  const title = getValueFromI18nObject(label)
+  const descriptionText = getValueFromI18nObject(description)
+
+  return (
+    <div
+      className={cn(
+        'p-1 rounded-xl border-[1.5px] border-background-section-burn',
+        currentPluginID === plugin_id && 'border-components-option-card-option-selected-border',
+        source === PluginSource.debugging
+          ? 'bg-[repeating-linear-gradient(-45deg,rgba(16,24,40,0.04),rgba(16,24,40,0.04)_5px,rgba(0,0,0,0.02)_5px,rgba(0,0,0,0.02)_10px)]'
+          : 'bg-background-section-burn',
+      )}
+      onClick={() => {
+        setCurrentPluginID(plugin.plugin_id)
+      }}
+    >
+      <div className={cn('relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className)}>
+        <CornerMark text={categoriesMap[category].label} />
+        {/* Header */}
+        <div className="flex">
+          <div className='flex items-center justify-center w-10 h-10 overflow-hidden border-components-panel-border-subtle border-[1px] rounded-xl'>
+            <img
+              className='w-full h-full'
+              src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${tenant_id}&filename=${icon}`}
+              alt={`plugin-${plugin_unique_identifier}-logo`}
+            />
+          </div>
+          <div className="ml-3 w-0 grow">
+            <div className="flex items-center h-5">
+              <Title title={title} />
+              {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />}
+              <Badge className='shrink-0 ml-1' text={source === PluginSource.github ? plugin.meta!.version : plugin.version} />
+            </div>
+            <div className='flex items-center justify-between'>
+              <Description text={descriptionText} descriptionLineRows={1}></Description>
+              <div onClick={e => e.stopPropagation()}>
+                <Action
+                  pluginUniqueIdentifier={plugin_unique_identifier}
+                  installationId={installation_id}
+                  author={author}
+                  pluginName={name}
+                  usedInApps={5}
+                  isShowFetchNewVersion={source === PluginSource.github}
+                  isShowInfo={source === PluginSource.github}
+                  isShowDelete
+                  meta={meta}
+                  onDelete={handleDelete}
+                  category={category}
+                />
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div className='mt-1.5 mb-1 flex justify-between items-center h-4 px-4'>
+        <div className='flex items-center'>
+          <OrgInfo
+            className="mt-0.5"
+            orgName={orgName}
+            packageName={name}
+            packageNameClassName='w-auto max-w-[150px]'
+          />
+          {category === PluginType.extension && (
+            <>
+              <div className='mx-2 text-text-quaternary system-xs-regular'>·</div>
+              <div className='flex text-text-tertiary system-xs-regular space-x-1'>
+                <RiLoginCircleLine className='w-4 h-4' />
+                <span>{t('plugin.endpointsEnabled', { num: endpoints_active })}</span>
+              </div>
+            </>
+          )}
+        </div>
+
+        <div className='flex items-center'>
+          {source === PluginSource.github
+            && <>
+              <a href={`https://github.com/${meta!.repo}`} target='_blank' className='flex items-center gap-1'>
+                <div className='text-text-tertiary system-2xs-medium-uppercase'>{t('plugin.from')}</div>
+                <div className='flex items-center space-x-0.5 text-text-secondary'>
+                  <Github className='w-3 h-3' />
+                  <div className='system-2xs-semibold-uppercase'>GitHub</div>
+                  <RiArrowRightUpLine className='w-3 h-3' />
+                </div>
+              </a>
+            </>
+          }
+          {source === PluginSource.marketplace
+            && <>
+              <a href={`${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}`} target='_blank' className='flex items-center gap-0.5'>
+                <div className='text-text-tertiary system-2xs-medium-uppercase'>{t('plugin.from')} <span className='text-text-secondary'>marketplace</span></div>
+                <RiArrowRightUpLine className='w-3 h-3 text-text-tertiary' />
+              </a>
+            </>
+          }
+          {source === PluginSource.local
+            && <>
+              <div className='flex items-center gap-1'>
+                <RiHardDrive3Line className='text-text-tertiary w-3 h-3' />
+                <div className='text-text-tertiary system-2xs-medium-uppercase'>Local Plugin</div>
+              </div>
+            </>
+          }
+          {source === PluginSource.debugging
+            && <>
+              <div className='flex items-center gap-1'>
+                <RiBugLine className='w-3 h-3 text-text-warning' />
+                <div className='text-text-warning system-2xs-medium-uppercase'>Debugging Plugin</div>
+              </div>
+            </>
+          }
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default React.memo(PluginItem)
diff --git a/web/app/components/plugins/plugin-mutation-model/index.tsx b/web/app/components/plugins/plugin-mutation-model/index.tsx
new file mode 100644
index 0000000000..36ab670ab3
--- /dev/null
+++ b/web/app/components/plugins/plugin-mutation-model/index.tsx
@@ -0,0 +1,79 @@
+import type { FC, ReactNode } from 'react'
+import React, { memo } from 'react'
+import Card from '@/app/components/plugins/card'
+import Modal from '@/app/components/base/modal'
+import Button from '@/app/components/base/button'
+import type { Plugin } from '../types'
+import type { UseMutationResult } from '@tanstack/react-query'
+
+type Props = {
+  plugin: Plugin
+  onCancel: () => void
+  mutation: Pick<UseMutationResult, 'isSuccess' | 'isPending'>
+  mutate: () => void
+  confirmButtonText: ReactNode
+  cancelButtonText: ReactNode
+  modelTitle: ReactNode
+  description: ReactNode
+  cardTitleLeft: ReactNode
+  modalBottomLeft?: ReactNode
+}
+
+const PluginMutationModal: FC<Props> = ({
+  plugin,
+  onCancel,
+  mutation,
+  confirmButtonText,
+  cancelButtonText,
+  modelTitle,
+  description,
+  cardTitleLeft,
+  mutate,
+  modalBottomLeft,
+}: Props) => {
+  return (
+    <Modal
+      isShow={true}
+      onClose={onCancel}
+      className='min-w-[560px]'
+      closable
+      title={modelTitle}
+    >
+      <div className='mt-3 mb-2 text-text-secondary system-md-regular'>
+        {description}
+      </div>
+      <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+        <Card
+          installed={mutation.isSuccess}
+          payload={plugin}
+          className='w-full'
+          titleLeft={cardTitleLeft}
+        />
+      </div>
+      <div className='flex pt-5 items-center gap-2 self-stretch'>
+        <div>
+          {modalBottomLeft}
+        </div>
+        <div className='ml-auto flex gap-2'>
+          {!mutation.isPending && (
+            <Button onClick={onCancel}>
+              {cancelButtonText}
+            </Button>
+          )}
+          <Button
+            variant='primary'
+            loading={mutation.isPending}
+            onClick={mutate}
+            disabled={mutation.isPending}
+          >
+            {confirmButtonText}
+          </Button>
+        </div>
+      </div>
+    </Modal>
+  )
+}
+
+PluginMutationModal.displayName = 'PluginMutationModal'
+
+export default memo(PluginMutationModal)
diff --git a/web/app/components/plugins/plugin-page/context.tsx b/web/app/components/plugins/plugin-page/context.tsx
new file mode 100644
index 0000000000..6363bcae69
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/context.tsx
@@ -0,0 +1,95 @@
+'use client'
+
+import type { ReactNode } from 'react'
+import {
+  useMemo,
+  useRef,
+  useState,
+} from 'react'
+import {
+  createContext,
+  useContextSelector,
+} from 'use-context-selector'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import type { FilterState } from './filter-management'
+import { useTranslation } from 'react-i18next'
+import { useTabSearchParams } from '@/hooks/use-tab-searchparams'
+
+export type PluginPageContextValue = {
+  containerRef: React.RefObject<HTMLDivElement>
+  currentPluginID: string | undefined
+  setCurrentPluginID: (pluginID?: string) => void
+  filters: FilterState
+  setFilters: (filter: FilterState) => void
+  activeTab: string
+  setActiveTab: (tab: string) => void
+  options: Array<{ value: string, text: string }>
+}
+
+export const PluginPageContext = createContext<PluginPageContextValue>({
+  containerRef: { current: null },
+  currentPluginID: undefined,
+  setCurrentPluginID: () => { },
+  filters: {
+    categories: [],
+    tags: [],
+    searchQuery: '',
+  },
+  setFilters: () => { },
+  activeTab: '',
+  setActiveTab: () => { },
+  options: [],
+})
+
+type PluginPageContextProviderProps = {
+  children: ReactNode
+}
+
+export function usePluginPageContext(selector: (value: PluginPageContextValue) => any) {
+  return useContextSelector(PluginPageContext, selector)
+}
+
+export const PluginPageContextProvider = ({
+  children,
+}: PluginPageContextProviderProps) => {
+  const { t } = useTranslation()
+  const containerRef = useRef<HTMLDivElement>(null)
+  const [filters, setFilters] = useState<FilterState>({
+    categories: [],
+    tags: [],
+    searchQuery: '',
+  })
+  const [currentPluginID, setCurrentPluginID] = useState<string | undefined>()
+
+  const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures)
+  const options = useMemo(() => {
+    return [
+      { value: 'plugins', text: t('common.menus.plugins') },
+      ...(
+        enable_marketplace
+          ? [{ value: 'discover', text: t('common.menus.exploreMarketplace') }]
+          : []
+      ),
+    ]
+  }, [t, enable_marketplace])
+  const [activeTab, setActiveTab] = useTabSearchParams({
+    defaultTab: options[0].value,
+  })
+
+  return (
+    <PluginPageContext.Provider
+      value={{
+        containerRef,
+        currentPluginID,
+        setCurrentPluginID,
+        filters,
+        setFilters,
+        activeTab,
+        setActiveTab,
+        options,
+      }}
+    >
+      {children}
+    </PluginPageContext.Provider>
+  )
+}
diff --git a/web/app/components/plugins/plugin-page/debug-info.tsx b/web/app/components/plugins/plugin-page/debug-info.tsx
new file mode 100644
index 0000000000..4361c5b37b
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/debug-info.tsx
@@ -0,0 +1,63 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import {
+  RiArrowRightUpLine,
+  RiBugLine,
+} from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import KeyValueItem from '../base/key-value-item'
+import Tooltip from '@/app/components/base/tooltip'
+import Button from '@/app/components/base/button'
+import { useDebugKey } from '@/service/use-plugins'
+
+const i18nPrefix = 'plugin.debugInfo'
+
+const DebugInfo: FC = () => {
+  const { t } = useTranslation()
+  const { data: info, isLoading } = useDebugKey()
+
+  // info.key likes 4580bdb7-b878-471c-a8a4-bfd760263a53 mask the middle part using *.
+  const maskedKey = info?.key?.replace(/(.{8})(.*)(.{8})/, '$1********$3')
+
+  if (isLoading) return null
+
+  return (
+    <Tooltip
+      triggerMethod='click'
+      disabled={!info}
+      popupContent={
+        <>
+          <div className='flex items-center gap-1 self-stretch'>
+            <span className='flex flex-col justify-center items-start grow shrink-0 basis-0 text-text-secondary system-sm-semibold'>{t(`${i18nPrefix}.title`)}</span>
+            <a href='https://docs.dify.ai/plugins/quick-start/develop-plugins/debug-plugin' target='_blank' className='flex items-center gap-0.5 text-text-accent-light-mode-only cursor-pointer'>
+              <span className='system-xs-medium'>{t(`${i18nPrefix}.viewDocs`)}</span>
+              <RiArrowRightUpLine className='w-3 h-3' />
+            </a>
+          </div>
+          <div className='space-y-0.5'>
+            <KeyValueItem
+              label={'URL'}
+              value={`${info?.host}:${info?.port}`}
+            />
+            <KeyValueItem
+              label={'Key'}
+              value={info?.key || ''}
+              maskedValue={maskedKey}
+            />
+          </div>
+        </>
+      }
+      popupClassName='flex flex-col items-start w-[256px] px-4 py-3.5 gap-1 border border-components-panel-border
+        rounded-xl bg-components-tooltip-bg shadows-shadow-lg z-50'
+      asChild={false}
+      position='bottom'
+    >
+      <Button className='w-full h-full p-2 text-components-button-secondary-text'>
+        <RiBugLine className='w-4 h-4' />
+      </Button>
+    </Tooltip>
+  )
+}
+
+export default React.memo(DebugInfo)
diff --git a/web/app/components/plugins/plugin-page/empty/index.tsx b/web/app/components/plugins/plugin-page/empty/index.tsx
new file mode 100644
index 0000000000..3263f6a0c3
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/empty/index.tsx
@@ -0,0 +1,120 @@
+import React, { useMemo, useRef, useState } from 'react'
+import { MagicBox } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
+import { FileZip } from '@/app/components/base/icons/src/vender/solid/files'
+import { Github } from '@/app/components/base/icons/src/vender/solid/general'
+import InstallFromGitHub from '@/app/components/plugins/install-plugin/install-from-github'
+import InstallFromLocalPackage from '@/app/components/plugins/install-plugin/install-from-local-package'
+import { usePluginPageContext } from '../context'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import Line from '../../marketplace/empty/line'
+import { useInstalledPluginList } from '@/service/use-plugins'
+import { useTranslation } from 'react-i18next'
+import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config'
+
+const Empty = () => {
+  const { t } = useTranslation()
+  const fileInputRef = useRef<HTMLInputElement>(null)
+  const [selectedAction, setSelectedAction] = useState<string | null>(null)
+  const [selectedFile, setSelectedFile] = useState<File | null>(null)
+  const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures)
+  const setActiveTab = usePluginPageContext(v => v.setActiveTab)
+
+  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0]
+    if (file) {
+      setSelectedFile(file)
+      setSelectedAction('local')
+    }
+  }
+  const filters = usePluginPageContext(v => v.filters)
+  const { data: pluginList } = useInstalledPluginList()
+
+  const text = useMemo(() => {
+    if (pluginList?.plugins.length === 0)
+      return t('plugin.list.noInstalled')
+    if (filters.categories.length > 0 || filters.tags.length > 0 || filters.searchQuery)
+      return t('plugin.list.notFound')
+  }, [pluginList?.plugins.length, t, filters.categories.length, filters.tags.length, filters.searchQuery])
+
+  return (
+    <div className='grow w-full relative z-0'>
+      {/* skeleton */}
+      <div className='h-full w-full px-12 absolute top-0 grid grid-cols-2 gap-2 overflow-hidden z-10'>
+        {Array.from({ length: 20 }).fill(0).map((_, i) => (
+          <div key={i} className='h-[100px] bg-components-card-bg rounded-xl' />
+        ))}
+      </div>
+      {/* mask */}
+      <div className='h-full w-full absolute z-20 bg-gradient-to-b from-background-gradient-mask-transparent to-white' />
+      <div className='flex items-center justify-center h-full relative z-30'>
+        <div className='flex flex-col items-center gap-y-3'>
+          <div className='relative -z-10 flex items-center justify-center w-[52px] h-[52px] rounded-xl
+          bg-components-card-bg border-[1px] border-dashed border-divider-deep shadow-xl shadow-shadow-shadow-5'>
+            <Group className='text-text-tertiary w-5 h-5' />
+            <Line className='absolute -right-[1px] top-1/2 -translate-y-1/2' />
+            <Line className='absolute -left-[1px] top-1/2 -translate-y-1/2' />
+            <Line className='absolute top-0 left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' />
+            <Line className='absolute top-full left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' />
+          </div>
+          <div className='text-text-tertiary text-sm font-normal'>
+            {text}
+          </div>
+          <div className='flex flex-col w-[240px]'>
+            <input
+              type='file'
+              ref={fileInputRef}
+              style={{ display: 'none' }}
+              onChange={handleFileChange}
+              accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS}
+            />
+            <div className='w-full flex flex-col gap-y-1'>
+              {[
+                ...(
+                  (enable_marketplace || true)
+                    ? [{ icon: MagicBox, text: t('plugin.list.source.marketplace'), action: 'marketplace' }]
+                    : []
+                ),
+                { icon: Github, text: t('plugin.list.source.github'), action: 'github' },
+                { icon: FileZip, text: t('plugin.list.source.local'), action: 'local' },
+              ].map(({ icon: Icon, text, action }) => (
+                <div
+                  key={action}
+                  className='flex items-center px-3 py-2 gap-x-1 rounded-lg bg-components-button-secondary-bg
+                  hover:bg-state-base-hover cursor-pointer border-[0.5px] shadow-shadow-shadow-3 shadow-xs'
+                  onClick={() => {
+                    if (action === 'local')
+                      fileInputRef.current?.click()
+                    else if (action === 'marketplace')
+                      setActiveTab('discover')
+                    else
+                      setSelectedAction(action)
+                  }}
+                >
+                  <Icon className="w-4 h-4 text-text-tertiary" />
+                  <span className='text-text-secondary system-md-regular'>{text}</span>
+                </div>
+              ))}
+            </div>
+          </div>
+        </div>
+        {selectedAction === 'github' && <InstallFromGitHub
+          onSuccess={() => { }}
+          onClose={() => setSelectedAction(null)}
+        />}
+        {selectedAction === 'local' && selectedFile
+          && (<InstallFromLocalPackage
+            file={selectedFile}
+            onClose={() => setSelectedAction(null)}
+            onSuccess={() => { }}
+          />
+          )
+        }
+      </div>
+    </div>
+  )
+}
+
+Empty.displayName = 'Empty'
+
+export default React.memo(Empty)
diff --git a/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx b/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx
new file mode 100644
index 0000000000..7c3417eec3
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx
@@ -0,0 +1,127 @@
+'use client'
+
+import { useState } from 'react'
+import {
+  RiArrowDownSLine,
+  RiCloseCircleFill,
+} from '@remixicon/react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Checkbox from '@/app/components/base/checkbox'
+import cn from '@/utils/classnames'
+import Input from '@/app/components/base/input'
+import { useCategories } from '../../hooks'
+import { useTranslation } from 'react-i18next'
+
+type CategoriesFilterProps = {
+  value: string[]
+  onChange: (categories: string[]) => void
+}
+const CategoriesFilter = ({
+  value,
+  onChange,
+}: CategoriesFilterProps) => {
+  const { t } = useTranslation()
+  const [open, setOpen] = useState(false)
+  const [searchText, setSearchText] = useState('')
+  const { categories: options, categoriesMap } = useCategories()
+  const filteredOptions = options.filter(option => option.name.toLowerCase().includes(searchText.toLowerCase()))
+  const handleCheck = (id: string) => {
+    if (value.includes(id))
+      onChange(value.filter(tag => tag !== id))
+    else
+      onChange([...value, id])
+  }
+  const selectedTagsLength = value.length
+
+  return (
+    <PortalToFollowElem
+      placement='bottom-start'
+      offset={{
+        mainAxis: 4,
+      }}
+      open={open}
+      onOpenChange={setOpen}
+    >
+      <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}>
+        <div className={cn(
+          'flex items-center px-2 py-1 h-8 text-text-tertiary rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover-alt cursor-pointer',
+          selectedTagsLength && 'text-text-secondary',
+          open && 'bg-state-base-hover',
+        )}>
+          <div className={cn(
+            'flex items-center p-1 system-sm-medium',
+          )}>
+            {
+              !selectedTagsLength && t('plugin.allCategories')
+            }
+            {
+              !!selectedTagsLength && value.map(val => categoriesMap[val].label).slice(0, 2).join(',')
+            }
+            {
+              selectedTagsLength > 2 && (
+                <div className='ml-1 system-xs-medium text-text-tertiary'>
+                  +{selectedTagsLength - 2}
+                </div>
+              )
+            }
+          </div>
+          {
+            !!selectedTagsLength && (
+              <RiCloseCircleFill
+                className='w-4 h-4 text-text-quaternary cursor-pointer'
+                onClick={
+                  (e) => {
+                    e.stopPropagation()
+                    onChange([])
+                  }
+                }
+              />
+            )
+          }
+          {
+            !selectedTagsLength && (
+              <RiArrowDownSLine className='w-4 h-4' />
+            )
+          }
+        </div>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent className='z-10'>
+        <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'>
+          <div className='p-2 pb-1'>
+            <Input
+              showLeftIcon
+              value={searchText}
+              onChange={e => setSearchText(e.target.value)}
+              placeholder={t('plugin.searchCategories')}
+            />
+          </div>
+          <div className='p-1 max-h-[448px] overflow-y-auto'>
+            {
+              filteredOptions.map(option => (
+                <div
+                  key={option.name}
+                  className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover'
+                  onClick={() => handleCheck(option.name)}
+                >
+                  <Checkbox
+                    className='mr-1'
+                    checked={value.includes(option.name)}
+                  />
+                  <div className='px-1 system-sm-medium text-text-secondary'>
+                    {option.label}
+                  </div>
+                </div>
+              ))
+            }
+          </div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default CategoriesFilter
diff --git a/web/app/components/plugins/plugin-page/filter-management/constant.ts b/web/app/components/plugins/plugin-page/filter-management/constant.ts
new file mode 100644
index 0000000000..80f786230c
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/constant.ts
@@ -0,0 +1,11 @@
+export type Tag = {
+  id: string
+  name: string
+  type: string
+  binding_count: number
+}
+
+export type Category = {
+  name: 'model' | 'tool' | 'extension' | 'bundle'
+  binding_count: number
+}
diff --git a/web/app/components/plugins/plugin-page/filter-management/index.tsx b/web/app/components/plugins/plugin-page/filter-management/index.tsx
new file mode 100644
index 0000000000..c7a0bc7cd9
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/index.tsx
@@ -0,0 +1,45 @@
+import React, { useState } from 'react'
+import CategoriesFilter from './category-filter'
+import TagFilter from './tag-filter'
+import SearchBox from './search-box'
+import { usePluginPageContext } from '../context'
+
+export type FilterState = {
+  categories: string[]
+  tags: string[]
+  searchQuery: string
+}
+
+type FilterManagementProps = {
+  onFilterChange: (filters: FilterState) => void
+}
+
+const FilterManagement: React.FC<FilterManagementProps> = ({ onFilterChange }) => {
+  const initFilters = usePluginPageContext(v => v.filters) as FilterState
+  const [filters, setFilters] = useState<FilterState>(initFilters)
+
+  const updateFilters = (newFilters: Partial<FilterState>) => {
+    const updatedFilters = { ...filters, ...newFilters }
+    setFilters(updatedFilters)
+    onFilterChange(updatedFilters)
+  }
+
+  return (
+    <div className='flex items-center gap-2 self-stretch'>
+      <CategoriesFilter
+        value={filters.categories}
+        onChange={categories => updateFilters({ categories })}
+      />
+      <TagFilter
+        value={filters.tags}
+        onChange={tags => updateFilters({ tags })}
+      />
+      <SearchBox
+        searchQuery={filters.searchQuery}
+        onChange={searchQuery => updateFilters({ searchQuery })}
+      />
+    </div>
+  )
+}
+
+export default FilterManagement
diff --git a/web/app/components/plugins/plugin-page/filter-management/search-box.tsx b/web/app/components/plugins/plugin-page/filter-management/search-box.tsx
new file mode 100644
index 0000000000..ad3547e89b
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/search-box.tsx
@@ -0,0 +1,30 @@
+'use client'
+
+import Input from '@/app/components/base/input'
+import { useTranslation } from 'react-i18next'
+type SearchBoxProps = {
+  searchQuery: string
+  onChange: (query: string) => void
+}
+
+const SearchBox: React.FC<SearchBoxProps> = ({
+  searchQuery,
+  onChange,
+}) => {
+  const { t } = useTranslation()
+
+  return (
+    <Input
+      wrapperClassName='flex w-[200px] items-center rounded-lg'
+      className='bg-components-input-bg-normal'
+      showLeftIcon
+      value={searchQuery}
+      placeholder={t('plugin.search')}
+      onChange={(e) => {
+        onChange(e.target.value)
+      }}
+    />
+  )
+}
+
+export default SearchBox
diff --git a/web/app/components/plugins/plugin-page/filter-management/store.ts b/web/app/components/plugins/plugin-page/filter-management/store.ts
new file mode 100644
index 0000000000..4b55bf2681
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/store.ts
@@ -0,0 +1,27 @@
+import { create } from 'zustand'
+import type { Category, Tag } from './constant'
+
+type State = {
+  tagList: Tag[]
+  categoryList: Category[]
+  showTagManagementModal: boolean
+  showCategoryManagementModal: boolean
+}
+
+type Action = {
+  setTagList: (tagList?: Tag[]) => void
+  setCategoryList: (categoryList?: Category[]) => void
+  setShowTagManagementModal: (showTagManagementModal: boolean) => void
+  setShowCategoryManagementModal: (showCategoryManagementModal: boolean) => void
+}
+
+export const useStore = create<State & Action>(set => ({
+  tagList: [],
+  categoryList: [],
+  setTagList: tagList => set(() => ({ tagList })),
+  setCategoryList: categoryList => set(() => ({ categoryList })),
+  showTagManagementModal: false,
+  showCategoryManagementModal: false,
+  setShowTagManagementModal: showTagManagementModal => set(() => ({ showTagManagementModal })),
+  setShowCategoryManagementModal: showCategoryManagementModal => set(() => ({ showCategoryManagementModal })),
+}))
diff --git a/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx b/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx
new file mode 100644
index 0000000000..dd1781d9f4
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx
@@ -0,0 +1,122 @@
+'use client'
+
+import { useState } from 'react'
+import {
+  RiArrowDownSLine,
+  RiCloseCircleFill,
+} from '@remixicon/react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Checkbox from '@/app/components/base/checkbox'
+import cn from '@/utils/classnames'
+import Input from '@/app/components/base/input'
+import { useTags } from '../../hooks'
+import { useTranslation } from 'react-i18next'
+
+type TagsFilterProps = {
+  value: string[]
+  onChange: (tags: string[]) => void
+}
+const TagsFilter = ({
+  value,
+  onChange,
+}: TagsFilterProps) => {
+  const { t } = useTranslation()
+  const [open, setOpen] = useState(false)
+  const [searchText, setSearchText] = useState('')
+  const { tags: options, tagsMap } = useTags()
+  const filteredOptions = options.filter(option => option.name.toLowerCase().includes(searchText.toLowerCase()))
+  const handleCheck = (id: string) => {
+    if (value.includes(id))
+      onChange(value.filter(tag => tag !== id))
+    else
+      onChange([...value, id])
+  }
+  const selectedTagsLength = value.length
+
+  return (
+    <PortalToFollowElem
+      placement='bottom-start'
+      offset={{
+        mainAxis: 4,
+      }}
+      open={open}
+      onOpenChange={setOpen}
+    >
+      <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}>
+        <div className={cn(
+          'flex items-center px-2 py-1 h-8 text-text-tertiary rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover-alt cursor-pointer',
+          selectedTagsLength && 'text-text-secondary',
+          open && 'bg-state-base-hover',
+        )}>
+          <div className={cn(
+            'flex items-center p-1 system-sm-medium',
+          )}>
+            {
+              !selectedTagsLength && t('pluginTags.allTags')
+            }
+            {
+              !!selectedTagsLength && value.map(val => tagsMap[val].label).slice(0, 2).join(',')
+            }
+            {
+              selectedTagsLength > 2 && (
+                <div className='ml-1 system-xs-medium text-text-tertiary'>
+                  +{selectedTagsLength - 2}
+                </div>
+              )
+            }
+          </div>
+          {
+            !!selectedTagsLength && (
+              <RiCloseCircleFill
+                className='w-4 h-4 text-text-quaternary cursor-pointer'
+                onClick={() => onChange([])}
+              />
+            )
+          }
+          {
+            !selectedTagsLength && (
+              <RiArrowDownSLine className='w-4 h-4' />
+            )
+          }
+        </div>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent className='z-10'>
+        <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'>
+          <div className='p-2 pb-1'>
+            <Input
+              showLeftIcon
+              value={searchText}
+              onChange={e => setSearchText(e.target.value)}
+              placeholder={t('pluginTags.searchTags')}
+            />
+          </div>
+          <div className='p-1 max-h-[448px] overflow-y-auto'>
+            {
+              filteredOptions.map(option => (
+                <div
+                  key={option.name}
+                  className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover'
+                  onClick={() => handleCheck(option.name)}
+                >
+                  <Checkbox
+                    className='mr-1'
+                    checked={value.includes(option.name)}
+                  />
+                  <div className='px-1 system-sm-medium text-text-secondary'>
+                    {option.label}
+                  </div>
+                </div>
+              ))
+            }
+          </div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default TagsFilter
diff --git a/web/app/components/plugins/plugin-page/index.tsx b/web/app/components/plugins/plugin-page/index.tsx
new file mode 100644
index 0000000000..7eea8fea0f
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/index.tsx
@@ -0,0 +1,276 @@
+'use client'
+
+import { useEffect, useMemo, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import Link from 'next/link'
+import {
+  RiBookOpenLine,
+  RiDragDropLine,
+  RiEqualizer2Line,
+} from '@remixicon/react'
+import { useBoolean } from 'ahooks'
+import InstallFromLocalPackage from '../install-plugin/install-from-local-package'
+import {
+  PluginPageContextProvider,
+  usePluginPageContext,
+} from './context'
+import InstallPluginDropdown from './install-plugin-dropdown'
+import { useUploader } from './use-uploader'
+import usePermission from './use-permission'
+import DebugInfo from './debug-info'
+import PluginTasks from './plugin-tasks'
+import Button from '@/app/components/base/button'
+import TabSlider from '@/app/components/base/tab-slider'
+import Tooltip from '@/app/components/base/tooltip'
+import cn from '@/utils/classnames'
+import PermissionSetModal from '@/app/components/plugins/permission-setting-modal/modal'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import InstallFromMarketplace from '../install-plugin/install-from-marketplace'
+import {
+  useRouter,
+  useSearchParams,
+} from 'next/navigation'
+import type { Dependency } from '../types'
+import type { PluginDeclaration, PluginManifestInMarket } from '../types'
+import { sleep } from '@/utils'
+import { fetchBundleInfoFromMarketPlace, fetchManifestFromMarketPlace } from '@/service/plugins'
+import { marketplaceApiPrefix } from '@/config'
+import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config'
+
+const PACKAGE_IDS_KEY = 'package-ids'
+const BUNDLE_INFO_KEY = 'bundle-info'
+
+export type PluginPageProps = {
+  plugins: React.ReactNode
+  marketplace: React.ReactNode
+}
+const PluginPage = ({
+  plugins,
+  marketplace,
+}: PluginPageProps) => {
+  const { t } = useTranslation()
+  const searchParams = useSearchParams()
+  const { replace } = useRouter()
+
+  // just support install one package now
+  const packageId = useMemo(() => {
+    const idStrings = searchParams.get(PACKAGE_IDS_KEY)
+    try {
+      return idStrings ? JSON.parse(idStrings)[0] : ''
+    }
+    catch (e) {
+      return ''
+    }
+  }, [searchParams])
+
+  const [dependencies, setDependencies] = useState<Dependency[]>([])
+  const bundleInfo = useMemo(() => {
+    const info = searchParams.get(BUNDLE_INFO_KEY)
+    try {
+      return info ? JSON.parse(info) : undefined
+    }
+    catch (e) {
+      return undefined
+    }
+  }, [searchParams])
+
+  const [isShowInstallFromMarketplace, {
+    setTrue: showInstallFromMarketplace,
+    setFalse: doHideInstallFromMarketplace,
+  }] = useBoolean(false)
+
+  const hideInstallFromMarketplace = () => {
+    doHideInstallFromMarketplace()
+    const url = new URL(window.location.href)
+    url.searchParams.delete(PACKAGE_IDS_KEY)
+    url.searchParams.delete(BUNDLE_INFO_KEY)
+    replace(url.toString())
+  }
+  const [manifest, setManifest] = useState<PluginDeclaration | PluginManifestInMarket | null>(null)
+
+  useEffect(() => {
+    (async () => {
+      await sleep(100)
+      if (packageId) {
+        const { data } = await fetchManifestFromMarketPlace(encodeURIComponent(packageId))
+        const { plugin, version } = data
+        setManifest({
+          ...plugin,
+          version: version.version,
+          icon: `${marketplaceApiPrefix}/plugins/${plugin.org}/${plugin.name}/icon`,
+        })
+        showInstallFromMarketplace()
+        return
+      }
+      if (bundleInfo) {
+        const { data } = await fetchBundleInfoFromMarketPlace(bundleInfo)
+        setDependencies(data.version.dependencies)
+        showInstallFromMarketplace()
+      }
+    })()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [packageId, bundleInfo])
+
+  const {
+    canManagement,
+    canDebugger,
+    canSetPermissions,
+    permissions,
+    setPermissions,
+  } = usePermission()
+  const [showPluginSettingModal, {
+    setTrue: setShowPluginSettingModal,
+    setFalse: setHidePluginSettingModal,
+  }] = useBoolean()
+  const [currentFile, setCurrentFile] = useState<File | null>(null)
+  const containerRef = usePluginPageContext(v => v.containerRef)
+  const options = usePluginPageContext(v => v.options)
+  const activeTab = usePluginPageContext(v => v.activeTab)
+  const setActiveTab = usePluginPageContext(v => v.setActiveTab)
+  const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures)
+
+  const uploaderProps = useUploader({
+    onFileChange: setCurrentFile,
+    containerRef,
+    enabled: activeTab === 'plugins',
+  })
+
+  const { dragging, fileUploader, fileChangeHandle, removeFile } = uploaderProps
+
+  return (
+    <div
+      id='marketplace-container'
+      ref={containerRef}
+      className={cn('grow relative flex flex-col overflow-y-auto border-t border-divider-subtle', activeTab === 'plugins'
+        ? 'rounded-t-xl bg-components-panel-bg'
+        : 'bg-background-body',
+      )}
+    >
+      <div
+        className={cn(
+          'sticky top-0 flex min-h-[60px] px-12 pt-4 pb-2 items-center self-stretch gap-1 z-10 bg-components-panel-bg', activeTab === 'discover' && 'bg-background-body',
+        )}
+      >
+        <div className='flex justify-between items-center w-full'>
+          <div className='flex-1'>
+            <TabSlider
+              value={activeTab}
+              onChange={setActiveTab}
+              options={options}
+            />
+          </div>
+          <div className='flex shrink-0 items-center gap-1'>
+            {
+              activeTab === 'discover' && (
+                <>
+                  <Link
+                    href='https://docs.dify.ai/plugins/publish-plugins/publish-to-dify-marketplace'
+                    target='_blank'
+                  >
+                    <Button
+                      className='px-3'
+                      variant='secondary-accent'
+                    >
+                      <RiBookOpenLine className='mr-1 w-4 h-4' />
+                      {t('plugin.submitPlugin')}
+                    </Button>
+                  </Link>
+                  <div className='mx-2 w-[1px] h-3.5 bg-divider-regular'></div>
+                </>
+              )
+            }
+            <PluginTasks />
+            {canManagement && (
+              <InstallPluginDropdown
+                onSwitchToMarketplaceTab={() => setActiveTab('discover')}
+              />
+            )}
+            {
+              canDebugger && (
+                <DebugInfo />
+              )
+            }
+            {
+              canSetPermissions && (
+                <Tooltip
+                  popupContent={t('plugin.privilege.title')}
+                >
+                  <Button
+                    className='w-full h-full p-2 text-components-button-secondary-text group'
+                    onClick={setShowPluginSettingModal}
+                  >
+                    <RiEqualizer2Line className='w-4 h-4' />
+                  </Button>
+                </Tooltip>
+              )
+            }
+          </div>
+        </div>
+      </div>
+      {activeTab === 'plugins' && (
+        <>
+          {plugins}
+          {dragging && (
+            <div
+              className="absolute inset-0 m-0.5 p-2 rounded-2xl bg-[rgba(21,90,239,0.14)] border-2
+                  border-dashed border-components-dropzone-border-accent">
+            </div>
+          )}
+          <div className={`flex py-4 justify-center items-center gap-2 ${dragging ? 'text-text-accent' : 'text-text-quaternary'}`}>
+            <RiDragDropLine className="w-4 h-4" />
+            <span className="system-xs-regular">{t('plugin.installModal.dropPluginToInstall')}</span>
+          </div>
+          {currentFile && (
+            <InstallFromLocalPackage
+              file={currentFile}
+              onClose={removeFile ?? (() => { })}
+              onSuccess={() => { }}
+            />
+          )}
+          <input
+            ref={fileUploader}
+            className="hidden"
+            type="file"
+            id="fileUploader"
+            accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS}
+            onChange={fileChangeHandle ?? (() => { })}
+          />
+        </>
+      )}
+      {
+        activeTab === 'discover' && enable_marketplace && marketplace
+      }
+
+      {showPluginSettingModal && (
+        <PermissionSetModal
+          payload={permissions!}
+          onHide={setHidePluginSettingModal}
+          onSave={setPermissions}
+        />
+      )}
+
+      {
+        isShowInstallFromMarketplace && (
+          <InstallFromMarketplace
+            manifest={manifest! as PluginManifestInMarket}
+            uniqueIdentifier={packageId}
+            isBundle={!!bundleInfo}
+            dependencies={dependencies}
+            onClose={hideInstallFromMarketplace}
+            onSuccess={hideInstallFromMarketplace}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+const PluginPageWithContext = (props: PluginPageProps) => {
+  return (
+    <PluginPageContextProvider>
+      <PluginPage {...props} />
+    </PluginPageContextProvider>
+  )
+}
+
+export default PluginPageWithContext
diff --git a/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx b/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx
new file mode 100644
index 0000000000..4c2d543e14
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx
@@ -0,0 +1,139 @@
+'use client'
+
+import { useRef, useState } from 'react'
+import { RiAddLine, RiArrowDownSLine } from '@remixicon/react'
+import Button from '@/app/components/base/button'
+import { MagicBox } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices'
+import { FileZip } from '@/app/components/base/icons/src/vender/solid/files'
+import { Github } from '@/app/components/base/icons/src/vender/solid/general'
+import InstallFromGitHub from '@/app/components/plugins/install-plugin/install-from-github'
+import InstallFromLocalPackage from '@/app/components/plugins/install-plugin/install-from-local-package'
+import cn from '@/utils/classnames'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import { useTranslation } from 'react-i18next'
+import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config'
+
+type Props = {
+  onSwitchToMarketplaceTab: () => void
+}
+const InstallPluginDropdown = ({
+  onSwitchToMarketplaceTab,
+}: Props) => {
+  const { t } = useTranslation()
+  const fileInputRef = useRef<HTMLInputElement>(null)
+  const [isMenuOpen, setIsMenuOpen] = useState(false)
+  const [selectedAction, setSelectedAction] = useState<string | null>(null)
+  const [selectedFile, setSelectedFile] = useState<File | null>(null)
+  const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures)
+
+  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0]
+    if (file) {
+      setSelectedFile(file)
+      setSelectedAction('local')
+      setIsMenuOpen(false)
+    }
+  }
+
+  // TODO TEST INSTALL : uninstall
+  // const [pluginLists, setPluginLists] = useState<any>([])
+  // useEffect(() => {
+  //   (async () => {
+  //     const list: any = await get('workspaces/current/plugin/list')
+  //   })()
+  // })
+
+  // const handleUninstall = async (id: string) => {
+  //   const res = await post('workspaces/current/plugin/uninstall', { body: { plugin_installation_id: id } })
+  //   console.log(res)
+  // }
+
+  return (
+    <PortalToFollowElem
+      open={isMenuOpen}
+      onOpenChange={setIsMenuOpen}
+      placement='bottom-start'
+      offset={4}
+    >
+      <div className="relative">
+        <PortalToFollowElemTrigger onClick={() => setIsMenuOpen(v => !v)}>
+          <Button
+            className={cn('w-full h-full p-2 text-components-button-secondary-text', isMenuOpen && 'bg-state-base-hover')}
+          >
+            <RiAddLine className='w-4 h-4' />
+            <span className='pl-1'>{t('plugin.installPlugin')}</span>
+            <RiArrowDownSLine className='w-4 h-4 ml-1' />
+          </Button>
+        </PortalToFollowElemTrigger>
+        <PortalToFollowElemContent className='z-[1002]'>
+          <div className='flex flex-col p-1 pb-2 items-start w-[200px] bg-components-panel-bg-blur border border-components-panel-border rounded-xl shadows-shadow-lg'>
+            <span className='flex pt-1 pb-0.5 pl-2 pr-3 items-start self-stretch text-text-tertiary system-xs-medium-uppercase'>
+              {t('plugin.installFrom')}
+            </span>
+            <input
+              type='file'
+              ref={fileInputRef}
+              style={{ display: 'none' }}
+              onChange={handleFileChange}
+              accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS}
+            />
+            <div className='w-full'>
+              {[
+                ...(
+                  (enable_marketplace || true)
+                    ? [{ icon: MagicBox, text: t('plugin.source.marketplace'), action: 'marketplace' }]
+                    : []
+                ),
+                { icon: Github, text: t('plugin.source.github'), action: 'github' },
+                { icon: FileZip, text: t('plugin.source.local'), action: 'local' },
+              ].map(({ icon: Icon, text, action }) => (
+                <div
+                  key={action}
+                  className='flex items-center w-full px-2 py-1.5 gap-1 rounded-lg hover:bg-state-base-hover !cursor-pointer'
+                  onClick={() => {
+                    if (action === 'local') {
+                      fileInputRef.current?.click()
+                    }
+                    else if (action === 'marketplace') {
+                      onSwitchToMarketplaceTab()
+                      setIsMenuOpen(false)
+                    }
+                    else {
+                      setSelectedAction(action)
+                      setIsMenuOpen(false)
+                    }
+                  }}
+                >
+                  <Icon className="w-4 h-4 text-text-tertiary" />
+                  <span className='px-1 text-text-secondary system-md-regular'>{text}</span>
+                </div>
+              ))}
+            </div>
+          </div>
+        </PortalToFollowElemContent>
+      </div>
+      {selectedAction === 'github' && <InstallFromGitHub
+        onSuccess={() => { }}
+        onClose={() => setSelectedAction(null)}
+      />}
+      {selectedAction === 'local' && selectedFile
+        && (<InstallFromLocalPackage
+          file={selectedFile}
+          onClose={() => setSelectedAction(null)}
+          onSuccess={() => { }}
+        />
+        )
+      }
+      {/* {pluginLists.map((item: any) => (
+        <div key={item.id} onClick={() => handleUninstall(item.id)}>{item.name} 卸载</div>
+      ))} */}
+    </PortalToFollowElem>
+  )
+}
+
+export default InstallPluginDropdown
diff --git a/web/app/components/plugins/plugin-page/list/index.tsx b/web/app/components/plugins/plugin-page/list/index.tsx
new file mode 100644
index 0000000000..9e9cf00c9f
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/list/index.tsx
@@ -0,0 +1,23 @@
+import type { FC } from 'react'
+import PluginItem from '../../plugin-item'
+import type { PluginDetail } from '../../types'
+
+type IPluginListProps = {
+  pluginList: PluginDetail[]
+}
+
+const PluginList: FC<IPluginListProps> = ({ pluginList }) => {
+  return (
+    <div className='pb-3'>
+      <div className='grid grid-cols-2 gap-3'>
+        {pluginList.map(plugin => (
+          <PluginItem
+            key={plugin.plugin_id}
+            plugin={plugin}
+          />
+        ))}
+      </div>
+    </div>
+  )
+}
+export default PluginList
diff --git a/web/app/components/plugins/plugin-page/plugin-info.tsx b/web/app/components/plugins/plugin-page/plugin-info.tsx
new file mode 100644
index 0000000000..abd297905a
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/plugin-info.tsx
@@ -0,0 +1,41 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import KeyValueItem from '../base/key-value-item'
+import Modal from '../../base/modal'
+import { convertRepoToUrl } from '../install-plugin/utils'
+
+const i18nPrefix = 'plugin.pluginInfoModal'
+type Props = {
+  repository?: string
+  release?: string
+  packageName?: string
+  onHide: () => void
+}
+
+const PlugInfo: FC<Props> = ({
+  repository,
+  release,
+  packageName,
+  onHide,
+}) => {
+  const { t } = useTranslation()
+  const labelWidthClassName = 'w-[96px]'
+  return (
+    <Modal
+      title={t(`${i18nPrefix}.title`)}
+      className='w-[480px]'
+      isShow
+      onClose={onHide}
+      closable
+    >
+      <div className='mt-5 space-y-3'>
+        {repository && <KeyValueItem label={t(`${i18nPrefix}.repository`)} labelWidthClassName={labelWidthClassName} value={`${convertRepoToUrl(repository)}`} valueMaxWidthClassName='max-w-[190px]' />}
+        {release && <KeyValueItem label={t(`${i18nPrefix}.release`)} labelWidthClassName={labelWidthClassName} value={release} />}
+        {packageName && <KeyValueItem label={t(`${i18nPrefix}.packageName`)} labelWidthClassName={labelWidthClassName} value={packageName} />}
+      </div>
+    </Modal>
+  )
+}
+export default React.memo(PlugInfo)
diff --git a/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts b/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts
new file mode 100644
index 0000000000..f32a812c13
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts
@@ -0,0 +1,100 @@
+import {
+  useCallback,
+  useEffect,
+  useRef,
+  useState,
+} from 'react'
+import { TaskStatus } from '@/app/components/plugins/types'
+import type { PluginStatus } from '@/app/components/plugins/types'
+import {
+  useMutationClearAllTaskPlugin,
+  useMutationClearTaskPlugin,
+  usePluginTaskList,
+} from '@/service/use-plugins'
+
+export const usePluginTaskStatus = () => {
+  const {
+    pluginTasks,
+    handleRefetch,
+  } = usePluginTaskList()
+  const { mutateAsync } = useMutationClearTaskPlugin()
+  const { mutateAsync: mutateAsyncClearAll } = useMutationClearAllTaskPlugin()
+  const allPlugins = pluginTasks.filter(task => task.status !== TaskStatus.success).map(task => task.plugins.map((plugin) => {
+    return {
+      ...plugin,
+      taskId: task.id,
+    }
+  })).flat()
+  const errorPlugins: PluginStatus[] = []
+  const successPlugins: PluginStatus[] = []
+  const runningPlugins: PluginStatus[] = []
+
+  allPlugins.forEach((plugin) => {
+    if (plugin.status === TaskStatus.running)
+      runningPlugins.push(plugin)
+    if (plugin.status === TaskStatus.failed)
+      errorPlugins.push(plugin)
+    if (plugin.status === TaskStatus.success)
+      successPlugins.push(plugin)
+  })
+
+  const handleClearErrorPlugin = useCallback(async (taskId: string, pluginId: string) => {
+    await mutateAsync({
+      taskId,
+      pluginId,
+    })
+    handleRefetch()
+  }, [mutateAsync, handleRefetch])
+  const handleClearAllErrorPlugin = useCallback(async () => {
+    await mutateAsyncClearAll()
+    handleRefetch()
+  }, [mutateAsyncClearAll, handleRefetch])
+  const totalPluginsLength = allPlugins.length
+  const runningPluginsLength = runningPlugins.length
+  const errorPluginsLength = errorPlugins.length
+  const successPluginsLength = successPlugins.length
+
+  const isInstalling = runningPluginsLength > 0 && errorPluginsLength === 0 && successPluginsLength === 0
+  const isInstallingWithSuccess = runningPluginsLength > 0 && successPluginsLength > 0 && errorPluginsLength === 0
+  const isInstallingWithError = runningPluginsLength > 0 && errorPluginsLength > 0
+  const isSuccess = successPluginsLength === totalPluginsLength && totalPluginsLength > 0
+  const isFailed = runningPluginsLength === 0 && (errorPluginsLength + successPluginsLength) === totalPluginsLength && totalPluginsLength > 0 && errorPluginsLength > 0
+
+  const [opacity, setOpacity] = useState(1)
+  const timerRef = useRef<NodeJS.Timeout | null>(null)
+
+  useEffect(() => {
+    if (isSuccess) {
+      if (timerRef.current) {
+        clearTimeout(timerRef.current)
+        timerRef.current = null
+      }
+      if (opacity > 0) {
+        timerRef.current = setTimeout(() => {
+          setOpacity(v => v - 0.1)
+        }, 200)
+      }
+    }
+
+    if (!isSuccess)
+      setOpacity(1)
+  }, [isSuccess, opacity])
+
+  return {
+    errorPlugins,
+    successPlugins,
+    runningPlugins,
+    runningPluginsLength,
+    errorPluginsLength,
+    successPluginsLength,
+    totalPluginsLength,
+    isInstalling,
+    isInstallingWithSuccess,
+    isInstallingWithError,
+    isSuccess,
+    isFailed,
+    handleClearErrorPlugin,
+    handleClearAllErrorPlugin,
+    opacity,
+  }
+}
diff --git a/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx b/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx
new file mode 100644
index 0000000000..997877e3a4
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx
@@ -0,0 +1,194 @@
+import {
+  useMemo,
+  useState,
+} from 'react'
+import {
+  RiCheckboxCircleFill,
+  RiErrorWarningFill,
+  RiInstallLine,
+} from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import { usePluginTaskStatus } from './hooks'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Tooltip from '@/app/components/base/tooltip'
+import Button from '@/app/components/base/button'
+import ProgressCircle from '@/app/components/base/progress-bar/progress-circle'
+import CardIcon from '@/app/components/plugins/card/base/card-icon'
+import cn from '@/utils/classnames'
+import { useGetLanguage } from '@/context/i18n'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+import DownloadingIcon from '@/app/components/header/plugins-nav/downloading-icon'
+
+const PluginTasks = () => {
+  const { t } = useTranslation()
+  const language = useGetLanguage()
+  const [open, setOpen] = useState(false)
+  const {
+    errorPlugins,
+    runningPluginsLength,
+    successPluginsLength,
+    errorPluginsLength,
+    totalPluginsLength,
+    isInstalling,
+    isInstallingWithSuccess,
+    isInstallingWithError,
+    isSuccess,
+    isFailed,
+    handleClearErrorPlugin,
+    handleClearAllErrorPlugin,
+    opacity,
+  } = usePluginTaskStatus()
+  const { getIconUrl } = useGetIcon()
+
+  const tip = useMemo(() => {
+    if (isInstalling)
+      return t('plugin.task.installing', { installingLength: runningPluginsLength })
+
+    if (isInstallingWithSuccess)
+      return t('plugin.task.installingWithSuccess', { installingLength: runningPluginsLength, successLength: successPluginsLength })
+
+    if (isInstallingWithError)
+      return t('plugin.task.installingWithError', { installingLength: runningPluginsLength, successLength: successPluginsLength, errorLength: errorPluginsLength })
+
+    if (isFailed)
+      return t('plugin.task.installError', { errorLength: errorPluginsLength })
+  }, [isInstalling, isInstallingWithSuccess, isInstallingWithError, isFailed, errorPluginsLength, runningPluginsLength, successPluginsLength, t])
+
+  if (!totalPluginsLength)
+    return null
+
+  return (
+    <div
+      className='flex items-center'
+      style={{ opacity }}
+    >
+      <PortalToFollowElem
+        open={open}
+        onOpenChange={setOpen}
+        placement='bottom-start'
+        offset={{
+          mainAxis: 4,
+          crossAxis: 79,
+        }}
+      >
+        <PortalToFollowElemTrigger
+          onClick={() => {
+            if (isFailed)
+              setOpen(v => !v)
+          }}
+        >
+          <Tooltip popupContent={tip}>
+            <div
+              className={cn(
+                'relative flex items-center justify-center w-8 h-8 rounded-lg border-[0.5px] border-components-button-secondary-border bg-components-button-secondary-bg shadow-xs hover:bg-components-button-secondary-bg-hover',
+                (isInstallingWithError || isFailed) && 'border-components-button-destructive-secondary-border-hover bg-state-destructive-hover hover:bg-state-destructive-hover-alt cursor-pointer',
+              )}
+              id="plugin-task-trigger"
+            >
+              {
+                (isInstalling || isInstallingWithError) && (
+                  <DownloadingIcon />
+                )
+              }
+              {
+                !(isInstalling || isInstallingWithError) && (
+                  <RiInstallLine
+                    className={cn(
+                      'w-4 h-4 text-components-button-secondary-text',
+                      (isInstallingWithError || isFailed) && 'text-components-button-destructive-secondary-text',
+                    )}
+                  />
+                )
+              }
+              <div className='absolute -right-1 -top-1'>
+                {
+                  (isInstalling || isInstallingWithSuccess) && (
+                    <ProgressCircle
+                      percentage={successPluginsLength / totalPluginsLength * 100}
+                      circleFillColor='fill-components-progress-brand-bg'
+                    />
+                  )
+                }
+                {
+                  isInstallingWithError && (
+                    <ProgressCircle
+                      percentage={runningPluginsLength / totalPluginsLength * 100}
+                      circleFillColor='fill-components-progress-brand-bg'
+                      sectorFillColor='fill-components-progress-error-border'
+                      circleStrokeColor='stroke-components-progress-error-border'
+                    />
+                  )
+                }
+                {
+                  isSuccess && (
+                    <RiCheckboxCircleFill className='w-3.5 h-3.5 text-text-success' />
+                  )
+                }
+                {
+                  isFailed && (
+                    <RiErrorWarningFill className='w-3.5 h-3.5 text-text-destructive' />
+                  )
+                }
+              </div>
+            </div>
+          </Tooltip>
+        </PortalToFollowElemTrigger>
+        <PortalToFollowElemContent className='z-[11]'>
+          <div className='p-1 pb-2 w-[320px] rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg'>
+            <div className='sticky top-0 flex items-center justify-between px-2 pt-1 h-7 system-sm-semibold-uppercase'>
+              {t('plugin.task.installedError', { errorLength: errorPluginsLength })}
+              <Button
+                className='shrink-0'
+                size='small'
+                variant='ghost'
+                onClick={() => handleClearAllErrorPlugin()}
+              >
+                {t('plugin.task.clearAll')}
+              </Button>
+            </div>
+            <div className='max-h-[400px] overflow-y-auto'>
+              {
+                errorPlugins.map(errorPlugin => (
+                  <div
+                    key={errorPlugin.plugin_unique_identifier}
+                    className='flex p-2 rounded-lg hover:bg-state-base-hover'
+                  >
+                    <div className='relative flex items-center justify-center mr-2 w-6 h-6 rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge'>
+                      <RiErrorWarningFill className='absolute -right-0.5 -bottom-0.5 z-10 w-3 h-3 text-text-destructive' />
+                      <CardIcon
+                        size='tiny'
+                        src={getIconUrl(errorPlugin.icon)}
+                      />
+                    </div>
+                    <div className='grow'>
+                      <div className='system-md-regular text-text-secondary truncate'>
+                        {errorPlugin.labels[language]}
+                      </div>
+                      <div className='system-xs-regular text-text-destructive break-all'>
+                        {errorPlugin.message}
+                      </div>
+                    </div>
+                    <Button
+                      className='shrink-0'
+                      size='small'
+                      variant='ghost'
+                      onClick={() => handleClearErrorPlugin(errorPlugin.taskId, errorPlugin.plugin_unique_identifier)}
+                    >
+                      {t('common.operation.clear')}
+                    </Button>
+                  </div>
+                ))
+              }
+            </div>
+          </div>
+        </PortalToFollowElemContent>
+      </PortalToFollowElem>
+    </div>
+  )
+}
+
+export default PluginTasks
diff --git a/web/app/components/plugins/plugin-page/plugins-panel.tsx b/web/app/components/plugins/plugin-page/plugins-panel.tsx
new file mode 100644
index 0000000000..f1a5fba1b9
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/plugins-panel.tsx
@@ -0,0 +1,70 @@
+'use client'
+import { useMemo } from 'react'
+import type { FilterState } from './filter-management'
+import FilterManagement from './filter-management'
+import List from './list'
+import { useInstalledPluginList, useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel'
+import { usePluginPageContext } from './context'
+import { useDebounceFn } from 'ahooks'
+import Empty from './empty'
+import Loading from '../../base/loading'
+
+const PluginsPanel = () => {
+  const filters = usePluginPageContext(v => v.filters) as FilterState
+  const setFilters = usePluginPageContext(v => v.setFilters)
+  const { data: pluginList, isLoading: isPluginListLoading } = useInstalledPluginList()
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+  const currentPluginID = usePluginPageContext(v => v.currentPluginID)
+  const setCurrentPluginID = usePluginPageContext(v => v.setCurrentPluginID)
+
+  const { run: handleFilterChange } = useDebounceFn((filters: FilterState) => {
+    setFilters(filters)
+  }, { wait: 500 })
+
+  const filteredList = useMemo(() => {
+    const { categories, searchQuery, tags } = filters
+    const filteredList = pluginList?.plugins.filter((plugin) => {
+      return (
+        (categories.length === 0 || categories.includes(plugin.declaration.category))
+        && (tags.length === 0 || tags.some(tag => plugin.declaration.tags.includes(tag)))
+        && (searchQuery === '' || plugin.plugin_id.toLowerCase().includes(searchQuery.toLowerCase()))
+      )
+    })
+    return filteredList
+  }, [pluginList, filters])
+
+  const currentPluginDetail = useMemo(() => {
+    const detail = pluginList?.plugins.find(plugin => plugin.plugin_id === currentPluginID)
+    return detail
+  }, [currentPluginID, pluginList?.plugins])
+
+  const handleHide = () => setCurrentPluginID(undefined)
+
+  return (
+    <>
+      <div className='flex flex-col pt-1 pb-3 px-12 justify-center items-start gap-3 self-stretch'>
+        <div className='h-px self-stretch bg-divider-subtle'></div>
+        <FilterManagement
+          onFilterChange={handleFilterChange}
+        />
+      </div>
+      {isPluginListLoading ? <Loading type='app' /> : (filteredList?.length ?? 0) > 0 ? (
+        <div className='flex px-12 items-start content-start gap-2 grow self-stretch flex-wrap'>
+          <div className='w-full'>
+            <List pluginList={filteredList || []} />
+          </div>
+        </div>
+      ) : (
+        <Empty />
+      )}
+      <PluginDetailPanel
+        detail={currentPluginDetail}
+        onUpdate={() => invalidateInstalledPluginList()}
+        onHide={handleHide}
+      />
+    </>
+  )
+}
+
+export default PluginsPanel
diff --git a/web/app/components/plugins/plugin-page/use-permission.ts b/web/app/components/plugins/plugin-page/use-permission.ts
new file mode 100644
index 0000000000..c4fc01f2c3
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/use-permission.ts
@@ -0,0 +1,45 @@
+import { PermissionType } from '../types'
+import { useAppContext } from '@/context/app-context'
+import Toast from '../../base/toast'
+import { useTranslation } from 'react-i18next'
+import { useInvalidatePermissions, useMutationPermissions, usePermissions } from '@/service/use-plugins'
+
+const hasPermission = (permission: PermissionType | undefined, isAdmin: boolean) => {
+  if (!permission)
+    return false
+  if (permission === PermissionType.noOne)
+    return false
+
+  if (permission === PermissionType.everyone)
+    return true
+
+  return isAdmin
+}
+
+const usePermission = () => {
+  const { t } = useTranslation()
+  const { isCurrentWorkspaceManager, isCurrentWorkspaceOwner } = useAppContext()
+  const { data: permissions } = usePermissions()
+  const invalidatePermissions = useInvalidatePermissions()
+  const { mutate: updatePermission, isPending: isUpdatePending } = useMutationPermissions({
+    onSuccess: () => {
+      invalidatePermissions()
+      Toast.notify({
+        type: 'success',
+        message: t('common.api.actionSuccess'),
+      })
+    },
+  })
+  const isAdmin = isCurrentWorkspaceManager || isCurrentWorkspaceOwner
+
+  return {
+    canManagement: hasPermission(permissions?.install_permission, isAdmin),
+    canDebugger: hasPermission(permissions?.debug_permission, isAdmin),
+    canSetPermissions: isAdmin,
+    permissions,
+    setPermissions: updatePermission,
+    isUpdatePending,
+  }
+}
+
+export default usePermission
diff --git a/web/app/components/plugins/plugin-page/use-uploader.ts b/web/app/components/plugins/plugin-page/use-uploader.ts
new file mode 100644
index 0000000000..fb3974c448
--- /dev/null
+++ b/web/app/components/plugins/plugin-page/use-uploader.ts
@@ -0,0 +1,86 @@
+import { useEffect, useRef, useState } from 'react'
+
+type UploaderHookProps = {
+  onFileChange: (file: File | null) => void
+  containerRef: React.RefObject<HTMLDivElement>
+  enabled?: boolean
+}
+
+export const useUploader = ({ onFileChange, containerRef, enabled = true }: UploaderHookProps) => {
+  const [dragging, setDragging] = useState(false)
+  const fileUploader = useRef<HTMLInputElement>(null)
+
+  const handleDragEnter = (e: DragEvent) => {
+    e.preventDefault()
+    e.stopPropagation()
+    if (e.dataTransfer?.types.includes('Files'))
+      setDragging(true)
+  }
+
+  const handleDragOver = (e: DragEvent) => {
+    e.preventDefault()
+    e.stopPropagation()
+  }
+
+  const handleDragLeave = (e: DragEvent) => {
+    e.preventDefault()
+    e.stopPropagation()
+    if (e.relatedTarget === null || !containerRef.current?.contains(e.relatedTarget as Node))
+      setDragging(false)
+  }
+
+  const handleDrop = (e: DragEvent) => {
+    e.preventDefault()
+    e.stopPropagation()
+    setDragging(false)
+    if (!e.dataTransfer)
+      return
+    const files = [...e.dataTransfer.files]
+    if (files.length > 0)
+      onFileChange(files[0])
+  }
+
+  const fileChangeHandle = enabled
+    ? (e: React.ChangeEvent<HTMLInputElement>) => {
+      const file = e.target.files?.[0] || null
+      onFileChange(file)
+    }
+    : null
+
+  const removeFile = enabled
+    ? () => {
+      if (fileUploader.current)
+        fileUploader.current.value = ''
+
+      onFileChange(null)
+    }
+    : null
+
+  useEffect(() => {
+    if (!enabled)
+      return
+
+    const current = containerRef.current
+    if (current) {
+      current.addEventListener('dragenter', handleDragEnter)
+      current.addEventListener('dragover', handleDragOver)
+      current.addEventListener('dragleave', handleDragLeave)
+      current.addEventListener('drop', handleDrop)
+    }
+    return () => {
+      if (current) {
+        current.removeEventListener('dragenter', handleDragEnter)
+        current.removeEventListener('dragover', handleDragOver)
+        current.removeEventListener('dragleave', handleDragLeave)
+        current.removeEventListener('drop', handleDrop)
+      }
+    }
+  }, [containerRef, enabled])
+
+  return {
+    dragging: enabled ? dragging : false,
+    fileUploader,
+    fileChangeHandle,
+    removeFile,
+  }
+}
diff --git a/web/app/components/plugins/provider-card.tsx b/web/app/components/plugins/provider-card.tsx
new file mode 100644
index 0000000000..ed9ad9769f
--- /dev/null
+++ b/web/app/components/plugins/provider-card.tsx
@@ -0,0 +1,97 @@
+'use client'
+import React from 'react'
+import type { FC } from 'react'
+import { useTranslation } from 'react-i18next'
+import { RiArrowRightUpLine } from '@remixicon/react'
+import Badge from '../base/badge'
+import type { Plugin } from './types'
+import Description from './card/base/description'
+import Icon from './card/base/card-icon'
+import Title from './card/base/title'
+import DownloadCount from './card/base/download-count'
+import Button from '@/app/components/base/button'
+import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace'
+import cn from '@/utils/classnames'
+import { useBoolean } from 'ahooks'
+import { getPluginLinkInMarketplace } from '@/app/components/plugins/marketplace/utils'
+import { useI18N } from '@/context/i18n'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+
+type Props = {
+  className?: string
+  payload: Plugin
+}
+
+const ProviderCard: FC<Props> = ({
+  className,
+  payload,
+}) => {
+  const getValueFromI18nObject = useRenderI18nObject()
+  const { t } = useTranslation()
+  const [isShowInstallFromMarketplace, {
+    setTrue: showInstallFromMarketplace,
+    setFalse: hideInstallFromMarketplace,
+  }] = useBoolean(false)
+  const { org, label } = payload
+  const { locale } = useI18N()
+
+  return (
+    <div className={cn('group relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover:bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className)}>
+      {/* Header */}
+      <div className="flex">
+        <Icon src={payload.icon} />
+        <div className="ml-3 w-0 grow">
+          <div className="flex items-center h-5">
+            <Title title={getValueFromI18nObject(label)} />
+            {/* <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" /> */}
+          </div>
+          <div className='mb-1 flex justify-between items-center h-4'>
+            <div className='flex items-center'>
+              <div className='text-text-tertiary system-xs-regular'>{org}</div>
+              <div className='mx-2 text-text-quaternary system-xs-regular'>·</div>
+              <DownloadCount downloadCount={payload.install_count || 0} />
+            </div>
+          </div>
+        </div>
+      </div>
+      <Description className='mt-3' text={getValueFromI18nObject(payload.brief)} descriptionLineRows={2}></Description>
+      <div className='mt-3 flex space-x-0.5'>
+        {payload.tags.map(tag => (
+          <Badge key={tag.name} text={tag.name} />
+        ))}
+      </div>
+      <div
+        className='hidden group-hover:flex items-center gap-2 absolute bottom-0 left-0 right-0 p-4 pt-8 rounded-xl bg-gradient-to-tr from-components-panel-on-panel-item-bg to-background-gradient-mask-transparent'
+      >
+        <Button
+          className='grow'
+          variant='primary'
+          onClick={showInstallFromMarketplace}
+        >
+          {t('plugin.detailPanel.operation.install')}
+        </Button>
+        <Button
+          className='grow'
+          variant='secondary'
+        >
+          <a href={`${getPluginLinkInMarketplace(payload)}?language=${locale}`} target='_blank' className='flex items-center gap-0.5'>
+            {t('plugin.detailPanel.operation.detail')}
+            <RiArrowRightUpLine className='w-4 h-4' />
+          </a>
+        </Button>
+      </div>
+      {
+        isShowInstallFromMarketplace && (
+          <InstallFromMarketplace
+            manifest={payload as any}
+            uniqueIdentifier={payload.latest_package_identifier}
+            onClose={hideInstallFromMarketplace}
+            onSuccess={() => hideInstallFromMarketplace()}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+export default ProviderCard
diff --git a/web/app/components/plugins/types.ts b/web/app/components/plugins/types.ts
new file mode 100644
index 0000000000..8fefa5cdfd
--- /dev/null
+++ b/web/app/components/plugins/types.ts
@@ -0,0 +1,439 @@
+import type { CredentialFormSchemaBase } from '../header/account-setting/model-provider-page/declarations'
+import type { ToolCredential } from '@/app/components/tools/types'
+import type { Locale } from '@/i18n'
+
+export enum PluginType {
+  tool = 'tool',
+  model = 'model',
+  extension = 'extension',
+  agent = 'agent-strategy',
+}
+
+export enum PluginSource {
+  marketplace = 'marketplace',
+  github = 'github',
+  local = 'package',
+  debugging = 'remote',
+}
+
+export type PluginToolDeclaration = {
+  identity: {
+    author: string
+    name: string
+    description: Record<Locale, string>
+    icon: string
+    label: Record<Locale, string>
+    tags: string[]
+  }
+  credentials_schema: ToolCredential[] // TODO
+}
+
+export type PluginEndpointDeclaration = {
+  settings: ToolCredential[]
+  endpoints: EndpointItem[]
+}
+
+export type EndpointItem = {
+  path: string
+  method: string
+}
+
+export type EndpointListItem = {
+  id: string
+  created_at: string
+  updated_at: string
+  settings: Record<string, any>
+  tenant_id: string
+  plugin_id: string
+  expired_at: string
+  declaration: PluginEndpointDeclaration
+  name: string
+  enabled: boolean
+  url: string
+  hook_id: string
+}
+
+// Plugin manifest
+export type PluginDeclaration = {
+  plugin_unique_identifier: string
+  version: string
+  author: string
+  icon: string
+  name: string
+  category: PluginType
+  label: Record<Locale, string>
+  description: Record<Locale, string>
+  created_at: string
+  resource: any // useless in frontend
+  plugins: any // useless in frontend
+  verified: boolean
+  endpoint: PluginEndpointDeclaration
+  tool: PluginToolDeclaration
+  model: any
+  tags: string[]
+  agent_strategy: any
+}
+
+export type PluginManifestInMarket = {
+  plugin_unique_identifier: string
+  name: string
+  org: string
+  icon: string
+  label: Record<Locale, string>
+  category: PluginType
+  version: string // combine the other place to it
+  latest_version: string
+  brief: Record<Locale, string>
+  introduction: string
+  verified: boolean
+  install_count: number
+}
+
+export type PluginDetail = {
+  id: string
+  created_at: string
+  updated_at: string
+  name: string
+  plugin_id: string
+  plugin_unique_identifier: string
+  declaration: PluginDeclaration
+  installation_id: string
+  tenant_id: string
+  endpoints_setups: number
+  endpoints_active: number
+  version: string
+  latest_version: string
+  latest_unique_identifier: string
+  source: PluginSource
+  meta?: MetaData
+}
+
+export type PluginInfoFromMarketPlace = {
+  category: PluginType
+  latest_package_identifier: string
+  latest_version: string
+}
+
+export type Plugin = {
+  type: 'plugin' | 'bundle' | 'model' | 'extension' | 'tool' | 'agent_strategy'
+  org: string
+  author?: string
+  name: string
+  plugin_id: string
+  version: string
+  latest_version: string
+  latest_package_identifier: string
+  icon: string
+  verified: boolean
+  label: Record<Locale, string>
+  brief: Record<Locale, string>
+  description: Record<Locale, string>
+  // Repo readme.md content
+  introduction: string
+  repository: string
+  category: PluginType
+  install_count: number
+  endpoint: {
+    settings: CredentialFormSchemaBase[]
+  }
+  tags: { name: string }[]
+}
+
+export enum PermissionType {
+  everyone = 'everyone',
+  admin = 'admins',
+  noOne = 'noone',
+}
+
+export type Permissions = {
+  install_permission: PermissionType
+  debug_permission: PermissionType
+}
+
+export type UpdateFromMarketPlacePayload = {
+  category: PluginType
+  originalPackageInfo: {
+    id: string
+    payload: PluginDeclaration
+  },
+  targetPackageInfo: {
+    id: string
+    version: string
+  }
+}
+
+export type UpdateFromGitHubPayload = {
+  originalPackageInfo: {
+    id: string
+    repo: string
+    version: string
+    package: string
+    releases: GitHubRepoReleaseResponse[]
+  }
+}
+
+export type UpdatePluginPayload = {
+  type: PluginSource
+  category: PluginType
+  marketPlace?: UpdateFromMarketPlacePayload
+  github?: UpdateFromGitHubPayload
+}
+
+export type UpdatePluginModalType = UpdatePluginPayload & {
+  onCancel: () => void
+  onSave: () => void
+}
+
+export enum InstallStepFromGitHub {
+  setUrl = 'url',
+  selectPackage = 'selecting',
+  readyToInstall = 'readyToInstall',
+  uploadFailed = 'uploadFailed',
+  installed = 'installed',
+  installFailed = 'failed',
+}
+
+export type InstallState = {
+  step: InstallStepFromGitHub
+  repoUrl: string
+  selectedVersion: string
+  selectedPackage: string
+  releases: GitHubRepoReleaseResponse[]
+}
+
+export type GitHubUrlInfo = {
+  isValid: boolean
+  owner?: string
+  repo?: string
+}
+
+// endpoint
+export type EndpointOperationResponse = {
+  result: 'success' | 'error'
+}
+
+export type EndpointsResponse = {
+  endpoints: EndpointListItem[]
+  has_more: boolean
+  limit: number
+  total: number
+  page: number
+}
+export type UpdateEndpointRequest = {
+  endpoint_id: string
+  settings: Record<string, any>
+  name: string
+}
+
+export enum InstallStep {
+  uploading = 'uploading',
+  uploadFailed = 'uploadFailed',
+  readyToInstall = 'readyToInstall',
+  installing = 'installing',
+  installed = 'installed',
+  installFailed = 'failed',
+}
+
+export type GitHubAsset = {
+  id: number
+  name: string
+  browser_download_url: string
+}
+
+export type GitHubRepoReleaseResponse = {
+  tag_name: string
+  assets: GitHubAsset[]
+}
+
+export type InstallPackageResponse = {
+  plugin_unique_identifier: string
+  all_installed: boolean
+  task_id: string
+}
+
+export type InstallStatusResponse = {
+  success: boolean,
+  isFromMarketPlace?: boolean
+}
+
+export type updatePackageResponse = {
+  all_installed: boolean
+  task_id: string
+}
+
+export type uploadGitHubResponse = {
+  unique_identifier: string
+  manifest: PluginDeclaration
+}
+
+export type DebugInfo = {
+  key: string
+  host: string
+  port: number
+}
+
+export enum TaskStatus {
+  running = 'running',
+  success = 'success',
+  failed = 'failed',
+}
+
+export type PluginStatus = {
+  plugin_unique_identifier: string
+  plugin_id: string
+  status: TaskStatus
+  message: string
+  icon: string
+  labels: Record<Locale, string>
+  taskId: string
+}
+
+export type PluginTask = {
+  id: string
+  created_at: string
+  updated_at: string
+  status: string
+  total_plugins: number
+  completed_plugins: number
+  plugins: PluginStatus[]
+}
+
+export type TaskStatusResponse = {
+  task: PluginTask
+}
+
+export type PluginTasksResponse = {
+  tasks: PluginTask[]
+}
+
+export type MetaData = {
+  repo: string
+  version: string
+  package: string
+}
+
+export type InstalledPluginListResponse = {
+  plugins: PluginDetail[]
+}
+
+export type UninstallPluginResponse = {
+  success: boolean
+}
+
+export type PluginsFromMarketplaceResponse = {
+  plugins: Plugin[]
+  bundles?: Plugin[]
+  total: number
+}
+export type PluginsFromMarketplaceByInfoResponse = {
+  list: {
+    plugin: Plugin
+    version: {
+      plugin_name: string
+      plugin_org: string
+      unique_identifier: string
+    }
+  }[]
+}
+
+export type GitHubItemAndMarketPlaceDependency = {
+  type: 'github' | 'marketplace' | 'package'
+  value: {
+    repo?: string
+    version?: string // from app DSL
+    package?: string // from app DSL
+    release?: string // from local package. same to the version
+    packages?: string // from local package. same to the package
+    github_plugin_unique_identifier?: string
+    marketplace_plugin_unique_identifier?: string
+    plugin_unique_identifier?: string
+  }
+}
+
+export type PackageDependency = {
+  type: 'github' | 'marketplace' | 'package'
+  value: {
+    unique_identifier: string
+    manifest: PluginDeclaration
+  }
+}
+
+export type Dependency = GitHubItemAndMarketPlaceDependency | PackageDependency
+
+export type Version = {
+  plugin_org: string
+  plugin_name: string
+  version: string
+  file_name: string
+  checksum: string
+  created_at: string
+  unique_identifier: string
+}
+
+export type VersionListResponse = {
+  versions: Version[]
+}
+
+export type VersionInfo = {
+  installedId: string, // use to uninstall
+  installedVersion: string,
+  uniqueIdentifier: string
+}
+
+export type VersionProps = {
+  hasInstalled: boolean
+  installedVersion?: string
+  toInstallVersion: string
+}
+
+export type StrategyParamItem = {
+  name: string
+  label: Record<Locale, string>
+  human_description: Record<Locale, string>
+  llm_description: string
+  placeholder: Record<Locale, string>
+  type: string
+  scope: string
+  required: boolean
+  default: any
+  options: any[]
+  template: {
+    enabled: boolean
+  },
+  auto_generate: {
+    type: string
+  }
+}
+
+export type StrategyDetail = {
+  identity: {
+    author: string
+    name: string
+    icon: string
+    label: Record<Locale, string>
+    provider: string
+  },
+  parameters: StrategyParamItem[]
+  description: Record<Locale, string>
+  output_schema: Record<string, any>
+}
+
+export type StrategyDeclaration = {
+  identity: {
+    author: string
+    name: string
+    description: Record<Locale, string>
+    icon: string
+    label: Record<Locale, string>
+    tags: string[]
+  },
+  plugin_id: string
+  strategies: StrategyDetail[]
+}
+
+export type StrategyPluginDetail = {
+  provider: string
+  plugin_unique_identifier: string
+  plugin_id: string
+  declaration: StrategyDeclaration
+}
diff --git a/web/app/components/plugins/update-plugin/from-github.tsx b/web/app/components/plugins/update-plugin/from-github.tsx
new file mode 100644
index 0000000000..9bc2f2ad3e
--- /dev/null
+++ b/web/app/components/plugins/update-plugin/from-github.tsx
@@ -0,0 +1,26 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { UpdateFromGitHubPayload } from '../types'
+import InstallFromGitHub from '../install-plugin/install-from-github'
+
+type Props = {
+  payload: UpdateFromGitHubPayload
+  onSave: () => void
+  onCancel: () => void
+}
+
+const FromGitHub: FC<Props> = ({
+  payload,
+  onSave,
+  onCancel,
+}) => {
+  return (
+    <InstallFromGitHub
+      updatePayload={payload}
+      onClose={onCancel}
+      onSuccess={onSave}
+    />
+  )
+}
+export default React.memo(FromGitHub)
diff --git a/web/app/components/plugins/update-plugin/from-market-place.tsx b/web/app/components/plugins/update-plugin/from-market-place.tsx
new file mode 100644
index 0000000000..916f61f478
--- /dev/null
+++ b/web/app/components/plugins/update-plugin/from-market-place.tsx
@@ -0,0 +1,164 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useEffect, useMemo, useState } from 'react'
+import { RiInformation2Line } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import Card from '@/app/components/plugins/card'
+import Modal from '@/app/components/base/modal'
+import Button from '@/app/components/base/button'
+import Badge, { BadgeState } from '@/app/components/base/badge/index'
+import { TaskStatus, type UpdateFromMarketPlacePayload } from '../types'
+import { pluginManifestToCardPluginProps } from '@/app/components/plugins/install-plugin/utils'
+import useGetIcon from '../install-plugin/base/use-get-icon'
+import { updateFromMarketPlace } from '@/service/plugins'
+import checkTaskStatus from '@/app/components/plugins/install-plugin/base/check-task-status'
+import { usePluginTaskList } from '@/service/use-plugins'
+import Toast from '../../base/toast'
+
+const i18nPrefix = 'plugin.upgrade'
+
+type Props = {
+  payload: UpdateFromMarketPlacePayload
+  onSave: () => void
+  onCancel: () => void
+}
+
+enum UploadStep {
+  notStarted = 'notStarted',
+  upgrading = 'upgrading',
+  installed = 'installed',
+}
+
+const UpdatePluginModal: FC<Props> = ({
+  payload,
+  onSave,
+  onCancel,
+}) => {
+  const {
+    originalPackageInfo,
+    targetPackageInfo,
+  } = payload
+  const { t } = useTranslation()
+  const { getIconUrl } = useGetIcon()
+  const [icon, setIcon] = useState<string>(originalPackageInfo.payload.icon)
+  useEffect(() => {
+    (async () => {
+      const icon = await getIconUrl(originalPackageInfo.payload.icon)
+      setIcon(icon)
+    })()
+  }, [originalPackageInfo, getIconUrl])
+  const {
+    check,
+    stop,
+  } = checkTaskStatus()
+  const handleCancel = () => {
+    stop()
+    onCancel()
+  }
+
+  const [uploadStep, setUploadStep] = useState<UploadStep>(UploadStep.notStarted)
+  const { handleRefetch } = usePluginTaskList(payload.category)
+
+  const configBtnText = useMemo(() => {
+    return ({
+      [UploadStep.notStarted]: t(`${i18nPrefix}.upgrade`),
+      [UploadStep.upgrading]: t(`${i18nPrefix}.upgrading`),
+      [UploadStep.installed]: t(`${i18nPrefix}.close`),
+    })[uploadStep]
+  }, [t, uploadStep])
+
+  const handleConfirm = useCallback(async () => {
+    if (uploadStep === UploadStep.notStarted) {
+      setUploadStep(UploadStep.upgrading)
+      try {
+        const {
+          all_installed: isInstalled,
+          task_id: taskId,
+        } = await updateFromMarketPlace({
+          original_plugin_unique_identifier: originalPackageInfo.id,
+          new_plugin_unique_identifier: targetPackageInfo.id,
+        })
+
+        if (isInstalled) {
+          onSave()
+          return
+        }
+        handleRefetch()
+        const { status, error } = await check({
+          taskId,
+          pluginUniqueIdentifier: targetPackageInfo.id,
+        })
+        if (status === TaskStatus.failed) {
+          Toast.notify({ type: 'error', message: error! })
+          return
+        }
+        onSave()
+      }
+      // eslint-disable-next-line unused-imports/no-unused-vars
+      catch (e) {
+        setUploadStep(UploadStep.notStarted)
+      }
+      return
+    }
+    if (uploadStep === UploadStep.installed)
+      onSave()
+  }, [onSave, uploadStep, check, originalPackageInfo.id, handleRefetch, targetPackageInfo.id])
+  const usedInAppInfo = useMemo(() => {
+    return (
+      <div className='flex px-0.5 justify-center items-center gap-0.5'>
+        <div className='text-text-warning system-xs-medium'>{t(`${i18nPrefix}.usedInApps`, { num: 3 })}</div>
+        {/* show the used apps */}
+        <RiInformation2Line className='w-4 h-4 text-text-tertiary' />
+      </div>
+    )
+  }, [t])
+  return (
+    <Modal
+      isShow={true}
+      onClose={onCancel}
+      className='min-w-[560px]'
+      closable
+      title={t(`${i18nPrefix}.${uploadStep === UploadStep.installed ? 'successfulTitle' : 'title'}`)}
+    >
+      <div className='mt-3 mb-2 text-text-secondary system-md-regular'>
+        {t(`${i18nPrefix}.description`)}
+      </div>
+      <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'>
+        <Card
+          installed={uploadStep === UploadStep.installed}
+          payload={pluginManifestToCardPluginProps({
+            ...originalPackageInfo.payload,
+            icon: icon!,
+          })}
+          className='w-full'
+          titleLeft={
+            <>
+              <Badge className='mx-1' size="s" state={BadgeState.Warning}>
+                {`${originalPackageInfo.payload.version} -> ${targetPackageInfo.version}`}
+              </Badge>
+              {false && usedInAppInfo}
+            </>
+          }
+        />
+      </div>
+      <div className='flex pt-5 justify-end items-center gap-2 self-stretch'>
+        {uploadStep === UploadStep.notStarted && (
+          <Button
+            onClick={handleCancel}
+          >
+            {t('common.operation.cancel')}
+          </Button>
+        )}
+        <Button
+          variant='primary'
+          loading={uploadStep === UploadStep.upgrading}
+          onClick={handleConfirm}
+          disabled={uploadStep === UploadStep.upgrading}
+        >
+          {configBtnText}
+        </Button>
+      </div>
+    </Modal>
+  )
+}
+export default React.memo(UpdatePluginModal)
diff --git a/web/app/components/plugins/update-plugin/index.tsx b/web/app/components/plugins/update-plugin/index.tsx
new file mode 100644
index 0000000000..f9b49a6073
--- /dev/null
+++ b/web/app/components/plugins/update-plugin/index.tsx
@@ -0,0 +1,33 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { UpdatePluginModalType } from '../types'
+import { PluginSource } from '../types'
+import UpdateFromGitHub from './from-github'
+import UpdateFromMarketplace from './from-market-place'
+
+const UpdatePlugin: FC<UpdatePluginModalType> = ({
+  type,
+  marketPlace,
+  github,
+  onCancel,
+  onSave,
+}) => {
+  if (type === PluginSource.github) {
+    return (
+      <UpdateFromGitHub
+        payload={github!}
+        onSave={onSave}
+        onCancel={onCancel}
+      />
+    )
+  }
+  return (
+    <UpdateFromMarketplace
+      payload={marketPlace!}
+      onSave={onSave}
+      onCancel={onCancel}
+    />
+  )
+}
+export default React.memo(UpdatePlugin)
diff --git a/web/app/components/plugins/update-plugin/plugin-version-picker.tsx b/web/app/components/plugins/update-plugin/plugin-version-picker.tsx
new file mode 100644
index 0000000000..b05ddc0062
--- /dev/null
+++ b/web/app/components/plugins/update-plugin/plugin-version-picker.tsx
@@ -0,0 +1,118 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback } from 'react'
+import { useTranslation } from 'react-i18next'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Badge from '@/app/components/base/badge'
+import type {
+  OffsetOptions,
+  Placement,
+} from '@floating-ui/react'
+import { useVersionListOfPlugin } from '@/service/use-plugins'
+import useTimestamp from '@/hooks/use-timestamp'
+import cn from '@/utils/classnames'
+
+type Props = {
+  disabled?: boolean
+  isShow: boolean
+  onShowChange: (isShow: boolean) => void
+  pluginID: string
+  currentVersion: string
+  trigger: React.ReactNode
+  placement?: Placement
+  offset?: OffsetOptions
+  onSelect: ({
+    version,
+    unique_identifier,
+  }: {
+    version: string
+    unique_identifier: string
+  }) => void
+}
+
+const PluginVersionPicker: FC<Props> = ({
+  disabled = false,
+  isShow,
+  onShowChange,
+  pluginID,
+  currentVersion,
+  trigger,
+  placement = 'bottom-start',
+  offset = {
+    mainAxis: 4,
+    crossAxis: -16,
+  },
+  onSelect,
+}) => {
+  const { t } = useTranslation()
+  const format = t('appLog.dateTimeFormat').split(' ')[0]
+  const { formatDate } = useTimestamp()
+
+  const handleTriggerClick = () => {
+    if (disabled) return
+    onShowChange(true)
+  }
+
+  const { data: res } = useVersionListOfPlugin(pluginID)
+
+  const handleSelect = useCallback(({ version, unique_identifier }: {
+    version: string
+    unique_identifier: string
+  }) => {
+    if (currentVersion === version)
+      return
+    onSelect({ version, unique_identifier })
+    onShowChange(false)
+  }, [currentVersion, onSelect, onShowChange])
+
+  return (
+    <PortalToFollowElem
+      placement={placement}
+      offset={offset}
+      open={isShow}
+      onOpenChange={onShowChange}
+    >
+      <PortalToFollowElemTrigger
+        className={cn('inline-flex items-center cursor-pointer', disabled && 'cursor-default')}
+        onClick={handleTriggerClick}
+      >
+        {trigger}
+      </PortalToFollowElemTrigger>
+
+      <PortalToFollowElemContent className='z-[1000]'>
+        <div className="relative w-[209px] p-1 rounded-xl bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg">
+          <div className='px-3 pt-1 pb-0.5 text-text-tertiary system-xs-medium-uppercase'>
+            {t('plugin.detailPanel.switchVersion')}
+          </div>
+          <div className='relative'>
+            {res?.data.versions.map(version => (
+              <div
+                key={version.unique_identifier}
+                className={cn(
+                  'h-7 px-3 py-1 flex items-center gap-1 rounded-lg hover:bg-state-base-hover cursor-pointer',
+                  currentVersion === version.version && 'opacity-30 cursor-default hover:bg-transparent',
+                )}
+                onClick={() => handleSelect({
+                  version: version.version,
+                  unique_identifier: version.unique_identifier,
+                })}
+              >
+                <div className='grow flex items-center'>
+                  <div className='text-text-secondary system-sm-medium'>{version.version}</div>
+                  {currentVersion === version.version && <Badge className='ml-1' text='CURRENT'/>}
+                </div>
+                <div className='shrink-0 text-text-tertiary system-xs-regular'>{formatDate(version.created_at, format)}</div>
+              </div>
+            ))}
+          </div>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default React.memo(PluginVersionPicker)
diff --git a/web/app/components/plugins/utils.ts b/web/app/components/plugins/utils.ts
new file mode 100644
index 0000000000..95f6d716d9
--- /dev/null
+++ b/web/app/components/plugins/utils.ts
@@ -0,0 +1,12 @@
+import {
+  categoryKeys,
+  tagKeys,
+} from './constants'
+
+export const getValidTagKeys = (tags: string[]) => {
+  return tags.filter(tag => tagKeys.includes(tag))
+}
+
+export const getValidCategoryKeys = (category?: string) => {
+  return categoryKeys.find(key => key === category)
+}
diff --git a/web/app/components/share/text-generation/index.tsx b/web/app/components/share/text-generation/index.tsx
index c54601aa7c..872e4414c1 100644
--- a/web/app/components/share/text-generation/index.tsx
+++ b/web/app/components/share/text-generation/index.tsx
@@ -137,9 +137,11 @@ const TextGeneration: FC<IMainProps> = ({
   const handleSend = () => {
     setIsCallBatchAPI(false)
     setControlSend(Date.now())
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+
+    // eslint-disable-next-line ts/no-use-before-define
     setAllTaskList([]) // clear batch task running status
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+
+    // eslint-disable-next-line ts/no-use-before-define
     showResSidebar()
   }
 
@@ -319,7 +321,8 @@ const TextGeneration: FC<IMainProps> = ({
     setControlSend(Date.now())
     // clear run once task status
     setControlStopResponding(Date.now())
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+
+    // eslint-disable-next-line ts/no-use-before-define
     showResSidebar()
   }
   const handleCompleted = (completionRes: string, taskId?: number, isSuccess?: boolean) => {
diff --git a/web/app/components/share/text-generation/result/index.tsx b/web/app/components/share/text-generation/result/index.tsx
index cd4ed5d287..6d5c63273a 100644
--- a/web/app/components/share/text-generation/result/index.tsx
+++ b/web/app/components/share/text-generation/result/index.tsx
@@ -24,7 +24,7 @@ import {
   getFilesInLogs,
 } from '@/app/components/base/file-uploader/utils'
 
-export type IResultProps = {
+export interface IResultProps {
   isWorkflow: boolean
   isCallBatchAPI: boolean
   isPC: boolean
diff --git a/web/app/components/swr-initor.tsx b/web/app/components/swr-initor.tsx
index 2a119df996..a2ae003139 100644
--- a/web/app/components/swr-initor.tsx
+++ b/web/app/components/swr-initor.tsx
@@ -6,7 +6,7 @@ import type { ReactNode } from 'react'
 import { usePathname, useRouter, useSearchParams } from 'next/navigation'
 import { fetchSetupStatus } from '@/service/common'
 
-type SwrInitorProps = {
+interface SwrInitorProps {
   children: ReactNode
 }
 const SwrInitor = ({
diff --git a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx
index 4b24bcb931..4b5b0560f9 100644
--- a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx
+++ b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx
@@ -5,6 +5,7 @@ import { useTranslation } from 'react-i18next'
 import Tooltip from '@/app/components/base/tooltip'
 import cn from '@/utils/classnames'
 import type { Credential } from '@/app/components/tools/types'
+import Input from '@/app/components/base/input'
 import Drawer from '@/app/components/base/drawer-plus'
 import Button from '@/app/components/base/button'
 import Radio from '@/app/components/base/radio/ui'
@@ -16,7 +17,6 @@ type Props = {
   onChange: (credential: Credential) => void
   onHide: () => void
 }
-const keyClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900'
 
 type ItemProps = {
   text: string
@@ -28,11 +28,11 @@ type ItemProps = {
 const SelectItem: FC<ItemProps> = ({ text, value, isChecked, onClick }) => {
   return (
     <div
-      className={cn(isChecked ? 'border-[2px] border-indigo-600 shadow-sm bg-white' : 'border border-gray-100', 'mb-2 flex items-center h-9 pl-3 w-[150px] rounded-xl bg-gray-25 hover:bg-gray-50 cursor-pointer space-x-2')}
+      className={cn(isChecked ? 'border-[2px] border-util-colors-indigo-indigo-600 shadow-sm bg-components-panel-on-panel-item-bg' : 'border border-components-card-border', 'mb-2 flex items-center h-9 pl-3 w-[150px] rounded-xl bg-components-panel-on-panel-item-bg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer space-x-2')}
       onClick={() => onClick(value)}
     >
       <Radio isChecked={isChecked} />
-      <div className='text-sm font-normal text-gray-900'>{text}</div>
+      <div className='system-sm-regular text-text-primary'>{text}</div>
     </div>
   )
 }
@@ -55,12 +55,12 @@ const ConfigCredential: FC<Props> = ({
       panelClassName='mt-2 !w-[520px] h-fit'
       maxWidthClassName='!max-w-[520px]'
       height={'fit-content'}
-      headerClassName='!border-b-black/5'
+      headerClassName='!border-b-divider-regular'
       body={
         <div className='pt-2 px-6'>
           <div className='space-y-4'>
             <div>
-              <div className={keyClassNames}>{t('tools.createTool.authMethod.type')}</div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.type')}</div>
               <div className='flex space-x-3'>
                 <SelectItem
                   text={t('tools.createTool.authMethod.types.none')}
@@ -84,52 +84,52 @@ const ConfigCredential: FC<Props> = ({
             </div>
             {tempCredential.auth_type === AuthType.apiKey && (
               <>
-                <div className={keyClassNames}>{t('tools.createTool.authHeaderPrefix.title')}</div>
-                <div className='flex space-x-3'>
-                  <SelectItem
-                    text={t('tools.createTool.authHeaderPrefix.types.basic')}
-                    value={AuthHeaderPrefix.basic}
-                    isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.basic}
-                    onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
-                  />
-                  <SelectItem
-                    text={t('tools.createTool.authHeaderPrefix.types.bearer')}
-                    value={AuthHeaderPrefix.bearer}
-                    isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.bearer}
-                    onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
-                  />
-                  <SelectItem
-                    text={t('tools.createTool.authHeaderPrefix.types.custom')}
-                    value={AuthHeaderPrefix.custom}
-                    isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.custom}
-                    onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
-                  />
+                <div>
+                  <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authHeaderPrefix.title')}</div>
+                  <div className='flex space-x-3'>
+                    <SelectItem
+                      text={t('tools.createTool.authHeaderPrefix.types.basic')}
+                      value={AuthHeaderPrefix.basic}
+                      isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.basic}
+                      onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
+                    />
+                    <SelectItem
+                      text={t('tools.createTool.authHeaderPrefix.types.bearer')}
+                      value={AuthHeaderPrefix.bearer}
+                      isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.bearer}
+                      onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
+                    />
+                    <SelectItem
+                      text={t('tools.createTool.authHeaderPrefix.types.custom')}
+                      value={AuthHeaderPrefix.custom}
+                      isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.custom}
+                      onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })}
+                    />
+                  </div>
                 </div>
                 <div>
-                  <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'>
+                  <div className='flex items-center py-2 system-sm-medium text-text-primary'>
                     {t('tools.createTool.authMethod.key')}
                     <Tooltip
                       popupContent={
-                        <div className='w-[261px] text-gray-500'>
+                        <div className='w-[261px] text-text-tertiary'>
                           {t('tools.createTool.authMethod.keyTooltip')}
                         </div>
                       }
                       triggerClassName='ml-0.5 w-4 h-4'
                     />
                   </div>
-                  <input
+                  <Input
                     value={tempCredential.api_key_header}
                     onChange={e => setTempCredential({ ...tempCredential, api_key_header: e.target.value })}
-                    className='w-full h-10 px-3 text-sm font-normal  border border-transparent bg-gray-100 rounded-lg grow outline-none focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs'
                     placeholder={t('tools.createTool.authMethod.types.apiKeyPlaceholder')!}
                   />
                 </div>
                 <div>
-                  <div className={keyClassNames}>{t('tools.createTool.authMethod.value')}</div>
-                  <input
+                  <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.value')}</div>
+                  <Input
                     value={tempCredential.api_key_value}
                     onChange={e => setTempCredential({ ...tempCredential, api_key_value: e.target.value })}
-                    className='w-full h-10 px-3 text-sm font-normal  border border-transparent bg-gray-100 rounded-lg grow outline-none focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs'
                     placeholder={t('tools.createTool.authMethod.types.apiValuePlaceholder')!}
                   />
                 </div>
diff --git a/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx b/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx
index 2552c67568..a43440bda4 100644
--- a/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx
+++ b/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx
@@ -10,6 +10,7 @@ import {
 import Toast from '../../base/toast'
 import examples from './examples'
 import Button from '@/app/components/base/button'
+import Input from '@/app/components/base/input'
 import { importSchemaFromURL } from '@/service/tools'
 
 type Props = {
@@ -63,14 +64,14 @@ const GetSchema: FC<Props> = ({
           onClick={() => { setShowImportFromUrl(!showImportFromUrl) }}
         >
           <RiAddLine className='w-3 h-3' />
-          <div className='text-xs font-medium text-gray-700'>{t('tools.createTool.importFromUrl')}</div>
+          <div className='system-xs-medium text-text-secondary'>{t('tools.createTool.importFromUrl')}</div>
         </Button>
         {showImportFromUrl && (
-          <div className=' absolute left-[-35px] top-[26px] p-2 rounded-lg border border-gray-200 bg-white shadow-lg'>
+          <div className=' absolute left-[-35px] top-[26px] p-2 rounded-lg border border-components-panel-border bg-components-panel-bg shadow-lg'>
             <div className='relative'>
-              <input
+              <Input
                 type='text'
-                className='w-[244px] h-8 pl-1.5 pr-[44px] overflow-x-auto border border-gray-200 rounded-lg text-[13px] focus:outline-none focus:border-components-input-border-active'
+                className='w-[244px]'
                 placeholder={t('tools.createTool.importFromUrlPlaceHolder')!}
                 value={importUrl}
                 onChange={e => setImportUrl(e.target.value)}
@@ -95,11 +96,11 @@ const GetSchema: FC<Props> = ({
           className='space-x-1'
           onClick={() => { setShowExamples(!showExamples) }}
         >
-          <div className='text-xs font-medium text-gray-700'>{t('tools.createTool.examples')}</div>
+          <div className='system-xs-medium text-text-secondary'>{t('tools.createTool.examples')}</div>
           <RiArrowDownSLine className='w-3 h-3' />
         </Button>
         {showExamples && (
-          <div className='absolute top-7 right-0 p-1 rounded-lg bg-white shadow-sm'>
+          <div className='absolute top-7 right-0 p-1 rounded-lg bg-components-panel-bg shadow-sm'>
             {examples.map(item => (
               <div
                 key={item.key}
@@ -107,7 +108,7 @@ const GetSchema: FC<Props> = ({
                   onChange(item.content)
                   setShowExamples(false)
                 }}
-                className='px-3 py-1.5 rounded-lg hover:bg-gray-50 leading-5 text-sm font-normal text-gray-700 cursor-pointer whitespace-nowrap'
+                className='px-3 py-1.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover leading-5 system-sm-regular text-text-secondary cursor-pointer whitespace-nowrap'
               >
                 {t(`tools.createTool.exampleOptions.${item.key}`)}
               </div>
diff --git a/web/app/components/tools/edit-custom-collection-modal/index.tsx b/web/app/components/tools/edit-custom-collection-modal/index.tsx
index 555fd0dd08..786d3a4625 100644
--- a/web/app/components/tools/edit-custom-collection-modal/index.tsx
+++ b/web/app/components/tools/edit-custom-collection-modal/index.tsx
@@ -3,8 +3,9 @@ import type { FC } from 'react'
 import React, { useEffect, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useDebounce, useGetState } from 'ahooks'
+import { RiSettings2Line } from '@remixicon/react'
 import produce from 'immer'
-import { LinkExternal02, Settings01 } from '../../base/icons/src/vender/line/general'
+import { LinkExternal02 } from '../../base/icons/src/vender/line/general'
 import type { Credential, CustomCollectionBackend, CustomParamSchema, Emoji } from '../types'
 import { AuthHeaderPrefix, AuthType } from '../types'
 import GetSchema from './get-schema'
@@ -21,7 +22,6 @@ import { parseParamsSchema } from '@/service/tools'
 import LabelSelector from '@/app/components/tools/labels/selector'
 import Toast from '@/app/components/base/toast'
 
-const fieldNameClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900'
 type Props = {
   positionLeft?: boolean
   payload: any
@@ -189,12 +189,12 @@ const EditCustomCollectionModal: FC<Props> = ({
         panelClassName='mt-2 !w-[640px]'
         maxWidthClassName='!max-w-[640px]'
         height='calc(100vh - 16px)'
-        headerClassName='!border-b-black/5'
+        headerClassName='!border-b-divider-regular'
         body={
           <div className='flex flex-col h-full'>
             <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'>
               <div>
-                <div className={fieldNameClassNames}>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div>
                 <div className='flex items-center justify-between gap-3'>
                   <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.content} background={emoji.background} />
                   <Input
@@ -214,12 +214,12 @@ const EditCustomCollectionModal: FC<Props> = ({
               <div className='select-none'>
                 <div className='flex justify-between items-center'>
                   <div className='flex items-center'>
-                    <div className={fieldNameClassNames}>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div>
-                    <div className='mx-2 w-px h-3 bg-black/5'></div>
+                    <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div>
+                    <div className='mx-2 w-px h-3 bg-divider-regular'></div>
                     <a
                       href="https://swagger.io/specification/"
                       target='_blank' rel='noopener noreferrer'
-                      className='flex items-center h-[18px] space-x-1  text-[#155EEF]'
+                      className='flex items-center h-[18px] space-x-1  text-text-accent'
                     >
                       <div className='text-xs font-normal'>{t('tools.createTool.viewSchemaSpec')}</div>
                       <LinkExternal02 className='w-3 h-3' />
@@ -238,11 +238,11 @@ const EditCustomCollectionModal: FC<Props> = ({
 
               {/* Available Tools  */}
               <div>
-                <div className={fieldNameClassNames}>{t('tools.createTool.availableTools.title')}</div>
-                <div className='rounded-lg border border-gray-200 w-full overflow-x-auto'>
-                  <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'>
-                    <thead className='text-gray-500 uppercase'>
-                      <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-gray-200')}>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.availableTools.title')}</div>
+                <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'>
+                  <table className='w-full system-xs-regular text-text-secondary'>
+                    <thead className='text-text-tertiary uppercase'>
+                      <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-divider-regular')}>
                         <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.name')}</th>
                         <th className="p-2 pl-3 font-medium w-[236px]">{t('tools.createTool.availableTools.description')}</th>
                         <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.method')}</th>
@@ -252,9 +252,9 @@ const EditCustomCollectionModal: FC<Props> = ({
                     </thead>
                     <tbody>
                       {paramsSchemas.map((item, index) => (
-                        <tr key={index} className='border-b last:border-0 border-gray-200'>
+                        <tr key={index} className='border-b last:border-0 border-divider-regular'>
                           <td className="p-2 pl-3">{item.operation_id}</td>
-                          <td className="p-2 pl-3 text-gray-500 w-[236px]">{item.summary}</td>
+                          <td className="p-2 pl-3 w-[236px]">{item.summary}</td>
                           <td className="p-2 pl-3">{item.method}</td>
                           <td className="p-2 pl-3">{getPath(item.server_url)}</td>
                           <td className="p-2 pl-3 w-[62px]">
@@ -277,22 +277,22 @@ const EditCustomCollectionModal: FC<Props> = ({
 
               {/* Authorization method */}
               <div>
-                <div className={fieldNameClassNames}>{t('tools.createTool.authMethod.title')}</div>
-                <div className='flex items-center h-9 justify-between px-2.5 bg-gray-100 rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}>
-                  <div className='text-sm font-normal text-gray-900'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div>
-                  <Settings01 className='w-4 h-4 text-gray-700 opacity-60' />
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div>
+                <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}>
+                  <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div>
+                  <RiSettings2Line className='w-4 h-4 text-text-secondary' />
                 </div>
               </div>
 
               {/* Labels */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.label')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div>
                 <LabelSelector value={labels} onChange={handleLabelSelect} />
               </div>
 
               {/* Privacy Policy */}
               <div>
-                <div className={fieldNameClassNames}>{t('tools.createTool.privacyPolicy')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div>
                 <Input
                   value={customCollection.privacy_policy}
                   onChange={(e) => {
@@ -305,7 +305,7 @@ const EditCustomCollectionModal: FC<Props> = ({
               </div>
 
               <div>
-                <div className={fieldNameClassNames}>{t('tools.createTool.customDisclaimer')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.customDisclaimer')}</div>
                 <Input
                   value={customCollection.custom_disclaimer}
                   onChange={(e) => {
@@ -318,10 +318,10 @@ const EditCustomCollectionModal: FC<Props> = ({
               </div>
 
             </div>
-            <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-gray-50 border-t border-black/5')} >
+            <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} >
               {
                 isEdit && (
-                  <Button onClick={onRemove} className='text-red-500 border-red-50 hover:border-red-500'>{t('common.operation.delete')}</Button>
+                  <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button>
                 )
               }
               <div className='flex space-x-2 '>
diff --git a/web/app/components/tools/edit-custom-collection-modal/modal.tsx b/web/app/components/tools/edit-custom-collection-modal/modal.tsx
new file mode 100644
index 0000000000..0b4447850c
--- /dev/null
+++ b/web/app/components/tools/edit-custom-collection-modal/modal.tsx
@@ -0,0 +1,360 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useDebounce, useGetState } from 'ahooks'
+import produce from 'immer'
+import { LinkExternal02, Settings01 } from '../../base/icons/src/vender/line/general'
+import type { Credential, CustomCollectionBackend, CustomParamSchema, Emoji } from '../types'
+import { AuthHeaderPrefix, AuthType } from '../types'
+import GetSchema from './get-schema'
+import ConfigCredentials from './config-credentials'
+import TestApi from './test-api'
+import cn from '@/utils/classnames'
+import Input from '@/app/components/base/input'
+import Textarea from '@/app/components/base/textarea'
+import EmojiPicker from '@/app/components/base/emoji-picker'
+import AppIcon from '@/app/components/base/app-icon'
+import { parseParamsSchema } from '@/service/tools'
+import LabelSelector from '@/app/components/tools/labels/selector'
+import Toast from '@/app/components/base/toast'
+import Modal from '../../base/modal'
+import Button from '@/app/components/base/button'
+
+type Props = {
+  positionLeft?: boolean
+  payload: any
+  onHide: () => void
+  onAdd?: (payload: CustomCollectionBackend) => void
+  onRemove?: () => void
+  onEdit?: (payload: CustomCollectionBackend) => void
+}
+// Add and Edit
+const EditCustomCollectionModal: FC<Props> = ({
+  payload,
+  onHide,
+  onAdd,
+  onEdit,
+  onRemove,
+}) => {
+  const { t } = useTranslation()
+  const isAdd = !payload
+  const isEdit = !!payload
+
+  const [editFirst, setEditFirst] = useState(!isAdd)
+  const [paramsSchemas, setParamsSchemas] = useState<CustomParamSchema[]>(payload?.tools || [])
+  const [customCollection, setCustomCollection, getCustomCollection] = useGetState<CustomCollectionBackend>(isAdd
+    ? {
+      provider: '',
+      credentials: {
+        auth_type: AuthType.none,
+        api_key_header: 'Authorization',
+        api_key_header_prefix: AuthHeaderPrefix.basic,
+      },
+      icon: {
+        content: '🕵️',
+        background: '#FEF7C3',
+      },
+      schema_type: '',
+      schema: '',
+    }
+    : payload)
+
+  const originalProvider = isEdit ? payload.provider : ''
+
+  const [showEmojiPicker, setShowEmojiPicker] = useState(false)
+  const emoji = customCollection.icon
+  const setEmoji = (emoji: Emoji) => {
+    const newCollection = produce(customCollection, (draft) => {
+      draft.icon = emoji
+    })
+    setCustomCollection(newCollection)
+  }
+  const schema = customCollection.schema
+  const debouncedSchema = useDebounce(schema, { wait: 500 })
+  const setSchema = (schema: any) => {
+    const newCollection = produce(customCollection, (draft) => {
+      draft.schema = schema
+    })
+    setCustomCollection(newCollection)
+  }
+
+  useEffect(() => {
+    if (!debouncedSchema)
+      return
+    if (isEdit && editFirst) {
+      setEditFirst(false)
+      return
+    }
+    (async () => {
+      try {
+        const { parameters_schema, schema_type } = await parseParamsSchema(debouncedSchema)
+        const customCollection = getCustomCollection()
+        const newCollection = produce(customCollection, (draft) => {
+          draft.schema_type = schema_type
+        })
+        setCustomCollection(newCollection)
+        setParamsSchemas(parameters_schema)
+      }
+      catch (e) {
+        const customCollection = getCustomCollection()
+        const newCollection = produce(customCollection, (draft) => {
+          draft.schema_type = ''
+        })
+        setCustomCollection(newCollection)
+        setParamsSchemas([])
+      }
+    })()
+  }, [debouncedSchema])
+
+  const [credentialsModalShow, setCredentialsModalShow] = useState(false)
+  const credential = customCollection.credentials
+  const setCredential = (credential: Credential) => {
+    const newCollection = produce(customCollection, (draft) => {
+      draft.credentials = credential
+    })
+    setCustomCollection(newCollection)
+  }
+
+  const [currTool, setCurrTool] = useState<CustomParamSchema | null>(null)
+  const [isShowTestApi, setIsShowTestApi] = useState(false)
+
+  const [labels, setLabels] = useState<string[]>(payload?.labels || [])
+  const handleLabelSelect = (value: string[]) => {
+    setLabels(value)
+  }
+
+  const handleSave = () => {
+    // const postData = clone(customCollection)
+    const postData = produce(customCollection, (draft) => {
+      delete draft.tools
+
+      if (draft.credentials.auth_type === AuthType.none) {
+        delete draft.credentials.api_key_header
+        delete draft.credentials.api_key_header_prefix
+        delete draft.credentials.api_key_value
+      }
+
+      draft.labels = labels
+    })
+
+    let errorMessage = ''
+    if (!postData.provider)
+      errorMessage = t('common.errorMsg.fieldRequired', { field: t('tools.createTool.name') })
+
+    if (!postData.schema)
+      errorMessage = t('common.errorMsg.fieldRequired', { field: t('tools.createTool.schema') })
+
+    if (errorMessage) {
+      Toast.notify({
+        type: 'error',
+        message: errorMessage,
+      })
+      return
+    }
+
+    if (isAdd) {
+      onAdd?.(postData)
+      return
+    }
+
+    onEdit?.({
+      ...postData,
+      original_provider: originalProvider,
+    })
+  }
+
+  const getPath = (url: string) => {
+    if (!url)
+      return ''
+
+    try {
+      const path = decodeURI(new URL(url).pathname)
+      return path || ''
+    }
+    catch (e) {
+      return url
+    }
+  }
+
+  return (
+    <>
+      <Modal
+        isShow
+        onClose={onHide}
+        closable
+        className='!p-0 !max-w-[630px] !h-[calc(100vh-16px)]'
+      >
+        <div className='flex flex-col h-full'>
+          <div className='ml-6 mt-6 text-base font-semibold text-text-primary'>
+            {t('tools.createTool.title')}
+          </div>
+          <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'>
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div>
+              <div className='flex items-center justify-between gap-3'>
+                <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.content} background={emoji.background} />
+                <Input
+                  className='h-10 grow' placeholder={t('tools.createTool.toolNamePlaceHolder')!}
+                  value={customCollection.provider}
+                  onChange={(e) => {
+                    const newCollection = produce(customCollection, (draft) => {
+                      draft.provider = e.target.value
+                    })
+                    setCustomCollection(newCollection)
+                  }}
+                />
+              </div>
+            </div>
+
+            {/* Schema */}
+            <div className='select-none'>
+              <div className='flex justify-between items-center'>
+                <div className='flex items-center'>
+                  <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div>
+                  <div className='mx-2 w-px h-3 bg-divider-regular'></div>
+                  <a
+                    href="https://swagger.io/specification/"
+                    target='_blank' rel='noopener noreferrer'
+                    className='flex items-center h-[18px] space-x-1  text-text-accent'
+                  >
+                    <div className='text-xs font-normal'>{t('tools.createTool.viewSchemaSpec')}</div>
+                    <LinkExternal02 className='w-3 h-3' />
+                  </a>
+                </div>
+                <GetSchema onChange={setSchema} />
+
+              </div>
+              <Textarea
+                className='h-[240px] resize-none'
+                value={schema}
+                onChange={e => setSchema(e.target.value)}
+                placeholder={t('tools.createTool.schemaPlaceHolder')!}
+              />
+            </div>
+
+            {/* Available Tools  */}
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.availableTools.title')}</div>
+              <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'>
+                <table className='w-full system-xs-regular text-text-secondary'>
+                  <thead className='text-text-tertiary uppercase'>
+                    <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-divider-regular')}>
+                      <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.name')}</th>
+                      <th className="p-2 pl-3 font-medium w-[236px]">{t('tools.createTool.availableTools.description')}</th>
+                      <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.method')}</th>
+                      <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.path')}</th>
+                      <th className="p-2 pl-3 font-medium w-[54px]">{t('tools.createTool.availableTools.action')}</th>
+                    </tr>
+                  </thead>
+                  <tbody>
+                    {paramsSchemas.map((item, index) => (
+                      <tr key={index} className='border-b last:border-0 border-divider-regular'>
+                        <td className="p-2 pl-3">{item.operation_id}</td>
+                        <td className="p-2 pl-3 w-[236px]">{item.summary}</td>
+                        <td className="p-2 pl-3">{item.method}</td>
+                        <td className="p-2 pl-3">{getPath(item.server_url)}</td>
+                        <td className="p-2 pl-3 w-[62px]">
+                          <Button
+                            size='small'
+                            onClick={() => {
+                              setCurrTool(item)
+                              setIsShowTestApi(true)
+                            }}
+                          >
+                            {t('tools.createTool.availableTools.test')}
+                          </Button>
+                        </td>
+                      </tr>
+                    ))}
+                  </tbody>
+                </table>
+              </div>
+            </div>
+
+            {/* Authorization method */}
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div>
+              <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}>
+                <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div>
+                <Settings01 className='w-4 h-4 text-text-secondary' />
+              </div>
+            </div>
+
+            {/* Labels */}
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div>
+              <LabelSelector value={labels} onChange={handleLabelSelect} />
+            </div>
+
+            {/* Privacy Policy */}
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div>
+              <Input
+                value={customCollection.privacy_policy}
+                onChange={(e) => {
+                  const newCollection = produce(customCollection, (draft) => {
+                    draft.privacy_policy = e.target.value
+                  })
+                  setCustomCollection(newCollection)
+                }}
+                className='h-10 grow' placeholder={t('tools.createTool.privacyPolicyPlaceholder') || ''} />
+            </div>
+
+            <div>
+              <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.customDisclaimer')}</div>
+              <Input
+                value={customCollection.custom_disclaimer}
+                onChange={(e) => {
+                  const newCollection = produce(customCollection, (draft) => {
+                    draft.custom_disclaimer = e.target.value
+                  })
+                  setCustomCollection(newCollection)
+                }}
+                className='h-10 grow' placeholder={t('tools.createTool.customDisclaimerPlaceholder') || ''} />
+            </div>
+
+          </div>
+          <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} >
+            {
+              isEdit && (
+                <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button>
+              )
+            }
+            <div className='flex space-x-2 '>
+              <Button onClick={onHide}>{t('common.operation.cancel')}</Button>
+              <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button>
+            </div>
+          </div>
+          {showEmojiPicker && <EmojiPicker
+            onSelect={(icon, icon_background) => {
+              setEmoji({ content: icon, background: icon_background })
+              setShowEmojiPicker(false)
+            }}
+            onClose={() => {
+              setShowEmojiPicker(false)
+            }}
+          />}
+          {credentialsModalShow && (
+            <ConfigCredentials
+              positionCenter={isAdd}
+              credential={credential}
+              onChange={setCredential}
+              onHide={() => setCredentialsModalShow(false)}
+            />)
+          }
+          {isShowTestApi && (
+            <TestApi
+              positionCenter={isAdd}
+              tool={currTool as CustomParamSchema}
+              customCollection={customCollection}
+              onHide={() => setIsShowTestApi(false)}
+            />
+          )}
+        </div>
+      </Modal>
+    </>
+
+  )
+}
+export default React.memo(EditCustomCollectionModal)
diff --git a/web/app/components/tools/edit-custom-collection-modal/test-api.tsx b/web/app/components/tools/edit-custom-collection-modal/test-api.tsx
index 80a08d07a9..3172110bf6 100644
--- a/web/app/components/tools/edit-custom-collection-modal/test-api.tsx
+++ b/web/app/components/tools/edit-custom-collection-modal/test-api.tsx
@@ -3,10 +3,11 @@ import type { FC } from 'react'
 import React, { useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
-import { Settings01 } from '../../base/icons/src/vender/line/general'
+import { RiSettings2Line } from '@remixicon/react'
 import ConfigCredentials from './config-credentials'
 import { AuthType, type Credential, type CustomCollectionBackend, type CustomParamSchema } from '@/app/components/tools/types'
 import Button from '@/app/components/base/button'
+import Input from '@/app/components/base/input'
 import Drawer from '@/app/components/base/drawer-plus'
 import I18n from '@/context/i18n'
 import { testAPIAvailable } from '@/service/tools'
@@ -19,8 +20,6 @@ type Props = {
   onHide: () => void
 }
 
-const keyClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900'
-
 const TestApi: FC<Props> = ({
   positionCenter,
   customCollection,
@@ -65,39 +64,40 @@ const TestApi: FC<Props> = ({
         panelClassName='mt-2 !w-[600px]'
         maxWidthClassName='!max-w-[600px]'
         height='calc(100vh - 16px)'
-        headerClassName='!border-b-black/5'
+        headerClassName='!border-b-divider-regular'
         body={
           <div className='pt-2 px-6 overflow-y-auto'>
             <div className='space-y-4'>
               <div>
-                <div className={keyClassNames}>{t('tools.createTool.authMethod.title')}</div>
-                <div className='flex items-center h-9 justify-between px-2.5 bg-gray-100 rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}>
-                  <div className='text-sm font-normal text-gray-900'>{t(`tools.createTool.authMethod.types.${tempCredential.auth_type}`)}</div>
-                  <Settings01 className='w-4 h-4 text-gray-700 opacity-60' />
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div>
+                <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}>
+                  <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${tempCredential.auth_type}`)}</div>
+                  <RiSettings2Line className='w-4 h-4 text-text-secondary' />
                 </div>
               </div>
 
               <div>
-                <div className={keyClassNames}>{t('tools.test.parametersValue')}</div>
-                <div className='rounded-lg border border-gray-200'>
-                  <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'>
-                    <thead className='text-gray-500 uppercase'>
-                      <tr className='border-b border-gray-200'>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.test.parametersValue')}</div>
+                <div className='rounded-lg border border-divider-regular'>
+                  <table className='w-full system-xs-regular text-text-secondary font-normal'>
+                    <thead className='text-text-tertiary uppercase'>
+                      <tr className='border-b border-divider-regular'>
                         <th className="p-2 pl-3 font-medium">{t('tools.test.parameters')}</th>
                         <th className="p-2 pl-3 font-medium">{t('tools.test.value')}</th>
                       </tr>
                     </thead>
                     <tbody>
                       {parameters.map((item, index) => (
-                        <tr key={index} className='border-b last:border-0 border-gray-200'>
+                        <tr key={index} className='border-b last:border-0 border-divider-regular'>
                           <td className="py-2 pl-3 pr-2.5">
                             {item.label[language]}
                           </td>
                           <td className="">
-                            <input
+                            <Input
                               value={parametersValue[item.name] || ''}
                               onChange={e => setParametersValue({ ...parametersValue, [item.name]: e.target.value })}
-                              type='text' className='px-3 h-[34px] w-full outline-none focus:bg-gray-100' ></input>
+                              type='text'
+                              className='!bg-transparent !border-transparent !hover:border-transparent !hover:bg-transparent !focus:border-transparent !focus:bg-transparent' />
                           </td>
                         </tr>
                       ))}
@@ -110,11 +110,11 @@ const TestApi: FC<Props> = ({
             <Button variant='primary' className=' mt-4 w-full h-10' onClick={handleTest}>{t('tools.test.title')}</Button>
             <div className='mt-6'>
               <div className='flex items-center space-x-3'>
-                <div className='leading-[18px] text-xs font-semibold text-gray-500'>{t('tools.test.testResult')}</div>
+                <div className='system-xs-semibold text-text-tertiary'>{t('tools.test.testResult')}</div>
                 <div className='grow w-0 h-px bg-[rgb(243, 244, 246)]'></div>
               </div>
-              <div className='mt-2 px-3 py-2 h-[200px] overflow-y-auto overflow-x-hidden rounded-lg bg-gray-100 leading-4 text-xs font-normal text-gray-700'>
-                {result || <span className='text-gray-400'>{t('tools.test.testResultPlaceholder')}</span>}
+              <div className='mt-2 px-3 py-2 h-[200px] overflow-y-auto overflow-x-hidden rounded-lg bg-components-input-bg-normal system-xs-regular text-text-secondary'>
+                {result || <span className='text-text-quaternary'>{t('tools.test.testResultPlaceholder')}</span>}
               </div>
             </div>
           </div>
diff --git a/web/app/components/tools/labels/constant.ts b/web/app/components/tools/labels/constant.ts
index 3f073859d9..ad4836e6a8 100644
--- a/web/app/components/tools/labels/constant.ts
+++ b/web/app/components/tools/labels/constant.ts
@@ -1,6 +1,4 @@
-import type { TypeWithI18N } from '@/app/components/header/account-setting/model-provider-page/declarations'
 export type Label = {
   name: string
-  icon: string
-  label: TypeWithI18N
+  label: string
 }
diff --git a/web/app/components/tools/labels/filter.tsx b/web/app/components/tools/labels/filter.tsx
index 20db687e79..87e65b5b4e 100644
--- a/web/app/components/tools/labels/filter.tsx
+++ b/web/app/components/tools/labels/filter.tsx
@@ -1,10 +1,8 @@
 import type { FC } from 'react'
 import { useMemo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import { useContext } from 'use-context-selector'
-import { useDebounceFn, useMount } from 'ahooks'
+import { useDebounceFn } from 'ahooks'
 import { RiArrowDownSLine } from '@remixicon/react'
-import { useStore as useLabelStore } from './store'
 import cn from '@/utils/classnames'
 import {
   PortalToFollowElem,
@@ -16,9 +14,7 @@ import { Tag01, Tag03 } from '@/app/components/base/icons/src/vender/line/financ
 import { Check } from '@/app/components/base/icons/src/vender/line/general'
 import { XCircle } from '@/app/components/base/icons/src/vender/solid/general'
 import type { Label } from '@/app/components/tools/labels/constant'
-import { fetchLabelList } from '@/service/tools'
-import I18n from '@/context/i18n'
-import { getLanguage } from '@/i18n/language'
+import { useTags } from '@/app/components/plugins/hooks'
 
 type LabelFilterProps = {
   value: string[]
@@ -29,12 +25,9 @@ const LabelFilter: FC<LabelFilterProps> = ({
   onChange,
 }) => {
   const { t } = useTranslation()
-  const { locale } = useContext(I18n)
-  const language = getLanguage(locale)
   const [open, setOpen] = useState(false)
 
-  const labelList = useLabelStore(s => s.labelList)
-  const setLabelList = useLabelStore(s => s.setLabelList)
+  const { tags: labelList } = useTags()
 
   const [keywords, setKeywords] = useState('')
   const [searchKeywords, setSearchKeywords] = useState('')
@@ -61,12 +54,6 @@ const LabelFilter: FC<LabelFilterProps> = ({
       onChange([...value, label.name])
   }
 
-  useMount(() => {
-    fetchLabelList().then((res) => {
-      setLabelList(res)
-    })
-  })
-
   return (
     <PortalToFollowElem
       open={open}
@@ -80,24 +67,23 @@ const LabelFilter: FC<LabelFilterProps> = ({
           className='block'
         >
           <div className={cn(
-            'flex items-center gap-1 px-2 h-8 rounded-lg border-[0.5px] border-transparent bg-gray-200 cursor-pointer hover:bg-gray-300',
-            open && !value.length && '!bg-gray-300 hover:bg-gray-300',
-            !open && !!value.length && '!bg-white/80 shadow-xs !border-black/5 hover:!bg-gray-200',
-            open && !!value.length && '!bg-gray-200 !border-black/5 shadow-xs hover:!bg-gray-200',
+            'flex items-center gap-1 px-2 h-8 rounded-lg border-[0.5px] border-transparent bg-components-input-bg-normal cursor-pointer hover:bg-components-input-bg-hover',
+            !open && !!value.length && 'shadow-xs',
+            open && !!value.length && 'shadow-xs',
           )}>
             <div className='p-[1px]'>
-              <Tag01 className='h-3.5 w-3.5 text-gray-700' />
+              <Tag01 className='h-3.5 w-3.5 text-text-tertiary' />
             </div>
-            <div className='text-[13px] leading-[18px] text-gray-700'>
+            <div className='text-[13px] leading-[18px] text-text-tertiary'>
               {!value.length && t('common.tag.placeholder')}
-              {!!value.length && currentLabel?.label[language]}
+              {!!value.length && currentLabel?.label}
             </div>
             {value.length > 1 && (
-              <div className='text-xs font-medium leading-[18px] text-gray-500'>{`+${value.length - 1}`}</div>
+              <div className='text-xs font-medium leading-[18px] text-text-tertiary'>{`+${value.length - 1}`}</div>
             )}
             {!value.length && (
               <div className='p-[1px]'>
-                <RiArrowDownSLine className='h-3.5 w-3.5 text-gray-700' />
+                <RiArrowDownSLine className='h-3.5 w-3.5 text-text-tertiary' />
               </div>
             )}
             {!!value.length && (
@@ -105,14 +91,14 @@ const LabelFilter: FC<LabelFilterProps> = ({
                 e.stopPropagation()
                 onChange([])
               }}>
-                <XCircle className='h-3.5 w-3.5 text-gray-400 group-hover/clear:text-gray-600' />
+                <XCircle className='h-3.5 w-3.5 text-text-tertiary group-hover/clear:text-text-secondary' />
               </div>
             )}
           </div>
         </PortalToFollowElemTrigger>
         <PortalToFollowElemContent className='z-[1002]'>
-          <div className='relative w-[240px] bg-white rounded-lg border-[0.5px] border-gray-200  shadow-lg'>
-            <div className='p-2 border-b-[0.5px] border-black/5'>
+          <div className='relative w-[240px] bg-components-panel-bg-blur rounded-lg border-[0.5px] backdrop-blur-[5px] border-components-panel-border  shadow-lg'>
+            <div className='p-2'>
               <Input
                 showLeftIcon
                 showClearIcon
@@ -125,17 +111,17 @@ const LabelFilter: FC<LabelFilterProps> = ({
               {filteredLabelList.map(label => (
                 <div
                   key={label.name}
-                  className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-gray-100'
+                  className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-state-base-hover'
                   onClick={() => selectLabel(label)}
                 >
-                  <div title={label.label[language]} className='grow text-sm text-gray-700 leading-5 truncate'>{label.label[language]}</div>
-                  {value.includes(label.name) && <Check className='shrink-0 w-4 h-4 text-primary-600' />}
+                  <div title={label.label} className='grow text-sm text-text-secondary leading-5 truncate'>{label.label}</div>
+                  {value.includes(label.name) && <Check className='shrink-0 w-4 h-4 text-text-accent' />}
                 </div>
               ))}
               {!filteredLabelList.length && (
                 <div className='p-3 flex flex-col items-center gap-1'>
-                  <Tag03 className='h-6 w-6 text-gray-300' />
-                  <div className='text-gray-500 text-xs leading-[14px]'>{t('common.tag.noTag')}</div>
+                  <Tag03 className='h-6 w-6 text-text-quaternary' />
+                  <div className='text-text-tertiary text-xs leading-[14px]'>{t('common.tag.noTag')}</div>
                 </div>
               )}
             </div>
diff --git a/web/app/components/tools/labels/selector.tsx b/web/app/components/tools/labels/selector.tsx
index 3f33e45b91..26cfc3ad9b 100644
--- a/web/app/components/tools/labels/selector.tsx
+++ b/web/app/components/tools/labels/selector.tsx
@@ -1,10 +1,8 @@
 import type { FC } from 'react'
 import { useMemo, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import { useContext } from 'use-context-selector'
-import { useDebounceFn, useMount } from 'ahooks'
+import { useDebounceFn } from 'ahooks'
 import { RiArrowDownSLine } from '@remixicon/react'
-import { useStore as useLabelStore } from './store'
 import cn from '@/utils/classnames'
 import {
   PortalToFollowElem,
@@ -15,9 +13,7 @@ import Input from '@/app/components/base/input'
 import { Tag03 } from '@/app/components/base/icons/src/vender/line/financeAndECommerce'
 import Checkbox from '@/app/components/base/checkbox'
 import type { Label } from '@/app/components/tools/labels/constant'
-import { fetchLabelList } from '@/service/tools'
-import I18n from '@/context/i18n'
-import { getLanguage } from '@/i18n/language'
+import { useTags } from '@/app/components/plugins/hooks'
 
 type LabelSelectorProps = {
   value: string[]
@@ -28,12 +24,9 @@ const LabelSelector: FC<LabelSelectorProps> = ({
   onChange,
 }) => {
   const { t } = useTranslation()
-  const { locale } = useContext(I18n)
-  const language = getLanguage(locale)
   const [open, setOpen] = useState(false)
 
-  const labelList = useLabelStore(s => s.labelList)
-  const setLabelList = useLabelStore(s => s.setLabelList)
+  const { tags: labelList } = useTags()
 
   const [keywords, setKeywords] = useState('')
   const [searchKeywords, setSearchKeywords] = useState('')
@@ -50,8 +43,8 @@ const LabelSelector: FC<LabelSelectorProps> = ({
   }, [labelList, searchKeywords])
 
   const selectedLabels = useMemo(() => {
-    return value.map(v => labelList.find(l => l.name === v)?.label[language]).join(', ')
-  }, [value, labelList, language])
+    return value.map(v => labelList.find(l => l.name === v)?.label).join(', ')
+  }, [value, labelList])
 
   const selectLabel = (label: Label) => {
     if (value.includes(label.name))
@@ -60,12 +53,6 @@ const LabelSelector: FC<LabelSelectorProps> = ({
       onChange([...value, label.name])
   }
 
-  useMount(() => {
-    fetchLabelList().then((res) => {
-      setLabelList(res)
-    })
-  })
-
   return (
     <PortalToFollowElem
       open={open}
@@ -79,21 +66,21 @@ const LabelSelector: FC<LabelSelectorProps> = ({
           className='block'
         >
           <div className={cn(
-            'flex items-center gap-1 px-3 h-10 rounded-lg border-[0.5px] border-transparent bg-gray-100 cursor-pointer hover:bg-gray-200',
-            open && '!bg-gray-200 hover:bg-gray-200',
+            'flex items-center gap-1 px-3 h-10 rounded-lg border-[0.5px] border-transparent bg-components-input-bg-normal cursor-pointer hover:bg-components-input-bg-hover',
+            open && '!hover:bg-components-input-bg-hover hover:bg-components-input-bg-hover',
           )}>
-            <div title={value.length > 0 ? selectedLabels : ''} className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate', !value.length && '!text-gray-400')}>
+            <div title={value.length > 0 ? selectedLabels : ''} className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate', !value.length && '!text-text-quaternary')}>
               {!value.length && t('tools.createTool.toolInput.labelPlaceholder')}
               {!!value.length && selectedLabels}
             </div>
-            <div className='shrink-0 ml-1 text-gray-700 opacity-60'>
+            <div className='shrink-0 ml-1 text-text-secondary opacity-60'>
               <RiArrowDownSLine className='h-4 w-4' />
             </div>
           </div>
         </PortalToFollowElemTrigger>
         <PortalToFollowElemContent className='z-[1040]'>
-          <div className='relative w-[591px] bg-white rounded-lg border-[0.5px] border-gray-200  shadow-lg'>
-            <div className='p-2 border-b-[0.5px] border-black/5'>
+          <div className='relative w-[591px] bg-components-panel-bg-blur backdrop-blur-[5px] rounded-lg border-[0.5px] border-components-panel-border  shadow-lg'>
+            <div className='p-2 border-b-[0.5px] border-divider-regular'>
               <Input
                 showLeftIcon
                 showClearIcon
@@ -106,7 +93,7 @@ const LabelSelector: FC<LabelSelectorProps> = ({
               {filteredLabelList.map(label => (
                 <div
                   key={label.name}
-                  className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-gray-100'
+                  className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover'
                   onClick={() => selectLabel(label)}
                 >
                   <Checkbox
@@ -114,13 +101,13 @@ const LabelSelector: FC<LabelSelectorProps> = ({
                     checked={value.includes(label.name)}
                     onCheck={() => { }}
                   />
-                  <div title={label.label[language]} className='grow text-sm text-gray-700 leading-5 truncate'>{label.label[language]}</div>
+                  <div title={label.label} className='grow text-sm text-text-secondary leading-5 truncate'>{label.label}</div>
                 </div>
               ))}
               {!filteredLabelList.length && (
                 <div className='p-3 flex flex-col items-center gap-1'>
-                  <Tag03 className='h-6 w-6 text-gray-300' />
-                  <div className='text-gray-500 text-xs leading-[14px]'>{t('common.tag.noTag')}</div>
+                  <Tag03 className='h-6 w-6 text-text-quaternary' />
+                  <div className='text-text-tertiary text-xs leading-[14px]'>{t('common.tag.noTag')}</div>
                 </div>
               )}
             </div>
diff --git a/web/app/components/tools/labels/store.ts b/web/app/components/tools/labels/store.ts
deleted file mode 100644
index c19991dfd4..0000000000
--- a/web/app/components/tools/labels/store.ts
+++ /dev/null
@@ -1,15 +0,0 @@
-import { create } from 'zustand'
-import type { Label } from './constant'
-
-type State = {
-  labelList: Label[]
-}
-
-type Action = {
-  setLabelList: (labelList?: Label[]) => void
-}
-
-export const useStore = create<State & Action>(set => ({
-  labelList: [],
-  setLabelList: labelList => set(() => ({ labelList })),
-}))
diff --git a/web/app/components/tools/marketplace/hooks.ts b/web/app/components/tools/marketplace/hooks.ts
new file mode 100644
index 0000000000..0790d52721
--- /dev/null
+++ b/web/app/components/tools/marketplace/hooks.ts
@@ -0,0 +1,117 @@
+import {
+  useCallback,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from 'react'
+import {
+  useMarketplaceCollectionsAndPlugins,
+  useMarketplacePlugins,
+} from '@/app/components/plugins/marketplace/hooks'
+import { PluginType } from '@/app/components/plugins/types'
+import { getMarketplaceListCondition } from '@/app/components/plugins/marketplace/utils'
+import { useAllToolProviders } from '@/service/use-tools'
+
+export const useMarketplace = (searchPluginText: string, filterPluginTags: string[]) => {
+  const { data: toolProvidersData, isSuccess } = useAllToolProviders()
+  const exclude = useMemo(() => {
+    if (isSuccess)
+      return toolProvidersData?.filter(toolProvider => !!toolProvider.plugin_id).map(toolProvider => toolProvider.plugin_id!)
+  }, [isSuccess, toolProvidersData])
+  const {
+    isLoading,
+    marketplaceCollections,
+    marketplaceCollectionPluginsMap,
+    queryMarketplaceCollectionsAndPlugins,
+  } = useMarketplaceCollectionsAndPlugins()
+  const {
+    plugins,
+    resetPlugins,
+    queryPlugins,
+    queryPluginsWithDebounced,
+    isLoading: isPluginsLoading,
+    total: pluginsTotal,
+  } = useMarketplacePlugins()
+  const [page, setPage] = useState(1)
+  const pageRef = useRef(page)
+  const searchPluginTextRef = useRef(searchPluginText)
+  const filterPluginTagsRef = useRef(filterPluginTags)
+
+  useEffect(() => {
+    searchPluginTextRef.current = searchPluginText
+    filterPluginTagsRef.current = filterPluginTags
+  }, [searchPluginText, filterPluginTags])
+  useEffect(() => {
+    if ((searchPluginText || filterPluginTags.length) && isSuccess) {
+      setPage(1)
+      pageRef.current = 1
+
+      if (searchPluginText) {
+        queryPluginsWithDebounced({
+          category: PluginType.tool,
+          query: searchPluginText,
+          tags: filterPluginTags,
+          exclude,
+          type: 'plugin',
+          page: pageRef.current,
+        })
+        return
+      }
+      queryPlugins({
+        category: PluginType.tool,
+        query: searchPluginText,
+        tags: filterPluginTags,
+        exclude,
+        type: 'plugin',
+        page: pageRef.current,
+      })
+    }
+    else {
+      if (isSuccess) {
+        queryMarketplaceCollectionsAndPlugins({
+          category: PluginType.tool,
+          condition: getMarketplaceListCondition(PluginType.tool),
+          exclude,
+          type: 'plugin',
+        })
+        resetPlugins()
+      }
+    }
+  }, [searchPluginText, filterPluginTags, queryPlugins, queryMarketplaceCollectionsAndPlugins, queryPluginsWithDebounced, resetPlugins, exclude, isSuccess])
+
+  const handleScroll = useCallback((e: Event) => {
+    const target = e.target as HTMLDivElement
+    const {
+      scrollTop,
+      scrollHeight,
+      clientHeight,
+    } = target
+    if (scrollTop + clientHeight >= scrollHeight - 5 && scrollTop > 0) {
+      const searchPluginText = searchPluginTextRef.current
+      const filterPluginTags = filterPluginTagsRef.current
+      if (pluginsTotal && plugins && pluginsTotal > plugins.length && (!!searchPluginText || !!filterPluginTags.length)) {
+        setPage(pageRef.current + 1)
+        pageRef.current++
+
+        queryPlugins({
+          category: PluginType.tool,
+          query: searchPluginText,
+          tags: filterPluginTags,
+          exclude,
+          type: 'plugin',
+          page: pageRef.current,
+        })
+      }
+    }
+  }, [exclude, plugins, pluginsTotal, queryPlugins])
+
+  return {
+    isLoading: isLoading || isPluginsLoading,
+    marketplaceCollections,
+    marketplaceCollectionPluginsMap,
+    plugins,
+    handleScroll,
+    page,
+  }
+}
diff --git a/web/app/components/tools/marketplace/index.tsx b/web/app/components/tools/marketplace/index.tsx
new file mode 100644
index 0000000000..2b560b8a13
--- /dev/null
+++ b/web/app/components/tools/marketplace/index.tsx
@@ -0,0 +1,117 @@
+import {
+  useEffect,
+  useRef,
+} from 'react'
+import {
+  RiArrowRightUpLine,
+  RiArrowUpDoubleLine,
+} from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import { useMarketplace } from './hooks'
+import List from '@/app/components/plugins/marketplace/list'
+import Loading from '@/app/components/base/loading'
+import { getLocaleOnClient } from '@/i18n'
+import { MARKETPLACE_URL_PREFIX } from '@/config'
+
+type MarketplaceProps = {
+  searchPluginText: string
+  filterPluginTags: string[]
+  onMarketplaceScroll: () => void
+}
+const Marketplace = ({
+  searchPluginText,
+  filterPluginTags,
+  onMarketplaceScroll,
+}: MarketplaceProps) => {
+  const locale = getLocaleOnClient()
+  const { t } = useTranslation()
+
+  const {
+    isLoading,
+    marketplaceCollections,
+    marketplaceCollectionPluginsMap,
+    plugins,
+    handleScroll,
+    page,
+  } = useMarketplace(searchPluginText, filterPluginTags)
+  const containerRef = useRef<HTMLDivElement>(null)
+
+  useEffect(() => {
+    const container = containerRef.current
+    if (container)
+      container.addEventListener('scroll', handleScroll)
+
+    return () => {
+      if (container)
+        container.removeEventListener('scroll', handleScroll)
+    }
+  }, [handleScroll])
+
+  return (
+    <div
+      ref={containerRef}
+      className='grow flex flex-col shrink-0 sticky bottom-[-442px] h-[530px] overflow-y-auto px-12 py-2 pt-0 bg-background-default-subtle'
+    >
+      <RiArrowUpDoubleLine
+        className='absolute top-2 left-1/2 -translate-x-1/2 w-4 h-4 text-text-quaternary cursor-pointer'
+        onClick={() => onMarketplaceScroll()}
+      />
+      <div className='sticky top-0 pt-5 pb-3 bg-background-default-subtle z-10'>
+        <div className='title-2xl-semi-bold bg-gradient-to-r from-[rgba(11,165,236,0.95)] to-[rgba(21,90,239,0.95)] bg-clip-text text-transparent'>
+          {t('plugin.marketplace.moreFrom')}
+        </div>
+        <div className='flex items-center text-center body-md-regular text-text-tertiary'>
+          {t('plugin.marketplace.discover')}
+          <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected">
+            {t('plugin.category.models')}
+          </span>
+          ,
+          <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected">
+            {t('plugin.category.tools')}
+          </span>
+          ,
+          <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected">
+            {t('plugin.category.agents')}
+          </span>
+          ,
+          <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected">
+            {t('plugin.category.extensions')}
+          </span>
+          {t('plugin.marketplace.and')}
+          <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected">
+            {t('plugin.category.bundles')}
+          </span>
+          {t('common.operation.in')}
+          <a
+            href={`${MARKETPLACE_URL_PREFIX}?language=${locale}&q=${searchPluginText}&tags=${filterPluginTags.join(',')}`}
+            className='flex items-center ml-1 system-sm-medium text-text-accent'
+            target='_blank'
+          >
+            {t('plugin.marketplace.difyMarketplace')}
+            <RiArrowRightUpLine className='w-4 h-4' />
+          </a>
+        </div>
+      </div>
+      {
+        isLoading && page === 1 && (
+          <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'>
+            <Loading />
+          </div>
+        )
+      }
+      {
+        (!isLoading || page > 1) && (
+          <List
+            marketplaceCollections={marketplaceCollections || []}
+            marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap || {}}
+            plugins={plugins}
+            showInstallButton
+            locale={locale}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+export default Marketplace
diff --git a/web/app/components/tools/provider-list.tsx b/web/app/components/tools/provider-list.tsx
index 73c7363641..ff21c74668 100644
--- a/web/app/components/tools/provider-list.tsx
+++ b/web/app/components/tools/provider-list.tsx
@@ -1,33 +1,36 @@
 'use client'
-import { useEffect, useMemo, useState } from 'react'
+import { useMemo, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
-import { RiCloseLine } from '@remixicon/react'
 import type { Collection } from './types'
+import Marketplace from './marketplace'
 import cn from '@/utils/classnames'
 import { useTabSearchParams } from '@/hooks/use-tab-searchparams'
 import TabSliderNew from '@/app/components/base/tab-slider-new'
 import LabelFilter from '@/app/components/tools/labels/filter'
 import Input from '@/app/components/base/input'
-import { DotsGrid } from '@/app/components/base/icons/src/vender/line/general'
-import { Colors } from '@/app/components/base/icons/src/vender/line/others'
-import { Route } from '@/app/components/base/icons/src/vender/line/mapsAndTravel'
-import CustomCreateCard from '@/app/components/tools/provider/custom-create-card'
-import ContributeCard from '@/app/components/tools/provider/contribute'
-import ProviderCard from '@/app/components/tools/provider/card'
 import ProviderDetail from '@/app/components/tools/provider/detail'
-import Empty from '@/app/components/tools/add-tool-modal/empty'
-import { fetchCollectionList } from '@/service/tools'
+import Empty from '@/app/components/plugins/marketplace/empty'
+import CustomCreateCard from '@/app/components/tools/provider/custom-create-card'
+import WorkflowToolEmpty from '@/app/components/tools/add-tool-modal/empty'
+import Card from '@/app/components/plugins/card'
+import CardMoreInfo from '@/app/components/plugins/card/card-more-info'
+import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel'
+import { useSelector as useAppContextSelector } from '@/context/app-context'
+import { useAllToolProviders } from '@/service/use-tools'
+import { useInstalledPluginList, useInvalidateInstalledPluginList } from '@/service/use-plugins'
 
 const ProviderList = () => {
   const { t } = useTranslation()
+  const containerRef = useRef<HTMLDivElement>(null)
+  const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures)
 
   const [activeTab, setActiveTab] = useTabSearchParams({
     defaultTab: 'builtin',
   })
   const options = [
-    { value: 'builtin', text: t('tools.type.builtIn'), icon: <DotsGrid className='w-[14px] h-[14px] mr-1' /> },
-    { value: 'api', text: t('tools.type.custom'), icon: <Colors className='w-[14px] h-[14px] mr-1' /> },
-    { value: 'workflow', text: t('tools.type.workflow'), icon: <Route className='w-[14px] h-[14px] mr-1' /> },
+    { value: 'builtin', text: t('tools.type.builtIn') },
+    { value: 'api', text: t('tools.type.custom') },
+    { value: 'workflow', text: t('tools.type.workflow') },
   ]
   const [tagFilterValue, setTagFilterValue] = useState<string[]>([])
   const handleTagsChange = (value: string[]) => {
@@ -37,8 +40,7 @@ const ProviderList = () => {
   const handleKeywordsChange = (value: string) => {
     setKeywords(value)
   }
-
-  const [collectionList, setCollectionList] = useState<Collection[]>([])
+  const { data: collectionList = [], refetch } = useAllToolProviders()
   const filteredCollectionList = useMemo(() => {
     return collectionList.filter((collection) => {
       if (collection.type !== activeTab)
@@ -50,75 +52,110 @@ const ProviderList = () => {
       return true
     })
   }, [activeTab, tagFilterValue, keywords, collectionList])
-  const getProviderList = async () => {
-    const list = await fetchCollectionList()
-    setCollectionList([...list])
-  }
-  useEffect(() => {
-    getProviderList()
-  }, [])
 
   const [currentProvider, setCurrentProvider] = useState<Collection | undefined>()
-  useEffect(() => {
-    if (currentProvider && collectionList.length > 0) {
-      const newCurrentProvider = collectionList.find(collection => collection.id === currentProvider.id)
-      setCurrentProvider(newCurrentProvider)
-    }
-  }, [collectionList, currentProvider])
+  const { data: pluginList } = useInstalledPluginList()
+  const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
+  const currentPluginDetail = useMemo(() => {
+    const detail = pluginList?.plugins.find(plugin => plugin.plugin_id === currentProvider?.plugin_id)
+    return detail
+  }, [currentProvider?.plugin_id, pluginList?.plugins])
 
   return (
-    <div className='relative flex overflow-hidden bg-gray-100 shrink-0 h-0 grow'>
-      <div className='relative flex flex-col overflow-y-auto bg-gray-100 grow'>
-        <div className={cn(
-          'sticky top-0 flex justify-between items-center pt-4 px-12 pb-2 leading-[56px] bg-gray-100 z-20 flex-wrap gap-y-2',
-          currentProvider && 'pr-6',
-        )}>
-          <TabSliderNew
-            value={activeTab}
-            onChange={(state) => {
-              setActiveTab(state)
-              if (state !== activeTab)
-                setCurrentProvider(undefined)
-            }}
-            options={options}
-          />
-          <div className='flex items-center gap-2'>
-            <LabelFilter value={tagFilterValue} onChange={handleTagsChange} />
-            <Input
-              showLeftIcon
-              showClearIcon
-              wrapperClassName='w-[200px]'
-              value={keywords}
-              onChange={e => handleKeywordsChange(e.target.value)}
-              onClear={() => handleKeywordsChange('')}
+    <>
+      <div className='relative flex overflow-hidden shrink-0 h-0 grow'>
+        <div
+          ref={containerRef}
+          className='relative flex flex-col overflow-y-auto bg-background-body grow'
+        >
+          <div className={cn(
+            'sticky top-0 flex justify-between items-center pt-4 px-12 pb-2 leading-[56px] bg-background-body z-20 flex-wrap gap-y-2',
+            currentProvider && 'pr-6',
+          )}>
+            <TabSliderNew
+              value={activeTab}
+              onChange={(state) => {
+                setActiveTab(state)
+                if (state !== activeTab)
+                  setCurrentProvider(undefined)
+              }}
+              options={options}
             />
+            <div className='flex items-center gap-2'>
+              <LabelFilter value={tagFilterValue} onChange={handleTagsChange} />
+              <Input
+                showLeftIcon
+                showClearIcon
+                wrapperClassName='w-[200px]'
+                value={keywords}
+                onChange={e => handleKeywordsChange(e.target.value)}
+                onClear={() => handleKeywordsChange('')}
+              />
+            </div>
           </div>
-        </div>
-        <div className={cn(
-          'relative grid content-start grid-cols-1 gap-4 px-12 pt-2 pb-4 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 grow shrink-0',
-          currentProvider && 'pr-6 sm:grid-cols-1 md:grid-cols-2 lg:grid-cols-3',
-        )}>
-          {activeTab === 'builtin' && <ContributeCard />}
-          {activeTab === 'api' && <CustomCreateCard onRefreshData={getProviderList} />}
-          {filteredCollectionList.map(collection => (
-            <ProviderCard
-              active={currentProvider?.id === collection.id}
-              onSelect={() => setCurrentProvider(collection)}
-              key={collection.id}
-              collection={collection}
-            />
-          ))}
-          {!filteredCollectionList.length && <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'><Empty /></div>}
+          {(filteredCollectionList.length > 0 || activeTab !== 'builtin') && (
+            <div className={cn(
+              'relative grid content-start grid-cols-1 gap-4 px-12 pt-2 pb-4 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 shrink-0',
+              !filteredCollectionList.length && activeTab === 'workflow' && 'grow',
+            )}>
+              {activeTab === 'api' && <CustomCreateCard onRefreshData={refetch} />}
+              {filteredCollectionList.map(collection => (
+                <div
+                  key={collection.id}
+                  onClick={() => setCurrentProvider(collection)}
+                >
+                  <Card
+                    className={cn(
+                      'border-[1.5px] border-transparent cursor-pointer',
+                      currentProvider?.id === collection.id && 'border-components-option-card-option-selected-border',
+                    )}
+                    hideCornerMark
+                    payload={{
+                      ...collection,
+                      brief: collection.description,
+                      org: collection.plugin_id ? collection.plugin_id.split('/')[0] : '',
+                      name: collection.plugin_id ? collection.plugin_id.split('/')[1] : collection.name,
+                    } as any}
+                    footer={
+                      <CardMoreInfo
+                        tags={collection.labels}
+                      />
+                    }
+                  />
+                </div>
+              ))}
+              {!filteredCollectionList.length && activeTab === 'workflow' && <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'><WorkflowToolEmpty /></div>}
+            </div>
+          )}
+          {!filteredCollectionList.length && activeTab === 'builtin' && (
+            <Empty lightCard text={t('tools.noTools')} className='px-12 h-[224px]' />
+          )}
+          {
+            enable_marketplace && activeTab === 'builtin' && (
+              <Marketplace
+                onMarketplaceScroll={() => {
+                  containerRef.current?.scrollTo({ top: containerRef.current.scrollHeight, behavior: 'smooth' })
+                }}
+                searchPluginText={keywords}
+                filterPluginTags={tagFilterValue}
+              />
+            )
+          }
         </div>
       </div>
-      <div className={cn(
-        'shrink-0 w-0 border-l-[0.5px] border-black/8 overflow-y-auto transition-all duration-200 ease-in-out',
-        currentProvider && 'w-[420px]',
-      )}>
-        {currentProvider && <ProviderDetail collection={currentProvider} onRefreshData={getProviderList} />}
-      </div>
-      <div className='absolute top-5 right-5 p-1 cursor-pointer' onClick={() => setCurrentProvider(undefined)}><RiCloseLine className='w-4 h-4' /></div>
-    </div>
+      {currentProvider && !currentProvider.plugin_id && (
+        <ProviderDetail
+          collection={currentProvider}
+          onHide={() => setCurrentProvider(undefined)}
+          onRefreshData={refetch}
+        />
+      )}
+      <PluginDetailPanel
+        detail={currentPluginDetail}
+        onUpdate={() => invalidateInstalledPluginList()}
+        onHide={() => setCurrentProvider(undefined)}
+      />
+    </>
   )
 }
 ProviderList.displayName = 'ToolProviderList'
diff --git a/web/app/components/tools/provider/custom-create-card.tsx b/web/app/components/tools/provider/custom-create-card.tsx
index d6aa9ab533..9ae1714a27 100644
--- a/web/app/components/tools/provider/custom-create-card.tsx
+++ b/web/app/components/tools/provider/custom-create-card.tsx
@@ -45,16 +45,16 @@ const Contribute = ({ onRefreshData }: Props) => {
   return (
     <>
       {isCurrentWorkspaceManager && (
-        <div className='flex flex-col col-span-1 bg-gray-200 border-[0.5px] border-black/5 rounded-xl min-h-[160px] transition-all duration-200 ease-in-out cursor-pointer hover:bg-gray-50 hover:shadow-lg'>
-          <div className='group grow rounded-t-xl hover:bg-white' onClick={() => setIsShowEditCustomCollectionModal(true)}>
+        <div className='flex flex-col col-span-1 bg-components-panel-on-panel-item-bg border-[0.5px] border-divider-subtle rounded-xl min-h-[135px] transition-all duration-200 ease-in-out cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-lg'>
+          <div className='group grow rounded-t-xl hover:bg-background-body' onClick={() => setIsShowEditCustomCollectionModal(true)}>
             <div className='shrink-0 flex items-center p-4 pb-3'>
-              <div className='w-10 h-10 flex items-center justify-center border border-gray-200 bg-gray-100 rounded-lg group-hover:border-primary-100 group-hover:bg-primary-50'>
-                <RiAddLine className='w-4 h-4 text-gray-500 group-hover:text-primary-600'/>
+              <div className='w-10 h-10 flex items-center justify-center border border-components-option-card-option-border bg-components-option-card-option-bg rounded-lg group-hover:border-components-option-card-option-border-hover group-hover:bg-components-option-card-option-bg-hover'>
+                <RiAddLine className='w-4 h-4 text-text-tertiary group-hover:text-text-accent'/>
               </div>
-              <div className='ml-3 text-sm font-semibold leading-5 text-gray-800 group-hover:text-primary-600'>{t('tools.createCustomTool')}</div>
+              <div className='ml-3 text-sm font-semibold leading-5 text-text-primary group-hover:text-text-accent'>{t('tools.createCustomTool')}</div>
             </div>
           </div>
-          <div className='px-4 py-3 rounded-b-xl border-t-[0.5px] border-black/5 text-gray-500 hover:text-[#155EEF] hover:bg-white'>
+          <div className='px-4 py-3 rounded-b-xl border-t-[0.5px] border-divider-regular text-text-tertiary hover:text-text-accent hover:bg-background-body'>
             <a href={linkUrl} target='_blank' rel='noopener noreferrer' className='flex items-center space-x-1'>
               <BookOpen01 className='shrink-0 w-3 h-3' />
               <div className='grow leading-[18px] text-xs font-normal truncate' title={t('tools.customToolTip') || ''}>{t('tools.customToolTip')}</div>
diff --git a/web/app/components/tools/provider/detail.tsx b/web/app/components/tools/provider/detail.tsx
index 566fe4623a..2143ca0b39 100644
--- a/web/app/components/tools/provider/detail.tsx
+++ b/web/app/components/tools/provider/detail.tsx
@@ -2,6 +2,9 @@
 import React, { useCallback, useEffect, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useContext } from 'use-context-selector'
+import {
+  RiCloseLine,
+} from '@remixicon/react'
 import { AuthHeaderPrefix, AuthType, CollectionType } from '../types'
 import type { Collection, CustomCollectionBackend, Tool, WorkflowToolProviderRequest, WorkflowToolProviderResponse } from '../types'
 import ToolItem from './tool-item'
@@ -9,14 +12,20 @@ import cn from '@/utils/classnames'
 import I18n from '@/context/i18n'
 import { getLanguage } from '@/i18n/language'
 import Confirm from '@/app/components/base/confirm'
-import AppIcon from '@/app/components/base/app-icon'
 import Button from '@/app/components/base/button'
 import Indicator from '@/app/components/header/indicator'
 import { LinkExternal02, Settings01 } from '@/app/components/base/icons/src/vender/line/general'
+import Icon from '@/app/components/plugins/card/base/card-icon'
+import Title from '@/app/components/plugins/card/base/title'
+import OrgInfo from '@/app/components/plugins/card/base/org-info'
+import Description from '@/app/components/plugins/card/base/description'
 import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials'
 import EditCustomToolModal from '@/app/components/tools/edit-custom-collection-modal'
 import WorkflowToolModal from '@/app/components/tools/workflow-tool'
 import Toast from '@/app/components/base/toast'
+import Drawer from '@/app/components/base/drawer'
+import ActionButton from '@/app/components/base/action-button'
+
 import {
   deleteWorkflowTool,
   fetchBuiltInToolList,
@@ -35,14 +44,17 @@ import { useProviderContext } from '@/context/provider-context'
 import { ConfigurationMethodEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 import Loading from '@/app/components/base/loading'
 import { useAppContext } from '@/context/app-context'
+import { useInvalidateAllWorkflowTools } from '@/service/use-tools'
 
 type Props = {
   collection: Collection
+  onHide: () => void
   onRefreshData: () => void
 }
 
 const ProviderDetail = ({
   collection,
+  onHide,
   onRefreshData,
 }: Props) => {
   const { t } = useTranslation()
@@ -54,7 +66,7 @@ const ProviderDetail = ({
   const isBuiltIn = collection.type === CollectionType.builtIn
   const isModel = collection.type === CollectionType.model
   const { isCurrentWorkspaceManager } = useAppContext()
-
+  const invalidateAllWorkflowTools = useInvalidateAllWorkflowTools()
   const [isDetailLoading, setIsDetailLoading] = useState(false)
 
   // built in provider
@@ -153,6 +165,7 @@ const ProviderDetail = ({
     workflow_tool_id: string
   }>) => {
     await saveWorkflowToolProvider(data)
+    invalidateAllWorkflowTools()
     onRefreshData()
     getWorkflowToolProvider()
     Toast.notify({
@@ -213,164 +226,203 @@ const ProviderDetail = ({
   }, [collection.name, collection.type, getCustomProvider, getProviderToolList, getWorkflowToolProvider])
 
   return (
-    <div className='px-6 py-3'>
-      <div className='flex items-center py-1 gap-2'>
-        <div className='relative shrink-0'>
-          {typeof collection.icon === 'string' && (
-            <div className='w-8 h-8 bg-center bg-cover bg-no-repeat rounded-md' style={{ backgroundImage: `url(${collection.icon})` }} />
-          )}
-          {typeof collection.icon !== 'string' && (
-            <AppIcon
-              size='small'
-              icon={collection.icon.content}
-              background={collection.icon.background}
-            />
-          )}
-        </div>
-        <div className='grow w-0 py-[1px]'>
-          <div className='flex items-center text-md leading-6 font-semibold text-gray-900'>
-            <div className='truncate' title={collection.label[language]}>{collection.label[language]}</div>
-          </div>
-        </div>
-      </div>
-      <div className='mt-2 min-h-[36px] text-gray-500 text-sm leading-[18px]'>{collection.description[language]}</div>
-      <div className='flex gap-1 border-b-[0.5px] border-black/5'>
-        {(collection.type === CollectionType.builtIn) && needAuth && (
-          <Button
-            variant={isAuthed ? 'secondary' : 'primary'}
-            className={cn('shrink-0 my-3 w-full', isAuthed && 'bg-white')}
-            onClick={() => {
-              if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model)
-                showSettingAuthModal()
-            }}
-            disabled={!isCurrentWorkspaceManager}
-          >
-            {isAuthed && <Indicator className='mr-2' color={'green'} />}
-            <div className={cn('text-white leading-[18px] text-[13px] font-medium', isAuthed && '!text-gray-700')}>
-              {isAuthed ? t('tools.auth.authorized') : t('tools.auth.unauthorized')}
+    <Drawer
+      isOpen={!!collection}
+      clickOutsideNotOpen={false}
+      onClose={onHide}
+      footer={null}
+      mask={false}
+      positionCenter={false}
+      panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')}
+    >
+      <div className='p-4'>
+        <div className='mb-3 flex'>
+          <Icon src={collection.icon} />
+          <div className="ml-3 w-0 grow">
+            <div className="flex items-center h-5">
+              <Title title={collection.label[language]} />
             </div>
-          </Button>
-        )}
-        {collection.type === CollectionType.custom && !isDetailLoading && (
-          <Button
-            className={cn('shrink-0 my-3 w-full')}
-            onClick={() => setIsShowEditCustomCollectionModal(true)}
-          >
-            <Settings01 className='mr-1 w-4 h-4 text-gray-500' />
-            <div className='leading-5 text-sm font-medium text-gray-700'>{t('tools.createTool.editAction')}</div>
-          </Button>
-        )}
-        {collection.type === CollectionType.workflow && !isDetailLoading && customCollection && (
-          <>
-            <Button
-              variant='primary'
-              className={cn('shrink-0 my-3 w-[183px]')}
-            >
-              <a className='flex items-center text-white' href={`/app/${(customCollection as WorkflowToolProviderResponse).workflow_app_id}/workflow`} rel='noreferrer' target='_blank'>
-                <div className='leading-5 text-sm font-medium'>{t('tools.openInStudio')}</div>
-                <LinkExternal02 className='ml-1 w-4 h-4' />
-              </a>
-            </Button>
-            <Button
-              className={cn('shrink-0 my-3 w-[183px]')}
-              onClick={() => setIsShowEditWorkflowToolModal(true)}
-              disabled={!isCurrentWorkspaceManager}
-            >
-              <div className='leading-5 text-sm font-medium text-gray-700'>{t('tools.createTool.editAction')}</div>
-            </Button>
-          </>
-        )}
-      </div>
-      {/* Tools */}
-      <div className='pt-3'>
-        {isDetailLoading && <div className='flex h-[200px]'><Loading type='app' /></div>}
-        {!isDetailLoading && (
-          <div className='text-xs font-medium leading-6 text-gray-500'>
-            {collection.type === CollectionType.workflow && <span className=''>{t('tools.createTool.toolInput.title').toLocaleUpperCase()}</span>}
-            {collection.type !== CollectionType.workflow && <span className=''>{t('tools.includeToolNum', { num: toolList.length }).toLocaleUpperCase()}</span>}
-            {needAuth && (isBuiltIn || isModel) && !isAuthed && (
-              <>
-                <span className='px-1'>·</span>
-                <span className='text-[#DC6803]'>{t('tools.auth.setup').toLocaleUpperCase()}</span>
-              </>
-            )}
-          </div>
-        )}
-        {!isDetailLoading && (
-          <div className='mt-1'>
-            {collection.type !== CollectionType.workflow && toolList.map(tool => (
-              <ToolItem
-                key={tool.name}
-                disabled={needAuth && (isBuiltIn || isModel) && !isAuthed}
-                collection={collection}
-                tool={tool}
-                isBuiltIn={isBuiltIn}
-                isModel={isModel}
+            <div className='mb-1 flex justify-between items-center h-4'>
+              <OrgInfo
+                className="mt-0.5"
+                packageNameClassName='w-auto'
+                orgName={collection.author}
+                packageName={collection.name}
               />
-            ))}
-            {collection.type === CollectionType.workflow && (customCollection as WorkflowToolProviderResponse)?.tool?.parameters.map(item => (
-              <div key={item.name} className='mb-2 px-4 py-3 rounded-xl bg-gray-25 border-[0.5px] border-gray-200'>
-                <div className='flex items-center gap-2'>
-                  <span className='font-medium text-sm text-gray-900'>{item.name}</span>
-                  <span className='text-xs leading-[18px] text-gray-500'>{item.type}</span>
-                  <span className='font-medium text-xs leading-[18px] text-[#ec4a0a]'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span>
-                </div>
-                <div className='h-[18px] leading-[18px] text-gray-500 text-xs'>{item.llm_description}</div>
-              </div>
-            ))}
+            </div>
           </div>
+          <div className='flex gap-1'>
+            <ActionButton onClick={onHide}>
+              <RiCloseLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+        </div>
+        {!!collection.description[language] && (
+          <Description text={collection.description[language]} descriptionLineRows={2}></Description>
+        )}
+        <div className='flex gap-1 border-b-[0.5px] border-divider-subtle'>
+          {collection.type === CollectionType.custom && !isDetailLoading && (
+            <Button
+              className={cn('shrink-0 my-3 w-full')}
+              onClick={() => setIsShowEditCustomCollectionModal(true)}
+            >
+              <Settings01 className='mr-1 w-4 h-4 text-text-tertiary' />
+              <div className='system-sm-medium text-text-secondary'>{t('tools.createTool.editAction')}</div>
+            </Button>
+          )}
+          {collection.type === CollectionType.workflow && !isDetailLoading && customCollection && (
+            <>
+              <Button
+                variant='primary'
+                className={cn('shrink-0 my-3 w-[183px]')}
+              >
+                <a className='flex items-center text-text-primary' href={`/app/${(customCollection as WorkflowToolProviderResponse).workflow_app_id}/workflow`} rel='noreferrer' target='_blank'>
+                  <div className='system-sm-medium'>{t('tools.openInStudio')}</div>
+                  <LinkExternal02 className='ml-1 w-4 h-4' />
+                </a>
+              </Button>
+              <Button
+                className={cn('shrink-0 my-3 w-[183px]')}
+                onClick={() => setIsShowEditWorkflowToolModal(true)}
+                disabled={!isCurrentWorkspaceManager}
+              >
+                <div className='system-sm-medium text-text-secondary'>{t('tools.createTool.editAction')}</div>
+              </Button>
+            </>
+          )}
+        </div>
+        {/* Tools */}
+        <div className='pt-3'>
+          {isDetailLoading && <div className='flex h-[200px]'><Loading type='app' /></div>}
+          {/* Builtin type */}
+          {!isDetailLoading && (collection.type === CollectionType.builtIn) && isAuthed && (
+            <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'>
+              {t('plugin.detailPanel.actionNum', { num: toolList.length, action: toolList.length > 1 ? 'actions' : 'action' })}
+              {needAuth && (
+                <Button
+                  variant='secondary'
+                  size='small'
+                  onClick={() => {
+                    if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model)
+                      showSettingAuthModal()
+                  }}
+                  disabled={!isCurrentWorkspaceManager}
+                >
+                  <Indicator className='mr-2' color={'green'} />
+                  {t('tools.auth.authorized')}
+                </Button>
+              )}
+            </div>
+          )}
+          {!isDetailLoading && (collection.type === CollectionType.builtIn) && needAuth && !isAuthed && (
+            <>
+              <div className='text-text-secondary system-sm-semibold-uppercase'>
+                <span className=''>{t('tools.includeToolNum', { num: toolList.length, action: toolList.length > 1 ? 'actions' : 'action' }).toLocaleUpperCase()}</span>
+                <span className='px-1'>·</span>
+                <span className='text-util-colors-orange-orange-600'>{t('tools.auth.setup').toLocaleUpperCase()}</span>
+              </div>
+              <Button
+                variant='primary'
+                className={cn('shrink-0 my-3 w-full')}
+                onClick={() => {
+                  if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model)
+                    showSettingAuthModal()
+                }}
+                disabled={!isCurrentWorkspaceManager}
+              >
+                {t('tools.auth.unauthorized')}
+              </Button>
+            </>
+          )}
+          {/* Custom type */}
+          {!isDetailLoading && (collection.type === CollectionType.custom) && (
+            <div className='text-text-secondary system-sm-semibold-uppercase'>
+              <span className=''>{t('tools.includeToolNum', { num: toolList.length }).toLocaleUpperCase()}</span>
+            </div>
+          )}
+          {/* Workflow type */}
+          {!isDetailLoading && (collection.type === CollectionType.workflow) && (
+            <div className='text-text-secondary system-sm-semibold-uppercase'>
+              <span className=''>{t('tools.createTool.toolInput.title').toLocaleUpperCase()}</span>
+            </div>
+          )}
+          {!isDetailLoading && (
+            <div className='mt-1 py-2'>
+              {collection.type !== CollectionType.workflow && toolList.map(tool => (
+                <ToolItem
+                  key={tool.name}
+                  disabled={false}
+                  // disabled={needAuth && (isBuiltIn || isModel) && !isAuthed}
+                  collection={collection}
+                  tool={tool}
+                  isBuiltIn={isBuiltIn}
+                  isModel={isModel}
+                />
+              ))}
+              {collection.type === CollectionType.workflow && (customCollection as WorkflowToolProviderResponse)?.tool?.parameters.map(item => (
+                <div key={item.name} className='mb-1 py-1'>
+                  <div className='mb-1 flex items-center gap-2'>
+                    <span className='text-text-secondary code-sm-semibold'>{item.name}</span>
+                    <span className='text-text-tertiary system-xs-regular'>{item.type}</span>
+                    <span className='text-text-warning-secondary system-xs-medium'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span>
+                  </div>
+                  <div className='text-text-tertiary system-xs-regular'>{item.llm_description}</div>
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+        {showSettingAuth && (
+          <ConfigCredential
+            collection={collection}
+            onCancel={() => setShowSettingAuth(false)}
+            onSaved={async (value) => {
+              await updateBuiltInToolCredential(collection.name, value)
+              Toast.notify({
+                type: 'success',
+                message: t('common.api.actionSuccess'),
+              })
+              await onRefreshData()
+              setShowSettingAuth(false)
+            }}
+            onRemove={async () => {
+              await removeBuiltInToolCredential(collection.name)
+              Toast.notify({
+                type: 'success',
+                message: t('common.api.actionSuccess'),
+              })
+              await onRefreshData()
+              setShowSettingAuth(false)
+            }}
+          />
+        )}
+        {isShowEditCollectionToolModal && (
+          <EditCustomToolModal
+            payload={customCollection}
+            onHide={() => setIsShowEditCustomCollectionModal(false)}
+            onEdit={doUpdateCustomToolCollection}
+            onRemove={onClickCustomToolDelete}
+          />
+        )}
+        {isShowEditWorkflowToolModal && (
+          <WorkflowToolModal
+            payload={customCollection}
+            onHide={() => setIsShowEditWorkflowToolModal(false)}
+            onRemove={onClickWorkflowToolDelete}
+            onSave={updateWorkflowToolProvider}
+          />
+        )}
+        {showConfirmDelete && (
+          <Confirm
+            title={t('tools.createTool.deleteToolConfirmTitle')}
+            content={t('tools.createTool.deleteToolConfirmContent')}
+            isShow={showConfirmDelete}
+            onConfirm={handleConfirmDelete}
+            onCancel={() => setShowConfirmDelete(false)}
+          />
         )}
       </div>
-      {showSettingAuth && (
-        <ConfigCredential
-          collection={collection}
-          onCancel={() => setShowSettingAuth(false)}
-          onSaved={async (value) => {
-            await updateBuiltInToolCredential(collection.name, value)
-            Toast.notify({
-              type: 'success',
-              message: t('common.api.actionSuccess'),
-            })
-            await onRefreshData()
-            setShowSettingAuth(false)
-          }}
-          onRemove={async () => {
-            await removeBuiltInToolCredential(collection.name)
-            Toast.notify({
-              type: 'success',
-              message: t('common.api.actionSuccess'),
-            })
-            await onRefreshData()
-            setShowSettingAuth(false)
-          }}
-        />
-      )}
-      {isShowEditCollectionToolModal && (
-        <EditCustomToolModal
-          payload={customCollection}
-          onHide={() => setIsShowEditCustomCollectionModal(false)}
-          onEdit={doUpdateCustomToolCollection}
-          onRemove={onClickCustomToolDelete}
-        />
-      )}
-      {isShowEditWorkflowToolModal && (
-        <WorkflowToolModal
-          payload={customCollection}
-          onHide={() => setIsShowEditWorkflowToolModal(false)}
-          onRemove={onClickWorkflowToolDelete}
-          onSave={updateWorkflowToolProvider}
-        />
-      )}
-      {showConfirmDelete && (
-        <Confirm
-          title={t('tools.createTool.deleteToolConfirmTitle')}
-          content={t('tools.createTool.deleteToolConfirmContent')}
-          isShow={showConfirmDelete}
-          onConfirm={handleConfirmDelete}
-          onCancel={() => setShowConfirmDelete(false)}
-        />
-      )}
-    </div>
+    </Drawer>
   )
 }
 export default ProviderDetail
diff --git a/web/app/components/tools/provider/tool-item.tsx b/web/app/components/tools/provider/tool-item.tsx
index 2133f9221a..89bb779f6a 100644
--- a/web/app/components/tools/provider/tool-item.tsx
+++ b/web/app/components/tools/provider/tool-item.tsx
@@ -29,14 +29,15 @@ const ToolItem = ({
   return (
     <>
       <div
-        className={cn('mb-2 px-4 py-3 rounded-xl bg-gray-25 border-[0.5px] border-gary-200  shadow-xs cursor-pointer', disabled && 'opacity-50 !cursor-not-allowed')}
+        className={cn('mb-2 px-4 py-3 bg-components-panel-item-bg rounded-xl border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover', disabled && 'opacity-50 !cursor-not-allowed')}
         onClick={() => !disabled && setShowDetail(true)}
       >
-        <div className='text-gray-800 font-semibold text-sm leading-5'>{tool.label[language]}</div>
-        <div className='mt-0.5 text-xs leading-[18px] text-gray-500 line-clamp-2' title={tool.description[language]}>{tool.description[language]}</div>
+        <div className='pb-0.5 text-text-secondary system-md-semibold'>{tool.label[language]}</div>
+        <div className='text-text-tertiary system-xs-regular line-clamp-2' title={tool.description[language]}>{tool.description[language]}</div>
       </div>
       {showDetail && (
         <SettingBuiltInTool
+          showBackButton
           collection={collection}
           toolName={tool.name}
           readonly
diff --git a/web/app/components/tools/setting/build-in/config-credentials.tsx b/web/app/components/tools/setting/build-in/config-credentials.tsx
index 23ef867feb..3d083b8d58 100644
--- a/web/app/components/tools/setting/build-in/config-credentials.tsx
+++ b/web/app/components/tools/setting/build-in/config-credentials.tsx
@@ -20,6 +20,7 @@ type Props = {
   onSaved: (value: Record<string, any>) => void
   isHideRemoveBtn?: boolean
   onRemove?: () => void
+  isSaving?: boolean
 }
 
 const ConfigCredential: FC<Props> = ({
@@ -28,12 +29,14 @@ const ConfigCredential: FC<Props> = ({
   onSaved,
   isHideRemoveBtn,
   onRemove = () => { },
+  isSaving,
 }) => {
   const { t } = useTranslation()
   const language = useLanguage()
   const [credentialSchema, setCredentialSchema] = useState<any>(null)
   const { name: collectionName } = collection
   const [tempCredential, setTempCredential] = React.useState<any>({})
+  const [isLoading, setIsLoading] = React.useState(false)
   useEffect(() => {
     fetchBuiltInToolCredentialSchema(collectionName).then(async (res) => {
       const toolCredentialSchemas = toolCredentialToFormSchemas(res)
@@ -45,14 +48,21 @@ const ConfigCredential: FC<Props> = ({
     })
   }, [])
 
-  const handleSave = () => {
+  const handleSave = async () => {
     for (const field of credentialSchema) {
       if (field.required && !tempCredential[field.name]) {
         Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: field.label[language] || field.label.en_US }) })
         return
       }
     }
-    onSaved(tempCredential)
+    setIsLoading(true)
+    try {
+      await onSaved(tempCredential)
+      setIsLoading(false)
+    }
+    finally {
+      setIsLoading(false)
+    }
   }
 
   return (
@@ -61,11 +71,11 @@ const ConfigCredential: FC<Props> = ({
       onHide={onCancel}
       title={t('tools.auth.setupModalTitle') as string}
       titleDescription={t('tools.auth.setupModalTitleDescription') as string}
-      panelClassName='mt-2 !w-[405px]'
-      maxWidthClassName='!max-w-[405px]'
-      height='calc(100vh - 16px)'
-      contentClassName='!bg-gray-100'
-      headerClassName='!border-b-black/5'
+      panelClassName='mt-[64px] mb-2 !w-[420px] border-components-panel-border'
+      maxWidthClassName='!max-w-[420px]'
+      height='calc(100vh - 64px)'
+      contentClassName='!bg-components-panel-bg'
+      headerClassName='!border-b-divider-subtle'
       body={
 
         <div className='px-6 py-3 h-full'>
@@ -82,12 +92,12 @@ const ConfigCredential: FC<Props> = ({
                   isEditMode={true}
                   showOnVariableMap={{}}
                   validating={false}
-                  inputClassName='!bg-gray-50'
+                  inputClassName='!bg-components-input-bg-normal'
                   fieldMoreInfo={item => item.url
                     ? (<a
                       href={item.url}
                       target='_blank' rel='noopener noreferrer'
-                      className='inline-flex items-center text-xs text-primary-600'
+                      className='inline-flex items-center text-xs text-text-accent'
                     >
                       {t('tools.howToGet')}
                       <LinkExternal02 className='ml-1 w-3 h-3' />
@@ -102,7 +112,7 @@ const ConfigCredential: FC<Props> = ({
                   }
                   < div className='flex space-x-2'>
                     <Button onClick={onCancel}>{t('common.operation.cancel')}</Button>
-                    <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button>
+                    <Button loading={isLoading || isSaving} disabled={isLoading || isSaving} variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button>
                   </div>
                 </div>
               </>
diff --git a/web/app/components/tools/types.ts b/web/app/components/tools/types.ts
index f2784e9dfe..32c468cde8 100644
--- a/web/app/components/tools/types.ts
+++ b/web/app/components/tools/types.ts
@@ -1,4 +1,5 @@
 import type { TypeWithI18N } from '../header/account-setting/model-provider-page/declarations'
+
 export enum LOC {
   tools = 'tools',
   app = 'app',
@@ -16,10 +17,10 @@ export enum AuthHeaderPrefix {
 }
 
 export type Credential = {
-  'auth_type': AuthType
-  'api_key_header'?: string
-  'api_key_value'?: string
-  'api_key_header_prefix'?: AuthHeaderPrefix
+  auth_type: AuthType
+  api_key_header?: string
+  api_key_value?: string
+  api_key_header_prefix?: AuthHeaderPrefix
 }
 
 export enum CollectionType {
@@ -47,6 +48,8 @@ export type Collection = {
   is_team_authorization: boolean
   allow_delete: boolean
   labels: string[]
+  plugin_id?: string
+  letter?: string
 }
 
 export type ToolParameter = {
@@ -66,6 +69,7 @@ export type ToolParameter = {
   max?: number
 }
 
+// Action
 export type Tool = {
   name: string
   author: string
@@ -73,12 +77,13 @@ export type Tool = {
   description: any
   parameters: ToolParameter[]
   labels: string[]
+  output_schema: Record<string, any>
 }
 
 export type ToolCredential = {
   name: string
   label: TypeWithI18N
-  help: TypeWithI18N
+  help: TypeWithI18N | null
   placeholder: TypeWithI18N
   type: string
   required: boolean
diff --git a/web/app/components/tools/utils/to-form-schema.ts b/web/app/components/tools/utils/to-form-schema.ts
index 4e83248c9b..6dc51e16ad 100644
--- a/web/app/components/tools/utils/to-form-schema.ts
+++ b/web/app/components/tools/utils/to-form-schema.ts
@@ -1,5 +1,5 @@
 import type { ToolCredential, ToolParameter } from '../types'
-const toType = (type: string) => {
+export const toType = (type: string) => {
   switch (type) {
     case 'string':
       return 'text-input'
@@ -63,3 +63,34 @@ export const addDefaultValue = (value: Record<string, any>, formSchemas: { varia
   })
   return newValues
 }
+
+export const generateFormValue = (value: Record<string, any>, formSchemas: { variable: string; default?: any }[], isReasoning = false) => {
+  const newValues = {} as any
+  formSchemas.forEach((formSchema) => {
+    const itemValue = value[formSchema.variable]
+    if ((formSchema.default !== undefined) && (value === undefined || itemValue === null || itemValue === '' || itemValue === undefined)) {
+      newValues[formSchema.variable] = {
+        ...(isReasoning ? { value: null, auto: 1 } : { value: formSchema.default }),
+      }
+    }
+  })
+  return newValues
+}
+
+export const getPlainValue = (value: Record<string, any>) => {
+  const plainValue = { ...value } as any
+  Object.keys(plainValue).forEach((key) => {
+    plainValue[key] = value[key].value
+  })
+  return plainValue
+}
+
+export const getStructureValue = (value: Record<string, any>) => {
+  const newValue = { ...value } as any
+  Object.keys(newValue).forEach((key) => {
+    newValue[key] = {
+      value: value[key],
+    }
+  })
+  return newValue
+}
diff --git a/web/app/components/tools/workflow-tool/configure-button.tsx b/web/app/components/tools/workflow-tool/configure-button.tsx
index 6521410dae..0d97619e0d 100644
--- a/web/app/components/tools/workflow-tool/configure-button.tsx
+++ b/web/app/components/tools/workflow-tool/configure-button.tsx
@@ -14,6 +14,7 @@ import { createWorkflowToolProvider, fetchWorkflowToolDetailByAppID, saveWorkflo
 import type { Emoji, WorkflowToolProviderParameter, WorkflowToolProviderRequest, WorkflowToolProviderResponse } from '@/app/components/tools/types'
 import type { InputVar } from '@/app/components/workflow/types'
 import { useAppContext } from '@/context/app-context'
+import { useInvalidateAllWorkflowTools } from '@/service/use-tools'
 
 type Props = {
   disabled: boolean
@@ -46,6 +47,7 @@ const WorkflowToolConfigureButton = ({
   const [isLoading, setIsLoading] = useState(false)
   const [detail, setDetail] = useState<WorkflowToolProviderResponse>()
   const { isCurrentWorkspaceManager } = useAppContext()
+  const invalidateAllWorkflowTools = useInvalidateAllWorkflowTools()
 
   const outdated = useMemo(() => {
     if (!detail)
@@ -135,6 +137,7 @@ const WorkflowToolConfigureButton = ({
   const createHandle = async (data: WorkflowToolProviderRequest & { workflow_app_id: string }) => {
     try {
       await createWorkflowToolProvider(data)
+      invalidateAllWorkflowTools()
       onRefreshData?.()
       getDetail(workflowAppId)
       Toast.notify({
@@ -156,6 +159,7 @@ const WorkflowToolConfigureButton = ({
       await handlePublish()
       await saveWorkflowToolProvider(data)
       onRefreshData?.()
+      invalidateAllWorkflowTools()
       getDetail(workflowAppId)
       Toast.notify({
         type: 'success',
@@ -170,35 +174,35 @@ const WorkflowToolConfigureButton = ({
 
   return (
     <>
-      <div className='mt-2 pt-2 border-t-[0.5px] border-t-black/5'>
+      <div className='mt-2 pt-2 border-t-[0.5px] border-divider-regular'>
         {(!published || !isLoading) && (
           <div className={cn(
-            'group bg-gray-100 rounded-lg transition-colors',
+            'group bg-background-section-burn rounded-lg transition-colors',
             disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'cursor-pointer',
             !published && 'hover:bg-primary-50',
           )}>
             {isCurrentWorkspaceManager
               ? (
                 <div
-                  className='flex justify-start items-center gap-2 px-2.5 py-2'
+                  className='flex justify-start items-center text-text-primary gap-2 px-2.5 py-2'
                   onClick={() => !published && setShowModal(true)}
                 >
                   <Tools className={cn('relative w-4 h-4', !published && 'group-hover:text-primary-600')} />
                   <div title={t('workflow.common.workflowAsTool') || ''} className={cn('grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate', !published && 'group-hover:text-primary-600')}>{t('workflow.common.workflowAsTool')}</div>
                   {!published && (
-                    <span className='shrink-0 px-1 border border-black/8 rounded-[5px] bg-white text-[10px] font-medium leading-[18px] text-gray-500'>{t('workflow.common.configureRequired').toLocaleUpperCase()}</span>
+                    <span className='shrink-0 px-1 border border-divider-regular rounded-[5px] bg-background-default-subtle text-[10px] font-medium leading-[18px] text-text-tertiary'>{t('workflow.common.configureRequired').toLocaleUpperCase()}</span>
                   )}
                 </div>)
               : (
                 <div
                   className='flex justify-start items-center gap-2 px-2.5 py-2'
                 >
-                  <Tools className='w-4 h-4 text-gray-500' />
-                  <div title={t('workflow.common.workflowAsTool') || ''} className='grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate text-gray-500'>{t('workflow.common.workflowAsTool')}</div>
+                  <Tools className='w-4 h-4 text-text-tertiary' />
+                  <div title={t('workflow.common.workflowAsTool') || ''} className='grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate text-text-tertiary'>{t('workflow.common.workflowAsTool')}</div>
                 </div>
               )}
             {published && (
-              <div className='px-2.5 py-2 border-t-[0.5px] border-black/5'>
+              <div className='px-2.5 py-2 border-t-[0.5px] border-divider-regular'>
                 <div className='flex justify-between'>
                   <Button
                     size='small'
diff --git a/web/app/components/tools/workflow-tool/confirm-modal/index.tsx b/web/app/components/tools/workflow-tool/confirm-modal/index.tsx
index 4c712790a1..21ebe8c119 100644
--- a/web/app/components/tools/workflow-tool/confirm-modal/index.tsx
+++ b/web/app/components/tools/workflow-tool/confirm-modal/index.tsx
@@ -2,7 +2,6 @@
 
 import { useTranslation } from 'react-i18next'
 import { RiCloseLine } from '@remixicon/react'
-import s from './style.module.css'
 import cn from '@/utils/classnames'
 import Button from '@/app/components/base/button'
 import Modal from '@/app/components/base/modal'
@@ -19,24 +18,24 @@ const ConfirmModal = ({ show, onConfirm, onClose }: ConfirmModalProps) => {
 
   return (
     <Modal
-      className={cn('p-8 max-w-[600px] w-[600px]', s.bg)}
+      className={cn('p-8 max-w-[600px] w-[600px]')}
       isShow={show}
       onClose={() => { }}
     >
       <div className='absolute right-4 top-4 p-2 cursor-pointer' onClick={onClose}>
-        <RiCloseLine className='w-4 h-4 text-gray-500' />
+        <RiCloseLine className='w-4 h-4 text-text-tertiary' />
       </div>
-      <div className='w-12 h-12 p-3 bg-white rounded-xl border-[0.5px] border-gray-100 shadow-xl'>
+      <div className='w-12 h-12 p-3 bg-background-section rounded-xl border-[0.5px] border-divider-regular shadow-xl'>
         <AlertTriangle className='w-6 h-6 text-[rgb(247,144,9)]' />
       </div>
-      <div className='relative mt-3 text-xl font-semibold leading-[30px] text-gray-900'>{t('tools.createTool.confirmTitle')}</div>
-      <div className='my-1 text-gray-500 text-sm leading-5'>
+      <div className='relative mt-3 text-xl font-semibold leading-[30px] text-text-primary'>{t('tools.createTool.confirmTitle')}</div>
+      <div className='my-1 text-text-tertiary text-sm leading-5'>
         {t('tools.createTool.confirmTip')}
       </div>
       <div className='pt-6 flex justify-end items-center'>
         <div className='flex items-center'>
           <Button className='mr-2' onClick={onClose}>{t('common.operation.cancel')}</Button>
-          <Button className='border-red-700' variant="warning" onClick={onConfirm}>{t('common.operation.confirm')}</Button>
+          <Button variant="warning" onClick={onConfirm}>{t('common.operation.confirm')}</Button>
         </div>
       </div>
     </Modal>
diff --git a/web/app/components/tools/workflow-tool/confirm-modal/style.module.css b/web/app/components/tools/workflow-tool/confirm-modal/style.module.css
deleted file mode 100644
index 14367ec575..0000000000
--- a/web/app/components/tools/workflow-tool/confirm-modal/style.module.css
+++ /dev/null
@@ -1,3 +0,0 @@
-.bg {
-  background: linear-gradient(180deg, rgba(247, 144, 9, 0.05) 0%, rgba(247, 144, 9, 0.00) 24.41%), #F9FAFB;
-}
diff --git a/web/app/components/tools/workflow-tool/index.tsx b/web/app/components/tools/workflow-tool/index.tsx
index c4d7424538..c4eb07dfe6 100644
--- a/web/app/components/tools/workflow-tool/index.tsx
+++ b/web/app/components/tools/workflow-tool/index.tsx
@@ -39,7 +39,7 @@ const WorkflowToolAsModal: FC<Props> = ({
 }) => {
   const { t } = useTranslation()
 
-  const [showEmojiPicker, setShowEmojiPicker] = useState<Boolean>(false)
+  const [showEmojiPicker, setShowEmojiPicker] = useState<boolean>(false)
   const [emoji, setEmoji] = useState<Emoji>(payload.icon)
   const [label, setLabel] = useState<string>(payload.label)
   const [name, setName] = useState(payload.name)
@@ -124,13 +124,13 @@ const WorkflowToolAsModal: FC<Props> = ({
         panelClassName='mt-2 !w-[640px]'
         maxWidthClassName='!max-w-[640px]'
         height='calc(100vh - 16px)'
-        headerClassName='!border-b-black/5'
+        headerClassName='!border-b-divider'
         body={
           <div className='flex flex-col h-full'>
             <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'>
               {/* name & icon */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div>
                 <div className='flex items-center justify-between gap-3'>
                   <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' iconType='emoji' icon={emoji.content} background={emoji.background} />
                   <Input
@@ -143,7 +143,7 @@ const WorkflowToolAsModal: FC<Props> = ({
               </div>
               {/* name for tool call */}
               <div>
-                <div className='flex items-center py-2 leading-5 text-sm font-medium text-gray-900'>
+                <div className='flex items-center py-2 system-sm-medium text-text-primary'>
                   {t('tools.createTool.nameForToolCall')} <span className='ml-1 text-red-500'>*</span>
                   <Tooltip
                     popupContent={
@@ -165,7 +165,7 @@ const WorkflowToolAsModal: FC<Props> = ({
               </div>
               {/* description */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.description')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.description')}</div>
                 <Textarea
                   placeholder={t('tools.createTool.descriptionPlaceholder') || ''}
                   value={description}
@@ -174,11 +174,11 @@ const WorkflowToolAsModal: FC<Props> = ({
               </div>
               {/* Tool Input  */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.title')}</div>
-                <div className='rounded-lg border border-gray-200 w-full overflow-x-auto'>
-                  <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'>
-                    <thead className='text-gray-500 uppercase'>
-                      <tr className='border-b border-gray-200'>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.title')}</div>
+                <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'>
+                  <table className='w-full leading-[18px] text-xs text-text-secondary font-normal'>
+                    <thead className='text-text-tertiary uppercase'>
+                      <tr className='border-b border-divider-regular'>
                         <th className="p-2 pl-3 font-medium w-[156px]">{t('tools.createTool.toolInput.name')}</th>
                         <th className="p-2 pl-3 font-medium w-[102px]">{t('tools.createTool.toolInput.method')}</th>
                         <th className="p-2 pl-3 font-medium">{t('tools.createTool.toolInput.description')}</th>
@@ -186,22 +186,22 @@ const WorkflowToolAsModal: FC<Props> = ({
                     </thead>
                     <tbody>
                       {parameters.map((item, index) => (
-                        <tr key={index} className='border-b last:border-0 border-gray-200'>
+                        <tr key={index} className='border-b last:border-0 border-divider-regular'>
                           <td className="p-2 pl-3 max-w-[156px]">
                             <div className='text-[13px] leading-[18px]'>
                               <div title={item.name} className='flex'>
-                                <span className='font-medium text-gray-900 truncate'>{item.name}</span>
+                                <span className='font-medium text-text-primary truncate'>{item.name}</span>
                                 <span className='shrink-0 pl-1 text-[#ec4a0a] text-xs leading-[18px]'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span>
                               </div>
-                              <div className='text-gray-500'>{item.type}</div>
+                              <div className='text-text-tertiary'>{item.type}</div>
                             </div>
                           </td>
                           <td>
                             {item.name === '__image' && (
                               <div className={cn(
-                                'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-white cursor-default',
+                                'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-transparent cursor-default',
                               )}>
-                                <div className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate')}>
+                                <div className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate')}>
                                   {t('tools.createTool.toolInput.methodParameter')}
                                 </div>
                               </div>
@@ -210,10 +210,10 @@ const WorkflowToolAsModal: FC<Props> = ({
                               <MethodSelector value={item.form} onChange={value => handleParameterChange('form', value, index)} />
                             )}
                           </td>
-                          <td className="p-2 pl-3 text-gray-500 w-[236px]">
+                          <td className="p-2 pl-3 text-text-tertiary w-[236px]">
                             <input
                               type='text'
-                              className='grow text-gray-700 text-[13px] leading-[18px] font-normal bg-white outline-none appearance-none caret-primary-600 placeholder:text-gray-300'
+                              className='w-full text-text-secondary text-[13px] leading-[18px] font-normal bg-transparent outline-none appearance-none caret-primary-600 placeholder:text-text-quaternary'
                               placeholder={t('tools.createTool.toolInput.descriptionPlaceholder')!}
                               value={item.description}
                               onChange={e => handleParameterChange('description', e.target.value, index)}
@@ -227,12 +227,12 @@ const WorkflowToolAsModal: FC<Props> = ({
               </div>
               {/* Tags */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.label')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div>
                 <LabelSelector value={labels} onChange={handleLabelSelect} />
               </div>
               {/* Privacy Policy */}
               <div>
-                <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.privacyPolicy')}</div>
+                <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div>
                 <Input
                   className='h-10'
                   value={privacyPolicy}
@@ -240,9 +240,9 @@ const WorkflowToolAsModal: FC<Props> = ({
                   placeholder={t('tools.createTool.privacyPolicyPlaceholder') || ''} />
               </div>
             </div>
-            <div className={cn((!isAdd && onRemove) ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-gray-50 border-t border-black/5')} >
+            <div className={cn((!isAdd && onRemove) ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} >
               {!isAdd && onRemove && (
-                <Button onClick={onRemove} className='text-red-500 border-red-50 hover:border-red-500'>{t('common.operation.delete')}</Button>
+                <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button>
               )}
               <div className='flex space-x-2 '>
                 <Button onClick={onHide}>{t('common.operation.cancel')}</Button>
diff --git a/web/app/components/tools/workflow-tool/method-selector.tsx b/web/app/components/tools/workflow-tool/method-selector.tsx
index 1f11430570..895fb18706 100644
--- a/web/app/components/tools/workflow-tool/method-selector.tsx
+++ b/web/app/components/tools/workflow-tool/method-selector.tsx
@@ -34,37 +34,37 @@ const MethodSelector: FC<MethodSelectorProps> = ({
           className='block'
         >
           <div className={cn(
-            'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-white cursor-pointer hover:bg-gray-100',
-            open && '!bg-gray-100 hover:bg-gray-100',
+            'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-transparent cursor-pointer hover:bg-background-section-burn',
+            open && '!bg-background-section-burn hover:bg-background-section-burn',
           )}>
-            <div className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate')}>
+            <div className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate')}>
               {value === 'llm' ? t('tools.createTool.toolInput.methodParameter') : t('tools.createTool.toolInput.methodSetting')}
             </div>
-            <div className='shrink-0 ml-1 text-gray-700 opacity-60'>
+            <div className='shrink-0 ml-1 text-text-secondary opacity-60'>
               <RiArrowDownSLine className='h-4 w-4' />
             </div>
           </div>
         </PortalToFollowElemTrigger>
         <PortalToFollowElemContent className='z-[1040]'>
-          <div className='relative w-[320px] bg-white rounded-lg border-[0.5px] border-gray-200  shadow-lg'>
+          <div className='relative w-[320px] bg-components-panel-bg-blur backdrop-blur-sm rounded-lg border-[0.5px] border-components-panel-border  shadow-lg'>
             <div className='p-1'>
-              <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => onChange('llm')}>
+              <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer' onClick={() => onChange('llm')}>
                 <div className='flex item-center gap-1'>
                   <div className='shrink-0 w-4 h-4'>
-                    {value === 'llm' && <Check className='shrink-0 w-4 h-4 text-primary-600' />}
+                    {value === 'llm' && <Check className='shrink-0 w-4 h-4 text-text-accent' />}
                   </div>
-                  <div className='text-[13px] text-gray-700 font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodParameter')}</div>
+                  <div className='text-[13px] text-text-secondary font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodParameter')}</div>
                 </div>
-                <div className='pl-5 text-gray-500 text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodParameterTip')}</div>
+                <div className='pl-5 text-text-tertiary text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodParameterTip')}</div>
               </div>
-              <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => onChange('form')}>
+              <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer' onClick={() => onChange('form')}>
                 <div className='flex item-center gap-1'>
                   <div className='shrink-0 w-4 h-4'>
-                    {value === 'form' && <Check className='shrink-0 w-4 h-4 text-primary-600' />}
+                    {value === 'form' && <Check className='shrink-0 w-4 h-4 text-text-accent' />}
                   </div>
-                  <div className='text-[13px] text-gray-700 font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodSetting')}</div>
+                  <div className='text-[13px] text-text-secondary font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodSetting')}</div>
                 </div>
-                <div className='pl-5 text-gray-500 text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodSettingTip')}</div>
+                <div className='pl-5 text-text-tertiary text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodSettingTip')}</div>
               </div>
             </div>
           </div>
diff --git a/web/app/components/workflow/block-icon.tsx b/web/app/components/workflow/block-icon.tsx
index 1001e981c5..7f7aeca092 100644
--- a/web/app/components/workflow/block-icon.tsx
+++ b/web/app/components/workflow/block-icon.tsx
@@ -2,6 +2,7 @@ import type { FC } from 'react'
 import { memo } from 'react'
 import { BlockEnum } from './types'
 import {
+  Agent,
   Answer,
   Assigner,
   Code,
@@ -53,6 +54,7 @@ const getIcon = (type: BlockEnum, className: string) => {
     [BlockEnum.ParameterExtractor]: <ParameterExtractor className={className} />,
     [BlockEnum.DocExtractor]: <DocsExtractor className={className} />,
     [BlockEnum.ListFilter]: <ListFilter className={className} />,
+    [BlockEnum.Agent]: <Agent className={className} />,
   }[type]
 }
 const ICON_CONTAINER_BG_COLOR_MAP: Record<string, string> = {
@@ -73,6 +75,7 @@ const ICON_CONTAINER_BG_COLOR_MAP: Record<string, string> = {
   [BlockEnum.ParameterExtractor]: 'bg-util-colors-blue-blue-500',
   [BlockEnum.DocExtractor]: 'bg-util-colors-green-green-500',
   [BlockEnum.ListFilter]: 'bg-util-colors-cyan-cyan-500',
+  [BlockEnum.Agent]: 'bg-util-colors-indigo-indigo-500',
 }
 const BlockIcon: FC<BlockIconProps> = ({
   type,
diff --git a/web/app/components/workflow/block-selector/all-tools.tsx b/web/app/components/workflow/block-selector/all-tools.tsx
index aaa3811251..6f287e2f4f 100644
--- a/web/app/components/workflow/block-selector/all-tools.tsx
+++ b/web/app/components/workflow/block-selector/all-tools.tsx
@@ -1,35 +1,61 @@
 import {
+  useEffect,
   useMemo,
+  useRef,
   useState,
 } from 'react'
 import type {
   OnSelectBlock,
   ToolWithProvider,
 } from '../types'
-import { useStore } from '../store'
+import type { ToolValue } from './types'
 import { ToolTypeEnum } from './types'
 import Tools from './tools'
 import { useToolTabs } from './hooks'
+import ViewTypeSelect, { ViewType } from './view-type-select'
 import cn from '@/utils/classnames'
+import { useGetLanguage } from '@/context/i18n'
+import PluginList from '@/app/components/workflow/block-selector/market-place-plugin/list'
+import ActionButton from '../../base/action-button'
+import { RiAddLine } from '@remixicon/react'
+import { PluginType } from '../../plugins/types'
+import { useMarketplacePlugins } from '../../plugins/marketplace/hooks'
 
 type AllToolsProps = {
+  className?: string
+  toolContentClassName?: string
   searchText: string
+  tags: string[]
+  buildInTools: ToolWithProvider[]
+  customTools: ToolWithProvider[]
+  workflowTools: ToolWithProvider[]
   onSelect: OnSelectBlock
+  supportAddCustomTool?: boolean
+  onAddedCustomTool?: () => void
+  onShowAddCustomCollectionModal?: () => void
+  selectedTools?: ToolValue[]
 }
 const AllTools = ({
+  className,
+  toolContentClassName,
   searchText,
+  tags = [],
   onSelect,
+  buildInTools,
+  workflowTools,
+  customTools,
+  supportAddCustomTool,
+  onShowAddCustomCollectionModal,
+  selectedTools,
 }: AllToolsProps) => {
+  const language = useGetLanguage()
   const tabs = useToolTabs()
   const [activeTab, setActiveTab] = useState(ToolTypeEnum.All)
-  const buildInTools = useStore(s => s.buildInTools)
-  const customTools = useStore(s => s.customTools)
-  const workflowTools = useStore(s => s.workflowTools)
-
+  const [activeView, setActiveView] = useState<ViewType>(ViewType.flat)
+  const hasFilter = searchText || tags.length > 0
   const isMatchingKeywords = (text: string, keywords: string) => {
     return text.toLowerCase().includes(keywords.toLowerCase())
   }
-
   const tools = useMemo(() => {
     let mergedTools: ToolWithProvider[] = []
     if (activeTab === ToolTypeEnum.All)
@@ -41,39 +67,91 @@ const AllTools = ({
     if (activeTab === ToolTypeEnum.Workflow)
       mergedTools = workflowTools
 
+    if (!hasFilter)
+      return mergedTools.filter(toolWithProvider => toolWithProvider.tools.length > 0)
+
     return mergedTools.filter((toolWithProvider) => {
-      return isMatchingKeywords(toolWithProvider.name, searchText)
-        || toolWithProvider.tools.some((tool) => {
-          return Object.values(tool.label).some((label) => {
-            return isMatchingKeywords(label, searchText)
-          })
-        })
+      return isMatchingKeywords(toolWithProvider.name, searchText) || toolWithProvider.tools.some((tool) => {
+        return tool.label[language].toLowerCase().includes(searchText.toLowerCase()) || tool.name.toLowerCase().includes(searchText.toLowerCase())
+      })
     })
-  }, [activeTab, buildInTools, customTools, workflowTools, searchText])
+  }, [activeTab, buildInTools, customTools, workflowTools, searchText, language, hasFilter])
+
+  const {
+    queryPluginsWithDebounced: fetchPlugins,
+    plugins: notInstalledPlugins = [],
+  } = useMarketplacePlugins()
+
+  useEffect(() => {
+    if (searchText || tags.length > 0) {
+      fetchPlugins({
+        query: searchText,
+        tags,
+        category: PluginType.tool,
+      })
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [searchText, tags])
+
+  const pluginRef = useRef(null)
+  const wrapElemRef = useRef<HTMLDivElement>(null)
+
   return (
-    <div>
-      <div className='flex items-center px-3 h-8 space-x-1 bg-background-default-hover border-b-[0.5px] border-divider-subtle shadow-xs'>
-        {
-          tabs.map(tab => (
-            <div
-              className={cn(
-                'flex items-center px-2 h-6 rounded-md hover:bg-state-base-hover-alt cursor-pointer',
-                'system-xs-medium text-text-tertiary',
-                activeTab === tab.key && 'system-xs-semibold bg-state-base-hover-alt text-text-primary',
-              )}
-              key={tab.key}
-              onClick={() => setActiveTab(tab.key)}
+    <div className={cn(className)}>
+      <div className='flex items-center justify-between px-3 bg-background-default-hover border-b-[0.5px] border-divider-subtle shadow-xs'>
+        <div className='flex items-center h-8 space-x-1'>
+          {
+            tabs.map(tab => (
+              <div
+                className={cn(
+                  'flex items-center px-2 h-6 rounded-md hover:bg-state-base-hover cursor-pointer',
+                  'text-xs font-medium text-text-secondary',
+                  activeTab === tab.key && 'bg-state-base-hover-alt',
+                )}
+                key={tab.key}
+                onClick={() => setActiveTab(tab.key)}
+              >
+                {tab.name}
+              </div>
+            ))
+          }
+        </div>
+        <ViewTypeSelect viewType={activeView} onChange={setActiveView} />
+        {supportAddCustomTool && (
+          <div className='flex items-center'>
+            <div className='mr-1.5 w-px h-3.5  bg-divider-regular'></div>
+            <ActionButton
+              className='bg-components-button-primary-bg hover:bg-components-button-primary-bg text-components-button-primary-text hover:text-components-button-primary-text'
+              onClick={onShowAddCustomCollectionModal}
             >
-              {tab.name}
-            </div>
-          ))
-        }
+              <RiAddLine className='w-4 h-4' />
+            </ActionButton>
+          </div>
+        )}
+      </div>
+      <div
+        ref={wrapElemRef}
+        className='max-h-[464px] overflow-y-auto'
+        onScroll={(pluginRef.current as any)?.handleScroll}
+      >
+        <Tools
+          className={toolContentClassName}
+          showWorkflowEmpty={activeTab === ToolTypeEnum.Workflow}
+          tools={tools}
+          onSelect={onSelect}
+          viewType={activeView}
+          hasSearchText={!!searchText}
+          selectedTools={selectedTools}
+        />
+        {/* Plugins from marketplace */}
+        <PluginList
+          wrapElemRef={wrapElemRef}
+          list={notInstalledPlugins as any} ref={pluginRef}
+          searchText={searchText}
+          toolContentClassName={toolContentClassName}
+          tags={tags}
+        />
       </div>
-      <Tools
-        showWorkflowEmpty={activeTab === ToolTypeEnum.Workflow}
-        tools={tools}
-        onSelect={onSelect}
-      />
     </div>
   )
 }
diff --git a/web/app/components/workflow/block-selector/constants.tsx b/web/app/components/workflow/block-selector/constants.tsx
index 2849288404..798e7ae3c5 100644
--- a/web/app/components/workflow/block-selector/constants.tsx
+++ b/web/app/components/workflow/block-selector/constants.tsx
@@ -84,6 +84,11 @@ export const BLOCKS: Block[] = [
     type: BlockEnum.ListFilter,
     title: 'List Filter',
   },
+  {
+    classification: BlockClassificationEnum.Default,
+    type: BlockEnum.Agent,
+    title: 'Agent',
+  },
 ]
 
 export const BLOCK_CLASSIFICATIONS: string[] = [
diff --git a/web/app/components/workflow/block-selector/hooks.ts b/web/app/components/workflow/block-selector/hooks.ts
index 592954afa3..a8b1759506 100644
--- a/web/app/components/workflow/block-selector/hooks.ts
+++ b/web/app/components/workflow/block-selector/hooks.ts
@@ -41,7 +41,7 @@ export const useToolTabs = () => {
     },
     {
       key: ToolTypeEnum.BuiltIn,
-      name: t('workflow.tabs.builtInTool'),
+      name: t('workflow.tabs.plugin'),
     },
     {
       key: ToolTypeEnum.Custom,
diff --git a/web/app/components/workflow/block-selector/index-bar.tsx b/web/app/components/workflow/block-selector/index-bar.tsx
index 2a4cbad432..8d4b3de10e 100644
--- a/web/app/components/workflow/block-selector/index-bar.tsx
+++ b/web/app/components/workflow/block-selector/index-bar.tsx
@@ -1,8 +1,29 @@
 import { pinyin } from 'pinyin-pro'
 import type { FC, RefObject } from 'react'
+import type { ToolWithProvider } from '../types'
+import { CollectionType } from '../../tools/types'
+import classNames from '@/utils/classnames'
 
-export const groupItems = (items: Array<any>, getFirstChar: (item: string) => string) => {
-  const groups = items.reduce((acc, item) => {
+export const CUSTOM_GROUP_NAME = '@@@custom@@@'
+export const WORKFLOW_GROUP_NAME = '@@@workflow@@@'
+export const AGENT_GROUP_NAME = '@@@agent@@@'
+/*
+{
+  A: {
+    'google': [ // plugin organize name
+      ...tools
+    ],
+    'custom': [ // custom tools
+      ...tools
+    ],
+    'workflow': [ // workflow as tools
+      ...tools
+    ]
+  }
+}
+*/
+export const groupItems = (items: ToolWithProvider[], getFirstChar: (item: ToolWithProvider) => string) => {
+  const groups = items.reduce((acc: Record<string, Record<string, ToolWithProvider[]>>, item) => {
     const firstChar = getFirstChar(item)
     if (!firstChar || firstChar.length === 0)
       return acc
@@ -19,9 +40,23 @@ export const groupItems = (items: Array<any>, getFirstChar: (item: string) => st
       letter = '#'
 
     if (!acc[letter])
-      acc[letter] = []
+      acc[letter] = {}
+
+    let groupName: string = ''
+    if (item.type === CollectionType.builtIn)
+      groupName = item.author
+    else if (item.type === CollectionType.custom)
+      groupName = CUSTOM_GROUP_NAME
+    else if (item.type === CollectionType.workflow)
+      groupName = WORKFLOW_GROUP_NAME
+    else
+      groupName = AGENT_GROUP_NAME
+
+    if (!acc[letter][groupName])
+      acc[letter][groupName] = []
+
+    acc[letter][groupName].push(item)
 
-    acc[letter].push(item)
     return acc
   }, {})
 
@@ -38,16 +73,18 @@ export const groupItems = (items: Array<any>, getFirstChar: (item: string) => st
 type IndexBarProps = {
   letters: string[]
   itemRefs: RefObject<{ [key: string]: HTMLElement | null }>
+  className?: string
 }
 
-const IndexBar: FC<IndexBarProps> = ({ letters, itemRefs }) => {
+const IndexBar: FC<IndexBarProps> = ({ letters, itemRefs, className }) => {
   const handleIndexClick = (letter: string) => {
     const element = itemRefs.current?.[letter]
     if (element)
       element.scrollIntoView({ behavior: 'smooth' })
   }
   return (
-    <div className="index-bar fixed right-4 top-36 flex flex-col items-center text-xs font-medium text-text-quaternary">
+    <div className={classNames('index-bar absolute right-0 top-36 flex flex-col items-center w-6 justify-center text-xs font-medium text-text-quaternary', className)}>
+      <div className='absolute left-0 top-0 h-full w-px bg-[linear-gradient(270deg,rgba(255,255,255,0)_0%,rgba(16,24,40,0.08)_30%,rgba(16,24,40,0.08)_50%,rgba(16,24,40,0.08)_70.5%,rgba(255,255,255,0)_100%)]'></div>
       {letters.map(letter => (
         <div className="hover:text-text-secondary cursor-pointer" key={letter} onClick={() => handleIndexClick(letter)}>
           {letter}
diff --git a/web/app/components/workflow/block-selector/index.tsx b/web/app/components/workflow/block-selector/index.tsx
index dc93c275f2..659a7694a8 100644
--- a/web/app/components/workflow/block-selector/index.tsx
+++ b/web/app/components/workflow/block-selector/index.tsx
@@ -22,6 +22,8 @@ import {
   PortalToFollowElemTrigger,
 } from '@/app/components/base/portal-to-follow-elem'
 import Input from '@/app/components/base/input'
+import SearchBox from '@/app/components/plugins/marketplace/search-box'
+
 import {
   Plus02,
 } from '@/app/components/base/icons/src/vender/line/general'
@@ -61,6 +63,7 @@ const NodeSelector: FC<NodeSelectorProps> = ({
 }) => {
   const { t } = useTranslation()
   const [searchText, setSearchText] = useState('')
+  const [tags, setTags] = useState<string[]>([])
   const [localOpen, setLocalOpen] = useState(false)
   const open = openFromProps === undefined ? localOpen : openFromProps
   const handleOpenChange = useCallback((newOpen: boolean) => {
@@ -126,25 +129,37 @@ const NodeSelector: FC<NodeSelectorProps> = ({
         }
       </PortalToFollowElemTrigger>
       <PortalToFollowElemContent className='z-[1000]'>
-        <div className={
-          classNames(`rounded-lg border-[0.5px] backdrop-blur-[5px]
-          border-components-panel-border bg-components-panel-bg-blur shadow-lg`, popupClassName)}>
-          <div className='p-2 pb-1' onClick={e => e.stopPropagation()}>
-            <Input
-              showLeftIcon
-              showClearIcon
-              autoFocus
-              value={searchText}
-              placeholder={searchPlaceholder}
-              onChange={e => setSearchText(e.target.value)}
-              onClear={() => setSearchText('')}
-            />
+        <div className={`rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg ${popupClassName}`}>
+          <div className='px-2 pt-2' onClick={e => e.stopPropagation()}>
+            {activeTab === TabsEnum.Blocks && (
+              <Input
+                showLeftIcon
+                showClearIcon
+                autoFocus
+                value={searchText}
+                placeholder={searchPlaceholder}
+                onChange={e => setSearchText(e.target.value)}
+                onClear={() => setSearchText('')}
+              />
+            )}
+            {activeTab === TabsEnum.Tools && (
+              <SearchBox
+                search={searchText}
+                onSearchChange={setSearchText}
+                tags={tags}
+                onTagsChange={setTags}
+                size='small'
+                placeholder={t('plugin.searchTools')!}
+              />
+            )}
+
           </div>
           <Tabs
             activeTab={activeTab}
             onActiveTabChange={handleActiveTabChange}
             onSelect={handleSelect}
             searchText={searchText}
+            tags={tags}
             availableBlocksTypes={availableBlocksTypes}
             noBlocks={noBlocks}
           />
diff --git a/web/app/components/workflow/block-selector/market-place-plugin/action.tsx b/web/app/components/workflow/block-selector/market-place-plugin/action.tsx
new file mode 100644
index 0000000000..f4a9668c3e
--- /dev/null
+++ b/web/app/components/workflow/block-selector/market-place-plugin/action.tsx
@@ -0,0 +1,87 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback, useEffect, useRef, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { RiMoreFill } from '@remixicon/react'
+import ActionButton from '@/app/components/base/action-button'
+// import Button from '@/app/components/base/button'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import cn from '@/utils/classnames'
+import { MARKETPLACE_URL_PREFIX } from '@/config'
+import { useDownloadPlugin } from '@/service/use-plugins'
+import { downloadFile } from '@/utils/format'
+
+type Props = {
+  open: boolean
+  onOpenChange: (v: boolean) => void
+  author: string
+  name: string
+  version: string
+}
+
+const OperationDropdown: FC<Props> = ({
+  open,
+  onOpenChange,
+  author,
+  name,
+  version,
+}) => {
+  const { t } = useTranslation()
+  const openRef = useRef(open)
+  const setOpen = useCallback((v: boolean) => {
+    onOpenChange(v)
+    openRef.current = v
+  }, [onOpenChange])
+
+  const handleTrigger = useCallback(() => {
+    setOpen(!openRef.current)
+  }, [setOpen])
+
+  const [needDownload, setNeedDownload] = useState(false)
+  const { data: blob, isLoading } = useDownloadPlugin({
+    organization: author,
+    pluginName: name,
+    version,
+  }, needDownload)
+  const handleDownload = useCallback(() => {
+    if (isLoading) return
+    setNeedDownload(true)
+  }, [isLoading])
+
+  useEffect(() => {
+    if (blob) {
+      const fileName = `${author}-${name}_${version}.zip`
+      downloadFile({ data: blob, fileName })
+      setNeedDownload(false)
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [blob])
+  return (
+    <PortalToFollowElem
+      open={open}
+      onOpenChange={setOpen}
+      placement='bottom-end'
+      offset={{
+        mainAxis: 0,
+        crossAxis: 0,
+      }}
+    >
+      <PortalToFollowElemTrigger onClick={handleTrigger}>
+        <ActionButton className={cn(open && 'bg-state-base-hover')}>
+          <RiMoreFill className='w-4 h-4 text-components-button-secondary-accent-text' />
+        </ActionButton>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent className='z-[9999]'>
+        <div className='w-[112px] p-1 bg-components-panel-bg-blur rounded-xl border-[0.5px] border-components-panel-border shadow-lg'>
+          <div onClick={handleDownload} className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'>{t('common.operation.download')}</div>
+          <a href={`${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}`} target='_blank' className='block px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'>{t('common.operation.viewDetails')}</a>
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+export default React.memo(OperationDropdown)
diff --git a/web/app/components/workflow/block-selector/market-place-plugin/item.tsx b/web/app/components/workflow/block-selector/market-place-plugin/item.tsx
new file mode 100644
index 0000000000..ebe4da73f8
--- /dev/null
+++ b/web/app/components/workflow/block-selector/market-place-plugin/item.tsx
@@ -0,0 +1,77 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useContext } from 'use-context-selector'
+import { useTranslation } from 'react-i18next'
+import Action from './action'
+import type { Plugin } from '@/app/components/plugins/types.ts'
+import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace'
+import I18n from '@/context/i18n'
+import cn from '@/utils/classnames'
+
+import { formatNumber } from '@/utils/format'
+import { useBoolean } from 'ahooks'
+
+enum ActionType {
+  install = 'install',
+  download = 'download',
+  // viewDetail = 'viewDetail', // wait for marketplace api
+}
+type Props = {
+  payload: Plugin
+  onAction: (type: ActionType) => void
+}
+
+const Item: FC<Props> = ({
+  payload,
+}) => {
+  const { t } = useTranslation()
+  const [open, setOpen] = React.useState(false)
+  const { locale } = useContext(I18n)
+  const getLocalizedText = (obj: Record<string, string> | undefined) =>
+    obj?.[locale] || obj?.['en-US'] || obj?.en_US || ''
+  const [isShowInstallModal, {
+    setTrue: showInstallModal,
+    setFalse: hideInstallModal,
+  }] = useBoolean(false)
+
+  return (
+    <div className='group/plugin flex rounded-lg py-1 pr-1 pl-3 hover:bg-state-base-hover'>
+      <div
+        className='shrink-0 relative w-6 h-6 border-[0.5px] border-components-panel-border-subtle rounded-md bg-center bg-no-repeat bg-contain'
+        style={{ backgroundImage: `url(${payload.icon})` }}
+      />
+      <div className='ml-2 w-0 grow flex'>
+        <div className='w-0 grow'>
+          <div className='h-4 leading-4 text-text-primary system-sm-medium truncate '>{getLocalizedText(payload.label)}</div>
+          <div className='h-5 leading-5 text-text-tertiary system-xs-regular truncate'>{getLocalizedText(payload.brief)}</div>
+          <div className='flex text-text-tertiary system-xs-regular space-x-1'>
+            <div>{payload.org}</div>
+            <div>·</div>
+            <div>{t('plugin.install', { num: formatNumber(payload.install_count || 0) })}</div>
+          </div>
+        </div>
+        {/* Action */}
+        <div className={cn(!open ? 'hidden' : 'flex', 'group-hover/plugin:flex  items-center space-x-1 h-4 text-components-button-secondary-accent-text system-xs-medium')}>
+          <div className='px-1.5 cursor-pointer' onClick={showInstallModal}>{t('plugin.installAction')}</div>
+          <Action
+            open={open}
+            onOpenChange={setOpen}
+            author={payload.org}
+            name={payload.name}
+            version={payload.latest_version}
+          />
+        </div>
+        {isShowInstallModal && (
+          <InstallFromMarketplace
+            uniqueIdentifier={payload.latest_package_identifier}
+            manifest={payload}
+            onSuccess={hideInstallModal}
+            onClose={hideInstallModal}
+          />
+        )}
+      </div>
+    </div>
+  )
+}
+export default React.memo(Item)
diff --git a/web/app/components/workflow/block-selector/market-place-plugin/list.tsx b/web/app/components/workflow/block-selector/market-place-plugin/list.tsx
new file mode 100644
index 0000000000..0c381c2a39
--- /dev/null
+++ b/web/app/components/workflow/block-selector/market-place-plugin/list.tsx
@@ -0,0 +1,129 @@
+'use client'
+import React, { forwardRef, useEffect, useImperativeHandle, useMemo, useRef } from 'react'
+import { useTranslation } from 'react-i18next'
+import useStickyScroll, { ScrollPosition } from '../use-sticky-scroll'
+import Item from './item'
+import type { Plugin } from '@/app/components/plugins/types.ts'
+import cn from '@/utils/classnames'
+import Link from 'next/link'
+import { marketplaceUrlPrefix } from '@/config'
+import { RiArrowRightUpLine, RiSearchLine } from '@remixicon/react'
+// import { RiArrowRightUpLine } from '@remixicon/react'
+
+type Props = {
+  wrapElemRef: React.RefObject<HTMLElement>
+  list: Plugin[]
+  searchText: string
+  tags: string[]
+  toolContentClassName?: string
+  disableMaxWidth?: boolean
+}
+
+const List = forwardRef<{ handleScroll: () => void }, Props>(({
+  wrapElemRef,
+  searchText,
+  tags,
+  list,
+  toolContentClassName,
+  disableMaxWidth = false,
+}, ref) => {
+  const { t } = useTranslation()
+  const hasFilter = !searchText
+  const hasRes = list.length > 0
+  const urlWithSearchText = `${marketplaceUrlPrefix}/?q=${searchText}&tags=${tags.join(',')}`
+  const nextToStickyELemRef = useRef<HTMLDivElement>(null)
+
+  const { handleScroll, scrollPosition } = useStickyScroll({
+    wrapElemRef,
+    nextToStickyELemRef,
+  })
+  const stickyClassName = useMemo(() => {
+    switch (scrollPosition) {
+      case ScrollPosition.aboveTheWrap:
+        return 'top-0 h-9 pt-3 pb-2 shadow-xs bg-components-panel-bg-blur cursor-pointer'
+      case ScrollPosition.showing:
+        return 'bottom-0 pt-3 pb-1'
+      case ScrollPosition.belowTheWrap:
+        return 'bottom-0 items-center rounded-b-xl border-t border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg rounded-b-lg cursor-pointer'
+    }
+  }, [scrollPosition])
+
+  useImperativeHandle(ref, () => ({
+    handleScroll,
+  }))
+
+  useEffect(() => {
+    handleScroll()
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [list])
+
+  const handleHeadClick = () => {
+    if (scrollPosition === ScrollPosition.belowTheWrap) {
+      nextToStickyELemRef.current?.scrollIntoView({ behavior: 'smooth', block: 'start' })
+      return
+    }
+    window.open(urlWithSearchText, '_blank')
+  }
+
+  if (hasFilter) {
+    return (
+      <Link
+        className='sticky bottom-0 z-10 flex h-8 px-4 py-1 system-sm-medium items-center border-t border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-b-lg shadow-lg text-text-accent-light-mode-only cursor-pointer'
+        href={`${marketplaceUrlPrefix}/`}
+        target='_blank'
+      >
+        <span>{t('plugin.findMoreInMarketplace')}</span>
+        <RiArrowRightUpLine className='ml-0.5 w-3 h-3' />
+      </Link>
+    )
+  }
+
+  const maxWidthClassName = toolContentClassName || 'max-w-[300px]'
+
+  return (
+    <>
+      {hasRes && (
+        <div
+          className={cn('sticky z-10 flex justify-between h-8 px-4 py-1 text-text-primary system-sm-medium cursor-pointer', stickyClassName, !disableMaxWidth && maxWidthClassName)}
+          onClick={handleHeadClick}
+        >
+          <span>{t('plugin.fromMarketplace')}</span>
+          <Link
+            href={urlWithSearchText}
+            target='_blank'
+            className='flex items-center text-text-accent-light-mode-only'
+            onClick={e => e.stopPropagation()}
+          >
+            <span>{t('plugin.searchInMarketplace')}</span>
+            <RiArrowRightUpLine className='ml-0.5 w-3 h-3' />
+          </Link>
+        </div>
+      )}
+      <div className={cn('p-1', !disableMaxWidth && maxWidthClassName)} ref={nextToStickyELemRef}>
+        {list.map((item, index) => (
+          <Item
+            key={index}
+            payload={item}
+            onAction={() => { }}
+          />
+        ))}
+        <div className='mt-2 mb-3 flex items-center justify-center space-x-2'>
+          <div className="w-[90px] h-[2px] bg-gradient-to-l from-[rgba(16,24,40,0.08)] to-[rgba(255,255,255,0.01)]"></div>
+          <Link
+            href={urlWithSearchText}
+            target='_blank'
+            className='shrink-0 flex items-center h-4 system-sm-medium text-text-accent-light-mode-only'
+          >
+            <RiSearchLine className='mr-0.5 w-3 h-3' />
+            <span>{t('plugin.searchInMarketplace')}</span>
+          </Link>
+          <div className="w-[90px] h-[2px] bg-gradient-to-l from-[rgba(255,255,255,0.01)] to-[rgba(16,24,40,0.08)]"></div>
+        </div>
+      </div>
+    </>
+  )
+})
+
+List.displayName = 'List'
+
+export default List
diff --git a/web/app/components/workflow/block-selector/tabs.tsx b/web/app/components/workflow/block-selector/tabs.tsx
index 12fde56533..d689773518 100644
--- a/web/app/components/workflow/block-selector/tabs.tsx
+++ b/web/app/components/workflow/block-selector/tabs.tsx
@@ -1,5 +1,6 @@
 import type { FC } from 'react'
 import { memo } from 'react'
+import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools } from '@/service/use-tools'
 import type { BlockEnum } from '../types'
 import { useTabs } from './hooks'
 import type { ToolDefaultValue } from './types'
@@ -12,6 +13,7 @@ export type TabsProps = {
   activeTab: TabsEnum
   onActiveTabChange: (activeTab: TabsEnum) => void
   searchText: string
+  tags: string[]
   onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
   availableBlocksTypes?: BlockEnum[]
   noBlocks?: boolean
@@ -19,12 +21,16 @@ export type TabsProps = {
 const Tabs: FC<TabsProps> = ({
   activeTab,
   onActiveTabChange,
+  tags,
   searchText,
   onSelect,
   availableBlocksTypes,
   noBlocks,
 }) => {
   const tabs = useTabs()
+  const { data: buildInTools } = useAllBuiltInTools()
+  const { data: customTools } = useAllCustomTools()
+  const { data: workflowTools } = useAllWorkflowTools()
 
   return (
     <div onClick={e => e.stopPropagation()}>
@@ -62,8 +68,13 @@ const Tabs: FC<TabsProps> = ({
       {
         activeTab === TabsEnum.Tools && (
           <AllTools
+            className='w-[315px]'
             searchText={searchText}
             onSelect={onSelect}
+            tags={tags}
+            buildInTools={buildInTools || []}
+            customTools={customTools || []}
+            workflowTools={workflowTools || []}
           />
         )
       }
diff --git a/web/app/components/workflow/block-selector/tool-picker.tsx b/web/app/components/workflow/block-selector/tool-picker.tsx
new file mode 100644
index 0000000000..4ba670cf0e
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool-picker.tsx
@@ -0,0 +1,176 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import { useMemo, useState } from 'react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import type {
+  OffsetOptions,
+  Placement,
+} from '@floating-ui/react'
+import AllTools from '@/app/components/workflow/block-selector/all-tools'
+import type { ToolDefaultValue, ToolValue } from './types'
+import type { BlockEnum } from '@/app/components/workflow/types'
+import SearchBox from '@/app/components/plugins/marketplace/search-box'
+import { useTranslation } from 'react-i18next'
+import { useBoolean } from 'ahooks'
+import EditCustomToolModal from '@/app/components/tools/edit-custom-collection-modal/modal'
+import {
+  createCustomCollection,
+} from '@/service/tools'
+import type { CustomCollectionBackend } from '@/app/components/tools/types'
+import Toast from '@/app/components/base/toast'
+import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools, useInvalidateAllCustomTools } from '@/service/use-tools'
+import cn from '@/utils/classnames'
+
+type Props = {
+  panelClassName?: string
+  disabled: boolean
+  trigger: React.ReactNode
+  placement?: Placement
+  offset?: OffsetOptions
+  isShow: boolean
+  onShowChange: (isShow: boolean) => void
+  onSelect: (tool: ToolDefaultValue) => void
+  supportAddCustomTool?: boolean
+  scope?: string
+  selectedTools?: ToolValue[]
+}
+
+const ToolPicker: FC<Props> = ({
+  disabled,
+  trigger,
+  placement = 'right-start',
+  offset = 0,
+  isShow,
+  onShowChange,
+  onSelect,
+  supportAddCustomTool,
+  scope = 'all',
+  selectedTools,
+  panelClassName,
+}) => {
+  const { t } = useTranslation()
+  const [searchText, setSearchText] = useState('')
+  const [tags, setTags] = useState<string[]>([])
+
+  const { data: buildInTools } = useAllBuiltInTools()
+  const { data: customTools } = useAllCustomTools()
+  const invalidateCustomTools = useInvalidateAllCustomTools()
+  const { data: workflowTools } = useAllWorkflowTools()
+
+  const { builtinToolList, customToolList, workflowToolList } = useMemo(() => {
+    if (scope === 'plugins') {
+      return {
+        builtinToolList: buildInTools,
+        customToolList: [],
+        workflowToolList: [],
+      }
+    }
+    if (scope === 'custom') {
+      return {
+        builtinToolList: [],
+        customToolList: customTools,
+        workflowToolList: [],
+      }
+    }
+    if (scope === 'workflow') {
+      return {
+        builtinToolList: [],
+        customToolList: [],
+        workflowToolList: workflowTools,
+      }
+    }
+    return {
+      builtinToolList: buildInTools,
+      customToolList: customTools,
+      workflowToolList: workflowTools,
+    }
+  }, [scope, buildInTools, customTools, workflowTools])
+
+  const handleAddedCustomTool = invalidateCustomTools
+
+  const handleTriggerClick = () => {
+    if (disabled) return
+    onShowChange(true)
+  }
+
+  const handleSelect = (_type: BlockEnum, tool?: ToolDefaultValue) => {
+    onSelect(tool!)
+  }
+
+  const [isShowEditCollectionToolModal, {
+    setFalse: hideEditCustomCollectionModal,
+    setTrue: showEditCustomCollectionModal,
+  }] = useBoolean(false)
+
+  const doCreateCustomToolCollection = async (data: CustomCollectionBackend) => {
+    await createCustomCollection(data)
+    Toast.notify({
+      type: 'success',
+      message: t('common.api.actionSuccess'),
+    })
+    hideEditCustomCollectionModal()
+    handleAddedCustomTool()
+  }
+
+  if (isShowEditCollectionToolModal) {
+    return (
+      <EditCustomToolModal
+        positionLeft
+        payload={null}
+        onHide={hideEditCustomCollectionModal}
+        onAdd={doCreateCustomToolCollection}
+      />
+    )
+  }
+
+  return (
+    <PortalToFollowElem
+      placement={placement}
+      offset={offset}
+      open={isShow}
+      onOpenChange={onShowChange}
+    >
+      <PortalToFollowElemTrigger
+        onClick={handleTriggerClick}
+      >
+        {trigger}
+      </PortalToFollowElemTrigger>
+
+      <PortalToFollowElemContent className='z-[1000]'>
+        <div className={cn('relative w-[356px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg', panelClassName)}>
+          <div className='p-2 pb-1'>
+            <SearchBox
+              search={searchText}
+              onSearchChange={setSearchText}
+              tags={tags}
+              onTagsChange={setTags}
+              size='small'
+              placeholder={t('plugin.searchTools')!}
+            />
+          </div>
+          <AllTools
+            className='mt-1'
+            toolContentClassName='max-w-[360px]'
+            tags={tags}
+            searchText={searchText}
+            onSelect={handleSelect}
+            buildInTools={builtinToolList || []}
+            customTools={customToolList || []}
+            workflowTools={workflowToolList || []}
+            supportAddCustomTool={supportAddCustomTool}
+            onAddedCustomTool={handleAddedCustomTool}
+            onShowAddCustomCollectionModal={showEditCustomCollectionModal}
+            selectedTools={selectedTools}
+          />
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default React.memo(ToolPicker)
diff --git a/web/app/components/workflow/block-selector/tool/action-item.tsx b/web/app/components/workflow/block-selector/tool/action-item.tsx
new file mode 100644
index 0000000000..411faccb3a
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool/action-item.tsx
@@ -0,0 +1,89 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { ToolWithProvider } from '../../types'
+import { BlockEnum } from '../../types'
+import type { ToolDefaultValue } from '../types'
+import Tooltip from '@/app/components/base/tooltip'
+import type { Tool } from '@/app/components/tools/types'
+import { useGetLanguage } from '@/context/i18n'
+import BlockIcon from '../../block-icon'
+import cn from '@/utils/classnames'
+import { useTranslation } from 'react-i18next'
+import { RiCheckLine } from '@remixicon/react'
+import Badge from '@/app/components/base/badge'
+
+type Props = {
+  provider: ToolWithProvider
+  payload: Tool
+  disabled?: boolean
+  onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
+}
+
+const ToolItem: FC<Props> = ({
+  provider,
+  payload,
+  onSelect,
+  disabled,
+}) => {
+  const { t } = useTranslation()
+
+  const language = useGetLanguage()
+
+  return (
+    <Tooltip
+      key={payload.name}
+      position='right'
+      popupClassName='!p-0 !px-3 !py-2.5 !w-[200px] !leading-[18px] !text-xs !text-gray-700 !border-[0.5px] !border-black/5 !rounded-xl !shadow-lg'
+      popupContent={(
+        <div>
+          <BlockIcon
+            size='md'
+            className='mb-2'
+            type={BlockEnum.Tool}
+            toolIcon={provider.icon}
+          />
+          <div className='mb-1 text-sm leading-5 text-text-primary'>{payload.label[language]}</div>
+          <div className='text-xs text-text-secondary leading-[18px]'>{payload.description[language]}</div>
+        </div>
+      )}
+    >
+      <div
+        key={payload.name}
+        className='flex justify-between items-center pr-1 rounded-lg pl-[21px] hover:bg-state-base-hover cursor-pointer'
+        onClick={() => {
+          if (disabled) return
+          const params: Record<string, string> = {}
+          if (payload.parameters) {
+            payload.parameters.forEach((item) => {
+              params[item.name] = ''
+            })
+          }
+          onSelect(BlockEnum.Tool, {
+            provider_id: provider.id,
+            provider_type: provider.type,
+            provider_name: provider.name,
+            tool_name: payload.name,
+            tool_label: payload.label[language],
+            title: payload.label[language],
+            is_team_authorization: provider.is_team_authorization,
+            output_schema: payload.output_schema,
+            paramSchemas: payload.parameters,
+            params,
+          })
+        }}
+      >
+        <div className={cn('h-8 leading-8 border-l-2 border-divider-subtle pl-4 truncate text-text-secondary system-sm-medium', disabled && 'opacity-30')}>{payload.label[language]}</div>
+        {disabled && <Badge
+          className='flex items-center h-5 text-text-tertiary space-x-0.5'
+          uppercase
+        >
+          <RiCheckLine className='w-3 h-3 ' />
+          <div>{t('tools.addToolModal.added')}</div>
+        </Badge>
+        }
+      </div>
+    </Tooltip >
+  )
+}
+export default React.memo(ToolItem)
diff --git a/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx b/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx
new file mode 100644
index 0000000000..ef671ca1f8
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx
@@ -0,0 +1,64 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { ToolWithProvider } from '../../../types'
+import type { BlockEnum } from '../../../types'
+import type { ToolDefaultValue, ToolValue } from '../../types'
+import Tool from '../tool'
+import { ViewType } from '../../view-type-select'
+import { useMemo } from 'react'
+
+type Props = {
+  payload: ToolWithProvider[]
+  isShowLetterIndex: boolean
+  hasSearchText: boolean
+  onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
+  letters: string[]
+  toolRefs: any
+  selectedTools?: ToolValue[]
+}
+
+const ToolViewFlatView: FC<Props> = ({
+  letters,
+  payload,
+  isShowLetterIndex,
+  hasSearchText,
+  onSelect,
+  toolRefs,
+  selectedTools,
+}) => {
+  const firstLetterToolIds = useMemo(() => {
+    const res: Record<string, string> = {}
+    letters.forEach((letter) => {
+      const firstToolId = payload.find(tool => tool.letter === letter)?.id
+      if (firstToolId)
+        res[firstToolId] = letter
+    })
+    return res
+  }, [payload, letters])
+  return (
+    <div>
+      {payload.map(tool => (
+        <div
+          key={tool.id}
+          ref={(el) => {
+            const letter = firstLetterToolIds[tool.id]
+            if (letter)
+              toolRefs.current[letter] = el
+          }}
+        >
+          <Tool
+            payload={tool}
+            viewType={ViewType.flat}
+            isShowLetterIndex={isShowLetterIndex}
+            hasSearchText={hasSearchText}
+            onSelect={onSelect}
+            selectedTools={selectedTools}
+          />
+        </div>
+      ))}
+    </div>
+  )
+}
+
+export default React.memo(ToolViewFlatView)
diff --git a/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx
new file mode 100644
index 0000000000..65afef8ba9
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx
@@ -0,0 +1,47 @@
+'use client'
+import type { FC } from 'react'
+import React from 'react'
+import type { ToolWithProvider } from '../../../types'
+import Tool from '../tool'
+import type { BlockEnum } from '../../../types'
+import { ViewType } from '../../view-type-select'
+import type { ToolDefaultValue, ToolValue } from '../../types'
+
+type Props = {
+  groupName: string
+  toolList: ToolWithProvider[]
+  hasSearchText: boolean
+  onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
+  selectedTools?: ToolValue[]
+}
+
+const Item: FC<Props> = ({
+  groupName,
+  toolList,
+  hasSearchText,
+  onSelect,
+  selectedTools,
+}) => {
+  return (
+    <div>
+      <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'>
+        {groupName}
+      </div>
+      <div>
+        {toolList.map((tool: ToolWithProvider) => (
+          <Tool
+            key={tool.id}
+            payload={tool}
+            viewType={ViewType.tree}
+            isShowLetterIndex={false}
+            hasSearchText={hasSearchText}
+            onSelect={onSelect}
+            selectedTools={selectedTools}
+          />
+        ))}
+      </div>
+    </div>
+  )
+}
+
+export default React.memo(Item)
diff --git a/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx
new file mode 100644
index 0000000000..f3f98279c8
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx
@@ -0,0 +1,56 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback } from 'react'
+import type { ToolWithProvider } from '../../../types'
+import type { BlockEnum } from '../../../types'
+import type { ToolDefaultValue, ToolValue } from '../../types'
+import Item from './item'
+import { useTranslation } from 'react-i18next'
+import { AGENT_GROUP_NAME, CUSTOM_GROUP_NAME, WORKFLOW_GROUP_NAME } from '../../index-bar'
+
+type Props = {
+  payload: Record<string, ToolWithProvider[]>
+  hasSearchText: boolean
+  onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
+  selectedTools?: ToolValue[]
+}
+
+const ToolListTreeView: FC<Props> = ({
+  payload,
+  hasSearchText,
+  onSelect,
+  selectedTools,
+}) => {
+  const { t } = useTranslation()
+  const getI18nGroupName = useCallback((name: string) => {
+    if (name === CUSTOM_GROUP_NAME)
+      return t('workflow.tabs.customTool')
+
+    if (name === WORKFLOW_GROUP_NAME)
+      return t('workflow.tabs.workflowTool')
+
+    if (name === AGENT_GROUP_NAME)
+      return t('workflow.tabs.agent')
+
+    return name
+  }, [t])
+
+  if (!payload) return null
+
+  return (
+    <div>
+      {Object.keys(payload).map(groupName => (
+        <Item
+          key={groupName}
+          groupName={getI18nGroupName(groupName)}
+          toolList={payload[groupName]}
+          hasSearchText={hasSearchText}
+          onSelect={onSelect}
+          selectedTools={selectedTools}
+        />
+      ))}
+    </div>
+  )
+}
+
+export default React.memo(ToolListTreeView)
diff --git a/web/app/components/workflow/block-selector/tool/tool.tsx b/web/app/components/workflow/block-selector/tool/tool.tsx
new file mode 100644
index 0000000000..0711c0e1a4
--- /dev/null
+++ b/web/app/components/workflow/block-selector/tool/tool.tsx
@@ -0,0 +1,134 @@
+'use client'
+import type { FC } from 'react'
+import React, { useEffect, useMemo } from 'react'
+import cn from '@/utils/classnames'
+import { RiArrowDownSLine, RiArrowRightSLine } from '@remixicon/react'
+import { useGetLanguage } from '@/context/i18n'
+import type { Tool as ToolType } from '../../../tools/types'
+import { CollectionType } from '../../../tools/types'
+import type { ToolWithProvider } from '../../types'
+import { BlockEnum } from '../../types'
+import type { ToolDefaultValue, ToolValue } from '../types'
+import { ViewType } from '../view-type-select'
+import ActonItem from './action-item'
+import BlockIcon from '../../block-icon'
+import { useTranslation } from 'react-i18next'
+
+type Props = {
+  className?: string
+  payload: ToolWithProvider
+  viewType: ViewType
+  isShowLetterIndex: boolean
+  hasSearchText: boolean
+  onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
+  selectedTools?: ToolValue[]
+}
+
+const Tool: FC<Props> = ({
+  className,
+  payload,
+  viewType,
+  isShowLetterIndex,
+  hasSearchText,
+  onSelect,
+  selectedTools,
+}) => {
+  const { t } = useTranslation()
+  const language = useGetLanguage()
+  const isFlatView = viewType === ViewType.flat
+  const actions = payload.tools
+  const hasAction = true // Now always support actions
+  const [isFold, setFold] = React.useState<boolean>(true)
+  const getIsDisabled = (tool: ToolType) => {
+    if (!selectedTools || !selectedTools.length) return false
+    return selectedTools.some(selectedTool => selectedTool.provider_name === payload.name && selectedTool.tool_name === tool.name)
+  }
+  useEffect(() => {
+    if (hasSearchText && isFold) {
+      setFold(false)
+      return
+    }
+    if (!hasSearchText && !isFold)
+      setFold(true)
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [hasSearchText])
+
+  const FoldIcon = isFold ? RiArrowRightSLine : RiArrowDownSLine
+
+  const groupName = useMemo(() => {
+    if (payload.type === CollectionType.builtIn)
+      return payload.author
+
+    if (payload.type === CollectionType.custom)
+      return t('workflow.tabs.customTool')
+
+    if (payload.type === CollectionType.workflow)
+      return t('workflow.tabs.workflowTool')
+
+    return ''
+  }, [payload.author, payload.type, t])
+
+  return (
+    <div
+      key={payload.id}
+      className={cn('mb-1 last-of-type:mb-0', isShowLetterIndex && 'mr-6')}
+    >
+      <div className={cn(className)}>
+        <div
+          className='flex items-center justify-between pl-3 pr-1 w-full rounded-lg hover:bg-state-base-hover cursor-pointer select-none'
+          onClick={() => {
+            if (hasAction)
+              setFold(!isFold)
+
+            // Now always support actions
+            // if (payload.parameters) {
+            //   payload.parameters.forEach((item) => {
+            //     params[item.name] = ''
+            //   })
+            // }
+            // onSelect(BlockEnum.Tool, {
+            //   provider_id: payload.id,
+            //   provider_type: payload.type,
+            //   provider_name: payload.name,
+            //   tool_name: payload.name,
+            //   tool_label: payload.label[language],
+            //   title: payload.label[language],
+            //   params: {},
+            // })
+          }}
+        >
+          <div className='flex grow items-center h-8'>
+            <BlockIcon
+              className='shrink-0'
+              type={BlockEnum.Tool}
+              toolIcon={payload.icon}
+            />
+            <div className='ml-2 text-sm text-text-primary flex-1 w-0 grow truncate'>{payload.label[language]}</div>
+          </div>
+
+          <div className='flex items-center'>
+            {isFlatView && (
+              <div className='text-text-tertiary system-xs-regular'>{groupName}</div>
+            )}
+            {hasAction && (
+              <FoldIcon className={cn('w-4 h-4 text-text-quaternary shrink-0', isFold && 'text-text-tertiary')} />
+            )}
+          </div>
+        </div>
+
+        {hasAction && !isFold && (
+          actions.map(action => (
+            <ActonItem
+              key={action.name}
+              provider={payload}
+              payload={action}
+              onSelect={onSelect}
+              disabled={getIsDisabled(action)}
+            />
+          ))
+        )}
+      </div>
+    </div>
+  )
+}
+export default React.memo(Tool)
diff --git a/web/app/components/workflow/block-selector/tools.tsx b/web/app/components/workflow/block-selector/tools.tsx
index 394966fb4f..94374be9b8 100644
--- a/web/app/components/workflow/block-selector/tools.tsx
+++ b/web/app/components/workflow/block-selector/tools.tsx
@@ -1,103 +1,93 @@
 import {
   memo,
-  useCallback,
+  useMemo,
   useRef,
 } from 'react'
 import { useTranslation } from 'react-i18next'
-import BlockIcon from '../block-icon'
-import { BlockEnum } from '../types'
-import type { ToolWithProvider } from '../types'
+import type { BlockEnum, ToolWithProvider } from '../types'
 import IndexBar, { groupItems } from './index-bar'
-import type { ToolDefaultValue } from './types'
-import Tooltip from '@/app/components/base/tooltip'
+import type { ToolDefaultValue, ToolValue } from './types'
+import { ViewType } from './view-type-select'
 import Empty from '@/app/components/tools/add-tool-modal/empty'
 import { useGetLanguage } from '@/context/i18n'
+import ToolListTreeView from './tool/tool-list-tree-view/list'
+import ToolListFlatView from './tool/tool-list-flat-view/list'
+import classNames from '@/utils/classnames'
 
 type ToolsProps = {
   showWorkflowEmpty: boolean
   onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void
   tools: ToolWithProvider[]
+  viewType: ViewType
+  hasSearchText: boolean
+  className?: string
+  indexBarClassName?: string
+  selectedTools?: ToolValue[]
 }
 const Blocks = ({
   showWorkflowEmpty,
   onSelect,
   tools,
+  viewType,
+  hasSearchText,
+  className,
+  indexBarClassName,
+  selectedTools,
 }: ToolsProps) => {
   const { t } = useTranslation()
   const language = useGetLanguage()
+  const isFlatView = viewType === ViewType.flat
+  const isShowLetterIndex = isFlatView && tools.length > 10
+
+  /*
+  treeViewToolsData:
+  {
+    A: {
+      'google': [ // plugin organize name
+        ...tools
+      ],
+      'custom': [ // custom tools
+        ...tools
+      ],
+      'workflow': [ // workflow as tools
+        ...tools
+      ]
+    }
+  }
+  */
+  const { letters, groups: withLetterAndGroupViewToolsData } = groupItems(tools, tool => (tool as any).label[language][0])
+  const treeViewToolsData = useMemo(() => {
+    const result: Record<string, ToolWithProvider[]> = {}
+    Object.keys(withLetterAndGroupViewToolsData).forEach((letter) => {
+      Object.keys(withLetterAndGroupViewToolsData[letter]).forEach((groupName) => {
+        if (!result[groupName])
+          result[groupName] = []
+        result[groupName].push(...withLetterAndGroupViewToolsData[letter][groupName])
+      })
+    })
+    return result
+  }, [withLetterAndGroupViewToolsData])
+
+  const listViewToolData = useMemo(() => {
+    const result: ToolWithProvider[] = []
+    letters.forEach((letter) => {
+      Object.keys(withLetterAndGroupViewToolsData[letter]).forEach((groupName) => {
+        result.push(...withLetterAndGroupViewToolsData[letter][groupName].map((item) => {
+          return {
+            ...item,
+            letter,
+          }
+        }))
+      })
+    })
+
+    return result
+  }, [withLetterAndGroupViewToolsData, letters])
 
-  const { letters, groups: groupedTools } = groupItems(tools, tool => tool.label[language][0])
   const toolRefs = useRef({})
 
-  const renderGroup = useCallback((toolWithProvider: ToolWithProvider) => {
-    const list = toolWithProvider.tools
-
-    return (
-      <div
-        key={toolWithProvider.id}
-        className='mb-1 last-of-type:mb-0'
-      >
-        <div className='flex items-start px-3 h-[22px] text-xs font-medium text-gray-500'>
-          {toolWithProvider.label[language]}
-        </div>
-        {
-          list.map(tool => (
-            <Tooltip
-              key={tool.name}
-              position='right'
-              popupClassName='w-[200px]'
-              popupContent={(
-                <div>
-                  <BlockIcon
-                    size='md'
-                    className='mb-2'
-                    type={BlockEnum.Tool}
-                    toolIcon={toolWithProvider.icon}
-                  />
-                  <div className='mb-1 system-md-medium text-text-primary'>{tool.label[language]}</div>
-                  <div className='system-xs-regular text-text-tertiary'>{tool.description[language]}</div>
-                </div>
-              )}
-            >
-              <div
-                className='flex items-center px-3 w-full h-8 rounded-lg hover:bg-state-base-hover cursor-pointer'
-                onClick={() => onSelect(BlockEnum.Tool, {
-                  provider_id: toolWithProvider.id,
-                  provider_type: toolWithProvider.type,
-                  provider_name: toolWithProvider.name,
-                  tool_name: tool.name,
-                  tool_label: tool.label[language],
-                  title: tool.label[language],
-                })}
-              >
-                <BlockIcon
-                  className='mr-2 shrink-0'
-                  type={BlockEnum.Tool}
-                  toolIcon={toolWithProvider.icon}
-                />
-                <div className='text-sm text-text-secondary flex-1 min-w-0 truncate'>{tool.label[language]}</div>
-              </div>
-            </Tooltip>
-          ))
-        }
-      </div>
-    )
-  }, [onSelect, language])
-
-  const renderLetterGroup = (letter) => {
-    const tools = groupedTools[letter]
-    return (
-      <div
-        key={letter}
-        ref={el => (toolRefs.current[letter] = el)}
-      >
-        {tools.map(renderGroup)}
-      </div>
-    )
-  }
-
   return (
-    <div className='p-1 max-w-[320px] max-h-[464px] overflow-y-auto'>
+    <div className={classNames('p-1 max-w-[320px]', className)}>
       {
         !tools.length && !showWorkflowEmpty && (
           <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'>{t('workflow.tabs.noResult')}</div>
@@ -108,8 +98,28 @@ const Blocks = ({
           <Empty />
         </div>
       )}
-      {!!tools.length && letters.map(renderLetterGroup)}
-      {tools.length > 10 && <IndexBar letters={letters} itemRefs={toolRefs} />}
+      {!!tools.length && (
+        isFlatView ? (
+          <ToolListFlatView
+            toolRefs={toolRefs}
+            letters={letters}
+            payload={listViewToolData}
+            isShowLetterIndex={isShowLetterIndex}
+            hasSearchText={hasSearchText}
+            onSelect={onSelect}
+            selectedTools={selectedTools}
+          />
+        ) : (
+          <ToolListTreeView
+            payload={treeViewToolsData}
+            hasSearchText={hasSearchText}
+            onSelect={onSelect}
+            selectedTools={selectedTools}
+          />
+        )
+      )}
+
+      {isShowLetterIndex && <IndexBar letters={letters} itemRefs={toolRefs} className={indexBarClassName} />}
     </div>
   )
 }
diff --git a/web/app/components/workflow/block-selector/types.ts b/web/app/components/workflow/block-selector/types.ts
index affa2488b9..93a3242222 100644
--- a/web/app/components/workflow/block-selector/types.ts
+++ b/web/app/components/workflow/block-selector/types.ts
@@ -25,4 +25,18 @@ export type ToolDefaultValue = {
   tool_name: string
   tool_label: string
   title: string
+  is_team_authorization: boolean
+  params: Record<string, any>
+  paramSchemas: Record<string, any>[]
+  output_schema: Record<string, any>
+}
+
+export type ToolValue = {
+  provider_name: string
+  tool_name: string
+  tool_label: string
+  settings?: Record<string, any>
+  parameters?: Record<string, any>
+  enabled?: boolean
+  extra?: Record<string, any>
 }
diff --git a/web/app/components/workflow/block-selector/use-sticky-scroll.ts b/web/app/components/workflow/block-selector/use-sticky-scroll.ts
new file mode 100644
index 0000000000..405ecdba7e
--- /dev/null
+++ b/web/app/components/workflow/block-selector/use-sticky-scroll.ts
@@ -0,0 +1,45 @@
+import React from 'react'
+import { useThrottleFn } from 'ahooks'
+
+export enum ScrollPosition {
+  belowTheWrap = 'belowTheWrap',
+  showing = 'showing',
+  aboveTheWrap = 'aboveTheWrap',
+}
+
+type Params = {
+  wrapElemRef: React.RefObject<HTMLElement>
+  nextToStickyELemRef: React.RefObject<HTMLElement>
+}
+const useStickyScroll = ({
+  wrapElemRef,
+  nextToStickyELemRef,
+}: Params) => {
+  const [scrollPosition, setScrollPosition] = React.useState<ScrollPosition>(ScrollPosition.belowTheWrap)
+  const { run: handleScroll } = useThrottleFn(() => {
+    const wrapDom = wrapElemRef.current
+    const stickyDOM = nextToStickyELemRef.current
+    if (!wrapDom || !stickyDOM)
+      return
+    const { height: wrapHeight, top: wrapTop } = wrapDom.getBoundingClientRect()
+    const { top: nextToStickyTop } = stickyDOM.getBoundingClientRect()
+    let scrollPositionNew = ScrollPosition.belowTheWrap
+
+    if (nextToStickyTop - wrapTop >= wrapHeight)
+      scrollPositionNew = ScrollPosition.belowTheWrap
+    else if (nextToStickyTop <= wrapTop)
+      scrollPositionNew = ScrollPosition.aboveTheWrap
+    else
+      scrollPositionNew = ScrollPosition.showing
+
+    if (scrollPosition !== scrollPositionNew)
+      setScrollPosition(scrollPositionNew)
+  }, { wait: 100 })
+
+  return {
+    handleScroll,
+    scrollPosition,
+  }
+}
+
+export default useStickyScroll
diff --git a/web/app/components/workflow/block-selector/view-type-select.tsx b/web/app/components/workflow/block-selector/view-type-select.tsx
new file mode 100644
index 0000000000..d76926e619
--- /dev/null
+++ b/web/app/components/workflow/block-selector/view-type-select.tsx
@@ -0,0 +1,58 @@
+'use client'
+import type { FC } from 'react'
+import React, { useCallback } from 'react'
+import { RiNodeTree, RiSortAlphabetAsc } from '@remixicon/react'
+import cn from '@/utils/classnames'
+
+export enum ViewType {
+  flat = 'flat',
+  tree = 'tree',
+}
+
+type Props = {
+  viewType: ViewType
+  onChange: (viewType: ViewType) => void
+}
+
+const ViewTypeSelect: FC<Props> = ({
+  viewType,
+  onChange,
+}) => {
+  const handleChange = useCallback((nextViewType: ViewType) => {
+    return () => {
+      if (nextViewType === viewType)
+        return
+      onChange(nextViewType)
+    }
+  }, [viewType, onChange])
+
+  return (
+    <div className='flex items-center rounded-lg bg-components-segmented-control-bg-normal p-px'>
+      <div
+        className={
+          cn('p-[3px] rounded-lg',
+            viewType === ViewType.flat
+              ? 'bg-components-segmented-control-item-active-bg shadow-xs text-text-accent-light-mode-only'
+              : 'text-text-tertiary cursor-pointer',
+          )
+        }
+        onClick={handleChange(ViewType.flat)}
+      >
+        <RiSortAlphabetAsc className='w-4 h-4' />
+      </div>
+      <div
+        className={
+          cn('p-[3px] rounded-lg',
+            viewType === ViewType.tree
+              ? 'bg-components-segmented-control-item-active-bg shadow-xs text-text-accent-light-mode-only'
+              : 'text-text-tertiary cursor-pointer',
+          )
+        }
+        onClick={handleChange(ViewType.tree)}
+      >
+        <RiNodeTree className='w-4 h-4 ' />
+      </div>
+    </div>
+  )
+}
+export default React.memo(ViewTypeSelect)
diff --git a/web/app/components/workflow/constants.ts b/web/app/components/workflow/constants.ts
index 5f52a75464..56368d5a79 100644
--- a/web/app/components/workflow/constants.ts
+++ b/web/app/components/workflow/constants.ts
@@ -18,6 +18,7 @@ import IterationDefault from './nodes/iteration/default'
 import DocExtractorDefault from './nodes/document-extractor/default'
 import ListFilterDefault from './nodes/list-operator/default'
 import IterationStartDefault from './nodes/iteration-start/default'
+import AgentDefault from './nodes/agent/default'
 
 type NodesExtraData = {
   author: string
@@ -200,7 +201,15 @@ export const NODES_EXTRA_DATA: Record<BlockEnum, NodesExtraData> = {
     getAvailableNextNodes: ListFilterDefault.getAvailableNextNodes,
     checkValid: ListFilterDefault.checkValid,
   },
-
+  [BlockEnum.Agent]: {
+    author: 'Dify',
+    about: '',
+    availablePrevNodes: [],
+    availableNextNodes: [],
+    getAvailablePrevNodes: ListFilterDefault.getAvailablePrevNodes,
+    getAvailableNextNodes: ListFilterDefault.getAvailableNextNodes,
+    checkValid: AgentDefault.checkValid,
+  },
 }
 
 export const NODES_INITIAL_DATA = {
@@ -336,6 +345,12 @@ export const NODES_INITIAL_DATA = {
     desc: '',
     ...ListFilterDefault.defaultValue,
   },
+  [BlockEnum.Agent]: {
+    type: BlockEnum.Agent,
+    title: '',
+    desc: '',
+    ...AgentDefault.defaultValue,
+  },
 }
 export const MAX_ITERATION_PARALLEL_NUM = 10
 export const MIN_ITERATION_PARALLEL_NUM = 1
@@ -386,6 +401,7 @@ export const SUPPORT_OUTPUT_VARS_NODE = [
   BlockEnum.HttpRequest, BlockEnum.Tool, BlockEnum.VariableAssigner, BlockEnum.VariableAggregator, BlockEnum.QuestionClassifier,
   BlockEnum.ParameterExtractor, BlockEnum.Iteration,
   BlockEnum.DocExtractor, BlockEnum.ListFilter,
+  BlockEnum.Agent,
 ]
 
 export const LLM_OUTPUT_STRUCT: Var[] = [
diff --git a/web/app/components/workflow/hooks/use-checklist.ts b/web/app/components/workflow/hooks/use-checklist.ts
index 36201ddfef..0ef374493c 100644
--- a/web/app/components/workflow/hooks/use-checklist.ts
+++ b/web/app/components/workflow/hooks/use-checklist.ts
@@ -24,6 +24,8 @@ import { useNodesExtraData } from './use-nodes-data'
 import { useToastContext } from '@/app/components/base/toast'
 import { CollectionType } from '@/app/components/tools/types'
 import { useGetLanguage } from '@/context/i18n'
+import type { AgentNodeType } from '../nodes/agent/types'
+import { useStrategyProviders } from '@/service/use-strategy'
 
 export const useChecklist = (nodes: Node[], edges: Edge[]) => {
   const { t } = useTranslation()
@@ -33,6 +35,7 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => {
   const buildInTools = useStore(s => s.buildInTools)
   const customTools = useStore(s => s.customTools)
   const workflowTools = useStore(s => s.workflowTools)
+  const { data: strategyProviders } = useStrategyProviders()
 
   const needWarningNodes = useMemo(() => {
     const list = []
@@ -57,6 +60,19 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => {
           toolIcon = workflowTools.find(tool => tool.id === node.data.provider_id)?.icon
       }
 
+      if (node.data.type === BlockEnum.Agent) {
+        const data = node.data as AgentNodeType
+        const isReadyForCheckValid = !!strategyProviders
+        const provider = strategyProviders?.find(provider => provider.declaration.identity.name === data.agent_strategy_provider_name)
+        const strategy = provider?.declaration.strategies?.find(s => s.identity.name === data.agent_strategy_name)
+        moreDataForCheckValid = {
+          provider,
+          strategy,
+          language,
+          isReadyForCheckValid,
+        }
+      }
+
       if (node.type === CUSTOM_NODE) {
         const { errorMessage } = nodesExtraData[node.data.type].checkValid(node.data, t, moreDataForCheckValid)
 
@@ -92,7 +108,7 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => {
     }
 
     return list
-  }, [t, nodes, edges, nodesExtraData, buildInTools, customTools, workflowTools, language, isChatMode])
+  }, [nodes, edges, isChatMode, buildInTools, customTools, workflowTools, language, nodesExtraData, t, strategyProviders])
 
   return needWarningNodes
 }
@@ -107,6 +123,7 @@ export const useChecklistBeforePublish = () => {
   const isChatMode = useIsChatMode()
   const store = useStoreApi()
   const nodesExtraData = useNodesExtraData()
+  const { data: strategyProviders } = useStrategyProviders()
 
   const handleCheckBeforePublish = useCallback(() => {
     const {
@@ -130,6 +147,19 @@ export const useChecklistBeforePublish = () => {
       if (node.data.type === BlockEnum.Tool)
         moreDataForCheckValid = getToolCheckParams(node.data as ToolNodeType, buildInTools, customTools, workflowTools, language)
 
+      if (node.data.type === BlockEnum.Agent) {
+        const data = node.data as AgentNodeType
+        const isReadyForCheckValid = !!strategyProviders
+        const provider = strategyProviders?.find(provider => provider.declaration.identity.name === data.agent_strategy_provider_name)
+        const strategy = provider?.declaration.strategies?.find(s => s.identity.name === data.agent_strategy_name)
+        moreDataForCheckValid = {
+          provider,
+          strategy,
+          language,
+          isReadyForCheckValid,
+        }
+      }
+
       const { errorMessage } = nodesExtraData[node.data.type as BlockEnum].checkValid(node.data, t, moreDataForCheckValid)
 
       if (errorMessage) {
@@ -154,7 +184,7 @@ export const useChecklistBeforePublish = () => {
     }
 
     return true
-  }, [nodesExtraData, notify, t, store, isChatMode, buildInTools, customTools, workflowTools, language])
+  }, [store, isChatMode, notify, t, buildInTools, customTools, workflowTools, language, nodesExtraData, strategyProviders])
 
   return {
     handleCheckBeforePublish,
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/index.ts b/web/app/components/workflow/hooks/use-workflow-run-event/index.ts
new file mode 100644
index 0000000000..70528f7e79
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/index.ts
@@ -0,0 +1,12 @@
+export * from './use-workflow-started'
+export * from './use-workflow-finished'
+export * from './use-workflow-failed'
+export * from './use-workflow-node-started'
+export * from './use-workflow-node-finished'
+export * from './use-workflow-node-iteration-started'
+export * from './use-workflow-node-iteration-next'
+export * from './use-workflow-node-iteration-finished'
+export * from './use-workflow-node-retry'
+export * from './use-workflow-text-chunk'
+export * from './use-workflow-text-replace'
+export * from './use-workflow-agent-log'
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts
new file mode 100644
index 0000000000..9a9fa628c0
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts
@@ -0,0 +1,50 @@
+import { useCallback } from 'react'
+import produce from 'immer'
+import type { AgentLogResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowAgentLog = () => {
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowAgentLog = useCallback((params: AgentLogResponse) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      const currentIndex = draft.tracing!.findIndex(item => item.node_id === data.node_id)
+      if (currentIndex > -1) {
+        const current = draft.tracing![currentIndex]
+
+        if (current.execution_metadata) {
+          if (current.execution_metadata.agent_log) {
+            const currentLogIndex = current.execution_metadata.agent_log.findIndex(log => log.id === data.id)
+            if (currentLogIndex > -1) {
+              current.execution_metadata.agent_log[currentLogIndex] = {
+                ...current.execution_metadata.agent_log[currentLogIndex],
+                ...data,
+              }
+            }
+            else {
+              current.execution_metadata.agent_log.push(data)
+            }
+          }
+          else {
+            current.execution_metadata.agent_log = [data]
+          }
+        }
+        else {
+          current.execution_metadata = {
+            agent_log: [data],
+          } as any
+        }
+      }
+    }))
+  }, [workflowStore])
+
+  return {
+    handleWorkflowAgentLog,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts
new file mode 100644
index 0000000000..733f0152a6
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts
@@ -0,0 +1,26 @@
+import { useCallback } from 'react'
+import produce from 'immer'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+import { WorkflowRunningStatus } from '@/app/components/workflow/types'
+
+export const useWorkflowFailed = () => {
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowFailed = useCallback(() => {
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.result = {
+        ...draft.result,
+        status: WorkflowRunningStatus.Failed,
+      }
+    }))
+  }, [workflowStore])
+
+  return {
+    handleWorkflowFailed,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts
new file mode 100644
index 0000000000..f447031047
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts
@@ -0,0 +1,35 @@
+import { useCallback } from 'react'
+import produce from 'immer'
+import type { WorkflowFinishedResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+import { getFilesInLogs } from '@/app/components/base/file-uploader/utils'
+
+export const useWorkflowFinished = () => {
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowFinished = useCallback((params: WorkflowFinishedResponse) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+
+    const isStringOutput = data.outputs && Object.keys(data.outputs).length === 1 && typeof data.outputs[Object.keys(data.outputs)[0]] === 'string'
+
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.result = {
+        ...draft.result,
+        ...data,
+        files: getFilesInLogs(data.outputs),
+      } as any
+      if (isStringOutput) {
+        draft.resultTabActive = true
+        draft.resultText = data.outputs[Object.keys(data.outputs)[0]]
+      }
+    }))
+  }, [workflowStore])
+
+  return {
+    handleWorkflowFinished,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts
new file mode 100644
index 0000000000..b8490ff14c
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts
@@ -0,0 +1,72 @@
+import { useCallback } from 'react'
+import { useStoreApi } from 'reactflow'
+import produce from 'immer'
+import type { NodeFinishedResponse } from '@/types/workflow'
+import {
+  BlockEnum,
+  NodeRunningStatus,
+} from '@/app/components/workflow/types'
+import { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowNodeFinished = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowNodeFinished = useCallback((params: NodeFinishedResponse) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+      edges,
+      setEdges,
+    } = store.getState()
+    const nodes = getNodes()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      const currentIndex = draft.tracing!.findIndex(item => item.id === data.id)
+      if (currentIndex > -1) {
+        draft.tracing![currentIndex] = {
+          ...draft.tracing![currentIndex],
+          ...data,
+        }
+      }
+    }))
+
+    const newNodes = produce(nodes, (draft) => {
+      const currentNode = draft.find(node => node.id === data.node_id)!
+      currentNode.data._runningStatus = data.status
+      if (data.status === NodeRunningStatus.Exception) {
+        if (data.execution_metadata?.error_strategy === ErrorHandleTypeEnum.failBranch)
+          currentNode.data._runningBranchId = ErrorHandleTypeEnum.failBranch
+      }
+      else {
+        if (data.node_type === BlockEnum.IfElse)
+          currentNode.data._runningBranchId = data?.outputs?.selected_case_id
+
+        if (data.node_type === BlockEnum.QuestionClassifier)
+          currentNode.data._runningBranchId = data?.outputs?.class_id
+      }
+    })
+    setNodes(newNodes)
+    const newEdges = produce(edges, (draft) => {
+      const incomeEdges = draft.filter((edge) => {
+        return edge.target === data.node_id
+      })
+      incomeEdges.forEach((edge) => {
+        edge.data = {
+          ...edge.data,
+          _targetRunningStatus: data.status as any,
+        }
+      })
+    })
+    setEdges(newEdges)
+  }, [store, workflowStore])
+
+  return {
+    handleWorkflowNodeFinished,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts
new file mode 100644
index 0000000000..fdf9e28587
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts
@@ -0,0 +1,46 @@
+import { useCallback } from 'react'
+import { useStoreApi } from 'reactflow'
+import produce from 'immer'
+import type { IterationFinishedResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+import { DEFAULT_ITER_TIMES } from '@/app/components/workflow/constants'
+
+export const useWorkflowNodeIterationFinished = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowNodeIterationFinished = useCallback((params: IterationFinishedResponse) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+      setIterTimes,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+    } = store.getState()
+    const nodes = getNodes()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      const currentIndex = draft.tracing!.findIndex(item => item.id === data.id)
+
+      if (currentIndex > -1) {
+        draft.tracing![currentIndex] = {
+          ...draft.tracing![currentIndex],
+          ...data,
+        }
+      }
+    }))
+    setIterTimes(DEFAULT_ITER_TIMES)
+    const newNodes = produce(nodes, (draft) => {
+      const currentNode = draft.find(node => node.id === data.node_id)!
+
+      currentNode.data._runningStatus = data.status
+    })
+    setNodes(newNodes)
+  }, [workflowStore, store])
+
+  return {
+    handleWorkflowNodeIterationFinished,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts
new file mode 100644
index 0000000000..454f822675
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts
@@ -0,0 +1,35 @@
+import { useCallback } from 'react'
+import { useStoreApi } from 'reactflow'
+import produce from 'immer'
+import type { IterationNextResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowNodeIterationNext = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowNodeIterationNext = useCallback((params: IterationNextResponse) => {
+    const {
+      iterTimes,
+      setIterTimes,
+    } = workflowStore.getState()
+
+    const { data } = params
+    const {
+      getNodes,
+      setNodes,
+    } = store.getState()
+
+    const nodes = getNodes()
+    const newNodes = produce(nodes, (draft) => {
+      const currentNode = draft.find(node => node.id === data.node_id)!
+      currentNode.data._iterationIndex = iterTimes
+      setIterTimes(iterTimes + 1)
+    })
+    setNodes(newNodes)
+  }, [workflowStore, store])
+
+  return {
+    handleWorkflowNodeIterationNext,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts
new file mode 100644
index 0000000000..0308f62b31
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts
@@ -0,0 +1,85 @@
+import { useCallback } from 'react'
+import {
+  useReactFlow,
+  useStoreApi,
+} from 'reactflow'
+import produce from 'immer'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+import type { IterationStartedResponse } from '@/types/workflow'
+import { NodeRunningStatus } from '@/app/components/workflow/types'
+import { DEFAULT_ITER_TIMES } from '@/app/components/workflow/constants'
+
+export const useWorkflowNodeIterationStarted = () => {
+  const store = useStoreApi()
+  const reactflow = useReactFlow()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowNodeIterationStarted = useCallback((
+    params: IterationStartedResponse,
+    containerParams: {
+      clientWidth: number,
+      clientHeight: number,
+    },
+  ) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+      setIterTimes,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+      edges,
+      setEdges,
+      transform,
+    } = store.getState()
+    const nodes = getNodes()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.tracing!.push({
+        ...data,
+        status: NodeRunningStatus.Running,
+      })
+    }))
+    setIterTimes(DEFAULT_ITER_TIMES)
+
+    const {
+      setViewport,
+    } = reactflow
+    const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id)
+    const currentNode = nodes[currentNodeIndex]
+    const position = currentNode.position
+    const zoom = transform[2]
+
+    if (!currentNode.parentId) {
+      setViewport({
+        x: (containerParams.clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom,
+        y: (containerParams.clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom,
+        zoom: transform[2],
+      })
+    }
+    const newNodes = produce(nodes, (draft) => {
+      draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running
+      draft[currentNodeIndex].data._iterationLength = data.metadata.iterator_length
+      draft[currentNodeIndex].data._waitingRun = false
+    })
+    setNodes(newNodes)
+    const newEdges = produce(edges, (draft) => {
+      const incomeEdges = draft.filter(edge => edge.target === data.node_id)
+
+      incomeEdges.forEach((edge) => {
+        edge.data = {
+          ...edge.data,
+          _sourceRunningStatus: nodes.find(node => node.id === edge.source)!.data._runningStatus,
+          _targetRunningStatus: NodeRunningStatus.Running,
+          _waitingRun: false,
+        }
+      })
+    })
+    setEdges(newEdges)
+  }, [workflowStore, store, reactflow])
+
+  return {
+    handleWorkflowNodeIterationStarted,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts
new file mode 100644
index 0000000000..a57bfbce39
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts
@@ -0,0 +1,39 @@
+import { useCallback } from 'react'
+import { useStoreApi } from 'reactflow'
+import produce from 'immer'
+import type {
+  NodeFinishedResponse,
+} from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowNodeRetry = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowNodeRetry = useCallback((params: NodeFinishedResponse) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+    } = store.getState()
+
+    const nodes = getNodes()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.tracing!.push(data)
+    }))
+    const newNodes = produce(nodes, (draft) => {
+      const currentNode = draft.find(node => node.id === data.node_id)!
+
+      currentNode.data._retryIndex = data.retry_index
+    })
+    setNodes(newNodes)
+  }, [workflowStore, store])
+
+  return {
+    handleWorkflowNodeRetry,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts
new file mode 100644
index 0000000000..b537ccbb27
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts
@@ -0,0 +1,89 @@
+import { useCallback } from 'react'
+import {
+  useReactFlow,
+  useStoreApi,
+} from 'reactflow'
+import produce from 'immer'
+import type { NodeStartedResponse } from '@/types/workflow'
+import { NodeRunningStatus } from '@/app/components/workflow/types'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowNodeStarted = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+  const reactflow = useReactFlow()
+
+  const handleWorkflowNodeStarted = useCallback((
+    params: NodeStartedResponse,
+    containerParams: {
+      clientWidth: number,
+      clientHeight: number,
+    },
+  ) => {
+    const { data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+      edges,
+      setEdges,
+      transform,
+    } = store.getState()
+    const nodes = getNodes()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.tracing!.push({
+        ...data,
+        status: NodeRunningStatus.Running,
+      })
+    }))
+
+    const {
+      setViewport,
+    } = reactflow
+    const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id)
+    const currentNode = nodes[currentNodeIndex]
+    const position = currentNode.position
+    const zoom = transform[2]
+
+    if (!currentNode.parentId) {
+      setViewport({
+        x: (containerParams.clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom,
+        y: (containerParams.clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom,
+        zoom: transform[2],
+      })
+    }
+    const newNodes = produce(nodes, (draft) => {
+      draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running
+      draft[currentNodeIndex].data._waitingRun = false
+    })
+    setNodes(newNodes)
+    const newEdges = produce(edges, (draft) => {
+      const incomeEdges = draft.filter((edge) => {
+        return edge.target === data.node_id
+      })
+
+      incomeEdges.forEach((edge) => {
+        const incomeNode = nodes.find(node => node.id === edge.source)!
+        if (
+          (!incomeNode.data._runningBranchId && edge.sourceHandle === 'source')
+          || (incomeNode.data._runningBranchId && edge.sourceHandle === incomeNode.data._runningBranchId)
+        ) {
+          edge.data = {
+            ...edge.data,
+            _sourceRunningStatus: incomeNode.data._runningStatus,
+            _targetRunningStatus: NodeRunningStatus.Running,
+            _waitingRun: false,
+          }
+        }
+      })
+    })
+    setEdges(newEdges)
+  }, [workflowStore, store, reactflow])
+
+  return {
+    handleWorkflowNodeStarted,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts
new file mode 100644
index 0000000000..8ba6220818
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts
@@ -0,0 +1,44 @@
+import {
+  useWorkflowAgentLog,
+  useWorkflowFailed,
+  useWorkflowFinished,
+  useWorkflowNodeFinished,
+  useWorkflowNodeIterationFinished,
+  useWorkflowNodeIterationNext,
+  useWorkflowNodeIterationStarted,
+  useWorkflowNodeRetry,
+  useWorkflowNodeStarted,
+  useWorkflowStarted,
+  useWorkflowTextChunk,
+  useWorkflowTextReplace,
+} from '.'
+
+export const useWorkflowRunEvent = () => {
+  const { handleWorkflowStarted } = useWorkflowStarted()
+  const { handleWorkflowFinished } = useWorkflowFinished()
+  const { handleWorkflowFailed } = useWorkflowFailed()
+  const { handleWorkflowNodeStarted } = useWorkflowNodeStarted()
+  const { handleWorkflowNodeFinished } = useWorkflowNodeFinished()
+  const { handleWorkflowNodeIterationStarted } = useWorkflowNodeIterationStarted()
+  const { handleWorkflowNodeIterationNext } = useWorkflowNodeIterationNext()
+  const { handleWorkflowNodeIterationFinished } = useWorkflowNodeIterationFinished()
+  const { handleWorkflowNodeRetry } = useWorkflowNodeRetry()
+  const { handleWorkflowTextChunk } = useWorkflowTextChunk()
+  const { handleWorkflowTextReplace } = useWorkflowTextReplace()
+  const { handleWorkflowAgentLog } = useWorkflowAgentLog()
+
+  return {
+    handleWorkflowStarted,
+    handleWorkflowFinished,
+    handleWorkflowFailed,
+    handleWorkflowNodeStarted,
+    handleWorkflowNodeFinished,
+    handleWorkflowNodeIterationStarted,
+    handleWorkflowNodeIterationNext,
+    handleWorkflowNodeIterationFinished,
+    handleWorkflowNodeRetry,
+    handleWorkflowTextChunk,
+    handleWorkflowTextReplace,
+    handleWorkflowAgentLog,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts
new file mode 100644
index 0000000000..f9911313cc
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts
@@ -0,0 +1,58 @@
+import { useCallback } from 'react'
+import { useStoreApi } from 'reactflow'
+import produce from 'immer'
+import type { WorkflowStartedResponse } from '@/types/workflow'
+import { WorkflowRunningStatus } from '@/app/components/workflow/types'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowStarted = () => {
+  const store = useStoreApi()
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowStarted = useCallback((params: WorkflowStartedResponse) => {
+    const { task_id, data } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+      setIterParallelLogMap,
+    } = workflowStore.getState()
+    const {
+      getNodes,
+      setNodes,
+      edges,
+      setEdges,
+    } = store.getState()
+    setIterParallelLogMap(new Map())
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.task_id = task_id
+      draft.result = {
+        ...draft?.result,
+        ...data,
+        status: WorkflowRunningStatus.Running,
+      }
+    }))
+    const nodes = getNodes()
+    const newNodes = produce(nodes, (draft) => {
+      draft.forEach((node) => {
+        node.data._waitingRun = true
+        node.data._runningBranchId = undefined
+      })
+    })
+    setNodes(newNodes)
+    const newEdges = produce(edges, (draft) => {
+      draft.forEach((edge) => {
+        edge.data = {
+          ...edge.data,
+          _sourceRunningStatus: undefined,
+          _targetRunningStatus: undefined,
+          _waitingRun: true,
+        }
+      })
+    })
+    setEdges(newEdges)
+  }, [workflowStore, store])
+
+  return {
+    handleWorkflowStarted,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts
new file mode 100644
index 0000000000..c086e57697
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts
@@ -0,0 +1,25 @@
+import { useCallback } from 'react'
+import produce from 'immer'
+import type { TextChunkResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowTextChunk = () => {
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowTextChunk = useCallback((params: TextChunkResponse) => {
+    const { data: { text } } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.resultTabActive = true
+      draft.resultText += text
+    }))
+  }, [workflowStore])
+
+  return {
+    handleWorkflowTextChunk,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts
new file mode 100644
index 0000000000..a00530932d
--- /dev/null
+++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts
@@ -0,0 +1,23 @@
+import { useCallback } from 'react'
+import produce from 'immer'
+import type { TextReplaceResponse } from '@/types/workflow'
+import { useWorkflowStore } from '@/app/components/workflow/store'
+
+export const useWorkflowTextReplace = () => {
+  const workflowStore = useWorkflowStore()
+
+  const handleWorkflowTextReplace = useCallback((params: TextReplaceResponse) => {
+    const { data: { text } } = params
+    const {
+      workflowRunningData,
+      setWorkflowRunningData,
+    } = workflowStore.getState()
+    setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
+      draft.resultText = text
+    }))
+  }, [workflowStore])
+
+  return {
+    handleWorkflowTextReplace,
+  }
+}
diff --git a/web/app/components/workflow/hooks/use-workflow-run.ts b/web/app/components/workflow/hooks/use-workflow-run.ts
index 53a6b58465..8ed5583c5b 100644
--- a/web/app/components/workflow/hooks/use-workflow-run.ts
+++ b/web/app/components/workflow/hooks/use-workflow-run.ts
@@ -8,24 +8,16 @@ import { v4 as uuidV4 } from 'uuid'
 import { usePathname } from 'next/navigation'
 import { useWorkflowStore } from '../store'
 import { useNodesSyncDraft } from '../hooks'
-import {
-  BlockEnum,
-  NodeRunningStatus,
-  WorkflowRunningStatus,
-} from '../types'
-import { DEFAULT_ITER_TIMES } from '../constants'
+import { WorkflowRunningStatus } from '../types'
 import { useWorkflowUpdate } from './use-workflow-interactions'
+import { useWorkflowRunEvent } from './use-workflow-run-event/use-workflow-run-event'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import type { IOtherOptions } from '@/service/base'
 import { ssePost } from '@/service/base'
 import { stopWorkflowRun } from '@/service/workflow'
 import { useFeaturesStore } from '@/app/components/base/features/hooks'
 import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
-import {
-  getFilesInLogs,
-} from '@/app/components/base/file-uploader/utils'
-import { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types'
-import type { NodeTracing, VersionHistory } from '@/types/workflow'
+import type { VersionHistory } from '@/types/workflow'
 
 export const useWorkflowRun = () => {
   const store = useStoreApi()
@@ -35,6 +27,20 @@ export const useWorkflowRun = () => {
   const { doSyncWorkflowDraft } = useNodesSyncDraft()
   const { handleUpdateWorkflowCanvas } = useWorkflowUpdate()
   const pathname = usePathname()
+  const {
+    handleWorkflowStarted,
+    handleWorkflowFinished,
+    handleWorkflowFailed,
+    handleWorkflowNodeStarted,
+    handleWorkflowNodeFinished,
+    handleWorkflowNodeIterationStarted,
+    handleWorkflowNodeIterationNext,
+    handleWorkflowNodeIterationFinished,
+    handleWorkflowNodeRetry,
+    handleWorkflowAgentLog,
+    handleWorkflowTextChunk,
+    handleWorkflowTextReplace,
+  } = useWorkflowRunEvent()
 
   const handleBackupDraft = useCallback(() => {
     const {
@@ -113,6 +119,7 @@ export const useWorkflowRun = () => {
       onIterationNext,
       onIterationFinish,
       onNodeRetry,
+      onAgentLog,
       onError,
       ...restCallback
     } = callback || {}
@@ -132,8 +139,6 @@ export const useWorkflowRun = () => {
     if (appDetail?.mode === 'workflow')
       url = `/apps/${appDetail.id}/workflows/draft/run`
 
-    let prevNodeId = ''
-
     const {
       setWorkflowRunningData,
     } = workflowStore.getState()
@@ -166,584 +171,96 @@ export const useWorkflowRun = () => {
       },
       {
         onWorkflowStarted: (params) => {
-          const { task_id, data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            setIterParallelLogMap,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-            edges,
-            setEdges,
-          } = store.getState()
-          setIterParallelLogMap(new Map())
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.task_id = task_id
-            draft.result = {
-              ...draft?.result,
-              ...data,
-              status: WorkflowRunningStatus.Running,
-            }
-          }))
-          const nodes = getNodes()
-          const newNodes = produce(nodes, (draft) => {
-            draft.forEach((node) => {
-              node.data._waitingRun = true
-              node.data._runningBranchId = undefined
-            })
-          })
-          setNodes(newNodes)
-          const newEdges = produce(edges, (draft) => {
-            draft.forEach((edge) => {
-              edge.data = {
-                ...edge.data,
-                _sourceRunningStatus: undefined,
-                _targetRunningStatus: undefined,
-                _waitingRun: true,
-              }
-            })
-          })
-          setEdges(newEdges)
+          handleWorkflowStarted(params)
 
           if (onWorkflowStarted)
             onWorkflowStarted(params)
         },
         onWorkflowFinished: (params) => {
-          const { data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-          } = workflowStore.getState()
-
-          const isStringOutput = data.outputs && Object.keys(data.outputs).length === 1 && typeof data.outputs[Object.keys(data.outputs)[0]] === 'string'
-
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.result = {
-              ...draft.result,
-              ...data,
-              files: getFilesInLogs(data.outputs),
-            } as any
-            if (isStringOutput) {
-              draft.resultTabActive = true
-              draft.resultText = data.outputs[Object.keys(data.outputs)[0]]
-            }
-          }))
-
-          prevNodeId = ''
+          handleWorkflowFinished(params)
 
           if (onWorkflowFinished)
             onWorkflowFinished(params)
         },
         onError: (params) => {
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-          } = workflowStore.getState()
-
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.result = {
-              ...draft.result,
-              status: WorkflowRunningStatus.Failed,
-            }
-          }))
+          handleWorkflowFailed()
 
           if (onError)
             onError(params)
         },
         onNodeStarted: (params) => {
-          const { data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            iterParallelLogMap,
-            setIterParallelLogMap,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-            edges,
-            setEdges,
-            transform,
-          } = store.getState()
-          const nodes = getNodes()
-          const node = nodes.find(node => node.id === data.node_id)
-          if (node?.parentId) {
-            setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-              const tracing = draft.tracing!
-              const iterations = tracing.find(trace => trace.node_id === node?.parentId)
-              const currIteration = iterations?.details![node.data.iteration_index] || iterations?.details![iterations.details!.length - 1]
-              if (!data.parallel_run_id) {
-                currIteration?.push({
-                  ...data,
-                  status: NodeRunningStatus.Running,
-                } as any)
-              }
-              else {
-                const nodeId = iterations?.node_id as string
-                if (!iterParallelLogMap.has(nodeId as string))
-                  iterParallelLogMap.set(iterations?.node_id as string, new Map())
+          handleWorkflowNodeStarted(
+            params,
+            {
+              clientWidth,
+              clientHeight,
+            },
+          )
 
-                const currentIterLogMap = iterParallelLogMap.get(nodeId)!
-                if (!currentIterLogMap.has(data.parallel_run_id))
-                  currentIterLogMap.set(data.parallel_run_id, [{ ...data, status: NodeRunningStatus.Running } as any])
-                else
-                  currentIterLogMap.get(data.parallel_run_id)!.push({ ...data, status: NodeRunningStatus.Running } as any)
-                setIterParallelLogMap(iterParallelLogMap)
-                if (iterations)
-                  iterations.details = Array.from(currentIterLogMap.values())
-              }
-            }))
-          }
-          else {
-            setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-              draft.tracing!.push({
-                ...data,
-                status: NodeRunningStatus.Running,
-              } as any)
-            }))
-
-            const {
-              setViewport,
-            } = reactflow
-            const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id)
-            const currentNode = nodes[currentNodeIndex]
-            const position = currentNode.position
-            const zoom = transform[2]
-
-            if (!currentNode.parentId) {
-              setViewport({
-                x: (clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom,
-                y: (clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom,
-                zoom: transform[2],
-              })
-            }
-            const newNodes = produce(nodes, (draft) => {
-              draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running
-              draft[currentNodeIndex].data._waitingRun = false
-            })
-            setNodes(newNodes)
-            const newEdges = produce(edges, (draft) => {
-              const incomeEdges = draft.filter((edge) => {
-                return edge.target === data.node_id
-              })
-
-              incomeEdges.forEach((edge) => {
-                const incomeNode = nodes.find(node => node.id === edge.source)!
-                if (
-                  (!incomeNode.data._runningBranchId && edge.sourceHandle === 'source')
-                  || (incomeNode.data._runningBranchId && edge.sourceHandle === incomeNode.data._runningBranchId)
-                ) {
-                  edge.data = {
-                    ...edge.data,
-                    _sourceRunningStatus: incomeNode.data._runningStatus,
-                    _targetRunningStatus: NodeRunningStatus.Running,
-                    _waitingRun: false,
-                  }
-                }
-              })
-            })
-            setEdges(newEdges)
-          }
           if (onNodeStarted)
             onNodeStarted(params)
         },
         onNodeFinished: (params) => {
-          const { data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            iterParallelLogMap,
-            setIterParallelLogMap,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-            edges,
-            setEdges,
-          } = store.getState()
-          const nodes = getNodes()
-          const nodeParentId = nodes.find(node => node.id === data.node_id)!.parentId
-          if (nodeParentId) {
-            if (!data.execution_metadata.parallel_mode_run_id) {
-              setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-                const tracing = draft.tracing!
-                const iterations = tracing.find(trace => trace.node_id === nodeParentId) // the iteration node
-
-                if (iterations && iterations.details) {
-                  const iterationIndex = data.execution_metadata?.iteration_index || 0
-                  if (!iterations.details[iterationIndex])
-                    iterations.details[iterationIndex] = []
-
-                  const currIteration = iterations.details[iterationIndex]
-                  const nodeIndex = currIteration.findIndex(node =>
-                    node.node_id === data.node_id && (
-                      node.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || node.parallel_id === data.execution_metadata?.parallel_id),
-                  )
-                  if (nodeIndex !== -1) {
-                    currIteration[nodeIndex] = {
-                      ...currIteration[nodeIndex],
-                      ...(currIteration[nodeIndex].retryDetail
-                        ? { retryDetail: currIteration[nodeIndex].retryDetail }
-                        : {}),
-                      ...data,
-                    } as any
-                  }
-                  else {
-                    currIteration.push({
-                      ...data,
-                    } as any)
-                  }
-                }
-              }))
-            }
-            else {
-              // open parallel mode
-              setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-                const tracing = draft.tracing!
-                const iterations = tracing.find(trace => trace.node_id === nodeParentId) // the iteration node
-
-                if (iterations && iterations.details) {
-                  const iterRunID = data.execution_metadata?.parallel_mode_run_id
-
-                  const currIteration = iterParallelLogMap.get(iterations.node_id)?.get(iterRunID)
-                  const nodeIndex = currIteration?.findIndex(node =>
-                    node.node_id === data.node_id && (
-                      node?.parallel_run_id === data.execution_metadata?.parallel_mode_run_id),
-                  )
-                  if (currIteration) {
-                    if (nodeIndex !== undefined && nodeIndex !== -1) {
-                      currIteration[nodeIndex] = {
-                        ...currIteration[nodeIndex],
-                        ...data,
-                      } as any
-                    }
-                    else {
-                      currIteration.push({
-                        ...data,
-                      } as any)
-                    }
-                  }
-                  setIterParallelLogMap(iterParallelLogMap)
-                  const iterLogMap = iterParallelLogMap.get(iterations.node_id)
-                  if (iterLogMap)
-                    iterations.details = Array.from(iterLogMap.values())
-                }
-              }))
-            }
-          }
-          else {
-            setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-              const currentIndex = draft.tracing!.findIndex((trace) => {
-                if (!trace.execution_metadata?.parallel_id)
-                  return trace.node_id === data.node_id
-                return trace.node_id === data.node_id && trace.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id
-              })
-              if (currentIndex > -1 && draft.tracing) {
-                draft.tracing[currentIndex] = {
-                  ...data,
-                  ...(draft.tracing[currentIndex].extras
-                    ? { extras: draft.tracing[currentIndex].extras }
-                    : {}),
-                  ...(draft.tracing[currentIndex].retryDetail
-                    ? { retryDetail: draft.tracing[currentIndex].retryDetail }
-                    : {}),
-                } as any
-              }
-            }))
-            const newNodes = produce(nodes, (draft) => {
-              const currentNode = draft.find(node => node.id === data.node_id)!
-              currentNode.data._runningStatus = data.status as any
-              if (data.status === NodeRunningStatus.Exception) {
-                if (data.execution_metadata.error_strategy === ErrorHandleTypeEnum.failBranch)
-                  currentNode.data._runningBranchId = ErrorHandleTypeEnum.failBranch
-              }
-              else {
-                if (data.node_type === BlockEnum.IfElse)
-                  currentNode.data._runningBranchId = data?.outputs?.selected_case_id
-
-                if (data.node_type === BlockEnum.QuestionClassifier)
-                  currentNode.data._runningBranchId = data?.outputs?.class_id
-              }
-            })
-            setNodes(newNodes)
-            const newEdges = produce(edges, (draft) => {
-              const incomeEdges = draft.filter((edge) => {
-                return edge.target === data.node_id
-              })
-              incomeEdges.forEach((edge) => {
-                edge.data = {
-                  ...edge.data,
-                  _targetRunningStatus: data.status as any,
-                }
-              })
-            })
-            setEdges(newEdges)
-            prevNodeId = data.node_id
-          }
+          handleWorkflowNodeFinished(params)
 
           if (onNodeFinished)
             onNodeFinished(params)
         },
         onIterationStart: (params) => {
-          const { data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            setIterTimes,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-            edges,
-            setEdges,
-            transform,
-          } = store.getState()
-          const nodes = getNodes()
-          setIterTimes(DEFAULT_ITER_TIMES)
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.tracing!.push({
-              ...data,
-              status: NodeRunningStatus.Running,
-              details: [],
-              iterDurationMap: {},
-            } as any)
-          }))
-
-          const {
-            setViewport,
-          } = reactflow
-          const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id)
-          const currentNode = nodes[currentNodeIndex]
-          const position = currentNode.position
-          const zoom = transform[2]
-
-          if (!currentNode.parentId) {
-            setViewport({
-              x: (clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom,
-              y: (clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom,
-              zoom: transform[2],
-            })
-          }
-          const newNodes = produce(nodes, (draft) => {
-            draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running
-            draft[currentNodeIndex].data._iterationLength = data.metadata.iterator_length
-            draft[currentNodeIndex].data._waitingRun = false
-          })
-          setNodes(newNodes)
-          const newEdges = produce(edges, (draft) => {
-            const incomeEdges = draft.filter(edge => edge.target === data.node_id)
-
-            incomeEdges.forEach((edge) => {
-              edge.data = {
-                ...edge.data,
-                _sourceRunningStatus: nodes.find(node => node.id === edge.source)!.data._runningStatus,
-                _targetRunningStatus: NodeRunningStatus.Running,
-                _waitingRun: false,
-              }
-            })
-          })
-          setEdges(newEdges)
+          handleWorkflowNodeIterationStarted(
+            params,
+            {
+              clientWidth,
+              clientHeight,
+            },
+          )
 
           if (onIterationStart)
             onIterationStart(params)
         },
         onIterationNext: (params) => {
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            iterTimes,
-            setIterTimes,
-          } = workflowStore.getState()
-
-          const { data } = params
-          const {
-            getNodes,
-            setNodes,
-          } = store.getState()
-
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            const iteration = draft.tracing!.find(trace => trace.node_id === data.node_id)
-            if (iteration) {
-              if (iteration.iterDurationMap && data.duration)
-                iteration.iterDurationMap[data.parallel_mode_run_id ?? `${data.index - 1}`] = data.duration
-              if (iteration.details!.length >= iteration.metadata.iterator_length!)
-                return
-            }
-            if (!data.parallel_mode_run_id)
-              iteration?.details!.push([])
-          }))
-          const nodes = getNodes()
-          const newNodes = produce(nodes, (draft) => {
-            const currentNode = draft.find(node => node.id === data.node_id)!
-            currentNode.data._iterationIndex = iterTimes
-            setIterTimes(iterTimes + 1)
-          })
-          setNodes(newNodes)
+          handleWorkflowNodeIterationNext(params)
 
           if (onIterationNext)
             onIterationNext(params)
         },
         onIterationFinish: (params) => {
-          const { data } = params
-
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            setIterTimes,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-          } = store.getState()
-          const nodes = getNodes()
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            const tracing = draft.tracing!
-            const currIterationNode = tracing.find(trace => trace.node_id === data.node_id)
-            if (currIterationNode) {
-              Object.assign(currIterationNode, {
-                ...data,
-                status: NodeRunningStatus.Succeeded,
-              })
-            }
-          }))
-          setIterTimes(DEFAULT_ITER_TIMES)
-          const newNodes = produce(nodes, (draft) => {
-            const currentNode = draft.find(node => node.id === data.node_id)!
-
-            currentNode.data._runningStatus = data.status
-          })
-          setNodes(newNodes)
-
-          prevNodeId = data.node_id
+          handleWorkflowNodeIterationFinished(params)
 
           if (onIterationFinish)
             onIterationFinish(params)
         },
         onNodeRetry: (params) => {
-          const { data } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-            iterParallelLogMap,
-            setIterParallelLogMap,
-          } = workflowStore.getState()
-          const {
-            getNodes,
-            setNodes,
-          } = store.getState()
-
-          const nodes = getNodes()
-          const currentNode = nodes.find(node => node.id === data.node_id)!
-          const nodeParent = nodes.find(node => node.id === currentNode.parentId)
-          if (nodeParent) {
-            if (!data.execution_metadata.parallel_mode_run_id) {
-              setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-                const tracing = draft.tracing!
-                const iteration = tracing.find(trace => trace.node_id === nodeParent.id)
-
-                if (iteration && iteration.details?.length) {
-                  const currentNodeRetry = iteration.details[nodeParent.data._iterationIndex - 1]?.find(item => item.node_id === data.node_id)
-
-                  if (currentNodeRetry) {
-                    if (currentNodeRetry?.retryDetail)
-                      currentNodeRetry?.retryDetail.push(data as NodeTracing)
-                    else
-                      currentNodeRetry.retryDetail = [data as NodeTracing]
-                  }
-                }
-              }))
-            }
-            else {
-              setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-                const tracing = draft.tracing!
-                const iteration = tracing.find(trace => trace.node_id === nodeParent.id)
-
-                if (iteration && iteration.details?.length) {
-                  const iterRunID = data.execution_metadata?.parallel_mode_run_id
-
-                  const currIteration = iterParallelLogMap.get(iteration.node_id)?.get(iterRunID)
-                  const currentNodeRetry = currIteration?.find(item => item.node_id === data.node_id)
-
-                  if (currentNodeRetry) {
-                    if (currentNodeRetry?.retryDetail)
-                      currentNodeRetry?.retryDetail.push(data as NodeTracing)
-                    else
-                      currentNodeRetry.retryDetail = [data as NodeTracing]
-                  }
-                  setIterParallelLogMap(iterParallelLogMap)
-                  const iterLogMap = iterParallelLogMap.get(iteration.node_id)
-                  if (iterLogMap)
-                    iteration.details = Array.from(iterLogMap.values())
-                }
-              }))
-            }
-          }
-          else {
-            setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-              const tracing = draft.tracing!
-              const currentRetryNodeIndex = tracing.findIndex(trace => trace.node_id === data.node_id)
-
-              if (currentRetryNodeIndex > -1) {
-                const currentRetryNode = tracing[currentRetryNodeIndex]
-                if (currentRetryNode.retryDetail)
-                  draft.tracing![currentRetryNodeIndex].retryDetail!.push(data as NodeTracing)
-                else
-                  draft.tracing![currentRetryNodeIndex].retryDetail = [data as NodeTracing]
-              }
-            }))
-          }
-          const newNodes = produce(nodes, (draft) => {
-            const currentNode = draft.find(node => node.id === data.node_id)!
-
-            currentNode.data._retryIndex = data.retry_index
-          })
-          setNodes(newNodes)
+          handleWorkflowNodeRetry(params)
 
           if (onNodeRetry)
             onNodeRetry(params)
         },
-        onParallelBranchStarted: (params) => {
-          // console.log(params, 'parallel start')
-        },
-        onParallelBranchFinished: (params) => {
-          // console.log(params, 'finished')
+        onAgentLog: (params) => {
+          handleWorkflowAgentLog(params)
+
+          if (onAgentLog)
+            onAgentLog(params)
         },
         onTextChunk: (params) => {
-          const { data: { text } } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-          } = workflowStore.getState()
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.resultTabActive = true
-            draft.resultText += text
-          }))
+          handleWorkflowTextChunk(params)
         },
         onTextReplace: (params) => {
-          const { data: { text } } = params
-          const {
-            workflowRunningData,
-            setWorkflowRunningData,
-          } = workflowStore.getState()
-          setWorkflowRunningData(produce(workflowRunningData!, (draft) => {
-            draft.resultText = text
-          }))
+          handleWorkflowTextReplace(params)
         },
-        onTTSChunk: (messageId: string, audio: string, audioType?: string) => {
+        onTTSChunk: (messageId: string, audio: string) => {
           if (!audio || audio === '')
             return
           player.playAudioWithAudio(audio, true)
           AudioPlayerManager.getInstance().resetMsgId(messageId)
         },
-        onTTSEnd: (messageId: string, audio: string, audioType?: string) => {
+        onTTSEnd: (messageId: string, audio: string) => {
           player.playAudioWithAudio(audio, false)
         },
         ...restCallback,
       },
     )
-  }, [store, reactflow, workflowStore, doSyncWorkflowDraft])
+  }, [store, workflowStore, doSyncWorkflowDraft, handleWorkflowStarted, handleWorkflowFinished, handleWorkflowFailed, handleWorkflowNodeStarted, handleWorkflowNodeFinished, handleWorkflowNodeIterationStarted, handleWorkflowNodeIterationNext, handleWorkflowNodeIterationFinished, handleWorkflowNodeRetry, handleWorkflowTextChunk, handleWorkflowTextReplace, handleWorkflowAgentLog, pathname])
 
   const handleStopRun = useCallback((taskId: string) => {
     const appId = useAppStore.getState().appDetail?.id
diff --git a/web/app/components/workflow/hooks/use-workflow.ts b/web/app/components/workflow/hooks/use-workflow.ts
index 2eafb4ad40..0f6ae59b6e 100644
--- a/web/app/components/workflow/hooks/use-workflow.ts
+++ b/web/app/components/workflow/hooks/use-workflow.ts
@@ -484,7 +484,6 @@ export const useWorkflowInit = () => {
           return acc
         }, {} as Record<string, string>),
         environmentVariables: res.environment_variables?.map(env => env.value_type === 'secret' ? { ...env, value: '[__HIDDEN__]' } : env) || [],
-        // #TODO chatVar sync#
         conversationVariables: res.conversation_variables || [],
       })
       setSyncWorkflowDraftHash(res.hash)
diff --git a/web/app/components/workflow/index.tsx b/web/app/components/workflow/index.tsx
index 2a0572becc..0510109b39 100644
--- a/web/app/components/workflow/index.tsx
+++ b/web/app/components/workflow/index.tsx
@@ -72,6 +72,7 @@ import SyncingDataModal from './syncing-data-modal'
 import UpdateDSLModal from './update-dsl-modal'
 import DSLExportConfirmModal from './dsl-export-confirm-modal'
 import LimitTips from './limit-tips'
+import PluginDependency from './plugin-dependency'
 import {
   useStore,
   useWorkflowStore,
@@ -327,6 +328,7 @@ const Workflow: FC<WorkflowProps> = memo(({
         )
       }
       <LimitTips />
+      <PluginDependency />
       <ReactFlow
         nodeTypes={nodeTypes}
         edgeTypes={edgeTypes}
diff --git a/web/app/components/workflow/nodes/_base/components/add-button.tsx b/web/app/components/workflow/nodes/_base/components/add-button.tsx
index 1e7323c8d7..c7fdcaa009 100644
--- a/web/app/components/workflow/nodes/_base/components/add-button.tsx
+++ b/web/app/components/workflow/nodes/_base/components/add-button.tsx
@@ -7,7 +7,7 @@ import {
 import cn from '@/utils/classnames'
 import Button from '@/app/components/base/button'
 
-type Props = {
+interface Props {
   className?: string
   text: string
   onClick: () => void
diff --git a/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx b/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx
new file mode 100644
index 0000000000..a96654c4d9
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx
@@ -0,0 +1,228 @@
+import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger } from '@/app/components/base/portal-to-follow-elem'
+import type { ReactNode } from 'react'
+import { memo, useEffect, useMemo, useRef, useState } from 'react'
+import type { Strategy } from './agent-strategy'
+import classNames from '@/utils/classnames'
+import { RiArrowDownSLine, RiErrorWarningFill } from '@remixicon/react'
+import Tooltip from '@/app/components/base/tooltip'
+import Link from 'next/link'
+import { InstallPluginButton } from './install-plugin-button'
+import ViewTypeSelect, { ViewType } from '../../../block-selector/view-type-select'
+import SearchInput from '@/app/components/base/search-input'
+import Tools from '../../../block-selector/tools'
+import { useTranslation } from 'react-i18next'
+import { useStrategyProviders } from '@/service/use-strategy'
+import { PluginType, type StrategyPluginDetail } from '@/app/components/plugins/types'
+import type { ToolWithProvider } from '../../../types'
+import { CollectionType } from '@/app/components/tools/types'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+import { useStrategyInfo } from '../../agent/use-config'
+import { SwitchPluginVersion } from './switch-plugin-version'
+import PluginList from '@/app/components/workflow/block-selector/market-place-plugin/list'
+import { useMarketplacePlugins } from '@/app/components/plugins/marketplace/hooks'
+import { ToolTipContent } from '@/app/components/base/tooltip/content'
+
+const NotFoundWarn = (props: {
+  title: ReactNode,
+  description: ReactNode
+}) => {
+  const { title, description } = props
+
+  const { t } = useTranslation()
+  return <Tooltip
+    popupContent={
+      <div className='space-y-1 text-xs'>
+        <h3 className='text-text-primary font-semibold'>
+          {title}
+        </h3>
+        <p className='text-text-secondary tracking-tight'>
+          {description}
+        </p>
+        <p>
+          <Link href={'/plugins'} className='text-text-accent tracking-tight'>
+            {t('workflow.nodes.agent.linkToPlugin')}
+          </Link>
+        </p>
+      </div>
+    }
+    needsDelay
+  >
+    <div>
+      <RiErrorWarningFill className='text-text-destructive size-4' />
+    </div>
+  </Tooltip>
+}
+
+function formatStrategy(input: StrategyPluginDetail[], getIcon: (i: string) => string): ToolWithProvider[] {
+  return input.map((item) => {
+    const res: ToolWithProvider = {
+      id: item.plugin_unique_identifier,
+      author: item.declaration.identity.author,
+      name: item.declaration.identity.name,
+      description: item.declaration.identity.description as any,
+      plugin_id: item.plugin_id,
+      icon: getIcon(item.declaration.identity.icon),
+      label: item.declaration.identity.label as any,
+      type: CollectionType.all,
+      tools: item.declaration.strategies.map(strategy => ({
+        name: strategy.identity.name,
+        author: strategy.identity.author,
+        label: strategy.identity.label as any,
+        description: strategy.description,
+        parameters: strategy.parameters as any,
+        output_schema: strategy.output_schema,
+        labels: [],
+      })),
+      team_credentials: {},
+      is_team_authorization: true,
+      allow_delete: false,
+      labels: [],
+    }
+    return res
+  })
+}
+
+export type AgentStrategySelectorProps = {
+  value?: Strategy,
+  onChange: (value?: Strategy) => void,
+}
+
+export const AgentStrategySelector = memo((props: AgentStrategySelectorProps) => {
+  const { value, onChange } = props
+  const [open, setOpen] = useState(false)
+  const [viewType, setViewType] = useState<ViewType>(ViewType.flat)
+  const [query, setQuery] = useState('')
+  const stra = useStrategyProviders()
+  const { getIconUrl } = useGetIcon()
+  const list = stra.data ? formatStrategy(stra.data, getIconUrl) : undefined
+  const filteredTools = useMemo(() => {
+    if (!list) return []
+    return list.filter(tool => tool.name.toLowerCase().includes(query.toLowerCase()))
+  }, [query, list])
+  const { strategyStatus, refetch: refetchStrategyInfo } = useStrategyInfo(
+    value?.agent_strategy_provider_name,
+    value?.agent_strategy_name,
+  )
+
+  const showPluginNotInstalledWarn = strategyStatus?.plugin?.source === 'external'
+    && !strategyStatus.plugin.installed && !!value
+
+  const showUnsupportedStrategy = strategyStatus?.plugin.source === 'external'
+    && !strategyStatus?.isExistInPlugin && !!value
+
+  const showSwitchVersion = !strategyStatus?.isExistInPlugin
+    && strategyStatus?.plugin.source === 'marketplace' && strategyStatus.plugin.installed && !!value
+
+  const showInstallButton = !strategyStatus?.isExistInPlugin
+    && strategyStatus?.plugin.source === 'marketplace' && !strategyStatus.plugin.installed && !!value
+
+  const icon = list?.find(
+    coll => coll.tools?.find(tool => tool.name === value?.agent_strategy_name),
+  )?.icon as string | undefined
+  const { t } = useTranslation()
+
+  const wrapElemRef = useRef<HTMLDivElement>(null)
+
+  const {
+    queryPluginsWithDebounced: fetchPlugins,
+    plugins: notInstalledPlugins = [],
+  } = useMarketplacePlugins()
+
+  useEffect(() => {
+    if (query) {
+      fetchPlugins({
+        query,
+        category: PluginType.agent,
+      })
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [query])
+
+  const pluginRef = useRef(null)
+
+  return <PortalToFollowElem open={open} onOpenChange={setOpen} placement='bottom'>
+    <PortalToFollowElemTrigger className='w-full'>
+      <div
+        className='h-8 p-1 gap-0.5 flex items-center rounded-lg bg-components-input-bg-normal w-full hover:bg-state-base-hover-alt select-none'
+        onClick={() => setOpen(o => !o)}
+      >
+        {/* eslint-disable-next-line @next/next/no-img-element */}
+        {icon && <div className='flex items-center justify-center w-6 h-6'><img
+          src={icon}
+          width={20}
+          height={20}
+          className='rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge'
+          alt='icon'
+        /></div>}
+        <p
+          className={classNames(value ? 'text-components-input-text-filled' : 'text-components-input-text-placeholder', 'text-xs px-1')}
+        >
+          {value?.agent_strategy_label || t('workflow.nodes.agent.strategy.selectTip')}
+        </p>
+        <div className='ml-auto flex items-center gap-1'>
+          {showInstallButton && value && <InstallPluginButton
+            onClick={e => e.stopPropagation()}
+            size={'small'}
+            uniqueIdentifier={value.plugin_unique_identifier}
+          />}
+          {showPluginNotInstalledWarn
+            ? <NotFoundWarn
+              title={t('workflow.nodes.agent.pluginNotInstalled')}
+              description={t('workflow.nodes.agent.pluginNotInstalledDesc')}
+            />
+            : showUnsupportedStrategy
+              ? <NotFoundWarn
+                title={t('workflow.nodes.agent.unsupportedStrategy')}
+                description={t('workflow.nodes.agent.strategyNotFoundDesc')}
+              />
+              : <RiArrowDownSLine className='size-4 text-text-tertiary' />
+          }
+          {showSwitchVersion && <SwitchPluginVersion
+            uniqueIdentifier={value.plugin_unique_identifier}
+            tooltip={<ToolTipContent
+              title={t('workflow.nodes.agent.unsupportedStrategy')}>
+              {t('workflow.nodes.agent.strategyNotFoundDescAndSwitchVersion')}
+            </ToolTipContent>}
+            onChange={() => {
+              refetchStrategyInfo()
+            }}
+          />}
+        </div>
+      </div>
+    </PortalToFollowElemTrigger>
+    <PortalToFollowElemContent className='z-10'>
+      <div className='bg-components-panel-bg-blur border-components-panel-border border-[0.5px] rounded-md shadow overflow-hidden w-[388px]'>
+        <header className='p-2 gap-1 flex'>
+          <SearchInput placeholder={t('workflow.nodes.agent.strategy.searchPlaceholder')} value={query} onChange={setQuery} className={'w-full'} />
+          <ViewTypeSelect viewType={viewType} onChange={setViewType} />
+        </header>
+        <main className="md:max-h-[300px] xl:max-h-[400px] 2xl:max-h-[564px] relative overflow-hidden flex flex-col w-full" ref={wrapElemRef}>
+          <Tools
+            tools={filteredTools}
+            viewType={viewType}
+            onSelect={(_, tool) => {
+              onChange({
+                agent_strategy_name: tool!.tool_name,
+                agent_strategy_provider_name: tool!.provider_name,
+                agent_strategy_label: tool!.tool_label,
+                agent_output_schema: tool!.output_schema,
+                plugin_unique_identifier: tool!.provider_id,
+              })
+              setOpen(false)
+            } }
+            className='max-w-none max-h-full h-full overflow-y-auto'
+            indexBarClassName='top-0 xl:top-36' showWorkflowEmpty={false} hasSearchText={false} />
+          <PluginList
+            wrapElemRef={wrapElemRef}
+            list={notInstalledPlugins as any} ref={pluginRef}
+            searchText={query}
+            tags={[]}
+            disableMaxWidth
+          />
+        </main>
+      </div>
+    </PortalToFollowElemContent>
+  </PortalToFollowElem>
+})
+
+AgentStrategySelector.displayName = 'AgentStrategySelector'
diff --git a/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx b/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx
new file mode 100644
index 0000000000..a07686a8f5
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx
@@ -0,0 +1,228 @@
+import type { CredentialFormSchemaNumberInput, CredentialFormSchemaTextInput } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { type CredentialFormSchema, FormTypeEnum, ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import type { ToolVarInputs } from '../../tool/types'
+import ListEmpty from '@/app/components/base/list-empty'
+import { AgentStrategySelector } from './agent-strategy-selector'
+import Link from 'next/link'
+import { useTranslation } from 'react-i18next'
+import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form'
+import { Agent } from '@/app/components/base/icons/src/vender/workflow'
+import { InputNumber } from '@/app/components/base/input-number'
+import Slider from '@/app/components/base/slider'
+import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector'
+import MultipleToolSelector from '@/app/components/plugins/plugin-detail-panel/multiple-tool-selector'
+import Field from './field'
+import { type ComponentProps, memo } from 'react'
+import { useDefaultModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
+import Editor from './prompt/editor'
+import { useWorkflowStore } from '../../../store'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import type { NodeOutPutVar } from '../../../types'
+import type { Node } from 'reactflow'
+
+export type Strategy = {
+  agent_strategy_provider_name: string
+  agent_strategy_name: string
+  agent_strategy_label: string
+  agent_output_schema: Record<string, any>
+  plugin_unique_identifier: string
+}
+
+export type AgentStrategyProps = {
+  strategy?: Strategy
+  onStrategyChange: (strategy?: Strategy) => void
+  formSchema: CredentialFormSchema[]
+  formValue: ToolVarInputs
+  onFormValueChange: (value: ToolVarInputs) => void
+  nodeOutputVars?: NodeOutPutVar[],
+  availableNodes?: Node[],
+  nodeId?: string
+}
+
+type CustomSchema<Type, Field = {}> = Omit<CredentialFormSchema, 'type'> & { type: Type } & Field
+
+type ToolSelectorSchema = CustomSchema<'tool-selector'>
+type MultipleToolSelectorSchema = CustomSchema<'array[tools]'>
+
+type CustomField = ToolSelectorSchema | MultipleToolSelectorSchema
+
+export const AgentStrategy = memo((props: AgentStrategyProps) => {
+  const { strategy, onStrategyChange, formSchema, formValue, onFormValueChange, nodeOutputVars, availableNodes, nodeId } = props
+  const { t } = useTranslation()
+  const defaultModel = useDefaultModel(ModelTypeEnum.textGeneration)
+  const renderI18nObject = useRenderI18nObject()
+  const workflowStore = useWorkflowStore()
+  const {
+    setControlPromptEditorRerenderKey,
+  } = workflowStore.getState()
+  const override: ComponentProps<typeof Form<CustomField>>['override'] = [
+    [FormTypeEnum.textNumber, FormTypeEnum.textInput],
+    (schema, props) => {
+      switch (schema.type) {
+        case FormTypeEnum.textInput: {
+          const def = schema as CredentialFormSchemaTextInput
+          const value = props.value[schema.variable]
+          const onChange = (value: string) => {
+            props.onChange({ ...props.value, [schema.variable]: value })
+          }
+          const handleGenerated = (value: string) => {
+            onChange(value)
+            setControlPromptEditorRerenderKey(Math.random())
+          }
+          return <Editor
+            value={value}
+            onChange={onChange}
+            onGenerated={handleGenerated}
+            title={renderI18nObject(schema.label)}
+            headerClassName='bg-transparent px-0 text-text-secondary system-sm-semibold-uppercase'
+            containerBackgroundClassName='bg-transparent'
+            gradientBorder={false}
+            isSupportPromptGenerator={!!def.auto_generate?.type}
+            titleTooltip={schema.tooltip && renderI18nObject(schema.tooltip)}
+            editorContainerClassName='px-0'
+            availableNodes={availableNodes}
+            nodesOutputVars={nodeOutputVars}
+            isSupportJinja={def.template?.enabled}
+            required={def.required}
+            varList={[]}
+            modelConfig={
+              defaultModel.data
+                ? {
+                  mode: 'chat',
+                  name: defaultModel.data.model,
+                  provider: defaultModel.data.provider.provider,
+                  completion_params: {},
+                } : undefined
+            }
+            placeholderClassName='px-2 py-1'
+            titleClassName='system-sm-semibold-uppercase text-text-secondary text-[13px]'
+            inputClassName='px-2 py-1 bg-components-input-bg-normal focus:bg-components-input-bg-active focus:border-components-input-border-active focus:border rounded-lg'
+          />
+        }
+        case FormTypeEnum.textNumber: {
+          const def = schema as CredentialFormSchemaNumberInput
+          if (!def.max || !def.min)
+            return false
+
+          const defaultValue = schema.default ? Number.parseInt(schema.default) : 1
+          const value = props.value[schema.variable] || defaultValue
+          const onChange = (value: number) => {
+            props.onChange({ ...props.value, [schema.variable]: value })
+          }
+          return <Field
+            title={<>
+              {renderI18nObject(def.label)} {def.required && <span className='text-red-500'>*</span>}
+            </>}
+            tooltip={def.tooltip && renderI18nObject(def.tooltip)}
+            inline
+          >
+            <div className='flex w-[200px] items-center gap-3'>
+              <Slider
+                value={value}
+                onChange={onChange}
+                className='w-full'
+                min={def.min}
+                max={def.max}
+              />
+              <InputNumber
+                value={value}
+                // TODO: maybe empty, handle this
+                onChange={onChange as any}
+                defaultValue={defaultValue}
+                size='sm'
+                min={def.min}
+                max={def.max}
+                className='w-12'
+              />
+            </div>
+          </Field>
+        }
+      }
+    },
+  ]
+  const renderField: ComponentProps<typeof Form<CustomField>>['customRenderField'] = (schema, props) => {
+    switch (schema.type) {
+      case FormTypeEnum.toolSelector: {
+        const value = props.value[schema.variable]
+        const onChange = (value: any) => {
+          props.onChange({ ...props.value, [schema.variable]: value })
+        }
+        return (
+          <Field
+            title={<>
+              {renderI18nObject(schema.label)} {schema.required && <span className='text-red-500'>*</span>}
+            </>}
+            tooltip={schema.tooltip && renderI18nObject(schema.tooltip)}
+          >
+            <ToolSelector
+              nodeId={props.nodeId || ''}
+              nodeOutputVars={props.nodeOutputVars || []}
+              availableNodes={props.availableNodes || []}
+              scope={schema.scope}
+              value={value}
+              onSelect={item => onChange(item)}
+              onDelete={() => onChange(null)}
+            />
+          </Field>
+        )
+      }
+      case FormTypeEnum.multiToolSelector: {
+        const value = props.value[schema.variable]
+        const onChange = (value: any) => {
+          props.onChange({ ...props.value, [schema.variable]: value })
+        }
+        return (
+          <MultipleToolSelector
+            nodeId={props.nodeId || ''}
+            nodeOutputVars={props.nodeOutputVars || []}
+            availableNodes={props.availableNodes || []}
+            scope={schema.scope}
+            value={value || []}
+            label={renderI18nObject(schema.label)}
+            tooltip={schema.tooltip && renderI18nObject(schema.tooltip)}
+            onChange={onChange}
+            supportCollapse
+            required={schema.required}
+          />
+        )
+      }
+    }
+  }
+  return <div className='space-y-2'>
+    <AgentStrategySelector value={strategy} onChange={onStrategyChange} />
+    {
+      strategy
+        ? <div>
+          <Form<CustomField>
+            formSchemas={[
+              ...formSchema,
+            ]}
+            value={formValue}
+            onChange={onFormValueChange}
+            validating={false}
+            showOnVariableMap={{}}
+            isEditMode={true}
+            isAgentStrategy={true}
+            fieldLabelClassName='uppercase'
+            customRenderField={renderField}
+            override={override}
+            nodeId={nodeId}
+            nodeOutputVars={nodeOutputVars || []}
+            availableNodes={availableNodes || []}
+          />
+        </div>
+        : <ListEmpty
+          icon={<Agent className='w-5 h-5 shrink-0 text-text-accent' />}
+          title={t('workflow.nodes.agent.strategy.configureTip')}
+          description={<div className='text-text-tertiary text-xs'>
+            {t('workflow.nodes.agent.strategy.configureTipDesc')} <br />
+            <Link href={'/'} className='text-text-accent-secondary'>
+              {t('workflow.nodes.agent.learnMore')}
+            </Link>
+          </div>}
+        />
+    }
+  </div>
+})
+
+AgentStrategy.displayName = 'AgentStrategy'
diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx
index e2ca592a62..a4885759c4 100644
--- a/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx
+++ b/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx
@@ -25,7 +25,7 @@ import { BubbleX } from '@/app/components/base/icons/src/vender/line/others'
 import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   payload: InputVar
   value: any
   onChange: (value: any) => void
diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx
index 967e796373..e9ac442680 100644
--- a/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx
+++ b/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx
@@ -9,7 +9,7 @@ import { InputVarType } from '@/app/components/workflow/types'
 import AddButton from '@/app/components/base/button/add-button'
 import { RETRIEVAL_OUTPUT_STRUCT } from '@/app/components/workflow/constants'
 
-export type Props = {
+export interface Props {
   className?: string
   label?: string
   inputs: InputVar[]
diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx
index d7e2a953da..2fb873e604 100644
--- a/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx
+++ b/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx
@@ -17,10 +17,10 @@ import ResultPanel from '@/app/components/workflow/run/result-panel'
 import Toast from '@/app/components/base/toast'
 import { TransferMethod } from '@/types/app'
 import { getProcessedFiles } from '@/app/components/base/file-uploader/utils'
-import type { NodeTracing } from '@/types/workflow'
-import RetryResultPanel from '@/app/components/workflow/run/retry-result-panel'
 import type { BlockEnum } from '@/app/components/workflow/types'
 import type { Emoji } from '@/app/components/tools/types'
+import type { SpecialResultPanelProps } from '@/app/components/workflow/run/special-result-panel'
+import SpecialResultPanel from '@/app/components/workflow/run/special-result-panel'
 
 const i18nPrefix = 'workflow.singleRun'
 
@@ -34,13 +34,12 @@ type BeforeRunFormProps = {
   runningStatus: NodeRunningStatus
   result?: JSX.Element
   forms: FormProps[]
-  retryDetails?: NodeTracing[]
-  onRetryDetailBack?: any
-}
+  showSpecialResultPanel?: boolean
+} & Partial<SpecialResultPanelProps>
 
 function formatValue(value: string | any, type: InputVarType) {
   if (type === InputVarType.number)
-    return parseFloat(value)
+    return Number.parseFloat(value)
   if (type === InputVarType.json)
     return JSON.parse(value)
   if (type === InputVarType.contexts) {
@@ -66,8 +65,8 @@ const BeforeRunForm: FC<BeforeRunFormProps> = ({
   runningStatus,
   result,
   forms,
-  retryDetails,
-  onRetryDetailBack = () => { },
+  showSpecialResultPanel,
+  ...restResultPanelParams
 }) => {
   const { t } = useTranslation()
 
@@ -141,24 +140,14 @@ const BeforeRunForm: FC<BeforeRunFormProps> = ({
           </div>
         </div>
         {
-          retryDetails?.length && (
+          showSpecialResultPanel && (
             <div className='h-0 grow overflow-y-auto pb-4'>
-              <RetryResultPanel
-                list={retryDetails.map((item, index) => ({
-                  ...item,
-                  title: `${t('workflow.nodes.common.retry.retry')} ${index + 1}`,
-                  node_type: nodeType!,
-                  extras: {
-                    icon: toolIcon!,
-                  },
-                }))}
-                onBack={onRetryDetailBack}
-              />
+              <SpecialResultPanel {...restResultPanelParams} />
             </div>
           )
         }
         {
-          !retryDetails?.length && (
+          !showSpecialResultPanel && (
             <div className='h-0 grow overflow-y-auto pb-4'>
               <div className='mt-3 px-4 space-y-4'>
                 {forms.map((form, index) => (
diff --git a/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx b/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx
index 7d2698a6d0..71ca0d28ea 100644
--- a/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx
+++ b/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx
@@ -1,8 +1,9 @@
+import type { ReactNode } from 'react'
 import Collapse from '.'
 
 type FieldCollapseProps = {
   title: string
-  children: JSX.Element
+  children: ReactNode
 }
 const FieldCollapse = ({
   title,
diff --git a/web/app/components/workflow/nodes/_base/components/editor/base.tsx b/web/app/components/workflow/nodes/_base/components/editor/base.tsx
index ead88b86dd..9e20a3857f 100644
--- a/web/app/components/workflow/nodes/_base/components/editor/base.tsx
+++ b/web/app/components/workflow/nodes/_base/components/editor/base.tsx
@@ -16,7 +16,7 @@ import useToggleExpend from '@/app/components/workflow/nodes/_base/hooks/use-tog
 import type { FileEntity } from '@/app/components/base/file-uploader/types'
 import FileListInLog from '@/app/components/base/file-uploader/file-list-in-log'
 
-type Props = {
+interface Props {
   className?: string
   title: JSX.Element | string
   headerRight?: JSX.Element
diff --git a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx
index db2425c958..3d667ac700 100644
--- a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx
+++ b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx
@@ -88,7 +88,7 @@ const CodeEditor: FC<Props> = ({
 
       const index = (() => {
         if (match)
-          return parseInt(match[1]!) + 1
+          return Number.parseInt(match[1]!) + 1
 
         return 1
       })()
diff --git a/web/app/components/workflow/nodes/_base/components/field.tsx b/web/app/components/workflow/nodes/_base/components/field.tsx
index e284e91cfc..d5d5ed7394 100644
--- a/web/app/components/workflow/nodes/_base/components/field.tsx
+++ b/web/app/components/workflow/nodes/_base/components/field.tsx
@@ -1,18 +1,17 @@
 'use client'
-import type { FC } from 'react'
+import type { FC, ReactNode } from 'react'
 import React from 'react'
 import {
   RiArrowDownSLine,
 } from '@remixicon/react'
 import { useBoolean } from 'ahooks'
-import type { DefaultTFuncReturn } from 'i18next'
 import cn from '@/utils/classnames'
 import Tooltip from '@/app/components/base/tooltip'
 
 type Props = {
   className?: string
-  title: JSX.Element | string | DefaultTFuncReturn
-  tooltip?: React.ReactNode
+  title: ReactNode
+  tooltip?: ReactNode
   isSubTitle?: boolean
   supportFold?: boolean
   children?: JSX.Element | string | null
@@ -51,7 +50,7 @@ const Field: FC<Props> = ({
         <div className='flex'>
           {operations && <div>{operations}</div>}
           {supportFold && (
-            <RiArrowDownSLine className='w-4 h-4 text-text-tertiary cursor-pointer transform transition-transform' style={{ transform: fold ? 'rotate(-90deg)' : 'rotate(0deg)' }} />
+            <RiArrowDownSLine className='w-4 h-4 text-text-tertiary cursor-pointer transition-transform' style={{ transform: fold ? 'rotate(-90deg)' : 'rotate(0deg)' }} />
           )}
         </div>
       </div>
diff --git a/web/app/components/workflow/nodes/_base/components/group.tsx b/web/app/components/workflow/nodes/_base/components/group.tsx
new file mode 100644
index 0000000000..ad2e3f0596
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/group.tsx
@@ -0,0 +1,25 @@
+import classNames from '@/utils/classnames'
+import type { ComponentProps, FC, PropsWithChildren, ReactNode } from 'react'
+
+export type GroupLabelProps = ComponentProps<'div'>
+
+export const GroupLabel: FC<GroupLabelProps> = (props) => {
+  const { children, className, ...rest } = props
+  return <div {...rest} className={classNames('mb-1 system-2xs-medium-uppercase text-text-tertiary', className)}>
+    {children}
+  </div>
+}
+
+export type Group = PropsWithChildren<{
+  label: ReactNode
+}>
+
+export const Group: FC<Group> = (props) => {
+  const { children, label } = props
+  return <div className={classNames('py-1')}>
+    {label}
+    <div className='space-y-0.5'>
+      {children}
+    </div>
+  </div>
+}
diff --git a/web/app/components/workflow/nodes/_base/components/info-panel.tsx b/web/app/components/workflow/nodes/_base/components/info-panel.tsx
index 983cb9bd0c..e960931d49 100644
--- a/web/app/components/workflow/nodes/_base/components/info-panel.tsx
+++ b/web/app/components/workflow/nodes/_base/components/info-panel.tsx
@@ -1,10 +1,10 @@
 'use client'
-import type { FC } from 'react'
+import type { FC, ReactNode } from 'react'
 import React from 'react'
 
 type Props = {
   title: string
-  content: string | JSX.Element
+  content: ReactNode
 }
 
 const InfoPanel: FC<Props> = ({
diff --git a/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx b/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx
index c64f98093a..0210db2f8e 100644
--- a/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx
+++ b/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx
@@ -34,7 +34,7 @@ const InputNumberWithSlider: FC<Props> = ({
   }, [defaultValue, max, min, onChange, value])
 
   const handleChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
-    onChange(parseFloat(e.target.value))
+    onChange(Number.parseFloat(e.target.value))
   }, [onChange])
 
   return (
diff --git a/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx b/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx
new file mode 100644
index 0000000000..dc5930e15b
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx
@@ -0,0 +1,45 @@
+import Button from '@/app/components/base/button'
+import { RiInstallLine, RiLoader2Line } from '@remixicon/react'
+import type { ComponentProps, MouseEventHandler } from 'react'
+import classNames from '@/utils/classnames'
+import { useTranslation } from 'react-i18next'
+import { useCheckInstalled, useInstallPackageFromMarketPlace } from '@/service/use-plugins'
+
+type InstallPluginButtonProps = Omit<ComponentProps<typeof Button>, 'children' | 'loading'> & {
+  uniqueIdentifier: string
+  onSuccess?: () => void
+}
+
+export const InstallPluginButton = (props: InstallPluginButtonProps) => {
+  const { className, uniqueIdentifier, onSuccess, ...rest } = props
+  const { t } = useTranslation()
+  const manifest = useCheckInstalled({
+    pluginIds: [uniqueIdentifier],
+    enabled: !!uniqueIdentifier,
+  })
+  const install = useInstallPackageFromMarketPlace()
+  const isLoading = manifest.isLoading || install.isPending
+  // await for refetch to get the new installed plugin, when manifest refetch, this component will unmount
+  || install.isSuccess
+  const handleInstall: MouseEventHandler = (e) => {
+    e.stopPropagation()
+    install.mutate(uniqueIdentifier, {
+      onSuccess: async () => {
+        await manifest.refetch()
+        onSuccess?.()
+      },
+    })
+  }
+  if (!manifest.data) return null
+  if (manifest.data.plugins.some(plugin => plugin.id === uniqueIdentifier)) return null
+  return <Button
+    variant={'secondary'}
+    disabled={isLoading}
+    {...rest}
+    onClick={handleInstall}
+    className={classNames('flex items-center', className)}
+  >
+    {!isLoading ? t('workflow.nodes.agent.pluginInstaller.install') : t('workflow.nodes.agent.pluginInstaller.installing')}
+    {!isLoading ? <RiInstallLine className='size-3.5 ml-1' /> : <RiLoader2Line className='size-3.5 ml-1 animate-spin' />}
+  </Button>
+}
diff --git a/web/app/components/workflow/nodes/_base/components/memory-config.tsx b/web/app/components/workflow/nodes/_base/components/memory-config.tsx
index 476f5b738c..1e436c28e7 100644
--- a/web/app/components/workflow/nodes/_base/components/memory-config.tsx
+++ b/web/app/components/workflow/nodes/_base/components/memory-config.tsx
@@ -88,7 +88,7 @@ const MemoryConfig: FC<Props> = ({
         limitedSize = null
       }
       else {
-        limitedSize = parseInt(limitedSize as string, 10)
+        limitedSize = Number.parseInt(limitedSize as string, 10)
         if (isNaN(limitedSize))
           limitedSize = WINDOW_SIZE_DEFAULT
 
diff --git a/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx b/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx
new file mode 100644
index 0000000000..99d70f474f
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx
@@ -0,0 +1,43 @@
+import {
+  RiAlertFill,
+  RiCheckboxCircleFill,
+  RiErrorWarningLine,
+  RiLoader2Line,
+} from '@remixicon/react'
+import cn from '@/utils/classnames'
+
+type NodeStatusIconProps = {
+  status: string
+  className?: string
+}
+const NodeStatusIcon = ({
+  status,
+  className,
+}: NodeStatusIconProps) => {
+  return (
+    <>
+      {
+        status === 'succeeded' && (
+          <RiCheckboxCircleFill className={cn('shrink-0 w-4 h-4 text-text-success', className)} />
+        )
+      }
+      {
+        status === 'failed' && (
+          <RiErrorWarningLine className={cn('shrink-0 w-4 h-4 text-text-warning', className)} />
+        )
+      }
+      {
+        (status === 'stopped' || status === 'exception') && (
+          <RiAlertFill className={cn('shrink-0 w-4 h-4 text-text-warning-secondary', className)} />
+        )
+      }
+      {
+        status === 'running' && (
+          <RiLoader2Line className={cn('shrink-0 w-4 h-4 text-text-accent animate-spin', className)} />
+        )
+      }
+    </>
+  )
+}
+
+export default NodeStatusIcon
diff --git a/web/app/components/workflow/nodes/_base/components/output-vars.tsx b/web/app/components/workflow/nodes/_base/components/output-vars.tsx
index a0d7a25c07..4a265a5a5b 100644
--- a/web/app/components/workflow/nodes/_base/components/output-vars.tsx
+++ b/web/app/components/workflow/nodes/_base/components/output-vars.tsx
@@ -1,5 +1,5 @@
 'use client'
-import type { FC } from 'react'
+import type { FC, ReactNode } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
 import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/collapse'
@@ -7,7 +7,7 @@ import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/
 type Props = {
   className?: string
   title?: string
-  children: JSX.Element
+  children: ReactNode
 }
 
 const OutputVars: FC<Props> = ({
diff --git a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx
index 66923fbe1f..9b7c63d862 100644
--- a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx
+++ b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx
@@ -1,5 +1,5 @@
 'use client'
-import type { FC } from 'react'
+import type { FC, ReactNode } from 'react'
 import React, { useCallback, useRef } from 'react'
 import {
   RiDeleteBinLine,
@@ -68,6 +68,14 @@ type Props = {
   onEditionTypeChange?: (editionType: EditionType) => void
   varList?: Variable[]
   handleAddVariable?: (payload: any) => void
+  containerBackgroundClassName?: string
+  gradientBorder?: boolean
+  titleTooltip?: ReactNode
+  inputClassName?: string
+  editorContainerClassName?: string
+  placeholderClassName?: string
+  titleClassName?: string
+  required?: boolean
 }
 
 const Editor: FC<Props> = ({
@@ -96,6 +104,14 @@ const Editor: FC<Props> = ({
   handleAddVariable,
   onGenerated,
   modelConfig,
+  containerBackgroundClassName: containerClassName,
+  gradientBorder = true,
+  titleTooltip,
+  inputClassName,
+  placeholderClassName,
+  titleClassName,
+  editorContainerClassName,
+  required,
 }) => {
   const { t } = useTranslation()
   const { eventEmitter } = useEventEmitterContextContext()
@@ -129,10 +145,13 @@ const Editor: FC<Props> = ({
 
   return (
     <Wrap className={cn(className, wrapClassName)} style={wrapStyle} isInNode isExpand={isExpand}>
-      <div ref={ref} className={cn(isFocus ? s.gradientBorder : 'bg-gray-100', isExpand && 'h-full', '!rounded-[9px] p-0.5')}>
-        <div className={cn(isFocus ? 'bg-gray-50' : 'bg-gray-100', isExpand && 'h-full flex flex-col', 'rounded-lg')}>
-          <div className={cn(headerClassName, 'pt-1 pl-3 pr-2 flex justify-between items-center')}>
-            <div className='leading-4 text-xs font-semibold text-gray-700 uppercase'>{title}</div>
+      <div ref={ref} className={cn(isFocus ? (gradientBorder && s.gradientBorder) : 'bg-gray-100', isExpand && 'h-full', '!rounded-[9px] p-0.5', containerClassName)}>
+        <div className={cn(isFocus ? 'bg-gray-50' : 'bg-gray-100', isExpand && 'h-full flex flex-col', 'rounded-lg', containerClassName)}>
+          <div className={cn('pt-1 pl-3 pr-2 flex justify-between items-center', headerClassName)}>
+            <div className='flex gap-2'>
+              <div className={cn('leading-4 text-xs font-semibold text-gray-700 uppercase', titleClassName)}>{title} {required && <span className='text-red-500'>*</span>}</div>
+              {titleTooltip && <Tooltip popupContent={titleTooltip} />}
+            </div>
             <div className='flex items-center'>
               <div className='leading-[18px] text-xs font-medium text-gray-500'>{value?.length || 0}</div>
               {isSupportPromptGenerator && (
@@ -201,12 +220,13 @@ const Editor: FC<Props> = ({
           <div className={cn('pb-2', isExpand && 'flex flex-col grow')}>
             {!(isSupportJinja && editionType === EditionType.jinja2)
               ? (
-                <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px]  overflow-y-auto')}>
+                <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px]  overflow-y-auto', editorContainerClassName)}>
                   <PromptEditor
                     key={controlPromptEditorRerenderKey}
+                    placeholderClassName={placeholderClassName}
                     instanceId={instanceId}
                     compact
-                    className='min-h-[56px]'
+                    className={cn('min-h-[56px]', inputClassName)}
                     style={isExpand ? { height: editorExpandHeight - 5 } : {}}
                     value={value}
                     contextBlock={{
@@ -254,7 +274,7 @@ const Editor: FC<Props> = ({
                 </div>
               )
               : (
-                <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px]  overflow-y-auto')}>
+                <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px]  overflow-y-auto', editorContainerClassName)}>
                   <CodeEditor
                     availableVars={nodesOutputVars || []}
                     varList={varList}
@@ -266,6 +286,7 @@ const Editor: FC<Props> = ({
                     onChange={onChange}
                     noWrapper
                     isExpand={isExpand}
+                    className={inputClassName}
                   />
                 </div>
               )}
diff --git a/web/app/components/workflow/nodes/_base/components/setting-item.tsx b/web/app/components/workflow/nodes/_base/components/setting-item.tsx
new file mode 100644
index 0000000000..ca074ffbb7
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/setting-item.tsx
@@ -0,0 +1,28 @@
+import Tooltip from '@/app/components/base/tooltip'
+import Indicator from '@/app/components/header/indicator'
+import classNames from '@/utils/classnames'
+import { type ComponentProps, type PropsWithChildren, type ReactNode, memo } from 'react'
+
+export type SettingItemProps = PropsWithChildren<{
+  label: string
+  status?: 'error' | 'warning'
+  tooltip?: ReactNode
+}>
+
+export const SettingItem = memo(({ label, children, status, tooltip }: SettingItemProps) => {
+  const indicator: ComponentProps<typeof Indicator>['color'] = status === 'error' ? 'red' : status === 'warning' ? 'yellow' : undefined
+  const needTooltip = ['error', 'warning'].includes(status as any)
+  return <div className='flex items-center justify-between bg-workflow-block-parma-bg rounded-md py-1 px-1.5 space-x-1 text-xs font-normal relative'>
+    <div className={classNames('shrink-0 truncate text-text-tertiary system-xs-medium-uppercase', !!children && 'max-w-[100px]')}>
+      {label}
+    </div>
+    <Tooltip popupContent={tooltip} disabled={!needTooltip}>
+      <div className='truncate text-right system-xs-medium text-text-secondary'>
+        {children}
+      </div>
+    </Tooltip>
+    {indicator && <Indicator color={indicator} className='absolute -right-0.5 -top-0.5' />}
+  </div>
+})
+
+SettingItem.displayName = 'SettingItem'
diff --git a/web/app/components/workflow/nodes/_base/components/split.tsx b/web/app/components/workflow/nodes/_base/components/split.tsx
index 28cd05f6da..9f773ba960 100644
--- a/web/app/components/workflow/nodes/_base/components/split.tsx
+++ b/web/app/components/workflow/nodes/_base/components/split.tsx
@@ -3,7 +3,7 @@ import type { FC } from 'react'
 import React from 'react'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   className?: string
 }
 
diff --git a/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx b/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx
new file mode 100644
index 0000000000..ea35c8492f
--- /dev/null
+++ b/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx
@@ -0,0 +1,126 @@
+'use client'
+
+import Badge from '@/app/components/base/badge'
+import Tooltip from '@/app/components/base/tooltip'
+import PluginVersionPicker from '@/app/components/plugins/update-plugin/plugin-version-picker'
+import { RiArrowLeftRightLine, RiExternalLinkLine } from '@remixicon/react'
+import type { ReactNode } from 'react'
+import { type FC, useCallback, useState } from 'react'
+import { useBoolean } from 'ahooks'
+import { useCheckInstalled, useUpdatePackageFromMarketPlace } from '@/service/use-plugins'
+import cn from '@/utils/classnames'
+import PluginMutationModel from '@/app/components/plugins/plugin-mutation-model'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+import { pluginManifestToCardPluginProps } from '@/app/components/plugins/install-plugin/utils'
+import { Badge as Badge2, BadgeState } from '@/app/components/base/badge/index'
+import Link from 'next/link'
+import { useTranslation } from 'react-i18next'
+import { marketplaceUrlPrefix } from '@/config'
+
+export type SwitchPluginVersionProps = {
+  uniqueIdentifier: string
+  tooltip?: ReactNode
+  onChange?: (version: string) => void
+  className?: string
+}
+
+export const SwitchPluginVersion: FC<SwitchPluginVersionProps> = (props) => {
+  const { uniqueIdentifier, tooltip, onChange, className } = props
+  const [pluginId] = uniqueIdentifier.split(':')
+  const [isShow, setIsShow] = useState(false)
+  const [isShowUpdateModal, { setTrue: showUpdateModal, setFalse: hideUpdateModal }] = useBoolean(false)
+  const [target, setTarget] = useState<{
+    version: string,
+    pluginUniqueIden: string;
+  }>()
+  const pluginDetails = useCheckInstalled({
+    pluginIds: [pluginId],
+    enabled: true,
+  })
+  const pluginDetail = pluginDetails.data?.plugins.at(0)
+
+  const handleUpdatedFromMarketplace = useCallback(() => {
+    hideUpdateModal()
+    pluginDetails.refetch()
+    onChange?.(target!.version)
+  }, [hideUpdateModal, onChange, pluginDetails, target])
+  const { getIconUrl } = useGetIcon()
+  const icon = pluginDetail?.declaration.icon ? getIconUrl(pluginDetail.declaration.icon) : undefined
+  const mutation = useUpdatePackageFromMarketPlace()
+  const install = () => {
+    mutation.mutate(
+      {
+        new_plugin_unique_identifier: target!.pluginUniqueIden,
+        original_plugin_unique_identifier: uniqueIdentifier,
+      },
+      {
+        onSuccess() {
+          handleUpdatedFromMarketplace()
+        },
+      })
+  }
+  const { t } = useTranslation()
+  return <Tooltip popupContent={!isShow && !isShowUpdateModal && tooltip} triggerMethod='hover'>
+    <div className={cn('w-fit flex items-center justify-center', className)} onClick={e => e.stopPropagation()}>
+      {isShowUpdateModal && pluginDetail && <PluginMutationModel
+        onCancel={hideUpdateModal}
+        plugin={pluginManifestToCardPluginProps({
+          ...pluginDetail.declaration,
+          icon: icon!,
+        })}
+        mutation={mutation}
+        mutate={install}
+        confirmButtonText={t('workflow.nodes.agent.installPlugin.install')}
+        cancelButtonText={t('workflow.nodes.agent.installPlugin.cancel')}
+        modelTitle={t('workflow.nodes.agent.installPlugin.title')}
+        description={t('workflow.nodes.agent.installPlugin.desc')}
+        cardTitleLeft={<>
+          <Badge2 className='mx-1' size="s" state={BadgeState.Warning}>
+            {`${pluginDetail.version} -> ${target!.version}`}
+          </Badge2>
+        </>}
+        modalBottomLeft={
+          <Link
+            className='flex justify-center items-center gap-1'
+            href={`${marketplaceUrlPrefix}/plugins/${pluginDetail.declaration.author}/${pluginDetail.declaration.name}`}
+            target='_blank'
+          >
+            <span className='text-text-accent system-xs-regular text-xs'>
+              {t('workflow.nodes.agent.installPlugin.changelog')}
+            </span>
+            <RiExternalLinkLine className='text-text-accent size-3' />
+          </Link>
+        }
+      />}
+      {pluginDetail && <PluginVersionPicker
+        isShow={isShow}
+        onShowChange={setIsShow}
+        pluginID={pluginId}
+        currentVersion={pluginDetail.version}
+        onSelect={(state) => {
+          setTarget({
+            pluginUniqueIden: state.unique_identifier,
+            version: state.version,
+          })
+          showUpdateModal()
+        }}
+        trigger={
+          <Badge
+            className={cn(
+              'mx-1 hover:bg-state-base-hover flex',
+              isShow && 'bg-state-base-hover',
+            )}
+            uppercase={true}
+            text={
+              <>
+                <div>{pluginDetail.version}</div>
+                <RiArrowLeftRightLine className='ml-1 w-3 h-3 text-text-tertiary' />
+              </>
+            }
+            hasRedCornerMark={true}
+          />
+        }
+      />}
+    </div>
+  </Tooltip>
+}
diff --git a/web/app/components/workflow/nodes/_base/components/variable-tag.tsx b/web/app/components/workflow/nodes/_base/components/variable-tag.tsx
index 0c5c3bde4b..67c8bb57df 100644
--- a/web/app/components/workflow/nodes/_base/components/variable-tag.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable-tag.tsx
@@ -19,7 +19,7 @@ import Tooltip from '@/app/components/base/tooltip'
 import cn from '@/utils/classnames'
 import { isExceptionVariable } from '@/app/components/workflow/utils'
 
-type VariableTagProps = {
+interface VariableTagProps {
   valueSelector: ValueSelector
   varType: VarType
   isShort?: boolean
diff --git a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx
index 802e778c2c..b2052053a3 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx
@@ -24,7 +24,7 @@ const ConstantField: FC<Props> = ({
   const language = useLanguage()
   const placeholder = (schema as CredentialFormSchemaSelect).placeholder
   const handleStaticChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
-    const value = e.target.value === '' ? '' : parseFloat(e.target.value)
+    const value = e.target.value === '' ? '' : Number.parseFloat(e.target.value)
     onChange(value, VarKindType.constant)
   }, [onChange])
   const handleSelectChange = useCallback((value: string | number) => {
@@ -39,6 +39,7 @@ const ConstantField: FC<Props> = ({
           wrapperClassName='w-full !h-8'
           className='flex items-center'
           disabled={readonly}
+          defaultValue={value}
           items={(schema as CredentialFormSchemaSelect).options.map(option => ({ value: option.value, name: option.label[language] || option.label.en_US }))}
           onSelect={item => handleSelectChange(item.value)}
           placeholder={placeholder?.[language] || placeholder?.en_US}
diff --git a/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx b/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx
index 1c07461b42..17c0061f0e 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx
@@ -11,7 +11,7 @@ import type { VarType } from '@/app/components/workflow/types'
 import { checkKeys } from '@/utils/var'
 import Toast from '@/app/components/base/toast'
 
-type Props = {
+interface Props {
   readonly: boolean
   outputs: OutputVar
   outputKeyOrders: string[]
diff --git a/web/app/components/workflow/nodes/_base/components/variable/utils.ts b/web/app/components/workflow/nodes/_base/components/variable/utils.ts
index 24c2b73fed..2e4ea8a355 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/utils.ts
+++ b/web/app/components/workflow/nodes/_base/components/variable/utils.ts
@@ -14,7 +14,7 @@ import type { ToolNodeType } from '../../../tool/types'
 import type { ParameterExtractorNodeType } from '../../../parameter-extractor/types'
 import type { IterationNodeType } from '../../../iteration/types'
 import type { ListFilterNodeType } from '../../../list-operator/types'
-import { OUTPUT_FILE_SUB_VARIABLES } from '../../../if-else/default'
+import { OUTPUT_FILE_SUB_VARIABLES } from '../../../constants'
 import type { DocExtractorNodeType } from '../../../document-extractor/types'
 import { BlockEnum, InputVarType, VarType } from '@/app/components/workflow/types'
 import type { StartNodeType } from '@/app/components/workflow/nodes/start/types'
@@ -32,6 +32,7 @@ import {
 } from '@/app/components/workflow/constants'
 import type { PromptItem } from '@/models/debug'
 import { VAR_REGEX } from '@/config'
+import type { AgentNodeType } from '../../../agent/types'
 
 export const isSystemVar = (valueSelector: ValueSelector) => {
   return valueSelector[0] === 'sys' || valueSelector[1] === 'sys'
@@ -235,7 +236,29 @@ const formatItem = (
     }
 
     case BlockEnum.Tool: {
-      res.vars = TOOL_OUTPUT_STRUCT
+      const {
+        output_schema,
+      } = data as ToolNodeType
+      if (!output_schema) {
+        res.vars = TOOL_OUTPUT_STRUCT
+      }
+      else {
+        const outputSchema: any[] = []
+        Object.keys(output_schema.properties).forEach((outputKey) => {
+          const output = output_schema.properties[outputKey]
+          outputSchema.push({
+            variable: outputKey,
+            type: output.type === 'array'
+              ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]`
+              : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`,
+            description: output.description,
+          })
+        })
+        res.vars = [
+          ...TOOL_OUTPUT_STRUCT,
+          ...outputSchema,
+        ]
+      }
       break
     }
 
@@ -293,6 +316,25 @@ const formatItem = (
       break
     }
 
+    case BlockEnum.Agent: {
+      const payload = data as AgentNodeType
+      const outputs: Var[] = []
+      Object.keys(payload.output_schema?.properties || {}).forEach((outputKey) => {
+        const output = payload.output_schema.properties[outputKey]
+        outputs.push({
+          variable: outputKey,
+          type: output.type === 'array'
+            ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` as VarType
+            : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}` as VarType,
+        })
+      })
+      res.vars = [
+        ...outputs,
+        ...TOOL_OUTPUT_STRUCT,
+      ]
+      break
+    }
+
     case 'env': {
       res.vars = data.envList.map((env: EnvironmentVariable) => {
         return {
@@ -680,7 +722,7 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => {
       break
     }
     case BlockEnum.LLM: {
-      const payload = (data as LLMNodeType)
+      const payload = data as LLMNodeType
       const isChatModel = payload.model?.mode === 'chat'
       let prompts: string[] = []
       if (isChatModel) {
@@ -718,19 +760,19 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => {
       break
     }
     case BlockEnum.QuestionClassifier: {
-      const payload = (data as QuestionClassifierNodeType)
+      const payload = data as QuestionClassifierNodeType
       res = [payload.query_variable_selector]
       const varInInstructions = matchNotSystemVars([payload.instruction || ''])
       res.push(...varInInstructions)
       break
     }
     case BlockEnum.HttpRequest: {
-      const payload = (data as HttpNodeType)
+      const payload = data as HttpNodeType
       res = matchNotSystemVars([payload.url, payload.headers, payload.params, typeof payload.body.data === 'string' ? payload.body.data : payload.body.data.map(d => d.value).join('')])
       break
     }
     case BlockEnum.Tool: {
-      const payload = (data as ToolNodeType)
+      const payload = data as ToolNodeType
       const mixVars = matchNotSystemVars(Object.keys(payload.tool_parameters)?.filter(key => payload.tool_parameters[key].type === ToolVarType.mixed).map(key => payload.tool_parameters[key].value) as string[])
       const vars = Object.keys(payload.tool_parameters).filter(key => payload.tool_parameters[key].type === ToolVarType.variable).map(key => payload.tool_parameters[key].value as string) || []
       res = [...(mixVars as ValueSelector[]), ...(vars as any)]
@@ -748,7 +790,7 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => {
     }
 
     case BlockEnum.ParameterExtractor: {
-      const payload = (data as ParameterExtractorNodeType)
+      const payload = data as ParameterExtractorNodeType
       res = [payload.query]
       const varInInstructions = matchNotSystemVars([payload.instruction || ''])
       res.push(...varInInstructions)
@@ -764,6 +806,21 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => {
       res = [(data as ListFilterNodeType).variable]
       break
     }
+
+    case BlockEnum.Agent: {
+      const payload = data as AgentNodeType
+      const valueSelectors: ValueSelector[] = []
+      if (!payload.agent_parameters)
+        break
+
+      Object.keys(payload.agent_parameters || {}).forEach((key) => {
+        const { value } = payload.agent_parameters![key]
+        if (typeof value === 'string')
+          valueSelectors.push(...matchNotSystemVars([value]))
+      })
+      res = valueSelectors
+      break
+    }
   }
   return res || []
 }
@@ -775,7 +832,7 @@ export const getNodeUsedVarPassToServerKey = (node: Node, valueSelector: ValueSe
   let res: string | string[] = ''
   switch (type) {
     case BlockEnum.LLM: {
-      const payload = (data as LLMNodeType)
+      const payload = data as LLMNodeType
       res = [`#${valueSelector.join('.')}#`]
       if (payload.context?.variable_selector.join('.') === valueSelector.join('.'))
         res.push('#context#')
diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
index cdcea647aa..c7ef4598f7 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx
@@ -64,6 +64,7 @@ type Props = {
   placeholder?: string
   minWidth?: number
   popupFor?: 'assigned' | 'toAssigned'
+  zIndex?: number
 }
 
 const VarReferencePicker: FC<Props> = ({
@@ -90,6 +91,7 @@ const VarReferencePicker: FC<Props> = ({
   placeholder,
   minWidth,
   popupFor,
+  zIndex,
 }) => {
   const { t } = useTranslation()
   const store = useStoreApi()
@@ -386,7 +388,7 @@ const VarReferencePicker: FC<Props> = ({
           </>
         </WrapElem>
         <PortalToFollowElemContent style={{
-          zIndex: 100,
+          zIndex: zIndex || 100,
         }} className='mt-1'>
           {!isConstant && (
             <VarReferencePopup
diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx
index 9ac5e4a4e4..3b7845003a 100644
--- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx
+++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx
@@ -17,7 +17,7 @@ import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others
 import { checkKeys } from '@/utils/var'
 import { FILE_STRUCT } from '@/app/components/workflow/constants'
 
-type ObjectChildrenProps = {
+interface ObjectChildrenProps {
   nodeId: string
   title: string
   data: Var[]
@@ -28,7 +28,7 @@ type ObjectChildrenProps = {
   isSupportFileVar?: boolean
 }
 
-type ItemProps = {
+interface ItemProps {
   nodeId: string
   title: string
   objPath: string[]
@@ -134,7 +134,7 @@ const Item: FC<ItemProps> = ({
         zIndex: 100,
       }}>
         {(isObj && !isFile) && (
-          // eslint-disable-next-line @typescript-eslint/no-use-before-define
+          // eslint-disable-next-line ts/no-use-before-define
           <ObjectChildren
             nodeId={nodeId}
             title={title}
@@ -147,7 +147,7 @@ const Item: FC<ItemProps> = ({
           />
         )}
         {isFile && (
-          // eslint-disable-next-line @typescript-eslint/no-use-before-define
+          // eslint-disable-next-line ts/no-use-before-define
           <ObjectChildren
             nodeId={nodeId}
             title={title}
@@ -226,7 +226,7 @@ const ObjectChildren: FC<ObjectChildrenProps> = ({
   )
 }
 
-type Props = {
+interface Props {
   hideSearch?: boolean
   searchBoxClassName?: string
   vars: NodeOutPutVar[]
diff --git a/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts b/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts
index 05481b4c8c..443ba1bbd2 100644
--- a/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts
+++ b/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts
@@ -46,6 +46,7 @@ const { checkValid: checkParameterExtractorValid } = ParameterExtractorDefault
 const { checkValid: checkIterationValid } = IterationDefault
 const { checkValid: checkDocumentExtractorValid } = DocumentExtractorDefault
 
+// eslint-disable-next-line ts/no-unsafe-function-type
 const checkValidFns: Record<BlockEnum, Function> = {
   [BlockEnum.LLM]: checkLLMValid,
   [BlockEnum.KnowledgeRetrieval]: checkKnowledgeRetrievalValid,
@@ -144,7 +145,7 @@ const useOneStepRun = <T>({
   const { handleNodeDataUpdate }: { handleNodeDataUpdate: (data: any) => void } = useNodeDataUpdate()
   const [canShowSingleRun, setCanShowSingleRun] = useState(false)
   const isShowSingleRun = data._isSingleRun && canShowSingleRun
-  const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([])
+  const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[]>([])
 
   useEffect(() => {
     if (!checkValid) {
@@ -175,7 +176,7 @@ const useOneStepRun = <T>({
   const workflowStore = useWorkflowStore()
   useEffect(() => {
     workflowStore.getState().setShowSingleRunPanel(!!isShowSingleRun)
-  }, [isShowSingleRun])
+  }, [isShowSingleRun, workflowStore])
 
   const hideSingleRun = () => {
     handleNodeDataUpdate({
@@ -213,7 +214,7 @@ const useOneStepRun = <T>({
       }
       else {
         setIterationRunResult([])
-        let _iterationResult: NodeTracing[][] = []
+        let _iterationResult: NodeTracing[] = []
         let _runResult: any = null
         ssePost(
           getIterationSingleNodeRunUrl(isChatMode, appId!, id),
@@ -233,27 +234,43 @@ const useOneStepRun = <T>({
               _runResult.created_by = iterationData.created_by.name
               setRunResult(_runResult)
             },
-            onIterationNext: () => {
-              // iteration next trigger time is triggered one more time than iterationTimes
-              if (_iterationResult.length >= iterationTimes!)
-                return
-
+            onIterationStart: (params) => {
               const newIterationRunResult = produce(_iterationResult, (draft) => {
-                draft.push([])
+                draft.push({
+                  ...params.data,
+                  status: NodeRunningStatus.Running,
+                })
               })
               _iterationResult = newIterationRunResult
               setIterationRunResult(newIterationRunResult)
             },
+            onIterationNext: () => {
+              // iteration next trigger time is triggered one more time than iterationTimes
+              if (_iterationResult.length >= iterationTimes!)
+                return _iterationResult.length >= iterationTimes!
+            },
             onIterationFinish: (params) => {
               _runResult = params.data
               setRunResult(_runResult)
+              const iterationRunResult = _iterationResult
+              const currentIndex = iterationRunResult.findIndex(trace => trace.id === params.data.id)
+              const newIterationRunResult = produce(iterationRunResult, (draft) => {
+                if (currentIndex > -1) {
+                  draft[currentIndex] = {
+                    ...draft[currentIndex],
+                    ...data,
+                  }
+                }
+              })
+              _iterationResult = newIterationRunResult
+              setIterationRunResult(newIterationRunResult)
             },
             onNodeStarted: (params) => {
               const newIterationRunResult = produce(_iterationResult, (draft) => {
-                draft[draft.length - 1].push({
+                draft.push({
                   ...params.data,
                   status: NodeRunningStatus.Running,
-                } as NodeTracing)
+                })
               })
               _iterationResult = newIterationRunResult
               setIterationRunResult(newIterationRunResult)
@@ -262,18 +279,25 @@ const useOneStepRun = <T>({
               const iterationRunResult = _iterationResult
 
               const { data } = params
-              const currentIndex = iterationRunResult[iterationRunResult.length - 1].findIndex(trace => trace.node_id === data.node_id)
+              const currentIndex = iterationRunResult.findIndex(trace => trace.id === data.id)
               const newIterationRunResult = produce(iterationRunResult, (draft) => {
                 if (currentIndex > -1) {
-                  draft[draft.length - 1][currentIndex] = {
+                  draft[currentIndex] = {
+                    ...draft[currentIndex],
                     ...data,
-                    status: NodeRunningStatus.Succeeded,
-                  } as NodeTracing
+                  }
                 }
               })
               _iterationResult = newIterationRunResult
               setIterationRunResult(newIterationRunResult)
             },
+            onNodeRetry: (params) => {
+              const newIterationRunResult = produce(_iterationResult, (draft) => {
+                draft.push(params.data)
+              })
+              _iterationResult = newIterationRunResult
+              setIterationRunResult(newIterationRunResult)
+            },
             onError: () => {
               handleNodeDataUpdate({
                 id,
diff --git a/web/app/components/workflow/nodes/agent/components/model-bar.tsx b/web/app/components/workflow/nodes/agent/components/model-bar.tsx
new file mode 100644
index 0000000000..1b2007070f
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/components/model-bar.tsx
@@ -0,0 +1,75 @@
+import Tooltip from '@/app/components/base/tooltip'
+import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { useModelList } from '@/app/components/header/account-setting/model-provider-page/hooks'
+import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector'
+import Indicator from '@/app/components/header/indicator'
+import { type FC, useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
+
+export type ModelBarProps = {
+  provider: string
+  model: string
+} | {}
+
+const useAllModel = () => {
+  const { data: textGeneration } = useModelList(ModelTypeEnum.textGeneration)
+  const { data: moderation } = useModelList(ModelTypeEnum.moderation)
+  const { data: rerank } = useModelList(ModelTypeEnum.rerank)
+  const { data: speech2text } = useModelList(ModelTypeEnum.speech2text)
+  const { data: textEmbedding } = useModelList(ModelTypeEnum.textEmbedding)
+  const { data: tts } = useModelList(ModelTypeEnum.tts)
+  const models = useMemo(() => {
+    return textGeneration
+      .concat(moderation)
+      .concat(rerank)
+      .concat(speech2text)
+      .concat(textEmbedding)
+      .concat(tts)
+  }, [textGeneration, moderation, rerank, speech2text, textEmbedding, tts])
+  if (!textGeneration || !moderation || !rerank || !speech2text || !textEmbedding || !tts)
+    return undefined
+  return models
+}
+
+export const ModelBar: FC<ModelBarProps> = (props) => {
+  const { t } = useTranslation()
+  const modelList = useAllModel()
+  if (!('provider' in props)) {
+    return <Tooltip
+      popupContent={t('workflow.nodes.agent.modelNotSelected')}
+      triggerMethod='hover'
+    >
+      <div className='relative'>
+        <ModelSelector
+          modelList={[]}
+          triggerClassName='bg-workflow-block-parma-bg !h-6 !rounded-md'
+          defaultModel={undefined}
+          showDeprecatedWarnIcon={false}
+          readonly
+          deprecatedClassName='opacity-50'
+        />
+        <Indicator color={'red'} className='absolute -right-0.5 -top-0.5' />
+      </div>
+    </Tooltip>
+  }
+  const modelInstalled = modelList?.some(
+    provider => provider.provider === props.provider && provider.models.some(model => model.model === props.model))
+  const showWarn = modelList && !modelInstalled
+  return modelList && <Tooltip
+    popupContent={t('workflow.nodes.agent.modelNotInstallTooltip')}
+    triggerMethod='hover'
+    disabled={!modelList || modelInstalled}
+  >
+    <div className='relative'>
+      <ModelSelector
+        modelList={modelList}
+        triggerClassName='bg-workflow-block-parma-bg !h-6 !rounded-md'
+        defaultModel={props}
+        showDeprecatedWarnIcon={false}
+        readonly
+        deprecatedClassName='opacity-50'
+      />
+      {showWarn && <Indicator color={'red'} className='absolute -right-0.5 -top-0.5' />}
+    </div>
+  </Tooltip>
+}
diff --git a/web/app/components/workflow/nodes/agent/components/tool-icon.tsx b/web/app/components/workflow/nodes/agent/components/tool-icon.tsx
new file mode 100644
index 0000000000..07c20e0f80
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/components/tool-icon.tsx
@@ -0,0 +1,81 @@
+import Tooltip from '@/app/components/base/tooltip'
+import Indicator from '@/app/components/header/indicator'
+import classNames from '@/utils/classnames'
+import { memo, useMemo, useRef, useState } from 'react'
+import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools } from '@/service/use-tools'
+import { getIconFromMarketPlace } from '@/utils/get-icon'
+import { useTranslation } from 'react-i18next'
+import { Group } from '@/app/components/base/icons/src/vender/other'
+
+type Status = 'not-installed' | 'not-authorized' | undefined
+
+export type ToolIconProps = {
+  providerName: string
+}
+
+export const ToolIcon = memo(({ providerName }: ToolIconProps) => {
+  const containerRef = useRef<HTMLDivElement>(null)
+  const { data: buildInTools } = useAllBuiltInTools()
+  const { data: customTools } = useAllCustomTools()
+  const { data: workflowTools } = useAllWorkflowTools()
+  const isDataReady = !!buildInTools && !!customTools && !!workflowTools
+  const currentProvider = useMemo(() => {
+    const mergedTools = [...(buildInTools || []), ...(customTools || []), ...(workflowTools || [])]
+    return mergedTools.find((toolWithProvider) => {
+      return toolWithProvider.name === providerName
+    })
+  }, [buildInTools, customTools, providerName, workflowTools])
+  const providerNameParts = providerName.split('/')
+  const author = providerNameParts[0]
+  const name = providerNameParts[1]
+  const icon = useMemo(() => {
+    if (currentProvider) return currentProvider.icon as string
+    const iconFromMarketPlace = getIconFromMarketPlace(`${author}/${name}`)
+    return iconFromMarketPlace
+  }, [author, currentProvider, name])
+  const status: Status = useMemo(() => {
+    if (!isDataReady) return undefined
+    if (!currentProvider) return 'not-installed'
+    if (currentProvider.is_team_authorization === false) return 'not-authorized'
+    return undefined
+  }, [currentProvider, isDataReady])
+  const indicator = status === 'not-installed' ? 'red' : status === 'not-authorized' ? 'yellow' : undefined
+  const notSuccess = (['not-installed', 'not-authorized'] as Array<Status>).includes(status)
+  const { t } = useTranslation()
+  const tooltip = useMemo(() => {
+    if (!notSuccess) return undefined
+    if (status === 'not-installed') return t('workflow.nodes.agent.toolNotInstallTooltip', { tool: name })
+    if (status === 'not-authorized') return t('workflow.nodes.agent.toolNotAuthorizedTooltip', { tool: name })
+    throw new Error('Unknown status')
+  }, [name, notSuccess, status, t])
+  const [iconFetchError, setIconFetchError] = useState(false)
+  return <Tooltip
+    triggerMethod='hover'
+    popupContent={tooltip}
+    disabled={!notSuccess}
+  >
+    <div
+      className={classNames(
+        'size-5 border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge relative flex items-center justify-center rounded-[6px]',
+      )}
+      ref={containerRef}
+    >
+      {!iconFetchError
+        // eslint-disable-next-line @next/next/no-img-element
+        ? <img
+          src={icon}
+          alt='tool icon'
+          className={classNames(
+            'w-full h-full size-3.5 object-cover',
+            notSuccess && 'opacity-50',
+          )}
+          onError={() => setIconFetchError(true)}
+        />
+        : <Group className="w-3 h-3 opacity-35" />
+      }
+      {indicator && <Indicator color={indicator} className="absolute right-[-1px] top-[-1px]" />}
+    </div>
+  </Tooltip>
+})
+
+ToolIcon.displayName = 'ToolIcon'
diff --git a/web/app/components/workflow/nodes/agent/default.ts b/web/app/components/workflow/nodes/agent/default.ts
new file mode 100644
index 0000000000..6069f90991
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/default.ts
@@ -0,0 +1,143 @@
+import type { StrategyDetail, StrategyPluginDetail } from '@/app/components/plugins/types'
+import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
+import type { NodeDefault } from '../../types'
+import type { AgentNodeType } from './types'
+import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { renderI18nObject } from '@/hooks/use-i18n'
+
+const nodeDefault: NodeDefault<AgentNodeType> = {
+  defaultValue: {
+  },
+  getAvailablePrevNodes(isChatMode) {
+    return isChatMode
+      ? ALL_CHAT_AVAILABLE_BLOCKS
+      : ALL_COMPLETION_AVAILABLE_BLOCKS
+  },
+  getAvailableNextNodes(isChatMode) {
+    return isChatMode
+      ? ALL_CHAT_AVAILABLE_BLOCKS
+      : ALL_COMPLETION_AVAILABLE_BLOCKS
+  },
+  checkValid(payload, t, moreDataForCheckValid: {
+    strategyProvider?: StrategyPluginDetail,
+    strategy?: StrategyDetail
+    language: string
+    isReadyForCheckValid: boolean
+  }) {
+    const { strategy, language, isReadyForCheckValid } = moreDataForCheckValid
+    if (!isReadyForCheckValid) {
+      return {
+        isValid: true,
+        errorMessage: '',
+      }
+    }
+    if (!strategy) {
+      return {
+        isValid: false,
+        errorMessage: t('workflow.nodes.agent.checkList.strategyNotSelected'),
+      }
+    }
+    for (const param of strategy.parameters) {
+      // single tool
+      if (param.required && param.type === FormTypeEnum.toolSelector) {
+        // no value
+        const toolValue = payload.agent_parameters?.[param.name]?.value
+        if (!toolValue) {
+          return {
+            isValid: false,
+            errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }),
+          }
+        }
+        // not enabled
+        else if (!toolValue.enabled) {
+          return {
+            isValid: false,
+            errorMessage: t('workflow.errorMsg.noValidTool', { field: renderI18nObject(param.label, language) }),
+          }
+        }
+        // check form of tool
+        else {
+          const schemas = toolValue.schemas || []
+          const userSettings = toolValue.settings
+          const reasoningConfig = toolValue.parameters
+          schemas.forEach((schema: any) => {
+            if (schema?.required) {
+              if (schema.form === 'form' && !userSettings[schema.name]?.value) {
+                return {
+                  isValid: false,
+                  errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }),
+                }
+              }
+              if (schema.form === 'llm' && reasoningConfig[schema.name].auto === 0 && !userSettings[schema.name]?.value) {
+                return {
+                  isValid: false,
+                  errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }),
+                }
+              }
+            }
+          })
+        }
+      }
+      // multiple tools
+      if (param.required && param.type === FormTypeEnum.multiToolSelector) {
+        const tools = payload.agent_parameters?.[param.name]?.value || []
+        // no value
+        if (!tools.length) {
+          return {
+            isValid: false,
+            errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }),
+          }
+        }
+        // not enabled
+        else if (tools.every((tool: any) => !tool.enabled)) {
+          return {
+            isValid: false,
+            errorMessage: t('workflow.errorMsg.noValidTool', { field: renderI18nObject(param.label, language) }),
+          }
+        }
+        // check form of tools
+        else {
+          let validState = {
+            isValid: true,
+            errorMessage: '',
+          }
+          for (const tool of tools) {
+            const schemas = tool.schemas || []
+            const userSettings = tool.settings
+            const reasoningConfig = tool.parameters
+            schemas.forEach((schema: any) => {
+              if (schema?.required) {
+                if (schema.form === 'form' && !userSettings[schema.name]?.value) {
+                  return validState = {
+                    isValid: false,
+                    errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }),
+                  }
+                }
+                if (schema.form === 'llm' && reasoningConfig[schema.name]?.auto === 0 && !reasoningConfig[schema.name]?.value) {
+                  return validState = {
+                    isValid: false,
+                    errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }),
+                  }
+                }
+              }
+            })
+          }
+          return validState
+        }
+      }
+      // common params
+      if (param.required && !payload.agent_parameters?.[param.name]?.value) {
+        return {
+          isValid: false,
+          errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }),
+        }
+      }
+    }
+    return {
+      isValid: true,
+      errorMessage: '',
+    }
+  },
+}
+
+export default nodeDefault
diff --git a/web/app/components/workflow/nodes/agent/node.tsx b/web/app/components/workflow/nodes/agent/node.tsx
new file mode 100644
index 0000000000..b3101c3d88
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/node.tsx
@@ -0,0 +1,113 @@
+import { type FC, memo, useMemo } from 'react'
+import type { NodeProps } from '../../types'
+import type { AgentNodeType } from './types'
+import { SettingItem } from '../_base/components/setting-item'
+import { Group, GroupLabel } from '../_base/components/group'
+import type { ToolIconProps } from './components/tool-icon'
+import { ToolIcon } from './components/tool-icon'
+import useConfig from './use-config'
+import { useTranslation } from 'react-i18next'
+import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { useRenderI18nObject } from '@/hooks/use-i18n'
+import { ModelBar } from './components/model-bar'
+
+const AgentNode: FC<NodeProps<AgentNodeType>> = (props) => {
+  const { inputs, currentStrategy, currentStrategyStatus, pluginDetail } = useConfig(props.id, props.data)
+  const renderI18nObject = useRenderI18nObject()
+  const { t } = useTranslation()
+  const models = useMemo(() => {
+    if (!inputs) return []
+    // if selected, show in node
+    // if required and not selected, show empty selector
+    // if not required and not selected, show nothing
+    const models = currentStrategy?.parameters
+      .filter(param => param.type === FormTypeEnum.modelSelector)
+      .reduce((acc, param) => {
+        const item = inputs.agent_parameters?.[param.name]?.value
+        if (!item) {
+          if (param.required) {
+            acc.push({ param: param.name })
+            return acc
+          }
+          else { return acc }
+        }
+        acc.push({ provider: item.provider, model: item.model, param: param.name })
+        return acc
+      }, [] as Array<{ param: string } | { provider: string, model: string, param: string }>) || []
+    return models
+  }, [currentStrategy, inputs])
+
+  const tools = useMemo(() => {
+    const tools: Array<ToolIconProps> = []
+    currentStrategy?.parameters.forEach((param) => {
+      if (param.type === FormTypeEnum.toolSelector) {
+        const field = param.name
+        const value = inputs.agent_parameters?.[field]?.value
+        if (value) {
+          tools.push({
+            providerName: value.provider_name as any,
+          })
+        }
+      }
+      if (param.type === FormTypeEnum.multiToolSelector) {
+        const field = param.name
+        const value = inputs.agent_parameters?.[field]?.value
+        if (value) {
+          (value as unknown as any[]).forEach((item) => {
+            tools.push({
+              providerName: item.provider_name,
+            })
+          })
+        }
+      }
+    })
+    return tools
+  }, [currentStrategy?.parameters, inputs.agent_parameters])
+  return <div className='mb-1 px-3 py-1 space-y-1'>
+    {inputs.agent_strategy_name
+      ? <SettingItem
+        label={t('workflow.nodes.agent.strategy.shortLabel')}
+        status={
+          currentStrategyStatus && !currentStrategyStatus.isExistInPlugin
+            ? 'error'
+            : undefined
+        }
+        tooltip={
+          (currentStrategyStatus && !currentStrategyStatus.isExistInPlugin)
+            ? t('workflow.nodes.agent.strategyNotInstallTooltip', {
+              plugin: pluginDetail?.declaration.label
+                ? renderI18nObject(pluginDetail?.declaration.label)
+                : undefined,
+              strategy: inputs.agent_strategy_label,
+            })
+            : undefined
+        }
+      >
+        {inputs.agent_strategy_label}
+      </SettingItem>
+      : <SettingItem label={t('workflow.nodes.agent.strategyNotSet')} />}
+    {models.length > 0 && <Group
+      label={<GroupLabel className='mt-1'>
+        {t('workflow.nodes.agent.model')}
+      </GroupLabel>}
+    >
+      {models.map((model) => {
+        return <ModelBar
+          {...model}
+          key={model.param}
+        />
+      })}
+    </Group>}
+    {tools.length > 0 && <Group label={<GroupLabel className='mt-1'>
+      {t('workflow.nodes.agent.toolbox')}
+    </GroupLabel>}>
+      <div className='grid grid-cols-10 gap-0.5'>
+        {tools.map(tool => <ToolIcon {...tool} key={Math.random()} />)}
+      </div>
+    </Group>}
+  </div>
+}
+
+AgentNode.displayName = 'AgentNode'
+
+export default memo(AgentNode)
diff --git a/web/app/components/workflow/nodes/agent/panel.tsx b/web/app/components/workflow/nodes/agent/panel.tsx
new file mode 100644
index 0000000000..c3912c293e
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/panel.tsx
@@ -0,0 +1,156 @@
+import type { FC } from 'react'
+import { memo, useMemo } from 'react'
+import type { NodePanelProps } from '../../types'
+import type { AgentNodeType } from './types'
+import Field from '../_base/components/field'
+import { AgentStrategy } from '../_base/components/agent-strategy'
+import useConfig from './use-config'
+import { useTranslation } from 'react-i18next'
+import OutputVars, { VarItem } from '../_base/components/output-vars'
+import type { StrategyParamItem } from '@/app/components/plugins/types'
+import type { CredentialFormSchema } from '@/app/components/header/account-setting/model-provider-page/declarations'
+import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form'
+import ResultPanel from '@/app/components/workflow/run/result-panel'
+import formatTracing from '@/app/components/workflow/run/utils/format-log'
+import { useLogs } from '@/app/components/workflow/run/hooks'
+import type { Props as FormProps } from '@/app/components/workflow/nodes/_base/components/before-run-form/form'
+import { toType } from '@/app/components/tools/utils/to-form-schema'
+import { useStore } from '../../store'
+
+const i18nPrefix = 'workflow.nodes.agent'
+
+export function strategyParamToCredientialForm(param: StrategyParamItem): CredentialFormSchema {
+  return {
+    ...param as any,
+    variable: param.name,
+    show_on: [],
+    type: toType(param.type),
+  }
+}
+
+const AgentPanel: FC<NodePanelProps<AgentNodeType>> = (props) => {
+  const {
+    inputs,
+    setInputs,
+    currentStrategy,
+    formData,
+    onFormChange,
+
+    availableNodesWithParent,
+    availableVars,
+
+    isShowSingleRun,
+    hideSingleRun,
+    runningStatus,
+    handleRun,
+    handleStop,
+    runResult,
+    runInputData,
+    setRunInputData,
+    varInputs,
+    outputSchema,
+  } = useConfig(props.id, props.data)
+  const { t } = useTranslation()
+  const nodeInfo = useMemo(() => {
+    if (!runResult)
+      return
+    return formatTracing([runResult], t)[0]
+  }, [runResult, t])
+  const logsParams = useLogs()
+  const singleRunForms = (() => {
+    const forms: FormProps[] = []
+
+    if (varInputs.length > 0) {
+      forms.push(
+        {
+          label: t(`${i18nPrefix}.singleRun.variable`)!,
+          inputs: varInputs,
+          values: runInputData,
+          onChange: setRunInputData,
+        },
+      )
+    }
+
+    return forms
+  })()
+
+  const resetEditor = useStore(s => s.setControlPromptEditorRerenderKey)
+
+  return <div className='my-2'>
+    <Field title={t('workflow.nodes.agent.strategy.label')} className='px-4 py-2' tooltip={t('workflow.nodes.agent.strategy.tooltip')} >
+      <AgentStrategy
+        strategy={inputs.agent_strategy_name ? {
+          agent_strategy_provider_name: inputs.agent_strategy_provider_name!,
+          agent_strategy_name: inputs.agent_strategy_name!,
+          agent_strategy_label: inputs.agent_strategy_label!,
+          agent_output_schema: inputs.output_schema,
+          plugin_unique_identifier: inputs.plugin_unique_identifier!,
+        } : undefined}
+        onStrategyChange={(strategy) => {
+          setInputs({
+            ...inputs,
+            agent_strategy_provider_name: strategy?.agent_strategy_provider_name,
+            agent_strategy_name: strategy?.agent_strategy_name,
+            agent_strategy_label: strategy?.agent_strategy_label,
+            output_schema: strategy!.agent_output_schema,
+            plugin_unique_identifier: strategy!.plugin_unique_identifier,
+            agent_parameters: {},
+          })
+          resetEditor(Date.now())
+        }}
+        formSchema={currentStrategy?.parameters?.map(strategyParamToCredientialForm) || []}
+        formValue={formData}
+        onFormValueChange={onFormChange}
+        nodeOutputVars={availableVars}
+        availableNodes={availableNodesWithParent}
+        nodeId={props.id}
+      />
+    </Field>
+    <div>
+      <OutputVars>
+        <VarItem
+          name='text'
+          type='String'
+          description={t(`${i18nPrefix}.outputVars.text`)}
+        />
+        <VarItem
+          name='files'
+          type='Array[File]'
+          description={t(`${i18nPrefix}.outputVars.files.title`)}
+        />
+        <VarItem
+          name='json'
+          type='Array[Object]'
+          description={t(`${i18nPrefix}.outputVars.json`)}
+        />
+        {outputSchema.map(({ name, type, description }) => (
+          <VarItem
+            key={name}
+            name={name}
+            type={type}
+            description={description}
+          />
+        ))}
+      </OutputVars>
+    </div>
+    {
+      isShowSingleRun && (
+        <BeforeRunForm
+          nodeName={inputs.title}
+          nodeType={inputs.type}
+          onHide={hideSingleRun}
+          forms={singleRunForms}
+          runningStatus={runningStatus}
+          onRun={handleRun}
+          onStop={handleStop}
+          {...logsParams}
+          result={<ResultPanel {...runResult} nodeInfo={nodeInfo} showSteps={false} {...logsParams} />}
+        />
+      )
+    }
+  </div>
+}
+
+AgentPanel.displayName = 'AgentPanel'
+
+export default memo(AgentPanel)
diff --git a/web/app/components/workflow/nodes/agent/types.ts b/web/app/components/workflow/nodes/agent/types.ts
new file mode 100644
index 0000000000..1b5c96364f
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/types.ts
@@ -0,0 +1,11 @@
+import type { CommonNodeType } from '@/app/components/workflow/types'
+import type { ToolVarInputs } from '../tool/types'
+
+export type AgentNodeType = CommonNodeType & {
+  agent_strategy_provider_name?: string
+  agent_strategy_name?: string
+  agent_strategy_label?: string
+  agent_parameters?: ToolVarInputs
+  output_schema: Record<string, any>
+  plugin_unique_identifier?: string
+}
diff --git a/web/app/components/workflow/nodes/agent/use-config.ts b/web/app/components/workflow/nodes/agent/use-config.ts
new file mode 100644
index 0000000000..3cc63be5a5
--- /dev/null
+++ b/web/app/components/workflow/nodes/agent/use-config.ts
@@ -0,0 +1,208 @@
+import { useStrategyProviderDetail } from '@/service/use-strategy'
+import useNodeCrud from '../_base/hooks/use-node-crud'
+import useVarList from '../_base/hooks/use-var-list'
+import useOneStepRun from '../_base/hooks/use-one-step-run'
+import type { AgentNodeType } from './types'
+import {
+  useNodesReadOnly,
+} from '@/app/components/workflow/hooks'
+import { useCallback, useMemo } from 'react'
+import { type ToolVarInputs, VarType } from '../tool/types'
+import { useCheckInstalled, useFetchPluginsInMarketPlaceByIds } from '@/service/use-plugins'
+import type { Var } from '../../types'
+import { VarType as VarKindType } from '../../types'
+import useAvailableVarList from '../_base/hooks/use-available-var-list'
+
+export type StrategyStatus = {
+  plugin: {
+    source: 'external' | 'marketplace'
+    installed: boolean
+  }
+  isExistInPlugin: boolean
+}
+
+export const useStrategyInfo = (
+  strategyProviderName?: string,
+  strategyName?: string,
+) => {
+  const strategyProvider = useStrategyProviderDetail(
+    strategyProviderName || '',
+    { retry: false },
+  )
+  const strategy = strategyProvider.data?.declaration.strategies.find(
+    str => str.identity.name === strategyName,
+  )
+  const marketplace = useFetchPluginsInMarketPlaceByIds([strategyProviderName!], {
+    retry: false,
+  })
+  const strategyStatus: StrategyStatus | undefined = useMemo(() => {
+    if (strategyProvider.isLoading || marketplace.isLoading)
+      return undefined
+    const strategyExist = !!strategy
+    const isPluginInstalled = !strategyProvider.isError
+    const isInMarketplace = !!marketplace.data?.data.plugins.at(0)
+    return {
+      plugin: {
+        source: isInMarketplace ? 'marketplace' : 'external',
+        installed: isPluginInstalled,
+      },
+      isExistInPlugin: strategyExist,
+    }
+  }, [strategy, marketplace, strategyProvider.isError, strategyProvider.isLoading])
+  const refetch = useCallback(() => {
+    strategyProvider.refetch()
+    marketplace.refetch()
+  }, [marketplace, strategyProvider])
+  return {
+    strategyProvider,
+    strategy,
+    strategyStatus,
+    refetch,
+  }
+}
+
+const useConfig = (id: string, payload: AgentNodeType) => {
+  const { nodesReadOnly: readOnly } = useNodesReadOnly()
+  const { inputs, setInputs } = useNodeCrud<AgentNodeType>(id, payload)
+  // variables
+  const { handleVarListChange, handleAddVariable } = useVarList<AgentNodeType>({
+    inputs,
+    setInputs,
+  })
+  const {
+    strategyStatus: currentStrategyStatus,
+    strategy: currentStrategy,
+    strategyProvider,
+  } = useStrategyInfo(
+    inputs.agent_strategy_provider_name,
+    inputs.agent_strategy_name,
+  )
+  const pluginId = inputs.agent_strategy_provider_name?.split('/').splice(0, 2).join('/')
+  const pluginDetail = useCheckInstalled({
+    pluginIds: [pluginId!],
+    enabled: Boolean(pluginId),
+  })
+  const formData = useMemo(() => {
+    return Object.fromEntries(
+      Object.entries(inputs.agent_parameters || {}).map(([key, value]) => {
+        return [key, value.value]
+      }),
+    )
+  }, [inputs.agent_parameters])
+  const onFormChange = (value: Record<string, any>) => {
+    const res: ToolVarInputs = {}
+    Object.entries(value).forEach(([key, val]) => {
+      res[key] = {
+        type: VarType.constant,
+        value: val,
+      }
+    })
+    setInputs({
+      ...inputs,
+      agent_parameters: res,
+    })
+  }
+
+  // vars
+
+  const filterMemoryPromptVar = useCallback((varPayload: Var) => {
+    return [
+      VarKindType.arrayObject,
+      VarKindType.array,
+      VarKindType.number,
+      VarKindType.string,
+      VarKindType.secret,
+      VarKindType.arrayString,
+      VarKindType.arrayNumber,
+      VarKindType.file,
+      VarKindType.arrayFile,
+    ].includes(varPayload.type)
+  }, [])
+
+  const {
+    availableVars,
+    availableNodesWithParent,
+  } = useAvailableVarList(id, {
+    onlyLeafNodeVar: false,
+    filterVar: filterMemoryPromptVar,
+  })
+
+  // single run
+  const {
+    isShowSingleRun,
+    showSingleRun,
+    hideSingleRun,
+    toVarInputs,
+    runningStatus,
+    handleRun,
+    handleStop,
+    runInputData,
+    setRunInputData,
+    runResult,
+    getInputVars,
+  } = useOneStepRun<AgentNodeType>({
+    id,
+    data: inputs,
+    defaultRunInputData: {},
+  })
+  const allVarStrArr = (() => {
+    const arr = currentStrategy?.parameters.filter(item => item.type === 'string').map((item) => {
+      return formData[item.name]
+    }) || []
+
+    return arr
+  })()
+  const varInputs = (() => {
+    const vars = getInputVars(allVarStrArr)
+
+    return vars
+  })()
+
+  const outputSchema = useMemo(() => {
+    const res: any[] = []
+    if (!inputs.output_schema)
+      return []
+    Object.keys(inputs.output_schema.properties).forEach((outputKey) => {
+      const output = inputs.output_schema.properties[outputKey]
+      res.push({
+        name: outputKey,
+        type: output.type === 'array'
+          ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]`
+          : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`,
+        description: output.description,
+      })
+    })
+    return res
+  }, [inputs.output_schema])
+
+  return {
+    readOnly,
+    inputs,
+    setInputs,
+    handleVarListChange,
+    handleAddVariable,
+    currentStrategy,
+    formData,
+    onFormChange,
+    currentStrategyStatus,
+    strategyProvider: strategyProvider.data,
+    pluginDetail: pluginDetail.data?.plugins.at(0),
+    availableVars,
+    availableNodesWithParent,
+
+    isShowSingleRun,
+    showSingleRun,
+    hideSingleRun,
+    toVarInputs,
+    runningStatus,
+    handleRun,
+    handleStop,
+    runInputData,
+    setRunInputData,
+    runResult,
+    varInputs,
+    outputSchema,
+  }
+}
+
+export default useConfig
diff --git a/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx b/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx
index 8542bb4829..b2f8e8cb5b 100644
--- a/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx
+++ b/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx
@@ -108,7 +108,7 @@ const OperationSelector: FC<OperationSelectorProps> = ({
                     }}
                   >
                     <div className='flex min-h-5 px-1 items-center gap-1 grow'>
-                      <span className={'flex flex-grow text-text-secondary system-sm-medium'}>{t(`${i18nPrefix}.operations.${item.name}`)}</span>
+                      <span className={'flex grow text-text-secondary system-sm-medium'}>{t(`${i18nPrefix}.operations.${item.name}`)}</span>
                     </div>
                     {item.value === value && (
                       <div className='flex justify-center items-center'>
diff --git a/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx b/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx
index 42ee9845dd..52d076624d 100644
--- a/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx
+++ b/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx
@@ -128,7 +128,7 @@ const VarList: FC<Props> = ({
 
         return (
           <div className='flex items-start gap-1 self-stretch' key={index}>
-            <div className='flex flex-col items-start gap-1 flex-grow'>
+            <div className='flex flex-col items-start gap-1 grow'>
               <div className='flex items-center gap-1 self-stretch'>
                 <VarReferencePicker
                   readonly={readonly}
@@ -212,7 +212,7 @@ const VarList: FC<Props> = ({
             </div>
             <ActionButton
               size='l'
-              className='flex-shrink-0 group hover:!bg-state-destructive-hover'
+              className='shrink-0 group hover:!bg-state-destructive-hover'
               onClick={handleVarRemove(index)}
             >
               <RiDeleteBinLine className='text-text-tertiary w-4 h-4 group-hover:text-text-destructive' />
diff --git a/web/app/components/workflow/nodes/assigner/node.tsx b/web/app/components/workflow/nodes/assigner/node.tsx
index 516cfbcb16..23dcf04aae 100644
--- a/web/app/components/workflow/nodes/assigner/node.tsx
+++ b/web/app/components/workflow/nodes/assigner/node.tsx
@@ -3,7 +3,7 @@ import React from 'react'
 import { useNodes } from 'reactflow'
 import { useTranslation } from 'react-i18next'
 import NodeVariableItem from '../variable-assigner/components/node-variable-item'
-import { type AssignerNodeType } from './types'
+import type { AssignerNodeType } from './types'
 import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils'
 import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types'
 
diff --git a/web/app/components/workflow/nodes/assigner/panel.tsx b/web/app/components/workflow/nodes/assigner/panel.tsx
index a470d94929..6b151a7cb0 100644
--- a/web/app/components/workflow/nodes/assigner/panel.tsx
+++ b/web/app/components/workflow/nodes/assigner/panel.tsx
@@ -7,9 +7,9 @@ import {
 import VarList from './components/var-list'
 import useConfig from './use-config'
 import type { AssignerNodeType } from './types'
+import type { NodePanelProps } from '@/app/components/workflow/types'
 import { useHandleAddOperationItem } from './hooks'
 import ActionButton from '@/app/components/base/action-button'
-import { type NodePanelProps } from '@/app/components/workflow/types'
 
 const i18nPrefix = 'workflow.nodes.assigner'
 
@@ -40,7 +40,7 @@ const Panel: FC<NodePanelProps<AssignerNodeType>> = ({
     <div className='flex py-2 flex-col items-start self-stretch'>
       <div className='flex flex-col justify-center items-start gap-1 px-4 py-2 w-full self-stretch'>
         <div className='flex items-start gap-2 self-stretch'>
-          <div className='flex flex-col justify-center items-start flex-grow text-text-secondary system-sm-semibold-uppercase'>{t(`${i18nPrefix}.variables`)}</div>
+          <div className='flex flex-col justify-center items-start grow text-text-secondary system-sm-semibold-uppercase'>{t(`${i18nPrefix}.variables`)}</div>
           <ActionButton onClick={handleAddOperation}>
             <RiAddLine className='w-4 h-4 shrink-0 text-text-tertiary' />
           </ActionButton>
diff --git a/web/app/components/workflow/nodes/code/panel.tsx b/web/app/components/workflow/nodes/code/panel.tsx
index a0027daf53..f20a9c60d6 100644
--- a/web/app/components/workflow/nodes/code/panel.tsx
+++ b/web/app/components/workflow/nodes/code/panel.tsx
@@ -13,7 +13,7 @@ import Field from '@/app/components/workflow/nodes/_base/components/field'
 import Split from '@/app/components/workflow/nodes/_base/components/split'
 import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor'
 import TypeSelector from '@/app/components/workflow/nodes/_base/components/selector'
-import { type NodePanelProps } from '@/app/components/workflow/types'
+import type { NodePanelProps } from '@/app/components/workflow/types'
 import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form'
 import ResultPanel from '@/app/components/workflow/run/result-panel'
 const i18nPrefix = 'workflow.nodes.code'
diff --git a/web/app/components/workflow/nodes/constants.ts b/web/app/components/workflow/nodes/constants.ts
index 82a21d9a58..d765b89f86 100644
--- a/web/app/components/workflow/nodes/constants.ts
+++ b/web/app/components/workflow/nodes/constants.ts
@@ -34,6 +34,9 @@ import DocExtractorNode from './document-extractor/node'
 import DocExtractorPanel from './document-extractor/panel'
 import ListFilterNode from './list-operator/node'
 import ListFilterPanel from './list-operator/panel'
+import AgentNode from './agent/node'
+import AgentPanel from './agent/panel'
+import { TransferMethod } from '@/types/app'
 
 export const NodeComponentMap: Record<string, ComponentType<any>> = {
   [BlockEnum.Start]: StartNode,
@@ -54,6 +57,7 @@ export const NodeComponentMap: Record<string, ComponentType<any>> = {
   [BlockEnum.Iteration]: IterationNode,
   [BlockEnum.DocExtractor]: DocExtractorNode,
   [BlockEnum.ListFilter]: ListFilterNode,
+  [BlockEnum.Agent]: AgentNode,
 }
 
 export const PanelComponentMap: Record<string, ComponentType<any>> = {
@@ -75,6 +79,22 @@ export const PanelComponentMap: Record<string, ComponentType<any>> = {
   [BlockEnum.Iteration]: IterationPanel,
   [BlockEnum.DocExtractor]: DocExtractorPanel,
   [BlockEnum.ListFilter]: ListFilterPanel,
+  [BlockEnum.Agent]: AgentPanel,
 }
 
 export const CUSTOM_NODE_TYPE = 'custom'
+
+export const FILE_TYPE_OPTIONS = [
+  { value: 'image', i18nKey: 'image' },
+  { value: 'document', i18nKey: 'doc' },
+  { value: 'audio', i18nKey: 'audio' },
+  { value: 'video', i18nKey: 'video' },
+]
+
+export const TRANSFER_METHOD = [
+  { value: TransferMethod.local_file, i18nKey: 'localUpload' },
+  { value: TransferMethod.remote_url, i18nKey: 'url' },
+]
+
+export const SUB_VARIABLES = ['type', 'size', 'name', 'url', 'extension', 'mime_type', 'transfer_method']
+export const OUTPUT_FILE_SUB_VARIABLES = SUB_VARIABLES.filter(key => key !== 'transfer_method')
diff --git a/web/app/components/workflow/nodes/document-extractor/default.ts b/web/app/components/workflow/nodes/document-extractor/default.ts
index 4ffc64b72b..e141844d19 100644
--- a/web/app/components/workflow/nodes/document-extractor/default.ts
+++ b/web/app/components/workflow/nodes/document-extractor/default.ts
@@ -1,6 +1,6 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
-import { type DocExtractorNodeType } from './types'
+import type { DocExtractorNodeType } from './types'
 import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
diff --git a/web/app/components/workflow/nodes/document-extractor/node.tsx b/web/app/components/workflow/nodes/document-extractor/node.tsx
index 6324961051..becf9fda95 100644
--- a/web/app/components/workflow/nodes/document-extractor/node.tsx
+++ b/web/app/components/workflow/nodes/document-extractor/node.tsx
@@ -3,7 +3,7 @@ import React from 'react'
 import { useNodes } from 'reactflow'
 import { useTranslation } from 'react-i18next'
 import NodeVariableItem from '../variable-assigner/components/node-variable-item'
-import { type DocExtractorNodeType } from './types'
+import type { DocExtractorNodeType } from './types'
 import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils'
 import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types'
 
diff --git a/web/app/components/workflow/nodes/document-extractor/use-config.ts b/web/app/components/workflow/nodes/document-extractor/use-config.ts
index 9d720d7b63..95ac9fe7a7 100644
--- a/web/app/components/workflow/nodes/document-extractor/use-config.ts
+++ b/web/app/components/workflow/nodes/document-extractor/use-config.ts
@@ -4,7 +4,7 @@ import { useStoreApi } from 'reactflow'
 
 import type { ValueSelector, Var } from '../../types'
 import { InputVarType, VarType } from '../../types'
-import { type DocExtractorNodeType } from './types'
+import type { DocExtractorNodeType } from './types'
 import useNodeCrud from '@/app/components/workflow/nodes/_base/hooks/use-node-crud'
 import useOneStepRun from '@/app/components/workflow/nodes/_base/hooks/use-one-step-run'
 import {
diff --git a/web/app/components/workflow/nodes/end/default.ts b/web/app/components/workflow/nodes/end/default.ts
index 25abfb5849..8ff824a7a0 100644
--- a/web/app/components/workflow/nodes/end/default.ts
+++ b/web/app/components/workflow/nodes/end/default.ts
@@ -1,6 +1,6 @@
 import { BlockEnum } from '../../types'
 import type { NodeDefault } from '../../types'
-import { type EndNodeType } from './types'
+import type { EndNodeType } from './types'
 import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 
 const nodeDefault: NodeDefault<EndNodeType> = {
diff --git a/web/app/components/workflow/nodes/end/panel.tsx b/web/app/components/workflow/nodes/end/panel.tsx
index a74ba51b6d..fc5e498d13 100644
--- a/web/app/components/workflow/nodes/end/panel.tsx
+++ b/web/app/components/workflow/nodes/end/panel.tsx
@@ -1,4 +1,4 @@
-import { type FC } from 'react'
+import type { FC } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
 import useConfig from './use-config'
@@ -6,7 +6,7 @@ import type { EndNodeType } from './types'
 import VarList from '@/app/components/workflow/nodes/_base/components/variable/var-list'
 import Field from '@/app/components/workflow/nodes/_base/components/field'
 import AddButton from '@/app/components/base/button/add-button'
-import { type NodePanelProps } from '@/app/components/workflow/types'
+import type { NodePanelProps } from '@/app/components/workflow/types'
 
 const i18nPrefix = 'workflow.nodes.end'
 
diff --git a/web/app/components/workflow/nodes/http/components/authorization/index.tsx b/web/app/components/workflow/nodes/http/components/authorization/index.tsx
index 7110188dbe..5f0cf8d888 100644
--- a/web/app/components/workflow/nodes/http/components/authorization/index.tsx
+++ b/web/app/components/workflow/nodes/http/components/authorization/index.tsx
@@ -17,7 +17,7 @@ import cn from '@/utils/classnames'
 
 const i18nPrefix = 'workflow.nodes.http.authorization'
 
-type Props = {
+interface Props {
   nodeId: string
   payload: AuthorizationPayloadType
   onChange: (payload: AuthorizationPayloadType) => void
diff --git a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx
index b58cc68064..0297d3102e 100644
--- a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx
+++ b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx
@@ -15,7 +15,7 @@ import { VarType } from '@/app/components/workflow/types'
 
 const UNIQUE_ID_PREFIX = 'key-value-'
 
-type Props = {
+interface Props {
   readonly: boolean
   nodeId: string
   payload: Body
diff --git a/web/app/components/workflow/nodes/http/components/key-value/index.tsx b/web/app/components/workflow/nodes/http/components/key-value/index.tsx
index e930114f32..97f69ff2db 100644
--- a/web/app/components/workflow/nodes/http/components/key-value/index.tsx
+++ b/web/app/components/workflow/nodes/http/components/key-value/index.tsx
@@ -4,7 +4,7 @@ import React from 'react'
 import type { KeyValue } from '../../types'
 import KeyValueEdit from './key-value-edit'
 
-type Props = {
+interface Props {
   readonly: boolean
   nodeId: string
   list: KeyValue[]
diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx
index adf7f966e0..dac2c1c17c 100644
--- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx
+++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx
@@ -9,7 +9,7 @@ import cn from '@/utils/classnames'
 
 const i18nPrefix = 'workflow.nodes.http'
 
-type Props = {
+interface Props {
   readonly: boolean
   nodeId: string
   list: KeyValue[]
diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx
index b6d2904d64..fdaeefbc4a 100644
--- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx
+++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx
@@ -8,7 +8,7 @@ import RemoveButton from '@/app/components/workflow/nodes/_base/components/remov
 import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var'
 import type { Var } from '@/app/components/workflow/types'
 import { VarType } from '@/app/components/workflow/types'
-type Props = {
+interface Props {
   className?: string
   instanceId?: string
   nodeId: string
diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx
index 75c6a77873..9c64f9f764 100644
--- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx
+++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx
@@ -14,7 +14,7 @@ import { VarType } from '@/app/components/workflow/types'
 
 const i18nPrefix = 'workflow.nodes.http'
 
-type Props = {
+interface Props {
   instanceId: string
   className?: string
   nodeId: string
diff --git a/web/app/components/workflow/nodes/http/components/timeout/index.tsx b/web/app/components/workflow/nodes/http/components/timeout/index.tsx
index f20a91dba5..2de3bd443c 100644
--- a/web/app/components/workflow/nodes/http/components/timeout/index.tsx
+++ b/web/app/components/workflow/nodes/http/components/timeout/index.tsx
@@ -6,7 +6,7 @@ import type { Timeout as TimeoutPayloadType } from '../../types'
 import Input from '@/app/components/base/input'
 import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/collapse'
 
-type Props = {
+interface Props {
   readonly: boolean
   nodeId: string
   payload: TimeoutPayloadType
@@ -35,7 +35,7 @@ const InputField: FC<{
         type='number'
         value={value}
         onChange={(e) => {
-          const value = Math.max(min, Math.min(max, parseInt(e.target.value, 10)))
+          const value = Math.max(min, Math.min(max, Number.parseInt(e.target.value, 10)))
           onChange(value)
         }}
         placeholder={placeholder}
diff --git a/web/app/components/workflow/nodes/http/panel.tsx b/web/app/components/workflow/nodes/http/panel.tsx
index 91b3a6140d..8f2b901a84 100644
--- a/web/app/components/workflow/nodes/http/panel.tsx
+++ b/web/app/components/workflow/nodes/http/panel.tsx
@@ -18,7 +18,6 @@ import { FileArrow01 } from '@/app/components/base/icons/src/vender/line/files'
 import type { NodePanelProps } from '@/app/components/workflow/types'
 import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form'
 import ResultPanel from '@/app/components/workflow/run/result-panel'
-import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks'
 
 const i18nPrefix = 'workflow.nodes.http'
 
@@ -61,10 +60,6 @@ const Panel: FC<NodePanelProps<HttpNodeType>> = ({
     hideCurlPanel,
     handleCurlImport,
   } = useConfig(id, data)
-  const {
-    retryDetails,
-    handleRetryDetailsChange,
-  } = useRetryDetailShowInSingleRun()
   // To prevent prompt editor in body not update data.
   if (!isDataReady)
     return null
@@ -198,9 +193,7 @@ const Panel: FC<NodePanelProps<HttpNodeType>> = ({
           runningStatus={runningStatus}
           onRun={handleRun}
           onStop={handleStop}
-          retryDetails={retryDetails}
-          onRetryDetailBack={handleRetryDetailsChange}
-          result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />}
+          result={<ResultPanel {...runResult} showSteps={false} />}
         />
       )}
       {(isShowCurlPanel && !readOnly) && (
diff --git a/web/app/components/workflow/nodes/http/types.ts b/web/app/components/workflow/nodes/http/types.ts
index f1937ec5bd..775d621eea 100644
--- a/web/app/components/workflow/nodes/http/types.ts
+++ b/web/app/components/workflow/nodes/http/types.ts
@@ -18,7 +18,7 @@ export enum BodyType {
   binary = 'binary',
 }
 
-export type KeyValue = {
+export interface KeyValue {
   id?: string
   key: string
   value: string
@@ -38,7 +38,7 @@ export type BodyPayload = {
   file?: ValueSelector // when type is file
   value?: string // when type is text
 }[]
-export type Body = {
+export interface Body {
   type: BodyType
   data: string | BodyPayload // string is deprecated, it would convert to BodyPayload after loaded
 }
@@ -54,7 +54,7 @@ export enum APIType {
   custom = 'custom',
 }
 
-export type Authorization = {
+export interface Authorization {
   type: AuthorizationType
   config?: {
     type: APIType
@@ -63,7 +63,7 @@ export type Authorization = {
   } | null
 }
 
-export type Timeout = {
+export interface Timeout {
   connect?: number
   read?: number
   write?: number
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-add.tsx b/web/app/components/workflow/nodes/if-else/components/condition-add.tsx
index 344e986305..8b14a59dcc 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-add.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-add.tsx
@@ -18,7 +18,7 @@ import type {
   Var,
 } from '@/app/components/workflow/types'
 
-type ConditionAddProps = {
+interface ConditionAddProps {
   className?: string
   caseId: string
   variables: NodeOutPutVar[]
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx b/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx
index f21a3fac10..b0cfdeaf28 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx
@@ -9,7 +9,7 @@ import {
   isComparisonOperatorNeedTranslate,
   isEmptyRelatedOperator,
 } from '../utils'
-import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../default'
+import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../../constants'
 import type { ValueSelector } from '../../../types'
 import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development'
 import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others'
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx
index 818383c750..670f766bea 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx
@@ -21,7 +21,7 @@ import {
 } from '../../types'
 import { comparisonOperatorNotRequireValue, getOperators } from '../../utils'
 import ConditionNumberInput from '../condition-number-input'
-import { FILE_TYPE_OPTIONS, SUB_VARIABLES, TRANSFER_METHOD } from '../../default'
+import { FILE_TYPE_OPTIONS, SUB_VARIABLES, TRANSFER_METHOD } from '../../../constants'
 import ConditionWrap from '../condition-wrap'
 import ConditionOperator from './condition-operator'
 import ConditionInput from './condition-input'
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx
index ecbe53f689..afd9b1bccd 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx
@@ -16,7 +16,7 @@ import type { VarType } from '@/app/components/workflow/types'
 import cn from '@/utils/classnames'
 const i18nPrefix = 'workflow.nodes.ifElse'
 
-type ConditionOperatorProps = {
+interface ConditionOperatorProps {
   className?: string
   disabled?: boolean
   varType: VarType
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx
index 05b5df4f4a..7417cd1077 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx
@@ -19,7 +19,7 @@ import type {
 } from '@/app/components/workflow/types'
 import cn from '@/utils/classnames'
 
-type ConditionListProps = {
+interface ConditionListProps {
   isSubVariable?: boolean
   disabled?: boolean
   caseId: string
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx b/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx
index 5dabd967cd..95b0aa0c02 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx
@@ -30,7 +30,7 @@ const options = [
   NumberVarType.constant,
 ]
 
-type ConditionNumberInputProps = {
+interface ConditionNumberInputProps {
   numberVarType?: NumberVarType
   onNumberVarTypeChange: (v: NumberVarType) => void
   value: string
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-value.tsx b/web/app/components/workflow/nodes/if-else/components/condition-value.tsx
index e997c2cbd2..8bfa77acc1 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-value.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-value.tsx
@@ -9,7 +9,7 @@ import {
   comparisonOperatorNotRequireValue,
   isComparisonOperatorNeedTranslate,
 } from '../utils'
-import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../default'
+import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../../constants'
 import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development'
 import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others'
 import cn from '@/utils/classnames'
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx b/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx
index 39c03c9b38..a09cb5fa29 100644
--- a/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx
+++ b/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx
@@ -12,7 +12,7 @@ import type { CaseItem, HandleAddCondition, HandleAddSubVariableCondition, Handl
 import type { Node, NodeOutPutVar, Var } from '../../../types'
 import { VarType } from '../../../types'
 import { useGetAvailableVars } from '../../variable-assigner/hooks'
-import { SUB_VARIABLES } from '../default'
+import { SUB_VARIABLES } from '../../constants'
 import ConditionList from './condition-list'
 import ConditionAdd from './condition-add'
 import cn from '@/utils/classnames'
diff --git a/web/app/components/workflow/nodes/if-else/default.ts b/web/app/components/workflow/nodes/if-else/default.ts
index 8d98f694bd..1be80592e5 100644
--- a/web/app/components/workflow/nodes/if-else/default.ts
+++ b/web/app/components/workflow/nodes/if-else/default.ts
@@ -1,7 +1,6 @@
 import { BlockEnum, type NodeDefault } from '../../types'
 import { type IfElseNodeType, LogicalOperator } from './types'
 import { isEmptyRelatedOperator } from './utils'
-import { TransferMethod } from '@/types/app'
 import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks'
 const i18nPrefix = 'workflow.errorMsg'
 
@@ -79,18 +78,3 @@ const nodeDefault: NodeDefault<IfElseNodeType> = {
 }
 
 export default nodeDefault
-
-export const FILE_TYPE_OPTIONS = [
-  { value: 'image', i18nKey: 'image' },
-  { value: 'document', i18nKey: 'doc' },
-  { value: 'audio', i18nKey: 'audio' },
-  { value: 'video', i18nKey: 'video' },
-]
-
-export const TRANSFER_METHOD = [
-  { value: TransferMethod.local_file, i18nKey: 'localUpload' },
-  { value: TransferMethod.remote_url, i18nKey: 'url' },
-]
-
-export const SUB_VARIABLES = ['type', 'size', 'name', 'url', 'extension', 'mime_type', 'transfer_method']
-export const OUTPUT_FILE_SUB_VARIABLES = SUB_VARIABLES.filter(key => key !== 'transfer_method')
diff --git a/web/app/components/workflow/nodes/if-else/types.ts b/web/app/components/workflow/nodes/if-else/types.ts
index 56952de25a..22238b3389 100644
--- a/web/app/components/workflow/nodes/if-else/types.ts
+++ b/web/app/components/workflow/nodes/if-else/types.ts
@@ -35,7 +35,7 @@ export enum ComparisonOperator {
   notExists = 'not exists',
 }
 
-export type Condition = {
+export interface Condition {
   id: string
   varType: VarType
   variable_selector?: ValueSelector
@@ -46,7 +46,7 @@ export type Condition = {
   sub_variable_condition?: CaseItem
 }
 
-export type CaseItem = {
+export interface CaseItem {
   case_id: string
   logical_operator: LogicalOperator
   conditions: Condition[]
diff --git a/web/app/components/workflow/nodes/iteration/panel.tsx b/web/app/components/workflow/nodes/iteration/panel.tsx
index b21f11fc7a..31aeaba637 100644
--- a/web/app/components/workflow/nodes/iteration/panel.tsx
+++ b/web/app/components/workflow/nodes/iteration/panel.tsx
@@ -1,13 +1,9 @@
 import type { FC } from 'react'
 import React from 'react'
 import { useTranslation } from 'react-i18next'
-import {
-  RiArrowRightSLine,
-} from '@remixicon/react'
 import VarReferencePicker from '../_base/components/variable/var-reference-picker'
 import Split from '../_base/components/split'
 import ResultPanel from '../../run/result-panel'
-import IterationResultPanel from '../../run/iteration-result-panel'
 import { MAX_ITERATION_PARALLEL_NUM, MIN_ITERATION_PARALLEL_NUM } from '../../constants'
 import type { IterationNodeType } from './types'
 import useConfig from './use-config'
@@ -18,6 +14,9 @@ import Switch from '@/app/components/base/switch'
 import Select from '@/app/components/base/select'
 import Slider from '@/app/components/base/slider'
 import Input from '@/app/components/base/input'
+import formatTracing from '@/app/components/workflow/run/utils/format-log'
+
+import { useLogs } from '@/app/components/workflow/run/hooks'
 
 const i18nPrefix = 'workflow.nodes.iteration'
 
@@ -50,10 +49,6 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
     handleOutputVarChange,
     isShowSingleRun,
     hideSingleRun,
-    isShowIterationDetail,
-    backToSingleRun,
-    showIterationDetail,
-    hideIterationDetail,
     runningStatus,
     handleRun,
     handleStop,
@@ -70,6 +65,9 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
     changeParallelNums,
   } = useConfig(id, data)
 
+  const nodeInfo = formatTracing(iterationRunResult, t)[0]
+  const logsParams = useLogs()
+
   return (
     <div className='pt-2 pb-2'>
       <div className='px-4 pb-4 space-y-4'>
@@ -123,7 +121,7 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
                 onChange={changeParallelNums}
                 max={MAX_ITERATION_PARALLEL_NUM}
                 min={MIN_ITERATION_PARALLEL_NUM}
-                className=' flex-shrink-0 flex-1 mt-4'
+                className=' shrink-0 flex-1 mt-4'
               />
             </div>
 
@@ -163,27 +161,12 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({
           runningStatus={runningStatus}
           onRun={handleRun}
           onStop={handleStop}
+          {...logsParams}
           result={
-            <div className='mt-3'>
-              <div className='px-4'>
-                <div className='flex items-center h-[34px] justify-between px-3 bg-gray-100 border-[0.5px] border-gray-200 rounded-lg cursor-pointer' onClick={showIterationDetail}>
-                  <div className='leading-[18px] text-[13px] font-medium text-gray-700'>{t(`${i18nPrefix}.iteration`, { count: iterationRunResult.length })}</div>
-                  <RiArrowRightSLine className='w-3.5 h-3.5 text-gray-500' />
-                </div>
-                <Split className='mt-3' />
-              </div>
-              <ResultPanel {...runResult} showSteps={false} />
-            </div>
+            <ResultPanel {...runResult} showSteps={false} nodeInfo={nodeInfo} {...logsParams} />
           }
         />
       )}
-      {isShowIterationDetail && (
-        <IterationResultPanel
-          onBack={backToSingleRun}
-          onHide={hideIterationDetail}
-          list={iterationRunResult}
-        />
-      )}
     </div>
   )
 }
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
index e65495d370..bf0485e1ce 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx
@@ -84,7 +84,7 @@ const DatasetItem: FC<Props> = ({
                 showSettingsModal()
               }}
             >
-              <RiEditLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' />
+              <RiEditLine className='w-4 h-4 shrink-0 text-text-tertiary' />
             </ActionButton>
           }
           <ActionButton
@@ -93,7 +93,7 @@ const DatasetItem: FC<Props> = ({
             onMouseEnter={() => setIsDeleteHovered(true)}
             onMouseLeave={() => setIsDeleteHovered(false)}
           >
-            <RiDeleteBinLine className={`w-4 h-4 flex-shrink-0 ${isDeleteHovered ? 'text-text-destructive' : 'text-text-tertiary'}`} />
+            <RiDeleteBinLine className={`w-4 h-4 shrink-0 ${isDeleteHovered ? 'text-text-destructive' : 'text-text-tertiary'}`} />
           </ActionButton>
         </div>
       )}
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
index eccafa9184..fd4a5806eb 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
@@ -167,6 +167,9 @@ export const getMultipleRetrievalConfig = (
         }
       }
     }
+    else {
+      result.reranking_enable = true
+    }
   }
 
   if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {
diff --git a/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx b/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx
index b64f753514..0c261a70d6 100644
--- a/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx
+++ b/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx
@@ -9,7 +9,7 @@ import { ComparisonOperator } from '../../if-else/types'
 import { comparisonOperatorNotRequireValue, getOperators } from '../../if-else/utils'
 import SubVariablePicker from './sub-variable-picker'
 import Input from '@/app/components/base/input'
-import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '@/app/components/workflow/nodes/if-else/default'
+import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '@/app/components/workflow/nodes/constants'
 import { SimpleSelect as Select } from '@/app/components/base/select'
 
 const optionNameI18NPrefix = 'workflow.nodes.ifElse.optionName'
diff --git a/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx b/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx
index f245e07c12..b8812d3473 100644
--- a/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx
+++ b/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx
@@ -45,7 +45,7 @@ const LimitConfig: FC<Props> = ({
   const handleLimitSizeChange = useCallback((size: number | string) => {
     onChange({
       ...config,
-      size: parseInt(size as string),
+      size: Number.parseInt(size as string),
     })
   }, [onChange, config])
 
diff --git a/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx b/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx
index 0a210504cf..c3a8708603 100644
--- a/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx
+++ b/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx
@@ -2,7 +2,7 @@
 import type { FC } from 'react'
 import React, { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
-import { SUB_VARIABLES } from '../../if-else/default'
+import { SUB_VARIABLES } from '../../constants'
 import type { Item } from '@/app/components/base/select'
 import { SimpleSelect as Select } from '@/app/components/base/select'
 import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development'
diff --git a/web/app/components/workflow/nodes/list-operator/node.tsx b/web/app/components/workflow/nodes/list-operator/node.tsx
index 721e13b2d2..5c498369c7 100644
--- a/web/app/components/workflow/nodes/list-operator/node.tsx
+++ b/web/app/components/workflow/nodes/list-operator/node.tsx
@@ -3,7 +3,7 @@ import React from 'react'
 import { useNodes } from 'reactflow'
 import { useTranslation } from 'react-i18next'
 import NodeVariableItem from '../variable-assigner/components/node-variable-item'
-import { type ListFilterNodeType } from './types'
+import type { ListFilterNodeType } from './types'
 import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils'
 import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types'
 
diff --git a/web/app/components/workflow/nodes/list-operator/panel.tsx b/web/app/components/workflow/nodes/list-operator/panel.tsx
index 3075c1dec7..4212305c8c 100644
--- a/web/app/components/workflow/nodes/list-operator/panel.tsx
+++ b/web/app/components/workflow/nodes/list-operator/panel.tsx
@@ -11,7 +11,7 @@ import { type ListFilterNodeType, OrderBy } from './types'
 import LimitConfig from './components/limit-config'
 import FilterCondition from './components/filter-condition'
 import Field from '@/app/components/workflow/nodes/_base/components/field'
-import { type NodePanelProps } from '@/app/components/workflow/types'
+import type { NodePanelProps } from '@/app/components/workflow/types'
 import Switch from '@/app/components/base/switch'
 import ExtractInput from '@/app/components/workflow/nodes/list-operator/components/extract-input'
 
diff --git a/web/app/components/workflow/nodes/llm/node.tsx b/web/app/components/workflow/nodes/llm/node.tsx
index 3d81c172be..ce676ba984 100644
--- a/web/app/components/workflow/nodes/llm/node.tsx
+++ b/web/app/components/workflow/nodes/llm/node.tsx
@@ -25,6 +25,7 @@ const Node: FC<NodeProps<LLMNodeType>> = ({
         <ModelSelector
           defaultModel={{ provider, model: modelId }}
           modelList={textGenerationModelList}
+          triggerClassName='!h-6 !rounded-md'
           readonly
         />
       )}
diff --git a/web/app/components/workflow/nodes/llm/panel.tsx b/web/app/components/workflow/nodes/llm/panel.tsx
index 60f68d93e2..cc0f1c18f4 100644
--- a/web/app/components/workflow/nodes/llm/panel.tsx
+++ b/web/app/components/workflow/nodes/llm/panel.tsx
@@ -19,7 +19,6 @@ import type { Props as FormProps } from '@/app/components/workflow/nodes/_base/c
 import ResultPanel from '@/app/components/workflow/run/result-panel'
 import Tooltip from '@/app/components/base/tooltip'
 import Editor from '@/app/components/workflow/nodes/_base/components/prompt/editor'
-import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks'
 
 const i18nPrefix = 'workflow.nodes.llm'
 
@@ -70,10 +69,6 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
     runResult,
     filterJinjia2InputVar,
   } = useConfig(id, data)
-  const {
-    retryDetails,
-    handleRetryDetailsChange,
-  } = useRetryDetailShowInSingleRun()
 
   const model = inputs.model
 
@@ -293,9 +288,7 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
           runningStatus={runningStatus}
           onRun={handleRun}
           onStop={handleStop}
-          retryDetails={retryDetails}
-          onRetryDetailBack={handleRetryDetailsChange}
-          result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />}
+          result={<ResultPanel {...runResult} showSteps={false} />}
         />
       )}
     </div>
diff --git a/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx b/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx
index f7cf7bddad..dbf0839ebf 100644
--- a/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx
+++ b/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx
@@ -28,7 +28,7 @@ const DEFAULT_PARAM: Param = {
   required: false,
 }
 
-type Props = {
+interface Props {
   type: 'add' | 'edit'
   payload?: Param
   onSave: (payload: Param, moreInfo?: MoreInfo) => void
diff --git a/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx b/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx
index f4fd6e85a6..8612e8954f 100644
--- a/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx
+++ b/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx
@@ -8,7 +8,7 @@ import OptionCard from '../../_base/components/option-card'
 
 const i18nPrefix = 'workflow.nodes.parameterExtractor'
 
-type Props = {
+interface Props {
   type: ReasoningModeType
   onChange: (type: ReasoningModeType) => void
 }
diff --git a/web/app/components/workflow/nodes/parameter-extractor/node.tsx b/web/app/components/workflow/nodes/parameter-extractor/node.tsx
index 8a1b08e924..d79ae717d9 100644
--- a/web/app/components/workflow/nodes/parameter-extractor/node.tsx
+++ b/web/app/components/workflow/nodes/parameter-extractor/node.tsx
@@ -21,6 +21,7 @@ const Node: FC<NodeProps<ParameterExtractorNodeType>> = ({
         <ModelSelector
           defaultModel={{ provider, model: modelId }}
           modelList={textGenerationModelList}
+          triggerClassName='!h-6 !rounded-md'
           readonly
         />
       )}
diff --git a/web/app/components/workflow/nodes/parameter-extractor/types.ts b/web/app/components/workflow/nodes/parameter-extractor/types.ts
index f5ba717be8..f96d26a7af 100644
--- a/web/app/components/workflow/nodes/parameter-extractor/types.ts
+++ b/web/app/components/workflow/nodes/parameter-extractor/types.ts
@@ -10,7 +10,7 @@ export enum ParamType {
   arrayObject = 'array[object]',
 }
 
-export type Param = {
+export interface Param {
   name: string
   type: ParamType
   options?: string[]
diff --git a/web/app/components/workflow/nodes/question-classifier/node.tsx b/web/app/components/workflow/nodes/question-classifier/node.tsx
index 8ca721fbef..8316c3b259 100644
--- a/web/app/components/workflow/nodes/question-classifier/node.tsx
+++ b/web/app/components/workflow/nodes/question-classifier/node.tsx
@@ -32,6 +32,7 @@ const Node: FC<NodeProps<QuestionClassifierNodeType>> = (props) => {
       {hasSetModel && (
         <ModelSelector
           defaultModel={{ provider, model: modelId }}
+          triggerClassName='!h-6 !rounded-md'
           modelList={textGenerationModelList}
           readonly
         />
diff --git a/web/app/components/workflow/nodes/question-classifier/types.ts b/web/app/components/workflow/nodes/question-classifier/types.ts
index ddc16b4501..ca102b083e 100644
--- a/web/app/components/workflow/nodes/question-classifier/types.ts
+++ b/web/app/components/workflow/nodes/question-classifier/types.ts
@@ -1,6 +1,6 @@
 import type { CommonNodeType, Memory, ModelConfig, ValueSelector, VisionSetting } from '@/app/components/workflow/types'
 
-export type Topic = {
+export interface Topic {
   id: string
   name: string
 }
diff --git a/web/app/components/workflow/nodes/start/components/var-item.tsx b/web/app/components/workflow/nodes/start/components/var-item.tsx
index 8a94161999..2ccb1edb56 100644
--- a/web/app/components/workflow/nodes/start/components/var-item.tsx
+++ b/web/app/components/workflow/nodes/start/components/var-item.tsx
@@ -13,7 +13,7 @@ import { Edit03 } from '@/app/components/base/icons/src/vender/solid/general'
 import Badge from '@/app/components/base/badge'
 import ConfigVarModal from '@/app/components/app/configuration/config-var/config-modal'
 
-type Props = {
+interface Props {
   readonly: boolean
   payload: InputVar
   onChange?: (item: InputVar, moreInfo?: MoreInfo) => void
diff --git a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx
index bab7c20d5b..d4cef82c43 100644
--- a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx
+++ b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx
@@ -14,6 +14,9 @@ import VarReferencePicker from '@/app/components/workflow/nodes/_base/components
 import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var'
 import useAvailableVarList from '@/app/components/workflow/nodes/_base/hooks/use-available-var-list'
 import { VarType } from '@/app/components/workflow/types'
+import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector'
+import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector'
+
 type Props = {
   readOnly: boolean
   nodeId: string
@@ -46,12 +49,14 @@ const InputVarList: FC<Props> = ({
   const paramType = (type: string) => {
     if (type === FormTypeEnum.textNumber)
       return 'Number'
-    else if (type === FormTypeEnum.file)
-      return 'File'
-    else if (type === FormTypeEnum.files)
+    else if (type === FormTypeEnum.file || type === FormTypeEnum.files)
       return 'Files'
-    else if (type === FormTypeEnum.select)
-      return 'Options'
+    else if (type === FormTypeEnum.appSelector)
+      return 'AppSelector'
+    else if (type === FormTypeEnum.modelSelector)
+      return 'ModelSelector'
+    else if (type === FormTypeEnum.toolSelector)
+      return 'ToolSelector'
     else
       return 'String'
   }
@@ -73,7 +78,7 @@ const InputVarList: FC<Props> = ({
       })
       onChange(newValue)
     }
-  }, [value, onChange, isSupportConstantValue])
+  }, [value, onChange])
 
   const handleMixedTypeChange = useCallback((variable: string) => {
     return (itemValue: string) => {
@@ -105,6 +110,30 @@ const InputVarList: FC<Props> = ({
     }
   }, [value, onChange])
 
+  const handleAppChange = useCallback((variable: string) => {
+    return (app: {
+      app_id: string
+      inputs: Record<string, any>
+      files?: any[]
+    }) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        draft[variable] = app as any
+      })
+      onChange(newValue)
+    }
+  }, [onChange, value])
+  const handleModelChange = useCallback((variable: string) => {
+    return (model: any) => {
+      const newValue = produce(value, (draft: ToolVarInputs) => {
+        draft[variable] = {
+          ...draft[variable],
+          ...model,
+        } as any
+      })
+      onChange(newValue)
+    }
+  }, [onChange, value])
+
   const [inputsIsFocus, setInputsIsFocus] = useState<Record<string, boolean>>({})
   const handleInputFocus = useCallback((variable: string) => {
     return (value: boolean) => {
@@ -129,13 +158,16 @@ const InputVarList: FC<Props> = ({
             type,
             required,
             tooltip,
+            scope,
           } = schema
           const varInput = value[variable]
           const isNumber = type === FormTypeEnum.textNumber
           const isSelect = type === FormTypeEnum.select
-          const isFile = type === FormTypeEnum.file
-          const isFileArray = type === FormTypeEnum.files
-          const isString = !isNumber && !isSelect && !isFile && !isFileArray
+          const isFile = type === FormTypeEnum.file || type === FormTypeEnum.files
+          const isAppSelector = type === FormTypeEnum.appSelector
+          const isModelSelector = type === FormTypeEnum.modelSelector
+          // const isToolSelector = type === FormTypeEnum.toolSelector
+          const isString = !isNumber && !isSelect && !isFile && !isAppSelector && !isModelSelector
 
           return (
             <div key={variable} className='space-y-1'>
@@ -181,19 +213,26 @@ const InputVarList: FC<Props> = ({
                   onChange={handleFileChange(variable)}
                   onOpen={handleOpen(index)}
                   defaultVarKindType={VarKindType.variable}
-                  filterVar={(varPayload: Var) => varPayload.type === VarType.file}
+                  filterVar={(varPayload: Var) => varPayload.type === VarType.file || varPayload.type === VarType.arrayFile}
                 />
               )}
-              {isFileArray && (
-                <VarReferencePicker
+              {isAppSelector && (
+                <AppSelector
+                  disabled={readOnly}
+                  scope={scope || 'all'}
+                  value={varInput as any}
+                  onSelect={handleAppChange(variable)}
+                />
+              )}
+              {isModelSelector && (
+                <ModelParameterModal
+                  popupClassName='!w-[387px]'
+                  isAdvancedMode
+                  isInWorkflow
+                  value={varInput as any}
+                  setModel={handleModelChange(variable)}
                   readonly={readOnly}
-                  isShowNodeName
-                  nodeId={nodeId}
-                  value={varInput?.value || []}
-                  onChange={handleFileChange(variable)}
-                  onOpen={handleOpen(index)}
-                  defaultVarKindType={VarKindType.variable}
-                  filterVar={(varPayload: Var) => varPayload.type === VarType.arrayFile}
+                  scope={scope}
                 />
               )}
               {tooltip && <div className='text-text-tertiary body-xs-regular'>{tooltip[language] || tooltip.en_US}</div>}
diff --git a/web/app/components/workflow/nodes/tool/node.tsx b/web/app/components/workflow/nodes/tool/node.tsx
index 4de03394c3..d7ed993aab 100644
--- a/web/app/components/workflow/nodes/tool/node.tsx
+++ b/web/app/components/workflow/nodes/tool/node.tsx
@@ -2,6 +2,7 @@ import type { FC } from 'react'
 import React from 'react'
 import type { ToolNodeType } from './types'
 import type { NodeProps } from '@/app/components/workflow/types'
+import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 
 const Node: FC<NodeProps<ToolNodeType>> = ({
   data,
@@ -20,9 +21,21 @@ const Node: FC<NodeProps<ToolNodeType>> = ({
             <div title={key} className='max-w-[100px] shrink-0 truncate text-xs font-medium text-gray-500 uppercase'>
               {key}
             </div>
-            <div title={tool_configurations[key]} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'>
-              {tool_configurations[key]}
-            </div>
+            {typeof tool_configurations[key] === 'string' && (
+              <div title={tool_configurations[key]} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'>
+                {tool_configurations[key]}
+              </div>
+            )}
+            {typeof tool_configurations[key] !== 'string' && tool_configurations[key]?.type === FormTypeEnum.modelSelector && (
+              <div title={tool_configurations[key].model} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'>
+                {tool_configurations[key].model}
+              </div>
+            )}
+            {/* {typeof tool_configurations[key] !== 'string' && tool_configurations[key]?.type === FormTypeEnum.appSelector && (
+              <div title={tool_configurations[key].app_id} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'>
+                {tool_configurations[key].app_id}
+              </div>
+            )} */}
           </div>
 
         ))}
diff --git a/web/app/components/workflow/nodes/tool/panel.tsx b/web/app/components/workflow/nodes/tool/panel.tsx
index d0d4c3a839..93e2e9130f 100644
--- a/web/app/components/workflow/nodes/tool/panel.tsx
+++ b/web/app/components/workflow/nodes/tool/panel.tsx
@@ -1,5 +1,5 @@
 import type { FC } from 'react'
-import React from 'react'
+import React, { useMemo } from 'react'
 import { useTranslation } from 'react-i18next'
 import Split from '../_base/components/split'
 import type { ToolNodeType } from './types'
@@ -14,8 +14,9 @@ import Loading from '@/app/components/base/loading'
 import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form'
 import OutputVars, { VarItem } from '@/app/components/workflow/nodes/_base/components/output-vars'
 import ResultPanel from '@/app/components/workflow/run/result-panel'
-import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks'
 import { useToolIcon } from '@/app/components/workflow/hooks'
+import { useLogs } from '@/app/components/workflow/run/hooks'
+import formatToTracingNodeList from '@/app/components/workflow/run/utils/format-log'
 
 const i18nPrefix = 'workflow.nodes.tool'
 
@@ -49,12 +50,15 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({
     handleRun,
     handleStop,
     runResult,
+    outputSchema,
   } = useConfig(id, data)
   const toolIcon = useToolIcon(data)
-  const {
-    retryDetails,
-    handleRetryDetailsChange,
-  } = useRetryDetailShowInSingleRun()
+  const logsParams = useLogs()
+  const nodeInfo = useMemo(() => {
+    if (!runResult)
+      return null
+    return formatToTracingNodeList([runResult], t)[0]
+  }, [runResult, t])
 
   if (isLoading) {
     return <div className='flex h-[200px] items-center justify-center'>
@@ -143,6 +147,14 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({
               type='Array[Object]'
               description={t(`${i18nPrefix}.outputVars.json`)}
             />
+            {outputSchema.map(outputItem => (
+              <VarItem
+                key={outputItem.name}
+                name={outputItem.name}
+                type={outputItem.type}
+                description={outputItem.description}
+              />
+            ))}
           </>
         </OutputVars>
       </div>
@@ -157,9 +169,8 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({
           runningStatus={runningStatus}
           onRun={handleRun}
           onStop={handleStop}
-          retryDetails={retryDetails}
-          onRetryDetailBack={handleRetryDetailsChange}
-          result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />}
+          {...logsParams}
+          result={<ResultPanel {...runResult} showSteps={false} {...logsParams} nodeInfo={nodeInfo} />}
         />
       )}
     </div>
diff --git a/web/app/components/workflow/nodes/tool/types.ts b/web/app/components/workflow/nodes/tool/types.ts
index 1ed6f9c373..4fbd945710 100644
--- a/web/app/components/workflow/nodes/tool/types.ts
+++ b/web/app/components/workflow/nodes/tool/types.ts
@@ -9,7 +9,7 @@ export enum VarType {
 
 export type ToolVarInputs = Record<string, {
   type: VarType
-  value?: string | ValueSelector
+  value?: string | ValueSelector | any
 }>
 
 export type ToolNodeType = CommonNodeType & {
@@ -20,4 +20,5 @@ export type ToolNodeType = CommonNodeType & {
   tool_label: string
   tool_parameters: ToolVarInputs
   tool_configurations: Record<string, any>
+  output_schema: Record<string, any>
 }
diff --git a/web/app/components/workflow/nodes/tool/use-config.ts b/web/app/components/workflow/nodes/tool/use-config.ts
index 94046ba4fa..acc20ec7ea 100644
--- a/web/app/components/workflow/nodes/tool/use-config.ts
+++ b/web/app/components/workflow/nodes/tool/use-config.ts
@@ -29,8 +29,9 @@ const useConfig = (id: string, payload: ToolNodeType) => {
   /*
   * tool_configurations: tool setting, not dynamic setting
   * tool_parameters: tool dynamic setting(by user)
+  * output_schema: tool dynamic output
   */
-  const { provider_id, provider_type, tool_name, tool_configurations } = inputs
+  const { provider_id, provider_type, tool_name, tool_configurations, output_schema } = inputs
   const isBuiltIn = provider_type === CollectionType.builtIn
   const buildInTools = useStore(s => s.buildInTools)
   const customTools = useStore(s => s.customTools)
@@ -91,7 +92,7 @@ const useConfig = (id: string, payload: ToolNodeType) => {
         const value = newConfig[key]
         if (schema?.type === 'boolean') {
           if (typeof value === 'string')
-            newConfig[key] = parseInt(value, 10)
+            newConfig[key] = Number.parseInt(value, 10)
 
           if (typeof value === 'boolean')
             newConfig[key] = value ? 1 : 0
@@ -99,7 +100,7 @@ const useConfig = (id: string, payload: ToolNodeType) => {
 
         if (schema?.type === 'number-input') {
           if (typeof value === 'string' && value !== '')
-            newConfig[key] = parseFloat(value)
+            newConfig[key] = Number.parseFloat(value)
         }
       })
       draft.tool_configurations = newConfig
@@ -162,7 +163,7 @@ const useConfig = (id: string, payload: ToolNodeType) => {
   const [inputVarValues, doSetInputVarValues] = useState<Record<string, any>>({})
   const setInputVarValues = (value: Record<string, any>) => {
     doSetInputVarValues(value)
-    // eslint-disable-next-line @typescript-eslint/no-use-before-define
+    // eslint-disable-next-line ts/no-use-before-define
     setRunInputData(value)
   }
   // fill single run form variable with constant value first time
@@ -254,6 +255,23 @@ const useConfig = (id: string, payload: ToolNodeType) => {
     doHandleRun(addMissedVarData)
   }
 
+  const outputSchema = useMemo(() => {
+    const res: any[] = []
+    if (!output_schema)
+      return []
+    Object.keys(output_schema.properties).forEach((outputKey) => {
+      const output = output_schema.properties[outputKey]
+      res.push({
+        name: outputKey,
+        type: output.type === 'array'
+          ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]`
+          : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`,
+        description: output.description,
+      })
+    })
+    return res
+  }, [output_schema])
+
   return {
     readOnly,
     inputs,
@@ -282,6 +300,7 @@ const useConfig = (id: string, payload: ToolNodeType) => {
     handleRun,
     handleStop,
     runResult,
+    outputSchema,
   }
 }
 
diff --git a/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx b/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx
index eb5a8f8e51..e18327a472 100644
--- a/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx
+++ b/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx
@@ -24,7 +24,7 @@ type Payload = VarGroupItemType & {
   group_name?: string
 }
 
-type Props = {
+interface Props {
   readOnly: boolean
   nodeId: string
   payload: Payload
diff --git a/web/app/components/workflow/nodes/variable-assigner/panel.tsx b/web/app/components/workflow/nodes/variable-assigner/panel.tsx
index 6152e0f5b8..b25e2656ed 100644
--- a/web/app/components/workflow/nodes/variable-assigner/panel.tsx
+++ b/web/app/components/workflow/nodes/variable-assigner/panel.tsx
@@ -7,7 +7,7 @@ import useConfig from './use-config'
 import type { VariableAssignerNodeType } from './types'
 import VarGroupItem from './components/var-group-item'
 import cn from '@/utils/classnames'
-import { type NodePanelProps } from '@/app/components/workflow/types'
+import type { NodePanelProps } from '@/app/components/workflow/types'
 import Split from '@/app/components/workflow/nodes/_base/components/split'
 import OutputVars, { VarItem } from '@/app/components/workflow/nodes/_base/components/output-vars'
 import Switch from '@/app/components/base/switch'
diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx
index 8206f02049..b2bfd2a218 100644
--- a/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx
+++ b/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx
@@ -8,7 +8,7 @@ import RemoveButton from '@/app/components/workflow/nodes/_base/components/remov
 import Button from '@/app/components/base/button'
 import Input from '@/app/components/base/input'
 
-type Props = {
+interface Props {
   isString: boolean
   list: any[]
   onChange: (list: any[]) => void
diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx
index baa42eef24..3c983cd364 100644
--- a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx
+++ b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx
@@ -18,13 +18,13 @@ import { ChatVarType } from '@/app/components/workflow/panel/chat-variable-panel
 import cn from '@/utils/classnames'
 import { checkKeys } from '@/utils/var'
 
-export type ModalPropsType = {
+export interface ModalPropsType {
   chatVar?: ConversationVariable
   onClose: () => void
   onSave: (chatVar: ConversationVariable) => void
 }
 
-type ObjectValueItem = {
+interface ObjectValueItem {
   key: string
   type: ChatVarType
   value: string | number | undefined
diff --git a/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx b/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx
index 5991414baf..e60c8afac9 100644
--- a/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx
+++ b/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx
@@ -22,7 +22,7 @@ import useTimestamp from '@/hooks/use-timestamp'
 import { fetchCurrentValueOfConversationVariable } from '@/service/workflow'
 import cn from '@/utils/classnames'
 
-export type Props = {
+export interface Props {
   conversationID: string
   onHide: () => void
 }
diff --git a/web/app/components/workflow/panel/debug-and-preview/hooks.ts b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
index a730d0a198..9079f9e534 100644
--- a/web/app/components/workflow/panel/debug-and-preview/hooks.ts
+++ b/web/app/components/workflow/panel/debug-and-preview/hooks.ts
@@ -30,7 +30,6 @@ import {
 } from '@/app/components/base/file-uploader/utils'
 import type { FileEntity } from '@/app/components/base/file-uploader/types'
 import { getThreadMessages } from '@/app/components/base/chat/utils'
-import type { NodeTracing } from '@/types/workflow'
 
 type GetAbortController = (abortController: AbortController) => void
 type SendCallback = {
@@ -308,6 +307,7 @@ export const useChat = (
               )
               setSuggestQuestions(data)
             }
+            // eslint-disable-next-line unused-imports/no-unused-vars
             catch (error) {
               setSuggestQuestions([])
             }
@@ -358,21 +358,7 @@ export const useChat = (
           responseItem.workflowProcess!.tracing!.push({
             ...data,
             status: NodeRunningStatus.Running,
-            details: [],
-          } as any)
-          updateCurrentQAOnTree({
-            placeholderQuestionId,
-            questionItem,
-            responseItem,
-            parentId: params.parent_message_id,
           })
-        },
-        onIterationNext: ({ data }) => {
-          const tracing = responseItem.workflowProcess!.tracing!
-          const iterations = tracing.find(item => item.node_id === data.node_id
-            && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))!
-          iterations.details!.push([])
-
           updateCurrentQAOnTree({
             placeholderQuestionId,
             questionItem,
@@ -381,20 +367,19 @@ export const useChat = (
           })
         },
         onIterationFinish: ({ data }) => {
-          const tracing = responseItem.workflowProcess!.tracing!
-          const iterationsIndex = tracing.findIndex(item => item.node_id === data.node_id
-            && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))!
-          tracing[iterationsIndex] = {
-            ...tracing[iterationsIndex],
-            ...data,
-            status: NodeRunningStatus.Succeeded,
-          } as any
-          updateCurrentQAOnTree({
-            placeholderQuestionId,
-            questionItem,
-            responseItem,
-            parentId: params.parent_message_id,
-          })
+          const currentTracingIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.id === data.id)
+          if (currentTracingIndex > -1) {
+            responseItem.workflowProcess!.tracing[currentTracingIndex] = {
+              ...responseItem.workflowProcess!.tracing[currentTracingIndex],
+              ...data,
+            }
+            updateCurrentQAOnTree({
+              placeholderQuestionId,
+              questionItem,
+              responseItem,
+              parentId: params.parent_message_id,
+            })
+          }
         },
         onNodeStarted: ({ data }) => {
           if (data.iteration_id)
@@ -415,15 +400,7 @@ export const useChat = (
           if (data.iteration_id)
             return
 
-          const currentIndex = responseItem.workflowProcess!.tracing!.findIndex((item) => {
-            if (!item.execution_metadata?.parallel_id)
-              return item.node_id === data.node_id
-            return item.node_id === data.node_id && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id)
-          })
-          if (responseItem.workflowProcess!.tracing[currentIndex].retryDetail)
-            responseItem.workflowProcess!.tracing[currentIndex].retryDetail?.push(data as NodeTracing)
-          else
-            responseItem.workflowProcess!.tracing[currentIndex].retryDetail = [data as NodeTracing]
+          responseItem.workflowProcess!.tracing!.push(data)
 
           updateCurrentQAOnTree({
             placeholderQuestionId,
@@ -436,26 +413,59 @@ export const useChat = (
           if (data.iteration_id)
             return
 
-          const currentIndex = responseItem.workflowProcess!.tracing!.findIndex((item) => {
-            if (!item.execution_metadata?.parallel_id)
-              return item.node_id === data.node_id
-            return item.node_id === data.node_id && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id)
-          })
-          responseItem.workflowProcess!.tracing[currentIndex] = {
-            ...(responseItem.workflowProcess!.tracing[currentIndex]?.extras
-              ? { extras: responseItem.workflowProcess!.tracing[currentIndex].extras }
-              : {}),
-            ...(responseItem.workflowProcess!.tracing[currentIndex]?.retryDetail
-              ? { retryDetail: responseItem.workflowProcess!.tracing[currentIndex].retryDetail }
-              : {}),
-            ...data,
-          } as any
-          updateCurrentQAOnTree({
-            placeholderQuestionId,
-            questionItem,
-            responseItem,
-            parentId: params.parent_message_id,
-          })
+          const currentTracingIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.id === data.id)
+          if (currentTracingIndex > -1) {
+            responseItem.workflowProcess!.tracing[currentTracingIndex] = {
+              ...responseItem.workflowProcess!.tracing[currentTracingIndex],
+              ...data,
+            }
+            updateCurrentQAOnTree({
+              placeholderQuestionId,
+              questionItem,
+              responseItem,
+              parentId: params.parent_message_id,
+            })
+          }
+        },
+        onAgentLog: ({ data }) => {
+          const currentNodeIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.node_id === data.node_id)
+          if (currentNodeIndex > -1) {
+            const current = responseItem.workflowProcess!.tracing![currentNodeIndex]
+
+            if (current.execution_metadata) {
+              if (current.execution_metadata.agent_log) {
+                const currentLogIndex = current.execution_metadata.agent_log.findIndex(log => log.id === data.id)
+                if (currentLogIndex > -1) {
+                  current.execution_metadata.agent_log[currentLogIndex] = {
+                    ...current.execution_metadata.agent_log[currentLogIndex],
+                    ...data,
+                  }
+                }
+                else {
+                  current.execution_metadata.agent_log.push(data)
+                }
+              }
+              else {
+                current.execution_metadata.agent_log = [data]
+              }
+            }
+            else {
+              current.execution_metadata = {
+                agent_log: [data],
+              } as any
+            }
+
+            responseItem.workflowProcess!.tracing[currentNodeIndex] = {
+              ...current,
+            }
+
+            updateCurrentQAOnTree({
+              placeholderQuestionId,
+              questionItem,
+              responseItem,
+              parentId: params.parent_message_id,
+            })
+          }
         },
       },
     )
diff --git a/web/app/components/workflow/panel/env-panel/variable-modal.tsx b/web/app/components/workflow/panel/env-panel/variable-modal.tsx
index feabd5a422..da59670a5b 100644
--- a/web/app/components/workflow/panel/env-panel/variable-modal.tsx
+++ b/web/app/components/workflow/panel/env-panel/variable-modal.tsx
@@ -12,7 +12,7 @@ import type { EnvironmentVariable } from '@/app/components/workflow/types'
 import cn from '@/utils/classnames'
 import { checkKeys } from '@/utils/var'
 
-export type ModalPropsType = {
+export interface ModalPropsType {
   env?: EnvironmentVariable
   onClose: () => void
   onSave: (env: EnvironmentVariable) => void
diff --git a/web/app/components/workflow/panel/inputs-panel.tsx b/web/app/components/workflow/panel/inputs-panel.tsx
index 47fec40e60..d7d7f7c5cc 100644
--- a/web/app/components/workflow/panel/inputs-panel.tsx
+++ b/web/app/components/workflow/panel/inputs-panel.tsx
@@ -25,7 +25,7 @@ import {
 } from '@/app/components/base/chat/chat/utils'
 import { useCheckInputsForms } from '@/app/components/base/chat/chat/check-input-forms-hooks'
 
-type Props = {
+interface Props {
   onRun: () => void
 }
 
diff --git a/web/app/components/workflow/panel/workflow-preview.tsx b/web/app/components/workflow/panel/workflow-preview.tsx
index 210a95f1f8..b4e4d4c5d1 100644
--- a/web/app/components/workflow/panel/workflow-preview.tsx
+++ b/web/app/components/workflow/panel/workflow-preview.tsx
@@ -1,8 +1,6 @@
 import {
   memo,
-  useCallback,
   useEffect,
-  // useRef,
   useState,
 } from 'react'
 import {
@@ -11,7 +9,6 @@ import {
 } from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
 import copy from 'copy-to-clipboard'
-import { useBoolean } from 'ahooks'
 import ResultText from '../run/result-text'
 import ResultPanel from '../run/result-panel'
 import TracingPanel from '../run/tracing-panel'
@@ -24,12 +21,9 @@ import {
 } from '../types'
 import { SimpleBtn } from '../../app/text-generate/item'
 import Toast from '../../base/toast'
-import IterationResultPanel from '../run/iteration-result-panel'
-import RetryResultPanel from '../run/retry-result-panel'
 import InputsPanel from './inputs-panel'
 import cn from '@/utils/classnames'
 import Loading from '@/app/components/base/loading'
-import type { IterationDurationMap, NodeTracing } from '@/types/workflow'
 
 const WorkflowPreview = () => {
   const { t } = useTranslation()
@@ -53,44 +47,6 @@ const WorkflowPreview = () => {
       switchTab('DETAIL')
   }, [workflowRunningData])
 
-  const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([])
-  const [retryRunResult, setRetryRunResult] = useState<NodeTracing[]>([])
-  const [iterDurationMap, setIterDurationMap] = useState<IterationDurationMap>({})
-  const [isShowIterationDetail, {
-    setTrue: doShowIterationDetail,
-    setFalse: doHideIterationDetail,
-  }] = useBoolean(false)
-  const [isShowRetryDetail, {
-    setTrue: doShowRetryDetail,
-    setFalse: doHideRetryDetail,
-  }] = useBoolean(false)
-
-  const handleShowIterationDetail = useCallback((detail: NodeTracing[][], iterationDurationMap: IterationDurationMap) => {
-    setIterDurationMap(iterationDurationMap)
-    setIterationRunResult(detail)
-    doShowIterationDetail()
-  }, [doShowIterationDetail])
-
-  const handleRetryDetail = useCallback((detail: NodeTracing[]) => {
-    setRetryRunResult(detail)
-    doShowRetryDetail()
-  }, [doShowRetryDetail])
-
-  if (isShowIterationDetail) {
-    return (
-      <div className={`
-      flex flex-col w-[420px] h-full rounded-l-2xl border-[0.5px] border-gray-200 shadow-xl bg-white
-    `}>
-        <IterationResultPanel
-          list={iterationRunResult}
-          onHide={doHideIterationDetail}
-          onBack={doHideIterationDetail}
-          iterDurationMap={iterDurationMap}
-        />
-      </div>
-    )
-  }
-
   return (
     <div className={`
       flex flex-col w-[420px] h-full rounded-l-2xl border-[0.5px] border-gray-200 shadow-xl bg-white
@@ -102,141 +58,117 @@ const WorkflowPreview = () => {
         </div>
       </div>
       <div className='grow relative flex flex-col'>
-        {isShowIterationDetail
-          ? (
-            <IterationResultPanel
-              list={iterationRunResult}
-              onHide={doHideIterationDetail}
-              onBack={doHideIterationDetail}
-              iterDurationMap={iterDurationMap}
-            />
-          )
-          : (
+        <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'>
+          {showInputsPanel && (
+            <div
+              className={cn(
+                'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
+                currentTab === 'INPUT' && '!border-[rgb(21,94,239)] text-gray-700',
+              )}
+              onClick={() => switchTab('INPUT')}
+            >{t('runLog.input')}</div>
+          )}
+          <div
+            className={cn(
+              'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
+              currentTab === 'RESULT' && '!border-[rgb(21,94,239)] text-gray-700',
+              !workflowRunningData && 'opacity-30 !cursor-not-allowed',
+            )}
+            onClick={() => {
+              if (!workflowRunningData)
+                return
+              switchTab('RESULT')
+            }}
+          >{t('runLog.result')}</div>
+          <div
+            className={cn(
+              'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
+              currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700',
+              !workflowRunningData && 'opacity-30 !cursor-not-allowed',
+            )}
+            onClick={() => {
+              if (!workflowRunningData)
+                return
+              switchTab('DETAIL')
+            }}
+          >{t('runLog.detail')}</div>
+          <div
+            className={cn(
+              'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
+              currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700',
+              !workflowRunningData && 'opacity-30 !cursor-not-allowed',
+            )}
+            onClick={() => {
+              if (!workflowRunningData)
+                return
+              switchTab('TRACING')
+            }}
+          >{t('runLog.tracing')}</div>
+        </div>
+        <div className={cn(
+          'grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl',
+          (currentTab === 'RESULT' || currentTab === 'TRACING') && '!bg-background-section-burn',
+        )}>
+          {currentTab === 'INPUT' && showInputsPanel && (
+            <InputsPanel onRun={() => switchTab('RESULT')} />
+          )}
+          {currentTab === 'RESULT' && (
             <>
-              <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'>
-                {showInputsPanel && (
-                  <div
-                    className={cn(
-                      'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-                      currentTab === 'INPUT' && '!border-[rgb(21,94,239)] text-gray-700',
-                    )}
-                    onClick={() => switchTab('INPUT')}
-                  >{t('runLog.input')}</div>
-                )}
-                <div
-                  className={cn(
-                    'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-                    currentTab === 'RESULT' && '!border-[rgb(21,94,239)] text-gray-700',
-                    !workflowRunningData && 'opacity-30 !cursor-not-allowed',
-                  )}
+              <ResultText
+                isRunning={workflowRunningData?.result?.status === WorkflowRunningStatus.Running || !workflowRunningData?.result}
+                outputs={workflowRunningData?.resultText}
+                allFiles={workflowRunningData?.result?.files as any}
+                error={workflowRunningData?.result?.error}
+                onClick={() => switchTab('DETAIL')}
+              />
+              {(workflowRunningData?.result.status === WorkflowRunningStatus.Succeeded && workflowRunningData?.resultText && typeof workflowRunningData?.resultText === 'string') && (
+                <SimpleBtn
+                  className={cn('ml-4 mb-4 inline-flex space-x-1')}
                   onClick={() => {
-                    if (!workflowRunningData)
-                      return
-                    switchTab('RESULT')
-                  }}
-                >{t('runLog.result')}</div>
-                <div
-                  className={cn(
-                    'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-                    currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700',
-                    !workflowRunningData && 'opacity-30 !cursor-not-allowed',
-                  )}
-                  onClick={() => {
-                    if (!workflowRunningData)
-                      return
-                    switchTab('DETAIL')
-                  }}
-                >{t('runLog.detail')}</div>
-                <div
-                  className={cn(
-                    'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer',
-                    currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700',
-                    !workflowRunningData && 'opacity-30 !cursor-not-allowed',
-                  )}
-                  onClick={() => {
-                    if (!workflowRunningData)
-                      return
-                    switchTab('TRACING')
-                  }}
-                >{t('runLog.tracing')}</div>
-              </div>
-              <div className={cn(
-                'grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl',
-                (currentTab === 'RESULT' || currentTab === 'TRACING') && '!bg-background-section-burn',
-              )}>
-                {currentTab === 'INPUT' && showInputsPanel && (
-                  <InputsPanel onRun={() => switchTab('RESULT')} />
-                )}
-                {currentTab === 'RESULT' && (
-                  <>
-                    <ResultText
-                      isRunning={workflowRunningData?.result?.status === WorkflowRunningStatus.Running || !workflowRunningData?.result}
-                      outputs={workflowRunningData?.resultText}
-                      allFiles={workflowRunningData?.result?.files as any}
-                      error={workflowRunningData?.result?.error}
-                      onClick={() => switchTab('DETAIL')}
-                    />
-                    {(workflowRunningData?.result.status === WorkflowRunningStatus.Succeeded && workflowRunningData?.resultText && typeof workflowRunningData?.resultText === 'string') && (
-                      <SimpleBtn
-                        className={cn('ml-4 mb-4 inline-flex space-x-1')}
-                        onClick={() => {
-                          const content = workflowRunningData?.resultText
-                          if (typeof content === 'string')
-                            copy(content)
-                          else
-                            copy(JSON.stringify(content))
-                          Toast.notify({ type: 'success', message: t('common.actionMsg.copySuccessfully') })
-                        }}>
-                        <RiClipboardLine className='w-3.5 h-3.5' />
-                        <div>{t('common.operation.copy')}</div>
-                      </SimpleBtn>
-                    )}
-                  </>
-                )}
-                {currentTab === 'DETAIL' && (
-                  <ResultPanel
-                    inputs={workflowRunningData?.result?.inputs}
-                    outputs={workflowRunningData?.result?.outputs}
-                    status={workflowRunningData?.result?.status || ''}
-                    error={workflowRunningData?.result?.error}
-                    elapsed_time={workflowRunningData?.result?.elapsed_time}
-                    total_tokens={workflowRunningData?.result?.total_tokens}
-                    created_at={workflowRunningData?.result?.created_at}
-                    created_by={(workflowRunningData?.result?.created_by as any)?.name}
-                    steps={workflowRunningData?.result?.total_steps}
-                    exceptionCounts={workflowRunningData?.result?.exceptions_count}
-                  />
-                )}
-                {currentTab === 'DETAIL' && !workflowRunningData?.result && (
-                  <div className='flex h-full items-center justify-center bg-components-panel-bg'>
-                    <Loading />
-                  </div>
-                )}
-                {currentTab === 'TRACING' && !isShowRetryDetail && (
-                  <TracingPanel
-                    className='bg-background-section-burn'
-                    list={workflowRunningData?.tracing || []}
-                    onShowIterationDetail={handleShowIterationDetail}
-                    onShowRetryDetail={handleRetryDetail}
-                  />
-                )}
-                {currentTab === 'TRACING' && !workflowRunningData?.tracing?.length && (
-                  <div className='flex h-full items-center justify-center !bg-background-section-burn'>
-                    <Loading />
-                  </div>
-                )}
-                {
-                  currentTab === 'TRACING' && isShowRetryDetail && (
-                    <RetryResultPanel
-                      list={retryRunResult}
-                      onBack={doHideRetryDetail}
-                    />
-                  )
-                }
-              </div>
+                    const content = workflowRunningData?.resultText
+                    if (typeof content === 'string')
+                      copy(content)
+                    else
+                      copy(JSON.stringify(content))
+                    Toast.notify({ type: 'success', message: t('common.actionMsg.copySuccessfully') })
+                  }}>
+                  <RiClipboardLine className='w-3.5 h-3.5' />
+                  <div>{t('common.operation.copy')}</div>
+                </SimpleBtn>
+              )}
             </>
           )}
-
+          {currentTab === 'DETAIL' && (
+            <ResultPanel
+              inputs={workflowRunningData?.result?.inputs}
+              outputs={workflowRunningData?.result?.outputs}
+              status={workflowRunningData?.result?.status || ''}
+              error={workflowRunningData?.result?.error}
+              elapsed_time={workflowRunningData?.result?.elapsed_time}
+              total_tokens={workflowRunningData?.result?.total_tokens}
+              created_at={workflowRunningData?.result?.created_at}
+              created_by={(workflowRunningData?.result?.created_by as any)?.name}
+              steps={workflowRunningData?.result?.total_steps}
+              exceptionCounts={workflowRunningData?.result?.exceptions_count}
+            />
+          )}
+          {currentTab === 'DETAIL' && !workflowRunningData?.result && (
+            <div className='flex h-full items-center justify-center bg-components-panel-bg'>
+              <Loading />
+            </div>
+          )}
+          {currentTab === 'TRACING' && (
+            <TracingPanel
+              className='bg-background-section-burn'
+              list={workflowRunningData?.tracing || []}
+            />
+          )}
+          {currentTab === 'TRACING' && !workflowRunningData?.tracing?.length && (
+            <div className='flex h-full items-center justify-center !bg-background-section-burn'>
+              <Loading />
+            </div>
+          )}
+        </div>
       </div>
     </div>
   )
diff --git a/web/app/components/workflow/plugin-dependency/hooks.ts b/web/app/components/workflow/plugin-dependency/hooks.ts
new file mode 100644
index 0000000000..1aa52cf028
--- /dev/null
+++ b/web/app/components/workflow/plugin-dependency/hooks.ts
@@ -0,0 +1,17 @@
+import { useCallback } from 'react'
+import { useStore as usePluginDependenciesStore } from './store'
+import { useMutationCheckDependencies } from '@/service/use-plugins'
+
+export const usePluginDependencies = () => {
+  const { mutateAsync } = useMutationCheckDependencies()
+
+  const handleCheckPluginDependencies = useCallback(async (appId: string) => {
+    const { leaked_dependencies } = await mutateAsync(appId)
+    const { setDependencies } = usePluginDependenciesStore.getState()
+    setDependencies(leaked_dependencies)
+  }, [mutateAsync])
+
+  return {
+    handleCheckPluginDependencies,
+  }
+}
diff --git a/web/app/components/workflow/plugin-dependency/index.tsx b/web/app/components/workflow/plugin-dependency/index.tsx
new file mode 100644
index 0000000000..185722e1b7
--- /dev/null
+++ b/web/app/components/workflow/plugin-dependency/index.tsx
@@ -0,0 +1,24 @@
+import { useCallback } from 'react'
+import { useStore } from './store'
+import InstallBundle from '@/app/components/plugins/install-plugin/install-bundle'
+
+const PluginDependency = () => {
+  const dependencies = useStore(s => s.dependencies)
+
+  const handleCancelInstallBundle = useCallback(() => {
+    const { setDependencies } = useStore.getState()
+    setDependencies([])
+  }, [])
+
+  if (!dependencies.length)
+    return null
+
+  return (
+    <InstallBundle
+      fromDSLPayload={dependencies}
+      onClose={handleCancelInstallBundle}
+    />
+  )
+}
+
+export default PluginDependency
diff --git a/web/app/components/workflow/plugin-dependency/store.ts b/web/app/components/workflow/plugin-dependency/store.ts
new file mode 100644
index 0000000000..a8e1d8171a
--- /dev/null
+++ b/web/app/components/workflow/plugin-dependency/store.ts
@@ -0,0 +1,11 @@
+import { create } from 'zustand'
+import type { Dependency } from '@/app/components/plugins/types'
+
+type Shape = {
+  dependencies: Dependency[]
+  setDependencies: (dependencies: Dependency[]) => void
+}
+export const useStore = create<Shape>(set => ({
+  dependencies: [],
+  setDependencies: dependencies => set({ dependencies }),
+}))
diff --git a/web/app/components/workflow/run/agent-log/agent-log-item.tsx b/web/app/components/workflow/run/agent-log/agent-log-item.tsx
new file mode 100644
index 0000000000..0b84827500
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/agent-log-item.tsx
@@ -0,0 +1,126 @@
+import {
+  useMemo,
+  useState,
+} from 'react'
+import {
+  RiArrowRightSLine,
+  RiListView,
+} from '@remixicon/react'
+import cn from '@/utils/classnames'
+import Button from '@/app/components/base/button'
+import type { AgentLogItemWithChildren } from '@/types/workflow'
+import NodeStatusIcon from '@/app/components/workflow/nodes/_base/components/node-status-icon'
+import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor'
+import { CodeLanguage } from '@/app/components/workflow/nodes/code/types'
+import BlockIcon from '@/app/components/workflow/block-icon'
+import { BlockEnum } from '@/app/components/workflow/types'
+import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon'
+
+type AgentLogItemProps = {
+  item: AgentLogItemWithChildren
+  onShowAgentOrToolLog: (detail: AgentLogItemWithChildren) => void
+}
+const AgentLogItem = ({
+  item,
+  onShowAgentOrToolLog,
+}: AgentLogItemProps) => {
+  const {
+    label,
+    status,
+    children,
+    data,
+    metadata,
+  } = item
+  const [expanded, setExpanded] = useState(false)
+  const { getIconUrl } = useGetIcon()
+  const toolIcon = useMemo(() => {
+    const icon = metadata?.icon
+
+    if (icon) {
+      if (icon.includes('http'))
+        return icon
+
+      return getIconUrl(icon)
+    }
+
+    return ''
+  }, [getIconUrl, metadata?.icon])
+
+  const mergeStatus = useMemo(() => {
+    if (status === 'start')
+      return 'running'
+
+    return status
+  }, [status])
+
+  return (
+    <div className='bg-background-default border-[0.5px] border-components-panel-border rounded-[10px]'>
+      <div
+        className={cn(
+          'flex items-center pl-1.5 pt-2 pr-3 pb-2 cursor-pointer',
+          expanded && 'pb-1',
+        )}
+        onClick={() => setExpanded(!expanded)}
+      >
+        {
+          expanded
+            ? <RiArrowRightSLine className='shrink-0 w-4 h-4 rotate-90 text-text-quaternary' />
+            : <RiArrowRightSLine className='shrink-0 w-4 h-4 text-text-quaternary' />
+        }
+        <BlockIcon
+          className='shrink-0 mr-1.5'
+          type={toolIcon ? BlockEnum.Tool : BlockEnum.Agent}
+          toolIcon={toolIcon}
+        />
+        <div
+          className='grow system-sm-semibold-uppercase text-text-secondary truncate'
+          title={label}
+        >
+          {label}
+        </div>
+        {
+          metadata?.elapsed_time && (
+            <div className='shrink-0 mr-2 system-xs-regular text-text-tertiary'>{metadata?.elapsed_time?.toFixed(3)}s</div>
+          )
+        }
+        <NodeStatusIcon status={mergeStatus} />
+      </div>
+      {
+        expanded && (
+          <div className='p-1 pt-0'>
+            {
+              !!children?.length && (
+                <Button
+                  className='flex items-center justify-between mb-1 w-full'
+                  variant='tertiary'
+                  onClick={() => onShowAgentOrToolLog(item)}
+                >
+                  <div className='flex items-center'>
+                    <RiListView className='mr-1 w-4 h-4 text-components-button-tertiary-text shrink-0' />
+                    {`${children.length} Action Logs`}
+                  </div>
+                  <div className='flex'>
+                    <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' />
+                  </div>
+                </Button>
+              )
+            }
+            {
+              data && (
+                <CodeEditor
+                  readOnly
+                  title={<div>{'data'.toLocaleUpperCase()}</div>}
+                  language={CodeLanguage.json}
+                  value={data}
+                  isJSONStringifyBeauty
+                />
+              )
+            }
+          </div>
+        )
+      }
+    </div>
+  )
+}
+
+export default AgentLogItem
diff --git a/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx b/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx
new file mode 100644
index 0000000000..f965a86f31
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx
@@ -0,0 +1,61 @@
+import { useState } from 'react'
+import { RiMoreLine } from '@remixicon/react'
+import {
+  PortalToFollowElem,
+  PortalToFollowElemContent,
+  PortalToFollowElemTrigger,
+} from '@/app/components/base/portal-to-follow-elem'
+import Button from '@/app/components/base/button'
+import type { AgentLogItemWithChildren } from '@/types/workflow'
+
+type AgentLogNavMoreProps = {
+  options: { id: string; label: string }[]
+  onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void
+}
+const AgentLogNavMore = ({
+  options,
+  onShowAgentOrToolLog,
+}: AgentLogNavMoreProps) => {
+  const [open, setOpen] = useState(false)
+
+  return (
+    <PortalToFollowElem
+      placement='bottom-start'
+      offset={{
+        mainAxis: 2,
+        crossAxis: -54,
+      }}
+      open={open}
+      onOpenChange={setOpen}
+    >
+      <PortalToFollowElemTrigger>
+        <Button
+          className='w-6 h-6'
+          variant='ghost-accent'
+        >
+          <RiMoreLine className='w-4 h-4' />
+        </Button>
+      </PortalToFollowElemTrigger>
+      <PortalToFollowElemContent>
+        <div className='p-1 w-[136px] bg-components-panel-bg-blur border-[0.5px] border-components-panel-border rounded-xl shadow-lg'>
+          {
+            options.map(option => (
+              <div
+                key={option.id}
+                className='flex items-center px-2 h-8 rounded-lg system-md-regular text-text-secondary hover:bg-state-base-hover cursor-pointer'
+                onClick={() => {
+                  onShowAgentOrToolLog(option as AgentLogItemWithChildren)
+                  setOpen(false)
+                }}
+              >
+                {option.label}
+              </div>
+            ))
+          }
+        </div>
+      </PortalToFollowElemContent>
+    </PortalToFollowElem>
+  )
+}
+
+export default AgentLogNavMore
diff --git a/web/app/components/workflow/run/agent-log/agent-log-nav.tsx b/web/app/components/workflow/run/agent-log/agent-log-nav.tsx
new file mode 100644
index 0000000000..ccfc6da8cf
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/agent-log-nav.tsx
@@ -0,0 +1,78 @@
+import { RiArrowLeftLine } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import AgentLogNavMore from './agent-log-nav-more'
+import Button from '@/app/components/base/button'
+import type { AgentLogItemWithChildren } from '@/types/workflow'
+
+type AgentLogNavProps = {
+  agentOrToolLogItemStack: AgentLogItemWithChildren[]
+  onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void
+}
+const AgentLogNav = ({
+  agentOrToolLogItemStack,
+  onShowAgentOrToolLog,
+}: AgentLogNavProps) => {
+  const { t } = useTranslation()
+  const agentOrToolLogItemStackLength = agentOrToolLogItemStack.length
+  const first = agentOrToolLogItemStack[0]
+  const mid = agentOrToolLogItemStack.slice(1, -1)
+  const end = agentOrToolLogItemStack.at(-1)
+
+  return (
+    <div className='flex items-center p-1 pr-3 h-8 bg-components-panel-bg'>
+      <Button
+        className='shrink-0 px-[5px]'
+        size='small'
+        variant='ghost-accent'
+        onClick={() => {
+          onShowAgentOrToolLog()
+        }}
+      >
+        <RiArrowLeftLine className='mr-1 w-3.5 h-3.5' />
+        AGENT
+      </Button>
+      <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div>
+      {
+        agentOrToolLogItemStackLength > 1
+          ? (
+            <Button
+              className='shrink-0 px-[5px]'
+              size='small'
+              variant='ghost-accent'
+              onClick={() => onShowAgentOrToolLog(first)}
+            >
+              {t('workflow.nodes.agent.strategy.label')}
+            </Button>
+          )
+          : (
+            <div className='flex items-center px-[5px] system-xs-medium-uppercase text-text-tertiary'>
+              {t('workflow.nodes.agent.strategy.label')}
+            </div>
+          )
+      }
+      {
+        !!mid.length && (
+          <>
+            <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div>
+            <AgentLogNavMore
+              options={mid}
+              onShowAgentOrToolLog={onShowAgentOrToolLog}
+            />
+          </>
+        )
+      }
+      {
+        !!end && agentOrToolLogItemStackLength > 1 && (
+          <>
+            <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div>
+            <div className='flex items-center px-[5px] system-xs-medium-uppercase text-text-tertiary'>
+              {end.label}
+            </div>
+          </>
+        )
+      }
+    </div>
+  )
+}
+
+export default AgentLogNav
diff --git a/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx b/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx
new file mode 100644
index 0000000000..86418a1c69
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx
@@ -0,0 +1,49 @@
+import { RiArrowRightLine } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import type {
+  AgentLogItemWithChildren,
+  NodeTracing,
+} from '@/types/workflow'
+
+type AgentLogTriggerProps = {
+  nodeInfo: NodeTracing
+  onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void
+}
+const AgentLogTrigger = ({
+  nodeInfo,
+  onShowAgentOrToolLog,
+}: AgentLogTriggerProps) => {
+  const { t } = useTranslation()
+  const { agentLog, execution_metadata } = nodeInfo
+  const agentStrategy = execution_metadata?.tool_info?.agent_strategy
+
+  return (
+    <div
+      className='bg-components-button-tertiary-bg rounded-[10px] cursor-pointer'
+      onClick={() => {
+        onShowAgentOrToolLog({ id: nodeInfo.id, children: agentLog || [] } as AgentLogItemWithChildren)
+      }}
+    >
+      <div className='flex items-center px-3 pt-2 system-2xs-medium-uppercase text-text-tertiary'>
+        {t('workflow.nodes.agent.strategy.label')}
+      </div>
+      <div className='flex items-center pl-3 pt-1 pr-2 pb-1.5'>
+        {
+          agentStrategy && (
+            <div className='grow system-xs-medium text-text-secondary'>
+              {agentStrategy}
+            </div>
+          )
+        }
+        <div
+          className='shrink-0 flex items-center px-[1px] system-xs-regular-uppercase text-text-tertiary cursor-pointer'
+        >
+          {t('runLog.detail')}
+          <RiArrowRightLine className='ml-0.5 w-3.5 h-3.5' />
+        </div>
+      </div>
+    </div>
+  )
+}
+
+export default AgentLogTrigger
diff --git a/web/app/components/workflow/run/agent-log/agent-result-panel.tsx b/web/app/components/workflow/run/agent-log/agent-result-panel.tsx
new file mode 100644
index 0000000000..e2d2b24966
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/agent-result-panel.tsx
@@ -0,0 +1,60 @@
+import { RiAlertFill } from '@remixicon/react'
+import { useTranslation } from 'react-i18next'
+import AgentLogItem from './agent-log-item'
+import AgentLogNav from './agent-log-nav'
+import type { AgentLogItemWithChildren } from '@/types/workflow'
+
+type AgentResultPanelProps = {
+  agentOrToolLogItemStack: AgentLogItemWithChildren[]
+  agentOrToolLogListMap: Record<string, AgentLogItemWithChildren[]>
+  onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void
+}
+const AgentResultPanel = ({
+  agentOrToolLogItemStack,
+  agentOrToolLogListMap,
+  onShowAgentOrToolLog,
+}: AgentResultPanelProps) => {
+  const { t } = useTranslation()
+  const top = agentOrToolLogItemStack[agentOrToolLogItemStack.length - 1]
+  const list = agentOrToolLogListMap[top.id]
+
+  return (
+    <div className='bg-background-section overflow-y-auto'>
+      <AgentLogNav
+        agentOrToolLogItemStack={agentOrToolLogItemStack}
+        onShowAgentOrToolLog={onShowAgentOrToolLog}
+      />
+      {
+        <div className='p-2 space-y-1'>
+          {
+            list.map(item => (
+              <AgentLogItem
+                key={item.id}
+                item={item}
+                onShowAgentOrToolLog={onShowAgentOrToolLog}
+              />
+            ))
+          }
+        </div>
+      }
+      {
+        top.hasCircle && (
+          <div className='flex items-center mt-1 rounded-xl px-3 pr-2 border border-components-panel-border bg-components-panel-bg-blur shadow-md'>
+            <div
+              className='absolute inset-0 opacity-[0.4] rounded-xl'
+              style={{
+                background: 'linear-gradient(92deg, rgba(247, 144, 9, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%)',
+              }}
+            ></div>
+            <RiAlertFill className='mr-1.5 w-4 h-4 text-text-warning-secondary' />
+            <div className='system-xs-medium text-text-primary'>
+              {t('runLog.circularInvocationTip')}
+            </div>
+          </div>
+        )
+      }
+    </div>
+  )
+}
+
+export default AgentResultPanel
diff --git a/web/app/components/workflow/run/agent-log/index.tsx b/web/app/components/workflow/run/agent-log/index.tsx
new file mode 100644
index 0000000000..a39f5416bb
--- /dev/null
+++ b/web/app/components/workflow/run/agent-log/index.tsx
@@ -0,0 +1,2 @@
+export { default as AgentLogTrigger } from './agent-log-trigger'
+export { default as AgentResultPanel } from './agent-result-panel'
diff --git a/web/app/components/workflow/run/assets/highlight-dark.svg b/web/app/components/workflow/run/assets/highlight-dark.svg
new file mode 100644
index 0000000000..472da3db6e
--- /dev/null
+++ b/web/app/components/workflow/run/assets/highlight-dark.svg
@@ -0,0 +1,9 @@
+<svg width="237" height="50" viewBox="0 0 237 50" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path opacity="0.5" d="M0 8C0 3.58172 3.58172 0 8 0H237L215.033 50H8C3.58172 50 0 46.4183 0 42V8Z" fill="url(#paint0_linear_3552_29170)"/>
+<defs>
+<linearGradient id="paint0_linear_3552_29170" x1="-4.89158e-08" y1="4.62963" x2="168.013" y2="23.1752" gradientUnits="userSpaceOnUse">
+<stop stop-color="white" stop-opacity="0.03"/>
+<stop offset="1" stop-color="white" stop-opacity="0.05"/>
+</linearGradient>
+</defs>
+</svg>
diff --git a/web/app/components/workflow/run/hooks.ts b/web/app/components/workflow/run/hooks.ts
new file mode 100644
index 0000000000..55ddc4cbfc
--- /dev/null
+++ b/web/app/components/workflow/run/hooks.ts
@@ -0,0 +1,88 @@
+import {
+  useCallback,
+  useRef,
+  useState,
+} from 'react'
+import { useBoolean } from 'ahooks'
+import type {
+  AgentLogItemWithChildren,
+  IterationDurationMap,
+  NodeTracing,
+} from '@/types/workflow'
+
+export const useLogs = () => {
+  const [showRetryDetail, {
+    setTrue: setShowRetryDetailTrue,
+    setFalse: setShowRetryDetailFalse,
+  }] = useBoolean(false)
+  const [retryResultList, setRetryResultList] = useState<NodeTracing[]>([])
+  const handleShowRetryResultList = useCallback((detail: NodeTracing[]) => {
+    setShowRetryDetailTrue()
+    setRetryResultList(detail)
+  }, [setShowRetryDetailTrue, setRetryResultList])
+
+  const [showIteratingDetail, {
+    setTrue: setShowIteratingDetailTrue,
+    setFalse: setShowIteratingDetailFalse,
+  }] = useBoolean(false)
+  const [iterationResultList, setIterationResultList] = useState<NodeTracing[][]>([])
+  const [iterationResultDurationMap, setIterationResultDurationMap] = useState<IterationDurationMap>({})
+  const handleShowIterationResultList = useCallback((detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => {
+    setShowIteratingDetailTrue()
+    setIterationResultList(detail)
+    setIterationResultDurationMap(iterDurationMap)
+  }, [setShowIteratingDetailTrue, setIterationResultList, setIterationResultDurationMap])
+
+  const [agentOrToolLogItemStack, setAgentOrToolLogItemStack] = useState<AgentLogItemWithChildren[]>([])
+  const agentOrToolLogItemStackRef = useRef(agentOrToolLogItemStack)
+  const [agentOrToolLogListMap, setAgentOrToolLogListMap] = useState<Record<string, AgentLogItemWithChildren[]>>({})
+  const agentOrToolLogListMapRef = useRef(agentOrToolLogListMap)
+  const handleShowAgentOrToolLog = useCallback((detail?: AgentLogItemWithChildren) => {
+    if (!detail) {
+      setAgentOrToolLogItemStack([])
+      agentOrToolLogItemStackRef.current = []
+      return
+    }
+    const { id, children } = detail
+    let currentAgentOrToolLogItemStack = agentOrToolLogItemStackRef.current.slice()
+    const index = currentAgentOrToolLogItemStack.findIndex(logItem => logItem.id === id)
+
+    if (index > -1)
+      currentAgentOrToolLogItemStack = currentAgentOrToolLogItemStack.slice(0, index + 1)
+    else
+      currentAgentOrToolLogItemStack = [...currentAgentOrToolLogItemStack.slice(), detail]
+
+    setAgentOrToolLogItemStack(currentAgentOrToolLogItemStack)
+    agentOrToolLogItemStackRef.current = currentAgentOrToolLogItemStack
+
+    if (children) {
+      setAgentOrToolLogListMap({
+        ...agentOrToolLogListMapRef.current,
+        [id]: children,
+      })
+    }
+  }, [setAgentOrToolLogItemStack, setAgentOrToolLogListMap])
+
+  return {
+    showSpecialResultPanel: showRetryDetail || showIteratingDetail || !!agentOrToolLogItemStack.length,
+    showRetryDetail,
+    setShowRetryDetailTrue,
+    setShowRetryDetailFalse,
+    retryResultList,
+    setRetryResultList,
+    handleShowRetryResultList,
+
+    showIteratingDetail,
+    setShowIteratingDetailTrue,
+    setShowIteratingDetailFalse,
+    iterationResultList,
+    setIterationResultList,
+    iterationResultDurationMap,
+    setIterationResultDurationMap,
+    handleShowIterationResultList,
+
+    agentOrToolLogItemStack,
+    agentOrToolLogListMap,
+    handleShowAgentOrToolLog,
+  }
+}
diff --git a/web/app/components/workflow/run/index.tsx b/web/app/components/workflow/run/index.tsx
index 8b0319cabe..eaa88d2df8 100644
--- a/web/app/components/workflow/run/index.tsx
+++ b/web/app/components/workflow/run/index.tsx
@@ -3,21 +3,16 @@ import type { FC } from 'react'
 import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react'
 import { useContext } from 'use-context-selector'
 import { useTranslation } from 'react-i18next'
-import { useBoolean } from 'ahooks'
-import { BlockEnum } from '../types'
 import OutputPanel from './output-panel'
 import ResultPanel from './result-panel'
 import TracingPanel from './tracing-panel'
-import IterationResultPanel from './iteration-result-panel'
-import RetryResultPanel from './retry-result-panel'
 import cn from '@/utils/classnames'
 import { ToastContext } from '@/app/components/base/toast'
 import Loading from '@/app/components/base/loading'
 import { fetchRunDetail, fetchTracingList } from '@/service/log'
-import type { IterationDurationMap, NodeTracing } from '@/types/workflow'
+import type { NodeTracing } from '@/types/workflow'
 import type { WorkflowRunDetailResponse } from '@/models/log'
 import { useStore as useAppStore } from '@/app/components/app/store'
-
 export type RunProps = {
   hideResult?: boolean
   activeTab?: 'RESULT' | 'DETAIL' | 'TRACING'
@@ -60,124 +55,12 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe
     }
   }, [notify, getResultCallback])
 
-  const formatNodeList = useCallback((list: NodeTracing[]) => {
-    const allItems = [...list].reverse()
-    const result: NodeTracing[] = []
-    const nodeGroupMap = new Map<string, Map<string, NodeTracing[]>>()
-
-    const processIterationNode = (item: NodeTracing) => {
-      result.push({
-        ...item,
-        details: [],
-      })
-    }
-
-    const updateParallelModeGroup = (runId: string, item: NodeTracing, iterationNode: NodeTracing) => {
-      if (!nodeGroupMap.has(iterationNode.node_id))
-        nodeGroupMap.set(iterationNode.node_id, new Map())
-
-      const groupMap = nodeGroupMap.get(iterationNode.node_id)!
-
-      if (!groupMap.has(runId)) {
-        groupMap.set(runId, [item])
-      }
-      else {
-        if (item.status === 'retry') {
-          const retryNode = groupMap.get(runId)!.find(node => node.node_id === item.node_id)
-
-          if (retryNode) {
-            if (retryNode?.retryDetail)
-              retryNode.retryDetail.push(item)
-            else
-              retryNode.retryDetail = [item]
-          }
-        }
-        else {
-          groupMap.get(runId)!.push(item)
-        }
-      }
-
-      if (item.status === 'failed') {
-        iterationNode.status = 'failed'
-        iterationNode.error = item.error
-      }
-
-      iterationNode.details = Array.from(groupMap.values())
-    }
-    const updateSequentialModeGroup = (index: number, item: NodeTracing, iterationNode: NodeTracing) => {
-      const { details } = iterationNode
-      if (details) {
-        if (!details[index]) {
-          details[index] = [item]
-        }
-        else {
-          if (item.status === 'retry') {
-            const retryNode = details[index].find(node => node.node_id === item.node_id)
-
-            if (retryNode) {
-              if (retryNode?.retryDetail)
-                retryNode.retryDetail.push(item)
-              else
-                retryNode.retryDetail = [item]
-            }
-          }
-          else {
-            details[index].push(item)
-          }
-        }
-      }
-
-      if (item.status === 'failed') {
-        iterationNode.status = 'failed'
-        iterationNode.error = item.error
-      }
-    }
-    const processNonIterationNode = (item: NodeTracing) => {
-      const { execution_metadata } = item
-      if (!execution_metadata?.iteration_id) {
-        if (item.status === 'retry') {
-          const retryNode = result.find(node => node.node_id === item.node_id)
-
-          if (retryNode) {
-            if (retryNode?.retryDetail)
-              retryNode.retryDetail.push(item)
-            else
-              retryNode.retryDetail = [item]
-          }
-
-          return
-        }
-        result.push(item)
-        return
-      }
-
-      const iterationNode = result.find(node => node.node_id === execution_metadata.iteration_id)
-      if (!iterationNode || !Array.isArray(iterationNode.details))
-        return
-
-      const { parallel_mode_run_id, iteration_index = 0 } = execution_metadata
-
-      if (parallel_mode_run_id)
-        updateParallelModeGroup(parallel_mode_run_id, item, iterationNode)
-      else
-        updateSequentialModeGroup(iteration_index, item, iterationNode)
-    }
-
-    allItems.forEach((item) => {
-      item.node_type === BlockEnum.Iteration
-        ? processIterationNode(item)
-        : processNonIterationNode(item)
-    })
-
-    return result
-  }, [])
-
   const getTracingList = useCallback(async (appID: string, runID: string) => {
     try {
       const { data: nodeList } = await fetchTracingList({
         url: `/apps/${appID}/workflow-runs/${runID}/node-executions`,
       })
-      setList(formatNodeList(nodeList))
+      setList(nodeList)
     }
     catch (err) {
       notify({
@@ -219,42 +102,6 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe
     adjustResultHeight()
   }, [loading])
 
-  const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([])
-  const [iterDurationMap, setIterDurationMap] = useState<IterationDurationMap>({})
-  const [retryRunResult, setRetryRunResult] = useState<NodeTracing[]>([])
-  const [isShowIterationDetail, {
-    setTrue: doShowIterationDetail,
-    setFalse: doHideIterationDetail,
-  }] = useBoolean(false)
-  const [isShowRetryDetail, {
-    setTrue: doShowRetryDetail,
-    setFalse: doHideRetryDetail,
-  }] = useBoolean(false)
-
-  const handleShowIterationDetail = useCallback((detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => {
-    setIterationRunResult(detail)
-    doShowIterationDetail()
-    setIterDurationMap(iterDurationMap)
-  }, [doShowIterationDetail, setIterationRunResult, setIterDurationMap])
-
-  const handleShowRetryDetail = useCallback((detail: NodeTracing[]) => {
-    setRetryRunResult(detail)
-    doShowRetryDetail()
-  }, [doShowRetryDetail, setRetryRunResult])
-
-  if (isShowIterationDetail) {
-    return (
-      <div className='grow relative flex flex-col'>
-        <IterationResultPanel
-          list={iterationRunResult}
-          onHide={doHideIterationDetail}
-          onBack={doHideIterationDetail}
-          iterDurationMap={iterDurationMap}
-        />
-      </div>
-    )
-  }
-
   return (
     <div className='grow relative flex flex-col'>
       {/* tab */}
@@ -284,7 +131,7 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe
         >{t('runLog.tracing')}</div>
       </div>
       {/* panel detail */}
-      <div ref={ref} className={cn('grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-background-section-burn')}>
+      <div ref={ref} className={cn('relative grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl')}>
         {loading && (
           <div className='flex h-full items-center justify-center bg-components-panel-bg'>
             <Loading />
@@ -311,22 +158,12 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe
             exceptionCounts={runDetail.exceptions_count}
           />
         )}
-        {!loading && currentTab === 'TRACING' && !isShowRetryDetail && (
+        {!loading && currentTab === 'TRACING' && (
           <TracingPanel
             className='bg-background-section-burn'
             list={list}
-            onShowIterationDetail={handleShowIterationDetail}
-            onShowRetryDetail={handleShowRetryDetail}
           />
         )}
-        {
-          !loading && currentTab === 'TRACING' && isShowRetryDetail && (
-            <RetryResultPanel
-              list={retryRunResult}
-              onBack={doHideRetryDetail}
-            />
-          )
-        }
       </div>
     </div>
   )
diff --git a/web/app/components/workflow/run/iteration-log/index.tsx b/web/app/components/workflow/run/iteration-log/index.tsx
new file mode 100644
index 0000000000..5cbe70fece
--- /dev/null
+++ b/web/app/components/workflow/run/iteration-log/index.tsx
@@ -0,0 +1,2 @@
+export { default as IterationLogTrigger } from './iteration-log-trigger'
+export { default as IterationResultPanel } from './iteration-result-panel'
diff --git a/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx b/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx
new file mode 100644
index 0000000000..93c6495216
--- /dev/null
+++ b/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx
@@ -0,0 +1,57 @@
+import { useTranslation } from 'react-i18next'
+import { RiArrowRightSLine } from '@remixicon/react'
+import Button from '@/app/components/base/button'
+import type {
+  IterationDurationMap,
+  NodeTracing,
+} from '@/types/workflow'
+import { Iteration } from '@/app/components/base/icons/src/vender/workflow'
+
+type IterationLogTriggerProps = {
+  nodeInfo: NodeTracing
+  onShowIterationResultList: (iterationResultList: NodeTracing[][], iterationResultDurationMap: IterationDurationMap) => void
+}
+const IterationLogTrigger = ({
+  nodeInfo,
+  onShowIterationResultList,
+}: IterationLogTriggerProps) => {
+  const { t } = useTranslation()
+  const getErrorCount = (details: NodeTracing[][] | undefined) => {
+    if (!details || details.length === 0)
+      return 0
+
+    return details.reduce((acc, iteration) => {
+      if (iteration.some(item => item.status === 'failed'))
+        acc++
+      return acc
+    }, 0)
+  }
+  const getCount = (iteration_curr_length: number | undefined, iteration_length: number) => {
+    if ((iteration_curr_length && iteration_curr_length < iteration_length) || !iteration_length)
+      return iteration_curr_length
+
+    return iteration_length
+  }
+  const handleOnShowIterationDetail = (e: React.MouseEvent<HTMLButtonElement>) => {
+    e.stopPropagation()
+    e.nativeEvent.stopImmediatePropagation()
+    onShowIterationResultList(nodeInfo.details || [], nodeInfo?.iterDurationMap || nodeInfo.execution_metadata?.iteration_duration_map || {})
+  }
+  return (
+    <Button
+      className='flex items-center w-full self-stretch gap-2 px-3 py-2 bg-components-button-tertiary-bg-hover hover:bg-components-button-tertiary-bg-hover rounded-lg cursor-pointer border-none'
+      onClick={handleOnShowIterationDetail}
+    >
+      <Iteration className='w-4 h-4 text-components-button-tertiary-text shrink-0' />
+      <div className='flex-1 text-left system-sm-medium text-components-button-tertiary-text'>{t('workflow.nodes.iteration.iteration', { count: getCount(nodeInfo.details?.length, nodeInfo.metadata?.iterator_length) })}{getErrorCount(nodeInfo.details) > 0 && (
+        <>
+          {t('workflow.nodes.iteration.comma')}
+          {t('workflow.nodes.iteration.error', { count: getErrorCount(nodeInfo.details) })}
+        </>
+      )}</div>
+      <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' />
+    </Button>
+  )
+}
+
+export default IterationLogTrigger
diff --git a/web/app/components/workflow/run/iteration-result-panel.tsx b/web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx
similarity index 56%
rename from web/app/components/workflow/run/iteration-result-panel.tsx
rename to web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx
index b809e1e669..19f79feb13 100644
--- a/web/app/components/workflow/run/iteration-result-panel.tsx
+++ b/web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx
@@ -3,15 +3,13 @@ import type { FC } from 'react'
 import React, { useCallback, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import {
+  RiArrowLeftLine,
   RiArrowRightSLine,
-  RiCloseLine,
   RiErrorWarningLine,
   RiLoader2Line,
 } from '@remixicon/react'
-import { ArrowNarrowLeft } from '../../base/icons/src/vender/line/arrows'
-import { NodeRunningStatus } from '../types'
-import TracingPanel from './tracing-panel'
-import RetryResultPanel from './retry-result-panel'
+import { NodeRunningStatus } from '@/app/components/workflow/types'
+import TracingPanel from '@/app/components/workflow/run/tracing-panel'
 import { Iteration } from '@/app/components/base/icons/src/vender/workflow'
 import cn from '@/utils/classnames'
 import type { IterationDurationMap, NodeTracing } from '@/types/workflow'
@@ -19,17 +17,13 @@ const i18nPrefix = 'workflow.singleRun'
 
 type Props = {
   list: NodeTracing[][]
-  onHide: () => void
   onBack: () => void
-  noWrap?: boolean
   iterDurationMap?: IterationDurationMap
 }
 
 const IterationResultPanel: FC<Props> = ({
   list,
-  onHide,
   onBack,
-  noWrap,
   iterDurationMap,
 }) => {
   const { t } = useTranslation()
@@ -75,29 +69,22 @@ const IterationResultPanel: FC<Props> = ({
       </>
     )
   }
-  const [retryRunResult, setRetryRunResult] = useState<Record<string, NodeTracing[]> | undefined>()
-  const handleRetryDetail = (v: number, detail?: NodeTracing[]) => {
-    setRetryRunResult({ ...retryRunResult, [v]: detail })
-  }
 
-  const main = (
-    <>
-      <div className={cn(!noWrap && 'shrink-0 ', 'px-4 pt-3')}>
-        <div className='shrink-0 flex justify-between items-center h-8'>
-          <div className='system-xl-semibold text-text-primary truncate'>
-            {t(`${i18nPrefix}.testRunIteration`)}
-          </div>
-          <div className='ml-2 shrink-0 p-1 cursor-pointer' onClick={onHide}>
-            <RiCloseLine className='w-4 h-4 text-text-tertiary' />
-          </div>
-        </div>
-        <div className='flex items-center py-2 space-x-1 text-text-accent-secondary cursor-pointer' onClick={onBack}>
-          <ArrowNarrowLeft className='w-4 h-4' />
-          <div className='system-sm-medium'>{t(`${i18nPrefix}.back`)}</div>
-        </div>
+  return (
+    <div className='bg-components-panel-bg'>
+      <div
+        className='flex items-center px-4 h-8 text-text-accent-secondary cursor-pointer border-b-[0.5px] border-b-divider-regular'
+        onClick={(e) => {
+          e.stopPropagation()
+          e.nativeEvent.stopImmediatePropagation()
+          onBack()
+        }}
+      >
+        <RiArrowLeftLine className='mr-1 w-4 h-4' />
+        <div className='system-sm-medium'>{t(`${i18nPrefix}.back`)}</div>
       </div>
       {/* List */}
-      <div className={cn(!noWrap ? 'flex-grow overflow-auto' : 'max-h-full', 'p-2 bg-components-panel-bg')}>
+      <div className='p-2 bg-components-panel-bg'>
         {list.map((iteration, index) => (
           <div key={index} className={cn('mb-1 overflow-hidden rounded-xl bg-background-section-burn border-none')}>
             <div
@@ -109,66 +96,31 @@ const IterationResultPanel: FC<Props> = ({
               onClick={() => toggleIteration(index)}
             >
               <div className={cn('flex items-center gap-2 flex-grow')}>
-                <div className='flex items-center justify-center w-4 h-4 rounded-[5px] border-divider-subtle bg-util-colors-cyan-cyan-500 flex-shrink-0'>
+                <div className='flex items-center justify-center w-4 h-4 rounded-[5px] border-divider-subtle bg-util-colors-cyan-cyan-500 shrink-0'>
                   <Iteration className='w-3 h-3 text-text-primary-on-surface' />
                 </div>
-                <span className='system-sm-semibold-uppercase text-text-primary flex-grow'>
+                <span className='system-sm-semibold-uppercase text-text-primary grow'>
                   {t(`${i18nPrefix}.iteration`)} {index + 1}
                 </span>
                 {iterationStatusShow(index, iteration, iterDurationMap)}
               </div>
             </div>
             {expandedIterations[index] && <div
-              className="flex-grow h-px bg-divider-subtle"
+              className="grow h-px bg-divider-subtle"
             ></div>}
-            {
-              !retryRunResult?.[index] && (
-                <div className={cn(
-                  'overflow-hidden transition-all duration-200',
-                  expandedIterations[index] ? 'max-h-[1000px] opacity-100' : 'max-h-0 opacity-0',
-                )}>
-                  <TracingPanel
-                    list={iteration}
-                    className='bg-background-section-burn'
-                    onShowRetryDetail={v => handleRetryDetail(index, v)}
-                  />
-                </div>
-              )
-            }
-            {
-              retryRunResult?.[index] && (
-                <RetryResultPanel
-                  list={retryRunResult[index]}
-                  onBack={() => handleRetryDetail(index, undefined)}
-                />
-              )
-            }
+            <div className={cn(
+              'overflow-hidden transition-all duration-200',
+              expandedIterations[index] ? 'max-h-[1000px] opacity-100' : 'max-h-0 opacity-0',
+            )}>
+              <TracingPanel
+                list={iteration}
+                className='bg-background-section-burn'
+              />
+            </div>
           </div>
         ))}
       </div>
-    </>
-  )
-  const handleNotBubble = useCallback((e: React.MouseEvent) => {
-    // if not do this, it will trigger the message log modal disappear(useClickAway)
-    e.stopPropagation()
-    e.nativeEvent.stopImmediatePropagation()
-  }, [])
-
-  if (noWrap)
-    return main
-
-  return (
-    <div
-      className='absolute inset-0 z-10 rounded-2xl pt-10'
-      style={{
-        backgroundColor: 'rgba(16, 24, 40, 0.20)',
-      }}
-      onClick={handleNotBubble}
-    >
-      <div className='h-full rounded-2xl bg-components-panel-bg flex flex-col'>
-        {main}
-      </div>
-    </div >
+    </div>
   )
 }
 export default React.memo(IterationResultPanel)
diff --git a/web/app/components/workflow/run/node.tsx b/web/app/components/workflow/run/node.tsx
index d2da319a02..33ed05e891 100644
--- a/web/app/components/workflow/run/node.tsx
+++ b/web/app/components/workflow/run/node.tsx
@@ -8,18 +8,21 @@ import {
   RiCheckboxCircleFill,
   RiErrorWarningLine,
   RiLoader2Line,
-  RiRestartFill,
 } from '@remixicon/react'
 import BlockIcon from '../block-icon'
 import { BlockEnum } from '../types'
-import Split from '../nodes/_base/components/split'
-import { Iteration } from '@/app/components/base/icons/src/vender/workflow'
+import { RetryLogTrigger } from './retry-log'
+import { IterationLogTrigger } from './iteration-log'
+import { AgentLogTrigger } from './agent-log'
 import cn from '@/utils/classnames'
 import StatusContainer from '@/app/components/workflow/run/status-container'
 import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor'
-import Button from '@/app/components/base/button'
 import { CodeLanguage } from '@/app/components/workflow/nodes/code/types'
-import type { IterationDurationMap, NodeTracing } from '@/types/workflow'
+import type {
+  AgentLogItemWithChildren,
+  IterationDurationMap,
+  NodeTracing,
+} from '@/types/workflow'
 import ErrorHandleTip from '@/app/components/workflow/nodes/_base/components/error-handle/error-handle-tip'
 import { hasRetryNode } from '@/app/components/workflow/utils'
 
@@ -31,9 +34,8 @@ type Props = {
   hideProcessDetail?: boolean
   onShowIterationDetail?: (detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => void
   onShowRetryDetail?: (detail: NodeTracing[]) => void
+  onShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void
   notShowIterationNav?: boolean
-  justShowIterationNavArrow?: boolean
-  justShowRetryNavArrow?: boolean
 }
 
 const NodePanel: FC<Props> = ({
@@ -44,8 +46,8 @@ const NodePanel: FC<Props> = ({
   hideProcessDetail,
   onShowIterationDetail,
   onShowRetryDetail,
+  onShowAgentOrToolLog,
   notShowIterationNav,
-  justShowIterationNavArrow,
 }) => {
   const [collapseState, doSetCollapseState] = useState<boolean>(true)
   const setCollapseState = useCallback((state: boolean) => {
@@ -59,7 +61,7 @@ const NodePanel: FC<Props> = ({
     if (time < 1)
       return `${(time * 1000).toFixed(3)} ms`
     if (time > 60)
-      return `${parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s`
+      return `${Number.parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s`
     return `${time.toFixed(3)} s`
   }
 
@@ -67,43 +69,20 @@ const NodePanel: FC<Props> = ({
     if (tokens < 1000)
       return tokens
     if (tokens >= 1000 && tokens < 1000000)
-      return `${parseFloat((tokens / 1000).toFixed(3))}K`
+      return `${Number.parseFloat((tokens / 1000).toFixed(3))}K`
     if (tokens >= 1000000)
-      return `${parseFloat((tokens / 1000000).toFixed(3))}M`
+      return `${Number.parseFloat((tokens / 1000000).toFixed(3))}M`
   }
 
-  const getCount = (iteration_curr_length: number | undefined, iteration_length: number) => {
-    if ((iteration_curr_length && iteration_curr_length < iteration_length) || !iteration_length)
-      return iteration_curr_length
-
-    return iteration_length
-  }
-  const getErrorCount = (details: NodeTracing[][] | undefined) => {
-    if (!details || details.length === 0)
-      return 0
-
-    return details.reduce((acc, iteration) => {
-      if (iteration.some(item => item.status === 'failed'))
-        acc++
-      return acc
-    }, 0)
-  }
   useEffect(() => {
     setCollapseState(!nodeInfo.expand)
   }, [nodeInfo.expand, setCollapseState])
 
-  const isIterationNode = nodeInfo.node_type === BlockEnum.Iteration
-  const isRetryNode = hasRetryNode(nodeInfo.node_type) && nodeInfo.retryDetail
-  const handleOnShowIterationDetail = (e: React.MouseEvent<HTMLButtonElement>) => {
-    e.stopPropagation()
-    e.nativeEvent.stopImmediatePropagation()
-    onShowIterationDetail?.(nodeInfo.details || [], nodeInfo?.iterDurationMap || nodeInfo.execution_metadata?.iteration_duration_map || {})
-  }
-  const handleOnShowRetryDetail = (e: React.MouseEvent<HTMLButtonElement>) => {
-    e.stopPropagation()
-    e.nativeEvent.stopImmediatePropagation()
-    onShowRetryDetail?.(nodeInfo.retryDetail || [])
-  }
+  const isIterationNode = nodeInfo.node_type === BlockEnum.Iteration && !!nodeInfo.details?.length
+  const isRetryNode = hasRetryNode(nodeInfo.node_type) && !!nodeInfo.retryDetail?.length
+  const isAgentNode = nodeInfo.node_type === BlockEnum.Agent && !!nodeInfo.agentLog?.length
+  const isToolNode = nodeInfo.node_type === BlockEnum.Tool && !!nodeInfo.agentLog?.length
+
   return (
     <div className={cn('px-2 py-1', className)}>
       <div className='group transition-all bg-background-default border border-components-panel-border rounded-[10px] shadow-xs hover:shadow-md'>
@@ -153,46 +132,26 @@ const NodePanel: FC<Props> = ({
         {!collapseState && !hideProcessDetail && (
           <div className='px-1 pb-1'>
             {/* The nav to the iteration detail */}
-            {isIterationNode && !notShowIterationNav && (
-              <div className='mt-2 mb-1 !px-2'>
-                <Button
-                  className='flex items-center w-full self-stretch gap-2 px-3 py-2 bg-components-button-tertiary-bg-hover hover:bg-components-button-tertiary-bg-hover rounded-lg cursor-pointer border-none'
-                  onClick={handleOnShowIterationDetail}
-                >
-                  <Iteration className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-                  <div className='flex-1 text-left system-sm-medium text-components-button-tertiary-text'>{t('workflow.nodes.iteration.iteration', { count: getCount(nodeInfo.details?.length, nodeInfo.metadata?.iterator_length) })}{getErrorCount(nodeInfo.details) > 0 && (
-                    <>
-                      {t('workflow.nodes.iteration.comma')}
-                      {t('workflow.nodes.iteration.error', { count: getErrorCount(nodeInfo.details) })}
-                    </>
-                  )}</div>
-                  {justShowIterationNavArrow
-                    ? (
-                      <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-                    )
-                    : (
-                      <div className='flex items-center space-x-1 text-[#155EEF]'>
-                        <div className='text-[13px] font-normal '>{t('workflow.common.viewDetailInTracingPanel')}</div>
-                        <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-                      </div>
-                    )}
-                </Button>
-                <Split className='mt-2' />
-              </div>
+            {isIterationNode && !notShowIterationNav && onShowIterationDetail && (
+              <IterationLogTrigger
+                nodeInfo={nodeInfo}
+                onShowIterationResultList={onShowIterationDetail}
+              />
             )}
-            {isRetryNode && (
-              <Button
-                className='flex items-center justify-between mb-1 w-full'
-                variant='tertiary'
-                onClick={handleOnShowRetryDetail}
-              >
-                <div className='flex items-center'>
-                  <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-                  {t('workflow.nodes.common.retry.retries', { num: nodeInfo.retryDetail?.length })}
-                </div>
-                <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-              </Button>
+            {isRetryNode && onShowRetryDetail && (
+              <RetryLogTrigger
+                nodeInfo={nodeInfo}
+                onShowRetryResultList={onShowRetryDetail}
+              />
             )}
+            {
+              (isAgentNode || isToolNode) && onShowAgentOrToolLog && (
+                <AgentLogTrigger
+                  nodeInfo={nodeInfo}
+                  onShowAgentOrToolLog={onShowAgentOrToolLog}
+                />
+              )
+            }
             <div className={cn('mb-1', hideInfo && '!px-2 !py-0.5')}>
               {(nodeInfo.status === 'stopped') && (
                 <StatusContainer status='stopped'>
diff --git a/web/app/components/workflow/run/output-panel.tsx b/web/app/components/workflow/run/output-panel.tsx
index ee508572c5..8056b0672c 100644
--- a/web/app/components/workflow/run/output-panel.tsx
+++ b/web/app/components/workflow/run/output-panel.tsx
@@ -54,7 +54,7 @@ const OutputPanel: FC<OutputPanelProps> = ({
     return getProcessedFilesFromResponse(fileList)
   }, [outputs])
   return (
-    <div className='py-2'>
+    <div className='p-2'>
       {isRunning && (
         <div className='pt-4 pl-[26px]'>
           <LoadingAnim type='text' />
diff --git a/web/app/components/workflow/run/result-panel.tsx b/web/app/components/workflow/run/result-panel.tsx
index bbe740ad48..b05e5cb888 100644
--- a/web/app/components/workflow/run/result-panel.tsx
+++ b/web/app/components/workflow/run/result-panel.tsx
@@ -1,19 +1,23 @@
 'use client'
 import type { FC } from 'react'
 import { useTranslation } from 'react-i18next'
-import {
-  RiArrowRightSLine,
-  RiRestartFill,
-} from '@remixicon/react'
 import StatusPanel from './status'
 import MetaData from './meta'
 import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor'
 import { CodeLanguage } from '@/app/components/workflow/nodes/code/types'
 import ErrorHandleTip from '@/app/components/workflow/nodes/_base/components/error-handle/error-handle-tip'
-import type { NodeTracing } from '@/types/workflow'
-import Button from '@/app/components/base/button'
+import type {
+  AgentLogItemWithChildren,
+  NodeTracing,
+} from '@/types/workflow'
+import { BlockEnum } from '@/app/components/workflow/types'
+import { hasRetryNode } from '@/app/components/workflow/utils'
+import { IterationLogTrigger } from '@/app/components/workflow/run/iteration-log'
+import { RetryLogTrigger } from '@/app/components/workflow/run/retry-log'
+import { AgentLogTrigger } from '@/app/components/workflow/run/agent-log'
 
 type ResultPanelProps = {
+  nodeInfo?: NodeTracing
   inputs?: string
   process_data?: string
   outputs?: string
@@ -28,11 +32,13 @@ type ResultPanelProps = {
   showSteps?: boolean
   exceptionCounts?: number
   execution_metadata?: any
-  retry_events?: NodeTracing[]
-  onShowRetryDetail?: (retries: NodeTracing[]) => void
+  handleShowIterationResultList?: (detail: NodeTracing[][], iterDurationMap: any) => void
+  onShowRetryDetail?: (detail: NodeTracing[]) => void
+  handleShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void
 }
 
 const ResultPanel: FC<ResultPanelProps> = ({
+  nodeInfo,
   inputs,
   process_data,
   outputs,
@@ -46,10 +52,15 @@ const ResultPanel: FC<ResultPanelProps> = ({
   showSteps,
   exceptionCounts,
   execution_metadata,
-  retry_events,
+  handleShowIterationResultList,
   onShowRetryDetail,
+  handleShowAgentOrToolLog,
 }) => {
   const { t } = useTranslation()
+  const isIterationNode = nodeInfo?.node_type === BlockEnum.Iteration && !!nodeInfo?.details?.length
+  const isRetryNode = hasRetryNode(nodeInfo?.node_type) && !!nodeInfo?.retryDetail?.length
+  const isAgentNode = nodeInfo?.node_type === BlockEnum.Agent && !!nodeInfo?.agentLog?.length
+  const isToolNode = nodeInfo?.node_type === BlockEnum.Tool && !!nodeInfo?.agentLog?.length
 
   return (
     <div className='bg-components-panel-bg py-2'>
@@ -62,23 +73,32 @@ const ResultPanel: FC<ResultPanelProps> = ({
           exceptionCounts={exceptionCounts}
         />
       </div>
-      {
-        retry_events?.length && onShowRetryDetail && (
-          <div className='px-4'>
-            <Button
-              className='flex items-center justify-between w-full'
-              variant='tertiary'
-              onClick={() => onShowRetryDetail(retry_events)}
-            >
-              <div className='flex items-center'>
-                <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-                {t('workflow.nodes.common.retry.retries', { num: retry_events?.length })}
-              </div>
-              <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' />
-            </Button>
-          </div>
-        )
-      }
+      <div className='px-4'>
+        {
+          isIterationNode && handleShowIterationResultList && (
+            <IterationLogTrigger
+              nodeInfo={nodeInfo}
+              onShowIterationResultList={handleShowIterationResultList}
+            />
+          )
+        }
+        {
+          isRetryNode && onShowRetryDetail && (
+            <RetryLogTrigger
+              nodeInfo={nodeInfo}
+              onShowRetryResultList={onShowRetryDetail}
+            />
+          )
+        }
+        {
+          (isAgentNode || isToolNode) && handleShowAgentOrToolLog && (
+            <AgentLogTrigger
+              nodeInfo={nodeInfo}
+              onShowAgentOrToolLog={handleShowAgentOrToolLog}
+            />
+          )
+        }
+      </div>
       <div className='px-4 py-2 flex flex-col gap-2'>
         <CodeEditor
           readOnly
diff --git a/web/app/components/workflow/run/result-text.tsx b/web/app/components/workflow/run/result-text.tsx
index 27b1f2cd8c..9183226b60 100644
--- a/web/app/components/workflow/run/result-text.tsx
+++ b/web/app/components/workflow/run/result-text.tsx
@@ -7,7 +7,7 @@ import LoadingAnim from '@/app/components/base/chat/chat/loading-anim'
 import StatusContainer from '@/app/components/workflow/run/status-container'
 import { FileList } from '@/app/components/base/file-uploader'
 
-type ResultTextProps = {
+interface ResultTextProps {
   isRunning?: boolean
   outputs?: any
   error?: string
diff --git a/web/app/components/workflow/run/retry-log/index.tsx b/web/app/components/workflow/run/retry-log/index.tsx
new file mode 100644
index 0000000000..ee83f1a151
--- /dev/null
+++ b/web/app/components/workflow/run/retry-log/index.tsx
@@ -0,0 +1,2 @@
+export { default as RetryLogTrigger } from './retry-log-trigger'
+export { default as RetryResultPanel } from './retry-result-panel'
diff --git a/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx b/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx
new file mode 100644
index 0000000000..9c4a987c42
--- /dev/null
+++ b/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx
@@ -0,0 +1,41 @@
+import { useTranslation } from 'react-i18next'
+import {
+  RiArrowRightSLine,
+  RiRestartFill,
+} from '@remixicon/react'
+import Button from '@/app/components/base/button'
+import type { NodeTracing } from '@/types/workflow'
+
+type RetryLogTriggerProps = {
+  nodeInfo: NodeTracing
+  onShowRetryResultList: (detail: NodeTracing[]) => void
+}
+const RetryLogTrigger = ({
+  nodeInfo,
+  onShowRetryResultList,
+}: RetryLogTriggerProps) => {
+  const { t } = useTranslation()
+  const { retryDetail } = nodeInfo
+
+  const handleShowRetryResultList = (e: React.MouseEvent<HTMLButtonElement>) => {
+    e.stopPropagation()
+    e.nativeEvent.stopImmediatePropagation()
+    onShowRetryResultList(retryDetail || [])
+  }
+
+  return (
+    <Button
+      className='flex items-center justify-between mb-1 w-full'
+      variant='tertiary'
+      onClick={handleShowRetryResultList}
+    >
+      <div className='flex items-center'>
+        <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text shrink-0' />
+        {t('workflow.nodes.common.retry.retries', { num: retryDetail?.length })}
+      </div>
+      <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' />
+    </Button>
+  )
+}
+
+export default RetryLogTrigger
diff --git a/web/app/components/workflow/run/retry-result-panel.tsx b/web/app/components/workflow/run/retry-log/retry-result-panel.tsx
similarity index 96%
rename from web/app/components/workflow/run/retry-result-panel.tsx
rename to web/app/components/workflow/run/retry-log/retry-result-panel.tsx
index 3b177b1623..a8d171a4fc 100644
--- a/web/app/components/workflow/run/retry-result-panel.tsx
+++ b/web/app/components/workflow/run/retry-log/retry-result-panel.tsx
@@ -6,7 +6,7 @@ import { useTranslation } from 'react-i18next'
 import {
   RiArrowLeftLine,
 } from '@remixicon/react'
-import TracingPanel from './tracing-panel'
+import TracingPanel from '../tracing-panel'
 import type { NodeTracing } from '@/types/workflow'
 
 type Props = {
diff --git a/web/app/components/workflow/run/special-result-panel.tsx b/web/app/components/workflow/run/special-result-panel.tsx
new file mode 100644
index 0000000000..cdd77894f5
--- /dev/null
+++ b/web/app/components/workflow/run/special-result-panel.tsx
@@ -0,0 +1,73 @@
+import { RetryResultPanel } from './retry-log'
+import { IterationResultPanel } from './iteration-log'
+import { AgentResultPanel } from './agent-log'
+import type {
+  AgentLogItemWithChildren,
+  IterationDurationMap,
+  NodeTracing,
+} from '@/types/workflow'
+
+export type SpecialResultPanelProps = {
+  showRetryDetail?: boolean
+  setShowRetryDetailFalse?: () => void
+  retryResultList?: NodeTracing[]
+
+  showIteratingDetail?: boolean
+  setShowIteratingDetailFalse?: () => void
+  iterationResultList?: NodeTracing[][]
+  iterationResultDurationMap?: IterationDurationMap
+
+  agentOrToolLogItemStack?: AgentLogItemWithChildren[]
+  agentOrToolLogListMap?: Record<string, AgentLogItemWithChildren[]>
+  handleShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void
+}
+const SpecialResultPanel = ({
+  showRetryDetail,
+  setShowRetryDetailFalse,
+  retryResultList,
+
+  showIteratingDetail,
+  setShowIteratingDetailFalse,
+  iterationResultList,
+  iterationResultDurationMap,
+
+  agentOrToolLogItemStack,
+  agentOrToolLogListMap,
+  handleShowAgentOrToolLog,
+}: SpecialResultPanelProps) => {
+  return (
+    <div onClick={(e) => {
+      e.stopPropagation()
+      e.nativeEvent.stopImmediatePropagation()
+    }}>
+      {
+        !!showRetryDetail && !!retryResultList?.length && setShowRetryDetailFalse && (
+          <RetryResultPanel
+            list={retryResultList}
+            onBack={setShowRetryDetailFalse}
+          />
+        )
+      }
+      {
+        showIteratingDetail && !!iterationResultList?.length && setShowIteratingDetailFalse && (
+          <IterationResultPanel
+            list={iterationResultList}
+            onBack={setShowIteratingDetailFalse}
+            iterDurationMap={iterationResultDurationMap}
+          />
+        )
+      }
+      {
+        !!agentOrToolLogItemStack?.length && agentOrToolLogListMap && handleShowAgentOrToolLog && (
+          <AgentResultPanel
+            agentOrToolLogItemStack={agentOrToolLogItemStack}
+            agentOrToolLogListMap={agentOrToolLogListMap}
+            onShowAgentOrToolLog={handleShowAgentOrToolLog}
+          />
+        )
+      }
+    </div>
+  )
+}
+
+export default SpecialResultPanel
diff --git a/web/app/components/workflow/run/status-container.tsx b/web/app/components/workflow/run/status-container.tsx
index 97d0e100db..296845ca4f 100644
--- a/web/app/components/workflow/run/status-container.tsx
+++ b/web/app/components/workflow/run/status-container.tsx
@@ -1,5 +1,7 @@
 'use client'
 import type { FC } from 'react'
+import { useAppContext } from '@/context/app-context'
+import { Theme } from '@/types/app'
 import cn from '@/utils/classnames'
 
 type Props = {
@@ -11,19 +13,36 @@ const StatusContainer: FC<Props> = ({
   status,
   children,
 }) => {
+  const { theme } = useAppContext()
   return (
     <div
       className={cn(
         'relative px-3 py-2.5 rounded-lg border system-xs-regular break-all',
-        status === 'succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-success',
-        status === 'partial-succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-success',
-        status === 'failed' && 'border-[rgba(240,68,56,0.8)] bg-workflow-display-error-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-error.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(240,68,56,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-warning',
-        status === 'stopped' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-destructive',
-        status === 'exception' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-destructive',
-        status === 'running' && 'border-[rgba(11,165,236,0.8)] bg-workflow-display-normal-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-running.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(11,165,236,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-util-colors-blue-light-blue-light-600',
+        status === 'succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] text-text-success',
+        status === 'succeeded' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'succeeded' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(23,178,106,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
+        status === 'partial-succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] text-text-success',
+        status === 'partial-succeeded' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'partial-succeeded' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(23,178,106,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
+        status === 'failed' && 'border-[rgba(240,68,56,0.8)] bg-workflow-display-error-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-error.svg)] text-text-warning',
+        status === 'failed' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(240,68,56,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'failed' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(240,68,56,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
+        status === 'stopped' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] text-text-destructive',
+        status === 'stopped' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'stopped' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(247,144,9,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
+        status === 'exception' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] text-text-destructive',
+        status === 'exception' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'exception' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(247,144,9,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
+        status === 'running' && 'border-[rgba(11,165,236,0.8)] bg-workflow-display-normal-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-running.svg)] text-util-colors-blue-light-blue-light-600',
+        status === 'running' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(11,165,236,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]',
+        status === 'running' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(11,165,236,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]',
       )}
     >
-      <div className='absolute top-0 left-0 w-[65%] h-[50px] bg-[url(~@/app/components/workflow/run/assets/highlight.svg)]'></div>
+      <div className={cn(
+        'absolute top-0 left-0 w-[65%] h-[50px] bg-no-repeat',
+        theme === Theme.light && 'bg-[url(~@/app/components/workflow/run/assets/highlight.svg)]',
+        theme === Theme.dark && 'bg-[url(~@/app/components/workflow/run/assets/highlight-dark.svg)]',
+      )}></div>
       {children}
     </div>
   )
diff --git a/web/app/components/workflow/run/tracing-panel.tsx b/web/app/components/workflow/run/tracing-panel.tsx
index ad78971895..7739c8f836 100644
--- a/web/app/components/workflow/run/tracing-panel.tsx
+++ b/web/app/components/workflow/run/tracing-panel.tsx
@@ -12,162 +12,27 @@ import {
   RiMenu4Line,
 } from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
+import { useLogs } from './hooks'
 import NodePanel from './node'
-import {
-  BlockEnum,
-} from '@/app/components/workflow/types'
-import type { IterationDurationMap, NodeTracing } from '@/types/workflow'
+import SpecialResultPanel from './special-result-panel'
+import type { NodeTracing } from '@/types/workflow'
+import formatNodeList from '@/app/components/workflow/run/utils/format-log'
 
 type TracingPanelProps = {
   list: NodeTracing[]
-  onShowIterationDetail?: (detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => void
-  onShowRetryDetail?: (detail: NodeTracing[]) => void
   className?: string
   hideNodeInfo?: boolean
   hideNodeProcessDetail?: boolean
 }
 
-type TracingNodeProps = {
-  id: string
-  uniqueId: string
-  isParallel: boolean
-  data: NodeTracing | null
-  children: TracingNodeProps[]
-  parallelTitle?: string
-  branchTitle?: string
-  hideNodeInfo?: boolean
-  hideNodeProcessDetail?: boolean
-}
-
-function buildLogTree(nodes: NodeTracing[], t: (key: string) => string): TracingNodeProps[] {
-  const rootNodes: TracingNodeProps[] = []
-  const parallelStacks: { [key: string]: TracingNodeProps } = {}
-  const levelCounts: { [key: string]: number } = {}
-  const parallelChildCounts: { [key: string]: Set<string> } = {}
-  let uniqueIdCounter = 0
-  const getUniqueId = () => {
-    uniqueIdCounter++
-    return `unique-${uniqueIdCounter}`
-  }
-
-  const getParallelTitle = (parentId: string | null): string => {
-    const levelKey = parentId || 'root'
-    if (!levelCounts[levelKey])
-      levelCounts[levelKey] = 0
-
-    levelCounts[levelKey]++
-
-    const parentTitle = parentId ? parallelStacks[parentId]?.parallelTitle : ''
-    const levelNumber = parentTitle ? parseInt(parentTitle.split('-')[1]) + 1 : 1
-    const letter = parallelChildCounts[levelKey]?.size > 1 ? String.fromCharCode(64 + levelCounts[levelKey]) : ''
-    return `${t('workflow.common.parallel')}-${levelNumber}${letter}`
-  }
-
-  const getBranchTitle = (parentId: string | null, branchNum: number): string => {
-    const levelKey = parentId || 'root'
-    const parentTitle = parentId ? parallelStacks[parentId]?.parallelTitle : ''
-    const levelNumber = parentTitle ? parseInt(parentTitle.split('-')[1]) + 1 : 1
-    const letter = parallelChildCounts[levelKey]?.size > 1 ? String.fromCharCode(64 + levelCounts[levelKey]) : ''
-    const branchLetter = String.fromCharCode(64 + branchNum)
-    return `${t('workflow.common.branch')}-${levelNumber}${letter}-${branchLetter}`
-  }
-
-  // Count parallel children (for figuring out if we need to use letters)
-  for (const node of nodes) {
-    const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null
-    const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null
-
-    if (parallel_id) {
-      const parentKey = parent_parallel_id || 'root'
-      if (!parallelChildCounts[parentKey])
-        parallelChildCounts[parentKey] = new Set()
-
-      parallelChildCounts[parentKey].add(parallel_id)
-    }
-  }
-
-  for (const node of nodes) {
-    const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null
-    const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null
-    const parallel_start_node_id = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null
-    const parent_parallel_start_node_id = node.parent_parallel_start_node_id ?? node.execution_metadata?.parent_parallel_start_node_id ?? null
-
-    if (!parallel_id || node.node_type === BlockEnum.End) {
-      rootNodes.push({
-        id: node.id,
-        uniqueId: getUniqueId(),
-        isParallel: false,
-        data: node,
-        children: [],
-      })
-    }
-    else {
-      if (!parallelStacks[parallel_id]) {
-        const newParallelGroup: TracingNodeProps = {
-          id: parallel_id,
-          uniqueId: getUniqueId(),
-          isParallel: true,
-          data: null,
-          children: [],
-          parallelTitle: '',
-        }
-        parallelStacks[parallel_id] = newParallelGroup
-
-        if (parent_parallel_id && parallelStacks[parent_parallel_id]) {
-          const sameBranchIndex = parallelStacks[parent_parallel_id].children.findLastIndex(c =>
-            c.data?.execution_metadata?.parallel_start_node_id === parent_parallel_start_node_id || c.data?.parallel_start_node_id === parent_parallel_start_node_id,
-          )
-          parallelStacks[parent_parallel_id].children.splice(sameBranchIndex + 1, 0, newParallelGroup)
-          newParallelGroup.parallelTitle = getParallelTitle(parent_parallel_id)
-        }
-        else {
-          newParallelGroup.parallelTitle = getParallelTitle(parent_parallel_id)
-          rootNodes.push(newParallelGroup)
-        }
-      }
-      const branchTitle = parallel_start_node_id === node.node_id ? getBranchTitle(parent_parallel_id, parallelStacks[parallel_id].children.length + 1) : ''
-      if (branchTitle) {
-        parallelStacks[parallel_id].children.push({
-          id: node.id,
-          uniqueId: getUniqueId(),
-          isParallel: false,
-          data: node,
-          children: [],
-          branchTitle,
-        })
-      }
-      else {
-        let sameBranchIndex = parallelStacks[parallel_id].children.findLastIndex(c =>
-          c.data?.execution_metadata?.parallel_start_node_id === parallel_start_node_id || c.data?.parallel_start_node_id === parallel_start_node_id,
-        )
-        if (parallelStacks[parallel_id].children[sameBranchIndex + 1]?.isParallel)
-          sameBranchIndex++
-
-        parallelStacks[parallel_id].children.splice(sameBranchIndex + 1, 0, {
-          id: node.id,
-          uniqueId: getUniqueId(),
-          isParallel: false,
-          data: node,
-          children: [],
-          branchTitle,
-        })
-      }
-    }
-  }
-
-  return rootNodes
-}
-
 const TracingPanel: FC<TracingPanelProps> = ({
   list,
-  onShowIterationDetail,
-  onShowRetryDetail,
   className,
   hideNodeInfo = false,
   hideNodeProcessDetail = false,
 }) => {
   const { t } = useTranslation()
-  const treeNodes = buildLogTree(list, t)
+  const treeNodes = formatNodeList(list, t)
   const [collapsedNodes, setCollapsedNodes] = useState<Set<string>>(new Set())
   const [hoveredParallel, setHoveredParallel] = useState<string | null>(null)
 
@@ -203,13 +68,34 @@ const TracingPanel: FC<TracingPanelProps> = ({
     }
   }, [])
 
-  const renderNode = (node: TracingNodeProps) => {
-    if (node.isParallel) {
+  const {
+    showSpecialResultPanel,
+
+    showRetryDetail,
+    setShowRetryDetailFalse,
+    retryResultList,
+    handleShowRetryResultList,
+
+    showIteratingDetail,
+    setShowIteratingDetailFalse,
+    iterationResultList,
+    iterationResultDurationMap,
+    handleShowIterationResultList,
+
+    agentOrToolLogItemStack,
+    agentOrToolLogListMap,
+    handleShowAgentOrToolLog,
+  } = useLogs()
+
+  const renderNode = (node: NodeTracing) => {
+    const isParallelFirstNode = !!node.parallelDetail?.isParallelStartNode
+    if (isParallelFirstNode) {
+      const parallelDetail = node.parallelDetail!
       const isCollapsed = collapsedNodes.has(node.id)
       const isHovered = hoveredParallel === node.id
       return (
         <div
-          key={node.uniqueId}
+          key={node.id}
           className="ml-4 mb-2 relative"
           data-parallel-id={node.id}
           onMouseEnter={() => handleParallelMouseEnter(node.id)}
@@ -226,10 +112,10 @@ const TracingPanel: FC<TracingPanelProps> = ({
               {isHovered ? <RiArrowDownSLine className="w-3 h-3" /> : <RiMenu4Line className="w-3 h-3 text-text-tertiary" />}
             </button>
             <div className="system-xs-semibold-uppercase text-text-secondary flex items-center">
-              <span>{node.parallelTitle}</span>
+              <span>{parallelDetail.parallelTitle}</span>
             </div>
             <div
-              className="mx-2 flex-grow h-px bg-divider-subtle"
+              className="mx-2 grow h-px bg-divider-subtle"
               style={{ background: 'linear-gradient(to right, rgba(16, 24, 40, 0.08), rgba(255, 255, 255, 0)' }}
             ></div>
           </div>
@@ -238,7 +124,7 @@ const TracingPanel: FC<TracingPanelProps> = ({
               'absolute top-0 bottom-0 left-[5px] w-[2px]',
               isHovered ? 'bg-text-accent-secondary' : 'bg-divider-subtle',
             )}></div>
-            {node.children.map(renderNode)}
+            {parallelDetail.children!.map(renderNode)}
           </div>
         </div>
       )
@@ -246,16 +132,15 @@ const TracingPanel: FC<TracingPanelProps> = ({
     else {
       const isHovered = hoveredParallel === node.id
       return (
-        <div key={node.uniqueId}>
+        <div key={node.id}>
           <div className={cn('pl-4 -mb-1.5 system-2xs-medium-uppercase', isHovered ? 'text-text-tertiary' : 'text-text-quaternary')}>
-            {node.branchTitle}
+            {node?.parallelDetail?.branchTitle}
           </div>
           <NodePanel
-            nodeInfo={node.data!}
-            onShowIterationDetail={onShowIterationDetail}
-            onShowRetryDetail={onShowRetryDetail}
-            justShowIterationNavArrow={true}
-            justShowRetryNavArrow={true}
+            nodeInfo={node!}
+            onShowIterationDetail={handleShowIterationResultList}
+            onShowRetryDetail={handleShowRetryResultList}
+            onShowAgentOrToolLog={handleShowAgentOrToolLog}
             hideInfo={hideNodeInfo}
             hideProcessDetail={hideNodeProcessDetail}
           />
@@ -264,8 +149,33 @@ const TracingPanel: FC<TracingPanelProps> = ({
     }
   }
 
+  if (showSpecialResultPanel) {
+    return (
+      <SpecialResultPanel
+        showRetryDetail={showRetryDetail}
+        setShowRetryDetailFalse={setShowRetryDetailFalse}
+        retryResultList={retryResultList}
+
+        showIteratingDetail={showIteratingDetail}
+        setShowIteratingDetailFalse={setShowIteratingDetailFalse}
+        iterationResultList={iterationResultList}
+        iterationResultDurationMap={iterationResultDurationMap}
+
+        agentOrToolLogItemStack={agentOrToolLogItemStack}
+        agentOrToolLogListMap={agentOrToolLogListMap}
+        handleShowAgentOrToolLog={handleShowAgentOrToolLog}
+      />
+    )
+  }
+
   return (
-    <div className={cn(className || 'bg-components-panel-bg', 'py-2')}>
+    <div
+      className={cn(className || 'bg-components-panel-bg', 'py-2')}
+      onClick={(e) => {
+        e.stopPropagation()
+        e.nativeEvent.stopImmediatePropagation()
+      }}
+    >
       {treeNodes.map(renderNode)}
     </div>
   )
diff --git a/web/app/components/workflow/run/utils/format-log/agent/data.ts b/web/app/components/workflow/run/utils/format-log/agent/data.ts
new file mode 100644
index 0000000000..a1e06bf63b
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/agent/data.ts
@@ -0,0 +1,182 @@
+import { BlockEnum } from '@/app/components/workflow/types'
+
+export const agentNodeData = (() => {
+  const node = {
+    node_type: BlockEnum.Agent,
+    execution_metadata: {
+      agent_log: [
+        { id: '1', label: 'Root 1' },
+        { id: '2', parent_id: '1', label: 'Child 1.2' },
+        { id: '3', parent_id: '1', label: 'Child 1.3' },
+        { id: '4', parent_id: '2', label: 'Child 2.4' },
+        { id: '5', parent_id: '2', label: 'Child 2.5' },
+        { id: '6', parent_id: '3', label: 'Child 3.6' },
+        { id: '7', parent_id: '4', label: 'Child 4.7' },
+        { id: '8', parent_id: '4', label: 'Child 4.8' },
+        { id: '9', parent_id: '5', label: 'Child 5.9' },
+        { id: '10', parent_id: '5', label: 'Child 5.10' },
+        { id: '11', parent_id: '7', label: 'Child 7.11' },
+        { id: '12', parent_id: '7', label: 'Child 7.12' },
+        { id: '13', parent_id: '9', label: 'Child 9.13' },
+        { id: '14', parent_id: '9', label: 'Child 9.14' },
+        { id: '15', parent_id: '9', label: 'Child 9.15' },
+      ],
+    },
+  }
+
+  return {
+    in: [node],
+    expect: [{
+      ...node,
+      agentLog: [
+        {
+          id: '1',
+          label: 'Root 1',
+          children: [
+            {
+              id: '2',
+              parent_id: '1',
+              label: 'Child 1.2',
+              children: [
+                {
+                  id: '4',
+                  parent_id: '2',
+                  label: 'Child 2.4',
+                  children: [
+                    {
+                      id: '7',
+                      parent_id: '4',
+                      label: 'Child 4.7',
+                      children: [
+                        { id: '11', parent_id: '7', label: 'Child 7.11' },
+                        { id: '12', parent_id: '7', label: 'Child 7.12' },
+                      ],
+                    },
+                    { id: '8', parent_id: '4', label: 'Child 4.8' },
+                  ],
+                },
+                {
+                  id: '5',
+                  parent_id: '2',
+                  label: 'Child 2.5',
+                  children: [
+                    {
+                      id: '9',
+                      parent_id: '5',
+                      label: 'Child 5.9',
+                      children: [
+                        { id: '13', parent_id: '9', label: 'Child 9.13' },
+                        { id: '14', parent_id: '9', label: 'Child 9.14' },
+                        { id: '15', parent_id: '9', label: 'Child 9.15' },
+                      ],
+                    },
+                    { id: '10', parent_id: '5', label: 'Child 5.10' },
+                  ],
+                },
+              ],
+            },
+            {
+              id: '3',
+              parent_id: '1',
+              label: 'Child 1.3',
+              children: [
+                { id: '6', parent_id: '3', label: 'Child 3.6' },
+              ],
+            },
+          ],
+        },
+      ],
+    }],
+  }
+})()
+
+export const oneStepCircle = (() => {
+  const node = {
+    node_type: BlockEnum.Agent,
+    execution_metadata: {
+      agent_log: [
+        { id: '1', label: 'Node 1' },
+        { id: '1', parent_id: '1', label: 'Node 1' },
+        { id: '1', parent_id: '1', label: 'Node 1' },
+        { id: '1', parent_id: '1', label: 'Node 1' },
+        { id: '1', parent_id: '1', label: 'Node 1' },
+        { id: '1', parent_id: '1', label: 'Node 1' },
+      ],
+    },
+  }
+
+  return {
+    in: [node],
+    expect: [{
+      ...node,
+      agentLog: [
+        {
+          id: '1',
+          label: 'Node 1',
+          hasCircle: true,
+          children: [],
+        },
+      ],
+    }],
+  }
+})()
+
+export const multiStepsCircle = (() => {
+  const node = {
+    node_type: BlockEnum.Agent,
+    execution_metadata: {
+      agent_log: [
+        // 1 -> [2 -> 4 -> 1, 3]
+        { id: '1', label: 'Node 1' },
+        { id: '2', parent_id: '1', label: 'Node 2' },
+        { id: '3', parent_id: '1', label: 'Node 3' },
+        { id: '4', parent_id: '2', label: 'Node 4' },
+
+        // Loop
+        { id: '1', parent_id: '4', label: 'Node 1' },
+        { id: '2', parent_id: '1', label: 'Node 2' },
+        { id: '4', parent_id: '2', label: 'Node 4' },
+        { id: '1', parent_id: '4', label: 'Node 1' },
+        { id: '2', parent_id: '1', label: 'Node 2' },
+        { id: '4', parent_id: '2', label: 'Node 4' },
+      ],
+    },
+  }
+  // 1 -> [2(4(1(2(4...)))), 3]
+  return {
+    in: [node],
+    expect: [{
+      ...node,
+      agentLog: [
+        {
+          id: '1',
+          label: 'Node 1',
+          children: [
+            {
+              id: '2',
+              parent_id: '1',
+              label: 'Node 2',
+              children: [
+                {
+                  id: '4',
+                  parent_id: '2',
+                  label: 'Node 4',
+                  children: [],
+                  hasCircle: true,
+                },
+              ],
+            },
+            {
+              id: '3',
+              parent_id: '1',
+              label: 'Node 3',
+            },
+          ],
+        },
+      ],
+    }],
+  }
+})()
+
+export const CircleNestCircle = (() => {
+})()
diff --git a/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts b/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts
new file mode 100644
index 0000000000..59cf0ce308
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts
@@ -0,0 +1,15 @@
+import format from '.'
+import { agentNodeData, multiStepsCircle, oneStepCircle } from './data'
+
+describe('agent', () => {
+  test('list should transform to tree', () => {
+    // console.log(format(agentNodeData.in as any))
+    expect(format(agentNodeData.in as any)).toEqual(agentNodeData.expect)
+  })
+
+  test('list should remove circle log item', () => {
+    // format(oneStepCircle.in as any)
+    expect(format(oneStepCircle.in as any)).toEqual(oneStepCircle.expect)
+    expect(format(multiStepsCircle.in as any)).toEqual(multiStepsCircle.expect)
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/agent/index.ts b/web/app/components/workflow/run/utils/format-log/agent/index.ts
new file mode 100644
index 0000000000..c1f3afc20a
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/agent/index.ts
@@ -0,0 +1,99 @@
+import { BlockEnum } from '@/app/components/workflow/types'
+import type { AgentLogItem, AgentLogItemWithChildren, NodeTracing } from '@/types/workflow'
+import { cloneDeep } from 'lodash-es'
+
+const supportedAgentLogNodes = [BlockEnum.Agent, BlockEnum.Tool]
+
+const remove = (node: AgentLogItemWithChildren, removeId: string) => {
+  let { children } = node
+  if (!children || children.length === 0)
+    return
+
+  const hasCircle = !!children.find(c => c.id === removeId)
+  if (hasCircle) {
+    node.hasCircle = true
+    node.children = node.children.filter(c => c.id !== removeId)
+    children = node.children
+  }
+
+  children.forEach((child) => {
+    remove(child, removeId)
+  })
+}
+
+const removeRepeatedSiblings = (list: AgentLogItemWithChildren[]) => {
+  if (!list || list.length === 0)
+    return []
+
+  const result: AgentLogItemWithChildren[] = []
+  const addedItemIds: string[] = []
+  list.forEach((item) => {
+    if (!addedItemIds.includes(item.id)) {
+      result.push(item)
+      addedItemIds.push(item.id)
+    }
+  })
+  return result
+}
+
+const removeCircleLogItem = (log: AgentLogItemWithChildren) => {
+  const newLog = cloneDeep(log)
+  newLog.children = removeRepeatedSiblings(newLog.children)
+  let { id, children } = newLog
+  if (!children || children.length === 0)
+    return log
+
+  // check one step circle
+  const hasOneStepCircle = !!children.find(c => c.id === id)
+  if (hasOneStepCircle) {
+    newLog.hasCircle = true
+    newLog.children = newLog.children.filter(c => c.id !== id)
+    children = newLog.children
+  }
+
+  children.forEach((child, index) => {
+    remove(child, id) // check multi steps circle
+    children[index] = removeCircleLogItem(child)
+  })
+  return newLog
+}
+
+const listToTree = (logs: AgentLogItem[]) => {
+  if (!logs || logs.length === 0)
+    return []
+
+  const tree: AgentLogItemWithChildren[] = []
+  logs.forEach((log) => {
+    const hasParent = !!log.parent_id
+    if (hasParent) {
+      const parent = logs.find(item => item.id === log.parent_id) as AgentLogItemWithChildren
+      if (parent) {
+        if (!parent.children)
+          parent.children = []
+        parent.children.push(log as AgentLogItemWithChildren)
+      }
+    }
+    else {
+      tree.push(log as AgentLogItemWithChildren)
+    }
+  })
+  return tree
+}
+
+const format = (list: NodeTracing[]): NodeTracing[] => {
+  const result: NodeTracing[] = list.map((item) => {
+    let treeList: AgentLogItemWithChildren[] = []
+    let removedCircleTree: AgentLogItemWithChildren[] = []
+    if (supportedAgentLogNodes.includes(item.node_type) && item.execution_metadata?.agent_log && item.execution_metadata?.agent_log.length > 0)
+      treeList = listToTree(item.execution_metadata.agent_log)
+    // console.log(JSON.stringify(treeList))
+    removedCircleTree = treeList.length > 0 ? treeList.map(t => removeCircleLogItem(t)) : []
+    item.agentLog = removedCircleTree
+
+    return item
+  })
+
+  return result
+}
+
+export default format
diff --git a/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts
new file mode 100644
index 0000000000..18758404ff
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts
@@ -0,0 +1,128 @@
+import parseDSL from './graph-to-log-struct'
+
+describe('parseDSL', () => {
+  it('should parse plain nodes correctly', () => {
+    const dsl = 'plainNode1 -> plainNode2'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: {}, status: 'succeeded' },
+      { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: {}, status: 'succeeded' },
+    ])
+  })
+
+  it('should parse retry nodes correctly', () => {
+    const dsl = '(retry, retryNode, 3)'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'succeeded' },
+      { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' },
+      { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' },
+      { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' },
+    ])
+  })
+
+  it('should parse iteration nodes correctly', () => {
+    const dsl = '(iteration, iterationNode, plainNode1 -> plainNode2)'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      { id: 'iterationNode', node_id: 'iterationNode', title: 'iterationNode', node_type: 'iteration', execution_metadata: {}, status: 'succeeded' },
+      { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0 }, status: 'succeeded' },
+      { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0 }, status: 'succeeded' },
+    ])
+  })
+
+  it('should parse parallel nodes correctly', () => {
+    const dsl = '(parallel, parallelNode, nodeA, nodeB -> nodeC)'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      { id: 'parallelNode', node_id: 'parallelNode', title: 'parallelNode', execution_metadata: { parallel_id: 'parallelNode' }, status: 'succeeded' },
+      { id: 'nodeA', node_id: 'nodeA', title: 'nodeA', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeA' }, status: 'succeeded' },
+      { id: 'nodeB', node_id: 'nodeB', title: 'nodeB', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeB' }, status: 'succeeded' },
+      { id: 'nodeC', node_id: 'nodeC', title: 'nodeC', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeB' }, status: 'succeeded' },
+    ])
+  })
+
+  // TODO
+  it('should handle nested parallel nodes', () => {
+    const dsl = '(parallel, outerParallel, (parallel, innerParallel, plainNode1 -> plainNode2) -> plainNode3)'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      {
+        id: 'outerParallel',
+        node_id: 'outerParallel',
+        title: 'outerParallel',
+        execution_metadata: { parallel_id: 'outerParallel' },
+        status: 'succeeded',
+      },
+      {
+        id: 'innerParallel',
+        node_id: 'innerParallel',
+        title: 'innerParallel',
+        execution_metadata: { parallel_id: 'outerParallel', parallel_start_node_id: 'innerParallel' },
+        status: 'succeeded',
+      },
+      {
+        id: 'plainNode1',
+        node_id: 'plainNode1',
+        title: 'plainNode1',
+        execution_metadata: {
+          parallel_id: 'innerParallel',
+          parallel_start_node_id: 'plainNode1',
+          parent_parallel_id: 'outerParallel',
+          parent_parallel_start_node_id: 'innerParallel',
+        },
+        status: 'succeeded',
+      },
+      {
+        id: 'plainNode2',
+        node_id: 'plainNode2',
+        title: 'plainNode2',
+        execution_metadata: {
+          parallel_id: 'innerParallel',
+          parallel_start_node_id: 'plainNode1',
+          parent_parallel_id: 'outerParallel',
+          parent_parallel_start_node_id: 'innerParallel',
+        },
+        status: 'succeeded',
+      },
+      {
+        id: 'plainNode3',
+        node_id: 'plainNode3',
+        title: 'plainNode3',
+        execution_metadata: {
+          parallel_id: 'outerParallel',
+          parallel_start_node_id: 'plainNode3',
+        },
+        status: 'succeeded',
+      },
+    ])
+  })
+
+  // iterations not support nested iterations
+  // it('should handle nested iterations', () => {
+  //   const dsl = '(iteration, outerIteration, (iteration, innerIteration -> plainNode1 -> plainNode2))'
+  //   const result = parseDSL(dsl)
+  //   expect(result).toEqual([
+  //     { id: 'outerIteration', node_id: 'outerIteration', title: 'outerIteration', node_type: 'iteration', execution_metadata: {}, status: 'succeeded' },
+  //     { id: 'innerIteration', node_id: 'innerIteration', title: 'innerIteration', node_type: 'iteration', execution_metadata: { iteration_id: 'outerIteration', iteration_index: 0 }, status: 'succeeded' },
+  //     { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'innerIteration', iteration_index: 0 }, status: 'succeeded' },
+  //     { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'innerIteration', iteration_index: 0 }, status: 'succeeded' },
+  //   ])
+  // })
+
+  it('should handle nested iterations within parallel nodes', () => {
+    const dsl = '(parallel, parallelNode, (iteration, iterationNode, plainNode1, plainNode2))'
+    const result = parseDSL(dsl)
+    expect(result).toEqual([
+      { id: 'parallelNode', node_id: 'parallelNode', title: 'parallelNode', execution_metadata: { parallel_id: 'parallelNode' }, status: 'succeeded' },
+      { id: 'iterationNode', node_id: 'iterationNode', title: 'iterationNode', node_type: 'iteration', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' },
+      { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0, parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' },
+      { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0, parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' },
+    ])
+  })
+
+  it('should throw an error for unknown node types', () => {
+    const dsl = '(unknown, nodeId)'
+    expect(() => parseDSL(dsl)).toThrowError('Unknown nodeType: unknown')
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts
new file mode 100644
index 0000000000..a6b20b0565
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts
@@ -0,0 +1,304 @@
+type IterationInfo = { iterationId: string; iterationIndex: number }
+type NodePlain = { nodeType: 'plain'; nodeId: string; } & Partial<IterationInfo>
+type NodeComplex = { nodeType: string; nodeId: string; params: (NodePlain | (NodeComplex & Partial<IterationInfo>) | Node[] | number)[] } & Partial<IterationInfo>
+type Node = NodePlain | NodeComplex
+
+/**
+ * Parses a DSL string into an array of node objects.
+ * @param dsl - The input DSL string.
+ * @returns An array of parsed nodes.
+ */
+function parseDSL(dsl: string): NodeData[] {
+  return convertToNodeData(parseTopLevelFlow(dsl).map(nodeStr => parseNode(nodeStr)))
+}
+
+/**
+ * Splits a top-level flow string by "->", respecting nested structures.
+ * @param dsl - The DSL string to split.
+ * @returns An array of top-level segments.
+ */
+function parseTopLevelFlow(dsl: string): string[] {
+  const segments: string[] = []
+  let buffer = ''
+  let nested = 0
+
+  for (let i = 0; i < dsl.length; i++) {
+    const char = dsl[i]
+    if (char === '(') nested++
+    if (char === ')') nested--
+    if (char === '-' && dsl[i + 1] === '>' && nested === 0) {
+      segments.push(buffer.trim())
+      buffer = ''
+      i++ // Skip the ">" character
+    }
+    else {
+      buffer += char
+    }
+  }
+  if (buffer.trim())
+    segments.push(buffer.trim())
+
+  return segments
+}
+
+/**
+ * Parses a single node string.
+ * If the node is complex (e.g., has parentheses), it extracts the node type, node ID, and parameters.
+ * @param nodeStr - The node string to parse.
+ * @param parentIterationId - The ID of the parent iteration node (if applicable).
+ * @returns A parsed node object.
+ */
+function parseNode(nodeStr: string, parentIterationId?: string): Node {
+  // Check if the node is a complex node
+  if (nodeStr.startsWith('(') && nodeStr.endsWith(')')) {
+    const innerContent = nodeStr.slice(1, -1).trim() // Remove outer parentheses
+    let nested = 0
+    let buffer = ''
+    const parts: string[] = []
+
+    // Split the inner content by commas, respecting nested parentheses
+    for (let i = 0; i < innerContent.length; i++) {
+      const char = innerContent[i]
+      if (char === '(') nested++
+      if (char === ')') nested--
+
+      if (char === ',' && nested === 0) {
+        parts.push(buffer.trim())
+        buffer = ''
+      }
+      else {
+        buffer += char
+      }
+    }
+    parts.push(buffer.trim())
+
+    // Extract nodeType, nodeId, and params
+    const [nodeType, nodeId, ...paramsRaw] = parts
+    const params = parseParams(paramsRaw, nodeType === 'iteration' ? nodeId.trim() : parentIterationId)
+    const complexNode = {
+      nodeType: nodeType.trim(),
+      nodeId: nodeId.trim(),
+      params,
+    }
+    if (parentIterationId) {
+      (complexNode as any).iterationId = parentIterationId;
+      (complexNode as any).iterationIndex = 0 // Fixed as 0
+    }
+    return complexNode
+  }
+
+  // If it's not a complex node, treat it as a plain node
+  const plainNode: NodePlain = { nodeType: 'plain', nodeId: nodeStr.trim() }
+  if (parentIterationId) {
+    plainNode.iterationId = parentIterationId
+    plainNode.iterationIndex = 0 // Fixed as 0
+  }
+  return plainNode
+}
+
+/**
+ * Parses parameters of a complex node.
+ * Supports nested flows and complex sub-nodes.
+ * Adds iteration-specific metadata recursively.
+ * @param paramParts - The parameters string split by commas.
+ * @param iterationId - The ID of the iteration node, if applicable.
+ * @returns An array of parsed parameters (plain nodes, nested nodes, or flows).
+ */
+function parseParams(paramParts: string[], iterationId?: string): (Node | Node[] | number)[] {
+  return paramParts.map((part) => {
+    if (part.includes('->')) {
+      // Parse as a flow and return an array of nodes
+      return parseTopLevelFlow(part).map(node => parseNode(node, iterationId))
+    }
+    else if (part.startsWith('(')) {
+      // Parse as a nested complex node
+      return parseNode(part, iterationId)
+    }
+    else if (!Number.isNaN(Number(part.trim()))) {
+      // Parse as a numeric parameter
+      return Number(part.trim())
+    }
+    else {
+      // Parse as a plain node
+      return parseNode(part, iterationId)
+    }
+  })
+}
+
+type NodeData = {
+  id: string;
+  node_id: string;
+  title: string;
+  node_type?: string;
+  execution_metadata: Record<string, any>;
+  status: string;
+}
+
+/**
+ * Converts a plain node to node data.
+ */
+function convertPlainNode(node: Node): NodeData[] {
+  return [
+    {
+      id: node.nodeId,
+      node_id: node.nodeId,
+      title: node.nodeId,
+      execution_metadata: {},
+      status: 'succeeded',
+    },
+  ]
+}
+
+/**
+ * Converts a retry node to node data.
+ */
+function convertRetryNode(node: Node): NodeData[] {
+  const { nodeId, iterationId, iterationIndex, params } = node as NodeComplex
+  const retryCount = params ? Number.parseInt(params[0] as unknown as string, 10) : 0
+  const result: NodeData[] = [
+    {
+      id: nodeId,
+      node_id: nodeId,
+      title: nodeId,
+      execution_metadata: {},
+      status: 'succeeded',
+    },
+  ]
+
+  for (let i = 0; i < retryCount; i++) {
+    result.push({
+      id: nodeId,
+      node_id: nodeId,
+      title: nodeId,
+      execution_metadata: iterationId ? {
+        iteration_id: iterationId,
+        iteration_index: iterationIndex || 0,
+      } : {},
+      status: 'retry',
+    })
+  }
+
+  return result
+}
+
+/**
+ * Converts an iteration node to node data.
+ */
+function convertIterationNode(node: Node): NodeData[] {
+  const { nodeId, params } = node as NodeComplex
+  const result: NodeData[] = [
+    {
+      id: nodeId,
+      node_id: nodeId,
+      title: nodeId,
+      node_type: 'iteration',
+      status: 'succeeded',
+      execution_metadata: {},
+    },
+  ]
+
+  params?.forEach((param: any) => {
+    if (Array.isArray(param)) {
+      param.forEach((childNode: Node) => {
+        const childData = convertToNodeData([childNode])
+        childData.forEach((data) => {
+          data.execution_metadata = {
+            ...data.execution_metadata,
+            iteration_id: nodeId,
+            iteration_index: 0,
+          }
+        })
+        result.push(...childData)
+      })
+    }
+  })
+
+  return result
+}
+
+/**
+ * Converts a parallel node to node data.
+ */
+function convertParallelNode(node: Node, parentParallelId?: string, parentStartNodeId?: string): NodeData[] {
+  const { nodeId, params } = node as NodeComplex
+  const result: NodeData[] = [
+    {
+      id: nodeId,
+      node_id: nodeId,
+      title: nodeId,
+      execution_metadata: {
+        parallel_id: nodeId,
+      },
+      status: 'succeeded',
+    },
+  ]
+
+  params?.forEach((param) => {
+    if (Array.isArray(param)) {
+      const startNodeId = param[0]?.nodeId
+      param.forEach((childNode: Node) => {
+        const childData = convertToNodeData([childNode])
+        childData.forEach((data) => {
+          data.execution_metadata = {
+            ...data.execution_metadata,
+            parallel_id: nodeId,
+            parallel_start_node_id: startNodeId,
+            ...(parentParallelId && {
+              parent_parallel_id: parentParallelId,
+              parent_parallel_start_node_id: parentStartNodeId,
+            }),
+          }
+        })
+        result.push(...childData)
+      })
+    }
+    else if (param && typeof param === 'object') {
+      const startNodeId = param.nodeId
+      const childData = convertToNodeData([param])
+      childData.forEach((data) => {
+        data.execution_metadata = {
+          ...data.execution_metadata,
+          parallel_id: nodeId,
+          parallel_start_node_id: startNodeId,
+          ...(parentParallelId && {
+            parent_parallel_id: parentParallelId,
+            parent_parallel_start_node_id: parentStartNodeId,
+          }),
+        }
+      })
+      result.push(...childData)
+    }
+  })
+
+  return result
+}
+
+/**
+ * Main function to convert nodes to node data.
+ */
+function convertToNodeData(nodes: Node[], parentParallelId?: string, parentStartNodeId?: string): NodeData[] {
+  const result: NodeData[] = []
+
+  nodes.forEach((node) => {
+    switch (node.nodeType) {
+      case 'plain':
+        result.push(...convertPlainNode(node))
+        break
+      case 'retry':
+        result.push(...convertRetryNode(node))
+        break
+      case 'iteration':
+        result.push(...convertIterationNode(node))
+        break
+      case 'parallel':
+        result.push(...convertParallelNode(node, parentParallelId, parentStartNodeId))
+        break
+      default:
+        throw new Error(`Unknown nodeType: ${node.nodeType}`)
+    }
+  })
+
+  return result
+}
+
+export default parseDSL
diff --git a/web/app/components/workflow/run/utils/format-log/index.spec.ts b/web/app/components/workflow/run/utils/format-log/index.spec.ts
new file mode 100644
index 0000000000..5ebaf8c20a
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/index.spec.ts
@@ -0,0 +1,10 @@
+import formatToTracingNodeList from '.'
+import { simpleIterationData } from './iteration/data'
+import { simpleRetryData } from './retry/data'
+
+describe('format api data to tracing panel data', () => {
+  test('integration', () => {
+    expect(formatToTracingNodeList(simpleIterationData.in.reverse() as any)).toEqual(simpleIterationData.expect)
+    expect(formatToTracingNodeList(simpleRetryData.in.reverse() as any)).toEqual(simpleRetryData.expect)
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/index.ts b/web/app/components/workflow/run/utils/format-log/index.ts
new file mode 100644
index 0000000000..4e8f6c33c2
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/index.ts
@@ -0,0 +1,27 @@
+import type { NodeTracing } from '@/types/workflow'
+import formatIterationNode from './iteration'
+import formatParallelNode from './parallel'
+import formatRetryNode from './retry'
+import formatAgentNode from './agent'
+import { cloneDeep } from 'lodash-es'
+
+const formatToTracingNodeList = (list: NodeTracing[], t: any) => {
+  const allItems = cloneDeep([...list]).sort((a, b) => a.index - b.index)
+  /*
+  * First handle not change list structure node
+  * Because Handle struct node will put the node in different
+  */
+  const formattedAgentList = formatAgentNode(allItems)
+  const formattedRetryList = formatRetryNode(formattedAgentList) // retry one node
+  // would change the structure of the list. Iteration and parallel can include each other.
+  const formattedIterationList = formatIterationNode(formattedRetryList, t)
+  const formattedParallelList = formatParallelNode(formattedIterationList, t)
+
+  const result = formattedParallelList
+  // console.log(allItems)
+  // console.log(result)
+
+  return result
+}
+
+export default formatToTracingNodeList
diff --git a/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts b/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts
new file mode 100644
index 0000000000..ca23c4d9ee
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts
@@ -0,0 +1,22 @@
+import format from '.'
+import graphToLogStruct from '../graph-to-log-struct'
+
+describe('iteration', () => {
+  const list = graphToLogStruct('start -> (iteration, iterationNode, plainNode1 -> plainNode2)')
+  const [startNode, iterationNode, ...iterations] = list
+  const result = format(list as any, () => { })
+  test('result should have no nodes in iteration node', () => {
+    expect((result as any).find((item: any) => !!item.execution_metadata?.iteration_id)).toBeUndefined()
+  })
+  test('iteration should put nodes in details', () => {
+    expect(result as any).toEqual([
+      startNode,
+      {
+        ...iterationNode,
+        details: [
+          [iterations[0], iterations[1]],
+        ],
+      },
+    ])
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/iteration/index.ts b/web/app/components/workflow/run/utils/format-log/iteration/index.ts
new file mode 100644
index 0000000000..d51c2315e3
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/iteration/index.ts
@@ -0,0 +1,55 @@
+import { BlockEnum } from '@/app/components/workflow/types'
+import type { NodeTracing } from '@/types/workflow'
+import formatParallelNode from '../parallel'
+function addChildrenToIterationNode(iterationNode: NodeTracing, childrenNodes: NodeTracing[]): NodeTracing {
+  const details: NodeTracing[][] = []
+  childrenNodes.forEach((item, index) => {
+    if (!item.execution_metadata) return
+    const { iteration_index = 0 } = item.execution_metadata
+    const runIndex: number = iteration_index || index
+    if (!details[runIndex])
+      details[runIndex] = []
+
+    details[runIndex].push(item)
+  })
+  return {
+    ...iterationNode,
+    details,
+  }
+}
+
+const format = (list: NodeTracing[], t: any): NodeTracing[] => {
+  const iterationNodeIds = list
+    .filter(item => item.node_type === BlockEnum.Iteration)
+    .map(item => item.node_id)
+  const iterationChildrenNodeIds = list
+    .filter(item => item.execution_metadata?.iteration_id && iterationNodeIds.includes(item.execution_metadata.iteration_id))
+    .map(item => item.node_id)
+  // move iteration children nodes to iteration node's details field
+  const result = list
+    .filter(item => !iterationChildrenNodeIds.includes(item.node_id))
+    .map((item) => {
+      if (item.node_type === BlockEnum.Iteration) {
+        const childrenNodes = list.filter(child => child.execution_metadata?.iteration_id === item.node_id)
+        const error = childrenNodes.find(child => child.status === 'failed')
+        if (error) {
+          item.status = 'failed'
+          item.error = error.error
+        }
+        const addedChildrenList = addChildrenToIterationNode(item, childrenNodes)
+        // handle parallel node in iteration node
+        if (addedChildrenList.details && addedChildrenList.details.length > 0) {
+          addedChildrenList.details = addedChildrenList.details.map((row) => {
+            return formatParallelNode(row, t)
+          })
+        }
+        return addedChildrenList
+      }
+
+      return item
+    })
+
+  return result
+}
+
+export default format
diff --git a/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts b/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts
new file mode 100644
index 0000000000..d1ce052ee8
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts
@@ -0,0 +1,39 @@
+import { cloneDeep } from 'lodash-es'
+import format from '.'
+import graphToLogStruct from '../graph-to-log-struct'
+
+describe('parallel', () => {
+  const list = graphToLogStruct('(parallel, parallelNode, nodeA, nodeB -> nodeC)')
+  const [parallelNode, ...parallelDetail] = list
+  const parallelI18n = 'PARALLEL'
+  // format will change the list...
+  const result = format(cloneDeep(list) as any, () => parallelI18n)
+
+  test('parallel should put nodes in details', () => {
+    expect(result as any).toEqual([
+      {
+        ...parallelNode,
+        parallelDetail: {
+          isParallelStartNode: true,
+          parallelTitle: `${parallelI18n}-1`,
+          children: [
+            parallelNode,
+            {
+              ...parallelDetail[0],
+              parallelDetail: {
+                branchTitle: `${parallelI18n}-1-A`,
+              },
+            },
+            {
+              ...parallelDetail[1],
+              parallelDetail: {
+                branchTitle: `${parallelI18n}-1-B`,
+              },
+            },
+            parallelDetail[2],
+          ],
+        },
+      },
+    ])
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/parallel/index.ts b/web/app/components/workflow/run/utils/format-log/parallel/index.ts
new file mode 100644
index 0000000000..245337dc0c
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/parallel/index.ts
@@ -0,0 +1,175 @@
+import { BlockEnum } from '@/app/components/workflow/types'
+import type { NodeTracing } from '@/types/workflow'
+
+function printNodeStructure(node: NodeTracing, depth: number) {
+  const indent = '  '.repeat(depth)
+  console.log(`${indent}${node.title}`)
+  if (node.parallelDetail?.children) {
+    node.parallelDetail.children.forEach((child) => {
+      printNodeStructure(child, depth + 1)
+    })
+  }
+}
+
+function addTitle({
+  list, depth, belongParallelIndexInfo,
+}: {
+  list: NodeTracing[],
+  depth: number,
+  belongParallelIndexInfo?: string,
+}, t: any) {
+  let branchIndex = 0
+  const hasMoreThanOneParallel = list.filter(node => node.parallelDetail?.isParallelStartNode).length > 1
+  list.forEach((node) => {
+    const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null
+    const parallel_start_node_id = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null
+
+    const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End
+    if (isNotInParallel)
+      return
+
+    const isParallelStartNode = node.parallelDetail?.isParallelStartNode
+
+    const parallelIndexLetter = (() => {
+      if (!isParallelStartNode || !hasMoreThanOneParallel)
+        return ''
+
+      const index = 1 + list.filter(node => node.parallelDetail?.isParallelStartNode).findIndex(item => item.node_id === node.node_id)
+      return String.fromCharCode(64 + index)
+    })()
+
+    const parallelIndexInfo = `${depth}${parallelIndexLetter}`
+
+    if (isParallelStartNode) {
+      node.parallelDetail!.isParallelStartNode = true
+      node.parallelDetail!.parallelTitle = `${t('workflow.common.parallel')}-${parallelIndexInfo}`
+    }
+
+    const isBrachStartNode = parallel_start_node_id === node.node_id
+    if (isBrachStartNode) {
+      branchIndex++
+      const branchLetter = String.fromCharCode(64 + branchIndex)
+      if (!node.parallelDetail) {
+        node.parallelDetail = {
+          branchTitle: '',
+        }
+      }
+
+      node.parallelDetail!.branchTitle = `${t('workflow.common.branch')}-${belongParallelIndexInfo}-${branchLetter}`
+    }
+
+    if (node.parallelDetail?.children && node.parallelDetail.children.length > 0) {
+      addTitle({
+        list: node.parallelDetail.children,
+        depth: depth + 1,
+        belongParallelIndexInfo: parallelIndexInfo,
+      }, t)
+    }
+  })
+}
+
+// list => group by parallel_id(parallel tree).
+const format = (list: NodeTracing[], t: any, isPrint?: boolean): NodeTracing[] => {
+  if (isPrint)
+    console.log(list)
+
+  const result: NodeTracing[] = [...list]
+  const parallelFirstNodeMap: Record<string, string> = {}
+  // list to tree by parent_parallel_start_node_id and branch by parallel_start_node_id. Each parallel may has more than one branch.
+  result.forEach((node) => {
+    const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null
+    const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null
+    const branchStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null
+    const parentParallelBranchStartNodeId = node.parent_parallel_start_node_id ?? node.execution_metadata?.parent_parallel_start_node_id ?? null
+    const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End
+    if (isNotInParallel)
+      return
+
+    const isParallelStartNode = !parallelFirstNodeMap[parallel_id]
+    if (isParallelStartNode) {
+      const selfNode = { ...node, parallelDetail: undefined }
+      node.parallelDetail = {
+        isParallelStartNode: true,
+        children: [selfNode],
+      }
+      parallelFirstNodeMap[parallel_id] = node.node_id
+      const isRootLevel = !parent_parallel_id
+      if (isRootLevel)
+        return
+
+      const parentParallelStartNode = result.find(item => item.node_id === parentParallelBranchStartNodeId)
+      // append to parent parallel start node and after the same branch
+      if (parentParallelStartNode) {
+        if (!parentParallelStartNode?.parallelDetail) {
+          parentParallelStartNode!.parallelDetail = {
+            children: [],
+          }
+        }
+        if (parentParallelStartNode!.parallelDetail.children) {
+          const sameBranchNodesLastIndex = parentParallelStartNode.parallelDetail.children.findLastIndex((node) => {
+            const currStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null
+            return currStartNodeId === parentParallelBranchStartNodeId
+          })
+          if (sameBranchNodesLastIndex !== -1)
+            parentParallelStartNode!.parallelDetail.children.splice(sameBranchNodesLastIndex + 1, 0, node)
+          else
+            parentParallelStartNode!.parallelDetail.children.push(node)
+        }
+      }
+      return
+    }
+
+    // append to parallel start node and after the same branch
+    const parallelStartNode = result.find(item => item.node_id === parallelFirstNodeMap[parallel_id])
+
+    if (parallelStartNode && parallelStartNode.parallelDetail && parallelStartNode!.parallelDetail!.children) {
+      const sameBranchNodesLastIndex = parallelStartNode.parallelDetail.children.findLastIndex((node) => {
+        const currStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null
+        return currStartNodeId === branchStartNodeId
+      })
+      if (sameBranchNodesLastIndex !== -1) {
+        parallelStartNode.parallelDetail.children.splice(sameBranchNodesLastIndex + 1, 0, node)
+      }
+      else { // new branch
+        parallelStartNode.parallelDetail.children.push(node)
+      }
+    }
+    // parallelStartNode!.parallelDetail!.children.push(node)
+  })
+
+  const filteredInParallelSubNodes = result.filter((node) => {
+    const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null
+    const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End
+    if (isNotInParallel)
+      return true
+
+    const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null
+
+    if (parent_parallel_id)
+      return false
+
+    const isParallelStartNode = node.parallelDetail?.isParallelStartNode
+    if (!isParallelStartNode)
+      return false
+
+    return true
+  })
+
+  // print node structure for debug
+  if (isPrint) {
+    filteredInParallelSubNodes.forEach((node) => {
+      const now = Date.now()
+      console.log(`----- p: ${now} start -----`)
+      printNodeStructure(node, 0)
+      console.log(`----- p: ${now} end -----`)
+    })
+  }
+
+  addTitle({
+    list: filteredInParallelSubNodes,
+    depth: 1,
+  }, t)
+
+  return filteredInParallelSubNodes
+}
+export default format
diff --git a/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts b/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts
new file mode 100644
index 0000000000..a8f46e96b1
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts
@@ -0,0 +1,21 @@
+import format from '.'
+import graphToLogStruct from '../graph-to-log-struct'
+
+describe('retry', () => {
+  // retry nodeId:1 3 times.
+  const steps = graphToLogStruct('start -> (retry, retryNode, 3)')
+  const [startNode, retryNode, ...retryDetail] = steps
+  const result = format(steps as any)
+  test('should have no retry status nodes', () => {
+    expect(result.find(item => (item as any).status === 'retry')).toBeUndefined()
+  })
+  test('should put retry nodes in retryDetail', () => {
+    expect(result).toEqual([
+      startNode,
+      {
+        ...retryNode,
+        retryDetail,
+      },
+    ])
+  })
+})
diff --git a/web/app/components/workflow/run/utils/format-log/retry/index.ts b/web/app/components/workflow/run/utils/format-log/retry/index.ts
new file mode 100644
index 0000000000..b8dd0bfa80
--- /dev/null
+++ b/web/app/components/workflow/run/utils/format-log/retry/index.ts
@@ -0,0 +1,35 @@
+import type { NodeTracing } from '@/types/workflow'
+
+const format = (list: NodeTracing[]): NodeTracing[] => {
+  const retryNodes = list.filter((item) => {
+    return item.status === 'retry'
+  })
+
+  const retryNodeIds = retryNodes.map(item => item.node_id)
+  // move retry nodes to retryDetail
+  const result = list.filter((item) => {
+    return item.status !== 'retry'
+  }).map((item) => {
+    const { execution_metadata } = item
+    const isInIteration = !!execution_metadata?.iteration_id
+    const nodeId = item.node_id
+    const isRetryBelongNode = retryNodeIds.includes(nodeId)
+
+    if (isRetryBelongNode) {
+      return {
+        ...item,
+        retryDetail: retryNodes.filter((node) => {
+          if (!isInIteration)
+            return node.node_id === nodeId
+
+          // retry node in iteration
+          return node.node_id === nodeId && node.execution_metadata?.iteration_index === execution_metadata?.iteration_index
+        }),
+      }
+    }
+    return item
+  })
+  return result
+}
+
+export default format
diff --git a/web/app/components/workflow/store.ts b/web/app/components/workflow/store.ts
index 8e9cdbfc45..6bd47eaa01 100644
--- a/web/app/components/workflow/store.ts
+++ b/web/app/components/workflow/store.ts
@@ -184,7 +184,7 @@ export const createWorkflowStore = () => {
   }
   return createStore<Shape>(set => ({
     appId: '',
-    panelWidth: localStorage.getItem('workflow-node-panel-width') ? parseFloat(localStorage.getItem('workflow-node-panel-width')!) : 420,
+    panelWidth: localStorage.getItem('workflow-node-panel-width') ? Number.parseFloat(localStorage.getItem('workflow-node-panel-width')!) : 420,
     showSingleRunPanel: false,
     setShowSingleRunPanel: showSingleRunPanel => set(() => ({ showSingleRunPanel })),
     workflowRunningData: undefined,
diff --git a/web/app/components/workflow/types.ts b/web/app/components/workflow/types.ts
index 7c61ca98fe..10df1b02b9 100644
--- a/web/app/components/workflow/types.ts
+++ b/web/app/components/workflow/types.ts
@@ -35,6 +35,7 @@ export enum BlockEnum {
   ListFilter = 'list-operator',
   IterationStart = 'iteration-start',
   Assigner = 'assigner', // is now named as VariableAssigner
+  Agent = 'agent',
 }
 
 export enum ControlMode {
diff --git a/web/app/components/workflow/update-dsl-modal.tsx b/web/app/components/workflow/update-dsl-modal.tsx
index 3eb65e68f8..fc65806487 100644
--- a/web/app/components/workflow/update-dsl-modal.tsx
+++ b/web/app/components/workflow/update-dsl-modal.tsx
@@ -38,6 +38,7 @@ import { ToastContext } from '@/app/components/base/toast'
 import { useEventEmitterContextContext } from '@/context/event-emitter'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants'
+import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks'
 
 type UpdateDSLModalProps = {
   onCancel: () => void
@@ -61,6 +62,7 @@ const UpdateDSLModal = ({
   const [showErrorModal, setShowErrorModal] = useState(false)
   const [versions, setVersions] = useState<{ importedVersion: string; systemVersion: string }>()
   const [importId, setImportId] = useState<string>()
+  const { handleCheckPluginDependencies } = usePluginDependencies()
 
   const readFile = (file: File) => {
     const reader = new FileReader()
@@ -79,7 +81,7 @@ const UpdateDSLModal = ({
       setFileContent('')
   }
 
-  const handleWorkflowUpdate = async (app_id: string) => {
+  const handleWorkflowUpdate = useCallback(async (app_id: string) => {
     const {
       graph,
       features,
@@ -122,7 +124,7 @@ const UpdateDSLModal = ({
         hash,
       },
     } as any)
-  }
+  }, [eventEmitter])
 
   const isCreatingRef = useRef(false)
   const handleImport: MouseEventHandler = useCallback(async () => {
@@ -136,6 +138,7 @@ const UpdateDSLModal = ({
         setLoading(true)
         const response = await importDSL({ mode: DSLImportMode.YAML_CONTENT, yaml_content: fileContent, app_id: appDetail.id })
         const { id, status, app_id, imported_dsl_version, current_dsl_version } = response
+
         if (status === DSLImportStatus.COMPLETED || status === DSLImportStatus.COMPLETED_WITH_WARNINGS) {
           if (!app_id) {
             notify({ type: 'error', message: t('workflow.common.importFailure') })
@@ -149,6 +152,7 @@ const UpdateDSLModal = ({
             message: t(status === DSLImportStatus.COMPLETED ? 'workflow.common.importSuccess' : 'workflow.common.importWarning'),
             children: status === DSLImportStatus.COMPLETED_WITH_WARNINGS && t('workflow.common.importWarningDetails'),
           })
+          await handleCheckPluginDependencies(app_id)
           setLoading(false)
           onCancel()
         }
@@ -169,12 +173,13 @@ const UpdateDSLModal = ({
         }
       }
     }
+    // eslint-disable-next-line unused-imports/no-unused-vars
     catch (e) {
       setLoading(false)
       notify({ type: 'error', message: t('workflow.common.importFailure') })
     }
     isCreatingRef.current = false
-  }, [currentFile, fileContent, onCancel, notify, t, eventEmitter, appDetail, onImport])
+  }, [currentFile, fileContent, onCancel, notify, t, appDetail, onImport, handleWorkflowUpdate, handleCheckPluginDependencies])
 
   const onUpdateDSLConfirm: MouseEventHandler = async () => {
     try {
@@ -192,6 +197,7 @@ const UpdateDSLModal = ({
           return
         }
         handleWorkflowUpdate(app_id)
+        await handleCheckPluginDependencies(app_id)
         if (onImport)
           onImport()
         notify({ type: 'success', message: t('workflow.common.importSuccess') })
@@ -203,6 +209,7 @@ const UpdateDSLModal = ({
         notify({ type: 'error', message: t('workflow.common.importFailure') })
       }
     }
+    // eslint-disable-next-line unused-imports/no-unused-vars
     catch (e) {
       setLoading(false)
       notify({ type: 'error', message: t('workflow.common.importFailure') })
@@ -222,12 +229,12 @@ const UpdateDSLModal = ({
             <RiCloseLine className='w-[18px] h-[18px] text-text-tertiary' />
           </div>
         </div>
-        <div className='flex relative p-2 mb-2 gap-0.5 flex-grow rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-xs overflow-hidden'>
-          <div className='absolute top-0 left-0 w-full h-full opacity-40 bg-[linear-gradient(92deg,rgba(247,144,9,0.25)_0%,rgba(255,255,255,0.00)_100%)]' />
+        <div className='flex relative p-2 mb-2 gap-0.5 grow rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-xs overflow-hidden'>
+          <div className='absolute top-0 left-0 w-full h-full opacity-40 bg-toast-warning-bg' />
           <div className='flex p-1 justify-center items-start'>
-            <RiAlertFill className='w-4 h-4 flex-shrink-0 text-text-warning-secondary' />
+            <RiAlertFill className='w-4 h-4 shrink-0 text-text-warning-secondary' />
           </div>
-          <div className='flex py-1 flex-col items-start gap-0.5 flex-grow'>
+          <div className='flex py-1 flex-col items-start gap-0.5 grow'>
             <div className='text-text-primary system-xs-medium whitespace-pre-line'>{t('workflow.common.importDSLTip')}</div>
             <div className='flex pt-1 pb-0.5 items-start gap-1 self-stretch'>
               <Button
@@ -275,7 +282,7 @@ const UpdateDSLModal = ({
       >
         <div className='flex pb-4 flex-col items-start gap-2 self-stretch'>
           <div className='text-text-primary title-2xl-semi-bold'>{t('app.newApp.appCreateDSLErrorTitle')}</div>
-          <div className='flex flex-grow flex-col text-text-secondary system-md-regular'>
+          <div className='flex grow flex-col text-text-secondary system-md-regular'>
             <div>{t('app.newApp.appCreateDSLErrorPart1')}</div>
             <div>{t('app.newApp.appCreateDSLErrorPart2')}</div>
             <br />
diff --git a/web/app/components/workflow/utils.ts b/web/app/components/workflow/utils.ts
index da2848277f..9a24c4fce0 100644
--- a/web/app/components/workflow/utils.ts
+++ b/web/app/components/workflow/utils.ts
@@ -41,6 +41,7 @@ import type { ToolNodeType } from './nodes/tool/types'
 import type { IterationNodeType } from './nodes/iteration/types'
 import { CollectionType } from '@/app/components/tools/types'
 import { toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema'
+import { correctProvider } from '@/utils'
 
 const WHITE = 'WHITE'
 const GRAY = 'GRAY'
@@ -281,6 +282,18 @@ export const initialNodes = (originNodes: Node[], originEdges: Edge[]) => {
       iterationNodeData.error_handle_mode = iterationNodeData.error_handle_mode || ErrorHandleMode.Terminated
     }
 
+    // legacy provider handle
+    if (node.data.type === BlockEnum.LLM)
+      (node as any).data.model.provider = correctProvider((node as any).data.model.provider)
+
+    if (node.data.type === BlockEnum.KnowledgeRetrieval && (node as any).data.multiple_retrieval_config.reranking_model)
+      (node as any).data.multiple_retrieval_config.reranking_model.provider = correctProvider((node as any).data.multiple_retrieval_config.reranking_model.provider)
+
+    if (node.data.type === BlockEnum.QuestionClassifier)
+      (node as any).data.model.provider = correctProvider((node as any).data.model.provider)
+
+    if (node.data.type === BlockEnum.ParameterExtractor)
+      (node as any).data.model.provider = correctProvider((node as any).data.model.provider)
     if (node.data.type === BlockEnum.HttpRequest && !node.data.retry_config) {
       node.data.retry_config = {
         retry_enabled: true,
@@ -382,6 +395,7 @@ export const canRunBySingle = (nodeType: BlockEnum) => {
     || nodeType === BlockEnum.Tool
     || nodeType === BlockEnum.ParameterExtractor
     || nodeType === BlockEnum.Iteration
+    || nodeType === BlockEnum.Agent
     || nodeType === BlockEnum.DocExtractor
 }
 
@@ -443,7 +457,7 @@ export const genNewNodeTitleFromOld = (oldTitle: string) => {
 
   if (match) {
     const title = match[1]
-    const num = parseInt(match[2], 10)
+    const num = Number.parseInt(match[2], 10)
     return `${title} (${num + 1})`
   }
   else {
diff --git a/web/app/dev-preview/page.tsx b/web/app/dev-preview/page.tsx
new file mode 100644
index 0000000000..24631aa28e
--- /dev/null
+++ b/web/app/dev-preview/page.tsx
@@ -0,0 +1,19 @@
+'use client'
+
+import { ToolTipContent } from '../components/base/tooltip/content'
+import { SwitchPluginVersion } from '../components/workflow/nodes/_base/components/switch-plugin-version'
+import { useTranslation } from 'react-i18next'
+
+export default function Page() {
+  const { t } = useTranslation()
+  return <div className="p-20">
+    <SwitchPluginVersion
+      uniqueIdentifier={'langgenius/openai:12'}
+      tooltip={<ToolTipContent
+        title={t('workflow.nodes.agent.unsupportedStrategy')}
+      >
+        {t('workflow.nodes.agent.strategyNotFoundDescAndSwitchVersion')}
+      </ToolTipContent>}
+    />
+  </div>
+}
diff --git a/web/app/layout.tsx b/web/app/layout.tsx
index da659e6467..568afeb30d 100644
--- a/web/app/layout.tsx
+++ b/web/app/layout.tsx
@@ -38,6 +38,8 @@ const LocaleLayout = ({
         className="h-full select-auto color-scheme"
         data-api-prefix={process.env.NEXT_PUBLIC_API_PREFIX}
         data-pubic-api-prefix={process.env.NEXT_PUBLIC_PUBLIC_API_PREFIX}
+        data-marketplace-api-prefix={process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX}
+        data-marketplace-url-prefix={process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX}
         data-public-edition={process.env.NEXT_PUBLIC_EDITION}
         data-public-support-mail-login={process.env.NEXT_PUBLIC_SUPPORT_MAIL_LOGIN}
         data-public-sentry-dsn={process.env.NEXT_PUBLIC_SENTRY_DSN}
diff --git a/web/app/repos/[owner]/[repo]/releases/route.ts b/web/app/repos/[owner]/[repo]/releases/route.ts
new file mode 100644
index 0000000000..29b604d94b
--- /dev/null
+++ b/web/app/repos/[owner]/[repo]/releases/route.ts
@@ -0,0 +1,36 @@
+import { type NextRequest, NextResponse } from 'next/server'
+import { Octokit } from '@octokit/core'
+import { RequestError } from '@octokit/request-error'
+import { GITHUB_ACCESS_TOKEN } from '@/config'
+
+type Params = {
+  owner: string,
+  repo: string,
+}
+
+const octokit = new Octokit({
+  auth: GITHUB_ACCESS_TOKEN,
+})
+
+export async function GET(
+  request: NextRequest,
+  { params }: { params: Promise<Params> },
+) {
+  const { owner, repo } = (await params)
+  try {
+    const releasesRes = await octokit.request('GET /repos/{owner}/{repo}/releases', {
+      owner,
+      repo,
+      headers: {
+        'X-GitHub-Api-Version': '2022-11-28',
+      },
+    })
+    return NextResponse.json(releasesRes)
+  }
+  catch (error) {
+    if (error instanceof RequestError)
+      return NextResponse.json(error.response)
+    else
+      throw error
+  }
+}
diff --git a/web/app/signin/_header.tsx b/web/app/signin/_header.tsx
index a9479a3fe4..9d03f18ac4 100644
--- a/web/app/signin/_header.tsx
+++ b/web/app/signin/_header.tsx
@@ -3,7 +3,7 @@ import React from 'react'
 import { useContext } from 'use-context-selector'
 import Select from '@/app/components/base/select/locale'
 import { languages } from '@/i18n/language'
-import { type Locale } from '@/i18n'
+import type { Locale } from '@/i18n'
 import I18n from '@/context/i18n'
 import LogoSite from '@/app/components/base/logo/logo-site'
 
diff --git a/web/app/signin/oneMoreStep.tsx b/web/app/signin/oneMoreStep.tsx
index 8554b364c0..dfb8a04781 100644
--- a/web/app/signin/oneMoreStep.tsx
+++ b/web/app/signin/oneMoreStep.tsx
@@ -13,7 +13,7 @@ import { LanguagesSupported, languages } from '@/i18n/language'
 import { oneMoreStep } from '@/service/common'
 import Toast from '@/app/components/base/toast'
 
-type IState = {
+interface IState {
   formState: 'processing' | 'error' | 'success' | 'initial'
   invitation_code: string
   interface_language: string
diff --git a/web/app/styles/globals.css b/web/app/styles/globals.css
index f2aadc5820..573523fd48 100644
--- a/web/app/styles/globals.css
+++ b/web/app/styles/globals.css
@@ -292,7 +292,7 @@ button:focus-within {
   line-height: 24px;
 }
 
-[class*='code-'] {
+[class*="code-"] {
   @apply font-mono;
 }
 
@@ -654,7 +654,7 @@ button:focus-within {
 }
 
 .text-gradient {
-  background: linear-gradient(91.58deg, #2250F2 -29.55%, #0EBCF3 75.22%);
+  background: linear-gradient(91.58deg, #2250f2 -29.55%, #0ebcf3 75.22%);
   -webkit-background-clip: text;
   -webkit-text-fill-color: transparent;
   background-clip: text;
@@ -662,7 +662,7 @@ button:focus-within {
 }
 
 /* overwrite paging active dark model style  */
-[class*=style_paginatio] li .text-primary-600 {
+[class*="style_paginatio"] li .text-primary-600 {
   color: rgb(28 100 242);
   background-color: rgb(235 245 255);
 }
@@ -675,8 +675,13 @@ button:focus-within {
   bottom: 0;
 }
 
-@import '../components/base/button/index.css';
-@import '../components/base/action-button/index.css';
-@import '../components/base/modal/index.css';
+[data-theme="dark"] [data-hide-on-theme="dark"],
+[data-theme="light"] [data-hide-on-theme="light"] {
+  display: none;
+}
+
+@import "../components/base/button/index.css";
+@import "../components/base/action-button/index.css";
+@import "../components/base/modal/index.css";
 
 @tailwind utilities;
\ No newline at end of file
diff --git a/web/config/index.ts b/web/config/index.ts
index b87c027de1..5600022ba1 100644
--- a/web/config/index.ts
+++ b/web/config/index.ts
@@ -1,10 +1,11 @@
-/* eslint-disable import/no-mutable-exports */
 import { InputVarType } from '@/app/components/workflow/types'
 import { AgentStrategy } from '@/types/app'
 import { PromptRole } from '@/models/debug'
 
 export let apiPrefix = ''
 export let publicApiPrefix = ''
+export let marketplaceApiPrefix = ''
+export let marketplaceUrlPrefix = ''
 
 // NEXT_PUBLIC_API_PREFIX=/console/api NEXT_PUBLIC_PUBLIC_API_PREFIX=/api npm run start
 if (process.env.NEXT_PUBLIC_API_PREFIX && process.env.NEXT_PUBLIC_PUBLIC_API_PREFIX) {
@@ -25,10 +26,22 @@ else {
   // const env = domainParts.length === 2 ? 'ai' : domainParts?.[0];
   apiPrefix = 'http://localhost:5001/console/api'
   publicApiPrefix = 'http://localhost:5001/api' // avoid browser private mode api cross origin
+  marketplaceApiPrefix = 'http://localhost:5002/api'
+}
+
+if (process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX && process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX) {
+  marketplaceApiPrefix = process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX
+  marketplaceUrlPrefix = process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX
+}
+else {
+  marketplaceApiPrefix = globalThis.document?.body?.getAttribute('data-marketplace-api-prefix') || ''
+  marketplaceUrlPrefix = globalThis.document?.body?.getAttribute('data-marketplace-url-prefix') || ''
 }
 
 export const API_PREFIX: string = apiPrefix
 export const PUBLIC_API_PREFIX: string = publicApiPrefix
+export const MARKETPLACE_API_PREFIX: string = marketplaceApiPrefix
+export const MARKETPLACE_URL_PREFIX: string = marketplaceUrlPrefix
 
 const EDITION = process.env.NEXT_PUBLIC_EDITION || globalThis.document?.body?.getAttribute('data-public-edition') || 'SELF_HOSTED'
 export const IS_CE_EDITION = EDITION === 'SELF_HOSTED'
@@ -251,12 +264,15 @@ export const resetReg = () => VAR_REGEX.lastIndex = 0
 export let textGenerationTimeoutMs = 60000
 
 if (process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS && process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS !== '')
-  textGenerationTimeoutMs = parseInt(process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS)
+  textGenerationTimeoutMs = Number.parseInt(process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS)
 else if (globalThis.document?.body?.getAttribute('data-public-text-generation-timeout-ms') && globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') !== '')
-  textGenerationTimeoutMs = parseInt(globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') as string)
+  textGenerationTimeoutMs = Number.parseInt(globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') as string)
 
 export const TEXT_GENERATION_TIMEOUT_MS = textGenerationTimeoutMs
 
 export const DISABLE_UPLOAD_IMAGE_AS_ICON = process.env.NEXT_PUBLIC_DISABLE_UPLOAD_IMAGE_AS_ICON === 'true'
 
+export const GITHUB_ACCESS_TOKEN = process.env.NEXT_PUBLIC_GITHUB_ACCESS_TOKEN || ''
+
+export const SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS = '.difypkg,.difybndl'
 export const FULL_DOC_PREVIEW_LENGTH = 50
diff --git a/web/context/app-context.tsx b/web/context/app-context.tsx
index 7addfb83d4..3d6acc55a3 100644
--- a/web/context/app-context.tsx
+++ b/web/context/app-context.tsx
@@ -66,6 +66,7 @@ const AppContext = createContext<AppContextValue>({
     name: '',
     email: '',
     avatar: '',
+    avatar_url: '',
     is_password_set: false,
   },
   currentWorkspace: initialWorkspaceInfo,
diff --git a/web/context/modal-context.tsx b/web/context/modal-context.tsx
index 2dfc08cf88..622077ee91 100644
--- a/web/context/modal-context.tsx
+++ b/web/context/modal-context.tsx
@@ -31,6 +31,8 @@ import ModelLoadBalancingModal from '@/app/components/header/account-setting/mod
 import OpeningSettingModal from '@/app/components/base/features/new-feature-panel/conversation-opener/modal'
 import type { OpeningStatement } from '@/app/components/base/features/types'
 import type { InputVar } from '@/app/components/workflow/types'
+import type { UpdatePluginPayload } from '@/app/components/plugins/types'
+import UpdatePlugin from '@/app/components/plugins/update-plugin'
 
 export type ModalState<T> = {
   payload: T
@@ -52,6 +54,7 @@ export type LoadBalancingEntryModalType = ModelModalType & {
   entry?: ModelLoadBalancingConfigEntry
   index?: number
 }
+
 export type ModalContextState = {
   setShowAccountSettingModal: Dispatch<SetStateAction<ModalState<string> | null>>
   setShowApiBasedExtensionModal: Dispatch<SetStateAction<ModalState<ApiBasedExtension> | null>>
@@ -68,6 +71,7 @@ export type ModalContextState = {
     workflowVariables?: InputVar[]
     onAutoAddPromptVariable?: (variable: PromptVariable[]) => void
   }> | null>>
+  setShowUpdatePluginModal: Dispatch<SetStateAction<ModalState<UpdatePluginPayload> | null>>
 }
 const ModalContext = createContext<ModalContextState>({
   setShowAccountSettingModal: () => { },
@@ -81,13 +85,13 @@ const ModalContext = createContext<ModalContextState>({
   setShowModelLoadBalancingModal: () => { },
   setShowModelLoadBalancingEntryModal: () => { },
   setShowOpeningModal: () => { },
+  setShowUpdatePluginModal: () => { },
 })
 
 export const useModalContext = () => useContext(ModalContext)
 
 // Adding a dangling comma to avoid the generic parsing issue in tsx, see:
 // https://github.com/microsoft/TypeScript/issues/15713
-// eslint-disable-next-line @typescript-eslint/comma-dangle
 export const useModalContextSelector = <T,>(selector: (state: ModalContextState) => T): T =>
   useContextSelector(ModalContext, selector)
 
@@ -110,6 +114,8 @@ export const ModalContextProvider = ({
     workflowVariables?: InputVar[]
     onAutoAddPromptVariable?: (variable: PromptVariable[]) => void
   }> | null>(null)
+  const [showUpdatePluginModal, setShowUpdatePluginModal] = useState<ModalState<UpdatePluginPayload> | null>(null)
+
   const searchParams = useSearchParams()
   const router = useRouter()
   const [showPricingModal, setShowPricingModal] = useState(searchParams.get('show-pricing') === '1')
@@ -229,6 +235,7 @@ export const ModalContextProvider = ({
       setShowModelLoadBalancingModal,
       setShowModelLoadBalancingEntryModal,
       setShowOpeningModal,
+      setShowUpdatePluginModal,
     }}>
       <>
         {children}
@@ -339,6 +346,22 @@ export const ModalContextProvider = ({
             onAutoAddPromptVariable={showOpeningModal.payload.onAutoAddPromptVariable}
           />
         )}
+
+        {
+          !!showUpdatePluginModal && (
+            <UpdatePlugin
+              {...showUpdatePluginModal.payload}
+              onCancel={() => {
+                setShowUpdatePluginModal(null)
+                showUpdatePluginModal.onCancelCallback?.()
+              }}
+              onSave={() => {
+                setShowUpdatePluginModal(null)
+                showUpdatePluginModal.onSaveCallback?.({} as any)
+              }}
+            />
+          )
+        }
       </>
     </ModalContext.Provider>
   )
diff --git a/web/context/provider-context.tsx b/web/context/provider-context.tsx
index 913a95d6a1..0ac81278a2 100644
--- a/web/context/provider-context.tsx
+++ b/web/context/provider-context.tsx
@@ -25,6 +25,7 @@ import Toast from '@/app/components/base/toast'
 
 type ProviderContextState = {
   modelProviders: ModelProvider[]
+  refreshModelProviders: () => void
   textGenerationModelList: Model[]
   supportRetrievalMethods: RETRIEVE_METHOD[]
   isAPIKeySet: boolean
@@ -42,6 +43,7 @@ type ProviderContextState = {
 }
 const ProviderContext = createContext<ProviderContextState>({
   modelProviders: [],
+  refreshModelProviders: () => { },
   textGenerationModelList: [],
   supportRetrievalMethods: [],
   isAPIKeySet: true,
@@ -74,7 +76,6 @@ export const useProviderContext = () => useContext(ProviderContext)
 
 // Adding a dangling comma to avoid the generic parsing issue in tsx, see:
 // https://github.com/microsoft/TypeScript/issues/15713
-// eslint-disable-next-line @typescript-eslint/comma-dangle
 export const useProviderContextSelector = <T,>(selector: (state: ProviderContextState) => T): T =>
   useContextSelector(ProviderContext, selector)
 
@@ -84,7 +85,7 @@ type ProviderContextProviderProps = {
 export const ProviderContextProvider = ({
   children,
 }: ProviderContextProviderProps) => {
-  const { data: providersData } = useSWR('/workspaces/current/model-providers', fetchModelProviders)
+  const { data: providersData, mutate: refreshModelProviders } = useSWR('/workspaces/current/model-providers', fetchModelProviders)
   const fetchModelListUrlPrefix = '/workspaces/current/models/model-types/'
   const { data: textGenerationModelList } = useSWR(`${fetchModelListUrlPrefix}${ModelTypeEnum.textGeneration}`, fetchModelList)
   const { data: supportRetrievalMethods } = useSWR('/datasets/retrieval-setting', fetchSupportRetrievalMethods)
@@ -143,6 +144,7 @@ export const ProviderContextProvider = ({
   return (
     <ProviderContext.Provider value={{
       modelProviders: providersData?.data || [],
+      refreshModelProviders,
       textGenerationModelList: textGenerationModelList?.data || [],
       isAPIKeySet: !!textGenerationModelList?.data.some(model => model.status === ModelStatusEnum.active),
       supportRetrievalMethods: supportRetrievalMethods?.retrieval_method || [],
diff --git a/web/docker/entrypoint.sh b/web/docker/entrypoint.sh
index bad95b6cbe..409916b27c 100755
--- a/web/docker/entrypoint.sh
+++ b/web/docker/entrypoint.sh
@@ -16,6 +16,8 @@ export NEXT_PUBLIC_DEPLOY_ENV=${DEPLOY_ENV}
 export NEXT_PUBLIC_EDITION=${EDITION}
 export NEXT_PUBLIC_API_PREFIX=${CONSOLE_API_URL}/console/api
 export NEXT_PUBLIC_PUBLIC_API_PREFIX=${APP_API_URL}/api
+export NEXT_PUBLIC_MARKETPLACE_API_PREFIX=${MARKETPLACE_API_URL}/api/v1
+export NEXT_PUBLIC_MARKETPLACE_URL_PREFIX=${MARKETPLACE_URL}
 
 export NEXT_PUBLIC_SENTRY_DSN=${SENTRY_DSN}
 export NEXT_PUBLIC_SITE_ABOUT=${SITE_ABOUT}
diff --git a/web/eslint.config.mjs b/web/eslint.config.mjs
new file mode 100644
index 0000000000..58dec4999e
--- /dev/null
+++ b/web/eslint.config.mjs
@@ -0,0 +1,183 @@
+import {
+  GLOB_TESTS, combine, javascript, node,
+  stylistic, typescript, unicorn,
+} from '@antfu/eslint-config'
+import path from 'node:path'
+import { fileURLToPath } from 'node:url'
+import js from '@eslint/js'
+import { FlatCompat } from '@eslint/eslintrc'
+import globals from 'globals'
+import storybook from 'eslint-plugin-storybook'
+import { fixupConfigRules } from '@eslint/compat'
+import tailwind from 'eslint-plugin-tailwindcss'
+
+const __filename = fileURLToPath(import.meta.url)
+const __dirname = path.dirname(__filename)
+const compat = new FlatCompat({
+  baseDirectory: __dirname,
+  recommendedConfig: js.configs.recommended,
+  allConfig: js.configs.all,
+})
+
+export default combine(
+  stylistic({
+    lessOpinionated: true,
+    // original @antfu/eslint-config does not support jsx
+    jsx: false,
+    semi: false,
+    quotes: 'single',
+    overrides: {
+      // original config
+      'style/indent': ['error', 2],
+      'style/quotes': ['error', 'single'],
+      'curly': ['error', 'multi-or-nest', 'consistent'],
+      'style/comma-spacing': ['error', { before: false, after: true }],
+      'style/quote-props': ['warn', 'consistent-as-needed'],
+
+      // these options does not exist in old version
+      // maybe useless
+      'style/indent-binary-ops': 'off',
+      'style/multiline-ternary': 'off',
+      'antfu/top-level-function': 'off',
+      'antfu/curly': 'off',
+      'antfu/consistent-chaining': 'off',
+
+      // copy from eslint-config-antfu 0.36.0
+      'style/brace-style': ['error', 'stroustrup', { allowSingleLine: true }],
+      'style/dot-location': ['error', 'property'],
+      'style/object-curly-newline': ['error', { consistent: true, multiline: true }],
+      'style/object-property-newline': ['error', { allowMultiplePropertiesPerLine: true }],
+      'style/template-curly-spacing': ['error', 'never'],
+      'style/keyword-spacing': 'off',
+
+      // not exist in old version, and big change
+      'style/member-delimiter-style': 'off',
+    },
+  }),
+  javascript({
+    overrides: {
+      // handled by unused-imports/no-unused-vars
+      'no-unused-vars': 'off',
+    },
+  }),
+  typescript({
+    overrides: {
+      // original config
+      'ts/consistent-type-definitions': ['warn', 'type'],
+
+      // useful, but big change
+      'ts/no-empty-object-type': 'off',
+    },
+  }),
+  unicorn(),
+  node(),
+  // use nextjs config will break @eslint/config-inspector
+  // use `ESLINT_CONFIG_INSPECTOR=true pnpx @eslint/config-inspector` to check the config
+  ...process.env.ESLINT_CONFIG_INSPECTOR
+    ? []
+    // TODO: remove this when upgrade to nextjs 15
+    : fixupConfigRules(compat.extends('next')),
+  {
+    rules: {
+      // performance issue, and not used.
+      '@next/next/no-html-link-for-pages': 'off',
+    },
+  },
+  {
+    ignores: [
+      '**/node_modules/*',
+      '**/node_modules/',
+      '**/dist/',
+      '**/build/',
+      '**/out/',
+      '**/.next/',
+      '**/public/*',
+      '**/*.json',
+    ],
+  },
+  {
+    // orignal config
+    rules: {
+      // orignal ts/no-var-requires
+      'ts/no-require-imports': 'off',
+      'no-console': 'off',
+      'react-hooks/exhaustive-deps': 'warn',
+      'react/display-name': 'off',
+      'array-callback-return': ['error', {
+        allowImplicit: false,
+        checkForEach: false,
+      }],
+
+      // copy from eslint-config-antfu 0.36.0
+      'camelcase': 'off',
+      'default-case-last': 'error',
+
+      // antfu use eslint-plugin-perfectionist to replace this
+      // will cause big change, so keep the original sort-imports
+      'sort-imports': [
+        'error',
+        {
+          ignoreCase: false,
+          ignoreDeclarationSort: true,
+          ignoreMemberSort: false,
+          memberSyntaxSortOrder: ['none', 'all', 'multiple', 'single'],
+          allowSeparatedGroups: false,
+        },
+      ],
+
+      // antfu migrate to eslint-plugin-unused-imports
+      'unused-imports/no-unused-vars': 'warn',
+      'unused-imports/no-unused-imports': 'warn',
+    },
+
+    languageOptions: {
+      globals: {
+        ...globals.browser,
+        ...globals.es2025,
+        ...globals.node,
+        React: 'readable',
+        JSX: 'readable',
+      },
+    },
+  },
+  storybook.configs['flat/recommended'],
+  // need futher research
+  {
+    rules: {
+      // not exist in old version
+      'antfu/consistent-list-newline': 'off',
+      'node/prefer-global/process': 'off',
+      'node/prefer-global/buffer': 'off',
+      'node/no-callback-literal': 'off',
+
+      // useful, but big change
+      'unicorn/prefer-number-properties': 'warn',
+      'unicorn/no-new-array': 'warn',
+    },
+  },
+  // suppress error for `no-undef` rule
+  {
+    files: GLOB_TESTS,
+    languageOptions: {
+      globals: {
+        ...globals.browser,
+        ...globals.es2021,
+        ...globals.node,
+        ...globals.jest,
+      },
+    },
+  },
+  tailwind.configs['flat/recommended'],
+  {
+    rules: {
+      // due to 1k lines of tailwind config, these rule have performance issue
+      'tailwindcss/no-contradicting-classname': 'off',
+      'tailwindcss/no-unnecessary-arbitrary-value': 'off',
+      'tailwindcss/enforces-shorthand': 'off',
+      'tailwindcss/no-custom-classname': 'off',
+
+      // in the future
+      'tailwindcss/classnames-order': 'off',
+    },
+  },
+)
diff --git a/web/hooks/use-i18n.ts b/web/hooks/use-i18n.ts
new file mode 100644
index 0000000000..d95ef0d114
--- /dev/null
+++ b/web/hooks/use-i18n.ts
@@ -0,0 +1,15 @@
+import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks'
+
+export const renderI18nObject = (obj: Record<string, string>, language: string) => {
+  if (!obj) return ''
+  if (obj?.[language]) return obj[language]
+  if (obj?.en_US) return obj.en_US
+  return Object.values(obj)[0]
+}
+
+export const useRenderI18nObject = () => {
+  const language = useLanguage()
+  return (obj: Record<string, string>) => {
+    return renderI18nObject(obj, language)
+  }
+}
diff --git a/web/hooks/use-metadata.ts b/web/hooks/use-metadata.ts
index 92eb733e35..9a078e639a 100644
--- a/web/hooks/use-metadata.ts
+++ b/web/hooks/use-metadata.ts
@@ -9,22 +9,22 @@ export type metadataType = DocType | 'originInfo' | 'technicalParameters'
 
 type MetadataMap =
     Record<
-    metadataType,
-    {
-      text: string
-      allowEdit?: boolean
-      icon?: React.ReactNode
-      iconName?: string
-      subFieldsMap: Record<
-      string,
+      metadataType,
       {
-        label: string
-        inputType?: inputType
-        field?: string
-        render?: (value: any, total?: number) => React.ReactNode | string
+        text: string
+        allowEdit?: boolean
+        icon?: React.ReactNode
+        iconName?: string
+        subFieldsMap: Record<
+          string,
+          {
+            label: string
+            inputType?: inputType
+            field?: string
+            render?: (value: any, total?: number) => React.ReactNode | string
+          }
+        >
       }
-      >
-    }
     >
 
 const fieldPrefix = 'datasetDocuments.metadata.field'
diff --git a/web/hooks/use-mitt.ts b/web/hooks/use-mitt.ts
new file mode 100644
index 0000000000..b9094bc262
--- /dev/null
+++ b/web/hooks/use-mitt.ts
@@ -0,0 +1,74 @@
+import type { Emitter, EventType, Handler, WildcardHandler } from 'mitt'
+import create from 'mitt'
+import { useEffect, useRef } from 'react'
+
+const merge = <T extends Record<string, any>>(
+  ...args: Array<T | undefined>
+): T => {
+  return Object.assign({}, ...args)
+}
+
+export type _Events = Record<EventType, unknown>
+
+export type UseSubcribeOption = {
+  /**
+     * Whether the subscription is enabled.
+     * @default true
+     */
+  enabled: boolean;
+}
+
+export type ExtendedOn<Events extends _Events> = {
+  <Key extends keyof Events>(
+    type: Key,
+    handler: Handler<Events[Key]>,
+    options?: UseSubcribeOption,
+  ): void;
+  (
+    type: '*',
+    handler: WildcardHandler<Events>,
+    option?: UseSubcribeOption,
+  ): void;
+}
+
+export type UseMittReturn<Events extends _Events> = {
+  useSubcribe: ExtendedOn<Events>;
+  emit: Emitter<Events>['emit'];
+}
+
+const defaultSubcribeOption: UseSubcribeOption = {
+  enabled: true,
+}
+
+function useMitt<Events extends _Events>(
+  mitt?: Emitter<Events>,
+): UseMittReturn<Events> {
+  const emitterRef = useRef<Emitter<Events>>()
+  if (!emitterRef.current)
+    emitterRef.current = mitt ?? create<Events>()
+
+  if (mitt && emitterRef.current !== mitt) {
+    emitterRef.current.off('*')
+    emitterRef.current = mitt
+  }
+  const emitter = emitterRef.current
+  const useSubcribe: ExtendedOn<Events> = (
+    type: string,
+    handler: any,
+    option?: UseSubcribeOption,
+  ) => {
+    const { enabled } = merge(defaultSubcribeOption, option)
+    useEffect(() => {
+      if (enabled) {
+        emitter.on(type, handler)
+        return () => emitter.off(type, handler)
+      }
+    })
+  }
+  return {
+    emit: emitter.emit,
+    useSubcribe,
+  }
+}
+
+export { useMitt }
diff --git a/web/hooks/use-pay.tsx b/web/hooks/use-pay.tsx
index 344f03955c..3ba23b6763 100644
--- a/web/hooks/use-pay.tsx
+++ b/web/hooks/use-pay.tsx
@@ -4,11 +4,8 @@ import { useCallback, useEffect, useState } from 'react'
 import { useRouter, useSearchParams } from 'next/navigation'
 import { useTranslation } from 'react-i18next'
 import useSWR from 'swr'
-import { useContext } from 'use-context-selector'
-import I18n from '@/context/i18n'
 import {
   fetchDataSourceNotionBinding,
-  fetchFreeQuotaVerify,
 } from '@/service/common'
 import type { IConfirm } from '@/app/components/base/confirm'
 import Confirm from '@/app/components/base/confirm'
@@ -53,66 +50,6 @@ export const useBillingPay = () => {
   return confirm
 }
 
-const QUOTA_RECEIVE_STATUS: Record<string, any> = {
-  spark: {
-    success: {
-      'en': 'Successful collection, the quota will be automatically increased after 5 minutes.',
-      'zh-Hans': '领取成功，将在 5 分钟后自动增加配额',
-    },
-    fail: {
-      'en': 'Failure to collect',
-      'zh-Hans': '领取失败',
-    },
-  },
-  zhipuai: {
-    success: {
-      'en': 'Successful collection',
-      'zh-Hans': '领取成功',
-    },
-    fail: {
-      'en': 'Failure to collect',
-      'zh-Hans': '领取失败',
-    },
-  },
-}
-
-const FREE_CHECK_PROVIDER = ['spark', 'zhipuai']
-export const useCheckFreeQuota = () => {
-  const { locale } = useContext(I18n)
-  const router = useRouter()
-  const [shouldVerify, setShouldVerify] = useState(false)
-  const searchParams = useSearchParams()
-  const type = searchParams.get('type')
-  const provider = searchParams.get('provider')
-  const result = searchParams.get('result')
-  const token = searchParams.get('token')
-
-  const { data, error } = useSWR(
-    shouldVerify
-      ? `/workspaces/current/model-providers/${provider}/free-quota-qualification-verify?token=${token}`
-      : null,
-    fetchFreeQuotaVerify,
-  )
-
-  useEffect(() => {
-    if (error)
-      router.replace('/')
-  }, [error, router])
-
-  useEffect(() => {
-    if (type === 'provider_apply_callback' && FREE_CHECK_PROVIDER.includes(provider as string) && result === 'success')
-      setShouldVerify(true)
-  }, [type, provider, result])
-
-  return (data && provider)
-    ? {
-      type: data.flag ? 'info' : 'warning',
-      title: data.flag ? QUOTA_RECEIVE_STATUS[provider as string].success[locale] : QUOTA_RECEIVE_STATUS[provider].fail[locale],
-      desc: !data.flag ? data.reason : undefined,
-    }
-    : null
-}
-
 export const useCheckNotion = () => {
   const router = useRouter()
   const [confirm, setConfirm] = useState<ConfirmType | null>(null)
@@ -154,7 +91,6 @@ export const CheckModal = () => {
   const { t } = useTranslation()
   const [showPayStatusModal, setShowPayStatusModal] = useState(true)
   const anthropicConfirmInfo = useAnthropicCheckPay()
-  const freeQuotaConfirmInfo = useCheckFreeQuota()
   const notionConfirmInfo = useCheckNotion()
   const billingConfirmInfo = useBillingPay()
 
@@ -163,7 +99,7 @@ export const CheckModal = () => {
     router.replace('/')
   }, [router])
 
-  const confirmInfo = anthropicConfirmInfo || freeQuotaConfirmInfo || notionConfirmInfo || billingConfirmInfo
+  const confirmInfo = anthropicConfirmInfo || notionConfirmInfo || billingConfirmInfo
 
   if (!confirmInfo || !showPayStatusModal)
     return null
@@ -176,7 +112,7 @@ export const CheckModal = () => {
       showCancel={false}
       type={confirmInfo.type === 'info' ? 'info' : 'warning' }
       title={confirmInfo.title}
-      content={(confirmInfo as { desc: string }).desc || ''}
+      content={(confirmInfo as unknown as { desc: string }).desc || ''}
       confirmText={(confirmInfo.type === 'info' && t('common.operation.ok')) || ''}
     />
   )
diff --git a/web/hooks/use-timestamp.ts b/web/hooks/use-timestamp.ts
index 05cc48eaad..5242eb565a 100644
--- a/web/hooks/use-timestamp.ts
+++ b/web/hooks/use-timestamp.ts
@@ -15,7 +15,11 @@ const useTimestamp = () => {
     return dayjs.unix(value).tz(timezone).format(format)
   }, [timezone])
 
-  return { formatTime }
+  const formatDate = useCallback((value: string, format: string) => {
+    return dayjs(value).tz(timezone).format(format)
+  }, [timezone])
+
+  return { formatTime, formatDate }
 }
 
 export default useTimestamp
diff --git a/web/i18n/de-DE/plugin-tags.ts b/web/i18n/de-DE/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/de-DE/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/de-DE/plugin.ts b/web/i18n/de-DE/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/de-DE/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/en-US/app-debug.ts b/web/i18n/en-US/app-debug.ts
index 9c1b883871..6d9e6d9a45 100644
--- a/web/i18n/en-US/app-debug.ts
+++ b/web/i18n/en-US/app-debug.ts
@@ -103,7 +103,7 @@ const translation = {
       edit: 'Edit annotation',
     },
     dataSet: {
-      title: 'Context',
+      title: 'Knowledge',
       noData: 'You can import Knowledge as context',
       words: 'Words',
       textBlocks: 'Text Blocks',
diff --git a/web/i18n/en-US/app.ts b/web/i18n/en-US/app.ts
index 343b01e9b5..27279130b1 100644
--- a/web/i18n/en-US/app.ts
+++ b/web/i18n/en-US/app.ts
@@ -173,6 +173,12 @@ const translation = {
       removeConfirmContent: 'The current configuration is in use, removing it will turn off the Tracing feature.',
     },
   },
+  appSelector: {
+    label: 'APP',
+    placeholder: 'Select an app...',
+    params: 'APP PARAMETERS',
+    noParams: 'No parameters needed',
+  },
   showMyCreatedAppsOnly: 'Created by me',
 }
 
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index 76f0c2e54b..0be14d0587 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -23,9 +23,11 @@ const translation = {
     remove: 'Remove',
     send: 'Send',
     copy: 'Copy',
+    copied: 'Copied',
     lineBreak: 'Line break',
     sure: 'I\'m sure',
     download: 'Download',
+    viewDetails: 'View Details',
     delete: 'Delete',
     deleteApp: 'Delete App',
     settings: 'Settings',
@@ -39,13 +41,14 @@ const translation = {
     duplicate: 'Duplicate',
     rename: 'Rename',
     audioSourceUnavailable: 'AudioSource is unavailable',
+    close: 'Close',
     copyImage: 'Copy Image',
     imageCopied: 'Image copied',
     zoomOut: 'Zoom Out',
     zoomIn: 'Zoom In',
     openInNewTab: 'Open in new tab',
+    in: 'in',
     saveAndRegenerate: 'Save & Regenerate Child Chunks',
-    close: 'Close',
     view: 'View',
     viewMore: 'VIEW MORE',
     regenerate: 'Regenerate',
@@ -127,12 +130,15 @@ const translation = {
       Custom: 'Custom',
     },
     addMoreModel: 'Go to settings to add more models',
+    settingsLink: 'Model Provider Settings',
+    capabilities: 'MultiModal Capabilities',
   },
   menus: {
     status: 'beta',
     explore: 'Explore',
     apps: 'Studio',
     plugins: 'Plugins',
+    exploreMarketplace: 'Explore Marketplace',
     pluginsTips: 'Integrate third-party plugins or create ChatGPT-compatible AI-Plugins.',
     datasets: 'Knowledge',
     datasetsTips: 'COMING SOON: Import your own text data or write data in real-time via Webhook for LLM context enhancement.',
@@ -155,6 +161,7 @@ const translation = {
   settings: {
     accountGroup: 'GENERAL',
     workplaceGroup: 'WORKSPACE',
+    generalGroup: 'GENERAL',
     account: 'My account',
     members: 'Members',
     billing: 'Billing',
@@ -304,7 +311,7 @@ const translation = {
     },
   },
   modelProvider: {
-    notConfigured: 'The system model has not yet been fully configured, and some functions may be unavailable.',
+    notConfigured: 'The system model has not yet been fully configured',
     systemModelSettings: 'System Model Settings',
     systemModelSettingsLink: 'Why is it necessary to set up a system model?',
     selectModel: 'Select your model',
@@ -402,6 +409,12 @@ const translation = {
     loadBalancingLeastKeyWarning: 'To enable load balancing at least 2 keys must be enabled.',
     loadBalancingInfo: 'By default, load balancing uses the Round-robin strategy. If rate limiting is triggered, a 1-minute cooldown period will be applied.',
     upgradeForLoadBalancing: 'Upgrade your plan to enable Load Balancing.',
+    toBeConfigured: 'To be configured',
+    configureTip: 'Set up api-key or add model to use',
+    installProvider: 'Install model providers',
+    discoverMore: 'Discover more in ',
+    emptyProviderTitle: 'Model provider not set up',
+    emptyProviderTip: 'Please install a model provider first.',
   },
   dataSource: {
     add: 'Add a data source',
diff --git a/web/i18n/en-US/dataset-creation.ts b/web/i18n/en-US/dataset-creation.ts
index 8490896e3b..0ee75c2faa 100644
--- a/web/i18n/en-US/dataset-creation.ts
+++ b/web/i18n/en-US/dataset-creation.ts
@@ -1,8 +1,7 @@
 const translation = {
   steps: {
     header: {
-      creation: 'Create Knowledge',
-      update: 'Add data',
+      fallbackRoute: 'Knowledge',
     },
     one: 'Data Source',
     two: 'Document Processing',
diff --git a/web/i18n/en-US/plugin-tags.ts b/web/i18n/en-US/plugin-tags.ts
new file mode 100644
index 0000000000..d2177b2848
--- /dev/null
+++ b/web/i18n/en-US/plugin-tags.ts
@@ -0,0 +1,25 @@
+const translation = {
+  allTags: 'All Tags',
+  searchTags: 'Search Tags',
+  tags: {
+    agent: 'Agent',
+    search: 'Search',
+    image: 'Image',
+    videos: 'Videos',
+    weather: 'Weather',
+    finance: 'Finance',
+    design: 'Design',
+    travel: 'Travel',
+    social: 'Social',
+    news: 'News',
+    medical: 'Medical',
+    productivity: 'Productivity',
+    education: 'Education',
+    business: 'Business',
+    entertainment: 'Entertainment',
+    utilities: 'Utilities',
+    other: 'Other',
+  },
+}
+
+export default translation
diff --git a/web/i18n/en-US/plugin.ts b/web/i18n/en-US/plugin.ts
new file mode 100644
index 0000000000..f302d81c47
--- /dev/null
+++ b/web/i18n/en-US/plugin.ts
@@ -0,0 +1,209 @@
+const translation = {
+  category: {
+    all: 'All',
+    models: 'Models',
+    tools: 'Tools',
+    agents: 'Agent Strategies',
+    extensions: 'Extensions',
+    bundles: 'Bundles',
+  },
+  categorySingle: {
+    model: 'Model',
+    tool: 'Tool',
+    agent: 'Agent Strategy',
+    extension: 'Extension',
+    bundle: 'Bundle',
+  },
+  search: 'Search',
+  allCategories: 'All Categories',
+  searchCategories: 'Search Categories',
+  searchPlugins: 'Search plugins',
+  from: 'From',
+  findMoreInMarketplace: 'Find more in Marketplace',
+  searchInMarketplace: 'Search in Marketplace',
+  fromMarketplace: 'From Marketplace',
+  endpointsEnabled: '{{num}} sets of endpoints enabled',
+  searchTools: 'Search tools...',
+  installPlugin: 'Install plugin',
+  installFrom: 'INSTALL FROM',
+  list: {
+    noInstalled: 'No plugins installed',
+    notFound: 'No plugins found',
+    source: {
+      marketplace: 'Install from Marketplace',
+      github: 'Install from GitHub',
+      local: 'Install from Local Package File',
+    },
+  },
+  source: {
+    marketplace: 'Marketplace',
+    github: 'GitHub',
+    local: 'Local Package File',
+  },
+  detailPanel: {
+    switchVersion: 'Switch Version',
+    categoryTip: {
+      marketplace: 'Installed from Marketplace',
+      github: 'Installed from Github',
+      local: 'Local Plugin',
+      debugging: 'Debugging Plugin',
+    },
+    operation: {
+      install: 'Install',
+      detail: 'Details',
+      update: 'Update',
+      info: 'Plugin Info',
+      checkUpdate: 'Check Update',
+      viewDetail: 'View Detail',
+      remove: 'Remove',
+    },
+    actionNum: '{{num}} {{action}} INCLUDED',
+    strategyNum: '{{num}} {{strategy}} INCLUDED',
+    endpoints: 'Endpoints',
+    endpointsTip: 'This plugin provides specific functionalities via endpoints, and you can configure multiple endpoint sets for current workspace.',
+    endpointsDocLink: 'View the document',
+    endpointsEmpty: 'Click the \'+\' button to add an endpoint',
+    endpointDisableTip: 'Disable Endpoint',
+    endpointDisableContent: 'Would you like to disable {{name}}? ',
+    endpointDeleteTip: 'Remove Endpoint',
+    endpointDeleteContent: 'Would you like to remove {{name}}? ',
+    endpointModalTitle: 'Setup endpoint',
+    endpointModalDesc: 'Once configured, the features provided by the plugin via API endpoints can be used.',
+    serviceOk: 'Service OK',
+    disabled: 'Disabled',
+    modelNum: '{{num}} MODELS INCLUDED',
+    toolSelector: {
+      title: 'Add tool',
+      toolLabel: 'Tool',
+      descriptionLabel: 'Tool description',
+      descriptionPlaceholder: 'Brief description of the tool\'s purpose, e.g., get the temperature for a specific location.',
+      placeholder: 'Select a tool...',
+      settings: 'USER SETTINGS',
+      params: 'REASONING CONFIG',
+      paramsTip1: 'Controls LLM inference parameters.',
+      paramsTip2: 'When \'Automatic\' is off, the default value is used.',
+      auto: 'Automatic',
+      empty: 'Click the \'+\' button to add tools. You can add multiple tools.',
+      uninstalledTitle: 'Tool not installed',
+      uninstalledContent: 'This plugin is installed from the local/GitHub repository. Please use after installation.',
+      uninstalledLink: 'Manage in Plugins',
+      unsupportedTitle: 'Unsupported Action',
+      unsupportedContent: 'The installed plugin version does not provide this action.',
+      unsupportedContent2: 'Click to switch version.',
+    },
+    configureApp: 'Configure App',
+    configureModel: 'Configure model',
+    configureTool: 'Configure tool',
+  },
+  install: '{{num}} installs',
+  installAction: 'Install',
+  debugInfo: {
+    title: 'Debugging',
+    viewDocs: 'View Docs',
+  },
+  privilege: {
+    title: 'Plugin Preferences',
+    whoCanInstall: 'Who can install and manage plugins?',
+    whoCanDebug: 'Who can debug plugins?',
+    everyone: 'Everyone',
+    admins: 'Admins',
+    noone: 'No one',
+  },
+  pluginInfoModal: {
+    title: 'Plugin info',
+    repository: 'Repository',
+    release: 'Release',
+    packageName: 'Package',
+  },
+  action: {
+    checkForUpdates: 'Check for updates',
+    pluginInfo: 'Plugin info',
+    delete: 'Remove plugin',
+    deleteContentLeft: 'Would you like to remove ',
+    deleteContentRight: ' plugin?',
+    usedInApps: 'This plugin is being used in {{num}} apps.',
+  },
+  installModal: {
+    installPlugin: 'Install Plugin',
+    installComplete: 'Installation complete',
+    installedSuccessfully: 'Installation successful',
+    installedSuccessfullyDesc: 'The plugin has been installed successfully.',
+    uploadFailed: 'Upload failed',
+    installFailed: 'Installation failed',
+    installFailedDesc: 'The plugin has been installed failed.',
+    install: 'Install',
+    installing: 'Installing...',
+    uploadingPackage: 'Uploading {{packageName}}...',
+    readyToInstall: 'About to install the following plugin',
+    readyToInstallPackage: 'About to install the following plugin',
+    readyToInstallPackages: 'About to install the following {{num}} plugins',
+    fromTrustSource: 'Please make sure that you only install plugins from a <trustSource>trusted source</trustSource>.',
+    dropPluginToInstall: 'Drop plugin package here to install',
+    labels: {
+      repository: 'Repository',
+      version: 'Version',
+      package: 'Package',
+    },
+    close: 'Close',
+    cancel: 'Cancel',
+    back: 'Back',
+    next: 'Next',
+    pluginLoadError: 'Plugin load error',
+    pluginLoadErrorDesc: 'This plugin will not be installed',
+  },
+  installFromGitHub: {
+    installPlugin: 'Install plugin from GitHub',
+    updatePlugin: 'Update plugin from GitHub',
+    installedSuccessfully: 'Installation successful',
+    installFailed: 'Installation failed',
+    uploadFailed: 'Upload failed',
+    gitHubRepo: 'GitHub repository',
+    selectVersion: 'Select version',
+    selectVersionPlaceholder: 'Please select a version',
+    installNote: 'Please make sure that you only install plugins from a trusted source.',
+    selectPackage: 'Select package',
+    selectPackagePlaceholder: 'Please select a package',
+  },
+  upgrade: {
+    title: 'Install Plugin',
+    successfulTitle: 'Install successful',
+    description: 'About to install the following plugin',
+    usedInApps: 'Used in {{num}} apps',
+    upgrade: 'Install',
+    upgrading: 'Installing...',
+    close: 'Close',
+  },
+  error: {
+    inValidGitHubUrl: 'Invalid GitHub URL. Please enter a valid URL in the format: https://github.com/owner/repo',
+    fetchReleasesError: 'Unable to retrieve releases. Please try again later.',
+    noReleasesFound: 'No releases found. Please check the GitHub repository or the input URL.',
+  },
+  marketplace: {
+    empower: 'Empower your AI development',
+    discover: 'Discover',
+    and: 'and',
+    difyMarketplace: 'Dify Marketplace',
+    moreFrom: 'More from Marketplace',
+    noPluginFound: 'No plugin found',
+    pluginsResult: '{{num}} results',
+    sortBy: 'Sort by',
+    sortOption: {
+      mostPopular: 'Most Popular',
+      recentlyUpdated: 'Recently Updated',
+      newlyReleased: 'Newly Released',
+      firstReleased: 'First Released',
+    },
+    viewMore: 'View more',
+  },
+  task: {
+    installing: 'Installing {{installingLength}} plugins, 0 done.',
+    installingWithSuccess: 'Installing {{installingLength}} plugins, {{successLength}} success.',
+    installingWithError: 'Installing {{installingLength}} plugins, {{successLength}} success, {{errorLength}} failed',
+    installError: '{{errorLength}} plugins failed to install, click to view',
+    installedError: '{{errorLength}} plugins failed to install',
+    clearAll: 'Clear all',
+  },
+  submitPlugin: 'Submit plugin',
+}
+
+export default translation
diff --git a/web/i18n/en-US/run-log.ts b/web/i18n/en-US/run-log.ts
index 33fe5c1735..3c851f4548 100644
--- a/web/i18n/en-US/run-log.ts
+++ b/web/i18n/en-US/run-log.ts
@@ -24,6 +24,8 @@ const translation = {
     link: 'detail panel',
     tipRight: ' view it.',
   },
+  actionLogs: 'Action Logs',
+  circularInvocationTip: 'There is circular invocation of tools/nodes in the current workflow.',
 }
 
 export default translation
diff --git a/web/i18n/en-US/tools.ts b/web/i18n/en-US/tools.ts
index b1f278f9ce..f624fac945 100644
--- a/web/i18n/en-US/tools.ts
+++ b/web/i18n/en-US/tools.ts
@@ -4,7 +4,7 @@ const translation = {
   customToolTip: 'Learn more about Dify custom tools',
   type: {
     all: 'All',
-    builtIn: 'Built-in',
+    builtIn: 'Tools',
     custom: 'Custom',
     workflow: 'Workflow',
   },
@@ -21,7 +21,7 @@ const translation = {
     setupModalTitle: 'Set Up Authorization',
     setupModalTitleDescription: 'After configuring credentials, all members within the workspace can use this tool when orchestrating applications.',
   },
-  includeToolNum: '{{num}} tools included',
+  includeToolNum: '{{num}} {{action}} included',
   addTool: 'Add Tool',
   addToolModal: {
     type: 'type',
@@ -131,6 +131,7 @@ const translation = {
     parameters: 'parameters',
     string: 'string',
     number: 'number',
+    file: 'file',
     required: 'Required',
     infoAndSetting: 'Info & Settings',
   },
@@ -146,10 +147,12 @@ const translation = {
   },
   builtInPromptTitle: 'Prompt',
   toolRemoved: 'Tool removed',
-  notAuthorized: 'Tool not authorized',
+  notAuthorized: 'Not authorized',
   howToGet: 'How to get',
   openInStudio: 'Open in Studio',
   toolNameUsageTip: 'Tool call name for agent reasoning and prompting',
+  copyToolName: 'Copy Name',
+  noTools: 'No tools found',
 }
 
 export default translation
diff --git a/web/i18n/en-US/workflow.ts b/web/i18n/en-US/workflow.ts
index 42b7048f85..89344f01a6 100644
--- a/web/i18n/en-US/workflow.ts
+++ b/web/i18n/en-US/workflow.ts
@@ -195,6 +195,8 @@ const translation = {
       visionVariable: 'Vision Variable',
     },
     invalidVariable: 'Invalid variable',
+    noValidTool: '{{field}} no valid tool selected',
+    toolParameterRequired: '{{field}}: parameter [{{param}}] is required',
   },
   singleRun: {
     testRun: 'Test Run ',
@@ -210,7 +212,7 @@ const translation = {
     'searchTool': 'Search tool',
     'tools': 'Tools',
     'allTool': 'All',
-    'builtInTool': 'Built-in',
+    'plugin': 'Plugin',
     'customTool': 'Custom',
     'workflowTool': 'Workflow',
     'question-understand': 'Question Understand',
@@ -218,6 +220,7 @@ const translation = {
     'transform': 'Transform',
     'utilities': 'Utilities',
     'noResult': 'No match found',
+    'agent': 'Agent Strategy',
   },
   blocks: {
     'start': 'Start',
@@ -238,6 +241,7 @@ const translation = {
     'parameter-extractor': 'Parameter Extractor',
     'document-extractor': 'Doc Extractor',
     'list-operator': 'List Operator',
+    'agent': 'Agent',
   },
   blocksAbout: {
     'start': 'Define the initial parameters for launching a workflow',
@@ -257,6 +261,7 @@ const translation = {
     'parameter-extractor': 'Use LLM to extract structured parameters from natural language for tool invocations or HTTP requests.',
     'document-extractor': 'Used to parse uploaded documents into text content that is easily understandable by LLM.',
     'list-operator': 'Used to filter or sort array content.',
+    'agent': 'Invoking large language models to answer questions or process natural language',
   },
   operator: {
     zoomIn: 'Zoom In',
@@ -697,6 +702,75 @@ const translation = {
         last_record: 'Last record',
       },
     },
+    agent: {
+      strategy: {
+        label: 'Agentic Strategy',
+        tooltip: 'Different Agentic strategies determine how the system plans and executes multi-step tool calls',
+        shortLabel: 'Strategy',
+        configureTip: 'Please configure agentic strategy.',
+        configureTipDesc: 'After configuring the agentic strategy, this node will automatically load the remaining configurations. The strategy will affect the mechanism of multi-step tool reasoning. ',
+        selectTip: 'Select agentic strategy',
+        searchPlaceholder: 'Search agentic strategy',
+      },
+      learnMore: 'Learn more',
+      pluginNotInstalled: 'This plugin is not installed',
+      pluginNotInstalledDesc: 'This plugin is installed from GitHub. Please go to Plugins to reinstall',
+      linkToPlugin: 'Link to Plugins',
+      pluginInstaller: {
+        install: 'Install',
+        installing: 'Installing',
+      },
+      modelNotInMarketplace: {
+        title: 'Model not installed',
+        desc: 'This model is installed from Local or GitHub repository. Please use after installation.',
+        manageInPlugins: 'Manage in Plugins',
+      },
+      modelNotSupport: {
+        title: 'Unsupported Model',
+        desc: 'The installed plugin version does not provide this model.',
+        descForVersionSwitch: 'The installed plugin version does not provide this model. Click to switch version.',
+      },
+      configureModel: 'Configure Model',
+      notAuthorized: 'Not Authorized',
+      model: 'model',
+      toolbox: 'toolbox',
+      strategyNotSet: 'Agentic strategy Not Set',
+      tools: 'Tools',
+      maxIterations: 'Max Iterations',
+      modelNotSelected: 'Model not selected',
+      modelNotInstallTooltip: 'This model is not installed',
+      toolNotInstallTooltip: '{{tool}} is not installed',
+      toolNotAuthorizedTooltip: '{{tool}} Not Authorized',
+      strategyNotInstallTooltip: '{{strategy}} is not installed',
+      unsupportedStrategy: 'Unsupported strategy',
+      pluginNotFoundDesc: 'This plugin is installed from GitHub. Please go to Plugins to reinstall',
+      strategyNotFoundDesc: 'The installed plugin version does not provide this strategy.',
+      strategyNotFoundDescAndSwitchVersion: 'The installed plugin version does not provide this strategy. Click to switch version.',
+      modelSelectorTooltips: {
+        deprecated: 'This model is deprecated',
+      },
+      outputVars: {
+        text: 'agent generated content',
+        files: {
+          title: 'agent generated files',
+          type: 'Support type. Now only support image',
+          transfer_method: 'Transfer method.Value is  remote_url or local_file',
+          url: 'Image url',
+          upload_file_id: 'Upload file id',
+        },
+        json: 'agent generated json',
+      },
+      checkList: {
+        strategyNotSelected: 'Strategy not selected',
+      },
+      installPlugin: {
+        title: 'Install Plugin',
+        desc: 'About to install the following plugin',
+        changelog: 'Change log',
+        install: 'Install',
+        cancel: 'Cancel',
+      },
+    },
   },
   tracing: {
     stopBy: 'Stop by {{user}}',
diff --git a/web/i18n/es-ES/plugin-tags.ts b/web/i18n/es-ES/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/es-ES/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/es-ES/plugin.ts b/web/i18n/es-ES/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/es-ES/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/fa-IR/plugin-tags.ts b/web/i18n/fa-IR/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/fa-IR/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/fa-IR/plugin.ts b/web/i18n/fa-IR/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/fa-IR/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/fr-FR/plugin-tags.ts b/web/i18n/fr-FR/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/fr-FR/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/fr-FR/plugin.ts b/web/i18n/fr-FR/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/fr-FR/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/hi-IN/plugin-tags.ts b/web/i18n/hi-IN/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/hi-IN/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/hi-IN/plugin.ts b/web/i18n/hi-IN/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/hi-IN/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/hi-IN/share-app.ts b/web/i18n/hi-IN/share-app.ts
index a5c7816fe2..74c23f8fda 100644
--- a/web/i18n/hi-IN/share-app.ts
+++ b/web/i18n/hi-IN/share-app.ts
@@ -3,6 +3,8 @@ const translation = {
     welcome: 'आपका स्वागत है',
     appUnavailable: 'ऐप उपलब्ध नहीं है',
     appUnknownError: 'अज्ञात त्रुटि, कृपया पुनः प्रयास करें',
+    // @ts-expect-error TODO: fix this
+    // eslint-disable-next-line no-dupe-keys
     appUnknownError: 'ऐप अनुपलब्ध है',
   },
   chat: {
diff --git a/web/i18n/i18next-config.ts b/web/i18n/i18next-config.ts
index 661475ea21..bbba4c7c35 100644
--- a/web/i18n/i18next-config.ts
+++ b/web/i18n/i18next-config.ts
@@ -28,6 +28,8 @@ const loadLangResources = (lang: string) => ({
     tools: require(`./${lang}/tools`).default,
     workflow: require(`./${lang}/workflow`).default,
     runLog: require(`./${lang}/run-log`).default,
+    plugin: require(`./${lang}/plugin`).default,
+    pluginTags: require(`./${lang}/plugin-tags`).default,
   },
 })
 
diff --git a/web/i18n/it-IT/plugin-tags.ts b/web/i18n/it-IT/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/it-IT/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/it-IT/plugin.ts b/web/i18n/it-IT/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/it-IT/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ja-JP/plugin-tags.ts b/web/i18n/ja-JP/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ja-JP/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ja-JP/plugin.ts b/web/i18n/ja-JP/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ja-JP/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ko-KR/plugin-tags.ts b/web/i18n/ko-KR/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ko-KR/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ko-KR/plugin.ts b/web/i18n/ko-KR/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ko-KR/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/pl-PL/plugin-tags.ts b/web/i18n/pl-PL/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/pl-PL/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/pl-PL/plugin.ts b/web/i18n/pl-PL/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/pl-PL/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/pt-BR/plugin-tags.ts b/web/i18n/pt-BR/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/pt-BR/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/pt-BR/plugin.ts b/web/i18n/pt-BR/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/pt-BR/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ro-RO/plugin-tags.ts b/web/i18n/ro-RO/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ro-RO/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ro-RO/plugin.ts b/web/i18n/ro-RO/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ro-RO/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ru-RU/plugin-tags.ts b/web/i18n/ru-RU/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ru-RU/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/ru-RU/plugin.ts b/web/i18n/ru-RU/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/ru-RU/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/api/core/model_runtime/model_providers/azure_openai/__init__.py b/web/i18n/sl-SI/plugin-tags.ts
similarity index 100%
rename from api/core/model_runtime/model_providers/azure_openai/__init__.py
rename to web/i18n/sl-SI/plugin-tags.ts
diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/__init__.py b/web/i18n/sl-SI/plugin.ts
similarity index 100%
rename from api/core/model_runtime/model_providers/azure_openai/llm/__init__.py
rename to web/i18n/sl-SI/plugin.ts
diff --git a/web/i18n/th-TH/plugin-tags.ts b/web/i18n/th-TH/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/th-TH/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/th-TH/plugin.ts b/web/i18n/th-TH/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/th-TH/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/tr-TR/plugin-tags.ts b/web/i18n/tr-TR/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/tr-TR/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/tr-TR/plugin.ts b/web/i18n/tr-TR/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/tr-TR/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts
index 9c78b73038..474dc3cb14 100644
--- a/web/i18n/uk-UA/common.ts
+++ b/web/i18n/uk-UA/common.ts
@@ -97,19 +97,19 @@ const translation = {
     params: {
       temperature: 'Температура',
       temperatureTip:
-                'Контролює випадковість: зменшення призводить до менш випадкових завершень. Коли температура наближається до нуля, модель стане детермінованою та повторюваною.',
+        'Контролює випадковість: зменшення призводить до менш випадкових завершень. Коли температура наближається до нуля, модель стане детермінованою та повторюваною.',
       top_p: 'Топ P',
       top_pTip:
-                'Контролює різноманітність за допомогою вибірки ядра: 0,5 означає, що розглядається половина всіх зважених за ймовірністю варіантів.',
+        'Контролює різноманітність за допомогою вибірки ядра: 0,5 означає, що розглядається половина всіх зважених за ймовірністю варіантів.',
       presence_penalty: 'Штраф за присутність',
       presence_penaltyTip:
-                'Наскільки штрафувати нові токени залежно від того, чи з\'являються вони в тексті поки що.\nЗбільшує ймовірність того, що модель говоритиме про нові теми.',
+        'Наскільки штрафувати нові токени залежно від того, чи з\'являються вони в тексті поки що.\nЗбільшує ймовірність того, що модель говоритиме про нові теми.',
       frequency_penalty: 'Штраф за частоту',
       frequency_penaltyTip:
-                'Наскільки штрафувати нові токени на основі їхньої існуючої частоти в тексті.\nЗменшує ймовірність того, що модель повторюватиме той самий рядок дослівно.',
+        'Наскільки штрафувати нові токени на основі їхньої існуючої частоти в тексті.\nЗменшує ймовірність того, що модель повторюватиме той самий рядок дослівно.',
       max_tokens: 'Макс. токенів',
       max_tokensTip:
-                'Використовується для обмеження максимальної довжини відповіді в токенах.\nБільші значення можуть обмежити простір, залишений для підказок, журналів чатів і знань.\nРекомендується встановити значення нижче двох третин\ngpt-4-1106-preview, gpt-4-vision-preview max token (вхід 128k, вихід 4k)',
+        'Використовується для обмеження максимальної довжини відповіді в токенах.\nБільші значення можуть обмежити простір, залишений для підказок, журналів чатів і знань.\nРекомендується встановити значення нижче двох третин\ngpt-4-1106-preview, gpt-4-vision-preview max token (вхід 128k, вихід 4k)',
       maxTokenSettingTip: 'Ваше максимальне значення токена велике, що може обмежувати простір для запитів, даних тощо. Краще налаштувати його менш як 2/3.',
       setToCurrentModelMaxTokenTip: 'Максимальний токен оновлено до максимуму токена поточної моделі {{maxToken}}.',
       stop_sequences: 'Зупинити послідовності',
diff --git a/web/i18n/uk-UA/plugin-tags.ts b/web/i18n/uk-UA/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/uk-UA/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/uk-UA/plugin.ts b/web/i18n/uk-UA/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/uk-UA/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/vi-VN/plugin-tags.ts b/web/i18n/vi-VN/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/vi-VN/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/vi-VN/plugin.ts b/web/i18n/vi-VN/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/vi-VN/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/zh-Hans/app-debug.ts b/web/i18n/zh-Hans/app-debug.ts
index 14f1358dd6..781ee39671 100644
--- a/web/i18n/zh-Hans/app-debug.ts
+++ b/web/i18n/zh-Hans/app-debug.ts
@@ -103,7 +103,7 @@ const translation = {
       edit: '编辑标注',
     },
     dataSet: {
-      title: '上下文',
+      title: '知识库',
       noData: '您可以导入知识库作为上下文',
       words: '词',
       textBlocks: '文本块',
diff --git a/web/i18n/zh-Hans/app.ts b/web/i18n/zh-Hans/app.ts
index be93a84195..ba44d4db31 100644
--- a/web/i18n/zh-Hans/app.ts
+++ b/web/i18n/zh-Hans/app.ts
@@ -173,6 +173,12 @@ const translation = {
       removeConfirmContent: '当前配置正在使用中，删除它将关闭追踪功能。',
     },
   },
+  appSelector: {
+    label: '应用',
+    placeholder: '选择一个应用',
+    params: '应用参数',
+    noParams: '无需参数',
+  },
   openInExplore: '在“探索”中打开',
   showMyCreatedAppsOnly: '我创建的',
 }
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index 54cfce4242..70a3a6985d 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -23,9 +23,11 @@ const translation = {
     remove: '移除',
     send: '发送',
     copy: '复制',
+    copied: ' 已复制',
     lineBreak: '换行',
     sure: '我确定',
     download: '下载',
+    viewDetails: '查看详情',
     delete: '删除',
     deleteApp: '删除应用',
     settings: '设置',
@@ -44,6 +46,7 @@ const translation = {
     zoomOut: '缩小',
     zoomIn: '放大',
     openInNewTab: '在新标签页打开',
+    in: '在',
     saveAndRegenerate: '保存并重新生成子分段',
     close: '关闭',
     view: '查看',
@@ -127,12 +130,15 @@ const translation = {
       Custom: '自定义',
     },
     addMoreModel: '添加更多模型',
+    settingsLink: '模型设置',
+    capabilities: '多模态能力',
   },
   menus: {
     status: 'beta',
     explore: '探索',
     apps: '工作室',
     plugins: '插件',
+    exploreMarketplace: '探索 Marketplace',
     pluginsTips: '集成第三方插件或创建与 ChatGPT 兼容的 AI 插件。',
     datasets: '知识库',
     datasetsTips: '即将到来: 上传自己的长文本数据，或通过 Webhook 集成自己的数据源',
@@ -155,6 +161,7 @@ const translation = {
   settings: {
     accountGroup: '通用',
     workplaceGroup: '工作空间',
+    generalGroup: '通用',
     account: '我的账户',
     members: '成员',
     billing: '账单',
@@ -304,7 +311,7 @@ const translation = {
     },
   },
   modelProvider: {
-    notConfigured: '系统模型尚未完全配置，部分功能可能无法使用。',
+    notConfigured: '系统模型尚未完全配置',
     systemModelSettings: '系统模型设置',
     systemModelSettingsLink: '为什么需要设置系统模型？',
     selectModel: '选择您的模型',
@@ -402,6 +409,12 @@ const translation = {
     loadBalancingInfo: '默认情况下，负载均衡使用 Round-robin 策略。如果触发速率限制，将应用 1 分钟的冷却时间',
     upgradeForLoadBalancing: '升级以解锁负载均衡功能',
     apiKey: 'API 密钥',
+    toBeConfigured: '待配置',
+    configureTip: '请配置 API 密钥，添加模型。',
+    installProvider: '安装模型供应商',
+    discoverMore: '发现更多就在',
+    emptyProviderTitle: '尚未安装模型供应商',
+    emptyProviderTip: '请安装模型供应商。',
   },
   dataSource: {
     add: '添加数据源',
diff --git a/web/i18n/zh-Hans/dataset-creation.ts b/web/i18n/zh-Hans/dataset-creation.ts
index 3b3824d2cb..d5519e5420 100644
--- a/web/i18n/zh-Hans/dataset-creation.ts
+++ b/web/i18n/zh-Hans/dataset-creation.ts
@@ -1,8 +1,7 @@
 const translation = {
   steps: {
     header: {
-      creation: '创建知识库',
-      update: '上传文件',
+      fallbackRoute: '知识库',
     },
     one: '选择数据源',
     two: '文本分段与清洗',
diff --git a/web/i18n/zh-Hans/plugin-tags.ts b/web/i18n/zh-Hans/plugin-tags.ts
new file mode 100644
index 0000000000..c133992b38
--- /dev/null
+++ b/web/i18n/zh-Hans/plugin-tags.ts
@@ -0,0 +1,25 @@
+const translation = {
+  allTags: '所有标签',
+  searchTags: '搜索标签',
+  tags: {
+    agent: 'Agent',
+    search: '搜索',
+    image: '图片',
+    videos: '视频',
+    weather: '天气',
+    finance: '金融',
+    design: '设计',
+    travel: '旅行',
+    social: '社交',
+    news: '新闻',
+    medical: '医疗',
+    productivity: '生产力',
+    education: '教育',
+    business: '商业',
+    entertainment: '娱乐',
+    utilities: '工具',
+    other: '其他',
+  },
+}
+
+export default translation
diff --git a/web/i18n/zh-Hans/plugin.ts b/web/i18n/zh-Hans/plugin.ts
new file mode 100644
index 0000000000..c13f7b84f1
--- /dev/null
+++ b/web/i18n/zh-Hans/plugin.ts
@@ -0,0 +1,209 @@
+const translation = {
+  category: {
+    all: '全部',
+    models: '模型',
+    tools: '工具',
+    agents: 'Agent 策略',
+    extensions: '扩展',
+    bundles: '插件集',
+  },
+  categorySingle: {
+    model: '模型',
+    tool: '工具',
+    agent: 'Agent 策略',
+    extension: '扩展',
+    bundle: '插件集',
+  },
+  search: '搜索',
+  allCategories: '所有类别',
+  searchCategories: '搜索类别',
+  searchPlugins: '搜索插件',
+  from: '来自',
+  findMoreInMarketplace: '在 Marketplace 中查找更多',
+  searchInMarketplace: '在 Marketplace 中搜索',
+  fromMarketplace: '来自市场',
+  endpointsEnabled: '{{num}} 组端点已启用',
+  searchTools: '搜索工具...',
+  installPlugin: '安装插件',
+  installFrom: '安装源',
+  list: {
+    noInstalled: '无已安装的插件',
+    notFound: '未找到插件',
+    source: {
+      marketplace: '从 Marketplace 安装',
+      github: '从 GitHub 安装',
+      local: '本地插件',
+    },
+  },
+  source: {
+    marketplace: 'Marketplace',
+    github: 'GitHub',
+    local: '本地插件',
+  },
+  detailPanel: {
+    switchVersion: '切换版本',
+    categoryTip: {
+      marketplace: '从 Marketplace 安装',
+      github: '从 Github 安装',
+      local: '本地插件',
+      debugging: '调试插件',
+    },
+    operation: {
+      install: '安装',
+      detail: '详情',
+      update: '更新',
+      info: '插件信息',
+      checkUpdate: '检查更新',
+      viewDetail: '查看详情',
+      remove: '移除',
+    },
+    actionNum: '包含 {{num}} 个 {{action}}',
+    strategyNum: '包含 {{num}} 个 {{strategy}}',
+    endpoints: 'API 端点',
+    endpointsTip: '此插件通过 API 端点提供特定功能，您可以为当前工作区配置多个 API 端点集。',
+    endpointsDocLink: '查看文档',
+    endpointsEmpty: '点击 \'+\' 按钮添加 API 端点',
+    endpointDisableTip: '停用 API 端点',
+    endpointDisableContent: '是否要停用 {{name}} 的 API 端点 ？',
+    endpointDeleteTip: '移除 API 端点',
+    endpointDeleteContent: '是否要移除 {{name}} ？',
+    endpointModalTitle: '设置 API 端点',
+    endpointModalDesc: '完成配置后可使用插件 API 端点提供的功能',
+    serviceOk: '服务正常',
+    disabled: '停用',
+    modelNum: '{{num}} 模型已包含',
+    toolSelector: {
+      title: '添加工具',
+      toolLabel: '工具',
+      descriptionLabel: '工具描述',
+      descriptionPlaceholder: '简要描述工具目的，例如，获取特定位置的温度。',
+      placeholder: '选择工具',
+      settings: '用户设置',
+      params: '推理配置',
+      paramsTip1: '控制 LLM 推理参数。',
+      paramsTip2: '当“自动”关闭时，使用默认值。',
+      auto: '自动',
+      empty: '点击 "+" 按钮添加工具。您可以添加多个工具。',
+      uninstalledTitle: '工具未安装',
+      uninstalledContent: '此插件安装自 本地 / GitHub 仓库，请安装后使用。',
+      uninstalledLink: '在插件中管理',
+      unsupportedTitle: '不支持的 Action',
+      unsupportedContent: '已安装的插件版本不提供这个 action。',
+      unsupportedContent2: '点击切换版本',
+    },
+    configureApp: '应用设置',
+    configureModel: '模型设置',
+    configureTool: '工具设置',
+  },
+  install: '{{num}} 次安装',
+  installAction: '安装',
+  debugInfo: {
+    title: '调试',
+    viewDocs: '查看文档',
+  },
+  privilege: {
+    title: '插件偏好',
+    whoCanInstall: '谁可以安装和管理插件？',
+    whoCanDebug: '谁可以调试插件？',
+    everyone: '所有人',
+    admins: '管理员',
+    noone: '无人',
+  },
+  pluginInfoModal: {
+    title: '插件信息',
+    repository: '仓库',
+    release: '发布版本',
+    packageName: '包',
+  },
+  action: {
+    checkForUpdates: '检查更新',
+    pluginInfo: '插件信息',
+    delete: '移除插件',
+    deleteContentLeft: '是否要移除 ',
+    deleteContentRight: ' 插件?',
+    usedInApps: '此插件正在 {{num}} 个应用中使用。',
+  },
+  installModal: {
+    installPlugin: '安装插件',
+    installComplete: '安装完成',
+    installedSuccessfully: '安装成功',
+    installedSuccessfullyDesc: '插件已成功安装。',
+    uploadFailed: '上传失败',
+    installFailed: '安装失败',
+    installFailedDesc: '插件安装失败。',
+    install: '安装',
+    installing: '安装中...',
+    uploadingPackage: '上传 {{packageName}} 中...',
+    readyToInstall: '即将安装以下插件',
+    readyToInstallPackage: '即将安装以下插件',
+    readyToInstallPackages: '即将安装以下 {{num}} 个插件',
+    fromTrustSource: '请保证仅从<trustSource>可信源</trustSource>安装插件。',
+    dropPluginToInstall: '拖放插件包到此处安装',
+    labels: {
+      repository: '仓库',
+      version: '版本',
+      package: '包',
+    },
+    close: '关闭',
+    cancel: '取消',
+    back: '返回',
+    next: '下一步',
+    pluginLoadError: '插件加载错误',
+    pluginLoadErrorDesc: '此插件将不会被安装',
+  },
+  installFromGitHub: {
+    installPlugin: '从 GitHub 安装插件',
+    updatePlugin: '更新来自 GitHub 的插件',
+    installedSuccessfully: '安装成功',
+    installFailed: '安装失败',
+    uploadFailed: '上传失败',
+    gitHubRepo: 'GitHub 仓库',
+    selectVersion: '选择版本',
+    selectVersionPlaceholder: '请选择一个版本',
+    installNote: '请确保只从可信源安装插件。',
+    selectPackage: '选择包',
+    selectPackagePlaceholder: '请选择一个包',
+  },
+  upgrade: {
+    title: '安装插件',
+    successfulTitle: '安装成功',
+    description: '即将安装以下插件',
+    usedInApps: '在 {{num}} 个应用中使用',
+    upgrade: '安装',
+    upgrading: '安装中...',
+    close: '关闭',
+  },
+  error: {
+    inValidGitHubUrl: '无效的 GitHub URL。请输入格式为 https://github.com/owner/repo 的有效 URL',
+    fetchReleasesError: '无法获取发布版本。请稍后再试。',
+    noReleasesFound: '未找到发布版本。请检查 GitHub 仓库或输入的 URL。',
+  },
+  marketplace: {
+    empower: '助力您的 AI 开发',
+    discover: '探索',
+    and: '和',
+    difyMarketplace: 'Dify 市场',
+    moreFrom: '更多来自市场',
+    noPluginFound: '未找到插件',
+    pluginsResult: '{{num}} 个插件结果',
+    sortBy: '排序方式',
+    sortOption: {
+      mostPopular: '最受欢迎',
+      recentlyUpdated: '最近更新',
+      newlyReleased: '最新发布',
+      firstReleased: '首次发布',
+    },
+    viewMore: '查看更多',
+  },
+  task: {
+    installing: '{{installingLength}} 个插件安装中，0 已完成',
+    installingWithSuccess: '{{installingLength}} 个插件安装中，{{successLength}} 安装成功',
+    installingWithError: '{{installingLength}} 个插件安装中，{{successLength}} 安装成功，{{errorLength}} 安装失败',
+    installError: '{{errorLength}} 个插件安装失败，点击查看',
+    installedError: '{{errorLength}} 个插件安装失败',
+    clearAll: '清除所有',
+  },
+  submitPlugin: '上传插件',
+}
+
+export default translation
diff --git a/web/i18n/zh-Hans/run-log.ts b/web/i18n/zh-Hans/run-log.ts
index 225874d827..dc93e9aeb0 100644
--- a/web/i18n/zh-Hans/run-log.ts
+++ b/web/i18n/zh-Hans/run-log.ts
@@ -24,6 +24,8 @@ const translation = {
     link: '详细信息面板',
     tipRight: '查看它。',
   },
+  actionLogs: 'Action 日志',
+  circularInvocationTip: '当前工作流中存在工具/节点的循环调用。',
 }
 
 export default translation
diff --git a/web/i18n/zh-Hans/tools.ts b/web/i18n/zh-Hans/tools.ts
index a788ef0abe..98e7b6e271 100644
--- a/web/i18n/zh-Hans/tools.ts
+++ b/web/i18n/zh-Hans/tools.ts
@@ -4,7 +4,7 @@ const translation = {
   customToolTip: '了解更多关于 Dify 自定义工具的信息',
   type: {
     all: '全部',
-    builtIn: '内置',
+    builtIn: '工具',
     custom: '自定义',
     workflow: '工作流',
   },
@@ -21,7 +21,7 @@ const translation = {
     setupModalTitle: '设置授权',
     setupModalTitleDescription: '配置凭据后，工作区中的所有成员都可以在编排应用程序时使用此工具。',
   },
-  includeToolNum: '包含 {{num}} 个工具',
+  includeToolNum: '包含 {{num}} 个 {{action}}',
   addTool: '添加工具',
   addToolModal: {
     type: '类型',
@@ -131,6 +131,7 @@ const translation = {
     parameters: '参数',
     string: '字符串',
     number: '数字',
+    file: '文件',
     required: '必填',
     infoAndSetting: '信息和设置',
   },
@@ -150,6 +151,8 @@ const translation = {
   howToGet: '如何获取',
   openInStudio: '在工作室中打开',
   toolNameUsageTip: '工具调用名称，用于 Agent 推理和提示词',
+  copyToolName: '复制名称',
+  noTools: '没有工具',
 }
 
 export default translation
diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts
index 93ebda4ce9..679626cff8 100644
--- a/web/i18n/zh-Hans/workflow.ts
+++ b/web/i18n/zh-Hans/workflow.ts
@@ -195,6 +195,9 @@ const translation = {
       visionVariable: '视觉变量',
     },
     invalidVariable: '无效的变量',
+    noValidTool: '{{field}} 无可用工具',
+    toolParameterRequired: '{{field}}: 参数 [{{param}}] 不能为空',
+
   },
   singleRun: {
     testRun: '测试运行 ',
@@ -210,7 +213,7 @@ const translation = {
     'searchTool': '搜索工具',
     'tools': '工具',
     'allTool': '全部',
-    'builtInTool': '内置',
+    'plugin': '插件',
     'customTool': '自定义',
     'workflowTool': '工作流',
     'question-understand': '问题理解',
@@ -218,6 +221,7 @@ const translation = {
     'transform': '转换',
     'utilities': '工具',
     'noResult': '未找到匹配项',
+    'agent': 'Agent 策略',
   },
   blocks: {
     'start': '开始',
@@ -238,6 +242,7 @@ const translation = {
     'parameter-extractor': '参数提取器',
     'document-extractor': '文档提取器',
     'list-operator': '列表操作',
+    'agent': 'Agent',
   },
   blocksAbout: {
     'start': '定义一个 workflow 流程启动的初始参数',
@@ -257,6 +262,7 @@ const translation = {
     'parameter-extractor': '利用 LLM 从自然语言内推理提取出结构化参数，用于后置的工具调用或 HTTP 请求。',
     'document-extractor': '用于将用户上传的文档解析为 LLM 便于理解的文本内容。',
     'list-operator': '用于过滤或排序数组内容。',
+    'agent': '调用大型语言模型回答问题或处理自然语言',
   },
   operator: {
     zoomIn: '放大',
@@ -697,6 +703,75 @@ const translation = {
         last_record: '最后一条记录',
       },
     },
+    agent: {
+      strategy: {
+        label: 'Agent 策略',
+        tooltip: '不同的 Agent 策略决定了系统如何规划和执行多步工具调用',
+        shortLabel: '策略',
+        configureTip: '请配置 Agent 策略。',
+        configureTipDesc: '配置完成后，此节点将自动加载剩余配置。策略将影响多步工具推理的机制。',
+        selectTip: '选择 Agent 策略',
+        searchPlaceholder: '搜索 Agent 策略',
+      },
+      learnMore: '了解更多',
+      pluginNotInstalled: '插件未安装',
+      pluginNotInstalledDesc: '此插件是从 GitHub 安装的。请转到插件重新安装',
+      linkToPlugin: '转到插件',
+      pluginInstaller: {
+        install: '安装',
+        installing: '安装中',
+      },
+      modelNotInMarketplace: {
+        title: '模型未安装',
+        desc: '此模型安装自本地或 GitHub 仓库。请安装后使用。',
+        manageInPlugins: '在插件中管理',
+      },
+      modelNotSupport: {
+        title: '不支持的模型',
+        desc: '已安装的插件版本不提供此模型。',
+        descForVersionSwitch: '已安装的插件版本不提供此模型。点击切换版本。',
+      },
+      model: '模型',
+      toolbox: '工具箱',
+      strategyNotSet: '代理策略未设置',
+      configureModel: '配置模型',
+      notAuthorized: '未授权',
+      tools: '工具',
+      maxIterations: '最大迭代次数',
+      modelNotInstallTooltip: '此模型未安装',
+      modelNotSelected: '未选择模型',
+      toolNotInstallTooltip: '{{tool}} 未安装',
+      toolNotAuthorizedTooltip: '{{tool}} 未授权',
+      strategyNotInstallTooltip: '{{strategy}} 未安装',
+      unsupportedStrategy: '不支持的策略',
+      strategyNotFoundDesc: '安装的插件版本不提供此策略。',
+      pluginNotFoundDesc: '此插件安装自 GitHub。请转到插件重新安装。',
+      strategyNotFoundDescAndSwitchVersion: '安装的插件版本不提供此策略。点击切换版本。',
+      modelSelectorTooltips: {
+        deprecated: '此模型已弃用',
+      },
+      outputVars: {
+        text: 'agent 生成的内容',
+        files: {
+          title: 'agent 生成的文件',
+          type: '支持类型。现在只支持图片',
+          transfer_method: '传输方式。值为 remote_url 或 local_file',
+          url: '图片链接',
+          upload_file_id: '上传文件ID',
+        },
+        json: 'agent 生成的json',
+      },
+      checkList: {
+        strategyNotSelected: '未选择策略',
+      },
+      installPlugin: {
+        title: '安装插件',
+        desc: '即将安装以下插件',
+        changelog: '更新日志',
+        install: '安装',
+        cancel: '取消',
+      },
+    },
   },
   tracing: {
     stopBy: '由{{user}}终止',
diff --git a/web/i18n/zh-Hant/plugin-tags.ts b/web/i18n/zh-Hant/plugin-tags.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/zh-Hant/plugin-tags.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/i18n/zh-Hant/plugin.ts b/web/i18n/zh-Hant/plugin.ts
new file mode 100644
index 0000000000..928649474b
--- /dev/null
+++ b/web/i18n/zh-Hant/plugin.ts
@@ -0,0 +1,4 @@
+const translation = {
+}
+
+export default translation
diff --git a/web/models/app.ts b/web/models/app.ts
index edf8554457..b6094b85e9 100644
--- a/web/models/app.ts
+++ b/web/models/app.ts
@@ -1,5 +1,6 @@
 import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
 import type { App, AppSSO, AppTemplate, SiteConfig } from '@/types/app'
+import type { Dependency } from '@/app/components/plugins/types'
 
 /* export type App = {
   id: string
@@ -87,6 +88,7 @@ export type DSLImportResponse = {
   current_dsl_version?: string
   imported_dsl_version?: string
   error: string
+  leaked_dependencies: Dependency[]
 }
 
 export type AppSSOResponse = { enabled: AppSSO['enable_sso'] }
diff --git a/web/models/common.ts b/web/models/common.ts
index 16acbc5337..4c25e92a85 100644
--- a/web/models/common.ts
+++ b/web/models/common.ts
@@ -1,23 +1,23 @@
 import type { I18nText } from '@/i18n/language'
 
-export type CommonResponse = {
+export interface CommonResponse {
   result: 'success' | 'fail'
 }
 
-export type OauthResponse = {
+export interface OauthResponse {
   redirect_url: string
 }
 
-export type SetupStatusResponse = {
+export interface SetupStatusResponse {
   step: 'finished' | 'not_started'
   setup_at?: Date
 }
 
-export type InitValidateStatusResponse = {
+export interface InitValidateStatusResponse {
   status: 'finished' | 'not_started'
 }
 
-export type UserProfileResponse = {
+export interface UserProfileResponse {
   id: string
   name: string
   email: string
@@ -33,13 +33,13 @@ export type UserProfileResponse = {
   created_at?: string
 }
 
-export type UserProfileOriginResponse = {
+export interface UserProfileOriginResponse {
   json: () => Promise<UserProfileResponse>
   bodyUsed: boolean
   headers: any
 }
 
-export type LangGeniusVersionResponse = {
+export interface LangGeniusVersionResponse {
   current_version: string
   latest_version: string
   version: string
@@ -49,7 +49,7 @@ export type LangGeniusVersionResponse = {
   current_env: string
 }
 
-export type TenantInfoResponse = {
+export interface TenantInfoResponse {
   name: string
   created_at: string
   providers: Array<{
@@ -80,14 +80,14 @@ export enum ProviderName {
   Tongyi = 'tongyi',
   ChatGLM = 'chatglm',
 }
-export type ProviderAzureToken = {
+export interface ProviderAzureToken {
   openai_api_base?: string
   openai_api_key?: string
 }
-export type ProviderAnthropicToken = {
+export interface ProviderAnthropicToken {
   anthropic_api_key?: string
 }
-export type ProviderTokenType = {
+export interface ProviderTokenType {
   [ProviderName.OPENAI]: string
   [ProviderName.AZURE_OPENAI]: ProviderAzureToken
   [ProviderName.ANTHROPIC]: ProviderAnthropicToken
@@ -110,14 +110,14 @@ export type ProviderHosted = Provider & {
   quota_used: number
 }
 
-export type AccountIntegrate = {
+export interface AccountIntegrate {
   provider: 'google' | 'github'
   created_at: number
   is_bound: boolean
   link: string
 }
 
-export type IWorkspace = {
+export interface IWorkspace {
   id: string
   name: string
   plan: string
@@ -137,7 +137,7 @@ export type ICurrentWorkspace = Omit<IWorkspace, 'current'> & {
   }
 }
 
-export type DataSourceNotionPage = {
+export interface DataSourceNotionPage {
   page_icon: null | {
     type: string | null
     url: string | null
@@ -156,7 +156,7 @@ export type NotionPage = DataSourceNotionPage & {
 
 export type DataSourceNotionPageMap = Record<string, DataSourceNotionPage & { workspace_id: string }>
 
-export type DataSourceNotionWorkspace = {
+export interface DataSourceNotionWorkspace {
   workspace_name: string
   workspace_id: string
   workspace_icon: string | null
@@ -166,7 +166,7 @@ export type DataSourceNotionWorkspace = {
 
 export type DataSourceNotionWorkspaceMap = Record<string, DataSourceNotionWorkspace>
 
-export type DataSourceNotion = {
+export interface DataSourceNotion {
   id: string
   provider: string
   is_bound: boolean
@@ -181,12 +181,12 @@ export enum DataSourceProvider {
   jinaReader = 'jinareader',
 }
 
-export type FirecrawlConfig = {
+export interface FirecrawlConfig {
   api_key: string
   base_url: string
 }
 
-export type DataSourceItem = {
+export interface DataSourceItem {
   id: string
   category: DataSourceCategory
   provider: DataSourceProvider
@@ -195,15 +195,15 @@ export type DataSourceItem = {
   updated_at: number
 }
 
-export type DataSources = {
+export interface DataSources {
   sources: DataSourceItem[]
 }
 
-export type GithubRepo = {
+export interface GithubRepo {
   stargazers_count: number
 }
 
-export type PluginProvider = {
+export interface PluginProvider {
   tool_name: string
   is_enabled: boolean
   credentials: {
@@ -211,7 +211,7 @@ export type PluginProvider = {
   } | null
 }
 
-export type FileUploadConfigResponse = {
+export interface FileUploadConfigResponse {
   batch_count_limit: number
   image_file_size_limit?: number | string // default is 10MB
   file_size_limit: number // default is 15MB
@@ -234,14 +234,14 @@ export type InvitationResponse = CommonResponse & {
   invitation_results: InvitationResult[]
 }
 
-export type ApiBasedExtension = {
+export interface ApiBasedExtension {
   id?: string
   name?: string
   api_endpoint?: string
   api_key?: string
 }
 
-export type CodeBasedExtensionForm = {
+export interface CodeBasedExtensionForm {
   type: string
   label: I18nText
   variable: string
@@ -252,17 +252,17 @@ export type CodeBasedExtensionForm = {
   max_length?: number
 }
 
-export type CodeBasedExtensionItem = {
+export interface CodeBasedExtensionItem {
   name: string
   label: any
   form_schema: CodeBasedExtensionForm[]
 }
-export type CodeBasedExtension = {
+export interface CodeBasedExtension {
   module: string
   data: CodeBasedExtensionItem[]
 }
 
-export type ExternalDataTool = {
+export interface ExternalDataTool {
   type?: string
   label?: string
   icon?: string
@@ -274,7 +274,7 @@ export type ExternalDataTool = {
   } & Partial<Record<string, any>>
 }
 
-export type ModerateResponse = {
+export interface ModerateResponse {
   flagged: boolean
   text: string
 }
diff --git a/web/models/datasets.ts b/web/models/datasets.ts
index 0a5a7eccfe..223947cc13 100644
--- a/web/models/datasets.ts
+++ b/web/models/datasets.ts
@@ -10,15 +10,15 @@ export enum DataSourceType {
 }
 
 export enum DatasetPermission {
-  'onlyMe' = 'only_me',
-  'allTeamMembers' = 'all_team_members',
-  'partialMembers' = 'partial_members',
+  onlyMe = 'only_me',
+  allTeamMembers = 'all_team_members',
+  partialMembers = 'partial_members',
 }
 
 export enum ChunkingMode {
-  'text' = 'text_model', // General text
-  'qa' = 'qa_model', // General QA
-  'parentChild' = 'hierarchical_model', // Parent-Child
+  text = 'text_model', // General text
+  qa = 'qa_model', // General QA
+  parentChild = 'hierarchical_model', // Parent-Child
 }
 
 export type DataSet = {
@@ -457,6 +457,7 @@ export type SegmentDetailModel = {
   position: number
   document_id: string
   content: string
+  sign_content: string
   word_count: number
   tokens: number
   keywords: string[]
@@ -525,6 +526,7 @@ export type Segment = {
   id: string
   document: Document
   content: string
+  sign_content: string
   position: number
   word_count: number
   tokens: number
diff --git a/web/models/debug.ts b/web/models/debug.ts
index 00a78f927a..301248b234 100644
--- a/web/models/debug.ts
+++ b/web/models/debug.ts
@@ -10,25 +10,25 @@ export enum PromptMode {
   advanced = 'advanced',
 }
 
-export type PromptItem = {
+export interface PromptItem {
   role?: PromptRole
   text: string
 }
 
-export type ChatPromptConfig = {
+export interface ChatPromptConfig {
   prompt: PromptItem[]
 }
 
-export type ConversationHistoriesRole = {
+export interface ConversationHistoriesRole {
   user_prefix: string
   assistant_prefix: string
 }
-export type CompletionPromptConfig = {
+export interface CompletionPromptConfig {
   prompt: PromptItem
   conversation_histories_role: ConversationHistoriesRole
 }
 
-export type BlockStatus = {
+export interface BlockStatus {
   context: boolean
   history: boolean
   query: boolean
@@ -40,7 +40,7 @@ export enum PromptRole {
   assistant = 'assistant',
 }
 
-export type PromptVariable = {
+export interface PromptVariable {
   key: string
   name: string
   type: string // "string" | "number" | "select",
@@ -55,7 +55,7 @@ export type PromptVariable = {
   icon_background?: string
 }
 
-export type CompletionParams = {
+export interface CompletionParams {
   max_tokens: number
   temperature: number
   top_p: number
@@ -66,12 +66,12 @@ export type CompletionParams = {
 
 export type ModelId = 'gpt-3.5-turbo' | 'text-davinci-003'
 
-export type PromptConfig = {
+export interface PromptConfig {
   prompt_template: string
   prompt_variables: PromptVariable[]
 }
 
-export type MoreLikeThisConfig = {
+export interface MoreLikeThisConfig {
   enabled: boolean
 }
 
@@ -79,7 +79,7 @@ export type SuggestedQuestionsAfterAnswerConfig = MoreLikeThisConfig
 
 export type SpeechToTextConfig = MoreLikeThisConfig
 
-export type TextToSpeechConfig = {
+export interface TextToSpeechConfig {
   enabled: boolean
   voice?: string
   language?: string
@@ -88,7 +88,7 @@ export type TextToSpeechConfig = {
 
 export type CitationConfig = MoreLikeThisConfig
 
-export type AnnotationReplyConfig = {
+export interface AnnotationReplyConfig {
   id: string
   enabled: boolean
   score_threshold: number
@@ -98,7 +98,7 @@ export type AnnotationReplyConfig = {
   }
 }
 
-export type ModerationContentConfig = {
+export interface ModerationContentConfig {
   enabled: boolean
   preset_response?: string
 }
@@ -113,14 +113,14 @@ export type ModerationConfig = MoreLikeThisConfig & {
 }
 
 export type RetrieverResourceConfig = MoreLikeThisConfig
-export type AgentConfig = {
+export interface AgentConfig {
   enabled: boolean
   strategy: AgentStrategy
   max_iteration: number
   tools: ToolItem[]
 }
 // frontend use. Not the same as backend
-export type ModelConfig = {
+export interface ModelConfig {
   provider: string // LLM Provider: for example "OPENAI"
   model_id: string
   mode: ModelModeType
@@ -138,12 +138,12 @@ export type ModelConfig = {
   dataSets: any[]
   agentConfig: AgentConfig
 }
-export type DatasetConfigItem = {
+export interface DatasetConfigItem {
   enable: boolean
   value: number
 }
 
-export type DatasetConfigs = {
+export interface DatasetConfigs {
   retrieval_model: RETRIEVE_TYPE
   reranking_model: {
     reranking_provider_name: string
@@ -172,39 +172,39 @@ export type DatasetConfigs = {
   reranking_enable?: boolean
 }
 
-export type DebugRequestBody = {
+export interface DebugRequestBody {
   inputs: Inputs
   query: string
   completion_params: CompletionParams
   model_config: ModelConfig
 }
 
-export type DebugResponse = {
+export interface DebugResponse {
   id: string
   answer: string
   created_at: string
 }
 
-export type DebugResponseStream = {
+export interface DebugResponseStream {
   id: string
   data: string
   created_at: string
 }
 
-export type FeedBackRequestBody = {
+export interface FeedBackRequestBody {
   message_id: string
   rating: 'like' | 'dislike'
   content?: string
   from_source: 'api' | 'log'
 }
 
-export type FeedBackResponse = {
+export interface FeedBackResponse {
   message_id: string
   rating: 'like' | 'dislike'
 }
 
 // Log session list
-export type LogSessionListQuery = {
+export interface LogSessionListQuery {
   keyword?: string
   start?: string // format datetime(YYYY-mm-dd HH:ii)
   end?: string // format datetime(YYYY-mm-dd HH:ii)
@@ -212,7 +212,7 @@ export type LogSessionListQuery = {
   limit: number // default 20. 1-100
 }
 
-export type LogSessionListResponse = {
+export interface LogSessionListResponse {
   data: {
     id: string
     conversation_id: string
@@ -226,7 +226,7 @@ export type LogSessionListResponse = {
 }
 
 // log session detail and debug
-export type LogSessionDetailResponse = {
+export interface LogSessionDetailResponse {
   id: string
   conversation_id: string
   model_provider: string
@@ -240,7 +240,7 @@ export type LogSessionDetailResponse = {
   from_source: 'api' | 'log'
 }
 
-export type SavedMessage = {
+export interface SavedMessage {
   id: string
   answer: string
 }
diff --git a/web/package.json b/web/package.json
index bd98a14337..a80dce141d 100644
--- a/web/package.json
+++ b/web/package.json
@@ -1,172 +1,187 @@
 {
   "name": "dify-web",
-  "version": "0.15.3",
+  "version": "1.0.0",
   "private": true,
   "engines": {
     "node": ">=18.17.0"
   },
   "scripts": {
-    "dev": "next dev",
+    "dev": "cross-env NODE_OPTIONS='--inspect' next dev",
     "build": "next build",
     "start": "cp -r .next/static .next/standalone/.next/static && cp -r public .next/standalone/public && cross-env PORT=$npm_config_port HOSTNAME=$npm_config_host node .next/standalone/server.js",
-    "lint": "next lint",
+    "lint": "pnpm eslint",
     "fix": "next lint --fix",
     "eslint-fix": "eslint --fix",
-    "prepare": "cd ../ && node -e \"if (process.env.NODE_ENV !== 'production'){process.exit(1)} \" || husky install ./web/.husky",
-    "gen-icons": "node ./app/components/base/icons/script.js",
+    "prepare": "cd ../ && node -e \"if (process.env.NODE_ENV !== 'production'){process.exit(1)} \" || husky ./web/.husky",
+    "gen-icons": "node ./app/components/base/icons/script.mjs",
     "uglify-embed": "node ./bin/uglify-embed",
     "check-i18n": "node ./i18n/check-i18n.js",
     "auto-gen-i18n": "node ./i18n/auto-gen-i18n.js",
     "test": "jest",
     "test:watch": "jest --watch",
     "storybook": "storybook dev -p 6006",
-    "build-storybook": "storybook build"
+    "build-storybook": "storybook build",
+    "preinstall": "npx only-allow pnpm"
   },
   "dependencies": {
     "@babel/runtime": "^7.22.3",
-    "@dagrejs/dagre": "^1.1.2",
-    "@emoji-mart/data": "^1.1.2",
-    "@floating-ui/react": "^0.25.2",
-    "@formatjs/intl-localematcher": "^0.5.4",
+    "@dagrejs/dagre": "^1.1.4",
+    "@emoji-mart/data": "^1.2.1",
+    "@eslint/compat": "^1.2.4",
+    "@floating-ui/react": "^0.26.25",
+    "@formatjs/intl-localematcher": "^0.5.6",
     "@headlessui/react": "^1.7.13",
     "@heroicons/react": "^2.0.16",
-    "@hookform/resolvers": "^3.3.4",
-    "@lexical/react": "^0.16.0",
-    "@mdx-js/loader": "^2.3.0",
-    "@mdx-js/react": "^2.3.0",
+    "@hookform/resolvers": "^3.9.0",
+    "@lexical/react": "^0.18.0",
+    "@mdx-js/loader": "^3.1.0",
+    "@mdx-js/react": "^3.1.0",
     "@monaco-editor/react": "^4.6.0",
     "@next/mdx": "^14.0.4",
+    "@octokit/core": "^6.1.2",
+    "@octokit/request-error": "^6.1.5",
     "@remixicon/react": "^4.5.0",
     "@sentry/react": "^7.54.0",
     "@sentry/utils": "^7.54.0",
     "@svgdotjs/svg.js": "^3.2.4",
-    "@tailwindcss/line-clamp": "^0.4.4",
-    "@tailwindcss/typography": "^0.5.9",
+    "@tailwindcss/typography": "^0.5.15",
     "@tanstack/react-query": "^5.60.5",
     "@tanstack/react-query-devtools": "^5.60.5",
-    "ahooks": "^3.7.5",
+    "ahooks": "^3.8.1",
     "class-variance-authority": "^0.7.0",
-    "classnames": "^2.3.2",
+    "classnames": "^2.5.1",
     "copy-to-clipboard": "^3.3.3",
     "crypto-js": "^4.2.0",
-    "dayjs": "^1.11.7",
+    "dayjs": "^1.11.13",
     "decimal.js": "^10.4.3",
     "echarts": "^5.5.1",
     "echarts-for-react": "^3.0.2",
     "elkjs": "^0.9.3",
     "emoji-mart": "^5.5.2",
     "fast-deep-equal": "^3.1.3",
-    "i18next": "^22.4.13",
-    "i18next-resources-to-backend": "^1.1.3",
+    "globals": "^15.11.0",
+    "i18next": "^23.16.4",
+    "i18next-resources-to-backend": "^1.2.1",
     "immer": "^9.0.19",
     "js-audio-recorder": "^1.0.7",
-    "js-cookie": "^3.0.1",
+    "js-cookie": "^3.0.5",
     "jwt-decode": "^4.0.0",
     "katex": "^0.16.21",
+    "ky": "^1.7.2",
     "lamejs": "^1.2.1",
-    "lexical": "^0.16.0",
+    "lexical": "^0.18.0",
     "line-clamp": "^1.0.0",
     "lodash-es": "^4.17.21",
     "mermaid": "11.4.1",
     "mime": "^4.0.4",
+    "mitt": "^3.0.1",
     "negotiator": "^0.6.3",
     "next": "^14.2.10",
-    "pinyin-pro": "^3.23.0",
-    "qrcode.react": "^3.1.0",
-    "qs": "^6.11.1",
-    "rc-textarea": "^1.5.2",
+    "pinyin-pro": "^3.25.0",
+    "qrcode.react": "^4.1.0",
+    "qs": "^6.13.0",
+    "rc-textarea": "^1.8.2",
     "react": "~18.2.0",
     "react-18-input-autosize": "^3.0.0",
     "react-dom": "~18.2.0",
-    "react-easy-crop": "^5.0.8",
-    "react-error-boundary": "^4.0.2",
-    "react-hook-form": "^7.51.4",
+    "react-easy-crop": "^5.1.0",
+    "react-error-boundary": "^4.1.2",
+    "react-headless-pagination": "^1.1.6",
+    "react-hook-form": "^7.53.1",
     "react-hotkeys-hook": "^4.6.1",
-    "react-i18next": "^12.2.0",
+    "react-i18next": "^15.1.0",
     "react-infinite-scroll-component": "^6.1.0",
-    "react-markdown": "^8.0.6",
-    "react-multi-email": "^1.0.14",
-    "react-papaparse": "^4.1.0",
+    "react-markdown": "^9.0.1",
+    "react-multi-email": "^1.0.25",
+    "react-papaparse": "^4.4.0",
     "react-pdf-highlighter": "^8.0.0-rc.0",
-    "react-slider": "^2.0.4",
+    "react-slider": "^2.0.6",
     "react-sortablejs": "^6.1.4",
-    "react-syntax-highlighter": "^15.5.0",
+    "react-syntax-highlighter": "^15.6.1",
     "react-tooltip": "5.8.3",
-    "react-window": "^1.8.9",
+    "react-window": "^1.8.10",
     "react-window-infinite-loader": "^1.0.9",
     "reactflow": "^11.11.3",
     "recordrtc": "^5.6.2",
-    "rehype-katex": "^6.0.2",
+    "rehype-katex": "^7.0.1",
     "rehype-raw": "^7.0.0",
-    "remark-breaks": "^3.0.2",
-    "remark-gfm": "^3.0.1",
-    "remark-math": "^5.1.1",
+    "remark-breaks": "^4.0.0",
+    "remark-gfm": "^4.0.0",
+    "remark-math": "^6.0.0",
     "scheduler": "^0.23.0",
+    "semver": "^7.6.3",
     "server-only": "^0.0.1",
     "sharp": "^0.33.2",
     "shave": "^5.0.4",
     "sortablejs": "^1.15.0",
     "swr": "^2.1.0",
-    "tailwind-merge": "^2.4.0",
-    "use-context-selector": "^1.4.1",
-    "uuid": "^9.0.1",
-    "zod": "^3.23.6",
+    "tailwind-merge": "^2.5.4",
+    "use-context-selector": "^2.0.0",
+    "uuid": "^10.0.0",
+    "zod": "^3.23.8",
     "zundo": "^2.1.0",
     "zustand": "^4.5.2"
   },
   "devDependencies": {
-    "@antfu/eslint-config": "^0.36.0",
-    "@chromatic-com/storybook": "^1.9.0",
-    "@faker-js/faker": "^7.6.0",
+    "@antfu/eslint-config": "^3.8.0",
+    "@chromatic-com/storybook": "^3.1.0",
+    "@eslint-react/eslint-plugin": "^1.15.0",
+    "@eslint/eslintrc": "^3.1.0",
+    "@eslint/js": "^9.13.0",
+    "@faker-js/faker": "^9.0.3",
     "@rgrove/parse-xml": "^4.1.0",
-    "@storybook/addon-essentials": "^8.3.5",
-    "@storybook/addon-interactions": "^8.3.5",
-    "@storybook/addon-links": "^8.3.5",
-    "@storybook/addon-onboarding": "^8.3.5",
-    "@storybook/addon-themes": "^8.3.5",
-    "@storybook/blocks": "^8.3.5",
-    "@storybook/nextjs": "^8.3.5",
-    "@storybook/react": "^8.3.5",
-    "@storybook/test": "^8.3.5",
-    "@testing-library/dom": "^10.3.2",
-    "@testing-library/jest-dom": "^6.4.6",
-    "@testing-library/react": "^16.0.0",
-    "@types/crypto-js": "^4.1.1",
+    "@storybook/addon-essentials": "^8.3.6",
+    "@storybook/addon-interactions": "^8.3.6",
+    "@storybook/addon-links": "^8.3.6",
+    "@storybook/addon-onboarding": "^8.3.6",
+    "@storybook/addon-themes": "^8.3.6",
+    "@storybook/blocks": "^8.3.6",
+    "@storybook/nextjs": "^8.3.6",
+    "@storybook/react": "^8.3.6",
+    "@storybook/test": "^8.3.6",
+    "@testing-library/dom": "^10.4.0",
+    "@testing-library/jest-dom": "^6.6.2",
+    "@testing-library/react": "^16.0.1",
+    "@types/crypto-js": "^4.2.2",
     "@types/dagre": "^0.7.52",
-    "@types/jest": "^29.5.12",
-    "@types/js-cookie": "^3.0.3",
-    "@types/lodash-es": "^4.17.7",
-    "@types/negotiator": "^0.6.1",
+    "@types/jest": "^29.5.13",
+    "@types/js-cookie": "^3.0.6",
+    "@types/lodash-es": "^4.17.12",
+    "@types/negotiator": "^0.6.3",
     "@types/node": "18.15.0",
-    "@types/qs": "^6.9.7",
+    "@types/qs": "^6.9.16",
     "@types/react": "~18.2.0",
     "@types/react-dom": "~18.2.0",
-    "@types/react-slider": "^1.3.1",
-    "@types/react-syntax-highlighter": "^15.5.6",
-    "@types/react-window": "^1.8.5",
-    "@types/react-window-infinite-loader": "^1.0.6",
-    "@types/recordrtc": "^5.6.11",
+    "@types/react-slider": "^1.3.6",
+    "@types/react-syntax-highlighter": "^15.5.13",
+    "@types/react-window": "^1.8.8",
+    "@types/react-window-infinite-loader": "^1.0.9",
+    "@types/recordrtc": "^5.6.14",
+    "@types/semver": "^7.5.8",
     "@types/sortablejs": "^1.15.1",
-    "@types/uuid": "^9.0.8",
-    "autoprefixer": "^10.4.14",
+    "@types/uuid": "^10.0.0",
+    "autoprefixer": "^10.4.20",
     "bing-translate-api": "^4.0.2",
     "code-inspector-plugin": "^0.18.1",
     "cross-env": "^7.0.3",
-    "eslint": "^8.36.0",
-    "eslint-config-next": "^14.0.4",
-    "eslint-plugin-storybook": "^0.9.0",
-    "husky": "^8.0.3",
+    "eslint": "^9.13.0",
+    "eslint-config-next": "^15.0.0",
+    "eslint-plugin-react-hooks": "^5.0.0",
+    "eslint-plugin-react-refresh": "^0.4.13",
+    "eslint-plugin-storybook": "^0.10.1",
+    "eslint-plugin-tailwindcss": "^3.17.5",
+    "husky": "^9.1.6",
     "jest": "^29.7.0",
     "jest-environment-jsdom": "^29.7.0",
-    "lint-staged": "^13.2.2",
+    "lint-staged": "^15.2.10",
     "magicast": "^0.3.4",
-    "postcss": "^8.4.31",
-    "sass": "^1.61.0",
-    "storybook": "^8.3.5",
-    "tailwindcss": "^3.4.4",
+    "postcss": "^8.4.47",
+    "sass": "^1.80.3",
+    "storybook": "^8.3.6",
+    "tailwindcss": "^3.4.14",
     "ts-node": "^10.9.2",
     "typescript": "4.9.5",
-    "uglify-js": "^3.17.4"
+    "uglify-js": "^3.19.3"
   },
   "resolutions": {
     "@types/react": "~18.2.0",
@@ -181,4 +196,4 @@
       "eslint --fix"
     ]
   }
-}
+}
\ No newline at end of file
diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml
new file mode 100644
index 0000000000..cd2101df52
--- /dev/null
+++ b/web/pnpm-lock.yaml
@@ -0,0 +1,18312 @@
+lockfileVersion: '9.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+overrides:
+  '@types/react': ~18.2.0
+  '@types/react-dom': ~18.2.0
+  string-width: 4.2.3
+
+importers:
+
+  .:
+    dependencies:
+      '@babel/runtime':
+        specifier: ^7.22.3
+        version: 7.25.7
+      '@dagrejs/dagre':
+        specifier: ^1.1.4
+        version: 1.1.4
+      '@emoji-mart/data':
+        specifier: ^1.2.1
+        version: 1.2.1
+      '@eslint/compat':
+        specifier: ^1.2.4
+        version: 1.2.4(eslint@9.13.0(jiti@1.21.6))
+      '@floating-ui/react':
+        specifier: ^0.26.25
+        version: 0.26.27(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      '@formatjs/intl-localematcher':
+        specifier: ^0.5.6
+        version: 0.5.6
+      '@headlessui/react':
+        specifier: ^1.7.13
+        version: 1.7.19(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      '@heroicons/react':
+        specifier: ^2.0.16
+        version: 2.1.5(react@18.2.0)
+      '@hookform/resolvers':
+        specifier: ^3.9.0
+        version: 3.9.0(react-hook-form@7.53.1(react@18.2.0))
+      '@lexical/react':
+        specifier: ^0.18.0
+        version: 0.18.0(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(yjs@13.6.20)
+      '@mdx-js/loader':
+        specifier: ^3.1.0
+        version: 3.1.0(acorn@8.13.0)(webpack@5.95.0(esbuild@0.23.1)(uglify-js@3.19.3))
+      '@mdx-js/react':
+        specifier: ^3.1.0
+        version: 3.1.0(@types/react@18.2.79)(react@18.2.0)
+      '@monaco-editor/react':
+        specifier: ^4.6.0
+        version: 4.6.0(monaco-editor@0.52.0)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      '@next/mdx':
+        specifier: ^14.0.4
+        version: 14.2.15(@mdx-js/loader@3.1.0(acorn@8.13.0)(webpack@5.95.0(esbuild@0.23.1)(uglify-js@3.19.3)))(@mdx-js/react@3.1.0(@types/react@18.2.79)(react@18.2.0))
+      '@octokit/core':
+        specifier: ^6.1.2
+        version: 6.1.2
+      '@octokit/request-error':
+        specifier: ^6.1.5
+        version: 6.1.5
+      '@remixicon/react':
+        specifier: ^4.5.0
+        version: 4.5.0(react@18.2.0)
+      '@sentry/react':
+        specifier: ^7.54.0
+        version: 7.119.2(react@18.2.0)
+      '@sentry/utils':
+        specifier: ^7.54.0
+        version: 7.119.2
+      '@svgdotjs/svg.js':
+        specifier: ^3.2.4
+        version: 3.2.4
+      '@tailwindcss/typography':
+        specifier: ^0.5.15
+        version: 0.5.15(tailwindcss@3.4.14(ts-node@10.9.2(@types/node@18.15.0)(typescript@4.9.5)))
+      '@tanstack/react-query':
+        specifier: ^5.60.5
+        version: 5.61.0(react@18.2.0)
+      '@tanstack/react-query-devtools':
+        specifier: ^5.60.5
+        version: 5.61.0(@tanstack/react-query@5.61.0(react@18.2.0))(react@18.2.0)
+      ahooks:
+        specifier: ^3.8.1
+        version: 3.8.1(react@18.2.0)
+      class-variance-authority:
+        specifier: ^0.7.0
+        version: 0.7.0
+      classnames:
+        specifier: ^2.5.1
+        version: 2.5.1
+      copy-to-clipboard:
+        specifier: ^3.3.3
+        version: 3.3.3
+      crypto-js:
+        specifier: ^4.2.0
+        version: 4.2.0
+      dayjs:
+        specifier: ^1.11.13
+        version: 1.11.13
+      decimal.js:
+        specifier: ^10.4.3
+        version: 10.4.3
+      echarts:
+        specifier: ^5.5.1
+        version: 5.5.1
+      echarts-for-react:
+        specifier: ^3.0.2
+        version: 3.0.2(echarts@5.5.1)(react@18.2.0)
+      elkjs:
+        specifier: ^0.9.3
+        version: 0.9.3
+      emoji-mart:
+        specifier: ^5.5.2
+        version: 5.6.0
+      fast-deep-equal:
+        specifier: ^3.1.3
+        version: 3.1.3
+      globals:
+        specifier: ^15.11.0
+        version: 15.11.0
+      i18next:
+        specifier: ^23.16.4
+        version: 23.16.4
+      i18next-resources-to-backend:
+        specifier: ^1.2.1
+        version: 1.2.1
+      immer:
+        specifier: ^9.0.19
+        version: 9.0.21
+      js-audio-recorder:
+        specifier: ^1.0.7
+        version: 1.0.7
+      js-cookie:
+        specifier: ^3.0.5
+        version: 3.0.5
+      jwt-decode:
+        specifier: ^4.0.0
+        version: 4.0.0
+      katex:
+        specifier: ^0.16.21
+        version: 0.16.21
+      ky:
+        specifier: ^1.7.2
+        version: 1.7.2
+      lamejs:
+        specifier: ^1.2.1
+        version: 1.2.1
+      lexical:
+        specifier: ^0.18.0
+        version: 0.18.0
+      line-clamp:
+        specifier: ^1.0.0
+        version: 1.0.0
+      lodash-es:
+        specifier: ^4.17.21
+        version: 4.17.21
+      mermaid:
+        specifier: 11.4.1
+        version: 11.4.1
+      mime:
+        specifier: ^4.0.4
+        version: 4.0.4
+      mitt:
+        specifier: ^3.0.1
+        version: 3.0.1
+      negotiator:
+        specifier: ^0.6.3
+        version: 0.6.4
+      next:
+        specifier: ^14.2.10
+        version: 14.2.15(@babel/core@7.25.8)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.80.3)
+      pinyin-pro:
+        specifier: ^3.25.0
+        version: 3.25.0
+      qrcode.react:
+        specifier: ^4.1.0
+        version: 4.1.0(react@18.2.0)
+      qs:
+        specifier: ^6.13.0
+        version: 6.13.0
+      rc-textarea:
+        specifier: ^1.8.2
+        version: 1.8.2(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react:
+        specifier: ~18.2.0
+        version: 18.2.0
+      react-18-input-autosize:
+        specifier: ^3.0.0
+        version: 3.0.0(react@18.2.0)
+      react-dom:
+        specifier: ~18.2.0
+        version: 18.2.0(react@18.2.0)
+      react-easy-crop:
+        specifier: ^5.1.0
+        version: 5.1.0(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-error-boundary:
+        specifier: ^4.1.2
+        version: 4.1.2(react@18.2.0)
+      react-headless-pagination:
+        specifier: ^1.1.6
+        version: 1.1.6(react@18.2.0)
+      react-hook-form:
+        specifier: ^7.53.1
+        version: 7.53.1(react@18.2.0)
+      react-hotkeys-hook:
+        specifier: ^4.6.1
+        version: 4.6.1(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-i18next:
+        specifier: ^15.1.0
+        version: 15.1.0(i18next@23.16.4)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-infinite-scroll-component:
+        specifier: ^6.1.0
+        version: 6.1.0(react@18.2.0)
+      react-markdown:
+        specifier: ^9.0.1
+        version: 9.0.1(@types/react@18.2.79)(react@18.2.0)
+      react-multi-email:
+        specifier: ^1.0.25
+        version: 1.0.25(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-papaparse:
+        specifier: ^4.4.0
+        version: 4.4.0
+      react-pdf-highlighter:
+        specifier: ^8.0.0-rc.0
+        version: 8.0.0-rc.0(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-slider:
+        specifier: ^2.0.6
+        version: 2.0.6(react@18.2.0)
+      react-sortablejs:
+        specifier: ^6.1.4
+        version: 6.1.4(@types/sortablejs@1.15.8)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sortablejs@1.15.3)
+      react-syntax-highlighter:
+        specifier: ^15.6.1
+        version: 15.6.1(react@18.2.0)
+      react-tooltip:
+        specifier: 5.8.3
+        version: 5.8.3(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-window:
+        specifier: ^1.8.10
+        version: 1.8.10(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      react-window-infinite-loader:
+        specifier: ^1.0.9
+        version: 1.0.9(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      reactflow:
+        specifier: ^11.11.3
+        version: 11.11.4(@types/react@18.2.79)(immer@9.0.21)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      recordrtc:
+        specifier: ^5.6.2
+        version: 5.6.2
+      rehype-katex:
+        specifier: ^7.0.1
+        version: 7.0.1
+      rehype-raw:
+        specifier: ^7.0.0
+        version: 7.0.0
+      remark-breaks:
+        specifier: ^4.0.0
+        version: 4.0.0
+      remark-gfm:
+        specifier: ^4.0.0
+        version: 4.0.0
+      remark-math:
+        specifier: ^6.0.0
+        version: 6.0.0
+      scheduler:
+        specifier: ^0.23.0
+        version: 0.23.2
+      semver:
+        specifier: ^7.6.3
+        version: 7.6.3
+      server-only:
+        specifier: ^0.0.1
+        version: 0.0.1
+      sharp:
+        specifier: ^0.33.2
+        version: 0.33.5
+      shave:
+        specifier: ^5.0.4
+        version: 5.0.4
+      sortablejs:
+        specifier: ^1.15.0
+        version: 1.15.3
+      swr:
+        specifier: ^2.1.0
+        version: 2.2.5(react@18.2.0)
+      tailwind-merge:
+        specifier: ^2.5.4
+        version: 2.5.4
+      use-context-selector:
+        specifier: ^2.0.0
+        version: 2.0.0(react@18.2.0)(scheduler@0.23.2)
+      uuid:
+        specifier: ^10.0.0
+        version: 10.0.0
+      zod:
+        specifier: ^3.23.8
+        version: 3.23.8
+      zundo:
+        specifier: ^2.1.0
+        version: 2.2.0(zustand@4.5.5(@types/react@18.2.79)(immer@9.0.21)(react@18.2.0))
+      zustand:
+        specifier: ^4.5.2
+        version: 4.5.5(@types/react@18.2.79)(immer@9.0.21)(react@18.2.0)
+    devDependencies:
+      '@antfu/eslint-config':
+        specifier: ^3.8.0
+        version: 3.8.0(@eslint-react/eslint-plugin@1.15.0(eslint@9.13.0(jiti@1.21.6))(typescript@4.9.5))(@typescript-eslint/utils@8.11.0(eslint@9.13.0(jiti@1.21.6))(typescript@4.9.5))(@vue/compiler-sfc@3.5.12)(eslint-plugin-react-hooks@5.0.0(eslint@9.13.0(jiti@1.21.6)))(eslint-plugin-react-refresh@0.4.13(eslint@9.13.0(jiti@1.21.6)))(eslint@9.13.0(jiti@1.21.6))(typescript@4.9.5)
+      '@chromatic-com/storybook':
+        specifier: ^3.1.0
+        version: 3.1.0(react@18.2.0)(storybook@8.3.6)
+      '@eslint-react/eslint-plugin':
+        specifier: ^1.15.0
+        version: 1.15.0(eslint@9.13.0(jiti@1.21.6))(typescript@4.9.5)
+      '@eslint/eslintrc':
+        specifier: ^3.1.0
+        version: 3.1.0
+      '@eslint/js':
+        specifier: ^9.13.0
+        version: 9.13.0
+      '@faker-js/faker':
+        specifier: ^9.0.3
+        version: 9.0.3
+      '@rgrove/parse-xml':
+        specifier: ^4.1.0
+        version: 4.1.0
+      '@storybook/addon-essentials':
+        specifier: ^8.3.6
+        version: 8.3.6(storybook@8.3.6)(webpack-sources@3.2.3)
+      '@storybook/addon-interactions':
+        specifier: ^8.3.6
+        version: 8.3.6(storybook@8.3.6)
+      '@storybook/addon-links':
+        specifier: ^8.3.6
+        version: 8.3.6(react@18.2.0)(storybook@8.3.6)
+      '@storybook/addon-onboarding':
+        specifier: ^8.3.6
+        version: 8.3.6(react@18.2.0)(storybook@8.3.6)
+      '@storybook/addon-themes':
+        specifier: ^8.3.6
+        version: 8.3.6(storybook@8.3.6)
+      '@storybook/blocks':
+        specifier: ^8.3.6
+        version: 8.3.6(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(storybook@8.3.6)
+      '@storybook/nextjs':
+        specifier: ^8.3.6
+        version: 8.3.6(esbuild@0.23.1)(next@14.2.15(@babel/core@7.25.8)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.80.3))(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(sass@1.80.3)(storybook@8.3.6)(type-fest@2.19.0)(typescript@4.9.5)(uglify-js@3.19.3)(webpack-hot-middleware@2.26.1)(webpack@5.95.0(esbuild@0.23.1)(uglify-js@3.19.3))
+      '@storybook/react':
+        specifier: ^8.3.6
+        version: 8.3.6(@storybook/test@8.3.6(storybook@8.3.6))(react-dom@18.2.0(react@18.2.0))(react@18.2.0)(storybook@8.3.6)(typescript@4.9.5)
+      '@storybook/test':
+        specifier: ^8.3.6
+        version: 8.3.6(storybook@8.3.6)
+      '@testing-library/dom':
+        specifier: ^10.4.0
+        version: 10.4.0
+      '@testing-library/jest-dom':
+        specifier: ^6.6.2
+        version: 6.6.2
+      '@testing-library/react':
+        specifier: ^16.0.1
+        version: 16.0.1(@testing-library/dom@10.4.0)(@types/react-dom@18.2.25)(@types/react@18.2.79)(react-dom@18.2.0(react@18.2.0))(react@18.2.0)
+      '@types/crypto-js':
+        specifier: ^4.2.2
+        version: 4.2.2
+      '@types/dagre':
+        specifier: ^0.7.52
+        version: 0.7.52
+      '@types/jest':
+        specifier: ^29.5.13
+        version: 29.5.13
+      '@types/js-cookie':
+        specifier: ^3.0.6
+        version: 3.0.6
+      '@types/lodash-es':
+        specifier: ^4.17.12
+        version: 4.17.12
+      '@types/negotiator':
+        specifier: ^0.6.3
+        version: 0.6.3
+      '@types/node':
+        specifier: 18.15.0
+        version: 18.15.0
+      '@types/qs':
+        specifier: ^6.9.16
+        version: 6.9.16
+      '@types/react':
+        specifier: ~18.2.0
+        version: 18.2.79
+      '@types/react-dom':
+        specifier: ~18.2.0
+        version: 18.2.25
+      '@types/react-slider':
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HcmV?d00001

diff --git a/web/service/base.ts b/web/service/base.ts
index 22b1a43ad1..38aaae0b1c 100644
--- a/web/service/base.ts
+++ b/web/service/base.ts
@@ -1,9 +1,10 @@
-import { refreshAccessTokenOrRelogin } from './refresh-token'
 import { API_PREFIX, IS_CE_EDITION, PUBLIC_API_PREFIX } from '@/config'
+import { refreshAccessTokenOrRelogin } from './refresh-token'
 import Toast from '@/app/components/base/toast'
 import type { AnnotationReply, MessageEnd, MessageReplace, ThoughtItem } from '@/app/components/base/chat/chat/type'
 import type { VisionFile } from '@/types/app'
 import type {
+  AgentLogResponse,
   IterationFinishedResponse,
   IterationNextResponse,
   IterationStartedResponse,
@@ -17,28 +18,11 @@ import type {
   WorkflowStartedResponse,
 } from '@/types/workflow'
 import { removeAccessToken } from '@/app/components/share/utils'
+import type { FetchOptionType, ResponseError } from './fetch'
+import { ContentType, base, baseOptions, getAccessToken } from './fetch'
 import { asyncRunSafe } from '@/utils'
 const TIME_OUT = 100000
 
-const ContentType = {
-  json: 'application/json',
-  stream: 'text/event-stream',
-  audio: 'audio/mpeg',
-  form: 'application/x-www-form-urlencoded; charset=UTF-8',
-  download: 'application/octet-stream', // for download
-  upload: 'multipart/form-data', // for upload
-}
-
-const baseOptions = {
-  method: 'GET',
-  mode: 'cors',
-  credentials: 'include', // always send cookies、HTTP Basic authentication.
-  headers: new Headers({
-    'Content-Type': ContentType.json,
-  }),
-  redirect: 'follow',
-}
-
 export type IOnDataMoreInfo = {
   conversationId?: string
   taskId?: string
@@ -70,9 +54,11 @@ export type IOnTextChunk = (textChunk: TextChunkResponse) => void
 export type IOnTTSChunk = (messageId: string, audioStr: string, audioType?: string) => void
 export type IOnTTSEnd = (messageId: string, audioStr: string, audioType?: string) => void
 export type IOnTextReplace = (textReplace: TextReplaceResponse) => void
+export type IOnAgentLog = (agentLog: AgentLogResponse) => void
 
 export type IOtherOptions = {
   isPublicAPI?: boolean
+  isMarketplaceAPI?: boolean
   bodyStringify?: boolean
   needAllResponseContent?: boolean
   deleteContentType?: boolean
@@ -100,17 +86,7 @@ export type IOtherOptions = {
   onTTSChunk?: IOnTTSChunk
   onTTSEnd?: IOnTTSEnd
   onTextReplace?: IOnTextReplace
-}
-
-type ResponseError = {
-  code: string
-  message: string
-  status: number
-}
-
-type FetchOptionType = Omit<RequestInit, 'body'> & {
-  params?: Record<string, any>
-  body?: BodyInit | Record<string, any> | null
+  onAgentLog?: IOnAgentLog
 }
 
 function unicodeToChar(text: string) {
@@ -118,7 +94,7 @@ function unicodeToChar(text: string) {
     return ''
 
   return text.replace(/\\u[0-9a-f]{4}/g, (_match, p1) => {
-    return String.fromCharCode(parseInt(p1, 16))
+    return String.fromCharCode(Number.parseInt(p1, 16))
   })
 }
 
@@ -126,24 +102,6 @@ function requiredWebSSOLogin() {
   globalThis.location.href = `/webapp-signin?redirect_url=${globalThis.location.pathname}`
 }
 
-function getAccessToken(isPublicAPI?: boolean) {
-  if (isPublicAPI) {
-    const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0]
-    const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' })
-    let accessTokenJson = { [sharedToken]: '' }
-    try {
-      accessTokenJson = JSON.parse(accessToken)
-    }
-    catch (e) {
-
-    }
-    return accessTokenJson[sharedToken]
-  }
-  else {
-    return localStorage.getItem('console_token') || ''
-  }
-}
-
 export function format(text: string) {
   let res = text.trim()
   if (res.startsWith('\n'))
@@ -174,6 +132,7 @@ const handleStream = (
   onTTSChunk?: IOnTTSChunk,
   onTTSEnd?: IOnTTSEnd,
   onTextReplace?: IOnTextReplace,
+  onAgentLog?: IOnAgentLog,
 ) => {
   if (!response.ok)
     throw new Error('Network response was not ok')
@@ -274,6 +233,9 @@ const handleStream = (
             else if (bufferObj.event === 'text_replace') {
               onTextReplace?.(bufferObj as TextReplaceResponse)
             }
+            else if (bufferObj.event === 'agent_log') {
+              onAgentLog?.(bufferObj as AgentLogResponse)
+            }
             else if (bufferObj.event === 'tts_message') {
               onTTSChunk?.(bufferObj.message_id, bufferObj.audio, bufferObj.audio_type)
             }
@@ -301,115 +263,7 @@ const handleStream = (
   read()
 }
 
-const baseFetch = <T>(
-  url: string,
-  fetchOptions: FetchOptionType,
-  {
-    isPublicAPI = false,
-    bodyStringify = true,
-    needAllResponseContent,
-    deleteContentType,
-    getAbortController,
-    silent,
-  }: IOtherOptions,
-): Promise<T> => {
-  const options: typeof baseOptions & FetchOptionType = Object.assign({}, baseOptions, fetchOptions)
-  if (getAbortController) {
-    const abortController = new AbortController()
-    getAbortController(abortController)
-    options.signal = abortController.signal
-  }
-  const accessToken = getAccessToken(isPublicAPI)
-  options.headers.set('Authorization', `Bearer ${accessToken}`)
-
-  if (deleteContentType) {
-    options.headers.delete('Content-Type')
-  }
-  else {
-    const contentType = options.headers.get('Content-Type')
-    if (!contentType)
-      options.headers.set('Content-Type', ContentType.json)
-  }
-
-  const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX
-  let urlWithPrefix = (url.startsWith('http://') || url.startsWith('https://'))
-    ? url
-    : `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}`
-
-  const { method, params, body } = options
-  // handle query
-  if (method === 'GET' && params) {
-    const paramsArray: string[] = []
-    Object.keys(params).forEach(key =>
-      paramsArray.push(`${key}=${encodeURIComponent(params[key])}`),
-    )
-    if (urlWithPrefix.search(/\?/) === -1)
-      urlWithPrefix += `?${paramsArray.join('&')}`
-
-    else
-      urlWithPrefix += `&${paramsArray.join('&')}`
-
-    delete options.params
-  }
-
-  if (body && bodyStringify)
-    options.body = JSON.stringify(body)
-
-  // Handle timeout
-  return Promise.race([
-    new Promise((resolve, reject) => {
-      setTimeout(() => {
-        reject(new Error('request timeout'))
-      }, TIME_OUT)
-    }),
-    new Promise((resolve, reject) => {
-      globalThis.fetch(urlWithPrefix, options as RequestInit)
-        .then((res) => {
-          const resClone = res.clone()
-          // Error handler
-          if (!/^(2|3)\d{2}$/.test(String(res.status))) {
-            const bodyJson = res.json()
-            switch (res.status) {
-              case 401:
-                return Promise.reject(resClone)
-              case 403:
-                bodyJson.then((data: ResponseError) => {
-                  if (!silent)
-                    Toast.notify({ type: 'error', message: data.message })
-                  if (data.code === 'already_setup')
-                    globalThis.location.href = `${globalThis.location.origin}/signin`
-                })
-                break
-              // fall through
-              default:
-                bodyJson.then((data: ResponseError) => {
-                  if (!silent)
-                    Toast.notify({ type: 'error', message: data.message })
-                })
-            }
-            return Promise.reject(resClone)
-          }
-
-          // handle delete api. Delete api not return content.
-          if (res.status === 204) {
-            resolve({ result: 'success' })
-            return
-          }
-
-          // return data
-          if (options.headers.get('Content-type') === ContentType.download || options.headers.get('Content-type') === ContentType.audio)
-            resolve(needAllResponseContent ? resClone : res.blob())
-
-          else resolve(needAllResponseContent ? resClone : res.json())
-        })
-        .catch((err) => {
-          if (!silent)
-            Toast.notify({ type: 'error', message: err })
-          reject(err)
-        })
-    }),
-  ]) as Promise<T>
-}
+const baseFetch = base
 
 export const upload = (options: any, isPublicAPI?: boolean, url?: string, searchParams?: string): Promise<any> => {
   const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX
@@ -475,19 +329,25 @@ export const ssePost = (
     onTTSChunk,
     onTTSEnd,
     onTextReplace,
+    onAgentLog,
     onError,
     getAbortController,
   } = otherOptions
   const abortController = new AbortController()
 
+  const token = localStorage.getItem('console_token')
+
   const options = Object.assign({}, baseOptions, {
     method: 'POST',
     signal: abortController.signal,
-  }, fetchOptions)
+    headers: new Headers({
+      Authorization: `Bearer ${token}`,
+    }),
+  } as RequestInit, fetchOptions)
 
-  const contentType = options.headers.get('Content-Type')
+  const contentType = (options.headers as Headers).get('Content-Type')
   if (!contentType)
-    options.headers.set('Content-Type', ContentType.json)
+    (options.headers as Headers).set('Content-Type', ContentType.json)
 
   getAbortController?.(abortController)
 
@@ -501,7 +361,7 @@ export const ssePost = (
     options.body = JSON.stringify(body)
 
   const accessToken = getAccessToken(isPublicAPI)
-  options.headers.set('Authorization', `Bearer ${accessToken}`)
+  options.headers!.set('Authorization', `Bearer ${accessToken}`)
 
   globalThis.fetch(urlWithPrefix, options as RequestInit)
     .then((res) => {
@@ -540,7 +400,7 @@ export const ssePost = (
           return
         }
         onData?.(str, isFirstMessage, moreInfo)
-      }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onNodeRetry, onParallelBranchStarted, onParallelBranchFinished, onTextChunk, onTTSChunk, onTTSEnd, onTextReplace)
+      }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onNodeRetry, onParallelBranchStarted, onParallelBranchFinished, onTextChunk, onTTSChunk, onTTSEnd, onTextReplace, onAgentLog)
     }).catch((e) => {
       if (e.toString() !== 'AbortError: The user aborted a request.' && !e.toString().errorMessage.includes('TypeError: Cannot assign to read only property'))
         Toast.notify({ type: 'error', message: e })
@@ -633,10 +493,20 @@ export const getPublic = <T>(url: string, options = {}, otherOptions?: IOtherOpt
   return get<T>(url, options, { ...otherOptions, isPublicAPI: true })
 }
 
+// For Marketplace API
+export const getMarketplace = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => {
+  return get<T>(url, options, { ...otherOptions, isMarketplaceAPI: true })
+}
+
 export const post = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => {
   return request<T>(url, Object.assign({}, options, { method: 'POST' }), otherOptions)
 }
 
+// For Marketplace API
+export const postMarketplace = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => {
+  return post<T>(url, options, { ...otherOptions, isMarketplaceAPI: true })
+}
+
 export const postPublic = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => {
   return post<T>(url, options, { ...otherOptions, isPublicAPI: true })
 }
diff --git a/web/service/common.ts b/web/service/common.ts
index 5910965ec2..770b839668 100644
--- a/web/service/common.ts
+++ b/web/service/common.ts
@@ -257,10 +257,6 @@ export const fetchFileUploadConfig: Fetcher<FileUploadConfigResponse, { url: str
   return get<FileUploadConfigResponse>(url)
 }
 
-export const fetchFreeQuotaVerify: Fetcher<{ result: string; flag: boolean; reason: string }, string> = (url) => {
-  return get(url) as Promise<{ result: string; flag: boolean; reason: string }>
-}
-
 export const fetchNotionConnection: Fetcher<{ data: string }, string> = (url) => {
   return get(url) as Promise<{ data: string }>
 }
@@ -298,7 +294,7 @@ export const moderate = (url: string, body: { app_id: string; text: string }) =>
 }
 
 type RetrievalMethodsRes = {
-  'retrieval_method': RETRIEVE_METHOD[]
+  retrieval_method: RETRIEVE_METHOD[]
 }
 export const fetchSupportRetrievalMethods: Fetcher<RetrievalMethodsRes, string> = (url) => {
   return get<RetrievalMethodsRes>(url)
diff --git a/web/service/debug.ts b/web/service/debug.ts
index 3770c4d398..093cddfd62 100644
--- a/web/service/debug.ts
+++ b/web/service/debug.ts
@@ -3,13 +3,13 @@ import type { IOnCompleted, IOnData, IOnError, IOnFile, IOnMessageEnd, IOnMessag
 import type { ChatPromptConfig, CompletionPromptConfig } from '@/models/debug'
 import type { ModelModeType } from '@/types/app'
 import type { ModelParameterRule } from '@/app/components/header/account-setting/model-provider-page/declarations'
-export type AutomaticRes = {
+export interface AutomaticRes {
   prompt: string
   variables: string[]
   opening_statement: string
   error?: string
 }
-export type CodeGenRes = {
+export interface CodeGenRes {
   code: string
   language: string[]
   error?: string
diff --git a/web/service/fetch.ts b/web/service/fetch.ts
new file mode 100644
index 0000000000..10643173bc
--- /dev/null
+++ b/web/service/fetch.ts
@@ -0,0 +1,205 @@
+import type { AfterResponseHook, BeforeErrorHook, BeforeRequestHook, Hooks } from 'ky'
+import ky from 'ky'
+import type { IOtherOptions } from './base'
+import Toast from '@/app/components/base/toast'
+import { API_PREFIX, MARKETPLACE_API_PREFIX, PUBLIC_API_PREFIX } from '@/config'
+
+const TIME_OUT = 100000
+
+export const ContentType = {
+  json: 'application/json',
+  stream: 'text/event-stream',
+  audio: 'audio/mpeg',
+  form: 'application/x-www-form-urlencoded; charset=UTF-8',
+  download: 'application/octet-stream', // for download
+  downloadZip: 'application/zip', // for download
+  upload: 'multipart/form-data', // for upload
+}
+
+export type FetchOptionType = Omit<RequestInit, 'body'> & {
+  params?: Record<string, any>
+  body?: BodyInit | Record<string, any> | null
+}
+
+const afterResponse204: AfterResponseHook = async (_request, _options, response) => {
+  if (response.status === 204) return Response.json({ result: 'success' })
+}
+
+export type ResponseError = {
+  code: string
+  message: string
+  status: number
+}
+
+const afterResponseErrorCode = (otherOptions: IOtherOptions): AfterResponseHook => {
+  return async (_request, _options, response) => {
+    const clonedResponse = response.clone()
+    if (!/^(2|3)\d{2}$/.test(String(clonedResponse.status))) {
+      const bodyJson = clonedResponse.json() as Promise<ResponseError>
+      switch (clonedResponse.status) {
+        case 403:
+          bodyJson.then((data: ResponseError) => {
+            if (!otherOptions.silent)
+              Toast.notify({ type: 'error', message: data.message })
+            if (data.code === 'already_setup')
+              globalThis.location.href = `${globalThis.location.origin}/signin`
+          })
+          break
+        case 401:
+          return Promise.reject(response)
+        // fall through
+        default:
+          bodyJson.then((data: ResponseError) => {
+            if (!otherOptions.silent)
+              Toast.notify({ type: 'error', message: data.message })
+          })
+          return Promise.reject(response)
+      }
+    }
+  }
+}
+
+const beforeErrorToast = (otherOptions: IOtherOptions): BeforeErrorHook => {
+  return (error) => {
+    if (!otherOptions.silent)
+      Toast.notify({ type: 'error', message: error.message })
+    return error
+  }
+}
+
+export const getPublicToken = () => {
+  let token = ''
+  const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0]
+  const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' })
+  let accessTokenJson = { [sharedToken]: '' }
+  try {
+    accessTokenJson = JSON.parse(accessToken)
+  }
+  catch { }
+  token = accessTokenJson[sharedToken]
+  return token || ''
+}
+
+export function getAccessToken(isPublicAPI?: boolean) {
+  if (isPublicAPI) {
+    const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0]
+    const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' })
+    let accessTokenJson = { [sharedToken]: '' }
+    try {
+      accessTokenJson = JSON.parse(accessToken)
+    }
+    catch (e) {
+
+    }
+    return accessTokenJson[sharedToken]
+  }
+  else {
+    return localStorage.getItem('console_token') || ''
+  }
+}
+
+const beforeRequestPublicAuthorization: BeforeRequestHook = (request) => {
+  const token = getAccessToken(true)
+  request.headers.set('Authorization', `Bearer ${token}`)
+}
+
+const beforeRequestAuthorization: BeforeRequestHook = (request) => {
+  const accessToken = getAccessToken()
+  request.headers.set('Authorization', `Bearer ${accessToken}`)
+}
+
+const baseHooks: Hooks = {
+  afterResponse: [
+    afterResponse204,
+  ],
+}
+
+const baseClient = ky.create({
+  hooks: baseHooks,
+  timeout: TIME_OUT,
+})
+
+export const baseOptions: RequestInit = {
+  method: 'GET',
+  mode: 'cors',
+  credentials: 'include', // always send cookies、HTTP Basic authentication.
+  headers: new Headers({
+    'Content-Type': ContentType.json,
+  }),
+  redirect: 'follow',
+}
+
+async function base<T>(url: string, options: FetchOptionType = {}, otherOptions: IOtherOptions = {}): Promise<T> {
+  const { params, body, headers, ...init } = Object.assign({}, baseOptions, options)
+  const {
+    isPublicAPI = false,
+    isMarketplaceAPI = false,
+    bodyStringify = true,
+    needAllResponseContent,
+    deleteContentType,
+    getAbortController,
+  } = otherOptions
+
+  const base
+    = isMarketplaceAPI
+      ? MARKETPLACE_API_PREFIX
+      : isPublicAPI
+        ? PUBLIC_API_PREFIX
+        : API_PREFIX
+
+  if (getAbortController) {
+    const abortController = new AbortController()
+    getAbortController(abortController)
+    options.signal = abortController.signal
+  }
+
+  const fetchPathname = `${base}${url.startsWith('/') ? url : `/${url}`}`
+
+  if (deleteContentType)
+    (headers as any).delete('Content-Type')
+
+  const client = baseClient.extend({
+    hooks: {
+      ...baseHooks,
+      beforeError: [
+        ...baseHooks.beforeError || [],
+        beforeErrorToast(otherOptions),
+      ],
+      beforeRequest: [
+        ...baseHooks.beforeRequest || [],
+        isPublicAPI && beforeRequestPublicAuthorization,
+        !isPublicAPI && !isMarketplaceAPI && beforeRequestAuthorization,
+      ].filter(Boolean),
+      afterResponse: [
+        ...baseHooks.afterResponse || [],
+        afterResponseErrorCode(otherOptions),
+      ],
+    },
+  })
+
+  const res = await client(fetchPathname, {
+    ...init,
+    headers,
+    credentials: isMarketplaceAPI
+      ? 'omit'
+      : (options.credentials || 'include'),
+    retry: {
+      methods: [],
+    },
+    ...(bodyStringify ? { json: body } : { body: body as BodyInit }),
+    searchParams: params,
+  })
+
+  if (needAllResponseContent)
+    return res as T
+  const contentType = res.headers.get('content-type')
+  if (
+    contentType
+    && [ContentType.download, ContentType.audio, ContentType.downloadZip].includes(contentType)
+  )
+    return await res.blob() as T
+
+  return await res.json() as T
+}
+
+export { base }
diff --git a/web/service/knowledge/use-create-dataset.ts b/web/service/knowledge/use-create-dataset.ts
index ecd3f87a93..88ef1d9ffa 100644
--- a/web/service/knowledge/use-create-dataset.ts
+++ b/web/service/knowledge/use-create-dataset.ts
@@ -2,7 +2,7 @@ import groupBy from 'lodash-es/groupBy'
 import type { MutationOptions } from '@tanstack/react-query'
 import { useMutation } from '@tanstack/react-query'
 import { createDocument, createFirstDocument, fetchDefaultProcessRule, fetchFileIndexingEstimate } from '../datasets'
-import { type IndexingType } from '@/app/components/datasets/create/step-two'
+import type { IndexingType } from '@/app/components/datasets/create/step-two'
 import type { ChunkingMode, CrawlOptions, CrawlResultItem, CreateDocumentReq, CustomFile, DataSourceType, FileIndexingEstimateResponse, IndexingEstimateParams, NotionInfo, ProcessRule, ProcessRuleResponse, createDocumentResponse } from '@/models/datasets'
 import type { DataSourceProvider, NotionPage } from '@/models/common'
 
diff --git a/web/service/plugins.ts b/web/service/plugins.ts
new file mode 100644
index 0000000000..0a880b865f
--- /dev/null
+++ b/web/service/plugins.ts
@@ -0,0 +1,108 @@
+import type { Fetcher } from 'swr'
+import { get, getMarketplace, post, upload } from './base'
+import type {
+  Dependency,
+  InstallPackageResponse,
+  Permissions,
+  PluginDeclaration,
+  PluginInfoFromMarketPlace,
+  PluginManifestInMarket,
+  PluginTasksResponse,
+  TaskStatusResponse,
+  UninstallPluginResponse,
+  updatePackageResponse,
+  uploadGitHubResponse,
+} from '@/app/components/plugins/types'
+import type {
+  MarketplaceCollectionPluginsResponse,
+  MarketplaceCollectionsResponse,
+} from '@/app/components/plugins/marketplace/types'
+
+export const uploadFile = async (file: File, isBundle: boolean) => {
+  const formData = new FormData()
+  formData.append(isBundle ? 'bundle' : 'pkg', file)
+  return upload({
+    xhr: new XMLHttpRequest(),
+    data: formData,
+  }, false, `/workspaces/current/plugin/upload/${isBundle ? 'bundle' : 'pkg'}`)
+}
+
+export const updateFromMarketPlace = async (body: Record<string, string>) => {
+  return post<InstallPackageResponse>('/workspaces/current/plugin/upgrade/marketplace', {
+    body,
+  })
+}
+
+export const updateFromGitHub = async (repoUrl: string, selectedVersion: string, selectedPackage: string,
+  originalPlugin: string, newPlugin: string) => {
+  return post<updatePackageResponse>('/workspaces/current/plugin/upgrade/github', {
+    body: {
+      repo: repoUrl,
+      version: selectedVersion,
+      package: selectedPackage,
+      original_plugin_unique_identifier: originalPlugin,
+      new_plugin_unique_identifier: newPlugin,
+    },
+  })
+}
+
+export const uploadGitHub = async (repoUrl: string, selectedVersion: string, selectedPackage: string) => {
+  return post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', {
+    body: {
+      repo: repoUrl,
+      version: selectedVersion,
+      package: selectedPackage,
+    },
+  })
+}
+
+export const fetchIcon = (tenantId: string, fileName: string) => {
+  return get(`workspaces/current/plugin/icon?tenant_id=${tenantId}&filename=${fileName}`)
+}
+
+export const fetchManifest = async (uniqueIdentifier: string) => {
+  return get<PluginDeclaration>(`/workspaces/current/plugin/fetch-manifest?plugin_unique_identifier=${uniqueIdentifier}`)
+}
+
+export const fetchManifestFromMarketPlace = async (uniqueIdentifier: string) => {
+  return getMarketplace<{ data: { plugin: PluginManifestInMarket, version: { version: string } } }>(`/plugins/identifier?unique_identifier=${uniqueIdentifier}`)
+}
+
+export const fetchBundleInfoFromMarketPlace = async ({
+  org,
+  name,
+  version,
+}: Record<string, string>) => {
+  return getMarketplace<{ data: { version: { dependencies: Dependency[] } } }>(`/bundles/${org}/${name}/${version}`)
+}
+
+export const fetchPluginInfoFromMarketPlace = async ({
+  org,
+  name,
+}: Record<string, string>) => {
+  return getMarketplace<{ data: { plugin: PluginInfoFromMarketPlace, version: { version: string } } }>(`/plugins/${org}/${name}`)
+}
+
+export const fetchMarketplaceCollections: Fetcher<MarketplaceCollectionsResponse, { url: string; }> = ({ url }) => {
+  return get<MarketplaceCollectionsResponse>(url)
+}
+
+export const fetchMarketplaceCollectionPlugins: Fetcher<MarketplaceCollectionPluginsResponse, { url: string }> = ({ url }) => {
+  return get<MarketplaceCollectionPluginsResponse>(url)
+}
+
+export const fetchPluginTasks = async () => {
+  return get<PluginTasksResponse>('/workspaces/current/plugin/tasks?page=1&page_size=255')
+}
+
+export const checkTaskStatus = async (taskId: string) => {
+  return get<TaskStatusResponse>(`/workspaces/current/plugin/tasks/${taskId}`)
+}
+
+export const updatePermission = async (permissions: Permissions) => {
+  return post('/workspaces/current/plugin/permission/change', { body: permissions })
+}
+
+export const uninstallPlugin = async (pluginId: string) => {
+  return post<UninstallPluginResponse>('/workspaces/current/plugin/uninstall', { body: { plugin_installation_id: pluginId } })
+}
diff --git a/web/service/strategy.ts b/web/service/strategy.ts
new file mode 100644
index 0000000000..bb032ba286
--- /dev/null
+++ b/web/service/strategy.ts
@@ -0,0 +1,10 @@
+import type { StrategyPluginDetail } from '@/app/components/plugins/types'
+import { get } from './base'
+
+export const fetchStrategyList = () => {
+  return get<StrategyPluginDetail[]>('/workspaces/current/agent-providers')
+}
+
+export const fetchStrategyDetail = (agentProvider: string) => {
+  return get<StrategyPluginDetail>(`/workspaces/current/agent-provider/${agentProvider}`)
+}
diff --git a/web/service/tools.ts b/web/service/tools.ts
index 90221edec2..d6b2f2034b 100644
--- a/web/service/tools.ts
+++ b/web/service/tools.ts
@@ -15,6 +15,10 @@ export const fetchCollectionList = () => {
   return get<Collection[]>('/workspaces/current/tool-providers')
 }
 
+export const fetchCollectionDetail = (collectionName: string) => {
+  return get<Collection>(`/workspaces/current/tool-provider/${collectionName}/info`)
+}
+
 export const fetchBuiltInToolList = (collectionName: string) => {
   return get<Tool[]>(`/workspaces/current/tool-provider/builtin/${collectionName}/tools`)
 }
diff --git a/web/service/use-apps.ts b/web/service/use-apps.ts
new file mode 100644
index 0000000000..1a3e9cedbb
--- /dev/null
+++ b/web/service/use-apps.ts
@@ -0,0 +1,27 @@
+import { get } from './base'
+import type { App } from '@/types/app'
+import type { AppListResponse } from '@/models/app'
+import { useInvalid } from './use-base'
+import { useQuery } from '@tanstack/react-query'
+
+const NAME_SPACE = 'apps'
+
+// TODO paging for list
+const useAppFullListKey = [NAME_SPACE, 'full-list']
+export const useAppFullList = () => {
+  return useQuery<AppListResponse>({
+    queryKey: useAppFullListKey,
+    queryFn: () => get<AppListResponse>('/apps', { params: { page: 1, limit: 100 } }),
+  })
+}
+
+export const useInvalidateAppFullList = () => {
+  return useInvalid(useAppFullListKey)
+}
+
+export const useAppDetail = (appID: string) => {
+  return useQuery<App>({
+    queryKey: [NAME_SPACE, 'detail', appID],
+    queryFn: () => get<App>(`/apps/${appID}`),
+  })
+}
diff --git a/web/service/use-common.ts b/web/service/use-common.ts
new file mode 100644
index 0000000000..98ab535948
--- /dev/null
+++ b/web/service/use-common.ts
@@ -0,0 +1,14 @@
+import { get } from './base'
+import type {
+  FileUploadConfigResponse,
+} from '@/models/common'
+import { useQuery } from '@tanstack/react-query'
+
+const NAME_SPACE = 'common'
+
+export const useFileUploadConfig = () => {
+  return useQuery<FileUploadConfigResponse>({
+    queryKey: [NAME_SPACE, 'file-upload-config'],
+    queryFn: () => get<FileUploadConfigResponse>('/files/upload'),
+  })
+}
diff --git a/web/service/use-endpoints.ts b/web/service/use-endpoints.ts
new file mode 100644
index 0000000000..43a82480b9
--- /dev/null
+++ b/web/service/use-endpoints.ts
@@ -0,0 +1,149 @@
+import { get, post } from './base'
+import type {
+  EndpointsResponse,
+} from '@/app/components/plugins/types'
+import {
+  useMutation,
+  useQuery,
+  useQueryClient,
+} from '@tanstack/react-query'
+
+const NAME_SPACE = 'endpoints'
+
+export const useEndpointList = (pluginID: string) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'list', pluginID],
+    queryFn: () => get<EndpointsResponse>('/workspaces/current/endpoints/list/plugin', {
+      params: {
+        plugin_id: pluginID,
+        page: 1,
+        page_size: 100,
+      },
+    }),
+  })
+}
+
+export const useInvalidateEndpointList = () => {
+  const queryClient = useQueryClient()
+  return (pluginID: string) => {
+    queryClient.invalidateQueries(
+      {
+        queryKey: [NAME_SPACE, 'list', pluginID],
+      })
+  }
+}
+
+export const useCreateEndpoint = ({
+  onSuccess,
+  onError,
+}: {
+  onSuccess?: () => void
+  onError?: (error: any) => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'create'],
+    mutationFn: (payload: { pluginUniqueID: string, state: Record<string, any> }) => {
+      const { pluginUniqueID, state } = payload
+      const newName = state.name
+      delete state.name
+      return post('/workspaces/current/endpoints/create', {
+        body: {
+          plugin_unique_identifier: pluginUniqueID,
+          settings: state,
+          name: newName,
+        },
+      })
+    },
+    onSuccess,
+    onError,
+  })
+}
+
+export const useUpdateEndpoint = ({
+  onSuccess,
+  onError,
+}: {
+  onSuccess?: () => void
+  onError?: (error: any) => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'update'],
+    mutationFn: (payload: { endpointID: string, state: Record<string, any> }) => {
+      const { endpointID, state } = payload
+      const newName = state.name
+      delete state.name
+      return post('/workspaces/current/endpoints/update', {
+        body: {
+          endpoint_id: endpointID,
+          settings: state,
+          name: newName,
+        },
+      })
+    },
+    onSuccess,
+    onError,
+  })
+}
+
+export const useDeleteEndpoint = ({
+  onSuccess,
+  onError,
+}: {
+  onSuccess?: () => void
+  onError?: (error: any) => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'delete'],
+    mutationFn: (endpointID: string) => {
+      return post('/workspaces/current/endpoints/delete', {
+        body: {
+          endpoint_id: endpointID,
+        },
+      })
+    },
+    onSuccess,
+    onError,
+  })
+}
+
+export const useEnableEndpoint = ({
+  onSuccess,
+  onError,
+}: {
+  onSuccess?: () => void
+  onError?: (error: any) => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'enable'],
+    mutationFn: (endpointID: string) => {
+      return post('/workspaces/current/endpoints/enable', {
+        body: {
+          endpoint_id: endpointID,
+        },
+      })
+    },
+    onSuccess,
+    onError,
+  })
+}
+
+export const useDisableEndpoint = ({
+  onSuccess,
+  onError,
+}: {
+  onSuccess?: () => void
+  onError?: (error: any) => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'disable'],
+    mutationFn: (endpointID: string) => {
+      return post('/workspaces/current/endpoints/disable', {
+        body: {
+          endpoint_id: endpointID,
+        },
+      })
+    },
+    onSuccess,
+    onError,
+  })
+}
diff --git a/web/service/use-models.ts b/web/service/use-models.ts
new file mode 100644
index 0000000000..84122cdd1f
--- /dev/null
+++ b/web/service/use-models.ts
@@ -0,0 +1,17 @@
+import { get } from './base'
+import type {
+  ModelItem,
+} from '@/app/components/header/account-setting/model-provider-page/declarations'
+import {
+  useQuery,
+  // useQueryClient,
+} from '@tanstack/react-query'
+
+const NAME_SPACE = 'models'
+
+export const useModelProviderModelList = (provider: string) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'model-list', provider],
+    queryFn: () => get<{ data: ModelItem[] }>(`/workspaces/current/model-providers/${provider}/models`),
+  })
+}
diff --git a/web/service/use-plugins.ts b/web/service/use-plugins.ts
new file mode 100644
index 0000000000..e05ae37c88
--- /dev/null
+++ b/web/service/use-plugins.ts
@@ -0,0 +1,495 @@
+import { useCallback } from 'react'
+import type {
+  ModelProvider,
+} from '@/app/components/header/account-setting/model-provider-page/declarations'
+import { fetchModelProviderModelList } from '@/service/common'
+import { fetchPluginInfoFromMarketPlace } from '@/service/plugins'
+import type {
+  DebugInfo as DebugInfoTypes,
+  Dependency,
+  GitHubItemAndMarketPlaceDependency,
+  InstallPackageResponse,
+  InstalledPluginListResponse,
+  PackageDependency,
+  Permissions,
+  Plugin,
+  PluginDetail,
+  PluginInfoFromMarketPlace,
+  PluginTask,
+  PluginType,
+  PluginsFromMarketplaceByInfoResponse,
+  PluginsFromMarketplaceResponse,
+  VersionInfo,
+  VersionListResponse,
+  uploadGitHubResponse,
+} from '@/app/components/plugins/types'
+import { TaskStatus } from '@/app/components/plugins/types'
+import { PluginType as PluginTypeEnum } from '@/app/components/plugins/types'
+import type {
+  PluginsSearchParams,
+} from '@/app/components/plugins/marketplace/types'
+import { get, getMarketplace, post, postMarketplace } from './base'
+import type { MutateOptions, QueryOptions } from '@tanstack/react-query'
+import {
+  useMutation,
+  useQuery,
+  useQueryClient,
+} from '@tanstack/react-query'
+import { useInvalidateAllBuiltInTools } from './use-tools'
+import usePermission from '@/app/components/plugins/plugin-page/use-permission'
+import { uninstallPlugin } from '@/service/plugins'
+import useRefreshPluginList from '@/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list'
+
+const NAME_SPACE = 'plugins'
+
+const useInstalledPluginListKey = [NAME_SPACE, 'installedPluginList']
+export const useCheckInstalled = ({
+  pluginIds,
+  enabled,
+}: {
+  pluginIds: string[],
+  enabled: boolean
+}) => {
+  return useQuery<{ plugins: PluginDetail[] }>({
+    queryKey: [NAME_SPACE, 'checkInstalled', pluginIds],
+    queryFn: () => post<{ plugins: PluginDetail[] }>('/workspaces/current/plugin/list/installations/ids', {
+      body: {
+        plugin_ids: pluginIds,
+      },
+    }),
+    enabled,
+    staleTime: 0, // always fresh
+  })
+}
+
+export const useInstalledPluginList = (disable?: boolean) => {
+  return useQuery<InstalledPluginListResponse>({
+    queryKey: useInstalledPluginListKey,
+    queryFn: () => get<InstalledPluginListResponse>('/workspaces/current/plugin/list'),
+    enabled: !disable,
+    initialData: !disable ? undefined : { plugins: [] },
+  })
+}
+
+export const useInvalidateInstalledPluginList = () => {
+  const queryClient = useQueryClient()
+  const invalidateAllBuiltInTools = useInvalidateAllBuiltInTools()
+  return () => {
+    queryClient.invalidateQueries(
+      {
+        queryKey: useInstalledPluginListKey,
+      })
+    invalidateAllBuiltInTools()
+  }
+}
+
+export const useInstallPackageFromMarketPlace = (options?: MutateOptions<InstallPackageResponse, Error, string>) => {
+  return useMutation({
+    ...options,
+    mutationFn: (uniqueIdentifier: string) => {
+      return post<InstallPackageResponse>('/workspaces/current/plugin/install/marketplace', { body: { plugin_unique_identifiers: [uniqueIdentifier] } })
+    },
+  })
+}
+
+export const useUpdatePackageFromMarketPlace = (options?: MutateOptions<InstallPackageResponse, Error, object>) => {
+  return useMutation({
+    ...options,
+    mutationFn: (body: object) => {
+      return post<InstallPackageResponse>('/workspaces/current/plugin/upgrade/marketplace', {
+        body,
+      })
+    },
+  })
+}
+
+export const useVersionListOfPlugin = (pluginID: string) => {
+  return useQuery<{ data: VersionListResponse }>({
+    enabled: !!pluginID,
+    queryKey: [NAME_SPACE, 'versions', pluginID],
+    queryFn: () => getMarketplace<{ data: VersionListResponse }>(`/plugins/${pluginID}/versions`, { params: { page: 1, page_size: 100 } }),
+  })
+}
+export const useInvalidateVersionListOfPlugin = () => {
+  const queryClient = useQueryClient()
+  return (pluginID: string) => {
+    queryClient.invalidateQueries({ queryKey: [NAME_SPACE, 'versions', pluginID] })
+  }
+}
+
+export const useInstallPackageFromLocal = () => {
+  return useMutation({
+    mutationFn: (uniqueIdentifier: string) => {
+      return post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', {
+        body: { plugin_unique_identifiers: [uniqueIdentifier] },
+      })
+    },
+  })
+}
+
+export const useInstallPackageFromGitHub = () => {
+  return useMutation({
+    mutationFn: ({ repoUrl, selectedVersion, selectedPackage, uniqueIdentifier }: {
+      repoUrl: string
+      selectedVersion: string
+      selectedPackage: string
+      uniqueIdentifier: string
+    }) => {
+      return post<InstallPackageResponse>('/workspaces/current/plugin/install/github', {
+        body: {
+          repo: repoUrl,
+          version: selectedVersion,
+          package: selectedPackage,
+          plugin_unique_identifier: uniqueIdentifier,
+        },
+      })
+    },
+  })
+}
+
+export const useUploadGitHub = (payload: {
+  repo: string
+  version: string
+  package: string
+}) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'uploadGitHub', payload],
+    queryFn: () => post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', {
+      body: payload,
+    }),
+    retry: 0,
+  })
+}
+
+export const useInstallOrUpdate = ({
+  onSuccess,
+}: {
+  onSuccess?: (res: { success: boolean }[]) => void
+}) => {
+  const { mutateAsync: updatePackageFromMarketPlace } = useUpdatePackageFromMarketPlace()
+
+  return useMutation({
+    mutationFn: (data: {
+      payload: Dependency[],
+      plugin: Plugin[],
+      installedInfo: Record<string, VersionInfo>
+    }) => {
+      const { payload, plugin, installedInfo } = data
+
+      return Promise.all(payload.map(async (item, i) => {
+        try {
+          const orgAndName = `${plugin[i]?.org || plugin[i]?.author}/${plugin[i]?.name}`
+          const installedPayload = installedInfo[orgAndName]
+          const isInstalled = !!installedPayload
+          let uniqueIdentifier = ''
+
+          if (item.type === 'github') {
+            const data = item as GitHubItemAndMarketPlaceDependency
+            // From local bundle don't have data.value.github_plugin_unique_identifier
+            if (!data.value.github_plugin_unique_identifier) {
+              const { unique_identifier } = await post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', {
+                body: {
+                  repo: data.value.repo!,
+                  version: data.value.release! || data.value.version!,
+                  package: data.value.packages! || data.value.package!,
+                },
+              })
+              uniqueIdentifier = data.value.github_plugin_unique_identifier! || unique_identifier
+              // has the same version, but not installed
+              if (uniqueIdentifier === installedPayload?.uniqueIdentifier) {
+                return {
+                  success: true,
+                }
+              }
+            }
+            if (!isInstalled) {
+              await post<InstallPackageResponse>('/workspaces/current/plugin/install/github', {
+                body: {
+                  repo: data.value.repo!,
+                  version: data.value.release! || data.value.version!,
+                  package: data.value.packages! || data.value.package!,
+                  plugin_unique_identifier: uniqueIdentifier,
+                },
+              })
+            }
+          }
+          if (item.type === 'marketplace') {
+            const data = item as GitHubItemAndMarketPlaceDependency
+            uniqueIdentifier = data.value.plugin_unique_identifier! || plugin[i]?.plugin_id
+            if (uniqueIdentifier === installedPayload?.uniqueIdentifier) {
+              return {
+                success: true,
+              }
+            }
+            if (!isInstalled) {
+              await post<InstallPackageResponse>('/workspaces/current/plugin/install/marketplace', {
+                body: {
+                  plugin_unique_identifiers: [uniqueIdentifier],
+                },
+              })
+            }
+          }
+          if (item.type === 'package') {
+            const data = item as PackageDependency
+            uniqueIdentifier = data.value.unique_identifier
+            if (uniqueIdentifier === installedPayload?.uniqueIdentifier) {
+              return {
+                success: true,
+              }
+            }
+            if (!isInstalled) {
+              await post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', {
+                body: {
+                  plugin_unique_identifiers: [uniqueIdentifier],
+                },
+              })
+            }
+          }
+          if (isInstalled) {
+            if (item.type === 'package') {
+              await uninstallPlugin(installedPayload.installedId)
+              await post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', {
+                body: {
+                  plugin_unique_identifiers: [uniqueIdentifier],
+                },
+              })
+            }
+            else {
+              await updatePackageFromMarketPlace({
+                original_plugin_unique_identifier: installedPayload?.uniqueIdentifier,
+                new_plugin_unique_identifier: uniqueIdentifier,
+              })
+            }
+          }
+          return ({ success: true })
+        }
+        // eslint-disable-next-line unused-imports/no-unused-vars
+        catch (e) {
+          return Promise.resolve({ success: false })
+        }
+      }))
+    },
+    onSuccess,
+  })
+}
+
+export const useDebugKey = () => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'debugKey'],
+    queryFn: () => get<DebugInfoTypes>('/workspaces/current/plugin/debugging-key'),
+  })
+}
+
+const usePermissionsKey = [NAME_SPACE, 'permissions']
+export const usePermissions = () => {
+  return useQuery({
+    queryKey: usePermissionsKey,
+    queryFn: () => get<Permissions>('/workspaces/current/plugin/permission/fetch'),
+  })
+}
+
+export const useInvalidatePermissions = () => {
+  const queryClient = useQueryClient()
+  return () => {
+    queryClient.invalidateQueries(
+      {
+        queryKey: usePermissionsKey,
+      })
+  }
+}
+
+export const useMutationPermissions = ({
+  onSuccess,
+}: {
+  onSuccess?: () => void
+}) => {
+  return useMutation({
+    mutationFn: (payload: Permissions) => {
+      return post('/workspaces/current/plugin/permission/change', { body: payload })
+    },
+    onSuccess,
+  })
+}
+
+export const useMutationPluginsFromMarketplace = () => {
+  return useMutation({
+    mutationFn: (pluginsSearchParams: PluginsSearchParams) => {
+      const {
+        query,
+        sortBy,
+        sortOrder,
+        category,
+        tags,
+        exclude,
+        type,
+        page = 1,
+        pageSize = 40,
+      } = pluginsSearchParams
+      const pluginOrBundle = type === 'bundle' ? 'bundles' : 'plugins'
+      return postMarketplace<{ data: PluginsFromMarketplaceResponse }>(`/${pluginOrBundle}/search/advanced`, {
+        body: {
+          page,
+          page_size: pageSize,
+          query,
+          sort_by: sortBy,
+          sort_order: sortOrder,
+          category: category !== 'all' ? category : '',
+          tags,
+          exclude,
+          type,
+        },
+      })
+    },
+  })
+}
+
+export const useFetchPluginsInMarketPlaceByIds = (unique_identifiers: string[], options?: QueryOptions<{ data: PluginsFromMarketplaceResponse }>) => {
+  return useQuery({
+    ...options,
+    queryKey: [NAME_SPACE, 'fetchPluginsInMarketPlaceByIds', unique_identifiers],
+    queryFn: () => postMarketplace<{ data: PluginsFromMarketplaceResponse }>('/plugins/identifier/batch', {
+      body: {
+        unique_identifiers,
+      },
+    }),
+    enabled: unique_identifiers?.filter(i => !!i).length > 0,
+    retry: 0,
+  })
+}
+
+export const useFetchPluginsInMarketPlaceByInfo = (infos: Record<string, any>[]) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'fetchPluginsInMarketPlaceByInfo', infos],
+    queryFn: () => postMarketplace<{ data: PluginsFromMarketplaceByInfoResponse }>('/plugins/versions/batch', {
+      body: {
+        plugin_tuples: infos.map(info => ({
+          org: info.organization,
+          name: info.plugin,
+          version: info.version,
+        })),
+      },
+    }),
+    enabled: infos?.filter(i => !!i).length > 0,
+    retry: 0,
+  })
+}
+
+const usePluginTaskListKey = [NAME_SPACE, 'pluginTaskList']
+export const usePluginTaskList = (category?: PluginType) => {
+  const {
+    canManagement,
+  } = usePermission()
+  const { refreshPluginList } = useRefreshPluginList()
+  const {
+    data,
+    isFetched,
+    refetch,
+    ...rest
+  } = useQuery({
+    enabled: canManagement,
+    queryKey: usePluginTaskListKey,
+    queryFn: () => get<{ tasks: PluginTask[] }>('/workspaces/current/plugin/tasks?page=1&page_size=100'),
+    refetchInterval: (lastQuery) => {
+      const lastData = lastQuery.state.data
+      const taskDone = lastData?.tasks.every(task => task.status === TaskStatus.success || task.status === TaskStatus.failed)
+      const taskAllFailed = lastData?.tasks.every(task => task.status === TaskStatus.failed)
+      if (taskDone) {
+        if (lastData?.tasks.length && !taskAllFailed)
+          refreshPluginList(category ? { category } as any : undefined, !category)
+        return false
+      }
+
+      return 5000
+    },
+  })
+  const handleRefetch = useCallback(() => {
+    refetch()
+  }, [refetch])
+
+  return {
+    data,
+    pluginTasks: data?.tasks || [],
+    isFetched,
+    handleRefetch,
+    ...rest,
+  }
+}
+
+export const useMutationClearTaskPlugin = () => {
+  return useMutation({
+    mutationFn: ({ taskId, pluginId }: { taskId: string; pluginId: string }) => {
+      return post<{ success: boolean }>(`/workspaces/current/plugin/tasks/${taskId}/delete/${pluginId}`)
+    },
+  })
+}
+
+export const useMutationClearAllTaskPlugin = () => {
+  return useMutation({
+    mutationFn: () => {
+      return post<{ success: boolean }>('/workspaces/current/plugin/tasks/delete_all')
+    },
+  })
+}
+
+export const usePluginManifestInfo = (pluginUID: string) => {
+  return useQuery({
+    enabled: !!pluginUID,
+    queryKey: [[NAME_SPACE, 'manifest', pluginUID]],
+    queryFn: () => getMarketplace<{ data: { plugin: PluginInfoFromMarketPlace, version: { version: string } } }>(`/plugins/${pluginUID}`),
+    retry: 0,
+  })
+}
+
+export const useDownloadPlugin = (info: { organization: string; pluginName: string; version: string }, needDownload: boolean) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'downloadPlugin', info],
+    queryFn: () => getMarketplace<Blob>(`/plugins/${info.organization}/${info.pluginName}/${info.version}/download`),
+    enabled: needDownload,
+    retry: 0,
+  })
+}
+
+export const useMutationCheckDependencies = () => {
+  return useMutation({
+    mutationFn: (appId: string) => {
+      return get<{ leaked_dependencies: Dependency[] }>(`/apps/imports/${appId}/check-dependencies`)
+    },
+  })
+}
+
+export const useModelInList = (currentProvider?: ModelProvider, modelId?: string) => {
+  return useQuery({
+    queryKey: ['modelInList', currentProvider?.provider, modelId],
+    queryFn: async () => {
+      if (!modelId || !currentProvider) return false
+      try {
+        const modelsData = await fetchModelProviderModelList(`/workspaces/current/model-providers/${currentProvider?.provider}/models`)
+        return !!modelId && !!modelsData.data.find(item => item.model === modelId)
+      }
+      catch (error) {
+        return false
+      }
+    },
+    enabled: !!modelId && !!currentProvider,
+  })
+}
+
+export const usePluginInfo = (providerName?: string) => {
+  return useQuery({
+    queryKey: ['pluginInfo', providerName],
+    queryFn: async () => {
+      if (!providerName) return null
+      const parts = providerName.split('/')
+      const org = parts[0]
+      const name = parts[1]
+      try {
+        const response = await fetchPluginInfoFromMarketPlace({ org, name })
+        return response.data.plugin.category === PluginTypeEnum.model ? response.data.plugin : null
+      }
+      catch (error) {
+        return null
+      }
+    },
+    enabled: !!providerName,
+  })
+}
diff --git a/web/service/use-strategy.ts b/web/service/use-strategy.ts
new file mode 100644
index 0000000000..af591ac019
--- /dev/null
+++ b/web/service/use-strategy.ts
@@ -0,0 +1,36 @@
+import type {
+  StrategyPluginDetail,
+} from '@/app/components/plugins/types'
+import { useInvalid } from './use-base'
+import type { QueryOptions } from '@tanstack/react-query'
+import {
+  useQuery,
+} from '@tanstack/react-query'
+import { fetchStrategyDetail, fetchStrategyList } from './strategy'
+
+const NAME_SPACE = 'agent_strategy'
+
+const useStrategyListKey = [NAME_SPACE, 'strategyList']
+export const useStrategyProviders = () => {
+  return useQuery<StrategyPluginDetail[]>({
+    queryKey: useStrategyListKey,
+    queryFn: fetchStrategyList,
+  })
+}
+
+export const useInvalidateStrategyProviders = () => {
+  return useInvalid(useStrategyListKey)
+}
+
+export const useStrategyProviderDetail = (agentProvider: string, options?: QueryOptions<StrategyPluginDetail>) => {
+  return useQuery<StrategyPluginDetail>({
+    ...options,
+    queryKey: [NAME_SPACE, 'detail', agentProvider],
+    queryFn: () => fetchStrategyDetail(agentProvider),
+    enabled: !!agentProvider,
+  })
+}
+
+export const useInvalidateStrategyProviderDetail = (agentProvider: string) => {
+  return useInvalid([NAME_SPACE, 'detail', agentProvider])
+}
diff --git a/web/service/use-tools.ts b/web/service/use-tools.ts
new file mode 100644
index 0000000000..ceaa4b14b3
--- /dev/null
+++ b/web/service/use-tools.ts
@@ -0,0 +1,121 @@
+import { get, post } from './base'
+import type {
+  Collection,
+  Tool,
+} from '@/app/components/tools/types'
+import type { ToolWithProvider } from '@/app/components/workflow/types'
+import { useInvalid } from './use-base'
+import {
+  useMutation,
+  useQuery,
+  useQueryClient,
+} from '@tanstack/react-query'
+
+const NAME_SPACE = 'tools'
+
+const useAllToolProvidersKey = [NAME_SPACE, 'allToolProviders']
+export const useAllToolProviders = () => {
+  return useQuery<Collection[]>({
+    queryKey: useAllToolProvidersKey,
+    queryFn: () => get<Collection[]>('/workspaces/current/tool-providers'),
+  })
+}
+
+export const useInvalidateAllToolProviders = () => {
+  return useInvalid(useAllToolProvidersKey)
+}
+
+const useAllBuiltInToolsKey = [NAME_SPACE, 'builtIn']
+export const useAllBuiltInTools = () => {
+  return useQuery<ToolWithProvider[]>({
+    queryKey: useAllBuiltInToolsKey,
+    queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/builtin'),
+  })
+}
+
+export const useInvalidateAllBuiltInTools = () => {
+  return useInvalid(useAllBuiltInToolsKey)
+}
+
+const useAllCustomToolsKey = [NAME_SPACE, 'customTools']
+export const useAllCustomTools = () => {
+  return useQuery<ToolWithProvider[]>({
+    queryKey: useAllCustomToolsKey,
+    queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/api'),
+  })
+}
+
+export const useInvalidateAllCustomTools = () => {
+  return useInvalid(useAllCustomToolsKey)
+}
+
+const useAllWorkflowToolsKey = [NAME_SPACE, 'workflowTools']
+export const useAllWorkflowTools = () => {
+  return useQuery<ToolWithProvider[]>({
+    queryKey: useAllWorkflowToolsKey,
+    queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/workflow'),
+  })
+}
+
+export const useInvalidateAllWorkflowTools = () => {
+  return useInvalid(useAllWorkflowToolsKey)
+}
+
+export const useBuiltinProviderInfo = (providerName: string) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'builtin-provider-info', providerName],
+    queryFn: () => get<Collection>(`/workspaces/current/tool-provider/builtin/${providerName}/info`),
+  })
+}
+
+export const useInvalidateBuiltinProviderInfo = () => {
+  const queryClient = useQueryClient()
+  return (providerName: string) => {
+    queryClient.invalidateQueries(
+      {
+        queryKey: [NAME_SPACE, 'builtin-provider-info', providerName],
+      })
+  }
+}
+
+export const useBuiltinTools = (providerName: string) => {
+  return useQuery({
+    queryKey: [NAME_SPACE, 'builtin-provider-tools', providerName],
+    queryFn: () => get<Tool[]>(`/workspaces/current/tool-provider/builtin/${providerName}/tools`),
+  })
+}
+
+export const useUpdateProviderCredentials = ({
+  onSuccess,
+}: {
+  onSuccess?: () => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'update-provider-credentials'],
+    mutationFn: (payload: { providerName: string, credentials: Record<string, any> }) => {
+      const { providerName, credentials } = payload
+      return post(`/workspaces/current/tool-provider/builtin/${providerName}/update`, {
+        body: {
+          credentials,
+        },
+      })
+    },
+    onSuccess,
+  })
+}
+
+export const useRemoveProviderCredentials = ({
+  onSuccess,
+}: {
+  onSuccess?: () => void
+}) => {
+  return useMutation({
+    mutationKey: [NAME_SPACE, 'remove-provider-credentials'],
+    mutationFn: (providerName: string) => {
+      return post(`/workspaces/current/tool-provider/builtin/${providerName}/delete`, {
+        body: {},
+      })
+    },
+    onSuccess,
+  })
+}
diff --git a/web/service/use-workflow.ts b/web/service/use-workflow.ts
index 948a114b04..43fa4b22c3 100644
--- a/web/service/use-workflow.ts
+++ b/web/service/use-workflow.ts
@@ -1,9 +1,20 @@
-import { useQuery } from '@tanstack/react-query'
 import { get } from './base'
+import type {
+  FetchWorkflowDraftResponse,
+} from '@/types/workflow'
+import { useQuery } from '@tanstack/react-query'
 import type { WorkflowConfigResponse } from '@/types/workflow'
 
 const NAME_SPACE = 'workflow'
 
+export const useAppWorkflow = (appID: string) => {
+  return useQuery<FetchWorkflowDraftResponse>({
+    enabled: !!appID,
+    queryKey: [NAME_SPACE, 'publish', appID],
+    queryFn: () => get<FetchWorkflowDraftResponse>(`/apps/${appID}/workflows/publish`),
+  })
+}
+
 export const useWorkflowConfig = (appId: string) => {
   return useQuery({
     queryKey: [NAME_SPACE, 'config', appId],
diff --git a/web/tailwind-common-config.ts b/web/tailwind-common-config.ts
new file mode 100644
index 0000000000..2bc7343a45
--- /dev/null
+++ b/web/tailwind-common-config.ts
@@ -0,0 +1,129 @@
+import tailwindThemeVarDefine from './themes/tailwind-theme-var-define'
+
+const config = {
+  theme: {
+    typography: require('./typography'),
+    extend: {
+      colors: {
+        gray: {
+          25: '#fcfcfd',
+          50: '#f9fafb',
+          100: '#f2f4f7',
+          200: '#eaecf0',
+          300: '#d0d5dd',
+          400: '#98a2b3',
+          500: '#667085',
+          700: '#475467',
+          600: '#344054',
+          800: '#1d2939',
+          900: '#101828',
+        },
+        primary: {
+          25: '#f5f8ff',
+          50: '#eff4ff',
+          100: '#d1e0ff',
+          200: '#b2ccff',
+          300: '#84adff',
+          400: '#528bff',
+          500: '#2970ff',
+          600: '#155eef',
+          700: '#004eeb',
+          800: '#0040c1',
+          900: '#00359e',
+        },
+        blue: {
+          500: '#E1EFFE',
+        },
+        green: {
+          50: '#F3FAF7',
+          100: '#DEF7EC',
+          800: '#03543F',
+
+        },
+        yellow: {
+          100: '#FDF6B2',
+          800: '#723B13',
+        },
+        purple: {
+          50: '#F6F5FF',
+          200: '#DCD7FE',
+        },
+        indigo: {
+          25: '#F5F8FF',
+          50: '#EEF4FF',
+          100: '#E0EAFF',
+          300: '#A4BCFD',
+          400: '#8098F9',
+          600: '#444CE7',
+          800: '#2D31A6',
+        },
+        ...tailwindThemeVarDefine,
+      },
+      screens: {
+        'mobile': '100px',
+        // => @media (min-width: 100px) { ... }
+        'tablet': '640px', // 391
+        // => @media (min-width: 600px) { ... }
+        'pc': '769px',
+        // => @media (min-width: 769px) { ... }
+        '2k': '2560px',
+      },
+      boxShadow: {
+        'xs': '0px 1px 2px 0px rgba(16, 24, 40, 0.05)',
+        'sm': '0px 1px 2px 0px rgba(16, 24, 40, 0.06), 0px 1px 3px 0px rgba(16, 24, 40, 0.10)',
+        'md': '0px 2px 4px -2px rgba(16, 24, 40, 0.06), 0px 4px 8px -2px rgba(16, 24, 40, 0.10)',
+        'lg': '0px 4px 6px -2px rgba(16, 24, 40, 0.03), 0px 12px 16px -4px rgba(16, 24, 40, 0.08)',
+        'xl': '0px 8px 8px -4px rgba(16, 24, 40, 0.03), 0px 20px 24px -4px rgba(16, 24, 40, 0.08)',
+        '2xl': '0px 24px 48px -12px rgba(16, 24, 40, 0.18)',
+        '3xl': '0px 32px 64px -12px rgba(16, 24, 40, 0.14)',
+        'status-indicator-green-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-success-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
+        'status-indicator-warning-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-warning-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
+        'status-indicator-red-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-error-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
+        'status-indicator-blue-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-normal-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
+        'status-indicator-gray-shadow': '0px 1px 2px 0px var(--color-components-badge-status-light-disabled-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
+      },
+      opacity: {
+        2: '0.02',
+        8: '0.08',
+      },
+      fontSize: {
+        '2xs': '0.625rem',
+      },
+      backgroundImage: {
+        'chatbot-bg': 'var(--color-chatbot-bg)',
+        'chat-bubble-bg': 'var(--color-chat-bubble-bg)',
+        'chat-input-mask': 'var(--color-chat-input-mask)',
+        'workflow-process-bg': 'var(--color-workflow-process-bg)',
+        'mask-top2bottom-gray-50-to-transparent': 'var(--mask-top2bottom-gray-50-to-transparent)',
+        'marketplace-divider-bg': 'var(--color-marketplace-divider-bg)',
+        'marketplace-plugin-empty': 'var(--color-marketplace-plugin-empty)',
+        'toast-success-bg': 'var(--color-toast-success-bg)',
+        'toast-warning-bg': 'var(--color-toast-warning-bg)',
+        'toast-error-bg': 'var(--color-toast-error-bg)',
+        'toast-info-bg': 'var(--color-toast-info-bg)',
+        'app-detail-bg': 'var(--color-app-detail-bg)',
+        'app-detail-overlay-bg': 'var(--color-app-detail-overlay-bg)',
+        'dataset-chunk-process-success-bg': 'var(--color-dataset-chunk-process-success-bg)',
+        'dataset-chunk-process-error-bg': 'var(--color-dataset-chunk-process-error-bg)',
+        'dataset-chunk-detail-card-hover-bg': 'var(--color-dataset-chunk-detail-card-hover-bg)',
+        'dataset-child-chunk-expand-btn-bg': 'var(--color-dataset-child-chunk-expand-btn-bg)',
+        'dataset-option-card-blue-gradient': 'var(--color-dataset-option-card-blue-gradient)',
+        'dataset-option-card-purple-gradient': 'var(--color-dataset-option-card-purple-gradient)',
+        'dataset-option-card-orange-gradient': 'var(--color-dataset-option-card-orange-gradient)',
+        'dataset-chunk-list-mask-bg': 'var(--color-dataset-chunk-list-mask-bg)',
+      },
+      animation: {
+        'spin-slow': 'spin 2s linear infinite',
+      },
+    },
+  },
+  plugins: [
+    require('@tailwindcss/typography'),
+  ],
+  // https://github.com/tailwindlabs/tailwindcss/discussions/5969
+  corePlugins: {
+    preflight: false,
+  },
+}
+
+export default config
diff --git a/web/tailwind.config.js b/web/tailwind.config.js
index 99d85bf32a..a9959e7b76 100644
--- a/web/tailwind.config.js
+++ b/web/tailwind.config.js
@@ -1,128 +1,12 @@
-import tailwindThemeVarDefine from './themes/tailwind-theme-var-define'
-
-/** @type {import('tailwindcss').Config} */
+// import type { Config } from 'tailwindcss'
+import commonConfig from './tailwind-common-config'
 const config = {
   content: [
     './app/**/*.{js,ts,jsx,tsx}',
     './components/**/*.{js,ts,jsx,tsx}',
     './context/**/*.{js,ts,jsx,tsx}',
   ],
-  theme: {
-    typography: require('./typography'),
-    extend: {
-      colors: {
-        gray: {
-          25: '#fcfcfd',
-          50: '#f9fafb',
-          100: '#f2f4f7',
-          200: '#eaecf0',
-          300: '#d0d5dd',
-          400: '#98a2b3',
-          500: '#667085',
-          700: '#475467',
-          600: '#344054',
-          800: '#1d2939',
-          900: '#101828',
-        },
-        primary: {
-          25: '#f5f8ff',
-          50: '#eff4ff',
-          100: '#d1e0ff',
-          200: '#b2ccff',
-          300: '#84adff',
-          400: '#528bff',
-          500: '#2970ff',
-          600: '#155eef',
-          700: '#004eeb',
-          800: '#0040c1',
-          900: '#00359e',
-        },
-        blue: {
-          500: '#E1EFFE',
-        },
-        green: {
-          50: '#F3FAF7',
-          100: '#DEF7EC',
-          800: '#03543F',
-
-        },
-        yellow: {
-          100: '#FDF6B2',
-          800: '#723B13',
-        },
-        purple: {
-          50: '#F6F5FF',
-          200: '#DCD7FE',
-        },
-        indigo: {
-          25: '#F5F8FF',
-          50: '#EEF4FF',
-          100: '#E0EAFF',
-          300: '#A4BCFD',
-          400: '#8098F9',
-          600: '#444CE7',
-          800: '#2D31A6',
-        },
-        ...tailwindThemeVarDefine,
-      },
-      screens: {
-        'mobile': '100px',
-        // => @media (min-width: 100px) { ... }
-        'tablet': '640px', // 391
-        // => @media (min-width: 600px) { ... }
-        'pc': '769px',
-        // => @media (min-width: 769px) { ... }
-        '2k': '2560px',
-      },
-      boxShadow: {
-        'xs': '0px 1px 2px 0px rgba(16, 24, 40, 0.05)',
-        'sm': '0px 1px 2px 0px rgba(16, 24, 40, 0.06), 0px 1px 3px 0px rgba(16, 24, 40, 0.10)',
-        'md': '0px 2px 4px -2px rgba(16, 24, 40, 0.06), 0px 4px 8px -2px rgba(16, 24, 40, 0.10)',
-        'lg': '0px 4px 6px -2px rgba(16, 24, 40, 0.03), 0px 12px 16px -4px rgba(16, 24, 40, 0.08)',
-        'xl': '0px 8px 8px -4px rgba(16, 24, 40, 0.03), 0px 20px 24px -4px rgba(16, 24, 40, 0.08)',
-        '2xl': '0px 24px 48px -12px rgba(16, 24, 40, 0.18)',
-        '3xl': '0px 32px 64px -12px rgba(16, 24, 40, 0.14)',
-        'status-indicator-green-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-success-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
-        'status-indicator-warning-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-warning-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
-        'status-indicator-red-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-error-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
-        'status-indicator-blue-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-normal-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
-        'status-indicator-gray-shadow': '0px 1px 2px 0px var(--color-components-badge-status-light-disabled-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)',
-      },
-      opacity: {
-        2: '0.02',
-        8: '0.08',
-      },
-      fontSize: {
-        '2xs': '0.625rem',
-      },
-      backgroundImage: {
-        'chatbot-bg': 'var(--color-chatbot-bg)',
-        'chat-bubble-bg': 'var(--color-chat-bubble-bg)',
-        'workflow-process-bg': 'var(--color-workflow-process-bg)',
-        'app-detail-bg': 'var(--color-app-detail-bg)',
-        'app-detail-overlay-bg': 'var(--color-app-detail-overlay-bg)',
-        'dataset-chunk-process-success-bg': 'var(--color-dataset-chunk-process-success-bg)',
-        'dataset-chunk-process-error-bg': 'var(--color-dataset-chunk-process-error-bg)',
-        'dataset-chunk-detail-card-hover-bg': 'var(--color-dataset-chunk-detail-card-hover-bg)',
-        'dataset-child-chunk-expand-btn-bg': 'var(--color-dataset-child-chunk-expand-btn-bg)',
-        'dataset-option-card-blue-gradient': 'var(--color-dataset-option-card-blue-gradient)',
-        'dataset-option-card-purple-gradient': 'var(--color-dataset-option-card-purple-gradient)',
-        'dataset-option-card-orange-gradient': 'var(--color-dataset-option-card-orange-gradient)',
-        'dataset-chunk-list-mask-bg': 'var(--color-dataset-chunk-list-mask-bg)',
-      },
-      lineClamp: {
-        '20': '20',
-        'mask-top2bottom-gray-50-to-transparent': 'var(--mask-top2bottom-gray-50-to-transparent)',
-      },
-    },
-  },
-  plugins: [
-    require('@tailwindcss/typography'),
-  ],
-  // https://github.com/tailwindlabs/tailwindcss/discussions/5969
-  corePlugins: {
-    preflight: false,
-  },
+  ...commonConfig,
 }
 
 export default config
diff --git a/web/themes/dark.css b/web/themes/dark.css
index 892f48fa48..dc24322bf5 100644
--- a/web/themes/dark.css
+++ b/web/themes/dark.css
@@ -721,6 +721,7 @@ html[data-theme="dark"] {
 
   --color-third-party-LangChain: #FFFFFF;
   --color-third-party-Langfuse: #FFFFFF;
+
   --color-third-party-Github: #FFFFFF;
   --color-third-party-Github-tertiary: #C8CEDA99;
   --color-third-party-Github-secondary: #D9D9DE;
diff --git a/web/themes/manual-dark.css b/web/themes/manual-dark.css
index 052a080fa9..beaad7df48 100644
--- a/web/themes/manual-dark.css
+++ b/web/themes/manual-dark.css
@@ -1,21 +1,34 @@
 html[data-theme="dark"] {
-  --color-chatbot-bg: linear-gradient(
-    180deg,
-    rgba(34, 34, 37, 0.9) 0%,
-    rgba(29, 29, 32, 0.9) 90.48%
-  );
-  --color-chat-bubble-bg: linear-gradient(
-    180deg,
-    rgba(200, 206, 218, 0.08) 0%,
-    rgba(200, 206, 218, 0.02) 100%
-  );
-  --color-workflow-process-bg: linear-gradient(
-    90deg,
-    rgba(24, 24, 27, 0.25) 0%,
-    rgba(24, 24, 27, 0.04) 100%
-  );
-  --color-account-teams-bg: linear-gradient(
-    271deg,
+  --color-chatbot-bg: linear-gradient(180deg,
+      rgba(34, 34, 37, 0.9) 0%,
+      rgba(29, 29, 32, 0.9) 90.48%);
+  --color-chat-bubble-bg: linear-gradient(180deg,
+      rgba(200, 206, 218, 0.08) 0%,
+      rgba(200, 206, 218, 0.02) 100%);
+  --color-chat-input-mask: linear-gradient(180deg,
+      rgba(24, 24, 27, 0.04) 0%,
+      rgba(24, 24, 27, 0.60) 100%);
+  --color-workflow-process-bg: linear-gradient(90deg,
+      rgba(24, 24, 27, 0.25) 0%,
+      rgba(24, 24, 27, 0.04) 100%);
+  --color-marketplace-divider-bg: linear-gradient(90deg,
+      rgba(200, 206, 218, 0.14) 0%,
+      rgba(0, 0, 0, 0) 100%);
+  --color-marketplace-plugin-empty: linear-gradient(180deg,
+      rgba(0, 0, 0, 0) 0%,
+      #222225 100%);
+  --color-toast-success-bg: linear-gradient(92deg,
+      rgba(23, 178, 106, 0.3) 0%,
+      rgba(0, 0, 0, 0) 100%);
+  --color-toast-warning-bg: linear-gradient(92deg,
+      rgba(247, 144, 9, 0.3) 0%,
+      rgba(0, 0, 0, 0) 100%);
+  --color-toast-error-bg: linear-gradient(92deg,
+      rgba(240, 68, 56, 0.3) 0%,
+      rgba(0, 0, 0, 0) 100%);
+  --color-toast-info-bg: linear-gradient(92deg,
+      rgba(11, 165, 236, 0.3) 0%),
+  --color-account-teams-bg: linear-gradient(271deg,
     rgba(34, 34, 37, 0.9) -0.1%,
     rgba(29, 29, 32, 0.9) 98.26%
   );
@@ -41,6 +54,5 @@ html[data-theme="dark"] {
   --mask-top2bottom-gray-50-to-transparent: linear-gradient(
     180deg,
     rgba(24, 24, 27, 0.08) 0%,
-    rgba(0, 0, 0, 0) 100%
-  );
-}
+    rgba(0, 0, 0, 0) 100%);
+}
\ No newline at end of file
diff --git a/web/themes/manual-light.css b/web/themes/manual-light.css
index 0566f4b1cd..b4317d521b 100644
--- a/web/themes/manual-light.css
+++ b/web/themes/manual-light.css
@@ -1,21 +1,34 @@
 html[data-theme="light"] {
-  --color-chatbot-bg: linear-gradient(
-    180deg,
-    rgba(249, 250, 251, 0.9) 0%,
-    rgba(242, 244, 247, 0.9) 90.48%
-  );
-  --color-chat-bubble-bg: linear-gradient(
-    180deg,
+  --color-chatbot-bg: linear-gradient(180deg,
+      rgba(249, 250, 251, 0.9) 0%,
+      rgba(242, 244, 247, 0.9) 90.48%);
+  --color-chat-bubble-bg: linear-gradient(180deg,
     #fff 0%,
-    rgba(255, 255, 255, 0.6) 100%
-  );
-  --color-workflow-process-bg: linear-gradient(
-    90deg,
-    rgba(200, 206, 218, 0.2) 0%,
-    rgba(200, 206, 218, 0.04) 100%
-  );
-  --color-account-teams-bg: linear-gradient(
-    271deg,
+    rgba(255, 255, 255, 0.6) 100%);
+  --color-chat-input-mask: linear-gradient(180deg,
+    rgba(255, 255, 255, 0.01) 0%,
+    #F2F4F7 100%);
+  --color-workflow-process-bg: linear-gradient(90deg,
+      rgba(200, 206, 218, 0.2) 0%,
+      rgba(200, 206, 218, 0.04) 100%);
+  --color-marketplace-divider-bg: linear-gradient(90deg,
+      rgba(16, 24, 40, 0.08) 0%,
+      rgba(255, 255, 255, 0) 100%);
+  --color-marketplace-plugin-empty: linear-gradient(180deg,
+      rgba(255, 255, 255, 0) 0%,
+      #fcfcfd 100%);
+  --color-toast-success-bg: linear-gradient(92deg,
+      rgba(23, 178, 106, 0.25) 0%,
+      rgba(255, 255, 255, 0) 100%);
+  --color-toast-warning-bg: linear-gradient(92deg,
+      rgba(247, 144, 9, 0.25) 0%,
+      rgba(255, 255, 255, 0) 100%);
+  --color-toast-error-bg: linear-gradient(92deg,
+      rgba(240, 68, 56, 0.25) 0%,
+      rgba(255, 255, 255, 0) 100%);
+  --color-toast-info-bg: linear-gradient(92deg,
+      rgba(11, 165, 236, 0.25) 0%),
+  --color-account-teams-bg: linear-gradient(271deg,
     rgba(249, 250, 251, 0.9) -0.1%,
     rgba(242, 244, 247, 0.9) 98.26%
   );
@@ -41,6 +54,5 @@ html[data-theme="light"] {
   --mask-top2bottom-gray-50-to-transparent: linear-gradient(
     180deg,
     rgba(200, 206, 218, 0.2) 0%,
-    rgba(255, 255, 255, 0) 100%
-  );
-}
+    rgba(255, 255, 255, 0) 100%);
+}
\ No newline at end of file
diff --git a/web/types/app.ts b/web/types/app.ts
index 7be1d30b85..2f5f6254ff 100644
--- a/web/types/app.ts
+++ b/web/types/app.ts
@@ -25,14 +25,14 @@ export enum ProviderType {
 }
 
 export enum AppType {
-  'chat' = 'chat',
-  'completion' = 'completion',
+  chat = 'chat',
+  completion = 'completion',
 }
 
 export enum ModelModeType {
-  'chat' = 'chat',
-  'completion' = 'completion',
-  'unset' = '',
+  chat = 'chat',
+  completion = 'completion',
+  unset = '',
 }
 
 export enum RETRIEVE_TYPE {
@@ -110,9 +110,9 @@ export type ParagraphTypeFormItem = {
 export type UserInputFormItem = {
   'text-input': TextTypeFormItem
 } | {
-  'select': SelectTypeFormItem
+  select: SelectTypeFormItem
 } | {
-  'paragraph': TextTypeFormItem
+  paragraph: TextTypeFormItem
 }
 
 export type AgentTool = {
@@ -351,6 +351,13 @@ export type App = {
   /** api site url */
   api_base_url: string
   tags: Tag[]
+  workflow?: {
+    id: string
+    created_at: number
+    created_by?: string
+    updated_at: number
+    updated_by?: string
+  }
 }
 
 export type AppSSO = {
diff --git a/web/types/feature.ts b/web/types/feature.ts
index 053ce3d7c9..3d7763bf46 100644
--- a/web/types/feature.ts
+++ b/web/types/feature.ts
@@ -24,6 +24,7 @@ export type SystemFeatures = {
   sso_enforced_for_web: boolean
   sso_enforced_for_web_protocol: SSOProtocol | ''
   enable_web_sso_switch_component: boolean
+  enable_marketplace: boolean
   enable_email_code_login: boolean
   enable_email_password_login: boolean
   enable_social_oauth_login: boolean
@@ -39,6 +40,7 @@ export const defaultSystemFeatures: SystemFeatures = {
   sso_enforced_for_web: false,
   sso_enforced_for_web_protocol: '',
   enable_web_sso_switch_component: false,
+  enable_marketplace: false,
   enable_email_code_login: false,
   enable_email_password_login: false,
   enable_social_oauth_login: false,
diff --git a/web/types/workflow.ts b/web/types/workflow.ts
index ee0c1c6454..31ea759582 100644
--- a/web/types/workflow.ts
+++ b/web/types/workflow.ts
@@ -3,11 +3,33 @@ import type { BlockEnum, ConversationVariable, Edge, EnvironmentVariable, Node }
 import type { TransferMethod } from '@/types/app'
 import type { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types'
 
+export type AgentLogItem = {
+  node_execution_id: string,
+  id: string,
+  node_id: string,
+  parent_id?: string,
+  label: string,
+  data: object, // debug data
+  error?: string,
+  status: string,
+  metadata?: {
+    elapsed_time?: number
+    provider?: string
+    icon?: string
+  },
+}
+
+export type AgentLogItemWithChildren = AgentLogItem & {
+  hasCircle?: boolean
+  children: AgentLogItemWithChildren[]
+}
+
 export type NodeTracing = {
   id: string
   index: number
   predecessor_node_id: string
   node_id: string
+  iteration_id?: string
   node_type: BlockEnum
   title: string
   inputs: any
@@ -30,6 +52,11 @@ export type NodeTracing = {
     parallel_mode_run_id?: string
     iteration_duration_map?: IterationDurationMap
     error_strategy?: ErrorHandleTypeEnum
+    agent_log?: AgentLogItem[]
+    tool_info?: {
+      agent_strategy?: string
+      icon?: string
+    }
   }
   metadata: {
     iterator_length: number
@@ -47,11 +74,18 @@ export type NodeTracing = {
   expand?: boolean // for UI
   details?: NodeTracing[][] // iteration detail
   retryDetail?: NodeTracing[] // retry detail
+  retry_index?: number
+  parallelDetail?: { // parallel detail. if is in parallel, this field will be set
+    isParallelStartNode?: boolean
+    parallelTitle?: string
+    branchTitle?: string
+    children?: NodeTracing[]
+  }
   parallel_id?: string
   parallel_start_node_id?: string
   parent_parallel_id?: string
   parent_parallel_start_node_id?: string
-  retry_index?: number
+  agentLog?: AgentLogItemWithChildren[] // agent log
 }
 
 export type FetchWorkflowDraftResponse = {
@@ -128,18 +162,7 @@ export type NodeStartedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    id: string
-    node_id: string
-    iteration_id?: string
-    parallel_run_id?: string
-    node_type: string
-    index: number
-    predecessor_node_id?: string
-    inputs: any
-    created_at: number
-    extras?: any
-  }
+  data: NodeTracing
 }
 
 export type FileResponse = {
@@ -157,120 +180,42 @@ export type NodeFinishedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    id: string
-    node_id: string
-    iteration_id?: string
-    node_type: string
-    index: number
-    predecessor_node_id?: string
-    inputs: any
-    process_data: any
-    outputs: any
-    status: string
-    error: string
-    elapsed_time: number
-    execution_metadata: {
-      total_tokens: number
-      total_price: number
-      currency: string
-      parallel_id?: string
-      parallel_start_node_id?: string
-      iteration_index?: number
-      iteration_id?: string
-      parallel_mode_run_id: string
-      error_strategy?: ErrorHandleTypeEnum
-    }
-    created_at: number
-    files?: FileResponse[]
-    retry_index?: number
-  }
+  data: NodeTracing
 }
 
 export type IterationStartedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    id: string
-    node_id: string
-    metadata: {
-      iterator_length: number
-      iteration_id: string
-      iteration_index: number
-    }
-    created_at: number
-    extras?: any
-  }
+  data: NodeTracing
 }
 
 export type IterationNextResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    id: string
-    node_id: string
-    index: number
-    output: any
-    extras?: any
-    created_at: number
-    parallel_mode_run_id: string
-    execution_metadata: {
-      parallel_id?: string
-      iteration_index: number
-      parallel_mode_run_id?: string
-    }
-    duration?: number
-  }
+  data: NodeTracing
 }
 
 export type IterationFinishedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    id: string
-    node_id: string
-    outputs: any
-    extras?: any
-    status: string
-    created_at: number
-    error: string
-    execution_metadata: {
-      parallel_id?: string
-    }
-  }
+  data: NodeTracing
 }
 
 export type ParallelBranchStartedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    parallel_id: string
-    parallel_start_node_id: string
-    parent_parallel_id: string
-    parent_parallel_start_node_id: string
-    iteration_id?: string
-    created_at: number
-  }
+  data: NodeTracing
 }
 
 export type ParallelBranchFinishedResponse = {
   task_id: string
   workflow_run_id: string
   event: string
-  data: {
-    parallel_id: string
-    parallel_start_node_id: string
-    parent_parallel_id: string
-    parent_parallel_start_node_id: string
-    iteration_id?: string
-    status: string
-    created_at: number
-    error: string
-  }
+  data: NodeTracing
 }
 
 export type TextChunkResponse = {
@@ -291,6 +236,12 @@ export type TextReplaceResponse = {
   }
 }
 
+export type AgentLogResponse = {
+  task_id: string
+  event: string
+  data: AgentLogItemWithChildren
+}
+
 export type WorkflowRunHistory = {
   id: string
   sequence_number: number
diff --git a/web/utils/format.ts b/web/utils/format.ts
index 1eeb6af807..45f0e51878 100644
--- a/web/utils/format.ts
+++ b/web/utils/format.ts
@@ -34,3 +34,14 @@ export const formatTime = (num: number) => {
   }
   return `${num.toFixed(2)} ${units[index]}`
 }
+
+export const downloadFile = ({ data, fileName }: { data: Blob; fileName: string }) => {
+  const url = window.URL.createObjectURL(data)
+  const a = document.createElement('a')
+  a.href = url
+  a.download = fileName
+  document.body.appendChild(a)
+  a.click()
+  a.remove()
+  window.URL.revokeObjectURL(url)
+}
diff --git a/web/utils/get-icon.ts b/web/utils/get-icon.ts
new file mode 100644
index 0000000000..f2ed116a14
--- /dev/null
+++ b/web/utils/get-icon.ts
@@ -0,0 +1,5 @@
+import { MARKETPLACE_API_PREFIX } from '@/config'
+
+export const getIconFromMarketPlace = (plugin_id: string) => {
+  return `${MARKETPLACE_API_PREFIX}/plugins/${plugin_id}/icon`
+}
diff --git a/web/utils/index.ts b/web/utils/index.ts
index cabad6c35c..4342a08519 100644
--- a/web/utils/index.ts
+++ b/web/utils/index.ts
@@ -55,3 +55,13 @@ export async function fetchWithRetry<T = any>(fn: Promise<T>, retries = 3): Prom
     return [null, res]
   }
 }
+
+export const correctProvider = (provider: string) => {
+  if (!provider)
+    return ''
+
+  if (provider.includes('/'))
+    return provider
+
+  return `langgenius/${provider}/${provider}`
+}
diff --git a/web/utils/semver.ts b/web/utils/semver.ts
new file mode 100644
index 0000000000..f1b9eb8d7e
--- /dev/null
+++ b/web/utils/semver.ts
@@ -0,0 +1,9 @@
+import semver from 'semver'
+
+export const getLatestVersion = (versionList: string[]) => {
+  return semver.rsort(versionList)[0]
+}
+
+export const compareVersion = (v1: string, v2: string) => {
+  return semver.compare(v1, v2)
+}
diff --git a/web/yarn.lock b/web/yarn.lock
index 9e64831e3e..8471dae425 100644
--- a/web/yarn.lock
+++ b/web/yarn.lock
@@ -20,65 +20,46 @@
     "@jridgewell/gen-mapping" "^0.3.5"
     "@jridgewell/trace-mapping" "^0.3.24"
 
-"@antfu/eslint-config-basic@0.36.0":
-  version "0.36.0"
-  resolved "https://registry.npmjs.org/@antfu/eslint-config-basic/-/eslint-config-basic-0.36.0.tgz"
-  integrity sha512-2b3ZB7pO00nxAERDXo82iYPjLQ4l/AOMm0CTKmGmqWbN3RB33EIQWzYheZRboSbAVzWpI1/3rg/Gu+7xYVMYHA==
+"@antfu/eslint-config@^3.8.0":
+  version "3.12.1"
+  resolved "https://registry.npmjs.org/@antfu/eslint-config/-/eslint-config-3.12.1.tgz"
+  integrity sha512-6sRgO4u63GK75xeZ2MfCSRT9GcfLti4ZN3Xw+bIu39oo6HY50fBY+rXnWvgwNimzHBOh3yV5xUHfTqcHq1M5AA==
   dependencies:
-    eslint-plugin-antfu "0.36.0"
-    eslint-plugin-eslint-comments "^3.2.0"
-    eslint-plugin-html "^7.1.0"
-    eslint-plugin-import "^2.27.5"
-    eslint-plugin-jsonc "^2.6.0"
-    eslint-plugin-markdown "^3.0.0"
-    eslint-plugin-n "^15.6.1"
-    eslint-plugin-no-only-tests "^3.1.0"
-    eslint-plugin-promise "^6.1.1"
-    eslint-plugin-unicorn "^45.0.2"
-    eslint-plugin-unused-imports "^2.0.0"
-    eslint-plugin-yml "^1.5.0"
-    jsonc-eslint-parser "^2.1.0"
-    yaml-eslint-parser "^1.1.0"
-
-"@antfu/eslint-config-ts@0.36.0":
-  version "0.36.0"
-  resolved "https://registry.npmjs.org/@antfu/eslint-config-ts/-/eslint-config-ts-0.36.0.tgz"
-  integrity sha512-I/h2ZOPBIqgnALG2fQp6lOBsOXk51QwLDumyEayt7GRnitdP4o9D8i+YAPowrMJ8M3kU7puQUyhWuJmZLgo57A==
-  dependencies:
-    "@antfu/eslint-config-basic" "0.36.0"
-    "@typescript-eslint/eslint-plugin" "^5.53.0"
-    "@typescript-eslint/parser" "^5.53.0"
-    eslint-plugin-jest "^27.2.1"
-
-"@antfu/eslint-config-vue@0.36.0":
-  version "0.36.0"
-  resolved "https://registry.npmjs.org/@antfu/eslint-config-vue/-/eslint-config-vue-0.36.0.tgz"
-  integrity sha512-YuTcNlVlrEWX1ESOiPgr+e2Walfd6xt3Toa0kAKJxq2aBS1RWqIi1l3zIVGCHaX72lOrSXNmQ7bryaZyGADGDg==
-  dependencies:
-    "@antfu/eslint-config-basic" "0.36.0"
-    "@antfu/eslint-config-ts" "0.36.0"
-    eslint-plugin-vue "^9.9.0"
-    local-pkg "^0.4.3"
-
-"@antfu/eslint-config@^0.36.0":
-  version "0.36.0"
-  resolved "https://registry.npmjs.org/@antfu/eslint-config/-/eslint-config-0.36.0.tgz"
-  integrity sha512-otZ9PfKRT3gnGMMX1gS8URTNPMPCZ69K5jHZvLkYojru0gLBZ3IO5fCvjEZpWqOyIUHtAgg6NWELf1DbEF+NDw==
-  dependencies:
-    "@antfu/eslint-config-vue" "0.36.0"
-    "@typescript-eslint/eslint-plugin" "^5.53.0"
-    "@typescript-eslint/parser" "^5.53.0"
-    eslint-plugin-eslint-comments "^3.2.0"
-    eslint-plugin-html "^7.1.0"
-    eslint-plugin-import "^2.27.5"
-    eslint-plugin-jsonc "^2.6.0"
-    eslint-plugin-n "^15.6.1"
-    eslint-plugin-promise "^6.1.1"
-    eslint-plugin-unicorn "^45.0.2"
-    eslint-plugin-vue "^9.9.0"
-    eslint-plugin-yml "^1.5.0"
-    jsonc-eslint-parser "^2.1.0"
-    yaml-eslint-parser "^1.1.0"
+    "@antfu/install-pkg" "^0.5.0"
+    "@clack/prompts" "^0.9.0"
+    "@eslint-community/eslint-plugin-eslint-comments" "^4.4.1"
+    "@eslint/markdown" "^6.2.1"
+    "@stylistic/eslint-plugin" "^2.12.1"
+    "@typescript-eslint/eslint-plugin" "^8.18.2"
+    "@typescript-eslint/parser" "^8.18.2"
+    "@vitest/eslint-plugin" "^1.1.20"
+    eslint-config-flat-gitignore "^0.3.0"
+    eslint-flat-config-utils "^0.4.0"
+    eslint-merge-processors "^0.1.0"
+    eslint-plugin-antfu "^2.7.0"
+    eslint-plugin-command "^0.2.7"
+    eslint-plugin-import-x "^4.6.1"
+    eslint-plugin-jsdoc "^50.6.1"
+    eslint-plugin-jsonc "^2.18.2"
+    eslint-plugin-n "^17.15.1"
+    eslint-plugin-no-only-tests "^3.3.0"
+    eslint-plugin-perfectionist "^4.4.0"
+    eslint-plugin-regexp "^2.7.0"
+    eslint-plugin-toml "^0.12.0"
+    eslint-plugin-unicorn "^56.0.1"
+    eslint-plugin-unused-imports "^4.1.4"
+    eslint-plugin-vue "^9.32.0"
+    eslint-plugin-yml "^1.16.0"
+    eslint-processor-vue-blocks "^0.1.2"
+    globals "^15.14.0"
+    jsonc-eslint-parser "^2.4.0"
+    local-pkg "^0.5.1"
+    parse-gitignore "^2.0.0"
+    picocolors "^1.1.1"
+    toml-eslint-parser "^0.10.0"
+    vue-eslint-parser "^9.4.3"
+    yaml-eslint-parser "^1.2.3"
+    yargs "^17.7.2"
 
 "@antfu/install-pkg@^0.4.1":
   version "0.4.1"
@@ -88,6 +69,14 @@
     package-manager-detector "^0.2.0"
     tinyexec "^0.3.0"
 
+"@antfu/install-pkg@^0.5.0":
+  version "0.5.0"
+  resolved "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-0.5.0.tgz"
+  integrity sha512-dKnk2xlAyC7rvTkpkHmu+Qy/2Zc3Vm/l8PtNyIOGDBtXPY3kThfU4ORNEp3V7SXw5XSOb+tOJaUYpfquPzL/Tg==
+  dependencies:
+    package-manager-detector "^0.2.5"
+    tinyexec "^0.3.1"
+
 "@antfu/utils@^0.7.10":
   version "0.7.10"
   resolved "https://registry.npmjs.org/@antfu/utils/-/utils-0.7.10.tgz"
@@ -107,7 +96,7 @@
   resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.26.2.tgz"
   integrity sha512-Z0WgzSEa+aUcdiJuCIqgujCshpMWgUpgOxXotrYPSA53hA3qopNaqcJpyr0hVb1FeWdnqFA35/fUtXgBK8srQg==
 
-"@babel/core@^7.11.6", "@babel/core@^7.12.3", "@babel/core@^7.18.9", "@babel/core@^7.23.9", "@babel/core@^7.24.4":
+"@babel/core@^7.0.0", "@babel/core@^7.0.0-0", "@babel/core@^7.0.0-0 || ^8.0.0-0 <8.0.0", "@babel/core@^7.11.6", "@babel/core@^7.12.0", "@babel/core@^7.12.3", "@babel/core@^7.13.0", "@babel/core@^7.18.9", "@babel/core@^7.23.9", "@babel/core@^7.24.4", "@babel/core@^7.4.0 || ^8.0.0-0 <8.0.0", "@babel/core@^7.8.0":
   version "7.25.2"
   resolved "https://registry.npmjs.org/@babel/core/-/core-7.25.2.tgz"
   integrity sha512-BBt3opiCOxUr9euZ5/ro/Xv8/V7yJ5bjYMqG/C1YAo8MIKAnumZalCN+msbci3Pigy4lIQfPUpfMM27HMGaYEA==
@@ -274,7 +263,7 @@
   resolved "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz"
   integrity sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==
 
-"@babel/helper-validator-identifier@^7.19.1", "@babel/helper-validator-identifier@^7.25.9":
+"@babel/helper-validator-identifier@^7.24.7", "@babel/helper-validator-identifier@^7.25.9":
   version "7.25.9"
   resolved "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz"
   integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==
@@ -1031,7 +1020,7 @@
     "@babel/plugin-transform-modules-commonjs" "^7.25.9"
     "@babel/plugin-transform-typescript" "^7.25.9"
 
-"@babel/runtime@^7.0.0", "@babel/runtime@^7.10.1", "@babel/runtime@^7.11.1", "@babel/runtime@^7.12.5", "@babel/runtime@^7.17.8", "@babel/runtime@^7.18.3", "@babel/runtime@^7.20.6", "@babel/runtime@^7.20.7", "@babel/runtime@^7.21.0", "@babel/runtime@^7.21.5", "@babel/runtime@^7.22.3", "@babel/runtime@^7.24.4", "@babel/runtime@^7.3.1", "@babel/runtime@^7.8.4":
+"@babel/runtime@^7.0.0", "@babel/runtime@^7.10.1", "@babel/runtime@^7.11.1", "@babel/runtime@^7.12.5", "@babel/runtime@^7.17.8", "@babel/runtime@^7.18.3", "@babel/runtime@^7.20.7", "@babel/runtime@^7.21.0", "@babel/runtime@^7.22.3", "@babel/runtime@^7.23.2", "@babel/runtime@^7.24.4", "@babel/runtime@^7.25.0", "@babel/runtime@^7.3.1", "@babel/runtime@^7.8.4":
   version "7.26.0"
   resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.26.0.tgz"
   integrity sha512-FDSOghenHTiToteC/QRlv2q3DhPZ/oOXTBoirfWNx1Cx3TMVcGWQtMMmQcSvb/JjpNeGzx8Pq/b4fKEJuWm1sw==
@@ -1110,17 +1099,34 @@
   resolved "https://registry.npmjs.org/@chevrotain/utils/-/utils-11.0.3.tgz"
   integrity sha512-YslZMgtJUyuMbZ+aKvfF3x1f5liK4mWNxghFRv7jqRR9C3R3fAOGTTKvxXDa2Y1s9zSbcpuO0cAxDYsc9SrXoQ==
 
-"@chromatic-com/storybook@^1.9.0":
-  version "1.9.0"
-  resolved "https://registry.npmjs.org/@chromatic-com/storybook/-/storybook-1.9.0.tgz"
-  integrity sha512-vYQ+TcfktEE3GHnLZXHCzXF/sN9dw+KivH8a5cmPyd9YtQs7fZtHrEgsIjWpYycXiweKMo1Lm1RZsjxk8DH3rA==
+"@chromatic-com/storybook@^3.1.0":
+  version "3.2.3"
+  resolved "https://registry.npmjs.org/@chromatic-com/storybook/-/storybook-3.2.3.tgz"
+  integrity sha512-3+hfANx79kIjP1qrOSLxpoAXOiYUA0S7A0WI0A24kASrv7USFNNW8etR5TjUilMb0LmqKUn3wDwUK2h6aceQ9g==
   dependencies:
-    chromatic "^11.4.0"
+    chromatic "^11.15.0"
     filesize "^10.0.12"
     jsonfile "^6.1.0"
     react-confetti "^6.1.0"
     strip-ansi "^7.1.0"
 
+"@clack/core@0.4.0":
+  version "0.4.0"
+  resolved "https://registry.npmjs.org/@clack/core/-/core-0.4.0.tgz"
+  integrity sha512-YJCYBsyJfNDaTbvDUVSJ3SgSuPrcujarRgkJ5NLjexDZKvaOiVVJvAQYx8lIgG0qRT8ff0fPgqyBCVivanIZ+A==
+  dependencies:
+    picocolors "^1.0.0"
+    sisteransi "^1.0.5"
+
+"@clack/prompts@^0.9.0":
+  version "0.9.0"
+  resolved "https://registry.npmjs.org/@clack/prompts/-/prompts-0.9.0.tgz"
+  integrity sha512-nGsytiExgUr4FL0pR/LeqxA28nz3E0cW7eLTSh3Iod9TGrbBt8Y7BHbV3mmkNC4G0evdYyQ3ZsbiBkk7ektArA==
+  dependencies:
+    "@clack/core" "0.4.0"
+    picocolors "^1.0.0"
+    sisteransi "^1.0.5"
+
 "@cspotcode/source-map-support@^0.8.0":
   version "0.8.1"
   resolved "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz"
@@ -1128,193 +1134,247 @@
   dependencies:
     "@jridgewell/trace-mapping" "0.3.9"
 
-"@dagrejs/dagre@^1.1.2":
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/@dagrejs/dagre/-/dagre-1.1.2.tgz"
-  integrity sha512-F09dphqvHsbe/6C2t2unbmpr5q41BNPEfJCdn8Z7aEBpVSy/zFQ/b4SWsweQjWNsYMDvE2ffNUN8X0CeFsEGNw==
+"@dagrejs/dagre@^1.1.4":
+  version "1.1.4"
+  resolved "https://registry.npmjs.org/@dagrejs/dagre/-/dagre-1.1.4.tgz"
+  integrity sha512-QUTc54Cg/wvmlEUxB+uvoPVKFazM1H18kVHBQNmK2NbrDR5ihOCR6CXLnDSZzMcSQKJtabPUWridBOlJM3WkDg==
   dependencies:
-    "@dagrejs/graphlib" "2.2.2"
+    "@dagrejs/graphlib" "2.2.4"
 
-"@dagrejs/graphlib@2.2.2":
-  version "2.2.2"
-  resolved "https://registry.npmjs.org/@dagrejs/graphlib/-/graphlib-2.2.2.tgz"
-  integrity sha512-CbyGpCDKsiTg/wuk79S7Muoj8mghDGAESWGxcSyhHX5jD35vYMBZochYVFzlHxynpE9unpu6O+4ZuhrLxASsOg==
+"@dagrejs/graphlib@2.2.4":
+  version "2.2.4"
+  resolved "https://registry.npmjs.org/@dagrejs/graphlib/-/graphlib-2.2.4.tgz"
+  integrity sha512-mepCf/e9+SKYy1d02/UkvSy6+6MoyXhVxP8lLDfA7BPE1X1d4dR0sZznmbM8/XVJ1GPM+Svnx7Xj6ZweByWUkw==
 
-"@emnapi/runtime@^1.2.0":
-  version "1.3.1"
-  resolved "https://registry.yarnpkg.com/@emnapi/runtime/-/runtime-1.3.1.tgz#0fcaa575afc31f455fd33534c19381cfce6c6f60"
-  integrity sha512-kEBmG8KyqtxJZv+ygbEim+KCGtIq1fC22Ms3S4ziXmYKm8uyoLX0MHONVKwp+9opg390VaKRNt4a7A9NwmpNhw==
+"@emoji-mart/data@^1.2.1":
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/@emoji-mart/data/-/data-1.2.1.tgz"
+  integrity sha512-no2pQMWiBy6gpBEiqGeU77/bFejDqUTRY7KX+0+iur13op3bqUsXdnwoZs6Xb1zbv0gAj5VvS1PWoUUckSr5Dw==
+
+"@es-joy/jsdoccomment@^0.49.0", "@es-joy/jsdoccomment@~0.49.0":
+  version "0.49.0"
+  resolved "https://registry.npmjs.org/@es-joy/jsdoccomment/-/jsdoccomment-0.49.0.tgz"
+  integrity sha512-xjZTSFgECpb9Ohuk5yMX5RhUEbfeQcuOp8IF60e+wyzWEF0M5xeSgqsfLtvPEX8BIyOX9saZqzuGPmZ8oWc+5Q==
   dependencies:
-    tslib "^2.4.0"
-
-"@emoji-mart/data@^1.1.2":
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/@emoji-mart/data/-/data-1.1.2.tgz"
-  integrity sha512-1HP8BxD2azjqWJvxIaWAMyTySeZY0Osr83ukYjltPVkNXeJvTz7yDrPLBtnrD5uqJ3tg4CcLuuBW09wahqL/fg==
-
-"@esbuild/aix-ppc64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/aix-ppc64/-/aix-ppc64-0.24.0.tgz#b57697945b50e99007b4c2521507dc613d4a648c"
-  integrity sha512-WtKdFM7ls47zkKHFVzMz8opM7LkcsIp9amDUBIAWirg70RM71WRSjdILPsY5Uv1D42ZpUfaPILDlfactHgsRkw==
-
-"@esbuild/android-arm64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/android-arm64/-/android-arm64-0.24.0.tgz#1add7e0af67acefd556e407f8497e81fddad79c0"
-  integrity sha512-Vsm497xFM7tTIPYK9bNTYJyF/lsP590Qc1WxJdlB6ljCbdZKU9SY8i7+Iin4kyhV/KV5J2rOKsBQbB77Ab7L/w==
-
-"@esbuild/android-arm@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/android-arm/-/android-arm-0.24.0.tgz#ab7263045fa8e090833a8e3c393b60d59a789810"
-  integrity sha512-arAtTPo76fJ/ICkXWetLCc9EwEHKaeya4vMrReVlEIUCAUncH7M4bhMQ+M9Vf+FFOZJdTNMXNBrWwW+OXWpSew==
-
-"@esbuild/android-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/android-x64/-/android-x64-0.24.0.tgz#e8f8b196cfdfdd5aeaebbdb0110983460440e705"
-  integrity sha512-t8GrvnFkiIY7pa7mMgJd7p8p8qqYIz1NYiAoKc75Zyv73L3DZW++oYMSHPRarcotTKuSs6m3hTOa5CKHaS02TQ==
+    comment-parser "1.4.1"
+    esquery "^1.6.0"
+    jsdoc-type-pratt-parser "~4.1.0"
 
 "@esbuild/darwin-arm64@0.24.0":
   version "0.24.0"
   resolved "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.24.0.tgz"
   integrity sha512-CKyDpRbK1hXwv79soeTJNHb5EiG6ct3efd/FTPdzOWdbZZfGhpbcqIpiD0+vwmpu0wTIL97ZRPZu8vUt46nBSw==
 
-"@esbuild/darwin-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/darwin-x64/-/darwin-x64-0.24.0.tgz#33087aab31a1eb64c89daf3d2cf8ce1775656107"
-  integrity sha512-rgtz6flkVkh58od4PwTRqxbKH9cOjaXCMZgWD905JOzjFKW+7EiUObfd/Kav+A6Gyud6WZk9w+xu6QLytdi2OA==
-
-"@esbuild/freebsd-arm64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/freebsd-arm64/-/freebsd-arm64-0.24.0.tgz#bb76e5ea9e97fa3c753472f19421075d3a33e8a7"
-  integrity sha512-6Mtdq5nHggwfDNLAHkPlyLBpE5L6hwsuXZX8XNmHno9JuL2+bg2BX5tRkwjyfn6sKbxZTq68suOjgWqCicvPXA==
-
-"@esbuild/freebsd-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/freebsd-x64/-/freebsd-x64-0.24.0.tgz#e0e2ce9249fdf6ee29e5dc3d420c7007fa579b93"
-  integrity sha512-D3H+xh3/zphoX8ck4S2RxKR6gHlHDXXzOf6f/9dbFt/NRBDIE33+cVa49Kil4WUjxMGW0ZIYBYtaGCa2+OsQwQ==
-
-"@esbuild/linux-arm64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-arm64/-/linux-arm64-0.24.0.tgz#d1b2aa58085f73ecf45533c07c82d81235388e75"
-  integrity sha512-TDijPXTOeE3eaMkRYpcy3LarIg13dS9wWHRdwYRnzlwlA370rNdZqbcp0WTyyV/k2zSxfko52+C7jU5F9Tfj1g==
-
-"@esbuild/linux-arm@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-arm/-/linux-arm-0.24.0.tgz#8e4915df8ea3e12b690a057e77a47b1d5935ef6d"
-  integrity sha512-gJKIi2IjRo5G6Glxb8d3DzYXlxdEj2NlkixPsqePSZMhLudqPhtZ4BUrpIuTjJYXxvF9njql+vRjB2oaC9XpBw==
-
-"@esbuild/linux-ia32@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-ia32/-/linux-ia32-0.24.0.tgz#8200b1110666c39ab316572324b7af63d82013fb"
-  integrity sha512-K40ip1LAcA0byL05TbCQ4yJ4swvnbzHscRmUilrmP9Am7//0UjPreh4lpYzvThT2Quw66MhjG//20mrufm40mA==
-
-"@esbuild/linux-loong64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-loong64/-/linux-loong64-0.24.0.tgz#6ff0c99cf647504df321d0640f0d32e557da745c"
-  integrity sha512-0mswrYP/9ai+CU0BzBfPMZ8RVm3RGAN/lmOMgW4aFUSOQBjA31UP8Mr6DDhWSuMwj7jaWOT0p0WoZ6jeHhrD7g==
-
-"@esbuild/linux-mips64el@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-mips64el/-/linux-mips64el-0.24.0.tgz#3f720ccd4d59bfeb4c2ce276a46b77ad380fa1f3"
-  integrity sha512-hIKvXm0/3w/5+RDtCJeXqMZGkI2s4oMUGj3/jM0QzhgIASWrGO5/RlzAzm5nNh/awHE0A19h/CvHQe6FaBNrRA==
-
-"@esbuild/linux-ppc64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-ppc64/-/linux-ppc64-0.24.0.tgz#9d6b188b15c25afd2e213474bf5f31e42e3aa09e"
-  integrity sha512-HcZh5BNq0aC52UoocJxaKORfFODWXZxtBaaZNuN3PUX3MoDsChsZqopzi5UupRhPHSEHotoiptqikjN/B77mYQ==
-
-"@esbuild/linux-riscv64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-riscv64/-/linux-riscv64-0.24.0.tgz#f989fdc9752dfda286c9cd87c46248e4dfecbc25"
-  integrity sha512-bEh7dMn/h3QxeR2KTy1DUszQjUrIHPZKyO6aN1X4BCnhfYhuQqedHaa5MxSQA/06j3GpiIlFGSsy1c7Gf9padw==
-
-"@esbuild/linux-s390x@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-s390x/-/linux-s390x-0.24.0.tgz#29ebf87e4132ea659c1489fce63cd8509d1c7319"
-  integrity sha512-ZcQ6+qRkw1UcZGPyrCiHHkmBaj9SiCD8Oqd556HldP+QlpUIe2Wgn3ehQGVoPOvZvtHm8HPx+bH20c9pvbkX3g==
-
-"@esbuild/linux-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/linux-x64/-/linux-x64-0.24.0.tgz#4af48c5c0479569b1f359ffbce22d15f261c0cef"
-  integrity sha512-vbutsFqQ+foy3wSSbmjBXXIJ6PL3scghJoM8zCL142cGaZKAdCZHyf+Bpu/MmX9zT9Q0zFBVKb36Ma5Fzfa8xA==
-
-"@esbuild/netbsd-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/netbsd-x64/-/netbsd-x64-0.24.0.tgz#1ae73d23cc044a0ebd4f198334416fb26c31366c"
-  integrity sha512-hjQ0R/ulkO8fCYFsG0FZoH+pWgTTDreqpqY7UnQntnaKv95uP5iW3+dChxnx7C3trQQU40S+OgWhUVwCjVFLvg==
-
-"@esbuild/openbsd-arm64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/openbsd-arm64/-/openbsd-arm64-0.24.0.tgz#5d904a4f5158c89859fd902c427f96d6a9e632e2"
-  integrity sha512-MD9uzzkPQbYehwcN583yx3Tu5M8EIoTD+tUgKF982WYL9Pf5rKy9ltgD0eUgs8pvKnmizxjXZyLt0z6DC3rRXg==
-
-"@esbuild/openbsd-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/openbsd-x64/-/openbsd-x64-0.24.0.tgz#4c8aa88c49187c601bae2971e71c6dc5e0ad1cdf"
-  integrity sha512-4ir0aY1NGUhIC1hdoCzr1+5b43mw99uNwVzhIq1OY3QcEwPDO3B7WNXBzaKY5Nsf1+N11i1eOfFcq+D/gOS15Q==
-
-"@esbuild/sunos-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/sunos-x64/-/sunos-x64-0.24.0.tgz#8ddc35a0ea38575fa44eda30a5ee01ae2fa54dd4"
-  integrity sha512-jVzdzsbM5xrotH+W5f1s+JtUy1UWgjU0Cf4wMvffTB8m6wP5/kx0KiaLHlbJO+dMgtxKV8RQ/JvtlFcdZ1zCPA==
-
-"@esbuild/win32-arm64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/win32-arm64/-/win32-arm64-0.24.0.tgz#6e79c8543f282c4539db684a207ae0e174a9007b"
-  integrity sha512-iKc8GAslzRpBytO2/aN3d2yb2z8XTVfNV0PjGlCxKo5SgWmNXx82I/Q3aG1tFfS+A2igVCY97TJ8tnYwpUWLCA==
-
-"@esbuild/win32-ia32@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/win32-ia32/-/win32-ia32-0.24.0.tgz#057af345da256b7192d18b676a02e95d0fa39103"
-  integrity sha512-vQW36KZolfIudCcTnaTpmLQ24Ha1RjygBo39/aLkM2kmjkWmZGEJ5Gn9l5/7tzXA42QGIoWbICfg6KLLkIw6yw==
-
-"@esbuild/win32-x64@0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@esbuild/win32-x64/-/win32-x64-0.24.0.tgz#168ab1c7e1c318b922637fad8f339d48b01e1244"
-  integrity sha512-7IAFPrjSQIJrGsK6flwg7NFmwBoSTyF3rl7If0hNUFQU4ilTsEPL6GuMuU9BfIWVVGuRnuIidkSMC+c0Otu8IA==
-
-"@eslint-community/eslint-utils@^4.1.2", "@eslint-community/eslint-utils@^4.2.0", "@eslint-community/eslint-utils@^4.3.0":
-  version "4.4.0"
-  resolved "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.0.tgz"
-  integrity sha512-1/sA4dwrzBAyeUoQ6oxahHKmrZvsnLCg4RfxW3ZFGGmQkSNQPFNLV9CUEFQP1x9EYXHTo5p6xdhZM1Ne9p/AfA==
+"@eslint-community/eslint-plugin-eslint-comments@^4.4.1":
+  version "4.4.1"
+  resolved "https://registry.npmjs.org/@eslint-community/eslint-plugin-eslint-comments/-/eslint-plugin-eslint-comments-4.4.1.tgz"
+  integrity sha512-lb/Z/MzbTf7CaVYM9WCFNQZ4L1yi3ev2fsFPF99h31ljhSEyUoyEsKsNWiU+qD1glbYTDJdqgyaLKtyTkkqtuQ==
   dependencies:
-    eslint-visitor-keys "^3.3.0"
+    escape-string-regexp "^4.0.0"
+    ignore "^5.2.4"
 
-"@eslint-community/regexpp@^4.4.0", "@eslint-community/regexpp@^4.6.1":
+"@eslint-community/eslint-utils@^4.1.2", "@eslint-community/eslint-utils@^4.2.0", "@eslint-community/eslint-utils@^4.4.0", "@eslint-community/eslint-utils@^4.4.1":
+  version "4.4.1"
+  resolved "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.1.tgz"
+  integrity sha512-s3O3waFUrMV8P/XaF/+ZTp1X9XBZW1a4B97ZnjQF2KYWaFD2A8KyFBsrsfSjEmjn3RGWAIuvlneuZm3CUK3jbA==
+  dependencies:
+    eslint-visitor-keys "^3.4.3"
+
+"@eslint-community/regexpp@^4.10.0", "@eslint-community/regexpp@^4.11.0", "@eslint-community/regexpp@^4.12.1", "@eslint-community/regexpp@^4.8.0":
   version "4.12.1"
   resolved "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.12.1.tgz"
   integrity sha512-CCZCDJuduB9OUkFkY2IgppNZMi2lBQgD2qzwXkEia16cge2pijY/aXi96CJMquDMn3nJdlPV1A5KrJEXwfLNzQ==
 
-"@eslint/eslintrc@^2.1.4":
-  version "2.1.4"
-  resolved "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-2.1.4.tgz"
-  integrity sha512-269Z39MS6wVJtsoUl10L60WdkhJVdPG24Q4eZTH3nnF6lpvSShEK3wQjDX9JRWAUPvPh7COouPpU9IrqaZFvtQ==
+"@eslint-react/ast@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/ast/-/ast-1.22.1.tgz"
+  integrity sha512-uk44JH5RB9JytQqiHSPu89MAFlyvJ0AaSZIfQBJijjh08lswwvHOAiWLbl0iPzm7prrV4Lo3pjC3RwbVSZd+CA==
+  dependencies:
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/typescript-estree" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    birecord "^0.1.1"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+"@eslint-react/core@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/core/-/core-1.22.1.tgz"
+  integrity sha512-mzivc7X+uk19AKg+vy3EsyJoFGrhFjSCRPq1bgFDsovw67OxWP9qHNa265VIiqmRjk0iviaRmcar5tQBWhX41A==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    birecord "^0.1.1"
+    short-unique-id "^5.2.0"
+    ts-pattern "^5.6.0"
+
+"@eslint-react/eff@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/eff/-/eff-1.22.1.tgz"
+  integrity sha512-aUu5vvw9m/mv0SToTLkObdY7h6S53q673bdXiUBjwNPgIOPrfl7VBnv2dXnqd4cdVvk5e077yPKI/mwl9Vsllg==
+
+"@eslint-react/eslint-plugin@^1.15.0", "@eslint-react/eslint-plugin@^1.19.0":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/eslint-plugin/-/eslint-plugin-1.22.1.tgz"
+  integrity sha512-/+9crS1VpZk00S/oXrJG2h8BYxSB5PwGcPi8OgAXHU6TEICC/9EVqOgeRfNz+cyOLxN+Oq31+dlZA3YSN2rKsg==
+  dependencies:
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    eslint-plugin-react-debug "1.22.1"
+    eslint-plugin-react-dom "1.22.1"
+    eslint-plugin-react-hooks-extra "1.22.1"
+    eslint-plugin-react-naming-convention "1.22.1"
+    eslint-plugin-react-web-api "1.22.1"
+    eslint-plugin-react-x "1.22.1"
+
+"@eslint-react/jsx@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/jsx/-/jsx-1.22.1.tgz"
+  integrity sha512-da49BHH28yAc1l5Nnf30v0G/crJN2ovz0afRfMl2dAxkZTQmp5VeiddojEbKA3lPgnaIrfrvG4UA43EITXX5ow==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    birecord "^0.1.1"
+    ts-pattern "^5.6.0"
+
+"@eslint-react/shared@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/shared/-/shared-1.22.1.tgz"
+  integrity sha512-nRzgOk0+fMHb1C02p4ue9Sfijkx5AVU8WL0w0V5Mk9+d4fUpxHJu12eahbwgTaLGaX5TP3KWzIfA1q1HNigPUg==
+  dependencies:
+    "@eslint-react/eff" "1.22.1"
+    "@typescript-eslint/utils" "^8.18.2"
+    fast-equals "^5.0.1"
+    micro-memoize "^4.1.2"
+    picomatch "^4.0.2"
+    ts-pattern "^5.6.0"
+    valibot "^1.0.0-beta.9"
+
+"@eslint-react/types@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/types/-/types-1.22.1.tgz"
+  integrity sha512-uLl4aDLDYzR7XTqFyUooZDocmX3Dy/3ANQDiyLVXFy055MyRhti9QjdbI+wAlkmynZiOE7oVoRtwR9JgSus/uw==
+  dependencies:
+    "@eslint-react/eff" "1.22.1"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+
+"@eslint-react/var@1.22.1":
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/@eslint-react/var/-/var-1.22.1.tgz"
+  integrity sha512-QzkS1c6XrKq8Dl6llObmIBL5KKAJZUOsugFogXwLBav1a9tf76Fc/ozqEutP4hwoOWtTWhlQR3guhwVrMHTBcA==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+"@eslint/compat@^1.1.1":
+  version "1.2.4"
+  resolved "https://registry.npmjs.org/@eslint/compat/-/compat-1.2.4.tgz"
+  integrity sha512-S8ZdQj/N69YAtuqFt7653jwcvuUj131+6qGLUyDqfDg1OIoBQ66OCuXC473YQfO2AaxITTutiRQiDwoo7ZLYyg==
+
+"@eslint/config-array@^0.19.0":
+  version "0.19.1"
+  resolved "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.19.1.tgz"
+  integrity sha512-fo6Mtm5mWyKjA/Chy1BYTdn5mGJoDNjC7C64ug20ADsRDGrA85bN3uK3MaKbeRkRuuIEAR5N33Jr1pbm411/PA==
+  dependencies:
+    "@eslint/object-schema" "^2.1.5"
+    debug "^4.3.1"
+    minimatch "^3.1.2"
+
+"@eslint/core@^0.9.0":
+  version "0.9.1"
+  resolved "https://registry.npmjs.org/@eslint/core/-/core-0.9.1.tgz"
+  integrity sha512-GuUdqkyyzQI5RMIWkHhvTWLCyLo1jNK3vzkSyaExH5kHPDHcuL2VOpHjmMY+y3+NC69qAKToBqldTBgYeLSr9Q==
+  dependencies:
+    "@types/json-schema" "^7.0.15"
+
+"@eslint/eslintrc@^3.1.0", "@eslint/eslintrc@^3.2.0":
+  version "3.2.0"
+  resolved "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.2.0.tgz"
+  integrity sha512-grOjVNN8P3hjJn/eIETF1wwd12DdnwFDoyceUJLYYdkpbwq3nLi+4fqrTAONx7XDALqlL220wC/RHSC/QTI/0w==
   dependencies:
     ajv "^6.12.4"
     debug "^4.3.2"
-    espree "^9.6.0"
-    globals "^13.19.0"
+    espree "^10.0.1"
+    globals "^14.0.0"
     ignore "^5.2.0"
     import-fresh "^3.2.1"
     js-yaml "^4.1.0"
     minimatch "^3.1.2"
     strip-json-comments "^3.1.1"
 
-"@eslint/js@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.npmjs.org/@eslint/js/-/js-8.57.1.tgz"
-  integrity sha512-d9zaMRSTIKDLhctzH12MtXvJKSSUhaHcjV+2Z+GK+EEY7XKpP5yR4x+N3TAcHTcu963nIr+TMcCb4DBCYX1z6Q==
+"@eslint/js@^9.13.0", "@eslint/js@9.17.0":
+  version "9.17.0"
+  resolved "https://registry.npmjs.org/@eslint/js/-/js-9.17.0.tgz"
+  integrity sha512-Sxc4hqcs1kTu0iID3kcZDW3JHq2a77HO9P8CP6YEA/FpH3Ll8UXE2r/86Rz9YJLKme39S9vU5OWNjC6Xl0Cr3w==
 
-"@faker-js/faker@^7.6.0":
-  version "7.6.0"
-  resolved "https://registry.npmjs.org/@faker-js/faker/-/faker-7.6.0.tgz"
-  integrity sha512-XK6BTq1NDMo9Xqw/YkYyGjSsg44fbNwYRx7QK2CuoQgyy+f1rrTDHoExVM5PsyXCtfl2vs2vVJ0MN0yN6LppRw==
-
-"@floating-ui/core@^1.1.0", "@floating-ui/core@^1.4.1":
-  version "1.4.1"
-  resolved "https://registry.npmjs.org/@floating-ui/core/-/core-1.4.1.tgz"
-  integrity sha512-jk3WqquEJRlcyu7997NtR5PibI+y5bi+LS3hPmguVClypenMsCY3CBa3LAQnozRCtCrYWSEtAdiskpamuJRFOQ==
+"@eslint/markdown@^6.2.1":
+  version "6.2.1"
+  resolved "https://registry.npmjs.org/@eslint/markdown/-/markdown-6.2.1.tgz"
+  integrity sha512-cKVd110hG4ICHmWhIwZJfKmmJBvbiDWyrHODJknAtudKgZtlROGoLX9UEOA0o746zC0hCY4UV4vR+aOGW9S6JQ==
   dependencies:
-    "@floating-ui/utils" "^0.1.1"
+    "@eslint/plugin-kit" "^0.2.0"
+    mdast-util-from-markdown "^2.0.1"
+    mdast-util-gfm "^3.0.0"
+    micromark-extension-gfm "^3.0.0"
+
+"@eslint/object-schema@^2.1.5":
+  version "2.1.5"
+  resolved "https://registry.npmjs.org/@eslint/object-schema/-/object-schema-2.1.5.tgz"
+  integrity sha512-o0bhxnL89h5Bae5T318nFoFzGy+YE5i/gGkoPAgkmTVdRKTiv3p8JHevPiPaMwoloKfEiiaHlawCqaZMqRm+XQ==
+
+"@eslint/plugin-kit@^0.2.0", "@eslint/plugin-kit@^0.2.3":
+  version "0.2.4"
+  resolved "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.2.4.tgz"
+  integrity sha512-zSkKow6H5Kdm0ZUQUB2kV5JIXqoG0+uH5YADhaEHswm664N9Db8dXSi0nMJpacpMf+MyyglF1vnZohpEg5yUtg==
+  dependencies:
+    levn "^0.4.1"
+
+"@faker-js/faker@^9.0.3":
+  version "9.3.0"
+  resolved "https://registry.npmjs.org/@faker-js/faker/-/faker-9.3.0.tgz"
+  integrity sha512-r0tJ3ZOkMd9xsu3VRfqlFR6cz0V/jFYRswAIpC+m/DIfAUXq7g8N7wTAlhSANySXYGKzGryfDXwtwsY8TxEIDw==
+
+"@floating-ui/core@^1.1.0", "@floating-ui/core@^1.6.0":
+  version "1.6.8"
+  resolved "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.8.tgz"
+  integrity sha512-7XJ9cPU+yI2QeLS+FCSlqNFZJq8arvswefkZrYI1yQBbftw6FyrZOxYSh+9S7z7TpeWlRt9zJ5IhM1WIL334jA==
+  dependencies:
+    "@floating-ui/utils" "^0.2.8"
+
+"@floating-ui/dom@^1.0.0":
+  version "1.6.12"
+  resolved "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.12.tgz"
+  integrity sha512-NP83c0HjokcGVEMeoStg317VD9W7eDlGK7457dMBANbKA6GJZdc7rjujdgqzTaz93jkGgc5P/jeWbaCHnMNc+w==
+  dependencies:
+    "@floating-ui/core" "^1.6.0"
+    "@floating-ui/utils" "^0.2.8"
 
 "@floating-ui/dom@1.1.1":
   version "1.1.1"
@@ -1323,41 +1383,33 @@
   dependencies:
     "@floating-ui/core" "^1.1.0"
 
-"@floating-ui/dom@^1.5.1":
-  version "1.5.1"
-  resolved "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.5.1.tgz"
-  integrity sha512-KwvVcPSXg6mQygvA1TjbN/gh///36kKtllIF8SUm0qpFj8+rvYrpvlYdL1JoA71SHpDqgSSdGOSoQ0Mp3uY5aw==
+"@floating-ui/react-dom@^2.1.2":
+  version "2.1.2"
+  resolved "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.1.2.tgz"
+  integrity sha512-06okr5cgPzMNBy+Ycse2A6udMi4bqwW/zgBF/rwjcNqWkyr82Mcg8b0vjX8OJpZFy/FKjJmw6wV7t44kK6kW7A==
   dependencies:
-    "@floating-ui/core" "^1.4.1"
-    "@floating-ui/utils" "^0.1.1"
+    "@floating-ui/dom" "^1.0.0"
 
-"@floating-ui/react-dom@^2.0.1":
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.2.tgz"
-  integrity sha512-5qhlDvjaLmAst/rKb3VdlCinwTF4EYMiVxuuc/HVUjs46W0zgtbMmAZ1UTsDrRTxRmUEzl92mOtWbeeXL26lSQ==
+"@floating-ui/react@^0.26.25":
+  version "0.26.28"
+  resolved "https://registry.npmjs.org/@floating-ui/react/-/react-0.26.28.tgz"
+  integrity sha512-yORQuuAtVpiRjpMhdc0wJj06b9JFjrYF4qp96j++v2NBpbi6SEGF7donUJ3TMieerQ6qVkAv1tgr7L4r5roTqw==
   dependencies:
-    "@floating-ui/dom" "^1.5.1"
+    "@floating-ui/react-dom" "^2.1.2"
+    "@floating-ui/utils" "^0.2.8"
+    tabbable "^6.0.0"
 
-"@floating-ui/react@^0.25.2":
-  version "0.25.2"
-  resolved "https://registry.npmjs.org/@floating-ui/react/-/react-0.25.2.tgz"
-  integrity sha512-3e10G9LFOgl32/SMWLBOwT7oVCtB+d5zBsU2GxTSVOvRgZexwno5MlYbc0BaXr+TR5EEGpqe9tg9OUbjlrVRnQ==
+"@floating-ui/utils@^0.2.8":
+  version "0.2.8"
+  resolved "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.8.tgz"
+  integrity sha512-kym7SodPp8/wloecOpcmSnWJsK7M0E5Wg8UcFA+uO4B9s5d0ywXOEro/8HM9x0rW+TljRzul/14UYz3TleT3ig==
+
+"@formatjs/intl-localematcher@^0.5.6":
+  version "0.5.9"
+  resolved "https://registry.npmjs.org/@formatjs/intl-localematcher/-/intl-localematcher-0.5.9.tgz"
+  integrity sha512-8zkGu/sv5euxbjfZ/xmklqLyDGQSxsLqg8XOq88JW3cmJtzhCP8EtSJXlaKZnVO4beEaoiT9wj4eIoCQ9smwxA==
   dependencies:
-    "@floating-ui/react-dom" "^2.0.1"
-    "@floating-ui/utils" "^0.1.1"
-    tabbable "^6.0.1"
-
-"@floating-ui/utils@^0.1.1":
-  version "0.1.1"
-  resolved "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.1.1.tgz"
-  integrity sha512-m0G6wlnhm/AX0H12IOWtK8gASEMffnX08RtKkCgTdHb9JpHKGloI7icFfLg9ZmQeavcvR0PKmzxClyuFPSjKWw==
-
-"@formatjs/intl-localematcher@^0.5.4":
-  version "0.5.4"
-  resolved "https://registry.npmjs.org/@formatjs/intl-localematcher/-/intl-localematcher-0.5.4.tgz"
-  integrity sha512-zTwEpWOzZ2CiKcB93BLngUX59hQkuZjT2+SAQEscSm52peDW/getsawMcWF1rGRpMCX6D7nSJA3CzJ8gn13N/g==
-  dependencies:
-    tslib "^2.4.0"
+    tslib "2"
 
 "@headlessui/react@^1.7.13":
   version "1.7.15"
@@ -1371,29 +1423,38 @@
   resolved "https://registry.npmjs.org/@heroicons/react/-/react-2.0.18.tgz"
   integrity sha512-7TyMjRrZZMBPa+/5Y8lN0iyvUU/01PeMGX2+RE7cQWpEUIcb4QotzUObFkJDejj/HUH4qjP/eQ0gzzKs2f+6Yw==
 
-"@hookform/resolvers@^3.3.4":
-  version "3.4.2"
-  resolved "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.4.2.tgz"
-  integrity sha512-1m9uAVIO8wVf7VCDAGsuGA0t6Z3m6jVGAN50HkV9vYLl0yixKK/Z1lr01vaRvYCkIKGoy1noVRxMzQYb4y/j1Q==
+"@hookform/resolvers@^3.9.0":
+  version "3.9.1"
+  resolved "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.9.1.tgz"
+  integrity sha512-ud2HqmGBM0P0IABqoskKWI6PEf6ZDDBZkFqe2Vnl+mTHCEHzr3ISjjZyCwTjC/qpL25JC9aIDkloQejvMeq0ug==
 
-"@humanwhocodes/config-array@^0.13.0":
-  version "0.13.0"
-  resolved "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.13.0.tgz"
-  integrity sha512-DZLEEqFWQFiyK6h5YIeynKx7JlvCYWL0cImfSRXZ9l4Sg2efkFGTuFf6vzXjK1cq6IYkU+Eg/JizXw+TD2vRNw==
+"@humanfs/core@^0.19.1":
+  version "0.19.1"
+  resolved "https://registry.npmjs.org/@humanfs/core/-/core-0.19.1.tgz"
+  integrity sha512-5DyQ4+1JEUzejeK1JGICcideyfUbGixgS9jNgex5nqkW+cY7WZhxBigmieN5Qnw9ZosSNVC9KQKyb+GUaGyKUA==
+
+"@humanfs/node@^0.16.6":
+  version "0.16.6"
+  resolved "https://registry.npmjs.org/@humanfs/node/-/node-0.16.6.tgz"
+  integrity sha512-YuI2ZHQL78Q5HbhDiBA1X4LmYdXCKCMQIfw0pw7piHJwyREFebJUvrQN4cMssyES6x+vfUbx1CIpaQUKYdQZOw==
   dependencies:
-    "@humanwhocodes/object-schema" "^2.0.3"
-    debug "^4.3.1"
-    minimatch "^3.0.5"
+    "@humanfs/core" "^0.19.1"
+    "@humanwhocodes/retry" "^0.3.0"
 
 "@humanwhocodes/module-importer@^1.0.1":
   version "1.0.1"
   resolved "https://registry.npmjs.org/@humanwhocodes/module-importer/-/module-importer-1.0.1.tgz"
   integrity sha512-bxveV4V8v5Yb4ncFTT3rPSgZBOpCkjfK0y4oVVVJwIuDVBRMDXrPyXRL988i5ap9m9bnyEEjWfm5WkBmtffLfA==
 
-"@humanwhocodes/object-schema@^2.0.3":
-  version "2.0.3"
-  resolved "https://registry.npmjs.org/@humanwhocodes/object-schema/-/object-schema-2.0.3.tgz"
-  integrity sha512-93zYdMES/c1D69yZiKDBj0V24vqNzB/koF26KPaagAfd3P/4gUlh3Dys5ogAK+Exi9QyzlD8x/08Zt7wIKcDcA==
+"@humanwhocodes/retry@^0.3.0":
+  version "0.3.1"
+  resolved "https://registry.npmjs.org/@humanwhocodes/retry/-/retry-0.3.1.tgz"
+  integrity sha512-JBxkERygn7Bv/GbN5Rv8Ul6LVknS+5Bp6RgDC/O8gEBU/yeH5Ui5C/OlWrTb6qct7LjjfT6Re2NxB0ln0yYybA==
+
+"@humanwhocodes/retry@^0.4.1":
+  version "0.4.1"
+  resolved "https://registry.npmjs.org/@humanwhocodes/retry/-/retry-0.4.1.tgz"
+  integrity sha512-c7hNEllBlenFTHBky65mhq8WD2kbN9Q6gk0bTk8lSBvc554jpXSkST1iePudpt7+A/AQvuHs9EMqjHDXMY1lrA==
 
 "@iconify/types@^2.0.0":
   version "2.0.0"
@@ -1421,111 +1482,22 @@
   optionalDependencies:
     "@img/sharp-libvips-darwin-arm64" "1.0.4"
 
-"@img/sharp-darwin-x64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.33.5.tgz#e03d3451cd9e664faa72948cc70a403ea4063d61"
-  integrity sha512-fyHac4jIc1ANYGRDxtiqelIbdWkIuQaI84Mv45KvGRRxSAa7o7d1ZKAOBaYbnepLC1WqxfpimdeWfvqqSGwR2Q==
-  optionalDependencies:
-    "@img/sharp-libvips-darwin-x64" "1.0.4"
-
 "@img/sharp-libvips-darwin-arm64@1.0.4":
   version "1.0.4"
   resolved "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.0.4.tgz"
   integrity sha512-XblONe153h0O2zuFfTAbQYAX2JhYmDHeWikp1LM9Hul9gVPjFY427k6dFEcOL72O01QxQsWi761svJ/ev9xEDg==
 
-"@img/sharp-libvips-darwin-x64@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.0.4.tgz#e0456f8f7c623f9dbfbdc77383caa72281d86062"
-  integrity sha512-xnGR8YuZYfJGmWPvmlunFaWJsb9T/AO2ykoP3Fz/0X5XV2aoYBPkX6xqCQvUTKKiLddarLaxpzNe+b1hjeWHAQ==
-
-"@img/sharp-libvips-linux-arm64@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.0.4.tgz#979b1c66c9a91f7ff2893556ef267f90ebe51704"
-  integrity sha512-9B+taZ8DlyyqzZQnoeIvDVR/2F4EbMepXMc/NdVbkzsJbzkUjhXv/70GQJ7tdLA4YJgNP25zukcxpX2/SueNrA==
-
-"@img/sharp-libvips-linux-arm@1.0.5":
-  version "1.0.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linux-arm/-/sharp-libvips-linux-arm-1.0.5.tgz#99f922d4e15216ec205dcb6891b721bfd2884197"
-  integrity sha512-gvcC4ACAOPRNATg/ov8/MnbxFDJqf/pDePbBnuBDcjsI8PssmjoKMAz4LtLaVi+OnSb5FK/yIOamqDwGmXW32g==
-
-"@img/sharp-libvips-linux-s390x@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linux-s390x/-/sharp-libvips-linux-s390x-1.0.4.tgz#f8a5eb1f374a082f72b3f45e2fb25b8118a8a5ce"
-  integrity sha512-u7Wz6ntiSSgGSGcjZ55im6uvTrOxSIS8/dgoVMoiGE9I6JAfU50yH5BoDlYA1tcuGS7g/QNtetJnxA6QEsCVTA==
-
-"@img/sharp-libvips-linux-x64@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linux-x64/-/sharp-libvips-linux-x64-1.0.4.tgz#d4c4619cdd157774906e15770ee119931c7ef5e0"
-  integrity sha512-MmWmQ3iPFZr0Iev+BAgVMb3ZyC4KeFc3jFxnNbEPas60e1cIfevbtuyf9nDGIzOaW9PdnDciJm+wFFaTlj5xYw==
-
-"@img/sharp-libvips-linuxmusl-arm64@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linuxmusl-arm64/-/sharp-libvips-linuxmusl-arm64-1.0.4.tgz#166778da0f48dd2bded1fa3033cee6b588f0d5d5"
-  integrity sha512-9Ti+BbTYDcsbp4wfYib8Ctm1ilkugkA/uscUn6UXK1ldpC1JjiXbLfFZtRlBhjPZ5o1NCLiDbg8fhUPKStHoTA==
-
-"@img/sharp-libvips-linuxmusl-x64@1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@img/sharp-libvips-linuxmusl-x64/-/sharp-libvips-linuxmusl-x64-1.0.4.tgz#93794e4d7720b077fcad3e02982f2f1c246751ff"
-  integrity sha512-viYN1KX9m+/hGkJtvYYp+CCLgnJXwiQB39damAO7WMdKWlIhmYTfHjwSbQeUK/20vY154mwezd9HflVFM1wVSw==
-
-"@img/sharp-linux-arm64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.33.5.tgz#edb0697e7a8279c9fc829a60fc35644c4839bb22"
-  integrity sha512-JMVv+AMRyGOHtO1RFBiJy/MBsgz0x4AWrT6QoEVVTyh1E39TrCUpTRI7mx9VksGX4awWASxqCYLCV4wBZHAYxA==
-  optionalDependencies:
-    "@img/sharp-libvips-linux-arm64" "1.0.4"
-
-"@img/sharp-linux-arm@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linux-arm/-/sharp-linux-arm-0.33.5.tgz#422c1a352e7b5832842577dc51602bcd5b6f5eff"
-  integrity sha512-JTS1eldqZbJxjvKaAkxhZmBqPRGmxgu+qFKSInv8moZ2AmT5Yib3EQ1c6gp493HvrvV8QgdOXdyaIBrhvFhBMQ==
-  optionalDependencies:
-    "@img/sharp-libvips-linux-arm" "1.0.5"
-
-"@img/sharp-linux-s390x@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linux-s390x/-/sharp-linux-s390x-0.33.5.tgz#f5c077926b48e97e4a04d004dfaf175972059667"
-  integrity sha512-y/5PCd+mP4CA/sPDKl2961b+C9d+vPAveS33s6Z3zfASk2j5upL6fXVPZi7ztePZ5CuH+1kW8JtvxgbuXHRa4Q==
-  optionalDependencies:
-    "@img/sharp-libvips-linux-s390x" "1.0.4"
-
-"@img/sharp-linux-x64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linux-x64/-/sharp-linux-x64-0.33.5.tgz#d806e0afd71ae6775cc87f0da8f2d03a7c2209cb"
-  integrity sha512-opC+Ok5pRNAzuvq1AG0ar+1owsu842/Ab+4qvU879ippJBHvyY5n2mxF1izXqkPYlGuP/M556uh53jRLJmzTWA==
-  optionalDependencies:
-    "@img/sharp-libvips-linux-x64" "1.0.4"
-
-"@img/sharp-linuxmusl-arm64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linuxmusl-arm64/-/sharp-linuxmusl-arm64-0.33.5.tgz#252975b915894fb315af5deea174651e208d3d6b"
-  integrity sha512-XrHMZwGQGvJg2V/oRSUfSAfjfPxO+4DkiRh6p2AFjLQztWUuY/o8Mq0eMQVIY7HJ1CDQUJlxGGZRw1a5bqmd1g==
-  optionalDependencies:
-    "@img/sharp-libvips-linuxmusl-arm64" "1.0.4"
-
-"@img/sharp-linuxmusl-x64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-linuxmusl-x64/-/sharp-linuxmusl-x64-0.33.5.tgz#3f4609ac5d8ef8ec7dadee80b560961a60fd4f48"
-  integrity sha512-WT+d/cgqKkkKySYmqoZ8y3pxx7lx9vVejxW/W4DOFMYVSkErR+w7mf2u8m/y4+xHe7yY9DAXQMWQhpnMuFfScw==
-  optionalDependencies:
-    "@img/sharp-libvips-linuxmusl-x64" "1.0.4"
-
-"@img/sharp-wasm32@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-wasm32/-/sharp-wasm32-0.33.5.tgz#6f44f3283069d935bb5ca5813153572f3e6f61a1"
-  integrity sha512-ykUW4LVGaMcU9lu9thv85CbRMAwfeadCJHRsg2GmeRa/cJxsVY9Rbd57JcMxBkKHag5U/x7TSBpScF4U8ElVzg==
+"@isaacs/cliui@^8.0.2":
+  version "8.0.2"
+  resolved "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz"
+  integrity sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==
   dependencies:
-    "@emnapi/runtime" "^1.2.0"
-
-"@img/sharp-win32-ia32@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-win32-ia32/-/sharp-win32-ia32-0.33.5.tgz#1a0c839a40c5351e9885628c85f2e5dfd02b52a9"
-  integrity sha512-T36PblLaTwuVJ/zw/LaH0PdZkRz5rd3SmMHX8GSmR7vtNSP5Z6bQkExdSK7xGWyxLw4sUknBuugTelgw2faBbQ==
-
-"@img/sharp-win32-x64@0.33.5":
-  version "0.33.5"
-  resolved "https://registry.yarnpkg.com/@img/sharp-win32-x64/-/sharp-win32-x64-0.33.5.tgz#56f00962ff0c4e0eb93d34a047d29fa995e3e342"
-  integrity sha512-MpY/o8/8kj+EcnxwvrP4aTJSWw/aZ7JIGR4aBeZkZw5B7/Jn+tY9/VNwtcoGmdT7GfggGIU4kygOMSbYnOrAbg==
+    string-width "^5.1.2"
+    string-width-cjs "npm:string-width@^4.2.0"
+    strip-ansi "^7.0.1"
+    strip-ansi-cjs "npm:strip-ansi@^6.0.1"
+    wrap-ansi "^8.1.0"
+    wrap-ansi-cjs "npm:wrap-ansi@^7.0.0"
 
 "@istanbuljs/load-nyc-config@^1.0.0":
   version "1.1.0"
@@ -1767,14 +1739,6 @@
   resolved "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.0.tgz"
   integrity sha512-gv3ZRaISU3fjPAgNsriBRqGWQL6quFx04YMPW/zD8XMLsU32mhCCbfbO6KZFLjvYpCZ8zyDEgqsgf+PwPaM7GQ==
 
-"@jridgewell/trace-mapping@0.3.9":
-  version "0.3.9"
-  resolved "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz"
-  integrity sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==
-  dependencies:
-    "@jridgewell/resolve-uri" "^3.0.3"
-    "@jridgewell/sourcemap-codec" "^1.4.10"
-
 "@jridgewell/trace-mapping@^0.3.12", "@jridgewell/trace-mapping@^0.3.18", "@jridgewell/trace-mapping@^0.3.20", "@jridgewell/trace-mapping@^0.3.24", "@jridgewell/trace-mapping@^0.3.25", "@jridgewell/trace-mapping@^0.3.9":
   version "0.3.25"
   resolved "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz"
@@ -1783,262 +1747,256 @@
     "@jridgewell/resolve-uri" "^3.1.0"
     "@jridgewell/sourcemap-codec" "^1.4.14"
 
-"@lexical/clipboard@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/clipboard/-/clipboard-0.16.1.tgz"
-  integrity sha512-0dWs/SwKS5KPpuf6fUVVt9vSCl6HAqcDGhSITw/okv0rrIlXTUT6WhVsMJtXfFxTyVvwMeOecJHvQH3i/jRQtA==
+"@jridgewell/trace-mapping@0.3.9":
+  version "0.3.9"
+  resolved "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz"
+  integrity sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==
   dependencies:
-    "@lexical/html" "0.16.1"
-    "@lexical/list" "0.16.1"
-    "@lexical/selection" "0.16.1"
-    "@lexical/utils" "0.16.1"
-    lexical "0.16.1"
+    "@jridgewell/resolve-uri" "^3.0.3"
+    "@jridgewell/sourcemap-codec" "^1.4.10"
 
-"@lexical/code@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/code/-/code-0.16.1.tgz"
-  integrity sha512-pOC28rRZ2XkmI2nIJm50DbKaCJtk5D0o7r6nORYp4i0z+lxt5Sf2m82DL9ksUHJRqKy87pwJDpoWvJ2SAI0ohw==
+"@lexical/clipboard@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/clipboard/-/clipboard-0.18.0.tgz"
+  integrity sha512-ybc+hx14wj0n2ZjdOkLcZ02MRB3UprXjpLDXlByFIuVcZpUxVcp3NzA0UBPOKXYKvdt0bmgjnAsFWM5OSbwS0w==
   dependencies:
-    "@lexical/utils" "0.16.1"
-    lexical "0.16.1"
+    "@lexical/html" "0.18.0"
+    "@lexical/list" "0.18.0"
+    "@lexical/selection" "0.18.0"
+    "@lexical/utils" "0.18.0"
+    lexical "0.18.0"
+
+"@lexical/code@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/code/-/code-0.18.0.tgz"
+  integrity sha512-VB8fRHIrB8QTqyZUvGBMVWP2tpKe3ArOjPdWAqgrS8MVFldqUhuTHcW+XJFkVxcEBYCXynNT29YRYtQhfQ+vDQ==
+  dependencies:
+    "@lexical/utils" "0.18.0"
+    lexical "0.18.0"
     prismjs "^1.27.0"
 
-"@lexical/devtools-core@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/devtools-core/-/devtools-core-0.16.1.tgz"
-  integrity sha512-8CvGERGL7ySDVGLU+YPeq+JupIXsOFlXa3EuJ88koLKqXxYenwMleZgGqayFp6lCP78xqPKnATVeoOZUt/NabQ==
+"@lexical/devtools-core@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/devtools-core/-/devtools-core-0.18.0.tgz"
+  integrity sha512-gVgtEkLwGjz1frOmDpFJzDPFxPgAcC9n5ZaaZWHo5GLcptnQmkuLm1t+UInQWujXhFmcyJzfiqDaMJ8EIcb2Ww==
   dependencies:
-    "@lexical/html" "0.16.1"
-    "@lexical/link" "0.16.1"
-    "@lexical/mark" "0.16.1"
-    "@lexical/table" "0.16.1"
-    "@lexical/utils" "0.16.1"
-    lexical "0.16.1"
+    "@lexical/html" "0.18.0"
+    "@lexical/link" "0.18.0"
+    "@lexical/mark" "0.18.0"
+    "@lexical/table" "0.18.0"
+    "@lexical/utils" "0.18.0"
+    lexical "0.18.0"
 
-"@lexical/dragon@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/dragon/-/dragon-0.16.1.tgz"
-  integrity sha512-Rvd60GIYN5kpjjBumS34EnNbBaNsoseI0AlzOdtIV302jiHPCLH0noe9kxzu9nZy+MZmjZy8Dx2zTbQT2mueRw==
+"@lexical/dragon@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/dragon/-/dragon-0.18.0.tgz"
+  integrity sha512-toD/y2/TgtG+eFVKXf65kDk/Mv02FwgmcGH18nyAabZnO1TLBaMYPkGFdTTZ8hVmQxqIu9nZuLWUbdIBMs8UWw==
   dependencies:
-    lexical "0.16.1"
+    lexical "0.18.0"
 
-"@lexical/hashtag@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/hashtag/-/hashtag-0.16.1.tgz"
-  integrity sha512-G+YOxStAKs3q1utqm9KR4D4lCkwIH52Rctm4RgaVTI+4lvTaybeDRGFV75P/pI/qlF7/FvAYHTYEzCjtC3GNMQ==
+"@lexical/hashtag@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/hashtag/-/hashtag-0.18.0.tgz"
+  integrity sha512-bm+Sv7keguVYbUY0ngd+iAv2Owd3dePzdVkzkmw9Al8GPXkE5ll8fjq6Xjw2u3OVhf+9pTnesIo/AS7H+h0exw==
   dependencies:
-    "@lexical/utils" "0.16.1"
-    lexical "0.16.1"
+    "@lexical/utils" "0.18.0"
+    lexical "0.18.0"
 
-"@lexical/history@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/history/-/history-0.16.1.tgz"
-  integrity sha512-WQhScx0TJeKSQAnEkRpIaWdUXqirrNrom2MxbBUc/32zEUMm9FzV7nRGknvUabEFUo7vZq6xTZpOExQJqHInQA==
+"@lexical/history@0.18.0":
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/@lexical/history/-/history-0.18.0.tgz"
+  integrity sha512-c87J4ke1Sae03coElJay2Ikac/4OcA2OmhtNbt2gAi/XBtcsP4mPuz1yZfZf9XIe+weekObgjinvZekQ2AFw0g==
   dependencies:
-    "@lexical/utils" "0.16.1"
-    lexical "0.16.1"
+    "@lexical/utils" "0.18.0"
+    lexical "0.18.0"
 
-"@lexical/html@0.16.1":
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/@lexical/html/-/html-0.16.1.tgz"
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-    "@lexical/utils" "0.16.1"
-    "@lexical/yjs" "0.16.1"
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+    "@lexical/code" "0.18.0"
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-    lexical "0.16.1"
+    "@lexical/offset" "0.18.0"
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+    lexical "0.18.0"
 
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+  resolved "https://registry.npmjs.org/@mdx-js/loader/-/loader-3.1.0.tgz"
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-  dependencies:
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     source-map "^0.7.0"
 
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     "@types/estree-jsx" "^1.0.0"
+    "@types/hast" "^3.0.0"
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-    estree-util-is-identifier-name "^2.0.0"
-    estree-util-to-js "^1.1.0"
+    collapse-white-space "^2.0.0"
+    devlop "^1.0.0"
+    estree-util-is-identifier-name "^3.0.0"
+    estree-util-scope "^1.0.0"
     estree-walker "^3.0.0"
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-    unist-util-stringify-position "^3.0.0"
-    unist-util-visit "^4.0.0"
-    vfile "^5.0.0"
+    hast-util-to-jsx-runtime "^2.0.0"
+    markdown-extensions "^2.0.0"
+    recma-build-jsx "^1.0.0"
+    recma-jsx "^1.0.0"
+    recma-stringify "^1.0.0"
+    rehype-recma "^1.0.0"
+    remark-mdx "^3.0.0"
+    remark-parse "^11.0.0"
+    remark-rehype "^11.0.0"
+    source-map "^0.7.0"
+    unified "^11.0.0"
+    unist-util-position-from-estree "^2.0.0"
+    unist-util-stringify-position "^4.0.0"
+    unist-util-visit "^5.0.0"
+    vfile "^6.0.0"
 
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-  resolved "https://registry.npmjs.org/@mdx-js/react/-/react-2.3.0.tgz"
-  integrity sha512-zQH//gdOmuu7nt2oJR29vFhDv88oGPmVw6BggmrHeMI+xgEkp1B2dX9/bMBSYtK0dyLX/aOmesKS09g222K1/g==
-  dependencies:
-    "@types/mdx" "^2.0.0"
-    "@types/react" ">=16"
-
-"@mdx-js/react@^3.0.0":
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-  resolved "https://registry.npmjs.org/@next/eslint-plugin-next/-/eslint-plugin-next-14.0.4.tgz"
-  integrity sha512-U3qMNHmEZoVmHA0j/57nRfi3AscXNvkOnxDmle/69Jz/G0o/gWjXTDdlgILZdrxQ0Lw/jv2mPW8PGy0EGIHXhQ==
+"@next/eslint-plugin-next@15.1.2":
+  version "15.1.2"
+  resolved "https://registry.npmjs.org/@next/eslint-plugin-next/-/eslint-plugin-next-15.1.2.tgz"
+  integrity sha512-sgfw3+WdaYOGPKCvM1L+UucBmRfh8V2Ygefp7ELON0+0vY7uohQwXXnVWg3rY7mXDKharQR3o7uedpfvnU2hlQ==
   dependencies:
-    glob "7.1.7"
+    fast-glob "3.3.1"
 
 "@next/mdx@^14.0.4":
   version "14.0.4"
@@ -2090,46 +2048,6 @@
   resolved "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-14.2.17.tgz"
   integrity sha512-WiOf5nElPknrhRMTipXYTJcUz7+8IAjOYw3vXzj3BYRcVY0hRHKWgTgQ5439EvzQyHEko77XK+yN9x9OJ0oOog==
 
-"@next/swc-darwin-x64@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-darwin-x64/-/swc-darwin-x64-14.2.17.tgz#e29a17ef28d97c347c7d021f391e13b6c8e4c813"
-  integrity sha512-29y425wYnL17cvtxrDQWC3CkXe/oRrdt8ie61S03VrpwpPRI0XsnTvtKO06XCisK4alaMnZlf8riwZIbJTaSHQ==
-
-"@next/swc-linux-arm64-gnu@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-14.2.17.tgz#10e99c7aa60cc33f8b7633e045f74be9a43e7b0c"
-  integrity sha512-SSHLZls3ZwNEHsc+d0ynKS+7Af0Nr8+KTUBAy9pm6xz9SHkJ/TeuEg6W3cbbcMSh6j4ITvrjv3Oi8n27VR+IPw==
-
-"@next/swc-linux-arm64-musl@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-14.2.17.tgz#9a5bb809d3c6aef96c409959aedae28b4e5db53d"
-  integrity sha512-VFge37us5LNPatB4F7iYeuGs9Dprqe4ZkW7lOEJM91r+Wf8EIdViWHLpIwfdDXinvCdLl6b4VyLpEBwpkctJHA==
-
-"@next/swc-linux-x64-gnu@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-14.2.17.tgz#64e0ce01870e6dc45ae48f676d7cce82aedcdc62"
-  integrity sha512-aaQlpxUVb9RZ41adlTYVQ3xvYEfBPUC8+6rDgmQ/0l7SvK8S1YNJzPmDPX6a4t0jLtIoNk7j+nroS/pB4nx7vQ==
-
-"@next/swc-linux-x64-musl@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-14.2.17.tgz#93114164b6ccfc533908193ab9065f0c3970abc3"
-  integrity sha512-HSyEiFaEY3ay5iATDqEup5WAfrhMATNJm8dYx3ZxL+e9eKv10XKZCwtZByDoLST7CyBmyDz+OFJL1wigyXeaoA==
-
-"@next/swc-win32-arm64-msvc@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-14.2.17.tgz#4b99dea02178c112e5c33c742f9ff2a49b3b2939"
-  integrity sha512-h5qM9Btqv87eYH8ArrnLoAHLyi79oPTP2vlGNSg4CDvUiXgi7l0+5KuEGp5pJoMhjuv9ChRdm7mRlUUACeBt4w==
-
-"@next/swc-win32-ia32-msvc@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.2.17.tgz#f1c23955405a259b6d45c65f918575b01bcf0106"
-  integrity sha512-BD/G++GKSLexQjdyoEUgyo5nClU7er5rK0sE+HlEqnldJSm96CIr/+YOTT063LVTT/dUOeQsNgp5DXr86/K7/A==
-
-"@next/swc-win32-x64-msvc@14.2.17":
-  version "14.2.17"
-  resolved "https://registry.yarnpkg.com/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-14.2.17.tgz#44f5a4fcd8df1396a8d4326510ca2d92fb809cb3"
-  integrity sha512-vkQfN1+4V4KqDibkW2q0sJ6CxQuXq5l2ma3z0BRcfIqkAMZiiW67T9yCpwqJKP68QghBtPEFjPAlaqe38O6frw==
-
 "@nodelib/fs.scandir@2.1.5":
   version "2.1.5"
   resolved "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz"
@@ -2138,12 +2056,12 @@
     "@nodelib/fs.stat" "2.0.5"
     run-parallel "^1.1.9"
 
-"@nodelib/fs.stat@2.0.5", "@nodelib/fs.stat@^2.0.2":
+"@nodelib/fs.stat@^2.0.2", "@nodelib/fs.stat@2.0.5":
   version "2.0.5"
   resolved "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz"
   integrity sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==
 
-"@nodelib/fs.walk@^1.2.3", "@nodelib/fs.walk@^1.2.8":
+"@nodelib/fs.walk@^1.2.3":
   version "1.2.8"
   resolved "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz"
   integrity sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==
@@ -2151,6 +2069,109 @@
     "@nodelib/fs.scandir" "2.1.5"
     fastq "^1.6.0"
 
+"@octokit/auth-token@^5.0.0":
+  version "5.1.1"
+  resolved "https://registry.npmjs.org/@octokit/auth-token/-/auth-token-5.1.1.tgz"
+  integrity sha512-rh3G3wDO8J9wSjfI436JUKzHIxq8NaiL0tVeB2aXmG6p/9859aUOAjA9pmSPNGGZxfwmaJ9ozOJImuNVJdpvbA==
+
+"@octokit/core@^6.1.2":
+  version "6.1.2"
+  resolved "https://registry.npmjs.org/@octokit/core/-/core-6.1.2.tgz"
+  integrity sha512-hEb7Ma4cGJGEUNOAVmyfdB/3WirWMg5hDuNFVejGEDFqupeOysLc2sG6HJxY2etBp5YQu5Wtxwi020jS9xlUwg==
+  dependencies:
+    "@octokit/auth-token" "^5.0.0"
+    "@octokit/graphql" "^8.0.0"
+    "@octokit/request" "^9.0.0"
+    "@octokit/request-error" "^6.0.1"
+    "@octokit/types" "^13.0.0"
+    before-after-hook "^3.0.2"
+    universal-user-agent "^7.0.0"
+
+"@octokit/endpoint@^10.0.0":
+  version "10.1.1"
+  resolved "https://registry.npmjs.org/@octokit/endpoint/-/endpoint-10.1.1.tgz"
+  integrity sha512-JYjh5rMOwXMJyUpj028cu0Gbp7qe/ihxfJMLc8VZBMMqSwLgOxDI1911gV4Enl1QSavAQNJcwmwBF9M0VvLh6Q==
+  dependencies:
+    "@octokit/types" "^13.0.0"
+    universal-user-agent "^7.0.2"
+
+"@octokit/graphql@^8.0.0":
+  version "8.1.1"
+  resolved "https://registry.npmjs.org/@octokit/graphql/-/graphql-8.1.1.tgz"
+  integrity sha512-ukiRmuHTi6ebQx/HFRCXKbDlOh/7xEV6QUXaE7MJEKGNAncGI/STSbOkl12qVXZrfZdpXctx5O9X1AIaebiDBg==
+  dependencies:
+    "@octokit/request" "^9.0.0"
+    "@octokit/types" "^13.0.0"
+    universal-user-agent "^7.0.0"
+
+"@octokit/openapi-types@^22.2.0":
+  version "22.2.0"
+  resolved "https://registry.npmjs.org/@octokit/openapi-types/-/openapi-types-22.2.0.tgz"
+  integrity sha512-QBhVjcUa9W7Wwhm6DBFu6ZZ+1/t/oYxqc2tp81Pi41YNuJinbFRx8B133qVOrAaBbF7D/m0Et6f9/pZt9Rc+tg==
+
+"@octokit/request-error@^6.0.1", "@octokit/request-error@^6.1.5":
+  version "6.1.5"
+  resolved "https://registry.npmjs.org/@octokit/request-error/-/request-error-6.1.5.tgz"
+  integrity sha512-IlBTfGX8Yn/oFPMwSfvugfncK2EwRLjzbrpifNaMY8o/HTEAFqCA1FZxjD9cWvSKBHgrIhc4CSBIzMxiLsbzFQ==
+  dependencies:
+    "@octokit/types" "^13.0.0"
+
+"@octokit/request@^9.0.0":
+  version "9.1.3"
+  resolved "https://registry.npmjs.org/@octokit/request/-/request-9.1.3.tgz"
+  integrity sha512-V+TFhu5fdF3K58rs1pGUJIDH5RZLbZm5BI+MNF+6o/ssFNT4vWlCh/tVpF3NxGtP15HUxTTMUbsG5llAuU2CZA==
+  dependencies:
+    "@octokit/endpoint" "^10.0.0"
+    "@octokit/request-error" "^6.0.1"
+    "@octokit/types" "^13.1.0"
+    universal-user-agent "^7.0.2"
+
+"@octokit/types@^13.0.0", "@octokit/types@^13.1.0":
+  version "13.6.2"
+  resolved "https://registry.npmjs.org/@octokit/types/-/types-13.6.2.tgz"
+  integrity sha512-WpbZfZUcZU77DrSW4wbsSgTPfKcp286q3ItaIgvSbBpZJlu6mnYXAkjZz6LVZPXkEvLIM8McanyZejKTYUHipA==
+  dependencies:
+    "@octokit/openapi-types" "^22.2.0"
+
+"@parcel/watcher-darwin-arm64@2.5.0":
+  version "2.5.0"
+  resolved "https://registry.npmjs.org/@parcel/watcher-darwin-arm64/-/watcher-darwin-arm64-2.5.0.tgz"
+  integrity sha512-hyZ3TANnzGfLpRA2s/4U1kbw2ZI4qGxaRJbBH2DCSREFfubMswheh8TeiC1sGZ3z2jUf3s37P0BBlrD3sjVTUw==
+
+"@parcel/watcher@^2.4.1":
+  version "2.5.0"
+  resolved "https://registry.npmjs.org/@parcel/watcher/-/watcher-2.5.0.tgz"
+  integrity sha512-i0GV1yJnm2n3Yq1qw6QrUrd/LI9bE8WEBOTtOkpCXHHdyN3TAGgqAK/DAT05z4fq2x04cARXt2pDmjWjL92iTQ==
+  dependencies:
+    detect-libc "^1.0.3"
+    is-glob "^4.0.3"
+    micromatch "^4.0.5"
+    node-addon-api "^7.0.0"
+  optionalDependencies:
+    "@parcel/watcher-android-arm64" "2.5.0"
+    "@parcel/watcher-darwin-arm64" "2.5.0"
+    "@parcel/watcher-darwin-x64" "2.5.0"
+    "@parcel/watcher-freebsd-x64" "2.5.0"
+    "@parcel/watcher-linux-arm-glibc" "2.5.0"
+    "@parcel/watcher-linux-arm-musl" "2.5.0"
+    "@parcel/watcher-linux-arm64-glibc" "2.5.0"
+    "@parcel/watcher-linux-arm64-musl" "2.5.0"
+    "@parcel/watcher-linux-x64-glibc" "2.5.0"
+    "@parcel/watcher-linux-x64-musl" "2.5.0"
+    "@parcel/watcher-win32-arm64" "2.5.0"
+    "@parcel/watcher-win32-ia32" "2.5.0"
+    "@parcel/watcher-win32-x64" "2.5.0"
+
+"@pkgjs/parseargs@^0.11.0":
+  version "0.11.0"
+  resolved "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz"
+  integrity sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==
+
+"@pkgr/core@^0.1.0":
+  version "0.1.1"
+  resolved "https://registry.npmjs.org/@pkgr/core/-/core-0.1.1.tgz"
+  integrity sha512-cq8o4cWH0ibXh9VGi5P20Tu9XF/0fFXl9EUinr9QfTM7a7p0oTA4iJRCQWppXR1Pg8dSM0UCItCkPwsk9qWWYA==
+
 "@pkgr/utils@^2.3.1":
   version "2.4.1"
   resolved "https://registry.npmjs.org/@pkgr/utils/-/utils-2.4.1.tgz"
@@ -2244,7 +2265,7 @@
 
 "@remixicon/react@^4.5.0":
   version "4.5.0"
-  resolved "https://registry.yarnpkg.com/@remixicon/react/-/react-4.5.0.tgz#5600d122ee4995bff2c4442cb056eeb4f11ecb5a"
+  resolved "https://registry.npmjs.org/@remixicon/react/-/react-4.5.0.tgz"
   integrity sha512-Xr20SxMpRNlgXZnoF5BCMyZuQEhXY3yJCyms8kxB/vJCCiV1nWdiO48XqRG5LBd1192iSHC4m658AIWi6rmBFg==
 
 "@rgrove/parse-xml@^4.1.0":
@@ -2252,10 +2273,15 @@
   resolved "https://registry.npmjs.org/@rgrove/parse-xml/-/parse-xml-4.1.0.tgz"
   integrity sha512-pBiltENdy8SfI0AeR1e5TRpS9/9Gl0eiOEt6ful2jQfzsgvZYWqsKiBWaOCLdocQuk0wS7KOHI37n0C1pnKqTw==
 
-"@rushstack/eslint-patch@^1.3.3":
-  version "1.6.1"
-  resolved "https://registry.npmjs.org/@rushstack/eslint-patch/-/eslint-patch-1.6.1.tgz"
-  integrity sha512-UY+FGM/2jjMkzQLn8pxcHGMaVLh9aEitG3zY2CiY7XHdLiz3bZOwa6oDxNqEMv7zZkV+cj5DOdz0cQ1BP5Hjgw==
+"@rtsao/scc@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/@rtsao/scc/-/scc-1.1.0.tgz"
+  integrity sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g==
+
+"@rushstack/eslint-patch@^1.10.3":
+  version "1.10.4"
+  resolved "https://registry.npmjs.org/@rushstack/eslint-patch/-/eslint-patch-1.10.4.tgz"
+  integrity sha512-WJgX9nzTqknM393q1QJDJmoW28kUfEnybeTfVNcNAPnIx210RXm2DiXiHzfNPJNIUUb1tJnz/l4QGtJ30PgWmA==
 
 "@sentry-internal/feedback@7.120.1":
   version "7.120.1"
@@ -2343,7 +2369,7 @@
   resolved "https://registry.npmjs.org/@sentry/types/-/types-7.120.1.tgz"
   integrity sha512-f/WT7YUH8SA2Jhez/hYz/dA351AJqr1Eht/URUdYsqMFecXr/blAcNKRVFccSsvQeTqWVV9HVQ9BXUSjPJOvFA==
 
-"@sentry/utils@7.120.1", "@sentry/utils@^7.54.0":
+"@sentry/utils@^7.54.0", "@sentry/utils@7.120.1":
   version "7.120.1"
   resolved "https://registry.npmjs.org/@sentry/utils/-/utils-7.120.1.tgz"
   integrity sha512-4boeo5Y3zw3gFrWZmPHsYOIlTh//eBaGBgWL25FqLbLObO23gFE86G6O6knP1Gamm1DGX2IWH7w4MChYuBm6tA==
@@ -2374,10 +2400,10 @@
   dependencies:
     "@sinonjs/commons" "^3.0.0"
 
-"@storybook/addon-actions@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-actions/-/addon-actions-8.4.2.tgz"
-  integrity sha512-+hA200XN5aeA4T3jq8IifQq6Y+9FyNQ0Q+blM1L0Tl7WLzBc7B1kHQnKvhSj5pvMSBWc/Q/kY7Ev5t9gdOu13g==
+"@storybook/addon-actions@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-actions/-/addon-actions-8.4.7.tgz"
+  integrity sha512-mjtD5JxcPuW74T6h7nqMxWTvDneFtokg88p6kQ5OnC1M259iAXb//yiSZgu/quunMHPCXSiqn4FNOSgASTSbsA==
   dependencies:
     "@storybook/global" "^5.0.0"
     "@types/uuid" "^9.0.1"
@@ -2385,137 +2411,137 @@
     polished "^4.2.2"
     uuid "^9.0.0"
 
-"@storybook/addon-backgrounds@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-backgrounds/-/addon-backgrounds-8.4.2.tgz"
-  integrity sha512-s4uag5VKuk8q2MSnuNS7Sv+v1/mykzGPXe/zZRW2ammtkdHp8Uy78eQS2G0aiG02chXCX+qQgWMyy5QItDcTFQ==
+"@storybook/addon-backgrounds@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-backgrounds/-/addon-backgrounds-8.4.7.tgz"
+  integrity sha512-I4/aErqtFiazcoWyKafOAm3bLpxTj6eQuH/woSbk1Yx+EzN+Dbrgx1Updy8//bsNtKkcrXETITreqHC+a57DHQ==
   dependencies:
     "@storybook/global" "^5.0.0"
     memoizerific "^1.11.3"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-controls@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-controls/-/addon-controls-8.4.2.tgz"
-  integrity sha512-raCbHEj1xl4F3wKH6IdfEXNRaxKpY4QGhjSTE8Pte5iJSVhKG86taLqqRr+4dC7H1/LVMPU1XCGV4mkgDGtyxQ==
+"@storybook/addon-controls@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-controls/-/addon-controls-8.4.7.tgz"
+  integrity sha512-377uo5IsJgXLnQLJixa47+11V+7Wn9KcDEw+96aGCBCfLbWNH8S08tJHHnSu+jXg9zoqCAC23MetntVp6LetHA==
   dependencies:
     "@storybook/global" "^5.0.0"
     dequal "^2.0.2"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-docs@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-docs/-/addon-docs-8.4.2.tgz"
-  integrity sha512-jIpykha7hv2Inlrq31ZoYg2QhuCuvcO+Q+uvhT45RDTB+2US/fg3rJINKlw2Djq8RPPOXvty5W0yvE6CrWKhnQ==
+"@storybook/addon-docs@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-docs/-/addon-docs-8.4.7.tgz"
+  integrity sha512-NwWaiTDT5puCBSUOVuf6ME7Zsbwz7Y79WF5tMZBx/sLQ60vpmJVQsap6NSjvK1Ravhc21EsIXqemAcBjAWu80w==
   dependencies:
     "@mdx-js/react" "^3.0.0"
-    "@storybook/blocks" "8.4.2"
-    "@storybook/csf-plugin" "8.4.2"
-    "@storybook/react-dom-shim" "8.4.2"
+    "@storybook/blocks" "8.4.7"
+    "@storybook/csf-plugin" "8.4.7"
+    "@storybook/react-dom-shim" "8.4.7"
     react "^16.8.0 || ^17.0.0 || ^18.0.0"
     react-dom "^16.8.0 || ^17.0.0 || ^18.0.0"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-essentials@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-essentials/-/addon-essentials-8.4.2.tgz"
-  integrity sha512-+/vfPrXM/GWU3Kbrg92PepwAZr7lOeulTTYF4THK0CL3DfUUlkGNpBPLP5PtjCuIkVrTCjXiIEdVWk47d5m2+w==
+"@storybook/addon-essentials@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-essentials/-/addon-essentials-8.4.7.tgz"
+  integrity sha512-+BtZHCBrYtQKILtejKxh0CDRGIgTl9PumfBOKRaihYb4FX1IjSAxoV/oo/IfEjlkF5f87vouShWsRa8EUauFDw==
   dependencies:
-    "@storybook/addon-actions" "8.4.2"
-    "@storybook/addon-backgrounds" "8.4.2"
-    "@storybook/addon-controls" "8.4.2"
-    "@storybook/addon-docs" "8.4.2"
-    "@storybook/addon-highlight" "8.4.2"
-    "@storybook/addon-measure" "8.4.2"
-    "@storybook/addon-outline" "8.4.2"
-    "@storybook/addon-toolbars" "8.4.2"
-    "@storybook/addon-viewport" "8.4.2"
+    "@storybook/addon-actions" "8.4.7"
+    "@storybook/addon-backgrounds" "8.4.7"
+    "@storybook/addon-controls" "8.4.7"
+    "@storybook/addon-docs" "8.4.7"
+    "@storybook/addon-highlight" "8.4.7"
+    "@storybook/addon-measure" "8.4.7"
+    "@storybook/addon-outline" "8.4.7"
+    "@storybook/addon-toolbars" "8.4.7"
+    "@storybook/addon-viewport" "8.4.7"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-highlight@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-highlight/-/addon-highlight-8.4.2.tgz"
-  integrity sha512-vTtwp7nyJ09SXrsMnH+pukCjHjRMjQXgHZHxvbrv09uoH8ldQMv9B7u+X+9Wcy/jYSKFz/ng7pWo4b4a2oXHkg==
+"@storybook/addon-highlight@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-highlight/-/addon-highlight-8.4.7.tgz"
+  integrity sha512-whQIDBd3PfVwcUCrRXvCUHWClXe9mQ7XkTPCdPo4B/tZ6Z9c6zD8JUHT76ddyHivixFLowMnA8PxMU6kCMAiNw==
   dependencies:
     "@storybook/global" "^5.0.0"
 
-"@storybook/addon-interactions@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-interactions/-/addon-interactions-8.4.2.tgz"
-  integrity sha512-+/NTENTApeOcONgFNQ6Olbk0GH3pTDG3w0eh00slCB+2agD1BcVKg8SSlHQV0lQF1cK3vWL/X3jeaxdFLYOjjg==
+"@storybook/addon-interactions@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-interactions/-/addon-interactions-8.4.7.tgz"
+  integrity sha512-fnufT3ym8ht3HHUIRVXAH47iOJW/QOb0VSM+j269gDuvyDcY03D1civCu1v+eZLGaXPKJ8vtjr0L8zKQ/4P0JQ==
   dependencies:
     "@storybook/global" "^5.0.0"
-    "@storybook/instrumenter" "8.4.2"
-    "@storybook/test" "8.4.2"
+    "@storybook/instrumenter" "8.4.7"
+    "@storybook/test" "8.4.7"
     polished "^4.2.2"
     ts-dedent "^2.2.0"
 
-"@storybook/addon-links@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-links/-/addon-links-8.4.2.tgz"
-  integrity sha512-8nncReA/drR2cyAcUz484FIv+MXbyCQxYrA6yfWHthZfGu+vMIETvhh+eP4OpluVnxySoQ+hCVK/V8G2jcyAZg==
+"@storybook/addon-links@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-links/-/addon-links-8.4.7.tgz"
+  integrity sha512-L/1h4dMeMKF+MM0DanN24v5p3faNYbbtOApMgg7SlcBT/tgo3+cAjkgmNpYA8XtKnDezm+T2mTDhB8mmIRZpIQ==
   dependencies:
     "@storybook/csf" "^0.1.11"
     "@storybook/global" "^5.0.0"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-measure@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-measure/-/addon-measure-8.4.2.tgz"
-  integrity sha512-z+j6xQwcUBSpgzl1XDU+xU4YYgLraLMljECW7NvRNyJ/PYixvol8R3wtzWbr+CBpxmvbXjEJCPlF+EjF9/mBWQ==
+"@storybook/addon-measure@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-measure/-/addon-measure-8.4.7.tgz"
+  integrity sha512-QfvqYWDSI5F68mKvafEmZic3SMiK7zZM8VA0kTXx55hF/+vx61Mm0HccApUT96xCXIgmwQwDvn9gS4TkX81Dmw==
   dependencies:
     "@storybook/global" "^5.0.0"
     tiny-invariant "^1.3.1"
 
-"@storybook/addon-onboarding@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-onboarding/-/addon-onboarding-8.4.2.tgz"
-  integrity sha512-zWzOyRASnIPt2AcaEl1KhI+aOaKDuoIcNB7u1GoABj0YM+V9d6o3lvcsmOAQG5pgwgFyqyOnLwpTfvRSEyzGFA==
+"@storybook/addon-onboarding@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-onboarding/-/addon-onboarding-8.4.7.tgz"
+  integrity sha512-FdC2NV60VNYeMxf6DVe0qV9ucSBAzMh1//C0Qqwq8CcjthMbmKlVZ7DqbVsbIHKnFaSCaUC88eR5olAfMaauCQ==
   dependencies:
     react-confetti "^6.1.0"
 
-"@storybook/addon-outline@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-outline/-/addon-outline-8.4.2.tgz"
-  integrity sha512-oTMlPEyT4CBqzcQbfemoJzJ6yzeRAmvrAx9ssaBcnQQRsKxo0D2Ri/Jmm6SNcR0yBHxYRkvIH+2phLw8aiflCQ==
+"@storybook/addon-outline@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-outline/-/addon-outline-8.4.7.tgz"
+  integrity sha512-6LYRqUZxSodmAIl8icr585Oi8pmzbZ90aloZJIpve+dBAzo7ydYrSQxxoQEVltXbKf3VeVcrs64ouAYqjisMYA==
   dependencies:
     "@storybook/global" "^5.0.0"
     ts-dedent "^2.0.0"
 
-"@storybook/addon-themes@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-themes/-/addon-themes-8.4.2.tgz"
-  integrity sha512-SEeADvNxdkgfCEK4kxuV5w0ZFkdWQjJ3GySgLaXZM7FkEySfHyRIvkcoJml6Q0zJdChywVYNTRXonL0hmBlo7Q==
+"@storybook/addon-themes@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-themes/-/addon-themes-8.4.7.tgz"
+  integrity sha512-MZa3eWTz0b3BQvF71WqLqvEYzDtbMhQx1IIluWBMMGzJ4sWBzLX85LoNMUlHsNd4EhEmAZ1xQQFIJpDWTBx0nQ==
   dependencies:
     ts-dedent "^2.0.0"
 
-"@storybook/addon-toolbars@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-toolbars/-/addon-toolbars-8.4.2.tgz"
-  integrity sha512-DidzW/NQS224niMJIjcJI2ls83emqygUcS9GYNGgdc5Xwro/TPgGYOXP2qnXgYUxXQTHbrxmIbHdEehxC7CcYQ==
+"@storybook/addon-toolbars@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-toolbars/-/addon-toolbars-8.4.7.tgz"
+  integrity sha512-OSfdv5UZs+NdGB+nZmbafGUWimiweJ/56gShlw8Neo/4jOJl1R3rnRqqY7MYx8E4GwoX+i3GF5C3iWFNQqlDcw==
 
-"@storybook/addon-viewport@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/addon-viewport/-/addon-viewport-8.4.2.tgz"
-  integrity sha512-qVQ2UaxCNsUSFHnAAAizNPIJ/QwfMg7p5bBdpYROTZXJe+bxVp0rFzZmQgHZ3/sn+lzE4ItM4QEfxkfQUWi1ag==
+"@storybook/addon-viewport@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/addon-viewport/-/addon-viewport-8.4.7.tgz"
+  integrity sha512-hvczh/jjuXXcOogih09a663sRDDSATXwbE866al1DXgbDFraYD/LxX/QDb38W9hdjU9+Qhx8VFIcNWoMQns5HQ==
   dependencies:
     memoizerific "^1.11.3"
 
-"@storybook/blocks@8.4.2", "@storybook/blocks@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/blocks/-/blocks-8.4.2.tgz"
-  integrity sha512-yAAvmOWaD8gIrepOxCh/RxQqd/1xZIwd/V+gsvAhW/thawN+SpI+zK63gmcqAPLX84hJ3Dh5pegRk0SoHNuDVA==
+"@storybook/blocks@^8.3.6", "@storybook/blocks@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/blocks/-/blocks-8.4.7.tgz"
+  integrity sha512-+QH7+JwXXXIyP3fRCxz/7E2VZepAanXJM7G8nbR3wWsqWgrRp4Wra6MvybxAYCxU7aNfJX5c+RW84SNikFpcIA==
   dependencies:
     "@storybook/csf" "^0.1.11"
     "@storybook/icons" "^1.2.12"
     ts-dedent "^2.0.0"
 
-"@storybook/builder-webpack5@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/builder-webpack5/-/builder-webpack5-8.4.2.tgz"
-  integrity sha512-Pqa0/sqqEujzcvs+/Cwf/5qRLC+atmceROCFokMOgpIaorTXlbmiQdJ2dBhMFNugLvXfL7dVQBjBfiuzhsQ57g==
+"@storybook/builder-webpack5@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/builder-webpack5/-/builder-webpack5-8.4.7.tgz"
+  integrity sha512-O8LpsQ+4g2x5kh7rI9+jEUdX8k1a5egBQU1lbudmHchqsV0IKiVqBD9LL5Gj3wpit4vB8coSW4ZWTFBw8FQb4Q==
   dependencies:
-    "@storybook/core-webpack" "8.4.2"
+    "@storybook/core-webpack" "8.4.7"
     "@types/node" "^22.0.0"
     "@types/semver" "^7.3.4"
     browser-assert "^1.2.1"
@@ -2541,23 +2567,23 @@
     webpack-hot-middleware "^2.25.1"
     webpack-virtual-modules "^0.6.0"
 
-"@storybook/components@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/components/-/components-8.4.2.tgz"
-  integrity sha512-+W59oF7D73LAxLNmCfFrfs98cH9pyNHK9HlJoO5/lKbK4IdWhhOoqUR/AJ3ueksoLuetFat4DxyE8SN1H4Bvrg==
+"@storybook/components@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/components/-/components-8.4.7.tgz"
+  integrity sha512-uyJIcoyeMWKAvjrG9tJBUCKxr2WZk+PomgrgrUwejkIfXMO76i6jw9BwLa0NZjYdlthDv30r9FfbYZyeNPmF0g==
 
-"@storybook/core-webpack@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/core-webpack/-/core-webpack-8.4.2.tgz"
-  integrity sha512-bzGvzrLK/oDE9YlKayDEplcECURSa1oRkvV7rxI2sOTNfwuoxHJapvxFxazEKAHMVeSwfWDf4uKK0XeG2R/arA==
+"@storybook/core-webpack@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/core-webpack/-/core-webpack-8.4.7.tgz"
+  integrity sha512-Tj+CjQLpFyBJxhhMms+vbPT3+gTRAiQlrhY3L1IEVwBa3wtRMS0qjozH26d1hK4G6mUIEdwu13L54HMU/w33Sg==
   dependencies:
     "@types/node" "^22.0.0"
     ts-dedent "^2.0.0"
 
-"@storybook/core@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/core/-/core-8.4.2.tgz"
-  integrity sha512-hF8GWoUZTjwwuV5j4OLhMHZtZQL/NYcVUBReC2Ba06c8PkFIKqKZwATr1zKd301gQ5Qwcn9WgmZxJTMgdKQtOg==
+"@storybook/core@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/core/-/core-8.4.7.tgz"
+  integrity sha512-7Z8Z0A+1YnhrrSXoKKwFFI4gnsLbWzr8fnDCU6+6HlDukFYh8GHRcZ9zKfqmy6U3hw2h8H5DrHsxWfyaYUUOoA==
   dependencies:
     "@storybook/csf" "^0.1.11"
     better-opn "^3.0.2"
@@ -2571,20 +2597,13 @@
     util "^0.12.5"
     ws "^8.2.3"
 
-"@storybook/csf-plugin@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/csf-plugin/-/csf-plugin-8.4.2.tgz"
-  integrity sha512-1f0t6W5xbC1sSAHHs3uXYPIQs2NXAEtIGqn6X9i3xbbub6hDS8PF8BIm7dOjQ8dZOPp7d9ltR64V5CoLlsOigA==
+"@storybook/csf-plugin@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/csf-plugin/-/csf-plugin-8.4.7.tgz"
+  integrity sha512-Fgogplu4HImgC+AYDcdGm1rmL6OR1rVdNX1Be9C/NEXwOCpbbBwi0BxTf/2ZxHRk9fCeaPEcOdP5S8QHfltc1g==
   dependencies:
     unplugin "^1.3.1"
 
-"@storybook/csf@^0.0.1":
-  version "0.0.1"
-  resolved "https://registry.npmjs.org/@storybook/csf/-/csf-0.0.1.tgz"
-  integrity sha512-USTLkZze5gkel8MYCujSRBVIrUQ3YPBrLOx7GNk/0wttvVtlzWXAq9eLbQ4p/NicGxP+3T7KPEMVV//g+yubpw==
-  dependencies:
-    lodash "^4.17.15"
-
 "@storybook/csf@^0.1.11":
   version "0.1.11"
   resolved "https://registry.npmjs.org/@storybook/csf/-/csf-0.1.11.tgz"
@@ -2602,23 +2621,23 @@
   resolved "https://registry.npmjs.org/@storybook/icons/-/icons-1.2.12.tgz"
   integrity sha512-UxgyK5W3/UV4VrI3dl6ajGfHM4aOqMAkFLWe2KibeQudLf6NJpDrDMSHwZj+3iKC4jFU7dkKbbtH2h/al4sW3Q==
 
-"@storybook/instrumenter@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/instrumenter/-/instrumenter-8.4.2.tgz"
-  integrity sha512-gPYCZ/0O6gRLI3zmenu2N6QtKzxDZFdT2xf4RWcNUSZyp28RZkRCIgKFMt3fTmvE0yMzAjQyRSkBdrONjQ44HA==
+"@storybook/instrumenter@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/instrumenter/-/instrumenter-8.4.7.tgz"
+  integrity sha512-k6NSD3jaRCCHAFtqXZ7tw8jAzD/yTEWXGya+REgZqq5RCkmJ+9S4Ytp/6OhQMPtPFX23gAuJJzTQVLcCr+gjRg==
   dependencies:
     "@storybook/global" "^5.0.0"
     "@vitest/utils" "^2.1.1"
 
-"@storybook/manager-api@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/manager-api/-/manager-api-8.4.2.tgz"
-  integrity sha512-rhPc4cgQDKDH8NUyRh/ZaJW7QIhR/PO5MNX4xc+vz71sM2nO7ONA/FrgLtCuu4SULdwilEPvGefYvLK0dE+Caw==
+"@storybook/manager-api@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/manager-api/-/manager-api-8.4.7.tgz"
+  integrity sha512-ELqemTviCxAsZ5tqUz39sDmQkvhVAvAgiplYy9Uf15kO0SP2+HKsCMzlrm2ue2FfkUNyqbDayCPPCB0Cdn/mpQ==
 
-"@storybook/nextjs@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/nextjs/-/nextjs-8.4.2.tgz"
-  integrity sha512-HySwS9zfenurk+O+SX9gKskotkHo8mFRBKAIlEROIWi7iipp5GCVPyqb8gFWjvN81dKfEIAZs+fB/7ySulJ4rg==
+"@storybook/nextjs@^8.3.6":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/nextjs/-/nextjs-8.4.7.tgz"
+  integrity sha512-6dVt6VKBndSqn91egZx2fWl44i1TnIggRgmnk5jyl2KHDRvXziFNa2ujBz1nveriAWmwRchhce0OLDx9zQ9b4w==
   dependencies:
     "@babel/core" "^7.24.4"
     "@babel/plugin-syntax-bigint" "^7.8.3"
@@ -2634,10 +2653,10 @@
     "@babel/preset-typescript" "^7.24.1"
     "@babel/runtime" "^7.24.4"
     "@pmmmwh/react-refresh-webpack-plugin" "^0.5.11"
-    "@storybook/builder-webpack5" "8.4.2"
-    "@storybook/preset-react-webpack" "8.4.2"
-    "@storybook/react" "8.4.2"
-    "@storybook/test" "8.4.2"
+    "@storybook/builder-webpack5" "8.4.7"
+    "@storybook/preset-react-webpack" "8.4.7"
+    "@storybook/react" "8.4.7"
+    "@storybook/test" "8.4.7"
     "@types/node" "^22.0.0"
     "@types/semver" "^7.3.4"
     babel-loader "^9.1.3"
@@ -2661,13 +2680,13 @@
   optionalDependencies:
     sharp "^0.33.3"
 
-"@storybook/preset-react-webpack@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/preset-react-webpack/-/preset-react-webpack-8.4.2.tgz"
-  integrity sha512-Gt9hQRo1ythGFzATNV4WgQDlMDzBgiq7ks+YkW2/Xu5ZkrRrM/gK75fhmbICrknZl2pPPfNFXlECPWKAeTmwFA==
+"@storybook/preset-react-webpack@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/preset-react-webpack/-/preset-react-webpack-8.4.7.tgz"
+  integrity sha512-geTSBKyrBagVihil5MF7LkVFynbfHhCinvnbCZZqXW7M1vgcxvatunUENB+iV8eWg/0EJ+8O7scZL+BAxQ/2qg==
   dependencies:
-    "@storybook/core-webpack" "8.4.2"
-    "@storybook/react" "8.4.2"
+    "@storybook/core-webpack" "8.4.7"
+    "@storybook/react" "8.4.7"
     "@storybook/react-docgen-typescript-plugin" "1.0.6--canary.9.0c3f3b7.0"
     "@types/node" "^22.0.0"
     "@types/semver" "^7.3.4"
@@ -2679,10 +2698,10 @@
     tsconfig-paths "^4.2.0"
     webpack "5"
 
-"@storybook/preview-api@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/preview-api/-/preview-api-8.4.2.tgz"
-  integrity sha512-5X/xvIvDPaWJKUBCo5zVeBbbjkhnwcI2KPkuOgrHVRRhuQ5WqD0RYxVtOOFNyQXme7g0nNl5RFNgvT7qv9qGeg==
+"@storybook/preview-api@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/preview-api/-/preview-api-8.4.7.tgz"
+  integrity sha512-0QVQwHw+OyZGHAJEXo6Knx+6/4er7n2rTDE5RYJ9F2E2Lg42E19pfdLlq2Jhoods2Xrclo3wj6GWR//Ahi39Eg==
 
 "@storybook/react-docgen-typescript-plugin@1.0.6--canary.9.0c3f3b7.0":
   version "1.0.6--canary.9.0c3f3b7.0"
@@ -2697,41 +2716,52 @@
     react-docgen-typescript "^2.2.2"
     tslib "^2.0.0"
 
-"@storybook/react-dom-shim@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/react-dom-shim/-/react-dom-shim-8.4.2.tgz"
-  integrity sha512-FZVTM1f34FpGnf6e3MDIKkz05gmn8H9wEccvQAgr8pEFe8VWfrpVWeUrmatSAfgrCMNXYC1avDend8UX6IM8Fg==
+"@storybook/react-dom-shim@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/react-dom-shim/-/react-dom-shim-8.4.7.tgz"
+  integrity sha512-6bkG2jvKTmWrmVzCgwpTxwIugd7Lu+2btsLAqhQSzDyIj2/uhMNp8xIMr/NBDtLgq3nomt9gefNa9xxLwk/OMg==
 
-"@storybook/react@8.4.2", "@storybook/react@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/react/-/react-8.4.2.tgz"
-  integrity sha512-rO5/aVKBVhIKENcL7G8ud4QKC5OyWBPCkJIvY6XUHIuhErJy9/4pP+sZ85jypVwx5kq+EqCPF8AEOWjIxB/4/Q==
+"@storybook/react@^8.3.6", "@storybook/react@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/react/-/react-8.4.7.tgz"
+  integrity sha512-nQ0/7i2DkaCb7dy0NaT95llRVNYWQiPIVuhNfjr1mVhEP7XD090p0g7eqUmsx8vfdHh2BzWEo6CoBFRd3+EXxw==
   dependencies:
-    "@storybook/components" "8.4.2"
+    "@storybook/components" "8.4.7"
     "@storybook/global" "^5.0.0"
-    "@storybook/manager-api" "8.4.2"
-    "@storybook/preview-api" "8.4.2"
-    "@storybook/react-dom-shim" "8.4.2"
-    "@storybook/theming" "8.4.2"
+    "@storybook/manager-api" "8.4.7"
+    "@storybook/preview-api" "8.4.7"
+    "@storybook/react-dom-shim" "8.4.7"
+    "@storybook/theming" "8.4.7"
 
-"@storybook/test@8.4.2", "@storybook/test@^8.3.5":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/test/-/test-8.4.2.tgz"
-  integrity sha512-MipTdboStv0hsqF2Sw8TZgP0YnxCcDYwxkTOd4hmRzev/7Brtvpi4pqjqh8k98ZCvhrCPAPVIoX5drk+oi3YUA==
+"@storybook/test@^8.3.6", "@storybook/test@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/test/-/test-8.4.7.tgz"
+  integrity sha512-AhvJsu5zl3uG40itSQVuSy5WByp3UVhS6xAnme4FWRwgSxhvZjATJ3AZkkHWOYjnnk+P2/sbz/XuPli1FVCWoQ==
   dependencies:
     "@storybook/csf" "^0.1.11"
     "@storybook/global" "^5.0.0"
-    "@storybook/instrumenter" "8.4.2"
+    "@storybook/instrumenter" "8.4.7"
     "@testing-library/dom" "10.4.0"
     "@testing-library/jest-dom" "6.5.0"
     "@testing-library/user-event" "14.5.2"
     "@vitest/expect" "2.0.5"
     "@vitest/spy" "2.0.5"
 
-"@storybook/theming@8.4.2":
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/@storybook/theming/-/theming-8.4.2.tgz"
-  integrity sha512-9j4fnu5LcV+qSs1rdwf61Bt14lms0T1LOZkHxGNcS1c1oH+cPS+sxECh2lxtni+mvOAHUlBs9pKhVZzRPdWpvg==
+"@storybook/theming@8.4.7":
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/@storybook/theming/-/theming-8.4.7.tgz"
+  integrity sha512-99rgLEjf7iwfSEmdqlHkSG3AyLcK0sfExcr0jnc6rLiAkBhzuIsvcHjjUwkR210SOCgXqBPW0ZA6uhnuyppHLw==
+
+"@stylistic/eslint-plugin@^2.12.1":
+  version "2.12.1"
+  resolved "https://registry.npmjs.org/@stylistic/eslint-plugin/-/eslint-plugin-2.12.1.tgz"
+  integrity sha512-fubZKIHSPuo07FgRTn6S4Nl0uXPRPYVNpyZzIDGfp7Fny6JjNus6kReLD7NI380JXi4HtUTSOZ34LBuNPO1XLQ==
+  dependencies:
+    "@typescript-eslint/utils" "^8.13.0"
+    eslint-visitor-keys "^4.2.0"
+    espree "^10.3.0"
+    estraverse "^5.3.0"
+    picomatch "^4.0.2"
 
 "@svgdotjs/svg.js@^3.2.4":
   version "3.2.4"
@@ -2758,15 +2788,10 @@
   dependencies:
     defer-to-connect "^2.0.0"
 
-"@tailwindcss/line-clamp@^0.4.4":
-  version "0.4.4"
-  resolved "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz"
-  integrity sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==
-
-"@tailwindcss/typography@^0.5.9":
-  version "0.5.9"
-  resolved "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.9.tgz"
-  integrity sha512-t8Sg3DyynFysV9f4JDOVISGsjazNb48AeIYQwcL+Bsq5uf4RYL75C1giZ43KISjeDGBaTN3Kxh7Xj/vRSMJUUg==
+"@tailwindcss/typography@^0.5.15":
+  version "0.5.15"
+  resolved "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.15.tgz"
+  integrity sha512-AqhlCXl+8grUz8uqExv5OTtgpjuVIwFTSXTrh8y9/pw6q2ek7fJ+Y8ZEVw7EB2DCcuCOtEjf9w3+J3rzts01uA==
   dependencies:
     lodash.castarray "^4.4.0"
     lodash.isplainobject "^4.0.6"
@@ -2790,14 +2815,14 @@
   dependencies:
     "@tanstack/query-devtools" "5.61.4"
 
-"@tanstack/react-query@^5.60.5":
+"@tanstack/react-query@^5.60.5", "@tanstack/react-query@^5.62.3":
   version "5.62.3"
   resolved "https://registry.npmjs.org/@tanstack/react-query/-/react-query-5.62.3.tgz"
   integrity sha512-y2zDNKuhgiuMgsKkqd4AcsLIBiCfEO8U11AdrtAUihmLbRNztPrlcZqx2lH1GacZsx+y1qRRbCcJLYTtF1vKsw==
   dependencies:
     "@tanstack/query-core" "5.62.3"
 
-"@testing-library/dom@10.4.0", "@testing-library/dom@^10.3.2":
+"@testing-library/dom@^10.0.0", "@testing-library/dom@^10.4.0", "@testing-library/dom@>=7.21.4", "@testing-library/dom@10.4.0":
   version "10.4.0"
   resolved "https://registry.npmjs.org/@testing-library/dom/-/dom-10.4.0.tgz"
   integrity sha512-pemlzrSESWbdAloYml3bAJMEfNh1Z7EduzqPKprCH5S341frlpYnUEW0H72dLxa6IsYr+mPno20GiSm+h9dEdQ==
@@ -2811,7 +2836,20 @@
     lz-string "^1.5.0"
     pretty-format "^27.0.2"
 
-"@testing-library/jest-dom@6.5.0", "@testing-library/jest-dom@^6.4.6":
+"@testing-library/jest-dom@^6.6.2":
+  version "6.6.3"
+  resolved "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-6.6.3.tgz"
+  integrity sha512-IteBhl4XqYNkM54f4ejhLRJiZNqcSCoXUOG2CPK7qbD322KjQozM4kHQOfkG2oln9b9HTYqs+Sae8vBATubxxA==
+  dependencies:
+    "@adobe/css-tools" "^4.4.0"
+    aria-query "^5.0.0"
+    chalk "^3.0.0"
+    css.escape "^1.5.1"
+    dom-accessibility-api "^0.6.3"
+    lodash "^4.17.21"
+    redent "^3.0.0"
+
+"@testing-library/jest-dom@6.5.0":
   version "6.5.0"
   resolved "https://registry.npmjs.org/@testing-library/jest-dom/-/jest-dom-6.5.0.tgz"
   integrity sha512-xGGHpBXYSHUUr6XsKBfs85TWlYKpTc37cSBBVrXcib2MkHLboWlkClhWF37JKlDb9KEq3dHs+f2xR7XJEWGBxA==
@@ -2824,10 +2862,10 @@
     lodash "^4.17.21"
     redent "^3.0.0"
 
-"@testing-library/react@^16.0.0":
-  version "16.0.0"
-  resolved "https://registry.npmjs.org/@testing-library/react/-/react-16.0.0.tgz"
-  integrity sha512-guuxUKRWQ+FgNX0h0NS0FIq3Q3uLtWVpBzcLOggmfMoUpgBnzBzvLLd4fbm6yS8ydJd94cIfY4yP9qUQjM2KwQ==
+"@testing-library/react@^16.0.1":
+  version "16.1.0"
+  resolved "https://registry.npmjs.org/@testing-library/react/-/react-16.1.0.tgz"
+  integrity sha512-Q2ToPvg0KsVL0ohND9A3zLJWcOXXcO8IDu3fj11KhNt0UlCWyFyvnCIBkd12tidB2lkiVRG8VFqdhcqhqnAQtg==
   dependencies:
     "@babel/runtime" "^7.12.5"
 
@@ -2916,10 +2954,10 @@
     "@types/node" "*"
     "@types/responselike" "^1.0.0"
 
-"@types/crypto-js@^4.1.1":
-  version "4.1.1"
-  resolved "https://registry.npmjs.org/@types/crypto-js/-/crypto-js-4.1.1.tgz"
-  integrity sha512-BG7fQKZ689HIoc5h+6D2Dgq1fABRa0RbBWKBd9SP/MVRVXROflpm5fhwyATX5duFmbStzyzyycPB8qUYKDH3NA==
+"@types/crypto-js@^4.2.2":
+  version "4.2.2"
+  resolved "https://registry.npmjs.org/@types/crypto-js/-/crypto-js-4.2.2.tgz"
+  integrity sha512-sDOLlVbHhXpAUAL0YHDUUwDZf3iN4Bwi4W6a0W0b+QcAezUbRtH4FVb+9J4h+XFPW7l/gQ9F8qC7P+Ec4k8QVQ==
 
 "@types/d3-array@*":
   version "3.2.1"
@@ -3231,23 +3269,18 @@
   dependencies:
     "@types/istanbul-lib-report" "*"
 
-"@types/jest@^29.5.12":
-  version "29.5.12"
-  resolved "https://registry.npmjs.org/@types/jest/-/jest-29.5.12.tgz"
-  integrity sha512-eDC8bTvT/QhYdxJAulQikueigY5AsdBRH2yDKW3yveW7svY3+DzN84/2NUgkw10RTiJbWqZrTtoGVdYlvFJdLw==
+"@types/jest@^29.5.13":
+  version "29.5.14"
+  resolved "https://registry.npmjs.org/@types/jest/-/jest-29.5.14.tgz"
+  integrity sha512-ZN+4sdnLUbo8EVvVc2ao0GFW6oVrQRPn4K2lglySj7APvSrgzxHiNNK99us4WDMi57xxA2yggblIAMNhXOotLQ==
   dependencies:
     expect "^29.0.0"
     pretty-format "^29.0.0"
 
-"@types/js-cookie@^2.x.x":
-  version "2.2.7"
-  resolved "https://registry.npmjs.org/@types/js-cookie/-/js-cookie-2.2.7.tgz"
-  integrity sha512-aLkWa0C0vO5b4Sr798E26QgOkss68Un0bLjs7u9qxzPT5CG+8DuNTffWES58YzJs3hrVAOs1wonycqEBqNJubA==
-
-"@types/js-cookie@^3.0.3":
-  version "3.0.3"
-  resolved "https://registry.npmjs.org/@types/js-cookie/-/js-cookie-3.0.3.tgz"
-  integrity sha512-Xe7IImK09HP1sv2M/aI+48a20VX+TdRJucfq4vfRVy6nWN8PYPOEnlMRSgxJAgYQIXJVL8dZ4/ilAM7dWNaOww==
+"@types/js-cookie@^3.0.6":
+  version "3.0.6"
+  resolved "https://registry.npmjs.org/@types/js-cookie/-/js-cookie-3.0.6.tgz"
+  integrity sha512-wkw9yd1kEXOPnvEeEV1Go1MmxtBJL0RR79aOTAApecWFVu7w0NNXNqhcWgvw2YgZDYadliXkl14pa3WXw5jlCQ==
 
 "@types/jsdom@^20.0.0":
   version "20.0.1"
@@ -3258,21 +3291,16 @@
     "@types/tough-cookie" "*"
     parse5 "^7.0.0"
 
-"@types/json-schema@*", "@types/json-schema@^7.0.8", "@types/json-schema@^7.0.9":
-  version "7.0.12"
-  resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.12.tgz"
-  integrity sha512-Hr5Jfhc9eYOQNPYO5WLDq/n4jqijdHNlDXjuAQkkt+mWdQR+XJToOHrsD4cPaMXpn6KO7y2+wM8AZEs8VpBLVA==
+"@types/json-schema@*", "@types/json-schema@^7.0.15", "@types/json-schema@^7.0.8", "@types/json-schema@^7.0.9":
+  version "7.0.15"
+  resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz"
+  integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==
 
 "@types/json5@^0.0.29":
   version "0.0.29"
   resolved "https://registry.npmjs.org/@types/json5/-/json5-0.0.29.tgz"
   integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
 
-"@types/katex@^0.14.0":
-  version "0.14.0"
-  resolved "https://registry.npmjs.org/@types/katex/-/katex-0.14.0.tgz"
-  integrity sha512-+2FW2CcT0K3P+JMR8YG846bmDwplKUTsWgT2ENwdQ1UdVfRk3GQrh6Mi4sTopy30gI8Uau5CEqHTDZ6YvWIUPA==
-
 "@types/katex@^0.16.0":
   version "0.16.0"
   resolved "https://registry.npmjs.org/@types/katex/-/katex-0.16.0.tgz"
@@ -3285,10 +3313,10 @@
   dependencies:
     "@types/node" "*"
 
-"@types/lodash-es@^4.17.7":
-  version "4.17.7"
-  resolved "https://registry.npmjs.org/@types/lodash-es/-/lodash-es-4.17.7.tgz"
-  integrity sha512-z0ptr6UI10VlU6l5MYhGwS4mC8DZyYer2mCoyysZtSF7p26zOX8UpbrV0YpNYLGS8K4PUFIyEr62IMFFjveSiQ==
+"@types/lodash-es@^4.17.12":
+  version "4.17.12"
+  resolved "https://registry.npmjs.org/@types/lodash-es/-/lodash-es-4.17.12.tgz"
+  integrity sha512-0NgftHUcV4v34VhXm8QBSftKVXtbkBG3ViCjs6+eJ5a6y6Mi/jiFGPc1sC7QK+9BFhWrURE3EOggmWaSxL9OzQ==
   dependencies:
     "@types/lodash" "*"
 
@@ -3297,13 +3325,6 @@
   resolved "https://registry.npmjs.org/@types/lodash/-/lodash-4.14.195.tgz"
   integrity sha512-Hwx9EUgdwf2GLarOjQp5ZH8ZmblzcbTBC2wtQWNKARBSxM9ezRIAUpeDTgoQRAFB0+8CNWXVA9+MaSOzOF3nPg==
 
-"@types/mdast@^3.0.0":
-  version "3.0.11"
-  resolved "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.11.tgz"
-  integrity sha512-Y/uImid8aAwrEA24/1tcRZwpxX3pIFTSilcNDKSPn+Y2iDywSEachzRuvgAYYLR3wpGXAsMbv5lvKLDZLeYPAw==
-  dependencies:
-    "@types/unist" "*"
-
 "@types/mdast@^4.0.0":
   version "4.0.4"
   resolved "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz"
@@ -3321,10 +3342,10 @@
   resolved "https://registry.npmjs.org/@types/ms/-/ms-0.7.31.tgz"
   integrity sha512-iiUgKzV9AuaEkZqkOLDIvlQiL6ltuZd9tGcW3gwpnX8JbuiuhFlEGmmFXEXkN50Cvq7Os88IY2v0dkDqXYWVgA==
 
-"@types/negotiator@^0.6.1":
-  version "0.6.1"
-  resolved "https://registry.npmjs.org/@types/negotiator/-/negotiator-0.6.1.tgz"
-  integrity sha512-c4mvXFByghezQ/eVGN5HvH/jI63vm3B7FiE81BUzDAWmuiohRecCO6ddU60dfq29oKUMiQujsoB2h0JQC7JHKA==
+"@types/negotiator@^0.6.3":
+  version "0.6.3"
+  resolved "https://registry.npmjs.org/@types/negotiator/-/negotiator-0.6.3.tgz"
+  integrity sha512-JkXTOdKs5MF086b/pt8C3+yVp3iDUwG635L7oCH6HvJvvr6lSUU5oe/gLXnPEfYRROHjJIPgCV6cuAg8gGkntQ==
 
 "@types/node@*", "@types/node@18.15.0":
   version "18.15.0"
@@ -3343,10 +3364,10 @@
   resolved "https://registry.npmjs.org/@types/normalize-package-data/-/normalize-package-data-2.4.1.tgz"
   integrity sha512-Gj7cI7z+98M282Tqmp2K5EIsoouUEzbBJhQQzDE3jSIRk6r9gsz0oUokqIUR4u1R3dMHo0pDHM7sNOHyhulypw==
 
-"@types/papaparse@^5.3.1":
-  version "5.3.7"
-  resolved "https://registry.npmjs.org/@types/papaparse/-/papaparse-5.3.7.tgz"
-  integrity sha512-f2HKmlnPdCvS0WI33WtCs5GD7X1cxzzS/aduaxSu3I7TbhWlENjSPs6z5TaB9K0J+BH1jbmqTaM+ja5puis4wg==
+"@types/papaparse@^5.3.9":
+  version "5.3.15"
+  resolved "https://registry.npmjs.org/@types/papaparse/-/papaparse-5.3.15.tgz"
+  integrity sha512-JHe6vF6x/8Z85nCX4yFdDslN11d+1pr12E526X8WAfhadOeaOTx5AuIkvDKIBopfvlzpzkdMx4YyvSKCM9oqtw==
   dependencies:
     "@types/node" "*"
 
@@ -3355,53 +3376,53 @@
   resolved "https://registry.npmjs.org/@types/parse-json/-/parse-json-4.0.2.tgz"
   integrity sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw==
 
-"@types/prop-types@*", "@types/prop-types@^15.0.0":
+"@types/prop-types@*":
   version "15.7.5"
   resolved "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.5.tgz"
   integrity sha512-JCB8C6SnDoQf0cNycqd/35A7MjcnK+ZTqE7judS6o7utxUCg6imJg3QK2qzHKszlTjcj2cn+NwMB2i96ubpj7w==
 
-"@types/qs@^6.9.7":
-  version "6.9.7"
-  resolved "https://registry.npmjs.org/@types/qs/-/qs-6.9.7.tgz"
-  integrity sha512-FGa1F62FT09qcrueBA6qYTrJPVDzah9a+493+o2PCXsesWHIn27G98TsSMs3WPNbZIEj4+VJf6saSFpvD+3Zsw==
+"@types/qs@^6.9.16":
+  version "6.9.17"
+  resolved "https://registry.npmjs.org/@types/qs/-/qs-6.9.17.tgz"
+  integrity sha512-rX4/bPcfmvxHDv0XjfJELTTr+iB+tn032nPILqHm5wbthUUUuVtNGGqzhya9XUxjTP8Fpr0qYgSZZKxGY++svQ==
 
-"@types/react-dom@~18.2.0":
+"@types/react-dom@^18.0.0 || ^19.0.0", "@types/react-dom@~18.2.0":
   version "18.2.25"
   resolved "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.2.25.tgz"
   integrity sha512-o/V48vf4MQh7juIKZU2QGDfli6p1+OOi5oXx36Hffpc9adsHeXjVp8rHuPkjd8VT8sOJ2Zp05HR7CdpGTIUFUA==
   dependencies:
     "@types/react" "*"
 
-"@types/react-slider@^1.3.1":
-  version "1.3.1"
-  resolved "https://registry.npmjs.org/@types/react-slider/-/react-slider-1.3.1.tgz"
-  integrity sha512-4X2yK7RyCIy643YCFL+bc6XNmcnBtt8n88uuyihvcn5G7Lut23eNQU3q3KmwF7MWIfKfsW5NxCjw0SeDZRtgaA==
+"@types/react-slider@^1.3.6":
+  version "1.3.6"
+  resolved "https://registry.npmjs.org/@types/react-slider/-/react-slider-1.3.6.tgz"
+  integrity sha512-RS8XN5O159YQ6tu3tGZIQz1/9StMLTg/FCIPxwqh2gwVixJnlfIodtVx+fpXVMZHe7A58lAX1Q4XTgAGOQaCQg==
   dependencies:
     "@types/react" "*"
 
-"@types/react-syntax-highlighter@^15.5.6":
-  version "15.5.7"
-  resolved "https://registry.npmjs.org/@types/react-syntax-highlighter/-/react-syntax-highlighter-15.5.7.tgz"
-  integrity sha512-bo5fEO5toQeyCp0zVHBeggclqf5SQ/Z5blfFmjwO5dkMVGPgmiwZsJh9nu/Bo5L7IHTuGWrja6LxJVE2uB5ZrQ==
+"@types/react-syntax-highlighter@^15.5.13":
+  version "15.5.13"
+  resolved "https://registry.npmjs.org/@types/react-syntax-highlighter/-/react-syntax-highlighter-15.5.13.tgz"
+  integrity sha512-uLGJ87j6Sz8UaBAooU0T6lWJ0dBmjZgN1PZTrj05TNql2/XpC6+4HhMT5syIdFUUt+FASfCeLLv4kBygNU+8qA==
   dependencies:
     "@types/react" "*"
 
-"@types/react-window-infinite-loader@^1.0.6":
-  version "1.0.6"
-  resolved "https://registry.npmjs.org/@types/react-window-infinite-loader/-/react-window-infinite-loader-1.0.6.tgz"
-  integrity sha512-V8g8sBDLVeJJAfEENJS7VXZK+DRJ+jzPNtk8jpj2G+obhf+iqGNUDGwNWCbBhLiD+KpHhf3kWQlKBRi0tAeU4Q==
+"@types/react-window-infinite-loader@^1.0.9":
+  version "1.0.9"
+  resolved "https://registry.npmjs.org/@types/react-window-infinite-loader/-/react-window-infinite-loader-1.0.9.tgz"
+  integrity sha512-gEInTjQwURCnDOFyIEK2+fWB5gTjqwx30O62QfxA9stE5aiB6EWkGj4UMhc0axq7/FV++Gs/TGW8FtgEx0S6Tw==
   dependencies:
     "@types/react" "*"
     "@types/react-window" "*"
 
-"@types/react-window@*", "@types/react-window@^1.8.5":
-  version "1.8.5"
-  resolved "https://registry.npmjs.org/@types/react-window/-/react-window-1.8.5.tgz"
-  integrity sha512-V9q3CvhC9Jk9bWBOysPGaWy/Z0lxYcTXLtLipkt2cnRj1JOSFNF7wqGpkScSXMgBwC+fnVRg/7shwgddBG5ICw==
+"@types/react-window@*", "@types/react-window@^1.8.8":
+  version "1.8.8"
+  resolved "https://registry.npmjs.org/@types/react-window/-/react-window-1.8.8.tgz"
+  integrity sha512-8Ls660bHR1AUA2kuRvVG9D/4XpRC6wjAaPT9dil7Ckc76eP9TKWZwwmgfq8Q1LANX3QNDnoU4Zp48A3w+zK69Q==
   dependencies:
     "@types/react" "*"
 
-"@types/react@*", "@types/react@>=16", "@types/react@~18.2.0":
+"@types/react@*", "@types/react@^18.0.0 || ^19.0.0", "@types/react@>=16", "@types/react@>=16.8", "@types/react@>=18", "@types/react@~18.2.0":
   version "18.2.79"
   resolved "https://registry.npmjs.org/@types/react/-/react-18.2.79.tgz"
   integrity sha512-RwGAGXPl9kSXwdNTafkOEuFrTBD5SA2B3iEB96xi8+xu5ddUa/cpvyVCSNn+asgLCTHkb5ZxN8gbuibYJi4s1w==
@@ -3409,10 +3430,10 @@
     "@types/prop-types" "*"
     csstype "^3.0.2"
 
-"@types/recordrtc@^5.6.11":
-  version "5.6.11"
-  resolved "https://registry.npmjs.org/@types/recordrtc/-/recordrtc-5.6.11.tgz"
-  integrity sha512-X4XD5nltz0cjmyzsPNegQReOPF+C5ARTfSPAPhqnKV7SsfRta/M4FBJ5AtSInCaEveL71FLLSVQE9mg8Uuo++w==
+"@types/recordrtc@^5.6.14":
+  version "5.6.14"
+  resolved "https://registry.npmjs.org/@types/recordrtc/-/recordrtc-5.6.14.tgz"
+  integrity sha512-Reiy1sl11xP0r6w8DW3iQjc1BgXFyNC7aDuutysIjpFoqyftbQps9xPA2FoBkfVXpJM61betgYPNt+v65zvMhA==
 
 "@types/resolve@^1.20.2":
   version "1.20.6"
@@ -3426,12 +3447,12 @@
   dependencies:
     "@types/node" "*"
 
-"@types/semver@^7.3.12", "@types/semver@^7.3.4":
-  version "7.5.0"
-  resolved "https://registry.npmjs.org/@types/semver/-/semver-7.5.0.tgz"
-  integrity sha512-G8hZ6XJiHnuhQKR7ZmysCeJWE08o8T0AXtk5darsCaTVsYZhhgUrq53jizaR2FvsoeCwJhlmwTjkXBY5Pn/ZHw==
+"@types/semver@^7.3.4", "@types/semver@^7.5.8":
+  version "7.5.8"
+  resolved "https://registry.npmjs.org/@types/semver/-/semver-7.5.8.tgz"
+  integrity sha512-I8EUhyrgfLrcTkzV3TSsGyl1tSuPrEDzr0yd5m90UgNxQkyDXULk3b6MlQqTCpZpNtWe1K0hzclnZkTcLBe2UQ==
 
-"@types/sortablejs@^1.15.1":
+"@types/sortablejs@^1.15.1", "@types/sortablejs@1":
   version "1.15.1"
   resolved "https://registry.npmjs.org/@types/sortablejs/-/sortablejs-1.15.1.tgz"
   integrity sha512-g/JwBNToh6oCTAwNS8UGVmjO7NLDKsejVhvE4x1eWiPTC3uCuNsa/TD4ssvX3du+MLiM+SHPNDuijp8y76JzLQ==
@@ -3451,17 +3472,22 @@
   resolved "https://registry.npmjs.org/@types/trusted-types/-/trusted-types-2.0.7.tgz"
   integrity sha512-ScaPdn1dQczgbl0QFTeTOmVHFULt394XJgOQNoyVhZ6r2vLnMLJfBPd53SB52T/3G36VI1/g2MZaX0cwDuXsfw==
 
-"@types/unist@*", "@types/unist@^2.0.0", "@types/unist@^2.0.2":
-  version "2.0.6"
-  resolved "https://registry.npmjs.org/@types/unist/-/unist-2.0.6.tgz"
-  integrity sha512-PBjIUxZHOuj0R15/xuwJYjFi+KZdNFrehocChv4g5hu6aFroHue8m0lBP0POdK2nKzbw0cgV1mws8+V/JAcEkQ==
-
-"@types/unist@^3.0.0":
+"@types/unist@*", "@types/unist@^3.0.0":
   version "3.0.3"
   resolved "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz"
   integrity sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==
 
-"@types/uuid@^9.0.1", "@types/uuid@^9.0.8":
+"@types/unist@^2.0.0":
+  version "2.0.6"
+  resolved "https://registry.npmjs.org/@types/unist/-/unist-2.0.6.tgz"
+  integrity sha512-PBjIUxZHOuj0R15/xuwJYjFi+KZdNFrehocChv4g5hu6aFroHue8m0lBP0POdK2nKzbw0cgV1mws8+V/JAcEkQ==
+
+"@types/uuid@^10.0.0":
+  version "10.0.0"
+  resolved "https://registry.npmjs.org/@types/uuid/-/uuid-10.0.0.tgz"
+  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
+
+"@types/uuid@^9.0.1":
   version "9.0.8"
   resolved "https://registry.npmjs.org/@types/uuid/-/uuid-9.0.8.tgz"
   integrity sha512-jg+97EGIcY9AGHJJRaaPVgetKDsrTgbRjQ5Msgjh/DQKEFl0DtyRr/VCOyD1T2R1MNeWPK/u7JoGhlDZnKBAfA==
@@ -3478,143 +3504,97 @@
   dependencies:
     "@types/yargs-parser" "*"
 
-"@typescript-eslint/eslint-plugin@^5.53.0":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-5.59.9.tgz"
-  integrity sha512-4uQIBq1ffXd2YvF7MAvehWKW3zVv/w+mSfRAu+8cKbfj3nwzyqJLNcZJpQ/WZ1HLbJDiowwmQ6NO+63nCA+fqA==
+"@typescript-eslint/eslint-plugin@^5.4.2 || ^6.0.0 || ^7.0.0 || ^8.0.0", "@typescript-eslint/eslint-plugin@^8.0.0-0 || ^7.0.0 || ^6.0.0 || ^5.0.0", "@typescript-eslint/eslint-plugin@^8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.18.2.tgz"
+  integrity sha512-adig4SzPLjeQ0Tm+jvsozSGiCliI2ajeURDGHjZ2llnA+A67HihCQ+a3amtPhUakd1GlwHxSRvzOZktbEvhPPg==
   dependencies:
-    "@eslint-community/regexpp" "^4.4.0"
-    "@typescript-eslint/scope-manager" "5.59.9"
-    "@typescript-eslint/type-utils" "5.59.9"
-    "@typescript-eslint/utils" "5.59.9"
-    debug "^4.3.4"
-    grapheme-splitter "^1.0.4"
-    ignore "^5.2.0"
-    natural-compare-lite "^1.4.0"
-    semver "^7.3.7"
-    tsutils "^3.21.0"
+    "@eslint-community/regexpp" "^4.10.0"
+    "@typescript-eslint/scope-manager" "8.18.2"
+    "@typescript-eslint/type-utils" "8.18.2"
+    "@typescript-eslint/utils" "8.18.2"
+    "@typescript-eslint/visitor-keys" "8.18.2"
+    graphemer "^1.4.0"
+    ignore "^5.3.1"
+    natural-compare "^1.4.0"
+    ts-api-utils "^1.3.0"
 
-"@typescript-eslint/parser@^5.4.2 || ^6.0.0", "@typescript-eslint/parser@^5.53.0":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-5.59.9.tgz"
-  integrity sha512-FsPkRvBtcLQ/eVK1ivDiNYBjn3TGJdXy2fhXX+rc7czWl4ARwnpArwbihSOHI2Peg9WbtGHrbThfBUkZZGTtvQ==
+"@typescript-eslint/parser@^5.4.2 || ^6.0.0 || ^7.0.0 || ^8.0.0", "@typescript-eslint/parser@^8.0.0 || ^8.0.0-alpha.0", "@typescript-eslint/parser@^8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-8.18.2.tgz"
+  integrity sha512-y7tcq4StgxQD4mDr9+Jb26dZ+HTZ/SkfqpXSiqeUXZHxOUyjWDKsmwKhJ0/tApR08DgOhrFAoAhyB80/p3ViuA==
   dependencies:
-    "@typescript-eslint/scope-manager" "5.59.9"
-    "@typescript-eslint/types" "5.59.9"
-    "@typescript-eslint/typescript-estree" "5.59.9"
+    "@typescript-eslint/scope-manager" "8.18.2"
+    "@typescript-eslint/types" "8.18.2"
+    "@typescript-eslint/typescript-estree" "8.18.2"
+    "@typescript-eslint/visitor-keys" "8.18.2"
     debug "^4.3.4"
 
-"@typescript-eslint/scope-manager@5.59.9":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-5.59.9.tgz"
-  integrity sha512-8RA+E+w78z1+2dzvK/tGZ2cpGigBZ58VMEHDZtpE1v+LLjzrYGc8mMaTONSxKyEkz3IuXFM0IqYiGHlCsmlZxQ==
+"@typescript-eslint/scope-manager@^8.1.0", "@typescript-eslint/scope-manager@^8.18.2", "@typescript-eslint/scope-manager@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.18.2.tgz"
+  integrity sha512-YJFSfbd0CJjy14r/EvWapYgV4R5CHzptssoag2M7y3Ra7XNta6GPAJPPP5KGB9j14viYXyrzRO5GkX7CRfo8/g==
   dependencies:
-    "@typescript-eslint/types" "5.59.9"
-    "@typescript-eslint/visitor-keys" "5.59.9"
+    "@typescript-eslint/types" "8.18.2"
+    "@typescript-eslint/visitor-keys" "8.18.2"
 
-"@typescript-eslint/scope-manager@5.62.0":
-  version "5.62.0"
-  resolved "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-5.62.0.tgz"
-  integrity sha512-VXuvVvZeQCQb5Zgf4HAxc04q5j+WrNAtNh9OwCsCgpKqESMTu3tF/jhZ3xG6T4NZwWl65Bg8KuS2uEvhSfLl0w==
+"@typescript-eslint/type-utils@^8.0.0", "@typescript-eslint/type-utils@^8.18.2", "@typescript-eslint/type-utils@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.18.2.tgz"
+  integrity sha512-AB/Wr1Lz31bzHfGm/jgbFR0VB0SML/hd2P1yxzKDM48YmP7vbyJNHRExUE/wZsQj2wUCvbWH8poNHFuxLqCTnA==
   dependencies:
-    "@typescript-eslint/types" "5.62.0"
-    "@typescript-eslint/visitor-keys" "5.62.0"
-
-"@typescript-eslint/type-utils@5.59.9":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-5.59.9.tgz"
-  integrity sha512-ksEsT0/mEHg9e3qZu98AlSrONAQtrSTljL3ow9CGej8eRo7pe+yaC/mvTjptp23Xo/xIf2mLZKC6KPv4Sji26Q==
-  dependencies:
-    "@typescript-eslint/typescript-estree" "5.59.9"
-    "@typescript-eslint/utils" "5.59.9"
+    "@typescript-eslint/typescript-estree" "8.18.2"
+    "@typescript-eslint/utils" "8.18.2"
     debug "^4.3.4"
-    tsutils "^3.21.0"
+    ts-api-utils "^1.3.0"
 
-"@typescript-eslint/types@5.59.9":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/types/-/types-5.59.9.tgz"
-  integrity sha512-uW8H5NRgTVneSVTfiCVffBb8AbwWSKg7qcA4Ot3JI3MPCJGsB4Db4BhvAODIIYE5mNj7Q+VJkK7JxmRhk2Lyjw==
+"@typescript-eslint/types@^8.18.1", "@typescript-eslint/types@^8.18.2", "@typescript-eslint/types@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.18.2.tgz"
+  integrity sha512-Z/zblEPp8cIvmEn6+tPDIHUbRu/0z5lqZ+NvolL5SvXWT5rQy7+Nch83M0++XzO0XrWRFWECgOAyE8bsJTl1GQ==
 
-"@typescript-eslint/types@5.62.0":
-  version "5.62.0"
-  resolved "https://registry.npmjs.org/@typescript-eslint/types/-/types-5.62.0.tgz"
-  integrity sha512-87NVngcbVXUahrRTqIK27gD2t5Cu1yuCXxbLcFtCzZGlfyVWWh8mLHkoxzjsB6DDNnvdL+fW8MiwPEJyGJQDgQ==
-
-"@typescript-eslint/typescript-estree@5.59.9":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-5.59.9.tgz"
-  integrity sha512-pmM0/VQ7kUhd1QyIxgS+aRvMgw+ZljB3eDb+jYyp6d2bC0mQWLzUDF+DLwCTkQ3tlNyVsvZRXjFyV0LkU/aXjA==
+"@typescript-eslint/typescript-estree@^8.18.2", "@typescript-eslint/typescript-estree@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.18.2.tgz"
+  integrity sha512-WXAVt595HjpmlfH4crSdM/1bcsqh+1weFRWIa9XMTx/XHZ9TCKMcr725tLYqWOgzKdeDrqVHxFotrvWcEsk2Tg==
   dependencies:
-    "@typescript-eslint/types" "5.59.9"
-    "@typescript-eslint/visitor-keys" "5.59.9"
+    "@typescript-eslint/types" "8.18.2"
+    "@typescript-eslint/visitor-keys" "8.18.2"
     debug "^4.3.4"
-    globby "^11.1.0"
+    fast-glob "^3.3.2"
     is-glob "^4.0.3"
-    semver "^7.3.7"
-    tsutils "^3.21.0"
+    minimatch "^9.0.4"
+    semver "^7.6.0"
+    ts-api-utils "^1.3.0"
 
-"@typescript-eslint/typescript-estree@5.62.0":
-  version "5.62.0"
-  resolved "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-5.62.0.tgz"
-  integrity sha512-CmcQ6uY7b9y694lKdRB8FEel7JbU/40iSAPomu++SjLMntB+2Leay2LO6i8VnJk58MtE9/nQSFIH6jpyRWyYzA==
+"@typescript-eslint/utils@^8.1.0", "@typescript-eslint/utils@^8.13.0", "@typescript-eslint/utils@^8.18.1", "@typescript-eslint/utils@^8.18.2", "@typescript-eslint/utils@^8.8.1", "@typescript-eslint/utils@>= 8.0", "@typescript-eslint/utils@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.18.2.tgz"
+  integrity sha512-Cr4A0H7DtVIPkauj4sTSXVl+VBWewE9/o40KcF3TV9aqDEOWoXF3/+oRXNby3DYzZeCATvbdksYsGZzplwnK/Q==
   dependencies:
-    "@typescript-eslint/types" "5.62.0"
-    "@typescript-eslint/visitor-keys" "5.62.0"
-    debug "^4.3.4"
-    globby "^11.1.0"
-    is-glob "^4.0.3"
-    semver "^7.3.7"
-    tsutils "^3.21.0"
+    "@eslint-community/eslint-utils" "^4.4.0"
+    "@typescript-eslint/scope-manager" "8.18.2"
+    "@typescript-eslint/types" "8.18.2"
+    "@typescript-eslint/typescript-estree" "8.18.2"
 
-"@typescript-eslint/utils@5.59.9", "@typescript-eslint/utils@^5.10.0", "@typescript-eslint/utils@^5.53.0":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-5.59.9.tgz"
-  integrity sha512-1PuMYsju/38I5Ggblaeb98TOoUvjhRvLpLa1DoTOFaLWqaXl/1iQ1eGurTXgBY58NUdtfTXKP5xBq7q9NDaLKg==
+"@typescript-eslint/visitor-keys@8.18.2":
+  version "8.18.2"
+  resolved "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.18.2.tgz"
+  integrity sha512-zORcwn4C3trOWiCqFQP1x6G3xTRyZ1LYydnj51cRnJ6hxBlr/cKPckk+PKPUw/fXmvfKTcw7bwY3w9izgx5jZw==
   dependencies:
-    "@eslint-community/eslint-utils" "^4.2.0"
-    "@types/json-schema" "^7.0.9"
-    "@types/semver" "^7.3.12"
-    "@typescript-eslint/scope-manager" "5.59.9"
-    "@typescript-eslint/types" "5.59.9"
-    "@typescript-eslint/typescript-estree" "5.59.9"
-    eslint-scope "^5.1.1"
-    semver "^7.3.7"
+    "@typescript-eslint/types" "8.18.2"
+    eslint-visitor-keys "^4.2.0"
 
-"@typescript-eslint/utils@^5.62.0":
-  version "5.62.0"
-  resolved "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-5.62.0.tgz"
-  integrity sha512-n8oxjeb5aIbPFEtmQxQYOLI0i9n5ySBEY/ZEHHZqKQSFnxio1rv6dthascc9dLuwrL0RC5mPCxB7vnAVGAYWAQ==
-  dependencies:
-    "@eslint-community/eslint-utils" "^4.2.0"
-    "@types/json-schema" "^7.0.9"
-    "@types/semver" "^7.3.12"
-    "@typescript-eslint/scope-manager" "5.62.0"
-    "@typescript-eslint/types" "5.62.0"
-    "@typescript-eslint/typescript-estree" "5.62.0"
-    eslint-scope "^5.1.1"
-    semver "^7.3.7"
-
-"@typescript-eslint/visitor-keys@5.59.9":
-  version "5.59.9"
-  resolved "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-5.59.9.tgz"
-  integrity sha512-bT7s0td97KMaLwpEBckbzj/YohnvXtqbe2XgqNvTl6RJVakY5mvENOTPvw5u66nljfZxthESpDozs86U+oLY8Q==
-  dependencies:
-    "@typescript-eslint/types" "5.59.9"
-    eslint-visitor-keys "^3.3.0"
-
-"@typescript-eslint/visitor-keys@5.62.0":
-  version "5.62.0"
-  resolved "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-5.62.0.tgz"
-  integrity sha512-07ny+LHRzQXepkGg6w0mFY41fVUNBrL2Roj/++7V1txKugfjm/Ci/qSND03r2RhlJhJYMcTn9AhhSSqQp0Ysyw==
-  dependencies:
-    "@typescript-eslint/types" "5.62.0"
-    eslint-visitor-keys "^3.3.0"
-
-"@ungap/structured-clone@^1.0.0", "@ungap/structured-clone@^1.2.0":
+"@ungap/structured-clone@^1.0.0":
   version "1.2.0"
   resolved "https://registry.npmjs.org/@ungap/structured-clone/-/structured-clone-1.2.0.tgz"
   integrity sha512-zuVdFrMJiuCDQUMCzQaD6KL28MjnqqN8XnAqiEq9PNm/hCPTSGfrXCOfwj1ow4LFb/tNymJPwsNbVePc1xFqrQ==
 
+"@vitest/eslint-plugin@^1.1.20":
+  version "1.1.20"
+  resolved "https://registry.npmjs.org/@vitest/eslint-plugin/-/eslint-plugin-1.1.20.tgz"
+  integrity sha512-2eLsgUm+GVOpDfNyH2do//MiNO/WZkXrPi+EjDmXEdUt6Jwnziq4H221L8vJE0aJys+l1FRfSkm4QbaIyDCfBg==
+
 "@vitest/expect@2.0.5":
   version "2.0.5"
   resolved "https://registry.npmjs.org/@vitest/expect/-/expect-2.0.5.tgz"
@@ -3646,6 +3626,15 @@
   dependencies:
     tinyspy "^3.0.0"
 
+"@vitest/utils@^2.1.1":
+  version "2.1.4"
+  resolved "https://registry.npmjs.org/@vitest/utils/-/utils-2.1.4.tgz"
+  integrity sha512-MXDnZn0Awl2S86PSNIim5PWXgIAx8CIkzu35mBdSApUip6RFOGXBCf3YFyeEu8n1IHk4bWD46DeYFu9mQlFIRg==
+  dependencies:
+    "@vitest/pretty-format" "2.1.4"
+    loupe "^3.1.2"
+    tinyrainbow "^1.2.0"
+
 "@vitest/utils@2.0.5":
   version "2.0.5"
   resolved "https://registry.npmjs.org/@vitest/utils/-/utils-2.0.5.tgz"
@@ -3656,15 +3645,6 @@
     loupe "^3.1.1"
     tinyrainbow "^1.2.0"
 
-"@vitest/utils@^2.1.1":
-  version "2.1.4"
-  resolved "https://registry.npmjs.org/@vitest/utils/-/utils-2.1.4.tgz"
-  integrity sha512-MXDnZn0Awl2S86PSNIim5PWXgIAx8CIkzu35mBdSApUip6RFOGXBCf3YFyeEu8n1IHk4bWD46DeYFu9mQlFIRg==
-  dependencies:
-    "@vitest/pretty-format" "2.1.4"
-    loupe "^3.1.2"
-    tinyrainbow "^1.2.0"
-
 "@vue/compiler-core@3.5.13":
   version "3.5.13"
   resolved "https://registry.npmjs.org/@vue/compiler-core/-/compiler-core-3.5.13.tgz"
@@ -3676,7 +3656,7 @@
     estree-walker "^2.0.2"
     source-map-js "^1.2.0"
 
-"@vue/compiler-dom@^3.2.47":
+"@vue/compiler-dom@^3.2.47", "@vue/compiler-dom@3.5.13":
   version "3.5.13"
   resolved "https://registry.npmjs.org/@vue/compiler-dom/-/compiler-dom-3.5.13.tgz"
   integrity sha512-ZOJ46sMOKUjO3e94wPdCzQ6P1Lx/vhp2RSvfaab88Ajexs0AHeV0uasYhi99WPaogmBlRHNRuly8xV75cNTMDA==
@@ -3684,12 +3664,35 @@
     "@vue/compiler-core" "3.5.13"
     "@vue/shared" "3.5.13"
 
+"@vue/compiler-sfc@^3.3.0":
+  version "3.5.13"
+  resolved "https://registry.npmjs.org/@vue/compiler-sfc/-/compiler-sfc-3.5.13.tgz"
+  integrity sha512-6VdaljMpD82w6c2749Zhf5T9u5uLBWKnVue6XWxprDobftnletJ8+oel7sexFfM3qIxNmVE7LSFGTpv6obNyaQ==
+  dependencies:
+    "@babel/parser" "^7.25.3"
+    "@vue/compiler-core" "3.5.13"
+    "@vue/compiler-dom" "3.5.13"
+    "@vue/compiler-ssr" "3.5.13"
+    "@vue/shared" "3.5.13"
+    estree-walker "^2.0.2"
+    magic-string "^0.30.11"
+    postcss "^8.4.48"
+    source-map-js "^1.2.0"
+
+"@vue/compiler-ssr@3.5.13":
+  version "3.5.13"
+  resolved "https://registry.npmjs.org/@vue/compiler-ssr/-/compiler-ssr-3.5.13.tgz"
+  integrity sha512-wMH6vrYHxQl/IybKJagqbquvxpWCuVYpoUJfCqFZwa/JY1GdATAQ+TgVtgrwwMZ0D07QhA99rs/EAAWfvG6KpA==
+  dependencies:
+    "@vue/compiler-dom" "3.5.13"
+    "@vue/shared" "3.5.13"
+
 "@vue/shared@3.5.13":
   version "3.5.13"
   resolved "https://registry.npmjs.org/@vue/shared/-/shared-3.5.13.tgz"
   integrity sha512-/hnE/qP5ZoGpol0a5mDi45bOd7t3tjYJBjsgCsivow7D48cJeV5l05RD82lPqi7gRiphZM37rnhW1l6ZoCNNnQ==
 
-"@webassemblyjs/ast@1.14.1", "@webassemblyjs/ast@^1.14.1":
+"@webassemblyjs/ast@^1.14.1", "@webassemblyjs/ast@1.14.1":
   version "1.14.1"
   resolved "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.14.1.tgz"
   integrity sha512-nuBEDgQfm1ccRp/8bCQrx1frohyufl4JlbMMZ4P1wpeOfDhF6FQkxZJ1b/e+PLwr6X1Nhw6OLme5usuBWYBvuQ==
@@ -3790,7 +3793,7 @@
     "@webassemblyjs/wasm-gen" "1.14.1"
     "@webassemblyjs/wasm-parser" "1.14.1"
 
-"@webassemblyjs/wasm-parser@1.14.1", "@webassemblyjs/wasm-parser@^1.14.1":
+"@webassemblyjs/wasm-parser@^1.14.1", "@webassemblyjs/wasm-parser@1.14.1":
   version "1.14.1"
   resolved "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.14.1.tgz"
   integrity sha512-JLBl+KZ0R5qB7mCnud/yyX08jWFw5MsoalJ1pQ4EdFlgj9VdXKGuENGsiCIjegI1W7p91rUlcB/LB5yRJKNTcQ==
@@ -3825,11 +3828,6 @@ abab@^2.0.6:
   resolved "https://registry.npmjs.org/abab/-/abab-2.0.6.tgz"
   integrity sha512-j2afSsaIENvHZN2B8GOpF566vZ5WVk5opAiMTvWgaQT8DkbOqsTfvNAvHoRGU2zzP8cPoqys+xHTRDWW8L+/BA==
 
-abbrev@1:
-  version "1.1.1"
-  resolved "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz"
-  integrity sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==
-
 abort-controller@^3.0.0:
   version "3.0.0"
   resolved "https://registry.npmjs.org/abort-controller/-/abort-controller-3.0.0.tgz"
@@ -3857,7 +3855,7 @@ acorn-walk@^8.0.2, acorn-walk@^8.1.1:
   dependencies:
     acorn "^8.11.0"
 
-acorn@^8.0.0, acorn@^8.1.0, acorn@^8.11.0, acorn@^8.14.0, acorn@^8.4.1, acorn@^8.5.0, acorn@^8.8.1, acorn@^8.8.2, acorn@^8.9.0:
+"acorn@^6.0.0 || ^7.0.0 || ^8.0.0", acorn@^8.0.0, acorn@^8.1.0, acorn@^8.11.0, acorn@^8.14.0, acorn@^8.4.1, acorn@^8.5.0, acorn@^8.8.1, acorn@^8.8.2, acorn@^8.9.0:
   version "8.14.0"
   resolved "https://registry.npmjs.org/acorn/-/acorn-8.14.0.tgz"
   integrity sha512-cl669nCJTZBsL97OF4kUQm5g5hC2uihk0NxY3WENAC0TYdILVkAyHymAntgxGkl7K+t0cXIrH5siy5S4XkFycA==
@@ -3877,31 +3875,17 @@ agent-base@6:
   dependencies:
     debug "4"
 
-aggregate-error@^3.0.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/aggregate-error/-/aggregate-error-3.1.0.tgz"
-  integrity sha512-4I7Td01quW/RpocfNayFdFVk1qSuoh0E7JrbRJ16nH01HhKFQ88INq9Sd+nd72zqRySlr9BmDA8xlEJ6vJMrYA==
-  dependencies:
-    clean-stack "^2.0.0"
-    indent-string "^4.0.0"
-
-ahooks-v3-count@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/ahooks-v3-count/-/ahooks-v3-count-1.0.0.tgz"
-  integrity sha512-V7uUvAwnimu6eh/PED4mCDjE7tokeZQLKlxg9lCTMPhN+NjsSbtdacByVlR1oluXQzD3MOw55wylDmQo4+S9ZQ==
-
-ahooks@^3.7.5:
-  version "3.7.7"
-  resolved "https://registry.npmjs.org/ahooks/-/ahooks-3.7.7.tgz"
-  integrity sha512-5e5WlPq81Y84UnTLOKIQeq2cJw4aa7yj8fR2Nb/oMmXPrWMjIMCbPS1o+fpxSfCaNA3AzOnnMc8AehWRZltkJQ==
+ahooks@^3.8.1:
+  version "3.8.4"
+  resolved "https://registry.npmjs.org/ahooks/-/ahooks-3.8.4.tgz"
+  integrity sha512-39wDEw2ZHvypaT14EpMMk4AzosHWt0z9bulY0BeDsvc9PqJEV+Kjh/4TZfftSsotBMq52iYIOFPd3PR56e0ZJg==
   dependencies:
     "@babel/runtime" "^7.21.0"
-    "@types/js-cookie" "^2.x.x"
-    ahooks-v3-count "^1.0.0"
     dayjs "^1.9.1"
     intersection-observer "^0.12.0"
-    js-cookie "^2.x.x"
+    js-cookie "^3.0.5"
     lodash "^4.17.21"
+    react-fast-compare "^3.2.2"
     resize-observer-polyfill "^1.5.1"
     screenfull "^5.0.0"
     tslib "^2.4.1"
@@ -3925,7 +3909,7 @@ ajv-keywords@^5.1.0:
   dependencies:
     fast-deep-equal "^3.1.3"
 
-ajv@^6.12.4, ajv@^6.12.5:
+ajv@^6.12.4, ajv@^6.12.5, ajv@^6.9.1:
   version "6.12.6"
   resolved "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz"
   integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==
@@ -3935,7 +3919,7 @@ ajv@^6.12.4, ajv@^6.12.5:
     json-schema-traverse "^0.4.1"
     uri-js "^4.2.2"
 
-ajv@^8.0.0, ajv@^8.9.0:
+ajv@^8.0.0:
   version "8.17.1"
   resolved "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz"
   integrity sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==
@@ -3945,13 +3929,30 @@ ajv@^8.0.0, ajv@^8.9.0:
     json-schema-traverse "^1.0.0"
     require-from-string "^2.0.2"
 
-ansi-escapes@^4.2.1, ansi-escapes@^4.3.0:
+ajv@^8.8.2, ajv@^8.9.0:
+  version "8.17.1"
+  resolved "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz"
+  integrity sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==
+  dependencies:
+    fast-deep-equal "^3.1.3"
+    fast-uri "^3.0.1"
+    json-schema-traverse "^1.0.0"
+    require-from-string "^2.0.2"
+
+ansi-escapes@^4.2.1:
   version "4.3.2"
   resolved "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-4.3.2.tgz"
   integrity sha512-gKXj5ALrKWQLsYG9jlTRmR/xKluxHV+Z9QEwNIgCfM1/uwPMCuzVVnh5mwTd+OuBZcwSIMbqssNWRm1lE51QaQ==
   dependencies:
     type-fest "^0.21.3"
 
+ansi-escapes@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.npmjs.org/ansi-escapes/-/ansi-escapes-7.0.0.tgz"
+  integrity sha512-GdYO7a61mR0fOlAsvC9/rIHf7L96sBc6dEWzeOu+KAea5bZyQRPIpojrVoI4AXGJS/ycu/fBTdLrUkA4ODrvjw==
+  dependencies:
+    environment "^1.0.0"
+
 ansi-html-community@0.0.8:
   version "0.0.8"
   resolved "https://registry.npmjs.org/ansi-html-community/-/ansi-html-community-0.0.8.tgz"
@@ -3989,6 +3990,16 @@ ansi-styles@^6.0.0:
   resolved "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz"
   integrity sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==
 
+ansi-styles@^6.1.0:
+  version "6.2.1"
+  resolved "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz"
+  integrity sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==
+
+ansi-styles@^6.2.1:
+  version "6.2.1"
+  resolved "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz"
+  integrity sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==
+
 any-promise@^1.0.0:
   version "1.3.0"
   resolved "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz"
@@ -4002,18 +4013,10 @@ anymatch@^3.0.3, anymatch@~3.1.2:
     normalize-path "^3.0.0"
     picomatch "^2.0.4"
 
-"aproba@^1.0.3 || ^2.0.0":
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/aproba/-/aproba-2.0.0.tgz"
-  integrity sha512-lYe4Gx7QT+MKGbDsA+Z+he/Wtef0BiwDOlK/XkBrdfsh9J/jPPXbX0tE9x9cl27Tmu5gg3QUbUrQYa/y+KOHPQ==
-
-are-we-there-yet@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-2.0.0.tgz"
-  integrity sha512-Ci/qENmwHnsYo9xKIcUJN5LeDKdJ6R1Z1j9V/J5wyq8nh/mYPEpIKJbBZXtZjG04HiK7zV/p6Vs9952MrMeUIw==
-  dependencies:
-    delegates "^1.0.0"
-    readable-stream "^3.6.0"
+are-docs-informative@^0.0.2:
+  version "0.0.2"
+  resolved "https://registry.npmjs.org/are-docs-informative/-/are-docs-informative-0.0.2.tgz"
+  integrity sha512-ixiS0nLNNG5jNQzgZJNoUpBKdo9yTYZMGJ+QgT2jmjR7G7+QHRCc4v6LQ3NgE7EBJq+o0ams3waJwkrlBom8Ig==
 
 arg@^4.1.0:
   version "4.1.3"
@@ -4037,49 +4040,63 @@ argparse@^2.0.1:
   resolved "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz"
   integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
 
-aria-query@5.3.0, aria-query@^5.0.0, aria-query@^5.1.3:
+aria-query@^5.0.0, aria-query@5.3.0:
   version "5.3.0"
   resolved "https://registry.npmjs.org/aria-query/-/aria-query-5.3.0.tgz"
   integrity sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==
   dependencies:
     dequal "^2.0.3"
 
-array-buffer-byte-length@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.0.tgz"
-  integrity sha512-LPuwb2P+NrQw3XhxGc36+XSvuBPopovXYTR9Ew++Du9Yb/bx5AzBfrIsBoj0EZUifjQU+sHL21sseZ3jerWO/A==
-  dependencies:
-    call-bind "^1.0.2"
-    is-array-buffer "^3.0.1"
+aria-query@^5.3.2:
+  version "5.3.2"
+  resolved "https://registry.npmjs.org/aria-query/-/aria-query-5.3.2.tgz"
+  integrity sha512-COROpnaoap1E2F000S62r6A60uHZnmlvomhfyT2DlTcrY1OrBKn2UhH7qn5wTC9zMvD0AY7csdPSNwKP+7WiQw==
 
-array-includes@^3.1.5, array-includes@^3.1.6, array-includes@^3.1.7:
-  version "3.1.7"
-  resolved "https://registry.npmjs.org/array-includes/-/array-includes-3.1.7.tgz"
-  integrity sha512-dlcsNBIiWhPkHdOEEKnehA+RNUWDc4UqFtnIXU4uuYDPtA4LDkr7qip2p0VvFAEXNDr0yWZ9PJyIRiGjRLQzwQ==
+array-buffer-byte-length@^1.0.1, array-buffer-byte-length@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.2.tgz"
+  integrity sha512-LHE+8BuR7RYGDKvnrmcuSq3tDcKv9OFEXQt/HpbZhY7V6h0zlUXutnAD82GiFx9rdieCMjkvtcsPqBwgUl1Iiw==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    get-intrinsic "^1.2.1"
+    call-bound "^1.0.3"
+    is-array-buffer "^3.0.5"
+
+array-includes@^3.1.6, array-includes@^3.1.8:
+  version "3.1.8"
+  resolved "https://registry.npmjs.org/array-includes/-/array-includes-3.1.8.tgz"
+  integrity sha512-itaWrbYbqpGXkGhZPGUulwnhVf5Hpy1xiCFsGqyIGglbBxmG5vSjxQen3/WGOjPpNEv1RtBLKxbmVXm8HpJStQ==
+  dependencies:
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.2"
+    es-object-atoms "^1.0.0"
+    get-intrinsic "^1.2.4"
     is-string "^1.0.7"
 
-array-union@^2.1.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/array-union/-/array-union-2.1.0.tgz"
-  integrity sha512-HGyxoOTYUyCM6stUe6EJgnd4EoewAI7zMdfqO+kGjnlZmBDz/cR5pf8r/cR4Wq60sL/p0IkcjUEEPwS3GFrIyw==
-
-array.prototype.findlastindex@^1.2.3:
-  version "1.2.3"
-  resolved "https://registry.npmjs.org/array.prototype.findlastindex/-/array.prototype.findlastindex-1.2.3.tgz"
-  integrity sha512-LzLoiOMAxvy+Gd3BAq3B7VeIgPdo+Q8hthvKtXybMvRV0jrXfJM/t8mw7nNlpEcVlVUnCnM2KSX4XU5HmpodOA==
+array.prototype.findlast@^1.2.5:
+  version "1.2.5"
+  resolved "https://registry.npmjs.org/array.prototype.findlast/-/array.prototype.findlast-1.2.5.tgz"
+  integrity sha512-CVvd6FHg1Z3POpBLxO6E6zr+rSKEQ9L6rZHAaY7lLfhKsWYUBBOuMs0e9o24oopj6H+geRCX0YJ+TJLBK2eHyQ==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    es-shim-unscopables "^1.0.0"
-    get-intrinsic "^1.2.1"
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.2"
+    es-errors "^1.3.0"
+    es-object-atoms "^1.0.0"
+    es-shim-unscopables "^1.0.2"
 
-array.prototype.flat@^1.3.2:
+array.prototype.findlastindex@^1.2.5:
+  version "1.2.5"
+  resolved "https://registry.npmjs.org/array.prototype.findlastindex/-/array.prototype.findlastindex-1.2.5.tgz"
+  integrity sha512-zfETvRFA8o7EiNn++N5f/kaCw221hrpGsDmcpndVupkPzEc1Wuf3VgC0qby1BbHs7f5DVYjgtEU2LLh5bqeGfQ==
+  dependencies:
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.2"
+    es-errors "^1.3.0"
+    es-object-atoms "^1.0.0"
+    es-shim-unscopables "^1.0.2"
+
+array.prototype.flat@^1.3.1, array.prototype.flat@^1.3.2:
   version "1.3.2"
   resolved "https://registry.npmjs.org/array.prototype.flat/-/array.prototype.flat-1.3.2.tgz"
   integrity sha512-djYB+Zx2vLewY8RWlNCUdHjDXs2XOgm602S9E7P/UpHgfeHL00cRiIF+IN/G/aUJ7kGPb6yO/ErDI5V2s8iycA==
@@ -4089,39 +4106,39 @@ array.prototype.flat@^1.3.2:
     es-abstract "^1.22.1"
     es-shim-unscopables "^1.0.0"
 
-array.prototype.flatmap@^1.3.1, array.prototype.flatmap@^1.3.2:
-  version "1.3.2"
-  resolved "https://registry.npmjs.org/array.prototype.flatmap/-/array.prototype.flatmap-1.3.2.tgz"
-  integrity sha512-Ewyx0c9PmpcsByhSW4r+9zDU7sGjFc86qf/kKtuSCRdhfbk0SNLLkaT5qvcHnRGgc5NP/ly/y+qkXkqONX54CQ==
+array.prototype.flatmap@^1.3.2, array.prototype.flatmap@^1.3.3:
+  version "1.3.3"
+  resolved "https://registry.npmjs.org/array.prototype.flatmap/-/array.prototype.flatmap-1.3.3.tgz"
+  integrity sha512-Y7Wt51eKJSyi80hFrJCePGGNo5ktJCslFuboqJsbf57CCPcm5zztluPlc4/aD8sWsKvlwatezpV4U1efk8kpjg==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    es-shim-unscopables "^1.0.0"
+    call-bind "^1.0.8"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.5"
+    es-shim-unscopables "^1.0.2"
 
-array.prototype.tosorted@^1.1.1:
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/array.prototype.tosorted/-/array.prototype.tosorted-1.1.2.tgz"
-  integrity sha512-HuQCHOlk1Weat5jzStICBCd83NxiIMwqDg/dHEsoefabn/hJRj5pVdWcPUSpRrwhwxZOsQassMpgN/xRYFBMIg==
+array.prototype.tosorted@^1.1.4:
+  version "1.1.4"
+  resolved "https://registry.npmjs.org/array.prototype.tosorted/-/array.prototype.tosorted-1.1.4.tgz"
+  integrity sha512-p6Fx8B7b7ZhL/gmUsAy0D15WhvDccw3mnGNbZpi3pmeJdxtWsj2jEaI4Y6oo3XiHfzuSgPwKc04MYt6KgvC/wA==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    es-shim-unscopables "^1.0.0"
-    get-intrinsic "^1.2.1"
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.3"
+    es-errors "^1.3.0"
+    es-shim-unscopables "^1.0.2"
 
-arraybuffer.prototype.slice@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/arraybuffer.prototype.slice/-/arraybuffer.prototype.slice-1.0.2.tgz"
-  integrity sha512-yMBKppFur/fbHu9/6USUe03bZ4knMYiwFBcyiaXB8Go0qNehwX6inYPzK9U0NeQvGxKthcmHcaR8P5MStSRBAw==
+arraybuffer.prototype.slice@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.npmjs.org/arraybuffer.prototype.slice/-/arraybuffer.prototype.slice-1.0.4.tgz"
+  integrity sha512-BNoCY6SXXPQ7gF2opIP4GBE+Xw7U+pHMYKuzjgCN3GwiaIR09UUeKfheyIry77QtrCBlC0KK0q5/TER/tYh3PQ==
   dependencies:
-    array-buffer-byte-length "^1.0.0"
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    get-intrinsic "^1.2.1"
-    is-array-buffer "^3.0.2"
-    is-shared-array-buffer "^1.0.2"
+    array-buffer-byte-length "^1.0.1"
+    call-bind "^1.0.8"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.5"
+    es-errors "^1.3.0"
+    get-intrinsic "^1.2.6"
+    is-array-buffer "^3.0.4"
 
 asn1.js@^4.10.1:
   version "4.10.1"
@@ -4148,10 +4165,10 @@ assertion-error@^2.0.1:
   resolved "https://registry.npmjs.org/assertion-error/-/assertion-error-2.0.1.tgz"
   integrity sha512-Izi8RQcffqCeNVgFigKli1ssklIbpHnCYc6AknXGYoB6grJqyeby7jv12JUQgmTAnIDnbck1uxksT4dzN3PWBA==
 
-ast-types-flow@^0.0.7:
-  version "0.0.7"
-  resolved "https://registry.npmjs.org/ast-types-flow/-/ast-types-flow-0.0.7.tgz"
-  integrity sha512-eBvWn1lvIApYMhzQMsu9ciLfkBY499mFZlNqG+/9WR7PVlroQw0vG30cOQQbaKz3sCEc44TAOu2ykzqXSNnwag==
+ast-types-flow@^0.0.8:
+  version "0.0.8"
+  resolved "https://registry.npmjs.org/ast-types-flow/-/ast-types-flow-0.0.8.tgz"
+  integrity sha512-OH/2E5Fg20h2aPrbe+QL8JZQFko0YZaF+j4mnQ7BGhfavO7OpSLa8a0y9sBwomHdSbkhTS8TQNayBfnW5DwbvQ==
 
 ast-types@^0.16.1:
   version "0.16.1"
@@ -4160,11 +4177,6 @@ ast-types@^0.16.1:
   dependencies:
     tslib "^2.0.1"
 
-astral-regex@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/astral-regex/-/astral-regex-2.0.0.tgz"
-  integrity sha512-Z7tMw1ytTXt5jqMcOP+OQteU1VuNK9Y02uuJtKQ1Sv69jXQKKg5cibLwGJow8yzZP+eAc18EmLGPal0bp36rvQ==
-
 astring@^1.8.0:
   version "1.8.6"
   resolved "https://registry.npmjs.org/astring/-/astring-1.8.6.tgz"
@@ -4177,46 +4189,39 @@ async@^2.6.4:
   dependencies:
     lodash "^4.17.14"
 
-asynciterator.prototype@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/asynciterator.prototype/-/asynciterator.prototype-1.0.0.tgz"
-  integrity sha512-wwHYEIS0Q80f5mosx3L/dfG5t5rjEa9Ft51GTaNt862EnpyGHpgz2RkZvLPp1oF5TnAiTohkEKVEu8pQPJI7Vg==
-  dependencies:
-    has-symbols "^1.0.3"
-
 asynckit@^0.4.0:
   version "0.4.0"
   resolved "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz"
   integrity sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==
 
-autoprefixer@^10.4.14:
-  version "10.4.14"
-  resolved "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.14.tgz"
-  integrity sha512-FQzyfOsTlwVzjHxKEqRIAdJx9niO6VCBCoEwax/VLSoQF29ggECcPuBqUMZ+u8jCZOPSy8b8/8KnuFbp0SaFZQ==
+autoprefixer@^10.4.20:
+  version "10.4.20"
+  resolved "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.20.tgz"
+  integrity sha512-XY25y5xSv/wEoqzDyXXME4AFfkZI0P23z6Fs3YgymDnKJkCGOnkL0iTxCa85UTqaSgfcqyf3UA6+c7wUvx/16g==
   dependencies:
-    browserslist "^4.21.5"
-    caniuse-lite "^1.0.30001464"
-    fraction.js "^4.2.0"
+    browserslist "^4.23.3"
+    caniuse-lite "^1.0.30001646"
+    fraction.js "^4.3.7"
     normalize-range "^0.1.2"
-    picocolors "^1.0.0"
+    picocolors "^1.0.1"
     postcss-value-parser "^4.2.0"
 
-available-typed-arrays@^1.0.5:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.5.tgz"
-  integrity sha512-DMD0KiN46eipeziST1LPP/STfDU0sufISXmjSgvVsoU2tqxctQeASejWcfNtxYKqETM1UxQ8sp2OrSBWpHY6sw==
-
-axe-core@^4.6.2:
-  version "4.7.2"
-  resolved "https://registry.npmjs.org/axe-core/-/axe-core-4.7.2.tgz"
-  integrity sha512-zIURGIS1E1Q4pcrMjp+nnEh+16G56eG/MUllJH8yEvw7asDo7Ac9uhC9KIH5jzpITueEZolfYglnCGIuSBz39g==
-
-axobject-query@^3.1.1:
-  version "3.1.1"
-  resolved "https://registry.npmjs.org/axobject-query/-/axobject-query-3.1.1.tgz"
-  integrity sha512-goKlv8DZrK9hUh975fnHzhNIO4jUnFCfv/dszV5VwUGDFjI6vQ2VwoyjYjYNEbBE8AH87TduWP5uyDR1D+Iteg==
+available-typed-arrays@^1.0.7:
+  version "1.0.7"
+  resolved "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.7.tgz"
+  integrity sha512-wvUjBtSGN7+7SjNpq/9M2Tg350UZD3q62IFZLbRAR1bSMlCo1ZaeW+BJ+D090e4hIIZLBcTDWe4Mh4jvUDajzQ==
   dependencies:
-    deep-equal "^2.0.5"
+    possible-typed-array-names "^1.0.0"
+
+axe-core@^4.10.0:
+  version "4.10.2"
+  resolved "https://registry.npmjs.org/axe-core/-/axe-core-4.10.2.tgz"
+  integrity sha512-RE3mdQ7P3FRSe7eqCWoeQ/Z9QXrtniSjp1wUjt5nRC3WIpz5rSCve6o3fsZ2aCpJtrZjSZgjwXAoTO5k4tEI0w==
+
+axobject-query@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/axobject-query/-/axobject-query-4.1.0.tgz"
+  integrity sha512-qIj0G9wZbMGNLjLmg1PT6v2mE9AH2zlnADJD/2tC6E00hgmhUOfEB6greHPAfLRSufHqROIUTkw6E+M3lH0PTQ==
 
 babel-jest@^29.7.0:
   version "29.7.0"
@@ -4325,6 +4330,11 @@ base64-js@^1.3.1:
   resolved "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz"
   integrity sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==
 
+before-after-hook@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.npmjs.org/before-after-hook/-/before-after-hook-3.0.2.tgz"
+  integrity sha512-Nik3Sc0ncrMK4UUdXQmAnRtzmNQTAAXmXIopizwZ1W1t8QmfJj+zL4OA2I7XPTPW5z5TDqv4hRo/JzouDJnX3A==
+
 better-opn@^3.0.2:
   version "3.0.2"
   resolved "https://registry.npmjs.org/better-opn/-/better-opn-3.0.2.tgz"
@@ -4354,7 +4364,22 @@ bing-translate-api@^4.0.2:
   dependencies:
     got "^11.8.6"
 
-bn.js@^4.0.0, bn.js@^4.1.0, bn.js@^4.11.9:
+birecord@^0.1.1:
+  version "0.1.1"
+  resolved "https://registry.npmjs.org/birecord/-/birecord-0.1.1.tgz"
+  integrity sha512-VUpsf/qykW0heRlC8LooCq28Kxn3mAqKohhDG/49rrsQ1dT1CXyj/pgXS+5BSRzFTR/3DyIBOqQOrGyZOh71Aw==
+
+bn.js@^4.0.0:
+  version "4.12.0"
+  resolved "https://registry.npmjs.org/bn.js/-/bn.js-4.12.0.tgz"
+  integrity sha512-c98Bf3tPniI+scsdk237ku1Dc3ujXQTSgyiPUDEOe7tRkhrqridvh8klBv0HCEso1OLOYcHuCv/cS6DNxKH+ZA==
+
+bn.js@^4.1.0:
+  version "4.12.0"
+  resolved "https://registry.npmjs.org/bn.js/-/bn.js-4.12.0.tgz"
+  integrity sha512-c98Bf3tPniI+scsdk237ku1Dc3ujXQTSgyiPUDEOe7tRkhrqridvh8klBv0HCEso1OLOYcHuCv/cS6DNxKH+ZA==
+
+bn.js@^4.11.9:
   version "4.12.0"
   resolved "https://registry.npmjs.org/bn.js/-/bn.js-4.12.0.tgz"
   integrity sha512-c98Bf3tPniI+scsdk237ku1Dc3ujXQTSgyiPUDEOe7tRkhrqridvh8klBv0HCEso1OLOYcHuCv/cS6DNxKH+ZA==
@@ -4384,6 +4409,13 @@ brace-expansion@^1.1.7:
     balanced-match "^1.0.0"
     concat-map "0.0.1"
 
+brace-expansion@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz"
+  integrity sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==
+  dependencies:
+    balanced-match "^1.0.0"
+
 braces@^3.0.3, braces@~3.0.2:
   version "3.0.3"
   resolved "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz"
@@ -4464,7 +4496,7 @@ browserify-zlib@^0.2.0:
   dependencies:
     pako "~1.0.5"
 
-browserslist@^4.21.5, browserslist@^4.24.0, browserslist@^4.24.2:
+browserslist@^4.23.3, browserslist@^4.24.0, browserslist@^4.24.2, "browserslist@>= 4.21.0":
   version "4.24.2"
   resolved "https://registry.npmjs.org/browserslist/-/browserslist-4.24.2.tgz"
   integrity sha512-ZIc+Q62revdMcqC6aChtW4jz3My3klmCO1fEmINZY/8J3EpBg5/A/D0AKmBveUh6pgoeycoMkVMko84tuYS+Gg==
@@ -4509,13 +4541,6 @@ builtin-status-codes@^3.0.0:
   resolved "https://registry.npmjs.org/builtin-status-codes/-/builtin-status-codes-3.0.0.tgz"
   integrity sha512-HpGFw18DgFWlncDfjTa2rcQ4W88O1mC8e8yZ2AvQY5KDaktSTwo+KRf6nHK6FRI5FyRyb/5T6+TSxfP7QyGsmQ==
 
-builtins@^5.0.1:
-  version "5.0.1"
-  resolved "https://registry.npmjs.org/builtins/-/builtins-5.0.1.tgz"
-  integrity sha512-qwVpFEHNfhYJIzNRBvd2C1kyo6jz3ZSMPyyuR47OPdiKWlbYnZNyDWuyR175qDnAJLiCo5fBBqPb3RiXgWlkOQ==
-  dependencies:
-    semver "^7.0.0"
-
 bundle-name@^3.0.0:
   version "3.0.0"
   resolved "https://registry.npmjs.org/bundle-name/-/bundle-name-3.0.0.tgz"
@@ -4548,16 +4573,31 @@ cacheable-request@^7.0.2:
     normalize-url "^6.0.1"
     responselike "^2.0.0"
 
-call-bind@^1.0.0, call-bind@^1.0.2, call-bind@^1.0.4, call-bind@^1.0.5, call-bind@^1.0.7:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/call-bind/-/call-bind-1.0.7.tgz"
-  integrity sha512-GHTSNSYICQ7scH7sZ+M2rFopRoLh8t2bLSW6BbgrtLsahOIB5iyAVJf9GjWK3cYTDaMj4XdBpM1cA6pIS0Kv2w==
+call-bind-apply-helpers@^1.0.0, call-bind-apply-helpers@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.1.tgz"
+  integrity sha512-BhYE+WDaywFg2TBWYNXAE+8B1ATnThNBqXHP5nQu0jWJdVvY2hvkpyB3qOmtmDePiS5/BDQ8wASEWGMWRG148g==
   dependencies:
-    es-define-property "^1.0.0"
     es-errors "^1.3.0"
     function-bind "^1.1.2"
+
+call-bind@^1.0.0, call-bind@^1.0.2, call-bind@^1.0.7, call-bind@^1.0.8:
+  version "1.0.8"
+  resolved "https://registry.npmjs.org/call-bind/-/call-bind-1.0.8.tgz"
+  integrity sha512-oKlSFMcMwpUg2ednkhQ454wfWiU/ul3CkJe/PEHcTKuiX6RpbehUiFMXu13HalGZxfUwCQzZG747YXBn1im9ww==
+  dependencies:
+    call-bind-apply-helpers "^1.0.0"
+    es-define-property "^1.0.0"
     get-intrinsic "^1.2.4"
-    set-function-length "^1.2.1"
+    set-function-length "^1.2.2"
+
+call-bound@^1.0.2, call-bound@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.npmjs.org/call-bound/-/call-bound-1.0.3.tgz"
+  integrity sha512-YTd+6wGlNlPxSuri7Y6X8tY2dmm12UMH66RpKMhiX6rsk5wXXnYgbUcOt8kiS31/AjfoTOvCsE+w8nZQLQnzHA==
+  dependencies:
+    call-bind-apply-helpers "^1.0.1"
+    get-intrinsic "^1.2.6"
 
 callsites@^3.0.0:
   version "3.1.0"
@@ -4587,19 +4627,10 @@ camelcase@^6.2.0:
   resolved "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz"
   integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
 
-caniuse-lite@^1.0.30001464, caniuse-lite@^1.0.30001579, caniuse-lite@^1.0.30001669:
-  version "1.0.30001678"
-  resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001678.tgz"
-  integrity sha512-RR+4U/05gNtps58PEBDZcPWTgEO2MBeoPZ96aQcjmfkBWRIDfN451fW2qyDA9/+HohLLIL5GqiMwA+IB1pWarw==
-
-canvas@^2.11.2:
-  version "2.11.2"
-  resolved "https://registry.npmjs.org/canvas/-/canvas-2.11.2.tgz"
-  integrity sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==
-  dependencies:
-    "@mapbox/node-pre-gyp" "^1.0.0"
-    nan "^2.17.0"
-    simple-get "^3.0.3"
+caniuse-lite@^1.0.30001579, caniuse-lite@^1.0.30001646, caniuse-lite@^1.0.30001669:
+  version "1.0.30001690"
+  resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001690.tgz"
+  integrity sha512-5ExiE3qQN6oF8Clf8ifIDcMRCRE/dMGcETG/XGMD8/XiXm6HXQgQTh1yZYLXXpSOsEUlJm1Xr7kGULZTuGtP/w==
 
 case-sensitive-paths-webpack-plugin@^2.4.0:
   version "2.4.0"
@@ -4622,19 +4653,6 @@ chai@^5.1.1:
     loupe "^3.1.0"
     pathval "^2.0.0"
 
-chalk@4.1.1:
-  version "4.1.1"
-  resolved "https://registry.npmjs.org/chalk/-/chalk-4.1.1.tgz"
-  integrity sha512-diHzdDKxcU+bAsUboHLPEDQiw0qEe0qd7SYUn3HgcFlWgbDcfLGswOHYeGrHKzG9z6UYf01d9VFMfZxPM1xZSg==
-  dependencies:
-    ansi-styles "^4.1.0"
-    supports-color "^7.1.0"
-
-chalk@5.2.0:
-  version "5.2.0"
-  resolved "https://registry.npmjs.org/chalk/-/chalk-5.2.0.tgz"
-  integrity sha512-ree3Gqw/nazQAPuJJEy+avdl7QfZMcUvmHIKgEZkGL+xOBzRvup5Hxo6LHuMceSxOabuJLJm5Yp/92R9eMmMvA==
-
 chalk@^3.0.0:
   version "3.0.0"
   resolved "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz"
@@ -4651,6 +4669,19 @@ chalk@^4.0.0, chalk@^4.1.0, chalk@^4.1.1, chalk@^4.1.2:
     ansi-styles "^4.1.0"
     supports-color "^7.1.0"
 
+chalk@~5.3.0:
+  version "5.3.0"
+  resolved "https://registry.npmjs.org/chalk/-/chalk-5.3.0.tgz"
+  integrity sha512-dLitG79d+GV1Nb/VYcCDFivJeK1hiukt9QjRNVOsUtTy1rR1YJsmpGGTZ3qJos+uw7WmWF4wUwBd9jxjocFC2w==
+
+chalk@4.1.1:
+  version "4.1.1"
+  resolved "https://registry.npmjs.org/chalk/-/chalk-4.1.1.tgz"
+  integrity sha512-diHzdDKxcU+bAsUboHLPEDQiw0qEe0qd7SYUn3HgcFlWgbDcfLGswOHYeGrHKzG9z6UYf01d9VFMfZxPM1xZSg==
+  dependencies:
+    ansi-styles "^4.1.0"
+    supports-color "^7.1.0"
+
 char-regex@^1.0.2:
   version "1.0.2"
   resolved "https://registry.npmjs.org/char-regex/-/char-regex-1.0.2.tgz"
@@ -4703,7 +4734,7 @@ chevrotain-allstar@~0.3.0:
   dependencies:
     lodash-es "^4.17.21"
 
-chevrotain@~11.0.3:
+chevrotain@^11.0.0, chevrotain@~11.0.3:
   version "11.0.3"
   resolved "https://registry.npmjs.org/chevrotain/-/chevrotain-11.0.3.tgz"
   integrity sha512-ci2iJH6LeIkvP9eJW6gpueU8cnZhv85ELY8w8WiFtNjMHA5ad6pQLaJo9mEly/9qUyCpvqX8/POVUTf18/HFdw==
@@ -4715,10 +4746,10 @@ chevrotain@~11.0.3:
     "@chevrotain/utils" "11.0.3"
     lodash-es "4.17.21"
 
-"chokidar@>=3.0.0 <4.0.0", chokidar@^3.5.3:
-  version "3.5.3"
-  resolved "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz"
-  integrity sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==
+chokidar@^3.5.3, chokidar@^3.6.0:
+  version "3.6.0"
+  resolved "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz"
+  integrity sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==
   dependencies:
     anymatch "~3.1.2"
     braces "~3.0.2"
@@ -4730,26 +4761,33 @@ chevrotain@~11.0.3:
   optionalDependencies:
     fsevents "~2.3.2"
 
-chownr@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/chownr/-/chownr-2.0.0.tgz"
-  integrity sha512-bIomtDF5KGpdogkLd9VspvFzk9KfpyyGlS8YFVZl7TGPBHL5snIOnxeshwVgPteQ9b4Eydl+pVbIyE1DcvCWgQ==
+chokidar@^4.0.0:
+  version "4.0.3"
+  resolved "https://registry.npmjs.org/chokidar/-/chokidar-4.0.3.tgz"
+  integrity sha512-Qgzu8kfBvo+cA4962jnP1KkS6Dop5NS6g7R5LFYJr4b8Ub94PPQXUksCw9PvXoeXPRRddRNC5C1JQUR2SMGtnA==
+  dependencies:
+    readdirp "^4.0.1"
 
-chromatic@^11.4.0:
-  version "11.16.5"
-  resolved "https://registry.npmjs.org/chromatic/-/chromatic-11.16.5.tgz"
-  integrity sha512-wUEKXyu3GYmUg6Jq13uyRE9iC8ph5gbfDHdyHH0vQathkGQrcjHHdoxI/GXKIjU6d+xupLon8sxRV9NuZKTWbA==
+chromatic@^11.15.0:
+  version "11.20.2"
+  resolved "https://registry.npmjs.org/chromatic/-/chromatic-11.20.2.tgz"
+  integrity sha512-c+M3HVl5Y60c7ipGTZTyeWzWubRW70YsJ7PPDpO1D735ib8+Lu3yGF90j61pvgkXGngpkTPHZyBw83lcu2JMxA==
 
 chrome-trace-event@^1.0.2:
   version "1.0.3"
   resolved "https://registry.npmjs.org/chrome-trace-event/-/chrome-trace-event-1.0.3.tgz"
   integrity sha512-p3KULyQg4S7NIHixdwbGX+nFHkoBiA4YQmyWtjb8XngSKV124nJmRysgAeujbUVb15vh+RvFUfCPqU7rXk+hZg==
 
-ci-info@^3.2.0, ci-info@^3.6.1:
+ci-info@^3.2.0:
   version "3.8.0"
   resolved "https://registry.npmjs.org/ci-info/-/ci-info-3.8.0.tgz"
   integrity sha512-eXTggHWSooYhq49F2opQhuHWgzucfF2YgODK4e1566GQs5BIfP30B0oenwBJHfWxAs2fyPB1s7Mg949zLf61Yw==
 
+ci-info@^4.0.0:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/ci-info/-/ci-info-4.1.0.tgz"
+  integrity sha512-HutrvTNsF48wnxkzERIXOe5/mlcfFcbfCmwcg6CJnizbSue78AbDt+1cgl26zwn61WFxhcPykPfZrbqjGmBb4A==
+
 cipher-base@^1.0.0, cipher-base@^1.0.1, cipher-base@^1.0.3:
   version "1.0.4"
   resolved "https://registry.npmjs.org/cipher-base/-/cipher-base-1.0.4.tgz"
@@ -4775,16 +4813,16 @@ classcat@^5.0.3, classcat@^5.0.4:
   resolved "https://registry.npmjs.org/classcat/-/classcat-5.0.5.tgz"
   integrity sha512-JhZUT7JFcQy/EzW605k/ktHtncoo9vnyW/2GspNYwFlN1C/WmjuV/xtS04e9SOkL2sTdw0VAZ2UGCcQ9lR6p6w==
 
+classnames@^2.2.1, classnames@^2.3.2, classnames@^2.5.1:
+  version "2.5.1"
+  resolved "https://registry.npmjs.org/classnames/-/classnames-2.5.1.tgz"
+  integrity sha512-saHYOzhIQs6wy2sVxTM6bUDsQO4F50V9RQ22qBpEdCW+I+/Wmke2HOl6lS6dTpdxVhb88/I6+Hs+438c3lfUow==
+
 classnames@2.3.1:
   version "2.3.1"
   resolved "https://registry.npmjs.org/classnames/-/classnames-2.3.1.tgz"
   integrity sha512-OlQdbZ7gLfGarSqxesMesDa5uz7KFbID8Kpq/SxIoNGDqY8lSYs0D+hhtBXhcdB3rcbXArFr7vlHheLk1voeNA==
 
-classnames@^2.2.1, classnames@^2.3.2:
-  version "2.3.2"
-  resolved "https://registry.npmjs.org/classnames/-/classnames-2.3.2.tgz"
-  integrity sha512-CSbhY4cFEJRe6/GQzIk5qXZ4Jeg5pcsP7b5peFSDpffpe1cqjASH/n9UTjBwOp6XpMSTwQ8Za2K5V02ueA7Tmw==
-
 clean-css@^5.2.2:
   version "5.3.3"
   resolved "https://registry.npmjs.org/clean-css/-/clean-css-5.3.3.tgz"
@@ -4799,35 +4837,22 @@ clean-regexp@^1.0.0:
   dependencies:
     escape-string-regexp "^1.0.5"
 
-clean-stack@^2.0.0:
-  version "2.2.0"
-  resolved "https://registry.npmjs.org/clean-stack/-/clean-stack-2.2.0.tgz"
-  integrity sha512-4diC9HaTE+KRAMWhDhrGOECgWZxoevMc5TlkObMqNSsVU62PYzXZ/SMTjzyGAFF1YusgxGcSWTEXBhp0CPwQ1A==
-
-cli-cursor@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/cli-cursor/-/cli-cursor-3.1.0.tgz"
-  integrity sha512-I/zHAwsKf9FqGoXM4WWRACob9+SNukZTd94DWF57E4toouRulbCxcUh6RKUEOQlYTHJnzkPMySvPNaaSLNfLZw==
+cli-cursor@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/cli-cursor/-/cli-cursor-5.0.0.tgz"
+  integrity sha512-aCj4O5wKyszjMmDT4tZj93kxyydN/K5zPWSCe6/0AV/AA1pqe5ZBIw0a2ZfPQV7lL5/yb5HsUreJ6UFAF1tEQw==
   dependencies:
-    restore-cursor "^3.1.0"
+    restore-cursor "^5.0.0"
 
-cli-truncate@^2.1.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/cli-truncate/-/cli-truncate-2.1.0.tgz"
-  integrity sha512-n8fOixwDD6b/ObinzTrp1ZKFzbgvKZvuz/TvejnLn1aQfC6r52XEx85FmuC+3HI+JM7coBRXUvNqEU2PHVrHpg==
-  dependencies:
-    slice-ansi "^3.0.0"
-    string-width "^4.2.0"
-
-cli-truncate@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/cli-truncate/-/cli-truncate-3.1.0.tgz"
-  integrity sha512-wfOBkjXteqSnI59oPcJkcPl/ZmwvMMOj340qUIY1SKZCv0B9Cf4D4fAucRkIKQmsIuYK3x1rrgU7MeGRruiuiA==
+cli-truncate@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.npmjs.org/cli-truncate/-/cli-truncate-4.0.0.tgz"
+  integrity sha512-nPdaFdQ0h/GEigbPClz11D0v/ZJEwxmeVZGeMo3Z5StPtUTkA9o1lD6QwoirYiSDzbcwn2XcjwmCp68W1IS4TA==
   dependencies:
     slice-ansi "^5.0.0"
-    string-width "^5.0.0"
+    string-width "^7.0.0"
 
-client-only@0.0.1, client-only@^0.0.1:
+client-only@^0.0.1, client-only@0.0.1:
   version "0.0.1"
   resolved "https://registry.npmjs.org/client-only/-/client-only-0.0.1.tgz"
   integrity sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==
@@ -4848,16 +4873,21 @@ clone-response@^1.0.2:
   dependencies:
     mimic-response "^1.0.0"
 
-clsx@2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz"
-  integrity sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==
-
 clsx@^1.1.1:
   version "1.2.1"
   resolved "https://registry.npmjs.org/clsx/-/clsx-1.2.1.tgz"
   integrity sha512-EcR6r5a8bj6pu3ycsa/E/cKVGuTgZJZdsyUYHOksG/UHIiKfjxzRxYJpyVBwYaQeOvghal9fcc4PidlgzugAQg==
 
+clsx@^2.1.0:
+  version "2.1.1"
+  resolved "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz"
+  integrity sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==
+
+clsx@2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz"
+  integrity sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==
+
 co@^4.6.0:
   version "4.6.0"
   resolved "https://registry.npmjs.org/co/-/co-4.6.0.tgz"
@@ -4886,6 +4916,11 @@ code-inspector-plugin@^0.18.1:
     vite-code-inspector-plugin "0.18.2"
     webpack-code-inspector-plugin "0.18.2"
 
+collapse-white-space@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/collapse-white-space/-/collapse-white-space-2.1.0.tgz"
+  integrity sha512-loKTxY1zCOuG4j9f6EPnuyyYkf58RnhhWTvRoZEokgB+WbdXehfjFviyOVYkqzEWz1Q5kRiZdBYS5SwxbQYwzw==
+
 collect-v8-coverage@^1.0.0:
   version "1.0.2"
   resolved "https://registry.npmjs.org/collect-v8-coverage/-/collect-v8-coverage-1.0.2.tgz"
@@ -4911,11 +4946,6 @@ color-string@^1.9.0:
     color-name "^1.0.0"
     simple-swizzle "^0.2.2"
 
-color-support@^1.1.2:
-  version "1.1.3"
-  resolved "https://registry.npmjs.org/color-support/-/color-support-1.1.3.tgz"
-  integrity sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==
-
 color@^4.2.3:
   version "4.2.3"
   resolved "https://registry.npmjs.org/color/-/color-4.2.3.tgz"
@@ -4924,7 +4954,7 @@ color@^4.2.3:
     color-convert "^2.0.1"
     color-string "^1.9.0"
 
-colorette@^2.0.10, colorette@^2.0.19:
+colorette@^2.0.10, colorette@^2.0.20:
   version "2.0.20"
   resolved "https://registry.npmjs.org/colorette/-/colorette-2.0.20.tgz"
   integrity sha512-IfEDxwoWIjkeXL1eXcDiow4UbKjhLdq6/EuSVR9GMN7KVH3r9gQ83e73hsz1Nd1T3ijd5xv1wcWRYO+D6kCI2w==
@@ -4946,16 +4976,6 @@ comma-separated-tokens@^2.0.0:
   resolved "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz"
   integrity sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==
 
-commander@7:
-  version "7.2.0"
-  resolved "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz"
-  integrity sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==
-
-commander@^10.0.0:
-  version "10.0.1"
-  resolved "https://registry.npmjs.org/commander/-/commander-10.0.1.tgz"
-  integrity sha512-y4Mg2tXshplEbSGzx7amzPwKKOCGuoSRP/CjEdwwk0FOGlUbq6lKuoyDZTNZkmxHdJtp54hdfY/JUrdL7Xfdug==
-
 commander@^2.20.0:
   version "2.20.3"
   resolved "https://registry.npmjs.org/commander/-/commander-2.20.3.tgz"
@@ -4971,6 +4991,21 @@ commander@^8.3.0:
   resolved "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz"
   integrity sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww==
 
+commander@~12.1.0:
+  version "12.1.0"
+  resolved "https://registry.npmjs.org/commander/-/commander-12.1.0.tgz"
+  integrity sha512-Vw8qHK3bZM9y/P10u3Vib8o/DdkvA2OtPtZvD871QKjy74Wj1WSKFILMPRPSdUSx5RFK1arlJzEtA4PkFgnbuA==
+
+commander@7:
+  version "7.2.0"
+  resolved "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz"
+  integrity sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==
+
+comment-parser@^1.4.0, comment-parser@1.4.1:
+  version "1.4.1"
+  resolved "https://registry.npmjs.org/comment-parser/-/comment-parser-1.4.1.tgz"
+  integrity sha512-buhp5kePrmda3vhc5B9t7pUQXAb2Tnd0qgpkIhPhkHXxJpiPJ11H0ZEU0oBpJ2QztSbzG/ZxMj/CHsYJqRHmyg==
+
 common-path-prefix@^3.0.0:
   version "3.0.0"
   resolved "https://registry.npmjs.org/common-path-prefix/-/common-path-prefix-3.0.0.tgz"
@@ -4981,6 +5016,11 @@ commondir@^1.0.1:
   resolved "https://registry.npmjs.org/commondir/-/commondir-1.0.1.tgz"
   integrity sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg==
 
+compare-versions@^6.1.1:
+  version "6.1.1"
+  resolved "https://registry.npmjs.org/compare-versions/-/compare-versions-6.1.1.tgz"
+  integrity sha512-4hm4VPpIecmlg59CHXnRDnqGplJFrbLG4aFEl5vl6cK1u76ws3LLvX7ikFnTDl5vo39sjWD6AaDPYodJp/NNHg==
+
 concat-map@0.0.1:
   version "0.0.1"
   resolved "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz"
@@ -4996,11 +5036,6 @@ console-browserify@^1.2.0:
   resolved "https://registry.npmjs.org/console-browserify/-/console-browserify-1.2.0.tgz"
   integrity sha512-ZMkYO/LkF17QvCPqM0gxw8yUzigAOZOSWSHg91FH6orS7vcEj5dVZTidN2fQ14yBSdg97RqhSNwLUXInd52OTA==
 
-console-control-strings@^1.0.0, console-control-strings@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz"
-  integrity sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ==
-
 constants-browserify@^1.0.0:
   version "1.0.0"
   resolved "https://registry.npmjs.org/constants-browserify/-/constants-browserify-1.0.0.tgz"
@@ -5131,7 +5166,7 @@ cross-env@^7.0.3:
   dependencies:
     cross-spawn "^7.0.1"
 
-cross-spawn@^7.0.1, cross-spawn@^7.0.2, cross-spawn@^7.0.3:
+cross-spawn@^7.0.0, cross-spawn@^7.0.1, cross-spawn@^7.0.3, cross-spawn@^7.0.6:
   version "7.0.6"
   resolved "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz"
   integrity sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==
@@ -5239,11 +5274,18 @@ cytoscape-fcose@^2.2.0:
   dependencies:
     cose-base "^2.2.0"
 
-cytoscape@^3.29.2:
+cytoscape@^3.2.0, cytoscape@^3.29.2:
   version "3.30.3"
   resolved "https://registry.npmjs.org/cytoscape/-/cytoscape-3.30.3.tgz"
   integrity sha512-HncJ9gGJbVtw7YXtIs3+6YAFSSiKsom0amWc33Z7QbylbY2JGMrA0yz4EwrdTScZxnwclXeEZHzO5pxoy0ZE4g==
 
+d3-array@^3.2.0, "d3-array@2 - 3", "d3-array@2.10.0 - 3", "d3-array@2.5.0 - 3", d3-array@3:
+  version "3.2.4"
+  resolved "https://registry.npmjs.org/d3-array/-/d3-array-3.2.4.tgz"
+  integrity sha512-tdQAmyA18i4J7wprpYq8ClcxZy3SC31QMeByyCFyRt7BVHdREQZ5lpzoe5mFEYZUWe+oq8HBvk9JjpibyEV4Jg==
+  dependencies:
+    internmap "1 - 2"
+
 "d3-array@1 - 2":
   version "2.12.1"
   resolved "https://registry.npmjs.org/d3-array/-/d3-array-2.12.1.tgz"
@@ -5251,13 +5293,6 @@ cytoscape@^3.29.2:
   dependencies:
     internmap "^1.0.0"
 
-"d3-array@2 - 3", "d3-array@2.10.0 - 3", "d3-array@2.5.0 - 3", d3-array@3, d3-array@^3.2.0:
-  version "3.2.4"
-  resolved "https://registry.npmjs.org/d3-array/-/d3-array-3.2.4.tgz"
-  integrity sha512-tdQAmyA18i4J7wprpYq8ClcxZy3SC31QMeByyCFyRt7BVHdREQZ5lpzoe5mFEYZUWe+oq8HBvk9JjpibyEV4Jg==
-  dependencies:
-    internmap "1 - 2"
-
 d3-axis@3:
   version "3.0.0"
   resolved "https://registry.npmjs.org/d3-axis/-/d3-axis-3.0.0.tgz"
@@ -5305,7 +5340,7 @@ d3-delaunay@6:
   resolved "https://registry.npmjs.org/d3-dispatch/-/d3-dispatch-3.0.1.tgz"
   integrity sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==
 
-"d3-drag@2 - 3", d3-drag@3, d3-drag@^3.0.0:
+d3-drag@^3.0.0, "d3-drag@2 - 3", d3-drag@3:
   version "3.0.0"
   resolved "https://registry.npmjs.org/d3-drag/-/d3-drag-3.0.0.tgz"
   integrity sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==
@@ -5367,16 +5402,16 @@ d3-hierarchy@3:
   dependencies:
     d3-color "1 - 3"
 
+d3-path@^3.1.0, "d3-path@1 - 3", d3-path@3:
+  version "3.1.0"
+  resolved "https://registry.npmjs.org/d3-path/-/d3-path-3.1.0.tgz"
+  integrity sha512-p3KP5HCf/bvjBSSKuXid6Zqijx7wIfNW+J/maPs+iwR35at5JCbLUT0LzF1cnjbCHWhqzQTIN2Jpe8pRebIEFQ==
+
 d3-path@1:
   version "1.0.9"
   resolved "https://registry.npmjs.org/d3-path/-/d3-path-1.0.9.tgz"
   integrity sha512-VLaYcn81dtHVTjEHd8B+pbe9yHWpXKZUC87PzoFmsFrJqgFwDe/qxfp5MlfsfM1V5E/iVt0MmEbWQ7FVIXh/bg==
 
-"d3-path@1 - 3", d3-path@3, d3-path@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/d3-path/-/d3-path-3.1.0.tgz"
-  integrity sha512-p3KP5HCf/bvjBSSKuXid6Zqijx7wIfNW+J/maPs+iwR35at5JCbLUT0LzF1cnjbCHWhqzQTIN2Jpe8pRebIEFQ==
-
 d3-polygon@3:
   version "3.0.1"
   resolved "https://registry.npmjs.org/d3-polygon/-/d3-polygon-3.0.1.tgz"
@@ -5419,18 +5454,11 @@ d3-scale@4:
     d3-time "2.1.1 - 3"
     d3-time-format "2 - 4"
 
-"d3-selection@2 - 3", d3-selection@3, d3-selection@^3.0.0:
+d3-selection@^3.0.0, "d3-selection@2 - 3", d3-selection@3:
   version "3.0.0"
   resolved "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz"
   integrity sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==
 
-d3-shape@3:
-  version "3.2.0"
-  resolved "https://registry.npmjs.org/d3-shape/-/d3-shape-3.2.0.tgz"
-  integrity sha512-SaLBuwGm3MOViRq2ABk3eLoxwZELpH6zhl3FbAoJ7Vm1gofKx6El1Ib5z23NUEhF9AsGl7y+dzLe5Cw2AArGTA==
-  dependencies:
-    d3-path "^3.1.0"
-
 d3-shape@^1.2.0:
   version "1.3.7"
   resolved "https://registry.npmjs.org/d3-shape/-/d3-shape-1.3.7.tgz"
@@ -5438,6 +5466,13 @@ d3-shape@^1.2.0:
   dependencies:
     d3-path "1"
 
+d3-shape@3:
+  version "3.2.0"
+  resolved "https://registry.npmjs.org/d3-shape/-/d3-shape-3.2.0.tgz"
+  integrity sha512-SaLBuwGm3MOViRq2ABk3eLoxwZELpH6zhl3FbAoJ7Vm1gofKx6El1Ib5z23NUEhF9AsGl7y+dzLe5Cw2AArGTA==
+  dependencies:
+    d3-path "^3.1.0"
+
 "d3-time-format@2 - 4", d3-time-format@4:
   version "4.1.0"
   resolved "https://registry.npmjs.org/d3-time-format/-/d3-time-format-4.1.0.tgz"
@@ -5468,7 +5503,7 @@ d3-shape@^1.2.0:
     d3-interpolate "1 - 3"
     d3-timer "1 - 3"
 
-d3-zoom@3, d3-zoom@^3.0.0:
+d3-zoom@^3.0.0, d3-zoom@3:
   version "3.0.0"
   resolved "https://registry.npmjs.org/d3-zoom/-/d3-zoom-3.0.0.tgz"
   integrity sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==
@@ -5537,18 +5572,38 @@ data-urls@^3.0.2:
     whatwg-mimetype "^3.0.0"
     whatwg-url "^11.0.0"
 
-dayjs@^1.11.10, dayjs@^1.11.7, dayjs@^1.9.1:
+data-view-buffer@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/data-view-buffer/-/data-view-buffer-1.0.2.tgz"
+  integrity sha512-EmKO5V3OLXh1rtK2wgXRansaK1/mtVdTUEiEI0W8RkvgT05kfxaH29PliLnpLP73yYO6142Q72QNa8Wx/A5CqQ==
+  dependencies:
+    call-bound "^1.0.3"
+    es-errors "^1.3.0"
+    is-data-view "^1.0.2"
+
+data-view-byte-length@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/data-view-byte-length/-/data-view-byte-length-1.0.2.tgz"
+  integrity sha512-tuhGbE6CfTM9+5ANGf+oQb72Ky/0+s3xKUpHvShfiz2RxMFgFPjsXuRLBVMtvMs15awe45SRb83D6wH4ew6wlQ==
+  dependencies:
+    call-bound "^1.0.3"
+    es-errors "^1.3.0"
+    is-data-view "^1.0.2"
+
+data-view-byte-offset@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/data-view-byte-offset/-/data-view-byte-offset-1.0.1.tgz"
+  integrity sha512-BS8PfmtDGnrgYdOonGZQdLZslWIeCGFP9tpan0hi1Co2Zr2NKADsvGYA8XxuG/4UWgJ6Cjtv+YJnB6MM69QGlQ==
+  dependencies:
+    call-bound "^1.0.2"
+    es-errors "^1.3.0"
+    is-data-view "^1.0.1"
+
+dayjs@^1.11.10, dayjs@^1.11.13, dayjs@^1.9.1:
   version "1.11.13"
   resolved "https://registry.npmjs.org/dayjs/-/dayjs-1.11.13.tgz"
   integrity sha512-oaMBel6gjolK862uaPQOVTA7q3TZhuSvuMQAAglQDOWYO9A91IrAOUJEyKVlqJlHE0vq5p5UXxzdPfMH/x6xNg==
 
-debug@4, debug@^4.0.0, debug@^4.1.0, debug@^4.1.1, debug@^4.3.1, debug@^4.3.2, debug@^4.3.4:
-  version "4.3.4"
-  resolved "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz"
-  integrity sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==
-  dependencies:
-    ms "2.1.2"
-
 debug@^3.2.7:
   version "3.2.7"
   resolved "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz"
@@ -5556,6 +5611,20 @@ debug@^3.2.7:
   dependencies:
     ms "^2.1.1"
 
+debug@^4.0.0, debug@^4.1.0, debug@^4.1.1, debug@^4.3.1, debug@^4.3.2, debug@^4.3.4, debug@4:
+  version "4.3.4"
+  resolved "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz"
+  integrity sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==
+  dependencies:
+    ms "2.1.2"
+
+debug@^4.3.6:
+  version "4.4.0"
+  resolved "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz"
+  integrity sha512-6WTZ/IxCY/T6BALoZHaE4ctp9xm+Z5kY/pzYaCHRFeyVhojxlrm+46y68HA6hr0TcwEssoxNiDEUJQjfPZ/RYA==
+  dependencies:
+    ms "^2.1.3"
+
 debug@^4.4.0:
   version "4.4.0"
   resolved "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz"
@@ -5568,6 +5637,11 @@ decimal.js@^10.4.2, decimal.js@^10.4.3:
   resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.4.3.tgz#1044092884d245d1b7f65725fa4ad4c6f781cc23"
   integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
 
+decimal.js@^10.4.3:
+  version "10.4.3"
+  resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.4.3.tgz#1044092884d245d1b7f65725fa4ad4c6f781cc23"
+  integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
+
 decode-named-character-reference@^1.0.0:
   version "1.0.2"
   resolved "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz"
@@ -5575,13 +5649,6 @@ decode-named-character-reference@^1.0.0:
   dependencies:
     character-entities "^2.0.0"
 
-decompress-response@^4.2.0:
-  version "4.2.1"
-  resolved "https://registry.npmjs.org/decompress-response/-/decompress-response-4.2.1.tgz"
-  integrity sha512-jOSne2qbyE+/r8G1VU+G/82LBs2Fs4LAsTiLSHOCOMZQl2OKZ6i8i4IyHemTe+/yIXOtTcRQMzPcgyhoFlqPkw==
-  dependencies:
-    mimic-response "^2.0.0"
-
 decompress-response@^6.0.0:
   version "6.0.0"
   resolved "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz"
@@ -5604,30 +5671,6 @@ deep-eql@^5.0.1:
   resolved "https://registry.npmjs.org/deep-eql/-/deep-eql-5.0.2.tgz"
   integrity sha512-h5k/5U50IJJFpzfL6nO9jaaumfjO/f2NjK/oYB2Djzm4p9L+3T9qWpZqZ2hAbLPuuYq9wrU08WQyBTL5GbPk5Q==
 
-deep-equal@^2.0.5:
-  version "2.2.1"
-  resolved "https://registry.npmjs.org/deep-equal/-/deep-equal-2.2.1.tgz"
-  integrity sha512-lKdkdV6EOGoVn65XaOsPdH4rMxTZOnmFyuIkMjM1i5HHCbfjC97dawgTAy0deYNfuqUqW+Q5VrVaQYtUpSd6yQ==
-  dependencies:
-    array-buffer-byte-length "^1.0.0"
-    call-bind "^1.0.2"
-    es-get-iterator "^1.1.3"
-    get-intrinsic "^1.2.0"
-    is-arguments "^1.1.1"
-    is-array-buffer "^3.0.2"
-    is-date-object "^1.0.5"
-    is-regex "^1.1.4"
-    is-shared-array-buffer "^1.0.2"
-    isarray "^2.0.5"
-    object-is "^1.1.5"
-    object-keys "^1.1.1"
-    object.assign "^4.1.4"
-    regexp.prototype.flags "^1.5.0"
-    side-channel "^1.0.4"
-    which-boxed-primitive "^1.0.2"
-    which-collection "^1.0.1"
-    which-typed-array "^1.1.9"
-
 deep-is@^0.1.3:
   version "0.1.4"
   resolved "https://registry.npmjs.org/deep-is/-/deep-is-0.1.4.tgz"
@@ -5680,7 +5723,7 @@ define-lazy-prop@^3.0.0:
   resolved "https://registry.npmjs.org/define-lazy-prop/-/define-lazy-prop-3.0.0.tgz"
   integrity sha512-N+MeXYoqr3pOgn8xfyRPREN7gHakLYjhsHhWGT3fWAiL4IkAt0iDw14QiiEm2bE30c5XX5q0FtAA3CK5f9/BUg==
 
-define-properties@^1.1.3, define-properties@^1.1.4, define-properties@^1.2.0, define-properties@^1.2.1:
+define-properties@^1.1.3, define-properties@^1.2.0, define-properties@^1.2.1:
   version "1.2.1"
   resolved "https://registry.npmjs.org/define-properties/-/define-properties-1.2.1.tgz"
   integrity sha512-8QmQKqEASLd5nx0U1B1okLElbUuuttJ/AnYmRXbbbGDWh6uS208EjD4Xqq/I9wK7u0v6O08XhTWnt5XtEbR6Dg==
@@ -5701,11 +5744,6 @@ delayed-stream@~1.0.0:
   resolved "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz"
   integrity sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==
 
-delegates@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz"
-  integrity sha512-bd2L678uiWATM6m5Z1VzNCErI3jiGzt6HGY8OVICs40JQq/HALfbyNJmp0UDakEY4pMMaN0Ly5om/B1VI/+xfQ==
-
 dequal@^2.0.0, dequal@^2.0.2, dequal@^2.0.3:
   version "2.0.3"
   resolved "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz"
@@ -5719,7 +5757,12 @@ des.js@^1.0.0:
     inherits "^2.0.1"
     minimalistic-assert "^1.0.0"
 
-detect-libc@^2.0.0, detect-libc@^2.0.3:
+detect-libc@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.npmjs.org/detect-libc/-/detect-libc-1.0.3.tgz"
+  integrity sha512-pGjwhsmsp4kL2RTz08wcOlGN83otlqHeD/Z5T8GXZB+/YcpQ/dgo+lbU8ZsGxV0HIvqqxo9l7mqYwyYMD9bKDg==
+
+detect-libc@^2.0.3:
   version "2.0.3"
   resolved "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz"
   integrity sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==
@@ -5729,7 +5772,7 @@ detect-newline@^3.0.0:
   resolved "https://registry.npmjs.org/detect-newline/-/detect-newline-3.1.0.tgz"
   integrity sha512-TLz+x/vEXm/Y7P7wn1EJFNLxYpUD4TgMosxY6fAVJUnJMbupHBOncxyWUG9OpTaH9EBD7uFI5LfEgmMOc54DsA==
 
-devlop@^1.0.0:
+devlop@^1.0.0, devlop@^1.1.0:
   version "1.1.0"
   resolved "https://registry.npmjs.org/devlop/-/devlop-1.1.0.tgz"
   integrity sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA==
@@ -5751,11 +5794,6 @@ diff@^4.0.1:
   resolved "https://registry.npmjs.org/diff/-/diff-4.0.2.tgz"
   integrity sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==
 
-diff@^5.0.0:
-  version "5.1.0"
-  resolved "https://registry.npmjs.org/diff/-/diff-5.1.0.tgz"
-  integrity sha512-D+mk+qE8VC/PAUrlAU34N+VfXev0ghe5ywmpqrawphmVZc1bEfn56uo9qpyGp1p4xpzOHkSW4ztBd6L7Xx4ACw==
-
 diffie-hellman@^5.0.3:
   version "5.0.3"
   resolved "https://registry.npmjs.org/diffie-hellman/-/diffie-hellman-5.0.3.tgz"
@@ -5817,21 +5855,12 @@ dom-serializer@^1.0.1:
     domhandler "^4.2.0"
     entities "^2.0.0"
 
-dom-serializer@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz"
-  integrity sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==
-  dependencies:
-    domelementtype "^2.3.0"
-    domhandler "^5.0.2"
-    entities "^4.2.0"
-
 domain-browser@^4.22.0:
   version "4.23.0"
   resolved "https://registry.npmjs.org/domain-browser/-/domain-browser-4.23.0.tgz"
   integrity sha512-ArzcM/II1wCCujdCNyQjXrAFwS4mrLh4C7DZWlaI8mdh7h3BfKdNd3bKXITfl2PT9FtfQqaGvhi1vPRQPimjGA==
 
-domelementtype@^2.0.1, domelementtype@^2.2.0, domelementtype@^2.3.0:
+domelementtype@^2.0.1, domelementtype@^2.2.0:
   version "2.3.0"
   resolved "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz"
   integrity sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==
@@ -5850,13 +5879,6 @@ domhandler@^4.0.0, domhandler@^4.2.0, domhandler@^4.3.1:
   dependencies:
     domelementtype "^2.2.0"
 
-domhandler@^5.0.2, domhandler@^5.0.3:
-  version "5.0.3"
-  resolved "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz"
-  integrity sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==
-  dependencies:
-    domelementtype "^2.3.0"
-
 dompurify@^3.2.1:
   version "3.2.2"
   resolved "https://registry.npmjs.org/dompurify/-/dompurify-3.2.2.tgz"
@@ -5873,15 +5895,6 @@ domutils@^2.5.2, domutils@^2.8.0:
     domelementtype "^2.2.0"
     domhandler "^4.2.0"
 
-domutils@^3.0.1:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz"
-  integrity sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==
-  dependencies:
-    dom-serializer "^2.0.0"
-    domelementtype "^2.3.0"
-    domhandler "^5.0.3"
-
 dot-case@^3.0.4:
   version "3.0.4"
   resolved "https://registry.npmjs.org/dot-case/-/dot-case-3.0.4.tgz"
@@ -5895,6 +5908,20 @@ dotenv@^16.1.4, dotenv@^16.3.1:
   resolved "https://registry.npmjs.org/dotenv/-/dotenv-16.4.7.tgz"
   integrity sha512-47qPchRCykZC03FhkYAhrvwU4xDBFIj1QPqaarj6mdM/hgUzfPHcpkHJOn3mJAufFeeAxAzeGsr5X0M4k6fLZQ==
 
+dunder-proto@^1.0.0, dunder-proto@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz"
+  integrity sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==
+  dependencies:
+    call-bind-apply-helpers "^1.0.1"
+    es-errors "^1.3.0"
+    gopd "^1.2.0"
+
+eastasianwidth@^0.2.0:
+  version "0.2.0"
+  resolved "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz"
+  integrity sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA==
+
 echarts-for-react@^3.0.2:
   version "3.0.2"
   resolved "https://registry.npmjs.org/echarts-for-react/-/echarts-for-react-3.0.2.tgz"
@@ -5903,9 +5930,9 @@ echarts-for-react@^3.0.2:
     fast-deep-equal "^3.1.3"
     size-sensor "^1.0.1"
 
-echarts@^5.5.1:
+"echarts@^3.0.0 || ^4.0.0 || ^5.0.0", echarts@^5.5.1:
   version "5.5.1"
-  resolved "https://registry.yarnpkg.com/echarts/-/echarts-5.5.1.tgz#8dc9c68d0c548934bedcb5f633db07ed1dd2101c"
+  resolved "https://registry.npmjs.org/echarts/-/echarts-5.5.1.tgz"
   integrity sha512-Fce8upazaAXUVUVsjgV6mBnGuqgO+JNDlcgF79Dksy4+wgGpQB2lmYoO4TSweFg/mZITdpGHomw/cNBJZj1icA==
   dependencies:
     tslib "2.3.0"
@@ -5944,6 +5971,11 @@ emoji-mart@^5.5.2:
   resolved "https://registry.npmjs.org/emoji-mart/-/emoji-mart-5.5.2.tgz"
   integrity sha512-Sqc/nso4cjxhOwWJsp9xkVm8OF5c+mJLZJFoFfzRuKO+yWiN7K8c96xmtughYb0d/fZ8UC6cLIQ/p4BR6Pv3/A==
 
+emoji-regex@^10.3.0:
+  version "10.4.0"
+  resolved "https://registry.npmjs.org/emoji-regex/-/emoji-regex-10.4.0.tgz"
+  integrity sha512-EC+0oUMY1Rqm4O6LLrgjtYDvcVYTy7chDnM4Q7030tP4Kwj3u/pR6gP9ygnp2CJMK5Gq+9Q2oqmrFJAz01DXjw==
+
 emoji-regex@^8.0.0:
   version "8.0.0"
   resolved "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz"
@@ -5988,7 +6020,7 @@ entities@^2.0.0:
   resolved "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz"
   integrity sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==
 
-entities@^4.2.0, entities@^4.4.0, entities@^4.5.0:
+entities@^4.4.0, entities@^4.5.0:
   version "4.5.0"
   resolved "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz"
   integrity sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==
@@ -5998,6 +6030,11 @@ env-paths@^2.2.1:
   resolved "https://registry.npmjs.org/env-paths/-/env-paths-2.2.1.tgz"
   integrity sha512-+h1lkLKhZMTYjog1VEpJNG7NZJWcuc2DDk/qsqSTRRCOXiLjeQ1d1/udrUGhqMxUgAlwKNZ0cf2uqan5GLuS2A==
 
+environment@^1.0.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/environment/-/environment-1.1.0.tgz"
+  integrity sha512-xUtoPkMggbz0MPyPiIWr1Kp4aeWJjDZ6SMvURhimjdZgsRuDplF5/s9hcgGhyXMhs+6vpnuoiZ2kFiu3FMnS8Q==
+
 error-ex@^1.3.1:
   version "1.3.2"
   resolved "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz"
@@ -6012,127 +6049,147 @@ error-stack-parser@^2.0.6:
   dependencies:
     stackframe "^1.3.4"
 
-es-abstract@^1.20.4, es-abstract@^1.22.1:
-  version "1.22.3"
-  resolved "https://registry.npmjs.org/es-abstract/-/es-abstract-1.22.3.tgz"
-  integrity sha512-eiiY8HQeYfYH2Con2berK+To6GrK2RxbPawDkGq4UiCQQfZHb6wX9qQqkbpPqaxQFcl8d9QzZqo0tGE0VcrdwA==
+es-abstract@^1.17.5, es-abstract@^1.22.1, es-abstract@^1.23.2, es-abstract@^1.23.3, es-abstract@^1.23.5, es-abstract@^1.23.6:
+  version "1.23.7"
+  resolved "https://registry.npmjs.org/es-abstract/-/es-abstract-1.23.7.tgz"
+  integrity sha512-OygGC8kIcDhXX+6yAZRGLqwi2CmEXCbLQixeGUgYeR+Qwlppqmo7DIDr8XibtEBZp+fJcoYpoatp5qwLMEdcqQ==
   dependencies:
-    array-buffer-byte-length "^1.0.0"
-    arraybuffer.prototype.slice "^1.0.2"
-    available-typed-arrays "^1.0.5"
-    call-bind "^1.0.5"
-    es-set-tostringtag "^2.0.1"
-    es-to-primitive "^1.2.1"
-    function.prototype.name "^1.1.6"
-    get-intrinsic "^1.2.2"
-    get-symbol-description "^1.0.0"
-    globalthis "^1.0.3"
-    gopd "^1.0.1"
-    has-property-descriptors "^1.0.0"
-    has-proto "^1.0.1"
-    has-symbols "^1.0.3"
-    hasown "^2.0.0"
-    internal-slot "^1.0.5"
-    is-array-buffer "^3.0.2"
+    array-buffer-byte-length "^1.0.2"
+    arraybuffer.prototype.slice "^1.0.4"
+    available-typed-arrays "^1.0.7"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    data-view-buffer "^1.0.2"
+    data-view-byte-length "^1.0.2"
+    data-view-byte-offset "^1.0.1"
+    es-define-property "^1.0.1"
+    es-errors "^1.3.0"
+    es-object-atoms "^1.0.0"
+    es-set-tostringtag "^2.0.3"
+    es-to-primitive "^1.3.0"
+    function.prototype.name "^1.1.8"
+    get-intrinsic "^1.2.6"
+    get-symbol-description "^1.1.0"
+    globalthis "^1.0.4"
+    gopd "^1.2.0"
+    has-property-descriptors "^1.0.2"
+    has-proto "^1.2.0"
+    has-symbols "^1.1.0"
+    hasown "^2.0.2"
+    internal-slot "^1.1.0"
+    is-array-buffer "^3.0.5"
     is-callable "^1.2.7"
-    is-negative-zero "^2.0.2"
-    is-regex "^1.1.4"
-    is-shared-array-buffer "^1.0.2"
-    is-string "^1.0.7"
-    is-typed-array "^1.1.12"
-    is-weakref "^1.0.2"
-    object-inspect "^1.13.1"
+    is-data-view "^1.0.2"
+    is-regex "^1.2.1"
+    is-shared-array-buffer "^1.0.4"
+    is-string "^1.1.1"
+    is-typed-array "^1.1.15"
+    is-weakref "^1.1.0"
+    math-intrinsics "^1.1.0"
+    object-inspect "^1.13.3"
     object-keys "^1.1.1"
-    object.assign "^4.1.4"
-    regexp.prototype.flags "^1.5.1"
-    safe-array-concat "^1.0.1"
-    safe-regex-test "^1.0.0"
-    string.prototype.trim "^1.2.8"
-    string.prototype.trimend "^1.0.7"
-    string.prototype.trimstart "^1.0.7"
-    typed-array-buffer "^1.0.0"
-    typed-array-byte-length "^1.0.0"
-    typed-array-byte-offset "^1.0.0"
-    typed-array-length "^1.0.4"
-    unbox-primitive "^1.0.2"
-    which-typed-array "^1.1.13"
+    object.assign "^4.1.7"
+    regexp.prototype.flags "^1.5.3"
+    safe-array-concat "^1.1.3"
+    safe-regex-test "^1.1.0"
+    string.prototype.trim "^1.2.10"
+    string.prototype.trimend "^1.0.9"
+    string.prototype.trimstart "^1.0.8"
+    typed-array-buffer "^1.0.3"
+    typed-array-byte-length "^1.0.3"
+    typed-array-byte-offset "^1.0.4"
+    typed-array-length "^1.0.7"
+    unbox-primitive "^1.1.0"
+    which-typed-array "^1.1.18"
 
-es-define-property@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.0.tgz"
-  integrity sha512-jxayLKShrEqqzJ0eumQbVhTYQM27CfT1T35+gCgDFoL82JLsXqTJ76zv6A0YLOgEnLUMvLzsDsGIrl8NFpT2gQ==
-  dependencies:
-    get-intrinsic "^1.2.4"
+es-define-property@^1.0.0, es-define-property@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.1.tgz"
+  integrity sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g==
 
 es-errors@^1.3.0:
   version "1.3.0"
   resolved "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz"
   integrity sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==
 
-es-get-iterator@^1.1.3:
-  version "1.1.3"
-  resolved "https://registry.npmjs.org/es-get-iterator/-/es-get-iterator-1.1.3.tgz"
-  integrity sha512-sPZmqHBe6JIiTfN5q2pEi//TwxmAFHwj/XEuYjTuse78i8KxaqMTTzxPoFKuzRpDpTJ+0NAbpfenkmH2rePtuw==
+es-iterator-helpers@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/es-iterator-helpers/-/es-iterator-helpers-1.2.1.tgz"
+  integrity sha512-uDn+FE1yrDzyC0pCo961B2IHbdM8y/ACZsKD4dG6WqrjV53BADjwa7D+1aom2rsNVfLyDgU/eigvlJGJ08OQ4w==
   dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.1.3"
-    has-symbols "^1.0.3"
-    is-arguments "^1.1.1"
-    is-map "^2.0.2"
-    is-set "^2.0.2"
-    is-string "^1.0.7"
-    isarray "^2.0.5"
-    stop-iteration-iterator "^1.0.0"
-
-es-iterator-helpers@^1.0.12:
-  version "1.0.15"
-  resolved "https://registry.npmjs.org/es-iterator-helpers/-/es-iterator-helpers-1.0.15.tgz"
-  integrity sha512-GhoY8uYqd6iwUl2kgjTm4CZAf6oo5mHK7BPqx3rKgx893YSsy0LGHV6gfqqQvZt/8xM8xeOnfXBCfqclMKkJ5g==
-  dependencies:
-    asynciterator.prototype "^1.0.0"
-    call-bind "^1.0.2"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
     define-properties "^1.2.1"
-    es-abstract "^1.22.1"
-    es-set-tostringtag "^2.0.1"
-    function-bind "^1.1.1"
-    get-intrinsic "^1.2.1"
-    globalthis "^1.0.3"
-    has-property-descriptors "^1.0.0"
-    has-proto "^1.0.1"
-    has-symbols "^1.0.3"
-    internal-slot "^1.0.5"
-    iterator.prototype "^1.1.2"
-    safe-array-concat "^1.0.1"
+    es-abstract "^1.23.6"
+    es-errors "^1.3.0"
+    es-set-tostringtag "^2.0.3"
+    function-bind "^1.1.2"
+    get-intrinsic "^1.2.6"
+    globalthis "^1.0.4"
+    gopd "^1.2.0"
+    has-property-descriptors "^1.0.2"
+    has-proto "^1.2.0"
+    has-symbols "^1.1.0"
+    internal-slot "^1.1.0"
+    iterator.prototype "^1.1.4"
+    safe-array-concat "^1.1.3"
 
-es-module-lexer@^1.2.1, es-module-lexer@^1.5.0:
+es-module-lexer@^1.2.1, es-module-lexer@^1.5.0, es-module-lexer@^1.5.3:
   version "1.5.4"
   resolved "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-1.5.4.tgz"
   integrity sha512-MVNK56NiMrOwitFB7cqDwq0CQutbw+0BvLshJSse0MUNU+y1FC3bUS/AQg7oUng+/wKrrki7JfmwtVHkVfPLlw==
 
-es-set-tostringtag@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/es-set-tostringtag/-/es-set-tostringtag-2.0.1.tgz"
-  integrity sha512-g3OMbtlwY3QewlqAiMLI47KywjWZoEytKr8pf6iTC8uJq5bIAH52Z9pnQ8pVL6whrCto53JZDuUIsifGeLorTg==
-  dependencies:
-    get-intrinsic "^1.1.3"
-    has "^1.0.3"
-    has-tostringtag "^1.0.0"
-
-es-shim-unscopables@^1.0.0:
+es-object-atoms@^1.0.0:
   version "1.0.0"
-  resolved "https://registry.npmjs.org/es-shim-unscopables/-/es-shim-unscopables-1.0.0.tgz"
-  integrity sha512-Jm6GPcCdC30eMLbZ2x8z2WuRwAws3zTBBKuusffYVUrNj/GVSUAZ+xKMaUpfNDR5IbyNA5LJbaecoUVbmUcB1w==
+  resolved "https://registry.npmjs.org/es-object-atoms/-/es-object-atoms-1.0.0.tgz"
+  integrity sha512-MZ4iQ6JwHOBQjahnjwaC1ZtIBH+2ohjamzAO3oaHcXYup7qxjF2fixyH+Q71voWHeOkI2q/TnJao/KfXYIZWbw==
   dependencies:
-    has "^1.0.3"
+    es-errors "^1.3.0"
 
-es-to-primitive@^1.2.1:
-  version "1.2.1"
-  resolved "https://registry.npmjs.org/es-to-primitive/-/es-to-primitive-1.2.1.tgz"
-  integrity sha512-QCOllgZJtaUo9miYBcLChTUaHNjJF3PYs1VidD7AwiEj1kYxKeQTctLAezAOH5ZKRH0g2IgPn6KwB4IT8iRpvA==
+es-set-tostringtag@^2.0.3:
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/es-set-tostringtag/-/es-set-tostringtag-2.0.3.tgz"
+  integrity sha512-3T8uNMC3OQTHkFUsFq8r/BwAXLHvU/9O9mE0fBc/MY5iq/8H7ncvO947LmYA6ldWw9Uh8Yhf25zu6n7nML5QWQ==
   dependencies:
-    is-callable "^1.1.4"
-    is-date-object "^1.0.1"
-    is-symbol "^1.0.2"
+    get-intrinsic "^1.2.4"
+    has-tostringtag "^1.0.2"
+    hasown "^2.0.1"
+
+es-shim-unscopables@^1.0.0, es-shim-unscopables@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/es-shim-unscopables/-/es-shim-unscopables-1.0.2.tgz"
+  integrity sha512-J3yBRXCzDu4ULnQwxyToo/OjdMx6akgVC7K6few0a7F/0wLtmKKN7I73AH5T2836UuXRqN7Qg+IIUw/+YJksRw==
+  dependencies:
+    hasown "^2.0.0"
+
+es-to-primitive@^1.3.0:
+  version "1.3.0"
+  resolved "https://registry.npmjs.org/es-to-primitive/-/es-to-primitive-1.3.0.tgz"
+  integrity sha512-w+5mJ3GuFL+NjVtJlvydShqE1eN3h3PbI7/5LAsYJP/2qtuMXjfL2LpHSRqo4b4eSF5K/DH1JXKUAHSB2UW50g==
+  dependencies:
+    is-callable "^1.2.7"
+    is-date-object "^1.0.5"
+    is-symbol "^1.0.4"
+
+esast-util-from-estree@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/esast-util-from-estree/-/esast-util-from-estree-2.0.0.tgz"
+  integrity sha512-4CyanoAudUSBAn5K13H4JhsMH6L9ZP7XbLVe/dKybkxMO7eDyLsT8UHl9TRNrU2Gr9nz+FovfSIjuXWJ81uVwQ==
+  dependencies:
+    "@types/estree-jsx" "^1.0.0"
+    devlop "^1.0.0"
+    estree-util-visit "^2.0.0"
+    unist-util-position-from-estree "^2.0.0"
+
+esast-util-from-js@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/esast-util-from-js/-/esast-util-from-js-2.0.1.tgz"
+  integrity sha512-8Ja+rNJ0Lt56Pcf3TAmpBZjmx8ZcK5Ts4cAzIOjsjevg9oSXJnl6SUQ2EevU8tv3h6ZLWmoKL5H4fgWvdvfETw==
+  dependencies:
+    "@types/estree-jsx" "^1.0.0"
+    acorn "^8.0.0"
+    esast-util-from-estree "^2.0.0"
+    vfile-message "^4.0.0"
 
 esbuild-code-inspector-plugin@0.18.2:
   version "0.18.2"
@@ -6148,7 +6205,7 @@ esbuild-register@^3.5.0:
   dependencies:
     debug "^4.3.4"
 
-"esbuild@^0.18.0 || ^0.19.0 || ^0.20.0 || ^0.21.0 || ^0.22.0 || ^0.23.0 || ^0.24.0":
+"esbuild@^0.18.0 || ^0.19.0 || ^0.20.0 || ^0.21.0 || ^0.22.0 || ^0.23.0 || ^0.24.0", "esbuild@>=0.12 <1":
   version "0.24.0"
   resolved "https://registry.npmjs.org/esbuild/-/esbuild-0.24.0.tgz"
   integrity sha512-FuLPevChGDshgSicjisSooU0cemp/sGXR841D5LHMB7mTVOmsEHcAxaH3irL53+8YDIeVNQEySh4DaYU/iuPqQ==
@@ -6214,20 +6271,50 @@ escodegen@^2.0.0:
   optionalDependencies:
     source-map "~0.6.1"
 
-eslint-config-next@^14.0.4:
-  version "14.0.4"
-  resolved "https://registry.npmjs.org/eslint-config-next/-/eslint-config-next-14.0.4.tgz"
-  integrity sha512-9/xbOHEQOmQtqvQ1UsTQZpnA7SlDMBtuKJ//S4JnoyK3oGLhILKXdBgu/UO7lQo/2xOykQULS1qQ6p2+EpHgAQ==
+eslint-compat-utils@^0.5.1:
+  version "0.5.1"
+  resolved "https://registry.npmjs.org/eslint-compat-utils/-/eslint-compat-utils-0.5.1.tgz"
+  integrity sha512-3z3vFexKIEnjHE3zCMRo6fn/e44U7T1khUjg+Hp0ZQMCigh28rALD0nPFBcGZuiLC5rLZa2ubQHDRln09JfU2Q==
   dependencies:
-    "@next/eslint-plugin-next" "14.0.4"
-    "@rushstack/eslint-patch" "^1.3.3"
-    "@typescript-eslint/parser" "^5.4.2 || ^6.0.0"
+    semver "^7.5.4"
+
+eslint-compat-utils@^0.6.0:
+  version "0.6.4"
+  resolved "https://registry.npmjs.org/eslint-compat-utils/-/eslint-compat-utils-0.6.4.tgz"
+  integrity sha512-/u+GQt8NMfXO8w17QendT4gvO5acfxQsAKirAt0LVxDnr2N8YLCVbregaNc/Yhp7NM128DwCaRvr8PLDfeNkQw==
+  dependencies:
+    semver "^7.5.4"
+
+eslint-config-flat-gitignore@^0.3.0:
+  version "0.3.0"
+  resolved "https://registry.npmjs.org/eslint-config-flat-gitignore/-/eslint-config-flat-gitignore-0.3.0.tgz"
+  integrity sha512-0Ndxo4qGhcewjTzw52TK06Mc00aDtHNTdeeW2JfONgDcLkRO/n/BteMRzNVpLQYxdCC/dFEilfM9fjjpGIJ9Og==
+  dependencies:
+    "@eslint/compat" "^1.1.1"
+    find-up-simple "^1.0.0"
+
+eslint-config-next@^15.0.0:
+  version "15.1.2"
+  resolved "https://registry.npmjs.org/eslint-config-next/-/eslint-config-next-15.1.2.tgz"
+  integrity sha512-PrMm1/4zWSJ689wd/ypWIR5ZF1uvmp3EkgpgBV1Yu6PhEobBjXMGgT8bVNelwl17LXojO8D5ePFRiI4qXjsPRA==
+  dependencies:
+    "@next/eslint-plugin-next" "15.1.2"
+    "@rushstack/eslint-patch" "^1.10.3"
+    "@typescript-eslint/eslint-plugin" "^5.4.2 || ^6.0.0 || ^7.0.0 || ^8.0.0"
+    "@typescript-eslint/parser" "^5.4.2 || ^6.0.0 || ^7.0.0 || ^8.0.0"
     eslint-import-resolver-node "^0.3.6"
     eslint-import-resolver-typescript "^3.5.2"
-    eslint-plugin-import "^2.28.1"
-    eslint-plugin-jsx-a11y "^6.7.1"
-    eslint-plugin-react "^7.33.2"
-    eslint-plugin-react-hooks "^4.5.0 || 5.0.0-canary-7118f5dd7-20230705"
+    eslint-plugin-import "^2.31.0"
+    eslint-plugin-jsx-a11y "^6.10.0"
+    eslint-plugin-react "^7.37.0"
+    eslint-plugin-react-hooks "^5.0.0"
+
+eslint-flat-config-utils@^0.4.0:
+  version "0.4.0"
+  resolved "https://registry.npmjs.org/eslint-flat-config-utils/-/eslint-flat-config-utils-0.4.0.tgz"
+  integrity sha512-kfd5kQZC+BMO0YwTol6zxjKX1zAsk8JfSAopbKjKqmENTJcew+yBejuvccAg37cvOrN0Mh+DVbeyznuNWEjt4A==
+  dependencies:
+    pathe "^1.1.2"
 
 eslint-import-resolver-node@^0.3.6, eslint-import-resolver-node@^0.3.9:
   version "0.3.9"
@@ -6252,236 +6339,418 @@ eslint-import-resolver-typescript@^3.5.2:
     is-glob "^4.0.3"
     synckit "^0.8.5"
 
-eslint-module-utils@^2.7.4, eslint-module-utils@^2.8.0:
-  version "2.8.0"
-  resolved "https://registry.npmjs.org/eslint-module-utils/-/eslint-module-utils-2.8.0.tgz"
-  integrity sha512-aWajIYfsqCKRDgUfjEXNN/JlrzauMuSEy5sbd7WXbtW3EH6A6MpwEh42c7qD+MqQo9QMJ6fWLAeIJynx0g6OAw==
+eslint-json-compat-utils@^0.2.1:
+  version "0.2.1"
+  resolved "https://registry.npmjs.org/eslint-json-compat-utils/-/eslint-json-compat-utils-0.2.1.tgz"
+  integrity sha512-YzEodbDyW8DX8bImKhAcCeu/L31Dd/70Bidx2Qex9OFUtgzXLqtfWL4Hr5fM/aCCB8QUZLuJur0S9k6UfgFkfg==
+  dependencies:
+    esquery "^1.6.0"
+
+eslint-merge-processors@^0.1.0:
+  version "0.1.0"
+  resolved "https://registry.npmjs.org/eslint-merge-processors/-/eslint-merge-processors-0.1.0.tgz"
+  integrity sha512-IvRXXtEajLeyssvW4wJcZ2etxkR9mUf4zpNwgI+m/Uac9RfXHskuJefkHUcawVzePnd6xp24enp5jfgdHzjRdQ==
+
+eslint-module-utils@^2.12.0, eslint-module-utils@^2.7.4:
+  version "2.12.0"
+  resolved "https://registry.npmjs.org/eslint-module-utils/-/eslint-module-utils-2.12.0.tgz"
+  integrity sha512-wALZ0HFoytlyh/1+4wuZ9FJCD/leWHQzzrxJ8+rebyReSLk7LApMyd3WJaLVoN+D5+WIdJyDK1c6JnE65V4Zyg==
   dependencies:
     debug "^3.2.7"
 
-eslint-plugin-antfu@0.36.0:
-  version "0.36.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-antfu/-/eslint-plugin-antfu-0.36.0.tgz"
-  integrity sha512-qLYtjZC2y6d1fvVtG4nvVGoBUDEuUwQsS4E1RwjoEZyONZAkHYDPfeoeULDlPS0IqumSW8uGR6zGSAXi5rrVMg==
+eslint-plugin-antfu@^2.7.0:
+  version "2.7.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-antfu/-/eslint-plugin-antfu-2.7.0.tgz"
+  integrity sha512-gZM3jq3ouqaoHmUNszb1Zo2Ux7RckSvkGksjLWz9ipBYGSv1EwwBETN6AdiUXn+RpVHXTbEMPAPlXJazcA6+iA==
   dependencies:
-    "@typescript-eslint/utils" "^5.53.0"
+    "@antfu/utils" "^0.7.10"
 
-eslint-plugin-es@^4.1.0:
-  version "4.1.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-es/-/eslint-plugin-es-4.1.0.tgz"
-  integrity sha512-GILhQTnjYE2WorX5Jyi5i4dz5ALWxBIdQECVQavL6s7cI76IZTDWleTHkxz/QT3kvcs2QlGHvKLYsSlPOlPXnQ==
+eslint-plugin-command@^0.2.7:
+  version "0.2.7"
+  resolved "https://registry.npmjs.org/eslint-plugin-command/-/eslint-plugin-command-0.2.7.tgz"
+  integrity sha512-UXJ/1R6kdKDcHhiRqxHJ9RZ3juMR1IWQuSrnwt56qCjxt/am+5+YDt6GKs1FJPnppe6/geEYsO3CR9jc63i0xw==
   dependencies:
-    eslint-utils "^2.0.0"
-    regexpp "^3.0.0"
+    "@es-joy/jsdoccomment" "^0.49.0"
 
-eslint-plugin-eslint-comments@^3.2.0:
-  version "3.2.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-eslint-comments/-/eslint-plugin-eslint-comments-3.2.0.tgz"
-  integrity sha512-0jkOl0hfojIHHmEHgmNdqv4fmh7300NdpA9FFpF7zaoLvB/QeXOGNLIo86oAveJFrfB1p05kC8hpEMHM8DwWVQ==
+eslint-plugin-es-x@^7.8.0:
+  version "7.8.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-es-x/-/eslint-plugin-es-x-7.8.0.tgz"
+  integrity sha512-7Ds8+wAAoV3T+LAKeu39Y5BzXCrGKrcISfgKEqTS4BDN8SFEDQd0S43jiQ8vIa3wUKD07qitZdfzlenSi8/0qQ==
   dependencies:
-    escape-string-regexp "^1.0.5"
-    ignore "^5.0.5"
+    "@eslint-community/eslint-utils" "^4.1.2"
+    "@eslint-community/regexpp" "^4.11.0"
+    eslint-compat-utils "^0.5.1"
 
-eslint-plugin-html@^7.1.0:
-  version "7.1.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-html/-/eslint-plugin-html-7.1.0.tgz"
-  integrity sha512-fNLRraV/e6j8e3XYOC9xgND4j+U7b1Rq+OygMlLcMg+wI/IpVbF+ubQa3R78EjKB9njT6TQOlcK5rFKBVVtdfg==
+eslint-plugin-import-x@^4.6.1:
+  version "4.6.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-import-x/-/eslint-plugin-import-x-4.6.1.tgz"
+  integrity sha512-wluSUifMIb7UfwWXqx7Yx0lE/SGCcGXECLx/9bCmbY2nneLwvAZ4vkd1IXDjPKFvdcdUgr1BaRnaRpx3k2+Pfw==
   dependencies:
-    htmlparser2 "^8.0.1"
+    "@types/doctrine" "^0.0.9"
+    "@typescript-eslint/scope-manager" "^8.1.0"
+    "@typescript-eslint/utils" "^8.1.0"
+    debug "^4.3.4"
+    doctrine "^3.0.0"
+    enhanced-resolve "^5.17.1"
+    eslint-import-resolver-node "^0.3.9"
+    get-tsconfig "^4.7.3"
+    is-glob "^4.0.3"
+    minimatch "^9.0.3"
+    semver "^7.6.3"
+    stable-hash "^0.0.4"
+    tslib "^2.6.3"
 
-eslint-plugin-import@^2.27.5, eslint-plugin-import@^2.28.1:
-  version "2.29.1"
-  resolved "https://registry.npmjs.org/eslint-plugin-import/-/eslint-plugin-import-2.29.1.tgz"
-  integrity sha512-BbPC0cuExzhiMo4Ff1BTVwHpjjv28C5R+btTOGaCRC7UEz801up0JadwkeSk5Ued6TG34uaczuVuH6qyy5YUxw==
+eslint-plugin-import@*, eslint-plugin-import@^2.31.0:
+  version "2.31.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-import/-/eslint-plugin-import-2.31.0.tgz"
+  integrity sha512-ixmkI62Rbc2/w8Vfxyh1jQRTdRTF52VxwRVHl/ykPAmqG+Nb7/kNn+byLP0LxPgI7zWA16Jt82SybJInmMia3A==
   dependencies:
-    array-includes "^3.1.7"
-    array.prototype.findlastindex "^1.2.3"
+    "@rtsao/scc" "^1.1.0"
+    array-includes "^3.1.8"
+    array.prototype.findlastindex "^1.2.5"
     array.prototype.flat "^1.3.2"
     array.prototype.flatmap "^1.3.2"
     debug "^3.2.7"
     doctrine "^2.1.0"
     eslint-import-resolver-node "^0.3.9"
-    eslint-module-utils "^2.8.0"
-    hasown "^2.0.0"
-    is-core-module "^2.13.1"
+    eslint-module-utils "^2.12.0"
+    hasown "^2.0.2"
+    is-core-module "^2.15.1"
     is-glob "^4.0.3"
     minimatch "^3.1.2"
-    object.fromentries "^2.0.7"
-    object.groupby "^1.0.1"
-    object.values "^1.1.7"
+    object.fromentries "^2.0.8"
+    object.groupby "^1.0.3"
+    object.values "^1.2.0"
     semver "^6.3.1"
+    string.prototype.trimend "^1.0.8"
     tsconfig-paths "^3.15.0"
 
-eslint-plugin-jest@^27.2.1:
-  version "27.2.1"
-  resolved "https://registry.npmjs.org/eslint-plugin-jest/-/eslint-plugin-jest-27.2.1.tgz"
-  integrity sha512-l067Uxx7ZT8cO9NJuf+eJHvt6bqJyz2Z29wykyEdz/OtmcELQl2MQGQLX8J94O1cSJWAwUSEvCjwjA7KEK3Hmg==
+eslint-plugin-jsdoc@^50.6.1:
+  version "50.6.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-jsdoc/-/eslint-plugin-jsdoc-50.6.1.tgz"
+  integrity sha512-UWyaYi6iURdSfdVVqvfOs2vdCVz0J40O/z/HTsv2sFjdjmdlUI/qlKLOTmwbPQ2tAfQnE5F9vqx+B+poF71DBQ==
   dependencies:
-    "@typescript-eslint/utils" "^5.10.0"
+    "@es-joy/jsdoccomment" "~0.49.0"
+    are-docs-informative "^0.0.2"
+    comment-parser "1.4.1"
+    debug "^4.3.6"
+    escape-string-regexp "^4.0.0"
+    espree "^10.1.0"
+    esquery "^1.6.0"
+    parse-imports "^2.1.1"
+    semver "^7.6.3"
+    spdx-expression-parse "^4.0.0"
+    synckit "^0.9.1"
 
-eslint-plugin-jsonc@^2.6.0:
-  version "2.8.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-jsonc/-/eslint-plugin-jsonc-2.8.0.tgz"
-  integrity sha512-K4VsnztnNwpm+V49CcCu5laq8VjclJpuhfI9LFkOrOyK+BKdQHMzkWo43B4X4rYaVrChm4U9kw/tTU5RHh5Wtg==
+eslint-plugin-jsonc@^2.18.2:
+  version "2.18.2"
+  resolved "https://registry.npmjs.org/eslint-plugin-jsonc/-/eslint-plugin-jsonc-2.18.2.tgz"
+  integrity sha512-SDhJiSsWt3nItl/UuIv+ti4g3m4gpGkmnUJS9UWR3TrpyNsIcnJoBRD7Kof6cM4Rk3L0wrmY5Tm3z7ZPjR2uGg==
   dependencies:
     "@eslint-community/eslint-utils" "^4.2.0"
+    eslint-compat-utils "^0.6.0"
+    eslint-json-compat-utils "^0.2.1"
+    espree "^9.6.1"
+    graphemer "^1.4.0"
     jsonc-eslint-parser "^2.0.4"
     natural-compare "^1.4.0"
+    synckit "^0.6.0"
 
-eslint-plugin-jsx-a11y@^6.7.1:
-  version "6.7.1"
-  resolved "https://registry.npmjs.org/eslint-plugin-jsx-a11y/-/eslint-plugin-jsx-a11y-6.7.1.tgz"
-  integrity sha512-63Bog4iIethyo8smBklORknVjB0T2dwB8Mr/hIC+fBS0uyHdYYpzM/Ed+YC8VxTjlXHEWFOdmgwcDn1U2L9VCA==
+eslint-plugin-jsx-a11y@^6.10.0:
+  version "6.10.2"
+  resolved "https://registry.npmjs.org/eslint-plugin-jsx-a11y/-/eslint-plugin-jsx-a11y-6.10.2.tgz"
+  integrity sha512-scB3nz4WmG75pV8+3eRUQOHZlNSUhFNq37xnpgRkCCELU3XMvXAxLk1eqWWyE22Ki4Q01Fnsw9BA3cJHDPgn2Q==
   dependencies:
-    "@babel/runtime" "^7.20.7"
-    aria-query "^5.1.3"
-    array-includes "^3.1.6"
-    array.prototype.flatmap "^1.3.1"
-    ast-types-flow "^0.0.7"
-    axe-core "^4.6.2"
-    axobject-query "^3.1.1"
+    aria-query "^5.3.2"
+    array-includes "^3.1.8"
+    array.prototype.flatmap "^1.3.2"
+    ast-types-flow "^0.0.8"
+    axe-core "^4.10.0"
+    axobject-query "^4.1.0"
     damerau-levenshtein "^1.0.8"
     emoji-regex "^9.2.2"
-    has "^1.0.3"
-    jsx-ast-utils "^3.3.3"
-    language-tags "=1.0.5"
+    hasown "^2.0.2"
+    jsx-ast-utils "^3.3.5"
+    language-tags "^1.0.9"
     minimatch "^3.1.2"
-    object.entries "^1.1.6"
-    object.fromentries "^2.0.6"
-    semver "^6.3.0"
+    object.fromentries "^2.0.8"
+    safe-regex-test "^1.0.3"
+    string.prototype.includes "^2.0.1"
 
-eslint-plugin-markdown@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-markdown/-/eslint-plugin-markdown-3.0.0.tgz"
-  integrity sha512-hRs5RUJGbeHDLfS7ELanT0e29Ocyssf/7kBM+p7KluY5AwngGkDf8Oyu4658/NZSGTTq05FZeWbkxXtbVyHPwg==
+eslint-plugin-n@^17.15.1:
+  version "17.15.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-n/-/eslint-plugin-n-17.15.1.tgz"
+  integrity sha512-KFw7x02hZZkBdbZEFQduRGH4VkIH4MW97ClsbAM4Y4E6KguBJWGfWG1P4HEIpZk2bkoWf0bojpnjNAhYQP8beA==
   dependencies:
-    mdast-util-from-markdown "^0.8.5"
+    "@eslint-community/eslint-utils" "^4.4.1"
+    enhanced-resolve "^5.17.1"
+    eslint-plugin-es-x "^7.8.0"
+    get-tsconfig "^4.8.1"
+    globals "^15.11.0"
+    ignore "^5.3.2"
+    minimatch "^9.0.5"
+    semver "^7.6.3"
 
-eslint-plugin-n@^15.6.1:
-  version "15.7.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-n/-/eslint-plugin-n-15.7.0.tgz"
-  integrity sha512-jDex9s7D/Qial8AGVIHq4W7NswpUD5DPDL2RH8Lzd9EloWUuvUkHfv4FRLMipH5q2UtyurorBkPeNi1wVWNh3Q==
+eslint-plugin-no-only-tests@^3.3.0:
+  version "3.3.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-no-only-tests/-/eslint-plugin-no-only-tests-3.3.0.tgz"
+  integrity sha512-brcKcxGnISN2CcVhXJ/kEQlNa0MEfGRtwKtWA16SkqXHKitaKIMrfemJKLKX1YqDU5C/5JY3PvZXd5jEW04e0Q==
+
+eslint-plugin-perfectionist@^4.4.0:
+  version "4.4.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-perfectionist/-/eslint-plugin-perfectionist-4.4.0.tgz"
+  integrity sha512-B78pWxCsA2sClourpWEmWziCcjEsAEyxsNV5G6cxxteu/NI0/2en9XZUONf5e/+O+dgoLZsEPHQEhnIxJcnUvA==
   dependencies:
-    builtins "^5.0.1"
-    eslint-plugin-es "^4.1.0"
-    eslint-utils "^3.0.0"
-    ignore "^5.1.1"
-    is-core-module "^2.11.0"
-    minimatch "^3.1.2"
-    resolve "^1.22.1"
-    semver "^7.3.8"
+    "@typescript-eslint/types" "^8.18.1"
+    "@typescript-eslint/utils" "^8.18.1"
+    natural-orderby "^5.0.0"
 
-eslint-plugin-no-only-tests@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-no-only-tests/-/eslint-plugin-no-only-tests-3.1.0.tgz"
-  integrity sha512-Lf4YW/bL6Un1R6A76pRZyE1dl1vr31G/ev8UzIc/geCgFWyrKil8hVjYqWVKGB/UIGmb6Slzs9T0wNezdSVegw==
-
-eslint-plugin-promise@^6.1.1:
-  version "6.1.1"
-  resolved "https://registry.npmjs.org/eslint-plugin-promise/-/eslint-plugin-promise-6.1.1.tgz"
-  integrity sha512-tjqWDwVZQo7UIPMeDReOpUgHCmCiH+ePnVT+5zVapL0uuHnegBUs2smM13CzOs2Xb5+MHMRFTs9v24yjba4Oig==
-
-"eslint-plugin-react-hooks@^4.5.0 || 5.0.0-canary-7118f5dd7-20230705":
-  version "5.0.0-canary-7118f5dd7-20230705"
-  resolved "https://registry.npmjs.org/eslint-plugin-react-hooks/-/eslint-plugin-react-hooks-5.0.0-canary-7118f5dd7-20230705.tgz"
-  integrity sha512-AZYbMo/NW9chdL7vk6HQzQhT+PvTAEVqWk9ziruUoW2kAOcN5qNyelv70e0F1VNQAbvutOC9oc+xfWycI9FxDw==
-
-eslint-plugin-react@^7.33.2:
-  version "7.33.2"
-  resolved "https://registry.npmjs.org/eslint-plugin-react/-/eslint-plugin-react-7.33.2.tgz"
-  integrity sha512-73QQMKALArI8/7xGLNI/3LylrEYrlKZSb5C9+q3OtOewTnMQi5cT+aE9E41sLCmli3I9PGGmD1yiZydyo4FEPw==
+eslint-plugin-react-debug@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-debug/-/eslint-plugin-react-debug-1.22.1.tgz"
+  integrity sha512-dtXr9UTiWWSVkwNkaYkA04khR6xebqLeX3O8/ZJfIeFaA+58DRhwWGqzywLDjjLIM7s0V7UmuuvAGff8CVS9fA==
   dependencies:
-    array-includes "^3.1.6"
-    array.prototype.flatmap "^1.3.1"
-    array.prototype.tosorted "^1.1.1"
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react-dom@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-dom/-/eslint-plugin-react-dom-1.22.1.tgz"
+  integrity sha512-uQg81POQCR1rDlOfvzRZQ0KoJeLkSmpsmGLU0r5unsCNJFF6hCEcqhYHapmn7oLV/6MebLF2exptsXjNc+L7rQ==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    compare-versions "^6.1.1"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react-hooks-extra@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-hooks-extra/-/eslint-plugin-react-hooks-extra-1.22.1.tgz"
+  integrity sha512-9g+Cxf76nne6n9cPOzQpj4S6f8XgSqRwkDO/XbHzuU6xgaxc2Y/9lD9YX1N9Tm3d86XtdLHkWfDFBD4SigSC2Q==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react-hooks@^5.0.0:
+  version "5.1.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-hooks/-/eslint-plugin-react-hooks-5.1.0.tgz"
+  integrity sha512-mpJRtPgHN2tNAvZ35AMfqeB3Xqeo273QxrHJsbBEPWODRM4r0yB6jfoROqKEYrOn27UtRPpcpHc2UqyBSuUNTw==
+
+eslint-plugin-react-naming-convention@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-naming-convention/-/eslint-plugin-react-naming-convention-1.22.1.tgz"
+  integrity sha512-KXsHYBk9x9+UYoXfLHbKrc1ntXu+TYIB5nmwEUP5PrjcmUO4GuFNFDzWSqUVileQbJPAXWBUwEBGfwCePGwJrg==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react-refresh@^0.4.13, eslint-plugin-react-refresh@^0.4.4:
+  version "0.4.16"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-refresh/-/eslint-plugin-react-refresh-0.4.16.tgz"
+  integrity sha512-slterMlxAhov/DZO8NScf6mEeMBBXodFUolijDvrtTxyezyLoTQaa73FyYus/VbTdftd8wBgBxPMRk3poleXNQ==
+
+eslint-plugin-react-web-api@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-web-api/-/eslint-plugin-react-web-api-1.22.1.tgz"
+  integrity sha512-g/m8c61PWqVmF2P5P9nrL7jobTCbBRdChTfL1fSMXmI9Ax3Ggl+7dWLhIFSRffEUIOOE6aAHrMT3EBWXM25uYQ==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    birecord "^0.1.1"
+    string-ts "^2.2.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react-x@1.22.1:
+  version "1.22.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-react-x/-/eslint-plugin-react-x-1.22.1.tgz"
+  integrity sha512-+YoMnr/JLoXIhviecNYsY7kcjHaOQBOyT7wQjyaxxNrqGeTKPJI6rtk+Sb7ZGXDXVg3L8S+gyzS2VQTt9KS9gQ==
+  dependencies:
+    "@eslint-react/ast" "1.22.1"
+    "@eslint-react/core" "1.22.1"
+    "@eslint-react/eff" "1.22.1"
+    "@eslint-react/jsx" "1.22.1"
+    "@eslint-react/shared" "1.22.1"
+    "@eslint-react/types" "1.22.1"
+    "@eslint-react/var" "1.22.1"
+    "@typescript-eslint/scope-manager" "^8.18.2"
+    "@typescript-eslint/type-utils" "^8.18.2"
+    "@typescript-eslint/types" "^8.18.2"
+    "@typescript-eslint/utils" "^8.18.2"
+    compare-versions "^6.1.1"
+    is-immutable-type "^5.0.0"
+    string-ts "^2.2.0"
+    ts-api-utils "^2.0.0"
+    ts-pattern "^5.6.0"
+
+eslint-plugin-react@^7.37.0:
+  version "7.37.3"
+  resolved "https://registry.npmjs.org/eslint-plugin-react/-/eslint-plugin-react-7.37.3.tgz"
+  integrity sha512-DomWuTQPFYZwF/7c9W2fkKkStqZmBd3uugfqBYLdkZ3Hii23WzZuOLUskGxB8qkSKqftxEeGL1TB2kMhrce0jA==
+  dependencies:
+    array-includes "^3.1.8"
+    array.prototype.findlast "^1.2.5"
+    array.prototype.flatmap "^1.3.3"
+    array.prototype.tosorted "^1.1.4"
     doctrine "^2.1.0"
-    es-iterator-helpers "^1.0.12"
+    es-iterator-helpers "^1.2.1"
     estraverse "^5.3.0"
+    hasown "^2.0.2"
     jsx-ast-utils "^2.4.1 || ^3.0.0"
     minimatch "^3.1.2"
-    object.entries "^1.1.6"
-    object.fromentries "^2.0.6"
-    object.hasown "^1.1.2"
-    object.values "^1.1.6"
+    object.entries "^1.1.8"
+    object.fromentries "^2.0.8"
+    object.values "^1.2.1"
     prop-types "^15.8.1"
-    resolve "^2.0.0-next.4"
+    resolve "^2.0.0-next.5"
     semver "^6.3.1"
-    string.prototype.matchall "^4.0.8"
+    string.prototype.matchall "^4.0.12"
+    string.prototype.repeat "^1.0.0"
 
-eslint-plugin-storybook@^0.9.0:
-  version "0.9.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-storybook/-/eslint-plugin-storybook-0.9.0.tgz"
-  integrity sha512-qOT/2vQBo0VqrG/BhZv8IdSsKQiyzJw+2Wqq+WFCiblI/PfxLSrGkF/buiXF+HumwfsCyBdaC94UhqhmYFmAvA==
+eslint-plugin-regexp@^2.7.0:
+  version "2.7.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-regexp/-/eslint-plugin-regexp-2.7.0.tgz"
+  integrity sha512-U8oZI77SBtH8U3ulZ05iu0qEzIizyEDXd+BWHvyVxTOjGwcDcvy/kEpgFG4DYca2ByRLiVPFZ2GeH7j1pdvZTA==
   dependencies:
-    "@storybook/csf" "^0.0.1"
-    "@typescript-eslint/utils" "^5.62.0"
-    requireindex "^1.2.0"
+    "@eslint-community/eslint-utils" "^4.2.0"
+    "@eslint-community/regexpp" "^4.11.0"
+    comment-parser "^1.4.0"
+    jsdoc-type-pratt-parser "^4.0.0"
+    refa "^0.12.1"
+    regexp-ast-analysis "^0.7.1"
+    scslre "^0.3.0"
+
+eslint-plugin-storybook@^0.10.1:
+  version "0.10.2"
+  resolved "https://registry.npmjs.org/eslint-plugin-storybook/-/eslint-plugin-storybook-0.10.2.tgz"
+  integrity sha512-iOrFJfyLgRLIbWDLbbs3J4yrknvIB+uiZ8KGqGOEXTL7/BGuBMZLiIU9Q4Pm/VYJrHN4JqmMtwCSrAemHL2nFg==
+  dependencies:
+    "@storybook/csf" "^0.1.11"
+    "@typescript-eslint/utils" "^8.8.1"
     ts-dedent "^2.2.0"
 
-eslint-plugin-unicorn@^45.0.2:
-  version "45.0.2"
-  resolved "https://registry.npmjs.org/eslint-plugin-unicorn/-/eslint-plugin-unicorn-45.0.2.tgz"
-  integrity sha512-Y0WUDXRyGDMcKLiwgL3zSMpHrXI00xmdyixEGIg90gHnj0PcHY4moNv3Ppje/kDivdAy5vUeUr7z211ImPv2gw==
+eslint-plugin-tailwindcss@^3.17.5:
+  version "3.17.5"
+  resolved "https://registry.npmjs.org/eslint-plugin-tailwindcss/-/eslint-plugin-tailwindcss-3.17.5.tgz"
+  integrity sha512-8Mi7p7dm+mO1dHgRHHFdPu4RDTBk69Cn4P0B40vRQR+MrguUpwmKwhZy1kqYe3Km8/4nb+cyrCF+5SodOEmaow==
   dependencies:
-    "@babel/helper-validator-identifier" "^7.19.1"
-    "@eslint-community/eslint-utils" "^4.1.2"
-    ci-info "^3.6.1"
+    fast-glob "^3.2.5"
+    postcss "^8.4.4"
+
+eslint-plugin-toml@^0.12.0:
+  version "0.12.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-toml/-/eslint-plugin-toml-0.12.0.tgz"
+  integrity sha512-+/wVObA9DVhwZB1nG83D2OAQRrcQZXy+drqUnFJKymqnmbnbfg/UPmEMCKrJNcEboUGxUjYrJlgy+/Y930mURQ==
+  dependencies:
+    debug "^4.1.1"
+    eslint-compat-utils "^0.6.0"
+    lodash "^4.17.19"
+    toml-eslint-parser "^0.10.0"
+
+eslint-plugin-unicorn@^56.0.1:
+  version "56.0.1"
+  resolved "https://registry.npmjs.org/eslint-plugin-unicorn/-/eslint-plugin-unicorn-56.0.1.tgz"
+  integrity sha512-FwVV0Uwf8XPfVnKSGpMg7NtlZh0G0gBarCaFcMUOoqPxXryxdYxTRRv4kH6B9TFCVIrjRXG+emcxIk2ayZilog==
+  dependencies:
+    "@babel/helper-validator-identifier" "^7.24.7"
+    "@eslint-community/eslint-utils" "^4.4.0"
+    ci-info "^4.0.0"
     clean-regexp "^1.0.0"
-    esquery "^1.4.0"
+    core-js-compat "^3.38.1"
+    esquery "^1.6.0"
+    globals "^15.9.0"
     indent-string "^4.0.0"
-    is-builtin-module "^3.2.0"
+    is-builtin-module "^3.2.1"
     jsesc "^3.0.2"
-    lodash "^4.17.21"
     pluralize "^8.0.0"
     read-pkg-up "^7.0.1"
-    regexp-tree "^0.1.24"
-    regjsparser "^0.9.1"
-    safe-regex "^2.1.1"
-    semver "^7.3.8"
+    regexp-tree "^0.1.27"
+    regjsparser "^0.10.0"
+    semver "^7.6.3"
     strip-indent "^3.0.0"
 
-eslint-plugin-unused-imports@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-unused-imports/-/eslint-plugin-unused-imports-2.0.0.tgz"
-  integrity sha512-3APeS/tQlTrFa167ThtP0Zm0vctjr4M44HMpeg1P4bK6wItarumq0Ma82xorMKdFsWpphQBlRPzw/pxiVELX1A==
-  dependencies:
-    eslint-rule-composer "^0.3.0"
+eslint-plugin-unused-imports@^4.1.4:
+  version "4.1.4"
+  resolved "https://registry.npmjs.org/eslint-plugin-unused-imports/-/eslint-plugin-unused-imports-4.1.4.tgz"
+  integrity sha512-YptD6IzQjDardkl0POxnnRBhU1OEePMV0nd6siHaRBbd+lyh6NAhFEobiznKU7kTsSsDeSD62Pe7kAM1b7dAZQ==
 
-eslint-plugin-vue@^9.9.0:
-  version "9.14.1"
-  resolved "https://registry.npmjs.org/eslint-plugin-vue/-/eslint-plugin-vue-9.14.1.tgz"
-  integrity sha512-LQazDB1qkNEKejLe/b5a9VfEbtbczcOaui5lQ4Qw0tbRBbQYREyxxOV5BQgNDTqGPs9pxqiEpbMi9ywuIaF7vw==
+eslint-plugin-vue@^9.32.0:
+  version "9.32.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-vue/-/eslint-plugin-vue-9.32.0.tgz"
+  integrity sha512-b/Y05HYmnB/32wqVcjxjHZzNpwxj1onBOvqW89W+V+XNG1dRuaFbNd3vT9CLbr2LXjEoq+3vn8DanWf7XU22Ug==
   dependencies:
-    "@eslint-community/eslint-utils" "^4.3.0"
+    "@eslint-community/eslint-utils" "^4.4.0"
+    globals "^13.24.0"
     natural-compare "^1.4.0"
-    nth-check "^2.0.1"
-    postcss-selector-parser "^6.0.9"
-    semver "^7.3.5"
-    vue-eslint-parser "^9.3.0"
+    nth-check "^2.1.1"
+    postcss-selector-parser "^6.0.15"
+    semver "^7.6.3"
+    vue-eslint-parser "^9.4.3"
     xml-name-validator "^4.0.0"
 
-eslint-plugin-yml@^1.5.0:
-  version "1.7.0"
-  resolved "https://registry.npmjs.org/eslint-plugin-yml/-/eslint-plugin-yml-1.7.0.tgz"
-  integrity sha512-qq61FQJk+qIgWl0R06bec7UQQEIBrUH22jS+MroTbFUKu+3/iVlGRpZd8mjpOAm/+H/WEDFwy4x/+kKgVGbsWw==
+eslint-plugin-yml@^1.16.0:
+  version "1.16.0"
+  resolved "https://registry.npmjs.org/eslint-plugin-yml/-/eslint-plugin-yml-1.16.0.tgz"
+  integrity sha512-t4MNCetPjTn18/fUDlQ/wKkcYjnuLYKChBrZ0qUaNqRigVqChHWzTP8SrfFi5s4keX3vdlkWRSu8zHJMdKwxWQ==
   dependencies:
     debug "^4.3.2"
+    eslint-compat-utils "^0.6.0"
     lodash "^4.17.21"
     natural-compare "^1.4.0"
     yaml-eslint-parser "^1.2.1"
 
-eslint-rule-composer@^0.3.0:
-  version "0.3.0"
-  resolved "https://registry.npmjs.org/eslint-rule-composer/-/eslint-rule-composer-0.3.0.tgz"
-  integrity sha512-bt+Sh8CtDmn2OajxvNO+BX7Wn4CIWMpTRm3MaiKPCQcnnlm0CS2mhui6QaoeQugs+3Kj2ESKEEGJUdVafwhiCg==
-
-eslint-scope@5.1.1, eslint-scope@^5.1.1:
-  version "5.1.1"
-  resolved "https://registry.npmjs.org/eslint-scope/-/eslint-scope-5.1.1.tgz"
-  integrity sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==
-  dependencies:
-    esrecurse "^4.3.0"
-    estraverse "^4.1.1"
+eslint-processor-vue-blocks@^0.1.2:
+  version "0.1.2"
+  resolved "https://registry.npmjs.org/eslint-processor-vue-blocks/-/eslint-processor-vue-blocks-0.1.2.tgz"
+  integrity sha512-PfpJ4uKHnqeL/fXUnzYkOax3aIenlwewXRX8jFinA1a2yCFnLgMuiH3xvCgvHHUlV2xJWQHbCTdiJWGwb3NqpQ==
 
 eslint-scope@^7.1.1:
   version "7.2.0"
@@ -6491,88 +6760,105 @@ eslint-scope@^7.1.1:
     esrecurse "^4.3.0"
     estraverse "^5.2.0"
 
-eslint-scope@^7.2.2:
-  version "7.2.2"
-  resolved "https://registry.npmjs.org/eslint-scope/-/eslint-scope-7.2.2.tgz"
-  integrity sha512-dOt21O7lTMhDM+X9mB4GX+DZrZtCUJPL/wlcTqxyrx5IvO0IYtILdtrQGQp+8n5S0gwSVmOf9NQrjMOgfQZlIg==
+eslint-scope@^8.2.0:
+  version "8.2.0"
+  resolved "https://registry.npmjs.org/eslint-scope/-/eslint-scope-8.2.0.tgz"
+  integrity sha512-PHlWUfG6lvPc3yvP5A4PNyBL1W8fkDUccmI21JUu/+GKZBoH/W5u6usENXUrWFRsyoW5ACUjFGgAFQp5gUlb/A==
   dependencies:
     esrecurse "^4.3.0"
     estraverse "^5.2.0"
 
-eslint-utils@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/eslint-utils/-/eslint-utils-2.1.0.tgz"
-  integrity sha512-w94dQYoauyvlDc43XnGB8lU3Zt713vNChgt4EWwhXAP2XkBvndfxF0AgIqKOOasjPIPzj9JqgwkwbCYD0/V3Zg==
+eslint-scope@5.1.1:
+  version "5.1.1"
+  resolved "https://registry.npmjs.org/eslint-scope/-/eslint-scope-5.1.1.tgz"
+  integrity sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==
   dependencies:
-    eslint-visitor-keys "^1.1.0"
+    esrecurse "^4.3.0"
+    estraverse "^4.1.1"
 
-eslint-utils@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.npmjs.org/eslint-utils/-/eslint-utils-3.0.0.tgz"
-  integrity sha512-uuQC43IGctw68pJA1RgbQS8/NP7rch6Cwd4j3ZBtgo4/8Flj4eGE7ZYSZRN3iq5pVUv6GPdW5Z1RFleo84uLDA==
-  dependencies:
-    eslint-visitor-keys "^2.0.0"
-
-eslint-visitor-keys@^1.1.0:
-  version "1.3.0"
-  resolved "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-1.3.0.tgz"
-  integrity sha512-6J72N8UNa462wa/KFODt/PJ3IU60SDpC3QXC1Hjc1BXXpfL2C9R5+AU7jhe0F6GREqVMh4Juu+NY7xn+6dipUQ==
-
-eslint-visitor-keys@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-2.1.0.tgz"
-  integrity sha512-0rSmRBzXgDzIsD6mGdJgevzgezI534Cer5L/vyMX0kHzT/jiB43jRhd9YUlMGYLQy2zprNmoT8qasCGtY+QaKw==
-
-eslint-visitor-keys@^3.0.0, eslint-visitor-keys@^3.3.0, eslint-visitor-keys@^3.4.1, eslint-visitor-keys@^3.4.3:
+eslint-visitor-keys@^3.0.0, eslint-visitor-keys@^3.3.0, eslint-visitor-keys@^3.4.1:
   version "3.4.3"
   resolved "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz"
   integrity sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==
 
-eslint@^8.36.0:
-  version "8.57.1"
-  resolved "https://registry.npmjs.org/eslint/-/eslint-8.57.1.tgz"
-  integrity sha512-ypowyDxpVSYpkXr9WPv2PAZCtNip1Mv5KTW0SCurXv/9iOpcrH9PaqUElksqEB6pChqHGDRCFTyrZlGhnLNGiA==
+eslint-visitor-keys@^3.4.3:
+  version "3.4.3"
+  resolved "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz"
+  integrity sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==
+
+eslint-visitor-keys@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-4.2.0.tgz"
+  integrity sha512-UyLnSehNt62FFhSwjZlHmeokpRK59rcz29j+F1/aDgbkbRTk7wIc9XzdoasMUbRNKDM0qQt/+BJ4BrpFeABemw==
+
+eslint@*, "eslint@^2 || ^3 || ^4 || ^5 || ^6 || ^7.2.0 || ^8 || ^9", "eslint@^3 || ^4 || ^5 || ^6 || ^7 || ^8 || ^9", "eslint@^3 || ^4 || ^5 || ^6 || ^7 || ^8 || ^9.7", "eslint@^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0 || ^7.0.0 || ^8.0.0-0 || ^9.0.0", "eslint@^6.0.0 || ^7.0.0 || ^8.0.0 || ^9.0.0", "eslint@^6.0.0 || ^7.0.0 || >=8.0.0", "eslint@^6.2.0 || ^7.0.0 || ^8.0.0 || ^9.0.0", "eslint@^7.0.0 || ^8.0.0 || ^9.0.0", "eslint@^7.23.0 || ^8.0.0 || ^9.0.0", "eslint@^8.50.0 || ^9.0.0", "eslint@^8.57.0 || ^9.0.0", "eslint@^9.0.0 || ^8.0.0", eslint@^9.10.0, eslint@^9.13.0, eslint@^9.5.0, "eslint@>= 8.57.0", eslint@>=6, eslint@>=6.0.0, eslint@>=8, eslint@>=8.0.0, eslint@>=8.23.0, eslint@>=8.40, eslint@>=8.40.0, eslint@>=8.44.0, eslint@>=8.56.0:
+  version "9.17.0"
+  resolved "https://registry.npmjs.org/eslint/-/eslint-9.17.0.tgz"
+  integrity sha512-evtlNcpJg+cZLcnVKwsai8fExnqjGPicK7gnUtlNuzu+Fv9bI0aLpND5T44VLQtoMEnI57LoXO9XAkIXwohKrA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.2.0"
-    "@eslint-community/regexpp" "^4.6.1"
-    "@eslint/eslintrc" "^2.1.4"
-    "@eslint/js" "8.57.1"
-    "@humanwhocodes/config-array" "^0.13.0"
+    "@eslint-community/regexpp" "^4.12.1"
+    "@eslint/config-array" "^0.19.0"
+    "@eslint/core" "^0.9.0"
+    "@eslint/eslintrc" "^3.2.0"
+    "@eslint/js" "9.17.0"
+    "@eslint/plugin-kit" "^0.2.3"
+    "@humanfs/node" "^0.16.6"
     "@humanwhocodes/module-importer" "^1.0.1"
-    "@nodelib/fs.walk" "^1.2.8"
-    "@ungap/structured-clone" "^1.2.0"
+    "@humanwhocodes/retry" "^0.4.1"
+    "@types/estree" "^1.0.6"
+    "@types/json-schema" "^7.0.15"
     ajv "^6.12.4"
     chalk "^4.0.0"
-    cross-spawn "^7.0.2"
+    cross-spawn "^7.0.6"
     debug "^4.3.2"
-    doctrine "^3.0.0"
     escape-string-regexp "^4.0.0"
-    eslint-scope "^7.2.2"
-    eslint-visitor-keys "^3.4.3"
-    espree "^9.6.1"
-    esquery "^1.4.2"
+    eslint-scope "^8.2.0"
+    eslint-visitor-keys "^4.2.0"
+    espree "^10.3.0"
+    esquery "^1.5.0"
     esutils "^2.0.2"
     fast-deep-equal "^3.1.3"
-    file-entry-cache "^6.0.1"
+    file-entry-cache "^8.0.0"
     find-up "^5.0.0"
     glob-parent "^6.0.2"
-    globals "^13.19.0"
-    graphemer "^1.4.0"
     ignore "^5.2.0"
     imurmurhash "^0.1.4"
     is-glob "^4.0.0"
-    is-path-inside "^3.0.3"
-    js-yaml "^4.1.0"
     json-stable-stringify-without-jsonify "^1.0.1"
-    levn "^0.4.1"
     lodash.merge "^4.6.2"
     minimatch "^3.1.2"
     natural-compare "^1.4.0"
     optionator "^0.9.3"
-    strip-ansi "^6.0.1"
-    text-table "^0.2.0"
 
-espree@^9.0.0, espree@^9.3.1, espree@^9.6.0, espree@^9.6.1:
+espree@^10.0.1, espree@^10.1.0, espree@^10.3.0:
+  version "10.3.0"
+  resolved "https://registry.npmjs.org/espree/-/espree-10.3.0.tgz"
+  integrity sha512-0QYC8b24HWY8zjRnDTL6RiHfDbAWn63qb4LMj1Z4b076A4une81+z03Kg7l7mn/48PUTqoLptSXez8oknU8Clg==
+  dependencies:
+    acorn "^8.14.0"
+    acorn-jsx "^5.3.2"
+    eslint-visitor-keys "^4.2.0"
+
+espree@^9.0.0:
+  version "9.6.1"
+  resolved "https://registry.npmjs.org/espree/-/espree-9.6.1.tgz"
+  integrity sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==
+  dependencies:
+    acorn "^8.9.0"
+    acorn-jsx "^5.3.2"
+    eslint-visitor-keys "^3.4.1"
+
+espree@^9.3.1:
+  version "9.6.1"
+  resolved "https://registry.npmjs.org/espree/-/espree-9.6.1.tgz"
+  integrity sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==
+  dependencies:
+    acorn "^8.9.0"
+    acorn-jsx "^5.3.2"
+    eslint-visitor-keys "^3.4.1"
+
+espree@^9.6.1:
   version "9.6.1"
   resolved "https://registry.npmjs.org/espree/-/espree-9.6.1.tgz"
   integrity sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==
@@ -6586,10 +6872,10 @@ esprima@^4.0.0, esprima@^4.0.1, esprima@~4.0.0:
   resolved "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz"
   integrity sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==
 
-esquery@^1.4.0, esquery@^1.4.2:
-  version "1.5.0"
-  resolved "https://registry.npmjs.org/esquery/-/esquery-1.5.0.tgz"
-  integrity sha512-YQLXUplAwJgCydQ78IMJywZCceoqk1oH01OERdSAJc/7U2AylwjhSCLDEtqwg811idIS/9fIU5GjG73IgjKMVg==
+esquery@^1.4.0, esquery@^1.5.0, esquery@^1.6.0:
+  version "1.6.0"
+  resolved "https://registry.npmjs.org/esquery/-/esquery-1.6.0.tgz"
+  integrity sha512-ca9pw9fomFcKPvFLXhBKUK90ZvGibiGOvRJNbjljY7s7uq/5YO4BOzcYtJqExdx99rF6aAcnRxHmcUHcz6sQsg==
   dependencies:
     estraverse "^5.1.0"
 
@@ -6610,43 +6896,52 @@ estraverse@^5.1.0, estraverse@^5.2.0, estraverse@^5.3.0:
   resolved "https://registry.npmjs.org/estraverse/-/estraverse-5.3.0.tgz"
   integrity sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==
 
-estree-util-attach-comments@^2.0.0:
-  version "2.1.1"
-  resolved "https://registry.npmjs.org/estree-util-attach-comments/-/estree-util-attach-comments-2.1.1.tgz"
-  integrity sha512-+5Ba/xGGS6mnwFbXIuQiDPTbuTxuMCooq3arVv7gPZtYpjp+VXH/NkHAP35OOefPhNG/UGqU3vt/LTABwcHX0w==
+estree-util-attach-comments@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/estree-util-attach-comments/-/estree-util-attach-comments-3.0.0.tgz"
+  integrity sha512-cKUwm/HUcTDsYh/9FgnuFqpfquUbwIqwKM26BVCGDPVgvaCl/nDCCjUfiLlx6lsEZ3Z4RFxNbOQ60pkaEwFxGw==
   dependencies:
     "@types/estree" "^1.0.0"
 
-estree-util-build-jsx@^2.0.0:
-  version "2.2.2"
-  resolved "https://registry.npmjs.org/estree-util-build-jsx/-/estree-util-build-jsx-2.2.2.tgz"
-  integrity sha512-m56vOXcOBuaF+Igpb9OPAy7f9w9OIkb5yhjsZuaPm7HoGi4oTOQi0h2+yZ+AtKklYFZ+rPC4n0wYCJCEU1ONqg==
+estree-util-build-jsx@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.npmjs.org/estree-util-build-jsx/-/estree-util-build-jsx-3.0.1.tgz"
+  integrity sha512-8U5eiL6BTrPxp/CHbs2yMgP8ftMhR5ww1eIKoWRMlqvltHF8fZn5LRDvTKuxD3DUn+shRbLGqXemcP51oFCsGQ==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
-    estree-util-is-identifier-name "^2.0.0"
+    devlop "^1.0.0"
+    estree-util-is-identifier-name "^3.0.0"
     estree-walker "^3.0.0"
 
-estree-util-is-identifier-name@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/estree-util-is-identifier-name/-/estree-util-is-identifier-name-2.1.0.tgz"
-  integrity sha512-bEN9VHRyXAUOjkKVQVvArFym08BTWB0aJPppZZr0UNyAqWsLaVfAqP7hbaTJjzHifmB5ebnR8Wm7r7yGN/HonQ==
+estree-util-is-identifier-name@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/estree-util-is-identifier-name/-/estree-util-is-identifier-name-3.0.0.tgz"
+  integrity sha512-hFtqIDZTIUZ9BXLb8y4pYGyk6+wekIivNVTcmvk8NoOh+VeRn5y6cEHzbURrWbfp1fIqdVipilzj+lfaadNZmg==
 
-estree-util-to-js@^1.1.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/estree-util-to-js/-/estree-util-to-js-1.2.0.tgz"
-  integrity sha512-IzU74r1PK5IMMGZXUVZbmiu4A1uhiPgW5hm1GjcOfr4ZzHaMPpLNJjR7HjXiIOzi25nZDrgFTobHTkV5Q6ITjA==
+estree-util-scope@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/estree-util-scope/-/estree-util-scope-1.0.0.tgz"
+  integrity sha512-2CAASclonf+JFWBNJPndcOpA8EMJwa0Q8LUFJEKqXLW6+qBvbFZuF5gItbQOs/umBUkjviCSDCbBwU2cXbmrhQ==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    devlop "^1.0.0"
+
+estree-util-to-js@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/estree-util-to-js/-/estree-util-to-js-2.0.0.tgz"
+  integrity sha512-WDF+xj5rRWmD5tj6bIqRi6CkLIXbbNQUcxQHzGysQzvHmdYG2G7p/Tf0J0gpxGgkeMZNTIjT/AoSvC9Xehcgdg==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
     astring "^1.8.0"
     source-map "^0.7.0"
 
-estree-util-visit@^1.0.0:
-  version "1.2.1"
-  resolved "https://registry.npmjs.org/estree-util-visit/-/estree-util-visit-1.2.1.tgz"
-  integrity sha512-xbgqcrkIVbIG+lI/gzbvd9SGTJL4zqJKBFttUl5pP27KhAjtMKbX/mQXJ7qgyXpMgVy/zvpm0xoQQaGL8OloOw==
+estree-util-visit@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/estree-util-visit/-/estree-util-visit-2.0.0.tgz"
+  integrity sha512-m5KgiH85xAhhW8Wta0vShLcUvOsh3LLPI2YVwcbio1l7E09NTLL1EyMZFM1OyWowoH0skScNbhOPl4kcBgzTww==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/unist" "^3.0.0"
 
 estree-walker@^2.0.2:
   version "2.0.2"
@@ -6670,6 +6965,11 @@ event-target-shim@^5.0.0:
   resolved "https://registry.npmjs.org/event-target-shim/-/event-target-shim-5.0.1.tgz"
   integrity sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ==
 
+eventemitter3@^5.0.1:
+  version "5.0.1"
+  resolved "https://registry.npmjs.org/eventemitter3/-/eventemitter3-5.0.1.tgz"
+  integrity sha512-GWkBvjiSZK87ELrYOSESUYeVIc9mvLLf/nXalMOS5dYrgZq9o5OVkbZAVM06CVxYsCwH9BDZFPlQTlPA1j4ahA==
+
 events@^3.2.0, events@^3.3.0:
   version "3.3.0"
   resolved "https://registry.npmjs.org/events/-/events-3.3.0.tgz"
@@ -6698,7 +6998,7 @@ execa@^5.0.0:
     signal-exit "^3.0.3"
     strip-final-newline "^2.0.0"
 
-execa@^7.0.0, execa@^7.1.1:
+execa@^7.1.1:
   version "7.1.1"
   resolved "https://registry.npmjs.org/execa/-/execa-7.1.1.tgz"
   integrity sha512-wH0eMf/UXckdUYnO21+HDztteVv05rq2GXksxT4fCGeHkBhw1DROXh40wcjMcRqDOWE7iPJ4n3M7e2+YFP+76Q==
@@ -6713,6 +7013,21 @@ execa@^7.0.0, execa@^7.1.1:
     signal-exit "^3.0.7"
     strip-final-newline "^3.0.0"
 
+execa@~8.0.1:
+  version "8.0.1"
+  resolved "https://registry.npmjs.org/execa/-/execa-8.0.1.tgz"
+  integrity sha512-VyhnebXciFV2DESc+p6B+y0LjSm0krU4OgJN44qFAhBY0TJ+1V61tYD2+wHusZ6F9n5K+vl8k0sTy7PEfV4qpg==
+  dependencies:
+    cross-spawn "^7.0.3"
+    get-stream "^8.0.1"
+    human-signals "^5.0.0"
+    is-stream "^3.0.0"
+    merge-stream "^2.0.0"
+    npm-run-path "^5.1.0"
+    onetime "^6.0.0"
+    signal-exit "^4.1.0"
+    strip-final-newline "^3.0.0"
+
 exit@^0.1.2:
   version "0.1.2"
   resolved "https://registry.npmjs.org/exit/-/exit-0.1.2.tgz"
@@ -6739,7 +7054,12 @@ fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3:
   resolved "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz"
   integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==
 
-fast-glob@^3.2.11, fast-glob@^3.2.12, fast-glob@^3.2.9, fast-glob@^3.3.0:
+fast-equals@^5.0.1:
+  version "5.0.1"
+  resolved "https://registry.npmjs.org/fast-equals/-/fast-equals-5.0.1.tgz"
+  integrity sha512-WF1Wi8PwwSY7/6Kx0vKXtw8RwuSGoM1bvDaJbu7MxDlR1vovZjIAKrnzyrThgAjm6JDTu0fVgWXDlMGspodfoQ==
+
+fast-glob@^3.2.11, fast-glob@^3.2.12, fast-glob@^3.2.5, fast-glob@^3.3.2:
   version "3.3.2"
   resolved "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.2.tgz"
   integrity sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==
@@ -6750,6 +7070,17 @@ fast-glob@^3.2.11, fast-glob@^3.2.12, fast-glob@^3.2.9, fast-glob@^3.3.0:
     merge2 "^1.3.0"
     micromatch "^4.0.4"
 
+fast-glob@3.3.1:
+  version "3.3.1"
+  resolved "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.1.tgz"
+  integrity sha512-kNFPyjhh5cKjrUltxs+wFx+ZkbRaxxmZ+X0ZU31SOsxCEtP9VPgtq2teZw1DebupL5GmDaNQ6yKMMVcM41iqDg==
+  dependencies:
+    "@nodelib/fs.stat" "^2.0.2"
+    "@nodelib/fs.walk" "^1.2.3"
+    glob-parent "^5.1.2"
+    merge2 "^1.3.0"
+    micromatch "^4.0.4"
+
 fast-json-parse@^1.0.3:
   version "1.0.3"
   resolved "https://registry.npmjs.org/fast-json-parse/-/fast-json-parse-1.0.3.tgz"
@@ -6791,12 +7122,12 @@ fb-watchman@^2.0.0:
   dependencies:
     bser "2.1.1"
 
-file-entry-cache@^6.0.1:
-  version "6.0.1"
-  resolved "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-6.0.1.tgz"
-  integrity sha512-7Gps/XWymbLk2QLYK4NzpMOrYjMhdIxXuIvy2QBsLE6ljuodKvdkWs/cpyJJ3CVIVpH0Oi1Hvg1ovbMzLdFBBg==
+file-entry-cache@^8.0.0:
+  version "8.0.0"
+  resolved "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-8.0.0.tgz"
+  integrity sha512-XXTUwCvisa5oacNGRP9SfNtYBNAMi+RPwBFmblZEF7N7swHYQS6/Zfk7SRwx4D5j3CH211YNRco1DEMNVfZCnQ==
   dependencies:
-    flat-cache "^3.0.4"
+    flat-cache "^4.0.0"
 
 filesize@^10.0.12:
   version "10.1.6"
@@ -6832,7 +7163,20 @@ find-cache-dir@^4.0.0:
     common-path-prefix "^3.0.0"
     pkg-dir "^7.0.0"
 
-find-up@^4.0.0, find-up@^4.1.0:
+find-up-simple@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/find-up-simple/-/find-up-simple-1.0.0.tgz"
+  integrity sha512-q7Us7kcjj2VMePAa02hDAF6d+MzsdsAWEwYyOpwUtlerRBkOEPBCRZrAV4XfcSN8fHAgaD0hP7miwoay6DCprw==
+
+find-up@^4.0.0:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz"
+  integrity sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==
+  dependencies:
+    locate-path "^5.0.0"
+    path-exists "^4.0.0"
+
+find-up@^4.1.0:
   version "4.1.0"
   resolved "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz"
   integrity sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==
@@ -6864,10 +7208,18 @@ flat-cache@^3.0.4:
     flatted "^3.1.0"
     rimraf "^3.0.2"
 
-flatted@^3.1.0:
-  version "3.2.7"
-  resolved "https://registry.npmjs.org/flatted/-/flatted-3.2.7.tgz"
-  integrity sha512-5nqDSxl8nn5BSNxyR3n4I6eDmbolI6WT+QqR547RwxQapgjQBmtktdP+HTBb/a/zLsbzERTONyUB5pefh5TtjQ==
+flat-cache@^4.0.0:
+  version "4.0.1"
+  resolved "https://registry.npmjs.org/flat-cache/-/flat-cache-4.0.1.tgz"
+  integrity sha512-f7ccFPK3SXFHpx15UIGyRJ/FJQctuKZ0zVuN3frBo4HnK3cay9VEW0R6yPYFHC0AgqhukPzKjq22t5DmAyqGyw==
+  dependencies:
+    flatted "^3.2.9"
+    keyv "^4.5.4"
+
+flatted@^3.1.0, flatted@^3.2.9:
+  version "3.3.2"
+  resolved "https://registry.npmjs.org/flatted/-/flatted-3.3.2.tgz"
+  integrity sha512-AiwGJM8YcNOaobumgtng+6NHuOqC3A7MixFeDafM3X9cIUM+xUXoS5Vfgf+OihAYe20fxqNM9yPBXJzRtZ/4eA==
 
 for-each@^0.3.3:
   version "0.3.3"
@@ -6876,6 +7228,14 @@ for-each@^0.3.3:
   dependencies:
     is-callable "^1.1.3"
 
+foreground-child@^3.1.0:
+  version "3.3.0"
+  resolved "https://registry.npmjs.org/foreground-child/-/foreground-child-3.3.0.tgz"
+  integrity sha512-Ld2g8rrAyMYFXBhEqMz8ZAHBi4J4uS1i/CxGMDnjyFWddMXLVcDp051DZfu+t7+ab7Wv6SMqpWmyFIj5UbfFvg==
+  dependencies:
+    cross-spawn "^7.0.0"
+    signal-exit "^4.0.1"
+
 fork-ts-checker-webpack-plugin@^8.0.0:
   version "8.0.0"
   resolved "https://registry.npmjs.org/fork-ts-checker-webpack-plugin/-/fork-ts-checker-webpack-plugin-8.0.0.tgz"
@@ -6908,10 +7268,10 @@ format@^0.2.0:
   resolved "https://registry.npmjs.org/format/-/format-0.2.2.tgz"
   integrity sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww==
 
-fraction.js@^4.2.0:
-  version "4.2.0"
-  resolved "https://registry.npmjs.org/fraction.js/-/fraction.js-4.2.0.tgz"
-  integrity sha512-MhLuK+2gUcnZe8ZHlaaINnQLl0xRIGRfcGk2yl8xoQAfHrSsL3rYu6FCmBdkdbhc9EPlwyGHewaRsvwRMJtAlA==
+fraction.js@^4.3.7:
+  version "4.3.7"
+  resolved "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz"
+  integrity sha512-ZsDfxO51wGAXREY55a7la9LScWpwv9RxIrYABrlvOFBlH/ShPnrtsXeuUIfXKKOVicNxQ+o8JTbJvjS4M89yew==
 
 fs-extra@^10.0.0:
   version "10.1.0"
@@ -6922,13 +7282,6 @@ fs-extra@^10.0.0:
     jsonfile "^6.0.1"
     universalify "^2.0.0"
 
-fs-minipass@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/fs-minipass/-/fs-minipass-2.1.0.tgz"
-  integrity sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==
-  dependencies:
-    minipass "^3.0.0"
-
 fs-monkey@^1.0.4:
   version "1.0.6"
   resolved "https://registry.npmjs.org/fs-monkey/-/fs-monkey-1.0.6.tgz"
@@ -6944,41 +7297,28 @@ fsevents@^2.3.2, fsevents@~2.3.2:
   resolved "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz"
   integrity sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==
 
-function-bind@^1.1.1, function-bind@^1.1.2:
+function-bind@^1.1.2:
   version "1.1.2"
   resolved "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz"
   integrity sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==
 
-function.prototype.name@^1.1.5, function.prototype.name@^1.1.6:
-  version "1.1.6"
-  resolved "https://registry.npmjs.org/function.prototype.name/-/function.prototype.name-1.1.6.tgz"
-  integrity sha512-Z5kx79swU5P27WEayXM1tBi5Ze/lbIyiNgU3qyXUOf9b2rgXYyF9Dy9Cx+IQv/Lc8WCG6L82zwUPpSS9hGehIg==
+function.prototype.name@^1.1.6, function.prototype.name@^1.1.8:
+  version "1.1.8"
+  resolved "https://registry.npmjs.org/function.prototype.name/-/function.prototype.name-1.1.8.tgz"
+  integrity sha512-e5iwyodOHhbMr/yNrc7fDYG4qlbIvI5gajyzPnb5TCwyhjApznQh1BMFou9b30SevY43gCJKXycoCBjMbsuW0Q==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    define-properties "^1.2.1"
     functions-have-names "^1.2.3"
+    hasown "^2.0.2"
+    is-callable "^1.2.7"
 
 functions-have-names@^1.2.3:
   version "1.2.3"
   resolved "https://registry.npmjs.org/functions-have-names/-/functions-have-names-1.2.3.tgz"
   integrity sha512-xckBUXyTIqT97tq2x2AMb+g163b5JFysYk0x4qxNFwbfQkmNZoiRHb6sPzI9/QV33WeuvVYBUIiD4NzNIyqaRQ==
 
-gauge@^3.0.0:
-  version "3.0.2"
-  resolved "https://registry.npmjs.org/gauge/-/gauge-3.0.2.tgz"
-  integrity sha512-+5J6MS/5XksCuXq++uFRsnUd7Ovu1XenbeuIuNRJxYWjgQbPuFhT14lAvsWfqfAmnwluf1OwMjz39HjfLPci0Q==
-  dependencies:
-    aproba "^1.0.3 || ^2.0.0"
-    color-support "^1.1.2"
-    console-control-strings "^1.0.0"
-    has-unicode "^2.0.1"
-    object-assign "^4.1.1"
-    signal-exit "^3.0.0"
-    string-width "^4.2.3"
-    strip-ansi "^6.0.1"
-    wide-align "^1.1.2"
-
 gensync@^1.0.0-beta.2:
   version "1.0.0-beta.2"
   resolved "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz"
@@ -6989,16 +7329,26 @@ get-caller-file@^2.0.5:
   resolved "https://registry.npmjs.org/get-caller-file/-/get-caller-file-2.0.5.tgz"
   integrity sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==
 
-get-intrinsic@^1.1.1, get-intrinsic@^1.1.3, get-intrinsic@^1.2.0, get-intrinsic@^1.2.1, get-intrinsic@^1.2.2, get-intrinsic@^1.2.4:
-  version "1.2.4"
-  resolved "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.4.tgz"
-  integrity sha512-5uYhsJH8VJBTv7oslg4BznJYhDoRI6waYCxMmCdnTrcCrHA/fCFKoTFz2JKKE0HdDFUF7/oQuhzumXJK7paBRQ==
+get-east-asian-width@^1.0.0:
+  version "1.3.0"
+  resolved "https://registry.npmjs.org/get-east-asian-width/-/get-east-asian-width-1.3.0.tgz"
+  integrity sha512-vpeMIQKxczTD/0s2CdEWHcb0eeJe6TFjxb+J5xgX7hScxqrGuyjmv4c1D4A/gelKfyox0gJJwIHF+fLjeaM8kQ==
+
+get-intrinsic@^1.2.4, get-intrinsic@^1.2.5, get-intrinsic@^1.2.6:
+  version "1.2.6"
+  resolved "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.6.tgz"
+  integrity sha512-qxsEs+9A+u85HhllWJJFicJfPDhRmjzoYdl64aMWW9yRIJmSyxdn8IEkuIM530/7T+lv0TIHd8L6Q/ra0tEoeA==
   dependencies:
+    call-bind-apply-helpers "^1.0.1"
+    dunder-proto "^1.0.0"
+    es-define-property "^1.0.1"
     es-errors "^1.3.0"
+    es-object-atoms "^1.0.0"
     function-bind "^1.1.2"
-    has-proto "^1.0.1"
-    has-symbols "^1.0.3"
-    hasown "^2.0.0"
+    gopd "^1.2.0"
+    has-symbols "^1.1.0"
+    hasown "^2.0.2"
+    math-intrinsics "^1.0.0"
 
 get-package-type@^0.1.0:
   version "0.1.0"
@@ -7012,27 +7362,38 @@ get-stream@^5.1.0:
   dependencies:
     pump "^3.0.0"
 
-get-stream@^6.0.0, get-stream@^6.0.1:
+get-stream@^6.0.0:
   version "6.0.1"
   resolved "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz"
   integrity sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==
 
-get-symbol-description@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/get-symbol-description/-/get-symbol-description-1.0.0.tgz"
-  integrity sha512-2EmdH1YvIQiZpltCNgkuiUnyukzxM/R6NDJX31Ke3BG1Nq5b0S2PhX59UKi9vZpPDQVdqn+1IcaAwnzTT5vCjw==
-  dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.1.1"
+get-stream@^6.0.1:
+  version "6.0.1"
+  resolved "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz"
+  integrity sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==
 
-get-tsconfig@^4.5.0:
-  version "4.6.0"
-  resolved "https://registry.npmjs.org/get-tsconfig/-/get-tsconfig-4.6.0.tgz"
-  integrity sha512-lgbo68hHTQnFddybKbbs/RDRJnJT5YyGy2kQzVwbq+g67X73i+5MVTval34QxGkOe9X5Ujf1UYpCaphLyltjEg==
+get-stream@^8.0.1:
+  version "8.0.1"
+  resolved "https://registry.npmjs.org/get-stream/-/get-stream-8.0.1.tgz"
+  integrity sha512-VaUJspBffn/LMCJVoMvSAdmscJyS1auj5Zulnn5UoYcY531UWmdwhRWkcGKnGU93m5HSXP9LP2usOryrBtQowA==
+
+get-symbol-description@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/get-symbol-description/-/get-symbol-description-1.1.0.tgz"
+  integrity sha512-w9UMqWwJxHNOvoNzSJ2oPF5wvYcvP7jUvYzhp67yEhTi17ZDBBC1z9pTdGuzjD+EFIqLSYRweZjqfiPzQ06Ebg==
+  dependencies:
+    call-bound "^1.0.3"
+    es-errors "^1.3.0"
+    get-intrinsic "^1.2.6"
+
+get-tsconfig@^4.5.0, get-tsconfig@^4.7.3, get-tsconfig@^4.8.1:
+  version "4.8.1"
+  resolved "https://registry.npmjs.org/get-tsconfig/-/get-tsconfig-4.8.1.tgz"
+  integrity sha512-k9PN+cFBmaLWtVz29SkUoqU5O0slLuHJXt/2P+tMVFT+phsSGXGkp9t3rQIqdz0e+06EHNGs3oM6ZX1s2zHxRg==
   dependencies:
     resolve-pkg-maps "^1.0.0"
 
-glob-parent@^5.1.2, glob-parent@~5.1.2:
+glob-parent@^5.1.2:
   version "5.1.2"
   resolved "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz"
   integrity sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==
@@ -7046,24 +7407,31 @@ glob-parent@^6.0.2:
   dependencies:
     is-glob "^4.0.3"
 
+glob-parent@~5.1.2:
+  version "5.1.2"
+  resolved "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz"
+  integrity sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==
+  dependencies:
+    is-glob "^4.0.1"
+
 glob-to-regexp@^0.4.1:
   version "0.4.1"
   resolved "https://registry.npmjs.org/glob-to-regexp/-/glob-to-regexp-0.4.1.tgz"
   integrity sha512-lkX1HJXwyMcprw/5YUZc2s7DrpAiHB21/V+E1rHUrVNokkvB6bqMzT0VfV6/86ZNabt1k14YOIaT7nDvOX3Iiw==
 
-glob@7.1.6:
-  version "7.1.6"
-  resolved "https://registry.npmjs.org/glob/-/glob-7.1.6.tgz"
-  integrity sha512-LwaxwyZ72Lk7vZINtNNrywX0ZuLyStrdDtabefZKAY5ZGJhVtgdznluResxNmPitE0SAO+O26sWTHeKSI2wMBA==
+glob@^10.3.10:
+  version "10.4.5"
+  resolved "https://registry.npmjs.org/glob/-/glob-10.4.5.tgz"
+  integrity sha512-7Bv8RF0k6xjo7d4A/PxYLbUCfb6c+Vpd2/mB2yRDlew7Jb5hEXiCD9ibfO7wpk8i4sevK6DFny9h7EYbM3/sHg==
   dependencies:
-    fs.realpath "^1.0.0"
-    inflight "^1.0.4"
-    inherits "2"
-    minimatch "^3.0.4"
-    once "^1.3.0"
-    path-is-absolute "^1.0.0"
+    foreground-child "^3.1.0"
+    jackspeak "^3.1.2"
+    minimatch "^9.0.4"
+    minipass "^7.1.2"
+    package-json-from-dist "^1.0.0"
+    path-scurry "^1.11.1"
 
-glob@7.1.7, glob@^7.1.3, glob@^7.1.4:
+glob@^7.1.3, glob@^7.1.4:
   version "7.1.7"
   resolved "https://registry.npmjs.org/glob/-/glob-7.1.7.tgz"
   integrity sha512-OvD9ENzPLbegENnYP5UUfJIirTg4+XwMWGaQfQTY0JenxNvvIKP3U3/tAQSPIu/lHxXYSZmpXlUHeqAIdKzBLQ==
@@ -7080,36 +7448,30 @@ globals@^11.1.0:
   resolved "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz"
   integrity sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==
 
-globals@^13.19.0:
+globals@^13.24.0:
   version "13.24.0"
   resolved "https://registry.npmjs.org/globals/-/globals-13.24.0.tgz"
   integrity sha512-AhO5QUcj8llrbG09iWhPU2B204J1xnPeL8kQmVorSsy+Sjj1sk8gIyh6cUocGmH4L0UuhAJy+hJMRA4mgA4mFQ==
   dependencies:
     type-fest "^0.20.2"
 
-globals@^15.13.0:
-  version "15.13.0"
-  resolved "https://registry.npmjs.org/globals/-/globals-15.13.0.tgz"
-  integrity sha512-49TewVEz0UxZjr1WYYsWpPrhyC/B/pA8Bq0fUmet2n+eR7yn0IvNzNaoBwnK6mdkzcN+se7Ez9zUgULTz2QH4g==
+globals@^14.0.0:
+  version "14.0.0"
+  resolved "https://registry.npmjs.org/globals/-/globals-14.0.0.tgz"
+  integrity sha512-oahGvuMGQlPw/ivIYBjVSrWAfWLBeku5tpPE2fOPLi+WHffIWbuh2tCjhyQhTBPMf5E9jDEH4FOmTYgYwbKwtQ==
 
-globalthis@^1.0.3:
-  version "1.0.3"
-  resolved "https://registry.npmjs.org/globalthis/-/globalthis-1.0.3.tgz"
-  integrity sha512-sFdI5LyBiNTHjRd7cGPWapiHWMOXKyuBNX/cWJ3NfzrZQVa8GI/8cofCl74AOVqq9W5kNmguTIzJ/1s2gyI9wA==
-  dependencies:
-    define-properties "^1.1.3"
+globals@^15.11.0, globals@^15.13.0, globals@^15.14.0, globals@^15.9.0:
+  version "15.14.0"
+  resolved "https://registry.npmjs.org/globals/-/globals-15.14.0.tgz"
+  integrity sha512-OkToC372DtlQeje9/zHIo5CT8lRP/FUgEOKBEhU4e0abL7J7CD24fD9ohiLN5hagG/kWCYj4K5oaxxtj2Z0Dig==
 
-globby@^11.1.0:
-  version "11.1.0"
-  resolved "https://registry.npmjs.org/globby/-/globby-11.1.0.tgz"
-  integrity sha512-jhIXaOzy1sb8IyocaruWSn1TjmnBVs8Ayhcy83rmxNJ8q2uWKCAj3CnJY+KpGSXCueAPc0i05kVvVKtP1t9S3g==
+globalthis@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.npmjs.org/globalthis/-/globalthis-1.0.4.tgz"
+  integrity sha512-DpLKbNU4WylpxJykQujfCcwYWiV/Jhm50Goo0wrVILAv5jOr9d+H+UR3PhSCD2rCCEIg0uc+G+muBTwD54JhDQ==
   dependencies:
-    array-union "^2.1.0"
-    dir-glob "^3.0.1"
-    fast-glob "^3.2.9"
-    ignore "^5.2.0"
-    merge2 "^1.4.1"
-    slash "^3.0.0"
+    define-properties "^1.2.1"
+    gopd "^1.0.1"
 
 globby@^13.1.3:
   version "13.1.4"
@@ -7122,12 +7484,10 @@ globby@^13.1.3:
     merge2 "^1.4.1"
     slash "^4.0.0"
 
-gopd@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/gopd/-/gopd-1.0.1.tgz"
-  integrity sha512-d65bNlIadxvpb/A2abVdlqKqV563juRnZ1Wtk6s1sIR8uNsXR70xqIzVqxVf1eTqDunwT2MkczEeaezCKTZhwA==
-  dependencies:
-    get-intrinsic "^1.1.3"
+gopd@^1.0.1, gopd@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.npmjs.org/gopd/-/gopd-1.2.0.tgz"
+  integrity sha512-ZUKRh6/kUFoAiTAtTYPZJ3hw9wNxx+BIBOijnlG9PnrJsCcSjs1wyyD6vJpaYtgnzDrKYRSqf3OO6Rfa93xsRg==
 
 got@^11.8.6:
   version "11.8.6"
@@ -7151,11 +7511,6 @@ graceful-fs@^4.1.2, graceful-fs@^4.1.6, graceful-fs@^4.2.0, graceful-fs@^4.2.11,
   resolved "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz"
   integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==
 
-grapheme-splitter@^1.0.4:
-  version "1.0.4"
-  resolved "https://registry.npmjs.org/grapheme-splitter/-/grapheme-splitter-1.0.4.tgz"
-  integrity sha512-bzh50DW9kTPM00T8y4o8vQg89Di9oLJVLW/KaOGIXJWP/iqCN6WKYkbNOF04vFLJhwcpYUh9ydh/+5vpOqV4YQ==
-
 graphemer@^1.4.0:
   version "1.4.0"
   resolved "https://registry.npmjs.org/graphemer/-/graphemer-1.4.0.tgz"
@@ -7166,7 +7521,7 @@ hachure-fill@^0.5.2:
   resolved "https://registry.npmjs.org/hachure-fill/-/hachure-fill-0.5.2.tgz"
   integrity sha512-3GKBOn+m2LX9iq+JC1064cSFprJY4jL1jCXTcpnfER5HYE2l/4EfWSGzkPa/ZDBmYI0ZOEj5VHV/eKnPGkHuOg==
 
-has-bigints@^1.0.1, has-bigints@^1.0.2:
+has-bigints@^1.0.2:
   version "1.0.2"
   resolved "https://registry.npmjs.org/has-bigints/-/has-bigints-1.0.2.tgz"
   integrity sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==
@@ -7183,34 +7538,24 @@ has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
   dependencies:
     es-define-property "^1.0.0"
 
-has-proto@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/has-proto/-/has-proto-1.0.1.tgz"
-  integrity sha512-7qE+iP+O+bgF9clE5+UoBFzE65mlBiVj3tKCrlNQ0Ogwm0BjpT/gK4SlLYDMybDh5I3TCTKnPPa0oMG7JDYrhg==
-
-has-symbols@^1.0.2, has-symbols@^1.0.3:
-  version "1.0.3"
-  resolved "https://registry.npmjs.org/has-symbols/-/has-symbols-1.0.3.tgz"
-  integrity sha512-l3LCuF6MgDNwTDKkdYGEihYjt5pRPbEg46rtlmnSPlUbgmB8LOIrKJbYYFBSbnPaJexMKtiPO8hmeRjRz2Td+A==
-
-has-tostringtag@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.0.tgz"
-  integrity sha512-kFjcSNhnlGV1kyoGk7OXKSawH5JOb/LzUc5w9B02hOTO0dfFRjbHQKvg1d6cf3HbeUmtU9VbbV3qzZ2Teh97WQ==
+has-proto@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.npmjs.org/has-proto/-/has-proto-1.2.0.tgz"
+  integrity sha512-KIL7eQPfHQRC8+XluaIw7BHUwwqL19bQn4hzNgdr+1wXoU0KKj6rufu47lhY7KbJR2C6T6+PfyN0Ea7wkSS+qQ==
   dependencies:
-    has-symbols "^1.0.2"
+    dunder-proto "^1.0.0"
 
-has-unicode@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/has-unicode/-/has-unicode-2.0.1.tgz"
-  integrity sha512-8Rf9Y83NBReMnx0gFzA8JImQACstCYWUplepDa9xprwwtmgEZUF0h/i5xSA625zB/I37EtrswSST6OXxwaaIJQ==
+has-symbols@^1.0.3, has-symbols@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/has-symbols/-/has-symbols-1.1.0.tgz"
+  integrity sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ==
 
-has@^1.0.3:
-  version "1.0.3"
-  resolved "https://registry.npmjs.org/has/-/has-1.0.3.tgz"
-  integrity sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw==
+has-tostringtag@^1.0.0, has-tostringtag@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz"
+  integrity sha512-NqADB8VjPFLM2V0VvHUewwwsw0ZWBaIdgo+ieHtK3hasLz4qeCRjYcqfB6AQrBggRKppKF8L52/VqdVsO47Dlw==
   dependencies:
-    function-bind "^1.1.1"
+    has-symbols "^1.0.3"
 
 hash-base@^3.0.0, hash-base@~3.0, hash-base@~3.0.4:
   version "3.0.4"
@@ -7228,54 +7573,43 @@ hash.js@^1.0.0, hash.js@^1.0.3:
     inherits "^2.0.3"
     minimalistic-assert "^1.0.1"
 
-hasown@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/hasown/-/hasown-2.0.0.tgz"
-  integrity sha512-vUptKVTpIJhcczKBbgnS+RtcuYMB8+oNzPK2/Hp3hanz8JmpATdmmgLgSaadVREkDm+e2giHwY3ZRkyjSIDDFA==
+hasown@^2.0.0, hasown@^2.0.1, hasown@^2.0.2:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz"
+  integrity sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==
   dependencies:
     function-bind "^1.1.2"
 
-hast-util-from-dom@^4.0.0:
-  version "4.2.0"
-  resolved "https://registry.npmjs.org/hast-util-from-dom/-/hast-util-from-dom-4.2.0.tgz"
-  integrity sha512-t1RJW/OpJbCAJQeKi3Qrj1cAOLA0+av/iPFori112+0X7R3wng+jxLA+kXec8K4szqPRGI8vPxbbpEYvvpwaeQ==
+hast-util-from-dom@^5.0.0:
+  version "5.0.1"
+  resolved "https://registry.npmjs.org/hast-util-from-dom/-/hast-util-from-dom-5.0.1.tgz"
+  integrity sha512-N+LqofjR2zuzTjCPzyDUdSshy4Ma6li7p/c3pA78uTwzFgENbgbUrm2ugwsOdcjI1muO+o6Dgzp9p8WHtn/39Q==
   dependencies:
-    hastscript "^7.0.0"
+    "@types/hast" "^3.0.0"
+    hastscript "^9.0.0"
     web-namespaces "^2.0.0"
 
-hast-util-from-html-isomorphic@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/hast-util-from-html-isomorphic/-/hast-util-from-html-isomorphic-1.0.0.tgz"
-  integrity sha512-Yu480AKeOEN/+l5LA674a+7BmIvtDj24GvOt7MtQWuhzUwlaaRWdEPXAh3Qm5vhuthpAipFb2vTetKXWOjmTvw==
+hast-util-from-html-isomorphic@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/hast-util-from-html-isomorphic/-/hast-util-from-html-isomorphic-2.0.0.tgz"
+  integrity sha512-zJfpXq44yff2hmE0XmwEOzdWin5xwH+QIhMLOScpX91e/NSGPsAzNCvLQDIEPyO2TXi+lBmU6hjLIhV8MwP2kw==
   dependencies:
-    "@types/hast" "^2.0.0"
-    hast-util-from-dom "^4.0.0"
-    hast-util-from-html "^1.0.0"
-    unist-util-remove-position "^4.0.0"
+    "@types/hast" "^3.0.0"
+    hast-util-from-dom "^5.0.0"
+    hast-util-from-html "^2.0.0"
+    unist-util-remove-position "^5.0.0"
 
-hast-util-from-html@^1.0.0:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/hast-util-from-html/-/hast-util-from-html-1.0.2.tgz"
-  integrity sha512-LhrTA2gfCbLOGJq2u/asp4kwuG0y6NhWTXiPKP+n0qNukKy7hc10whqqCFfyvIA1Q5U5d0sp9HhNim9gglEH4A==
+hast-util-from-html@^2.0.0:
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/hast-util-from-html/-/hast-util-from-html-2.0.3.tgz"
+  integrity sha512-CUSRHXyKjzHov8yKsQjGOElXy/3EKpyX56ELnkHH34vDVw1N1XSQ1ZcAvTyAPtGqLTuKP/uxM+aLkSPqF/EtMw==
   dependencies:
-    "@types/hast" "^2.0.0"
-    hast-util-from-parse5 "^7.0.0"
+    "@types/hast" "^3.0.0"
+    devlop "^1.1.0"
+    hast-util-from-parse5 "^8.0.0"
     parse5 "^7.0.0"
-    vfile "^5.0.0"
-    vfile-message "^3.0.0"
-
-hast-util-from-parse5@^7.0.0:
-  version "7.1.2"
-  resolved "https://registry.npmjs.org/hast-util-from-parse5/-/hast-util-from-parse5-7.1.2.tgz"
-  integrity sha512-Nz7FfPBuljzsN3tCQ4kCBKqdNhQE2l0Tn+X1ubgKBPRoiDIu1mL08Cfw4k7q71+Duyaw7DXDN+VTAp4Vh3oCOw==
-  dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/unist" "^2.0.0"
-    hastscript "^7.0.0"
-    property-information "^6.0.0"
-    vfile "^5.0.0"
-    vfile-location "^4.0.0"
-    web-namespaces "^2.0.0"
+    vfile "^6.0.0"
+    vfile-message "^4.0.0"
 
 hast-util-from-parse5@^8.0.0:
   version "8.0.1"
@@ -7291,26 +7625,18 @@ hast-util-from-parse5@^8.0.0:
     vfile-location "^5.0.0"
     web-namespaces "^2.0.0"
 
-hast-util-is-element@^2.0.0:
-  version "2.1.3"
-  resolved "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-2.1.3.tgz"
-  integrity sha512-O1bKah6mhgEq2WtVMk+Ta5K7pPMqsBBlmzysLdcwKVrqzZQ0CHqUPiIVspNhAG1rvxpvJjtGee17XfauZYKqVA==
+hast-util-is-element@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-3.0.0.tgz"
+  integrity sha512-Val9mnv2IWpLbNPqc/pUem+a7Ipj2aHacCwgNfTiK0vJKl0LF+4Ba4+v1oPHFpf3bLYmreq0/l3Gud9S5OH42g==
   dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/hast" "^3.0.0"
 
 hast-util-parse-selector@^2.0.0:
   version "2.2.5"
   resolved "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz"
   integrity sha512-7j6mrk/qqkSehsM92wQjdIgWM2/BW61u/53G6xmC8i1OmEdKLHbk419QKQUjz6LglWsfqoiHmyMRkP1BGjecNQ==
 
-hast-util-parse-selector@^3.0.0:
-  version "3.1.1"
-  resolved "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-3.1.1.tgz"
-  integrity sha512-jdlwBjEexy1oGz0aJ2f4GKMaVKkA9jwjr4MjAAI22E5fM/TXVZHuS5OpONtdeIkRKqAaryQ2E9xNQxijoThSZA==
-  dependencies:
-    "@types/hast" "^2.0.0"
-
 hast-util-parse-selector@^4.0.0:
   version "4.0.0"
   resolved "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-4.0.0.tgz"
@@ -7337,27 +7663,49 @@ hast-util-raw@^9.0.0:
     web-namespaces "^2.0.0"
     zwitch "^2.0.0"
 
-hast-util-to-estree@^2.0.0:
-  version "2.3.3"
-  resolved "https://registry.npmjs.org/hast-util-to-estree/-/hast-util-to-estree-2.3.3.tgz"
-  integrity sha512-ihhPIUPxN0v0w6M5+IiAZZrn0LH2uZomeWwhn7uP7avZC6TE7lIiEh2yBMPr5+zi1aUCXq6VoYRgs2Bw9xmycQ==
+hast-util-to-estree@^3.0.0:
+  version "3.1.0"
+  resolved "https://registry.npmjs.org/hast-util-to-estree/-/hast-util-to-estree-3.1.0.tgz"
+  integrity sha512-lfX5g6hqVh9kjS/B9E2gSkvHH4SZNiQFiqWS0x9fENzEl+8W12RqdRxX6d/Cwxi30tPQs3bIO+aolQJNp1bIyw==
   dependencies:
     "@types/estree" "^1.0.0"
     "@types/estree-jsx" "^1.0.0"
-    "@types/hast" "^2.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/hast" "^3.0.0"
     comma-separated-tokens "^2.0.0"
-    estree-util-attach-comments "^2.0.0"
-    estree-util-is-identifier-name "^2.0.0"
-    hast-util-whitespace "^2.0.0"
-    mdast-util-mdx-expression "^1.0.0"
-    mdast-util-mdxjs-esm "^1.0.0"
+    devlop "^1.0.0"
+    estree-util-attach-comments "^3.0.0"
+    estree-util-is-identifier-name "^3.0.0"
+    hast-util-whitespace "^3.0.0"
+    mdast-util-mdx-expression "^2.0.0"
+    mdast-util-mdx-jsx "^3.0.0"
+    mdast-util-mdxjs-esm "^2.0.0"
     property-information "^6.0.0"
     space-separated-tokens "^2.0.0"
-    style-to-object "^0.4.1"
-    unist-util-position "^4.0.0"
+    style-to-object "^0.4.0"
+    unist-util-position "^5.0.0"
     zwitch "^2.0.0"
 
+hast-util-to-jsx-runtime@^2.0.0:
+  version "2.3.2"
+  resolved "https://registry.npmjs.org/hast-util-to-jsx-runtime/-/hast-util-to-jsx-runtime-2.3.2.tgz"
+  integrity sha512-1ngXYb+V9UT5h+PxNRa1O1FYguZK/XL+gkeqvp7EdHlB9oHUG0eYRo/vY5inBdcqo3RkPMC58/H94HvkbfGdyg==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/unist" "^3.0.0"
+    comma-separated-tokens "^2.0.0"
+    devlop "^1.0.0"
+    estree-util-is-identifier-name "^3.0.0"
+    hast-util-whitespace "^3.0.0"
+    mdast-util-mdx-expression "^2.0.0"
+    mdast-util-mdx-jsx "^3.0.0"
+    mdast-util-mdxjs-esm "^2.0.0"
+    property-information "^6.0.0"
+    space-separated-tokens "^2.0.0"
+    style-to-object "^1.0.0"
+    unist-util-position "^5.0.0"
+    vfile-message "^4.0.0"
+
 hast-util-to-parse5@^8.0.0:
   version "8.0.0"
   resolved "https://registry.npmjs.org/hast-util-to-parse5/-/hast-util-to-parse5-8.0.0.tgz"
@@ -7371,20 +7719,22 @@ hast-util-to-parse5@^8.0.0:
     web-namespaces "^2.0.0"
     zwitch "^2.0.0"
 
-hast-util-to-text@^3.1.0:
-  version "3.1.2"
-  resolved "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-3.1.2.tgz"
-  integrity sha512-tcllLfp23dJJ+ju5wCCZHVpzsQQ43+moJbqVX3jNWPB7z/KFC4FyZD6R7y94cHL6MQ33YtMZL8Z0aIXXI4XFTw==
+hast-util-to-text@^4.0.0:
+  version "4.0.2"
+  resolved "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-4.0.2.tgz"
+  integrity sha512-KK6y/BN8lbaq654j7JgBydev7wuNMcID54lkRav1P0CaE1e47P72AWWPiGKXTJU271ooYzcvTAn/Zt0REnvc7A==
   dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/unist" "^2.0.0"
-    hast-util-is-element "^2.0.0"
-    unist-util-find-after "^4.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/unist" "^3.0.0"
+    hast-util-is-element "^3.0.0"
+    unist-util-find-after "^5.0.0"
 
-hast-util-whitespace@^2.0.0:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/hast-util-whitespace/-/hast-util-whitespace-2.0.1.tgz"
-  integrity sha512-nAxA0v8+vXSBDt3AnRUNjyRIQ0rD+ntpbAp4LnPkumc5M9yUbSMa4XDU9Q6etY4f1Wp4bNgvc1yjiZtsTTrSng==
+hast-util-whitespace@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/hast-util-whitespace/-/hast-util-whitespace-3.0.0.tgz"
+  integrity sha512-88JUN06ipLwsnv+dVn+OIYOvAuvBMy/Qoi6O7mQHxdPXpjy+Cd6xRkWwux7DKO+4sYILtLBRIKgsdpS2gQc7qw==
+  dependencies:
+    "@types/hast" "^3.0.0"
 
 hastscript@^6.0.0:
   version "6.0.0"
@@ -7397,17 +7747,6 @@ hastscript@^6.0.0:
     property-information "^5.0.0"
     space-separated-tokens "^1.0.0"
 
-hastscript@^7.0.0:
-  version "7.2.0"
-  resolved "https://registry.npmjs.org/hastscript/-/hastscript-7.2.0.tgz"
-  integrity sha512-TtYPq24IldU8iKoJQqvZOuhi5CyCQRAbvDOX0x1eW6rsHSxa/1i2CCiptNTotGHJ3VoHRGmqiv6/D3q113ikkw==
-  dependencies:
-    "@types/hast" "^2.0.0"
-    comma-separated-tokens "^2.0.0"
-    hast-util-parse-selector "^3.0.0"
-    property-information "^6.0.0"
-    space-separated-tokens "^2.0.0"
-
 hastscript@^8.0.0:
   version "8.0.0"
   resolved "https://registry.npmjs.org/hastscript/-/hastscript-8.0.0.tgz"
@@ -7419,6 +7758,17 @@ hastscript@^8.0.0:
     property-information "^6.0.0"
     space-separated-tokens "^2.0.0"
 
+hastscript@^9.0.0:
+  version "9.0.0"
+  resolved "https://registry.npmjs.org/hastscript/-/hastscript-9.0.0.tgz"
+  integrity sha512-jzaLBGavEDKHrc5EfFImKN7nZKKBdSLIdGvCwDZ9TfzbF2ffXiov8CKE445L2Z1Ek2t/m4SKQ2j6Ipv7NyUolw==
+  dependencies:
+    "@types/hast" "^3.0.0"
+    comma-separated-tokens "^2.0.0"
+    hast-util-parse-selector "^4.0.0"
+    property-information "^6.0.0"
+    space-separated-tokens "^2.0.0"
+
 he@^1.2.0:
   version "1.2.0"
   resolved "https://registry.npmjs.org/he/-/he-1.2.0.tgz"
@@ -7429,6 +7779,11 @@ highlight.js@^10.4.1, highlight.js@~10.7.0:
   resolved "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz"
   integrity sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==
 
+highlightjs-vue@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/highlightjs-vue/-/highlightjs-vue-1.0.0.tgz"
+  integrity sha512-PDEfEF102G23vHmPhLyPboFCD+BkMGu+GuJe2d9/eH4FsCwvgBpnc9n0pGE+ffKdph38s6foEZiEjdgHdzp+IA==
+
 hmac-drbg@^1.0.1:
   version "1.0.1"
   resolved "https://registry.npmjs.org/hmac-drbg/-/hmac-drbg-1.0.1.tgz"
@@ -7487,6 +7842,11 @@ html-parse-stringify@^3.0.1:
   dependencies:
     void-elements "3.1.0"
 
+html-url-attributes@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.npmjs.org/html-url-attributes/-/html-url-attributes-3.0.1.tgz"
+  integrity sha512-ol6UPyBWqsrO6EJySPz2O7ZSr856WDrEzM5zMqp+FJJLGMW35cLYmmZnl0vztAZxRUoNZJFTCohfjuIJ8I4QBQ==
+
 html-void-elements@^3.0.0:
   version "3.0.0"
   resolved "https://registry.npmjs.org/html-void-elements/-/html-void-elements-3.0.0.tgz"
@@ -7513,16 +7873,6 @@ htmlparser2@^6.1.0:
     domutils "^2.5.2"
     entities "^2.0.0"
 
-htmlparser2@^8.0.1:
-  version "8.0.2"
-  resolved "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz"
-  integrity sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==
-  dependencies:
-    domelementtype "^2.3.0"
-    domhandler "^5.0.3"
-    domutils "^3.0.1"
-    entities "^4.4.0"
-
 http-cache-semantics@^4.0.0:
   version "4.1.1"
   resolved "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-4.1.1.tgz"
@@ -7550,7 +7900,7 @@ https-browserify@^1.0.0:
   resolved "https://registry.npmjs.org/https-browserify/-/https-browserify-1.0.0.tgz"
   integrity sha512-J+FkSdyD+0mA0N+81tMotaRMfSL9SGi+xpD3T6YApKsc3bGSXJlfXri3VyFOeYkfLRQisDk1W+jIFFKBeUBbBg==
 
-https-proxy-agent@^5.0.0, https-proxy-agent@^5.0.1:
+https-proxy-agent@^5.0.1:
   version "5.0.1"
   resolved "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz"
   integrity sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==
@@ -7568,24 +7918,29 @@ human-signals@^4.3.0:
   resolved "https://registry.npmjs.org/human-signals/-/human-signals-4.3.1.tgz"
   integrity sha512-nZXjEF2nbo7lIw3mgYjItAfgQXog3OjJogSbKa2CQIIvSGWcKgeJnQlNXip6NglNzYH45nSRiEVimMvYL8DDqQ==
 
-husky@^8.0.3:
-  version "8.0.3"
-  resolved "https://registry.npmjs.org/husky/-/husky-8.0.3.tgz"
-  integrity sha512-+dQSyqPh4x1hlO1swXBiNb2HzTDN1I2IGLQx1GrBuiqFJfoMrnZWwVmatvSiO+Iz8fBUnf+lekwNo4c2LlXItg==
+human-signals@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/human-signals/-/human-signals-5.0.0.tgz"
+  integrity sha512-AXcZb6vzzrFAUE61HnN4mpLqd/cSIwNQjtNWR0euPm6y0iqx3G4gOXaIDdtdDwZmhwe82LA6+zinmW4UBWVePQ==
 
-i18next-resources-to-backend@^1.1.3:
-  version "1.1.4"
-  resolved "https://registry.npmjs.org/i18next-resources-to-backend/-/i18next-resources-to-backend-1.1.4.tgz"
-  integrity sha512-hMyr9AOmIea17AOaVe1srNxK/l3mbk81P7Uf3fdcjlw3ehZy3UNTd0OP3EEi6yu4J02kf9jzhCcjokz6AFlEOg==
-  dependencies:
-    "@babel/runtime" "^7.21.5"
+husky@^9.1.6:
+  version "9.1.7"
+  resolved "https://registry.npmjs.org/husky/-/husky-9.1.7.tgz"
+  integrity sha512-5gs5ytaNjBrh5Ow3zrvdUUY+0VxIuWVL4i9irt6friV+BqdCfmV11CQTWMiBYWHbXhco+J1kHfTOUkePhCDvMA==
 
-i18next@^22.4.13:
-  version "22.5.1"
-  resolved "https://registry.npmjs.org/i18next/-/i18next-22.5.1.tgz"
-  integrity sha512-8TGPgM3pAD+VRsMtUMNknRz3kzqwp/gPALrWMsDnmC1mKqJwpWyooQRLMcbTwq8z8YwSmuj+ZYvc+xCuEpkssA==
+i18next-resources-to-backend@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/i18next-resources-to-backend/-/i18next-resources-to-backend-1.2.1.tgz"
+  integrity sha512-okHbVA+HZ7n1/76MsfhPqDou0fptl2dAlhRDu2ideXloRRduzHsqDOznJBef+R3DFZnbvWoBW+KxJ7fnFjd6Yw==
   dependencies:
-    "@babel/runtime" "^7.20.6"
+    "@babel/runtime" "^7.23.2"
+
+i18next@^23.16.4, "i18next@>= 23.2.3":
+  version "23.16.8"
+  resolved "https://registry.npmjs.org/i18next/-/i18next-23.16.8.tgz"
+  integrity sha512-06r/TitrM88Mg5FdUXAKL96dJMzgqLE5dv3ryBAra4KCwD9mJ4ndOTS95ZuymIGoE+2hzfdaMak2X11/es7ZWg==
+  dependencies:
+    "@babel/runtime" "^7.23.2"
 
 iconv-lite@0.6, iconv-lite@0.6.3:
   version "0.6.3"
@@ -7604,10 +7959,10 @@ ieee754@^1.2.1:
   resolved "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz"
   integrity sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==
 
-ignore@^5.0.5, ignore@^5.1.1, ignore@^5.2.0:
-  version "5.2.4"
-  resolved "https://registry.npmjs.org/ignore/-/ignore-5.2.4.tgz"
-  integrity sha512-MAb38BcSbH0eHNBxn7ql2NH/kX33OkB3lZ1BNdh7ENeRChHTYsTvWrMubiIAMNS2llXEEgZ1MUOBtXChP3kaFQ==
+ignore@^5.2.0, ignore@^5.2.4, ignore@^5.3.1, ignore@^5.3.2:
+  version "5.3.2"
+  resolved "https://registry.npmjs.org/ignore/-/ignore-5.3.2.tgz"
+  integrity sha512-hsBTNUqQTDwkWtcdYI2i06Y/nUBEsNEDJKjWdigLvegy8kDuJAS8uRlpkkcQpyEXL0Z/pjDy5HBmMjRCJ2gq+g==
 
 image-size@^1.0.0:
   version "1.1.1"
@@ -7621,15 +7976,15 @@ immediate@~3.0.5:
   resolved "https://registry.npmjs.org/immediate/-/immediate-3.0.6.tgz"
   integrity sha512-XXOFtyqDjNDAQxVfYxuF7g9Il/IbWmmlQg2MYKOH8ExIT1qg6xc4zyS3HaEEATgs1btfzxq15ciUiY7gjSXRGQ==
 
-immer@^9.0.19:
+immer@^9.0.19, immer@>=9.0.6:
   version "9.0.21"
   resolved "https://registry.npmjs.org/immer/-/immer-9.0.21.tgz"
   integrity sha512-bc4NBHqOqSfRW7POMkHd51LvClaeMXpm8dx0e8oE2GORbq5aRK7Bxl4FyzVLdGtLmvLKL7BTDBG5ACQm4HWjTA==
 
-immutable@^4.0.0:
-  version "4.3.0"
-  resolved "https://registry.npmjs.org/immutable/-/immutable-4.3.0.tgz"
-  integrity sha512-0AOCmOip+xgJwEVTQj1EfiDDOkPmuyllDuTuEX+DDXUgapLAsBIfkg3sxCYyCEA8mQqZrrxPUGjcOQ2JS3WLkg==
+immutable@^5.0.2:
+  version "5.0.3"
+  resolved "https://registry.npmjs.org/immutable/-/immutable-5.0.3.tgz"
+  integrity sha512-P8IdPQHq3lA1xVeBRi5VPqUm5HDgKnx0Ru51wZz5mjxHr5n3RWhjIpOFU7ybkUxfB+5IToy+OLaHYDBIWsv+uw==
 
 import-fresh@^3.2.1, import-fresh@^3.3.0:
   version "3.3.0"
@@ -7665,7 +8020,7 @@ inflight@^1.0.4:
     once "^1.3.0"
     wrappy "1"
 
-inherits@2, inherits@^2.0.1, inherits@^2.0.3, inherits@^2.0.4, inherits@~2.0.3, inherits@~2.0.4:
+inherits@^2.0.1, inherits@^2.0.3, inherits@^2.0.4, inherits@~2.0.3, inherits@~2.0.4, inherits@2:
   version "2.0.4"
   resolved "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz"
   integrity sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==
@@ -7675,25 +8030,30 @@ inline-style-parser@0.1.1:
   resolved "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.1.1.tgz"
   integrity sha512-7NXolsK4CAS5+xvdj5OMMbI962hU/wvwoxk+LWR9Ek9bVtyuuYScDN6eS0rUm6TxApFpw7CX1o4uJzcd4AyD3Q==
 
-internal-slot@^1.0.4, internal-slot@^1.0.5:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/internal-slot/-/internal-slot-1.0.5.tgz"
-  integrity sha512-Y+R5hJrzs52QCG2laLn4udYVnxsfny9CpOhNhUvk/SSSVyF6T27FzRbF0sroPidSu3X8oEAkOn2K804mjpt6UQ==
-  dependencies:
-    get-intrinsic "^1.2.0"
-    has "^1.0.3"
-    side-channel "^1.0.4"
+inline-style-parser@0.2.4:
+  version "0.2.4"
+  resolved "https://registry.npmjs.org/inline-style-parser/-/inline-style-parser-0.2.4.tgz"
+  integrity sha512-0aO8FkhNZlj/ZIbNi7Lxxr12obT7cL1moPfE4tg1LkX7LlLfC6DeX4l2ZEud1ukP9jNQyNnfzQVqwbwmAATY4Q==
 
-"internmap@1 - 2":
-  version "2.0.3"
-  resolved "https://registry.npmjs.org/internmap/-/internmap-2.0.3.tgz"
-  integrity sha512-5Hh7Y1wQbvY5ooGgPbDaL5iYLAPzMTUrjMulskHLH6wnv/A+1q5rgEaiuqEjB+oxGXIVZs1FF+R/KPN3ZSQYYg==
+internal-slot@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/internal-slot/-/internal-slot-1.1.0.tgz"
+  integrity sha512-4gd7VpWNQNB4UKKCFFVcp1AVv+FMOgs9NKzjHKusc8jTMhd5eL1NqQqOpE0KzMds804/yHlglp3uxgluOqAPLw==
+  dependencies:
+    es-errors "^1.3.0"
+    hasown "^2.0.2"
+    side-channel "^1.1.0"
 
 internmap@^1.0.0:
   version "1.0.1"
   resolved "https://registry.npmjs.org/internmap/-/internmap-1.0.1.tgz"
   integrity sha512-lDB5YccMydFBtasVtxnZ3MRBHuaoE8GKsppq+EchKL2U4nK/DmEpPHNH8MZe5HkMtpSiTSOZwfN0tzYjO/lJEw==
 
+"internmap@1 - 2":
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/internmap/-/internmap-2.0.3.tgz"
+  integrity sha512-5Hh7Y1wQbvY5ooGgPbDaL5iYLAPzMTUrjMulskHLH6wnv/A+1q5rgEaiuqEjB+oxGXIVZs1FF+R/KPN3ZSQYYg==
+
 intersection-observer@^0.12.0:
   version "0.12.2"
   resolved "https://registry.npmjs.org/intersection-observer/-/intersection-observer-0.12.2.tgz"
@@ -7725,7 +8085,7 @@ is-alphanumerical@^2.0.0:
     is-alphabetical "^2.0.0"
     is-decimal "^2.0.0"
 
-is-arguments@^1.0.4, is-arguments@^1.1.1:
+is-arguments@^1.0.4:
   version "1.1.1"
   resolved "https://registry.npmjs.org/is-arguments/-/is-arguments-1.1.1.tgz"
   integrity sha512-8Q7EARjzEnKpt/PCD7e1cgUS0a6X8u5tdSiMqXhojOdoV9TsMsiO+9VLC5vAmO8N7/GmXn7yjR8qnA6bVAEzfA==
@@ -7733,14 +8093,14 @@ is-arguments@^1.0.4, is-arguments@^1.1.1:
     call-bind "^1.0.2"
     has-tostringtag "^1.0.0"
 
-is-array-buffer@^3.0.1, is-array-buffer@^3.0.2:
-  version "3.0.2"
-  resolved "https://registry.npmjs.org/is-array-buffer/-/is-array-buffer-3.0.2.tgz"
-  integrity sha512-y+FyyR/w8vfIRq4eQcM1EYgSTnmHXPqaF+IgzgraytCFq5Xh8lllDVmAZolPJiZttZLeFSINPYMaEJ7/vWUa1w==
+is-array-buffer@^3.0.4, is-array-buffer@^3.0.5:
+  version "3.0.5"
+  resolved "https://registry.npmjs.org/is-array-buffer/-/is-array-buffer-3.0.5.tgz"
+  integrity sha512-DDfANUiiG2wC1qawP66qlTugJeL5HyzMpfr8lLK+jMQirGzNod0B12cFB/9q838Ru27sBwfw78/rdoU7RERz6A==
   dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.2.0"
-    is-typed-array "^1.1.10"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    get-intrinsic "^1.2.6"
 
 is-arrayish@^0.2.1:
   version "0.2.1"
@@ -7759,12 +8119,12 @@ is-async-function@^2.0.0:
   dependencies:
     has-tostringtag "^1.0.0"
 
-is-bigint@^1.0.1:
-  version "1.0.4"
-  resolved "https://registry.npmjs.org/is-bigint/-/is-bigint-1.0.4.tgz"
-  integrity sha512-zB9CruMamjym81i2JZ3UMn54PKGsQzsJeo6xvN3HJJ4CAsQNB6iRutp2To77OfCNuoxspsIhzaPoO1zyCEhFOg==
+is-bigint@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/is-bigint/-/is-bigint-1.1.0.tgz"
+  integrity sha512-n4ZT37wG78iz03xPRKJrHTdZbe3IicyucEtdRsV5yglwc3GyUfbAfpSeD0FJ41NbUNSt5wbhqfp1fS+BgnvDFQ==
   dependencies:
-    has-bigints "^1.0.1"
+    has-bigints "^1.0.2"
 
 is-binary-path@~2.1.0:
   version "2.1.0"
@@ -7773,44 +8133,49 @@ is-binary-path@~2.1.0:
   dependencies:
     binary-extensions "^2.0.0"
 
-is-boolean-object@^1.1.0:
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/is-boolean-object/-/is-boolean-object-1.1.2.tgz"
-  integrity sha512-gDYaKHJmnj4aWxyj6YHyXVpdQawtVLHU5cb+eztPGczf6cjuTdwve5ZIEfgXqH4e57An1D1AKf8CZ3kYrQRqYA==
+is-boolean-object@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/is-boolean-object/-/is-boolean-object-1.2.1.tgz"
+  integrity sha512-l9qO6eFlUETHtuihLcYOaLKByJ1f+N4kthcU9YjHy3N+B3hWv0y/2Nd0mu/7lTFnRQHTrSdXF50HQ3bl5fEnng==
   dependencies:
-    call-bind "^1.0.2"
-    has-tostringtag "^1.0.0"
+    call-bound "^1.0.2"
+    has-tostringtag "^1.0.2"
 
-is-buffer@^2.0.0:
-  version "2.0.5"
-  resolved "https://registry.npmjs.org/is-buffer/-/is-buffer-2.0.5.tgz"
-  integrity sha512-i2R6zNFDwgEHJyQUtJEk0XFi1i0dPFn/oqjK3/vPCcDeJvW5NQ83V8QbicfF1SupOaB0h8ntgBC2YiE7dfyctQ==
-
-is-builtin-module@^3.2.0:
+is-builtin-module@^3.2.1:
   version "3.2.1"
   resolved "https://registry.npmjs.org/is-builtin-module/-/is-builtin-module-3.2.1.tgz"
   integrity sha512-BSLE3HnV2syZ0FK0iMA/yUGplUeMmNz4AW5fnTunbCIqZi4vG3WjJT9FHMy5D69xmAYBHXQhJdALdpwVxV501A==
   dependencies:
     builtin-modules "^3.3.0"
 
-is-callable@^1.1.3, is-callable@^1.1.4, is-callable@^1.2.7:
+is-callable@^1.1.3, is-callable@^1.2.7:
   version "1.2.7"
   resolved "https://registry.npmjs.org/is-callable/-/is-callable-1.2.7.tgz"
   integrity sha512-1BC0BVFhS/p0qtw6enp8e+8OD0UrK0oFLztSjNzhcKA3WDuJxxAPXzPuPtKkjEY9UUoEWlX/8fgKeu2S8i9JTA==
 
-is-core-module@^2.11.0, is-core-module@^2.13.0, is-core-module@^2.13.1:
-  version "2.13.1"
-  resolved "https://registry.npmjs.org/is-core-module/-/is-core-module-2.13.1.tgz"
-  integrity sha512-hHrIjvZsftOsvKSn2TRYl63zvxsgE0K+0mYMoH6gD4omR5IWB2KynivBQczo3+wF1cCkjzvptnI9Q0sPU66ilw==
+is-core-module@^2.11.0, is-core-module@^2.13.0, is-core-module@^2.15.1:
+  version "2.16.1"
+  resolved "https://registry.npmjs.org/is-core-module/-/is-core-module-2.16.1.tgz"
+  integrity sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w==
   dependencies:
-    hasown "^2.0.0"
+    hasown "^2.0.2"
 
-is-date-object@^1.0.1, is-date-object@^1.0.5:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/is-date-object/-/is-date-object-1.0.5.tgz"
-  integrity sha512-9YQaSxsAiSwcvS33MBk3wTCVnWK+HhF8VZR2jRxehM16QcVOdHqPn4VPHmRK4lSr38n9JriurInLcP90xsYNfQ==
+is-data-view@^1.0.1, is-data-view@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/is-data-view/-/is-data-view-1.0.2.tgz"
+  integrity sha512-RKtWF8pGmS87i2D6gqQu/l7EYRlVdfzemCJN/P3UOs//x1QE7mfhvzHIApBTRf7axvT6DMGwSwBXYCT0nfB9xw==
   dependencies:
-    has-tostringtag "^1.0.0"
+    call-bound "^1.0.2"
+    get-intrinsic "^1.2.6"
+    is-typed-array "^1.1.13"
+
+is-date-object@^1.0.5, is-date-object@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/is-date-object/-/is-date-object-1.1.0.tgz"
+  integrity sha512-PwwhEakHVKTdRNVOw+/Gyh0+MzlCl4R6qKvkhuvLtPMggI1WAHt9sOwZxQLSGpUaDnrdyDsomoRgNnCfKNSXXg==
+  dependencies:
+    call-bound "^1.0.2"
+    has-tostringtag "^1.0.2"
 
 is-decimal@^1.0.0:
   version "1.0.4"
@@ -7837,12 +8202,12 @@ is-extglob@^2.1.1:
   resolved "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz"
   integrity sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==
 
-is-finalizationregistry@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/is-finalizationregistry/-/is-finalizationregistry-1.0.2.tgz"
-  integrity sha512-0by5vtUJs8iFQb5TYUHHPudOR+qXYIMKtiUzvLIZITZUjknFmziyBJuLhVRc+Ds0dREFlskDNJKYIdIzu/9pfw==
+is-finalizationregistry@^1.1.0:
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/is-finalizationregistry/-/is-finalizationregistry-1.1.1.tgz"
+  integrity sha512-1pC6N8qWJbWoPtEjgcL2xyhQOP491EQjeUo3qTKcmV8YSDDJrOepfG8pcC7h/QgnQHYSv0mJ3Z/ZWxmatVrysg==
   dependencies:
-    call-bind "^1.0.2"
+    call-bound "^1.0.3"
 
 is-fullwidth-code-point@^3.0.0:
   version "3.0.0"
@@ -7854,6 +8219,13 @@ is-fullwidth-code-point@^4.0.0:
   resolved "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-4.0.0.tgz"
   integrity sha512-O4L094N2/dZ7xqVdrXhh9r1KODPJpFms8B5sGdJLPy664AgvXsreZUyCQQNItZRDlYug4xStLjNp/sz3HvBowQ==
 
+is-fullwidth-code-point@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-5.0.0.tgz"
+  integrity sha512-OVa3u9kkBbw7b8Xw5F9P+D/T9X+Z4+JruYVNapTjPYZYUznQ5YfWeFkOj606XYYW8yugTfC8Pj0hYqvi4ryAhA==
+  dependencies:
+    get-east-asian-width "^1.0.0"
+
 is-generator-fn@^2.0.0:
   version "2.1.0"
   resolved "https://registry.npmjs.org/is-generator-fn/-/is-generator-fn-2.1.0.tgz"
@@ -7883,6 +8255,15 @@ is-hexadecimal@^2.0.0:
   resolved "https://registry.npmjs.org/is-hexadecimal/-/is-hexadecimal-2.0.1.tgz"
   integrity sha512-DgZQp241c8oO6cA1SbTEWiXeoxV42vlcJxgH+B3hi1AiqqKruZR3ZGF8In3fj4+/y/7rHvlOZLZtgJ/4ttYGZg==
 
+is-immutable-type@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/is-immutable-type/-/is-immutable-type-5.0.0.tgz"
+  integrity sha512-mcvHasqbRBWJznuPqqHRKiJgYAz60sZ0mvO3bN70JbkuK7ksfmgc489aKZYxMEjIbRvyOseaTjaRZLRF/xFeRA==
+  dependencies:
+    "@typescript-eslint/type-utils" "^8.0.0"
+    ts-api-utils "^1.3.0"
+    ts-declaration-location "^1.0.4"
+
 is-inside-container@^1.0.0:
   version "1.0.0"
   resolved "https://registry.npmjs.org/is-inside-container/-/is-inside-container-1.0.0.tgz"
@@ -7890,10 +8271,10 @@ is-inside-container@^1.0.0:
   dependencies:
     is-docker "^3.0.0"
 
-is-map@^2.0.1, is-map@^2.0.2:
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/is-map/-/is-map-2.0.2.tgz"
-  integrity sha512-cOZFQQozTha1f4MxLFzlgKYPTyj26picdZTx82hbc/Xf4K/tZOOXSCkMvU4pKioRXGDLJRn0GM7Upe7kR721yg==
+is-map@^2.0.3:
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/is-map/-/is-map-2.0.3.tgz"
+  integrity sha512-1Qed0/Hr2m+YqxnM09CjA2d/i6YZNfF6R2oRAOj36eUdS6qIV/huPJNSEpKbupewFs+ZsJlxsjjPbc0/afW6Lw==
 
 is-nan@^1.3.2:
   version "1.3.2"
@@ -7903,28 +8284,19 @@ is-nan@^1.3.2:
     call-bind "^1.0.0"
     define-properties "^1.1.3"
 
-is-negative-zero@^2.0.2:
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/is-negative-zero/-/is-negative-zero-2.0.2.tgz"
-  integrity sha512-dqJvarLawXsFbNDeJW7zAz8ItJ9cd28YufuuFzh0G8pNHjJMnY08Dv7sYX2uF5UpQOwieAeOExEYAWWfu7ZZUA==
-
-is-number-object@^1.0.4:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/is-number-object/-/is-number-object-1.0.7.tgz"
-  integrity sha512-k1U0IRzLMo7ZlYIfzRu23Oh6MiIFasgpb9X76eqfFZAqwH44UI4KTBvBYIZ1dSL9ZzChTB9ShHfLkR4pdW5krQ==
+is-number-object@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/is-number-object/-/is-number-object-1.1.1.tgz"
+  integrity sha512-lZhclumE1G6VYD8VHe35wFaIif+CTy5SJIi5+3y4psDgWu4wPDoBhF8NxUOinEc7pHgiTsT6MaBb92rKhhD+Xw==
   dependencies:
-    has-tostringtag "^1.0.0"
+    call-bound "^1.0.3"
+    has-tostringtag "^1.0.2"
 
 is-number@^7.0.0:
   version "7.0.0"
   resolved "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz"
   integrity sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==
 
-is-path-inside@^3.0.3:
-  version "3.0.3"
-  resolved "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz"
-  integrity sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ==
-
 is-plain-obj@^4.0.0:
   version "4.1.0"
   resolved "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-4.1.0.tgz"
@@ -7935,32 +8307,27 @@ is-potential-custom-element-name@^1.0.1:
   resolved "https://registry.npmjs.org/is-potential-custom-element-name/-/is-potential-custom-element-name-1.0.1.tgz"
   integrity sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ==
 
-is-reference@^3.0.0:
-  version "3.0.1"
-  resolved "https://registry.npmjs.org/is-reference/-/is-reference-3.0.1.tgz"
-  integrity sha512-baJJdQLiYaJdvFbJqXrcGv3WU3QCzBlUcI5QhbesIm6/xPsvmO+2CDoi/GMOFBQEQm+PXkwOPrp9KK5ozZsp2w==
+is-regex@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/is-regex/-/is-regex-1.2.1.tgz"
+  integrity sha512-MjYsKHO5O7mCsmRGxWcLWheFqN9DJ/2TmngvjKXihe6efViPqc274+Fx/4fYj/r03+ESvBdTXK0V6tA3rgez1g==
   dependencies:
-    "@types/estree" "*"
+    call-bound "^1.0.2"
+    gopd "^1.2.0"
+    has-tostringtag "^1.0.2"
+    hasown "^2.0.2"
 
-is-regex@^1.1.4:
-  version "1.1.4"
-  resolved "https://registry.npmjs.org/is-regex/-/is-regex-1.1.4.tgz"
-  integrity sha512-kvRdxDsxZjhzUX07ZnLydzS1TU/TJlTUHHY4YLL87e37oUA49DfkLqgy+VjFocowy29cKvcSiu+kIv728jTTVg==
+is-set@^2.0.3:
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/is-set/-/is-set-2.0.3.tgz"
+  integrity sha512-iPAjerrse27/ygGLxw+EBR9agv9Y6uLeYVJMu+QNCoouJ1/1ri0mGrcWpfCqFZuzzx3WjtwxG098X+n4OuRkPg==
+
+is-shared-array-buffer@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.npmjs.org/is-shared-array-buffer/-/is-shared-array-buffer-1.0.4.tgz"
+  integrity sha512-ISWac8drv4ZGfwKl5slpHG9OwPNty4jOWPRIhBpxOoD+hqITiwuipOQ2bNthAzwA3B4fIjO4Nln74N0S9byq8A==
   dependencies:
-    call-bind "^1.0.2"
-    has-tostringtag "^1.0.0"
-
-is-set@^2.0.1, is-set@^2.0.2:
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/is-set/-/is-set-2.0.2.tgz"
-  integrity sha512-+2cnTEZeY5z/iXGbLhPrOAaK/Mau5k5eXq9j14CpRTftq0pAJu2MwVRSZhyZWBzx3o6X795Lz6Bpb6R0GKf37g==
-
-is-shared-array-buffer@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/is-shared-array-buffer/-/is-shared-array-buffer-1.0.2.tgz"
-  integrity sha512-sqN2UDu1/0y6uvXyStCOzyhAjCSlHceFoMKJW8W9EU9cvic/QdsZ0kEU93HEy3IUEFZIiH/3w+AH/UQbPHNdhA==
-  dependencies:
-    call-bind "^1.0.2"
+    call-bound "^1.0.3"
 
 is-stream@^2.0.0:
   version "2.0.1"
@@ -7972,46 +8339,49 @@ is-stream@^3.0.0:
   resolved "https://registry.npmjs.org/is-stream/-/is-stream-3.0.0.tgz"
   integrity sha512-LnQR4bZ9IADDRSkvpqMGvt/tEJWclzklNgSw48V5EAaAeDd6qGvN8ei6k5p0tvxSR171VmGyHuTiAOfxAbr8kA==
 
-is-string@^1.0.5, is-string@^1.0.7:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/is-string/-/is-string-1.0.7.tgz"
-  integrity sha512-tE2UXzivje6ofPW7l23cjDOMa09gb7xlAqG6jG5ej6uPV32TlWP3NKPigtaGeHNu9fohccRYvIiZMfOOnOYUtg==
+is-string@^1.0.7, is-string@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/is-string/-/is-string-1.1.1.tgz"
+  integrity sha512-BtEeSsoaQjlSPBemMQIrY1MY0uM6vnS1g5fmufYOtnxLGUZM2178PKbhsk7Ffv58IX+ZtcvoGwccYsh0PglkAA==
   dependencies:
-    has-tostringtag "^1.0.0"
+    call-bound "^1.0.3"
+    has-tostringtag "^1.0.2"
 
-is-symbol@^1.0.2, is-symbol@^1.0.3:
-  version "1.0.4"
-  resolved "https://registry.npmjs.org/is-symbol/-/is-symbol-1.0.4.tgz"
-  integrity sha512-C/CPBqKWnvdcxqIARxyOh4v1UUEOCHpgDa0WYgpKDFMszcrPcffg5uhwSgPCLD2WWxmq6isisz87tzT01tuGhg==
+is-symbol@^1.0.4, is-symbol@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/is-symbol/-/is-symbol-1.1.1.tgz"
+  integrity sha512-9gGx6GTtCQM73BgmHQXfDmLtfjjTUDSyoxTCbp5WtoixAhfgsDirWIcVQ/IHpvI5Vgd5i/J5F7B9cN/WlVbC/w==
   dependencies:
-    has-symbols "^1.0.2"
+    call-bound "^1.0.2"
+    has-symbols "^1.1.0"
+    safe-regex-test "^1.1.0"
 
-is-typed-array@^1.1.10, is-typed-array@^1.1.12, is-typed-array@^1.1.3, is-typed-array@^1.1.9:
-  version "1.1.12"
-  resolved "https://registry.npmjs.org/is-typed-array/-/is-typed-array-1.1.12.tgz"
-  integrity sha512-Z14TF2JNG8Lss5/HMqt0//T9JeHXttXy5pH/DBU4vi98ozO2btxzq9MwYDZYnKwU8nRsz/+GVFVRDq3DkVuSPg==
+is-typed-array@^1.1.13, is-typed-array@^1.1.14, is-typed-array@^1.1.15, is-typed-array@^1.1.3:
+  version "1.1.15"
+  resolved "https://registry.npmjs.org/is-typed-array/-/is-typed-array-1.1.15.tgz"
+  integrity sha512-p3EcsicXjit7SaskXHs1hA91QxgTw46Fv6EFKKGS5DRFLD8yKnohjF3hxoju94b/OcMZoQukzpPpBE9uLVKzgQ==
   dependencies:
-    which-typed-array "^1.1.11"
+    which-typed-array "^1.1.16"
 
-is-weakmap@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/is-weakmap/-/is-weakmap-2.0.1.tgz"
-  integrity sha512-NSBR4kH5oVj1Uwvv970ruUkCV7O1mzgVFO4/rev2cLRda9Tm9HrL70ZPut4rOHgY0FNrUu9BCbXA2sdQ+x0chA==
-
-is-weakref@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/is-weakref/-/is-weakref-1.0.2.tgz"
-  integrity sha512-qctsuLZmIQ0+vSSMfoVvyFe2+GSEvnmZ2ezTup1SBse9+twCCeial6EEi3Nc2KFcf6+qz2FBPnjXsk8xhKSaPQ==
-  dependencies:
-    call-bind "^1.0.2"
-
-is-weakset@^2.0.1:
+is-weakmap@^2.0.2:
   version "2.0.2"
-  resolved "https://registry.npmjs.org/is-weakset/-/is-weakset-2.0.2.tgz"
-  integrity sha512-t2yVvttHkQktwnNNmBQ98AhENLdPUTDTE21uPqAQ0ARwQfGeQKRVS0NNurH7bTf7RrvcVn1OOge45CnBeHCSmg==
+  resolved "https://registry.npmjs.org/is-weakmap/-/is-weakmap-2.0.2.tgz"
+  integrity sha512-K5pXYOm9wqY1RgjpL3YTkF39tni1XajUIkawTLUo9EZEVUFga5gSQJF8nNS7ZwJQ02y+1YCNYcMh+HIf1ZqE+w==
+
+is-weakref@^1.0.2, is-weakref@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/is-weakref/-/is-weakref-1.1.0.tgz"
+  integrity sha512-SXM8Nwyys6nT5WP6pltOwKytLV7FqQ4UiibxVmW+EIosHcmCqkkjViTb5SNssDlkCiEYRP1/pdWUKVvZBmsR2Q==
   dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.1.1"
+    call-bound "^1.0.2"
+
+is-weakset@^2.0.3:
+  version "2.0.4"
+  resolved "https://registry.npmjs.org/is-weakset/-/is-weakset-2.0.4.tgz"
+  integrity sha512-mfcwb6IzQyOKTs84CQMrOwW4gQcaTOAWJ0zzJCl2WSPDrWk/OzDaImWFH3djXhb24g4eudZfLRozAvPGw4d9hQ==
+  dependencies:
+    call-bound "^1.0.3"
+    get-intrinsic "^1.2.6"
 
 is-wsl@^2.2.0:
   version "2.2.0"
@@ -8035,6 +8405,11 @@ isexe@^2.0.0:
   resolved "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz"
   integrity sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw==
 
+isomorphic.js@^0.2.4:
+  version "0.2.5"
+  resolved "https://registry.npmjs.org/isomorphic.js/-/isomorphic.js-0.2.5.tgz"
+  integrity sha512-PIeMbHqMt4DnUP3MA/Flc0HElYjMXArsw1qwJZcm9sqR8mq3l8NYizFMty0pWwE/tzIGH3EKK5+jes5mAr85yw==
+
 istanbul-lib-coverage@^3.0.0, istanbul-lib-coverage@^3.2.0:
   version "3.2.2"
   resolved "https://registry.npmjs.org/istanbul-lib-coverage/-/istanbul-lib-coverage-3.2.2.tgz"
@@ -8088,16 +8463,26 @@ istanbul-reports@^3.1.3:
     html-escaper "^2.0.0"
     istanbul-lib-report "^3.0.0"
 
-iterator.prototype@^1.1.2:
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/iterator.prototype/-/iterator.prototype-1.1.2.tgz"
-  integrity sha512-DR33HMMr8EzwuRL8Y9D3u2BMj8+RqSE850jfGu59kS7tbmPLzGkZmVSfyCFSDxuZiEY6Rzt3T2NA/qU+NwVj1w==
+iterator.prototype@^1.1.4:
+  version "1.1.4"
+  resolved "https://registry.npmjs.org/iterator.prototype/-/iterator.prototype-1.1.4.tgz"
+  integrity sha512-x4WH0BWmrMmg4oHHl+duwubhrvczGlyuGAZu3nvrf0UXOfPu8IhZObFEr7DE/iv01YgVZrsOiRcqw2srkKEDIA==
   dependencies:
-    define-properties "^1.2.1"
-    get-intrinsic "^1.2.1"
-    has-symbols "^1.0.3"
-    reflect.getprototypeof "^1.0.4"
-    set-function-name "^2.0.1"
+    define-data-property "^1.1.4"
+    es-object-atoms "^1.0.0"
+    get-intrinsic "^1.2.6"
+    has-symbols "^1.1.0"
+    reflect.getprototypeof "^1.0.8"
+    set-function-name "^2.0.2"
+
+jackspeak@^3.1.2:
+  version "3.4.3"
+  resolved "https://registry.npmjs.org/jackspeak/-/jackspeak-3.4.3.tgz"
+  integrity sha512-OGlZQpz2yfahA/Rd1Y8Cd9SIEsqvXkLVoSw/cgwhnhFMDbsQFeZYoJJ7bIZBS9BcamUW96asq/npPWugM+RQBw==
+  dependencies:
+    "@isaacs/cliui" "^8.0.2"
+  optionalDependencies:
+    "@pkgjs/parseargs" "^0.11.0"
 
 jest-changed-files@^29.7.0:
   version "29.7.0"
@@ -8317,7 +8702,7 @@ jest-resolve-dependencies@^29.7.0:
     jest-regex-util "^29.6.3"
     jest-snapshot "^29.7.0"
 
-jest-resolve@^29.7.0:
+jest-resolve@*, jest-resolve@^29.7.0:
   version "29.7.0"
   resolved "https://registry.npmjs.org/jest-resolve/-/jest-resolve-29.7.0.tgz"
   integrity sha512-IOVhZSrg+UvVAshDSDtHyFCCBUl/Q3AAJv8iZ6ZjnZ74xzvwuzLXid9IIIPgTnY62SJjfuupMKZsZQRsCvxEgA==
@@ -8480,7 +8865,7 @@ jest@^29.7.0:
     import-local "^3.0.2"
     jest-cli "^29.7.0"
 
-jiti@^1.20.0, jiti@^1.21.0:
+jiti@*, jiti@^1.20.0, jiti@^1.21.6:
   version "1.21.6"
   resolved "https://registry.npmjs.org/jiti/-/jiti-1.21.6.tgz"
   integrity sha512-2yTgeWTWzMWkHu6Jp9NKgePDaYHbntiwvYuuJLbbN9vl7DC9DvXKOB2BC3ZZ92D3cvV/aflH0osDfwpHepQ53w==
@@ -8490,12 +8875,7 @@ js-audio-recorder@^1.0.7:
   resolved "https://registry.npmjs.org/js-audio-recorder/-/js-audio-recorder-1.0.7.tgz"
   integrity sha512-JiDODCElVHGrFyjGYwYyNi7zCbKk9va9C77w+zCPMmi4C6ix7zsX2h3ddHugmo4dOTOTCym9++b/wVW9nC0IaA==
 
-js-cookie@^2.x.x:
-  version "2.2.1"
-  resolved "https://registry.npmjs.org/js-cookie/-/js-cookie-2.2.1.tgz"
-  integrity sha512-HvdH2LzI/EAZcUwA8+0nKNtWHqS+ZmijLA30RwZA0bo7ToCckjK5MkGhjED9KoRcXO6BaGI3I9UIzSA1FKFPOQ==
-
-js-cookie@^3.0.1:
+js-cookie@^3.0.5:
   version "3.0.5"
   resolved "https://registry.npmjs.org/js-cookie/-/js-cookie-3.0.5.tgz"
   integrity sha512-cEiJEAEoIbWfCZYKWhVwFuvPX1gETRYPw6LlaTKoxD3s2AkXzkCjnp6h0V77ozyqj0jakteJ4YqDJT830+lVGw==
@@ -8520,7 +8900,7 @@ js-yaml@^4.1.0:
   dependencies:
     argparse "^2.0.1"
 
-jsdoc-type-pratt-parser@^4.0.0:
+jsdoc-type-pratt-parser@^4.0.0, jsdoc-type-pratt-parser@~4.1.0:
   version "4.1.0"
   resolved "https://registry.npmjs.org/jsdoc-type-pratt-parser/-/jsdoc-type-pratt-parser-4.1.0.tgz"
   integrity sha512-Hicd6JK5Njt2QB6XYFS7ok9e37O8AYk3jTcppG4YVQnYjOemymvTcmc7OWsmq/Qqj5TdRFO5/x/tIPmBeRtGHg==
@@ -8604,10 +8984,10 @@ json5@^2.1.2, json5@^2.2.2, json5@^2.2.3:
   resolved "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz"
   integrity sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==
 
-jsonc-eslint-parser@^2.0.4, jsonc-eslint-parser@^2.1.0:
-  version "2.3.0"
-  resolved "https://registry.npmjs.org/jsonc-eslint-parser/-/jsonc-eslint-parser-2.3.0.tgz"
-  integrity sha512-9xZPKVYp9DxnM3sd1yAsh/d59iIaswDkai8oTxbursfKYbg/ibjX0IzFt35+VZ8iEW453TVTXztnRvYUQlAfUQ==
+jsonc-eslint-parser@^2.0.4, jsonc-eslint-parser@^2.4.0:
+  version "2.4.0"
+  resolved "https://registry.npmjs.org/jsonc-eslint-parser/-/jsonc-eslint-parser-2.4.0.tgz"
+  integrity sha512-WYDyuc/uFcGp6YtM2H0uKmUwieOuzeE/5YocFJLnLfclZ4inf3mRn8ZVy1s7Hxji7Jxm6Ss8gqpexD/GlKoGgg==
   dependencies:
     acorn "^8.5.0"
     eslint-visitor-keys "^3.0.0"
@@ -8623,13 +9003,15 @@ jsonfile@^6.0.1, jsonfile@^6.1.0:
   optionalDependencies:
     graceful-fs "^4.1.6"
 
-"jsx-ast-utils@^2.4.1 || ^3.0.0", jsx-ast-utils@^3.3.3:
-  version "3.3.3"
-  resolved "https://registry.npmjs.org/jsx-ast-utils/-/jsx-ast-utils-3.3.3.tgz"
-  integrity sha512-fYQHZTZ8jSfmWZ0iyzfwiU4WDX4HpHbMCZ3gPlWYiCl3BoeOTsqKBqnTVfH2rYT7eP5c3sVbeSPHnnJOaTrWiw==
+"jsx-ast-utils@^2.4.1 || ^3.0.0", jsx-ast-utils@^3.3.5:
+  version "3.3.5"
+  resolved "https://registry.npmjs.org/jsx-ast-utils/-/jsx-ast-utils-3.3.5.tgz"
+  integrity sha512-ZZow9HBI5O6EPgSJLUb8n2NKgmVWTwCvHGwFuJlMjvLFqlGG6pjirPhtdsseaLZjSibD8eegzmYpUZwoIlj2cQ==
   dependencies:
-    array-includes "^3.1.5"
-    object.assign "^4.1.3"
+    array-includes "^3.1.6"
+    array.prototype.flat "^1.3.1"
+    object.assign "^4.1.4"
+    object.values "^1.1.6"
 
 jwt-decode@^4.0.0:
   version "4.0.0"
@@ -8643,7 +9025,7 @@ katex@^0.16.0, katex@^0.16.21, katex@^0.16.9:
   dependencies:
     commander "^8.3.0"
 
-keyv@^4.0.0:
+keyv@^4.0.0, keyv@^4.5.4:
   version "4.5.4"
   resolved "https://registry.npmjs.org/keyv/-/keyv-4.5.4.tgz"
   integrity sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw==
@@ -8660,16 +9042,16 @@ kleur@^3.0.3:
   resolved "https://registry.npmjs.org/kleur/-/kleur-3.0.3.tgz"
   integrity sha512-eTIzlVOSUR+JxdDFepEYcBMtZ9Qqdef+rnzWdRZuMbOywu5tO2w2N7rqjoANZ5k9vywhL6Br1VRjUIgTQx4E8w==
 
-kleur@^4.0.3:
-  version "4.1.5"
-  resolved "https://registry.npmjs.org/kleur/-/kleur-4.1.5.tgz"
-  integrity sha512-o+NO+8WrRiQEE4/7nwRJhN1HWpVmJm511pBHUxPLtp0BUISzlBplORYSmTclCnJvQq2tKu/sgl3xVpkc7ZWuQQ==
-
 kolorist@^1.8.0:
   version "1.8.0"
   resolved "https://registry.npmjs.org/kolorist/-/kolorist-1.8.0.tgz"
   integrity sha512-Y+60/zizpJ3HRH8DCss+q95yr6145JXZo46OTpFvDZWLfRCE4qChOyk1b26nMaNpfHHgxagk9dXT5OP0Tfe+dQ==
 
+ky@^1.7.2:
+  version "1.7.4"
+  resolved "https://registry.npmjs.org/ky/-/ky-1.7.4.tgz"
+  integrity sha512-zYEr/gh7uLW2l4su11bmQ2M9xLgQLjyvx58UyNM/6nuqyWFHPX5ktMjvpev3F8QWdjSsHUpnWew4PBCswBNuMQ==
+
 lamejs@^1.2.1:
   version "1.2.1"
   resolved "https://registry.npmjs.org/lamejs/-/lamejs-1.2.1.tgz"
@@ -8688,17 +9070,17 @@ langium@3.0.0:
     vscode-languageserver-textdocument "~1.0.11"
     vscode-uri "~3.0.8"
 
-language-subtag-registry@~0.3.2:
-  version "0.3.22"
-  resolved "https://registry.npmjs.org/language-subtag-registry/-/language-subtag-registry-0.3.22.tgz"
-  integrity sha512-tN0MCzyWnoz/4nHS6uxdlFWoUZT7ABptwKPQ52Ea7URk6vll88bWBVhodtnlfEuCcKWNGoc+uGbw1cwa9IKh/w==
+language-subtag-registry@^0.3.20:
+  version "0.3.23"
+  resolved "https://registry.npmjs.org/language-subtag-registry/-/language-subtag-registry-0.3.23.tgz"
+  integrity sha512-0K65Lea881pHotoGEa5gDlMxt3pctLi2RplBb7Ezh4rRdLEOtgi7n4EwK9lamnUCkKBqaeKRVebTq6BAxSkpXQ==
 
-language-tags@=1.0.5:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/language-tags/-/language-tags-1.0.5.tgz"
-  integrity sha512-qJhlO9cGXi6hBGKoxEG/sKZDAHD5Hnu9Hs4WbOY3pCWXDhw0N8x1NenNzm2EnNLkLkk7J2SdxAkDSbb6ftT+UQ==
+language-tags@^1.0.9:
+  version "1.0.9"
+  resolved "https://registry.npmjs.org/language-tags/-/language-tags-1.0.9.tgz"
+  integrity sha512-MbjN408fEndfiQXbFQ1vnd+1NoLDsnQW41410oQBXiyXDMYH5z505juWa4KUE1LqxRC7DgOgZDbKLxHIwm27hA==
   dependencies:
-    language-subtag-registry "~0.3.2"
+    language-subtag-registry "^0.3.20"
 
 launch-ide@1.0.0:
   version "1.0.0"
@@ -8731,10 +9113,17 @@ levn@^0.4.1:
     prelude-ls "^1.2.1"
     type-check "~0.4.0"
 
-lexical@0.16.1, lexical@^0.16.0:
-  version "0.16.1"
-  resolved "https://registry.npmjs.org/lexical/-/lexical-0.16.1.tgz"
-  integrity sha512-+R05d3+N945OY8pTUjTqQrWoApjC+ctzvjnmNETtx9WmVAaiW0tQVG+AYLt5pDGY8dQXtd4RPorvnxBTECt9SA==
+lexical@^0.18.0, lexical@0.18.0:
+  version "0.18.0"
+  resolved "https://registry.npmjs.org/lexical/-/lexical-0.18.0.tgz"
+  integrity sha512-3K/B0RpzjoW+Wj2E455wWXxkqxqK8UgdIiuqkOqdOsoSSo5mCkHOU6eVw7Nlmlr1MFvAMzGmz4RPn8NZaLQ2Mw==
+
+lib0@^0.2.98:
+  version "0.2.99"
+  resolved "https://registry.npmjs.org/lib0/-/lib0-0.2.99.tgz"
+  integrity sha512-vwztYuUf1uf/1zQxfzRfO5yzfNKhTtgOByCruuiQQxWQXnPb8Itaube5ylofcV0oM0aKal9Mv+S1s1Ky0UYP1w==
+  dependencies:
+    isomorphic.js "^0.2.4"
 
 lie@3.1.1:
   version "3.1.1"
@@ -8743,10 +9132,10 @@ lie@3.1.1:
   dependencies:
     immediate "~3.0.5"
 
-lilconfig@2.1.0, lilconfig@^2.0.5, lilconfig@^2.1.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/lilconfig/-/lilconfig-2.1.0.tgz"
-  integrity sha512-utWOt/GHzuUxnLKxB6dk81RoOeoNeHgbrXiuGk4yyF5qlRz+iIVWu56E2fqGHFrXz0QNUhLB/8nKqvRH66JKGQ==
+lilconfig@^3.0.0, lilconfig@^3.1.3, lilconfig@~3.1.3:
+  version "3.1.3"
+  resolved "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.3.tgz"
+  integrity sha512-/vlFKAoH5Cgt3Ie+JLhRbwOsCQePABiU3tJ1egGvyQ+33R/vcwM2Zl2QR/LzjsBeItPt3oSVXapn+m4nQDvpzw==
 
 line-clamp@^1.0.0:
   version "1.0.0"
@@ -8758,45 +9147,49 @@ lines-and-columns@^1.1.6:
   resolved "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz"
   integrity sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg==
 
-lint-staged@^13.2.2:
-  version "13.2.2"
-  resolved "https://registry.npmjs.org/lint-staged/-/lint-staged-13.2.2.tgz"
-  integrity sha512-71gSwXKy649VrSU09s10uAT0rWCcY3aewhMaHyl2N84oBk4Xs9HgxvUp3AYu+bNsK4NrOYYxvSgg7FyGJ+jGcA==
+lint-staged@^15.2.10:
+  version "15.2.11"
+  resolved "https://registry.npmjs.org/lint-staged/-/lint-staged-15.2.11.tgz"
+  integrity sha512-Ev6ivCTYRTGs9ychvpVw35m/bcNDuBN+mnTeObCL5h+boS5WzBEC6LHI4I9F/++sZm1m+J2LEiy0gxL/R9TBqQ==
   dependencies:
-    chalk "5.2.0"
-    cli-truncate "^3.1.0"
-    commander "^10.0.0"
-    debug "^4.3.4"
-    execa "^7.0.0"
-    lilconfig "2.1.0"
-    listr2 "^5.0.7"
-    micromatch "^4.0.5"
-    normalize-path "^3.0.0"
-    object-inspect "^1.12.3"
-    pidtree "^0.6.0"
-    string-argv "^0.3.1"
-    yaml "^2.2.2"
+    chalk "~5.3.0"
+    commander "~12.1.0"
+    debug "~4.4.0"
+    execa "~8.0.1"
+    lilconfig "~3.1.3"
+    listr2 "~8.2.5"
+    micromatch "~4.0.8"
+    pidtree "~0.6.0"
+    string-argv "~0.3.2"
+    yaml "~2.6.1"
 
-listr2@^5.0.7:
-  version "5.0.8"
-  resolved "https://registry.npmjs.org/listr2/-/listr2-5.0.8.tgz"
-  integrity sha512-mC73LitKHj9w6v30nLNGPetZIlfpUniNSsxxrbaPcWOjDb92SHPzJPi/t+v1YC/lxKz/AJ9egOjww0qUuFxBpA==
+listr2@~8.2.5:
+  version "8.2.5"
+  resolved "https://registry.npmjs.org/listr2/-/listr2-8.2.5.tgz"
+  integrity sha512-iyAZCeyD+c1gPyE9qpFu8af0Y+MRtmKOncdGoA2S5EY8iFq99dmmvkNnHiWo+pj0s7yH7l3KPIgee77tKpXPWQ==
   dependencies:
-    cli-truncate "^2.1.0"
-    colorette "^2.0.19"
-    log-update "^4.0.0"
-    p-map "^4.0.0"
-    rfdc "^1.3.0"
-    rxjs "^7.8.0"
-    through "^2.3.8"
-    wrap-ansi "^7.0.0"
+    cli-truncate "^4.0.0"
+    colorette "^2.0.20"
+    eventemitter3 "^5.0.1"
+    log-update "^6.1.0"
+    rfdc "^1.4.1"
+    wrap-ansi "^9.0.0"
 
 loader-runner@^4.2.0:
   version "4.3.0"
   resolved "https://registry.npmjs.org/loader-runner/-/loader-runner-4.3.0.tgz"
   integrity sha512-3R/1M+yS3j5ou80Me59j7F9IMs4PXs3VqRrm0TU3AbKPxlmpoY1TNscJV/oGJXo8qCatFGTfDbY6W6ipGOYXfg==
 
-loader-utils@^2.0.0, loader-utils@^2.0.4:
+loader-utils@^2.0.0:
+  version "2.0.4"
+  resolved "https://registry.npmjs.org/loader-utils/-/loader-utils-2.0.4.tgz"
+  integrity sha512-xXqpXoINfFhgua9xiqD8fPFHgkoq1mmmpE92WlDbm9rNRd/EbRb+Gqf908T2DMfuHjjJlksiK2RbHVOdD/MqSw==
+  dependencies:
+    big.js "^5.2.2"
+    emojis-list "^3.0.0"
+    json5 "^2.1.2"
+
+loader-utils@^2.0.4:
   version "2.0.4"
   resolved "https://registry.npmjs.org/loader-utils/-/loader-utils-2.0.4.tgz"
   integrity sha512-xXqpXoINfFhgua9xiqD8fPFHgkoq1mmmpE92WlDbm9rNRd/EbRb+Gqf908T2DMfuHjjJlksiK2RbHVOdD/MqSw==
@@ -8810,11 +9203,6 @@ loader-utils@^3.2.1:
   resolved "https://registry.npmjs.org/loader-utils/-/loader-utils-3.3.1.tgz"
   integrity sha512-FMJTLMXfCLMLfJxcX9PFqX5qD88Z5MRGaZCVzfuqeZSPsyiBzs+pahDQjbIWz2QIzPZz0NX9Zy4FX3lmK6YHIg==
 
-local-pkg@^0.4.3:
-  version "0.4.3"
-  resolved "https://registry.npmjs.org/local-pkg/-/local-pkg-0.4.3.tgz"
-  integrity sha512-SFppqq5p42fe2qcZQqqEOiVRXl+WCP1MdT6k7BDEW1j++sp5fIY+/fdRQitvKgB5BrBcmrs5m/L0v2FrU5MY1g==
-
 local-pkg@^0.5.1:
   version "0.5.1"
   resolved "https://registry.npmjs.org/local-pkg/-/local-pkg-0.5.1.tgz"
@@ -8851,7 +9239,7 @@ locate-path@^7.1.0:
   dependencies:
     p-locate "^6.0.0"
 
-lodash-es@4.17.21, lodash-es@^4.17.21:
+lodash-es@^4.17.21, lodash-es@4.17.21:
   version "4.17.21"
   resolved "https://registry.npmjs.org/lodash-es/-/lodash-es-4.17.21.tgz"
   integrity sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==
@@ -8876,20 +9264,21 @@ lodash.merge@^4.6.2:
   resolved "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz"
   integrity sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==
 
-lodash@^4.17.14, lodash@^4.17.15, lodash@^4.17.20, lodash@^4.17.21:
+lodash@^4.17.14, lodash@^4.17.19, lodash@^4.17.20, lodash@^4.17.21:
   version "4.17.21"
   resolved "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz"
   integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==
 
-log-update@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.npmjs.org/log-update/-/log-update-4.0.0.tgz"
-  integrity sha512-9fkkDevMefjg0mmzWFBW8YkFP91OrizzkW3diF7CpG+S2EYdy4+TVfGwz1zeF8x7hCx1ovSPTOE9Ngib74qqUg==
+log-update@^6.1.0:
+  version "6.1.0"
+  resolved "https://registry.npmjs.org/log-update/-/log-update-6.1.0.tgz"
+  integrity sha512-9ie8ItPR6tjY5uYJh8K/Zrv/RMZ5VOlOWvtZdEHYSTFKZfIBPQa9tOAEeAWhd+AnIneLJ22w5fjOYtoutpWq5w==
   dependencies:
-    ansi-escapes "^4.3.0"
-    cli-cursor "^3.1.0"
-    slice-ansi "^4.0.0"
-    wrap-ansi "^6.2.0"
+    ansi-escapes "^7.0.0"
+    cli-cursor "^5.0.0"
+    slice-ansi "^7.1.0"
+    strip-ansi "^7.1.0"
+    wrap-ansi "^9.0.0"
 
 longest-streak@^3.0.0:
   version "3.1.0"
@@ -8928,6 +9317,11 @@ lowlight@^1.17.0:
     fault "^1.0.0"
     highlight.js "~10.7.0"
 
+lru-cache@^10.2.0:
+  version "10.4.3"
+  resolved "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz"
+  integrity sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==
+
 lru-cache@^5.1.1:
   version "5.1.1"
   resolved "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz"
@@ -8935,19 +9329,12 @@ lru-cache@^5.1.1:
   dependencies:
     yallist "^3.0.2"
 
-lru-cache@^6.0.0:
-  version "6.0.0"
-  resolved "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz"
-  integrity sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==
-  dependencies:
-    yallist "^4.0.0"
-
 lz-string@^1.5.0:
   version "1.5.0"
   resolved "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz"
   integrity sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==
 
-magic-string@^0.30.5:
+magic-string@^0.30.11, magic-string@^0.30.5:
   version "0.30.12"
   resolved "https://registry.npmjs.org/magic-string/-/magic-string-0.30.12.tgz"
   integrity sha512-Ea8I3sQMVXr8JhN4z+H/d8zwo+tYDgHE9+5G4Wnrwhs0gaK9fXTKx0Tw5Xwsd/bCPTTZNRAdpyzvoeORe9LYpw==
@@ -8963,7 +9350,7 @@ magicast@^0.3.4:
     "@babel/types" "^7.25.4"
     source-map-js "^1.2.0"
 
-make-dir@^3.0.2, make-dir@^3.1.0:
+make-dir@^3.0.2:
   version "3.1.0"
   resolved "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz"
   integrity sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw==
@@ -8994,10 +9381,10 @@ map-or-similar@^1.5.0:
   resolved "https://registry.npmjs.org/map-or-similar/-/map-or-similar-1.5.0.tgz"
   integrity sha512-0aF7ZmVon1igznGI4VS30yugpduQW3y3GkcgGJOp7d8x8QrizhigUxjI/m2UojsXXto+jLAH3KSz+xOJTiORjg==
 
-markdown-extensions@^1.0.0:
-  version "1.1.1"
-  resolved "https://registry.npmjs.org/markdown-extensions/-/markdown-extensions-1.1.1.tgz"
-  integrity sha512-WWC0ZuMzCyDHYCasEGs4IPvLyTGftYwh6wIEOULOF0HXcqZlhwRzrK0w2VUlxWA98xnvb/jszw4ZSkJ6ADpM6Q==
+markdown-extensions@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/markdown-extensions/-/markdown-extensions-2.0.0.tgz"
+  integrity sha512-o5vL7aDWatOTX8LzaS1WMoaoxIiLRQJuIKKe2wAw6IeULDHaqbiqiggmx+pKvZDb1Sj+pE46Sn1T7lCqfFtg1Q==
 
 markdown-table@^3.0.0:
   version "3.0.3"
@@ -9009,6 +9396,11 @@ marked@^13.0.2:
   resolved "https://registry.npmjs.org/marked/-/marked-13.0.3.tgz"
   integrity sha512-rqRix3/TWzE9rIoFGIn8JmsVfhiuC8VIQ8IdX5TfzmeBucdY05/0UlzKaw0eVtpcN/OdVFpBk7CjKGo9iHJ/zA==
 
+math-intrinsics@^1.0.0, math-intrinsics@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz"
+  integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==
+
 md5.js@^1.3.4:
   version "1.3.5"
   resolved "https://registry.npmjs.org/md5.js/-/md5.js-1.3.5.tgz"
@@ -9018,201 +9410,180 @@ md5.js@^1.3.4:
     inherits "^2.0.1"
     safe-buffer "^5.1.2"
 
-mdast-util-definitions@^5.0.0:
-  version "5.1.2"
-  resolved "https://registry.npmjs.org/mdast-util-definitions/-/mdast-util-definitions-5.1.2.tgz"
-  integrity sha512-8SVPMuHqlPME/z3gqVwWY4zVXn8lqKv/pAhC57FuJ40ImXyBpmO5ukh98zB2v7Blql2FiHjHv9LVztSIqjY+MA==
+mdast-util-find-and-replace@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-3.0.1.tgz"
+  integrity sha512-SG21kZHGC3XRTSUhtofZkBzZTJNM5ecCi0SK2IMKmSXR8vO3peL+kb1O0z7Zl83jKtutG4k5Wv/W7V3/YHvzPA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    "@types/unist" "^2.0.0"
-    unist-util-visit "^4.0.0"
-
-mdast-util-find-and-replace@^2.0.0:
-  version "2.2.2"
-  resolved "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-2.2.2.tgz"
-  integrity sha512-MTtdFRz/eMDHXzeK6W3dO7mXUlF82Gom4y0oOgvHhh/HXZAGvIQDUvQ0SuUx+j2tv44b8xTHOm8K/9OoRFnXKw==
-  dependencies:
-    "@types/mdast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
     escape-string-regexp "^5.0.0"
-    unist-util-is "^5.0.0"
-    unist-util-visit-parents "^5.0.0"
+    unist-util-is "^6.0.0"
+    unist-util-visit-parents "^6.0.0"
 
-mdast-util-from-markdown@^0.8.5:
-  version "0.8.5"
-  resolved "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-0.8.5.tgz"
-  integrity sha512-2hkTXtYYnr+NubD/g6KGBS/0mFmBcifAsI0yIWRiRo0PjVs6SSOSOdtzbp6kSGnShDN6G5aWZpKQ2lWRy27mWQ==
+mdast-util-from-markdown@^2.0.0, mdast-util-from-markdown@^2.0.1:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.2.tgz"
+  integrity sha512-uZhTV/8NBuw0WHkPTrCqDOl0zVe1BIng5ZtHoDk49ME1qqcjYmmLmOf0gELgcRMxN4w2iuIeVso5/6QymSrgmA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-to-string "^2.0.0"
-    micromark "~2.11.0"
-    parse-entities "^2.0.0"
-    unist-util-stringify-position "^2.0.0"
-
-mdast-util-from-markdown@^1.0.0, mdast-util-from-markdown@^1.1.0:
-  version "1.3.1"
-  resolved "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-1.3.1.tgz"
-  integrity sha512-4xTO/M8c82qBcnQc1tgpNtubGUW/Y1tBQ1B0i5CtSoelOLKFYlElIr3bvgREYYO5iRqbMY1YuqZng0GVOI8Qww==
-  dependencies:
-    "@types/mdast" "^3.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/mdast" "^4.0.0"
+    "@types/unist" "^3.0.0"
     decode-named-character-reference "^1.0.0"
-    mdast-util-to-string "^3.1.0"
-    micromark "^3.0.0"
-    micromark-util-decode-numeric-character-reference "^1.0.0"
-    micromark-util-decode-string "^1.0.0"
-    micromark-util-normalize-identifier "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    unist-util-stringify-position "^3.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    mdast-util-to-string "^4.0.0"
+    micromark "^4.0.0"
+    micromark-util-decode-numeric-character-reference "^2.0.0"
+    micromark-util-decode-string "^2.0.0"
+    micromark-util-normalize-identifier "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
+    unist-util-stringify-position "^4.0.0"
 
-mdast-util-gfm-autolink-literal@^1.0.0:
-  version "1.0.3"
-  resolved "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-1.0.3.tgz"
-  integrity sha512-My8KJ57FYEy2W2LyNom4n3E7hKTuQk/0SES0u16tjA9Z3oFkF4RrC/hPAPgjlSpezsOvI8ObcXcElo92wn5IGA==
+mdast-util-gfm-autolink-literal@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-2.0.1.tgz"
+  integrity sha512-5HVP2MKaP6L+G6YaxPNjuL0BPrq9orG3TsrZ9YXbA3vDw/ACI4MEsnoDpn6ZNm7GnZgtAcONJyPhOP8tNJQavQ==
   dependencies:
-    "@types/mdast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
     ccount "^2.0.0"
-    mdast-util-find-and-replace "^2.0.0"
-    micromark-util-character "^1.0.0"
+    devlop "^1.0.0"
+    mdast-util-find-and-replace "^3.0.0"
+    micromark-util-character "^2.0.0"
 
-mdast-util-gfm-footnote@^1.0.0:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-1.0.2.tgz"
-  integrity sha512-56D19KOGbE00uKVj3sgIykpwKL179QsVFwx/DCW0u/0+URsryacI4MAdNJl0dh+u2PSsD9FtxPFbHCzJ78qJFQ==
+mdast-util-gfm-footnote@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-2.0.0.tgz"
+  integrity sha512-5jOT2boTSVkMnQ7LTrd6n/18kqwjmuYqo7JUPe+tRCY6O7dAuTFMtTPauYYrMPpox9hlN0uOx/FL8XvEfG9/mQ==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-to-markdown "^1.3.0"
-    micromark-util-normalize-identifier "^1.0.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.1.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
+    micromark-util-normalize-identifier "^2.0.0"
 
-mdast-util-gfm-strikethrough@^1.0.0:
-  version "1.0.3"
-  resolved "https://registry.npmjs.org/mdast-util-gfm-strikethrough/-/mdast-util-gfm-strikethrough-1.0.3.tgz"
-  integrity sha512-DAPhYzTYrRcXdMjUtUjKvW9z/FNAMTdU0ORyMcbmkwYNbKocDpdk+PX1L1dQgOID/+vVs1uBQ7ElrBQfZ0cuiQ==
+mdast-util-gfm-strikethrough@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-gfm-strikethrough/-/mdast-util-gfm-strikethrough-2.0.0.tgz"
+  integrity sha512-mKKb915TF+OC5ptj5bJ7WFRPdYtuHv0yTRxK2tJvi+BDqbkiG7h7u/9SI89nRAYcmap2xHQL9D+QG/6wSrTtXg==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-to-markdown "^1.3.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-gfm-table@^1.0.0:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/mdast-util-gfm-table/-/mdast-util-gfm-table-1.0.7.tgz"
-  integrity sha512-jjcpmNnQvrmN5Vx7y7lEc2iIOEytYv7rTvu+MeyAsSHTASGCCRA79Igg2uKssgOs1i1po8s3plW0sTu1wkkLGg==
+mdast-util-gfm-table@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-gfm-table/-/mdast-util-gfm-table-2.0.0.tgz"
+  integrity sha512-78UEvebzz/rJIxLvE7ZtDd/vIQ0RHv+3Mh5DR96p7cS7HsBhYIICDBCu8csTNWNO6tBWfqXPWekRuj2FNOGOZg==
   dependencies:
-    "@types/mdast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.0.0"
     markdown-table "^3.0.0"
-    mdast-util-from-markdown "^1.0.0"
-    mdast-util-to-markdown "^1.3.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-gfm-task-list-item@^1.0.0:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-1.0.2.tgz"
-  integrity sha512-PFTA1gzfp1B1UaiJVyhJZA1rm0+Tzn690frc/L8vNX1Jop4STZgOE6bxUhnzdVSB+vm2GU1tIsuQcA9bxTQpMQ==
+mdast-util-gfm-task-list-item@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-gfm-task-list-item/-/mdast-util-gfm-task-list-item-2.0.0.tgz"
+  integrity sha512-IrtvNvjxC1o06taBAVJznEnkiHxLFTzgonUdy8hzFVeDun0uTjxxrRGVaNFqkU1wJR3RBPEfsxmU6jDWPofrTQ==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-to-markdown "^1.3.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-gfm@^2.0.0:
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-2.0.2.tgz"
-  integrity sha512-qvZ608nBppZ4icQlhQQIAdc6S3Ffj9RGmzwUKUWuEICFnd1LVkN3EktF7ZHAgfcEdvZB5owU9tQgt99e2TlLjg==
+mdast-util-gfm@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-3.0.0.tgz"
+  integrity sha512-dgQEX5Amaq+DuUqf26jJqSK9qgixgd6rYDHAv4aTBuA92cTknZlKpPfa86Z/s8Dj8xsAQpFfBmPUHWJBWqS4Bw==
   dependencies:
-    mdast-util-from-markdown "^1.0.0"
-    mdast-util-gfm-autolink-literal "^1.0.0"
-    mdast-util-gfm-footnote "^1.0.0"
-    mdast-util-gfm-strikethrough "^1.0.0"
-    mdast-util-gfm-table "^1.0.0"
-    mdast-util-gfm-task-list-item "^1.0.0"
-    mdast-util-to-markdown "^1.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-gfm-autolink-literal "^2.0.0"
+    mdast-util-gfm-footnote "^2.0.0"
+    mdast-util-gfm-strikethrough "^2.0.0"
+    mdast-util-gfm-table "^2.0.0"
+    mdast-util-gfm-task-list-item "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-math@^2.0.0:
-  version "2.0.2"
-  resolved "https://registry.npmjs.org/mdast-util-math/-/mdast-util-math-2.0.2.tgz"
-  integrity sha512-8gmkKVp9v6+Tgjtq6SYx9kGPpTf6FVYRa53/DLh479aldR9AyP48qeVOgNZ5X7QUK7nOy4yw7vg6mbiGcs9jWQ==
+mdast-util-math@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-math/-/mdast-util-math-3.0.0.tgz"
+  integrity sha512-Tl9GBNeG/AhJnQM221bJR2HPvLOSnLE/T9cJI9tlc6zwQk2nPk/4f0cHkOdEixQPC/j8UtKDdITswvLAy1OZ1w==
   dependencies:
-    "@types/mdast" "^3.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.0.0"
     longest-streak "^3.0.0"
-    mdast-util-to-markdown "^1.3.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.1.0"
+    unist-util-remove-position "^5.0.0"
 
-mdast-util-mdx-expression@^1.0.0:
-  version "1.3.2"
-  resolved "https://registry.npmjs.org/mdast-util-mdx-expression/-/mdast-util-mdx-expression-1.3.2.tgz"
-  integrity sha512-xIPmR5ReJDu/DHH1OoIT1HkuybIfRGYRywC+gJtI7qHjCJp/M9jrmBEJW22O8lskDWm562BX2W8TiAwRTb0rKA==
+mdast-util-mdx-expression@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/mdast-util-mdx-expression/-/mdast-util-mdx-expression-2.0.1.tgz"
+  integrity sha512-J6f+9hUp+ldTZqKRSg7Vw5V6MqjATc+3E4gf3CFNcuZNWD8XdyI6zQ8GqH7f8169MM6P7hMBRDVGnn7oHB9kXQ==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
-    "@types/hast" "^2.0.0"
-    "@types/mdast" "^3.0.0"
-    mdast-util-from-markdown "^1.0.0"
-    mdast-util-to-markdown "^1.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-mdx-jsx@^2.0.0:
-  version "2.1.4"
-  resolved "https://registry.npmjs.org/mdast-util-mdx-jsx/-/mdast-util-mdx-jsx-2.1.4.tgz"
-  integrity sha512-DtMn9CmVhVzZx3f+optVDF8yFgQVt7FghCRNdlIaS3X5Bnym3hZwPbg/XW86vdpKjlc1PVj26SpnLGeJBXD3JA==
+mdast-util-mdx-jsx@^3.0.0:
+  version "3.1.3"
+  resolved "https://registry.npmjs.org/mdast-util-mdx-jsx/-/mdast-util-mdx-jsx-3.1.3.tgz"
+  integrity sha512-bfOjvNt+1AcbPLTFMFWY149nJz0OjmewJs3LQQ5pIyVGxP4CdOqNVJL6kTaM5c68p8q82Xv3nCyFfUnuEcH3UQ==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
-    "@types/hast" "^2.0.0"
-    "@types/mdast" "^3.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    "@types/unist" "^3.0.0"
     ccount "^2.0.0"
-    mdast-util-from-markdown "^1.1.0"
-    mdast-util-to-markdown "^1.3.0"
+    devlop "^1.1.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
     parse-entities "^4.0.0"
     stringify-entities "^4.0.0"
-    unist-util-remove-position "^4.0.0"
-    unist-util-stringify-position "^3.0.0"
-    vfile-message "^3.0.0"
+    unist-util-stringify-position "^4.0.0"
+    vfile-message "^4.0.0"
 
-mdast-util-mdx@^2.0.0:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/mdast-util-mdx/-/mdast-util-mdx-2.0.1.tgz"
-  integrity sha512-38w5y+r8nyKlGvNjSEqWrhG0w5PmnRA+wnBvm+ulYCct7nsGYhFVb0lljS9bQav4psDAS1eGkP2LMVcZBi/aqw==
+mdast-util-mdx@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-mdx/-/mdast-util-mdx-3.0.0.tgz"
+  integrity sha512-JfbYLAW7XnYTTbUsmpu0kdBUVe+yKVJZBItEjwyYJiDJuZ9w4eeaqks4HQO+R7objWgS2ymV60GYpI14Ug554w==
   dependencies:
-    mdast-util-from-markdown "^1.0.0"
-    mdast-util-mdx-expression "^1.0.0"
-    mdast-util-mdx-jsx "^2.0.0"
-    mdast-util-mdxjs-esm "^1.0.0"
-    mdast-util-to-markdown "^1.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-mdx-expression "^2.0.0"
+    mdast-util-mdx-jsx "^3.0.0"
+    mdast-util-mdxjs-esm "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-mdxjs-esm@^1.0.0:
-  version "1.3.1"
-  resolved "https://registry.npmjs.org/mdast-util-mdxjs-esm/-/mdast-util-mdxjs-esm-1.3.1.tgz"
-  integrity sha512-SXqglS0HrEvSdUEfoXFtcg7DRl7S2cwOXc7jkuusG472Mmjag34DUDeOJUZtl+BVnyeO1frIgVpHlNRWc2gk/w==
+mdast-util-mdxjs-esm@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/mdast-util-mdxjs-esm/-/mdast-util-mdxjs-esm-2.0.1.tgz"
+  integrity sha512-EcmOpxsZ96CvlP03NghtH1EsLtr0n9Tm4lPUJUBccV9RwUOneqSycg19n5HGzCf+10LozMRSObtVr3ee1WoHtg==
   dependencies:
     "@types/estree-jsx" "^1.0.0"
-    "@types/hast" "^2.0.0"
-    "@types/mdast" "^3.0.0"
-    mdast-util-from-markdown "^1.0.0"
-    mdast-util-to-markdown "^1.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    devlop "^1.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    mdast-util-to-markdown "^2.0.0"
 
-mdast-util-newline-to-break@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/mdast-util-newline-to-break/-/mdast-util-newline-to-break-1.0.0.tgz"
-  integrity sha512-491LcYv3gbGhhCrLoeALncQmega2xPh+m3gbsIhVsOX4sw85+ShLFPvPyibxc1Swx/6GtzxgVodq+cGa/47ULg==
+mdast-util-newline-to-break@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-newline-to-break/-/mdast-util-newline-to-break-2.0.0.tgz"
+  integrity sha512-MbgeFca0hLYIEx/2zGsszCSEJJ1JSCdiY5xQxRcLDDGa8EPvlLPupJ4DSajbMPAnC0je8jfb9TiUATnxxrHUog==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-find-and-replace "^2.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-find-and-replace "^3.0.0"
 
-mdast-util-phrasing@^3.0.0:
-  version "3.0.1"
-  resolved "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-3.0.1.tgz"
-  integrity sha512-WmI1gTXUBJo4/ZmSk79Wcb2HcjPJBzM1nlI/OUWA8yk2X9ik3ffNbBGsU+09BFmXaL1IBb9fiuvq6/KMiNycSg==
+mdast-util-phrasing@^4.0.0:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/mdast-util-phrasing/-/mdast-util-phrasing-4.1.0.tgz"
+  integrity sha512-TqICwyvJJpBwvGAMZjj4J2n0X8QWp21b9l0o7eXyVJ25YNWYbJDVIyD1bZXE6WtV6RmKJVYmQAKWa0zWOABz2w==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    unist-util-is "^5.0.0"
-
-mdast-util-to-hast@^12.1.0:
-  version "12.3.0"
-  resolved "https://registry.npmjs.org/mdast-util-to-hast/-/mdast-util-to-hast-12.3.0.tgz"
-  integrity sha512-pits93r8PhnIoU4Vy9bjW39M2jJ6/tdHyja9rrot9uujkN7UTU9SDnE6WNJz/IGyQk3XHX6yNNtrBH6cQzm8Hw==
-  dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/mdast" "^3.0.0"
-    mdast-util-definitions "^5.0.0"
-    micromark-util-sanitize-uri "^1.1.0"
-    trim-lines "^3.0.0"
-    unist-util-generated "^2.0.0"
-    unist-util-position "^4.0.0"
-    unist-util-visit "^4.0.0"
+    "@types/mdast" "^4.0.0"
+    unist-util-is "^6.0.0"
 
 mdast-util-to-hast@^13.0.0:
   version "13.2.0"
@@ -9229,31 +9600,27 @@ mdast-util-to-hast@^13.0.0:
     unist-util-visit "^5.0.0"
     vfile "^6.0.0"
 
-mdast-util-to-markdown@^1.0.0, mdast-util-to-markdown@^1.3.0:
-  version "1.5.0"
-  resolved "https://registry.npmjs.org/mdast-util-to-markdown/-/mdast-util-to-markdown-1.5.0.tgz"
-  integrity sha512-bbv7TPv/WC49thZPg3jXuqzuvI45IL2EVAr/KxF0BSdHsU0ceFHOmwQn6evxAh1GaoK/6GQ1wp4R4oW2+LFL/A==
+mdast-util-to-markdown@^2.0.0, mdast-util-to-markdown@^2.1.0:
+  version "2.1.2"
+  resolved "https://registry.npmjs.org/mdast-util-to-markdown/-/mdast-util-to-markdown-2.1.2.tgz"
+  integrity sha512-xj68wMTvGXVOKonmog6LwyJKrYXZPvlwabaryTjLh9LuvovB/KAH+kvi8Gjj+7rJjsFi23nkUxRQv1KqSroMqA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    "@types/unist" "^2.0.0"
+    "@types/mdast" "^4.0.0"
+    "@types/unist" "^3.0.0"
     longest-streak "^3.0.0"
-    mdast-util-phrasing "^3.0.0"
-    mdast-util-to-string "^3.0.0"
-    micromark-util-decode-string "^1.0.0"
-    unist-util-visit "^4.0.0"
+    mdast-util-phrasing "^4.0.0"
+    mdast-util-to-string "^4.0.0"
+    micromark-util-classify-character "^2.0.0"
+    micromark-util-decode-string "^2.0.0"
+    unist-util-visit "^5.0.0"
     zwitch "^2.0.0"
 
-mdast-util-to-string@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/mdast-util-to-string/-/mdast-util-to-string-2.0.0.tgz"
-  integrity sha512-AW4DRS3QbBayY/jJmD8437V1Gombjf8RSOUCMFBuo5iHi58AGEgVCKQ+ezHkZZDpAQS75hcBMpLqjpJTjtUL7w==
-
-mdast-util-to-string@^3.0.0, mdast-util-to-string@^3.1.0:
-  version "3.2.0"
-  resolved "https://registry.npmjs.org/mdast-util-to-string/-/mdast-util-to-string-3.2.0.tgz"
-  integrity sha512-V4Zn/ncyN1QNSqSBxTrMOLpjr+IKdHl2v3KVLoWmDPscP4r9GcCi71gjgvUV1SFSKh92AjAG4peFuBl2/YgCJg==
+mdast-util-to-string@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.npmjs.org/mdast-util-to-string/-/mdast-util-to-string-4.0.0.tgz"
+  integrity sha512-0H44vDimn51F0YwvxSJSm0eCDOJTRlmN0R1yBh4HLj9wiV1Dn0QoXGbvFAWj2hSItVTlCmBF1hqKlIyUBVFLPg==
   dependencies:
-    "@types/mdast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
 
 memfs@^3.4.1, memfs@^3.4.12:
   version "3.5.3"
@@ -9310,254 +9677,253 @@ mermaid@11.4.1:
     ts-dedent "^2.2.0"
     uuid "^9.0.1"
 
-micromark-core-commonmark@^1.0.0, micromark-core-commonmark@^1.0.1:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-1.1.0.tgz"
-  integrity sha512-BgHO1aRbolh2hcrzL2d1La37V0Aoz73ymF8rAcKnohLy93titmv62E0gP8Hrx9PKcKrqCZ1BbLGbP3bEhoXYlw==
+micro-memoize@^4.1.2:
+  version "4.1.2"
+  resolved "https://registry.npmjs.org/micro-memoize/-/micro-memoize-4.1.2.tgz"
+  integrity sha512-+HzcV2H+rbSJzApgkj0NdTakkC+bnyeiUxgT6/m7mjcz1CmM22KYFKp+EVj1sWe4UYcnriJr5uqHQD/gMHLD+g==
+
+micromark-core-commonmark@^2.0.0:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/micromark-core-commonmark/-/micromark-core-commonmark-2.0.2.tgz"
+  integrity sha512-FKjQKbxd1cibWMM1P9N+H8TwlgGgSkWZMmfuVucLCHaYqeSvJ0hFeHsIa65pA2nYbes0f8LDHPMrd9X7Ujxg9w==
   dependencies:
     decode-named-character-reference "^1.0.0"
-    micromark-factory-destination "^1.0.0"
-    micromark-factory-label "^1.0.0"
-    micromark-factory-space "^1.0.0"
-    micromark-factory-title "^1.0.0"
-    micromark-factory-whitespace "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-chunked "^1.0.0"
-    micromark-util-classify-character "^1.0.0"
-    micromark-util-html-tag-name "^1.0.0"
-    micromark-util-normalize-identifier "^1.0.0"
-    micromark-util-resolve-all "^1.0.0"
-    micromark-util-subtokenize "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.1"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-factory-destination "^2.0.0"
+    micromark-factory-label "^2.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-factory-title "^2.0.0"
+    micromark-factory-whitespace "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-chunked "^2.0.0"
+    micromark-util-classify-character "^2.0.0"
+    micromark-util-html-tag-name "^2.0.0"
+    micromark-util-normalize-identifier "^2.0.0"
+    micromark-util-resolve-all "^2.0.0"
+    micromark-util-subtokenize "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-autolink-literal@^1.0.0:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-autolink-literal/-/micromark-extension-gfm-autolink-literal-1.0.5.tgz"
-  integrity sha512-z3wJSLrDf8kRDOh2qBtoTRD53vJ+CWIyo7uyZuxf/JAbNJjiHsOpG1y5wxk8drtv3ETAHutCu6N3thkOOgueWg==
+micromark-extension-gfm-autolink-literal@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-autolink-literal/-/micromark-extension-gfm-autolink-literal-2.1.0.tgz"
+  integrity sha512-oOg7knzhicgQ3t4QCjCWgTmfNhvQbDDnJeVu9v81r7NltNCVmhPy1fJRX27pISafdjL+SVc4d3l48Gb6pbRypw==
   dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-sanitize-uri "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-sanitize-uri "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-footnote@^1.0.0:
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-footnote/-/micromark-extension-gfm-footnote-1.1.2.tgz"
-  integrity sha512-Yxn7z7SxgyGWRNa4wzf8AhYYWNrwl5q1Z8ii+CSTTIqVkmGZF1CElX2JI8g5yGoM3GAman9/PVCUFUSJ0kB/8Q==
+micromark-extension-gfm-footnote@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-footnote/-/micromark-extension-gfm-footnote-2.1.0.tgz"
+  integrity sha512-/yPhxI1ntnDNsiHtzLKYnE3vf9JZ6cAisqVDauhp4CEHxlb4uoOTxOCJ+9s51bIB8U1N1FJ1RXOKTIlD5B/gqw==
   dependencies:
-    micromark-core-commonmark "^1.0.0"
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-normalize-identifier "^1.0.0"
-    micromark-util-sanitize-uri "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-core-commonmark "^2.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-normalize-identifier "^2.0.0"
+    micromark-util-sanitize-uri "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-strikethrough@^1.0.0:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-strikethrough/-/micromark-extension-gfm-strikethrough-1.0.7.tgz"
-  integrity sha512-sX0FawVE1o3abGk3vRjOH50L5TTLr3b5XMqnP9YDRb34M0v5OoZhG+OHFz1OffZ9dlwgpTBKaT4XW/AsUVnSDw==
+micromark-extension-gfm-strikethrough@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-strikethrough/-/micromark-extension-gfm-strikethrough-2.1.0.tgz"
+  integrity sha512-ADVjpOOkjz1hhkZLlBiYA9cR2Anf8F4HqZUO6e5eDcPQd0Txw5fxLzzxnEkSkfnD0wziSGiv7sYhk/ktvbf1uw==
   dependencies:
-    micromark-util-chunked "^1.0.0"
-    micromark-util-classify-character "^1.0.0"
-    micromark-util-resolve-all "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-util-chunked "^2.0.0"
+    micromark-util-classify-character "^2.0.0"
+    micromark-util-resolve-all "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-table@^1.0.0:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-table/-/micromark-extension-gfm-table-1.0.7.tgz"
-  integrity sha512-3ZORTHtcSnMQEKtAOsBQ9/oHp9096pI/UvdPtN7ehKvrmZZ2+bbWhi0ln+I9drmwXMt5boocn6OlwQzNXeVeqw==
+micromark-extension-gfm-table@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-table/-/micromark-extension-gfm-table-2.1.0.tgz"
+  integrity sha512-Ub2ncQv+fwD70/l4ou27b4YzfNaCJOvyX4HxXU15m7mpYY+rjuWzsLIPZHJL253Z643RpbcP1oeIJlQ/SKW67g==
   dependencies:
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-tagfilter@^1.0.0:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-tagfilter/-/micromark-extension-gfm-tagfilter-1.0.2.tgz"
-  integrity sha512-5XWB9GbAUSHTn8VPU8/1DBXMuKYT5uOgEjJb8gN3mW0PNW5OPHpSdojoqf+iq1xo7vWzw/P8bAHY0n6ijpXF7g==
+micromark-extension-gfm-tagfilter@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-tagfilter/-/micromark-extension-gfm-tagfilter-2.0.0.tgz"
+  integrity sha512-xHlTOmuCSotIA8TW1mDIM6X2O1SiX5P9IuDtqGonFhEK0qgRI4yeC6vMxEV2dgyr2TiD+2PQ10o+cOhdVAcwfg==
   dependencies:
-    micromark-util-types "^1.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm-task-list-item@^1.0.0:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm-task-list-item/-/micromark-extension-gfm-task-list-item-1.0.5.tgz"
-  integrity sha512-RMFXl2uQ0pNQy6Lun2YBYT9g9INXtWJULgbt01D/x8/6yJ2qpKyzdZD3pi6UIkzF++Da49xAelVKUeUMqd5eIQ==
+micromark-extension-gfm-task-list-item@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm-task-list-item/-/micromark-extension-gfm-task-list-item-2.1.0.tgz"
+  integrity sha512-qIBZhqxqI6fjLDYFTBIa4eivDMnP+OZqsNwmQ3xNLE4Cxwc+zfQEfbs6tzAo2Hjq+bh6q5F+Z8/cksrLFYWQQw==
   dependencies:
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-gfm@^2.0.0:
-  version "2.0.3"
-  resolved "https://registry.npmjs.org/micromark-extension-gfm/-/micromark-extension-gfm-2.0.3.tgz"
-  integrity sha512-vb9OoHqrhCmbRidQv/2+Bc6pkP0FrtlhurxZofvOEy5o8RtuuvTq+RQ1Vw5ZDNrVraQZu3HixESqbG+0iKk/MQ==
+micromark-extension-gfm@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-gfm/-/micromark-extension-gfm-3.0.0.tgz"
+  integrity sha512-vsKArQsicm7t0z2GugkCKtZehqUm31oeGBV/KVSorWSy8ZlNAv7ytjFhvaryUiCUJYqs+NoE6AFhpQvBTM6Q4w==
   dependencies:
-    micromark-extension-gfm-autolink-literal "^1.0.0"
-    micromark-extension-gfm-footnote "^1.0.0"
-    micromark-extension-gfm-strikethrough "^1.0.0"
-    micromark-extension-gfm-table "^1.0.0"
-    micromark-extension-gfm-tagfilter "^1.0.0"
-    micromark-extension-gfm-task-list-item "^1.0.0"
-    micromark-util-combine-extensions "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-extension-gfm-autolink-literal "^2.0.0"
+    micromark-extension-gfm-footnote "^2.0.0"
+    micromark-extension-gfm-strikethrough "^2.0.0"
+    micromark-extension-gfm-table "^2.0.0"
+    micromark-extension-gfm-tagfilter "^2.0.0"
+    micromark-extension-gfm-task-list-item "^2.0.0"
+    micromark-util-combine-extensions "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-math@^2.0.0:
-  version "2.1.2"
-  resolved "https://registry.npmjs.org/micromark-extension-math/-/micromark-extension-math-2.1.2.tgz"
-  integrity sha512-es0CcOV89VNS9wFmyn+wyFTKweXGW4CEvdaAca6SWRWPyYCbBisnjaHLjWO4Nszuiud84jCpkHsqAJoa768Pvg==
+micromark-extension-math@^3.0.0:
+  version "3.1.0"
+  resolved "https://registry.npmjs.org/micromark-extension-math/-/micromark-extension-math-3.1.0.tgz"
+  integrity sha512-lvEqd+fHjATVs+2v/8kg9i5Q0AP2k85H0WUOwpIVvUML8BapsMvh1XAogmQjOCsLpoKRCVQqEkQBB3NhVBcsOg==
   dependencies:
     "@types/katex" "^0.16.0"
+    devlop "^1.0.0"
     katex "^0.16.0"
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-mdx-expression@^1.0.0:
-  version "1.0.8"
-  resolved "https://registry.npmjs.org/micromark-extension-mdx-expression/-/micromark-extension-mdx-expression-1.0.8.tgz"
-  integrity sha512-zZpeQtc5wfWKdzDsHRBY003H2Smg+PUi2REhqgIhdzAa5xonhP03FcXxqFSerFiNUr5AWmHpaNPQTBVOS4lrXw==
+micromark-extension-mdx-expression@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-mdx-expression/-/micromark-extension-mdx-expression-3.0.0.tgz"
+  integrity sha512-sI0nwhUDz97xyzqJAbHQhp5TfaxEvZZZ2JDqUo+7NvyIYG6BZ5CPPqj2ogUoPJlmXHBnyZUzISg9+oUmU6tUjQ==
   dependencies:
     "@types/estree" "^1.0.0"
-    micromark-factory-mdx-expression "^1.0.0"
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-events-to-acorn "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-factory-mdx-expression "^2.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-events-to-acorn "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-mdx-jsx@^1.0.0:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/micromark-extension-mdx-jsx/-/micromark-extension-mdx-jsx-1.0.5.tgz"
-  integrity sha512-gPH+9ZdmDflbu19Xkb8+gheqEDqkSpdCEubQyxuz/Hn8DOXiXvrXeikOoBA71+e8Pfi0/UYmU3wW3H58kr7akA==
+micromark-extension-mdx-jsx@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.npmjs.org/micromark-extension-mdx-jsx/-/micromark-extension-mdx-jsx-3.0.1.tgz"
+  integrity sha512-vNuFb9czP8QCtAQcEJn0UJQJZA8Dk6DXKBqx+bg/w0WGuSxDxNr7hErW89tHUY31dUW4NqEOWwmEUNhjTFmHkg==
   dependencies:
     "@types/acorn" "^4.0.0"
     "@types/estree" "^1.0.0"
-    estree-util-is-identifier-name "^2.0.0"
-    micromark-factory-mdx-expression "^1.0.0"
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
-    vfile-message "^3.0.0"
+    devlop "^1.0.0"
+    estree-util-is-identifier-name "^3.0.0"
+    micromark-factory-mdx-expression "^2.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-events-to-acorn "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
+    vfile-message "^4.0.0"
 
-micromark-extension-mdx-md@^1.0.0:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/micromark-extension-mdx-md/-/micromark-extension-mdx-md-1.0.1.tgz"
-  integrity sha512-7MSuj2S7xjOQXAjjkbjBsHkMtb+mDGVW6uI2dBL9snOBCbZmoNgDAeZ0nSn9j3T42UE/g2xVNMn18PJxZvkBEA==
+micromark-extension-mdx-md@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-mdx-md/-/micromark-extension-mdx-md-2.0.0.tgz"
+  integrity sha512-EpAiszsB3blw4Rpba7xTOUptcFeBFi+6PY8VnJ2hhimH+vCQDirWgsMpz7w1XcZE7LVrSAUGb9VJpG9ghlYvYQ==
   dependencies:
-    micromark-util-types "^1.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-extension-mdxjs-esm@^1.0.0:
-  version "1.0.5"
-  resolved "https://registry.npmjs.org/micromark-extension-mdxjs-esm/-/micromark-extension-mdxjs-esm-1.0.5.tgz"
-  integrity sha512-xNRBw4aoURcyz/S69B19WnZAkWJMxHMT5hE36GtDAyhoyn/8TuAeqjFJQlwk+MKQsUD7b3l7kFX+vlfVWgcX1w==
+micromark-extension-mdxjs-esm@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-mdxjs-esm/-/micromark-extension-mdxjs-esm-3.0.0.tgz"
+  integrity sha512-DJFl4ZqkErRpq/dAPyeWp15tGrcrrJho1hKK5uBS70BCtfrIFg81sqcTVu3Ta+KD1Tk5vAtBNElWxtAa+m8K9A==
   dependencies:
     "@types/estree" "^1.0.0"
-    micromark-core-commonmark "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-events-to-acorn "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    unist-util-position-from-estree "^1.1.0"
-    uvu "^0.5.0"
-    vfile-message "^3.0.0"
+    devlop "^1.0.0"
+    micromark-core-commonmark "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-events-to-acorn "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
+    unist-util-position-from-estree "^2.0.0"
+    vfile-message "^4.0.0"
 
-micromark-extension-mdxjs@^1.0.0:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/micromark-extension-mdxjs/-/micromark-extension-mdxjs-1.0.1.tgz"
-  integrity sha512-7YA7hF6i5eKOfFUzZ+0z6avRG52GpWR8DL+kN47y3f2KhxbBZMhmxe7auOeaTBrW2DenbbZTf1ea9tA2hDpC2Q==
+micromark-extension-mdxjs@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/micromark-extension-mdxjs/-/micromark-extension-mdxjs-3.0.0.tgz"
+  integrity sha512-A873fJfhnJ2siZyUrJ31l34Uqwy4xIFmvPY1oj+Ean5PHcPBYzEsvqvWGaWcfEIr11O5Dlw3p2y0tZWpKHDejQ==
   dependencies:
     acorn "^8.0.0"
     acorn-jsx "^5.0.0"
-    micromark-extension-mdx-expression "^1.0.0"
-    micromark-extension-mdx-jsx "^1.0.0"
-    micromark-extension-mdx-md "^1.0.0"
-    micromark-extension-mdxjs-esm "^1.0.0"
-    micromark-util-combine-extensions "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-extension-mdx-expression "^3.0.0"
+    micromark-extension-mdx-jsx "^3.0.0"
+    micromark-extension-mdx-md "^2.0.0"
+    micromark-extension-mdxjs-esm "^3.0.0"
+    micromark-util-combine-extensions "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-factory-destination@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-1.1.0.tgz"
-  integrity sha512-XaNDROBgx9SgSChd69pjiGKbV+nfHGDPVYFs5dOoDd7ZnMAE+Cuu91BCpsY8RT2NP9vo/B8pds2VQNCLiu0zhg==
+micromark-factory-destination@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-2.0.1.tgz"
+  integrity sha512-Xe6rDdJlkmbFRExpTOmRj9N3MaWmbAgdpSrBQvCFqhezUn4AHqJHbaEnfbVYYiexVSs//tqOdY/DxhjdCiJnIA==
   dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-factory-label@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-factory-label/-/micromark-factory-label-1.1.0.tgz"
-  integrity sha512-OLtyez4vZo/1NjxGhcpDSbHQ+m0IIGnT8BoPamh+7jVlzLJBH98zzuCoUeMxvM6WsNeh8wx8cKvqLiPHEACn0w==
+micromark-factory-label@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-factory-label/-/micromark-factory-label-2.0.1.tgz"
+  integrity sha512-VFMekyQExqIW7xIChcXn4ok29YE3rnuyveW3wZQWWqF4Nv9Wk5rgJ99KzPvHjkmPXF93FXIbBp6YdW3t71/7Vg==
   dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-factory-mdx-expression@^1.0.0:
-  version "1.0.9"
-  resolved "https://registry.npmjs.org/micromark-factory-mdx-expression/-/micromark-factory-mdx-expression-1.0.9.tgz"
-  integrity sha512-jGIWzSmNfdnkJq05c7b0+Wv0Kfz3NJ3N4cBjnbO4zjXIlxJr+f8lk+5ZmwFvqdAbUy2q6B5rCY//g0QAAaXDWA==
+micromark-factory-mdx-expression@^2.0.0:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/micromark-factory-mdx-expression/-/micromark-factory-mdx-expression-2.0.2.tgz"
+  integrity sha512-5E5I2pFzJyg2CtemqAbcyCktpHXuJbABnsb32wX2U8IQKhhVFBqkcZR5LRm1WVoFqa4kTueZK4abep7wdo9nrw==
   dependencies:
     "@types/estree" "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-events-to-acorn "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    unist-util-position-from-estree "^1.0.0"
-    uvu "^0.5.0"
-    vfile-message "^3.0.0"
+    devlop "^1.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-events-to-acorn "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
+    unist-util-position-from-estree "^2.0.0"
+    vfile-message "^4.0.0"
 
-micromark-factory-space@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-factory-space/-/micromark-factory-space-1.1.0.tgz"
-  integrity sha512-cRzEj7c0OL4Mw2v6nwzttyOZe8XY/Z8G0rzmWQZTBi/jjwyw/U4uqKtUORXQrR5bAZZnbTI/feRV/R7hc4jQYQ==
+micromark-factory-space@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-factory-space/-/micromark-factory-space-2.0.1.tgz"
+  integrity sha512-zRkxjtBxxLd2Sc0d+fbnEunsTj46SWXgXciZmHq0kDYGnck/ZSGj9/wULTV95uoeYiK5hRXP2mJ98Uo4cq/LQg==
   dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-factory-title@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-factory-title/-/micromark-factory-title-1.1.0.tgz"
-  integrity sha512-J7n9R3vMmgjDOCY8NPw55jiyaQnH5kBdV2/UXCtZIpnHH3P6nHUKaH7XXEYuWwx/xUJcawa8plLBEjMPU24HzQ==
+micromark-factory-title@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-factory-title/-/micromark-factory-title-2.0.1.tgz"
+  integrity sha512-5bZ+3CjhAd9eChYTHsjy6TGxpOFSKgKKJPJxr293jTbfry2KDoWkhBb6TcPVB4NmzaPhMs1Frm9AZH7OD4Cjzw==
   dependencies:
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-factory-whitespace@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-factory-whitespace/-/micromark-factory-whitespace-1.1.0.tgz"
-  integrity sha512-v2WlmiymVSp5oMg+1Q0N1Lxmt6pMhIHD457whWM7/GUlEks1hI9xj5w3zbc4uuMKXGisksZk8DzP2UyGbGqNsQ==
+micromark-factory-whitespace@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-factory-whitespace/-/micromark-factory-whitespace-2.0.1.tgz"
+  integrity sha512-Ob0nuZ3PKt/n0hORHyvoD9uZhr+Za8sFoP+OnMcnWK5lngSzALgQYKMr9RJVOWLqQYuyn6ulqGWSXdwf6F80lQ==
   dependencies:
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-
-micromark-util-character@^1.0.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/micromark-util-character/-/micromark-util-character-1.2.0.tgz"
-  integrity sha512-lXraTwcX3yH/vMDaFWCQJP1uIszLVebzUa3ZHdrgxr7KEU/9mL4mVgCpGbyhvNLNlauROiNUq7WN5u7ndbY6xg==
-  dependencies:
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
 micromark-util-character@^2.0.0:
   version "2.1.0"
@@ -9567,98 +9933,84 @@ micromark-util-character@^2.0.0:
     micromark-util-symbol "^2.0.0"
     micromark-util-types "^2.0.0"
 
-micromark-util-chunked@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-chunked/-/micromark-util-chunked-1.1.0.tgz"
-  integrity sha512-Ye01HXpkZPNcV6FiyoW2fGZDUw4Yc7vT0E9Sad83+bEDiCJ1uXu0S3mr8WLpsz3HaG3x2q0HM6CTuPdcZcluFQ==
+micromark-util-chunked@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-chunked/-/micromark-util-chunked-2.0.1.tgz"
+  integrity sha512-QUNFEOPELfmvv+4xiNg2sRYeS/P84pTW0TCgP5zc9FpXetHY0ab7SxKyAQCNCc1eK0459uoLI1y5oO5Vc1dbhA==
   dependencies:
-    micromark-util-symbol "^1.0.0"
+    micromark-util-symbol "^2.0.0"
 
-micromark-util-classify-character@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-classify-character/-/micromark-util-classify-character-1.1.0.tgz"
-  integrity sha512-SL0wLxtKSnklKSUplok1WQFoGhUdWYKggKUiqhX+Swala+BtptGCu5iPRc+xvzJ4PXE/hwM3FNXsfEVgoZsWbw==
+micromark-util-classify-character@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-classify-character/-/micromark-util-classify-character-2.0.1.tgz"
+  integrity sha512-K0kHzM6afW/MbeWYWLjoHQv1sgg2Q9EccHEDzSkxiP/EaagNzCm7T/WMKZ3rjMbvIpvBiZgwR3dKMygtA4mG1Q==
   dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-util-combine-extensions@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-combine-extensions/-/micromark-util-combine-extensions-1.1.0.tgz"
-  integrity sha512-Q20sp4mfNf9yEqDL50WwuWZHUrCO4fEyeDCnMGmG5Pr0Cz15Uo7KBs6jq+dq0EgX4DPwwrh9m0X+zPV1ypFvUA==
+micromark-util-combine-extensions@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-combine-extensions/-/micromark-util-combine-extensions-2.0.1.tgz"
+  integrity sha512-OnAnH8Ujmy59JcyZw8JSbK9cGpdVY44NKgSM7E9Eh7DiLS2E9RNQf0dONaGDzEG9yjEl5hcqeIsj4hfRkLH/Bg==
   dependencies:
-    micromark-util-chunked "^1.0.0"
-    micromark-util-types "^1.0.0"
+    micromark-util-chunked "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark-util-decode-numeric-character-reference@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-decode-numeric-character-reference/-/micromark-util-decode-numeric-character-reference-1.1.0.tgz"
-  integrity sha512-m9V0ExGv0jB1OT21mrWcuf4QhP46pH1KkfWy9ZEezqHKAxkj4mPCy3nIH1rkbdMlChLHX531eOrymlwyZIf2iw==
+micromark-util-decode-numeric-character-reference@^2.0.0:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/micromark-util-decode-numeric-character-reference/-/micromark-util-decode-numeric-character-reference-2.0.2.tgz"
+  integrity sha512-ccUbYk6CwVdkmCQMyr64dXz42EfHGkPQlBj5p7YVGzq8I7CtjXZJrubAYezf7Rp+bjPseiROqe7G6foFd+lEuw==
   dependencies:
-    micromark-util-symbol "^1.0.0"
+    micromark-util-symbol "^2.0.0"
 
-micromark-util-decode-string@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-decode-string/-/micromark-util-decode-string-1.1.0.tgz"
-  integrity sha512-YphLGCK8gM1tG1bd54azwyrQRjCFcmgj2S2GoJDNnh4vYtnL38JS8M4gpxzOPNyHdNEpheyWXCTnnTDY3N+NVQ==
+micromark-util-decode-string@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-decode-string/-/micromark-util-decode-string-2.0.1.tgz"
+  integrity sha512-nDV/77Fj6eH1ynwscYTOsbK7rR//Uj0bZXBwJZRfaLEJ1iGBR6kIfNmlNqaqJf649EP0F3NWNdeJi03elllNUQ==
   dependencies:
     decode-named-character-reference "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-decode-numeric-character-reference "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-
-micromark-util-encode@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-encode/-/micromark-util-encode-1.1.0.tgz"
-  integrity sha512-EuEzTWSTAj9PA5GOAs992GzNh2dGQO52UvAbtSOMvXTxv3Criqb6IOzJUBCmEqrrXSblJIJBbFFv6zPxpreiJw==
+    micromark-util-character "^2.0.0"
+    micromark-util-decode-numeric-character-reference "^2.0.0"
+    micromark-util-symbol "^2.0.0"
 
 micromark-util-encode@^2.0.0:
   version "2.0.0"
   resolved "https://registry.npmjs.org/micromark-util-encode/-/micromark-util-encode-2.0.0.tgz"
   integrity sha512-pS+ROfCXAGLWCOc8egcBvT0kf27GoWMqtdarNfDcjb6YLuV5cM3ioG45Ys2qOVqeqSbjaKg72vU+Wby3eddPsA==
 
-micromark-util-events-to-acorn@^1.0.0:
-  version "1.2.3"
-  resolved "https://registry.npmjs.org/micromark-util-events-to-acorn/-/micromark-util-events-to-acorn-1.2.3.tgz"
-  integrity sha512-ij4X7Wuc4fED6UoLWkmo0xJQhsktfNh1J0m8g4PbIMPlx+ek/4YdW5mvbye8z/aZvAPUoxgXHrwVlXAPKMRp1w==
+micromark-util-events-to-acorn@^2.0.0:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/micromark-util-events-to-acorn/-/micromark-util-events-to-acorn-2.0.2.tgz"
+  integrity sha512-Fk+xmBrOv9QZnEDguL9OI9/NQQp6Hz4FuQ4YmCb/5V7+9eAh1s6AYSvL20kHkD67YIg7EpE54TiSlcsf3vyZgA==
   dependencies:
     "@types/acorn" "^4.0.0"
     "@types/estree" "^1.0.0"
-    "@types/unist" "^2.0.0"
-    estree-util-visit "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
-    vfile-message "^3.0.0"
+    "@types/unist" "^3.0.0"
+    devlop "^1.0.0"
+    estree-util-visit "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
+    vfile-message "^4.0.0"
 
-micromark-util-html-tag-name@^1.0.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/micromark-util-html-tag-name/-/micromark-util-html-tag-name-1.2.0.tgz"
-  integrity sha512-VTQzcuQgFUD7yYztuQFKXT49KghjtETQ+Wv/zUjGSGBioZnkA4P1XXZPT1FHeJA6RwRXSF47yvJ1tsJdoxwO+Q==
+micromark-util-html-tag-name@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-html-tag-name/-/micromark-util-html-tag-name-2.0.1.tgz"
+  integrity sha512-2cNEiYDhCWKI+Gs9T0Tiysk136SnR13hhO8yW6BGNyhOC4qYFnwF1nKfD3HFAIXA5c45RrIG1ub11GiXeYd1xA==
 
-micromark-util-normalize-identifier@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-normalize-identifier/-/micromark-util-normalize-identifier-1.1.0.tgz"
-  integrity sha512-N+w5vhqrBihhjdpM8+5Xsxy71QWqGn7HYNUvch71iV2PM7+E3uWGox1Qp90loa1ephtCxG2ftRV/Conitc6P2Q==
+micromark-util-normalize-identifier@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-normalize-identifier/-/micromark-util-normalize-identifier-2.0.1.tgz"
+  integrity sha512-sxPqmo70LyARJs0w2UclACPUUEqltCkJ6PhKdMIDuJ3gSf/Q+/GIe3WKl0Ijb/GyH9lOpUkRAO2wp0GVkLvS9Q==
   dependencies:
-    micromark-util-symbol "^1.0.0"
+    micromark-util-symbol "^2.0.0"
 
-micromark-util-resolve-all@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-resolve-all/-/micromark-util-resolve-all-1.1.0.tgz"
-  integrity sha512-b/G6BTMSg+bX+xVCshPTPyAu2tmA0E4X98NSR7eIbeC6ycCqCeE7wjfDIgzEbkzdEVJXRtOG4FbEm/uGbCRouA==
+micromark-util-resolve-all@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/micromark-util-resolve-all/-/micromark-util-resolve-all-2.0.1.tgz"
+  integrity sha512-VdQyxFWFT2/FGJgwQnJYbe1jjQoNTS4RjglmSjTUlpUMa95Htx9NHeYW4rGDJzbjvCsl9eLjMQwGeElsqmzcHg==
   dependencies:
-    micromark-util-types "^1.0.0"
-
-micromark-util-sanitize-uri@^1.0.0, micromark-util-sanitize-uri@^1.1.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/micromark-util-sanitize-uri/-/micromark-util-sanitize-uri-1.2.0.tgz"
-  integrity sha512-QO4GXv0XZfWey4pYFndLUKEAktKkG5kZTdUNaTAkzbuJxn2tNBOr+QtxR2XpWaMhbImT2dPzyLrPXLlPhph34A==
-  dependencies:
-    micromark-util-character "^1.0.0"
-    micromark-util-encode "^1.0.0"
-    micromark-util-symbol "^1.0.0"
+    micromark-util-types "^2.0.0"
 
 micromark-util-sanitize-uri@^2.0.0:
   version "2.0.0"
@@ -9669,68 +10021,50 @@ micromark-util-sanitize-uri@^2.0.0:
     micromark-util-encode "^2.0.0"
     micromark-util-symbol "^2.0.0"
 
-micromark-util-subtokenize@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-1.1.0.tgz"
-  integrity sha512-kUQHyzRoxvZO2PuLzMt2P/dwVsTiivCK8icYTeR+3WgbuPqfHgPPy7nFKbeqRivBvn/3N3GBiNC+JRTMSxEC7A==
+micromark-util-subtokenize@^2.0.0:
+  version "2.0.3"
+  resolved "https://registry.npmjs.org/micromark-util-subtokenize/-/micromark-util-subtokenize-2.0.3.tgz"
+  integrity sha512-VXJJuNxYWSoYL6AJ6OQECCFGhIU2GGHMw8tahogePBrjkG8aCCas3ibkp7RnVOSTClg2is05/R7maAhF1XyQMg==
   dependencies:
-    micromark-util-chunked "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.0"
-    uvu "^0.5.0"
-
-micromark-util-symbol@^1.0.0:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-symbol/-/micromark-util-symbol-1.1.0.tgz"
-  integrity sha512-uEjpEYY6KMs1g7QfJ2eX1SQEV+ZT4rUD3UcF6l57acZvLNK7PBZL+ty82Z1qhK1/yXIY4bdx04FKMgR0g4IAag==
+    devlop "^1.0.0"
+    micromark-util-chunked "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
 micromark-util-symbol@^2.0.0:
   version "2.0.0"
   resolved "https://registry.npmjs.org/micromark-util-symbol/-/micromark-util-symbol-2.0.0.tgz"
   integrity sha512-8JZt9ElZ5kyTnO94muPxIGS8oyElRJaiJO8EzV6ZSyGQ1Is8xwl4Q45qU5UOg+bGH4AikWziz0iN4sFLWs8PGw==
 
-micromark-util-types@^1.0.0, micromark-util-types@^1.0.1:
-  version "1.1.0"
-  resolved "https://registry.npmjs.org/micromark-util-types/-/micromark-util-types-1.1.0.tgz"
-  integrity sha512-ukRBgie8TIAcacscVHSiddHjO4k/q3pnedmzMQ4iwDcK0FtFCohKOlFbaOL/mPgfnPsL3C1ZyxJa4sbWrBl3jg==
-
 micromark-util-types@^2.0.0:
   version "2.0.0"
   resolved "https://registry.npmjs.org/micromark-util-types/-/micromark-util-types-2.0.0.tgz"
   integrity sha512-oNh6S2WMHWRZrmutsRmDDfkzKtxF+bc2VxLC9dvtrDIRFln627VsFP6fLMgTryGDljgLPjkrzQSDcPrjPyDJ5w==
 
-micromark@^3.0.0:
-  version "3.2.0"
-  resolved "https://registry.npmjs.org/micromark/-/micromark-3.2.0.tgz"
-  integrity sha512-uD66tJj54JLYq0De10AhWycZWGQNUvDI55xPgk2sQM5kn1JYlhbCMTtEeT27+vAhW2FBQxLlOmS3pmA7/2z4aA==
+micromark@^4.0.0:
+  version "4.0.1"
+  resolved "https://registry.npmjs.org/micromark/-/micromark-4.0.1.tgz"
+  integrity sha512-eBPdkcoCNvYcxQOAKAlceo5SNdzZWfF+FcSupREAzdAh9rRmE239CEQAiTwIgblwnoM8zzj35sZ5ZwvSEOF6Kw==
   dependencies:
     "@types/debug" "^4.0.0"
     debug "^4.0.0"
     decode-named-character-reference "^1.0.0"
-    micromark-core-commonmark "^1.0.1"
-    micromark-factory-space "^1.0.0"
-    micromark-util-character "^1.0.0"
-    micromark-util-chunked "^1.0.0"
-    micromark-util-combine-extensions "^1.0.0"
-    micromark-util-decode-numeric-character-reference "^1.0.0"
-    micromark-util-encode "^1.0.0"
-    micromark-util-normalize-identifier "^1.0.0"
-    micromark-util-resolve-all "^1.0.0"
-    micromark-util-sanitize-uri "^1.0.0"
-    micromark-util-subtokenize "^1.0.0"
-    micromark-util-symbol "^1.0.0"
-    micromark-util-types "^1.0.1"
-    uvu "^0.5.0"
+    devlop "^1.0.0"
+    micromark-core-commonmark "^2.0.0"
+    micromark-factory-space "^2.0.0"
+    micromark-util-character "^2.0.0"
+    micromark-util-chunked "^2.0.0"
+    micromark-util-combine-extensions "^2.0.0"
+    micromark-util-decode-numeric-character-reference "^2.0.0"
+    micromark-util-encode "^2.0.0"
+    micromark-util-normalize-identifier "^2.0.0"
+    micromark-util-resolve-all "^2.0.0"
+    micromark-util-sanitize-uri "^2.0.0"
+    micromark-util-subtokenize "^2.0.0"
+    micromark-util-symbol "^2.0.0"
+    micromark-util-types "^2.0.0"
 
-micromark@~2.11.0:
-  version "2.11.4"
-  resolved "https://registry.npmjs.org/micromark/-/micromark-2.11.4.tgz"
-  integrity sha512-+WoovN/ppKolQOFIAajxi7Lu9kInbPxFuTBVEavFcL8eAfVstoc5MocPmqBeAdBOJV00uaVjegzH4+MA0DN/uA==
-  dependencies:
-    debug "^4.0.0"
-    parse-entities "^2.0.0"
-
-micromatch@^4.0.2, micromatch@^4.0.4, micromatch@^4.0.5:
+micromatch@^4.0.2, micromatch@^4.0.4, micromatch@^4.0.5, micromatch@^4.0.8, micromatch@~4.0.8:
   version "4.0.8"
   resolved "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz"
   integrity sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==
@@ -9773,16 +10107,16 @@ mimic-fn@^4.0.0:
   resolved "https://registry.npmjs.org/mimic-fn/-/mimic-fn-4.0.0.tgz"
   integrity sha512-vqiC06CuhBTUdZH+RYl8sFrL096vA45Ok5ISO6sE/Mr1jRbGH4Csnhi8f3wKVl7x8mO4Au7Ir9D3Oyv1VYMFJw==
 
+mimic-function@^5.0.0:
+  version "5.0.1"
+  resolved "https://registry.npmjs.org/mimic-function/-/mimic-function-5.0.1.tgz"
+  integrity sha512-VP79XUPxV2CigYP3jWwAUFSku2aKqBH7uTAapFWCBqutsbmDo96KY5o8uh6U+/YSIn5OxJnXp73beVkpqMIGhA==
+
 mimic-response@^1.0.0:
   version "1.0.1"
   resolved "https://registry.npmjs.org/mimic-response/-/mimic-response-1.0.1.tgz"
   integrity sha512-j5EctnkH7amfV/q5Hgmoal1g2QHFJRraOtmx0JpIqkxhBhI/lJSl1nMpQ45hVarwNETOoWEimndZ4QK0RHxuxQ==
 
-mimic-response@^2.0.0:
-  version "2.1.0"
-  resolved "https://registry.npmjs.org/mimic-response/-/mimic-response-2.1.0.tgz"
-  integrity sha512-wXqjST+SLt7R009ySCglWBCFpjUygmCIfD790/kVbiGmUgfYGuB14PiTd5DwVxSV4NcYHjzMkoj5LjQZwTQLEA==
-
 mimic-response@^3.1.0:
   version "3.1.0"
   resolved "https://registry.npmjs.org/mimic-response/-/mimic-response-3.1.0.tgz"
@@ -9803,37 +10137,60 @@ minimalistic-crypto-utils@^1.0.1:
   resolved "https://registry.npmjs.org/minimalistic-crypto-utils/-/minimalistic-crypto-utils-1.0.1.tgz"
   integrity sha512-JIYlbt6g8i5jKfJ3xz7rF0LXmv2TkDxBLUkiBeZ7bAx4GnnNMr8xFpGnOxn6GhTEHx3SjRrZEoU+j04prX1ktg==
 
-minimatch@^3.0.4, minimatch@^3.0.5, minimatch@^3.1.2:
+minimatch@^10.0.1:
+  version "10.0.1"
+  resolved "https://registry.npmjs.org/minimatch/-/minimatch-10.0.1.tgz"
+  integrity sha512-ethXTt3SGGR+95gudmqJ1eNhRO7eGEGIgYA9vnPatK4/etz2MEVDno5GMCibdMTuBMyElzIlgxMna3K94XDIDQ==
+  dependencies:
+    brace-expansion "^2.0.1"
+
+minimatch@^3.0.4, minimatch@^3.1.2:
   version "3.1.2"
   resolved "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz"
   integrity sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==
   dependencies:
     brace-expansion "^1.1.7"
 
+minimatch@^9.0.3:
+  version "9.0.5"
+  resolved "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz"
+  integrity sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==
+  dependencies:
+    brace-expansion "^2.0.1"
+
+minimatch@^9.0.4:
+  version "9.0.5"
+  resolved "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz"
+  integrity sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==
+  dependencies:
+    brace-expansion "^2.0.1"
+
+minimatch@^9.0.5:
+  version "9.0.5"
+  resolved "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz"
+  integrity sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==
+  dependencies:
+    brace-expansion "^2.0.1"
+
 minimist@^1.2.0, minimist@^1.2.6:
   version "1.2.8"
   resolved "https://registry.npmjs.org/minimist/-/minimist-1.2.8.tgz"
   integrity sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==
 
-minipass@^3.0.0:
-  version "3.3.6"
-  resolved "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz"
-  integrity sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==
-  dependencies:
-    yallist "^4.0.0"
-
-minipass@^5.0.0:
+"minipass@^5.0.0 || ^6.0.2 || ^7.0.0":
   version "5.0.0"
   resolved "https://registry.npmjs.org/minipass/-/minipass-5.0.0.tgz"
   integrity sha512-3FnjYuehv9k6ovOEbyOswadCDPX1piCfhV8ncmYtHOjuPwylVWsghTLo7rabjC3Rx5xD4HDx8Wm1xnMF7S5qFQ==
 
-minizlib@^2.1.1:
-  version "2.1.2"
-  resolved "https://registry.npmjs.org/minizlib/-/minizlib-2.1.2.tgz"
-  integrity sha512-bAxsR8BVfj60DWXHE3u30oHzfl4G7khkSuPW+qvpd7jFRHm7dLxOjUk1EHACJ/hxLY8phGJ0YhYHZo7jil7Qdg==
-  dependencies:
-    minipass "^3.0.0"
-    yallist "^4.0.0"
+minipass@^7.1.2:
+  version "7.1.2"
+  resolved "https://registry.npmjs.org/minipass/-/minipass-7.1.2.tgz"
+  integrity sha512-qOOzS1cBTWYF4BH8fVePDBOO9iptMnGUEZwNc/cMWnTV2nVLZ7VoNWEPHkYczZA0pdoA7dl6e7FL659nX9S2aw==
+
+mitt@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.npmjs.org/mitt/-/mitt-3.0.1.tgz"
+  integrity sha512-vKivATfr97l2/QBCYAkXYDbrIWPM2IIKEl7YPhjCvKlG3kE2gm+uBo6nEXK3M5/Ffh/FLpKExzOQ3JJoJGFKBw==
 
 mkdirp@^0.5.6:
   version "0.5.6"
@@ -9842,11 +10199,6 @@ mkdirp@^0.5.6:
   dependencies:
     minimist "^1.2.6"
 
-mkdirp@^1.0.3:
-  version "1.0.4"
-  resolved "https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz"
-  integrity sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==
-
 mlly@^1.7.2, mlly@^1.7.3:
   version "1.7.3"
   resolved "https://registry.npmjs.org/mlly/-/mlly-1.7.3.tgz"
@@ -9857,12 +10209,12 @@ mlly@^1.7.2, mlly@^1.7.3:
     pkg-types "^1.2.1"
     ufo "^1.5.4"
 
-mri@^1.1.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/mri/-/mri-1.2.0.tgz"
-  integrity sha512-tzzskb3bG8LvYGFF/mDTpq3jpI6Q9wc3LEmBaghu+DdCssd1FakN7Bc0hVNmEyGq1bq3RgfkCb3cmQLpNPOroA==
+"monaco-editor@>= 0.21.0 < 1", "monaco-editor@>= 0.25.0 < 1":
+  version "0.52.2"
+  resolved "https://registry.npmjs.org/monaco-editor/-/monaco-editor-0.52.2.tgz"
+  integrity sha512-GEQWEZmfkOGLdd3XK8ryrfWz3AIP8YymVXiPHEdewrUq7mh0qrKrfHLNCXcbB6sTnMLnOZ3ztSiKcciFUkIJwQ==
 
-ms@2.1.2, ms@^2.1.1:
+ms@^2.1.1, ms@2.1.2:
   version "2.1.2"
   resolved "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz"
   integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==
@@ -9881,26 +10233,21 @@ mz@^2.7.0:
     object-assign "^4.0.1"
     thenify-all "^1.0.0"
 
-nan@^2.17.0:
-  version "2.22.0"
-  resolved "https://registry.npmjs.org/nan/-/nan-2.22.0.tgz"
-  integrity sha512-nbajikzWTMwsW+eSsNm3QwlOs7het9gGJU5dDZzRTQGk03vyBOauxgI4VakDzE0PtsGTmXPsXTbbjVhRwR5mpw==
-
 nanoid@^3.3.6, nanoid@^3.3.7:
   version "3.3.8"
-  resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.8.tgz#b1be3030bee36aaff18bacb375e5cce521684baf"
+  resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.8.tgz"
   integrity sha512-WNLf5Sd8oZxOm+TzppcYk8gVOgP+l58xNy58D0nbUnOxOWRWvlcCV4kUF7ltmI6PsrLl/BgKEyS4mqsGChFN0w==
 
-natural-compare-lite@^1.4.0:
-  version "1.4.0"
-  resolved "https://registry.npmjs.org/natural-compare-lite/-/natural-compare-lite-1.4.0.tgz"
-  integrity sha512-Tj+HTDSJJKaZnfiuw+iaF9skdPpTo2GtEly5JHnWV/hfv2Qj/9RKsGISQtLh2ox3l5EAGw487hnBee0sIJ6v2g==
-
 natural-compare@^1.4.0:
   version "1.4.0"
   resolved "https://registry.npmjs.org/natural-compare/-/natural-compare-1.4.0.tgz"
   integrity sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==
 
+natural-orderby@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/natural-orderby/-/natural-orderby-5.0.0.tgz"
+  integrity sha512-kKHJhxwpR/Okycz4HhQKKlhWe4ASEfPgkSWNmKFHd7+ezuQlxkA5cM3+XkBPvm1gmHen3w53qsYAv+8GwRrBlg==
+
 negotiator@^0.6.3:
   version "0.6.3"
   resolved "https://registry.npmjs.org/negotiator/-/negotiator-0.6.3.tgz"
@@ -9911,7 +10258,7 @@ neo-async@^2.6.2:
   resolved "https://registry.npmjs.org/neo-async/-/neo-async-2.6.2.tgz"
   integrity sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw==
 
-next@^14.2.10:
+"next@^13.5.0 || ^14.0.0 || ^15.0.0", next@^14.2.10:
   version "14.2.17"
   resolved "https://registry.npmjs.org/next/-/next-14.2.17.tgz"
   integrity sha512-hNo/Zy701DDO3nzKkPmsLRlDfNCtb1OJxFUvjGEl04u7SFa3zwC6hqsOUzMajcaEOEV8ey1GjvByvrg0Qr5AiQ==
@@ -9947,12 +10294,10 @@ node-abort-controller@^3.0.1:
   resolved "https://registry.npmjs.org/node-abort-controller/-/node-abort-controller-3.1.1.tgz"
   integrity sha512-AGK2yQKIjRuqnc6VkX2Xj5d+QW8xZ87pa1UK6yA6ouUyuxfHuMP6umE5QK7UmTeOAymo+Zx1Fxiuw9rVx8taHQ==
 
-node-fetch@^2.6.7:
-  version "2.7.0"
-  resolved "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz"
-  integrity sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==
-  dependencies:
-    whatwg-url "^5.0.0"
+node-addon-api@^7.0.0:
+  version "7.1.1"
+  resolved "https://registry.npmjs.org/node-addon-api/-/node-addon-api-7.1.1.tgz"
+  integrity sha512-5m3bsyrjFWE1xf7nz7YXdN4udnVtXK6/Yfgn5qnahL6bCkf2yKt4k3nuTKAtT4r3IG8JNR2ncsIMdZuAzJjHQQ==
 
 node-int64@^0.4.0:
   version "0.4.0"
@@ -9995,13 +10340,6 @@ node-releases@^2.0.18:
   resolved "https://registry.npmjs.org/node-releases/-/node-releases-2.0.18.tgz"
   integrity sha512-d9VeXT4SJ7ZeOqGX6R5EM022wpL+eWPooLI+5UpWn2jCT1aosUQEhQP214x33Wkwx3JQMvIm+tIoVOdodFS40g==
 
-nopt@^5.0.0:
-  version "5.0.0"
-  resolved "https://registry.npmjs.org/nopt/-/nopt-5.0.0.tgz"
-  integrity sha512-Tbj67rffqceeLpcRXrT7vKAN8CwfPeIBgM7E6iBkmKLV7bEMwpGgYLGv0jACUsECaa/vuxP0IjEont6umdMgtQ==
-  dependencies:
-    abbrev "1"
-
 normalize-package-data@^2.5.0:
   version "2.5.0"
   resolved "https://registry.npmjs.org/normalize-package-data/-/normalize-package-data-2.5.0.tgz"
@@ -10046,17 +10384,7 @@ npm-run-path@^5.1.0:
   dependencies:
     path-key "^4.0.0"
 
-npmlog@^5.0.1:
-  version "5.0.1"
-  resolved "https://registry.npmjs.org/npmlog/-/npmlog-5.0.1.tgz"
-  integrity sha512-AqZtDUWOMKs1G/8lwylVjrdYgqA4d9nu8hc+0gzRxlDb1I10+FHBGMXs6aiQHFdCUUlqH99MUMuLfzWDNDtfxw==
-  dependencies:
-    are-we-there-yet "^2.0.0"
-    console-control-strings "^1.1.0"
-    gauge "^3.0.0"
-    set-blocking "^2.0.0"
-
-nth-check@^2.0.1:
+nth-check@^2.0.1, nth-check@^2.1.1:
   version "2.1.1"
   resolved "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz"
   integrity sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==
@@ -10078,10 +10406,10 @@ object-hash@^3.0.0:
   resolved "https://registry.npmjs.org/object-hash/-/object-hash-3.0.0.tgz"
   integrity sha512-RSn9F68PjH9HqtltsSnqYC1XXoWe9Bju5+213R98cNGttag9q9yAOTzdbsqvIa7aNm5WffBZFpWYr2aWrklWAw==
 
-object-inspect@^1.12.3, object-inspect@^1.13.1:
-  version "1.13.1"
-  resolved "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.1.tgz"
-  integrity sha512-5qoj1RUiKOMsCCNLV1CBiPYE10sziTsnmNxkAI/rZhiD63CF7IqdFGC/XzjWjpSgLf0LxXX3bDFIh0E18f6UhQ==
+object-inspect@^1.13.3:
+  version "1.13.3"
+  resolved "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.3.tgz"
+  integrity sha512-kDCGIbxkDSXE3euJZZXzc6to7fCrKHNI/hSRQnRuQ+BWjFNzZwiFF8fj/6o2t2G9/jTj8PSIYTfCLelLZEeRpA==
 
 object-is@^1.1.5:
   version "1.1.5"
@@ -10096,60 +10424,55 @@ object-keys@^1.1.1:
   resolved "https://registry.npmjs.org/object-keys/-/object-keys-1.1.1.tgz"
   integrity sha512-NuAESUOUMrlIXOfHKzD6bpPu3tYt3xvjNdRIQ+FeT0lNb4K8WR70CaDxhuNguS2XG+GjkyMwOzsN5ZktImfhLA==
 
-object.assign@^4.1.3, object.assign@^4.1.4:
-  version "4.1.4"
-  resolved "https://registry.npmjs.org/object.assign/-/object.assign-4.1.4.tgz"
-  integrity sha512-1mxKf0e58bvyjSCtKYY4sRe9itRk3PJpquJOjeIkz885CczcI4IvJJDLPS72oowuSh+pBxUFROpX+TU++hxhZQ==
+object.assign@^4.1.4, object.assign@^4.1.7:
+  version "4.1.7"
+  resolved "https://registry.npmjs.org/object.assign/-/object.assign-4.1.7.tgz"
+  integrity sha512-nK28WOo+QIjBkDduTINE4JkF/UJJKyf2EJxvJKfblDpyg0Q+pkOHNTL0Qwy6NP6FhE/EnzV73BxxqcJaXY9anw==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.1.4"
-    has-symbols "^1.0.3"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    define-properties "^1.2.1"
+    es-object-atoms "^1.0.0"
+    has-symbols "^1.1.0"
     object-keys "^1.1.1"
 
-object.entries@^1.1.6:
-  version "1.1.6"
-  resolved "https://registry.npmjs.org/object.entries/-/object.entries-1.1.6.tgz"
-  integrity sha512-leTPzo4Zvg3pmbQ3rDK69Rl8GQvIqMWubrkxONG9/ojtFE2rD9fjMKfSI5BxW3osRH1m6VdzmqK8oAY9aT4x5w==
+object.entries@^1.1.8:
+  version "1.1.8"
+  resolved "https://registry.npmjs.org/object.entries/-/object.entries-1.1.8.tgz"
+  integrity sha512-cmopxi8VwRIAw/fkijJohSfpef5PdN0pMQJN6VC/ZKvn0LIknWD8KtgY6KlQdEc4tIjcQ3HxSMmnvtzIscdaYQ==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.1.4"
-    es-abstract "^1.20.4"
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-object-atoms "^1.0.0"
 
-object.fromentries@^2.0.6, object.fromentries@^2.0.7:
-  version "2.0.7"
-  resolved "https://registry.npmjs.org/object.fromentries/-/object.fromentries-2.0.7.tgz"
-  integrity sha512-UPbPHML6sL8PI/mOqPwsH4G6iyXcCGzLin8KvEPenOZN5lpCNBZZQ+V62vdjB1mQHrmqGQt5/OJzemUA+KJmEA==
+object.fromentries@^2.0.8:
+  version "2.0.8"
+  resolved "https://registry.npmjs.org/object.fromentries/-/object.fromentries-2.0.8.tgz"
+  integrity sha512-k6E21FzySsSK5a21KRADBd/NGneRegFO5pLHfdQLpRDETUNJueLXs3WCzyQ3tFRDYgbq3KHGXfTbi2bs8WQ6rQ==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.2"
+    es-object-atoms "^1.0.0"
 
-object.groupby@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/object.groupby/-/object.groupby-1.0.1.tgz"
-  integrity sha512-HqaQtqLnp/8Bn4GL16cj+CUYbnpe1bh0TtEaWvybszDG4tgxCJuRpV8VGuvNaI1fAnI4lUJzDG55MXcOH4JZcQ==
+object.groupby@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.npmjs.org/object.groupby/-/object.groupby-1.0.3.tgz"
+  integrity sha512-+Lhy3TQTuzXI5hevh8sBGqbmurHbbIjAi0Z4S63nthVLmLxfbj4T54a4CfZrXIrt9iP4mVAPYMo/v99taj3wjQ==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    get-intrinsic "^1.2.1"
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.2"
 
-object.hasown@^1.1.2:
-  version "1.1.3"
-  resolved "https://registry.npmjs.org/object.hasown/-/object.hasown-1.1.3.tgz"
-  integrity sha512-fFI4VcYpRHvSLXxP7yiZOMAd331cPfd2p7PFDVbgUsYOfCT3tICVqXWngbjr4m49OvsBwUBQ6O2uQoJvy3RexA==
+object.values@^1.1.6, object.values@^1.2.0, object.values@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/object.values/-/object.values-1.2.1.tgz"
+  integrity sha512-gXah6aZrcUxjWg2zR2MwouP2eHlCBzdV4pygudehaKXSGW4v2AsRQUK+lwwXhii6KFZcunEnmSUoYp5CXibxtA==
   dependencies:
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-
-object.values@^1.1.6, object.values@^1.1.7:
-  version "1.1.7"
-  resolved "https://registry.npmjs.org/object.values/-/object.values-1.1.7.tgz"
-  integrity sha512-aU6xnDFYT3x17e/f0IiiwlGPTy2jzMySGfUB4fq6z7CV8l85CWHDk5ErhyhpfDHhrOMwGFhSQkhMGHaIotA6Ng==
-  dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    define-properties "^1.2.1"
+    es-object-atoms "^1.0.0"
 
 objectorarray@^1.0.5:
   version "1.0.5"
@@ -10163,7 +10486,7 @@ once@^1.3.0, once@^1.3.1, once@^1.4.0:
   dependencies:
     wrappy "1"
 
-onetime@^5.1.0, onetime@^5.1.2:
+onetime@^5.1.2:
   version "5.1.2"
   resolved "https://registry.npmjs.org/onetime/-/onetime-5.1.2.tgz"
   integrity sha512-kbpaSSGJTWdAY5KPVeMOKXSrPtr8C8C7wodJbcsd51jRnmD+GZu8Y0VoU6Dm5Z4vWr0Ig/1NKuWRKf7j5aaYSg==
@@ -10177,6 +10500,13 @@ onetime@^6.0.0:
   dependencies:
     mimic-fn "^4.0.0"
 
+onetime@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.npmjs.org/onetime/-/onetime-7.0.0.tgz"
+  integrity sha512-VXJjc87FScF88uafS3JllDgvAm+c/Slfz06lorj2uAY34rlUu0Nt+v8wreiImcrgAjjIHp1rXpTDlLOGw29WwQ==
+  dependencies:
+    mimic-function "^5.0.0"
+
 open@^8.0.4:
   version "8.4.2"
   resolved "https://registry.npmjs.org/open/-/open-8.4.2.tgz"
@@ -10260,29 +10590,27 @@ p-locate@^6.0.0:
   dependencies:
     p-limit "^4.0.0"
 
-p-map@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.npmjs.org/p-map/-/p-map-4.0.0.tgz"
-  integrity sha512-/bjOqmgETBYB5BoEeGVea8dmvHb2m9GLy1E9W43yeyfP6QQCZGFNa+XRceJEuDB6zqr+gKpIAmlLebMpykw/MQ==
-  dependencies:
-    aggregate-error "^3.0.0"
-
 p-try@^2.0.0:
   version "2.2.0"
   resolved "https://registry.npmjs.org/p-try/-/p-try-2.2.0.tgz"
   integrity sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ==
 
-package-manager-detector@^0.2.0:
-  version "0.2.7"
-  resolved "https://registry.npmjs.org/package-manager-detector/-/package-manager-detector-0.2.7.tgz"
-  integrity sha512-g4+387DXDKlZzHkP+9FLt8yKj8+/3tOkPv7DVTJGGRm00RkEWgqbFstX1mXJ4M0VDYhUqsTOiISqNOJnhAu3PQ==
+package-json-from-dist@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/package-json-from-dist/-/package-json-from-dist-1.0.1.tgz"
+  integrity sha512-UEZIS3/by4OC8vL3P2dTXRETpebLI2NiI5vIrjaD/5UtrkFX/tNbwjTSRAGC/+7CAo2pIcBaRgWmcBBHcsaCIw==
+
+package-manager-detector@^0.2.0, package-manager-detector@^0.2.5:
+  version "0.2.8"
+  resolved "https://registry.npmjs.org/package-manager-detector/-/package-manager-detector-0.2.8.tgz"
+  integrity sha512-ts9KSdroZisdvKMWVAVCXiKqnqNfXz4+IbrBG8/BWx/TR5le+jfenvoBuIZ6UWM9nz47W7AbD9qYfAwfWMIwzA==
 
 pako@~1.0.5:
   version "1.0.11"
   resolved "https://registry.npmjs.org/pako/-/pako-1.0.11.tgz"
   integrity sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==
 
-papaparse@^5.3.1:
+papaparse@^5.4.1:
   version "5.4.1"
   resolved "https://registry.npmjs.org/papaparse/-/papaparse-5.4.1.tgz"
   integrity sha512-HipMsgJkZu8br23pW15uvo6sib6wne/4woLZPlFf3rpDyMe9ywEXUsuD7+6K9PRkJlVT51j/sCOYDKGGS3ZJrw==
@@ -10340,6 +10668,19 @@ parse-entities@^4.0.0:
     is-decimal "^2.0.0"
     is-hexadecimal "^2.0.0"
 
+parse-gitignore@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/parse-gitignore/-/parse-gitignore-2.0.0.tgz"
+  integrity sha512-RmVuCHWsfu0QPNW+mraxh/xjQVw/lhUCUru8Zni3Ctq3AoMhpDTq0OVdKS6iesd6Kqb7viCV3isAL43dciOSog==
+
+parse-imports@^2.1.1:
+  version "2.2.1"
+  resolved "https://registry.npmjs.org/parse-imports/-/parse-imports-2.2.1.tgz"
+  integrity sha512-OL/zLggRp8mFhKL0rNORUTR4yBYujK/uU+xZL+/0Rgm2QE4nLO9v8PzEweSJEbMGKmDRjJE4R3IMJlL2di4JeQ==
+  dependencies:
+    es-module-lexer "^1.5.3"
+    slashes "^3.0.12"
+
 parse-json@^5.0.0, parse-json@^5.2.0:
   version "5.2.0"
   resolved "https://registry.npmjs.org/parse-json/-/parse-json-5.2.0.tgz"
@@ -10370,7 +10711,7 @@ path-browserify@^1.0.1:
   resolved "https://registry.npmjs.org/path-browserify/-/path-browserify-1.0.1.tgz"
   integrity sha512-b7uo2UCUOYZcnF/3ID0lulOJi/bafxa1xPe7ZPsammBSpjSWQkjNxlt635YGS2MiR9GjvuXCtz2emr3jbsz98g==
 
-path-data-parser@0.1.0, path-data-parser@^0.1.0:
+path-data-parser@^0.1.0, path-data-parser@0.1.0:
   version "0.1.0"
   resolved "https://registry.npmjs.org/path-data-parser/-/path-data-parser-0.1.0.tgz"
   integrity sha512-NOnmBpt5Y2RWbuv0LMzsayp3lVylAHLPUTut412ZA3l+C4uw4ZVkQbjShYCQ8TCpUMdPapr4YjUqLYD6v68j+w==
@@ -10405,6 +10746,14 @@ path-parse@^1.0.7:
   resolved "https://registry.npmjs.org/path-parse/-/path-parse-1.0.7.tgz"
   integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==
 
+path-scurry@^1.11.1:
+  version "1.11.1"
+  resolved "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz"
+  integrity sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==
+  dependencies:
+    lru-cache "^10.2.0"
+    minipass "^5.0.0 || ^6.0.2 || ^7.0.0"
+
 path-type@^4.0.0:
   version "4.0.0"
   resolved "https://registry.npmjs.org/path-type/-/path-type-4.0.0.tgz"
@@ -10444,26 +10793,37 @@ pdfjs-dist@4.4.168:
     canvas "^2.11.2"
     path2d "^0.2.0"
 
-periscopic@^3.0.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/periscopic/-/periscopic-3.1.0.tgz"
-  integrity sha512-vKiQ8RRtkl9P+r/+oefh25C3fhybptkHKCZSPlcXiJux2tJF55GnEj3BVn4A5gKfq9NWWXXrxkHBwVPUfH0opw==
-  dependencies:
-    "@types/estree" "^1.0.0"
-    estree-walker "^3.0.0"
-    is-reference "^3.0.0"
-
-picocolors@^1.0.0, picocolors@^1.1.0:
+picocolors@^1.0.0, picocolors@^1.0.1, picocolors@^1.1.0, picocolors@^1.1.1:
   version "1.1.1"
   resolved "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz"
   integrity sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==
 
-picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.2.3, picomatch@^2.3.1:
+picomatch@^2.0.4:
   version "2.3.1"
   resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz"
   integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
 
-pidtree@^0.6.0:
+picomatch@^2.2.1:
+  version "2.3.1"
+  resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz"
+  integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
+
+picomatch@^2.2.3:
+  version "2.3.1"
+  resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz"
+  integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
+
+picomatch@^2.3.1:
+  version "2.3.1"
+  resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz"
+  integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
+
+picomatch@^4.0.2:
+  version "4.0.2"
+  resolved "https://registry.npmjs.org/picomatch/-/picomatch-4.0.2.tgz"
+  integrity sha512-M7BAV6Rlcy5u+m6oPhAPFgJTzAioX/6B0DxyvDlo9l8+T3nLKbrczg2WLUyzd45L8RqfUMyGPzekbMvX2Ldkwg==
+
+pidtree@~0.6.0:
   version "0.6.0"
   resolved "https://registry.npmjs.org/pidtree/-/pidtree-0.6.0.tgz"
   integrity sha512-eG2dWTVw5bzqGRztnHExczNxt5VGsE6OwTeCG3fdUf9KBsZzO3R5OIIIzWR+iZA0NtZ+RDVdaoE2dK1cn6jH4g==
@@ -10473,10 +10833,10 @@ pify@^2.3.0:
   resolved "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz"
   integrity sha512-udgsAY+fTnvv7kI7aaxbqwWNb0AHiB0qBO89PZKPkoTmGOgdbrHDKD+0B2X4uTfJ/FT1R09r9gTsjUjNJotuog==
 
-pinyin-pro@^3.23.0:
-  version "3.24.2"
-  resolved "https://registry.npmjs.org/pinyin-pro/-/pinyin-pro-3.24.2.tgz"
-  integrity sha512-5tPyLhxT4CZ9dWqQRqm3X5ADdS18Sb2w0ranNBgr6jCrqO4O8gtfuyqG7Y6+1Mre+0n2VlhKDz+3P5oqSLrkOw==
+pinyin-pro@^3.25.0:
+  version "3.26.0"
+  resolved "https://registry.npmjs.org/pinyin-pro/-/pinyin-pro-3.26.0.tgz"
+  integrity sha512-HcBZZb0pvm0/JkPhZHWA5Hqp2cWHXrrW/WrV+OtaYYM+kf35ffvZppIUuGmyuQ7gDr1JDJKMkbEE+GN0wfMoGg==
 
 pirates@^4.0.1, pirates@^4.0.4:
   version "4.0.5"
@@ -10518,7 +10878,7 @@ pnp-webpack-plugin@^1.7.0:
   dependencies:
     ts-pnp "^1.1.6"
 
-points-on-curve@0.2.0, points-on-curve@^0.2.0:
+points-on-curve@^0.2.0, points-on-curve@0.2.0:
   version "0.2.0"
   resolved "https://registry.npmjs.org/points-on-curve/-/points-on-curve-0.2.0.tgz"
   integrity sha512-0mYKnYYe9ZcqMCWhUjItv/oHjvgEsfKvnUTg8sAtnHr3GVy7rGkXCb6d5cSyqrWqL4k81b9CPg3urd+T7aop3A==
@@ -10547,6 +10907,11 @@ portfinder@^1.0.28:
     debug "^3.2.7"
     mkdirp "^0.5.6"
 
+possible-typed-array-names@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.0.0.tgz"
+  integrity sha512-d7Uw+eZoloe0EHDIYoe+bQ5WXnGMOpmiZFTuMWCwpjzzkL2nTjcKiAk4hh8TjnGye2TwWOk3UXucZ+3rbmBa8Q==
+
 postcss-import@^15.1.0:
   version "15.1.0"
   resolved "https://registry.npmjs.org/postcss-import/-/postcss-import-15.1.0.tgz"
@@ -10563,13 +10928,13 @@ postcss-js@^4.0.1:
   dependencies:
     camelcase-css "^2.0.1"
 
-postcss-load-config@^4.0.1:
-  version "4.0.1"
-  resolved "https://registry.npmjs.org/postcss-load-config/-/postcss-load-config-4.0.1.tgz"
-  integrity sha512-vEJIc8RdiBRu3oRAI0ymerOn+7rPuMvRXslTvZUKZonDHFIczxztIyJ1urxM1x9JXEikvpWWTUUqal5j/8QgvA==
+postcss-load-config@^4.0.2:
+  version "4.0.2"
+  resolved "https://registry.npmjs.org/postcss-load-config/-/postcss-load-config-4.0.2.tgz"
+  integrity sha512-bSVhyJGL00wMVoPUzAVAnbEoWyqRxkjv64tUl427SKnPrENtq6hJwUojroMz2VB+Q1edmi4IfrAPpami5VVgMQ==
   dependencies:
-    lilconfig "^2.0.5"
-    yaml "^2.1.1"
+    lilconfig "^3.0.0"
+    yaml "^2.3.4"
 
 postcss-loader@^8.1.1:
   version "8.1.1"
@@ -10608,14 +10973,22 @@ postcss-modules-values@^4.0.0:
   dependencies:
     icss-utils "^5.0.0"
 
-postcss-nested@^6.0.1:
-  version "6.0.1"
-  resolved "https://registry.npmjs.org/postcss-nested/-/postcss-nested-6.0.1.tgz"
-  integrity sha512-mEp4xPMi5bSWiMbsgoPfcP74lsWLHkQbZc3sY+jWYd65CUwXrUaTp0fmNpa01ZcETKlIgUdFN/MpS2xZtqL9dQ==
+postcss-nested@^6.2.0:
+  version "6.2.0"
+  resolved "https://registry.npmjs.org/postcss-nested/-/postcss-nested-6.2.0.tgz"
+  integrity sha512-HQbt28KulC5AJzG+cZtj9kvKB93CFCdLvog1WFLf1D+xmMvPGlBstkpTEZfK5+AN9hfJocyBFCNiqyS48bpgzQ==
   dependencies:
-    postcss-selector-parser "^6.0.11"
+    postcss-selector-parser "^6.1.1"
 
-postcss-selector-parser@6.0.10, postcss-selector-parser@^6.0.2, postcss-selector-parser@^6.0.4, postcss-selector-parser@^6.0.9:
+postcss-selector-parser@^6.0.15:
+  version "6.1.2"
+  resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.2.tgz"
+  integrity sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg==
+  dependencies:
+    cssesc "^3.0.0"
+    util-deprecate "^1.0.2"
+
+postcss-selector-parser@^6.0.2, postcss-selector-parser@^6.0.4, postcss-selector-parser@6.0.10:
   version "6.0.10"
   resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.10.tgz"
   integrity sha512-IQ7TZdoaqbT+LCpShg46jnZVlhWD2w6iQYAcYXfHARZ7X1t/UGhhceQDs5X0cGqKvYlHNOuv7Oa1xmb0oQuA3w==
@@ -10623,10 +10996,18 @@ postcss-selector-parser@6.0.10, postcss-selector-parser@^6.0.2, postcss-selector
     cssesc "^3.0.0"
     util-deprecate "^1.0.2"
 
-postcss-selector-parser@^6.0.11:
-  version "6.0.13"
-  resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.13.tgz"
-  integrity sha512-EaV1Gl4mUEV4ddhDnv/xtj7sxwrwxdetHdWUGnT4VJQf+4d05v6lHYZr8N573k5Z0BViss7BDhfWtKS3+sfAqQ==
+postcss-selector-parser@^6.1.1:
+  version "6.1.2"
+  resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.2.tgz"
+  integrity sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg==
+  dependencies:
+    cssesc "^3.0.0"
+    util-deprecate "^1.0.2"
+
+postcss-selector-parser@^6.1.2:
+  version "6.1.2"
+  resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.2.tgz"
+  integrity sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg==
   dependencies:
     cssesc "^3.0.0"
     util-deprecate "^1.0.2"
@@ -10636,6 +11017,15 @@ postcss-value-parser@^4.0.0, postcss-value-parser@^4.1.0, postcss-value-parser@^
   resolved "https://registry.npmjs.org/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz"
   integrity sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ==
 
+"postcss@^7.0.0 || ^8.0.1", postcss@^8.0.0, postcss@^8.1.0, postcss@^8.2.14, postcss@^8.4.21, postcss@^8.4.33, postcss@^8.4.38, postcss@^8.4.4, postcss@^8.4.47, postcss@^8.4.48, postcss@>=8.0.9:
+  version "8.4.49"
+  resolved "https://registry.npmjs.org/postcss/-/postcss-8.4.49.tgz"
+  integrity sha512-OCVPnIObs4N29kxTjzLfUryOkvZEq+pf8jTF0lg8E7uETuWHA+v7j3c/xJmiqpX450191LlmZfUKkXxkTry7nA==
+  dependencies:
+    nanoid "^3.3.7"
+    picocolors "^1.1.1"
+    source-map-js "^1.2.1"
+
 postcss@8.4.31:
   version "8.4.31"
   resolved "https://registry.npmjs.org/postcss/-/postcss-8.4.31.tgz"
@@ -10645,15 +11035,6 @@ postcss@8.4.31:
     picocolors "^1.0.0"
     source-map-js "^1.0.2"
 
-postcss@^8.2.14, postcss@^8.4.23, postcss@^8.4.31, postcss@^8.4.33, postcss@^8.4.38:
-  version "8.4.47"
-  resolved "https://registry.npmjs.org/postcss/-/postcss-8.4.47.tgz"
-  integrity sha512-56rxCq7G/XfB4EkXq9Egn5GCqugWvDFjafDOThIdMBsI15iqPqR5r15TfSr1YPYeEI19YeaXMCbY6u88Y76GLQ==
-  dependencies:
-    nanoid "^3.3.7"
-    picocolors "^1.1.0"
-    source-map-js "^1.2.1"
-
 prelude-ls@^1.2.1:
   version "1.2.1"
   resolved "https://registry.npmjs.org/prelude-ls/-/prelude-ls-1.2.1.tgz"
@@ -10676,7 +11057,16 @@ pretty-format@^27.0.2:
     ansi-styles "^5.0.0"
     react-is "^17.0.1"
 
-pretty-format@^29.0.0, pretty-format@^29.7.0:
+pretty-format@^29.0.0:
+  version "29.7.0"
+  resolved "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz"
+  integrity sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==
+  dependencies:
+    "@jest/schemas" "^29.6.3"
+    ansi-styles "^5.0.0"
+    react-is "^18.0.0"
+
+pretty-format@^29.7.0:
   version "29.7.0"
   resolved "https://registry.npmjs.org/pretty-format/-/pretty-format-29.7.0.tgz"
   integrity sha512-Pdlw/oPxN+aXdmM9R00JVC9WVFoCLTKJvDVLgmJ+qAffBMxsV85l/Lu7sNx4zSzPyoL2euImuEwHhOXdEgNFZQ==
@@ -10713,7 +11103,7 @@ prompts@^2.0.1:
     kleur "^3.0.3"
     sisteransi "^1.0.5"
 
-prop-types@^15.0.0, prop-types@^15.5.8, prop-types@^15.8.1:
+prop-types@^15.5.8, prop-types@^15.8.1:
   version "15.8.1"
   resolved "https://registry.npmjs.org/prop-types/-/prop-types-15.8.1.tgz"
   integrity sha512-oj87CgZICdulUohogVAR7AjlC0327U4el4L6eAvOqCeudMDVU0NThNaV+b9Df4dXgSP1gXMTnPdhfe/2qDH5cg==
@@ -10774,15 +11164,15 @@ pure-rand@^6.0.0:
   resolved "https://registry.npmjs.org/pure-rand/-/pure-rand-6.1.0.tgz"
   integrity sha512-bVWawvoZoBYpp6yIoQtQXHZjmz35RSVHnUOTefl8Vcjr8snTPY1wnpSPMWekcFwbxI6gtmT7rSYPFvz71ldiOA==
 
-qrcode.react@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/qrcode.react/-/qrcode.react-3.1.0.tgz"
-  integrity sha512-oyF+Urr3oAMUG/OiOuONL3HXM+53wvuH3mtIWQrYmsXoAq0DkvZp2RYUWFSMFtbdOpuS++9v+WAkzNVkMlNW6Q==
+qrcode.react@^4.1.0:
+  version "4.2.0"
+  resolved "https://registry.npmjs.org/qrcode.react/-/qrcode.react-4.2.0.tgz"
+  integrity sha512-QpgqWi8rD9DsS9EP3z7BT+5lY5SFhsqGjpgW5DY/i3mK4M9DTBNz3ErMi8BWYEfI3L0d8GIbGmcdFAS1uIRGjA==
 
-qs@^6.11.1, qs@^6.12.3:
-  version "6.13.0"
-  resolved "https://registry.npmjs.org/qs/-/qs-6.13.0.tgz"
-  integrity sha512-+38qI9SOr8tfZ4QmJNplMUxqjbe7LKvvZgWdExBOmd+egZTtjLB67Gu0HRX3u/XOq7UU2Nx6nsjvS16Z9uwfpg==
+qs@^6.12.3, qs@^6.13.0:
+  version "6.13.1"
+  resolved "https://registry.npmjs.org/qs/-/qs-6.13.1.tgz"
+  integrity sha512-EJPeIn0CYrGu+hli1xilKAPXODtJ12T0sP63Ijx2/khC2JtuaN3JyNIpvmnkmaEtha9ocbG4A4cMcr+TvqvwQg==
   dependencies:
     side-channel "^1.0.6"
 
@@ -10833,10 +11223,10 @@ range-parser@^1.2.1:
   resolved "https://registry.npmjs.org/range-parser/-/range-parser-1.2.1.tgz"
   integrity sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg==
 
-rc-input@~1.3.5:
-  version "1.3.11"
-  resolved "https://registry.npmjs.org/rc-input/-/rc-input-1.3.11.tgz"
-  integrity sha512-jhH7QP5rILanSHCGSUkdoFE5DEtpv8FIseYhuYkOZzUBeiVAiwM3q26YqZ6xBB0QFEZ/yUAgms4xW4iuub3xFQ==
+rc-input@~1.6.0:
+  version "1.6.4"
+  resolved "https://registry.npmjs.org/rc-input/-/rc-input-1.6.4.tgz"
+  integrity sha512-lBZhfRD4NSAUW0zOKLUeI6GJuXkxeZYi0hr8VcJgJpyTNOvHw1ysrKWAHcEOAAHj7guxgmWYSi6xWrEdfrSAsA==
   dependencies:
     "@babel/runtime" "^7.11.1"
     classnames "^2.2.1"
@@ -10852,14 +11242,14 @@ rc-resize-observer@^1.0.0:
     rc-util "^5.38.0"
     resize-observer-polyfill "^1.5.1"
 
-rc-textarea@^1.5.2:
-  version "1.5.3"
-  resolved "https://registry.npmjs.org/rc-textarea/-/rc-textarea-1.5.3.tgz"
-  integrity sha512-oH682ghHx++stFNYrosPRBfwsypywrTXpaD0/5Z8MPkUOnyOQUaY9ueL9tMu6BP1LfsuYQ1VLpg5OtshViLNgA==
+rc-textarea@^1.8.2:
+  version "1.8.2"
+  resolved "https://registry.npmjs.org/rc-textarea/-/rc-textarea-1.8.2.tgz"
+  integrity sha512-UFAezAqltyR00a8Lf0IPAyTd29Jj9ee8wt8DqXyDMal7r/Cg/nDt3e1OOv3Th4W6mKaZijjgwuPXhAfVNTN8sw==
   dependencies:
     "@babel/runtime" "^7.10.1"
     classnames "^2.2.1"
-    rc-input "~1.3.5"
+    rc-input "~1.6.0"
     rc-resize-observer "^1.0.0"
     rc-util "^5.27.0"
 
@@ -10911,7 +11301,7 @@ react-docgen@^7.0.0:
     resolve "^1.22.1"
     strip-indent "^4.0.0"
 
-"react-dom@^16.8.0 || ^17.0.0 || ^18.0.0", react-dom@~18.2.0:
+"react-dom@^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0", "react-dom@^15.3.0 || ^16.0.0-alpha || ^17.0.0 || ^18.0.0", "react-dom@^16 || ^17 || ^18", "react-dom@^16.13.1 || ^17.0.0 || ^18.0.0", "react-dom@^16.8.0 || ^17.0.0 || ^18.0.0", "react-dom@^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0-beta", "react-dom@^18.0.0 || ^19.0.0", react-dom@^18.2.0, "react-dom@>= 16.3.0", react-dom@>=16.0.0, react-dom@>=16.14.0, react-dom@>=16.3.0, react-dom@>=16.4.0, react-dom@>=16.8.0, react-dom@>=16.8.1, react-dom@>=16.9.0, react-dom@>=17, react-dom@>=17.x, react-dom@>=18.0.0, react-dom@~18.2.0:
   version "18.2.0"
   resolved "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz"
   integrity sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==
@@ -10927,10 +11317,10 @@ react-draggable@4.4.6:
     clsx "^1.1.1"
     prop-types "^15.8.1"
 
-react-easy-crop@^5.0.8:
-  version "5.0.8"
-  resolved "https://registry.npmjs.org/react-easy-crop/-/react-easy-crop-5.0.8.tgz"
-  integrity sha512-KjulxXhR5iM7+ATN2sGCum/IyDxGw7xT0dFoGcqUP+ysaPU5Ka7gnrDa2tUHFHUoMNyPrVZ05QA+uvMgC5ym/g==
+react-easy-crop@^5.1.0:
+  version "5.2.0"
+  resolved "https://registry.npmjs.org/react-easy-crop/-/react-easy-crop-5.2.0.tgz"
+  integrity sha512-gjb7jN+WnwfgpbNUI2jSwyoIxF1sJ0PVSNVgEysAgF1rj8AqR75fqmdvqZ6PFVgEX3rT1G4HJELesiQXr2ZvAg==
   dependencies:
     normalize-wheel "^1.0.1"
     tslib "^2.0.1"
@@ -10942,29 +11332,41 @@ react-error-boundary@^3.1.4:
   dependencies:
     "@babel/runtime" "^7.12.5"
 
-react-error-boundary@^4.0.2:
-  version "4.0.9"
-  resolved "https://registry.npmjs.org/react-error-boundary/-/react-error-boundary-4.0.9.tgz"
-  integrity sha512-f6DcHVdTDZmc9ixmRmuLDZpkdghYR/HKZdUzMLHD58s4cR2C4R6y4ktYztCosM6pyeK4/C8IofwqxgID25W6kw==
+react-error-boundary@^4.1.2:
+  version "4.1.2"
+  resolved "https://registry.npmjs.org/react-error-boundary/-/react-error-boundary-4.1.2.tgz"
+  integrity sha512-GQDxZ5Jd+Aq/qUxbCm1UtzmL/s++V7zKgE8yMktJiCQXCCFZnMZh9ng+6/Ne6PjNSXH0L9CjeOEREfRnq6Duag==
   dependencies:
     "@babel/runtime" "^7.12.5"
 
-react-hook-form@^7.51.4:
-  version "7.51.5"
-  resolved "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.51.5.tgz"
-  integrity sha512-J2ILT5gWx1XUIJRETiA7M19iXHlG74+6O3KApzvqB/w8S5NQR7AbU8HVZrMALdmDgWpRPYiZJl0zx8Z4L2mP6Q==
+react-fast-compare@^3.2.2:
+  version "3.2.2"
+  resolved "https://registry.npmjs.org/react-fast-compare/-/react-fast-compare-3.2.2.tgz"
+  integrity sha512-nsO+KSNgo1SbJqJEYRE9ERzo7YtYbou/OqjSQKxV7jcKox7+usiUVZOAC+XnDOABXggQTno0Y1CpVnuWEc1boQ==
+
+react-headless-pagination@^1.1.6:
+  version "1.1.6"
+  resolved "https://registry.npmjs.org/react-headless-pagination/-/react-headless-pagination-1.1.6.tgz"
+  integrity sha512-t7L/Q4xpyZszw8iC8ALERs/G2644JESmssahUkRp65WFWvw2k9HXVmfI6VbXvTXrqy+a8fbKT6BQ6SgS2ULNOA==
+  dependencies:
+    clsx "^2.1.0"
+
+react-hook-form@^7.0.0, react-hook-form@^7.53.1:
+  version "7.54.2"
+  resolved "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.54.2.tgz"
+  integrity sha512-eHpAUgUjWbZocoQYUHposymRb4ZP6d0uwUnooL2uOybA9/3tPUvoAKqEWK1WaSiTxxOfTpffNZP7QwlnM3/gEg==
 
 react-hotkeys-hook@^4.6.1:
   version "4.6.1"
   resolved "https://registry.npmjs.org/react-hotkeys-hook/-/react-hotkeys-hook-4.6.1.tgz"
   integrity sha512-XlZpbKUj9tkfgPgT9gA+1p7Ey6vFIZHttUjPqpTdyT5nqQ8mHL7elxvSbaC+dpSiHUSmr21Ya1mDxBZG3aje4Q==
 
-react-i18next@^12.2.0:
-  version "12.3.1"
-  resolved "https://registry.npmjs.org/react-i18next/-/react-i18next-12.3.1.tgz"
-  integrity sha512-5v8E2XjZDFzK7K87eSwC7AJcAkcLt5xYZ4+yTPDAW1i7C93oOY1dnr4BaQM7un4Hm+GmghuiPvevWwlca5PwDA==
+react-i18next@^15.1.0:
+  version "15.2.0"
+  resolved "https://registry.npmjs.org/react-i18next/-/react-i18next-15.2.0.tgz"
+  integrity sha512-iJNc8111EaDtVTVMKigvBtPHyrJV+KblWG73cUxqp+WmJCcwkzhWNFXmkAD5pwP2Z4woeDj/oXDdbjDsb3Gutg==
   dependencies:
-    "@babel/runtime" "^7.20.6"
+    "@babel/runtime" "^7.25.0"
     html-parse-stringify "^3.0.1"
 
 react-infinite-scroll-component@^6.1.0:
@@ -10994,39 +11396,34 @@ react-is@^18.2.0:
   resolved "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz"
   integrity sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w==
 
-react-markdown@^8.0.6:
-  version "8.0.7"
-  resolved "https://registry.npmjs.org/react-markdown/-/react-markdown-8.0.7.tgz"
-  integrity sha512-bvWbzG4MtOU62XqBx3Xx+zB2raaFFsq4mYiAzfjXJMEz2sixgeAfraA3tvzULF02ZdOMUOKTBFFaZJDDrq+BJQ==
+react-markdown@^9.0.1:
+  version "9.0.1"
+  resolved "https://registry.npmjs.org/react-markdown/-/react-markdown-9.0.1.tgz"
+  integrity sha512-186Gw/vF1uRkydbsOIkcGXw7aHq0sZOCRFFjGrr7b9+nVZg4UfA4enXCaxm4fUzecU38sWfrNDitGhshuU7rdg==
   dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/prop-types" "^15.0.0"
-    "@types/unist" "^2.0.0"
-    comma-separated-tokens "^2.0.0"
-    hast-util-whitespace "^2.0.0"
-    prop-types "^15.0.0"
-    property-information "^6.0.0"
-    react-is "^18.0.0"
-    remark-parse "^10.0.0"
-    remark-rehype "^10.0.0"
-    space-separated-tokens "^2.0.0"
-    style-to-object "^0.4.0"
-    unified "^10.0.0"
-    unist-util-visit "^4.0.0"
-    vfile "^5.0.0"
+    "@types/hast" "^3.0.0"
+    devlop "^1.0.0"
+    hast-util-to-jsx-runtime "^2.0.0"
+    html-url-attributes "^3.0.0"
+    mdast-util-to-hast "^13.0.0"
+    remark-parse "^11.0.0"
+    remark-rehype "^11.0.0"
+    unified "^11.0.0"
+    unist-util-visit "^5.0.0"
+    vfile "^6.0.0"
 
-react-multi-email@^1.0.14:
-  version "1.0.16"
-  resolved "https://registry.npmjs.org/react-multi-email/-/react-multi-email-1.0.16.tgz"
-  integrity sha512-dgg4TY3P5FWz6c4ghgxH1bjZOgYL3S/HN+EUNe6dqHbLMVzeyud1ztDUlqvft4NX1sUxKx2IF2zDq1yAJQA5yQ==
+react-multi-email@^1.0.25:
+  version "1.0.25"
+  resolved "https://registry.npmjs.org/react-multi-email/-/react-multi-email-1.0.25.tgz"
+  integrity sha512-Wmv28FvIk4nWgdpHzlIPonY4iSs7bPV35+fAiWYzSBhTo+vhXfglEhjY1WnjHQINW/Pibu2xlb/q1heVuytQHQ==
 
-react-papaparse@^4.1.0:
-  version "4.1.0"
-  resolved "https://registry.npmjs.org/react-papaparse/-/react-papaparse-4.1.0.tgz"
-  integrity sha512-sGJqK+OE2rVVQPxQUCCDW2prLIglv9kTdizhNe2awXvKo0gLShmhpRN3BwA+ujw5M2gSJ/KGNEwtgII0OsLgkg==
+react-papaparse@^4.4.0:
+  version "4.4.0"
+  resolved "https://registry.npmjs.org/react-papaparse/-/react-papaparse-4.4.0.tgz"
+  integrity sha512-xTEwHZYJ+1dh9mQDQjjwJXmWyX20DdZ52u+ddw75V+Xm5qsjXSvWmC7c8K82vRwMjKAOH2S9uFyGpHEyEztkUQ==
   dependencies:
-    "@types/papaparse" "^5.3.1"
-    papaparse "^5.3.1"
+    "@types/papaparse" "^5.3.9"
+    papaparse "^5.4.1"
 
 react-pdf-highlighter@^8.0.0-rc.0:
   version "8.0.0-rc.0"
@@ -11037,7 +11434,7 @@ react-pdf-highlighter@^8.0.0-rc.0:
     react-rnd "^10.4.11"
     ts-debounce "^4.0.0"
 
-react-refresh@^0.14.0:
+react-refresh@^0.14.0, "react-refresh@>=0.10.0 <1.0.0":
   version "0.14.2"
   resolved "https://registry.npmjs.org/react-refresh/-/react-refresh-0.14.2.tgz"
   integrity sha512-jCvmsr+1IUSMUyzOkRcvnVbX3ZYC6g9TDrDbFuFmRDq7PD4yaGbLKNQL6k2jnArV8hjYxh7hVhAZB6s9HDGpZA==
@@ -11051,10 +11448,10 @@ react-rnd@^10.4.11:
     react-draggable "4.4.6"
     tslib "2.6.2"
 
-react-slider@^2.0.4:
-  version "2.0.5"
-  resolved "https://registry.npmjs.org/react-slider/-/react-slider-2.0.5.tgz"
-  integrity sha512-MU5gaK1yYCKnbDDN3CMiVcgkKZwMvdqK2xUEW7fFU37NAzRgS1FZbF9N7vP08E3XXNVhiuZnwVzUa3PYQAZIMg==
+react-slider@^2.0.6:
+  version "2.0.6"
+  resolved "https://registry.npmjs.org/react-slider/-/react-slider-2.0.6.tgz"
+  integrity sha512-gJxG1HwmuMTJ+oWIRCmVWvgwotNCbByTwRkFZC6U4MBsHqJBmxwbYRJUmxy4Tke1ef8r9jfXjgkmY/uHOCEvbA==
   dependencies:
     prop-types "^15.8.1"
 
@@ -11066,13 +11463,14 @@ react-sortablejs@^6.1.4:
     classnames "2.3.1"
     tiny-invariant "1.2.0"
 
-react-syntax-highlighter@^15.5.0:
-  version "15.5.0"
-  resolved "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.5.0.tgz"
-  integrity sha512-+zq2myprEnQmH5yw6Gqc8lD55QHnpKaU8TOcFeC/Lg/MQSs8UknEA0JC4nTZGFAXC2J2Hyj/ijJ7NlabyPi2gg==
+react-syntax-highlighter@^15.6.1:
+  version "15.6.1"
+  resolved "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.6.1.tgz"
+  integrity sha512-OqJ2/vL7lEeV5zTJyG7kmARppUjiB9h9udl4qHQjjgEos66z00Ia0OckwYfRxCSFrW8RJIBnsBwQsHZbVPspqg==
   dependencies:
     "@babel/runtime" "^7.3.1"
     highlight.js "^10.4.1"
+    highlightjs-vue "^1.0.0"
     lowlight "^1.17.0"
     prismjs "^1.27.0"
     refractor "^3.6.0"
@@ -11090,15 +11488,15 @@ react-window-infinite-loader@^1.0.9:
   resolved "https://registry.npmjs.org/react-window-infinite-loader/-/react-window-infinite-loader-1.0.9.tgz"
   integrity sha512-5Hg89IdU4Vrp0RT8kZYKeTIxWZYhNkVXeI1HbKo01Vm/Z7qztDvXljwx16sMzsa9yapRJQW3ODZfMUw38SOWHw==
 
-react-window@^1.8.9:
-  version "1.8.9"
-  resolved "https://registry.npmjs.org/react-window/-/react-window-1.8.9.tgz"
-  integrity sha512-+Eqx/fj1Aa5WnhRfj9dJg4VYATGwIUP2ItwItiJ6zboKWA6EX3lYDAXfGF2hyNqplEprhbtjbipiADEcwQ823Q==
+react-window@^1.8.10:
+  version "1.8.11"
+  resolved "https://registry.npmjs.org/react-window/-/react-window-1.8.11.tgz"
+  integrity sha512-+SRbUVT2scadgFSWx+R1P754xHPEqvcfSfVX10QYg6POOz+WNgkN48pS+BtZNIMGiL1HYrSEiCkwsMS15QogEQ==
   dependencies:
     "@babel/runtime" "^7.0.0"
     memoize-one ">=3.1.1 <6"
 
-"react@^16.8.0 || ^17.0.0 || ^18.0.0", react@~18.2.0:
+"react@^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0", "react@^15.0.0 || >=16.0.0", "react@^15.3.0 || ^16.0.0-alpha || ^17.0.0 || ^18.0.0", "react@^16 || ^17 || ^18", "react@^16.11.0 || ^17.0.0 || ^18.0.0", "react@^16.13.1 || ^17.0.0 || ^18.0.0", "react@^16.3.0 || ^17.0.0 || ^18.0.0", "react@^16.3.0 || ^17.0.1 || ^18.0.0", "react@^16.8.0 || ^17 || ^18 || ^19", "react@^16.8.0 || ^17.0.0 || ^18.0.0", "react@^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0", "react@^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0-beta", "react@^18 || ^19", "react@^18.0.0 || ^19.0.0", react@^18.2.0, "react@>= 0.14.0", "react@>= 16", "react@>= 16.3.0", "react@>= 16.8.0", "react@>= 16.8.0 || 17.x.x || ^18.0.0-0", "react@>= 16.8.0 || 17.x.x || ^18.0.0-0 || ^19.0.0-0", react@>=16, react@>=16.0.0, react@>=16.13.1, react@>=16.14.0, react@>=16.3.0, react@>=16.4.0, react@>=16.8, react@>=16.8.0, react@>=16.8.1, react@>=16.9.0, react@>=17, react@>=17.x, react@>=18, react@>=18.0.0, react@>=18.2.0, react@~18.2.0, "react@15.x || 16.x || 17.x || 18.x":
   version "18.2.0"
   resolved "https://registry.npmjs.org/react/-/react-18.2.0.tgz"
   integrity sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==
@@ -11156,7 +11554,16 @@ readable-stream@^2.3.8:
     string_decoder "~1.1.1"
     util-deprecate "~1.0.1"
 
-readable-stream@^3.5.0, readable-stream@^3.6.0:
+readable-stream@^3.5.0:
+  version "3.6.2"
+  resolved "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz"
+  integrity sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==
+  dependencies:
+    inherits "^2.0.3"
+    string_decoder "^1.1.1"
+    util-deprecate "^1.0.1"
+
+readable-stream@^3.6.0:
   version "3.6.2"
   resolved "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz"
   integrity sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==
@@ -11176,6 +11583,11 @@ readable-stream@^4.0.0:
     process "^0.11.10"
     string_decoder "^1.3.0"
 
+readdirp@^4.0.1:
+  version "4.0.2"
+  resolved "https://registry.npmjs.org/readdirp/-/readdirp-4.0.2.tgz"
+  integrity sha512-yDMz9g+VaZkqBYS/ozoBJwaBhTbZo3UNYQHNRw1D3UFQB8oHB4uS/tAODO+ZLjGWmUbKnIlOWO+aaIiAxrUWHA==
+
 readdirp@~3.6.0:
   version "3.6.0"
   resolved "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz"
@@ -11194,6 +11606,46 @@ recast@^0.23.5:
     tiny-invariant "^1.3.3"
     tslib "^2.0.1"
 
+recma-build-jsx@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/recma-build-jsx/-/recma-build-jsx-1.0.0.tgz"
+  integrity sha512-8GtdyqaBcDfva+GUKDr3nev3VpKAhup1+RvkMvUxURHpW7QyIvk9F5wz7Vzo06CEMSilw6uArgRqhpiUcWp8ew==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    estree-util-build-jsx "^3.0.0"
+    vfile "^6.0.0"
+
+recma-jsx@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/recma-jsx/-/recma-jsx-1.0.0.tgz"
+  integrity sha512-5vwkv65qWwYxg+Atz95acp8DMu1JDSqdGkA2Of1j6rCreyFUE/gp15fC8MnGEuG1W68UKjM6x6+YTWIh7hZM/Q==
+  dependencies:
+    acorn-jsx "^5.0.0"
+    estree-util-to-js "^2.0.0"
+    recma-parse "^1.0.0"
+    recma-stringify "^1.0.0"
+    unified "^11.0.0"
+
+recma-parse@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/recma-parse/-/recma-parse-1.0.0.tgz"
+  integrity sha512-OYLsIGBB5Y5wjnSnQW6t3Xg7q3fQ7FWbw/vcXtORTnyaSFscOtABg+7Pnz6YZ6c27fG1/aN8CjfwoUEUIdwqWQ==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    esast-util-from-js "^2.0.0"
+    unified "^11.0.0"
+    vfile "^6.0.0"
+
+recma-stringify@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/recma-stringify/-/recma-stringify-1.0.0.tgz"
+  integrity sha512-cjwII1MdIIVloKvC9ErQ+OgAtwHBmcZ0Bg4ciz78FtbT8In39aAYbaA7zvxQ61xVMSPE8WxhLwLbhif4Js2C+g==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    estree-util-to-js "^2.0.0"
+    unified "^11.0.0"
+    vfile "^6.0.0"
+
 recordrtc@^5.6.2:
   version "5.6.2"
   resolved "https://registry.npmjs.org/recordrtc/-/recordrtc-5.6.2.tgz"
@@ -11207,17 +11659,26 @@ redent@^3.0.0:
     indent-string "^4.0.0"
     strip-indent "^3.0.0"
 
-reflect.getprototypeof@^1.0.4:
-  version "1.0.4"
-  resolved "https://registry.npmjs.org/reflect.getprototypeof/-/reflect.getprototypeof-1.0.4.tgz"
-  integrity sha512-ECkTw8TmJwW60lOTR+ZkODISW6RQ8+2CL3COqtiJKLd6MmB45hN51HprHFziKLGkAuTGQhBb91V8cy+KHlaCjw==
+refa@^0.12.0, refa@^0.12.1:
+  version "0.12.1"
+  resolved "https://registry.npmjs.org/refa/-/refa-0.12.1.tgz"
+  integrity sha512-J8rn6v4DBb2nnFqkqwy6/NnTYMcgLA+sLr0iIO41qpv0n+ngb7ksag2tMRl0inb1bbO/esUwzW1vbJi7K0sI0g==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    get-intrinsic "^1.2.1"
-    globalthis "^1.0.3"
-    which-builtin-type "^1.1.3"
+    "@eslint-community/regexpp" "^4.8.0"
+
+reflect.getprototypeof@^1.0.6, reflect.getprototypeof@^1.0.8, reflect.getprototypeof@^1.0.9:
+  version "1.0.9"
+  resolved "https://registry.npmjs.org/reflect.getprototypeof/-/reflect.getprototypeof-1.0.9.tgz"
+  integrity sha512-r0Ay04Snci87djAsI4U+WNRcSw5S4pOH7qFjd/veA5gC7TbqESR3tcj28ia95L/fYUDw11JKP7uqUKUAfVvV5Q==
+  dependencies:
+    call-bind "^1.0.8"
+    define-properties "^1.2.1"
+    dunder-proto "^1.0.1"
+    es-abstract "^1.23.6"
+    es-errors "^1.3.0"
+    get-intrinsic "^1.2.6"
+    gopd "^1.2.0"
+    which-builtin-type "^1.2.1"
 
 refractor@^3.6.0:
   version "3.6.0"
@@ -11257,24 +11718,28 @@ regex-parser@^2.2.11:
   resolved "https://registry.npmjs.org/regex-parser/-/regex-parser-2.3.0.tgz"
   integrity sha512-TVILVSz2jY5D47F4mA4MppkBrafEaiUWJO/TcZHEIuI13AqoZMkK1WMA4Om1YkYbTx+9Ki1/tSUXbceyr9saRg==
 
-regexp-tree@^0.1.24, regexp-tree@~0.1.1:
+regexp-ast-analysis@^0.7.0, regexp-ast-analysis@^0.7.1:
+  version "0.7.1"
+  resolved "https://registry.npmjs.org/regexp-ast-analysis/-/regexp-ast-analysis-0.7.1.tgz"
+  integrity sha512-sZuz1dYW/ZsfG17WSAG7eS85r5a0dDsvg+7BiiYR5o6lKCAtUrEwdmRmaGF6rwVj3LcmAeYkOWKEPlbPzN3Y3A==
+  dependencies:
+    "@eslint-community/regexpp" "^4.8.0"
+    refa "^0.12.1"
+
+regexp-tree@^0.1.27:
   version "0.1.27"
   resolved "https://registry.npmjs.org/regexp-tree/-/regexp-tree-0.1.27.tgz"
   integrity sha512-iETxpjK6YoRWJG5o6hXLwvjYAoW+FEZn9os0PD/b6AP6xQwsa/Y7lCVgIixBbUPMfhu+i2LtdeAqVTgGlQarfA==
 
-regexp.prototype.flags@^1.5.0, regexp.prototype.flags@^1.5.1:
-  version "1.5.1"
-  resolved "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.5.1.tgz"
-  integrity sha512-sy6TXMN+hnP/wMy+ISxg3krXx7BAtWVO4UouuCN/ziM9UEne0euamVNafDfvC83bRNr95y0V5iijeDQFUNpvrg==
+regexp.prototype.flags@^1.5.3:
+  version "1.5.3"
+  resolved "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.5.3.tgz"
+  integrity sha512-vqlC04+RQoFalODCbCumG2xIOvapzVMHwsyIGM/SIE8fRhFFsXeH8/QQ+s0T0kDAhKc4k30s73/0ydkHQz6HlQ==
   dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    set-function-name "^2.0.0"
-
-regexpp@^3.0.0:
-  version "3.2.0"
-  resolved "https://registry.npmjs.org/regexpp/-/regexpp-3.2.0.tgz"
-  integrity sha512-pq2bWo9mVD43nbts2wGv17XLiNLya+GklZ8kaDLV2Z08gDCsGpnKn9BFMepvWuHCbyVvY7J5o5+BVvoQbmlJLg==
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-errors "^1.3.0"
+    set-function-name "^2.0.2"
 
 regexpu-core@^6.1.1:
   version "6.1.1"
@@ -11293,6 +11758,13 @@ regjsgen@^0.8.0:
   resolved "https://registry.npmjs.org/regjsgen/-/regjsgen-0.8.0.tgz"
   integrity sha512-RvwtGe3d7LvWiDQXeQw8p5asZUmfU1G/l6WbUXeHta7Y2PEIvBTwH6E2EfmYUK8pxcxEdEmaomqyp0vZZ7C+3Q==
 
+regjsparser@^0.10.0:
+  version "0.10.0"
+  resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.10.0.tgz"
+  integrity sha512-qx+xQGZVsy55CH0a1hiVwHmqjLryfh7wQyF5HO07XJ9f7dQMY/gPQHhlyDkIzJKC+x2fUCpCcUODUUUFrm7SHA==
+  dependencies:
+    jsesc "~0.5.0"
+
 regjsparser@^0.11.0:
   version "0.11.2"
   resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.11.2.tgz"
@@ -11300,24 +11772,18 @@ regjsparser@^0.11.0:
   dependencies:
     jsesc "~3.0.2"
 
-regjsparser@^0.9.1:
-  version "0.9.1"
-  resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.9.1.tgz"
-  integrity sha512-dQUtn90WanSNl+7mQKcXAgZxvUe7Z0SqXlgzv0za4LwiUhyzBC58yQO3liFoUgu8GiJVInAhJjkj1N0EtQ5nkQ==
+rehype-katex@^7.0.1:
+  version "7.0.1"
+  resolved "https://registry.npmjs.org/rehype-katex/-/rehype-katex-7.0.1.tgz"
+  integrity sha512-OiM2wrZ/wuhKkigASodFoo8wimG3H12LWQaH8qSPVJn9apWKFSH3YOCtbKpBorTVw/eI7cuT21XBbvwEswbIOA==
   dependencies:
-    jsesc "~0.5.0"
-
-rehype-katex@^6.0.2:
-  version "6.0.3"
-  resolved "https://registry.npmjs.org/rehype-katex/-/rehype-katex-6.0.3.tgz"
-  integrity sha512-ByZlRwRUcWegNbF70CVRm2h/7xy7jQ3R9LaY4VVSvjnoVWwWVhNL60DiZsBpC5tSzYQOCvDbzncIpIjPZWodZA==
-  dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/katex" "^0.14.0"
-    hast-util-from-html-isomorphic "^1.0.0"
-    hast-util-to-text "^3.1.0"
+    "@types/hast" "^3.0.0"
+    "@types/katex" "^0.16.0"
+    hast-util-from-html-isomorphic "^2.0.0"
+    hast-util-to-text "^4.0.0"
     katex "^0.16.0"
-    unist-util-visit "^4.0.0"
+    unist-util-visit-parents "^6.0.0"
+    vfile "^6.0.0"
 
 rehype-raw@^7.0.0:
   version "7.0.0"
@@ -11328,66 +11794,88 @@ rehype-raw@^7.0.0:
     hast-util-raw "^9.0.0"
     vfile "^6.0.0"
 
+rehype-recma@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/rehype-recma/-/rehype-recma-1.0.0.tgz"
+  integrity sha512-lqA4rGUf1JmacCNWWZx0Wv1dHqMwxzsDWYMTowuplHF3xH0N/MmrZ/G3BDZnzAkRmxDadujCjaKM2hqYdCBOGw==
+  dependencies:
+    "@types/estree" "^1.0.0"
+    "@types/hast" "^3.0.0"
+    hast-util-to-estree "^3.0.0"
+
 relateurl@^0.2.7:
   version "0.2.7"
   resolved "https://registry.npmjs.org/relateurl/-/relateurl-0.2.7.tgz"
   integrity sha512-G08Dxvm4iDN3MLM0EsP62EDV9IuhXPR6blNz6Utcp7zyV3tr4HVNINt6MpaRWbxoOHT3Q7YN2P+jaHX8vUbgog==
 
-remark-breaks@^3.0.2:
-  version "3.0.3"
-  resolved "https://registry.npmjs.org/remark-breaks/-/remark-breaks-3.0.3.tgz"
-  integrity sha512-C7VkvcUp1TPUc2eAYzsPdaUh8Xj4FSbQnYA5A9f80diApLZscTDeG7efiWP65W8hV2sEy3JuGVU0i6qr5D8Hug==
+remark-breaks@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.npmjs.org/remark-breaks/-/remark-breaks-4.0.0.tgz"
+  integrity sha512-IjEjJOkH4FuJvHZVIW0QCDWxcG96kCq7An/KVH2NfJe6rKZU2AsHeB3OEjPNRxi4QC34Xdx7I2KGYn6IpT7gxQ==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-newline-to-break "^1.0.0"
-    unified "^10.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-newline-to-break "^2.0.0"
+    unified "^11.0.0"
 
-remark-gfm@^3.0.1:
-  version "3.0.1"
-  resolved "https://registry.npmjs.org/remark-gfm/-/remark-gfm-3.0.1.tgz"
-  integrity sha512-lEFDoi2PICJyNrACFOfDD3JlLkuSbOa5Wd8EPt06HUdptv8Gn0bxYTdbU/XXQ3swAPkEaGxxPN9cbnMHvVu1Ig==
+remark-gfm@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.npmjs.org/remark-gfm/-/remark-gfm-4.0.0.tgz"
+  integrity sha512-U92vJgBPkbw4Zfu/IiW2oTZLSL3Zpv+uI7My2eq8JxKgqraFdU8YUGicEJCEgSbeaG+QDFqIcwwfMTOEelPxuA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-gfm "^2.0.0"
-    micromark-extension-gfm "^2.0.0"
-    unified "^10.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-gfm "^3.0.0"
+    micromark-extension-gfm "^3.0.0"
+    remark-parse "^11.0.0"
+    remark-stringify "^11.0.0"
+    unified "^11.0.0"
 
-remark-math@^5.1.1:
-  version "5.1.1"
-  resolved "https://registry.npmjs.org/remark-math/-/remark-math-5.1.1.tgz"
-  integrity sha512-cE5T2R/xLVtfFI4cCePtiRn+e6jKMtFDR3P8V3qpv8wpKjwvHoBA4eJzvX+nVrnlNy0911bdGmuspCSwetfYHw==
+remark-math@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.npmjs.org/remark-math/-/remark-math-6.0.0.tgz"
+  integrity sha512-MMqgnP74Igy+S3WwnhQ7kqGlEerTETXMvJhrUzDikVZ2/uogJCb+WHUg97hK9/jcfc0dkD73s3LN8zU49cTEtA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-math "^2.0.0"
-    micromark-extension-math "^2.0.0"
-    unified "^10.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-math "^3.0.0"
+    micromark-extension-math "^3.0.0"
+    unified "^11.0.0"
 
-remark-mdx@^2.0.0:
-  version "2.3.0"
-  resolved "https://registry.npmjs.org/remark-mdx/-/remark-mdx-2.3.0.tgz"
-  integrity sha512-g53hMkpM0I98MU266IzDFMrTD980gNF3BJnkyFcmN+dD873mQeD5rdMO3Y2X+x8umQfbSE0PcoEDl7ledSA+2g==
+remark-mdx@^3.0.0:
+  version "3.1.0"
+  resolved "https://registry.npmjs.org/remark-mdx/-/remark-mdx-3.1.0.tgz"
+  integrity sha512-Ngl/H3YXyBV9RcRNdlYsZujAmhsxwzxpDzpDEhFBVAGthS4GDgnctpDjgFl/ULx5UEDzqtW1cyBSNKqYYrqLBA==
   dependencies:
-    mdast-util-mdx "^2.0.0"
-    micromark-extension-mdxjs "^1.0.0"
+    mdast-util-mdx "^3.0.0"
+    micromark-extension-mdxjs "^3.0.0"
 
-remark-parse@^10.0.0:
-  version "10.0.2"
-  resolved "https://registry.npmjs.org/remark-parse/-/remark-parse-10.0.2.tgz"
-  integrity sha512-3ydxgHa/ZQzG8LvC7jTXccARYDcRld3VfcgIIFs7bI6vbRSxJJmzgLEIIoYKyrfhaY+ujuWaf/PJiMZXoiCXgw==
+remark-parse@^11.0.0:
+  version "11.0.0"
+  resolved "https://registry.npmjs.org/remark-parse/-/remark-parse-11.0.0.tgz"
+  integrity sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA==
   dependencies:
-    "@types/mdast" "^3.0.0"
-    mdast-util-from-markdown "^1.0.0"
-    unified "^10.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-from-markdown "^2.0.0"
+    micromark-util-types "^2.0.0"
+    unified "^11.0.0"
 
-remark-rehype@^10.0.0:
-  version "10.1.0"
-  resolved "https://registry.npmjs.org/remark-rehype/-/remark-rehype-10.1.0.tgz"
-  integrity sha512-EFmR5zppdBp0WQeDVZ/b66CWJipB2q2VLNFMabzDSGR66Z2fQii83G5gTBbgGEnEEA0QRussvrFHxk1HWGJskw==
+remark-rehype@^11.0.0:
+  version "11.1.1"
+  resolved "https://registry.npmjs.org/remark-rehype/-/remark-rehype-11.1.1.tgz"
+  integrity sha512-g/osARvjkBXb6Wo0XvAeXQohVta8i84ACbenPpoSsxTOQH/Ae0/RGP4WZgnMH5pMLpsj4FG7OHmcIcXxpza8eQ==
   dependencies:
-    "@types/hast" "^2.0.0"
-    "@types/mdast" "^3.0.0"
-    mdast-util-to-hast "^12.1.0"
-    unified "^10.0.0"
+    "@types/hast" "^3.0.0"
+    "@types/mdast" "^4.0.0"
+    mdast-util-to-hast "^13.0.0"
+    unified "^11.0.0"
+    vfile "^6.0.0"
+
+remark-stringify@^11.0.0:
+  version "11.0.0"
+  resolved "https://registry.npmjs.org/remark-stringify/-/remark-stringify-11.0.0.tgz"
+  integrity sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw==
+  dependencies:
+    "@types/mdast" "^4.0.0"
+    mdast-util-to-markdown "^2.0.0"
+    unified "^11.0.0"
 
 renderkid@^3.0.0:
   version "3.0.0"
@@ -11410,11 +11898,6 @@ require-from-string@^2.0.2:
   resolved "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz"
   integrity sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==
 
-requireindex@^1.2.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/requireindex/-/requireindex-1.2.0.tgz"
-  integrity sha512-L9jEkOi3ASd9PYit2cwRfyppc9NoABujTP8/5gFcbERmo5jUoAKovIC3fsF17pkTnGsrByysqX+Kxd2OTNI1ww==
-
 requires-port@^1.0.0:
   version "1.0.0"
   resolved "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz"
@@ -11468,7 +11951,7 @@ resolve.exports@^2.0.0:
   resolved "https://registry.npmjs.org/resolve.exports/-/resolve.exports-2.0.2.tgz"
   integrity sha512-X2UW6Nw3n/aMgDVy+0rSqgHlv39WZAlZrXCdnbyEiKm17DSqHX4MmQMaST3FbeWR5FTuRcUwYAziZajji0Y7mg==
 
-resolve@^1.1.7, resolve@^1.10.0, resolve@^1.14.2, resolve@^1.20.0, resolve@^1.22.1, resolve@^1.22.2, resolve@^1.22.4, resolve@^1.22.8:
+resolve@^1.1.7, resolve@^1.10.0, resolve@^1.14.2, resolve@^1.20.0, resolve@^1.22.1, resolve@^1.22.4, resolve@^1.22.8:
   version "1.22.8"
   resolved "https://registry.npmjs.org/resolve/-/resolve-1.22.8.tgz"
   integrity sha512-oKWePCxqpd6FlLvGV1VU0x7bkPmmCNolxzjMf4NczoDnQcIWrAF+cPtZn5i6n+RfD2d9i0tzpKnG6Yk168yIyw==
@@ -11477,7 +11960,7 @@ resolve@^1.1.7, resolve@^1.10.0, resolve@^1.14.2, resolve@^1.20.0, resolve@^1.22
     path-parse "^1.0.7"
     supports-preserve-symlinks-flag "^1.0.0"
 
-resolve@^2.0.0-next.4:
+resolve@^2.0.0-next.5:
   version "2.0.0-next.5"
   resolved "https://registry.npmjs.org/resolve/-/resolve-2.0.0-next.5.tgz"
   integrity sha512-U7WjGVG9sH8tvjW5SmGbQuui75FiyjAX72HX15DwBBwF9dNiQZRQAg9nnPhYy+TUnE0+VcrttuvNI8oSxZcocA==
@@ -11493,23 +11976,23 @@ responselike@^2.0.0:
   dependencies:
     lowercase-keys "^2.0.0"
 
-restore-cursor@^3.1.0:
-  version "3.1.0"
-  resolved "https://registry.npmjs.org/restore-cursor/-/restore-cursor-3.1.0.tgz"
-  integrity sha512-l+sSefzHpj5qimhFSE5a8nufZYAM3sBSVMAPtYkmC+4EH2anSGaEMXSD0izRQbu9nfyQ9y5JrVmp7E8oZrUjvA==
+restore-cursor@^5.0.0:
+  version "5.1.0"
+  resolved "https://registry.npmjs.org/restore-cursor/-/restore-cursor-5.1.0.tgz"
+  integrity sha512-oMA2dcrw6u0YfxJQXm342bFKX/E4sG9rbTzO9ptUcR/e8A33cHuvStiYOwH7fszkZlZ1z/ta9AAoPk2F4qIOHA==
   dependencies:
-    onetime "^5.1.0"
-    signal-exit "^3.0.2"
+    onetime "^7.0.0"
+    signal-exit "^4.1.0"
 
 reusify@^1.0.4:
   version "1.0.4"
   resolved "https://registry.npmjs.org/reusify/-/reusify-1.0.4.tgz"
   integrity sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw==
 
-rfdc@^1.3.0:
-  version "1.3.0"
-  resolved "https://registry.npmjs.org/rfdc/-/rfdc-1.3.0.tgz"
-  integrity sha512-V2hovdzFbOi77/WajaSMXk2OLm+xNIeQdMMuB7icj7bk6zi2F8GGAxigcnDFpJHbNyNcgyJDiP+8nOrY5cZGrA==
+rfdc@^1.4.1:
+  version "1.4.1"
+  resolved "https://registry.npmjs.org/rfdc/-/rfdc-1.4.1.tgz"
+  integrity sha512-q1b3N5QkRUWUl7iyylaaj3kOpIT0N2i9MqIEQXP73GVsN9cw3fdx8X63cEmWhJGi2PPCF23Ijp7ktmd39rawIA==
 
 rimraf@^3.0.2:
   version "3.0.2"
@@ -11560,28 +12043,15 @@ rw@1:
   resolved "https://registry.npmjs.org/rw/-/rw-1.3.3.tgz"
   integrity sha512-PdhdWy89SiZogBLaw42zdeqtRJ//zFd2PgQavcICDUgJT5oW10QCRKbJ6bg4r0/UY2M6BWd5tkxuGFRvCkgfHQ==
 
-rxjs@^7.8.0:
-  version "7.8.1"
-  resolved "https://registry.npmjs.org/rxjs/-/rxjs-7.8.1.tgz"
-  integrity sha512-AA3TVj+0A2iuIoQkWEK/tqFjBq2j+6PO6Y0zJcvzLAFhEFIO3HL0vls9hWLncZbAAbK0mar7oZ4V079I/qPMxg==
+safe-array-concat@^1.1.3:
+  version "1.1.3"
+  resolved "https://registry.npmjs.org/safe-array-concat/-/safe-array-concat-1.1.3.tgz"
+  integrity sha512-AURm5f0jYEOydBj7VQlVvDrjeFgthDdEF5H1dP+6mNpoXOMo1quQqJ4wvJDyRZ9+pO3kGWoOdmV08cSv2aJV6Q==
   dependencies:
-    tslib "^2.1.0"
-
-sade@^1.7.3:
-  version "1.8.1"
-  resolved "https://registry.npmjs.org/sade/-/sade-1.8.1.tgz"
-  integrity sha512-xal3CZX1Xlo/k4ApwCFrHVACi9fBqJ7V+mwhBsuf/1IOKbBy098Fex+Wa/5QMubw09pSZ/u8EY8PWgevJsXp1A==
-  dependencies:
-    mri "^1.1.0"
-
-safe-array-concat@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/safe-array-concat/-/safe-array-concat-1.0.1.tgz"
-  integrity sha512-6XbUAseYE2KtOuGueyeobCySj9L4+66Tn6KQMOPQJrAJEowYKW/YR/MGJZl7FdydUdaFu4LYyDZjxf4/Nmo23Q==
-  dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.2.1"
-    has-symbols "^1.0.3"
+    call-bind "^1.0.8"
+    call-bound "^1.0.2"
+    get-intrinsic "^1.2.6"
+    has-symbols "^1.1.0"
     isarray "^2.0.5"
 
 safe-buffer@^5.0.1, safe-buffer@^5.1.0, safe-buffer@^5.1.1, safe-buffer@^5.1.2, safe-buffer@^5.2.1, safe-buffer@~5.2.0:
@@ -11589,26 +12059,24 @@ safe-buffer@^5.0.1, safe-buffer@^5.1.0, safe-buffer@^5.1.1, safe-buffer@^5.1.2,
   resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz"
   integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==
 
-safe-buffer@~5.1.0, safe-buffer@~5.1.1:
+safe-buffer@~5.1.0:
   version "5.1.2"
   resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz"
   integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==
 
-safe-regex-test@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/safe-regex-test/-/safe-regex-test-1.0.0.tgz"
-  integrity sha512-JBUUzyOgEwXQY1NuPtvcj/qcBDbDmEvWufhlnXZIm75DEHp+afM1r1ujJpJsV/gSM4t59tpDyPi1sd6ZaPFfsA==
-  dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.1.3"
-    is-regex "^1.1.4"
+safe-buffer@~5.1.1:
+  version "5.1.2"
+  resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz"
+  integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==
 
-safe-regex@^2.1.1:
-  version "2.1.1"
-  resolved "https://registry.npmjs.org/safe-regex/-/safe-regex-2.1.1.tgz"
-  integrity sha512-rx+x8AMzKb5Q5lQ95Zoi6ZbJqwCLkqi3XuJXp5P3rT8OEc6sZCJG5AE5dU3lsgRr/F4Bs31jSlVN+j5KrsGu9A==
+safe-regex-test@^1.0.3, safe-regex-test@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/safe-regex-test/-/safe-regex-test-1.1.0.tgz"
+  integrity sha512-x/+Cz4YrimQxQccJf5mKEbIa1NzeCRNI5Ecl/ekmlYaampdNLPalVyIcCZNNH3MvmqBugV5TMYZXv0ljslUlaw==
   dependencies:
-    regexp-tree "~0.1.1"
+    call-bound "^1.0.2"
+    es-errors "^1.3.0"
+    is-regex "^1.2.1"
 
 "safer-buffer@>= 2.1.2 < 3.0.0":
   version "2.1.2"
@@ -11622,14 +12090,16 @@ sass-loader@^13.2.0:
   dependencies:
     neo-async "^2.6.2"
 
-sass@^1.61.0:
-  version "1.62.1"
-  resolved "https://registry.npmjs.org/sass/-/sass-1.62.1.tgz"
-  integrity sha512-NHpxIzN29MXvWiuswfc1W3I0N8SXBd8UR26WntmDlRYf0bSADnwnOjsyMZ3lMezSlArD33Vs3YFhp7dWvL770A==
+sass@^1.3.0, sass@^1.80.3:
+  version "1.83.0"
+  resolved "https://registry.npmjs.org/sass/-/sass-1.83.0.tgz"
+  integrity sha512-qsSxlayzoOjdvXMVLkzF84DJFc2HZEL/rFyGIKbbilYtAvlCxyuzUeff9LawTn4btVnLKg75Z8MMr1lxU1lfGw==
   dependencies:
-    chokidar ">=3.0.0 <4.0.0"
-    immutable "^4.0.0"
+    chokidar "^4.0.0"
+    immutable "^5.0.2"
     source-map-js ">=0.6.2 <2.0.0"
+  optionalDependencies:
+    "@parcel/watcher" "^2.4.1"
 
 saxes@^6.0.0:
   version "6.0.0"
@@ -11638,14 +12108,23 @@ saxes@^6.0.0:
   dependencies:
     xmlchars "^2.2.0"
 
-scheduler@^0.23.0:
+scheduler@^0.23.0, scheduler@>=0.19.0:
   version "0.23.0"
   resolved "https://registry.npmjs.org/scheduler/-/scheduler-0.23.0.tgz"
   integrity sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==
   dependencies:
     loose-envify "^1.1.0"
 
-schema-utils@^3.1.1, schema-utils@^3.2.0:
+schema-utils@^3.1.1:
+  version "3.3.0"
+  resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-3.3.0.tgz"
+  integrity sha512-pN/yOAvcC+5rQ5nERGuwrjLlYvLTbCibnZ1I7B1LaiAz9BRBlE9GMgE/eqV30P7aJQUf7Ddimy/RsbYO/GrVGg==
+  dependencies:
+    "@types/json-schema" "^7.0.8"
+    ajv "^6.12.5"
+    ajv-keywords "^3.5.2"
+
+schema-utils@^3.2.0:
   version "3.3.0"
   resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-3.3.0.tgz"
   integrity sha512-pN/yOAvcC+5rQ5nERGuwrjLlYvLTbCibnZ1I7B1LaiAz9BRBlE9GMgE/eqV30P7aJQUf7Ddimy/RsbYO/GrVGg==
@@ -11669,28 +12148,40 @@ screenfull@^5.0.0:
   resolved "https://registry.npmjs.org/screenfull/-/screenfull-5.2.0.tgz"
   integrity sha512-9BakfsO2aUQN2K9Fdbj87RJIEZ82Q9IGim7FqM5OsebfoFC6ZHXgDq/KvniuLTPdeM8wY2o6Dj3WQ7KeQCj3cA==
 
-"semver@2 || 3 || 4 || 5":
-  version "5.7.2"
-  resolved "https://registry.npmjs.org/semver/-/semver-5.7.2.tgz"
-  integrity sha512-cBznnQ9KjJqU67B52RMC65CMarK2600WFnbkcaiwWq3xy/5haFJlshgnpjovMVJ+Hff49d8GEn0b87C5pDQ10g==
+scslre@^0.3.0:
+  version "0.3.0"
+  resolved "https://registry.npmjs.org/scslre/-/scslre-0.3.0.tgz"
+  integrity sha512-3A6sD0WYP7+QrjbfNA2FN3FsOaGGFoekCVgTyypy53gPxhbkCIjtO6YWgdrfM+n/8sI8JeXZOIxsHjMTNxQ4nQ==
+  dependencies:
+    "@eslint-community/regexpp" "^4.8.0"
+    refa "^0.12.0"
+    regexp-ast-analysis "^0.7.0"
 
-semver@^6.0.0, semver@^6.3.0, semver@^6.3.1:
+semver@^6.0.0:
   version "6.3.1"
   resolved "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz"
   integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.0.0, semver@^7.3.5, semver@^7.3.6, semver@^7.3.7, semver@^7.3.8, semver@^7.5.3, semver@^7.5.4:
-  version "7.6.0"
-  resolved "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz"
-  integrity sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==
-  dependencies:
-    lru-cache "^6.0.0"
+semver@^6.3.0:
+  version "6.3.1"
+  resolved "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz"
+  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.6.2, semver@^7.6.3:
+semver@^6.3.1:
+  version "6.3.1"
+  resolved "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz"
+  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
+
+semver@^7.3.5, semver@^7.3.6, semver@^7.3.7, semver@^7.5.3, semver@^7.5.4, semver@^7.6.0, semver@^7.6.2, semver@^7.6.3:
   version "7.6.3"
   resolved "https://registry.npmjs.org/semver/-/semver-7.6.3.tgz"
   integrity sha512-oVekP1cKtI+CTDvHWYFUcMtsK/00wmAEfyqKfNdARm8u1wNVhSgaX7A8d4UuIlUI5e84iEwOhs7ZPYRmzU9U6A==
 
+"semver@2 || 3 || 4 || 5":
+  version "5.7.2"
+  resolved "https://registry.npmjs.org/semver/-/semver-5.7.2.tgz"
+  integrity sha512-cBznnQ9KjJqU67B52RMC65CMarK2600WFnbkcaiwWq3xy/5haFJlshgnpjovMVJ+Hff49d8GEn0b87C5pDQ10g==
+
 serialize-javascript@^6.0.1:
   version "6.0.1"
   resolved "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.1.tgz"
@@ -11703,12 +12194,7 @@ server-only@^0.0.1:
   resolved "https://registry.npmjs.org/server-only/-/server-only-0.0.1.tgz"
   integrity sha512-qepMx2JxAa5jjfzxG79yPPq+8BuFToHd1hm7kI+Z4zAq1ftQiP7HcxMhDDItrbtwVeLg/cY2JnKnrcFkmiswNA==
 
-set-blocking@^2.0.0:
-  version "2.0.0"
-  resolved "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz"
-  integrity sha512-KiKBS8AnWGEyLzofFfmvKwpdPzqiy16LvQfK3yv/fVH7Bj13/wl3JSR1J+rfgRE9q7xUJK4qvgS8raSOeLUehw==
-
-set-function-length@^1.2.1:
+set-function-length@^1.2.2:
   version "1.2.2"
   resolved "https://registry.npmjs.org/set-function-length/-/set-function-length-1.2.2.tgz"
   integrity sha512-pgRc4hJ4/sNjWCSS9AmnS40x3bNMDTknHgL5UaMBTMyJnU90EgWh1Rz+MC9eFu4BuN/UwZjKQuY/1v3rM7HMfg==
@@ -11720,14 +12206,15 @@ set-function-length@^1.2.1:
     gopd "^1.0.1"
     has-property-descriptors "^1.0.2"
 
-set-function-name@^2.0.0, set-function-name@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/set-function-name/-/set-function-name-2.0.1.tgz"
-  integrity sha512-tMNCiqYVkXIZgc2Hnoy2IvC/f8ezc5koaRFkCjrpWzGpCd3qbZXPzVy9MAZzK1ch/X0jvSkojys3oqJN0qCmdA==
+set-function-name@^2.0.2:
+  version "2.0.2"
+  resolved "https://registry.npmjs.org/set-function-name/-/set-function-name-2.0.2.tgz"
+  integrity sha512-7PGFlmtwsEADb0WYyvCMa1t+yke6daIG4Wirafur5kcf+MhUnPms1UeR0CKQdTZD81yESwMHbtn+TR+dMviakQ==
   dependencies:
-    define-data-property "^1.0.1"
+    define-data-property "^1.1.4"
+    es-errors "^1.3.0"
     functions-have-names "^1.2.3"
-    has-property-descriptors "^1.0.0"
+    has-property-descriptors "^1.0.2"
 
 setimmediate@^1.0.4:
   version "1.0.5"
@@ -11742,7 +12229,7 @@ sha.js@^2.4.0, sha.js@^2.4.8:
     inherits "^2.0.1"
     safe-buffer "^5.0.1"
 
-sharp@^0.33.2, sharp@^0.33.3:
+sharp@^0.33.3, sharp@^0.33.5:
   version "0.33.5"
   resolved "https://registry.npmjs.org/sharp/-/sharp-0.33.5.tgz"
   integrity sha512-haPVm1EkS9pgvHrQ/F3Xy+hgcuMV0Wm9vfIBSiwZ05k+xgb0PkBQpGsAA/oWdDobNaZTH5ppvHtzCFbnSEwHVw==
@@ -11788,34 +12275,65 @@ shebang-regex@^3.0.0:
   resolved "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz"
   integrity sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==
 
-side-channel@^1.0.4, side-channel@^1.0.6:
-  version "1.0.6"
-  resolved "https://registry.npmjs.org/side-channel/-/side-channel-1.0.6.tgz"
-  integrity sha512-fDW/EZ6Q9RiO8eFG8Hj+7u/oW+XrPTIChwCOM2+th2A6OblDtYYIpve9m+KvI9Z4C9qSEXlaGR6bTEYHReuglA==
-  dependencies:
-    call-bind "^1.0.7"
-    es-errors "^1.3.0"
-    get-intrinsic "^1.2.4"
-    object-inspect "^1.13.1"
+short-unique-id@^5.2.0:
+  version "5.2.0"
+  resolved "https://registry.npmjs.org/short-unique-id/-/short-unique-id-5.2.0.tgz"
+  integrity sha512-cMGfwNyfDZ/nzJ2k2M+ClthBIh//GlZl1JEf47Uoa9XR11bz8Pa2T2wQO4bVrRdH48LrIDWJahQziKo3MjhsWg==
 
-signal-exit@^3.0.0, signal-exit@^3.0.2, signal-exit@^3.0.3, signal-exit@^3.0.7:
+side-channel-list@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/side-channel-list/-/side-channel-list-1.0.0.tgz"
+  integrity sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA==
+  dependencies:
+    es-errors "^1.3.0"
+    object-inspect "^1.13.3"
+
+side-channel-map@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.npmjs.org/side-channel-map/-/side-channel-map-1.0.1.tgz"
+  integrity sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA==
+  dependencies:
+    call-bound "^1.0.2"
+    es-errors "^1.3.0"
+    get-intrinsic "^1.2.5"
+    object-inspect "^1.13.3"
+
+side-channel-weakmap@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz"
+  integrity sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A==
+  dependencies:
+    call-bound "^1.0.2"
+    es-errors "^1.3.0"
+    get-intrinsic "^1.2.5"
+    object-inspect "^1.13.3"
+    side-channel-map "^1.0.1"
+
+side-channel@^1.0.6, side-channel@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/side-channel/-/side-channel-1.1.0.tgz"
+  integrity sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw==
+  dependencies:
+    es-errors "^1.3.0"
+    object-inspect "^1.13.3"
+    side-channel-list "^1.0.0"
+    side-channel-map "^1.0.1"
+    side-channel-weakmap "^1.0.2"
+
+signal-exit@^3.0.3, signal-exit@^3.0.7:
   version "3.0.7"
   resolved "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz"
   integrity sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ==
 
-simple-concat@^1.0.0:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz"
-  integrity sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==
+signal-exit@^4.0.1:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz"
+  integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
 
-simple-get@^3.0.3:
-  version "3.1.1"
-  resolved "https://registry.npmjs.org/simple-get/-/simple-get-3.1.1.tgz"
-  integrity sha512-CQ5LTKGfCpvE1K0n2us+kuMPbk/q0EKl82s4aheV9oXjFEz6W/Y7oQFVJuU6QG77hRT4Ghb5RURteF5vnWjupA==
-  dependencies:
-    decompress-response "^4.2.0"
-    once "^1.3.1"
-    simple-concat "^1.0.0"
+signal-exit@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz"
+  integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
 
 simple-swizzle@^0.2.2:
   version "0.2.2"
@@ -11844,23 +12362,10 @@ slash@^4.0.0:
   resolved "https://registry.npmjs.org/slash/-/slash-4.0.0.tgz"
   integrity sha512-3dOsAHXXUkQTpOYcoAxLIorMTp4gIQr5IW3iVb7A7lFIp0VHhnynm9izx6TssdrIcVIESAlVjtnO2K8bg+Coew==
 
-slice-ansi@^3.0.0:
-  version "3.0.0"
-  resolved "https://registry.npmjs.org/slice-ansi/-/slice-ansi-3.0.0.tgz"
-  integrity sha512-pSyv7bSTC7ig9Dcgbw9AuRNUb5k5V6oDudjZoMBSr13qpLBG7tB+zgCkARjq7xIUgdz5P1Qe8u+rSGdouOOIyQ==
-  dependencies:
-    ansi-styles "^4.0.0"
-    astral-regex "^2.0.0"
-    is-fullwidth-code-point "^3.0.0"
-
-slice-ansi@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.npmjs.org/slice-ansi/-/slice-ansi-4.0.0.tgz"
-  integrity sha512-qMCMfhY040cVHT43K9BFygqYbUPFZKHOg7K73mtTWJRb8pyP3fzf4Ixd5SzdEJQ6MRUg/WBnOLxghZtKKurENQ==
-  dependencies:
-    ansi-styles "^4.0.0"
-    astral-regex "^2.0.0"
-    is-fullwidth-code-point "^3.0.0"
+slashes@^3.0.12:
+  version "3.0.12"
+  resolved "https://registry.npmjs.org/slashes/-/slashes-3.0.12.tgz"
+  integrity sha512-Q9VME8WyGkc7pJf6QEkj3wE+2CnvZMI+XJhwdTPR8Z/kWQRXi7boAWLDibRPyHRTUTPx5FaU7MsyrjI3yLB4HA==
 
 slice-ansi@^5.0.0:
   version "5.0.0"
@@ -11870,24 +12375,24 @@ slice-ansi@^5.0.0:
     ansi-styles "^6.0.0"
     is-fullwidth-code-point "^4.0.0"
 
-sortablejs@^1.15.0:
-  version "1.15.0"
-  resolved "https://registry.npmjs.org/sortablejs/-/sortablejs-1.15.0.tgz"
-  integrity sha512-bv9qgVMjUMf89wAvM6AxVvS/4MX3sPeN0+agqShejLU5z5GX4C75ow1O2e5k4L6XItUyAK3gH6AxSbXrOM5e8w==
+slice-ansi@^7.1.0:
+  version "7.1.0"
+  resolved "https://registry.npmjs.org/slice-ansi/-/slice-ansi-7.1.0.tgz"
+  integrity sha512-bSiSngZ/jWeX93BqeIAbImyTbEihizcwNjFoRUIY/T1wWQsfsm2Vw1agPKylXvQTU7iASGdHhyqRlqQzfz+Htg==
+  dependencies:
+    ansi-styles "^6.2.1"
+    is-fullwidth-code-point "^5.0.0"
 
-"source-map-js@>=0.6.2 <2.0.0", source-map-js@^1.0.2, source-map-js@^1.2.0, source-map-js@^1.2.1:
+sortablejs@^1.15.3, sortablejs@1:
+  version "1.15.6"
+  resolved "https://registry.npmjs.org/sortablejs/-/sortablejs-1.15.6.tgz"
+  integrity sha512-aNfiuwMEpfBM/CN6LY0ibyhxPfPbyFeBTYJKCvzkJ2GkUpazIt3H+QIPAMHwqQ7tMKaHz1Qj+rJJCqljnf4p3A==
+
+source-map-js@^1.0.2, source-map-js@^1.2.0, source-map-js@^1.2.1, "source-map-js@>=0.6.2 <2.0.0":
   version "1.2.1"
   resolved "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz"
   integrity sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==
 
-source-map-support@0.5.13:
-  version "0.5.13"
-  resolved "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.13.tgz"
-  integrity sha512-SHSKFHadjVA5oR4PPqhtAVdcBWwRYVd6g6cAXnIbRiIwc2EhPrTuKUBdSLvlEKyIP3GCf89fltvcZiP9MMFA1w==
-  dependencies:
-    buffer-from "^1.0.0"
-    source-map "^0.6.0"
-
 source-map-support@~0.5.20:
   version "0.5.21"
   resolved "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.21.tgz"
@@ -11896,7 +12401,20 @@ source-map-support@~0.5.20:
     buffer-from "^1.0.0"
     source-map "^0.6.0"
 
-source-map@0.6.1, source-map@^0.6.0, source-map@^0.6.1, source-map@~0.6.0, source-map@~0.6.1:
+source-map-support@0.5.13:
+  version "0.5.13"
+  resolved "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.13.tgz"
+  integrity sha512-SHSKFHadjVA5oR4PPqhtAVdcBWwRYVd6g6cAXnIbRiIwc2EhPrTuKUBdSLvlEKyIP3GCf89fltvcZiP9MMFA1w==
+  dependencies:
+    buffer-from "^1.0.0"
+    source-map "^0.6.0"
+
+source-map@^0.6.0:
+  version "0.6.1"
+  resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz"
+  integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
+
+source-map@^0.6.1:
   version "0.6.1"
   resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz"
   integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
@@ -11906,6 +12424,21 @@ source-map@^0.7.0, source-map@^0.7.3:
   resolved "https://registry.npmjs.org/source-map/-/source-map-0.7.4.tgz"
   integrity sha512-l3BikUxvPOcn5E74dZiq5BGsTb5yEwhaTSzccU6t4sDOH8NWJCstKO5QT2CvtFoK6F0saL7p9xHAqHOlCPJygA==
 
+source-map@~0.6.0:
+  version "0.6.1"
+  resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz"
+  integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
+
+source-map@~0.6.1:
+  version "0.6.1"
+  resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz"
+  integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
+
+source-map@0.6.1:
+  version "0.6.1"
+  resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz"
+  integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
+
 space-separated-tokens@^1.0.0:
   version "1.1.5"
   resolved "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-1.1.5.tgz"
@@ -11937,6 +12470,14 @@ spdx-expression-parse@^3.0.0:
     spdx-exceptions "^2.1.0"
     spdx-license-ids "^3.0.0"
 
+spdx-expression-parse@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.npmjs.org/spdx-expression-parse/-/spdx-expression-parse-4.0.0.tgz"
+  integrity sha512-Clya5JIij/7C6bRR22+tnGXbc4VKlibKSVj2iHvVeX5iMW7s1SIQlqu699JkODJJIhh/pUu8L0/VLh8xflD+LQ==
+  dependencies:
+    spdx-exceptions "^2.1.0"
+    spdx-license-ids "^3.0.0"
+
 spdx-license-ids@^3.0.0:
   version "3.0.13"
   resolved "https://registry.npmjs.org/spdx-license-ids/-/spdx-license-ids-3.0.13.tgz"
@@ -11947,6 +12488,11 @@ sprintf-js@~1.0.2:
   resolved "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz"
   integrity sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==
 
+stable-hash@^0.0.4:
+  version "0.0.4"
+  resolved "https://registry.npmjs.org/stable-hash/-/stable-hash-0.0.4.tgz"
+  integrity sha512-LjdcbuBeLcdETCrPn9i8AYAZ1eCtu4ECAWtP7UleOiZ9LzVxRzzUZEoZ8zB24nhkQnDWyET0I+3sWokSDS3E7g==
+
 stack-utils@^2.0.3:
   version "2.0.6"
   resolved "https://registry.npmjs.org/stack-utils/-/stack-utils-2.0.6.tgz"
@@ -11964,19 +12510,12 @@ state-local@^1.0.6:
   resolved "https://registry.npmjs.org/state-local/-/state-local-1.0.7.tgz"
   integrity sha512-HTEHMNieakEnoe33shBYcZ7NX83ACUjCu8c40iOGEZsngj9zRnkqS9j1pqQPXwobB0ZcVTk27REb7COQ0UR59w==
 
-stop-iteration-iterator@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/stop-iteration-iterator/-/stop-iteration-iterator-1.0.0.tgz"
-  integrity sha512-iCGQj+0l0HOdZ2AEeBADlsRC+vsnDsZsbdSiH1yNSjcfKM7fdpCMfqAL/dwF5BLiw/XhRft/Wax6zQbhq2BcjQ==
+"storybook@^8.2.0 || ^8.3.0-0 || ^8.4.0-0 || ^8.5.0-0 || ^8.6.0-0", storybook@^8.3.6, storybook@^8.4.7:
+  version "8.4.7"
+  resolved "https://registry.npmjs.org/storybook/-/storybook-8.4.7.tgz"
+  integrity sha512-RP/nMJxiWyFc8EVMH5gp20ID032Wvk+Yr3lmKidoegto5Iy+2dVQnUoElZb2zpbVXNHWakGuAkfI0dY1Hfp/vw==
   dependencies:
-    internal-slot "^1.0.4"
-
-storybook@^8.3.5:
-  version "8.4.2"
-  resolved "https://registry.npmjs.org/storybook/-/storybook-8.4.2.tgz"
-  integrity sha512-GMCgyAulmLNrkUtDkCpFO4SB77YrpiIxq6e5tzaQdXEuaDu1mdNwOuP3VG7nE2FzxmqDvagSgriM68YW9iFaZA==
-  dependencies:
-    "@storybook/core" "8.4.2"
+    "@storybook/core" "8.4.7"
 
 stream-browserify@^3.0.0:
   version "3.0.0"
@@ -12001,70 +12540,6 @@ streamsearch@^1.1.0:
   resolved "https://registry.npmjs.org/streamsearch/-/streamsearch-1.1.0.tgz"
   integrity sha512-Mcc5wHehp9aXz1ax6bZUyY5afg9u2rv5cqQI3mRrYkGC8rW2hM02jWuwjtL++LS5qinSyhj2QfLyNsuc+VsExg==
 
-string-argv@^0.3.1:
-  version "0.3.2"
-  resolved "https://registry.npmjs.org/string-argv/-/string-argv-0.3.2.tgz"
-  integrity sha512-aqD2Q0144Z+/RqG52NeHEkZauTAUWJO8c6yTftGJKO3Tja5tUgIfmIl6kExvhtxSDP7fXB6DvzkfMpCd/F3G+Q==
-
-string-length@^4.0.1:
-  version "4.0.2"
-  resolved "https://registry.npmjs.org/string-length/-/string-length-4.0.2.tgz"
-  integrity sha512-+l6rNN5fYHNhZZy41RXsYptCjA2Igmq4EG7kZAYFQI1E1VTXarr6ZPXBg6eq7Y6eK4FEhY6AJlyuFIb/v/S0VQ==
-  dependencies:
-    char-regex "^1.0.2"
-    strip-ansi "^6.0.0"
-
-string-width@4.2.3, "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.3, string-width@^5.0.0:
-  version "4.2.3"
-  resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
-  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
-  dependencies:
-    emoji-regex "^8.0.0"
-    is-fullwidth-code-point "^3.0.0"
-    strip-ansi "^6.0.1"
-
-string.prototype.matchall@^4.0.8:
-  version "4.0.10"
-  resolved "https://registry.npmjs.org/string.prototype.matchall/-/string.prototype.matchall-4.0.10.tgz"
-  integrity sha512-rGXbGmOEosIQi6Qva94HUjgPs9vKW+dkG7Y8Q5O2OYkWL6wFaTRZO8zM4mhP94uX55wgyrXzfS2aGtGzUL7EJQ==
-  dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-    get-intrinsic "^1.2.1"
-    has-symbols "^1.0.3"
-    internal-slot "^1.0.5"
-    regexp.prototype.flags "^1.5.0"
-    set-function-name "^2.0.0"
-    side-channel "^1.0.4"
-
-string.prototype.trim@^1.2.8:
-  version "1.2.8"
-  resolved "https://registry.npmjs.org/string.prototype.trim/-/string.prototype.trim-1.2.8.tgz"
-  integrity sha512-lfjY4HcixfQXOfaqCvcBuOIapyaroTXhbkfJN3gcB1OtyupngWK4sEET9Knd0cXd28kTUqu/kHoV4HKSJdnjiQ==
-  dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-
-string.prototype.trimend@^1.0.7:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/string.prototype.trimend/-/string.prototype.trimend-1.0.7.tgz"
-  integrity sha512-Ni79DqeB72ZFq1uH/L6zJ+DKZTkOtPIHovb3YZHQViE+HDouuU4mBrLOLDn5Dde3RF8qw5qVETEjhu9locMLvA==
-  dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-
-string.prototype.trimstart@^1.0.7:
-  version "1.0.7"
-  resolved "https://registry.npmjs.org/string.prototype.trimstart/-/string.prototype.trimstart-1.0.7.tgz"
-  integrity sha512-NGhtDFu3jCEm7B4Fy0DpLewdJQOZcQ0rGbwQ/+stjnrp2i+rlKeCvos9hOIeCmqwratM47OBxY7uFZzjxHXmrg==
-  dependencies:
-    call-bind "^1.0.2"
-    define-properties "^1.2.0"
-    es-abstract "^1.22.1"
-
 string_decoder@^1.1.1, string_decoder@^1.3.0:
   version "1.3.0"
   resolved "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz"
@@ -12079,6 +12554,137 @@ string_decoder@~1.1.1:
   dependencies:
     safe-buffer "~5.1.0"
 
+string-argv@~0.3.2:
+  version "0.3.2"
+  resolved "https://registry.npmjs.org/string-argv/-/string-argv-0.3.2.tgz"
+  integrity sha512-aqD2Q0144Z+/RqG52NeHEkZauTAUWJO8c6yTftGJKO3Tja5tUgIfmIl6kExvhtxSDP7fXB6DvzkfMpCd/F3G+Q==
+
+string-length@^4.0.1:
+  version "4.0.2"
+  resolved "https://registry.npmjs.org/string-length/-/string-length-4.0.2.tgz"
+  integrity sha512-+l6rNN5fYHNhZZy41RXsYptCjA2Igmq4EG7kZAYFQI1E1VTXarr6ZPXBg6eq7Y6eK4FEhY6AJlyuFIb/v/S0VQ==
+  dependencies:
+    char-regex "^1.0.2"
+    strip-ansi "^6.0.0"
+
+string-ts@^2.2.0:
+  version "2.2.0"
+  resolved "https://registry.npmjs.org/string-ts/-/string-ts-2.2.0.tgz"
+  integrity sha512-VTP0LLZo4Jp9Gz5IiDVMS9WyLx/3IeYh0PXUn0NdPqusUFNgkHPWiEdbB9TU2Iv3myUskraD5WtYEdHUrQEIlQ==
+
+"string-width-cjs@npm:string-width@^4.2.0":
+  version "4.2.3"
+  resolved "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz"
+  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
+  dependencies:
+    emoji-regex "^8.0.0"
+    is-fullwidth-code-point "^3.0.0"
+    strip-ansi "^6.0.1"
+
+string-width@^4.1.0, string-width@^4.2.0:
+  version "4.2.3"
+  resolved "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz"
+  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
+  dependencies:
+    emoji-regex "^8.0.0"
+    is-fullwidth-code-point "^3.0.0"
+    strip-ansi "^6.0.1"
+
+string-width@^4.2.3:
+  version "4.2.3"
+  resolved "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz"
+  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
+  dependencies:
+    emoji-regex "^8.0.0"
+    is-fullwidth-code-point "^3.0.0"
+    strip-ansi "^6.0.1"
+
+string-width@^5.0.1, string-width@^5.1.2:
+  version "5.1.2"
+  resolved "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz"
+  integrity sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==
+  dependencies:
+    eastasianwidth "^0.2.0"
+    emoji-regex "^9.2.2"
+    strip-ansi "^7.0.1"
+
+string-width@^7.0.0:
+  version "7.2.0"
+  resolved "https://registry.npmjs.org/string-width/-/string-width-7.2.0.tgz"
+  integrity sha512-tsaTIkKW9b4N+AEj+SVA+WhJzV7/zMhcSu78mLKWSk7cXMOSHsBKFWUs0fWwq8QyK3MgJBQRX6Gbi4kYbdvGkQ==
+  dependencies:
+    emoji-regex "^10.3.0"
+    get-east-asian-width "^1.0.0"
+    strip-ansi "^7.1.0"
+
+string.prototype.includes@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.npmjs.org/string.prototype.includes/-/string.prototype.includes-2.0.1.tgz"
+  integrity sha512-o7+c9bW6zpAdJHTtujeePODAhkuicdAryFsfVKwA+wGw89wJ4GTY484WTucM9hLtDEOpOvI+aHnzqnC5lHp4Rg==
+  dependencies:
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.3"
+
+string.prototype.matchall@^4.0.12:
+  version "4.0.12"
+  resolved "https://registry.npmjs.org/string.prototype.matchall/-/string.prototype.matchall-4.0.12.tgz"
+  integrity sha512-6CC9uyBL+/48dYizRf7H7VAYCMCNTBeM78x/VTUe9bFEaxBepPJDa1Ow99LqI/1yF7kuy7Q3cQsYMrcjGUcskA==
+  dependencies:
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.6"
+    es-errors "^1.3.0"
+    es-object-atoms "^1.0.0"
+    get-intrinsic "^1.2.6"
+    gopd "^1.2.0"
+    has-symbols "^1.1.0"
+    internal-slot "^1.1.0"
+    regexp.prototype.flags "^1.5.3"
+    set-function-name "^2.0.2"
+    side-channel "^1.1.0"
+
+string.prototype.repeat@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.npmjs.org/string.prototype.repeat/-/string.prototype.repeat-1.0.0.tgz"
+  integrity sha512-0u/TldDbKD8bFCQ/4f5+mNRrXwZ8hg2w7ZR8wa16e8z9XpePWl3eGEcUD0OXpEH/VJH/2G3gjUtR3ZOiBe2S/w==
+  dependencies:
+    define-properties "^1.1.3"
+    es-abstract "^1.17.5"
+
+string.prototype.trim@^1.2.10:
+  version "1.2.10"
+  resolved "https://registry.npmjs.org/string.prototype.trim/-/string.prototype.trim-1.2.10.tgz"
+  integrity sha512-Rs66F0P/1kedk5lyYyH9uBzuiI/kNRmwJAR9quK6VOtIpZ2G+hMZd+HQbbv25MgCA6gEffoMZYxlTod4WcdrKA==
+  dependencies:
+    call-bind "^1.0.8"
+    call-bound "^1.0.2"
+    define-data-property "^1.1.4"
+    define-properties "^1.2.1"
+    es-abstract "^1.23.5"
+    es-object-atoms "^1.0.0"
+    has-property-descriptors "^1.0.2"
+
+string.prototype.trimend@^1.0.8, string.prototype.trimend@^1.0.9:
+  version "1.0.9"
+  resolved "https://registry.npmjs.org/string.prototype.trimend/-/string.prototype.trimend-1.0.9.tgz"
+  integrity sha512-G7Ok5C6E/j4SGfyLCloXTrngQIQU3PWtXGst3yM7Bea9FRURf1S42ZHlZZtsNque2FN2PoUhfZXYLNWwEr4dLQ==
+  dependencies:
+    call-bind "^1.0.8"
+    call-bound "^1.0.2"
+    define-properties "^1.2.1"
+    es-object-atoms "^1.0.0"
+
+string.prototype.trimstart@^1.0.8:
+  version "1.0.8"
+  resolved "https://registry.npmjs.org/string.prototype.trimstart/-/string.prototype.trimstart-1.0.8.tgz"
+  integrity sha512-UXSH262CSZY1tfu3G3Secr6uGLCFVPMhIqHjlgCUtCCcgihYc/xKs9djMTMUOb2j1mVSeU8EU6NWc/iQKU6Gfg==
+  dependencies:
+    call-bind "^1.0.7"
+    define-properties "^1.2.1"
+    es-object-atoms "^1.0.0"
+
 stringify-entities@^4.0.0:
   version "4.0.3"
   resolved "https://registry.npmjs.org/stringify-entities/-/stringify-entities-4.0.3.tgz"
@@ -12087,6 +12693,13 @@ stringify-entities@^4.0.0:
     character-entities-html4 "^2.0.0"
     character-entities-legacy "^3.0.0"
 
+"strip-ansi-cjs@npm:strip-ansi@^6.0.1":
+  version "6.0.1"
+  resolved "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz"
+  integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
+  dependencies:
+    ansi-regex "^5.0.1"
+
 strip-ansi@^6.0.0, strip-ansi@^6.0.1:
   version "6.0.1"
   resolved "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz"
@@ -12094,7 +12707,7 @@ strip-ansi@^6.0.0, strip-ansi@^6.0.1:
   dependencies:
     ansi-regex "^5.0.1"
 
-strip-ansi@^7.1.0:
+strip-ansi@^7.0.1, strip-ansi@^7.1.0:
   version "7.1.0"
   resolved "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz"
   integrity sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==
@@ -12145,19 +12758,19 @@ style-loader@^3.3.1:
   resolved "https://registry.npmjs.org/style-loader/-/style-loader-3.3.4.tgz"
   integrity sha512-0WqXzrsMTyb8yjZJHDqwmnwRJvhALK9LfRtRc6B4UTWe8AijYLZYZ9thuJTZc2VfQWINADW/j+LiJnfy2RoC1w==
 
-style-to-object@^0.4.0, style-to-object@^0.4.1:
+style-to-object@^0.4.0:
   version "0.4.1"
   resolved "https://registry.npmjs.org/style-to-object/-/style-to-object-0.4.1.tgz"
   integrity sha512-HFpbb5gr2ypci7Qw+IOhnP2zOU7e77b+rzM+wTzXzfi1PrtBCX0E7Pk4wL4iTLnhzZ+JgEGAhX81ebTg/aYjQw==
   dependencies:
     inline-style-parser "0.1.1"
 
-styled-jsx@5.1.1:
-  version "5.1.1"
-  resolved "https://registry.npmjs.org/styled-jsx/-/styled-jsx-5.1.1.tgz"
-  integrity sha512-pW7uC1l4mBZ8ugbiZrcIsiIvVx1UmTfw7UkC3Um2tmfUq9Bhk8IiyEIPl6F8agHgjzku6j0xQEZbfA5uSgSaCw==
+style-to-object@^1.0.0:
+  version "1.0.8"
+  resolved "https://registry.npmjs.org/style-to-object/-/style-to-object-1.0.8.tgz"
+  integrity sha512-xT47I/Eo0rwJmaXC4oilDGDWLohVhR6o/xAQcPQN8q6QBuZVL8qMYL85kLmST5cPjAorwvqIA4qXTRQoYHaL6g==
   dependencies:
-    client-only "0.0.1"
+    inline-style-parser "0.2.4"
 
 styled-jsx@^5.1.6:
   version "5.1.6"
@@ -12166,19 +12779,26 @@ styled-jsx@^5.1.6:
   dependencies:
     client-only "0.0.1"
 
+styled-jsx@5.1.1:
+  version "5.1.1"
+  resolved "https://registry.npmjs.org/styled-jsx/-/styled-jsx-5.1.1.tgz"
+  integrity sha512-pW7uC1l4mBZ8ugbiZrcIsiIvVx1UmTfw7UkC3Um2tmfUq9Bhk8IiyEIPl6F8agHgjzku6j0xQEZbfA5uSgSaCw==
+  dependencies:
+    client-only "0.0.1"
+
 stylis@^4.3.1:
   version "4.3.4"
   resolved "https://registry.npmjs.org/stylis/-/stylis-4.3.4.tgz"
   integrity sha512-osIBl6BGUmSfDkyH2mB7EFvCJntXDrLhKjHTRj/rK6xLH0yuPrHULDRQzKokSOD4VoorhtKpfcfW1GAntu8now==
 
-sucrase@^3.32.0:
-  version "3.32.0"
-  resolved "https://registry.npmjs.org/sucrase/-/sucrase-3.32.0.tgz"
-  integrity sha512-ydQOU34rpSyj2TGyz4D2p8rbktIOZ8QY9s+DGLvFU1i5pWJE8vkpruCjGCMHsdXwnD7JDcS+noSwM/a7zyNFDQ==
+sucrase@^3.35.0:
+  version "3.35.0"
+  resolved "https://registry.npmjs.org/sucrase/-/sucrase-3.35.0.tgz"
+  integrity sha512-8EbVDiu9iN/nESwxeSxDKe0dunta1GOlHufmSSXxMD2z2/tMZpDMpvXQGsc+ajGo8y2uYUmixaSRUc/QPoQ0GA==
   dependencies:
     "@jridgewell/gen-mapping" "^0.3.2"
     commander "^4.0.0"
-    glob "7.1.6"
+    glob "^10.3.10"
     lines-and-columns "^1.1.6"
     mz "^2.7.0"
     pirates "^4.0.1"
@@ -12215,6 +12835,13 @@ symbol-tree@^3.2.4:
   resolved "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz"
   integrity sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw==
 
+synckit@^0.6.0:
+  version "0.6.2"
+  resolved "https://registry.npmjs.org/synckit/-/synckit-0.6.2.tgz"
+  integrity sha512-Vhf+bUa//YSTYKseDiiEuQmhGCoIF3CVBhunm3r/DQnYiGT4JssmnKQc44BIyOZRK2pKjXXAgbhfmbeoC9CJpA==
+  dependencies:
+    tslib "^2.3.1"
+
 synckit@^0.8.5:
   version "0.8.5"
   resolved "https://registry.npmjs.org/synckit/-/synckit-0.8.5.tgz"
@@ -12223,61 +12850,57 @@ synckit@^0.8.5:
     "@pkgr/utils" "^2.3.1"
     tslib "^2.5.0"
 
-tabbable@^6.0.1:
+synckit@^0.9.1:
+  version "0.9.2"
+  resolved "https://registry.npmjs.org/synckit/-/synckit-0.9.2.tgz"
+  integrity sha512-vrozgXDQwYO72vHjUb/HnFbQx1exDjoKzqx23aXEg2a9VIg2TSFZ8FmeZpTjUCFMYw7mpX4BE2SFu8wI7asYsw==
+  dependencies:
+    "@pkgr/core" "^0.1.0"
+    tslib "^2.6.2"
+
+tabbable@^6.0.0:
   version "6.2.0"
   resolved "https://registry.npmjs.org/tabbable/-/tabbable-6.2.0.tgz"
   integrity sha512-Cat63mxsVJlzYvN51JmVXIgNoUokrIaT2zLclCXjRd8boZ0004U4KCs/sToJ75C6sdlByWxpYnb5Boif1VSFew==
 
-tailwind-merge@^2.4.0:
-  version "2.5.2"
-  resolved "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-2.5.2.tgz"
-  integrity sha512-kjEBm+pvD+6eAwzJL2Bi+02/9LFLal1Gs61+QB7HvTfQQ0aXwC5LGT8PEt1gS0CWKktKe6ysPTAy3cBC5MeiIg==
+tailwind-merge@^2.5.4:
+  version "2.6.0"
+  resolved "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-2.6.0.tgz"
+  integrity sha512-P+Vu1qXfzediirmHOC3xKGAYeZtPcV9g76X+xg2FD4tYgR71ewMA35Y3sCz3zhiN/dwefRpJX0yBcgwi1fXNQA==
 
-tailwindcss@^3.4.4:
-  version "3.4.9"
-  resolved "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.9.tgz"
-  integrity sha512-1SEOvRr6sSdV5IDf9iC+NU4dhwdqzF4zKKq3sAbasUWHEM6lsMhX+eNN5gkPx1BvLFEnZQEUFbXnGj8Qlp83Pg==
+tailwindcss@^3.4.0, tailwindcss@^3.4.14, "tailwindcss@>=3.0.0 || insiders || >=4.0.0-alpha.20":
+  version "3.4.17"
+  resolved "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.17.tgz"
+  integrity sha512-w33E2aCvSDP0tW9RZuNXadXlkHXqFzSkQew/aIa2i/Sj8fThxwovwlXHSPXTbAHwEIhBFXAedUhP2tueAKP8Og==
   dependencies:
     "@alloc/quick-lru" "^5.2.0"
     arg "^5.0.2"
-    chokidar "^3.5.3"
+    chokidar "^3.6.0"
     didyoumean "^1.2.2"
     dlv "^1.1.3"
-    fast-glob "^3.3.0"
+    fast-glob "^3.3.2"
     glob-parent "^6.0.2"
     is-glob "^4.0.3"
-    jiti "^1.21.0"
-    lilconfig "^2.1.0"
-    micromatch "^4.0.5"
+    jiti "^1.21.6"
+    lilconfig "^3.1.3"
+    micromatch "^4.0.8"
     normalize-path "^3.0.0"
     object-hash "^3.0.0"
-    picocolors "^1.0.0"
-    postcss "^8.4.23"
+    picocolors "^1.1.1"
+    postcss "^8.4.47"
     postcss-import "^15.1.0"
     postcss-js "^4.0.1"
-    postcss-load-config "^4.0.1"
-    postcss-nested "^6.0.1"
-    postcss-selector-parser "^6.0.11"
-    resolve "^1.22.2"
-    sucrase "^3.32.0"
+    postcss-load-config "^4.0.2"
+    postcss-nested "^6.2.0"
+    postcss-selector-parser "^6.1.2"
+    resolve "^1.22.8"
+    sucrase "^3.35.0"
 
 tapable@^2.0.0, tapable@^2.1.1, tapable@^2.2.0, tapable@^2.2.1:
   version "2.2.1"
   resolved "https://registry.npmjs.org/tapable/-/tapable-2.2.1.tgz"
   integrity sha512-GNzQvQTOIP6RyTfE2Qxb8ZVlNmw0n88vp1szwWRimP02mnTsx3Wtn5qRdqY9w2XduFNUgvOwhNnQsjwCp+kqaQ==
 
-tar@^6.1.11:
-  version "6.2.1"
-  resolved "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz"
-  integrity sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==
-  dependencies:
-    chownr "^2.0.0"
-    fs-minipass "^2.0.0"
-    minipass "^5.0.0"
-    minizlib "^2.1.1"
-    mkdirp "^1.0.3"
-    yallist "^4.0.0"
-
 terser-webpack-plugin@^5.3.1, terser-webpack-plugin@^5.3.10:
   version "5.3.10"
   resolved "https://registry.npmjs.org/terser-webpack-plugin/-/terser-webpack-plugin-5.3.10.tgz"
@@ -12308,11 +12931,6 @@ test-exclude@^6.0.0:
     glob "^7.1.4"
     minimatch "^3.0.4"
 
-text-table@^0.2.0:
-  version "0.2.0"
-  resolved "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz"
-  integrity sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw==
-
 thenify-all@^1.0.0:
   version "1.6.0"
   resolved "https://registry.npmjs.org/thenify-all/-/thenify-all-1.6.0.tgz"
@@ -12332,11 +12950,6 @@ throttle-debounce@^2.1.0:
   resolved "https://registry.npmjs.org/throttle-debounce/-/throttle-debounce-2.3.0.tgz"
   integrity sha512-H7oLPV0P7+jgvrk+6mwwwBDmxTaxnu9HMXmloNLXwnNO0ZxZ31Orah2n8lU1eMPvsaowP2CX+USCgyovXfdOFQ==
 
-through@^2.3.8:
-  version "2.3.8"
-  resolved "https://registry.npmjs.org/through/-/through-2.3.8.tgz"
-  integrity sha512-w89qg7PI8wAdvX60bMDP+bFoD5Dvhm9oLheFp5O4a2QF0cSBGsBX4qZmadPMvVqlLJBBci+WqGGOAPvcDeNSVg==
-
 timers-browserify@^2.0.12:
   version "2.0.12"
   resolved "https://registry.npmjs.org/timers-browserify/-/timers-browserify-2.0.12.tgz"
@@ -12344,17 +12957,17 @@ timers-browserify@^2.0.12:
   dependencies:
     setimmediate "^1.0.4"
 
-tiny-invariant@1.2.0:
-  version "1.2.0"
-  resolved "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.2.0.tgz"
-  integrity sha512-1Uhn/aqw5C6RI4KejVeTg6mIS7IqxnLJ8Mv2tV5rTc0qWobay7pDUz6Wi392Cnc8ak1H0F2cjoRzb2/AW4+Fvg==
-
 tiny-invariant@^1.3.1, tiny-invariant@^1.3.3:
   version "1.3.3"
   resolved "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz"
   integrity sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==
 
-tinyexec@^0.3.0:
+tiny-invariant@1.2.0:
+  version "1.2.0"
+  resolved "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.2.0.tgz"
+  integrity sha512-1Uhn/aqw5C6RI4KejVeTg6mIS7IqxnLJ8Mv2tV5rTc0qWobay7pDUz6Wi392Cnc8ak1H0F2cjoRzb2/AW4+Fvg==
+
+tinyexec@^0.3.0, tinyexec@^0.3.1:
   version "0.3.1"
   resolved "https://registry.npmjs.org/tinyexec/-/tinyexec-0.3.1.tgz"
   integrity sha512-WiCJLEECkO18gwqIp6+hJg0//p23HXp4S+gGtAKu3mI2F2/sXC4FvHvXvB0zJVVaTPhx1/tOwdbRsa1sOBIKqQ==
@@ -12391,6 +13004,13 @@ toggle-selection@^1.0.6:
   resolved "https://registry.npmjs.org/toggle-selection/-/toggle-selection-1.0.6.tgz"
   integrity sha512-BiZS+C1OS8g/q2RRbJmy59xpyghNBqrr6k5L/uKBGRsTfxmu3ffiRnd8mlGPUVayg8pvfi5urfnu8TU7DVOkLQ==
 
+toml-eslint-parser@^0.10.0:
+  version "0.10.0"
+  resolved "https://registry.npmjs.org/toml-eslint-parser/-/toml-eslint-parser-0.10.0.tgz"
+  integrity sha512-khrZo4buq4qVmsGzS5yQjKe/WsFvV8fGfOjDQN0q4iy9FjRfPWRgTFrU8u1R2iu/SfWLhY9WnCi4Jhdrcbtg+g==
+  dependencies:
+    eslint-visitor-keys "^3.0.0"
+
 tough-cookie@^4.1.2:
   version "4.1.4"
   resolved "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz"
@@ -12408,11 +13028,6 @@ tr46@^3.0.0:
   dependencies:
     punycode "^2.1.1"
 
-tr46@~0.0.3:
-  version "0.0.3"
-  resolved "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz"
-  integrity sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==
-
 trim-lines@^3.0.0:
   version "3.0.1"
   resolved "https://registry.npmjs.org/trim-lines/-/trim-lines-3.0.1.tgz"
@@ -12423,11 +13038,28 @@ trough@^2.0.0:
   resolved "https://registry.npmjs.org/trough/-/trough-2.1.0.tgz"
   integrity sha512-AqTiAOLcj85xS7vQ8QkAV41hPDIJ71XJB4RCUrzo/1GM2CQwhkJGaf9Hgr7BOugMRpgGUrqRg/DrBDl4H40+8g==
 
+ts-api-utils@^1.3.0:
+  version "1.4.3"
+  resolved "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-1.4.3.tgz"
+  integrity sha512-i3eMG77UTMD0hZhgRS562pv83RC6ukSAC2GMNWc+9dieh/+jDM5u5YG+NHX6VNDRHQcHwmsTHctP9LhbC3WxVw==
+
+ts-api-utils@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-2.0.0.tgz"
+  integrity sha512-xCt/TOAc+EOHS1XPnijD3/yzpH6qg2xppZO1YDqGoVsNXfQfzHpOdNuXwrwOU8u4ITXJyDCTyt8w5g1sZv9ynQ==
+
 ts-debounce@^4.0.0:
   version "4.0.0"
   resolved "https://registry.npmjs.org/ts-debounce/-/ts-debounce-4.0.0.tgz"
   integrity sha512-+1iDGY6NmOGidq7i7xZGA4cm8DAa6fqdYcvO5Z6yBevH++Bdo9Qt/mN0TzHUgcCcKv1gmh9+W5dHqz8pMWbCbg==
 
+ts-declaration-location@^1.0.4:
+  version "1.0.5"
+  resolved "https://registry.npmjs.org/ts-declaration-location/-/ts-declaration-location-1.0.5.tgz"
+  integrity sha512-WqmlO9IoeYwCqJ2E9kHMcY9GZhhfLYItC3VnHDlPOrg6nNdUWS4wn4hhDZUPt60m1EvtjPIZyprTjpI992Bgzw==
+  dependencies:
+    minimatch "^10.0.1"
+
 ts-dedent@^2.0.0, ts-dedent@^2.2.0:
   version "2.2.0"
   resolved "https://registry.npmjs.org/ts-dedent/-/ts-dedent-2.2.0.tgz"
@@ -12438,7 +13070,7 @@ ts-interface-checker@^0.1.9:
   resolved "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz"
   integrity sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==
 
-ts-node@^10.9.2:
+ts-node@^10.9.2, ts-node@>=9.0.0:
   version "10.9.2"
   resolved "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz"
   integrity sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==
@@ -12457,6 +13089,11 @@ ts-node@^10.9.2:
     v8-compile-cache-lib "^3.0.1"
     yn "3.1.1"
 
+ts-pattern@^5.6.0:
+  version "5.6.0"
+  resolved "https://registry.npmjs.org/ts-pattern/-/ts-pattern-5.6.0.tgz"
+  integrity sha512-SL8u60X5+LoEy9tmQHWCdPc2hhb2pKI6I1tU5Jue3v8+iRqZdcT3mWPwKKJy1fMfky6uha82c8ByHAE8PMhKHw==
+
 ts-pnp@^1.1.6:
   version "1.2.0"
   resolved "https://registry.npmjs.org/ts-pnp/-/ts-pnp-1.2.0.tgz"
@@ -12490,28 +13127,21 @@ tsconfig-paths@^4.0.0, tsconfig-paths@^4.1.2, tsconfig-paths@^4.2.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
+tslib@^2.0.0, tslib@^2.0.1, tslib@^2.0.3, tslib@^2.3.1, tslib@^2.4.0, tslib@^2.4.1, tslib@^2.5.0, tslib@^2.6.2, tslib@^2.6.3, tslib@2:
+  version "2.8.1"
+  resolved "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz"
+  integrity sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==
+
 tslib@2.3.0:
   version "2.3.0"
   resolved "https://registry.npmjs.org/tslib/-/tslib-2.3.0.tgz"
   integrity sha512-N82ooyxVNm6h1riLCoyS9e3fuJ3AMG2zIZs2Gd1ATcSFjSA23Q0fzjjZeh0jbJvWVDZ0cJT8yaNNaaXHzueNjg==
 
-tslib@2.6.2, tslib@^2.0.0, tslib@^2.0.1, tslib@^2.0.3, tslib@^2.1.0, tslib@^2.4.0, tslib@^2.4.1, tslib@^2.5.0:
+tslib@2.6.2:
   version "2.6.2"
   resolved "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz"
   integrity sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==
 
-tslib@^1.8.1:
-  version "1.14.1"
-  resolved "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz"
-  integrity sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==
-
-tsutils@^3.21.0:
-  version "3.21.0"
-  resolved "https://registry.npmjs.org/tsutils/-/tsutils-3.21.0.tgz"
-  integrity sha512-mHKK3iUXL+3UF6xL5k0PEhKRUBKPBCv/+RkEOpjRWxxx27KKRBmmA60A9pgOUvMi8GKhRMPEmjBRPzs2W7O1OA==
-  dependencies:
-    tslib "^1.8.1"
-
 tty-browserify@^0.0.1:
   version "0.0.1"
   resolved "https://registry.npmjs.org/tty-browserify/-/tty-browserify-0.0.1.tgz"
@@ -12554,74 +13184,90 @@ type-fest@^0.8.1:
   resolved "https://registry.npmjs.org/type-fest/-/type-fest-0.8.1.tgz"
   integrity sha512-4dbzIzqvjtgiM5rw1k5rEHtBANKmdudhGyBEajN01fEyhaAIhsoKNy6y7+IN93IfpFtwY9iqi7kD+xwKhQsNJA==
 
-type-fest@^2.14.0, type-fest@^2.19.0:
+type-fest@^2.14.0, type-fest@^2.19.0, "type-fest@>=0.17.0 <5.0.0":
   version "2.19.0"
   resolved "https://registry.npmjs.org/type-fest/-/type-fest-2.19.0.tgz"
   integrity sha512-RAH822pAdBgcNMAfWnCBU3CFZcfZ/i1eZjwFU/dsLKumyuuP3niueg2UAukXYF0E2AAoc82ZSSf9J0WQBinzHA==
 
-typed-array-buffer@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/typed-array-buffer/-/typed-array-buffer-1.0.0.tgz"
-  integrity sha512-Y8KTSIglk9OZEr8zywiIHG/kmQ7KWyjseXs1CbSo8vC42w7hg2HgYTxSWwP0+is7bWDc1H+Fo026CpHFwm8tkw==
+typed-array-buffer@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.npmjs.org/typed-array-buffer/-/typed-array-buffer-1.0.3.tgz"
+  integrity sha512-nAYYwfY3qnzX30IkA6AQZjVbtK6duGontcQm1WSG1MD94YLqK0515GNApXkoxKOWMusVssAHWLh9SeaoefYFGw==
   dependencies:
-    call-bind "^1.0.2"
-    get-intrinsic "^1.2.1"
-    is-typed-array "^1.1.10"
+    call-bound "^1.0.3"
+    es-errors "^1.3.0"
+    is-typed-array "^1.1.14"
 
-typed-array-byte-length@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/typed-array-byte-length/-/typed-array-byte-length-1.0.0.tgz"
-  integrity sha512-Or/+kvLxNpeQ9DtSydonMxCx+9ZXOswtwJn17SNLvhptaXYDJvkFFP5zbfU/uLmvnBJlI4yrnXRxpdWH/M5tNA==
+typed-array-byte-length@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.npmjs.org/typed-array-byte-length/-/typed-array-byte-length-1.0.3.tgz"
+  integrity sha512-BaXgOuIxz8n8pIq3e7Atg/7s+DpiYrxn4vdot3w9KbnBhcRQq6o3xemQdIfynqSeXeDrF32x+WvfzmOjPiY9lg==
   dependencies:
-    call-bind "^1.0.2"
+    call-bind "^1.0.8"
     for-each "^0.3.3"
-    has-proto "^1.0.1"
-    is-typed-array "^1.1.10"
+    gopd "^1.2.0"
+    has-proto "^1.2.0"
+    is-typed-array "^1.1.14"
 
-typed-array-byte-offset@^1.0.0:
-  version "1.0.0"
-  resolved "https://registry.npmjs.org/typed-array-byte-offset/-/typed-array-byte-offset-1.0.0.tgz"
-  integrity sha512-RD97prjEt9EL8YgAgpOkf3O4IF9lhJFr9g0htQkm0rchFp/Vx7LW5Q8fSXXub7BXAODyUQohRMyOc3faCPd0hg==
-  dependencies:
-    available-typed-arrays "^1.0.5"
-    call-bind "^1.0.2"
-    for-each "^0.3.3"
-    has-proto "^1.0.1"
-    is-typed-array "^1.1.10"
-
-typed-array-length@^1.0.4:
+typed-array-byte-offset@^1.0.4:
   version "1.0.4"
-  resolved "https://registry.npmjs.org/typed-array-length/-/typed-array-length-1.0.4.tgz"
-  integrity sha512-KjZypGq+I/H7HI5HlOoGHkWUUGq+Q0TPhQurLbyrVrvnKTBgzLhIJ7j6J/XTQOi0d1RjyZ0wdas8bKs2p0x3Ng==
+  resolved "https://registry.npmjs.org/typed-array-byte-offset/-/typed-array-byte-offset-1.0.4.tgz"
+  integrity sha512-bTlAFB/FBYMcuX81gbL4OcpH5PmlFHqlCCpAl8AlEzMz5k53oNDvN8p1PNOWLEmI2x4orp3raOFB51tv9X+MFQ==
   dependencies:
-    call-bind "^1.0.2"
+    available-typed-arrays "^1.0.7"
+    call-bind "^1.0.8"
     for-each "^0.3.3"
-    is-typed-array "^1.1.9"
+    gopd "^1.2.0"
+    has-proto "^1.2.0"
+    is-typed-array "^1.1.15"
+    reflect.getprototypeof "^1.0.9"
 
-typescript@4.9.5:
+typed-array-length@^1.0.7:
+  version "1.0.7"
+  resolved "https://registry.npmjs.org/typed-array-length/-/typed-array-length-1.0.7.tgz"
+  integrity sha512-3KS2b+kL7fsuk/eJZ7EQdnEmQoaho/r6KUef7hxvltNA5DR8NAUM+8wJMbJyZ4G9/7i3v5zPBIMN5aybAh2/Jg==
+  dependencies:
+    call-bind "^1.0.7"
+    for-each "^0.3.3"
+    gopd "^1.0.1"
+    is-typed-array "^1.1.13"
+    possible-typed-array-names "^1.0.0"
+    reflect.getprototypeof "^1.0.6"
+
+"typescript@^4.9.5 || ^5.3.3", "typescript@>= 4.2.x", "typescript@>= 4.3.x", "typescript@>= 4.x", typescript@>=2.7, typescript@>=3.3.1, typescript@>=4.0.0, typescript@>=4.2.0, typescript@>=4.7.4, typescript@>=4.8.4, "typescript@>=4.8.4 <5.8.0", typescript@>=4.9.5, typescript@>3.6.0, typescript@4.9.5:
   version "4.9.5"
   resolved "https://registry.npmjs.org/typescript/-/typescript-4.9.5.tgz"
   integrity sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g==
 
+"typescript@>= 5.0.0":
+  version "5.7.2"
+  resolved "https://registry.npmjs.org/typescript/-/typescript-5.7.2.tgz"
+  integrity sha512-i5t66RHxDvVN40HfDd1PsEThGNnlMCMT3jMUuoh9/0TaqWevNontacunWyN02LA9/fIbEWlcHZcgTKb9QoaLfg==
+
+typescript@>=5:
+  version "5.7.2"
+  resolved "https://registry.npmjs.org/typescript/-/typescript-5.7.2.tgz"
+  integrity sha512-i5t66RHxDvVN40HfDd1PsEThGNnlMCMT3jMUuoh9/0TaqWevNontacunWyN02LA9/fIbEWlcHZcgTKb9QoaLfg==
+
 ufo@^1.5.4:
   version "1.5.4"
   resolved "https://registry.npmjs.org/ufo/-/ufo-1.5.4.tgz"
   integrity sha512-UsUk3byDzKd04EyoZ7U4DOlxQaD14JUKQl6/P7wiX4FNvUfm3XL246n9W5AmqwW5RSFJ27NAuM0iLscAOYUiGQ==
 
-uglify-js@^3.17.4:
-  version "3.17.4"
-  resolved "https://registry.npmjs.org/uglify-js/-/uglify-js-3.17.4.tgz"
-  integrity sha512-T9q82TJI9e/C1TAxYvfb16xO120tMVFZrGA3f9/P4424DNu6ypK103y0GPFVa17yotwSyZW5iYXgjYHkGrJW/g==
+uglify-js@^3.19.3:
+  version "3.19.3"
+  resolved "https://registry.npmjs.org/uglify-js/-/uglify-js-3.19.3.tgz"
+  integrity sha512-v3Xu+yuwBXisp6QYTcH4UbH+xYJXqnq2m/LtQVWKWzYc1iehYnLixoQDN9FH6/j9/oybfd6W9Ghwkl8+UMKTKQ==
 
-unbox-primitive@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/unbox-primitive/-/unbox-primitive-1.0.2.tgz"
-  integrity sha512-61pPlCD9h51VoreyJ0BReideM3MDKMKnh6+V9L08331ipq6Q8OFXZYiqP6n/tbHx4s5I9uRhcye6BrbkizkBDw==
+unbox-primitive@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.npmjs.org/unbox-primitive/-/unbox-primitive-1.1.0.tgz"
+  integrity sha512-nWJ91DjeOkej/TA8pXQ3myruKpKEYgqvpw9lz4OPHj/NWFNluYrjbz9j01CJ8yKQd2g4jFoOkINCTW2I5LEEyw==
   dependencies:
-    call-bind "^1.0.2"
+    call-bound "^1.0.3"
     has-bigints "^1.0.2"
-    has-symbols "^1.0.3"
-    which-boxed-primitive "^1.0.2"
+    has-symbols "^1.1.0"
+    which-boxed-primitive "^1.1.1"
 
 undici-types@~6.19.8:
   version "6.19.8"
@@ -12651,38 +13297,26 @@ unicode-property-aliases-ecmascript@^2.0.0:
   resolved "https://registry.npmjs.org/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-2.1.0.tgz"
   integrity sha512-6t3foTQI9qne+OZoVQB/8x8rk2k1eVy1gRXhV3oFQ5T6R1dqQ1xtin3XqSlx3+ATBkliTaR/hHyJBm+LVPNM8w==
 
-unified@^10.0.0:
-  version "10.1.2"
-  resolved "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz"
-  integrity sha512-pUSWAi/RAnVy1Pif2kAoeWNBa3JVrx0MId2LASj8G+7AiHWoKZNTomq6LG326T68U7/e263X6fTdcXIy7XnF7Q==
+unified@^11.0.0:
+  version "11.0.5"
+  resolved "https://registry.npmjs.org/unified/-/unified-11.0.5.tgz"
+  integrity sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA==
   dependencies:
-    "@types/unist" "^2.0.0"
+    "@types/unist" "^3.0.0"
     bail "^2.0.0"
+    devlop "^1.0.0"
     extend "^3.0.0"
-    is-buffer "^2.0.0"
     is-plain-obj "^4.0.0"
     trough "^2.0.0"
-    vfile "^5.0.0"
+    vfile "^6.0.0"
 
-unist-util-find-after@^4.0.0:
-  version "4.0.1"
-  resolved "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-4.0.1.tgz"
-  integrity sha512-QO/PuPMm2ERxC6vFXEPtmAutOopy5PknD+Oq64gGwxKtk4xwo9Z97t9Av1obPmGU0IyTa6EKYUfTrK2QJS3Ozw==
+unist-util-find-after@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-5.0.0.tgz"
+  integrity sha512-amQa0Ep2m6hE2g72AugUItjbuM8X8cGQnFoHk0pGfrFeT9GZhzN5SW8nRsiGKK7Aif4CrACPENkA6P/Lw6fHGQ==
   dependencies:
-    "@types/unist" "^2.0.0"
-    unist-util-is "^5.0.0"
-
-unist-util-generated@^2.0.0:
-  version "2.0.1"
-  resolved "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-2.0.1.tgz"
-  integrity sha512-qF72kLmPxAw0oN2fwpWIqbXAVyEqUzDHMsbtPvOudIlUzXYFIeQIuxXQCRCFh22B7cixvU0MG7m3MW8FTq/S+A==
-
-unist-util-is@^5.0.0:
-  version "5.2.1"
-  resolved "https://registry.npmjs.org/unist-util-is/-/unist-util-is-5.2.1.tgz"
-  integrity sha512-u9njyyfEh43npf1M+yGKDGVPbY/JWEemg5nH05ncKPfi+kBbKBJoTdsogMu33uhytuLlv9y0O7GH7fEdwLdLQw==
-  dependencies:
-    "@types/unist" "^2.0.0"
+    "@types/unist" "^3.0.0"
+    unist-util-is "^6.0.0"
 
 unist-util-is@^6.0.0:
   version "6.0.0"
@@ -12691,19 +13325,12 @@ unist-util-is@^6.0.0:
   dependencies:
     "@types/unist" "^3.0.0"
 
-unist-util-position-from-estree@^1.0.0, unist-util-position-from-estree@^1.1.0:
-  version "1.1.2"
-  resolved "https://registry.npmjs.org/unist-util-position-from-estree/-/unist-util-position-from-estree-1.1.2.tgz"
-  integrity sha512-poZa0eXpS+/XpoQwGwl79UUdea4ol2ZuCYguVaJS4qzIOMDzbqz8a3erUCOmubSZkaOuGamb3tX790iwOIROww==
+unist-util-position-from-estree@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/unist-util-position-from-estree/-/unist-util-position-from-estree-2.0.0.tgz"
+  integrity sha512-KaFVRjoqLyF6YXCbVLNad/eS4+OfPQQn2yOd7zF/h5T/CSL2v8NpN6a5TPvtbXthAGw5nG+PuTtq+DdIZr+cRQ==
   dependencies:
-    "@types/unist" "^2.0.0"
-
-unist-util-position@^4.0.0:
-  version "4.0.4"
-  resolved "https://registry.npmjs.org/unist-util-position/-/unist-util-position-4.0.4.tgz"
-  integrity sha512-kUBE91efOWfIVBo8xzh/uZQ7p9ffYRtUbMRZBNFYwf0RK8koUMx6dGUfwylLOKmaT2cs4wSW96QoYUSXAyEtpg==
-  dependencies:
-    "@types/unist" "^2.0.0"
+    "@types/unist" "^3.0.0"
 
 unist-util-position@^5.0.0:
   version "5.0.0"
@@ -12712,27 +13339,13 @@ unist-util-position@^5.0.0:
   dependencies:
     "@types/unist" "^3.0.0"
 
-unist-util-remove-position@^4.0.0:
-  version "4.0.2"
-  resolved "https://registry.npmjs.org/unist-util-remove-position/-/unist-util-remove-position-4.0.2.tgz"
-  integrity sha512-TkBb0HABNmxzAcfLf4qsIbFbaPDvMO6wa3b3j4VcEzFVaw1LBKwnW4/sRJ/atSLSzoIg41JWEdnE7N6DIhGDGQ==
+unist-util-remove-position@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.npmjs.org/unist-util-remove-position/-/unist-util-remove-position-5.0.0.tgz"
+  integrity sha512-Hp5Kh3wLxv0PHj9m2yZhhLt58KzPtEYKQQ4yxfYFEO7EvHwzyDYnduhHnY1mDxoqr7VUwVuHXk9RXKIiYS1N8Q==
   dependencies:
-    "@types/unist" "^2.0.0"
-    unist-util-visit "^4.0.0"
-
-unist-util-stringify-position@^2.0.0:
-  version "2.0.3"
-  resolved "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-2.0.3.tgz"
-  integrity sha512-3faScn5I+hy9VleOq/qNbAd6pAx7iH5jYBMS9I1HgQVijz/4mv5Bvw5iw1sC/90CODiKo81G/ps8AJrISn687g==
-  dependencies:
-    "@types/unist" "^2.0.2"
-
-unist-util-stringify-position@^3.0.0:
-  version "3.0.3"
-  resolved "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-3.0.3.tgz"
-  integrity sha512-k5GzIBZ/QatR8N5X2y+drfpWG8IDBzdnVj6OInRNWm1oXrzydiaAT2OQiA8DPRRZyAKb9b6I2a6PxYklZD0gKg==
-  dependencies:
-    "@types/unist" "^2.0.0"
+    "@types/unist" "^3.0.0"
+    unist-util-visit "^5.0.0"
 
 unist-util-stringify-position@^4.0.0:
   version "4.0.0"
@@ -12741,14 +13354,6 @@ unist-util-stringify-position@^4.0.0:
   dependencies:
     "@types/unist" "^3.0.0"
 
-unist-util-visit-parents@^5.0.0, unist-util-visit-parents@^5.1.1:
-  version "5.1.3"
-  resolved "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-5.1.3.tgz"
-  integrity sha512-x6+y8g7wWMyQhL1iZfhIPhDAs7Xwbn9nRosDXl7qoPTSCy0yNxnKc+hWokFifWQIDGi154rdUqKvbCa4+1kLhg==
-  dependencies:
-    "@types/unist" "^2.0.0"
-    unist-util-is "^5.0.0"
-
 unist-util-visit-parents@^6.0.0:
   version "6.0.1"
   resolved "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.1.tgz"
@@ -12757,15 +13362,6 @@ unist-util-visit-parents@^6.0.0:
     "@types/unist" "^3.0.0"
     unist-util-is "^6.0.0"
 
-unist-util-visit@^4.0.0:
-  version "4.1.2"
-  resolved "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-4.1.2.tgz"
-  integrity sha512-MSd8OUGISqHdVvfY9TPhyK2VdUrPgxkUtWSuMHF6XAAFuL4LokseigBnZtPnJMu+FbynTkFNnFlyjxpVKujMRg==
-  dependencies:
-    "@types/unist" "^2.0.0"
-    unist-util-is "^5.0.0"
-    unist-util-visit-parents "^5.1.1"
-
 unist-util-visit@^5.0.0:
   version "5.0.0"
   resolved "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-5.0.0.tgz"
@@ -12775,6 +13371,11 @@ unist-util-visit@^5.0.0:
     unist-util-is "^6.0.0"
     unist-util-visit-parents "^6.0.0"
 
+universal-user-agent@^7.0.0, universal-user-agent@^7.0.2:
+  version "7.0.2"
+  resolved "https://registry.npmjs.org/universal-user-agent/-/universal-user-agent-7.0.2.tgz"
+  integrity sha512-0JCqzSKnStlRRQfCdowvqy3cy0Dvtlb8xecj/H8JFZuCze4rwjPZQOgvFvn0Ws/usCHQFGpyr+pB9adaGwXn4Q==
+
 universalify@^0.2.0:
   version "0.2.0"
   resolved "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz"
@@ -12829,17 +13430,17 @@ url@^0.11.0:
     punycode "^1.4.1"
     qs "^6.12.3"
 
-use-context-selector@^1.4.1:
-  version "1.4.1"
-  resolved "https://registry.npmjs.org/use-context-selector/-/use-context-selector-1.4.1.tgz"
-  integrity sha512-Io2ArvcRO+6MWIhkdfMFt+WKQX+Vb++W8DS2l03z/Vw/rz3BclKpM0ynr4LYGyU85Eke+Yx5oIhTY++QR0ZDoA==
+use-context-selector@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.npmjs.org/use-context-selector/-/use-context-selector-2.0.0.tgz"
+  integrity sha512-owfuSmUNd3eNp3J9CdDl0kMgfidV+MkDvHPpvthN5ThqM+ibMccNE0k+Iq7TWC6JPFvGZqanqiGCuQx6DyV24g==
 
 use-strict@1.0.1:
   version "1.0.1"
   resolved "https://registry.npmjs.org/use-strict/-/use-strict-1.0.1.tgz"
   integrity sha512-IeiWvvEXfW5ltKVMkxq6FvNf2LojMKvB2OCeja6+ct24S1XOmQw2dGr2JyndwACWAGJva9B7yPHwAmeA9QCqAQ==
 
-use-sync-external-store@1.2.0, use-sync-external-store@^1.2.0:
+use-sync-external-store@^1.2.0, use-sync-external-store@1.2.0:
   version "1.2.0"
   resolved "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz"
   integrity sha512-eEgnFxGQ1Ife9bzYs6VLi8/4X6CObHMw9Qr9tPY43iKwsPw8xE8+EFsf/2cFZ5S3esXgpWgtSCtLNS41F+sKPA==
@@ -12865,20 +13466,20 @@ utila@~0.4:
   resolved "https://registry.npmjs.org/utila/-/utila-0.4.0.tgz"
   integrity sha512-Z0DbgELS9/L/75wZbro8xAnT50pBVFQZ+hUEueGDU5FN51YSCYM+jdxsfCiHjwNP/4LCDD0i/graKpeBnOXKRA==
 
-uuid@^9.0.0, uuid@^9.0.1:
+uuid@^10.0.0:
+  version "10.0.0"
+  resolved "https://registry.npmjs.org/uuid/-/uuid-10.0.0.tgz"
+  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+
+uuid@^9.0.0:
   version "9.0.1"
   resolved "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz"
   integrity sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==
 
-uvu@^0.5.0:
-  version "0.5.6"
-  resolved "https://registry.npmjs.org/uvu/-/uvu-0.5.6.tgz"
-  integrity sha512-+g8ENReyr8YsOc6fv/NVJs2vFdHBnBNdfE49rshrTzDWOlUx4Gq7KOS2GD8eqhy2j+Ejq29+SbKH8yjkAqXqoA==
-  dependencies:
-    dequal "^2.0.0"
-    diff "^5.0.0"
-    kleur "^4.0.3"
-    sade "^1.7.3"
+uuid@^9.0.1:
+  version "9.0.1"
+  resolved "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz"
+  integrity sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==
 
 v8-compile-cache-lib@^3.0.1:
   version "3.0.1"
@@ -12894,6 +13495,11 @@ v8-to-istanbul@^9.0.1:
     "@types/istanbul-lib-coverage" "^2.0.1"
     convert-source-map "^2.0.0"
 
+valibot@^1.0.0-beta.9:
+  version "1.0.0-beta.9"
+  resolved "https://registry.npmjs.org/valibot/-/valibot-1.0.0-beta.9.tgz"
+  integrity sha512-yEX8gMAZ2R1yI2uwOO4NCtVnJQx36zn3vD0omzzj9FhcoblvPukENIiRZXKZwCnqSeV80bMm8wNiGhQ0S8fiww==
+
 validate-npm-package-license@^3.0.1:
   version "3.0.4"
   resolved "https://registry.npmjs.org/validate-npm-package-license/-/validate-npm-package-license-3.0.4.tgz"
@@ -12902,14 +13508,6 @@ validate-npm-package-license@^3.0.1:
     spdx-correct "^3.0.0"
     spdx-expression-parse "^3.0.0"
 
-vfile-location@^4.0.0:
-  version "4.1.0"
-  resolved "https://registry.npmjs.org/vfile-location/-/vfile-location-4.1.0.tgz"
-  integrity sha512-YF23YMyASIIJXpktBa4vIGLJ5Gs88UB/XePgqPmTa7cDA+JeO3yclbpheQYCHjVHBn/yePzrXuygIL+xbvRYHw==
-  dependencies:
-    "@types/unist" "^2.0.0"
-    vfile "^5.0.0"
-
 vfile-location@^5.0.0:
   version "5.0.3"
   resolved "https://registry.npmjs.org/vfile-location/-/vfile-location-5.0.3.tgz"
@@ -12918,14 +13516,6 @@ vfile-location@^5.0.0:
     "@types/unist" "^3.0.0"
     vfile "^6.0.0"
 
-vfile-message@^3.0.0:
-  version "3.1.4"
-  resolved "https://registry.npmjs.org/vfile-message/-/vfile-message-3.1.4.tgz"
-  integrity sha512-fa0Z6P8HUrQN4BZaX05SIVXic+7kE3b05PWAtPuYP9QLHsLKYR7/AlLW3NtOrpXRLeawpDLMsVkmk5DG0NXgWw==
-  dependencies:
-    "@types/unist" "^2.0.0"
-    unist-util-stringify-position "^3.0.0"
-
 vfile-message@^4.0.0:
   version "4.0.2"
   resolved "https://registry.npmjs.org/vfile-message/-/vfile-message-4.0.2.tgz"
@@ -12934,16 +13524,6 @@ vfile-message@^4.0.0:
     "@types/unist" "^3.0.0"
     unist-util-stringify-position "^4.0.0"
 
-vfile@^5.0.0:
-  version "5.3.7"
-  resolved "https://registry.npmjs.org/vfile/-/vfile-5.3.7.tgz"
-  integrity sha512-r7qlzkgErKjobAmyNIkkSpizsFPYiUPuJb5pNW1RB4JcYVZhs4lIbVqk8XPk033CV/1z8ss5pkax8SuhGpcG8g==
-  dependencies:
-    "@types/unist" "^2.0.0"
-    is-buffer "^2.0.0"
-    unist-util-stringify-position "^3.0.0"
-    vfile-message "^3.0.0"
-
 vfile@^6.0.0:
   version "6.0.3"
   resolved "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz"
@@ -13004,10 +13584,10 @@ vscode-uri@~3.0.8:
   resolved "https://registry.npmjs.org/vscode-uri/-/vscode-uri-3.0.8.tgz"
   integrity sha512-AyFQ0EVmsOZOlAnxoFOGOq1SQDWAB7C6aqMGS23svWAllfOaxbuFvcT8D1i8z3Gyn8fraVeZNNmN6e9bxxXkKw==
 
-vue-eslint-parser@^9.3.0:
-  version "9.3.0"
-  resolved "https://registry.npmjs.org/vue-eslint-parser/-/vue-eslint-parser-9.3.0.tgz"
-  integrity sha512-48IxT9d0+wArT1+3wNIy0tascRoywqSUe2E1YalIC1L8jsUGe5aJQItWfRok7DVFGz3UYvzEI7n5wiTXsCMAcQ==
+vue-eslint-parser@^9.4.3:
+  version "9.4.3"
+  resolved "https://registry.npmjs.org/vue-eslint-parser/-/vue-eslint-parser-9.4.3.tgz"
+  integrity sha512-2rYRLWlIpaiN8xbPiDyXZXRgLGOtWxERV7ND5fFAv5qo1D2N9Fu9MNajBNc6o13lZ+24DAWCkQCvj4klgmcITg==
   dependencies:
     debug "^4.3.4"
     eslint-scope "^7.1.1"
@@ -13044,11 +13624,6 @@ web-namespaces@^2.0.0:
   resolved "https://registry.npmjs.org/web-namespaces/-/web-namespaces-2.0.1.tgz"
   integrity sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ==
 
-webidl-conversions@^3.0.0:
-  version "3.0.1"
-  resolved "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz"
-  integrity sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==
-
 webidl-conversions@^7.0.0:
   version "7.0.0"
   resolved "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz"
@@ -13072,7 +13647,7 @@ webpack-dev-middleware@^6.1.2:
     range-parser "^1.2.1"
     schema-utils "^4.0.0"
 
-webpack-hot-middleware@^2.25.1:
+webpack-hot-middleware@^2.25.1, webpack-hot-middleware@2.x:
   version "2.26.1"
   resolved "https://registry.npmjs.org/webpack-hot-middleware/-/webpack-hot-middleware-2.26.1.tgz"
   integrity sha512-khZGfAeJx6I8K9zKohEWWYN6KDlVw2DHownoe+6Vtwj1LP9WFgegXnVMSkZ/dBEBtXFwrkkydsaPFlB7f8wU2A==
@@ -13081,7 +13656,7 @@ webpack-hot-middleware@^2.25.1:
     html-entities "^2.1.0"
     strip-ansi "^6.0.0"
 
-webpack-sources@^3.2.3:
+webpack-sources@^3, webpack-sources@^3.2.3:
   version "3.2.3"
   resolved "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz"
   integrity sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==
@@ -13091,7 +13666,7 @@ webpack-virtual-modules@^0.6.0, webpack-virtual-modules@^0.6.2:
   resolved "https://registry.npmjs.org/webpack-virtual-modules/-/webpack-virtual-modules-0.6.2.tgz"
   integrity sha512-66/V2i5hQanC51vBQKPH4aI8NMAcBW59FVBs+rC7eGHupMyfn34q7rZIE+ETlJ+XTevqfUhVVBgSUNSW2flEUQ==
 
-webpack@5:
+webpack@^5.0.0, webpack@^5.1.0, webpack@^5.11.0, webpack@^5.20.0, "webpack@>= 4", "webpack@>=4.43.0 <6.0.0", webpack@>=5, webpack@5:
   version "5.97.1"
   resolved "https://registry.npmjs.org/webpack/-/webpack-5.97.1.tgz"
   integrity sha512-EksG6gFY3L1eFMROS/7Wzgrii5mBAFe4rIr3r2BTfo7bcc+DWwFZ4OJ/miOuHJO/A85HwyI4eQ0F6IKXesO7Fg==
@@ -13140,63 +13715,57 @@ whatwg-url@^11.0.0:
     tr46 "^3.0.0"
     webidl-conversions "^7.0.0"
 
-whatwg-url@^5.0.0:
-  version "5.0.0"
-  resolved "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz"
-  integrity sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==
+which-boxed-primitive@^1.1.0, which-boxed-primitive@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.1.1.tgz"
+  integrity sha512-TbX3mj8n0odCBFVlY8AxkqcHASw3L60jIuF8jFP78az3C2YhmGvqbHBpAjTRH2/xqYunrJ9g1jSyjCjpoWzIAA==
   dependencies:
-    tr46 "~0.0.3"
-    webidl-conversions "^3.0.0"
+    is-bigint "^1.1.0"
+    is-boolean-object "^1.2.1"
+    is-number-object "^1.1.1"
+    is-string "^1.1.1"
+    is-symbol "^1.1.1"
 
-which-boxed-primitive@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.0.2.tgz"
-  integrity sha512-bwZdv0AKLpplFY2KZRX6TvyuN7ojjr7lwkg6ml0roIy9YeuSr7JS372qlNW18UQYzgYK9ziGcerWqZOmEn9VNg==
+which-builtin-type@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.2.1.tgz"
+  integrity sha512-6iBczoX+kDQ7a3+YJBnh3T+KZRxM/iYNPXicqk66/Qfm1b93iu+yOImkg0zHbj5LNOcNv1TEADiZ0xa34B4q6Q==
   dependencies:
-    is-bigint "^1.0.1"
-    is-boolean-object "^1.1.0"
-    is-number-object "^1.0.4"
-    is-string "^1.0.5"
-    is-symbol "^1.0.3"
-
-which-builtin-type@^1.1.3:
-  version "1.1.3"
-  resolved "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.1.3.tgz"
-  integrity sha512-YmjsSMDBYsM1CaFiayOVT06+KJeXf0o5M/CAd4o1lTadFAtacTUM49zoYxr/oroopFDfhvN6iEcBxUyc3gvKmw==
-  dependencies:
-    function.prototype.name "^1.1.5"
-    has-tostringtag "^1.0.0"
+    call-bound "^1.0.2"
+    function.prototype.name "^1.1.6"
+    has-tostringtag "^1.0.2"
     is-async-function "^2.0.0"
-    is-date-object "^1.0.5"
-    is-finalizationregistry "^1.0.2"
+    is-date-object "^1.1.0"
+    is-finalizationregistry "^1.1.0"
     is-generator-function "^1.0.10"
-    is-regex "^1.1.4"
+    is-regex "^1.2.1"
     is-weakref "^1.0.2"
     isarray "^2.0.5"
-    which-boxed-primitive "^1.0.2"
-    which-collection "^1.0.1"
-    which-typed-array "^1.1.9"
+    which-boxed-primitive "^1.1.0"
+    which-collection "^1.0.2"
+    which-typed-array "^1.1.16"
 
-which-collection@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.npmjs.org/which-collection/-/which-collection-1.0.1.tgz"
-  integrity sha512-W8xeTUwaln8i3K/cY1nGXzdnVZlidBcagyNFtBdD5kxnb4TvGKR7FfSIS3mYpwWS1QUCutfKz8IY8RjftB0+1A==
+which-collection@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.npmjs.org/which-collection/-/which-collection-1.0.2.tgz"
+  integrity sha512-K4jVyjnBdgvc86Y6BkaLZEN933SwYOuBFkdmBu9ZfkcAbdVbpITnDmjvZ/aQjRXQrv5EPkTnD1s39GiiqbngCw==
   dependencies:
-    is-map "^2.0.1"
-    is-set "^2.0.1"
-    is-weakmap "^2.0.1"
-    is-weakset "^2.0.1"
+    is-map "^2.0.3"
+    is-set "^2.0.3"
+    is-weakmap "^2.0.2"
+    is-weakset "^2.0.3"
 
-which-typed-array@^1.1.11, which-typed-array@^1.1.13, which-typed-array@^1.1.2, which-typed-array@^1.1.9:
-  version "1.1.13"
-  resolved "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.13.tgz"
-  integrity sha512-P5Nra0qjSncduVPEAr7xhoF5guty49ArDTwzJ/yNuPIbZppyRxFQsRCWrocxIY+CnMVG+qfbU2FmDKyvSGClow==
+which-typed-array@^1.1.16, which-typed-array@^1.1.18, which-typed-array@^1.1.2:
+  version "1.1.18"
+  resolved "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.18.tgz"
+  integrity sha512-qEcY+KJYlWyLH9vNbsr6/5j59AXk5ni5aakf8ldzBvGde6Iz4sxZGkJyWSAueTG7QhOvNRYb1lDdFmL5Td0QKA==
   dependencies:
-    available-typed-arrays "^1.0.5"
-    call-bind "^1.0.4"
+    available-typed-arrays "^1.0.7"
+    call-bind "^1.0.8"
+    call-bound "^1.0.3"
     for-each "^0.3.3"
-    gopd "^1.0.1"
-    has-tostringtag "^1.0.0"
+    gopd "^1.2.0"
+    has-tostringtag "^1.0.2"
 
 which@^2.0.1:
   version "2.0.2"
@@ -13205,22 +13774,15 @@ which@^2.0.1:
   dependencies:
     isexe "^2.0.0"
 
-wide-align@^1.1.2:
-  version "1.1.5"
-  resolved "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz"
-  integrity sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==
-  dependencies:
-    string-width "^1.0.2 || 2 || 3 || 4"
-
 word-wrap@^1.2.5:
   version "1.2.5"
   resolved "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz"
   integrity sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==
 
-wrap-ansi@^6.2.0:
-  version "6.2.0"
-  resolved "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-6.2.0.tgz"
-  integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA==
+"wrap-ansi-cjs@npm:wrap-ansi@^7.0.0":
+  version "7.0.0"
+  resolved "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz"
+  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
   dependencies:
     ansi-styles "^4.0.0"
     string-width "^4.1.0"
@@ -13235,6 +13797,24 @@ wrap-ansi@^7.0.0:
     string-width "^4.1.0"
     strip-ansi "^6.0.0"
 
+wrap-ansi@^8.1.0:
+  version "8.1.0"
+  resolved "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz"
+  integrity sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==
+  dependencies:
+    ansi-styles "^6.1.0"
+    string-width "^5.0.1"
+    strip-ansi "^7.0.1"
+
+wrap-ansi@^9.0.0:
+  version "9.0.0"
+  resolved "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-9.0.0.tgz"
+  integrity sha512-G8ura3S+3Z2G+mkgNRq8dqaFZAuxfsxpBB8OCTGRTCtp+l/v9nbFNmCUP1BZMts3G1142MsZfn6eeUKrr4PD1Q==
+  dependencies:
+    ansi-styles "^6.2.1"
+    string-width "^7.0.0"
+    strip-ansi "^7.1.0"
+
 wrappy@1:
   version "1.0.2"
   resolved "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz"
@@ -13278,15 +13858,10 @@ yallist@^3.0.2:
   resolved "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz"
   integrity sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==
 
-yallist@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz"
-  integrity sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==
-
-yaml-eslint-parser@^1.1.0, yaml-eslint-parser@^1.2.1:
-  version "1.2.2"
-  resolved "https://registry.npmjs.org/yaml-eslint-parser/-/yaml-eslint-parser-1.2.2.tgz"
-  integrity sha512-pEwzfsKbTrB8G3xc/sN7aw1v6A6c/pKxLAkjclnAyo5g5qOh6eL9WGu0o3cSDQZKrTNk4KL4lQSwZW+nBkANEg==
+yaml-eslint-parser@^1.2.1, yaml-eslint-parser@^1.2.3:
+  version "1.2.3"
+  resolved "https://registry.npmjs.org/yaml-eslint-parser/-/yaml-eslint-parser-1.2.3.tgz"
+  integrity sha512-4wZWvE398hCP7O8n3nXKu/vdq1HcH01ixYlCREaJL5NUMwQ0g3MaGFUBNSlmBtKmhbtVG/Cm6lyYmSVTEVil8A==
   dependencies:
     eslint-visitor-keys "^3.0.0"
     lodash "^4.17.21"
@@ -13297,17 +13872,27 @@ yaml@^1.10.0:
   resolved "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz"
   integrity sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==
 
-yaml@^2.0.0, yaml@^2.1.1, yaml@^2.2.2:
+yaml@^2.0.0:
   version "2.3.1"
   resolved "https://registry.npmjs.org/yaml/-/yaml-2.3.1.tgz"
   integrity sha512-2eHWfjaoXgTBC2jNM1LRef62VQa0umtvRiDSk6HSzW7RvS5YtkabJrwYLLEKWBc8a5U2PTSCs+dJjUTJdlHsWQ==
 
+yaml@^2.3.4:
+  version "2.6.1"
+  resolved "https://registry.npmjs.org/yaml/-/yaml-2.6.1.tgz"
+  integrity sha512-7r0XPzioN/Q9kXBro/XPnA6kznR73DHq+GXh5ON7ZozRO6aMjbmiBuKste2wslTFkC5d1dw0GooOCepZXJ2SAg==
+
+yaml@~2.6.1:
+  version "2.6.1"
+  resolved "https://registry.npmjs.org/yaml/-/yaml-2.6.1.tgz"
+  integrity sha512-7r0XPzioN/Q9kXBro/XPnA6kznR73DHq+GXh5ON7ZozRO6aMjbmiBuKste2wslTFkC5d1dw0GooOCepZXJ2SAg==
+
 yargs-parser@^21.1.1:
   version "21.1.1"
   resolved "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz"
   integrity sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==
 
-yargs@^17.3.1:
+yargs@^17.3.1, yargs@^17.7.2:
   version "17.7.2"
   resolved "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz"
   integrity sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==
@@ -13320,6 +13905,13 @@ yargs@^17.3.1:
     y18n "^5.0.5"
     yargs-parser "^21.1.1"
 
+yjs@>=13.5.22:
+  version "13.6.21"
+  resolved "https://registry.npmjs.org/yjs/-/yjs-13.6.21.tgz"
+  integrity sha512-/fzzyeCAfr3Qwx1D71zvumm64x+Q5MEFel6EhWlA1IBFxWPb7tei4J2a8CJyjpYHfVrRij5q3RJTK9W2Iqjouw==
+  dependencies:
+    lib0 "^0.2.98"
+
 yn@3.1.1:
   version "3.1.1"
   resolved "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz"
@@ -13335,14 +13927,14 @@ yocto-queue@^1.0.0:
   resolved "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.1.1.tgz"
   integrity sha512-b4JR1PFR10y1mKjhHY9LaGo6tmrgjit7hxVIeAmyMw3jegXR4dhYqLaQF5zMXZxY7tLpMyJeLjr1C4rLmkVe8g==
 
-zod@^3.23.6:
-  version "3.23.8"
-  resolved "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz"
-  integrity sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==
+zod@^3.23.8:
+  version "3.24.1"
+  resolved "https://registry.npmjs.org/zod/-/zod-3.24.1.tgz"
+  integrity sha512-muH7gBL9sI1nciMZV67X5fTKKBLtwpZ5VBp1vsOQzj1MhrBZ4wlVCm3gedKZWLp0Oyel8sIGfeiz54Su+OVT+A==
 
 zrender@5.6.0:
   version "5.6.0"
-  resolved "https://registry.yarnpkg.com/zrender/-/zrender-5.6.0.tgz#01325b0bb38332dd5e87a8dbee7336cafc0f4a5b"
+  resolved "https://registry.npmjs.org/zrender/-/zrender-5.6.0.tgz"
   integrity sha512-uzgraf4njmmHAbEUxMJ8Oxg+P3fT04O+9p7gY+wJRVxo8Ge+KmYv0WJev945EH4wFuc4OY2NLXz46FZrWS9xJg==
   dependencies:
     tslib "2.3.0"
@@ -13352,7 +13944,7 @@ zundo@^2.1.0:
   resolved "https://registry.npmjs.org/zundo/-/zundo-2.1.0.tgz"
   integrity sha512-IMhYXDZWbyGu/p3rQb1d3orhCfAyi9hGkx6N579ZtO7mWrzvBdNyGEcxciv1jtIYPKBqLSAgzKqjLguau09f9g==
 
-zustand@^4.4.1, zustand@^4.5.2:
+zustand@^4.3.0, zustand@^4.4.1, zustand@^4.5.2:
   version "4.5.2"
   resolved "https://registry.npmjs.org/zustand/-/zustand-4.5.2.tgz"
   integrity sha512-2cN1tPkDVkwCy5ickKrI7vijSjPksFRfqS6237NzT0vqSsztTNnQdHw9mmN7uBdk3gceVXU0a+21jFzFzAc9+g==

From f5f83f1924b101e0e2f0917965e806daad5bdd5b Mon Sep 17 00:00:00 2001
From: Joel <iamjoel007@gmail.com>
Date: Mon, 17 Feb 2025 18:11:07 +0800
Subject: [PATCH 214/217] fix: markdown merge error (#13853)

---
 web/app/components/base/markdown.tsx | 83 ++++++++++++----------------
 1 file changed, 34 insertions(+), 49 deletions(-)

diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx
index d21277cbb1..37691416e9 100644
--- a/web/app/components/base/markdown.tsx
+++ b/web/app/components/base/markdown.tsx
@@ -1,4 +1,3 @@
-import type { Components } from 'react-markdown'
 import ReactMarkdown from 'react-markdown'
 import ReactEcharts from 'echarts-for-react'
 import 'katex/dist/katex.min.css'
@@ -9,8 +8,8 @@ import RemarkGfm from 'remark-gfm'
 import RehypeRaw from 'rehype-raw'
 import SyntaxHighlighter from 'react-syntax-highlighter'
 import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs'
-import { Component, createContext, memo, useContext, useMemo, useRef, useState } from 'react'
-import { flow } from 'lodash/fp'
+import { Component, memo, useMemo, useRef, useState } from 'react'
+import { flow } from 'lodash-es'
 import cn from '@/utils/classnames'
 import CopyBtn from '@/app/components/base/copy-btn'
 import SVGBtn from '@/app/components/base/svg'
@@ -22,7 +21,7 @@ import AudioGallery from '@/app/components/base/audio-gallery'
 import SVGRenderer from '@/app/components/base/svg-gallery'
 import MarkdownButton from '@/app/components/base/markdown-blocks/button'
 import MarkdownForm from '@/app/components/base/markdown-blocks/form'
-import type { ElementContentMap } from 'hast'
+import ThinkBlock from '@/app/components/base/markdown-blocks/think-block'
 
 // Available language https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_HLJS.MD
 const capitalizationLanguageNameMap: Record<string, string> = {
@@ -57,7 +56,7 @@ const getCorrectCapitalizationLanguageName = (language: string) => {
   return language.charAt(0).toUpperCase() + language.substring(1)
 }
 
-const preprocessLaTeX = (content?: string) => {
+const preprocessLaTeX = (content: string) => {
   if (typeof content !== 'string')
     return content
 
@@ -91,20 +90,6 @@ export function PreCode(props: { children: any }) {
   )
 }
 
-const PreContext = createContext({
-  // if children not in PreContext, just leave inline true
-  inline: true,
-})
-
-const PreBlock: Components['pre'] = (props) => {
-  const { ...rest } = props
-  return <PreContext.Provider value={{
-    inline: false,
-  }}>
-    <pre {...rest} />
-  </PreContext.Provider>
-}
-
 // **Add code block
 // Avoid error #185 (Maximum update depth exceeded.
 // This can happen when a component repeatedly calls setState inside componentWillUpdate or componentDidUpdate.
@@ -118,8 +103,7 @@ const PreBlock: Components['pre'] = (props) => {
 // visit https://reactjs.org/docs/error-decoder.html?invariant=185 for the full message
 // or use the non-minified dev environment for full errors and additional helpful warnings.
 
-const CodeBlock: Components['code'] = memo(({ className, children, ...props }) => {
-  const { inline } = useContext(PreContext)
+const CodeBlock: any = memo(({ inline, className, children, ...props }) => {
   const [isSVG, setIsSVG] = useState(true)
   const match = /language-(\w+)/.exec(className || '')
   const language = match?.[1]
@@ -158,7 +142,7 @@ const CodeBlock: Components['code'] = memo(({ className, children, ...props }) =
     else {
       return (
         <SyntaxHighlighter
-          {...props as any}
+          {...props}
           style={atelierHeathLight}
           customStyle={{
             paddingLeft: 12,
@@ -199,23 +183,23 @@ const CodeBlock: Components['code'] = memo(({ className, children, ...props }) =
     </div>
   )
 })
-// CodeBlock.displayName = 'CodeBlock'
+CodeBlock.displayName = 'CodeBlock'
 
-const VideoBlock: Components['video'] = memo(({ node }) => {
-  const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
+const VideoBlock: any = memo(({ node }) => {
+  const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
   if (srcs.length === 0)
     return null
   return <VideoGallery key={srcs.join()} srcs={srcs} />
 })
-// VideoBlock.displayName = 'VideoBlock'
+VideoBlock.displayName = 'VideoBlock'
 
-const AudioBlock: Components['audio'] = memo(({ node }) => {
-  const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
+const AudioBlock: any = memo(({ node }) => {
+  const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src)
   if (srcs.length === 0)
     return null
   return <AudioGallery key={srcs.join()} srcs={srcs} />
 })
-// AudioBlock.displayName = 'AudioBlock'
+AudioBlock.displayName = 'AudioBlock'
 
 const ScriptBlock = memo(({ node }: any) => {
   const scriptContent = node.children[0]?.value || ''
@@ -223,32 +207,34 @@ const ScriptBlock = memo(({ node }: any) => {
 })
 ScriptBlock.displayName = 'ScriptBlock'
 
-const Paragraph: Components['p'] = ({ node, children }) => {
-  const children_node = node!.children
-  if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img')
-    return <ImageGallery srcs={[children_node?.[0]?.properties?.src as string]} />
-  return <p>{children}</p>
+const Paragraph = (paragraph: any) => {
+  const { node }: any = paragraph
+  const children_node = node.children
+  if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img') {
+    return (
+      <>
+        <ImageGallery srcs={[children_node[0].properties.src]} />
+        <p>{paragraph.children.slice(1)}</p>
+      </>
+    )
+  }
+  return <p>{paragraph.children}</p>
 }
 
-const Img: Components['img'] = ({ src }) => {
-  return (<ImageGallery srcs={[src!]} />)
+const Img = ({ src }: any) => {
+  return (<ImageGallery srcs={[src]} />)
 }
 
-const Link: Components['a'] = ({ node, ...props }) => {
-  if (node!.properties?.href && node!.properties.href?.toString().startsWith('abbr')) {
+const Link = ({ node, ...props }: any) => {
+  if (node.properties?.href && node.properties.href?.toString().startsWith('abbr')) {
     // eslint-disable-next-line react-hooks/rules-of-hooks
     const { onSend } = useChatContext()
-    const hidden_text = decodeURIComponent(node!.properties.href.toString().split('abbr:')[1])
-    const title = (node!.children[0] as ElementContentMap['text'])?.value
-    return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={title}>{title}</abbr>
+    const hidden_text = decodeURIComponent(node.properties.href.toString().split('abbr:')[1])
+
+    return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={node.children[0]?.value}>{node.children[0]?.value}</abbr>
   }
   else {
-    const firstChild = node?.children?.[0] as ElementContentMap['text'] | undefined
-    return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{
-      firstChild
-        ? firstChild.value
-        : 'Download'
-    }</a>
+    return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{node.children[0] ? node.children[0]?.value : 'Download'}</a>
   }
 }
 
@@ -258,7 +244,7 @@ export function Markdown(props: { content: string; className?: string }) {
     preprocessLaTeX,
   ])(props.content)
   return (
-    <div className={cn('markdown-body', props.className)}>
+    <div className={cn(props.className, 'markdown-body')}>
       <ReactMarkdown
         remarkPlugins={[
           RemarkGfm,
@@ -284,7 +270,6 @@ export function Markdown(props: { content: string; className?: string }) {
         ]}
         disallowedElements={['iframe', 'head', 'html', 'meta', 'link', 'style', 'body']}
         components={{
-          pre: PreBlock,
           code: CodeBlock,
           img: Img,
           video: VideoBlock,

From bea10b4356dbe9d20687ce0762494217293c6baa Mon Sep 17 00:00:00 2001
From: Yeuoly <45712896+Yeuoly@users.noreply.github.com>
Date: Mon, 17 Feb 2025 18:16:45 +0800
Subject: [PATCH 215/217] fix: undefined attribute 'query' on MessageAnnotation
 (#13852)

---
 api/models/model.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api/models/model.py b/api/models/model.py
index aaed9ded77..7591e66464 100644
--- a/api/models/model.py
+++ b/api/models/model.py
@@ -1289,7 +1289,7 @@ class MessageAnnotation(Base):
         return account
 
 
-class AppAnnotationHitHistory(Base):
+class AppAnnotationHitHistory(db.Model):  # type: ignore[name-defined]
     __tablename__ = "app_annotation_hit_histories"
     __table_args__ = (
         db.PrimaryKeyConstraint("id", name="app_annotation_hit_histories_pkey"),

From abe5aca3e217a5575dd733cbd9d94e3107e68ea4 Mon Sep 17 00:00:00 2001
From: "Charlie.Wei" <luowei@cvte.com>
Date: Mon, 17 Feb 2025 18:22:36 +0800
Subject: [PATCH 216/217] Retrieval service optimization (#13849)

---
 api/core/rag/datasource/retrieval_service.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py
index 07a9055944..725df69fd0 100644
--- a/api/core/rag/datasource/retrieval_service.py
+++ b/api/core/rag/datasource/retrieval_service.py
@@ -301,7 +301,6 @@ class RetrievalService:
                                 DocumentSegment.id,
                                 DocumentSegment.content,
                                 DocumentSegment.answer,
-                                DocumentSegment.doc_metadata,
                             )
                         )
                         .first()
@@ -362,7 +361,6 @@ class RetrievalService:
                     record = {
                         "segment": segment,
                         "score": document.metadata.get("score"),  # type: ignore
-                        "segment_metadata": segment.doc_metadata,
                     }
                     records.append(record)
 

From 363c46ace8bb25fe1f8498e7e8b5e08817c1f1bb Mon Sep 17 00:00:00 2001
From: Bowen Liang <liangbowen@gf.com.cn>
Date: Mon, 17 Feb 2025 23:37:49 +0800
Subject: [PATCH 217/217] fix: add missing package xinference_client to pass
 vdb CI tests (#13865)

---
 api/poetry.lock    | 65 ++++++++++++++++------------------------------
 api/pyproject.toml |  1 +
 api/pytest.ini     |  1 +
 3 files changed, 24 insertions(+), 43 deletions(-)

diff --git a/api/poetry.lock b/api/poetry.lock
index f6181c07cb..52e3a64673 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -860,10 +860,6 @@ files = [
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
-    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
     {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
     {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
     {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"},
@@ -876,14 +872,8 @@ files = [
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
-    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
     {file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"},
     {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
-    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
-    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
     {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"},
@@ -894,24 +884,8 @@ files = [
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@@ -936,10 +906,6 @@ files = [
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@@ -952,10 +918,6 @@ files = [
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@@ -968,10 +930,6 @@ files = [
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     {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
@@ -9809,6 +9767,27 @@ files = [
     {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
 ]
 
+[[package]]
+name = "xinference-client"
+version = "1.2.2"
+description = "Client for Xinference"
+optional = false
+python-versions = "*"
+groups = ["vdb"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "xinference-client-1.2.2.tar.gz", hash = "sha256:85d2ba0fcbaae616b06719c422364123cbac97f3e3c82e614095fe6d0e630ed0"},
+    {file = "xinference_client-1.2.2-py3-none-any.whl", hash = "sha256:6941d87cf61283a9d6e81cee6cb2609a183d34c6b7d808c6ba0c33437520518f"},
+]
+
+[package.dependencies]
+pydantic = "*"
+requests = "*"
+typing-extensions = "*"
+
+[package.extras]
+dev = ["black", "cython (>=0.29)", "flake8 (>=3.8.0)", "ipython (>=6.5.0)", "pytest (>=3.5.0)", "pytest-asyncio (>=0.14.0)", "pytest-cov (>=2.5.0)", "pytest-forked (>=1.0)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=1.2.0)"]
+
 [[package]]
 name = "xlrd"
 version = "2.0.1"
@@ -10165,4 +10144,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "7bb979b6667b099ad0ba75a9cad287409c6d7739b595c05197581ad1c0d702ce"
+content-hash = "a61e69fbd8c0306ed676d791b3783f8ba9914f871855543b265c4e7b5d2af0f9"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 937f5940ad..4a881a3e28 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -134,6 +134,7 @@ tidb-vector = "0.0.9"
 upstash-vector = "0.6.0"
 volcengine-compat = "~1.0.156"
 weaviate-client = "~3.21.0"
+xinference-client = "~1.2.2"
 
 ############################################################
 # [ Dev ] dependency group
diff --git a/api/pytest.ini b/api/pytest.ini
index 5e4636fa93..3de1649798 100644
--- a/api/pytest.ini
+++ b/api/pytest.ini
@@ -1,4 +1,5 @@
 [pytest]
+continue-on-collection-errors = true
 env =
     ANTHROPIC_API_KEY = sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz
     AZURE_OPENAI_API_BASE = https://difyai-openai.openai.azure.com